From db4d8d1fa1e848ffd1ba04ccd34f84f980497bd4 Mon Sep 17 00:00:00 2001
From: lbluque <lbluque@users.noreply.github.com>
Date: Tue, 21 Jan 2025 20:26:46 +0000
Subject: [PATCH] deploy: c162617a6572555c0259ccf3dbe5f56fc4d2cbce

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 core/fine-tuning/fine-tuning-oxides.html      |  1937 +++
 core/gotchas.html                             |  3277 +++++
 core/inference.html                           |  1550 ++
 core/install.html                             |   864 ++
 core/intro_series.html                        |   731 +
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 core/quickstart.html                          |  1043 ++
 execution_time.html                           |   835 ++
 genindex.html                                 | 11825 ++++++++++++++++
 index.html                                    |   878 ++
 legacy_tutorials/OCP_Tutorial.html            |  7278 ++++++++++
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 legacy_tutorials/legacy_tutorials.html        |   770 +
 objects.inv                                   |   Bin 33070 -> 33045 bytes
 py-modindex.html                              |  1806 +++
 search.html                                   |   656 +
 searchindex.js                                |     1 +
 tutorials/NRR/NRR_example.html                |  1577 +++
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 tutorials/fairchem_models_for_nebs.html       |   923 ++
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diff --git a/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt b/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt
new file mode 100644
index 0000000000..2f6360f39d
--- /dev/null
+++ b/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt
@@ -0,0 +1,208 @@
+2025-01-21 19:31:31 /home/runner/work/fairchem/fairchem/src/fairchem/core/_cli.py:131: (INFO): Running in local mode without elastic launch (single gpu only)
+2025-01-21 19:31:31 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1023: (INFO): Setting env PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
+2025-01-21 19:31:31 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:358: (INFO): Project root: /home/runner/work/fairchem/fairchem/src/fairchem
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), "Jd.pt"))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), "Jd.pt"))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), "Jd.pt"))
+2025-01-21 19:31:32 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: false
+cmd:
+  checkpoint_dir: fine-tuning/checkpoints/2025-01-21-19-31-12-ft-oxides
+  commit: c162617
+  identifier: ft-oxides
+  logs_dir: fine-tuning/logs/tensorboard/2025-01-21-19-31-12-ft-oxides
+  print_every: 10
+  results_dir: fine-tuning/results/2025-01-21-19-31-12-ft-oxides
+  seed: 0
+  timestamp_id: 2025-01-21-19-31-12-ft-oxides
+  version: 0.1.dev1+gc162617
+dataset:
+  a2g_args:
+    r_energy: true
+    r_forces: true
+  format: ase_db
+  src: train.db
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 4
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 10
+  factor: 0.8
+  force_coefficient: 1
+  loss_energy: mae
+  lr_initial: 0.0005
+  max_epochs: 1
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm: {}
+task: {}
+test_dataset:
+  a2g_args:
+    r_energy: false
+    r_forces: false
+  format: ase_db
+  src: test.db
+trainer: ocp
+val_dataset:
+  a2g_args:
+    r_energy: true
+    r_forces: true
+  format: ase_db
+  src: val.db
+
+2025-01-21 19:31:32 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: gemnet_oc
+2025-01-21 19:31:32 /home/runner/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/gemnet_oc.py:251: (WARNING): Unrecognized arguments: ['symmetric_edge_symmetrization']
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded GemNetOC with 38864438 parameters.
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/logger.py:157: (WARNING): log_summary for Tensorboard not supported
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:358: (INFO): Loading dataset: ase_db
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in '[PosixPath('train.db')]'
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=<fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7fbecd2281d0>, batch_size=4, drop_last=False
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in '[PosixPath('val.db')]'
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=<fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7fbeccfaf560>, batch_size=16, drop_last=False
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in '[PosixPath('test.db')]'
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=<fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7fbeccfaf770>, batch_size=16, drop_last=False
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:701: (WARNING): Using `weight_decay` from `optim` instead of `optim.optimizer_params`.Please update your config to use `optim.optimizer_params.weight_decay`.`optim.weight_decay` will soon be deprecated.
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/tasks/task.py:38: (INFO): Attemping to load user specified checkpoint at /tmp/fairchem_checkpoints/gnoc_oc22_oc20_all_s2ef.pt
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:606: (INFO): Loading checkpoint from: /tmp/fairchem_checkpoints/gnoc_oc22_oc20_all_s2ef.pt
+/home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:607: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=map_location)
+2025-01-21 19:31:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:636: (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+2025-01-21 19:31:59 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 9.48e+00, forcesx_mae: 7.26e-02, forcesy_mae: 3.95e-02, forcesz_mae: 5.74e-02, forces_mae: 5.65e-02, forces_cosine_similarity: 1.12e-01, forces_magnitude_error: 1.11e-01, energy_forces_within_threshold: 0.00e+00, loss: 9.61e+00, lr: 5.00e-04, epoch: 1.69e-01, step: 1.00e+01
+2025-01-21 19:32:00 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+
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+2025-01-21 19:32:07 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_mae: 19.3123, forcesx_mae: 0.2055, forcesy_mae: 0.1585, forcesz_mae: 0.1641, forces_mae: 0.1760, forces_cosine_similarity: -0.0775, forces_magnitude_error: 0.3616, energy_forces_within_threshold: 0.0000, loss: 19.5687, epoch: 0.1695
+2025-01-21 19:32:07 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:445: (INFO): Predicting on test.
+
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+2025-01-21 19:32:13 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:1003: (INFO): Writing results to fine-tuning/results/2025-01-21-19-31-12-ft-oxides/ocp_predictions.npz
+2025-01-21 19:32:34 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 7.51e+00, forcesx_mae: 5.95e-02, forcesy_mae: 5.59e-02, forcesz_mae: 4.46e-02, forces_mae: 5.33e-02, forces_cosine_similarity: -5.83e-03, forces_magnitude_error: 1.04e-01, energy_forces_within_threshold: 0.00e+00, loss: 7.64e+00, lr: 5.00e-04, epoch: 3.39e-01, step: 2.00e+01
+2025-01-21 19:32:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+
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+2025-01-21 19:32:42 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_mae: 6.5844, forcesx_mae: 0.0251, forcesy_mae: 0.0256, forcesz_mae: 0.0186, forces_mae: 0.0231, forces_cosine_similarity: -0.0864, forces_magnitude_error: 0.0280, energy_forces_within_threshold: 0.0000, loss: 6.6059, epoch: 0.3390
+2025-01-21 19:32:42 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:445: (INFO): Predicting on test.
+
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+2025-01-21 19:32:48 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:1003: (INFO): Writing results to fine-tuning/results/2025-01-21-19-31-12-ft-oxides/ocp_predictions.npz
+2025-01-21 19:33:13 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.06e+01, forcesx_mae: 4.33e-02, forcesy_mae: 3.21e-02, forcesz_mae: 3.93e-02, forces_mae: 3.82e-02, forces_cosine_similarity: -1.03e-01, forces_magnitude_error: 5.50e-02, energy_forces_within_threshold: 0.00e+00, loss: 1.07e+01, lr: 5.00e-04, epoch: 5.08e-01, step: 3.00e+01
+2025-01-21 19:33:15 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+
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+2025-01-21 19:33:22 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_mae: 2.0479, forcesx_mae: 0.0194, forcesy_mae: 0.0267, forcesz_mae: 0.0219, forces_mae: 0.0227, forces_cosine_similarity: 0.0348, forces_magnitude_error: 0.0349, energy_forces_within_threshold: 0.0000, loss: 2.1084, epoch: 0.5085
+2025-01-21 19:33:22 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:445: (INFO): Predicting on test.
+
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+2025-01-21 19:33:28 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:1003: (INFO): Writing results to fine-tuning/results/2025-01-21-19-31-12-ft-oxides/ocp_predictions.npz
+2025-01-21 19:33:52 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 5.72e+00, forcesx_mae: 2.17e-02, forcesy_mae: 1.41e-02, forcesz_mae: 2.01e-02, forces_mae: 1.86e-02, forces_cosine_similarity: 3.91e-02, forces_magnitude_error: 2.25e-02, energy_forces_within_threshold: 0.00e+00, loss: 5.76e+00, lr: 5.00e-04, epoch: 6.78e-01, step: 4.00e+01
+2025-01-21 19:33:54 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+
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+2025-01-21 19:34:01 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_mae: 10.1361, forcesx_mae: 0.0222, forcesy_mae: 0.0208, forcesz_mae: 0.0154, forces_mae: 0.0194, forces_cosine_similarity: -0.0290, forces_magnitude_error: 0.0258, energy_forces_within_threshold: 0.0000, loss: 10.2282, epoch: 0.6780
+2025-01-21 19:34:01 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:445: (INFO): Predicting on test.
+
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+2025-01-21 19:34:07 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:1003: (INFO): Writing results to fine-tuning/results/2025-01-21-19-31-12-ft-oxides/ocp_predictions.npz
+2025-01-21 19:34:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 3.70e+00, forcesx_mae: 2.87e-02, forcesy_mae: 2.14e-02, forcesz_mae: 2.24e-02, forces_mae: 2.42e-02, forces_cosine_similarity: -2.40e-02, forces_magnitude_error: 3.02e-02, energy_forces_within_threshold: 0.00e+00, loss: 3.75e+00, lr: 5.00e-04, epoch: 8.47e-01, step: 5.00e+01
+2025-01-21 19:34:30 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+
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+2025-01-21 19:34:37 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_mae: 1.5806, forcesx_mae: 0.0212, forcesy_mae: 0.0285, forcesz_mae: 0.0253, forces_mae: 0.0250, forces_cosine_similarity: -0.0986, forces_magnitude_error: 0.0323, energy_forces_within_threshold: 0.0000, loss: 1.6296, epoch: 0.8475
+2025-01-21 19:34:59 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1112: (INFO): Total time taken: 203.6349081993103
diff --git a/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt b/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt
new file mode 100644
index 0000000000..bd3e30f385
--- /dev/null
+++ b/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt
@@ -0,0 +1,140 @@
+2025-01-21 19:37:23 /home/runner/work/fairchem/fairchem/src/fairchem/core/_cli.py:131: (INFO): Running in local mode without elastic launch (single gpu only)
+2025-01-21 19:37:23 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1023: (INFO): Setting env PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
+2025-01-21 19:37:23 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:358: (INFO): Project root: /home/runner/work/fairchem/fairchem/src/fairchem
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), "Jd.pt"))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), "Jd.pt"))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), "Jd.pt"))
+2025-01-21 19:37:24 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: false
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: ''
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/tensorboard/2025-01-21-19-37-36
+  print_every: 10
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: 0
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset: {}
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  cbf:
+    name: spherical_harmonics
+  cutoff: 6.0
+  direct_forces: true
+  emb_size_atom: 512
+  emb_size_bil_trip: 64
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_rbf: 16
+  emb_size_trip: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  max_neighbors: 50
+  name: gemnet_t
+  num_after_skip: 2
+  num_atom: 3
+  num_before_skip: 1
+  num_blocks: 3
+  num_concat: 1
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  rbf:
+    name: gaussian
+  regress_forces: true
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  force_coefficient: 1
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_gamma: 0.8
+  lr_initial: 0.0005
+  lr_milestones:
+  - 64000
+  - 96000
+  - 128000
+  - 160000
+  - 192000
+  max_epochs: 80
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  warmup_steps: -1
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm: {}
+task:
+  prediction_dtype: float32
+test_dataset:
+  a2g_args:
+    r_energy: false
+    r_forces: false
+  format: ase_db
+  select_args:
+    selection: natoms>5,xc=PBE
+  src: data.db
+trainer: ocp
+val_dataset: {}
+
+2025-01-21 19:37:24 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: gemnet_t
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded GemNetT with 31671825 parameters.
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/logger.py:157: (WARNING): log_summary for Tensorboard not supported
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in '[PosixPath('data.db')]'
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=<fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7fcddcc00b90>, batch_size=16, drop_last=False
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/tasks/task.py:38: (INFO): Attemping to load user specified checkpoint at /tmp/fairchem_checkpoints/gndt_oc22_all_s2ef.pt
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:606: (INFO): Loading checkpoint from: /tmp/fairchem_checkpoints/gndt_oc22_all_s2ef.pt
+/home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:607: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=map_location)
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:636: (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor comment not found in model
+2025-01-21 19:37:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:445: (INFO): Predicting on test.
+
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device 0:  33%|███████████▋                       | 1/3 [00:03<00:06,  3.19s/it]
device 0:  67%|███████████████████████▎           | 2/3 [00:06<00:03,  3.08s/it]
device 0: 100%|███████████████████████████████████| 3/3 [00:06<00:00,  1.99s/it]
device 0: 100%|███████████████████████████████████| 3/3 [00:06<00:00,  2.30s/it]
+2025-01-21 19:37:33 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:1003: (INFO): Writing results to /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36/ocp_predictions.npz
+2025-01-21 19:37:33 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1112: (INFO): Total time taken: 7.040971517562866
+Elapsed time = 14.4 seconds
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diff --git a/_sources/autoapi/core/datasets/base_dataset/index.rst b/_sources/autoapi/core/datasets/base_dataset/index.rst
index 1ddedcd058..a4a0818bd3 100644
--- a/_sources/autoapi/core/datasets/base_dataset/index.rst
+++ b/_sources/autoapi/core/datasets/base_dataset/index.rst
@@ -32,7 +32,6 @@ Classes
 
 .. autoapisummary::
 
-   core.datasets.base_dataset.DatasetMetadata
    core.datasets.base_dataset.BaseDataset
    core.datasets.base_dataset.Subset
 
@@ -50,17 +49,6 @@ Module Contents
 
 .. py:data:: T_co
 
-.. py:class:: DatasetMetadata
-
-   Bases: :py:obj:`NamedTuple`
-
-
-   .. py:attribute:: natoms
-      :type:  numpy.typing.ArrayLike | None
-      :value: None
-
-
-
 .. py:exception:: UnsupportedDatasetError
 
    Bases: :py:obj:`ValueError`
@@ -100,14 +88,14 @@ Module Contents
 
 
    .. py:property:: _metadata
-      :type: DatasetMetadata
+      :type: dict[str, numpy.typing.ArrayLike]
 
 
 
    .. py:method:: get_metadata(attr, idx)
 
 
-.. py:class:: Subset(dataset: BaseDataset, indices: collections.abc.Sequence[int], metadata: DatasetMetadata | None = None)
+.. py:class:: Subset(dataset: BaseDataset, indices: collections.abc.Sequence[int], metadata: dict[str, numpy.typing.ArrayLike])
 
    Bases: :py:obj:`torch.utils.data.Subset`, :py:obj:`BaseDataset`
 
@@ -128,7 +116,7 @@ Module Contents
 
 
    .. py:property:: _metadata
-      :type: DatasetMetadata
+      :type: dict[str, numpy.typing.ArrayLike]
 
 
 
diff --git a/_sources/autoapi/core/datasets/index.rst b/_sources/autoapi/core/datasets/index.rst
index 6a7a010dd6..cfdb4c6eee 100644
--- a/_sources/autoapi/core/datasets/index.rst
+++ b/_sources/autoapi/core/datasets/index.rst
@@ -404,8 +404,5 @@ Package Contents
    .. py:method:: __del__()
 
 
-   .. py:method:: sample_property_metadata(num_samples: int = 100)
-
-
 .. py:function:: data_list_collater(data_list: list[torch_geometric.data.data.BaseData], otf_graph: bool = False, to_dict: bool = False) -> torch_geometric.data.data.BaseData | dict[str, torch.Tensor]
 
diff --git a/_sources/autoapi/core/datasets/lmdb_dataset/index.rst b/_sources/autoapi/core/datasets/lmdb_dataset/index.rst
index c20f5c658f..cac9048789 100644
--- a/_sources/autoapi/core/datasets/lmdb_dataset/index.rst
+++ b/_sources/autoapi/core/datasets/lmdb_dataset/index.rst
@@ -81,8 +81,5 @@ Module Contents
    .. py:method:: __del__()
 
 
-   .. py:method:: sample_property_metadata(num_samples: int = 100)
-
-
 .. py:function:: data_list_collater(data_list: list[torch_geometric.data.data.BaseData], otf_graph: bool = False, to_dict: bool = False) -> torch_geometric.data.data.BaseData | dict[str, torch.Tensor]
 
diff --git a/_sources/autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.rst b/_sources/autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.rst
index 3a490873a4..fc6cb2f4e8 100644
--- a/_sources/autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.rst
+++ b/_sources/autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.rst
@@ -201,6 +201,9 @@ Module Contents
 
    .. py:method:: train(disable_eval_tqdm=False)
 
+      Run model training iterations.
+
+
 
    .. py:method:: _compute_loss(out, batch)
 
diff --git a/_sources/autoapi/core/models/gemnet_oc/layers/force_scaler/index.rst b/_sources/autoapi/core/models/gemnet_oc/layers/force_scaler/index.rst
index f67f56d2f2..15b46075df 100644
--- a/_sources/autoapi/core/models/gemnet_oc/layers/force_scaler/index.rst
+++ b/_sources/autoapi/core/models/gemnet_oc/layers/force_scaler/index.rst
@@ -26,7 +26,7 @@ Module Contents
 
    Scales up the energy and then scales down the forces
    to prevent NaNs and infs in calculations using AMP.
-   Inspired by torch.cuda.amp.GradScaler.
+   Inspired by torch.GradScaler("cuda", args...).
 
 
    .. py:attribute:: scale_factor
diff --git a/_sources/core/datasets/omat24.md b/_sources/core/datasets/omat24.md
index 194a10db11..813fca6bc3 100644
--- a/_sources/core/datasets/omat24.md
+++ b/_sources/core/datasets/omat24.md
@@ -28,37 +28,39 @@ same procedure as described in our manuscript.
 ## File contents and downloads
 
 ### OMat24 train split
-|       Sub-dataset        | No. structures | File size |                                                                   Download                                                                   |
-|:------------------------:|:--------------:|:---------:|:--------------------------------------------------------------------------------------------------------------------------------------------:|
-|      rattled-1000        |    122,937     |   21 GB   |           [rattled-1000.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-1000.tar.gz)            |
-| rattled-1000-subsampled  |     41,786     |  7.1 GB   |[rattled-1000-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-1000-subsampled.tar.gz) |
-|       rattled-500        |     75,167     |   13 GB   |            [rattled-500.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-500.tar.gz)             |
-|  rattled-500-subsampled  |     43,068     |  7.3 GB   | [rattled-500-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-500-subsampled.tar.gz)  |
-|       rattled-300        |     68,593     |   12 GB   |            [rattled-300.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-300.tar.gz)             |
-|  rattled-300-subsampled  |     37,393     |  6.4 GB   | [rattled-300-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-300-subsampled.tar.gz)  |
-|  aimd-from-PBE-1000-npt  |    223,574     |   26 GB   | [aimd-from-PBE-1000-npt.tar.gz](hhtps://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/aimd-from-PBE-1000-npt.tar.gz)  |
-|  aimd-from-PBE-1000-nvt  |    215,589     |   24 GB   | [aimd-from-PBE-1000-nvt.tar.gz](hhtps://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/aimd-from-PBE-1000-nvt.tar.gz)  |
-|  aimd-from-PBE-3000-npt  |     65,244     |   25 GB   | [aimd-from-PBE-3000-npt.tar.gz](hhtps://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/aimd-from-PBE-3000-npt.tar.gz)  |
-|  aimd-from-PBE-3000-nvt  |     84,063     |   32 GB   | [aimd-from-PBE-3000-npt.tar.gz](hhtps://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/aimd-from-PBE-3000-npt.tar.gz)  |
-|      rattled-relax       |     99,968     |   12 GB   |            [rattled-relax.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-relax.tar.gz)         |
+|       Sub-dataset        | No. structures | File size |                                                                    Download                                                                     |
+|:------------------------:|:--------------:|:---------:|:-----------------------------------------------------------------------------------------------------------------------------------------------:|
+|      rattled-1000        |    122,937     |   21 GB   |            [rattled-1000.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-1000.tar.gz)            |
+| rattled-1000-subsampled  |     41,786     |  7.1 GB   | [rattled-1000-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-1000-subsampled.tar.gz) |
+|       rattled-500        |     75,167     |   13 GB   |             [rattled-500.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-500.tar.gz)             |
+|  rattled-500-subsampled  |     43,068     |  7.3 GB   |  [rattled-500-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-500-subsampled.tar.gz)  |
+|       rattled-300        |     68,593     |   12 GB   |             [rattled-300.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-300.tar.gz)             |
+|  rattled-300-subsampled  |     37,393     |  6.4 GB   |  [rattled-300-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-300-subsampled.tar.gz)  |
+|  aimd-from-PBE-1000-npt  |    223,574     |   26 GB   |  [aimd-from-PBE-1000-npt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/aimd-from-PBE-1000-npt.tar.gz)  |
+|  aimd-from-PBE-1000-nvt  |    215,589     |   24 GB   |  [aimd-from-PBE-1000-nvt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/aimd-from-PBE-1000-nvt.tar.gz)  |
+|  aimd-from-PBE-3000-npt  |     65,244     |   25 GB   |  [aimd-from-PBE-3000-npt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/aimd-from-PBE-3000-npt.tar.gz)  |
+|  aimd-from-PBE-3000-nvt  |     84,063     |   32 GB   |  [aimd-from-PBE-3000-nvt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/aimd-from-PBE-3000-nvt.tar.gz)  |
+|      rattled-relax       |     99,968     |   12 GB   |           [rattled-relax.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-relax.tar.gz)           |
 |          Total           |   1,077,382    | 185.8 GB  |
 
 ### OMat24 val split (this is a 1M subset used to train eqV2 models from the 5M val split)
+**_NOTE:_** The original validation sets contained a duplicated structures. Corrected validation sets were uploaded on 20/12/24. Please see this [issue](https://github.com/FAIR-Chem/fairchem/issues/942)
+for more details, an re-download the correct version of the validation sets if needed.
 
 |       Sub-dataset       |   Size    | File Size |                                                                                                                                      Download |
 |:-----------------------:|:---------:|:---------:|----------------------------------------------------------------------------------------------------------------------------------------------:|
-|      rattled-1000       |  122,937  |  229 MB   |                       [rattled-1000.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-1000.tar.gz) |
-| rattled-1000-subsampled |  41,786   |   80 MB   | [rattled-1000-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-1000-subsampled.tar.gz) |
-|       rattled-500       |  75,167   |  142 MB   |                         [rattled-500.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-500.tar.gz) |
-| rattled-500-subsampled  |  43,068   |   82 MB   |   [rattled-500-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-500-subsampled.tar.gz) |
-|       rattled-300       |  68,593   |  128 MB   |                         [rattled-300.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-300.tar.gz) |
-| rattled-300-subsampled  |  37,393   |   72 MB   |   [rattled-300-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-300-subsampled.tar.gz) |
-| aimd-from-PBE-1000-npt  |  223,574  |  274 MB   |   [aimd-from-PBE-1000-npt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/aimd-from-PBE-1000-npt.tar.gz) |
-| aimd-from-PBE-1000-nvt  |  215,589  |  254 MB   |   [aimd-from-PBE-1000-nvt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/aimd-from-PBE-1000-nvt.tar.gz) |
-| aimd-from-PBE-3000-npt  |  65,244   |  296 MB   |   [aimd-from-PBE-3000-npt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/aimd-from-PBE-3000-npt.tar.gz) |
-| aimd-from-PBE-3000-nvt  |  84,063   |  382 MB   |   [aimd-from-PBE-3000-nvt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/aimd-from-PBE-3000-nvt.tar.gz) |
-|      rattled-relax      |  99,968   |  124 MB   |                     [rattled-relax.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/val/rattled-relax.tar.gz) |
-|          Total          | 1,077,382 |  2.1 GB   |
+|      rattled-1000       |  117,004  |  218 MB   |                       [rattled-1000.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-1000.tar.gz) |
+| rattled-1000-subsampled |  39,785   |   77 MB   | [rattled-1000-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-1000-subsampled.tar.gz) |
+|       rattled-500       |  71,522   |  135 MB   |                         [rattled-500.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-500.tar.gz) |
+| rattled-500-subsampled  |  41,021   |   79 MB   |   [rattled-500-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-500-subsampled.tar.gz) |
+|       rattled-300       |  65,235   |  122 MB   |                         [rattled-300.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-300.tar.gz) |
+| rattled-300-subsampled  |  35,579   |   69 MB   |   [rattled-300-subsampled.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-300-subsampled.tar.gz) |
+| aimd-from-PBE-1000-npt  |  212,737  |  261 MB   |   [aimd-from-PBE-1000-npt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/aimd-from-PBE-1000-npt.tar.gz) |
+| aimd-from-PBE-1000-nvt  |  205,165  |  251 MB   |   [aimd-from-PBE-1000-nvt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/aimd-from-PBE-1000-nvt.tar.gz) |
+| aimd-from-PBE-3000-npt  |  62,130   |  282 MB   |   [aimd-from-PBE-3000-npt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/aimd-from-PBE-3000-npt.tar.gz) |
+| aimd-from-PBE-3000-nvt  |  79,977   |  364 MB   |   [aimd-from-PBE-3000-nvt.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/aimd-from-PBE-3000-nvt.tar.gz) |
+|      rattled-relax      |  95,206   |  118 MB   |                     [rattled-relax.tar.gz](https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-relax.tar.gz) |
+|          Total          | 1,025,361 |  1.98 GB  |
 
 
 ### sAlex Dataset
diff --git a/_sphinx_design_static/design-tabs.js b/_sphinx_design_static/design-tabs.js
new file mode 100644
index 0000000000..b25bd6a4fa
--- /dev/null
+++ b/_sphinx_design_static/design-tabs.js
@@ -0,0 +1,101 @@
+// @ts-check
+
+// Extra JS capability for selected tabs to be synced
+// The selection is stored in local storage so that it persists across page loads.
+
+/**
+ * @type {Record<string, HTMLElement[]>}
+ */
+let sd_id_to_elements = {};
+const storageKeyPrefix = "sphinx-design-tab-id-";
+
+/**
+ * Create a key for a tab element.
+ * @param {HTMLElement} el - The tab element.
+ * @returns {[string, string, string] | null} - The key.
+ *
+ */
+function create_key(el) {
+  let syncId = el.getAttribute("data-sync-id");
+  let syncGroup = el.getAttribute("data-sync-group");
+  if (!syncId || !syncGroup) return null;
+  return [syncGroup, syncId, syncGroup + "--" + syncId];
+}
+
+/**
+ * Initialize the tab selection.
+ *
+ */
+function ready() {
+  // Find all tabs with sync data
+
+  /** @type {string[]} */
+  let groups = [];
+
+  document.querySelectorAll(".sd-tab-label").forEach((label) => {
+    if (label instanceof HTMLElement) {
+      let data = create_key(label);
+      if (data) {
+        let [group, id, key] = data;
+
+        // add click event listener
+        // @ts-ignore
+        label.onclick = onSDLabelClick;
+
+        // store map of key to elements
+        if (!sd_id_to_elements[key]) {
+          sd_id_to_elements[key] = [];
+        }
+        sd_id_to_elements[key].push(label);
+
+        if (groups.indexOf(group) === -1) {
+          groups.push(group);
+          // Check if a specific tab has been selected via URL parameter
+          const tabParam = new URLSearchParams(window.location.search).get(
+            group
+          );
+          if (tabParam) {
+            console.log(
+              "sphinx-design: Selecting tab id for group '" +
+                group +
+                "' from URL parameter: " +
+                tabParam
+            );
+            window.sessionStorage.setItem(storageKeyPrefix + group, tabParam);
+          }
+        }
+
+        // Check is a specific tab has been selected previously
+        let previousId = window.sessionStorage.getItem(
+          storageKeyPrefix + group
+        );
+        if (previousId === id) {
+          // console.log(
+          //   "sphinx-design: Selecting tab from session storage: " + id
+          // );
+          // @ts-ignore
+          label.previousElementSibling.checked = true;
+        }
+      }
+    }
+  });
+}
+
+/**
+ *  Activate other tabs with the same sync id.
+ *
+ * @this {HTMLElement} - The element that was clicked.
+ */
+function onSDLabelClick() {
+  let data = create_key(this);
+  if (!data) return;
+  let [group, id, key] = data;
+  for (const label of sd_id_to_elements[key]) {
+    if (label === this) continue;
+    // @ts-ignore
+    label.previousElementSibling.checked = true;
+  }
+  window.sessionStorage.setItem(storageKeyPrefix + group, id);
+}
+
+document.addEventListener("DOMContentLoaded", ready, false);
diff --git a/_sphinx_design_static/sphinx-design.min.css b/_sphinx_design_static/sphinx-design.min.css
new file mode 100644
index 0000000000..860c36da0f
--- /dev/null
+++ b/_sphinx_design_static/sphinx-design.min.css
@@ -0,0 +1 @@
+.sd-bg-primary{background-color:var(--sd-color-primary) !important}.sd-bg-text-primary{color:var(--sd-color-primary-text) !important}button.sd-bg-primary:focus,button.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}a.sd-bg-primary:focus,a.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}.sd-bg-secondary{background-color:var(--sd-color-secondary) !important}.sd-bg-text-secondary{color:var(--sd-color-secondary-text) !important}button.sd-bg-secondary:focus,button.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}a.sd-bg-secondary:focus,a.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}.sd-bg-success{background-color:var(--sd-color-success) !important}.sd-bg-text-success{color:var(--sd-color-success-text) !important}button.sd-bg-success:focus,button.sd-bg-success:hover{background-color:var(--sd-color-success-highlight) !important}a.sd-bg-success:focus,a.sd-bg-success:hover{background-color:var(--sd-color-success-highlight) !important}.sd-bg-info{background-color:var(--sd-color-info) !important}.sd-bg-text-info{color:var(--sd-color-info-text) !important}button.sd-bg-info:focus,button.sd-bg-info:hover{background-color:var(--sd-color-info-highlight) !important}a.sd-bg-info:focus,a.sd-bg-info:hover{background-color:var(--sd-color-info-highlight) !important}.sd-bg-warning{background-color:var(--sd-color-warning) !important}.sd-bg-text-warning{color:var(--sd-color-warning-text) !important}button.sd-bg-warning:focus,button.sd-bg-warning:hover{background-color:var(--sd-color-warning-highlight) !important}a.sd-bg-warning:focus,a.sd-bg-warning:hover{background-color:var(--sd-color-warning-highlight) !important}.sd-bg-danger{background-color:var(--sd-color-danger) !important}.sd-bg-text-danger{color:var(--sd-color-danger-text) !important}button.sd-bg-danger:focus,button.sd-bg-danger:hover{background-color:var(--sd-color-danger-highlight) !important}a.sd-bg-danger:focus,a.sd-bg-danger:hover{background-color:var(--sd-color-danger-highlight) !important}.sd-bg-light{background-color:var(--sd-color-light) !important}.sd-bg-text-light{color:var(--sd-color-light-text) !important}button.sd-bg-light:focus,button.sd-bg-light:hover{background-color:var(--sd-color-light-highlight) !important}a.sd-bg-light:focus,a.sd-bg-light:hover{background-color:var(--sd-color-light-highlight) !important}.sd-bg-muted{background-color:var(--sd-color-muted) !important}.sd-bg-text-muted{color:var(--sd-color-muted-text) !important}button.sd-bg-muted:focus,button.sd-bg-muted:hover{background-color:var(--sd-color-muted-highlight) !important}a.sd-bg-muted:focus,a.sd-bg-muted:hover{background-color:var(--sd-color-muted-highlight) !important}.sd-bg-dark{background-color:var(--sd-color-dark) !important}.sd-bg-text-dark{color:var(--sd-color-dark-text) !important}button.sd-bg-dark:focus,button.sd-bg-dark:hover{background-color:var(--sd-color-dark-highlight) !important}a.sd-bg-dark:focus,a.sd-bg-dark:hover{background-color:var(--sd-color-dark-highlight) !important}.sd-bg-black{background-color:var(--sd-color-black) !important}.sd-bg-text-black{color:var(--sd-color-black-text) !important}button.sd-bg-black:focus,button.sd-bg-black:hover{background-color:var(--sd-color-black-highlight) !important}a.sd-bg-black:focus,a.sd-bg-black:hover{background-color:var(--sd-color-black-highlight) !important}.sd-bg-white{background-color:var(--sd-color-white) !important}.sd-bg-text-white{color:var(--sd-color-white-text) !important}button.sd-bg-white:focus,button.sd-bg-white:hover{background-color:var(--sd-color-white-highlight) !important}a.sd-bg-white:focus,a.sd-bg-white:hover{background-color:var(--sd-color-white-highlight) !important}.sd-text-primary,.sd-text-primary>p{color:var(--sd-color-primary) !important}a.sd-text-primary:focus,a.sd-text-primary:hover{color:var(--sd-color-primary-highlight) !important}.sd-text-secondary,.sd-text-secondary>p{color:var(--sd-color-secondary) !important}a.sd-text-secondary:focus,a.sd-text-secondary:hover{color:var(--sd-color-secondary-highlight) !important}.sd-text-success,.sd-text-success>p{color:var(--sd-color-success) !important}a.sd-text-success:focus,a.sd-text-success:hover{color:var(--sd-color-success-highlight) !important}.sd-text-info,.sd-text-info>p{color:var(--sd-color-info) !important}a.sd-text-info:focus,a.sd-text-info:hover{color:var(--sd-color-info-highlight) !important}.sd-text-warning,.sd-text-warning>p{color:var(--sd-color-warning) !important}a.sd-text-warning:focus,a.sd-text-warning:hover{color:var(--sd-color-warning-highlight) !important}.sd-text-danger,.sd-text-danger>p{color:var(--sd-color-danger) !important}a.sd-text-danger:focus,a.sd-text-danger:hover{color:var(--sd-color-danger-highlight) !important}.sd-text-light,.sd-text-light>p{color:var(--sd-color-light) !important}a.sd-text-light:focus,a.sd-text-light:hover{color:var(--sd-color-light-highlight) !important}.sd-text-muted,.sd-text-muted>p{color:var(--sd-color-muted) !important}a.sd-text-muted:focus,a.sd-text-muted:hover{color:var(--sd-color-muted-highlight) !important}.sd-text-dark,.sd-text-dark>p{color:var(--sd-color-dark) !important}a.sd-text-dark:focus,a.sd-text-dark:hover{color:var(--sd-color-dark-highlight) !important}.sd-text-black,.sd-text-black>p{color:var(--sd-color-black) !important}a.sd-text-black:focus,a.sd-text-black:hover{color:var(--sd-color-black-highlight) !important}.sd-text-white,.sd-text-white>p{color:var(--sd-color-white) !important}a.sd-text-white:focus,a.sd-text-white:hover{color:var(--sd-color-white-highlight) !important}.sd-outline-primary{border-color:var(--sd-color-primary) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-primary:focus,a.sd-outline-primary:hover{border-color:var(--sd-color-primary-highlight) !important}.sd-outline-secondary{border-color:var(--sd-color-secondary) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-secondary:focus,a.sd-outline-secondary:hover{border-color:var(--sd-color-secondary-highlight) !important}.sd-outline-success{border-color:var(--sd-color-success) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-success:focus,a.sd-outline-success:hover{border-color:var(--sd-color-success-highlight) !important}.sd-outline-info{border-color:var(--sd-color-info) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-info:focus,a.sd-outline-info:hover{border-color:var(--sd-color-info-highlight) !important}.sd-outline-warning{border-color:var(--sd-color-warning) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-warning:focus,a.sd-outline-warning:hover{border-color:var(--sd-color-warning-highlight) !important}.sd-outline-danger{border-color:var(--sd-color-danger) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-danger:focus,a.sd-outline-danger:hover{border-color:var(--sd-color-danger-highlight) !important}.sd-outline-light{border-color:var(--sd-color-light) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-light:focus,a.sd-outline-light:hover{border-color:var(--sd-color-light-highlight) !important}.sd-outline-muted{border-color:var(--sd-color-muted) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-muted:focus,a.sd-outline-muted:hover{border-color:var(--sd-color-muted-highlight) !important}.sd-outline-dark{border-color:var(--sd-color-dark) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-dark:focus,a.sd-outline-dark:hover{border-color:var(--sd-color-dark-highlight) !important}.sd-outline-black{border-color:var(--sd-color-black) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-black:focus,a.sd-outline-black:hover{border-color:var(--sd-color-black-highlight) !important}.sd-outline-white{border-color:var(--sd-color-white) !important;border-style:solid !important;border-width:1px !important}a.sd-outline-white:focus,a.sd-outline-white:hover{border-color:var(--sd-color-white-highlight) !important}.sd-bg-transparent{background-color:transparent !important}.sd-outline-transparent{border-color:transparent !important}.sd-text-transparent{color:transparent !important}.sd-p-0{padding:0 !important}.sd-pt-0,.sd-py-0{padding-top:0 !important}.sd-pr-0,.sd-px-0{padding-right:0 !important}.sd-pb-0,.sd-py-0{padding-bottom:0 !important}.sd-pl-0,.sd-px-0{padding-left:0 !important}.sd-p-1{padding:.25rem 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0;position:relative}.sd-tab-set>input{opacity:0;position:absolute}.sd-tab-set>input:checked+label{border-color:var(--sd-color-tabs-underline-active);color:var(--sd-color-tabs-label-active)}.sd-tab-set>input:checked+label+.sd-tab-content{display:block}.sd-tab-set>input:not(:checked)+label:hover{color:var(--sd-color-tabs-label-hover);border-color:var(--sd-color-tabs-underline-hover)}.sd-tab-set>input:focus+label{outline-style:auto}.sd-tab-set>input:not(.focus-visible)+label{outline:none;-webkit-tap-highlight-color:transparent}.sd-tab-set>label{border-bottom:.125rem solid transparent;margin-bottom:0;color:var(--sd-color-tabs-label-inactive);border-color:var(--sd-color-tabs-underline-inactive);cursor:pointer;font-size:var(--sd-fontsize-tabs-label);font-weight:700;padding:1em 1.25em .5em;transition:color 250ms;width:auto;z-index:1}html .sd-tab-set>label:hover{color:var(--sd-color-tabs-label-active)}.sd-col>.sd-tab-set{width:100%}.sd-tab-content{box-shadow:0 -0.0625rem var(--sd-color-tabs-overline),0 .0625rem var(--sd-color-tabs-underline);display:none;order:99;padding-bottom:.75rem;padding-top:.75rem;width:100%}.sd-tab-content>:first-child{margin-top:0 !important}.sd-tab-content>:last-child{margin-bottom:0 !important}.sd-tab-content>.sd-tab-set{margin:0}.sd-sphinx-override,.sd-sphinx-override *{-moz-box-sizing:border-box;-webkit-box-sizing:border-box;box-sizing:border-box}.sd-sphinx-override p{margin-top:0}:root{--sd-color-primary: #0071bc;--sd-color-secondary: #6c757d;--sd-color-success: #28a745;--sd-color-info: #17a2b8;--sd-color-warning: #f0b37e;--sd-color-danger: #dc3545;--sd-color-light: #f8f9fa;--sd-color-muted: #6c757d;--sd-color-dark: #212529;--sd-color-black: black;--sd-color-white: white;--sd-color-primary-highlight: #0060a0;--sd-color-secondary-highlight: #5c636a;--sd-color-success-highlight: #228e3b;--sd-color-info-highlight: #148a9c;--sd-color-warning-highlight: #cc986b;--sd-color-danger-highlight: #bb2d3b;--sd-color-light-highlight: 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0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem;--sd-fontsize-dropdown: inherit;--sd-fontsize-dropdown-title: 1rem;--sd-fontweight-dropdown-title: 700}
diff --git a/_static/basic.css b/_static/basic.css
new file mode 100644
index 0000000000..f316efcb47
--- /dev/null
+++ b/_static/basic.css
@@ -0,0 +1,925 @@
+/*
+ * basic.css
+ * ~~~~~~~~~
+ *
+ * Sphinx stylesheet -- basic theme.
+ *
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+    clear: both;
+}
+
+div.section::after {
+    display: block;
+    content: '';
+    clear: left;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+    width: 100%;
+    font-size: 90%;
+}
+
+div.related h3 {
+    display: none;
+}
+
+div.related ul {
+    margin: 0;
+    padding: 0 0 0 10px;
+    list-style: none;
+}
+
+div.related li {
+    display: inline;
+}
+
+div.related li.right {
+    float: right;
+    margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+    padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+    float: left;
+    width: 230px;
+    margin-left: -100%;
+    font-size: 90%;
+    word-wrap: break-word;
+    overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+    list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+    margin-left: 20px;
+    list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+    margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+    border: 1px solid #98dbcc;
+    font-family: sans-serif;
+    font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+    overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+    float: left;
+    width: 80%;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+    float: left;
+    width: 20%;
+    border-left: none;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+
+img {
+    border: 0;
+    max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+    margin: 10px 0 0 20px;
+    padding: 0;
+}
+
+ul.search li {
+    padding: 5px 0 5px 20px;
+    background-image: url(file.png);
+    background-repeat: no-repeat;
+    background-position: 0 7px;
+}
+
+ul.search li a {
+    font-weight: bold;
+}
+
+ul.search li p.context {
+    color: #888;
+    margin: 2px 0 0 30px;
+    text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+    font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+    width: 90%;
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.contentstable p.biglink {
+    line-height: 150%;
+}
+
+a.biglink {
+    font-size: 1.3em;
+}
+
+span.linkdescr {
+    font-style: italic;
+    padding-top: 5px;
+    font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+    width: 100%;
+}
+
+table.indextable td {
+    text-align: left;
+    vertical-align: top;
+}
+
+table.indextable ul {
+    margin-top: 0;
+    margin-bottom: 0;
+    list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+    padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+    height: 10px;
+}
+
+table.indextable tr.cap {
+    margin-top: 10px;
+    background-color: #f2f2f2;
+}
+
+img.toggler {
+    margin-right: 3px;
+    margin-top: 3px;
+    cursor: pointer;
+}
+
+div.modindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+    padding: 2px;
+    border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+    min-width: 360px;
+    max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+    -moz-hyphens: auto;
+    -ms-hyphens: auto;
+    -webkit-hyphens: auto;
+    hyphens: auto;
+}
+
+a.headerlink {
+    visibility: hidden;
+}
+
+a:visited {
+    color: #551A8B;
+}
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+    visibility: visible;
+}
+
+div.body p.caption {
+    text-align: inherit;
+}
+
+div.body td {
+    text-align: left;
+}
+
+.first {
+    margin-top: 0 !important;
+}
+
+p.rubric {
+    margin-top: 30px;
+    font-weight: bold;
+}
+
+img.align-left, figure.align-left, .figure.align-left, object.align-left {
+    clear: left;
+    float: left;
+    margin-right: 1em;
+}
+
+img.align-right, figure.align-right, .figure.align-right, object.align-right {
+    clear: right;
+    float: right;
+    margin-left: 1em;
+}
+
+img.align-center, figure.align-center, .figure.align-center, object.align-center {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+img.align-default, figure.align-default, .figure.align-default {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.align-left {
+    text-align: left;
+}
+
+.align-center {
+    text-align: center;
+}
+
+.align-default {
+    text-align: center;
+}
+
+.align-right {
+    text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar,
+aside.sidebar {
+    margin: 0 0 0.5em 1em;
+    border: 1px solid #ddb;
+    padding: 7px;
+    background-color: #ffe;
+    width: 40%;
+    float: right;
+    clear: right;
+    overflow-x: auto;
+}
+
+p.sidebar-title {
+    font-weight: bold;
+}
+
+nav.contents,
+aside.topic,
+div.admonition, div.topic, blockquote {
+    clear: left;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+
+nav.contents,
+aside.topic,
+div.topic {
+    border: 1px solid #ccc;
+    padding: 7px;
+    margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+    font-size: 1.1em;
+    font-weight: bold;
+    margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    padding: 7px;
+}
+
+div.admonition dt {
+    font-weight: bold;
+}
+
+p.admonition-title {
+    margin: 0px 10px 5px 0px;
+    font-weight: bold;
+}
+
+div.body p.centered {
+    text-align: center;
+    margin-top: 25px;
+}
+
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+aside.sidebar > :last-child,
+nav.contents > :last-child,
+aside.topic > :last-child,
+div.topic > :last-child,
+div.admonition > :last-child {
+    margin-bottom: 0;
+}
+
+div.sidebar::after,
+aside.sidebar::after,
+nav.contents::after,
+aside.topic::after,
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+    display: block;
+    content: '';
+    clear: both;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    border: 0;
+    border-collapse: collapse;
+}
+
+table.align-center {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.align-default {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table caption span.caption-number {
+    font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
+table.docutils td, table.docutils th {
+    padding: 1px 8px 1px 5px;
+    border-top: 0;
+    border-left: 0;
+    border-right: 0;
+    border-bottom: 1px solid #aaa;
+}
+
+th {
+    text-align: left;
+    padding-right: 5px;
+}
+
+table.citation {
+    border-left: solid 1px gray;
+    margin-left: 1px;
+}
+
+table.citation td {
+    border-bottom: none;
+}
+
+th > :first-child,
+td > :first-child {
+    margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+    margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure, figure {
+    margin: 0.5em;
+    padding: 0.5em;
+}
+
+div.figure p.caption, figcaption {
+    padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number,
+figcaption span.caption-number {
+    font-style: italic;
+}
+
+div.figure p.caption span.caption-text,
+figcaption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+    border: 0 !important;
+}
+
+.field-list ul {
+    margin: 0;
+    padding-left: 1em;
+}
+
+.field-list p {
+    margin: 0;
+}
+
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+    margin: 1em 0;
+}
+
+table.hlist td {
+    vertical-align: top;
+}
+
+/* -- object description styles --------------------------------------------- */
+
+.sig {
+	font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+}
+
+.sig-name, code.descname {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+.sig-name {
+	font-size: 1.1em;
+}
+
+code.descname {
+    font-size: 1.2em;
+}
+
+.sig-prename, code.descclassname {
+    background-color: transparent;
+}
+
+.optional {
+    font-size: 1.3em;
+}
+
+.sig-paren {
+    font-size: larger;
+}
+
+.sig-param.n {
+	font-style: italic;
+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+	font-family: unset;
+}
+
+.sig.c   .k, .sig.c   .kt,
+.sig.cpp .k, .sig.cpp .kt {
+	color: #0033B3;
+}
+
+.sig.c   .m,
+.sig.cpp .m {
+	color: #1750EB;
+}
+
+.sig.c   .s, .sig.c   .sc,
+.sig.cpp .s, .sig.cpp .sc {
+	color: #067D17;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+    list-style: decimal;
+}
+
+ol.loweralpha {
+    list-style: lower-alpha;
+}
+
+ol.upperalpha {
+    list-style: upper-alpha;
+}
+
+ol.lowerroman {
+    list-style: lower-roman;
+}
+
+ol.upperroman {
+    list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+    margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+    margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+    margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+    margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+    margin-bottom: 0;
+}
+
+aside.footnote > span,
+div.citation > span {
+    float: left;
+}
+aside.footnote > span:last-of-type,
+div.citation > span:last-of-type {
+  padding-right: 0.5em;
+}
+aside.footnote > p {
+  margin-left: 2em;
+}
+div.citation > p {
+  margin-left: 4em;
+}
+aside.footnote > p:last-of-type,
+div.citation > p:last-of-type {
+    margin-bottom: 0em;
+}
+aside.footnote > p:last-of-type:after,
+div.citation > p:last-of-type:after {
+    content: "";
+    clear: both;
+}
+
+dl.field-list {
+    display: grid;
+    grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+    font-weight: bold;
+    word-break: break-word;
+    padding-left: 0.5em;
+    padding-right: 5px;
+}
+
+dl.field-list > dd {
+    padding-left: 0.5em;
+    margin-top: 0em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
+dl {
+    margin-bottom: 15px;
+}
+
+dd > :first-child {
+    margin-top: 0px;
+}
+
+dd ul, dd table {
+    margin-bottom: 10px;
+}
+
+dd {
+    margin-top: 3px;
+    margin-bottom: 10px;
+    margin-left: 30px;
+}
+
+.sig dd {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+.sig dl {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+    margin-bottom: 0;
+}
+
+dt:target, span.highlighted {
+    background-color: #fbe54e;
+}
+
+rect.highlighted {
+    fill: #fbe54e;
+}
+
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
+}
+
+.versionmodified {
+    font-style: italic;
+}
+
+.system-message {
+    background-color: #fda;
+    padding: 5px;
+    border: 3px solid red;
+}
+
+.footnote:target  {
+    background-color: #ffa;
+}
+
+.line-block {
+    display: block;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+
+.line-block .line-block {
+    margin-top: 0;
+    margin-bottom: 0;
+    margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+    font-family: sans-serif;
+}
+
+.accelerator {
+    text-decoration: underline;
+}
+
+.classifier {
+    font-style: oblique;
+}
+
+.classifier:before {
+    font-style: normal;
+    margin: 0 0.5em;
+    content: ":";
+    display: inline-block;
+}
+
+abbr, acronym {
+    border-bottom: dotted 1px;
+    cursor: help;
+}
+
+.translated {
+    background-color: rgba(207, 255, 207, 0.2)
+}
+
+.untranslated {
+    background-color: rgba(255, 207, 207, 0.2)
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+    overflow: auto;
+    overflow-y: hidden;  /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+    clear: both;
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+    white-space: nowrap;
+}
+
+div[class*="highlight-"] {
+    margin: 1em 0;
+}
+
+td.linenos pre {
+    border: 0;
+    background-color: transparent;
+    color: #aaa;
+}
+
+table.highlighttable {
+    display: block;
+}
+
+table.highlighttable tbody {
+    display: block;
+}
+
+table.highlighttable tr {
+    display: flex;
+}
+
+table.highlighttable td {
+    margin: 0;
+    padding: 0;
+}
+
+table.highlighttable td.linenos {
+    padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+    flex: 1;
+    overflow: hidden;
+}
+
+.highlight .hll {
+    display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+    margin: 0;
+}
+
+div.code-block-caption + div {
+    margin-top: 0;
+}
+
+div.code-block-caption {
+    margin-top: 1em;
+    padding: 2px 5px;
+    font-size: small;
+}
+
+div.code-block-caption code {
+    background-color: transparent;
+}
+
+table.highlighttable td.linenos,
+span.linenos,
+div.highlight span.gp {  /* gp: Generic.Prompt */
+  user-select: none;
+  -webkit-user-select: text; /* Safari fallback only */
+  -webkit-user-select: none; /* Chrome/Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none; /* IE10+ */
+}
+
+div.code-block-caption span.caption-number {
+    padding: 0.1em 0.3em;
+    font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+    margin: 1em 0;
+}
+
+code.xref, a code {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+    background-color: transparent;
+}
+
+.viewcode-link {
+    float: right;
+}
+
+.viewcode-back {
+    float: right;
+    font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+    margin: -1px -10px;
+    padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+    vertical-align: middle;
+}
+
+div.body div.math p {
+    text-align: center;
+}
+
+span.eqno {
+    float: right;
+}
+
+span.eqno a.headerlink {
+    position: absolute;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+    div.document,
+    div.documentwrapper,
+    div.bodywrapper {
+        margin: 0 !important;
+        width: 100%;
+    }
+
+    div.sphinxsidebar,
+    div.related,
+    div.footer,
+    #top-link {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/_static/check-solid.svg b/_static/check-solid.svg
new file mode 100644
index 0000000000..92fad4b5c0
--- /dev/null
+++ b/_static/check-solid.svg
@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-check" width="44" height="44" viewBox="0 0 24 24" stroke-width="2" stroke="#22863a" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <path d="M5 12l5 5l10 -10" />
+</svg>
diff --git a/_static/clipboard.min.js b/_static/clipboard.min.js
new file mode 100644
index 0000000000..54b3c46381
--- /dev/null
+++ b/_static/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.8
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},i="";return"string"==typeof t?(e=t,n="rtl"===document.documentElement.getAttribute("dir"),(o=document.createElement("textarea")).style.fontSize="12pt",o.style.border="0",o.style.padding="0",o.style.margin="0",o.style.position="absolute",o.style[n?"right":"left"]="-9999px",n=window.pageYOffset||document.documentElement.scrollTop,o.style.top="".concat(n,"px"),o.setAttribute("readonly",""),o.value=e,o=o,r.container.appendChild(o),i=c()(o),a("copy"),o.remove()):(i=c()(t),a("copy")),i};function r(t){return(r="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==r(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. Please use "readonly" instead of "disabled" attribute');if("cut"===n&&(e.hasAttribute("readonly")||e.hasAttribute("disabled")))throw new Error('Invalid "target" attribute. You can\'t cut text from elements with "readonly" or "disabled" attributes')}return t?l(t,{container:o}):e?"cut"===n?f(e):l(e,{container:o}):void 0};function d(t){return(d="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}function p(t,e){for(var n=0;n<e.length;n++){var o=e[n];o.enumerable=o.enumerable||!1,o.configurable=!0,"value"in o&&(o.writable=!0),Object.defineProperty(t,o.key,o)}}function y(t,e){return(y=Object.setPrototypeOf||function(t,e){return t.__proto__=e,t})(t,e)}function h(n){var o=function(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Date.prototype.toString.call(Reflect.construct(Date,[],function(){})),!0}catch(t){return!1}}();return function(){var t,e=m(n);return t=o?(t=m(this).constructor,Reflect.construct(e,arguments,t)):e.apply(this,arguments),e=this,!(t=t)||"object"!==d(t)&&"function"!=typeof t?function(t){if(void 0!==t)return t;throw new ReferenceError("this hasn't been initialised - super() hasn't been called")}(e):t}}function m(t){return(m=Object.setPrototypeOf?Object.getPrototypeOf:function(t){return t.__proto__||Object.getPrototypeOf(t)})(t)}function v(t,e){t="data-clipboard-".concat(t);if(e.hasAttribute(t))return e.getAttribute(t)}var o=function(){!function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Super expression must either be null or a function");t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,writable:!0,configurable:!0}}),e&&y(t,e)}(r,i());var t,e,n,o=h(r);function r(t,e){var n;return function(t){if(!(t instanceof r))throw new TypeError("Cannot call a class as a function")}(this),(n=o.call(this)).resolveOptions(e),n.listenClick(t),n}return t=r,n=[{key:"copy",value:function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body};return l(t,e)}},{key:"cut",value:function(t){return f(t)}},{key:"isSupported",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:["copy","cut"],t="string"==typeof t?[t]:t,e=!!document.queryCommandSupported;return t.forEach(function(t){e=e&&!!document.queryCommandSupported(t)}),e}}],(e=[{key:"resolveOptions",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{};this.action="function"==typeof t.action?t.action:this.defaultAction,this.target="function"==typeof t.target?t.target:this.defaultTarget,this.text="function"==typeof t.text?t.text:this.defaultText,this.container="object"===d(t.container)?t.container:document.body}},{key:"listenClick",value:function(t){var e=this;this.listener=u()(t,"click",function(t){return e.onClick(t)})}},{key:"onClick",value:function(t){var e=t.delegateTarget||t.currentTarget,t=s({action:this.action(e),container:this.container,target:this.target(e),text:this.text(e)});this.emit(t?"success":"error",{action:this.action,text:t,trigger:e,clearSelection:function(){e&&e.focus(),document.activeElement.blur(),window.getSelection().removeAllRanges()}})}},{key:"defaultAction",value:function(t){return v("action",t)}},{key:"defaultTarget",value:function(t){t=v("target",t);if(t)return document.querySelector(t)}},{key:"defaultText",value:function(t){return v("text",t)}},{key:"destroy",value:function(){this.listener.destroy()}}])&&p(t.prototype,e),n&&p(t,n),r}()},828:function(t){var e;"undefined"==typeof Element||Element.prototype.matches||((e=Element.prototype).matches=e.matchesSelector||e.mozMatchesSelector||e.msMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector),t.exports=function(t,e){for(;t&&9!==t.nodeType;){if("function"==typeof t.matches&&t.matches(e))return t;t=t.parentNode}}},438:function(t,e,n){var u=n(828);function i(t,e,n,o,r){var i=function(e,n,t,o){return function(t){t.delegateTarget=u(t.target,n),t.delegateTarget&&o.call(e,t)}}.apply(this,arguments);return t.addEventListener(n,i,r),{destroy:function(){t.removeEventListener(n,i,r)}}}t.exports=function(t,e,n,o,r){return"function"==typeof t.addEventListener?i.apply(null,arguments):"function"==typeof n?i.bind(null,document).apply(null,arguments):("string"==typeof t&&(t=document.querySelectorAll(t)),Array.prototype.map.call(t,function(t){return i(t,e,n,o,r)}))}},879:function(t,n){n.node=function(t){return void 0!==t&&t instanceof HTMLElement&&1===t.nodeType},n.nodeList=function(t){var e=Object.prototype.toString.call(t);return void 0!==t&&("[object NodeList]"===e||"[object HTMLCollection]"===e)&&"length"in t&&(0===t.length||n.node(t[0]))},n.string=function(t){return"string"==typeof t||t instanceof String},n.fn=function(t){return"[object Function]"===Object.prototype.toString.call(t)}},370:function(t,e,n){var f=n(879),l=n(438);t.exports=function(t,e,n){if(!t&&!e&&!n)throw new Error("Missing required arguments");if(!f.string(e))throw new TypeError("Second argument must be a String");if(!f.fn(n))throw new TypeError("Third argument must be a Function");if(f.node(t))return c=e,a=n,(u=t).addEventListener(c,a),{destroy:function(){u.removeEventListener(c,a)}};if(f.nodeList(t))return o=t,r=e,i=n,Array.prototype.forEach.call(o,function(t){t.addEventListener(r,i)}),{destroy:function(){Array.prototype.forEach.call(o,function(t){t.removeEventListener(r,i)})}};if(f.string(t))return t=t,e=e,n=n,l(document.body,t,e,n);throw new TypeError("First argument must be a String, HTMLElement, HTMLCollection, or NodeList");var o,r,i,u,c,a}},817:function(t){t.exports=function(t){var e,n="SELECT"===t.nodeName?(t.focus(),t.value):"INPUT"===t.nodeName||"TEXTAREA"===t.nodeName?((e=t.hasAttribute("readonly"))||t.setAttribute("readonly",""),t.select(),t.setSelectionRange(0,t.value.length),e||t.removeAttribute("readonly"),t.value):(t.hasAttribute("contenteditable")&&t.focus(),n=window.getSelection(),(e=document.createRange()).selectNodeContents(t),n.removeAllRanges(),n.addRange(e),n.toString());return n}},279:function(t){function e(){}e.prototype={on:function(t,e,n){var o=this.e||(this.e={});return(o[t]||(o[t]=[])).push({fn:e,ctx:n}),this},once:function(t,e,n){var o=this;function r(){o.off(t,r),e.apply(n,arguments)}return r._=e,this.on(t,r,n)},emit:function(t){for(var e=[].slice.call(arguments,1),n=((this.e||(this.e={}))[t]||[]).slice(),o=0,r=n.length;o<r;o++)n[o].fn.apply(n[o].ctx,e);return this},off:function(t,e){var n=this.e||(this.e={}),o=n[t],r=[];if(o&&e)for(var i=0,u=o.length;i<u;i++)o[i].fn!==e&&o[i].fn._!==e&&r.push(o[i]);return r.length?n[t]=r:delete n[t],this}},t.exports=e,t.exports.TinyEmitter=e}},r={},o.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return o.d(e,{a:e}),e},o.d=function(t,e){for(var n in e)o.o(e,n)&&!o.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:e[n]})},o.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},o(686).default;function o(t){if(r[t])return r[t].exports;var e=r[t]={exports:{}};return n[t](e,e.exports,o),e.exports}var n,r});
\ No newline at end of file
diff --git a/_static/copy-button.svg b/_static/copy-button.svg
new file mode 100644
index 0000000000..9c074dae52
--- /dev/null
+++ b/_static/copy-button.svg
@@ -0,0 +1,5 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-copy" width="44" height="44" viewBox="0 0 24 24" stroke-width="1.5" stroke="#000000" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <rect x="8" y="8" width="12" height="12" rx="2" />
+  <path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2" />
+</svg>
diff --git a/_static/copybutton.css b/_static/copybutton.css
new file mode 100644
index 0000000000..f1916ec7d1
--- /dev/null
+++ b/_static/copybutton.css
@@ -0,0 +1,94 @@
+/* Copy buttons */
+button.copybtn {
+    position: absolute;
+    display: flex;
+    top: .3em;
+    right: .3em;
+    width: 1.7em;
+    height: 1.7em;
+	opacity: 0;
+    transition: opacity 0.3s, border .3s, background-color .3s;
+    user-select: none;
+    padding: 0;
+    border: none;
+    outline: none;
+    border-radius: 0.4em;
+    /* The colors that GitHub uses */
+    border: #1b1f2426 1px solid;
+    background-color: #f6f8fa;
+    color: #57606a;
+}
+
+button.copybtn.success {
+    border-color: #22863a;
+    color: #22863a;
+}
+
+button.copybtn svg {
+    stroke: currentColor;
+    width: 1.5em;
+    height: 1.5em;
+    padding: 0.1em;
+}
+
+div.highlight  {
+    position: relative;
+}
+
+/* Show the copybutton */
+.highlight:hover button.copybtn, button.copybtn.success {
+	opacity: 1;
+}
+
+.highlight button.copybtn:hover {
+    background-color: rgb(235, 235, 235);
+}
+
+.highlight button.copybtn:active {
+    background-color: rgb(187, 187, 187);
+}
+
+/**
+ * A minimal CSS-only tooltip copied from:
+ *   https://codepen.io/mildrenben/pen/rVBrpK
+ *
+ * To use, write HTML like the following:
+ *
+ * <p class="o-tooltip--left" data-tooltip="Hey">Short</p>
+ */
+ .o-tooltip--left {
+  position: relative;
+ }
+
+ .o-tooltip--left:after {
+    opacity: 0;
+    visibility: hidden;
+    position: absolute;
+    content: attr(data-tooltip);
+    padding: .2em;
+    font-size: .8em;
+    left: -.2em;
+    background: grey;
+    color: white;
+    white-space: nowrap;
+    z-index: 2;
+    border-radius: 2px;
+    transform: translateX(-102%) translateY(0);
+    transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1);
+}
+
+.o-tooltip--left:hover:after {
+    display: block;
+    opacity: 1;
+    visibility: visible;
+    transform: translateX(-100%) translateY(0);
+    transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1);
+    transition-delay: .5s;
+}
+
+/* By default the copy button shouldn't show up when printing a page */
+@media print {
+    button.copybtn {
+        display: none;
+    }
+}
diff --git a/_static/copybutton.js b/_static/copybutton.js
new file mode 100644
index 0000000000..2ea7ff3e21
--- /dev/null
+++ b/_static/copybutton.js
@@ -0,0 +1,248 @@
+// Localization support
+const messages = {
+  'en': {
+    'copy': 'Copy',
+    'copy_to_clipboard': 'Copy to clipboard',
+    'copy_success': 'Copied!',
+    'copy_failure': 'Failed to copy',
+  },
+  'es' : {
+    'copy': 'Copiar',
+    'copy_to_clipboard': 'Copiar al portapapeles',
+    'copy_success': '¡Copiado!',
+    'copy_failure': 'Error al copiar',
+  },
+  'de' : {
+    'copy': 'Kopieren',
+    'copy_to_clipboard': 'In die Zwischenablage kopieren',
+    'copy_success': 'Kopiert!',
+    'copy_failure': 'Fehler beim Kopieren',
+  },
+  'fr' : {
+    'copy': 'Copier',
+    'copy_to_clipboard': 'Copier dans le presse-papier',
+    'copy_success': 'Copié !',
+    'copy_failure': 'Échec de la copie',
+  },
+  'ru': {
+    'copy': 'Скопировать',
+    'copy_to_clipboard': 'Скопировать в буфер',
+    'copy_success': 'Скопировано!',
+    'copy_failure': 'Не удалось скопировать',
+  },
+  'zh-CN': {
+    'copy': '复制',
+    'copy_to_clipboard': '复制到剪贴板',
+    'copy_success': '复制成功!',
+    'copy_failure': '复制失败',
+  },
+  'it' : {
+    'copy': 'Copiare',
+    'copy_to_clipboard': 'Copiato negli appunti',
+    'copy_success': 'Copiato!',
+    'copy_failure': 'Errore durante la copia',
+  }
+}
+
+let locale = 'en'
+if( document.documentElement.lang !== undefined
+    && messages[document.documentElement.lang] !== undefined ) {
+  locale = document.documentElement.lang
+}
+
+let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT;
+if (doc_url_root == '#') {
+    doc_url_root = '';
+}
+
+/**
+ * SVG files for our copy buttons
+ */
+let iconCheck = `<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-check" width="44" height="44" viewBox="0 0 24 24" stroke-width="2" stroke="#22863a" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <title>${messages[locale]['copy_success']}</title>
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <path d="M5 12l5 5l10 -10" />
+</svg>`
+
+// If the user specified their own SVG use that, otherwise use the default
+let iconCopy = ``;
+if (!iconCopy) {
+  iconCopy = `<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-copy" width="44" height="44" viewBox="0 0 24 24" stroke-width="1.5" stroke="#000000" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <title>${messages[locale]['copy_to_clipboard']}</title>
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <rect x="8" y="8" width="12" height="12" rx="2" />
+  <path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2" />
+</svg>`
+}
+
+/**
+ * Set up copy/paste for code blocks
+ */
+
+const runWhenDOMLoaded = cb => {
+  if (document.readyState != 'loading') {
+    cb()
+  } else if (document.addEventListener) {
+    document.addEventListener('DOMContentLoaded', cb)
+  } else {
+    document.attachEvent('onreadystatechange', function() {
+      if (document.readyState == 'complete') cb()
+    })
+  }
+}
+
+const codeCellId = index => `codecell${index}`
+
+// Clears selected text since ClipboardJS will select the text when copying
+const clearSelection = () => {
+  if (window.getSelection) {
+    window.getSelection().removeAllRanges()
+  } else if (document.selection) {
+    document.selection.empty()
+  }
+}
+
+// Changes tooltip text for a moment, then changes it back
+// We want the timeout of our `success` class to be a bit shorter than the
+// tooltip and icon change, so that we can hide the icon before changing back.
+var timeoutIcon = 2000;
+var timeoutSuccessClass = 1500;
+
+const temporarilyChangeTooltip = (el, oldText, newText) => {
+  el.setAttribute('data-tooltip', newText)
+  el.classList.add('success')
+  // Remove success a little bit sooner than we change the tooltip
+  // So that we can use CSS to hide the copybutton first
+  setTimeout(() => el.classList.remove('success'), timeoutSuccessClass)
+  setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon)
+}
+
+// Changes the copy button icon for two seconds, then changes it back
+const temporarilyChangeIcon = (el) => {
+  el.innerHTML = iconCheck;
+  setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon)
+}
+
+const addCopyButtonToCodeCells = () => {
+  // If ClipboardJS hasn't loaded, wait a bit and try again. This
+  // happens because we load ClipboardJS asynchronously.
+  if (window.ClipboardJS === undefined) {
+    setTimeout(addCopyButtonToCodeCells, 250)
+    return
+  }
+
+  // Add copybuttons to all of our code cells
+  const COPYBUTTON_SELECTOR = 'div.highlight pre';
+  const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR)
+  codeCells.forEach((codeCell, index) => {
+    const id = codeCellId(index)
+    codeCell.setAttribute('id', id)
+
+    const clipboardButton = id =>
+    `<button class="copybtn o-tooltip--left" data-tooltip="${messages[locale]['copy']}" data-clipboard-target="#${id}">
+      ${iconCopy}
+    </button>`
+    codeCell.insertAdjacentHTML('afterend', clipboardButton(id))
+  })
+
+function escapeRegExp(string) {
+    return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
+}
+
+/**
+ * Removes excluded text from a Node.
+ *
+ * @param {Node} target Node to filter.
+ * @param {string} exclude CSS selector of nodes to exclude.
+ * @returns {DOMString} Text from `target` with text removed.
+ */
+function filterText(target, exclude) {
+    const clone = target.cloneNode(true);  // clone as to not modify the live DOM
+    if (exclude) {
+        // remove excluded nodes
+        clone.querySelectorAll(exclude).forEach(node => node.remove());
+    }
+    return clone.innerText;
+}
+
+// Callback when a copy button is clicked. Will be passed the node that was clicked
+// should then grab the text and replace pieces of text that shouldn't be used in output
+function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
+    var regexp;
+    var match;
+
+    // Do we check for line continuation characters and "HERE-documents"?
+    var useLineCont = !!lineContinuationChar
+    var useHereDoc = !!hereDocDelim
+
+    // create regexp to capture prompt and remaining line
+    if (isRegexp) {
+        regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)')
+    } else {
+        regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)')
+    }
+
+    const outputLines = [];
+    var promptFound = false;
+    var gotLineCont = false;
+    var gotHereDoc = false;
+    const lineGotPrompt = [];
+    for (const line of textContent.split('\n')) {
+        match = line.match(regexp)
+        if (match || gotLineCont || gotHereDoc) {
+            promptFound = regexp.test(line)
+            lineGotPrompt.push(promptFound)
+            if (removePrompts && promptFound) {
+                outputLines.push(match[2])
+            } else {
+                outputLines.push(line)
+            }
+            gotLineCont = line.endsWith(lineContinuationChar) & useLineCont
+            if (line.includes(hereDocDelim) & useHereDoc)
+                gotHereDoc = !gotHereDoc
+        } else if (!onlyCopyPromptLines) {
+            outputLines.push(line)
+        } else if (copyEmptyLines && line.trim() === '') {
+            outputLines.push(line)
+        }
+    }
+
+    // If no lines with the prompt were found then just use original lines
+    if (lineGotPrompt.some(v => v === true)) {
+        textContent = outputLines.join('\n');
+    }
+
+    // Remove a trailing newline to avoid auto-running when pasting
+    if (textContent.endsWith("\n")) {
+        textContent = textContent.slice(0, -1)
+    }
+    return textContent
+}
+
+
+var copyTargetText = (trigger) => {
+  var target = document.querySelector(trigger.attributes['data-clipboard-target'].value);
+
+  // get filtered text
+  let exclude = '.linenos';
+
+  let text = filterText(target, exclude);
+  return formatCopyText(text, '', false, true, true, true, '', '')
+}
+
+  // Initialize with a callback so we can modify the text before copy
+  const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText})
+
+  // Update UI with error/success messages
+  clipboard.on('success', event => {
+    clearSelection()
+    temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success'])
+    temporarilyChangeIcon(event.trigger)
+  })
+
+  clipboard.on('error', event => {
+    temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure'])
+  })
+}
+
+runWhenDOMLoaded(addCopyButtonToCodeCells)
\ No newline at end of file
diff --git a/_static/copybutton_funcs.js b/_static/copybutton_funcs.js
new file mode 100644
index 0000000000..dbe1aaad79
--- /dev/null
+++ b/_static/copybutton_funcs.js
@@ -0,0 +1,73 @@
+function escapeRegExp(string) {
+    return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
+}
+
+/**
+ * Removes excluded text from a Node.
+ *
+ * @param {Node} target Node to filter.
+ * @param {string} exclude CSS selector of nodes to exclude.
+ * @returns {DOMString} Text from `target` with text removed.
+ */
+export function filterText(target, exclude) {
+    const clone = target.cloneNode(true);  // clone as to not modify the live DOM
+    if (exclude) {
+        // remove excluded nodes
+        clone.querySelectorAll(exclude).forEach(node => node.remove());
+    }
+    return clone.innerText;
+}
+
+// Callback when a copy button is clicked. Will be passed the node that was clicked
+// should then grab the text and replace pieces of text that shouldn't be used in output
+export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
+    var regexp;
+    var match;
+
+    // Do we check for line continuation characters and "HERE-documents"?
+    var useLineCont = !!lineContinuationChar
+    var useHereDoc = !!hereDocDelim
+
+    // create regexp to capture prompt and remaining line
+    if (isRegexp) {
+        regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)')
+    } else {
+        regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)')
+    }
+
+    const outputLines = [];
+    var promptFound = false;
+    var gotLineCont = false;
+    var gotHereDoc = false;
+    const lineGotPrompt = [];
+    for (const line of textContent.split('\n')) {
+        match = line.match(regexp)
+        if (match || gotLineCont || gotHereDoc) {
+            promptFound = regexp.test(line)
+            lineGotPrompt.push(promptFound)
+            if (removePrompts && promptFound) {
+                outputLines.push(match[2])
+            } else {
+                outputLines.push(line)
+            }
+            gotLineCont = line.endsWith(lineContinuationChar) & useLineCont
+            if (line.includes(hereDocDelim) & useHereDoc)
+                gotHereDoc = !gotHereDoc
+        } else if (!onlyCopyPromptLines) {
+            outputLines.push(line)
+        } else if (copyEmptyLines && line.trim() === '') {
+            outputLines.push(line)
+        }
+    }
+
+    // If no lines with the prompt were found then just use original lines
+    if (lineGotPrompt.some(v => v === true)) {
+        textContent = outputLines.join('\n');
+    }
+
+    // Remove a trailing newline to avoid auto-running when pasting
+    if (textContent.endsWith("\n")) {
+        textContent = textContent.slice(0, -1)
+    }
+    return textContent
+}
diff --git a/_static/design-tabs.js b/_static/design-tabs.js
new file mode 100644
index 0000000000..b25bd6a4fa
--- /dev/null
+++ b/_static/design-tabs.js
@@ -0,0 +1,101 @@
+// @ts-check
+
+// Extra JS capability for selected tabs to be synced
+// The selection is stored in local storage so that it persists across page loads.
+
+/**
+ * @type {Record<string, HTMLElement[]>}
+ */
+let sd_id_to_elements = {};
+const storageKeyPrefix = "sphinx-design-tab-id-";
+
+/**
+ * Create a key for a tab element.
+ * @param {HTMLElement} el - The tab element.
+ * @returns {[string, string, string] | null} - The key.
+ *
+ */
+function create_key(el) {
+  let syncId = el.getAttribute("data-sync-id");
+  let syncGroup = el.getAttribute("data-sync-group");
+  if (!syncId || !syncGroup) return null;
+  return [syncGroup, syncId, syncGroup + "--" + syncId];
+}
+
+/**
+ * Initialize the tab selection.
+ *
+ */
+function ready() {
+  // Find all tabs with sync data
+
+  /** @type {string[]} */
+  let groups = [];
+
+  document.querySelectorAll(".sd-tab-label").forEach((label) => {
+    if (label instanceof HTMLElement) {
+      let data = create_key(label);
+      if (data) {
+        let [group, id, key] = data;
+
+        // add click event listener
+        // @ts-ignore
+        label.onclick = onSDLabelClick;
+
+        // store map of key to elements
+        if (!sd_id_to_elements[key]) {
+          sd_id_to_elements[key] = [];
+        }
+        sd_id_to_elements[key].push(label);
+
+        if (groups.indexOf(group) === -1) {
+          groups.push(group);
+          // Check if a specific tab has been selected via URL parameter
+          const tabParam = new URLSearchParams(window.location.search).get(
+            group
+          );
+          if (tabParam) {
+            console.log(
+              "sphinx-design: Selecting tab id for group '" +
+                group +
+                "' from URL parameter: " +
+                tabParam
+            );
+            window.sessionStorage.setItem(storageKeyPrefix + group, tabParam);
+          }
+        }
+
+        // Check is a specific tab has been selected previously
+        let previousId = window.sessionStorage.getItem(
+          storageKeyPrefix + group
+        );
+        if (previousId === id) {
+          // console.log(
+          //   "sphinx-design: Selecting tab from session storage: " + id
+          // );
+          // @ts-ignore
+          label.previousElementSibling.checked = true;
+        }
+      }
+    }
+  });
+}
+
+/**
+ *  Activate other tabs with the same sync id.
+ *
+ * @this {HTMLElement} - The element that was clicked.
+ */
+function onSDLabelClick() {
+  let data = create_key(this);
+  if (!data) return;
+  let [group, id, key] = data;
+  for (const label of sd_id_to_elements[key]) {
+    if (label === this) continue;
+    // @ts-ignore
+    label.previousElementSibling.checked = true;
+  }
+  window.sessionStorage.setItem(storageKeyPrefix + group, id);
+}
+
+document.addEventListener("DOMContentLoaded", ready, false);
diff --git a/_static/doctools.js b/_static/doctools.js
new file mode 100644
index 0000000000..4d67807d17
--- /dev/null
+++ b/_static/doctools.js
@@ -0,0 +1,156 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Base JavaScript utilities for all Sphinx HTML documentation.
+ *
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+  "TEXTAREA",
+  "INPUT",
+  "SELECT",
+  "BUTTON",
+]);
+
+const _ready = (callback) => {
+  if (document.readyState !== "loading") {
+    callback();
+  } else {
+    document.addEventListener("DOMContentLoaded", callback);
+  }
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const Documentation = {
+  init: () => {
+    Documentation.initDomainIndexTable();
+    Documentation.initOnKeyListeners();
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS: {},
+  PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
+  LOCALE: "unknown",
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext: (string) => {
+    const translated = Documentation.TRANSLATIONS[string];
+    switch (typeof translated) {
+      case "undefined":
+        return string; // no translation
+      case "string":
+        return translated; // translation exists
+      default:
+        return translated[0]; // (singular, plural) translation tuple exists
+    }
+  },
+
+  ngettext: (singular, plural, n) => {
+    const translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated !== "undefined")
+      return translated[Documentation.PLURAL_EXPR(n)];
+    return n === 1 ? singular : plural;
+  },
+
+  addTranslations: (catalog) => {
+    Object.assign(Documentation.TRANSLATIONS, catalog.messages);
+    Documentation.PLURAL_EXPR = new Function(
+      "n",
+      `return (${catalog.plural_expr})`
+    );
+    Documentation.LOCALE = catalog.locale;
+  },
+
+  /**
+   * helper function to focus on search bar
+   */
+  focusSearchBar: () => {
+    document.querySelectorAll("input[name=q]")[0]?.focus();
+  },
+
+  /**
+   * Initialise the domain index toggle buttons
+   */
+  initDomainIndexTable: () => {
+    const toggler = (el) => {
+      const idNumber = el.id.substr(7);
+      const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
+      if (el.src.substr(-9) === "minus.png") {
+        el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
+        toggledRows.forEach((el) => (el.style.display = "none"));
+      } else {
+        el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
+        toggledRows.forEach((el) => (el.style.display = ""));
+      }
+    };
+
+    const togglerElements = document.querySelectorAll("img.toggler");
+    togglerElements.forEach((el) =>
+      el.addEventListener("click", (event) => toggler(event.currentTarget))
+    );
+    togglerElements.forEach((el) => (el.style.display = ""));
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
+  },
+
+  initOnKeyListeners: () => {
+    // only install a listener if it is really needed
+    if (
+      !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+      !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
+    )
+      return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.altKey || event.ctrlKey || event.metaKey) return;
+
+      if (!event.shiftKey) {
+        switch (event.key) {
+          case "ArrowLeft":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const prevLink = document.querySelector('link[rel="prev"]');
+            if (prevLink && prevLink.href) {
+              window.location.href = prevLink.href;
+              event.preventDefault();
+            }
+            break;
+          case "ArrowRight":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const nextLink = document.querySelector('link[rel="next"]');
+            if (nextLink && nextLink.href) {
+              window.location.href = nextLink.href;
+              event.preventDefault();
+            }
+            break;
+        }
+      }
+
+      // some keyboard layouts may need Shift to get /
+      switch (event.key) {
+        case "/":
+          if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+          Documentation.focusSearchBar();
+          event.preventDefault();
+      }
+    });
+  },
+};
+
+// quick alias for translations
+const _ = Documentation.gettext;
+
+_ready(Documentation.init);
diff --git a/_static/documentation_options.js b/_static/documentation_options.js
new file mode 100644
index 0000000000..dab586c0d2
--- /dev/null
+++ b/_static/documentation_options.js
@@ -0,0 +1,13 @@
+const DOCUMENTATION_OPTIONS = {
+    VERSION: '',
+    LANGUAGE: 'en',
+    COLLAPSE_INDEX: false,
+    BUILDER: 'html',
+    FILE_SUFFIX: '.html',
+    LINK_SUFFIX: '.html',
+    HAS_SOURCE: true,
+    SOURCELINK_SUFFIX: '',
+    NAVIGATION_WITH_KEYS: false,
+    SHOW_SEARCH_SUMMARY: true,
+    ENABLE_SEARCH_SHORTCUTS: true,
+};
\ No newline at end of file
diff --git a/_static/file.png b/_static/file.png
new file mode 100644
index 0000000000000000000000000000000000000000..a858a410e4faa62ce324d814e4b816fff83a6fb3
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diff --git a/_static/graphviz.css b/_static/graphviz.css
new file mode 100644
index 0000000000..027576e34d
--- /dev/null
+++ b/_static/graphviz.css
@@ -0,0 +1,19 @@
+/*
+ * graphviz.css
+ * ~~~~~~~~~~~~
+ *
+ * Sphinx stylesheet -- graphviz extension.
+ *
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+img.graphviz {
+    border: 0;
+    max-width: 100%;
+}
+
+object.graphviz {
+    max-width: 100%;
+}
diff --git a/_static/images/logo_binder.svg b/_static/images/logo_binder.svg
new file mode 100644
index 0000000000..45fecf7511
--- /dev/null
+++ b/_static/images/logo_binder.svg
@@ -0,0 +1,19 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 23.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 44.4 44.4" style="enable-background:new 0 0 44.4 44.4;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:none;stroke:#F5A252;stroke-width:5;stroke-miterlimit:10;}
+	.st1{fill:none;stroke:#579ACA;stroke-width:5;stroke-miterlimit:10;}
+	.st2{fill:none;stroke:#E66581;stroke-width:5;stroke-miterlimit:10;}
+</style>
+<title>logo</title>
+<g>
+	<path class="st0" d="M33.9,6.4c3.6,3.9,3.4,9.9-0.5,13.5s-9.9,3.4-13.5-0.5s-3.4-9.9,0.5-13.5l0,0C24.2,2.4,30.2,2.6,33.9,6.4z"/>
+	<path class="st1" d="M35.1,27.3c2.6,4.6,1.1,10.4-3.5,13c-4.6,2.6-10.4,1.1-13-3.5s-1.1-10.4,3.5-13l0,0
+		C26.6,21.2,32.4,22.7,35.1,27.3z"/>
+	<path class="st2" d="M25.9,17.8c2.6,4.6,1.1,10.4-3.5,13s-10.4,1.1-13-3.5s-1.1-10.4,3.5-13l0,0C17.5,11.7,23.3,13.2,25.9,17.8z"/>
+	<path class="st1" d="M19.2,26.4c3.1-4.3,9.1-5.2,13.3-2.1c1.1,0.8,2,1.8,2.7,3"/>
+	<path class="st0" d="M19.9,19.4c-3.6-3.9-3.4-9.9,0.5-13.5s9.9-3.4,13.5,0.5"/>
+</g>
+</svg>
diff --git a/_static/images/logo_colab.png b/_static/images/logo_colab.png
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diff --git a/_static/images/logo_deepnote.svg b/_static/images/logo_deepnote.svg
new file mode 100644
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@@ -0,0 +1 @@
+<svg viewBox="0 0 128 128" fill="none" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M0 128h52.512l29.539-11.077-11.077-43.487-34.051 3.693L0 128Z" fill="#0076D4"/><path fill-rule="evenodd" clip-rule="evenodd" d="M52.513 128s16.6-8.759 19.673-24.277c3.072-15.517-12.091-26.594-35.263-26.594 0-.41 20.343-28.718 20.343-28.718l49.4 1.435L95.71 107.7l-20.452 15.978L52.513 128Z" fill="#002868"/><path fill-rule="evenodd" clip-rule="evenodd" d="M0 60.718 41.025.001s1.006.01 3.282 0c16.082-.068 81.23 3.12 81.23 60.368 0 65.352-73.025 67.631-73.025 67.631s30.495-5.839 30.495-34.816c0-28.978-27.541-32.466-45.264-32.466H0Z" fill="#00A9FF"/></svg>
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diff --git a/_static/language_data.js b/_static/language_data.js
new file mode 100644
index 0000000000..367b8ed81b
--- /dev/null
+++ b/_static/language_data.js
@@ -0,0 +1,199 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
+
+
+/* Non-minified version is copied as a separate JS file, if available */
+
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
diff --git a/_static/locales/ar/LC_MESSAGES/booktheme.mo b/_static/locales/ar/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..15541a6a375f93efed3f410c2f892174ba91aaa0
GIT binary patch
literal 1541
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literal 0
HcmV?d00001

diff --git a/_static/locales/ar/LC_MESSAGES/booktheme.po b/_static/locales/ar/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..34d404c6d0
--- /dev/null
+++ b/_static/locales/ar/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ar\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "طباعة إلى PDF"
+
+msgid "Theme by the"
+msgstr "موضوع بواسطة"
+
+msgid "Download source file"
+msgstr "تنزيل ملف المصدر"
+
+msgid "open issue"
+msgstr "قضية مفتوحة"
+
+msgid "Contents"
+msgstr "محتويات"
+
+msgid "previous page"
+msgstr "الصفحة السابقة"
+
+msgid "Download notebook file"
+msgstr "تنزيل ملف دفتر الملاحظات"
+
+msgid "Copyright"
+msgstr "حقوق النشر"
+
+msgid "Download this page"
+msgstr "قم بتنزيل هذه الصفحة"
+
+msgid "Source repository"
+msgstr "مستودع المصدر"
+
+msgid "By"
+msgstr "بواسطة"
+
+msgid "repository"
+msgstr "مخزن"
+
+msgid "Last updated on"
+msgstr "آخر تحديث في"
+
+msgid "Toggle navigation"
+msgstr "تبديل التنقل"
+
+msgid "Sphinx Book Theme"
+msgstr "موضوع كتاب أبو الهول"
+
+msgid "suggest edit"
+msgstr "أقترح تحرير"
+
+msgid "Open an issue"
+msgstr "افتح قضية"
+
+msgid "Launch"
+msgstr "إطلاق"
+
+msgid "Fullscreen mode"
+msgstr "وضع ملء الشاشة"
+
+msgid "Edit this page"
+msgstr "قم بتحرير هذه الصفحة"
+
+msgid "By the"
+msgstr "بواسطة"
+
+msgid "next page"
+msgstr "الصفحة التالية"
diff --git a/_static/locales/bg/LC_MESSAGES/booktheme.mo b/_static/locales/bg/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..da95120037f8d7c52ad1f166a7682ea55ca47a01
GIT binary patch
literal 1708
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z?$H!t6ZDeWG{IlejUqOUX+t6bUM~<v5E(gNiyDiaLS)Kap$?7nE_Z7#&0?FO)1WD8
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KlK*|VZ0$SA#iddJ

literal 0
HcmV?d00001

diff --git a/_static/locales/bg/LC_MESSAGES/booktheme.po b/_static/locales/bg/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..7420c19eb0
--- /dev/null
+++ b/_static/locales/bg/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: bg\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Печат в PDF"
+
+msgid "Theme by the"
+msgstr "Тема от"
+
+msgid "Download source file"
+msgstr "Изтеглете изходния файл"
+
+msgid "open issue"
+msgstr "отворен брой"
+
+msgid "Contents"
+msgstr "Съдържание"
+
+msgid "previous page"
+msgstr "предишна страница"
+
+msgid "Download notebook file"
+msgstr "Изтеглете файла на бележника"
+
+msgid "Copyright"
+msgstr "Авторско право"
+
+msgid "Download this page"
+msgstr "Изтеглете тази страница"
+
+msgid "Source repository"
+msgstr "Хранилище на източника"
+
+msgid "By"
+msgstr "От"
+
+msgid "repository"
+msgstr "хранилище"
+
+msgid "Last updated on"
+msgstr "Последна актуализация на"
+
+msgid "Toggle navigation"
+msgstr "Превключване на навигацията"
+
+msgid "Sphinx Book Theme"
+msgstr "Тема на книгата Sphinx"
+
+msgid "suggest edit"
+msgstr "предложи редактиране"
+
+msgid "Open an issue"
+msgstr "Отворете проблем"
+
+msgid "Launch"
+msgstr "Стартиране"
+
+msgid "Fullscreen mode"
+msgstr "Режим на цял екран"
+
+msgid "Edit this page"
+msgstr "Редактирайте тази страница"
+
+msgid "By the"
+msgstr "По"
+
+msgid "next page"
+msgstr "Следваща страница"
diff --git a/_static/locales/bn/LC_MESSAGES/booktheme.mo b/_static/locales/bn/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..6b96639b726a2fa959a6419b6f8b7e0dfcce33ae
GIT binary patch
literal 1646
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literal 0
HcmV?d00001

diff --git a/_static/locales/bn/LC_MESSAGES/booktheme.po b/_static/locales/bn/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..63a07c3627
--- /dev/null
+++ b/_static/locales/bn/LC_MESSAGES/booktheme.po
@@ -0,0 +1,63 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: bn\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "পিডিএফ প্রিন্ট করুন"
+
+msgid "Theme by the"
+msgstr "থিম দ্বারা"
+
+msgid "Download source file"
+msgstr "উত্স ফাইল ডাউনলোড করুন"
+
+msgid "open issue"
+msgstr "খোলা সমস্যা"
+
+msgid "previous page"
+msgstr "আগের পৃষ্ঠা"
+
+msgid "Download notebook file"
+msgstr "নোটবুক ফাইল ডাউনলোড করুন"
+
+msgid "Copyright"
+msgstr "কপিরাইট"
+
+msgid "Download this page"
+msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
+
+msgid "Source repository"
+msgstr "উত্স সংগ্রহস্থল"
+
+msgid "By"
+msgstr "দ্বারা"
+
+msgid "Last updated on"
+msgstr "সর্বশেষ আপডেট"
+
+msgid "Toggle navigation"
+msgstr "নেভিগেশন টগল করুন"
+
+msgid "Sphinx Book Theme"
+msgstr "স্পিনিক্স বুক থিম"
+
+msgid "Open an issue"
+msgstr "একটি সমস্যা খুলুন"
+
+msgid "Launch"
+msgstr "শুরু করা"
+
+msgid "Edit this page"
+msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
+
+msgid "By the"
+msgstr "দ্বারা"
+
+msgid "next page"
+msgstr "পরবর্তী পৃষ্ঠা"
diff --git a/_static/locales/ca/LC_MESSAGES/booktheme.mo b/_static/locales/ca/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..a4dd30e9bd762578b119c4401d082ea4fa430613
GIT binary patch
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zOWKmj^Mcj9Hx@yT=Ic{xVQ{|Z%;hFHzoHhhj<H>u5HHORr>y#KY7MM6T^uJ&R^K(T
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literal 0
HcmV?d00001

diff --git a/_static/locales/ca/LC_MESSAGES/booktheme.po b/_static/locales/ca/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..8fb358bf1d
--- /dev/null
+++ b/_static/locales/ca/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ca\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimeix a PDF"
+
+msgid "Theme by the"
+msgstr "Tema del"
+
+msgid "Download source file"
+msgstr "Baixeu el fitxer font"
+
+msgid "open issue"
+msgstr "número obert"
+
+msgid "previous page"
+msgstr "Pàgina anterior"
+
+msgid "Download notebook file"
+msgstr "Descarregar fitxer de quadern"
+
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "Descarregueu aquesta pàgina"
+
+msgid "Source repository"
+msgstr "Dipòsit de fonts"
+
+msgid "By"
+msgstr "Per"
+
+msgid "Last updated on"
+msgstr "Darrera actualització el"
+
+msgid "Toggle navigation"
+msgstr "Commuta la navegació"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema del llibre Esfinx"
+
+msgid "suggest edit"
+msgstr "suggerir edició"
+
+msgid "Open an issue"
+msgstr "Obriu un número"
+
+msgid "Launch"
+msgstr "Llançament"
+
+msgid "Edit this page"
+msgstr "Editeu aquesta pàgina"
+
+msgid "By the"
+msgstr "Per la"
+
+msgid "next page"
+msgstr "pàgina següent"
diff --git a/_static/locales/cs/LC_MESSAGES/booktheme.mo b/_static/locales/cs/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..c39e01a6ae9ae5242f04566ffa2cda96b328ca18
GIT binary patch
literal 1405
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LZS{&p7>oY^Ev$2?

literal 0
HcmV?d00001

diff --git a/_static/locales/cs/LC_MESSAGES/booktheme.po b/_static/locales/cs/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..c6ef469082
--- /dev/null
+++ b/_static/locales/cs/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: cs\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Tisk do PDF"
+
+msgid "Theme by the"
+msgstr "Téma od"
+
+msgid "Download source file"
+msgstr "Stáhněte si zdrojový soubor"
+
+msgid "open issue"
+msgstr "otevřené číslo"
+
+msgid "Contents"
+msgstr "Obsah"
+
+msgid "previous page"
+msgstr "předchozí stránka"
+
+msgid "Download notebook file"
+msgstr "Stáhnout soubor poznámkového bloku"
+
+msgid "Copyright"
+msgstr "autorská práva"
+
+msgid "Download this page"
+msgstr "Stáhněte si tuto stránku"
+
+msgid "Source repository"
+msgstr "Zdrojové úložiště"
+
+msgid "By"
+msgstr "Podle"
+
+msgid "repository"
+msgstr "úložiště"
+
+msgid "Last updated on"
+msgstr "Naposledy aktualizováno"
+
+msgid "Toggle navigation"
+msgstr "Přepnout navigaci"
+
+msgid "Sphinx Book Theme"
+msgstr "Téma knihy Sfinga"
+
+msgid "suggest edit"
+msgstr "navrhnout úpravy"
+
+msgid "Open an issue"
+msgstr "Otevřete problém"
+
+msgid "Launch"
+msgstr "Zahájení"
+
+msgid "Fullscreen mode"
+msgstr "Režim celé obrazovky"
+
+msgid "Edit this page"
+msgstr "Upravit tuto stránku"
+
+msgid "By the"
+msgstr "Podle"
+
+msgid "next page"
+msgstr "další strana"
diff --git a/_static/locales/da/LC_MESSAGES/booktheme.mo b/_static/locales/da/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..f43157d70c63ff21b4385dc36cb73f5b14eb6b01
GIT binary patch
literal 1304
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SUX?-NBA@lQq$?{yr^R17AT=cb

literal 0
HcmV?d00001

diff --git a/_static/locales/da/LC_MESSAGES/booktheme.po b/_static/locales/da/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..306a38e52d
--- /dev/null
+++ b/_static/locales/da/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: da\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Udskriv til PDF"
+
+msgid "Theme by the"
+msgstr "Tema af"
+
+msgid "Download source file"
+msgstr "Download kildefil"
+
+msgid "open issue"
+msgstr "åbent nummer"
+
+msgid "Contents"
+msgstr "Indhold"
+
+msgid "previous page"
+msgstr "forrige side"
+
+msgid "Download notebook file"
+msgstr "Download notesbog-fil"
+
+msgid "Copyright"
+msgstr "ophavsret"
+
+msgid "Download this page"
+msgstr "Download denne side"
+
+msgid "Source repository"
+msgstr "Kildelager"
+
+msgid "By"
+msgstr "Ved"
+
+msgid "repository"
+msgstr "lager"
+
+msgid "Last updated on"
+msgstr "Sidst opdateret den"
+
+msgid "Toggle navigation"
+msgstr "Skift navigation"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx bogtema"
+
+msgid "suggest edit"
+msgstr "foreslå redigering"
+
+msgid "Open an issue"
+msgstr "Åbn et problem"
+
+msgid "Launch"
+msgstr "Start"
+
+msgid "Fullscreen mode"
+msgstr "Fuldskærmstilstand"
+
+msgid "Edit this page"
+msgstr "Rediger denne side"
+
+msgid "By the"
+msgstr "Ved"
+
+msgid "next page"
+msgstr "Næste side"
diff --git a/_static/locales/de/LC_MESSAGES/booktheme.mo b/_static/locales/de/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..648b565c7829535bc5f26f86909f458d0cd0fe1b
GIT binary patch
literal 1388
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literal 0
HcmV?d00001

diff --git a/_static/locales/de/LC_MESSAGES/booktheme.po b/_static/locales/de/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..4925360d43
--- /dev/null
+++ b/_static/locales/de/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: de\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "In PDF drucken"
+
+msgid "Theme by the"
+msgstr "Thema von der"
+
+msgid "Download source file"
+msgstr "Quelldatei herunterladen"
+
+msgid "open issue"
+msgstr "offenes Thema"
+
+msgid "Contents"
+msgstr "Inhalt"
+
+msgid "previous page"
+msgstr "vorherige Seite"
+
+msgid "Download notebook file"
+msgstr "Notebook-Datei herunterladen"
+
+msgid "Copyright"
+msgstr "Urheberrechte ©"
+
+msgid "Download this page"
+msgstr "Laden Sie diese Seite herunter"
+
+msgid "Source repository"
+msgstr "Quell-Repository"
+
+msgid "By"
+msgstr "Durch"
+
+msgid "repository"
+msgstr "Repository"
+
+msgid "Last updated on"
+msgstr "Zuletzt aktualisiert am"
+
+msgid "Toggle navigation"
+msgstr "Navigation umschalten"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx-Buch-Thema"
+
+msgid "suggest edit"
+msgstr "vorschlagen zu bearbeiten"
+
+msgid "Open an issue"
+msgstr "Öffnen Sie ein Problem"
+
+msgid "Launch"
+msgstr "Starten"
+
+msgid "Fullscreen mode"
+msgstr "Vollbildmodus"
+
+msgid "Edit this page"
+msgstr "Bearbeite diese Seite"
+
+msgid "By the"
+msgstr "Bis zum"
+
+msgid "next page"
+msgstr "Nächste Seite"
diff --git a/_static/locales/el/LC_MESSAGES/booktheme.mo b/_static/locales/el/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..fca6e9355f314677f2890f5679fd79dd67a7a5a2
GIT binary patch
literal 1722
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z1>K9Em-u-XId|sNnX#?+BZm&>`i;#`&PJx7QxbSBs(F4es!LTbPE1;ScXB*`Y)dcp
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z!IGORj47br#qth1q_-xG*Y+m$QJl1ldYsi|#&y>pn)3O}2r<588%%~cb6DJv&M0zR
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literal 0
HcmV?d00001

diff --git a/_static/locales/el/LC_MESSAGES/booktheme.po b/_static/locales/el/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..3e01acbd9a
--- /dev/null
+++ b/_static/locales/el/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: el\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Εκτύπωση σε PDF"
+
+msgid "Theme by the"
+msgstr "Θέμα από το"
+
+msgid "Download source file"
+msgstr "Λήψη αρχείου προέλευσης"
+
+msgid "open issue"
+msgstr "ανοιχτό ζήτημα"
+
+msgid "Contents"
+msgstr "Περιεχόμενα"
+
+msgid "previous page"
+msgstr "προηγούμενη σελίδα"
+
+msgid "Download notebook file"
+msgstr "Λήψη αρχείου σημειωματάριου"
+
+msgid "Copyright"
+msgstr "Πνευματική ιδιοκτησία"
+
+msgid "Download this page"
+msgstr "Λήψη αυτής της σελίδας"
+
+msgid "Source repository"
+msgstr "Αποθήκη πηγής"
+
+msgid "By"
+msgstr "Με"
+
+msgid "repository"
+msgstr "αποθήκη"
+
+msgid "Last updated on"
+msgstr "Τελευταία ενημέρωση στις"
+
+msgid "Toggle navigation"
+msgstr "Εναλλαγή πλοήγησης"
+
+msgid "Sphinx Book Theme"
+msgstr "Θέμα βιβλίου Sphinx"
+
+msgid "suggest edit"
+msgstr "προτείνω επεξεργασία"
+
+msgid "Open an issue"
+msgstr "Ανοίξτε ένα ζήτημα"
+
+msgid "Launch"
+msgstr "Εκτόξευση"
+
+msgid "Fullscreen mode"
+msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ"
+
+msgid "Edit this page"
+msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
+
+msgid "By the"
+msgstr "Από το"
+
+msgid "next page"
+msgstr "επόμενη σελίδα"
diff --git a/_static/locales/eo/LC_MESSAGES/booktheme.mo b/_static/locales/eo/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d1072bbec62959524a87953d3f41b7c272ecbe37
GIT binary patch
literal 1337
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z=%6?-<TiX@#hgl!_#l@i9~5D<9eFKPTC~5#u|zStZ)nMi`9*E|UddU#;B3?(i1Q+2
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literal 0
HcmV?d00001

diff --git a/_static/locales/eo/LC_MESSAGES/booktheme.po b/_static/locales/eo/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..f7ed2262d1
--- /dev/null
+++ b/_static/locales/eo/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: eo\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Presi al PDF"
+
+msgid "Theme by the"
+msgstr "Temo de la"
+
+msgid "Download source file"
+msgstr "Elŝutu fontodosieron"
+
+msgid "open issue"
+msgstr "malferma numero"
+
+msgid "Contents"
+msgstr "Enhavo"
+
+msgid "previous page"
+msgstr "antaŭa paĝo"
+
+msgid "Download notebook file"
+msgstr "Elŝutu kajeran dosieron"
+
+msgid "Copyright"
+msgstr "Kopirajto"
+
+msgid "Download this page"
+msgstr "Elŝutu ĉi tiun paĝon"
+
+msgid "Source repository"
+msgstr "Fonto-deponejo"
+
+msgid "By"
+msgstr "De"
+
+msgid "repository"
+msgstr "deponejo"
+
+msgid "Last updated on"
+msgstr "Laste ĝisdatigita la"
+
+msgid "Toggle navigation"
+msgstr "Ŝalti navigadon"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfinksa Libro-Temo"
+
+msgid "suggest edit"
+msgstr "sugesti redaktadon"
+
+msgid "Open an issue"
+msgstr "Malfermu numeron"
+
+msgid "Launch"
+msgstr "Lanĉo"
+
+msgid "Fullscreen mode"
+msgstr "Plenekrana reĝimo"
+
+msgid "Edit this page"
+msgstr "Redaktu ĉi tiun paĝon"
+
+msgid "By the"
+msgstr "Per la"
+
+msgid "next page"
+msgstr "sekva paĝo"
diff --git a/_static/locales/es/LC_MESSAGES/booktheme.mo b/_static/locales/es/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..ba2ee4dc22148ed53f2aeba32c5965654d4a5a2f
GIT binary patch
literal 1396
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zsg65u%fhre9yJUf6KusrthQzv+672++(cecEV5X4sri<+xahTU@tQ2Tj8rs5BN4#T
iU!*-mQ^Nsab@xTRCJqKkd{;ciD^w4Rh!536LH!R)!cyS?

literal 0
HcmV?d00001

diff --git a/_static/locales/es/LC_MESSAGES/booktheme.po b/_static/locales/es/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..5e0029e5f7
--- /dev/null
+++ b/_static/locales/es/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: es\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimir en PDF"
+
+msgid "Theme by the"
+msgstr "Tema por el"
+
+msgid "Download source file"
+msgstr "Descargar archivo fuente"
+
+msgid "open issue"
+msgstr "Tema abierto"
+
+msgid "Contents"
+msgstr "Contenido"
+
+msgid "previous page"
+msgstr "pagina anterior"
+
+msgid "Download notebook file"
+msgstr "Descargar archivo de cuaderno"
+
+msgid "Copyright"
+msgstr "Derechos de autor"
+
+msgid "Download this page"
+msgstr "Descarga esta pagina"
+
+msgid "Source repository"
+msgstr "Repositorio de origen"
+
+msgid "By"
+msgstr "Por"
+
+msgid "repository"
+msgstr "repositorio"
+
+msgid "Last updated on"
+msgstr "Ultima actualización en"
+
+msgid "Toggle navigation"
+msgstr "Navegación de palanca"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema del libro de la esfinge"
+
+msgid "suggest edit"
+msgstr "sugerir editar"
+
+msgid "Open an issue"
+msgstr "Abrir un problema"
+
+msgid "Launch"
+msgstr "Lanzamiento"
+
+msgid "Fullscreen mode"
+msgstr "Modo de pantalla completa"
+
+msgid "Edit this page"
+msgstr "Edita esta página"
+
+msgid "By the"
+msgstr "Por el"
+
+msgid "next page"
+msgstr "siguiente página"
diff --git a/_static/locales/et/LC_MESSAGES/booktheme.mo b/_static/locales/et/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..983b82391f499b67a9046c15d0dd8744650ad925
GIT binary patch
literal 1341
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z-jrOCj`OFMOqk`wddINU##;0GR19tBdvzi?e7zruw52+Aw>NT5Q%F&X%h*Lj=6f7z
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P_MW2m5}a<3ol*Y+f5$~k

literal 0
HcmV?d00001

diff --git a/_static/locales/et/LC_MESSAGES/booktheme.po b/_static/locales/et/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..8680982a97
--- /dev/null
+++ b/_static/locales/et/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: et\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Prindi PDF-i"
+
+msgid "Theme by the"
+msgstr "Teema"
+
+msgid "Download source file"
+msgstr "Laadige alla lähtefail"
+
+msgid "open issue"
+msgstr "avatud küsimus"
+
+msgid "Contents"
+msgstr "Sisu"
+
+msgid "previous page"
+msgstr "eelmine leht"
+
+msgid "Download notebook file"
+msgstr "Laadige sülearvuti fail alla"
+
+msgid "Copyright"
+msgstr "Autoriõigus"
+
+msgid "Download this page"
+msgstr "Laadige see leht alla"
+
+msgid "Source repository"
+msgstr "Allikahoidla"
+
+msgid "By"
+msgstr "Kõrval"
+
+msgid "repository"
+msgstr "hoidla"
+
+msgid "Last updated on"
+msgstr "Viimati uuendatud"
+
+msgid "Toggle navigation"
+msgstr "Lülita navigeerimine sisse"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfinksiraamatu teema"
+
+msgid "suggest edit"
+msgstr "soovita muuta"
+
+msgid "Open an issue"
+msgstr "Avage probleem"
+
+msgid "Launch"
+msgstr "Käivitage"
+
+msgid "Fullscreen mode"
+msgstr "Täisekraanirežiim"
+
+msgid "Edit this page"
+msgstr "Muutke seda lehte"
+
+msgid "By the"
+msgstr "Autor"
+
+msgid "next page"
+msgstr "järgmine leht"
diff --git a/_static/locales/fi/LC_MESSAGES/booktheme.mo b/_static/locales/fi/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d8ac054597c924e3010f629caeac1c748b7211cd
GIT binary patch
literal 1368
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zO>~T6=Ywl@%y^W>^xt9_kNV@0^m<T2z-5q-Si@7TDRI|jPTKKk7{>3c4B9BMrgfh(
zuVp?S>46Ru!ccTe7eieYS*GF0;G*3eAeplXnZCllffvOWA=>i5w+5yH-zgk~ao1dl
zs44(@M0}Rt9Mp|iQ#yrKbuAq3msY|P`l$x0E<_Em{7-o?CS$aPMpfmO5T&sTb;r2u
H66VBTf3Z^G

literal 0
HcmV?d00001

diff --git a/_static/locales/fi/LC_MESSAGES/booktheme.po b/_static/locales/fi/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..34dac21839
--- /dev/null
+++ b/_static/locales/fi/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: fi\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Tulosta PDF-tiedostoon"
+
+msgid "Theme by the"
+msgstr "Teeman tekijä"
+
+msgid "Download source file"
+msgstr "Lataa lähdetiedosto"
+
+msgid "open issue"
+msgstr "avoin ongelma"
+
+msgid "Contents"
+msgstr "Sisällys"
+
+msgid "previous page"
+msgstr "Edellinen sivu"
+
+msgid "Download notebook file"
+msgstr "Lataa muistikirjatiedosto"
+
+msgid "Copyright"
+msgstr "Tekijänoikeus"
+
+msgid "Download this page"
+msgstr "Lataa tämä sivu"
+
+msgid "Source repository"
+msgstr "Lähteen arkisto"
+
+msgid "By"
+msgstr "Tekijä"
+
+msgid "repository"
+msgstr "arkisto"
+
+msgid "Last updated on"
+msgstr "Viimeksi päivitetty"
+
+msgid "Toggle navigation"
+msgstr "Vaihda navigointia"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx-kirjan teema"
+
+msgid "suggest edit"
+msgstr "ehdottaa muokkausta"
+
+msgid "Open an issue"
+msgstr "Avaa ongelma"
+
+msgid "Launch"
+msgstr "Tuoda markkinoille"
+
+msgid "Fullscreen mode"
+msgstr "Koko näytön tila"
+
+msgid "Edit this page"
+msgstr "Muokkaa tätä sivua"
+
+msgid "By the"
+msgstr "Mukaan"
+
+msgid "next page"
+msgstr "seuraava sivu"
diff --git a/_static/locales/fr/LC_MESSAGES/booktheme.mo b/_static/locales/fr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..f663d39f0faa76c5b9bd504c51252eef74cca5de
GIT binary patch
literal 1412
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z52>N(OOB9IrIvT`P%K$}>uh8j13v0qZ;CRi75AO3oX*L*$lK06qM@nyU^}?vGk#|?
zmL^cG3s$SSi7>stTuW6IGS6&j<Z@PbbcmGdTu08yS*(-IO0`+zg0^HrNUXNJu`uFj
zYh_K{YxF$VE|}>2uDVy3#y+NH@oiA@h}HB>+f7UZR}>YK)jOup(LluV<JfrTM5hs{
zJ?|KoTDK3G52+{^UNRzqEAAm@vAdpkAFvOw)}uzhEBf83a%W?GWA)&C;mfZ(ZDPBF
z-I{w8;lNjQrHx&ptkgbm?B5@(b#EQq^V)_X`|hgETyAX9qg&f1cJ63fB;>V6L*Ln|
zlGjyt&G}L2k*%l8&|h4l=Cgm((zQM<e7@9CTiVMcl&<k5soXmg1LZe#ik!R}Ovcq@
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z@(VpgvBl*|+YE)ZQEjFj&wG?C)!uDalV>RR`l$A11nWA{5XsPS+9@lOaXon+Y2Ue0
zE>oVUGO*E>4ZSkmuAAH}>yV{N!q<m8Mp~IdGCLao4;4&dwOl&l#q>_?5zAzp!&O#!
T<A7>A2+cw{Vw>h7Yg+MtLz81?

literal 0
HcmV?d00001

diff --git a/_static/locales/fr/LC_MESSAGES/booktheme.po b/_static/locales/fr/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..8991a1b87b
--- /dev/null
+++ b/_static/locales/fr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: fr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimer au format PDF"
+
+msgid "Theme by the"
+msgstr "Thème par le"
+
+msgid "Download source file"
+msgstr "Télécharger le fichier source"
+
+msgid "open issue"
+msgstr "signaler un problème"
+
+msgid "Contents"
+msgstr "Contenu"
+
+msgid "previous page"
+msgstr "page précédente"
+
+msgid "Download notebook file"
+msgstr "Télécharger le fichier notebook"
+
+msgid "Copyright"
+msgstr "droits d'auteur"
+
+msgid "Download this page"
+msgstr "Téléchargez cette page"
+
+msgid "Source repository"
+msgstr "Dépôt source"
+
+msgid "By"
+msgstr "Par"
+
+msgid "repository"
+msgstr "dépôt"
+
+msgid "Last updated on"
+msgstr "Dernière mise à jour le"
+
+msgid "Toggle navigation"
+msgstr "Basculer la navigation"
+
+msgid "Sphinx Book Theme"
+msgstr "Thème du livre Sphinx"
+
+msgid "suggest edit"
+msgstr "suggestion de modification"
+
+msgid "Open an issue"
+msgstr "Ouvrez un problème"
+
+msgid "Launch"
+msgstr "lancement"
+
+msgid "Fullscreen mode"
+msgstr "Mode plein écran"
+
+msgid "Edit this page"
+msgstr "Modifier cette page"
+
+msgid "By the"
+msgstr "Par le"
+
+msgid "next page"
+msgstr "page suivante"
diff --git a/_static/locales/hr/LC_MESSAGES/booktheme.mo b/_static/locales/hr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..eca4a1a2842830f06bd5f6235bf01d07bdd313d2
GIT binary patch
literal 1402
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literal 0
HcmV?d00001

diff --git a/_static/locales/hr/LC_MESSAGES/booktheme.po b/_static/locales/hr/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..42c4233d07
--- /dev/null
+++ b/_static/locales/hr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: hr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Ispis u PDF"
+
+msgid "Theme by the"
+msgstr "Tema autora"
+
+msgid "Download source file"
+msgstr "Preuzmi izvornu datoteku"
+
+msgid "open issue"
+msgstr "otvoreno izdanje"
+
+msgid "Contents"
+msgstr "Sadržaj"
+
+msgid "previous page"
+msgstr "Prethodna stranica"
+
+msgid "Download notebook file"
+msgstr "Preuzmi datoteku bilježnice"
+
+msgid "Copyright"
+msgstr "Autorska prava"
+
+msgid "Download this page"
+msgstr "Preuzmite ovu stranicu"
+
+msgid "Source repository"
+msgstr "Izvorno spremište"
+
+msgid "By"
+msgstr "Po"
+
+msgid "repository"
+msgstr "spremište"
+
+msgid "Last updated on"
+msgstr "Posljednje ažuriranje:"
+
+msgid "Toggle navigation"
+msgstr "Uključi / isključi navigaciju"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema knjige Sphinx"
+
+msgid "suggest edit"
+msgstr "predloži uređivanje"
+
+msgid "Open an issue"
+msgstr "Otvorite izdanje"
+
+msgid "Launch"
+msgstr "Pokrenite"
+
+msgid "Fullscreen mode"
+msgstr "Način preko cijelog zaslona"
+
+msgid "Edit this page"
+msgstr "Uredite ovu stranicu"
+
+msgid "By the"
+msgstr "Od strane"
+
+msgid "next page"
+msgstr "sljedeća stranica"
diff --git a/_static/locales/id/LC_MESSAGES/booktheme.mo b/_static/locales/id/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d07a06a9d27aaf6d67234c227c22d61d5a23203b
GIT binary patch
literal 1323
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T@Rc+s5Lgrh10CRyRonjp5+F85

literal 0
HcmV?d00001

diff --git a/_static/locales/id/LC_MESSAGES/booktheme.po b/_static/locales/id/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..b8d8d898ee
--- /dev/null
+++ b/_static/locales/id/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: id\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
+
+msgid "Theme by the"
+msgstr "Tema oleh"
+
+msgid "Download source file"
+msgstr "Unduh file sumber"
+
+msgid "open issue"
+msgstr "masalah terbuka"
+
+msgid "Contents"
+msgstr "Isi"
+
+msgid "previous page"
+msgstr "halaman sebelumnya"
+
+msgid "Download notebook file"
+msgstr "Unduh file notebook"
+
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Download this page"
+msgstr "Unduh halaman ini"
+
+msgid "Source repository"
+msgstr "Repositori sumber"
+
+msgid "By"
+msgstr "Oleh"
+
+msgid "repository"
+msgstr "gudang"
+
+msgid "Last updated on"
+msgstr "Terakhir diperbarui saat"
+
+msgid "Toggle navigation"
+msgstr "Alihkan navigasi"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema Buku Sphinx"
+
+msgid "suggest edit"
+msgstr "menyarankan edit"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
+
+msgid "Launch"
+msgstr "Meluncurkan"
+
+msgid "Fullscreen mode"
+msgstr "Mode layar penuh"
+
+msgid "Edit this page"
+msgstr "Edit halaman ini"
+
+msgid "By the"
+msgstr "Oleh"
+
+msgid "next page"
+msgstr "halaman selanjutnya"
diff --git a/_static/locales/it/LC_MESSAGES/booktheme.mo b/_static/locales/it/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..53ba476edd2df2a802917e9df402257ceca1a130
GIT binary patch
literal 1403
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z!*UGfp34HuR+WV4?HsPL=1>m45R2fh*HNhPRL3xNJhx_&?Yu^?zAcKo|5pQ*LIIU4
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a)*Q3l*@6-(xNK#4xqhOgLbT*tS<HW%;#JK6

literal 0
HcmV?d00001

diff --git a/_static/locales/it/LC_MESSAGES/booktheme.po b/_static/locales/it/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..36fca59f88
--- /dev/null
+++ b/_static/locales/it/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: it\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Stampa in PDF"
+
+msgid "Theme by the"
+msgstr "Tema di"
+
+msgid "Download source file"
+msgstr "Scarica il file sorgente"
+
+msgid "open issue"
+msgstr "questione aperta"
+
+msgid "Contents"
+msgstr "Contenuti"
+
+msgid "previous page"
+msgstr "pagina precedente"
+
+msgid "Download notebook file"
+msgstr "Scarica il file del taccuino"
+
+msgid "Copyright"
+msgstr "Diritto d'autore"
+
+msgid "Download this page"
+msgstr "Scarica questa pagina"
+
+msgid "Source repository"
+msgstr "Repository di origine"
+
+msgid "By"
+msgstr "Di"
+
+msgid "repository"
+msgstr "repository"
+
+msgid "Last updated on"
+msgstr "Ultimo aggiornamento il"
+
+msgid "Toggle navigation"
+msgstr "Attiva / disattiva la navigazione"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema del libro della Sfinge"
+
+msgid "suggest edit"
+msgstr "suggerisci modifica"
+
+msgid "Open an issue"
+msgstr "Apri un problema"
+
+msgid "Launch"
+msgstr "Lanciare"
+
+msgid "Fullscreen mode"
+msgstr "Modalità schermo intero"
+
+msgid "Edit this page"
+msgstr "Modifica questa pagina"
+
+msgid "By the"
+msgstr "Dal"
+
+msgid "next page"
+msgstr "pagina successiva"
diff --git a/_static/locales/iw/LC_MESSAGES/booktheme.mo b/_static/locales/iw/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..a45c6575e469914582f8223ac54793afc2f26575
GIT binary patch
literal 1445
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F;x7>$;pPAU

literal 0
HcmV?d00001

diff --git a/_static/locales/iw/LC_MESSAGES/booktheme.po b/_static/locales/iw/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..dede9cb086
--- /dev/null
+++ b/_static/locales/iw/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: iw\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "הדפס לקובץ PDF"
+
+msgid "Theme by the"
+msgstr "נושא מאת"
+
+msgid "Download source file"
+msgstr "הורד את קובץ המקור"
+
+msgid "open issue"
+msgstr "בעיה פתוחה"
+
+msgid "Contents"
+msgstr "תוכן"
+
+msgid "previous page"
+msgstr "עמוד קודם"
+
+msgid "Download notebook file"
+msgstr "הורד קובץ מחברת"
+
+msgid "Copyright"
+msgstr "זכויות יוצרים"
+
+msgid "Download this page"
+msgstr "הורד דף זה"
+
+msgid "Source repository"
+msgstr "מאגר המקורות"
+
+msgid "By"
+msgstr "על ידי"
+
+msgid "repository"
+msgstr "מאגר"
+
+msgid "Last updated on"
+msgstr "עודכן לאחרונה ב"
+
+msgid "Toggle navigation"
+msgstr "החלף ניווט"
+
+msgid "Sphinx Book Theme"
+msgstr "נושא ספר ספינקס"
+
+msgid "suggest edit"
+msgstr "מציע לערוך"
+
+msgid "Open an issue"
+msgstr "פתח גיליון"
+
+msgid "Launch"
+msgstr "לְהַשִׁיק"
+
+msgid "Fullscreen mode"
+msgstr "מצב מסך מלא"
+
+msgid "Edit this page"
+msgstr "ערוך דף זה"
+
+msgid "By the"
+msgstr "דרך"
+
+msgid "next page"
+msgstr "עמוד הבא"
diff --git a/_static/locales/ja/LC_MESSAGES/booktheme.mo b/_static/locales/ja/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..1cefd29ce3cc08792667a82dc7ff47e9843107be
GIT binary patch
literal 1471
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Jb0#{<{sfT*^1J{5

literal 0
HcmV?d00001

diff --git a/_static/locales/ja/LC_MESSAGES/booktheme.po b/_static/locales/ja/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..2615f0d874
--- /dev/null
+++ b/_static/locales/ja/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ja\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDFに印刷"
+
+msgid "Theme by the"
+msgstr "のテーマ"
+
+msgid "Download source file"
+msgstr "ソースファイルをダウンロード"
+
+msgid "open issue"
+msgstr "未解決の問題"
+
+msgid "Contents"
+msgstr "目次"
+
+msgid "previous page"
+msgstr "前のページ"
+
+msgid "Download notebook file"
+msgstr "ノートブックファイルをダウンロード"
+
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "このページをダウンロード"
+
+msgid "Source repository"
+msgstr "ソースリポジトリ"
+
+msgid "By"
+msgstr "著者"
+
+msgid "repository"
+msgstr "リポジトリ"
+
+msgid "Last updated on"
+msgstr "最終更新日"
+
+msgid "Toggle navigation"
+msgstr "ナビゲーションを切り替え"
+
+msgid "Sphinx Book Theme"
+msgstr "スフィンクスの本のテーマ"
+
+msgid "suggest edit"
+msgstr "編集を提案する"
+
+msgid "Open an issue"
+msgstr "問題を報告"
+
+msgid "Launch"
+msgstr "起動"
+
+msgid "Fullscreen mode"
+msgstr "全画面モード"
+
+msgid "Edit this page"
+msgstr "このページを編集"
+
+msgid "By the"
+msgstr "によって"
+
+msgid "next page"
+msgstr "次のページ"
diff --git a/_static/locales/ko/LC_MESSAGES/booktheme.mo b/_static/locales/ko/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..06c7ec938b4975c721caff60b956e343eef11570
GIT binary patch
literal 1375
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zVByt<c|5_)*k$u{<ok4mg@es#xEW4g;Zdbx>hE}X>$!Q{z_su`ZeFjL;phL~syBFa
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D6Q!<*

literal 0
HcmV?d00001

diff --git a/_static/locales/ko/LC_MESSAGES/booktheme.po b/_static/locales/ko/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..c9e13a427b
--- /dev/null
+++ b/_static/locales/ko/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ko\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF로 인쇄"
+
+msgid "Theme by the"
+msgstr "테마별"
+
+msgid "Download source file"
+msgstr "소스 파일 다운로드"
+
+msgid "open issue"
+msgstr "열린 문제"
+
+msgid "Contents"
+msgstr "내용"
+
+msgid "previous page"
+msgstr "이전 페이지"
+
+msgid "Download notebook file"
+msgstr "노트북 파일 다운로드"
+
+msgid "Copyright"
+msgstr "저작권"
+
+msgid "Download this page"
+msgstr "이 페이지 다운로드"
+
+msgid "Source repository"
+msgstr "소스 저장소"
+
+msgid "By"
+msgstr "으로"
+
+msgid "repository"
+msgstr "저장소"
+
+msgid "Last updated on"
+msgstr "마지막 업데이트"
+
+msgid "Toggle navigation"
+msgstr "탐색 전환"
+
+msgid "Sphinx Book Theme"
+msgstr "스핑크스 도서 테마"
+
+msgid "suggest edit"
+msgstr "편집 제안"
+
+msgid "Open an issue"
+msgstr "이슈 열기"
+
+msgid "Launch"
+msgstr "시작하다"
+
+msgid "Fullscreen mode"
+msgstr "전체 화면으로보기"
+
+msgid "Edit this page"
+msgstr "이 페이지 편집"
+
+msgid "By the"
+msgstr "에 의해"
+
+msgid "next page"
+msgstr "다음 페이지"
diff --git a/_static/locales/lt/LC_MESSAGES/booktheme.mo b/_static/locales/lt/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..4468ba04bc134a84fea5e3c973461cf02c9c2da3
GIT binary patch
literal 1413
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zZOLY+Fx##<<Ci)qd?52?bQCIW>3{(8<Tx*Q1-TMM%b)wstrt>W!QLNCjg(=>2Jsvw
ClWZvf

literal 0
HcmV?d00001

diff --git a/_static/locales/lt/LC_MESSAGES/booktheme.po b/_static/locales/lt/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..35eabd955f
--- /dev/null
+++ b/_static/locales/lt/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: lt\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Spausdinti į PDF"
+
+msgid "Theme by the"
+msgstr "Tema"
+
+msgid "Download source file"
+msgstr "Atsisiųsti šaltinio failą"
+
+msgid "open issue"
+msgstr "atviras klausimas"
+
+msgid "Contents"
+msgstr "Turinys"
+
+msgid "previous page"
+msgstr "Ankstesnis puslapis"
+
+msgid "Download notebook file"
+msgstr "Atsisiųsti nešiojamojo kompiuterio failą"
+
+msgid "Copyright"
+msgstr "Autorių teisės"
+
+msgid "Download this page"
+msgstr "Atsisiųskite šį puslapį"
+
+msgid "Source repository"
+msgstr "Šaltinio saugykla"
+
+msgid "By"
+msgstr "Iki"
+
+msgid "repository"
+msgstr "saugykla"
+
+msgid "Last updated on"
+msgstr "Paskutinį kartą atnaujinta"
+
+msgid "Toggle navigation"
+msgstr "Perjungti naršymą"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfinkso knygos tema"
+
+msgid "suggest edit"
+msgstr "pasiūlyti redaguoti"
+
+msgid "Open an issue"
+msgstr "Atidarykite problemą"
+
+msgid "Launch"
+msgstr "Paleiskite"
+
+msgid "Fullscreen mode"
+msgstr "Pilno ekrano režimas"
+
+msgid "Edit this page"
+msgstr "Redaguoti šį puslapį"
+
+msgid "By the"
+msgstr "Prie"
+
+msgid "next page"
+msgstr "Kitas puslapis"
diff --git a/_static/locales/lv/LC_MESSAGES/booktheme.mo b/_static/locales/lv/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..74aa4d8985d96a07c4c9be96f006f3b58d884342
GIT binary patch
literal 1404
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A2mk;8

literal 0
HcmV?d00001

diff --git a/_static/locales/lv/LC_MESSAGES/booktheme.po b/_static/locales/lv/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..ee1bd08dfe
--- /dev/null
+++ b/_static/locales/lv/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: lv\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Drukāt PDF formātā"
+
+msgid "Theme by the"
+msgstr "Autora tēma"
+
+msgid "Download source file"
+msgstr "Lejupielādēt avota failu"
+
+msgid "open issue"
+msgstr "atklāts jautājums"
+
+msgid "Contents"
+msgstr "Saturs"
+
+msgid "previous page"
+msgstr "iepriekšējā lapa"
+
+msgid "Download notebook file"
+msgstr "Lejupielādēt piezīmju grāmatiņu"
+
+msgid "Copyright"
+msgstr "Autortiesības"
+
+msgid "Download this page"
+msgstr "Lejupielādējiet šo lapu"
+
+msgid "Source repository"
+msgstr "Avota krātuve"
+
+msgid "By"
+msgstr "Autors"
+
+msgid "repository"
+msgstr "krātuve"
+
+msgid "Last updated on"
+msgstr "Pēdējoreiz atjaunināts"
+
+msgid "Toggle navigation"
+msgstr "Pārslēgt navigāciju"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfinksa grāmatas tēma"
+
+msgid "suggest edit"
+msgstr "ieteikt rediģēt"
+
+msgid "Open an issue"
+msgstr "Atveriet problēmu"
+
+msgid "Launch"
+msgstr "Uzsākt"
+
+msgid "Fullscreen mode"
+msgstr "Pilnekrāna režīms"
+
+msgid "Edit this page"
+msgstr "Rediģēt šo lapu"
+
+msgid "By the"
+msgstr "Ar"
+
+msgid "next page"
+msgstr "nākamā lapaspuse"
diff --git a/_static/locales/ml/LC_MESSAGES/booktheme.mo b/_static/locales/ml/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..2736e8fcf6f9e923c2403307f0b366086d37b335
GIT binary patch
literal 1883
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zPi^^*-^U&+<PC{?!kP;{8$!>l4{_?&D7b7K<UJfw{;oBjg<Pck-@a7utgqVze>D1k
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W+5FkQ^s?wV7=JSkIl3Km4aE({iDO&<

literal 0
HcmV?d00001

diff --git a/_static/locales/ml/LC_MESSAGES/booktheme.po b/_static/locales/ml/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..d471277d60
--- /dev/null
+++ b/_static/locales/ml/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ml\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
+
+msgid "Theme by the"
+msgstr "പ്രമേയം"
+
+msgid "Download source file"
+msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
+
+msgid "open issue"
+msgstr "തുറന്ന പ്രശ്നം"
+
+msgid "previous page"
+msgstr "മുൻപത്തെ താൾ"
+
+msgid "Download notebook file"
+msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക"
+
+msgid "Copyright"
+msgstr "പകർപ്പവകാശം"
+
+msgid "Download this page"
+msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
+
+msgid "Source repository"
+msgstr "ഉറവിട ശേഖരം"
+
+msgid "By"
+msgstr "എഴുതിയത്"
+
+msgid "Last updated on"
+msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്"
+
+msgid "Toggle navigation"
+msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
+
+msgid "Sphinx Book Theme"
+msgstr "സ്ഫിങ്ക്സ് പുസ്തക തീം"
+
+msgid "suggest edit"
+msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക"
+
+msgid "Open an issue"
+msgstr "ഒരു പ്രശ്നം തുറക്കുക"
+
+msgid "Launch"
+msgstr "സമാരംഭിക്കുക"
+
+msgid "Edit this page"
+msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
+
+msgid "By the"
+msgstr "എഴുതിയത്"
+
+msgid "next page"
+msgstr "അടുത്ത പേജ്"
diff --git a/_static/locales/mr/LC_MESSAGES/booktheme.mo b/_static/locales/mr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..fe530100d7715cdc19a6f9db33a971665835f3c4
GIT binary patch
literal 1674
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literal 0
HcmV?d00001

diff --git a/_static/locales/mr/LC_MESSAGES/booktheme.po b/_static/locales/mr/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..f3694acfa5
--- /dev/null
+++ b/_static/locales/mr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: mr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "पीडीएफवर मुद्रित करा"
+
+msgid "Theme by the"
+msgstr "द्वारा थीम"
+
+msgid "Download source file"
+msgstr "स्त्रोत फाइल डाउनलोड करा"
+
+msgid "open issue"
+msgstr "खुला मुद्दा"
+
+msgid "previous page"
+msgstr "मागील पान"
+
+msgid "Download notebook file"
+msgstr "नोटबुक फाईल डाउनलोड करा"
+
+msgid "Copyright"
+msgstr "कॉपीराइट"
+
+msgid "Download this page"
+msgstr "हे पृष्ठ डाउनलोड करा"
+
+msgid "Source repository"
+msgstr "स्त्रोत भांडार"
+
+msgid "By"
+msgstr "द्वारा"
+
+msgid "Last updated on"
+msgstr "अखेरचे अद्यतनित"
+
+msgid "Toggle navigation"
+msgstr "नेव्हिगेशन टॉगल करा"
+
+msgid "Sphinx Book Theme"
+msgstr "स्फिंक्स बुक थीम"
+
+msgid "suggest edit"
+msgstr "संपादन सुचवा"
+
+msgid "Open an issue"
+msgstr "एक मुद्दा उघडा"
+
+msgid "Launch"
+msgstr "लाँच करा"
+
+msgid "Edit this page"
+msgstr "हे पृष्ठ संपादित करा"
+
+msgid "By the"
+msgstr "द्वारा"
+
+msgid "next page"
+msgstr "पुढील पृष्ठ"
diff --git a/_static/locales/ms/LC_MESSAGES/booktheme.mo b/_static/locales/ms/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..f02603fa2522a40060bd3f1b5d65052c77530de6
GIT binary patch
literal 1213
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zAr~BvaFnsG^hhh0!@1tw9jM|>;2yki7=)(TY<OX)9L&@d%}AYMC3$t|i|6R7w880t
eV9EtF-J(E&`s>V{?8_pQ^c*8Iog%4v$iD&q$RjNP

literal 0
HcmV?d00001

diff --git a/_static/locales/ms/LC_MESSAGES/booktheme.po b/_static/locales/ms/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..65b7c6026a
--- /dev/null
+++ b/_static/locales/ms/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ms\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
+
+msgid "Theme by the"
+msgstr "Tema oleh"
+
+msgid "Download source file"
+msgstr "Muat turun fail sumber"
+
+msgid "open issue"
+msgstr "isu terbuka"
+
+msgid "previous page"
+msgstr "halaman sebelumnya"
+
+msgid "Download notebook file"
+msgstr "Muat turun fail buku nota"
+
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Download this page"
+msgstr "Muat turun halaman ini"
+
+msgid "Source repository"
+msgstr "Repositori sumber"
+
+msgid "By"
+msgstr "Oleh"
+
+msgid "Last updated on"
+msgstr "Terakhir dikemas kini pada"
+
+msgid "Toggle navigation"
+msgstr "Togol navigasi"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema Buku Sphinx"
+
+msgid "suggest edit"
+msgstr "cadangkan edit"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
+
+msgid "Launch"
+msgstr "Lancarkan"
+
+msgid "Edit this page"
+msgstr "Edit halaman ini"
+
+msgid "By the"
+msgstr "Oleh"
+
+msgid "next page"
+msgstr "muka surat seterusnya"
diff --git a/_static/locales/nl/LC_MESSAGES/booktheme.mo b/_static/locales/nl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..e59e7ecb308a7648cd23aa6342a9ad98a61d0009
GIT binary patch
literal 1356
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z+=^}4Zo{ONva*O<VgXT@!sRMK8R4wH1VL!1jf>n--8-OUjI=r94V1Y}`N=IHv19Ut
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literal 0
HcmV?d00001

diff --git a/_static/locales/nl/LC_MESSAGES/booktheme.po b/_static/locales/nl/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..71bd1cda70
--- /dev/null
+++ b/_static/locales/nl/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: nl\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Afdrukken naar pdf"
+
+msgid "Theme by the"
+msgstr "Thema door de"
+
+msgid "Download source file"
+msgstr "Download het bronbestand"
+
+msgid "open issue"
+msgstr "open probleem"
+
+msgid "Contents"
+msgstr "Inhoud"
+
+msgid "previous page"
+msgstr "vorige pagina"
+
+msgid "Download notebook file"
+msgstr "Download notebookbestand"
+
+msgid "Copyright"
+msgstr "auteursrechten"
+
+msgid "Download this page"
+msgstr "Download deze pagina"
+
+msgid "Source repository"
+msgstr "Bronopslagplaats"
+
+msgid "By"
+msgstr "Door"
+
+msgid "repository"
+msgstr "repository"
+
+msgid "Last updated on"
+msgstr "Laatst geupdate op"
+
+msgid "Toggle navigation"
+msgstr "Schakel navigatie"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx-boekthema"
+
+msgid "suggest edit"
+msgstr "suggereren bewerken"
+
+msgid "Open an issue"
+msgstr "Open een probleem"
+
+msgid "Launch"
+msgstr "Lancering"
+
+msgid "Fullscreen mode"
+msgstr "Volledig scherm"
+
+msgid "Edit this page"
+msgstr "bewerk deze pagina"
+
+msgid "By the"
+msgstr "Door de"
+
+msgid "next page"
+msgstr "volgende bladzijde"
diff --git a/_static/locales/no/LC_MESSAGES/booktheme.mo b/_static/locales/no/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..6cd15c88de675226c00ca4d0430171075e5559ff
GIT binary patch
literal 1317
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literal 0
HcmV?d00001

diff --git a/_static/locales/no/LC_MESSAGES/booktheme.po b/_static/locales/no/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..b21346a512
--- /dev/null
+++ b/_static/locales/no/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: no\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Skriv ut til PDF"
+
+msgid "Theme by the"
+msgstr "Tema av"
+
+msgid "Download source file"
+msgstr "Last ned kildefilen"
+
+msgid "open issue"
+msgstr "åpent nummer"
+
+msgid "Contents"
+msgstr "Innhold"
+
+msgid "previous page"
+msgstr "forrige side"
+
+msgid "Download notebook file"
+msgstr "Last ned notatbokfilen"
+
+msgid "Copyright"
+msgstr "opphavsrett"
+
+msgid "Download this page"
+msgstr "Last ned denne siden"
+
+msgid "Source repository"
+msgstr "Kildedepot"
+
+msgid "By"
+msgstr "Av"
+
+msgid "repository"
+msgstr "oppbevaringssted"
+
+msgid "Last updated on"
+msgstr "Sist oppdatert den"
+
+msgid "Toggle navigation"
+msgstr "Bytt navigasjon"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx boktema"
+
+msgid "suggest edit"
+msgstr "foreslå redigering"
+
+msgid "Open an issue"
+msgstr "Åpne et problem"
+
+msgid "Launch"
+msgstr "Start"
+
+msgid "Fullscreen mode"
+msgstr "Fullskjerm-modus"
+
+msgid "Edit this page"
+msgstr "Rediger denne siden"
+
+msgid "By the"
+msgstr "Ved"
+
+msgid "next page"
+msgstr "neste side"
diff --git a/_static/locales/pl/LC_MESSAGES/booktheme.mo b/_static/locales/pl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..9ebb584f77091f5666db4194ecd4f707396cbbca
GIT binary patch
literal 1371
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literal 0
HcmV?d00001

diff --git a/_static/locales/pl/LC_MESSAGES/booktheme.po b/_static/locales/pl/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..1b7233f4ff
--- /dev/null
+++ b/_static/locales/pl/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: pl\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Drukuj do PDF"
+
+msgid "Theme by the"
+msgstr "Motyw autorstwa"
+
+msgid "Download source file"
+msgstr "Pobierz plik źródłowy"
+
+msgid "open issue"
+msgstr "otwarty problem"
+
+msgid "Contents"
+msgstr "Zawartość"
+
+msgid "previous page"
+msgstr "Poprzednia strona"
+
+msgid "Download notebook file"
+msgstr "Pobierz plik notatnika"
+
+msgid "Copyright"
+msgstr "prawa autorskie"
+
+msgid "Download this page"
+msgstr "Pobierz tę stronę"
+
+msgid "Source repository"
+msgstr "Repozytorium źródłowe"
+
+msgid "By"
+msgstr "Przez"
+
+msgid "repository"
+msgstr "magazyn"
+
+msgid "Last updated on"
+msgstr "Ostatnia aktualizacja"
+
+msgid "Toggle navigation"
+msgstr "Przełącz nawigację"
+
+msgid "Sphinx Book Theme"
+msgstr "Motyw książki Sphinx"
+
+msgid "suggest edit"
+msgstr "zaproponuj edycję"
+
+msgid "Open an issue"
+msgstr "Otwórz problem"
+
+msgid "Launch"
+msgstr "Uruchomić"
+
+msgid "Fullscreen mode"
+msgstr "Pełny ekran"
+
+msgid "Edit this page"
+msgstr "Edytuj tę strone"
+
+msgid "By the"
+msgstr "Przez"
+
+msgid "next page"
+msgstr "Następna strona"
diff --git a/_static/locales/pt/LC_MESSAGES/booktheme.mo b/_static/locales/pt/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d0ddb8728e1d5ef72dddc1537f66aa32251a83c8
GIT binary patch
literal 1364
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literal 0
HcmV?d00001

diff --git a/_static/locales/pt/LC_MESSAGES/booktheme.po b/_static/locales/pt/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..1b27314d69
--- /dev/null
+++ b/_static/locales/pt/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: pt\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimir em PDF"
+
+msgid "Theme by the"
+msgstr "Tema por"
+
+msgid "Download source file"
+msgstr "Baixar arquivo fonte"
+
+msgid "open issue"
+msgstr "questão aberta"
+
+msgid "Contents"
+msgstr "Conteúdo"
+
+msgid "previous page"
+msgstr "página anterior"
+
+msgid "Download notebook file"
+msgstr "Baixar arquivo de notebook"
+
+msgid "Copyright"
+msgstr "direito autoral"
+
+msgid "Download this page"
+msgstr "Baixe esta página"
+
+msgid "Source repository"
+msgstr "Repositório fonte"
+
+msgid "By"
+msgstr "De"
+
+msgid "repository"
+msgstr "repositório"
+
+msgid "Last updated on"
+msgstr "Última atualização em"
+
+msgid "Toggle navigation"
+msgstr "Alternar de navegação"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema do livro Sphinx"
+
+msgid "suggest edit"
+msgstr "sugerir edição"
+
+msgid "Open an issue"
+msgstr "Abra um problema"
+
+msgid "Launch"
+msgstr "Lançamento"
+
+msgid "Fullscreen mode"
+msgstr "Modo tela cheia"
+
+msgid "Edit this page"
+msgstr "Edite essa página"
+
+msgid "By the"
+msgstr "Pelo"
+
+msgid "next page"
+msgstr "próxima página"
diff --git a/_static/locales/ro/LC_MESSAGES/booktheme.mo b/_static/locales/ro/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..3c36ab1df7c589ad82614599b8c91f072a25d4a6
GIT binary patch
literal 1390
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literal 0
HcmV?d00001

diff --git a/_static/locales/ro/LC_MESSAGES/booktheme.po b/_static/locales/ro/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..1783ad2c4f
--- /dev/null
+++ b/_static/locales/ro/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ro\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimați în PDF"
+
+msgid "Theme by the"
+msgstr "Tema de"
+
+msgid "Download source file"
+msgstr "Descărcați fișierul sursă"
+
+msgid "open issue"
+msgstr "problema deschisă"
+
+msgid "Contents"
+msgstr "Cuprins"
+
+msgid "previous page"
+msgstr "pagina anterioară"
+
+msgid "Download notebook file"
+msgstr "Descărcați fișierul notebook"
+
+msgid "Copyright"
+msgstr "Drepturi de autor"
+
+msgid "Download this page"
+msgstr "Descarcă această pagină"
+
+msgid "Source repository"
+msgstr "Depozit sursă"
+
+msgid "By"
+msgstr "De"
+
+msgid "repository"
+msgstr "repertoriu"
+
+msgid "Last updated on"
+msgstr "Ultima actualizare la"
+
+msgid "Toggle navigation"
+msgstr "Comutare navigare"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema Sphinx Book"
+
+msgid "suggest edit"
+msgstr "sugerează editare"
+
+msgid "Open an issue"
+msgstr "Deschideți o problemă"
+
+msgid "Launch"
+msgstr "Lansa"
+
+msgid "Fullscreen mode"
+msgstr "Modul ecran întreg"
+
+msgid "Edit this page"
+msgstr "Editați această pagină"
+
+msgid "By the"
+msgstr "Langa"
+
+msgid "next page"
+msgstr "pagina următoare"
diff --git a/_static/locales/ru/LC_MESSAGES/booktheme.mo b/_static/locales/ru/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..6b8ca41f36ebf869818399a9584cdb15619bea78
GIT binary patch
literal 1722
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literal 0
HcmV?d00001

diff --git a/_static/locales/ru/LC_MESSAGES/booktheme.po b/_static/locales/ru/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..b1176b7ae7
--- /dev/null
+++ b/_static/locales/ru/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ru\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Распечатать в PDF"
+
+msgid "Theme by the"
+msgstr "Тема от"
+
+msgid "Download source file"
+msgstr "Скачать исходный файл"
+
+msgid "open issue"
+msgstr "открытый вопрос"
+
+msgid "Contents"
+msgstr "Содержание"
+
+msgid "previous page"
+msgstr "Предыдущая страница"
+
+msgid "Download notebook file"
+msgstr "Скачать файл записной книжки"
+
+msgid "Copyright"
+msgstr "авторское право"
+
+msgid "Download this page"
+msgstr "Загрузите эту страницу"
+
+msgid "Source repository"
+msgstr "Исходный репозиторий"
+
+msgid "By"
+msgstr "По"
+
+msgid "repository"
+msgstr "хранилище"
+
+msgid "Last updated on"
+msgstr "Последнее обновление"
+
+msgid "Toggle navigation"
+msgstr "Переключить навигацию"
+
+msgid "Sphinx Book Theme"
+msgstr "Тема книги Сфинкс"
+
+msgid "suggest edit"
+msgstr "предложить редактировать"
+
+msgid "Open an issue"
+msgstr "Открыть вопрос"
+
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Fullscreen mode"
+msgstr "Полноэкранный режим"
+
+msgid "Edit this page"
+msgstr "Редактировать эту страницу"
+
+msgid "By the"
+msgstr "Посредством"
+
+msgid "next page"
+msgstr "Следующая страница"
diff --git a/_static/locales/sk/LC_MESSAGES/booktheme.mo b/_static/locales/sk/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..59bd0ddfa341477cf5ccfdc88f4c3e6127046f7a
GIT binary patch
literal 1393
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Di}h+h

literal 0
HcmV?d00001

diff --git a/_static/locales/sk/LC_MESSAGES/booktheme.po b/_static/locales/sk/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..650128817a
--- /dev/null
+++ b/_static/locales/sk/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: sk\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Tlač do PDF"
+
+msgid "Theme by the"
+msgstr "Téma od"
+
+msgid "Download source file"
+msgstr "Stiahnite si zdrojový súbor"
+
+msgid "open issue"
+msgstr "otvorené vydanie"
+
+msgid "Contents"
+msgstr "Obsah"
+
+msgid "previous page"
+msgstr "predchádzajúca strana"
+
+msgid "Download notebook file"
+msgstr "Stiahnite si zošit"
+
+msgid "Copyright"
+msgstr "Autorské práva"
+
+msgid "Download this page"
+msgstr "Stiahnite si túto stránku"
+
+msgid "Source repository"
+msgstr "Zdrojové úložisko"
+
+msgid "By"
+msgstr "Autor:"
+
+msgid "repository"
+msgstr "Úložisko"
+
+msgid "Last updated on"
+msgstr "Posledná aktualizácia dňa"
+
+msgid "Toggle navigation"
+msgstr "Prepnúť navigáciu"
+
+msgid "Sphinx Book Theme"
+msgstr "Téma knihy Sfinga"
+
+msgid "suggest edit"
+msgstr "navrhnúť úpravu"
+
+msgid "Open an issue"
+msgstr "Otvorte problém"
+
+msgid "Launch"
+msgstr "Spustiť"
+
+msgid "Fullscreen mode"
+msgstr "Režim celej obrazovky"
+
+msgid "Edit this page"
+msgstr "Upraviť túto stránku"
+
+msgid "By the"
+msgstr "Podľa"
+
+msgid "next page"
+msgstr "ďalšia strana"
diff --git a/_static/locales/sl/LC_MESSAGES/booktheme.mo b/_static/locales/sl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..87bf26de683cb18c73bd23c2b4c57ef6a02545ec
GIT binary patch
literal 1374
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L??Y>WljW5^x#&@4

literal 0
HcmV?d00001

diff --git a/_static/locales/sl/LC_MESSAGES/booktheme.po b/_static/locales/sl/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..3c7e3a8665
--- /dev/null
+++ b/_static/locales/sl/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: sl\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Natisni v PDF"
+
+msgid "Theme by the"
+msgstr "Tema avtorja"
+
+msgid "Download source file"
+msgstr "Prenesite izvorno datoteko"
+
+msgid "open issue"
+msgstr "odprto vprašanje"
+
+msgid "Contents"
+msgstr "Vsebina"
+
+msgid "previous page"
+msgstr "Prejšnja stran"
+
+msgid "Download notebook file"
+msgstr "Prenesite datoteko zvezka"
+
+msgid "Copyright"
+msgstr "avtorske pravice"
+
+msgid "Download this page"
+msgstr "Prenesite to stran"
+
+msgid "Source repository"
+msgstr "Izvorno skladišče"
+
+msgid "By"
+msgstr "Avtor"
+
+msgid "repository"
+msgstr "odlagališče"
+
+msgid "Last updated on"
+msgstr "Nazadnje posodobljeno dne"
+
+msgid "Toggle navigation"
+msgstr "Preklopi navigacijo"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema knjige Sphinx"
+
+msgid "suggest edit"
+msgstr "predlagajte urejanje"
+
+msgid "Open an issue"
+msgstr "Odprite številko"
+
+msgid "Launch"
+msgstr "Kosilo"
+
+msgid "Fullscreen mode"
+msgstr "Celozaslonski način"
+
+msgid "Edit this page"
+msgstr "Uredite to stran"
+
+msgid "By the"
+msgstr "Avtor"
+
+msgid "next page"
+msgstr "Naslednja stran"
diff --git a/_static/locales/sr/LC_MESSAGES/booktheme.mo b/_static/locales/sr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..ec740f4852f3973fa72ed0c7f7cf59273b8dba41
GIT binary patch
literal 1679
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z?5bis%bZ~T%6x(O`9pjddmmPcpW4UgQMe!Oh2wA^oPdYnQTQ~h!b9*KcmNuB5XJ>R
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HD*E*gL}ZXP

literal 0
HcmV?d00001

diff --git a/_static/locales/sr/LC_MESSAGES/booktheme.po b/_static/locales/sr/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..773b8adae8
--- /dev/null
+++ b/_static/locales/sr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: sr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Испис у ПДФ"
+
+msgid "Theme by the"
+msgstr "Тхеме би"
+
+msgid "Download source file"
+msgstr "Преузми изворну датотеку"
+
+msgid "open issue"
+msgstr "отворено издање"
+
+msgid "Contents"
+msgstr "Садржај"
+
+msgid "previous page"
+msgstr "Претходна страница"
+
+msgid "Download notebook file"
+msgstr "Преузмите датотеку бележнице"
+
+msgid "Copyright"
+msgstr "Ауторско право"
+
+msgid "Download this page"
+msgstr "Преузмите ову страницу"
+
+msgid "Source repository"
+msgstr "Изворно спремиште"
+
+msgid "By"
+msgstr "Од стране"
+
+msgid "repository"
+msgstr "спремиште"
+
+msgid "Last updated on"
+msgstr "Последње ажурирање"
+
+msgid "Toggle navigation"
+msgstr "Укључи / искључи навигацију"
+
+msgid "Sphinx Book Theme"
+msgstr "Тема књиге Спхинк"
+
+msgid "suggest edit"
+msgstr "предложи уређивање"
+
+msgid "Open an issue"
+msgstr "Отворите издање"
+
+msgid "Launch"
+msgstr "Лансирање"
+
+msgid "Fullscreen mode"
+msgstr "Режим целог екрана"
+
+msgid "Edit this page"
+msgstr "Уредите ову страницу"
+
+msgid "By the"
+msgstr "Од"
+
+msgid "next page"
+msgstr "Следећа страна"
diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.mo b/_static/locales/sv/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..b07dc76ff21128244172d2e415cc899555d8b49d
GIT binary patch
literal 1365
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EA0pCHFaQ7m

literal 0
HcmV?d00001

diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.po b/_static/locales/sv/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..bcac54c07b
--- /dev/null
+++ b/_static/locales/sv/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: sv\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Skriv ut till PDF"
+
+msgid "Theme by the"
+msgstr "Tema av"
+
+msgid "Download source file"
+msgstr "Ladda ner källfil"
+
+msgid "open issue"
+msgstr "öppna problemrapport"
+
+msgid "Contents"
+msgstr "Innehåll"
+
+msgid "previous page"
+msgstr "föregående sida"
+
+msgid "Download notebook file"
+msgstr "Ladda ner notebook-fil"
+
+msgid "Copyright"
+msgstr "Upphovsrätt"
+
+msgid "Download this page"
+msgstr "Ladda ner den här sidan"
+
+msgid "Source repository"
+msgstr "Källkodsrepositorium"
+
+msgid "By"
+msgstr "Av"
+
+msgid "repository"
+msgstr "repositorium"
+
+msgid "Last updated on"
+msgstr "Senast uppdaterad den"
+
+msgid "Toggle navigation"
+msgstr "Växla navigering"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx Boktema"
+
+msgid "suggest edit"
+msgstr "föreslå ändring"
+
+msgid "Open an issue"
+msgstr "Öppna en problemrapport"
+
+msgid "Launch"
+msgstr "Öppna"
+
+msgid "Fullscreen mode"
+msgstr "Fullskärmsläge"
+
+msgid "Edit this page"
+msgstr "Redigera den här sidan"
+
+msgid "By the"
+msgstr "Av den"
+
+msgid "next page"
+msgstr "nästa sida"
diff --git a/_static/locales/ta/LC_MESSAGES/booktheme.mo b/_static/locales/ta/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..29f52e1f6f1ec96aceb0f883d8ccc82c23eb35c2
GIT binary patch
literal 1928
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literal 0
HcmV?d00001

diff --git a/_static/locales/ta/LC_MESSAGES/booktheme.po b/_static/locales/ta/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..b48bdfaf17
--- /dev/null
+++ b/_static/locales/ta/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ta\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF இல் அச்சிடுக"
+
+msgid "Theme by the"
+msgstr "வழங்கிய தீம்"
+
+msgid "Download source file"
+msgstr "மூல கோப்பைப் பதிவிறக்குக"
+
+msgid "open issue"
+msgstr "திறந்த பிரச்சினை"
+
+msgid "previous page"
+msgstr "முந்தைய பக்கம்"
+
+msgid "Download notebook file"
+msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்"
+
+msgid "Copyright"
+msgstr "பதிப்புரிமை"
+
+msgid "Download this page"
+msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
+
+msgid "Source repository"
+msgstr "மூல களஞ்சியம்"
+
+msgid "By"
+msgstr "வழங்கியவர்"
+
+msgid "Last updated on"
+msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
+
+msgid "Toggle navigation"
+msgstr "வழிசெலுத்தலை நிலைமாற்று"
+
+msgid "Sphinx Book Theme"
+msgstr "ஸ்பிங்க்ஸ் புத்தக தீம்"
+
+msgid "suggest edit"
+msgstr "திருத்த பரிந்துரைக்கவும்"
+
+msgid "Open an issue"
+msgstr "சிக்கலைத் திறக்கவும்"
+
+msgid "Launch"
+msgstr "தொடங்க"
+
+msgid "Edit this page"
+msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
+
+msgid "By the"
+msgstr "மூலம்"
+
+msgid "next page"
+msgstr "அடுத்த பக்கம்"
diff --git a/_static/locales/te/LC_MESSAGES/booktheme.mo b/_static/locales/te/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..0a5f4b46adfda1551ae6791c3c3782525b61be04
GIT binary patch
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zrpf6>XY=H3-bW;Qrf>v2>%ZN4n4aM|U<|2-ZBn^mBghuhM0)Dv2+@ei()B(V2&(za
uuMrF7ToguSy%w`N&3+IHSt#2LVBfiP)B5iT;9Jx)h5&elIS4O(ZT|-CPABOA

literal 0
HcmV?d00001

diff --git a/_static/locales/te/LC_MESSAGES/booktheme.po b/_static/locales/te/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..952278f5f7
--- /dev/null
+++ b/_static/locales/te/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: te\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF కి ముద్రించండి"
+
+msgid "Theme by the"
+msgstr "ద్వారా థీమ్"
+
+msgid "Download source file"
+msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి"
+
+msgid "open issue"
+msgstr "ఓపెన్ ఇష్యూ"
+
+msgid "previous page"
+msgstr "ముందు పేజి"
+
+msgid "Download notebook file"
+msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి"
+
+msgid "Copyright"
+msgstr "కాపీరైట్"
+
+msgid "Download this page"
+msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
+
+msgid "Source repository"
+msgstr "మూల రిపోజిటరీ"
+
+msgid "By"
+msgstr "ద్వారా"
+
+msgid "Last updated on"
+msgstr "చివరిగా నవీకరించబడింది"
+
+msgid "Toggle navigation"
+msgstr "నావిగేషన్‌ను టోగుల్ చేయండి"
+
+msgid "Sphinx Book Theme"
+msgstr "సింహిక పుస్తక థీమ్"
+
+msgid "suggest edit"
+msgstr "సవరించమని సూచించండి"
+
+msgid "Open an issue"
+msgstr "సమస్యను తెరవండి"
+
+msgid "Launch"
+msgstr "ప్రారంభించండి"
+
+msgid "Edit this page"
+msgstr "ఈ పేజీని సవరించండి"
+
+msgid "By the"
+msgstr "ద్వారా"
+
+msgid "next page"
+msgstr "తరువాతి పేజీ"
diff --git a/_static/locales/tg/LC_MESSAGES/booktheme.mo b/_static/locales/tg/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..b21c6c6340194fdf35f7e5660deb42479c8dbff9
GIT binary patch
literal 1628
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literal 0
HcmV?d00001

diff --git a/_static/locales/tg/LC_MESSAGES/booktheme.po b/_static/locales/tg/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..c33dc42172
--- /dev/null
+++ b/_static/locales/tg/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: tg\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Чоп ба PDF"
+
+msgid "Theme by the"
+msgstr "Мавзӯъи аз"
+
+msgid "Download source file"
+msgstr "Файли манбаъро зеркашӣ кунед"
+
+msgid "open issue"
+msgstr "барориши кушод"
+
+msgid "Contents"
+msgstr "Мундариҷа"
+
+msgid "previous page"
+msgstr "саҳифаи қаблӣ"
+
+msgid "Download notebook file"
+msgstr "Файли дафтарро зеркашӣ кунед"
+
+msgid "Copyright"
+msgstr "Ҳуқуқи муаллиф"
+
+msgid "Download this page"
+msgstr "Ин саҳифаро зеркашӣ кунед"
+
+msgid "Source repository"
+msgstr "Анбори манбаъ"
+
+msgid "By"
+msgstr "Бо"
+
+msgid "repository"
+msgstr "анбор"
+
+msgid "Last updated on"
+msgstr "Last навсозӣ дар"
+
+msgid "Toggle navigation"
+msgstr "Гузаришро иваз кунед"
+
+msgid "Sphinx Book Theme"
+msgstr "Сфинкс Мавзӯи китоб"
+
+msgid "suggest edit"
+msgstr "пешниҳод вироиш"
+
+msgid "Open an issue"
+msgstr "Масъаларо кушоед"
+
+msgid "Launch"
+msgstr "Оғоз"
+
+msgid "Fullscreen mode"
+msgstr "Ҳолати экрани пурра"
+
+msgid "Edit this page"
+msgstr "Ин саҳифаро таҳрир кунед"
+
+msgid "By the"
+msgstr "Бо"
+
+msgid "next page"
+msgstr "саҳифаи оянда"
diff --git a/_static/locales/th/LC_MESSAGES/booktheme.mo b/_static/locales/th/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..abede98aa11b163e580a26b545980ace31e61ccf
GIT binary patch
literal 1766
zcma)*-)|K~6vqcarB^@&)CU_K663GrYB9uM>wQ7mgal$EMW46#4trN`XEwWgD~&H;
zNI=2(Qi7!k28|(VOaz2Z{{sC3d@_d21Bp*Q8{hn#*{fZQQ8%6a%*>u2-*e9G?VVdL
zD4xey<E$T9PqNN$;>EM|9;NtGW4!Kz+u&BX3y#5Y_$YiD?uH$>6TSg=Km#9y)rhB|
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zVo#A&Zbczg{j*X10nt=)GI&y-i8VB>&j$Yu0#;+cXcn64J%wUT=~$4O>SO5=h=^<P
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literal 0
HcmV?d00001

diff --git a/_static/locales/th/LC_MESSAGES/booktheme.po b/_static/locales/th/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..9d24294a7f
--- /dev/null
+++ b/_static/locales/th/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: th\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "พิมพ์เป็น PDF"
+
+msgid "Theme by the"
+msgstr "ธีมโดย"
+
+msgid "Download source file"
+msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
+
+msgid "open issue"
+msgstr "เปิดปัญหา"
+
+msgid "Contents"
+msgstr "สารบัญ"
+
+msgid "previous page"
+msgstr "หน้าที่แล้ว"
+
+msgid "Download notebook file"
+msgstr "ดาวน์โหลดไฟล์สมุดบันทึก"
+
+msgid "Copyright"
+msgstr "ลิขสิทธิ์"
+
+msgid "Download this page"
+msgstr "ดาวน์โหลดหน้านี้"
+
+msgid "Source repository"
+msgstr "ที่เก็บซอร์ส"
+
+msgid "By"
+msgstr "โดย"
+
+msgid "repository"
+msgstr "ที่เก็บ"
+
+msgid "Last updated on"
+msgstr "ปรับปรุงล่าสุดเมื่อ"
+
+msgid "Toggle navigation"
+msgstr "ไม่ต้องสลับช่องทาง"
+
+msgid "Sphinx Book Theme"
+msgstr "ธีมหนังสือสฟิงซ์"
+
+msgid "suggest edit"
+msgstr "แนะนำแก้ไข"
+
+msgid "Open an issue"
+msgstr "เปิดปัญหา"
+
+msgid "Launch"
+msgstr "เปิด"
+
+msgid "Fullscreen mode"
+msgstr "โหมดเต็มหน้าจอ"
+
+msgid "Edit this page"
+msgstr "แก้ไขหน้านี้"
+
+msgid "By the"
+msgstr "โดย"
+
+msgid "next page"
+msgstr "หน้าต่อไป"
diff --git a/_static/locales/tl/LC_MESSAGES/booktheme.mo b/_static/locales/tl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..8df1b73310e0c606251d1abff7e6033d1f6b273f
GIT binary patch
literal 1273
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literal 0
HcmV?d00001

diff --git a/_static/locales/tl/LC_MESSAGES/booktheme.po b/_static/locales/tl/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..20e0d07ce5
--- /dev/null
+++ b/_static/locales/tl/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: tl\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "I-print sa PDF"
+
+msgid "Theme by the"
+msgstr "Tema ng"
+
+msgid "Download source file"
+msgstr "Mag-download ng file ng pinagmulan"
+
+msgid "open issue"
+msgstr "bukas na isyu"
+
+msgid "previous page"
+msgstr "Nakaraang pahina"
+
+msgid "Download notebook file"
+msgstr "Mag-download ng file ng notebook"
+
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "I-download ang pahinang ito"
+
+msgid "Source repository"
+msgstr "Pinagmulan ng imbakan"
+
+msgid "By"
+msgstr "Ni"
+
+msgid "Last updated on"
+msgstr "Huling na-update noong"
+
+msgid "Toggle navigation"
+msgstr "I-toggle ang pag-navigate"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema ng Sphinx Book"
+
+msgid "suggest edit"
+msgstr "iminumungkahi i-edit"
+
+msgid "Open an issue"
+msgstr "Magbukas ng isyu"
+
+msgid "Launch"
+msgstr "Ilunsad"
+
+msgid "Edit this page"
+msgstr "I-edit ang pahinang ito"
+
+msgid "By the"
+msgstr "Sa pamamagitan ng"
+
+msgid "next page"
+msgstr "Susunod na pahina"
diff --git a/_static/locales/tr/LC_MESSAGES/booktheme.mo b/_static/locales/tr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..029ae18afb5360a8c238a052e8d3971761759d3d
GIT binary patch
literal 1373
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zMVT%slPZNJnur1kHxWf7in~bEh>C&=i7J19yL{j6T0W2%?d)gY?96-L@67yl{`g~s
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zo6h$Ap{&BCl*;`;;xXGI&@B^nMMIv5kwyPFiiuV?c-PnoHwMdQd*;PnG+qT~k=xL=
f7*f}zXhDUuwVFPIQ2d!&RZ>YE8iRKH#ZJBgJpfrQ

literal 0
HcmV?d00001

diff --git a/_static/locales/tr/LC_MESSAGES/booktheme.po b/_static/locales/tr/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..a77eb0273f
--- /dev/null
+++ b/_static/locales/tr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: tr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF olarak yazdır"
+
+msgid "Theme by the"
+msgstr "Tarafından tema"
+
+msgid "Download source file"
+msgstr "Kaynak dosyayı indirin"
+
+msgid "open issue"
+msgstr "Açık konu"
+
+msgid "Contents"
+msgstr "İçindekiler"
+
+msgid "previous page"
+msgstr "önceki sayfa"
+
+msgid "Download notebook file"
+msgstr "Defter dosyasını indirin"
+
+msgid "Copyright"
+msgstr "Telif hakkı"
+
+msgid "Download this page"
+msgstr "Bu sayfayı indirin"
+
+msgid "Source repository"
+msgstr "Kaynak kod deposu"
+
+msgid "By"
+msgstr "Tarafından"
+
+msgid "repository"
+msgstr "depo"
+
+msgid "Last updated on"
+msgstr "Son güncelleme tarihi"
+
+msgid "Toggle navigation"
+msgstr "Gezinmeyi değiştir"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfenks Kitap Teması"
+
+msgid "suggest edit"
+msgstr "düzenleme öner"
+
+msgid "Open an issue"
+msgstr "Bir sorunu açın"
+
+msgid "Launch"
+msgstr "Başlatmak"
+
+msgid "Fullscreen mode"
+msgstr "Tam ekran modu"
+
+msgid "Edit this page"
+msgstr "Bu sayfayı düzenle"
+
+msgid "By the"
+msgstr "Tarafından"
+
+msgid "next page"
+msgstr "sonraki Sayfa"
diff --git a/_static/locales/uk/LC_MESSAGES/booktheme.mo b/_static/locales/uk/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..16ab78909cfbaba7fa199f47fdfc2934426ac699
GIT binary patch
literal 1681
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zZps@$UG17<lSCD@&uD8wEJM#%Vyqfigx)!hC-r(<iImcE##EKK;>A`bVb!y$DvicD
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zh*pwW{vziurkM*@FJB$o{eEubY#|r6I5iuplC&t`Oj!2<Jt`|TFN&2dU!NK;UfA`E
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z9(7$q(09~EfF`ZE2A7mZcK`2+9^rzjaHX3z)7!~B2h%!=*c9|lnghL|yA=s%zR*HT
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LPmM*`H%jps*u#;t

literal 0
HcmV?d00001

diff --git a/_static/locales/uk/LC_MESSAGES/booktheme.po b/_static/locales/uk/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..993dd07810
--- /dev/null
+++ b/_static/locales/uk/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: uk\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Друк у форматі PDF"
+
+msgid "Theme by the"
+msgstr "Тема від"
+
+msgid "Download source file"
+msgstr "Завантажити вихідний файл"
+
+msgid "open issue"
+msgstr "відкритий випуск"
+
+msgid "Contents"
+msgstr "Зміст"
+
+msgid "previous page"
+msgstr "Попередня сторінка"
+
+msgid "Download notebook file"
+msgstr "Завантажте файл блокнота"
+
+msgid "Copyright"
+msgstr "Авторське право"
+
+msgid "Download this page"
+msgstr "Завантажте цю сторінку"
+
+msgid "Source repository"
+msgstr "Джерело сховища"
+
+msgid "By"
+msgstr "Автор"
+
+msgid "repository"
+msgstr "сховище"
+
+msgid "Last updated on"
+msgstr "Останнє оновлення:"
+
+msgid "Toggle navigation"
+msgstr "Переключити навігацію"
+
+msgid "Sphinx Book Theme"
+msgstr "Тема книги \"Сфінкс\""
+
+msgid "suggest edit"
+msgstr "запропонувати редагувати"
+
+msgid "Open an issue"
+msgstr "Відкрийте випуск"
+
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Fullscreen mode"
+msgstr "Повноекранний режим"
+
+msgid "Edit this page"
+msgstr "Редагувати цю сторінку"
+
+msgid "By the"
+msgstr "По"
+
+msgid "next page"
+msgstr "Наступна сторінка"
diff --git a/_static/locales/ur/LC_MESSAGES/booktheme.mo b/_static/locales/ur/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..de8c84b935ed5c3db23e304015d45b638a3d2db3
GIT binary patch
literal 1462
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zRwLUoA{Qc+BL{@CNd#$~fM}{TM=rgzQV%n0sfS7&;BP2WpLe~9L#0ZLy!)G(eLtS}
z@uTBCHyGACc;3gei{}G8S6;vi>pu7*_yBwvd<eb@w!uE|FOYJdfXBgJ1iuNM0*`@b
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z*<q$(nr4UVwPc-}YI<4YNfVo&O@o`7X(mmMG*nCOFuiS>NZtNFp)tbr@2L4}dj%B?
z$~?F1e_~CYdU3r0$=I6uq5ePVO_Bn=P}riFSZ}qf6oE57w5w3K+FoX+hEW?y<4|&p
zx|p)Aw=sGx%}Vw#el49X^(ARiaRizwH+vA!fH?=_BQ=JATO9Uo!rm6_g(Z9Fvrf~J
ziFzY}!KTjO`w9hS|3mkKY2Z8hBsWpwH*$FgF5fip{lMp#&N|*Vkp4MHrJJsNw1%8D
c^9?3>eEmE8GP@z_uy-`khW>?G>aA{%rxd0lq5uE@

literal 0
HcmV?d00001

diff --git a/_static/locales/ur/LC_MESSAGES/booktheme.po b/_static/locales/ur/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..2f774267f8
--- /dev/null
+++ b/_static/locales/ur/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ur\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "پی ڈی ایف پرنٹ کریں"
+
+msgid "Theme by the"
+msgstr "کے ذریعہ تھیم"
+
+msgid "Download source file"
+msgstr "سورس فائل ڈاؤن لوڈ کریں"
+
+msgid "open issue"
+msgstr "کھلا مسئلہ"
+
+msgid "previous page"
+msgstr "سابقہ ​​صفحہ"
+
+msgid "Download notebook file"
+msgstr "نوٹ بک فائل ڈاؤن لوڈ کریں"
+
+msgid "Copyright"
+msgstr "کاپی رائٹ"
+
+msgid "Download this page"
+msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
+
+msgid "Source repository"
+msgstr "ماخذ ذخیرہ"
+
+msgid "By"
+msgstr "بذریعہ"
+
+msgid "Last updated on"
+msgstr "آخری بار تازہ کاری ہوئی"
+
+msgid "Toggle navigation"
+msgstr "نیویگیشن ٹوگل کریں"
+
+msgid "Sphinx Book Theme"
+msgstr "سپنکس بک تھیم"
+
+msgid "suggest edit"
+msgstr "ترمیم کی تجویز کریں"
+
+msgid "Open an issue"
+msgstr "ایک مسئلہ کھولیں"
+
+msgid "Launch"
+msgstr "لانچ کریں"
+
+msgid "Edit this page"
+msgstr "اس صفحے میں ترمیم کریں"
+
+msgid "By the"
+msgstr "کی طرف"
+
+msgid "next page"
+msgstr "اگلا صفحہ"
diff --git a/_static/locales/vi/LC_MESSAGES/booktheme.mo b/_static/locales/vi/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..2bb32555c3ea0dab08ed37b71cb863fbe75698c6
GIT binary patch
literal 1431
zcmZvb&x;&I6vr#s{2bR9catc(#OK8%htWiG2(!#(H#@MntBV<f*WRAmu1b2V+OFzx
z2ZFF95JJ2J-Gl5Qt0F;gAtH!OA4Eoie?ShwL!cp$lOTACr+nXZhaHT?RDHUBz3=zE
z?s+(|XG5U9f<A?QAN>vV&v#)!JFr^_{KP>F`@nJV05}OA1gF4b;9KAkunA6pAA*NK
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z3;qSN-ajCp`xj*0y?e@hC&AY-KMlSLE>x7&{%7EEtZ#xGrw?+zzkx4+4=O$aInLi8
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zOwiR);59^yT=S(n%Q~e<lFF{OS!H`9yvw3U!lgteuwpOC(AVcX^@}ofh}NJ|zs~yg
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z?Eh#Y@qUqirKywQ5i8#s`XuWW`MMEp%rvcKMSjaf<cs`zLaxX+$Opau-GrMW|Khoe
za37HwZ1qH_iu{IA9A!Hozq2u`ivF+k`z=_(s~v3NgWy38elSYR7X9sn432Djii`do
zLm`{e)E#VDv7`n+!TTa|qE!U&)GhkonPIebF>lDRK7TFmDND~hLNUKno*_5*I#duC
ze1pUH?uya95XS<na80h3K{qt+X_P1<b?<JGZ*p}M{3_8NrsOrUN%%ix#fTSncUzQM
Z`*e6S6ql71ocB7M!O~590wXmNPXTtKmQ4Tv

literal 0
HcmV?d00001

diff --git a/_static/locales/vi/LC_MESSAGES/booktheme.po b/_static/locales/vi/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..33159f3efc
--- /dev/null
+++ b/_static/locales/vi/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: vi\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "In sang PDF"
+
+msgid "Theme by the"
+msgstr "Chủ đề của"
+
+msgid "Download source file"
+msgstr "Tải xuống tệp nguồn"
+
+msgid "open issue"
+msgstr "vấn đề mở"
+
+msgid "Contents"
+msgstr "Nội dung"
+
+msgid "previous page"
+msgstr "trang trước"
+
+msgid "Download notebook file"
+msgstr "Tải xuống tệp sổ tay"
+
+msgid "Copyright"
+msgstr "Bản quyền"
+
+msgid "Download this page"
+msgstr "Tải xuống trang này"
+
+msgid "Source repository"
+msgstr "Kho nguồn"
+
+msgid "By"
+msgstr "Bởi"
+
+msgid "repository"
+msgstr "kho"
+
+msgid "Last updated on"
+msgstr "Cập nhật lần cuối vào"
+
+msgid "Toggle navigation"
+msgstr "Chuyển đổi điều hướng thành"
+
+msgid "Sphinx Book Theme"
+msgstr "Chủ đề sách nhân sư"
+
+msgid "suggest edit"
+msgstr "đề nghị chỉnh sửa"
+
+msgid "Open an issue"
+msgstr "Mở một vấn đề"
+
+msgid "Launch"
+msgstr "Phóng"
+
+msgid "Fullscreen mode"
+msgstr "Chế độ toàn màn hình"
+
+msgid "Edit this page"
+msgstr "chỉnh sửa trang này"
+
+msgid "By the"
+msgstr "Bằng"
+
+msgid "next page"
+msgstr "Trang tiếp theo"
diff --git a/_static/locales/zh_CN/LC_MESSAGES/booktheme.mo b/_static/locales/zh_CN/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..0e3235d090c2a05c0e278d38520f0437847dc79f
GIT binary patch
literal 1310
zcmZ9JO>7fK6vqb$6da&5d>$e(Tqr%5FL8(*`2r*YiH`^Z>aE(?ll6i#v)Y{nLNAmS
zVZLM|@+Cqff{+L(H9>+X*h#n|&YXJarQWrDsNf1G{?EIRgwekJ?VFu>|Np%Cx20*2
zVQfXTBHkmmBW^Fl3uE<i#_+H;c&!50f~&!e;2N+M+yd?dH-Sm81v~|=2L<>es3ZOb
zQk?;C9XJZE1)qXHfzuJ+M)Utfc@-qRPhbpOu_D~R9;Cb#q&h!?W$*w<>pw>P43chB
zQ^;m;Gx8RY{OyX^7V!v3^?n6uod9Y7@6r5Kko@OC(isEk+)qHNR|2<z@1p<zfmHAR
zDE|yL{HzT3HG|Z0T0?cHmm3k(TdKc!U@O~zp#IXJ^V6XIkv91v&nU^75p=hU2kFus
z{(wMR8u!Z%_T%9?BiJD&wUFAyhu!a3W=6Ba>Y~glBh97KqDQIoyw}Q#g=trLPD*??
zsWX<#ZNn6-BW-Dv{+f1r*{qv#gpj;Xr3E`?xSD%*+R!4+l|=5zREC|jvA~era$Qfb
zF2|B6qIlQgPIfxfbA+v2ODm_JowhTUyu=TZx9*JS6Rh#(J>i+Um1$-Lm&OIlG_(Z~
zDK6>Iog$r3#CF65OL>v)Mde-3GzDA=oCH?XIg!%wqv`lr;kc-l;Guq;^y3ZX*zu#s
zI~M-$+r2jyH8$SeZ;J%iFtEqY8kTJ5sf^*cLMP93cgEWm);WfBdxaD4kSUe6q?zDt
zJ(i9gGo<OEuL*uR^V^{lv97G=7}<EIa{Al^mv$p{ll$9w_?g@#`Hm#t_e*<>RpuVl
zu3Y;tdw<bab+qWu4YKNuTrl=0tIXW0&COLO2WrKs;K5`tbiGoZj%I^WVQK#N<NElk
z`q(2@ogJ#p-wnRy{<R7JMLw7q_h<9id^4CF4@O@GLsP-<bba_G8So3w{hJfa&yD)!
zQmt65KN>+Y?BAIRa)rh<L$3Pp55IJ8$@Nxd%Ct1Z!g+#``Re0RkQ=JsFVu$f{`1*d
n?pg4V)NfU0uE6I~DVU0;E9HBn5#$U0^-|?cF&KCqI$~b{HWi8t

literal 0
HcmV?d00001

diff --git a/_static/locales/zh_CN/LC_MESSAGES/booktheme.po b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..2e519ef455
--- /dev/null
+++ b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: zh_CN\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "列印成 PDF"
+
+msgid "Theme by the"
+msgstr "主题作者："
+
+msgid "Download source file"
+msgstr "下载源文件"
+
+msgid "open issue"
+msgstr "创建议题"
+
+msgid "Contents"
+msgstr "目录"
+
+msgid "previous page"
+msgstr "上一页"
+
+msgid "Download notebook file"
+msgstr "下载笔记本文件"
+
+msgid "Copyright"
+msgstr "版权"
+
+msgid "Download this page"
+msgstr "下载此页面"
+
+msgid "Source repository"
+msgstr "源码库"
+
+msgid "By"
+msgstr "作者："
+
+msgid "repository"
+msgstr "仓库"
+
+msgid "Last updated on"
+msgstr "上次更新时间："
+
+msgid "Toggle navigation"
+msgstr "显示或隐藏导航栏"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx Book 主题"
+
+msgid "suggest edit"
+msgstr "提出修改建议"
+
+msgid "Open an issue"
+msgstr "创建议题"
+
+msgid "Launch"
+msgstr "启动"
+
+msgid "Fullscreen mode"
+msgstr "全屏模式"
+
+msgid "Edit this page"
+msgstr "编辑此页面"
+
+msgid "By the"
+msgstr "作者："
+
+msgid "next page"
+msgstr "下一页"
diff --git a/_static/locales/zh_TW/LC_MESSAGES/booktheme.mo b/_static/locales/zh_TW/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..9116fa95d0a752665e0f1d59857a32abfc0c6bce
GIT binary patch
literal 1341
zcmZ9JO>7%Q6vqb|O6z_>OFs^gI=uiz7%1XUIrvhVNR?8ES{E)zXk$;;3!9nM?rdo|
zg(?BJNt;NGU78fyR1pmy`2barI!U>5;l_yr7d&hG1XmCT{?EI?hS9$L&6|(+{`20i
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z{{ks*S695g10>!1LDKhp!dDaaCwv>+k9`-U`<Fn<a~UN46_D=FgNMNTAf5jy@qYtJ
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diff --git a/_static/locales/zh_TW/LC_MESSAGES/booktheme.po b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
new file mode 100644
index 0000000000..beecb076b1
--- /dev/null
+++ b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: zh_TW\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "列印成 PDF"
+
+msgid "Theme by the"
+msgstr "佈景主題作者："
+
+msgid "Download source file"
+msgstr "下載原始檔"
+
+msgid "open issue"
+msgstr "公開的問題"
+
+msgid "Contents"
+msgstr "目錄"
+
+msgid "previous page"
+msgstr "上一頁"
+
+msgid "Download notebook file"
+msgstr "下載 Notebook 檔案"
+
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "下載此頁面"
+
+msgid "Source repository"
+msgstr "來源儲存庫"
+
+msgid "By"
+msgstr "作者："
+
+msgid "repository"
+msgstr "儲存庫"
+
+msgid "Last updated on"
+msgstr "最後更新時間："
+
+msgid "Toggle navigation"
+msgstr "顯示或隱藏導覽列"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx Book 佈景主題"
+
+msgid "suggest edit"
+msgstr "提出修改建議"
+
+msgid "Open an issue"
+msgstr "開啟議題"
+
+msgid "Launch"
+msgstr "啟動"
+
+msgid "Fullscreen mode"
+msgstr "全螢幕模式"
+
+msgid "Edit this page"
+msgstr "編輯此頁面"
+
+msgid "By the"
+msgstr "作者："
+
+msgid "next page"
+msgstr "下一頁"
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index 0000000000..3356631060
--- /dev/null
+++ b/_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css
@@ -0,0 +1,2342 @@
+/* Variables */
+:root {
+  --mystnb-source-bg-color: #f7f7f7;
+  --mystnb-stdout-bg-color: #fcfcfc;
+  --mystnb-stderr-bg-color: #fdd;
+  --mystnb-traceback-bg-color: #fcfcfc;
+  --mystnb-source-border-color: #ccc;
+  --mystnb-source-margin-color: green;
+  --mystnb-stdout-border-color: #f7f7f7;
+  --mystnb-stderr-border-color: #f7f7f7;
+  --mystnb-traceback-border-color: #ffd6d6;
+  --mystnb-hide-prompt-opacity: 70%;
+  --mystnb-source-border-radius: .4em;
+  --mystnb-source-border-width: 1px;
+}
+
+/* Whole cell */
+div.container.cell {
+  padding-left: 0;
+  margin-bottom: 1em;
+}
+
+/* Removing all background formatting so we can control at the div level */
+.cell_input div.highlight,
+.cell_output pre,
+.cell_input pre,
+.cell_output .output {
+  border: none;
+  box-shadow: none;
+}
+
+.cell_output .output pre,
+.cell_input pre {
+  margin: 0px;
+}
+
+/* Input cells */
+div.cell div.cell_input,
+div.cell details.above-input>summary {
+  padding-left: 0em;
+  padding-right: 0em;
+  border: var(--mystnb-source-border-width) var(--mystnb-source-border-color) solid;
+  background-color: var(--mystnb-source-bg-color);
+  border-left-color: var(--mystnb-source-margin-color);
+  border-left-width: medium;
+  border-radius: var(--mystnb-source-border-radius);
+}
+
+div.cell_input>div,
+div.cell_output div.output>div.highlight {
+  margin: 0em !important;
+  border: none !important;
+}
+
+/* All cell outputs */
+.cell_output {
+  padding-left: 1em;
+  padding-right: 0em;
+  margin-top: 1em;
+}
+
+/* Text outputs from cells */
+.cell_output .output.text_plain,
+.cell_output .output.traceback,
+.cell_output .output.stream,
+.cell_output .output.stderr {
+  margin-top: 1em;
+  margin-bottom: 0em;
+  box-shadow: none;
+}
+
+.cell_output .output.text_plain,
+.cell_output .output.stream {
+  background: var(--mystnb-stdout-bg-color);
+  border: 1px solid var(--mystnb-stdout-border-color);
+}
+
+.cell_output .output.stderr {
+  background: var(--mystnb-stderr-bg-color);
+  border: 1px solid var(--mystnb-stderr-border-color);
+}
+
+.cell_output .output.traceback {
+  background: var(--mystnb-traceback-bg-color);
+  border: 1px solid var(--mystnb-traceback-border-color);
+}
+
+/* Collapsible cell content */
+div.cell details.above-input div.cell_input {
+  border-top-left-radius: 0;
+  border-top-right-radius: 0;
+  border-top: var(--mystnb-source-border-width) var(--mystnb-source-border-color) dashed;
+}
+
+div.cell div.cell_input.above-output-prompt {
+  border-bottom-left-radius: 0;
+  border-bottom-right-radius: 0;
+}
+
+div.cell details.above-input>summary {
+  border-bottom-left-radius: 0;
+  border-bottom-right-radius: 0;
+  border-bottom: var(--mystnb-source-border-width) var(--mystnb-source-border-color) dashed;
+  padding-left: 1em;
+  margin-bottom: 0;
+}
+
+div.cell details.above-output>summary {
+  background-color: var(--mystnb-source-bg-color);
+  padding-left: 1em;
+  padding-right: 0em;
+  border: var(--mystnb-source-border-width) var(--mystnb-source-border-color) solid;
+  border-radius: var(--mystnb-source-border-radius);
+  border-left-color: var(--mystnb-source-margin-color);
+  border-left-width: medium;
+}
+
+div.cell details.below-input>summary {
+  background-color: var(--mystnb-source-bg-color);
+  padding-left: 1em;
+  padding-right: 0em;
+  border: var(--mystnb-source-border-width) var(--mystnb-source-border-color) solid;
+  border-top: none;
+  border-bottom-left-radius: var(--mystnb-source-border-radius);
+  border-bottom-right-radius: var(--mystnb-source-border-radius);
+  border-left-color: var(--mystnb-source-margin-color);
+  border-left-width: medium;
+}
+
+div.cell details.hide>summary>span {
+  opacity: var(--mystnb-hide-prompt-opacity);
+}
+
+div.cell details.hide[open]>summary>span.collapsed {
+  display: none;
+}
+
+div.cell details.hide:not([open])>summary>span.expanded {
+  display: none;
+}
+
+@keyframes collapsed-fade-in {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+div.cell details.hide[open]>summary~* {
+  -moz-animation: collapsed-fade-in 0.3s ease-in-out;
+  -webkit-animation: collapsed-fade-in 0.3s ease-in-out;
+  animation: collapsed-fade-in 0.3s ease-in-out;
+}
+
+/* Math align to the left */
+.cell_output .MathJax_Display {
+  text-align: left !important;
+}
+
+/* Pandas tables. Pulled from the Jupyter / nbsphinx CSS */
+div.cell_output table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 1em;
+  table-layout: fixed;
+}
+
+div.cell_output thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+
+div.cell_output tr,
+div.cell_output th,
+div.cell_output td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+div.cell_output th {
+  font-weight: bold;
+}
+
+div.cell_output tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+
+div.cell_output tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+
+/** source code line numbers **/
+span.linenos {
+  opacity: 0.5;
+}
+
+/* Inline text from `paste` operation */
+
+span.pasted-text {
+  font-weight: bold;
+}
+
+span.pasted-inline img {
+  max-height: 2em;
+}
+
+tbody span.pasted-inline img {
+  max-height: none;
+}
+
+/* Font colors for translated ANSI escape sequences
+Color values are copied from Jupyter Notebook
+https://github.com/jupyter/notebook/blob/52581f8eda9b319eb0390ac77fe5903c38f81e3e/notebook/static/notebook/less/ansicolors.less#L14-L21
+Background colors from
+https://nbsphinx.readthedocs.io/en/latest/code-cells.html#ANSI-Colors
+*/
+div.highlight .-Color-Bold {
+  font-weight: bold;
+}
+
+div.highlight .-Color[class*=-Black] {
+  color: #3E424D
+}
+
+div.highlight .-Color[class*=-Red] {
+  color: #E75C58
+}
+
+div.highlight .-Color[class*=-Green] {
+  color: #00A250
+}
+
+div.highlight .-Color[class*=-Yellow] {
+  color: #DDB62B
+}
+
+div.highlight .-Color[class*=-Blue] {
+  color: #208FFB
+}
+
+div.highlight .-Color[class*=-Magenta] {
+  color: #D160C4
+}
+
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+  color: #60C6C8
+}
+
+div.highlight .-Color[class*=-White] {
+  color: #C5C1B4
+}
+
+div.highlight .-Color[class*=-BGBlack] {
+  background-color: #3E424D
+}
+
+div.highlight .-Color[class*=-BGRed] {
+  background-color: #E75C58
+}
+
+div.highlight .-Color[class*=-BGGreen] {
+  background-color: #00A250
+}
+
+div.highlight .-Color[class*=-BGYellow] {
+  background-color: #DDB62B
+}
+
+div.highlight .-Color[class*=-BGBlue] {
+  background-color: #208FFB
+}
+
+div.highlight .-Color[class*=-BGMagenta] {
+  background-color: #D160C4
+}
+
+div.highlight .-Color[class*=-BGCyan] {
+  background-color: #60C6C8
+}
+
+div.highlight .-Color[class*=-BGWhite] {
+  background-color: #C5C1B4
+}
+
+/* Font colors for 8-bit ANSI */
+
+div.highlight .-Color[class*=-C0] {
+  color: #000000
+}
+
+div.highlight .-Color[class*=-BGC0] {
+  background-color: #000000
+}
+
+div.highlight .-Color[class*=-C1] {
+  color: #800000
+}
+
+div.highlight .-Color[class*=-BGC1] {
+  background-color: #800000
+}
+
+div.highlight .-Color[class*=-C2] {
+  color: #008000
+}
+
+div.highlight .-Color[class*=-BGC2] {
+  background-color: #008000
+}
+
+div.highlight .-Color[class*=-C3] {
+  color: #808000
+}
+
+div.highlight .-Color[class*=-BGC3] {
+  background-color: #808000
+}
+
+div.highlight .-Color[class*=-C4] {
+  color: #000080
+}
+
+div.highlight .-Color[class*=-BGC4] {
+  background-color: #000080
+}
+
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+  color: #800080
+}
+
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+  background-color: #800080
+}
+
+div.highlight .-Color[class*=-C6] {
+  color: #008080
+}
+
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+  background-color: #008080
+}
+
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+  color: #C0C0C0
+}
+
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+  background-color: #C0C0C0
+}
+
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+  color: #808080
+}
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+}
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+}
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+  background-color: #FF0000
+}
+
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+  color: #00FF00
+}
+
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+  background-color: #00FF00
+}
+
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+  color: #FFFF00
+}
+
+div.highlight .-Color[class*=-BGC11] {
+  background-color: #FFFF00
+}
+
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+  color: #0000FF
+}
+
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+}
+
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+  color: #FF00FF
+}
+
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+}
+
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+}
+
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+}
+
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+  color: #FFFFFF
+}
+
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+  background-color: #FFFFFF
+}
+
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+  color: #000000
+}
+
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+  background-color: #000000
+}
+
+div.highlight .-Color[class*=-C17] {
+  color: #00005F
+}
+
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+  background-color: #00005F
+}
+
+div.highlight .-Color[class*=-C18] {
+  color: #000087
+}
+
+div.highlight .-Color[class*=-BGC18] {
+  background-color: #000087
+}
+
+div.highlight .-Color[class*=-C19] {
+  color: #0000AF
+}
+
+div.highlight .-Color[class*=-BGC19] {
+  background-color: #0000AF
+}
+
+div.highlight .-Color[class*=-C20] {
+  color: #0000D7
+}
+
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+  background-color: #0000D7
+}
+
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+  color: #0000FF
+}
+
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+  background-color: #0000FF
+}
+
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+  color: #005F00
+}
+
+div.highlight .-Color[class*=-BGC22] {
+  background-color: #005F00
+}
+
+div.highlight .-Color[class*=-C23] {
+  color: #005F5F
+}
+
+div.highlight .-Color[class*=-BGC23] {
+  background-color: #005F5F
+}
+
+div.highlight .-Color[class*=-C24] {
+  color: #005F87
+}
+
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+  background-color: #005F87
+}
+
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+  color: #005FAF
+}
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+}
+
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+}
+
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+}
+
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+  color: #005FFF
+}
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+  background-color: #005FFF
+}
+
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+  color: #008700
+}
+
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+}
+
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+}
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+}
+
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+  color: #008787
+}
+
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+}
+
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+}
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+}
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+}
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+}
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+}
+
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+}
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+}
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+}
+
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+}
+
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
+
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+}
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+  color: #00FF5F
+}
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+  background-color: #00FF5F
+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
+
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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diff --git a/_static/play-solid.svg b/_static/play-solid.svg
new file mode 100644
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--- /dev/null
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diff --git a/_static/pygments.css b/_static/pygments.css
new file mode 100644
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+html[data-theme="light"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
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+html[data-theme="light"] .highlight { background: #fefefe; color: #080808 }
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+html[data-theme="light"] .highlight .ne { color: #6730C5 } /* Name.Exception */
+html[data-theme="light"] .highlight .nf { color: #005B82 } /* Name.Function */
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+html[data-theme="light"] .highlight .nn { color: #080808 } /* Name.Namespace */
+html[data-theme="light"] .highlight .nx { color: #080808 } /* Name.Other */
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+html[data-theme="light"] .highlight .nt { color: #005B82 } /* Name.Tag */
+html[data-theme="light"] .highlight .nv { color: #A12236 } /* Name.Variable */
+html[data-theme="light"] .highlight .ow { color: #6730C5 } /* Operator.Word */
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+html[data-theme="light"] .highlight .mi { color: #7F4707 } /* Literal.Number.Integer */
+html[data-theme="light"] .highlight .mo { color: #7F4707 } /* Literal.Number.Oct */
+html[data-theme="light"] .highlight .sa { color: #00622F } /* Literal.String.Affix */
+html[data-theme="light"] .highlight .sb { color: #00622F } /* Literal.String.Backtick */
+html[data-theme="light"] .highlight .sc { color: #00622F } /* Literal.String.Char */
+html[data-theme="light"] .highlight .dl { color: #00622F } /* Literal.String.Delimiter */
+html[data-theme="light"] .highlight .sd { color: #00622F } /* Literal.String.Doc */
+html[data-theme="light"] .highlight .s2 { color: #00622F } /* Literal.String.Double */
+html[data-theme="light"] .highlight .se { color: #00622F } /* Literal.String.Escape */
+html[data-theme="light"] .highlight .sh { color: #00622F } /* Literal.String.Heredoc */
+html[data-theme="light"] .highlight .si { color: #00622F } /* Literal.String.Interpol */
+html[data-theme="light"] .highlight .sx { color: #00622F } /* Literal.String.Other */
+html[data-theme="light"] .highlight .sr { color: #A12236 } /* Literal.String.Regex */
+html[data-theme="light"] .highlight .s1 { color: #00622F } /* Literal.String.Single */
+html[data-theme="light"] .highlight .ss { color: #005B82 } /* Literal.String.Symbol */
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+html[data-theme="light"] .highlight .il { color: #7F4707 } /* Literal.Number.Integer.Long */
+html[data-theme="dark"] .highlight pre { line-height: 125%; }
+html[data-theme="dark"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
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+html[data-theme="dark"] .highlight .hll { background-color: #ffd9002e }
+html[data-theme="dark"] .highlight { background: #2b2b2b; color: #F8F8F2 }
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+html[data-theme="dark"] .highlight .err { color: #FFA07A } /* Error */
+html[data-theme="dark"] .highlight .k { color: #DCC6E0 } /* Keyword */
+html[data-theme="dark"] .highlight .l { color: #FFD900 } /* Literal */
+html[data-theme="dark"] .highlight .n { color: #F8F8F2 } /* Name */
+html[data-theme="dark"] .highlight .o { color: #ABE338 } /* Operator */
+html[data-theme="dark"] .highlight .p { color: #F8F8F2 } /* Punctuation */
+html[data-theme="dark"] .highlight .ch { color: #FFD900 } /* Comment.Hashbang */
+html[data-theme="dark"] .highlight .cm { color: #FFD900 } /* Comment.Multiline */
+html[data-theme="dark"] .highlight .cp { color: #FFD900 } /* Comment.Preproc */
+html[data-theme="dark"] .highlight .cpf { color: #FFD900 } /* Comment.PreprocFile */
+html[data-theme="dark"] .highlight .c1 { color: #FFD900 } /* Comment.Single */
+html[data-theme="dark"] .highlight .cs { color: #FFD900 } /* Comment.Special */
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+html[data-theme="dark"] .highlight .kc { color: #DCC6E0 } /* Keyword.Constant */
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+html[data-theme="dark"] .highlight .w { color: #F8F8F2 } /* Text.Whitespace */
+html[data-theme="dark"] .highlight .mb { color: #FFD900 } /* Literal.Number.Bin */
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+html[data-theme="dark"] .highlight .mh { color: #FFD900 } /* Literal.Number.Hex */
+html[data-theme="dark"] .highlight .mi { color: #FFD900 } /* Literal.Number.Integer */
+html[data-theme="dark"] .highlight .mo { color: #FFD900 } /* Literal.Number.Oct */
+html[data-theme="dark"] .highlight .sa { color: #ABE338 } /* Literal.String.Affix */
+html[data-theme="dark"] .highlight .sb { color: #ABE338 } /* Literal.String.Backtick */
+html[data-theme="dark"] .highlight .sc { color: #ABE338 } /* Literal.String.Char */
+html[data-theme="dark"] .highlight .dl { color: #ABE338 } /* Literal.String.Delimiter */
+html[data-theme="dark"] .highlight .sd { color: #ABE338 } /* Literal.String.Doc */
+html[data-theme="dark"] .highlight .s2 { color: #ABE338 } /* Literal.String.Double */
+html[data-theme="dark"] .highlight .se { color: #ABE338 } /* Literal.String.Escape */
+html[data-theme="dark"] .highlight .sh { color: #ABE338 } /* Literal.String.Heredoc */
+html[data-theme="dark"] .highlight .si { color: #ABE338 } /* Literal.String.Interpol */
+html[data-theme="dark"] .highlight .sx { color: #ABE338 } /* Literal.String.Other */
+html[data-theme="dark"] .highlight .sr { color: #FFA07A } /* Literal.String.Regex */
+html[data-theme="dark"] .highlight .s1 { color: #ABE338 } /* Literal.String.Single */
+html[data-theme="dark"] .highlight .ss { color: #00E0E0 } /* Literal.String.Symbol */
+html[data-theme="dark"] .highlight .bp { color: #FFD900 } /* Name.Builtin.Pseudo */
+html[data-theme="dark"] .highlight .fm { color: #00E0E0 } /* Name.Function.Magic */
+html[data-theme="dark"] .highlight .vc { color: #FFA07A } /* Name.Variable.Class */
+html[data-theme="dark"] .highlight .vg { color: #FFA07A } /* Name.Variable.Global */
+html[data-theme="dark"] .highlight .vi { color: #FFA07A } /* Name.Variable.Instance */
+html[data-theme="dark"] .highlight .vm { color: #FFD900 } /* Name.Variable.Magic */
+html[data-theme="dark"] .highlight .il { color: #FFD900 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/_static/sbt-webpack-macros.html b/_static/sbt-webpack-macros.html
new file mode 100644
index 0000000000..6cbf559faa
--- /dev/null
+++ b/_static/sbt-webpack-macros.html
@@ -0,0 +1,11 @@
+<!--
+  All these macros are auto-generated and must **NOT** be edited by hand.
+  See the webpack.config.js file, to learn more about how this is generated.
+-->
+{% macro head_pre_bootstrap() %}
+  <link href="{{ pathto('_static/styles/sphinx-book-theme.css', 1) }}" rel="stylesheet">
+{% endmacro %}
+
+{% macro body_post() %}
+  <script src="{{ pathto('_static/scripts/sphinx-book-theme.js', 1) }}"></script>
+{% endmacro %}
diff --git a/_static/scripts/bootstrap.js b/_static/scripts/bootstrap.js
new file mode 100644
index 0000000000..c8178debbc
--- /dev/null
+++ b/_static/scripts/bootstrap.js
@@ -0,0 +1,3 @@
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t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(_i),this._element.classList.remove(gi,mi);for(const t of this._triggerArray){const e=we.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(_i),this._element.classList.add(gi),fe.trigger(this._element,fi)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(mi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(vi);for(const e of t){const t=we.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=we.find(bi,this._config.parent);return we.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=Ei.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}fe.on(document,pi,vi,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of we.getMultipleElementsFromSelector(this))Ei.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(Ei);const Ai="dropdown",Ti=".bs.dropdown",Ci=".data-api",Oi="ArrowUp",xi="ArrowDown",ki=`hide${Ti}`,Li=`hidden${Ti}`,Si=`show${Ti}`,Di=`shown${Ti}`,$i=`click${Ti}${Ci}`,Ii=`keydown${Ti}${Ci}`,Ni=`keyup${Ti}${Ci}`,Pi="show",Mi='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',ji=`${Mi}.${Pi}`,Fi=".dropdown-menu",Hi=Kt()?"top-end":"top-start",Bi=Kt()?"top-start":"top-end",Wi=Kt()?"bottom-end":"bottom-start",zi=Kt()?"bottom-start":"bottom-end",Ri=Kt()?"left-start":"right-start",qi=Kt()?"right-start":"left-start",Vi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Yi={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Ki extends ve{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=we.next(this._element,Fi)[0]||we.prev(this._element,Fi)[0]||we.findOne(Fi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return Vi}static get DefaultType(){return Yi}static get NAME(){return Ai}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Wt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!fe.trigger(this._element,Si,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Pi),this._element.classList.add(Pi),fe.trigger(this._element,Di,t)}}hide(){if(Wt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!fe.trigger(this._element,ki,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Pi),this._element.classList.remove(Pi),this._element.setAttribute("aria-expanded","false"),_e.removeDataAttribute(this._menu,"popper"),fe.trigger(this._element,Li,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Ft(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ai.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Ft(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Pi)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Ri;if(t.classList.contains("dropstart"))return qi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Bi:Hi:e?zi:Wi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(_e.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Xt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=we.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Bt(t)));i.length&&Gt(i,e,t===xi,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Ki.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=we.find(ji);for(const i of e){const e=Ki.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Oi,xi].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Mi)?this:we.prev(this,Mi)[0]||we.next(this,Mi)[0]||we.findOne(Mi,t.delegateTarget.parentNode),o=Ki.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}fe.on(document,Ii,Mi,Ki.dataApiKeydownHandler),fe.on(document,Ii,Fi,Ki.dataApiKeydownHandler),fe.on(document,$i,Ki.clearMenus),fe.on(document,Ni,Ki.clearMenus),fe.on(document,$i,Mi,(function(t){t.preventDefault(),Ki.getOrCreateInstance(this).toggle()})),Qt(Ki);const Qi="backdrop",Xi="show",Ui=`mousedown.bs.${Qi}`,Gi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Ji={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Zi extends be{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Gi}static get DefaultType(){return Ji}static get NAME(){return Qi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Xi),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Xi),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(fe.off(this._element,Ui),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),fe.on(t,Ui,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Ut(t,this._getElement(),this._config.isAnimated)}}const tn=".bs.focustrap",en=`focusin${tn}`,nn=`keydown.tab${tn}`,sn="backward",on={autofocus:!0,trapElement:null},rn={autofocus:"boolean",trapElement:"element"};class an extends be{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return on}static get DefaultType(){return rn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),fe.off(document,tn),fe.on(document,en,(t=>this._handleFocusin(t))),fe.on(document,nn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,fe.off(document,tn))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=we.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===sn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?sn:"forward")}}const ln=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",cn=".sticky-top",hn="padding-right",dn="margin-right";class un{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,hn,(e=>e+t)),this._setElementAttributes(ln,hn,(e=>e+t)),this._setElementAttributes(cn,dn,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,hn),this._resetElementAttributes(ln,hn),this._resetElementAttributes(cn,dn)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&_e.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=_e.getDataAttribute(t,e);null!==i?(_e.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Ft(t))e(t);else for(const i of we.find(t,this._element))e(i)}}const fn=".bs.modal",pn=`hide${fn}`,mn=`hidePrevented${fn}`,gn=`hidden${fn}`,_n=`show${fn}`,bn=`shown${fn}`,vn=`resize${fn}`,yn=`click.dismiss${fn}`,wn=`mousedown.dismiss${fn}`,En=`keydown.dismiss${fn}`,An=`click${fn}.data-api`,Tn="modal-open",Cn="show",On="modal-static",xn={backdrop:!0,focus:!0,keyboard:!0},kn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class Ln extends ve{constructor(t,e){super(t,e),this._dialog=we.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new un,this._addEventListeners()}static get Default(){return xn}static get DefaultType(){return kn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||fe.trigger(this._element,_n,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(Tn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(fe.trigger(this._element,pn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(Cn),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){fe.off(window,fn),fe.off(this._dialog,fn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Zi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new an({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=we.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(Cn),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,fe.trigger(this._element,bn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){fe.on(this._element,En,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),fe.on(window,vn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),fe.on(this._element,wn,(t=>{fe.one(this._element,yn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Tn),this._resetAdjustments(),this._scrollBar.reset(),fe.trigger(this._element,gn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(fe.trigger(this._element,mn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(On)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(On),this._queueCallback((()=>{this._element.classList.remove(On),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Ln.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}fe.on(document,An,'[data-bs-toggle="modal"]',(function(t){const e=we.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),fe.one(e,_n,(t=>{t.defaultPrevented||fe.one(e,gn,(()=>{Bt(this)&&this.focus()}))}));const i=we.findOne(".modal.show");i&&Ln.getInstance(i).hide(),Ln.getOrCreateInstance(e).toggle(this)})),Ee(Ln),Qt(Ln);const Sn=".bs.offcanvas",Dn=".data-api",$n=`load${Sn}${Dn}`,In="show",Nn="showing",Pn="hiding",Mn=".offcanvas.show",jn=`show${Sn}`,Fn=`shown${Sn}`,Hn=`hide${Sn}`,Bn=`hidePrevented${Sn}`,Wn=`hidden${Sn}`,zn=`resize${Sn}`,Rn=`click${Sn}${Dn}`,qn=`keydown.dismiss${Sn}`,Vn={backdrop:!0,keyboard:!0,scroll:!1},Yn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Kn extends ve{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Vn}static get DefaultType(){return Yn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||fe.trigger(this._element,jn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new un).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Nn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(In),this._element.classList.remove(Nn),fe.trigger(this._element,Fn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(fe.trigger(this._element,Hn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(Pn),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(In,Pn),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new un).reset(),fe.trigger(this._element,Wn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Zi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():fe.trigger(this._element,Bn)}:null})}_initializeFocusTrap(){return new an({trapElement:this._element})}_addEventListeners(){fe.on(this._element,qn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():fe.trigger(this._element,Bn))}))}static jQueryInterface(t){return this.each((function(){const e=Kn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}fe.on(document,Rn,'[data-bs-toggle="offcanvas"]',(function(t){const e=we.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this))return;fe.one(e,Wn,(()=>{Bt(this)&&this.focus()}));const i=we.findOne(Mn);i&&i!==e&&Kn.getInstance(i).hide(),Kn.getOrCreateInstance(e).toggle(this)})),fe.on(window,$n,(()=>{for(const t of we.find(Mn))Kn.getOrCreateInstance(t).show()})),fe.on(window,zn,(()=>{for(const t of we.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Kn.getOrCreateInstance(t).hide()})),Ee(Kn),Qt(Kn);const Qn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],dd:[],div:[],dl:[],dt:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Xn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Un=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Gn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Xn.has(i)||Boolean(Un.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Jn={allowList:Qn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Zn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},ts={entry:"(string|element|function|null)",selector:"(string|element)"};class es extends be{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Jn}static get DefaultType(){return Zn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},ts)}_setContent(t,e,i){const n=we.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Ft(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Gn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Xt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const is=new Set(["sanitize","allowList","sanitizeFn"]),ns="fade",ss="show",os=".tooltip-inner",rs=".modal",as="hide.bs.modal",ls="hover",cs="focus",hs={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},ds={allowList:Qn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},us={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class fs extends ve{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return ds}static get DefaultType(){return us}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),fe.off(this._element.closest(rs),as,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=fe.trigger(this._element,this.constructor.eventName("show")),e=(zt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),fe.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._queueCallback((()=>{fe.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!fe.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._activeTrigger.click=!1,this._activeTrigger[cs]=!1,this._activeTrigger[ls]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),fe.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ns,ss),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ns),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new es({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{[os]:this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ns)}_isShown(){return this.tip&&this.tip.classList.contains(ss)}_createPopper(t){const e=Xt(this._config.placement,[this,t,this._element]),i=hs[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Xt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Xt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)fe.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ls?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ls?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");fe.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?cs:ls]=!0,e._enter()})),fe.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?cs:ls]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},fe.on(this._element.closest(rs),as,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=_e.getDataAttributes(this._element);for(const t of Object.keys(e))is.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=fs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(fs);const ps=".popover-header",ms=".popover-body",gs={...fs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},_s={...fs.DefaultType,content:"(null|string|element|function)"};class bs extends fs{static get Default(){return gs}static get DefaultType(){return _s}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{[ps]:this._getTitle(),[ms]:this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=bs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(bs);const vs=".bs.scrollspy",ys=`activate${vs}`,ws=`click${vs}`,Es=`load${vs}.data-api`,As="active",Ts="[href]",Cs=".nav-link",Os=`${Cs}, .nav-item > ${Cs}, .list-group-item`,xs={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},ks={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class Ls extends ve{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return xs}static get DefaultType(){return ks}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ht(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(fe.off(this._config.target,ws),fe.on(this._config.target,ws,Ts,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=we.find(Ts,this._config.target);for(const e of t){if(!e.hash||Wt(e))continue;const t=we.findOne(decodeURI(e.hash),this._element);Bt(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(As),this._activateParents(t),fe.trigger(this._element,ys,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))we.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(As);else for(const e of we.parents(t,".nav, .list-group"))for(const t of we.prev(e,Os))t.classList.add(As)}_clearActiveClass(t){t.classList.remove(As);const e=we.find(`${Ts}.${As}`,t);for(const t of e)t.classList.remove(As)}static jQueryInterface(t){return this.each((function(){const e=Ls.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}fe.on(window,Es,(()=>{for(const t of we.find('[data-bs-spy="scroll"]'))Ls.getOrCreateInstance(t)})),Qt(Ls);const Ss=".bs.tab",Ds=`hide${Ss}`,$s=`hidden${Ss}`,Is=`show${Ss}`,Ns=`shown${Ss}`,Ps=`click${Ss}`,Ms=`keydown${Ss}`,js=`load${Ss}`,Fs="ArrowLeft",Hs="ArrowRight",Bs="ArrowUp",Ws="ArrowDown",zs="Home",Rs="End",qs="active",Vs="fade",Ys="show",Ks=".dropdown-toggle",Qs=`:not(${Ks})`,Xs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',Us=`.nav-link${Qs}, .list-group-item${Qs}, [role="tab"]${Qs}, ${Xs}`,Gs=`.${qs}[data-bs-toggle="tab"], .${qs}[data-bs-toggle="pill"], .${qs}[data-bs-toggle="list"]`;class Js extends ve{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),fe.on(this._element,Ms,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?fe.trigger(e,Ds,{relatedTarget:t}):null;fe.trigger(t,Is,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(qs),this._activate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),fe.trigger(t,Ns,{relatedTarget:e})):t.classList.add(Ys)}),t,t.classList.contains(Vs)))}_deactivate(t,e){t&&(t.classList.remove(qs),t.blur(),this._deactivate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),fe.trigger(t,$s,{relatedTarget:e})):t.classList.remove(Ys)}),t,t.classList.contains(Vs)))}_keydown(t){if(![Fs,Hs,Bs,Ws,zs,Rs].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!Wt(t)));let i;if([zs,Rs].includes(t.key))i=e[t.key===zs?0:e.length-1];else{const n=[Hs,Ws].includes(t.key);i=Gt(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Js.getOrCreateInstance(i).show())}_getChildren(){return we.find(Us,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=we.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=we.findOne(t,i);s&&s.classList.toggle(n,e)};n(Ks,qs),n(".dropdown-menu",Ys),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(qs)}_getInnerElement(t){return t.matches(Us)?t:we.findOne(Us,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Js.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}fe.on(document,Ps,Xs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this)||Js.getOrCreateInstance(this).show()})),fe.on(window,js,(()=>{for(const t of we.find(Gs))Js.getOrCreateInstance(t)})),Qt(Js);const Zs=".bs.toast",to=`mouseover${Zs}`,eo=`mouseout${Zs}`,io=`focusin${Zs}`,no=`focusout${Zs}`,so=`hide${Zs}`,oo=`hidden${Zs}`,ro=`show${Zs}`,ao=`shown${Zs}`,lo="hide",co="show",ho="showing",uo={animation:"boolean",autohide:"boolean",delay:"number"},fo={animation:!0,autohide:!0,delay:5e3};class po extends ve{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return fo}static get DefaultType(){return uo}static get NAME(){return"toast"}show(){fe.trigger(this._element,ro).defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(lo),qt(this._element),this._element.classList.add(co,ho),this._queueCallback((()=>{this._element.classList.remove(ho),fe.trigger(this._element,ao),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(fe.trigger(this._element,so).defaultPrevented||(this._element.classList.add(ho),this._queueCallback((()=>{this._element.classList.add(lo),this._element.classList.remove(ho,co),fe.trigger(this._element,oo)}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(co),super.dispose()}isShown(){return this._element.classList.contains(co)}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){fe.on(this._element,to,(t=>this._onInteraction(t,!0))),fe.on(this._element,eo,(t=>this._onInteraction(t,!1))),fe.on(this._element,io,(t=>this._onInteraction(t,!0))),fe.on(this._element,no,(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=po.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}function mo(t){"loading"!=document.readyState?t():document.addEventListener("DOMContentLoaded",t)}Ee(po),Qt(po),mo((function(){[].slice.call(document.querySelectorAll('[data-bs-toggle="tooltip"]')).map((function(t){return new fs(t,{delay:{show:500,hide:100}})}))})),mo((function(){document.getElementById("pst-back-to-top").addEventListener("click",(function(){document.body.scrollTop=0,document.documentElement.scrollTop=0}))})),mo((function(){var t=document.getElementById("pst-back-to-top"),e=document.getElementsByClassName("bd-header")[0].getBoundingClientRect();window.addEventListener("scroll",(function(){this.oldScroll>this.scrollY&&this.scrollY>e.bottom?t.style.display="block":t.style.display="none",this.oldScroll=this.scrollY}))})),window.bootstrap=i})();
+//# sourceMappingURL=bootstrap.js.map
\ No newline at end of file
diff --git a/_static/scripts/bootstrap.js.LICENSE.txt b/_static/scripts/bootstrap.js.LICENSE.txt
new file mode 100644
index 0000000000..28755c2c5b
--- /dev/null
+++ b/_static/scripts/bootstrap.js.LICENSE.txt
@@ -0,0 +1,5 @@
+/*!
+  * Bootstrap v5.3.3 (https://getbootstrap.com/)
+  * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+  */
diff --git a/_static/scripts/bootstrap.js.map b/_static/scripts/bootstrap.js.map
new file mode 100644
index 0000000000..4a3502aeb2
--- /dev/null
+++ b/_static/scripts/bootstrap.js.map
@@ -0,0 +1 @@
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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.3.3 (https://getbootstrap.com/)\n  * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n    const instanceMap = elementMap.get(element);\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n    instanceMap.set(key, instance);\n  },\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n    return null;\n  },\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key);\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n  if (selector && window.CSS && window.CSS.escape) {\n    // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n    selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n  }\n  return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n  return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  }\n\n  // Get transition-duration of the element\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n  return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object));\n  }\n  return null;\n};\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])');\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n    if (summary === null) {\n      return false;\n    }\n  }\n  return elementIsVisible;\n};\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n  if (element instanceof ShadowRoot) {\n    return element;\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null;\n  }\n  return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n  return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement);\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n  index += shouldGetNext ? 1 : -1;\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n    return fn.apply(element, [event]);\n  };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string';\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n  return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n    callable = wrapFunction(callable);\n  }\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n  if (!fn) {\n    return;\n  }\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n    const evt = hydrateObj(new Event(event, {\n      bubbles,\n      cancelable: true\n    }), args);\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n    return evt;\n  }\n};\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value;\n        }\n      });\n    }\n  }\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n  if (value === 'false') {\n    return false;\n  }\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n  if (value === '' || value === 'null') {\n    return null;\n  }\n  if (typeof value !== 'string') {\n    return value;\n  }\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n    return attributes;\n  },\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n  static get DefaultType() {\n    return {};\n  }\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    return config;\n  }\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.3';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n    if (!element) {\n      return;\n    }\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n  static get VERSION() {\n    return VERSION;\n  }\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href');\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null;\n  }\n  return selector ? selector.split(',').map(sel => parseSelector(sel)).join(',') : null;\n};\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n    return parents;\n  },\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n      previous = previous.previousElementSibling;\n    }\n    return [];\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n      next = next.nextElementSibling;\n    }\n    return [];\n  },\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  },\n  getSelectorFromElement(element) {\n    const selector = getSelector(element);\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null;\n    }\n    return null;\n  },\n  getElementFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.findOne(selector) : null;\n  },\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.find(selector) : [];\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n    if (isDisabled(this)) {\n      return;\n    }\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target);\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove();\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n    this._initEvents();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$c;\n  }\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n  static get NAME() {\n    return NAME$d;\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n    this._handleSwipe();\n    execute(this._config.endCallback);\n  }\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n    if (!direction) {\n      return;\n    }\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n    this._addEventListeners();\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$b;\n  }\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n  static get NAME() {\n    return NAME$c;\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n    this._clearInterval();\n  }\n  cycle() {\n    this._clearInterval();\n    this._updateInterval();\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n    this.cycle();\n  }\n  to(index) {\n    const items = this._getItems();\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n    const activeIndex = this._getItemIndex(this._getActive());\n    if (activeIndex === index) {\n      return;\n    }\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n    this._slide(order, items[index]);\n  }\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause();\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n    const direction = KEY_TO_DIRECTION[event.key];\n    if (direction) {\n      event.preventDefault();\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n    if (!element) {\n      return;\n    }\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n    const activeElement = this._getActive();\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n    if (nextElement === activeElement) {\n      return;\n    }\n    const nextElementIndex = this._getItemIndex(nextElement);\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return;\n    }\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n    this._setActiveIndicatorElement(nextElementIndex);\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n  if (slideIndex) {\n    carousel.to(slideIndex);\n    carousel._maybeEnableCycle();\n    return;\n  }\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n    carousel._maybeEnableCycle();\n    return;\n  }\n  carousel.prev();\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n    this._initializeChildren();\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$a;\n  }\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n  static get NAME() {\n    return NAME$b;\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n    let activeChildren = [];\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n    const dimension = this._getDimension();\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.style[dimension] = 0;\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n    this._queueCallback(complete, this._element, true);\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    const dimension = this._getDimension();\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger);\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n    this._element.style[dimension] = '';\n    this._queueCallback(complete, this._element, true);\n  }\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n    config.parent = getElement(config.parent);\n    return config;\n  }\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element);\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {};\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$9;\n  }\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n  static get NAME() {\n    return NAME$a;\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._createPopper();\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    this._element.focus();\n    this._element.setAttribute('aria-expanded', true);\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    this._completeHide(relatedTarget);\n  }\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    super.dispose();\n  }\n  update() {\n    this._inNavbar = this._detectNavbar();\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.setAttribute('aria-expanded', 'false');\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n  _getConfig(config) {\n    config = super._getConfig(config);\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n    return config;\n  }\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n    let referenceElement = this._element;\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n    const popperConfig = this._getPopperConfig();\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n  _getPlacement() {\n    const parentDropdown = this._parent;\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    };\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n    if (!items.length) {\n      return;\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n      context._completeHide(relatedTarget);\n    }\n  }\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n    event.preventDefault();\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n      instance._selectMenuItem(event);\n      return;\n    }\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n};\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$8;\n  }\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n  static get NAME() {\n    return NAME$9;\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._append();\n    const element = this._getElement();\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n    element.classList.add(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n    this._element.remove();\n    this._isAppended = false;\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n      this._element = backdrop;\n    }\n    return this._element;\n  }\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n    const element = this._getElement();\n    this._config.rootElement.append(element);\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n};\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$7;\n  }\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n  static get NAME() {\n    return NAME$8;\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n    const elements = SelectorEngine.focusableChildren(trapElement);\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n  hide() {\n    const width = this.getWidth();\n    this._disableOverFlow();\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n  isOverflowing() {\n    return this.getWidth() > 0;\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n    this._element.style.overflow = 'hidden';\n  }\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n      this._saveInitialAttribute(element, styleProperty);\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty);\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$6;\n  }\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n  static get NAME() {\n    return NAME$7;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._isTransitioning = true;\n    this._scrollBar.hide();\n    document.body.classList.add(CLASS_NAME_OPEN);\n    this._adjustDialog();\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = false;\n    this._isTransitioning = true;\n    this._focustrap.deactivate();\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n  dispose() {\n    EventHandler.off(window, EVENT_KEY$4);\n    EventHandler.off(this._dialog, EVENT_KEY$4);\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n  handleUpdate() {\n    this._adjustDialog();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n    this._element.style.display = 'block';\n    this._element.removeAttribute('aria-hidden');\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n          return;\n        }\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n  _hideModal() {\n    this._element.style.display = 'none';\n    this._element.setAttribute('aria-hidden', true);\n    this._element.removeAttribute('aria-modal');\n    this._element.removeAttribute('role');\n    this._isTransitioning = false;\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n      this._resetAdjustments();\n      this._scrollBar.reset();\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY;\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n    this._element.classList.add(CLASS_NAME_STATIC);\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n    this._element.focus();\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const scrollbarWidth = this._scrollBar.getWidth();\n    const isBodyOverflowing = scrollbarWidth > 0;\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](relatedTarget);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  });\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$5;\n  }\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n  static get NAME() {\n    return NAME$6;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._backdrop.show();\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._focustrap.deactivate();\n    this._element.blur();\n    this._isShown = false;\n    this._element.classList.add(CLASS_NAME_HIDING);\n    this._backdrop.hide();\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n      this._element.removeAttribute('aria-modal');\n      this._element.removeAttribute('role');\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n    this._queueCallback(completeCallback, this._element, true);\n  }\n  dispose() {\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n      this.hide();\n    };\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n    });\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  });\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  dd: [],\n  div: [],\n  dl: [],\n  dt: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n    }\n    return true;\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  }\n\n  // Getters\n  static get Default() {\n    return Default$4;\n  }\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n  static get NAME() {\n    return NAME$5;\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n  changeContent(content) {\n    this._checkContent(content);\n    this._config.content = {\n      ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n    const template = templateWrapper.children[0];\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n    return template;\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n    this._checkContent(config.content);\n  }\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n    if (!templateElement) {\n      return;\n    }\n    content = this._resolvePossibleFunction(content);\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n      return;\n    }\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n    templateElement.textContent = content;\n  }\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this]);\n  }\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n    templateElement.textContent = element.textContent;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n    super(element, config);\n\n    // Private\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null;\n\n    // Protected\n    this.tip = null;\n    this._setListeners();\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$3;\n  }\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n  static get NAME() {\n    return NAME$4;\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true;\n  }\n  disable() {\n    this._isEnabled = false;\n  }\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n    this._activeTrigger.click = !this._activeTrigger.click;\n    if (this._isShown()) {\n      this._leave();\n      return;\n    }\n    this._enter();\n  }\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n    this._disposePopper();\n    super.dispose();\n  }\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper();\n    const tip = this._getTipElement();\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n    const {\n      container\n    } = this._config;\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n      if (this._isHovered === false) {\n        this._leave();\n      }\n      this._isHovered = false;\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const tip = this._getTipElement();\n    tip.classList.remove(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n      this._element.removeAttribute('aria-describedby');\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n    return this.tip;\n  }\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml();\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null;\n    }\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n    return tip;\n  }\n  setContent(content) {\n    this._newContent = content;\n    if (this._isShown()) {\n      this._disposePopper();\n      this.show();\n    }\n  }\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n    return this._templateFactory;\n  }\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element]);\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element]);\n  }\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n          context._leave();\n        });\n      }\n    }\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n    if (!title) {\n      return;\n    }\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title');\n  }\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n    this._isHovered = true;\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n    this._isHovered = false;\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n    return config;\n  }\n  _getDelegateConfig() {\n    const config = {};\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value;\n      }\n    }\n    config.selector = false;\n    config.trigger = 'manual';\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config;\n  }\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n      this._popper = null;\n    }\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n  static get NAME() {\n    return NAME$3;\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default$1;\n  }\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n  static get NAME() {\n    return NAME$2;\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables();\n    this._maybeEnableSmoothScroll();\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n  dispose() {\n    this._observer.disconnect();\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body;\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n    return config;\n  }\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height;\n      }\n    });\n  }\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n      this._process(targetElement(entry));\n    };\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n        this._clearActiveClass(targetElement(entry));\n        continue;\n      }\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry);\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return;\n        }\n        continue;\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor);\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n    this._clearActiveClass(this._config.target);\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n    this._activateParents(target);\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst HOME_KEY = 'Home';\nconst END_KEY = 'End';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = `:not(${SELECTOR_DROPDOWN_TOGGLE})`;\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n    if (!this._parent) {\n      return;\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren());\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME$1;\n  }\n\n  // Public\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n    if (this._elemIsActive(innerElem)) {\n      return;\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem();\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n    this._deactivate(active, innerElem);\n    this._activate(innerElem, active);\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.add(CLASS_NAME_ACTIVE);\n    this._activate(SelectorEngine.getElementFromSelector(element)); // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n      this._toggleDropDown(element, true);\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n    this._deactivate(SelectorEngine.getElementFromSelector(element)); // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n      this._toggleDropDown(element, false);\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key)) {\n      return;\n    }\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault();\n    const children = this._getChildren().filter(element => !isDisabled(element));\n    let nextActiveElement;\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1];\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true);\n    }\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n    const isActive = this._elemIsActive(child);\n    const outerElem = this._getOuterElement(child);\n    child.setAttribute('aria-selected', isActive);\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n    this._setAttributeIfNotExists(child, 'role', 'tab');\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child);\n    if (!target) {\n      return;\n    }\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`);\n    }\n  }\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  Tab.getOrCreateInstance(this).show();\n});\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n    this._setListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default;\n  }\n  static get DefaultType() {\n    return DefaultType;\n  }\n  static get NAME() {\n    return NAME;\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._clearTimeout();\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n      this._maybeScheduleHide();\n    };\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n    this._element.classList.add(CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  dispose() {\n    this._clearTimeout();\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n    super.dispose();\n  }\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n    if (isInteracting) {\n      this._clearTimeout();\n      return;\n    }\n    const nextElement = event.relatedTarget;\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n    this._maybeScheduleHide();\n  }\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config](this);\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// TODO: @trallard might end up moving this to the main JS file\n// Import and setup functions to control Bootstrap's behavior.\nimport \"@popperjs/core\";\n// Import all of Bootstrap's JS\nimport * as bootstrap from \"bootstrap\";\nimport { documentReady } from \"./mixin\";\n\n/*******************************************************************************\n * Trigger tooltips\n */\n\n/**\n * Add tooltip to each element with the \"tooltip\" data-bs-toogle class\n */\nfunction TriggerTooltip() {\n  var tooltipTriggerList = [].slice.call(\n    document.querySelectorAll('[data-bs-toggle=\"tooltip\"]'),\n  );\n  tooltipTriggerList.map(function (tooltipTriggerEl) {\n    return new bootstrap.Tooltip(tooltipTriggerEl, {\n      delay: { show: 500, hide: 100 },\n    });\n  });\n}\n\n/*******************************************************************************\n * back 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diff --git a/_static/scripts/fontawesome.js b/_static/scripts/fontawesome.js
new file mode 100644
index 0000000000..71955b4292
--- /dev/null
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+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2024 Fonticons, Inc.
+ */
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define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","/**\n * Compare [semver](https://semver.org/) version strings to find greater, equal or lesser.\n * This library supports the full semver specification, including comparing versions with different number of digits like `1.0.0`, `1.0`, `1`, and pre-release versions like `1.0.0-alpha`.\n * @param v1 - First version to compare\n * @param v2 - Second version to compare\n * @returns Numeric value compatible with the [Array.sort(fn) interface](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#Parameters).\n */\nexport const compareVersions = (v1, v2) => {\n    // validate input and split into segments\n    const n1 = validateAndParse(v1);\n    const n2 = validateAndParse(v2);\n    // pop off the patch\n    const p1 = n1.pop();\n    const p2 = n2.pop();\n    // validate numbers\n    const r = compareSegments(n1, n2);\n    if (r !== 0)\n        return r;\n    // validate pre-release\n    if (p1 && p2) {\n        return compareSegments(p1.split('.'), p2.split('.'));\n    }\n    else if (p1 || p2) {\n        return p1 ? -1 : 1;\n    }\n    return 0;\n};\n/**\n * Validate [semver](https://semver.org/) version strings.\n *\n * @param version Version number to validate\n * @returns `true` if the version number is a valid semver version number, `false` otherwise.\n *\n * @example\n * ```\n * validate('1.0.0-rc.1'); // return true\n * validate('1.0-rc.1'); // return false\n * validate('foo'); // return false\n * ```\n */\nexport const validate = (version) => typeof version === 'string' && /^[v\\d]/.test(version) && semver.test(version);\n/**\n * Compare [semver](https://semver.org/) version strings using the specified operator.\n *\n * @param v1 First version to compare\n * @param v2 Second version to compare\n * @param operator Allowed arithmetic operator to use\n * @returns `true` if the comparison between the firstVersion and the secondVersion satisfies the operator, `false` otherwise.\n *\n * @example\n * ```\n * compare('10.1.8', '10.0.4', '>'); // return true\n * compare('10.0.1', '10.0.1', '='); // return true\n * compare('10.1.1', '10.2.2', '<'); // return true\n * compare('10.1.1', '10.2.2', '<='); // return true\n * compare('10.1.1', '10.2.2', '>='); // return false\n * ```\n */\nexport const compare = (v1, v2, operator) => {\n    // validate input operator\n    assertValidOperator(operator);\n    // since result of compareVersions can only be -1 or 0 or 1\n    // a simple map can be used to replace switch\n    const res = compareVersions(v1, v2);\n    return operatorResMap[operator].includes(res);\n};\n/**\n * Match [npm semver](https://docs.npmjs.com/cli/v6/using-npm/semver) version range.\n *\n * @param version Version number to match\n * @param range Range pattern for version\n * @returns `true` if the version number is within the range, `false` otherwise.\n *\n * @example\n * ```\n * satisfies('1.1.0', '^1.0.0'); // return true\n * satisfies('1.1.0', '~1.0.0'); // return false\n * ```\n */\nexport const satisfies = (version, range) => {\n    // if no range operator then \"=\"\n    const m = range.match(/^([<>=~^]+)/);\n    const op = m ? m[1] : '=';\n    // if gt/lt/eq then operator compare\n    if (op !== '^' && op !== '~')\n        return compare(version, range, op);\n    // else range of either \"~\" or \"^\" is assumed\n    const [v1, v2, v3, , vp] = validateAndParse(version);\n    const [r1, r2, r3, , rp] = validateAndParse(range);\n    const v = [v1, v2, v3];\n    const r = [r1, r2 !== null && r2 !== void 0 ? r2 : 'x', r3 !== null && r3 !== void 0 ? r3 : 'x'];\n    // validate pre-release\n    if (rp) {\n        if (!vp)\n            return false;\n        if (compareSegments(v, r) !== 0)\n            return false;\n        if (compareSegments(vp.split('.'), rp.split('.')) === -1)\n            return false;\n    }\n    // first non-zero number\n    const nonZero = r.findIndex((v) => v !== '0') + 1;\n    // pointer to where segments can be >=\n    const i = op === '~' ? 2 : nonZero > 1 ? nonZero : 1;\n    // before pointer must be equal\n    if (compareSegments(v.slice(0, i), r.slice(0, i)) !== 0)\n        return false;\n    // after pointer must be >=\n    if (compareSegments(v.slice(i), r.slice(i)) === -1)\n        return false;\n    return true;\n};\nconst semver = /^[v^~<>=]*?(\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+))?(?:-([\\da-z\\-]+(?:\\.[\\da-z\\-]+)*))?(?:\\+[\\da-z\\-]+(?:\\.[\\da-z\\-]+)*)?)?)?$/i;\nconst validateAndParse = (version) => {\n    if (typeof version !== 'string') {\n        throw new TypeError('Invalid argument expected string');\n    }\n    const match = version.match(semver);\n    if (!match) {\n        throw new Error(`Invalid argument not valid semver ('${version}' received)`);\n    }\n    match.shift();\n    return match;\n};\nconst isWildcard = (s) => s === '*' || s === 'x' || s === 'X';\nconst tryParse = (v) => {\n    const n = parseInt(v, 10);\n    return isNaN(n) ? v : n;\n};\nconst forceType = (a, b) => typeof a !== typeof b ? [String(a), String(b)] : [a, b];\nconst compareStrings = (a, b) => {\n    if (isWildcard(a) || isWildcard(b))\n        return 0;\n    const [ap, bp] = forceType(tryParse(a), tryParse(b));\n    if (ap > bp)\n        return 1;\n    if (ap < bp)\n        return -1;\n    return 0;\n};\nconst compareSegments = (a, b) => {\n    for (let i = 0; i < Math.max(a.length, b.length); i++) {\n        const r = compareStrings(a[i] || '0', b[i] || '0');\n        if (r !== 0)\n            return r;\n    }\n    return 0;\n};\nconst operatorResMap = {\n    '>': [1],\n    '>=': [0, 1],\n    '=': [0],\n    '<=': [-1, 0],\n    '<': [-1],\n};\nconst allowedOperators = Object.keys(operatorResMap);\nconst assertValidOperator = (op) => {\n    if (typeof op !== 'string') {\n        throw new TypeError(`Invalid operator type, expected string but got ${typeof op}`);\n    }\n    if (allowedOperators.indexOf(op) === -1) {\n        throw new Error(`Invalid operator, expected one of ${allowedOperators.join('|')}`);\n    }\n};\n//# sourceMappingURL=index.js.map","// Define the custom behavior of the page\nimport { documentReady } from \"./mixin\";\nimport { compare, validate } from \"compare-versions\";\n\nimport \"../styles/pydata-sphinx-theme.scss\";\n\n/*******************************************************************************\n * Theme interaction\n */\n\nvar prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\");\n\n/**\n * set the the body theme to the one specified by the user browser\n *\n * @param {event} e\n */\nfunction autoTheme(e) {\n  document.documentElement.dataset.theme = prefersDark.matches\n    ? \"dark\"\n    : \"light\";\n}\n\n/**\n * Set the theme using the specified mode.\n * It can be one of [\"auto\", \"dark\", \"light\"]\n *\n * @param {str} mode\n */\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  // get the theme\n  var colorScheme = prefersDark.matches ? \"dark\" : \"light\";\n  document.documentElement.dataset.mode = mode;\n  var theme = mode == \"auto\" ? colorScheme : mode;\n  document.documentElement.dataset.theme = theme;\n  // TODO: remove this line after Bootstrap upgrade\n  // v5.3 has a colors mode: https://getbootstrap.com/docs/5.3/customize/color-modes/\n  document.querySelectorAll(\".dropdown-menu\").forEach((el) => {\n    if (theme === \"dark\") {\n      el.classList.add(\"dropdown-menu-dark\");\n    } else {\n      el.classList.remove(\"dropdown-menu-dark\");\n    }\n  });\n\n  // save mode and theme\n  localStorage.setItem(\"mode\", mode);\n  localStorage.setItem(\"theme\", theme);\n  console.log(`[PST]: Changed to ${mode} mode using the ${theme} theme.`);\n\n  // add a listener if set on auto\n  prefersDark.onchange = mode == \"auto\" ? autoTheme : \"\";\n}\n\n/**\n * Change the theme option order so that clicking on the btn is always a change\n * from \"auto\"\n */\nfunction cycleMode() {\n  const defaultMode = document.documentElement.dataset.defaultMode || \"auto\";\n  const currentMode = localStorage.getItem(\"mode\") || defaultMode;\n\n  var loopArray = (arr, current) => {\n    var nextPosition = arr.indexOf(current) + 1;\n    if (nextPosition === arr.length) {\n      nextPosition = 0;\n    }\n    return arr[nextPosition];\n  };\n\n  // make sure the next theme after auto is always a change\n  var modeList = prefersDark.matches\n    ? [\"auto\", \"light\", \"dark\"]\n    : [\"auto\", \"dark\", \"light\"];\n  var newMode = loopArray(modeList, currentMode);\n  setTheme(newMode);\n}\n\n/**\n * add the theme listener on the btns of the navbar\n */\nfunction addModeListener() {\n  // the theme was set a first time using the initial mini-script\n  // running setMode will ensure the use of the dark mode if auto is selected\n  setTheme(document.documentElement.dataset.mode);\n\n  // Attach event handlers for toggling themes colors\n  document.querySelectorAll(\".theme-switch-button\").forEach((el) => {\n    el.addEventListener(\"click\", cycleMode);\n  });\n}\n\n/*******************************************************************************\n * TOC interactivity\n */\n\n/**\n * TOC sidebar - add \"active\" class to parent list\n *\n * Bootstrap's scrollspy adds the active class to the <a> link,\n * but for the automatic collapsing we need this on the parent list item.\n *\n * The event is triggered on \"window\" (and not the nav item as documented),\n * see https://github.com/twbs/bootstrap/issues/20086\n */\nfunction addTOCInteractivity() {\n  window.addEventListener(\"activate.bs.scrollspy\", function () {\n    const navLinks = document.querySelectorAll(\".bd-toc-nav a\");\n\n    navLinks.forEach((navLink) => {\n      navLink.parentElement.classList.remove(\"active\");\n    });\n\n    const activeNavLinks = document.querySelectorAll(\".bd-toc-nav a.active\");\n    activeNavLinks.forEach((navLink) => {\n      navLink.parentElement.classList.add(\"active\");\n    });\n  });\n}\n\n/*******************************************************************************\n * Scroll\n */\n\n/**\n * Navigation sidebar scrolling to active page\n */\nfunction scrollToActive() {\n  // If the docs nav doesn't exist, do nothing (e.g., on search page)\n  if (!document.querySelector(\".bd-docs-nav\")) {\n    return;\n  }\n\n  var sidebar = document.querySelector(\"div.bd-sidebar\");\n\n  // Remember the sidebar scroll position between page loads\n  // Inspired on source of revealjs.com\n  let storedScrollTop = parseInt(\n    sessionStorage.getItem(\"sidebar-scroll-top\"),\n    10,\n  );\n\n  if (!isNaN(storedScrollTop)) {\n    // If we've got a saved scroll position, just use that\n    sidebar.scrollTop = storedScrollTop;\n    console.log(\"[PST]: Scrolled sidebar using stored browser position...\");\n  } else {\n    // Otherwise, calculate a position to scroll to based on the lowest `active` link\n    var sidebarNav = document.querySelector(\".bd-docs-nav\");\n    var active_pages = sidebarNav.querySelectorAll(\".active\");\n    if (active_pages.length > 0) {\n      // Use the last active page as the offset since it's the page we're on\n      var latest_active = active_pages[active_pages.length - 1];\n      var offset =\n        latest_active.getBoundingClientRect().y -\n        sidebar.getBoundingClientRect().y;\n      // Only scroll the navbar if the active link is lower than 50% of the page\n      if (latest_active.getBoundingClientRect().y > window.innerHeight * 0.5) {\n        let buffer = 0.25; // Buffer so we have some space above the scrolled item\n        sidebar.scrollTop = offset - sidebar.clientHeight * buffer;\n        console.log(\"[PST]: Scrolled sidebar using last active link...\");\n      }\n    }\n  }\n\n  // Store the sidebar scroll position\n  window.addEventListener(\"beforeunload\", () => {\n    sessionStorage.setItem(\"sidebar-scroll-top\", sidebar.scrollTop);\n  });\n}\n\n/*******************************************************************************\n * Search\n */\n\n/**\n * Find any search forms on the page and return their input element\n */\nvar findSearchInput = () => {\n  let forms = document.querySelectorAll(\"form.bd-search\");\n  if (!forms.length) {\n    // no search form found\n    return;\n  } else {\n    var form;\n    if (forms.length == 1) {\n      // there is exactly one search form (persistent or hidden)\n      form = forms[0];\n    } else {\n      // must be at least one persistent form, use the first persistent one\n      form = document.querySelector(\n        \":not(#pst-search-dialog) > form.bd-search\",\n      );\n    }\n    return form.querySelector(\"input\");\n  }\n};\n\n/**\n * Activate the search field on the page.\n * - If there is a search field already visible it will be activated.\n * - If not, then a search field will pop up.\n */\nvar toggleSearchField = () => {\n  // Find the search input to highlight\n  const input = findSearchInput();\n\n  // if the input field is the hidden one (the one associated with the\n  // search button) then toggle the button state (to show/hide the field)\n  const searchDialog = document.getElementById(\"pst-search-dialog\");\n  const hiddenInput = searchDialog.querySelector(\"input\");\n  if (input === hiddenInput) {\n    if (searchDialog.open) {\n      searchDialog.close();\n    } else {\n      // Note: browsers should focus the input field inside the modal dialog\n      // automatically when it is opened.\n      searchDialog.showModal();\n    }\n  } else {\n    // if the input field is not the hidden one, then toggle its focus state\n\n    if (document.activeElement === input) {\n      input.blur();\n    } else {\n      input.focus();\n      input.select();\n      input.scrollIntoView({ block: \"center\" });\n    }\n  }\n};\n\n/**\n * Add an event listener for toggleSearchField() for Ctrl/Cmd + K\n */\nvar addEventListenerForSearchKeyboard = () => {\n  window.addEventListener(\n    \"keydown\",\n    (event) => {\n      let input = findSearchInput();\n      // toggle on Ctrl+k or ⌘+k\n      if (\n        // Ignore if shift or alt are pressed\n        !event.shiftKey &&\n        !event.altKey &&\n        // On Mac use ⌘, all other OS use Ctrl\n        (useCommandKey\n          ? event.metaKey && !event.ctrlKey\n          : !event.metaKey && event.ctrlKey) &&\n        // Case-insensitive so the shortcut still works with caps lock\n        /^k$/i.test(event.key)\n      ) {\n        event.preventDefault();\n        toggleSearchField();\n      }\n      // also allow Escape key to hide (but not show) the dynamic search field\n      else if (document.activeElement === input && /Escape/i.test(event.key)) {\n        toggleSearchField();\n      }\n    },\n    true,\n  );\n};\n\n/**\n * If the user is on a Mac, use command (⌘) instead of control (ctrl) key\n *\n * Note: `navigator.platform` is deprecated; however MDN still recommends using\n * it for the one specific use case of detecting whether a keyboard shortcut\n * should use control or command:\n * https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform#examples\n */\nvar useCommandKey =\n  navigator.platform.indexOf(\"Mac\") === 0 || navigator.platform === \"iPhone\";\n\n/**\n * Change the search hint to `meta key` if we are a Mac\n */\n\nvar changeSearchShortcutKey = () => {\n  let shortcuts = document.querySelectorAll(\".search-button__kbd-shortcut\");\n  if (useCommandKey) {\n    shortcuts.forEach(\n      (f) => (f.querySelector(\"kbd.kbd-shortcut__modifier\").innerText = \"⌘\"),\n    );\n  }\n};\n\nconst closeDialogOnBackdropClick = ({\n  currentTarget: dialog,\n  clientX,\n  clientY,\n}) => {\n  if (!dialog.open) {\n    return;\n  }\n\n  // Dialog.getBoundingClientRect() does not include ::backdrop. (This is the\n  // trick that allows us to determine if click was inside or outside of the\n  // dialog: click handler includes backdrop, getBoundingClientRect does not.)\n  const { left, right, top, bottom } = dialog.getBoundingClientRect();\n\n  // 0, 0 means top left\n  const clickWasOutsideDialog =\n    clientX < left || right < clientX || clientY < top || bottom < clientY;\n\n  if (clickWasOutsideDialog) {\n    dialog.close();\n  }\n};\n\n/**\n * Activate callbacks for search button popup\n */\nvar setupSearchButtons = () => {\n  changeSearchShortcutKey();\n  addEventListenerForSearchKeyboard();\n\n  // Add the search button trigger event callback\n  document.querySelectorAll(\".search-button__button\").forEach((btn) => {\n    btn.onclick = toggleSearchField;\n  });\n\n  // If user clicks outside the search modal dialog, then close it.\n  const searchDialog = document.getElementById(\"pst-search-dialog\");\n  // Dialog click handler includes clicks on dialog ::backdrop.\n  searchDialog.addEventListener(\"click\", closeDialogOnBackdropClick);\n};\n\n/*******************************************************************************\n * Version Switcher\n * Note that this depends on two variables existing that are defined in\n * and `html-page-context` hook:\n *\n * - DOCUMENTATION_OPTIONS.pagename\n * - DOCUMENTATION_OPTIONS.theme_switcher_url\n */\n\n/**\n * path component of URL\n */\nvar getCurrentUrlPath = () => {\n  if (DOCUMENTATION_OPTIONS.BUILDER == \"dirhtml\") {\n    return DOCUMENTATION_OPTIONS.pagename.endsWith(\"index\")\n      ? `${DOCUMENTATION_OPTIONS.pagename.substring(0, DOCUMENTATION_OPTIONS.pagename.length - \"index\".length)}`\n      : `${DOCUMENTATION_OPTIONS.pagename}/`;\n  }\n  return `${DOCUMENTATION_OPTIONS.pagename}.html`;\n};\n\n/**\n * Allow user to dismiss the warning banner about the docs version being dev / old.\n * We store the dismissal date and version, to give us flexibility about making the\n * dismissal last for longer than one browser session, if we decide to do that.\n *\n * @param {event} event the event that trigger the check\n */\nasync function DismissBannerAndStorePref(event) {\n  const banner = document.querySelector(\"#bd-header-version-warning\");\n  banner.remove();\n  const version = DOCUMENTATION_OPTIONS.VERSION;\n  const now = new Date();\n  const banner_pref = JSON.parse(\n    localStorage.getItem(\"pst_banner_pref\") || \"{}\",\n  );\n  console.debug(\n    `[PST] Dismissing the version warning banner on ${version} starting ${now}.`,\n  );\n  banner_pref[version] = now;\n  localStorage.setItem(\"pst_banner_pref\", JSON.stringify(banner_pref));\n}\n\n/**\n * Check if corresponding page path exists in other version of docs\n * and, if so, go there instead of the homepage of the other docs version\n *\n * @param {event} event the event that trigger the check\n */\nasync function checkPageExistsAndRedirect(event) {\n  // ensure we don't follow the initial link\n  event.preventDefault();\n  const currentFilePath = getCurrentUrlPath();\n  let tryUrl = event.currentTarget.getAttribute(\"href\");\n  let otherDocsHomepage = tryUrl.replace(currentFilePath, \"\");\n  try {\n    let head = await fetch(tryUrl, { method: \"HEAD\" });\n    if (head.ok) {\n      location.href = tryUrl; // the page exists, go there\n    } else {\n      location.href = otherDocsHomepage;\n    }\n  } catch (err) {\n    // something went wrong, probably CORS restriction, fallback to other docs homepage\n    location.href = otherDocsHomepage;\n  }\n}\n\n/**\n * Load and parse the version switcher JSON file from an absolute or relative URL.\n *\n * @param {string} url The URL to load version switcher entries from.\n */\nasync function fetchVersionSwitcherJSON(url) {\n  const currentPath = getCurrentUrlPath();\n  // first check if it's a valid URL\n  try {\n    var result = new URL(url);\n  } catch (err) {\n    if (err instanceof TypeError) {\n      // Assume we got a relative path, and fix accordingly.\n      if (window.location.protocol == \"file:\") {\n        // Here instead of returning `null` we work out what the file path would be\n        // anyway (same code path as for served docs), as a convenience to folks who\n        // routinely disable CORS when they boot up their browser.\n        console.info(\n          \"[PST] looks like you're viewing this site from a local filesystem, so \" +\n            \"the version switcher won't work unless you've disabled CORS. See \" +\n            \"https://pydata-sphinx-theme.readthedocs.io/en/stable/user_guide/version-dropdown.html\",\n        );\n      }\n      const cutoff = window.location.href.indexOf(currentPath);\n      // cutoff == -1 can happen e.g. on the homepage of locally served docs, where you\n      // get something like http://127.0.0.1:8000/ (no trailing `index.html`)\n      const origin =\n        cutoff == -1\n          ? window.location.href\n          : window.location.href.substring(0, cutoff);\n      result = new URL(url, origin);\n    } else {\n      // something unexpected happened\n      throw err;\n    }\n  }\n  // load and return the JSON\n  const response = await fetch(result);\n  const data = await response.json();\n  return data;\n}\n\n// Populate the version switcher from the JSON data\nfunction populateVersionSwitcher(data, versionSwitcherBtns) {\n  const currentFilePath = getCurrentUrlPath();\n  versionSwitcherBtns.forEach((btn) => {\n    // Set empty strings by default so that these attributes exist and can be used in CSS selectors\n    btn.dataset[\"activeVersionName\"] = \"\";\n    btn.dataset[\"activeVersion\"] = \"\";\n  });\n  // in case there are multiple entries with the same version string, this helps us\n  // decide which entry's `name` to put on the button itself. Without this, it would\n  // always be the *last* version-matching entry; now it will be either the\n  // version-matching entry that is also marked as `\"preferred\": true`, or if that\n  // doesn't exist: the *first* version-matching entry.\n  data = data.map((entry) => {\n    // does this entry match the version that we're currently building/viewing?\n    entry.match =\n      entry.version == DOCUMENTATION_OPTIONS.theme_switcher_version_match;\n    entry.preferred = entry.preferred || false;\n    // if no custom name specified (e.g., \"latest\"), use version string\n    if (!(\"name\" in entry)) {\n      entry.name = entry.version;\n    }\n    return entry;\n  });\n  const hasMatchingPreferredEntry = data\n    .map((entry) => entry.preferred && entry.match)\n    .some(Boolean);\n  var foundMatch = false;\n  // create links to the corresponding page in the other docs versions\n  data.forEach((entry) => {\n    // create the node\n    const anchor = document.createElement(\"a\");\n    anchor.setAttribute(\n      \"class\",\n      \"dropdown-item list-group-item list-group-item-action py-1\",\n    );\n    anchor.setAttribute(\"href\", `${entry.url}${currentFilePath}`);\n    anchor.setAttribute(\"role\", \"option\");\n    const span = document.createElement(\"span\");\n    span.textContent = `${entry.name}`;\n    anchor.appendChild(span);\n    // Add dataset values for the version and name in case people want\n    // to apply CSS styling based on this information.\n    anchor.dataset[\"versionName\"] = entry.name;\n    anchor.dataset[\"version\"] = entry.version;\n    // replace dropdown button text with the preferred display name of the\n    // currently-viewed version, rather than using sphinx's {{ version }} variable.\n    // also highlight the dropdown entry for the currently-viewed version's entry\n    let matchesAndIsPreferred = hasMatchingPreferredEntry && entry.preferred;\n    let matchesAndIsFirst =\n      !hasMatchingPreferredEntry && !foundMatch && entry.match;\n    if (matchesAndIsPreferred || matchesAndIsFirst) {\n      anchor.classList.add(\"active\");\n      versionSwitcherBtns.forEach((btn) => {\n        btn.innerText = entry.name;\n        btn.dataset[\"activeVersionName\"] = entry.name;\n        btn.dataset[\"activeVersion\"] = entry.version;\n      });\n      foundMatch = true;\n    }\n    // There may be multiple version-switcher elements, e.g. one\n    // in a slide-over panel displayed on smaller screens.\n    document.querySelectorAll(\".version-switcher__menu\").forEach((menu) => {\n      // we need to clone the node for each menu, but onclick attributes are not\n      // preserved by `.cloneNode()` so we add onclick here after cloning.\n      let node = anchor.cloneNode(true);\n      node.onclick = checkPageExistsAndRedirect;\n      // on click, AJAX calls will check if the linked page exists before\n      // trying to redirect, and if not, will redirect to the homepage\n      // for that version of the docs.\n      menu.append(node);\n    });\n  });\n}\n\n/*******************************************************************************\n * Warning banner when viewing non-stable version of the docs.\n */\n\n/**\n * Show a warning banner when viewing a non-stable version of the docs.\n *\n * adapted 2023-06 from https://mne.tools/versionwarning.js, which was\n * originally adapted 2020-05 from https://scikit-learn.org/versionwarning.js\n *\n * @param {Array} data The version data used to populate the switcher menu.\n */\nfunction showVersionWarningBanner(data) {\n  var version = DOCUMENTATION_OPTIONS.VERSION;\n  // figure out what latest stable version is\n  var preferredEntries = data.filter((entry) => entry.preferred);\n  if (preferredEntries.length !== 1) {\n    const howMany = preferredEntries.length == 0 ? \"No\" : \"Multiple\";\n    console.log(\n      `[PST] ${howMany} versions marked \"preferred\" found in versions JSON, ignoring.`,\n    );\n    return;\n  }\n  const preferredVersion = preferredEntries[0].version;\n  const preferredURL = preferredEntries[0].url;\n  // if already on preferred version, nothing to do\n  const versionsAreComparable = validate(version) && validate(preferredVersion);\n  if (versionsAreComparable && compare(version, preferredVersion, \"=\")) {\n    console.log(\n      \"[PST]: This is the preferred version of the docs, not showing the warning banner.\",\n    );\n    return;\n  }\n  // check if banner has been dismissed recently\n  const dismiss_date_str = JSON.parse(\n    localStorage.getItem(\"pst_banner_pref\") || \"{}\",\n  )[version];\n  if (dismiss_date_str != null) {\n    const dismiss_date = new Date(dismiss_date_str);\n    const now = new Date();\n    const milliseconds_in_a_day = 24 * 60 * 60 * 1000;\n    const days_passed = (now - dismiss_date) / milliseconds_in_a_day;\n    const timeout_in_days = 14;\n    if (days_passed < timeout_in_days) {\n      console.info(\n        `[PST] Suppressing version warning banner; was dismissed ${Math.floor(\n          days_passed,\n        )} day(s) ago`,\n      );\n      return;\n    }\n  }\n\n  // now construct the warning banner\n  const banner = document.querySelector(\"#bd-header-version-warning\");\n  const middle = document.createElement(\"div\");\n  const inner = document.createElement(\"div\");\n  const bold = document.createElement(\"strong\");\n  const button = document.createElement(\"a\");\n  const close_btn = document.createElement(\"a\");\n  // these classes exist since pydata-sphinx-theme v0.10.0\n  // the init class is used for animation\n  middle.classList = \"bd-header-announcement__content  ms-auto me-auto\";\n  inner.classList = \"sidebar-message\";\n  button.classList =\n    \"btn text-wrap font-weight-bold ms-3 my-1 align-baseline pst-button-link-to-stable-version\";\n  button.href = `${preferredURL}${getCurrentUrlPath()}`;\n  button.innerText = \"Switch to stable version\";\n  button.onclick = checkPageExistsAndRedirect;\n  close_btn.classList = \"ms-3 my-1 align-baseline\";\n  const close_x = document.createElement(\"i\");\n  close_btn.append(close_x);\n  close_x.classList = \"fa-solid fa-xmark\";\n  close_btn.onclick = DismissBannerAndStorePref;\n  // add the version-dependent text\n  inner.innerText = \"This is documentation for \";\n  const isDev =\n    version.includes(\"dev\") ||\n    version.includes(\"rc\") ||\n    version.includes(\"pre\");\n  const newerThanPreferred =\n    versionsAreComparable && compare(version, preferredVersion, \">\");\n  if (isDev || newerThanPreferred) {\n    bold.innerText = \"an unstable development version\";\n  } else if (versionsAreComparable && compare(version, preferredVersion, \"<\")) {\n    bold.innerText = `an old version (${version})`;\n  } else if (!version) {\n    bold.innerText = \"an unknown version\"; // e.g., an empty string\n  } else {\n    bold.innerText = `version ${version}`;\n  }\n  banner.appendChild(middle);\n  banner.append(close_btn);\n  middle.appendChild(inner);\n  inner.appendChild(bold);\n  inner.appendChild(document.createTextNode(\".\"));\n  inner.appendChild(button);\n  banner.classList.remove(\"d-none\");\n}\n\nasync function fetchAndUseVersions() {\n  // fetch the JSON version data (only once), then use it to populate the version\n  // switcher and maybe show the version warning bar\n  var versionSwitcherBtns = document.querySelectorAll(\n    \".version-switcher__button\",\n  );\n  const hasSwitcherMenu = versionSwitcherBtns.length > 0;\n  const hasVersionsJSON = DOCUMENTATION_OPTIONS.hasOwnProperty(\n    \"theme_switcher_json_url\",\n  );\n  const wantsWarningBanner = DOCUMENTATION_OPTIONS.show_version_warning_banner;\n\n  if (hasVersionsJSON && (hasSwitcherMenu || wantsWarningBanner)) {\n    const data = await fetchVersionSwitcherJSON(\n      DOCUMENTATION_OPTIONS.theme_switcher_json_url,\n    );\n    // TODO: remove the `if(data)` once the `return null` is fixed within fetchVersionSwitcherJSON.\n    // We don't really want the switcher and warning bar to silently not work.\n    if (data) {\n      populateVersionSwitcher(data, versionSwitcherBtns);\n      if (wantsWarningBanner) {\n        showVersionWarningBanner(data);\n      }\n    }\n  }\n}\n\n/*******************************************************************************\n * Sidebar modals (for mobile / narrow screens)\n */\nfunction setupMobileSidebarKeyboardHandlers() {\n  // These are the left and right sidebars for wider screens. We cut and paste\n  // the content from these widescreen sidebars into the mobile dialogs, when\n  // the user clicks the hamburger icon button\n  const primarySidebar = document.getElementById(\"pst-primary-sidebar\");\n  const secondarySidebar = document.getElementById(\"pst-secondary-sidebar\");\n\n  // These are the corresponding left/right <dialog> elements, which are empty\n  // until the user clicks the hamburger icon\n  const primaryDialog = document.getElementById(\"pst-primary-sidebar-modal\");\n  const secondaryDialog = document.getElementById(\n    \"pst-secondary-sidebar-modal\",\n  );\n\n  // These are the hamburger-style buttons in the header nav bar. They only\n  // appear at narrow screen width.\n  const primaryToggle = document.querySelector(\".primary-toggle\");\n  const secondaryToggle = document.querySelector(\".secondary-toggle\");\n\n  // Cut nodes and classes from `from`, paste into/onto `to`\n  const cutAndPasteNodesAndClasses = (from, to) => {\n    Array.from(from.childNodes).forEach((node) => to.appendChild(node));\n    Array.from(from.classList).forEach((cls) => {\n      from.classList.remove(cls);\n      to.classList.add(cls);\n    });\n  };\n\n  // Hook up the ways to open and close the dialog\n  [\n    [primaryToggle, primaryDialog, primarySidebar],\n    [secondaryToggle, secondaryDialog, secondarySidebar],\n  ].forEach(([toggleButton, dialog, sidebar]) => {\n    if (!toggleButton || !dialog || !sidebar) {\n      return;\n    }\n\n    // Clicking the button can only open the sidebar, not close it.\n    // Clicking the button is also the *only* way to open the sidebar.\n    toggleButton.addEventListener(\"click\", (event) => {\n      event.preventDefault();\n      event.stopPropagation();\n\n      // When we open the dialog, we cut and paste the nodes and classes from\n      // the widescreen sidebar into the dialog\n      cutAndPasteNodesAndClasses(sidebar, dialog);\n\n      dialog.showModal();\n    });\n\n    // Listen for clicks on the backdrop in order to close the dialog\n    dialog.addEventListener(\"click\", closeDialogOnBackdropClick);\n\n    // We have to manually attach the escape key because there's some code in\n    // Sphinx's Sphinx_highlight.js that prevents the default behavior of the\n    // escape key\n    dialog.addEventListener(\"keydown\", (event) => {\n      if (event.key === \"Escape\") {\n        event.preventDefault();\n        event.stopPropagation();\n        dialog.close();\n      }\n    });\n\n    // When the dialog is closed, move the nodes (and classes) back to their\n    // original place\n    dialog.addEventListener(\"close\", () => {\n      cutAndPasteNodesAndClasses(dialog, sidebar);\n    });\n  });\n}\n\n/**\n * When the page loads, or the window resizes, or descendant nodes are added or\n * removed from the main element, check all code blocks and Jupyter notebook\n * outputs, and for each one that has scrollable overflow, set tabIndex = 0.\n */\nfunction addTabStopsToScrollableElements() {\n  const updateTabStops = () => {\n    document\n      .querySelectorAll(\n        [\n          // code blocks\n          \"pre\",\n          // NBSphinx notebook output\n          \".nboutput > .output_area\",\n          // Myst-NB\n          \".cell_output > .output\",\n          // ipywidgets\n          \".jp-RenderedHTMLCommon\",\n          // [rST table nodes](https://www.docutils.org/docs/ref/doctree.html#table)\n          \".pst-scrollable-table-container\",\n        ].join(\", \"),\n      )\n      .forEach((el) => {\n        el.tabIndex =\n          el.scrollWidth > el.clientWidth || el.scrollHeight > el.clientHeight\n            ? 0\n            : -1;\n      });\n  };\n  const debouncedUpdateTabStops = debounce(updateTabStops, 300);\n\n  // On window resize\n  window.addEventListener(\"resize\", debouncedUpdateTabStops);\n\n  // The following MutationObserver is for ipywidgets, which take some time to\n  // finish loading and rendering on the page (so even after the \"load\" event is\n  // fired, they still have not finished rendering). Would be nice to replace\n  // the MutationObserver if there is a way to hook into the ipywidgets code to\n  // know when it is done.\n  const mainObserver = new MutationObserver(debouncedUpdateTabStops);\n\n  // On descendant nodes added/removed from main element\n  mainObserver.observe(document.getElementById(\"main-content\"), {\n    subtree: true,\n    childList: true,\n  });\n\n  // On page load (when this function gets called)\n  updateTabStops();\n}\nfunction debounce(callback, wait) {\n  let timeoutId = null;\n  return (...args) => {\n    clearTimeout(timeoutId);\n    timeoutId = setTimeout(() => {\n      callback(...args);\n    }, wait);\n  };\n}\n\n/*******************************************************************************\n * Announcement banner - fetch and load remote HTML\n */\nasync function setupAnnouncementBanner() {\n  const banner = document.querySelector(\".bd-header-announcement\");\n  const { pstAnnouncementUrl } = banner ? banner.dataset : null;\n\n  if (!pstAnnouncementUrl) {\n    return;\n  }\n\n  try {\n    const response = await fetch(pstAnnouncementUrl);\n    if (!response.ok) {\n      throw new Error(\n        `[PST]: HTTP response status not ok: ${response.status} ${response.statusText}`,\n      );\n    }\n    const data = await response.text();\n    if (data.length === 0) {\n      console.log(`[PST]: Empty announcement at: ${pstAnnouncementUrl}`);\n      return;\n    }\n    banner.innerHTML = `<div class=\"bd-header-announcement__content\">${data}</div>`;\n    banner.classList.remove(\"d-none\");\n  } catch (_error) {\n    console.log(`[PST]: Failed to load announcement at: ${pstAnnouncementUrl}`);\n    console.error(_error);\n  }\n}\n\n/*******************************************************************************\n * Reveal (and animate) the banners (version warning, announcement) together\n */\nasync function fetchRevealBannersTogether() {\n  // Wait until finished fetching and loading banners\n  await Promise.allSettled([fetchAndUseVersions(), setupAnnouncementBanner()]);\n\n  // The revealer element should have CSS rules that set height to 0, overflow\n  // to hidden, and an animation transition on the height (unless the user has\n  // turned off animations)\n  const revealer = document.querySelector(\".pst-async-banner-revealer\");\n  if (!revealer) {\n    return;\n  }\n\n  // Remove the d-none (display-none) class to calculate the children heights.\n  revealer.classList.remove(\"d-none\");\n\n  // Add together the heights of the element's children\n  const height = Array.from(revealer.children).reduce(\n    (height, el) => height + el.offsetHeight,\n    0,\n  );\n\n  // Use the calculated height to give the revealer a non-zero height (if\n  // animations allowed, the height change will animate)\n  revealer.style.setProperty(\"height\", `${height}px`);\n\n  // Wait for a bit more than 300ms (the transition duration), then set height\n  // to auto so the banner can resize if the 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\ No newline at end of file
diff --git a/_static/scripts/sphinx-book-theme.js b/_static/scripts/sphinx-book-theme.js
new file mode 100644
index 0000000000..481ba0c19b
--- /dev/null
+++ b/_static/scripts/sphinx-book-theme.js
@@ -0,0 +1,2 @@
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\ No newline at end of file
diff --git a/_static/scripts/sphinx-book-theme.js.map b/_static/scripts/sphinx-book-theme.js.map
new file mode 100644
index 0000000000..2cc145ab88
--- /dev/null
+++ b/_static/scripts/sphinx-book-theme.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"scripts/sphinx-book-theme.js","mappings":"mBASA,IAAIA,EAAsBC,IACG,WAAvBC,SAASC,WACXF,IACSC,SAASE,iBAClBF,SAASE,iBAAiB,mBAAoBH,GAE9CC,SAASG,YAAY,sBAAsB,WACd,YAAvBH,SAASC,YAA0BF,GACzC,GACF,EAkKFK,OAAOC,aAtCY,KACjB,IAAIC,EAAQN,SAASO,cAAc,cACrBD,EAAME,mBAGPC,UAAUC,SAAS,wBAC9BJ,EAAMK,mBACJ,WACA,iDAIJC,WAAW,EA2BbR,OAAOS,iBAzJgB,KACrB,IAAIC,EACDd,SAASe,mBAAoD,OAA/Bf,SAASe,mBACvCf,SAASgB,yBAC6B,OAArChB,SAASgB,wBACb,IAAIC,EAASjB,SAASkB,gBACjBJ,GAQHK,QAAQC,IAAI,8BACRpB,SAASqB,eACXrB,SAASqB,iBACArB,SAASsB,sBAClBtB,SAASsB,yBAXXH,QAAQC,IAAI,+BACRH,EAAOM,kBACTN,EAAOM,oBACEN,EAAOO,yBAChBP,EAAOO,0BASX,EA0IF1B,GAzHkB,KAChB,IAAI2B,EAAgB,GACpB,IAwCIC,EAAc,IAAIC,sBAxCA,CAACC,EAASC,KAE9BD,EAAQE,SAASC,IACf,GAAIA,EAAMC,eAERP,EAAcQ,KAAKF,EAAMG,aAGzB,IAAK,IAAIC,EAAK,EAAGA,EAAKV,EAAcW,OAAQD,IAC1C,GAAIV,EAAcU,KAAQJ,EAAMG,OAAQ,CACtCT,EAAcY,OAAOF,EAAI,GACzB,KACF,CAEJ,IAIEV,EAAcW,OAAS,EACzBpC,SAASO,cAAc,4BAA4BE,UAAU6B,IAAI,QAEjEtC,SACGO,cAAc,4BACdE,UAAU8B,OAAO,OACtB,GAYY,CAEZC,WAAY,qBAaVC,EAAiB,GATG,CACtB,aACA,WACA,SACA,iBACA,aACA,UACA,UAGcX,SAASK,IAEvBM,EAAeR,KAEX,IAAIE,IACJ,QAAQA,IACR,IAAIA,EAAGO,QAAQ,IAAK,OACpB,QAAQP,EAAGO,QAAQ,IAAK,OAE3B,IAEH1C,SAAS2C,iBAAiBF,EAAeG,KAAK,OAAOd,SAASK,IAC5DT,EAAYmB,QAAQV,EAAG,IAIJ,IAAIR,sBA1CO,CAACC,EAASC,KAEpCD,EAAQ,GAAGkB,mBAAmBC,EAAI,EACpC/C,SAASgD,KAAKvC,UAAU6B,IAAI,YAE5BtC,SAASgD,KAAKvC,UAAU8B,OAAO,WACjC,IAqCaM,QAAQ7C,SAASO,cAAc,4BAA4B,IAmD5ET,GA1BA,WACE,IAAImD,EAAkB,CACpB,0BACA,aACA,qBACA,sBACA,wBACA,qBACA,qBACA,cACAL,KAAK,KACP5C,SAAS2C,iBAAiBM,GAAiBnB,SAASK,IAClDA,EAAG1B,UAAU6B,IAAI,UAAU,GAE/B,G","sources":["webpack://sphinx_book_theme/./src/sphinx_book_theme/assets/scripts/index.js"],"sourcesContent":["// Import CSS variables\n// ref: https://css-tricks.com/getting-javascript-to-talk-to-css-and-sass/\nimport \"../styles/index.scss\";\n\n/**\n * A helper function to load scripts when the DOM is loaded.\n * This waits for everything to be on the page first before running, since\n * some functionality doesn't behave properly until everything is ready.\n */\nvar sbRunWhenDOMLoaded = (cb) => {\n  if (document.readyState != \"loading\") {\n    cb();\n  } else if (document.addEventListener) {\n    document.addEventListener(\"DOMContentLoaded\", cb);\n  } else {\n    document.attachEvent(\"onreadystatechange\", function () {\n      if (document.readyState == \"complete\") cb();\n    });\n  }\n};\n\n/**\n * Toggle full-screen with button\n *\n * There are some browser-specific hacks in here:\n * - Safari requires a `webkit` prefix, so this uses conditionals to check for that\n *   ref: https://developer.mozilla.org/en-US/docs/Web/API/Fullscreen_API\n */\nvar toggleFullScreen = () => {\n  var isInFullScreen =\n    (document.fullscreenElement && document.fullscreenElement !== null) ||\n    (document.webkitFullscreenElement &&\n      document.webkitFullscreenElement !== null);\n  let docElm = document.documentElement;\n  if (!isInFullScreen) {\n    console.log(\"[SBT]: Entering full screen\");\n    if (docElm.requestFullscreen) {\n      docElm.requestFullscreen();\n    } else if (docElm.webkitRequestFullscreen) {\n      docElm.webkitRequestFullscreen();\n    }\n  } else {\n    console.log(\"[SBT]: Exiting full screen\");\n    if (document.exitFullscreen) {\n      document.exitFullscreen();\n    } else if (document.webkitExitFullscreen) {\n      document.webkitExitFullscreen();\n    }\n  }\n};\n\n/**\n * Manage scrolling behavior. This is primarily two things:\n *\n * 1. Hide the Table of Contents any time sidebar content is on the screen.\n *\n * This will be triggered any time a sidebar item enters or exits the screen.\n * It adds/removes items from an array if they have entered the screen, and\n * removes them when they exit the screen. It hides the TOC if anything is\n * on-screen.\n *\n * ref: https://developer.mozilla.org/en-US/docs/Web/API/Intersection_Observer_API\n *\n * 2. Add a `scrolled` class to <body> to trigger CSS changes.\n */\nvar initTocHide = () => {\n  var onScreenItems = [];\n  let hideTocCallback = (entries, observer) => {\n    // Check whether any sidebar item is displayed\n    entries.forEach((entry) => {\n      if (entry.isIntersecting) {\n        // If an element just came on screen, add it our list\n        onScreenItems.push(entry.target);\n      } else {\n        // Otherwise, if it's in our list then remove it\n        for (let ii = 0; ii < onScreenItems.length; ii++) {\n          if (onScreenItems[ii] === entry.target) {\n            onScreenItems.splice(ii, 1);\n            break;\n          }\n        }\n      }\n    });\n\n    // Hide the TOC if any margin content is displayed on the screen\n    if (onScreenItems.length > 0) {\n      document.querySelector(\"div.bd-sidebar-secondary\").classList.add(\"hide\");\n    } else {\n      document\n        .querySelector(\"div.bd-sidebar-secondary\")\n        .classList.remove(\"hide\");\n    }\n  };\n  let manageScrolledClassOnBody = (entries, observer) => {\n    // The pixel is at the top, so if we're < 0 that it means we've scrolled\n    if (entries[0].boundingClientRect.y < 0) {\n      document.body.classList.add(\"scrolled\");\n    } else {\n      document.body.classList.remove(\"scrolled\");\n    }\n  };\n\n  // Set up the intersection observer to watch all margin content\n  let options = {\n    // Trigger callback when the top of a margin item is 1/3 up the screen\n    rootMargin: \"0px 0px -33% 0px\",\n  };\n  let tocObserver = new IntersectionObserver(hideTocCallback, options);\n  // TODO: deprecate popout after v0.5.0\n  const selectorClasses = [\n    \"marginnote\",\n    \"sidenote\",\n    \"margin\",\n    \"margin-caption\",\n    \"full-width\",\n    \"sidebar\",\n    \"popout\",\n  ];\n  let marginSelector = [];\n  selectorClasses.forEach((ii) => {\n    // Use three permutations of each class name because `tag_` and `_` used to be supported\n    marginSelector.push(\n      ...[\n        `.${ii}`,\n        `.tag_${ii}`,\n        `.${ii.replace(\"-\", \"_\")}`,\n        `.tag_${ii.replace(\"-\", \"_\")}`,\n      ],\n    );\n  });\n  document.querySelectorAll(marginSelector.join(\", \")).forEach((ii) => {\n    tocObserver.observe(ii);\n  });\n\n  // Set up the observer to check if we've scrolled from top of page\n  let scrollObserver = new IntersectionObserver(manageScrolledClassOnBody);\n  scrollObserver.observe(document.querySelector(\".sbt-scroll-pixel-helper\"));\n};\n\n/**\n * Activate Thebe with a custom button click.\n */\nvar initThebeSBT = () => {\n  var title = document.querySelector(\"section h1\");\n  var sibling = title.nextElementSibling;\n  // If the next element after the title isn't a thebe button, add one now.\n  // That way it is initiatlized when thebe is first-clicked and isn't re-added after.\n  if (!sibling.classList.contains(\"thebe-launch-button\")) {\n    title.insertAdjacentHTML(\n      \"afterend\",\n      \"<button class='thebe-launch-button'></button>\",\n    );\n  }\n  // This function is provided by sphinx-thebe\n  initThebe();\n};\n\n/**\n * Add no print class to certain DOM elements\n */\n\nfunction addNoPrint() {\n  var noPrintSelector = [\n    \".bd-header-announcement\",\n    \".bd-header\",\n    \".bd-header-article\",\n    \".bd-sidebar-primary\",\n    \".bd-sidebar-secondary\",\n    \".bd-footer-article\",\n    \".bd-footer-content\",\n    \".bd-footer\",\n  ].join(\",\");\n  document.querySelectorAll(noPrintSelector).forEach((ii) => {\n    ii.classList.add(\"noprint\");\n  });\n}\n\n/**\n * Set up callback functions for UI click actions\n */\nwindow.initThebeSBT = initThebeSBT;\nwindow.toggleFullScreen = toggleFullScreen;\n\n/**\n * Set up functions to load when the DOM is ready\n */\nsbRunWhenDOMLoaded(initTocHide);\nsbRunWhenDOMLoaded(addNoPrint);\n"],"names":["sbRunWhenDOMLoaded","cb","document","readyState","addEventListener","attachEvent","window","initThebeSBT","title","querySelector","nextElementSibling","classList","contains","insertAdjacentHTML","initThebe","toggleFullScreen","isInFullScreen","fullscreenElement","webkitFullscreenElement","docElm","documentElement","console","log","exitFullscreen","webkitExitFullscreen","requestFullscreen","webkitRequestFullscreen","onScreenItems","tocObserver","IntersectionObserver","entries","observer","forEach","entry","isIntersecting","push","target","ii","length","splice","add","remove","rootMargin","marginSelector","replace","querySelectorAll","join","observe","boundingClientRect","y","body","noPrintSelector"],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/searchtools.js b/_static/searchtools.js
new file mode 100644
index 0000000000..b08d58c9b9
--- /dev/null
+++ b/_static/searchtools.js
@@ -0,0 +1,620 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+/**
+ * Simple result scoring code.
+ */
+if (typeof Scorer === "undefined") {
+  var Scorer = {
+    // Implement the following function to further tweak the score for each result
+    // The function takes a result array [docname, title, anchor, descr, score, filename]
+    // and returns the new score.
+    /*
+    score: result => {
+      const [docname, title, anchor, descr, score, filename] = result
+      return score
+    },
+    */
+
+    // query matches the full name of an object
+    objNameMatch: 11,
+    // or matches in the last dotted part of the object name
+    objPartialMatch: 6,
+    // Additive scores depending on the priority of the object
+    objPrio: {
+      0: 15, // used to be importantResults
+      1: 5, // used to be objectResults
+      2: -5, // used to be unimportantResults
+    },
+    //  Used when the priority is not in the mapping.
+    objPrioDefault: 0,
+
+    // query found in title
+    title: 15,
+    partialTitle: 7,
+    // query found in terms
+    term: 5,
+    partialTerm: 2,
+  };
+}
+
+const _removeChildren = (element) => {
+  while (element && element.lastChild) element.removeChild(element.lastChild);
+};
+
+/**
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
+ */
+const _escapeRegExp = (string) =>
+  string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
+
+const _displayItem = (item, searchTerms, highlightTerms) => {
+  const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
+  const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+  const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+  const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+  const contentRoot = document.documentElement.dataset.content_root;
+
+  const [docName, title, anchor, descr, score, _filename] = item;
+
+  let listItem = document.createElement("li");
+  let requestUrl;
+  let linkUrl;
+  if (docBuilder === "dirhtml") {
+    // dirhtml builder
+    let dirname = docName + "/";
+    if (dirname.match(/\/index\/$/))
+      dirname = dirname.substring(0, dirname.length - 6);
+    else if (dirname === "index/") dirname = "";
+    requestUrl = contentRoot + dirname;
+    linkUrl = requestUrl;
+  } else {
+    // normal html builders
+    requestUrl = contentRoot + docName + docFileSuffix;
+    linkUrl = docName + docLinkSuffix;
+  }
+  let linkEl = listItem.appendChild(document.createElement("a"));
+  linkEl.href = linkUrl + anchor;
+  linkEl.dataset.score = score;
+  linkEl.innerHTML = title;
+  if (descr) {
+    listItem.appendChild(document.createElement("span")).innerHTML =
+      " (" + descr + ")";
+    // highlight search terms in the description
+    if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+      highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+  }
+  else if (showSearchSummary)
+    fetch(requestUrl)
+      .then((responseData) => responseData.text())
+      .then((data) => {
+        if (data)
+          listItem.appendChild(
+            Search.makeSearchSummary(data, searchTerms, anchor)
+          );
+        // highlight search terms in the summary
+        if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+          highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+      });
+  Search.output.appendChild(listItem);
+};
+const _finishSearch = (resultCount) => {
+  Search.stopPulse();
+  Search.title.innerText = _("Search Results");
+  if (!resultCount)
+    Search.status.innerText = Documentation.gettext(
+      "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
+    );
+  else
+    Search.status.innerText = _(
+      "Search finished, found ${resultCount} page(s) matching the search query."
+    ).replace('${resultCount}', resultCount);
+};
+const _displayNextItem = (
+  results,
+  resultCount,
+  searchTerms,
+  highlightTerms,
+) => {
+  // results left, load the summary and display it
+  // this is intended to be dynamic (don't sub resultsCount)
+  if (results.length) {
+    _displayItem(results.pop(), searchTerms, highlightTerms);
+    setTimeout(
+      () => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
+      5
+    );
+  }
+  // search finished, update title and status message
+  else _finishSearch(resultCount);
+};
+// Helper function used by query() to order search results.
+// Each input is an array of [docname, title, anchor, descr, score, filename].
+// Order the results by score (in opposite order of appearance, since the
+// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically.
+const _orderResultsByScoreThenName = (a, b) => {
+  const leftScore = a[4];
+  const rightScore = b[4];
+  if (leftScore === rightScore) {
+    // same score: sort alphabetically
+    const leftTitle = a[1].toLowerCase();
+    const rightTitle = b[1].toLowerCase();
+    if (leftTitle === rightTitle) return 0;
+    return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
+  }
+  return leftScore > rightScore ? 1 : -1;
+};
+
+/**
+ * Default splitQuery function. Can be overridden in ``sphinx.search`` with a
+ * custom function per language.
+ *
+ * The regular expression works by splitting the string on consecutive characters
+ * that are not Unicode letters, numbers, underscores, or emoji characters.
+ * This is the same as ``\W+`` in Python, preserving the surrogate pair area.
+ */
+if (typeof splitQuery === "undefined") {
+  var splitQuery = (query) => query
+      .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
+      .filter(term => term)  // remove remaining empty strings
+}
+
+/**
+ * Search Module
+ */
+const Search = {
+  _index: null,
+  _queued_query: null,
+  _pulse_status: -1,
+
+  htmlToText: (htmlString, anchor) => {
+    const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+    for (const removalQuery of [".headerlink", "script", "style"]) {
+      htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() });
+    }
+    if (anchor) {
+      const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`);
+      if (anchorContent) return anchorContent.textContent;
+
+      console.warn(
+        `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.`
+      );
+    }
+
+    // if anchor not specified or not found, fall back to main content
+    const docContent = htmlElement.querySelector('[role="main"]');
+    if (docContent) return docContent.textContent;
+
+    console.warn(
+      "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template."
+    );
+    return "";
+  },
+
+  init: () => {
+    const query = new URLSearchParams(window.location.search).get("q");
+    document
+      .querySelectorAll('input[name="q"]')
+      .forEach((el) => (el.value = query));
+    if (query) Search.performSearch(query);
+  },
+
+  loadIndex: (url) =>
+    (document.body.appendChild(document.createElement("script")).src = url),
+
+  setIndex: (index) => {
+    Search._index = index;
+    if (Search._queued_query !== null) {
+      const query = Search._queued_query;
+      Search._queued_query = null;
+      Search.query(query);
+    }
+  },
+
+  hasIndex: () => Search._index !== null,
+
+  deferQuery: (query) => (Search._queued_query = query),
+
+  stopPulse: () => (Search._pulse_status = -1),
+
+  startPulse: () => {
+    if (Search._pulse_status >= 0) return;
+
+    const pulse = () => {
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      Search.dots.innerText = ".".repeat(Search._pulse_status);
+      if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
+    };
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch: (query) => {
+    // create the required interface elements
+    const searchText = document.createElement("h2");
+    searchText.textContent = _("Searching");
+    const searchSummary = document.createElement("p");
+    searchSummary.classList.add("search-summary");
+    searchSummary.innerText = "";
+    const searchList = document.createElement("ul");
+    searchList.classList.add("search");
+
+    const out = document.getElementById("search-results");
+    Search.title = out.appendChild(searchText);
+    Search.dots = Search.title.appendChild(document.createElement("span"));
+    Search.status = out.appendChild(searchSummary);
+    Search.output = out.appendChild(searchList);
+
+    const searchProgress = document.getElementById("search-progress");
+    // Some themes don't use the search progress node
+    if (searchProgress) {
+      searchProgress.innerText = _("Preparing search...");
+    }
+    Search.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (Search.hasIndex()) Search.query(query);
+    else Search.deferQuery(query);
+  },
+
+  _parseQuery: (query) => {
+    // stem the search terms and add them to the correct list
+    const stemmer = new Stemmer();
+    const searchTerms = new Set();
+    const excludedTerms = new Set();
+    const highlightTerms = new Set();
+    const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
+    splitQuery(query.trim()).forEach((queryTerm) => {
+      const queryTermLower = queryTerm.toLowerCase();
+
+      // maybe skip this "word"
+      // stopwords array is from language_data.js
+      if (
+        stopwords.indexOf(queryTermLower) !== -1 ||
+        queryTerm.match(/^\d+$/)
+      )
+        return;
+
+      // stem the word
+      let word = stemmer.stemWord(queryTermLower);
+      // select the correct list
+      if (word[0] === "-") excludedTerms.add(word.substr(1));
+      else {
+        searchTerms.add(word);
+        highlightTerms.add(queryTermLower);
+      }
+    });
+
+    if (SPHINX_HIGHLIGHT_ENABLED) {  // set in sphinx_highlight.js
+      localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
+    }
+
+    // console.debug("SEARCH: searching for:");
+    // console.info("required: ", [...searchTerms]);
+    // console.info("excluded: ", [...excludedTerms]);
+
+    return [query, searchTerms, excludedTerms, highlightTerms, objectTerms];
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+    const allTitles = Search._index.alltitles;
+    const indexEntries = Search._index.indexentries;
+
+    // Collect multiple result groups to be sorted separately and then ordered.
+    // Each is an array of [docname, title, anchor, descr, score, filename].
+    const normalResults = [];
+    const nonMainIndexResults = [];
+
+    _removeChildren(document.getElementById("search-progress"));
+
+    const queryLower = query.toLowerCase().trim();
+    for (const [title, foundTitles] of Object.entries(allTitles)) {
+      if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) {
+        for (const [file, id] of foundTitles) {
+          const score = Math.round(Scorer.title * queryLower.length / title.length);
+          const boost = titles[file] === title ? 1 : 0;  // add a boost for document titles
+          normalResults.push([
+            docNames[file],
+            titles[file] !== title ? `${titles[file]} > ${title}` : title,
+            id !== null ? "#" + id : "",
+            null,
+            score + boost,
+            filenames[file],
+          ]);
+        }
+      }
+    }
+
+    // search for explicit entries in index directives
+    for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+      if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+        for (const [file, id, isMain] of foundEntries) {
+          const score = Math.round(100 * queryLower.length / entry.length);
+          const result = [
+            docNames[file],
+            titles[file],
+            id ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ];
+          if (isMain) {
+            normalResults.push(result);
+          } else {
+            nonMainIndexResults.push(result);
+          }
+        }
+      }
+    }
+
+    // lookup as object
+    objectTerms.forEach((term) =>
+      normalResults.push(...Search.performObjectSearch(term, objectTerms))
+    );
+
+    // lookup as search terms in fulltext
+    normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) {
+      normalResults.forEach((item) => (item[4] = Scorer.score(item)));
+      nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item)));
+    }
+
+    // Sort each group of results by score and then alphabetically by name.
+    normalResults.sort(_orderResultsByScoreThenName);
+    nonMainIndexResults.sort(_orderResultsByScoreThenName);
+
+    // Combine the result groups in (reverse) order.
+    // Non-main index entries are typically arbitrary cross-references,
+    // so display them after other results.
+    let results = [...nonMainIndexResults, ...normalResults];
+
+    // remove duplicate search results
+    // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
+    let seen = new Set();
+    results = results.reverse().reduce((acc, result) => {
+      let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
+      if (!seen.has(resultStr)) {
+        acc.push(result);
+        seen.add(resultStr);
+      }
+      return acc;
+    }, []);
+
+    return results.reverse();
+  },
+
+  query: (query) => {
+    const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query);
+    const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms);
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    // console.info("search results:", Search.lastresults);
+
+    // print the results
+    _displayNextItem(results, results.length, searchTerms, highlightTerms);
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch: (object, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const objects = Search._index.objects;
+    const objNames = Search._index.objnames;
+    const titles = Search._index.titles;
+
+    const results = [];
+
+    const objectSearchCallback = (prefix, match) => {
+      const name = match[4]
+      const fullname = (prefix ? prefix + "." : "") + name;
+      const fullnameLower = fullname.toLowerCase();
+      if (fullnameLower.indexOf(object) < 0) return;
+
+      let score = 0;
+      const parts = fullnameLower.split(".");
+
+      // check for different match types: exact matches of full name or
+      // "last name" (i.e. last dotted part)
+      if (fullnameLower === object || parts.slice(-1)[0] === object)
+        score += Scorer.objNameMatch;
+      else if (parts.slice(-1)[0].indexOf(object) > -1)
+        score += Scorer.objPartialMatch; // matches in last name
+
+      const objName = objNames[match[1]][2];
+      const title = titles[match[0]];
+
+      // If more than one term searched for, we require other words to be
+      // found in the name/title/description
+      const otherTerms = new Set(objectTerms);
+      otherTerms.delete(object);
+      if (otherTerms.size > 0) {
+        const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
+        if (
+          [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
+        )
+          return;
+      }
+
+      let anchor = match[3];
+      if (anchor === "") anchor = fullname;
+      else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
+
+      const descr = objName + _(", in ") + title;
+
+      // add custom score for some objects according to scorer
+      if (Scorer.objPrio.hasOwnProperty(match[2]))
+        score += Scorer.objPrio[match[2]];
+      else score += Scorer.objPrioDefault;
+
+      results.push([
+        docNames[match[0]],
+        fullname,
+        "#" + anchor,
+        descr,
+        score,
+        filenames[match[0]],
+      ]);
+    };
+    Object.keys(objects).forEach((prefix) =>
+      objects[prefix].forEach((array) =>
+        objectSearchCallback(prefix, array)
+      )
+    );
+    return results;
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch: (searchTerms, excludedTerms) => {
+    // prepare search
+    const terms = Search._index.terms;
+    const titleTerms = Search._index.titleterms;
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+
+    const scoreMap = new Map();
+    const fileMap = new Map();
+
+    // perform the search on the required terms
+    searchTerms.forEach((word) => {
+      const files = [];
+      const arr = [
+        { files: terms[word], score: Scorer.term },
+        { files: titleTerms[word], score: Scorer.title },
+      ];
+      // add support for partial matches
+      if (word.length > 2) {
+        const escapedWord = _escapeRegExp(word);
+        if (!terms.hasOwnProperty(word)) {
+          Object.keys(terms).forEach((term) => {
+            if (term.match(escapedWord))
+              arr.push({ files: terms[term], score: Scorer.partialTerm });
+          });
+        }
+        if (!titleTerms.hasOwnProperty(word)) {
+          Object.keys(titleTerms).forEach((term) => {
+            if (term.match(escapedWord))
+              arr.push({ files: titleTerms[term], score: Scorer.partialTitle });
+          });
+        }
+      }
+
+      // no match but word was a required one
+      if (arr.every((record) => record.files === undefined)) return;
+
+      // found search word in contents
+      arr.forEach((record) => {
+        if (record.files === undefined) return;
+
+        let recordFiles = record.files;
+        if (recordFiles.length === undefined) recordFiles = [recordFiles];
+        files.push(...recordFiles);
+
+        // set score for the word in each file
+        recordFiles.forEach((file) => {
+          if (!scoreMap.has(file)) scoreMap.set(file, {});
+          scoreMap.get(file)[word] = record.score;
+        });
+      });
+
+      // create the mapping
+      files.forEach((file) => {
+        if (!fileMap.has(file)) fileMap.set(file, [word]);
+        else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word);
+      });
+    });
+
+    // now check if the files don't contain excluded terms
+    const results = [];
+    for (const [file, wordList] of fileMap) {
+      // check if all requirements are matched
+
+      // as search terms with length < 3 are discarded
+      const filteredTermCount = [...searchTerms].filter(
+        (term) => term.length > 2
+      ).length;
+      if (
+        wordList.length !== searchTerms.size &&
+        wordList.length !== filteredTermCount
+      )
+        continue;
+
+      // ensure that none of the excluded terms is in the search result
+      if (
+        [...excludedTerms].some(
+          (term) =>
+            terms[term] === file ||
+            titleTerms[term] === file ||
+            (terms[term] || []).includes(file) ||
+            (titleTerms[term] || []).includes(file)
+        )
+      )
+        break;
+
+      // select one (max) score for the file.
+      const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
+      // add result to the result list
+      results.push([
+        docNames[file],
+        titles[file],
+        "",
+        null,
+        score,
+        filenames[file],
+      ]);
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words.
+   */
+  makeSearchSummary: (htmlText, keywords, anchor) => {
+    const text = Search.htmlToText(htmlText, anchor);
+    if (text === "") return null;
+
+    const textLower = text.toLowerCase();
+    const actualStartPosition = [...keywords]
+      .map((k) => textLower.indexOf(k.toLowerCase()))
+      .filter((i) => i > -1)
+      .slice(-1)[0];
+    const startWithContext = Math.max(actualStartPosition - 120, 0);
+
+    const top = startWithContext === 0 ? "" : "...";
+    const tail = startWithContext + 240 < text.length ? "..." : "";
+
+    let summary = document.createElement("p");
+    summary.classList.add("context");
+    summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
+
+    return summary;
+  },
+};
+
+_ready(Search.init);
diff --git a/_static/sphinx-design.min.css b/_static/sphinx-design.min.css
new file mode 100644
index 0000000000..860c36da0f
--- /dev/null
+++ b/_static/sphinx-design.min.css
@@ -0,0 +1 @@
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0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem;--sd-fontsize-dropdown: inherit;--sd-fontsize-dropdown-title: 1rem;--sd-fontweight-dropdown-title: 700}
diff --git a/_static/sphinx-thebe.css b/_static/sphinx-thebe.css
new file mode 100644
index 0000000000..1da27930c2
--- /dev/null
+++ b/_static/sphinx-thebe.css
@@ -0,0 +1,129 @@
+/* Thebelab Buttons */
+.thebelab-button {
+  z-index: 999;
+  display: inline-block;
+  padding: 0.35em 1.2em;
+  margin: 0px 1px;
+  border-radius: 0.12em;
+  box-sizing: border-box;
+  text-decoration: none;
+  font-family: "Roboto", sans-serif;
+  font-weight: 300;
+  text-align: center;
+  transition: all 0.2s;
+  background-color: #dddddd;
+  border: 0.05em solid white;
+  color: #000000;
+}
+
+.thebelab-button:hover {
+  border: 0.05em solid black;
+  background-color: #fcfcfc;
+}
+
+.thebe-launch-button {
+  height: 2.2em;
+  font-size: 0.8em;
+  border: 1px black solid;
+}
+
+/* Thebelab Cell */
+.thebelab-cell pre {
+  background: none;
+}
+
+.thebelab-cell .thebelab-input {
+  padding-left: 1em;
+  margin-bottom: 0.5em;
+  margin-top: 0.5em;
+}
+
+.thebelab-cell .jp-OutputArea {
+  margin-top: 0.5em;
+  margin-left: 1em;
+}
+
+button.thebelab-button.thebelab-run-button {
+  margin-left: 1.5em;
+  margin-bottom: 0.5em;
+}
+
+/* Loading button */
+button.thebe-launch-button div.spinner {
+  float: left;
+  margin-right: 1em;
+}
+
+/* Remove the spinner when thebelab is ready */
+.thebe-launch-button.thebe-status-ready .spinner {
+  display: none;
+}
+
+.thebe-launch-button span.status {
+  font-family: monospace;
+  font-weight: bold;
+}
+
+.thebe-launch-button.thebe-status-ready span.status {
+  color: green;
+}
+
+.spinner {
+  height: 2em;
+  text-align: center;
+  font-size: 0.7em;
+}
+
+.spinner > div {
+  background-color: #f37726;
+  height: 100%;
+  width: 6px;
+  display: inline-block;
+
+  -webkit-animation: sk-stretchdelay 1.2s infinite ease-in-out;
+  animation: sk-stretchdelay 1.2s infinite ease-in-out;
+}
+
+.spinner .rect2 {
+  -webkit-animation-delay: -1.1s;
+  animation-delay: -1.1s;
+}
+
+.spinner .rect3 {
+  -webkit-animation-delay: -1s;
+  animation-delay: -1s;
+}
+
+.spinner .rect4 {
+  -webkit-animation-delay: -0.9s;
+  animation-delay: -0.9s;
+}
+
+.spinner .rect5 {
+  -webkit-animation-delay: -0.8s;
+  animation-delay: -0.8s;
+}
+
+@-webkit-keyframes sk-stretchdelay {
+  0%,
+  40%,
+  100% {
+    -webkit-transform: scaleY(0.4);
+  }
+  20% {
+    -webkit-transform: scaleY(1);
+  }
+}
+
+@keyframes sk-stretchdelay {
+  0%,
+  40%,
+  100% {
+    transform: scaleY(0.4);
+    -webkit-transform: scaleY(0.4);
+  }
+  20% {
+    transform: scaleY(1);
+    -webkit-transform: scaleY(1);
+  }
+}
diff --git a/_static/sphinx-thebe.js b/_static/sphinx-thebe.js
new file mode 100644
index 0000000000..d92b1d3b17
--- /dev/null
+++ b/_static/sphinx-thebe.js
@@ -0,0 +1,127 @@
+/**
+ * Add attributes to Thebe blocks to initialize thebe properly
+ */
+var configureThebe = () => {
+  // Load thebe config in case we want to update it as some point
+  console.log("[sphinx-thebe]: Loading thebe config...");
+  thebe_config = document.querySelector("script[type=\"text/x-thebe-config\"]");
+
+  // If we already detect a Thebe cell, don't re-run
+  if (document.querySelectorAll("div.thebe-cell").length > 0) {
+    return;
+  }
+
+  // Update thebe buttons with loading message
+  document.querySelectorAll(".thebe-launch-button").forEach((button) => {
+    button.innerHTML = `
+        <div class="spinner">
+            <div class="rect1"></div>
+            <div class="rect2"></div>
+            <div class="rect3"></div>
+            <div class="rect4"></div>
+        </div>
+        <span class="loading-text"></span>`;
+  });
+
+  // Set thebe event hooks
+  var thebeStatus;
+  thebelab.on("status", function (evt, data) {
+    console.log("Status changed:", data.status, data.message);
+
+    const button = document.querySelector(".thebe-launch-button ");
+    button.classList.replace(
+	    `thebe-status-${thebeStatus}`, 
+	    `thebe-status-${data.status}`
+    )
+    button.querySelector(".loading-text")
+      .innerHTML = (
+        `<span class='launch_msg'>Launching from mybinder.org: </span>
+	 <span class='status'>${data.status}</span>`
+      );
+
+    // Now update our thebe status
+    thebeStatus = data.status;
+
+    // Find any cells with an initialization tag and ask thebe to run them when ready
+    if (data.status === "ready") {
+      var thebeInitCells = document.querySelectorAll(
+        ".thebe-init, .tag_thebe-init"
+      );
+      thebeInitCells.forEach((cell) => {
+        console.log("Initializing Thebe with cell: " + cell.id);
+        cell.querySelector(".thebelab-run-button").click();
+      });
+    }
+  });
+};
+
+/**
+ * Update the page DOM to use Thebe elements
+ */
+var modifyDOMForThebe = () => {
+  // Find all code cells, replace with Thebe interactive code cells
+  const codeCells = document.querySelectorAll(thebe_selector);
+  codeCells.forEach((codeCell, index) => {
+    const codeCellId = (index) => `codecell${index}`;
+    codeCell.id = codeCellId(index);
+    codeCellText = codeCell.querySelector(thebe_selector_input);
+    codeCellOutput = codeCell.querySelector(thebe_selector_output);
+
+    // Clean up the language to make it work w/ CodeMirror and add it to the cell
+    dataLanguage = detectLanguage(kernelName);
+
+    // Re-arrange the cell and add metadata
+    if (codeCellText) {
+      codeCellText.setAttribute("data-language", dataLanguage);
+      codeCellText.setAttribute("data-executable", "true");
+
+      // If we had an output, insert it just after the `pre` cell
+      if (codeCellOutput) {
+        codeCellOutput.setAttribute("data-output", "");
+        codeCellText.insertAdjacentElement('afterend', codeCellOutput);
+      }
+    }
+
+    // Remove sphinx-copybutton blocks, which are common in Sphinx
+    codeCell.querySelectorAll("button.copybtn").forEach((el) => {
+      el.remove();
+    });
+  });
+};
+
+var initThebe = () => {
+  // Load thebe dynamically if it's not already loaded
+  if (typeof thebelab === "undefined") {
+    console.log("[sphinx-thebe]: Loading thebe from CDN...");
+    document.querySelector(".thebe-launch-button ").innerText = "Loading thebe from CDN...";
+
+    const script = document.createElement("script");
+    script.src = `${THEBE_JS_URL}`;
+    document.head.appendChild(script);
+
+    // Runs once the script has finished loading
+    script.addEventListener("load", () => {
+      console.log("[sphinx-thebe]: Finished loading thebe from CDN...");
+      configureThebe();
+      modifyDOMForThebe();
+      thebelab.bootstrap();
+    });
+  } else {
+    console.log(
+      "[sphinx-thebe]: thebe already loaded, not loading from CDN..."
+    );
+    configureThebe();
+    modifyDOMForThebe();
+    thebelab.bootstrap();
+  }
+};
+
+// Helper function to munge the language name
+var detectLanguage = (language) => {
+  if (language.indexOf("python") > -1) {
+    language = "python";
+  } else if (language === "ir") {
+    language = "r";
+  }
+  return language;
+};
diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js
new file mode 100644
index 0000000000..8a96c69a19
--- /dev/null
+++ b/_static/sphinx_highlight.js
@@ -0,0 +1,154 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+  if (node.nodeType === Node.TEXT_NODE) {
+    const val = node.nodeValue;
+    const parent = node.parentNode;
+    const pos = val.toLowerCase().indexOf(text);
+    if (
+      pos >= 0 &&
+      !parent.classList.contains(className) &&
+      !parent.classList.contains("nohighlight")
+    ) {
+      let span;
+
+      const closestNode = parent.closest("body, svg, foreignObject");
+      const isInSVG = closestNode && closestNode.matches("svg");
+      if (isInSVG) {
+        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+      } else {
+        span = document.createElement("span");
+        span.classList.add(className);
+      }
+
+      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+      const rest = document.createTextNode(val.substr(pos + text.length));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
+          rest,
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+      /* There may be more occurrences of search term in this node. So call this
+       * function recursively on the remaining fragment.
+       */
+      _highlight(rest, addItems, text, className);
+
+      if (isInSVG) {
+        const rect = document.createElementNS(
+          "http://www.w3.org/2000/svg",
+          "rect"
+        );
+        const bbox = parent.getBBox();
+        rect.x.baseVal.value = bbox.x;
+        rect.y.baseVal.value = bbox.y;
+        rect.width.baseVal.value = bbox.width;
+        rect.height.baseVal.value = bbox.height;
+        rect.setAttribute("class", className);
+        addItems.push({ parent: parent, target: rect });
+      }
+    }
+  } else if (node.matches && !node.matches("button, select, textarea")) {
+    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+  }
+};
+const _highlightText = (thisNode, text, className) => {
+  let addItems = [];
+  _highlight(thisNode, addItems, text, className);
+  addItems.forEach((obj) =>
+    obj.parent.insertAdjacentElement("beforebegin", obj.target)
+  );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const SphinxHighlight = {
+
+  /**
+   * highlight the search words provided in localstorage in the text
+   */
+  highlightSearchWords: () => {
+    if (!SPHINX_HIGHLIGHT_ENABLED) return;  // bail if no highlight
+
+    // get and clear terms from localstorage
+    const url = new URL(window.location);
+    const highlight =
+        localStorage.getItem("sphinx_highlight_terms")
+        || url.searchParams.get("highlight")
+        || "";
+    localStorage.removeItem("sphinx_highlight_terms")
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
+
+    // get individual terms from highlight string
+    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+    if (terms.length === 0) return; // nothing to do
+
+    // There should never be more than one element matching "div.body"
+    const divBody = document.querySelectorAll("div.body");
+    const body = divBody.length ? divBody[0] : document.querySelector("body");
+    window.setTimeout(() => {
+      terms.forEach((term) => _highlightText(body, term, "highlighted"));
+    }, 10);
+
+    const searchBox = document.getElementById("searchbox");
+    if (searchBox === null) return;
+    searchBox.appendChild(
+      document
+        .createRange()
+        .createContextualFragment(
+          '<p class="highlight-link">' +
+            '<a href="javascript:SphinxHighlight.hideSearchWords()">' +
+            _("Hide Search Matches") +
+            "</a></p>"
+        )
+    );
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords: () => {
+    document
+      .querySelectorAll("#searchbox .highlight-link")
+      .forEach((el) => el.remove());
+    document
+      .querySelectorAll("span.highlighted")
+      .forEach((el) => el.classList.remove("highlighted"));
+    localStorage.removeItem("sphinx_highlight_terms")
+  },
+
+  initEscapeListener: () => {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
+      if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
+        SphinxHighlight.hideSearchWords();
+        event.preventDefault();
+      }
+    });
+  },
+};
+
+_ready(() => {
+  /* Do not call highlightSearchWords() when we are on the search page.
+   * It will highlight words from the *previous* search query.
+   */
+  if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords();
+  SphinxHighlight.initEscapeListener();
+});
diff --git a/_static/styles/pydata-sphinx-theme.css b/_static/styles/pydata-sphinx-theme.css
new file mode 100644
index 0000000000..d26dd09d8f
--- /dev/null
+++ b/_static/styles/pydata-sphinx-theme.css
@@ -0,0 +1,32 @@
+@charset "UTF-8";
+/*!
+ * Bootstrap  v5.3.3 (https://getbootstrap.com/)
+ * Copyright 2011-2024 The Bootstrap Authors
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+ */:root,[data-bs-theme=light]{--bs-blue:#0d6efd;--bs-indigo:#6610f2;--bs-purple:#6f42c1;--bs-pink:#d63384;--bs-red:#dc3545;--bs-orange:#fd7e14;--bs-yellow:#ffc107;--bs-green:#198754;--bs-teal:#20c997;--bs-cyan:#0dcaf0;--bs-black:#000;--bs-white:#fff;--bs-gray:#6c757d;--bs-gray-dark:#343a40;--bs-gray-100:#f8f9fa;--bs-gray-200:#e9ecef;--bs-gray-300:#dee2e6;--bs-gray-400:#ced4da;--bs-gray-500:#adb5bd;--bs-gray-600:#6c757d;--bs-gray-700:#495057;--bs-gray-800:#343a40;--bs-gray-900:#212529;--bs-primary:#0d6efd;--bs-secondary:#6c757d;--bs-success:#198754;--bs-info:#0dcaf0;--bs-warning:#ffc107;--bs-danger:#dc3545;--bs-light:#f8f9fa;--bs-dark:#212529;--bs-primary-rgb:13,110,253;--bs-secondary-rgb:108,117,125;--bs-success-rgb:25,135,84;--bs-info-rgb:13,202,240;--bs-warning-rgb:255,193,7;--bs-danger-rgb:220,53,69;--bs-light-rgb:248,249,250;--bs-dark-rgb:33,37,41;--bs-primary-text-emphasis:#052c65;--bs-secondary-text-emphasis:#2b2f32;--bs-success-text-emphasis:#0a3622;--bs-info-text-emphasis:#055160;--bs-warning-text-emphasis:#664d03;--bs-danger-text-emphasis:#58151c;--bs-light-text-emphasis:#495057;--bs-dark-text-emphasis:#495057;--bs-primary-bg-subtle:#cfe2ff;--bs-secondary-bg-subtle:#e2e3e5;--bs-success-bg-subtle:#d1e7dd;--bs-info-bg-subtle:#cff4fc;--bs-warning-bg-subtle:#fff3cd;--bs-danger-bg-subtle:#f8d7da;--bs-light-bg-subtle:#fcfcfd;--bs-dark-bg-subtle:#ced4da;--bs-primary-border-subtle:#9ec5fe;--bs-secondary-border-subtle:#c4c8cb;--bs-success-border-subtle:#a3cfbb;--bs-info-border-subtle:#9eeaf9;--bs-warning-border-subtle:#ffe69c;--bs-danger-border-subtle:#f1aeb5;--bs-light-border-subtle:#e9ecef;--bs-dark-border-subtle:#adb5bd;--bs-white-rgb:255,255,255;--bs-black-rgb:0,0,0;--bs-font-sans-serif:system-ui,-apple-system,"Segoe UI",Roboto,"Helvetica Neue","Noto Sans","Liberation Sans",Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji";--bs-font-monospace:SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier 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.offcanvas{background-color:transparent!important;border:0!important;flex-grow:1;height:auto!important;position:static;transform:none!important;transition:none;visibility:visible!important;width:auto!important;z-index:auto}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;flex-grow:0;overflow-y:visible;padding:0}}@media (min-width:960px){.navbar-expand-lg{flex-wrap:nowrap;justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-left:var(--bs-navbar-nav-link-padding-x);padding-right:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex!important;flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{background-color:transparent!important;border:0!important;flex-grow:1;height:auto!important;position:static;transform:none!important;transition:none;visibility:visible!important;width:auto!important;z-index:auto}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas .offcanvas-body{display:flex;flex-grow:0;overflow-y:visible;padding:0}}@media (min-width:1200px){.navbar-expand-xl{flex-wrap:nowrap;justify-content:flex-start}.navbar-expand-xl .navbar-nav{flex-direction:row}.navbar-expand-xl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xl .navbar-nav .nav-link{padding-left:var(--bs-navbar-nav-link-padding-x);padding-right:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xl .navbar-nav-scroll{overflow:visible}.navbar-expand-xl .navbar-collapse{display:flex!important;flex-basis:auto}.navbar-expand-xl .navbar-toggler{display:none}.navbar-expand-xl 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.offcanvas{background-color:transparent!important;border:0!important;flex-grow:1;height:auto!important;position:static;transform:none!important;transition:none;visibility:visible!important;width:auto!important;z-index:auto}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;flex-grow:0;overflow-y:visible;padding:0}.navbar-dark,.navbar[data-bs-theme=dark]{--bs-navbar-color:hsla(0,0%,100%,.55);--bs-navbar-hover-color:hsla(0,0%,100%,.75);--bs-navbar-disabled-color:hsla(0,0%,100%,.25);--bs-navbar-active-color:#fff;--bs-navbar-brand-color:#fff;--bs-navbar-brand-hover-color:#fff;--bs-navbar-toggler-border-color:hsla(0,0%,100%,.1)}.navbar-dark,.navbar[data-bs-theme=dark],[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3E%3Cpath stroke='rgba(255, 255, 255, 0.55)' stroke-linecap='round' stroke-miterlimit='10' 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16 16' fill='%236ea8fe'%3E%3Cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3E%3C/svg%3E");--bs-accordion-btn-active-icon:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3E%3Cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3E%3C/svg%3E")}.breadcrumb{--bs-breadcrumb-padding-x:0;--bs-breadcrumb-padding-y:0;--bs-breadcrumb-margin-bottom:1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color:var(--bs-secondary-color);--bs-breadcrumb-item-padding-x:0.5rem;--bs-breadcrumb-item-active-color:var(--bs-secondary-color);background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius);display:flex;flex-wrap:wrap;font-size:var(--bs-breadcrumb-font-size);list-style:none;margin-bottom:var(--bs-breadcrumb-margin-bottom);padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item:before{color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider,"/");float:left;padding-right:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x:0.75rem;--bs-pagination-padding-y:0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color:var(--bs-link-color);--bs-pagination-bg:var(--bs-body-bg);--bs-pagination-border-width:var(--bs-border-width);--bs-pagination-border-color:var(--bs-border-color);--bs-pagination-border-radius:var(--bs-border-radius);--bs-pagination-hover-color:var(--bs-link-hover-color);--bs-pagination-hover-bg:var(--bs-tertiary-bg);--bs-pagination-hover-border-color:var(--bs-border-color);--bs-pagination-focus-color:var(--bs-link-hover-color);--bs-pagination-focus-bg:var(--bs-secondary-bg);--bs-pagination-focus-box-shadow:0 0 0 0.1875rem var(--pst-color-accent);--bs-pagination-active-color:#fff;--bs-pagination-active-bg:#0d6efd;--bs-pagination-active-border-color:#0d6efd;--bs-pagination-disabled-color:var(--bs-secondary-color);--bs-pagination-disabled-bg:var(--bs-secondary-bg);--bs-pagination-disabled-border-color:var(--bs-border-color);display:flex;list-style:none;padding-left:0}.page-link{background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);color:var(--bs-pagination-color);display:block;font-size:var(--bs-pagination-font-size);padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);position:relative;text-decoration:none;transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media (prefers-reduced-motion:reduce){.page-link{transition:none}}.page-link:hover{background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color);color:var(--bs-pagination-hover-color);z-index:2}.page-link:focus{background-color:var(--bs-pagination-focus-bg);box-shadow:var(--bs-pagination-focus-box-shadow);color:var(--bs-pagination-focus-color);outline:0;z-index:3}.active>.page-link,.page-link.active{background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color);color:var(--bs-pagination-active-color);z-index:3}.disabled>.page-link,.page-link.disabled{background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color);color:var(--bs-pagination-disabled-color);pointer-events:none}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width)*-1)}.page-item:first-child .page-link{border-bottom-left-radius:var(--bs-pagination-border-radius);border-top-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-bottom-right-radius:var(--bs-pagination-border-radius);border-top-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x:1.5rem;--bs-pagination-padding-y:0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius:var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x:0.5rem;--bs-pagination-padding-y:0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius:var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x:0.65em;--bs-badge-padding-y:0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight:700;--bs-badge-color:#fff;--bs-badge-border-radius:var(--bs-border-radius);border-radius:var(--bs-badge-border-radius);color:var(--bs-badge-color);display:inline-block;font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);text-align:center;vertical-align:baseline;white-space:nowrap}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg:transparent;--bs-alert-padding-x:1rem;--bs-alert-padding-y:1rem;--bs-alert-margin-bottom:1rem;--bs-alert-color:inherit;--bs-alert-border-color:transparent;--bs-alert-border:var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius:var(--bs-border-radius);--bs-alert-link-color:inherit;background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius);color:var(--bs-alert-color);margin-bottom:var(--bs-alert-margin-bottom);padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);position:relative}.alert-heading{color:inherit}.alert-link{color:var(--bs-alert-link-color);font-weight:700}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{padding:1.25rem 1rem;position:absolute;right:0;top:0;z-index:2}.alert-primary{--bs-alert-color:var(--bs-primary-text-emphasis);--bs-alert-bg:var(--bs-primary-bg-subtle);--bs-alert-border-color:var(--bs-primary-border-subtle);--bs-alert-link-color:var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color:var(--bs-secondary-text-emphasis);--bs-alert-bg:var(--bs-secondary-bg-subtle);--bs-alert-border-color:var(--bs-secondary-border-subtle);--bs-alert-link-color:var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color:var(--bs-success-text-emphasis);--bs-alert-bg:var(--bs-success-bg-subtle);--bs-alert-border-color:var(--bs-success-border-subtle);--bs-alert-link-color:var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color:var(--bs-info-text-emphasis);--bs-alert-bg:var(--bs-info-bg-subtle);--bs-alert-border-color:var(--bs-info-border-subtle);--bs-alert-link-color:var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color:var(--bs-warning-text-emphasis);--bs-alert-bg:var(--bs-warning-bg-subtle);--bs-alert-border-color:var(--bs-warning-border-subtle);--bs-alert-link-color:var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color:var(--bs-danger-text-emphasis);--bs-alert-bg:var(--bs-danger-bg-subtle);--bs-alert-border-color:var(--bs-danger-border-subtle);--bs-alert-link-color:var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color:var(--bs-light-text-emphasis);--bs-alert-bg:var(--bs-light-bg-subtle);--bs-alert-border-color:var(--bs-light-border-subtle);--bs-alert-link-color:var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color:var(--bs-dark-text-emphasis);--bs-alert-bg:var(--bs-dark-bg-subtle);--bs-alert-border-color:var(--bs-dark-border-subtle);--bs-alert-link-color:var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height:1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg:var(--bs-secondary-bg);--bs-progress-border-radius:var(--bs-border-radius);--bs-progress-box-shadow:var(--bs-box-shadow-inset);--bs-progress-bar-color:#fff;--bs-progress-bar-bg:#0d6efd;--bs-progress-bar-transition:width 0.6s ease;background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius);display:flex;font-size:var(--bs-progress-font-size);height:var(--bs-progress-height);overflow:hidden}.progress-bar{background-color:var(--bs-progress-bar-bg);color:var(--bs-progress-bar-color);display:flex;flex-direction:column;justify-content:center;overflow:hidden;text-align:center;transition:var(--bs-progress-bar-transition);white-space:nowrap}@media (prefers-reduced-motion:reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg,hsla(0,0%,100%,.15) 25%,transparent 0,transparent 50%,hsla(0,0%,100%,.15) 0,hsla(0,0%,100%,.15) 75%,transparent 0,transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:progress-bar-stripes 1s linear infinite}@media (prefers-reduced-motion:reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color:var(--bs-body-color);--bs-list-group-bg:var(--bs-body-bg);--bs-list-group-border-color:var(--bs-border-color);--bs-list-group-border-width:var(--bs-border-width);--bs-list-group-border-radius:var(--bs-border-radius);--bs-list-group-item-padding-x:1rem;--bs-list-group-item-padding-y:0.5rem;--bs-list-group-action-color:var(--bs-secondary-color);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-tertiary-bg);--bs-list-group-action-active-color:var(--bs-body-color);--bs-list-group-action-active-bg:var(--bs-secondary-bg);--bs-list-group-disabled-color:var(--bs-secondary-color);--bs-list-group-disabled-bg:var(--bs-body-bg);--bs-list-group-active-color:#fff;--bs-list-group-active-bg:#0d6efd;--bs-list-group-active-border-color:#0d6efd;border-radius:var(--bs-list-group-border-radius);display:flex;flex-direction:column;margin-bottom:0;padding-left:0}.list-group-numbered{counter-reset:section;list-style-type:none}.list-group-numbered>.list-group-item:before{content:counters(section,".") ". ";counter-increment:section}.list-group-item-action{color:var(--bs-list-group-action-color);text-align:inherit;width:100%}.list-group-item-action:focus,.list-group-item-action:hover{background-color:var(--bs-list-group-action-hover-bg);color:var(--bs-list-group-action-hover-color);text-decoration:none;z-index:1}.list-group-item-action:active{background-color:var(--bs-list-group-action-active-bg);color:var(--bs-list-group-action-active-color)}.list-group-item{background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color);color:var(--bs-list-group-color);display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);position:relative;text-decoration:none}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-left-radius:inherit;border-bottom-right-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{background-color:var(--bs-list-group-disabled-bg);color:var(--bs-list-group-disabled-color);pointer-events:none}.list-group-item.active{background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color);color:var(--bs-list-group-active-color);z-index:2}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{border-top-width:var(--bs-list-group-border-width);margin-top:calc(var(--bs-list-group-border-width)*-1)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}@media (min-width:540px){.list-group-horizontal-sm{flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media (min-width:720px){.list-group-horizontal-md{flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-md>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media (min-width:960px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media (min-width:1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color:var(--bs-primary-text-emphasis);--bs-list-group-bg:var(--bs-primary-bg-subtle);--bs-list-group-border-color:var(--bs-primary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-primary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-primary-border-subtle);--bs-list-group-active-color:var(--bs-primary-bg-subtle);--bs-list-group-active-bg:var(--bs-primary-text-emphasis);--bs-list-group-active-border-color:var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color:var(--bs-secondary-text-emphasis);--bs-list-group-bg:var(--bs-secondary-bg-subtle);--bs-list-group-border-color:var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-secondary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-secondary-border-subtle);--bs-list-group-active-color:var(--bs-secondary-bg-subtle);--bs-list-group-active-bg:var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color:var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color:var(--bs-success-text-emphasis);--bs-list-group-bg:var(--bs-success-bg-subtle);--bs-list-group-border-color:var(--bs-success-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-success-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-success-border-subtle);--bs-list-group-active-color:var(--bs-success-bg-subtle);--bs-list-group-active-bg:var(--bs-success-text-emphasis);--bs-list-group-active-border-color:var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color:var(--bs-info-text-emphasis);--bs-list-group-bg:var(--bs-info-bg-subtle);--bs-list-group-border-color:var(--bs-info-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-info-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-info-border-subtle);--bs-list-group-active-color:var(--bs-info-bg-subtle);--bs-list-group-active-bg:var(--bs-info-text-emphasis);--bs-list-group-active-border-color:var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color:var(--bs-warning-text-emphasis);--bs-list-group-bg:var(--bs-warning-bg-subtle);--bs-list-group-border-color:var(--bs-warning-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-warning-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-warning-border-subtle);--bs-list-group-active-color:var(--bs-warning-bg-subtle);--bs-list-group-active-bg:var(--bs-warning-text-emphasis);--bs-list-group-active-border-color:var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color:var(--bs-danger-text-emphasis);--bs-list-group-bg:var(--bs-danger-bg-subtle);--bs-list-group-border-color:var(--bs-danger-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-danger-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-danger-border-subtle);--bs-list-group-active-color:var(--bs-danger-bg-subtle);--bs-list-group-active-bg:var(--bs-danger-text-emphasis);--bs-list-group-active-border-color:var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color:var(--bs-light-text-emphasis);--bs-list-group-bg:var(--bs-light-bg-subtle);--bs-list-group-border-color:var(--bs-light-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-light-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-light-border-subtle);--bs-list-group-active-color:var(--bs-light-bg-subtle);--bs-list-group-active-bg:var(--bs-light-text-emphasis);--bs-list-group-active-border-color:var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color:var(--bs-dark-text-emphasis);--bs-list-group-bg:var(--bs-dark-bg-subtle);--bs-list-group-border-color:var(--bs-dark-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-dark-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-dark-border-subtle);--bs-list-group-active-color:var(--bs-dark-bg-subtle);--bs-list-group-active-bg:var(--bs-dark-text-emphasis);--bs-list-group-active-border-color:var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color:#000;--bs-btn-close-bg:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3E%3Cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3E%3C/svg%3E");--bs-btn-close-opacity:0.5;--bs-btn-close-hover-opacity:0.75;--bs-btn-close-focus-shadow:0 0 0 0.1875rem var(--pst-color-accent);--bs-btn-close-focus-opacity:1;--bs-btn-close-disabled-opacity:0.25;--bs-btn-close-white-filter:invert(1) grayscale(100%) brightness(200%);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;box-sizing:content-box;height:1em;opacity:var(--bs-btn-close-opacity);padding:.25em;width:1em}.btn-close,.btn-close:hover{color:var(--bs-btn-close-color)}.btn-close:hover{opacity:var(--bs-btn-close-hover-opacity);text-decoration:none}.btn-close:focus{box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity);outline:0}.btn-close.disabled,.btn-close:disabled{opacity:var(--bs-btn-close-disabled-opacity);pointer-events:none;user-select:none}.btn-close-white,[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex:1090;--bs-toast-padding-x:0.75rem;--bs-toast-padding-y:0.5rem;--bs-toast-spacing:1.5rem;--bs-toast-max-width:350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg:rgba(var(--bs-body-bg-rgb),0.85);--bs-toast-border-width:var(--bs-border-width);--bs-toast-border-color:var(--bs-border-color-translucent);--bs-toast-border-radius:var(--bs-border-radius);--bs-toast-box-shadow:var(--bs-box-shadow);--bs-toast-header-color:var(--bs-secondary-color);--bs-toast-header-bg:rgba(var(--bs-body-bg-rgb),0.85);--bs-toast-header-border-color:var(--bs-border-color-translucent);background-clip:padding-box;background-color:var(--bs-toast-bg);border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);border-radius:var(--bs-toast-border-radius);box-shadow:var(--bs-toast-box-shadow);color:var(--bs-toast-color);font-size:var(--bs-toast-font-size);max-width:100%;pointer-events:auto;width:var(--bs-toast-max-width)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex:1090;max-width:100%;pointer-events:none;position:absolute;width:max-content;z-index:var(--bs-toast-zindex)}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{align-items:center;background-clip:padding-box;background-color:var(--bs-toast-header-bg);border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));color:var(--bs-toast-header-color);display:flex;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x)}.toast-header .btn-close{margin-left:var(--bs-toast-padding-x);margin-right:calc(var(--bs-toast-padding-x)*-.5)}.toast-body{word-wrap:break-word;padding:var(--bs-toast-padding-x)}.modal{--bs-modal-zindex:1055;--bs-modal-width:500px;--bs-modal-padding:1rem;--bs-modal-margin:0.5rem;--bs-modal-color: ;--bs-modal-bg:var(--bs-body-bg);--bs-modal-border-color:var(--bs-border-color-translucent);--bs-modal-border-width:var(--bs-border-width);--bs-modal-border-radius:var(--bs-border-radius-lg);--bs-modal-box-shadow:var(--bs-box-shadow-sm);--bs-modal-inner-border-radius:calc(var(--bs-border-radius-lg) - var(--bs-border-width));--bs-modal-header-padding-x:1rem;--bs-modal-header-padding-y:1rem;--bs-modal-header-padding:1rem 1rem;--bs-modal-header-border-color:var(--bs-border-color);--bs-modal-header-border-width:var(--bs-border-width);--bs-modal-title-line-height:1.5;--bs-modal-footer-gap:0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color:var(--bs-border-color);--bs-modal-footer-border-width:var(--bs-border-width);display:none;height:100%;left:0;outline:0;overflow-x:hidden;overflow-y:auto;position:fixed;top:0;width:100%;z-index:var(--bs-modal-zindex)}.modal-dialog{margin:var(--bs-modal-margin);pointer-events:none;position:relative;width:auto}.modal.fade .modal-dialog{transform:translateY(-50px);transition:transform .3s ease-out}@media (prefers-reduced-motion:reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin)*2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{align-items:center;display:flex;min-height:calc(100% - 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--bs-cyan: #0dcaf0;\n  --bs-black: #000;\n  --bs-white: #fff;\n  --bs-gray: #6c757d;\n  --bs-gray-dark: #343a40;\n  --bs-gray-100: #f8f9fa;\n  --bs-gray-200: #e9ecef;\n  --bs-gray-300: #dee2e6;\n  --bs-gray-400: #ced4da;\n  --bs-gray-500: #adb5bd;\n  --bs-gray-600: #6c757d;\n  --bs-gray-700: #495057;\n  --bs-gray-800: #343a40;\n  --bs-gray-900: #212529;\n  --bs-primary: #0d6efd;\n  --bs-secondary: #6c757d;\n  --bs-success: #198754;\n  --bs-info: #0dcaf0;\n  --bs-warning: #ffc107;\n  --bs-danger: #dc3545;\n  --bs-light: #f8f9fa;\n  --bs-dark: #212529;\n  --bs-primary-rgb: 13, 110, 253;\n  --bs-secondary-rgb: 108, 117, 125;\n  --bs-success-rgb: 25, 135, 84;\n  --bs-info-rgb: 13, 202, 240;\n  --bs-warning-rgb: 255, 193, 7;\n  --bs-danger-rgb: 220, 53, 69;\n  --bs-light-rgb: 248, 249, 250;\n  --bs-dark-rgb: 33, 37, 41;\n  --bs-primary-text-emphasis: #052c65;\n  --bs-secondary-text-emphasis: #2b2f32;\n  --bs-success-text-emphasis: #0a3622;\n  --bs-info-text-emphasis: #055160;\n  --bs-warning-text-emphasis: #664d03;\n  --bs-danger-text-emphasis: #58151c;\n  --bs-light-text-emphasis: #495057;\n  --bs-dark-text-emphasis: #495057;\n  --bs-primary-bg-subtle: #cfe2ff;\n  --bs-secondary-bg-subtle: #e2e3e5;\n  --bs-success-bg-subtle: #d1e7dd;\n  --bs-info-bg-subtle: #cff4fc;\n  --bs-warning-bg-subtle: #fff3cd;\n  --bs-danger-bg-subtle: #f8d7da;\n  --bs-light-bg-subtle: #fcfcfd;\n  --bs-dark-bg-subtle: #ced4da;\n  --bs-primary-border-subtle: #9ec5fe;\n  --bs-secondary-border-subtle: #c4c8cb;\n  --bs-success-border-subtle: #a3cfbb;\n  --bs-info-border-subtle: #9eeaf9;\n  --bs-warning-border-subtle: #ffe69c;\n  --bs-danger-border-subtle: #f1aeb5;\n  --bs-light-border-subtle: #e9ecef;\n  --bs-dark-border-subtle: #adb5bd;\n  --bs-white-rgb: 255, 255, 255;\n  --bs-black-rgb: 0, 0, 0;\n  --bs-font-sans-serif: system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n  --bs-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace;\n  --bs-gradient: linear-gradient(180deg, rgba(255, 255, 255, 0.15), rgba(255, 255, 255, 0));\n  --bs-body-font-family: var(--bs-font-sans-serif);\n  --bs-body-font-size: 1rem;\n  --bs-body-font-weight: 400;\n  --bs-body-line-height: 1.5;\n  --bs-body-color: #212529;\n  --bs-body-color-rgb: 33, 37, 41;\n  --bs-body-bg: #fff;\n  --bs-body-bg-rgb: 255, 255, 255;\n  --bs-emphasis-color: #000;\n  --bs-emphasis-color-rgb: 0, 0, 0;\n  --bs-secondary-color: rgba(33, 37, 41, 0.75);\n  --bs-secondary-color-rgb: 33, 37, 41;\n  --bs-secondary-bg: #e9ecef;\n  --bs-secondary-bg-rgb: 233, 236, 239;\n  --bs-tertiary-color: rgba(33, 37, 41, 0.5);\n  --bs-tertiary-color-rgb: 33, 37, 41;\n  --bs-tertiary-bg: #f8f9fa;\n  --bs-tertiary-bg-rgb: 248, 249, 250;\n  --bs-heading-color: inherit;\n  --bs-link-color: #0d6efd;\n  --bs-link-color-rgb: 13, 110, 253;\n  --bs-link-decoration: underline;\n  --bs-link-hover-color: #0a58ca;\n  --bs-link-hover-color-rgb: 10, 88, 202;\n  --bs-code-color: #d63384;\n  --bs-highlight-color: #212529;\n  --bs-highlight-bg: #fff3cd;\n  --bs-border-width: 1px;\n  --bs-border-style: solid;\n  --bs-border-color: #dee2e6;\n  --bs-border-color-translucent: rgba(0, 0, 0, 0.175);\n  --bs-border-radius: 0.375rem;\n  --bs-border-radius-sm: 0.25rem;\n  --bs-border-radius-lg: 0.5rem;\n  --bs-border-radius-xl: 1rem;\n  --bs-border-radius-xxl: 2rem;\n  --bs-border-radius-2xl: var(--bs-border-radius-xxl);\n  --bs-border-radius-pill: 50rem;\n  --bs-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);\n  --bs-box-shadow-sm: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);\n  --bs-box-shadow-lg: 0 1rem 3rem rgba(0, 0, 0, 0.175);\n  --bs-box-shadow-inset: inset 0 1px 2px rgba(0, 0, 0, 0.075);\n  --bs-focus-ring-width: 0.1875rem;\n  --bs-focus-ring-opacity: 1;\n  --bs-focus-ring-color: var(--pst-color-accent);\n  --bs-form-valid-color: #198754;\n  --bs-form-valid-border-color: #198754;\n  --bs-form-invalid-color: #dc3545;\n  --bs-form-invalid-border-color: #dc3545;\n}\n\n[data-bs-theme=dark] {\n  color-scheme: dark;\n  --bs-body-color: #dee2e6;\n  --bs-body-color-rgb: 222, 226, 230;\n  --bs-body-bg: #212529;\n  --bs-body-bg-rgb: 33, 37, 41;\n  --bs-emphasis-color: #fff;\n  --bs-emphasis-color-rgb: 255, 255, 255;\n  --bs-secondary-color: rgba(222, 226, 230, 0.75);\n  --bs-secondary-color-rgb: 222, 226, 230;\n  --bs-secondary-bg: #343a40;\n  --bs-secondary-bg-rgb: 52, 58, 64;\n  --bs-tertiary-color: rgba(222, 226, 230, 0.5);\n  --bs-tertiary-color-rgb: 222, 226, 230;\n  --bs-tertiary-bg: #2b3035;\n  --bs-tertiary-bg-rgb: 43, 48, 53;\n  --bs-primary-text-emphasis: #6ea8fe;\n  --bs-secondary-text-emphasis: #a7acb1;\n  --bs-success-text-emphasis: #75b798;\n  --bs-info-text-emphasis: #6edff6;\n  --bs-warning-text-emphasis: #ffda6a;\n  --bs-danger-text-emphasis: #ea868f;\n  --bs-light-text-emphasis: #f8f9fa;\n  --bs-dark-text-emphasis: #dee2e6;\n  --bs-primary-bg-subtle: #031633;\n  --bs-secondary-bg-subtle: #161719;\n  --bs-success-bg-subtle: #051b11;\n  --bs-info-bg-subtle: #032830;\n  --bs-warning-bg-subtle: #332701;\n  --bs-danger-bg-subtle: #2c0b0e;\n  --bs-light-bg-subtle: #343a40;\n  --bs-dark-bg-subtle: #1a1d20;\n  --bs-primary-border-subtle: #084298;\n  --bs-secondary-border-subtle: #41464b;\n  --bs-success-border-subtle: #0f5132;\n  --bs-info-border-subtle: #087990;\n  --bs-warning-border-subtle: #997404;\n  --bs-danger-border-subtle: #842029;\n  --bs-light-border-subtle: #495057;\n  --bs-dark-border-subtle: #343a40;\n  --bs-heading-color: inherit;\n  --bs-link-color: #6ea8fe;\n  --bs-link-hover-color: #8bb9fe;\n  --bs-link-color-rgb: 110, 168, 254;\n  --bs-link-hover-color-rgb: 139, 185, 254;\n  --bs-code-color: #e685b5;\n  --bs-highlight-color: #dee2e6;\n  --bs-highlight-bg: #664d03;\n  --bs-border-color: #495057;\n  --bs-border-color-translucent: rgba(255, 255, 255, 0.15);\n  --bs-form-valid-color: #75b798;\n  --bs-form-valid-border-color: #75b798;\n  --bs-form-invalid-color: #ea868f;\n  --bs-form-invalid-border-color: #ea868f;\n}\n\n*,\n*::before,\n*::after {\n  box-sizing: border-box;\n}\n\n@media (prefers-reduced-motion: no-preference) {\n  :root {\n    scroll-behavior: smooth;\n  }\n}\n\nbody {\n  margin: 0;\n  font-family: var(--bs-body-font-family);\n  font-size: var(--bs-body-font-size);\n  font-weight: var(--bs-body-font-weight);\n  line-height: var(--bs-body-line-height);\n  color: var(--bs-body-color);\n  text-align: var(--bs-body-text-align);\n  background-color: var(--bs-body-bg);\n  -webkit-text-size-adjust: 100%;\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\n\nhr {\n  margin: 1rem 0;\n  color: inherit;\n  border: 0;\n  border-top: var(--bs-border-width) solid;\n  opacity: 0.25;\n}\n\nh6, .h6, h5, .h5, h4, .h4, h3, .h3, h2, .h2, h1, .h1 {\n  margin-top: 0;\n  margin-bottom: 0.5rem;\n  font-weight: 500;\n  line-height: 1.2;\n  color: var(--bs-heading-color);\n}\n\nh1, .h1 {\n  font-size: calc(1.375rem + 1.5vw);\n}\n@media (min-width: 1200px) {\n  h1, .h1 {\n    font-size: 2.5rem;\n  }\n}\n\nh2, .h2 {\n  font-size: calc(1.325rem + 0.9vw);\n}\n@media (min-width: 1200px) {\n  h2, .h2 {\n    font-size: 2rem;\n  }\n}\n\nh3, .h3 {\n  font-size: calc(1.3rem + 0.6vw);\n}\n@media (min-width: 1200px) {\n  h3, .h3 {\n    font-size: 1.75rem;\n  }\n}\n\nh4, .h4 {\n  font-size: calc(1.275rem + 0.3vw);\n}\n@media (min-width: 1200px) {\n  h4, .h4 {\n    font-size: 1.5rem;\n  }\n}\n\nh5, .h5 {\n  font-size: 1.25rem;\n}\n\nh6, .h6 {\n  font-size: 1rem;\n}\n\np {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\nabbr[title] {\n  text-decoration: underline dotted;\n  cursor: help;\n  text-decoration-skip-ink: none;\n}\n\naddress {\n  margin-bottom: 1rem;\n  font-style: normal;\n  line-height: inherit;\n}\n\nol,\nul {\n  padding-left: 2rem;\n}\n\nol,\nul,\ndl {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\nol ol,\nul ul,\nol ul,\nul ol {\n  margin-bottom: 0;\n}\n\ndt {\n  font-weight: 700;\n}\n\ndd {\n  margin-bottom: 0.5rem;\n  margin-left: 0;\n}\n\nblockquote {\n  margin: 0 0 1rem;\n}\n\nb,\nstrong {\n  font-weight: bolder;\n}\n\nsmall, .small {\n  font-size: 0.875em;\n}\n\nmark, .mark {\n  padding: 0.1875em;\n  color: var(--bs-highlight-color);\n  background-color: var(--bs-highlight-bg);\n}\n\nsub,\nsup {\n  position: relative;\n  font-size: 0.75em;\n  line-height: 0;\n  vertical-align: baseline;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\nsup {\n  top: -0.5em;\n}\n\na {\n  color: rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 1));\n  text-decoration: underline;\n}\na:hover {\n  --bs-link-color-rgb: var(--bs-link-hover-color-rgb);\n}\n\na:not([href]):not([class]), a:not([href]):not([class]):hover {\n  color: inherit;\n  text-decoration: none;\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--bs-font-monospace);\n  font-size: 1em;\n}\n\npre {\n  display: block;\n  margin-top: 0;\n  margin-bottom: 1rem;\n  overflow: auto;\n  font-size: 0.875em;\n}\npre code {\n  font-size: inherit;\n  color: inherit;\n  word-break: normal;\n}\n\ncode {\n  font-size: 0.875em;\n  color: var(--bs-code-color);\n  word-wrap: break-word;\n}\na > code {\n  color: inherit;\n}\n\nkbd {\n  padding: 0.1875rem 0.375rem;\n  font-size: 0.875em;\n  color: var(--bs-body-bg);\n  background-color: var(--bs-body-color);\n  border-radius: 0.25rem;\n}\nkbd kbd {\n  padding: 0;\n  font-size: 1em;\n}\n\nfigure {\n  margin: 0 0 1rem;\n}\n\nimg,\nsvg {\n  vertical-align: middle;\n}\n\ntable {\n  caption-side: bottom;\n  border-collapse: collapse;\n}\n\ncaption {\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  color: var(--bs-secondary-color);\n  text-align: left;\n}\n\nth {\n  text-align: inherit;\n  text-align: -webkit-match-parent;\n}\n\nthead,\ntbody,\ntfoot,\ntr,\ntd,\nth {\n  border-color: inherit;\n  border-style: solid;\n  border-width: 0;\n}\n\nlabel {\n  display: inline-block;\n}\n\nbutton {\n  border-radius: 0;\n}\n\nbutton:focus:not(:focus-visible) {\n  outline: 0;\n}\n\ninput,\nbutton,\nselect,\noptgroup,\ntextarea {\n  margin: 0;\n  font-family: inherit;\n  font-size: inherit;\n  line-height: inherit;\n}\n\nbutton,\nselect {\n  text-transform: none;\n}\n\n[role=button] {\n  cursor: pointer;\n}\n\nselect {\n  word-wrap: normal;\n}\nselect:disabled {\n  opacity: 1;\n}\n\n[list]:not([type=date]):not([type=datetime-local]):not([type=month]):not([type=week]):not([type=time])::-webkit-calendar-picker-indicator {\n  display: none !important;\n}\n\nbutton,\n[type=button],\n[type=reset],\n[type=submit] {\n  -webkit-appearance: button;\n}\nbutton:not(:disabled),\n[type=button]:not(:disabled),\n[type=reset]:not(:disabled),\n[type=submit]:not(:disabled) {\n  cursor: pointer;\n}\n\n::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n}\n\ntextarea {\n  resize: vertical;\n}\n\nfieldset {\n  min-width: 0;\n  padding: 0;\n  margin: 0;\n  border: 0;\n}\n\nlegend {\n  float: left;\n  width: 100%;\n  padding: 0;\n  margin-bottom: 0.5rem;\n  font-size: calc(1.275rem + 0.3vw);\n  line-height: inherit;\n}\n@media (min-width: 1200px) {\n  legend {\n    font-size: 1.5rem;\n  }\n}\nlegend + * {\n  clear: left;\n}\n\n::-webkit-datetime-edit-fields-wrapper,\n::-webkit-datetime-edit-text,\n::-webkit-datetime-edit-minute,\n::-webkit-datetime-edit-hour-field,\n::-webkit-datetime-edit-day-field,\n::-webkit-datetime-edit-month-field,\n::-webkit-datetime-edit-year-field {\n  padding: 0;\n}\n\n::-webkit-inner-spin-button {\n  height: auto;\n}\n\n[type=search] {\n  -webkit-appearance: textfield;\n  outline-offset: -2px;\n}\n\n/* rtl:raw:\n[type=\"tel\"],\n[type=\"url\"],\n[type=\"email\"],\n[type=\"number\"] {\n  direction: ltr;\n}\n*/\n::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n::-webkit-color-swatch-wrapper {\n  padding: 0;\n}\n\n::file-selector-button {\n  font: inherit;\n  -webkit-appearance: button;\n}\n\noutput {\n  display: inline-block;\n}\n\niframe {\n  border: 0;\n}\n\nsummary {\n  display: list-item;\n  cursor: pointer;\n}\n\nprogress {\n  vertical-align: baseline;\n}\n\n[hidden] {\n  display: none !important;\n}\n\n.lead {\n  font-size: 1.25rem;\n  font-weight: 300;\n}\n\n.display-1 {\n  font-size: calc(1.625rem + 4.5vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-1 {\n    font-size: 5rem;\n  }\n}\n\n.display-2 {\n  font-size: calc(1.575rem + 3.9vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-2 {\n    font-size: 4.5rem;\n  }\n}\n\n.display-3 {\n  font-size: calc(1.525rem + 3.3vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-3 {\n    font-size: 4rem;\n  }\n}\n\n.display-4 {\n  font-size: calc(1.475rem + 2.7vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-4 {\n    font-size: 3.5rem;\n  }\n}\n\n.display-5 {\n  font-size: calc(1.425rem + 2.1vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-5 {\n    font-size: 3rem;\n  }\n}\n\n.display-6 {\n  font-size: calc(1.375rem + 1.5vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-6 {\n    font-size: 2.5rem;\n  }\n}\n\n.list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n\n.list-inline {\n  padding-left: 0;\n  list-style: none;\n}\n\n.list-inline-item {\n  display: inline-block;\n}\n.list-inline-item:not(:last-child) {\n  margin-right: 0.5rem;\n}\n\n.initialism {\n  font-size: 0.875em;\n  text-transform: uppercase;\n}\n\n.blockquote {\n  margin-bottom: 1rem;\n  font-size: 1.25rem;\n}\n.blockquote > :last-child {\n  margin-bottom: 0;\n}\n\n.blockquote-footer {\n  margin-top: -1rem;\n  margin-bottom: 1rem;\n  font-size: 0.875em;\n  color: #6c757d;\n}\n.blockquote-footer::before {\n  content: \"— \";\n}\n\n.img-fluid {\n  max-width: 100%;\n  height: auto;\n}\n\n.img-thumbnail {\n  padding: 0.25rem;\n  background-color: var(--bs-body-bg);\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  border-radius: var(--bs-border-radius);\n  max-width: 100%;\n  height: auto;\n}\n\n.figure {\n  display: inline-block;\n}\n\n.figure-img {\n  margin-bottom: 0.5rem;\n  line-height: 1;\n}\n\n.figure-caption {\n  font-size: 0.875em;\n  color: var(--bs-secondary-color);\n}\n\n.container,\n.container-fluid,\n.container-xl,\n.container-lg,\n.container-md,\n.container-sm {\n  --bs-gutter-x: 1.5rem;\n  --bs-gutter-y: 0;\n  width: 100%;\n  padding-right: calc(var(--bs-gutter-x) * 0.5);\n  padding-left: calc(var(--bs-gutter-x) * 0.5);\n  margin-right: auto;\n  margin-left: auto;\n}\n\n@media (min-width: 540px) {\n  .container-sm, .container {\n    max-width: 540px;\n  }\n}\n@media (min-width: 720px) {\n  .container-md, .container-sm, .container {\n    max-width: 720px;\n  }\n}\n@media (min-width: 960px) {\n  .container-lg, .container-md, .container-sm, .container {\n    max-width: 960px;\n  }\n}\n@media (min-width: 1200px) {\n  .container-xl, .container-lg, .container-md, .container-sm, .container {\n    max-width: 1400px;\n  }\n}\n:root {\n  --bs-breakpoint-xs: 0;\n  --bs-breakpoint-sm: 540px;\n  --bs-breakpoint-md: 720px;\n  --bs-breakpoint-lg: 960px;\n  --bs-breakpoint-xl: 1200px;\n}\n\n.row {\n  --bs-gutter-x: 1.5rem;\n  --bs-gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  margin-top: calc(-1 * var(--bs-gutter-y));\n  margin-right: calc(-0.5 * var(--bs-gutter-x));\n  margin-left: calc(-0.5 * var(--bs-gutter-x));\n}\n.row > * {\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%;\n  padding-right: calc(var(--bs-gutter-x) * 0.5);\n  padding-left: calc(var(--bs-gutter-x) * 0.5);\n  margin-top: var(--bs-gutter-y);\n}\n\n.col {\n  flex: 1 0 0%;\n}\n\n.row-cols-auto > * {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n.row-cols-1 > * {\n  flex: 0 0 auto;\n  width: 100%;\n}\n\n.row-cols-2 > * {\n  flex: 0 0 auto;\n  width: 50%;\n}\n\n.row-cols-3 > * {\n  flex: 0 0 auto;\n  width: 33.33333333%;\n}\n\n.row-cols-4 > * {\n  flex: 0 0 auto;\n  width: 25%;\n}\n\n.row-cols-5 > * {\n  flex: 0 0 auto;\n  width: 20%;\n}\n\n.row-cols-6 > * {\n  flex: 0 0 auto;\n  width: 16.66666667%;\n}\n\n.col-auto {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n.col-1 {\n  flex: 0 0 auto;\n  width: 8.33333333%;\n}\n\n.col-2 {\n  flex: 0 0 auto;\n  width: 16.66666667%;\n}\n\n.col-3 {\n  flex: 0 0 auto;\n  width: 25%;\n}\n\n.col-4 {\n  flex: 0 0 auto;\n  width: 33.33333333%;\n}\n\n.col-5 {\n  flex: 0 0 auto;\n  width: 41.66666667%;\n}\n\n.col-6 {\n  flex: 0 0 auto;\n  width: 50%;\n}\n\n.col-7 {\n  flex: 0 0 auto;\n  width: 58.33333333%;\n}\n\n.col-8 {\n  flex: 0 0 auto;\n  width: 66.66666667%;\n}\n\n.col-9 {\n  flex: 0 0 auto;\n  width: 75%;\n}\n\n.col-10 {\n  flex: 0 0 auto;\n  width: 83.33333333%;\n}\n\n.col-11 {\n  flex: 0 0 auto;\n  width: 91.66666667%;\n}\n\n.col-12 {\n  flex: 0 0 auto;\n  width: 100%;\n}\n\n.offset-1 {\n  margin-left: 8.33333333%;\n}\n\n.offset-2 {\n  margin-left: 16.66666667%;\n}\n\n.offset-3 {\n  margin-left: 25%;\n}\n\n.offset-4 {\n  margin-left: 33.33333333%;\n}\n\n.offset-5 {\n  margin-left: 41.66666667%;\n}\n\n.offset-6 {\n  margin-left: 50%;\n}\n\n.offset-7 {\n  margin-left: 58.33333333%;\n}\n\n.offset-8 {\n  margin-left: 66.66666667%;\n}\n\n.offset-9 {\n  margin-left: 75%;\n}\n\n.offset-10 {\n  margin-left: 83.33333333%;\n}\n\n.offset-11 {\n  margin-left: 91.66666667%;\n}\n\n.g-0,\n.gx-0 {\n  --bs-gutter-x: 0;\n}\n\n.g-0,\n.gy-0 {\n  --bs-gutter-y: 0;\n}\n\n.g-1,\n.gx-1 {\n  --bs-gutter-x: 0.25rem;\n}\n\n.g-1,\n.gy-1 {\n  --bs-gutter-y: 0.25rem;\n}\n\n.g-2,\n.gx-2 {\n  --bs-gutter-x: 0.5rem;\n}\n\n.g-2,\n.gy-2 {\n  --bs-gutter-y: 0.5rem;\n}\n\n.g-3,\n.gx-3 {\n  --bs-gutter-x: 1rem;\n}\n\n.g-3,\n.gy-3 {\n  --bs-gutter-y: 1rem;\n}\n\n.g-4,\n.gx-4 {\n  --bs-gutter-x: 1.5rem;\n}\n\n.g-4,\n.gy-4 {\n  --bs-gutter-y: 1.5rem;\n}\n\n.g-5,\n.gx-5 {\n  --bs-gutter-x: 3rem;\n}\n\n.g-5,\n.gy-5 {\n  --bs-gutter-y: 3rem;\n}\n\n@media (min-width: 540px) {\n  .col-sm {\n    flex: 1 0 0%;\n  }\n  .row-cols-sm-auto > * {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .row-cols-sm-1 > * {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .row-cols-sm-2 > * {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .row-cols-sm-3 > * {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .row-cols-sm-4 > * {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .row-cols-sm-5 > * {\n    flex: 0 0 auto;\n    width: 20%;\n  }\n  .row-cols-sm-6 > * {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-sm-auto {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .col-sm-1 {\n    flex: 0 0 auto;\n    width: 8.33333333%;\n  }\n  .col-sm-2 {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-sm-3 {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .col-sm-4 {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .col-sm-5 {\n    flex: 0 0 auto;\n    width: 41.66666667%;\n  }\n  .col-sm-6 {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .col-sm-7 {\n    flex: 0 0 auto;\n    width: 58.33333333%;\n  }\n  .col-sm-8 {\n    flex: 0 0 auto;\n    width: 66.66666667%;\n  }\n  .col-sm-9 {\n    flex: 0 0 auto;\n    width: 75%;\n  }\n  .col-sm-10 {\n    flex: 0 0 auto;\n    width: 83.33333333%;\n  }\n  .col-sm-11 {\n    flex: 0 0 auto;\n    width: 91.66666667%;\n  }\n  .col-sm-12 {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .offset-sm-0 {\n    margin-left: 0;\n  }\n  .offset-sm-1 {\n    margin-left: 8.33333333%;\n  }\n  .offset-sm-2 {\n    margin-left: 16.66666667%;\n  }\n  .offset-sm-3 {\n    margin-left: 25%;\n  }\n  .offset-sm-4 {\n    margin-left: 33.33333333%;\n  }\n  .offset-sm-5 {\n    margin-left: 41.66666667%;\n  }\n  .offset-sm-6 {\n    margin-left: 50%;\n  }\n  .offset-sm-7 {\n    margin-left: 58.33333333%;\n  }\n  .offset-sm-8 {\n    margin-left: 66.66666667%;\n  }\n  .offset-sm-9 {\n    margin-left: 75%;\n  }\n  .offset-sm-10 {\n    margin-left: 83.33333333%;\n  }\n  .offset-sm-11 {\n    margin-left: 91.66666667%;\n  }\n  .g-sm-0,\n  .gx-sm-0 {\n    --bs-gutter-x: 0;\n  }\n  .g-sm-0,\n  .gy-sm-0 {\n    --bs-gutter-y: 0;\n  }\n  .g-sm-1,\n  .gx-sm-1 {\n    --bs-gutter-x: 0.25rem;\n  }\n  .g-sm-1,\n  .gy-sm-1 {\n    --bs-gutter-y: 0.25rem;\n  }\n  .g-sm-2,\n  .gx-sm-2 {\n    --bs-gutter-x: 0.5rem;\n  }\n  .g-sm-2,\n  .gy-sm-2 {\n    --bs-gutter-y: 0.5rem;\n  }\n  .g-sm-3,\n  .gx-sm-3 {\n    --bs-gutter-x: 1rem;\n  }\n  .g-sm-3,\n  .gy-sm-3 {\n    --bs-gutter-y: 1rem;\n  }\n  .g-sm-4,\n  .gx-sm-4 {\n    --bs-gutter-x: 1.5rem;\n  }\n  .g-sm-4,\n  .gy-sm-4 {\n    --bs-gutter-y: 1.5rem;\n  }\n  .g-sm-5,\n  .gx-sm-5 {\n    --bs-gutter-x: 3rem;\n  }\n  .g-sm-5,\n  .gy-sm-5 {\n    --bs-gutter-y: 3rem;\n  }\n}\n@media (min-width: 720px) {\n  .col-md {\n    flex: 1 0 0%;\n  }\n  .row-cols-md-auto > * {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .row-cols-md-1 > * {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .row-cols-md-2 > * {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .row-cols-md-3 > * {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .row-cols-md-4 > * {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .row-cols-md-5 > * {\n    flex: 0 0 auto;\n    width: 20%;\n  }\n  .row-cols-md-6 > * {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-md-auto {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .col-md-1 {\n    flex: 0 0 auto;\n    width: 8.33333333%;\n  }\n  .col-md-2 {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-md-3 {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .col-md-4 {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .col-md-5 {\n    flex: 0 0 auto;\n    width: 41.66666667%;\n  }\n  .col-md-6 {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .col-md-7 {\n    flex: 0 0 auto;\n    width: 58.33333333%;\n  }\n  .col-md-8 {\n    flex: 0 0 auto;\n    width: 66.66666667%;\n  }\n  .col-md-9 {\n    flex: 0 0 auto;\n    width: 75%;\n  }\n  .col-md-10 {\n    flex: 0 0 auto;\n    width: 83.33333333%;\n  }\n  .col-md-11 {\n    flex: 0 0 auto;\n    width: 91.66666667%;\n  }\n  .col-md-12 {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .offset-md-0 {\n    margin-left: 0;\n  }\n  .offset-md-1 {\n    margin-left: 8.33333333%;\n  }\n  .offset-md-2 {\n    margin-left: 16.66666667%;\n  }\n  .offset-md-3 {\n    margin-left: 25%;\n  }\n  .offset-md-4 {\n    margin-left: 33.33333333%;\n  }\n  .offset-md-5 {\n    margin-left: 41.66666667%;\n  }\n  .offset-md-6 {\n    margin-left: 50%;\n  }\n  .offset-md-7 {\n    margin-left: 58.33333333%;\n  }\n  .offset-md-8 {\n    margin-left: 66.66666667%;\n  }\n  .offset-md-9 {\n    margin-left: 75%;\n  }\n  .offset-md-10 {\n    margin-left: 83.33333333%;\n  }\n  .offset-md-11 {\n    margin-left: 91.66666667%;\n  }\n  .g-md-0,\n  .gx-md-0 {\n    --bs-gutter-x: 0;\n  }\n  .g-md-0,\n  .gy-md-0 {\n    --bs-gutter-y: 0;\n  }\n  .g-md-1,\n  .gx-md-1 {\n    --bs-gutter-x: 0.25rem;\n  }\n  .g-md-1,\n  .gy-md-1 {\n    --bs-gutter-y: 0.25rem;\n  }\n  .g-md-2,\n  .gx-md-2 {\n    --bs-gutter-x: 0.5rem;\n  }\n  .g-md-2,\n  .gy-md-2 {\n    --bs-gutter-y: 0.5rem;\n  }\n  .g-md-3,\n  .gx-md-3 {\n    --bs-gutter-x: 1rem;\n  }\n  .g-md-3,\n  .gy-md-3 {\n    --bs-gutter-y: 1rem;\n  }\n  .g-md-4,\n  .gx-md-4 {\n    --bs-gutter-x: 1.5rem;\n  }\n  .g-md-4,\n  .gy-md-4 {\n    --bs-gutter-y: 1.5rem;\n  }\n  .g-md-5,\n  .gx-md-5 {\n    --bs-gutter-x: 3rem;\n  }\n  .g-md-5,\n  .gy-md-5 {\n    --bs-gutter-y: 3rem;\n  }\n}\n@media (min-width: 960px) {\n  .col-lg {\n    flex: 1 0 0%;\n  }\n  .row-cols-lg-auto > * {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .row-cols-lg-1 > * {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .row-cols-lg-2 > * {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .row-cols-lg-3 > * {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .row-cols-lg-4 > * {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .row-cols-lg-5 > * {\n    flex: 0 0 auto;\n    width: 20%;\n  }\n  .row-cols-lg-6 > * {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-lg-auto {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .col-lg-1 {\n    flex: 0 0 auto;\n    width: 8.33333333%;\n  }\n  .col-lg-2 {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-lg-3 {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .col-lg-4 {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .col-lg-5 {\n    flex: 0 0 auto;\n    width: 41.66666667%;\n  }\n  .col-lg-6 {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .col-lg-7 {\n    flex: 0 0 auto;\n    width: 58.33333333%;\n  }\n  .col-lg-8 {\n    flex: 0 0 auto;\n    width: 66.66666667%;\n  }\n  .col-lg-9 {\n    flex: 0 0 auto;\n    width: 75%;\n  }\n  .col-lg-10 {\n    flex: 0 0 auto;\n    width: 83.33333333%;\n  }\n  .col-lg-11 {\n    flex: 0 0 auto;\n    width: 91.66666667%;\n  }\n  .col-lg-12 {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .offset-lg-0 {\n    margin-left: 0;\n  }\n  .offset-lg-1 {\n    margin-left: 8.33333333%;\n  }\n  .offset-lg-2 {\n    margin-left: 16.66666667%;\n  }\n  .offset-lg-3 {\n    margin-left: 25%;\n  }\n  .offset-lg-4 {\n    margin-left: 33.33333333%;\n  }\n  .offset-lg-5 {\n    margin-left: 41.66666667%;\n  }\n  .offset-lg-6 {\n    margin-left: 50%;\n  }\n  .offset-lg-7 {\n    margin-left: 58.33333333%;\n  }\n  .offset-lg-8 {\n    margin-left: 66.66666667%;\n  }\n  .offset-lg-9 {\n    margin-left: 75%;\n  }\n  .offset-lg-10 {\n    margin-left: 83.33333333%;\n  }\n  .offset-lg-11 {\n    margin-left: 91.66666667%;\n  }\n  .g-lg-0,\n  .gx-lg-0 {\n    --bs-gutter-x: 0;\n  }\n  .g-lg-0,\n  .gy-lg-0 {\n    --bs-gutter-y: 0;\n  }\n  .g-lg-1,\n  .gx-lg-1 {\n    --bs-gutter-x: 0.25rem;\n  }\n  .g-lg-1,\n  .gy-lg-1 {\n    --bs-gutter-y: 0.25rem;\n  }\n  .g-lg-2,\n  .gx-lg-2 {\n    --bs-gutter-x: 0.5rem;\n  }\n  .g-lg-2,\n  .gy-lg-2 {\n    --bs-gutter-y: 0.5rem;\n  }\n  .g-lg-3,\n  .gx-lg-3 {\n    --bs-gutter-x: 1rem;\n  }\n  .g-lg-3,\n  .gy-lg-3 {\n    --bs-gutter-y: 1rem;\n  }\n  .g-lg-4,\n  .gx-lg-4 {\n    --bs-gutter-x: 1.5rem;\n  }\n  .g-lg-4,\n  .gy-lg-4 {\n    --bs-gutter-y: 1.5rem;\n  }\n  .g-lg-5,\n  .gx-lg-5 {\n    --bs-gutter-x: 3rem;\n  }\n  .g-lg-5,\n  .gy-lg-5 {\n    --bs-gutter-y: 3rem;\n  }\n}\n@media (min-width: 1200px) {\n  .col-xl {\n    flex: 1 0 0%;\n  }\n  .row-cols-xl-auto > * {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .row-cols-xl-1 > * {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .row-cols-xl-2 > * {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .row-cols-xl-3 > * {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .row-cols-xl-4 > * {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .row-cols-xl-5 > * {\n    flex: 0 0 auto;\n    width: 20%;\n  }\n  .row-cols-xl-6 > * {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-xl-auto {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .col-xl-1 {\n    flex: 0 0 auto;\n    width: 8.33333333%;\n  }\n  .col-xl-2 {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-xl-3 {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .col-xl-4 {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .col-xl-5 {\n    flex: 0 0 auto;\n    width: 41.66666667%;\n  }\n  .col-xl-6 {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .col-xl-7 {\n    flex: 0 0 auto;\n    width: 58.33333333%;\n  }\n  .col-xl-8 {\n    flex: 0 0 auto;\n    width: 66.66666667%;\n  }\n  .col-xl-9 {\n    flex: 0 0 auto;\n    width: 75%;\n  }\n  .col-xl-10 {\n    flex: 0 0 auto;\n    width: 83.33333333%;\n  }\n  .col-xl-11 {\n    flex: 0 0 auto;\n    width: 91.66666667%;\n  }\n  .col-xl-12 {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .offset-xl-0 {\n    margin-left: 0;\n  }\n  .offset-xl-1 {\n    margin-left: 8.33333333%;\n  }\n  .offset-xl-2 {\n    margin-left: 16.66666667%;\n  }\n  .offset-xl-3 {\n    margin-left: 25%;\n  }\n  .offset-xl-4 {\n    margin-left: 33.33333333%;\n  }\n  .offset-xl-5 {\n    margin-left: 41.66666667%;\n  }\n  .offset-xl-6 {\n    margin-left: 50%;\n  }\n  .offset-xl-7 {\n    margin-left: 58.33333333%;\n  }\n  .offset-xl-8 {\n    margin-left: 66.66666667%;\n  }\n  .offset-xl-9 {\n    margin-left: 75%;\n  }\n  .offset-xl-10 {\n    margin-left: 83.33333333%;\n  }\n  .offset-xl-11 {\n    margin-left: 91.66666667%;\n  }\n  .g-xl-0,\n  .gx-xl-0 {\n    --bs-gutter-x: 0;\n  }\n  .g-xl-0,\n  .gy-xl-0 {\n    --bs-gutter-y: 0;\n  }\n  .g-xl-1,\n  .gx-xl-1 {\n    --bs-gutter-x: 0.25rem;\n  }\n  .g-xl-1,\n  .gy-xl-1 {\n    --bs-gutter-y: 0.25rem;\n  }\n  .g-xl-2,\n  .gx-xl-2 {\n    --bs-gutter-x: 0.5rem;\n  }\n  .g-xl-2,\n  .gy-xl-2 {\n    --bs-gutter-y: 0.5rem;\n  }\n  .g-xl-3,\n  .gx-xl-3 {\n    --bs-gutter-x: 1rem;\n  }\n  .g-xl-3,\n  .gy-xl-3 {\n    --bs-gutter-y: 1rem;\n  }\n  .g-xl-4,\n  .gx-xl-4 {\n    --bs-gutter-x: 1.5rem;\n  }\n  .g-xl-4,\n  .gy-xl-4 {\n    --bs-gutter-y: 1.5rem;\n  }\n  .g-xl-5,\n  .gx-xl-5 {\n    --bs-gutter-x: 3rem;\n  }\n  .g-xl-5,\n  .gy-xl-5 {\n    --bs-gutter-y: 3rem;\n  }\n}\n.table {\n  --bs-table-color-type: initial;\n  --bs-table-bg-type: initial;\n  --bs-table-color-state: initial;\n  --bs-table-bg-state: initial;\n  --bs-table-color: var(--bs-emphasis-color);\n  --bs-table-bg: var(--bs-body-bg);\n  --bs-table-border-color: var(--bs-border-color);\n  --bs-table-accent-bg: transparent;\n  --bs-table-striped-color: var(--bs-emphasis-color);\n  --bs-table-striped-bg: rgba(var(--bs-emphasis-color-rgb), 0.05);\n  --bs-table-active-color: var(--bs-emphasis-color);\n  --bs-table-active-bg: rgba(var(--bs-emphasis-color-rgb), 0.1);\n  --bs-table-hover-color: var(--bs-emphasis-color);\n  --bs-table-hover-bg: rgba(var(--bs-emphasis-color-rgb), 0.075);\n  width: 100%;\n  margin-bottom: 1rem;\n  vertical-align: top;\n  border-color: var(--bs-table-border-color);\n}\n.table > :not(caption) > * > * {\n  padding: 0.5rem 0.5rem;\n  color: var(--bs-table-color-state, var(--bs-table-color-type, var(--bs-table-color)));\n  background-color: var(--bs-table-bg);\n  border-bottom-width: var(--bs-border-width);\n  box-shadow: inset 0 0 0 9999px var(--bs-table-bg-state, var(--bs-table-bg-type, var(--bs-table-accent-bg)));\n}\n.table > tbody {\n  vertical-align: inherit;\n}\n.table > thead {\n  vertical-align: bottom;\n}\n\n.table-group-divider {\n  border-top: calc(var(--bs-border-width) * 2) solid currentcolor;\n}\n\n.caption-top {\n  caption-side: top;\n}\n\n.table-sm > :not(caption) > * > * {\n  padding: 0.25rem 0.25rem;\n}\n\n.table-bordered > :not(caption) > * {\n  border-width: var(--bs-border-width) 0;\n}\n.table-bordered > :not(caption) > * > * {\n  border-width: 0 var(--bs-border-width);\n}\n\n.table-borderless > :not(caption) > * > * {\n  border-bottom-width: 0;\n}\n.table-borderless > :not(:first-child) {\n  border-top-width: 0;\n}\n\n.table-striped > tbody > tr:nth-of-type(odd) > * {\n  --bs-table-color-type: var(--bs-table-striped-color);\n  --bs-table-bg-type: var(--bs-table-striped-bg);\n}\n\n.table-striped-columns > :not(caption) > tr > :nth-child(even) {\n  --bs-table-color-type: var(--bs-table-striped-color);\n  --bs-table-bg-type: var(--bs-table-striped-bg);\n}\n\n.table-active {\n  --bs-table-color-state: var(--bs-table-active-color);\n  --bs-table-bg-state: var(--bs-table-active-bg);\n}\n\n.table-hover > tbody > tr:hover > * {\n  --bs-table-color-state: var(--bs-table-hover-color);\n  --bs-table-bg-state: var(--bs-table-hover-bg);\n}\n\n.table-primary {\n  --bs-table-color: #000;\n  --bs-table-bg: #cfe2ff;\n  --bs-table-border-color: #a6b5cc;\n  --bs-table-striped-bg: #c5d7f2;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #bacbe6;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #bfd1ec;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-secondary {\n  --bs-table-color: #000;\n  --bs-table-bg: #e2e3e5;\n  --bs-table-border-color: #b5b6b7;\n  --bs-table-striped-bg: #d7d8da;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #cbccce;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #d1d2d4;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-success {\n  --bs-table-color: #000;\n  --bs-table-bg: #d1e7dd;\n  --bs-table-border-color: #a7b9b1;\n  --bs-table-striped-bg: #c7dbd2;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #bcd0c7;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #c1d6cc;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-info {\n  --bs-table-color: #000;\n  --bs-table-bg: #cff4fc;\n  --bs-table-border-color: #a6c3ca;\n  --bs-table-striped-bg: #c5e8ef;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #badce3;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #bfe2e9;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-warning {\n  --bs-table-color: #000;\n  --bs-table-bg: #fff3cd;\n  --bs-table-border-color: #ccc2a4;\n  --bs-table-striped-bg: #f2e7c3;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #e6dbb9;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #ece1be;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-danger {\n  --bs-table-color: #000;\n  --bs-table-bg: #f8d7da;\n  --bs-table-border-color: #c6acae;\n  --bs-table-striped-bg: #eccccf;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #dfc2c4;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #e5c7ca;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-light {\n  --bs-table-color: #000;\n  --bs-table-bg: #f8f9fa;\n  --bs-table-border-color: #c6c7c8;\n  --bs-table-striped-bg: #ecedee;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #dfe0e1;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #e5e6e7;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-dark {\n  --bs-table-color: #fff;\n  --bs-table-bg: #212529;\n  --bs-table-border-color: #4d5154;\n  --bs-table-striped-bg: #2c3034;\n  --bs-table-striped-color: #fff;\n  --bs-table-active-bg: #373b3e;\n  --bs-table-active-color: #fff;\n  --bs-table-hover-bg: #323539;\n  --bs-table-hover-color: #fff;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-responsive {\n  overflow-x: auto;\n  -webkit-overflow-scrolling: touch;\n}\n\n@media (max-width: 539.98px) {\n  .table-responsive-sm {\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n  }\n}\n@media (max-width: 719.98px) {\n  .table-responsive-md {\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n  }\n}\n@media (max-width: 959.98px) {\n  .table-responsive-lg {\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n  }\n}\n@media (max-width: 1199.98px) {\n  .table-responsive-xl {\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n  }\n}\n.form-label {\n  margin-bottom: 0.5rem;\n}\n\n.col-form-label {\n  padding-top: calc(0.375rem + var(--bs-border-width));\n  padding-bottom: calc(0.375rem + var(--bs-border-width));\n  margin-bottom: 0;\n  font-size: inherit;\n  line-height: 1.5;\n}\n\n.col-form-label-lg {\n  padding-top: calc(0.5rem + var(--bs-border-width));\n  padding-bottom: calc(0.5rem + var(--bs-border-width));\n  font-size: 1.25rem;\n}\n\n.col-form-label-sm {\n  padding-top: calc(0.25rem + var(--bs-border-width));\n  padding-bottom: calc(0.25rem + var(--bs-border-width));\n  font-size: 0.875rem;\n}\n\n.form-text {\n  margin-top: 0.25rem;\n  font-size: 0.875em;\n  color: var(--bs-secondary-color);\n}\n\n.form-control {\n  display: block;\n  width: 100%;\n  padding: 0.375rem 0.75rem;\n  font-size: 1rem;\n  font-weight: 400;\n  line-height: 1.5;\n  color: var(--bs-body-color);\n  appearance: none;\n  background-color: var(--bs-body-bg);\n  background-clip: padding-box;\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  border-radius: var(--bs-border-radius);\n  transition: border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-control {\n    transition: none;\n  }\n}\n.form-control[type=file] {\n  overflow: hidden;\n}\n.form-control[type=file]:not(:disabled):not([readonly]) {\n  cursor: pointer;\n}\n.form-control:focus {\n  color: var(--bs-body-color);\n  background-color: var(--bs-body-bg);\n  border-color: #86b7fe;\n  outline: 0;\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.form-control::-webkit-date-and-time-value {\n  min-width: 85px;\n  height: 1.5em;\n  margin: 0;\n}\n.form-control::-webkit-datetime-edit {\n  display: block;\n  padding: 0;\n}\n.form-control::placeholder {\n  color: var(--bs-secondary-color);\n  opacity: 1;\n}\n.form-control:disabled {\n  background-color: var(--bs-secondary-bg);\n  opacity: 1;\n}\n.form-control::file-selector-button {\n  padding: 0.375rem 0.75rem;\n  margin: -0.375rem -0.75rem;\n  margin-inline-end: 0.75rem;\n  color: var(--bs-body-color);\n  background-color: var(--bs-tertiary-bg);\n  pointer-events: none;\n  border-color: inherit;\n  border-style: solid;\n  border-width: 0;\n  border-inline-end-width: var(--bs-border-width);\n  border-radius: 0;\n  transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-control::file-selector-button {\n    transition: none;\n  }\n}\n.form-control:hover:not(:disabled):not([readonly])::file-selector-button {\n  background-color: var(--bs-secondary-bg);\n}\n\n.form-control-plaintext {\n  display: block;\n  width: 100%;\n  padding: 0.375rem 0;\n  margin-bottom: 0;\n  line-height: 1.5;\n  color: var(--bs-body-color);\n  background-color: transparent;\n  border: solid transparent;\n  border-width: var(--bs-border-width) 0;\n}\n.form-control-plaintext:focus {\n  outline: 0;\n}\n.form-control-plaintext.form-control-sm, .form-control-plaintext.form-control-lg {\n  padding-right: 0;\n  padding-left: 0;\n}\n\n.form-control-sm {\n  min-height: calc(1.5em + 0.5rem + calc(var(--bs-border-width) * 2));\n  padding: 0.25rem 0.5rem;\n  font-size: 0.875rem;\n  border-radius: var(--bs-border-radius-sm);\n}\n.form-control-sm::file-selector-button {\n  padding: 0.25rem 0.5rem;\n  margin: -0.25rem -0.5rem;\n  margin-inline-end: 0.5rem;\n}\n\n.form-control-lg {\n  min-height: calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));\n  padding: 0.5rem 1rem;\n  font-size: 1.25rem;\n  border-radius: var(--bs-border-radius-lg);\n}\n.form-control-lg::file-selector-button {\n  padding: 0.5rem 1rem;\n  margin: -0.5rem -1rem;\n  margin-inline-end: 1rem;\n}\n\ntextarea.form-control {\n  min-height: calc(1.5em + 0.75rem + calc(var(--bs-border-width) * 2));\n}\ntextarea.form-control-sm {\n  min-height: calc(1.5em + 0.5rem + calc(var(--bs-border-width) * 2));\n}\ntextarea.form-control-lg {\n  min-height: calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));\n}\n\n.form-control-color {\n  width: 3rem;\n  height: calc(1.5em + 0.75rem + calc(var(--bs-border-width) * 2));\n  padding: 0.375rem;\n}\n.form-control-color:not(:disabled):not([readonly]) {\n  cursor: pointer;\n}\n.form-control-color::-moz-color-swatch {\n  border: 0 !important;\n  border-radius: var(--bs-border-radius);\n}\n.form-control-color::-webkit-color-swatch {\n  border: 0 !important;\n  border-radius: var(--bs-border-radius);\n}\n.form-control-color.form-control-sm {\n  height: calc(1.5em + 0.5rem + calc(var(--bs-border-width) * 2));\n}\n.form-control-color.form-control-lg {\n  height: calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));\n}\n\n.form-select {\n  --bs-form-select-bg-img: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23343a40' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e\");\n  display: block;\n  width: 100%;\n  padding: 0.375rem 2.25rem 0.375rem 0.75rem;\n  font-size: 1rem;\n  font-weight: 400;\n  line-height: 1.5;\n  color: var(--bs-body-color);\n  appearance: none;\n  background-color: var(--bs-body-bg);\n  background-image: var(--bs-form-select-bg-img), var(--bs-form-select-bg-icon, none);\n  background-repeat: no-repeat;\n  background-position: right 0.75rem center;\n  background-size: 16px 12px;\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  border-radius: var(--bs-border-radius);\n  transition: border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-select {\n    transition: none;\n  }\n}\n.form-select:focus {\n  border-color: #86b7fe;\n  outline: 0;\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.form-select[multiple], .form-select[size]:not([size=\"1\"]) {\n  padding-right: 0.75rem;\n  background-image: none;\n}\n.form-select:disabled {\n  background-color: var(--bs-secondary-bg);\n}\n.form-select:-moz-focusring {\n  color: transparent;\n  text-shadow: 0 0 0 var(--bs-body-color);\n}\n\n.form-select-sm {\n  padding-top: 0.25rem;\n  padding-bottom: 0.25rem;\n  padding-left: 0.5rem;\n  font-size: 0.875rem;\n  border-radius: var(--bs-border-radius-sm);\n}\n\n.form-select-lg {\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  padding-left: 1rem;\n  font-size: 1.25rem;\n  border-radius: var(--bs-border-radius-lg);\n}\n\n[data-bs-theme=dark] .form-select {\n  --bs-form-select-bg-img: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23dee2e6' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e\");\n}\n\n.form-check {\n  display: block;\n  min-height: 1.5rem;\n  padding-left: 1.5em;\n  margin-bottom: 0.125rem;\n}\n.form-check .form-check-input {\n  float: left;\n  margin-left: -1.5em;\n}\n\n.form-check-reverse {\n  padding-right: 1.5em;\n  padding-left: 0;\n  text-align: right;\n}\n.form-check-reverse .form-check-input {\n  float: right;\n  margin-right: -1.5em;\n  margin-left: 0;\n}\n\n.form-check-input {\n  --bs-form-check-bg: var(--bs-body-bg);\n  flex-shrink: 0;\n  width: 1em;\n  height: 1em;\n  margin-top: 0.25em;\n  vertical-align: top;\n  appearance: none;\n  background-color: var(--bs-form-check-bg);\n  background-image: var(--bs-form-check-bg-image);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: contain;\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  print-color-adjust: exact;\n}\n.form-check-input[type=checkbox] {\n  border-radius: 0.25em;\n}\n.form-check-input[type=radio] {\n  border-radius: 50%;\n}\n.form-check-input:active {\n  filter: brightness(90%);\n}\n.form-check-input:focus {\n  border-color: #86b7fe;\n  outline: 0;\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.form-check-input:checked {\n  background-color: #0d6efd;\n  border-color: #0d6efd;\n}\n.form-check-input:checked[type=checkbox] {\n  --bs-form-check-bg-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/%3e%3c/svg%3e\");\n}\n.form-check-input:checked[type=radio] {\n  --bs-form-check-bg-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='2' fill='%23fff'/%3e%3c/svg%3e\");\n}\n.form-check-input[type=checkbox]:indeterminate {\n  background-color: #0d6efd;\n  border-color: #0d6efd;\n  --bs-form-check-bg-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/%3e%3c/svg%3e\");\n}\n.form-check-input:disabled {\n  pointer-events: none;\n  filter: none;\n  opacity: 0.5;\n}\n.form-check-input[disabled] ~ .form-check-label, .form-check-input:disabled ~ .form-check-label {\n  cursor: default;\n  opacity: 0.5;\n}\n\n.form-switch {\n  padding-left: 2.5em;\n}\n.form-switch .form-check-input {\n  --bs-form-switch-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%280, 0, 0, 0.25%29'/%3e%3c/svg%3e\");\n  width: 2em;\n  margin-left: -2.5em;\n  background-image: var(--bs-form-switch-bg);\n  background-position: left center;\n  border-radius: 2em;\n  transition: background-position 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-switch .form-check-input {\n    transition: none;\n  }\n}\n.form-switch .form-check-input:focus {\n  --bs-form-switch-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%2386b7fe'/%3e%3c/svg%3e\");\n}\n.form-switch .form-check-input:checked {\n  background-position: right center;\n  --bs-form-switch-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%23fff'/%3e%3c/svg%3e\");\n}\n.form-switch.form-check-reverse {\n  padding-right: 2.5em;\n  padding-left: 0;\n}\n.form-switch.form-check-reverse .form-check-input {\n  margin-right: -2.5em;\n  margin-left: 0;\n}\n\n.form-check-inline {\n  display: inline-block;\n  margin-right: 1rem;\n}\n\n.btn-check {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n}\n.btn-check[disabled] + .btn, .btn-check:disabled + .btn {\n  pointer-events: none;\n  filter: none;\n  opacity: 0.65;\n}\n\n[data-bs-theme=dark] .form-switch .form-check-input:not(:checked):not(:focus) {\n  --bs-form-switch-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%28255, 255, 255, 0.25%29'/%3e%3c/svg%3e\");\n}\n\n.form-range {\n  width: 100%;\n  height: 1.375rem;\n  padding: 0;\n  appearance: none;\n  background-color: transparent;\n}\n.form-range:focus {\n  outline: 0;\n}\n.form-range:focus::-webkit-slider-thumb {\n  box-shadow: 0 0 0 1px #fff, 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.form-range:focus::-moz-range-thumb {\n  box-shadow: 0 0 0 1px #fff, 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.form-range::-moz-focus-outer {\n  border: 0;\n}\n.form-range::-webkit-slider-thumb {\n  width: 1rem;\n  height: 1rem;\n  margin-top: -0.25rem;\n  appearance: none;\n  background-color: #0d6efd;\n  border: 0;\n  border-radius: 1rem;\n  transition: background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-range::-webkit-slider-thumb {\n    transition: none;\n  }\n}\n.form-range::-webkit-slider-thumb:active {\n  background-color: #b6d4fe;\n}\n.form-range::-webkit-slider-runnable-track {\n  width: 100%;\n  height: 0.5rem;\n  color: transparent;\n  cursor: pointer;\n  background-color: var(--bs-secondary-bg);\n  border-color: transparent;\n  border-radius: 1rem;\n}\n.form-range::-moz-range-thumb {\n  width: 1rem;\n  height: 1rem;\n  appearance: none;\n  background-color: #0d6efd;\n  border: 0;\n  border-radius: 1rem;\n  transition: background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-range::-moz-range-thumb {\n    transition: none;\n  }\n}\n.form-range::-moz-range-thumb:active {\n  background-color: #b6d4fe;\n}\n.form-range::-moz-range-track {\n  width: 100%;\n  height: 0.5rem;\n  color: transparent;\n  cursor: pointer;\n  background-color: var(--bs-secondary-bg);\n  border-color: transparent;\n  border-radius: 1rem;\n}\n.form-range:disabled {\n  pointer-events: none;\n}\n.form-range:disabled::-webkit-slider-thumb {\n  background-color: var(--bs-secondary-color);\n}\n.form-range:disabled::-moz-range-thumb {\n  background-color: var(--bs-secondary-color);\n}\n\n.form-floating {\n  position: relative;\n}\n.form-floating > .form-control,\n.form-floating > .form-control-plaintext,\n.form-floating > .form-select {\n  height: calc(3.5rem + calc(var(--bs-border-width) * 2));\n  min-height: calc(3.5rem + calc(var(--bs-border-width) * 2));\n  line-height: 1.25;\n}\n.form-floating > label {\n  position: absolute;\n  top: 0;\n  left: 0;\n  z-index: 2;\n  height: 100%;\n  padding: 1rem 0.75rem;\n  overflow: hidden;\n  text-align: start;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n  pointer-events: none;\n  border: var(--bs-border-width) solid transparent;\n  transform-origin: 0 0;\n  transition: opacity 0.1s ease-in-out, transform 0.1s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-floating > label {\n    transition: none;\n  }\n}\n.form-floating > .form-control,\n.form-floating > .form-control-plaintext {\n  padding: 1rem 0.75rem;\n}\n.form-floating > .form-control::placeholder,\n.form-floating > .form-control-plaintext::placeholder {\n  color: transparent;\n}\n.form-floating > .form-control:focus, .form-floating > .form-control:not(:placeholder-shown),\n.form-floating > .form-control-plaintext:focus,\n.form-floating > .form-control-plaintext:not(:placeholder-shown) {\n  padding-top: 1.625rem;\n  padding-bottom: 0.625rem;\n}\n.form-floating > .form-control:-webkit-autofill,\n.form-floating > .form-control-plaintext:-webkit-autofill {\n  padding-top: 1.625rem;\n  padding-bottom: 0.625rem;\n}\n.form-floating > .form-select {\n  padding-top: 1.625rem;\n  padding-bottom: 0.625rem;\n}\n.form-floating > .form-control:focus ~ label,\n.form-floating > .form-control:not(:placeholder-shown) ~ label,\n.form-floating > .form-control-plaintext ~ label,\n.form-floating > .form-select ~ label {\n  color: rgba(var(--bs-body-color-rgb), 0.65);\n  transform: scale(0.85) translateY(-0.5rem) translateX(0.15rem);\n}\n.form-floating > .form-control:focus ~ label::after,\n.form-floating > .form-control:not(:placeholder-shown) ~ label::after,\n.form-floating > .form-control-plaintext ~ label::after,\n.form-floating > .form-select ~ label::after {\n  position: absolute;\n  inset: 1rem 0.375rem;\n  z-index: -1;\n  height: 1.5em;\n  content: \"\";\n  background-color: var(--bs-body-bg);\n  border-radius: var(--bs-border-radius);\n}\n.form-floating > .form-control:-webkit-autofill ~ label {\n  color: rgba(var(--bs-body-color-rgb), 0.65);\n  transform: scale(0.85) translateY(-0.5rem) translateX(0.15rem);\n}\n.form-floating > .form-control-plaintext ~ label {\n  border-width: var(--bs-border-width) 0;\n}\n.form-floating > :disabled ~ label,\n.form-floating > .form-control:disabled ~ label {\n  color: #6c757d;\n}\n.form-floating > :disabled ~ label::after,\n.form-floating > .form-control:disabled ~ label::after {\n  background-color: var(--bs-secondary-bg);\n}\n\n.input-group {\n  position: relative;\n  display: flex;\n  flex-wrap: wrap;\n  align-items: stretch;\n  width: 100%;\n}\n.input-group > .form-control,\n.input-group > .form-select,\n.input-group > .form-floating {\n  position: relative;\n  flex: 1 1 auto;\n  width: 1%;\n  min-width: 0;\n}\n.input-group > .form-control:focus,\n.input-group > .form-select:focus,\n.input-group > .form-floating:focus-within {\n  z-index: 5;\n}\n.input-group .btn {\n  position: relative;\n  z-index: 2;\n}\n.input-group .btn:focus {\n  z-index: 5;\n}\n\n.input-group-text {\n  display: flex;\n  align-items: center;\n  padding: 0.375rem 0.75rem;\n  font-size: 1rem;\n  font-weight: 400;\n  line-height: 1.5;\n  color: var(--bs-body-color);\n  text-align: center;\n  white-space: nowrap;\n  background-color: var(--bs-tertiary-bg);\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  border-radius: var(--bs-border-radius);\n}\n\n.input-group-lg > .form-control,\n.input-group-lg > .form-select,\n.input-group-lg > .input-group-text,\n.input-group-lg > .btn {\n  padding: 0.5rem 1rem;\n  font-size: 1.25rem;\n  border-radius: var(--bs-border-radius-lg);\n}\n\n.input-group-sm > .form-control,\n.input-group-sm > .form-select,\n.input-group-sm > .input-group-text,\n.input-group-sm > .btn {\n  padding: 0.25rem 0.5rem;\n  font-size: 0.875rem;\n  border-radius: var(--bs-border-radius-sm);\n}\n\n.input-group-lg > .form-select,\n.input-group-sm > .form-select {\n  padding-right: 3rem;\n}\n\n.input-group:not(.has-validation) > :not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n.input-group:not(.has-validation) > .dropdown-toggle:nth-last-child(n+3),\n.input-group:not(.has-validation) > .form-floating:not(:last-child) > .form-control,\n.input-group:not(.has-validation) > .form-floating:not(:last-child) > .form-select {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.input-group.has-validation > :nth-last-child(n+3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n.input-group.has-validation > .dropdown-toggle:nth-last-child(n+4),\n.input-group.has-validation > .form-floating:nth-last-child(n+3) > .form-control,\n.input-group.has-validation > .form-floating:nth-last-child(n+3) > .form-select {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.input-group > :not(:first-child):not(.dropdown-menu):not(.valid-tooltip):not(.valid-feedback):not(.invalid-tooltip):not(.invalid-feedback) {\n  margin-left: calc(var(--bs-border-width) * -1);\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.input-group > .form-floating:not(:first-child) > .form-control,\n.input-group > .form-floating:not(:first-child) > .form-select {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n\n.valid-feedback {\n  display: none;\n  width: 100%;\n  margin-top: 0.25rem;\n  font-size: 0.875em;\n  color: var(--bs-form-valid-color);\n}\n\n.valid-tooltip {\n  position: absolute;\n  top: 100%;\n  z-index: 5;\n  display: none;\n  max-width: 100%;\n  padding: 0.25rem 0.5rem;\n  margin-top: 0.1rem;\n  font-size: 0.875rem;\n  color: #fff;\n  background-color: var(--bs-success);\n  border-radius: var(--bs-border-radius);\n}\n\n.was-validated :valid ~ .valid-feedback,\n.was-validated :valid ~ .valid-tooltip,\n.is-valid ~ .valid-feedback,\n.is-valid ~ .valid-tooltip {\n  display: block;\n}\n\n.was-validated .form-control:valid, .form-control.is-valid {\n  border-color: var(--bs-form-valid-border-color);\n  padding-right: calc(1.5em + 0.75rem);\n  background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e\");\n  background-repeat: no-repeat;\n  background-position: right calc(0.375em + 0.1875rem) center;\n  background-size: calc(0.75em + 0.375rem) calc(0.75em + 0.375rem);\n}\n.was-validated .form-control:valid:focus, .form-control.is-valid:focus {\n  border-color: var(--bs-form-valid-border-color);\n  box-shadow: 0 0 0 0.1875rem rgba(var(--bs-success-rgb), 1);\n}\n\n.was-validated textarea.form-control:valid, textarea.form-control.is-valid {\n  padding-right: calc(1.5em + 0.75rem);\n  background-position: top calc(0.375em + 0.1875rem) right calc(0.375em + 0.1875rem);\n}\n\n.was-validated .form-select:valid, .form-select.is-valid {\n  border-color: var(--bs-form-valid-border-color);\n}\n.was-validated .form-select:valid:not([multiple]):not([size]), .was-validated .form-select:valid:not([multiple])[size=\"1\"], .form-select.is-valid:not([multiple]):not([size]), .form-select.is-valid:not([multiple])[size=\"1\"] {\n  --bs-form-select-bg-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e\");\n  padding-right: 4.125rem;\n  background-position: right 0.75rem center, center right 2.25rem;\n  background-size: 16px 12px, calc(0.75em + 0.375rem) calc(0.75em + 0.375rem);\n}\n.was-validated .form-select:valid:focus, .form-select.is-valid:focus {\n  border-color: var(--bs-form-valid-border-color);\n  box-shadow: 0 0 0 0.1875rem rgba(var(--bs-success-rgb), 1);\n}\n\n.was-validated .form-control-color:valid, .form-control-color.is-valid {\n  width: calc(3rem + calc(1.5em + 0.75rem));\n}\n\n.was-validated .form-check-input:valid, .form-check-input.is-valid {\n  border-color: var(--bs-form-valid-border-color);\n}\n.was-validated .form-check-input:valid:checked, .form-check-input.is-valid:checked {\n  background-color: var(--bs-form-valid-color);\n}\n.was-validated .form-check-input:valid:focus, .form-check-input.is-valid:focus {\n  box-shadow: 0 0 0 0.1875rem rgba(var(--bs-success-rgb), 1);\n}\n.was-validated .form-check-input:valid ~ .form-check-label, .form-check-input.is-valid ~ .form-check-label {\n  color: var(--bs-form-valid-color);\n}\n\n.form-check-inline .form-check-input ~ .valid-feedback {\n  margin-left: 0.5em;\n}\n\n.was-validated .input-group > .form-control:not(:focus):valid, .input-group > .form-control:not(:focus).is-valid,\n.was-validated .input-group > .form-select:not(:focus):valid,\n.input-group > .form-select:not(:focus).is-valid,\n.was-validated .input-group > .form-floating:not(:focus-within):valid,\n.input-group > .form-floating:not(:focus-within).is-valid {\n  z-index: 3;\n}\n\n.invalid-feedback {\n  display: none;\n  width: 100%;\n  margin-top: 0.25rem;\n  font-size: 0.875em;\n  color: var(--bs-form-invalid-color);\n}\n\n.invalid-tooltip {\n  position: absolute;\n  top: 100%;\n  z-index: 5;\n  display: none;\n  max-width: 100%;\n  padding: 0.25rem 0.5rem;\n  margin-top: 0.1rem;\n  font-size: 0.875rem;\n  color: #fff;\n  background-color: var(--bs-danger);\n  border-radius: var(--bs-border-radius);\n}\n\n.was-validated :invalid ~ .invalid-feedback,\n.was-validated :invalid ~ .invalid-tooltip,\n.is-invalid ~ .invalid-feedback,\n.is-invalid ~ .invalid-tooltip {\n  display: block;\n}\n\n.was-validated .form-control:invalid, .form-control.is-invalid {\n  border-color: var(--bs-form-invalid-border-color);\n  padding-right: calc(1.5em + 0.75rem);\n  background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e\");\n  background-repeat: no-repeat;\n  background-position: right calc(0.375em + 0.1875rem) center;\n  background-size: calc(0.75em + 0.375rem) calc(0.75em + 0.375rem);\n}\n.was-validated .form-control:invalid:focus, .form-control.is-invalid:focus {\n  border-color: var(--bs-form-invalid-border-color);\n  box-shadow: 0 0 0 0.1875rem rgba(var(--bs-danger-rgb), 1);\n}\n\n.was-validated textarea.form-control:invalid, textarea.form-control.is-invalid {\n  padding-right: calc(1.5em + 0.75rem);\n  background-position: top calc(0.375em + 0.1875rem) right calc(0.375em + 0.1875rem);\n}\n\n.was-validated .form-select:invalid, .form-select.is-invalid {\n  border-color: var(--bs-form-invalid-border-color);\n}\n.was-validated .form-select:invalid:not([multiple]):not([size]), .was-validated .form-select:invalid:not([multiple])[size=\"1\"], .form-select.is-invalid:not([multiple]):not([size]), .form-select.is-invalid:not([multiple])[size=\"1\"] {\n  --bs-form-select-bg-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e\");\n  padding-right: 4.125rem;\n  background-position: right 0.75rem center, center right 2.25rem;\n  background-size: 16px 12px, calc(0.75em + 0.375rem) calc(0.75em + 0.375rem);\n}\n.was-validated .form-select:invalid:focus, .form-select.is-invalid:focus {\n  border-color: var(--bs-form-invalid-border-color);\n  box-shadow: 0 0 0 0.1875rem rgba(var(--bs-danger-rgb), 1);\n}\n\n.was-validated .form-control-color:invalid, .form-control-color.is-invalid {\n  width: calc(3rem + calc(1.5em + 0.75rem));\n}\n\n.was-validated .form-check-input:invalid, .form-check-input.is-invalid {\n  border-color: var(--bs-form-invalid-border-color);\n}\n.was-validated .form-check-input:invalid:checked, .form-check-input.is-invalid:checked {\n  background-color: var(--bs-form-invalid-color);\n}\n.was-validated .form-check-input:invalid:focus, .form-check-input.is-invalid:focus {\n  box-shadow: 0 0 0 0.1875rem rgba(var(--bs-danger-rgb), 1);\n}\n.was-validated .form-check-input:invalid ~ .form-check-label, .form-check-input.is-invalid ~ .form-check-label {\n  color: var(--bs-form-invalid-color);\n}\n\n.form-check-inline .form-check-input ~ .invalid-feedback {\n  margin-left: 0.5em;\n}\n\n.was-validated .input-group > .form-control:not(:focus):invalid, .input-group > .form-control:not(:focus).is-invalid,\n.was-validated .input-group > .form-select:not(:focus):invalid,\n.input-group > .form-select:not(:focus).is-invalid,\n.was-validated .input-group > .form-floating:not(:focus-within):invalid,\n.input-group > .form-floating:not(:focus-within).is-invalid {\n  z-index: 4;\n}\n\n.btn {\n  --bs-btn-padding-x: 0.75rem;\n  --bs-btn-padding-y: 0.375rem;\n  --bs-btn-font-family: ;\n  --bs-btn-font-size: 1rem;\n  --bs-btn-font-weight: 400;\n  --bs-btn-line-height: 1.5;\n  --bs-btn-color: var(--bs-body-color);\n  --bs-btn-bg: transparent;\n  --bs-btn-border-width: var(--bs-border-width);\n  --bs-btn-border-color: transparent;\n  --bs-btn-border-radius: var(--bs-border-radius);\n  --bs-btn-hover-border-color: transparent;\n  --bs-btn-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n  --bs-btn-disabled-opacity: 0.65;\n  --bs-btn-focus-box-shadow: 0 0 0 0.1875rem rgba(var(--bs-btn-focus-shadow-rgb), .5);\n  display: inline-block;\n  padding: var(--bs-btn-padding-y) var(--bs-btn-padding-x);\n  font-family: var(--bs-btn-font-family);\n  font-size: var(--bs-btn-font-size);\n  font-weight: var(--bs-btn-font-weight);\n  line-height: var(--bs-btn-line-height);\n  color: var(--bs-btn-color);\n  text-align: center;\n  text-decoration: none;\n  vertical-align: middle;\n  cursor: pointer;\n  user-select: none;\n  border: var(--bs-btn-border-width) solid var(--bs-btn-border-color);\n  border-radius: var(--bs-btn-border-radius);\n  background-color: var(--bs-btn-bg);\n  transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .btn {\n    transition: none;\n  }\n}\n.btn:hover {\n  color: var(--bs-btn-hover-color);\n  background-color: var(--bs-btn-hover-bg);\n  border-color: var(--bs-btn-hover-border-color);\n}\n.btn-check + .btn:hover {\n  color: var(--bs-btn-color);\n  background-color: var(--bs-btn-bg);\n  border-color: var(--bs-btn-border-color);\n}\n.btn:focus-visible {\n  color: var(--bs-btn-hover-color);\n  background-color: var(--bs-btn-hover-bg);\n  border-color: var(--bs-btn-hover-border-color);\n  outline: 0;\n  box-shadow: var(--bs-btn-focus-box-shadow);\n}\n.btn-check:focus-visible + .btn {\n  border-color: var(--bs-btn-hover-border-color);\n  outline: 0;\n  box-shadow: var(--bs-btn-focus-box-shadow);\n}\n.btn-check:checked + .btn, :not(.btn-check) + .btn:active, .btn:first-child:active, .btn.active, .btn.show {\n  color: var(--bs-btn-active-color);\n  background-color: var(--bs-btn-active-bg);\n  border-color: var(--bs-btn-active-border-color);\n}\n.btn-check:checked + .btn:focus-visible, :not(.btn-check) + .btn:active:focus-visible, .btn:first-child:active:focus-visible, .btn.active:focus-visible, .btn.show:focus-visible {\n  box-shadow: var(--bs-btn-focus-box-shadow);\n}\n.btn-check:checked:focus-visible + .btn {\n  box-shadow: var(--bs-btn-focus-box-shadow);\n}\n.btn:disabled, .btn.disabled, fieldset:disabled .btn {\n  color: var(--bs-btn-disabled-color);\n  pointer-events: none;\n  background-color: var(--bs-btn-disabled-bg);\n  border-color: var(--bs-btn-disabled-border-color);\n  opacity: var(--bs-btn-disabled-opacity);\n}\n\n.btn-primary {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #0d6efd;\n  --bs-btn-border-color: #0d6efd;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #0b5ed7;\n  --bs-btn-hover-border-color: #0a58ca;\n  --bs-btn-focus-shadow-rgb: 49, 132, 253;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #0a58ca;\n  --bs-btn-active-border-color: #0a53be;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #0d6efd;\n  --bs-btn-disabled-border-color: #0d6efd;\n}\n\n.btn-secondary {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #6c757d;\n  --bs-btn-border-color: #6c757d;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #5c636a;\n  --bs-btn-hover-border-color: #565e64;\n  --bs-btn-focus-shadow-rgb: 130, 138, 145;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #565e64;\n  --bs-btn-active-border-color: #51585e;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #6c757d;\n  --bs-btn-disabled-border-color: #6c757d;\n}\n\n.btn-success {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #198754;\n  --bs-btn-border-color: #198754;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #157347;\n  --bs-btn-hover-border-color: #146c43;\n  --bs-btn-focus-shadow-rgb: 60, 153, 110;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #146c43;\n  --bs-btn-active-border-color: #13653f;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #198754;\n  --bs-btn-disabled-border-color: #198754;\n}\n\n.btn-info {\n  --bs-btn-color: #000;\n  --bs-btn-bg: #0dcaf0;\n  --bs-btn-border-color: #0dcaf0;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #31d2f2;\n  --bs-btn-hover-border-color: #25cff2;\n  --bs-btn-focus-shadow-rgb: 11, 172, 204;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #3dd5f3;\n  --bs-btn-active-border-color: #25cff2;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #000;\n  --bs-btn-disabled-bg: #0dcaf0;\n  --bs-btn-disabled-border-color: #0dcaf0;\n}\n\n.btn-warning {\n  --bs-btn-color: #000;\n  --bs-btn-bg: #ffc107;\n  --bs-btn-border-color: #ffc107;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #ffca2c;\n  --bs-btn-hover-border-color: #ffc720;\n  --bs-btn-focus-shadow-rgb: 217, 164, 6;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #ffcd39;\n  --bs-btn-active-border-color: #ffc720;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #000;\n  --bs-btn-disabled-bg: #ffc107;\n  --bs-btn-disabled-border-color: #ffc107;\n}\n\n.btn-danger {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #dc3545;\n  --bs-btn-border-color: #dc3545;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #bb2d3b;\n  --bs-btn-hover-border-color: #b02a37;\n  --bs-btn-focus-shadow-rgb: 225, 83, 97;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #b02a37;\n  --bs-btn-active-border-color: #a52834;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #dc3545;\n  --bs-btn-disabled-border-color: #dc3545;\n}\n\n.btn-light {\n  --bs-btn-color: #000;\n  --bs-btn-bg: #f8f9fa;\n  --bs-btn-border-color: #f8f9fa;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #d3d4d5;\n  --bs-btn-hover-border-color: #c6c7c8;\n  --bs-btn-focus-shadow-rgb: 211, 212, 213;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #c6c7c8;\n  --bs-btn-active-border-color: #babbbc;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #000;\n  --bs-btn-disabled-bg: #f8f9fa;\n  --bs-btn-disabled-border-color: #f8f9fa;\n}\n\n.btn-dark {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #212529;\n  --bs-btn-border-color: #212529;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #424649;\n  --bs-btn-hover-border-color: #373b3e;\n  --bs-btn-focus-shadow-rgb: 66, 70, 73;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #4d5154;\n  --bs-btn-active-border-color: #373b3e;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #212529;\n  --bs-btn-disabled-border-color: #212529;\n}\n\n.btn-outline-primary {\n  --bs-btn-color: #0d6efd;\n  --bs-btn-border-color: #0d6efd;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #0d6efd;\n  --bs-btn-hover-border-color: #0d6efd;\n  --bs-btn-focus-shadow-rgb: 13, 110, 253;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #0d6efd;\n  --bs-btn-active-border-color: #0d6efd;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #0d6efd;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #0d6efd;\n  --bs-gradient: none;\n}\n\n.btn-outline-secondary {\n  --bs-btn-color: #6c757d;\n  --bs-btn-border-color: #6c757d;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #6c757d;\n  --bs-btn-hover-border-color: #6c757d;\n  --bs-btn-focus-shadow-rgb: 108, 117, 125;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #6c757d;\n  --bs-btn-active-border-color: #6c757d;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #6c757d;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #6c757d;\n  --bs-gradient: none;\n}\n\n.btn-outline-success {\n  --bs-btn-color: #198754;\n  --bs-btn-border-color: #198754;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #198754;\n  --bs-btn-hover-border-color: #198754;\n  --bs-btn-focus-shadow-rgb: 25, 135, 84;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #198754;\n  --bs-btn-active-border-color: #198754;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #198754;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #198754;\n  --bs-gradient: none;\n}\n\n.btn-outline-info {\n  --bs-btn-color: #0dcaf0;\n  --bs-btn-border-color: #0dcaf0;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #0dcaf0;\n  --bs-btn-hover-border-color: #0dcaf0;\n  --bs-btn-focus-shadow-rgb: 13, 202, 240;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #0dcaf0;\n  --bs-btn-active-border-color: #0dcaf0;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #0dcaf0;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #0dcaf0;\n  --bs-gradient: none;\n}\n\n.btn-outline-warning {\n  --bs-btn-color: #ffc107;\n  --bs-btn-border-color: #ffc107;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #ffc107;\n  --bs-btn-hover-border-color: #ffc107;\n  --bs-btn-focus-shadow-rgb: 255, 193, 7;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #ffc107;\n  --bs-btn-active-border-color: #ffc107;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #ffc107;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #ffc107;\n  --bs-gradient: none;\n}\n\n.btn-outline-danger {\n  --bs-btn-color: #dc3545;\n  --bs-btn-border-color: #dc3545;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #dc3545;\n  --bs-btn-hover-border-color: #dc3545;\n  --bs-btn-focus-shadow-rgb: 220, 53, 69;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #dc3545;\n  --bs-btn-active-border-color: #dc3545;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #dc3545;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #dc3545;\n  --bs-gradient: none;\n}\n\n.btn-outline-light {\n  --bs-btn-color: #f8f9fa;\n  --bs-btn-border-color: #f8f9fa;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #f8f9fa;\n  --bs-btn-hover-border-color: #f8f9fa;\n  --bs-btn-focus-shadow-rgb: 248, 249, 250;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #f8f9fa;\n  --bs-btn-active-border-color: #f8f9fa;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #f8f9fa;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #f8f9fa;\n  --bs-gradient: none;\n}\n\n.btn-outline-dark {\n  --bs-btn-color: #212529;\n  --bs-btn-border-color: #212529;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #212529;\n  --bs-btn-hover-border-color: #212529;\n  --bs-btn-focus-shadow-rgb: 33, 37, 41;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #212529;\n  --bs-btn-active-border-color: #212529;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #212529;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #212529;\n  --bs-gradient: none;\n}\n\n.btn-link {\n  --bs-btn-font-weight: 400;\n  --bs-btn-color: var(--bs-link-color);\n  --bs-btn-bg: transparent;\n  --bs-btn-border-color: transparent;\n  --bs-btn-hover-color: var(--bs-link-hover-color);\n  --bs-btn-hover-border-color: transparent;\n  --bs-btn-active-color: var(--bs-link-hover-color);\n  --bs-btn-active-border-color: transparent;\n  --bs-btn-disabled-color: #6c757d;\n  --bs-btn-disabled-border-color: transparent;\n  --bs-btn-box-shadow: 0 0 0 #000;\n  --bs-btn-focus-shadow-rgb: 49, 132, 253;\n  text-decoration: underline;\n}\n.btn-link:focus-visible {\n  color: var(--bs-btn-color);\n}\n.btn-link:hover {\n  color: var(--bs-btn-hover-color);\n}\n\n.btn-lg, .btn-group-lg > .btn {\n  --bs-btn-padding-y: 0.5rem;\n  --bs-btn-padding-x: 1rem;\n  --bs-btn-font-size: 1.25rem;\n  --bs-btn-border-radius: var(--bs-border-radius-lg);\n}\n\n.btn-sm, .btn-group-sm > .btn {\n  --bs-btn-padding-y: 0.25rem;\n  --bs-btn-padding-x: 0.5rem;\n  --bs-btn-font-size: 0.875rem;\n  --bs-btn-border-radius: var(--bs-border-radius-sm);\n}\n\n.fade {\n  transition: opacity 0.15s linear;\n}\n@media (prefers-reduced-motion: reduce) {\n  .fade {\n    transition: none;\n  }\n}\n.fade:not(.show) {\n  opacity: 0;\n}\n\n.collapse:not(.show) {\n  display: none;\n}\n\n.collapsing {\n  height: 0;\n  overflow: hidden;\n  transition: height 0.35s ease;\n}\n@media (prefers-reduced-motion: reduce) {\n  .collapsing {\n    transition: none;\n  }\n}\n.collapsing.collapse-horizontal {\n  width: 0;\n  height: auto;\n  transition: width 0.35s ease;\n}\n@media (prefers-reduced-motion: reduce) {\n  .collapsing.collapse-horizontal {\n    transition: none;\n  }\n}\n\n.dropup,\n.dropend,\n.dropdown,\n.dropstart,\n.dropup-center,\n.dropdown-center {\n  position: relative;\n}\n\n.dropdown-toggle {\n  white-space: nowrap;\n}\n.dropdown-toggle::after {\n  display: inline-block;\n  margin-left: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n  border-top: 0.3em solid;\n  border-right: 0.3em solid transparent;\n  border-bottom: 0;\n  border-left: 0.3em solid transparent;\n}\n.dropdown-toggle:empty::after {\n  margin-left: 0;\n}\n\n.dropdown-menu {\n  --bs-dropdown-zindex: 1000;\n  --bs-dropdown-min-width: 10rem;\n  --bs-dropdown-padding-x: 0;\n  --bs-dropdown-padding-y: 0.5rem;\n  --bs-dropdown-spacer: 0.125rem;\n  --bs-dropdown-font-size: 1rem;\n  --bs-dropdown-color: var(--bs-body-color);\n  --bs-dropdown-bg: var(--bs-body-bg);\n  --bs-dropdown-border-color: var(--bs-border-color-translucent);\n  --bs-dropdown-border-radius: var(--bs-border-radius);\n  --bs-dropdown-border-width: var(--bs-border-width);\n  --bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));\n  --bs-dropdown-divider-bg: var(--bs-border-color-translucent);\n  --bs-dropdown-divider-margin-y: 0.5rem;\n  --bs-dropdown-box-shadow: var(--bs-box-shadow);\n  --bs-dropdown-link-color: var(--bs-body-color);\n  --bs-dropdown-link-hover-color: var(--bs-body-color);\n  --bs-dropdown-link-hover-bg: var(--pst-color-surface);\n  --bs-dropdown-link-active-color: #fff;\n  --bs-dropdown-link-active-bg: var(--pst-color-surface);\n  --bs-dropdown-link-disabled-color: var(--bs-tertiary-color);\n  --bs-dropdown-item-padding-x: 1rem;\n  --bs-dropdown-item-padding-y: 0.25rem;\n  --bs-dropdown-header-color: #6c757d;\n  --bs-dropdown-header-padding-x: 1rem;\n  --bs-dropdown-header-padding-y: 0.5rem;\n  position: absolute;\n  z-index: var(--bs-dropdown-zindex);\n  display: none;\n  min-width: var(--bs-dropdown-min-width);\n  padding: var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);\n  margin: 0;\n  font-size: var(--bs-dropdown-font-size);\n  color: var(--bs-dropdown-color);\n  text-align: left;\n  list-style: none;\n  background-color: var(--bs-dropdown-bg);\n  background-clip: padding-box;\n  border: var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);\n  border-radius: var(--bs-dropdown-border-radius);\n}\n.dropdown-menu[data-bs-popper] {\n  top: 100%;\n  left: 0;\n  margin-top: var(--bs-dropdown-spacer);\n}\n\n.dropdown-menu-start {\n  --bs-position: start;\n}\n.dropdown-menu-start[data-bs-popper] {\n  right: auto;\n  left: 0;\n}\n\n.dropdown-menu-end {\n  --bs-position: end;\n}\n.dropdown-menu-end[data-bs-popper] {\n  right: 0;\n  left: auto;\n}\n\n@media (min-width: 540px) {\n  .dropdown-menu-sm-start {\n    --bs-position: start;\n  }\n  .dropdown-menu-sm-start[data-bs-popper] {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-sm-end {\n    --bs-position: end;\n  }\n  .dropdown-menu-sm-end[data-bs-popper] {\n    right: 0;\n    left: auto;\n  }\n}\n@media (min-width: 720px) {\n  .dropdown-menu-md-start {\n    --bs-position: start;\n  }\n  .dropdown-menu-md-start[data-bs-popper] {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-md-end {\n    --bs-position: end;\n  }\n  .dropdown-menu-md-end[data-bs-popper] {\n    right: 0;\n    left: auto;\n  }\n}\n@media (min-width: 960px) {\n  .dropdown-menu-lg-start {\n    --bs-position: start;\n  }\n  .dropdown-menu-lg-start[data-bs-popper] {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-lg-end {\n    --bs-position: end;\n  }\n  .dropdown-menu-lg-end[data-bs-popper] {\n    right: 0;\n    left: auto;\n  }\n}\n@media (min-width: 1200px) {\n  .dropdown-menu-xl-start {\n    --bs-position: start;\n  }\n  .dropdown-menu-xl-start[data-bs-popper] {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-xl-end {\n    --bs-position: end;\n  }\n  .dropdown-menu-xl-end[data-bs-popper] {\n    right: 0;\n    left: auto;\n  }\n}\n.dropup .dropdown-menu[data-bs-popper] {\n  top: auto;\n  bottom: 100%;\n  margin-top: 0;\n  margin-bottom: var(--bs-dropdown-spacer);\n}\n.dropup .dropdown-toggle::after {\n  display: inline-block;\n  margin-left: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n  border-top: 0;\n  border-right: 0.3em solid transparent;\n  border-bottom: 0.3em solid;\n  border-left: 0.3em solid transparent;\n}\n.dropup .dropdown-toggle:empty::after {\n  margin-left: 0;\n}\n\n.dropend .dropdown-menu[data-bs-popper] {\n  top: 0;\n  right: auto;\n  left: 100%;\n  margin-top: 0;\n  margin-left: var(--bs-dropdown-spacer);\n}\n.dropend .dropdown-toggle::after {\n  display: inline-block;\n  margin-left: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n  border-top: 0.3em solid transparent;\n  border-right: 0;\n  border-bottom: 0.3em solid transparent;\n  border-left: 0.3em solid;\n}\n.dropend .dropdown-toggle:empty::after {\n  margin-left: 0;\n}\n.dropend .dropdown-toggle::after {\n  vertical-align: 0;\n}\n\n.dropstart .dropdown-menu[data-bs-popper] {\n  top: 0;\n  right: 100%;\n  left: auto;\n  margin-top: 0;\n  margin-right: var(--bs-dropdown-spacer);\n}\n.dropstart .dropdown-toggle::after {\n  display: inline-block;\n  margin-left: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n}\n.dropstart .dropdown-toggle::after {\n  display: none;\n}\n.dropstart .dropdown-toggle::before {\n  display: inline-block;\n  margin-right: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n  border-top: 0.3em solid transparent;\n  border-right: 0.3em solid;\n  border-bottom: 0.3em solid transparent;\n}\n.dropstart .dropdown-toggle:empty::after {\n  margin-left: 0;\n}\n.dropstart .dropdown-toggle::before {\n  vertical-align: 0;\n}\n\n.dropdown-divider {\n  height: 0;\n  margin: var(--bs-dropdown-divider-margin-y) 0;\n  overflow: hidden;\n  border-top: 1px solid var(--bs-dropdown-divider-bg);\n  opacity: 1;\n}\n\n.dropdown-item {\n  display: block;\n  width: 100%;\n  padding: var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);\n  clear: both;\n  font-weight: 400;\n  color: var(--bs-dropdown-link-color);\n  text-align: inherit;\n  text-decoration: none;\n  white-space: nowrap;\n  background-color: transparent;\n  border: 0;\n  border-radius: var(--bs-dropdown-item-border-radius, 0);\n}\n.dropdown-item:hover, .dropdown-item:focus {\n  color: var(--bs-dropdown-link-hover-color);\n  background-color: var(--bs-dropdown-link-hover-bg);\n}\n.dropdown-item.active, .dropdown-item:active {\n  color: var(--bs-dropdown-link-active-color);\n  text-decoration: none;\n  background-color: var(--bs-dropdown-link-active-bg);\n}\n.dropdown-item.disabled, .dropdown-item:disabled {\n  color: var(--bs-dropdown-link-disabled-color);\n  pointer-events: none;\n  background-color: transparent;\n}\n\n.dropdown-menu.show {\n  display: block;\n}\n\n.dropdown-header {\n  display: block;\n  padding: var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);\n  margin-bottom: 0;\n  font-size: 0.875rem;\n  color: var(--bs-dropdown-header-color);\n  white-space: nowrap;\n}\n\n.dropdown-item-text {\n  display: block;\n  padding: var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);\n  color: var(--bs-dropdown-link-color);\n}\n\n.dropdown-menu-dark {\n  --bs-dropdown-color: #dee2e6;\n  --bs-dropdown-bg: #343a40;\n  --bs-dropdown-border-color: var(--bs-border-color-translucent);\n  --bs-dropdown-box-shadow: ;\n  --bs-dropdown-link-color: #dee2e6;\n  --bs-dropdown-link-hover-color: #fff;\n  --bs-dropdown-divider-bg: var(--bs-border-color-translucent);\n  --bs-dropdown-link-hover-bg: var(--pst-color-surface);\n  --bs-dropdown-link-active-color: #fff;\n  --bs-dropdown-link-active-bg: var(--pst-color-surface);\n  --bs-dropdown-link-disabled-color: #adb5bd;\n  --bs-dropdown-header-color: #adb5bd;\n}\n\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-flex;\n  vertical-align: middle;\n}\n.btn-group > .btn,\n.btn-group-vertical > .btn {\n  position: relative;\n  flex: 1 1 auto;\n}\n.btn-group > .btn-check:checked + .btn,\n.btn-group > .btn-check:focus + .btn,\n.btn-group > .btn:hover,\n.btn-group > .btn:focus,\n.btn-group > .btn:active,\n.btn-group > .btn.active,\n.btn-group-vertical > .btn-check:checked + .btn,\n.btn-group-vertical > .btn-check:focus + .btn,\n.btn-group-vertical > .btn:hover,\n.btn-group-vertical > .btn:focus,\n.btn-group-vertical > .btn:active,\n.btn-group-vertical > .btn.active {\n  z-index: 1;\n}\n\n.btn-toolbar {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: flex-start;\n}\n.btn-toolbar .input-group {\n  width: auto;\n}\n\n.btn-group {\n  border-radius: var(--bs-border-radius);\n}\n.btn-group > :not(.btn-check:first-child) + .btn,\n.btn-group > .btn-group:not(:first-child) {\n  margin-left: calc(var(--bs-border-width) * -1);\n}\n.btn-group > .btn:not(:last-child):not(.dropdown-toggle),\n.btn-group > .btn.dropdown-toggle-split:first-child,\n.btn-group > .btn-group:not(:last-child) > .btn {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.btn-group > .btn:nth-child(n+3),\n.btn-group > :not(.btn-check) + .btn,\n.btn-group > .btn-group:not(:first-child) > .btn {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n\n.dropdown-toggle-split {\n  padding-right: 0.5625rem;\n  padding-left: 0.5625rem;\n}\n.dropdown-toggle-split::after, .dropup .dropdown-toggle-split::after, .dropend .dropdown-toggle-split::after {\n  margin-left: 0;\n}\n.dropstart .dropdown-toggle-split::before {\n  margin-right: 0;\n}\n\n.btn-sm + .dropdown-toggle-split, .btn-group-sm > .btn + .dropdown-toggle-split {\n  padding-right: 0.375rem;\n  padding-left: 0.375rem;\n}\n\n.btn-lg + .dropdown-toggle-split, .btn-group-lg > .btn + .dropdown-toggle-split {\n  padding-right: 0.75rem;\n  padding-left: 0.75rem;\n}\n\n.btn-group-vertical {\n  flex-direction: column;\n  align-items: flex-start;\n  justify-content: center;\n}\n.btn-group-vertical > .btn,\n.btn-group-vertical > .btn-group {\n  width: 100%;\n}\n.btn-group-vertical > .btn:not(:first-child),\n.btn-group-vertical > .btn-group:not(:first-child) {\n  margin-top: calc(var(--bs-border-width) * -1);\n}\n.btn-group-vertical > .btn:not(:last-child):not(.dropdown-toggle),\n.btn-group-vertical > .btn-group:not(:last-child) > .btn {\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn ~ .btn,\n.btn-group-vertical > .btn-group:not(:first-child) > .btn {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n\n.nav {\n  --bs-nav-link-padding-x: 1rem;\n  --bs-nav-link-padding-y: 0.5rem;\n  --bs-nav-link-font-weight: ;\n  --bs-nav-link-color: var(--bs-link-color);\n  --bs-nav-link-hover-color: var(--bs-link-hover-color);\n  --bs-nav-link-disabled-color: var(--bs-secondary-color);\n  display: flex;\n  flex-wrap: wrap;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n\n.nav-link {\n  display: block;\n  padding: var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);\n  font-size: var(--bs-nav-link-font-size);\n  font-weight: var(--bs-nav-link-font-weight);\n  color: var(--bs-nav-link-color);\n  text-decoration: none;\n  background: none;\n  border: 0;\n  transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .nav-link {\n    transition: none;\n  }\n}\n.nav-link:hover, .nav-link:focus {\n  color: var(--bs-nav-link-hover-color);\n}\n.nav-link:focus-visible {\n  outline: 0;\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.nav-link.disabled, .nav-link:disabled {\n  color: var(--bs-nav-link-disabled-color);\n  pointer-events: none;\n  cursor: default;\n}\n\n.nav-tabs {\n  --bs-nav-tabs-border-width: var(--bs-border-width);\n  --bs-nav-tabs-border-color: var(--bs-border-color);\n  --bs-nav-tabs-border-radius: var(--bs-border-radius);\n  --bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);\n  --bs-nav-tabs-link-active-color: var(--bs-emphasis-color);\n  --bs-nav-tabs-link-active-bg: var(--bs-body-bg);\n  --bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);\n  border-bottom: var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color);\n}\n.nav-tabs .nav-link {\n  margin-bottom: calc(-1 * var(--bs-nav-tabs-border-width));\n  border: var(--bs-nav-tabs-border-width) solid transparent;\n  border-top-left-radius: var(--bs-nav-tabs-border-radius);\n  border-top-right-radius: var(--bs-nav-tabs-border-radius);\n}\n.nav-tabs .nav-link:hover, .nav-tabs .nav-link:focus {\n  isolation: isolate;\n  border-color: var(--bs-nav-tabs-link-hover-border-color);\n}\n.nav-tabs .nav-link.active,\n.nav-tabs .nav-item.show .nav-link {\n  color: var(--bs-nav-tabs-link-active-color);\n  background-color: var(--bs-nav-tabs-link-active-bg);\n  border-color: var(--bs-nav-tabs-link-active-border-color);\n}\n.nav-tabs .dropdown-menu {\n  margin-top: calc(-1 * var(--bs-nav-tabs-border-width));\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n\n.nav-pills {\n  --bs-nav-pills-border-radius: var(--bs-border-radius);\n  --bs-nav-pills-link-active-color: #fff;\n  --bs-nav-pills-link-active-bg: #0d6efd;\n}\n.nav-pills .nav-link {\n  border-radius: var(--bs-nav-pills-border-radius);\n}\n.nav-pills .nav-link.active,\n.nav-pills .show > .nav-link {\n  color: var(--bs-nav-pills-link-active-color);\n  background-color: var(--bs-nav-pills-link-active-bg);\n}\n\n.nav-underline {\n  --bs-nav-underline-gap: 1rem;\n  --bs-nav-underline-border-width: 0.125rem;\n  --bs-nav-underline-link-active-color: var(--bs-emphasis-color);\n  gap: var(--bs-nav-underline-gap);\n}\n.nav-underline .nav-link {\n  padding-right: 0;\n  padding-left: 0;\n  border-bottom: var(--bs-nav-underline-border-width) solid transparent;\n}\n.nav-underline .nav-link:hover, .nav-underline .nav-link:focus {\n  border-bottom-color: currentcolor;\n}\n.nav-underline .nav-link.active,\n.nav-underline .show > .nav-link {\n  font-weight: 700;\n  color: var(--bs-nav-underline-link-active-color);\n  border-bottom-color: currentcolor;\n}\n\n.nav-fill > .nav-link,\n.nav-fill .nav-item {\n  flex: 1 1 auto;\n  text-align: center;\n}\n\n.nav-justified > .nav-link,\n.nav-justified .nav-item {\n  flex-basis: 0;\n  flex-grow: 1;\n  text-align: center;\n}\n\n.nav-fill .nav-item .nav-link,\n.nav-justified .nav-item .nav-link {\n  width: 100%;\n}\n\n.tab-content > .tab-pane {\n  display: none;\n}\n.tab-content > .active {\n  display: block;\n}\n\n.navbar {\n  --bs-navbar-padding-x: 0;\n  --bs-navbar-padding-y: 0.5rem;\n  --bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);\n  --bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);\n  --bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);\n  --bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);\n  --bs-navbar-brand-padding-y: 0.3125rem;\n  --bs-navbar-brand-margin-end: 1rem;\n  --bs-navbar-brand-font-size: 1.25rem;\n  --bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);\n  --bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);\n  --bs-navbar-nav-link-padding-x: 0.5rem;\n  --bs-navbar-toggler-padding-y: 0.25rem;\n  --bs-navbar-toggler-padding-x: 0.75rem;\n  --bs-navbar-toggler-font-size: 1.25rem;\n  --bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833, 37, 41, 0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");\n  --bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);\n  --bs-navbar-toggler-border-radius: var(--bs-border-radius);\n  --bs-navbar-toggler-focus-width: 0.1875rem;\n  --bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;\n  position: relative;\n  display: flex;\n  flex-wrap: wrap;\n  align-items: center;\n  justify-content: space-between;\n  padding: var(--bs-navbar-padding-y) var(--bs-navbar-padding-x);\n}\n.navbar > .container,\n.navbar > .container-fluid,\n.navbar > .container-sm,\n.navbar > .container-md,\n.navbar > .container-lg,\n.navbar > .container-xl {\n  display: flex;\n  flex-wrap: inherit;\n  align-items: center;\n  justify-content: space-between;\n}\n.navbar-brand {\n  padding-top: var(--bs-navbar-brand-padding-y);\n  padding-bottom: var(--bs-navbar-brand-padding-y);\n  margin-right: var(--bs-navbar-brand-margin-end);\n  font-size: var(--bs-navbar-brand-font-size);\n  color: var(--bs-navbar-brand-color);\n  text-decoration: none;\n  white-space: nowrap;\n}\n.navbar-brand:hover, .navbar-brand:focus {\n  color: var(--bs-navbar-brand-hover-color);\n}\n\n.navbar-nav {\n  --bs-nav-link-padding-x: 0;\n  --bs-nav-link-padding-y: 0.5rem;\n  --bs-nav-link-font-weight: ;\n  --bs-nav-link-color: var(--bs-navbar-color);\n  --bs-nav-link-hover-color: var(--bs-navbar-hover-color);\n  --bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);\n  display: flex;\n  flex-direction: column;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n.navbar-nav .nav-link.active, .navbar-nav .nav-link.show {\n  color: var(--bs-navbar-active-color);\n}\n.navbar-nav .dropdown-menu {\n  position: static;\n}\n\n.navbar-text {\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  color: var(--bs-navbar-color);\n}\n.navbar-text a,\n.navbar-text a:hover,\n.navbar-text a:focus {\n  color: var(--bs-navbar-active-color);\n}\n\n.navbar-collapse {\n  flex-basis: 100%;\n  flex-grow: 1;\n  align-items: center;\n}\n\n.navbar-toggler {\n  padding: var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);\n  font-size: var(--bs-navbar-toggler-font-size);\n  line-height: 1;\n  color: var(--bs-navbar-color);\n  background-color: transparent;\n  border: var(--bs-border-width) solid var(--bs-navbar-toggler-border-color);\n  border-radius: var(--bs-navbar-toggler-border-radius);\n  transition: var(--bs-navbar-toggler-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .navbar-toggler {\n    transition: none;\n  }\n}\n.navbar-toggler:hover {\n  text-decoration: none;\n}\n.navbar-toggler:focus {\n  text-decoration: none;\n  outline: 0;\n  box-shadow: 0 0 0 var(--bs-navbar-toggler-focus-width);\n}\n\n.navbar-toggler-icon {\n  display: inline-block;\n  width: 1.5em;\n  height: 1.5em;\n  vertical-align: middle;\n  background-image: var(--bs-navbar-toggler-icon-bg);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: 100%;\n}\n\n.navbar-nav-scroll {\n  max-height: var(--bs-scroll-height, 75vh);\n  overflow-y: auto;\n}\n\n@media (min-width: 540px) {\n  .navbar-expand-sm {\n    flex-wrap: nowrap;\n    justify-content: flex-start;\n  }\n  .navbar-expand-sm .navbar-nav {\n    flex-direction: row;\n  }\n  .navbar-expand-sm .navbar-nav .dropdown-menu {\n    position: absolute;\n  }\n  .navbar-expand-sm .navbar-nav .nav-link {\n    padding-right: var(--bs-navbar-nav-link-padding-x);\n    padding-left: var(--bs-navbar-nav-link-padding-x);\n  }\n  .navbar-expand-sm .navbar-nav-scroll {\n    overflow: visible;\n  }\n  .navbar-expand-sm .navbar-collapse {\n    display: flex !important;\n    flex-basis: auto;\n  }\n  .navbar-expand-sm .navbar-toggler {\n    display: none;\n  }\n  .navbar-expand-sm .offcanvas {\n    position: static;\n    z-index: auto;\n    flex-grow: 1;\n    width: auto !important;\n    height: auto !important;\n    visibility: visible !important;\n    background-color: transparent !important;\n    border: 0 !important;\n    transform: none !important;\n    transition: none;\n  }\n  .navbar-expand-sm .offcanvas .offcanvas-header {\n    display: none;\n  }\n  .navbar-expand-sm .offcanvas .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n  }\n}\n@media (min-width: 720px) {\n  .navbar-expand-md {\n    flex-wrap: nowrap;\n    justify-content: flex-start;\n  }\n  .navbar-expand-md .navbar-nav {\n    flex-direction: row;\n  }\n  .navbar-expand-md .navbar-nav .dropdown-menu {\n    position: absolute;\n  }\n  .navbar-expand-md .navbar-nav .nav-link {\n    padding-right: var(--bs-navbar-nav-link-padding-x);\n    padding-left: var(--bs-navbar-nav-link-padding-x);\n  }\n  .navbar-expand-md .navbar-nav-scroll {\n    overflow: visible;\n  }\n  .navbar-expand-md .navbar-collapse {\n    display: flex !important;\n    flex-basis: auto;\n  }\n  .navbar-expand-md .navbar-toggler {\n    display: none;\n  }\n  .navbar-expand-md .offcanvas {\n    position: static;\n    z-index: auto;\n    flex-grow: 1;\n    width: auto !important;\n    height: auto !important;\n    visibility: visible !important;\n    background-color: transparent !important;\n    border: 0 !important;\n    transform: none !important;\n    transition: none;\n  }\n  .navbar-expand-md .offcanvas .offcanvas-header {\n    display: none;\n  }\n  .navbar-expand-md .offcanvas .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n  }\n}\n@media (min-width: 960px) {\n  .navbar-expand-lg {\n    flex-wrap: nowrap;\n    justify-content: flex-start;\n  }\n  .navbar-expand-lg .navbar-nav {\n    flex-direction: row;\n  }\n  .navbar-expand-lg .navbar-nav .dropdown-menu {\n    position: absolute;\n  }\n  .navbar-expand-lg .navbar-nav .nav-link {\n    padding-right: var(--bs-navbar-nav-link-padding-x);\n    padding-left: var(--bs-navbar-nav-link-padding-x);\n  }\n  .navbar-expand-lg .navbar-nav-scroll {\n    overflow: visible;\n  }\n  .navbar-expand-lg .navbar-collapse {\n    display: flex !important;\n    flex-basis: auto;\n  }\n  .navbar-expand-lg .navbar-toggler {\n    display: none;\n  }\n  .navbar-expand-lg .offcanvas {\n    position: static;\n    z-index: auto;\n    flex-grow: 1;\n    width: auto !important;\n    height: auto !important;\n    visibility: visible !important;\n    background-color: transparent !important;\n    border: 0 !important;\n    transform: none !important;\n    transition: none;\n  }\n  .navbar-expand-lg .offcanvas .offcanvas-header {\n    display: none;\n  }\n  .navbar-expand-lg .offcanvas .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n  }\n}\n@media (min-width: 1200px) {\n  .navbar-expand-xl {\n    flex-wrap: nowrap;\n    justify-content: flex-start;\n  }\n  .navbar-expand-xl .navbar-nav {\n    flex-direction: row;\n  }\n  .navbar-expand-xl .navbar-nav .dropdown-menu {\n    position: absolute;\n  }\n  .navbar-expand-xl .navbar-nav .nav-link {\n    padding-right: var(--bs-navbar-nav-link-padding-x);\n    padding-left: var(--bs-navbar-nav-link-padding-x);\n  }\n  .navbar-expand-xl .navbar-nav-scroll {\n    overflow: visible;\n  }\n  .navbar-expand-xl .navbar-collapse {\n    display: flex !important;\n    flex-basis: auto;\n  }\n  .navbar-expand-xl .navbar-toggler {\n    display: none;\n  }\n  .navbar-expand-xl .offcanvas {\n    position: static;\n    z-index: auto;\n    flex-grow: 1;\n    width: auto !important;\n    height: auto !important;\n    visibility: visible !important;\n    background-color: transparent !important;\n    border: 0 !important;\n    transform: none !important;\n    transition: none;\n  }\n  .navbar-expand-xl .offcanvas .offcanvas-header {\n    display: none;\n  }\n  .navbar-expand-xl .offcanvas .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n  }\n}\n.navbar-expand {\n  flex-wrap: nowrap;\n  justify-content: flex-start;\n}\n.navbar-expand .navbar-nav {\n  flex-direction: row;\n}\n.navbar-expand .navbar-nav .dropdown-menu {\n  position: absolute;\n}\n.navbar-expand .navbar-nav .nav-link {\n  padding-right: var(--bs-navbar-nav-link-padding-x);\n  padding-left: var(--bs-navbar-nav-link-padding-x);\n}\n.navbar-expand .navbar-nav-scroll {\n  overflow: visible;\n}\n.navbar-expand .navbar-collapse {\n  display: flex !important;\n  flex-basis: auto;\n}\n.navbar-expand .navbar-toggler {\n  display: none;\n}\n.navbar-expand .offcanvas {\n  position: static;\n  z-index: auto;\n  flex-grow: 1;\n  width: auto !important;\n  height: auto !important;\n  visibility: visible !important;\n  background-color: transparent !important;\n  border: 0 !important;\n  transform: none !important;\n  transition: none;\n}\n.navbar-expand .offcanvas .offcanvas-header {\n  display: none;\n}\n.navbar-expand .offcanvas .offcanvas-body {\n  display: flex;\n  flex-grow: 0;\n  padding: 0;\n  overflow-y: visible;\n}\n\n.navbar-dark,\n.navbar[data-bs-theme=dark] {\n  --bs-navbar-color: rgba(255, 255, 255, 0.55);\n  --bs-navbar-hover-color: rgba(255, 255, 255, 0.75);\n  --bs-navbar-disabled-color: rgba(255, 255, 255, 0.25);\n  --bs-navbar-active-color: #fff;\n  --bs-navbar-brand-color: #fff;\n  --bs-navbar-brand-hover-color: #fff;\n  --bs-navbar-toggler-border-color: rgba(255, 255, 255, 0.1);\n  --bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");\n}\n\n[data-bs-theme=dark] .navbar-toggler-icon {\n  --bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");\n}\n\n.card {\n  --bs-card-spacer-y: 1rem;\n  --bs-card-spacer-x: 1rem;\n  --bs-card-title-spacer-y: 0.5rem;\n  --bs-card-title-color: ;\n  --bs-card-subtitle-color: ;\n  --bs-card-border-width: var(--bs-border-width);\n  --bs-card-border-color: var(--bs-border-color-translucent);\n  --bs-card-border-radius: var(--bs-border-radius);\n  --bs-card-box-shadow: ;\n  --bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));\n  --bs-card-cap-padding-y: 0.5rem;\n  --bs-card-cap-padding-x: 1rem;\n  --bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);\n  --bs-card-cap-color: ;\n  --bs-card-height: ;\n  --bs-card-color: ;\n  --bs-card-bg: var(--bs-body-bg);\n  --bs-card-img-overlay-padding: 1rem;\n  --bs-card-group-margin: 0.75rem;\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  min-width: 0;\n  height: var(--bs-card-height);\n  color: var(--bs-body-color);\n  word-wrap: break-word;\n  background-color: var(--bs-card-bg);\n  background-clip: border-box;\n  border: var(--bs-card-border-width) solid var(--bs-card-border-color);\n  border-radius: var(--bs-card-border-radius);\n}\n.card > hr {\n  margin-right: 0;\n  margin-left: 0;\n}\n.card > .list-group {\n  border-top: inherit;\n  border-bottom: inherit;\n}\n.card > .list-group:first-child {\n  border-top-width: 0;\n  border-top-left-radius: var(--bs-card-inner-border-radius);\n  border-top-right-radius: var(--bs-card-inner-border-radius);\n}\n.card > .list-group:last-child {\n  border-bottom-width: 0;\n  border-bottom-right-radius: var(--bs-card-inner-border-radius);\n  border-bottom-left-radius: var(--bs-card-inner-border-radius);\n}\n.card > .card-header + .list-group,\n.card > .list-group + .card-footer {\n  border-top: 0;\n}\n\n.card-body {\n  flex: 1 1 auto;\n  padding: var(--bs-card-spacer-y) var(--bs-card-spacer-x);\n  color: var(--bs-card-color);\n}\n\n.card-title {\n  margin-bottom: var(--bs-card-title-spacer-y);\n  color: var(--bs-card-title-color);\n}\n\n.card-subtitle {\n  margin-top: calc(-0.5 * var(--bs-card-title-spacer-y));\n  margin-bottom: 0;\n  color: var(--bs-card-subtitle-color);\n}\n\n.card-text:last-child {\n  margin-bottom: 0;\n}\n\n.card-link + .card-link {\n  margin-left: var(--bs-card-spacer-x);\n}\n\n.card-header {\n  padding: var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);\n  margin-bottom: 0;\n  color: var(--bs-card-cap-color);\n  background-color: var(--bs-card-cap-bg);\n  border-bottom: var(--bs-card-border-width) solid var(--bs-card-border-color);\n}\n.card-header:first-child {\n  border-radius: var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0;\n}\n\n.card-footer {\n  padding: var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);\n  color: var(--bs-card-cap-color);\n  background-color: var(--bs-card-cap-bg);\n  border-top: var(--bs-card-border-width) solid var(--bs-card-border-color);\n}\n.card-footer:last-child {\n  border-radius: 0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius);\n}\n\n.card-header-tabs {\n  margin-right: calc(-0.5 * var(--bs-card-cap-padding-x));\n  margin-bottom: calc(-1 * var(--bs-card-cap-padding-y));\n  margin-left: calc(-0.5 * var(--bs-card-cap-padding-x));\n  border-bottom: 0;\n}\n.card-header-tabs .nav-link.active {\n  background-color: var(--bs-card-bg);\n  border-bottom-color: var(--bs-card-bg);\n}\n\n.card-header-pills {\n  margin-right: calc(-0.5 * var(--bs-card-cap-padding-x));\n  margin-left: calc(-0.5 * var(--bs-card-cap-padding-x));\n}\n\n.card-img-overlay {\n  position: absolute;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  padding: var(--bs-card-img-overlay-padding);\n  border-radius: var(--bs-card-inner-border-radius);\n}\n\n.card-img,\n.card-img-top,\n.card-img-bottom {\n  width: 100%;\n}\n\n.card-img,\n.card-img-top {\n  border-top-left-radius: var(--bs-card-inner-border-radius);\n  border-top-right-radius: var(--bs-card-inner-border-radius);\n}\n\n.card-img,\n.card-img-bottom {\n  border-bottom-right-radius: var(--bs-card-inner-border-radius);\n  border-bottom-left-radius: var(--bs-card-inner-border-radius);\n}\n\n.card-group > .card {\n  margin-bottom: var(--bs-card-group-margin);\n}\n@media (min-width: 540px) {\n  .card-group {\n    display: flex;\n    flex-flow: row wrap;\n  }\n  .card-group > .card {\n    flex: 1 0 0%;\n    margin-bottom: 0;\n  }\n  .card-group > .card + .card {\n    margin-left: 0;\n    border-left: 0;\n  }\n  .card-group > .card:not(:last-child) {\n    border-top-right-radius: 0;\n    border-bottom-right-radius: 0;\n  }\n  .card-group > .card:not(:last-child) .card-img-top,\n  .card-group > .card:not(:last-child) .card-header {\n    border-top-right-radius: 0;\n  }\n  .card-group > .card:not(:last-child) .card-img-bottom,\n  .card-group > .card:not(:last-child) .card-footer {\n    border-bottom-right-radius: 0;\n  }\n  .card-group > .card:not(:first-child) {\n    border-top-left-radius: 0;\n    border-bottom-left-radius: 0;\n  }\n  .card-group > .card:not(:first-child) .card-img-top,\n  .card-group > .card:not(:first-child) .card-header {\n    border-top-left-radius: 0;\n  }\n  .card-group > .card:not(:first-child) .card-img-bottom,\n  .card-group > .card:not(:first-child) .card-footer {\n    border-bottom-left-radius: 0;\n  }\n}\n\n.accordion {\n  --bs-accordion-color: var(--bs-body-color);\n  --bs-accordion-bg: var(--bs-body-bg);\n  --bs-accordion-transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out, border-radius 0.15s ease;\n  --bs-accordion-border-color: var(--bs-border-color);\n  --bs-accordion-border-width: var(--bs-border-width);\n  --bs-accordion-border-radius: var(--bs-border-radius);\n  --bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));\n  --bs-accordion-btn-padding-x: 1.25rem;\n  --bs-accordion-btn-padding-y: 1rem;\n  --bs-accordion-btn-color: var(--bs-body-color);\n  --bs-accordion-btn-bg: var(--bs-accordion-bg);\n  --bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='%23212529' stroke-linecap='round' stroke-linejoin='round'%3e%3cpath d='M2 5L8 11L14 5'/%3e%3c/svg%3e\");\n  --bs-accordion-btn-icon-width: 1.25rem;\n  --bs-accordion-btn-icon-transform: rotate(-180deg);\n  --bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;\n  --bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='%23052c65' stroke-linecap='round' stroke-linejoin='round'%3e%3cpath d='M2 5L8 11L14 5'/%3e%3c/svg%3e\");\n  --bs-accordion-btn-focus-box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n  --bs-accordion-body-padding-x: 1.25rem;\n  --bs-accordion-body-padding-y: 1rem;\n  --bs-accordion-active-color: var(--bs-primary-text-emphasis);\n  --bs-accordion-active-bg: var(--bs-primary-bg-subtle);\n}\n\n.accordion-button {\n  position: relative;\n  display: flex;\n  align-items: center;\n  width: 100%;\n  padding: var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);\n  font-size: 1rem;\n  color: var(--bs-accordion-btn-color);\n  text-align: left;\n  background-color: var(--bs-accordion-btn-bg);\n  border: 0;\n  border-radius: 0;\n  overflow-anchor: none;\n  transition: var(--bs-accordion-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .accordion-button {\n    transition: none;\n  }\n}\n.accordion-button:not(.collapsed) {\n  color: var(--bs-accordion-active-color);\n  background-color: var(--bs-accordion-active-bg);\n  box-shadow: inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color);\n}\n.accordion-button:not(.collapsed)::after {\n  background-image: var(--bs-accordion-btn-active-icon);\n  transform: var(--bs-accordion-btn-icon-transform);\n}\n.accordion-button::after {\n  flex-shrink: 0;\n  width: var(--bs-accordion-btn-icon-width);\n  height: var(--bs-accordion-btn-icon-width);\n  margin-left: auto;\n  content: \"\";\n  background-image: var(--bs-accordion-btn-icon);\n  background-repeat: no-repeat;\n  background-size: var(--bs-accordion-btn-icon-width);\n  transition: var(--bs-accordion-btn-icon-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .accordion-button::after {\n    transition: none;\n  }\n}\n.accordion-button:hover {\n  z-index: 2;\n}\n.accordion-button:focus {\n  z-index: 3;\n  outline: 0;\n  box-shadow: var(--bs-accordion-btn-focus-box-shadow);\n}\n\n.accordion-header {\n  margin-bottom: 0;\n}\n\n.accordion-item {\n  color: var(--bs-accordion-color);\n  background-color: var(--bs-accordion-bg);\n  border: var(--bs-accordion-border-width) solid var(--bs-accordion-border-color);\n}\n.accordion-item:first-of-type {\n  border-top-left-radius: var(--bs-accordion-border-radius);\n  border-top-right-radius: var(--bs-accordion-border-radius);\n}\n.accordion-item:first-of-type > .accordion-header .accordion-button {\n  border-top-left-radius: var(--bs-accordion-inner-border-radius);\n  border-top-right-radius: var(--bs-accordion-inner-border-radius);\n}\n.accordion-item:not(:first-of-type) {\n  border-top: 0;\n}\n.accordion-item:last-of-type {\n  border-bottom-right-radius: var(--bs-accordion-border-radius);\n  border-bottom-left-radius: var(--bs-accordion-border-radius);\n}\n.accordion-item:last-of-type > .accordion-header .accordion-button.collapsed {\n  border-bottom-right-radius: var(--bs-accordion-inner-border-radius);\n  border-bottom-left-radius: var(--bs-accordion-inner-border-radius);\n}\n.accordion-item:last-of-type > .accordion-collapse {\n  border-bottom-right-radius: var(--bs-accordion-border-radius);\n  border-bottom-left-radius: var(--bs-accordion-border-radius);\n}\n\n.accordion-body {\n  padding: var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x);\n}\n\n.accordion-flush > .accordion-item {\n  border-right: 0;\n  border-left: 0;\n  border-radius: 0;\n}\n.accordion-flush > .accordion-item:first-child {\n  border-top: 0;\n}\n.accordion-flush > .accordion-item:last-child {\n  border-bottom: 0;\n}\n.accordion-flush > .accordion-item > .accordion-header .accordion-button, .accordion-flush > .accordion-item > .accordion-header .accordion-button.collapsed {\n  border-radius: 0;\n}\n.accordion-flush > .accordion-item > .accordion-collapse {\n  border-radius: 0;\n}\n\n[data-bs-theme=dark] .accordion-button::after {\n  --bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");\n  --bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");\n}\n\n.breadcrumb {\n  --bs-breadcrumb-padding-x: 0;\n  --bs-breadcrumb-padding-y: 0;\n  --bs-breadcrumb-margin-bottom: 1rem;\n  --bs-breadcrumb-bg: ;\n  --bs-breadcrumb-border-radius: ;\n  --bs-breadcrumb-divider-color: var(--bs-secondary-color);\n  --bs-breadcrumb-item-padding-x: 0.5rem;\n  --bs-breadcrumb-item-active-color: var(--bs-secondary-color);\n  display: flex;\n  flex-wrap: wrap;\n  padding: var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);\n  margin-bottom: var(--bs-breadcrumb-margin-bottom);\n  font-size: var(--bs-breadcrumb-font-size);\n  list-style: none;\n  background-color: var(--bs-breadcrumb-bg);\n  border-radius: var(--bs-breadcrumb-border-radius);\n}\n\n.breadcrumb-item + .breadcrumb-item {\n  padding-left: var(--bs-breadcrumb-item-padding-x);\n}\n.breadcrumb-item + .breadcrumb-item::before {\n  float: left;\n  padding-right: var(--bs-breadcrumb-item-padding-x);\n  color: var(--bs-breadcrumb-divider-color);\n  content: var(--bs-breadcrumb-divider, \"/\") /* rtl: var(--bs-breadcrumb-divider, \"/\") */;\n}\n.breadcrumb-item.active {\n  color: var(--bs-breadcrumb-item-active-color);\n}\n\n.pagination {\n  --bs-pagination-padding-x: 0.75rem;\n  --bs-pagination-padding-y: 0.375rem;\n  --bs-pagination-font-size: 1rem;\n  --bs-pagination-color: var(--bs-link-color);\n  --bs-pagination-bg: var(--bs-body-bg);\n  --bs-pagination-border-width: var(--bs-border-width);\n  --bs-pagination-border-color: var(--bs-border-color);\n  --bs-pagination-border-radius: var(--bs-border-radius);\n  --bs-pagination-hover-color: var(--bs-link-hover-color);\n  --bs-pagination-hover-bg: var(--bs-tertiary-bg);\n  --bs-pagination-hover-border-color: var(--bs-border-color);\n  --bs-pagination-focus-color: var(--bs-link-hover-color);\n  --bs-pagination-focus-bg: var(--bs-secondary-bg);\n  --bs-pagination-focus-box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n  --bs-pagination-active-color: #fff;\n  --bs-pagination-active-bg: #0d6efd;\n  --bs-pagination-active-border-color: #0d6efd;\n  --bs-pagination-disabled-color: var(--bs-secondary-color);\n  --bs-pagination-disabled-bg: var(--bs-secondary-bg);\n  --bs-pagination-disabled-border-color: var(--bs-border-color);\n  display: flex;\n  padding-left: 0;\n  list-style: none;\n}\n\n.page-link {\n  position: relative;\n  display: block;\n  padding: var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);\n  font-size: var(--bs-pagination-font-size);\n  color: var(--bs-pagination-color);\n  text-decoration: none;\n  background-color: var(--bs-pagination-bg);\n  border: var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);\n  transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .page-link {\n    transition: none;\n  }\n}\n.page-link:hover {\n  z-index: 2;\n  color: var(--bs-pagination-hover-color);\n  background-color: var(--bs-pagination-hover-bg);\n  border-color: var(--bs-pagination-hover-border-color);\n}\n.page-link:focus {\n  z-index: 3;\n  color: var(--bs-pagination-focus-color);\n  background-color: var(--bs-pagination-focus-bg);\n  outline: 0;\n  box-shadow: var(--bs-pagination-focus-box-shadow);\n}\n.page-link.active, .active > .page-link {\n  z-index: 3;\n  color: var(--bs-pagination-active-color);\n  background-color: var(--bs-pagination-active-bg);\n  border-color: var(--bs-pagination-active-border-color);\n}\n.page-link.disabled, .disabled > .page-link {\n  color: var(--bs-pagination-disabled-color);\n  pointer-events: none;\n  background-color: var(--bs-pagination-disabled-bg);\n  border-color: var(--bs-pagination-disabled-border-color);\n}\n\n.page-item:not(:first-child) .page-link {\n  margin-left: calc(var(--bs-border-width) * -1);\n}\n.page-item:first-child .page-link {\n  border-top-left-radius: var(--bs-pagination-border-radius);\n  border-bottom-left-radius: var(--bs-pagination-border-radius);\n}\n.page-item:last-child .page-link {\n  border-top-right-radius: var(--bs-pagination-border-radius);\n  border-bottom-right-radius: var(--bs-pagination-border-radius);\n}\n\n.pagination-lg {\n  --bs-pagination-padding-x: 1.5rem;\n  --bs-pagination-padding-y: 0.75rem;\n  --bs-pagination-font-size: 1.25rem;\n  --bs-pagination-border-radius: var(--bs-border-radius-lg);\n}\n\n.pagination-sm {\n  --bs-pagination-padding-x: 0.5rem;\n  --bs-pagination-padding-y: 0.25rem;\n  --bs-pagination-font-size: 0.875rem;\n  --bs-pagination-border-radius: var(--bs-border-radius-sm);\n}\n\n.badge {\n  --bs-badge-padding-x: 0.65em;\n  --bs-badge-padding-y: 0.35em;\n  --bs-badge-font-size: 0.75em;\n  --bs-badge-font-weight: 700;\n  --bs-badge-color: #fff;\n  --bs-badge-border-radius: var(--bs-border-radius);\n  display: inline-block;\n  padding: var(--bs-badge-padding-y) var(--bs-badge-padding-x);\n  font-size: var(--bs-badge-font-size);\n  font-weight: var(--bs-badge-font-weight);\n  line-height: 1;\n  color: var(--bs-badge-color);\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  border-radius: var(--bs-badge-border-radius);\n}\n.badge:empty {\n  display: none;\n}\n\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n\n.alert {\n  --bs-alert-bg: transparent;\n  --bs-alert-padding-x: 1rem;\n  --bs-alert-padding-y: 1rem;\n  --bs-alert-margin-bottom: 1rem;\n  --bs-alert-color: inherit;\n  --bs-alert-border-color: transparent;\n  --bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);\n  --bs-alert-border-radius: var(--bs-border-radius);\n  --bs-alert-link-color: inherit;\n  position: relative;\n  padding: var(--bs-alert-padding-y) var(--bs-alert-padding-x);\n  margin-bottom: var(--bs-alert-margin-bottom);\n  color: var(--bs-alert-color);\n  background-color: var(--bs-alert-bg);\n  border: var(--bs-alert-border);\n  border-radius: var(--bs-alert-border-radius);\n}\n\n.alert-heading {\n  color: inherit;\n}\n\n.alert-link {\n  font-weight: 700;\n  color: var(--bs-alert-link-color);\n}\n\n.alert-dismissible {\n  padding-right: 3rem;\n}\n.alert-dismissible .btn-close {\n  position: absolute;\n  top: 0;\n  right: 0;\n  z-index: 2;\n  padding: 1.25rem 1rem;\n}\n\n.alert-primary {\n  --bs-alert-color: var(--bs-primary-text-emphasis);\n  --bs-alert-bg: var(--bs-primary-bg-subtle);\n  --bs-alert-border-color: var(--bs-primary-border-subtle);\n  --bs-alert-link-color: var(--bs-primary-text-emphasis);\n}\n\n.alert-secondary {\n  --bs-alert-color: var(--bs-secondary-text-emphasis);\n  --bs-alert-bg: var(--bs-secondary-bg-subtle);\n  --bs-alert-border-color: var(--bs-secondary-border-subtle);\n  --bs-alert-link-color: var(--bs-secondary-text-emphasis);\n}\n\n.alert-success {\n  --bs-alert-color: var(--bs-success-text-emphasis);\n  --bs-alert-bg: var(--bs-success-bg-subtle);\n  --bs-alert-border-color: var(--bs-success-border-subtle);\n  --bs-alert-link-color: var(--bs-success-text-emphasis);\n}\n\n.alert-info {\n  --bs-alert-color: var(--bs-info-text-emphasis);\n  --bs-alert-bg: var(--bs-info-bg-subtle);\n  --bs-alert-border-color: var(--bs-info-border-subtle);\n  --bs-alert-link-color: var(--bs-info-text-emphasis);\n}\n\n.alert-warning {\n  --bs-alert-color: var(--bs-warning-text-emphasis);\n  --bs-alert-bg: var(--bs-warning-bg-subtle);\n  --bs-alert-border-color: var(--bs-warning-border-subtle);\n  --bs-alert-link-color: var(--bs-warning-text-emphasis);\n}\n\n.alert-danger {\n  --bs-alert-color: var(--bs-danger-text-emphasis);\n  --bs-alert-bg: var(--bs-danger-bg-subtle);\n  --bs-alert-border-color: var(--bs-danger-border-subtle);\n  --bs-alert-link-color: var(--bs-danger-text-emphasis);\n}\n\n.alert-light {\n  --bs-alert-color: var(--bs-light-text-emphasis);\n  --bs-alert-bg: var(--bs-light-bg-subtle);\n  --bs-alert-border-color: var(--bs-light-border-subtle);\n  --bs-alert-link-color: var(--bs-light-text-emphasis);\n}\n\n.alert-dark {\n  --bs-alert-color: var(--bs-dark-text-emphasis);\n  --bs-alert-bg: var(--bs-dark-bg-subtle);\n  --bs-alert-border-color: var(--bs-dark-border-subtle);\n  --bs-alert-link-color: var(--bs-dark-text-emphasis);\n}\n\n@keyframes progress-bar-stripes {\n  0% {\n    background-position-x: 1rem;\n  }\n}\n.progress,\n.progress-stacked {\n  --bs-progress-height: 1rem;\n  --bs-progress-font-size: 0.75rem;\n  --bs-progress-bg: var(--bs-secondary-bg);\n  --bs-progress-border-radius: var(--bs-border-radius);\n  --bs-progress-box-shadow: var(--bs-box-shadow-inset);\n  --bs-progress-bar-color: #fff;\n  --bs-progress-bar-bg: #0d6efd;\n  --bs-progress-bar-transition: width 0.6s ease;\n  display: flex;\n  height: var(--bs-progress-height);\n  overflow: hidden;\n  font-size: var(--bs-progress-font-size);\n  background-color: var(--bs-progress-bg);\n  border-radius: var(--bs-progress-border-radius);\n}\n\n.progress-bar {\n  display: flex;\n  flex-direction: column;\n  justify-content: center;\n  overflow: hidden;\n  color: var(--bs-progress-bar-color);\n  text-align: center;\n  white-space: nowrap;\n  background-color: var(--bs-progress-bar-bg);\n  transition: var(--bs-progress-bar-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .progress-bar {\n    transition: none;\n  }\n}\n\n.progress-bar-striped {\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-size: var(--bs-progress-height) var(--bs-progress-height);\n}\n\n.progress-stacked > .progress {\n  overflow: visible;\n}\n\n.progress-stacked > .progress > .progress-bar {\n  width: 100%;\n}\n\n.progress-bar-animated {\n  animation: 1s linear infinite progress-bar-stripes;\n}\n@media (prefers-reduced-motion: reduce) {\n  .progress-bar-animated {\n    animation: none;\n  }\n}\n\n.list-group {\n  --bs-list-group-color: var(--bs-body-color);\n  --bs-list-group-bg: var(--bs-body-bg);\n  --bs-list-group-border-color: var(--bs-border-color);\n  --bs-list-group-border-width: var(--bs-border-width);\n  --bs-list-group-border-radius: var(--bs-border-radius);\n  --bs-list-group-item-padding-x: 1rem;\n  --bs-list-group-item-padding-y: 0.5rem;\n  --bs-list-group-action-color: var(--bs-secondary-color);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-tertiary-bg);\n  --bs-list-group-action-active-color: var(--bs-body-color);\n  --bs-list-group-action-active-bg: var(--bs-secondary-bg);\n  --bs-list-group-disabled-color: var(--bs-secondary-color);\n  --bs-list-group-disabled-bg: var(--bs-body-bg);\n  --bs-list-group-active-color: #fff;\n  --bs-list-group-active-bg: #0d6efd;\n  --bs-list-group-active-border-color: #0d6efd;\n  display: flex;\n  flex-direction: column;\n  padding-left: 0;\n  margin-bottom: 0;\n  border-radius: var(--bs-list-group-border-radius);\n}\n\n.list-group-numbered {\n  list-style-type: none;\n  counter-reset: section;\n}\n.list-group-numbered > .list-group-item::before {\n  content: counters(section, \".\") \". \";\n  counter-increment: section;\n}\n\n.list-group-item-action {\n  width: 100%;\n  color: var(--bs-list-group-action-color);\n  text-align: inherit;\n}\n.list-group-item-action:hover, .list-group-item-action:focus {\n  z-index: 1;\n  color: var(--bs-list-group-action-hover-color);\n  text-decoration: none;\n  background-color: var(--bs-list-group-action-hover-bg);\n}\n.list-group-item-action:active {\n  color: var(--bs-list-group-action-active-color);\n  background-color: var(--bs-list-group-action-active-bg);\n}\n\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);\n  color: var(--bs-list-group-color);\n  text-decoration: none;\n  background-color: var(--bs-list-group-bg);\n  border: var(--bs-list-group-border-width) solid var(--bs-list-group-border-color);\n}\n.list-group-item:first-child {\n  border-top-left-radius: inherit;\n  border-top-right-radius: inherit;\n}\n.list-group-item:last-child {\n  border-bottom-right-radius: inherit;\n  border-bottom-left-radius: inherit;\n}\n.list-group-item.disabled, .list-group-item:disabled {\n  color: var(--bs-list-group-disabled-color);\n  pointer-events: none;\n  background-color: var(--bs-list-group-disabled-bg);\n}\n.list-group-item.active {\n  z-index: 2;\n  color: var(--bs-list-group-active-color);\n  background-color: var(--bs-list-group-active-bg);\n  border-color: var(--bs-list-group-active-border-color);\n}\n.list-group-item + .list-group-item {\n  border-top-width: 0;\n}\n.list-group-item + .list-group-item.active {\n  margin-top: calc(-1 * var(--bs-list-group-border-width));\n  border-top-width: var(--bs-list-group-border-width);\n}\n\n.list-group-horizontal {\n  flex-direction: row;\n}\n.list-group-horizontal > .list-group-item:first-child:not(:last-child) {\n  border-bottom-left-radius: var(--bs-list-group-border-radius);\n  border-top-right-radius: 0;\n}\n.list-group-horizontal > .list-group-item:last-child:not(:first-child) {\n  border-top-right-radius: var(--bs-list-group-border-radius);\n  border-bottom-left-radius: 0;\n}\n.list-group-horizontal > .list-group-item.active {\n  margin-top: 0;\n}\n.list-group-horizontal > .list-group-item + .list-group-item {\n  border-top-width: var(--bs-list-group-border-width);\n  border-left-width: 0;\n}\n.list-group-horizontal > .list-group-item + .list-group-item.active {\n  margin-left: calc(-1 * var(--bs-list-group-border-width));\n  border-left-width: var(--bs-list-group-border-width);\n}\n\n@media (min-width: 540px) {\n  .list-group-horizontal-sm {\n    flex-direction: row;\n  }\n  .list-group-horizontal-sm > .list-group-item:first-child:not(:last-child) {\n    border-bottom-left-radius: var(--bs-list-group-border-radius);\n    border-top-right-radius: 0;\n  }\n  .list-group-horizontal-sm > .list-group-item:last-child:not(:first-child) {\n    border-top-right-radius: var(--bs-list-group-border-radius);\n    border-bottom-left-radius: 0;\n  }\n  .list-group-horizontal-sm > .list-group-item.active {\n    margin-top: 0;\n  }\n  .list-group-horizontal-sm > .list-group-item + .list-group-item {\n    border-top-width: var(--bs-list-group-border-width);\n    border-left-width: 0;\n  }\n  .list-group-horizontal-sm > .list-group-item + .list-group-item.active {\n    margin-left: calc(-1 * var(--bs-list-group-border-width));\n    border-left-width: var(--bs-list-group-border-width);\n  }\n}\n@media (min-width: 720px) {\n  .list-group-horizontal-md {\n    flex-direction: row;\n  }\n  .list-group-horizontal-md > .list-group-item:first-child:not(:last-child) {\n    border-bottom-left-radius: var(--bs-list-group-border-radius);\n    border-top-right-radius: 0;\n  }\n  .list-group-horizontal-md > .list-group-item:last-child:not(:first-child) {\n    border-top-right-radius: var(--bs-list-group-border-radius);\n    border-bottom-left-radius: 0;\n  }\n  .list-group-horizontal-md > .list-group-item.active {\n    margin-top: 0;\n  }\n  .list-group-horizontal-md > .list-group-item + .list-group-item {\n    border-top-width: var(--bs-list-group-border-width);\n    border-left-width: 0;\n  }\n  .list-group-horizontal-md > .list-group-item + .list-group-item.active {\n    margin-left: calc(-1 * var(--bs-list-group-border-width));\n    border-left-width: var(--bs-list-group-border-width);\n  }\n}\n@media (min-width: 960px) {\n  .list-group-horizontal-lg {\n    flex-direction: row;\n  }\n  .list-group-horizontal-lg > .list-group-item:first-child:not(:last-child) {\n    border-bottom-left-radius: var(--bs-list-group-border-radius);\n    border-top-right-radius: 0;\n  }\n  .list-group-horizontal-lg > .list-group-item:last-child:not(:first-child) {\n    border-top-right-radius: var(--bs-list-group-border-radius);\n    border-bottom-left-radius: 0;\n  }\n  .list-group-horizontal-lg > .list-group-item.active {\n    margin-top: 0;\n  }\n  .list-group-horizontal-lg > .list-group-item + .list-group-item {\n    border-top-width: var(--bs-list-group-border-width);\n    border-left-width: 0;\n  }\n  .list-group-horizontal-lg > .list-group-item + .list-group-item.active {\n    margin-left: calc(-1 * var(--bs-list-group-border-width));\n    border-left-width: var(--bs-list-group-border-width);\n  }\n}\n@media (min-width: 1200px) {\n  .list-group-horizontal-xl {\n    flex-direction: row;\n  }\n  .list-group-horizontal-xl > .list-group-item:first-child:not(:last-child) {\n    border-bottom-left-radius: var(--bs-list-group-border-radius);\n    border-top-right-radius: 0;\n  }\n  .list-group-horizontal-xl > .list-group-item:last-child:not(:first-child) {\n    border-top-right-radius: var(--bs-list-group-border-radius);\n    border-bottom-left-radius: 0;\n  }\n  .list-group-horizontal-xl > .list-group-item.active {\n    margin-top: 0;\n  }\n  .list-group-horizontal-xl > .list-group-item + .list-group-item {\n    border-top-width: var(--bs-list-group-border-width);\n    border-left-width: 0;\n  }\n  .list-group-horizontal-xl > .list-group-item + .list-group-item.active {\n    margin-left: calc(-1 * var(--bs-list-group-border-width));\n    border-left-width: var(--bs-list-group-border-width);\n  }\n}\n.list-group-flush {\n  border-radius: 0;\n}\n.list-group-flush > .list-group-item {\n  border-width: 0 0 var(--bs-list-group-border-width);\n}\n.list-group-flush > .list-group-item:last-child {\n  border-bottom-width: 0;\n}\n\n.list-group-item-primary {\n  --bs-list-group-color: var(--bs-primary-text-emphasis);\n  --bs-list-group-bg: var(--bs-primary-bg-subtle);\n  --bs-list-group-border-color: var(--bs-primary-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-primary-border-subtle);\n  --bs-list-group-active-color: var(--bs-primary-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-primary-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-primary-text-emphasis);\n}\n\n.list-group-item-secondary {\n  --bs-list-group-color: var(--bs-secondary-text-emphasis);\n  --bs-list-group-bg: var(--bs-secondary-bg-subtle);\n  --bs-list-group-border-color: var(--bs-secondary-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);\n  --bs-list-group-active-color: var(--bs-secondary-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-secondary-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-secondary-text-emphasis);\n}\n\n.list-group-item-success {\n  --bs-list-group-color: var(--bs-success-text-emphasis);\n  --bs-list-group-bg: var(--bs-success-bg-subtle);\n  --bs-list-group-border-color: var(--bs-success-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-success-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-success-border-subtle);\n  --bs-list-group-active-color: var(--bs-success-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-success-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-success-text-emphasis);\n}\n\n.list-group-item-info {\n  --bs-list-group-color: var(--bs-info-text-emphasis);\n  --bs-list-group-bg: var(--bs-info-bg-subtle);\n  --bs-list-group-border-color: var(--bs-info-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-info-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-info-border-subtle);\n  --bs-list-group-active-color: var(--bs-info-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-info-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-info-text-emphasis);\n}\n\n.list-group-item-warning {\n  --bs-list-group-color: var(--bs-warning-text-emphasis);\n  --bs-list-group-bg: var(--bs-warning-bg-subtle);\n  --bs-list-group-border-color: var(--bs-warning-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-warning-border-subtle);\n  --bs-list-group-active-color: var(--bs-warning-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-warning-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-warning-text-emphasis);\n}\n\n.list-group-item-danger {\n  --bs-list-group-color: var(--bs-danger-text-emphasis);\n  --bs-list-group-bg: var(--bs-danger-bg-subtle);\n  --bs-list-group-border-color: var(--bs-danger-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-danger-border-subtle);\n  --bs-list-group-active-color: var(--bs-danger-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-danger-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-danger-text-emphasis);\n}\n\n.list-group-item-light {\n  --bs-list-group-color: var(--bs-light-text-emphasis);\n  --bs-list-group-bg: var(--bs-light-bg-subtle);\n  --bs-list-group-border-color: var(--bs-light-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-light-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-light-border-subtle);\n  --bs-list-group-active-color: var(--bs-light-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-light-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-light-text-emphasis);\n}\n\n.list-group-item-dark {\n  --bs-list-group-color: var(--bs-dark-text-emphasis);\n  --bs-list-group-bg: var(--bs-dark-bg-subtle);\n  --bs-list-group-border-color: var(--bs-dark-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-dark-border-subtle);\n  --bs-list-group-active-color: var(--bs-dark-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-dark-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-dark-text-emphasis);\n}\n\n.btn-close {\n  --bs-btn-close-color: #000;\n  --bs-btn-close-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e\");\n  --bs-btn-close-opacity: 0.5;\n  --bs-btn-close-hover-opacity: 0.75;\n  --bs-btn-close-focus-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n  --bs-btn-close-focus-opacity: 1;\n  --bs-btn-close-disabled-opacity: 0.25;\n  --bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);\n  box-sizing: content-box;\n  width: 1em;\n  height: 1em;\n  padding: 0.25em 0.25em;\n  color: var(--bs-btn-close-color);\n  background: transparent var(--bs-btn-close-bg) center/1em auto no-repeat;\n  border: 0;\n  border-radius: 0.375rem;\n  opacity: var(--bs-btn-close-opacity);\n}\n.btn-close:hover {\n  color: var(--bs-btn-close-color);\n  text-decoration: none;\n  opacity: var(--bs-btn-close-hover-opacity);\n}\n.btn-close:focus {\n  outline: 0;\n  box-shadow: var(--bs-btn-close-focus-shadow);\n  opacity: var(--bs-btn-close-focus-opacity);\n}\n.btn-close:disabled, .btn-close.disabled {\n  pointer-events: none;\n  user-select: none;\n  opacity: var(--bs-btn-close-disabled-opacity);\n}\n\n.btn-close-white {\n  filter: var(--bs-btn-close-white-filter);\n}\n\n[data-bs-theme=dark] .btn-close {\n  filter: var(--bs-btn-close-white-filter);\n}\n\n.toast {\n  --bs-toast-zindex: 1090;\n  --bs-toast-padding-x: 0.75rem;\n  --bs-toast-padding-y: 0.5rem;\n  --bs-toast-spacing: 1.5rem;\n  --bs-toast-max-width: 350px;\n  --bs-toast-font-size: 0.875rem;\n  --bs-toast-color: ;\n  --bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);\n  --bs-toast-border-width: var(--bs-border-width);\n  --bs-toast-border-color: var(--bs-border-color-translucent);\n  --bs-toast-border-radius: var(--bs-border-radius);\n  --bs-toast-box-shadow: var(--bs-box-shadow);\n  --bs-toast-header-color: var(--bs-secondary-color);\n  --bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);\n  --bs-toast-header-border-color: var(--bs-border-color-translucent);\n  width: var(--bs-toast-max-width);\n  max-width: 100%;\n  font-size: var(--bs-toast-font-size);\n  color: var(--bs-toast-color);\n  pointer-events: auto;\n  background-color: var(--bs-toast-bg);\n  background-clip: padding-box;\n  border: var(--bs-toast-border-width) solid var(--bs-toast-border-color);\n  box-shadow: var(--bs-toast-box-shadow);\n  border-radius: var(--bs-toast-border-radius);\n}\n.toast.showing {\n  opacity: 0;\n}\n.toast:not(.show) {\n  display: none;\n}\n\n.toast-container {\n  --bs-toast-zindex: 1090;\n  position: absolute;\n  z-index: var(--bs-toast-zindex);\n  width: max-content;\n  max-width: 100%;\n  pointer-events: none;\n}\n.toast-container > :not(:last-child) {\n  margin-bottom: var(--bs-toast-spacing);\n}\n\n.toast-header {\n  display: flex;\n  align-items: center;\n  padding: var(--bs-toast-padding-y) var(--bs-toast-padding-x);\n  color: var(--bs-toast-header-color);\n  background-color: var(--bs-toast-header-bg);\n  background-clip: padding-box;\n  border-bottom: var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);\n  border-top-left-radius: calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));\n  border-top-right-radius: calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));\n}\n.toast-header .btn-close {\n  margin-right: calc(-0.5 * var(--bs-toast-padding-x));\n  margin-left: var(--bs-toast-padding-x);\n}\n\n.toast-body {\n  padding: var(--bs-toast-padding-x);\n  word-wrap: break-word;\n}\n\n.modal {\n  --bs-modal-zindex: 1055;\n  --bs-modal-width: 500px;\n  --bs-modal-padding: 1rem;\n  --bs-modal-margin: 0.5rem;\n  --bs-modal-color: ;\n  --bs-modal-bg: var(--bs-body-bg);\n  --bs-modal-border-color: var(--bs-border-color-translucent);\n  --bs-modal-border-width: var(--bs-border-width);\n  --bs-modal-border-radius: var(--bs-border-radius-lg);\n  --bs-modal-box-shadow: var(--bs-box-shadow-sm);\n  --bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));\n  --bs-modal-header-padding-x: 1rem;\n  --bs-modal-header-padding-y: 1rem;\n  --bs-modal-header-padding: 1rem 1rem;\n  --bs-modal-header-border-color: var(--bs-border-color);\n  --bs-modal-header-border-width: var(--bs-border-width);\n  --bs-modal-title-line-height: 1.5;\n  --bs-modal-footer-gap: 0.5rem;\n  --bs-modal-footer-bg: ;\n  --bs-modal-footer-border-color: var(--bs-border-color);\n  --bs-modal-footer-border-width: var(--bs-border-width);\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: var(--bs-modal-zindex);\n  display: none;\n  width: 100%;\n  height: 100%;\n  overflow-x: hidden;\n  overflow-y: auto;\n  outline: 0;\n}\n\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: var(--bs-modal-margin);\n  pointer-events: none;\n}\n.modal.fade .modal-dialog {\n  transition: transform 0.3s ease-out;\n  transform: translate(0, -50px);\n}\n@media (prefers-reduced-motion: reduce) {\n  .modal.fade .modal-dialog {\n    transition: none;\n  }\n}\n.modal.show .modal-dialog {\n  transform: none;\n}\n.modal.modal-static .modal-dialog {\n  transform: scale(1.02);\n}\n\n.modal-dialog-scrollable {\n  height: calc(100% - var(--bs-modal-margin) * 2);\n}\n.modal-dialog-scrollable .modal-content {\n  max-height: 100%;\n  overflow: hidden;\n}\n.modal-dialog-scrollable .modal-body {\n  overflow-y: auto;\n}\n\n.modal-dialog-centered {\n  display: flex;\n  align-items: center;\n  min-height: calc(100% - var(--bs-modal-margin) * 2);\n}\n\n.modal-content {\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  width: 100%;\n  color: var(--bs-modal-color);\n  pointer-events: auto;\n  background-color: var(--bs-modal-bg);\n  background-clip: padding-box;\n  border: var(--bs-modal-border-width) solid var(--bs-modal-border-color);\n  border-radius: var(--bs-modal-border-radius);\n  outline: 0;\n}\n\n.modal-backdrop {\n  --bs-backdrop-zindex: 1050;\n  --bs-backdrop-bg: #000;\n  --bs-backdrop-opacity: 0.5;\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: var(--bs-backdrop-zindex);\n  width: 100vw;\n  height: 100vh;\n  background-color: var(--bs-backdrop-bg);\n}\n.modal-backdrop.fade {\n  opacity: 0;\n}\n.modal-backdrop.show {\n  opacity: var(--bs-backdrop-opacity);\n}\n\n.modal-header {\n  display: flex;\n  flex-shrink: 0;\n  align-items: center;\n  padding: var(--bs-modal-header-padding);\n  border-bottom: var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);\n  border-top-left-radius: var(--bs-modal-inner-border-radius);\n  border-top-right-radius: var(--bs-modal-inner-border-radius);\n}\n.modal-header .btn-close {\n  padding: calc(var(--bs-modal-header-padding-y) * 0.5) calc(var(--bs-modal-header-padding-x) * 0.5);\n  margin: calc(-0.5 * var(--bs-modal-header-padding-y)) calc(-0.5 * var(--bs-modal-header-padding-x)) calc(-0.5 * var(--bs-modal-header-padding-y)) auto;\n}\n\n.modal-title {\n  margin-bottom: 0;\n  line-height: var(--bs-modal-title-line-height);\n}\n\n.modal-body {\n  position: relative;\n  flex: 1 1 auto;\n  padding: var(--bs-modal-padding);\n}\n\n.modal-footer {\n  display: flex;\n  flex-shrink: 0;\n  flex-wrap: wrap;\n  align-items: center;\n  justify-content: flex-end;\n  padding: calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * 0.5);\n  background-color: var(--bs-modal-footer-bg);\n  border-top: var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);\n  border-bottom-right-radius: var(--bs-modal-inner-border-radius);\n  border-bottom-left-radius: var(--bs-modal-inner-border-radius);\n}\n.modal-footer > * {\n  margin: calc(var(--bs-modal-footer-gap) * 0.5);\n}\n\n@media (min-width: 540px) {\n  .modal {\n    --bs-modal-margin: 1.75rem;\n    --bs-modal-box-shadow: var(--bs-box-shadow);\n  }\n  .modal-dialog {\n    max-width: var(--bs-modal-width);\n    margin-right: auto;\n    margin-left: auto;\n  }\n  .modal-sm {\n    --bs-modal-width: 300px;\n  }\n}\n@media (min-width: 960px) {\n  .modal-lg,\n  .modal-xl {\n    --bs-modal-width: 800px;\n  }\n}\n@media (min-width: 1200px) {\n  .modal-xl {\n    --bs-modal-width: 1140px;\n  }\n}\n.modal-fullscreen {\n  width: 100vw;\n  max-width: none;\n  height: 100%;\n  margin: 0;\n}\n.modal-fullscreen .modal-content {\n  height: 100%;\n  border: 0;\n  border-radius: 0;\n}\n.modal-fullscreen .modal-header,\n.modal-fullscreen .modal-footer {\n  border-radius: 0;\n}\n.modal-fullscreen .modal-body {\n  overflow-y: auto;\n}\n\n@media (max-width: 539.98px) {\n  .modal-fullscreen-sm-down {\n    width: 100vw;\n    max-width: none;\n    height: 100%;\n    margin: 0;\n  }\n  .modal-fullscreen-sm-down .modal-content {\n    height: 100%;\n    border: 0;\n    border-radius: 0;\n  }\n  .modal-fullscreen-sm-down .modal-header,\n  .modal-fullscreen-sm-down .modal-footer {\n    border-radius: 0;\n  }\n  .modal-fullscreen-sm-down .modal-body {\n    overflow-y: auto;\n  }\n}\n@media (max-width: 719.98px) {\n  .modal-fullscreen-md-down {\n    width: 100vw;\n    max-width: none;\n    height: 100%;\n    margin: 0;\n  }\n  .modal-fullscreen-md-down .modal-content {\n    height: 100%;\n    border: 0;\n    border-radius: 0;\n  }\n  .modal-fullscreen-md-down .modal-header,\n  .modal-fullscreen-md-down .modal-footer {\n    border-radius: 0;\n  }\n  .modal-fullscreen-md-down .modal-body {\n    overflow-y: auto;\n  }\n}\n@media (max-width: 959.98px) {\n  .modal-fullscreen-lg-down {\n    width: 100vw;\n    max-width: none;\n    height: 100%;\n    margin: 0;\n  }\n  .modal-fullscreen-lg-down .modal-content {\n    height: 100%;\n    border: 0;\n    border-radius: 0;\n  }\n  .modal-fullscreen-lg-down .modal-header,\n  .modal-fullscreen-lg-down .modal-footer {\n    border-radius: 0;\n  }\n  .modal-fullscreen-lg-down .modal-body {\n    overflow-y: auto;\n  }\n}\n@media (max-width: 1199.98px) {\n  .modal-fullscreen-xl-down {\n    width: 100vw;\n    max-width: none;\n    height: 100%;\n    margin: 0;\n  }\n  .modal-fullscreen-xl-down .modal-content {\n    height: 100%;\n    border: 0;\n    border-radius: 0;\n  }\n  .modal-fullscreen-xl-down .modal-header,\n  .modal-fullscreen-xl-down .modal-footer {\n    border-radius: 0;\n  }\n  .modal-fullscreen-xl-down .modal-body {\n    overflow-y: auto;\n  }\n}\n.tooltip {\n  --bs-tooltip-zindex: 1080;\n  --bs-tooltip-max-width: 200px;\n  --bs-tooltip-padding-x: 0.5rem;\n  --bs-tooltip-padding-y: 0.25rem;\n  --bs-tooltip-margin: ;\n  --bs-tooltip-font-size: 0.875rem;\n  --bs-tooltip-color: var(--bs-body-bg);\n  --bs-tooltip-bg: var(--bs-emphasis-color);\n  --bs-tooltip-border-radius: var(--bs-border-radius);\n  --bs-tooltip-opacity: 0.9;\n  --bs-tooltip-arrow-width: 0.8rem;\n  --bs-tooltip-arrow-height: 0.4rem;\n  z-index: var(--bs-tooltip-zindex);\n  display: block;\n  margin: var(--bs-tooltip-margin);\n  font-family: var(--bs-font-sans-serif);\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.5;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  white-space: normal;\n  word-spacing: normal;\n  line-break: auto;\n  font-size: var(--bs-tooltip-font-size);\n  word-wrap: break-word;\n  opacity: 0;\n}\n.tooltip.show {\n  opacity: var(--bs-tooltip-opacity);\n}\n.tooltip .tooltip-arrow {\n  display: block;\n  width: var(--bs-tooltip-arrow-width);\n  height: var(--bs-tooltip-arrow-height);\n}\n.tooltip .tooltip-arrow::before {\n  position: absolute;\n  content: \"\";\n  border-color: transparent;\n  border-style: solid;\n}\n\n.bs-tooltip-top .tooltip-arrow, .bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow {\n  bottom: calc(-1 * var(--bs-tooltip-arrow-height));\n}\n.bs-tooltip-top .tooltip-arrow::before, .bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow::before {\n  top: -1px;\n  border-width: var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * 0.5) 0;\n  border-top-color: var(--bs-tooltip-bg);\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-end .tooltip-arrow, .bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow {\n  left: calc(-1 * var(--bs-tooltip-arrow-height));\n  width: var(--bs-tooltip-arrow-height);\n  height: var(--bs-tooltip-arrow-width);\n}\n.bs-tooltip-end .tooltip-arrow::before, .bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow::before {\n  right: -1px;\n  border-width: calc(var(--bs-tooltip-arrow-width) * 0.5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * 0.5) 0;\n  border-right-color: var(--bs-tooltip-bg);\n}\n\n/* rtl:end:ignore */\n.bs-tooltip-bottom .tooltip-arrow, .bs-tooltip-auto[data-popper-placement^=bottom] .tooltip-arrow {\n  top: calc(-1 * var(--bs-tooltip-arrow-height));\n}\n.bs-tooltip-bottom .tooltip-arrow::before, .bs-tooltip-auto[data-popper-placement^=bottom] .tooltip-arrow::before {\n  bottom: -1px;\n  border-width: 0 calc(var(--bs-tooltip-arrow-width) * 0.5) var(--bs-tooltip-arrow-height);\n  border-bottom-color: var(--bs-tooltip-bg);\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-start .tooltip-arrow, .bs-tooltip-auto[data-popper-placement^=left] .tooltip-arrow {\n  right: calc(-1 * var(--bs-tooltip-arrow-height));\n  width: var(--bs-tooltip-arrow-height);\n  height: var(--bs-tooltip-arrow-width);\n}\n.bs-tooltip-start .tooltip-arrow::before, .bs-tooltip-auto[data-popper-placement^=left] .tooltip-arrow::before {\n  left: -1px;\n  border-width: calc(var(--bs-tooltip-arrow-width) * 0.5) 0 calc(var(--bs-tooltip-arrow-width) * 0.5) var(--bs-tooltip-arrow-height);\n  border-left-color: var(--bs-tooltip-bg);\n}\n\n/* rtl:end:ignore */\n.tooltip-inner {\n  max-width: var(--bs-tooltip-max-width);\n  padding: var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);\n  color: var(--bs-tooltip-color);\n  text-align: center;\n  background-color: var(--bs-tooltip-bg);\n  border-radius: var(--bs-tooltip-border-radius);\n}\n\n.popover {\n  --bs-popover-zindex: 1070;\n  --bs-popover-max-width: 276px;\n  --bs-popover-font-size: 0.875rem;\n  --bs-popover-bg: var(--bs-body-bg);\n  --bs-popover-border-width: var(--bs-border-width);\n  --bs-popover-border-color: var(--bs-border-color-translucent);\n  --bs-popover-border-radius: var(--bs-border-radius-lg);\n  --bs-popover-inner-border-radius: calc(var(--bs-border-radius-lg) - var(--bs-border-width));\n  --bs-popover-box-shadow: var(--bs-box-shadow);\n  --bs-popover-header-padding-x: 1rem;\n  --bs-popover-header-padding-y: 0.5rem;\n  --bs-popover-header-font-size: 1rem;\n  --bs-popover-header-color: inherit;\n  --bs-popover-header-bg: var(--bs-secondary-bg);\n  --bs-popover-body-padding-x: 1rem;\n  --bs-popover-body-padding-y: 1rem;\n  --bs-popover-body-color: var(--bs-body-color);\n  --bs-popover-arrow-width: 1rem;\n  --bs-popover-arrow-height: 0.5rem;\n  --bs-popover-arrow-border: var(--bs-popover-border-color);\n  z-index: var(--bs-popover-zindex);\n  display: block;\n  max-width: var(--bs-popover-max-width);\n  font-family: var(--bs-font-sans-serif);\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.5;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  white-space: normal;\n  word-spacing: normal;\n  line-break: auto;\n  font-size: var(--bs-popover-font-size);\n  word-wrap: break-word;\n  background-color: var(--bs-popover-bg);\n  background-clip: padding-box;\n  border: var(--bs-popover-border-width) solid var(--bs-popover-border-color);\n  border-radius: var(--bs-popover-border-radius);\n}\n.popover .popover-arrow {\n  display: block;\n  width: var(--bs-popover-arrow-width);\n  height: var(--bs-popover-arrow-height);\n}\n.popover .popover-arrow::before, .popover .popover-arrow::after {\n  position: absolute;\n  display: block;\n  content: \"\";\n  border-color: transparent;\n  border-style: solid;\n  border-width: 0;\n}\n\n.bs-popover-top > .popover-arrow, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow {\n  bottom: calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));\n}\n.bs-popover-top > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow::before, .bs-popover-top > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow::after {\n  border-width: var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * 0.5) 0;\n}\n.bs-popover-top > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow::before {\n  bottom: 0;\n  border-top-color: var(--bs-popover-arrow-border);\n}\n.bs-popover-top > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow::after {\n  bottom: var(--bs-popover-border-width);\n  border-top-color: var(--bs-popover-bg);\n}\n\n/* rtl:begin:ignore */\n.bs-popover-end > .popover-arrow, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow {\n  left: calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));\n  width: var(--bs-popover-arrow-height);\n  height: var(--bs-popover-arrow-width);\n}\n.bs-popover-end > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow::before, .bs-popover-end > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow::after {\n  border-width: calc(var(--bs-popover-arrow-width) * 0.5) var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * 0.5) 0;\n}\n.bs-popover-end > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow::before {\n  left: 0;\n  border-right-color: var(--bs-popover-arrow-border);\n}\n.bs-popover-end > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow::after {\n  left: var(--bs-popover-border-width);\n  border-right-color: var(--bs-popover-bg);\n}\n\n/* rtl:end:ignore */\n.bs-popover-bottom > .popover-arrow, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow {\n  top: calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));\n}\n.bs-popover-bottom > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow::before, .bs-popover-bottom > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow::after {\n  border-width: 0 calc(var(--bs-popover-arrow-width) * 0.5) var(--bs-popover-arrow-height);\n}\n.bs-popover-bottom > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow::before {\n  top: 0;\n  border-bottom-color: var(--bs-popover-arrow-border);\n}\n.bs-popover-bottom > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow::after {\n  top: var(--bs-popover-border-width);\n  border-bottom-color: var(--bs-popover-bg);\n}\n.bs-popover-bottom .popover-header::before, .bs-popover-auto[data-popper-placement^=bottom] .popover-header::before {\n  position: absolute;\n  top: 0;\n  left: 50%;\n  display: block;\n  width: var(--bs-popover-arrow-width);\n  margin-left: calc(-0.5 * var(--bs-popover-arrow-width));\n  content: \"\";\n  border-bottom: var(--bs-popover-border-width) solid var(--bs-popover-header-bg);\n}\n\n/* rtl:begin:ignore */\n.bs-popover-start > .popover-arrow, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow {\n  right: calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));\n  width: var(--bs-popover-arrow-height);\n  height: var(--bs-popover-arrow-width);\n}\n.bs-popover-start > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow::before, .bs-popover-start > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow::after {\n  border-width: calc(var(--bs-popover-arrow-width) * 0.5) 0 calc(var(--bs-popover-arrow-width) * 0.5) var(--bs-popover-arrow-height);\n}\n.bs-popover-start > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow::before {\n  right: 0;\n  border-left-color: var(--bs-popover-arrow-border);\n}\n.bs-popover-start > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow::after {\n  right: var(--bs-popover-border-width);\n  border-left-color: var(--bs-popover-bg);\n}\n\n/* rtl:end:ignore */\n.popover-header {\n  padding: var(--bs-popover-header-padding-y) var(--bs-popover-header-padding-x);\n  margin-bottom: 0;\n  font-size: var(--bs-popover-header-font-size);\n  color: var(--bs-popover-header-color);\n  background-color: var(--bs-popover-header-bg);\n  border-bottom: var(--bs-popover-border-width) solid var(--bs-popover-border-color);\n  border-top-left-radius: var(--bs-popover-inner-border-radius);\n  border-top-right-radius: var(--bs-popover-inner-border-radius);\n}\n.popover-header:empty {\n  display: none;\n}\n\n.popover-body {\n  padding: var(--bs-popover-body-padding-y) var(--bs-popover-body-padding-x);\n  color: var(--bs-popover-body-color);\n}\n\n.carousel {\n  position: relative;\n}\n\n.carousel.pointer-event {\n  touch-action: pan-y;\n}\n\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n}\n.carousel-inner::after {\n  display: block;\n  clear: both;\n  content: \"\";\n}\n\n.carousel-item {\n  position: relative;\n  display: none;\n  float: left;\n  width: 100%;\n  margin-right: -100%;\n  backface-visibility: hidden;\n  transition: transform 0.6s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .carousel-item {\n    transition: none;\n  }\n}\n\n.carousel-item.active,\n.carousel-item-next,\n.carousel-item-prev {\n  display: block;\n}\n\n.carousel-item-next:not(.carousel-item-start),\n.active.carousel-item-end {\n  transform: translateX(100%);\n}\n\n.carousel-item-prev:not(.carousel-item-end),\n.active.carousel-item-start {\n  transform: translateX(-100%);\n}\n\n.carousel-fade .carousel-item {\n  opacity: 0;\n  transition-property: opacity;\n  transform: none;\n}\n.carousel-fade .carousel-item.active,\n.carousel-fade .carousel-item-next.carousel-item-start,\n.carousel-fade .carousel-item-prev.carousel-item-end {\n  z-index: 1;\n  opacity: 1;\n}\n.carousel-fade .active.carousel-item-start,\n.carousel-fade .active.carousel-item-end {\n  z-index: 0;\n  opacity: 0;\n  transition: opacity 0s 0.6s;\n}\n@media (prefers-reduced-motion: reduce) {\n  .carousel-fade .active.carousel-item-start,\n  .carousel-fade .active.carousel-item-end {\n    transition: none;\n  }\n}\n\n.carousel-control-prev,\n.carousel-control-next {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  z-index: 1;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  width: 15%;\n  padding: 0;\n  color: #fff;\n  text-align: center;\n  background: none;\n  border: 0;\n  opacity: 0.5;\n  transition: opacity 0.15s ease;\n}\n@media (prefers-reduced-motion: reduce) {\n  .carousel-control-prev,\n  .carousel-control-next {\n    transition: none;\n  }\n}\n.carousel-control-prev:hover, .carousel-control-prev:focus,\n.carousel-control-next:hover,\n.carousel-control-next:focus {\n  color: #fff;\n  text-decoration: none;\n  outline: 0;\n  opacity: 0.9;\n}\n\n.carousel-control-prev {\n  left: 0;\n}\n\n.carousel-control-next {\n  right: 0;\n}\n\n.carousel-control-prev-icon,\n.carousel-control-next-icon {\n  display: inline-block;\n  width: 2rem;\n  height: 2rem;\n  background-repeat: no-repeat;\n  background-position: 50%;\n  background-size: 100% 100%;\n}\n\n.carousel-control-prev-icon {\n  background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/%3e%3c/svg%3e\") /*rtl:url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\")*/;\n}\n\n.carousel-control-next-icon {\n  background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\") /*rtl:url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/%3e%3c/svg%3e\")*/;\n}\n\n.carousel-indicators {\n  position: absolute;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 2;\n  display: flex;\n  justify-content: center;\n  padding: 0;\n  margin-right: 15%;\n  margin-bottom: 1rem;\n  margin-left: 15%;\n}\n.carousel-indicators [data-bs-target] {\n  box-sizing: content-box;\n  flex: 0 1 auto;\n  width: 30px;\n  height: 3px;\n  padding: 0;\n  margin-right: 3px;\n  margin-left: 3px;\n  text-indent: -999px;\n  cursor: pointer;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 0;\n  border-top: 10px solid transparent;\n  border-bottom: 10px solid transparent;\n  opacity: 0.5;\n  transition: opacity 0.6s ease;\n}\n@media (prefers-reduced-motion: reduce) {\n  .carousel-indicators [data-bs-target] {\n    transition: none;\n  }\n}\n.carousel-indicators .active {\n  opacity: 1;\n}\n\n.carousel-caption {\n  position: absolute;\n  right: 15%;\n  bottom: 1.25rem;\n  left: 15%;\n  padding-top: 1.25rem;\n  padding-bottom: 1.25rem;\n  color: #fff;\n  text-align: center;\n}\n\n.carousel-dark .carousel-control-prev-icon,\n.carousel-dark .carousel-control-next-icon {\n  filter: invert(1) grayscale(100);\n}\n.carousel-dark .carousel-indicators [data-bs-target] {\n  background-color: #000;\n}\n.carousel-dark .carousel-caption {\n  color: #000;\n}\n\n[data-bs-theme=dark] .carousel .carousel-control-prev-icon,\n[data-bs-theme=dark] .carousel .carousel-control-next-icon, [data-bs-theme=dark].carousel .carousel-control-prev-icon,\n[data-bs-theme=dark].carousel .carousel-control-next-icon {\n  filter: invert(1) grayscale(100);\n}\n[data-bs-theme=dark] .carousel .carousel-indicators [data-bs-target], [data-bs-theme=dark].carousel .carousel-indicators [data-bs-target] {\n  background-color: #000;\n}\n[data-bs-theme=dark] .carousel .carousel-caption, [data-bs-theme=dark].carousel .carousel-caption {\n  color: #000;\n}\n\n.spinner-grow,\n.spinner-border {\n  display: inline-block;\n  width: var(--bs-spinner-width);\n  height: var(--bs-spinner-height);\n  vertical-align: var(--bs-spinner-vertical-align);\n  border-radius: 50%;\n  animation: var(--bs-spinner-animation-speed) linear infinite var(--bs-spinner-animation-name);\n}\n\n@keyframes spinner-border {\n  to {\n    transform: rotate(360deg) /* rtl:ignore */;\n  }\n}\n.spinner-border {\n  --bs-spinner-width: 2rem;\n  --bs-spinner-height: 2rem;\n  --bs-spinner-vertical-align: -0.125em;\n  --bs-spinner-border-width: 0.25em;\n  --bs-spinner-animation-speed: 0.75s;\n  --bs-spinner-animation-name: spinner-border;\n  border: var(--bs-spinner-border-width) solid currentcolor;\n  border-right-color: transparent;\n}\n\n.spinner-border-sm {\n  --bs-spinner-width: 1rem;\n  --bs-spinner-height: 1rem;\n  --bs-spinner-border-width: 0.2em;\n}\n\n@keyframes spinner-grow {\n  0% {\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    transform: none;\n  }\n}\n.spinner-grow {\n  --bs-spinner-width: 2rem;\n  --bs-spinner-height: 2rem;\n  --bs-spinner-vertical-align: -0.125em;\n  --bs-spinner-animation-speed: 0.75s;\n  --bs-spinner-animation-name: spinner-grow;\n  background-color: currentcolor;\n  opacity: 0;\n}\n\n.spinner-grow-sm {\n  --bs-spinner-width: 1rem;\n  --bs-spinner-height: 1rem;\n}\n\n@media (prefers-reduced-motion: reduce) {\n  .spinner-border,\n  .spinner-grow {\n    --bs-spinner-animation-speed: 1.5s;\n  }\n}\n.offcanvas, .offcanvas-xl, .offcanvas-lg, .offcanvas-md, .offcanvas-sm {\n  --bs-offcanvas-zindex: 1045;\n  --bs-offcanvas-width: 400px;\n  --bs-offcanvas-height: 30vh;\n  --bs-offcanvas-padding-x: 1rem;\n  --bs-offcanvas-padding-y: 1rem;\n  --bs-offcanvas-color: var(--bs-body-color);\n  --bs-offcanvas-bg: var(--bs-body-bg);\n  --bs-offcanvas-border-width: var(--bs-border-width);\n  --bs-offcanvas-border-color: var(--bs-border-color-translucent);\n  --bs-offcanvas-box-shadow: var(--bs-box-shadow-sm);\n  --bs-offcanvas-transition: transform 0.3s ease-in-out;\n  --bs-offcanvas-title-line-height: 1.5;\n}\n\n@media (max-width: 539.98px) {\n  .offcanvas-sm {\n    position: fixed;\n    bottom: 0;\n    z-index: var(--bs-offcanvas-zindex);\n    display: flex;\n    flex-direction: column;\n    max-width: 100%;\n    color: var(--bs-offcanvas-color);\n    visibility: hidden;\n    background-color: var(--bs-offcanvas-bg);\n    background-clip: padding-box;\n    outline: 0;\n    transition: var(--bs-offcanvas-transition);\n  }\n}\n@media (max-width: 539.98px) and (prefers-reduced-motion: reduce) {\n  .offcanvas-sm {\n    transition: none;\n  }\n}\n@media (max-width: 539.98px) {\n  .offcanvas-sm.offcanvas-start {\n    top: 0;\n    left: 0;\n    width: var(--bs-offcanvas-width);\n    border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(-100%);\n  }\n  .offcanvas-sm.offcanvas-end {\n    top: 0;\n    right: 0;\n    width: var(--bs-offcanvas-width);\n    border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(100%);\n  }\n  .offcanvas-sm.offcanvas-top {\n    top: 0;\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(-100%);\n  }\n  .offcanvas-sm.offcanvas-bottom {\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-sm.showing, .offcanvas-sm.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-sm.showing, .offcanvas-sm.hiding, .offcanvas-sm.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 540px) {\n  .offcanvas-sm {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent !important;\n  }\n  .offcanvas-sm .offcanvas-header {\n    display: none;\n  }\n  .offcanvas-sm .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n    background-color: transparent !important;\n  }\n}\n\n@media (max-width: 719.98px) {\n  .offcanvas-md {\n    position: fixed;\n    bottom: 0;\n    z-index: var(--bs-offcanvas-zindex);\n    display: flex;\n    flex-direction: column;\n    max-width: 100%;\n    color: var(--bs-offcanvas-color);\n    visibility: hidden;\n    background-color: var(--bs-offcanvas-bg);\n    background-clip: padding-box;\n    outline: 0;\n    transition: var(--bs-offcanvas-transition);\n  }\n}\n@media (max-width: 719.98px) and (prefers-reduced-motion: reduce) {\n  .offcanvas-md {\n    transition: none;\n  }\n}\n@media (max-width: 719.98px) {\n  .offcanvas-md.offcanvas-start {\n    top: 0;\n    left: 0;\n    width: var(--bs-offcanvas-width);\n    border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(-100%);\n  }\n  .offcanvas-md.offcanvas-end {\n    top: 0;\n    right: 0;\n    width: var(--bs-offcanvas-width);\n    border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(100%);\n  }\n  .offcanvas-md.offcanvas-top {\n    top: 0;\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(-100%);\n  }\n  .offcanvas-md.offcanvas-bottom {\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-md.showing, .offcanvas-md.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-md.showing, .offcanvas-md.hiding, .offcanvas-md.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 720px) {\n  .offcanvas-md {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent !important;\n  }\n  .offcanvas-md .offcanvas-header {\n    display: none;\n  }\n  .offcanvas-md .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n    background-color: transparent !important;\n  }\n}\n\n@media (max-width: 959.98px) {\n  .offcanvas-lg {\n    position: fixed;\n    bottom: 0;\n    z-index: var(--bs-offcanvas-zindex);\n    display: flex;\n    flex-direction: column;\n    max-width: 100%;\n    color: var(--bs-offcanvas-color);\n    visibility: hidden;\n    background-color: var(--bs-offcanvas-bg);\n    background-clip: padding-box;\n    outline: 0;\n    transition: var(--bs-offcanvas-transition);\n  }\n}\n@media (max-width: 959.98px) and (prefers-reduced-motion: reduce) {\n  .offcanvas-lg {\n    transition: none;\n  }\n}\n@media (max-width: 959.98px) {\n  .offcanvas-lg.offcanvas-start {\n    top: 0;\n    left: 0;\n    width: var(--bs-offcanvas-width);\n    border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(-100%);\n  }\n  .offcanvas-lg.offcanvas-end {\n    top: 0;\n    right: 0;\n    width: var(--bs-offcanvas-width);\n    border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(100%);\n  }\n  .offcanvas-lg.offcanvas-top {\n    top: 0;\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(-100%);\n  }\n  .offcanvas-lg.offcanvas-bottom {\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-lg.showing, .offcanvas-lg.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-lg.showing, .offcanvas-lg.hiding, .offcanvas-lg.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 960px) {\n  .offcanvas-lg {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent !important;\n  }\n  .offcanvas-lg .offcanvas-header {\n    display: none;\n  }\n  .offcanvas-lg .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n    background-color: transparent !important;\n  }\n}\n\n@media (max-width: 1199.98px) {\n  .offcanvas-xl {\n    position: fixed;\n    bottom: 0;\n    z-index: var(--bs-offcanvas-zindex);\n    display: flex;\n    flex-direction: column;\n    max-width: 100%;\n    color: var(--bs-offcanvas-color);\n    visibility: hidden;\n    background-color: var(--bs-offcanvas-bg);\n    background-clip: padding-box;\n    outline: 0;\n    transition: var(--bs-offcanvas-transition);\n  }\n}\n@media (max-width: 1199.98px) and (prefers-reduced-motion: reduce) {\n  .offcanvas-xl {\n    transition: none;\n  }\n}\n@media (max-width: 1199.98px) {\n  .offcanvas-xl.offcanvas-start {\n    top: 0;\n    left: 0;\n    width: var(--bs-offcanvas-width);\n    border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(-100%);\n  }\n  .offcanvas-xl.offcanvas-end {\n    top: 0;\n    right: 0;\n    width: var(--bs-offcanvas-width);\n    border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(100%);\n  }\n  .offcanvas-xl.offcanvas-top {\n    top: 0;\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(-100%);\n  }\n  .offcanvas-xl.offcanvas-bottom {\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-xl.showing, .offcanvas-xl.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-xl.showing, .offcanvas-xl.hiding, .offcanvas-xl.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 1200px) {\n  .offcanvas-xl {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent !important;\n  }\n  .offcanvas-xl .offcanvas-header {\n    display: none;\n  }\n  .offcanvas-xl .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n    background-color: transparent !important;\n  }\n}\n\n.offcanvas {\n  position: fixed;\n  bottom: 0;\n  z-index: var(--bs-offcanvas-zindex);\n  display: flex;\n  flex-direction: column;\n  max-width: 100%;\n  color: var(--bs-offcanvas-color);\n  visibility: hidden;\n  background-color: var(--bs-offcanvas-bg);\n  background-clip: padding-box;\n  outline: 0;\n  transition: var(--bs-offcanvas-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .offcanvas {\n    transition: none;\n  }\n}\n.offcanvas.offcanvas-start {\n  top: 0;\n  left: 0;\n  width: var(--bs-offcanvas-width);\n  border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n  transform: translateX(-100%);\n}\n.offcanvas.offcanvas-end {\n  top: 0;\n  right: 0;\n  width: var(--bs-offcanvas-width);\n  border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n  transform: translateX(100%);\n}\n.offcanvas.offcanvas-top {\n  top: 0;\n  right: 0;\n  left: 0;\n  height: var(--bs-offcanvas-height);\n  max-height: 100%;\n  border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n  transform: translateY(-100%);\n}\n.offcanvas.offcanvas-bottom {\n  right: 0;\n  left: 0;\n  height: var(--bs-offcanvas-height);\n  max-height: 100%;\n  border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n  transform: translateY(100%);\n}\n.offcanvas.showing, .offcanvas.show:not(.hiding) {\n  transform: none;\n}\n.offcanvas.showing, .offcanvas.hiding, .offcanvas.show {\n  visibility: visible;\n}\n\n.offcanvas-backdrop {\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: 1040;\n  width: 100vw;\n  height: 100vh;\n  background-color: #000;\n}\n.offcanvas-backdrop.fade {\n  opacity: 0;\n}\n.offcanvas-backdrop.show {\n  opacity: 0.5;\n}\n\n.offcanvas-header {\n  display: flex;\n  align-items: center;\n  padding: var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x);\n}\n.offcanvas-header .btn-close {\n  padding: calc(var(--bs-offcanvas-padding-y) * 0.5) calc(var(--bs-offcanvas-padding-x) * 0.5);\n  margin: calc(-0.5 * var(--bs-offcanvas-padding-y)) calc(-0.5 * var(--bs-offcanvas-padding-x)) calc(-0.5 * var(--bs-offcanvas-padding-y)) auto;\n}\n\n.offcanvas-title {\n  margin-bottom: 0;\n  line-height: var(--bs-offcanvas-title-line-height);\n}\n\n.offcanvas-body {\n  flex-grow: 1;\n  padding: var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x);\n  overflow-y: auto;\n}\n\n.placeholder {\n  display: inline-block;\n  min-height: 1em;\n  vertical-align: middle;\n  cursor: wait;\n  background-color: currentcolor;\n  opacity: 0.5;\n}\n.placeholder.btn::before {\n  display: inline-block;\n  content: \"\";\n}\n\n.placeholder-xs {\n  min-height: 0.6em;\n}\n\n.placeholder-sm {\n  min-height: 0.8em;\n}\n\n.placeholder-lg {\n  min-height: 1.2em;\n}\n\n.placeholder-glow .placeholder {\n  animation: placeholder-glow 2s ease-in-out infinite;\n}\n\n@keyframes placeholder-glow {\n  50% {\n    opacity: 0.2;\n  }\n}\n.placeholder-wave {\n  mask-image: linear-gradient(130deg, #000 55%, rgba(0, 0, 0, 0.8) 75%, #000 95%);\n  mask-size: 200% 100%;\n  animation: placeholder-wave 2s linear infinite;\n}\n\n@keyframes placeholder-wave {\n  100% {\n    mask-position: -200% 0%;\n  }\n}\n.clearfix::after {\n  display: block;\n  clear: both;\n  content: \"\";\n}\n\n.text-bg-primary {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-primary-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-secondary {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-secondary-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-success {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-success-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-info {\n  color: #000 !important;\n  background-color: RGBA(var(--bs-info-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-warning {\n  color: #000 !important;\n  background-color: RGBA(var(--bs-warning-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-danger {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-danger-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-light {\n  color: #000 !important;\n  background-color: RGBA(var(--bs-light-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-dark {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-dark-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.link-primary {\n  color: RGBA(var(--bs-primary-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-primary-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-primary:hover, .link-primary:focus {\n  color: RGBA(10, 88, 202, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(10, 88, 202, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-secondary {\n  color: RGBA(var(--bs-secondary-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-secondary-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-secondary:hover, .link-secondary:focus {\n  color: RGBA(86, 94, 100, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(86, 94, 100, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-success {\n  color: RGBA(var(--bs-success-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-success-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-success:hover, .link-success:focus {\n  color: RGBA(20, 108, 67, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(20, 108, 67, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-info {\n  color: RGBA(var(--bs-info-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-info-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-info:hover, .link-info:focus {\n  color: RGBA(61, 213, 243, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(61, 213, 243, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-warning {\n  color: RGBA(var(--bs-warning-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-warning-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-warning:hover, .link-warning:focus {\n  color: RGBA(255, 205, 57, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(255, 205, 57, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-danger {\n  color: RGBA(var(--bs-danger-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-danger-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-danger:hover, .link-danger:focus {\n  color: RGBA(176, 42, 55, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(176, 42, 55, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-light {\n  color: RGBA(var(--bs-light-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-light-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-light:hover, .link-light:focus {\n  color: RGBA(249, 250, 251, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(249, 250, 251, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-dark {\n  color: RGBA(var(--bs-dark-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-dark-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-dark:hover, .link-dark:focus {\n  color: RGBA(26, 30, 33, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(26, 30, 33, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-body-emphasis {\n  color: RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-body-emphasis:hover, .link-body-emphasis:focus {\n  color: RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 0.75)) !important;\n  text-decoration-color: RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 0.75)) !important;\n}\n\n.focus-ring:focus {\n  outline: 0;\n  box-shadow: var(--bs-focus-ring-x, 0) var(--bs-focus-ring-y, 0) var(--bs-focus-ring-blur, 0) var(--bs-focus-ring-width) var(--bs-focus-ring-color);\n}\n\n.icon-link {\n  display: inline-flex;\n  gap: 0.375rem;\n  align-items: center;\n  text-decoration-color: rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 0.5));\n  text-underline-offset: 0.25em;\n  backface-visibility: hidden;\n}\n.icon-link > .bi {\n  flex-shrink: 0;\n  width: 1em;\n  height: 1em;\n  fill: currentcolor;\n  transition: 0.2s ease-in-out transform;\n}\n@media (prefers-reduced-motion: reduce) {\n  .icon-link > .bi {\n    transition: none;\n  }\n}\n\n.icon-link-hover:hover > .bi, .icon-link-hover:focus-visible > .bi {\n  transform: var(--bs-icon-link-transform, translate3d(0.25em, 0, 0));\n}\n\n.ratio {\n  position: relative;\n  width: 100%;\n}\n.ratio::before {\n  display: block;\n  padding-top: var(--bs-aspect-ratio);\n  content: \"\";\n}\n.ratio > * {\n  position: absolute;\n  top: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n}\n\n.ratio-1x1 {\n  --bs-aspect-ratio: 100%;\n}\n\n.ratio-4x3 {\n  --bs-aspect-ratio: 75%;\n}\n\n.ratio-16x9 {\n  --bs-aspect-ratio: 56.25%;\n}\n\n.ratio-21x9 {\n  --bs-aspect-ratio: 42.8571428571%;\n}\n\n.fixed-top {\n  position: fixed;\n  top: 0;\n  right: 0;\n  left: 0;\n  z-index: 1030;\n}\n\n.fixed-bottom {\n  position: fixed;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1030;\n}\n\n.sticky-top {\n  position: sticky;\n  top: 0;\n  z-index: 1020;\n}\n\n.sticky-bottom {\n  position: sticky;\n  bottom: 0;\n  z-index: 1020;\n}\n\n@media (min-width: 540px) {\n  .sticky-sm-top {\n    position: sticky;\n    top: 0;\n    z-index: 1020;\n  }\n  .sticky-sm-bottom {\n    position: sticky;\n    bottom: 0;\n    z-index: 1020;\n  }\n}\n@media (min-width: 720px) {\n  .sticky-md-top {\n    position: sticky;\n    top: 0;\n    z-index: 1020;\n  }\n  .sticky-md-bottom {\n    position: sticky;\n    bottom: 0;\n    z-index: 1020;\n  }\n}\n@media (min-width: 960px) {\n  .sticky-lg-top {\n    position: sticky;\n    top: 0;\n    z-index: 1020;\n  }\n  .sticky-lg-bottom {\n    position: sticky;\n    bottom: 0;\n    z-index: 1020;\n  }\n}\n@media (min-width: 1200px) {\n  .sticky-xl-top {\n    position: sticky;\n    top: 0;\n    z-index: 1020;\n  }\n  .sticky-xl-bottom {\n    position: sticky;\n    bottom: 0;\n    z-index: 1020;\n  }\n}\n.hstack {\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n  align-self: stretch;\n}\n\n.vstack {\n  display: flex;\n  flex: 1 1 auto;\n  flex-direction: column;\n  align-self: stretch;\n}\n\n.visually-hidden,\n.visually-hidden-focusable:not(:focus):not(:focus-within) {\n  width: 1px !important;\n  height: 1px !important;\n  padding: 0 !important;\n  margin: -1px !important;\n  overflow: hidden !important;\n  clip: rect(0, 0, 0, 0) !important;\n  white-space: nowrap !important;\n  border: 0 !important;\n}\n.visually-hidden:not(caption),\n.visually-hidden-focusable:not(:focus):not(:focus-within):not(caption) {\n  position: absolute !important;\n}\n\n.stretched-link::after {\n  position: absolute;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1;\n  content: \"\";\n}\n\n.text-truncate {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n\n.vr {\n  display: inline-block;\n  align-self: stretch;\n  width: var(--bs-border-width);\n  min-height: 1em;\n  background-color: currentcolor;\n  opacity: 0.25;\n}\n\n.align-baseline {\n  vertical-align: baseline !important;\n}\n\n.align-top {\n  vertical-align: top !important;\n}\n\n.align-middle {\n  vertical-align: middle !important;\n}\n\n.align-bottom {\n  vertical-align: bottom !important;\n}\n\n.align-text-bottom {\n  vertical-align: text-bottom !important;\n}\n\n.align-text-top {\n  vertical-align: text-top !important;\n}\n\n.float-start {\n  float: left !important;\n}\n\n.float-end {\n  float: right !important;\n}\n\n.float-none {\n  float: none !important;\n}\n\n.object-fit-contain {\n  object-fit: contain !important;\n}\n\n.object-fit-cover {\n  object-fit: cover !important;\n}\n\n.object-fit-fill {\n  object-fit: fill !important;\n}\n\n.object-fit-scale {\n  object-fit: scale-down !important;\n}\n\n.object-fit-none {\n  object-fit: none !important;\n}\n\n.opacity-0 {\n  opacity: 0 !important;\n}\n\n.opacity-25 {\n  opacity: 0.25 !important;\n}\n\n.opacity-50 {\n  opacity: 0.5 !important;\n}\n\n.opacity-75 {\n  opacity: 0.75 !important;\n}\n\n.opacity-100 {\n  opacity: 1 !important;\n}\n\n.overflow-auto {\n  overflow: auto !important;\n}\n\n.overflow-hidden {\n  overflow: hidden !important;\n}\n\n.overflow-visible {\n  overflow: visible !important;\n}\n\n.overflow-scroll {\n  overflow: scroll !important;\n}\n\n.overflow-x-auto {\n  overflow-x: auto !important;\n}\n\n.overflow-x-hidden {\n  overflow-x: hidden !important;\n}\n\n.overflow-x-visible {\n  overflow-x: visible !important;\n}\n\n.overflow-x-scroll {\n  overflow-x: scroll !important;\n}\n\n.overflow-y-auto {\n  overflow-y: auto !important;\n}\n\n.overflow-y-hidden {\n  overflow-y: hidden !important;\n}\n\n.overflow-y-visible {\n  overflow-y: visible !important;\n}\n\n.overflow-y-scroll {\n  overflow-y: scroll !important;\n}\n\n.d-inline {\n  display: inline !important;\n}\n\n.d-inline-block {\n  display: inline-block !important;\n}\n\n.d-block {\n  display: block !important;\n}\n\n.d-grid {\n  display: grid !important;\n}\n\n.d-inline-grid {\n  display: inline-grid !important;\n}\n\n.d-table {\n  display: table !important;\n}\n\n.d-table-row {\n  display: table-row !important;\n}\n\n.d-table-cell {\n  display: table-cell !important;\n}\n\n.d-flex {\n  display: flex !important;\n}\n\n.d-inline-flex {\n  display: inline-flex !important;\n}\n\n.d-none {\n  display: none !important;\n}\n\n.shadow {\n  box-shadow: var(--bs-box-shadow) !important;\n}\n\n.shadow-sm {\n  box-shadow: var(--bs-box-shadow-sm) !important;\n}\n\n.shadow-lg {\n  box-shadow: var(--bs-box-shadow-lg) !important;\n}\n\n.shadow-none {\n  box-shadow: none !important;\n}\n\n.focus-ring-primary {\n  --bs-focus-ring-color: rgba(var(--bs-primary-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-secondary {\n  --bs-focus-ring-color: rgba(var(--bs-secondary-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-success {\n  --bs-focus-ring-color: rgba(var(--bs-success-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-info {\n  --bs-focus-ring-color: rgba(var(--bs-info-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-warning {\n  --bs-focus-ring-color: rgba(var(--bs-warning-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-danger {\n  --bs-focus-ring-color: rgba(var(--bs-danger-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-light {\n  --bs-focus-ring-color: rgba(var(--bs-light-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-dark {\n  --bs-focus-ring-color: rgba(var(--bs-dark-rgb), var(--bs-focus-ring-opacity));\n}\n\n.position-static {\n  position: static !important;\n}\n\n.position-relative {\n  position: relative !important;\n}\n\n.position-absolute {\n  position: absolute !important;\n}\n\n.position-fixed {\n  position: fixed !important;\n}\n\n.position-sticky {\n  position: sticky !important;\n}\n\n.top-0 {\n  top: 0 !important;\n}\n\n.top-50 {\n  top: 50% !important;\n}\n\n.top-100 {\n  top: 100% !important;\n}\n\n.bottom-0 {\n  bottom: 0 !important;\n}\n\n.bottom-50 {\n  bottom: 50% !important;\n}\n\n.bottom-100 {\n  bottom: 100% !important;\n}\n\n.start-0 {\n  left: 0 !important;\n}\n\n.start-50 {\n  left: 50% !important;\n}\n\n.start-100 {\n  left: 100% !important;\n}\n\n.end-0 {\n  right: 0 !important;\n}\n\n.end-50 {\n  right: 50% !important;\n}\n\n.end-100 {\n  right: 100% !important;\n}\n\n.translate-middle {\n  transform: translate(-50%, -50%) !important;\n}\n\n.translate-middle-x {\n  transform: translateX(-50%) !important;\n}\n\n.translate-middle-y {\n  transform: translateY(-50%) !important;\n}\n\n.border {\n  border: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-0 {\n  border: 0 !important;\n}\n\n.border-top {\n  border-top: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-top-0 {\n  border-top: 0 !important;\n}\n\n.border-end {\n  border-right: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-end-0 {\n  border-right: 0 !important;\n}\n\n.border-bottom {\n  border-bottom: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-bottom-0 {\n  border-bottom: 0 !important;\n}\n\n.border-start {\n  border-left: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-start-0 {\n  border-left: 0 !important;\n}\n\n.border-primary {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-primary-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-secondary {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-secondary-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-success {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-success-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-info {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-info-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-warning {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-warning-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-danger {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-danger-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-light {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-light-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-dark {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-dark-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-black {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-black-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-white {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-white-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-primary-subtle {\n  border-color: var(--bs-primary-border-subtle) !important;\n}\n\n.border-secondary-subtle {\n  border-color: var(--bs-secondary-border-subtle) !important;\n}\n\n.border-success-subtle {\n  border-color: var(--bs-success-border-subtle) !important;\n}\n\n.border-info-subtle {\n  border-color: var(--bs-info-border-subtle) !important;\n}\n\n.border-warning-subtle {\n  border-color: var(--bs-warning-border-subtle) !important;\n}\n\n.border-danger-subtle {\n  border-color: var(--bs-danger-border-subtle) !important;\n}\n\n.border-light-subtle {\n  border-color: var(--bs-light-border-subtle) !important;\n}\n\n.border-dark-subtle {\n  border-color: var(--bs-dark-border-subtle) !important;\n}\n\n.border-1 {\n  border-width: 1px !important;\n}\n\n.border-2 {\n  border-width: 2px !important;\n}\n\n.border-3 {\n  border-width: 3px !important;\n}\n\n.border-4 {\n  border-width: 4px !important;\n}\n\n.border-5 {\n  border-width: 5px !important;\n}\n\n.border-opacity-10 {\n  --bs-border-opacity: 0.1;\n}\n\n.border-opacity-25 {\n  --bs-border-opacity: 0.25;\n}\n\n.border-opacity-50 {\n  --bs-border-opacity: 0.5;\n}\n\n.border-opacity-75 {\n  --bs-border-opacity: 0.75;\n}\n\n.border-opacity-100 {\n  --bs-border-opacity: 1;\n}\n\n.w-25 {\n  width: 25% !important;\n}\n\n.w-50 {\n  width: 50% !important;\n}\n\n.w-75 {\n  width: 75% !important;\n}\n\n.w-100 {\n  width: 100% !important;\n}\n\n.w-auto {\n  width: auto !important;\n}\n\n.mw-100 {\n  max-width: 100% !important;\n}\n\n.vw-100 {\n  width: 100vw !important;\n}\n\n.min-vw-100 {\n  min-width: 100vw !important;\n}\n\n.h-25 {\n  height: 25% !important;\n}\n\n.h-50 {\n  height: 50% !important;\n}\n\n.h-75 {\n  height: 75% !important;\n}\n\n.h-100 {\n  height: 100% !important;\n}\n\n.h-auto {\n  height: auto !important;\n}\n\n.mh-100 {\n  max-height: 100% !important;\n}\n\n.vh-100 {\n  height: 100vh !important;\n}\n\n.min-vh-100 {\n  min-height: 100vh !important;\n}\n\n.flex-fill {\n  flex: 1 1 auto !important;\n}\n\n.flex-row {\n  flex-direction: row !important;\n}\n\n.flex-column {\n  flex-direction: column !important;\n}\n\n.flex-row-reverse {\n  flex-direction: row-reverse !important;\n}\n\n.flex-column-reverse {\n  flex-direction: column-reverse !important;\n}\n\n.flex-grow-0 {\n  flex-grow: 0 !important;\n}\n\n.flex-grow-1 {\n  flex-grow: 1 !important;\n}\n\n.flex-shrink-0 {\n  flex-shrink: 0 !important;\n}\n\n.flex-shrink-1 {\n  flex-shrink: 1 !important;\n}\n\n.flex-wrap {\n  flex-wrap: wrap !important;\n}\n\n.flex-nowrap {\n  flex-wrap: nowrap !important;\n}\n\n.flex-wrap-reverse {\n  flex-wrap: wrap-reverse !important;\n}\n\n.justify-content-start {\n  justify-content: flex-start !important;\n}\n\n.justify-content-end {\n  justify-content: flex-end !important;\n}\n\n.justify-content-center {\n  justify-content: center !important;\n}\n\n.justify-content-between {\n  justify-content: space-between !important;\n}\n\n.justify-content-around {\n  justify-content: space-around !important;\n}\n\n.justify-content-evenly {\n  justify-content: space-evenly !important;\n}\n\n.align-items-start {\n  align-items: flex-start !important;\n}\n\n.align-items-end {\n  align-items: flex-end !important;\n}\n\n.align-items-center {\n  align-items: center !important;\n}\n\n.align-items-baseline {\n  align-items: baseline !important;\n}\n\n.align-items-stretch {\n  align-items: stretch !important;\n}\n\n.align-content-start {\n  align-content: flex-start !important;\n}\n\n.align-content-end {\n  align-content: flex-end !important;\n}\n\n.align-content-center {\n  align-content: center !important;\n}\n\n.align-content-between {\n  align-content: space-between !important;\n}\n\n.align-content-around {\n  align-content: space-around !important;\n}\n\n.align-content-stretch {\n  align-content: stretch !important;\n}\n\n.align-self-auto {\n  align-self: auto !important;\n}\n\n.align-self-start {\n  align-self: flex-start !important;\n}\n\n.align-self-end {\n  align-self: flex-end !important;\n}\n\n.align-self-center {\n  align-self: center !important;\n}\n\n.align-self-baseline {\n  align-self: baseline !important;\n}\n\n.align-self-stretch {\n  align-self: stretch !important;\n}\n\n.order-first {\n  order: -1 !important;\n}\n\n.order-0 {\n  order: 0 !important;\n}\n\n.order-1 {\n  order: 1 !important;\n}\n\n.order-2 {\n  order: 2 !important;\n}\n\n.order-3 {\n  order: 3 !important;\n}\n\n.order-4 {\n  order: 4 !important;\n}\n\n.order-5 {\n  order: 5 !important;\n}\n\n.order-last {\n  order: 6 !important;\n}\n\n.m-0 {\n  margin: 0 !important;\n}\n\n.m-1 {\n  margin: 0.25rem !important;\n}\n\n.m-2 {\n  margin: 0.5rem !important;\n}\n\n.m-3 {\n  margin: 1rem !important;\n}\n\n.m-4 {\n  margin: 1.5rem !important;\n}\n\n.m-5 {\n  margin: 3rem !important;\n}\n\n.m-auto {\n  margin: auto !important;\n}\n\n.mx-0 {\n  margin-right: 0 !important;\n  margin-left: 0 !important;\n}\n\n.mx-1 {\n  margin-right: 0.25rem !important;\n  margin-left: 0.25rem !important;\n}\n\n.mx-2 {\n  margin-right: 0.5rem !important;\n  margin-left: 0.5rem !important;\n}\n\n.mx-3 {\n  margin-right: 1rem !important;\n  margin-left: 1rem !important;\n}\n\n.mx-4 {\n  margin-right: 1.5rem !important;\n  margin-left: 1.5rem !important;\n}\n\n.mx-5 {\n  margin-right: 3rem !important;\n  margin-left: 3rem !important;\n}\n\n.mx-auto {\n  margin-right: auto !important;\n  margin-left: auto !important;\n}\n\n.my-0 {\n  margin-top: 0 !important;\n  margin-bottom: 0 !important;\n}\n\n.my-1 {\n  margin-top: 0.25rem !important;\n  margin-bottom: 0.25rem !important;\n}\n\n.my-2 {\n  margin-top: 0.5rem !important;\n  margin-bottom: 0.5rem !important;\n}\n\n.my-3 {\n  margin-top: 1rem !important;\n  margin-bottom: 1rem !important;\n}\n\n.my-4 {\n  margin-top: 1.5rem !important;\n  margin-bottom: 1.5rem !important;\n}\n\n.my-5 {\n  margin-top: 3rem !important;\n  margin-bottom: 3rem !important;\n}\n\n.my-auto {\n  margin-top: auto !important;\n  margin-bottom: auto !important;\n}\n\n.mt-0 {\n  margin-top: 0 !important;\n}\n\n.mt-1 {\n  margin-top: 0.25rem !important;\n}\n\n.mt-2 {\n  margin-top: 0.5rem !important;\n}\n\n.mt-3 {\n  margin-top: 1rem !important;\n}\n\n.mt-4 {\n  margin-top: 1.5rem !important;\n}\n\n.mt-5 {\n  margin-top: 3rem !important;\n}\n\n.mt-auto {\n  margin-top: auto !important;\n}\n\n.me-0 {\n  margin-right: 0 !important;\n}\n\n.me-1 {\n  margin-right: 0.25rem !important;\n}\n\n.me-2 {\n  margin-right: 0.5rem !important;\n}\n\n.me-3 {\n  margin-right: 1rem !important;\n}\n\n.me-4 {\n  margin-right: 1.5rem !important;\n}\n\n.me-5 {\n  margin-right: 3rem !important;\n}\n\n.me-auto {\n  margin-right: auto !important;\n}\n\n.mb-0 {\n  margin-bottom: 0 !important;\n}\n\n.mb-1 {\n  margin-bottom: 0.25rem !important;\n}\n\n.mb-2 {\n  margin-bottom: 0.5rem !important;\n}\n\n.mb-3 {\n  margin-bottom: 1rem !important;\n}\n\n.mb-4 {\n  margin-bottom: 1.5rem !important;\n}\n\n.mb-5 {\n  margin-bottom: 3rem !important;\n}\n\n.mb-auto {\n  margin-bottom: auto !important;\n}\n\n.ms-0 {\n  margin-left: 0 !important;\n}\n\n.ms-1 {\n  margin-left: 0.25rem !important;\n}\n\n.ms-2 {\n  margin-left: 0.5rem !important;\n}\n\n.ms-3 {\n  margin-left: 1rem !important;\n}\n\n.ms-4 {\n  margin-left: 1.5rem !important;\n}\n\n.ms-5 {\n  margin-left: 3rem !important;\n}\n\n.ms-auto {\n  margin-left: auto !important;\n}\n\n.p-0 {\n  padding: 0 !important;\n}\n\n.p-1 {\n  padding: 0.25rem !important;\n}\n\n.p-2 {\n  padding: 0.5rem !important;\n}\n\n.p-3 {\n  padding: 1rem !important;\n}\n\n.p-4 {\n  padding: 1.5rem !important;\n}\n\n.p-5 {\n  padding: 3rem !important;\n}\n\n.px-0 {\n  padding-right: 0 !important;\n  padding-left: 0 !important;\n}\n\n.px-1 {\n  padding-right: 0.25rem !important;\n  padding-left: 0.25rem !important;\n}\n\n.px-2 {\n  padding-right: 0.5rem !important;\n  padding-left: 0.5rem !important;\n}\n\n.px-3 {\n  padding-right: 1rem !important;\n  padding-left: 1rem !important;\n}\n\n.px-4 {\n  padding-right: 1.5rem !important;\n  padding-left: 1.5rem !important;\n}\n\n.px-5 {\n  padding-right: 3rem !important;\n  padding-left: 3rem !important;\n}\n\n.py-0 {\n  padding-top: 0 !important;\n  padding-bottom: 0 !important;\n}\n\n.py-1 {\n  padding-top: 0.25rem !important;\n  padding-bottom: 0.25rem !important;\n}\n\n.py-2 {\n  padding-top: 0.5rem !important;\n  padding-bottom: 0.5rem !important;\n}\n\n.py-3 {\n  padding-top: 1rem !important;\n  padding-bottom: 1rem !important;\n}\n\n.py-4 {\n  padding-top: 1.5rem !important;\n  padding-bottom: 1.5rem !important;\n}\n\n.py-5 {\n  padding-top: 3rem !important;\n  padding-bottom: 3rem !important;\n}\n\n.pt-0 {\n  padding-top: 0 !important;\n}\n\n.pt-1 {\n  padding-top: 0.25rem !important;\n}\n\n.pt-2 {\n  padding-top: 0.5rem !important;\n}\n\n.pt-3 {\n  padding-top: 1rem !important;\n}\n\n.pt-4 {\n  padding-top: 1.5rem !important;\n}\n\n.pt-5 {\n  padding-top: 3rem !important;\n}\n\n.pe-0 {\n  padding-right: 0 !important;\n}\n\n.pe-1 {\n  padding-right: 0.25rem !important;\n}\n\n.pe-2 {\n  padding-right: 0.5rem !important;\n}\n\n.pe-3 {\n  padding-right: 1rem !important;\n}\n\n.pe-4 {\n  padding-right: 1.5rem !important;\n}\n\n.pe-5 {\n  padding-right: 3rem !important;\n}\n\n.pb-0 {\n  padding-bottom: 0 !important;\n}\n\n.pb-1 {\n  padding-bottom: 0.25rem !important;\n}\n\n.pb-2 {\n  padding-bottom: 0.5rem !important;\n}\n\n.pb-3 {\n  padding-bottom: 1rem !important;\n}\n\n.pb-4 {\n  padding-bottom: 1.5rem !important;\n}\n\n.pb-5 {\n  padding-bottom: 3rem !important;\n}\n\n.ps-0 {\n  padding-left: 0 !important;\n}\n\n.ps-1 {\n  padding-left: 0.25rem !important;\n}\n\n.ps-2 {\n  padding-left: 0.5rem !important;\n}\n\n.ps-3 {\n  padding-left: 1rem !important;\n}\n\n.ps-4 {\n  padding-left: 1.5rem !important;\n}\n\n.ps-5 {\n  padding-left: 3rem !important;\n}\n\n.gap-0 {\n  gap: 0 !important;\n}\n\n.gap-1 {\n  gap: 0.25rem !important;\n}\n\n.gap-2 {\n  gap: 0.5rem !important;\n}\n\n.gap-3 {\n  gap: 1rem !important;\n}\n\n.gap-4 {\n  gap: 1.5rem !important;\n}\n\n.gap-5 {\n  gap: 3rem !important;\n}\n\n.row-gap-0 {\n  row-gap: 0 !important;\n}\n\n.row-gap-1 {\n  row-gap: 0.25rem !important;\n}\n\n.row-gap-2 {\n  row-gap: 0.5rem !important;\n}\n\n.row-gap-3 {\n  row-gap: 1rem !important;\n}\n\n.row-gap-4 {\n  row-gap: 1.5rem !important;\n}\n\n.row-gap-5 {\n  row-gap: 3rem !important;\n}\n\n.column-gap-0 {\n  column-gap: 0 !important;\n}\n\n.column-gap-1 {\n  column-gap: 0.25rem !important;\n}\n\n.column-gap-2 {\n  column-gap: 0.5rem !important;\n}\n\n.column-gap-3 {\n  column-gap: 1rem !important;\n}\n\n.column-gap-4 {\n  column-gap: 1.5rem !important;\n}\n\n.column-gap-5 {\n  column-gap: 3rem !important;\n}\n\n.font-monospace {\n  font-family: var(--bs-font-monospace) !important;\n}\n\n.fs-1 {\n  font-size: calc(1.375rem + 1.5vw) !important;\n}\n\n.fs-2 {\n  font-size: calc(1.325rem + 0.9vw) !important;\n}\n\n.fs-3 {\n  font-size: calc(1.3rem + 0.6vw) !important;\n}\n\n.fs-4 {\n  font-size: calc(1.275rem + 0.3vw) !important;\n}\n\n.fs-5 {\n  font-size: 1.25rem !important;\n}\n\n.fs-6 {\n  font-size: 1rem !important;\n}\n\n.fst-italic {\n  font-style: italic !important;\n}\n\n.fst-normal {\n  font-style: normal !important;\n}\n\n.fw-lighter {\n  font-weight: lighter !important;\n}\n\n.fw-light {\n  font-weight: 300 !important;\n}\n\n.fw-normal {\n  font-weight: 400 !important;\n}\n\n.fw-medium {\n  font-weight: 500 !important;\n}\n\n.fw-semibold {\n  font-weight: 600 !important;\n}\n\n.fw-bold {\n  font-weight: 700 !important;\n}\n\n.fw-bolder {\n  font-weight: bolder !important;\n}\n\n.lh-1 {\n  line-height: 1 !important;\n}\n\n.lh-sm {\n  line-height: 1.25 !important;\n}\n\n.lh-base {\n  line-height: 1.5 !important;\n}\n\n.lh-lg {\n  line-height: 2 !important;\n}\n\n.text-start {\n  text-align: left !important;\n}\n\n.text-end {\n  text-align: right !important;\n}\n\n.text-center {\n  text-align: center !important;\n}\n\n.text-decoration-none {\n  text-decoration: none !important;\n}\n\n.text-decoration-underline {\n  text-decoration: underline !important;\n}\n\n.text-decoration-line-through {\n  text-decoration: line-through !important;\n}\n\n.text-lowercase {\n  text-transform: lowercase !important;\n}\n\n.text-uppercase {\n  text-transform: uppercase !important;\n}\n\n.text-capitalize {\n  text-transform: capitalize !important;\n}\n\n.text-wrap {\n  white-space: normal !important;\n}\n\n.text-nowrap {\n  white-space: nowrap !important;\n}\n\n/* rtl:begin:remove */\n.text-break {\n  word-wrap: break-word !important;\n  word-break: break-word !important;\n}\n\n/* rtl:end:remove */\n.text-primary {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-primary-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-secondary {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-secondary-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-success {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-success-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-info {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-info-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-warning {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-warning-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-danger {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-danger-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-light {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-light-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-dark {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-dark-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-black {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-black-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-white {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-white-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-body {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-body-color-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-muted {\n  --bs-text-opacity: 1;\n  color: var(--bs-secondary-color) !important;\n}\n\n.text-black-50 {\n  --bs-text-opacity: 1;\n  color: rgba(0, 0, 0, 0.5) !important;\n}\n\n.text-white-50 {\n  --bs-text-opacity: 1;\n  color: rgba(255, 255, 255, 0.5) !important;\n}\n\n.text-body-secondary {\n  --bs-text-opacity: 1;\n  color: var(--bs-secondary-color) !important;\n}\n\n.text-body-tertiary {\n  --bs-text-opacity: 1;\n  color: var(--bs-tertiary-color) !important;\n}\n\n.text-body-emphasis {\n  --bs-text-opacity: 1;\n  color: var(--bs-emphasis-color) !important;\n}\n\n.text-reset {\n  --bs-text-opacity: 1;\n  color: inherit !important;\n}\n\n.text-opacity-25 {\n  --bs-text-opacity: 0.25;\n}\n\n.text-opacity-50 {\n  --bs-text-opacity: 0.5;\n}\n\n.text-opacity-75 {\n  --bs-text-opacity: 0.75;\n}\n\n.text-opacity-100 {\n  --bs-text-opacity: 1;\n}\n\n.text-primary-emphasis {\n  color: var(--bs-primary-text-emphasis) !important;\n}\n\n.text-secondary-emphasis {\n  color: var(--bs-secondary-text-emphasis) !important;\n}\n\n.text-success-emphasis {\n  color: var(--bs-success-text-emphasis) !important;\n}\n\n.text-info-emphasis {\n  color: var(--bs-info-text-emphasis) !important;\n}\n\n.text-warning-emphasis {\n  color: var(--bs-warning-text-emphasis) !important;\n}\n\n.text-danger-emphasis {\n  color: var(--bs-danger-text-emphasis) !important;\n}\n\n.text-light-emphasis {\n  color: var(--bs-light-text-emphasis) !important;\n}\n\n.text-dark-emphasis {\n  color: var(--bs-dark-text-emphasis) !important;\n}\n\n.link-opacity-10 {\n  --bs-link-opacity: 0.1;\n}\n\n.link-opacity-10-hover:hover {\n  --bs-link-opacity: 0.1;\n}\n\n.link-opacity-25 {\n  --bs-link-opacity: 0.25;\n}\n\n.link-opacity-25-hover:hover {\n  --bs-link-opacity: 0.25;\n}\n\n.link-opacity-50 {\n  --bs-link-opacity: 0.5;\n}\n\n.link-opacity-50-hover:hover {\n  --bs-link-opacity: 0.5;\n}\n\n.link-opacity-75 {\n  --bs-link-opacity: 0.75;\n}\n\n.link-opacity-75-hover:hover {\n  --bs-link-opacity: 0.75;\n}\n\n.link-opacity-100 {\n  --bs-link-opacity: 1;\n}\n\n.link-opacity-100-hover:hover {\n  --bs-link-opacity: 1;\n}\n\n.link-offset-1 {\n  text-underline-offset: 0.125em !important;\n}\n\n.link-offset-1-hover:hover {\n  text-underline-offset: 0.125em !important;\n}\n\n.link-offset-2 {\n  text-underline-offset: 0.25em !important;\n}\n\n.link-offset-2-hover:hover {\n  text-underline-offset: 0.25em !important;\n}\n\n.link-offset-3 {\n  text-underline-offset: 0.375em !important;\n}\n\n.link-offset-3-hover:hover {\n  text-underline-offset: 0.375em !important;\n}\n\n.link-underline-primary {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-primary-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-secondary {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-secondary-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-success {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-success-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-info {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-info-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-warning {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-warning-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-danger {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-danger-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-light {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-light-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-dark {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-dark-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-link-color-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-underline-opacity-0 {\n  --bs-link-underline-opacity: 0;\n}\n\n.link-underline-opacity-0-hover:hover {\n  --bs-link-underline-opacity: 0;\n}\n\n.link-underline-opacity-10 {\n  --bs-link-underline-opacity: 0.1;\n}\n\n.link-underline-opacity-10-hover:hover {\n  --bs-link-underline-opacity: 0.1;\n}\n\n.link-underline-opacity-25 {\n  --bs-link-underline-opacity: 0.25;\n}\n\n.link-underline-opacity-25-hover:hover {\n  --bs-link-underline-opacity: 0.25;\n}\n\n.link-underline-opacity-50 {\n  --bs-link-underline-opacity: 0.5;\n}\n\n.link-underline-opacity-50-hover:hover {\n  --bs-link-underline-opacity: 0.5;\n}\n\n.link-underline-opacity-75 {\n  --bs-link-underline-opacity: 0.75;\n}\n\n.link-underline-opacity-75-hover:hover {\n  --bs-link-underline-opacity: 0.75;\n}\n\n.link-underline-opacity-100 {\n  --bs-link-underline-opacity: 1;\n}\n\n.link-underline-opacity-100-hover:hover {\n  --bs-link-underline-opacity: 1;\n}\n\n.bg-primary {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-primary-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-secondary {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-secondary-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-success {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-success-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-info {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-info-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-warning {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-warning-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-danger {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-danger-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-light {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-light-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-dark {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-dark-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-black {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-black-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-white {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-white-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-body {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-body-bg-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-transparent {\n  --bs-bg-opacity: 1;\n  background-color: transparent !important;\n}\n\n.bg-body-secondary {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-secondary-bg-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-body-tertiary {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-tertiary-bg-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-opacity-10 {\n  --bs-bg-opacity: 0.1;\n}\n\n.bg-opacity-25 {\n  --bs-bg-opacity: 0.25;\n}\n\n.bg-opacity-50 {\n  --bs-bg-opacity: 0.5;\n}\n\n.bg-opacity-75 {\n  --bs-bg-opacity: 0.75;\n}\n\n.bg-opacity-100 {\n  --bs-bg-opacity: 1;\n}\n\n.bg-primary-subtle {\n  background-color: var(--bs-primary-bg-subtle) !important;\n}\n\n.bg-secondary-subtle {\n  background-color: var(--bs-secondary-bg-subtle) !important;\n}\n\n.bg-success-subtle {\n  background-color: var(--bs-success-bg-subtle) !important;\n}\n\n.bg-info-subtle {\n  background-color: var(--bs-info-bg-subtle) !important;\n}\n\n.bg-warning-subtle {\n  background-color: var(--bs-warning-bg-subtle) !important;\n}\n\n.bg-danger-subtle {\n  background-color: var(--bs-danger-bg-subtle) !important;\n}\n\n.bg-light-subtle {\n  background-color: var(--bs-light-bg-subtle) !important;\n}\n\n.bg-dark-subtle {\n  background-color: var(--bs-dark-bg-subtle) !important;\n}\n\n.bg-gradient {\n  background-image: var(--bs-gradient) !important;\n}\n\n.user-select-all {\n  user-select: all !important;\n}\n\n.user-select-auto {\n  user-select: auto !important;\n}\n\n.user-select-none {\n  user-select: none !important;\n}\n\n.pe-none {\n  pointer-events: none !important;\n}\n\n.pe-auto {\n  pointer-events: auto !important;\n}\n\n.rounded {\n  border-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-0 {\n  border-radius: 0 !important;\n}\n\n.rounded-1 {\n  border-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-2 {\n  border-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-3 {\n  border-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-4 {\n  border-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-5 {\n  border-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-circle {\n  border-radius: 50% !important;\n}\n\n.rounded-pill {\n  border-radius: var(--bs-border-radius-pill) !important;\n}\n\n.rounded-top {\n  border-top-left-radius: var(--bs-border-radius) !important;\n  border-top-right-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-top-0 {\n  border-top-left-radius: 0 !important;\n  border-top-right-radius: 0 !important;\n}\n\n.rounded-top-1 {\n  border-top-left-radius: var(--bs-border-radius-sm) !important;\n  border-top-right-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-top-2 {\n  border-top-left-radius: var(--bs-border-radius) !important;\n  border-top-right-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-top-3 {\n  border-top-left-radius: var(--bs-border-radius-lg) !important;\n  border-top-right-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-top-4 {\n  border-top-left-radius: var(--bs-border-radius-xl) !important;\n  border-top-right-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-top-5 {\n  border-top-left-radius: var(--bs-border-radius-xxl) !important;\n  border-top-right-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-top-circle {\n  border-top-left-radius: 50% !important;\n  border-top-right-radius: 50% !important;\n}\n\n.rounded-top-pill {\n  border-top-left-radius: var(--bs-border-radius-pill) !important;\n  border-top-right-radius: var(--bs-border-radius-pill) !important;\n}\n\n.rounded-end {\n  border-top-right-radius: var(--bs-border-radius) !important;\n  border-bottom-right-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-end-0 {\n  border-top-right-radius: 0 !important;\n  border-bottom-right-radius: 0 !important;\n}\n\n.rounded-end-1 {\n  border-top-right-radius: var(--bs-border-radius-sm) !important;\n  border-bottom-right-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-end-2 {\n  border-top-right-radius: var(--bs-border-radius) !important;\n  border-bottom-right-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-end-3 {\n  border-top-right-radius: var(--bs-border-radius-lg) !important;\n  border-bottom-right-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-end-4 {\n  border-top-right-radius: var(--bs-border-radius-xl) !important;\n  border-bottom-right-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-end-5 {\n  border-top-right-radius: var(--bs-border-radius-xxl) !important;\n  border-bottom-right-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-end-circle {\n  border-top-right-radius: 50% !important;\n  border-bottom-right-radius: 50% !important;\n}\n\n.rounded-end-pill {\n  border-top-right-radius: var(--bs-border-radius-pill) !important;\n  border-bottom-right-radius: var(--bs-border-radius-pill) !important;\n}\n\n.rounded-bottom {\n  border-bottom-right-radius: var(--bs-border-radius) !important;\n  border-bottom-left-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-bottom-0 {\n  border-bottom-right-radius: 0 !important;\n  border-bottom-left-radius: 0 !important;\n}\n\n.rounded-bottom-1 {\n  border-bottom-right-radius: var(--bs-border-radius-sm) !important;\n  border-bottom-left-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-bottom-2 {\n  border-bottom-right-radius: var(--bs-border-radius) !important;\n  border-bottom-left-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-bottom-3 {\n  border-bottom-right-radius: var(--bs-border-radius-lg) !important;\n  border-bottom-left-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-bottom-4 {\n  border-bottom-right-radius: var(--bs-border-radius-xl) !important;\n  border-bottom-left-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-bottom-5 {\n  border-bottom-right-radius: var(--bs-border-radius-xxl) !important;\n  border-bottom-left-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-bottom-circle {\n  border-bottom-right-radius: 50% !important;\n  border-bottom-left-radius: 50% !important;\n}\n\n.rounded-bottom-pill {\n  border-bottom-right-radius: var(--bs-border-radius-pill) !important;\n  border-bottom-left-radius: var(--bs-border-radius-pill) !important;\n}\n\n.rounded-start {\n  border-bottom-left-radius: var(--bs-border-radius) !important;\n  border-top-left-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-start-0 {\n  border-bottom-left-radius: 0 !important;\n  border-top-left-radius: 0 !important;\n}\n\n.rounded-start-1 {\n  border-bottom-left-radius: var(--bs-border-radius-sm) !important;\n  border-top-left-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-start-2 {\n  border-bottom-left-radius: var(--bs-border-radius) !important;\n  border-top-left-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-start-3 {\n  border-bottom-left-radius: var(--bs-border-radius-lg) !important;\n  border-top-left-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-start-4 {\n  border-bottom-left-radius: var(--bs-border-radius-xl) !important;\n  border-top-left-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-start-5 {\n  border-bottom-left-radius: var(--bs-border-radius-xxl) !important;\n  border-top-left-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-start-circle {\n  border-bottom-left-radius: 50% !important;\n  border-top-left-radius: 50% !important;\n}\n\n.rounded-start-pill {\n  border-bottom-left-radius: var(--bs-border-radius-pill) !important;\n  border-top-left-radius: var(--bs-border-radius-pill) !important;\n}\n\n.visible {\n  visibility: visible !important;\n}\n\n.invisible {\n  visibility: hidden !important;\n}\n\n.z-n1 {\n  z-index: -1 !important;\n}\n\n.z-0 {\n  z-index: 0 !important;\n}\n\n.z-1 {\n  z-index: 1 !important;\n}\n\n.z-2 {\n  z-index: 2 !important;\n}\n\n.z-3 {\n  z-index: 3 !important;\n}\n\n@media (min-width: 540px) {\n  .float-sm-start {\n    float: left !important;\n  }\n  .float-sm-end {\n    float: right !important;\n  }\n  .float-sm-none {\n    float: none !important;\n  }\n  .object-fit-sm-contain {\n    object-fit: contain !important;\n  }\n  .object-fit-sm-cover {\n    object-fit: cover !important;\n  }\n  .object-fit-sm-fill {\n    object-fit: fill !important;\n  }\n  .object-fit-sm-scale {\n    object-fit: scale-down !important;\n  }\n  .object-fit-sm-none {\n    object-fit: none !important;\n  }\n  .d-sm-inline {\n    display: inline !important;\n  }\n  .d-sm-inline-block {\n    display: inline-block !important;\n  }\n  .d-sm-block {\n    display: block !important;\n  }\n  .d-sm-grid {\n    display: grid !important;\n  }\n  .d-sm-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-sm-table {\n    display: table !important;\n  }\n  .d-sm-table-row {\n    display: table-row !important;\n  }\n  .d-sm-table-cell {\n    display: table-cell !important;\n  }\n  .d-sm-flex {\n    display: flex !important;\n  }\n  .d-sm-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-sm-none {\n    display: none !important;\n  }\n  .flex-sm-fill {\n    flex: 1 1 auto !important;\n  }\n  .flex-sm-row {\n    flex-direction: row !important;\n  }\n  .flex-sm-column {\n    flex-direction: column !important;\n  }\n  .flex-sm-row-reverse {\n    flex-direction: row-reverse !important;\n  }\n  .flex-sm-column-reverse {\n    flex-direction: column-reverse !important;\n  }\n  .flex-sm-grow-0 {\n    flex-grow: 0 !important;\n  }\n  .flex-sm-grow-1 {\n    flex-grow: 1 !important;\n  }\n  .flex-sm-shrink-0 {\n    flex-shrink: 0 !important;\n  }\n  .flex-sm-shrink-1 {\n    flex-shrink: 1 !important;\n  }\n  .flex-sm-wrap {\n    flex-wrap: wrap !important;\n  }\n  .flex-sm-nowrap {\n    flex-wrap: nowrap !important;\n  }\n  .flex-sm-wrap-reverse {\n    flex-wrap: wrap-reverse !important;\n  }\n  .justify-content-sm-start {\n    justify-content: flex-start !important;\n  }\n  .justify-content-sm-end {\n    justify-content: flex-end !important;\n  }\n  .justify-content-sm-center {\n    justify-content: center !important;\n  }\n  .justify-content-sm-between {\n    justify-content: space-between !important;\n  }\n  .justify-content-sm-around {\n    justify-content: space-around !important;\n  }\n  .justify-content-sm-evenly {\n    justify-content: space-evenly !important;\n  }\n  .align-items-sm-start {\n    align-items: flex-start !important;\n  }\n  .align-items-sm-end {\n    align-items: flex-end !important;\n  }\n  .align-items-sm-center {\n    align-items: center !important;\n  }\n  .align-items-sm-baseline {\n    align-items: baseline !important;\n  }\n  .align-items-sm-stretch {\n    align-items: stretch !important;\n  }\n  .align-content-sm-start {\n    align-content: flex-start !important;\n  }\n  .align-content-sm-end {\n    align-content: flex-end !important;\n  }\n  .align-content-sm-center {\n    align-content: center !important;\n  }\n  .align-content-sm-between {\n    align-content: space-between !important;\n  }\n  .align-content-sm-around {\n    align-content: space-around !important;\n  }\n  .align-content-sm-stretch {\n    align-content: stretch !important;\n  }\n  .align-self-sm-auto {\n    align-self: auto !important;\n  }\n  .align-self-sm-start {\n    align-self: flex-start !important;\n  }\n  .align-self-sm-end {\n    align-self: flex-end !important;\n  }\n  .align-self-sm-center {\n    align-self: center !important;\n  }\n  .align-self-sm-baseline {\n    align-self: baseline !important;\n  }\n  .align-self-sm-stretch {\n    align-self: stretch !important;\n  }\n  .order-sm-first {\n    order: -1 !important;\n  }\n  .order-sm-0 {\n    order: 0 !important;\n  }\n  .order-sm-1 {\n    order: 1 !important;\n  }\n  .order-sm-2 {\n    order: 2 !important;\n  }\n  .order-sm-3 {\n    order: 3 !important;\n  }\n  .order-sm-4 {\n    order: 4 !important;\n  }\n  .order-sm-5 {\n    order: 5 !important;\n  }\n  .order-sm-last {\n    order: 6 !important;\n  }\n  .m-sm-0 {\n    margin: 0 !important;\n  }\n  .m-sm-1 {\n    margin: 0.25rem !important;\n  }\n  .m-sm-2 {\n    margin: 0.5rem !important;\n  }\n  .m-sm-3 {\n    margin: 1rem !important;\n  }\n  .m-sm-4 {\n    margin: 1.5rem !important;\n  }\n  .m-sm-5 {\n    margin: 3rem !important;\n  }\n  .m-sm-auto {\n    margin: auto !important;\n  }\n  .mx-sm-0 {\n    margin-right: 0 !important;\n    margin-left: 0 !important;\n  }\n  .mx-sm-1 {\n    margin-right: 0.25rem !important;\n    margin-left: 0.25rem !important;\n  }\n  .mx-sm-2 {\n    margin-right: 0.5rem !important;\n    margin-left: 0.5rem !important;\n  }\n  .mx-sm-3 {\n    margin-right: 1rem !important;\n    margin-left: 1rem !important;\n  }\n  .mx-sm-4 {\n    margin-right: 1.5rem !important;\n    margin-left: 1.5rem !important;\n  }\n  .mx-sm-5 {\n    margin-right: 3rem !important;\n    margin-left: 3rem !important;\n  }\n  .mx-sm-auto {\n    margin-right: auto !important;\n    margin-left: auto !important;\n  }\n  .my-sm-0 {\n    margin-top: 0 !important;\n    margin-bottom: 0 !important;\n  }\n  .my-sm-1 {\n    margin-top: 0.25rem !important;\n    margin-bottom: 0.25rem !important;\n  }\n  .my-sm-2 {\n    margin-top: 0.5rem !important;\n    margin-bottom: 0.5rem !important;\n  }\n  .my-sm-3 {\n    margin-top: 1rem !important;\n    margin-bottom: 1rem !important;\n  }\n  .my-sm-4 {\n    margin-top: 1.5rem !important;\n    margin-bottom: 1.5rem !important;\n  }\n  .my-sm-5 {\n    margin-top: 3rem !important;\n    margin-bottom: 3rem !important;\n  }\n  .my-sm-auto {\n    margin-top: auto !important;\n    margin-bottom: auto !important;\n  }\n  .mt-sm-0 {\n    margin-top: 0 !important;\n  }\n  .mt-sm-1 {\n    margin-top: 0.25rem !important;\n  }\n  .mt-sm-2 {\n    margin-top: 0.5rem !important;\n  }\n  .mt-sm-3 {\n    margin-top: 1rem !important;\n  }\n  .mt-sm-4 {\n    margin-top: 1.5rem !important;\n  }\n  .mt-sm-5 {\n    margin-top: 3rem !important;\n  }\n  .mt-sm-auto {\n    margin-top: auto !important;\n  }\n  .me-sm-0 {\n    margin-right: 0 !important;\n  }\n  .me-sm-1 {\n    margin-right: 0.25rem !important;\n  }\n  .me-sm-2 {\n    margin-right: 0.5rem !important;\n  }\n  .me-sm-3 {\n    margin-right: 1rem !important;\n  }\n  .me-sm-4 {\n    margin-right: 1.5rem !important;\n  }\n  .me-sm-5 {\n    margin-right: 3rem !important;\n  }\n  .me-sm-auto {\n    margin-right: auto !important;\n  }\n  .mb-sm-0 {\n    margin-bottom: 0 !important;\n  }\n  .mb-sm-1 {\n    margin-bottom: 0.25rem !important;\n  }\n  .mb-sm-2 {\n    margin-bottom: 0.5rem !important;\n  }\n  .mb-sm-3 {\n    margin-bottom: 1rem !important;\n  }\n  .mb-sm-4 {\n    margin-bottom: 1.5rem !important;\n  }\n  .mb-sm-5 {\n    margin-bottom: 3rem !important;\n  }\n  .mb-sm-auto {\n    margin-bottom: auto !important;\n  }\n  .ms-sm-0 {\n    margin-left: 0 !important;\n  }\n  .ms-sm-1 {\n    margin-left: 0.25rem !important;\n  }\n  .ms-sm-2 {\n    margin-left: 0.5rem !important;\n  }\n  .ms-sm-3 {\n    margin-left: 1rem !important;\n  }\n  .ms-sm-4 {\n    margin-left: 1.5rem !important;\n  }\n  .ms-sm-5 {\n    margin-left: 3rem !important;\n  }\n  .ms-sm-auto {\n    margin-left: auto !important;\n  }\n  .p-sm-0 {\n    padding: 0 !important;\n  }\n  .p-sm-1 {\n    padding: 0.25rem !important;\n  }\n  .p-sm-2 {\n    padding: 0.5rem !important;\n  }\n  .p-sm-3 {\n    padding: 1rem !important;\n  }\n  .p-sm-4 {\n    padding: 1.5rem !important;\n  }\n  .p-sm-5 {\n    padding: 3rem !important;\n  }\n  .px-sm-0 {\n    padding-right: 0 !important;\n    padding-left: 0 !important;\n  }\n  .px-sm-1 {\n    padding-right: 0.25rem !important;\n    padding-left: 0.25rem !important;\n  }\n  .px-sm-2 {\n    padding-right: 0.5rem !important;\n    padding-left: 0.5rem !important;\n  }\n  .px-sm-3 {\n    padding-right: 1rem !important;\n    padding-left: 1rem !important;\n  }\n  .px-sm-4 {\n    padding-right: 1.5rem !important;\n    padding-left: 1.5rem !important;\n  }\n  .px-sm-5 {\n    padding-right: 3rem !important;\n    padding-left: 3rem !important;\n  }\n  .py-sm-0 {\n    padding-top: 0 !important;\n    padding-bottom: 0 !important;\n  }\n  .py-sm-1 {\n    padding-top: 0.25rem !important;\n    padding-bottom: 0.25rem !important;\n  }\n  .py-sm-2 {\n    padding-top: 0.5rem !important;\n    padding-bottom: 0.5rem !important;\n  }\n  .py-sm-3 {\n    padding-top: 1rem !important;\n    padding-bottom: 1rem !important;\n  }\n  .py-sm-4 {\n    padding-top: 1.5rem !important;\n    padding-bottom: 1.5rem !important;\n  }\n  .py-sm-5 {\n    padding-top: 3rem !important;\n    padding-bottom: 3rem !important;\n  }\n  .pt-sm-0 {\n    padding-top: 0 !important;\n  }\n  .pt-sm-1 {\n    padding-top: 0.25rem !important;\n  }\n  .pt-sm-2 {\n    padding-top: 0.5rem !important;\n  }\n  .pt-sm-3 {\n    padding-top: 1rem !important;\n  }\n  .pt-sm-4 {\n    padding-top: 1.5rem !important;\n  }\n  .pt-sm-5 {\n    padding-top: 3rem !important;\n  }\n  .pe-sm-0 {\n    padding-right: 0 !important;\n  }\n  .pe-sm-1 {\n    padding-right: 0.25rem !important;\n  }\n  .pe-sm-2 {\n    padding-right: 0.5rem !important;\n  }\n  .pe-sm-3 {\n    padding-right: 1rem !important;\n  }\n  .pe-sm-4 {\n    padding-right: 1.5rem !important;\n  }\n  .pe-sm-5 {\n    padding-right: 3rem !important;\n  }\n  .pb-sm-0 {\n    padding-bottom: 0 !important;\n  }\n  .pb-sm-1 {\n    padding-bottom: 0.25rem !important;\n  }\n  .pb-sm-2 {\n    padding-bottom: 0.5rem !important;\n  }\n  .pb-sm-3 {\n    padding-bottom: 1rem !important;\n  }\n  .pb-sm-4 {\n    padding-bottom: 1.5rem !important;\n  }\n  .pb-sm-5 {\n    padding-bottom: 3rem !important;\n  }\n  .ps-sm-0 {\n    padding-left: 0 !important;\n  }\n  .ps-sm-1 {\n    padding-left: 0.25rem !important;\n  }\n  .ps-sm-2 {\n    padding-left: 0.5rem !important;\n  }\n  .ps-sm-3 {\n    padding-left: 1rem !important;\n  }\n  .ps-sm-4 {\n    padding-left: 1.5rem !important;\n  }\n  .ps-sm-5 {\n    padding-left: 3rem !important;\n  }\n  .gap-sm-0 {\n    gap: 0 !important;\n  }\n  .gap-sm-1 {\n    gap: 0.25rem !important;\n  }\n  .gap-sm-2 {\n    gap: 0.5rem !important;\n  }\n  .gap-sm-3 {\n    gap: 1rem !important;\n  }\n  .gap-sm-4 {\n    gap: 1.5rem !important;\n  }\n  .gap-sm-5 {\n    gap: 3rem !important;\n  }\n  .row-gap-sm-0 {\n    row-gap: 0 !important;\n  }\n  .row-gap-sm-1 {\n    row-gap: 0.25rem !important;\n  }\n  .row-gap-sm-2 {\n    row-gap: 0.5rem !important;\n  }\n  .row-gap-sm-3 {\n    row-gap: 1rem !important;\n  }\n  .row-gap-sm-4 {\n    row-gap: 1.5rem !important;\n  }\n  .row-gap-sm-5 {\n    row-gap: 3rem !important;\n  }\n  .column-gap-sm-0 {\n    column-gap: 0 !important;\n  }\n  .column-gap-sm-1 {\n    column-gap: 0.25rem !important;\n  }\n  .column-gap-sm-2 {\n    column-gap: 0.5rem !important;\n  }\n  .column-gap-sm-3 {\n    column-gap: 1rem !important;\n  }\n  .column-gap-sm-4 {\n    column-gap: 1.5rem !important;\n  }\n  .column-gap-sm-5 {\n    column-gap: 3rem !important;\n  }\n  .text-sm-start {\n    text-align: left !important;\n  }\n  .text-sm-end {\n    text-align: right !important;\n  }\n  .text-sm-center {\n    text-align: center !important;\n  }\n}\n@media (min-width: 720px) {\n  .float-md-start {\n    float: left !important;\n  }\n  .float-md-end {\n    float: right !important;\n  }\n  .float-md-none {\n    float: none !important;\n  }\n  .object-fit-md-contain {\n    object-fit: contain !important;\n  }\n  .object-fit-md-cover {\n    object-fit: cover !important;\n  }\n  .object-fit-md-fill {\n    object-fit: fill !important;\n  }\n  .object-fit-md-scale {\n    object-fit: scale-down !important;\n  }\n  .object-fit-md-none {\n    object-fit: none !important;\n  }\n  .d-md-inline {\n    display: inline !important;\n  }\n  .d-md-inline-block {\n    display: inline-block !important;\n  }\n  .d-md-block {\n    display: block !important;\n  }\n  .d-md-grid {\n    display: grid !important;\n  }\n  .d-md-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-md-table {\n    display: table !important;\n  }\n  .d-md-table-row {\n    display: table-row !important;\n  }\n  .d-md-table-cell {\n    display: table-cell !important;\n  }\n  .d-md-flex {\n    display: flex !important;\n  }\n  .d-md-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-md-none {\n    display: none !important;\n  }\n  .flex-md-fill {\n    flex: 1 1 auto !important;\n  }\n  .flex-md-row {\n    flex-direction: row !important;\n  }\n  .flex-md-column {\n    flex-direction: column !important;\n  }\n  .flex-md-row-reverse {\n    flex-direction: row-reverse !important;\n  }\n  .flex-md-column-reverse {\n    flex-direction: column-reverse !important;\n  }\n  .flex-md-grow-0 {\n    flex-grow: 0 !important;\n  }\n  .flex-md-grow-1 {\n    flex-grow: 1 !important;\n  }\n  .flex-md-shrink-0 {\n    flex-shrink: 0 !important;\n  }\n  .flex-md-shrink-1 {\n    flex-shrink: 1 !important;\n  }\n  .flex-md-wrap {\n    flex-wrap: wrap !important;\n  }\n  .flex-md-nowrap {\n    flex-wrap: nowrap !important;\n  }\n  .flex-md-wrap-reverse {\n    flex-wrap: wrap-reverse !important;\n  }\n  .justify-content-md-start {\n    justify-content: flex-start !important;\n  }\n  .justify-content-md-end {\n    justify-content: flex-end !important;\n  }\n  .justify-content-md-center {\n    justify-content: center !important;\n  }\n  .justify-content-md-between {\n    justify-content: space-between !important;\n  }\n  .justify-content-md-around {\n    justify-content: space-around !important;\n  }\n  .justify-content-md-evenly {\n    justify-content: space-evenly !important;\n  }\n  .align-items-md-start {\n    align-items: flex-start !important;\n  }\n  .align-items-md-end {\n    align-items: flex-end !important;\n  }\n  .align-items-md-center {\n    align-items: center !important;\n  }\n  .align-items-md-baseline {\n    align-items: baseline !important;\n  }\n  .align-items-md-stretch {\n    align-items: stretch !important;\n  }\n  .align-content-md-start {\n    align-content: flex-start !important;\n  }\n  .align-content-md-end {\n    align-content: flex-end !important;\n  }\n  .align-content-md-center {\n    align-content: center !important;\n  }\n  .align-content-md-between {\n    align-content: space-between !important;\n  }\n  .align-content-md-around {\n    align-content: space-around !important;\n  }\n  .align-content-md-stretch {\n    align-content: stretch !important;\n  }\n  .align-self-md-auto {\n    align-self: auto !important;\n  }\n  .align-self-md-start {\n    align-self: flex-start !important;\n  }\n  .align-self-md-end {\n    align-self: flex-end !important;\n  }\n  .align-self-md-center {\n    align-self: center !important;\n  }\n  .align-self-md-baseline {\n    align-self: baseline !important;\n  }\n  .align-self-md-stretch {\n    align-self: stretch !important;\n  }\n  .order-md-first {\n    order: -1 !important;\n  }\n  .order-md-0 {\n    order: 0 !important;\n  }\n  .order-md-1 {\n    order: 1 !important;\n  }\n  .order-md-2 {\n    order: 2 !important;\n  }\n  .order-md-3 {\n    order: 3 !important;\n  }\n  .order-md-4 {\n    order: 4 !important;\n  }\n  .order-md-5 {\n    order: 5 !important;\n  }\n  .order-md-last {\n    order: 6 !important;\n  }\n  .m-md-0 {\n    margin: 0 !important;\n  }\n  .m-md-1 {\n    margin: 0.25rem !important;\n  }\n  .m-md-2 {\n    margin: 0.5rem !important;\n  }\n  .m-md-3 {\n    margin: 1rem !important;\n  }\n  .m-md-4 {\n    margin: 1.5rem !important;\n  }\n  .m-md-5 {\n    margin: 3rem !important;\n  }\n  .m-md-auto {\n    margin: auto !important;\n  }\n  .mx-md-0 {\n    margin-right: 0 !important;\n    margin-left: 0 !important;\n  }\n  .mx-md-1 {\n    margin-right: 0.25rem !important;\n    margin-left: 0.25rem !important;\n  }\n  .mx-md-2 {\n    margin-right: 0.5rem !important;\n    margin-left: 0.5rem !important;\n  }\n  .mx-md-3 {\n    margin-right: 1rem !important;\n    margin-left: 1rem !important;\n  }\n  .mx-md-4 {\n    margin-right: 1.5rem !important;\n    margin-left: 1.5rem !important;\n  }\n  .mx-md-5 {\n    margin-right: 3rem !important;\n    margin-left: 3rem !important;\n  }\n  .mx-md-auto {\n    margin-right: auto !important;\n    margin-left: auto !important;\n  }\n  .my-md-0 {\n    margin-top: 0 !important;\n    margin-bottom: 0 !important;\n  }\n  .my-md-1 {\n    margin-top: 0.25rem !important;\n    margin-bottom: 0.25rem !important;\n  }\n  .my-md-2 {\n    margin-top: 0.5rem !important;\n    margin-bottom: 0.5rem !important;\n  }\n  .my-md-3 {\n    margin-top: 1rem !important;\n    margin-bottom: 1rem !important;\n  }\n  .my-md-4 {\n    margin-top: 1.5rem !important;\n    margin-bottom: 1.5rem !important;\n  }\n  .my-md-5 {\n    margin-top: 3rem !important;\n    margin-bottom: 3rem !important;\n  }\n  .my-md-auto {\n    margin-top: auto !important;\n    margin-bottom: auto !important;\n  }\n  .mt-md-0 {\n    margin-top: 0 !important;\n  }\n  .mt-md-1 {\n    margin-top: 0.25rem !important;\n  }\n  .mt-md-2 {\n    margin-top: 0.5rem !important;\n  }\n  .mt-md-3 {\n    margin-top: 1rem !important;\n  }\n  .mt-md-4 {\n    margin-top: 1.5rem !important;\n  }\n  .mt-md-5 {\n    margin-top: 3rem !important;\n  }\n  .mt-md-auto {\n    margin-top: auto !important;\n  }\n  .me-md-0 {\n    margin-right: 0 !important;\n  }\n  .me-md-1 {\n    margin-right: 0.25rem !important;\n  }\n  .me-md-2 {\n    margin-right: 0.5rem !important;\n  }\n  .me-md-3 {\n    margin-right: 1rem !important;\n  }\n  .me-md-4 {\n    margin-right: 1.5rem !important;\n  }\n  .me-md-5 {\n    margin-right: 3rem !important;\n  }\n  .me-md-auto {\n    margin-right: auto !important;\n  }\n  .mb-md-0 {\n    margin-bottom: 0 !important;\n  }\n  .mb-md-1 {\n    margin-bottom: 0.25rem !important;\n  }\n  .mb-md-2 {\n    margin-bottom: 0.5rem !important;\n  }\n  .mb-md-3 {\n    margin-bottom: 1rem !important;\n  }\n  .mb-md-4 {\n    margin-bottom: 1.5rem !important;\n  }\n  .mb-md-5 {\n    margin-bottom: 3rem !important;\n  }\n  .mb-md-auto {\n    margin-bottom: auto !important;\n  }\n  .ms-md-0 {\n    margin-left: 0 !important;\n  }\n  .ms-md-1 {\n    margin-left: 0.25rem !important;\n  }\n  .ms-md-2 {\n    margin-left: 0.5rem !important;\n  }\n  .ms-md-3 {\n    margin-left: 1rem !important;\n  }\n  .ms-md-4 {\n    margin-left: 1.5rem !important;\n  }\n  .ms-md-5 {\n    margin-left: 3rem !important;\n  }\n  .ms-md-auto {\n    margin-left: auto !important;\n  }\n  .p-md-0 {\n    padding: 0 !important;\n  }\n  .p-md-1 {\n    padding: 0.25rem !important;\n  }\n  .p-md-2 {\n    padding: 0.5rem !important;\n  }\n  .p-md-3 {\n    padding: 1rem !important;\n  }\n  .p-md-4 {\n    padding: 1.5rem !important;\n  }\n  .p-md-5 {\n    padding: 3rem !important;\n  }\n  .px-md-0 {\n    padding-right: 0 !important;\n    padding-left: 0 !important;\n  }\n  .px-md-1 {\n    padding-right: 0.25rem !important;\n    padding-left: 0.25rem !important;\n  }\n  .px-md-2 {\n    padding-right: 0.5rem !important;\n    padding-left: 0.5rem !important;\n  }\n  .px-md-3 {\n    padding-right: 1rem !important;\n    padding-left: 1rem !important;\n  }\n  .px-md-4 {\n    padding-right: 1.5rem !important;\n    padding-left: 1.5rem !important;\n  }\n  .px-md-5 {\n    padding-right: 3rem !important;\n    padding-left: 3rem !important;\n  }\n  .py-md-0 {\n    padding-top: 0 !important;\n    padding-bottom: 0 !important;\n  }\n  .py-md-1 {\n    padding-top: 0.25rem !important;\n    padding-bottom: 0.25rem !important;\n  }\n  .py-md-2 {\n    padding-top: 0.5rem !important;\n    padding-bottom: 0.5rem !important;\n  }\n  .py-md-3 {\n    padding-top: 1rem !important;\n    padding-bottom: 1rem !important;\n  }\n  .py-md-4 {\n    padding-top: 1.5rem !important;\n    padding-bottom: 1.5rem !important;\n  }\n  .py-md-5 {\n    padding-top: 3rem !important;\n    padding-bottom: 3rem !important;\n  }\n  .pt-md-0 {\n    padding-top: 0 !important;\n  }\n  .pt-md-1 {\n    padding-top: 0.25rem !important;\n  }\n  .pt-md-2 {\n    padding-top: 0.5rem !important;\n  }\n  .pt-md-3 {\n    padding-top: 1rem !important;\n  }\n  .pt-md-4 {\n    padding-top: 1.5rem !important;\n  }\n  .pt-md-5 {\n    padding-top: 3rem !important;\n  }\n  .pe-md-0 {\n    padding-right: 0 !important;\n  }\n  .pe-md-1 {\n    padding-right: 0.25rem !important;\n  }\n  .pe-md-2 {\n    padding-right: 0.5rem !important;\n  }\n  .pe-md-3 {\n    padding-right: 1rem !important;\n  }\n  .pe-md-4 {\n    padding-right: 1.5rem !important;\n  }\n  .pe-md-5 {\n    padding-right: 3rem !important;\n  }\n  .pb-md-0 {\n    padding-bottom: 0 !important;\n  }\n  .pb-md-1 {\n    padding-bottom: 0.25rem !important;\n  }\n  .pb-md-2 {\n    padding-bottom: 0.5rem !important;\n  }\n  .pb-md-3 {\n    padding-bottom: 1rem !important;\n  }\n  .pb-md-4 {\n    padding-bottom: 1.5rem !important;\n  }\n  .pb-md-5 {\n    padding-bottom: 3rem !important;\n  }\n  .ps-md-0 {\n    padding-left: 0 !important;\n  }\n  .ps-md-1 {\n    padding-left: 0.25rem !important;\n  }\n  .ps-md-2 {\n    padding-left: 0.5rem !important;\n  }\n  .ps-md-3 {\n    padding-left: 1rem !important;\n  }\n  .ps-md-4 {\n    padding-left: 1.5rem !important;\n  }\n  .ps-md-5 {\n    padding-left: 3rem !important;\n  }\n  .gap-md-0 {\n    gap: 0 !important;\n  }\n  .gap-md-1 {\n    gap: 0.25rem !important;\n  }\n  .gap-md-2 {\n    gap: 0.5rem !important;\n  }\n  .gap-md-3 {\n    gap: 1rem !important;\n  }\n  .gap-md-4 {\n    gap: 1.5rem !important;\n  }\n  .gap-md-5 {\n    gap: 3rem !important;\n  }\n  .row-gap-md-0 {\n    row-gap: 0 !important;\n  }\n  .row-gap-md-1 {\n    row-gap: 0.25rem !important;\n  }\n  .row-gap-md-2 {\n    row-gap: 0.5rem !important;\n  }\n  .row-gap-md-3 {\n    row-gap: 1rem !important;\n  }\n  .row-gap-md-4 {\n    row-gap: 1.5rem !important;\n  }\n  .row-gap-md-5 {\n    row-gap: 3rem !important;\n  }\n  .column-gap-md-0 {\n    column-gap: 0 !important;\n  }\n  .column-gap-md-1 {\n    column-gap: 0.25rem !important;\n  }\n  .column-gap-md-2 {\n    column-gap: 0.5rem !important;\n  }\n  .column-gap-md-3 {\n    column-gap: 1rem !important;\n  }\n  .column-gap-md-4 {\n    column-gap: 1.5rem !important;\n  }\n  .column-gap-md-5 {\n    column-gap: 3rem !important;\n  }\n  .text-md-start {\n    text-align: left !important;\n  }\n  .text-md-end {\n    text-align: right !important;\n  }\n  .text-md-center {\n    text-align: center !important;\n  }\n}\n@media (min-width: 960px) {\n  .float-lg-start {\n    float: left !important;\n  }\n  .float-lg-end {\n    float: right !important;\n  }\n  .float-lg-none {\n    float: none !important;\n  }\n  .object-fit-lg-contain {\n    object-fit: contain !important;\n  }\n  .object-fit-lg-cover {\n    object-fit: cover !important;\n  }\n  .object-fit-lg-fill {\n    object-fit: fill !important;\n  }\n  .object-fit-lg-scale {\n    object-fit: scale-down !important;\n  }\n  .object-fit-lg-none {\n    object-fit: none !important;\n  }\n  .d-lg-inline {\n    display: inline !important;\n  }\n  .d-lg-inline-block {\n    display: inline-block !important;\n  }\n  .d-lg-block {\n    display: block !important;\n  }\n  .d-lg-grid {\n    display: grid !important;\n  }\n  .d-lg-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-lg-table {\n    display: table !important;\n  }\n  .d-lg-table-row {\n    display: table-row !important;\n  }\n  .d-lg-table-cell {\n    display: table-cell !important;\n  }\n  .d-lg-flex {\n    display: flex !important;\n  }\n  .d-lg-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-lg-none {\n    display: none !important;\n  }\n  .flex-lg-fill {\n    flex: 1 1 auto !important;\n  }\n  .flex-lg-row {\n    flex-direction: row !important;\n  }\n  .flex-lg-column {\n    flex-direction: column !important;\n  }\n  .flex-lg-row-reverse {\n    flex-direction: row-reverse !important;\n  }\n  .flex-lg-column-reverse {\n    flex-direction: column-reverse !important;\n  }\n  .flex-lg-grow-0 {\n    flex-grow: 0 !important;\n  }\n  .flex-lg-grow-1 {\n    flex-grow: 1 !important;\n  }\n  .flex-lg-shrink-0 {\n    flex-shrink: 0 !important;\n  }\n  .flex-lg-shrink-1 {\n    flex-shrink: 1 !important;\n  }\n  .flex-lg-wrap {\n    flex-wrap: wrap !important;\n  }\n  .flex-lg-nowrap {\n    flex-wrap: nowrap !important;\n  }\n  .flex-lg-wrap-reverse {\n    flex-wrap: wrap-reverse !important;\n  }\n  .justify-content-lg-start {\n    justify-content: flex-start !important;\n  }\n  .justify-content-lg-end {\n    justify-content: flex-end !important;\n  }\n  .justify-content-lg-center {\n    justify-content: center !important;\n  }\n  .justify-content-lg-between {\n    justify-content: space-between !important;\n  }\n  .justify-content-lg-around {\n    justify-content: space-around !important;\n  }\n  .justify-content-lg-evenly {\n    justify-content: space-evenly !important;\n  }\n  .align-items-lg-start {\n    align-items: flex-start !important;\n  }\n  .align-items-lg-end {\n    align-items: flex-end !important;\n  }\n  .align-items-lg-center {\n    align-items: center !important;\n  }\n  .align-items-lg-baseline {\n    align-items: baseline !important;\n  }\n  .align-items-lg-stretch {\n    align-items: stretch !important;\n  }\n  .align-content-lg-start {\n    align-content: flex-start !important;\n  }\n  .align-content-lg-end {\n    align-content: flex-end !important;\n  }\n  .align-content-lg-center {\n    align-content: center !important;\n  }\n  .align-content-lg-between {\n    align-content: space-between !important;\n  }\n  .align-content-lg-around {\n    align-content: space-around !important;\n  }\n  .align-content-lg-stretch {\n    align-content: stretch !important;\n  }\n  .align-self-lg-auto {\n    align-self: auto !important;\n  }\n  .align-self-lg-start {\n    align-self: flex-start !important;\n  }\n  .align-self-lg-end {\n    align-self: flex-end !important;\n  }\n  .align-self-lg-center {\n    align-self: center !important;\n  }\n  .align-self-lg-baseline {\n    align-self: baseline !important;\n  }\n  .align-self-lg-stretch {\n    align-self: stretch !important;\n  }\n  .order-lg-first {\n    order: -1 !important;\n  }\n  .order-lg-0 {\n    order: 0 !important;\n  }\n  .order-lg-1 {\n    order: 1 !important;\n  }\n  .order-lg-2 {\n    order: 2 !important;\n  }\n  .order-lg-3 {\n    order: 3 !important;\n  }\n  .order-lg-4 {\n    order: 4 !important;\n  }\n  .order-lg-5 {\n    order: 5 !important;\n  }\n  .order-lg-last {\n    order: 6 !important;\n  }\n  .m-lg-0 {\n    margin: 0 !important;\n  }\n  .m-lg-1 {\n    margin: 0.25rem !important;\n  }\n  .m-lg-2 {\n    margin: 0.5rem !important;\n  }\n  .m-lg-3 {\n    margin: 1rem !important;\n  }\n  .m-lg-4 {\n    margin: 1.5rem !important;\n  }\n  .m-lg-5 {\n    margin: 3rem !important;\n  }\n  .m-lg-auto {\n    margin: auto !important;\n  }\n  .mx-lg-0 {\n    margin-right: 0 !important;\n    margin-left: 0 !important;\n  }\n  .mx-lg-1 {\n    margin-right: 0.25rem !important;\n    margin-left: 0.25rem !important;\n  }\n  .mx-lg-2 {\n    margin-right: 0.5rem !important;\n    margin-left: 0.5rem !important;\n  }\n  .mx-lg-3 {\n    margin-right: 1rem !important;\n    margin-left: 1rem !important;\n  }\n  .mx-lg-4 {\n    margin-right: 1.5rem !important;\n    margin-left: 1.5rem !important;\n  }\n  .mx-lg-5 {\n    margin-right: 3rem !important;\n    margin-left: 3rem !important;\n  }\n  .mx-lg-auto {\n    margin-right: auto !important;\n    margin-left: auto !important;\n  }\n  .my-lg-0 {\n    margin-top: 0 !important;\n    margin-bottom: 0 !important;\n  }\n  .my-lg-1 {\n    margin-top: 0.25rem !important;\n    margin-bottom: 0.25rem !important;\n  }\n  .my-lg-2 {\n    margin-top: 0.5rem !important;\n    margin-bottom: 0.5rem !important;\n  }\n  .my-lg-3 {\n    margin-top: 1rem !important;\n    margin-bottom: 1rem !important;\n  }\n  .my-lg-4 {\n    margin-top: 1.5rem !important;\n    margin-bottom: 1.5rem !important;\n  }\n  .my-lg-5 {\n    margin-top: 3rem !important;\n    margin-bottom: 3rem !important;\n  }\n  .my-lg-auto {\n    margin-top: auto !important;\n    margin-bottom: auto !important;\n  }\n  .mt-lg-0 {\n    margin-top: 0 !important;\n  }\n  .mt-lg-1 {\n    margin-top: 0.25rem !important;\n  }\n  .mt-lg-2 {\n    margin-top: 0.5rem !important;\n  }\n  .mt-lg-3 {\n    margin-top: 1rem !important;\n  }\n  .mt-lg-4 {\n    margin-top: 1.5rem !important;\n  }\n  .mt-lg-5 {\n    margin-top: 3rem !important;\n  }\n  .mt-lg-auto {\n    margin-top: auto !important;\n  }\n  .me-lg-0 {\n    margin-right: 0 !important;\n  }\n  .me-lg-1 {\n    margin-right: 0.25rem !important;\n  }\n  .me-lg-2 {\n    margin-right: 0.5rem !important;\n  }\n  .me-lg-3 {\n    margin-right: 1rem !important;\n  }\n  .me-lg-4 {\n    margin-right: 1.5rem !important;\n  }\n  .me-lg-5 {\n    margin-right: 3rem !important;\n  }\n  .me-lg-auto {\n    margin-right: auto !important;\n  }\n  .mb-lg-0 {\n    margin-bottom: 0 !important;\n  }\n  .mb-lg-1 {\n    margin-bottom: 0.25rem !important;\n  }\n  .mb-lg-2 {\n    margin-bottom: 0.5rem !important;\n  }\n  .mb-lg-3 {\n    margin-bottom: 1rem !important;\n  }\n  .mb-lg-4 {\n    margin-bottom: 1.5rem !important;\n  }\n  .mb-lg-5 {\n    margin-bottom: 3rem !important;\n  }\n  .mb-lg-auto {\n    margin-bottom: auto !important;\n  }\n  .ms-lg-0 {\n    margin-left: 0 !important;\n  }\n  .ms-lg-1 {\n    margin-left: 0.25rem !important;\n  }\n  .ms-lg-2 {\n    margin-left: 0.5rem !important;\n  }\n  .ms-lg-3 {\n    margin-left: 1rem !important;\n  }\n  .ms-lg-4 {\n    margin-left: 1.5rem !important;\n  }\n  .ms-lg-5 {\n    margin-left: 3rem !important;\n  }\n  .ms-lg-auto {\n    margin-left: auto !important;\n  }\n  .p-lg-0 {\n    padding: 0 !important;\n  }\n  .p-lg-1 {\n    padding: 0.25rem !important;\n  }\n  .p-lg-2 {\n    padding: 0.5rem !important;\n  }\n  .p-lg-3 {\n    padding: 1rem !important;\n  }\n  .p-lg-4 {\n    padding: 1.5rem !important;\n  }\n  .p-lg-5 {\n    padding: 3rem !important;\n  }\n  .px-lg-0 {\n    padding-right: 0 !important;\n    padding-left: 0 !important;\n  }\n  .px-lg-1 {\n    padding-right: 0.25rem !important;\n    padding-left: 0.25rem !important;\n  }\n  .px-lg-2 {\n    padding-right: 0.5rem !important;\n    padding-left: 0.5rem !important;\n  }\n  .px-lg-3 {\n    padding-right: 1rem !important;\n    padding-left: 1rem !important;\n  }\n  .px-lg-4 {\n    padding-right: 1.5rem !important;\n    padding-left: 1.5rem !important;\n  }\n  .px-lg-5 {\n    padding-right: 3rem !important;\n    padding-left: 3rem !important;\n  }\n  .py-lg-0 {\n    padding-top: 0 !important;\n    padding-bottom: 0 !important;\n  }\n  .py-lg-1 {\n    padding-top: 0.25rem !important;\n    padding-bottom: 0.25rem !important;\n  }\n  .py-lg-2 {\n    padding-top: 0.5rem !important;\n    padding-bottom: 0.5rem !important;\n  }\n  .py-lg-3 {\n    padding-top: 1rem !important;\n    padding-bottom: 1rem !important;\n  }\n  .py-lg-4 {\n    padding-top: 1.5rem !important;\n    padding-bottom: 1.5rem !important;\n  }\n  .py-lg-5 {\n    padding-top: 3rem !important;\n    padding-bottom: 3rem !important;\n  }\n  .pt-lg-0 {\n    padding-top: 0 !important;\n  }\n  .pt-lg-1 {\n    padding-top: 0.25rem !important;\n  }\n  .pt-lg-2 {\n    padding-top: 0.5rem !important;\n  }\n  .pt-lg-3 {\n    padding-top: 1rem !important;\n  }\n  .pt-lg-4 {\n    padding-top: 1.5rem !important;\n  }\n  .pt-lg-5 {\n    padding-top: 3rem !important;\n  }\n  .pe-lg-0 {\n    padding-right: 0 !important;\n  }\n  .pe-lg-1 {\n    padding-right: 0.25rem !important;\n  }\n  .pe-lg-2 {\n    padding-right: 0.5rem !important;\n  }\n  .pe-lg-3 {\n    padding-right: 1rem !important;\n  }\n  .pe-lg-4 {\n    padding-right: 1.5rem !important;\n  }\n  .pe-lg-5 {\n    padding-right: 3rem !important;\n  }\n  .pb-lg-0 {\n    padding-bottom: 0 !important;\n  }\n  .pb-lg-1 {\n    padding-bottom: 0.25rem !important;\n  }\n  .pb-lg-2 {\n    padding-bottom: 0.5rem !important;\n  }\n  .pb-lg-3 {\n    padding-bottom: 1rem !important;\n  }\n  .pb-lg-4 {\n    padding-bottom: 1.5rem !important;\n  }\n  .pb-lg-5 {\n    padding-bottom: 3rem !important;\n  }\n  .ps-lg-0 {\n    padding-left: 0 !important;\n  }\n  .ps-lg-1 {\n    padding-left: 0.25rem !important;\n  }\n  .ps-lg-2 {\n    padding-left: 0.5rem !important;\n  }\n  .ps-lg-3 {\n    padding-left: 1rem !important;\n  }\n  .ps-lg-4 {\n    padding-left: 1.5rem !important;\n  }\n  .ps-lg-5 {\n    padding-left: 3rem !important;\n  }\n  .gap-lg-0 {\n    gap: 0 !important;\n  }\n  .gap-lg-1 {\n    gap: 0.25rem !important;\n  }\n  .gap-lg-2 {\n    gap: 0.5rem !important;\n  }\n  .gap-lg-3 {\n    gap: 1rem !important;\n  }\n  .gap-lg-4 {\n    gap: 1.5rem !important;\n  }\n  .gap-lg-5 {\n    gap: 3rem !important;\n  }\n  .row-gap-lg-0 {\n    row-gap: 0 !important;\n  }\n  .row-gap-lg-1 {\n    row-gap: 0.25rem !important;\n  }\n  .row-gap-lg-2 {\n    row-gap: 0.5rem !important;\n  }\n  .row-gap-lg-3 {\n    row-gap: 1rem !important;\n  }\n  .row-gap-lg-4 {\n    row-gap: 1.5rem !important;\n  }\n  .row-gap-lg-5 {\n    row-gap: 3rem !important;\n  }\n  .column-gap-lg-0 {\n    column-gap: 0 !important;\n  }\n  .column-gap-lg-1 {\n    column-gap: 0.25rem !important;\n  }\n  .column-gap-lg-2 {\n    column-gap: 0.5rem !important;\n  }\n  .column-gap-lg-3 {\n    column-gap: 1rem !important;\n  }\n  .column-gap-lg-4 {\n    column-gap: 1.5rem !important;\n  }\n  .column-gap-lg-5 {\n    column-gap: 3rem !important;\n  }\n  .text-lg-start {\n    text-align: left !important;\n  }\n  .text-lg-end {\n    text-align: right !important;\n  }\n  .text-lg-center {\n    text-align: center !important;\n  }\n}\n@media (min-width: 1200px) {\n  .float-xl-start {\n    float: left !important;\n  }\n  .float-xl-end {\n    float: right !important;\n  }\n  .float-xl-none {\n    float: none !important;\n  }\n  .object-fit-xl-contain {\n    object-fit: contain !important;\n  }\n  .object-fit-xl-cover {\n    object-fit: cover !important;\n  }\n  .object-fit-xl-fill {\n    object-fit: fill !important;\n  }\n  .object-fit-xl-scale {\n    object-fit: scale-down !important;\n  }\n  .object-fit-xl-none {\n    object-fit: none !important;\n  }\n  .d-xl-inline {\n    display: inline !important;\n  }\n  .d-xl-inline-block {\n    display: inline-block !important;\n  }\n  .d-xl-block {\n    display: block !important;\n  }\n  .d-xl-grid {\n    display: grid !important;\n  }\n  .d-xl-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-xl-table {\n    display: table !important;\n  }\n  .d-xl-table-row {\n    display: table-row !important;\n  }\n  .d-xl-table-cell {\n    display: table-cell !important;\n  }\n  .d-xl-flex {\n    display: flex !important;\n  }\n  .d-xl-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-xl-none {\n    display: none !important;\n  }\n  .flex-xl-fill {\n    flex: 1 1 auto !important;\n  }\n  .flex-xl-row {\n    flex-direction: row !important;\n  }\n  .flex-xl-column {\n    flex-direction: column !important;\n  }\n  .flex-xl-row-reverse {\n    flex-direction: row-reverse !important;\n  }\n  .flex-xl-column-reverse {\n    flex-direction: column-reverse !important;\n  }\n  .flex-xl-grow-0 {\n    flex-grow: 0 !important;\n  }\n  .flex-xl-grow-1 {\n    flex-grow: 1 !important;\n  }\n  .flex-xl-shrink-0 {\n    flex-shrink: 0 !important;\n  }\n  .flex-xl-shrink-1 {\n    flex-shrink: 1 !important;\n  }\n  .flex-xl-wrap {\n    flex-wrap: wrap !important;\n  }\n  .flex-xl-nowrap {\n    flex-wrap: nowrap !important;\n  }\n  .flex-xl-wrap-reverse {\n    flex-wrap: wrap-reverse !important;\n  }\n  .justify-content-xl-start {\n    justify-content: flex-start !important;\n  }\n  .justify-content-xl-end {\n    justify-content: flex-end !important;\n  }\n  .justify-content-xl-center {\n    justify-content: center !important;\n  }\n  .justify-content-xl-between {\n    justify-content: space-between !important;\n  }\n  .justify-content-xl-around {\n    justify-content: space-around !important;\n  }\n  .justify-content-xl-evenly {\n    justify-content: space-evenly !important;\n  }\n  .align-items-xl-start {\n    align-items: flex-start !important;\n  }\n  .align-items-xl-end {\n    align-items: flex-end !important;\n  }\n  .align-items-xl-center {\n    align-items: center !important;\n  }\n  .align-items-xl-baseline {\n    align-items: baseline !important;\n  }\n  .align-items-xl-stretch {\n    align-items: stretch !important;\n  }\n  .align-content-xl-start {\n    align-content: flex-start !important;\n  }\n  .align-content-xl-end {\n    align-content: flex-end !important;\n  }\n  .align-content-xl-center {\n    align-content: center !important;\n  }\n  .align-content-xl-between {\n    align-content: space-between !important;\n  }\n  .align-content-xl-around {\n    align-content: space-around !important;\n  }\n  .align-content-xl-stretch {\n    align-content: stretch !important;\n  }\n  .align-self-xl-auto {\n    align-self: auto !important;\n  }\n  .align-self-xl-start {\n    align-self: flex-start !important;\n  }\n  .align-self-xl-end {\n    align-self: flex-end !important;\n  }\n  .align-self-xl-center {\n    align-self: center !important;\n  }\n  .align-self-xl-baseline {\n    align-self: baseline !important;\n  }\n  .align-self-xl-stretch {\n    align-self: stretch !important;\n  }\n  .order-xl-first {\n    order: -1 !important;\n  }\n  .order-xl-0 {\n    order: 0 !important;\n  }\n  .order-xl-1 {\n    order: 1 !important;\n  }\n  .order-xl-2 {\n    order: 2 !important;\n  }\n  .order-xl-3 {\n    order: 3 !important;\n  }\n  .order-xl-4 {\n    order: 4 !important;\n  }\n  .order-xl-5 {\n    order: 5 !important;\n  }\n  .order-xl-last {\n    order: 6 !important;\n  }\n  .m-xl-0 {\n    margin: 0 !important;\n  }\n  .m-xl-1 {\n    margin: 0.25rem !important;\n  }\n  .m-xl-2 {\n    margin: 0.5rem !important;\n  }\n  .m-xl-3 {\n    margin: 1rem !important;\n  }\n  .m-xl-4 {\n    margin: 1.5rem !important;\n  }\n  .m-xl-5 {\n    margin: 3rem !important;\n  }\n  .m-xl-auto {\n    margin: auto !important;\n  }\n  .mx-xl-0 {\n    margin-right: 0 !important;\n    margin-left: 0 !important;\n  }\n  .mx-xl-1 {\n    margin-right: 0.25rem !important;\n    margin-left: 0.25rem !important;\n  }\n  .mx-xl-2 {\n    margin-right: 0.5rem !important;\n    margin-left: 0.5rem !important;\n  }\n  .mx-xl-3 {\n    margin-right: 1rem !important;\n    margin-left: 1rem !important;\n  }\n  .mx-xl-4 {\n    margin-right: 1.5rem !important;\n    margin-left: 1.5rem !important;\n  }\n  .mx-xl-5 {\n    margin-right: 3rem !important;\n    margin-left: 3rem !important;\n  }\n  .mx-xl-auto {\n    margin-right: auto !important;\n    margin-left: auto !important;\n  }\n  .my-xl-0 {\n    margin-top: 0 !important;\n    margin-bottom: 0 !important;\n  }\n  .my-xl-1 {\n    margin-top: 0.25rem !important;\n    margin-bottom: 0.25rem !important;\n  }\n  .my-xl-2 {\n    margin-top: 0.5rem !important;\n    margin-bottom: 0.5rem !important;\n  }\n  .my-xl-3 {\n    margin-top: 1rem !important;\n    margin-bottom: 1rem !important;\n  }\n  .my-xl-4 {\n    margin-top: 1.5rem !important;\n    margin-bottom: 1.5rem !important;\n  }\n  .my-xl-5 {\n    margin-top: 3rem !important;\n    margin-bottom: 3rem !important;\n  }\n  .my-xl-auto {\n    margin-top: auto !important;\n    margin-bottom: auto !important;\n  }\n  .mt-xl-0 {\n    margin-top: 0 !important;\n  }\n  .mt-xl-1 {\n    margin-top: 0.25rem !important;\n  }\n  .mt-xl-2 {\n    margin-top: 0.5rem !important;\n  }\n  .mt-xl-3 {\n    margin-top: 1rem !important;\n  }\n  .mt-xl-4 {\n    margin-top: 1.5rem !important;\n  }\n  .mt-xl-5 {\n    margin-top: 3rem !important;\n  }\n  .mt-xl-auto {\n    margin-top: auto !important;\n  }\n  .me-xl-0 {\n    margin-right: 0 !important;\n  }\n  .me-xl-1 {\n    margin-right: 0.25rem !important;\n  }\n  .me-xl-2 {\n    margin-right: 0.5rem !important;\n  }\n  .me-xl-3 {\n    margin-right: 1rem !important;\n  }\n  .me-xl-4 {\n    margin-right: 1.5rem !important;\n  }\n  .me-xl-5 {\n    margin-right: 3rem !important;\n  }\n  .me-xl-auto {\n    margin-right: auto !important;\n  }\n  .mb-xl-0 {\n    margin-bottom: 0 !important;\n  }\n  .mb-xl-1 {\n    margin-bottom: 0.25rem !important;\n  }\n  .mb-xl-2 {\n    margin-bottom: 0.5rem !important;\n  }\n  .mb-xl-3 {\n    margin-bottom: 1rem !important;\n  }\n  .mb-xl-4 {\n    margin-bottom: 1.5rem !important;\n  }\n  .mb-xl-5 {\n    margin-bottom: 3rem !important;\n  }\n  .mb-xl-auto {\n    margin-bottom: auto !important;\n  }\n  .ms-xl-0 {\n    margin-left: 0 !important;\n  }\n  .ms-xl-1 {\n    margin-left: 0.25rem !important;\n  }\n  .ms-xl-2 {\n    margin-left: 0.5rem !important;\n  }\n  .ms-xl-3 {\n    margin-left: 1rem !important;\n  }\n  .ms-xl-4 {\n    margin-left: 1.5rem !important;\n  }\n  .ms-xl-5 {\n    margin-left: 3rem !important;\n  }\n  .ms-xl-auto {\n    margin-left: auto !important;\n  }\n  .p-xl-0 {\n    padding: 0 !important;\n  }\n  .p-xl-1 {\n    padding: 0.25rem !important;\n  }\n  .p-xl-2 {\n    padding: 0.5rem !important;\n  }\n  .p-xl-3 {\n    padding: 1rem !important;\n  }\n  .p-xl-4 {\n    padding: 1.5rem !important;\n  }\n  .p-xl-5 {\n    padding: 3rem !important;\n  }\n  .px-xl-0 {\n    padding-right: 0 !important;\n    padding-left: 0 !important;\n  }\n  .px-xl-1 {\n    padding-right: 0.25rem !important;\n    padding-left: 0.25rem !important;\n  }\n  .px-xl-2 {\n    padding-right: 0.5rem !important;\n    padding-left: 0.5rem !important;\n  }\n  .px-xl-3 {\n    padding-right: 1rem !important;\n    padding-left: 1rem !important;\n  }\n  .px-xl-4 {\n    padding-right: 1.5rem !important;\n    padding-left: 1.5rem !important;\n  }\n  .px-xl-5 {\n    padding-right: 3rem !important;\n    padding-left: 3rem !important;\n  }\n  .py-xl-0 {\n    padding-top: 0 !important;\n    padding-bottom: 0 !important;\n  }\n  .py-xl-1 {\n    padding-top: 0.25rem !important;\n    padding-bottom: 0.25rem !important;\n  }\n  .py-xl-2 {\n    padding-top: 0.5rem !important;\n    padding-bottom: 0.5rem !important;\n  }\n  .py-xl-3 {\n    padding-top: 1rem !important;\n    padding-bottom: 1rem !important;\n  }\n  .py-xl-4 {\n    padding-top: 1.5rem !important;\n    padding-bottom: 1.5rem !important;\n  }\n  .py-xl-5 {\n    padding-top: 3rem !important;\n    padding-bottom: 3rem !important;\n  }\n  .pt-xl-0 {\n    padding-top: 0 !important;\n  }\n  .pt-xl-1 {\n    padding-top: 0.25rem !important;\n  }\n  .pt-xl-2 {\n    padding-top: 0.5rem !important;\n  }\n  .pt-xl-3 {\n    padding-top: 1rem !important;\n  }\n  .pt-xl-4 {\n    padding-top: 1.5rem !important;\n  }\n  .pt-xl-5 {\n    padding-top: 3rem !important;\n  }\n  .pe-xl-0 {\n    padding-right: 0 !important;\n  }\n  .pe-xl-1 {\n    padding-right: 0.25rem !important;\n  }\n  .pe-xl-2 {\n    padding-right: 0.5rem !important;\n  }\n  .pe-xl-3 {\n    padding-right: 1rem !important;\n  }\n  .pe-xl-4 {\n    padding-right: 1.5rem !important;\n  }\n  .pe-xl-5 {\n    padding-right: 3rem !important;\n  }\n  .pb-xl-0 {\n    padding-bottom: 0 !important;\n  }\n  .pb-xl-1 {\n    padding-bottom: 0.25rem !important;\n  }\n  .pb-xl-2 {\n    padding-bottom: 0.5rem !important;\n  }\n  .pb-xl-3 {\n    padding-bottom: 1rem !important;\n  }\n  .pb-xl-4 {\n    padding-bottom: 1.5rem !important;\n  }\n  .pb-xl-5 {\n    padding-bottom: 3rem !important;\n  }\n  .ps-xl-0 {\n    padding-left: 0 !important;\n  }\n  .ps-xl-1 {\n    padding-left: 0.25rem !important;\n  }\n  .ps-xl-2 {\n    padding-left: 0.5rem !important;\n  }\n  .ps-xl-3 {\n    padding-left: 1rem !important;\n  }\n  .ps-xl-4 {\n    padding-left: 1.5rem !important;\n  }\n  .ps-xl-5 {\n    padding-left: 3rem !important;\n  }\n  .gap-xl-0 {\n    gap: 0 !important;\n  }\n  .gap-xl-1 {\n    gap: 0.25rem !important;\n  }\n  .gap-xl-2 {\n    gap: 0.5rem !important;\n  }\n  .gap-xl-3 {\n    gap: 1rem !important;\n  }\n  .gap-xl-4 {\n    gap: 1.5rem !important;\n  }\n  .gap-xl-5 {\n    gap: 3rem !important;\n  }\n  .row-gap-xl-0 {\n    row-gap: 0 !important;\n  }\n  .row-gap-xl-1 {\n    row-gap: 0.25rem !important;\n  }\n  .row-gap-xl-2 {\n    row-gap: 0.5rem !important;\n  }\n  .row-gap-xl-3 {\n    row-gap: 1rem !important;\n  }\n  .row-gap-xl-4 {\n    row-gap: 1.5rem !important;\n  }\n  .row-gap-xl-5 {\n    row-gap: 3rem !important;\n  }\n  .column-gap-xl-0 {\n    column-gap: 0 !important;\n  }\n  .column-gap-xl-1 {\n    column-gap: 0.25rem !important;\n  }\n  .column-gap-xl-2 {\n    column-gap: 0.5rem !important;\n  }\n  .column-gap-xl-3 {\n    column-gap: 1rem !important;\n  }\n  .column-gap-xl-4 {\n    column-gap: 1.5rem !important;\n  }\n  .column-gap-xl-5 {\n    column-gap: 3rem !important;\n  }\n  .text-xl-start {\n    text-align: left !important;\n  }\n  .text-xl-end {\n    text-align: right !important;\n  }\n  .text-xl-center {\n    text-align: center !important;\n  }\n}\n@media (min-width: 1200px) {\n  .fs-1 {\n    font-size: 2.5rem !important;\n  }\n  .fs-2 {\n    font-size: 2rem !important;\n  }\n  .fs-3 {\n    font-size: 1.75rem !important;\n  }\n  .fs-4 {\n    font-size: 1.5rem !important;\n  }\n}\n@media print {\n  .d-print-inline {\n    display: inline !important;\n  }\n  .d-print-inline-block {\n    display: inline-block !important;\n  }\n  .d-print-block {\n    display: block !important;\n  }\n  .d-print-grid {\n    display: grid !important;\n  }\n  .d-print-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-print-table {\n    display: table !important;\n  }\n  .d-print-table-row {\n    display: table-row !important;\n  }\n  .d-print-table-cell {\n    display: table-cell !important;\n  }\n  .d-print-flex {\n    display: flex !important;\n  }\n  .d-print-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-print-none {\n    display: none !important;\n  }\n}\n/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n.fa {\n  font-family: var(--fa-style-family, \"Font Awesome 6 Free\");\n  font-weight: var(--fa-style, 900);\n}\n\n.fa,\n.fa-classic,\n.fa-sharp,\n.fas,\n.fa-solid,\n.far,\n.fa-regular,\n.fab,\n.fa-brands {\n  -moz-osx-font-smoothing: grayscale;\n  -webkit-font-smoothing: antialiased;\n  display: var(--fa-display, inline-block);\n  font-style: normal;\n  font-variant: normal;\n  line-height: 1;\n  text-rendering: auto;\n}\n\n.fas,\n.fa-classic,\n.fa-solid,\n.far,\n.fa-regular {\n  font-family: \"Font Awesome 6 Free\";\n}\n\n.fab,\n.fa-brands {\n  font-family: \"Font Awesome 6 Brands\";\n}\n\n.fa-1x {\n  font-size: 1em;\n}\n\n.fa-2x {\n  font-size: 2em;\n}\n\n.fa-3x {\n  font-size: 3em;\n}\n\n.fa-4x {\n  font-size: 4em;\n}\n\n.fa-5x {\n  font-size: 5em;\n}\n\n.fa-6x {\n  font-size: 6em;\n}\n\n.fa-7x {\n  font-size: 7em;\n}\n\n.fa-8x {\n  font-size: 8em;\n}\n\n.fa-9x {\n  font-size: 9em;\n}\n\n.fa-10x {\n  font-size: 10em;\n}\n\n.fa-2xs {\n  font-size: 0.625em;\n  line-height: 0.1em;\n  vertical-align: 0.225em;\n}\n\n.fa-xs {\n  font-size: 0.75em;\n  line-height: 0.0833333337em;\n  vertical-align: 0.125em;\n}\n\n.fa-sm {\n  font-size: 0.875em;\n  line-height: 0.0714285718em;\n  vertical-align: 0.0535714295em;\n}\n\n.fa-lg {\n  font-size: 1.25em;\n  line-height: 0.05em;\n  vertical-align: -0.075em;\n}\n\n.fa-xl {\n  font-size: 1.5em;\n  line-height: 0.0416666682em;\n  vertical-align: -0.125em;\n}\n\n.fa-2xl {\n  font-size: 2em;\n  line-height: 0.03125em;\n  vertical-align: -0.1875em;\n}\n\n.fa-fw {\n  text-align: center;\n  width: 1.25em;\n}\n\n.fa-ul {\n  list-style-type: none;\n  margin-left: var(--fa-li-margin, 2.5em);\n  padding-left: 0;\n}\n.fa-ul > li {\n  position: relative;\n}\n\n.fa-li {\n  left: calc(var(--fa-li-width, 2em) * -1);\n  position: absolute;\n  text-align: center;\n  width: var(--fa-li-width, 2em);\n  line-height: inherit;\n}\n\n.fa-border {\n  border-color: var(--fa-border-color, #eee);\n  border-radius: var(--fa-border-radius, 0.1em);\n  border-style: var(--fa-border-style, solid);\n  border-width: var(--fa-border-width, 0.08em);\n  padding: var(--fa-border-padding, 0.2em 0.25em 0.15em);\n}\n\n.fa-pull-left {\n  float: left;\n  margin-right: var(--fa-pull-margin, 0.3em);\n}\n\n.fa-pull-right {\n  float: right;\n  margin-left: var(--fa-pull-margin, 0.3em);\n}\n\n.fa-beat {\n  animation-name: fa-beat;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, ease-in-out);\n}\n\n.fa-bounce {\n  animation-name: fa-bounce;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1));\n}\n\n.fa-fade {\n  animation-name: fa-fade;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));\n}\n\n.fa-beat-fade {\n  animation-name: fa-beat-fade;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));\n}\n\n.fa-flip {\n  animation-name: fa-flip;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, ease-in-out);\n}\n\n.fa-shake {\n  animation-name: fa-shake;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, linear);\n}\n\n.fa-spin {\n  animation-name: fa-spin;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 2s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, linear);\n}\n\n.fa-spin-reverse {\n  --fa-animation-direction: reverse;\n}\n\n.fa-pulse,\n.fa-spin-pulse {\n  animation-name: fa-spin;\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, steps(8));\n}\n\n@media (prefers-reduced-motion: reduce) {\n  .fa-beat,\n  .fa-bounce,\n  .fa-fade,\n  .fa-beat-fade,\n  .fa-flip,\n  .fa-pulse,\n  .fa-shake,\n  .fa-spin,\n  .fa-spin-pulse {\n    animation-delay: -1ms;\n    animation-duration: 1ms;\n    animation-iteration-count: 1;\n    transition-delay: 0s;\n    transition-duration: 0s;\n  }\n}\n@keyframes fa-beat {\n  0%, 90% {\n    transform: scale(1);\n  }\n  45% {\n    transform: scale(var(--fa-beat-scale, 1.25));\n  }\n}\n@keyframes fa-bounce {\n  0% {\n    transform: scale(1, 1) translateY(0);\n  }\n  10% {\n    transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);\n  }\n  30% {\n    transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));\n  }\n  50% {\n    transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);\n  }\n  57% {\n    transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));\n  }\n  64% {\n    transform: scale(1, 1) translateY(0);\n  }\n  100% {\n    transform: scale(1, 1) translateY(0);\n  }\n}\n@keyframes fa-fade {\n  50% {\n    opacity: var(--fa-fade-opacity, 0.4);\n  }\n}\n@keyframes fa-beat-fade {\n  0%, 100% {\n    opacity: var(--fa-beat-fade-opacity, 0.4);\n    transform: scale(1);\n  }\n  50% {\n    opacity: 1;\n    transform: scale(var(--fa-beat-fade-scale, 1.125));\n  }\n}\n@keyframes fa-flip {\n  50% {\n    transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));\n  }\n}\n@keyframes fa-shake {\n  0% {\n    transform: rotate(-15deg);\n  }\n  4% {\n    transform: rotate(15deg);\n  }\n  8%, 24% {\n    transform: rotate(-18deg);\n  }\n  12%, 28% {\n    transform: rotate(18deg);\n  }\n  16% {\n    transform: rotate(-22deg);\n  }\n  20% {\n    transform: rotate(22deg);\n  }\n  32% {\n    transform: rotate(-12deg);\n  }\n  36% {\n    transform: rotate(12deg);\n  }\n  40%, 100% {\n    transform: rotate(0deg);\n  }\n}\n@keyframes fa-spin {\n  0% {\n    transform: rotate(0deg);\n  }\n  100% {\n    transform: rotate(360deg);\n  }\n}\n.fa-rotate-90 {\n  transform: rotate(90deg);\n}\n\n.fa-rotate-180 {\n  transform: rotate(180deg);\n}\n\n.fa-rotate-270 {\n  transform: rotate(270deg);\n}\n\n.fa-flip-horizontal {\n  transform: scale(-1, 1);\n}\n\n.fa-flip-vertical {\n  transform: scale(1, -1);\n}\n\n.fa-flip-both,\n.fa-flip-horizontal.fa-flip-vertical {\n  transform: scale(-1, -1);\n}\n\n.fa-rotate-by {\n  transform: rotate(var(--fa-rotate-angle, 0));\n}\n\n.fa-stack {\n  display: inline-block;\n  height: 2em;\n  line-height: 2em;\n  position: relative;\n  vertical-align: middle;\n  width: 2.5em;\n}\n\n.fa-stack-1x,\n.fa-stack-2x {\n  left: 0;\n  position: absolute;\n  text-align: center;\n  width: 100%;\n  z-index: var(--fa-stack-z-index, auto);\n}\n\n.fa-stack-1x {\n  line-height: inherit;\n}\n\n.fa-stack-2x {\n  font-size: 2em;\n}\n\n.fa-inverse {\n  color: var(--fa-inverse, #fff);\n}\n\n/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen\nreaders do not read off random characters that represent icons */\n.fa-0::before {\n  content: \"\\30 \";\n}\n\n.fa-1::before {\n  content: \"\\31 \";\n}\n\n.fa-2::before {\n  content: \"\\32 \";\n}\n\n.fa-3::before {\n  content: \"\\33 \";\n}\n\n.fa-4::before {\n  content: \"\\34 \";\n}\n\n.fa-5::before {\n  content: \"\\35 \";\n}\n\n.fa-6::before {\n  content: \"\\36 \";\n}\n\n.fa-7::before {\n  content: \"\\37 \";\n}\n\n.fa-8::before {\n  content: \"\\38 \";\n}\n\n.fa-9::before {\n  content: \"\\39 \";\n}\n\n.fa-fill-drip::before {\n  content: \"\\f576\";\n}\n\n.fa-arrows-to-circle::before {\n  content: \"\\e4bd\";\n}\n\n.fa-circle-chevron-right::before {\n  content: \"\\f138\";\n}\n\n.fa-chevron-circle-right::before {\n  content: \"\\f138\";\n}\n\n.fa-at::before {\n  content: \"\\@\";\n}\n\n.fa-trash-can::before {\n  content: \"\\f2ed\";\n}\n\n.fa-trash-alt::before {\n  content: \"\\f2ed\";\n}\n\n.fa-text-height::before {\n  content: \"\\f034\";\n}\n\n.fa-user-xmark::before {\n  content: \"\\f235\";\n}\n\n.fa-user-times::before {\n  content: \"\\f235\";\n}\n\n.fa-stethoscope::before {\n  content: \"\\f0f1\";\n}\n\n.fa-message::before {\n  content: \"\\f27a\";\n}\n\n.fa-comment-alt::before {\n  content: \"\\f27a\";\n}\n\n.fa-info::before {\n  content: \"\\f129\";\n}\n\n.fa-down-left-and-up-right-to-center::before {\n  content: \"\\f422\";\n}\n\n.fa-compress-alt::before {\n  content: \"\\f422\";\n}\n\n.fa-explosion::before {\n  content: \"\\e4e9\";\n}\n\n.fa-file-lines::before {\n  content: \"\\f15c\";\n}\n\n.fa-file-alt::before {\n  content: \"\\f15c\";\n}\n\n.fa-file-text::before {\n  content: \"\\f15c\";\n}\n\n.fa-wave-square::before {\n  content: \"\\f83e\";\n}\n\n.fa-ring::before {\n  content: \"\\f70b\";\n}\n\n.fa-building-un::before {\n  content: \"\\e4d9\";\n}\n\n.fa-dice-three::before {\n  content: \"\\f527\";\n}\n\n.fa-calendar-days::before {\n  content: \"\\f073\";\n}\n\n.fa-calendar-alt::before {\n  content: \"\\f073\";\n}\n\n.fa-anchor-circle-check::before {\n  content: \"\\e4aa\";\n}\n\n.fa-building-circle-arrow-right::before {\n  content: \"\\e4d1\";\n}\n\n.fa-volleyball::before {\n  content: \"\\f45f\";\n}\n\n.fa-volleyball-ball::before {\n  content: \"\\f45f\";\n}\n\n.fa-arrows-up-to-line::before {\n  content: \"\\e4c2\";\n}\n\n.fa-sort-down::before {\n  content: \"\\f0dd\";\n}\n\n.fa-sort-desc::before {\n  content: \"\\f0dd\";\n}\n\n.fa-circle-minus::before {\n  content: \"\\f056\";\n}\n\n.fa-minus-circle::before {\n  content: \"\\f056\";\n}\n\n.fa-door-open::before {\n  content: \"\\f52b\";\n}\n\n.fa-right-from-bracket::before {\n  content: \"\\f2f5\";\n}\n\n.fa-sign-out-alt::before {\n  content: \"\\f2f5\";\n}\n\n.fa-atom::before {\n  content: \"\\f5d2\";\n}\n\n.fa-soap::before {\n  content: \"\\e06e\";\n}\n\n.fa-icons::before {\n  content: \"\\f86d\";\n}\n\n.fa-heart-music-camera-bolt::before {\n  content: \"\\f86d\";\n}\n\n.fa-microphone-lines-slash::before {\n  content: \"\\f539\";\n}\n\n.fa-microphone-alt-slash::before {\n  content: \"\\f539\";\n}\n\n.fa-bridge-circle-check::before {\n  content: \"\\e4c9\";\n}\n\n.fa-pump-medical::before {\n  content: \"\\e06a\";\n}\n\n.fa-fingerprint::before {\n  content: \"\\f577\";\n}\n\n.fa-hand-point-right::before {\n  content: \"\\f0a4\";\n}\n\n.fa-magnifying-glass-location::before {\n  content: \"\\f689\";\n}\n\n.fa-search-location::before {\n  content: \"\\f689\";\n}\n\n.fa-forward-step::before {\n  content: \"\\f051\";\n}\n\n.fa-step-forward::before {\n  content: \"\\f051\";\n}\n\n.fa-face-smile-beam::before {\n  content: \"\\f5b8\";\n}\n\n.fa-smile-beam::before {\n  content: \"\\f5b8\";\n}\n\n.fa-flag-checkered::before {\n  content: \"\\f11e\";\n}\n\n.fa-football::before {\n  content: \"\\f44e\";\n}\n\n.fa-football-ball::before {\n  content: \"\\f44e\";\n}\n\n.fa-school-circle-exclamation::before {\n  content: \"\\e56c\";\n}\n\n.fa-crop::before {\n  content: \"\\f125\";\n}\n\n.fa-angles-down::before {\n  content: \"\\f103\";\n}\n\n.fa-angle-double-down::before {\n  content: \"\\f103\";\n}\n\n.fa-users-rectangle::before {\n  content: \"\\e594\";\n}\n\n.fa-people-roof::before {\n  content: \"\\e537\";\n}\n\n.fa-people-line::before {\n  content: \"\\e534\";\n}\n\n.fa-beer-mug-empty::before {\n  content: \"\\f0fc\";\n}\n\n.fa-beer::before {\n  content: \"\\f0fc\";\n}\n\n.fa-diagram-predecessor::before {\n  content: \"\\e477\";\n}\n\n.fa-arrow-up-long::before {\n  content: \"\\f176\";\n}\n\n.fa-long-arrow-up::before {\n  content: \"\\f176\";\n}\n\n.fa-fire-flame-simple::before {\n  content: \"\\f46a\";\n}\n\n.fa-burn::before {\n  content: \"\\f46a\";\n}\n\n.fa-person::before {\n  content: \"\\f183\";\n}\n\n.fa-male::before {\n  content: \"\\f183\";\n}\n\n.fa-laptop::before {\n  content: \"\\f109\";\n}\n\n.fa-file-csv::before {\n  content: \"\\f6dd\";\n}\n\n.fa-menorah::before {\n  content: \"\\f676\";\n}\n\n.fa-truck-plane::before {\n  content: \"\\e58f\";\n}\n\n.fa-record-vinyl::before {\n  content: \"\\f8d9\";\n}\n\n.fa-face-grin-stars::before {\n  content: \"\\f587\";\n}\n\n.fa-grin-stars::before {\n  content: \"\\f587\";\n}\n\n.fa-bong::before {\n  content: \"\\f55c\";\n}\n\n.fa-spaghetti-monster-flying::before {\n  content: \"\\f67b\";\n}\n\n.fa-pastafarianism::before {\n  content: \"\\f67b\";\n}\n\n.fa-arrow-down-up-across-line::before {\n  content: \"\\e4af\";\n}\n\n.fa-spoon::before {\n  content: \"\\f2e5\";\n}\n\n.fa-utensil-spoon::before {\n  content: \"\\f2e5\";\n}\n\n.fa-jar-wheat::before {\n  content: \"\\e517\";\n}\n\n.fa-envelopes-bulk::before {\n  content: \"\\f674\";\n}\n\n.fa-mail-bulk::before {\n  content: \"\\f674\";\n}\n\n.fa-file-circle-exclamation::before {\n  content: \"\\e4eb\";\n}\n\n.fa-circle-h::before {\n  content: \"\\f47e\";\n}\n\n.fa-hospital-symbol::before {\n  content: \"\\f47e\";\n}\n\n.fa-pager::before {\n  content: \"\\f815\";\n}\n\n.fa-address-book::before {\n  content: \"\\f2b9\";\n}\n\n.fa-contact-book::before {\n  content: \"\\f2b9\";\n}\n\n.fa-strikethrough::before {\n  content: \"\\f0cc\";\n}\n\n.fa-k::before {\n  content: \"K\";\n}\n\n.fa-landmark-flag::before {\n  content: \"\\e51c\";\n}\n\n.fa-pencil::before {\n  content: \"\\f303\";\n}\n\n.fa-pencil-alt::before {\n  content: \"\\f303\";\n}\n\n.fa-backward::before {\n  content: \"\\f04a\";\n}\n\n.fa-caret-right::before {\n  content: \"\\f0da\";\n}\n\n.fa-comments::before {\n  content: \"\\f086\";\n}\n\n.fa-paste::before {\n  content: \"\\f0ea\";\n}\n\n.fa-file-clipboard::before {\n  content: \"\\f0ea\";\n}\n\n.fa-code-pull-request::before {\n  content: \"\\e13c\";\n}\n\n.fa-clipboard-list::before {\n  content: \"\\f46d\";\n}\n\n.fa-truck-ramp-box::before {\n  content: \"\\f4de\";\n}\n\n.fa-truck-loading::before {\n  content: \"\\f4de\";\n}\n\n.fa-user-check::before {\n  content: \"\\f4fc\";\n}\n\n.fa-vial-virus::before {\n  content: \"\\e597\";\n}\n\n.fa-sheet-plastic::before {\n  content: \"\\e571\";\n}\n\n.fa-blog::before {\n  content: \"\\f781\";\n}\n\n.fa-user-ninja::before {\n  content: \"\\f504\";\n}\n\n.fa-person-arrow-up-from-line::before {\n  content: \"\\e539\";\n}\n\n.fa-scroll-torah::before {\n  content: \"\\f6a0\";\n}\n\n.fa-torah::before {\n  content: \"\\f6a0\";\n}\n\n.fa-broom-ball::before {\n  content: \"\\f458\";\n}\n\n.fa-quidditch::before {\n  content: \"\\f458\";\n}\n\n.fa-quidditch-broom-ball::before {\n  content: \"\\f458\";\n}\n\n.fa-toggle-off::before {\n  content: \"\\f204\";\n}\n\n.fa-box-archive::before {\n  content: \"\\f187\";\n}\n\n.fa-archive::before {\n  content: \"\\f187\";\n}\n\n.fa-person-drowning::before {\n  content: \"\\e545\";\n}\n\n.fa-arrow-down-9-1::before {\n  content: \"\\f886\";\n}\n\n.fa-sort-numeric-desc::before {\n  content: \"\\f886\";\n}\n\n.fa-sort-numeric-down-alt::before {\n  content: \"\\f886\";\n}\n\n.fa-face-grin-tongue-squint::before {\n  content: \"\\f58a\";\n}\n\n.fa-grin-tongue-squint::before {\n  content: \"\\f58a\";\n}\n\n.fa-spray-can::before {\n  content: \"\\f5bd\";\n}\n\n.fa-truck-monster::before {\n  content: \"\\f63b\";\n}\n\n.fa-w::before {\n  content: \"W\";\n}\n\n.fa-earth-africa::before {\n  content: \"\\f57c\";\n}\n\n.fa-globe-africa::before {\n  content: \"\\f57c\";\n}\n\n.fa-rainbow::before {\n  content: \"\\f75b\";\n}\n\n.fa-circle-notch::before {\n  content: \"\\f1ce\";\n}\n\n.fa-tablet-screen-button::before {\n  content: \"\\f3fa\";\n}\n\n.fa-tablet-alt::before {\n  content: \"\\f3fa\";\n}\n\n.fa-paw::before {\n  content: \"\\f1b0\";\n}\n\n.fa-cloud::before {\n  content: \"\\f0c2\";\n}\n\n.fa-trowel-bricks::before {\n  content: \"\\e58a\";\n}\n\n.fa-face-flushed::before {\n  content: \"\\f579\";\n}\n\n.fa-flushed::before {\n  content: \"\\f579\";\n}\n\n.fa-hospital-user::before {\n  content: \"\\f80d\";\n}\n\n.fa-tent-arrow-left-right::before {\n  content: \"\\e57f\";\n}\n\n.fa-gavel::before {\n  content: \"\\f0e3\";\n}\n\n.fa-legal::before {\n  content: \"\\f0e3\";\n}\n\n.fa-binoculars::before {\n  content: \"\\f1e5\";\n}\n\n.fa-microphone-slash::before {\n  content: \"\\f131\";\n}\n\n.fa-box-tissue::before {\n  content: \"\\e05b\";\n}\n\n.fa-motorcycle::before {\n  content: \"\\f21c\";\n}\n\n.fa-bell-concierge::before {\n  content: \"\\f562\";\n}\n\n.fa-concierge-bell::before {\n  content: \"\\f562\";\n}\n\n.fa-pen-ruler::before {\n  content: \"\\f5ae\";\n}\n\n.fa-pencil-ruler::before {\n  content: \"\\f5ae\";\n}\n\n.fa-people-arrows::before {\n  content: \"\\e068\";\n}\n\n.fa-people-arrows-left-right::before {\n  content: \"\\e068\";\n}\n\n.fa-mars-and-venus-burst::before {\n  content: \"\\e523\";\n}\n\n.fa-square-caret-right::before {\n  content: \"\\f152\";\n}\n\n.fa-caret-square-right::before {\n  content: \"\\f152\";\n}\n\n.fa-scissors::before {\n  content: \"\\f0c4\";\n}\n\n.fa-cut::before {\n  content: \"\\f0c4\";\n}\n\n.fa-sun-plant-wilt::before {\n  content: \"\\e57a\";\n}\n\n.fa-toilets-portable::before {\n  content: \"\\e584\";\n}\n\n.fa-hockey-puck::before {\n  content: \"\\f453\";\n}\n\n.fa-table::before {\n  content: \"\\f0ce\";\n}\n\n.fa-magnifying-glass-arrow-right::before {\n  content: \"\\e521\";\n}\n\n.fa-tachograph-digital::before {\n  content: \"\\f566\";\n}\n\n.fa-digital-tachograph::before {\n  content: \"\\f566\";\n}\n\n.fa-users-slash::before {\n  content: \"\\e073\";\n}\n\n.fa-clover::before {\n  content: \"\\e139\";\n}\n\n.fa-reply::before {\n  content: \"\\f3e5\";\n}\n\n.fa-mail-reply::before {\n  content: \"\\f3e5\";\n}\n\n.fa-star-and-crescent::before {\n  content: \"\\f699\";\n}\n\n.fa-house-fire::before {\n  content: \"\\e50c\";\n}\n\n.fa-square-minus::before {\n  content: \"\\f146\";\n}\n\n.fa-minus-square::before {\n  content: \"\\f146\";\n}\n\n.fa-helicopter::before {\n  content: \"\\f533\";\n}\n\n.fa-compass::before {\n  content: \"\\f14e\";\n}\n\n.fa-square-caret-down::before {\n  content: \"\\f150\";\n}\n\n.fa-caret-square-down::before {\n  content: \"\\f150\";\n}\n\n.fa-file-circle-question::before {\n  content: \"\\e4ef\";\n}\n\n.fa-laptop-code::before {\n  content: \"\\f5fc\";\n}\n\n.fa-swatchbook::before {\n  content: \"\\f5c3\";\n}\n\n.fa-prescription-bottle::before {\n  content: \"\\f485\";\n}\n\n.fa-bars::before {\n  content: \"\\f0c9\";\n}\n\n.fa-navicon::before {\n  content: \"\\f0c9\";\n}\n\n.fa-people-group::before {\n  content: \"\\e533\";\n}\n\n.fa-hourglass-end::before {\n  content: \"\\f253\";\n}\n\n.fa-hourglass-3::before {\n  content: \"\\f253\";\n}\n\n.fa-heart-crack::before {\n  content: \"\\f7a9\";\n}\n\n.fa-heart-broken::before {\n  content: \"\\f7a9\";\n}\n\n.fa-square-up-right::before {\n  content: \"\\f360\";\n}\n\n.fa-external-link-square-alt::before {\n  content: \"\\f360\";\n}\n\n.fa-face-kiss-beam::before {\n  content: \"\\f597\";\n}\n\n.fa-kiss-beam::before {\n  content: \"\\f597\";\n}\n\n.fa-film::before {\n  content: \"\\f008\";\n}\n\n.fa-ruler-horizontal::before {\n  content: \"\\f547\";\n}\n\n.fa-people-robbery::before {\n  content: \"\\e536\";\n}\n\n.fa-lightbulb::before {\n  content: \"\\f0eb\";\n}\n\n.fa-caret-left::before {\n  content: \"\\f0d9\";\n}\n\n.fa-circle-exclamation::before {\n  content: \"\\f06a\";\n}\n\n.fa-exclamation-circle::before {\n  content: \"\\f06a\";\n}\n\n.fa-school-circle-xmark::before {\n  content: \"\\e56d\";\n}\n\n.fa-arrow-right-from-bracket::before {\n  content: \"\\f08b\";\n}\n\n.fa-sign-out::before {\n  content: \"\\f08b\";\n}\n\n.fa-circle-chevron-down::before {\n  content: \"\\f13a\";\n}\n\n.fa-chevron-circle-down::before {\n  content: \"\\f13a\";\n}\n\n.fa-unlock-keyhole::before {\n  content: \"\\f13e\";\n}\n\n.fa-unlock-alt::before {\n  content: \"\\f13e\";\n}\n\n.fa-cloud-showers-heavy::before {\n  content: \"\\f740\";\n}\n\n.fa-headphones-simple::before {\n  content: \"\\f58f\";\n}\n\n.fa-headphones-alt::before {\n  content: \"\\f58f\";\n}\n\n.fa-sitemap::before {\n  content: \"\\f0e8\";\n}\n\n.fa-circle-dollar-to-slot::before {\n  content: \"\\f4b9\";\n}\n\n.fa-donate::before {\n  content: \"\\f4b9\";\n}\n\n.fa-memory::before {\n  content: \"\\f538\";\n}\n\n.fa-road-spikes::before {\n  content: \"\\e568\";\n}\n\n.fa-fire-burner::before {\n  content: \"\\e4f1\";\n}\n\n.fa-flag::before {\n  content: \"\\f024\";\n}\n\n.fa-hanukiah::before {\n  content: \"\\f6e6\";\n}\n\n.fa-feather::before {\n  content: \"\\f52d\";\n}\n\n.fa-volume-low::before {\n  content: \"\\f027\";\n}\n\n.fa-volume-down::before {\n  content: \"\\f027\";\n}\n\n.fa-comment-slash::before {\n  content: \"\\f4b3\";\n}\n\n.fa-cloud-sun-rain::before {\n  content: \"\\f743\";\n}\n\n.fa-compress::before {\n  content: \"\\f066\";\n}\n\n.fa-wheat-awn::before {\n  content: \"\\e2cd\";\n}\n\n.fa-wheat-alt::before {\n  content: \"\\e2cd\";\n}\n\n.fa-ankh::before {\n  content: \"\\f644\";\n}\n\n.fa-hands-holding-child::before {\n  content: \"\\e4fa\";\n}\n\n.fa-asterisk::before {\n  content: \"\\*\";\n}\n\n.fa-square-check::before {\n  content: \"\\f14a\";\n}\n\n.fa-check-square::before {\n  content: \"\\f14a\";\n}\n\n.fa-peseta-sign::before {\n  content: \"\\e221\";\n}\n\n.fa-heading::before {\n  content: \"\\f1dc\";\n}\n\n.fa-header::before {\n  content: \"\\f1dc\";\n}\n\n.fa-ghost::before {\n  content: \"\\f6e2\";\n}\n\n.fa-list::before {\n  content: \"\\f03a\";\n}\n\n.fa-list-squares::before {\n  content: \"\\f03a\";\n}\n\n.fa-square-phone-flip::before {\n  content: \"\\f87b\";\n}\n\n.fa-phone-square-alt::before {\n  content: \"\\f87b\";\n}\n\n.fa-cart-plus::before {\n  content: \"\\f217\";\n}\n\n.fa-gamepad::before {\n  content: \"\\f11b\";\n}\n\n.fa-circle-dot::before {\n  content: \"\\f192\";\n}\n\n.fa-dot-circle::before {\n  content: \"\\f192\";\n}\n\n.fa-face-dizzy::before {\n  content: \"\\f567\";\n}\n\n.fa-dizzy::before {\n  content: \"\\f567\";\n}\n\n.fa-egg::before {\n  content: \"\\f7fb\";\n}\n\n.fa-house-medical-circle-xmark::before {\n  content: \"\\e513\";\n}\n\n.fa-campground::before {\n  content: \"\\f6bb\";\n}\n\n.fa-folder-plus::before {\n  content: \"\\f65e\";\n}\n\n.fa-futbol::before {\n  content: \"\\f1e3\";\n}\n\n.fa-futbol-ball::before {\n  content: \"\\f1e3\";\n}\n\n.fa-soccer-ball::before {\n  content: \"\\f1e3\";\n}\n\n.fa-paintbrush::before {\n  content: \"\\f1fc\";\n}\n\n.fa-paint-brush::before {\n  content: \"\\f1fc\";\n}\n\n.fa-lock::before {\n  content: \"\\f023\";\n}\n\n.fa-gas-pump::before {\n  content: \"\\f52f\";\n}\n\n.fa-hot-tub-person::before {\n  content: \"\\f593\";\n}\n\n.fa-hot-tub::before {\n  content: \"\\f593\";\n}\n\n.fa-map-location::before {\n  content: \"\\f59f\";\n}\n\n.fa-map-marked::before {\n  content: \"\\f59f\";\n}\n\n.fa-house-flood-water::before {\n  content: \"\\e50e\";\n}\n\n.fa-tree::before {\n  content: \"\\f1bb\";\n}\n\n.fa-bridge-lock::before {\n  content: \"\\e4cc\";\n}\n\n.fa-sack-dollar::before {\n  content: \"\\f81d\";\n}\n\n.fa-pen-to-square::before {\n  content: \"\\f044\";\n}\n\n.fa-edit::before {\n  content: \"\\f044\";\n}\n\n.fa-car-side::before {\n  content: \"\\f5e4\";\n}\n\n.fa-share-nodes::before {\n  content: \"\\f1e0\";\n}\n\n.fa-share-alt::before {\n  content: \"\\f1e0\";\n}\n\n.fa-heart-circle-minus::before {\n  content: \"\\e4ff\";\n}\n\n.fa-hourglass-half::before {\n  content: \"\\f252\";\n}\n\n.fa-hourglass-2::before {\n  content: \"\\f252\";\n}\n\n.fa-microscope::before {\n  content: \"\\f610\";\n}\n\n.fa-sink::before {\n  content: \"\\e06d\";\n}\n\n.fa-bag-shopping::before {\n  content: \"\\f290\";\n}\n\n.fa-shopping-bag::before {\n  content: \"\\f290\";\n}\n\n.fa-arrow-down-z-a::before {\n  content: \"\\f881\";\n}\n\n.fa-sort-alpha-desc::before {\n  content: \"\\f881\";\n}\n\n.fa-sort-alpha-down-alt::before {\n  content: \"\\f881\";\n}\n\n.fa-mitten::before {\n  content: \"\\f7b5\";\n}\n\n.fa-person-rays::before {\n  content: \"\\e54d\";\n}\n\n.fa-users::before {\n  content: \"\\f0c0\";\n}\n\n.fa-eye-slash::before {\n  content: \"\\f070\";\n}\n\n.fa-flask-vial::before {\n  content: \"\\e4f3\";\n}\n\n.fa-hand::before {\n  content: \"\\f256\";\n}\n\n.fa-hand-paper::before {\n  content: \"\\f256\";\n}\n\n.fa-om::before {\n  content: \"\\f679\";\n}\n\n.fa-worm::before {\n  content: \"\\e599\";\n}\n\n.fa-house-circle-xmark::before {\n  content: \"\\e50b\";\n}\n\n.fa-plug::before {\n  content: \"\\f1e6\";\n}\n\n.fa-chevron-up::before {\n  content: \"\\f077\";\n}\n\n.fa-hand-spock::before {\n  content: \"\\f259\";\n}\n\n.fa-stopwatch::before {\n  content: \"\\f2f2\";\n}\n\n.fa-face-kiss::before {\n  content: \"\\f596\";\n}\n\n.fa-kiss::before {\n  content: \"\\f596\";\n}\n\n.fa-bridge-circle-xmark::before {\n  content: \"\\e4cb\";\n}\n\n.fa-face-grin-tongue::before {\n  content: \"\\f589\";\n}\n\n.fa-grin-tongue::before {\n  content: \"\\f589\";\n}\n\n.fa-chess-bishop::before {\n  content: \"\\f43a\";\n}\n\n.fa-face-grin-wink::before {\n  content: \"\\f58c\";\n}\n\n.fa-grin-wink::before {\n  content: \"\\f58c\";\n}\n\n.fa-ear-deaf::before {\n  content: \"\\f2a4\";\n}\n\n.fa-deaf::before {\n  content: \"\\f2a4\";\n}\n\n.fa-deafness::before {\n  content: \"\\f2a4\";\n}\n\n.fa-hard-of-hearing::before {\n  content: \"\\f2a4\";\n}\n\n.fa-road-circle-check::before {\n  content: \"\\e564\";\n}\n\n.fa-dice-five::before {\n  content: \"\\f523\";\n}\n\n.fa-square-rss::before {\n  content: \"\\f143\";\n}\n\n.fa-rss-square::before {\n  content: \"\\f143\";\n}\n\n.fa-land-mine-on::before {\n  content: \"\\e51b\";\n}\n\n.fa-i-cursor::before {\n  content: \"\\f246\";\n}\n\n.fa-stamp::before {\n  content: \"\\f5bf\";\n}\n\n.fa-stairs::before {\n  content: \"\\e289\";\n}\n\n.fa-i::before {\n  content: \"I\";\n}\n\n.fa-hryvnia-sign::before {\n  content: \"\\f6f2\";\n}\n\n.fa-hryvnia::before {\n  content: \"\\f6f2\";\n}\n\n.fa-pills::before {\n  content: \"\\f484\";\n}\n\n.fa-face-grin-wide::before {\n  content: \"\\f581\";\n}\n\n.fa-grin-alt::before {\n  content: \"\\f581\";\n}\n\n.fa-tooth::before {\n  content: \"\\f5c9\";\n}\n\n.fa-v::before {\n  content: \"V\";\n}\n\n.fa-bangladeshi-taka-sign::before {\n  content: \"\\e2e6\";\n}\n\n.fa-bicycle::before {\n  content: \"\\f206\";\n}\n\n.fa-staff-snake::before {\n  content: \"\\e579\";\n}\n\n.fa-rod-asclepius::before {\n  content: \"\\e579\";\n}\n\n.fa-rod-snake::before {\n  content: \"\\e579\";\n}\n\n.fa-staff-aesculapius::before {\n  content: \"\\e579\";\n}\n\n.fa-head-side-cough-slash::before {\n  content: \"\\e062\";\n}\n\n.fa-truck-medical::before {\n  content: \"\\f0f9\";\n}\n\n.fa-ambulance::before {\n  content: \"\\f0f9\";\n}\n\n.fa-wheat-awn-circle-exclamation::before {\n  content: \"\\e598\";\n}\n\n.fa-snowman::before {\n  content: \"\\f7d0\";\n}\n\n.fa-mortar-pestle::before {\n  content: \"\\f5a7\";\n}\n\n.fa-road-barrier::before {\n  content: \"\\e562\";\n}\n\n.fa-school::before {\n  content: \"\\f549\";\n}\n\n.fa-igloo::before {\n  content: \"\\f7ae\";\n}\n\n.fa-joint::before {\n  content: \"\\f595\";\n}\n\n.fa-angle-right::before {\n  content: \"\\f105\";\n}\n\n.fa-horse::before {\n  content: \"\\f6f0\";\n}\n\n.fa-q::before {\n  content: \"Q\";\n}\n\n.fa-g::before {\n  content: \"G\";\n}\n\n.fa-notes-medical::before {\n  content: \"\\f481\";\n}\n\n.fa-temperature-half::before {\n  content: \"\\f2c9\";\n}\n\n.fa-temperature-2::before {\n  content: \"\\f2c9\";\n}\n\n.fa-thermometer-2::before {\n  content: \"\\f2c9\";\n}\n\n.fa-thermometer-half::before {\n  content: \"\\f2c9\";\n}\n\n.fa-dong-sign::before {\n  content: \"\\e169\";\n}\n\n.fa-capsules::before {\n  content: \"\\f46b\";\n}\n\n.fa-poo-storm::before {\n  content: \"\\f75a\";\n}\n\n.fa-poo-bolt::before {\n  content: \"\\f75a\";\n}\n\n.fa-face-frown-open::before {\n  content: \"\\f57a\";\n}\n\n.fa-frown-open::before {\n  content: \"\\f57a\";\n}\n\n.fa-hand-point-up::before {\n  content: \"\\f0a6\";\n}\n\n.fa-money-bill::before {\n  content: \"\\f0d6\";\n}\n\n.fa-bookmark::before {\n  content: \"\\f02e\";\n}\n\n.fa-align-justify::before {\n  content: \"\\f039\";\n}\n\n.fa-umbrella-beach::before {\n  content: \"\\f5ca\";\n}\n\n.fa-helmet-un::before {\n  content: \"\\e503\";\n}\n\n.fa-bullseye::before {\n  content: \"\\f140\";\n}\n\n.fa-bacon::before {\n  content: \"\\f7e5\";\n}\n\n.fa-hand-point-down::before {\n  content: \"\\f0a7\";\n}\n\n.fa-arrow-up-from-bracket::before {\n  content: \"\\e09a\";\n}\n\n.fa-folder::before {\n  content: \"\\f07b\";\n}\n\n.fa-folder-blank::before {\n  content: \"\\f07b\";\n}\n\n.fa-file-waveform::before {\n  content: \"\\f478\";\n}\n\n.fa-file-medical-alt::before {\n  content: \"\\f478\";\n}\n\n.fa-radiation::before {\n  content: \"\\f7b9\";\n}\n\n.fa-chart-simple::before {\n  content: \"\\e473\";\n}\n\n.fa-mars-stroke::before {\n  content: \"\\f229\";\n}\n\n.fa-vial::before {\n  content: \"\\f492\";\n}\n\n.fa-gauge::before {\n  content: \"\\f624\";\n}\n\n.fa-dashboard::before {\n  content: \"\\f624\";\n}\n\n.fa-gauge-med::before {\n  content: \"\\f624\";\n}\n\n.fa-tachometer-alt-average::before {\n  content: \"\\f624\";\n}\n\n.fa-wand-magic-sparkles::before {\n  content: \"\\e2ca\";\n}\n\n.fa-magic-wand-sparkles::before {\n  content: \"\\e2ca\";\n}\n\n.fa-e::before {\n  content: \"E\";\n}\n\n.fa-pen-clip::before {\n  content: \"\\f305\";\n}\n\n.fa-pen-alt::before {\n  content: \"\\f305\";\n}\n\n.fa-bridge-circle-exclamation::before {\n  content: \"\\e4ca\";\n}\n\n.fa-user::before {\n  content: \"\\f007\";\n}\n\n.fa-school-circle-check::before {\n  content: \"\\e56b\";\n}\n\n.fa-dumpster::before {\n  content: \"\\f793\";\n}\n\n.fa-van-shuttle::before {\n  content: \"\\f5b6\";\n}\n\n.fa-shuttle-van::before {\n  content: \"\\f5b6\";\n}\n\n.fa-building-user::before {\n  content: \"\\e4da\";\n}\n\n.fa-square-caret-left::before {\n  content: \"\\f191\";\n}\n\n.fa-caret-square-left::before {\n  content: \"\\f191\";\n}\n\n.fa-highlighter::before {\n  content: \"\\f591\";\n}\n\n.fa-key::before {\n  content: \"\\f084\";\n}\n\n.fa-bullhorn::before {\n  content: \"\\f0a1\";\n}\n\n.fa-globe::before {\n  content: \"\\f0ac\";\n}\n\n.fa-synagogue::before {\n  content: \"\\f69b\";\n}\n\n.fa-person-half-dress::before {\n  content: \"\\e548\";\n}\n\n.fa-road-bridge::before {\n  content: \"\\e563\";\n}\n\n.fa-location-arrow::before {\n  content: \"\\f124\";\n}\n\n.fa-c::before {\n  content: \"C\";\n}\n\n.fa-tablet-button::before {\n  content: \"\\f10a\";\n}\n\n.fa-building-lock::before {\n  content: \"\\e4d6\";\n}\n\n.fa-pizza-slice::before {\n  content: \"\\f818\";\n}\n\n.fa-money-bill-wave::before {\n  content: \"\\f53a\";\n}\n\n.fa-chart-area::before {\n  content: \"\\f1fe\";\n}\n\n.fa-area-chart::before {\n  content: \"\\f1fe\";\n}\n\n.fa-house-flag::before {\n  content: \"\\e50d\";\n}\n\n.fa-person-circle-minus::before {\n  content: \"\\e540\";\n}\n\n.fa-ban::before {\n  content: \"\\f05e\";\n}\n\n.fa-cancel::before {\n  content: \"\\f05e\";\n}\n\n.fa-camera-rotate::before {\n  content: \"\\e0d8\";\n}\n\n.fa-spray-can-sparkles::before {\n  content: \"\\f5d0\";\n}\n\n.fa-air-freshener::before {\n  content: \"\\f5d0\";\n}\n\n.fa-star::before {\n  content: \"\\f005\";\n}\n\n.fa-repeat::before {\n  content: \"\\f363\";\n}\n\n.fa-cross::before {\n  content: \"\\f654\";\n}\n\n.fa-box::before {\n  content: \"\\f466\";\n}\n\n.fa-venus-mars::before {\n  content: \"\\f228\";\n}\n\n.fa-arrow-pointer::before {\n  content: \"\\f245\";\n}\n\n.fa-mouse-pointer::before {\n  content: \"\\f245\";\n}\n\n.fa-maximize::before {\n  content: \"\\f31e\";\n}\n\n.fa-expand-arrows-alt::before {\n  content: \"\\f31e\";\n}\n\n.fa-charging-station::before {\n  content: \"\\f5e7\";\n}\n\n.fa-shapes::before {\n  content: \"\\f61f\";\n}\n\n.fa-triangle-circle-square::before {\n  content: \"\\f61f\";\n}\n\n.fa-shuffle::before {\n  content: \"\\f074\";\n}\n\n.fa-random::before {\n  content: \"\\f074\";\n}\n\n.fa-person-running::before {\n  content: \"\\f70c\";\n}\n\n.fa-running::before {\n  content: \"\\f70c\";\n}\n\n.fa-mobile-retro::before {\n  content: \"\\e527\";\n}\n\n.fa-grip-lines-vertical::before {\n  content: \"\\f7a5\";\n}\n\n.fa-spider::before {\n  content: \"\\f717\";\n}\n\n.fa-hands-bound::before {\n  content: \"\\e4f9\";\n}\n\n.fa-file-invoice-dollar::before {\n  content: \"\\f571\";\n}\n\n.fa-plane-circle-exclamation::before {\n  content: \"\\e556\";\n}\n\n.fa-x-ray::before {\n  content: \"\\f497\";\n}\n\n.fa-spell-check::before {\n  content: \"\\f891\";\n}\n\n.fa-slash::before {\n  content: \"\\f715\";\n}\n\n.fa-computer-mouse::before {\n  content: \"\\f8cc\";\n}\n\n.fa-mouse::before {\n  content: \"\\f8cc\";\n}\n\n.fa-arrow-right-to-bracket::before {\n  content: \"\\f090\";\n}\n\n.fa-sign-in::before {\n  content: \"\\f090\";\n}\n\n.fa-shop-slash::before {\n  content: \"\\e070\";\n}\n\n.fa-store-alt-slash::before {\n  content: \"\\e070\";\n}\n\n.fa-server::before {\n  content: \"\\f233\";\n}\n\n.fa-virus-covid-slash::before {\n  content: \"\\e4a9\";\n}\n\n.fa-shop-lock::before {\n  content: \"\\e4a5\";\n}\n\n.fa-hourglass-start::before {\n  content: \"\\f251\";\n}\n\n.fa-hourglass-1::before {\n  content: \"\\f251\";\n}\n\n.fa-blender-phone::before {\n  content: \"\\f6b6\";\n}\n\n.fa-building-wheat::before {\n  content: \"\\e4db\";\n}\n\n.fa-person-breastfeeding::before {\n  content: \"\\e53a\";\n}\n\n.fa-right-to-bracket::before {\n  content: \"\\f2f6\";\n}\n\n.fa-sign-in-alt::before {\n  content: \"\\f2f6\";\n}\n\n.fa-venus::before {\n  content: \"\\f221\";\n}\n\n.fa-passport::before {\n  content: \"\\f5ab\";\n}\n\n.fa-heart-pulse::before {\n  content: \"\\f21e\";\n}\n\n.fa-heartbeat::before {\n  content: \"\\f21e\";\n}\n\n.fa-people-carry-box::before {\n  content: \"\\f4ce\";\n}\n\n.fa-people-carry::before {\n  content: \"\\f4ce\";\n}\n\n.fa-temperature-high::before {\n  content: \"\\f769\";\n}\n\n.fa-microchip::before {\n  content: \"\\f2db\";\n}\n\n.fa-crown::before {\n  content: \"\\f521\";\n}\n\n.fa-weight-hanging::before {\n  content: \"\\f5cd\";\n}\n\n.fa-xmarks-lines::before {\n  content: \"\\e59a\";\n}\n\n.fa-file-prescription::before {\n  content: \"\\f572\";\n}\n\n.fa-weight-scale::before {\n  content: \"\\f496\";\n}\n\n.fa-weight::before {\n  content: \"\\f496\";\n}\n\n.fa-user-group::before {\n  content: \"\\f500\";\n}\n\n.fa-user-friends::before {\n  content: \"\\f500\";\n}\n\n.fa-arrow-up-a-z::before {\n  content: \"\\f15e\";\n}\n\n.fa-sort-alpha-up::before {\n  content: \"\\f15e\";\n}\n\n.fa-chess-knight::before {\n  content: \"\\f441\";\n}\n\n.fa-face-laugh-squint::before {\n  content: \"\\f59b\";\n}\n\n.fa-laugh-squint::before {\n  content: \"\\f59b\";\n}\n\n.fa-wheelchair::before {\n  content: \"\\f193\";\n}\n\n.fa-circle-arrow-up::before {\n  content: \"\\f0aa\";\n}\n\n.fa-arrow-circle-up::before {\n  content: \"\\f0aa\";\n}\n\n.fa-toggle-on::before {\n  content: \"\\f205\";\n}\n\n.fa-person-walking::before {\n  content: \"\\f554\";\n}\n\n.fa-walking::before {\n  content: \"\\f554\";\n}\n\n.fa-l::before {\n  content: \"L\";\n}\n\n.fa-fire::before {\n  content: \"\\f06d\";\n}\n\n.fa-bed-pulse::before {\n  content: \"\\f487\";\n}\n\n.fa-procedures::before {\n  content: \"\\f487\";\n}\n\n.fa-shuttle-space::before {\n  content: \"\\f197\";\n}\n\n.fa-space-shuttle::before {\n  content: \"\\f197\";\n}\n\n.fa-face-laugh::before {\n  content: \"\\f599\";\n}\n\n.fa-laugh::before {\n  content: \"\\f599\";\n}\n\n.fa-folder-open::before {\n  content: \"\\f07c\";\n}\n\n.fa-heart-circle-plus::before {\n  content: \"\\e500\";\n}\n\n.fa-code-fork::before {\n  content: \"\\e13b\";\n}\n\n.fa-city::before {\n  content: \"\\f64f\";\n}\n\n.fa-microphone-lines::before {\n  content: \"\\f3c9\";\n}\n\n.fa-microphone-alt::before {\n  content: \"\\f3c9\";\n}\n\n.fa-pepper-hot::before {\n  content: \"\\f816\";\n}\n\n.fa-unlock::before {\n  content: \"\\f09c\";\n}\n\n.fa-colon-sign::before {\n  content: \"\\e140\";\n}\n\n.fa-headset::before {\n  content: \"\\f590\";\n}\n\n.fa-store-slash::before {\n  content: \"\\e071\";\n}\n\n.fa-road-circle-xmark::before {\n  content: \"\\e566\";\n}\n\n.fa-user-minus::before {\n  content: \"\\f503\";\n}\n\n.fa-mars-stroke-up::before {\n  content: \"\\f22a\";\n}\n\n.fa-mars-stroke-v::before {\n  content: \"\\f22a\";\n}\n\n.fa-champagne-glasses::before {\n  content: \"\\f79f\";\n}\n\n.fa-glass-cheers::before {\n  content: \"\\f79f\";\n}\n\n.fa-clipboard::before {\n  content: \"\\f328\";\n}\n\n.fa-house-circle-exclamation::before {\n  content: \"\\e50a\";\n}\n\n.fa-file-arrow-up::before {\n  content: \"\\f574\";\n}\n\n.fa-file-upload::before {\n  content: \"\\f574\";\n}\n\n.fa-wifi::before {\n  content: \"\\f1eb\";\n}\n\n.fa-wifi-3::before {\n  content: \"\\f1eb\";\n}\n\n.fa-wifi-strong::before {\n  content: \"\\f1eb\";\n}\n\n.fa-bath::before {\n  content: \"\\f2cd\";\n}\n\n.fa-bathtub::before {\n  content: \"\\f2cd\";\n}\n\n.fa-underline::before {\n  content: \"\\f0cd\";\n}\n\n.fa-user-pen::before {\n  content: \"\\f4ff\";\n}\n\n.fa-user-edit::before {\n  content: \"\\f4ff\";\n}\n\n.fa-signature::before {\n  content: \"\\f5b7\";\n}\n\n.fa-stroopwafel::before {\n  content: \"\\f551\";\n}\n\n.fa-bold::before {\n  content: \"\\f032\";\n}\n\n.fa-anchor-lock::before {\n  content: \"\\e4ad\";\n}\n\n.fa-building-ngo::before {\n  content: \"\\e4d7\";\n}\n\n.fa-manat-sign::before {\n  content: \"\\e1d5\";\n}\n\n.fa-not-equal::before {\n  content: \"\\f53e\";\n}\n\n.fa-border-top-left::before {\n  content: \"\\f853\";\n}\n\n.fa-border-style::before {\n  content: \"\\f853\";\n}\n\n.fa-map-location-dot::before {\n  content: \"\\f5a0\";\n}\n\n.fa-map-marked-alt::before {\n  content: \"\\f5a0\";\n}\n\n.fa-jedi::before {\n  content: \"\\f669\";\n}\n\n.fa-square-poll-vertical::before {\n  content: \"\\f681\";\n}\n\n.fa-poll::before {\n  content: \"\\f681\";\n}\n\n.fa-mug-hot::before {\n  content: \"\\f7b6\";\n}\n\n.fa-car-battery::before {\n  content: \"\\f5df\";\n}\n\n.fa-battery-car::before {\n  content: \"\\f5df\";\n}\n\n.fa-gift::before {\n  content: \"\\f06b\";\n}\n\n.fa-dice-two::before {\n  content: \"\\f528\";\n}\n\n.fa-chess-queen::before {\n  content: \"\\f445\";\n}\n\n.fa-glasses::before {\n  content: \"\\f530\";\n}\n\n.fa-chess-board::before {\n  content: \"\\f43c\";\n}\n\n.fa-building-circle-check::before {\n  content: \"\\e4d2\";\n}\n\n.fa-person-chalkboard::before {\n  content: \"\\e53d\";\n}\n\n.fa-mars-stroke-right::before {\n  content: \"\\f22b\";\n}\n\n.fa-mars-stroke-h::before {\n  content: \"\\f22b\";\n}\n\n.fa-hand-back-fist::before {\n  content: \"\\f255\";\n}\n\n.fa-hand-rock::before {\n  content: \"\\f255\";\n}\n\n.fa-square-caret-up::before {\n  content: \"\\f151\";\n}\n\n.fa-caret-square-up::before {\n  content: \"\\f151\";\n}\n\n.fa-cloud-showers-water::before {\n  content: \"\\e4e4\";\n}\n\n.fa-chart-bar::before {\n  content: \"\\f080\";\n}\n\n.fa-bar-chart::before {\n  content: \"\\f080\";\n}\n\n.fa-hands-bubbles::before {\n  content: \"\\e05e\";\n}\n\n.fa-hands-wash::before {\n  content: \"\\e05e\";\n}\n\n.fa-less-than-equal::before {\n  content: \"\\f537\";\n}\n\n.fa-train::before {\n  content: \"\\f238\";\n}\n\n.fa-eye-low-vision::before {\n  content: \"\\f2a8\";\n}\n\n.fa-low-vision::before {\n  content: \"\\f2a8\";\n}\n\n.fa-crow::before {\n  content: \"\\f520\";\n}\n\n.fa-sailboat::before {\n  content: \"\\e445\";\n}\n\n.fa-window-restore::before {\n  content: \"\\f2d2\";\n}\n\n.fa-square-plus::before {\n  content: \"\\f0fe\";\n}\n\n.fa-plus-square::before {\n  content: \"\\f0fe\";\n}\n\n.fa-torii-gate::before {\n  content: \"\\f6a1\";\n}\n\n.fa-frog::before {\n  content: \"\\f52e\";\n}\n\n.fa-bucket::before {\n  content: \"\\e4cf\";\n}\n\n.fa-image::before {\n  content: \"\\f03e\";\n}\n\n.fa-microphone::before {\n  content: \"\\f130\";\n}\n\n.fa-cow::before {\n  content: \"\\f6c8\";\n}\n\n.fa-caret-up::before {\n  content: \"\\f0d8\";\n}\n\n.fa-screwdriver::before {\n  content: \"\\f54a\";\n}\n\n.fa-folder-closed::before {\n  content: \"\\e185\";\n}\n\n.fa-house-tsunami::before {\n  content: \"\\e515\";\n}\n\n.fa-square-nfi::before {\n  content: \"\\e576\";\n}\n\n.fa-arrow-up-from-ground-water::before {\n  content: \"\\e4b5\";\n}\n\n.fa-martini-glass::before {\n  content: \"\\f57b\";\n}\n\n.fa-glass-martini-alt::before {\n  content: \"\\f57b\";\n}\n\n.fa-rotate-left::before {\n  content: \"\\f2ea\";\n}\n\n.fa-rotate-back::before {\n  content: \"\\f2ea\";\n}\n\n.fa-rotate-backward::before {\n  content: \"\\f2ea\";\n}\n\n.fa-undo-alt::before {\n  content: \"\\f2ea\";\n}\n\n.fa-table-columns::before {\n  content: \"\\f0db\";\n}\n\n.fa-columns::before {\n  content: \"\\f0db\";\n}\n\n.fa-lemon::before {\n  content: \"\\f094\";\n}\n\n.fa-head-side-mask::before {\n  content: \"\\e063\";\n}\n\n.fa-handshake::before {\n  content: \"\\f2b5\";\n}\n\n.fa-gem::before {\n  content: \"\\f3a5\";\n}\n\n.fa-dolly::before {\n  content: \"\\f472\";\n}\n\n.fa-dolly-box::before {\n  content: \"\\f472\";\n}\n\n.fa-smoking::before {\n  content: \"\\f48d\";\n}\n\n.fa-minimize::before {\n  content: \"\\f78c\";\n}\n\n.fa-compress-arrows-alt::before {\n  content: \"\\f78c\";\n}\n\n.fa-monument::before {\n  content: \"\\f5a6\";\n}\n\n.fa-snowplow::before {\n  content: \"\\f7d2\";\n}\n\n.fa-angles-right::before {\n  content: \"\\f101\";\n}\n\n.fa-angle-double-right::before {\n  content: \"\\f101\";\n}\n\n.fa-cannabis::before {\n  content: \"\\f55f\";\n}\n\n.fa-circle-play::before {\n  content: \"\\f144\";\n}\n\n.fa-play-circle::before {\n  content: \"\\f144\";\n}\n\n.fa-tablets::before {\n  content: \"\\f490\";\n}\n\n.fa-ethernet::before {\n  content: \"\\f796\";\n}\n\n.fa-euro-sign::before {\n  content: \"\\f153\";\n}\n\n.fa-eur::before {\n  content: \"\\f153\";\n}\n\n.fa-euro::before {\n  content: \"\\f153\";\n}\n\n.fa-chair::before {\n  content: \"\\f6c0\";\n}\n\n.fa-circle-check::before {\n  content: \"\\f058\";\n}\n\n.fa-check-circle::before {\n  content: \"\\f058\";\n}\n\n.fa-circle-stop::before {\n  content: \"\\f28d\";\n}\n\n.fa-stop-circle::before {\n  content: \"\\f28d\";\n}\n\n.fa-compass-drafting::before {\n  content: \"\\f568\";\n}\n\n.fa-drafting-compass::before {\n  content: \"\\f568\";\n}\n\n.fa-plate-wheat::before {\n  content: \"\\e55a\";\n}\n\n.fa-icicles::before {\n  content: \"\\f7ad\";\n}\n\n.fa-person-shelter::before {\n  content: \"\\e54f\";\n}\n\n.fa-neuter::before {\n  content: \"\\f22c\";\n}\n\n.fa-id-badge::before {\n  content: \"\\f2c1\";\n}\n\n.fa-marker::before {\n  content: \"\\f5a1\";\n}\n\n.fa-face-laugh-beam::before {\n  content: \"\\f59a\";\n}\n\n.fa-laugh-beam::before {\n  content: \"\\f59a\";\n}\n\n.fa-helicopter-symbol::before {\n  content: \"\\e502\";\n}\n\n.fa-universal-access::before {\n  content: \"\\f29a\";\n}\n\n.fa-circle-chevron-up::before {\n  content: \"\\f139\";\n}\n\n.fa-chevron-circle-up::before {\n  content: \"\\f139\";\n}\n\n.fa-lari-sign::before {\n  content: \"\\e1c8\";\n}\n\n.fa-volcano::before {\n  content: \"\\f770\";\n}\n\n.fa-person-walking-dashed-line-arrow-right::before {\n  content: \"\\e553\";\n}\n\n.fa-sterling-sign::before {\n  content: \"\\f154\";\n}\n\n.fa-gbp::before {\n  content: \"\\f154\";\n}\n\n.fa-pound-sign::before {\n  content: \"\\f154\";\n}\n\n.fa-viruses::before {\n  content: \"\\e076\";\n}\n\n.fa-square-person-confined::before {\n  content: \"\\e577\";\n}\n\n.fa-user-tie::before {\n  content: \"\\f508\";\n}\n\n.fa-arrow-down-long::before {\n  content: \"\\f175\";\n}\n\n.fa-long-arrow-down::before {\n  content: \"\\f175\";\n}\n\n.fa-tent-arrow-down-to-line::before {\n  content: \"\\e57e\";\n}\n\n.fa-certificate::before {\n  content: \"\\f0a3\";\n}\n\n.fa-reply-all::before {\n  content: \"\\f122\";\n}\n\n.fa-mail-reply-all::before {\n  content: \"\\f122\";\n}\n\n.fa-suitcase::before {\n  content: \"\\f0f2\";\n}\n\n.fa-person-skating::before {\n  content: \"\\f7c5\";\n}\n\n.fa-skating::before {\n  content: \"\\f7c5\";\n}\n\n.fa-filter-circle-dollar::before {\n  content: \"\\f662\";\n}\n\n.fa-funnel-dollar::before {\n  content: \"\\f662\";\n}\n\n.fa-camera-retro::before {\n  content: \"\\f083\";\n}\n\n.fa-circle-arrow-down::before {\n  content: \"\\f0ab\";\n}\n\n.fa-arrow-circle-down::before {\n  content: \"\\f0ab\";\n}\n\n.fa-file-import::before {\n  content: \"\\f56f\";\n}\n\n.fa-arrow-right-to-file::before {\n  content: \"\\f56f\";\n}\n\n.fa-square-arrow-up-right::before {\n  content: \"\\f14c\";\n}\n\n.fa-external-link-square::before {\n  content: \"\\f14c\";\n}\n\n.fa-box-open::before {\n  content: \"\\f49e\";\n}\n\n.fa-scroll::before {\n  content: \"\\f70e\";\n}\n\n.fa-spa::before {\n  content: \"\\f5bb\";\n}\n\n.fa-location-pin-lock::before {\n  content: \"\\e51f\";\n}\n\n.fa-pause::before {\n  content: \"\\f04c\";\n}\n\n.fa-hill-avalanche::before {\n  content: \"\\e507\";\n}\n\n.fa-temperature-empty::before {\n  content: \"\\f2cb\";\n}\n\n.fa-temperature-0::before {\n  content: \"\\f2cb\";\n}\n\n.fa-thermometer-0::before {\n  content: \"\\f2cb\";\n}\n\n.fa-thermometer-empty::before {\n  content: \"\\f2cb\";\n}\n\n.fa-bomb::before {\n  content: \"\\f1e2\";\n}\n\n.fa-registered::before {\n  content: \"\\f25d\";\n}\n\n.fa-address-card::before {\n  content: \"\\f2bb\";\n}\n\n.fa-contact-card::before {\n  content: \"\\f2bb\";\n}\n\n.fa-vcard::before {\n  content: \"\\f2bb\";\n}\n\n.fa-scale-unbalanced-flip::before {\n  content: \"\\f516\";\n}\n\n.fa-balance-scale-right::before {\n  content: \"\\f516\";\n}\n\n.fa-subscript::before {\n  content: \"\\f12c\";\n}\n\n.fa-diamond-turn-right::before {\n  content: \"\\f5eb\";\n}\n\n.fa-directions::before {\n  content: \"\\f5eb\";\n}\n\n.fa-burst::before {\n  content: \"\\e4dc\";\n}\n\n.fa-house-laptop::before {\n  content: \"\\e066\";\n}\n\n.fa-laptop-house::before {\n  content: \"\\e066\";\n}\n\n.fa-face-tired::before {\n  content: \"\\f5c8\";\n}\n\n.fa-tired::before {\n  content: \"\\f5c8\";\n}\n\n.fa-money-bills::before {\n  content: \"\\e1f3\";\n}\n\n.fa-smog::before {\n  content: \"\\f75f\";\n}\n\n.fa-crutch::before {\n  content: \"\\f7f7\";\n}\n\n.fa-cloud-arrow-up::before {\n  content: \"\\f0ee\";\n}\n\n.fa-cloud-upload::before {\n  content: \"\\f0ee\";\n}\n\n.fa-cloud-upload-alt::before {\n  content: \"\\f0ee\";\n}\n\n.fa-palette::before {\n  content: \"\\f53f\";\n}\n\n.fa-arrows-turn-right::before {\n  content: \"\\e4c0\";\n}\n\n.fa-vest::before {\n  content: \"\\e085\";\n}\n\n.fa-ferry::before {\n  content: \"\\e4ea\";\n}\n\n.fa-arrows-down-to-people::before {\n  content: \"\\e4b9\";\n}\n\n.fa-seedling::before {\n  content: \"\\f4d8\";\n}\n\n.fa-sprout::before {\n  content: \"\\f4d8\";\n}\n\n.fa-left-right::before {\n  content: \"\\f337\";\n}\n\n.fa-arrows-alt-h::before {\n  content: \"\\f337\";\n}\n\n.fa-boxes-packing::before {\n  content: \"\\e4c7\";\n}\n\n.fa-circle-arrow-left::before {\n  content: \"\\f0a8\";\n}\n\n.fa-arrow-circle-left::before {\n  content: \"\\f0a8\";\n}\n\n.fa-group-arrows-rotate::before {\n  content: \"\\e4f6\";\n}\n\n.fa-bowl-food::before {\n  content: \"\\e4c6\";\n}\n\n.fa-candy-cane::before {\n  content: \"\\f786\";\n}\n\n.fa-arrow-down-wide-short::before {\n  content: \"\\f160\";\n}\n\n.fa-sort-amount-asc::before {\n  content: \"\\f160\";\n}\n\n.fa-sort-amount-down::before {\n  content: \"\\f160\";\n}\n\n.fa-cloud-bolt::before {\n  content: \"\\f76c\";\n}\n\n.fa-thunderstorm::before {\n  content: \"\\f76c\";\n}\n\n.fa-text-slash::before {\n  content: \"\\f87d\";\n}\n\n.fa-remove-format::before {\n  content: \"\\f87d\";\n}\n\n.fa-face-smile-wink::before {\n  content: \"\\f4da\";\n}\n\n.fa-smile-wink::before {\n  content: \"\\f4da\";\n}\n\n.fa-file-word::before {\n  content: \"\\f1c2\";\n}\n\n.fa-file-powerpoint::before {\n  content: \"\\f1c4\";\n}\n\n.fa-arrows-left-right::before {\n  content: \"\\f07e\";\n}\n\n.fa-arrows-h::before {\n  content: \"\\f07e\";\n}\n\n.fa-house-lock::before {\n  content: \"\\e510\";\n}\n\n.fa-cloud-arrow-down::before {\n  content: \"\\f0ed\";\n}\n\n.fa-cloud-download::before {\n  content: \"\\f0ed\";\n}\n\n.fa-cloud-download-alt::before {\n  content: \"\\f0ed\";\n}\n\n.fa-children::before {\n  content: \"\\e4e1\";\n}\n\n.fa-chalkboard::before {\n  content: \"\\f51b\";\n}\n\n.fa-blackboard::before {\n  content: \"\\f51b\";\n}\n\n.fa-user-large-slash::before {\n  content: \"\\f4fa\";\n}\n\n.fa-user-alt-slash::before {\n  content: \"\\f4fa\";\n}\n\n.fa-envelope-open::before {\n  content: \"\\f2b6\";\n}\n\n.fa-handshake-simple-slash::before {\n  content: \"\\e05f\";\n}\n\n.fa-handshake-alt-slash::before {\n  content: \"\\e05f\";\n}\n\n.fa-mattress-pillow::before {\n  content: \"\\e525\";\n}\n\n.fa-guarani-sign::before {\n  content: \"\\e19a\";\n}\n\n.fa-arrows-rotate::before {\n  content: \"\\f021\";\n}\n\n.fa-refresh::before {\n  content: \"\\f021\";\n}\n\n.fa-sync::before {\n  content: \"\\f021\";\n}\n\n.fa-fire-extinguisher::before {\n  content: \"\\f134\";\n}\n\n.fa-cruzeiro-sign::before {\n  content: \"\\e152\";\n}\n\n.fa-greater-than-equal::before {\n  content: \"\\f532\";\n}\n\n.fa-shield-halved::before {\n  content: \"\\f3ed\";\n}\n\n.fa-shield-alt::before {\n  content: \"\\f3ed\";\n}\n\n.fa-book-atlas::before {\n  content: \"\\f558\";\n}\n\n.fa-atlas::before {\n  content: \"\\f558\";\n}\n\n.fa-virus::before {\n  content: \"\\e074\";\n}\n\n.fa-envelope-circle-check::before {\n  content: \"\\e4e8\";\n}\n\n.fa-layer-group::before {\n  content: \"\\f5fd\";\n}\n\n.fa-arrows-to-dot::before {\n  content: \"\\e4be\";\n}\n\n.fa-archway::before {\n  content: \"\\f557\";\n}\n\n.fa-heart-circle-check::before {\n  content: \"\\e4fd\";\n}\n\n.fa-house-chimney-crack::before {\n  content: \"\\f6f1\";\n}\n\n.fa-house-damage::before {\n  content: \"\\f6f1\";\n}\n\n.fa-file-zipper::before {\n  content: \"\\f1c6\";\n}\n\n.fa-file-archive::before {\n  content: \"\\f1c6\";\n}\n\n.fa-square::before {\n  content: \"\\f0c8\";\n}\n\n.fa-martini-glass-empty::before {\n  content: \"\\f000\";\n}\n\n.fa-glass-martini::before {\n  content: \"\\f000\";\n}\n\n.fa-couch::before {\n  content: \"\\f4b8\";\n}\n\n.fa-cedi-sign::before {\n  content: \"\\e0df\";\n}\n\n.fa-italic::before {\n  content: \"\\f033\";\n}\n\n.fa-table-cells-column-lock::before {\n  content: \"\\e678\";\n}\n\n.fa-church::before {\n  content: \"\\f51d\";\n}\n\n.fa-comments-dollar::before {\n  content: \"\\f653\";\n}\n\n.fa-democrat::before {\n  content: \"\\f747\";\n}\n\n.fa-z::before {\n  content: \"Z\";\n}\n\n.fa-person-skiing::before {\n  content: \"\\f7c9\";\n}\n\n.fa-skiing::before {\n  content: \"\\f7c9\";\n}\n\n.fa-road-lock::before {\n  content: \"\\e567\";\n}\n\n.fa-a::before {\n  content: \"A\";\n}\n\n.fa-temperature-arrow-down::before {\n  content: \"\\e03f\";\n}\n\n.fa-temperature-down::before {\n  content: \"\\e03f\";\n}\n\n.fa-feather-pointed::before {\n  content: \"\\f56b\";\n}\n\n.fa-feather-alt::before {\n  content: \"\\f56b\";\n}\n\n.fa-p::before {\n  content: \"P\";\n}\n\n.fa-snowflake::before {\n  content: \"\\f2dc\";\n}\n\n.fa-newspaper::before {\n  content: \"\\f1ea\";\n}\n\n.fa-rectangle-ad::before {\n  content: \"\\f641\";\n}\n\n.fa-ad::before {\n  content: \"\\f641\";\n}\n\n.fa-circle-arrow-right::before {\n  content: \"\\f0a9\";\n}\n\n.fa-arrow-circle-right::before {\n  content: \"\\f0a9\";\n}\n\n.fa-filter-circle-xmark::before {\n  content: \"\\e17b\";\n}\n\n.fa-locust::before {\n  content: \"\\e520\";\n}\n\n.fa-sort::before {\n  content: \"\\f0dc\";\n}\n\n.fa-unsorted::before {\n  content: \"\\f0dc\";\n}\n\n.fa-list-ol::before {\n  content: \"\\f0cb\";\n}\n\n.fa-list-1-2::before {\n  content: \"\\f0cb\";\n}\n\n.fa-list-numeric::before {\n  content: \"\\f0cb\";\n}\n\n.fa-person-dress-burst::before {\n  content: \"\\e544\";\n}\n\n.fa-money-check-dollar::before {\n  content: \"\\f53d\";\n}\n\n.fa-money-check-alt::before {\n  content: \"\\f53d\";\n}\n\n.fa-vector-square::before {\n  content: \"\\f5cb\";\n}\n\n.fa-bread-slice::before {\n  content: \"\\f7ec\";\n}\n\n.fa-language::before {\n  content: \"\\f1ab\";\n}\n\n.fa-face-kiss-wink-heart::before {\n  content: \"\\f598\";\n}\n\n.fa-kiss-wink-heart::before {\n  content: \"\\f598\";\n}\n\n.fa-filter::before {\n  content: \"\\f0b0\";\n}\n\n.fa-question::before {\n  content: \"\\?\";\n}\n\n.fa-file-signature::before {\n  content: \"\\f573\";\n}\n\n.fa-up-down-left-right::before {\n  content: \"\\f0b2\";\n}\n\n.fa-arrows-alt::before {\n  content: \"\\f0b2\";\n}\n\n.fa-house-chimney-user::before {\n  content: \"\\e065\";\n}\n\n.fa-hand-holding-heart::before {\n  content: \"\\f4be\";\n}\n\n.fa-puzzle-piece::before {\n  content: \"\\f12e\";\n}\n\n.fa-money-check::before {\n  content: \"\\f53c\";\n}\n\n.fa-star-half-stroke::before {\n  content: \"\\f5c0\";\n}\n\n.fa-star-half-alt::before {\n  content: \"\\f5c0\";\n}\n\n.fa-code::before {\n  content: \"\\f121\";\n}\n\n.fa-whiskey-glass::before {\n  content: \"\\f7a0\";\n}\n\n.fa-glass-whiskey::before {\n  content: \"\\f7a0\";\n}\n\n.fa-building-circle-exclamation::before {\n  content: \"\\e4d3\";\n}\n\n.fa-magnifying-glass-chart::before {\n  content: \"\\e522\";\n}\n\n.fa-arrow-up-right-from-square::before {\n  content: \"\\f08e\";\n}\n\n.fa-external-link::before {\n  content: \"\\f08e\";\n}\n\n.fa-cubes-stacked::before {\n  content: \"\\e4e6\";\n}\n\n.fa-won-sign::before {\n  content: \"\\f159\";\n}\n\n.fa-krw::before {\n  content: \"\\f159\";\n}\n\n.fa-won::before {\n  content: \"\\f159\";\n}\n\n.fa-virus-covid::before {\n  content: \"\\e4a8\";\n}\n\n.fa-austral-sign::before {\n  content: \"\\e0a9\";\n}\n\n.fa-f::before {\n  content: \"F\";\n}\n\n.fa-leaf::before {\n  content: \"\\f06c\";\n}\n\n.fa-road::before {\n  content: \"\\f018\";\n}\n\n.fa-taxi::before {\n  content: \"\\f1ba\";\n}\n\n.fa-cab::before {\n  content: \"\\f1ba\";\n}\n\n.fa-person-circle-plus::before {\n  content: \"\\e541\";\n}\n\n.fa-chart-pie::before {\n  content: \"\\f200\";\n}\n\n.fa-pie-chart::before {\n  content: \"\\f200\";\n}\n\n.fa-bolt-lightning::before {\n  content: \"\\e0b7\";\n}\n\n.fa-sack-xmark::before {\n  content: \"\\e56a\";\n}\n\n.fa-file-excel::before {\n  content: \"\\f1c3\";\n}\n\n.fa-file-contract::before {\n  content: \"\\f56c\";\n}\n\n.fa-fish-fins::before {\n  content: \"\\e4f2\";\n}\n\n.fa-building-flag::before {\n  content: \"\\e4d5\";\n}\n\n.fa-face-grin-beam::before {\n  content: \"\\f582\";\n}\n\n.fa-grin-beam::before {\n  content: \"\\f582\";\n}\n\n.fa-object-ungroup::before {\n  content: \"\\f248\";\n}\n\n.fa-poop::before {\n  content: \"\\f619\";\n}\n\n.fa-location-pin::before {\n  content: \"\\f041\";\n}\n\n.fa-map-marker::before {\n  content: \"\\f041\";\n}\n\n.fa-kaaba::before {\n  content: \"\\f66b\";\n}\n\n.fa-toilet-paper::before {\n  content: \"\\f71e\";\n}\n\n.fa-helmet-safety::before {\n  content: \"\\f807\";\n}\n\n.fa-hard-hat::before {\n  content: \"\\f807\";\n}\n\n.fa-hat-hard::before {\n  content: \"\\f807\";\n}\n\n.fa-eject::before {\n  content: \"\\f052\";\n}\n\n.fa-circle-right::before {\n  content: \"\\f35a\";\n}\n\n.fa-arrow-alt-circle-right::before {\n  content: \"\\f35a\";\n}\n\n.fa-plane-circle-check::before {\n  content: \"\\e555\";\n}\n\n.fa-face-rolling-eyes::before {\n  content: \"\\f5a5\";\n}\n\n.fa-meh-rolling-eyes::before {\n  content: \"\\f5a5\";\n}\n\n.fa-object-group::before {\n  content: \"\\f247\";\n}\n\n.fa-chart-line::before {\n  content: \"\\f201\";\n}\n\n.fa-line-chart::before {\n  content: \"\\f201\";\n}\n\n.fa-mask-ventilator::before {\n  content: \"\\e524\";\n}\n\n.fa-arrow-right::before {\n  content: \"\\f061\";\n}\n\n.fa-signs-post::before {\n  content: \"\\f277\";\n}\n\n.fa-map-signs::before {\n  content: \"\\f277\";\n}\n\n.fa-cash-register::before {\n  content: \"\\f788\";\n}\n\n.fa-person-circle-question::before {\n  content: \"\\e542\";\n}\n\n.fa-h::before {\n  content: \"H\";\n}\n\n.fa-tarp::before {\n  content: \"\\e57b\";\n}\n\n.fa-screwdriver-wrench::before {\n  content: \"\\f7d9\";\n}\n\n.fa-tools::before {\n  content: \"\\f7d9\";\n}\n\n.fa-arrows-to-eye::before {\n  content: \"\\e4bf\";\n}\n\n.fa-plug-circle-bolt::before {\n  content: \"\\e55b\";\n}\n\n.fa-heart::before {\n  content: \"\\f004\";\n}\n\n.fa-mars-and-venus::before {\n  content: \"\\f224\";\n}\n\n.fa-house-user::before {\n  content: \"\\e1b0\";\n}\n\n.fa-home-user::before {\n  content: \"\\e1b0\";\n}\n\n.fa-dumpster-fire::before {\n  content: \"\\f794\";\n}\n\n.fa-house-crack::before {\n  content: \"\\e3b1\";\n}\n\n.fa-martini-glass-citrus::before {\n  content: \"\\f561\";\n}\n\n.fa-cocktail::before {\n  content: \"\\f561\";\n}\n\n.fa-face-surprise::before {\n  content: \"\\f5c2\";\n}\n\n.fa-surprise::before {\n  content: \"\\f5c2\";\n}\n\n.fa-bottle-water::before {\n  content: \"\\e4c5\";\n}\n\n.fa-circle-pause::before {\n  content: \"\\f28b\";\n}\n\n.fa-pause-circle::before {\n  content: \"\\f28b\";\n}\n\n.fa-toilet-paper-slash::before {\n  content: \"\\e072\";\n}\n\n.fa-apple-whole::before {\n  content: \"\\f5d1\";\n}\n\n.fa-apple-alt::before {\n  content: \"\\f5d1\";\n}\n\n.fa-kitchen-set::before {\n  content: \"\\e51a\";\n}\n\n.fa-r::before {\n  content: \"R\";\n}\n\n.fa-temperature-quarter::before {\n  content: \"\\f2ca\";\n}\n\n.fa-temperature-1::before {\n  content: \"\\f2ca\";\n}\n\n.fa-thermometer-1::before {\n  content: \"\\f2ca\";\n}\n\n.fa-thermometer-quarter::before {\n  content: \"\\f2ca\";\n}\n\n.fa-cube::before {\n  content: \"\\f1b2\";\n}\n\n.fa-bitcoin-sign::before {\n  content: \"\\e0b4\";\n}\n\n.fa-shield-dog::before {\n  content: \"\\e573\";\n}\n\n.fa-solar-panel::before {\n  content: \"\\f5ba\";\n}\n\n.fa-lock-open::before {\n  content: \"\\f3c1\";\n}\n\n.fa-elevator::before {\n  content: \"\\e16d\";\n}\n\n.fa-money-bill-transfer::before {\n  content: \"\\e528\";\n}\n\n.fa-money-bill-trend-up::before {\n  content: \"\\e529\";\n}\n\n.fa-house-flood-water-circle-arrow-right::before {\n  content: \"\\e50f\";\n}\n\n.fa-square-poll-horizontal::before {\n  content: \"\\f682\";\n}\n\n.fa-poll-h::before {\n  content: \"\\f682\";\n}\n\n.fa-circle::before {\n  content: \"\\f111\";\n}\n\n.fa-backward-fast::before {\n  content: \"\\f049\";\n}\n\n.fa-fast-backward::before {\n  content: \"\\f049\";\n}\n\n.fa-recycle::before {\n  content: \"\\f1b8\";\n}\n\n.fa-user-astronaut::before {\n  content: \"\\f4fb\";\n}\n\n.fa-plane-slash::before {\n  content: \"\\e069\";\n}\n\n.fa-trademark::before {\n  content: \"\\f25c\";\n}\n\n.fa-basketball::before {\n  content: \"\\f434\";\n}\n\n.fa-basketball-ball::before {\n  content: \"\\f434\";\n}\n\n.fa-satellite-dish::before {\n  content: \"\\f7c0\";\n}\n\n.fa-circle-up::before {\n  content: \"\\f35b\";\n}\n\n.fa-arrow-alt-circle-up::before {\n  content: \"\\f35b\";\n}\n\n.fa-mobile-screen-button::before {\n  content: \"\\f3cd\";\n}\n\n.fa-mobile-alt::before {\n  content: \"\\f3cd\";\n}\n\n.fa-volume-high::before {\n  content: \"\\f028\";\n}\n\n.fa-volume-up::before {\n  content: \"\\f028\";\n}\n\n.fa-users-rays::before {\n  content: \"\\e593\";\n}\n\n.fa-wallet::before {\n  content: \"\\f555\";\n}\n\n.fa-clipboard-check::before {\n  content: \"\\f46c\";\n}\n\n.fa-file-audio::before {\n  content: \"\\f1c7\";\n}\n\n.fa-burger::before {\n  content: \"\\f805\";\n}\n\n.fa-hamburger::before {\n  content: \"\\f805\";\n}\n\n.fa-wrench::before {\n  content: \"\\f0ad\";\n}\n\n.fa-bugs::before {\n  content: \"\\e4d0\";\n}\n\n.fa-rupee-sign::before {\n  content: \"\\f156\";\n}\n\n.fa-rupee::before {\n  content: \"\\f156\";\n}\n\n.fa-file-image::before {\n  content: \"\\f1c5\";\n}\n\n.fa-circle-question::before {\n  content: \"\\f059\";\n}\n\n.fa-question-circle::before {\n  content: \"\\f059\";\n}\n\n.fa-plane-departure::before {\n  content: \"\\f5b0\";\n}\n\n.fa-handshake-slash::before {\n  content: \"\\e060\";\n}\n\n.fa-book-bookmark::before {\n  content: \"\\e0bb\";\n}\n\n.fa-code-branch::before {\n  content: \"\\f126\";\n}\n\n.fa-hat-cowboy::before {\n  content: \"\\f8c0\";\n}\n\n.fa-bridge::before {\n  content: \"\\e4c8\";\n}\n\n.fa-phone-flip::before {\n  content: \"\\f879\";\n}\n\n.fa-phone-alt::before {\n  content: \"\\f879\";\n}\n\n.fa-truck-front::before {\n  content: \"\\e2b7\";\n}\n\n.fa-cat::before {\n  content: \"\\f6be\";\n}\n\n.fa-anchor-circle-exclamation::before {\n  content: \"\\e4ab\";\n}\n\n.fa-truck-field::before {\n  content: \"\\e58d\";\n}\n\n.fa-route::before {\n  content: \"\\f4d7\";\n}\n\n.fa-clipboard-question::before {\n  content: \"\\e4e3\";\n}\n\n.fa-panorama::before {\n  content: \"\\e209\";\n}\n\n.fa-comment-medical::before {\n  content: \"\\f7f5\";\n}\n\n.fa-teeth-open::before {\n  content: \"\\f62f\";\n}\n\n.fa-file-circle-minus::before {\n  content: \"\\e4ed\";\n}\n\n.fa-tags::before {\n  content: \"\\f02c\";\n}\n\n.fa-wine-glass::before {\n  content: \"\\f4e3\";\n}\n\n.fa-forward-fast::before {\n  content: \"\\f050\";\n}\n\n.fa-fast-forward::before {\n  content: \"\\f050\";\n}\n\n.fa-face-meh-blank::before {\n  content: \"\\f5a4\";\n}\n\n.fa-meh-blank::before {\n  content: \"\\f5a4\";\n}\n\n.fa-square-parking::before {\n  content: \"\\f540\";\n}\n\n.fa-parking::before {\n  content: \"\\f540\";\n}\n\n.fa-house-signal::before {\n  content: \"\\e012\";\n}\n\n.fa-bars-progress::before {\n  content: \"\\f828\";\n}\n\n.fa-tasks-alt::before {\n  content: \"\\f828\";\n}\n\n.fa-faucet-drip::before {\n  content: \"\\e006\";\n}\n\n.fa-cart-flatbed::before {\n  content: \"\\f474\";\n}\n\n.fa-dolly-flatbed::before {\n  content: \"\\f474\";\n}\n\n.fa-ban-smoking::before {\n  content: \"\\f54d\";\n}\n\n.fa-smoking-ban::before {\n  content: \"\\f54d\";\n}\n\n.fa-terminal::before {\n  content: \"\\f120\";\n}\n\n.fa-mobile-button::before {\n  content: \"\\f10b\";\n}\n\n.fa-house-medical-flag::before {\n  content: \"\\e514\";\n}\n\n.fa-basket-shopping::before {\n  content: \"\\f291\";\n}\n\n.fa-shopping-basket::before {\n  content: \"\\f291\";\n}\n\n.fa-tape::before {\n  content: \"\\f4db\";\n}\n\n.fa-bus-simple::before {\n  content: \"\\f55e\";\n}\n\n.fa-bus-alt::before {\n  content: \"\\f55e\";\n}\n\n.fa-eye::before {\n  content: \"\\f06e\";\n}\n\n.fa-face-sad-cry::before {\n  content: \"\\f5b3\";\n}\n\n.fa-sad-cry::before {\n  content: \"\\f5b3\";\n}\n\n.fa-audio-description::before {\n  content: \"\\f29e\";\n}\n\n.fa-person-military-to-person::before {\n  content: \"\\e54c\";\n}\n\n.fa-file-shield::before {\n  content: \"\\e4f0\";\n}\n\n.fa-user-slash::before {\n  content: \"\\f506\";\n}\n\n.fa-pen::before {\n  content: \"\\f304\";\n}\n\n.fa-tower-observation::before {\n  content: \"\\e586\";\n}\n\n.fa-file-code::before {\n  content: \"\\f1c9\";\n}\n\n.fa-signal::before {\n  content: \"\\f012\";\n}\n\n.fa-signal-5::before {\n  content: \"\\f012\";\n}\n\n.fa-signal-perfect::before {\n  content: \"\\f012\";\n}\n\n.fa-bus::before {\n  content: \"\\f207\";\n}\n\n.fa-heart-circle-xmark::before {\n  content: \"\\e501\";\n}\n\n.fa-house-chimney::before {\n  content: \"\\e3af\";\n}\n\n.fa-home-lg::before {\n  content: \"\\e3af\";\n}\n\n.fa-window-maximize::before {\n  content: \"\\f2d0\";\n}\n\n.fa-face-frown::before {\n  content: \"\\f119\";\n}\n\n.fa-frown::before {\n  content: \"\\f119\";\n}\n\n.fa-prescription::before {\n  content: \"\\f5b1\";\n}\n\n.fa-shop::before {\n  content: \"\\f54f\";\n}\n\n.fa-store-alt::before {\n  content: \"\\f54f\";\n}\n\n.fa-floppy-disk::before {\n  content: \"\\f0c7\";\n}\n\n.fa-save::before {\n  content: \"\\f0c7\";\n}\n\n.fa-vihara::before {\n  content: \"\\f6a7\";\n}\n\n.fa-scale-unbalanced::before {\n  content: \"\\f515\";\n}\n\n.fa-balance-scale-left::before {\n  content: \"\\f515\";\n}\n\n.fa-sort-up::before {\n  content: \"\\f0de\";\n}\n\n.fa-sort-asc::before {\n  content: \"\\f0de\";\n}\n\n.fa-comment-dots::before {\n  content: \"\\f4ad\";\n}\n\n.fa-commenting::before {\n  content: \"\\f4ad\";\n}\n\n.fa-plant-wilt::before {\n  content: \"\\e5aa\";\n}\n\n.fa-diamond::before {\n  content: \"\\f219\";\n}\n\n.fa-face-grin-squint::before {\n  content: \"\\f585\";\n}\n\n.fa-grin-squint::before {\n  content: \"\\f585\";\n}\n\n.fa-hand-holding-dollar::before {\n  content: \"\\f4c0\";\n}\n\n.fa-hand-holding-usd::before {\n  content: \"\\f4c0\";\n}\n\n.fa-bacterium::before {\n  content: \"\\e05a\";\n}\n\n.fa-hand-pointer::before {\n  content: \"\\f25a\";\n}\n\n.fa-drum-steelpan::before {\n  content: \"\\f56a\";\n}\n\n.fa-hand-scissors::before {\n  content: \"\\f257\";\n}\n\n.fa-hands-praying::before {\n  content: \"\\f684\";\n}\n\n.fa-praying-hands::before {\n  content: \"\\f684\";\n}\n\n.fa-arrow-rotate-right::before {\n  content: \"\\f01e\";\n}\n\n.fa-arrow-right-rotate::before {\n  content: \"\\f01e\";\n}\n\n.fa-arrow-rotate-forward::before {\n  content: \"\\f01e\";\n}\n\n.fa-redo::before {\n  content: \"\\f01e\";\n}\n\n.fa-biohazard::before {\n  content: \"\\f780\";\n}\n\n.fa-location-crosshairs::before {\n  content: \"\\f601\";\n}\n\n.fa-location::before {\n  content: \"\\f601\";\n}\n\n.fa-mars-double::before {\n  content: \"\\f227\";\n}\n\n.fa-child-dress::before {\n  content: \"\\e59c\";\n}\n\n.fa-users-between-lines::before {\n  content: \"\\e591\";\n}\n\n.fa-lungs-virus::before {\n  content: \"\\e067\";\n}\n\n.fa-face-grin-tears::before {\n  content: \"\\f588\";\n}\n\n.fa-grin-tears::before {\n  content: \"\\f588\";\n}\n\n.fa-phone::before {\n  content: \"\\f095\";\n}\n\n.fa-calendar-xmark::before {\n  content: \"\\f273\";\n}\n\n.fa-calendar-times::before {\n  content: \"\\f273\";\n}\n\n.fa-child-reaching::before {\n  content: \"\\e59d\";\n}\n\n.fa-head-side-virus::before {\n  content: \"\\e064\";\n}\n\n.fa-user-gear::before {\n  content: \"\\f4fe\";\n}\n\n.fa-user-cog::before {\n  content: \"\\f4fe\";\n}\n\n.fa-arrow-up-1-9::before {\n  content: \"\\f163\";\n}\n\n.fa-sort-numeric-up::before {\n  content: \"\\f163\";\n}\n\n.fa-door-closed::before {\n  content: \"\\f52a\";\n}\n\n.fa-shield-virus::before {\n  content: \"\\e06c\";\n}\n\n.fa-dice-six::before {\n  content: \"\\f526\";\n}\n\n.fa-mosquito-net::before {\n  content: \"\\e52c\";\n}\n\n.fa-bridge-water::before {\n  content: \"\\e4ce\";\n}\n\n.fa-person-booth::before {\n  content: \"\\f756\";\n}\n\n.fa-text-width::before {\n  content: \"\\f035\";\n}\n\n.fa-hat-wizard::before {\n  content: \"\\f6e8\";\n}\n\n.fa-pen-fancy::before {\n  content: \"\\f5ac\";\n}\n\n.fa-person-digging::before {\n  content: \"\\f85e\";\n}\n\n.fa-digging::before {\n  content: \"\\f85e\";\n}\n\n.fa-trash::before {\n  content: \"\\f1f8\";\n}\n\n.fa-gauge-simple::before {\n  content: \"\\f629\";\n}\n\n.fa-gauge-simple-med::before {\n  content: \"\\f629\";\n}\n\n.fa-tachometer-average::before {\n  content: \"\\f629\";\n}\n\n.fa-book-medical::before {\n  content: \"\\f7e6\";\n}\n\n.fa-poo::before {\n  content: \"\\f2fe\";\n}\n\n.fa-quote-right::before {\n  content: \"\\f10e\";\n}\n\n.fa-quote-right-alt::before {\n  content: \"\\f10e\";\n}\n\n.fa-shirt::before {\n  content: \"\\f553\";\n}\n\n.fa-t-shirt::before {\n  content: \"\\f553\";\n}\n\n.fa-tshirt::before {\n  content: \"\\f553\";\n}\n\n.fa-cubes::before {\n  content: \"\\f1b3\";\n}\n\n.fa-divide::before {\n  content: \"\\f529\";\n}\n\n.fa-tenge-sign::before {\n  content: \"\\f7d7\";\n}\n\n.fa-tenge::before {\n  content: \"\\f7d7\";\n}\n\n.fa-headphones::before {\n  content: \"\\f025\";\n}\n\n.fa-hands-holding::before {\n  content: \"\\f4c2\";\n}\n\n.fa-hands-clapping::before {\n  content: \"\\e1a8\";\n}\n\n.fa-republican::before {\n  content: \"\\f75e\";\n}\n\n.fa-arrow-left::before {\n  content: \"\\f060\";\n}\n\n.fa-person-circle-xmark::before {\n  content: \"\\e543\";\n}\n\n.fa-ruler::before {\n  content: \"\\f545\";\n}\n\n.fa-align-left::before {\n  content: \"\\f036\";\n}\n\n.fa-dice-d6::before {\n  content: \"\\f6d1\";\n}\n\n.fa-restroom::before {\n  content: \"\\f7bd\";\n}\n\n.fa-j::before {\n  content: \"J\";\n}\n\n.fa-users-viewfinder::before {\n  content: \"\\e595\";\n}\n\n.fa-file-video::before {\n  content: \"\\f1c8\";\n}\n\n.fa-up-right-from-square::before {\n  content: \"\\f35d\";\n}\n\n.fa-external-link-alt::before {\n  content: \"\\f35d\";\n}\n\n.fa-table-cells::before {\n  content: \"\\f00a\";\n}\n\n.fa-th::before {\n  content: \"\\f00a\";\n}\n\n.fa-file-pdf::before {\n  content: \"\\f1c1\";\n}\n\n.fa-book-bible::before {\n  content: \"\\f647\";\n}\n\n.fa-bible::before {\n  content: \"\\f647\";\n}\n\n.fa-o::before {\n  content: \"O\";\n}\n\n.fa-suitcase-medical::before {\n  content: \"\\f0fa\";\n}\n\n.fa-medkit::before {\n  content: \"\\f0fa\";\n}\n\n.fa-user-secret::before {\n  content: \"\\f21b\";\n}\n\n.fa-otter::before {\n  content: \"\\f700\";\n}\n\n.fa-person-dress::before {\n  content: \"\\f182\";\n}\n\n.fa-female::before {\n  content: \"\\f182\";\n}\n\n.fa-comment-dollar::before {\n  content: \"\\f651\";\n}\n\n.fa-business-time::before {\n  content: \"\\f64a\";\n}\n\n.fa-briefcase-clock::before {\n  content: \"\\f64a\";\n}\n\n.fa-table-cells-large::before {\n  content: \"\\f009\";\n}\n\n.fa-th-large::before {\n  content: \"\\f009\";\n}\n\n.fa-book-tanakh::before {\n  content: \"\\f827\";\n}\n\n.fa-tanakh::before {\n  content: \"\\f827\";\n}\n\n.fa-phone-volume::before {\n  content: \"\\f2a0\";\n}\n\n.fa-volume-control-phone::before {\n  content: \"\\f2a0\";\n}\n\n.fa-hat-cowboy-side::before {\n  content: \"\\f8c1\";\n}\n\n.fa-clipboard-user::before {\n  content: \"\\f7f3\";\n}\n\n.fa-child::before {\n  content: \"\\f1ae\";\n}\n\n.fa-lira-sign::before {\n  content: \"\\f195\";\n}\n\n.fa-satellite::before {\n  content: \"\\f7bf\";\n}\n\n.fa-plane-lock::before {\n  content: \"\\e558\";\n}\n\n.fa-tag::before {\n  content: \"\\f02b\";\n}\n\n.fa-comment::before {\n  content: \"\\f075\";\n}\n\n.fa-cake-candles::before {\n  content: \"\\f1fd\";\n}\n\n.fa-birthday-cake::before {\n  content: \"\\f1fd\";\n}\n\n.fa-cake::before {\n  content: \"\\f1fd\";\n}\n\n.fa-envelope::before {\n  content: \"\\f0e0\";\n}\n\n.fa-angles-up::before {\n  content: \"\\f102\";\n}\n\n.fa-angle-double-up::before {\n  content: \"\\f102\";\n}\n\n.fa-paperclip::before {\n  content: \"\\f0c6\";\n}\n\n.fa-arrow-right-to-city::before {\n  content: \"\\e4b3\";\n}\n\n.fa-ribbon::before {\n  content: \"\\f4d6\";\n}\n\n.fa-lungs::before {\n  content: \"\\f604\";\n}\n\n.fa-arrow-up-9-1::before {\n  content: \"\\f887\";\n}\n\n.fa-sort-numeric-up-alt::before {\n  content: \"\\f887\";\n}\n\n.fa-litecoin-sign::before {\n  content: \"\\e1d3\";\n}\n\n.fa-border-none::before {\n  content: \"\\f850\";\n}\n\n.fa-circle-nodes::before {\n  content: \"\\e4e2\";\n}\n\n.fa-parachute-box::before {\n  content: \"\\f4cd\";\n}\n\n.fa-indent::before {\n  content: \"\\f03c\";\n}\n\n.fa-truck-field-un::before {\n  content: \"\\e58e\";\n}\n\n.fa-hourglass::before {\n  content: \"\\f254\";\n}\n\n.fa-hourglass-empty::before {\n  content: \"\\f254\";\n}\n\n.fa-mountain::before {\n  content: \"\\f6fc\";\n}\n\n.fa-user-doctor::before {\n  content: \"\\f0f0\";\n}\n\n.fa-user-md::before {\n  content: \"\\f0f0\";\n}\n\n.fa-circle-info::before {\n  content: \"\\f05a\";\n}\n\n.fa-info-circle::before {\n  content: \"\\f05a\";\n}\n\n.fa-cloud-meatball::before {\n  content: \"\\f73b\";\n}\n\n.fa-camera::before {\n  content: \"\\f030\";\n}\n\n.fa-camera-alt::before {\n  content: \"\\f030\";\n}\n\n.fa-square-virus::before {\n  content: \"\\e578\";\n}\n\n.fa-meteor::before {\n  content: \"\\f753\";\n}\n\n.fa-car-on::before {\n  content: \"\\e4dd\";\n}\n\n.fa-sleigh::before {\n  content: \"\\f7cc\";\n}\n\n.fa-arrow-down-1-9::before {\n  content: \"\\f162\";\n}\n\n.fa-sort-numeric-asc::before {\n  content: \"\\f162\";\n}\n\n.fa-sort-numeric-down::before {\n  content: \"\\f162\";\n}\n\n.fa-hand-holding-droplet::before {\n  content: \"\\f4c1\";\n}\n\n.fa-hand-holding-water::before {\n  content: \"\\f4c1\";\n}\n\n.fa-water::before {\n  content: \"\\f773\";\n}\n\n.fa-calendar-check::before {\n  content: \"\\f274\";\n}\n\n.fa-braille::before {\n  content: \"\\f2a1\";\n}\n\n.fa-prescription-bottle-medical::before {\n  content: \"\\f486\";\n}\n\n.fa-prescription-bottle-alt::before {\n  content: \"\\f486\";\n}\n\n.fa-landmark::before {\n  content: \"\\f66f\";\n}\n\n.fa-truck::before {\n  content: \"\\f0d1\";\n}\n\n.fa-crosshairs::before {\n  content: \"\\f05b\";\n}\n\n.fa-person-cane::before {\n  content: \"\\e53c\";\n}\n\n.fa-tent::before {\n  content: \"\\e57d\";\n}\n\n.fa-vest-patches::before {\n  content: \"\\e086\";\n}\n\n.fa-check-double::before {\n  content: \"\\f560\";\n}\n\n.fa-arrow-down-a-z::before {\n  content: \"\\f15d\";\n}\n\n.fa-sort-alpha-asc::before {\n  content: \"\\f15d\";\n}\n\n.fa-sort-alpha-down::before {\n  content: \"\\f15d\";\n}\n\n.fa-money-bill-wheat::before {\n  content: \"\\e52a\";\n}\n\n.fa-cookie::before {\n  content: \"\\f563\";\n}\n\n.fa-arrow-rotate-left::before {\n  content: \"\\f0e2\";\n}\n\n.fa-arrow-left-rotate::before {\n  content: \"\\f0e2\";\n}\n\n.fa-arrow-rotate-back::before {\n  content: \"\\f0e2\";\n}\n\n.fa-arrow-rotate-backward::before {\n  content: \"\\f0e2\";\n}\n\n.fa-undo::before {\n  content: \"\\f0e2\";\n}\n\n.fa-hard-drive::before {\n  content: \"\\f0a0\";\n}\n\n.fa-hdd::before {\n  content: \"\\f0a0\";\n}\n\n.fa-face-grin-squint-tears::before {\n  content: \"\\f586\";\n}\n\n.fa-grin-squint-tears::before {\n  content: \"\\f586\";\n}\n\n.fa-dumbbell::before {\n  content: \"\\f44b\";\n}\n\n.fa-rectangle-list::before {\n  content: \"\\f022\";\n}\n\n.fa-list-alt::before {\n  content: \"\\f022\";\n}\n\n.fa-tarp-droplet::before {\n  content: \"\\e57c\";\n}\n\n.fa-house-medical-circle-check::before {\n  content: \"\\e511\";\n}\n\n.fa-person-skiing-nordic::before {\n  content: \"\\f7ca\";\n}\n\n.fa-skiing-nordic::before {\n  content: \"\\f7ca\";\n}\n\n.fa-calendar-plus::before {\n  content: \"\\f271\";\n}\n\n.fa-plane-arrival::before {\n  content: \"\\f5af\";\n}\n\n.fa-circle-left::before {\n  content: \"\\f359\";\n}\n\n.fa-arrow-alt-circle-left::before {\n  content: \"\\f359\";\n}\n\n.fa-train-subway::before {\n  content: \"\\f239\";\n}\n\n.fa-subway::before {\n  content: \"\\f239\";\n}\n\n.fa-chart-gantt::before {\n  content: \"\\e0e4\";\n}\n\n.fa-indian-rupee-sign::before {\n  content: \"\\e1bc\";\n}\n\n.fa-indian-rupee::before {\n  content: \"\\e1bc\";\n}\n\n.fa-inr::before {\n  content: \"\\e1bc\";\n}\n\n.fa-crop-simple::before {\n  content: \"\\f565\";\n}\n\n.fa-crop-alt::before {\n  content: \"\\f565\";\n}\n\n.fa-money-bill-1::before {\n  content: \"\\f3d1\";\n}\n\n.fa-money-bill-alt::before {\n  content: \"\\f3d1\";\n}\n\n.fa-left-long::before {\n  content: \"\\f30a\";\n}\n\n.fa-long-arrow-alt-left::before {\n  content: \"\\f30a\";\n}\n\n.fa-dna::before {\n  content: \"\\f471\";\n}\n\n.fa-virus-slash::before {\n  content: \"\\e075\";\n}\n\n.fa-minus::before {\n  content: \"\\f068\";\n}\n\n.fa-subtract::before {\n  content: \"\\f068\";\n}\n\n.fa-chess::before {\n  content: \"\\f439\";\n}\n\n.fa-arrow-left-long::before {\n  content: \"\\f177\";\n}\n\n.fa-long-arrow-left::before {\n  content: \"\\f177\";\n}\n\n.fa-plug-circle-check::before {\n  content: \"\\e55c\";\n}\n\n.fa-street-view::before {\n  content: \"\\f21d\";\n}\n\n.fa-franc-sign::before {\n  content: \"\\e18f\";\n}\n\n.fa-volume-off::before {\n  content: \"\\f026\";\n}\n\n.fa-hands-asl-interpreting::before {\n  content: \"\\f2a3\";\n}\n\n.fa-american-sign-language-interpreting::before {\n  content: \"\\f2a3\";\n}\n\n.fa-asl-interpreting::before {\n  content: \"\\f2a3\";\n}\n\n.fa-hands-american-sign-language-interpreting::before {\n  content: \"\\f2a3\";\n}\n\n.fa-gear::before {\n  content: \"\\f013\";\n}\n\n.fa-cog::before {\n  content: \"\\f013\";\n}\n\n.fa-droplet-slash::before {\n  content: \"\\f5c7\";\n}\n\n.fa-tint-slash::before {\n  content: \"\\f5c7\";\n}\n\n.fa-mosque::before {\n  content: \"\\f678\";\n}\n\n.fa-mosquito::before {\n  content: \"\\e52b\";\n}\n\n.fa-star-of-david::before {\n  content: \"\\f69a\";\n}\n\n.fa-person-military-rifle::before {\n  content: \"\\e54b\";\n}\n\n.fa-cart-shopping::before {\n  content: \"\\f07a\";\n}\n\n.fa-shopping-cart::before {\n  content: \"\\f07a\";\n}\n\n.fa-vials::before {\n  content: \"\\f493\";\n}\n\n.fa-plug-circle-plus::before {\n  content: \"\\e55f\";\n}\n\n.fa-place-of-worship::before {\n  content: \"\\f67f\";\n}\n\n.fa-grip-vertical::before {\n  content: \"\\f58e\";\n}\n\n.fa-arrow-turn-up::before {\n  content: \"\\f148\";\n}\n\n.fa-level-up::before {\n  content: \"\\f148\";\n}\n\n.fa-u::before {\n  content: \"U\";\n}\n\n.fa-square-root-variable::before {\n  content: \"\\f698\";\n}\n\n.fa-square-root-alt::before {\n  content: \"\\f698\";\n}\n\n.fa-clock::before {\n  content: \"\\f017\";\n}\n\n.fa-clock-four::before {\n  content: \"\\f017\";\n}\n\n.fa-backward-step::before {\n  content: \"\\f048\";\n}\n\n.fa-step-backward::before {\n  content: \"\\f048\";\n}\n\n.fa-pallet::before {\n  content: \"\\f482\";\n}\n\n.fa-faucet::before {\n  content: \"\\e005\";\n}\n\n.fa-baseball-bat-ball::before {\n  content: \"\\f432\";\n}\n\n.fa-s::before {\n  content: \"S\";\n}\n\n.fa-timeline::before {\n  content: \"\\e29c\";\n}\n\n.fa-keyboard::before {\n  content: \"\\f11c\";\n}\n\n.fa-caret-down::before {\n  content: \"\\f0d7\";\n}\n\n.fa-house-chimney-medical::before {\n  content: \"\\f7f2\";\n}\n\n.fa-clinic-medical::before {\n  content: \"\\f7f2\";\n}\n\n.fa-temperature-three-quarters::before {\n  content: \"\\f2c8\";\n}\n\n.fa-temperature-3::before {\n  content: \"\\f2c8\";\n}\n\n.fa-thermometer-3::before {\n  content: \"\\f2c8\";\n}\n\n.fa-thermometer-three-quarters::before {\n  content: \"\\f2c8\";\n}\n\n.fa-mobile-screen::before {\n  content: \"\\f3cf\";\n}\n\n.fa-mobile-android-alt::before {\n  content: \"\\f3cf\";\n}\n\n.fa-plane-up::before {\n  content: \"\\e22d\";\n}\n\n.fa-piggy-bank::before {\n  content: \"\\f4d3\";\n}\n\n.fa-battery-half::before {\n  content: \"\\f242\";\n}\n\n.fa-battery-3::before {\n  content: \"\\f242\";\n}\n\n.fa-mountain-city::before {\n  content: \"\\e52e\";\n}\n\n.fa-coins::before {\n  content: \"\\f51e\";\n}\n\n.fa-khanda::before {\n  content: \"\\f66d\";\n}\n\n.fa-sliders::before {\n  content: \"\\f1de\";\n}\n\n.fa-sliders-h::before {\n  content: \"\\f1de\";\n}\n\n.fa-folder-tree::before {\n  content: \"\\f802\";\n}\n\n.fa-network-wired::before {\n  content: \"\\f6ff\";\n}\n\n.fa-map-pin::before {\n  content: \"\\f276\";\n}\n\n.fa-hamsa::before {\n  content: \"\\f665\";\n}\n\n.fa-cent-sign::before {\n  content: \"\\e3f5\";\n}\n\n.fa-flask::before {\n  content: \"\\f0c3\";\n}\n\n.fa-person-pregnant::before {\n  content: \"\\e31e\";\n}\n\n.fa-wand-sparkles::before {\n  content: \"\\f72b\";\n}\n\n.fa-ellipsis-vertical::before {\n  content: \"\\f142\";\n}\n\n.fa-ellipsis-v::before {\n  content: \"\\f142\";\n}\n\n.fa-ticket::before {\n  content: \"\\f145\";\n}\n\n.fa-power-off::before {\n  content: \"\\f011\";\n}\n\n.fa-right-long::before {\n  content: \"\\f30b\";\n}\n\n.fa-long-arrow-alt-right::before {\n  content: \"\\f30b\";\n}\n\n.fa-flag-usa::before {\n  content: \"\\f74d\";\n}\n\n.fa-laptop-file::before {\n  content: \"\\e51d\";\n}\n\n.fa-tty::before {\n  content: \"\\f1e4\";\n}\n\n.fa-teletype::before {\n  content: \"\\f1e4\";\n}\n\n.fa-diagram-next::before {\n  content: \"\\e476\";\n}\n\n.fa-person-rifle::before {\n  content: \"\\e54e\";\n}\n\n.fa-house-medical-circle-exclamation::before {\n  content: \"\\e512\";\n}\n\n.fa-closed-captioning::before {\n  content: \"\\f20a\";\n}\n\n.fa-person-hiking::before {\n  content: \"\\f6ec\";\n}\n\n.fa-hiking::before {\n  content: \"\\f6ec\";\n}\n\n.fa-venus-double::before {\n  content: \"\\f226\";\n}\n\n.fa-images::before {\n  content: \"\\f302\";\n}\n\n.fa-calculator::before {\n  content: \"\\f1ec\";\n}\n\n.fa-people-pulling::before {\n  content: \"\\e535\";\n}\n\n.fa-n::before {\n  content: \"N\";\n}\n\n.fa-cable-car::before {\n  content: \"\\f7da\";\n}\n\n.fa-tram::before {\n  content: \"\\f7da\";\n}\n\n.fa-cloud-rain::before {\n  content: \"\\f73d\";\n}\n\n.fa-building-circle-xmark::before {\n  content: \"\\e4d4\";\n}\n\n.fa-ship::before {\n  content: \"\\f21a\";\n}\n\n.fa-arrows-down-to-line::before {\n  content: \"\\e4b8\";\n}\n\n.fa-download::before {\n  content: \"\\f019\";\n}\n\n.fa-face-grin::before {\n  content: \"\\f580\";\n}\n\n.fa-grin::before {\n  content: \"\\f580\";\n}\n\n.fa-delete-left::before {\n  content: \"\\f55a\";\n}\n\n.fa-backspace::before {\n  content: \"\\f55a\";\n}\n\n.fa-eye-dropper::before {\n  content: \"\\f1fb\";\n}\n\n.fa-eye-dropper-empty::before {\n  content: \"\\f1fb\";\n}\n\n.fa-eyedropper::before {\n  content: \"\\f1fb\";\n}\n\n.fa-file-circle-check::before {\n  content: \"\\e5a0\";\n}\n\n.fa-forward::before {\n  content: \"\\f04e\";\n}\n\n.fa-mobile::before {\n  content: \"\\f3ce\";\n}\n\n.fa-mobile-android::before {\n  content: \"\\f3ce\";\n}\n\n.fa-mobile-phone::before {\n  content: \"\\f3ce\";\n}\n\n.fa-face-meh::before {\n  content: \"\\f11a\";\n}\n\n.fa-meh::before {\n  content: \"\\f11a\";\n}\n\n.fa-align-center::before {\n  content: \"\\f037\";\n}\n\n.fa-book-skull::before {\n  content: \"\\f6b7\";\n}\n\n.fa-book-dead::before {\n  content: \"\\f6b7\";\n}\n\n.fa-id-card::before {\n  content: \"\\f2c2\";\n}\n\n.fa-drivers-license::before {\n  content: \"\\f2c2\";\n}\n\n.fa-outdent::before {\n  content: \"\\f03b\";\n}\n\n.fa-dedent::before {\n  content: \"\\f03b\";\n}\n\n.fa-heart-circle-exclamation::before {\n  content: \"\\e4fe\";\n}\n\n.fa-house::before {\n  content: \"\\f015\";\n}\n\n.fa-home::before {\n  content: \"\\f015\";\n}\n\n.fa-home-alt::before {\n  content: \"\\f015\";\n}\n\n.fa-home-lg-alt::before {\n  content: \"\\f015\";\n}\n\n.fa-calendar-week::before {\n  content: \"\\f784\";\n}\n\n.fa-laptop-medical::before {\n  content: \"\\f812\";\n}\n\n.fa-b::before {\n  content: \"B\";\n}\n\n.fa-file-medical::before {\n  content: \"\\f477\";\n}\n\n.fa-dice-one::before {\n  content: \"\\f525\";\n}\n\n.fa-kiwi-bird::before {\n  content: \"\\f535\";\n}\n\n.fa-arrow-right-arrow-left::before {\n  content: \"\\f0ec\";\n}\n\n.fa-exchange::before {\n  content: \"\\f0ec\";\n}\n\n.fa-rotate-right::before {\n  content: \"\\f2f9\";\n}\n\n.fa-redo-alt::before {\n  content: \"\\f2f9\";\n}\n\n.fa-rotate-forward::before {\n  content: \"\\f2f9\";\n}\n\n.fa-utensils::before {\n  content: \"\\f2e7\";\n}\n\n.fa-cutlery::before {\n  content: \"\\f2e7\";\n}\n\n.fa-arrow-up-wide-short::before {\n  content: \"\\f161\";\n}\n\n.fa-sort-amount-up::before {\n  content: \"\\f161\";\n}\n\n.fa-mill-sign::before {\n  content: \"\\e1ed\";\n}\n\n.fa-bowl-rice::before {\n  content: \"\\e2eb\";\n}\n\n.fa-skull::before {\n  content: \"\\f54c\";\n}\n\n.fa-tower-broadcast::before {\n  content: \"\\f519\";\n}\n\n.fa-broadcast-tower::before {\n  content: \"\\f519\";\n}\n\n.fa-truck-pickup::before {\n  content: \"\\f63c\";\n}\n\n.fa-up-long::before {\n  content: \"\\f30c\";\n}\n\n.fa-long-arrow-alt-up::before {\n  content: \"\\f30c\";\n}\n\n.fa-stop::before {\n  content: \"\\f04d\";\n}\n\n.fa-code-merge::before {\n  content: \"\\f387\";\n}\n\n.fa-upload::before {\n  content: \"\\f093\";\n}\n\n.fa-hurricane::before {\n  content: \"\\f751\";\n}\n\n.fa-mound::before {\n  content: \"\\e52d\";\n}\n\n.fa-toilet-portable::before {\n  content: \"\\e583\";\n}\n\n.fa-compact-disc::before {\n  content: \"\\f51f\";\n}\n\n.fa-file-arrow-down::before {\n  content: \"\\f56d\";\n}\n\n.fa-file-download::before {\n  content: \"\\f56d\";\n}\n\n.fa-caravan::before {\n  content: \"\\f8ff\";\n}\n\n.fa-shield-cat::before {\n  content: \"\\e572\";\n}\n\n.fa-bolt::before {\n  content: \"\\f0e7\";\n}\n\n.fa-zap::before {\n  content: \"\\f0e7\";\n}\n\n.fa-glass-water::before {\n  content: \"\\e4f4\";\n}\n\n.fa-oil-well::before {\n  content: \"\\e532\";\n}\n\n.fa-vault::before {\n  content: \"\\e2c5\";\n}\n\n.fa-mars::before {\n  content: \"\\f222\";\n}\n\n.fa-toilet::before {\n  content: \"\\f7d8\";\n}\n\n.fa-plane-circle-xmark::before {\n  content: \"\\e557\";\n}\n\n.fa-yen-sign::before {\n  content: \"\\f157\";\n}\n\n.fa-cny::before {\n  content: \"\\f157\";\n}\n\n.fa-jpy::before {\n  content: \"\\f157\";\n}\n\n.fa-rmb::before {\n  content: \"\\f157\";\n}\n\n.fa-yen::before {\n  content: \"\\f157\";\n}\n\n.fa-ruble-sign::before {\n  content: \"\\f158\";\n}\n\n.fa-rouble::before {\n  content: \"\\f158\";\n}\n\n.fa-rub::before {\n  content: \"\\f158\";\n}\n\n.fa-ruble::before {\n  content: \"\\f158\";\n}\n\n.fa-sun::before {\n  content: \"\\f185\";\n}\n\n.fa-guitar::before {\n  content: \"\\f7a6\";\n}\n\n.fa-face-laugh-wink::before {\n  content: \"\\f59c\";\n}\n\n.fa-laugh-wink::before {\n  content: \"\\f59c\";\n}\n\n.fa-horse-head::before {\n  content: \"\\f7ab\";\n}\n\n.fa-bore-hole::before {\n  content: \"\\e4c3\";\n}\n\n.fa-industry::before {\n  content: \"\\f275\";\n}\n\n.fa-circle-down::before {\n  content: \"\\f358\";\n}\n\n.fa-arrow-alt-circle-down::before {\n  content: \"\\f358\";\n}\n\n.fa-arrows-turn-to-dots::before {\n  content: \"\\e4c1\";\n}\n\n.fa-florin-sign::before {\n  content: \"\\e184\";\n}\n\n.fa-arrow-down-short-wide::before {\n  content: \"\\f884\";\n}\n\n.fa-sort-amount-desc::before {\n  content: \"\\f884\";\n}\n\n.fa-sort-amount-down-alt::before {\n  content: \"\\f884\";\n}\n\n.fa-less-than::before {\n  content: \"\\<\";\n}\n\n.fa-angle-down::before {\n  content: \"\\f107\";\n}\n\n.fa-car-tunnel::before {\n  content: \"\\e4de\";\n}\n\n.fa-head-side-cough::before {\n  content: \"\\e061\";\n}\n\n.fa-grip-lines::before {\n  content: \"\\f7a4\";\n}\n\n.fa-thumbs-down::before {\n  content: \"\\f165\";\n}\n\n.fa-user-lock::before {\n  content: \"\\f502\";\n}\n\n.fa-arrow-right-long::before {\n  content: \"\\f178\";\n}\n\n.fa-long-arrow-right::before {\n  content: \"\\f178\";\n}\n\n.fa-anchor-circle-xmark::before {\n  content: \"\\e4ac\";\n}\n\n.fa-ellipsis::before {\n  content: \"\\f141\";\n}\n\n.fa-ellipsis-h::before {\n  content: \"\\f141\";\n}\n\n.fa-chess-pawn::before {\n  content: \"\\f443\";\n}\n\n.fa-kit-medical::before {\n  content: \"\\f479\";\n}\n\n.fa-first-aid::before {\n  content: \"\\f479\";\n}\n\n.fa-person-through-window::before {\n  content: \"\\e5a9\";\n}\n\n.fa-toolbox::before {\n  content: \"\\f552\";\n}\n\n.fa-hands-holding-circle::before {\n  content: \"\\e4fb\";\n}\n\n.fa-bug::before {\n  content: \"\\f188\";\n}\n\n.fa-credit-card::before {\n  content: \"\\f09d\";\n}\n\n.fa-credit-card-alt::before {\n  content: \"\\f09d\";\n}\n\n.fa-car::before {\n  content: \"\\f1b9\";\n}\n\n.fa-automobile::before {\n  content: \"\\f1b9\";\n}\n\n.fa-hand-holding-hand::before {\n  content: \"\\e4f7\";\n}\n\n.fa-book-open-reader::before {\n  content: \"\\f5da\";\n}\n\n.fa-book-reader::before {\n  content: \"\\f5da\";\n}\n\n.fa-mountain-sun::before {\n  content: \"\\e52f\";\n}\n\n.fa-arrows-left-right-to-line::before {\n  content: \"\\e4ba\";\n}\n\n.fa-dice-d20::before {\n  content: \"\\f6cf\";\n}\n\n.fa-truck-droplet::before {\n  content: \"\\e58c\";\n}\n\n.fa-file-circle-xmark::before {\n  content: \"\\e5a1\";\n}\n\n.fa-temperature-arrow-up::before {\n  content: \"\\e040\";\n}\n\n.fa-temperature-up::before {\n  content: \"\\e040\";\n}\n\n.fa-medal::before {\n  content: \"\\f5a2\";\n}\n\n.fa-bed::before {\n  content: \"\\f236\";\n}\n\n.fa-square-h::before {\n  content: \"\\f0fd\";\n}\n\n.fa-h-square::before {\n  content: \"\\f0fd\";\n}\n\n.fa-podcast::before {\n  content: \"\\f2ce\";\n}\n\n.fa-temperature-full::before {\n  content: \"\\f2c7\";\n}\n\n.fa-temperature-4::before {\n  content: \"\\f2c7\";\n}\n\n.fa-thermometer-4::before {\n  content: \"\\f2c7\";\n}\n\n.fa-thermometer-full::before {\n  content: \"\\f2c7\";\n}\n\n.fa-bell::before {\n  content: \"\\f0f3\";\n}\n\n.fa-superscript::before {\n  content: \"\\f12b\";\n}\n\n.fa-plug-circle-xmark::before {\n  content: \"\\e560\";\n}\n\n.fa-star-of-life::before {\n  content: \"\\f621\";\n}\n\n.fa-phone-slash::before {\n  content: \"\\f3dd\";\n}\n\n.fa-paint-roller::before {\n  content: \"\\f5aa\";\n}\n\n.fa-handshake-angle::before {\n  content: \"\\f4c4\";\n}\n\n.fa-hands-helping::before {\n  content: \"\\f4c4\";\n}\n\n.fa-location-dot::before {\n  content: \"\\f3c5\";\n}\n\n.fa-map-marker-alt::before {\n  content: \"\\f3c5\";\n}\n\n.fa-file::before {\n  content: \"\\f15b\";\n}\n\n.fa-greater-than::before {\n  content: \"\\>\";\n}\n\n.fa-person-swimming::before {\n  content: \"\\f5c4\";\n}\n\n.fa-swimmer::before {\n  content: \"\\f5c4\";\n}\n\n.fa-arrow-down::before {\n  content: \"\\f063\";\n}\n\n.fa-droplet::before {\n  content: \"\\f043\";\n}\n\n.fa-tint::before {\n  content: \"\\f043\";\n}\n\n.fa-eraser::before {\n  content: \"\\f12d\";\n}\n\n.fa-earth-americas::before {\n  content: \"\\f57d\";\n}\n\n.fa-earth::before {\n  content: \"\\f57d\";\n}\n\n.fa-earth-america::before {\n  content: \"\\f57d\";\n}\n\n.fa-globe-americas::before {\n  content: \"\\f57d\";\n}\n\n.fa-person-burst::before {\n  content: \"\\e53b\";\n}\n\n.fa-dove::before {\n  content: \"\\f4ba\";\n}\n\n.fa-battery-empty::before {\n  content: \"\\f244\";\n}\n\n.fa-battery-0::before {\n  content: \"\\f244\";\n}\n\n.fa-socks::before {\n  content: \"\\f696\";\n}\n\n.fa-inbox::before {\n  content: \"\\f01c\";\n}\n\n.fa-section::before {\n  content: \"\\e447\";\n}\n\n.fa-gauge-high::before {\n  content: \"\\f625\";\n}\n\n.fa-tachometer-alt::before {\n  content: \"\\f625\";\n}\n\n.fa-tachometer-alt-fast::before {\n  content: \"\\f625\";\n}\n\n.fa-envelope-open-text::before {\n  content: \"\\f658\";\n}\n\n.fa-hospital::before {\n  content: \"\\f0f8\";\n}\n\n.fa-hospital-alt::before {\n  content: \"\\f0f8\";\n}\n\n.fa-hospital-wide::before {\n  content: \"\\f0f8\";\n}\n\n.fa-wine-bottle::before {\n  content: \"\\f72f\";\n}\n\n.fa-chess-rook::before {\n  content: \"\\f447\";\n}\n\n.fa-bars-staggered::before {\n  content: \"\\f550\";\n}\n\n.fa-reorder::before {\n  content: \"\\f550\";\n}\n\n.fa-stream::before {\n  content: \"\\f550\";\n}\n\n.fa-dharmachakra::before {\n  content: \"\\f655\";\n}\n\n.fa-hotdog::before {\n  content: \"\\f80f\";\n}\n\n.fa-person-walking-with-cane::before {\n  content: \"\\f29d\";\n}\n\n.fa-blind::before {\n  content: \"\\f29d\";\n}\n\n.fa-drum::before {\n  content: \"\\f569\";\n}\n\n.fa-ice-cream::before {\n  content: \"\\f810\";\n}\n\n.fa-heart-circle-bolt::before {\n  content: \"\\e4fc\";\n}\n\n.fa-fax::before {\n  content: \"\\f1ac\";\n}\n\n.fa-paragraph::before {\n  content: \"\\f1dd\";\n}\n\n.fa-check-to-slot::before {\n  content: \"\\f772\";\n}\n\n.fa-vote-yea::before {\n  content: \"\\f772\";\n}\n\n.fa-star-half::before {\n  content: \"\\f089\";\n}\n\n.fa-boxes-stacked::before {\n  content: \"\\f468\";\n}\n\n.fa-boxes::before {\n  content: \"\\f468\";\n}\n\n.fa-boxes-alt::before {\n  content: \"\\f468\";\n}\n\n.fa-link::before {\n  content: \"\\f0c1\";\n}\n\n.fa-chain::before {\n  content: \"\\f0c1\";\n}\n\n.fa-ear-listen::before {\n  content: \"\\f2a2\";\n}\n\n.fa-assistive-listening-systems::before {\n  content: \"\\f2a2\";\n}\n\n.fa-tree-city::before {\n  content: \"\\e587\";\n}\n\n.fa-play::before {\n  content: \"\\f04b\";\n}\n\n.fa-font::before {\n  content: \"\\f031\";\n}\n\n.fa-table-cells-row-lock::before {\n  content: \"\\e67a\";\n}\n\n.fa-rupiah-sign::before {\n  content: \"\\e23d\";\n}\n\n.fa-magnifying-glass::before {\n  content: \"\\f002\";\n}\n\n.fa-search::before {\n  content: \"\\f002\";\n}\n\n.fa-table-tennis-paddle-ball::before {\n  content: \"\\f45d\";\n}\n\n.fa-ping-pong-paddle-ball::before {\n  content: \"\\f45d\";\n}\n\n.fa-table-tennis::before {\n  content: \"\\f45d\";\n}\n\n.fa-person-dots-from-line::before {\n  content: \"\\f470\";\n}\n\n.fa-diagnoses::before {\n  content: \"\\f470\";\n}\n\n.fa-trash-can-arrow-up::before {\n  content: \"\\f82a\";\n}\n\n.fa-trash-restore-alt::before {\n  content: \"\\f82a\";\n}\n\n.fa-naira-sign::before {\n  content: \"\\e1f6\";\n}\n\n.fa-cart-arrow-down::before {\n  content: \"\\f218\";\n}\n\n.fa-walkie-talkie::before {\n  content: \"\\f8ef\";\n}\n\n.fa-file-pen::before {\n  content: \"\\f31c\";\n}\n\n.fa-file-edit::before {\n  content: \"\\f31c\";\n}\n\n.fa-receipt::before {\n  content: \"\\f543\";\n}\n\n.fa-square-pen::before {\n  content: \"\\f14b\";\n}\n\n.fa-pen-square::before {\n  content: \"\\f14b\";\n}\n\n.fa-pencil-square::before {\n  content: \"\\f14b\";\n}\n\n.fa-suitcase-rolling::before {\n  content: \"\\f5c1\";\n}\n\n.fa-person-circle-exclamation::before {\n  content: \"\\e53f\";\n}\n\n.fa-chevron-down::before {\n  content: \"\\f078\";\n}\n\n.fa-battery-full::before {\n  content: \"\\f240\";\n}\n\n.fa-battery::before {\n  content: \"\\f240\";\n}\n\n.fa-battery-5::before {\n  content: \"\\f240\";\n}\n\n.fa-skull-crossbones::before {\n  content: \"\\f714\";\n}\n\n.fa-code-compare::before {\n  content: \"\\e13a\";\n}\n\n.fa-list-ul::before {\n  content: \"\\f0ca\";\n}\n\n.fa-list-dots::before {\n  content: \"\\f0ca\";\n}\n\n.fa-school-lock::before {\n  content: \"\\e56f\";\n}\n\n.fa-tower-cell::before {\n  content: \"\\e585\";\n}\n\n.fa-down-long::before {\n  content: \"\\f309\";\n}\n\n.fa-long-arrow-alt-down::before {\n  content: \"\\f309\";\n}\n\n.fa-ranking-star::before {\n  content: \"\\e561\";\n}\n\n.fa-chess-king::before {\n  content: \"\\f43f\";\n}\n\n.fa-person-harassing::before {\n  content: \"\\e549\";\n}\n\n.fa-brazilian-real-sign::before {\n  content: \"\\e46c\";\n}\n\n.fa-landmark-dome::before {\n  content: \"\\f752\";\n}\n\n.fa-landmark-alt::before {\n  content: \"\\f752\";\n}\n\n.fa-arrow-up::before {\n  content: \"\\f062\";\n}\n\n.fa-tv::before {\n  content: \"\\f26c\";\n}\n\n.fa-television::before {\n  content: \"\\f26c\";\n}\n\n.fa-tv-alt::before {\n  content: \"\\f26c\";\n}\n\n.fa-shrimp::before {\n  content: \"\\e448\";\n}\n\n.fa-list-check::before {\n  content: \"\\f0ae\";\n}\n\n.fa-tasks::before {\n  content: \"\\f0ae\";\n}\n\n.fa-jug-detergent::before {\n  content: \"\\e519\";\n}\n\n.fa-circle-user::before {\n  content: \"\\f2bd\";\n}\n\n.fa-user-circle::before {\n  content: \"\\f2bd\";\n}\n\n.fa-user-shield::before {\n  content: \"\\f505\";\n}\n\n.fa-wind::before {\n  content: \"\\f72e\";\n}\n\n.fa-car-burst::before {\n  content: \"\\f5e1\";\n}\n\n.fa-car-crash::before {\n  content: \"\\f5e1\";\n}\n\n.fa-y::before {\n  content: \"Y\";\n}\n\n.fa-person-snowboarding::before {\n  content: \"\\f7ce\";\n}\n\n.fa-snowboarding::before {\n  content: \"\\f7ce\";\n}\n\n.fa-truck-fast::before {\n  content: \"\\f48b\";\n}\n\n.fa-shipping-fast::before {\n  content: \"\\f48b\";\n}\n\n.fa-fish::before {\n  content: \"\\f578\";\n}\n\n.fa-user-graduate::before {\n  content: \"\\f501\";\n}\n\n.fa-circle-half-stroke::before {\n  content: \"\\f042\";\n}\n\n.fa-adjust::before {\n  content: \"\\f042\";\n}\n\n.fa-clapperboard::before {\n  content: \"\\e131\";\n}\n\n.fa-circle-radiation::before {\n  content: \"\\f7ba\";\n}\n\n.fa-radiation-alt::before {\n  content: \"\\f7ba\";\n}\n\n.fa-baseball::before {\n  content: \"\\f433\";\n}\n\n.fa-baseball-ball::before {\n  content: \"\\f433\";\n}\n\n.fa-jet-fighter-up::before {\n  content: \"\\e518\";\n}\n\n.fa-diagram-project::before {\n  content: \"\\f542\";\n}\n\n.fa-project-diagram::before {\n  content: \"\\f542\";\n}\n\n.fa-copy::before {\n  content: \"\\f0c5\";\n}\n\n.fa-volume-xmark::before {\n  content: \"\\f6a9\";\n}\n\n.fa-volume-mute::before {\n  content: \"\\f6a9\";\n}\n\n.fa-volume-times::before {\n  content: \"\\f6a9\";\n}\n\n.fa-hand-sparkles::before {\n  content: \"\\e05d\";\n}\n\n.fa-grip::before {\n  content: \"\\f58d\";\n}\n\n.fa-grip-horizontal::before {\n  content: \"\\f58d\";\n}\n\n.fa-share-from-square::before {\n  content: \"\\f14d\";\n}\n\n.fa-share-square::before {\n  content: \"\\f14d\";\n}\n\n.fa-child-combatant::before {\n  content: \"\\e4e0\";\n}\n\n.fa-child-rifle::before {\n  content: \"\\e4e0\";\n}\n\n.fa-gun::before {\n  content: \"\\e19b\";\n}\n\n.fa-square-phone::before {\n  content: \"\\f098\";\n}\n\n.fa-phone-square::before {\n  content: \"\\f098\";\n}\n\n.fa-plus::before {\n  content: \"\\+\";\n}\n\n.fa-add::before {\n  content: \"\\+\";\n}\n\n.fa-expand::before {\n  content: \"\\f065\";\n}\n\n.fa-computer::before {\n  content: \"\\e4e5\";\n}\n\n.fa-xmark::before {\n  content: \"\\f00d\";\n}\n\n.fa-close::before {\n  content: \"\\f00d\";\n}\n\n.fa-multiply::before {\n  content: \"\\f00d\";\n}\n\n.fa-remove::before {\n  content: \"\\f00d\";\n}\n\n.fa-times::before {\n  content: \"\\f00d\";\n}\n\n.fa-arrows-up-down-left-right::before {\n  content: \"\\f047\";\n}\n\n.fa-arrows::before {\n  content: \"\\f047\";\n}\n\n.fa-chalkboard-user::before {\n  content: \"\\f51c\";\n}\n\n.fa-chalkboard-teacher::before {\n  content: \"\\f51c\";\n}\n\n.fa-peso-sign::before {\n  content: \"\\e222\";\n}\n\n.fa-building-shield::before {\n  content: \"\\e4d8\";\n}\n\n.fa-baby::before {\n  content: \"\\f77c\";\n}\n\n.fa-users-line::before {\n  content: \"\\e592\";\n}\n\n.fa-quote-left::before {\n  content: \"\\f10d\";\n}\n\n.fa-quote-left-alt::before {\n  content: \"\\f10d\";\n}\n\n.fa-tractor::before {\n  content: \"\\f722\";\n}\n\n.fa-trash-arrow-up::before {\n  content: \"\\f829\";\n}\n\n.fa-trash-restore::before {\n  content: \"\\f829\";\n}\n\n.fa-arrow-down-up-lock::before {\n  content: \"\\e4b0\";\n}\n\n.fa-lines-leaning::before {\n  content: \"\\e51e\";\n}\n\n.fa-ruler-combined::before {\n  content: \"\\f546\";\n}\n\n.fa-copyright::before {\n  content: \"\\f1f9\";\n}\n\n.fa-equals::before {\n  content: \"\\=\";\n}\n\n.fa-blender::before {\n  content: \"\\f517\";\n}\n\n.fa-teeth::before {\n  content: \"\\f62e\";\n}\n\n.fa-shekel-sign::before {\n  content: \"\\f20b\";\n}\n\n.fa-ils::before {\n  content: \"\\f20b\";\n}\n\n.fa-shekel::before {\n  content: \"\\f20b\";\n}\n\n.fa-sheqel::before {\n  content: \"\\f20b\";\n}\n\n.fa-sheqel-sign::before {\n  content: \"\\f20b\";\n}\n\n.fa-map::before {\n  content: \"\\f279\";\n}\n\n.fa-rocket::before {\n  content: \"\\f135\";\n}\n\n.fa-photo-film::before {\n  content: \"\\f87c\";\n}\n\n.fa-photo-video::before {\n  content: \"\\f87c\";\n}\n\n.fa-folder-minus::before {\n  content: \"\\f65d\";\n}\n\n.fa-store::before {\n  content: \"\\f54e\";\n}\n\n.fa-arrow-trend-up::before {\n  content: \"\\e098\";\n}\n\n.fa-plug-circle-minus::before {\n  content: \"\\e55e\";\n}\n\n.fa-sign-hanging::before {\n  content: \"\\f4d9\";\n}\n\n.fa-sign::before {\n  content: \"\\f4d9\";\n}\n\n.fa-bezier-curve::before {\n  content: \"\\f55b\";\n}\n\n.fa-bell-slash::before {\n  content: \"\\f1f6\";\n}\n\n.fa-tablet::before {\n  content: \"\\f3fb\";\n}\n\n.fa-tablet-android::before {\n  content: \"\\f3fb\";\n}\n\n.fa-school-flag::before {\n  content: \"\\e56e\";\n}\n\n.fa-fill::before {\n  content: \"\\f575\";\n}\n\n.fa-angle-up::before {\n  content: \"\\f106\";\n}\n\n.fa-drumstick-bite::before {\n  content: \"\\f6d7\";\n}\n\n.fa-holly-berry::before {\n  content: \"\\f7aa\";\n}\n\n.fa-chevron-left::before {\n  content: \"\\f053\";\n}\n\n.fa-bacteria::before {\n  content: \"\\e059\";\n}\n\n.fa-hand-lizard::before {\n  content: \"\\f258\";\n}\n\n.fa-notdef::before {\n  content: \"\\e1fe\";\n}\n\n.fa-disease::before {\n  content: \"\\f7fa\";\n}\n\n.fa-briefcase-medical::before {\n  content: \"\\f469\";\n}\n\n.fa-genderless::before {\n  content: \"\\f22d\";\n}\n\n.fa-chevron-right::before {\n  content: \"\\f054\";\n}\n\n.fa-retweet::before {\n  content: \"\\f079\";\n}\n\n.fa-car-rear::before {\n  content: \"\\f5de\";\n}\n\n.fa-car-alt::before {\n  content: \"\\f5de\";\n}\n\n.fa-pump-soap::before {\n  content: \"\\e06b\";\n}\n\n.fa-video-slash::before {\n  content: \"\\f4e2\";\n}\n\n.fa-battery-quarter::before {\n  content: \"\\f243\";\n}\n\n.fa-battery-2::before {\n  content: \"\\f243\";\n}\n\n.fa-radio::before {\n  content: \"\\f8d7\";\n}\n\n.fa-baby-carriage::before {\n  content: \"\\f77d\";\n}\n\n.fa-carriage-baby::before {\n  content: \"\\f77d\";\n}\n\n.fa-traffic-light::before {\n  content: \"\\f637\";\n}\n\n.fa-thermometer::before {\n  content: \"\\f491\";\n}\n\n.fa-vr-cardboard::before {\n  content: \"\\f729\";\n}\n\n.fa-hand-middle-finger::before {\n  content: \"\\f806\";\n}\n\n.fa-percent::before {\n  content: \"\\%\";\n}\n\n.fa-percentage::before {\n  content: \"\\%\";\n}\n\n.fa-truck-moving::before {\n  content: \"\\f4df\";\n}\n\n.fa-glass-water-droplet::before {\n  content: \"\\e4f5\";\n}\n\n.fa-display::before {\n  content: \"\\e163\";\n}\n\n.fa-face-smile::before {\n  content: \"\\f118\";\n}\n\n.fa-smile::before {\n  content: \"\\f118\";\n}\n\n.fa-thumbtack::before {\n  content: \"\\f08d\";\n}\n\n.fa-thumb-tack::before {\n  content: \"\\f08d\";\n}\n\n.fa-trophy::before {\n  content: \"\\f091\";\n}\n\n.fa-person-praying::before {\n  content: \"\\f683\";\n}\n\n.fa-pray::before {\n  content: \"\\f683\";\n}\n\n.fa-hammer::before {\n  content: \"\\f6e3\";\n}\n\n.fa-hand-peace::before {\n  content: \"\\f25b\";\n}\n\n.fa-rotate::before {\n  content: \"\\f2f1\";\n}\n\n.fa-sync-alt::before {\n  content: \"\\f2f1\";\n}\n\n.fa-spinner::before {\n  content: \"\\f110\";\n}\n\n.fa-robot::before {\n  content: \"\\f544\";\n}\n\n.fa-peace::before {\n  content: \"\\f67c\";\n}\n\n.fa-gears::before {\n  content: \"\\f085\";\n}\n\n.fa-cogs::before {\n  content: \"\\f085\";\n}\n\n.fa-warehouse::before {\n  content: \"\\f494\";\n}\n\n.fa-arrow-up-right-dots::before {\n  content: \"\\e4b7\";\n}\n\n.fa-splotch::before {\n  content: \"\\f5bc\";\n}\n\n.fa-face-grin-hearts::before {\n  content: \"\\f584\";\n}\n\n.fa-grin-hearts::before {\n  content: \"\\f584\";\n}\n\n.fa-dice-four::before {\n  content: \"\\f524\";\n}\n\n.fa-sim-card::before {\n  content: \"\\f7c4\";\n}\n\n.fa-transgender::before {\n  content: \"\\f225\";\n}\n\n.fa-transgender-alt::before {\n  content: \"\\f225\";\n}\n\n.fa-mercury::before {\n  content: \"\\f223\";\n}\n\n.fa-arrow-turn-down::before {\n  content: \"\\f149\";\n}\n\n.fa-level-down::before {\n  content: \"\\f149\";\n}\n\n.fa-person-falling-burst::before {\n  content: \"\\e547\";\n}\n\n.fa-award::before {\n  content: \"\\f559\";\n}\n\n.fa-ticket-simple::before {\n  content: \"\\f3ff\";\n}\n\n.fa-ticket-alt::before {\n  content: \"\\f3ff\";\n}\n\n.fa-building::before {\n  content: \"\\f1ad\";\n}\n\n.fa-angles-left::before {\n  content: \"\\f100\";\n}\n\n.fa-angle-double-left::before {\n  content: \"\\f100\";\n}\n\n.fa-qrcode::before {\n  content: \"\\f029\";\n}\n\n.fa-clock-rotate-left::before {\n  content: \"\\f1da\";\n}\n\n.fa-history::before {\n  content: \"\\f1da\";\n}\n\n.fa-face-grin-beam-sweat::before {\n  content: \"\\f583\";\n}\n\n.fa-grin-beam-sweat::before {\n  content: \"\\f583\";\n}\n\n.fa-file-export::before {\n  content: \"\\f56e\";\n}\n\n.fa-arrow-right-from-file::before {\n  content: \"\\f56e\";\n}\n\n.fa-shield::before {\n  content: \"\\f132\";\n}\n\n.fa-shield-blank::before {\n  content: \"\\f132\";\n}\n\n.fa-arrow-up-short-wide::before {\n  content: \"\\f885\";\n}\n\n.fa-sort-amount-up-alt::before {\n  content: \"\\f885\";\n}\n\n.fa-house-medical::before {\n  content: \"\\e3b2\";\n}\n\n.fa-golf-ball-tee::before {\n  content: \"\\f450\";\n}\n\n.fa-golf-ball::before {\n  content: \"\\f450\";\n}\n\n.fa-circle-chevron-left::before {\n  content: \"\\f137\";\n}\n\n.fa-chevron-circle-left::before {\n  content: \"\\f137\";\n}\n\n.fa-house-chimney-window::before {\n  content: \"\\e00d\";\n}\n\n.fa-pen-nib::before {\n  content: \"\\f5ad\";\n}\n\n.fa-tent-arrow-turn-left::before {\n  content: \"\\e580\";\n}\n\n.fa-tents::before {\n  content: \"\\e582\";\n}\n\n.fa-wand-magic::before {\n  content: \"\\f0d0\";\n}\n\n.fa-magic::before {\n  content: \"\\f0d0\";\n}\n\n.fa-dog::before {\n  content: \"\\f6d3\";\n}\n\n.fa-carrot::before {\n  content: \"\\f787\";\n}\n\n.fa-moon::before {\n  content: \"\\f186\";\n}\n\n.fa-wine-glass-empty::before {\n  content: \"\\f5ce\";\n}\n\n.fa-wine-glass-alt::before {\n  content: \"\\f5ce\";\n}\n\n.fa-cheese::before {\n  content: \"\\f7ef\";\n}\n\n.fa-yin-yang::before {\n  content: \"\\f6ad\";\n}\n\n.fa-music::before {\n  content: \"\\f001\";\n}\n\n.fa-code-commit::before {\n  content: \"\\f386\";\n}\n\n.fa-temperature-low::before {\n  content: \"\\f76b\";\n}\n\n.fa-person-biking::before {\n  content: \"\\f84a\";\n}\n\n.fa-biking::before {\n  content: \"\\f84a\";\n}\n\n.fa-broom::before {\n  content: \"\\f51a\";\n}\n\n.fa-shield-heart::before {\n  content: \"\\e574\";\n}\n\n.fa-gopuram::before {\n  content: \"\\f664\";\n}\n\n.fa-earth-oceania::before {\n  content: \"\\e47b\";\n}\n\n.fa-globe-oceania::before {\n  content: \"\\e47b\";\n}\n\n.fa-square-xmark::before {\n  content: \"\\f2d3\";\n}\n\n.fa-times-square::before {\n  content: \"\\f2d3\";\n}\n\n.fa-xmark-square::before {\n  content: \"\\f2d3\";\n}\n\n.fa-hashtag::before {\n  content: \"\\#\";\n}\n\n.fa-up-right-and-down-left-from-center::before {\n  content: \"\\f424\";\n}\n\n.fa-expand-alt::before {\n  content: \"\\f424\";\n}\n\n.fa-oil-can::before {\n  content: \"\\f613\";\n}\n\n.fa-t::before {\n  content: \"T\";\n}\n\n.fa-hippo::before {\n  content: \"\\f6ed\";\n}\n\n.fa-chart-column::before {\n  content: \"\\e0e3\";\n}\n\n.fa-infinity::before {\n  content: \"\\f534\";\n}\n\n.fa-vial-circle-check::before {\n  content: \"\\e596\";\n}\n\n.fa-person-arrow-down-to-line::before {\n  content: \"\\e538\";\n}\n\n.fa-voicemail::before {\n  content: \"\\f897\";\n}\n\n.fa-fan::before {\n  content: \"\\f863\";\n}\n\n.fa-person-walking-luggage::before {\n  content: \"\\e554\";\n}\n\n.fa-up-down::before {\n  content: \"\\f338\";\n}\n\n.fa-arrows-alt-v::before {\n  content: \"\\f338\";\n}\n\n.fa-cloud-moon-rain::before {\n  content: \"\\f73c\";\n}\n\n.fa-calendar::before {\n  content: \"\\f133\";\n}\n\n.fa-trailer::before {\n  content: \"\\e041\";\n}\n\n.fa-bahai::before {\n  content: \"\\f666\";\n}\n\n.fa-haykal::before {\n  content: \"\\f666\";\n}\n\n.fa-sd-card::before {\n  content: \"\\f7c2\";\n}\n\n.fa-dragon::before {\n  content: \"\\f6d5\";\n}\n\n.fa-shoe-prints::before {\n  content: \"\\f54b\";\n}\n\n.fa-circle-plus::before {\n  content: \"\\f055\";\n}\n\n.fa-plus-circle::before {\n  content: \"\\f055\";\n}\n\n.fa-face-grin-tongue-wink::before {\n  content: \"\\f58b\";\n}\n\n.fa-grin-tongue-wink::before {\n  content: \"\\f58b\";\n}\n\n.fa-hand-holding::before {\n  content: \"\\f4bd\";\n}\n\n.fa-plug-circle-exclamation::before {\n  content: \"\\e55d\";\n}\n\n.fa-link-slash::before {\n  content: \"\\f127\";\n}\n\n.fa-chain-broken::before {\n  content: \"\\f127\";\n}\n\n.fa-chain-slash::before {\n  content: \"\\f127\";\n}\n\n.fa-unlink::before {\n  content: \"\\f127\";\n}\n\n.fa-clone::before {\n  content: \"\\f24d\";\n}\n\n.fa-person-walking-arrow-loop-left::before {\n  content: \"\\e551\";\n}\n\n.fa-arrow-up-z-a::before {\n  content: \"\\f882\";\n}\n\n.fa-sort-alpha-up-alt::before {\n  content: \"\\f882\";\n}\n\n.fa-fire-flame-curved::before {\n  content: \"\\f7e4\";\n}\n\n.fa-fire-alt::before {\n  content: \"\\f7e4\";\n}\n\n.fa-tornado::before {\n  content: \"\\f76f\";\n}\n\n.fa-file-circle-plus::before {\n  content: \"\\e494\";\n}\n\n.fa-book-quran::before {\n  content: \"\\f687\";\n}\n\n.fa-quran::before {\n  content: \"\\f687\";\n}\n\n.fa-anchor::before {\n  content: \"\\f13d\";\n}\n\n.fa-border-all::before {\n  content: \"\\f84c\";\n}\n\n.fa-face-angry::before {\n  content: \"\\f556\";\n}\n\n.fa-angry::before {\n  content: \"\\f556\";\n}\n\n.fa-cookie-bite::before {\n  content: \"\\f564\";\n}\n\n.fa-arrow-trend-down::before {\n  content: \"\\e097\";\n}\n\n.fa-rss::before {\n  content: \"\\f09e\";\n}\n\n.fa-feed::before {\n  content: \"\\f09e\";\n}\n\n.fa-draw-polygon::before {\n  content: \"\\f5ee\";\n}\n\n.fa-scale-balanced::before {\n  content: \"\\f24e\";\n}\n\n.fa-balance-scale::before {\n  content: \"\\f24e\";\n}\n\n.fa-gauge-simple-high::before {\n  content: \"\\f62a\";\n}\n\n.fa-tachometer::before {\n  content: \"\\f62a\";\n}\n\n.fa-tachometer-fast::before {\n  content: \"\\f62a\";\n}\n\n.fa-shower::before {\n  content: \"\\f2cc\";\n}\n\n.fa-desktop::before {\n  content: \"\\f390\";\n}\n\n.fa-desktop-alt::before {\n  content: \"\\f390\";\n}\n\n.fa-m::before {\n  content: \"M\";\n}\n\n.fa-table-list::before {\n  content: \"\\f00b\";\n}\n\n.fa-th-list::before {\n  content: \"\\f00b\";\n}\n\n.fa-comment-sms::before {\n  content: \"\\f7cd\";\n}\n\n.fa-sms::before {\n  content: \"\\f7cd\";\n}\n\n.fa-book::before {\n  content: \"\\f02d\";\n}\n\n.fa-user-plus::before {\n  content: \"\\f234\";\n}\n\n.fa-check::before {\n  content: \"\\f00c\";\n}\n\n.fa-battery-three-quarters::before {\n  content: \"\\f241\";\n}\n\n.fa-battery-4::before {\n  content: \"\\f241\";\n}\n\n.fa-house-circle-check::before {\n  content: \"\\e509\";\n}\n\n.fa-angle-left::before {\n  content: \"\\f104\";\n}\n\n.fa-diagram-successor::before {\n  content: \"\\e47a\";\n}\n\n.fa-truck-arrow-right::before {\n  content: \"\\e58b\";\n}\n\n.fa-arrows-split-up-and-left::before {\n  content: \"\\e4bc\";\n}\n\n.fa-hand-fist::before {\n  content: \"\\f6de\";\n}\n\n.fa-fist-raised::before {\n  content: \"\\f6de\";\n}\n\n.fa-cloud-moon::before {\n  content: \"\\f6c3\";\n}\n\n.fa-briefcase::before {\n  content: \"\\f0b1\";\n}\n\n.fa-person-falling::before {\n  content: \"\\e546\";\n}\n\n.fa-image-portrait::before {\n  content: \"\\f3e0\";\n}\n\n.fa-portrait::before {\n  content: \"\\f3e0\";\n}\n\n.fa-user-tag::before {\n  content: \"\\f507\";\n}\n\n.fa-rug::before {\n  content: \"\\e569\";\n}\n\n.fa-earth-europe::before {\n  content: \"\\f7a2\";\n}\n\n.fa-globe-europe::before {\n  content: \"\\f7a2\";\n}\n\n.fa-cart-flatbed-suitcase::before {\n  content: \"\\f59d\";\n}\n\n.fa-luggage-cart::before {\n  content: \"\\f59d\";\n}\n\n.fa-rectangle-xmark::before {\n  content: \"\\f410\";\n}\n\n.fa-rectangle-times::before {\n  content: \"\\f410\";\n}\n\n.fa-times-rectangle::before {\n  content: \"\\f410\";\n}\n\n.fa-window-close::before {\n  content: \"\\f410\";\n}\n\n.fa-baht-sign::before {\n  content: \"\\e0ac\";\n}\n\n.fa-book-open::before {\n  content: \"\\f518\";\n}\n\n.fa-book-journal-whills::before {\n  content: \"\\f66a\";\n}\n\n.fa-journal-whills::before {\n  content: \"\\f66a\";\n}\n\n.fa-handcuffs::before {\n  content: \"\\e4f8\";\n}\n\n.fa-triangle-exclamation::before {\n  content: \"\\f071\";\n}\n\n.fa-exclamation-triangle::before {\n  content: \"\\f071\";\n}\n\n.fa-warning::before {\n  content: \"\\f071\";\n}\n\n.fa-database::before {\n  content: \"\\f1c0\";\n}\n\n.fa-share::before {\n  content: \"\\f064\";\n}\n\n.fa-mail-forward::before {\n  content: \"\\f064\";\n}\n\n.fa-bottle-droplet::before {\n  content: \"\\e4c4\";\n}\n\n.fa-mask-face::before {\n  content: \"\\e1d7\";\n}\n\n.fa-hill-rockslide::before {\n  content: \"\\e508\";\n}\n\n.fa-right-left::before {\n  content: \"\\f362\";\n}\n\n.fa-exchange-alt::before {\n  content: \"\\f362\";\n}\n\n.fa-paper-plane::before {\n  content: \"\\f1d8\";\n}\n\n.fa-road-circle-exclamation::before {\n  content: \"\\e565\";\n}\n\n.fa-dungeon::before {\n  content: \"\\f6d9\";\n}\n\n.fa-align-right::before {\n  content: \"\\f038\";\n}\n\n.fa-money-bill-1-wave::before {\n  content: \"\\f53b\";\n}\n\n.fa-money-bill-wave-alt::before {\n  content: \"\\f53b\";\n}\n\n.fa-life-ring::before {\n  content: \"\\f1cd\";\n}\n\n.fa-hands::before {\n  content: \"\\f2a7\";\n}\n\n.fa-sign-language::before {\n  content: \"\\f2a7\";\n}\n\n.fa-signing::before {\n  content: \"\\f2a7\";\n}\n\n.fa-calendar-day::before {\n  content: \"\\f783\";\n}\n\n.fa-water-ladder::before {\n  content: \"\\f5c5\";\n}\n\n.fa-ladder-water::before {\n  content: \"\\f5c5\";\n}\n\n.fa-swimming-pool::before {\n  content: \"\\f5c5\";\n}\n\n.fa-arrows-up-down::before {\n  content: \"\\f07d\";\n}\n\n.fa-arrows-v::before {\n  content: \"\\f07d\";\n}\n\n.fa-face-grimace::before {\n  content: \"\\f57f\";\n}\n\n.fa-grimace::before {\n  content: \"\\f57f\";\n}\n\n.fa-wheelchair-move::before {\n  content: \"\\e2ce\";\n}\n\n.fa-wheelchair-alt::before {\n  content: \"\\e2ce\";\n}\n\n.fa-turn-down::before {\n  content: \"\\f3be\";\n}\n\n.fa-level-down-alt::before {\n  content: \"\\f3be\";\n}\n\n.fa-person-walking-arrow-right::before {\n  content: \"\\e552\";\n}\n\n.fa-square-envelope::before {\n  content: \"\\f199\";\n}\n\n.fa-envelope-square::before {\n  content: \"\\f199\";\n}\n\n.fa-dice::before {\n  content: \"\\f522\";\n}\n\n.fa-bowling-ball::before {\n  content: \"\\f436\";\n}\n\n.fa-brain::before {\n  content: \"\\f5dc\";\n}\n\n.fa-bandage::before {\n  content: \"\\f462\";\n}\n\n.fa-band-aid::before {\n  content: \"\\f462\";\n}\n\n.fa-calendar-minus::before {\n  content: \"\\f272\";\n}\n\n.fa-circle-xmark::before {\n  content: \"\\f057\";\n}\n\n.fa-times-circle::before {\n  content: \"\\f057\";\n}\n\n.fa-xmark-circle::before {\n  content: \"\\f057\";\n}\n\n.fa-gifts::before {\n  content: \"\\f79c\";\n}\n\n.fa-hotel::before {\n  content: \"\\f594\";\n}\n\n.fa-earth-asia::before {\n  content: \"\\f57e\";\n}\n\n.fa-globe-asia::before {\n  content: \"\\f57e\";\n}\n\n.fa-id-card-clip::before {\n  content: \"\\f47f\";\n}\n\n.fa-id-card-alt::before {\n  content: \"\\f47f\";\n}\n\n.fa-magnifying-glass-plus::before {\n  content: \"\\f00e\";\n}\n\n.fa-search-plus::before {\n  content: \"\\f00e\";\n}\n\n.fa-thumbs-up::before {\n  content: \"\\f164\";\n}\n\n.fa-user-clock::before {\n  content: \"\\f4fd\";\n}\n\n.fa-hand-dots::before {\n  content: \"\\f461\";\n}\n\n.fa-allergies::before {\n  content: \"\\f461\";\n}\n\n.fa-file-invoice::before {\n  content: \"\\f570\";\n}\n\n.fa-window-minimize::before {\n  content: \"\\f2d1\";\n}\n\n.fa-mug-saucer::before {\n  content: \"\\f0f4\";\n}\n\n.fa-coffee::before {\n  content: \"\\f0f4\";\n}\n\n.fa-brush::before {\n  content: \"\\f55d\";\n}\n\n.fa-mask::before {\n  content: \"\\f6fa\";\n}\n\n.fa-magnifying-glass-minus::before {\n  content: \"\\f010\";\n}\n\n.fa-search-minus::before {\n  content: \"\\f010\";\n}\n\n.fa-ruler-vertical::before {\n  content: \"\\f548\";\n}\n\n.fa-user-large::before {\n  content: \"\\f406\";\n}\n\n.fa-user-alt::before {\n  content: \"\\f406\";\n}\n\n.fa-train-tram::before {\n  content: \"\\e5b4\";\n}\n\n.fa-user-nurse::before {\n  content: \"\\f82f\";\n}\n\n.fa-syringe::before {\n  content: \"\\f48e\";\n}\n\n.fa-cloud-sun::before {\n  content: \"\\f6c4\";\n}\n\n.fa-stopwatch-20::before {\n  content: \"\\e06f\";\n}\n\n.fa-square-full::before {\n  content: \"\\f45c\";\n}\n\n.fa-magnet::before {\n  content: \"\\f076\";\n}\n\n.fa-jar::before {\n  content: \"\\e516\";\n}\n\n.fa-note-sticky::before {\n  content: \"\\f249\";\n}\n\n.fa-sticky-note::before {\n  content: \"\\f249\";\n}\n\n.fa-bug-slash::before {\n  content: \"\\e490\";\n}\n\n.fa-arrow-up-from-water-pump::before {\n  content: \"\\e4b6\";\n}\n\n.fa-bone::before {\n  content: \"\\f5d7\";\n}\n\n.fa-user-injured::before {\n  content: \"\\f728\";\n}\n\n.fa-face-sad-tear::before {\n  content: \"\\f5b4\";\n}\n\n.fa-sad-tear::before {\n  content: \"\\f5b4\";\n}\n\n.fa-plane::before {\n  content: \"\\f072\";\n}\n\n.fa-tent-arrows-down::before {\n  content: \"\\e581\";\n}\n\n.fa-exclamation::before {\n  content: \"\\!\";\n}\n\n.fa-arrows-spin::before {\n  content: \"\\e4bb\";\n}\n\n.fa-print::before {\n  content: \"\\f02f\";\n}\n\n.fa-turkish-lira-sign::before {\n  content: \"\\e2bb\";\n}\n\n.fa-try::before {\n  content: \"\\e2bb\";\n}\n\n.fa-turkish-lira::before {\n  content: \"\\e2bb\";\n}\n\n.fa-dollar-sign::before {\n  content: \"\\$\";\n}\n\n.fa-dollar::before {\n  content: \"\\$\";\n}\n\n.fa-usd::before {\n  content: \"\\$\";\n}\n\n.fa-x::before {\n  content: \"X\";\n}\n\n.fa-magnifying-glass-dollar::before {\n  content: \"\\f688\";\n}\n\n.fa-search-dollar::before {\n  content: \"\\f688\";\n}\n\n.fa-users-gear::before {\n  content: \"\\f509\";\n}\n\n.fa-users-cog::before {\n  content: \"\\f509\";\n}\n\n.fa-person-military-pointing::before {\n  content: \"\\e54a\";\n}\n\n.fa-building-columns::before {\n  content: \"\\f19c\";\n}\n\n.fa-bank::before {\n  content: \"\\f19c\";\n}\n\n.fa-institution::before {\n  content: \"\\f19c\";\n}\n\n.fa-museum::before {\n  content: \"\\f19c\";\n}\n\n.fa-university::before {\n  content: \"\\f19c\";\n}\n\n.fa-umbrella::before {\n  content: \"\\f0e9\";\n}\n\n.fa-trowel::before {\n  content: \"\\e589\";\n}\n\n.fa-d::before {\n  content: \"D\";\n}\n\n.fa-stapler::before {\n  content: \"\\e5af\";\n}\n\n.fa-masks-theater::before {\n  content: \"\\f630\";\n}\n\n.fa-theater-masks::before {\n  content: \"\\f630\";\n}\n\n.fa-kip-sign::before {\n  content: \"\\e1c4\";\n}\n\n.fa-hand-point-left::before {\n  content: \"\\f0a5\";\n}\n\n.fa-handshake-simple::before {\n  content: \"\\f4c6\";\n}\n\n.fa-handshake-alt::before {\n  content: \"\\f4c6\";\n}\n\n.fa-jet-fighter::before {\n  content: \"\\f0fb\";\n}\n\n.fa-fighter-jet::before {\n  content: \"\\f0fb\";\n}\n\n.fa-square-share-nodes::before {\n  content: \"\\f1e1\";\n}\n\n.fa-share-alt-square::before {\n  content: \"\\f1e1\";\n}\n\n.fa-barcode::before {\n  content: \"\\f02a\";\n}\n\n.fa-plus-minus::before {\n  content: \"\\e43c\";\n}\n\n.fa-video::before {\n  content: \"\\f03d\";\n}\n\n.fa-video-camera::before {\n  content: \"\\f03d\";\n}\n\n.fa-graduation-cap::before {\n  content: \"\\f19d\";\n}\n\n.fa-mortar-board::before {\n  content: \"\\f19d\";\n}\n\n.fa-hand-holding-medical::before {\n  content: \"\\e05c\";\n}\n\n.fa-person-circle-check::before {\n  content: \"\\e53e\";\n}\n\n.fa-turn-up::before {\n  content: \"\\f3bf\";\n}\n\n.fa-level-up-alt::before {\n  content: \"\\f3bf\";\n}\n\n.sr-only,\n.fa-sr-only {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  white-space: nowrap;\n  border-width: 0;\n}\n\n.sr-only-focusable:not(:focus),\n.fa-sr-only-focusable:not(:focus) {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  white-space: nowrap;\n  border-width: 0;\n}\n\n/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n:root, :host {\n  --fa-style-family-classic: \"Font Awesome 6 Free\";\n  --fa-font-solid: normal 900 1em/1 \"Font Awesome 6 Free\";\n}\n\n@font-face {\n  font-family: \"Font Awesome 6 Free\";\n  font-style: normal;\n  font-weight: 900;\n  font-display: block;\n  src: url(\"../webfonts/fa-solid-900.woff2\") format(\"woff2\"), url(\"../webfonts/fa-solid-900.ttf\") format(\"truetype\");\n}\n.fas,\n.fa-solid {\n  font-weight: 900;\n}\n\n/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n:root, :host {\n  --fa-style-family-classic: \"Font Awesome 6 Free\";\n  --fa-font-regular: normal 400 1em/1 \"Font Awesome 6 Free\";\n}\n\n@font-face {\n  font-family: \"Font Awesome 6 Free\";\n  font-style: normal;\n  font-weight: 400;\n  font-display: block;\n  src: url(\"../webfonts/fa-regular-400.woff2\") format(\"woff2\"), url(\"../webfonts/fa-regular-400.ttf\") format(\"truetype\");\n}\n.far,\n.fa-regular {\n  font-weight: 400;\n}\n\n/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n:root, :host {\n  --fa-style-family-brands: \"Font Awesome 6 Brands\";\n  --fa-font-brands: normal 400 1em/1 \"Font Awesome 6 Brands\";\n}\n\n@font-face {\n  font-family: \"Font Awesome 6 Brands\";\n  font-style: normal;\n  font-weight: 400;\n  font-display: block;\n  src: url(\"../webfonts/fa-brands-400.woff2\") format(\"woff2\"), url(\"../webfonts/fa-brands-400.ttf\") format(\"truetype\");\n}\n.fab,\n.fa-brands {\n  font-weight: 400;\n}\n\n.fa-monero:before {\n  content: \"\\f3d0\";\n}\n\n.fa-hooli:before {\n  content: \"\\f427\";\n}\n\n.fa-yelp:before {\n  content: \"\\f1e9\";\n}\n\n.fa-cc-visa:before {\n  content: \"\\f1f0\";\n}\n\n.fa-lastfm:before {\n  content: \"\\f202\";\n}\n\n.fa-shopware:before {\n  content: \"\\f5b5\";\n}\n\n.fa-creative-commons-nc:before {\n  content: \"\\f4e8\";\n}\n\n.fa-aws:before {\n  content: \"\\f375\";\n}\n\n.fa-redhat:before {\n  content: \"\\f7bc\";\n}\n\n.fa-yoast:before {\n  content: \"\\f2b1\";\n}\n\n.fa-cloudflare:before {\n  content: \"\\e07d\";\n}\n\n.fa-ups:before {\n  content: \"\\f7e0\";\n}\n\n.fa-pixiv:before {\n  content: \"\\e640\";\n}\n\n.fa-wpexplorer:before {\n  content: \"\\f2de\";\n}\n\n.fa-dyalog:before {\n  content: \"\\f399\";\n}\n\n.fa-bity:before {\n  content: \"\\f37a\";\n}\n\n.fa-stackpath:before {\n  content: \"\\f842\";\n}\n\n.fa-buysellads:before {\n  content: \"\\f20d\";\n}\n\n.fa-first-order:before {\n  content: \"\\f2b0\";\n}\n\n.fa-modx:before {\n  content: \"\\f285\";\n}\n\n.fa-guilded:before {\n  content: \"\\e07e\";\n}\n\n.fa-vnv:before {\n  content: \"\\f40b\";\n}\n\n.fa-square-js:before {\n  content: \"\\f3b9\";\n}\n\n.fa-js-square:before {\n  content: \"\\f3b9\";\n}\n\n.fa-microsoft:before {\n  content: \"\\f3ca\";\n}\n\n.fa-qq:before {\n  content: \"\\f1d6\";\n}\n\n.fa-orcid:before {\n  content: \"\\f8d2\";\n}\n\n.fa-java:before {\n  content: \"\\f4e4\";\n}\n\n.fa-invision:before {\n  content: \"\\f7b0\";\n}\n\n.fa-creative-commons-pd-alt:before {\n  content: \"\\f4ed\";\n}\n\n.fa-centercode:before {\n  content: \"\\f380\";\n}\n\n.fa-glide-g:before {\n  content: \"\\f2a6\";\n}\n\n.fa-drupal:before {\n  content: \"\\f1a9\";\n}\n\n.fa-jxl:before {\n  content: \"\\e67b\";\n}\n\n.fa-hire-a-helper:before {\n  content: \"\\f3b0\";\n}\n\n.fa-creative-commons-by:before {\n  content: \"\\f4e7\";\n}\n\n.fa-unity:before {\n  content: \"\\e049\";\n}\n\n.fa-whmcs:before {\n  content: \"\\f40d\";\n}\n\n.fa-rocketchat:before {\n  content: \"\\f3e8\";\n}\n\n.fa-vk:before {\n  content: \"\\f189\";\n}\n\n.fa-untappd:before {\n  content: \"\\f405\";\n}\n\n.fa-mailchimp:before {\n  content: \"\\f59e\";\n}\n\n.fa-css3-alt:before {\n  content: \"\\f38b\";\n}\n\n.fa-square-reddit:before {\n  content: \"\\f1a2\";\n}\n\n.fa-reddit-square:before {\n  content: \"\\f1a2\";\n}\n\n.fa-vimeo-v:before {\n  content: \"\\f27d\";\n}\n\n.fa-contao:before {\n  content: \"\\f26d\";\n}\n\n.fa-square-font-awesome:before {\n  content: \"\\e5ad\";\n}\n\n.fa-deskpro:before {\n  content: \"\\f38f\";\n}\n\n.fa-brave:before {\n  content: \"\\e63c\";\n}\n\n.fa-sistrix:before {\n  content: \"\\f3ee\";\n}\n\n.fa-square-instagram:before {\n  content: \"\\e055\";\n}\n\n.fa-instagram-square:before {\n  content: \"\\e055\";\n}\n\n.fa-battle-net:before {\n  content: \"\\f835\";\n}\n\n.fa-the-red-yeti:before {\n  content: \"\\f69d\";\n}\n\n.fa-square-hacker-news:before {\n  content: \"\\f3af\";\n}\n\n.fa-hacker-news-square:before {\n  content: \"\\f3af\";\n}\n\n.fa-edge:before {\n  content: \"\\f282\";\n}\n\n.fa-threads:before {\n  content: \"\\e618\";\n}\n\n.fa-napster:before {\n  content: \"\\f3d2\";\n}\n\n.fa-square-snapchat:before {\n  content: \"\\f2ad\";\n}\n\n.fa-snapchat-square:before {\n  content: \"\\f2ad\";\n}\n\n.fa-google-plus-g:before {\n  content: \"\\f0d5\";\n}\n\n.fa-artstation:before {\n  content: \"\\f77a\";\n}\n\n.fa-markdown:before {\n  content: \"\\f60f\";\n}\n\n.fa-sourcetree:before {\n  content: \"\\f7d3\";\n}\n\n.fa-google-plus:before {\n  content: \"\\f2b3\";\n}\n\n.fa-diaspora:before {\n  content: \"\\f791\";\n}\n\n.fa-foursquare:before {\n  content: \"\\f180\";\n}\n\n.fa-stack-overflow:before {\n  content: \"\\f16c\";\n}\n\n.fa-github-alt:before {\n  content: \"\\f113\";\n}\n\n.fa-phoenix-squadron:before {\n  content: \"\\f511\";\n}\n\n.fa-pagelines:before {\n  content: \"\\f18c\";\n}\n\n.fa-algolia:before {\n  content: \"\\f36c\";\n}\n\n.fa-red-river:before {\n  content: \"\\f3e3\";\n}\n\n.fa-creative-commons-sa:before {\n  content: \"\\f4ef\";\n}\n\n.fa-safari:before {\n  content: \"\\f267\";\n}\n\n.fa-google:before {\n  content: \"\\f1a0\";\n}\n\n.fa-square-font-awesome-stroke:before {\n  content: \"\\f35c\";\n}\n\n.fa-font-awesome-alt:before {\n  content: \"\\f35c\";\n}\n\n.fa-atlassian:before {\n  content: \"\\f77b\";\n}\n\n.fa-linkedin-in:before {\n  content: \"\\f0e1\";\n}\n\n.fa-digital-ocean:before {\n  content: \"\\f391\";\n}\n\n.fa-nimblr:before {\n  content: \"\\f5a8\";\n}\n\n.fa-chromecast:before {\n  content: \"\\f838\";\n}\n\n.fa-evernote:before {\n  content: \"\\f839\";\n}\n\n.fa-hacker-news:before {\n  content: \"\\f1d4\";\n}\n\n.fa-creative-commons-sampling:before {\n  content: \"\\f4f0\";\n}\n\n.fa-adversal:before {\n  content: \"\\f36a\";\n}\n\n.fa-creative-commons:before {\n  content: \"\\f25e\";\n}\n\n.fa-watchman-monitoring:before {\n  content: \"\\e087\";\n}\n\n.fa-fonticons:before {\n  content: \"\\f280\";\n}\n\n.fa-weixin:before {\n  content: \"\\f1d7\";\n}\n\n.fa-shirtsinbulk:before {\n  content: \"\\f214\";\n}\n\n.fa-codepen:before {\n  content: \"\\f1cb\";\n}\n\n.fa-git-alt:before {\n  content: \"\\f841\";\n}\n\n.fa-lyft:before {\n  content: \"\\f3c3\";\n}\n\n.fa-rev:before {\n  content: \"\\f5b2\";\n}\n\n.fa-windows:before {\n  content: \"\\f17a\";\n}\n\n.fa-wizards-of-the-coast:before {\n  content: \"\\f730\";\n}\n\n.fa-square-viadeo:before {\n  content: \"\\f2aa\";\n}\n\n.fa-viadeo-square:before {\n  content: \"\\f2aa\";\n}\n\n.fa-meetup:before {\n  content: \"\\f2e0\";\n}\n\n.fa-centos:before {\n  content: \"\\f789\";\n}\n\n.fa-adn:before {\n  content: \"\\f170\";\n}\n\n.fa-cloudsmith:before {\n  content: \"\\f384\";\n}\n\n.fa-opensuse:before {\n  content: \"\\e62b\";\n}\n\n.fa-pied-piper-alt:before {\n  content: \"\\f1a8\";\n}\n\n.fa-square-dribbble:before {\n  content: \"\\f397\";\n}\n\n.fa-dribbble-square:before {\n  content: \"\\f397\";\n}\n\n.fa-codiepie:before {\n  content: \"\\f284\";\n}\n\n.fa-node:before {\n  content: \"\\f419\";\n}\n\n.fa-mix:before {\n  content: \"\\f3cb\";\n}\n\n.fa-steam:before {\n  content: \"\\f1b6\";\n}\n\n.fa-cc-apple-pay:before {\n  content: \"\\f416\";\n}\n\n.fa-scribd:before {\n  content: \"\\f28a\";\n}\n\n.fa-debian:before {\n  content: \"\\e60b\";\n}\n\n.fa-openid:before {\n  content: \"\\f19b\";\n}\n\n.fa-instalod:before {\n  content: \"\\e081\";\n}\n\n.fa-expeditedssl:before {\n  content: \"\\f23e\";\n}\n\n.fa-sellcast:before {\n  content: \"\\f2da\";\n}\n\n.fa-square-twitter:before {\n  content: \"\\f081\";\n}\n\n.fa-twitter-square:before {\n  content: \"\\f081\";\n}\n\n.fa-r-project:before {\n  content: \"\\f4f7\";\n}\n\n.fa-delicious:before {\n  content: \"\\f1a5\";\n}\n\n.fa-freebsd:before {\n  content: \"\\f3a4\";\n}\n\n.fa-vuejs:before {\n  content: \"\\f41f\";\n}\n\n.fa-accusoft:before {\n  content: \"\\f369\";\n}\n\n.fa-ioxhost:before {\n  content: \"\\f208\";\n}\n\n.fa-fonticons-fi:before {\n  content: \"\\f3a2\";\n}\n\n.fa-app-store:before {\n  content: \"\\f36f\";\n}\n\n.fa-cc-mastercard:before {\n  content: \"\\f1f1\";\n}\n\n.fa-itunes-note:before {\n  content: \"\\f3b5\";\n}\n\n.fa-golang:before {\n  content: \"\\e40f\";\n}\n\n.fa-kickstarter:before {\n  content: \"\\f3bb\";\n}\n\n.fa-square-kickstarter:before {\n  content: \"\\f3bb\";\n}\n\n.fa-grav:before {\n  content: \"\\f2d6\";\n}\n\n.fa-weibo:before {\n  content: \"\\f18a\";\n}\n\n.fa-uncharted:before {\n  content: \"\\e084\";\n}\n\n.fa-firstdraft:before {\n  content: \"\\f3a1\";\n}\n\n.fa-square-youtube:before {\n  content: \"\\f431\";\n}\n\n.fa-youtube-square:before {\n  content: \"\\f431\";\n}\n\n.fa-wikipedia-w:before {\n  content: \"\\f266\";\n}\n\n.fa-wpressr:before {\n  content: \"\\f3e4\";\n}\n\n.fa-rendact:before {\n  content: \"\\f3e4\";\n}\n\n.fa-angellist:before {\n  content: \"\\f209\";\n}\n\n.fa-galactic-republic:before {\n  content: \"\\f50c\";\n}\n\n.fa-nfc-directional:before {\n  content: \"\\e530\";\n}\n\n.fa-skype:before {\n  content: \"\\f17e\";\n}\n\n.fa-joget:before {\n  content: \"\\f3b7\";\n}\n\n.fa-fedora:before {\n  content: \"\\f798\";\n}\n\n.fa-stripe-s:before {\n  content: \"\\f42a\";\n}\n\n.fa-meta:before {\n  content: \"\\e49b\";\n}\n\n.fa-laravel:before {\n  content: \"\\f3bd\";\n}\n\n.fa-hotjar:before {\n  content: \"\\f3b1\";\n}\n\n.fa-bluetooth-b:before {\n  content: \"\\f294\";\n}\n\n.fa-square-letterboxd:before {\n  content: \"\\e62e\";\n}\n\n.fa-sticker-mule:before {\n  content: \"\\f3f7\";\n}\n\n.fa-creative-commons-zero:before {\n  content: \"\\f4f3\";\n}\n\n.fa-hips:before {\n  content: \"\\f452\";\n}\n\n.fa-behance:before {\n  content: \"\\f1b4\";\n}\n\n.fa-reddit:before {\n  content: \"\\f1a1\";\n}\n\n.fa-discord:before {\n  content: \"\\f392\";\n}\n\n.fa-chrome:before {\n  content: \"\\f268\";\n}\n\n.fa-app-store-ios:before {\n  content: \"\\f370\";\n}\n\n.fa-cc-discover:before {\n  content: \"\\f1f2\";\n}\n\n.fa-wpbeginner:before {\n  content: \"\\f297\";\n}\n\n.fa-confluence:before {\n  content: \"\\f78d\";\n}\n\n.fa-shoelace:before {\n  content: \"\\e60c\";\n}\n\n.fa-mdb:before {\n  content: \"\\f8ca\";\n}\n\n.fa-dochub:before {\n  content: \"\\f394\";\n}\n\n.fa-accessible-icon:before {\n  content: \"\\f368\";\n}\n\n.fa-ebay:before {\n  content: \"\\f4f4\";\n}\n\n.fa-amazon:before {\n  content: \"\\f270\";\n}\n\n.fa-unsplash:before {\n  content: \"\\e07c\";\n}\n\n.fa-yarn:before {\n  content: \"\\f7e3\";\n}\n\n.fa-square-steam:before {\n  content: \"\\f1b7\";\n}\n\n.fa-steam-square:before {\n  content: \"\\f1b7\";\n}\n\n.fa-500px:before {\n  content: \"\\f26e\";\n}\n\n.fa-square-vimeo:before {\n  content: \"\\f194\";\n}\n\n.fa-vimeo-square:before {\n  content: \"\\f194\";\n}\n\n.fa-asymmetrik:before {\n  content: \"\\f372\";\n}\n\n.fa-font-awesome:before {\n  content: \"\\f2b4\";\n}\n\n.fa-font-awesome-flag:before {\n  content: \"\\f2b4\";\n}\n\n.fa-font-awesome-logo-full:before {\n  content: \"\\f2b4\";\n}\n\n.fa-gratipay:before {\n  content: \"\\f184\";\n}\n\n.fa-apple:before {\n  content: \"\\f179\";\n}\n\n.fa-hive:before {\n  content: \"\\e07f\";\n}\n\n.fa-gitkraken:before {\n  content: \"\\f3a6\";\n}\n\n.fa-keybase:before {\n  content: \"\\f4f5\";\n}\n\n.fa-apple-pay:before {\n  content: \"\\f415\";\n}\n\n.fa-padlet:before {\n  content: \"\\e4a0\";\n}\n\n.fa-amazon-pay:before {\n  content: \"\\f42c\";\n}\n\n.fa-square-github:before {\n  content: \"\\f092\";\n}\n\n.fa-github-square:before {\n  content: \"\\f092\";\n}\n\n.fa-stumbleupon:before {\n  content: \"\\f1a4\";\n}\n\n.fa-fedex:before {\n  content: \"\\f797\";\n}\n\n.fa-phoenix-framework:before {\n  content: \"\\f3dc\";\n}\n\n.fa-shopify:before {\n  content: \"\\e057\";\n}\n\n.fa-neos:before {\n  content: \"\\f612\";\n}\n\n.fa-square-threads:before {\n  content: \"\\e619\";\n}\n\n.fa-hackerrank:before {\n  content: \"\\f5f7\";\n}\n\n.fa-researchgate:before {\n  content: \"\\f4f8\";\n}\n\n.fa-swift:before {\n  content: \"\\f8e1\";\n}\n\n.fa-angular:before {\n  content: \"\\f420\";\n}\n\n.fa-speakap:before {\n  content: \"\\f3f3\";\n}\n\n.fa-angrycreative:before {\n  content: \"\\f36e\";\n}\n\n.fa-y-combinator:before {\n  content: \"\\f23b\";\n}\n\n.fa-empire:before {\n  content: \"\\f1d1\";\n}\n\n.fa-envira:before {\n  content: \"\\f299\";\n}\n\n.fa-google-scholar:before {\n  content: \"\\e63b\";\n}\n\n.fa-square-gitlab:before {\n  content: \"\\e5ae\";\n}\n\n.fa-gitlab-square:before {\n  content: \"\\e5ae\";\n}\n\n.fa-studiovinari:before {\n  content: \"\\f3f8\";\n}\n\n.fa-pied-piper:before {\n  content: \"\\f2ae\";\n}\n\n.fa-wordpress:before {\n  content: \"\\f19a\";\n}\n\n.fa-product-hunt:before {\n  content: \"\\f288\";\n}\n\n.fa-firefox:before {\n  content: \"\\f269\";\n}\n\n.fa-linode:before {\n  content: \"\\f2b8\";\n}\n\n.fa-goodreads:before {\n  content: \"\\f3a8\";\n}\n\n.fa-square-odnoklassniki:before {\n  content: \"\\f264\";\n}\n\n.fa-odnoklassniki-square:before {\n  content: \"\\f264\";\n}\n\n.fa-jsfiddle:before {\n  content: \"\\f1cc\";\n}\n\n.fa-sith:before {\n  content: \"\\f512\";\n}\n\n.fa-themeisle:before {\n  content: \"\\f2b2\";\n}\n\n.fa-page4:before {\n  content: \"\\f3d7\";\n}\n\n.fa-hashnode:before {\n  content: \"\\e499\";\n}\n\n.fa-react:before {\n  content: \"\\f41b\";\n}\n\n.fa-cc-paypal:before {\n  content: \"\\f1f4\";\n}\n\n.fa-squarespace:before {\n  content: \"\\f5be\";\n}\n\n.fa-cc-stripe:before {\n  content: \"\\f1f5\";\n}\n\n.fa-creative-commons-share:before {\n  content: \"\\f4f2\";\n}\n\n.fa-bitcoin:before {\n  content: \"\\f379\";\n}\n\n.fa-keycdn:before {\n  content: \"\\f3ba\";\n}\n\n.fa-opera:before {\n  content: \"\\f26a\";\n}\n\n.fa-itch-io:before {\n  content: \"\\f83a\";\n}\n\n.fa-umbraco:before {\n  content: \"\\f8e8\";\n}\n\n.fa-galactic-senate:before {\n  content: \"\\f50d\";\n}\n\n.fa-ubuntu:before {\n  content: \"\\f7df\";\n}\n\n.fa-draft2digital:before {\n  content: \"\\f396\";\n}\n\n.fa-stripe:before {\n  content: \"\\f429\";\n}\n\n.fa-houzz:before {\n  content: \"\\f27c\";\n}\n\n.fa-gg:before {\n  content: \"\\f260\";\n}\n\n.fa-dhl:before {\n  content: \"\\f790\";\n}\n\n.fa-square-pinterest:before {\n  content: \"\\f0d3\";\n}\n\n.fa-pinterest-square:before {\n  content: \"\\f0d3\";\n}\n\n.fa-xing:before {\n  content: \"\\f168\";\n}\n\n.fa-blackberry:before {\n  content: \"\\f37b\";\n}\n\n.fa-creative-commons-pd:before {\n  content: \"\\f4ec\";\n}\n\n.fa-playstation:before {\n  content: \"\\f3df\";\n}\n\n.fa-quinscape:before {\n  content: \"\\f459\";\n}\n\n.fa-less:before {\n  content: \"\\f41d\";\n}\n\n.fa-blogger-b:before {\n  content: \"\\f37d\";\n}\n\n.fa-opencart:before {\n  content: \"\\f23d\";\n}\n\n.fa-vine:before {\n  content: \"\\f1ca\";\n}\n\n.fa-signal-messenger:before {\n  content: \"\\e663\";\n}\n\n.fa-paypal:before {\n  content: \"\\f1ed\";\n}\n\n.fa-gitlab:before {\n  content: \"\\f296\";\n}\n\n.fa-typo3:before {\n  content: \"\\f42b\";\n}\n\n.fa-reddit-alien:before {\n  content: \"\\f281\";\n}\n\n.fa-yahoo:before {\n  content: \"\\f19e\";\n}\n\n.fa-dailymotion:before {\n  content: \"\\e052\";\n}\n\n.fa-affiliatetheme:before {\n  content: \"\\f36b\";\n}\n\n.fa-pied-piper-pp:before {\n  content: \"\\f1a7\";\n}\n\n.fa-bootstrap:before {\n  content: \"\\f836\";\n}\n\n.fa-odnoklassniki:before {\n  content: \"\\f263\";\n}\n\n.fa-nfc-symbol:before {\n  content: \"\\e531\";\n}\n\n.fa-mintbit:before {\n  content: \"\\e62f\";\n}\n\n.fa-ethereum:before {\n  content: \"\\f42e\";\n}\n\n.fa-speaker-deck:before {\n  content: \"\\f83c\";\n}\n\n.fa-creative-commons-nc-eu:before {\n  content: \"\\f4e9\";\n}\n\n.fa-patreon:before {\n  content: \"\\f3d9\";\n}\n\n.fa-avianex:before {\n  content: \"\\f374\";\n}\n\n.fa-ello:before {\n  content: \"\\f5f1\";\n}\n\n.fa-gofore:before {\n  content: \"\\f3a7\";\n}\n\n.fa-bimobject:before {\n  content: \"\\f378\";\n}\n\n.fa-brave-reverse:before {\n  content: \"\\e63d\";\n}\n\n.fa-facebook-f:before {\n  content: \"\\f39e\";\n}\n\n.fa-square-google-plus:before {\n  content: \"\\f0d4\";\n}\n\n.fa-google-plus-square:before {\n  content: \"\\f0d4\";\n}\n\n.fa-web-awesome:before {\n  content: \"\\e682\";\n}\n\n.fa-mandalorian:before {\n  content: \"\\f50f\";\n}\n\n.fa-first-order-alt:before {\n  content: \"\\f50a\";\n}\n\n.fa-osi:before {\n  content: \"\\f41a\";\n}\n\n.fa-google-wallet:before {\n  content: \"\\f1ee\";\n}\n\n.fa-d-and-d-beyond:before {\n  content: \"\\f6ca\";\n}\n\n.fa-periscope:before {\n  content: \"\\f3da\";\n}\n\n.fa-fulcrum:before {\n  content: \"\\f50b\";\n}\n\n.fa-cloudscale:before {\n  content: \"\\f383\";\n}\n\n.fa-forumbee:before {\n  content: \"\\f211\";\n}\n\n.fa-mizuni:before {\n  content: \"\\f3cc\";\n}\n\n.fa-schlix:before {\n  content: \"\\f3ea\";\n}\n\n.fa-square-xing:before {\n  content: \"\\f169\";\n}\n\n.fa-xing-square:before {\n  content: \"\\f169\";\n}\n\n.fa-bandcamp:before {\n  content: \"\\f2d5\";\n}\n\n.fa-wpforms:before {\n  content: \"\\f298\";\n}\n\n.fa-cloudversify:before {\n  content: \"\\f385\";\n}\n\n.fa-usps:before {\n  content: \"\\f7e1\";\n}\n\n.fa-megaport:before {\n  content: \"\\f5a3\";\n}\n\n.fa-magento:before {\n  content: \"\\f3c4\";\n}\n\n.fa-spotify:before {\n  content: \"\\f1bc\";\n}\n\n.fa-optin-monster:before {\n  content: \"\\f23c\";\n}\n\n.fa-fly:before {\n  content: \"\\f417\";\n}\n\n.fa-aviato:before {\n  content: \"\\f421\";\n}\n\n.fa-itunes:before {\n  content: \"\\f3b4\";\n}\n\n.fa-cuttlefish:before {\n  content: \"\\f38c\";\n}\n\n.fa-blogger:before {\n  content: \"\\f37c\";\n}\n\n.fa-flickr:before {\n  content: \"\\f16e\";\n}\n\n.fa-viber:before {\n  content: \"\\f409\";\n}\n\n.fa-soundcloud:before {\n  content: \"\\f1be\";\n}\n\n.fa-digg:before {\n  content: \"\\f1a6\";\n}\n\n.fa-tencent-weibo:before {\n  content: \"\\f1d5\";\n}\n\n.fa-letterboxd:before {\n  content: \"\\e62d\";\n}\n\n.fa-symfony:before {\n  content: \"\\f83d\";\n}\n\n.fa-maxcdn:before {\n  content: \"\\f136\";\n}\n\n.fa-etsy:before {\n  content: \"\\f2d7\";\n}\n\n.fa-facebook-messenger:before {\n  content: \"\\f39f\";\n}\n\n.fa-audible:before {\n  content: \"\\f373\";\n}\n\n.fa-think-peaks:before {\n  content: \"\\f731\";\n}\n\n.fa-bilibili:before {\n  content: \"\\e3d9\";\n}\n\n.fa-erlang:before {\n  content: \"\\f39d\";\n}\n\n.fa-x-twitter:before {\n  content: \"\\e61b\";\n}\n\n.fa-cotton-bureau:before {\n  content: \"\\f89e\";\n}\n\n.fa-dashcube:before {\n  content: \"\\f210\";\n}\n\n.fa-42-group:before {\n  content: \"\\e080\";\n}\n\n.fa-innosoft:before {\n  content: \"\\e080\";\n}\n\n.fa-stack-exchange:before {\n  content: \"\\f18d\";\n}\n\n.fa-elementor:before {\n  content: \"\\f430\";\n}\n\n.fa-square-pied-piper:before {\n  content: \"\\e01e\";\n}\n\n.fa-pied-piper-square:before {\n  content: \"\\e01e\";\n}\n\n.fa-creative-commons-nd:before {\n  content: \"\\f4eb\";\n}\n\n.fa-palfed:before {\n  content: \"\\f3d8\";\n}\n\n.fa-superpowers:before {\n  content: \"\\f2dd\";\n}\n\n.fa-resolving:before {\n  content: \"\\f3e7\";\n}\n\n.fa-xbox:before {\n  content: \"\\f412\";\n}\n\n.fa-square-web-awesome-stroke:before {\n  content: \"\\e684\";\n}\n\n.fa-searchengin:before {\n  content: \"\\f3eb\";\n}\n\n.fa-tiktok:before {\n  content: \"\\e07b\";\n}\n\n.fa-square-facebook:before {\n  content: \"\\f082\";\n}\n\n.fa-facebook-square:before {\n  content: \"\\f082\";\n}\n\n.fa-renren:before {\n  content: \"\\f18b\";\n}\n\n.fa-linux:before {\n  content: \"\\f17c\";\n}\n\n.fa-glide:before {\n  content: \"\\f2a5\";\n}\n\n.fa-linkedin:before {\n  content: \"\\f08c\";\n}\n\n.fa-hubspot:before {\n  content: \"\\f3b2\";\n}\n\n.fa-deploydog:before {\n  content: \"\\f38e\";\n}\n\n.fa-twitch:before {\n  content: \"\\f1e8\";\n}\n\n.fa-ravelry:before {\n  content: \"\\f2d9\";\n}\n\n.fa-mixer:before {\n  content: \"\\e056\";\n}\n\n.fa-square-lastfm:before {\n  content: \"\\f203\";\n}\n\n.fa-lastfm-square:before {\n  content: \"\\f203\";\n}\n\n.fa-vimeo:before {\n  content: \"\\f40a\";\n}\n\n.fa-mendeley:before {\n  content: \"\\f7b3\";\n}\n\n.fa-uniregistry:before {\n  content: \"\\f404\";\n}\n\n.fa-figma:before {\n  content: \"\\f799\";\n}\n\n.fa-creative-commons-remix:before {\n  content: \"\\f4ee\";\n}\n\n.fa-cc-amazon-pay:before {\n  content: \"\\f42d\";\n}\n\n.fa-dropbox:before {\n  content: \"\\f16b\";\n}\n\n.fa-instagram:before {\n  content: \"\\f16d\";\n}\n\n.fa-cmplid:before {\n  content: \"\\e360\";\n}\n\n.fa-upwork:before {\n  content: \"\\e641\";\n}\n\n.fa-facebook:before {\n  content: \"\\f09a\";\n}\n\n.fa-gripfire:before {\n  content: \"\\f3ac\";\n}\n\n.fa-jedi-order:before {\n  content: \"\\f50e\";\n}\n\n.fa-uikit:before {\n  content: \"\\f403\";\n}\n\n.fa-fort-awesome-alt:before {\n  content: \"\\f3a3\";\n}\n\n.fa-phabricator:before {\n  content: \"\\f3db\";\n}\n\n.fa-ussunnah:before {\n  content: \"\\f407\";\n}\n\n.fa-earlybirds:before {\n  content: \"\\f39a\";\n}\n\n.fa-trade-federation:before {\n  content: \"\\f513\";\n}\n\n.fa-autoprefixer:before {\n  content: \"\\f41c\";\n}\n\n.fa-whatsapp:before {\n  content: \"\\f232\";\n}\n\n.fa-square-upwork:before {\n  content: \"\\e67c\";\n}\n\n.fa-slideshare:before {\n  content: \"\\f1e7\";\n}\n\n.fa-google-play:before {\n  content: \"\\f3ab\";\n}\n\n.fa-viadeo:before {\n  content: \"\\f2a9\";\n}\n\n.fa-line:before {\n  content: \"\\f3c0\";\n}\n\n.fa-google-drive:before {\n  content: \"\\f3aa\";\n}\n\n.fa-servicestack:before {\n  content: \"\\f3ec\";\n}\n\n.fa-simplybuilt:before {\n  content: \"\\f215\";\n}\n\n.fa-bitbucket:before {\n  content: \"\\f171\";\n}\n\n.fa-imdb:before {\n  content: \"\\f2d8\";\n}\n\n.fa-deezer:before {\n  content: \"\\e077\";\n}\n\n.fa-raspberry-pi:before {\n  content: \"\\f7bb\";\n}\n\n.fa-jira:before {\n  content: \"\\f7b1\";\n}\n\n.fa-docker:before {\n  content: \"\\f395\";\n}\n\n.fa-screenpal:before {\n  content: \"\\e570\";\n}\n\n.fa-bluetooth:before {\n  content: \"\\f293\";\n}\n\n.fa-gitter:before {\n  content: \"\\f426\";\n}\n\n.fa-d-and-d:before {\n  content: \"\\f38d\";\n}\n\n.fa-microblog:before {\n  content: \"\\e01a\";\n}\n\n.fa-cc-diners-club:before {\n  content: \"\\f24c\";\n}\n\n.fa-gg-circle:before {\n  content: \"\\f261\";\n}\n\n.fa-pied-piper-hat:before {\n  content: \"\\f4e5\";\n}\n\n.fa-kickstarter-k:before {\n  content: \"\\f3bc\";\n}\n\n.fa-yandex:before {\n  content: \"\\f413\";\n}\n\n.fa-readme:before {\n  content: \"\\f4d5\";\n}\n\n.fa-html5:before {\n  content: \"\\f13b\";\n}\n\n.fa-sellsy:before {\n  content: \"\\f213\";\n}\n\n.fa-square-web-awesome:before {\n  content: \"\\e683\";\n}\n\n.fa-sass:before {\n  content: \"\\f41e\";\n}\n\n.fa-wirsindhandwerk:before {\n  content: \"\\e2d0\";\n}\n\n.fa-wsh:before {\n  content: \"\\e2d0\";\n}\n\n.fa-buromobelexperte:before {\n  content: \"\\f37f\";\n}\n\n.fa-salesforce:before {\n  content: \"\\f83b\";\n}\n\n.fa-octopus-deploy:before {\n  content: \"\\e082\";\n}\n\n.fa-medapps:before {\n  content: \"\\f3c6\";\n}\n\n.fa-ns8:before {\n  content: \"\\f3d5\";\n}\n\n.fa-pinterest-p:before {\n  content: \"\\f231\";\n}\n\n.fa-apper:before {\n  content: \"\\f371\";\n}\n\n.fa-fort-awesome:before {\n  content: \"\\f286\";\n}\n\n.fa-waze:before {\n  content: \"\\f83f\";\n}\n\n.fa-bluesky:before {\n  content: \"\\e671\";\n}\n\n.fa-cc-jcb:before {\n  content: \"\\f24b\";\n}\n\n.fa-snapchat:before {\n  content: \"\\f2ab\";\n}\n\n.fa-snapchat-ghost:before {\n  content: \"\\f2ab\";\n}\n\n.fa-fantasy-flight-games:before {\n  content: \"\\f6dc\";\n}\n\n.fa-rust:before {\n  content: \"\\e07a\";\n}\n\n.fa-wix:before {\n  content: \"\\f5cf\";\n}\n\n.fa-square-behance:before {\n  content: \"\\f1b5\";\n}\n\n.fa-behance-square:before {\n  content: \"\\f1b5\";\n}\n\n.fa-supple:before {\n  content: \"\\f3f9\";\n}\n\n.fa-webflow:before {\n  content: \"\\e65c\";\n}\n\n.fa-rebel:before {\n  content: \"\\f1d0\";\n}\n\n.fa-css3:before {\n  content: \"\\f13c\";\n}\n\n.fa-staylinked:before {\n  content: \"\\f3f5\";\n}\n\n.fa-kaggle:before {\n  content: \"\\f5fa\";\n}\n\n.fa-space-awesome:before {\n  content: \"\\e5ac\";\n}\n\n.fa-deviantart:before {\n  content: \"\\f1bd\";\n}\n\n.fa-cpanel:before {\n  content: \"\\f388\";\n}\n\n.fa-goodreads-g:before {\n  content: \"\\f3a9\";\n}\n\n.fa-square-git:before {\n  content: \"\\f1d2\";\n}\n\n.fa-git-square:before {\n  content: \"\\f1d2\";\n}\n\n.fa-square-tumblr:before {\n  content: \"\\f174\";\n}\n\n.fa-tumblr-square:before {\n  content: \"\\f174\";\n}\n\n.fa-trello:before {\n  content: \"\\f181\";\n}\n\n.fa-creative-commons-nc-jp:before {\n  content: \"\\f4ea\";\n}\n\n.fa-get-pocket:before {\n  content: \"\\f265\";\n}\n\n.fa-perbyte:before {\n  content: \"\\e083\";\n}\n\n.fa-grunt:before {\n  content: \"\\f3ad\";\n}\n\n.fa-weebly:before {\n  content: \"\\f5cc\";\n}\n\n.fa-connectdevelop:before {\n  content: \"\\f20e\";\n}\n\n.fa-leanpub:before {\n  content: \"\\f212\";\n}\n\n.fa-black-tie:before {\n  content: \"\\f27e\";\n}\n\n.fa-themeco:before {\n  content: \"\\f5c6\";\n}\n\n.fa-python:before {\n  content: \"\\f3e2\";\n}\n\n.fa-android:before {\n  content: \"\\f17b\";\n}\n\n.fa-bots:before {\n  content: \"\\e340\";\n}\n\n.fa-free-code-camp:before {\n  content: \"\\f2c5\";\n}\n\n.fa-hornbill:before {\n  content: \"\\f592\";\n}\n\n.fa-js:before {\n  content: \"\\f3b8\";\n}\n\n.fa-ideal:before {\n  content: \"\\e013\";\n}\n\n.fa-git:before {\n  content: \"\\f1d3\";\n}\n\n.fa-dev:before {\n  content: \"\\f6cc\";\n}\n\n.fa-sketch:before {\n  content: \"\\f7c6\";\n}\n\n.fa-yandex-international:before {\n  content: \"\\f414\";\n}\n\n.fa-cc-amex:before {\n  content: \"\\f1f3\";\n}\n\n.fa-uber:before {\n  content: \"\\f402\";\n}\n\n.fa-github:before {\n  content: \"\\f09b\";\n}\n\n.fa-php:before {\n  content: \"\\f457\";\n}\n\n.fa-alipay:before {\n  content: \"\\f642\";\n}\n\n.fa-youtube:before {\n  content: \"\\f167\";\n}\n\n.fa-skyatlas:before {\n  content: \"\\f216\";\n}\n\n.fa-firefox-browser:before {\n  content: \"\\e007\";\n}\n\n.fa-replyd:before {\n  content: \"\\f3e6\";\n}\n\n.fa-suse:before {\n  content: \"\\f7d6\";\n}\n\n.fa-jenkins:before {\n  content: \"\\f3b6\";\n}\n\n.fa-twitter:before {\n  content: \"\\f099\";\n}\n\n.fa-rockrms:before {\n  content: \"\\f3e9\";\n}\n\n.fa-pinterest:before {\n  content: \"\\f0d2\";\n}\n\n.fa-buffer:before {\n  content: \"\\f837\";\n}\n\n.fa-npm:before {\n  content: \"\\f3d4\";\n}\n\n.fa-yammer:before {\n  content: \"\\f840\";\n}\n\n.fa-btc:before {\n  content: \"\\f15a\";\n}\n\n.fa-dribbble:before {\n  content: \"\\f17d\";\n}\n\n.fa-stumbleupon-circle:before {\n  content: \"\\f1a3\";\n}\n\n.fa-internet-explorer:before {\n  content: \"\\f26b\";\n}\n\n.fa-stubber:before {\n  content: \"\\e5c7\";\n}\n\n.fa-telegram:before {\n  content: \"\\f2c6\";\n}\n\n.fa-telegram-plane:before {\n  content: \"\\f2c6\";\n}\n\n.fa-old-republic:before {\n  content: \"\\f510\";\n}\n\n.fa-odysee:before {\n  content: \"\\e5c6\";\n}\n\n.fa-square-whatsapp:before {\n  content: \"\\f40c\";\n}\n\n.fa-whatsapp-square:before {\n  content: \"\\f40c\";\n}\n\n.fa-node-js:before {\n  content: \"\\f3d3\";\n}\n\n.fa-edge-legacy:before {\n  content: \"\\e078\";\n}\n\n.fa-slack:before {\n  content: \"\\f198\";\n}\n\n.fa-slack-hash:before {\n  content: \"\\f198\";\n}\n\n.fa-medrt:before {\n  content: \"\\f3c8\";\n}\n\n.fa-usb:before {\n  content: \"\\f287\";\n}\n\n.fa-tumblr:before {\n  content: \"\\f173\";\n}\n\n.fa-vaadin:before {\n  content: \"\\f408\";\n}\n\n.fa-quora:before {\n  content: \"\\f2c4\";\n}\n\n.fa-square-x-twitter:before {\n  content: \"\\e61a\";\n}\n\n.fa-reacteurope:before {\n  content: \"\\f75d\";\n}\n\n.fa-medium:before {\n  content: \"\\f23a\";\n}\n\n.fa-medium-m:before {\n  content: \"\\f23a\";\n}\n\n.fa-amilia:before {\n  content: \"\\f36d\";\n}\n\n.fa-mixcloud:before {\n  content: \"\\f289\";\n}\n\n.fa-flipboard:before {\n  content: \"\\f44d\";\n}\n\n.fa-viacoin:before {\n  content: \"\\f237\";\n}\n\n.fa-critical-role:before {\n  content: \"\\f6c9\";\n}\n\n.fa-sitrox:before {\n  content: \"\\e44a\";\n}\n\n.fa-discourse:before {\n  content: \"\\f393\";\n}\n\n.fa-joomla:before {\n  content: \"\\f1aa\";\n}\n\n.fa-mastodon:before {\n  content: \"\\f4f6\";\n}\n\n.fa-airbnb:before {\n  content: \"\\f834\";\n}\n\n.fa-wolf-pack-battalion:before {\n  content: \"\\f514\";\n}\n\n.fa-buy-n-large:before {\n  content: \"\\f8a6\";\n}\n\n.fa-gulp:before {\n  content: \"\\f3ae\";\n}\n\n.fa-creative-commons-sampling-plus:before {\n  content: \"\\f4f1\";\n}\n\n.fa-strava:before {\n  content: \"\\f428\";\n}\n\n.fa-ember:before {\n  content: \"\\f423\";\n}\n\n.fa-canadian-maple-leaf:before {\n  content: \"\\f785\";\n}\n\n.fa-teamspeak:before {\n  content: \"\\f4f9\";\n}\n\n.fa-pushed:before {\n  content: \"\\f3e1\";\n}\n\n.fa-wordpress-simple:before {\n  content: \"\\f411\";\n}\n\n.fa-nutritionix:before {\n  content: \"\\f3d6\";\n}\n\n.fa-wodu:before {\n  content: \"\\e088\";\n}\n\n.fa-google-pay:before {\n  content: \"\\e079\";\n}\n\n.fa-intercom:before {\n  content: \"\\f7af\";\n}\n\n.fa-zhihu:before {\n  content: \"\\f63f\";\n}\n\n.fa-korvue:before {\n  content: \"\\f42f\";\n}\n\n.fa-pix:before {\n  content: \"\\e43a\";\n}\n\n.fa-steam-symbol:before {\n  content: \"\\f3f6\";\n}\n\nhtml {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n/*******************************************************************************\n* Define the animation behaviour\n*/\n/*******************************************************************************\n* UI shaping and padding\n*/\nhtml {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n  --pst-font-size-base: 1rem;\n  --pst-font-size-h1: 2.625rem;\n  --pst-font-size-h2: 2.125rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1rem;\n  --pst-font-size-milli: 0.9rem;\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n  --pst-admonition-font-weight-heading: 600;\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 600;\n  --pst-font-family-base-system: -apple-system, \"BlinkMacSystemFont\", \"Segoe UI\",\n    \"Helvetica Neue\", \"Arial\", sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\",\n    \"Segoe UI Symbol\";\n  --pst-font-family-monospace-system: \"SFMono-Regular\", \"Menlo\", \"Consolas\",\n    \"Monaco\", \"Liberation Mono\", \"Lucida Console\", monospace;\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n\nhtml {\n  /*****************************************************************************\n  * Icon\n  */\n  --pst-font-size-icon: 1.5rem;\n  --pst-icon-check-circle: \"\";\n  --pst-icon-info-circle: \"\";\n  --pst-icon-exclamation-triangle: \"\";\n  --pst-icon-exclamation-circle: \"\";\n  --pst-icon-times-circle: \"\";\n  --pst-icon-lightbulb: \"\";\n  --pst-icon-download: \"\";\n  --pst-icon-angle-left: \"\";\n  --pst-icon-angle-right: \"\";\n  --pst-icon-external-link: \"\";\n  --pst-icon-search-minus: \"\";\n  --pst-icon-github: \"\";\n  --pst-icon-gitlab: \"\";\n  --pst-icon-share: \"\";\n  --pst-icon-bell: \"\";\n  --pst-icon-pencil: \"\";\n  --pst-breadcrumb-divider: \"\";\n}\n\nhtml {\n  /*****************************************************************************\n  * Admonitions\n  **/\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n\nhtml {\n  /*****************************************************************************\n  * versionmodified\n  **/\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n\n/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n/**\n* Function to get items from nested maps\n*/\n/* Assign base colors for the PyData theme */\n:root {\n  --pst-teal-50: #f4fbfc;\n  --pst-teal-100: #e9f6f8;\n  --pst-teal-200: #d0ecf1;\n  --pst-teal-300: #abdde6;\n  --pst-teal-400: #3fb1c5;\n  --pst-teal-500: #0a7d91;\n  --pst-teal-600: #085d6c;\n  --pst-teal-700: #064752;\n  --pst-teal-800: #042c33;\n  --pst-teal-900: #021b1f;\n  --pst-violet-50: #f4eefb;\n  --pst-violet-100: #e0c7ff;\n  --pst-violet-200: #d5b4fd;\n  --pst-violet-300: #b780ff;\n  --pst-violet-400: #9c5ffd;\n  --pst-violet-500: #8045e5;\n  --pst-violet-600: #6432bd;\n  --pst-violet-700: #4b258f;\n  --pst-violet-800: #341a61;\n  --pst-violet-900: #1e0e39;\n  --pst-gray-50: #f9f9fa;\n  --pst-gray-100: #f3f4f5;\n  --pst-gray-200: #e5e7ea;\n  --pst-gray-300: #d1d5da;\n  --pst-gray-400: #9ca4af;\n  --pst-gray-500: #677384;\n  --pst-gray-600: #48566b;\n  --pst-gray-700: #29313d;\n  --pst-gray-800: #222832;\n  --pst-gray-900: #14181e;\n  --pst-pink-50: #fcf8fd;\n  --pst-pink-100: #fcf0fa;\n  --pst-pink-200: #f8dff5;\n  --pst-pink-300: #f3c7ee;\n  --pst-pink-400: #e47fd7;\n  --pst-pink-500: #c132af;\n  --pst-pink-600: #912583;\n  --pst-pink-700: #6e1c64;\n  --pst-pink-800: #46123f;\n  --pst-pink-900: #2b0b27;\n  --pst-foundation-white: #ffffff;\n  --pst-foundation-black: #14181e;\n}\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * something inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  --pst-color-primary: #0a7d91;\n  --pst-color-primary-bg: #d0ecf1;\n  --pst-color-secondary: #8045e5;\n  --pst-color-secondary-bg: #e0c7ff;\n  --pst-color-accent: #c132af;\n  --pst-color-accent-bg: #f8dff5;\n  --pst-color-info: #276be9;\n  --pst-color-info-bg: #dce7fc;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-bg: #f8e3d0;\n  --pst-color-success: #00843f;\n  --pst-color-success-bg: #d6ece1;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-bg: #f9e1e4;\n  --pst-color-text-base: #222832;\n  --pst-color-text-muted: #48566b;\n  --pst-color-shadow: rgba(0, 0, 0, 0.1);\n  --pst-color-border: #d1d5da;\n  --pst-color-border-muted: rgba(23, 23, 26, 0.2);\n  --pst-color-blockquote-notch: #677384;\n  --pst-color-inline-code: #912583;\n  --pst-color-inline-code-links: #085d6c;\n  --pst-color-target: #f3cf95;\n  --pst-color-table: #14181e;\n  --pst-color-table-row-hover-bg: #d5b4fd;\n  --pst-color-table-inner-border: #e5e7ea;\n  --pst-color-background: #ffffff;\n  --pst-color-on-background: #ffffff;\n  --pst-color-surface: #f3f4f5;\n  --pst-color-on-surface: #222832;\n}\nhtml:not([data-theme]) {\n  --pst-color-heading: var(--pst-color-text-base);\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\nhtml:not([data-theme]) .only-dark,\nhtml:not([data-theme]) .only-dark ~ figcaption {\n  display: none !important;\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\nhtml[data-theme=light] {\n  --pst-color-primary: #0a7d91;\n  --pst-color-primary-bg: #d0ecf1;\n  --pst-color-secondary: #8045e5;\n  --pst-color-secondary-bg: #e0c7ff;\n  --pst-color-accent: #c132af;\n  --pst-color-accent-bg: #f8dff5;\n  --pst-color-info: #276be9;\n  --pst-color-info-bg: #dce7fc;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-bg: #f8e3d0;\n  --pst-color-success: #00843f;\n  --pst-color-success-bg: #d6ece1;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-bg: #f9e1e4;\n  --pst-color-text-base: #222832;\n  --pst-color-text-muted: #48566b;\n  --pst-color-shadow: rgba(0, 0, 0, 0.1);\n  --pst-color-border: #d1d5da;\n  --pst-color-border-muted: rgba(23, 23, 26, 0.2);\n  --pst-color-blockquote-notch: #677384;\n  --pst-color-inline-code: #912583;\n  --pst-color-inline-code-links: #085d6c;\n  --pst-color-target: #f3cf95;\n  --pst-color-table: #14181e;\n  --pst-color-table-row-hover-bg: #d5b4fd;\n  --pst-color-table-inner-border: #e5e7ea;\n  --pst-color-background: #ffffff;\n  --pst-color-on-background: #ffffff;\n  --pst-color-surface: #f3f4f5;\n  --pst-color-on-surface: #222832;\n  color-scheme: light;\n}\nhtml[data-theme=light] {\n  --pst-color-heading: var(--pst-color-text-base);\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\nhtml[data-theme=light] .only-dark,\nhtml[data-theme=light] .only-dark ~ figcaption {\n  display: none !important;\n}\n\nhtml[data-theme=dark] {\n  --pst-color-primary: #3fb1c5;\n  --pst-color-primary-bg: #042c33;\n  --pst-color-secondary: #9c5ffd;\n  --pst-color-secondary-bg: #341a61;\n  --pst-color-accent: #e47fd7;\n  --pst-color-accent-bg: #46123f;\n  --pst-color-info: #79a3f2;\n  --pst-color-info-bg: #06245d;\n  --pst-color-warning: #ff9245;\n  --pst-color-warning-bg: #652a02;\n  --pst-color-success: #5fb488;\n  --pst-color-success-bg: #002f17;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #e78894;\n  --pst-color-danger-bg: #4e111b;\n  --pst-color-text-base: #ced6dd;\n  --pst-color-text-muted: #9ca4af;\n  --pst-color-shadow: rgba(0, 0, 0, 0.2);\n  --pst-color-border: #48566b;\n  --pst-color-border-muted: #29313d;\n  --pst-color-blockquote-notch: #9ca4af;\n  --pst-color-inline-code: #f3c7ee;\n  --pst-color-inline-code-links: #3fb1c5;\n  --pst-color-target: #675c04;\n  --pst-color-table: #ffffff;\n  --pst-color-table-row-hover-bg: #4b258f;\n  --pst-color-table-inner-border: #364150;\n  --pst-color-background: #14181e;\n  --pst-color-on-background: #222832;\n  --pst-color-surface: #29313d;\n  --pst-color-on-surface: #f3f4f5;\n  /* Adjust images in dark mode (unless they have class .only-dark or\n   * .dark-light, in which case assume they're already optimized for dark\n   * mode).\n   */\n  /* Give images a light background in dark mode in case they have\n  *  transparency and black text (unless they have class .only-dark or .dark-light, in\n  *  which case assume they're already optimized for dark mode).\n  */\n  color-scheme: dark;\n}\nhtml[data-theme=dark] {\n  --pst-color-heading: var(--pst-color-text-base);\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\nhtml[data-theme=dark] .only-light,\nhtml[data-theme=dark] .only-light ~ figcaption {\n  display: none !important;\n}\nhtml[data-theme=dark] img:not(.only-dark, .dark-light) {\n  filter: brightness(0.8) contrast(1.2);\n}\nhtml[data-theme=dark] .bd-content img:not(.only-dark, .dark-light) {\n  background-color: rgb(255, 255, 255);\n  border-radius: 0.25rem;\n}\nhtml[data-theme=dark] .MathJax_SVG * {\n  fill: var(--pst-color-text-base);\n}\n\n.pst-color-primary {\n  color: var(--pst-color-primary);\n}\n\n.pst-color-secondary {\n  color: var(--pst-color-secondary);\n}\n\n.pst-color-accent {\n  color: var(--pst-color-accent);\n}\n\n.pst-color-info {\n  color: var(--pst-color-info);\n}\n\n.pst-color-warning {\n  color: var(--pst-color-warning);\n}\n\n.pst-color-success {\n  color: var(--pst-color-success);\n}\n\n.pst-color-attention {\n  color: var(--pst-color-attention);\n}\n\n.pst-color-danger {\n  color: var(--pst-color-danger);\n}\n\n.pst-color-text-base {\n  color: var(--pst-color-text-base);\n}\n\n.pst-color-text-muted {\n  color: var(--pst-color-text-muted);\n}\n\n.pst-color-shadow {\n  color: var(--pst-color-shadow);\n}\n\n.pst-color-border {\n  color: var(--pst-color-border);\n}\n\n.pst-color-border-muted {\n  color: var(--pst-color-border-muted);\n}\n\n.pst-color-blockquote-notch {\n  color: var(--pst-color-blockquote-notch);\n}\n\n.pst-color-inline-code {\n  color: var(--pst-color-inline-code);\n}\n\n.pst-color-inline-code-links {\n  color: var(--pst-color-inline-code-links);\n}\n\n.pst-color-target {\n  color: var(--pst-color-target);\n}\n\n.pst-color-table {\n  color: var(--pst-color-table);\n}\n\n.pst-color-table-row-hover {\n  color: var(--pst-color-table-row-hover);\n}\n\n.pst-color-table-inner-border {\n  color: var(--pst-color-table-inner-border);\n}\n\n.pst-color-background {\n  color: var(--pst-color-background);\n}\n\n.pst-color-on-background {\n  color: var(--pst-color-on-background);\n}\n\n.pst-color-surface {\n  color: var(--pst-color-surface);\n}\n\n.pst-color-on-surface {\n  color: var(--pst-color-on-surface);\n}\n\n/**\n * Miscellaneous color functions and mixins\n**/\n/**\n* Function to get items from nested maps\n*/\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n/*********************************************\n* SASS Mixins\n*********************************************/\n/**\n * A consistent box shadow style we apply across elements.\n */\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\nhtml {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: 1.65;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n}\nbody::-webkit-scrollbar-track {\n  background-color: var(--pst-color-background);\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n  /* section header in docstring pages */\n}\np.rubric {\n  border-bottom: 1px solid var(--pst-color-border);\n}\np.centered {\n  text-align: center;\n}\n\na {\n  word-wrap: break-word;\n  color: var(--pst-color-link);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n}\na:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\na:active {\n  color: var(--pst-color-link);\n}\na:visited {\n  color: var(--pst-color-link);\n}\na:visited:hover {\n  color: var(--pst-color-link-hover);\n}\na.headerlink {\n  color: var(--pst-color-secondary);\n  font-size: 0.8em;\n  padding: 0 4px;\n  margin-left: 0.2em;\n  text-decoration: none;\n  user-select: none;\n}\na.github::before, a.gitlab::before {\n  color: var(--pst-color-text-muted);\n  font: var(--fa-font-brands);\n  margin-right: 0.25rem;\n}\na.github::before {\n  content: var(--pst-icon-github);\n}\na.gitlab::before {\n  content: var(--pst-icon-gitlab);\n}\n\nh6, .h6, h5, .h5, h4, .h4, h3, .h3, h2, .h2, h1, .h1 {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1, .h1 {\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-color-heading);\n}\n\nh2, .h2 {\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-color-heading);\n}\n\nh3, .h3 {\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-color-heading);\n}\n\nh4, .h4 {\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-color-heading);\n}\n\nh5, .h5 {\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6, .h6 {\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall, .small,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n}\nkbd:not(.compound) {\n  border: 1px solid var(--pst-color-border);\n  margin: 0 0.1rem;\n  padding: 0.1rem 0.4rem;\n  box-shadow: 1px 1px 1px var(--pst-color-shadow);\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\npre .linenos {\n  opacity: 0.8;\n  padding-right: 10px;\n}\n\n#pst-back-to-top {\n  z-index: 1080;\n  position: fixed;\n  display: none;\n  top: 90vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n}\n#pst-back-to-top .fa-arrow-up {\n  margin-inline-end: 0.5em;\n}\n#pst-back-to-top:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: 1px;\n  background-color: var(--pst-color-secondary-highlight);\n  color: var(--pst-color-secondary-highlight-text);\n}\n#pst-back-to-top:focus-visible {\n  box-shadow: none;\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  outline-color: var(--pst-color-secondary);\n  outline-offset: 0.1875rem;\n}\n\n:focus-visible {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  box-shadow: none;\n}\n\n/***\n * Rules for the UX/UI of skip navigation link btn.\n * It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  padding: 0.5rem;\n  z-index: 1055;\n  border-bottom: 1px solid var(--pst-color-border);\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n}\n.skip-link:focus-within {\n  transform: translateY(0%);\n}\n.skip-link a {\n  color: var(--pst-color-warning-text) !important;\n}\n.skip-link a:focus-visible {\n  outline-color: #14181e;\n}\n\n.bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n}\n.bd-container .bd-container__inner {\n  display: flex;\n}\n\n.bd-page-width {\n  width: 100%;\n}\n@media (min-width: 960px) {\n  .bd-page-width {\n    max-width: 88rem;\n  }\n}\n\n.pst-async-banner-revealer {\n  height: 0;\n  overflow: hidden;\n  transition: height 300ms ease-in-out;\n}\n@media (prefers-reduced-motion) {\n  .pst-async-banner-revealer {\n    transition: none;\n  }\n}\n\n#bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%;\n}\n@media (max-width: 959.98px) {\n  #bd-header-version-warning,\n  .bd-header-announcement {\n    padding: 0.5rem 2%;\n  }\n}\n#bd-header-version-warning p,\n.bd-header-announcement p {\n  font-weight: bold;\n  margin: 0;\n}\n#bd-header-version-warning a,\n.bd-header-announcement a {\n  color: var(--pst-color-inline-code-links);\n}\n#bd-header-version-warning .pst-button-link-to-stable-version,\n.bd-header-announcement .pst-button-link-to-stable-version {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n  background-color: var(--pst-color-danger);\n  border-color: var(--pst-color-danger);\n  color: var(--pst-color-danger-text);\n  border-radius: 0.25rem;\n}\n#bd-header-version-warning .pst-button-link-to-stable-version:hover,\n.bd-header-announcement .pst-button-link-to-stable-version:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: 1px;\n  background-color: var(--pst-color-danger-highlight);\n  border-color: var(--pst-color-danger-highlight);\n  color: var(--pst-color-danger-highlight-text);\n}\n#bd-header-version-warning .pst-button-link-to-stable-version:focus-visible,\n.bd-header-announcement .pst-button-link-to-stable-version:focus-visible {\n  outline: 0.1875rem solid var(--pst-color-danger);\n  outline-offset: 0.1875rem;\n}\n\n.bd-header-announcement {\n  background-color: var(--pst-color-secondary-bg);\n}\n\n#bd-header-version-warning {\n  background-color: var(--pst-color-danger-bg);\n}\n\n/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n}\n.bd-main .bd-content {\n  display: flex;\n  justify-content: center;\n  height: 100%;\n}\n.bd-main .bd-content .bd-article-container {\n  justify-content: start;\n  display: flex;\n  flex-direction: column;\n  width: 100%;\n  max-width: 60em;\n  overflow-x: auto;\n  padding: 1rem;\n}\n@media (min-width: 1200px) {\n  .bd-main .bd-content .bd-article-container .bd-article {\n    padding-top: 1.5rem;\n    padding-left: 2rem;\n  }\n}\n\n.bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n}\n.bd-footer .bd-footer__inner {\n  display: flex;\n  flex-grow: 1;\n  padding: 1rem;\n  margin: auto;\n}\n.bd-footer .footer-items__start,\n.bd-footer .footer-items__center,\n.bd-footer .footer-items__end {\n  display: flex;\n  flex-direction: column;\n  gap: 0.5rem;\n  justify-content: center;\n  flex-grow: 1;\n}\n.bd-footer .footer-items__center {\n  text-align: center;\n}\n.bd-footer .footer-items__end {\n  text-align: end;\n}\n.bd-footer .footer-item p {\n  margin-bottom: 0;\n}\n\n.bd-footer-article {\n  margin-top: auto;\n}\n.bd-footer-article .footer-article-items {\n  display: flex;\n  flex-direction: column;\n}\n\n.bd-footer-content .footer-content-items {\n  display: flex;\n  flex-direction: column;\n  margin-top: auto;\n}\n\n/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: 1030;\n  background-color: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n}\n.bd-header .bd-header__inner {\n  display: flex;\n  align-items: center;\n  height: fit-content;\n  padding-left: 1rem;\n  padding-right: 1rem;\n}\n.bd-header :focus-visible {\n  border-radius: 0.125rem;\n}\n.bd-header .navbar-item {\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  display: flex;\n  align-items: center;\n}\n.bd-header .navbar-header-items {\n  display: none;\n  flex-shrink: 1;\n}\n@media (min-width: 960px) {\n  .bd-header .navbar-header-items {\n    display: inherit;\n    flex-grow: 1;\n    padding: 0 0 0 0.5rem;\n  }\n}\n.bd-header .navbar-header-items__end,\n.bd-header .navbar-header-items__center,\n.bd-header .navbar-header-items__start {\n  display: flex;\n  align-items: center;\n  flex-flow: wrap;\n  row-gap: 0;\n}\n.bd-header .navbar-header-items__end,\n.bd-header .navbar-header-items__center {\n  column-gap: 1.12rem;\n}\n.bd-header .navbar-header-items__start {\n  flex-shrink: 0;\n  margin-right: auto;\n  gap: 0.5rem;\n}\n.bd-header .navbar-header-items__end {\n  justify-content: end;\n}\n.bd-header ul.navbar-nav {\n  display: flex;\n}\n@media (min-width: 960px) {\n  .bd-header ul.navbar-nav {\n    align-items: baseline;\n  }\n}\n.bd-header ul.navbar-nav > li.nav-item {\n  margin-inline: 2px;\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link {\n  color: var(--pst-color-text-muted);\n  position: relative;\n  padding-inline: 6px;\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link::before {\n  content: \"\";\n  display: block;\n  position: absolute;\n  inset: 0;\n  background-color: transparent;\n  bottom: calc(-1 * max(3px, .1875rem, .12em));\n  margin: max(3px, .1875rem, .12em) 0;\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link:hover {\n  color: var(--pst-color-secondary);\n  text-decoration: none;\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link:hover::before {\n  border-bottom: max(3px, .1875rem, .12em) solid var(--pst-color-secondary);\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link:focus-visible {\n  box-shadow: none;\n  outline: 3px solid var(--pst-color-accent);\n  outline-offset: 0.1875rem;\n}\n.bd-header ul.navbar-nav > li.nav-item.current > .nav-link {\n  color: var(--pst-color-primary);\n}\n.bd-header ul.navbar-nav > li.nav-item.current > .nav-link::before {\n  border-bottom: 3px solid var(--pst-color-primary);\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown {\n  margin-inline: 4px;\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown button {\n  padding-inline: 8px;\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown > .dropdown-toggle {\n  border-radius: 0.125rem;\n  color: var(--pst-color-text-muted);\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown > .dropdown-toggle:focus-visible {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown > .dropdown-toggle:hover {\n  text-decoration: none;\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-link-hover);\n  color: var(--pst-color-text-base);\n}\n.bd-header ul.navbar-nav li a.nav-link.dropdown-item {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\n.bd-header ul.navbar-nav li a.nav-link.dropdown-item:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\n.bd-header ul.navbar-nav .dropdown button {\n  display: unset;\n  border: none;\n}\n.bd-header ul.navbar-nav .dropdown button:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu {\n  z-index: 1070;\n  border: 1px solid var(--pst-color-border);\n  box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n  background-color: var(--pst-color-on-background);\n  padding: 0.5rem 0;\n  margin: 0.5rem 0;\n  min-width: 20rem;\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu .dropdown-item {\n  padding: 0.25rem 1.5rem;\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu .dropdown-item:focus:not(:hover, :active) {\n  background-color: inherit;\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu .dropdown-item:focus-visible {\n  z-index: 10;\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu:not(.show) {\n  display: none;\n}\n.bd-header button.sidebar-toggle {\n  font-size: var(--pst-font-size-icon);\n  color: var(--pst-color-muted);\n  margin-bottom: 0;\n  background-color: inherit;\n  padding: 0.5rem;\n}\n.bd-header button.primary-toggle {\n  margin-right: 1rem;\n}\n@media (min-width: 960px) {\n  .bd-header button.primary-toggle {\n    display: none;\n  }\n}\n.bd-header button.secondary-toggle {\n  margin-left: 1rem;\n}\n@media (min-width: 1200px) {\n  .bd-header button.secondary-toggle {\n    display: none;\n  }\n}\n\n@media (min-width: 960px) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n.nav-link {\n  transition: none;\n}\n.nav-link:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n}\n.nav-link.nav-external::after {\n  font: var(--fa-font-solid);\n  content: var(--pst-icon-external-link);\n  font-size: 0.75em;\n  margin-left: 0.3em;\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n.navbar-persistent--mobile {\n  margin-left: auto;\n}\n@media (min-width: 960px) {\n  .navbar-persistent--mobile {\n    display: none;\n  }\n}\n\n.navbar-persistent--container {\n  display: none;\n}\n@media (min-width: 960px) {\n  .navbar-persistent--container {\n    display: flex;\n  }\n}\n\n.header-article__inner {\n  padding: 0 0.5rem;\n}\n.header-article__inner .header-article-item {\n  min-height: var(--pst-header-article-height);\n}\n.header-article__inner .header-article-items__end {\n  margin-left: auto;\n}\n\n/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n  flex: 0 0 auto;\n  width: 25%;\n  padding: 2rem 1rem 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n  font-size: var(--pst-sidebar-font-size-mobile);\n}\n@media (min-width: 960px) {\n  .bd-sidebar-primary {\n    font-size: var(--pst-sidebar-font-size);\n  }\n}\n.bd-sidebar-primary :focus-visible {\n  border-radius: 0.125rem;\n}\n.bd-sidebar-primary .nav-link {\n  font-size: var(--pst-sidebar-font-size-mobile);\n}\n.bd-sidebar-primary.no-sidebar {\n  border-right: 0;\n}\n@media (min-width: 960px) {\n  .bd-sidebar-primary.hide-on-wide {\n    display: none;\n  }\n}\n.bd-sidebar-primary h1, .bd-sidebar-primary .h1,\n.bd-sidebar-primary h2,\n.bd-sidebar-primary .h2,\n.bd-sidebar-primary h3,\n.bd-sidebar-primary .h3,\n.bd-sidebar-primary h4,\n.bd-sidebar-primary .h4 {\n  color: var(--pst-color-text-base);\n}\n.bd-sidebar-primary .sidebar-primary-items__start .sidebar-primary-item,\n.bd-sidebar-primary .sidebar-primary-items__end .sidebar-primary-item {\n  padding: 0.5rem 0;\n}\n.bd-sidebar-primary .sidebar-header-items {\n  display: flex;\n  flex-direction: column;\n}\n.bd-sidebar-primary .sidebar-header-items .sidebar-header-items__title {\n  font-weight: var(--pst-sidebar-header-font-weight);\n  font-size: var(--pst-sidebar-header-font-size);\n  color: var(--pst-color-text-base);\n  margin-bottom: 0.5rem;\n}\n.bd-sidebar-primary .sidebar-header-items .bd-navbar-elements .nav-link:focus-visible {\n  box-shadow: none;\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\n.bd-sidebar-primary .sidebar-header-items .sidebar-header-items__center {\n  display: flex;\n  flex-direction: column;\n}\n.bd-sidebar-primary .sidebar-header-items .sidebar-header-items__end {\n  display: flex;\n  align-items: center;\n  gap: 1rem;\n}\n@media (min-width: 960px) {\n  .bd-sidebar-primary .sidebar-header-items {\n    display: none;\n  }\n}\n.bd-sidebar-primary .sidebar-primary-items__start {\n  border-top: 1px solid var(--pst-color-border);\n}\n@media (min-width: 960px) {\n  .bd-sidebar-primary .sidebar-primary-items__start {\n    border-top: none;\n  }\n}\n.bd-sidebar-primary .sidebar-primary-items__end {\n  margin-top: auto;\n  margin-bottom: 1em;\n}\n.bd-sidebar-primary .list-caption {\n  list-style: none;\n  padding-left: 0;\n}\n.bd-sidebar-primary .list-caption li.toctree-l0.has-children > details > summary {\n  position: relative;\n  height: auto;\n  width: auto;\n  display: flex;\n  justify-content: space-between;\n  align-items: baseline;\n}\n.bd-sidebar-primary .list-caption li.toctree-l0.has-children > details > summary .toctree-toggle {\n  flex: 0 0 auto;\n}\n.bd-sidebar-primary .list-caption li.toctree-l0.has-children > details > summary .toctree-toggle .fa-chevron-down {\n  font-size: 1rem;\n}\n.bd-sidebar-primary li.has-children {\n  position: relative;\n}\n.bd-sidebar-primary li.has-children > .reference,\n.bd-sidebar-primary li.has-children .caption {\n  margin-right: calc(30px + 0.1875rem);\n  padding-top: 0.25rem;\n}\n.bd-sidebar-primary li.has-children > details > summary {\n  list-style: none;\n}\n.bd-sidebar-primary li.has-children > details > summary::-webkit-details-marker {\n  display: none;\n}\n.bd-sidebar-primary li.has-children > details > summary:focus-visible {\n  outline: none;\n}\n.bd-sidebar-primary li.has-children > details > summary:focus-visible > .toctree-toggle {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  outline-offset: -0.1875rem;\n}\n.bd-sidebar-primary li.has-children > details > summary .toctree-toggle {\n  cursor: pointer;\n  position: absolute;\n  top: 0;\n  right: 0;\n  width: 30px;\n  height: 30px;\n  display: inline-flex;\n  justify-content: center;\n  align-items: center;\n}\n.bd-sidebar-primary li.has-children > details > summary .toctree-toggle .fa-chevron-down {\n  font-size: 0.75rem;\n}\n.bd-sidebar-primary li.has-children > details[open] > summary .fa-chevron-down {\n  transform: rotate(180deg);\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -1rem;\n}\n@media (min-width: 960px) {\n  nav.bd-links {\n    display: block;\n  }\n}\nnav.bd-links ul {\n  display: block;\n  list-style: none;\n}\nnav.bd-links ul ul {\n  padding: 0 0 0 1rem;\n}\nnav.bd-links li > a {\n  display: block;\n  padding: 0.25rem 0.65rem;\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n  box-shadow: none;\n  margin-right: 0.1875rem;\n}\nnav.bd-links li > a:hover {\n  text-decoration: underline;\n  background-color: transparent;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\nnav.bd-links li > a:active {\n  color: var(--pst-color-link-hover);\n}\nnav.bd-links li > a:focus-visible {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n  z-index: 10;\n}\nnav.bd-links li > a.reference.external::after {\n  font: var(--fa-font-solid);\n  content: var(--pst-icon-external-link);\n  font-size: 0.75em;\n  margin-left: 0.3em;\n}\nnav.bd-links .current > a {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary);\n  background-color: transparent;\n}\nnav.bd-links .current > a:focus-visible {\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary), 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n}\nnav.bd-links p.bd-links__title {\n  font-size: var(--pst-sidebar-header-font-size);\n  font-weight: var(--pst-sidebar-header-font-weight);\n  margin-bottom: 0.5rem;\n}\nnav.bd-links p.caption {\n  font-weight: var(--pst-sidebar-header-font-weight);\n  position: relative;\n  margin-top: 1.25rem;\n  margin-bottom: 0.5rem;\n  color: var(--pst-color-text-base);\n  font-size: var(--pst-sidebar-font-size-mobile);\n}\nnav.bd-links p.caption:first-child {\n  margin-top: 0;\n}\n@media (min-width: 960px) {\n  nav.bd-links p.caption {\n    font-size: var(--pst-sidebar-font-size);\n  }\n}\n\n/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n@media (min-width: 1200px) {\n  .bd-sidebar-secondary {\n    font-size: var(--pst-sidebar-font-size);\n  }\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem;\n}\n@media (min-width: 1200px) {\n  .sidebar-secondary-item {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n}\n.sidebar-secondary-item i {\n  padding-right: 0.5rem;\n}\n\n/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n/**\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n.bd-sidebar::backdrop {\n  background-color: black;\n  opacity: 0.5;\n}\n\n@media (max-width: 959.98px) {\n  .bd-sidebar-primary {\n    position: fixed;\n    top: 0;\n    z-index: 1055;\n    height: 100vh;\n    max-height: 100vh;\n    width: 75%;\n    flex-grow: 0.75;\n    max-width: 350px;\n    transition: visibility 200ms ease-out, margin 200ms ease-out;\n    visibility: hidden;\n    border: 0;\n    margin-left: -75%;\n    left: 0;\n  }\n}\n.bd-sidebar-primary[open] {\n  margin-left: 0;\n  visibility: visible;\n}\n\n@media (max-width: 1199.98px) {\n  .bd-sidebar-secondary {\n    position: fixed;\n    top: 0;\n    z-index: 1055;\n    height: 100vh;\n    max-height: 100vh;\n    width: 75%;\n    flex-grow: 0.75;\n    max-width: 350px;\n    transition: visibility 200ms ease-out, margin 200ms ease-out;\n    visibility: hidden;\n    border: 0;\n    margin-right: -75%;\n    right: 0;\n  }\n}\n.bd-sidebar-secondary[open] {\n  margin-right: 0;\n  visibility: visible;\n}\n\n/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n  font-size: 0.8rem;\n}\nul.bd-breadcrumbs li.breadcrumb-item {\n  display: flex;\n  align-items: center;\n  white-space: nowrap;\n  overflow-x: hidden;\n  font-weight: bold;\n}\nul.bd-breadcrumbs li.breadcrumb-item a,\nul.bd-breadcrumbs li.breadcrumb-item .ellipsis {\n  overflow-x: hidden;\n  text-overflow: ellipsis;\n  margin: 0.1875rem;\n}\nul.bd-breadcrumbs li.breadcrumb-item a {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\nul.bd-breadcrumbs li.breadcrumb-item a:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\nul.bd-breadcrumbs li.breadcrumb-item:not(.breadcrumb-home)::before {\n  font: var(--fa-font-solid);\n  font-size: 0.8rem;\n  content: var(--pst-breadcrumb-divider);\n  color: var(--pst-color-text-muted);\n  padding: 0 0.5rem;\n}\n\n/**\n * Icon links in the navbar\n */\nhtml .pst-navbar-icon {\n  box-sizing: border-box;\n  min-width: 24px;\n  min-height: 24px;\n  color: var(--pst-color-text-muted);\n  position: relative;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  border-radius: 0;\n  border: none;\n  font-size: 1rem;\n  line-height: 1.65;\n  padding: 0.25rem 0;\n  height: 2.15rem;\n}\nhtml .pst-navbar-icon::before {\n  content: \"\";\n  display: block;\n  position: absolute;\n  inset: 0;\n  background-color: transparent;\n  bottom: calc(-1 * max(3px, .1875rem, .12em));\n  margin: max(3px, .1875rem, .12em) 0;\n}\nhtml .pst-navbar-icon:hover {\n  color: var(--pst-color-secondary);\n  text-decoration: none;\n}\nhtml .pst-navbar-icon:hover::before {\n  border-bottom: max(3px, .1875rem, .12em) solid var(--pst-color-secondary);\n}\nhtml .pst-navbar-icon:focus-visible {\n  box-shadow: none;\n  outline: 3px solid var(--pst-color-accent);\n  outline-offset: 0.1875rem;\n}\n\nul.navbar-icon-links {\n  display: flex;\n  flex-flow: row wrap;\n  column-gap: 1.12rem;\n  justify-content: space-evenly;\n  align-items: center;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\nul.navbar-icon-links i {\n  /* Social media buttons hard-code the brand color */\n}\nul.navbar-icon-links i.fa-brands, ul.navbar-icon-links i.fa-regular, ul.navbar-icon-links i.fa-solid {\n  vertical-align: middle;\n  font-style: normal;\n  font-size: var(--pst-font-size-icon);\n}\nul.navbar-icon-links i.fa-square-twitter::before {\n  color: #55acee;\n}\nul.navbar-icon-links i.fa-square-gitlab::before {\n  color: #548;\n}\nul.navbar-icon-links i.fa-bitbucket::before {\n  color: #0052cc;\n}\nul.navbar-icon-links img.icon-link-image {\n  height: 1.5em;\n  border-radius: 0.2rem;\n}\nul.navbar-icon-links .fa-pydata {\n  stroke: var(--pst-color-background);\n  stroke-linejoin: round;\n  stroke-width: 0.35;\n}\n\n/**\n * Logo in the navbar\n */\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n}\n.navbar-brand p {\n  color: var(--pst-color-text-base);\n  margin-bottom: 0;\n}\n.navbar-brand img {\n  max-width: 100%;\n  height: 100%;\n  width: auto;\n}\n.navbar-brand:hover, .navbar-brand:visited:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  color: var(--pst-color-text-base);\n}\n\n/**\n * Navigation links in the navbar and icon links\n */\nul.navbar-nav ul {\n  padding: 0 0 0 1rem;\n}\nul.navbar-nav li {\n  display: flex;\n  flex-direction: column;\n}\nul.navbar-nav li a {\n  display: flex;\n  align-items: center;\n  height: 100%;\n  padding-top: 0.25rem;\n  padding-bottom: 0.25rem;\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\nul.navbar-nav li a:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\n\n/**\n * The list of in-page TOC links\n */\n.page-toc .section-nav {\n  padding-left: 0;\n  border-bottom: none;\n}\n.page-toc .section-nav ul {\n  padding-left: 1rem;\n}\n.page-toc .nav-link {\n  font-size: var(--pst-sidebar-font-size-mobile);\n}\n@media (min-width: 1200px) {\n  .page-toc .nav-link {\n    font-size: var(--pst-sidebar-font-size);\n  }\n}\n.page-toc .onthispage {\n  color: var(--pst-color-text-base);\n  font-weight: var(--pst-sidebar-header-font-weight);\n  margin-bottom: 0.5rem;\n}\n\n/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n}\n.prev-next-area p {\n  color: var(--pst-color-text-muted);\n  margin: 0 0.3em;\n  line-height: 1.3em;\n}\n.prev-next-area i {\n  font-size: 1.2em;\n}\n.prev-next-area a {\n  display: flex;\n  align-items: center;\n  border: none;\n  padding: 10px;\n  max-width: 45%;\n  overflow-x: hidden;\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\n.prev-next-area a p.prev-next-title {\n  word-wrap: break-word;\n  color: var(--pst-color-link);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  font-weight: var(--pst-admonition-font-weight-heading);\n  font-size: 1.1em;\n}\n.prev-next-area a p.prev-next-title:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\n.prev-next-area a p.prev-next-title:active {\n  color: var(--pst-color-link);\n}\n.prev-next-area a p.prev-next-title:visited {\n  color: var(--pst-color-link);\n}\n.prev-next-area a p.prev-next-title:visited:hover {\n  color: var(--pst-color-link-hover);\n}\n.prev-next-area a:hover p.prev-next-title, .prev-next-area a:visited:hover p.prev-next-title {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n}\n.prev-next-area a .prev-next-info {\n  flex-direction: column;\n  margin: 0 0.5em;\n}\n.prev-next-area a .prev-next-info .prev-next-subtitle {\n  text-transform: capitalize;\n}\n.prev-next-area a.left-prev {\n  float: left;\n}\n.prev-next-area a.right-next {\n  float: right;\n}\n.prev-next-area a.right-next div.prev-next-info {\n  text-align: right;\n}\n\n/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: 0.25rem;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n}\n.bd-search:active {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-muted);\n}\n.bd-search:focus-within {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.bd-search:focus-within input:focus {\n  box-shadow: none;\n}\n.bd-search .icon {\n  position: absolute;\n  color: var(--pst-color-border);\n  left: 25px;\n}\n.bd-search .fa-solid.fa-magnifying-glass {\n  position: absolute;\n  left: calc((2.5rem - 0.7em) / 2);\n  color: var(--pst-color-text-muted);\n}\n.bd-search input.form-control {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-base);\n  border: none;\n}\n.bd-search input.form-control::placeholder {\n  color: var(--pst-color-text-muted);\n}\n.bd-search input.form-control::-webkit-search-cancel-button, .bd-search input.form-control::-webkit-search-decoration {\n  appearance: none;\n}\n.bd-search input.form-control:focus, .bd-search input.form-control:focus-visible {\n  color: var(--pst-color-text-muted);\n}\n.bd-search .search-button__kbd-shortcut {\n  display: none;\n  margin-inline-end: 0.5rem;\n  color: var(--pst-color-border);\n}\n@media (min-width: 720px) {\n  .bd-search .search-button__kbd-shortcut {\n    display: flex;\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n.search-button i {\n  font-size: 1.3rem;\n}\n\n/**\n * The search modal <dialog>\n */\n#pst-search-dialog {\n  display: none;\n}\n#pst-search-dialog[open] {\n  display: flex;\n  position: fixed;\n  z-index: 1055;\n  top: 30%;\n  left: 50%;\n  transform: translate(-50%, -50%);\n  right: 1rem;\n  margin-top: 0.5rem;\n  width: 90%;\n  max-width: 800px;\n  background-color: transparent;\n  padding: 0.1875rem;\n  border: none;\n}\n#pst-search-dialog[open]::backdrop {\n  background-color: black;\n  opacity: 0.5;\n}\n#pst-search-dialog[open] form.bd-search {\n  flex-grow: 1;\n}\n#pst-search-dialog[open] form.bd-search svg,\n#pst-search-dialog[open] form.bd-search input {\n  font-size: var(--pst-font-size-icon);\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: 1.5em;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n}\n.search-button-field:hover {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-link-hover);\n}\n.search-button-field:focus-visible {\n  border-radius: 1.5em;\n}\n.search-button-field .search-button__default-text {\n  font-size: var(--bs-nav-link-font-size);\n  font-weight: var(--bs-nav-link-font-weight);\n  margin-right: 0.5em;\n  margin-left: 0.5em;\n}\n.search-button-field .kbd-shortcut__modifier {\n  font-size: 0.75em;\n}\n.search-button-field > * {\n  align-items: center;\n}\n.search-button-field > :not(svg) {\n  display: none;\n}\n@media (min-width: 960px) {\n  .search-button-field > :not(svg) {\n    display: flex;\n  }\n}\n\n/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox p.highlight-link {\n  margin: 1rem 0;\n  width: fit-content;\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n@media (min-width: 1200px) {\n  div#searchbox p.highlight-link {\n    margin-left: 2rem;\n  }\n}\ndiv#searchbox p.highlight-link a {\n  border-radius: 0.25rem;\n  font-size: 1.25rem;\n  padding: 0.75rem;\n  background-color: var(--pst-color-primary);\n  color: var(--pst-color-primary-text);\n  text-decoration: none;\n  transition: box-shadow 0.25s ease-out;\n}\ndiv#searchbox p.highlight-link a:hover {\n  box-shadow: inset 0 0 50px 50px rgba(0, 0, 0, 0.25);\n}\ndiv#searchbox p.highlight-link a::before {\n  content: var(--pst-icon-search-minus);\n  color: unset;\n  font: var(--fa-font-solid);\n  margin-right: 0.5rem;\n}\n\n/**\n * Light/dark theme switcher\n */\n.theme-switch-button .theme-switch {\n  display: none;\n}\n.theme-switch-button .theme-switch:active {\n  text-decoration: none;\n  color: var(--pst-color-link-hover);\n}\n.theme-switch-button .theme-switch .fa-lg {\n  aspect-ratio: 1/1;\n}\n\nhtml[data-mode=auto] .theme-switch-button .theme-switch[data-mode=auto] {\n  display: inline;\n}\n\nhtml[data-mode=light] .theme-switch-button .theme-switch[data-mode=light] {\n  display: inline;\n}\n\nhtml[data-mode=dark] .theme-switch-button .theme-switch[data-mode=dark] {\n  display: inline;\n}\n\nbutton.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n  margin-bottom: 1em;\n}\n@media (min-width: 960px) {\n  button.btn.version-switcher__button {\n    margin-bottom: unset;\n  }\n}\nbutton.btn.version-switcher__button:hover {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-secondary);\n  border-color: transparent;\n}\nbutton.btn.version-switcher__button:active {\n  color: var(--pst-color-text-base);\n  border-color: var(--pst-color-border);\n}\nbutton.btn.version-switcher__button:focus-visible {\n  border-color: transparent;\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n}\n.version-switcher__menu a.list-group-item {\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-base);\n  padding: 0.75rem 1.25rem;\n}\n.version-switcher__menu a.list-group-item:not(:last-child) {\n  border-bottom: 1px solid var(--pst-color-border);\n}\n.version-switcher__menu a.list-group-item:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  background-color: var(--pst-color-surface);\n}\n.version-switcher__menu a.list-group-item.active {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary);\n  position: relative;\n  z-index: 1;\n}\n.version-switcher__menu a.list-group-item.active:focus-visible {\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary), 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n}\n.version-switcher__menu a.list-group-item.active span::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  z-index: -1;\n  left: 0;\n  top: 0;\n}\n.version-switcher__menu a.list-group-item:focus-visible {\n  z-index: 10;\n}\n\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em;\n  z-index: 1055;\n  box-sizing: border-box;\n  min-width: 24px;\n  min-height: 24px;\n}\n@media (min-width: 960px) {\n  button.version-switcher__button,\n  .version-switcher__menu {\n    font-size: unset;\n  }\n}\n\n/* Collapsing of the TOC sidebar while scrolling */\n/* Nav: hide second level (shown on .active) */\nnav.page-toc {\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav .nav {\n  display: none;\n}\n.bd-toc .nav .nav.visible {\n  display: block;\n}\n.bd-toc .nav > .active > ul {\n  display: block;\n}\n\n.toc-entry {\n  display: block;\n}\n.toc-entry a > code {\n  color: var(--pst-color-text-muted);\n}\n.toc-entry a.nav-link {\n  display: block;\n  padding: 0.25rem 0;\n  padding-left: 1rem;\n  margin-left: -1rem;\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\n.toc-entry a.nav-link:hover {\n  text-decoration: underline;\n  background-color: transparent;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\n.toc-entry a.nav-link:active {\n  color: var(--pst-color-link-hover);\n}\n.toc-entry a.nav-link:focus-visible {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n  z-index: 10;\n}\n.toc-entry a.nav-link.active {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary);\n  background-color: transparent;\n}\n.toc-entry a.nav-link.active:focus-visible {\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary), 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n}\n.toc-entry a.nav-link.active:hover {\n  color: var(--pst-color-link-hover);\n}\n.toc-entry a.nav-link:focus-visible {\n  border-radius: 0.125rem;\n}\n\ndiv.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem;\n  overflow: hidden;\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: 0.25rem;\n  background-color: var(--pst-color-on-background);\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n  position: relative;\n}\ndiv.versionadded > p,\ndiv.versionchanged > p,\ndiv.deprecated > p {\n  margin-bottom: 0.6rem;\n  margin-top: 0.6rem;\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n}\nspan.versionmodified::before {\n  margin-right: 0.6rem;\n  color: var(--pst-color-info);\n  font: var(--fa-font-solid);\n  content: var(--pst-icon-versionmodified-default);\n}\n\nspan.versionmodified.added::before {\n  color: var(--pst-color-success);\n  content: var(--pst-icon-versionmodified-added);\n}\n\nspan.versionmodified.changed::before {\n  color: var(--pst-color-warning);\n  content: var(--pst-icon-versionmodified-changed);\n}\n\nspan.versionmodified.deprecated::before {\n  color: var(--pst-color-danger);\n  content: var(--pst-icon-versionmodified-deprecated);\n}\n\n.sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n}\n@media (min-width: 960px) {\n  .sidebar-indices-items {\n    border-top: none;\n  }\n}\n.sidebar-indices-items .sidebar-indices-items__title {\n  font-weight: var(--pst-sidebar-header-font-weight);\n  font-size: var(--pst-sidebar-header-font-size);\n  color: var(--pst-color-text-base);\n  margin-bottom: 0.5rem;\n}\n.sidebar-indices-items ul.indices-link {\n  margin-right: -1rem;\n  list-style: none;\n  padding: 0;\n}\n.sidebar-indices-items ul.indices-link li > a {\n  display: block;\n  padding: 0.25rem 0;\n  color: var(--pst-color-text-muted);\n}\n.sidebar-indices-items ul.indices-link li > a:hover {\n  color: var(--pst-color-primary);\n  text-decoration: none;\n  background-color: transparent;\n}\n\n/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem;\n  overflow: hidden;\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: 0.25rem;\n  background-color: var(--pst-color-on-background);\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n}\ndiv.admonition *:last-child,\n.admonition *:last-child {\n  margin-bottom: 0;\n}\ndiv.admonition p.admonition-title ~ *,\n.admonition p.admonition-title ~ * {\n  margin-left: 1.4rem;\n  margin-right: 1.4rem;\n}\ndiv.admonition > ol,\ndiv.admonition > ul,\n.admonition > ol,\n.admonition > ul {\n  margin-left: 1em;\n}\ndiv.admonition > .admonition-title,\n.admonition > .admonition-title {\n  margin: 0 -0.6rem;\n  padding: 0.4rem 0.6rem 0.4rem 2rem;\n  font-weight: var(--pst-admonition-font-weight-heading);\n  position: relative;\n  background-color: var(--pst-color-info-bg);\n  z-index: 1;\n}\ndiv.admonition > .admonition-title::before,\n.admonition > .admonition-title::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  left: 0;\n  top: 0;\n  z-index: -1;\n  pointer-events: none;\n}\ndiv.admonition > .admonition-title::after,\n.admonition > .admonition-title::after {\n  position: absolute;\n  left: 0.5rem;\n  width: 1rem;\n  height: 1rem;\n  color: var(--pst-color-info);\n  font: var(--fa-font-solid);\n  line-height: inherit;\n  content: var(--pst-icon-admonition-default);\n  opacity: 1;\n}\ndiv.admonition > .admonition-title + *,\n.admonition > .admonition-title + * {\n  margin-top: 0.4em;\n}\ndiv.admonition.attention,\n.admonition.attention {\n  border-color: var(--pst-color-attention);\n}\ndiv.admonition.attention > .admonition-title,\n.admonition.attention > .admonition-title {\n  background-color: var(--pst-color-attention-bg);\n}\ndiv.admonition.attention > .admonition-title::after,\n.admonition.attention > .admonition-title::after {\n  color: var(--pst-color-attention);\n  content: var(--pst-icon-admonition-attention);\n}\ndiv.admonition.caution,\n.admonition.caution {\n  border-color: var(--pst-color-warning);\n}\ndiv.admonition.caution > .admonition-title,\n.admonition.caution > .admonition-title {\n  background-color: var(--pst-color-warning-bg);\n}\ndiv.admonition.caution > .admonition-title::after,\n.admonition.caution > .admonition-title::after {\n  color: var(--pst-color-warning);\n  content: var(--pst-icon-admonition-caution);\n}\ndiv.admonition.warning,\n.admonition.warning {\n  border-color: var(--pst-color-warning);\n}\ndiv.admonition.warning > .admonition-title,\n.admonition.warning > .admonition-title {\n  background-color: var(--pst-color-warning-bg);\n}\ndiv.admonition.warning > .admonition-title::after,\n.admonition.warning > .admonition-title::after {\n  color: var(--pst-color-warning);\n  content: var(--pst-icon-admonition-warning);\n}\ndiv.admonition.danger,\n.admonition.danger {\n  border-color: var(--pst-color-danger);\n}\ndiv.admonition.danger > .admonition-title,\n.admonition.danger > .admonition-title {\n  background-color: var(--pst-color-danger-bg);\n}\ndiv.admonition.danger > .admonition-title::after,\n.admonition.danger > .admonition-title::after {\n  color: var(--pst-color-danger);\n  content: var(--pst-icon-admonition-danger);\n}\ndiv.admonition.error,\n.admonition.error {\n  border-color: var(--pst-color-danger);\n}\ndiv.admonition.error > .admonition-title,\n.admonition.error > .admonition-title {\n  background-color: var(--pst-color-danger-bg);\n}\ndiv.admonition.error > .admonition-title::after,\n.admonition.error > .admonition-title::after {\n  color: var(--pst-color-danger);\n  content: var(--pst-icon-admonition-error);\n}\ndiv.admonition.hint,\n.admonition.hint {\n  border-color: var(--pst-color-success);\n}\ndiv.admonition.hint > .admonition-title,\n.admonition.hint > .admonition-title {\n  background-color: var(--pst-color-success-bg);\n}\ndiv.admonition.hint > .admonition-title::after,\n.admonition.hint > .admonition-title::after {\n  color: var(--pst-color-success);\n  content: var(--pst-icon-admonition-hint);\n}\ndiv.admonition.tip,\n.admonition.tip {\n  border-color: var(--pst-color-success);\n}\ndiv.admonition.tip > .admonition-title,\n.admonition.tip > .admonition-title {\n  background-color: var(--pst-color-success-bg);\n}\ndiv.admonition.tip > .admonition-title::after,\n.admonition.tip > .admonition-title::after {\n  color: var(--pst-color-success);\n  content: var(--pst-icon-admonition-tip);\n}\ndiv.admonition.important,\n.admonition.important {\n  border-color: var(--pst-color-attention);\n}\ndiv.admonition.important > .admonition-title,\n.admonition.important > .admonition-title {\n  background-color: var(--pst-color-attention-bg);\n}\ndiv.admonition.important > .admonition-title::after,\n.admonition.important > .admonition-title::after {\n  color: var(--pst-color-attention);\n  content: var(--pst-icon-admonition-important);\n}\ndiv.admonition.note,\n.admonition.note {\n  border-color: var(--pst-color-info);\n}\ndiv.admonition.note > .admonition-title,\n.admonition.note > .admonition-title {\n  background-color: var(--pst-color-info-bg);\n}\ndiv.admonition.note > .admonition-title::after,\n.admonition.note > .admonition-title::after {\n  color: var(--pst-color-info);\n  content: var(--pst-icon-admonition-note);\n}\ndiv.admonition.seealso,\n.admonition.seealso {\n  border-color: var(--pst-color-success);\n}\ndiv.admonition.seealso > .admonition-title,\n.admonition.seealso > .admonition-title {\n  background-color: var(--pst-color-success-bg);\n}\ndiv.admonition.seealso > .admonition-title::after,\n.admonition.seealso > .admonition-title::after {\n  color: var(--pst-color-success);\n  content: var(--pst-icon-admonition-seealso);\n}\ndiv.admonition.admonition-todo,\n.admonition.admonition-todo {\n  border-color: var(--pst-color-secondary);\n}\ndiv.admonition.admonition-todo > .admonition-title,\n.admonition.admonition-todo > .admonition-title {\n  background-color: var(--pst-color-secondary-bg);\n}\ndiv.admonition.admonition-todo > .admonition-title::after,\n.admonition.admonition-todo > .admonition-title::after {\n  color: var(--pst-color-secondary);\n  content: var(--pst-icon-admonition-todo);\n}\ndiv.admonition.sidebar,\n.admonition.sidebar {\n  max-width: 40%;\n  float: right;\n  clear: both;\n  margin-left: 0.5rem;\n  margin-top: 0;\n  border-width: 0 0 0 0.2rem;\n}\ndiv.admonition.sidebar.attention, div.admonition.sidebar.important,\n.admonition.sidebar.attention,\n.admonition.sidebar.important {\n  border-color: var(--pst-color-attention);\n}\ndiv.admonition.sidebar.caution, div.admonition.sidebar.warning,\n.admonition.sidebar.caution,\n.admonition.sidebar.warning {\n  border-color: var(--pst-color-warning);\n}\ndiv.admonition.sidebar.danger, div.admonition.sidebar.error,\n.admonition.sidebar.danger,\n.admonition.sidebar.error {\n  border-color: var(--pst-color-danger);\n}\ndiv.admonition.sidebar.hint, div.admonition.sidebar.tip, div.admonition.sidebar.seealso,\n.admonition.sidebar.hint,\n.admonition.sidebar.tip,\n.admonition.sidebar.seealso {\n  border-color: var(--pst-color-success);\n}\ndiv.admonition.sidebar.note, div.admonition.sidebar.todo,\n.admonition.sidebar.note,\n.admonition.sidebar.todo {\n  border-color: var(--pst-color-info);\n}\ndiv.admonition.sidebar p.admonition-title ~ *,\n.admonition.sidebar p.admonition-title ~ * {\n  margin-left: 0;\n  margin-right: 0;\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n/**\n * Topics and the {contents} directive\n */\ndiv.topic,\ndiv.topic.contents,\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: 0.25rem;\n  padding: 1rem 1.25rem;\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n}\ndiv.topic .topic-title,\ndiv.topic.contents .topic-title,\nnav.contents .topic-title,\naside.topic .topic-title {\n  margin: 0 0 0.5rem;\n}\ndiv.topic p,\ndiv.topic.contents p,\nnav.contents p,\naside.topic p {\n  color: var(--pst-color-on-surface) !important;\n}\ndiv.topic ul.simple,\ndiv.topic.contents ul.simple,\nnav.contents ul.simple,\naside.topic ul.simple {\n  padding-left: 1rem;\n}\ndiv.topic ul.simple ul,\ndiv.topic.contents ul.simple ul,\nnav.contents ul.simple ul,\naside.topic ul.simple ul {\n  padding-left: 2em;\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: 0.25rem;\n  margin-left: 0.5rem;\n  padding: 0;\n}\naside.sidebar > *:last-child {\n  padding-bottom: 1rem;\n}\naside.sidebar p.sidebar-title {\n  position: relative;\n  margin-bottom: 0;\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  border-bottom: 1px solid var(--pst-color-border);\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-admonition-font-weight-heading);\n}\naside.sidebar > *:not(.sidebar-title):first-child,\naside.sidebar > p.sidebar-title + * {\n  margin-top: 1rem;\n}\naside.sidebar > * {\n  padding-left: 1rem;\n  padding-right: 1rem;\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\n/*******************************************************************************\n* Styling for field lists\n*/\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n  /* italic font for parameter types */\n}\ntable.field-list th.field-name {\n  padding: 1px 8px 1px 5px;\n  white-space: nowrap;\n  background-color: var(--pst-color-surface);\n}\ntable.field-list td.field-body {\n  /* reduced space around parameter description */\n}\ntable.field-list td.field-body p {\n  font-style: italic;\n}\ntable.field-list td.field-body p > strong {\n  font-style: normal;\n}\ntable.field-list td.field-body blockquote {\n  border-left: none;\n  margin: 0 0 0.3em;\n  padding-left: 30px;\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n.table.autosummary td:first-child {\n  white-space: nowrap;\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors */\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\ndl > dt > a:has(.viewcode-link) {\n  float: right;\n}\ndl > dt > a:has(.viewcode-link) .viewcode-link {\n  float: none;\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) {\n  margin-bottom: 3rem;\n}\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dd {\n  margin-left: 2rem;\n}\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dd > dl.simple > dt {\n  display: flex;\n}\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dl.field-list {\n  display: grid;\n  grid-template-columns: unset;\n}\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dt.field-odd,\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dt.field-even {\n  margin-top: 0.2rem;\n  margin-bottom: 0.1rem;\n  background-color: var(--pst-color-surface);\n}\n\n/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\ndiv[class*=highlight-],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: 0.25rem;\n  break-inside: avoid;\n}\n\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\ndiv.literal-block-wrapper div.code-block-caption {\n  margin: 0;\n  border-bottom: 1px solid var(--pst-color-border);\n  padding: 0.5rem;\n  font-size: 1rem;\n  font-weight: var(--pst-font-weight-caption);\n}\ndiv.literal-block-wrapper div.code-block-caption a.headerlink {\n  font-size: inherit;\n}\ndiv.literal-block-wrapper div[class*=highlight-] {\n  margin: 0;\n  border-radius: 0;\n}\ndiv.literal-block-wrapper div[class*=highlight-] pre {\n  border: none;\n  box-shadow: none;\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n}\na > code:hover {\n  color: var(--pst-color-link-hover);\n}\n\nspan.linenos {\n  opacity: 0.8 !important;\n}\n\nfigure > a,\nfigure > a > img,\nfigure > img,\nfigure > video {\n  display: block;\n  margin-left: auto;\n  margin-right: auto;\n}\n\nfigure a.headerlink {\n  position: absolute;\n  font-size: inherit;\n}\nfigure:hover a.headerlink {\n  visibility: visible;\n}\nfigure figcaption {\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-caption);\n  color: var(--pst-color-text-muted);\n  margin-left: auto;\n  margin-right: auto;\n  margin-top: 0.3rem;\n  text-align: center;\n}\nfigure figcaption > p:last-child {\n  margin-bottom: 0;\n}\nfigure figcaption p {\n  text-align: start;\n  display: inline-block;\n}\nfigure figcaption table.table {\n  width: fit-content;\n  margin-left: auto;\n  margin-right: auto;\n}\n\ndt.label > span.brackets:not(:only-child)::before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child)::after {\n  content: \"]\";\n}\n\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\naside.footnote {\n  margin-bottom: 0.5rem;\n}\naside.footnote:last-child {\n  margin-bottom: 1rem;\n}\naside.footnote span.label,\naside.footnote span.backrefs {\n  font-weight: bold;\n}\naside.footnote:target {\n  background-color: var(--pst-color-target);\n}\n\n/**\n * Hacky fixes that don't fit cleanly into other sections\n */\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n}\n\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n}\nol li > p:first-child,\nul li > p:first-child {\n  margin-bottom: 0.25rem;\n  margin-top: 0.25rem;\n}\n\nblockquote {\n  padding: 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-blockquote-notch);\n  border-radius: 0.25rem;\n  position: relative;\n  background-color: var(--pst-color-surface);\n}\nblockquote p {\n  color: var(--pst-color-text-base);\n}\nblockquote .line-block {\n  margin: 0;\n}\nblockquote p:last-child {\n  margin-bottom: 0;\n}\nblockquote::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  left: 0;\n  top: 0;\n  z-index: -1;\n  pointer-events: none;\n}\nblockquote a {\n  color: var(--pst-color-inline-code-links);\n}\nblockquote::before {\n  z-index: -1;\n}\n\n/**\n * Span-level styling within content\n */\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n  background-color: var(--pst-color-info-bg);\n}\nspan.guilabel::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  left: 0;\n  top: 0;\n  z-index: -1;\n  pointer-events: none;\n}\n\na.reference.download::before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n\n/**\n * Tables\n */\ntable {\n  margin-left: auto;\n  margin-right: auto;\n}\ntable.table-right {\n  margin-right: 0;\n}\ntable.table-left {\n  margin-left: 0;\n}\n\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\nth.text-left,\ntd.text-left {\n  text-align: left;\n}\nth.text-right,\ntd.text-right {\n  text-align: right;\n}\nth.text-center,\ntd.text-center {\n  text-align: center;\n}\n\n.table {\n  color: var(--pst-color-table);\n  border: 1px solid var(--pst-color-table-outer-border);\n  --bs-table-bg: transparent;\n  --bs-table-color: var(\n    --pst-color-text-base\n  );\n}\n.table th ~ th,\n.table th ~ td,\n.table td ~ th,\n.table td ~ td {\n  border-left: 1px solid var(--pst-color-table-inner-border);\n}\n.table thead tr {\n  background-color: var(--pst-color-table-heading-bg);\n  border-bottom: 2px solid var(--pst-color-primary);\n}\n.table tbody tr:nth-child(odd) {\n  background-color: var(--pst-color-table-row-zebra-low-bg);\n}\n.table tbody tr:nth-child(even) {\n  background-color: var(--pst-color-table-row-zebra-high-bg);\n}\n\n.pst-scrollable-table-container {\n  overflow-x: auto;\n}\n\n/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper p.caption {\n  font-size: 1.5em;\n  margin-bottom: 0;\n}\n.toctree-wrapper > ul {\n  padding-left: 0;\n}\n.toctree-wrapper li[class^=toctree-l] {\n  list-style: none;\n  margin-bottom: 0.2em;\n}\n.toctree-wrapper li[class^=toctree-l] > a {\n  list-style: none;\n  font-size: 1.1em;\n}\n.toctree-wrapper li[class^=toctree-l] > ul {\n  list-style: none;\n  padding-inline-start: 1.5em;\n}\n.toctree-wrapper .toctree-l1 > a {\n  font-size: 1.3em;\n}\n\ndiv.topic.contents ul.simple,\nnav.contents ul.simple {\n  list-style: none;\n  padding-left: 0;\n}\n\n/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n  overflow: hidden;\n}\n\nspan.math {\n  display: inline-flex;\n}\n\ndiv.math {\n  gap: 0.5em;\n  flex-direction: row-reverse;\n}\ndiv.math span.eqno a.headerlink {\n  position: relative;\n  font-size: 1em;\n}\ndiv.math mjx-container {\n  flex-grow: 1;\n  padding-bottom: 0.2rem;\n  overflow: auto;\n}\ndiv.math mjx-container mjx-assistive-mml {\n  height: 0;\n}\n\n/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item h2, .ablog-sidebar-item .h2,\n.ablog-sidebar-item h3,\n.ablog-sidebar-item .h3 {\n  font-size: var(--pst-sidebar-header-font-size);\n  margin-top: 0.5rem;\n}\n.ablog-sidebar-item h2 a, .ablog-sidebar-item .h2 a,\n.ablog-sidebar-item h3 a,\n.ablog-sidebar-item .h3 a {\n  color: var(--pst-color-text-base);\n}\n.ablog-sidebar-item ul {\n  list-style: none;\n  padding-left: 0;\n  overflow-y: hidden;\n  display: flex;\n  flex-direction: column;\n  gap: 0.5em;\n  margin-bottom: 0;\n}\n.ablog-sidebar-item ul.ablog-cloud {\n  flex-flow: row wrap;\n  gap: 0.5rem;\n}\n.ablog-sidebar-item ul.ablog-cloud li {\n  display: flex;\n  align-items: center;\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n}\n.ablog__prev-next > span {\n  display: flex;\n  max-width: 45%;\n}\n.ablog__prev-next > span a {\n  display: flex;\n  align-items: center;\n  margin-left: auto;\n  gap: 1rem;\n  line-height: 1.5rem;\n}\n.ablog__prev-next > span a i::before {\n  color: var(--pst-color-text-base);\n}\n.ablog__prev-next span.ablog__prev i.fa-arrow-circle-left::before {\n  content: var(--pst-icon-angle-left);\n}\n.ablog__prev-next span.ablog__spacer {\n  display: none;\n}\n.ablog__prev-next span.ablog__next {\n  margin-left: auto;\n  text-align: right;\n}\n.ablog__prev-next span.ablog__next i.fa-arrow-circle-right::before {\n  content: var(--pst-icon-angle-right);\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n}\n.ablog__collection .ablog-post,\n.postlist .ablog-post {\n  list-style: none;\n}\n.ablog__collection .ablog-post .ablog-archive,\n.postlist .ablog-post .ablog-archive {\n  display: flex;\n  flex-flow: row wrap;\n  gap: 1rem;\n  list-style: none;\n  font-size: 0.75rem;\n  padding-left: 0;\n}\n.ablog__collection .ablog-post .ablog-post-title,\n.postlist .ablog-post .ablog-post-title {\n  margin-top: 0;\n  font-size: 1.25rem;\n}\n.ablog__collection .ablog-post .ablog-post-title a,\n.postlist .ablog-post .ablog-post-title a {\n  font-weight: bold;\n}\n.ablog__collection .ablog-post .ablog-post-expand,\n.postlist .ablog-post .ablog-post-expand {\n  margin-bottom: 0.5rem;\n}\n\n/**\n * Special cases for Bootstrap functionality\n */\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n\n.btn {\n  --bs-btn-focus-box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n\n/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\ndiv.highlight button.copybtn {\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  border: none;\n  background-color: var(--pst-color-surface);\n}\ndiv.highlight button.copybtn:not(.success) {\n  color: var(--pst-color-muted);\n}\ndiv.highlight button.copybtn:hover:not(.success) {\n  color: var(--pst-color-text);\n  background-color: var(--pst-color-shadow);\n}\ndiv.highlight button.copybtn.o-tooltip--left::after {\n  color: var(--pst-color-text);\n  background-color: var(--pst-color-surface);\n}\ndiv.highlight button.copybtn:focus {\n  opacity: 1;\n}\ndiv.highlight button.copybtn:focus-visible {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n}\n\ndiv.highlight:has(button.copybtn) {\n  min-height: 2em;\n}\n\n#ethical-ad-placement .ethical-sidebar a,\n#ethical-ad-placement .ethical-sidebar a:visited,\n#ethical-ad-placement .ethical-sidebar a:hover,\n#ethical-ad-placement .ethical-sidebar a:active,\n#ethical-ad-placement .ethical-footer a,\n#ethical-ad-placement .ethical-footer a:visited,\n#ethical-ad-placement .ethical-footer a:hover,\n#ethical-ad-placement .ethical-footer a:active {\n  color: var(--pst-color-text-base);\n}\n#ethical-ad-placement .ethical-sidebar,\n#ethical-ad-placement .ethical-footer {\n  background-color: var(--pst-color-background);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 5px;\n  color: var(--pst-color-text-base);\n  font-size: 14px;\n  line-height: 20px;\n}\n\n/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n/******************************************************************************\n * Jupyter Sphinx\n */\n.bd-content div.jupyter_container {\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n}\n.bd-content div.jupyter_container div.output,\n.bd-content div.jupyter_container div.highlight {\n  border-radius: 0.25rem;\n}\n.bd-content div.jupyter_container div.highlight {\n  background-color: var(--pst-color-surface);\n}\n.bd-content div.jupyter_container .cell_input,\n.bd-content div.jupyter_container .cell_output {\n  border-radius: 0.25rem;\n}\n.bd-content div.jupyter_container .cell_input pre,\n.bd-content div.jupyter_container .cell_output pre {\n  padding: 1rem;\n}\n\n/* Styles for graphviz generated output from Sphinx */\n/* Style the inheritance diagram such that it has a dark mode */\nhtml[data-theme=dark] div.graphviz > object.inheritance {\n  filter: brightness(0.8) invert(0.82) contrast(1.2);\n  color-scheme: normal;\n}\n\n/**\n * Special-cases for packages in the PyData ecosystem\n */\n.xr-wrap[hidden] {\n  display: block !important;\n}\n\n.jp-OutputArea-output.lm-Widget {\n  overflow: auto;\n}\n\n/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n/**\n* Function to get items from nested maps\n*/\n/* Assign base colors for the PyData theme */\n:root {\n  --pst-teal-50: #f4fbfc;\n  --pst-teal-100: #e9f6f8;\n  --pst-teal-200: #d0ecf1;\n  --pst-teal-300: #abdde6;\n  --pst-teal-400: #3fb1c5;\n  --pst-teal-500: #0a7d91;\n  --pst-teal-600: #085d6c;\n  --pst-teal-700: #064752;\n  --pst-teal-800: #042c33;\n  --pst-teal-900: #021b1f;\n  --pst-violet-50: #f4eefb;\n  --pst-violet-100: #e0c7ff;\n  --pst-violet-200: #d5b4fd;\n  --pst-violet-300: #b780ff;\n  --pst-violet-400: #9c5ffd;\n  --pst-violet-500: #8045e5;\n  --pst-violet-600: #6432bd;\n  --pst-violet-700: #4b258f;\n  --pst-violet-800: #341a61;\n  --pst-violet-900: #1e0e39;\n  --pst-gray-50: #f9f9fa;\n  --pst-gray-100: #f3f4f5;\n  --pst-gray-200: #e5e7ea;\n  --pst-gray-300: #d1d5da;\n  --pst-gray-400: #9ca4af;\n  --pst-gray-500: #677384;\n  --pst-gray-600: #48566b;\n  --pst-gray-700: #29313d;\n  --pst-gray-800: #222832;\n  --pst-gray-900: #14181e;\n  --pst-pink-50: #fcf8fd;\n  --pst-pink-100: #fcf0fa;\n  --pst-pink-200: #f8dff5;\n  --pst-pink-300: #f3c7ee;\n  --pst-pink-400: #e47fd7;\n  --pst-pink-500: #c132af;\n  --pst-pink-600: #912583;\n  --pst-pink-700: #6e1c64;\n  --pst-pink-800: #46123f;\n  --pst-pink-900: #2b0b27;\n  --pst-foundation-white: #ffffff;\n  --pst-foundation-black: #14181e;\n}\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * something inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  --pst-color-primary: #0a7d91;\n  --pst-color-primary-bg: #d0ecf1;\n  --pst-color-secondary: #8045e5;\n  --pst-color-secondary-bg: #e0c7ff;\n  --pst-color-accent: #c132af;\n  --pst-color-accent-bg: #f8dff5;\n  --pst-color-info: #276be9;\n  --pst-color-info-bg: #dce7fc;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-bg: #f8e3d0;\n  --pst-color-success: #00843f;\n  --pst-color-success-bg: #d6ece1;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-bg: #f9e1e4;\n  --pst-color-text-base: #222832;\n  --pst-color-text-muted: #48566b;\n  --pst-color-shadow: rgba(0, 0, 0, 0.1);\n  --pst-color-border: #d1d5da;\n  --pst-color-border-muted: rgba(23, 23, 26, 0.2);\n  --pst-color-blockquote-notch: #677384;\n  --pst-color-inline-code: #912583;\n  --pst-color-inline-code-links: #085d6c;\n  --pst-color-target: #f3cf95;\n  --pst-color-table: #14181e;\n  --pst-color-table-row-hover-bg: #d5b4fd;\n  --pst-color-table-inner-border: #e5e7ea;\n  --pst-color-background: #ffffff;\n  --pst-color-on-background: #ffffff;\n  --pst-color-surface: #f3f4f5;\n  --pst-color-on-surface: #222832;\n}\n\nhtml:not([data-theme]) {\n  --pst-color-heading: var(--pst-color-text-base);\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\n\nhtml:not([data-theme]) .only-dark,\nhtml:not([data-theme]) .only-dark ~ figcaption {\n  display: none !important;\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\nhtml[data-theme=light] {\n  --pst-color-primary: #0a7d91;\n  --pst-color-primary-bg: #d0ecf1;\n  --pst-color-secondary: #8045e5;\n  --pst-color-secondary-bg: #e0c7ff;\n  --pst-color-accent: #c132af;\n  --pst-color-accent-bg: #f8dff5;\n  --pst-color-info: #276be9;\n  --pst-color-info-bg: #dce7fc;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-bg: #f8e3d0;\n  --pst-color-success: #00843f;\n  --pst-color-success-bg: #d6ece1;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-bg: #f9e1e4;\n  --pst-color-text-base: #222832;\n  --pst-color-text-muted: #48566b;\n  --pst-color-shadow: rgba(0, 0, 0, 0.1);\n  --pst-color-border: #d1d5da;\n  --pst-color-border-muted: rgba(23, 23, 26, 0.2);\n  --pst-color-blockquote-notch: #677384;\n  --pst-color-inline-code: #912583;\n  --pst-color-inline-code-links: #085d6c;\n  --pst-color-target: #f3cf95;\n  --pst-color-table: #14181e;\n  --pst-color-table-row-hover-bg: #d5b4fd;\n  --pst-color-table-inner-border: #e5e7ea;\n  --pst-color-background: #ffffff;\n  --pst-color-on-background: #ffffff;\n  --pst-color-surface: #f3f4f5;\n  --pst-color-on-surface: #222832;\n  color-scheme: light;\n}\n\nhtml[data-theme=light] {\n  --pst-color-heading: var(--pst-color-text-base);\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\n\nhtml[data-theme=light] .only-dark,\nhtml[data-theme=light] .only-dark ~ figcaption {\n  display: none !important;\n}\n\nhtml[data-theme=dark] {\n  --pst-color-primary: #3fb1c5;\n  --pst-color-primary-bg: #042c33;\n  --pst-color-secondary: #9c5ffd;\n  --pst-color-secondary-bg: #341a61;\n  --pst-color-accent: #e47fd7;\n  --pst-color-accent-bg: #46123f;\n  --pst-color-info: #79a3f2;\n  --pst-color-info-bg: #06245d;\n  --pst-color-warning: #ff9245;\n  --pst-color-warning-bg: #652a02;\n  --pst-color-success: #5fb488;\n  --pst-color-success-bg: #002f17;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #e78894;\n  --pst-color-danger-bg: #4e111b;\n  --pst-color-text-base: #ced6dd;\n  --pst-color-text-muted: #9ca4af;\n  --pst-color-shadow: rgba(0, 0, 0, 0.2);\n  --pst-color-border: #48566b;\n  --pst-color-border-muted: #29313d;\n  --pst-color-blockquote-notch: #9ca4af;\n  --pst-color-inline-code: #f3c7ee;\n  --pst-color-inline-code-links: #3fb1c5;\n  --pst-color-target: #675c04;\n  --pst-color-table: #ffffff;\n  --pst-color-table-row-hover-bg: #4b258f;\n  --pst-color-table-inner-border: #364150;\n  --pst-color-background: #14181e;\n  --pst-color-on-background: #222832;\n  --pst-color-surface: #29313d;\n  --pst-color-on-surface: #f3f4f5;\n  /* Adjust images in dark mode (unless they have class .only-dark or\n   * .dark-light, in which case assume they're already optimized for dark\n   * mode).\n   */\n  /* Give images a light background in dark mode in case they have\n  *  transparency and black text (unless they have class .only-dark or .dark-light, in\n  *  which case assume they're already optimized for dark mode).\n  */\n  color-scheme: dark;\n}\n\nhtml[data-theme=dark] {\n  --pst-color-heading: var(--pst-color-text-base);\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\n\nhtml[data-theme=dark] .only-light,\nhtml[data-theme=dark] .only-light ~ figcaption {\n  display: none !important;\n}\n\nhtml[data-theme=dark] img:not(.only-dark, .dark-light) {\n  filter: brightness(0.8) contrast(1.2);\n}\n\nhtml[data-theme=dark] .bd-content img:not(.only-dark, .dark-light) {\n  background-color: rgb(255, 255, 255);\n  border-radius: 0.25rem;\n}\n\nhtml[data-theme=dark] .MathJax_SVG * {\n  fill: var(--pst-color-text-base);\n}\n\n.pst-color-primary {\n  color: var(--pst-color-primary);\n}\n\n.pst-color-secondary {\n  color: var(--pst-color-secondary);\n}\n\n.pst-color-accent {\n  color: var(--pst-color-accent);\n}\n\n.pst-color-info {\n  color: var(--pst-color-info);\n}\n\n.pst-color-warning {\n  color: var(--pst-color-warning);\n}\n\n.pst-color-success {\n  color: var(--pst-color-success);\n}\n\n.pst-color-attention {\n  color: var(--pst-color-attention);\n}\n\n.pst-color-danger {\n  color: var(--pst-color-danger);\n}\n\n.pst-color-text-base {\n  color: var(--pst-color-text-base);\n}\n\n.pst-color-text-muted {\n  color: var(--pst-color-text-muted);\n}\n\n.pst-color-shadow {\n  color: var(--pst-color-shadow);\n}\n\n.pst-color-border {\n  color: var(--pst-color-border);\n}\n\n.pst-color-border-muted {\n  color: var(--pst-color-border-muted);\n}\n\n.pst-color-blockquote-notch {\n  color: var(--pst-color-blockquote-notch);\n}\n\n.pst-color-inline-code {\n  color: var(--pst-color-inline-code);\n}\n\n.pst-color-inline-code-links {\n  color: var(--pst-color-inline-code-links);\n}\n\n.pst-color-target {\n  color: var(--pst-color-target);\n}\n\n.pst-color-table {\n  color: var(--pst-color-table);\n}\n\n.pst-color-table-row-hover {\n  color: var(--pst-color-table-row-hover);\n}\n\n.pst-color-table-inner-border {\n  color: var(--pst-color-table-inner-border);\n}\n\n.pst-color-background {\n  color: var(--pst-color-background);\n}\n\n.pst-color-on-background {\n  color: var(--pst-color-on-background);\n}\n\n.pst-color-surface {\n  color: var(--pst-color-surface);\n}\n\n.pst-color-on-surface {\n  color: var(--pst-color-on-surface);\n}\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\nhtml[data-theme=light] {\n  --pst-color-primary: rgb(10, 125, 145);\n  --pst-color-primary-text: #fff;\n  --pst-color-primary-highlight: #086b7c;\n  --sd-color-primary: var(--pst-color-primary);\n  --sd-color-primary-text: var(--pst-color-primary-text);\n  --sd-color-primary-highlight: var(--pst-color-primary-highlight);\n  --pst-color-primary-highlight-text: #fff;\n  --sd-color-primary-bg: #d0ecf1;\n  --sd-color-primary-bg-text: #14181e;\n  --pst-color-secondary: rgb(128, 69, 229);\n  --pst-color-secondary-text: #fff;\n  --pst-color-secondary-highlight: #651ee0;\n  --sd-color-secondary: var(--pst-color-secondary);\n  --sd-color-secondary-text: var(--pst-color-secondary-text);\n  --sd-color-secondary-highlight: var(--pst-color-secondary-highlight);\n  --pst-color-secondary-highlight-text: #fff;\n  --sd-color-secondary-bg: #e0c7ff;\n  --sd-color-secondary-bg-text: #14181e;\n  --pst-color-success: #00843f;\n  --pst-color-success-text: #fff;\n  --pst-color-success-highlight: #007036;\n  --sd-color-success: var(--pst-color-success);\n  --sd-color-success-text: var(--pst-color-success-text);\n  --sd-color-success-highlight: var(--pst-color-success-highlight);\n  --pst-color-success-highlight-text: #fff;\n  --sd-color-success-bg: #d6ece1;\n  --sd-color-success-bg-text: #14181e;\n  --pst-color-info: #276be9;\n  --pst-color-info-text: #fff;\n  --pst-color-info-highlight: #1457d3;\n  --sd-color-info: var(--pst-color-info);\n  --sd-color-info-text: var(--pst-color-info-text);\n  --sd-color-info-highlight: var(--pst-color-info-highlight);\n  --pst-color-info-highlight-text: #fff;\n  --sd-color-info-bg: #dce7fc;\n  --sd-color-info-bg-text: #14181e;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-text: #14181e;\n  --pst-color-warning-highlight: #d25a07;\n  --sd-color-warning: var(--pst-color-warning);\n  --sd-color-warning-text: var(--pst-color-warning-text);\n  --sd-color-warning-highlight: var(--pst-color-warning-highlight);\n  --pst-color-warning-highlight-text: #14181e;\n  --sd-color-warning-bg: #f8e3d0;\n  --sd-color-warning-bg-text: #14181e;\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-text: #fff;\n  --pst-color-danger-highlight: #bb2239;\n  --sd-color-danger: var(--pst-color-danger);\n  --sd-color-danger-text: var(--pst-color-danger-text);\n  --sd-color-danger-highlight: var(--pst-color-danger-highlight);\n  --pst-color-danger-highlight-text: #fff;\n  --sd-color-danger-bg: #f9e1e4;\n  --sd-color-danger-bg-text: #14181e;\n  --pst-color-light: #f3f4f5;\n  --pst-color-light-text: #14181e;\n  --pst-color-light-highlight: #c9cfd6;\n  --sd-color-light: var(--pst-color-light);\n  --sd-color-light-text: var(--pst-color-light-text);\n  --sd-color-light-highlight: var(--pst-color-light-highlight);\n  --pst-color-light-highlight-text: #14181e;\n  --sd-color-light-bg: #f7f7f8;\n  --sd-color-light-bg-text: #14181e;\n  --pst-color-muted: #29313d;\n  --pst-color-muted-text: #fff;\n  --pst-color-muted-highlight: #212936;\n  --sd-color-muted: var(--pst-color-muted);\n  --sd-color-muted-text: var(--pst-color-muted-text);\n  --sd-color-muted-highlight: var(--pst-color-muted-highlight);\n  --pst-color-muted-highlight-text: #fff;\n  --sd-color-muted-bg: #5a6c86;\n  --sd-color-muted-bg-text: #fff;\n  --pst-color-dark: #222832;\n  --pst-color-dark-text: #fff;\n  --pst-color-dark-highlight: #1b222c;\n  --sd-color-dark: var(--pst-color-dark);\n  --sd-color-dark-text: var(--pst-color-dark-text);\n  --sd-color-dark-highlight: var(--pst-color-dark-highlight);\n  --pst-color-dark-highlight-text: #fff;\n  --pst-color-black: #14181e;\n  --pst-color-black-text: #fff;\n  --pst-color-black-highlight: #10141a;\n  --sd-color-black: var(--pst-color-black);\n  --sd-color-black-text: var(--pst-color-black-text);\n  --sd-color-black-highlight: var(--pst-color-black-highlight);\n  --pst-color-black-highlight-text: #fff;\n  --pst-color-white: #fff;\n  --pst-color-white-text: #14181e;\n  --pst-color-white-highlight: #dbd7d7;\n  --sd-color-white: var(--pst-color-white);\n  --sd-color-white-text: var(--pst-color-white-text);\n  --sd-color-white-highlight: var(--pst-color-white-highlight);\n  --pst-color-white-highlight-text: #14181e;\n}\n\nhtml[data-theme=dark] {\n  --pst-color-primary: rgb(63, 177, 197);\n  --pst-color-primary-text: #14181e;\n  --pst-color-primary-highlight: #319aac;\n  --sd-color-primary: var(--pst-color-primary);\n  --sd-color-primary-text: var(--pst-color-primary-text);\n  --sd-color-primary-highlight: var(--pst-color-primary-highlight);\n  --pst-color-primary-highlight-text: #14181e;\n  --sd-color-primary-bg: #042c33;\n  --sd-color-primary-bg-text: #fff;\n  --pst-color-secondary: rgb(156, 95, 253);\n  --pst-color-secondary-text: #14181e;\n  --pst-color-secondary-highlight: #7c2bfc;\n  --sd-color-secondary: var(--pst-color-secondary);\n  --sd-color-secondary-text: var(--pst-color-secondary-text);\n  --sd-color-secondary-highlight: var(--pst-color-secondary-highlight);\n  --pst-color-secondary-highlight-text: #fff;\n  --sd-color-secondary-bg: #341a61;\n  --sd-color-secondary-bg-text: #fff;\n  --pst-color-success: #5fb488;\n  --pst-color-success-text: #14181e;\n  --pst-color-success-highlight: #47a373;\n  --sd-color-success: var(--pst-color-success);\n  --sd-color-success-text: var(--pst-color-success-text);\n  --sd-color-success-highlight: var(--pst-color-success-highlight);\n  --pst-color-success-highlight-text: #14181e;\n  --sd-color-success-bg: #002f17;\n  --sd-color-success-bg-text: #fff;\n  --pst-color-info: #79a3f2;\n  --pst-color-info-text: #14181e;\n  --pst-color-info-highlight: #4681ee;\n  --sd-color-info: var(--pst-color-info);\n  --sd-color-info-text: var(--pst-color-info-text);\n  --sd-color-info-highlight: var(--pst-color-info-highlight);\n  --pst-color-info-highlight-text: #14181e;\n  --sd-color-info-bg: #06245d;\n  --sd-color-info-bg-text: #fff;\n  --pst-color-warning: #ff9245;\n  --pst-color-warning-text: #14181e;\n  --pst-color-warning-highlight: #ff7614;\n  --sd-color-warning: var(--pst-color-warning);\n  --sd-color-warning-text: var(--pst-color-warning-text);\n  --sd-color-warning-highlight: var(--pst-color-warning-highlight);\n  --pst-color-warning-highlight-text: #14181e;\n  --sd-color-warning-bg: #652a02;\n  --sd-color-warning-bg-text: #fff;\n  --pst-color-danger: #e78894;\n  --pst-color-danger-text: #14181e;\n  --pst-color-danger-highlight: #df596a;\n  --sd-color-danger: var(--pst-color-danger);\n  --sd-color-danger-text: var(--pst-color-danger-text);\n  --sd-color-danger-highlight: var(--pst-color-danger-highlight);\n  --pst-color-danger-highlight-text: #14181e;\n  --sd-color-danger-bg: #4e111b;\n  --sd-color-danger-bg-text: #fff;\n  --pst-color-light: #f3f4f5;\n  --pst-color-light-text: #14181e;\n  --pst-color-light-highlight: #c9cfd6;\n  --sd-color-light: var(--pst-color-light);\n  --sd-color-light-text: var(--pst-color-light-text);\n  --sd-color-light-highlight: var(--pst-color-light-highlight);\n  --pst-color-light-highlight-text: #14181e;\n  --sd-color-light-bg: #a3abb2;\n  --sd-color-light-bg-text: #14181e;\n  --pst-color-muted: #f3f4f5;\n  --pst-color-muted-text: #14181e;\n  --pst-color-muted-highlight: #c9cfd6;\n  --sd-color-muted: var(--pst-color-muted);\n  --sd-color-muted-text: var(--pst-color-muted-text);\n  --sd-color-muted-highlight: var(--pst-color-muted-highlight);\n  --pst-color-muted-highlight-text: #14181e;\n  --sd-color-muted-bg: #1d222b;\n  --sd-color-muted-bg-text: #fff;\n  --pst-color-dark: #222832;\n  --pst-color-dark-text: #fff;\n  --pst-color-dark-highlight: #1b222c;\n  --sd-color-dark: var(--pst-color-dark);\n  --sd-color-dark-text: var(--pst-color-dark-text);\n  --sd-color-dark-highlight: var(--pst-color-dark-highlight);\n  --pst-color-dark-highlight-text: #fff;\n  --pst-color-black: #14181e;\n  --pst-color-black-text: #fff;\n  --pst-color-black-highlight: #10141a;\n  --sd-color-black: var(--pst-color-black);\n  --sd-color-black-text: var(--pst-color-black-text);\n  --sd-color-black-highlight: var(--pst-color-black-highlight);\n  --pst-color-black-highlight-text: #fff;\n  --pst-color-white: #fff;\n  --pst-color-white-text: #14181e;\n  --pst-color-white-highlight: #dbd7d7;\n  --sd-color-white: var(--pst-color-white);\n  --sd-color-white-text: var(--pst-color-white-text);\n  --sd-color-white-highlight: var(--pst-color-white-highlight);\n  --pst-color-white-highlight-text: #14181e;\n}\n\nhtml[data-theme=light] {\n  --sd-color-card-border: var(--pst-color-border);\n}\n\nhtml[data-theme=dark] {\n  --sd-color-card-border: var(--pst-color-border);\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=light] .sd-shadow-xs,\nhtml[data-theme=light] .sd-shadow-sm,\nhtml[data-theme=light] .sd-shadow-md,\nhtml[data-theme=light] .sd-shadow-lg {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/*******************************************************************************\n  * cards\n  */\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n}\n.bd-content .sd-card .sd-card-header {\n  background-color: var(--pst-color-on-background);\n  border-bottom: 1px solid var(--pst-color-border);\n}\n.bd-content .sd-card .sd-card-footer {\n  background-color: var(--pst-color-on-background);\n  border-top: 1px solid var(--pst-color-border);\n}\n.bd-content .sd-card .sd-card-body {\n  background-color: var(--pst-color-on-background);\n}\n.bd-content .sd-card .sd-stretched-link:focus-visible {\n  outline: none;\n}\n.bd-content .sd-card .sd-stretched-link:focus-visible::after {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  border-radius: 0.25rem;\n}\n.bd-content .sd-card.sd-card-hover:hover {\n  border-color: var(--pst-color-link-hover);\n}\n\n/*******************************************************************************\n  * tabs\n  */\n.bd-content .sd-tab-set > input:checked + label {\n  border-style: solid solid none;\n  border-color: var(--pst-color-primary) var(--pst-color-primary) transparent;\n  border-width: 0.125rem 0.125rem 0;\n  border-radius: 0.125rem 0.125rem 0 0;\n  background-color: var(--pst-color-on-background);\n  transform: translateY(0.125rem);\n  color: var(--pst-color-primary);\n}\n.bd-content .sd-tab-set > input:focus-visible + label {\n  border: 0.125rem solid var(--pst-color-accent);\n  border-radius: 0.125rem;\n  background-color: var(--pst-color-accent-bg);\n  color: var(--pst-color-on-surface);\n}\n.bd-content .sd-tab-set > input:not(:checked, :focus-visible) + label:hover {\n  border-color: transparent;\n  color: var(--pst-color-secondary);\n  text-decoration-line: underline;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n}\n.bd-content .sd-tab-set > label {\n  color: var(--pst-color-on-surface);\n  border: 0.125rem solid transparent;\n  border-radius: 0.125rem 0.125rem 0 0;\n  background-color: var(--pst-color-surface);\n  padding: 0 0.75em;\n  margin-inline-end: 0.25rem;\n  line-height: 1.95;\n}\nhtml[data-theme=dark] .bd-content .sd-tab-set > label {\n  background-color: var(--pst-color-on-background);\n}\n.bd-content .sd-tab-set .sd-tab-content {\n  border: 0.125rem solid var(--pst-color-primary);\n  border-radius: 0.1875rem;\n  box-shadow: unset;\n  padding: 0.625rem;\n  background-color: var(--pst-color-on-background);\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\ndetails.sd-dropdown {\n  border: 0 !important;\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n}\ndetails.sd-dropdown summary.sd-card-header {\n  border: 0 !important;\n  display: flex;\n  align-items: center;\n  position: relative;\n  font-weight: 600;\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  --pst-sd-dropdown-color: var(--pst-gray-500);\n  --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n  background-color: var(--pst-sd-dropdown-bg-color) !important;\n  border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n}\ndetails.sd-dropdown summary.sd-card-header + div.sd-summary-content {\n  border: 0;\n  --pst-sd-dropdown-color: var(--sd-color-card-border);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-primary {\n  --pst-sd-dropdown-color: var(--sd-color-primary);\n  --pst-sd-dropdown-bg-color: var(--sd-color-primary-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-primary + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-primary);\n  --pst-sd-dropdown-bg-color: var(--sd-color-primary-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-primary {\n  color: var(--sd-color-primary-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-secondary {\n  --pst-sd-dropdown-color: var(--sd-color-secondary);\n  --pst-sd-dropdown-bg-color: var(--sd-color-secondary-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-secondary + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-secondary);\n  --pst-sd-dropdown-bg-color: var(--sd-color-secondary-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-secondary {\n  color: var(--sd-color-secondary-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-success {\n  --pst-sd-dropdown-color: var(--sd-color-success);\n  --pst-sd-dropdown-bg-color: var(--sd-color-success-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-success + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-success);\n  --pst-sd-dropdown-bg-color: var(--sd-color-success-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-success {\n  color: var(--sd-color-success-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-info {\n  --pst-sd-dropdown-color: var(--sd-color-info);\n  --pst-sd-dropdown-bg-color: var(--sd-color-info-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-info + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-info);\n  --pst-sd-dropdown-bg-color: var(--sd-color-info-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-info {\n  color: var(--sd-color-info-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-warning {\n  --pst-sd-dropdown-color: var(--sd-color-warning);\n  --pst-sd-dropdown-bg-color: var(--sd-color-warning-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-warning + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-warning);\n  --pst-sd-dropdown-bg-color: var(--sd-color-warning-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-warning {\n  color: var(--sd-color-warning-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-danger {\n  --pst-sd-dropdown-color: var(--sd-color-danger);\n  --pst-sd-dropdown-bg-color: var(--sd-color-danger-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-danger + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-danger);\n  --pst-sd-dropdown-bg-color: var(--sd-color-danger-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-danger {\n  color: var(--sd-color-danger-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-light {\n  --pst-sd-dropdown-color: var(--sd-color-light);\n  --pst-sd-dropdown-bg-color: var(--sd-color-light-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-light + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-light);\n  --pst-sd-dropdown-bg-color: var(--sd-color-light-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-light {\n  color: var(--sd-color-light-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-muted {\n  --pst-sd-dropdown-color: var(--sd-color-muted);\n  --pst-sd-dropdown-bg-color: var(--sd-color-muted-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-muted + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-muted);\n  --pst-sd-dropdown-bg-color: var(--sd-color-muted-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-muted {\n  color: var(--sd-color-muted-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-dark {\n  --pst-sd-dropdown-color: var(--sd-color-dark);\n  --pst-sd-dropdown-bg-color: var(--sd-color-dark-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-dark + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-dark);\n  --pst-sd-dropdown-bg-color: var(--sd-color-dark-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-dark {\n  color: var(--sd-color-dark-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-black {\n  --pst-sd-dropdown-color: var(--sd-color-black);\n  --pst-sd-dropdown-bg-color: var(--sd-color-black-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-black + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-black);\n  --pst-sd-dropdown-bg-color: var(--sd-color-black-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-black {\n  color: var(--sd-color-black-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-white {\n  --pst-sd-dropdown-color: var(--sd-color-white);\n  --pst-sd-dropdown-bg-color: var(--sd-color-white-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-white + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-white);\n  --pst-sd-dropdown-bg-color: var(--sd-color-white-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-white {\n  color: var(--sd-color-white-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  left: 0;\n  top: 0;\n  z-index: -1;\n  pointer-events: none;\n}\ndetails.sd-dropdown summary.sd-card-header + div.sd-summary-content {\n  border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n  border-bottom-left-radius: calc(0.25rem - 1px);\n  background-color: var(--pst-color-on-background);\n}\ndetails.sd-dropdown summary.sd-card-header span.sd-summary-icon {\n  display: inline-flex;\n  align-items: center;\n  color: var(--pst-sd-dropdown-color) !important;\n}\ndetails.sd-dropdown summary.sd-card-header span.sd-summary-icon svg {\n  opacity: 1;\n}\ndetails.sd-dropdown summary.sd-card-header .sd-summary-up,\ndetails.sd-dropdown summary.sd-card-header .sd-summary-down {\n  top: 0.7rem;\n}\ndetails.sd-dropdown summary.sd-card-header:hover {\n  filter: brightness(0.9);\n}\nhtml[data-theme=dark] details.sd-dropdown summary.sd-card-header:hover {\n  filter: brightness(1.1);\n}\ndetails.sd-dropdown summary.sd-card-header:focus:focus-visible {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n}\ndetails.sd-dropdown[open] summary.sd-card-header:focus:focus-visible {\n  border-bottom-left-radius: 0;\n  border-bottom-right-radius: 0;\n}\n\n/*******************************************************************************\n* Buttons (which in Sphinx Design are actually links that look like buttons)\n* ref: https://sphinx-design.readthedocs.io/en/pydata-theme/badges_buttons.html#buttons\n*/\nhtml .sd-btn {\n  min-width: 2.25rem;\n  padding: 0.3125rem 0.75rem 0.4375rem;\n}\nhtml .sd-btn:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: 1px;\n}\nhtml .sd-btn-primary:hover {\n  color: var(--pst-color-primary-highlight-text) !important;\n}\nhtml .sd-btn-secondary:hover {\n  color: var(--pst-color-secondary-highlight-text) !important;\n}\nhtml .sd-btn-success:hover {\n  color: var(--pst-color-success-highlight-text) !important;\n}\nhtml .sd-btn-info:hover {\n  color: var(--pst-color-info-highlight-text) !important;\n}\nhtml .sd-btn-warning:hover {\n  color: var(--pst-color-warning-highlight-text) !important;\n}\nhtml .sd-btn-danger:hover {\n  color: var(--pst-color-danger-highlight-text) !important;\n}\nhtml .sd-btn-light:hover {\n  color: var(--pst-color-light-highlight-text) !important;\n}\nhtml .sd-btn-muted:hover {\n  color: var(--pst-color-muted-highlight-text) !important;\n}\nhtml .sd-btn-dark:hover {\n  color: var(--pst-color-dark-highlight-text) !important;\n}\nhtml .sd-btn-black:hover {\n  color: var(--pst-color-black-highlight-text) !important;\n}\nhtml .sd-btn-white:hover {\n  color: var(--pst-color-white-highlight-text) !important;\n}\nhtml .sd-btn-primary:focus-visible,\nhtml .sd-btn-outline-primary:focus-visible {\n  outline: var(--sd-color-primary) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-primary) !important;\n  border-color: var(--sd-color-primary) !important;\n}\nhtml .sd-btn-secondary:focus-visible,\nhtml .sd-btn-outline-secondary:focus-visible {\n  outline: var(--sd-color-secondary) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-secondary) !important;\n  border-color: var(--sd-color-secondary) !important;\n}\nhtml .sd-btn-success:focus-visible,\nhtml .sd-btn-outline-success:focus-visible {\n  outline: var(--sd-color-success) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-success) !important;\n  border-color: var(--sd-color-success) !important;\n}\nhtml .sd-btn-info:focus-visible,\nhtml .sd-btn-outline-info:focus-visible {\n  outline: var(--sd-color-info) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-info) !important;\n  border-color: var(--sd-color-info) !important;\n}\nhtml .sd-btn-warning:focus-visible,\nhtml .sd-btn-outline-warning:focus-visible {\n  outline: var(--sd-color-warning) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-warning) !important;\n  border-color: var(--sd-color-warning) !important;\n}\nhtml .sd-btn-danger:focus-visible,\nhtml .sd-btn-outline-danger:focus-visible {\n  outline: var(--sd-color-danger) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-danger) !important;\n  border-color: var(--sd-color-danger) !important;\n}\nhtml .sd-btn-light:focus-visible,\nhtml .sd-btn-outline-light:focus-visible {\n  outline: var(--sd-color-light) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-light) !important;\n  border-color: var(--sd-color-light) !important;\n}\nhtml .sd-btn-muted:focus-visible,\nhtml .sd-btn-outline-muted:focus-visible {\n  outline: var(--sd-color-muted) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-muted) !important;\n  border-color: var(--sd-color-muted) !important;\n}\nhtml .sd-btn-dark:focus-visible,\nhtml .sd-btn-outline-dark:focus-visible {\n  outline: var(--sd-color-dark) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-dark) !important;\n  border-color: var(--sd-color-dark) !important;\n}\nhtml .sd-btn-black:focus-visible,\nhtml .sd-btn-outline-black:focus-visible {\n  outline: var(--sd-color-black) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-black) !important;\n  border-color: var(--sd-color-black) !important;\n}\nhtml .sd-btn-white:focus-visible,\nhtml .sd-btn-outline-white:focus-visible {\n  outline: var(--sd-color-white) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n  background-color: var(--sd-color-white) !important;\n  border-color: var(--sd-color-white) !important;\n}\n\n/**\n * Sphinx togglebutton\n *\n * The rules in this style sheet are meant to tweak the\n * [sphinx-togglebutton](https://sphinx-togglebutton.readthedocs.io/en/latest/index.html)\n * extension so that it matches the look and feel of this theme.\n */\n.bd-content .dropdown.admonition.toggle .admonition-title:hover .tb-icon {\n  opacity: 1;\n  scale: 1.1;\n}\n.bd-content .dropdown.admonition.toggle .admonition-title .tb-icon {\n  opacity: 0.6;\n}\n.bd-content .dropdown.admonition.toggle .admonition-title:hover {\n  filter: brightness(0.9);\n}\nhtml[data-theme=dark] .bd-content .dropdown.admonition.toggle .admonition-title:hover {\n  filter: brightness(1.1);\n}\n.bd-content .dropdown.admonition.toggle .admonition-title:hover {\n  box-shadow: none;\n}\n.bd-content .dropdown.admonition.toggle button.toggle-button {\n  color: inherit;\n}\n.bd-content .dropdown.admonition.toggle button.toggle-button.toggle-button-hidden .toggle-chevron-right {\n  transform: rotate(90deg);\n  transition: none;\n}\n.bd-content .dropdown.admonition.toggle button.toggle-button .toggle-chevron-right {\n  transform: rotate(-90deg);\n  transition: none;\n}\n.bd-content .dropdown.admonition.toggle:has(:focus-visible) {\n  /* Override Sphinx Toggle Button. Make the overflow visible, otherwise the\n  focus ring is hidden. */\n  overflow: visible;\n  /*\n  Why not just do the following?\n\n  ```\n  .admonition-title {\n    outline: $focus-ring-outline;\n  }\n  ```\n\n  Why use ::before? If we put the focus ring on the ::before pseudo-element,\n  we can reposition the focus ring by repositioning the pseudo-element.\n\n  Why reposition? The left edge of the admonition title box does not align\n  with the left edge of the overall admonition box. There is a left border\n  that belongs to the overall box. The border is outside of the admonition\n  title, which means it is also outside of a focus ring around the title. We\n  can make the focus ring bigger, with `outline-offset`, but this will\n  result in a ring that looks off-centered. So we have to pull the ring left\n  and stretch it right. That's what the pseudo-element allows us to do.\n\n  Note: we do not have to do this for collapsible admonitions made with\n  Sphinx Design (as opposed to sphinx-togglebutton).\n  */\n}\n.bd-content .dropdown.admonition.toggle:has(:focus-visible) .admonition-title::before {\n  content: \"\";\n  left: -0.2rem;\n  width: calc(100% + 0.2rem);\n  height: 100%;\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  outline-offset: 0.125rem;\n  border-radius: 0.1875rem;\n}\n.bd-content .dropdown.admonition.toggle:has(:focus-visible):not(.toggle-hidden) .admonition-title::before {\n  border-bottom-left-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.bd-content details.toggle-details summary {\n  border-left: 3px solid var(--pst-color-primary);\n}\n.bd-content details.toggle-details summary .toggle-chevron-right {\n  transform: rotate(90deg);\n  transition: none;\n}\n.bd-content details.toggle-details summary:hover .tb-icon {\n  opacity: 1;\n  scale: 1.1;\n}\n.bd-content details.toggle-details summary .tb-icon {\n  opacity: 0.6;\n}\n.bd-content details.toggle-details summary:hover {\n  filter: brightness(0.9);\n}\nhtml[data-theme=dark] .bd-content details.toggle-details summary:hover {\n  filter: brightness(1.1);\n}\n.bd-content details.toggle-details summary:hover {\n  box-shadow: none;\n}\n.bd-content details.toggle-details summary:focus-visible {\n  outline-offset: 0.125rem;\n}\n.bd-content details.toggle-details[open] .toggle-chevron-right {\n  transform: rotate(-90deg);\n  transition: none;\n}\n.bd-content details.toggle-details[open] :focus-visible {\n  border-bottom-left-radius: 0;\n  border-bottom-right-radius: 0;\n}\n\n/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html,\nhtml .jp-RenderedHTMLCommon {\n  margin: 0.1875rem;\n}\nhtml div.rendered_html table,\nhtml .jp-RenderedHTMLCommon table {\n  table-layout: auto;\n}\n\n.bd-content .nboutput .output_area.rendered_html table.dataframe,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe {\n  color: var(--pst-color-table);\n  border: 1px solid var(--pst-color-table-outer-border);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe th ~ th,\n.bd-content .nboutput .output_area.rendered_html table.dataframe th ~ td,\n.bd-content .nboutput .output_area.rendered_html table.dataframe td ~ th,\n.bd-content .nboutput .output_area.rendered_html table.dataframe td ~ td,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe th ~ th,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe th ~ td,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe td ~ th,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe td ~ td {\n  border-left: 1px solid var(--pst-color-table-inner-border);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe thead tr,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe thead tr {\n  background-color: var(--pst-color-table-heading-bg);\n  border-bottom: 2px solid var(--pst-color-primary);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe tbody tr:nth-child(odd),\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe tbody tr:nth-child(odd) {\n  background-color: var(--pst-color-table-row-zebra-low-bg);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe tbody tr:nth-child(even),\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe tbody tr:nth-child(even) {\n  background-color: var(--pst-color-table-row-zebra-high-bg);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe tbody tr:hover,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe tbody tr:hover {\n  background-color: var(--pst-color-table-row-hover-bg);\n}\nhtml[data-theme=dark] .bd-content .nboutput .output_area.rendered_html:not(:has(table.dataframe)),\nhtml[data-theme=dark] .bd-content .nboutput .output_area .widget-subarea {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\nhtml[data-theme=dark] .bd-content .nboutput .output_area.stderr {\n  background-color: var(--pst-color-danger);\n}\n\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\nhtml[data-theme=light] .nbinput.container .prompt pre {\n  color: #005b82;\n}\nhtml[data-theme=dark] .nbinput.container .prompt pre {\n  color: #00e0e0;\n}\n\nhtml[data-theme=light] .nboutput.container .prompt pre {\n  color: #a12236;\n}\nhtml[data-theme=dark] .nboutput.container .prompt pre {\n  color: #ffa07a;\n}\n\n/*******************************************************************************\n * myst NB\n */\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n.bd-content div.cell_output table.dataframe {\n  color: var(--pst-color-table);\n  border: 1px solid var(--pst-color-table-outer-border);\n}\n.bd-content div.cell_output table.dataframe th ~ th,\n.bd-content div.cell_output table.dataframe th ~ td,\n.bd-content div.cell_output table.dataframe td ~ th,\n.bd-content div.cell_output table.dataframe td ~ td {\n  border-left: 1px solid var(--pst-color-table-inner-border);\n}\n.bd-content div.cell_output table.dataframe thead tr {\n  background-color: var(--pst-color-table-heading-bg);\n  border-bottom: 2px solid var(--pst-color-primary);\n}\n.bd-content div.cell_output table.dataframe tbody tr:nth-child(odd) {\n  background-color: var(--pst-color-table-row-zebra-low-bg);\n}\n.bd-content div.cell_output table.dataframe tbody tr:nth-child(even) {\n  background-color: var(--pst-color-table-row-zebra-high-bg);\n}\n.bd-content div.cell_output table.dataframe tbody tr:hover {\n  background-color: var(--pst-color-table-row-hover-bg);\n}\nhtml[data-theme=dark] .bd-content div.cell_output img,\nhtml[data-theme=dark] .bd-content div.cell_output .text_html:not(:has(table.dataframe)),\nhtml[data-theme=dark] .bd-content div.cell_output .widget-subarea {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n\n.bd-content div.cell_input {\n  display: flex;\n  flex-direction: column;\n  justify-content: stretch;\n}\n.bd-content div.cell_input,\n.bd-content div.output {\n  border-radius: 0.25rem;\n}\n.bd-content div.output table {\n  table-layout: auto;\n}\n\n/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=dark] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n\n/**\n * /search.html page special-cases\n */\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n}\n.bd-search-container div#search-results > h2, .bd-search-container div#search-results > .h2 {\n  font-size: var(--pst-font-size-icon);\n  margin-top: 1rem;\n}\n.bd-search-container div#search-results p.search-summary {\n  color: var(--pst-color-text-muted);\n}\n.bd-search-container ul.search {\n  margin: 0;\n  list-style: none;\n}\n.bd-search-container ul.search li {\n  background-image: none;\n  padding: 1rem 0;\n  margin: 1rem 0;\n  border-top: 1px solid var(--pst-color-text-muted);\n}\n.bd-search-container ul.search li > a {\n  font-size: 1.2em;\n}\n.bd-search-container ul.search li div.context,\n.bd-search-container ul.search li p.context {\n  color: var(--pst-color-text-base);\n  margin: 0.5em 0 0;\n}\n.bd-search-container ul.search li div.context a::before,\n.bd-search-container ul.search li p.context a::before {\n  content: \"#\";\n  padding-right: 0.2em;\n  color: var(--pst-color-text-muted);\n}","@mixin bsBanner($file) {\n  /*!\n   * Bootstrap #{$file} v5.3.3 (https://getbootstrap.com/)\n   * Copyright 2011-2024 The Bootstrap Authors\n   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n   */\n}\n",":root,\n[data-bs-theme=\"light\"] {\n  // Note: Custom variable values only support SassScript inside `#{}`.\n\n  // Colors\n  //\n  // Generate palettes for full colors, grays, and theme colors.\n\n  @each $color, $value in $colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $grays {\n    --#{$prefix}gray-#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-rgb {\n    --#{$prefix}#{$color}-rgb: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-text {\n    --#{$prefix}#{$color}-text-emphasis: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-bg-subtle {\n    --#{$prefix}#{$color}-bg-subtle: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-border-subtle {\n    --#{$prefix}#{$color}-border-subtle: #{$value};\n  }\n\n  --#{$prefix}white-rgb: #{to-rgb($white)};\n  --#{$prefix}black-rgb: #{to-rgb($black)};\n\n  // Fonts\n\n  // Note: Use `inspect` for lists so that quoted items keep the quotes.\n  // See https://github.com/sass/sass/issues/2383#issuecomment-336349172\n  --#{$prefix}font-sans-serif: #{inspect($font-family-sans-serif)};\n  --#{$prefix}font-monospace: #{inspect($font-family-monospace)};\n  --#{$prefix}gradient: #{$gradient};\n\n  // Root and body\n  // scss-docs-start root-body-variables\n  @if $font-size-root != null {\n    --#{$prefix}root-font-size: #{$font-size-root};\n  }\n  --#{$prefix}body-font-family: #{inspect($font-family-base)};\n  @include rfs($font-size-base, --#{$prefix}body-font-size);\n  --#{$prefix}body-font-weight: #{$font-weight-base};\n  --#{$prefix}body-line-height: #{$line-height-base};\n  @if $body-text-align != null {\n    --#{$prefix}body-text-align: #{$body-text-align};\n  }\n\n  --#{$prefix}body-color: #{$body-color};\n  --#{$prefix}body-color-rgb: #{to-rgb($body-color)};\n  --#{$prefix}body-bg: #{$body-bg};\n  --#{$prefix}body-bg-rgb: #{to-rgb($body-bg)};\n\n  --#{$prefix}emphasis-color: #{$body-emphasis-color};\n  --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color)};\n\n  --#{$prefix}secondary-color: #{$body-secondary-color};\n  --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color)};\n  --#{$prefix}secondary-bg: #{$body-secondary-bg};\n  --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg)};\n\n  --#{$prefix}tertiary-color: #{$body-tertiary-color};\n  --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color)};\n  --#{$prefix}tertiary-bg: #{$body-tertiary-bg};\n  --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg)};\n  // scss-docs-end root-body-variables\n\n  --#{$prefix}heading-color: #{$headings-color};\n\n  --#{$prefix}link-color: #{$link-color};\n  --#{$prefix}link-color-rgb: #{to-rgb($link-color)};\n  --#{$prefix}link-decoration: #{$link-decoration};\n\n  --#{$prefix}link-hover-color: #{$link-hover-color};\n  --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color)};\n\n  @if $link-hover-decoration != null {\n    --#{$prefix}link-hover-decoration: #{$link-hover-decoration};\n  }\n\n  --#{$prefix}code-color: #{$code-color};\n  --#{$prefix}highlight-color: #{$mark-color};\n  --#{$prefix}highlight-bg: #{$mark-bg};\n\n  // scss-docs-start root-border-var\n  --#{$prefix}border-width: #{$border-width};\n  --#{$prefix}border-style: #{$border-style};\n  --#{$prefix}border-color: #{$border-color};\n  --#{$prefix}border-color-translucent: #{$border-color-translucent};\n\n  --#{$prefix}border-radius: #{$border-radius};\n  --#{$prefix}border-radius-sm: #{$border-radius-sm};\n  --#{$prefix}border-radius-lg: #{$border-radius-lg};\n  --#{$prefix}border-radius-xl: #{$border-radius-xl};\n  --#{$prefix}border-radius-xxl: #{$border-radius-xxl};\n  --#{$prefix}border-radius-2xl: var(--#{$prefix}border-radius-xxl); // Deprecated in v5.3.0 for consistency\n  --#{$prefix}border-radius-pill: #{$border-radius-pill};\n  // scss-docs-end root-border-var\n\n  --#{$prefix}box-shadow: #{$box-shadow};\n  --#{$prefix}box-shadow-sm: #{$box-shadow-sm};\n  --#{$prefix}box-shadow-lg: #{$box-shadow-lg};\n  --#{$prefix}box-shadow-inset: #{$box-shadow-inset};\n\n  // Focus styles\n  // scss-docs-start root-focus-variables\n  --#{$prefix}focus-ring-width: #{$focus-ring-width};\n  --#{$prefix}focus-ring-opacity: #{$focus-ring-opacity};\n  --#{$prefix}focus-ring-color: #{$focus-ring-color};\n  // scss-docs-end root-focus-variables\n\n  // scss-docs-start root-form-validation-variables\n  --#{$prefix}form-valid-color: #{$form-valid-color};\n  --#{$prefix}form-valid-border-color: #{$form-valid-border-color};\n  --#{$prefix}form-invalid-color: #{$form-invalid-color};\n  --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color};\n  // scss-docs-end root-form-validation-variables\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark, true) {\n    color-scheme: dark;\n\n    // scss-docs-start root-dark-mode-vars\n    --#{$prefix}body-color: #{$body-color-dark};\n    --#{$prefix}body-color-rgb: #{to-rgb($body-color-dark)};\n    --#{$prefix}body-bg: #{$body-bg-dark};\n    --#{$prefix}body-bg-rgb: #{to-rgb($body-bg-dark)};\n\n    --#{$prefix}emphasis-color: #{$body-emphasis-color-dark};\n    --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color-dark)};\n\n    --#{$prefix}secondary-color: #{$body-secondary-color-dark};\n    --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color-dark)};\n    --#{$prefix}secondary-bg: #{$body-secondary-bg-dark};\n    --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg-dark)};\n\n    --#{$prefix}tertiary-color: #{$body-tertiary-color-dark};\n    --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color-dark)};\n    --#{$prefix}tertiary-bg: #{$body-tertiary-bg-dark};\n    --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg-dark)};\n\n    @each $color, $value in $theme-colors-text-dark {\n      --#{$prefix}#{$color}-text-emphasis: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-bg-subtle-dark {\n      --#{$prefix}#{$color}-bg-subtle: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-border-subtle-dark {\n      --#{$prefix}#{$color}-border-subtle: #{$value};\n    }\n\n    --#{$prefix}heading-color: #{$headings-color-dark};\n\n    --#{$prefix}link-color: #{$link-color-dark};\n    --#{$prefix}link-hover-color: #{$link-hover-color-dark};\n    --#{$prefix}link-color-rgb: #{to-rgb($link-color-dark)};\n    --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color-dark)};\n\n    --#{$prefix}code-color: #{$code-color-dark};\n    --#{$prefix}highlight-color: #{$mark-color-dark};\n    --#{$prefix}highlight-bg: #{$mark-bg-dark};\n\n    --#{$prefix}border-color: #{$border-color-dark};\n    --#{$prefix}border-color-translucent: #{$border-color-translucent-dark};\n\n    --#{$prefix}form-valid-color: #{$form-valid-color-dark};\n    --#{$prefix}form-valid-border-color: #{$form-valid-border-color-dark};\n    --#{$prefix}form-invalid-color: #{$form-invalid-color-dark};\n    --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color-dark};\n    // scss-docs-end root-dark-mode-vars\n  }\n}\n","// stylelint-disable scss/dimension-no-non-numeric-values\n\n// SCSS RFS mixin\n//\n// Automated responsive values for font sizes, paddings, margins and much more\n//\n// Licensed under MIT (https://github.com/twbs/rfs/blob/main/LICENSE)\n\n// Configuration\n\n// Base value\n$rfs-base-value: 1.25rem !default;\n$rfs-unit: rem !default;\n\n@if $rfs-unit != rem and $rfs-unit != px {\n  @error \"`#{$rfs-unit}` is not a valid unit for $rfs-unit. Use `px` or `rem`.\";\n}\n\n// Breakpoint at where values start decreasing if screen width is smaller\n$rfs-breakpoint: 1200px !default;\n$rfs-breakpoint-unit: px !default;\n\n@if $rfs-breakpoint-unit != px and $rfs-breakpoint-unit != em and $rfs-breakpoint-unit != rem {\n  @error \"`#{$rfs-breakpoint-unit}` is not a valid unit for $rfs-breakpoint-unit. Use `px`, `em` or `rem`.\";\n}\n\n// Resize values based on screen height and width\n$rfs-two-dimensional: false !default;\n\n// Factor of decrease\n$rfs-factor: 10 !default;\n\n@if type-of($rfs-factor) != number or $rfs-factor <= 1 {\n  @error \"`#{$rfs-factor}` is not a valid  $rfs-factor, it must be greater than 1.\";\n}\n\n// Mode. Possibilities: \"min-media-query\", \"max-media-query\"\n$rfs-mode: min-media-query !default;\n\n// Generate enable or disable classes. Possibilities: false, \"enable\" or \"disable\"\n$rfs-class: false !default;\n\n// 1 rem = $rfs-rem-value px\n$rfs-rem-value: 16 !default;\n\n// Safari iframe resize bug: https://github.com/twbs/rfs/issues/14\n$rfs-safari-iframe-resize-bug-fix: false !default;\n\n// Disable RFS by setting $enable-rfs to false\n$enable-rfs: true !default;\n\n// Cache $rfs-base-value unit\n$rfs-base-value-unit: unit($rfs-base-value);\n\n@function divide($dividend, $divisor, $precision: 10) {\n  $sign: if($dividend > 0 and $divisor > 0 or $dividend < 0 and $divisor < 0, 1, -1);\n  $dividend: abs($dividend);\n  $divisor: abs($divisor);\n  @if $dividend == 0 {\n    @return 0;\n  }\n  @if $divisor == 0 {\n    @error \"Cannot divide by 0\";\n  }\n  $remainder: $dividend;\n  $result: 0;\n  $factor: 10;\n  @while ($remainder > 0 and $precision >= 0) {\n    $quotient: 0;\n    @while ($remainder >= $divisor) {\n      $remainder: $remainder - $divisor;\n      $quotient: $quotient + 1;\n    }\n    $result: $result * 10 + $quotient;\n    $factor: $factor * .1;\n    $remainder: $remainder * 10;\n    $precision: $precision - 1;\n    @if ($precision < 0 and $remainder >= $divisor * 5) {\n      $result: $result + 1;\n    }\n  }\n  $result: $result * $factor * $sign;\n  $dividend-unit: unit($dividend);\n  $divisor-unit: unit($divisor);\n  $unit-map: (\n    \"px\": 1px,\n    \"rem\": 1rem,\n    \"em\": 1em,\n    \"%\": 1%\n  );\n  @if ($dividend-unit != $divisor-unit and map-has-key($unit-map, $dividend-unit)) {\n    $result: $result * map-get($unit-map, $dividend-unit);\n  }\n  @return $result;\n}\n\n// Remove px-unit from $rfs-base-value for calculations\n@if $rfs-base-value-unit == px {\n  $rfs-base-value: divide($rfs-base-value, $rfs-base-value * 0 + 1);\n}\n@else if $rfs-base-value-unit == rem {\n  $rfs-base-value: divide($rfs-base-value, divide($rfs-base-value * 0 + 1, $rfs-rem-value));\n}\n\n// Cache $rfs-breakpoint unit to prevent multiple calls\n$rfs-breakpoint-unit-cache: unit($rfs-breakpoint);\n\n// Remove unit from $rfs-breakpoint for calculations\n@if $rfs-breakpoint-unit-cache == px {\n  $rfs-breakpoint: divide($rfs-breakpoint, $rfs-breakpoint * 0 + 1);\n}\n@else if $rfs-breakpoint-unit-cache == rem or $rfs-breakpoint-unit-cache == \"em\" {\n  $rfs-breakpoint: divide($rfs-breakpoint, divide($rfs-breakpoint * 0 + 1, $rfs-rem-value));\n}\n\n// Calculate the media query value\n$rfs-mq-value: if($rfs-breakpoint-unit == px, #{$rfs-breakpoint}px, #{divide($rfs-breakpoint, $rfs-rem-value)}#{$rfs-breakpoint-unit});\n$rfs-mq-property-width: if($rfs-mode == max-media-query, max-width, min-width);\n$rfs-mq-property-height: if($rfs-mode == max-media-query, max-height, min-height);\n\n// Internal mixin used to determine which media query needs to be used\n@mixin _rfs-media-query {\n  @if $rfs-two-dimensional {\n    @if $rfs-mode == max-media-query {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}), (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n    @else {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) and (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n  }\n  @else {\n    @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) {\n      @content;\n    }\n  }\n}\n\n// Internal mixin that adds disable classes to the selector if needed.\n@mixin _rfs-rule {\n  @if $rfs-class == disable and $rfs-mode == max-media-query {\n    // Adding an extra class increases specificity, which prevents the media query to override the property\n    &,\n    .disable-rfs &,\n    &.disable-rfs {\n      @content;\n    }\n  }\n  @else if $rfs-class == enable and $rfs-mode == min-media-query {\n    .enable-rfs &,\n    &.enable-rfs {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Internal mixin that adds enable classes to the selector if needed.\n@mixin _rfs-media-query-rule {\n\n  @if $rfs-class == enable {\n    @if $rfs-mode == min-media-query {\n      @content;\n    }\n\n    @include _rfs-media-query () {\n      .enable-rfs &,\n      &.enable-rfs {\n        @content;\n      }\n    }\n  }\n  @else {\n    @if $rfs-class == disable and $rfs-mode == min-media-query {\n      .disable-rfs &,\n      &.disable-rfs {\n        @content;\n      }\n    }\n    @include _rfs-media-query () {\n      @content;\n    }\n  }\n}\n\n// Helper function to get the formatted non-responsive value\n@function rfs-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    }\n    @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      @if $unit == px {\n        // Convert to rem if needed\n        $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $value * 0 + $rfs-rem-value)}rem, $value);\n      }\n      @else if $unit == rem {\n        // Convert to px if needed\n        $val: $val + \" \" + if($rfs-unit == px, #{divide($value, $value * 0 + 1) * $rfs-rem-value}px, $value);\n      } @else {\n        // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n        $val: $val + \" \" + $value;\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// Helper function to get the responsive value calculated by RFS\n@function rfs-fluid-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    } @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n      @if not $unit or $unit != px and $unit != rem {\n        $val: $val + \" \" + $value;\n      } @else {\n        // Remove unit from $value for calculations\n        $value: divide($value, $value * 0 + if($unit == px, 1, divide(1, $rfs-rem-value)));\n\n        // Only add the media query if the value is greater than the minimum value\n        @if abs($value) <= $rfs-base-value or not $enable-rfs {\n          $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $rfs-rem-value)}rem, #{$value}px);\n        }\n        @else {\n          // Calculate the minimum value\n          $value-min: $rfs-base-value + divide(abs($value) - $rfs-base-value, $rfs-factor);\n\n          // Calculate difference between $value and the minimum value\n          $value-diff: abs($value) - $value-min;\n\n          // Base value formatting\n          $min-width: if($rfs-unit == rem, #{divide($value-min, $rfs-rem-value)}rem, #{$value-min}px);\n\n          // Use negative value if needed\n          $min-width: if($value < 0, -$min-width, $min-width);\n\n          // Use `vmin` if two-dimensional is enabled\n          $variable-unit: if($rfs-two-dimensional, vmin, vw);\n\n          // Calculate the variable width between 0 and $rfs-breakpoint\n          $variable-width: #{divide($value-diff * 100, $rfs-breakpoint)}#{$variable-unit};\n\n          // Return the calculated value\n          $val: $val + \" calc(\" + $min-width + if($value < 0, \" - \", \" + \") + $variable-width + \")\";\n        }\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// RFS mixin\n@mixin rfs($values, $property: font-size) {\n  @if $values != null {\n    $val: rfs-value($values);\n    $fluid-val: rfs-fluid-value($values);\n\n    // Do not print the media query if responsive & non-responsive values are the same\n    @if $val == $fluid-val {\n      #{$property}: $val;\n    }\n    @else {\n      @include _rfs-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $val, $fluid-val);\n\n        // Include safari iframe resize fix if needed\n        min-width: if($rfs-safari-iframe-resize-bug-fix, (0 * 1vw), null);\n      }\n\n      @include _rfs-media-query-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $fluid-val, $val);\n      }\n    }\n  }\n}\n\n// Shorthand helper mixins\n@mixin font-size($value) {\n  @include rfs($value);\n}\n\n@mixin padding($value) {\n  @include rfs($value, padding);\n}\n\n@mixin padding-top($value) {\n  @include rfs($value, padding-top);\n}\n\n@mixin padding-right($value) {\n  @include rfs($value, padding-right);\n}\n\n@mixin padding-bottom($value) {\n  @include rfs($value, padding-bottom);\n}\n\n@mixin padding-left($value) {\n  @include rfs($value, padding-left);\n}\n\n@mixin margin($value) {\n  @include rfs($value, margin);\n}\n\n@mixin margin-top($value) {\n  @include rfs($value, margin-top);\n}\n\n@mixin margin-right($value) {\n  @include rfs($value, margin-right);\n}\n\n@mixin margin-bottom($value) {\n  @include rfs($value, margin-bottom);\n}\n\n@mixin margin-left($value) {\n  @include rfs($value, margin-left);\n}\n","// scss-docs-start color-mode-mixin\n@mixin color-mode($mode: light, $root: false) {\n  @if $color-mode-type == \"media-query\" {\n    @if $root == true {\n      @media (prefers-color-scheme: $mode) {\n        :root {\n          @content;\n        }\n      }\n    } @else {\n      @media (prefers-color-scheme: $mode) {\n        @content;\n      }\n    }\n  } @else {\n    [data-bs-theme=\"#{$mode}\"] {\n      @content;\n    }\n  }\n}\n// scss-docs-end color-mode-mixin\n","// stylelint-disable declaration-no-important, selector-no-qualifying-type, property-no-vendor-prefix\n\n\n// Reboot\n//\n// Normalization of HTML elements, manually forked from Normalize.css to remove\n// styles targeting irrelevant browsers while applying new styles.\n//\n// Normalize is licensed MIT. https://github.com/necolas/normalize.css\n\n\n// Document\n//\n// Change from `box-sizing: content-box` so that `width` is not affected by `padding` or `border`.\n\n*,\n*::before,\n*::after {\n  box-sizing: border-box;\n}\n\n\n// Root\n//\n// Ability to the value of the root font sizes, affecting the value of `rem`.\n// null by default, thus nothing is generated.\n\n:root {\n  @if $font-size-root != null {\n    @include font-size(var(--#{$prefix}root-font-size));\n  }\n\n  @if $enable-smooth-scroll {\n    @media (prefers-reduced-motion: no-preference) {\n      scroll-behavior: smooth;\n    }\n  }\n}\n\n\n// Body\n//\n// 1. Remove the margin in all browsers.\n// 2. As a best practice, apply a default `background-color`.\n// 3. Prevent adjustments of font size after orientation changes in iOS.\n// 4. Change the default tap highlight to be completely transparent in iOS.\n\n// scss-docs-start reboot-body-rules\nbody {\n  margin: 0; // 1\n  font-family: var(--#{$prefix}body-font-family);\n  @include font-size(var(--#{$prefix}body-font-size));\n  font-weight: var(--#{$prefix}body-font-weight);\n  line-height: var(--#{$prefix}body-line-height);\n  color: var(--#{$prefix}body-color);\n  text-align: var(--#{$prefix}body-text-align);\n  background-color: var(--#{$prefix}body-bg); // 2\n  -webkit-text-size-adjust: 100%; // 3\n  -webkit-tap-highlight-color: rgba($black, 0); // 4\n}\n// scss-docs-end reboot-body-rules\n\n\n// Content grouping\n//\n// 1. Reset Firefox's gray color\n\nhr {\n  margin: $hr-margin-y 0;\n  color: $hr-color; // 1\n  border: 0;\n  border-top: $hr-border-width solid $hr-border-color;\n  opacity: $hr-opacity;\n}\n\n\n// Typography\n//\n// 1. Remove top margins from headings\n//    By default, `<h1>`-`<h6>` all receive top and bottom margins. We nuke the top\n//    margin for easier control within type scales as it avoids margin collapsing.\n\n%heading {\n  margin-top: 0; // 1\n  margin-bottom: $headings-margin-bottom;\n  font-family: $headings-font-family;\n  font-style: $headings-font-style;\n  font-weight: $headings-font-weight;\n  line-height: $headings-line-height;\n  color: var(--#{$prefix}heading-color);\n}\n\nh1 {\n  @extend %heading;\n  @include font-size($h1-font-size);\n}\n\nh2 {\n  @extend %heading;\n  @include font-size($h2-font-size);\n}\n\nh3 {\n  @extend %heading;\n  @include font-size($h3-font-size);\n}\n\nh4 {\n  @extend %heading;\n  @include font-size($h4-font-size);\n}\n\nh5 {\n  @extend %heading;\n  @include font-size($h5-font-size);\n}\n\nh6 {\n  @extend %heading;\n  @include font-size($h6-font-size);\n}\n\n\n// Reset margins on paragraphs\n//\n// Similarly, the top margin on `<p>`s get reset. However, we also reset the\n// bottom margin to use `rem` units instead of `em`.\n\np {\n  margin-top: 0;\n  margin-bottom: $paragraph-margin-bottom;\n}\n\n\n// Abbreviations\n//\n// 1. Add the correct text decoration in Chrome, Edge, Opera, and Safari.\n// 2. Add explicit cursor to indicate changed behavior.\n// 3. Prevent the text-decoration to be skipped.\n\nabbr[title] {\n  text-decoration: underline dotted; // 1\n  cursor: help; // 2\n  text-decoration-skip-ink: none; // 3\n}\n\n\n// Address\n\naddress {\n  margin-bottom: 1rem;\n  font-style: normal;\n  line-height: inherit;\n}\n\n\n// Lists\n\nol,\nul {\n  padding-left: 2rem;\n}\n\nol,\nul,\ndl {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\nol ol,\nul ul,\nol ul,\nul ol {\n  margin-bottom: 0;\n}\n\ndt {\n  font-weight: $dt-font-weight;\n}\n\n// 1. Undo browser default\n\ndd {\n  margin-bottom: .5rem;\n  margin-left: 0; // 1\n}\n\n\n// Blockquote\n\nblockquote {\n  margin: 0 0 1rem;\n}\n\n\n// Strong\n//\n// Add the correct font weight in Chrome, Edge, and Safari\n\nb,\nstrong {\n  font-weight: $font-weight-bolder;\n}\n\n\n// Small\n//\n// Add the correct font size in all browsers\n\nsmall {\n  @include font-size($small-font-size);\n}\n\n\n// Mark\n\nmark {\n  padding: $mark-padding;\n  color: var(--#{$prefix}highlight-color);\n  background-color: var(--#{$prefix}highlight-bg);\n}\n\n\n// Sub and Sup\n//\n// Prevent `sub` and `sup` elements from affecting the line height in\n// all browsers.\n\nsub,\nsup {\n  position: relative;\n  @include font-size($sub-sup-font-size);\n  line-height: 0;\n  vertical-align: baseline;\n}\n\nsub { bottom: -.25em; }\nsup { top: -.5em; }\n\n\n// Links\n\na {\n  color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, 1));\n  text-decoration: $link-decoration;\n\n  &:hover {\n    --#{$prefix}link-color-rgb: var(--#{$prefix}link-hover-color-rgb);\n    text-decoration: $link-hover-decoration;\n  }\n}\n\n// And undo these styles for placeholder links/named anchors (without href).\n// It would be more straightforward to just use a[href] in previous block, but that\n// causes specificity issues in many other styles that are too complex to fix.\n// See https://github.com/twbs/bootstrap/issues/19402\n\na:not([href]):not([class]) {\n  &,\n  &:hover {\n    color: inherit;\n    text-decoration: none;\n  }\n}\n\n\n// Code\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: $font-family-code;\n  @include font-size(1em); // Correct the odd `em` font sizing in all browsers.\n}\n\n// 1. Remove browser default top margin\n// 2. Reset browser default of `1em` to use `rem`s\n// 3. Don't allow content to break outside\n\npre {\n  display: block;\n  margin-top: 0; // 1\n  margin-bottom: 1rem; // 2\n  overflow: auto; // 3\n  @include font-size($code-font-size);\n  color: $pre-color;\n\n  // Account for some code outputs that place code tags in pre tags\n  code {\n    @include font-size(inherit);\n    color: inherit;\n    word-break: normal;\n  }\n}\n\ncode {\n  @include font-size($code-font-size);\n  color: var(--#{$prefix}code-color);\n  word-wrap: break-word;\n\n  // Streamline the style when inside anchors to avoid broken underline and more\n  a > & {\n    color: inherit;\n  }\n}\n\nkbd {\n  padding: $kbd-padding-y $kbd-padding-x;\n  @include font-size($kbd-font-size);\n  color: $kbd-color;\n  background-color: $kbd-bg;\n  @include border-radius($border-radius-sm);\n\n  kbd {\n    padding: 0;\n    @include font-size(1em);\n    font-weight: $nested-kbd-font-weight;\n  }\n}\n\n\n// Figures\n//\n// Apply a consistent margin strategy (matches our type styles).\n\nfigure {\n  margin: 0 0 1rem;\n}\n\n\n// Images and content\n\nimg,\nsvg {\n  vertical-align: middle;\n}\n\n\n// Tables\n//\n// Prevent double borders\n\ntable {\n  caption-side: bottom;\n  border-collapse: collapse;\n}\n\ncaption {\n  padding-top: $table-cell-padding-y;\n  padding-bottom: $table-cell-padding-y;\n  color: $table-caption-color;\n  text-align: left;\n}\n\n// 1. Removes font-weight bold by inheriting\n// 2. Matches default `<td>` alignment by inheriting `text-align`.\n// 3. Fix alignment for Safari\n\nth {\n  font-weight: $table-th-font-weight; // 1\n  text-align: inherit; // 2\n  text-align: -webkit-match-parent; // 3\n}\n\nthead,\ntbody,\ntfoot,\ntr,\ntd,\nth {\n  border-color: inherit;\n  border-style: solid;\n  border-width: 0;\n}\n\n\n// Forms\n//\n// 1. Allow labels to use `margin` for spacing.\n\nlabel {\n  display: inline-block; // 1\n}\n\n// Remove the default `border-radius` that macOS Chrome adds.\n// See https://github.com/twbs/bootstrap/issues/24093\n\nbutton {\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 0;\n}\n\n// Explicitly remove focus outline in Chromium when it shouldn't be\n// visible (e.g. as result of mouse click or touch tap). It already\n// should be doing this automatically, but seems to currently be\n// confused and applies its very visible two-tone outline anyway.\n\nbutton:focus:not(:focus-visible) {\n  outline: 0;\n}\n\n// 1. Remove the margin in Firefox and Safari\n\ninput,\nbutton,\nselect,\noptgroup,\ntextarea {\n  margin: 0; // 1\n  font-family: inherit;\n  @include font-size(inherit);\n  line-height: inherit;\n}\n\n// Remove the inheritance of text transform in Firefox\nbutton,\nselect {\n  text-transform: none;\n}\n// Set the cursor for non-`<button>` buttons\n//\n// Details at https://github.com/twbs/bootstrap/pull/30562\n[role=\"button\"] {\n  cursor: pointer;\n}\n\nselect {\n  // Remove the inheritance of word-wrap in Safari.\n  // See https://github.com/twbs/bootstrap/issues/24990\n  word-wrap: normal;\n\n  // Undo the opacity change from Chrome\n  &:disabled {\n    opacity: 1;\n  }\n}\n\n// Remove the dropdown arrow only from text type inputs built with datalists in Chrome.\n// See https://stackoverflow.com/a/54997118\n\n[list]:not([type=\"date\"]):not([type=\"datetime-local\"]):not([type=\"month\"]):not([type=\"week\"]):not([type=\"time\"])::-webkit-calendar-picker-indicator {\n  display: none !important;\n}\n\n// 1. Prevent a WebKit bug where (2) destroys native `audio` and `video`\n//    controls in Android 4.\n// 2. Correct the inability to style clickable types in iOS and Safari.\n// 3. Opinionated: add \"hand\" cursor to non-disabled button elements.\n\nbutton,\n[type=\"button\"], // 1\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button; // 2\n\n  @if $enable-button-pointers {\n    &:not(:disabled) {\n      cursor: pointer; // 3\n    }\n  }\n}\n\n// Remove inner border and padding from Firefox, but don't restore the outline like Normalize.\n\n::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n}\n\n// 1. Textareas should really only resize vertically so they don't break their (horizontal) containers.\n\ntextarea {\n  resize: vertical; // 1\n}\n\n// 1. Browsers set a default `min-width: min-content;` on fieldsets,\n//    unlike e.g. `<div>`s, which have `min-width: 0;` by default.\n//    So we reset that to ensure fieldsets behave more like a standard block element.\n//    See https://github.com/twbs/bootstrap/issues/12359\n//    and https://html.spec.whatwg.org/multipage/#the-fieldset-and-legend-elements\n// 2. Reset the default outline behavior of fieldsets so they don't affect page layout.\n\nfieldset {\n  min-width: 0; // 1\n  padding: 0; // 2\n  margin: 0; // 2\n  border: 0; // 2\n}\n\n// 1. By using `float: left`, the legend will behave like a block element.\n//    This way the border of a fieldset wraps around the legend if present.\n// 2. Fix wrapping bug.\n//    See https://github.com/twbs/bootstrap/issues/29712\n\nlegend {\n  float: left; // 1\n  width: 100%;\n  padding: 0;\n  margin-bottom: $legend-margin-bottom;\n  @include font-size($legend-font-size);\n  font-weight: $legend-font-weight;\n  line-height: inherit;\n\n  + * {\n    clear: left; // 2\n  }\n}\n\n// Fix height of inputs with a type of datetime-local, date, month, week, or time\n// See https://github.com/twbs/bootstrap/issues/18842\n\n::-webkit-datetime-edit-fields-wrapper,\n::-webkit-datetime-edit-text,\n::-webkit-datetime-edit-minute,\n::-webkit-datetime-edit-hour-field,\n::-webkit-datetime-edit-day-field,\n::-webkit-datetime-edit-month-field,\n::-webkit-datetime-edit-year-field {\n  padding: 0;\n}\n\n::-webkit-inner-spin-button {\n  height: auto;\n}\n\n// 1. This overrides the extra rounded corners on search inputs in iOS so that our\n//    `.form-control` class can properly style them. Note that this cannot simply\n//    be added to `.form-control` as it's not specific enough. For details, see\n//    https://github.com/twbs/bootstrap/issues/11586.\n// 2. Correct the outline style in Safari.\n\n[type=\"search\"] {\n  -webkit-appearance: textfield; // 1\n  outline-offset: -2px; // 2\n}\n\n// 1. A few input types should stay LTR\n// See https://rtlstyling.com/posts/rtl-styling#form-inputs\n// 2. RTL only output\n// See https://rtlcss.com/learn/usage-guide/control-directives/#raw\n\n/* rtl:raw:\n[type=\"tel\"],\n[type=\"url\"],\n[type=\"email\"],\n[type=\"number\"] {\n  direction: ltr;\n}\n*/\n\n// Remove the inner padding in Chrome and Safari on macOS.\n\n::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n// Remove padding around color pickers in webkit browsers\n\n::-webkit-color-swatch-wrapper {\n  padding: 0;\n}\n\n\n// 1. Inherit font family and line height for file input buttons\n// 2. Correct the inability to style clickable types in iOS and Safari.\n\n::file-selector-button {\n  font: inherit; // 1\n  -webkit-appearance: button; // 2\n}\n\n// Correct element displays\n\noutput {\n  display: inline-block;\n}\n\n// Remove border from iframe\n\niframe {\n  border: 0;\n}\n\n// Summary\n//\n// 1. Add the correct display in all browsers\n\nsummary {\n  display: list-item; // 1\n  cursor: pointer;\n}\n\n\n// Progress\n//\n// Add the correct vertical alignment in Chrome, Firefox, and Opera.\n\nprogress {\n  vertical-align: baseline;\n}\n\n\n// Hidden attribute\n//\n// Always hide an element with the `hidden` HTML attribute.\n\n[hidden] {\n  display: none !important;\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n// fusv-disable\n$accordion-button-focus-border-color:     $input-focus-border-color !default; // Deprecated in v5.3.3\n// fusv-enable\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='#{$accordion-icon-color}' stroke-linecap='round' stroke-linejoin='round'><path d='M2 5L8 11L14 5'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='#{$accordion-icon-active-color}' stroke-linecap='round' stroke-linejoin='round'><path d='M2 5L8 11L14 5'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n\n@import \"variables-dark\"; // TODO: can be removed safely in v6, only here to avoid breaking changes in v5.3\n","// stylelint-disable property-disallowed-list\n// Single side border-radius\n\n// Helper function to replace negative values with 0\n@function valid-radius($radius) {\n  $return: ();\n  @each $value in $radius {\n    @if type-of($value) == number {\n      $return: append($return, max($value, 0));\n    } @else {\n      $return: append($return, $value);\n    }\n  }\n  @return $return;\n}\n\n// scss-docs-start border-radius-mixins\n@mixin border-radius($radius: $border-radius, $fallback-border-radius: false) {\n  @if $enable-rounded {\n    border-radius: valid-radius($radius);\n  }\n  @else if $fallback-border-radius != false {\n    border-radius: $fallback-border-radius;\n  }\n}\n\n@mixin border-top-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n// scss-docs-end border-radius-mixins\n","// Lists\n\n// Unstyled keeps list items block level, just removes default browser padding and list-style\n@mixin list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n","// Override bootstrap variables\n$spacer: 1rem;\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1400px,\n);\n$grid-breakpoints: (\n  xs: 0,\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1200px,\n);\n$dropdown-link-hover-bg: var(--pst-color-surface);\n\n// --pst-color-surface can also be assigned to the dark variant because it is\n// scoped to different values depending on light/dark theme\n$dropdown-dark-link-hover-bg: var(--pst-color-surface);\n$dropdown-link-active-bg: var(--pst-color-surface);\n$dropdown-dark-link-active-bg: var(--pst-color-surface);\n$focus-ring-width: 0.1875rem; // 3px at 100% zoom (0.1875 * 16px base font = 3px)\n$focus-ring-opacity: 1;\n$focus-ring-color: var(--pst-color-accent);\n$focus-ring-blur: 0;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color;\n\n// For many elements, we do not use `outline-offset`. For some we set the offset\n// equal to the focus ring width (either outwards or inwards). But for some\n// other elements (e.g., collapsible admonitions) we set it to this value.\n$focus-ring-offset: 0.125rem; // 2px at 100% zoom (0.125 * 16px base font = 2px)\n\n// outline creates the same style of focus ring, it just uses CSS outline instead of box shadow\n$focus-ring-outline: $focus-ring-color solid $focus-ring-width;\n$btn-focus-box-shadow: $focus-ring-box-shadow;\n","// Responsive images (ensure images don't scale beyond their parents)\n//\n// This is purposefully opt-in via an explicit class rather than being the default for all `<img>`s.\n// We previously tried the \"images are responsive by default\" approach in Bootstrap v2,\n// and abandoned it in Bootstrap v3 because it breaks lots of third-party widgets (including Google Maps)\n// which weren't expecting the images within themselves to be involuntarily resized.\n// See also https://github.com/twbs/bootstrap/issues/18178\n.img-fluid {\n  @include img-fluid();\n}\n\n\n// Image thumbnails\n.img-thumbnail {\n  padding: $thumbnail-padding;\n  background-color: $thumbnail-bg;\n  border: $thumbnail-border-width solid $thumbnail-border-color;\n  @include border-radius($thumbnail-border-radius);\n  @include box-shadow($thumbnail-box-shadow);\n\n  // Keep them at most 100% wide\n  @include img-fluid();\n}\n\n//\n// Figures\n//\n\n.figure {\n  // Ensures the caption's text aligns with the image.\n  display: inline-block;\n}\n\n.figure-img {\n  margin-bottom: $spacer * .5;\n  line-height: 1;\n}\n\n.figure-caption {\n  @include font-size($figure-caption-font-size);\n  color: $figure-caption-color;\n}\n","// Image Mixins\n// - Responsive image\n// - Retina image\n\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n\n@mixin img-fluid {\n  // Part 1: Set a maximum relative to the parent\n  max-width: 100%;\n  // Part 2: Override the height to auto, otherwise images will be stretched\n  // when setting a width and height attribute on the img element.\n  height: auto;\n}\n","// Container widths\n//\n// Set the container width, and override it for fixed navbars in media queries.\n\n@if $enable-container-classes {\n  // Single container class with breakpoint max-widths\n  .container,\n  // 100% wide container at all breakpoints\n  .container-fluid {\n    @include make-container();\n  }\n\n  // Responsive containers that are 100% wide until a breakpoint\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    .container-#{$breakpoint} {\n      @extend .container-fluid;\n    }\n\n    @include media-breakpoint-up($breakpoint, $grid-breakpoints) {\n      %responsive-container-#{$breakpoint} {\n        max-width: $container-max-width;\n      }\n\n      // Extend each breakpoint which is smaller or equal to the current breakpoint\n      $extend-breakpoint: true;\n\n      @each $name, $width in $grid-breakpoints {\n        @if ($extend-breakpoint) {\n          .container#{breakpoint-infix($name, $grid-breakpoints)} {\n            @extend %responsive-container-#{$breakpoint};\n          }\n\n          // Once the current breakpoint is reached, stop extending\n          @if ($breakpoint == $name) {\n            $extend-breakpoint: false;\n          }\n        }\n      }\n    }\n  }\n}\n","// Container mixins\n\n@mixin make-container($gutter: $container-padding-x) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  width: 100%;\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-right: auto;\n  margin-left: auto;\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n","// Row\n//\n// Rows contain your columns.\n\n:root {\n  @each $name, $value in $grid-breakpoints {\n    --#{$prefix}breakpoint-#{$name}: #{$value};\n  }\n}\n\n@if $enable-grid-classes {\n  .row {\n    @include make-row();\n\n    > * {\n      @include make-col-ready();\n    }\n  }\n}\n\n@if $enable-cssgrid {\n  .grid {\n    display: grid;\n    grid-template-rows: repeat(var(--#{$prefix}rows, 1), 1fr);\n    grid-template-columns: repeat(var(--#{$prefix}columns, #{$grid-columns}), 1fr);\n    gap: var(--#{$prefix}gap, #{$grid-gutter-width});\n\n    @include make-cssgrid();\n  }\n}\n\n\n// Columns\n//\n// Common styles for small and large grid columns\n\n@if $enable-grid-classes {\n  @include make-grid-columns();\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is an invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Basic Bootstrap table\n//\n\n.table {\n  // Reset needed for nesting tables\n  --#{$prefix}table-color-type: initial;\n  --#{$prefix}table-bg-type: initial;\n  --#{$prefix}table-color-state: initial;\n  --#{$prefix}table-bg-state: initial;\n  // End of reset\n  --#{$prefix}table-color: #{$table-color};\n  --#{$prefix}table-bg: #{$table-bg};\n  --#{$prefix}table-border-color: #{$table-border-color};\n  --#{$prefix}table-accent-bg: #{$table-accent-bg};\n  --#{$prefix}table-striped-color: #{$table-striped-color};\n  --#{$prefix}table-striped-bg: #{$table-striped-bg};\n  --#{$prefix}table-active-color: #{$table-active-color};\n  --#{$prefix}table-active-bg: #{$table-active-bg};\n  --#{$prefix}table-hover-color: #{$table-hover-color};\n  --#{$prefix}table-hover-bg: #{$table-hover-bg};\n\n  width: 100%;\n  margin-bottom: $spacer;\n  vertical-align: $table-cell-vertical-align;\n  border-color: var(--#{$prefix}table-border-color);\n\n  // Target th & td\n  // We need the child combinator to prevent styles leaking to nested tables which doesn't have a `.table` class.\n  // We use the universal selectors here to simplify the selector (else we would need 6 different selectors).\n  // Another advantage is that this generates less code and makes the selector less specific making it easier to override.\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y $table-cell-padding-x;\n    // Following the precept of cascades: https://codepen.io/miriamsuzanne/full/vYNgodb\n    color: var(--#{$prefix}table-color-state, var(--#{$prefix}table-color-type, var(--#{$prefix}table-color)));\n    background-color: var(--#{$prefix}table-bg);\n    border-bottom-width: $table-border-width;\n    box-shadow: inset 0 0 0 9999px var(--#{$prefix}table-bg-state, var(--#{$prefix}table-bg-type, var(--#{$prefix}table-accent-bg)));\n  }\n\n  > tbody {\n    vertical-align: inherit;\n  }\n\n  > thead {\n    vertical-align: bottom;\n  }\n}\n\n.table-group-divider {\n  border-top: calc(#{$table-border-width} * 2) solid $table-group-separator-color; // stylelint-disable-line function-disallowed-list\n}\n\n//\n// Change placement of captions with a class\n//\n\n.caption-top {\n  caption-side: top;\n}\n\n\n//\n// Condensed table w/ half padding\n//\n\n.table-sm {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y-sm $table-cell-padding-x-sm;\n  }\n}\n\n\n// Border versions\n//\n// Add or remove borders all around the table and between all the columns.\n//\n// When borders are added on all sides of the cells, the corners can render odd when\n// these borders do not have the same color or if they are semi-transparent.\n// Therefore we add top and border bottoms to the `tr`s and left and right borders\n// to the `td`s or `th`s\n\n.table-bordered {\n  > :not(caption) > * {\n    border-width: $table-border-width 0;\n\n    // stylelint-disable-next-line selector-max-universal\n    > * {\n      border-width: 0 $table-border-width;\n    }\n  }\n}\n\n.table-borderless {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    border-bottom-width: 0;\n  }\n\n  > :not(:first-child) {\n    border-top-width: 0;\n  }\n}\n\n// Zebra-striping\n//\n// Default zebra-stripe styles (alternating gray and transparent backgrounds)\n\n// For rows\n.table-striped {\n  > tbody > tr:nth-of-type(#{$table-striped-order}) > * {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// For columns\n.table-striped-columns {\n  > :not(caption) > tr > :nth-child(#{$table-striped-columns-order}) {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// Active table\n//\n// The `.table-active` class can be added to highlight rows or cells\n\n.table-active {\n  --#{$prefix}table-color-state: var(--#{$prefix}table-active-color);\n  --#{$prefix}table-bg-state: var(--#{$prefix}table-active-bg);\n}\n\n// Hover effect\n//\n// Placed here since it has to come after the potential zebra striping\n\n.table-hover {\n  > tbody > tr:hover > * {\n    --#{$prefix}table-color-state: var(--#{$prefix}table-hover-color);\n    --#{$prefix}table-bg-state: var(--#{$prefix}table-hover-bg);\n  }\n}\n\n\n// Table variants\n//\n// Table variants set the table cell backgrounds, border colors\n// and the colors of the striped, hovered & active tables\n\n@each $color, $value in $table-variants {\n  @include table-variant($color, $value);\n}\n\n// Responsive tables\n//\n// Generate series of `.table-responsive-*` classes for configuring the screen\n// size of where your table will overflow.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n  @include media-breakpoint-down($breakpoint) {\n    .table-responsive#{$infix} {\n      overflow-x: auto;\n      -webkit-overflow-scrolling: touch;\n    }\n  }\n}\n","// scss-docs-start table-variant\n@mixin table-variant($state, $background) {\n  .table-#{$state} {\n    $color: color-contrast(opaque($body-bg, $background));\n    $hover-bg: mix($color, $background, percentage($table-hover-bg-factor));\n    $striped-bg: mix($color, $background, percentage($table-striped-bg-factor));\n    $active-bg: mix($color, $background, percentage($table-active-bg-factor));\n    $table-border-color: mix($color, $background, percentage($table-border-factor));\n\n    --#{$prefix}table-color: #{$color};\n    --#{$prefix}table-bg: #{$background};\n    --#{$prefix}table-border-color: #{$table-border-color};\n    --#{$prefix}table-striped-bg: #{$striped-bg};\n    --#{$prefix}table-striped-color: #{color-contrast($striped-bg)};\n    --#{$prefix}table-active-bg: #{$active-bg};\n    --#{$prefix}table-active-color: #{color-contrast($active-bg)};\n    --#{$prefix}table-hover-bg: #{$hover-bg};\n    --#{$prefix}table-hover-color: #{color-contrast($hover-bg)};\n\n    color: var(--#{$prefix}table-color);\n    border-color: var(--#{$prefix}table-border-color);\n  }\n}\n// scss-docs-end table-variant\n","//\n// Labels\n//\n\n.form-label {\n  margin-bottom: $form-label-margin-bottom;\n  @include font-size($form-label-font-size);\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  color: $form-label-color;\n}\n\n// For use with horizontal and inline forms, when you need the label (or legend)\n// text to align with the form controls.\n.col-form-label {\n  padding-top: add($input-padding-y, $input-border-width);\n  padding-bottom: add($input-padding-y, $input-border-width);\n  margin-bottom: 0; // Override the `<legend>` default\n  @include font-size(inherit); // Override the `<legend>` default\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  line-height: $input-line-height;\n  color: $form-label-color;\n}\n\n.col-form-label-lg {\n  padding-top: add($input-padding-y-lg, $input-border-width);\n  padding-bottom: add($input-padding-y-lg, $input-border-width);\n  @include font-size($input-font-size-lg);\n}\n\n.col-form-label-sm {\n  padding-top: add($input-padding-y-sm, $input-border-width);\n  padding-bottom: add($input-padding-y-sm, $input-border-width);\n  @include font-size($input-font-size-sm);\n}\n","//\n// Form text\n//\n\n.form-text {\n  margin-top: $form-text-margin-top;\n  @include font-size($form-text-font-size);\n  font-style: $form-text-font-style;\n  font-weight: $form-text-font-weight;\n  color: $form-text-color;\n}\n","//\n// General form controls (plus a few specific high-level interventions)\n//\n\n.form-control {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y $input-padding-x;\n  font-family: $input-font-family;\n  @include font-size($input-font-size);\n  font-weight: $input-font-weight;\n  line-height: $input-line-height;\n  color: $input-color;\n  appearance: none; // Fix appearance for date inputs in Safari\n  background-color: $input-bg;\n  background-clip: padding-box;\n  border: $input-border-width solid $input-border-color;\n\n  // Note: This has no effect on <select>s in some browsers, due to the limited stylability of `<select>`s in CSS.\n  @include border-radius($input-border-radius, 0);\n\n  @include box-shadow($input-box-shadow);\n  @include transition($input-transition);\n\n  &[type=\"file\"] {\n    overflow: hidden; // prevent pseudo element button overlap\n\n    &:not(:disabled):not([readonly]) {\n      cursor: pointer;\n    }\n  }\n\n  // Customize the `:focus` state to imitate native WebKit styles.\n  &:focus {\n    color: $input-focus-color;\n    background-color: $input-focus-bg;\n    border-color: $input-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($input-box-shadow, $input-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $input-focus-box-shadow;\n    }\n  }\n\n  &::-webkit-date-and-time-value {\n    // On Android Chrome, form-control's \"width: 100%\" makes the input width too small\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    //\n    // On iOS Safari, form-control's \"appearance: none\" + \"width: 100%\" makes the input width too small\n    // Tested under iOS 16.2 / Safari 16.2\n    min-width: 85px; // Seems to be a good minimum safe width\n\n    // Add some height to date inputs on iOS\n    // https://github.com/twbs/bootstrap/issues/23307\n    // TODO: we can remove this workaround once https://bugs.webkit.org/show_bug.cgi?id=198959 is resolved\n    // Multiply line-height by 1em if it has no unit\n    height: if(unit($input-line-height) == \"\", $input-line-height * 1em, $input-line-height);\n\n    // Android Chrome type=\"date\" is taller than the other inputs\n    // because of \"margin: 1px 24px 1px 4px\" inside the shadow DOM\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    margin: 0;\n  }\n\n  // Prevent excessive date input height in Webkit\n  // https://github.com/twbs/bootstrap/issues/34433\n  &::-webkit-datetime-edit {\n    display: block;\n    padding: 0;\n  }\n\n  // Placeholder\n  &::placeholder {\n    color: $input-placeholder-color;\n    // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526.\n    opacity: 1;\n  }\n\n  // Disabled inputs\n  //\n  // HTML5 says that controls under a fieldset > legend:first-child won't be\n  // disabled if the fieldset is disabled. Due to implementation difficulty, we\n  // don't honor that edge case; we style them as disabled anyway.\n  &:disabled {\n    color: $input-disabled-color;\n    background-color: $input-disabled-bg;\n    border-color: $input-disabled-border-color;\n    // iOS fix for unreadable disabled content; see https://github.com/twbs/bootstrap/issues/11655.\n    opacity: 1;\n  }\n\n  // File input buttons theming\n  &::file-selector-button {\n    padding: $input-padding-y $input-padding-x;\n    margin: (-$input-padding-y) (-$input-padding-x);\n    margin-inline-end: $input-padding-x;\n    color: $form-file-button-color;\n    @include gradient-bg($form-file-button-bg);\n    pointer-events: none;\n    border-color: inherit;\n    border-style: solid;\n    border-width: 0;\n    border-inline-end-width: $input-border-width;\n    border-radius: 0; // stylelint-disable-line property-disallowed-list\n    @include transition($btn-transition);\n  }\n\n  &:hover:not(:disabled):not([readonly])::file-selector-button {\n    background-color: $form-file-button-hover-bg;\n  }\n}\n\n// Readonly controls as plain text\n//\n// Apply class to a readonly input to make it appear like regular plain\n// text (without any border, background color, focus indicator)\n\n.form-control-plaintext {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y 0;\n  margin-bottom: 0; // match inputs if this class comes on inputs with default margins\n  line-height: $input-line-height;\n  color: $input-plaintext-color;\n  background-color: transparent;\n  border: solid transparent;\n  border-width: $input-border-width 0;\n\n  &:focus {\n    outline: 0;\n  }\n\n  &.form-control-sm,\n  &.form-control-lg {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n\n// Form control sizing\n//\n// Build on `.form-control` with modifier classes to decrease or increase the\n// height and font-size of form controls.\n//\n// Repeated in `_input_group.scss` to avoid Sass extend issues.\n\n.form-control-sm {\n  min-height: $input-height-sm;\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n\n  &::file-selector-button {\n    padding: $input-padding-y-sm $input-padding-x-sm;\n    margin: (-$input-padding-y-sm) (-$input-padding-x-sm);\n    margin-inline-end: $input-padding-x-sm;\n  }\n}\n\n.form-control-lg {\n  min-height: $input-height-lg;\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n\n  &::file-selector-button {\n    padding: $input-padding-y-lg $input-padding-x-lg;\n    margin: (-$input-padding-y-lg) (-$input-padding-x-lg);\n    margin-inline-end: $input-padding-x-lg;\n  }\n}\n\n// Make sure textareas don't shrink too much when resized\n// https://github.com/twbs/bootstrap/pull/29124\n// stylelint-disable selector-no-qualifying-type\ntextarea {\n  &.form-control {\n    min-height: $input-height;\n  }\n\n  &.form-control-sm {\n    min-height: $input-height-sm;\n  }\n\n  &.form-control-lg {\n    min-height: $input-height-lg;\n  }\n}\n// stylelint-enable selector-no-qualifying-type\n\n.form-control-color {\n  width: $form-color-width;\n  height: $input-height;\n  padding: $input-padding-y;\n\n  &:not(:disabled):not([readonly]) {\n    cursor: pointer;\n  }\n\n  &::-moz-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &::-webkit-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &.form-control-sm { height: $input-height-sm; }\n  &.form-control-lg { height: $input-height-lg; }\n}\n","// stylelint-disable property-disallowed-list\n@mixin transition($transition...) {\n  @if length($transition) == 0 {\n    $transition: $transition-base;\n  }\n\n  @if length($transition) > 1 {\n    @each $value in $transition {\n      @if $value == null or $value == none {\n        @warn \"The keyword 'none' or 'null' must be used as a single argument.\";\n      }\n    }\n  }\n\n  @if $enable-transitions {\n    @if nth($transition, 1) != null {\n      transition: $transition;\n    }\n\n    @if $enable-reduced-motion and nth($transition, 1) != null and nth($transition, 1) != none {\n      @media (prefers-reduced-motion: reduce) {\n        transition: none;\n      }\n    }\n  }\n}\n","// Gradients\n\n// scss-docs-start gradient-bg-mixin\n@mixin gradient-bg($color: null) {\n  background-color: $color;\n\n  @if $enable-gradients {\n    background-image: var(--#{$prefix}gradient);\n  }\n}\n// scss-docs-end gradient-bg-mixin\n\n// scss-docs-start gradient-mixins\n// Horizontal gradient, from left to right\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-x($start-color: $gray-700, $end-color: $gray-800, $start-percent: 0%, $end-percent: 100%) {\n  background-image: linear-gradient(to right, $start-color $start-percent, $end-color $end-percent);\n}\n\n// Vertical gradient, from top to bottom\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-y($start-color: $gray-700, $end-color: $gray-800, $start-percent: null, $end-percent: null) {\n  background-image: linear-gradient(to bottom, $start-color $start-percent, $end-color $end-percent);\n}\n\n@mixin gradient-directional($start-color: $gray-700, $end-color: $gray-800, $deg: 45deg) {\n  background-image: linear-gradient($deg, $start-color, $end-color);\n}\n\n@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-radial($inner-color: $gray-700, $outer-color: $gray-800) {\n  background-image: radial-gradient(circle, $inner-color, $outer-color);\n}\n\n@mixin gradient-striped($color: rgba($white, .15), $angle: 45deg) {\n  background-image: linear-gradient($angle, $color 25%, transparent 25%, transparent 50%, $color 50%, $color 75%, transparent 75%, transparent);\n}\n// scss-docs-end gradient-mixins\n","// Select\n//\n// Replaces the browser default select with a custom one, mostly pulled from\n// https://primer.github.io/.\n\n.form-select {\n  --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator)};\n\n  display: block;\n  width: 100%;\n  padding: $form-select-padding-y $form-select-indicator-padding $form-select-padding-y $form-select-padding-x;\n  font-family: $form-select-font-family;\n  @include font-size($form-select-font-size);\n  font-weight: $form-select-font-weight;\n  line-height: $form-select-line-height;\n  color: $form-select-color;\n  appearance: none;\n  background-color: $form-select-bg;\n  background-image: var(--#{$prefix}form-select-bg-img), var(--#{$prefix}form-select-bg-icon, none);\n  background-repeat: no-repeat;\n  background-position: $form-select-bg-position;\n  background-size: $form-select-bg-size;\n  border: $form-select-border-width solid $form-select-border-color;\n  @include border-radius($form-select-border-radius, 0);\n  @include box-shadow($form-select-box-shadow);\n  @include transition($form-select-transition);\n\n  &:focus {\n    border-color: $form-select-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($form-select-box-shadow, $form-select-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $form-select-focus-box-shadow;\n    }\n  }\n\n  &[multiple],\n  &[size]:not([size=\"1\"]) {\n    padding-right: $form-select-padding-x;\n    background-image: none;\n  }\n\n  &:disabled {\n    color: $form-select-disabled-color;\n    background-color: $form-select-disabled-bg;\n    border-color: $form-select-disabled-border-color;\n  }\n\n  // Remove outline from select box in FF\n  &:-moz-focusring {\n    color: transparent;\n    text-shadow: 0 0 0 $form-select-color;\n  }\n}\n\n.form-select-sm {\n  padding-top: $form-select-padding-y-sm;\n  padding-bottom: $form-select-padding-y-sm;\n  padding-left: $form-select-padding-x-sm;\n  @include font-size($form-select-font-size-sm);\n  @include border-radius($form-select-border-radius-sm);\n}\n\n.form-select-lg {\n  padding-top: $form-select-padding-y-lg;\n  padding-bottom: $form-select-padding-y-lg;\n  padding-left: $form-select-padding-x-lg;\n  @include font-size($form-select-font-size-lg);\n  @include border-radius($form-select-border-radius-lg);\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-select {\n      --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator-dark)};\n    }\n  }\n}\n","//\n// Check/radio\n//\n\n.form-check {\n  display: block;\n  min-height: $form-check-min-height;\n  padding-left: $form-check-padding-start;\n  margin-bottom: $form-check-margin-bottom;\n\n  .form-check-input {\n    float: left;\n    margin-left: $form-check-padding-start * -1;\n  }\n}\n\n.form-check-reverse {\n  padding-right: $form-check-padding-start;\n  padding-left: 0;\n  text-align: right;\n\n  .form-check-input {\n    float: right;\n    margin-right: $form-check-padding-start * -1;\n    margin-left: 0;\n  }\n}\n\n.form-check-input {\n  --#{$prefix}form-check-bg: #{$form-check-input-bg};\n\n  flex-shrink: 0;\n  width: $form-check-input-width;\n  height: $form-check-input-width;\n  margin-top: ($line-height-base - $form-check-input-width) * .5; // line-height minus check height\n  vertical-align: top;\n  appearance: none;\n  background-color: var(--#{$prefix}form-check-bg);\n  background-image: var(--#{$prefix}form-check-bg-image);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: contain;\n  border: $form-check-input-border;\n  print-color-adjust: exact; // Keep themed appearance for print\n  @include transition($form-check-transition);\n\n  &[type=\"checkbox\"] {\n    @include border-radius($form-check-input-border-radius);\n  }\n\n  &[type=\"radio\"] {\n    // stylelint-disable-next-line property-disallowed-list\n    border-radius: $form-check-radio-border-radius;\n  }\n\n  &:active {\n    filter: $form-check-input-active-filter;\n  }\n\n  &:focus {\n    border-color: $form-check-input-focus-border;\n    outline: 0;\n    box-shadow: $form-check-input-focus-box-shadow;\n  }\n\n  &:checked {\n    background-color: $form-check-input-checked-bg-color;\n    border-color: $form-check-input-checked-border-color;\n\n    &[type=\"checkbox\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)};\n      }\n    }\n\n    &[type=\"radio\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)};\n      }\n    }\n  }\n\n  &[type=\"checkbox\"]:indeterminate {\n    background-color: $form-check-input-indeterminate-bg-color;\n    border-color: $form-check-input-indeterminate-border-color;\n\n    @if $enable-gradients {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)}, var(--#{$prefix}gradient);\n    } @else {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)};\n    }\n  }\n\n  &:disabled {\n    pointer-events: none;\n    filter: none;\n    opacity: $form-check-input-disabled-opacity;\n  }\n\n  // Use disabled attribute in addition of :disabled pseudo-class\n  // See: https://github.com/twbs/bootstrap/issues/28247\n  &[disabled],\n  &:disabled {\n    ~ .form-check-label {\n      cursor: default;\n      opacity: $form-check-label-disabled-opacity;\n    }\n  }\n}\n\n.form-check-label {\n  color: $form-check-label-color;\n  cursor: $form-check-label-cursor;\n}\n\n//\n// Switch\n//\n\n.form-switch {\n  padding-left: $form-switch-padding-start;\n\n  .form-check-input {\n    --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image)};\n\n    width: $form-switch-width;\n    margin-left: $form-switch-padding-start * -1;\n    background-image: var(--#{$prefix}form-switch-bg);\n    background-position: left center;\n    @include border-radius($form-switch-border-radius, 0);\n    @include transition($form-switch-transition);\n\n    &:focus {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-focus-bg-image)};\n    }\n\n    &:checked {\n      background-position: $form-switch-checked-bg-position;\n\n      @if $enable-gradients {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)};\n      }\n    }\n  }\n\n  &.form-check-reverse {\n    padding-right: $form-switch-padding-start;\n    padding-left: 0;\n\n    .form-check-input {\n      margin-right: $form-switch-padding-start * -1;\n      margin-left: 0;\n    }\n  }\n}\n\n.form-check-inline {\n  display: inline-block;\n  margin-right: $form-check-inline-margin-end;\n}\n\n.btn-check {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n\n  &[disabled],\n  &:disabled {\n    + .btn {\n      pointer-events: none;\n      filter: none;\n      opacity: $form-check-btn-check-disabled-opacity;\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-switch .form-check-input:not(:checked):not(:focus) {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image-dark)};\n    }\n  }\n}\n","// Range\n//\n// Style range inputs the same across browsers. Vendor-specific rules for pseudo\n// elements cannot be mixed. As such, there are no shared styles for focus or\n// active states on prefixed selectors.\n\n.form-range {\n  width: 100%;\n  height: add($form-range-thumb-height, $form-range-thumb-focus-box-shadow-width * 2);\n  padding: 0; // Need to reset padding\n  appearance: none;\n  background-color: transparent;\n\n  &:focus {\n    outline: 0;\n\n    // Pseudo-elements must be split across multiple rulesets to have an effect.\n    // No box-shadow() mixin for focus accessibility.\n    &::-webkit-slider-thumb { box-shadow: $form-range-thumb-focus-box-shadow; }\n    &::-moz-range-thumb     { box-shadow: $form-range-thumb-focus-box-shadow; }\n  }\n\n  &::-moz-focus-outer {\n    border: 0;\n  }\n\n  &::-webkit-slider-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    margin-top: ($form-range-track-height - $form-range-thumb-height) * .5; // Webkit specific\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-webkit-slider-runnable-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent; // Why?\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent;\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &::-moz-range-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-moz-range-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent;\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent; // Firefox specific?\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &:disabled {\n    pointer-events: none;\n\n    &::-webkit-slider-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n\n    &::-moz-range-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n  }\n}\n",".form-floating {\n  position: relative;\n\n  > .form-control,\n  > .form-control-plaintext,\n  > .form-select {\n    height: $form-floating-height;\n    min-height: $form-floating-height;\n    line-height: $form-floating-line-height;\n  }\n\n  > label {\n    position: absolute;\n    top: 0;\n    left: 0;\n    z-index: 2;\n    height: 100%; // allow textareas\n    padding: $form-floating-padding-y $form-floating-padding-x;\n    overflow: hidden;\n    text-align: start;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n    pointer-events: none;\n    border: $input-border-width solid transparent; // Required for aligning label's text with the input as it affects inner box model\n    transform-origin: 0 0;\n    @include transition($form-floating-transition);\n  }\n\n  > .form-control,\n  > .form-control-plaintext {\n    padding: $form-floating-padding-y $form-floating-padding-x;\n\n    &::placeholder {\n      color: transparent;\n    }\n\n    &:focus,\n    &:not(:placeholder-shown) {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n    // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n    &:-webkit-autofill {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n  }\n\n  > .form-select {\n    padding-top: $form-floating-input-padding-t;\n    padding-bottom: $form-floating-input-padding-b;\n  }\n\n  > .form-control:focus,\n  > .form-control:not(:placeholder-shown),\n  > .form-control-plaintext,\n  > .form-select {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n\n      &::after {\n        position: absolute;\n        inset: $form-floating-padding-y ($form-floating-padding-x * .5);\n        z-index: -1;\n        height: $form-floating-label-height;\n        content: \"\";\n        background-color: $input-bg;\n        @include border-radius($input-border-radius);\n      }\n    }\n  }\n  // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n  > .form-control:-webkit-autofill {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n    }\n  }\n\n  > .form-control-plaintext {\n    ~ label {\n      border-width: $input-border-width 0; // Required to properly position label text - as explained above\n    }\n  }\n\n  > :disabled ~ label,\n  > .form-control:disabled ~ label { // Required for `.form-control`s because of specificity\n    color: $form-floating-label-disabled-color;\n\n    &::after {\n      background-color: $input-disabled-bg;\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.input-group {\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // For form validation feedback\n  align-items: stretch;\n  width: 100%;\n\n  > .form-control,\n  > .form-select,\n  > .form-floating {\n    position: relative; // For focus state's z-index\n    flex: 1 1 auto;\n    width: 1%;\n    min-width: 0; // https://stackoverflow.com/questions/36247140/why-dont-flex-items-shrink-past-content-size\n  }\n\n  // Bring the \"active\" form control to the top of surrounding elements\n  > .form-control:focus,\n  > .form-select:focus,\n  > .form-floating:focus-within {\n    z-index: 5;\n  }\n\n  // Ensure buttons are always above inputs for more visually pleasing borders.\n  // This isn't needed for `.input-group-text` since it shares the same border-color\n  // as our inputs.\n  .btn {\n    position: relative;\n    z-index: 2;\n\n    &:focus {\n      z-index: 5;\n    }\n  }\n}\n\n\n// Textual addons\n//\n// Serves as a catch-all element for any text or radio/checkbox input you wish\n// to prepend or append to an input.\n\n.input-group-text {\n  display: flex;\n  align-items: center;\n  padding: $input-group-addon-padding-y $input-group-addon-padding-x;\n  @include font-size($input-font-size); // Match inputs\n  font-weight: $input-group-addon-font-weight;\n  line-height: $input-line-height;\n  color: $input-group-addon-color;\n  text-align: center;\n  white-space: nowrap;\n  background-color: $input-group-addon-bg;\n  border: $input-border-width solid $input-group-addon-border-color;\n  @include border-radius($input-border-radius);\n}\n\n\n// Sizing\n//\n// Remix the default form control sizing classes into new ones for easier\n// manipulation.\n\n.input-group-lg > .form-control,\n.input-group-lg > .form-select,\n.input-group-lg > .input-group-text,\n.input-group-lg > .btn {\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n}\n\n.input-group-sm > .form-control,\n.input-group-sm > .form-select,\n.input-group-sm > .input-group-text,\n.input-group-sm > .btn {\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n}\n\n.input-group-lg > .form-select,\n.input-group-sm > .form-select {\n  padding-right: $form-select-padding-x + $form-select-indicator-padding;\n}\n\n\n// Rounded corners\n//\n// These rulesets must come after the sizing ones to properly override sm and lg\n// border-radius values when extending. They're more specific than we'd like\n// with the `.input-group >` part, but without it, we cannot override the sizing.\n\n// stylelint-disable-next-line no-duplicate-selectors\n.input-group {\n  &:not(.has-validation) {\n    > :not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 3),\n    > .form-floating:not(:last-child) > .form-control,\n    > .form-floating:not(:last-child) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  &.has-validation {\n    > :nth-last-child(n + 3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 4),\n    > .form-floating:nth-last-child(n + 3) > .form-control,\n    > .form-floating:nth-last-child(n + 3) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  $validation-messages: \"\";\n  @each $state in map-keys($form-validation-states) {\n    $validation-messages: $validation-messages + \":not(.\" + unquote($state) + \"-tooltip)\" + \":not(.\" + unquote($state) + \"-feedback)\";\n  }\n\n  > :not(:first-child):not(.dropdown-menu)#{$validation-messages} {\n    margin-left: calc(#{$input-border-width} * -1); // stylelint-disable-line function-disallowed-list\n    @include border-start-radius(0);\n  }\n\n  > .form-floating:not(:first-child) > .form-control,\n  > .form-floating:not(:first-child) > .form-select {\n    @include border-start-radius(0);\n  }\n}\n","// This mixin uses an `if()` technique to be compatible with Dart Sass\n// See https://github.com/sass/sass/issues/1873#issuecomment-152293725 for more details\n\n// scss-docs-start form-validation-mixins\n@mixin form-validation-state-selector($state) {\n  @if ($state == \"valid\" or $state == \"invalid\") {\n    .was-validated #{if(&, \"&\", \"\")}:#{$state},\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  } @else {\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  }\n}\n\n@mixin form-validation-state(\n  $state,\n  $color,\n  $icon,\n  $tooltip-color: color-contrast($color),\n  $tooltip-bg-color: rgba($color, $form-feedback-tooltip-opacity),\n  $focus-box-shadow: 0 0 $input-btn-focus-blur $input-focus-width rgba($color, $input-btn-focus-color-opacity),\n  $border-color: $color\n) {\n  .#{$state}-feedback {\n    display: none;\n    width: 100%;\n    margin-top: $form-feedback-margin-top;\n    @include font-size($form-feedback-font-size);\n    font-style: $form-feedback-font-style;\n    color: $color;\n  }\n\n  .#{$state}-tooltip {\n    position: absolute;\n    top: 100%;\n    z-index: 5;\n    display: none;\n    max-width: 100%; // Contain to parent when possible\n    padding: $form-feedback-tooltip-padding-y $form-feedback-tooltip-padding-x;\n    margin-top: .1rem;\n    @include font-size($form-feedback-tooltip-font-size);\n    line-height: $form-feedback-tooltip-line-height;\n    color: $tooltip-color;\n    background-color: $tooltip-bg-color;\n    @include border-radius($form-feedback-tooltip-border-radius);\n  }\n\n  @include form-validation-state-selector($state) {\n    ~ .#{$state}-feedback,\n    ~ .#{$state}-tooltip {\n      display: block;\n    }\n  }\n\n  .form-control {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-image: escape-svg($icon);\n        background-repeat: no-repeat;\n        background-position: right $input-height-inner-quarter center;\n        background-size: $input-height-inner-half $input-height-inner-half;\n      }\n\n      &:focus {\n        border-color: $border-color;\n        @if $enable-shadows {\n          @include box-shadow($input-box-shadow, $focus-box-shadow);\n        } @else {\n          // Avoid using mixin so we can pass custom focus shadow properly\n          box-shadow: $focus-box-shadow;\n        }\n      }\n    }\n  }\n\n  // stylelint-disable-next-line selector-no-qualifying-type\n  textarea.form-control {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-position: top $input-height-inner-quarter right $input-height-inner-quarter;\n      }\n    }\n  }\n\n  .form-select {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        &:not([multiple]):not([size]),\n        &:not([multiple])[size=\"1\"] {\n          --#{$prefix}form-select-bg-icon: #{escape-svg($icon)};\n          padding-right: $form-select-feedback-icon-padding-end;\n          background-position: $form-select-bg-position, $form-select-feedback-icon-position;\n          background-size: $form-select-bg-size, $form-select-feedback-icon-size;\n        }\n      }\n\n      &:focus {\n        border-color: $border-color;\n        @if $enable-shadows {\n          @include box-shadow($form-select-box-shadow, $focus-box-shadow);\n        } @else {\n          // Avoid using mixin so we can pass custom focus shadow properly\n          box-shadow: $focus-box-shadow;\n        }\n      }\n    }\n  }\n\n  .form-control-color {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        width: add($form-color-width, $input-height-inner);\n      }\n    }\n  }\n\n  .form-check-input {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      &:checked {\n        background-color: $color;\n      }\n\n      &:focus {\n        box-shadow: $focus-box-shadow;\n      }\n\n      ~ .form-check-label {\n        color: $color;\n      }\n    }\n  }\n  .form-check-inline .form-check-input {\n    ~ .#{$state}-feedback {\n      margin-left: .5em;\n    }\n  }\n\n  .input-group {\n    > .form-control:not(:focus),\n    > .form-select:not(:focus),\n    > .form-floating:not(:focus-within) {\n      @include form-validation-state-selector($state) {\n        @if $state == \"valid\" {\n          z-index: 3;\n        } @else if $state == \"invalid\" {\n          z-index: 4;\n        }\n      }\n    }\n  }\n}\n// scss-docs-end form-validation-mixins\n","//\n// Base styles\n//\n\n.btn {\n  // scss-docs-start btn-css-vars\n  --#{$prefix}btn-padding-x: #{$btn-padding-x};\n  --#{$prefix}btn-padding-y: #{$btn-padding-y};\n  --#{$prefix}btn-font-family: #{$btn-font-family};\n  @include rfs($btn-font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-font-weight: #{$btn-font-weight};\n  --#{$prefix}btn-line-height: #{$btn-line-height};\n  --#{$prefix}btn-color: #{$btn-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-width: #{$btn-border-width};\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-border-radius: #{$btn-border-radius};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-box-shadow: #{$btn-box-shadow};\n  --#{$prefix}btn-disabled-opacity: #{$btn-disabled-opacity};\n  --#{$prefix}btn-focus-box-shadow: 0 0 0 #{$btn-focus-width} rgba(var(--#{$prefix}btn-focus-shadow-rgb), .5);\n  // scss-docs-end btn-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}btn-padding-y) var(--#{$prefix}btn-padding-x);\n  font-family: var(--#{$prefix}btn-font-family);\n  @include font-size(var(--#{$prefix}btn-font-size));\n  font-weight: var(--#{$prefix}btn-font-weight);\n  line-height: var(--#{$prefix}btn-line-height);\n  color: var(--#{$prefix}btn-color);\n  text-align: center;\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: $btn-white-space;\n  vertical-align: middle;\n  cursor: if($enable-button-pointers, pointer, null);\n  user-select: none;\n  border: var(--#{$prefix}btn-border-width) solid var(--#{$prefix}btn-border-color);\n  @include border-radius(var(--#{$prefix}btn-border-radius));\n  @include gradient-bg(var(--#{$prefix}btn-bg));\n  @include box-shadow(var(--#{$prefix}btn-box-shadow));\n  @include transition($btn-transition);\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}btn-hover-bg);\n    border-color: var(--#{$prefix}btn-hover-border-color);\n  }\n\n  .btn-check + &:hover {\n    // override for the checkbox/radio buttons\n    color: var(--#{$prefix}btn-color);\n    background-color: var(--#{$prefix}btn-bg);\n    border-color: var(--#{$prefix}btn-border-color);\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-hover-color);\n    @include gradient-bg(var(--#{$prefix}btn-hover-bg));\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:focus-visible + & {\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:checked + &,\n  :not(.btn-check) + &:active,\n  &:first-child:active,\n  &.active,\n  &.show {\n    color: var(--#{$prefix}btn-active-color);\n    background-color: var(--#{$prefix}btn-active-bg);\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-active-border-color);\n    @include box-shadow(var(--#{$prefix}btn-active-shadow));\n\n    &:focus-visible {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      @if $enable-shadows {\n        box-shadow: var(--#{$prefix}btn-active-shadow), var(--#{$prefix}btn-focus-box-shadow);\n      } @else {\n        box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n      }\n    }\n  }\n\n  .btn-check:checked:focus-visible + & {\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-active-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  &:disabled,\n  &.disabled,\n  fieldset:disabled & {\n    color: var(--#{$prefix}btn-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}btn-disabled-bg);\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-disabled-border-color);\n    opacity: var(--#{$prefix}btn-disabled-opacity);\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Alternate buttons\n//\n\n// scss-docs-start btn-variant-loops\n@each $color, $value in $theme-colors {\n  .btn-#{$color} {\n    @if $color == \"light\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: shade-color($value, $btn-hover-bg-shade-amount),\n        $hover-border: shade-color($value, $btn-hover-border-shade-amount),\n        $active-background: shade-color($value, $btn-active-bg-shade-amount),\n        $active-border: shade-color($value, $btn-active-border-shade-amount)\n      );\n    } @else if $color == \"dark\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: tint-color($value, $btn-hover-bg-tint-amount),\n        $hover-border: tint-color($value, $btn-hover-border-tint-amount),\n        $active-background: tint-color($value, $btn-active-bg-tint-amount),\n        $active-border: tint-color($value, $btn-active-border-tint-amount)\n      );\n    } @else {\n      @include button-variant($value, $value);\n    }\n  }\n}\n\n@each $color, $value in $theme-colors {\n  .btn-outline-#{$color} {\n    @include button-outline-variant($value);\n  }\n}\n// scss-docs-end btn-variant-loops\n\n\n//\n// Link buttons\n//\n\n// Make a button look and behave like a link\n.btn-link {\n  --#{$prefix}btn-font-weight: #{$font-weight-normal};\n  --#{$prefix}btn-color: #{$btn-link-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-hover-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-active-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-active-border-color: transparent;\n  --#{$prefix}btn-disabled-color: #{$btn-link-disabled-color};\n  --#{$prefix}btn-disabled-border-color: transparent;\n  --#{$prefix}btn-box-shadow: 0 0 0 #000; // Can't use `none` as keyword negates all values when used with multiple shadows\n  --#{$prefix}btn-focus-shadow-rgb: #{$btn-link-focus-shadow-rgb};\n\n  text-decoration: $link-decoration;\n  @if $enable-gradients {\n    background-image: none;\n  }\n\n  &:hover,\n  &:focus-visible {\n    text-decoration: $link-hover-decoration;\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-color);\n  }\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n  }\n\n  // No need for an active state here\n}\n\n\n//\n// Button Sizes\n//\n\n.btn-lg {\n  @include button-size($btn-padding-y-lg, $btn-padding-x-lg, $btn-font-size-lg, $btn-border-radius-lg);\n}\n\n.btn-sm {\n  @include button-size($btn-padding-y-sm, $btn-padding-x-sm, $btn-font-size-sm, $btn-border-radius-sm);\n}\n","// Button variants\n//\n// Easily pump out default styles, as well as :hover, :focus, :active,\n// and disabled options for all buttons\n\n// scss-docs-start btn-variant-mixin\n@mixin button-variant(\n  $background,\n  $border,\n  $color: color-contrast($background),\n  $hover-background: if($color == $color-contrast-light, shade-color($background, $btn-hover-bg-shade-amount), tint-color($background, $btn-hover-bg-tint-amount)),\n  $hover-border: if($color == $color-contrast-light, shade-color($border, $btn-hover-border-shade-amount), tint-color($border, $btn-hover-border-tint-amount)),\n  $hover-color: color-contrast($hover-background),\n  $active-background: if($color == $color-contrast-light, shade-color($background, $btn-active-bg-shade-amount), tint-color($background, $btn-active-bg-tint-amount)),\n  $active-border: if($color == $color-contrast-light, shade-color($border, $btn-active-border-shade-amount), tint-color($border, $btn-active-border-tint-amount)),\n  $active-color: color-contrast($active-background),\n  $disabled-background: $background,\n  $disabled-border: $border,\n  $disabled-color: color-contrast($disabled-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-bg: #{$background};\n  --#{$prefix}btn-border-color: #{$border};\n  --#{$prefix}btn-hover-color: #{$hover-color};\n  --#{$prefix}btn-hover-bg: #{$hover-background};\n  --#{$prefix}btn-hover-border-color: #{$hover-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb(mix($color, $border, 15%))};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$disabled-color};\n  --#{$prefix}btn-disabled-bg: #{$disabled-background};\n  --#{$prefix}btn-disabled-border-color: #{$disabled-border};\n}\n// scss-docs-end btn-variant-mixin\n\n// scss-docs-start btn-outline-variant-mixin\n@mixin button-outline-variant(\n  $color,\n  $color-hover: color-contrast($color),\n  $active-background: $color,\n  $active-border: $color,\n  $active-color: color-contrast($active-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-border-color: #{$color};\n  --#{$prefix}btn-hover-color: #{$color-hover};\n  --#{$prefix}btn-hover-bg: #{$active-background};\n  --#{$prefix}btn-hover-border-color: #{$active-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb($color)};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$color};\n  --#{$prefix}btn-disabled-bg: transparent;\n  --#{$prefix}btn-disabled-border-color: #{$color};\n  --#{$prefix}gradient: none;\n}\n// scss-docs-end btn-outline-variant-mixin\n\n// scss-docs-start btn-size-mixin\n@mixin button-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}btn-padding-y: #{$padding-y};\n  --#{$prefix}btn-padding-x: #{$padding-x};\n  @include rfs($font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-border-radius: #{$border-radius};\n}\n// scss-docs-end btn-size-mixin\n",".fade {\n  @include transition($transition-fade);\n\n  &:not(.show) {\n    opacity: 0;\n  }\n}\n\n// scss-docs-start collapse-classes\n.collapse {\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.collapsing {\n  height: 0;\n  overflow: hidden;\n  @include transition($transition-collapse);\n\n  &.collapse-horizontal {\n    width: 0;\n    height: auto;\n    @include transition($transition-collapse-width);\n  }\n}\n// scss-docs-end collapse-classes\n","// The dropdown wrapper (`<div>`)\n.dropup,\n.dropend,\n.dropdown,\n.dropstart,\n.dropup-center,\n.dropdown-center {\n  position: relative;\n}\n\n.dropdown-toggle {\n  white-space: nowrap;\n\n  // Generate the caret automatically\n  @include caret();\n}\n\n// The dropdown menu\n.dropdown-menu {\n  // scss-docs-start dropdown-css-vars\n  --#{$prefix}dropdown-zindex: #{$zindex-dropdown};\n  --#{$prefix}dropdown-min-width: #{$dropdown-min-width};\n  --#{$prefix}dropdown-padding-x: #{$dropdown-padding-x};\n  --#{$prefix}dropdown-padding-y: #{$dropdown-padding-y};\n  --#{$prefix}dropdown-spacer: #{$dropdown-spacer};\n  @include rfs($dropdown-font-size, --#{$prefix}dropdown-font-size);\n  --#{$prefix}dropdown-color: #{$dropdown-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-border-color};\n  --#{$prefix}dropdown-border-radius: #{$dropdown-border-radius};\n  --#{$prefix}dropdown-border-width: #{$dropdown-border-width};\n  --#{$prefix}dropdown-inner-border-radius: #{$dropdown-inner-border-radius};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-divider-bg};\n  --#{$prefix}dropdown-divider-margin-y: #{$dropdown-divider-margin-y};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-link-hover-color};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-link-disabled-color};\n  --#{$prefix}dropdown-item-padding-x: #{$dropdown-item-padding-x};\n  --#{$prefix}dropdown-item-padding-y: #{$dropdown-item-padding-y};\n  --#{$prefix}dropdown-header-color: #{$dropdown-header-color};\n  --#{$prefix}dropdown-header-padding-x: #{$dropdown-header-padding-x};\n  --#{$prefix}dropdown-header-padding-y: #{$dropdown-header-padding-y};\n  // scss-docs-end dropdown-css-vars\n\n  position: absolute;\n  z-index: var(--#{$prefix}dropdown-zindex);\n  display: none; // none by default, but block on \"open\" of the menu\n  min-width: var(--#{$prefix}dropdown-min-width);\n  padding: var(--#{$prefix}dropdown-padding-y) var(--#{$prefix}dropdown-padding-x);\n  margin: 0; // Override default margin of ul\n  @include font-size(var(--#{$prefix}dropdown-font-size));\n  color: var(--#{$prefix}dropdown-color);\n  text-align: left; // Ensures proper alignment if parent has it changed (e.g., modal footer)\n  list-style: none;\n  background-color: var(--#{$prefix}dropdown-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}dropdown-border-width) solid var(--#{$prefix}dropdown-border-color);\n  @include border-radius(var(--#{$prefix}dropdown-border-radius));\n  @include box-shadow(var(--#{$prefix}dropdown-box-shadow));\n\n  &[data-bs-popper] {\n    top: 100%;\n    left: 0;\n    margin-top: var(--#{$prefix}dropdown-spacer);\n  }\n\n  @if $dropdown-padding-y == 0 {\n    > .dropdown-item:first-child,\n    > li:first-child .dropdown-item {\n      @include border-top-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n    > .dropdown-item:last-child,\n    > li:last-child .dropdown-item {\n      @include border-bottom-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n\n  }\n}\n\n// scss-docs-start responsive-breakpoints\n// We deliberately hardcode the `bs-` prefix because we check\n// this custom property in JS to determine Popper's positioning\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .dropdown-menu#{$infix}-start {\n      --bs-position: start;\n\n      &[data-bs-popper] {\n        right: auto;\n        left: 0;\n      }\n    }\n\n    .dropdown-menu#{$infix}-end {\n      --bs-position: end;\n\n      &[data-bs-popper] {\n        right: 0;\n        left: auto;\n      }\n    }\n  }\n}\n// scss-docs-end responsive-breakpoints\n\n// Allow for dropdowns to go bottom up (aka, dropup-menu)\n// Just add .dropup after the standard .dropdown class and you're set.\n.dropup {\n  .dropdown-menu[data-bs-popper] {\n    top: auto;\n    bottom: 100%;\n    margin-top: 0;\n    margin-bottom: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(up);\n  }\n}\n\n.dropend {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: auto;\n    left: 100%;\n    margin-top: 0;\n    margin-left: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(end);\n    &::after {\n      vertical-align: 0;\n    }\n  }\n}\n\n.dropstart {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: 100%;\n    left: auto;\n    margin-top: 0;\n    margin-right: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(start);\n    &::before {\n      vertical-align: 0;\n    }\n  }\n}\n\n\n// Dividers (basically an `<hr>`) within the dropdown\n.dropdown-divider {\n  height: 0;\n  margin: var(--#{$prefix}dropdown-divider-margin-y) 0;\n  overflow: hidden;\n  border-top: 1px solid var(--#{$prefix}dropdown-divider-bg);\n  opacity: 1; // Revisit in v6 to de-dupe styles that conflict with <hr> element\n}\n\n// Links, buttons, and more within the dropdown menu\n//\n// `<button>`-specific styles are denoted with `// For <button>s`\n.dropdown-item {\n  display: block;\n  width: 100%; // For `<button>`s\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  clear: both;\n  font-weight: $font-weight-normal;\n  color: var(--#{$prefix}dropdown-link-color);\n  text-align: inherit; // For `<button>`s\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap; // prevent links from randomly breaking onto new lines\n  background-color: transparent; // For `<button>`s\n  border: 0; // For `<button>`s\n  @include border-radius(var(--#{$prefix}dropdown-item-border-radius, 0));\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}dropdown-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    @include gradient-bg(var(--#{$prefix}dropdown-link-hover-bg));\n  }\n\n  &.active,\n  &:active {\n    color: var(--#{$prefix}dropdown-link-active-color);\n    text-decoration: none;\n    @include gradient-bg(var(--#{$prefix}dropdown-link-active-bg));\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}dropdown-link-disabled-color);\n    pointer-events: none;\n    background-color: transparent;\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n  }\n}\n\n.dropdown-menu.show {\n  display: block;\n}\n\n// Dropdown section headers\n.dropdown-header {\n  display: block;\n  padding: var(--#{$prefix}dropdown-header-padding-y) var(--#{$prefix}dropdown-header-padding-x);\n  margin-bottom: 0; // for use with heading elements\n  @include font-size($font-size-sm);\n  color: var(--#{$prefix}dropdown-header-color);\n  white-space: nowrap; // as with > li > a\n}\n\n// Dropdown text\n.dropdown-item-text {\n  display: block;\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  color: var(--#{$prefix}dropdown-link-color);\n}\n\n// Dark dropdowns\n.dropdown-menu-dark {\n  // scss-docs-start dropdown-dark-css-vars\n  --#{$prefix}dropdown-color: #{$dropdown-dark-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-dark-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-dark-border-color};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-dark-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-dark-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-dark-link-hover-color};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-dark-divider-bg};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-dark-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-dark-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-dark-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-dark-link-disabled-color};\n  --#{$prefix}dropdown-header-color: #{$dropdown-dark-header-color};\n  // scss-docs-end dropdown-dark-css-vars\n}\n","// scss-docs-start caret-mixins\n@mixin caret-down($width: $caret-width) {\n  border-top: $width solid;\n  border-right: $width solid transparent;\n  border-bottom: 0;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-up($width: $caret-width) {\n  border-top: 0;\n  border-right: $width solid transparent;\n  border-bottom: $width solid;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-end($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: 0;\n  border-bottom: $width solid transparent;\n  border-left: $width solid;\n}\n\n@mixin caret-start($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: $width solid;\n  border-bottom: $width solid transparent;\n}\n\n@mixin caret(\n  $direction: down,\n  $width: $caret-width,\n  $spacing: $caret-spacing,\n  $vertical-align: $caret-vertical-align\n) {\n  @if $enable-caret {\n    &::after {\n      display: inline-block;\n      margin-left: $spacing;\n      vertical-align: $vertical-align;\n      content: \"\";\n      @if $direction == down {\n        @include caret-down($width);\n      } @else if $direction == up {\n        @include caret-up($width);\n      } @else if $direction == end {\n        @include caret-end($width);\n      }\n    }\n\n    @if $direction == start {\n      &::after {\n        display: none;\n      }\n\n      &::before {\n        display: inline-block;\n        margin-right: $spacing;\n        vertical-align: $vertical-align;\n        content: \"\";\n        @include caret-start($width);\n      }\n    }\n\n    &:empty::after {\n      margin-left: 0;\n    }\n  }\n}\n// scss-docs-end caret-mixins\n","// Make the div behave like a button\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-flex;\n  vertical-align: middle; // match .btn alignment given font-size hack above\n\n  > .btn {\n    position: relative;\n    flex: 1 1 auto;\n  }\n\n  // Bring the hover, focused, and \"active\" buttons to the front to overlay\n  // the borders properly\n  > .btn-check:checked + .btn,\n  > .btn-check:focus + .btn,\n  > .btn:hover,\n  > .btn:focus,\n  > .btn:active,\n  > .btn.active {\n    z-index: 1;\n  }\n}\n\n// Optional: Group multiple button groups together for a toolbar\n.btn-toolbar {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: flex-start;\n\n  .input-group {\n    width: auto;\n  }\n}\n\n.btn-group {\n  @include border-radius($btn-border-radius);\n\n  // Prevent double borders when buttons are next to each other\n  > :not(.btn-check:first-child) + .btn,\n  > .btn-group:not(:first-child) {\n    margin-left: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn.dropdown-toggle-split:first-child,\n  > .btn-group:not(:last-child) > .btn {\n    @include border-end-radius(0);\n  }\n\n  // The left radius should be 0 if the button is:\n  // - the \"third or more\" child\n  // - the second child and the previous element isn't `.btn-check` (making it the first child visually)\n  // - part of a btn-group which isn't the first child\n  > .btn:nth-child(n + 3),\n  > :not(.btn-check) + .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-start-radius(0);\n  }\n}\n\n// Sizing\n//\n// Remix the default button sizing classes into new ones for easier manipulation.\n\n.btn-group-sm > .btn { @extend .btn-sm; }\n.btn-group-lg > .btn { @extend .btn-lg; }\n\n\n//\n// Split button dropdowns\n//\n\n.dropdown-toggle-split {\n  padding-right: $btn-padding-x * .75;\n  padding-left: $btn-padding-x * .75;\n\n  &::after,\n  .dropup &::after,\n  .dropend &::after {\n    margin-left: 0;\n  }\n\n  .dropstart &::before {\n    margin-right: 0;\n  }\n}\n\n.btn-sm + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-sm * .75;\n  padding-left: $btn-padding-x-sm * .75;\n}\n\n.btn-lg + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-lg * .75;\n  padding-left: $btn-padding-x-lg * .75;\n}\n\n\n// The clickable button for toggling the menu\n// Set the same inset shadow as the :active state\n.btn-group.show .dropdown-toggle {\n  @include box-shadow($btn-active-box-shadow);\n\n  // Show no shadow for `.btn-link` since it has no other button styles.\n  &.btn-link {\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Vertical button groups\n//\n\n.btn-group-vertical {\n  flex-direction: column;\n  align-items: flex-start;\n  justify-content: center;\n\n  > .btn,\n  > .btn-group {\n    width: 100%;\n  }\n\n  > .btn:not(:first-child),\n  > .btn-group:not(:first-child) {\n    margin-top: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn-group:not(:last-child) > .btn {\n    @include border-bottom-radius(0);\n  }\n\n  > .btn ~ .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-top-radius(0);\n  }\n}\n","// Base class\n//\n// Kickstart any navigation component with a set of style resets. Works with\n// `<nav>`s, `<ul>`s or `<ol>`s.\n\n.nav {\n  // scss-docs-start nav-css-vars\n  --#{$prefix}nav-link-padding-x: #{$nav-link-padding-x};\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: #{$nav-link-color};\n  --#{$prefix}nav-link-hover-color: #{$nav-link-hover-color};\n  --#{$prefix}nav-link-disabled-color: #{$nav-link-disabled-color};\n  // scss-docs-end nav-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n\n.nav-link {\n  display: block;\n  padding: var(--#{$prefix}nav-link-padding-y) var(--#{$prefix}nav-link-padding-x);\n  @include font-size(var(--#{$prefix}nav-link-font-size));\n  font-weight: var(--#{$prefix}nav-link-font-weight);\n  color: var(--#{$prefix}nav-link-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background: none;\n  border: 0;\n  @include transition($nav-link-transition);\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}nav-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  &:focus-visible {\n    outline: 0;\n    box-shadow: $nav-link-focus-box-shadow;\n  }\n\n  // Disabled state lightens text\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}nav-link-disabled-color);\n    pointer-events: none;\n    cursor: default;\n  }\n}\n\n//\n// Tabs\n//\n\n.nav-tabs {\n  // scss-docs-start nav-tabs-css-vars\n  --#{$prefix}nav-tabs-border-width: #{$nav-tabs-border-width};\n  --#{$prefix}nav-tabs-border-color: #{$nav-tabs-border-color};\n  --#{$prefix}nav-tabs-border-radius: #{$nav-tabs-border-radius};\n  --#{$prefix}nav-tabs-link-hover-border-color: #{$nav-tabs-link-hover-border-color};\n  --#{$prefix}nav-tabs-link-active-color: #{$nav-tabs-link-active-color};\n  --#{$prefix}nav-tabs-link-active-bg: #{$nav-tabs-link-active-bg};\n  --#{$prefix}nav-tabs-link-active-border-color: #{$nav-tabs-link-active-border-color};\n  // scss-docs-end nav-tabs-css-vars\n\n  border-bottom: var(--#{$prefix}nav-tabs-border-width) solid var(--#{$prefix}nav-tabs-border-color);\n\n  .nav-link {\n    margin-bottom: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    border: var(--#{$prefix}nav-tabs-border-width) solid transparent;\n    @include border-top-radius(var(--#{$prefix}nav-tabs-border-radius));\n\n    &:hover,\n    &:focus {\n      // Prevents active .nav-link tab overlapping focus outline of previous/next .nav-link\n      isolation: isolate;\n      border-color: var(--#{$prefix}nav-tabs-link-hover-border-color);\n    }\n  }\n\n  .nav-link.active,\n  .nav-item.show .nav-link {\n    color: var(--#{$prefix}nav-tabs-link-active-color);\n    background-color: var(--#{$prefix}nav-tabs-link-active-bg);\n    border-color: var(--#{$prefix}nav-tabs-link-active-border-color);\n  }\n\n  .dropdown-menu {\n    // Make dropdown border overlap tab border\n    margin-top: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    // Remove the top rounded corners here since there is a hard edge above the menu\n    @include border-top-radius(0);\n  }\n}\n\n\n//\n// Pills\n//\n\n.nav-pills {\n  // scss-docs-start nav-pills-css-vars\n  --#{$prefix}nav-pills-border-radius: #{$nav-pills-border-radius};\n  --#{$prefix}nav-pills-link-active-color: #{$nav-pills-link-active-color};\n  --#{$prefix}nav-pills-link-active-bg: #{$nav-pills-link-active-bg};\n  // scss-docs-end nav-pills-css-vars\n\n  .nav-link {\n    @include border-radius(var(--#{$prefix}nav-pills-border-radius));\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    color: var(--#{$prefix}nav-pills-link-active-color);\n    @include gradient-bg(var(--#{$prefix}nav-pills-link-active-bg));\n  }\n}\n\n\n//\n// Underline\n//\n\n.nav-underline {\n  // scss-docs-start nav-underline-css-vars\n  --#{$prefix}nav-underline-gap: #{$nav-underline-gap};\n  --#{$prefix}nav-underline-border-width: #{$nav-underline-border-width};\n  --#{$prefix}nav-underline-link-active-color: #{$nav-underline-link-active-color};\n  // scss-docs-end nav-underline-css-vars\n\n  gap: var(--#{$prefix}nav-underline-gap);\n\n  .nav-link {\n    padding-right: 0;\n    padding-left: 0;\n    border-bottom: var(--#{$prefix}nav-underline-border-width) solid transparent;\n\n    &:hover,\n    &:focus {\n      border-bottom-color: currentcolor;\n    }\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    font-weight: $font-weight-bold;\n    color: var(--#{$prefix}nav-underline-link-active-color);\n    border-bottom-color: currentcolor;\n  }\n}\n\n\n//\n// Justified variants\n//\n\n.nav-fill {\n  > .nav-link,\n  .nav-item {\n    flex: 1 1 auto;\n    text-align: center;\n  }\n}\n\n.nav-justified {\n  > .nav-link,\n  .nav-item {\n    flex-basis: 0;\n    flex-grow: 1;\n    text-align: center;\n  }\n}\n\n.nav-fill,\n.nav-justified {\n  .nav-item .nav-link {\n    width: 100%; // Make sure button will grow\n  }\n}\n\n\n// Tabbable tabs\n//\n// Hide tabbable panes to start, show them when `.active`\n\n.tab-content {\n  > .tab-pane {\n    display: none;\n  }\n  > .active {\n    display: block;\n  }\n}\n","// Navbar\n//\n// Provide a static navbar from which we expand to create full-width, fixed, and\n// other navbar variations.\n\n.navbar {\n  // scss-docs-start navbar-css-vars\n  --#{$prefix}navbar-padding-x: #{if($navbar-padding-x == null, 0, $navbar-padding-x)};\n  --#{$prefix}navbar-padding-y: #{$navbar-padding-y};\n  --#{$prefix}navbar-color: #{$navbar-light-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-light-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-light-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-light-active-color};\n  --#{$prefix}navbar-brand-padding-y: #{$navbar-brand-padding-y};\n  --#{$prefix}navbar-brand-margin-end: #{$navbar-brand-margin-end};\n  --#{$prefix}navbar-brand-font-size: #{$navbar-brand-font-size};\n  --#{$prefix}navbar-brand-color: #{$navbar-light-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-light-brand-hover-color};\n  --#{$prefix}navbar-nav-link-padding-x: #{$navbar-nav-link-padding-x};\n  --#{$prefix}navbar-toggler-padding-y: #{$navbar-toggler-padding-y};\n  --#{$prefix}navbar-toggler-padding-x: #{$navbar-toggler-padding-x};\n  --#{$prefix}navbar-toggler-font-size: #{$navbar-toggler-font-size};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-light-toggler-icon-bg)};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-light-toggler-border-color};\n  --#{$prefix}navbar-toggler-border-radius: #{$navbar-toggler-border-radius};\n  --#{$prefix}navbar-toggler-focus-width: #{$navbar-toggler-focus-width};\n  --#{$prefix}navbar-toggler-transition: #{$navbar-toggler-transition};\n  // scss-docs-end navbar-css-vars\n\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // allow us to do the line break for collapsing content\n  align-items: center;\n  justify-content: space-between; // space out brand from logo\n  padding: var(--#{$prefix}navbar-padding-y) var(--#{$prefix}navbar-padding-x);\n  @include gradient-bg();\n\n  // Because flex properties aren't inherited, we need to redeclare these first\n  // few properties so that content nested within behave properly.\n  // The `flex-wrap` property is inherited to simplify the expanded navbars\n  %container-flex-properties {\n    display: flex;\n    flex-wrap: inherit;\n    align-items: center;\n    justify-content: space-between;\n  }\n\n  > .container,\n  > .container-fluid {\n    @extend %container-flex-properties;\n  }\n\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    > .container#{breakpoint-infix($breakpoint, $container-max-widths)} {\n      @extend %container-flex-properties;\n    }\n  }\n}\n\n\n// Navbar brand\n//\n// Used for brand, project, or site names.\n\n.navbar-brand {\n  padding-top: var(--#{$prefix}navbar-brand-padding-y);\n  padding-bottom: var(--#{$prefix}navbar-brand-padding-y);\n  margin-right: var(--#{$prefix}navbar-brand-margin-end);\n  @include font-size(var(--#{$prefix}navbar-brand-font-size));\n  color: var(--#{$prefix}navbar-brand-color);\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap;\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}navbar-brand-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n}\n\n\n// Navbar nav\n//\n// Custom navbar navigation (doesn't require `.nav`, but does make use of `.nav-link`).\n\n.navbar-nav {\n  // scss-docs-start navbar-nav-css-vars\n  --#{$prefix}nav-link-padding-x: 0;\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: var(--#{$prefix}navbar-color);\n  --#{$prefix}nav-link-hover-color: var(--#{$prefix}navbar-hover-color);\n  --#{$prefix}nav-link-disabled-color: var(--#{$prefix}navbar-disabled-color);\n  // scss-docs-end navbar-nav-css-vars\n\n  display: flex;\n  flex-direction: column; // cannot use `inherit` to get the `.navbar`s value\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n\n  .nav-link {\n    &.active,\n    &.show {\n      color: var(--#{$prefix}navbar-active-color);\n    }\n  }\n\n  .dropdown-menu {\n    position: static;\n  }\n}\n\n\n// Navbar text\n//\n//\n\n.navbar-text {\n  padding-top: $nav-link-padding-y;\n  padding-bottom: $nav-link-padding-y;\n  color: var(--#{$prefix}navbar-color);\n\n  a,\n  a:hover,\n  a:focus  {\n    color: var(--#{$prefix}navbar-active-color);\n  }\n}\n\n\n// Responsive navbar\n//\n// Custom styles for responsive collapsing and toggling of navbar contents.\n// Powered by the collapse Bootstrap JavaScript plugin.\n\n// When collapsed, prevent the toggleable navbar contents from appearing in\n// the default flexbox row orientation. Requires the use of `flex-wrap: wrap`\n// on the `.navbar` parent.\n.navbar-collapse {\n  flex-basis: 100%;\n  flex-grow: 1;\n  // For always expanded or extra full navbars, ensure content aligns itself\n  // properly vertically. Can be easily overridden with flex utilities.\n  align-items: center;\n}\n\n// Button for toggling the navbar when in its collapsed state\n.navbar-toggler {\n  padding: var(--#{$prefix}navbar-toggler-padding-y) var(--#{$prefix}navbar-toggler-padding-x);\n  @include font-size(var(--#{$prefix}navbar-toggler-font-size));\n  line-height: 1;\n  color: var(--#{$prefix}navbar-color);\n  background-color: transparent; // remove default button style\n  border: var(--#{$prefix}border-width) solid var(--#{$prefix}navbar-toggler-border-color); // remove default button style\n  @include border-radius(var(--#{$prefix}navbar-toggler-border-radius));\n  @include transition(var(--#{$prefix}navbar-toggler-transition));\n\n  &:hover {\n    text-decoration: none;\n  }\n\n  &:focus {\n    text-decoration: none;\n    outline: 0;\n    box-shadow: 0 0 0 var(--#{$prefix}navbar-toggler-focus-width);\n  }\n}\n\n// Keep as a separate element so folks can easily override it with another icon\n// or image file as needed.\n.navbar-toggler-icon {\n  display: inline-block;\n  width: 1.5em;\n  height: 1.5em;\n  vertical-align: middle;\n  background-image: var(--#{$prefix}navbar-toggler-icon-bg);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: 100%;\n}\n\n.navbar-nav-scroll {\n  max-height: var(--#{$prefix}scroll-height, 75vh);\n  overflow-y: auto;\n}\n\n// scss-docs-start navbar-expand-loop\n// Generate series of `.navbar-expand-*` responsive classes for configuring\n// where your navbar collapses.\n.navbar-expand {\n  @each $breakpoint in map-keys($grid-breakpoints) {\n    $next: breakpoint-next($breakpoint, $grid-breakpoints);\n    $infix: breakpoint-infix($next, $grid-breakpoints);\n\n    // stylelint-disable-next-line scss/selector-no-union-class-name\n    &#{$infix} {\n      @include media-breakpoint-up($next) {\n        flex-wrap: nowrap;\n        justify-content: flex-start;\n\n        .navbar-nav {\n          flex-direction: row;\n\n          .dropdown-menu {\n            position: absolute;\n          }\n\n          .nav-link {\n            padding-right: var(--#{$prefix}navbar-nav-link-padding-x);\n            padding-left: var(--#{$prefix}navbar-nav-link-padding-x);\n          }\n        }\n\n        .navbar-nav-scroll {\n          overflow: visible;\n        }\n\n        .navbar-collapse {\n          display: flex !important; // stylelint-disable-line declaration-no-important\n          flex-basis: auto;\n        }\n\n        .navbar-toggler {\n          display: none;\n        }\n\n        .offcanvas {\n          // stylelint-disable declaration-no-important\n          position: static;\n          z-index: auto;\n          flex-grow: 1;\n          width: auto !important;\n          height: auto !important;\n          visibility: visible !important;\n          background-color: transparent !important;\n          border: 0 !important;\n          transform: none !important;\n          @include box-shadow(none);\n          @include transition(none);\n          // stylelint-enable declaration-no-important\n\n          .offcanvas-header {\n            display: none;\n          }\n\n          .offcanvas-body {\n            display: flex;\n            flex-grow: 0;\n            padding: 0;\n            overflow-y: visible;\n          }\n        }\n      }\n    }\n  }\n}\n// scss-docs-end navbar-expand-loop\n\n// Navbar themes\n//\n// Styles for switching between navbars with light or dark background.\n\n.navbar-light {\n  @include deprecate(\"`.navbar-light`\", \"v5.2.0\", \"v6.0.0\", true);\n}\n\n.navbar-dark,\n.navbar[data-bs-theme=\"dark\"] {\n  // scss-docs-start navbar-dark-css-vars\n  --#{$prefix}navbar-color: #{$navbar-dark-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-dark-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-dark-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-dark-active-color};\n  --#{$prefix}navbar-brand-color: #{$navbar-dark-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-dark-brand-hover-color};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-dark-toggler-border-color};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n  // scss-docs-end navbar-dark-css-vars\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .navbar-toggler-icon {\n      --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.card {\n  // scss-docs-start card-css-vars\n  --#{$prefix}card-spacer-y: #{$card-spacer-y};\n  --#{$prefix}card-spacer-x: #{$card-spacer-x};\n  --#{$prefix}card-title-spacer-y: #{$card-title-spacer-y};\n  --#{$prefix}card-title-color: #{$card-title-color};\n  --#{$prefix}card-subtitle-color: #{$card-subtitle-color};\n  --#{$prefix}card-border-width: #{$card-border-width};\n  --#{$prefix}card-border-color: #{$card-border-color};\n  --#{$prefix}card-border-radius: #{$card-border-radius};\n  --#{$prefix}card-box-shadow: #{$card-box-shadow};\n  --#{$prefix}card-inner-border-radius: #{$card-inner-border-radius};\n  --#{$prefix}card-cap-padding-y: #{$card-cap-padding-y};\n  --#{$prefix}card-cap-padding-x: #{$card-cap-padding-x};\n  --#{$prefix}card-cap-bg: #{$card-cap-bg};\n  --#{$prefix}card-cap-color: #{$card-cap-color};\n  --#{$prefix}card-height: #{$card-height};\n  --#{$prefix}card-color: #{$card-color};\n  --#{$prefix}card-bg: #{$card-bg};\n  --#{$prefix}card-img-overlay-padding: #{$card-img-overlay-padding};\n  --#{$prefix}card-group-margin: #{$card-group-margin};\n  // scss-docs-end card-css-vars\n\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  min-width: 0; // See https://github.com/twbs/bootstrap/pull/22740#issuecomment-305868106\n  height: var(--#{$prefix}card-height);\n  color: var(--#{$prefix}body-color);\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}card-bg);\n  background-clip: border-box;\n  border: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n  @include border-radius(var(--#{$prefix}card-border-radius));\n  @include box-shadow(var(--#{$prefix}card-box-shadow));\n\n  > hr {\n    margin-right: 0;\n    margin-left: 0;\n  }\n\n  > .list-group {\n    border-top: inherit;\n    border-bottom: inherit;\n\n    &:first-child {\n      border-top-width: 0;\n      @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n\n    &:last-child  {\n      border-bottom-width: 0;\n      @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n  }\n\n  // Due to specificity of the above selector (`.card > .list-group`), we must\n  // use a child selector here to prevent double borders.\n  > .card-header + .list-group,\n  > .list-group + .card-footer {\n    border-top: 0;\n  }\n}\n\n.card-body {\n  // Enable `flex-grow: 1` for decks and groups so that card blocks take up\n  // as much space as possible, ensuring footers are aligned to the bottom.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}card-spacer-y) var(--#{$prefix}card-spacer-x);\n  color: var(--#{$prefix}card-color);\n}\n\n.card-title {\n  margin-bottom: var(--#{$prefix}card-title-spacer-y);\n  color: var(--#{$prefix}card-title-color);\n}\n\n.card-subtitle {\n  margin-top: calc(-.5 * var(--#{$prefix}card-title-spacer-y)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: 0;\n  color: var(--#{$prefix}card-subtitle-color);\n}\n\n.card-text:last-child {\n  margin-bottom: 0;\n}\n\n.card-link {\n  &:hover {\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  + .card-link {\n    margin-left: var(--#{$prefix}card-spacer-x);\n  }\n}\n\n//\n// Optional textual caps\n//\n\n.card-header {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  margin-bottom: 0; // Removes the default margin-bottom of <hN>\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-bottom: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:first-child {\n    @include border-radius(var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius) 0 0);\n  }\n}\n\n.card-footer {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-top: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:last-child {\n    @include border-radius(0 0 var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius));\n  }\n}\n\n\n//\n// Header navs\n//\n\n.card-header-tabs {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: calc(-1 * var(--#{$prefix}card-cap-padding-y)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  border-bottom: 0;\n\n  .nav-link.active {\n    background-color: var(--#{$prefix}card-bg);\n    border-bottom-color: var(--#{$prefix}card-bg);\n  }\n}\n\n.card-header-pills {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n}\n\n// Card image\n.card-img-overlay {\n  position: absolute;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  padding: var(--#{$prefix}card-img-overlay-padding);\n  @include border-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-top,\n.card-img-bottom {\n  width: 100%; // Required because we use flexbox and this inherently applies align-self: stretch\n}\n\n.card-img,\n.card-img-top {\n  @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-bottom {\n  @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n\n//\n// Card groups\n//\n\n.card-group {\n  // The child selector allows nested `.card` within `.card-group`\n  // to display properly.\n  > .card {\n    margin-bottom: var(--#{$prefix}card-group-margin);\n  }\n\n  @include media-breakpoint-up(sm) {\n    display: flex;\n    flex-flow: row wrap;\n    // The child selector allows nested `.card` within `.card-group`\n    // to display properly.\n    > .card {\n      // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      flex: 1 0 0%;\n      margin-bottom: 0;\n\n      + .card {\n        margin-left: 0;\n        border-left: 0;\n      }\n\n      // Handle rounded corners\n      @if $enable-rounded {\n        &:not(:last-child) {\n          @include border-end-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-right-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-right-radius: 0;\n          }\n        }\n\n        &:not(:first-child) {\n          @include border-start-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-left-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-left-radius: 0;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.accordion {\n  // scss-docs-start accordion-css-vars\n  --#{$prefix}accordion-color: #{$accordion-color};\n  --#{$prefix}accordion-bg: #{$accordion-bg};\n  --#{$prefix}accordion-transition: #{$accordion-transition};\n  --#{$prefix}accordion-border-color: #{$accordion-border-color};\n  --#{$prefix}accordion-border-width: #{$accordion-border-width};\n  --#{$prefix}accordion-border-radius: #{$accordion-border-radius};\n  --#{$prefix}accordion-inner-border-radius: #{$accordion-inner-border-radius};\n  --#{$prefix}accordion-btn-padding-x: #{$accordion-button-padding-x};\n  --#{$prefix}accordion-btn-padding-y: #{$accordion-button-padding-y};\n  --#{$prefix}accordion-btn-color: #{$accordion-button-color};\n  --#{$prefix}accordion-btn-bg: #{$accordion-button-bg};\n  --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon)};\n  --#{$prefix}accordion-btn-icon-width: #{$accordion-icon-width};\n  --#{$prefix}accordion-btn-icon-transform: #{$accordion-icon-transform};\n  --#{$prefix}accordion-btn-icon-transition: #{$accordion-icon-transition};\n  --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon)};\n  --#{$prefix}accordion-btn-focus-box-shadow: #{$accordion-button-focus-box-shadow};\n  --#{$prefix}accordion-body-padding-x: #{$accordion-body-padding-x};\n  --#{$prefix}accordion-body-padding-y: #{$accordion-body-padding-y};\n  --#{$prefix}accordion-active-color: #{$accordion-button-active-color};\n  --#{$prefix}accordion-active-bg: #{$accordion-button-active-bg};\n  // scss-docs-end accordion-css-vars\n}\n\n.accordion-button {\n  position: relative;\n  display: flex;\n  align-items: center;\n  width: 100%;\n  padding: var(--#{$prefix}accordion-btn-padding-y) var(--#{$prefix}accordion-btn-padding-x);\n  @include font-size($font-size-base);\n  color: var(--#{$prefix}accordion-btn-color);\n  text-align: left; // Reset button style\n  background-color: var(--#{$prefix}accordion-btn-bg);\n  border: 0;\n  @include border-radius(0);\n  overflow-anchor: none;\n  @include transition(var(--#{$prefix}accordion-transition));\n\n  &:not(.collapsed) {\n    color: var(--#{$prefix}accordion-active-color);\n    background-color: var(--#{$prefix}accordion-active-bg);\n    box-shadow: inset 0 calc(-1 * var(--#{$prefix}accordion-border-width)) 0 var(--#{$prefix}accordion-border-color); // stylelint-disable-line function-disallowed-list\n\n    &::after {\n      background-image: var(--#{$prefix}accordion-btn-active-icon);\n      transform: var(--#{$prefix}accordion-btn-icon-transform);\n    }\n  }\n\n  // Accordion icon\n  &::after {\n    flex-shrink: 0;\n    width: var(--#{$prefix}accordion-btn-icon-width);\n    height: var(--#{$prefix}accordion-btn-icon-width);\n    margin-left: auto;\n    content: \"\";\n    background-image: var(--#{$prefix}accordion-btn-icon);\n    background-repeat: no-repeat;\n    background-size: var(--#{$prefix}accordion-btn-icon-width);\n    @include transition(var(--#{$prefix}accordion-btn-icon-transition));\n  }\n\n  &:hover {\n    z-index: 2;\n  }\n\n  &:focus {\n    z-index: 3;\n    outline: 0;\n    box-shadow: var(--#{$prefix}accordion-btn-focus-box-shadow);\n  }\n}\n\n.accordion-header {\n  margin-bottom: 0;\n}\n\n.accordion-item {\n  color: var(--#{$prefix}accordion-color);\n  background-color: var(--#{$prefix}accordion-bg);\n  border: var(--#{$prefix}accordion-border-width) solid var(--#{$prefix}accordion-border-color);\n\n  &:first-of-type {\n    @include border-top-radius(var(--#{$prefix}accordion-border-radius));\n\n    > .accordion-header .accordion-button {\n      @include border-top-radius(var(--#{$prefix}accordion-inner-border-radius));\n    }\n  }\n\n  &:not(:first-of-type) {\n    border-top: 0;\n  }\n\n  // Only set a border-radius on the last item if the accordion is collapsed\n  &:last-of-type {\n    @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n\n    > .accordion-header .accordion-button {\n      &.collapsed {\n        @include border-bottom-radius(var(--#{$prefix}accordion-inner-border-radius));\n      }\n    }\n\n    > .accordion-collapse {\n      @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n    }\n  }\n}\n\n.accordion-body {\n  padding: var(--#{$prefix}accordion-body-padding-y) var(--#{$prefix}accordion-body-padding-x);\n}\n\n\n// Flush accordion items\n//\n// Remove borders and border-radius to keep accordion items edge-to-edge.\n\n.accordion-flush {\n  > .accordion-item {\n    border-right: 0;\n    border-left: 0;\n    @include border-radius(0);\n\n    &:first-child { border-top: 0; }\n    &:last-child { border-bottom: 0; }\n\n    // stylelint-disable selector-max-class\n    > .accordion-header .accordion-button {\n      &,\n      &.collapsed {\n        @include border-radius(0);\n      }\n    }\n    // stylelint-enable selector-max-class\n\n    > .accordion-collapse {\n      @include border-radius(0);\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .accordion-button::after {\n      --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon-dark)};\n      --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon-dark)};\n    }\n  }\n}\n",".breadcrumb {\n  // scss-docs-start breadcrumb-css-vars\n  --#{$prefix}breadcrumb-padding-x: #{$breadcrumb-padding-x};\n  --#{$prefix}breadcrumb-padding-y: #{$breadcrumb-padding-y};\n  --#{$prefix}breadcrumb-margin-bottom: #{$breadcrumb-margin-bottom};\n  @include rfs($breadcrumb-font-size, --#{$prefix}breadcrumb-font-size);\n  --#{$prefix}breadcrumb-bg: #{$breadcrumb-bg};\n  --#{$prefix}breadcrumb-border-radius: #{$breadcrumb-border-radius};\n  --#{$prefix}breadcrumb-divider-color: #{$breadcrumb-divider-color};\n  --#{$prefix}breadcrumb-item-padding-x: #{$breadcrumb-item-padding-x};\n  --#{$prefix}breadcrumb-item-active-color: #{$breadcrumb-active-color};\n  // scss-docs-end breadcrumb-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding: var(--#{$prefix}breadcrumb-padding-y) var(--#{$prefix}breadcrumb-padding-x);\n  margin-bottom: var(--#{$prefix}breadcrumb-margin-bottom);\n  @include font-size(var(--#{$prefix}breadcrumb-font-size));\n  list-style: none;\n  background-color: var(--#{$prefix}breadcrumb-bg);\n  @include border-radius(var(--#{$prefix}breadcrumb-border-radius));\n}\n\n.breadcrumb-item {\n  // The separator between breadcrumbs (by default, a forward-slash: \"/\")\n  + .breadcrumb-item {\n    padding-left: var(--#{$prefix}breadcrumb-item-padding-x);\n\n    &::before {\n      float: left; // Suppress inline spacings and underlining of the separator\n      padding-right: var(--#{$prefix}breadcrumb-item-padding-x);\n      color: var(--#{$prefix}breadcrumb-divider-color);\n      content: var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider)) #{\"/* rtl:\"} var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider-flipped)) #{\"*/\"};\n    }\n  }\n\n  &.active {\n    color: var(--#{$prefix}breadcrumb-item-active-color);\n  }\n}\n",".pagination {\n  // scss-docs-start pagination-css-vars\n  --#{$prefix}pagination-padding-x: #{$pagination-padding-x};\n  --#{$prefix}pagination-padding-y: #{$pagination-padding-y};\n  @include rfs($pagination-font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-color: #{$pagination-color};\n  --#{$prefix}pagination-bg: #{$pagination-bg};\n  --#{$prefix}pagination-border-width: #{$pagination-border-width};\n  --#{$prefix}pagination-border-color: #{$pagination-border-color};\n  --#{$prefix}pagination-border-radius: #{$pagination-border-radius};\n  --#{$prefix}pagination-hover-color: #{$pagination-hover-color};\n  --#{$prefix}pagination-hover-bg: #{$pagination-hover-bg};\n  --#{$prefix}pagination-hover-border-color: #{$pagination-hover-border-color};\n  --#{$prefix}pagination-focus-color: #{$pagination-focus-color};\n  --#{$prefix}pagination-focus-bg: #{$pagination-focus-bg};\n  --#{$prefix}pagination-focus-box-shadow: #{$pagination-focus-box-shadow};\n  --#{$prefix}pagination-active-color: #{$pagination-active-color};\n  --#{$prefix}pagination-active-bg: #{$pagination-active-bg};\n  --#{$prefix}pagination-active-border-color: #{$pagination-active-border-color};\n  --#{$prefix}pagination-disabled-color: #{$pagination-disabled-color};\n  --#{$prefix}pagination-disabled-bg: #{$pagination-disabled-bg};\n  --#{$prefix}pagination-disabled-border-color: #{$pagination-disabled-border-color};\n  // scss-docs-end pagination-css-vars\n\n  display: flex;\n  @include list-unstyled();\n}\n\n.page-link {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}pagination-padding-y) var(--#{$prefix}pagination-padding-x);\n  @include font-size(var(--#{$prefix}pagination-font-size));\n  color: var(--#{$prefix}pagination-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}pagination-bg);\n  border: var(--#{$prefix}pagination-border-width) solid var(--#{$prefix}pagination-border-color);\n  @include transition($pagination-transition);\n\n  &:hover {\n    z-index: 2;\n    color: var(--#{$prefix}pagination-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}pagination-hover-bg);\n    border-color: var(--#{$prefix}pagination-hover-border-color);\n  }\n\n  &:focus {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-focus-color);\n    background-color: var(--#{$prefix}pagination-focus-bg);\n    outline: $pagination-focus-outline;\n    box-shadow: var(--#{$prefix}pagination-focus-box-shadow);\n  }\n\n  &.active,\n  .active > & {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-active-color);\n    @include gradient-bg(var(--#{$prefix}pagination-active-bg));\n    border-color: var(--#{$prefix}pagination-active-border-color);\n  }\n\n  &.disabled,\n  .disabled > & {\n    color: var(--#{$prefix}pagination-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}pagination-disabled-bg);\n    border-color: var(--#{$prefix}pagination-disabled-border-color);\n  }\n}\n\n.page-item {\n  &:not(:first-child) .page-link {\n    margin-left: $pagination-margin-start;\n  }\n\n  @if $pagination-margin-start == calc(#{$pagination-border-width} * -1) {\n    &:first-child {\n      .page-link {\n        @include border-start-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n\n    &:last-child {\n      .page-link {\n        @include border-end-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n  } @else {\n    // Add border-radius to all pageLinks in case they have left margin\n    .page-link {\n      @include border-radius(var(--#{$prefix}pagination-border-radius));\n    }\n  }\n}\n\n\n//\n// Sizing\n//\n\n.pagination-lg {\n  @include pagination-size($pagination-padding-y-lg, $pagination-padding-x-lg, $font-size-lg, $pagination-border-radius-lg);\n}\n\n.pagination-sm {\n  @include pagination-size($pagination-padding-y-sm, $pagination-padding-x-sm, $font-size-sm, $pagination-border-radius-sm);\n}\n","// Pagination\n\n// scss-docs-start pagination-mixin\n@mixin pagination-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}pagination-padding-x: #{$padding-x};\n  --#{$prefix}pagination-padding-y: #{$padding-y};\n  @include rfs($font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-border-radius: #{$border-radius};\n}\n// scss-docs-end pagination-mixin\n","// Base class\n//\n// Requires one of the contextual, color modifier classes for `color` and\n// `background-color`.\n\n.badge {\n  // scss-docs-start badge-css-vars\n  --#{$prefix}badge-padding-x: #{$badge-padding-x};\n  --#{$prefix}badge-padding-y: #{$badge-padding-y};\n  @include rfs($badge-font-size, --#{$prefix}badge-font-size);\n  --#{$prefix}badge-font-weight: #{$badge-font-weight};\n  --#{$prefix}badge-color: #{$badge-color};\n  --#{$prefix}badge-border-radius: #{$badge-border-radius};\n  // scss-docs-end badge-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}badge-padding-y) var(--#{$prefix}badge-padding-x);\n  @include font-size(var(--#{$prefix}badge-font-size));\n  font-weight: var(--#{$prefix}badge-font-weight);\n  line-height: 1;\n  color: var(--#{$prefix}badge-color);\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  @include border-radius(var(--#{$prefix}badge-border-radius));\n  @include gradient-bg();\n\n  // Empty badges collapse automatically\n  &:empty {\n    display: none;\n  }\n}\n\n// Quick fix for badges in buttons\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n","//\n// Base styles\n//\n\n.alert {\n  // scss-docs-start alert-css-vars\n  --#{$prefix}alert-bg: transparent;\n  --#{$prefix}alert-padding-x: #{$alert-padding-x};\n  --#{$prefix}alert-padding-y: #{$alert-padding-y};\n  --#{$prefix}alert-margin-bottom: #{$alert-margin-bottom};\n  --#{$prefix}alert-color: inherit;\n  --#{$prefix}alert-border-color: transparent;\n  --#{$prefix}alert-border: #{$alert-border-width} solid var(--#{$prefix}alert-border-color);\n  --#{$prefix}alert-border-radius: #{$alert-border-radius};\n  --#{$prefix}alert-link-color: inherit;\n  // scss-docs-end alert-css-vars\n\n  position: relative;\n  padding: var(--#{$prefix}alert-padding-y) var(--#{$prefix}alert-padding-x);\n  margin-bottom: var(--#{$prefix}alert-margin-bottom);\n  color: var(--#{$prefix}alert-color);\n  background-color: var(--#{$prefix}alert-bg);\n  border: var(--#{$prefix}alert-border);\n  @include border-radius(var(--#{$prefix}alert-border-radius));\n}\n\n// Headings for larger alerts\n.alert-heading {\n  // Specified to prevent conflicts of changing $headings-color\n  color: inherit;\n}\n\n// Provide class for links that match alerts\n.alert-link {\n  font-weight: $alert-link-font-weight;\n  color: var(--#{$prefix}alert-link-color);\n}\n\n\n// Dismissible alerts\n//\n// Expand the right padding and account for the close button's positioning.\n\n.alert-dismissible {\n  padding-right: $alert-dismissible-padding-r;\n\n  // Adjust close link position\n  .btn-close {\n    position: absolute;\n    top: 0;\n    right: 0;\n    z-index: $stretched-link-z-index + 1;\n    padding: $alert-padding-y * 1.25 $alert-padding-x;\n  }\n}\n\n\n// scss-docs-start alert-modifiers\n// Generate contextual modifier classes for colorizing the alert\n@each $state in map-keys($theme-colors) {\n  .alert-#{$state} {\n    --#{$prefix}alert-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}alert-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}alert-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}alert-link-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end alert-modifiers\n","// Disable animation if transitions are disabled\n\n// scss-docs-start progress-keyframes\n@if $enable-transitions {\n  @keyframes progress-bar-stripes {\n    0% { background-position-x: $progress-height; }\n  }\n}\n// scss-docs-end progress-keyframes\n\n.progress,\n.progress-stacked {\n  // scss-docs-start progress-css-vars\n  --#{$prefix}progress-height: #{$progress-height};\n  @include rfs($progress-font-size, --#{$prefix}progress-font-size);\n  --#{$prefix}progress-bg: #{$progress-bg};\n  --#{$prefix}progress-border-radius: #{$progress-border-radius};\n  --#{$prefix}progress-box-shadow: #{$progress-box-shadow};\n  --#{$prefix}progress-bar-color: #{$progress-bar-color};\n  --#{$prefix}progress-bar-bg: #{$progress-bar-bg};\n  --#{$prefix}progress-bar-transition: #{$progress-bar-transition};\n  // scss-docs-end progress-css-vars\n\n  display: flex;\n  height: var(--#{$prefix}progress-height);\n  overflow: hidden; // force rounded corners by cropping it\n  @include font-size(var(--#{$prefix}progress-font-size));\n  background-color: var(--#{$prefix}progress-bg);\n  @include border-radius(var(--#{$prefix}progress-border-radius));\n  @include box-shadow(var(--#{$prefix}progress-box-shadow));\n}\n\n.progress-bar {\n  display: flex;\n  flex-direction: column;\n  justify-content: center;\n  overflow: hidden;\n  color: var(--#{$prefix}progress-bar-color);\n  text-align: center;\n  white-space: nowrap;\n  background-color: var(--#{$prefix}progress-bar-bg);\n  @include transition(var(--#{$prefix}progress-bar-transition));\n}\n\n.progress-bar-striped {\n  @include gradient-striped();\n  background-size: var(--#{$prefix}progress-height) var(--#{$prefix}progress-height);\n}\n\n.progress-stacked > .progress {\n  overflow: visible;\n}\n\n.progress-stacked > .progress > .progress-bar {\n  width: 100%;\n}\n\n@if $enable-transitions {\n  .progress-bar-animated {\n    animation: $progress-bar-animation-timing progress-bar-stripes;\n\n    @if $enable-reduced-motion {\n      @media (prefers-reduced-motion: reduce) {\n        animation: none;\n      }\n    }\n  }\n}\n","// Base class\n//\n// Easily usable on <ul>, <ol>, or <div>.\n\n.list-group {\n  // scss-docs-start list-group-css-vars\n  --#{$prefix}list-group-color: #{$list-group-color};\n  --#{$prefix}list-group-bg: #{$list-group-bg};\n  --#{$prefix}list-group-border-color: #{$list-group-border-color};\n  --#{$prefix}list-group-border-width: #{$list-group-border-width};\n  --#{$prefix}list-group-border-radius: #{$list-group-border-radius};\n  --#{$prefix}list-group-item-padding-x: #{$list-group-item-padding-x};\n  --#{$prefix}list-group-item-padding-y: #{$list-group-item-padding-y};\n  --#{$prefix}list-group-action-color: #{$list-group-action-color};\n  --#{$prefix}list-group-action-hover-color: #{$list-group-action-hover-color};\n  --#{$prefix}list-group-action-hover-bg: #{$list-group-hover-bg};\n  --#{$prefix}list-group-action-active-color: #{$list-group-action-active-color};\n  --#{$prefix}list-group-action-active-bg: #{$list-group-action-active-bg};\n  --#{$prefix}list-group-disabled-color: #{$list-group-disabled-color};\n  --#{$prefix}list-group-disabled-bg: #{$list-group-disabled-bg};\n  --#{$prefix}list-group-active-color: #{$list-group-active-color};\n  --#{$prefix}list-group-active-bg: #{$list-group-active-bg};\n  --#{$prefix}list-group-active-border-color: #{$list-group-active-border-color};\n  // scss-docs-end list-group-css-vars\n\n  display: flex;\n  flex-direction: column;\n\n  // No need to set list-style: none; since .list-group-item is block level\n  padding-left: 0; // reset padding because ul and ol\n  margin-bottom: 0;\n  @include border-radius(var(--#{$prefix}list-group-border-radius));\n}\n\n.list-group-numbered {\n  list-style-type: none;\n  counter-reset: section;\n\n  > .list-group-item::before {\n    // Increments only this instance of the section counter\n    content: counters(section, \".\") \". \";\n    counter-increment: section;\n  }\n}\n\n// Interactive list items\n//\n// Use anchor or button elements instead of `li`s or `div`s to create interactive\n// list items. Includes an extra `.active` modifier class for selected items.\n\n.list-group-item-action {\n  width: 100%; // For `<button>`s (anchors become 100% by default though)\n  color: var(--#{$prefix}list-group-action-color);\n  text-align: inherit; // For `<button>`s (anchors inherit)\n\n  // Hover state\n  &:hover,\n  &:focus {\n    z-index: 1; // Place hover/focus items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-action-hover-color);\n    text-decoration: none;\n    background-color: var(--#{$prefix}list-group-action-hover-bg);\n  }\n\n  &:active {\n    color: var(--#{$prefix}list-group-action-active-color);\n    background-color: var(--#{$prefix}list-group-action-active-bg);\n  }\n}\n\n// Individual list items\n//\n// Use on `li`s or `div`s within the `.list-group` parent.\n\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}list-group-item-padding-y) var(--#{$prefix}list-group-item-padding-x);\n  color: var(--#{$prefix}list-group-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}list-group-bg);\n  border: var(--#{$prefix}list-group-border-width) solid var(--#{$prefix}list-group-border-color);\n\n  &:first-child {\n    @include border-top-radius(inherit);\n  }\n\n  &:last-child {\n    @include border-bottom-radius(inherit);\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}list-group-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}list-group-disabled-bg);\n  }\n\n  // Include both here for `<a>`s and `<button>`s\n  &.active {\n    z-index: 2; // Place active items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-active-color);\n    background-color: var(--#{$prefix}list-group-active-bg);\n    border-color: var(--#{$prefix}list-group-active-border-color);\n  }\n\n  // stylelint-disable-next-line scss/selector-no-redundant-nesting-selector\n  & + .list-group-item {\n    border-top-width: 0;\n\n    &.active {\n      margin-top: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n      border-top-width: var(--#{$prefix}list-group-border-width);\n    }\n  }\n}\n\n// Horizontal\n//\n// Change the layout of list group items from vertical (default) to horizontal.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .list-group-horizontal#{$infix} {\n      flex-direction: row;\n\n      > .list-group-item {\n        &:first-child:not(:last-child) {\n          @include border-bottom-start-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-top-end-radius(0);\n        }\n\n        &:last-child:not(:first-child) {\n          @include border-top-end-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-bottom-start-radius(0);\n        }\n\n        &.active {\n          margin-top: 0;\n        }\n\n        + .list-group-item {\n          border-top-width: var(--#{$prefix}list-group-border-width);\n          border-left-width: 0;\n\n          &.active {\n            margin-left: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n            border-left-width: var(--#{$prefix}list-group-border-width);\n          }\n        }\n      }\n    }\n  }\n}\n\n\n// Flush list items\n//\n// Remove borders and border-radius to keep list group items edge-to-edge. Most\n// useful within other components (e.g., cards).\n\n.list-group-flush {\n  @include border-radius(0);\n\n  > .list-group-item {\n    border-width: 0 0 var(--#{$prefix}list-group-border-width);\n\n    &:last-child {\n      border-bottom-width: 0;\n    }\n  }\n}\n\n\n// scss-docs-start list-group-modifiers\n// List group contextual variants\n//\n// Add modifier classes to change text and background color on individual items.\n// Organizationally, this must come after the `:hover` states.\n\n@each $state in map-keys($theme-colors) {\n  .list-group-item-#{$state} {\n    --#{$prefix}list-group-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-hover-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-hover-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-active-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-active-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-active-color: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-active-bg: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-active-border-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end list-group-modifiers\n","// Transparent background and border properties included for button version.\n// iOS requires the button element instead of an anchor tag.\n// If you want the anchor version, it requires `href=\"#\"`.\n// See https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n\n.btn-close {\n  // scss-docs-start close-css-vars\n  --#{$prefix}btn-close-color: #{$btn-close-color};\n  --#{$prefix}btn-close-bg: #{ escape-svg($btn-close-bg) };\n  --#{$prefix}btn-close-opacity: #{$btn-close-opacity};\n  --#{$prefix}btn-close-hover-opacity: #{$btn-close-hover-opacity};\n  --#{$prefix}btn-close-focus-shadow: #{$btn-close-focus-shadow};\n  --#{$prefix}btn-close-focus-opacity: #{$btn-close-focus-opacity};\n  --#{$prefix}btn-close-disabled-opacity: #{$btn-close-disabled-opacity};\n  --#{$prefix}btn-close-white-filter: #{$btn-close-white-filter};\n  // scss-docs-end close-css-vars\n\n  box-sizing: content-box;\n  width: $btn-close-width;\n  height: $btn-close-height;\n  padding: $btn-close-padding-y $btn-close-padding-x;\n  color: var(--#{$prefix}btn-close-color);\n  background: transparent var(--#{$prefix}btn-close-bg) center / $btn-close-width auto no-repeat; // include transparent for button elements\n  border: 0; // for button elements\n  @include border-radius();\n  opacity: var(--#{$prefix}btn-close-opacity);\n\n  // Override <a>'s hover style\n  &:hover {\n    color: var(--#{$prefix}btn-close-color);\n    text-decoration: none;\n    opacity: var(--#{$prefix}btn-close-hover-opacity);\n  }\n\n  &:focus {\n    outline: 0;\n    box-shadow: var(--#{$prefix}btn-close-focus-shadow);\n    opacity: var(--#{$prefix}btn-close-focus-opacity);\n  }\n\n  &:disabled,\n  &.disabled {\n    pointer-events: none;\n    user-select: none;\n    opacity: var(--#{$prefix}btn-close-disabled-opacity);\n  }\n}\n\n@mixin btn-close-white() {\n  filter: var(--#{$prefix}btn-close-white-filter);\n}\n\n.btn-close-white {\n  @include btn-close-white();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .btn-close {\n      @include btn-close-white();\n    }\n  }\n}\n",".toast {\n  // scss-docs-start toast-css-vars\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n  --#{$prefix}toast-padding-x: #{$toast-padding-x};\n  --#{$prefix}toast-padding-y: #{$toast-padding-y};\n  --#{$prefix}toast-spacing: #{$toast-spacing};\n  --#{$prefix}toast-max-width: #{$toast-max-width};\n  @include rfs($toast-font-size, --#{$prefix}toast-font-size);\n  --#{$prefix}toast-color: #{$toast-color};\n  --#{$prefix}toast-bg: #{$toast-background-color};\n  --#{$prefix}toast-border-width: #{$toast-border-width};\n  --#{$prefix}toast-border-color: #{$toast-border-color};\n  --#{$prefix}toast-border-radius: #{$toast-border-radius};\n  --#{$prefix}toast-box-shadow: #{$toast-box-shadow};\n  --#{$prefix}toast-header-color: #{$toast-header-color};\n  --#{$prefix}toast-header-bg: #{$toast-header-background-color};\n  --#{$prefix}toast-header-border-color: #{$toast-header-border-color};\n  // scss-docs-end toast-css-vars\n\n  width: var(--#{$prefix}toast-max-width);\n  max-width: 100%;\n  @include font-size(var(--#{$prefix}toast-font-size));\n  color: var(--#{$prefix}toast-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}toast-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-border-color);\n  box-shadow: var(--#{$prefix}toast-box-shadow);\n  @include border-radius(var(--#{$prefix}toast-border-radius));\n\n  &.showing {\n    opacity: 0;\n  }\n\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.toast-container {\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n\n  position: absolute;\n  z-index: var(--#{$prefix}toast-zindex);\n  width: max-content;\n  max-width: 100%;\n  pointer-events: none;\n\n  > :not(:last-child) {\n    margin-bottom: var(--#{$prefix}toast-spacing);\n  }\n}\n\n.toast-header {\n  display: flex;\n  align-items: center;\n  padding: var(--#{$prefix}toast-padding-y) var(--#{$prefix}toast-padding-x);\n  color: var(--#{$prefix}toast-header-color);\n  background-color: var(--#{$prefix}toast-header-bg);\n  background-clip: padding-box;\n  border-bottom: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-header-border-color);\n  @include border-top-radius(calc(var(--#{$prefix}toast-border-radius) - var(--#{$prefix}toast-border-width)));\n\n  .btn-close {\n    margin-right: calc(-.5 * var(--#{$prefix}toast-padding-x)); // stylelint-disable-line function-disallowed-list\n    margin-left: var(--#{$prefix}toast-padding-x);\n  }\n}\n\n.toast-body {\n  padding: var(--#{$prefix}toast-padding-x);\n  word-wrap: break-word;\n}\n","// stylelint-disable function-disallowed-list\n\n// .modal-open      - body class for killing the scroll\n// .modal           - container to scroll within\n// .modal-dialog    - positioning shell for the actual modal\n// .modal-content   - actual modal w/ bg and corners and stuff\n\n\n// Container that the modal scrolls within\n.modal {\n  // scss-docs-start modal-css-vars\n  --#{$prefix}modal-zindex: #{$zindex-modal};\n  --#{$prefix}modal-width: #{$modal-md};\n  --#{$prefix}modal-padding: #{$modal-inner-padding};\n  --#{$prefix}modal-margin: #{$modal-dialog-margin};\n  --#{$prefix}modal-color: #{$modal-content-color};\n  --#{$prefix}modal-bg: #{$modal-content-bg};\n  --#{$prefix}modal-border-color: #{$modal-content-border-color};\n  --#{$prefix}modal-border-width: #{$modal-content-border-width};\n  --#{$prefix}modal-border-radius: #{$modal-content-border-radius};\n  --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-xs};\n  --#{$prefix}modal-inner-border-radius: #{$modal-content-inner-border-radius};\n  --#{$prefix}modal-header-padding-x: #{$modal-header-padding-x};\n  --#{$prefix}modal-header-padding-y: #{$modal-header-padding-y};\n  --#{$prefix}modal-header-padding: #{$modal-header-padding}; // Todo in v6: Split this padding into x and y\n  --#{$prefix}modal-header-border-color: #{$modal-header-border-color};\n  --#{$prefix}modal-header-border-width: #{$modal-header-border-width};\n  --#{$prefix}modal-title-line-height: #{$modal-title-line-height};\n  --#{$prefix}modal-footer-gap: #{$modal-footer-margin-between};\n  --#{$prefix}modal-footer-bg: #{$modal-footer-bg};\n  --#{$prefix}modal-footer-border-color: #{$modal-footer-border-color};\n  --#{$prefix}modal-footer-border-width: #{$modal-footer-border-width};\n  // scss-docs-end modal-css-vars\n\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: var(--#{$prefix}modal-zindex);\n  display: none;\n  width: 100%;\n  height: 100%;\n  overflow-x: hidden;\n  overflow-y: auto;\n  // Prevent Chrome on Windows from adding a focus outline. For details, see\n  // https://github.com/twbs/bootstrap/pull/10951.\n  outline: 0;\n  // We deliberately don't use `-webkit-overflow-scrolling: touch;` due to a\n  // gnarly iOS Safari bug: https://bugs.webkit.org/show_bug.cgi?id=158342\n  // See also https://github.com/twbs/bootstrap/issues/17695\n}\n\n// Shell div to position the modal with bottom padding\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: var(--#{$prefix}modal-margin);\n  // allow clicks to pass through for custom click handling to close modal\n  pointer-events: none;\n\n  // When fading in the modal, animate it to slide down\n  .modal.fade & {\n    @include transition($modal-transition);\n    transform: $modal-fade-transform;\n  }\n  .modal.show & {\n    transform: $modal-show-transform;\n  }\n\n  // When trying to close, animate focus to scale\n  .modal.modal-static & {\n    transform: $modal-scale-transform;\n  }\n}\n\n.modal-dialog-scrollable {\n  height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n\n  .modal-content {\n    max-height: 100%;\n    overflow: hidden;\n  }\n\n  .modal-body {\n    overflow-y: auto;\n  }\n}\n\n.modal-dialog-centered {\n  display: flex;\n  align-items: center;\n  min-height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n}\n\n// Actual modal\n.modal-content {\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  width: 100%; // Ensure `.modal-content` extends the full width of the parent `.modal-dialog`\n  // counteract the pointer-events: none; in the .modal-dialog\n  color: var(--#{$prefix}modal-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}modal-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}modal-border-width) solid var(--#{$prefix}modal-border-color);\n  @include border-radius(var(--#{$prefix}modal-border-radius));\n  @include box-shadow(var(--#{$prefix}modal-box-shadow));\n  // Remove focus outline from opened modal\n  outline: 0;\n}\n\n// Modal background\n.modal-backdrop {\n  // scss-docs-start modal-backdrop-css-vars\n  --#{$prefix}backdrop-zindex: #{$zindex-modal-backdrop};\n  --#{$prefix}backdrop-bg: #{$modal-backdrop-bg};\n  --#{$prefix}backdrop-opacity: #{$modal-backdrop-opacity};\n  // scss-docs-end modal-backdrop-css-vars\n\n  @include overlay-backdrop(var(--#{$prefix}backdrop-zindex), var(--#{$prefix}backdrop-bg), var(--#{$prefix}backdrop-opacity));\n}\n\n// Modal header\n// Top section of the modal w/ title and dismiss\n.modal-header {\n  display: flex;\n  flex-shrink: 0;\n  align-items: center;\n  padding: var(--#{$prefix}modal-header-padding);\n  border-bottom: var(--#{$prefix}modal-header-border-width) solid var(--#{$prefix}modal-header-border-color);\n  @include border-top-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}modal-header-padding-y) * .5) calc(var(--#{$prefix}modal-header-padding-x) * .5);\n    margin: calc(-.5 * var(--#{$prefix}modal-header-padding-y)) calc(-.5 * var(--#{$prefix}modal-header-padding-x)) calc(-.5 * var(--#{$prefix}modal-header-padding-y)) auto;\n  }\n}\n\n// Title text within header\n.modal-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}modal-title-line-height);\n}\n\n// Modal body\n// Where all modal content resides (sibling of .modal-header and .modal-footer)\n.modal-body {\n  position: relative;\n  // Enable `flex-grow: 1` so that the body take up as much space as possible\n  // when there should be a fixed height on `.modal-dialog`.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}modal-padding);\n}\n\n// Footer (for actions)\n.modal-footer {\n  display: flex;\n  flex-shrink: 0;\n  flex-wrap: wrap;\n  align-items: center; // vertically center\n  justify-content: flex-end; // Right align buttons with flex property because text-align doesn't work on flex items\n  padding: calc(var(--#{$prefix}modal-padding) - var(--#{$prefix}modal-footer-gap) * .5);\n  background-color: var(--#{$prefix}modal-footer-bg);\n  border-top: var(--#{$prefix}modal-footer-border-width) solid var(--#{$prefix}modal-footer-border-color);\n  @include border-bottom-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  // Place margin between footer elements\n  // This solution is far from ideal because of the universal selector usage,\n  // but is needed to fix https://github.com/twbs/bootstrap/issues/24800\n  > * {\n    margin: calc(var(--#{$prefix}modal-footer-gap) * .5); // Todo in v6: replace with gap on parent class\n  }\n}\n\n// Scale up the modal\n@include media-breakpoint-up(sm) {\n  .modal {\n    --#{$prefix}modal-margin: #{$modal-dialog-margin-y-sm-up};\n    --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-sm-up};\n  }\n\n  // Automatically set modal's width for larger viewports\n  .modal-dialog {\n    max-width: var(--#{$prefix}modal-width);\n    margin-right: auto;\n    margin-left: auto;\n  }\n\n  .modal-sm {\n    --#{$prefix}modal-width: #{$modal-sm};\n  }\n}\n\n@include media-breakpoint-up(lg) {\n  .modal-lg,\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-lg};\n  }\n}\n\n@include media-breakpoint-up(xl) {\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-xl};\n  }\n}\n\n// scss-docs-start modal-fullscreen-loop\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n  $postfix: if($infix != \"\", $infix + \"-down\", \"\");\n\n  @include media-breakpoint-down($breakpoint) {\n    .modal-fullscreen#{$postfix} {\n      width: 100vw;\n      max-width: none;\n      height: 100%;\n      margin: 0;\n\n      .modal-content {\n        height: 100%;\n        border: 0;\n        @include border-radius(0);\n      }\n\n      .modal-header,\n      .modal-footer {\n        @include border-radius(0);\n      }\n\n      .modal-body {\n        overflow-y: auto;\n      }\n    }\n  }\n}\n// scss-docs-end modal-fullscreen-loop\n","// Shared between modals and offcanvases\n@mixin overlay-backdrop($zindex, $backdrop-bg, $backdrop-opacity) {\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: $zindex;\n  width: 100vw;\n  height: 100vh;\n  background-color: $backdrop-bg;\n\n  // Fade for backdrop\n  &.fade { opacity: 0; }\n  &.show { opacity: $backdrop-opacity; }\n}\n","// Base class\n.tooltip {\n  // scss-docs-start tooltip-css-vars\n  --#{$prefix}tooltip-zindex: #{$zindex-tooltip};\n  --#{$prefix}tooltip-max-width: #{$tooltip-max-width};\n  --#{$prefix}tooltip-padding-x: #{$tooltip-padding-x};\n  --#{$prefix}tooltip-padding-y: #{$tooltip-padding-y};\n  --#{$prefix}tooltip-margin: #{$tooltip-margin};\n  @include rfs($tooltip-font-size, --#{$prefix}tooltip-font-size);\n  --#{$prefix}tooltip-color: #{$tooltip-color};\n  --#{$prefix}tooltip-bg: #{$tooltip-bg};\n  --#{$prefix}tooltip-border-radius: #{$tooltip-border-radius};\n  --#{$prefix}tooltip-opacity: #{$tooltip-opacity};\n  --#{$prefix}tooltip-arrow-width: #{$tooltip-arrow-width};\n  --#{$prefix}tooltip-arrow-height: #{$tooltip-arrow-height};\n  // scss-docs-end tooltip-css-vars\n\n  z-index: var(--#{$prefix}tooltip-zindex);\n  display: block;\n  margin: var(--#{$prefix}tooltip-margin);\n  @include deprecate(\"`$tooltip-margin`\", \"v5\", \"v5.x\", true);\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  @include reset-text();\n  @include font-size(var(--#{$prefix}tooltip-font-size));\n  // Allow breaking very long words so they don't overflow the tooltip's bounds\n  word-wrap: break-word;\n  opacity: 0;\n\n  &.show { opacity: var(--#{$prefix}tooltip-opacity); }\n\n  .tooltip-arrow {\n    display: block;\n    width: var(--#{$prefix}tooltip-arrow-width);\n    height: var(--#{$prefix}tooltip-arrow-height);\n\n    &::before {\n      position: absolute;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n    }\n  }\n}\n\n.bs-tooltip-top .tooltip-arrow {\n  bottom: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    top: -1px;\n    border-width: var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-top-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-end .tooltip-arrow {\n  left: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    right: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-right-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-bottom .tooltip-arrow {\n  top: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    bottom: -1px;\n    border-width: 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-bottom-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-start .tooltip-arrow {\n  right: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    left: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-left-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-tooltip-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-tooltip-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-tooltip-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-tooltip-start;\n  }\n}\n\n// Wrapper for the tooltip content\n.tooltip-inner {\n  max-width: var(--#{$prefix}tooltip-max-width);\n  padding: var(--#{$prefix}tooltip-padding-y) var(--#{$prefix}tooltip-padding-x);\n  color: var(--#{$prefix}tooltip-color);\n  text-align: center;\n  background-color: var(--#{$prefix}tooltip-bg);\n  @include border-radius(var(--#{$prefix}tooltip-border-radius));\n}\n","@mixin reset-text {\n  font-family: $font-family-base;\n  // We deliberately do NOT reset font-size or overflow-wrap / word-wrap.\n  font-style: normal;\n  font-weight: $font-weight-normal;\n  line-height: $line-height-base;\n  text-align: left; // Fallback for where `start` is not supported\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  white-space: normal;\n  word-spacing: normal;\n  line-break: auto;\n}\n",".popover {\n  // scss-docs-start popover-css-vars\n  --#{$prefix}popover-zindex: #{$zindex-popover};\n  --#{$prefix}popover-max-width: #{$popover-max-width};\n  @include rfs($popover-font-size, --#{$prefix}popover-font-size);\n  --#{$prefix}popover-bg: #{$popover-bg};\n  --#{$prefix}popover-border-width: #{$popover-border-width};\n  --#{$prefix}popover-border-color: #{$popover-border-color};\n  --#{$prefix}popover-border-radius: #{$popover-border-radius};\n  --#{$prefix}popover-inner-border-radius: #{$popover-inner-border-radius};\n  --#{$prefix}popover-box-shadow: #{$popover-box-shadow};\n  --#{$prefix}popover-header-padding-x: #{$popover-header-padding-x};\n  --#{$prefix}popover-header-padding-y: #{$popover-header-padding-y};\n  @include rfs($popover-header-font-size, --#{$prefix}popover-header-font-size);\n  --#{$prefix}popover-header-color: #{$popover-header-color};\n  --#{$prefix}popover-header-bg: #{$popover-header-bg};\n  --#{$prefix}popover-body-padding-x: #{$popover-body-padding-x};\n  --#{$prefix}popover-body-padding-y: #{$popover-body-padding-y};\n  --#{$prefix}popover-body-color: #{$popover-body-color};\n  --#{$prefix}popover-arrow-width: #{$popover-arrow-width};\n  --#{$prefix}popover-arrow-height: #{$popover-arrow-height};\n  --#{$prefix}popover-arrow-border: var(--#{$prefix}popover-border-color);\n  // scss-docs-end popover-css-vars\n\n  z-index: var(--#{$prefix}popover-zindex);\n  display: block;\n  max-width: var(--#{$prefix}popover-max-width);\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  @include reset-text();\n  @include font-size(var(--#{$prefix}popover-font-size));\n  // Allow breaking very long words so they don't overflow the popover's bounds\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}popover-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-radius(var(--#{$prefix}popover-border-radius));\n  @include box-shadow(var(--#{$prefix}popover-box-shadow));\n\n  .popover-arrow {\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    height: var(--#{$prefix}popover-arrow-height);\n\n    &::before,\n    &::after {\n      position: absolute;\n      display: block;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n      border-width: 0;\n    }\n  }\n}\n\n.bs-popover-top {\n  > .popover-arrow {\n    bottom: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      bottom: 0;\n      border-top-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      bottom: var(--#{$prefix}popover-border-width);\n      border-top-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-end {\n  > .popover-arrow {\n    left: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      left: 0;\n      border-right-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      left: var(--#{$prefix}popover-border-width);\n      border-right-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-bottom {\n  > .popover-arrow {\n    top: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      top: 0;\n      border-bottom-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      top: var(--#{$prefix}popover-border-width);\n      border-bottom-color: var(--#{$prefix}popover-bg);\n    }\n  }\n\n  // This will remove the popover-header's border just below the arrow\n  .popover-header::before {\n    position: absolute;\n    top: 0;\n    left: 50%;\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    margin-left: calc(-.5 * var(--#{$prefix}popover-arrow-width)); // stylelint-disable-line function-disallowed-list\n    content: \"\";\n    border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-header-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-start {\n  > .popover-arrow {\n    right: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      right: 0;\n      border-left-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      right: var(--#{$prefix}popover-border-width);\n      border-left-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-popover-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-popover-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-popover-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-popover-start;\n  }\n}\n\n// Offset the popover to account for the popover arrow\n.popover-header {\n  padding: var(--#{$prefix}popover-header-padding-y) var(--#{$prefix}popover-header-padding-x);\n  margin-bottom: 0; // Reset the default from Reboot\n  @include font-size(var(--#{$prefix}popover-header-font-size));\n  color: var(--#{$prefix}popover-header-color);\n  background-color: var(--#{$prefix}popover-header-bg);\n  border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-top-radius(var(--#{$prefix}popover-inner-border-radius));\n\n  &:empty {\n    display: none;\n  }\n}\n\n.popover-body {\n  padding: var(--#{$prefix}popover-body-padding-y) var(--#{$prefix}popover-body-padding-x);\n  color: var(--#{$prefix}popover-body-color);\n}\n","// Notes on the classes:\n//\n// 1. .carousel.pointer-event should ideally be pan-y (to allow for users to scroll vertically)\n//    even when their scroll action started on a carousel, but for compatibility (with Firefox)\n//    we're preventing all actions instead\n// 2. The .carousel-item-start and .carousel-item-end is used to indicate where\n//    the active slide is heading.\n// 3. .active.carousel-item is the current slide.\n// 4. .active.carousel-item-start and .active.carousel-item-end is the current\n//    slide in its in-transition state. Only one of these occurs at a time.\n// 5. .carousel-item-next.carousel-item-start and .carousel-item-prev.carousel-item-end\n//    is the upcoming slide in transition.\n\n.carousel {\n  position: relative;\n}\n\n.carousel.pointer-event {\n  touch-action: pan-y;\n}\n\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n  @include clearfix();\n}\n\n.carousel-item {\n  position: relative;\n  display: none;\n  float: left;\n  width: 100%;\n  margin-right: -100%;\n  backface-visibility: hidden;\n  @include transition($carousel-transition);\n}\n\n.carousel-item.active,\n.carousel-item-next,\n.carousel-item-prev {\n  display: block;\n}\n\n.carousel-item-next:not(.carousel-item-start),\n.active.carousel-item-end {\n  transform: translateX(100%);\n}\n\n.carousel-item-prev:not(.carousel-item-end),\n.active.carousel-item-start {\n  transform: translateX(-100%);\n}\n\n\n//\n// Alternate transitions\n//\n\n.carousel-fade {\n  .carousel-item {\n    opacity: 0;\n    transition-property: opacity;\n    transform: none;\n  }\n\n  .carousel-item.active,\n  .carousel-item-next.carousel-item-start,\n  .carousel-item-prev.carousel-item-end {\n    z-index: 1;\n    opacity: 1;\n  }\n\n  .active.carousel-item-start,\n  .active.carousel-item-end {\n    z-index: 0;\n    opacity: 0;\n    @include transition(opacity 0s $carousel-transition-duration);\n  }\n}\n\n\n//\n// Left/right controls for nav\n//\n\n.carousel-control-prev,\n.carousel-control-next {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  z-index: 1;\n  // Use flex for alignment (1-3)\n  display: flex; // 1. allow flex styles\n  align-items: center; // 2. vertically center contents\n  justify-content: center; // 3. horizontally center contents\n  width: $carousel-control-width;\n  padding: 0;\n  color: $carousel-control-color;\n  text-align: center;\n  background: none;\n  border: 0;\n  opacity: $carousel-control-opacity;\n  @include transition($carousel-control-transition);\n\n  // Hover/focus state\n  &:hover,\n  &:focus {\n    color: $carousel-control-color;\n    text-decoration: none;\n    outline: 0;\n    opacity: $carousel-control-hover-opacity;\n  }\n}\n.carousel-control-prev {\n  left: 0;\n  background-image: if($enable-gradients, linear-gradient(90deg, rgba($black, .25), rgba($black, .001)), null);\n}\n.carousel-control-next {\n  right: 0;\n  background-image: if($enable-gradients, linear-gradient(270deg, rgba($black, .25), rgba($black, .001)), null);\n}\n\n// Icons for within\n.carousel-control-prev-icon,\n.carousel-control-next-icon {\n  display: inline-block;\n  width: $carousel-control-icon-width;\n  height: $carousel-control-icon-width;\n  background-repeat: no-repeat;\n  background-position: 50%;\n  background-size: 100% 100%;\n}\n\n.carousel-control-prev-icon {\n  background-image: escape-svg($carousel-control-prev-icon-bg) #{\"/*rtl:\" + escape-svg($carousel-control-next-icon-bg) + \"*/\"};\n}\n.carousel-control-next-icon {\n  background-image: escape-svg($carousel-control-next-icon-bg) #{\"/*rtl:\" + escape-svg($carousel-control-prev-icon-bg) + \"*/\"};\n}\n\n// Optional indicator pips/controls\n//\n// Add a container (such as a list) with the following class and add an item (ideally a focusable control,\n// like a button) with data-bs-target for each slide your carousel holds.\n\n.carousel-indicators {\n  position: absolute;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 2;\n  display: flex;\n  justify-content: center;\n  padding: 0;\n  // Use the .carousel-control's width as margin so we don't overlay those\n  margin-right: $carousel-control-width;\n  margin-bottom: 1rem;\n  margin-left: $carousel-control-width;\n\n  [data-bs-target] {\n    box-sizing: content-box;\n    flex: 0 1 auto;\n    width: $carousel-indicator-width;\n    height: $carousel-indicator-height;\n    padding: 0;\n    margin-right: $carousel-indicator-spacer;\n    margin-left: $carousel-indicator-spacer;\n    text-indent: -999px;\n    cursor: pointer;\n    background-color: $carousel-indicator-active-bg;\n    background-clip: padding-box;\n    border: 0;\n    // Use transparent borders to increase the hit area by 10px on top and bottom.\n    border-top: $carousel-indicator-hit-area-height solid transparent;\n    border-bottom: $carousel-indicator-hit-area-height solid transparent;\n    opacity: $carousel-indicator-opacity;\n    @include transition($carousel-indicator-transition);\n  }\n\n  .active {\n    opacity: $carousel-indicator-active-opacity;\n  }\n}\n\n\n// Optional captions\n//\n//\n\n.carousel-caption {\n  position: absolute;\n  right: (100% - $carousel-caption-width) * .5;\n  bottom: $carousel-caption-spacer;\n  left: (100% - $carousel-caption-width) * .5;\n  padding-top: $carousel-caption-padding-y;\n  padding-bottom: $carousel-caption-padding-y;\n  color: $carousel-caption-color;\n  text-align: center;\n}\n\n// Dark mode carousel\n\n@mixin carousel-dark() {\n  .carousel-control-prev-icon,\n  .carousel-control-next-icon {\n    filter: $carousel-dark-control-icon-filter;\n  }\n\n  .carousel-indicators [data-bs-target] {\n    background-color: $carousel-dark-indicator-active-bg;\n  }\n\n  .carousel-caption {\n    color: $carousel-dark-caption-color;\n  }\n}\n\n.carousel-dark {\n  @include carousel-dark();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    @if $color-mode-type == \"media-query\" {\n      .carousel {\n        @include carousel-dark();\n      }\n    } @else {\n      .carousel,\n      &.carousel {\n        @include carousel-dark();\n      }\n    }\n  }\n}\n","// scss-docs-start clearfix\n@mixin clearfix() {\n  &::after {\n    display: block;\n    clear: both;\n    content: \"\";\n  }\n}\n// scss-docs-end clearfix\n","//\n// Rotating border\n//\n\n.spinner-grow,\n.spinner-border {\n  display: inline-block;\n  width: var(--#{$prefix}spinner-width);\n  height: var(--#{$prefix}spinner-height);\n  vertical-align: var(--#{$prefix}spinner-vertical-align);\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 50%;\n  animation: var(--#{$prefix}spinner-animation-speed) linear infinite var(--#{$prefix}spinner-animation-name);\n}\n\n// scss-docs-start spinner-border-keyframes\n@keyframes spinner-border {\n  to { transform: rotate(360deg) #{\"/* rtl:ignore */\"}; }\n}\n// scss-docs-end spinner-border-keyframes\n\n.spinner-border {\n  // scss-docs-start spinner-border-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-border;\n  // scss-docs-end spinner-border-css-vars\n\n  border: var(--#{$prefix}spinner-border-width) solid currentcolor;\n  border-right-color: transparent;\n}\n\n.spinner-border-sm {\n  // scss-docs-start spinner-border-sm-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width-sm};\n  // scss-docs-end spinner-border-sm-css-vars\n}\n\n//\n// Growing circle\n//\n\n// scss-docs-start spinner-grow-keyframes\n@keyframes spinner-grow {\n  0% {\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    transform: none;\n  }\n}\n// scss-docs-end spinner-grow-keyframes\n\n.spinner-grow {\n  // scss-docs-start spinner-grow-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-grow;\n  // scss-docs-end spinner-grow-css-vars\n\n  background-color: currentcolor;\n  opacity: 0;\n}\n\n.spinner-grow-sm {\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n}\n\n@if $enable-reduced-motion {\n  @media (prefers-reduced-motion: reduce) {\n    .spinner-border,\n    .spinner-grow {\n      --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed * 2};\n    }\n  }\n}\n","// stylelint-disable function-disallowed-list\n\n%offcanvas-css-vars {\n  // scss-docs-start offcanvas-css-vars\n  --#{$prefix}offcanvas-zindex: #{$zindex-offcanvas};\n  --#{$prefix}offcanvas-width: #{$offcanvas-horizontal-width};\n  --#{$prefix}offcanvas-height: #{$offcanvas-vertical-height};\n  --#{$prefix}offcanvas-padding-x: #{$offcanvas-padding-x};\n  --#{$prefix}offcanvas-padding-y: #{$offcanvas-padding-y};\n  --#{$prefix}offcanvas-color: #{$offcanvas-color};\n  --#{$prefix}offcanvas-bg: #{$offcanvas-bg-color};\n  --#{$prefix}offcanvas-border-width: #{$offcanvas-border-width};\n  --#{$prefix}offcanvas-border-color: #{$offcanvas-border-color};\n  --#{$prefix}offcanvas-box-shadow: #{$offcanvas-box-shadow};\n  --#{$prefix}offcanvas-transition: #{transform $offcanvas-transition-duration ease-in-out};\n  --#{$prefix}offcanvas-title-line-height: #{$offcanvas-title-line-height};\n  // scss-docs-end offcanvas-css-vars\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @extend %offcanvas-css-vars;\n  }\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @include media-breakpoint-down($next) {\n      position: fixed;\n      bottom: 0;\n      z-index: var(--#{$prefix}offcanvas-zindex);\n      display: flex;\n      flex-direction: column;\n      max-width: 100%;\n      color: var(--#{$prefix}offcanvas-color);\n      visibility: hidden;\n      background-color: var(--#{$prefix}offcanvas-bg);\n      background-clip: padding-box;\n      outline: 0;\n      @include box-shadow(var(--#{$prefix}offcanvas-box-shadow));\n      @include transition(var(--#{$prefix}offcanvas-transition));\n\n      &.offcanvas-start {\n        top: 0;\n        left: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-right: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(-100%);\n      }\n\n      &.offcanvas-end {\n        top: 0;\n        right: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-left: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(100%);\n      }\n\n      &.offcanvas-top {\n        top: 0;\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-bottom: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(-100%);\n      }\n\n      &.offcanvas-bottom {\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-top: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(100%);\n      }\n\n      &.showing,\n      &.show:not(.hiding) {\n        transform: none;\n      }\n\n      &.showing,\n      &.hiding,\n      &.show {\n        visibility: visible;\n      }\n    }\n\n    @if not ($infix == \"\") {\n      @include media-breakpoint-up($next) {\n        --#{$prefix}offcanvas-height: auto;\n        --#{$prefix}offcanvas-border-width: 0;\n        background-color: transparent !important; // stylelint-disable-line declaration-no-important\n\n        .offcanvas-header {\n          display: none;\n        }\n\n        .offcanvas-body {\n          display: flex;\n          flex-grow: 0;\n          padding: 0;\n          overflow-y: visible;\n          // Reset `background-color` in case `.bg-*` classes are used in offcanvas\n          background-color: transparent !important; // stylelint-disable-line declaration-no-important\n        }\n      }\n    }\n  }\n}\n\n.offcanvas-backdrop {\n  @include overlay-backdrop($zindex-offcanvas-backdrop, $offcanvas-backdrop-bg, $offcanvas-backdrop-opacity);\n}\n\n.offcanvas-header {\n  display: flex;\n  align-items: center;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}offcanvas-padding-y) * .5) calc(var(--#{$prefix}offcanvas-padding-x) * .5);\n    margin: calc(-.5 * var(--#{$prefix}offcanvas-padding-y)) calc(-.5 * var(--#{$prefix}offcanvas-padding-x)) calc(-.5 * var(--#{$prefix}offcanvas-padding-y)) auto;\n  }\n}\n\n.offcanvas-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}offcanvas-title-line-height);\n}\n\n.offcanvas-body {\n  flex-grow: 1;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n  overflow-y: auto;\n}\n",".placeholder {\n  display: inline-block;\n  min-height: 1em;\n  vertical-align: middle;\n  cursor: wait;\n  background-color: currentcolor;\n  opacity: $placeholder-opacity-max;\n\n  &.btn::before {\n    display: inline-block;\n    content: \"\";\n  }\n}\n\n// Sizing\n.placeholder-xs {\n  min-height: .6em;\n}\n\n.placeholder-sm {\n  min-height: .8em;\n}\n\n.placeholder-lg {\n  min-height: 1.2em;\n}\n\n// Animation\n.placeholder-glow {\n  .placeholder {\n    animation: placeholder-glow 2s ease-in-out infinite;\n  }\n}\n\n@keyframes placeholder-glow {\n  50% {\n    opacity: $placeholder-opacity-min;\n  }\n}\n\n.placeholder-wave {\n  mask-image: linear-gradient(130deg, $black 55%, rgba(0, 0, 0, (1 - $placeholder-opacity-min)) 75%, $black 95%);\n  mask-size: 200% 100%;\n  animation: placeholder-wave 2s linear infinite;\n}\n\n@keyframes placeholder-wave {\n  100% {\n    mask-position: -200% 0%;\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .text-bg-#{$color} {\n    color: color-contrast($value) if($enable-important-utilities, !important, null);\n    background-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}bg-opacity, 1)) if($enable-important-utilities, !important, null);\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .link-#{$color} {\n    color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n    text-decoration-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n    @if $link-shade-percentage != 0 {\n      &:hover,\n      &:focus {\n        $hover-color: if(color-contrast($value) == $color-contrast-light, shade-color($value, $link-shade-percentage), tint-color($value, $link-shade-percentage));\n        color: RGBA(#{to-rgb($hover-color)}, var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n        text-decoration-color: RGBA(to-rgb($hover-color), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n      }\n    }\n  }\n}\n\n// One-off special link helper as a bridge until v6\n.link-body-emphasis {\n  color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n  text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n  @if $link-shade-percentage != 0 {\n    &:hover,\n    &:focus {\n      color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, .75)) if($enable-important-utilities, !important, null);\n      text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, .75)) if($enable-important-utilities, !important, null);\n    }\n  }\n}\n",".focus-ring:focus {\n  outline: 0;\n  // By default, there is no `--bs-focus-ring-x`, `--bs-focus-ring-y`, or `--bs-focus-ring-blur`, but we provide CSS variables with fallbacks to initial `0` values\n  box-shadow: var(--#{$prefix}focus-ring-x, 0) var(--#{$prefix}focus-ring-y, 0) var(--#{$prefix}focus-ring-blur, 0) var(--#{$prefix}focus-ring-width) var(--#{$prefix}focus-ring-color);\n}\n",".icon-link {\n  display: inline-flex;\n  gap: $icon-link-gap;\n  align-items: center;\n  text-decoration-color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, .5));\n  text-underline-offset: $icon-link-underline-offset;\n  backface-visibility: hidden;\n\n  > .bi {\n    flex-shrink: 0;\n    width: $icon-link-icon-size;\n    height: $icon-link-icon-size;\n    fill: currentcolor;\n    @include transition($icon-link-icon-transition);\n  }\n}\n\n.icon-link-hover {\n  &:hover,\n  &:focus-visible {\n    > .bi {\n      transform: var(--#{$prefix}icon-link-transform, $icon-link-icon-transform);\n    }\n  }\n}\n","// Credit: Nicolas Gallagher and SUIT CSS.\n\n.ratio {\n  position: relative;\n  width: 100%;\n\n  &::before {\n    display: block;\n    padding-top: var(--#{$prefix}aspect-ratio);\n    content: \"\";\n  }\n\n  > * {\n    position: absolute;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n  }\n}\n\n@each $key, $ratio in $aspect-ratios {\n  .ratio-#{$key} {\n    --#{$prefix}aspect-ratio: #{$ratio};\n  }\n}\n","// Shorthand\n\n.fixed-top {\n  position: fixed;\n  top: 0;\n  right: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n.fixed-bottom {\n  position: fixed;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n// Responsive sticky top and bottom\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .sticky#{$infix}-top {\n      position: sticky;\n      top: 0;\n      z-index: $zindex-sticky;\n    }\n\n    .sticky#{$infix}-bottom {\n      position: sticky;\n      bottom: 0;\n      z-index: $zindex-sticky;\n    }\n  }\n}\n","// scss-docs-start stacks\n.hstack {\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n  align-self: stretch;\n}\n\n.vstack {\n  display: flex;\n  flex: 1 1 auto;\n  flex-direction: column;\n  align-self: stretch;\n}\n// scss-docs-end stacks\n","//\n// Visually hidden\n//\n\n.visually-hidden,\n.visually-hidden-focusable:not(:focus):not(:focus-within) {\n  @include visually-hidden();\n}\n","// stylelint-disable declaration-no-important\n\n// Hide content visually while keeping it accessible to assistive technologies\n//\n// See: https://www.a11yproject.com/posts/2013-01-11-how-to-hide-content/\n// See: https://kittygiraudel.com/2016/10/13/css-hide-and-seek/\n\n@mixin visually-hidden() {\n  width: 1px !important;\n  height: 1px !important;\n  padding: 0 !important;\n  margin: -1px !important; // Fix for https://github.com/twbs/bootstrap/issues/25686\n  overflow: hidden !important;\n  clip: rect(0, 0, 0, 0) !important;\n  white-space: nowrap !important;\n  border: 0 !important;\n\n  // Fix for positioned table caption that could become anonymous cells\n  &:not(caption) {\n    position: absolute !important;\n  }\n}\n\n// Use to only display content when it's focused, or one of its child elements is focused\n// (i.e. when focus is within the element/container that the class was applied to)\n//\n// Useful for \"Skip to main content\" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1\n\n@mixin visually-hidden-focusable() {\n  &:not(:focus):not(:focus-within) {\n    @include visually-hidden();\n  }\n}\n","//\n// Stretched link\n//\n\n.stretched-link {\n  &::#{$stretched-link-pseudo-element} {\n    position: absolute;\n    top: 0;\n    right: 0;\n    bottom: 0;\n    left: 0;\n    z-index: $stretched-link-z-index;\n    content: \"\";\n  }\n}\n","//\n// Text truncation\n//\n\n.text-truncate {\n  @include text-truncate();\n}\n","// Text truncate\n// Requires inline-block or block for proper styling\n\n@mixin text-truncate() {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n",".vr {\n  display: inline-block;\n  align-self: stretch;\n  width: $vr-border-width;\n  min-height: 1em;\n  background-color: currentcolor;\n  opacity: $hr-opacity;\n}\n","// Utility generator\n// Used to generate utilities & print utilities\n@mixin generate-utility($utility, $infix: \"\", $is-rfs-media-query: false) {\n  $values: map-get($utility, values);\n\n  // If the values are a list or string, convert it into a map\n  @if type-of($values) == \"string\" or type-of(nth($values, 1)) != \"list\" {\n    $values: zip($values, $values);\n  }\n\n  @each $key, $value in $values {\n    $properties: map-get($utility, property);\n\n    // Multiple properties are possible, for example with vertical or horizontal margins or paddings\n    @if type-of($properties) == \"string\" {\n      $properties: append((), $properties);\n    }\n\n    // Use custom class if present\n    $property-class: if(map-has-key($utility, class), map-get($utility, class), nth($properties, 1));\n    $property-class: if($property-class == null, \"\", $property-class);\n\n    // Use custom CSS variable name if present, otherwise default to `class`\n    $css-variable-name: if(map-has-key($utility, css-variable-name), map-get($utility, css-variable-name), map-get($utility, class));\n\n    // State params to generate pseudo-classes\n    $state: if(map-has-key($utility, state), map-get($utility, state), ());\n\n    $infix: if($property-class == \"\" and str-slice($infix, 1, 1) == \"-\", str-slice($infix, 2), $infix);\n\n    // Don't prefix if value key is null (e.g. with shadow class)\n    $property-class-modifier: if($key, if($property-class == \"\" and $infix == \"\", \"\", \"-\") + $key, \"\");\n\n    @if map-get($utility, rfs) {\n      // Inside the media query\n      @if $is-rfs-media-query {\n        $val: rfs-value($value);\n\n        // Do not render anything if fluid and non fluid values are the same\n        $value: if($val == rfs-fluid-value($value), null, $val);\n      }\n      @else {\n        $value: rfs-fluid-value($value);\n      }\n    }\n\n    $is-css-var: map-get($utility, css-var);\n    $is-local-vars: map-get($utility, local-vars);\n    $is-rtl: map-get($utility, rtl);\n\n    @if $value != null {\n      @if $is-rtl == false {\n        /* rtl:begin:remove */\n      }\n\n      @if $is-css-var {\n        .#{$property-class + $infix + $property-class-modifier} {\n          --#{$prefix}#{$css-variable-name}: #{$value};\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            --#{$prefix}#{$css-variable-name}: #{$value};\n          }\n        }\n      } @else {\n        .#{$property-class + $infix + $property-class-modifier} {\n          @each $property in $properties {\n            @if $is-local-vars {\n              @each $local-var, $variable in $is-local-vars {\n                --#{$prefix}#{$local-var}: #{$variable};\n              }\n            }\n            #{$property}: $value if($enable-important-utilities, !important, null);\n          }\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            @each $property in $properties {\n              @if $is-local-vars {\n                @each $local-var, $variable in $is-local-vars {\n                  --#{$prefix}#{$local-var}: #{$variable};\n                }\n              }\n              #{$property}: $value if($enable-important-utilities, !important, null);\n            }\n          }\n        }\n      }\n\n      @if $is-rtl == false {\n        /* rtl:end:remove */\n      }\n    }\n  }\n}\n","// Loop over each breakpoint\n@each $breakpoint in map-keys($grid-breakpoints) {\n\n  // Generate media query if needed\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    // Loop over each utility property\n    @each $key, $utility in $utilities {\n      // The utility can be disabled with `false`, thus check if the utility is a map first\n      // Only proceed if responsive media queries are enabled or if it's the base media query\n      @if type-of($utility) == \"map\" and (map-get($utility, responsive) or $infix == \"\") {\n        @include generate-utility($utility, $infix);\n      }\n    }\n  }\n}\n\n// RFS rescaling\n@media (min-width: $rfs-mq-value) {\n  @each $breakpoint in map-keys($grid-breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    @if (map-get($grid-breakpoints, $breakpoint) < $rfs-breakpoint) {\n      // Loop over each utility property\n      @each $key, $utility in $utilities {\n        // The utility can be disabled with `false`, thus check if the utility is a map first\n        // Only proceed if responsive media queries are enabled or if it's the base media query\n        @if type-of($utility) == \"map\" and map-get($utility, rfs) and (map-get($utility, responsive) or $infix == \"\") {\n          @include generate-utility($utility, $infix, true);\n        }\n      }\n    }\n  }\n}\n\n\n// Print utilities\n@media print {\n  @each $key, $utility in $utilities {\n    // The utility can be disabled with `false`, thus check if the utility is a map first\n    // Then check if the utility needs print styles\n    @if type-of($utility) == \"map\" and map-get($utility, print) == true {\n      @include generate-utility($utility, \"-print\");\n    }\n  }\n}\n","/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n// Font Awesome core compile (Web Fonts-based)\n// -------------------------\n\n@import 'functions';\n@import 'variables';\n@import 'mixins';\n@import 'core';\n@import 'sizing';\n@import 'fixed-width';\n@import 'list';\n@import 'bordered-pulled';\n@import 'animated';\n@import 'rotated-flipped';\n@import 'stacked';\n@import 'icons';\n@import 'screen-reader';\n","// base icon class definition\n// -------------------------\n\n.#{$fa-css-prefix} {\n  font-family: var(--#{$fa-css-prefix}-style-family, '#{$fa-style-family}');\n  font-weight: var(--#{$fa-css-prefix}-style, #{$fa-style});\n}\n\n.#{$fa-css-prefix},\n.#{$fa-css-prefix}-classic,\n.#{$fa-css-prefix}-sharp,\n.fas,\n.#{$fa-css-prefix}-solid,\n.far,\n.#{$fa-css-prefix}-regular,\n.fab,\n.#{$fa-css-prefix}-brands {\n  -moz-osx-font-smoothing: grayscale;\n  -webkit-font-smoothing: antialiased;\n  display: var(--#{$fa-css-prefix}-display, #{$fa-display});\n  font-style: normal;\n  font-variant: normal;\n  line-height: 1;\n  text-rendering: auto;\n}\n\n.fas,\n.#{$fa-css-prefix}-classic,\n.#{$fa-css-prefix}-solid,\n.far,\n.#{$fa-css-prefix}-regular {\n  font-family: 'Font Awesome 6 Free';\n}\n\n.fab,\n.#{$fa-css-prefix}-brands {\n  font-family: 'Font Awesome 6 Brands';\n}\n\n\n%fa-icon {\n  @include fa-icon;\n}\n","// sizing icons\n// -------------------------\n\n// literal magnification scale\n@for $i from 1 through 10 {\n  .#{$fa-css-prefix}-#{$i}x {\n    font-size: $i * 1em;\n  }\n}\n\n// step-based scale (with alignment)\n@each $size, $value in $fa-sizes {\n  .#{$fa-css-prefix}-#{$size} {\n     @include fa-size($value);\n  }\n}\n","// mixins\n// --------------------------\n\n// base rendering for an icon\n@mixin fa-icon {\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n  display: inline-block;\n  font-style: normal;\n  font-variant: normal;\n  font-weight: normal;\n  line-height: 1;\n}\n\n// sets relative font-sizing and alignment (in _sizing)\n@mixin fa-size ($font-size) {\n  font-size: fa-divide($font-size, $fa-size-scale-base) * 1em; // converts step in sizing scale into an em-based value that's relative to the scale's base\n  line-height: fa-divide(1, $font-size) * 1em; // sets the line-height of the icon back to that of it's parent\n  vertical-align: (fa-divide(6, $font-size) - fa-divide(3, 8)) * 1em; // vertically centers the icon taking into account the surrounding text's descender\n}\n\n// only display content to screen readers\n// see: https://www.a11yproject.com/posts/2013-01-11-how-to-hide-content/\n// see: https://hugogiraudel.com/2016/10/13/css-hide-and-seek/\n@mixin fa-sr-only() {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  white-space: nowrap;\n  border-width: 0;\n}\n\n// use in conjunction with .sr-only to only display content when it's focused\n@mixin fa-sr-only-focusable() {\n  &:not(:focus) {\n    @include fa-sr-only();\n  }\n}\n\n// sets a specific icon family to use alongside style + icon mixins\n\n// convenience mixins for declaring pseudo-elements by CSS variable,\n// including all style-specific font properties, and both the ::before\n// and ::after elements in the duotone case.\n@mixin fa-icon-solid($fa-var) {\n  @extend %fa-icon;\n  @extend .fa-solid;\n\n  &::before {\n    content: unquote(\"\\\"#{ $fa-var }\\\"\");\n  }\n}\n@mixin fa-icon-regular($fa-var) {\n  @extend %fa-icon;\n  @extend .fa-regular;\n\n  &::before {\n    content: unquote(\"\\\"#{ $fa-var }\\\"\");\n  }\n}\n@mixin fa-icon-brands($fa-var) {\n  @extend %fa-icon;\n  @extend .fa-brands;\n\n  &::before {\n    content: unquote(\"\\\"#{ $fa-var }\\\"\");\n  }\n}\n","// fixed-width icons\n// -------------------------\n\n.#{$fa-css-prefix}-fw {\n  text-align: center;\n  width: $fa-fw-width;\n}\n","// icons in a list\n// -------------------------\n\n.#{$fa-css-prefix}-ul {\n  list-style-type: none;\n  margin-left: var(--#{$fa-css-prefix}-li-margin, #{$fa-li-margin});\n  padding-left: 0;\n\n  > li { position: relative; }\n}\n\n.#{$fa-css-prefix}-li {\n  left: calc(var(--#{$fa-css-prefix}-li-width, #{$fa-li-width}) * -1);\n  position: absolute;\n  text-align: center;\n  width: var(--#{$fa-css-prefix}-li-width, #{$fa-li-width});\n  line-height: inherit;\n}\n","// bordered + pulled icons\n// -------------------------\n\n.#{$fa-css-prefix}-border {\n  border-color: var(--#{$fa-css-prefix}-border-color, #{$fa-border-color});\n  border-radius: var(--#{$fa-css-prefix}-border-radius, #{$fa-border-radius});\n  border-style: var(--#{$fa-css-prefix}-border-style, #{$fa-border-style});\n  border-width: var(--#{$fa-css-prefix}-border-width, #{$fa-border-width});\n  padding: var(--#{$fa-css-prefix}-border-padding, #{$fa-border-padding});\n}\n\n.#{$fa-css-prefix}-pull-left {\n  float: left;\n  margin-right: var(--#{$fa-css-prefix}-pull-margin, #{$fa-pull-margin}); \n}\n\n.#{$fa-css-prefix}-pull-right {\n  float: right;\n  margin-left: var(--#{$fa-css-prefix}-pull-margin, #{$fa-pull-margin}); \n}\n","// animating icons\n// --------------------------\n\n.#{$fa-css-prefix}-beat {\n  animation-name: #{$fa-css-prefix}-beat;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, ease-in-out);\n}\n\n.#{$fa-css-prefix}-bounce {\n  animation-name: #{$fa-css-prefix}-bounce;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, cubic-bezier(0.280, 0.840, 0.420, 1));\n}\n\n.#{$fa-css-prefix}-fade {\n  animation-name: #{$fa-css-prefix}-fade;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, cubic-bezier(.4,0,.6,1));\n}\n\n.#{$fa-css-prefix}-beat-fade {\n  animation-name: #{$fa-css-prefix}-beat-fade;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, cubic-bezier(.4,0,.6,1));\n}\n\n.#{$fa-css-prefix}-flip {\n  animation-name: #{$fa-css-prefix}-flip;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, ease-in-out);\n}\n\n.#{$fa-css-prefix}-shake {\n  animation-name: #{$fa-css-prefix}-shake;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, linear);\n}\n\n.#{$fa-css-prefix}-spin {\n  animation-name: #{$fa-css-prefix}-spin;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 2s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, linear);\n}\n\n.#{$fa-css-prefix}-spin-reverse {\n  --#{$fa-css-prefix}-animation-direction: reverse;\n}\n\n.#{$fa-css-prefix}-pulse,\n.#{$fa-css-prefix}-spin-pulse {\n  animation-name: #{$fa-css-prefix}-spin;\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, steps(8));\n}\n\n// if agent or operating system prefers reduced motion, disable animations\n// see: https://www.smashingmagazine.com/2020/09/design-reduced-motion-sensitivities/\n// see: https://developer.mozilla.org/en-US/docs/Web/CSS/@media/prefers-reduced-motion\n@media (prefers-reduced-motion: reduce) {\n  .#{$fa-css-prefix}-beat,\n  .#{$fa-css-prefix}-bounce,\n  .#{$fa-css-prefix}-fade,\n  .#{$fa-css-prefix}-beat-fade,\n  .#{$fa-css-prefix}-flip,\n  .#{$fa-css-prefix}-pulse,\n  .#{$fa-css-prefix}-shake,\n  .#{$fa-css-prefix}-spin,\n  .#{$fa-css-prefix}-spin-pulse {\n    animation-delay: -1ms;\n    animation-duration: 1ms;\n    animation-iteration-count: 1;\n    transition-delay: 0s;\n    transition-duration: 0s;\n  }\n}\n\n@keyframes #{$fa-css-prefix}-beat {\n  0%, 90% { transform: scale(1); }\n  45% { transform: scale(var(--#{$fa-css-prefix}-beat-scale, 1.25)); }\n}\n\n@keyframes #{$fa-css-prefix}-bounce {\n  0%   { transform: scale(1,1) translateY(0); }\n  10%  { transform: scale(var(--#{$fa-css-prefix}-bounce-start-scale-x, 1.1),var(--#{$fa-css-prefix}-bounce-start-scale-y, 0.9)) translateY(0); }\n  30%  { transform: scale(var(--#{$fa-css-prefix}-bounce-jump-scale-x, 0.9),var(--#{$fa-css-prefix}-bounce-jump-scale-y, 1.1)) translateY(var(--#{$fa-css-prefix}-bounce-height, -0.5em)); }\n  50%  { transform: scale(var(--#{$fa-css-prefix}-bounce-land-scale-x, 1.05),var(--#{$fa-css-prefix}-bounce-land-scale-y, 0.95)) translateY(0); }\n  57%  { transform: scale(1,1) translateY(var(--#{$fa-css-prefix}-bounce-rebound, -0.125em)); }\n  64%  { transform: scale(1,1) translateY(0); }\n  100% { transform: scale(1,1) translateY(0); }\n}\n\n@keyframes #{$fa-css-prefix}-fade {\n  50% { opacity: var(--#{$fa-css-prefix}-fade-opacity, 0.4); }\n}\n\n@keyframes #{$fa-css-prefix}-beat-fade {\n  0%, 100% {\n    opacity: var(--#{$fa-css-prefix}-beat-fade-opacity, 0.4);\n    transform: scale(1);\n  }\n  50% {\n    opacity: 1;\n    transform: scale(var(--#{$fa-css-prefix}-beat-fade-scale, 1.125));\n  }\n}\n\n@keyframes #{$fa-css-prefix}-flip {\n  50% {\n    transform: rotate3d(var(--#{$fa-css-prefix}-flip-x, 0), var(--#{$fa-css-prefix}-flip-y, 1), var(--#{$fa-css-prefix}-flip-z, 0), var(--#{$fa-css-prefix}-flip-angle, -180deg));\n  }\n}\n\n@keyframes #{$fa-css-prefix}-shake {\n  0% { transform: rotate(-15deg); }\n  4% { transform: rotate(15deg); }\n  8%, 24% { transform: rotate(-18deg); }\n  12%, 28% { transform: rotate(18deg); }\n  16% { transform: rotate(-22deg); }\n  20% { transform: rotate(22deg); }\n  32% { transform: rotate(-12deg); }\n  36% { transform: rotate(12deg); }\n  40%, 100% { transform: rotate(0deg); }\n}\n\n@keyframes #{$fa-css-prefix}-spin {\n  0% { transform: rotate(0deg); }\n  100% { transform: rotate(360deg); }\n}\n","// rotating + flipping icons\n// -------------------------\n\n.#{$fa-css-prefix}-rotate-90 {\n  transform: rotate(90deg);\n}\n\n.#{$fa-css-prefix}-rotate-180 {\n  transform: rotate(180deg);\n}\n\n.#{$fa-css-prefix}-rotate-270 {\n  transform: rotate(270deg);\n}\n\n.#{$fa-css-prefix}-flip-horizontal {\n  transform: scale(-1, 1);\n}\n\n.#{$fa-css-prefix}-flip-vertical {\n  transform: scale(1, -1);\n}\n\n.#{$fa-css-prefix}-flip-both,\n.#{$fa-css-prefix}-flip-horizontal.#{$fa-css-prefix}-flip-vertical {\n  transform: scale(-1, -1);\n}\n\n.#{$fa-css-prefix}-rotate-by {\n  transform: rotate(var(--#{$fa-css-prefix}-rotate-angle, 0));\n}\n","// stacking icons\n// -------------------------\n\n.#{$fa-css-prefix}-stack {\n  display: inline-block;\n  height: 2em;\n  line-height: 2em;\n  position: relative;\n  vertical-align: $fa-stack-vertical-align;\n  width: $fa-stack-width;\n}\n\n.#{$fa-css-prefix}-stack-1x,\n.#{$fa-css-prefix}-stack-2x {\n  left: 0;\n  position: absolute;\n  text-align: center;\n  width: 100%;\n  z-index: var(--#{$fa-css-prefix}-stack-z-index, #{$fa-stack-z-index});\n}\n\n.#{$fa-css-prefix}-stack-1x {\n  line-height: inherit;\n}\n\n.#{$fa-css-prefix}-stack-2x {\n  font-size: 2em;\n}\n\n.#{$fa-css-prefix}-inverse {\n  color: var(--#{$fa-css-prefix}-inverse, #{$fa-inverse});\n}\n","// variables\n// --------------------------\n\n$fa-css-prefix          : fa !default;\n$fa-style               : 900 !default;\n$fa-style-family        : \"Font Awesome 6 Free\" !default;\n\n$fa-display             : inline-block !default;\n\n$fa-fw-width            : fa-divide(20em, 16) !default;\n$fa-inverse             : #fff !default;\n\n$fa-border-color        : #eee !default;\n$fa-border-padding      : .2em .25em .15em !default;\n$fa-border-radius       : .1em !default;\n$fa-border-style        : solid !default;\n$fa-border-width        : .08em !default;\n\n$fa-size-scale-2xs      : 10 !default;\n$fa-size-scale-xs       : 12 !default;\n$fa-size-scale-sm       : 14 !default;\n$fa-size-scale-base     : 16 !default;\n$fa-size-scale-lg       : 20 !default;\n$fa-size-scale-xl       : 24 !default;\n$fa-size-scale-2xl      : 32 !default;\n\n$fa-sizes: (\n  \"2xs\"                 : $fa-size-scale-2xs,\n  \"xs\"                  : $fa-size-scale-xs,\n  \"sm\"                  : $fa-size-scale-sm,\n  \"lg\"                  : $fa-size-scale-lg,\n  \"xl\"                  : $fa-size-scale-xl,\n  \"2xl\"                 : $fa-size-scale-2xl\n) !default;\n\n$fa-li-width            : 2em !default;\n$fa-li-margin           : $fa-li-width * fa-divide(5, 4) !default;\n\n$fa-pull-margin         : .3em !default;\n\n$fa-primary-opacity     : 1 !default;\n$fa-secondary-opacity   : .4 !default;\n\n$fa-stack-vertical-align: middle !default;\n$fa-stack-width         : ($fa-fw-width * 2) !default;\n$fa-stack-z-index       : auto !default;\n\n$fa-font-display        : block !default;\n$fa-font-path           : \"../webfonts\" !default;\n\n$fa-var-0: \\30;\n$fa-var-1: \\31;\n$fa-var-2: \\32;\n$fa-var-3: \\33;\n$fa-var-4: \\34;\n$fa-var-5: \\35;\n$fa-var-6: \\36;\n$fa-var-7: \\37;\n$fa-var-8: \\38;\n$fa-var-9: \\39;\n$fa-var-fill-drip: \\f576;\n$fa-var-arrows-to-circle: \\e4bd;\n$fa-var-circle-chevron-right: \\f138;\n$fa-var-chevron-circle-right: \\f138;\n$fa-var-at: \\40;\n$fa-var-trash-can: \\f2ed;\n$fa-var-trash-alt: \\f2ed;\n$fa-var-text-height: \\f034;\n$fa-var-user-xmark: \\f235;\n$fa-var-user-times: \\f235;\n$fa-var-stethoscope: \\f0f1;\n$fa-var-message: \\f27a;\n$fa-var-comment-alt: \\f27a;\n$fa-var-info: \\f129;\n$fa-var-down-left-and-up-right-to-center: \\f422;\n$fa-var-compress-alt: \\f422;\n$fa-var-explosion: \\e4e9;\n$fa-var-file-lines: \\f15c;\n$fa-var-file-alt: \\f15c;\n$fa-var-file-text: \\f15c;\n$fa-var-wave-square: \\f83e;\n$fa-var-ring: \\f70b;\n$fa-var-building-un: \\e4d9;\n$fa-var-dice-three: \\f527;\n$fa-var-calendar-days: \\f073;\n$fa-var-calendar-alt: \\f073;\n$fa-var-anchor-circle-check: \\e4aa;\n$fa-var-building-circle-arrow-right: \\e4d1;\n$fa-var-volleyball: \\f45f;\n$fa-var-volleyball-ball: \\f45f;\n$fa-var-arrows-up-to-line: \\e4c2;\n$fa-var-sort-down: \\f0dd;\n$fa-var-sort-desc: \\f0dd;\n$fa-var-circle-minus: \\f056;\n$fa-var-minus-circle: \\f056;\n$fa-var-door-open: \\f52b;\n$fa-var-right-from-bracket: \\f2f5;\n$fa-var-sign-out-alt: \\f2f5;\n$fa-var-atom: \\f5d2;\n$fa-var-soap: \\e06e;\n$fa-var-icons: \\f86d;\n$fa-var-heart-music-camera-bolt: \\f86d;\n$fa-var-microphone-lines-slash: \\f539;\n$fa-var-microphone-alt-slash: \\f539;\n$fa-var-bridge-circle-check: \\e4c9;\n$fa-var-pump-medical: \\e06a;\n$fa-var-fingerprint: \\f577;\n$fa-var-hand-point-right: \\f0a4;\n$fa-var-magnifying-glass-location: \\f689;\n$fa-var-search-location: \\f689;\n$fa-var-forward-step: \\f051;\n$fa-var-step-forward: \\f051;\n$fa-var-face-smile-beam: \\f5b8;\n$fa-var-smile-beam: \\f5b8;\n$fa-var-flag-checkered: \\f11e;\n$fa-var-football: \\f44e;\n$fa-var-football-ball: \\f44e;\n$fa-var-school-circle-exclamation: \\e56c;\n$fa-var-crop: \\f125;\n$fa-var-angles-down: \\f103;\n$fa-var-angle-double-down: \\f103;\n$fa-var-users-rectangle: \\e594;\n$fa-var-people-roof: \\e537;\n$fa-var-people-line: \\e534;\n$fa-var-beer-mug-empty: \\f0fc;\n$fa-var-beer: \\f0fc;\n$fa-var-diagram-predecessor: \\e477;\n$fa-var-arrow-up-long: \\f176;\n$fa-var-long-arrow-up: \\f176;\n$fa-var-fire-flame-simple: \\f46a;\n$fa-var-burn: \\f46a;\n$fa-var-person: \\f183;\n$fa-var-male: \\f183;\n$fa-var-laptop: \\f109;\n$fa-var-file-csv: \\f6dd;\n$fa-var-menorah: \\f676;\n$fa-var-truck-plane: \\e58f;\n$fa-var-record-vinyl: \\f8d9;\n$fa-var-face-grin-stars: \\f587;\n$fa-var-grin-stars: \\f587;\n$fa-var-bong: \\f55c;\n$fa-var-spaghetti-monster-flying: \\f67b;\n$fa-var-pastafarianism: \\f67b;\n$fa-var-arrow-down-up-across-line: \\e4af;\n$fa-var-spoon: \\f2e5;\n$fa-var-utensil-spoon: \\f2e5;\n$fa-var-jar-wheat: \\e517;\n$fa-var-envelopes-bulk: \\f674;\n$fa-var-mail-bulk: \\f674;\n$fa-var-file-circle-exclamation: \\e4eb;\n$fa-var-circle-h: \\f47e;\n$fa-var-hospital-symbol: \\f47e;\n$fa-var-pager: \\f815;\n$fa-var-address-book: \\f2b9;\n$fa-var-contact-book: \\f2b9;\n$fa-var-strikethrough: \\f0cc;\n$fa-var-k: \\4b;\n$fa-var-landmark-flag: \\e51c;\n$fa-var-pencil: \\f303;\n$fa-var-pencil-alt: \\f303;\n$fa-var-backward: \\f04a;\n$fa-var-caret-right: \\f0da;\n$fa-var-comments: \\f086;\n$fa-var-paste: \\f0ea;\n$fa-var-file-clipboard: \\f0ea;\n$fa-var-code-pull-request: \\e13c;\n$fa-var-clipboard-list: \\f46d;\n$fa-var-truck-ramp-box: \\f4de;\n$fa-var-truck-loading: \\f4de;\n$fa-var-user-check: \\f4fc;\n$fa-var-vial-virus: \\e597;\n$fa-var-sheet-plastic: \\e571;\n$fa-var-blog: \\f781;\n$fa-var-user-ninja: \\f504;\n$fa-var-person-arrow-up-from-line: \\e539;\n$fa-var-scroll-torah: \\f6a0;\n$fa-var-torah: \\f6a0;\n$fa-var-broom-ball: \\f458;\n$fa-var-quidditch: \\f458;\n$fa-var-quidditch-broom-ball: \\f458;\n$fa-var-toggle-off: \\f204;\n$fa-var-box-archive: \\f187;\n$fa-var-archive: \\f187;\n$fa-var-person-drowning: \\e545;\n$fa-var-arrow-down-9-1: \\f886;\n$fa-var-sort-numeric-desc: \\f886;\n$fa-var-sort-numeric-down-alt: \\f886;\n$fa-var-face-grin-tongue-squint: \\f58a;\n$fa-var-grin-tongue-squint: \\f58a;\n$fa-var-spray-can: \\f5bd;\n$fa-var-truck-monster: \\f63b;\n$fa-var-w: \\57;\n$fa-var-earth-africa: \\f57c;\n$fa-var-globe-africa: \\f57c;\n$fa-var-rainbow: \\f75b;\n$fa-var-circle-notch: \\f1ce;\n$fa-var-tablet-screen-button: \\f3fa;\n$fa-var-tablet-alt: \\f3fa;\n$fa-var-paw: \\f1b0;\n$fa-var-cloud: \\f0c2;\n$fa-var-trowel-bricks: \\e58a;\n$fa-var-face-flushed: \\f579;\n$fa-var-flushed: \\f579;\n$fa-var-hospital-user: \\f80d;\n$fa-var-tent-arrow-left-right: \\e57f;\n$fa-var-gavel: \\f0e3;\n$fa-var-legal: \\f0e3;\n$fa-var-binoculars: \\f1e5;\n$fa-var-microphone-slash: \\f131;\n$fa-var-box-tissue: \\e05b;\n$fa-var-motorcycle: \\f21c;\n$fa-var-bell-concierge: \\f562;\n$fa-var-concierge-bell: \\f562;\n$fa-var-pen-ruler: \\f5ae;\n$fa-var-pencil-ruler: \\f5ae;\n$fa-var-people-arrows: \\e068;\n$fa-var-people-arrows-left-right: \\e068;\n$fa-var-mars-and-venus-burst: \\e523;\n$fa-var-square-caret-right: \\f152;\n$fa-var-caret-square-right: \\f152;\n$fa-var-scissors: \\f0c4;\n$fa-var-cut: \\f0c4;\n$fa-var-sun-plant-wilt: \\e57a;\n$fa-var-toilets-portable: \\e584;\n$fa-var-hockey-puck: \\f453;\n$fa-var-table: \\f0ce;\n$fa-var-magnifying-glass-arrow-right: \\e521;\n$fa-var-tachograph-digital: \\f566;\n$fa-var-digital-tachograph: \\f566;\n$fa-var-users-slash: \\e073;\n$fa-var-clover: \\e139;\n$fa-var-reply: \\f3e5;\n$fa-var-mail-reply: \\f3e5;\n$fa-var-star-and-crescent: \\f699;\n$fa-var-house-fire: \\e50c;\n$fa-var-square-minus: \\f146;\n$fa-var-minus-square: \\f146;\n$fa-var-helicopter: \\f533;\n$fa-var-compass: \\f14e;\n$fa-var-square-caret-down: \\f150;\n$fa-var-caret-square-down: \\f150;\n$fa-var-file-circle-question: \\e4ef;\n$fa-var-laptop-code: \\f5fc;\n$fa-var-swatchbook: \\f5c3;\n$fa-var-prescription-bottle: \\f485;\n$fa-var-bars: \\f0c9;\n$fa-var-navicon: \\f0c9;\n$fa-var-people-group: \\e533;\n$fa-var-hourglass-end: \\f253;\n$fa-var-hourglass-3: \\f253;\n$fa-var-heart-crack: \\f7a9;\n$fa-var-heart-broken: \\f7a9;\n$fa-var-square-up-right: \\f360;\n$fa-var-external-link-square-alt: \\f360;\n$fa-var-face-kiss-beam: \\f597;\n$fa-var-kiss-beam: \\f597;\n$fa-var-film: \\f008;\n$fa-var-ruler-horizontal: \\f547;\n$fa-var-people-robbery: \\e536;\n$fa-var-lightbulb: \\f0eb;\n$fa-var-caret-left: \\f0d9;\n$fa-var-circle-exclamation: \\f06a;\n$fa-var-exclamation-circle: \\f06a;\n$fa-var-school-circle-xmark: \\e56d;\n$fa-var-arrow-right-from-bracket: \\f08b;\n$fa-var-sign-out: \\f08b;\n$fa-var-circle-chevron-down: \\f13a;\n$fa-var-chevron-circle-down: \\f13a;\n$fa-var-unlock-keyhole: \\f13e;\n$fa-var-unlock-alt: \\f13e;\n$fa-var-cloud-showers-heavy: \\f740;\n$fa-var-headphones-simple: \\f58f;\n$fa-var-headphones-alt: \\f58f;\n$fa-var-sitemap: \\f0e8;\n$fa-var-circle-dollar-to-slot: \\f4b9;\n$fa-var-donate: \\f4b9;\n$fa-var-memory: \\f538;\n$fa-var-road-spikes: \\e568;\n$fa-var-fire-burner: \\e4f1;\n$fa-var-flag: \\f024;\n$fa-var-hanukiah: \\f6e6;\n$fa-var-feather: \\f52d;\n$fa-var-volume-low: \\f027;\n$fa-var-volume-down: \\f027;\n$fa-var-comment-slash: \\f4b3;\n$fa-var-cloud-sun-rain: \\f743;\n$fa-var-compress: \\f066;\n$fa-var-wheat-awn: \\e2cd;\n$fa-var-wheat-alt: \\e2cd;\n$fa-var-ankh: \\f644;\n$fa-var-hands-holding-child: \\e4fa;\n$fa-var-asterisk: \\2a;\n$fa-var-square-check: \\f14a;\n$fa-var-check-square: \\f14a;\n$fa-var-peseta-sign: \\e221;\n$fa-var-heading: \\f1dc;\n$fa-var-header: \\f1dc;\n$fa-var-ghost: \\f6e2;\n$fa-var-list: \\f03a;\n$fa-var-list-squares: \\f03a;\n$fa-var-square-phone-flip: \\f87b;\n$fa-var-phone-square-alt: \\f87b;\n$fa-var-cart-plus: \\f217;\n$fa-var-gamepad: \\f11b;\n$fa-var-circle-dot: \\f192;\n$fa-var-dot-circle: \\f192;\n$fa-var-face-dizzy: \\f567;\n$fa-var-dizzy: \\f567;\n$fa-var-egg: \\f7fb;\n$fa-var-house-medical-circle-xmark: \\e513;\n$fa-var-campground: \\f6bb;\n$fa-var-folder-plus: \\f65e;\n$fa-var-futbol: \\f1e3;\n$fa-var-futbol-ball: \\f1e3;\n$fa-var-soccer-ball: \\f1e3;\n$fa-var-paintbrush: \\f1fc;\n$fa-var-paint-brush: \\f1fc;\n$fa-var-lock: \\f023;\n$fa-var-gas-pump: \\f52f;\n$fa-var-hot-tub-person: \\f593;\n$fa-var-hot-tub: \\f593;\n$fa-var-map-location: \\f59f;\n$fa-var-map-marked: \\f59f;\n$fa-var-house-flood-water: \\e50e;\n$fa-var-tree: \\f1bb;\n$fa-var-bridge-lock: \\e4cc;\n$fa-var-sack-dollar: \\f81d;\n$fa-var-pen-to-square: \\f044;\n$fa-var-edit: \\f044;\n$fa-var-car-side: \\f5e4;\n$fa-var-share-nodes: \\f1e0;\n$fa-var-share-alt: \\f1e0;\n$fa-var-heart-circle-minus: \\e4ff;\n$fa-var-hourglass-half: \\f252;\n$fa-var-hourglass-2: \\f252;\n$fa-var-microscope: \\f610;\n$fa-var-sink: \\e06d;\n$fa-var-bag-shopping: \\f290;\n$fa-var-shopping-bag: \\f290;\n$fa-var-arrow-down-z-a: \\f881;\n$fa-var-sort-alpha-desc: \\f881;\n$fa-var-sort-alpha-down-alt: \\f881;\n$fa-var-mitten: \\f7b5;\n$fa-var-person-rays: \\e54d;\n$fa-var-users: \\f0c0;\n$fa-var-eye-slash: \\f070;\n$fa-var-flask-vial: \\e4f3;\n$fa-var-hand: \\f256;\n$fa-var-hand-paper: \\f256;\n$fa-var-om: \\f679;\n$fa-var-worm: \\e599;\n$fa-var-house-circle-xmark: \\e50b;\n$fa-var-plug: \\f1e6;\n$fa-var-chevron-up: \\f077;\n$fa-var-hand-spock: \\f259;\n$fa-var-stopwatch: \\f2f2;\n$fa-var-face-kiss: \\f596;\n$fa-var-kiss: \\f596;\n$fa-var-bridge-circle-xmark: \\e4cb;\n$fa-var-face-grin-tongue: \\f589;\n$fa-var-grin-tongue: \\f589;\n$fa-var-chess-bishop: \\f43a;\n$fa-var-face-grin-wink: \\f58c;\n$fa-var-grin-wink: \\f58c;\n$fa-var-ear-deaf: \\f2a4;\n$fa-var-deaf: \\f2a4;\n$fa-var-deafness: \\f2a4;\n$fa-var-hard-of-hearing: \\f2a4;\n$fa-var-road-circle-check: \\e564;\n$fa-var-dice-five: \\f523;\n$fa-var-square-rss: \\f143;\n$fa-var-rss-square: \\f143;\n$fa-var-land-mine-on: \\e51b;\n$fa-var-i-cursor: \\f246;\n$fa-var-stamp: \\f5bf;\n$fa-var-stairs: \\e289;\n$fa-var-i: \\49;\n$fa-var-hryvnia-sign: \\f6f2;\n$fa-var-hryvnia: \\f6f2;\n$fa-var-pills: \\f484;\n$fa-var-face-grin-wide: \\f581;\n$fa-var-grin-alt: \\f581;\n$fa-var-tooth: \\f5c9;\n$fa-var-v: \\56;\n$fa-var-bangladeshi-taka-sign: \\e2e6;\n$fa-var-bicycle: \\f206;\n$fa-var-staff-snake: \\e579;\n$fa-var-rod-asclepius: \\e579;\n$fa-var-rod-snake: \\e579;\n$fa-var-staff-aesculapius: \\e579;\n$fa-var-head-side-cough-slash: \\e062;\n$fa-var-truck-medical: \\f0f9;\n$fa-var-ambulance: \\f0f9;\n$fa-var-wheat-awn-circle-exclamation: \\e598;\n$fa-var-snowman: \\f7d0;\n$fa-var-mortar-pestle: \\f5a7;\n$fa-var-road-barrier: \\e562;\n$fa-var-school: \\f549;\n$fa-var-igloo: \\f7ae;\n$fa-var-joint: \\f595;\n$fa-var-angle-right: \\f105;\n$fa-var-horse: \\f6f0;\n$fa-var-q: \\51;\n$fa-var-g: \\47;\n$fa-var-notes-medical: \\f481;\n$fa-var-temperature-half: \\f2c9;\n$fa-var-temperature-2: \\f2c9;\n$fa-var-thermometer-2: \\f2c9;\n$fa-var-thermometer-half: \\f2c9;\n$fa-var-dong-sign: \\e169;\n$fa-var-capsules: \\f46b;\n$fa-var-poo-storm: \\f75a;\n$fa-var-poo-bolt: \\f75a;\n$fa-var-face-frown-open: \\f57a;\n$fa-var-frown-open: \\f57a;\n$fa-var-hand-point-up: \\f0a6;\n$fa-var-money-bill: \\f0d6;\n$fa-var-bookmark: \\f02e;\n$fa-var-align-justify: \\f039;\n$fa-var-umbrella-beach: \\f5ca;\n$fa-var-helmet-un: \\e503;\n$fa-var-bullseye: \\f140;\n$fa-var-bacon: \\f7e5;\n$fa-var-hand-point-down: \\f0a7;\n$fa-var-arrow-up-from-bracket: \\e09a;\n$fa-var-folder: \\f07b;\n$fa-var-folder-blank: \\f07b;\n$fa-var-file-waveform: \\f478;\n$fa-var-file-medical-alt: \\f478;\n$fa-var-radiation: \\f7b9;\n$fa-var-chart-simple: \\e473;\n$fa-var-mars-stroke: \\f229;\n$fa-var-vial: \\f492;\n$fa-var-gauge: \\f624;\n$fa-var-dashboard: \\f624;\n$fa-var-gauge-med: \\f624;\n$fa-var-tachometer-alt-average: \\f624;\n$fa-var-wand-magic-sparkles: \\e2ca;\n$fa-var-magic-wand-sparkles: \\e2ca;\n$fa-var-e: \\45;\n$fa-var-pen-clip: \\f305;\n$fa-var-pen-alt: \\f305;\n$fa-var-bridge-circle-exclamation: \\e4ca;\n$fa-var-user: \\f007;\n$fa-var-school-circle-check: \\e56b;\n$fa-var-dumpster: \\f793;\n$fa-var-van-shuttle: \\f5b6;\n$fa-var-shuttle-van: \\f5b6;\n$fa-var-building-user: \\e4da;\n$fa-var-square-caret-left: \\f191;\n$fa-var-caret-square-left: \\f191;\n$fa-var-highlighter: \\f591;\n$fa-var-key: \\f084;\n$fa-var-bullhorn: \\f0a1;\n$fa-var-globe: \\f0ac;\n$fa-var-synagogue: \\f69b;\n$fa-var-person-half-dress: \\e548;\n$fa-var-road-bridge: \\e563;\n$fa-var-location-arrow: \\f124;\n$fa-var-c: \\43;\n$fa-var-tablet-button: \\f10a;\n$fa-var-building-lock: \\e4d6;\n$fa-var-pizza-slice: \\f818;\n$fa-var-money-bill-wave: \\f53a;\n$fa-var-chart-area: \\f1fe;\n$fa-var-area-chart: \\f1fe;\n$fa-var-house-flag: \\e50d;\n$fa-var-person-circle-minus: \\e540;\n$fa-var-ban: \\f05e;\n$fa-var-cancel: \\f05e;\n$fa-var-camera-rotate: \\e0d8;\n$fa-var-spray-can-sparkles: \\f5d0;\n$fa-var-air-freshener: \\f5d0;\n$fa-var-star: \\f005;\n$fa-var-repeat: \\f363;\n$fa-var-cross: \\f654;\n$fa-var-box: \\f466;\n$fa-var-venus-mars: \\f228;\n$fa-var-arrow-pointer: \\f245;\n$fa-var-mouse-pointer: \\f245;\n$fa-var-maximize: \\f31e;\n$fa-var-expand-arrows-alt: \\f31e;\n$fa-var-charging-station: \\f5e7;\n$fa-var-shapes: \\f61f;\n$fa-var-triangle-circle-square: \\f61f;\n$fa-var-shuffle: \\f074;\n$fa-var-random: \\f074;\n$fa-var-person-running: \\f70c;\n$fa-var-running: \\f70c;\n$fa-var-mobile-retro: \\e527;\n$fa-var-grip-lines-vertical: \\f7a5;\n$fa-var-spider: \\f717;\n$fa-var-hands-bound: \\e4f9;\n$fa-var-file-invoice-dollar: \\f571;\n$fa-var-plane-circle-exclamation: \\e556;\n$fa-var-x-ray: \\f497;\n$fa-var-spell-check: \\f891;\n$fa-var-slash: \\f715;\n$fa-var-computer-mouse: \\f8cc;\n$fa-var-mouse: \\f8cc;\n$fa-var-arrow-right-to-bracket: \\f090;\n$fa-var-sign-in: \\f090;\n$fa-var-shop-slash: \\e070;\n$fa-var-store-alt-slash: \\e070;\n$fa-var-server: \\f233;\n$fa-var-virus-covid-slash: \\e4a9;\n$fa-var-shop-lock: \\e4a5;\n$fa-var-hourglass-start: \\f251;\n$fa-var-hourglass-1: \\f251;\n$fa-var-blender-phone: \\f6b6;\n$fa-var-building-wheat: \\e4db;\n$fa-var-person-breastfeeding: \\e53a;\n$fa-var-right-to-bracket: \\f2f6;\n$fa-var-sign-in-alt: \\f2f6;\n$fa-var-venus: \\f221;\n$fa-var-passport: \\f5ab;\n$fa-var-heart-pulse: \\f21e;\n$fa-var-heartbeat: \\f21e;\n$fa-var-people-carry-box: \\f4ce;\n$fa-var-people-carry: \\f4ce;\n$fa-var-temperature-high: \\f769;\n$fa-var-microchip: \\f2db;\n$fa-var-crown: \\f521;\n$fa-var-weight-hanging: \\f5cd;\n$fa-var-xmarks-lines: \\e59a;\n$fa-var-file-prescription: \\f572;\n$fa-var-weight-scale: \\f496;\n$fa-var-weight: \\f496;\n$fa-var-user-group: \\f500;\n$fa-var-user-friends: \\f500;\n$fa-var-arrow-up-a-z: \\f15e;\n$fa-var-sort-alpha-up: \\f15e;\n$fa-var-chess-knight: \\f441;\n$fa-var-face-laugh-squint: \\f59b;\n$fa-var-laugh-squint: \\f59b;\n$fa-var-wheelchair: \\f193;\n$fa-var-circle-arrow-up: \\f0aa;\n$fa-var-arrow-circle-up: \\f0aa;\n$fa-var-toggle-on: \\f205;\n$fa-var-person-walking: \\f554;\n$fa-var-walking: \\f554;\n$fa-var-l: \\4c;\n$fa-var-fire: \\f06d;\n$fa-var-bed-pulse: \\f487;\n$fa-var-procedures: \\f487;\n$fa-var-shuttle-space: \\f197;\n$fa-var-space-shuttle: \\f197;\n$fa-var-face-laugh: \\f599;\n$fa-var-laugh: \\f599;\n$fa-var-folder-open: \\f07c;\n$fa-var-heart-circle-plus: \\e500;\n$fa-var-code-fork: \\e13b;\n$fa-var-city: \\f64f;\n$fa-var-microphone-lines: \\f3c9;\n$fa-var-microphone-alt: \\f3c9;\n$fa-var-pepper-hot: \\f816;\n$fa-var-unlock: \\f09c;\n$fa-var-colon-sign: \\e140;\n$fa-var-headset: \\f590;\n$fa-var-store-slash: \\e071;\n$fa-var-road-circle-xmark: \\e566;\n$fa-var-user-minus: \\f503;\n$fa-var-mars-stroke-up: \\f22a;\n$fa-var-mars-stroke-v: \\f22a;\n$fa-var-champagne-glasses: \\f79f;\n$fa-var-glass-cheers: \\f79f;\n$fa-var-clipboard: \\f328;\n$fa-var-house-circle-exclamation: \\e50a;\n$fa-var-file-arrow-up: \\f574;\n$fa-var-file-upload: \\f574;\n$fa-var-wifi: \\f1eb;\n$fa-var-wifi-3: \\f1eb;\n$fa-var-wifi-strong: \\f1eb;\n$fa-var-bath: \\f2cd;\n$fa-var-bathtub: \\f2cd;\n$fa-var-underline: \\f0cd;\n$fa-var-user-pen: \\f4ff;\n$fa-var-user-edit: \\f4ff;\n$fa-var-signature: \\f5b7;\n$fa-var-stroopwafel: \\f551;\n$fa-var-bold: \\f032;\n$fa-var-anchor-lock: \\e4ad;\n$fa-var-building-ngo: \\e4d7;\n$fa-var-manat-sign: \\e1d5;\n$fa-var-not-equal: \\f53e;\n$fa-var-border-top-left: \\f853;\n$fa-var-border-style: \\f853;\n$fa-var-map-location-dot: \\f5a0;\n$fa-var-map-marked-alt: \\f5a0;\n$fa-var-jedi: \\f669;\n$fa-var-square-poll-vertical: \\f681;\n$fa-var-poll: \\f681;\n$fa-var-mug-hot: \\f7b6;\n$fa-var-car-battery: \\f5df;\n$fa-var-battery-car: \\f5df;\n$fa-var-gift: \\f06b;\n$fa-var-dice-two: \\f528;\n$fa-var-chess-queen: \\f445;\n$fa-var-glasses: \\f530;\n$fa-var-chess-board: \\f43c;\n$fa-var-building-circle-check: \\e4d2;\n$fa-var-person-chalkboard: \\e53d;\n$fa-var-mars-stroke-right: \\f22b;\n$fa-var-mars-stroke-h: \\f22b;\n$fa-var-hand-back-fist: \\f255;\n$fa-var-hand-rock: \\f255;\n$fa-var-square-caret-up: \\f151;\n$fa-var-caret-square-up: \\f151;\n$fa-var-cloud-showers-water: \\e4e4;\n$fa-var-chart-bar: \\f080;\n$fa-var-bar-chart: \\f080;\n$fa-var-hands-bubbles: \\e05e;\n$fa-var-hands-wash: \\e05e;\n$fa-var-less-than-equal: \\f537;\n$fa-var-train: \\f238;\n$fa-var-eye-low-vision: \\f2a8;\n$fa-var-low-vision: \\f2a8;\n$fa-var-crow: \\f520;\n$fa-var-sailboat: \\e445;\n$fa-var-window-restore: \\f2d2;\n$fa-var-square-plus: \\f0fe;\n$fa-var-plus-square: \\f0fe;\n$fa-var-torii-gate: \\f6a1;\n$fa-var-frog: \\f52e;\n$fa-var-bucket: \\e4cf;\n$fa-var-image: \\f03e;\n$fa-var-microphone: \\f130;\n$fa-var-cow: \\f6c8;\n$fa-var-caret-up: \\f0d8;\n$fa-var-screwdriver: \\f54a;\n$fa-var-folder-closed: \\e185;\n$fa-var-house-tsunami: \\e515;\n$fa-var-square-nfi: \\e576;\n$fa-var-arrow-up-from-ground-water: \\e4b5;\n$fa-var-martini-glass: \\f57b;\n$fa-var-glass-martini-alt: \\f57b;\n$fa-var-rotate-left: \\f2ea;\n$fa-var-rotate-back: \\f2ea;\n$fa-var-rotate-backward: \\f2ea;\n$fa-var-undo-alt: \\f2ea;\n$fa-var-table-columns: \\f0db;\n$fa-var-columns: \\f0db;\n$fa-var-lemon: \\f094;\n$fa-var-head-side-mask: \\e063;\n$fa-var-handshake: \\f2b5;\n$fa-var-gem: \\f3a5;\n$fa-var-dolly: \\f472;\n$fa-var-dolly-box: \\f472;\n$fa-var-smoking: \\f48d;\n$fa-var-minimize: \\f78c;\n$fa-var-compress-arrows-alt: \\f78c;\n$fa-var-monument: \\f5a6;\n$fa-var-snowplow: \\f7d2;\n$fa-var-angles-right: \\f101;\n$fa-var-angle-double-right: \\f101;\n$fa-var-cannabis: \\f55f;\n$fa-var-circle-play: \\f144;\n$fa-var-play-circle: \\f144;\n$fa-var-tablets: \\f490;\n$fa-var-ethernet: \\f796;\n$fa-var-euro-sign: \\f153;\n$fa-var-eur: \\f153;\n$fa-var-euro: \\f153;\n$fa-var-chair: \\f6c0;\n$fa-var-circle-check: \\f058;\n$fa-var-check-circle: \\f058;\n$fa-var-circle-stop: \\f28d;\n$fa-var-stop-circle: \\f28d;\n$fa-var-compass-drafting: \\f568;\n$fa-var-drafting-compass: \\f568;\n$fa-var-plate-wheat: \\e55a;\n$fa-var-icicles: \\f7ad;\n$fa-var-person-shelter: \\e54f;\n$fa-var-neuter: \\f22c;\n$fa-var-id-badge: \\f2c1;\n$fa-var-marker: \\f5a1;\n$fa-var-face-laugh-beam: \\f59a;\n$fa-var-laugh-beam: \\f59a;\n$fa-var-helicopter-symbol: \\e502;\n$fa-var-universal-access: \\f29a;\n$fa-var-circle-chevron-up: \\f139;\n$fa-var-chevron-circle-up: \\f139;\n$fa-var-lari-sign: \\e1c8;\n$fa-var-volcano: \\f770;\n$fa-var-person-walking-dashed-line-arrow-right: \\e553;\n$fa-var-sterling-sign: \\f154;\n$fa-var-gbp: \\f154;\n$fa-var-pound-sign: \\f154;\n$fa-var-viruses: \\e076;\n$fa-var-square-person-confined: \\e577;\n$fa-var-user-tie: \\f508;\n$fa-var-arrow-down-long: \\f175;\n$fa-var-long-arrow-down: \\f175;\n$fa-var-tent-arrow-down-to-line: \\e57e;\n$fa-var-certificate: \\f0a3;\n$fa-var-reply-all: \\f122;\n$fa-var-mail-reply-all: \\f122;\n$fa-var-suitcase: \\f0f2;\n$fa-var-person-skating: \\f7c5;\n$fa-var-skating: \\f7c5;\n$fa-var-filter-circle-dollar: \\f662;\n$fa-var-funnel-dollar: \\f662;\n$fa-var-camera-retro: \\f083;\n$fa-var-circle-arrow-down: \\f0ab;\n$fa-var-arrow-circle-down: \\f0ab;\n$fa-var-file-import: \\f56f;\n$fa-var-arrow-right-to-file: \\f56f;\n$fa-var-square-arrow-up-right: \\f14c;\n$fa-var-external-link-square: \\f14c;\n$fa-var-box-open: \\f49e;\n$fa-var-scroll: \\f70e;\n$fa-var-spa: \\f5bb;\n$fa-var-location-pin-lock: \\e51f;\n$fa-var-pause: \\f04c;\n$fa-var-hill-avalanche: \\e507;\n$fa-var-temperature-empty: \\f2cb;\n$fa-var-temperature-0: \\f2cb;\n$fa-var-thermometer-0: \\f2cb;\n$fa-var-thermometer-empty: \\f2cb;\n$fa-var-bomb: \\f1e2;\n$fa-var-registered: \\f25d;\n$fa-var-address-card: \\f2bb;\n$fa-var-contact-card: \\f2bb;\n$fa-var-vcard: \\f2bb;\n$fa-var-scale-unbalanced-flip: \\f516;\n$fa-var-balance-scale-right: \\f516;\n$fa-var-subscript: \\f12c;\n$fa-var-diamond-turn-right: \\f5eb;\n$fa-var-directions: \\f5eb;\n$fa-var-burst: \\e4dc;\n$fa-var-house-laptop: \\e066;\n$fa-var-laptop-house: \\e066;\n$fa-var-face-tired: \\f5c8;\n$fa-var-tired: \\f5c8;\n$fa-var-money-bills: \\e1f3;\n$fa-var-smog: \\f75f;\n$fa-var-crutch: \\f7f7;\n$fa-var-cloud-arrow-up: \\f0ee;\n$fa-var-cloud-upload: \\f0ee;\n$fa-var-cloud-upload-alt: \\f0ee;\n$fa-var-palette: \\f53f;\n$fa-var-arrows-turn-right: \\e4c0;\n$fa-var-vest: \\e085;\n$fa-var-ferry: \\e4ea;\n$fa-var-arrows-down-to-people: \\e4b9;\n$fa-var-seedling: \\f4d8;\n$fa-var-sprout: \\f4d8;\n$fa-var-left-right: \\f337;\n$fa-var-arrows-alt-h: \\f337;\n$fa-var-boxes-packing: \\e4c7;\n$fa-var-circle-arrow-left: \\f0a8;\n$fa-var-arrow-circle-left: \\f0a8;\n$fa-var-group-arrows-rotate: \\e4f6;\n$fa-var-bowl-food: \\e4c6;\n$fa-var-candy-cane: \\f786;\n$fa-var-arrow-down-wide-short: \\f160;\n$fa-var-sort-amount-asc: \\f160;\n$fa-var-sort-amount-down: \\f160;\n$fa-var-cloud-bolt: \\f76c;\n$fa-var-thunderstorm: \\f76c;\n$fa-var-text-slash: \\f87d;\n$fa-var-remove-format: \\f87d;\n$fa-var-face-smile-wink: \\f4da;\n$fa-var-smile-wink: \\f4da;\n$fa-var-file-word: \\f1c2;\n$fa-var-file-powerpoint: \\f1c4;\n$fa-var-arrows-left-right: \\f07e;\n$fa-var-arrows-h: \\f07e;\n$fa-var-house-lock: \\e510;\n$fa-var-cloud-arrow-down: \\f0ed;\n$fa-var-cloud-download: \\f0ed;\n$fa-var-cloud-download-alt: \\f0ed;\n$fa-var-children: \\e4e1;\n$fa-var-chalkboard: \\f51b;\n$fa-var-blackboard: \\f51b;\n$fa-var-user-large-slash: \\f4fa;\n$fa-var-user-alt-slash: \\f4fa;\n$fa-var-envelope-open: \\f2b6;\n$fa-var-handshake-simple-slash: \\e05f;\n$fa-var-handshake-alt-slash: \\e05f;\n$fa-var-mattress-pillow: \\e525;\n$fa-var-guarani-sign: \\e19a;\n$fa-var-arrows-rotate: \\f021;\n$fa-var-refresh: \\f021;\n$fa-var-sync: \\f021;\n$fa-var-fire-extinguisher: \\f134;\n$fa-var-cruzeiro-sign: \\e152;\n$fa-var-greater-than-equal: \\f532;\n$fa-var-shield-halved: \\f3ed;\n$fa-var-shield-alt: \\f3ed;\n$fa-var-book-atlas: \\f558;\n$fa-var-atlas: \\f558;\n$fa-var-virus: \\e074;\n$fa-var-envelope-circle-check: \\e4e8;\n$fa-var-layer-group: \\f5fd;\n$fa-var-arrows-to-dot: \\e4be;\n$fa-var-archway: \\f557;\n$fa-var-heart-circle-check: \\e4fd;\n$fa-var-house-chimney-crack: \\f6f1;\n$fa-var-house-damage: \\f6f1;\n$fa-var-file-zipper: \\f1c6;\n$fa-var-file-archive: \\f1c6;\n$fa-var-square: \\f0c8;\n$fa-var-martini-glass-empty: \\f000;\n$fa-var-glass-martini: \\f000;\n$fa-var-couch: \\f4b8;\n$fa-var-cedi-sign: \\e0df;\n$fa-var-italic: \\f033;\n$fa-var-table-cells-column-lock: \\e678;\n$fa-var-church: \\f51d;\n$fa-var-comments-dollar: \\f653;\n$fa-var-democrat: \\f747;\n$fa-var-z: \\5a;\n$fa-var-person-skiing: \\f7c9;\n$fa-var-skiing: \\f7c9;\n$fa-var-road-lock: \\e567;\n$fa-var-a: \\41;\n$fa-var-temperature-arrow-down: \\e03f;\n$fa-var-temperature-down: \\e03f;\n$fa-var-feather-pointed: \\f56b;\n$fa-var-feather-alt: \\f56b;\n$fa-var-p: \\50;\n$fa-var-snowflake: \\f2dc;\n$fa-var-newspaper: \\f1ea;\n$fa-var-rectangle-ad: \\f641;\n$fa-var-ad: \\f641;\n$fa-var-circle-arrow-right: \\f0a9;\n$fa-var-arrow-circle-right: \\f0a9;\n$fa-var-filter-circle-xmark: \\e17b;\n$fa-var-locust: \\e520;\n$fa-var-sort: \\f0dc;\n$fa-var-unsorted: \\f0dc;\n$fa-var-list-ol: \\f0cb;\n$fa-var-list-1-2: \\f0cb;\n$fa-var-list-numeric: \\f0cb;\n$fa-var-person-dress-burst: \\e544;\n$fa-var-money-check-dollar: \\f53d;\n$fa-var-money-check-alt: \\f53d;\n$fa-var-vector-square: \\f5cb;\n$fa-var-bread-slice: \\f7ec;\n$fa-var-language: \\f1ab;\n$fa-var-face-kiss-wink-heart: \\f598;\n$fa-var-kiss-wink-heart: \\f598;\n$fa-var-filter: \\f0b0;\n$fa-var-question: \\3f;\n$fa-var-file-signature: \\f573;\n$fa-var-up-down-left-right: \\f0b2;\n$fa-var-arrows-alt: \\f0b2;\n$fa-var-house-chimney-user: \\e065;\n$fa-var-hand-holding-heart: \\f4be;\n$fa-var-puzzle-piece: \\f12e;\n$fa-var-money-check: \\f53c;\n$fa-var-star-half-stroke: \\f5c0;\n$fa-var-star-half-alt: \\f5c0;\n$fa-var-code: \\f121;\n$fa-var-whiskey-glass: \\f7a0;\n$fa-var-glass-whiskey: \\f7a0;\n$fa-var-building-circle-exclamation: \\e4d3;\n$fa-var-magnifying-glass-chart: \\e522;\n$fa-var-arrow-up-right-from-square: \\f08e;\n$fa-var-external-link: \\f08e;\n$fa-var-cubes-stacked: \\e4e6;\n$fa-var-won-sign: \\f159;\n$fa-var-krw: \\f159;\n$fa-var-won: \\f159;\n$fa-var-virus-covid: \\e4a8;\n$fa-var-austral-sign: \\e0a9;\n$fa-var-f: \\46;\n$fa-var-leaf: \\f06c;\n$fa-var-road: \\f018;\n$fa-var-taxi: \\f1ba;\n$fa-var-cab: \\f1ba;\n$fa-var-person-circle-plus: \\e541;\n$fa-var-chart-pie: \\f200;\n$fa-var-pie-chart: \\f200;\n$fa-var-bolt-lightning: \\e0b7;\n$fa-var-sack-xmark: \\e56a;\n$fa-var-file-excel: \\f1c3;\n$fa-var-file-contract: \\f56c;\n$fa-var-fish-fins: \\e4f2;\n$fa-var-building-flag: \\e4d5;\n$fa-var-face-grin-beam: \\f582;\n$fa-var-grin-beam: \\f582;\n$fa-var-object-ungroup: \\f248;\n$fa-var-poop: \\f619;\n$fa-var-location-pin: \\f041;\n$fa-var-map-marker: \\f041;\n$fa-var-kaaba: \\f66b;\n$fa-var-toilet-paper: \\f71e;\n$fa-var-helmet-safety: \\f807;\n$fa-var-hard-hat: \\f807;\n$fa-var-hat-hard: \\f807;\n$fa-var-eject: \\f052;\n$fa-var-circle-right: \\f35a;\n$fa-var-arrow-alt-circle-right: \\f35a;\n$fa-var-plane-circle-check: \\e555;\n$fa-var-face-rolling-eyes: \\f5a5;\n$fa-var-meh-rolling-eyes: \\f5a5;\n$fa-var-object-group: \\f247;\n$fa-var-chart-line: \\f201;\n$fa-var-line-chart: \\f201;\n$fa-var-mask-ventilator: \\e524;\n$fa-var-arrow-right: \\f061;\n$fa-var-signs-post: \\f277;\n$fa-var-map-signs: \\f277;\n$fa-var-cash-register: \\f788;\n$fa-var-person-circle-question: \\e542;\n$fa-var-h: \\48;\n$fa-var-tarp: \\e57b;\n$fa-var-screwdriver-wrench: \\f7d9;\n$fa-var-tools: \\f7d9;\n$fa-var-arrows-to-eye: \\e4bf;\n$fa-var-plug-circle-bolt: \\e55b;\n$fa-var-heart: \\f004;\n$fa-var-mars-and-venus: \\f224;\n$fa-var-house-user: \\e1b0;\n$fa-var-home-user: \\e1b0;\n$fa-var-dumpster-fire: \\f794;\n$fa-var-house-crack: \\e3b1;\n$fa-var-martini-glass-citrus: \\f561;\n$fa-var-cocktail: \\f561;\n$fa-var-face-surprise: \\f5c2;\n$fa-var-surprise: \\f5c2;\n$fa-var-bottle-water: \\e4c5;\n$fa-var-circle-pause: \\f28b;\n$fa-var-pause-circle: \\f28b;\n$fa-var-toilet-paper-slash: \\e072;\n$fa-var-apple-whole: \\f5d1;\n$fa-var-apple-alt: \\f5d1;\n$fa-var-kitchen-set: \\e51a;\n$fa-var-r: \\52;\n$fa-var-temperature-quarter: \\f2ca;\n$fa-var-temperature-1: \\f2ca;\n$fa-var-thermometer-1: \\f2ca;\n$fa-var-thermometer-quarter: \\f2ca;\n$fa-var-cube: \\f1b2;\n$fa-var-bitcoin-sign: \\e0b4;\n$fa-var-shield-dog: \\e573;\n$fa-var-solar-panel: \\f5ba;\n$fa-var-lock-open: \\f3c1;\n$fa-var-elevator: \\e16d;\n$fa-var-money-bill-transfer: \\e528;\n$fa-var-money-bill-trend-up: \\e529;\n$fa-var-house-flood-water-circle-arrow-right: \\e50f;\n$fa-var-square-poll-horizontal: \\f682;\n$fa-var-poll-h: \\f682;\n$fa-var-circle: \\f111;\n$fa-var-backward-fast: \\f049;\n$fa-var-fast-backward: \\f049;\n$fa-var-recycle: \\f1b8;\n$fa-var-user-astronaut: \\f4fb;\n$fa-var-plane-slash: \\e069;\n$fa-var-trademark: \\f25c;\n$fa-var-basketball: \\f434;\n$fa-var-basketball-ball: \\f434;\n$fa-var-satellite-dish: \\f7c0;\n$fa-var-circle-up: \\f35b;\n$fa-var-arrow-alt-circle-up: \\f35b;\n$fa-var-mobile-screen-button: \\f3cd;\n$fa-var-mobile-alt: \\f3cd;\n$fa-var-volume-high: \\f028;\n$fa-var-volume-up: \\f028;\n$fa-var-users-rays: \\e593;\n$fa-var-wallet: \\f555;\n$fa-var-clipboard-check: \\f46c;\n$fa-var-file-audio: \\f1c7;\n$fa-var-burger: \\f805;\n$fa-var-hamburger: \\f805;\n$fa-var-wrench: \\f0ad;\n$fa-var-bugs: \\e4d0;\n$fa-var-rupee-sign: \\f156;\n$fa-var-rupee: \\f156;\n$fa-var-file-image: \\f1c5;\n$fa-var-circle-question: \\f059;\n$fa-var-question-circle: \\f059;\n$fa-var-plane-departure: \\f5b0;\n$fa-var-handshake-slash: \\e060;\n$fa-var-book-bookmark: \\e0bb;\n$fa-var-code-branch: \\f126;\n$fa-var-hat-cowboy: \\f8c0;\n$fa-var-bridge: \\e4c8;\n$fa-var-phone-flip: \\f879;\n$fa-var-phone-alt: \\f879;\n$fa-var-truck-front: \\e2b7;\n$fa-var-cat: \\f6be;\n$fa-var-anchor-circle-exclamation: \\e4ab;\n$fa-var-truck-field: \\e58d;\n$fa-var-route: \\f4d7;\n$fa-var-clipboard-question: \\e4e3;\n$fa-var-panorama: \\e209;\n$fa-var-comment-medical: \\f7f5;\n$fa-var-teeth-open: \\f62f;\n$fa-var-file-circle-minus: \\e4ed;\n$fa-var-tags: \\f02c;\n$fa-var-wine-glass: \\f4e3;\n$fa-var-forward-fast: \\f050;\n$fa-var-fast-forward: \\f050;\n$fa-var-face-meh-blank: \\f5a4;\n$fa-var-meh-blank: \\f5a4;\n$fa-var-square-parking: \\f540;\n$fa-var-parking: \\f540;\n$fa-var-house-signal: \\e012;\n$fa-var-bars-progress: \\f828;\n$fa-var-tasks-alt: \\f828;\n$fa-var-faucet-drip: \\e006;\n$fa-var-cart-flatbed: \\f474;\n$fa-var-dolly-flatbed: \\f474;\n$fa-var-ban-smoking: \\f54d;\n$fa-var-smoking-ban: \\f54d;\n$fa-var-terminal: \\f120;\n$fa-var-mobile-button: \\f10b;\n$fa-var-house-medical-flag: \\e514;\n$fa-var-basket-shopping: \\f291;\n$fa-var-shopping-basket: \\f291;\n$fa-var-tape: \\f4db;\n$fa-var-bus-simple: \\f55e;\n$fa-var-bus-alt: \\f55e;\n$fa-var-eye: \\f06e;\n$fa-var-face-sad-cry: \\f5b3;\n$fa-var-sad-cry: \\f5b3;\n$fa-var-audio-description: \\f29e;\n$fa-var-person-military-to-person: \\e54c;\n$fa-var-file-shield: \\e4f0;\n$fa-var-user-slash: \\f506;\n$fa-var-pen: \\f304;\n$fa-var-tower-observation: \\e586;\n$fa-var-file-code: \\f1c9;\n$fa-var-signal: \\f012;\n$fa-var-signal-5: \\f012;\n$fa-var-signal-perfect: \\f012;\n$fa-var-bus: \\f207;\n$fa-var-heart-circle-xmark: \\e501;\n$fa-var-house-chimney: \\e3af;\n$fa-var-home-lg: \\e3af;\n$fa-var-window-maximize: \\f2d0;\n$fa-var-face-frown: \\f119;\n$fa-var-frown: \\f119;\n$fa-var-prescription: \\f5b1;\n$fa-var-shop: \\f54f;\n$fa-var-store-alt: \\f54f;\n$fa-var-floppy-disk: \\f0c7;\n$fa-var-save: \\f0c7;\n$fa-var-vihara: \\f6a7;\n$fa-var-scale-unbalanced: \\f515;\n$fa-var-balance-scale-left: \\f515;\n$fa-var-sort-up: \\f0de;\n$fa-var-sort-asc: \\f0de;\n$fa-var-comment-dots: \\f4ad;\n$fa-var-commenting: \\f4ad;\n$fa-var-plant-wilt: \\e5aa;\n$fa-var-diamond: \\f219;\n$fa-var-face-grin-squint: \\f585;\n$fa-var-grin-squint: \\f585;\n$fa-var-hand-holding-dollar: \\f4c0;\n$fa-var-hand-holding-usd: \\f4c0;\n$fa-var-bacterium: \\e05a;\n$fa-var-hand-pointer: \\f25a;\n$fa-var-drum-steelpan: \\f56a;\n$fa-var-hand-scissors: \\f257;\n$fa-var-hands-praying: \\f684;\n$fa-var-praying-hands: \\f684;\n$fa-var-arrow-rotate-right: \\f01e;\n$fa-var-arrow-right-rotate: \\f01e;\n$fa-var-arrow-rotate-forward: \\f01e;\n$fa-var-redo: \\f01e;\n$fa-var-biohazard: \\f780;\n$fa-var-location-crosshairs: \\f601;\n$fa-var-location: \\f601;\n$fa-var-mars-double: \\f227;\n$fa-var-child-dress: \\e59c;\n$fa-var-users-between-lines: \\e591;\n$fa-var-lungs-virus: \\e067;\n$fa-var-face-grin-tears: \\f588;\n$fa-var-grin-tears: \\f588;\n$fa-var-phone: \\f095;\n$fa-var-calendar-xmark: \\f273;\n$fa-var-calendar-times: \\f273;\n$fa-var-child-reaching: \\e59d;\n$fa-var-head-side-virus: \\e064;\n$fa-var-user-gear: \\f4fe;\n$fa-var-user-cog: \\f4fe;\n$fa-var-arrow-up-1-9: \\f163;\n$fa-var-sort-numeric-up: \\f163;\n$fa-var-door-closed: \\f52a;\n$fa-var-shield-virus: \\e06c;\n$fa-var-dice-six: \\f526;\n$fa-var-mosquito-net: \\e52c;\n$fa-var-bridge-water: \\e4ce;\n$fa-var-person-booth: \\f756;\n$fa-var-text-width: \\f035;\n$fa-var-hat-wizard: \\f6e8;\n$fa-var-pen-fancy: \\f5ac;\n$fa-var-person-digging: \\f85e;\n$fa-var-digging: \\f85e;\n$fa-var-trash: \\f1f8;\n$fa-var-gauge-simple: \\f629;\n$fa-var-gauge-simple-med: \\f629;\n$fa-var-tachometer-average: \\f629;\n$fa-var-book-medical: \\f7e6;\n$fa-var-poo: \\f2fe;\n$fa-var-quote-right: \\f10e;\n$fa-var-quote-right-alt: \\f10e;\n$fa-var-shirt: \\f553;\n$fa-var-t-shirt: \\f553;\n$fa-var-tshirt: \\f553;\n$fa-var-cubes: \\f1b3;\n$fa-var-divide: \\f529;\n$fa-var-tenge-sign: \\f7d7;\n$fa-var-tenge: \\f7d7;\n$fa-var-headphones: \\f025;\n$fa-var-hands-holding: \\f4c2;\n$fa-var-hands-clapping: \\e1a8;\n$fa-var-republican: \\f75e;\n$fa-var-arrow-left: \\f060;\n$fa-var-person-circle-xmark: \\e543;\n$fa-var-ruler: \\f545;\n$fa-var-align-left: \\f036;\n$fa-var-dice-d6: \\f6d1;\n$fa-var-restroom: \\f7bd;\n$fa-var-j: \\4a;\n$fa-var-users-viewfinder: \\e595;\n$fa-var-file-video: \\f1c8;\n$fa-var-up-right-from-square: \\f35d;\n$fa-var-external-link-alt: \\f35d;\n$fa-var-table-cells: \\f00a;\n$fa-var-th: \\f00a;\n$fa-var-file-pdf: \\f1c1;\n$fa-var-book-bible: \\f647;\n$fa-var-bible: \\f647;\n$fa-var-o: \\4f;\n$fa-var-suitcase-medical: \\f0fa;\n$fa-var-medkit: \\f0fa;\n$fa-var-user-secret: \\f21b;\n$fa-var-otter: \\f700;\n$fa-var-person-dress: \\f182;\n$fa-var-female: \\f182;\n$fa-var-comment-dollar: \\f651;\n$fa-var-business-time: \\f64a;\n$fa-var-briefcase-clock: \\f64a;\n$fa-var-table-cells-large: \\f009;\n$fa-var-th-large: \\f009;\n$fa-var-book-tanakh: \\f827;\n$fa-var-tanakh: \\f827;\n$fa-var-phone-volume: \\f2a0;\n$fa-var-volume-control-phone: \\f2a0;\n$fa-var-hat-cowboy-side: \\f8c1;\n$fa-var-clipboard-user: \\f7f3;\n$fa-var-child: \\f1ae;\n$fa-var-lira-sign: \\f195;\n$fa-var-satellite: \\f7bf;\n$fa-var-plane-lock: \\e558;\n$fa-var-tag: \\f02b;\n$fa-var-comment: \\f075;\n$fa-var-cake-candles: \\f1fd;\n$fa-var-birthday-cake: \\f1fd;\n$fa-var-cake: \\f1fd;\n$fa-var-envelope: \\f0e0;\n$fa-var-angles-up: \\f102;\n$fa-var-angle-double-up: \\f102;\n$fa-var-paperclip: \\f0c6;\n$fa-var-arrow-right-to-city: \\e4b3;\n$fa-var-ribbon: \\f4d6;\n$fa-var-lungs: \\f604;\n$fa-var-arrow-up-9-1: \\f887;\n$fa-var-sort-numeric-up-alt: \\f887;\n$fa-var-litecoin-sign: \\e1d3;\n$fa-var-border-none: \\f850;\n$fa-var-circle-nodes: \\e4e2;\n$fa-var-parachute-box: \\f4cd;\n$fa-var-indent: \\f03c;\n$fa-var-truck-field-un: \\e58e;\n$fa-var-hourglass: \\f254;\n$fa-var-hourglass-empty: \\f254;\n$fa-var-mountain: \\f6fc;\n$fa-var-user-doctor: \\f0f0;\n$fa-var-user-md: \\f0f0;\n$fa-var-circle-info: \\f05a;\n$fa-var-info-circle: \\f05a;\n$fa-var-cloud-meatball: \\f73b;\n$fa-var-camera: \\f030;\n$fa-var-camera-alt: \\f030;\n$fa-var-square-virus: \\e578;\n$fa-var-meteor: \\f753;\n$fa-var-car-on: \\e4dd;\n$fa-var-sleigh: \\f7cc;\n$fa-var-arrow-down-1-9: \\f162;\n$fa-var-sort-numeric-asc: \\f162;\n$fa-var-sort-numeric-down: \\f162;\n$fa-var-hand-holding-droplet: \\f4c1;\n$fa-var-hand-holding-water: \\f4c1;\n$fa-var-water: \\f773;\n$fa-var-calendar-check: \\f274;\n$fa-var-braille: \\f2a1;\n$fa-var-prescription-bottle-medical: \\f486;\n$fa-var-prescription-bottle-alt: \\f486;\n$fa-var-landmark: \\f66f;\n$fa-var-truck: \\f0d1;\n$fa-var-crosshairs: \\f05b;\n$fa-var-person-cane: \\e53c;\n$fa-var-tent: \\e57d;\n$fa-var-vest-patches: \\e086;\n$fa-var-check-double: \\f560;\n$fa-var-arrow-down-a-z: \\f15d;\n$fa-var-sort-alpha-asc: \\f15d;\n$fa-var-sort-alpha-down: \\f15d;\n$fa-var-money-bill-wheat: \\e52a;\n$fa-var-cookie: \\f563;\n$fa-var-arrow-rotate-left: \\f0e2;\n$fa-var-arrow-left-rotate: \\f0e2;\n$fa-var-arrow-rotate-back: \\f0e2;\n$fa-var-arrow-rotate-backward: \\f0e2;\n$fa-var-undo: \\f0e2;\n$fa-var-hard-drive: \\f0a0;\n$fa-var-hdd: \\f0a0;\n$fa-var-face-grin-squint-tears: \\f586;\n$fa-var-grin-squint-tears: \\f586;\n$fa-var-dumbbell: \\f44b;\n$fa-var-rectangle-list: \\f022;\n$fa-var-list-alt: \\f022;\n$fa-var-tarp-droplet: \\e57c;\n$fa-var-house-medical-circle-check: \\e511;\n$fa-var-person-skiing-nordic: \\f7ca;\n$fa-var-skiing-nordic: \\f7ca;\n$fa-var-calendar-plus: \\f271;\n$fa-var-plane-arrival: \\f5af;\n$fa-var-circle-left: \\f359;\n$fa-var-arrow-alt-circle-left: \\f359;\n$fa-var-train-subway: \\f239;\n$fa-var-subway: \\f239;\n$fa-var-chart-gantt: \\e0e4;\n$fa-var-indian-rupee-sign: \\e1bc;\n$fa-var-indian-rupee: \\e1bc;\n$fa-var-inr: \\e1bc;\n$fa-var-crop-simple: \\f565;\n$fa-var-crop-alt: \\f565;\n$fa-var-money-bill-1: \\f3d1;\n$fa-var-money-bill-alt: \\f3d1;\n$fa-var-left-long: \\f30a;\n$fa-var-long-arrow-alt-left: \\f30a;\n$fa-var-dna: \\f471;\n$fa-var-virus-slash: \\e075;\n$fa-var-minus: \\f068;\n$fa-var-subtract: \\f068;\n$fa-var-chess: \\f439;\n$fa-var-arrow-left-long: \\f177;\n$fa-var-long-arrow-left: \\f177;\n$fa-var-plug-circle-check: \\e55c;\n$fa-var-street-view: \\f21d;\n$fa-var-franc-sign: \\e18f;\n$fa-var-volume-off: \\f026;\n$fa-var-hands-asl-interpreting: \\f2a3;\n$fa-var-american-sign-language-interpreting: \\f2a3;\n$fa-var-asl-interpreting: \\f2a3;\n$fa-var-hands-american-sign-language-interpreting: \\f2a3;\n$fa-var-gear: \\f013;\n$fa-var-cog: \\f013;\n$fa-var-droplet-slash: \\f5c7;\n$fa-var-tint-slash: \\f5c7;\n$fa-var-mosque: \\f678;\n$fa-var-mosquito: \\e52b;\n$fa-var-star-of-david: \\f69a;\n$fa-var-person-military-rifle: \\e54b;\n$fa-var-cart-shopping: \\f07a;\n$fa-var-shopping-cart: \\f07a;\n$fa-var-vials: \\f493;\n$fa-var-plug-circle-plus: \\e55f;\n$fa-var-place-of-worship: \\f67f;\n$fa-var-grip-vertical: \\f58e;\n$fa-var-arrow-turn-up: \\f148;\n$fa-var-level-up: \\f148;\n$fa-var-u: \\55;\n$fa-var-square-root-variable: \\f698;\n$fa-var-square-root-alt: \\f698;\n$fa-var-clock: \\f017;\n$fa-var-clock-four: \\f017;\n$fa-var-backward-step: \\f048;\n$fa-var-step-backward: \\f048;\n$fa-var-pallet: \\f482;\n$fa-var-faucet: \\e005;\n$fa-var-baseball-bat-ball: \\f432;\n$fa-var-s: \\53;\n$fa-var-timeline: \\e29c;\n$fa-var-keyboard: \\f11c;\n$fa-var-caret-down: \\f0d7;\n$fa-var-house-chimney-medical: \\f7f2;\n$fa-var-clinic-medical: \\f7f2;\n$fa-var-temperature-three-quarters: \\f2c8;\n$fa-var-temperature-3: \\f2c8;\n$fa-var-thermometer-3: \\f2c8;\n$fa-var-thermometer-three-quarters: \\f2c8;\n$fa-var-mobile-screen: \\f3cf;\n$fa-var-mobile-android-alt: \\f3cf;\n$fa-var-plane-up: \\e22d;\n$fa-var-piggy-bank: \\f4d3;\n$fa-var-battery-half: \\f242;\n$fa-var-battery-3: \\f242;\n$fa-var-mountain-city: \\e52e;\n$fa-var-coins: \\f51e;\n$fa-var-khanda: \\f66d;\n$fa-var-sliders: \\f1de;\n$fa-var-sliders-h: \\f1de;\n$fa-var-folder-tree: \\f802;\n$fa-var-network-wired: \\f6ff;\n$fa-var-map-pin: \\f276;\n$fa-var-hamsa: \\f665;\n$fa-var-cent-sign: \\e3f5;\n$fa-var-flask: \\f0c3;\n$fa-var-person-pregnant: \\e31e;\n$fa-var-wand-sparkles: \\f72b;\n$fa-var-ellipsis-vertical: \\f142;\n$fa-var-ellipsis-v: \\f142;\n$fa-var-ticket: \\f145;\n$fa-var-power-off: \\f011;\n$fa-var-right-long: \\f30b;\n$fa-var-long-arrow-alt-right: \\f30b;\n$fa-var-flag-usa: \\f74d;\n$fa-var-laptop-file: \\e51d;\n$fa-var-tty: \\f1e4;\n$fa-var-teletype: \\f1e4;\n$fa-var-diagram-next: \\e476;\n$fa-var-person-rifle: \\e54e;\n$fa-var-house-medical-circle-exclamation: \\e512;\n$fa-var-closed-captioning: \\f20a;\n$fa-var-person-hiking: \\f6ec;\n$fa-var-hiking: \\f6ec;\n$fa-var-venus-double: \\f226;\n$fa-var-images: \\f302;\n$fa-var-calculator: \\f1ec;\n$fa-var-people-pulling: \\e535;\n$fa-var-n: \\4e;\n$fa-var-cable-car: \\f7da;\n$fa-var-tram: \\f7da;\n$fa-var-cloud-rain: \\f73d;\n$fa-var-building-circle-xmark: \\e4d4;\n$fa-var-ship: \\f21a;\n$fa-var-arrows-down-to-line: \\e4b8;\n$fa-var-download: \\f019;\n$fa-var-face-grin: \\f580;\n$fa-var-grin: \\f580;\n$fa-var-delete-left: \\f55a;\n$fa-var-backspace: \\f55a;\n$fa-var-eye-dropper: \\f1fb;\n$fa-var-eye-dropper-empty: \\f1fb;\n$fa-var-eyedropper: \\f1fb;\n$fa-var-file-circle-check: \\e5a0;\n$fa-var-forward: \\f04e;\n$fa-var-mobile: \\f3ce;\n$fa-var-mobile-android: \\f3ce;\n$fa-var-mobile-phone: \\f3ce;\n$fa-var-face-meh: \\f11a;\n$fa-var-meh: \\f11a;\n$fa-var-align-center: \\f037;\n$fa-var-book-skull: \\f6b7;\n$fa-var-book-dead: \\f6b7;\n$fa-var-id-card: \\f2c2;\n$fa-var-drivers-license: \\f2c2;\n$fa-var-outdent: \\f03b;\n$fa-var-dedent: \\f03b;\n$fa-var-heart-circle-exclamation: \\e4fe;\n$fa-var-house: \\f015;\n$fa-var-home: \\f015;\n$fa-var-home-alt: \\f015;\n$fa-var-home-lg-alt: \\f015;\n$fa-var-calendar-week: \\f784;\n$fa-var-laptop-medical: \\f812;\n$fa-var-b: \\42;\n$fa-var-file-medical: \\f477;\n$fa-var-dice-one: \\f525;\n$fa-var-kiwi-bird: \\f535;\n$fa-var-arrow-right-arrow-left: \\f0ec;\n$fa-var-exchange: \\f0ec;\n$fa-var-rotate-right: \\f2f9;\n$fa-var-redo-alt: \\f2f9;\n$fa-var-rotate-forward: \\f2f9;\n$fa-var-utensils: \\f2e7;\n$fa-var-cutlery: \\f2e7;\n$fa-var-arrow-up-wide-short: \\f161;\n$fa-var-sort-amount-up: \\f161;\n$fa-var-mill-sign: \\e1ed;\n$fa-var-bowl-rice: \\e2eb;\n$fa-var-skull: \\f54c;\n$fa-var-tower-broadcast: \\f519;\n$fa-var-broadcast-tower: \\f519;\n$fa-var-truck-pickup: \\f63c;\n$fa-var-up-long: \\f30c;\n$fa-var-long-arrow-alt-up: \\f30c;\n$fa-var-stop: \\f04d;\n$fa-var-code-merge: \\f387;\n$fa-var-upload: \\f093;\n$fa-var-hurricane: \\f751;\n$fa-var-mound: \\e52d;\n$fa-var-toilet-portable: \\e583;\n$fa-var-compact-disc: \\f51f;\n$fa-var-file-arrow-down: \\f56d;\n$fa-var-file-download: \\f56d;\n$fa-var-caravan: \\f8ff;\n$fa-var-shield-cat: \\e572;\n$fa-var-bolt: \\f0e7;\n$fa-var-zap: \\f0e7;\n$fa-var-glass-water: \\e4f4;\n$fa-var-oil-well: \\e532;\n$fa-var-vault: \\e2c5;\n$fa-var-mars: \\f222;\n$fa-var-toilet: \\f7d8;\n$fa-var-plane-circle-xmark: \\e557;\n$fa-var-yen-sign: \\f157;\n$fa-var-cny: \\f157;\n$fa-var-jpy: \\f157;\n$fa-var-rmb: \\f157;\n$fa-var-yen: \\f157;\n$fa-var-ruble-sign: \\f158;\n$fa-var-rouble: \\f158;\n$fa-var-rub: \\f158;\n$fa-var-ruble: \\f158;\n$fa-var-sun: \\f185;\n$fa-var-guitar: \\f7a6;\n$fa-var-face-laugh-wink: \\f59c;\n$fa-var-laugh-wink: \\f59c;\n$fa-var-horse-head: \\f7ab;\n$fa-var-bore-hole: \\e4c3;\n$fa-var-industry: \\f275;\n$fa-var-circle-down: \\f358;\n$fa-var-arrow-alt-circle-down: \\f358;\n$fa-var-arrows-turn-to-dots: \\e4c1;\n$fa-var-florin-sign: \\e184;\n$fa-var-arrow-down-short-wide: \\f884;\n$fa-var-sort-amount-desc: \\f884;\n$fa-var-sort-amount-down-alt: \\f884;\n$fa-var-less-than: \\3c;\n$fa-var-angle-down: \\f107;\n$fa-var-car-tunnel: \\e4de;\n$fa-var-head-side-cough: \\e061;\n$fa-var-grip-lines: \\f7a4;\n$fa-var-thumbs-down: \\f165;\n$fa-var-user-lock: \\f502;\n$fa-var-arrow-right-long: \\f178;\n$fa-var-long-arrow-right: \\f178;\n$fa-var-anchor-circle-xmark: \\e4ac;\n$fa-var-ellipsis: \\f141;\n$fa-var-ellipsis-h: \\f141;\n$fa-var-chess-pawn: \\f443;\n$fa-var-kit-medical: \\f479;\n$fa-var-first-aid: \\f479;\n$fa-var-person-through-window: \\e5a9;\n$fa-var-toolbox: \\f552;\n$fa-var-hands-holding-circle: \\e4fb;\n$fa-var-bug: \\f188;\n$fa-var-credit-card: \\f09d;\n$fa-var-credit-card-alt: \\f09d;\n$fa-var-car: \\f1b9;\n$fa-var-automobile: \\f1b9;\n$fa-var-hand-holding-hand: \\e4f7;\n$fa-var-book-open-reader: \\f5da;\n$fa-var-book-reader: \\f5da;\n$fa-var-mountain-sun: \\e52f;\n$fa-var-arrows-left-right-to-line: \\e4ba;\n$fa-var-dice-d20: \\f6cf;\n$fa-var-truck-droplet: \\e58c;\n$fa-var-file-circle-xmark: \\e5a1;\n$fa-var-temperature-arrow-up: \\e040;\n$fa-var-temperature-up: \\e040;\n$fa-var-medal: \\f5a2;\n$fa-var-bed: \\f236;\n$fa-var-square-h: \\f0fd;\n$fa-var-h-square: \\f0fd;\n$fa-var-podcast: \\f2ce;\n$fa-var-temperature-full: \\f2c7;\n$fa-var-temperature-4: \\f2c7;\n$fa-var-thermometer-4: \\f2c7;\n$fa-var-thermometer-full: \\f2c7;\n$fa-var-bell: \\f0f3;\n$fa-var-superscript: \\f12b;\n$fa-var-plug-circle-xmark: \\e560;\n$fa-var-star-of-life: \\f621;\n$fa-var-phone-slash: \\f3dd;\n$fa-var-paint-roller: \\f5aa;\n$fa-var-handshake-angle: \\f4c4;\n$fa-var-hands-helping: \\f4c4;\n$fa-var-location-dot: \\f3c5;\n$fa-var-map-marker-alt: \\f3c5;\n$fa-var-file: \\f15b;\n$fa-var-greater-than: \\3e;\n$fa-var-person-swimming: \\f5c4;\n$fa-var-swimmer: \\f5c4;\n$fa-var-arrow-down: \\f063;\n$fa-var-droplet: \\f043;\n$fa-var-tint: \\f043;\n$fa-var-eraser: \\f12d;\n$fa-var-earth-americas: \\f57d;\n$fa-var-earth: \\f57d;\n$fa-var-earth-america: \\f57d;\n$fa-var-globe-americas: \\f57d;\n$fa-var-person-burst: \\e53b;\n$fa-var-dove: \\f4ba;\n$fa-var-battery-empty: \\f244;\n$fa-var-battery-0: \\f244;\n$fa-var-socks: \\f696;\n$fa-var-inbox: \\f01c;\n$fa-var-section: \\e447;\n$fa-var-gauge-high: \\f625;\n$fa-var-tachometer-alt: \\f625;\n$fa-var-tachometer-alt-fast: \\f625;\n$fa-var-envelope-open-text: \\f658;\n$fa-var-hospital: \\f0f8;\n$fa-var-hospital-alt: \\f0f8;\n$fa-var-hospital-wide: \\f0f8;\n$fa-var-wine-bottle: \\f72f;\n$fa-var-chess-rook: \\f447;\n$fa-var-bars-staggered: \\f550;\n$fa-var-reorder: \\f550;\n$fa-var-stream: \\f550;\n$fa-var-dharmachakra: \\f655;\n$fa-var-hotdog: \\f80f;\n$fa-var-person-walking-with-cane: \\f29d;\n$fa-var-blind: \\f29d;\n$fa-var-drum: \\f569;\n$fa-var-ice-cream: \\f810;\n$fa-var-heart-circle-bolt: \\e4fc;\n$fa-var-fax: \\f1ac;\n$fa-var-paragraph: \\f1dd;\n$fa-var-check-to-slot: \\f772;\n$fa-var-vote-yea: \\f772;\n$fa-var-star-half: \\f089;\n$fa-var-boxes-stacked: \\f468;\n$fa-var-boxes: \\f468;\n$fa-var-boxes-alt: \\f468;\n$fa-var-link: \\f0c1;\n$fa-var-chain: \\f0c1;\n$fa-var-ear-listen: \\f2a2;\n$fa-var-assistive-listening-systems: \\f2a2;\n$fa-var-tree-city: \\e587;\n$fa-var-play: \\f04b;\n$fa-var-font: \\f031;\n$fa-var-table-cells-row-lock: \\e67a;\n$fa-var-rupiah-sign: \\e23d;\n$fa-var-magnifying-glass: \\f002;\n$fa-var-search: \\f002;\n$fa-var-table-tennis-paddle-ball: \\f45d;\n$fa-var-ping-pong-paddle-ball: \\f45d;\n$fa-var-table-tennis: \\f45d;\n$fa-var-person-dots-from-line: \\f470;\n$fa-var-diagnoses: \\f470;\n$fa-var-trash-can-arrow-up: \\f82a;\n$fa-var-trash-restore-alt: \\f82a;\n$fa-var-naira-sign: \\e1f6;\n$fa-var-cart-arrow-down: \\f218;\n$fa-var-walkie-talkie: \\f8ef;\n$fa-var-file-pen: \\f31c;\n$fa-var-file-edit: \\f31c;\n$fa-var-receipt: \\f543;\n$fa-var-square-pen: \\f14b;\n$fa-var-pen-square: \\f14b;\n$fa-var-pencil-square: \\f14b;\n$fa-var-suitcase-rolling: \\f5c1;\n$fa-var-person-circle-exclamation: \\e53f;\n$fa-var-chevron-down: \\f078;\n$fa-var-battery-full: \\f240;\n$fa-var-battery: \\f240;\n$fa-var-battery-5: \\f240;\n$fa-var-skull-crossbones: \\f714;\n$fa-var-code-compare: \\e13a;\n$fa-var-list-ul: \\f0ca;\n$fa-var-list-dots: \\f0ca;\n$fa-var-school-lock: \\e56f;\n$fa-var-tower-cell: \\e585;\n$fa-var-down-long: \\f309;\n$fa-var-long-arrow-alt-down: \\f309;\n$fa-var-ranking-star: \\e561;\n$fa-var-chess-king: \\f43f;\n$fa-var-person-harassing: \\e549;\n$fa-var-brazilian-real-sign: \\e46c;\n$fa-var-landmark-dome: \\f752;\n$fa-var-landmark-alt: \\f752;\n$fa-var-arrow-up: \\f062;\n$fa-var-tv: \\f26c;\n$fa-var-television: \\f26c;\n$fa-var-tv-alt: \\f26c;\n$fa-var-shrimp: \\e448;\n$fa-var-list-check: \\f0ae;\n$fa-var-tasks: \\f0ae;\n$fa-var-jug-detergent: \\e519;\n$fa-var-circle-user: \\f2bd;\n$fa-var-user-circle: \\f2bd;\n$fa-var-user-shield: \\f505;\n$fa-var-wind: \\f72e;\n$fa-var-car-burst: \\f5e1;\n$fa-var-car-crash: \\f5e1;\n$fa-var-y: \\59;\n$fa-var-person-snowboarding: \\f7ce;\n$fa-var-snowboarding: \\f7ce;\n$fa-var-truck-fast: \\f48b;\n$fa-var-shipping-fast: \\f48b;\n$fa-var-fish: \\f578;\n$fa-var-user-graduate: \\f501;\n$fa-var-circle-half-stroke: \\f042;\n$fa-var-adjust: \\f042;\n$fa-var-clapperboard: \\e131;\n$fa-var-circle-radiation: \\f7ba;\n$fa-var-radiation-alt: \\f7ba;\n$fa-var-baseball: \\f433;\n$fa-var-baseball-ball: \\f433;\n$fa-var-jet-fighter-up: \\e518;\n$fa-var-diagram-project: \\f542;\n$fa-var-project-diagram: \\f542;\n$fa-var-copy: \\f0c5;\n$fa-var-volume-xmark: \\f6a9;\n$fa-var-volume-mute: \\f6a9;\n$fa-var-volume-times: \\f6a9;\n$fa-var-hand-sparkles: \\e05d;\n$fa-var-grip: \\f58d;\n$fa-var-grip-horizontal: \\f58d;\n$fa-var-share-from-square: \\f14d;\n$fa-var-share-square: \\f14d;\n$fa-var-child-combatant: \\e4e0;\n$fa-var-child-rifle: \\e4e0;\n$fa-var-gun: \\e19b;\n$fa-var-square-phone: \\f098;\n$fa-var-phone-square: \\f098;\n$fa-var-plus: \\2b;\n$fa-var-add: \\2b;\n$fa-var-expand: \\f065;\n$fa-var-computer: \\e4e5;\n$fa-var-xmark: \\f00d;\n$fa-var-close: \\f00d;\n$fa-var-multiply: \\f00d;\n$fa-var-remove: \\f00d;\n$fa-var-times: \\f00d;\n$fa-var-arrows-up-down-left-right: \\f047;\n$fa-var-arrows: \\f047;\n$fa-var-chalkboard-user: \\f51c;\n$fa-var-chalkboard-teacher: \\f51c;\n$fa-var-peso-sign: \\e222;\n$fa-var-building-shield: \\e4d8;\n$fa-var-baby: \\f77c;\n$fa-var-users-line: \\e592;\n$fa-var-quote-left: \\f10d;\n$fa-var-quote-left-alt: \\f10d;\n$fa-var-tractor: \\f722;\n$fa-var-trash-arrow-up: \\f829;\n$fa-var-trash-restore: \\f829;\n$fa-var-arrow-down-up-lock: \\e4b0;\n$fa-var-lines-leaning: \\e51e;\n$fa-var-ruler-combined: \\f546;\n$fa-var-copyright: \\f1f9;\n$fa-var-equals: \\3d;\n$fa-var-blender: \\f517;\n$fa-var-teeth: \\f62e;\n$fa-var-shekel-sign: \\f20b;\n$fa-var-ils: \\f20b;\n$fa-var-shekel: \\f20b;\n$fa-var-sheqel: \\f20b;\n$fa-var-sheqel-sign: \\f20b;\n$fa-var-map: \\f279;\n$fa-var-rocket: \\f135;\n$fa-var-photo-film: \\f87c;\n$fa-var-photo-video: \\f87c;\n$fa-var-folder-minus: \\f65d;\n$fa-var-store: \\f54e;\n$fa-var-arrow-trend-up: \\e098;\n$fa-var-plug-circle-minus: \\e55e;\n$fa-var-sign-hanging: \\f4d9;\n$fa-var-sign: \\f4d9;\n$fa-var-bezier-curve: \\f55b;\n$fa-var-bell-slash: \\f1f6;\n$fa-var-tablet: \\f3fb;\n$fa-var-tablet-android: \\f3fb;\n$fa-var-school-flag: \\e56e;\n$fa-var-fill: \\f575;\n$fa-var-angle-up: \\f106;\n$fa-var-drumstick-bite: \\f6d7;\n$fa-var-holly-berry: \\f7aa;\n$fa-var-chevron-left: \\f053;\n$fa-var-bacteria: \\e059;\n$fa-var-hand-lizard: \\f258;\n$fa-var-notdef: \\e1fe;\n$fa-var-disease: \\f7fa;\n$fa-var-briefcase-medical: \\f469;\n$fa-var-genderless: \\f22d;\n$fa-var-chevron-right: \\f054;\n$fa-var-retweet: \\f079;\n$fa-var-car-rear: \\f5de;\n$fa-var-car-alt: \\f5de;\n$fa-var-pump-soap: \\e06b;\n$fa-var-video-slash: \\f4e2;\n$fa-var-battery-quarter: \\f243;\n$fa-var-battery-2: \\f243;\n$fa-var-radio: \\f8d7;\n$fa-var-baby-carriage: \\f77d;\n$fa-var-carriage-baby: \\f77d;\n$fa-var-traffic-light: \\f637;\n$fa-var-thermometer: \\f491;\n$fa-var-vr-cardboard: \\f729;\n$fa-var-hand-middle-finger: \\f806;\n$fa-var-percent: \\25;\n$fa-var-percentage: \\25;\n$fa-var-truck-moving: \\f4df;\n$fa-var-glass-water-droplet: \\e4f5;\n$fa-var-display: \\e163;\n$fa-var-face-smile: \\f118;\n$fa-var-smile: \\f118;\n$fa-var-thumbtack: \\f08d;\n$fa-var-thumb-tack: \\f08d;\n$fa-var-trophy: \\f091;\n$fa-var-person-praying: \\f683;\n$fa-var-pray: \\f683;\n$fa-var-hammer: \\f6e3;\n$fa-var-hand-peace: \\f25b;\n$fa-var-rotate: \\f2f1;\n$fa-var-sync-alt: \\f2f1;\n$fa-var-spinner: \\f110;\n$fa-var-robot: \\f544;\n$fa-var-peace: \\f67c;\n$fa-var-gears: \\f085;\n$fa-var-cogs: \\f085;\n$fa-var-warehouse: \\f494;\n$fa-var-arrow-up-right-dots: \\e4b7;\n$fa-var-splotch: \\f5bc;\n$fa-var-face-grin-hearts: \\f584;\n$fa-var-grin-hearts: \\f584;\n$fa-var-dice-four: \\f524;\n$fa-var-sim-card: \\f7c4;\n$fa-var-transgender: \\f225;\n$fa-var-transgender-alt: \\f225;\n$fa-var-mercury: \\f223;\n$fa-var-arrow-turn-down: \\f149;\n$fa-var-level-down: \\f149;\n$fa-var-person-falling-burst: \\e547;\n$fa-var-award: \\f559;\n$fa-var-ticket-simple: \\f3ff;\n$fa-var-ticket-alt: \\f3ff;\n$fa-var-building: \\f1ad;\n$fa-var-angles-left: \\f100;\n$fa-var-angle-double-left: \\f100;\n$fa-var-qrcode: \\f029;\n$fa-var-clock-rotate-left: \\f1da;\n$fa-var-history: \\f1da;\n$fa-var-face-grin-beam-sweat: \\f583;\n$fa-var-grin-beam-sweat: \\f583;\n$fa-var-file-export: \\f56e;\n$fa-var-arrow-right-from-file: \\f56e;\n$fa-var-shield: 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\\f7cd;\n$fa-var-book: \\f02d;\n$fa-var-user-plus: \\f234;\n$fa-var-check: \\f00c;\n$fa-var-battery-three-quarters: \\f241;\n$fa-var-battery-4: \\f241;\n$fa-var-house-circle-check: \\e509;\n$fa-var-angle-left: \\f104;\n$fa-var-diagram-successor: \\e47a;\n$fa-var-truck-arrow-right: \\e58b;\n$fa-var-arrows-split-up-and-left: \\e4bc;\n$fa-var-hand-fist: \\f6de;\n$fa-var-fist-raised: \\f6de;\n$fa-var-cloud-moon: \\f6c3;\n$fa-var-briefcase: \\f0b1;\n$fa-var-person-falling: \\e546;\n$fa-var-image-portrait: \\f3e0;\n$fa-var-portrait: \\f3e0;\n$fa-var-user-tag: \\f507;\n$fa-var-rug: \\e569;\n$fa-var-earth-europe: \\f7a2;\n$fa-var-globe-europe: \\f7a2;\n$fa-var-cart-flatbed-suitcase: \\f59d;\n$fa-var-luggage-cart: \\f59d;\n$fa-var-rectangle-xmark: \\f410;\n$fa-var-rectangle-times: \\f410;\n$fa-var-times-rectangle: \\f410;\n$fa-var-window-close: \\f410;\n$fa-var-baht-sign: \\e0ac;\n$fa-var-book-open: \\f518;\n$fa-var-book-journal-whills: \\f66a;\n$fa-var-journal-whills: \\f66a;\n$fa-var-handcuffs: \\e4f8;\n$fa-var-triangle-exclamation: \\f071;\n$fa-var-exclamation-triangle: \\f071;\n$fa-var-warning: \\f071;\n$fa-var-database: \\f1c0;\n$fa-var-share: \\f064;\n$fa-var-mail-forward: \\f064;\n$fa-var-bottle-droplet: \\e4c4;\n$fa-var-mask-face: \\e1d7;\n$fa-var-hill-rockslide: \\e508;\n$fa-var-right-left: \\f362;\n$fa-var-exchange-alt: \\f362;\n$fa-var-paper-plane: \\f1d8;\n$fa-var-road-circle-exclamation: \\e565;\n$fa-var-dungeon: \\f6d9;\n$fa-var-align-right: \\f038;\n$fa-var-money-bill-1-wave: \\f53b;\n$fa-var-money-bill-wave-alt: \\f53b;\n$fa-var-life-ring: \\f1cd;\n$fa-var-hands: \\f2a7;\n$fa-var-sign-language: \\f2a7;\n$fa-var-signing: \\f2a7;\n$fa-var-calendar-day: \\f783;\n$fa-var-water-ladder: \\f5c5;\n$fa-var-ladder-water: \\f5c5;\n$fa-var-swimming-pool: \\f5c5;\n$fa-var-arrows-up-down: \\f07d;\n$fa-var-arrows-v: \\f07d;\n$fa-var-face-grimace: \\f57f;\n$fa-var-grimace: \\f57f;\n$fa-var-wheelchair-move: \\e2ce;\n$fa-var-wheelchair-alt: \\e2ce;\n$fa-var-turn-down: \\f3be;\n$fa-var-level-down-alt: \\f3be;\n$fa-var-person-walking-arrow-right: \\e552;\n$fa-var-square-envelope: \\f199;\n$fa-var-envelope-square: \\f199;\n$fa-var-dice: \\f522;\n$fa-var-bowling-ball: \\f436;\n$fa-var-brain: \\f5dc;\n$fa-var-bandage: \\f462;\n$fa-var-band-aid: \\f462;\n$fa-var-calendar-minus: \\f272;\n$fa-var-circle-xmark: \\f057;\n$fa-var-times-circle: \\f057;\n$fa-var-xmark-circle: \\f057;\n$fa-var-gifts: \\f79c;\n$fa-var-hotel: \\f594;\n$fa-var-earth-asia: \\f57e;\n$fa-var-globe-asia: \\f57e;\n$fa-var-id-card-clip: \\f47f;\n$fa-var-id-card-alt: \\f47f;\n$fa-var-magnifying-glass-plus: \\f00e;\n$fa-var-search-plus: \\f00e;\n$fa-var-thumbs-up: \\f164;\n$fa-var-user-clock: \\f4fd;\n$fa-var-hand-dots: \\f461;\n$fa-var-allergies: \\f461;\n$fa-var-file-invoice: \\f570;\n$fa-var-window-minimize: \\f2d1;\n$fa-var-mug-saucer: \\f0f4;\n$fa-var-coffee: \\f0f4;\n$fa-var-brush: \\f55d;\n$fa-var-mask: \\f6fa;\n$fa-var-magnifying-glass-minus: \\f010;\n$fa-var-search-minus: \\f010;\n$fa-var-ruler-vertical: \\f548;\n$fa-var-user-large: \\f406;\n$fa-var-user-alt: \\f406;\n$fa-var-train-tram: \\e5b4;\n$fa-var-user-nurse: \\f82f;\n$fa-var-syringe: \\f48e;\n$fa-var-cloud-sun: \\f6c4;\n$fa-var-stopwatch-20: \\e06f;\n$fa-var-square-full: \\f45c;\n$fa-var-magnet: \\f076;\n$fa-var-jar: \\e516;\n$fa-var-note-sticky: \\f249;\n$fa-var-sticky-note: \\f249;\n$fa-var-bug-slash: \\e490;\n$fa-var-arrow-up-from-water-pump: \\e4b6;\n$fa-var-bone: \\f5d7;\n$fa-var-user-injured: \\f728;\n$fa-var-face-sad-tear: \\f5b4;\n$fa-var-sad-tear: \\f5b4;\n$fa-var-plane: \\f072;\n$fa-var-tent-arrows-down: \\e581;\n$fa-var-exclamation: \\21;\n$fa-var-arrows-spin: \\e4bb;\n$fa-var-print: \\f02f;\n$fa-var-turkish-lira-sign: \\e2bb;\n$fa-var-try: \\e2bb;\n$fa-var-turkish-lira: \\e2bb;\n$fa-var-dollar-sign: \\24;\n$fa-var-dollar: \\24;\n$fa-var-usd: \\24;\n$fa-var-x: \\58;\n$fa-var-magnifying-glass-dollar: \\f688;\n$fa-var-search-dollar: \\f688;\n$fa-var-users-gear: \\f509;\n$fa-var-users-cog: \\f509;\n$fa-var-person-military-pointing: \\e54a;\n$fa-var-building-columns: \\f19c;\n$fa-var-bank: \\f19c;\n$fa-var-institution: \\f19c;\n$fa-var-museum: \\f19c;\n$fa-var-university: \\f19c;\n$fa-var-umbrella: \\f0e9;\n$fa-var-trowel: \\e589;\n$fa-var-d: \\44;\n$fa-var-stapler: \\e5af;\n$fa-var-masks-theater: \\f630;\n$fa-var-theater-masks: \\f630;\n$fa-var-kip-sign: \\e1c4;\n$fa-var-hand-point-left: \\f0a5;\n$fa-var-handshake-simple: \\f4c6;\n$fa-var-handshake-alt: \\f4c6;\n$fa-var-jet-fighter: \\f0fb;\n$fa-var-fighter-jet: \\f0fb;\n$fa-var-square-share-nodes: \\f1e1;\n$fa-var-share-alt-square: \\f1e1;\n$fa-var-barcode: \\f02a;\n$fa-var-plus-minus: \\e43c;\n$fa-var-video: \\f03d;\n$fa-var-video-camera: \\f03d;\n$fa-var-graduation-cap: \\f19d;\n$fa-var-mortar-board: \\f19d;\n$fa-var-hand-holding-medical: \\e05c;\n$fa-var-person-circle-check: \\e53e;\n$fa-var-turn-up: \\f3bf;\n$fa-var-level-up-alt: \\f3bf;\n\n$fa-var-monero: \\f3d0;\n$fa-var-hooli: \\f427;\n$fa-var-yelp: \\f1e9;\n$fa-var-cc-visa: \\f1f0;\n$fa-var-lastfm: \\f202;\n$fa-var-shopware: \\f5b5;\n$fa-var-creative-commons-nc: \\f4e8;\n$fa-var-aws: \\f375;\n$fa-var-redhat: \\f7bc;\n$fa-var-yoast: \\f2b1;\n$fa-var-cloudflare: \\e07d;\n$fa-var-ups: \\f7e0;\n$fa-var-pixiv: \\e640;\n$fa-var-wpexplorer: \\f2de;\n$fa-var-dyalog: \\f399;\n$fa-var-bity: \\f37a;\n$fa-var-stackpath: \\f842;\n$fa-var-buysellads: \\f20d;\n$fa-var-first-order: \\f2b0;\n$fa-var-modx: \\f285;\n$fa-var-guilded: \\e07e;\n$fa-var-vnv: \\f40b;\n$fa-var-square-js: \\f3b9;\n$fa-var-js-square: \\f3b9;\n$fa-var-microsoft: \\f3ca;\n$fa-var-qq: \\f1d6;\n$fa-var-orcid: \\f8d2;\n$fa-var-java: \\f4e4;\n$fa-var-invision: \\f7b0;\n$fa-var-creative-commons-pd-alt: \\f4ed;\n$fa-var-centercode: \\f380;\n$fa-var-glide-g: \\f2a6;\n$fa-var-drupal: \\f1a9;\n$fa-var-jxl: \\e67b;\n$fa-var-hire-a-helper: \\f3b0;\n$fa-var-creative-commons-by: \\f4e7;\n$fa-var-unity: \\e049;\n$fa-var-whmcs: \\f40d;\n$fa-var-rocketchat: \\f3e8;\n$fa-var-vk: \\f189;\n$fa-var-untappd: \\f405;\n$fa-var-mailchimp: \\f59e;\n$fa-var-css3-alt: \\f38b;\n$fa-var-square-reddit: \\f1a2;\n$fa-var-reddit-square: \\f1a2;\n$fa-var-vimeo-v: \\f27d;\n$fa-var-contao: \\f26d;\n$fa-var-square-font-awesome: \\e5ad;\n$fa-var-deskpro: \\f38f;\n$fa-var-brave: \\e63c;\n$fa-var-sistrix: \\f3ee;\n$fa-var-square-instagram: \\e055;\n$fa-var-instagram-square: \\e055;\n$fa-var-battle-net: \\f835;\n$fa-var-the-red-yeti: \\f69d;\n$fa-var-square-hacker-news: \\f3af;\n$fa-var-hacker-news-square: \\f3af;\n$fa-var-edge: \\f282;\n$fa-var-threads: \\e618;\n$fa-var-napster: \\f3d2;\n$fa-var-square-snapchat: \\f2ad;\n$fa-var-snapchat-square: \\f2ad;\n$fa-var-google-plus-g: \\f0d5;\n$fa-var-artstation: \\f77a;\n$fa-var-markdown: \\f60f;\n$fa-var-sourcetree: \\f7d3;\n$fa-var-google-plus: \\f2b3;\n$fa-var-diaspora: \\f791;\n$fa-var-foursquare: \\f180;\n$fa-var-stack-overflow: \\f16c;\n$fa-var-github-alt: \\f113;\n$fa-var-phoenix-squadron: \\f511;\n$fa-var-pagelines: \\f18c;\n$fa-var-algolia: \\f36c;\n$fa-var-red-river: \\f3e3;\n$fa-var-creative-commons-sa: \\f4ef;\n$fa-var-safari: \\f267;\n$fa-var-google: \\f1a0;\n$fa-var-square-font-awesome-stroke: \\f35c;\n$fa-var-font-awesome-alt: \\f35c;\n$fa-var-atlassian: \\f77b;\n$fa-var-linkedin-in: \\f0e1;\n$fa-var-digital-ocean: \\f391;\n$fa-var-nimblr: \\f5a8;\n$fa-var-chromecast: \\f838;\n$fa-var-evernote: \\f839;\n$fa-var-hacker-news: \\f1d4;\n$fa-var-creative-commons-sampling: \\f4f0;\n$fa-var-adversal: \\f36a;\n$fa-var-creative-commons: \\f25e;\n$fa-var-watchman-monitoring: \\e087;\n$fa-var-fonticons: \\f280;\n$fa-var-weixin: \\f1d7;\n$fa-var-shirtsinbulk: \\f214;\n$fa-var-codepen: \\f1cb;\n$fa-var-git-alt: \\f841;\n$fa-var-lyft: \\f3c3;\n$fa-var-rev: \\f5b2;\n$fa-var-windows: \\f17a;\n$fa-var-wizards-of-the-coast: \\f730;\n$fa-var-square-viadeo: \\f2aa;\n$fa-var-viadeo-square: \\f2aa;\n$fa-var-meetup: \\f2e0;\n$fa-var-centos: \\f789;\n$fa-var-adn: \\f170;\n$fa-var-cloudsmith: \\f384;\n$fa-var-opensuse: \\e62b;\n$fa-var-pied-piper-alt: \\f1a8;\n$fa-var-square-dribbble: \\f397;\n$fa-var-dribbble-square: \\f397;\n$fa-var-codiepie: \\f284;\n$fa-var-node: \\f419;\n$fa-var-mix: \\f3cb;\n$fa-var-steam: \\f1b6;\n$fa-var-cc-apple-pay: \\f416;\n$fa-var-scribd: \\f28a;\n$fa-var-debian: \\e60b;\n$fa-var-openid: \\f19b;\n$fa-var-instalod: \\e081;\n$fa-var-expeditedssl: \\f23e;\n$fa-var-sellcast: \\f2da;\n$fa-var-square-twitter: \\f081;\n$fa-var-twitter-square: \\f081;\n$fa-var-r-project: \\f4f7;\n$fa-var-delicious: \\f1a5;\n$fa-var-freebsd: \\f3a4;\n$fa-var-vuejs: \\f41f;\n$fa-var-accusoft: \\f369;\n$fa-var-ioxhost: \\f208;\n$fa-var-fonticons-fi: \\f3a2;\n$fa-var-app-store: \\f36f;\n$fa-var-cc-mastercard: \\f1f1;\n$fa-var-itunes-note: \\f3b5;\n$fa-var-golang: \\e40f;\n$fa-var-kickstarter: \\f3bb;\n$fa-var-square-kickstarter: \\f3bb;\n$fa-var-grav: \\f2d6;\n$fa-var-weibo: \\f18a;\n$fa-var-uncharted: \\e084;\n$fa-var-firstdraft: \\f3a1;\n$fa-var-square-youtube: \\f431;\n$fa-var-youtube-square: \\f431;\n$fa-var-wikipedia-w: \\f266;\n$fa-var-wpressr: \\f3e4;\n$fa-var-rendact: \\f3e4;\n$fa-var-angellist: \\f209;\n$fa-var-galactic-republic: \\f50c;\n$fa-var-nfc-directional: \\e530;\n$fa-var-skype: \\f17e;\n$fa-var-joget: \\f3b7;\n$fa-var-fedora: \\f798;\n$fa-var-stripe-s: \\f42a;\n$fa-var-meta: \\e49b;\n$fa-var-laravel: \\f3bd;\n$fa-var-hotjar: \\f3b1;\n$fa-var-bluetooth-b: \\f294;\n$fa-var-square-letterboxd: \\e62e;\n$fa-var-sticker-mule: \\f3f7;\n$fa-var-creative-commons-zero: \\f4f3;\n$fa-var-hips: \\f452;\n$fa-var-behance: \\f1b4;\n$fa-var-reddit: \\f1a1;\n$fa-var-discord: \\f392;\n$fa-var-chrome: \\f268;\n$fa-var-app-store-ios: \\f370;\n$fa-var-cc-discover: \\f1f2;\n$fa-var-wpbeginner: \\f297;\n$fa-var-confluence: \\f78d;\n$fa-var-shoelace: \\e60c;\n$fa-var-mdb: \\f8ca;\n$fa-var-dochub: \\f394;\n$fa-var-accessible-icon: \\f368;\n$fa-var-ebay: \\f4f4;\n$fa-var-amazon: \\f270;\n$fa-var-unsplash: \\e07c;\n$fa-var-yarn: \\f7e3;\n$fa-var-square-steam: \\f1b7;\n$fa-var-steam-square: \\f1b7;\n$fa-var-500px: \\f26e;\n$fa-var-square-vimeo: \\f194;\n$fa-var-vimeo-square: \\f194;\n$fa-var-asymmetrik: \\f372;\n$fa-var-font-awesome: \\f2b4;\n$fa-var-font-awesome-flag: \\f2b4;\n$fa-var-font-awesome-logo-full: \\f2b4;\n$fa-var-gratipay: \\f184;\n$fa-var-apple: \\f179;\n$fa-var-hive: \\e07f;\n$fa-var-gitkraken: \\f3a6;\n$fa-var-keybase: \\f4f5;\n$fa-var-apple-pay: \\f415;\n$fa-var-padlet: \\e4a0;\n$fa-var-amazon-pay: \\f42c;\n$fa-var-square-github: \\f092;\n$fa-var-github-square: \\f092;\n$fa-var-stumbleupon: \\f1a4;\n$fa-var-fedex: \\f797;\n$fa-var-phoenix-framework: \\f3dc;\n$fa-var-shopify: \\e057;\n$fa-var-neos: \\f612;\n$fa-var-square-threads: \\e619;\n$fa-var-hackerrank: \\f5f7;\n$fa-var-researchgate: \\f4f8;\n$fa-var-swift: \\f8e1;\n$fa-var-angular: \\f420;\n$fa-var-speakap: \\f3f3;\n$fa-var-angrycreative: \\f36e;\n$fa-var-y-combinator: \\f23b;\n$fa-var-empire: \\f1d1;\n$fa-var-envira: \\f299;\n$fa-var-google-scholar: \\e63b;\n$fa-var-square-gitlab: \\e5ae;\n$fa-var-gitlab-square: \\e5ae;\n$fa-var-studiovinari: \\f3f8;\n$fa-var-pied-piper: \\f2ae;\n$fa-var-wordpress: \\f19a;\n$fa-var-product-hunt: \\f288;\n$fa-var-firefox: \\f269;\n$fa-var-linode: \\f2b8;\n$fa-var-goodreads: \\f3a8;\n$fa-var-square-odnoklassniki: \\f264;\n$fa-var-odnoklassniki-square: \\f264;\n$fa-var-jsfiddle: \\f1cc;\n$fa-var-sith: \\f512;\n$fa-var-themeisle: \\f2b2;\n$fa-var-page4: \\f3d7;\n$fa-var-hashnode: \\e499;\n$fa-var-react: \\f41b;\n$fa-var-cc-paypal: \\f1f4;\n$fa-var-squarespace: \\f5be;\n$fa-var-cc-stripe: \\f1f5;\n$fa-var-creative-commons-share: \\f4f2;\n$fa-var-bitcoin: \\f379;\n$fa-var-keycdn: \\f3ba;\n$fa-var-opera: \\f26a;\n$fa-var-itch-io: \\f83a;\n$fa-var-umbraco: \\f8e8;\n$fa-var-galactic-senate: \\f50d;\n$fa-var-ubuntu: \\f7df;\n$fa-var-draft2digital: \\f396;\n$fa-var-stripe: \\f429;\n$fa-var-houzz: \\f27c;\n$fa-var-gg: \\f260;\n$fa-var-dhl: \\f790;\n$fa-var-square-pinterest: \\f0d3;\n$fa-var-pinterest-square: \\f0d3;\n$fa-var-xing: \\f168;\n$fa-var-blackberry: \\f37b;\n$fa-var-creative-commons-pd: \\f4ec;\n$fa-var-playstation: \\f3df;\n$fa-var-quinscape: \\f459;\n$fa-var-less: \\f41d;\n$fa-var-blogger-b: \\f37d;\n$fa-var-opencart: \\f23d;\n$fa-var-vine: \\f1ca;\n$fa-var-signal-messenger: \\e663;\n$fa-var-paypal: \\f1ed;\n$fa-var-gitlab: \\f296;\n$fa-var-typo3: \\f42b;\n$fa-var-reddit-alien: \\f281;\n$fa-var-yahoo: \\f19e;\n$fa-var-dailymotion: \\e052;\n$fa-var-affiliatetheme: \\f36b;\n$fa-var-pied-piper-pp: \\f1a7;\n$fa-var-bootstrap: \\f836;\n$fa-var-odnoklassniki: \\f263;\n$fa-var-nfc-symbol: \\e531;\n$fa-var-mintbit: \\e62f;\n$fa-var-ethereum: \\f42e;\n$fa-var-speaker-deck: \\f83c;\n$fa-var-creative-commons-nc-eu: \\f4e9;\n$fa-var-patreon: \\f3d9;\n$fa-var-avianex: \\f374;\n$fa-var-ello: \\f5f1;\n$fa-var-gofore: \\f3a7;\n$fa-var-bimobject: \\f378;\n$fa-var-brave-reverse: \\e63d;\n$fa-var-facebook-f: \\f39e;\n$fa-var-square-google-plus: \\f0d4;\n$fa-var-google-plus-square: \\f0d4;\n$fa-var-web-awesome: \\e682;\n$fa-var-mandalorian: \\f50f;\n$fa-var-first-order-alt: \\f50a;\n$fa-var-osi: \\f41a;\n$fa-var-google-wallet: \\f1ee;\n$fa-var-d-and-d-beyond: \\f6ca;\n$fa-var-periscope: \\f3da;\n$fa-var-fulcrum: \\f50b;\n$fa-var-cloudscale: \\f383;\n$fa-var-forumbee: \\f211;\n$fa-var-mizuni: \\f3cc;\n$fa-var-schlix: \\f3ea;\n$fa-var-square-xing: \\f169;\n$fa-var-xing-square: \\f169;\n$fa-var-bandcamp: \\f2d5;\n$fa-var-wpforms: \\f298;\n$fa-var-cloudversify: \\f385;\n$fa-var-usps: \\f7e1;\n$fa-var-megaport: \\f5a3;\n$fa-var-magento: \\f3c4;\n$fa-var-spotify: \\f1bc;\n$fa-var-optin-monster: \\f23c;\n$fa-var-fly: \\f417;\n$fa-var-aviato: \\f421;\n$fa-var-itunes: \\f3b4;\n$fa-var-cuttlefish: \\f38c;\n$fa-var-blogger: \\f37c;\n$fa-var-flickr: \\f16e;\n$fa-var-viber: \\f409;\n$fa-var-soundcloud: \\f1be;\n$fa-var-digg: \\f1a6;\n$fa-var-tencent-weibo: \\f1d5;\n$fa-var-letterboxd: \\e62d;\n$fa-var-symfony: \\f83d;\n$fa-var-maxcdn: \\f136;\n$fa-var-etsy: \\f2d7;\n$fa-var-facebook-messenger: \\f39f;\n$fa-var-audible: \\f373;\n$fa-var-think-peaks: \\f731;\n$fa-var-bilibili: \\e3d9;\n$fa-var-erlang: \\f39d;\n$fa-var-x-twitter: \\e61b;\n$fa-var-cotton-bureau: \\f89e;\n$fa-var-dashcube: \\f210;\n$fa-var-42-group: \\e080;\n$fa-var-innosoft: \\e080;\n$fa-var-stack-exchange: \\f18d;\n$fa-var-elementor: \\f430;\n$fa-var-square-pied-piper: \\e01e;\n$fa-var-pied-piper-square: \\e01e;\n$fa-var-creative-commons-nd: \\f4eb;\n$fa-var-palfed: \\f3d8;\n$fa-var-superpowers: \\f2dd;\n$fa-var-resolving: \\f3e7;\n$fa-var-xbox: \\f412;\n$fa-var-square-web-awesome-stroke: \\e684;\n$fa-var-searchengin: \\f3eb;\n$fa-var-tiktok: \\e07b;\n$fa-var-square-facebook: \\f082;\n$fa-var-facebook-square: \\f082;\n$fa-var-renren: \\f18b;\n$fa-var-linux: \\f17c;\n$fa-var-glide: \\f2a5;\n$fa-var-linkedin: \\f08c;\n$fa-var-hubspot: \\f3b2;\n$fa-var-deploydog: \\f38e;\n$fa-var-twitch: \\f1e8;\n$fa-var-ravelry: \\f2d9;\n$fa-var-mixer: \\e056;\n$fa-var-square-lastfm: \\f203;\n$fa-var-lastfm-square: \\f203;\n$fa-var-vimeo: \\f40a;\n$fa-var-mendeley: \\f7b3;\n$fa-var-uniregistry: \\f404;\n$fa-var-figma: \\f799;\n$fa-var-creative-commons-remix: \\f4ee;\n$fa-var-cc-amazon-pay: \\f42d;\n$fa-var-dropbox: \\f16b;\n$fa-var-instagram: \\f16d;\n$fa-var-cmplid: \\e360;\n$fa-var-upwork: \\e641;\n$fa-var-facebook: \\f09a;\n$fa-var-gripfire: \\f3ac;\n$fa-var-jedi-order: \\f50e;\n$fa-var-uikit: \\f403;\n$fa-var-fort-awesome-alt: \\f3a3;\n$fa-var-phabricator: \\f3db;\n$fa-var-ussunnah: \\f407;\n$fa-var-earlybirds: \\f39a;\n$fa-var-trade-federation: \\f513;\n$fa-var-autoprefixer: \\f41c;\n$fa-var-whatsapp: \\f232;\n$fa-var-square-upwork: \\e67c;\n$fa-var-slideshare: \\f1e7;\n$fa-var-google-play: \\f3ab;\n$fa-var-viadeo: \\f2a9;\n$fa-var-line: \\f3c0;\n$fa-var-google-drive: \\f3aa;\n$fa-var-servicestack: \\f3ec;\n$fa-var-simplybuilt: \\f215;\n$fa-var-bitbucket: \\f171;\n$fa-var-imdb: \\f2d8;\n$fa-var-deezer: \\e077;\n$fa-var-raspberry-pi: \\f7bb;\n$fa-var-jira: \\f7b1;\n$fa-var-docker: \\f395;\n$fa-var-screenpal: \\e570;\n$fa-var-bluetooth: \\f293;\n$fa-var-gitter: \\f426;\n$fa-var-d-and-d: \\f38d;\n$fa-var-microblog: \\e01a;\n$fa-var-cc-diners-club: \\f24c;\n$fa-var-gg-circle: \\f261;\n$fa-var-pied-piper-hat: \\f4e5;\n$fa-var-kickstarter-k: \\f3bc;\n$fa-var-yandex: \\f413;\n$fa-var-readme: \\f4d5;\n$fa-var-html5: \\f13b;\n$fa-var-sellsy: \\f213;\n$fa-var-square-web-awesome: \\e683;\n$fa-var-sass: \\f41e;\n$fa-var-wirsindhandwerk: \\e2d0;\n$fa-var-wsh: \\e2d0;\n$fa-var-buromobelexperte: \\f37f;\n$fa-var-salesforce: \\f83b;\n$fa-var-octopus-deploy: \\e082;\n$fa-var-medapps: \\f3c6;\n$fa-var-ns8: \\f3d5;\n$fa-var-pinterest-p: \\f231;\n$fa-var-apper: \\f371;\n$fa-var-fort-awesome: \\f286;\n$fa-var-waze: \\f83f;\n$fa-var-bluesky: \\e671;\n$fa-var-cc-jcb: \\f24b;\n$fa-var-snapchat: \\f2ab;\n$fa-var-snapchat-ghost: \\f2ab;\n$fa-var-fantasy-flight-games: \\f6dc;\n$fa-var-rust: \\e07a;\n$fa-var-wix: \\f5cf;\n$fa-var-square-behance: \\f1b5;\n$fa-var-behance-square: \\f1b5;\n$fa-var-supple: \\f3f9;\n$fa-var-webflow: \\e65c;\n$fa-var-rebel: \\f1d0;\n$fa-var-css3: \\f13c;\n$fa-var-staylinked: \\f3f5;\n$fa-var-kaggle: \\f5fa;\n$fa-var-space-awesome: \\e5ac;\n$fa-var-deviantart: \\f1bd;\n$fa-var-cpanel: \\f388;\n$fa-var-goodreads-g: \\f3a9;\n$fa-var-square-git: \\f1d2;\n$fa-var-git-square: \\f1d2;\n$fa-var-square-tumblr: \\f174;\n$fa-var-tumblr-square: \\f174;\n$fa-var-trello: \\f181;\n$fa-var-creative-commons-nc-jp: \\f4ea;\n$fa-var-get-pocket: \\f265;\n$fa-var-perbyte: \\e083;\n$fa-var-grunt: \\f3ad;\n$fa-var-weebly: \\f5cc;\n$fa-var-connectdevelop: \\f20e;\n$fa-var-leanpub: \\f212;\n$fa-var-black-tie: \\f27e;\n$fa-var-themeco: \\f5c6;\n$fa-var-python: \\f3e2;\n$fa-var-android: \\f17b;\n$fa-var-bots: \\e340;\n$fa-var-free-code-camp: \\f2c5;\n$fa-var-hornbill: \\f592;\n$fa-var-js: \\f3b8;\n$fa-var-ideal: \\e013;\n$fa-var-git: \\f1d3;\n$fa-var-dev: \\f6cc;\n$fa-var-sketch: \\f7c6;\n$fa-var-yandex-international: \\f414;\n$fa-var-cc-amex: \\f1f3;\n$fa-var-uber: \\f402;\n$fa-var-github: \\f09b;\n$fa-var-php: \\f457;\n$fa-var-alipay: \\f642;\n$fa-var-youtube: \\f167;\n$fa-var-skyatlas: \\f216;\n$fa-var-firefox-browser: \\e007;\n$fa-var-replyd: \\f3e6;\n$fa-var-suse: \\f7d6;\n$fa-var-jenkins: \\f3b6;\n$fa-var-twitter: \\f099;\n$fa-var-rockrms: \\f3e9;\n$fa-var-pinterest: \\f0d2;\n$fa-var-buffer: \\f837;\n$fa-var-npm: \\f3d4;\n$fa-var-yammer: \\f840;\n$fa-var-btc: \\f15a;\n$fa-var-dribbble: \\f17d;\n$fa-var-stumbleupon-circle: \\f1a3;\n$fa-var-internet-explorer: \\f26b;\n$fa-var-stubber: \\e5c7;\n$fa-var-telegram: \\f2c6;\n$fa-var-telegram-plane: \\f2c6;\n$fa-var-old-republic: \\f510;\n$fa-var-odysee: \\e5c6;\n$fa-var-square-whatsapp: \\f40c;\n$fa-var-whatsapp-square: \\f40c;\n$fa-var-node-js: \\f3d3;\n$fa-var-edge-legacy: \\e078;\n$fa-var-slack: \\f198;\n$fa-var-slack-hash: \\f198;\n$fa-var-medrt: \\f3c8;\n$fa-var-usb: \\f287;\n$fa-var-tumblr: \\f173;\n$fa-var-vaadin: \\f408;\n$fa-var-quora: \\f2c4;\n$fa-var-square-x-twitter: \\e61a;\n$fa-var-reacteurope: \\f75d;\n$fa-var-medium: \\f23a;\n$fa-var-medium-m: \\f23a;\n$fa-var-amilia: \\f36d;\n$fa-var-mixcloud: \\f289;\n$fa-var-flipboard: \\f44d;\n$fa-var-viacoin: \\f237;\n$fa-var-critical-role: \\f6c9;\n$fa-var-sitrox: \\e44a;\n$fa-var-discourse: \\f393;\n$fa-var-joomla: \\f1aa;\n$fa-var-mastodon: \\f4f6;\n$fa-var-airbnb: \\f834;\n$fa-var-wolf-pack-battalion: \\f514;\n$fa-var-buy-n-large: \\f8a6;\n$fa-var-gulp: \\f3ae;\n$fa-var-creative-commons-sampling-plus: \\f4f1;\n$fa-var-strava: \\f428;\n$fa-var-ember: \\f423;\n$fa-var-canadian-maple-leaf: \\f785;\n$fa-var-teamspeak: \\f4f9;\n$fa-var-pushed: \\f3e1;\n$fa-var-wordpress-simple: \\f411;\n$fa-var-nutritionix: \\f3d6;\n$fa-var-wodu: \\e088;\n$fa-var-google-pay: \\e079;\n$fa-var-intercom: \\f7af;\n$fa-var-zhihu: \\f63f;\n$fa-var-korvue: \\f42f;\n$fa-var-pix: \\e43a;\n$fa-var-steam-symbol: \\f3f6;\n\n$fa-icons: (\n  \"0\": $fa-var-0,\n  \"1\": $fa-var-1,\n  \"2\": $fa-var-2,\n  \"3\": $fa-var-3,\n  \"4\": $fa-var-4,\n  \"5\": $fa-var-5,\n  \"6\": $fa-var-6,\n  \"7\": $fa-var-7,\n  \"8\": $fa-var-8,\n  \"9\": $fa-var-9,\n  \"fill-drip\": $fa-var-fill-drip,\n  \"arrows-to-circle\": $fa-var-arrows-to-circle,\n  \"circle-chevron-right\": $fa-var-circle-chevron-right,\n  \"chevron-circle-right\": $fa-var-chevron-circle-right,\n  \"at\": $fa-var-at,\n  \"trash-can\": $fa-var-trash-can,\n  \"trash-alt\": $fa-var-trash-alt,\n  \"text-height\": $fa-var-text-height,\n  \"user-xmark\": $fa-var-user-xmark,\n  \"user-times\": $fa-var-user-times,\n  \"stethoscope\": $fa-var-stethoscope,\n  \"message\": $fa-var-message,\n  \"comment-alt\": $fa-var-comment-alt,\n  \"info\": $fa-var-info,\n  \"down-left-and-up-right-to-center\": $fa-var-down-left-and-up-right-to-center,\n  \"compress-alt\": $fa-var-compress-alt,\n  \"explosion\": $fa-var-explosion,\n  \"file-lines\": $fa-var-file-lines,\n  \"file-alt\": $fa-var-file-alt,\n  \"file-text\": $fa-var-file-text,\n  \"wave-square\": $fa-var-wave-square,\n  \"ring\": $fa-var-ring,\n  \"building-un\": $fa-var-building-un,\n  \"dice-three\": $fa-var-dice-three,\n  \"calendar-days\": $fa-var-calendar-days,\n  \"calendar-alt\": $fa-var-calendar-alt,\n  \"anchor-circle-check\": $fa-var-anchor-circle-check,\n  \"building-circle-arrow-right\": $fa-var-building-circle-arrow-right,\n  \"volleyball\": $fa-var-volleyball,\n  \"volleyball-ball\": $fa-var-volleyball-ball,\n  \"arrows-up-to-line\": $fa-var-arrows-up-to-line,\n  \"sort-down\": $fa-var-sort-down,\n  \"sort-desc\": $fa-var-sort-desc,\n  \"circle-minus\": $fa-var-circle-minus,\n  \"minus-circle\": $fa-var-minus-circle,\n  \"door-open\": $fa-var-door-open,\n  \"right-from-bracket\": $fa-var-right-from-bracket,\n  \"sign-out-alt\": $fa-var-sign-out-alt,\n  \"atom\": $fa-var-atom,\n  \"soap\": $fa-var-soap,\n  \"icons\": $fa-var-icons,\n  \"heart-music-camera-bolt\": $fa-var-heart-music-camera-bolt,\n  \"microphone-lines-slash\": $fa-var-microphone-lines-slash,\n  \"microphone-alt-slash\": $fa-var-microphone-alt-slash,\n  \"bridge-circle-check\": $fa-var-bridge-circle-check,\n  \"pump-medical\": $fa-var-pump-medical,\n  \"fingerprint\": $fa-var-fingerprint,\n  \"hand-point-right\": $fa-var-hand-point-right,\n  \"magnifying-glass-location\": $fa-var-magnifying-glass-location,\n  \"search-location\": $fa-var-search-location,\n  \"forward-step\": $fa-var-forward-step,\n  \"step-forward\": $fa-var-step-forward,\n  \"face-smile-beam\": $fa-var-face-smile-beam,\n  \"smile-beam\": $fa-var-smile-beam,\n  \"flag-checkered\": $fa-var-flag-checkered,\n  \"football\": $fa-var-football,\n  \"football-ball\": $fa-var-football-ball,\n  \"school-circle-exclamation\": $fa-var-school-circle-exclamation,\n  \"crop\": $fa-var-crop,\n  \"angles-down\": $fa-var-angles-down,\n  \"angle-double-down\": $fa-var-angle-double-down,\n  \"users-rectangle\": $fa-var-users-rectangle,\n  \"people-roof\": $fa-var-people-roof,\n  \"people-line\": $fa-var-people-line,\n  \"beer-mug-empty\": $fa-var-beer-mug-empty,\n  \"beer\": $fa-var-beer,\n  \"diagram-predecessor\": $fa-var-diagram-predecessor,\n  \"arrow-up-long\": $fa-var-arrow-up-long,\n  \"long-arrow-up\": $fa-var-long-arrow-up,\n  \"fire-flame-simple\": $fa-var-fire-flame-simple,\n  \"burn\": $fa-var-burn,\n  \"person\": $fa-var-person,\n  \"male\": $fa-var-male,\n  \"laptop\": $fa-var-laptop,\n  \"file-csv\": $fa-var-file-csv,\n  \"menorah\": $fa-var-menorah,\n  \"truck-plane\": $fa-var-truck-plane,\n  \"record-vinyl\": $fa-var-record-vinyl,\n  \"face-grin-stars\": $fa-var-face-grin-stars,\n  \"grin-stars\": $fa-var-grin-stars,\n  \"bong\": $fa-var-bong,\n  \"spaghetti-monster-flying\": $fa-var-spaghetti-monster-flying,\n  \"pastafarianism\": $fa-var-pastafarianism,\n  \"arrow-down-up-across-line\": $fa-var-arrow-down-up-across-line,\n  \"spoon\": $fa-var-spoon,\n  \"utensil-spoon\": $fa-var-utensil-spoon,\n  \"jar-wheat\": $fa-var-jar-wheat,\n  \"envelopes-bulk\": $fa-var-envelopes-bulk,\n  \"mail-bulk\": $fa-var-mail-bulk,\n  \"file-circle-exclamation\": $fa-var-file-circle-exclamation,\n  \"circle-h\": $fa-var-circle-h,\n  \"hospital-symbol\": $fa-var-hospital-symbol,\n  \"pager\": $fa-var-pager,\n  \"address-book\": $fa-var-address-book,\n  \"contact-book\": $fa-var-contact-book,\n  \"strikethrough\": $fa-var-strikethrough,\n  \"k\": $fa-var-k,\n  \"landmark-flag\": $fa-var-landmark-flag,\n  \"pencil\": $fa-var-pencil,\n  \"pencil-alt\": $fa-var-pencil-alt,\n  \"backward\": $fa-var-backward,\n  \"caret-right\": $fa-var-caret-right,\n  \"comments\": $fa-var-comments,\n  \"paste\": $fa-var-paste,\n  \"file-clipboard\": $fa-var-file-clipboard,\n  \"code-pull-request\": $fa-var-code-pull-request,\n  \"clipboard-list\": $fa-var-clipboard-list,\n  \"truck-ramp-box\": $fa-var-truck-ramp-box,\n  \"truck-loading\": $fa-var-truck-loading,\n  \"user-check\": $fa-var-user-check,\n  \"vial-virus\": $fa-var-vial-virus,\n  \"sheet-plastic\": $fa-var-sheet-plastic,\n  \"blog\": $fa-var-blog,\n  \"user-ninja\": $fa-var-user-ninja,\n  \"person-arrow-up-from-line\": $fa-var-person-arrow-up-from-line,\n  \"scroll-torah\": $fa-var-scroll-torah,\n  \"torah\": $fa-var-torah,\n  \"broom-ball\": $fa-var-broom-ball,\n  \"quidditch\": $fa-var-quidditch,\n  \"quidditch-broom-ball\": $fa-var-quidditch-broom-ball,\n  \"toggle-off\": $fa-var-toggle-off,\n  \"box-archive\": $fa-var-box-archive,\n  \"archive\": $fa-var-archive,\n  \"person-drowning\": $fa-var-person-drowning,\n  \"arrow-down-9-1\": $fa-var-arrow-down-9-1,\n  \"sort-numeric-desc\": $fa-var-sort-numeric-desc,\n  \"sort-numeric-down-alt\": $fa-var-sort-numeric-down-alt,\n  \"face-grin-tongue-squint\": $fa-var-face-grin-tongue-squint,\n  \"grin-tongue-squint\": $fa-var-grin-tongue-squint,\n  \"spray-can\": $fa-var-spray-can,\n  \"truck-monster\": $fa-var-truck-monster,\n  \"w\": $fa-var-w,\n  \"earth-africa\": $fa-var-earth-africa,\n  \"globe-africa\": $fa-var-globe-africa,\n  \"rainbow\": $fa-var-rainbow,\n  \"circle-notch\": $fa-var-circle-notch,\n  \"tablet-screen-button\": $fa-var-tablet-screen-button,\n  \"tablet-alt\": $fa-var-tablet-alt,\n  \"paw\": $fa-var-paw,\n  \"cloud\": $fa-var-cloud,\n  \"trowel-bricks\": $fa-var-trowel-bricks,\n  \"face-flushed\": $fa-var-face-flushed,\n  \"flushed\": $fa-var-flushed,\n  \"hospital-user\": $fa-var-hospital-user,\n  \"tent-arrow-left-right\": $fa-var-tent-arrow-left-right,\n  \"gavel\": $fa-var-gavel,\n  \"legal\": $fa-var-legal,\n  \"binoculars\": $fa-var-binoculars,\n  \"microphone-slash\": $fa-var-microphone-slash,\n  \"box-tissue\": $fa-var-box-tissue,\n  \"motorcycle\": $fa-var-motorcycle,\n  \"bell-concierge\": $fa-var-bell-concierge,\n  \"concierge-bell\": $fa-var-concierge-bell,\n  \"pen-ruler\": $fa-var-pen-ruler,\n  \"pencil-ruler\": $fa-var-pencil-ruler,\n  \"people-arrows\": $fa-var-people-arrows,\n  \"people-arrows-left-right\": $fa-var-people-arrows-left-right,\n  \"mars-and-venus-burst\": $fa-var-mars-and-venus-burst,\n  \"square-caret-right\": $fa-var-square-caret-right,\n  \"caret-square-right\": $fa-var-caret-square-right,\n  \"scissors\": $fa-var-scissors,\n  \"cut\": $fa-var-cut,\n  \"sun-plant-wilt\": $fa-var-sun-plant-wilt,\n  \"toilets-portable\": $fa-var-toilets-portable,\n  \"hockey-puck\": $fa-var-hockey-puck,\n  \"table\": $fa-var-table,\n  \"magnifying-glass-arrow-right\": $fa-var-magnifying-glass-arrow-right,\n  \"tachograph-digital\": $fa-var-tachograph-digital,\n  \"digital-tachograph\": $fa-var-digital-tachograph,\n  \"users-slash\": $fa-var-users-slash,\n  \"clover\": $fa-var-clover,\n  \"reply\": $fa-var-reply,\n  \"mail-reply\": $fa-var-mail-reply,\n  \"star-and-crescent\": $fa-var-star-and-crescent,\n  \"house-fire\": $fa-var-house-fire,\n  \"square-minus\": $fa-var-square-minus,\n  \"minus-square\": $fa-var-minus-square,\n  \"helicopter\": $fa-var-helicopter,\n  \"compass\": $fa-var-compass,\n  \"square-caret-down\": $fa-var-square-caret-down,\n  \"caret-square-down\": $fa-var-caret-square-down,\n  \"file-circle-question\": $fa-var-file-circle-question,\n  \"laptop-code\": $fa-var-laptop-code,\n  \"swatchbook\": $fa-var-swatchbook,\n  \"prescription-bottle\": $fa-var-prescription-bottle,\n  \"bars\": $fa-var-bars,\n  \"navicon\": $fa-var-navicon,\n  \"people-group\": $fa-var-people-group,\n  \"hourglass-end\": $fa-var-hourglass-end,\n  \"hourglass-3\": $fa-var-hourglass-3,\n  \"heart-crack\": $fa-var-heart-crack,\n  \"heart-broken\": $fa-var-heart-broken,\n  \"square-up-right\": $fa-var-square-up-right,\n  \"external-link-square-alt\": $fa-var-external-link-square-alt,\n  \"face-kiss-beam\": $fa-var-face-kiss-beam,\n  \"kiss-beam\": $fa-var-kiss-beam,\n  \"film\": $fa-var-film,\n  \"ruler-horizontal\": $fa-var-ruler-horizontal,\n  \"people-robbery\": $fa-var-people-robbery,\n  \"lightbulb\": $fa-var-lightbulb,\n  \"caret-left\": $fa-var-caret-left,\n  \"circle-exclamation\": $fa-var-circle-exclamation,\n  \"exclamation-circle\": $fa-var-exclamation-circle,\n  \"school-circle-xmark\": $fa-var-school-circle-xmark,\n  \"arrow-right-from-bracket\": $fa-var-arrow-right-from-bracket,\n  \"sign-out\": $fa-var-sign-out,\n  \"circle-chevron-down\": $fa-var-circle-chevron-down,\n  \"chevron-circle-down\": $fa-var-chevron-circle-down,\n  \"unlock-keyhole\": $fa-var-unlock-keyhole,\n  \"unlock-alt\": $fa-var-unlock-alt,\n  \"cloud-showers-heavy\": $fa-var-cloud-showers-heavy,\n  \"headphones-simple\": $fa-var-headphones-simple,\n  \"headphones-alt\": $fa-var-headphones-alt,\n  \"sitemap\": $fa-var-sitemap,\n  \"circle-dollar-to-slot\": $fa-var-circle-dollar-to-slot,\n  \"donate\": $fa-var-donate,\n  \"memory\": $fa-var-memory,\n  \"road-spikes\": $fa-var-road-spikes,\n  \"fire-burner\": $fa-var-fire-burner,\n  \"flag\": $fa-var-flag,\n  \"hanukiah\": $fa-var-hanukiah,\n  \"feather\": $fa-var-feather,\n  \"volume-low\": $fa-var-volume-low,\n  \"volume-down\": $fa-var-volume-down,\n  \"comment-slash\": $fa-var-comment-slash,\n  \"cloud-sun-rain\": $fa-var-cloud-sun-rain,\n  \"compress\": $fa-var-compress,\n  \"wheat-awn\": $fa-var-wheat-awn,\n  \"wheat-alt\": $fa-var-wheat-alt,\n  \"ankh\": $fa-var-ankh,\n  \"hands-holding-child\": $fa-var-hands-holding-child,\n  \"asterisk\": $fa-var-asterisk,\n  \"square-check\": $fa-var-square-check,\n  \"check-square\": $fa-var-check-square,\n  \"peseta-sign\": $fa-var-peseta-sign,\n  \"heading\": $fa-var-heading,\n  \"header\": $fa-var-header,\n  \"ghost\": $fa-var-ghost,\n  \"list\": $fa-var-list,\n  \"list-squares\": $fa-var-list-squares,\n  \"square-phone-flip\": $fa-var-square-phone-flip,\n  \"phone-square-alt\": $fa-var-phone-square-alt,\n  \"cart-plus\": $fa-var-cart-plus,\n  \"gamepad\": $fa-var-gamepad,\n  \"circle-dot\": $fa-var-circle-dot,\n  \"dot-circle\": $fa-var-dot-circle,\n  \"face-dizzy\": $fa-var-face-dizzy,\n  \"dizzy\": $fa-var-dizzy,\n  \"egg\": $fa-var-egg,\n  \"house-medical-circle-xmark\": $fa-var-house-medical-circle-xmark,\n  \"campground\": $fa-var-campground,\n  \"folder-plus\": $fa-var-folder-plus,\n  \"futbol\": $fa-var-futbol,\n  \"futbol-ball\": $fa-var-futbol-ball,\n  \"soccer-ball\": $fa-var-soccer-ball,\n  \"paintbrush\": $fa-var-paintbrush,\n  \"paint-brush\": $fa-var-paint-brush,\n  \"lock\": $fa-var-lock,\n  \"gas-pump\": $fa-var-gas-pump,\n  \"hot-tub-person\": $fa-var-hot-tub-person,\n  \"hot-tub\": $fa-var-hot-tub,\n  \"map-location\": $fa-var-map-location,\n  \"map-marked\": $fa-var-map-marked,\n  \"house-flood-water\": $fa-var-house-flood-water,\n  \"tree\": $fa-var-tree,\n  \"bridge-lock\": $fa-var-bridge-lock,\n  \"sack-dollar\": $fa-var-sack-dollar,\n  \"pen-to-square\": $fa-var-pen-to-square,\n  \"edit\": $fa-var-edit,\n  \"car-side\": $fa-var-car-side,\n  \"share-nodes\": $fa-var-share-nodes,\n  \"share-alt\": $fa-var-share-alt,\n  \"heart-circle-minus\": $fa-var-heart-circle-minus,\n  \"hourglass-half\": $fa-var-hourglass-half,\n  \"hourglass-2\": $fa-var-hourglass-2,\n  \"microscope\": $fa-var-microscope,\n  \"sink\": $fa-var-sink,\n  \"bag-shopping\": $fa-var-bag-shopping,\n  \"shopping-bag\": $fa-var-shopping-bag,\n  \"arrow-down-z-a\": $fa-var-arrow-down-z-a,\n  \"sort-alpha-desc\": $fa-var-sort-alpha-desc,\n  \"sort-alpha-down-alt\": $fa-var-sort-alpha-down-alt,\n  \"mitten\": $fa-var-mitten,\n  \"person-rays\": $fa-var-person-rays,\n  \"users\": $fa-var-users,\n  \"eye-slash\": $fa-var-eye-slash,\n  \"flask-vial\": $fa-var-flask-vial,\n  \"hand\": $fa-var-hand,\n  \"hand-paper\": $fa-var-hand-paper,\n  \"om\": $fa-var-om,\n  \"worm\": $fa-var-worm,\n  \"house-circle-xmark\": $fa-var-house-circle-xmark,\n  \"plug\": $fa-var-plug,\n  \"chevron-up\": $fa-var-chevron-up,\n  \"hand-spock\": $fa-var-hand-spock,\n  \"stopwatch\": $fa-var-stopwatch,\n  \"face-kiss\": $fa-var-face-kiss,\n  \"kiss\": $fa-var-kiss,\n  \"bridge-circle-xmark\": $fa-var-bridge-circle-xmark,\n  \"face-grin-tongue\": $fa-var-face-grin-tongue,\n  \"grin-tongue\": $fa-var-grin-tongue,\n  \"chess-bishop\": $fa-var-chess-bishop,\n  \"face-grin-wink\": $fa-var-face-grin-wink,\n  \"grin-wink\": $fa-var-grin-wink,\n  \"ear-deaf\": $fa-var-ear-deaf,\n  \"deaf\": $fa-var-deaf,\n  \"deafness\": $fa-var-deafness,\n  \"hard-of-hearing\": $fa-var-hard-of-hearing,\n  \"road-circle-check\": $fa-var-road-circle-check,\n  \"dice-five\": $fa-var-dice-five,\n  \"square-rss\": $fa-var-square-rss,\n  \"rss-square\": $fa-var-rss-square,\n  \"land-mine-on\": $fa-var-land-mine-on,\n  \"i-cursor\": $fa-var-i-cursor,\n  \"stamp\": $fa-var-stamp,\n  \"stairs\": $fa-var-stairs,\n  \"i\": $fa-var-i,\n  \"hryvnia-sign\": $fa-var-hryvnia-sign,\n  \"hryvnia\": $fa-var-hryvnia,\n  \"pills\": $fa-var-pills,\n  \"face-grin-wide\": $fa-var-face-grin-wide,\n  \"grin-alt\": $fa-var-grin-alt,\n  \"tooth\": $fa-var-tooth,\n  \"v\": $fa-var-v,\n  \"bangladeshi-taka-sign\": $fa-var-bangladeshi-taka-sign,\n  \"bicycle\": $fa-var-bicycle,\n  \"staff-snake\": $fa-var-staff-snake,\n  \"rod-asclepius\": $fa-var-rod-asclepius,\n  \"rod-snake\": $fa-var-rod-snake,\n  \"staff-aesculapius\": $fa-var-staff-aesculapius,\n  \"head-side-cough-slash\": $fa-var-head-side-cough-slash,\n  \"truck-medical\": $fa-var-truck-medical,\n  \"ambulance\": $fa-var-ambulance,\n  \"wheat-awn-circle-exclamation\": $fa-var-wheat-awn-circle-exclamation,\n  \"snowman\": $fa-var-snowman,\n  \"mortar-pestle\": $fa-var-mortar-pestle,\n  \"road-barrier\": $fa-var-road-barrier,\n  \"school\": $fa-var-school,\n  \"igloo\": $fa-var-igloo,\n  \"joint\": $fa-var-joint,\n  \"angle-right\": $fa-var-angle-right,\n  \"horse\": $fa-var-horse,\n  \"q\": $fa-var-q,\n  \"g\": $fa-var-g,\n  \"notes-medical\": $fa-var-notes-medical,\n  \"temperature-half\": $fa-var-temperature-half,\n  \"temperature-2\": $fa-var-temperature-2,\n  \"thermometer-2\": $fa-var-thermometer-2,\n  \"thermometer-half\": $fa-var-thermometer-half,\n  \"dong-sign\": $fa-var-dong-sign,\n  \"capsules\": $fa-var-capsules,\n  \"poo-storm\": $fa-var-poo-storm,\n  \"poo-bolt\": $fa-var-poo-bolt,\n  \"face-frown-open\": $fa-var-face-frown-open,\n  \"frown-open\": $fa-var-frown-open,\n  \"hand-point-up\": $fa-var-hand-point-up,\n  \"money-bill\": $fa-var-money-bill,\n  \"bookmark\": $fa-var-bookmark,\n  \"align-justify\": $fa-var-align-justify,\n  \"umbrella-beach\": $fa-var-umbrella-beach,\n  \"helmet-un\": $fa-var-helmet-un,\n  \"bullseye\": $fa-var-bullseye,\n  \"bacon\": $fa-var-bacon,\n  \"hand-point-down\": $fa-var-hand-point-down,\n  \"arrow-up-from-bracket\": $fa-var-arrow-up-from-bracket,\n  \"folder\": $fa-var-folder,\n  \"folder-blank\": $fa-var-folder-blank,\n  \"file-waveform\": $fa-var-file-waveform,\n  \"file-medical-alt\": $fa-var-file-medical-alt,\n  \"radiation\": $fa-var-radiation,\n  \"chart-simple\": $fa-var-chart-simple,\n  \"mars-stroke\": $fa-var-mars-stroke,\n  \"vial\": $fa-var-vial,\n  \"gauge\": $fa-var-gauge,\n  \"dashboard\": $fa-var-dashboard,\n  \"gauge-med\": $fa-var-gauge-med,\n  \"tachometer-alt-average\": $fa-var-tachometer-alt-average,\n  \"wand-magic-sparkles\": $fa-var-wand-magic-sparkles,\n  \"magic-wand-sparkles\": $fa-var-magic-wand-sparkles,\n  \"e\": $fa-var-e,\n  \"pen-clip\": $fa-var-pen-clip,\n  \"pen-alt\": $fa-var-pen-alt,\n  \"bridge-circle-exclamation\": $fa-var-bridge-circle-exclamation,\n  \"user\": $fa-var-user,\n  \"school-circle-check\": $fa-var-school-circle-check,\n  \"dumpster\": $fa-var-dumpster,\n  \"van-shuttle\": $fa-var-van-shuttle,\n  \"shuttle-van\": $fa-var-shuttle-van,\n  \"building-user\": $fa-var-building-user,\n  \"square-caret-left\": $fa-var-square-caret-left,\n  \"caret-square-left\": $fa-var-caret-square-left,\n  \"highlighter\": $fa-var-highlighter,\n  \"key\": $fa-var-key,\n  \"bullhorn\": $fa-var-bullhorn,\n  \"globe\": $fa-var-globe,\n  \"synagogue\": $fa-var-synagogue,\n  \"person-half-dress\": $fa-var-person-half-dress,\n  \"road-bridge\": $fa-var-road-bridge,\n  \"location-arrow\": $fa-var-location-arrow,\n  \"c\": $fa-var-c,\n  \"tablet-button\": $fa-var-tablet-button,\n  \"building-lock\": $fa-var-building-lock,\n  \"pizza-slice\": $fa-var-pizza-slice,\n  \"money-bill-wave\": $fa-var-money-bill-wave,\n  \"chart-area\": $fa-var-chart-area,\n  \"area-chart\": $fa-var-area-chart,\n  \"house-flag\": $fa-var-house-flag,\n  \"person-circle-minus\": $fa-var-person-circle-minus,\n  \"ban\": $fa-var-ban,\n  \"cancel\": $fa-var-cancel,\n  \"camera-rotate\": $fa-var-camera-rotate,\n  \"spray-can-sparkles\": $fa-var-spray-can-sparkles,\n  \"air-freshener\": $fa-var-air-freshener,\n  \"star\": $fa-var-star,\n  \"repeat\": $fa-var-repeat,\n  \"cross\": $fa-var-cross,\n  \"box\": $fa-var-box,\n  \"venus-mars\": $fa-var-venus-mars,\n  \"arrow-pointer\": $fa-var-arrow-pointer,\n  \"mouse-pointer\": $fa-var-mouse-pointer,\n  \"maximize\": $fa-var-maximize,\n  \"expand-arrows-alt\": $fa-var-expand-arrows-alt,\n  \"charging-station\": $fa-var-charging-station,\n  \"shapes\": $fa-var-shapes,\n  \"triangle-circle-square\": $fa-var-triangle-circle-square,\n  \"shuffle\": $fa-var-shuffle,\n  \"random\": $fa-var-random,\n  \"person-running\": $fa-var-person-running,\n  \"running\": $fa-var-running,\n  \"mobile-retro\": $fa-var-mobile-retro,\n  \"grip-lines-vertical\": $fa-var-grip-lines-vertical,\n  \"spider\": $fa-var-spider,\n  \"hands-bound\": $fa-var-hands-bound,\n  \"file-invoice-dollar\": $fa-var-file-invoice-dollar,\n  \"plane-circle-exclamation\": $fa-var-plane-circle-exclamation,\n  \"x-ray\": $fa-var-x-ray,\n  \"spell-check\": $fa-var-spell-check,\n  \"slash\": $fa-var-slash,\n  \"computer-mouse\": $fa-var-computer-mouse,\n  \"mouse\": $fa-var-mouse,\n  \"arrow-right-to-bracket\": $fa-var-arrow-right-to-bracket,\n  \"sign-in\": $fa-var-sign-in,\n  \"shop-slash\": $fa-var-shop-slash,\n  \"store-alt-slash\": $fa-var-store-alt-slash,\n  \"server\": $fa-var-server,\n  \"virus-covid-slash\": $fa-var-virus-covid-slash,\n  \"shop-lock\": $fa-var-shop-lock,\n  \"hourglass-start\": $fa-var-hourglass-start,\n  \"hourglass-1\": $fa-var-hourglass-1,\n  \"blender-phone\": $fa-var-blender-phone,\n  \"building-wheat\": $fa-var-building-wheat,\n  \"person-breastfeeding\": $fa-var-person-breastfeeding,\n  \"right-to-bracket\": $fa-var-right-to-bracket,\n  \"sign-in-alt\": $fa-var-sign-in-alt,\n  \"venus\": $fa-var-venus,\n  \"passport\": $fa-var-passport,\n  \"heart-pulse\": $fa-var-heart-pulse,\n  \"heartbeat\": $fa-var-heartbeat,\n  \"people-carry-box\": $fa-var-people-carry-box,\n  \"people-carry\": $fa-var-people-carry,\n  \"temperature-high\": $fa-var-temperature-high,\n  \"microchip\": $fa-var-microchip,\n  \"crown\": $fa-var-crown,\n  \"weight-hanging\": $fa-var-weight-hanging,\n  \"xmarks-lines\": $fa-var-xmarks-lines,\n  \"file-prescription\": $fa-var-file-prescription,\n  \"weight-scale\": $fa-var-weight-scale,\n  \"weight\": $fa-var-weight,\n  \"user-group\": $fa-var-user-group,\n  \"user-friends\": $fa-var-user-friends,\n  \"arrow-up-a-z\": $fa-var-arrow-up-a-z,\n  \"sort-alpha-up\": $fa-var-sort-alpha-up,\n  \"chess-knight\": $fa-var-chess-knight,\n  \"face-laugh-squint\": $fa-var-face-laugh-squint,\n  \"laugh-squint\": $fa-var-laugh-squint,\n  \"wheelchair\": $fa-var-wheelchair,\n  \"circle-arrow-up\": $fa-var-circle-arrow-up,\n  \"arrow-circle-up\": $fa-var-arrow-circle-up,\n  \"toggle-on\": $fa-var-toggle-on,\n  \"person-walking\": $fa-var-person-walking,\n  \"walking\": $fa-var-walking,\n  \"l\": $fa-var-l,\n  \"fire\": $fa-var-fire,\n  \"bed-pulse\": $fa-var-bed-pulse,\n  \"procedures\": $fa-var-procedures,\n  \"shuttle-space\": $fa-var-shuttle-space,\n  \"space-shuttle\": $fa-var-space-shuttle,\n  \"face-laugh\": $fa-var-face-laugh,\n  \"laugh\": $fa-var-laugh,\n  \"folder-open\": $fa-var-folder-open,\n  \"heart-circle-plus\": $fa-var-heart-circle-plus,\n  \"code-fork\": $fa-var-code-fork,\n  \"city\": $fa-var-city,\n  \"microphone-lines\": $fa-var-microphone-lines,\n  \"microphone-alt\": $fa-var-microphone-alt,\n  \"pepper-hot\": $fa-var-pepper-hot,\n  \"unlock\": $fa-var-unlock,\n  \"colon-sign\": $fa-var-colon-sign,\n  \"headset\": $fa-var-headset,\n  \"store-slash\": $fa-var-store-slash,\n  \"road-circle-xmark\": $fa-var-road-circle-xmark,\n  \"user-minus\": $fa-var-user-minus,\n  \"mars-stroke-up\": $fa-var-mars-stroke-up,\n  \"mars-stroke-v\": $fa-var-mars-stroke-v,\n  \"champagne-glasses\": $fa-var-champagne-glasses,\n  \"glass-cheers\": $fa-var-glass-cheers,\n  \"clipboard\": $fa-var-clipboard,\n  \"house-circle-exclamation\": $fa-var-house-circle-exclamation,\n  \"file-arrow-up\": $fa-var-file-arrow-up,\n  \"file-upload\": $fa-var-file-upload,\n  \"wifi\": $fa-var-wifi,\n  \"wifi-3\": $fa-var-wifi-3,\n  \"wifi-strong\": $fa-var-wifi-strong,\n  \"bath\": $fa-var-bath,\n  \"bathtub\": $fa-var-bathtub,\n  \"underline\": $fa-var-underline,\n  \"user-pen\": $fa-var-user-pen,\n  \"user-edit\": $fa-var-user-edit,\n  \"signature\": $fa-var-signature,\n  \"stroopwafel\": $fa-var-stroopwafel,\n  \"bold\": $fa-var-bold,\n  \"anchor-lock\": $fa-var-anchor-lock,\n  \"building-ngo\": $fa-var-building-ngo,\n  \"manat-sign\": $fa-var-manat-sign,\n  \"not-equal\": $fa-var-not-equal,\n  \"border-top-left\": $fa-var-border-top-left,\n  \"border-style\": $fa-var-border-style,\n  \"map-location-dot\": $fa-var-map-location-dot,\n  \"map-marked-alt\": $fa-var-map-marked-alt,\n  \"jedi\": $fa-var-jedi,\n  \"square-poll-vertical\": $fa-var-square-poll-vertical,\n  \"poll\": $fa-var-poll,\n  \"mug-hot\": $fa-var-mug-hot,\n  \"car-battery\": $fa-var-car-battery,\n  \"battery-car\": $fa-var-battery-car,\n  \"gift\": $fa-var-gift,\n  \"dice-two\": $fa-var-dice-two,\n  \"chess-queen\": $fa-var-chess-queen,\n  \"glasses\": $fa-var-glasses,\n  \"chess-board\": $fa-var-chess-board,\n  \"building-circle-check\": $fa-var-building-circle-check,\n  \"person-chalkboard\": $fa-var-person-chalkboard,\n  \"mars-stroke-right\": $fa-var-mars-stroke-right,\n  \"mars-stroke-h\": $fa-var-mars-stroke-h,\n  \"hand-back-fist\": $fa-var-hand-back-fist,\n  \"hand-rock\": $fa-var-hand-rock,\n  \"square-caret-up\": $fa-var-square-caret-up,\n  \"caret-square-up\": $fa-var-caret-square-up,\n  \"cloud-showers-water\": $fa-var-cloud-showers-water,\n  \"chart-bar\": $fa-var-chart-bar,\n  \"bar-chart\": $fa-var-bar-chart,\n  \"hands-bubbles\": $fa-var-hands-bubbles,\n  \"hands-wash\": $fa-var-hands-wash,\n  \"less-than-equal\": $fa-var-less-than-equal,\n  \"train\": $fa-var-train,\n  \"eye-low-vision\": $fa-var-eye-low-vision,\n  \"low-vision\": $fa-var-low-vision,\n  \"crow\": $fa-var-crow,\n  \"sailboat\": $fa-var-sailboat,\n  \"window-restore\": $fa-var-window-restore,\n  \"square-plus\": $fa-var-square-plus,\n  \"plus-square\": $fa-var-plus-square,\n  \"torii-gate\": $fa-var-torii-gate,\n  \"frog\": $fa-var-frog,\n  \"bucket\": $fa-var-bucket,\n  \"image\": $fa-var-image,\n  \"microphone\": $fa-var-microphone,\n  \"cow\": $fa-var-cow,\n  \"caret-up\": $fa-var-caret-up,\n  \"screwdriver\": $fa-var-screwdriver,\n  \"folder-closed\": $fa-var-folder-closed,\n  \"house-tsunami\": $fa-var-house-tsunami,\n  \"square-nfi\": $fa-var-square-nfi,\n  \"arrow-up-from-ground-water\": $fa-var-arrow-up-from-ground-water,\n  \"martini-glass\": $fa-var-martini-glass,\n  \"glass-martini-alt\": $fa-var-glass-martini-alt,\n  \"rotate-left\": $fa-var-rotate-left,\n  \"rotate-back\": $fa-var-rotate-back,\n  \"rotate-backward\": $fa-var-rotate-backward,\n  \"undo-alt\": $fa-var-undo-alt,\n  \"table-columns\": $fa-var-table-columns,\n  \"columns\": $fa-var-columns,\n  \"lemon\": $fa-var-lemon,\n  \"head-side-mask\": $fa-var-head-side-mask,\n  \"handshake\": $fa-var-handshake,\n  \"gem\": $fa-var-gem,\n  \"dolly\": $fa-var-dolly,\n  \"dolly-box\": $fa-var-dolly-box,\n  \"smoking\": $fa-var-smoking,\n  \"minimize\": $fa-var-minimize,\n  \"compress-arrows-alt\": $fa-var-compress-arrows-alt,\n  \"monument\": $fa-var-monument,\n  \"snowplow\": $fa-var-snowplow,\n  \"angles-right\": $fa-var-angles-right,\n  \"angle-double-right\": $fa-var-angle-double-right,\n  \"cannabis\": $fa-var-cannabis,\n  \"circle-play\": $fa-var-circle-play,\n  \"play-circle\": $fa-var-play-circle,\n  \"tablets\": $fa-var-tablets,\n  \"ethernet\": $fa-var-ethernet,\n  \"euro-sign\": $fa-var-euro-sign,\n  \"eur\": $fa-var-eur,\n  \"euro\": $fa-var-euro,\n  \"chair\": $fa-var-chair,\n  \"circle-check\": $fa-var-circle-check,\n  \"check-circle\": $fa-var-check-circle,\n  \"circle-stop\": $fa-var-circle-stop,\n  \"stop-circle\": $fa-var-stop-circle,\n  \"compass-drafting\": $fa-var-compass-drafting,\n  \"drafting-compass\": $fa-var-drafting-compass,\n  \"plate-wheat\": $fa-var-plate-wheat,\n  \"icicles\": $fa-var-icicles,\n  \"person-shelter\": $fa-var-person-shelter,\n  \"neuter\": $fa-var-neuter,\n  \"id-badge\": $fa-var-id-badge,\n  \"marker\": $fa-var-marker,\n  \"face-laugh-beam\": $fa-var-face-laugh-beam,\n  \"laugh-beam\": $fa-var-laugh-beam,\n  \"helicopter-symbol\": $fa-var-helicopter-symbol,\n  \"universal-access\": $fa-var-universal-access,\n  \"circle-chevron-up\": $fa-var-circle-chevron-up,\n  \"chevron-circle-up\": $fa-var-chevron-circle-up,\n  \"lari-sign\": $fa-var-lari-sign,\n  \"volcano\": $fa-var-volcano,\n  \"person-walking-dashed-line-arrow-right\": $fa-var-person-walking-dashed-line-arrow-right,\n  \"sterling-sign\": $fa-var-sterling-sign,\n  \"gbp\": $fa-var-gbp,\n  \"pound-sign\": $fa-var-pound-sign,\n  \"viruses\": $fa-var-viruses,\n  \"square-person-confined\": $fa-var-square-person-confined,\n  \"user-tie\": $fa-var-user-tie,\n  \"arrow-down-long\": $fa-var-arrow-down-long,\n  \"long-arrow-down\": $fa-var-long-arrow-down,\n  \"tent-arrow-down-to-line\": $fa-var-tent-arrow-down-to-line,\n  \"certificate\": $fa-var-certificate,\n  \"reply-all\": $fa-var-reply-all,\n  \"mail-reply-all\": $fa-var-mail-reply-all,\n  \"suitcase\": $fa-var-suitcase,\n  \"person-skating\": $fa-var-person-skating,\n  \"skating\": $fa-var-skating,\n  \"filter-circle-dollar\": $fa-var-filter-circle-dollar,\n  \"funnel-dollar\": $fa-var-funnel-dollar,\n  \"camera-retro\": $fa-var-camera-retro,\n  \"circle-arrow-down\": $fa-var-circle-arrow-down,\n  \"arrow-circle-down\": $fa-var-arrow-circle-down,\n  \"file-import\": $fa-var-file-import,\n  \"arrow-right-to-file\": $fa-var-arrow-right-to-file,\n  \"square-arrow-up-right\": $fa-var-square-arrow-up-right,\n  \"external-link-square\": $fa-var-external-link-square,\n  \"box-open\": $fa-var-box-open,\n  \"scroll\": $fa-var-scroll,\n  \"spa\": $fa-var-spa,\n  \"location-pin-lock\": $fa-var-location-pin-lock,\n  \"pause\": $fa-var-pause,\n  \"hill-avalanche\": $fa-var-hill-avalanche,\n  \"temperature-empty\": $fa-var-temperature-empty,\n  \"temperature-0\": $fa-var-temperature-0,\n  \"thermometer-0\": $fa-var-thermometer-0,\n  \"thermometer-empty\": $fa-var-thermometer-empty,\n  \"bomb\": $fa-var-bomb,\n  \"registered\": $fa-var-registered,\n  \"address-card\": $fa-var-address-card,\n  \"contact-card\": $fa-var-contact-card,\n  \"vcard\": $fa-var-vcard,\n  \"scale-unbalanced-flip\": $fa-var-scale-unbalanced-flip,\n  \"balance-scale-right\": $fa-var-balance-scale-right,\n  \"subscript\": $fa-var-subscript,\n  \"diamond-turn-right\": $fa-var-diamond-turn-right,\n  \"directions\": $fa-var-directions,\n  \"burst\": $fa-var-burst,\n  \"house-laptop\": $fa-var-house-laptop,\n  \"laptop-house\": $fa-var-laptop-house,\n  \"face-tired\": $fa-var-face-tired,\n  \"tired\": $fa-var-tired,\n  \"money-bills\": $fa-var-money-bills,\n  \"smog\": $fa-var-smog,\n  \"crutch\": $fa-var-crutch,\n  \"cloud-arrow-up\": $fa-var-cloud-arrow-up,\n  \"cloud-upload\": $fa-var-cloud-upload,\n  \"cloud-upload-alt\": $fa-var-cloud-upload-alt,\n  \"palette\": $fa-var-palette,\n  \"arrows-turn-right\": $fa-var-arrows-turn-right,\n  \"vest\": $fa-var-vest,\n  \"ferry\": $fa-var-ferry,\n  \"arrows-down-to-people\": $fa-var-arrows-down-to-people,\n  \"seedling\": $fa-var-seedling,\n  \"sprout\": $fa-var-sprout,\n  \"left-right\": $fa-var-left-right,\n  \"arrows-alt-h\": $fa-var-arrows-alt-h,\n  \"boxes-packing\": $fa-var-boxes-packing,\n  \"circle-arrow-left\": $fa-var-circle-arrow-left,\n  \"arrow-circle-left\": $fa-var-arrow-circle-left,\n  \"group-arrows-rotate\": $fa-var-group-arrows-rotate,\n  \"bowl-food\": $fa-var-bowl-food,\n  \"candy-cane\": $fa-var-candy-cane,\n  \"arrow-down-wide-short\": $fa-var-arrow-down-wide-short,\n  \"sort-amount-asc\": $fa-var-sort-amount-asc,\n  \"sort-amount-down\": $fa-var-sort-amount-down,\n  \"cloud-bolt\": $fa-var-cloud-bolt,\n  \"thunderstorm\": $fa-var-thunderstorm,\n  \"text-slash\": $fa-var-text-slash,\n  \"remove-format\": $fa-var-remove-format,\n  \"face-smile-wink\": $fa-var-face-smile-wink,\n  \"smile-wink\": $fa-var-smile-wink,\n  \"file-word\": $fa-var-file-word,\n  \"file-powerpoint\": $fa-var-file-powerpoint,\n  \"arrows-left-right\": $fa-var-arrows-left-right,\n  \"arrows-h\": $fa-var-arrows-h,\n  \"house-lock\": $fa-var-house-lock,\n  \"cloud-arrow-down\": $fa-var-cloud-arrow-down,\n  \"cloud-download\": $fa-var-cloud-download,\n  \"cloud-download-alt\": $fa-var-cloud-download-alt,\n  \"children\": $fa-var-children,\n  \"chalkboard\": $fa-var-chalkboard,\n  \"blackboard\": $fa-var-blackboard,\n  \"user-large-slash\": $fa-var-user-large-slash,\n  \"user-alt-slash\": $fa-var-user-alt-slash,\n  \"envelope-open\": $fa-var-envelope-open,\n  \"handshake-simple-slash\": $fa-var-handshake-simple-slash,\n  \"handshake-alt-slash\": $fa-var-handshake-alt-slash,\n  \"mattress-pillow\": $fa-var-mattress-pillow,\n  \"guarani-sign\": $fa-var-guarani-sign,\n  \"arrows-rotate\": $fa-var-arrows-rotate,\n  \"refresh\": $fa-var-refresh,\n  \"sync\": $fa-var-sync,\n  \"fire-extinguisher\": $fa-var-fire-extinguisher,\n  \"cruzeiro-sign\": $fa-var-cruzeiro-sign,\n  \"greater-than-equal\": $fa-var-greater-than-equal,\n  \"shield-halved\": $fa-var-shield-halved,\n  \"shield-alt\": $fa-var-shield-alt,\n  \"book-atlas\": $fa-var-book-atlas,\n  \"atlas\": $fa-var-atlas,\n  \"virus\": $fa-var-virus,\n  \"envelope-circle-check\": $fa-var-envelope-circle-check,\n  \"layer-group\": $fa-var-layer-group,\n  \"arrows-to-dot\": $fa-var-arrows-to-dot,\n  \"archway\": $fa-var-archway,\n  \"heart-circle-check\": $fa-var-heart-circle-check,\n  \"house-chimney-crack\": $fa-var-house-chimney-crack,\n  \"house-damage\": $fa-var-house-damage,\n  \"file-zipper\": $fa-var-file-zipper,\n  \"file-archive\": $fa-var-file-archive,\n  \"square\": $fa-var-square,\n  \"martini-glass-empty\": $fa-var-martini-glass-empty,\n  \"glass-martini\": $fa-var-glass-martini,\n  \"couch\": $fa-var-couch,\n  \"cedi-sign\": $fa-var-cedi-sign,\n  \"italic\": $fa-var-italic,\n  \"table-cells-column-lock\": $fa-var-table-cells-column-lock,\n  \"church\": $fa-var-church,\n  \"comments-dollar\": $fa-var-comments-dollar,\n  \"democrat\": $fa-var-democrat,\n  \"z\": $fa-var-z,\n  \"person-skiing\": $fa-var-person-skiing,\n  \"skiing\": $fa-var-skiing,\n  \"road-lock\": $fa-var-road-lock,\n  \"a\": $fa-var-a,\n  \"temperature-arrow-down\": $fa-var-temperature-arrow-down,\n  \"temperature-down\": $fa-var-temperature-down,\n  \"feather-pointed\": $fa-var-feather-pointed,\n  \"feather-alt\": $fa-var-feather-alt,\n  \"p\": $fa-var-p,\n  \"snowflake\": $fa-var-snowflake,\n  \"newspaper\": $fa-var-newspaper,\n  \"rectangle-ad\": $fa-var-rectangle-ad,\n  \"ad\": $fa-var-ad,\n  \"circle-arrow-right\": $fa-var-circle-arrow-right,\n  \"arrow-circle-right\": $fa-var-arrow-circle-right,\n  \"filter-circle-xmark\": $fa-var-filter-circle-xmark,\n  \"locust\": $fa-var-locust,\n  \"sort\": $fa-var-sort,\n  \"unsorted\": $fa-var-unsorted,\n  \"list-ol\": $fa-var-list-ol,\n  \"list-1-2\": $fa-var-list-1-2,\n  \"list-numeric\": $fa-var-list-numeric,\n  \"person-dress-burst\": $fa-var-person-dress-burst,\n  \"money-check-dollar\": $fa-var-money-check-dollar,\n  \"money-check-alt\": $fa-var-money-check-alt,\n  \"vector-square\": $fa-var-vector-square,\n  \"bread-slice\": $fa-var-bread-slice,\n  \"language\": $fa-var-language,\n  \"face-kiss-wink-heart\": $fa-var-face-kiss-wink-heart,\n  \"kiss-wink-heart\": $fa-var-kiss-wink-heart,\n  \"filter\": $fa-var-filter,\n  \"question\": $fa-var-question,\n  \"file-signature\": $fa-var-file-signature,\n  \"up-down-left-right\": $fa-var-up-down-left-right,\n  \"arrows-alt\": $fa-var-arrows-alt,\n  \"house-chimney-user\": $fa-var-house-chimney-user,\n  \"hand-holding-heart\": $fa-var-hand-holding-heart,\n  \"puzzle-piece\": $fa-var-puzzle-piece,\n  \"money-check\": $fa-var-money-check,\n  \"star-half-stroke\": $fa-var-star-half-stroke,\n  \"star-half-alt\": $fa-var-star-half-alt,\n  \"code\": $fa-var-code,\n  \"whiskey-glass\": $fa-var-whiskey-glass,\n  \"glass-whiskey\": $fa-var-glass-whiskey,\n  \"building-circle-exclamation\": $fa-var-building-circle-exclamation,\n  \"magnifying-glass-chart\": $fa-var-magnifying-glass-chart,\n  \"arrow-up-right-from-square\": $fa-var-arrow-up-right-from-square,\n  \"external-link\": $fa-var-external-link,\n  \"cubes-stacked\": $fa-var-cubes-stacked,\n  \"won-sign\": $fa-var-won-sign,\n  \"krw\": $fa-var-krw,\n  \"won\": $fa-var-won,\n  \"virus-covid\": $fa-var-virus-covid,\n  \"austral-sign\": $fa-var-austral-sign,\n  \"f\": $fa-var-f,\n  \"leaf\": $fa-var-leaf,\n  \"road\": $fa-var-road,\n  \"taxi\": $fa-var-taxi,\n  \"cab\": $fa-var-cab,\n  \"person-circle-plus\": $fa-var-person-circle-plus,\n  \"chart-pie\": $fa-var-chart-pie,\n  \"pie-chart\": $fa-var-pie-chart,\n  \"bolt-lightning\": $fa-var-bolt-lightning,\n  \"sack-xmark\": $fa-var-sack-xmark,\n  \"file-excel\": $fa-var-file-excel,\n  \"file-contract\": $fa-var-file-contract,\n  \"fish-fins\": $fa-var-fish-fins,\n  \"building-flag\": $fa-var-building-flag,\n  \"face-grin-beam\": $fa-var-face-grin-beam,\n  \"grin-beam\": $fa-var-grin-beam,\n  \"object-ungroup\": $fa-var-object-ungroup,\n  \"poop\": $fa-var-poop,\n  \"location-pin\": $fa-var-location-pin,\n  \"map-marker\": $fa-var-map-marker,\n  \"kaaba\": $fa-var-kaaba,\n  \"toilet-paper\": $fa-var-toilet-paper,\n  \"helmet-safety\": $fa-var-helmet-safety,\n  \"hard-hat\": $fa-var-hard-hat,\n  \"hat-hard\": $fa-var-hat-hard,\n  \"eject\": $fa-var-eject,\n  \"circle-right\": $fa-var-circle-right,\n  \"arrow-alt-circle-right\": $fa-var-arrow-alt-circle-right,\n  \"plane-circle-check\": $fa-var-plane-circle-check,\n  \"face-rolling-eyes\": $fa-var-face-rolling-eyes,\n  \"meh-rolling-eyes\": $fa-var-meh-rolling-eyes,\n  \"object-group\": $fa-var-object-group,\n  \"chart-line\": $fa-var-chart-line,\n  \"line-chart\": $fa-var-line-chart,\n  \"mask-ventilator\": $fa-var-mask-ventilator,\n  \"arrow-right\": $fa-var-arrow-right,\n  \"signs-post\": $fa-var-signs-post,\n  \"map-signs\": $fa-var-map-signs,\n  \"cash-register\": $fa-var-cash-register,\n  \"person-circle-question\": $fa-var-person-circle-question,\n  \"h\": $fa-var-h,\n  \"tarp\": $fa-var-tarp,\n  \"screwdriver-wrench\": $fa-var-screwdriver-wrench,\n  \"tools\": $fa-var-tools,\n  \"arrows-to-eye\": $fa-var-arrows-to-eye,\n  \"plug-circle-bolt\": $fa-var-plug-circle-bolt,\n  \"heart\": $fa-var-heart,\n  \"mars-and-venus\": $fa-var-mars-and-venus,\n  \"house-user\": $fa-var-house-user,\n  \"home-user\": $fa-var-home-user,\n  \"dumpster-fire\": $fa-var-dumpster-fire,\n  \"house-crack\": $fa-var-house-crack,\n  \"martini-glass-citrus\": $fa-var-martini-glass-citrus,\n  \"cocktail\": $fa-var-cocktail,\n  \"face-surprise\": $fa-var-face-surprise,\n  \"surprise\": $fa-var-surprise,\n  \"bottle-water\": $fa-var-bottle-water,\n  \"circle-pause\": $fa-var-circle-pause,\n  \"pause-circle\": $fa-var-pause-circle,\n  \"toilet-paper-slash\": $fa-var-toilet-paper-slash,\n  \"apple-whole\": $fa-var-apple-whole,\n  \"apple-alt\": $fa-var-apple-alt,\n  \"kitchen-set\": $fa-var-kitchen-set,\n  \"r\": $fa-var-r,\n  \"temperature-quarter\": $fa-var-temperature-quarter,\n  \"temperature-1\": $fa-var-temperature-1,\n  \"thermometer-1\": $fa-var-thermometer-1,\n  \"thermometer-quarter\": $fa-var-thermometer-quarter,\n  \"cube\": $fa-var-cube,\n  \"bitcoin-sign\": $fa-var-bitcoin-sign,\n  \"shield-dog\": $fa-var-shield-dog,\n  \"solar-panel\": $fa-var-solar-panel,\n  \"lock-open\": $fa-var-lock-open,\n  \"elevator\": $fa-var-elevator,\n  \"money-bill-transfer\": $fa-var-money-bill-transfer,\n  \"money-bill-trend-up\": $fa-var-money-bill-trend-up,\n  \"house-flood-water-circle-arrow-right\": $fa-var-house-flood-water-circle-arrow-right,\n  \"square-poll-horizontal\": $fa-var-square-poll-horizontal,\n  \"poll-h\": $fa-var-poll-h,\n  \"circle\": $fa-var-circle,\n  \"backward-fast\": $fa-var-backward-fast,\n  \"fast-backward\": $fa-var-fast-backward,\n  \"recycle\": $fa-var-recycle,\n  \"user-astronaut\": $fa-var-user-astronaut,\n  \"plane-slash\": $fa-var-plane-slash,\n  \"trademark\": $fa-var-trademark,\n  \"basketball\": $fa-var-basketball,\n  \"basketball-ball\": $fa-var-basketball-ball,\n  \"satellite-dish\": $fa-var-satellite-dish,\n  \"circle-up\": $fa-var-circle-up,\n  \"arrow-alt-circle-up\": $fa-var-arrow-alt-circle-up,\n  \"mobile-screen-button\": $fa-var-mobile-screen-button,\n  \"mobile-alt\": $fa-var-mobile-alt,\n  \"volume-high\": $fa-var-volume-high,\n  \"volume-up\": $fa-var-volume-up,\n  \"users-rays\": $fa-var-users-rays,\n  \"wallet\": $fa-var-wallet,\n  \"clipboard-check\": $fa-var-clipboard-check,\n  \"file-audio\": $fa-var-file-audio,\n  \"burger\": $fa-var-burger,\n  \"hamburger\": $fa-var-hamburger,\n  \"wrench\": $fa-var-wrench,\n  \"bugs\": $fa-var-bugs,\n  \"rupee-sign\": $fa-var-rupee-sign,\n  \"rupee\": $fa-var-rupee,\n  \"file-image\": $fa-var-file-image,\n  \"circle-question\": $fa-var-circle-question,\n  \"question-circle\": $fa-var-question-circle,\n  \"plane-departure\": $fa-var-plane-departure,\n  \"handshake-slash\": $fa-var-handshake-slash,\n  \"book-bookmark\": $fa-var-book-bookmark,\n  \"code-branch\": $fa-var-code-branch,\n  \"hat-cowboy\": $fa-var-hat-cowboy,\n  \"bridge\": $fa-var-bridge,\n  \"phone-flip\": $fa-var-phone-flip,\n  \"phone-alt\": $fa-var-phone-alt,\n  \"truck-front\": $fa-var-truck-front,\n  \"cat\": $fa-var-cat,\n  \"anchor-circle-exclamation\": $fa-var-anchor-circle-exclamation,\n  \"truck-field\": $fa-var-truck-field,\n  \"route\": $fa-var-route,\n  \"clipboard-question\": $fa-var-clipboard-question,\n  \"panorama\": $fa-var-panorama,\n  \"comment-medical\": $fa-var-comment-medical,\n  \"teeth-open\": $fa-var-teeth-open,\n  \"file-circle-minus\": $fa-var-file-circle-minus,\n  \"tags\": $fa-var-tags,\n  \"wine-glass\": $fa-var-wine-glass,\n  \"forward-fast\": $fa-var-forward-fast,\n  \"fast-forward\": $fa-var-fast-forward,\n  \"face-meh-blank\": $fa-var-face-meh-blank,\n  \"meh-blank\": $fa-var-meh-blank,\n  \"square-parking\": $fa-var-square-parking,\n  \"parking\": $fa-var-parking,\n  \"house-signal\": $fa-var-house-signal,\n  \"bars-progress\": $fa-var-bars-progress,\n  \"tasks-alt\": $fa-var-tasks-alt,\n  \"faucet-drip\": $fa-var-faucet-drip,\n  \"cart-flatbed\": $fa-var-cart-flatbed,\n  \"dolly-flatbed\": $fa-var-dolly-flatbed,\n  \"ban-smoking\": $fa-var-ban-smoking,\n  \"smoking-ban\": $fa-var-smoking-ban,\n  \"terminal\": $fa-var-terminal,\n  \"mobile-button\": $fa-var-mobile-button,\n  \"house-medical-flag\": $fa-var-house-medical-flag,\n  \"basket-shopping\": $fa-var-basket-shopping,\n  \"shopping-basket\": $fa-var-shopping-basket,\n  \"tape\": $fa-var-tape,\n  \"bus-simple\": $fa-var-bus-simple,\n  \"bus-alt\": $fa-var-bus-alt,\n  \"eye\": $fa-var-eye,\n  \"face-sad-cry\": $fa-var-face-sad-cry,\n  \"sad-cry\": $fa-var-sad-cry,\n  \"audio-description\": $fa-var-audio-description,\n  \"person-military-to-person\": $fa-var-person-military-to-person,\n  \"file-shield\": $fa-var-file-shield,\n  \"user-slash\": $fa-var-user-slash,\n  \"pen\": $fa-var-pen,\n  \"tower-observation\": $fa-var-tower-observation,\n  \"file-code\": $fa-var-file-code,\n  \"signal\": $fa-var-signal,\n  \"signal-5\": $fa-var-signal-5,\n  \"signal-perfect\": $fa-var-signal-perfect,\n  \"bus\": $fa-var-bus,\n  \"heart-circle-xmark\": $fa-var-heart-circle-xmark,\n  \"house-chimney\": $fa-var-house-chimney,\n  \"home-lg\": $fa-var-home-lg,\n  \"window-maximize\": $fa-var-window-maximize,\n  \"face-frown\": $fa-var-face-frown,\n  \"frown\": $fa-var-frown,\n  \"prescription\": $fa-var-prescription,\n  \"shop\": $fa-var-shop,\n  \"store-alt\": $fa-var-store-alt,\n  \"floppy-disk\": $fa-var-floppy-disk,\n  \"save\": $fa-var-save,\n  \"vihara\": $fa-var-vihara,\n  \"scale-unbalanced\": $fa-var-scale-unbalanced,\n  \"balance-scale-left\": $fa-var-balance-scale-left,\n  \"sort-up\": $fa-var-sort-up,\n  \"sort-asc\": $fa-var-sort-asc,\n  \"comment-dots\": $fa-var-comment-dots,\n  \"commenting\": $fa-var-commenting,\n  \"plant-wilt\": $fa-var-plant-wilt,\n  \"diamond\": $fa-var-diamond,\n  \"face-grin-squint\": $fa-var-face-grin-squint,\n  \"grin-squint\": $fa-var-grin-squint,\n  \"hand-holding-dollar\": $fa-var-hand-holding-dollar,\n  \"hand-holding-usd\": $fa-var-hand-holding-usd,\n  \"bacterium\": $fa-var-bacterium,\n  \"hand-pointer\": $fa-var-hand-pointer,\n  \"drum-steelpan\": $fa-var-drum-steelpan,\n  \"hand-scissors\": $fa-var-hand-scissors,\n  \"hands-praying\": $fa-var-hands-praying,\n  \"praying-hands\": $fa-var-praying-hands,\n  \"arrow-rotate-right\": $fa-var-arrow-rotate-right,\n  \"arrow-right-rotate\": $fa-var-arrow-right-rotate,\n  \"arrow-rotate-forward\": $fa-var-arrow-rotate-forward,\n  \"redo\": $fa-var-redo,\n  \"biohazard\": $fa-var-biohazard,\n  \"location-crosshairs\": $fa-var-location-crosshairs,\n  \"location\": $fa-var-location,\n  \"mars-double\": $fa-var-mars-double,\n  \"child-dress\": $fa-var-child-dress,\n  \"users-between-lines\": $fa-var-users-between-lines,\n  \"lungs-virus\": $fa-var-lungs-virus,\n  \"face-grin-tears\": $fa-var-face-grin-tears,\n  \"grin-tears\": $fa-var-grin-tears,\n  \"phone\": $fa-var-phone,\n  \"calendar-xmark\": $fa-var-calendar-xmark,\n  \"calendar-times\": $fa-var-calendar-times,\n  \"child-reaching\": $fa-var-child-reaching,\n  \"head-side-virus\": $fa-var-head-side-virus,\n  \"user-gear\": $fa-var-user-gear,\n  \"user-cog\": $fa-var-user-cog,\n  \"arrow-up-1-9\": $fa-var-arrow-up-1-9,\n  \"sort-numeric-up\": $fa-var-sort-numeric-up,\n  \"door-closed\": $fa-var-door-closed,\n  \"shield-virus\": $fa-var-shield-virus,\n  \"dice-six\": $fa-var-dice-six,\n  \"mosquito-net\": $fa-var-mosquito-net,\n  \"bridge-water\": $fa-var-bridge-water,\n  \"person-booth\": $fa-var-person-booth,\n  \"text-width\": $fa-var-text-width,\n  \"hat-wizard\": $fa-var-hat-wizard,\n  \"pen-fancy\": $fa-var-pen-fancy,\n  \"person-digging\": $fa-var-person-digging,\n  \"digging\": $fa-var-digging,\n  \"trash\": $fa-var-trash,\n  \"gauge-simple\": $fa-var-gauge-simple,\n  \"gauge-simple-med\": $fa-var-gauge-simple-med,\n  \"tachometer-average\": $fa-var-tachometer-average,\n  \"book-medical\": $fa-var-book-medical,\n  \"poo\": $fa-var-poo,\n  \"quote-right\": $fa-var-quote-right,\n  \"quote-right-alt\": $fa-var-quote-right-alt,\n  \"shirt\": $fa-var-shirt,\n  \"t-shirt\": $fa-var-t-shirt,\n  \"tshirt\": $fa-var-tshirt,\n  \"cubes\": $fa-var-cubes,\n  \"divide\": $fa-var-divide,\n  \"tenge-sign\": $fa-var-tenge-sign,\n  \"tenge\": $fa-var-tenge,\n  \"headphones\": $fa-var-headphones,\n  \"hands-holding\": $fa-var-hands-holding,\n  \"hands-clapping\": $fa-var-hands-clapping,\n  \"republican\": $fa-var-republican,\n  \"arrow-left\": $fa-var-arrow-left,\n  \"person-circle-xmark\": $fa-var-person-circle-xmark,\n  \"ruler\": $fa-var-ruler,\n  \"align-left\": $fa-var-align-left,\n  \"dice-d6\": $fa-var-dice-d6,\n  \"restroom\": $fa-var-restroom,\n  \"j\": $fa-var-j,\n  \"users-viewfinder\": $fa-var-users-viewfinder,\n  \"file-video\": $fa-var-file-video,\n  \"up-right-from-square\": $fa-var-up-right-from-square,\n  \"external-link-alt\": $fa-var-external-link-alt,\n  \"table-cells\": $fa-var-table-cells,\n  \"th\": $fa-var-th,\n  \"file-pdf\": $fa-var-file-pdf,\n  \"book-bible\": $fa-var-book-bible,\n  \"bible\": $fa-var-bible,\n  \"o\": $fa-var-o,\n  \"suitcase-medical\": $fa-var-suitcase-medical,\n  \"medkit\": $fa-var-medkit,\n  \"user-secret\": $fa-var-user-secret,\n  \"otter\": $fa-var-otter,\n  \"person-dress\": $fa-var-person-dress,\n  \"female\": $fa-var-female,\n  \"comment-dollar\": $fa-var-comment-dollar,\n  \"business-time\": $fa-var-business-time,\n  \"briefcase-clock\": $fa-var-briefcase-clock,\n  \"table-cells-large\": $fa-var-table-cells-large,\n  \"th-large\": $fa-var-th-large,\n  \"book-tanakh\": $fa-var-book-tanakh,\n  \"tanakh\": $fa-var-tanakh,\n  \"phone-volume\": $fa-var-phone-volume,\n  \"volume-control-phone\": $fa-var-volume-control-phone,\n  \"hat-cowboy-side\": $fa-var-hat-cowboy-side,\n  \"clipboard-user\": $fa-var-clipboard-user,\n  \"child\": $fa-var-child,\n  \"lira-sign\": $fa-var-lira-sign,\n  \"satellite\": $fa-var-satellite,\n  \"plane-lock\": $fa-var-plane-lock,\n  \"tag\": $fa-var-tag,\n  \"comment\": $fa-var-comment,\n  \"cake-candles\": $fa-var-cake-candles,\n  \"birthday-cake\": $fa-var-birthday-cake,\n  \"cake\": $fa-var-cake,\n  \"envelope\": $fa-var-envelope,\n  \"angles-up\": $fa-var-angles-up,\n  \"angle-double-up\": $fa-var-angle-double-up,\n  \"paperclip\": $fa-var-paperclip,\n  \"arrow-right-to-city\": $fa-var-arrow-right-to-city,\n  \"ribbon\": $fa-var-ribbon,\n  \"lungs\": $fa-var-lungs,\n  \"arrow-up-9-1\": $fa-var-arrow-up-9-1,\n  \"sort-numeric-up-alt\": $fa-var-sort-numeric-up-alt,\n  \"litecoin-sign\": $fa-var-litecoin-sign,\n  \"border-none\": $fa-var-border-none,\n  \"circle-nodes\": $fa-var-circle-nodes,\n  \"parachute-box\": $fa-var-parachute-box,\n  \"indent\": $fa-var-indent,\n  \"truck-field-un\": $fa-var-truck-field-un,\n  \"hourglass\": $fa-var-hourglass,\n  \"hourglass-empty\": $fa-var-hourglass-empty,\n  \"mountain\": $fa-var-mountain,\n  \"user-doctor\": $fa-var-user-doctor,\n  \"user-md\": $fa-var-user-md,\n  \"circle-info\": $fa-var-circle-info,\n  \"info-circle\": $fa-var-info-circle,\n  \"cloud-meatball\": $fa-var-cloud-meatball,\n  \"camera\": $fa-var-camera,\n  \"camera-alt\": $fa-var-camera-alt,\n  \"square-virus\": $fa-var-square-virus,\n  \"meteor\": $fa-var-meteor,\n  \"car-on\": $fa-var-car-on,\n  \"sleigh\": $fa-var-sleigh,\n  \"arrow-down-1-9\": $fa-var-arrow-down-1-9,\n  \"sort-numeric-asc\": $fa-var-sort-numeric-asc,\n  \"sort-numeric-down\": $fa-var-sort-numeric-down,\n  \"hand-holding-droplet\": $fa-var-hand-holding-droplet,\n  \"hand-holding-water\": $fa-var-hand-holding-water,\n  \"water\": $fa-var-water,\n  \"calendar-check\": $fa-var-calendar-check,\n  \"braille\": $fa-var-braille,\n  \"prescription-bottle-medical\": $fa-var-prescription-bottle-medical,\n  \"prescription-bottle-alt\": $fa-var-prescription-bottle-alt,\n  \"landmark\": $fa-var-landmark,\n  \"truck\": $fa-var-truck,\n  \"crosshairs\": $fa-var-crosshairs,\n  \"person-cane\": $fa-var-person-cane,\n  \"tent\": $fa-var-tent,\n  \"vest-patches\": $fa-var-vest-patches,\n  \"check-double\": $fa-var-check-double,\n  \"arrow-down-a-z\": $fa-var-arrow-down-a-z,\n  \"sort-alpha-asc\": $fa-var-sort-alpha-asc,\n  \"sort-alpha-down\": $fa-var-sort-alpha-down,\n  \"money-bill-wheat\": $fa-var-money-bill-wheat,\n  \"cookie\": $fa-var-cookie,\n  \"arrow-rotate-left\": $fa-var-arrow-rotate-left,\n  \"arrow-left-rotate\": $fa-var-arrow-left-rotate,\n  \"arrow-rotate-back\": $fa-var-arrow-rotate-back,\n  \"arrow-rotate-backward\": $fa-var-arrow-rotate-backward,\n  \"undo\": $fa-var-undo,\n  \"hard-drive\": $fa-var-hard-drive,\n  \"hdd\": $fa-var-hdd,\n  \"face-grin-squint-tears\": $fa-var-face-grin-squint-tears,\n  \"grin-squint-tears\": $fa-var-grin-squint-tears,\n  \"dumbbell\": $fa-var-dumbbell,\n  \"rectangle-list\": $fa-var-rectangle-list,\n  \"list-alt\": $fa-var-list-alt,\n  \"tarp-droplet\": $fa-var-tarp-droplet,\n  \"house-medical-circle-check\": $fa-var-house-medical-circle-check,\n  \"person-skiing-nordic\": $fa-var-person-skiing-nordic,\n  \"skiing-nordic\": $fa-var-skiing-nordic,\n  \"calendar-plus\": $fa-var-calendar-plus,\n  \"plane-arrival\": $fa-var-plane-arrival,\n  \"circle-left\": $fa-var-circle-left,\n  \"arrow-alt-circle-left\": $fa-var-arrow-alt-circle-left,\n  \"train-subway\": $fa-var-train-subway,\n  \"subway\": $fa-var-subway,\n  \"chart-gantt\": $fa-var-chart-gantt,\n  \"indian-rupee-sign\": $fa-var-indian-rupee-sign,\n  \"indian-rupee\": $fa-var-indian-rupee,\n  \"inr\": $fa-var-inr,\n  \"crop-simple\": $fa-var-crop-simple,\n  \"crop-alt\": $fa-var-crop-alt,\n  \"money-bill-1\": $fa-var-money-bill-1,\n  \"money-bill-alt\": $fa-var-money-bill-alt,\n  \"left-long\": $fa-var-left-long,\n  \"long-arrow-alt-left\": $fa-var-long-arrow-alt-left,\n  \"dna\": $fa-var-dna,\n  \"virus-slash\": $fa-var-virus-slash,\n  \"minus\": $fa-var-minus,\n  \"subtract\": $fa-var-subtract,\n  \"chess\": $fa-var-chess,\n  \"arrow-left-long\": $fa-var-arrow-left-long,\n  \"long-arrow-left\": $fa-var-long-arrow-left,\n  \"plug-circle-check\": $fa-var-plug-circle-check,\n  \"street-view\": $fa-var-street-view,\n  \"franc-sign\": $fa-var-franc-sign,\n  \"volume-off\": $fa-var-volume-off,\n  \"hands-asl-interpreting\": $fa-var-hands-asl-interpreting,\n  \"american-sign-language-interpreting\": $fa-var-american-sign-language-interpreting,\n  \"asl-interpreting\": $fa-var-asl-interpreting,\n  \"hands-american-sign-language-interpreting\": $fa-var-hands-american-sign-language-interpreting,\n  \"gear\": $fa-var-gear,\n  \"cog\": $fa-var-cog,\n  \"droplet-slash\": $fa-var-droplet-slash,\n  \"tint-slash\": $fa-var-tint-slash,\n  \"mosque\": $fa-var-mosque,\n  \"mosquito\": $fa-var-mosquito,\n  \"star-of-david\": $fa-var-star-of-david,\n  \"person-military-rifle\": $fa-var-person-military-rifle,\n  \"cart-shopping\": $fa-var-cart-shopping,\n  \"shopping-cart\": $fa-var-shopping-cart,\n  \"vials\": $fa-var-vials,\n  \"plug-circle-plus\": $fa-var-plug-circle-plus,\n  \"place-of-worship\": $fa-var-place-of-worship,\n  \"grip-vertical\": $fa-var-grip-vertical,\n  \"arrow-turn-up\": $fa-var-arrow-turn-up,\n  \"level-up\": $fa-var-level-up,\n  \"u\": $fa-var-u,\n  \"square-root-variable\": $fa-var-square-root-variable,\n  \"square-root-alt\": $fa-var-square-root-alt,\n  \"clock\": $fa-var-clock,\n  \"clock-four\": $fa-var-clock-four,\n  \"backward-step\": $fa-var-backward-step,\n  \"step-backward\": $fa-var-step-backward,\n  \"pallet\": $fa-var-pallet,\n  \"faucet\": $fa-var-faucet,\n  \"baseball-bat-ball\": $fa-var-baseball-bat-ball,\n  \"s\": $fa-var-s,\n  \"timeline\": $fa-var-timeline,\n  \"keyboard\": $fa-var-keyboard,\n  \"caret-down\": $fa-var-caret-down,\n  \"house-chimney-medical\": $fa-var-house-chimney-medical,\n  \"clinic-medical\": $fa-var-clinic-medical,\n  \"temperature-three-quarters\": $fa-var-temperature-three-quarters,\n  \"temperature-3\": $fa-var-temperature-3,\n  \"thermometer-3\": $fa-var-thermometer-3,\n  \"thermometer-three-quarters\": $fa-var-thermometer-three-quarters,\n  \"mobile-screen\": $fa-var-mobile-screen,\n  \"mobile-android-alt\": $fa-var-mobile-android-alt,\n  \"plane-up\": $fa-var-plane-up,\n  \"piggy-bank\": $fa-var-piggy-bank,\n  \"battery-half\": $fa-var-battery-half,\n  \"battery-3\": $fa-var-battery-3,\n  \"mountain-city\": $fa-var-mountain-city,\n  \"coins\": $fa-var-coins,\n  \"khanda\": $fa-var-khanda,\n  \"sliders\": $fa-var-sliders,\n  \"sliders-h\": $fa-var-sliders-h,\n  \"folder-tree\": $fa-var-folder-tree,\n  \"network-wired\": $fa-var-network-wired,\n  \"map-pin\": $fa-var-map-pin,\n  \"hamsa\": $fa-var-hamsa,\n  \"cent-sign\": $fa-var-cent-sign,\n  \"flask\": $fa-var-flask,\n  \"person-pregnant\": $fa-var-person-pregnant,\n  \"wand-sparkles\": $fa-var-wand-sparkles,\n  \"ellipsis-vertical\": $fa-var-ellipsis-vertical,\n  \"ellipsis-v\": $fa-var-ellipsis-v,\n  \"ticket\": $fa-var-ticket,\n  \"power-off\": $fa-var-power-off,\n  \"right-long\": $fa-var-right-long,\n  \"long-arrow-alt-right\": $fa-var-long-arrow-alt-right,\n  \"flag-usa\": $fa-var-flag-usa,\n  \"laptop-file\": $fa-var-laptop-file,\n  \"tty\": $fa-var-tty,\n  \"teletype\": $fa-var-teletype,\n  \"diagram-next\": $fa-var-diagram-next,\n  \"person-rifle\": $fa-var-person-rifle,\n  \"house-medical-circle-exclamation\": $fa-var-house-medical-circle-exclamation,\n  \"closed-captioning\": $fa-var-closed-captioning,\n  \"person-hiking\": $fa-var-person-hiking,\n  \"hiking\": $fa-var-hiking,\n  \"venus-double\": $fa-var-venus-double,\n  \"images\": $fa-var-images,\n  \"calculator\": $fa-var-calculator,\n  \"people-pulling\": $fa-var-people-pulling,\n  \"n\": $fa-var-n,\n  \"cable-car\": $fa-var-cable-car,\n  \"tram\": $fa-var-tram,\n  \"cloud-rain\": $fa-var-cloud-rain,\n  \"building-circle-xmark\": $fa-var-building-circle-xmark,\n  \"ship\": $fa-var-ship,\n  \"arrows-down-to-line\": $fa-var-arrows-down-to-line,\n  \"download\": $fa-var-download,\n  \"face-grin\": $fa-var-face-grin,\n  \"grin\": $fa-var-grin,\n  \"delete-left\": $fa-var-delete-left,\n  \"backspace\": $fa-var-backspace,\n  \"eye-dropper\": $fa-var-eye-dropper,\n  \"eye-dropper-empty\": $fa-var-eye-dropper-empty,\n  \"eyedropper\": $fa-var-eyedropper,\n  \"file-circle-check\": $fa-var-file-circle-check,\n  \"forward\": $fa-var-forward,\n  \"mobile\": $fa-var-mobile,\n  \"mobile-android\": $fa-var-mobile-android,\n  \"mobile-phone\": $fa-var-mobile-phone,\n  \"face-meh\": $fa-var-face-meh,\n  \"meh\": $fa-var-meh,\n  \"align-center\": $fa-var-align-center,\n  \"book-skull\": $fa-var-book-skull,\n  \"book-dead\": $fa-var-book-dead,\n  \"id-card\": $fa-var-id-card,\n  \"drivers-license\": $fa-var-drivers-license,\n  \"outdent\": $fa-var-outdent,\n  \"dedent\": $fa-var-dedent,\n  \"heart-circle-exclamation\": $fa-var-heart-circle-exclamation,\n  \"house\": $fa-var-house,\n  \"home\": $fa-var-home,\n  \"home-alt\": $fa-var-home-alt,\n  \"home-lg-alt\": $fa-var-home-lg-alt,\n  \"calendar-week\": $fa-var-calendar-week,\n  \"laptop-medical\": $fa-var-laptop-medical,\n  \"b\": $fa-var-b,\n  \"file-medical\": $fa-var-file-medical,\n  \"dice-one\": $fa-var-dice-one,\n  \"kiwi-bird\": $fa-var-kiwi-bird,\n  \"arrow-right-arrow-left\": $fa-var-arrow-right-arrow-left,\n  \"exchange\": $fa-var-exchange,\n  \"rotate-right\": $fa-var-rotate-right,\n  \"redo-alt\": $fa-var-redo-alt,\n  \"rotate-forward\": $fa-var-rotate-forward,\n  \"utensils\": $fa-var-utensils,\n  \"cutlery\": $fa-var-cutlery,\n  \"arrow-up-wide-short\": $fa-var-arrow-up-wide-short,\n  \"sort-amount-up\": $fa-var-sort-amount-up,\n  \"mill-sign\": $fa-var-mill-sign,\n  \"bowl-rice\": $fa-var-bowl-rice,\n  \"skull\": $fa-var-skull,\n  \"tower-broadcast\": $fa-var-tower-broadcast,\n  \"broadcast-tower\": $fa-var-broadcast-tower,\n  \"truck-pickup\": $fa-var-truck-pickup,\n  \"up-long\": $fa-var-up-long,\n  \"long-arrow-alt-up\": $fa-var-long-arrow-alt-up,\n  \"stop\": $fa-var-stop,\n  \"code-merge\": $fa-var-code-merge,\n  \"upload\": $fa-var-upload,\n  \"hurricane\": $fa-var-hurricane,\n  \"mound\": $fa-var-mound,\n  \"toilet-portable\": $fa-var-toilet-portable,\n  \"compact-disc\": $fa-var-compact-disc,\n  \"file-arrow-down\": $fa-var-file-arrow-down,\n  \"file-download\": $fa-var-file-download,\n  \"caravan\": $fa-var-caravan,\n  \"shield-cat\": $fa-var-shield-cat,\n  \"bolt\": $fa-var-bolt,\n  \"zap\": $fa-var-zap,\n  \"glass-water\": $fa-var-glass-water,\n  \"oil-well\": $fa-var-oil-well,\n  \"vault\": $fa-var-vault,\n  \"mars\": $fa-var-mars,\n  \"toilet\": $fa-var-toilet,\n  \"plane-circle-xmark\": $fa-var-plane-circle-xmark,\n  \"yen-sign\": $fa-var-yen-sign,\n  \"cny\": $fa-var-cny,\n  \"jpy\": $fa-var-jpy,\n  \"rmb\": $fa-var-rmb,\n  \"yen\": $fa-var-yen,\n  \"ruble-sign\": $fa-var-ruble-sign,\n  \"rouble\": $fa-var-rouble,\n  \"rub\": $fa-var-rub,\n  \"ruble\": $fa-var-ruble,\n  \"sun\": $fa-var-sun,\n  \"guitar\": $fa-var-guitar,\n  \"face-laugh-wink\": $fa-var-face-laugh-wink,\n  \"laugh-wink\": $fa-var-laugh-wink,\n  \"horse-head\": $fa-var-horse-head,\n  \"bore-hole\": $fa-var-bore-hole,\n  \"industry\": $fa-var-industry,\n  \"circle-down\": $fa-var-circle-down,\n  \"arrow-alt-circle-down\": $fa-var-arrow-alt-circle-down,\n  \"arrows-turn-to-dots\": $fa-var-arrows-turn-to-dots,\n  \"florin-sign\": $fa-var-florin-sign,\n  \"arrow-down-short-wide\": $fa-var-arrow-down-short-wide,\n  \"sort-amount-desc\": $fa-var-sort-amount-desc,\n  \"sort-amount-down-alt\": $fa-var-sort-amount-down-alt,\n  \"less-than\": $fa-var-less-than,\n  \"angle-down\": $fa-var-angle-down,\n  \"car-tunnel\": $fa-var-car-tunnel,\n  \"head-side-cough\": $fa-var-head-side-cough,\n  \"grip-lines\": $fa-var-grip-lines,\n  \"thumbs-down\": $fa-var-thumbs-down,\n  \"user-lock\": $fa-var-user-lock,\n  \"arrow-right-long\": $fa-var-arrow-right-long,\n  \"long-arrow-right\": $fa-var-long-arrow-right,\n  \"anchor-circle-xmark\": $fa-var-anchor-circle-xmark,\n  \"ellipsis\": $fa-var-ellipsis,\n  \"ellipsis-h\": $fa-var-ellipsis-h,\n  \"chess-pawn\": $fa-var-chess-pawn,\n  \"kit-medical\": $fa-var-kit-medical,\n  \"first-aid\": $fa-var-first-aid,\n  \"person-through-window\": $fa-var-person-through-window,\n  \"toolbox\": $fa-var-toolbox,\n  \"hands-holding-circle\": $fa-var-hands-holding-circle,\n  \"bug\": $fa-var-bug,\n  \"credit-card\": $fa-var-credit-card,\n  \"credit-card-alt\": $fa-var-credit-card-alt,\n  \"car\": $fa-var-car,\n  \"automobile\": $fa-var-automobile,\n  \"hand-holding-hand\": $fa-var-hand-holding-hand,\n  \"book-open-reader\": $fa-var-book-open-reader,\n  \"book-reader\": $fa-var-book-reader,\n  \"mountain-sun\": $fa-var-mountain-sun,\n  \"arrows-left-right-to-line\": $fa-var-arrows-left-right-to-line,\n  \"dice-d20\": $fa-var-dice-d20,\n  \"truck-droplet\": $fa-var-truck-droplet,\n  \"file-circle-xmark\": $fa-var-file-circle-xmark,\n  \"temperature-arrow-up\": $fa-var-temperature-arrow-up,\n  \"temperature-up\": $fa-var-temperature-up,\n  \"medal\": $fa-var-medal,\n  \"bed\": $fa-var-bed,\n  \"square-h\": $fa-var-square-h,\n  \"h-square\": $fa-var-h-square,\n  \"podcast\": $fa-var-podcast,\n  \"temperature-full\": $fa-var-temperature-full,\n  \"temperature-4\": $fa-var-temperature-4,\n  \"thermometer-4\": $fa-var-thermometer-4,\n  \"thermometer-full\": $fa-var-thermometer-full,\n  \"bell\": $fa-var-bell,\n  \"superscript\": $fa-var-superscript,\n  \"plug-circle-xmark\": $fa-var-plug-circle-xmark,\n  \"star-of-life\": $fa-var-star-of-life,\n  \"phone-slash\": $fa-var-phone-slash,\n  \"paint-roller\": $fa-var-paint-roller,\n  \"handshake-angle\": $fa-var-handshake-angle,\n  \"hands-helping\": $fa-var-hands-helping,\n  \"location-dot\": $fa-var-location-dot,\n  \"map-marker-alt\": $fa-var-map-marker-alt,\n  \"file\": $fa-var-file,\n  \"greater-than\": $fa-var-greater-than,\n  \"person-swimming\": $fa-var-person-swimming,\n  \"swimmer\": $fa-var-swimmer,\n  \"arrow-down\": $fa-var-arrow-down,\n  \"droplet\": $fa-var-droplet,\n  \"tint\": $fa-var-tint,\n  \"eraser\": $fa-var-eraser,\n  \"earth-americas\": $fa-var-earth-americas,\n  \"earth\": $fa-var-earth,\n  \"earth-america\": $fa-var-earth-america,\n  \"globe-americas\": $fa-var-globe-americas,\n  \"person-burst\": $fa-var-person-burst,\n  \"dove\": $fa-var-dove,\n  \"battery-empty\": $fa-var-battery-empty,\n  \"battery-0\": $fa-var-battery-0,\n  \"socks\": $fa-var-socks,\n  \"inbox\": $fa-var-inbox,\n  \"section\": $fa-var-section,\n  \"gauge-high\": $fa-var-gauge-high,\n  \"tachometer-alt\": $fa-var-tachometer-alt,\n  \"tachometer-alt-fast\": $fa-var-tachometer-alt-fast,\n  \"envelope-open-text\": $fa-var-envelope-open-text,\n  \"hospital\": $fa-var-hospital,\n  \"hospital-alt\": $fa-var-hospital-alt,\n  \"hospital-wide\": $fa-var-hospital-wide,\n  \"wine-bottle\": $fa-var-wine-bottle,\n  \"chess-rook\": $fa-var-chess-rook,\n  \"bars-staggered\": $fa-var-bars-staggered,\n  \"reorder\": $fa-var-reorder,\n  \"stream\": $fa-var-stream,\n  \"dharmachakra\": $fa-var-dharmachakra,\n  \"hotdog\": $fa-var-hotdog,\n  \"person-walking-with-cane\": $fa-var-person-walking-with-cane,\n  \"blind\": $fa-var-blind,\n  \"drum\": $fa-var-drum,\n  \"ice-cream\": $fa-var-ice-cream,\n  \"heart-circle-bolt\": $fa-var-heart-circle-bolt,\n  \"fax\": $fa-var-fax,\n  \"paragraph\": $fa-var-paragraph,\n  \"check-to-slot\": $fa-var-check-to-slot,\n  \"vote-yea\": $fa-var-vote-yea,\n  \"star-half\": $fa-var-star-half,\n  \"boxes-stacked\": $fa-var-boxes-stacked,\n  \"boxes\": $fa-var-boxes,\n  \"boxes-alt\": $fa-var-boxes-alt,\n  \"link\": $fa-var-link,\n  \"chain\": $fa-var-chain,\n  \"ear-listen\": $fa-var-ear-listen,\n  \"assistive-listening-systems\": $fa-var-assistive-listening-systems,\n  \"tree-city\": $fa-var-tree-city,\n  \"play\": $fa-var-play,\n  \"font\": $fa-var-font,\n  \"table-cells-row-lock\": $fa-var-table-cells-row-lock,\n  \"rupiah-sign\": $fa-var-rupiah-sign,\n  \"magnifying-glass\": $fa-var-magnifying-glass,\n  \"search\": $fa-var-search,\n  \"table-tennis-paddle-ball\": $fa-var-table-tennis-paddle-ball,\n  \"ping-pong-paddle-ball\": $fa-var-ping-pong-paddle-ball,\n  \"table-tennis\": $fa-var-table-tennis,\n  \"person-dots-from-line\": $fa-var-person-dots-from-line,\n  \"diagnoses\": $fa-var-diagnoses,\n  \"trash-can-arrow-up\": $fa-var-trash-can-arrow-up,\n  \"trash-restore-alt\": $fa-var-trash-restore-alt,\n  \"naira-sign\": $fa-var-naira-sign,\n  \"cart-arrow-down\": $fa-var-cart-arrow-down,\n  \"walkie-talkie\": $fa-var-walkie-talkie,\n  \"file-pen\": $fa-var-file-pen,\n  \"file-edit\": $fa-var-file-edit,\n  \"receipt\": $fa-var-receipt,\n  \"square-pen\": $fa-var-square-pen,\n  \"pen-square\": $fa-var-pen-square,\n  \"pencil-square\": $fa-var-pencil-square,\n  \"suitcase-rolling\": $fa-var-suitcase-rolling,\n  \"person-circle-exclamation\": $fa-var-person-circle-exclamation,\n  \"chevron-down\": $fa-var-chevron-down,\n  \"battery-full\": $fa-var-battery-full,\n  \"battery\": $fa-var-battery,\n  \"battery-5\": $fa-var-battery-5,\n  \"skull-crossbones\": $fa-var-skull-crossbones,\n  \"code-compare\": $fa-var-code-compare,\n  \"list-ul\": $fa-var-list-ul,\n  \"list-dots\": $fa-var-list-dots,\n  \"school-lock\": $fa-var-school-lock,\n  \"tower-cell\": $fa-var-tower-cell,\n  \"down-long\": $fa-var-down-long,\n  \"long-arrow-alt-down\": $fa-var-long-arrow-alt-down,\n  \"ranking-star\": $fa-var-ranking-star,\n  \"chess-king\": $fa-var-chess-king,\n  \"person-harassing\": $fa-var-person-harassing,\n  \"brazilian-real-sign\": $fa-var-brazilian-real-sign,\n  \"landmark-dome\": $fa-var-landmark-dome,\n  \"landmark-alt\": $fa-var-landmark-alt,\n  \"arrow-up\": $fa-var-arrow-up,\n  \"tv\": $fa-var-tv,\n  \"television\": $fa-var-television,\n  \"tv-alt\": $fa-var-tv-alt,\n  \"shrimp\": $fa-var-shrimp,\n  \"list-check\": $fa-var-list-check,\n  \"tasks\": $fa-var-tasks,\n  \"jug-detergent\": $fa-var-jug-detergent,\n  \"circle-user\": $fa-var-circle-user,\n  \"user-circle\": $fa-var-user-circle,\n  \"user-shield\": $fa-var-user-shield,\n  \"wind\": $fa-var-wind,\n  \"car-burst\": $fa-var-car-burst,\n  \"car-crash\": $fa-var-car-crash,\n  \"y\": $fa-var-y,\n  \"person-snowboarding\": $fa-var-person-snowboarding,\n  \"snowboarding\": $fa-var-snowboarding,\n  \"truck-fast\": $fa-var-truck-fast,\n  \"shipping-fast\": $fa-var-shipping-fast,\n  \"fish\": $fa-var-fish,\n  \"user-graduate\": $fa-var-user-graduate,\n  \"circle-half-stroke\": $fa-var-circle-half-stroke,\n  \"adjust\": $fa-var-adjust,\n  \"clapperboard\": $fa-var-clapperboard,\n  \"circle-radiation\": $fa-var-circle-radiation,\n  \"radiation-alt\": $fa-var-radiation-alt,\n  \"baseball\": $fa-var-baseball,\n  \"baseball-ball\": $fa-var-baseball-ball,\n  \"jet-fighter-up\": $fa-var-jet-fighter-up,\n  \"diagram-project\": $fa-var-diagram-project,\n  \"project-diagram\": $fa-var-project-diagram,\n  \"copy\": $fa-var-copy,\n  \"volume-xmark\": $fa-var-volume-xmark,\n  \"volume-mute\": $fa-var-volume-mute,\n  \"volume-times\": $fa-var-volume-times,\n  \"hand-sparkles\": $fa-var-hand-sparkles,\n  \"grip\": $fa-var-grip,\n  \"grip-horizontal\": $fa-var-grip-horizontal,\n  \"share-from-square\": $fa-var-share-from-square,\n  \"share-square\": $fa-var-share-square,\n  \"child-combatant\": $fa-var-child-combatant,\n  \"child-rifle\": $fa-var-child-rifle,\n  \"gun\": $fa-var-gun,\n  \"square-phone\": $fa-var-square-phone,\n  \"phone-square\": $fa-var-phone-square,\n  \"plus\": $fa-var-plus,\n  \"add\": $fa-var-add,\n  \"expand\": $fa-var-expand,\n  \"computer\": $fa-var-computer,\n  \"xmark\": $fa-var-xmark,\n  \"close\": $fa-var-close,\n  \"multiply\": $fa-var-multiply,\n  \"remove\": $fa-var-remove,\n  \"times\": $fa-var-times,\n  \"arrows-up-down-left-right\": $fa-var-arrows-up-down-left-right,\n  \"arrows\": $fa-var-arrows,\n  \"chalkboard-user\": $fa-var-chalkboard-user,\n  \"chalkboard-teacher\": $fa-var-chalkboard-teacher,\n  \"peso-sign\": $fa-var-peso-sign,\n  \"building-shield\": $fa-var-building-shield,\n  \"baby\": $fa-var-baby,\n  \"users-line\": $fa-var-users-line,\n  \"quote-left\": $fa-var-quote-left,\n  \"quote-left-alt\": $fa-var-quote-left-alt,\n  \"tractor\": $fa-var-tractor,\n  \"trash-arrow-up\": $fa-var-trash-arrow-up,\n  \"trash-restore\": $fa-var-trash-restore,\n  \"arrow-down-up-lock\": $fa-var-arrow-down-up-lock,\n  \"lines-leaning\": $fa-var-lines-leaning,\n  \"ruler-combined\": $fa-var-ruler-combined,\n  \"copyright\": $fa-var-copyright,\n  \"equals\": $fa-var-equals,\n  \"blender\": $fa-var-blender,\n  \"teeth\": $fa-var-teeth,\n  \"shekel-sign\": $fa-var-shekel-sign,\n  \"ils\": $fa-var-ils,\n  \"shekel\": $fa-var-shekel,\n  \"sheqel\": $fa-var-sheqel,\n  \"sheqel-sign\": $fa-var-sheqel-sign,\n  \"map\": $fa-var-map,\n  \"rocket\": $fa-var-rocket,\n  \"photo-film\": $fa-var-photo-film,\n  \"photo-video\": $fa-var-photo-video,\n  \"folder-minus\": $fa-var-folder-minus,\n  \"store\": $fa-var-store,\n  \"arrow-trend-up\": $fa-var-arrow-trend-up,\n  \"plug-circle-minus\": $fa-var-plug-circle-minus,\n  \"sign-hanging\": $fa-var-sign-hanging,\n  \"sign\": $fa-var-sign,\n  \"bezier-curve\": $fa-var-bezier-curve,\n  \"bell-slash\": $fa-var-bell-slash,\n  \"tablet\": $fa-var-tablet,\n  \"tablet-android\": $fa-var-tablet-android,\n  \"school-flag\": $fa-var-school-flag,\n  \"fill\": $fa-var-fill,\n  \"angle-up\": $fa-var-angle-up,\n  \"drumstick-bite\": $fa-var-drumstick-bite,\n  \"holly-berry\": $fa-var-holly-berry,\n  \"chevron-left\": $fa-var-chevron-left,\n  \"bacteria\": $fa-var-bacteria,\n  \"hand-lizard\": $fa-var-hand-lizard,\n  \"notdef\": $fa-var-notdef,\n  \"disease\": $fa-var-disease,\n  \"briefcase-medical\": $fa-var-briefcase-medical,\n  \"genderless\": $fa-var-genderless,\n  \"chevron-right\": $fa-var-chevron-right,\n  \"retweet\": $fa-var-retweet,\n  \"car-rear\": $fa-var-car-rear,\n  \"car-alt\": $fa-var-car-alt,\n  \"pump-soap\": $fa-var-pump-soap,\n  \"video-slash\": $fa-var-video-slash,\n  \"battery-quarter\": $fa-var-battery-quarter,\n  \"battery-2\": $fa-var-battery-2,\n  \"radio\": $fa-var-radio,\n  \"baby-carriage\": $fa-var-baby-carriage,\n  \"carriage-baby\": $fa-var-carriage-baby,\n  \"traffic-light\": $fa-var-traffic-light,\n  \"thermometer\": $fa-var-thermometer,\n  \"vr-cardboard\": $fa-var-vr-cardboard,\n  \"hand-middle-finger\": $fa-var-hand-middle-finger,\n  \"percent\": $fa-var-percent,\n  \"percentage\": $fa-var-percentage,\n  \"truck-moving\": $fa-var-truck-moving,\n  \"glass-water-droplet\": $fa-var-glass-water-droplet,\n  \"display\": $fa-var-display,\n  \"face-smile\": $fa-var-face-smile,\n  \"smile\": $fa-var-smile,\n  \"thumbtack\": $fa-var-thumbtack,\n  \"thumb-tack\": $fa-var-thumb-tack,\n  \"trophy\": $fa-var-trophy,\n  \"person-praying\": $fa-var-person-praying,\n  \"pray\": $fa-var-pray,\n  \"hammer\": $fa-var-hammer,\n  \"hand-peace\": $fa-var-hand-peace,\n  \"rotate\": $fa-var-rotate,\n  \"sync-alt\": $fa-var-sync-alt,\n  \"spinner\": $fa-var-spinner,\n  \"robot\": $fa-var-robot,\n  \"peace\": $fa-var-peace,\n  \"gears\": $fa-var-gears,\n  \"cogs\": $fa-var-cogs,\n  \"warehouse\": $fa-var-warehouse,\n  \"arrow-up-right-dots\": $fa-var-arrow-up-right-dots,\n  \"splotch\": $fa-var-splotch,\n  \"face-grin-hearts\": $fa-var-face-grin-hearts,\n  \"grin-hearts\": $fa-var-grin-hearts,\n  \"dice-four\": $fa-var-dice-four,\n  \"sim-card\": $fa-var-sim-card,\n  \"transgender\": $fa-var-transgender,\n  \"transgender-alt\": $fa-var-transgender-alt,\n  \"mercury\": $fa-var-mercury,\n  \"arrow-turn-down\": $fa-var-arrow-turn-down,\n  \"level-down\": $fa-var-level-down,\n  \"person-falling-burst\": $fa-var-person-falling-burst,\n  \"award\": $fa-var-award,\n  \"ticket-simple\": $fa-var-ticket-simple,\n  \"ticket-alt\": $fa-var-ticket-alt,\n  \"building\": $fa-var-building,\n  \"angles-left\": $fa-var-angles-left,\n  \"angle-double-left\": $fa-var-angle-double-left,\n  \"qrcode\": $fa-var-qrcode,\n  \"clock-rotate-left\": $fa-var-clock-rotate-left,\n  \"history\": $fa-var-history,\n  \"face-grin-beam-sweat\": $fa-var-face-grin-beam-sweat,\n  \"grin-beam-sweat\": $fa-var-grin-beam-sweat,\n  \"file-export\": $fa-var-file-export,\n  \"arrow-right-from-file\": $fa-var-arrow-right-from-file,\n  \"shield\": $fa-var-shield,\n  \"shield-blank\": $fa-var-shield-blank,\n  \"arrow-up-short-wide\": $fa-var-arrow-up-short-wide,\n  \"sort-amount-up-alt\": $fa-var-sort-amount-up-alt,\n  \"house-medical\": $fa-var-house-medical,\n  \"golf-ball-tee\": $fa-var-golf-ball-tee,\n  \"golf-ball\": $fa-var-golf-ball,\n  \"circle-chevron-left\": $fa-var-circle-chevron-left,\n  \"chevron-circle-left\": $fa-var-chevron-circle-left,\n  \"house-chimney-window\": $fa-var-house-chimney-window,\n  \"pen-nib\": $fa-var-pen-nib,\n  \"tent-arrow-turn-left\": $fa-var-tent-arrow-turn-left,\n  \"tents\": $fa-var-tents,\n  \"wand-magic\": $fa-var-wand-magic,\n  \"magic\": $fa-var-magic,\n  \"dog\": $fa-var-dog,\n  \"carrot\": $fa-var-carrot,\n  \"moon\": $fa-var-moon,\n  \"wine-glass-empty\": $fa-var-wine-glass-empty,\n  \"wine-glass-alt\": $fa-var-wine-glass-alt,\n  \"cheese\": $fa-var-cheese,\n  \"yin-yang\": $fa-var-yin-yang,\n  \"music\": $fa-var-music,\n  \"code-commit\": $fa-var-code-commit,\n  \"temperature-low\": $fa-var-temperature-low,\n  \"person-biking\": $fa-var-person-biking,\n  \"biking\": $fa-var-biking,\n  \"broom\": $fa-var-broom,\n  \"shield-heart\": $fa-var-shield-heart,\n  \"gopuram\": $fa-var-gopuram,\n  \"earth-oceania\": $fa-var-earth-oceania,\n  \"globe-oceania\": $fa-var-globe-oceania,\n  \"square-xmark\": $fa-var-square-xmark,\n  \"times-square\": $fa-var-times-square,\n  \"xmark-square\": $fa-var-xmark-square,\n  \"hashtag\": $fa-var-hashtag,\n  \"up-right-and-down-left-from-center\": $fa-var-up-right-and-down-left-from-center,\n  \"expand-alt\": $fa-var-expand-alt,\n  \"oil-can\": $fa-var-oil-can,\n  \"t\": $fa-var-t,\n  \"hippo\": $fa-var-hippo,\n  \"chart-column\": $fa-var-chart-column,\n  \"infinity\": $fa-var-infinity,\n  \"vial-circle-check\": $fa-var-vial-circle-check,\n  \"person-arrow-down-to-line\": $fa-var-person-arrow-down-to-line,\n  \"voicemail\": $fa-var-voicemail,\n  \"fan\": $fa-var-fan,\n  \"person-walking-luggage\": $fa-var-person-walking-luggage,\n  \"up-down\": $fa-var-up-down,\n  \"arrows-alt-v\": $fa-var-arrows-alt-v,\n  \"cloud-moon-rain\": $fa-var-cloud-moon-rain,\n  \"calendar\": $fa-var-calendar,\n  \"trailer\": $fa-var-trailer,\n  \"bahai\": $fa-var-bahai,\n  \"haykal\": $fa-var-haykal,\n  \"sd-card\": $fa-var-sd-card,\n  \"dragon\": $fa-var-dragon,\n  \"shoe-prints\": $fa-var-shoe-prints,\n  \"circle-plus\": $fa-var-circle-plus,\n  \"plus-circle\": $fa-var-plus-circle,\n  \"face-grin-tongue-wink\": $fa-var-face-grin-tongue-wink,\n  \"grin-tongue-wink\": $fa-var-grin-tongue-wink,\n  \"hand-holding\": $fa-var-hand-holding,\n  \"plug-circle-exclamation\": $fa-var-plug-circle-exclamation,\n  \"link-slash\": $fa-var-link-slash,\n  \"chain-broken\": $fa-var-chain-broken,\n  \"chain-slash\": $fa-var-chain-slash,\n  \"unlink\": $fa-var-unlink,\n  \"clone\": $fa-var-clone,\n  \"person-walking-arrow-loop-left\": $fa-var-person-walking-arrow-loop-left,\n  \"arrow-up-z-a\": $fa-var-arrow-up-z-a,\n  \"sort-alpha-up-alt\": $fa-var-sort-alpha-up-alt,\n  \"fire-flame-curved\": $fa-var-fire-flame-curved,\n  \"fire-alt\": $fa-var-fire-alt,\n  \"tornado\": $fa-var-tornado,\n  \"file-circle-plus\": $fa-var-file-circle-plus,\n  \"book-quran\": $fa-var-book-quran,\n  \"quran\": $fa-var-quran,\n  \"anchor\": $fa-var-anchor,\n  \"border-all\": $fa-var-border-all,\n  \"face-angry\": $fa-var-face-angry,\n  \"angry\": $fa-var-angry,\n  \"cookie-bite\": $fa-var-cookie-bite,\n  \"arrow-trend-down\": $fa-var-arrow-trend-down,\n  \"rss\": $fa-var-rss,\n  \"feed\": $fa-var-feed,\n  \"draw-polygon\": $fa-var-draw-polygon,\n  \"scale-balanced\": $fa-var-scale-balanced,\n  \"balance-scale\": $fa-var-balance-scale,\n  \"gauge-simple-high\": $fa-var-gauge-simple-high,\n  \"tachometer\": $fa-var-tachometer,\n  \"tachometer-fast\": $fa-var-tachometer-fast,\n  \"shower\": $fa-var-shower,\n  \"desktop\": $fa-var-desktop,\n  \"desktop-alt\": $fa-var-desktop-alt,\n  \"m\": $fa-var-m,\n  \"table-list\": $fa-var-table-list,\n  \"th-list\": $fa-var-th-list,\n  \"comment-sms\": $fa-var-comment-sms,\n  \"sms\": $fa-var-sms,\n  \"book\": $fa-var-book,\n  \"user-plus\": $fa-var-user-plus,\n  \"check\": $fa-var-check,\n  \"battery-three-quarters\": $fa-var-battery-three-quarters,\n  \"battery-4\": $fa-var-battery-4,\n  \"house-circle-check\": $fa-var-house-circle-check,\n  \"angle-left\": $fa-var-angle-left,\n  \"diagram-successor\": $fa-var-diagram-successor,\n  \"truck-arrow-right\": $fa-var-truck-arrow-right,\n  \"arrows-split-up-and-left\": $fa-var-arrows-split-up-and-left,\n  \"hand-fist\": $fa-var-hand-fist,\n  \"fist-raised\": $fa-var-fist-raised,\n  \"cloud-moon\": $fa-var-cloud-moon,\n  \"briefcase\": $fa-var-briefcase,\n  \"person-falling\": $fa-var-person-falling,\n  \"image-portrait\": $fa-var-image-portrait,\n  \"portrait\": $fa-var-portrait,\n  \"user-tag\": $fa-var-user-tag,\n  \"rug\": $fa-var-rug,\n  \"earth-europe\": $fa-var-earth-europe,\n  \"globe-europe\": $fa-var-globe-europe,\n  \"cart-flatbed-suitcase\": $fa-var-cart-flatbed-suitcase,\n  \"luggage-cart\": $fa-var-luggage-cart,\n  \"rectangle-xmark\": $fa-var-rectangle-xmark,\n  \"rectangle-times\": $fa-var-rectangle-times,\n  \"times-rectangle\": $fa-var-times-rectangle,\n  \"window-close\": $fa-var-window-close,\n  \"baht-sign\": $fa-var-baht-sign,\n  \"book-open\": $fa-var-book-open,\n  \"book-journal-whills\": $fa-var-book-journal-whills,\n  \"journal-whills\": $fa-var-journal-whills,\n  \"handcuffs\": $fa-var-handcuffs,\n  \"triangle-exclamation\": $fa-var-triangle-exclamation,\n  \"exclamation-triangle\": $fa-var-exclamation-triangle,\n  \"warning\": $fa-var-warning,\n  \"database\": $fa-var-database,\n  \"share\": $fa-var-share,\n  \"mail-forward\": $fa-var-mail-forward,\n  \"bottle-droplet\": $fa-var-bottle-droplet,\n  \"mask-face\": $fa-var-mask-face,\n  \"hill-rockslide\": $fa-var-hill-rockslide,\n  \"right-left\": $fa-var-right-left,\n  \"exchange-alt\": $fa-var-exchange-alt,\n  \"paper-plane\": $fa-var-paper-plane,\n  \"road-circle-exclamation\": $fa-var-road-circle-exclamation,\n  \"dungeon\": $fa-var-dungeon,\n  \"align-right\": $fa-var-align-right,\n  \"money-bill-1-wave\": $fa-var-money-bill-1-wave,\n  \"money-bill-wave-alt\": $fa-var-money-bill-wave-alt,\n  \"life-ring\": $fa-var-life-ring,\n  \"hands\": $fa-var-hands,\n  \"sign-language\": $fa-var-sign-language,\n  \"signing\": $fa-var-signing,\n  \"calendar-day\": $fa-var-calendar-day,\n  \"water-ladder\": $fa-var-water-ladder,\n  \"ladder-water\": $fa-var-ladder-water,\n  \"swimming-pool\": $fa-var-swimming-pool,\n  \"arrows-up-down\": $fa-var-arrows-up-down,\n  \"arrows-v\": $fa-var-arrows-v,\n  \"face-grimace\": $fa-var-face-grimace,\n  \"grimace\": $fa-var-grimace,\n  \"wheelchair-move\": $fa-var-wheelchair-move,\n  \"wheelchair-alt\": $fa-var-wheelchair-alt,\n  \"turn-down\": $fa-var-turn-down,\n  \"level-down-alt\": $fa-var-level-down-alt,\n  \"person-walking-arrow-right\": $fa-var-person-walking-arrow-right,\n  \"square-envelope\": $fa-var-square-envelope,\n  \"envelope-square\": $fa-var-envelope-square,\n  \"dice\": $fa-var-dice,\n  \"bowling-ball\": $fa-var-bowling-ball,\n  \"brain\": $fa-var-brain,\n  \"bandage\": $fa-var-bandage,\n  \"band-aid\": $fa-var-band-aid,\n  \"calendar-minus\": $fa-var-calendar-minus,\n  \"circle-xmark\": $fa-var-circle-xmark,\n  \"times-circle\": $fa-var-times-circle,\n  \"xmark-circle\": $fa-var-xmark-circle,\n  \"gifts\": $fa-var-gifts,\n  \"hotel\": $fa-var-hotel,\n  \"earth-asia\": $fa-var-earth-asia,\n  \"globe-asia\": $fa-var-globe-asia,\n  \"id-card-clip\": $fa-var-id-card-clip,\n  \"id-card-alt\": $fa-var-id-card-alt,\n  \"magnifying-glass-plus\": $fa-var-magnifying-glass-plus,\n  \"search-plus\": $fa-var-search-plus,\n  \"thumbs-up\": $fa-var-thumbs-up,\n  \"user-clock\": $fa-var-user-clock,\n  \"hand-dots\": $fa-var-hand-dots,\n  \"allergies\": $fa-var-allergies,\n  \"file-invoice\": $fa-var-file-invoice,\n  \"window-minimize\": $fa-var-window-minimize,\n  \"mug-saucer\": $fa-var-mug-saucer,\n  \"coffee\": $fa-var-coffee,\n  \"brush\": $fa-var-brush,\n  \"mask\": $fa-var-mask,\n  \"magnifying-glass-minus\": $fa-var-magnifying-glass-minus,\n  \"search-minus\": $fa-var-search-minus,\n  \"ruler-vertical\": $fa-var-ruler-vertical,\n  \"user-large\": $fa-var-user-large,\n  \"user-alt\": $fa-var-user-alt,\n  \"train-tram\": $fa-var-train-tram,\n  \"user-nurse\": $fa-var-user-nurse,\n  \"syringe\": $fa-var-syringe,\n  \"cloud-sun\": $fa-var-cloud-sun,\n  \"stopwatch-20\": $fa-var-stopwatch-20,\n  \"square-full\": $fa-var-square-full,\n  \"magnet\": $fa-var-magnet,\n  \"jar\": $fa-var-jar,\n  \"note-sticky\": $fa-var-note-sticky,\n  \"sticky-note\": $fa-var-sticky-note,\n  \"bug-slash\": $fa-var-bug-slash,\n  \"arrow-up-from-water-pump\": $fa-var-arrow-up-from-water-pump,\n  \"bone\": $fa-var-bone,\n  \"user-injured\": $fa-var-user-injured,\n  \"face-sad-tear\": $fa-var-face-sad-tear,\n  \"sad-tear\": $fa-var-sad-tear,\n  \"plane\": $fa-var-plane,\n  \"tent-arrows-down\": $fa-var-tent-arrows-down,\n  \"exclamation\": $fa-var-exclamation,\n  \"arrows-spin\": $fa-var-arrows-spin,\n  \"print\": $fa-var-print,\n  \"turkish-lira-sign\": $fa-var-turkish-lira-sign,\n  \"try\": $fa-var-try,\n  \"turkish-lira\": $fa-var-turkish-lira,\n  \"dollar-sign\": $fa-var-dollar-sign,\n  \"dollar\": $fa-var-dollar,\n  \"usd\": $fa-var-usd,\n  \"x\": $fa-var-x,\n  \"magnifying-glass-dollar\": $fa-var-magnifying-glass-dollar,\n  \"search-dollar\": $fa-var-search-dollar,\n  \"users-gear\": $fa-var-users-gear,\n  \"users-cog\": $fa-var-users-cog,\n  \"person-military-pointing\": $fa-var-person-military-pointing,\n  \"building-columns\": $fa-var-building-columns,\n  \"bank\": $fa-var-bank,\n  \"institution\": $fa-var-institution,\n  \"museum\": $fa-var-museum,\n  \"university\": $fa-var-university,\n  \"umbrella\": $fa-var-umbrella,\n  \"trowel\": $fa-var-trowel,\n  \"d\": $fa-var-d,\n  \"stapler\": $fa-var-stapler,\n  \"masks-theater\": $fa-var-masks-theater,\n  \"theater-masks\": $fa-var-theater-masks,\n  \"kip-sign\": $fa-var-kip-sign,\n  \"hand-point-left\": $fa-var-hand-point-left,\n  \"handshake-simple\": $fa-var-handshake-simple,\n  \"handshake-alt\": $fa-var-handshake-alt,\n  \"jet-fighter\": $fa-var-jet-fighter,\n  \"fighter-jet\": $fa-var-fighter-jet,\n  \"square-share-nodes\": $fa-var-square-share-nodes,\n  \"share-alt-square\": $fa-var-share-alt-square,\n  \"barcode\": $fa-var-barcode,\n  \"plus-minus\": $fa-var-plus-minus,\n  \"video\": $fa-var-video,\n  \"video-camera\": $fa-var-video-camera,\n  \"graduation-cap\": $fa-var-graduation-cap,\n  \"mortar-board\": $fa-var-mortar-board,\n  \"hand-holding-medical\": $fa-var-hand-holding-medical,\n  \"person-circle-check\": $fa-var-person-circle-check,\n  \"turn-up\": $fa-var-turn-up,\n  \"level-up-alt\": $fa-var-level-up-alt,\n);\n\n$fa-brand-icons: (\n  \"monero\": $fa-var-monero,\n  \"hooli\": $fa-var-hooli,\n  \"yelp\": $fa-var-yelp,\n  \"cc-visa\": $fa-var-cc-visa,\n  \"lastfm\": $fa-var-lastfm,\n  \"shopware\": $fa-var-shopware,\n  \"creative-commons-nc\": $fa-var-creative-commons-nc,\n  \"aws\": $fa-var-aws,\n  \"redhat\": $fa-var-redhat,\n  \"yoast\": $fa-var-yoast,\n  \"cloudflare\": $fa-var-cloudflare,\n  \"ups\": $fa-var-ups,\n  \"pixiv\": $fa-var-pixiv,\n  \"wpexplorer\": $fa-var-wpexplorer,\n  \"dyalog\": $fa-var-dyalog,\n  \"bity\": $fa-var-bity,\n  \"stackpath\": $fa-var-stackpath,\n  \"buysellads\": $fa-var-buysellads,\n  \"first-order\": $fa-var-first-order,\n  \"modx\": $fa-var-modx,\n  \"guilded\": $fa-var-guilded,\n  \"vnv\": $fa-var-vnv,\n  \"square-js\": $fa-var-square-js,\n  \"js-square\": $fa-var-js-square,\n  \"microsoft\": $fa-var-microsoft,\n  \"qq\": $fa-var-qq,\n  \"orcid\": $fa-var-orcid,\n  \"java\": $fa-var-java,\n  \"invision\": $fa-var-invision,\n  \"creative-commons-pd-alt\": $fa-var-creative-commons-pd-alt,\n  \"centercode\": $fa-var-centercode,\n  \"glide-g\": $fa-var-glide-g,\n  \"drupal\": $fa-var-drupal,\n  \"jxl\": $fa-var-jxl,\n  \"hire-a-helper\": $fa-var-hire-a-helper,\n  \"creative-commons-by\": $fa-var-creative-commons-by,\n  \"unity\": $fa-var-unity,\n  \"whmcs\": $fa-var-whmcs,\n  \"rocketchat\": $fa-var-rocketchat,\n  \"vk\": $fa-var-vk,\n  \"untappd\": $fa-var-untappd,\n  \"mailchimp\": $fa-var-mailchimp,\n  \"css3-alt\": $fa-var-css3-alt,\n  \"square-reddit\": $fa-var-square-reddit,\n  \"reddit-square\": $fa-var-reddit-square,\n  \"vimeo-v\": $fa-var-vimeo-v,\n  \"contao\": $fa-var-contao,\n  \"square-font-awesome\": $fa-var-square-font-awesome,\n  \"deskpro\": $fa-var-deskpro,\n  \"brave\": $fa-var-brave,\n  \"sistrix\": $fa-var-sistrix,\n  \"square-instagram\": $fa-var-square-instagram,\n  \"instagram-square\": $fa-var-instagram-square,\n  \"battle-net\": $fa-var-battle-net,\n  \"the-red-yeti\": $fa-var-the-red-yeti,\n  \"square-hacker-news\": $fa-var-square-hacker-news,\n  \"hacker-news-square\": $fa-var-hacker-news-square,\n  \"edge\": $fa-var-edge,\n  \"threads\": $fa-var-threads,\n  \"napster\": $fa-var-napster,\n  \"square-snapchat\": $fa-var-square-snapchat,\n  \"snapchat-square\": $fa-var-snapchat-square,\n  \"google-plus-g\": $fa-var-google-plus-g,\n  \"artstation\": $fa-var-artstation,\n  \"markdown\": $fa-var-markdown,\n  \"sourcetree\": $fa-var-sourcetree,\n  \"google-plus\": $fa-var-google-plus,\n  \"diaspora\": $fa-var-diaspora,\n  \"foursquare\": $fa-var-foursquare,\n  \"stack-overflow\": $fa-var-stack-overflow,\n  \"github-alt\": $fa-var-github-alt,\n  \"phoenix-squadron\": $fa-var-phoenix-squadron,\n  \"pagelines\": $fa-var-pagelines,\n  \"algolia\": $fa-var-algolia,\n  \"red-river\": $fa-var-red-river,\n  \"creative-commons-sa\": $fa-var-creative-commons-sa,\n  \"safari\": $fa-var-safari,\n  \"google\": $fa-var-google,\n  \"square-font-awesome-stroke\": $fa-var-square-font-awesome-stroke,\n  \"font-awesome-alt\": $fa-var-font-awesome-alt,\n  \"atlassian\": $fa-var-atlassian,\n  \"linkedin-in\": $fa-var-linkedin-in,\n  \"digital-ocean\": $fa-var-digital-ocean,\n  \"nimblr\": $fa-var-nimblr,\n  \"chromecast\": $fa-var-chromecast,\n  \"evernote\": $fa-var-evernote,\n  \"hacker-news\": $fa-var-hacker-news,\n  \"creative-commons-sampling\": $fa-var-creative-commons-sampling,\n  \"adversal\": $fa-var-adversal,\n  \"creative-commons\": $fa-var-creative-commons,\n  \"watchman-monitoring\": $fa-var-watchman-monitoring,\n  \"fonticons\": $fa-var-fonticons,\n  \"weixin\": $fa-var-weixin,\n  \"shirtsinbulk\": $fa-var-shirtsinbulk,\n  \"codepen\": $fa-var-codepen,\n  \"git-alt\": $fa-var-git-alt,\n  \"lyft\": $fa-var-lyft,\n  \"rev\": $fa-var-rev,\n  \"windows\": $fa-var-windows,\n  \"wizards-of-the-coast\": $fa-var-wizards-of-the-coast,\n  \"square-viadeo\": $fa-var-square-viadeo,\n  \"viadeo-square\": $fa-var-viadeo-square,\n  \"meetup\": $fa-var-meetup,\n  \"centos\": $fa-var-centos,\n  \"adn\": $fa-var-adn,\n  \"cloudsmith\": $fa-var-cloudsmith,\n  \"opensuse\": $fa-var-opensuse,\n  \"pied-piper-alt\": $fa-var-pied-piper-alt,\n  \"square-dribbble\": $fa-var-square-dribbble,\n  \"dribbble-square\": $fa-var-dribbble-square,\n  \"codiepie\": $fa-var-codiepie,\n  \"node\": $fa-var-node,\n  \"mix\": $fa-var-mix,\n  \"steam\": $fa-var-steam,\n  \"cc-apple-pay\": $fa-var-cc-apple-pay,\n  \"scribd\": $fa-var-scribd,\n  \"debian\": $fa-var-debian,\n  \"openid\": $fa-var-openid,\n  \"instalod\": $fa-var-instalod,\n  \"expeditedssl\": $fa-var-expeditedssl,\n  \"sellcast\": $fa-var-sellcast,\n  \"square-twitter\": $fa-var-square-twitter,\n  \"twitter-square\": $fa-var-twitter-square,\n  \"r-project\": $fa-var-r-project,\n  \"delicious\": $fa-var-delicious,\n  \"freebsd\": $fa-var-freebsd,\n  \"vuejs\": $fa-var-vuejs,\n  \"accusoft\": $fa-var-accusoft,\n  \"ioxhost\": $fa-var-ioxhost,\n  \"fonticons-fi\": $fa-var-fonticons-fi,\n  \"app-store\": $fa-var-app-store,\n  \"cc-mastercard\": $fa-var-cc-mastercard,\n  \"itunes-note\": $fa-var-itunes-note,\n  \"golang\": $fa-var-golang,\n  \"kickstarter\": $fa-var-kickstarter,\n  \"square-kickstarter\": $fa-var-square-kickstarter,\n  \"grav\": $fa-var-grav,\n  \"weibo\": $fa-var-weibo,\n  \"uncharted\": $fa-var-uncharted,\n  \"firstdraft\": $fa-var-firstdraft,\n  \"square-youtube\": $fa-var-square-youtube,\n  \"youtube-square\": $fa-var-youtube-square,\n  \"wikipedia-w\": $fa-var-wikipedia-w,\n  \"wpressr\": $fa-var-wpressr,\n  \"rendact\": $fa-var-rendact,\n  \"angellist\": $fa-var-angellist,\n  \"galactic-republic\": $fa-var-galactic-republic,\n  \"nfc-directional\": $fa-var-nfc-directional,\n  \"skype\": $fa-var-skype,\n  \"joget\": $fa-var-joget,\n  \"fedora\": $fa-var-fedora,\n  \"stripe-s\": $fa-var-stripe-s,\n  \"meta\": $fa-var-meta,\n  \"laravel\": $fa-var-laravel,\n  \"hotjar\": $fa-var-hotjar,\n  \"bluetooth-b\": $fa-var-bluetooth-b,\n  \"square-letterboxd\": $fa-var-square-letterboxd,\n  \"sticker-mule\": $fa-var-sticker-mule,\n  \"creative-commons-zero\": $fa-var-creative-commons-zero,\n  \"hips\": $fa-var-hips,\n  \"behance\": $fa-var-behance,\n  \"reddit\": $fa-var-reddit,\n  \"discord\": $fa-var-discord,\n  \"chrome\": $fa-var-chrome,\n  \"app-store-ios\": $fa-var-app-store-ios,\n  \"cc-discover\": $fa-var-cc-discover,\n  \"wpbeginner\": $fa-var-wpbeginner,\n  \"confluence\": $fa-var-confluence,\n  \"shoelace\": $fa-var-shoelace,\n  \"mdb\": $fa-var-mdb,\n  \"dochub\": $fa-var-dochub,\n  \"accessible-icon\": $fa-var-accessible-icon,\n  \"ebay\": $fa-var-ebay,\n  \"amazon\": $fa-var-amazon,\n  \"unsplash\": $fa-var-unsplash,\n  \"yarn\": $fa-var-yarn,\n  \"square-steam\": $fa-var-square-steam,\n  \"steam-square\": $fa-var-steam-square,\n  \"500px\": $fa-var-500px,\n  \"square-vimeo\": $fa-var-square-vimeo,\n  \"vimeo-square\": $fa-var-vimeo-square,\n  \"asymmetrik\": $fa-var-asymmetrik,\n  \"font-awesome\": $fa-var-font-awesome,\n  \"font-awesome-flag\": $fa-var-font-awesome-flag,\n  \"font-awesome-logo-full\": $fa-var-font-awesome-logo-full,\n  \"gratipay\": $fa-var-gratipay,\n  \"apple\": $fa-var-apple,\n  \"hive\": $fa-var-hive,\n  \"gitkraken\": $fa-var-gitkraken,\n  \"keybase\": $fa-var-keybase,\n  \"apple-pay\": $fa-var-apple-pay,\n  \"padlet\": $fa-var-padlet,\n  \"amazon-pay\": $fa-var-amazon-pay,\n  \"square-github\": $fa-var-square-github,\n  \"github-square\": $fa-var-github-square,\n  \"stumbleupon\": $fa-var-stumbleupon,\n  \"fedex\": $fa-var-fedex,\n  \"phoenix-framework\": $fa-var-phoenix-framework,\n  \"shopify\": $fa-var-shopify,\n  \"neos\": $fa-var-neos,\n  \"square-threads\": $fa-var-square-threads,\n  \"hackerrank\": $fa-var-hackerrank,\n  \"researchgate\": $fa-var-researchgate,\n  \"swift\": $fa-var-swift,\n  \"angular\": $fa-var-angular,\n  \"speakap\": $fa-var-speakap,\n  \"angrycreative\": $fa-var-angrycreative,\n  \"y-combinator\": $fa-var-y-combinator,\n  \"empire\": $fa-var-empire,\n  \"envira\": $fa-var-envira,\n  \"google-scholar\": $fa-var-google-scholar,\n  \"square-gitlab\": $fa-var-square-gitlab,\n  \"gitlab-square\": $fa-var-gitlab-square,\n  \"studiovinari\": $fa-var-studiovinari,\n  \"pied-piper\": $fa-var-pied-piper,\n  \"wordpress\": $fa-var-wordpress,\n  \"product-hunt\": $fa-var-product-hunt,\n  \"firefox\": $fa-var-firefox,\n  \"linode\": $fa-var-linode,\n  \"goodreads\": $fa-var-goodreads,\n  \"square-odnoklassniki\": $fa-var-square-odnoklassniki,\n  \"odnoklassniki-square\": $fa-var-odnoklassniki-square,\n  \"jsfiddle\": $fa-var-jsfiddle,\n  \"sith\": $fa-var-sith,\n  \"themeisle\": $fa-var-themeisle,\n  \"page4\": $fa-var-page4,\n  \"hashnode\": $fa-var-hashnode,\n  \"react\": $fa-var-react,\n  \"cc-paypal\": $fa-var-cc-paypal,\n  \"squarespace\": $fa-var-squarespace,\n  \"cc-stripe\": $fa-var-cc-stripe,\n  \"creative-commons-share\": $fa-var-creative-commons-share,\n  \"bitcoin\": $fa-var-bitcoin,\n  \"keycdn\": $fa-var-keycdn,\n  \"opera\": $fa-var-opera,\n  \"itch-io\": $fa-var-itch-io,\n  \"umbraco\": $fa-var-umbraco,\n  \"galactic-senate\": $fa-var-galactic-senate,\n  \"ubuntu\": $fa-var-ubuntu,\n  \"draft2digital\": $fa-var-draft2digital,\n  \"stripe\": $fa-var-stripe,\n  \"houzz\": $fa-var-houzz,\n  \"gg\": $fa-var-gg,\n  \"dhl\": $fa-var-dhl,\n  \"square-pinterest\": $fa-var-square-pinterest,\n  \"pinterest-square\": $fa-var-pinterest-square,\n  \"xing\": $fa-var-xing,\n  \"blackberry\": $fa-var-blackberry,\n  \"creative-commons-pd\": $fa-var-creative-commons-pd,\n  \"playstation\": $fa-var-playstation,\n  \"quinscape\": $fa-var-quinscape,\n  \"less\": $fa-var-less,\n  \"blogger-b\": $fa-var-blogger-b,\n  \"opencart\": $fa-var-opencart,\n  \"vine\": $fa-var-vine,\n  \"signal-messenger\": $fa-var-signal-messenger,\n  \"paypal\": $fa-var-paypal,\n  \"gitlab\": $fa-var-gitlab,\n  \"typo3\": $fa-var-typo3,\n  \"reddit-alien\": $fa-var-reddit-alien,\n  \"yahoo\": $fa-var-yahoo,\n  \"dailymotion\": $fa-var-dailymotion,\n  \"affiliatetheme\": $fa-var-affiliatetheme,\n  \"pied-piper-pp\": $fa-var-pied-piper-pp,\n  \"bootstrap\": $fa-var-bootstrap,\n  \"odnoklassniki\": $fa-var-odnoklassniki,\n  \"nfc-symbol\": $fa-var-nfc-symbol,\n  \"mintbit\": $fa-var-mintbit,\n  \"ethereum\": $fa-var-ethereum,\n  \"speaker-deck\": $fa-var-speaker-deck,\n  \"creative-commons-nc-eu\": $fa-var-creative-commons-nc-eu,\n  \"patreon\": $fa-var-patreon,\n  \"avianex\": $fa-var-avianex,\n  \"ello\": $fa-var-ello,\n  \"gofore\": $fa-var-gofore,\n  \"bimobject\": $fa-var-bimobject,\n  \"brave-reverse\": $fa-var-brave-reverse,\n  \"facebook-f\": $fa-var-facebook-f,\n  \"square-google-plus\": $fa-var-square-google-plus,\n  \"google-plus-square\": $fa-var-google-plus-square,\n  \"web-awesome\": $fa-var-web-awesome,\n  \"mandalorian\": $fa-var-mandalorian,\n  \"first-order-alt\": $fa-var-first-order-alt,\n  \"osi\": $fa-var-osi,\n  \"google-wallet\": $fa-var-google-wallet,\n  \"d-and-d-beyond\": $fa-var-d-and-d-beyond,\n  \"periscope\": $fa-var-periscope,\n  \"fulcrum\": $fa-var-fulcrum,\n  \"cloudscale\": $fa-var-cloudscale,\n  \"forumbee\": $fa-var-forumbee,\n  \"mizuni\": $fa-var-mizuni,\n  \"schlix\": $fa-var-schlix,\n  \"square-xing\": $fa-var-square-xing,\n  \"xing-square\": $fa-var-xing-square,\n  \"bandcamp\": $fa-var-bandcamp,\n  \"wpforms\": $fa-var-wpforms,\n  \"cloudversify\": $fa-var-cloudversify,\n  \"usps\": $fa-var-usps,\n  \"megaport\": $fa-var-megaport,\n  \"magento\": $fa-var-magento,\n  \"spotify\": $fa-var-spotify,\n  \"optin-monster\": $fa-var-optin-monster,\n  \"fly\": $fa-var-fly,\n  \"aviato\": $fa-var-aviato,\n  \"itunes\": $fa-var-itunes,\n  \"cuttlefish\": $fa-var-cuttlefish,\n  \"blogger\": $fa-var-blogger,\n  \"flickr\": $fa-var-flickr,\n  \"viber\": $fa-var-viber,\n  \"soundcloud\": $fa-var-soundcloud,\n  \"digg\": $fa-var-digg,\n  \"tencent-weibo\": $fa-var-tencent-weibo,\n  \"letterboxd\": $fa-var-letterboxd,\n  \"symfony\": $fa-var-symfony,\n  \"maxcdn\": $fa-var-maxcdn,\n  \"etsy\": $fa-var-etsy,\n  \"facebook-messenger\": $fa-var-facebook-messenger,\n  \"audible\": $fa-var-audible,\n  \"think-peaks\": $fa-var-think-peaks,\n  \"bilibili\": $fa-var-bilibili,\n  \"erlang\": $fa-var-erlang,\n  \"x-twitter\": $fa-var-x-twitter,\n  \"cotton-bureau\": $fa-var-cotton-bureau,\n  \"dashcube\": $fa-var-dashcube,\n  \"42-group\": $fa-var-42-group,\n  \"innosoft\": $fa-var-innosoft,\n  \"stack-exchange\": $fa-var-stack-exchange,\n  \"elementor\": $fa-var-elementor,\n  \"square-pied-piper\": $fa-var-square-pied-piper,\n  \"pied-piper-square\": $fa-var-pied-piper-square,\n  \"creative-commons-nd\": $fa-var-creative-commons-nd,\n  \"palfed\": $fa-var-palfed,\n  \"superpowers\": $fa-var-superpowers,\n  \"resolving\": $fa-var-resolving,\n  \"xbox\": $fa-var-xbox,\n  \"square-web-awesome-stroke\": $fa-var-square-web-awesome-stroke,\n  \"searchengin\": $fa-var-searchengin,\n  \"tiktok\": $fa-var-tiktok,\n  \"square-facebook\": $fa-var-square-facebook,\n  \"facebook-square\": $fa-var-facebook-square,\n  \"renren\": $fa-var-renren,\n  \"linux\": $fa-var-linux,\n  \"glide\": $fa-var-glide,\n  \"linkedin\": $fa-var-linkedin,\n  \"hubspot\": $fa-var-hubspot,\n  \"deploydog\": $fa-var-deploydog,\n  \"twitch\": $fa-var-twitch,\n  \"ravelry\": $fa-var-ravelry,\n  \"mixer\": $fa-var-mixer,\n  \"square-lastfm\": $fa-var-square-lastfm,\n  \"lastfm-square\": $fa-var-lastfm-square,\n  \"vimeo\": $fa-var-vimeo,\n  \"mendeley\": $fa-var-mendeley,\n  \"uniregistry\": $fa-var-uniregistry,\n  \"figma\": $fa-var-figma,\n  \"creative-commons-remix\": $fa-var-creative-commons-remix,\n  \"cc-amazon-pay\": $fa-var-cc-amazon-pay,\n  \"dropbox\": $fa-var-dropbox,\n  \"instagram\": $fa-var-instagram,\n  \"cmplid\": $fa-var-cmplid,\n  \"upwork\": $fa-var-upwork,\n  \"facebook\": $fa-var-facebook,\n  \"gripfire\": $fa-var-gripfire,\n  \"jedi-order\": $fa-var-jedi-order,\n  \"uikit\": $fa-var-uikit,\n  \"fort-awesome-alt\": $fa-var-fort-awesome-alt,\n  \"phabricator\": $fa-var-phabricator,\n  \"ussunnah\": $fa-var-ussunnah,\n  \"earlybirds\": $fa-var-earlybirds,\n  \"trade-federation\": $fa-var-trade-federation,\n  \"autoprefixer\": $fa-var-autoprefixer,\n  \"whatsapp\": $fa-var-whatsapp,\n  \"square-upwork\": $fa-var-square-upwork,\n  \"slideshare\": $fa-var-slideshare,\n  \"google-play\": $fa-var-google-play,\n  \"viadeo\": $fa-var-viadeo,\n  \"line\": $fa-var-line,\n  \"google-drive\": $fa-var-google-drive,\n  \"servicestack\": $fa-var-servicestack,\n  \"simplybuilt\": $fa-var-simplybuilt,\n  \"bitbucket\": $fa-var-bitbucket,\n  \"imdb\": $fa-var-imdb,\n  \"deezer\": $fa-var-deezer,\n  \"raspberry-pi\": $fa-var-raspberry-pi,\n  \"jira\": $fa-var-jira,\n  \"docker\": $fa-var-docker,\n  \"screenpal\": $fa-var-screenpal,\n  \"bluetooth\": $fa-var-bluetooth,\n  \"gitter\": $fa-var-gitter,\n  \"d-and-d\": $fa-var-d-and-d,\n  \"microblog\": $fa-var-microblog,\n  \"cc-diners-club\": $fa-var-cc-diners-club,\n  \"gg-circle\": $fa-var-gg-circle,\n  \"pied-piper-hat\": $fa-var-pied-piper-hat,\n  \"kickstarter-k\": $fa-var-kickstarter-k,\n  \"yandex\": $fa-var-yandex,\n  \"readme\": $fa-var-readme,\n  \"html5\": $fa-var-html5,\n  \"sellsy\": $fa-var-sellsy,\n  \"square-web-awesome\": $fa-var-square-web-awesome,\n  \"sass\": $fa-var-sass,\n  \"wirsindhandwerk\": $fa-var-wirsindhandwerk,\n  \"wsh\": $fa-var-wsh,\n  \"buromobelexperte\": $fa-var-buromobelexperte,\n  \"salesforce\": $fa-var-salesforce,\n  \"octopus-deploy\": $fa-var-octopus-deploy,\n  \"medapps\": $fa-var-medapps,\n  \"ns8\": $fa-var-ns8,\n  \"pinterest-p\": $fa-var-pinterest-p,\n  \"apper\": $fa-var-apper,\n  \"fort-awesome\": $fa-var-fort-awesome,\n  \"waze\": $fa-var-waze,\n  \"bluesky\": $fa-var-bluesky,\n  \"cc-jcb\": $fa-var-cc-jcb,\n  \"snapchat\": $fa-var-snapchat,\n  \"snapchat-ghost\": $fa-var-snapchat-ghost,\n  \"fantasy-flight-games\": $fa-var-fantasy-flight-games,\n  \"rust\": $fa-var-rust,\n  \"wix\": $fa-var-wix,\n  \"square-behance\": $fa-var-square-behance,\n  \"behance-square\": $fa-var-behance-square,\n  \"supple\": $fa-var-supple,\n  \"webflow\": $fa-var-webflow,\n  \"rebel\": $fa-var-rebel,\n  \"css3\": $fa-var-css3,\n  \"staylinked\": $fa-var-staylinked,\n  \"kaggle\": $fa-var-kaggle,\n  \"space-awesome\": $fa-var-space-awesome,\n  \"deviantart\": $fa-var-deviantart,\n  \"cpanel\": $fa-var-cpanel,\n  \"goodreads-g\": $fa-var-goodreads-g,\n  \"square-git\": $fa-var-square-git,\n  \"git-square\": $fa-var-git-square,\n  \"square-tumblr\": $fa-var-square-tumblr,\n  \"tumblr-square\": $fa-var-tumblr-square,\n  \"trello\": $fa-var-trello,\n  \"creative-commons-nc-jp\": $fa-var-creative-commons-nc-jp,\n  \"get-pocket\": $fa-var-get-pocket,\n  \"perbyte\": $fa-var-perbyte,\n  \"grunt\": $fa-var-grunt,\n  \"weebly\": $fa-var-weebly,\n  \"connectdevelop\": $fa-var-connectdevelop,\n  \"leanpub\": $fa-var-leanpub,\n  \"black-tie\": $fa-var-black-tie,\n  \"themeco\": $fa-var-themeco,\n  \"python\": $fa-var-python,\n  \"android\": $fa-var-android,\n  \"bots\": $fa-var-bots,\n  \"free-code-camp\": $fa-var-free-code-camp,\n  \"hornbill\": $fa-var-hornbill,\n  \"js\": $fa-var-js,\n  \"ideal\": $fa-var-ideal,\n  \"git\": $fa-var-git,\n  \"dev\": $fa-var-dev,\n  \"sketch\": $fa-var-sketch,\n  \"yandex-international\": $fa-var-yandex-international,\n  \"cc-amex\": $fa-var-cc-amex,\n  \"uber\": $fa-var-uber,\n  \"github\": $fa-var-github,\n  \"php\": $fa-var-php,\n  \"alipay\": $fa-var-alipay,\n  \"youtube\": $fa-var-youtube,\n  \"skyatlas\": $fa-var-skyatlas,\n  \"firefox-browser\": $fa-var-firefox-browser,\n  \"replyd\": $fa-var-replyd,\n  \"suse\": $fa-var-suse,\n  \"jenkins\": $fa-var-jenkins,\n  \"twitter\": $fa-var-twitter,\n  \"rockrms\": $fa-var-rockrms,\n  \"pinterest\": $fa-var-pinterest,\n  \"buffer\": $fa-var-buffer,\n  \"npm\": $fa-var-npm,\n  \"yammer\": $fa-var-yammer,\n  \"btc\": $fa-var-btc,\n  \"dribbble\": $fa-var-dribbble,\n  \"stumbleupon-circle\": $fa-var-stumbleupon-circle,\n  \"internet-explorer\": $fa-var-internet-explorer,\n  \"stubber\": $fa-var-stubber,\n  \"telegram\": $fa-var-telegram,\n  \"telegram-plane\": $fa-var-telegram-plane,\n  \"old-republic\": $fa-var-old-republic,\n  \"odysee\": $fa-var-odysee,\n  \"square-whatsapp\": $fa-var-square-whatsapp,\n  \"whatsapp-square\": $fa-var-whatsapp-square,\n  \"node-js\": $fa-var-node-js,\n  \"edge-legacy\": $fa-var-edge-legacy,\n  \"slack\": $fa-var-slack,\n  \"slack-hash\": $fa-var-slack-hash,\n  \"medrt\": $fa-var-medrt,\n  \"usb\": $fa-var-usb,\n  \"tumblr\": $fa-var-tumblr,\n  \"vaadin\": $fa-var-vaadin,\n  \"quora\": $fa-var-quora,\n  \"square-x-twitter\": $fa-var-square-x-twitter,\n  \"reacteurope\": $fa-var-reacteurope,\n  \"medium\": $fa-var-medium,\n  \"medium-m\": $fa-var-medium-m,\n  \"amilia\": $fa-var-amilia,\n  \"mixcloud\": $fa-var-mixcloud,\n  \"flipboard\": $fa-var-flipboard,\n  \"viacoin\": $fa-var-viacoin,\n  \"critical-role\": $fa-var-critical-role,\n  \"sitrox\": $fa-var-sitrox,\n  \"discourse\": $fa-var-discourse,\n  \"joomla\": $fa-var-joomla,\n  \"mastodon\": $fa-var-mastodon,\n  \"airbnb\": $fa-var-airbnb,\n  \"wolf-pack-battalion\": $fa-var-wolf-pack-battalion,\n  \"buy-n-large\": $fa-var-buy-n-large,\n  \"gulp\": $fa-var-gulp,\n  \"creative-commons-sampling-plus\": $fa-var-creative-commons-sampling-plus,\n  \"strava\": $fa-var-strava,\n  \"ember\": $fa-var-ember,\n  \"canadian-maple-leaf\": $fa-var-canadian-maple-leaf,\n  \"teamspeak\": $fa-var-teamspeak,\n  \"pushed\": $fa-var-pushed,\n  \"wordpress-simple\": $fa-var-wordpress-simple,\n  \"nutritionix\": $fa-var-nutritionix,\n  \"wodu\": $fa-var-wodu,\n  \"google-pay\": $fa-var-google-pay,\n  \"intercom\": $fa-var-intercom,\n  \"zhihu\": $fa-var-zhihu,\n  \"korvue\": $fa-var-korvue,\n  \"pix\": $fa-var-pix,\n  \"steam-symbol\": $fa-var-steam-symbol,\n);\n","// specific icon class definition\n// -------------------------\n\n/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen\nreaders do not read off random characters that represent icons */\n\n@each $name, $icon in $fa-icons {\n  .#{$fa-css-prefix}-#{$name}::before { content: unquote(\"\\\"#{ $icon }\\\"\"); }\n}\n\n","/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n@import 'functions';\n@import 'variables';\n\n:root, :host {\n  --#{$fa-css-prefix}-style-family-classic: '#{ $fa-style-family }';\n  --#{$fa-css-prefix}-font-solid: normal 900 1em/1 '#{ $fa-style-family }';\n}\n\n@font-face {\n  font-family: 'Font Awesome 6 Free';\n  font-style: normal;\n  font-weight: 900;\n  font-display: $fa-font-display;\n  src: url('#{$fa-font-path}/fa-solid-900.woff2') format('woff2'),\n    url('#{$fa-font-path}/fa-solid-900.ttf') format('truetype');\n}\n\n.fas,\n.#{$fa-css-prefix}-solid {\n  font-weight: 900;\n}\n","/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n@import 'functions';\n@import 'variables';\n\n:root, :host {\n  --#{$fa-css-prefix}-style-family-classic: '#{ $fa-style-family }';\n  --#{$fa-css-prefix}-font-regular: normal 400 1em/1 '#{ $fa-style-family }';\n}\n\n@font-face {\n  font-family: 'Font Awesome 6 Free';\n  font-style: normal;\n  font-weight: 400;\n  font-display: $fa-font-display;\n  src: url('#{$fa-font-path}/fa-regular-400.woff2') format('woff2'),\n    url('#{$fa-font-path}/fa-regular-400.ttf') format('truetype');\n}\n\n.far,\n.#{$fa-css-prefix}-regular {\n  font-weight: 400;\n}\n","/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n@import 'functions';\n@import 'variables';\n\n:root, :host {\n  --#{$fa-css-prefix}-style-family-brands: 'Font Awesome 6 Brands';\n  --#{$fa-css-prefix}-font-brands: normal 400 1em/1 'Font Awesome 6 Brands';\n}\n\n@font-face {\n  font-family: 'Font Awesome 6 Brands';\n  font-style: normal;\n  font-weight: 400;\n  font-display: $fa-font-display;\n  src: url('#{$fa-font-path}/fa-brands-400.woff2') format('woff2'),\n    url('#{$fa-font-path}/fa-brands-400.ttf') format('truetype');\n}\n\n.fab,\n.#{$fa-css-prefix}-brands {\n  font-weight: 400;\n}\n\n@each $name, $icon in $fa-brand-icons {\n  .#{$fa-css-prefix}-#{$name}:before { content: unquote(\"\\\"#{ $icon }\\\"\"); }\n}\n","html {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n\n  // Header height will impact the top offset for many sections\n  // Article header is 66% of Header\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n$breakpoint-sidebar-primary: lg; // When we collapse the primary sidebar\n$breakpoint-sidebar-secondary: xl; // When we collapse the secondary sidebar\n$breakpoint-page-width: 88rem; // taken from sphinx-basic-ng, which we are ultimately going to inherit\n\n/*******************************************************************************\n* Define the animation behaviour\n*/\n$animation-time: 200ms;\n\n/*******************************************************************************\n* UI shaping and padding\n*/\n$admonition-border-radius: 0.25rem;\n\n// In this theme, some focus rings have rounded corners while others do not.\n// This variable sets the border radius for the rounded focus rings.\n$focus-ring-radius: 0.125rem; // 2px at 100% zoom and 16px base font.\n\n$navbar-link-padding-y: 0.25rem;\n\n// Ensure that there is no overlap of bumper disks (smallest circle that\n// contains the bounding box of the interactive element).\n// - https://github.com/Quansight-Labs/czi-scientific-python-mgmt/issues/81#issuecomment-2251325783\n$nav-icon-column-gap: 1.12rem;\n\n// Determines vertical space between entries in both the section (left/primary\n// sidebar) and page (right/secondary sidebar) table of contents\n$toc-item-padding-y: 0.25rem;\n","html {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n\n  // base font size - applied at body/html level\n  --pst-font-size-base: 1rem;\n\n  // heading font sizes based on a medium contrast type scale\n  // - see: https://github.com/Quansight-Labs/czi-scientific-python-mgmt/issues/97#issuecomment-2310531483\n  --pst-font-size-h1: 2.625rem;\n  --pst-font-size-h2: 2.125rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1rem;\n\n  // smaller than heading font sizes\n  --pst-font-size-milli: 0.9rem;\n\n  // Sidebar styles\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n\n  // Admonition styles\n  --pst-admonition-font-weight-heading: 600;\n\n  // Font weights\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 600;\n\n  // Font family\n  // These are adapted from https://systemfontstack.com/ */\n  --pst-font-family-base-system: -apple-system, \"BlinkMacSystemFont\", \"Segoe UI\",\n    \"Helvetica Neue\", \"Arial\", sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\",\n    \"Segoe UI Symbol\";\n  --pst-font-family-monospace-system: \"SFMono-Regular\", \"Menlo\", \"Consolas\",\n    \"Monaco\", \"Liberation Mono\", \"Lucida Console\", monospace;\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n\n$line-height-body: 1.65;\n$fa-font-path: \"vendor/fontawesome/webfonts/\";\n","html {\n  /*****************************************************************************\n  * Icon\n  */\n\n  // Font size across all icons\n  --pst-font-size-icon: 1.5rem;\n\n  // Font Awesome default icons\n  --pst-icon-check-circle: \"\\f058\"; // fa-solid fa-circle-check\n  --pst-icon-info-circle: \"\\f05a\"; // fa-solid fa-circle-info\n  --pst-icon-exclamation-triangle: \"\\f071\"; // fa-solid fa-triangle-exclamation\n  --pst-icon-exclamation-circle: \"\\f06a\"; // fa-solid fa-circle-exclamation\n  --pst-icon-times-circle: \"\\f057\"; // fa-solid fa-circle-xmark\n  --pst-icon-lightbulb: \"\\f0eb\"; // fa-solid fa-lightbulb\n  --pst-icon-download: \"\\f019\"; // fa-solid fa-download\n  --pst-icon-angle-left: \"\\f104\"; // fa-solid fa-angle-left\n  --pst-icon-angle-right: \"\\f105\"; // fa-solid fa-angle-right\n  --pst-icon-external-link: \"\\f35d\"; // fa-solid fa-up-right-from-square\n  --pst-icon-search-minus: \"\\f010\"; // fa-solid fa-magnifying-glass-minus\n  --pst-icon-github: \"\\f09b\"; // fa-brands fa-github\n  --pst-icon-gitlab: \"\\f296\"; // fa-brands fa-gitlab\n  --pst-icon-share: \"\\f064\"; // fa-solid fa-share\n  --pst-icon-bell: \"\\f0f3\"; // fa-solid fa-bell\n  --pst-icon-pencil: \"\\f303\"; // fa-solid fa-pencil\n\n  // Bootstrap icons\n  --pst-breadcrumb-divider: \"\\f105\";\n}\n","html {\n  /*****************************************************************************\n  * Admonitions\n  **/\n\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n","html {\n  /*****************************************************************************\n  * versionmodified\n  **/\n\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n","html {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: $line-height-body;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n\n  // hack to avoid the black background on some browser including Safari\n  &::-webkit-scrollbar-track {\n    background-color: var(--pst-color-background);\n  }\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n\n  /* section header in docstring pages */\n  &.rubric {\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  &.centered {\n    text-align: center;\n  }\n}\n\na {\n  @include link-style-default;\n\n  // The # anchor that appears on hover over headings\n  &.headerlink {\n    color: var(--pst-color-secondary);\n    font-size: 0.8em;\n    padding: 0 4px;\n    margin-left: 0.2em;\n    text-decoration: none;\n    user-select: none;\n  }\n\n  // set up a icon next to the shorten links from github and gitlab\n  &.github,\n  &.gitlab {\n    &::before {\n      color: var(--pst-color-text-muted);\n      font: var(--fa-font-brands);\n      margin-right: 0.25rem;\n    }\n  }\n\n  &.github::before {\n    content: var(--pst-icon-github);\n  }\n\n  &.gitlab::before {\n    content: var(--pst-icon-gitlab);\n  }\n}\n\n%heading-style {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1 {\n  @extend %heading-style;\n\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-color-heading);\n}\n\nh2 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-color-heading);\n}\n\nh3 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-color-heading);\n}\n\nh4 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-color-heading);\n}\n\nh5 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  // use theme negative\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n\n  // Compound keyboard elements will have nested kbd in them, so this prevents double lines\n  &:not(.compound) {\n    border: 1px solid var(--pst-color-border);\n    margin: 0 0.1rem;\n    padding: 0.1rem 0.4rem;\n    box-shadow: 1px 1px 1px var(--pst-color-shadow);\n  }\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  .linenos {\n    // minimum opacity to make the line numbers WCAG AA conformant\n    opacity: 0.8;\n    padding-right: 10px;\n  }\n}\n\n// the back to top btn\n#pst-back-to-top {\n  // zindex-tooltip comes from Bootstrap https://getbootstrap.com/docs/5.2/layout/z-index/\n  z-index: $zindex-tooltip;\n  position: fixed;\n  display: none;\n  top: 90vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n\n  .fa-arrow-up {\n    // Using margin instead of a space character prevents the space between the\n    // icon and the text from being underlined when the button is hovered.\n    margin-inline-end: 0.5em;\n  }\n\n  &:hover {\n    @include link-style-hover;\n\n    text-decoration-thickness: 1px;\n    background-color: var(--pst-color-secondary-highlight);\n    color: var(--pst-color-secondary-highlight-text);\n  }\n\n  &:focus-visible {\n    box-shadow: none;\n    outline: $focus-ring-outline;\n    outline-color: var(--pst-color-secondary);\n    outline-offset: $focus-ring-width;\n  }\n}\n\n// Focus ring\n// ----------\n// Note: The Bootstrap stylesheet provides the focus ring (customized by this\n// theme via Sass variables in _bootstrap.scss) in some cases. This rule covers\n// all other cases.\n:focus-visible {\n  outline: $focus-ring-outline;\n  box-shadow: none; // override Bootstrap\n}\n","// Consistent styling for links\n// ============================\n\n@use \"sass:string\";\n\n// Define some useful variables for links styling consistency\n\n// The default thickness of the underline for links will be either:\n//  - 1px\n//  - 0.0625rem if it's thicker than 1px because the user has changed the text\n//    size in their browser\n$link-underline-thickness: string.unquote(\"max(1px, .0625rem)\") !default;\n\n// Offset of link underlines from text baseline\n// The default is 3px expressed as ems, as calculated against the default body\n// font size (on desktop).\n$link-underline-offset: 0.1578em !default;\n\n// Thickness of link underlines in hover state\n// The default for each link will be the thickest of the following:\n//  - 3px\n//  - 0.1875rem, if it's thicker than 3px because the user has changed the text\n//    size in their browser\n//  - 0.12em (relative to the link's text size)\n$link-hover-decoration-thickness: string.unquote(\n  \"max(3px, .1875rem, .12em)\"\n) !default;\n\n// Ensures links have an underline decoration by default - needed to meet\n// WCAG SC 1.4.1\n@mixin link-decoration {\n  text-decoration: underline;\n\n  @if $link-underline-thickness {\n    text-decoration-thickness: $link-underline-thickness;\n  }\n\n  @if $link-underline-offset {\n    text-underline-offset: $link-underline-offset;\n  }\n}\n\n// Ensures links have an underline decoration on hover - distinct from the\n// default behaviour\n@mixin link-decoration-hover {\n  @if $link-hover-decoration-thickness {\n    text-decoration-thickness: $link-hover-decoration-thickness;\n\n    // Disable ink skipping on underlines on hover.\n    text-decoration-skip-ink: none;\n  }\n}\n\n// Simple hover style - can be used alone or in conjunction with other mixins\n// Add the text underline and change in thickness on hover.\n// Intended for use with the `:hover` pseudo-class.\n@mixin link-style-hover {\n  @include link-decoration;\n  @include link-decoration-hover;\n\n  color: var(--pst-color-link-hover);\n}\n\n// Default link styles\n// -------------------\n// Defines: default unvisited, visited, hover, and active.\n// TODO: @trallard to improve focus styles in subsequent PR\n@mixin link-style-default {\n  // So that really long links don't spill out of their container\n  word-wrap: break-word;\n  color: var(--pst-color-link);\n\n  @include link-decoration;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to add active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link);\n  }\n\n  // Visited should still be hoverable\n  &:visited {\n    color: var(--pst-color-link);\n\n    &:hover {\n      color: var(--pst-color-link-hover);\n    }\n  }\n}\n\n// Text link styles\n// ----------------\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation bar links.\n@mixin link-style-text {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n\n    @include link-decoration;\n    @include link-decoration-hover;\n  }\n}\n\n// Sidebar and TOC links\n// ---------------------\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation the primary sidebar and table of contents.\n// Active and hover should work together rather than one overriding the other.\n@mixin link-sidebar {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    text-decoration: underline;\n    background-color: transparent;\n    color: var(--pst-color-link-hover);\n\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to update active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link-hover);\n  }\n\n  &:focus-visible {\n    box-shadow: $focus-ring-box-shadow;\n    outline: none;\n    z-index: 10; // keep focus ring on top (prevent the link-sidebar-current notch from lying on top of the ring)\n  }\n}\n\n// Sidebar current page link styles\n// --------------------------------\n// Adds a vertical line on the left hand side of the link to indicate that\n// it's the current page. Note this is distinct from an active state.\n// Used on the primary sidebar and the TOC.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-sidebar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n\n  @if $link-hover-decoration-thickness {\n    $notch-shadow: inset\n      $link-hover-decoration-thickness\n      0\n      0\n      var(--pst-color-primary);\n\n    box-shadow: $notch-shadow;\n\n    &:focus-visible {\n      box-shadow: $notch-shadow, $focus-ring-box-shadow;\n      outline: none;\n    }\n  }\n}\n\n// Header navbar text and icon links\n// ---------------------------------\n// (includes light/dark mode button)\n\n// This mixin makes it possible to show hover/underline and focus/ring styles at\n// the same time. The trick is to use:\n//    - a pseudo-element with bottom border for the hover underline\n//    - a CSS outline for the focus ring.\n\n// Normally we use box-shadow for underline and outline for focus ring. But we\n// cannot apply box-shadow and outline together on the same element because the\n// border-radius value that we use to round the outline will also round the\n// box-shadow used for the underline. We also cannot use text-underline because\n// it does not work on non-text links, nor do we want to use it on text links\n// that we want to treat as blocks, such as the header nav links because the\n// underline will wrap across two lines if the link text also wraps across two\n// lines.\n@mixin link-style-block {\n  color: var(--pst-color-text-muted);\n\n  // Set position relative so that the child ::before pseudo-element's absolute\n  // position is relative to this element.\n  position: relative;\n\n  // Set up pseudo-element used for hover underline styles\n  &::before {\n    content: \"\";\n    display: block;\n    position: absolute;\n    inset: 0;\n    background-color: transparent;\n\n    @if $link-hover-decoration-thickness {\n      bottom: calc(-1 * $link-hover-decoration-thickness);\n      margin: $link-hover-decoration-thickness 0;\n    }\n  }\n\n  &:hover {\n    color: var(--pst-color-secondary);\n    text-decoration: none; // override the link-style-hover mixin\n    &::before {\n      @if $link-hover-decoration-thickness {\n        border-bottom: $link-hover-decoration-thickness\n          solid\n          var(--pst-color-secondary);\n      }\n    }\n  }\n\n  &:focus-visible {\n    box-shadow: none; // override Bootstrap\n    outline: 3px solid var(--pst-color-accent);\n    outline-offset: $focus-ring-width;\n  }\n}\n","/***\n * Rules for the UX/UI of skip navigation link btn.\n * It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  padding: 0.5rem;\n  z-index: $zindex-modal;\n  border-bottom: 1px solid var(--pst-color-border);\n\n  // This shows / hides the button\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n\n  &:focus-within {\n    transform: translateY(0%);\n  }\n\n  a {\n    // Ensure we are using a WCAG conformant colour\n    color: var(--pst-color-warning-text) !important;\n\n    &:focus-visible {\n      // use color with sufficient contrast\n      outline-color: $foundation-black;\n    }\n  }\n}\n",".bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n\n  .bd-container__inner {\n    display: flex;\n  }\n}\n\n.bd-page-width {\n  width: 100%;\n\n  @include media-breakpoint-up(lg) {\n    max-width: $breakpoint-page-width;\n  }\n}\n",".pst-async-banner-revealer {\n  // Setting height to 0 and overflow to hidden allows us to add up the heights\n  // of this element's children before revealing them.\n  height: 0;\n  overflow: hidden;\n\n  // Height to be set by JavaScript, which should trigger the following\n  // transition rule (unless the user has set their system to reduce motion).\n  transition: height 300ms ease-in-out;\n\n  @media (prefers-reduced-motion) {\n    transition: none;\n  }\n}\n\n#bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%; // Horizontal padding so the width is 75%\n  // One breakpoint less than $breakpoint-sidebar-primary. See variables/_layout.scss for more info.\n  @include media-breakpoint-down(lg) {\n    // Announcements can take a bit more width on mobile\n    padding: 0.5rem 2%;\n  }\n\n  p {\n    font-weight: bold;\n    margin: 0;\n  }\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n\n  // The \"Switch to stable version\" link (styled like a button)\n  .pst-button-link-to-stable-version {\n    @include box-shadow;\n\n    $background-color: var(--pst-color-danger);\n    $hover-background-color: var(--pst-color-danger-highlight);\n    $color: var(--pst-color-danger-text);\n\n    background-color: $background-color;\n    border-color: $background-color;\n    color: $color;\n    border-radius: 0.25rem;\n\n    &:hover {\n      // applying the same style as the SD \"buttons\"\n      @include link-style-hover;\n\n      text-decoration-thickness: 1px;\n      background-color: $hover-background-color;\n      border-color: $hover-background-color;\n      color: var(--pst-color-danger-highlight-text);\n    }\n\n    &:focus-visible {\n      outline: $focus-ring-width solid $background-color;\n      outline-offset: $focus-ring-width;\n    }\n  }\n}\n\n// Bg color is now defined in the theme color palette - using our secondary color\n.bd-header-announcement {\n  background-color: var(--pst-color-secondary-bg);\n}\n\n#bd-header-version-warning {\n  background-color: var(--pst-color-danger-bg);\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n\n/**\n * A consistent box shadow style we apply across elements.\n */\n@mixin box-shadow() {\n  box-shadow:\n    0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\n@mixin cell-output-background {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n\n@mixin table-colors {\n  color: var(--pst-color-table);\n  border: 1px solid var(--pst-color-table-outer-border);\n\n  th,\n  td {\n    ~ th,\n    ~ td {\n      border-left: 1px solid var(--pst-color-table-inner-border);\n    }\n  }\n\n  thead {\n    tr {\n      background-color: var(--pst-color-table-heading-bg);\n      border-bottom: 2px solid var(--pst-color-primary);\n    }\n  }\n\n  tbody {\n    tr {\n      &:nth-child(odd) {\n        background-color: var(--pst-color-table-row-zebra-low-bg);\n      }\n\n      &:nth-child(even) {\n        background-color: var(--pst-color-table-row-zebra-high-bg);\n      }\n    }\n  }\n}\n\n// Minimum mouse hit area\n// ----------------------\n// Ensures that the element has a minimum hit area that conforms to\n// accessibility guidelines. For WCAG AA, we need 24px x 24px, see:\n// https://www.w3.org/WAI/WCAG22/Understanding/target-size-minimum.html\n@mixin min-hit-area() {\n  box-sizing: border-box;\n  min-width: 24px;\n  min-height: 24px;\n}\n\n// Meant to darken the element on hover in light mode, or\n// lighten on hover in dark mode.\n@mixin hover-darken-lighten {\n  &:hover {\n    filter: brightness(0.9);\n\n    html[data-theme=\"dark\"] & {\n      filter: brightness(1.1);\n    }\n  }\n}\n","/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n\n  .bd-content {\n    display: flex;\n    justify-content: center;\n    height: 100%;\n\n    .bd-article-container {\n      justify-content: start;\n      display: flex;\n      flex-direction: column;\n\n      // Max-width is slightly more than the W3 since our docs often have images.\n      // We shoot for about 100 characters per line instead of 80.\n      // ref: https://www.w3.org/WAI/tutorials/page-structure/styling/#line-length\n      width: 100%;\n      max-width: 60em;\n      overflow-x: auto; // Prevent wide content from pushing off the secondary sidebar\n      padding: 1rem;\n\n      .bd-article {\n        // Give a bit more verticle spacing on wide screens\n        @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n          padding-top: 1.5rem;\n          padding-left: 2rem;\n        }\n      }\n    }\n  }\n}\n",".bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n\n  .bd-footer__inner {\n    display: flex;\n    flex-grow: 1;\n    padding: 1rem;\n    margin: auto;\n  }\n\n  .footer-items__start,\n  .footer-items__center,\n  .footer-items__end {\n    display: flex;\n    flex-direction: column;\n    gap: 0.5rem;\n    justify-content: center;\n    flex-grow: 1;\n  }\n\n  .footer-items__center {\n    text-align: center;\n  }\n\n  .footer-items__end {\n    text-align: end;\n  }\n\n  // So that paragraphs don't take up extra room\n  .footer-item p {\n    margin-bottom: 0;\n  }\n}\n",".bd-footer-article {\n  margin-top: auto;\n\n  .footer-article-items {\n    display: flex;\n    flex-direction: column;\n  }\n}\n",".bd-footer-content {\n  .footer-content-items {\n    display: flex;\n    flex-direction: column;\n    margin-top: auto;\n  }\n}\n","/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n\n// Styling for the Icon links can be found in components/_icon-links.scss\n\n// If we want the shadow to only point downward in the future, set\n// box-shadow to: 0 0.125rem 0.25rem -0.125rem rgba(0, 0, 0, 0.11);\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: $zindex-fixed;\n\n  // Overrides bootstrap\n  background-color: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n\n  .bd-header__inner {\n    display: flex;\n    align-items: center;\n    height: fit-content;\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n\n  :focus-visible {\n    border-radius: $focus-ring-radius;\n  }\n\n  // These items will define the height of the header\n  .navbar-item {\n    height: var(--pst-header-height);\n    max-height: var(--pst-header-height);\n    display: flex;\n    align-items: center;\n  }\n\n  // Hide the navbar header items on mobile because they're in the sidebar\n  .navbar-header-items {\n    display: none;\n    flex-shrink: 1;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: inherit;\n      flex-grow: 1;\n      padding: 0 0 0 0.5rem;\n    }\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center,\n  .navbar-header-items__start {\n    display: flex;\n    align-items: center;\n    flex-flow: wrap;\n\n    // In case we wrap our items to multiple rows on small screens\n    row-gap: 0;\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center {\n    column-gap: $nav-icon-column-gap;\n  }\n\n  // A little smaller because this is displayed by default on mobile\n  .navbar-header-items__start {\n    flex-shrink: 0;\n    margin-right: auto;\n    gap: 0.5rem;\n  }\n\n  .navbar-header-items__end {\n    // End navbar items should snap to the right\n    justify-content: end;\n  }\n\n  // Contains the navigation links within the navbar\n  ul.navbar-nav {\n    display: flex;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      // Align on wide screens so the dropdown button is centered properly\n      align-items: baseline;\n    }\n\n    > li.nav-item {\n      margin-inline: 2px; // breathing room so hover and focus styles do not overlap\n\n      > .nav-link {\n        @include link-style-block;\n\n        padding-inline: 6px;\n      }\n\n      &.current {\n        > .nav-link {\n          color: var(--pst-color-primary);\n\n          // Underline the current navbar item\n          &::before {\n            border-bottom: 3px solid var(--pst-color-primary);\n          }\n        }\n      }\n\n      &.dropdown {\n        margin-inline: 4px;\n\n        button {\n          padding-inline: 8px;\n        }\n\n        > .dropdown-toggle {\n          border-radius: $focus-ring-radius; // make border radius the same for both hover ring and focus ring\n          color: var(--pst-color-text-muted);\n\n          &:focus-visible {\n            box-shadow: $focus-ring-box-shadow;\n          }\n\n          &:hover {\n            text-decoration: none;\n            box-shadow: 0 0 0 $focus-ring-width var(--pst-color-link-hover); // purple focus ring\n            // Brighten the text on hover (muted -> base)\n            color: var(--pst-color-text-base);\n          }\n        }\n      }\n    }\n\n    li a.nav-link.dropdown-item {\n      @include link-style-text;\n    }\n\n    // Dropdowns for the extra links\n    .dropdown {\n      button {\n        display: unset;\n        border: none;\n\n        &:hover {\n          @include link-style-hover;\n        }\n      }\n\n      .dropdown-menu {\n        z-index: $zindex-popover;\n        border: 1px solid var(--pst-color-border);\n        box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n        background-color: var(--pst-color-on-background);\n        padding: 0.5rem 0;\n        margin: 0.5rem 0;\n        min-width: 20rem;\n\n        .dropdown-item {\n          // Give the items in the dropdown some breathing room but let the hit\n          // and hover area of the items extend to the edges of the menu\n          padding: 0.25rem 1.5rem;\n\n          // Override Bootstrap\n          &:focus:not(:hover, :active) {\n            background-color: inherit;\n          }\n\n          &:focus-visible {\n            z-index: 10; // keep focus ring on top (prevent the hover background of the next dropdown item from covering the ring)\n          }\n        }\n\n        // Hide the menu unless show has been clicked\n        &:not(.show) {\n          display: none;\n        }\n      }\n    }\n  }\n\n  // **************************************************************\n  // Showing and hiding the sidebar toggle buttons and header items\n  // **************************************************************\n\n  // Toggle buttons\n  button.sidebar-toggle {\n    font-size: var(--pst-font-size-icon);\n    color: var(--pst-color-muted);\n    margin-bottom: 0;\n    background-color: inherit;\n    padding: 0.5rem;\n  }\n\n  button.primary-toggle {\n    margin-right: 1rem;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  button.secondary-toggle {\n    margin-left: 1rem;\n\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      display: none;\n    }\n  }\n}\n\n// inline the element in the navbar as long as they fit and use display block when collapsing\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n\n.nav-link {\n  &:hover {\n    @include link-style-hover;\n  }\n\n  // Override Bootstrap\n  transition: none;\n\n  &.nav-external::after {\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-external-link);\n    font-size: 0.75em;\n    margin-left: 0.3em;\n  }\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n// THe elements next to the hamburger menu only show on narrow screens\n.navbar-persistent--mobile {\n  margin-left: auto;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: none;\n  }\n}\n\n// The navbar-persistent content should only show on wide screens\n.navbar-persistent--container {\n  display: none;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: flex;\n  }\n}\n",".header-article__inner {\n  padding: 0 0.5rem;\n\n  // The items define the height so that it disappears if there are no items\n  .header-article-item {\n    min-height: var(--pst-header-article-height);\n  }\n\n  .header-article-items__end {\n    margin-left: auto;\n  }\n}\n","/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n\n$sidebar-padding-right: 1rem;\n\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n\n  @include make-col(3);\n\n  // Borders padding and whitespace\n  padding: 2rem $sidebar-padding-right 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n  font-size: var(--pst-sidebar-font-size-mobile);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  :focus-visible {\n    border-radius: $focus-ring-radius;\n  }\n\n  // override bootstrap when navlink are displayed in the sidebar\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n  }\n\n  &.no-sidebar {\n    border-right: 0;\n  }\n\n  &.hide-on-wide {\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  // Headers shouldn't be colored in the sidebars and some extensions add headers\n  h1,\n  h2,\n  h3,\n  h4 {\n    color: var(--pst-color-text-base);\n  }\n\n  .sidebar-primary-items__start,\n  .sidebar-primary-items__end {\n    .sidebar-primary-item {\n      padding: 0.5rem 0;\n    }\n  }\n\n  // Hide the sidebar header items on widescreen since they are visible in the header\n  .sidebar-header-items {\n    display: flex;\n    flex-direction: column;\n\n    .sidebar-header-items__title {\n      font-weight: var(--pst-sidebar-header-font-weight);\n      font-size: var(--pst-sidebar-header-font-size);\n      color: var(--pst-color-text-base);\n      margin-bottom: 0.5rem;\n    }\n\n    .bd-navbar-elements {\n      .nav-link {\n        &:focus-visible {\n          box-shadow: none; // Override Bootstrap\n          outline: $focus-ring-outline;\n          outline-offset: $focus-ring-width;\n        }\n      }\n    }\n\n    // Center header items get displayed vertically, end items are displayed horizontally\n    .sidebar-header-items__center {\n      display: flex;\n      flex-direction: column;\n    }\n\n    // Positioning end items\n    .sidebar-header-items__end {\n      display: flex;\n      align-items: center;\n      gap: 1rem;\n    }\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  .sidebar-primary-items__start {\n    // Add a border on mobile to separate it from the header sidebar area\n    border-top: 1px solid var(--pst-color-border);\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      border-top: none;\n    }\n  }\n\n  .sidebar-primary-items__end {\n    margin-top: auto;\n    margin-bottom: 1em;\n  }\n\n  .list-caption {\n    list-style: none;\n    padding-left: 0;\n\n    // Level 0 TOC heading is put inside the <summary> tag\n    // so let the <summary> tag take up more space\n    li.toctree-l0.has-children {\n      > details {\n        > summary {\n          position: relative;\n          height: auto;\n          width: auto;\n          display: flex;\n          justify-content: space-between;\n          align-items: baseline;\n\n          .toctree-toggle {\n            // Prevent toggle icon from getting squished by summary being a\n            // flexbox\n            flex: 0 0 auto;\n\n            // Make the level 0 chevron icon slightly bigger than descendant\n            // levels\n            .fa-chevron-down {\n              font-size: 1rem;\n            }\n          }\n        }\n      }\n    }\n  }\n\n  li.has-children {\n    $toctree-toggle-width: 30px;\n\n    position: relative;\n\n    > .reference,\n    .caption {\n      margin-right: calc(\n        $toctree-toggle-width + $focus-ring-width\n      ); // keep clear of the toggle icon\n\n      padding-top: 0.25rem; // align caption text with toggle chevron\n    }\n\n    > details {\n      > summary {\n        // Remove browser default toggle icon\n        list-style: none;\n\n        &::-webkit-details-marker {\n          display: none;\n        }\n\n        // The summary element is natively focusable, but delegate the focus state to the toggle icon\n        &:focus-visible {\n          outline: none;\n\n          > .toctree-toggle {\n            outline: $focus-ring-outline;\n            outline-offset: -$focus-ring-width; // Prevent right side of focus ring from disappearing underneath the sidebar's right edge\n          }\n        }\n\n        // Container for expand/collapse chevron icon\n        .toctree-toggle {\n          cursor: pointer;\n\n          // Position it so that it's aligned with the top right corner of the\n          // last positioned element, in this case the li.has-children\n          position: absolute;\n          top: 0;\n          right: 0;\n\n          // Give it dimensions\n          width: $toctree-toggle-width;\n          height: $toctree-toggle-width; // make it square\n\n          // Vertically and horizontally center the icon within the container\n          display: inline-flex;\n          justify-content: center;\n          align-items: center;\n\n          .fa-chevron-down {\n            font-size: 0.75rem;\n          }\n        }\n      }\n\n      // The section is open/expanded, rotate the toggle icon (chevron) so it\n      // points up instead of down\n      &[open] {\n        > summary {\n          .fa-chevron-down {\n            transform: rotate(180deg);\n          }\n        }\n      }\n    }\n  }\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -$sidebar-padding-right; // align toctree toggle chevrons with right edge of sidebar and allow text to flow closer to the right edge\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: block;\n  }\n\n  ul {\n    display: block;\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  li > a {\n    display: block;\n    padding: $toc-item-padding-y 0.65rem;\n\n    @include link-sidebar;\n\n    box-shadow: none;\n    margin-right: $focus-ring-width; // prevent the right side focus ring from disappearing under the sidebar right edge\n\n    &.reference.external {\n      &::after {\n        font: var(--fa-font-solid);\n        content: var(--pst-icon-external-link);\n        font-size: 0.75em;\n        margin-left: 0.3em;\n      }\n    }\n  }\n\n  .current > a {\n    @include link-sidebar-current;\n\n    background-color: transparent;\n  }\n\n  // Title\n  p.bd-links__title {\n    font-size: var(--pst-sidebar-header-font-size);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n\n  // Toctree captions\n  p.caption {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    position: relative;\n    margin-top: 1.25rem;\n    margin-bottom: 0.5rem;\n    color: var(--pst-color-text-base);\n\n    &:first-child {\n      margin-top: 0;\n    }\n\n    font-size: var(--pst-sidebar-font-size-mobile);\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n}\n","/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // Color and border\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem;\n\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n\n  i {\n    padding-right: 0.5rem;\n  }\n}\n","/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n\n/**\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n@mixin sliding-drawer($side: \"left\") {\n  position: fixed;\n  top: 0;\n  z-index: $zindex-modal;\n  height: 100vh;\n  max-height: 100vh;\n  width: 75%;\n  flex-grow: 0.75;\n  max-width: 350px;\n  transition:\n    visibility $animation-time ease-out,\n    margin $animation-time ease-out;\n  visibility: hidden;\n  border: 0;\n\n  @if $side == \"right\" {\n    margin-right: -75%;\n    right: 0;\n  } @else {\n    margin-left: -75%;\n    left: 0;\n  }\n}\n\n.bd-sidebar::backdrop {\n  background-color: black;\n  opacity: 0.5;\n}\n\n.bd-sidebar-primary {\n  @include media-breakpoint-down($breakpoint-sidebar-primary) {\n    @include sliding-drawer(\"left\");\n  }\n\n  &[open] {\n    margin-left: 0;\n    visibility: visible;\n  }\n}\n\n.bd-sidebar-secondary {\n  @include media-breakpoint-down($breakpoint-sidebar-secondary) {\n    @include sliding-drawer(\"right\");\n  }\n\n  &[open] {\n    margin-right: 0;\n    visibility: visible;\n  }\n}\n","/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n\n  // Font size slightly smaller to avoid cluttering up space too much\n  font-size: 0.8rem;\n\n  li.breadcrumb-item {\n    display: flex;\n    align-items: center;\n    white-space: nowrap;\n    overflow-x: hidden;\n\n    a,\n    .ellipsis {\n      overflow-x: hidden;\n      text-overflow: ellipsis;\n\n      // Need to add margin, otherwise the overflow: hidden rule on the parent\n      // will hide the focus ring\n      margin: $focus-ring-width;\n    }\n\n    // Style should look like heavier in-page links\n    // keeping visited in the default link colour\n    font-weight: bold;\n\n    a {\n      @include link-style-text;\n    }\n\n    // Items that aren't the home have a caret to the left\n    &:not(.breadcrumb-home)::before {\n      font: var(--fa-font-solid);\n      font-size: 0.8rem;\n      content: var(--pst-breadcrumb-divider);\n      color: var(--pst-color-text-muted);\n      padding: 0 0.5rem;\n    }\n  }\n}\n","/**\n * Icon links in the navbar\n */\n\n.pst-navbar-icon {\n  // Extra specificity needed for overrides\n  html & {\n    @include min-hit-area;\n    @include link-style-block;\n\n    display: flex;\n    align-items: center;\n    justify-content: center;\n\n    // Bootstrap overrides\n    border-radius: 0;\n    border: none;\n    font-size: 1rem;\n    line-height: $line-height-body; // Override Boostrap, which defines a separate line-height for buttons\n    padding: $navbar-link-padding-y 0; // Horizontal white space in nav bar between items is controlled via column gap rule on the container.\n\n    // Make the navbar icon links have the same size as the navbar text links\n    height: calc(2 * $navbar-link-padding-y + $line-height-body * 1rem);\n  }\n}\n\nul.navbar-icon-links {\n  display: flex;\n  flex-flow: row wrap;\n  column-gap: $nav-icon-column-gap;\n  justify-content: space-evenly;\n  align-items: center;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n\n  // Icons styling\n  i {\n    &.fa-brands,\n    &.fa-regular,\n    &.fa-solid {\n      vertical-align: middle;\n      font-style: normal;\n      font-size: var(--pst-font-size-icon);\n    }\n\n    /* Social media buttons hard-code the brand color */\n    &.fa-square-twitter::before {\n      color: #55acee;\n    }\n\n    &.fa-square-gitlab::before {\n      color: #548;\n    }\n\n    &.fa-bitbucket::before {\n      color: #0052cc;\n    }\n  }\n\n  // Force images to be icon-sized\n  img.icon-link-image {\n    height: 1.5em;\n    border-radius: 0.2rem;\n  }\n\n  .fa-pydata {\n    stroke: var(--pst-color-background);\n    stroke-linejoin: round;\n    stroke-width: 0.35;\n  }\n}\n","/**\n * Logo in the navbar\n */\n\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n\n  // Ensure that the logo stays the same length while other content shrinks\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n\n  // If there's no logo image, we use a p element w/ the site title\n  p {\n    color: var(--pst-color-text-base);\n    margin-bottom: 0;\n  }\n\n  // If there's a logo, it'll be in an img block\n  img {\n    max-width: 100%;\n    height: 100%;\n    width: auto;\n  }\n\n  &:hover,\n  &:visited:hover {\n    @include link-style-hover;\n\n    color: var(--pst-color-text-base);\n  }\n}\n","/**\n * Navigation links in the navbar and icon links\n */\nul.navbar-nav {\n  // Reduce padding of nested `ul` items a bit\n  ul {\n    padding: 0 0 0 1rem;\n  }\n\n  // Navbar links - do not have an underline by default\n  li {\n    display: flex;\n    flex-direction: column;\n\n    a {\n      display: flex;\n      align-items: center;\n      height: 100%;\n      padding-top: $navbar-link-padding-y;\n      padding-bottom: $navbar-link-padding-y;\n\n      @include link-style-text;\n    }\n  }\n}\n","/**\n * The list of in-page TOC links\n */\n.page-toc {\n  .section-nav {\n    padding-left: 0;\n    border-bottom: none;\n\n    ul {\n      padding-left: 1rem;\n    }\n  }\n\n  // override bootstrap settings\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n\n  .onthispage {\n    color: var(--pst-color-text-base);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n}\n","/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n\n  p {\n    color: var(--pst-color-text-muted);\n    margin: 0 0.3em;\n    line-height: 1.3em;\n  }\n\n  i {\n    font-size: 1.2em;\n  }\n\n  a {\n    // So that buttons align with icons\n    display: flex;\n    align-items: center;\n    border: none;\n    padding: 10px;\n    max-width: 45%;\n    overflow-x: hidden;\n    color: var(--pst-color-text-muted);\n    text-decoration: none;\n\n    p.prev-next-title {\n      @include link-style-default;\n\n      font-weight: var(--pst-admonition-font-weight-heading);\n      font-size: 1.1em;\n    }\n\n    &:hover,\n    &:visited:hover {\n      p.prev-next-title {\n        @include link-style-hover;\n      }\n    }\n\n    .prev-next-info {\n      flex-direction: column;\n      margin: 0 0.5em;\n\n      .prev-next-subtitle {\n        text-transform: capitalize;\n      }\n    }\n\n    &.left-prev {\n      float: left;\n    }\n\n    &.right-next {\n      float: right;\n\n      div.prev-next-info {\n        text-align: right;\n      }\n    }\n  }\n}\n","/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: $admonition-border-radius;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Background should always be same color regardless of active or not\n  &:active {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n\n  // Hoist the focus ring from the input field to its parent\n  &:focus-within {\n    box-shadow: $focus-ring-box-shadow;\n\n    input:focus {\n      box-shadow: none;\n    }\n  }\n\n  .icon {\n    position: absolute;\n    color: var(--pst-color-border);\n    left: 25px;\n  }\n\n  .fa-solid.fa-magnifying-glass {\n    position: absolute;\n    left: calc((2.5rem - 0.7em) / 2);\n    color: var(--pst-color-text-muted);\n  }\n\n  input.form-control {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-base);\n    border: none;\n\n    // Inner-text of the search bar\n    &::placeholder {\n      color: var(--pst-color-text-muted);\n    }\n\n    // Remove the little \"x\" that pops up when you start typing\n    &::-webkit-search-cancel-button,\n    &::-webkit-search-decoration {\n      appearance: none;\n    }\n\n    &:focus,\n    &:focus-visible {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  // Shows off the keyboard shortcuts for the button\n  .search-button__kbd-shortcut {\n    display: none;\n    margin-inline-end: 0.5rem;\n    color: var(--pst-color-border);\n\n    @include media-breakpoint-up(md) {\n      display: flex;\n    }\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n.search-button i {\n  // Search link icon should be a bit bigger since it is separate from icon links\n  font-size: 1.3rem;\n}\n\n/**\n * The search modal <dialog>\n */\n#pst-search-dialog {\n  display: none;\n\n  &[open] {\n    display: flex;\n\n    // Center in middle of screen just underneath header\n    position: fixed;\n    z-index: $zindex-modal;\n    top: 30%;\n    left: 50%;\n    transform: translate(-50%, -50%);\n    right: 1rem;\n    margin-top: 0.5rem;\n    width: 90%;\n    max-width: 800px;\n    background-color: transparent;\n    padding: $focus-ring-width;\n    border: none;\n\n    &::backdrop {\n      background-color: black;\n      opacity: 0.5;\n    }\n\n    form.bd-search {\n      flex-grow: 1;\n\n      // Font and input text a bit bigger\n      svg,\n      input {\n        font-size: var(--pst-font-size-icon);\n      }\n    }\n  }\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  $search-button-border-radius: 1.5em;\n\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: $search-button-border-radius;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    box-shadow: 0 0 0 $focus-ring-width var(--pst-color-link-hover);\n  }\n\n  &:focus-visible {\n    border-radius: $search-button-border-radius;\n  }\n\n  // The keyboard shortcut text\n  .search-button__default-text {\n    font-size: var(--bs-nav-link-font-size);\n    font-weight: var(--bs-nav-link-font-weight);\n    margin-right: 0.5em;\n    margin-left: 0.5em;\n  }\n\n  .kbd-shortcut__modifier {\n    font-size: 0.75em;\n  }\n\n  // Ensures that all the text lines up in the middle\n  > * {\n    align-items: center;\n  }\n\n  // Only the icon should be visible on narrow screens\n  > :not(svg) {\n    display: none;\n\n    @include media-breakpoint-up(lg) {\n      display: flex;\n    }\n  }\n}\n","/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox {\n  // Leave `#searchbox` rules empty so that it doesn't show at all when it is empty\n  p.highlight-link {\n    margin: 1rem 0;\n    width: fit-content;\n\n    // A bit more margin on wide screens to mimic article behavior\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      margin-left: 2rem;\n    }\n\n    // Put outer shadow on this one so that we can darken the link w/ an inner shadow\n    @include box-shadow;\n\n    // Style the button to look like a Sphinx Design button\n    a {\n      border-radius: 0.25rem;\n      font-size: 1.25rem;\n      padding: 0.75rem;\n      background-color: var(--pst-color-primary);\n      color: var(--pst-color-primary-text);\n      text-decoration: none;\n\n      // The box shadow is inset so that it darkens the button on hover\n      transition: box-shadow 0.25s ease-out;\n\n      &:hover {\n        box-shadow: inset 0 0 50px 50px rgb(0 0 0 / 25%);\n      }\n\n      &::before {\n        content: var(--pst-icon-search-minus);\n        color: unset;\n        font: var(--fa-font-solid);\n        margin-right: 0.5rem;\n      }\n    }\n  }\n}\n","/**\n * Light/dark theme switcher\n */\n\n.theme-switch-button {\n  .theme-switch {\n    display: none;\n\n    &:active {\n      text-decoration: none;\n      color: var(--pst-color-link-hover);\n    }\n\n    .fa-lg {\n      aspect-ratio: 1 / 1;\n    }\n  }\n}\n\n@each $mode in auto, light, dark {\n  html[data-mode=\"#{$mode}\"]\n    .theme-switch-button\n    .theme-switch[data-mode=\"#{$mode}\"] {\n    display: inline; // inline needed for span height to be calculated using inherited font size and line height\n  }\n}\n","button.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Add a margin on narrow screens to avoid feeling cramped\n  margin-bottom: 1em;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    margin-bottom: unset;\n  }\n\n  &:hover {\n    box-shadow: 0 0 0 $focus-ring-width var(--pst-color-secondary);\n    border-color: transparent;\n  }\n\n  &:active {\n    color: var(--pst-color-text-base);\n    border-color: var(--pst-color-border);\n  }\n\n  &:focus-visible {\n    border-color: transparent;\n  }\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n\n  a.list-group-item {\n    background-color: var(--pst-color-on-background);\n    color: var(--pst-color-text-base);\n    padding: 0.75rem 1.25rem;\n\n    &:not(:last-child) {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n\n    &:hover {\n      @include link-style-hover;\n\n      background-color: var(--pst-color-surface);\n    }\n\n    &.active {\n      @include link-sidebar-current;\n\n      position: relative;\n      z-index: 1;\n\n      span::before {\n        content: \"\";\n        width: 100%;\n        height: 100%;\n        position: absolute;\n        z-index: -1;\n        left: 0;\n        top: 0;\n      }\n    }\n\n    &:focus-visible {\n      z-index: 10; // keep focus ring on top (prevent the hover background of the next dropdown item from covering the ring)\n    }\n  }\n}\n\n// Font behavior on mobile\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em; // A bit smaller than other menu font\n  z-index: $zindex-modal; // higher than the sidebars\n\n  // Make sure it meets WCAG target size requirement no matter the version\n  // string displayed in the button\n  @include min-hit-area;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: unset;\n  }\n}\n","/* Collapsing of the TOC sidebar while scrolling */\n\n/* Nav: hide second level (shown on .active) */\n\nnav.page-toc {\n  // A little extra space before the buttons\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav {\n  .nav {\n    display: none;\n\n    // So we can manually specify a level as visible in the config\n    &.visible {\n      display: block;\n    }\n  }\n\n  > .active > ul {\n    display: block;\n  }\n}\n\n// Each entry of the in-page TOC\n.toc-entry {\n  display: block;\n\n  a > code {\n    color: var(--pst-color-text-muted);\n  }\n\n  a.nav-link {\n    display: block;\n    padding: $toc-item-padding-y 0;\n\n    // Padding w/ negative margin so the top TOC item highlight overlaps w/ the TOC border\n    padding-left: 1rem;\n    margin-left: -1rem;\n\n    @include link-sidebar;\n\n    &.active {\n      @include link-sidebar-current;\n\n      background-color: transparent;\n\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n\n    &:focus-visible {\n      border-radius: $focus-ring-radius;\n    }\n  }\n}\n","div.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem;\n  overflow: hidden;\n\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n\n  @include box-shadow;\n\n  position: relative;\n\n  > p {\n    margin-bottom: 0.6rem;\n    margin-top: 0.6rem;\n  }\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n\n  &::before {\n    margin-right: 0.6rem;\n    color: var(--pst-color-info);\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-versionmodified-default);\n  }\n}\n\nspan.versionmodified.added {\n  &::before {\n    color: var(--pst-color-success);\n    content: var(--pst-icon-versionmodified-added);\n  }\n}\n\nspan.versionmodified.changed {\n  &::before {\n    color: var(--pst-color-warning);\n    content: var(--pst-icon-versionmodified-changed);\n  }\n}\n\nspan.versionmodified.deprecated {\n  &::before {\n    color: var(--pst-color-danger);\n    content: var(--pst-icon-versionmodified-deprecated);\n  }\n}\n",".sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    border-top: none;\n  }\n\n  .sidebar-indices-items__title {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    font-size: var(--pst-sidebar-header-font-size);\n    color: var(--pst-color-text-base);\n    margin-bottom: 0.5rem;\n  }\n\n  ul.indices-link {\n    margin-right: -1rem;\n    list-style: none;\n    padding: 0;\n\n    li > a {\n      display: block;\n      padding: 0.25rem 0;\n      color: var(--pst-color-text-muted);\n\n      &:hover {\n        color: var(--pst-color-primary);\n        text-decoration: none;\n        background-color: transparent;\n      }\n    }\n  }\n}\n","/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\n$admonition-border-radius: 0.25rem;\n$admonition-left-border-width: 0.2rem;\n\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem;\n  overflow: hidden;\n\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: $admonition-left-border-width solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n\n  @include box-shadow;\n\n  // Last item should have no spacing since we'll control that w/ padding\n  *:last-child {\n    margin-bottom: 0;\n  }\n\n  // Items after the title should be indented\n  p.admonition-title ~ * {\n    margin-left: 1.4rem;\n    margin-right: 1.4rem;\n  }\n\n  // Lists need to have left margin so they don't spill into it\n  > ol,\n  > ul {\n    margin-left: 1em;\n  }\n\n  // Defaults for all admonitions\n  > .admonition-title {\n    margin: 0 -0.6rem;\n    padding: 0.4rem 0.6rem 0.4rem 2rem;\n    font-weight: var(--pst-admonition-font-weight-heading);\n    position: relative;\n\n    @include legacy-backdrop-placeholder;\n\n    background-color: var(--pst-color-info-bg);\n\n    // now that we use solid colors we want the title on top\n    z-index: 1;\n\n    &::after {\n      position: absolute;\n      left: 0.5rem;\n      width: 1rem;\n      height: 1rem;\n      color: var(--pst-color-info);\n      font: var(--fa-font-solid);\n      line-height: inherit;\n      content: var(--pst-icon-admonition-default);\n      opacity: 1;\n    }\n\n    // Next element after title needs some extra upper-space\n    + * {\n      margin-top: 0.4em;\n    }\n  }\n\n  &.attention {\n    border-color: var(--pst-color-attention);\n\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &::after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-attention);\n      }\n    }\n  }\n\n  &.caution {\n    border-color: var(--pst-color-warning);\n\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &::after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-caution);\n      }\n    }\n  }\n\n  &.warning {\n    border-color: var(--pst-color-warning);\n\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &::after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-warning);\n      }\n    }\n  }\n\n  &.danger {\n    border-color: var(--pst-color-danger);\n\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &::after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-danger);\n      }\n    }\n  }\n\n  &.error {\n    border-color: var(--pst-color-danger);\n\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &::after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-error);\n      }\n    }\n  }\n\n  &.hint {\n    border-color: var(--pst-color-success);\n\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &::after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-hint);\n      }\n    }\n  }\n\n  &.tip {\n    border-color: var(--pst-color-success);\n\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &::after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-tip);\n      }\n    }\n  }\n\n  &.important {\n    border-color: var(--pst-color-attention);\n\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &::after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-important);\n      }\n    }\n  }\n\n  &.note {\n    border-color: var(--pst-color-info);\n\n    > .admonition-title {\n      background-color: var(--pst-color-info-bg);\n\n      &::after {\n        color: var(--pst-color-info);\n        content: var(--pst-icon-admonition-note);\n      }\n    }\n  }\n\n  &.seealso {\n    border-color: var(--pst-color-success);\n\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &::after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-seealso);\n      }\n    }\n  }\n\n  &.admonition-todo {\n    border-color: var(--pst-color-secondary);\n\n    > .admonition-title {\n      background-color: var(--pst-color-secondary-bg);\n\n      &::after {\n        color: var(--pst-color-secondary);\n        content: var(--pst-icon-admonition-todo);\n      }\n    }\n  }\n\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n  &.sidebar {\n    max-width: 40%;\n    float: right;\n    clear: both;\n    margin-left: 0.5rem;\n    margin-top: 0;\n\n    // Undo the .sidebar directive border\n    border-width: 0 0 0 $admonition-left-border-width;\n\n    // TODO: these semantic-color-names border-color rules might no longer be\n    //       needed when we drop support for Sphinx 4 / docutils 0.17\n    &.attention,\n    &.important {\n      border-color: var(--pst-color-attention);\n    }\n\n    &.caution,\n    &.warning {\n      border-color: var(--pst-color-warning);\n    }\n\n    &.danger,\n    &.error {\n      border-color: var(--pst-color-danger);\n    }\n\n    &.hint,\n    &.tip,\n    &.seealso {\n      border-color: var(--pst-color-success);\n    }\n\n    &.note,\n    &.todo {\n      border-color: var(--pst-color-info);\n    }\n\n    // No inner margin since we have less horizontal space w/ the sidebar\n    p.admonition-title ~ * {\n      margin-left: 0;\n      margin-right: 0;\n    }\n  }\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n\n/**\n * Topics and the {contents} directive\n */\n// Docutils <= 0.17\ndiv.topic,\ndiv.topic.contents,\n// Docutils >= 0.18\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  padding: 1rem 1.25rem;\n\n  @include box-shadow;\n\n  .topic-title {\n    margin: 0 0 0.5rem;\n  }\n\n  // Over-ride text color to ensure enough contrast\n  p {\n    color: var(--pst-color-on-surface) !important;\n  }\n\n  // Over-ride large default padding\n  ul.simple {\n    padding-left: 1rem;\n\n    ul {\n      // So that sub-lists will have a bit less padding\n      padding-left: 2em;\n    }\n  }\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: $admonition-border-radius;\n\n  // to match the admonition-styled sidebars:\n  margin-left: 0.5rem;\n  padding: 0;\n\n  > *:last-child {\n    padding-bottom: 1rem;\n  }\n\n  p.sidebar-title {\n    position: relative;\n    margin-bottom: 0;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n    border-bottom: 1px solid var(--pst-color-border);\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-admonition-font-weight-heading);\n  }\n\n  // Add margin to the first non-`.sidebar-title` item\n  > *:not(.sidebar-title):first-child,\n  > p.sidebar-title + * {\n    margin-top: 1rem;\n  }\n\n  > * {\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n","/**\n * Miscellaneous color functions and mixins\n**/\n\n@use \"sass:list\";\n@use \"sass:map\";\n@use \"sass:meta\";\n@use \"sass:math\";\n@use \"sass:string\";\n\n// We must add ::before pseudo-element to some theme components (such as admonitions)\n// because users were instructed to customize the background color this way.\n@mixin legacy-backdrop-placeholder {\n  &::before {\n    content: \"\";\n    width: 100%;\n    height: 100%;\n    position: absolute;\n    left: 0;\n    top: 0;\n    z-index: -1;\n\n    // So that hovering over the text within background is still possible.\n    // Otherwise the background overlays the text and you cannot click or select easily.\n    // ref: https://developer.mozilla.org/en-US/docs/Web/CSS/pointer-events\n    pointer-events: none;\n  }\n}\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetc\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map.get($map, $key);\n  }\n\n  @return $map;\n}\n\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n// @param {String/Color} $color - Color definition from map\n// @return {Color} - Color type (in hex)\n@function check-color($color) {\n  @if meta.type-of($color) == string {\n    $color: from-hex($color);\n  }\n\n  @return $color;\n}\n\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n// @param {String} $string - String representation of a color\n@function from-hex($string) {\n  $string-lower: string.to-lower-case($string);\n  $r: \"\";\n  $g: \"\";\n  $b: \"\";\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $length: string.length($string);\n  $max: if($length == 4, 1, 2);\n\n  // Check for length accuracy\n  @if $length != 4 and $length != 7 {\n    @return $string;\n  }\n\n  // Loop from the second character (omitting #)\n  @for $i from 2 through $length {\n    $c: string.slice($string-lower, $i, $i);\n\n    // If wrong character, return\n    @if not list.index($hex, $c) {\n      @return $string;\n    }\n\n    @if string.length($r) < $max {\n      $r: $r + $c;\n    } @else if string.length($g) < $max {\n      $g: $g + $c;\n    } @else if string.length($b) < $max {\n      $b: $b + $c;\n    }\n  }\n\n  @if $length == 4 {\n    $r: $r + $r;\n    $g: $g + $g;\n    $b: $b + $b;\n  }\n\n  @return rgb(hex-to-dec($r), hex-to-dec($g), hex-to-dec($b));\n}\n\n@function hex-to-dec($string) {\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $string: string.to-lower-case($string);\n  $length: string.length($string);\n  $dec: 0;\n\n  @for $i from 1 through $length {\n    $factor: 1 + (15 * ($length - $i));\n    $index: list.index($hex, string.slice($string, $i, $i));\n    $dec: $dec + $factor * ($index - 1);\n  }\n\n  @return $dec;\n}\n","// Style API docs from sphinx' autodoc / autosummary\n\n/*******************************************************************************\n* Styling for field lists\n*/\n\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n\n  th.field-name {\n    padding: 1px 8px 1px 5px;\n    white-space: nowrap;\n    background-color: var(--pst-color-surface);\n  }\n\n  /* italic font for parameter types */\n  td.field-body {\n    p {\n      font-style: italic;\n\n      > strong {\n        font-style: normal;\n      }\n    }\n\n    /* reduced space around parameter description */\n    blockquote {\n      border-left: none;\n      margin: 0 0 0.3em;\n      padding-left: 30px;\n    }\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n\n.table.autosummary {\n  // The first column (with the signature) should not wrap\n  td:first-child {\n    white-space: nowrap;\n  }\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors */\n\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n// addition\n\n// .sig.c .sig-name .n,\n// .sig.cpp .sig-name .n {\n//   color: var(--pst-color-inline-code);\n// }\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\n// change target color for dark theme\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\ndl > dt > a:has(.viewcode-link) {\n  // Sphinx applies a `float:right` rule to the .viewcode-line span, which\n  // exposes a browser glitch in the focus ring. It seems the browser creates\n  // two separate boxes, an empty box where the anchor element gets laid out and\n  // then another box around the anchor's contents that have been floated right.\n  // Firefox draws the focus ring around the empty anchor element box. Chrome\n  // draws two focus rings: one around the empty anchor and one around the\n  // floated-right element. To fix the glitch, we apply the float rule on the\n  // parent rather than the child.\n  float: right;\n\n  .viewcode-link {\n    float: none;\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\n\n// the API selector\n// from https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/content/_api.sass#L6)\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) {\n  // increase margin bottom after the dl elements\n  margin-bottom: 3rem;\n\n  dd {\n    margin-left: 2rem;\n\n    // Fix until this will be solved to Sphinx https://github.com/sphinx-doc/sphinx/issues/10815\n    & > dl.simple > dt {\n      display: flex;\n    }\n  }\n\n  dl.field-list {\n    display: grid;\n    grid-template-columns: unset;\n  }\n\n  dt.field-odd,\n  dt.field-even {\n    margin-top: 0.2rem;\n    margin-bottom: 0.1rem;\n    background-color: var(--pst-color-surface);\n  }\n}\n","/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\n\n// General code block behavior\n// Unset bootstrap behavior\ndiv[class*=\"highlight-\"],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: $admonition-border-radius;\n  break-inside: avoid;\n}\n\n// Code blocks with captions\n// There's a wrapper when the code block has a title\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  // This is where the title goes\n  div.code-block-caption {\n    margin: 0;\n    border-bottom: 1px solid var(--pst-color-border);\n    padding: 0.5rem;\n    font-size: 1rem;\n    font-weight: var(--pst-font-weight-caption);\n\n    a.headerlink {\n      font-size: inherit;\n    }\n  }\n\n  // Remove the upper border radius since we want it to connect with the title\n  // Remove the box shadow so the wrapper gets the shadow instead\n  div[class*=\"highlight-\"] {\n    margin: 0;\n    border-radius: 0;\n\n    pre {\n      border: none;\n      box-shadow: none;\n    }\n  }\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Minimum opacity needed for linenos to be WCAG AA conformant\nspan.linenos {\n  opacity: 0.8 !important;\n}\n","figure > a,\nfigure > a > img,\nfigure > img,\nfigure > video {\n  display: block;\n  margin-left: auto;\n  margin-right: auto;\n}\n\nfigure {\n  a.headerlink {\n    // So that header link doesn't push caption to be off-center.\n    position: absolute;\n    font-size: inherit;\n  }\n\n  // Default headerlink hover doesn't trigger on figures\n  &:hover a.headerlink {\n    visibility: visible;\n  }\n\n  figcaption {\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-font-weight-caption);\n    color: var(--pst-color-text-muted);\n    margin-left: auto;\n    margin-right: auto;\n    margin-top: 0.3rem;\n    text-align: center;\n\n    & > p:last-child {\n      // Don't add extra margin to already existing figure bottom margin\n      margin-bottom: 0;\n    }\n\n    p {\n      text-align: start;\n      display: inline-block;\n    }\n\n    table.table {\n      width: fit-content;\n      margin-left: auto;\n      margin-right: auto;\n    }\n  }\n}\n","// For consistency, add bracket around footnotes/citations which are\n// cited more than once. E.g. [Newton](1,2) instead of Newton(1,2)\ndt.label > span.brackets:not(:only-child)::before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child)::after {\n  content: \"]\";\n}\n\n// Make footnote as a superscript\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\n// Docutils 0.18 uses an `aside.footnote` container with different internal structure\naside.footnote {\n  margin-bottom: 0.5rem;\n\n  &:last-child {\n    margin-bottom: 1rem;\n  }\n\n  span.label,\n  span.backrefs {\n    font-weight: bold;\n  }\n\n  &:target {\n    background-color: var(--pst-color-target);\n  }\n}\n","/**\n * Hacky fixes that don't fit cleanly into other sections\n */\n\n// Ensure user highlighting/selecting behaves properly\n// From https://stackoverflow.com/a/34372191\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n}\n","// Override bootstrap by restoring the basic theme default.\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n\n  li > p:first-child {\n    margin-bottom: 0.25rem;\n    margin-top: 0.25rem;\n  }\n}\n","// GitHub blockquote style\nblockquote {\n  padding: 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-blockquote-notch);\n  border-radius: $admonition-border-radius;\n  position: relative;\n\n  p {\n    color: var(--pst-color-text-base);\n  }\n\n  // remove padding from included line-block to avoid duplication\n  .line-block {\n    margin: 0;\n  }\n\n  // remove margin bottom for the last p\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @include legacy-backdrop-placeholder;\n\n  background-color: var(--pst-color-surface);\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n\n  // hack to make the text in the blockquote selectable\n  &::before {\n    z-index: -1;\n  }\n}\n","/**\n * Span-level styling within content\n */\n\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n\n  @include legacy-backdrop-placeholder;\n\n  background-color: var(--pst-color-info-bg);\n}\n\na.reference.download::before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n","/**\n * Tables\n */\n\ntable {\n  // default to table-center\n  margin-left: auto;\n  margin-right: auto;\n\n  &.table-right {\n    margin-right: 0;\n  }\n\n  &.table-left {\n    margin-left: 0;\n  }\n}\n\n// customize table caption from bootstrap\n// to display them on top and centered\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\n// MyST Markdown tables use these classes to control alignment\nth,\ntd {\n  &.text-left {\n    text-align: left;\n  }\n\n  &.text-right {\n    text-align: right;\n  }\n\n  &.text-center {\n    text-align: center;\n  }\n}\n\n// override bootstrap table colors\n.table {\n  @include table-colors;\n\n  --bs-table-bg: transparent; // background\n  --bs-table-color: var(\n    --pst-color-text-base\n  ); // ensure text and bullets are visible\n}\n\n.pst-scrollable-table-container {\n  // Put a horizontal scrollbar just below tables that are too wide to fit\n  // within the main column\n  overflow-x: auto;\n}\n","/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper {\n  p.caption {\n    font-size: 1.5em;\n    margin-bottom: 0;\n  }\n\n  & > ul {\n    padding-left: 0;\n  }\n\n  li[class^=\"toctree-l\"] {\n    list-style: none;\n    margin-bottom: 0.2em;\n\n    & > a {\n      list-style: none;\n      font-size: 1.1em;\n    }\n\n    & > ul {\n      list-style: none;\n      padding-inline-start: 1.5em;\n    }\n  }\n\n  // slightly bigger font for l1\n  .toctree-l1 > a {\n    font-size: 1.3em;\n  }\n}\n\ndiv.topic.contents,  // Docutils <= 0.17\nnav.contents  // Docutils >= 0.18\n{\n  // Style similarly to toctree\n  ul.simple {\n    list-style: none;\n    padding-left: 0;\n  }\n}\n","/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\n\n// Applies to all math elements\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n\n  // This will be over-ridden for the y-direction and divs\n  overflow: hidden;\n}\n\n// Inline-only\nspan.math {\n  display: inline-flex;\n}\n\n// Block-level only\ndiv.math {\n  gap: 0.5em;\n\n  // So that the eqno shows up after the equation\n  flex-direction: row-reverse;\n\n  // The equation number / link\n  span.eqno a.headerlink {\n    position: relative;\n    font-size: 1em;\n  }\n\n  // The math container\n  mjx-container {\n    flex-grow: 1;\n    padding-bottom: 0.2rem;\n    overflow: auto;\n\n    // Set height to 0 so that it does not cause scrollbars to appear\n    // ref: https://github.com/mathjax/MathJax/issues/2521\n    mjx-assistive-mml {\n      height: 0;\n    }\n  }\n}\n","/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item {\n  h2,\n  h3 {\n    font-size: var(--pst-sidebar-header-font-size);\n\n    // Remove unnecessary vertical whitespace\n    margin-top: 0.5rem;\n\n    // The headers are all links, but this makes them hard to parse\n    // So we change the colors to make them look like headers\n    a {\n      color: var(--pst-color-text-base);\n    }\n  }\n\n  ul {\n    // No bullet points for the primary sidebar items\n    list-style: none;\n    padding-left: 0;\n\n    // Otherwise a scrollbar randomly shows up\n    overflow-y: hidden;\n\n    // List of recent post items\n    display: flex;\n    flex-direction: column;\n    gap: 0.5em;\n    margin-bottom: 0;\n\n    // The ablog cloud should move horizontally\n    &.ablog-cloud {\n      flex-flow: row wrap;\n      gap: 0.5rem;\n\n      // Vertical-align tag clouds\n      li {\n        // Center the tag cloud items\n        display: flex;\n        align-items: center;\n      }\n    }\n  }\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n\n  // The bottom previous / next arrows\n  > span {\n    // To ensure that the whole thing fits on one line even if there are long titles\n    display: flex;\n    max-width: 45%;\n\n    // Links within each span have the collection of icon + text\n    a {\n      display: flex;\n      align-items: center;\n      margin-left: auto;\n      gap: 1rem;\n      line-height: 1.5rem;\n\n      i::before {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The first span is for the previous page and aligns to the left\n  span.ablog__prev {\n    i.fa-arrow-circle-left::before {\n      content: var(--pst-icon-angle-left);\n    }\n  }\n\n  // The second span is just an empty space so we remove it because we're\n  // positioning with flex\n  span.ablog__spacer {\n    display: none;\n  }\n\n  // The third span is aligned to the right\n  span.ablog__next {\n    margin-left: auto;\n    text-align: right;\n\n    i.fa-arrow-circle-right::before {\n      content: var(--pst-icon-angle-right);\n    }\n  }\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n\n  .ablog-post {\n    list-style: none;\n\n    // Post metadata tags (author, links ,etc) should be a bit smaller\n    .ablog-archive {\n      display: flex;\n      flex-flow: row wrap;\n      gap: 1rem;\n      list-style: none;\n      font-size: 0.75rem;\n      padding-left: 0;\n    }\n\n    // Title line should be a bit bigger and bold to stand out\n    .ablog-post-title {\n      margin-top: 0;\n      font-size: 1.25rem;\n\n      a {\n        font-weight: bold;\n      }\n    }\n\n    // Read more button should be a bit bigger\n    .ablog-post-expand {\n      margin-bottom: 0.5rem;\n    }\n  }\n}\n","/**\n * Special cases for Bootstrap functionality\n */\n\n// Bootstrap adds margin to their general container class. However, sphinx/docutils\n// can also generate output with the container class, but in those cases we should\n// not add the margin from bootstrap. Same for max-width.\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n\n.btn {\n  --bs-btn-focus-box-shadow: #{$btn-focus-box-shadow};\n}\n","/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\n\ndiv.highlight button.copybtn {\n  // Nicer spacing\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  // Don't over-ride the success color\n  &:not(.success) {\n    color: var(--pst-color-muted);\n  }\n\n  border: none;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    &:not(.success) {\n      color: var(--pst-color-text);\n      background-color: var(--pst-color-shadow);\n    }\n  }\n\n  // Tooltip styling\n  &.o-tooltip--left::after {\n    color: var(--pst-color-text);\n    background-color: var(--pst-color-surface);\n  }\n\n  &:focus {\n    // For keyboard users, make the copy button visible when focussed.\n    opacity: 1;\n  }\n\n  &:focus-visible {\n    outline: $focus-ring-outline;\n  }\n}\n\ndiv.highlight:has(button.copybtn) {\n  // Make sure the code block has enough height for the copy button.\n  // Sphinx-copybutton sets 0.3em top offset plus 1.7em height:\n  // https://github.com/executablebooks/sphinx-copybutton/blob/master/sphinx_copybutton/_static/copybutton.css\n  min-height: 2em;\n}\n","// adapt ethical ad to the theme\n#ethical-ad-placement {\n  .ethical-sidebar a,\n  .ethical-sidebar a:visited,\n  .ethical-sidebar a:hover,\n  .ethical-sidebar a:active,\n  .ethical-footer a,\n  .ethical-footer a:visited,\n  .ethical-footer a:hover,\n  .ethical-footer a:active {\n    color: var(--pst-color-text-base);\n  }\n\n  .ethical-sidebar,\n  .ethical-footer {\n    background-color: var(--pst-color-background);\n    border: 1px solid var(--pst-color-border);\n    border-radius: 5px;\n    color: var(--pst-color-text-base);\n    font-size: 14px;\n    line-height: 20px;\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/******************************************************************************\n * Jupyter Sphinx\n */\n\n.bd-content div.jupyter_container {\n  // We don't want borders around the whole container, just around code cells\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n\n  // Code cells should have the same style as our other code objects\n  div.output,\n  div.highlight {\n    border-radius: 0.25rem;\n  }\n\n  div.highlight {\n    background-color: var(--pst-color-surface);\n  }\n\n  // Ensure the style is the same as our code cells. Jupyter Sphinx makes it tiny.\n  .cell_input,\n  .cell_output {\n    border-radius: 0.25rem;\n\n    pre {\n      padding: 1rem;\n    }\n  }\n}\n","/* Styles for graphviz generated output from Sphinx */\n\n/* Style the inheritance diagram such that it has a dark mode */\nhtml[data-theme=\"dark\"] div.graphviz > object.inheritance {\n  filter: brightness(0.8) invert(0.82) contrast(1.2);\n  color-scheme: normal;\n}\n","/**\n * Special-cases for packages in the PyData ecosystem\n */\n\n// xarray output display in bootstrap\n.xr-wrap[hidden] {\n  display: block !important;\n}\n\n// ipywidgets\n.jp-OutputArea-output.lm-Widget {\n  // override overflow:hidden rule from Lumino (.lm-Widget) to allow scrolling\n  overflow: auto;\n}\n","/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n\n@use \"sass:map\";\n@use \"sass:meta\";\n@use \"sass:string\";\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetch\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map.get($map, $key);\n  }\n\n  @return $map;\n}\n\n/* Assign base colors for the PyData theme */\n$color-palette: (\n  // Primary color\n  \"teal\":\n    (\n      \"50\": #f4fbfc,\n      \"100\": #e9f6f8,\n      \"200\": #d0ecf1,\n      \"300\": #abdde6,\n      \"400\": #3fb1c5,\n      \"500\": #0a7d91,\n      \"600\": #085d6c,\n      \"700\": #064752,\n      \"800\": #042c33,\n      \"900\": #021b1f,\n    ),\n  // Secondary color\n  \"violet\":\n    (\n      \"50\": #f4eefb,\n      \"100\": #e0c7ff,\n      \"200\": #d5b4fd,\n      \"300\": #b780ff,\n      \"400\": #9c5ffd,\n      \"500\": #8045e5,\n      \"600\": #6432bd,\n      \"700\": #4b258f,\n      \"800\": #341a61,\n      \"900\": #1e0e39,\n    ),\n  // Neutrals\n  \"gray\":\n    (\n      \"50\": #f9f9fa,\n      \"100\": #f3f4f5,\n      \"200\": #e5e7ea,\n      \"300\": #d1d5da,\n      \"400\": #9ca4af,\n      \"500\": #677384,\n      \"600\": #48566b,\n      \"700\": #29313d,\n      \"800\": #222832,\n      \"900\": #14181e,\n    ),\n  // Accent color\n  \"pink\":\n    (\n      \"50\": #fcf8fd,\n      \"100\": #fcf0fa,\n      \"200\": #f8dff5,\n      \"300\": #f3c7ee,\n      \"400\": #e47fd7,\n      \"500\": #c132af,\n      \"600\": #912583,\n      \"700\": #6e1c64,\n      \"800\": #46123f,\n      \"900\": #2b0b27,\n    ),\n  \"foundation\": (\n    \"white\": #ffffff,\n    // gray-900\n    \"black\": #14181e,\n  )\n);\n\n:root {\n  // Add theme colours to the html root element\n  @each $group-color, $color in $color-palette {\n    @each $color-name, $definition in $color {\n      --pst-#{$group-color}-#{$color-name}: #{$definition};\n    }\n  }\n}\n\n// Static SCSS variables used thoroughout the theme\n// Minimum contrast ratio used for the theme.\n// Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n// 4.5 - is for text that is 14pt or less\n$min-contrast-ratio-4: 4.5;\n\n// 3 is for text that is 18pt or bold, or for non-text elements\n$min-contrast-ratio-3: 3;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$foundation-black: #14181e;\n$foundation-white: #fff;\n\n// This is a custom - calculated  color between gray 100 and 200 - to reduce\n// the contrast ratio (avoid a jarring effect)\n$base-light-text: #ced6dd;\n\n// used in sphinx_design - gray 100\n$foundation-light-gray: #f3f4f5;\n\n// used in sphinx_design - gray 700\n$foundation-muted-gray: #29313d;\n\n// used in sphinx_design - gray 800\n$foundation-dark-gray: #222832;\n$pst-semantic-colors: (\n  \"primary\": (\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"teal\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"teal\", \"800\")},\n  ),\n  \"secondary\": (\n    \"light\": #{map-deep-get($color-palette, \"violet\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"violet\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"800\")},\n  ),\n  \"accent\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"pink\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"pink\", \"800\")},\n  ),\n  \"info\": (\n    \"light\": #276be9,\n    \"bg-light\": #dce7fc,\n    \"dark\": #79a3f2,\n    \"bg-dark\": #06245d,\n  ),\n  \"warning\": (\n    \"light\": #f66a0a,\n    \"bg-light\": #f8e3d0,\n    \"dark\": #ff9245,\n    \"bg-dark\": #652a02,\n  ),\n  \"success\": (\n    \"light\": #00843f,\n    \"bg-light\": #d6ece1,\n    \"dark\": #5fb488,\n    \"bg-dark\": #002f17,\n  ),\n  // This is based on the warning color\n  \"attention\":\n    (\n      \"light\": var(--pst-color-warning),\n      \"bg-light\": var(--pst-color-warning-bg),\n      \"dark\": var(--pst-color-warning),\n      \"bg-dark\": var(--pst-color-warning-bg),\n    ),\n  \"danger\": (\n    \"light\": #d72d47,\n    \"bg-light\": #f9e1e4,\n    \"dark\": #e78894,\n    \"bg-dark\": #4e111b,\n  ),\n  \"text-base\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    \"dark\": $base-light-text,\n  ),\n  \"text-muted\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"shadow\": (\n    \"light\": rgba(0, 0, 0, 0.1),\n    \"dark\": rgba(0, 0, 0, 0.2),\n  ),\n  \"border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"300\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n  ),\n  \"border-muted\": (\n    \"light\": rgba(23, 23, 26, 0.2),\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  \"blockquote-notch\": (\n    // These colors have a contrast ratio > 3.0 against both the background and\n    // surface colors that the notch is sandwiched between\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"500\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"inline-code\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"300\")},\n  ),\n  \"inline-code-links\": (\n    // need to make sure there is enough contrast against the code bg\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"600\")},\n    // keep primary color for dark mode\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n  ),\n  \"target\": (\n    \"light\": #f3cf95,\n    \"dark\": #675c04,\n  ),\n  \"table\": (\n    \"light\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    \"dark\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n  ),\n  \"table-row-hover\": (\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"200\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"700\")},\n  ),\n  \"table-inner-border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"200\")},\n    \"dark\": #364150,\n  ),\n  // DEPTH COLORS - you can see the elevation colours and shades\n  // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1\n  // background: color of the canvas / the furthest back layer\n  \"background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    ),\n  // on-background: provides slight contrast against background\n  // (by use of shadows in light theme)\n  \"on-background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    ),\n  \"surface\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  // on_surface: object on top of surface object (without shadows)\n  \"on-surface\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n      \"dark\": $foundation-light-gray,\n    ),\n);\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * #{something} inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n@mixin theme-colors($mode) {\n  // check if this color is defined differently for light/dark\n  @each $col-name, $definition in $pst-semantic-colors {\n    @if meta.type-of($definition) == map {\n      @each $key, $val in $definition {\n        @if string.index($key, $mode) {\n          // since now we define the bg colours in the semantic colours and not\n          // by changing opacity, we need to check if the key contains bg and the\n          // correct mode (light/dark)\n          @if string.index($key, \"bg\") {\n            --pst-color-#{$col-name}-bg: #{$val};\n          } @else {\n            --pst-color-#{$col-name}: #{$val};\n          }\n        }\n      }\n    } @else {\n      --pst-color-#{$col-name}: #{$definition};\n    }\n  }\n\n  // assign the \"duplicate\" colors (ones that just reference other variables)\n  & {\n    --pst-color-heading: var(--pst-color-text-base);\n    --pst-color-link: var(--pst-color-primary);\n    --pst-color-link-hover: var(--pst-color-secondary);\n    --pst-color-table-outer-border: var(--pst-color-surface);\n    --pst-color-table-heading-bg: var(--pst-color-surface);\n    --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n    --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n  }\n\n  // adapt to light/dark-specific content\n  @if $mode == \"light\" {\n    .only-dark,\n    .only-dark ~ figcaption {\n      display: none !important;\n    }\n  } @else {\n    .only-light,\n    .only-light ~ figcaption {\n      display: none !important;\n    }\n\n    /* Adjust images in dark mode (unless they have class .only-dark or\n     * .dark-light, in which case assume they're already optimized for dark\n     * mode).\n     */\n    img:not(.only-dark, .dark-light) {\n      filter: brightness(0.8) contrast(1.2);\n    }\n\n    /* Give images a light background in dark mode in case they have\n    *  transparency and black text (unless they have class .only-dark or .dark-light, in\n    *  which case assume they're already optimized for dark mode).\n    */\n    .bd-content img:not(.only-dark, .dark-light) {\n      background-color: rgb(255 255 255);\n      border-radius: 0.25rem;\n    }\n\n    // MathJax SVG outputs should be filled to same color as text.\n    .MathJax_SVG * {\n      fill: var(--pst-color-text-base);\n    }\n  }\n}\n\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  @include theme-colors(\"light\");\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    @include theme-colors($mode);\n\n    color-scheme: $mode;\n  }\n}\n\n// assign classes too, for runtime use of theme colors\n@each $col-name, $definition in $pst-semantic-colors {\n  .pst-color-#{$col-name} {\n    color: var(--pst-color-#{$col-name});\n  }\n}\n","/*******************************************************************************\n * Special-cases for the sphinx-design library, mainly to make it compatible\n * with the dark/light themes of pydata-sphinx-theme.\n *\n * NOTE: sphinx-design uses !important quite liberally, so here we must do the\n * same for our overrides to have any effect.\n */\n@use \"../variables/color\" as pst-color;\n@use \"sass:color\";\n@use \"sass:map\";\n@use \"sass:meta\";\n@use \"sass:string\";\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n$sd-semantic-color-names: (\n  \"primary\",\n  \"secondary\",\n  \"success\",\n  \"info\",\n  \"warning\",\n  \"danger\",\n  \"light\",\n  \"muted\",\n  \"dark\",\n  \"black\",\n  \"white\"\n);\n\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\n$extra-semantic-colors: (\n  \"white\": $foundation-white,\n  \"light\": (\n    light: $foundation-light-gray,\n    bg-light: color.scale($foundation-light-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-light-gray, $lightness: -30%),\n  ),\n  \"muted\": (\n    light: $foundation-muted-gray,\n    bg-light: color.scale($foundation-muted-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-muted-gray, $lightness: -30%),\n  ),\n  \"dark\": $foundation-dark-gray,\n  \"black\": $foundation-black,\n);\n$all-colors: map.merge($pst-semantic-colors, $extra-semantic-colors);\n\n@mixin create-sd-colors($value, $name) {\n  // define the pst variables, so that downstream user overrides will work\n  --pst-color-#{$name}: #{$value};\n\n  // we are now using a11y-combination to calculate the text color - this is based\n  // on the WCAG color contrast guidelines\n  --pst-color-#{$name}-text: #{a11y-combination($value)};\n\n  // highlight is used for hover effects on buttons, here we make some fluid scaling\n  // to avoid jarring effects -- we create a local variable that we can access\n  // later to calculate the text color\n  $highlight-color: color.scale($value, $lightness: -15%, $saturation: 5%);\n\n  --pst-color-#{$name}-highlight: #{$highlight-color};\n\n  // override the sphinx-design variables\n  --sd-color-#{$name}: var(--pst-color-#{$name});\n  --sd-color-#{$name}-text: var(--pst-color-#{$name}-text);\n  --sd-color-#{$name}-highlight: var(--pst-color-#{$name}-highlight);\n\n  // calculate the text color for the highlight color\n  --pst-color-#{$name}-highlight-text: #{a11y-combination($highlight-color)};\n}\n\n// Now we override the --sd-color-* variables.\n@each $mode in (light, dark) {\n  @debug \"Creating color variables for mode: #{$mode}\";\n  html[data-theme=\"#{$mode}\"] {\n    // check if this color is defined differently for light/dark\n    @each $name in $sd-semantic-color-names {\n      $definition: map.get($all-colors, $name);\n\n      @if meta.type-of($definition) == map {\n        @each $key, $value in $definition {\n          @if string.index($key, $mode) {\n            // since now we define the bg colours in the semantic colours and not\n            // by changing opacity, we need to check if the key contains bg and the\n            // correct mode (light/dark)\n            @if string.index($key, \"bg\") {\n              --sd-color-#{$name}-bg: #{$value};\n\n              // create local variable -- needed to calculate the text color\n              $value: check-color($value);\n\n              --sd-color-#{$name}-bg-text: #{a11y-combination($value)};\n            } @else {\n              $value: check-color($value);\n\n              @include create-sd-colors($value, $name);\n            }\n          }\n        }\n      } @else {\n        $value: map.get($all-colors, $name);\n\n        @include create-sd-colors($value, $name);\n      }\n    }\n  }\n}\n\n// Make sure the color border variables are set using our variables\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    --sd-color-card-border: var(--pst-color-border);\n  }\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=\"light\"] {\n  .sd-shadow-xs,\n  .sd-shadow-sm,\n  .sd-shadow-md,\n  .sd-shadow-lg {\n    @include box-shadow;\n  }\n}\n\n/*******************************************************************************\n  * cards\n  */\n\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n\n  .sd-card-header {\n    background-color: var(--pst-color-on-background);\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-footer {\n    background-color: var(--pst-color-on-background);\n    border-top: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-body {\n    background-color: var(--pst-color-on-background);\n  }\n\n  // Focus ring for link-cards\n  .sd-stretched-link:focus-visible {\n    // Don't put the focus ring on the <a> element (it has zero height in Sphinx Design cards)\n    outline: none;\n\n    // Put the focus ring on the <a> element's ::after pseudo-element\n    &::after {\n      outline: $focus-ring-outline;\n      border-radius: 0.25rem; // copied from Sphinx Design CSS for .sd-card\n    }\n  }\n\n  &.sd-card-hover:hover {\n    border-color: var(--pst-color-link-hover);\n  }\n}\n\n/*******************************************************************************\n  * tabs\n  */\n\n.bd-content .sd-tab-set {\n  > input {\n    // Active tab label\n    &:checked + label {\n      border-style: solid solid none;\n      border-color: var(--pst-color-primary) var(--pst-color-primary)\n        transparent; // top LR bottom\n\n      border-width: 0.125rem 0.125rem 0;\n      border-radius: 0.125rem 0.125rem 0 0;\n      background-color: var(--pst-color-on-background);\n      transform: translateY(0.125rem);\n      color: var(--pst-color-primary);\n    }\n\n    &:focus-visible + label {\n      border: 0.125rem solid var(--pst-color-accent);\n      border-radius: 0.125rem;\n      background-color: var(--pst-color-accent-bg);\n      color: var(--pst-color-on-surface);\n    }\n\n    // Hover label\n    &:not(:checked, :focus-visible) + label:hover {\n      border-color: transparent;\n      color: var(--pst-color-secondary);\n      text-decoration-line: underline;\n      text-decoration-thickness: $link-hover-decoration-thickness;\n    }\n  }\n\n  // Tab label\n  > label {\n    color: var(--pst-color-on-surface);\n    border: 0.125rem solid transparent;\n    border-radius: 0.125rem 0.125rem 0 0;\n    background-color: var(--pst-color-surface);\n    padding: 0 0.75em;\n    margin-inline-end: 0.25rem;\n    line-height: 1.95;\n\n    html[data-theme=\"dark\"] & {\n      background-color: var(--pst-color-on-background);\n    }\n  }\n\n  // panel\n  .sd-tab-content {\n    border: 0.125rem solid var(--pst-color-primary);\n    border-radius: 0.1875rem;\n    box-shadow: unset;\n    padding: 0.625rem;\n    background-color: var(--pst-color-on-background);\n  }\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\n\ndetails.sd-dropdown {\n  // Remove all borders to over-ride SD behavior, and we'll add our own later\n  border: 0 !important;\n\n  // Drop shadow should behave same as admonitions\n  @include box-shadow;\n\n  // Header is where the \"clickable\" box goes\n  summary.sd-card-header {\n    border: 0 !important;\n    display: flex;\n    align-items: center;\n    position: relative; // So background color works\n    font-weight: 600;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n\n    // Set a variable that we can re-use for colors later\n    // We must set this in the current and content sibling container\n    // so that it is defined in both places\n    --pst-sd-dropdown-color: var(--pst-gray-500);\n    --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n\n    & + div.sd-summary-content {\n      border: 0;\n\n      --pst-sd-dropdown-color: var(--sd-color-card-border);\n    }\n\n    @each $name in $sd-semantic-color-names {\n      &.sd-bg-#{$name} {\n        --pst-sd-dropdown-color: var(--sd-color-#{$name});\n        --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n\n        // Otherwise it won't be defined in the sibling element\n        & + div.sd-summary-content {\n          --pst-sd-dropdown-color: var(--sd-color-#{$name});\n          --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        }\n      }\n      &.sd-bg-text-#{$name} {\n        // Use the WCAG conformant text color\n        color: var(--sd-color-#{$name}-bg-text) !important;\n      }\n    }\n\n    @include legacy-backdrop-placeholder;\n\n    background-color: var(--pst-sd-dropdown-bg-color) !important;\n\n    // Add a left border with the same structure as our admonitions\n    border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n\n    // stylelint-disable-next-line no-duplicate-selectors\n    & + div.sd-summary-content {\n      border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n      border-bottom-left-radius: calc(0.25rem - 1px);\n      background-color: var(--pst-color-on-background);\n    }\n\n    span.sd-summary-icon {\n      display: inline-flex;\n      align-items: center;\n      color: var(--pst-sd-dropdown-color) !important;\n\n      svg {\n        opacity: 1;\n      }\n    }\n\n    // Positioning of the caret\n    .sd-summary-up,\n    .sd-summary-down {\n      top: 0.7rem;\n    }\n\n    @include hover-darken-lighten;\n\n    // Focus ring\n    &:focus:focus-visible {\n      outline: $focus-ring-outline;\n      outline-offset: $focus-ring-offset;\n      border-radius: $focus-ring-width;\n    }\n  }\n\n  &[open] summary.sd-card-header:focus:focus-visible {\n    border-bottom-left-radius: 0;\n    border-bottom-right-radius: 0;\n  }\n}\n\n/*******************************************************************************\n* Buttons (which in Sphinx Design are actually links that look like buttons)\n* ref: https://sphinx-design.readthedocs.io/en/pydata-theme/badges_buttons.html#buttons\n*/\nhtml {\n  .sd-btn {\n    min-width: 2.25rem;\n    padding: 0.3125rem 0.75rem 0.4375rem; // 5px 12px 7px\n\n    &:hover {\n      @include link-style-hover; // override Sphinx Design\n\n      text-decoration-thickness: 1px;\n    }\n  }\n\n  @each $name in $sd-semantic-color-names {\n    .sd-btn-#{$name} {\n      &:hover {\n        color: var(--pst-color-#{$name}-highlight-text) !important;\n      }\n    }\n  }\n\n  @each $name in $sd-semantic-color-names {\n    .sd-btn-#{$name},\n    .sd-btn-outline-#{$name} {\n      &:focus-visible {\n        outline: var(--sd-color-#{$name}) solid $focus-ring-width;\n        outline-offset: $focus-ring-offset;\n        border-radius: $focus-ring-width;\n\n        // Override Sphinx Design's use of -highlight colors. The -highlight\n        // colors are 15% darker, so this would create the effect of darkening\n        // the button when focused but we just want the button to have a focus\n        // ring of the same (non-highlight) color.\n        background-color: var(--sd-color-#{$name}) !important;\n        border-color: var(--sd-color-#{$name}) !important;\n      }\n    }\n  }\n}\n","/**\n * Sphinx togglebutton\n *\n * The rules in this style sheet are meant to tweak the\n * [sphinx-togglebutton](https://sphinx-togglebutton.readthedocs.io/en/latest/index.html)\n * extension so that it matches the look and feel of this theme.\n */\n\n.bd-content {\n  @mixin chevron-down {\n    .toggle-chevron-right {\n      transform: rotate(90deg); // point chevron down\n      transition: none; // match non-animated behavior of other chevrons on site\n    }\n  }\n\n  @mixin chevron-up {\n    .toggle-chevron-right {\n      transform: rotate(-90deg); // point chevron up\n      transition: none; // match non-animated behavior of other chevrons on site\n    }\n  }\n\n  // Apply this mixin to the element that will be hovered. These styles are\n  // intended to match what sphinx-design does for its dropdown admonitions.\n  @mixin icon-hover-effects {\n    &:hover .tb-icon {\n      opacity: 1;\n      scale: 1.1;\n    }\n\n    .tb-icon {\n      opacity: 0.6;\n    }\n  }\n\n  // Collapsible admonition, implemented as <div> + <button>\n  .dropdown.admonition.toggle {\n    // The title is visible when the admonition is collapsed and expanded\n    .admonition-title {\n      @include icon-hover-effects;\n      @include hover-darken-lighten;\n\n      &:hover {\n        box-shadow: none;\n      }\n    }\n\n    button.toggle-button {\n      color: inherit;\n\n      // When disclosure widget is closed\n      &.toggle-button-hidden {\n        @include chevron-down;\n      }\n\n      // When open\n      @include chevron-up;\n    }\n\n    // Focus ring\n    // ----------\n    // Sphinx-togglebutton makes the entire admonition header clickable, but\n    // only the button within the header is focusable. But we want the entire\n    // header and not just the button inside the header to be surrounded by a\n    // a focus ring.\n    &:has(:focus-visible) {\n      /* Override Sphinx Toggle Button. Make the overflow visible, otherwise the\n      focus ring is hidden. */\n      overflow: visible;\n\n      /*\n      Why not just do the following?\n\n      ```\n      .admonition-title {\n        outline: $focus-ring-outline;\n      }\n      ```\n\n      Why use ::before? If we put the focus ring on the ::before pseudo-element,\n      we can reposition the focus ring by repositioning the pseudo-element.\n\n      Why reposition? The left edge of the admonition title box does not align\n      with the left edge of the overall admonition box. There is a left border\n      that belongs to the overall box. The border is outside of the admonition\n      title, which means it is also outside of a focus ring around the title. We\n      can make the focus ring bigger, with `outline-offset`, but this will\n      result in a ring that looks off-centered. So we have to pull the ring left\n      and stretch it right. That's what the pseudo-element allows us to do.\n\n      Note: we do not have to do this for collapsible admonitions made with\n      Sphinx Design (as opposed to sphinx-togglebutton).\n      */\n      .admonition-title::before {\n        content: \"\";\n\n        // pull the focus ring left and expand it right to be perfectly centered\n        // between the left border and the right edge of the admonition title\n        left: -$admonition-left-border-width;\n        width: calc(100% + $admonition-left-border-width);\n        height: 100%;\n        outline: $focus-ring-outline;\n        outline-offset: $focus-ring-offset;\n        border-radius: $focus-ring-width;\n      }\n\n      // When expanded, sharpen the bottom left and right corners of the focus ring\n      &:not(.toggle-hidden) .admonition-title::before {\n        border-bottom-left-radius: 0;\n        border-bottom-right-radius: 0;\n      }\n    }\n  }\n\n  // Collapsible component, implemented as <details> + <summary>\n  details.toggle-details {\n    // Over-ride border color to re-use our primary color\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n\n      @include chevron-down;\n      @include icon-hover-effects;\n      @include hover-darken-lighten;\n\n      &:hover {\n        box-shadow: none;\n      }\n\n      &:focus-visible {\n        outline-offset: $focus-ring-offset;\n      }\n    }\n\n    // When expanded, sharpen the bottom left and right corners of the focus ring\n    &[open] {\n      @include chevron-up;\n\n      :focus-visible {\n        border-bottom-left-radius: 0;\n        border-bottom-right-radius: 0;\n      }\n    }\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html,\n// NBsphinx ipywidgets output selector\nhtml .jp-RenderedHTMLCommon {\n  // Add some margin around the element box for the focus ring. Otherwise the\n  // focus ring gets clipped because the containing elements have `overflow:\n  // hidden` applied to them (via the `.lm-Widget` selector)\n  margin: $focus-ring-width;\n\n  table {\n    table-layout: auto;\n  }\n}\n\n.bd-content .nboutput {\n  .output_area {\n    &.rendered_html,\n    .jp-RenderedHTMLCommon {\n      // pandas\n      table.dataframe {\n        @include table-colors;\n\n        tbody {\n          tr:hover {\n            background-color: var(--pst-color-table-row-hover-bg);\n          }\n        }\n      }\n    }\n\n    // Dark theme special-cases\n    html[data-theme=\"dark\"] & {\n      &.rendered_html:not(:has(table.dataframe)),\n      // ipywidgets\n      .widget-subarea {\n        @include cell-output-background;\n      }\n\n      &.stderr {\n        background-color: var(--pst-color-danger);\n      }\n    }\n  }\n}\n\n// Add extra padding to the final item in an nbsphinx container\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\n// Override nbsphinx's colors for notebook cell prompts because they do not have\n// sufficient contrast. Colors chosen from accessible-pygments\n// a11y-high-contrast-{light,dark} themes.\n\n// Notebook cell input line number. Replace nbsphinx's low contrast blue with\n// higher contrast blues.\n.nbinput.container .prompt pre {\n  html[data-theme=\"light\"] & {\n    // Copied from accessible-pygments [a11y-high-contrast-light](https://github.com/Quansight-Labs/accessible-pygments/tree/main/a11y_pygments/a11y_high_contrast_light)\n    color: #005b82;\n  }\n\n  html[data-theme=\"dark\"] & {\n    // Copied from accessible-pygments [a11y-high-contrast-dark](https://github.com/Quansight-Labs/accessible-pygments/tree/main/a11y_pygments/a11y_high_contrast_dark)\n    color: #00e0e0;\n  }\n}\n\n// Notebook cell output line number. Replace nbsphinx's low contrast red with\n// higher contrast red / orange.\n.nboutput.container .prompt pre {\n  html[data-theme=\"light\"] & {\n    // Copied from accessible-pygments [a11y-high-contrast-light](https://github.com/Quansight-Labs/accessible-pygments/tree/main/a11y_pygments/a11y_high_contrast_light)\n    color: #a12236;\n  }\n\n  html[data-theme=\"dark\"] & {\n    // Copied from accessible-pygments [a11y-high-contrast-dark](https://github.com/Quansight-Labs/accessible-pygments/tree/main/a11y_pygments/a11y_high_contrast_dark)\n    color: #ffa07a;\n  }\n}\n\n/*******************************************************************************\n * myst NB\n */\n\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n.bd-content div.cell_output {\n  // pandas\n  table.dataframe {\n    @include table-colors;\n\n    tbody {\n      tr:hover {\n        background-color: var(--pst-color-table-row-hover-bg);\n      }\n    }\n  }\n\n  html[data-theme=\"dark\"] & {\n    img,\n    .text_html:not(:has(table.dataframe)),\n    // ipywidgets\n    .widget-subarea {\n      @include cell-output-background;\n    }\n  }\n}\n\n// Prevent tables from scrunching together\n.bd-content {\n  div.cell_input {\n    display: flex;\n    flex-direction: column;\n    justify-content: stretch;\n  }\n\n  div.cell_input,\n  div.output {\n    border-radius: $admonition-border-radius;\n  }\n\n  div.output {\n    table {\n      table-layout: auto;\n    }\n  }\n}\n","/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=\"dark\"] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n","/**\n * /search.html page special-cases\n */\n\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n  // Whitespace\n  div#search-results {\n    > h2 {\n      font-size: var(--pst-font-size-icon);\n      margin-top: 1rem;\n    }\n\n    p.search-summary {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  ul.search {\n    margin: 0;\n    list-style: none;\n\n    li {\n      background-image: none;\n      padding: 1rem 0;\n      margin: 1rem 0;\n      border-top: 1px solid var(--pst-color-text-muted);\n\n      // First link is the page title, it should be a bit bigger\n      > a {\n        font-size: 1.2em;\n      }\n\n      div.context,\n      p.context {\n        color: var(--pst-color-text-base);\n        margin: 0.5em 0 0;\n\n        // Add a # before page section titles to make it clear they are sections\n        a::before {\n          content: \"#\";\n          padding-right: 0.2em;\n          color: var(--pst-color-text-muted);\n        }\n      }\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/styles/sphinx-book-theme.css b/_static/styles/sphinx-book-theme.css
new file mode 100644
index 0000000000..5197540c96
--- /dev/null
+++ b/_static/styles/sphinx-book-theme.css
@@ -0,0 +1,9 @@
+/*! sphinx-book-theme CSS
+ * BSD 3-Clause License
+ * Copyright (c) 2020, EBP
+ * All rights reserved.
+ *
+ * This follows the 7-1 pattern described here:
+ * https://sass-guidelin.es/#architecture
+ */html[data-theme=dark],html[data-theme=light]{--pst-font-size-base:none;--pst-color-secondary:#e89217}html[data-theme=light]{--sbt-color-announcement:#616161;--pst-color-primary:#176de8}html[data-theme=dark]{--pst-color-primary:#528fe4;--sbt-color-announcement:#616161;--pst-color-background:#121212}html{scroll-padding-top:4rem}.sbt-scroll-pixel-helper{height:0;left:0;position:absolute;top:0;width:0}.d-n,.onlyprint{display:none}@media print{.onlyprint{display:block!important}.noprint{display:none!important}}.bd-article-container h1,.bd-article-container h2,.bd-article-container h3,.bd-article-container h4,.bd-article-container h5,.bd-article-container p.caption{color:var(--pst-color-muted)}.bd-article-container h1,.bd-article-container h2{font-weight:500}a.brackets:before{color:inherit;font-family:inherit;margin-right:0}table{position:relative}@media print{.bd-main .bd-content{height:auto;margin-left:2rem}.bd-main .bd-content #jb-print-docs-body{margin-left:0}.bd-main .bd-content #jb-print-docs-body h1{font-size:3em;margin-bottom:0;text-align:center}.bd-main .bd-content .bd-article{padding-top:0}.bd-main .bd-content .bd-article h1:first-of-type{display:none}.bd-main .bd-content .container{min-width:0!important}.bd-main .bd-content h1{margin-bottom:1em;margin-top:1em}.bd-main .bd-content h1,.bd-main .bd-content h2,.bd-main .bd-content h3,.bd-main .bd-content h4{break-after:avoid;color:#000}.bd-main .bd-content table{break-inside:avoid}.bd-main .bd-content pre{word-wrap:break-word}.bd-main .bd-content a.headerlink{display:none}.bd-main .bd-content aside.margin,.bd-main .bd-content aside.sidebar,.bd-main .bd-content blockquote.epigraph{border:none}.bd-main .bd-content .footer{margin-top:1em}.bd-main .bd-content #jb-print-toc{margin-bottom:1.5rem;margin-left:0}.bd-main .bd-content #jb-print-toc .section-nav{border-left:0!important;list-style-type:disc!important;margin-left:3em!important}.bd-main .bd-content #jb-print-toc .section-nav a{text-decoration:none!important}.bd-main .bd-content #jb-print-toc .section-nav li{display:list-item!important}.bd-main .bd-content #jb-print-toc .section-nav .nav{display:none}.bd-main .bd-footer-content{display:none!important}}.bd-header-announcement{background-color:var(--sbt-color-announcement);color:#fff}.bd-main .bd-content{justify-content:left}.bd-main .bd-content .bd-article-container{min-width:0;overflow-x:unset;padding:0}@media(min-width:1200px){.bd-main .bd-content .bd-article-container{max-width:calc(100% - var(--pst-sidebar-secondary))}}.bd-main .bd-content .bd-article-container .bd-article{padding-left:2rem;padding-right:2rem}@media(max-width:768px){.bd-main .bd-content .bd-article-container .bd-article{padding-left:1rem;padding-right:1rem}}.bd-main .bd-content .bd-article-container details.above-input summary,.bd-main .bd-content .bd-article-container details.below-input summary{border-left:3px solid var(--pst-color-primary)}@media(min-width:768px){button.sidebar-toggle.primary-toggle{display:inline-block}}@media(max-width:768px){button.sidebar-toggle.primary-toggle{margin-bottom:0}}@media(min-width:1200px){button.sidebar-toggle.secondary-toggle{display:none}}@media(max-width:768px){button.sidebar-toggle.secondary-toggle{margin-bottom:0}}.bd-header-article{align-items:center;background-color:var(--pst-color-background);display:flex;font-size:.9em;padding:0 1rem;position:sticky;top:0;transition:left .2s;z-index:1020}@media(max-width:768px){.bd-header-article{height:3.5rem;padding:0 .5rem}}.scrolled .bd-header-article{box-shadow:0 6px 6px -6px var(--pst-color-shadow)}.bd-header-article .header-article__inner{padding:0}.bd-header-article .header-article-items{align-items:center;display:flex;height:3rem;width:100%}.bd-header-article .header-article-item{align-items:center;display:flex}.bd-header-article .article-header-buttons{display:flex}.bd-header-article .btn{align-items:center;border:none;color:var(--pst-color-text-muted);display:flex;font-size:1.3rem;padding-left:.5rem;padding-right:.5rem}.bd-header-article .btn svg{width:1.3rem}.bd-header-article .btn.show,.bd-header-article .btn:hover{border:none;color:var(--pst-color-text-base)}.bd-header-article .btn.show+.dropdown-menu,.bd-header-article .btn:hover+.dropdown-menu{display:block}.bd-header-article .btn:focus{box-shadow:none}.bd-header-article .btn.dropdown-toggle:after{display:none}.bd-header-article div.dropdown{align-items:center;display:flex}.bd-header-article .theme-switch-button{margin:0}.bd-header-article .theme-switch-button button,.bd-header-article .theme-switch-button i,.bd-header-article .theme-switch-button span{padding:0}.bd-header-article .theme-switch-button i,.bd-header-article .theme-switch-button span{transition:color .25s ease-out}.bd-header-article .theme-switch-button:active,.bd-header-article .theme-switch-button:hover{background-color:unset!important}.bd-header-article .theme-switch-button:active i,.bd-header-article .theme-switch-button:active span,.bd-header-article .theme-switch-button:hover i,.bd-header-article .theme-switch-button:hover span{color:var(--pst-color-text-base)}.bd-header-article .dropdown-menu{background-color:var(--pst-color-background);border-color:var(--pst-color-border);box-shadow:0 .2rem .5rem var(--pst-color-shadow),0 0 .0625rem var(--pst-color-shadow)!important;color:var(--pst-color-text-muted);top:2rem;transform:translateX(-75%)}.bd-header-article .dropdown-menu:hover{display:block}.bd-header-article .dropdown-menu .dropdown-item{align-items:center;display:inline-flex;font-size:1em;padding-left:.5em}.bd-header-article .dropdown-menu .dropdown-item:hover{background-color:initial;color:var(--pst-color-text-base);text-decoration:none}.bd-header-article .dropdown-menu .dropdown-item span img{height:1em}.bd-header-article .dropdown-menu .dropdown-item 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https://github.com/pydata/pydata-sphinx-theme/blob/master/pydata_sphinx_theme/static/css/theme.css\nhtml[data-theme=\"light\"] {\n  // Announcement\n  --sbt-color-announcement: rgb(97, 97, 97);\n  // Default primary color (need to adjust on dark theme due to bad contrast)\n  --pst-color-primary: #176de8;\n}\n\nhtml[data-theme=\"dark\"] {\n  // Slightly lighten these colors to make them stand out more on dark\n  --pst-color-primary: #528fe4;\n\n  // Over-ride the purple announcement color\n  --sbt-color-announcement: rgb(97, 97, 97);\n  // Desaturate the background\n  --pst-color-background: #121212;\n}\n","/**\n * General structural things\n */\nhtml {\n  // The PyData theme value for this is based on `header-height` variable.\n  // We set the variable to 0 and have our own $article-header-height SCSS variable.\n  // So here we follow the same pattern but now using our variable.\n  scroll-padding-top: $header-article-height + 1rem;\n}\n\n/**\n* Utility classes used in a few places\n*/\n// For the helper pixel that we can watch to decide whether we've scrolled\n.sbt-scroll-pixel-helper {\n  position: absolute;\n  width: 0px;\n  height: 0px;\n  top: 0;\n  left: 0;\n}\n\n// We define our own display-none class since bootstrap uses !important and we want to be able to over-ride\n.d-n {\n  display: none;\n}\n\n/**\n * Printing behavior\n */\n// Only display upon printing\n.onlyprint {\n  display: none;\n\n  @media print {\n    display: block !important;\n  }\n}\n\n// Prevent an item from being printed\n.noprint {\n  @media print {\n    display: none !important;\n  }\n}\n","/*********************************************\n* Basic text formatting and content structure *\n*********************************************/\n\n.bd-article-container {\n  h1,\n  h2,\n  h3,\n  h4,\n  h5,\n  p.caption {\n    color: var(--pst-color-muted);\n  }\n\n  // Top two headers are slightly bolder\n  h1,\n  h2 {\n    font-weight: 500;\n  }\n}\n\n// counteracting pydata style on a::before, for citation style\na.brackets::before {\n  color: inherit;\n  font-family: inherit;\n  margin-right: 0rem;\n}\n\ntable {\n  position: relative;\n}\n","/*********************************************\n* Print-specific CSS *\n*********************************************/\n@media print {\n  .bd-main {\n    .bd-content {\n      margin-left: 2rem;\n      height: auto;\n      // Structural elements\n      #jb-print-docs-body {\n        margin-left: 0rem;\n\n        h1 {\n          font-size: 3em;\n          text-align: center;\n          margin-bottom: 0;\n        }\n      }\n      // Main content adjustments\n      .bd-article {\n        padding-top: 0;\n\n        // The first H1 is the title, we've already displayed above\n        h1:first-of-type {\n          display: none;\n        }\n      }\n\n      // HACK: Without this, some code cells take the whole width\n      .container {\n        min-width: 0% !important;\n      }\n\n      // Content\n      h1 {\n        margin-top: 1em;\n        margin-bottom: 1em;\n      }\n      h1,\n      h2,\n      h3,\n      h4 {\n        break-after: avoid;\n        color: black;\n      }\n\n      table {\n        break-inside: avoid;\n      }\n\n      pre {\n        word-wrap: break-word;\n      }\n\n      a.headerlink {\n        display: none;\n      }\n\n      // Remove borders to save some ink\n      blockquote.epigraph,\n      aside.margin,\n      aside.sidebar {\n        border: none;\n      }\n\n      .footer {\n        margin-top: 1em;\n      }\n      // Print-only table of contents\n      #jb-print-toc {\n        margin-bottom: 1.5rem;\n        margin-left: 0rem;\n        .section-nav {\n          border-left: 0px !important;\n          list-style-type: disc !important;\n          margin-left: 3em !important;\n          a {\n            text-decoration: none !important;\n          }\n          li {\n            display: list-item !important;\n          }\n          .nav {\n            display: none;\n          }\n        }\n      }\n    }\n\n    // Hide the footer on printing\n    .bd-footer-content {\n      display: none !important;\n    }\n  }\n}\n",".bd-header-announcement {\n  background-color: var(--sbt-color-announcement);\n  color: #fff;\n}\n",".bd-main .bd-content {\n  // make article container left aligned in absence of sidebar\n  justify-content: left;\n}\n",".bd-main .bd-content .bd-article-container {\n  // Re-adjust padding defaults to be flush on the top and right\n  padding: 0rem;\n  // Unset overflow x so that sticky: top works for the article header\n  overflow-x: unset;\n  // prevent from overflowing the flex container\n  min-width: 0;\n\n  @media (min-width: $breakpoint-xl) {\n    // keep article at reasonable width in absence of sidebar\n    max-width: calc(100% - var(--pst-sidebar-secondary));\n  }\n\n  .bd-article {\n    padding-right: 2rem;\n    padding-left: 2rem;\n    @media (max-width: $breakpoint-md) {\n      padding-right: 1rem;\n      padding-left: 1rem;\n    }\n  }\n  details.above-input,\n  details.below-input {\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n    }\n  }\n}\n","/*********************************************\n* Top Bar *\n*********************************************/\n/**\n * Mixin:\n * Header behavior on mobile\n */\n@mixin header-height-mobile {\n  @media (max-width: $breakpoint-md) {\n    height: $header-article-height + 0.5rem;\n  }\n}\n\n/**\n * Sidebar toggle over-rides for PST\n */\n// Primary toggle is always visible\nbutton.sidebar-toggle.primary-toggle {\n  @media (min-width: $breakpoint-md) {\n    display: inline-block;\n  }\n  @media (max-width: $breakpoint-md) {\n    margin-bottom: 0px;\n  }\n}\n\n// Secondary toggle mimics behavior of \"persistent header\" div of PST\nbutton.sidebar-toggle.secondary-toggle {\n  @media (min-width: $breakpoint-xl) {\n    display: none;\n  }\n  @media (max-width: $breakpoint-md) {\n    margin-bottom: 0px;\n  }\n}\n\n// Wrapper container\n.bd-header-article {\n  display: flex;\n  align-items: center;\n  position: sticky;\n  top: 0;\n  background-color: var(--pst-color-background);\n  transition: left 0.2s;\n  font-size: 0.9em;\n  padding: 0 1rem;\n\n  @media (max-width: $breakpoint-md) {\n    // Give mobile view a bit more space for text\n    padding: 0 0.5rem;\n  }\n  z-index: $zindex-sticky;\n\n  @include header-height-mobile;\n\n  // The box shadow that shows up when you've scrolled past the top\n  .scrolled & {\n    box-shadow: 0 6px 6px -6px var(--pst-color-shadow);\n  }\n\n  // Remove inner padding so that spacing of buttons is a bit tighter\n  .header-article__inner {\n    padding: 0;\n  }\n\n  // Inner container with items in it\n  .header-article-items {\n    display: flex;\n    align-items: center;\n    height: $header-article-height;\n    width: 100%;\n  }\n\n  // Contains the individual item components so we want it centered\n  .header-article-item {\n    display: flex;\n    align-items: center;\n  }\n\n  /**\n  * Buttons in the header\n  */\n  // A series of buttons we special-case in the theme\n  .article-header-buttons {\n    display: flex;\n  }\n\n  // Generic button styles\n  .btn {\n    // Basic button size\n    font-size: 1.3rem;\n    color: var(--pst-color-text-muted);\n    border: none;\n    padding-left: 0.5rem;\n    padding-right: 0.5rem;\n\n    // Make sure anything inside is aligned vertically\n    display: flex;\n    align-items: center;\n\n    // Fix width of buttons so they're all the same\n    svg {\n      width: 1.3rem;\n    }\n\n    // Hover / active behavior\n    &.show,\n    &:hover {\n      color: var(--pst-color-text-base);\n      border: none;\n      & + .dropdown-menu {\n        display: block;\n      }\n    }\n    &:focus {\n      box-shadow: none;\n    }\n\n    &.dropdown-toggle {\n      // Hide the bootstrap caret\n      &:after {\n        display: none;\n      }\n    }\n  }\n\n  // Vertically align dropdown buttons\n  div.dropdown {\n    display: flex;\n    align-items: center;\n  }\n\n  .theme-switch-button {\n    // Removing some special-casing that was needed in PST\n    margin: 0;\n\n    // Remove extra padding since it is already there between sidebar items\n    span,\n    i,\n    button {\n      padding: 0;\n    }\n\n    // No background on hover. Need important to over-ride the PST which uses it too.\n    span,\n    i {\n      transition: color $animation-time ease-out;\n    }\n    &:active,\n    &:hover {\n      background-color: unset !important;\n      span,\n      i {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The menu that is normally hidden until you hover\n  .dropdown-menu {\n    // Hidden unless we are hovering\n    &:hover {\n      display: block;\n    }\n\n    // Positioning and layout of dropdown items to be standardized\n    top: 2rem;\n    transform: translateX(-75%);\n    @include pst-box-shadow;\n\n    // Color and shadowing\n    border-color: var(--pst-color-border);\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n\n    .dropdown-item {\n      display: inline-flex;\n      align-items: center;\n      padding-left: 0.5em;\n\n      // To prevent link underline from showing up\n      &:hover {\n        text-decoration: none;\n        background-color: initial;\n        color: var(--pst-color-text-base);\n      }\n\n      // Slightly smaller font for everything\n      font-size: 1em;\n\n      // Image icons should be the same height as <i> icons\n      span img {\n        height: 1em;\n      }\n\n      span.btn__icon-container {\n        width: 1.7em;\n        align-items: center;\n        display: inline-flex;\n        justify-content: center;\n      }\n    }\n  }\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n/**\n* Hide the scrollbar until the element is hovered, so keep the page clean\n* Use this sparingly because it's not a great UX pattern.\n*/\n@mixin scrollbar-on-hover() {\n  &:not(:hover) {\n    &::-webkit-scrollbar-thumb {\n      visibility: hidden;\n    }\n  }\n}\n\n/**\n * The PyData Sphinx Theme box shadow rule\n * Copied here in csae we need to re-use.\n*/\n@mixin pst-box-shadow() {\n  box-shadow:\n    0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n",".bd-header {\n  // Turn off sticky positioning so that it scrolls\n  position: inherit;\n\n  // Turn these off because we'll show it in the article header\n  // The primary sidebar toggle\n  button.sidebar-toggle {\n    display: none;\n  }\n}\n","/*********************************************\n* Left Nav Bar *\n*********************************************/\n\n.bd-sidebar-primary {\n  // So that it sticks to the top of the page instead of the header height\n  top: 0;\n  max-height: 100vh;\n\n  // Tighter padding so the spacing is more equal\n  padding: 1rem;\n\n  // Draw open/close animation\n  transition:\n    margin-left $animation-time ease 0s,\n    opacity $animation-time ease 0s,\n    visibility $animation-time ease 0s;\n\n  @media (max-width: $breakpoint-md) {\n    // So that tooltips don't overlap\n    z-index: $zindex-tooltip + 1;\n  }\n\n  // Remove the top border since there's often no header items above\n  .sidebar-primary-items__start {\n    border-top: none;\n  }\n\n  // On wide screens we have a smaller sidebar width than PST\n  @media (min-width: $breakpoint-lg) {\n    flex-basis: $sidebar-primary-width-widescreen;\n  }\n}\n\n// Default visibility for left sidebar is the reverse of what it is on mobile.\n// It is shown by default, and hidden with a click.\n// Mobile behavior is defined in the pydata sphinx theme\n@media (min-width: $breakpoint-lg) {\n  input#pst-primary-sidebar-checkbox:checked\n    ~ .bd-container\n    .bd-sidebar-primary {\n    margin-left: -$sidebar-primary-width-widescreen;\n    visibility: hidden;\n    opacity: 0;\n  }\n}\n","/*********************************************\n* Table of Contents (right nav bar)          *\n*********************************************/\n\n.bd-sidebar-secondary {\n  // So that it sticks to the top of the page instead of the header height\n  top: 0;\n\n  @media (max-width: $breakpoint-xl) {\n    // So that tooltips don't overlap\n    z-index: $zindex-tooltip + 1;\n  }\n\n  // So that we can center the TOC button with the article header buttons\n  .sidebar-secondary-items {\n    padding: 0;\n    display: flex;\n    gap: 0.5rem;\n\n    // Remove the manual padding since we'll use `gap`\n    .sidebar-secondary-item {\n      padding-top: 0;\n      padding-bottom: 0;\n    }\n  }\n\n  // The 'on this page' title div should take up the full header\n  .onthispage {\n    height: $header-article-height;\n    min-height: $header-article-height;\n    display: flex;\n    gap: 0.5rem;\n    align-items: center;\n    margin: 0;\n    color: var(--pst-color-muted);\n  }\n\n  // Wide screen behavior\n  @media (min-width: $breakpoint-xl) {\n    background: var(--pst-color-background);\n    height: fit-content;\n    transition: max-height 0.4s ease;\n\n    // To make sure it shows above the page content\n    z-index: $zindex-middle;\n\n    // Remove padding so that it's flush on the top and left\n    padding: 0;\n\n    // This is the container div for the secondary sidebar nav\n    .toc-item {\n      // Border is a bit less prominent\n      border-left-color: var(--pst-color-surface);\n      // Flush with the top so that we can fix the height of the toc header div\n      padding-top: 0;\n\n      // The table of contents <ul> after the title div\n      nav.page-toc {\n        // Remove extra margin the PST adds for other sidebar items\n        margin-bottom: 0;\n\n        // Items after \"on this page' should fade in and out\n        transition: opacity 0.4s ease;\n      }\n    }\n\n    // Rules for when sidebar is hidden\n    // the `not:hover` means that hovering over the sidebar will show it again.\n    &.hide:not(:hover) {\n      // Cap the height, and remove the scrollbar\n      max-height: $header-article-height;\n      overflow-y: hidden;\n\n      // Shadow matches what we have in the article header\n      .scrolled & {\n        box-shadow: 0 6px 6px -6px rgba(0, 0, 0, 0.3);\n      }\n\n      // Show a down carot\n      .onthispage:after {\n        opacity: 1;\n        content: \"\\f107\";\n        font-family: \"Font Awesome 5 Free\";\n        font-weight: 900;\n        padding-left: 0.5em;\n        transition: opacity 0.3s ease;\n      }\n\n      // The page-toc list is hidden\n      nav.page-toc {\n        opacity: 0;\n      }\n    }\n  }\n}\n","/*********************************************\n* Footer - content *\n*********************************************/\nfooter {\n  font-size: var(--sbt-font-size-small-1);\n  &.bd-footer-content {\n    display: flex;\n    flex-wrap: wrap;\n    padding: 15px;\n    border-top: 1px solid #ccc;\n    font-size: $sbt-font-size-small-1;\n    .bd-footer-content__inner {\n      padding-left: 0px;\n      p {\n        margin-bottom: 0px;\n      }\n    }\n  }\n}\n",".bd-footer-article {\n  padding: 0rem 1rem;\n  @media (max-width: $breakpoint-md) {\n    // More room for text on mobile\n    padding: 0rem 0.5rem;\n  }\n}\n","#pst-back-to-top {\n  // We should only display the back-to-top button when the TOC is not available.\n  // AKA, on narrow-ish screens.\n  // This over-rides a PST default\n  @media (min-width: $breakpoint-xl) {\n    display: none !important;\n  }\n\n  // Reduce size to be slightly less intrusive on the page\n  font-size: 0.8rem;\n}\n","/**\n * Icon links design for the primary sidebar, where it defaults in this theme.\n */\n.bd-sidebar-primary {\n  .navbar-icon-links {\n    column-gap: 0.5rem;\n\n    .nav-link {\n      // There are few kinds of elements that can be icon links and each is different\n      i,\n      span {\n        font-size: 1.2rem;\n      }\n\n      // Images usually fill more vertical space so we make them a bit smaller\n      img {\n        font-size: 0.8rem;\n      }\n    }\n  }\n}\n",".navbar-brand {\n  height: unset;\n  max-height: unset;\n\n  // Auto-center the image and title and make items vertical\n  flex-direction: column;\n  justify-content: center;\n  gap: 0.25rem;\n\n  // To prevent site text from having underlines\n  &:hover {\n    text-decoration: none;\n  }\n  .logo__title {\n    font-size: 1.25rem;\n    white-space: normal;\n    text-align: center;\n  }\n  // Prevent images from stretching vertically\n  .logo__image {\n    height: unset;\n  }\n}\n","// Clean up the search page so that it has less unnecessary text\n.bd-search-container {\n  margin: 2em;\n\n  #search-results {\n    h2:first-child {\n      display: none;\n    }\n  }\n}\n\n// Sidebar search button field\n.search-button-field {\n  width: 100%;\n  font-size: 0.9rem;\n  // Hide by default and we'll add a rule to show it on wide sreen below\n  display: none;\n\n  .search-button__kbd-shortcut {\n    margin-left: auto;\n  }\n}\n\n// Rules to switch off visibility of the field button and the header button\n@media (min-width: $breakpoint-lg) {\n  .search-button {\n    display: none !important;\n  }\n\n  .search-button-field {\n    display: flex;\n  }\n}\n\n// The \"clear search results\" button\n// Make it line up with our content better\ndiv#searchbox {\n  padding-right: 2rem;\n  padding-left: 2rem;\n  @media (max-width: $breakpoint-md) {\n    padding-right: 1rem;\n    padding-left: 1rem;\n  }\n\n  p.highlight-link {\n    // Remove the extra margin that is added\n    @media (min-width: $breakpoint-md) {\n      margin-left: 0;\n      a {\n        font-size: 1rem;\n      }\n    }\n  }\n}\n","// Images\nimg {\n  max-width: 100%;\n\n  &.align-center {\n    margin-left: auto;\n    margin-right: auto;\n    display: block;\n  }\n\n  &.align-left {\n    clear: left;\n    float: left;\n    margin-right: 1em;\n  }\n\n  &.align-right {\n    clear: right;\n    float: right;\n    margin-left: 1em;\n  }\n}\n\n// Figures\ndiv.figure {\n  width: 100%;\n  margin-bottom: 1em;\n  text-align: center;\n\n  &.align-left {\n    text-align: left;\n    p.caption {\n      margin-left: 0;\n    }\n  }\n  &.align-right {\n    text-align: right;\n    p.caption {\n      margin-right: 0;\n    }\n  }\n\n  p.caption {\n    margin: 0.5em 10%;\n  }\n\n  &.margin,\n  &.margin-caption {\n    p.caption {\n      margin: 0.5em 0;\n    }\n  }\n\n  &.margin-caption p.caption {\n    text-align: left;\n  }\n\n  span.caption-number {\n    font-weight: bold;\n  }\n\n  span {\n    font-size: 0.9rem;\n  }\n}\n","/**\n * Margin content\n * This is the area to the right of the main content\n * normally covered by the in-page table of contents\n * but if `.margin` classes are present, it shows up to the right in the margin\n * and the in-page TOC is hidden.\n * On narrow screens, margin content behaves like a sidebar\n */\n\n/**\n * Variables for calculating margin widths\n */\n// We want our margin content to be 1/3 the width of the main page content\n// after factoring in a small margin\n$margin-width-relative-to-content: 36%;\n$margin-gutter: 3%;\n$margin-width-width-gutter: $margin-width-relative-to-content - $margin-gutter;\n\n// re-subtract the gutter width because we want it to leave a white-space\n// This is how much to offset the margin content.\n$margin-offset: -$margin-width-relative-to-content;\n\n/**\n * This mixin will cause something to \"pop out\" to the margin on wide screens\n */\n@mixin margin-content() {\n  // On narrow screens this is the width of margin content\n  width: 40%;\n  float: right;\n  background-color: unset;\n  font-size: 0.9em;\n  margin-left: 0.5rem;\n\n  // Wide screens and printing should force margin behavior\n  @media (min-width: $breakpoint-lg), print {\n    width: $margin-width-width-gutter;\n    margin: 0 $margin-offset 0 0;\n\n    // Prevent sequential margin content from overlapping\n    clear: right;\n\n    p.sidebar-title {\n      margin-bottom: -1rem;\n      border-bottom: none;\n      padding-left: 0px;\n\n      // Content of admonitions has fewer horizontal white space to save space\n      ~ * {\n        padding-left: 0px;\n        padding-right: 0px;\n      }\n    }\n  }\n}\n\n/**\n * Sidenotes and marginnotes\n * over-rides the \"footnote\" behavior to pop out to the margin instead.\n */\nlabel.margin-toggle {\n  margin-bottom: 0em;\n  &.marginnote-label {\n    display: none;\n  }\n  sup {\n    user-select: none;\n  }\n  @media (max-width: $breakpoint-lg) {\n    cursor: pointer;\n    color: rgb(0, 113, 188);\n    &.marginnote-label {\n      display: inline;\n      &:after {\n        content: \"\\2295\";\n      }\n    }\n  }\n}\n\ninput.margin-toggle {\n  display: none;\n  @media (max-width: $breakpoint-lg) {\n    &:checked + .sidenote,\n    &:checked + .marginnote {\n      display: block;\n      float: left;\n      left: 1rem;\n      clear: both;\n      width: 95%;\n      margin: 1rem 2.5%;\n      position: relative;\n    }\n  }\n}\n\nspan.sidenote,\nspan.marginnote {\n  z-index: $zindex-middle;\n  position: relative;\n  sup {\n    user-select: none;\n  }\n  @include margin-content();\n  border-left: none;\n  @media (max-width: $breakpoint-lg) {\n    display: none;\n  }\n}\n\naside.sidebar {\n  .note {\n    // styling for notes inside sidebars\n    margin: 1rem;\n    padding: 0rem 0rem 1rem 0rem;\n  }\n  // The titles sticking\n  .admonition-title {\n    margin: 0rem -1rem 0rem 0rem;\n  }\n}\n\n/**\n * Sidebar content in the margin.\n * This will be added by the `margin` directive or the `sidebar` directive\n */\naside.sidebar.margin {\n  // Margin content can have an empty title so this prevents an empty title block\n  // from showing up on mobile\n  .sidebar-title:empty {\n    display: none;\n  }\n\n  // On narrow screens padding is added to all sidebar content\n  // This replaces padding w/ margin for admonitions because padding is used\n  // for the title background color\n  .admonition {\n    margin: 0.5rem;\n    padding-left: 0;\n    padding-right: 0;\n\n    // Remove the title margin so it\n    .admonition-title {\n      margin-left: 0;\n      margin-right: 0;\n    }\n  }\n\n  @media (min-width: $breakpoint-lg) {\n    // No border for margin sidebars on wide screen\n    border: none;\n\n    // Admonitions don't need the extra whitespace in the margin\n    .admonition {\n      margin: 1rem 0rem;\n      padding: 0rem 0rem 1rem 0rem;\n    }\n  }\n}\n\ndiv.margin,\nfigure.margin,\naside.margin,\n.margin.docutils.container,\n.cell.tag_popout,\n.cell.tag_margin {\n  z-index: $zindex-middle;\n  position: relative;\n  @include margin-content();\n\n  // Make cell outputs take up more space if they're in the margin\n  div.cell.tag_margin .cell_output {\n    padding-left: 0;\n  }\n}\n\n// A few permutations because docutils 0.18 switched to semantic tags\ndiv.figure.margin-caption p.caption,\ndiv.figure.margin-caption figcaption,\nfigure.margin-caption figcaption {\n  z-index: $zindex-middle;\n  position: relative;\n  @include margin-content();\n}\n\n// Margin captions\n.margin-caption figcaption {\n  text-align: left;\n}\n\n/**\n * Full width content\n */\n\n// Grow 100% by the ratio of the margin to the content width.\n$content-fullwidth-width: 100% + $margin-width-relative-to-content;\n\ndiv.cell.tag_full-width,\ndiv.cell.tag_full_width,\ndiv.full_width,\ndiv.full-width {\n  z-index: $zindex-middle;\n  position: relative;\n  @media (min-width: $breakpoint-lg) {\n    max-width: $content-fullwidth-width;\n    width: $content-fullwidth-width;\n  }\n}\n","/**\n * Epigraphs and other \"special\" quote blocks\n */\n\nblockquote {\n  &.pull-quote,\n  &.epigraph,\n  &.highlights {\n    font-size: 1.25em;\n    border-left: none;\n    background-color: var(--pst-color-background);\n  }\n\n  div > p + p.attribution {\n    font-style: normal;\n    font-size: 0.9em;\n    text-align: right;\n    color: #6c757d;\n    padding-right: 2em;\n  }\n}\n","// Over-ride Sphinx default so that content fills whitespace w/ margin content\npre,\ndiv[class*=\"highlight-\"] {\n  clear: none;\n}\n","// MyST-NB and Jupyter Notebooks\ndiv.cell.tag_output_scroll div.cell_output,\ndiv.cell.tag_scroll-output div.cell_output {\n  max-height: 24em;\n  overflow-y: auto;\n}\n\ndiv.cell.tag_scroll-input div.cell_input {\n  max-height: 24em;\n  overflow-y: auto;\n}\n","/**\n * Comment JavaScript libraries\n  * Libraries supported here are:\n  * - Hypothes.is : https://web.hypothes.is/\n  * - Utteranc.es : https://utteranc.es/\n  */\n// In general we want to hide any comment libraries on print\n@media only print {\n  hypothesis-sidebar,\n  div.utterances {\n    display: none;\n  }\n}\n","/*********************************************\n* Thebe *\n* ref: https://github.com/executablebooks/thebe\n*********************************************/\n.thebelab-cell {\n  border: none !important;\n  margin-right: 0.5em !important;\n}\n\n.thebelab-cell .thebelab-input {\n  padding-left: 10px !important;\n}\n\n.cell.docutils.container {\n  padding-right: 0px !important;\n}\n\nbutton.thebe-launch-button {\n  height: 2.5em;\n  font-size: 1em;\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/styles/theme.css b/_static/styles/theme.css
new file mode 100644
index 0000000000..4519dd9120
--- /dev/null
+++ b/_static/styles/theme.css
@@ -0,0 +1,2 @@
+/* Provided by Sphinx's 'basic' theme, and included in the final set of assets */
+@import "../basic.css";
diff --git a/_static/togglebutton.css b/_static/togglebutton.css
new file mode 100644
index 0000000000..54a678790f
--- /dev/null
+++ b/_static/togglebutton.css
@@ -0,0 +1,160 @@
+/**
+ * Admonition-based toggles
+ */
+
+/* Visibility of the target */
+.admonition.toggle .admonition-title ~ * {
+    transition: opacity .3s, height .3s;
+}
+
+/* Toggle buttons inside admonitions so we see the title */
+.admonition.toggle {
+    position: relative;
+}
+
+/* Titles should cut off earlier to avoid overlapping w/ button */
+.admonition.toggle .admonition-title {
+    padding-right: 25%;
+    cursor: pointer;
+}
+
+/* Hovering will cause a slight shift in color to make it feel interactive */
+.admonition.toggle .admonition-title:hover {
+    box-shadow: inset 0 0 0px 20px rgb(0 0 0 / 1%);
+}
+
+/* Hovering will cause a slight shift in color to make it feel interactive */
+.admonition.toggle .admonition-title:active {
+    box-shadow: inset 0 0 0px 20px rgb(0 0 0 / 3%);
+}
+
+/* Remove extra whitespace below the admonition title when hidden */
+.admonition.toggle-hidden {
+    padding-bottom: 0;
+}
+
+.admonition.toggle-hidden .admonition-title {
+    margin-bottom: 0;
+}
+
+/* hides all the content of a page until de-toggled */
+.admonition.toggle-hidden .admonition-title ~ * {
+    height: 0;
+    margin: 0;
+    opacity: 0;
+    visibility: hidden;
+}
+
+/* General button style and position*/
+button.toggle-button {
+    /**
+     * Background and shape. By default there's no background
+     * but users can style as they wish
+     */  
+    background: none;
+    border: none;
+    outline: none;
+
+    /* Positioning just inside the admonition title */
+    position: absolute;
+    right: 0.5em;
+    padding: 0px;
+    border: none;
+    outline: none;
+}
+
+/* Display the toggle hint on wide screens */
+@media (min-width: 768px) {
+    button.toggle-button.toggle-button-hidden:before {
+        content: attr(data-toggle-hint);  /* This will be filled in by JS */
+        font-size: .8em;
+        align-self: center;
+    }
+}
+
+/* Icon behavior */
+.tb-icon {
+    transition: transform .2s ease-out;
+    height: 1.5em;
+    width: 1.5em;
+    stroke: currentColor;  /* So that we inherit the color of other text */
+}
+
+/* The icon should point right when closed, down when open. */
+/* Open */
+.admonition.toggle button .tb-icon {
+    transform: rotate(90deg);
+}
+
+/* Closed */
+.admonition.toggle button.toggle-button-hidden .tb-icon {
+    transform: rotate(0deg);
+}
+
+/* With details toggles, we don't rotate the icon so it points right */
+details.toggle-details .tb-icon {
+    height: 1.4em;
+    width: 1.4em;
+    margin-top: 0.1em;  /* To center the button vertically */
+}
+
+
+/**
+ * Details-based toggles.
+ * In this case, we wrap elements with `.toggle` in a details block.
+ */
+
+/* Details blocks */
+details.toggle-details {
+    margin: 1em 0;
+}
+
+
+details.toggle-details summary {
+    display: flex;
+    align-items: center;
+    cursor: pointer;
+    list-style: none;
+    border-radius: .2em;
+    border-left: 3px solid #1976d2;
+    background-color: rgb(204 204 204 / 10%);
+    padding: 0.2em 0.7em 0.3em 0.5em; /* Less padding on left because the SVG has left margin */
+    font-size: 0.9em;
+}
+
+details.toggle-details summary:hover {
+    background-color: rgb(204 204 204 / 20%);
+}
+
+details.toggle-details summary:active {
+    background: rgb(204 204 204 / 28%);
+}
+
+.toggle-details__summary-text {
+    margin-left: 0.2em;
+}
+
+details.toggle-details[open] summary {
+    margin-bottom: .5em;
+}
+
+details.toggle-details[open] summary .tb-icon {
+    transform: rotate(90deg);
+}
+
+details.toggle-details[open] summary ~ * {
+    animation: toggle-fade-in .3s ease-out;
+}
+
+@keyframes toggle-fade-in {
+  from {opacity: 0%;}
+  to {opacity: 100%;}
+}
+
+/* Print rules - we hide all toggle button elements at print */
+@media print {
+    /* Always hide the summary so the button doesn't show up */
+    details.toggle-details summary {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/_static/togglebutton.js b/_static/togglebutton.js
new file mode 100644
index 0000000000..215a7eef40
--- /dev/null
+++ b/_static/togglebutton.js
@@ -0,0 +1,187 @@
+/**
+ * Add Toggle Buttons to elements
+ */
+
+let toggleChevron = `
+<svg xmlns="http://www.w3.org/2000/svg" class="tb-icon toggle-chevron-right" width="44" height="44" viewBox="0 0 24 24" stroke-width="1.5" stroke="#000000" fill="none" stroke-linecap="round" stroke-linejoin="round">
+<path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+<polyline points="9 6 15 12 9 18" />
+</svg>`;
+
+var initToggleItems = () => {
+  var itemsToToggle = document.querySelectorAll(togglebuttonSelector);
+  console.log(`[togglebutton]: Adding toggle buttons to ${itemsToToggle.length} items`)
+  // Add the button to each admonition and hook up a callback to toggle visibility
+  itemsToToggle.forEach((item, index) => {
+    if (item.classList.contains("admonition")) {
+      // If it's an admonition block, then we'll add a button inside
+      // Generate unique IDs for this item
+      var toggleID = `toggle-${index}`;
+      var buttonID = `button-${toggleID}`;
+
+      item.setAttribute('id', toggleID);
+      if (!item.classList.contains("toggle")){
+        item.classList.add("toggle");
+      }
+      // This is the button that will be added to each item to trigger the toggle
+      var collapseButton = `
+        <button type="button" id="${buttonID}" class="toggle-button" data-target="${toggleID}" data-button="${buttonID}" data-toggle-hint="${toggleHintShow}" aria-label="Toggle hidden content">
+            ${toggleChevron}
+        </button>`;
+
+      title = item.querySelector(".admonition-title")
+      title.insertAdjacentHTML("beforeend", collapseButton);
+      thisButton = document.getElementById(buttonID);
+
+      // Add click handlers for the button + admonition title (if admonition)
+      admonitionTitle = document.querySelector(`#${toggleID} > .admonition-title`)
+      if (admonitionTitle) {
+        // If an admonition, then make the whole title block clickable
+        admonitionTitle.addEventListener('click', toggleClickHandler);
+        admonitionTitle.dataset.target = toggleID
+        admonitionTitle.dataset.button = buttonID
+      } else {
+        // If not an admonition then we'll listen for the button click
+        thisButton.addEventListener('click', toggleClickHandler);
+      }
+
+      // Now hide the item for this toggle button unless explicitly noted to show
+      if (!item.classList.contains("toggle-shown")) {
+        toggleHidden(thisButton);
+      }
+    } else {
+      // If not an admonition, wrap the block in a <details> block
+      // Define the structure of the details block and insert it as a sibling
+      var detailsBlock = `
+        <details class="toggle-details">
+            <summary class="toggle-details__summary">
+              ${toggleChevron}
+              <span class="toggle-details__summary-text">${toggleHintShow}</span>
+            </summary>
+        </details>`;
+      item.insertAdjacentHTML("beforebegin", detailsBlock);
+
+      // Now move the toggle-able content inside of the details block
+      details = item.previousElementSibling
+      details.appendChild(item)
+      item.classList.add("toggle-details__container")
+
+      // Set up a click trigger to change the text as needed
+      details.addEventListener('click', (click) => {
+        let parent = click.target.parentElement;
+        if (parent.tagName.toLowerCase() == "details") {
+          summary = parent.querySelector("summary");
+          details = parent;
+        } else {
+          summary = parent;
+          details = parent.parentElement;
+        }
+        // Update the inner text for the proper hint
+        if (details.open) {
+          summary.querySelector("span.toggle-details__summary-text").innerText = toggleHintShow;
+        } else {
+          summary.querySelector("span.toggle-details__summary-text").innerText = toggleHintHide;
+        }
+        
+      });
+
+      // If we have a toggle-shown class, open details block should be open
+      if (item.classList.contains("toggle-shown")) {
+        details.click();
+      }
+    }
+  })
+};
+
+// This should simply add / remove the collapsed class and change the button text
+var toggleHidden = (button) => {
+  target = button.dataset['target']
+  var itemToToggle = document.getElementById(target);
+  if (itemToToggle.classList.contains("toggle-hidden")) {
+    itemToToggle.classList.remove("toggle-hidden");
+    button.classList.remove("toggle-button-hidden");
+  } else {
+    itemToToggle.classList.add("toggle-hidden");
+    button.classList.add("toggle-button-hidden");
+  }
+}
+
+var toggleClickHandler = (click) => {
+  // Be cause the admonition title is clickable and extends to the whole admonition
+  // We only look for a click event on this title to trigger the toggle.
+
+  if (click.target.classList.contains("admonition-title")) {
+    button = click.target.querySelector(".toggle-button");
+  } else if (click.target.classList.contains("tb-icon")) {
+    // We've clicked the icon and need to search up one parent for the button
+    button = click.target.parentElement;
+  } else if (click.target.tagName == "polyline") {
+    // We've clicked the SVG elements inside the button, need to up 2 layers
+    button = click.target.parentElement.parentElement;
+  } else if (click.target.classList.contains("toggle-button")) {
+    // We've clicked the button itself and so don't need to do anything
+    button = click.target;
+  } else {
+    console.log(`[togglebutton]: Couldn't find button for ${click.target}`)
+  }
+  target = document.getElementById(button.dataset['button']);
+  toggleHidden(target);
+}
+
+// If we want to blanket-add toggle classes to certain cells
+var addToggleToSelector = () => {
+  const selector = "";
+  if (selector.length > 0) {
+    document.querySelectorAll(selector).forEach((item) => {
+      item.classList.add("toggle");
+    })
+  }
+}
+
+// Helper function to run when the DOM is finished
+const sphinxToggleRunWhenDOMLoaded = cb => {
+  if (document.readyState != 'loading') {
+    cb()
+  } else if (document.addEventListener) {
+    document.addEventListener('DOMContentLoaded', cb)
+  } else {
+    document.attachEvent('onreadystatechange', function() {
+      if (document.readyState == 'complete') cb()
+    })
+  }
+}
+sphinxToggleRunWhenDOMLoaded(addToggleToSelector)
+sphinxToggleRunWhenDOMLoaded(initToggleItems)
+
+/** Toggle details blocks to be open when printing */
+if (toggleOpenOnPrint == "true") {
+  window.addEventListener("beforeprint", () => {
+    // Open the details
+    document.querySelectorAll("details.toggle-details").forEach((el) => {
+      el.dataset["togglestatus"] = el.open;
+      el.open = true;
+    });
+  
+    // Open the admonitions
+    document.querySelectorAll(".admonition.toggle.toggle-hidden").forEach((el) => {
+      console.log(el);
+      el.querySelector("button.toggle-button").click();
+      el.dataset["toggle_after_print"] = "true";
+    });
+  });
+  window.addEventListener("afterprint", () => {
+    // Re-close the details that were closed
+    document.querySelectorAll("details.toggle-details").forEach((el) => {
+      el.open = el.dataset["togglestatus"] == "true";
+      delete el.dataset["togglestatus"];
+    });
+  
+    // Re-close the admonition toggle buttons
+    document.querySelectorAll(".admonition.toggle").forEach((el) => {
+      if (el.dataset["toggle_after_print"] == "true") {
+        el.querySelector("button.toggle-button").click();
+        delete el.dataset["toggle_after_print"];
+      }
+    });
+  });
+}
diff --git a/_static/vendor/fontawesome/webfonts/fa-brands-400.ttf b/_static/vendor/fontawesome/webfonts/fa-brands-400.ttf
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literal 0
HcmV?d00001

diff --git a/_static/webpack-macros.html b/_static/webpack-macros.html
new file mode 100644
index 0000000000..89732b23ed
--- /dev/null
+++ b/_static/webpack-macros.html
@@ -0,0 +1,24 @@
+<!--
+  AUTO-GENERATED from webpack.config.js, do **NOT** edit by hand.
+  These are re-used in layout.html
+-->
+
+{% macro head_pre_assets() %}
+  <!-- Loaded before other Sphinx assets -->
+  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=8878045cc6db502f8baf" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=8878045cc6db502f8baf" rel="stylesheet" />
+{% endmacro %}
+
+{% macro head_js_preload() %}
+  <!-- So that users can add custom icons -->
+  <script src="{{ pathto('_static/scripts/fontawesome.js', 1) }}?digest=8878045cc6db502f8baf"></script>
+  <!-- Pre-loaded scripts that we'll load fully later -->
+  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8878045cc6db502f8baf" />
+<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8878045cc6db502f8baf" />
+{% endmacro %}
+
+{% macro body_post() %}
+  <!-- Scripts loaded after <body> so the DOM is not blocked -->
+  <script defer src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8878045cc6db502f8baf"></script>
+<script defer src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8878045cc6db502f8baf"></script>
+{% endmacro %}
\ No newline at end of file
diff --git a/autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html b/autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html
new file mode 100644
index 0000000000..64535a0f76
--- /dev/null
+++ b/autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html
@@ -0,0 +1,852 @@
+
+<!DOCTYPE html>
+
+
+<html lang="en" data-content_root="../../../../" >
+
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
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+  
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+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
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+  <!--
+    this give us a css class that will be invisible only if js is disabled
+  -->
+  <noscript>
+    <style>
+      .pst-js-only { display: none !important; }
+
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+  </noscript>
+  
+  <!-- Loaded before other Sphinx assets -->
+  <link href="../../../../_static/styles/theme.css?digest=8878045cc6db502f8baf" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8878045cc6db502f8baf" rel="stylesheet" />
+
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-design.min.css?v=95c83b7e" />
+  
+  <!-- So that users can add custom icons -->
+  <script src="../../../../_static/scripts/fontawesome.js?digest=8878045cc6db502f8baf"></script>
+  <!-- Pre-loaded scripts that we'll load fully later -->
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8878045cc6db502f8baf" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8878045cc6db502f8baf" />
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
+    <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../../../_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
+    <script>let toggleHintShow = 'Click to show';</script>
+    <script>let toggleHintHide = 'Click to hide';</script>
+    <script>let toggleOpenOnPrint = 'true';</script>
+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=f930bc37"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=c100c467"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index';</script>
+    <link rel="index" title="Index" href="../../../../genindex.html" />
+    <link rel="search" title="Search" href="../../../../search.html" />
+  <meta name="viewport" content="width=device-width, initial-scale=1"/>
+  <meta name="docsearch:language" content="en"/>
+  <meta name="docsearch:version" content="" />
+  </head>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
+
+  
+  
+  <div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>Back to top</button>
+
+  
+  <dialog id="pst-search-dialog">
+    
+<form class="bd-search d-flex align-items-center"
+      action="../../../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         placeholder="Search this book..."
+         aria-label="Search this book..."
+         autocomplete="off"
+         autocorrect="off"
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+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form>
+  </dialog>
+
+  <div class="pst-async-banner-revealer d-none">
+  <aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
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+  
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+  <div class="bd-container">
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+        
+      
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+  <div class="sidebar-header-items sidebar-primary__section">
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+    
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+    <div class="sidebar-primary-items__start sidebar-primary__section">
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+<a class="navbar-brand logo" href="../../../../index.html">
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+        
+        <ul class="nav bd-sidenav bd-sidenav__home-link">
+            <li class="toctree-l1">
+                <a class="reference internal" href="../../../../index.html">
+                    FAIR-Chem overview
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+    <h1>adsorbml.2023_neurips_challenge.challenge_eval</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.is_successful"><code class="docutils literal notranslate"><span class="pre">is_successful()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.compute_valid_ml_success"><code class="docutils literal notranslate"><span class="pre">compute_valid_ml_success()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.get_dft_data"><code class="docutils literal notranslate"><span class="pre">get_dft_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.process_ml_data"><code class="docutils literal notranslate"><span class="pre">process_ml_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+  <section id="module-adsorbml.2023_neurips_challenge.challenge_eval">
+<span id="adsorbml-2023-neurips-challenge-challenge-eval"></span><h1>adsorbml.2023_neurips_challenge.challenge_eval<a class="headerlink" href="#module-adsorbml.2023_neurips_challenge.challenge_eval" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.2023_neurips_challenge.challenge_eval.is_successful" title="adsorbml.2023_neurips_challenge.challenge_eval.is_successful"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_successful</span></code></a>(best_pred_energy, best_dft_energy[, ...])</p></td>
+<td><p>Computes the success rate given the best predicted energy</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.2023_neurips_challenge.challenge_eval.compute_valid_ml_success" title="adsorbml.2023_neurips_challenge.challenge_eval.compute_valid_ml_success"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_valid_ml_success</span></code></a>(ml_data, dft_data)</p></td>
+<td><p>Computes validated ML success rates.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.2023_neurips_challenge.challenge_eval.get_dft_data" title="adsorbml.2023_neurips_challenge.challenge_eval.get_dft_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dft_data</span></code></a>(targets)</p></td>
+<td><p>Organizes the released target mapping for evaluation lookup.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.2023_neurips_challenge.challenge_eval.process_ml_data" title="adsorbml.2023_neurips_challenge.challenge_eval.process_ml_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">process_ml_data</span></code></a>(results_file, model, metadata, ...)</p></td>
+<td><p>For ML systems in which no configurations made it through the physical</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.2023_neurips_challenge.challenge_eval.parse_args" title="adsorbml.2023_neurips_challenge.challenge_eval.parse_args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_args</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.2023_neurips_challenge.challenge_eval.main" title="adsorbml.2023_neurips_challenge.challenge_eval.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>()</p></td>
+<td><p>This script takes in your prediction file (npz format)</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.2023_neurips_challenge.challenge_eval.is_successful">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.2023_neurips_challenge.challenge_eval.</span></span><span class="sig-name descname"><span class="pre">is_successful</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">best_pred_energy</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">best_dft_energy</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SUCCESS_THRESHOLD</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.2023_neurips_challenge.challenge_eval.is_successful" title="Link to this definition">#</a></dt>
+<dd><p>Computes the success rate given the best predicted energy
+and the best ground truth DFT energy.</p>
+<p>success_parity: The standard definition for success, where ML needs to be
+within the SUCCESS_THRESHOLD, or lower, of the DFT energy.</p>
+<p>Returns: Bool</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.2023_neurips_challenge.challenge_eval.compute_valid_ml_success">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.2023_neurips_challenge.challenge_eval.</span></span><span class="sig-name descname"><span class="pre">compute_valid_ml_success</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ml_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dft_data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.2023_neurips_challenge.challenge_eval.compute_valid_ml_success" title="Link to this definition">#</a></dt>
+<dd><p>Computes validated ML success rates.
+Here, results are generated only from ML. DFT single-points are used to
+validate whether the ML energy is within 0.1eV of the DFT energy of the
+predicted structure. If valid, the ML energy is compared to the ground
+truth DFT energy, otherwise it is discarded.</p>
+<p>Return validated ML success rates.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.2023_neurips_challenge.challenge_eval.get_dft_data">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.2023_neurips_challenge.challenge_eval.</span></span><span class="sig-name descname"><span class="pre">get_dft_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">targets</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.2023_neurips_challenge.challenge_eval.get_dft_data" title="Link to this definition">#</a></dt>
+<dd><p>Organizes the released target mapping for evaluation lookup.</p>
+<dl>
+<dt>Returns: Dict:</dt><dd><dl class="simple">
+<dt>{</dt><dd><p>‘system_id 1’: {‘config_id 1’: dft_ads_energy, ‘config_id 2’: dft_ads_energy},
+‘system_id 2’: {‘config_id 1’: dft_ads_energy, ‘config_id 2’: dft_ads_energy},
+…</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.2023_neurips_challenge.challenge_eval.process_ml_data">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.2023_neurips_challenge.challenge_eval.</span></span><span class="sig-name descname"><span class="pre">process_ml_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">results_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ml_dft_targets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dft_data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.2023_neurips_challenge.challenge_eval.process_ml_data" title="Link to this definition">#</a></dt>
+<dd><p>For ML systems in which no configurations made it through the physical
+constraint checks, set energies to an arbitrarily high value to ensure
+a failure case in evaluation.</p>
+<dl>
+<dt>Returns: Dict:</dt><dd><dl class="simple">
+<dt>{</dt><dd><p>‘system_id 1’: {‘config_id 1’: {‘ml_energy’: predicted energy, ‘ml+dft_energy’: dft energy of ML structure} …},
+‘system_id 2’: {‘config_id 1’: {‘ml_energy’: predicted energy, ‘ml+dft_energy’: dft energy of ML structure} …},
+…</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.2023_neurips_challenge.challenge_eval.parse_args">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.2023_neurips_challenge.challenge_eval.</span></span><span class="sig-name descname"><span class="pre">parse_args</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.2023_neurips_challenge.challenge_eval.parse_args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.2023_neurips_challenge.challenge_eval.main">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.2023_neurips_challenge.challenge_eval.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.2023_neurips_challenge.challenge_eval.main" title="Link to this definition">#</a></dt>
+<dd><p>This script takes in your prediction file (npz format)
+and the ML model name used for ML relaxations.
+Then using a mapping file, dft ground truth energy,
+and ML relaxed dft energy returns the success rate of your predictions.</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.is_successful"><code class="docutils literal notranslate"><span class="pre">is_successful()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.compute_valid_ml_success"><code class="docutils literal notranslate"><span class="pre">compute_valid_ml_success()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.get_dft_data"><code class="docutils literal notranslate"><span class="pre">get_dft_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.process_ml_data"><code class="docutils literal notranslate"><span class="pre">process_ml_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.2023_neurips_challenge.challenge_eval.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+    <h1>adsorbml.scripts.dense_eval</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.SUCCESS_THRESHOLD"><code class="docutils literal notranslate"><span class="pre">SUCCESS_THRESHOLD</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.is_successful"><code class="docutils literal notranslate"><span class="pre">is_successful()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.compute_hybrid_success"><code class="docutils literal notranslate"><span class="pre">compute_hybrid_success()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.compute_valid_ml_success"><code class="docutils literal notranslate"><span class="pre">compute_valid_ml_success()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.get_dft_data"><code class="docutils literal notranslate"><span class="pre">get_dft_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.get_dft_compute"><code class="docutils literal notranslate"><span class="pre">get_dft_compute()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.filter_ml_data"><code class="docutils literal notranslate"><span class="pre">filter_ml_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-adsorbml.scripts.dense_eval">
+<span id="adsorbml-scripts-dense-eval"></span><h1>adsorbml.scripts.dense_eval<a class="headerlink" href="#module-adsorbml.scripts.dense_eval" title="Link to this heading">#</a></h1>
+<p>AdsorbML evaluation script. This script expects the results-file to be
+organized in a very specific structure in order to evaluate successfully.</p>
+<p>Results are to be saved out in a dictionary pickle file, where keys are the
+<cite>system_id</cite> and the values are energies and compute information for a
+specified <cite>config_id</cite>. For each <cite>config_id</cite> that successfully passes the
+physical constraints defined in the manuscript, the following information must
+be provided:</p>
+<blockquote>
+<div><p>ml_energy: The ML predicted adsorption energy on that particular <cite>config_id</cite>.</p>
+<p>ml+dft_energy: The DFT adsorption energy (SP or RX) as evaluated on
+the predicted ML <cite>config_id</cite> structure. Do note use raw DFT energies,
+ensure these are referenced correctly. None if not available.</p>
+<p>scf_steps: Total number of SCF steps involved in determining the DFT
+adsorption energy on the predicted ML <cite>config_id</cite>. For relaxation
+methods (ML+RX), sum all SCF steps across all frames. 0 if not
+available.</p>
+<p>ionic_steps: Total number of ionic steps in determining the DFT
+adsorption energy on the predicted ML <cite>config_id</cite>. This will be 1 for
+single-point methods (ML+SP). 0 if not available.</p>
+</div></blockquote>
+<p>NOTE - It is possible that due to the required filtering of physical
+constraints, no configurations are valid for a particular <cite>system_id</cite>. In
+this case the  system or config id can be excluded entirely from the
+results file and will be treated as a failure point at evaluation time.</p>
+<dl>
+<dt>e.g.</dt><dd><dl>
+<dt>{</dt><dd><dl>
+<dt>“6_1134_23”:</dt><dd><dl>
+<dt>{</dt><dd><dl class="simple">
+<dt>“rand11”: {</dt><dd><p>“ml_energy”: -1.234,
+“ml+dft_energy”: -1.456,
+“scf_steps”: 33,
+“ionic_steps”: 1,</p>
+</dd>
+</dl>
+<p>},
+“rand5”: {</p>
+<blockquote>
+<div><p>“ml_energy”: -2.489,
+“ml+dft_energy”: -2.109,
+“scf_steps”: 16,
+“ionic_steps”: 1,</p>
+</div></blockquote>
+<p>},
+.
+.
+.</p>
+</dd>
+</dl>
+<p>},</p>
+</dd>
+<dt>“7_6566_62” :</dt><dd><dl>
+<dt>{</dt><dd><dl class="simple">
+<dt>“rand79”: {</dt><dd><p>“ml_energy”: -1.234,
+“ml+dft_energy”: -1.456,
+“scf_steps”: 33,
+“ionic_steps”: 1,</p>
+</dd>
+</dl>
+<p>},
+.
+.
+.</p>
+</dd>
+</dl>
+<p>},</p>
+</dd>
+</dl>
+<p>.</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.dense_eval.SUCCESS_THRESHOLD" title="adsorbml.scripts.dense_eval.SUCCESS_THRESHOLD"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SUCCESS_THRESHOLD</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.scripts.dense_eval.parser" title="adsorbml.scripts.dense_eval.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.dense_eval.is_successful" title="adsorbml.scripts.dense_eval.is_successful"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_successful</span></code></a>(best_ml_dft_energy, best_dft_energy)</p></td>
+<td><p>Computes the success rate given the best ML+DFT energy and the best ground</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.scripts.dense_eval.compute_hybrid_success" title="adsorbml.scripts.dense_eval.compute_hybrid_success"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_hybrid_success</span></code></a>(ml_data, dft_data, k)</p></td>
+<td><p>Computes AdsorbML success rates at varying top-k values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.dense_eval.compute_valid_ml_success" title="adsorbml.scripts.dense_eval.compute_valid_ml_success"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_valid_ml_success</span></code></a>(ml_data, dft_data)</p></td>
+<td><p>Computes validated ML success rates.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.scripts.dense_eval.get_dft_data" title="adsorbml.scripts.dense_eval.get_dft_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dft_data</span></code></a>(targets)</p></td>
+<td><p>Organizes the released target mapping for evaluation lookup.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.dense_eval.get_dft_compute" title="adsorbml.scripts.dense_eval.get_dft_compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dft_compute</span></code></a>(counts)</p></td>
+<td><p>Calculates the total DFT compute associated with establishing a ground</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.scripts.dense_eval.filter_ml_data" title="adsorbml.scripts.dense_eval.filter_ml_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">filter_ml_data</span></code></a>(ml_data, dft_data)</p></td>
+<td><p>For ML systems in which no configurations made it through the physical</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="adsorbml.scripts.dense_eval.SUCCESS_THRESHOLD">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.dense_eval.</span></span><span class="sig-name descname"><span class="pre">SUCCESS_THRESHOLD</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0.1</span></em><a class="headerlink" href="#adsorbml.scripts.dense_eval.SUCCESS_THRESHOLD" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.dense_eval.is_successful">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.dense_eval.</span></span><span class="sig-name descname"><span class="pre">is_successful</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">best_ml_dft_energy</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">best_dft_energy</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.dense_eval.is_successful" title="Link to this definition">#</a></dt>
+<dd><p>Computes the success rate given the best ML+DFT energy and the best ground
+truth DFT energy.</p>
+<p>success_parity: The standard definition for success, where ML needs to be
+within the SUCCESS_THRESHOLD, or lower, of the DFT energy.</p>
+<p>success_much_better: A system in which the ML energy is predicted to be
+much lower (less than the SUCCESS_THRESHOLD) of the DFT energy.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.dense_eval.compute_hybrid_success">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.dense_eval.</span></span><span class="sig-name descname"><span class="pre">compute_hybrid_success</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ml_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dft_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.dense_eval.compute_hybrid_success" title="Link to this definition">#</a></dt>
+<dd><p>Computes AdsorbML success rates at varying top-k values.
+Here, results are generated for the hybrid method, where the top-k ML
+energies are used to to run DFT on the corresponding ML structures. The
+resulting energies are then compared to the ground truth DFT energies.</p>
+<p>Return success rates and DFT compute usage at varying k.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.dense_eval.compute_valid_ml_success">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.dense_eval.</span></span><span class="sig-name descname"><span class="pre">compute_valid_ml_success</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ml_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dft_data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.dense_eval.compute_valid_ml_success" title="Link to this definition">#</a></dt>
+<dd><p>Computes validated ML success rates.
+Here, results are generated only from ML. DFT single-points are used to
+validate whether the ML energy is within 0.1eV of the DFT energy of the
+predicted structure. If valid, the ML energy is compared to the ground
+truth DFT energy, otherwise it is discarded.</p>
+<p>Return validated ML success rates.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.dense_eval.get_dft_data">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.dense_eval.</span></span><span class="sig-name descname"><span class="pre">get_dft_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">targets</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.dense_eval.get_dft_data" title="Link to this definition">#</a></dt>
+<dd><p>Organizes the released target mapping for evaluation lookup.</p>
+<dl>
+<dt>oc20dense_targets.pkl:</dt><dd><p>[‘system_id 1’: [(‘config_id 1’, dft_adsorption_energy), (‘config_id 2’, dft_adsorption_energy)], <a href="#id1"><span class="problematic" id="id2">`</span></a>system_id 2]</p>
+</dd>
+<dt>Returns: Dict:</dt><dd><dl class="simple">
+<dt>{</dt><dd><p>‘system_id 1’: {‘config_id 1’: dft_ads_energy, ‘config_id 2’: dft_ads_energy},
+‘system_id 2’: {‘config_id 1’: dft_ads_energy, ‘config_id 2’: dft_ads_energy},
+…</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.dense_eval.get_dft_compute">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.dense_eval.</span></span><span class="sig-name descname"><span class="pre">get_dft_compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">counts</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.dense_eval.get_dft_compute" title="Link to this definition">#</a></dt>
+<dd><p>Calculates the total DFT compute associated with establishing a ground
+truth using the released DFT timings: oc20dense_compute.pkl.</p>
+<p>Compute is measured in the total number of self-consistent steps (SC). The
+total number of ionic steps is also included for reference.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.dense_eval.filter_ml_data">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.dense_eval.</span></span><span class="sig-name descname"><span class="pre">filter_ml_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ml_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dft_data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.dense_eval.filter_ml_data" title="Link to this definition">#</a></dt>
+<dd><p>For ML systems in which no configurations made it through the physical
+constraint checks, set energies to an arbitrarily high value to ensure
+a failure case in evaluation.</p>
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="adsorbml.scripts.dense_eval.parser">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.dense_eval.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#adsorbml.scripts.dense_eval.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/adsorbml/scripts/dense_eval"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.SUCCESS_THRESHOLD"><code class="docutils literal notranslate"><span class="pre">SUCCESS_THRESHOLD</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.is_successful"><code class="docutils literal notranslate"><span class="pre">is_successful()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.compute_hybrid_success"><code class="docutils literal notranslate"><span class="pre">compute_hybrid_success()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.compute_valid_ml_success"><code class="docutils literal notranslate"><span class="pre">compute_valid_ml_success()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.get_dft_data"><code class="docutils literal notranslate"><span class="pre">get_dft_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.get_dft_compute"><code class="docutils literal notranslate"><span class="pre">get_dft_compute()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.filter_ml_data"><code class="docutils literal notranslate"><span class="pre">filter_ml_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.dense_eval.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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new file mode 100644
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+
+<!DOCTYPE html>
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+    <h1>adsorbml.scripts.process_mlrs</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.SURFACE_CHANGE_CUTOFF_MULTIPLIER"><code class="docutils literal notranslate"><span class="pre">SURFACE_CHANGE_CUTOFF_MULTIPLIER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.DESORPTION_CUTOFF_MULTIPLIER"><code class="docutils literal notranslate"><span class="pre">DESORPTION_CUTOFF_MULTIPLIER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.min_diff"><code class="docutils literal notranslate"><span class="pre">min_diff()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.process_mlrs"><code class="docutils literal notranslate"><span class="pre">process_mlrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.args"><code class="docutils literal notranslate"><span class="pre">args</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-adsorbml.scripts.process_mlrs">
+<span id="adsorbml-scripts-process-mlrs"></span><h1>adsorbml.scripts.process_mlrs<a class="headerlink" href="#module-adsorbml.scripts.process_mlrs" title="Link to this heading">#</a></h1>
+<p>This script processes ML relaxations and sets it up for the next step.
+- Reads final energy and structure for each relaxation
+- Filters out anomalies
+- Groups together all configurations for one adsorbate-surface system
+- Sorts configs by lowest energy first</p>
+<p>The following files are saved out:
+- cache_sorted_byE.pkl: dict going from the system ID (bulk, surface, adsorbate)</p>
+<blockquote>
+<div><p>to a list of configs and their relaxed structures, sorted by lowest energy first.
+This is later used by write_top_k_vasp.py.</p>
+</div></blockquote>
+<ul class="simple">
+<li><dl class="simple">
+<dt>anomalies_by_sid.pkl: dict going from integer sid to boolean representing</dt><dd><p>whether it was an anomaly. Anomalies are already excluded from cache_sorted_byE.pkl
+and this file is only used for extra analyses.</p>
+</dd>
+</dl>
+</li>
+<li><p>errors_by_sid.pkl: any errors that occurred</p></li>
+</ul>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.process_mlrs.SURFACE_CHANGE_CUTOFF_MULTIPLIER" title="adsorbml.scripts.process_mlrs.SURFACE_CHANGE_CUTOFF_MULTIPLIER"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SURFACE_CHANGE_CUTOFF_MULTIPLIER</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.scripts.process_mlrs.DESORPTION_CUTOFF_MULTIPLIER" title="adsorbml.scripts.process_mlrs.DESORPTION_CUTOFF_MULTIPLIER"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESORPTION_CUTOFF_MULTIPLIER</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.process_mlrs.args" title="adsorbml.scripts.process_mlrs.args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">args</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.process_mlrs.parse_args" title="adsorbml.scripts.process_mlrs.parse_args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_args</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.scripts.process_mlrs.min_diff" title="adsorbml.scripts.process_mlrs.min_diff"><code class="xref py py-obj docutils literal notranslate"><span class="pre">min_diff</span></code></a>(atoms_init, atoms_final)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.process_mlrs.process_mlrs" title="adsorbml.scripts.process_mlrs.process_mlrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">process_mlrs</span></code></a>(arg)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="adsorbml.scripts.process_mlrs.SURFACE_CHANGE_CUTOFF_MULTIPLIER">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.process_mlrs.</span></span><span class="sig-name descname"><span class="pre">SURFACE_CHANGE_CUTOFF_MULTIPLIER</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1.5</span></em><a class="headerlink" href="#adsorbml.scripts.process_mlrs.SURFACE_CHANGE_CUTOFF_MULTIPLIER" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="adsorbml.scripts.process_mlrs.DESORPTION_CUTOFF_MULTIPLIER">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.process_mlrs.</span></span><span class="sig-name descname"><span class="pre">DESORPTION_CUTOFF_MULTIPLIER</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1.5</span></em><a class="headerlink" href="#adsorbml.scripts.process_mlrs.DESORPTION_CUTOFF_MULTIPLIER" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.process_mlrs.parse_args">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.process_mlrs.</span></span><span class="sig-name descname"><span class="pre">parse_args</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.process_mlrs.parse_args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.process_mlrs.min_diff">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.process_mlrs.</span></span><span class="sig-name descname"><span class="pre">min_diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_init</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_final</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.process_mlrs.min_diff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.process_mlrs.process_mlrs">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.process_mlrs.</span></span><span class="sig-name descname"><span class="pre">process_mlrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arg</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.process_mlrs.process_mlrs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="adsorbml.scripts.process_mlrs.args">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.process_mlrs.</span></span><span class="sig-name descname"><span class="pre">args</span></span><a class="headerlink" href="#adsorbml.scripts.process_mlrs.args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/adsorbml/scripts/process_mlrs"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.SURFACE_CHANGE_CUTOFF_MULTIPLIER"><code class="docutils literal notranslate"><span class="pre">SURFACE_CHANGE_CUTOFF_MULTIPLIER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.DESORPTION_CUTOFF_MULTIPLIER"><code class="docutils literal notranslate"><span class="pre">DESORPTION_CUTOFF_MULTIPLIER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.min_diff"><code class="docutils literal notranslate"><span class="pre">min_diff()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.process_mlrs"><code class="docutils literal notranslate"><span class="pre">process_mlrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.process_mlrs.args"><code class="docutils literal notranslate"><span class="pre">args</span></code></a></li>
+</ul>
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+</ul>
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diff --git a/autoapi/adsorbml/scripts/utils/index.html b/autoapi/adsorbml/scripts/utils/index.html
new file mode 100644
index 0000000000..4098b9af75
--- /dev/null
+++ b/autoapi/adsorbml/scripts/utils/index.html
@@ -0,0 +1,800 @@
+
+<!DOCTYPE html>
+
+
+<html lang="en" data-content_root="../../../../" >
+
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
+
+    <title>adsorbml.scripts.utils</title>
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "";
+  </script>
+  <!--
+    this give us a css class that will be invisible only if js is disabled
+  -->
+  <noscript>
+    <style>
+      .pst-js-only { display: none !important; }
+
+    </style>
+  </noscript>
+  
+  <!-- Loaded before other Sphinx assets -->
+  <link href="../../../../_static/styles/theme.css?digest=8878045cc6db502f8baf" rel="stylesheet" />
+<link href="../../../../_static/styles/pydata-sphinx-theme.css?digest=8878045cc6db502f8baf" rel="stylesheet" />
+
+    <link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css?v=03e43079" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/styles/sphinx-book-theme.css?v=a3416100" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/togglebutton.css?v=13237357" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
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+    <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
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+  <script src="../../../../_static/scripts/fontawesome.js?digest=8878045cc6db502f8baf"></script>
+  <!-- Pre-loaded scripts that we'll load fully later -->
+  <link rel="preload" as="script" href="../../../../_static/scripts/bootstrap.js?digest=8878045cc6db502f8baf" />
+<link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8878045cc6db502f8baf" />
+
+    <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
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+    <script src="../../../../_static/togglebutton.js?v=4a39c7ea"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script src="../../../../_static/design-tabs.js?v=f930bc37"></script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script async="async" src="../../../../_static/sphinx-thebe.js?v=c100c467"></script>
+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'autoapi/adsorbml/scripts/utils/index';</script>
+    <link rel="index" title="Index" href="../../../../genindex.html" />
+    <link rel="search" title="Search" href="../../../../search.html" />
+  <meta name="viewport" content="width=device-width, initial-scale=1"/>
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+  <meta name="docsearch:version" content="" />
+  </head>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
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+      
+    </div>
+  
+</div>
+</div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>adsorbml.scripts.utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.utils.converged_oszicar"><code class="docutils literal notranslate"><span class="pre">converged_oszicar()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.utils.count_scf"><code class="docutils literal notranslate"><span class="pre">count_scf()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-adsorbml.scripts.utils">
+<span id="adsorbml-scripts-utils"></span><h1>adsorbml.scripts.utils<a class="headerlink" href="#module-adsorbml.scripts.utils" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.utils.converged_oszicar" title="adsorbml.scripts.utils.converged_oszicar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">converged_oszicar</span></code></a>(path[, nelm, ediff, idx])</p></td>
+<td><p>--- FOR VASP USERS ---</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.scripts.utils.count_scf" title="adsorbml.scripts.utils.count_scf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">count_scf</span></code></a>(path)</p></td>
+<td><p>--- FOR VASP USERS ---</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.utils.converged_oszicar">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.utils.</span></span><span class="sig-name descname"><span class="pre">converged_oszicar</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nelm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">60</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ediff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.utils.converged_oszicar" title="Link to this definition">#</a></dt>
+<dd><p>— FOR VASP USERS —</p>
+<p>Given a folder containing DFT outputs, ensures the system has converged
+electronically.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>path</strong> – Path to DFT outputs.</p></li>
+<li><p><strong>nelm</strong> – Maximum number of electronic steps used.</p></li>
+<li><p><strong>ediff</strong> – Energy difference condition for terminating the electronic loop.</p></li>
+<li><p><strong>idx</strong> – Frame to check for electronic convergence. 0 for SP, -1 for RX.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="adsorbml.scripts.utils.count_scf">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.utils.</span></span><span class="sig-name descname"><span class="pre">count_scf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#adsorbml.scripts.utils.count_scf" title="Link to this definition">#</a></dt>
+<dd><p>— FOR VASP USERS —</p>
+<p>Given a folder containing DFT outputs, compute total ionic and SCF steps</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>path</strong> – Path to DFT outputs.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Total number of electronic steps performed.
+ionic_steps (int): Total number of ionic steps performed.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>scf_steps (int)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/adsorbml/scripts/utils"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.utils.converged_oszicar"><code class="docutils literal notranslate"><span class="pre">converged_oszicar()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.utils.count_scf"><code class="docutils literal notranslate"><span class="pre">count_scf()</span></code></a></li>
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diff --git a/autoapi/adsorbml/scripts/write_top_k_vasp/index.html b/autoapi/adsorbml/scripts/write_top_k_vasp/index.html
new file mode 100644
index 0000000000..965bb1bf1d
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+
+<!DOCTYPE html>
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+<li class="toctree-l1"><a class="reference internal" href="../../../../core/intro_series.html">Why model atoms for climate?</a></li>
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+    <h1>adsorbml.scripts.write_top_k_vasp</h1>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.write_top_k_vasp.VASP_FLAGS"><code class="docutils literal notranslate"><span class="pre">VASP_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.write_top_k_vasp.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+  <section id="module-adsorbml.scripts.write_top_k_vasp">
+<span id="adsorbml-scripts-write-top-k-vasp"></span><h1>adsorbml.scripts.write_top_k_vasp<a class="headerlink" href="#module-adsorbml.scripts.write_top_k_vasp" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="#adsorbml.scripts.write_top_k_vasp.VASP_FLAGS" title="adsorbml.scripts.write_top_k_vasp.VASP_FLAGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VASP_FLAGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#adsorbml.scripts.write_top_k_vasp.parser" title="adsorbml.scripts.write_top_k_vasp.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="adsorbml.scripts.write_top_k_vasp.VASP_FLAGS">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.write_top_k_vasp.</span></span><span class="sig-name descname"><span class="pre">VASP_FLAGS</span></span><a class="headerlink" href="#adsorbml.scripts.write_top_k_vasp.VASP_FLAGS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="adsorbml.scripts.write_top_k_vasp.parser">
+<span class="sig-prename descclassname"><span class="pre">adsorbml.scripts.write_top_k_vasp.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#adsorbml.scripts.write_top_k_vasp.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbml.scripts.write_top_k_vasp.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame"><code class="docutils literal notranslate"><span class="pre">AutoFrame</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame.reorder_adsorbate"><code class="docutils literal notranslate"><span class="pre">AutoFrame.reorder_adsorbate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame.only_keep_unique_systems"><code class="docutils literal notranslate"><span class="pre">AutoFrame.only_keep_unique_systems()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame.get_most_proximate_symmetric_group"><code class="docutils literal notranslate"><span class="pre">AutoFrame.get_most_proximate_symmetric_group()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame.are_all_adsorbate_atoms_overlapping"><code class="docutils literal notranslate"><span class="pre">AutoFrame.are_all_adsorbate_atoms_overlapping()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.reaction"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.reaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.reactant1_systems"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.reactant1_systems</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_neb_frames"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.get_neb_frames()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_best_sites_for_product1"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.get_best_sites_for_product1()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_best_unique_sites_for_product2"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.get_best_unique_sites_for_product2()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_sites_within_r"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.get_sites_within_r()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.reaction"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.reaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.r_traverse_max"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.r_traverse_max</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.r_react_max"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.r_react_max</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.r_react_min"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.r_react_min</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.get_neb_frames"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.get_neb_frames()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_initial"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.get_system_pairs_initial()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_final"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.get_system_pairs_final()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDesorption"><code class="docutils literal notranslate"><span class="pre">AutoFrameDesorption</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDesorption.z_desorption"><code class="docutils literal notranslate"><span class="pre">AutoFrameDesorption.z_desorption</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDesorption.reaction"><code class="docutils literal notranslate"><span class="pre">AutoFrameDesorption.reaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDesorption.get_neb_frames"><code class="docutils literal notranslate"><span class="pre">AutoFrameDesorption.get_neb_frames()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.interpolate_and_correct_frames"><code class="docutils literal notranslate"><span class="pre">interpolate_and_correct_frames()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.get_shortest_path"><code class="docutils literal notranslate"><span class="pre">get_shortest_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.traverse_adsorbate_transfer"><code class="docutils literal notranslate"><span class="pre">traverse_adsorbate_transfer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.traverse_adsorbate_dissociation"><code class="docutils literal notranslate"><span class="pre">traverse_adsorbate_dissociation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.traverse_adsorbate_desorption"><code class="docutils literal notranslate"><span class="pre">traverse_adsorbate_desorption()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.get_product2_idx"><code class="docutils literal notranslate"><span class="pre">get_product2_idx()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.traverse_adsorbate_general"><code class="docutils literal notranslate"><span class="pre">traverse_adsorbate_general()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.unwrap_atoms"><code class="docutils literal notranslate"><span class="pre">unwrap_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.interpolate"><code class="docutils literal notranslate"><span class="pre">interpolate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.is_edge_list_respected"><code class="docutils literal notranslate"><span class="pre">is_edge_list_respected()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.reorder_edge_list"><code class="docutils literal notranslate"><span class="pre">reorder_edge_list()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.is_adsorbate_adsorbed"><code class="docutils literal notranslate"><span class="pre">is_adsorbate_adsorbed()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-cattsunami.core.autoframe">
+<span id="cattsunami-core-autoframe"></span><h1>cattsunami.core.autoframe<a class="headerlink" href="#module-cattsunami.core.autoframe" title="Link to this heading">#</a></h1>
+<p>Home of the AutoFrame classes which facillitate the generation of initial
+and final frames for NEB calculations.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.AutoFrame" title="cattsunami.core.autoframe.AutoFrame"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AutoFrame</span></code></a></p></td>
+<td><p>Base class to hold functions that are shared across the reaction types.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.AutoFrameDissociation" title="cattsunami.core.autoframe.AutoFrameDissociation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AutoFrameDissociation</span></code></a></p></td>
+<td><p>Base class to hold functions that are shared across the reaction types.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.AutoFrameTransfer" title="cattsunami.core.autoframe.AutoFrameTransfer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AutoFrameTransfer</span></code></a></p></td>
+<td><p>Base class to hold functions that are shared across the reaction types.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.AutoFrameDesorption" title="cattsunami.core.autoframe.AutoFrameDesorption"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AutoFrameDesorption</span></code></a></p></td>
+<td><p>Base class to hold functions that are shared across the reaction types.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.interpolate_and_correct_frames" title="cattsunami.core.autoframe.interpolate_and_correct_frames"><code class="xref py py-obj docutils literal notranslate"><span class="pre">interpolate_and_correct_frames</span></code></a>(initial, final, ...)</p></td>
+<td><p>Given the initial and final frames, perform the following:</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.get_shortest_path" title="cattsunami.core.autoframe.get_shortest_path"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_shortest_path</span></code></a>(initial, final)</p></td>
+<td><p>Find the shortest path for all atoms about pbc and reorient the final frame so the</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.traverse_adsorbate_transfer" title="cattsunami.core.autoframe.traverse_adsorbate_transfer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">traverse_adsorbate_transfer</span></code></a>(reaction, initial, final, ...)</p></td>
+<td><p>Traverse reactant 1, reactant 2, product 1 and product 2 in a depth first search of</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.traverse_adsorbate_dissociation" title="cattsunami.core.autoframe.traverse_adsorbate_dissociation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">traverse_adsorbate_dissociation</span></code></a>(reaction, initial, ...)</p></td>
+<td><p>Traverse reactant 1, product 1 and product 2 in a depth first search of</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.traverse_adsorbate_desorption" title="cattsunami.core.autoframe.traverse_adsorbate_desorption"><code class="xref py py-obj docutils literal notranslate"><span class="pre">traverse_adsorbate_desorption</span></code></a>(reaction, initial, ...)</p></td>
+<td><p>Traverse reactant 1 and  product 1 in a depth first search of</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.get_product2_idx" title="cattsunami.core.autoframe.get_product2_idx"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_product2_idx</span></code></a>(reaction, edge_list_final, ...)</p></td>
+<td><p>For dissociation only. Use the information about the initial edge list and final edge</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.traverse_adsorbate_general" title="cattsunami.core.autoframe.traverse_adsorbate_general"><code class="xref py py-obj docutils literal notranslate"><span class="pre">traverse_adsorbate_general</span></code></a>(traversal_rxt, slab_len, ...)</p></td>
+<td><p>Perform the traversal to reposition atoms so that the distance along bonds is</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.unwrap_atoms" title="cattsunami.core.autoframe.unwrap_atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unwrap_atoms</span></code></a>(initial, final, reaction, map_idx)</p></td>
+<td><p>Make corrections to the final frame so it is no longer wrapped around the cell,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.interpolate" title="cattsunami.core.autoframe.interpolate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">interpolate</span></code></a>(initial_frame, final_frame, num_frames)</p></td>
+<td><p>Interpolate between the initial and final frames starting with a linear interpolation</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.is_edge_list_respected" title="cattsunami.core.autoframe.is_edge_list_respected"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_edge_list_respected</span></code></a>(frame, edge_list)</p></td>
+<td><p>Check to see that the expected adsorbate-adsorbate edges are found and no additional</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.reorder_edge_list" title="cattsunami.core.autoframe.reorder_edge_list"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reorder_edge_list</span></code></a>(edge_list, mapping)</p></td>
+<td><p>For the final edge list, apply the mapping so the edges correspond to the correctly</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.core.autoframe.is_adsorbate_adsorbed" title="cattsunami.core.autoframe.is_adsorbate_adsorbed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_adsorbate_adsorbed</span></code></a>(adsorbate_slab_config)</p></td>
+<td><p>Check to see if the adsorbate is adsorbed on the surface.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrame">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">AutoFrame</span></span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrame" title="Link to this definition">#</a></dt>
+<dd><p>Base class to hold functions that are shared across the reaction types.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrame.reorder_adsorbate">
+<span class="sig-name descname"><span class="pre">reorder_adsorbate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_mapping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrame.reorder_adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Given the adsorbate mapping, reorder the adsorbate atoms in the final frame so that
+they match the initial frame to facillitate proper interpolation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>frame</strong> (<em>ase.Atoms</em>) – the atoms object for which the adsorbate will be reordered</p></li>
+<li><p><strong>idx_mapping</strong> (<em>dict</em>) – the index mapping to reorder things</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the reordered adsorbate-slab configuration</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrame.only_keep_unique_systems">
+<span class="sig-name descname"><span class="pre">only_keep_unique_systems</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">systems</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energies</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrame.only_keep_unique_systems" title="Link to this definition">#</a></dt>
+<dd><p>Remove duplicate systems from <cite>systems</cite> and <cite>energies</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>systems</strong> (<em>list</em><em>[</em><em>ase.Atoms</em><em>]</em>) – the systems to remove duplicates from</p></li>
+<li><p><strong>energies</strong> (<em>list</em><em>[</em><em>float</em><em>]</em>) – the energies to remove duplicates from</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the systems with duplicates removed
+list[float]: the energies with duplicates removed</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list[ase.Atoms]</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrame.get_most_proximate_symmetric_group">
+<span class="sig-name descname"><span class="pre">get_most_proximate_symmetric_group</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrame.get_most_proximate_symmetric_group" title="Link to this definition">#</a></dt>
+<dd><p>For cases where the adsorbate has symmetry and the leaving group could be different
+atoms / sets of atoms, determine which one make the most sense given the geometry of
+the initial and final frames. This is done by minimizing the total distance traveled
+by all atoms from initial to final frame.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>initial</strong> (<em>ase.Atoms</em>) – the initial adsorbate-surface configuration</p></li>
+<li><p><strong>frame</strong> (<em>ase.Atoms</em>) – the final adsorbate-surface configuration being considered.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the mapping to be used which specifies the most apt leaving group
+int: the index of the mapping to be used</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrame.are_all_adsorbate_atoms_overlapping">
+<span class="sig-name descname"><span class="pre">are_all_adsorbate_atoms_overlapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrame.are_all_adsorbate_atoms_overlapping" title="Link to this definition">#</a></dt>
+<dd><p>Test to see if all the adsorbate atoms are intersecting to find unique structures.
+Systems where they are overlapping are considered the same.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate1</strong> (<em>ase.Atoms</em>) – just the adsorbate atoms of a structure that is being
+compared</p></li>
+<li><p><strong>adsorbate2</strong> (<em>ase.Atoms</em>) – just the adsorbate atoms of the other structure that
+is being compared</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>True if all adsorbate atoms are overlapping (structure is a match)</dt><dd><p>False if one or more of the adsorbate atoms do not overlap</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDissociation">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">AutoFrameDissociation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.applications.cattsunami.core.Reaction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reactant_system</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product1_systems</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product1_energies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product2_systems</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product2_energies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_product1_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_product2_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_product2_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDissociation" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#cattsunami.core.autoframe.AutoFrame" title="cattsunami.core.autoframe.AutoFrame"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AutoFrame</span></code></a></p>
+<p>Base class to hold functions that are shared across the reaction types.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDissociation.reaction">
+<span class="sig-name descname"><span class="pre">reaction</span></span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDissociation.reaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDissociation.reactant1_systems">
+<span class="sig-name descname"><span class="pre">reactant1_systems</span></span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDissociation.reactant1_systems" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDissociation.get_neb_frames">
+<span class="sig-name descname"><span class="pre">get_neb_frames</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">calculator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_pdt1_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_pdt2_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">200</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_neb_frames" title="Link to this definition">#</a></dt>
+<dd><p>Propose final frames for NEB calculations. Perform a relaxation on the final
+frame using the calculator provided. Interpolate between the initial
+and final frames for a proposed reaction trajectory. Correct the trajectory if
+there is any atomic overlap.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>calculator</strong> – an ase compatible calculator to be used to relax the final frame.</p></li>
+<li><p><strong>n_frames</strong> (<em>int</em>) – the number of frames per reaction trajectory</p></li>
+<li><p><strong>n_pdt1_sites</strong> (<em>int</em>) – The number of product 1 sites to consider</p></li>
+<li><p><strong>n_pdt2_sites</strong> (<em>int</em>) – The number of product 2 sites to consider. Note this is
+multiplicative with <cite>n_pdt1_sites</cite> (i.e. if <cite>n_pdt1_sites</cite> = 2 and
+<cite>n_pdt2_sites</cite> = 3 then a total of 6 final frames will be proposed)</p></li>
+<li><p><strong>fmax</strong> (<em>float</em>) – force convergence criterion for final frame optimization</p></li>
+<li><p><strong>steps</strong> (<em>int</em>) – step number termination criterion for final frame optimization</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the initial reaction coordinates</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list[lists]</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDissociation.get_best_sites_for_product1">
+<span class="sig-name descname"><span class="pre">get_best_sites_for_product1</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_best_sites_for_product1" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper to find product 1 placements to be considered for the final frame
+of the NEB.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>n_sites</strong> (<em>int</em>) – The number of sites for product 1 to consider. Notice this is
+multiplicative with product 2 sites (i.e. if 2 is specified here and 3 there)
+then a total of 6 initial and final frames will be considered.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>the lowest energy, proximate placements of product</dt><dd><p>1 to be used in the final NEB frames</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(list[ase.Atoms])</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDissociation.get_best_unique_sites_for_product2">
+<span class="sig-name descname"><span class="pre">get_best_unique_sites_for_product2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">product1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_best_unique_sites_for_product2" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper to find product 2 placements to be considered for the final frame
+of the NEB.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>product1</strong> (<em>ase.Atoms</em>) – The atoms object of the product 1 placement that will be
+considered in this function to search for product 1 + product 2 combinations
+for the final frame.</p></li>
+<li><p><strong>n_sites</strong> (<em>int</em>) – The number of sites for product 1 to consider. Notice this is
+multiplicative with product 2 sites (i.e. if 2 is specified here and 3 there)
+then a total of 6 initial and final frames will be considered.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>the lowest energy, proximate placements of product</dt><dd><p>2 to be used in the final NEB frames</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(list[ase.Atoms])</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDissociation.get_sites_within_r">
+<span class="sig-name descname"><span class="pre">get_sites_within_r</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">center_coordinate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">all_systems</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">all_system_energies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">all_systems_binding_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_radius_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_radius_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_sites_within_r" title="Link to this definition">#</a></dt>
+<dd><p>Get the n lowest energy, sites of the systems within r. For now n is
+5 or &lt; 5 if there are fewer than 5 unique sites within r.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>center_coordinate</strong> (<em>np.ndarray</em>) – the coordinate about which r should be
+centered.</p></li>
+<li><p><strong>all_systems</strong> (<em>list</em>) – the list of all systems to be assessed for their
+uniqueness and proximity to the center coordinate.</p></li>
+<li><p><strong>all_systems_binding_idx</strong> (<em>int</em>) – the idx of the adsorbate atom that is
+bound in <cite>all_systems</cite></p></li>
+<li><p><strong>allowed_radius_max</strong> (<em>float</em>) – the outer radius about <cite>center_coordinate</cite>
+in which the adsorbate must lie to be considered.</p></li>
+<li><p><strong>allowed_radius_min</strong> (<em>float</em>) – the inner radius about <cite>center_coordinate</cite>
+which the adsorbate must lie outside of to be considered.</p></li>
+<li><p><strong>n_sites</strong> (<em>int</em>) – the number of unique sites in r that will be chosen.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>list of systems identified as candidates.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(list[ase.Atoms])</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameTransfer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">AutoFrameTransfer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.applications.cattsunami.core.Reaction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reactant1_systems</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reactant2_systems</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reactant1_energies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reactant2_energies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product1_systems</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product1_energies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product2_systems</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product2_energies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_traverse_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_react_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_react_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameTransfer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#cattsunami.core.autoframe.AutoFrame" title="cattsunami.core.autoframe.AutoFrame"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AutoFrame</span></code></a></p>
+<p>Base class to hold functions that are shared across the reaction types.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameTransfer.reaction">
+<span class="sig-name descname"><span class="pre">reaction</span></span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameTransfer.reaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameTransfer.r_traverse_max">
+<span class="sig-name descname"><span class="pre">r_traverse_max</span></span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameTransfer.r_traverse_max" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameTransfer.r_react_max">
+<span class="sig-name descname"><span class="pre">r_react_max</span></span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameTransfer.r_react_max" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameTransfer.r_react_min">
+<span class="sig-name descname"><span class="pre">r_react_min</span></span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameTransfer.r_react_min" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameTransfer.get_neb_frames">
+<span class="sig-name descname"><span class="pre">get_neb_frames</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">calculator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_initial_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_final_frames_per_initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">200</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameTransfer.get_neb_frames" title="Link to this definition">#</a></dt>
+<dd><p>Propose final frames for NEB calculations. Perform a relaxation on the final
+frame using the calculator provided. Linearly interpolate between the initial
+and final frames for a proposed reaction trajectory. Correct the trajectory if
+there is any atomic overlap.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>calculator</strong> – an ase compatible calculator to be used to relax the initial and
+final frames.</p></li>
+<li><p><strong>n_frames</strong> (<em>int</em>) – the number of frames per reaction trajectory</p></li>
+<li><p><strong>n_initial_frames</strong> (<em>int</em>) – The number of initial frames to consider</p></li>
+<li><p><strong>n_final_frames_per_initial</strong> (<em>int</em>) – The number of final frames per inital frame to consider</p></li>
+<li><p><strong>fmax</strong> (<em>float</em>) – force convergence criterion for final frame optimization</p></li>
+<li><p><strong>steps</strong> (<em>int</em>) – step number termination criterion for final frame optimization</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the initial reaction coordinates</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list[lists]</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_initial">
+<span class="sig-name descname"><span class="pre">get_system_pairs_initial</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_initial" title="Link to this definition">#</a></dt>
+<dd><p>Get the initial frames for the NEB. This is done by finding the closest
+pair of systems from <cite>systems1</cite> and <cite>systems2</cite> for which the interstitial distance
+between all adsorbate atoms is less than <cite>rmax</cite> and greater than <cite>rmin</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><p>the initial frames for the NEB
+list[float]: the pseudo energies of the initial frames (i.e just the sum of the</p>
+<blockquote>
+<div><p>individual adsorption energies)</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>list[ase.Atoms]</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_final">
+<span class="sig-name descname"><span class="pre">get_system_pairs_final</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system1_coord</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">system2_coord</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_final" title="Link to this definition">#</a></dt>
+<dd><p>Get the final frames for the NEB. This is done by finding the closest
+pair of systems from <cite>systems1</cite> and <cite>systems2</cite> for which the distance
+traversed by the adsorbate from the initial frame to the final frame is
+less than <cite>rmax</cite> and the minimum interstitial distance between the two
+products in greater than <cite>rmin</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>the initial frames for the NEB
+list[float]: the pseudo energies of the initial frames</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>list[ase.Atoms]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDesorption">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">AutoFrameDesorption</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.applications.cattsunami.core.Reaction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reactant_systems</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reactant_energies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">z_desorption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDesorption" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#cattsunami.core.autoframe.AutoFrame" title="cattsunami.core.autoframe.AutoFrame"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AutoFrame</span></code></a></p>
+<p>Base class to hold functions that are shared across the reaction types.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDesorption.z_desorption">
+<span class="sig-name descname"><span class="pre">z_desorption</span></span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDesorption.z_desorption" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDesorption.reaction">
+<span class="sig-name descname"><span class="pre">reaction</span></span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDesorption.reaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.AutoFrameDesorption.get_neb_frames">
+<span class="sig-name descname"><span class="pre">get_neb_frames</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">calculator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_systems</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">200</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.AutoFrameDesorption.get_neb_frames" title="Link to this definition">#</a></dt>
+<dd><p>Propose final frames for NEB calculations. Perform a relaxation on the final
+frame using the calculator provided. Linearly interpolate between the initial
+and final frames for a proposed reaction trajectory. Correct the trajectory if
+there is any atomic overlap.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>calculator</strong> – an ase compatible calculator to be used to relax the final frame.</p></li>
+<li><p><strong>n_frames</strong> (<em>int</em>) – the number of frames per reaction trajectory</p></li>
+<li><p><strong>n_pdt1_sites</strong> (<em>int</em>) – The number of product 1 sites to consider</p></li>
+<li><p><strong>n_pdt2_sites</strong> (<em>int</em>) – The number of product 2 sites to consider. Note this is
+multiplicative with <cite>n_pdt1_sites</cite> (i.e. if <cite>n_pdt1_sites</cite> = 2 and
+<cite>n_pdt2_sites</cite> = 3 then a total of 6 final frames will be proposed)</p></li>
+<li><p><strong>fmax</strong> (<em>float</em>) – force convergence criterion for final frame optimization</p></li>
+<li><p><strong>steps</strong> (<em>int</em>) – step number termination criterion for final frame optimization</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the initial reaction coordinates</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list[lists]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.interpolate_and_correct_frames">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">interpolate_and_correct_frames</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.applications.cattsunami.core.Reaction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">map_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.interpolate_and_correct_frames" title="Link to this definition">#</a></dt>
+<dd><p>Given the initial and final frames, perform the following:
+(1) Unwrap the final frame if it is wrapped around the cell
+(2) Interpolate between the initial and final frames</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>initial</strong> (<em>ase.Atoms</em>) – the initial frame of the NEB</p></li>
+<li><p><strong>final</strong> (<em>ase.Atoms</em>) – the proposed final frame of the NEB</p></li>
+<li><p><strong>n_frames</strong> (<em>int</em>) – The desired number of frames for the NEB (not including initial and final)</p></li>
+<li><p><strong>reaction</strong> (<a class="reference internal" href="../index.html#cattsunami.core.Reaction" title="cattsunami.core.Reaction"><em>Reaction</em></a>) – the reaction object which provides pertinent info</p></li>
+<li><p><strong>map_idx</strong> (<em>int</em>) – the index of the mapping to use for the final frame</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.get_shortest_path">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">get_shortest_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.get_shortest_path" title="Link to this definition">#</a></dt>
+<dd><p>Find the shortest path for all atoms about pbc and reorient the final frame so the
+atoms align with this shortest path. This allows us to perform a linear interpolation
+that does not interpolate jumps across pbc.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>initial</strong> (<em>ase.Atoms</em>) – the initial frame of the NEB</p></li>
+<li><p><strong>final</strong> (<em>ase.Atoms</em>) – the proposed final frame of the NEB to be corrected</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the corrected final frame
+(ase.Atoms): the initial frame tiled (3,3,1), which is used it later steps
+(ase.Atoms): the final frame tiled (3,3,1), which is used it later steps</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(ase.Atoms)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.traverse_adsorbate_transfer">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">traverse_adsorbate_transfer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.applications.cattsunami.core.Reaction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initial_tiled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final_tiled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_list_final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.traverse_adsorbate_transfer" title="Link to this definition">#</a></dt>
+<dd><p>Traverse reactant 1, reactant 2, product 1 and product 2 in a depth first search of
+the bond graph. Unwrap the atoms to minimize the distance over the bonds. This ensures
+that when we perform the linear interpolation, the adsorbate moves as a single moity
+and avoids accidental bond breaking events over pbc.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>reaction</strong> (<a class="reference internal" href="../index.html#cattsunami.core.Reaction" title="cattsunami.core.Reaction"><em>Reaction</em></a>) – the reaction object which provides pertinent info</p></li>
+<li><p><strong>initial</strong> (<em>ase.Atoms</em>) – the initial frame of the NEB</p></li>
+<li><p><strong>final</strong> (<em>ase.Atoms</em>) – the proposed final frame of the NEB to be corrected</p></li>
+<li><p><strong>initial_tiled</strong> (<em>ase.Atoms</em>) – the initial frame tiled (3,3,1)</p></li>
+<li><p><strong>final_tiled</strong> (<em>ase.Atoms</em>) – the final frame tiled (3,3,1)</p></li>
+<li><p><strong>edge_list_final</strong> (<em>list</em>) – the edge list of the final frame corrected with mapping
+idx changes</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the corrected initial frame
+(ase.Atoms): the corrected final frame</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(ase.Atoms)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.traverse_adsorbate_dissociation">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">traverse_adsorbate_dissociation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.applications.cattsunami.core.Reaction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initial_tiled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final_tiled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_list_final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.traverse_adsorbate_dissociation" title="Link to this definition">#</a></dt>
+<dd><p>Traverse reactant 1, product 1 and product 2 in a depth first search of
+the bond graph. Unwrap the atoms to minimize the distance over the bonds. This ensures
+that when we perform the linear interpolation, the adsorbate moves as a single moity
+and avoids accidental bond breaking events over pbc.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>reaction</strong> (<a class="reference internal" href="../index.html#cattsunami.core.Reaction" title="cattsunami.core.Reaction"><em>Reaction</em></a>) – the reaction object which provides pertinent info</p></li>
+<li><p><strong>initial</strong> (<em>ase.Atoms</em>) – the initial frame of the NEB</p></li>
+<li><p><strong>final</strong> (<em>ase.Atoms</em>) – the proposed final frame of the NEB to be corrected</p></li>
+<li><p><strong>initial_tiled</strong> (<em>ase.Atoms</em>) – the initial frame tiled (3,3,1)</p></li>
+<li><p><strong>final_tiled</strong> (<em>ase.Atoms</em>) – the final frame tiled (3,3,1)</p></li>
+<li><p><strong>edge_list_final</strong> (<em>list</em>) – the edge list of the final frame corrected with mapping
+idx changes</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the corrected initial frame
+(ase.Atoms): the corrected final frame</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(ase.Atoms)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.traverse_adsorbate_desorption">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">traverse_adsorbate_desorption</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.applications.cattsunami.core.Reaction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initial_tiled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final_tiled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.traverse_adsorbate_desorption" title="Link to this definition">#</a></dt>
+<dd><p>Traverse reactant 1 and  product 1 in a depth first search of
+the bond graph. Unwrap the atoms to minimize the distance over the bonds. This ensures
+that when we perform the linear interpolation, the adsorbate moves as a single moity
+and avoids accidental bond breaking events over pbc.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>reaction</strong> (<a class="reference internal" href="../index.html#cattsunami.core.Reaction" title="cattsunami.core.Reaction"><em>Reaction</em></a>) – the reaction object which provides pertinent info</p></li>
+<li><p><strong>initial</strong> (<em>ase.Atoms</em>) – the initial frame of the NEB</p></li>
+<li><p><strong>final</strong> (<em>ase.Atoms</em>) – the proposed final frame of the NEB to be corrected</p></li>
+<li><p><strong>initial_tiled</strong> (<em>ase.Atoms</em>) – the initial frame tiled (3,3,1)</p></li>
+<li><p><strong>final_tiled</strong> (<em>ase.Atoms</em>) – the final frame tiled (3,3,1)</p></li>
+<li><p><strong>edge_list_final</strong> (<em>list</em>) – the edge list of the final frame corrected with mapping
+idx changes</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the corrected initial frame
+(ase.Atoms): the corrected final frame</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(ase.Atoms)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.get_product2_idx">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">get_product2_idx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.applications.cattsunami.core.Reaction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_list_final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">traversal_rxt1_final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.get_product2_idx" title="Link to this definition">#</a></dt>
+<dd><p>For dissociation only. Use the information about the initial edge list and final edge
+list to determine which atom in product 2 lost a bond in the reaction and use this
+as the binding index for traversal in <cite>traverse_adsorbate_dissociation</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>reaction</strong> (<a class="reference internal" href="../index.html#cattsunami.core.Reaction" title="cattsunami.core.Reaction"><em>Reaction</em></a>) – the reaction object which provides pertinent info</p></li>
+<li><p><strong>edge_list_final</strong> (<em>list</em>) – the edge list of the final frame corrected with mapping
+idx changes</p></li>
+<li><p><strong>traversal_rxt1_final</strong> (<em>list</em>) – the traversal of reactant 1 for the final frame</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the binding index of product 2</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(int)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.traverse_adsorbate_general">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">traverse_adsorbate_general</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">traversal_rxt</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_len</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">starting_node_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">equivalent_idx_factors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_tiled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.traverse_adsorbate_general" title="Link to this definition">#</a></dt>
+<dd><p>Perform the traversal to reposition atoms so that the distance along bonds is
+minimized.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>traversal_rxt</strong> (<em>list</em>) – the traversal of the adsorbate to be traversed. It is
+the list of edges ordered by depth first search.</p></li>
+<li><p><strong>slab_len</strong> (<em>int</em>) – the number of atoms in the slab</p></li>
+<li><p><strong>starting_node_idx</strong> (<em>int</em>) – the index of the atom to start the traversal from</p></li>
+<li><p><strong>equivalent_idx_factors</strong> (<em>np.ndarray</em>) – the values to add to the untiled index
+which gives equivalent indices (i.e. copies of that atom in the tiled system)</p></li>
+<li><p><strong>frame</strong> (<em>ase.Atoms</em>) – the frame to be corrected</p></li>
+<li><p><strong>frame_tiled</strong> (<em>ase.Atoms</em>) – the tiled (3,3,1) version of the frame which will be
+corrected</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the corrected frame</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(ase.Atoms)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.unwrap_atoms">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">unwrap_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.applications.cattsunami.core.Reaction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">map_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.unwrap_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Make corrections to the final frame so it is no longer wrapped around the cell,
+if it has jumpped over the pbc. Ensure that for each adsorbate moity, absolute bond distances
+for all edges that exist in the initial and final frames are minimize regardles of cell location.
+This enforces the traversal of the adsorbates happens along the same path, which is not
+necessarily the minimum distance path for each atom. Changes are made in place.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>initial</strong> (<em>ase.Atoms</em>) – the initial atoms object to which the final atoms should
+be proximate</p></li>
+<li><p><strong>final</strong> (<em>ase.Atoms</em>) – the final atoms object to be corrected</p></li>
+<li><p><strong>reaction</strong> (<a class="reference internal" href="../index.html#cattsunami.core.Reaction" title="cattsunami.core.Reaction"><em>Reaction</em></a>) – the reaction object which provides pertinent info</p></li>
+<li><p><strong>map_idx</strong> (<em>int</em>) – the index of the mapping to use for the final frame</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.interpolate">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">interpolate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initial_frame</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final_frame</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.interpolate" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate between the initial and final frames starting with a linear interpolation
+along the atom-wise vectors from initial to final. Then iteratively correct the
+positions so atomic overlap is avoided/ reduced. When iteratively updating, the
+positions of adjacent frames are considered to avoid large jumps in the trajectory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>initial_frame</strong> (<em>ase.Atoms</em>) – the initial frame which will be interpolated from</p></li>
+<li><p><strong>final_frame</strong> (<em>ase.Atoms</em>) – the final frame which will be interpolated to</p></li>
+<li><p><strong>num_frames</strong> (<em>int</em>) – the number of frames to be interpolated between the initial</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the interpolated frames</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(list[ase.Atoms])</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.is_edge_list_respected">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">is_edge_list_respected</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.is_edge_list_respected" title="Link to this definition">#</a></dt>
+<dd><p>Check to see that the expected adsorbate-adsorbate edges are found and no additional
+edges exist between the adsorbate atoms.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>frame</strong> (<em>ase.Atoms</em>) – the atoms object for which edges will be checked.
+This must comply with ocp tagging conventions.</p></li>
+<li><p><strong>edge_list</strong> (<em>list</em><em>[</em><em>tuples</em><em>]</em>) – The expected edges</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.reorder_edge_list">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">reorder_edge_list</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.reorder_edge_list" title="Link to this definition">#</a></dt>
+<dd><p>For the final edge list, apply the mapping so the edges correspond to the correctly
+concatenated object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>edge_list</strong> (<em>list</em><em>[</em><em>tuples</em><em>]</em>) – the final edgelist</p></li>
+<li><p><strong>mapping</strong> – the mapping so the final atoms concatenated have indices that correctly map
+to the initial atoms.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.core.autoframe.is_adsorbate_adsorbed">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.core.autoframe.</span></span><span class="sig-name descname"><span class="pre">is_adsorbate_adsorbed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_slab_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.autoframe.is_adsorbate_adsorbed" title="Link to this definition">#</a></dt>
+<dd><p>Check to see if the adsorbate is adsorbed on the surface.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>adsorbate_slab_config</strong> (<em>ase.Atoms</em>) – the combined adsorbate and slab configuration
+with adsorbate atoms tagged as 2s and surface atoms tagged as 1s.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>True if the adsorbate is adsorbed, False otherwise.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
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+        },
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+            mode: "python"
+        },
+        kernelOptions: {
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+            path: "./autoapi/cattsunami/core/autoframe"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame"><code class="docutils literal notranslate"><span class="pre">AutoFrame</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame.reorder_adsorbate"><code class="docutils literal notranslate"><span class="pre">AutoFrame.reorder_adsorbate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame.only_keep_unique_systems"><code class="docutils literal notranslate"><span class="pre">AutoFrame.only_keep_unique_systems()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame.get_most_proximate_symmetric_group"><code class="docutils literal notranslate"><span class="pre">AutoFrame.get_most_proximate_symmetric_group()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrame.are_all_adsorbate_atoms_overlapping"><code class="docutils literal notranslate"><span class="pre">AutoFrame.are_all_adsorbate_atoms_overlapping()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.reaction"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.reaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.reactant1_systems"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.reactant1_systems</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_neb_frames"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.get_neb_frames()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_best_sites_for_product1"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.get_best_sites_for_product1()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_best_unique_sites_for_product2"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.get_best_unique_sites_for_product2()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDissociation.get_sites_within_r"><code class="docutils literal notranslate"><span class="pre">AutoFrameDissociation.get_sites_within_r()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.reaction"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.reaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.r_traverse_max"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.r_traverse_max</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.r_react_max"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.r_react_max</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.r_react_min"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.r_react_min</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.get_neb_frames"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.get_neb_frames()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_initial"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.get_system_pairs_initial()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_final"><code class="docutils literal notranslate"><span class="pre">AutoFrameTransfer.get_system_pairs_final()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDesorption"><code class="docutils literal notranslate"><span class="pre">AutoFrameDesorption</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDesorption.z_desorption"><code class="docutils literal notranslate"><span class="pre">AutoFrameDesorption.z_desorption</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDesorption.reaction"><code class="docutils literal notranslate"><span class="pre">AutoFrameDesorption.reaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.AutoFrameDesorption.get_neb_frames"><code class="docutils literal notranslate"><span class="pre">AutoFrameDesorption.get_neb_frames()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.interpolate_and_correct_frames"><code class="docutils literal notranslate"><span class="pre">interpolate_and_correct_frames()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.get_shortest_path"><code class="docutils literal notranslate"><span class="pre">get_shortest_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.traverse_adsorbate_transfer"><code class="docutils literal notranslate"><span class="pre">traverse_adsorbate_transfer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.autoframe.traverse_adsorbate_dissociation"><code class="docutils literal notranslate"><span class="pre">traverse_adsorbate_dissociation()</span></code></a></li>
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+</details></li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../../../execution_time.html">Notebook execution times</a></li>
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+    <h1>cattsunami.core</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB"><code class="docutils literal notranslate"><span class="pre">OCPNEB</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.batch_size"><code class="docutils literal notranslate"><span class="pre">OCPNEB.batch_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.trainer"><code class="docutils literal notranslate"><span class="pre">OCPNEB.trainer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.a2g"><code class="docutils literal notranslate"><span class="pre">OCPNEB.a2g</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.intermediate_energies"><code class="docutils literal notranslate"><span class="pre">OCPNEB.intermediate_energies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.intermediate_forces"><code class="docutils literal notranslate"><span class="pre">OCPNEB.intermediate_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.cached"><code class="docutils literal notranslate"><span class="pre">OCPNEB.cached</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">OCPNEB.load_checkpoint()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.get_forces"><code class="docutils literal notranslate"><span class="pre">OCPNEB.get_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.set_positions"><code class="docutils literal notranslate"><span class="pre">OCPNEB.set_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.get_precon_forces"><code class="docutils literal notranslate"><span class="pre">OCPNEB.get_precon_forces()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.Reaction"><code class="docutils literal notranslate"><span class="pre">Reaction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.Reaction.reaction_db_path"><code class="docutils literal notranslate"><span class="pre">Reaction.reaction_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.Reaction.get_desorption_mapping"><code class="docutils literal notranslate"><span class="pre">Reaction.get_desorption_mapping()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-cattsunami.core">
+<span id="cattsunami-core"></span><h1>cattsunami.core<a class="headerlink" href="#module-cattsunami.core" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l1"><a class="reference internal" href="ocpneb/index.html">cattsunami.core.ocpneb</a></li>
+<li class="toctree-l1"><a class="reference internal" href="reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.OCPNEB" title="cattsunami.core.OCPNEB"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OCPNEB</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.core.Reaction" title="cattsunami.core.Reaction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Reaction</span></code></a></p></td>
+<td><p>Initialize Reaction object</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">cattsunami.core.</span></span><span class="sig-name descname"><span class="pre">OCPNEB</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">images</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">climb</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_rotation_and_translation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">world</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dynamic_relaxation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_fmax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'aseneb'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allow_shared_calculator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">precon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.OCPNEB" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">ase.neb.DyNEB</span></code></p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.batch_size">
+<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#cattsunami.core.OCPNEB.batch_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.trainer">
+<span class="sig-name descname"><span class="pre">trainer</span></span><a class="headerlink" href="#cattsunami.core.OCPNEB.trainer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.a2g">
+<span class="sig-name descname"><span class="pre">a2g</span></span><a class="headerlink" href="#cattsunami.core.OCPNEB.a2g" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.intermediate_energies">
+<span class="sig-name descname"><span class="pre">intermediate_energies</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#cattsunami.core.OCPNEB.intermediate_energies" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.intermediate_forces">
+<span class="sig-name descname"><span class="pre">intermediate_forces</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#cattsunami.core.OCPNEB.intermediate_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.cached">
+<span class="sig-name descname"><span class="pre">cached</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#cattsunami.core.OCPNEB.cached" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.load_checkpoint">
+<span class="sig-name descname"><span class="pre">load_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#cattsunami.core.OCPNEB.load_checkpoint" title="Link to this definition">#</a></dt>
+<dd><p>Load existing trained model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>checkpoint_path</strong> – string
+Path to trained model</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.get_forces">
+<span class="sig-name descname"><span class="pre">get_forces</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.OCPNEB.get_forces" title="Link to this definition">#</a></dt>
+<dd><p>Evaluate and return the forces.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.set_positions">
+<span class="sig-name descname"><span class="pre">set_positions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">positions</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.OCPNEB.set_positions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.OCPNEB.get_precon_forces">
+<span class="sig-name descname"><span class="pre">get_precon_forces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">forces</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energies</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">images</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.OCPNEB.get_precon_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="cattsunami.core.Reaction">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">cattsunami.core.</span></span><span class="sig-name descname"><span class="pre">Reaction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reaction_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reaction_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reaction_str_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reaction_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.Reaction" title="Link to this definition">#</a></dt>
+<dd><p>Initialize Reaction object</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.Reaction.reaction_db_path">
+<span class="sig-name descname"><span class="pre">reaction_db_path</span></span><a class="headerlink" href="#cattsunami.core.Reaction.reaction_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.Reaction.get_desorption_mapping">
+<span class="sig-name descname"><span class="pre">get_desorption_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reactant</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.Reaction.get_desorption_mapping" title="Link to this definition">#</a></dt>
+<dd><p>Get mapping for desorption reaction</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB"><code class="docutils literal notranslate"><span class="pre">OCPNEB</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.batch_size"><code class="docutils literal notranslate"><span class="pre">OCPNEB.batch_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.trainer"><code class="docutils literal notranslate"><span class="pre">OCPNEB.trainer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.a2g"><code class="docutils literal notranslate"><span class="pre">OCPNEB.a2g</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.intermediate_energies"><code class="docutils literal notranslate"><span class="pre">OCPNEB.intermediate_energies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.intermediate_forces"><code class="docutils literal notranslate"><span class="pre">OCPNEB.intermediate_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.cached"><code class="docutils literal notranslate"><span class="pre">OCPNEB.cached</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">OCPNEB.load_checkpoint()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.get_forces"><code class="docutils literal notranslate"><span class="pre">OCPNEB.get_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.set_positions"><code class="docutils literal notranslate"><span class="pre">OCPNEB.set_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.OCPNEB.get_precon_forces"><code class="docutils literal notranslate"><span class="pre">OCPNEB.get_precon_forces()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.Reaction"><code class="docutils literal notranslate"><span class="pre">Reaction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.Reaction.reaction_db_path"><code class="docutils literal notranslate"><span class="pre">Reaction.reaction_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.Reaction.get_desorption_mapping"><code class="docutils literal notranslate"><span class="pre">Reaction.get_desorption_mapping()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
+</div></div>
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+    <h1>cattsunami.core.ocpneb</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB"><code class="docutils literal notranslate"><span class="pre">OCPNEB</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.batch_size"><code class="docutils literal notranslate"><span class="pre">OCPNEB.batch_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.trainer"><code class="docutils literal notranslate"><span class="pre">OCPNEB.trainer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.a2g"><code class="docutils literal notranslate"><span class="pre">OCPNEB.a2g</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.intermediate_energies"><code class="docutils literal notranslate"><span class="pre">OCPNEB.intermediate_energies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.intermediate_forces"><code class="docutils literal notranslate"><span class="pre">OCPNEB.intermediate_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.cached"><code class="docutils literal notranslate"><span class="pre">OCPNEB.cached</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">OCPNEB.load_checkpoint()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.get_forces"><code class="docutils literal notranslate"><span class="pre">OCPNEB.get_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.set_positions"><code class="docutils literal notranslate"><span class="pre">OCPNEB.set_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.ocpneb.OCPNEB.get_precon_forces"><code class="docutils literal notranslate"><span class="pre">OCPNEB.get_precon_forces()</span></code></a></li>
+</ul>
+</li>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-cattsunami.core.ocpneb">
+<span id="cattsunami-core-ocpneb"></span><h1>cattsunami.core.ocpneb<a class="headerlink" href="#module-cattsunami.core.ocpneb" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.ocpneb.OCPNEB" title="cattsunami.core.ocpneb.OCPNEB"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OCPNEB</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">cattsunami.core.ocpneb.</span></span><span class="sig-name descname"><span class="pre">OCPNEB</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">images</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">climb</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_rotation_and_translation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">world</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dynamic_relaxation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_fmax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'aseneb'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allow_shared_calculator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">precon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">ase.neb.DyNEB</span></code></p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.batch_size">
+<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.batch_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.trainer">
+<span class="sig-name descname"><span class="pre">trainer</span></span><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.trainer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.a2g">
+<span class="sig-name descname"><span class="pre">a2g</span></span><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.a2g" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.intermediate_energies">
+<span class="sig-name descname"><span class="pre">intermediate_energies</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.intermediate_energies" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.intermediate_forces">
+<span class="sig-name descname"><span class="pre">intermediate_forces</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.intermediate_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.cached">
+<span class="sig-name descname"><span class="pre">cached</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.cached" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.load_checkpoint">
+<span class="sig-name descname"><span class="pre">load_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.load_checkpoint" title="Link to this definition">#</a></dt>
+<dd><p>Load existing trained model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>checkpoint_path</strong> – string
+Path to trained model</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.get_forces">
+<span class="sig-name descname"><span class="pre">get_forces</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.get_forces" title="Link to this definition">#</a></dt>
+<dd><p>Evaluate and return the forces.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.set_positions">
+<span class="sig-name descname"><span class="pre">set_positions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">positions</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.set_positions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.ocpneb.OCPNEB.get_precon_forces">
+<span class="sig-name descname"><span class="pre">get_precon_forces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">forces</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energies</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">images</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.ocpneb.OCPNEB.get_precon_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.reaction.Reaction"><code class="docutils literal notranslate"><span class="pre">Reaction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.reaction.Reaction.reaction_db_path"><code class="docutils literal notranslate"><span class="pre">Reaction.reaction_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.core.reaction.Reaction.get_desorption_mapping"><code class="docutils literal notranslate"><span class="pre">Reaction.get_desorption_mapping()</span></code></a></li>
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+  <section id="module-cattsunami.core.reaction">
+<span id="cattsunami-core-reaction"></span><h1>cattsunami.core.reaction<a class="headerlink" href="#module-cattsunami.core.reaction" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.core.reaction.Reaction" title="cattsunami.core.reaction.Reaction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Reaction</span></code></a></p></td>
+<td><p>Initialize Reaction object</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="cattsunami.core.reaction.Reaction">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">cattsunami.core.reaction.</span></span><span class="sig-name descname"><span class="pre">Reaction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reaction_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reaction_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reaction_str_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reaction_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.reaction.Reaction" title="Link to this definition">#</a></dt>
+<dd><p>Initialize Reaction object</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="cattsunami.core.reaction.Reaction.reaction_db_path">
+<span class="sig-name descname"><span class="pre">reaction_db_path</span></span><a class="headerlink" href="#cattsunami.core.reaction.Reaction.reaction_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="cattsunami.core.reaction.Reaction.get_desorption_mapping">
+<span class="sig-name descname"><span class="pre">get_desorption_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reactant</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.core.reaction.Reaction.get_desorption_mapping" title="Link to this definition">#</a></dt>
+<dd><p>Get mapping for desorption reaction</p>
+</dd></dl>
+
+</dd></dl>
+
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.databases.DISSOCIATION_REACTION_DB_PATH"><code class="docutils literal notranslate"><span class="pre">DISSOCIATION_REACTION_DB_PATH</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.databases.DESORPTION_REACTION_DB_PATH"><code class="docutils literal notranslate"><span class="pre">DESORPTION_REACTION_DB_PATH</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.databases.TRANSFER_REACTION_DB_PATH"><code class="docutils literal notranslate"><span class="pre">TRANSFER_REACTION_DB_PATH</span></code></a></li>
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+  <section id="module-cattsunami.databases">
+<span id="cattsunami-databases"></span><h1>cattsunami.databases<a class="headerlink" href="#module-cattsunami.databases" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.databases.DISSOCIATION_REACTION_DB_PATH" title="cattsunami.databases.DISSOCIATION_REACTION_DB_PATH"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DISSOCIATION_REACTION_DB_PATH</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.databases.DESORPTION_REACTION_DB_PATH" title="cattsunami.databases.DESORPTION_REACTION_DB_PATH"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESORPTION_REACTION_DB_PATH</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.databases.TRANSFER_REACTION_DB_PATH" title="cattsunami.databases.TRANSFER_REACTION_DB_PATH"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TRANSFER_REACTION_DB_PATH</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="cattsunami.databases.DISSOCIATION_REACTION_DB_PATH">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.databases.</span></span><span class="sig-name descname"><span class="pre">DISSOCIATION_REACTION_DB_PATH</span></span><a class="headerlink" href="#cattsunami.databases.DISSOCIATION_REACTION_DB_PATH" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="cattsunami.databases.DESORPTION_REACTION_DB_PATH">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.databases.</span></span><span class="sig-name descname"><span class="pre">DESORPTION_REACTION_DB_PATH</span></span><a class="headerlink" href="#cattsunami.databases.DESORPTION_REACTION_DB_PATH" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="cattsunami.databases.TRANSFER_REACTION_DB_PATH">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.databases.</span></span><span class="sig-name descname"><span class="pre">TRANSFER_REACTION_DB_PATH</span></span><a class="headerlink" href="#cattsunami.databases.TRANSFER_REACTION_DB_PATH" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+  <section id="module-cattsunami">
+<span id="cattsunami"></span><h1>cattsunami<a class="headerlink" href="#module-cattsunami" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
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+    <h1>cattsunami.run_validation.run_validation</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.get_results_sp"><code class="docutils literal notranslate"><span class="pre">get_results_sp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.get_results_ml"><code class="docutils literal notranslate"><span class="pre">get_results_ml()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.all_converged"><code class="docutils literal notranslate"><span class="pre">all_converged()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.both_barrierless"><code class="docutils literal notranslate"><span class="pre">both_barrierless()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.both_barriered"><code class="docutils literal notranslate"><span class="pre">both_barriered()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.barrierless_converged"><code class="docutils literal notranslate"><span class="pre">barrierless_converged()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.is_failed_sp"><code class="docutils literal notranslate"><span class="pre">is_failed_sp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.parse_neb_info"><code class="docutils literal notranslate"><span class="pre">parse_neb_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.get_single_point"><code class="docutils literal notranslate"><span class="pre">get_single_point()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-cattsunami.run_validation.run_validation">
+<span id="cattsunami-run-validation-run-validation"></span><h1>cattsunami.run_validation.run_validation<a class="headerlink" href="#module-cattsunami.run_validation.run_validation" title="Link to this heading">#</a></h1>
+<p>A python script to run a validation of the ML NEB model on a set of NEB calculations.
+This script has not been written to run in parallel, but should be modified to do so.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.parser" title="cattsunami.run_validation.run_validation.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.get_results_sp" title="cattsunami.run_validation.run_validation.get_results_sp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_results_sp</span></code></a>(df2)</p></td>
+<td><p>Get the % success and % convergence for the model considered with</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.get_results_ml" title="cattsunami.run_validation.run_validation.get_results_ml"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_results_ml</span></code></a>(df2)</p></td>
+<td><p>Get the % success and % convergence for the model considered with</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.all_converged" title="cattsunami.run_validation.run_validation.all_converged"><code class="xref py py-obj docutils literal notranslate"><span class="pre">all_converged</span></code></a>(row[, ml])</p></td>
+<td><p>Dataframe function which makes the job of filtering to get % success cleaner.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.both_barrierless" title="cattsunami.run_validation.run_validation.both_barrierless"><code class="xref py py-obj docutils literal notranslate"><span class="pre">both_barrierless</span></code></a>(row)</p></td>
+<td><p>Dataframe function which makes the job of filtering to get % success cleaner.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.both_barriered" title="cattsunami.run_validation.run_validation.both_barriered"><code class="xref py py-obj docutils literal notranslate"><span class="pre">both_barriered</span></code></a>(row)</p></td>
+<td><p>Dataframe function which makes the job of filtering to get % success cleaner.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.barrierless_converged" title="cattsunami.run_validation.run_validation.barrierless_converged"><code class="xref py py-obj docutils literal notranslate"><span class="pre">barrierless_converged</span></code></a>(row)</p></td>
+<td><p>Dataframe function which makes the job of filtering to get % success cleaner.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.is_failed_sp" title="cattsunami.run_validation.run_validation.is_failed_sp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_failed_sp</span></code></a>(row)</p></td>
+<td><p>Dataframe function which makes the job of filtering to get % success cleaner.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.parse_neb_info" title="cattsunami.run_validation.run_validation.parse_neb_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_neb_info</span></code></a>(neb_frames, calc, conv, entry)</p></td>
+<td><p>At the conclusion of the ML NEB, this function processes the important</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#cattsunami.run_validation.run_validation.get_single_point" title="cattsunami.run_validation.run_validation.get_single_point"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_point</span></code></a>(atoms, vasp_dir, vasp_flags, vasp_command)</p></td>
+<td><p>Gets a single point on the atoms passed.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.get_results_sp">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">get_results_sp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pandas.DataFrame</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.run_validation.run_validation.get_results_sp" title="Link to this definition">#</a></dt>
+<dd><p>Get the % success and % convergence for the model considered with
+single points performed on the transition states.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>df2</strong> (<em>pd.DataFrame</em>) – The dataframe containing the results of the
+NEB calculations.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>a tuple of strings containing the % success and</dt><dd><p>% convergence</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(tuple[str])</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.get_results_ml">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">get_results_ml</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df2</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.run_validation.run_validation.get_results_ml" title="Link to this definition">#</a></dt>
+<dd><p>Get the % success and % convergence for the model considered with
+just ML energy and force calls.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>df2</strong> (<em>pd.DataFrame</em>) – The dataframe containing the results of the
+NEB calculations.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>a tuple of strings containing the % success and</dt><dd><p>% convergence</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(tuple[str])</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.all_converged">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">all_converged</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">row</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ml</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.run_validation.run_validation.all_converged" title="Link to this definition">#</a></dt>
+<dd><p>Dataframe function which makes the job of filtering to get % success cleaner.
+It assesses the convergence.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>row</strong> – the dataframe row which the function is applied to</p></li>
+<li><p><strong>ml</strong> – boolean value. If <cite>True</cite> just the ML NEB and DFT NEB convergence are
+considered. If <cite>False</cite>, the single point convergence is also considered.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>whether the system is converged</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.both_barrierless">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">both_barrierless</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">row</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.run_validation.run_validation.both_barrierless" title="Link to this definition">#</a></dt>
+<dd><p>Dataframe function which makes the job of filtering to get % success cleaner.
+It assesses if both DFT and ML find a barrierless transition state.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>row</strong> – the dataframe row which the function is applied to</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>True if both ML and DFT find a barrierless transition state, False otherwise</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.both_barriered">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">both_barriered</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">row</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.run_validation.run_validation.both_barriered" title="Link to this definition">#</a></dt>
+<dd><p>Dataframe function which makes the job of filtering to get % success cleaner.
+It assesses if both DFT and ML find a barriered transition state.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>row</strong> – the dataframe row which the function is applied to</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>True if both ML and DFT find a barriered transition state, False otherwise</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.barrierless_converged">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">barrierless_converged</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">row</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.run_validation.run_validation.barrierless_converged" title="Link to this definition">#</a></dt>
+<dd><p>Dataframe function which makes the job of filtering to get % success cleaner.
+It assesses if both DFT and ML find a barrierless, converged transition state.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>row</strong> – the dataframe row which the function is applied to</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>True if both ML and DFT find a barrierless converged transition state,</dt><dd><p>False otherwise</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.is_failed_sp">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">is_failed_sp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">row</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.run_validation.run_validation.is_failed_sp" title="Link to this definition">#</a></dt>
+<dd><p>Dataframe function which makes the job of filtering to get % success cleaner.
+It assesses if the single point failed.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>row</strong> – the dataframe row which the function is applied to</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>True if ths single point failed, otherwise False</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.parse_neb_info">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">parse_neb_info</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">neb_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calc</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entry</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.run_validation.run_validation.parse_neb_info" title="Link to this definition">#</a></dt>
+<dd><p>At the conclusion of the ML NEB, this function processes the important
+results and adds them to the entry dictionary.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>neb_frames</strong> (<em>list</em><em>[</em><em>ase.Atoms</em><em>]</em>) – the ML relaxed NEB frames</p></li>
+<li><p><strong>calc</strong> – the ocp ase Atoms calculator</p></li>
+<li><p><strong>conv</strong> (<em>bool</em>) – whether or not the NEB achieved forces below the threshold within
+the number of allowed steps</p></li>
+<li><p><strong>entry</strong> (<em>dict</em>) – the entry corresponding to the NEB performed</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.get_single_point">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">get_single_point</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vasp_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vasp_flags</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vasp_command</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cattsunami.run_validation.run_validation.get_single_point" title="Link to this definition">#</a></dt>
+<dd><p>Gets a single point on the atoms passed.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms</strong> (<em>ase.Atoms</em>) – the atoms object on which the single point will be performed</p></li>
+<li><p><strong>vasp_dir</strong> (<em>str</em>) – the path where the vasp files should be written</p></li>
+<li><p><strong>vasp_flags</strong> – a dictionary of the vasp INCAR flags</p></li>
+<li><p><strong>vasp_command</strong> (<em>str</em>) – the</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="cattsunami.run_validation.run_validation.parser">
+<span class="sig-prename descclassname"><span class="pre">cattsunami.run_validation.run_validation.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#cattsunami.run_validation.run_validation.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            theme: "abcdef",
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+        },
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+    }
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.get_results_sp"><code class="docutils literal notranslate"><span class="pre">get_results_sp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.get_results_ml"><code class="docutils literal notranslate"><span class="pre">get_results_ml()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.all_converged"><code class="docutils literal notranslate"><span class="pre">all_converged()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.both_barrierless"><code class="docutils literal notranslate"><span class="pre">both_barrierless()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.both_barriered"><code class="docutils literal notranslate"><span class="pre">both_barriered()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.barrierless_converged"><code class="docutils literal notranslate"><span class="pre">barrierless_converged()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.is_failed_sp"><code class="docutils literal notranslate"><span class="pre">is_failed_sp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.parse_neb_info"><code class="docutils literal notranslate"><span class="pre">parse_neb_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.get_single_point"><code class="docutils literal notranslate"><span class="pre">get_single_point()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cattsunami.run_validation.run_validation.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
+</div></div>
+              
+            
+          </div>
+          <footer class="bd-footer-content">
+            
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+<li class="toctree-l3 has-children"><a class="reference internal" href="../../cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+    <h1>core._cli</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.Runner"><code class="docutils literal notranslate"><span class="pre">Runner</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.Runner.config"><code class="docutils literal notranslate"><span class="pre">Runner.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.Runner.__call__"><code class="docutils literal notranslate"><span class="pre">Runner.__call__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.Runner.checkpoint"><code class="docutils literal notranslate"><span class="pre">Runner.checkpoint()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.runner_wrapper"><code class="docutils literal notranslate"><span class="pre">runner_wrapper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core._cli">
+<span id="core-cli"></span><h1>core._cli<a class="headerlink" href="#module-core._cli" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Facebook, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core._cli.Runner" title="core._cli.Runner"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Runner</span></code></a></p></td>
+<td><p>Derived callable classes are requeued after timeout with their current</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core._cli.runner_wrapper" title="core._cli.runner_wrapper"><code class="xref py py-obj docutils literal notranslate"><span class="pre">runner_wrapper</span></code></a>(config)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core._cli.main" title="core._cli.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>([args, override_args])</p></td>
+<td><p>Run the main fairchem program.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core._cli.Runner">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core._cli.</span></span><span class="sig-name descname"><span class="pre">Runner</span></span><a class="headerlink" href="#core._cli.Runner" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">submitit.helpers.Checkpointable</span></code></p>
+<p>Derived callable classes are requeued after timeout with their current
+state dumped at checkpoint.</p>
+<p>__call__ method must be implemented to make your class a callable.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>The following implementation of the checkpoint method resubmits the full current
+state of the callable (self) with the initial argument. You may want to replace the method to
+curate the state (dump a neural network to a standard format and remove it from
+the state so that not to pickle it) and change/remove the initial parameters.</p>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core._cli.Runner.config">
+<span class="sig-name descname"><span class="pre">config</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core._cli.Runner.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core._cli.Runner.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core._cli.Runner.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core._cli.Runner.checkpoint">
+<span class="sig-name descname"><span class="pre">checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core._cli.Runner.checkpoint" title="Link to this definition">#</a></dt>
+<dd><p>Resubmits the same callable with the same arguments</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core._cli.runner_wrapper">
+<span class="sig-prename descclassname"><span class="pre">core._cli.</span></span><span class="sig-name descname"><span class="pre">runner_wrapper</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core._cli.runner_wrapper" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core._cli.main">
+<span class="sig-prename descclassname"><span class="pre">core._cli.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">argparse.Namespace</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">override_args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core._cli.main" title="Link to this definition">#</a></dt>
+<dd><p>Run the main fairchem program.</p>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
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+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.Runner"><code class="docutils literal notranslate"><span class="pre">Runner</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.Runner.config"><code class="docutils literal notranslate"><span class="pre">Runner.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.Runner.__call__"><code class="docutils literal notranslate"><span class="pre">Runner.__call__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.Runner.checkpoint"><code class="docutils literal notranslate"><span class="pre">Runner.checkpoint()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.runner_wrapper"><code class="docutils literal notranslate"><span class="pre">runner_wrapper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+</ul>
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+  </nav></div>
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+<li class="toctree-l2 has-children"><a class="reference internal" href="../../data/index.html">data</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toctree-l4"><a class="reference internal" href="../../data/oc/utils/index.html">data.oc.utils</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../data/odac/index.html">data.odac</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toctree-l2 has-children"><a class="reference internal" href="../../ocpapi/index.html">ocpapi</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../ocpapi/client/index.html">ocpapi.client</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../../ocpapi/client/client/index.html">ocpapi.client.client</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../ocpapi/client/models/index.html">ocpapi.client.models</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../ocpapi/client/ui/index.html">ocpapi.client.ui</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../../ocpapi/version/index.html">ocpapi.version</a></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../ocpapi/workflows/index.html">ocpapi.workflows</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../../ocpapi/workflows/adsorbates/index.html">ocpapi.workflows.adsorbates</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../ocpapi/workflows/context/index.html">ocpapi.workflows.context</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../ocpapi/workflows/filter/index.html">ocpapi.workflows.filter</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../ocpapi/workflows/log/index.html">ocpapi.workflows.log</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../ocpapi/workflows/retry/index.html">ocpapi.workflows.retry</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../../cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../../cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../../cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../../../execution_time.html">Notebook execution times</a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>core._cli_hydra</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli_hydra.logger"><code class="docutils literal notranslate"><span class="pre">logger</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli_hydra.Submitit"><code class="docutils literal notranslate"><span class="pre">Submitit</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli_hydra.Submitit.__call__"><code class="docutils literal notranslate"><span class="pre">Submitit.__call__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli_hydra.Submitit._init_logger"><code class="docutils literal notranslate"><span class="pre">Submitit._init_logger()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli_hydra.Submitit.checkpoint"><code class="docutils literal notranslate"><span class="pre">Submitit.checkpoint()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli_hydra.map_cli_args_to_dist_config"><code class="docutils literal notranslate"><span class="pre">map_cli_args_to_dist_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli_hydra.get_hydra_config_from_yaml"><code class="docutils literal notranslate"><span class="pre">get_hydra_config_from_yaml()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli_hydra.runner_wrapper"><code class="docutils literal notranslate"><span class="pre">runner_wrapper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core._cli_hydra.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core._cli_hydra">
+<span id="core-cli-hydra"></span><h1>core._cli_hydra<a class="headerlink" href="#module-core._cli_hydra" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Facebook, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core._cli_hydra.logger" title="core._cli_hydra.logger"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logger</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core._cli_hydra.Submitit" title="core._cli_hydra.Submitit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Submitit</span></code></a></p></td>
+<td><p>Derived callable classes are requeued after timeout with their current</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core._cli_hydra.map_cli_args_to_dist_config" title="core._cli_hydra.map_cli_args_to_dist_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_cli_args_to_dist_config</span></code></a>(→ dict)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core._cli_hydra.get_hydra_config_from_yaml" title="core._cli_hydra.get_hydra_config_from_yaml"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_hydra_config_from_yaml</span></code></a>(→ omegaconf.DictConfig)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core._cli_hydra.runner_wrapper" title="core._cli_hydra.runner_wrapper"><code class="xref py py-obj docutils literal notranslate"><span class="pre">runner_wrapper</span></code></a>(config)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core._cli_hydra.main" title="core._cli_hydra.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>([args, override_args])</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core._cli_hydra.logger">
+<span class="sig-prename descclassname"><span class="pre">core._cli_hydra.</span></span><span class="sig-name descname"><span class="pre">logger</span></span><a class="headerlink" href="#core._cli_hydra.logger" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core._cli_hydra.Submitit">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core._cli_hydra.</span></span><span class="sig-name descname"><span class="pre">Submitit</span></span><a class="headerlink" href="#core._cli_hydra.Submitit" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">submitit.helpers.Checkpointable</span></code></p>
+<p>Derived callable classes are requeued after timeout with their current
+state dumped at checkpoint.</p>
+<p>__call__ method must be implemented to make your class a callable.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>The following implementation of the checkpoint method resubmits the full current
+state of the callable (self) with the initial argument. You may want to replace the method to
+curate the state (dump a neural network to a standard format and remove it from
+the state so that not to pickle it) and change/remove the initial parameters.</p>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="core._cli_hydra.Submitit.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dict_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">omegaconf.DictConfig</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core._cli_hydra.Submitit.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core._cli_hydra.Submitit._init_logger">
+<span class="sig-name descname"><span class="pre">_init_logger</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core._cli_hydra.Submitit._init_logger" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core._cli_hydra.Submitit.checkpoint">
+<span class="sig-name descname"><span class="pre">checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">submitit.helpers.DelayedSubmission</span></span></span><a class="headerlink" href="#core._cli_hydra.Submitit.checkpoint" title="Link to this definition">#</a></dt>
+<dd><p>Resubmits the same callable with the same arguments</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core._cli_hydra.map_cli_args_to_dist_config">
+<span class="sig-prename descclassname"><span class="pre">core._cli_hydra.</span></span><span class="sig-name descname"><span class="pre">map_cli_args_to_dist_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cli_args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">omegaconf.DictConfig</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#core._cli_hydra.map_cli_args_to_dist_config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core._cli_hydra.get_hydra_config_from_yaml">
+<span class="sig-prename descclassname"><span class="pre">core._cli_hydra.</span></span><span class="sig-name descname"><span class="pre">get_hydra_config_from_yaml</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config_yml</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overrides_args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">omegaconf.DictConfig</span></span></span><a class="headerlink" href="#core._cli_hydra.get_hydra_config_from_yaml" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core._cli_hydra.runner_wrapper">
+<span class="sig-prename descclassname"><span class="pre">core._cli_hydra.</span></span><span class="sig-name descname"><span class="pre">runner_wrapper</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">omegaconf.DictConfig</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core._cli_hydra.runner_wrapper" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core._cli_hydra.main">
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.OCPCollater"><code class="docutils literal notranslate"><span class="pre">OCPCollater</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.OCPCollater.otf_graph"><code class="docutils literal notranslate"><span class="pre">OCPCollater.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.OCPCollater.__call__"><code class="docutils literal notranslate"><span class="pre">OCPCollater.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel._balanced_partition"><code class="docutils literal notranslate"><span class="pre">_balanced_partition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler.start_iter"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler.start_iter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler.batch_size"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler.batch_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler.__iter__"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler.__iter__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler.set_epoch_and_start_iteration"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler.set_epoch_and_start_iteration()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel._ensure_supported"><code class="docutils literal notranslate"><span class="pre">_ensure_supported()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.disabled"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.disabled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.on_error"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.on_error</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.device"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler._get_natoms"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler._get_natoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.set_epoch_and_start_iteration"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.set_epoch_and_start_iteration()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.set_epoch"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.set_epoch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler._dist_enabled"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler._dist_enabled()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.__iter__"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.__iter__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.data_parallel">
+<span id="core-common-data-parallel"></span><h1>core.common.data_parallel<a class="headerlink" href="#module-core.common.data_parallel" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.data_parallel.OCPCollater" title="core.common.data_parallel.OCPCollater"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OCPCollater</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.data_parallel.StatefulDistributedSampler" title="core.common.data_parallel.StatefulDistributedSampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">StatefulDistributedSampler</span></code></a></p></td>
+<td><p>More fine-grained state DataSampler that uses training iteration and epoch</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.data_parallel.BalancedBatchSampler" title="core.common.data_parallel.BalancedBatchSampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BalancedBatchSampler</span></code></a></p></td>
+<td><p>Wraps another sampler to yield a mini-batch of indices.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.data_parallel._balanced_partition" title="core.common.data_parallel._balanced_partition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_balanced_partition</span></code></a>(sizes, num_parts)</p></td>
+<td><p>Greedily partition the given set by always inserting</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.data_parallel._ensure_supported" title="core.common.data_parallel._ensure_supported"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_ensure_supported</span></code></a>(dataset)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.data_parallel.OCPCollater">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.data_parallel.</span></span><span class="sig-name descname"><span class="pre">OCPCollater</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel.OCPCollater" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.data_parallel.OCPCollater.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.common.data_parallel.OCPCollater.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.data_parallel.OCPCollater.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">torch_geometric.data.Data</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch_geometric.data.Batch</span></span></span><a class="headerlink" href="#core.common.data_parallel.OCPCollater.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.data_parallel._balanced_partition">
+<span class="sig-prename descclassname"><span class="pre">core.common.data_parallel.</span></span><span class="sig-name descname"><span class="pre">_balanced_partition</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sizes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.typing.NDArray</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.int_</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_parts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel._balanced_partition" title="Link to this definition">#</a></dt>
+<dd><p>Greedily partition the given set by always inserting
+the largest element into the smallest partition.</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.data_parallel.StatefulDistributedSampler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.data_parallel.</span></span><span class="sig-name descname"><span class="pre">StatefulDistributedSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel.StatefulDistributedSampler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.utils.data.DistributedSampler</span></code></p>
+<p>More fine-grained state DataSampler that uses training iteration and epoch
+both for shuffling data. PyTorch DistributedSampler only uses epoch
+for the shuffling and starts sampling data from the start. In case of training
+on very large data, we train for one epoch only and when we resume training,
+we want to resume the data sampler from the training iteration.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.data_parallel.StatefulDistributedSampler.start_iter">
+<span class="sig-name descname"><span class="pre">start_iter</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.common.data_parallel.StatefulDistributedSampler.start_iter" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.data_parallel.StatefulDistributedSampler.batch_size">
+<span class="sig-name descname"><span class="pre">batch_size</span></span><a class="headerlink" href="#core.common.data_parallel.StatefulDistributedSampler.batch_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.data_parallel.StatefulDistributedSampler.__iter__">
+<span class="sig-name descname"><span class="pre">__iter__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel.StatefulDistributedSampler.__iter__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.data_parallel.StatefulDistributedSampler.set_epoch_and_start_iteration">
+<span class="sig-name descname"><span class="pre">set_epoch_and_start_iteration</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_iter</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel.StatefulDistributedSampler.set_epoch_and_start_iteration" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.data_parallel._ensure_supported">
+<span class="sig-prename descclassname"><span class="pre">core.common.data_parallel.</span></span><span class="sig-name descname"><span class="pre">_ensure_supported</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel._ensure_supported" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.data_parallel.BalancedBatchSampler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.data_parallel.</span></span><span class="sig-name descname"><span class="pre">BalancedBatchSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.utils.data.Dataset</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_replicas</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.device</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Literal</span><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'atoms'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'atoms'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">on_error</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Literal</span><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'warn_and_balance'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'warn_and_no_balance'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'raise'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'raise'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_last</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel.BalancedBatchSampler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.utils.data.BatchSampler</span></code></p>
+<p>Wraps another sampler to yield a mini-batch of indices.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sampler</strong> (<em>Sampler</em><em> or </em><em>Iterable</em>) – Base sampler. Can be any iterable object</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Size of mini-batch.</p></li>
+<li><p><strong>drop_last</strong> (<em>bool</em>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, the sampler will drop the last batch if
+its size would be less than <code class="docutils literal notranslate"><span class="pre">batch_size</span></code></p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Example</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">BatchSampler</span><span class="p">(</span><span class="n">SequentialSampler</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">)),</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">drop_last</span><span class="o">=</span><span class="kc">False</span><span class="p">))</span>
+<span class="go">[[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">BatchSampler</span><span class="p">(</span><span class="n">SequentialSampler</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">)),</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">drop_last</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span>
+<span class="go">[[0, 1, 2], [3, 4, 5], [6, 7, 8]]</span>
+</pre></div>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.data_parallel.BalancedBatchSampler.disabled">
+<span class="sig-name descname"><span class="pre">disabled</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.common.data_parallel.BalancedBatchSampler.disabled" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.data_parallel.BalancedBatchSampler.on_error">
+<span class="sig-name descname"><span class="pre">on_error</span></span><a class="headerlink" href="#core.common.data_parallel.BalancedBatchSampler.on_error" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.data_parallel.BalancedBatchSampler.device">
+<span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#core.common.data_parallel.BalancedBatchSampler.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.data_parallel.BalancedBatchSampler._get_natoms">
+<span class="sig-name descname"><span class="pre">_get_natoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel.BalancedBatchSampler._get_natoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.data_parallel.BalancedBatchSampler.set_epoch_and_start_iteration">
+<span class="sig-name descname"><span class="pre">set_epoch_and_start_iteration</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_iteration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.data_parallel.BalancedBatchSampler.set_epoch_and_start_iteration" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.data_parallel.BalancedBatchSampler.set_epoch">
+<span class="sig-name descname"><span class="pre">set_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.data_parallel.BalancedBatchSampler.set_epoch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.data_parallel.BalancedBatchSampler._dist_enabled">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_dist_enabled</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel.BalancedBatchSampler._dist_enabled" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.data_parallel.BalancedBatchSampler.__iter__">
+<span class="sig-name descname"><span class="pre">__iter__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.data_parallel.BalancedBatchSampler.__iter__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.OCPCollater"><code class="docutils literal notranslate"><span class="pre">OCPCollater</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.OCPCollater.otf_graph"><code class="docutils literal notranslate"><span class="pre">OCPCollater.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.OCPCollater.__call__"><code class="docutils literal notranslate"><span class="pre">OCPCollater.__call__()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel._balanced_partition"><code class="docutils literal notranslate"><span class="pre">_balanced_partition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler.start_iter"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler.start_iter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler.batch_size"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler.batch_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler.__iter__"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler.__iter__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.StatefulDistributedSampler.set_epoch_and_start_iteration"><code class="docutils literal notranslate"><span class="pre">StatefulDistributedSampler.set_epoch_and_start_iteration()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel._ensure_supported"><code class="docutils literal notranslate"><span class="pre">_ensure_supported()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.disabled"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.disabled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.on_error"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.on_error</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.device"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler._get_natoms"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler._get_natoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.set_epoch_and_start_iteration"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.set_epoch_and_start_iteration()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.set_epoch"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.set_epoch()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.data_parallel.BalancedBatchSampler.__iter__"><code class="docutils literal notranslate"><span class="pre">BalancedBatchSampler.__iter__()</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.T"><code class="docutils literal notranslate"><span class="pre">T</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.DISTRIBUTED_PORT"><code class="docutils literal notranslate"><span class="pre">DISTRIBUTED_PORT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.CURRENT_DEVICE_STR"><code class="docutils literal notranslate"><span class="pre">CURRENT_DEVICE_STR</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.os_environ_get_or_throw"><code class="docutils literal notranslate"><span class="pre">os_environ_get_or_throw()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.setup"><code class="docutils literal notranslate"><span class="pre">setup()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.cleanup"><code class="docutils literal notranslate"><span class="pre">cleanup()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.initialized"><code class="docutils literal notranslate"><span class="pre">initialized()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.get_rank"><code class="docutils literal notranslate"><span class="pre">get_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.get_world_size"><code class="docutils literal notranslate"><span class="pre">get_world_size()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.is_master"><code class="docutils literal notranslate"><span class="pre">is_master()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.synchronize"><code class="docutils literal notranslate"><span class="pre">synchronize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.broadcast"><code class="docutils literal notranslate"><span class="pre">broadcast()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.broadcast_object_list"><code class="docutils literal notranslate"><span class="pre">broadcast_object_list()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.all_reduce"><code class="docutils literal notranslate"><span class="pre">all_reduce()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.all_gather"><code class="docutils literal notranslate"><span class="pre">all_gather()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.gather_objects"><code class="docutils literal notranslate"><span class="pre">gather_objects()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.assign_device_for_local_rank"><code class="docutils literal notranslate"><span class="pre">assign_device_for_local_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.get_device_for_local_rank"><code class="docutils literal notranslate"><span class="pre">get_device_for_local_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.setup_env_local"><code class="docutils literal notranslate"><span class="pre">setup_env_local()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.distutils">
+<span id="core-common-distutils"></span><h1>core.common.distutils<a class="headerlink" href="#module-core.common.distutils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.T" title="core.common.distutils.T"><code class="xref py py-obj docutils literal notranslate"><span class="pre">T</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.distutils.DISTRIBUTED_PORT" title="core.common.distutils.DISTRIBUTED_PORT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DISTRIBUTED_PORT</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.CURRENT_DEVICE_STR" title="core.common.distutils.CURRENT_DEVICE_STR"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CURRENT_DEVICE_STR</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.os_environ_get_or_throw" title="core.common.distutils.os_environ_get_or_throw"><code class="xref py py-obj docutils literal notranslate"><span class="pre">os_environ_get_or_throw</span></code></a>(→ str)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.distutils.setup" title="core.common.distutils.setup"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setup</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.cleanup" title="core.common.distutils.cleanup"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cleanup</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.distutils.initialized" title="core.common.distutils.initialized"><code class="xref py py-obj docutils literal notranslate"><span class="pre">initialized</span></code></a>(→ bool)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.get_rank" title="core.common.distutils.get_rank"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_rank</span></code></a>(→ int)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.distutils.get_world_size" title="core.common.distutils.get_world_size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_world_size</span></code></a>(→ int)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.is_master" title="core.common.distutils.is_master"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_master</span></code></a>(→ bool)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.distutils.synchronize" title="core.common.distutils.synchronize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">synchronize</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.broadcast" title="core.common.distutils.broadcast"><code class="xref py py-obj docutils literal notranslate"><span class="pre">broadcast</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.distutils.broadcast_object_list" title="core.common.distutils.broadcast_object_list"><code class="xref py py-obj docutils literal notranslate"><span class="pre">broadcast_object_list</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.all_reduce" title="core.common.distutils.all_reduce"><code class="xref py py-obj docutils literal notranslate"><span class="pre">all_reduce</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.distutils.all_gather" title="core.common.distutils.all_gather"><code class="xref py py-obj docutils literal notranslate"><span class="pre">all_gather</span></code></a>(→ list[torch.Tensor])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.gather_objects" title="core.common.distutils.gather_objects"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gather_objects</span></code></a>(→ list[T])</p></td>
+<td><p>Gather a list of pickleable objects into rank 0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.distutils.assign_device_for_local_rank" title="core.common.distutils.assign_device_for_local_rank"><code class="xref py py-obj docutils literal notranslate"><span class="pre">assign_device_for_local_rank</span></code></a>(cpu, local_rank)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.distutils.get_device_for_local_rank" title="core.common.distutils.get_device_for_local_rank"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_device_for_local_rank</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.distutils.setup_env_local" title="core.common.distutils.setup_env_local"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setup_env_local</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.distutils.T">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">T</span></span><a class="headerlink" href="#core.common.distutils.T" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.distutils.DISTRIBUTED_PORT">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">DISTRIBUTED_PORT</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">13356</span></em><a class="headerlink" href="#core.common.distutils.DISTRIBUTED_PORT" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.distutils.CURRENT_DEVICE_STR">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">CURRENT_DEVICE_STR</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'CURRRENT_DEVICE'</span></em><a class="headerlink" href="#core.common.distutils.CURRENT_DEVICE_STR" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.os_environ_get_or_throw">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">os_environ_get_or_throw</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.common.distutils.os_environ_get_or_throw" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.setup">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">setup</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.distutils.setup" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.cleanup">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">cleanup</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.distutils.cleanup" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.initialized">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">initialized</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.distutils.initialized" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.get_rank">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">get_rank</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.distutils.get_rank" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.get_world_size">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">get_world_size</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.distutils.get_world_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.is_master">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">is_master</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.distutils.is_master" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.synchronize">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">synchronize</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.distutils.synchronize" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.broadcast">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">broadcast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">src</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">dist.group.WORLD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">async_op</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.distutils.broadcast" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.broadcast_object_list">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">broadcast_object_list</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">object_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">src</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">dist.group.WORLD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.distutils.broadcast_object_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.all_reduce">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">all_reduce</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">dist.group.WORLD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">average</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.distutils.all_reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.all_gather">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">all_gather</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">dist.group.WORLD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.distutils.all_gather" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.gather_objects">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">gather_objects</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">T</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.distributed.ProcessGroup</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">dist.group.WORLD</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">T</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.distutils.gather_objects" title="Link to this definition">#</a></dt>
+<dd><p>Gather a list of pickleable objects into rank 0</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.distutils.assign_device_for_local_rank">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">assign_device_for_local_rank</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.distutils.assign_device_for_local_rank" title="Link to this definition">#</a></dt>
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+
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+<dt class="sig sig-object py" id="core.common.distutils.get_device_for_local_rank">
+<span class="sig-prename descclassname"><span class="pre">core.common.distutils.</span></span><span class="sig-name descname"><span class="pre">get_device_for_local_rank</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.distutils.get_device_for_local_rank" title="Link to this definition">#</a></dt>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.DISTRIBUTED_PORT"><code class="docutils literal notranslate"><span class="pre">DISTRIBUTED_PORT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.CURRENT_DEVICE_STR"><code class="docutils literal notranslate"><span class="pre">CURRENT_DEVICE_STR</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.os_environ_get_or_throw"><code class="docutils literal notranslate"><span class="pre">os_environ_get_or_throw()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.initialized"><code class="docutils literal notranslate"><span class="pre">initialized()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.get_rank"><code class="docutils literal notranslate"><span class="pre">get_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.get_world_size"><code class="docutils literal notranslate"><span class="pre">get_world_size()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.is_master"><code class="docutils literal notranslate"><span class="pre">is_master()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.synchronize"><code class="docutils literal notranslate"><span class="pre">synchronize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.broadcast"><code class="docutils literal notranslate"><span class="pre">broadcast()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.broadcast_object_list"><code class="docutils literal notranslate"><span class="pre">broadcast_object_list()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.all_reduce"><code class="docutils literal notranslate"><span class="pre">all_reduce()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.all_gather"><code class="docutils literal notranslate"><span class="pre">all_gather()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.gather_objects"><code class="docutils literal notranslate"><span class="pre">gather_objects()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.assign_device_for_local_rank"><code class="docutils literal notranslate"><span class="pre">assign_device_for_local_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.get_device_for_local_rank"><code class="docutils literal notranslate"><span class="pre">get_device_for_local_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.distutils.setup_env_local"><code class="docutils literal notranslate"><span class="pre">setup_env_local()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.flags.Flags.get_parser"><code class="docutils literal notranslate"><span class="pre">Flags.get_parser()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.flags.Flags.add_core_args"><code class="docutils literal notranslate"><span class="pre">Flags.add_core_args()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.flags.flags"><code class="docutils literal notranslate"><span class="pre">flags</span></code></a></li>
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+<span id="core-common-flags"></span><h1>core.common.flags<a class="headerlink" href="#module-core.common.flags" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
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+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.flags.flags" title="core.common.flags.flags"><code class="xref py py-obj docutils literal notranslate"><span class="pre">flags</span></code></a></p></td>
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+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.flags.Flags" title="core.common.flags.Flags"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Flags</span></code></a></p></td>
+<td><p></p></td>
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+<dt class="sig sig-object py" id="core.common.flags.Flags">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.flags.</span></span><span class="sig-name descname"><span class="pre">Flags</span></span><a class="headerlink" href="#core.common.flags.Flags" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.flags.Flags.parser">
+<span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.common.flags.Flags.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.flags.Flags.get_parser">
+<span class="sig-name descname"><span class="pre">get_parser</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">argparse.ArgumentParser</span></span></span><a class="headerlink" href="#core.common.flags.Flags.get_parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.flags.Flags.add_core_args">
+<span class="sig-name descname"><span class="pre">add_core_args</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.flags.Flags.add_core_args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.flags.flags">
+<span class="sig-prename descclassname"><span class="pre">core.common.flags.</span></span><span class="sig-name descname"><span class="pre">flags</span></span><a class="headerlink" href="#core.common.flags.flags" title="Link to this definition">#</a></dt>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._GRAPH_PARALLEL_GROUP"><code class="docutils literal notranslate"><span class="pre">_GRAPH_PARALLEL_GROUP</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._DATA_PARALLEL_GROUP"><code class="docutils literal notranslate"><span class="pre">_DATA_PARALLEL_GROUP</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ensure_div"><code class="docutils literal notranslate"><span class="pre">ensure_div()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.divide_and_check_no_remainder"><code class="docutils literal notranslate"><span class="pre">divide_and_check_no_remainder()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.setup_gp"><code class="docutils literal notranslate"><span class="pre">setup_gp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.cleanup_gp"><code class="docutils literal notranslate"><span class="pre">cleanup_gp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.initialized"><code class="docutils literal notranslate"><span class="pre">initialized()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_dp_group"><code class="docutils literal notranslate"><span class="pre">get_dp_group()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_gp_group"><code class="docutils literal notranslate"><span class="pre">get_gp_group()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_dp_rank"><code class="docutils literal notranslate"><span class="pre">get_dp_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_gp_rank"><code class="docutils literal notranslate"><span class="pre">get_gp_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_dp_world_size"><code class="docutils literal notranslate"><span class="pre">get_dp_world_size()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_gp_world_size"><code class="docutils literal notranslate"><span class="pre">get_gp_world_size()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.pad_tensor"><code class="docutils literal notranslate"><span class="pre">pad_tensor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.trim_tensor"><code class="docutils literal notranslate"><span class="pre">trim_tensor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._split_tensor"><code class="docutils literal notranslate"><span class="pre">_split_tensor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._reduce"><code class="docutils literal notranslate"><span class="pre">_reduce()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._split"><code class="docutils literal notranslate"><span class="pre">_split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._gather"><code class="docutils literal notranslate"><span class="pre">_gather()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._gather_with_padding"><code class="docutils literal notranslate"><span class="pre">_gather_with_padding()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.CopyToModelParallelRegion"><code class="docutils literal notranslate"><span class="pre">CopyToModelParallelRegion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.CopyToModelParallelRegion.forward"><code class="docutils literal notranslate"><span class="pre">CopyToModelParallelRegion.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.CopyToModelParallelRegion.backward"><code class="docutils literal notranslate"><span class="pre">CopyToModelParallelRegion.backward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ReduceFromModelParallelRegion"><code class="docutils literal notranslate"><span class="pre">ReduceFromModelParallelRegion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ReduceFromModelParallelRegion.forward"><code class="docutils literal notranslate"><span class="pre">ReduceFromModelParallelRegion.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ReduceFromModelParallelRegion.backward"><code class="docutils literal notranslate"><span class="pre">ReduceFromModelParallelRegion.backward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ScatterToModelParallelRegion"><code class="docutils literal notranslate"><span class="pre">ScatterToModelParallelRegion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ScatterToModelParallelRegion.forward"><code class="docutils literal notranslate"><span class="pre">ScatterToModelParallelRegion.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ScatterToModelParallelRegion.backward"><code class="docutils literal notranslate"><span class="pre">ScatterToModelParallelRegion.backward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.GatherFromModelParallelRegion"><code class="docutils literal notranslate"><span class="pre">GatherFromModelParallelRegion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.GatherFromModelParallelRegion.forward"><code class="docutils literal notranslate"><span class="pre">GatherFromModelParallelRegion.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.GatherFromModelParallelRegion.backward"><code class="docutils literal notranslate"><span class="pre">GatherFromModelParallelRegion.backward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.copy_to_model_parallel_region"><code class="docutils literal notranslate"><span class="pre">copy_to_model_parallel_region()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.reduce_from_model_parallel_region"><code class="docutils literal notranslate"><span class="pre">reduce_from_model_parallel_region()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.scatter_to_model_parallel_region"><code class="docutils literal notranslate"><span class="pre">scatter_to_model_parallel_region()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.gather_from_model_parallel_region"><code class="docutils literal notranslate"><span class="pre">gather_from_model_parallel_region()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.gp_utils">
+<span id="core-common-gp-utils"></span><h1>core.common.gp_utils<a class="headerlink" href="#module-core.common.gp_utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils._GRAPH_PARALLEL_GROUP" title="core.common.gp_utils._GRAPH_PARALLEL_GROUP"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_GRAPH_PARALLEL_GROUP</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils._DATA_PARALLEL_GROUP" title="core.common.gp_utils._DATA_PARALLEL_GROUP"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DATA_PARALLEL_GROUP</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.CopyToModelParallelRegion" title="core.common.gp_utils.CopyToModelParallelRegion"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CopyToModelParallelRegion</span></code></a></p></td>
+<td><p>Base class to create custom <cite>autograd.Function</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.ReduceFromModelParallelRegion" title="core.common.gp_utils.ReduceFromModelParallelRegion"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ReduceFromModelParallelRegion</span></code></a></p></td>
+<td><p>Base class to create custom <cite>autograd.Function</cite>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.ScatterToModelParallelRegion" title="core.common.gp_utils.ScatterToModelParallelRegion"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScatterToModelParallelRegion</span></code></a></p></td>
+<td><p>Base class to create custom <cite>autograd.Function</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.GatherFromModelParallelRegion" title="core.common.gp_utils.GatherFromModelParallelRegion"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GatherFromModelParallelRegion</span></code></a></p></td>
+<td><p>Base class to create custom <cite>autograd.Function</cite>.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.ensure_div" title="core.common.gp_utils.ensure_div"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ensure_div</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.divide_and_check_no_remainder" title="core.common.gp_utils.divide_and_check_no_remainder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">divide_and_check_no_remainder</span></code></a>(→ int)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.setup_gp" title="core.common.gp_utils.setup_gp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setup_gp</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.cleanup_gp" title="core.common.gp_utils.cleanup_gp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cleanup_gp</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.initialized" title="core.common.gp_utils.initialized"><code class="xref py py-obj docutils literal notranslate"><span class="pre">initialized</span></code></a>(→ bool)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.get_dp_group" title="core.common.gp_utils.get_dp_group"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dp_group</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.get_gp_group" title="core.common.gp_utils.get_gp_group"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_gp_group</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.get_dp_rank" title="core.common.gp_utils.get_dp_rank"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dp_rank</span></code></a>(→ int)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.get_gp_rank" title="core.common.gp_utils.get_gp_rank"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_gp_rank</span></code></a>(→ int)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.get_dp_world_size" title="core.common.gp_utils.get_dp_world_size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dp_world_size</span></code></a>(→ int)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.get_gp_world_size" title="core.common.gp_utils.get_gp_world_size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_gp_world_size</span></code></a>(→ int)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.pad_tensor" title="core.common.gp_utils.pad_tensor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pad_tensor</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.trim_tensor" title="core.common.gp_utils.trim_tensor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trim_tensor</span></code></a>(tensor[, sizes, dim])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils._split_tensor" title="core.common.gp_utils._split_tensor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_split_tensor</span></code></a>(tensor, num_parts[, dim, contiguous_chunks])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils._reduce" title="core.common.gp_utils._reduce"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_reduce</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils._split" title="core.common.gp_utils._split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_split</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils._gather" title="core.common.gp_utils._gather"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_gather</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils._gather_with_padding" title="core.common.gp_utils._gather_with_padding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_gather_with_padding</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.copy_to_model_parallel_region" title="core.common.gp_utils.copy_to_model_parallel_region"><code class="xref py py-obj docutils literal notranslate"><span class="pre">copy_to_model_parallel_region</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.reduce_from_model_parallel_region" title="core.common.gp_utils.reduce_from_model_parallel_region"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reduce_from_model_parallel_region</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.gp_utils.scatter_to_model_parallel_region" title="core.common.gp_utils.scatter_to_model_parallel_region"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter_to_model_parallel_region</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.gp_utils.gather_from_model_parallel_region" title="core.common.gp_utils.gather_from_model_parallel_region"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gather_from_model_parallel_region</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.gp_utils._GRAPH_PARALLEL_GROUP">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">_GRAPH_PARALLEL_GROUP</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.gp_utils._GRAPH_PARALLEL_GROUP" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.gp_utils._DATA_PARALLEL_GROUP">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">_DATA_PARALLEL_GROUP</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.gp_utils._DATA_PARALLEL_GROUP" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.ensure_div">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">ensure_div</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.gp_utils.ensure_div" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.divide_and_check_no_remainder">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">divide_and_check_no_remainder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.gp_utils.divide_and_check_no_remainder" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.setup_gp">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">setup_gp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.gp_utils.setup_gp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.cleanup_gp">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">cleanup_gp</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.gp_utils.cleanup_gp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.initialized">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">initialized</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.gp_utils.initialized" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.get_dp_group">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">get_dp_group</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils.get_dp_group" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.get_gp_group">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">get_gp_group</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils.get_gp_group" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.get_dp_rank">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">get_dp_rank</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.gp_utils.get_dp_rank" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.get_gp_rank">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">get_gp_rank</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.gp_utils.get_gp_rank" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.get_dp_world_size">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">get_dp_world_size</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.gp_utils.get_dp_world_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.get_gp_world_size">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">get_gp_world_size</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.gp_utils.get_gp_world_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.pad_tensor">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">pad_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.pad_tensor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.trim_tensor">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">trim_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sizes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils.trim_tensor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils._split_tensor">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">_split_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_parts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">contiguous_chunks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils._split_tensor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils._reduce">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">_reduce</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils._reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils._split">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils._split" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils._gather">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">_gather</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils._gather" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils._gather_with_padding">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">_gather_with_padding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils._gather_with_padding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.gp_utils.CopyToModelParallelRegion">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">CopyToModelParallelRegion</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils.CopyToModelParallelRegion" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.autograd.Function</span></code></p>
+<p>Base class to create custom <cite>autograd.Function</cite>.</p>
+<p>To create a custom <cite>autograd.Function</cite>, subclass this class and implement
+the <a class="reference internal" href="#core.common.gp_utils.CopyToModelParallelRegion.forward" title="core.common.gp_utils.CopyToModelParallelRegion.forward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">forward()</span></code></a> and <a class="reference internal" href="#core.common.gp_utils.CopyToModelParallelRegion.backward" title="core.common.gp_utils.CopyToModelParallelRegion.backward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">backward()</span></code></a> static methods. Then, to use your custom
+op in the forward pass, call the class method <code class="docutils literal notranslate"><span class="pre">apply</span></code>. Do not call
+<a class="reference internal" href="#core.common.gp_utils.CopyToModelParallelRegion.forward" title="core.common.gp_utils.CopyToModelParallelRegion.forward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">forward()</span></code></a> directly.</p>
+<p>To ensure correctness and best performance, make sure you are calling the
+correct methods on <code class="docutils literal notranslate"><span class="pre">ctx</span></code> and validating your backward function using
+<code class="xref py py-func docutils literal notranslate"><span class="pre">torch.autograd.gradcheck()</span></code>.</p>
+<p>See <span class="xref std std-ref">extending-autograd</span> for more details on how to use this class.</p>
+<p>Examples:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="k">class</span><span class="w"> </span><span class="nc">Exp</span><span class="p">(</span><span class="n">Function</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="nd">@staticmethod</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">result</span> <span class="o">=</span> <span class="n">i</span><span class="o">.</span><span class="n">exp</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">ctx</span><span class="o">.</span><span class="n">save_for_backward</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="k">return</span> <span class="n">result</span>
+<span class="gp">&gt;&gt;&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="nd">@staticmethod</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="k">def</span><span class="w"> </span><span class="nf">backward</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">grad_output</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">result</span><span class="p">,</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">saved_tensors</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="k">return</span> <span class="n">grad_output</span> <span class="o">*</span> <span class="n">result</span>
+<span class="gp">&gt;&gt;&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Use it by calling the apply method:</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># xdoctest: +SKIP</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">output</span> <span class="o">=</span> <span class="n">Exp</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.gp_utils.CopyToModelParallelRegion.forward">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.CopyToModelParallelRegion.forward" title="Link to this definition">#</a></dt>
+<dd><p>Define the forward of the custom autograd Function.</p>
+<p>This function is to be overridden by all subclasses.
+There are two ways to define forward:</p>
+<p>Usage 1 (Combined forward and ctx):</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="n">ctx</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
+    <span class="k">pass</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p>It must accept a context ctx as the first argument, followed by any
+number of arguments (tensors or other types).</p></li>
+<li><p>See <span class="xref std std-ref">combining-forward-context</span> for more details</p></li>
+</ul>
+<p>Usage 2 (Separate forward and ctx):</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
+    <span class="k">pass</span>
+
+<span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">setup_context</span><span class="p">(</span><span class="n">ctx</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">inputs</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Any</span><span class="p">,</span> <span class="o">...</span><span class="p">],</span> <span class="n">output</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
+    <span class="k">pass</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p>The forward no longer accepts a ctx argument.</p></li>
+<li><p>Instead, you must also override the <code class="xref py py-meth docutils literal notranslate"><span class="pre">torch.autograd.Function.setup_context()</span></code>
+staticmethod to handle setting up the <code class="docutils literal notranslate"><span class="pre">ctx</span></code> object.
+<code class="docutils literal notranslate"><span class="pre">output</span></code> is the output of the forward, <code class="docutils literal notranslate"><span class="pre">inputs</span></code> are a Tuple of inputs
+to the forward.</p></li>
+<li><p>See <span class="xref std std-ref">extending-autograd</span> for more details</p></li>
+</ul>
+<p>The context can be used to store arbitrary data that can be then
+retrieved during the backward pass. Tensors should not be stored
+directly on <cite>ctx</cite> (though this is not currently enforced for
+backward compatibility). Instead, tensors should be saved either with
+<code class="xref py py-func docutils literal notranslate"><span class="pre">ctx.save_for_backward()</span></code> if they are intended to be used in
+<code class="docutils literal notranslate"><span class="pre">backward</span></code> (equivalently, <code class="docutils literal notranslate"><span class="pre">vjp</span></code>) or <code class="xref py py-func docutils literal notranslate"><span class="pre">ctx.save_for_forward()</span></code>
+if they are intended to be used for in <code class="docutils literal notranslate"><span class="pre">jvp</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.gp_utils.CopyToModelParallelRegion.backward">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">backward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grad_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.CopyToModelParallelRegion.backward" title="Link to this definition">#</a></dt>
+<dd><p>Define a formula for differentiating the operation with backward mode automatic differentiation.</p>
+<p>This function is to be overridden by all subclasses.
+(Defining this function is equivalent to defining the <code class="docutils literal notranslate"><span class="pre">vjp</span></code> function.)</p>
+<p>It must accept a context <code class="xref py py-attr docutils literal notranslate"><span class="pre">ctx</span></code> as the first argument, followed by
+as many outputs as the <a class="reference internal" href="#core.common.gp_utils.CopyToModelParallelRegion.forward" title="core.common.gp_utils.CopyToModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a> returned (None will be passed in
+for non tensor outputs of the forward function),
+and it should return as many tensors, as there were inputs to
+<a class="reference internal" href="#core.common.gp_utils.CopyToModelParallelRegion.forward" title="core.common.gp_utils.CopyToModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a>. Each argument is the gradient w.r.t the given output,
+and each returned value should be the gradient w.r.t. the
+corresponding input. If an input is not a Tensor or is a Tensor not
+requiring grads, you can just pass None as a gradient for that input.</p>
+<p>The context can be used to retrieve tensors saved during the forward
+pass. It also has an attribute <code class="xref py py-attr docutils literal notranslate"><span class="pre">ctx.needs_input_grad</span></code> as a tuple
+of booleans representing whether each input needs gradient. E.g.,
+<a class="reference internal" href="#core.common.gp_utils.CopyToModelParallelRegion.backward" title="core.common.gp_utils.CopyToModelParallelRegion.backward"><code class="xref py py-func docutils literal notranslate"><span class="pre">backward()</span></code></a> will have <code class="docutils literal notranslate"><span class="pre">ctx.needs_input_grad[0]</span> <span class="pre">=</span> <span class="pre">True</span></code> if the
+first input to <a class="reference internal" href="#core.common.gp_utils.CopyToModelParallelRegion.forward" title="core.common.gp_utils.CopyToModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a> needs gradient computed w.r.t. the
+output.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.gp_utils.ReduceFromModelParallelRegion">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">ReduceFromModelParallelRegion</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils.ReduceFromModelParallelRegion" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.autograd.Function</span></code></p>
+<p>Base class to create custom <cite>autograd.Function</cite>.</p>
+<p>To create a custom <cite>autograd.Function</cite>, subclass this class and implement
+the <a class="reference internal" href="#core.common.gp_utils.ReduceFromModelParallelRegion.forward" title="core.common.gp_utils.ReduceFromModelParallelRegion.forward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">forward()</span></code></a> and <a class="reference internal" href="#core.common.gp_utils.ReduceFromModelParallelRegion.backward" title="core.common.gp_utils.ReduceFromModelParallelRegion.backward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">backward()</span></code></a> static methods. Then, to use your custom
+op in the forward pass, call the class method <code class="docutils literal notranslate"><span class="pre">apply</span></code>. Do not call
+<a class="reference internal" href="#core.common.gp_utils.ReduceFromModelParallelRegion.forward" title="core.common.gp_utils.ReduceFromModelParallelRegion.forward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">forward()</span></code></a> directly.</p>
+<p>To ensure correctness and best performance, make sure you are calling the
+correct methods on <code class="docutils literal notranslate"><span class="pre">ctx</span></code> and validating your backward function using
+<code class="xref py py-func docutils literal notranslate"><span class="pre">torch.autograd.gradcheck()</span></code>.</p>
+<p>See <span class="xref std std-ref">extending-autograd</span> for more details on how to use this class.</p>
+<p>Examples:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="k">class</span><span class="w"> </span><span class="nc">Exp</span><span class="p">(</span><span class="n">Function</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="nd">@staticmethod</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">result</span> <span class="o">=</span> <span class="n">i</span><span class="o">.</span><span class="n">exp</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">ctx</span><span class="o">.</span><span class="n">save_for_backward</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="k">return</span> <span class="n">result</span>
+<span class="gp">&gt;&gt;&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="nd">@staticmethod</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="k">def</span><span class="w"> </span><span class="nf">backward</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">grad_output</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">result</span><span class="p">,</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">saved_tensors</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="k">return</span> <span class="n">grad_output</span> <span class="o">*</span> <span class="n">result</span>
+<span class="gp">&gt;&gt;&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Use it by calling the apply method:</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># xdoctest: +SKIP</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">output</span> <span class="o">=</span> <span class="n">Exp</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.gp_utils.ReduceFromModelParallelRegion.forward">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.ReduceFromModelParallelRegion.forward" title="Link to this definition">#</a></dt>
+<dd><p>Define the forward of the custom autograd Function.</p>
+<p>This function is to be overridden by all subclasses.
+There are two ways to define forward:</p>
+<p>Usage 1 (Combined forward and ctx):</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="n">ctx</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
+    <span class="k">pass</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p>It must accept a context ctx as the first argument, followed by any
+number of arguments (tensors or other types).</p></li>
+<li><p>See <span class="xref std std-ref">combining-forward-context</span> for more details</p></li>
+</ul>
+<p>Usage 2 (Separate forward and ctx):</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
+    <span class="k">pass</span>
+
+<span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">setup_context</span><span class="p">(</span><span class="n">ctx</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">inputs</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Any</span><span class="p">,</span> <span class="o">...</span><span class="p">],</span> <span class="n">output</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
+    <span class="k">pass</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p>The forward no longer accepts a ctx argument.</p></li>
+<li><p>Instead, you must also override the <code class="xref py py-meth docutils literal notranslate"><span class="pre">torch.autograd.Function.setup_context()</span></code>
+staticmethod to handle setting up the <code class="docutils literal notranslate"><span class="pre">ctx</span></code> object.
+<code class="docutils literal notranslate"><span class="pre">output</span></code> is the output of the forward, <code class="docutils literal notranslate"><span class="pre">inputs</span></code> are a Tuple of inputs
+to the forward.</p></li>
+<li><p>See <span class="xref std std-ref">extending-autograd</span> for more details</p></li>
+</ul>
+<p>The context can be used to store arbitrary data that can be then
+retrieved during the backward pass. Tensors should not be stored
+directly on <cite>ctx</cite> (though this is not currently enforced for
+backward compatibility). Instead, tensors should be saved either with
+<code class="xref py py-func docutils literal notranslate"><span class="pre">ctx.save_for_backward()</span></code> if they are intended to be used in
+<code class="docutils literal notranslate"><span class="pre">backward</span></code> (equivalently, <code class="docutils literal notranslate"><span class="pre">vjp</span></code>) or <code class="xref py py-func docutils literal notranslate"><span class="pre">ctx.save_for_forward()</span></code>
+if they are intended to be used for in <code class="docutils literal notranslate"><span class="pre">jvp</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.gp_utils.ReduceFromModelParallelRegion.backward">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">backward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grad_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.ReduceFromModelParallelRegion.backward" title="Link to this definition">#</a></dt>
+<dd><p>Define a formula for differentiating the operation with backward mode automatic differentiation.</p>
+<p>This function is to be overridden by all subclasses.
+(Defining this function is equivalent to defining the <code class="docutils literal notranslate"><span class="pre">vjp</span></code> function.)</p>
+<p>It must accept a context <code class="xref py py-attr docutils literal notranslate"><span class="pre">ctx</span></code> as the first argument, followed by
+as many outputs as the <a class="reference internal" href="#core.common.gp_utils.ReduceFromModelParallelRegion.forward" title="core.common.gp_utils.ReduceFromModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a> returned (None will be passed in
+for non tensor outputs of the forward function),
+and it should return as many tensors, as there were inputs to
+<a class="reference internal" href="#core.common.gp_utils.ReduceFromModelParallelRegion.forward" title="core.common.gp_utils.ReduceFromModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a>. Each argument is the gradient w.r.t the given output,
+and each returned value should be the gradient w.r.t. the
+corresponding input. If an input is not a Tensor or is a Tensor not
+requiring grads, you can just pass None as a gradient for that input.</p>
+<p>The context can be used to retrieve tensors saved during the forward
+pass. It also has an attribute <code class="xref py py-attr docutils literal notranslate"><span class="pre">ctx.needs_input_grad</span></code> as a tuple
+of booleans representing whether each input needs gradient. E.g.,
+<a class="reference internal" href="#core.common.gp_utils.ReduceFromModelParallelRegion.backward" title="core.common.gp_utils.ReduceFromModelParallelRegion.backward"><code class="xref py py-func docutils literal notranslate"><span class="pre">backward()</span></code></a> will have <code class="docutils literal notranslate"><span class="pre">ctx.needs_input_grad[0]</span> <span class="pre">=</span> <span class="pre">True</span></code> if the
+first input to <a class="reference internal" href="#core.common.gp_utils.ReduceFromModelParallelRegion.forward" title="core.common.gp_utils.ReduceFromModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a> needs gradient computed w.r.t. the
+output.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.gp_utils.ScatterToModelParallelRegion">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">ScatterToModelParallelRegion</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils.ScatterToModelParallelRegion" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.autograd.Function</span></code></p>
+<p>Base class to create custom <cite>autograd.Function</cite>.</p>
+<p>To create a custom <cite>autograd.Function</cite>, subclass this class and implement
+the <a class="reference internal" href="#core.common.gp_utils.ScatterToModelParallelRegion.forward" title="core.common.gp_utils.ScatterToModelParallelRegion.forward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">forward()</span></code></a> and <a class="reference internal" href="#core.common.gp_utils.ScatterToModelParallelRegion.backward" title="core.common.gp_utils.ScatterToModelParallelRegion.backward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">backward()</span></code></a> static methods. Then, to use your custom
+op in the forward pass, call the class method <code class="docutils literal notranslate"><span class="pre">apply</span></code>. Do not call
+<a class="reference internal" href="#core.common.gp_utils.ScatterToModelParallelRegion.forward" title="core.common.gp_utils.ScatterToModelParallelRegion.forward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">forward()</span></code></a> directly.</p>
+<p>To ensure correctness and best performance, make sure you are calling the
+correct methods on <code class="docutils literal notranslate"><span class="pre">ctx</span></code> and validating your backward function using
+<code class="xref py py-func docutils literal notranslate"><span class="pre">torch.autograd.gradcheck()</span></code>.</p>
+<p>See <span class="xref std std-ref">extending-autograd</span> for more details on how to use this class.</p>
+<p>Examples:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="k">class</span><span class="w"> </span><span class="nc">Exp</span><span class="p">(</span><span class="n">Function</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="nd">@staticmethod</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">result</span> <span class="o">=</span> <span class="n">i</span><span class="o">.</span><span class="n">exp</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">ctx</span><span class="o">.</span><span class="n">save_for_backward</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="k">return</span> <span class="n">result</span>
+<span class="gp">&gt;&gt;&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="nd">@staticmethod</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="k">def</span><span class="w"> </span><span class="nf">backward</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">grad_output</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">result</span><span class="p">,</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">saved_tensors</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="k">return</span> <span class="n">grad_output</span> <span class="o">*</span> <span class="n">result</span>
+<span class="gp">&gt;&gt;&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Use it by calling the apply method:</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># xdoctest: +SKIP</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">output</span> <span class="o">=</span> <span class="n">Exp</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.gp_utils.ScatterToModelParallelRegion.forward">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.ScatterToModelParallelRegion.forward" title="Link to this definition">#</a></dt>
+<dd><p>Define the forward of the custom autograd Function.</p>
+<p>This function is to be overridden by all subclasses.
+There are two ways to define forward:</p>
+<p>Usage 1 (Combined forward and ctx):</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="n">ctx</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
+    <span class="k">pass</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p>It must accept a context ctx as the first argument, followed by any
+number of arguments (tensors or other types).</p></li>
+<li><p>See <span class="xref std std-ref">combining-forward-context</span> for more details</p></li>
+</ul>
+<p>Usage 2 (Separate forward and ctx):</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
+    <span class="k">pass</span>
+
+<span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">setup_context</span><span class="p">(</span><span class="n">ctx</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">inputs</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Any</span><span class="p">,</span> <span class="o">...</span><span class="p">],</span> <span class="n">output</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
+    <span class="k">pass</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p>The forward no longer accepts a ctx argument.</p></li>
+<li><p>Instead, you must also override the <code class="xref py py-meth docutils literal notranslate"><span class="pre">torch.autograd.Function.setup_context()</span></code>
+staticmethod to handle setting up the <code class="docutils literal notranslate"><span class="pre">ctx</span></code> object.
+<code class="docutils literal notranslate"><span class="pre">output</span></code> is the output of the forward, <code class="docutils literal notranslate"><span class="pre">inputs</span></code> are a Tuple of inputs
+to the forward.</p></li>
+<li><p>See <span class="xref std std-ref">extending-autograd</span> for more details</p></li>
+</ul>
+<p>The context can be used to store arbitrary data that can be then
+retrieved during the backward pass. Tensors should not be stored
+directly on <cite>ctx</cite> (though this is not currently enforced for
+backward compatibility). Instead, tensors should be saved either with
+<code class="xref py py-func docutils literal notranslate"><span class="pre">ctx.save_for_backward()</span></code> if they are intended to be used in
+<code class="docutils literal notranslate"><span class="pre">backward</span></code> (equivalently, <code class="docutils literal notranslate"><span class="pre">vjp</span></code>) or <code class="xref py py-func docutils literal notranslate"><span class="pre">ctx.save_for_forward()</span></code>
+if they are intended to be used for in <code class="docutils literal notranslate"><span class="pre">jvp</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.gp_utils.ScatterToModelParallelRegion.backward">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">backward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grad_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils.ScatterToModelParallelRegion.backward" title="Link to this definition">#</a></dt>
+<dd><p>Define a formula for differentiating the operation with backward mode automatic differentiation.</p>
+<p>This function is to be overridden by all subclasses.
+(Defining this function is equivalent to defining the <code class="docutils literal notranslate"><span class="pre">vjp</span></code> function.)</p>
+<p>It must accept a context <code class="xref py py-attr docutils literal notranslate"><span class="pre">ctx</span></code> as the first argument, followed by
+as many outputs as the <a class="reference internal" href="#core.common.gp_utils.ScatterToModelParallelRegion.forward" title="core.common.gp_utils.ScatterToModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a> returned (None will be passed in
+for non tensor outputs of the forward function),
+and it should return as many tensors, as there were inputs to
+<a class="reference internal" href="#core.common.gp_utils.ScatterToModelParallelRegion.forward" title="core.common.gp_utils.ScatterToModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a>. Each argument is the gradient w.r.t the given output,
+and each returned value should be the gradient w.r.t. the
+corresponding input. If an input is not a Tensor or is a Tensor not
+requiring grads, you can just pass None as a gradient for that input.</p>
+<p>The context can be used to retrieve tensors saved during the forward
+pass. It also has an attribute <code class="xref py py-attr docutils literal notranslate"><span class="pre">ctx.needs_input_grad</span></code> as a tuple
+of booleans representing whether each input needs gradient. E.g.,
+<a class="reference internal" href="#core.common.gp_utils.ScatterToModelParallelRegion.backward" title="core.common.gp_utils.ScatterToModelParallelRegion.backward"><code class="xref py py-func docutils literal notranslate"><span class="pre">backward()</span></code></a> will have <code class="docutils literal notranslate"><span class="pre">ctx.needs_input_grad[0]</span> <span class="pre">=</span> <span class="pre">True</span></code> if the
+first input to <a class="reference internal" href="#core.common.gp_utils.ScatterToModelParallelRegion.forward" title="core.common.gp_utils.ScatterToModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a> needs gradient computed w.r.t. the
+output.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.gp_utils.GatherFromModelParallelRegion">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">GatherFromModelParallelRegion</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils.GatherFromModelParallelRegion" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.autograd.Function</span></code></p>
+<p>Base class to create custom <cite>autograd.Function</cite>.</p>
+<p>To create a custom <cite>autograd.Function</cite>, subclass this class and implement
+the <a class="reference internal" href="#core.common.gp_utils.GatherFromModelParallelRegion.forward" title="core.common.gp_utils.GatherFromModelParallelRegion.forward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">forward()</span></code></a> and <a class="reference internal" href="#core.common.gp_utils.GatherFromModelParallelRegion.backward" title="core.common.gp_utils.GatherFromModelParallelRegion.backward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">backward()</span></code></a> static methods. Then, to use your custom
+op in the forward pass, call the class method <code class="docutils literal notranslate"><span class="pre">apply</span></code>. Do not call
+<a class="reference internal" href="#core.common.gp_utils.GatherFromModelParallelRegion.forward" title="core.common.gp_utils.GatherFromModelParallelRegion.forward"><code class="xref py py-meth docutils literal notranslate"><span class="pre">forward()</span></code></a> directly.</p>
+<p>To ensure correctness and best performance, make sure you are calling the
+correct methods on <code class="docutils literal notranslate"><span class="pre">ctx</span></code> and validating your backward function using
+<code class="xref py py-func docutils literal notranslate"><span class="pre">torch.autograd.gradcheck()</span></code>.</p>
+<p>See <span class="xref std std-ref">extending-autograd</span> for more details on how to use this class.</p>
+<p>Examples:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="k">class</span><span class="w"> </span><span class="nc">Exp</span><span class="p">(</span><span class="n">Function</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="nd">@staticmethod</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">result</span> <span class="o">=</span> <span class="n">i</span><span class="o">.</span><span class="n">exp</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">ctx</span><span class="o">.</span><span class="n">save_for_backward</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="k">return</span> <span class="n">result</span>
+<span class="gp">&gt;&gt;&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="nd">@staticmethod</span>
+<span class="gp">&gt;&gt;&gt; </span>    <span class="k">def</span><span class="w"> </span><span class="nf">backward</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">grad_output</span><span class="p">):</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="n">result</span><span class="p">,</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">saved_tensors</span>
+<span class="gp">&gt;&gt;&gt; </span>        <span class="k">return</span> <span class="n">grad_output</span> <span class="o">*</span> <span class="n">result</span>
+<span class="gp">&gt;&gt;&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Use it by calling the apply method:</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># xdoctest: +SKIP</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">output</span> <span class="o">=</span> <span class="n">Exp</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.gp_utils.GatherFromModelParallelRegion.forward">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.GatherFromModelParallelRegion.forward" title="Link to this definition">#</a></dt>
+<dd><p>Define the forward of the custom autograd Function.</p>
+<p>This function is to be overridden by all subclasses.
+There are two ways to define forward:</p>
+<p>Usage 1 (Combined forward and ctx):</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="n">ctx</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
+    <span class="k">pass</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p>It must accept a context ctx as the first argument, followed by any
+number of arguments (tensors or other types).</p></li>
+<li><p>See <span class="xref std std-ref">combining-forward-context</span> for more details</p></li>
+</ul>
+<p>Usage 2 (Separate forward and ctx):</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
+    <span class="k">pass</span>
+
+<span class="nd">@staticmethod</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">setup_context</span><span class="p">(</span><span class="n">ctx</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">inputs</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Any</span><span class="p">,</span> <span class="o">...</span><span class="p">],</span> <span class="n">output</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
+    <span class="k">pass</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p>The forward no longer accepts a ctx argument.</p></li>
+<li><p>Instead, you must also override the <code class="xref py py-meth docutils literal notranslate"><span class="pre">torch.autograd.Function.setup_context()</span></code>
+staticmethod to handle setting up the <code class="docutils literal notranslate"><span class="pre">ctx</span></code> object.
+<code class="docutils literal notranslate"><span class="pre">output</span></code> is the output of the forward, <code class="docutils literal notranslate"><span class="pre">inputs</span></code> are a Tuple of inputs
+to the forward.</p></li>
+<li><p>See <span class="xref std std-ref">extending-autograd</span> for more details</p></li>
+</ul>
+<p>The context can be used to store arbitrary data that can be then
+retrieved during the backward pass. Tensors should not be stored
+directly on <cite>ctx</cite> (though this is not currently enforced for
+backward compatibility). Instead, tensors should be saved either with
+<code class="xref py py-func docutils literal notranslate"><span class="pre">ctx.save_for_backward()</span></code> if they are intended to be used in
+<code class="docutils literal notranslate"><span class="pre">backward</span></code> (equivalently, <code class="docutils literal notranslate"><span class="pre">vjp</span></code>) or <code class="xref py py-func docutils literal notranslate"><span class="pre">ctx.save_for_forward()</span></code>
+if they are intended to be used for in <code class="docutils literal notranslate"><span class="pre">jvp</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.gp_utils.GatherFromModelParallelRegion.backward">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">backward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grad_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.gp_utils.GatherFromModelParallelRegion.backward" title="Link to this definition">#</a></dt>
+<dd><p>Define a formula for differentiating the operation with backward mode automatic differentiation.</p>
+<p>This function is to be overridden by all subclasses.
+(Defining this function is equivalent to defining the <code class="docutils literal notranslate"><span class="pre">vjp</span></code> function.)</p>
+<p>It must accept a context <code class="xref py py-attr docutils literal notranslate"><span class="pre">ctx</span></code> as the first argument, followed by
+as many outputs as the <a class="reference internal" href="#core.common.gp_utils.GatherFromModelParallelRegion.forward" title="core.common.gp_utils.GatherFromModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a> returned (None will be passed in
+for non tensor outputs of the forward function),
+and it should return as many tensors, as there were inputs to
+<a class="reference internal" href="#core.common.gp_utils.GatherFromModelParallelRegion.forward" title="core.common.gp_utils.GatherFromModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a>. Each argument is the gradient w.r.t the given output,
+and each returned value should be the gradient w.r.t. the
+corresponding input. If an input is not a Tensor or is a Tensor not
+requiring grads, you can just pass None as a gradient for that input.</p>
+<p>The context can be used to retrieve tensors saved during the forward
+pass. It also has an attribute <code class="xref py py-attr docutils literal notranslate"><span class="pre">ctx.needs_input_grad</span></code> as a tuple
+of booleans representing whether each input needs gradient. E.g.,
+<a class="reference internal" href="#core.common.gp_utils.GatherFromModelParallelRegion.backward" title="core.common.gp_utils.GatherFromModelParallelRegion.backward"><code class="xref py py-func docutils literal notranslate"><span class="pre">backward()</span></code></a> will have <code class="docutils literal notranslate"><span class="pre">ctx.needs_input_grad[0]</span> <span class="pre">=</span> <span class="pre">True</span></code> if the
+first input to <a class="reference internal" href="#core.common.gp_utils.GatherFromModelParallelRegion.forward" title="core.common.gp_utils.GatherFromModelParallelRegion.forward"><code class="xref py py-func docutils literal notranslate"><span class="pre">forward()</span></code></a> needs gradient computed w.r.t. the
+output.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.copy_to_model_parallel_region">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">copy_to_model_parallel_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.copy_to_model_parallel_region" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.reduce_from_model_parallel_region">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">reduce_from_model_parallel_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.reduce_from_model_parallel_region" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.scatter_to_model_parallel_region">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">scatter_to_model_parallel_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.scatter_to_model_parallel_region" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.gp_utils.gather_from_model_parallel_region">
+<span class="sig-prename descclassname"><span class="pre">core.common.gp_utils.</span></span><span class="sig-name descname"><span class="pre">gather_from_model_parallel_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.gp_utils.gather_from_model_parallel_region" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            theme: "abcdef",
+            mode: "python"
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+            name: "python3",
+            path: "./autoapi/core/common/gp_utils"
+        },
+        predefinedOutput: true
+    }
+    </script>
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+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._GRAPH_PARALLEL_GROUP"><code class="docutils literal notranslate"><span class="pre">_GRAPH_PARALLEL_GROUP</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._DATA_PARALLEL_GROUP"><code class="docutils literal notranslate"><span class="pre">_DATA_PARALLEL_GROUP</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ensure_div"><code class="docutils literal notranslate"><span class="pre">ensure_div()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.divide_and_check_no_remainder"><code class="docutils literal notranslate"><span class="pre">divide_and_check_no_remainder()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.setup_gp"><code class="docutils literal notranslate"><span class="pre">setup_gp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.cleanup_gp"><code class="docutils literal notranslate"><span class="pre">cleanup_gp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.initialized"><code class="docutils literal notranslate"><span class="pre">initialized()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_dp_group"><code class="docutils literal notranslate"><span class="pre">get_dp_group()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_gp_group"><code class="docutils literal notranslate"><span class="pre">get_gp_group()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_dp_rank"><code class="docutils literal notranslate"><span class="pre">get_dp_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_gp_rank"><code class="docutils literal notranslate"><span class="pre">get_gp_rank()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_dp_world_size"><code class="docutils literal notranslate"><span class="pre">get_dp_world_size()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.get_gp_world_size"><code class="docutils literal notranslate"><span class="pre">get_gp_world_size()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.pad_tensor"><code class="docutils literal notranslate"><span class="pre">pad_tensor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.trim_tensor"><code class="docutils literal notranslate"><span class="pre">trim_tensor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._split_tensor"><code class="docutils literal notranslate"><span class="pre">_split_tensor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._reduce"><code class="docutils literal notranslate"><span class="pre">_reduce()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._split"><code class="docutils literal notranslate"><span class="pre">_split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._gather"><code class="docutils literal notranslate"><span class="pre">_gather()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils._gather_with_padding"><code class="docutils literal notranslate"><span class="pre">_gather_with_padding()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.CopyToModelParallelRegion"><code class="docutils literal notranslate"><span class="pre">CopyToModelParallelRegion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.CopyToModelParallelRegion.forward"><code class="docutils literal notranslate"><span class="pre">CopyToModelParallelRegion.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.CopyToModelParallelRegion.backward"><code class="docutils literal notranslate"><span class="pre">CopyToModelParallelRegion.backward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ReduceFromModelParallelRegion"><code class="docutils literal notranslate"><span class="pre">ReduceFromModelParallelRegion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ReduceFromModelParallelRegion.forward"><code class="docutils literal notranslate"><span class="pre">ReduceFromModelParallelRegion.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ReduceFromModelParallelRegion.backward"><code class="docutils literal notranslate"><span class="pre">ReduceFromModelParallelRegion.backward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ScatterToModelParallelRegion"><code class="docutils literal notranslate"><span class="pre">ScatterToModelParallelRegion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ScatterToModelParallelRegion.forward"><code class="docutils literal notranslate"><span class="pre">ScatterToModelParallelRegion.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.ScatterToModelParallelRegion.backward"><code class="docutils literal notranslate"><span class="pre">ScatterToModelParallelRegion.backward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.GatherFromModelParallelRegion"><code class="docutils literal notranslate"><span class="pre">GatherFromModelParallelRegion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.GatherFromModelParallelRegion.forward"><code class="docutils literal notranslate"><span class="pre">GatherFromModelParallelRegion.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.GatherFromModelParallelRegion.backward"><code class="docutils literal notranslate"><span class="pre">GatherFromModelParallelRegion.backward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.copy_to_model_parallel_region"><code class="docutils literal notranslate"><span class="pre">copy_to_model_parallel_region()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.reduce_from_model_parallel_region"><code class="docutils literal notranslate"><span class="pre">reduce_from_model_parallel_region()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.scatter_to_model_parallel_region"><code class="docutils literal notranslate"><span class="pre">scatter_to_model_parallel_region()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.gp_utils.gather_from_model_parallel_region"><code class="docutils literal notranslate"><span class="pre">gather_from_model_parallel_region()</span></code></a></li>
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+    <h1>core.common.hpo_utils</h1>
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.hpo_utils.tune_reporter"><code class="docutils literal notranslate"><span class="pre">tune_reporter()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.hpo_utils.label_metric_dict"><code class="docutils literal notranslate"><span class="pre">label_metric_dict()</span></code></a></li>
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+                  
+  <section id="module-core.common.hpo_utils">
+<span id="core-common-hpo-utils"></span><h1>core.common.hpo_utils<a class="headerlink" href="#module-core.common.hpo_utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.hpo_utils.tune_reporter" title="core.common.hpo_utils.tune_reporter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tune_reporter</span></code></a>(→ None)</p></td>
+<td><p>Wrapper function for tune.report()</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.hpo_utils.label_metric_dict" title="core.common.hpo_utils.label_metric_dict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">label_metric_dict</span></code></a>(metric_dict, split)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.hpo_utils.tune_reporter">
+<span class="sig-prename descclassname"><span class="pre">core.common.hpo_utils.</span></span><span class="sig-name descname"><span class="pre">tune_reporter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">iters</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_metrics</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_metrics</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric_to_opt</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'val_loss'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'min'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.hpo_utils.tune_reporter" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper function for tune.report()</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>iters</strong> (<em>dict</em>) – dict with training iteration info (e.g. steps, epochs)</p></li>
+<li><p><strong>train_metrics</strong> (<em>dict</em>) – train metrics dict</p></li>
+<li><p><strong>val_metrics</strong> (<em>dict</em>) – val metrics dict</p></li>
+<li><p><strong>test_metrics</strong> (<em>dict</em><em>, </em><em>optional</em>) – test metrics dict, default is None</p></li>
+<li><p><strong>metric_to_opt</strong> (<em>str</em><em>, </em><em>optional</em>) – str for val metric to optimize, default is val_loss</p></li>
+<li><p><strong>min_max</strong> (<em>str</em><em>, </em><em>optional</em>) – either “min” or “max”, determines whether metric_to_opt is to be minimized or maximized, default is min</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.hpo_utils.label_metric_dict">
+<span class="sig-prename descclassname"><span class="pre">core.common.hpo_utils.</span></span><span class="sig-name descname"><span class="pre">label_metric_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metric_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.hpo_utils.label_metric_dict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.hpo_utils.tune_reporter"><code class="docutils literal notranslate"><span class="pre">tune_reporter()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.hpo_utils.label_metric_dict"><code class="docutils literal notranslate"><span class="pre">label_metric_dict()</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger"><code class="docutils literal notranslate"><span class="pre">Logger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.config"><code class="docutils literal notranslate"><span class="pre">Logger.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.watch"><code class="docutils literal notranslate"><span class="pre">Logger.watch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.log"><code class="docutils literal notranslate"><span class="pre">Logger.log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.log_plots"><code class="docutils literal notranslate"><span class="pre">Logger.log_plots()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.mark_preempting"><code class="docutils literal notranslate"><span class="pre">Logger.mark_preempting()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.log_summary"><code class="docutils literal notranslate"><span class="pre">Logger.log_summary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.log_artifact"><code class="docutils literal notranslate"><span class="pre">Logger.log_artifact()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger"><code class="docutils literal notranslate"><span class="pre">WandBLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.watch"><code class="docutils literal notranslate"><span class="pre">WandBLogger.watch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log_plots"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log_plots()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log_table"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log_table()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log_summary"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log_summary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.mark_preempting"><code class="docutils literal notranslate"><span class="pre">WandBLogger.mark_preempting()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log_artifact"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log_artifact()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.writer"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.writer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.watch"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.watch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.log"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.mark_preempting"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.mark_preempting()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.log_plots"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.log_plots()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.log_summary"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.log_summary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.log_artifact"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.log_artifact()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger._instance"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger._instance</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.initialized"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.initialized()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.init_wandb"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.init_wandb()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.get_instance"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.get_instance()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.watch"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.watch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.log"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.log_table"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.log_table()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.log_summary"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.log_summary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.mark_preempting"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.mark_preempting()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.log_artifact"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.log_artifact()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.log_stats"><code class="docutils literal notranslate"><span class="pre">log_stats()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.logger">
+<span id="core-common-logger"></span><h1>core.common.logger<a class="headerlink" href="#module-core.common.logger" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.logger.Logger" title="core.common.logger.Logger"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Logger</span></code></a></p></td>
+<td><p>Generic class to interface with various logging modules, e.g. wandb,</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.logger.WandBLogger" title="core.common.logger.WandBLogger"><code class="xref py py-obj docutils literal notranslate"><span class="pre">WandBLogger</span></code></a></p></td>
+<td><p>Generic class to interface with various logging modules, e.g. wandb,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.logger.TensorboardLogger" title="core.common.logger.TensorboardLogger"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TensorboardLogger</span></code></a></p></td>
+<td><p>Generic class to interface with various logging modules, e.g. wandb,</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.logger.WandBSingletonLogger" title="core.common.logger.WandBSingletonLogger"><code class="xref py py-obj docutils literal notranslate"><span class="pre">WandBSingletonLogger</span></code></a></p></td>
+<td><p>Singleton version of wandb logger, this forces a single instance of the logger to be created and used from anywhere in the code (not just from the trainer).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.logger.log_stats" title="core.common.logger.log_stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_stats</span></code></a>(x, prefix)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.logger.Logger">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.logger.</span></span><span class="sig-name descname"><span class="pre">Logger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.Logger" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
+<p>Generic class to interface with various logging modules, e.g. wandb,
+tensorboard, etc.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.logger.Logger.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.common.logger.Logger.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.Logger.watch">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">watch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1000</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.Logger.watch" title="Link to this definition">#</a></dt>
+<dd><p>Monitor parameters and gradients.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.Logger.log">
+<span class="sig-name descname"><span class="pre">log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">update_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.Logger.log" title="Link to this definition">#</a></dt>
+<dd><p>Log some values.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.Logger.log_plots">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_plots</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">plots</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.Logger.log_plots" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.Logger.mark_preempting">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">mark_preempting</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.Logger.mark_preempting" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.Logger.log_summary">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_summary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">summary_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.Logger.log_summary" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.Logger.log_artifact">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_artifact</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_location</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.Logger.log_artifact" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.logger.WandBLogger">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.logger.</span></span><span class="sig-name descname"><span class="pre">WandBLogger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.WandBLogger" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.common.logger.Logger" title="core.common.logger.Logger"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Logger</span></code></a></p>
+<p>Generic class to interface with various logging modules, e.g. wandb,
+tensorboard, etc.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBLogger.watch">
+<span class="sig-name descname"><span class="pre">watch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1000</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBLogger.watch" title="Link to this definition">#</a></dt>
+<dd><p>Monitor parameters and gradients.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBLogger.log">
+<span class="sig-name descname"><span class="pre">log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">update_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBLogger.log" title="Link to this definition">#</a></dt>
+<dd><p>Log some values.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBLogger.log_plots">
+<span class="sig-name descname"><span class="pre">log_plots</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">plots</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">caption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBLogger.log_plots" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBLogger.log_table">
+<span class="sig-name descname"><span class="pre">log_table</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">commit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBLogger.log_table" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBLogger.log_summary">
+<span class="sig-name descname"><span class="pre">log_summary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">summary_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.WandBLogger.log_summary" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBLogger.mark_preempting">
+<span class="sig-name descname"><span class="pre">mark_preempting</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBLogger.mark_preempting" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBLogger.log_artifact">
+<span class="sig-name descname"><span class="pre">log_artifact</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_location</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBLogger.log_artifact" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.logger.TensorboardLogger">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.logger.</span></span><span class="sig-name descname"><span class="pre">TensorboardLogger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.TensorboardLogger" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.common.logger.Logger" title="core.common.logger.Logger"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Logger</span></code></a></p>
+<p>Generic class to interface with various logging modules, e.g. wandb,
+tensorboard, etc.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.logger.TensorboardLogger.writer">
+<span class="sig-name descname"><span class="pre">writer</span></span><a class="headerlink" href="#core.common.logger.TensorboardLogger.writer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.TensorboardLogger.watch">
+<span class="sig-name descname"><span class="pre">watch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1000</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.logger.TensorboardLogger.watch" title="Link to this definition">#</a></dt>
+<dd><p>Monitor parameters and gradients.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.TensorboardLogger.log">
+<span class="sig-name descname"><span class="pre">log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">update_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.TensorboardLogger.log" title="Link to this definition">#</a></dt>
+<dd><p>Log some values.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.TensorboardLogger.mark_preempting">
+<span class="sig-name descname"><span class="pre">mark_preempting</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.TensorboardLogger.mark_preempting" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.TensorboardLogger.log_plots">
+<span class="sig-name descname"><span class="pre">log_plots</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">plots</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.TensorboardLogger.log_plots" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.TensorboardLogger.log_summary">
+<span class="sig-name descname"><span class="pre">log_summary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">summary_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.TensorboardLogger.log_summary" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.TensorboardLogger.log_artifact">
+<span class="sig-name descname"><span class="pre">log_artifact</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_location</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.TensorboardLogger.log_artifact" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.logger.</span></span><span class="sig-name descname"><span class="pre">WandBSingletonLogger</span></span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger" title="Link to this definition">#</a></dt>
+<dd><p>Singleton version of wandb logger, this forces a single instance of the logger to be created and used from anywhere in the code (not just from the trainer).
+This will replace the original WandBLogger.</p>
+<p>We initialize wandb instance somewhere in the trainer/runner globally:</p>
+<p>WandBSingletonLogger.init_wandb(…)</p>
+<p>Then from anywhere in the code we can fetch the singleton instance and log to wandb,
+note this allows you to log without knowing explicitly which step you are on
+see: <a class="reference external" href="https://docs.wandb.ai/ref/python/log/#the-wb-step">https://docs.wandb.ai/ref/python/log/#the-wb-step</a> for more details</p>
+<p>WandBSingletonLogger.get_instance().log({“some_value”: value}, commit=False)</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger._instance">
+<span class="sig-name descname"><span class="pre">_instance</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.logger.WandBSingletonLogger._instance" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger.initialized">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">initialized</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger.initialized" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger.init_wandb">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">init_wandb</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">project</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger.init_wandb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger.get_instance">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_instance</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger.get_instance" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger.watch">
+<span class="sig-name descname"><span class="pre">watch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1000</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger.watch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger.log">
+<span class="sig-name descname"><span class="pre">log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">update_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">commit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger.log" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger.log_table">
+<span class="sig-name descname"><span class="pre">log_table</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">commit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger.log_table" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger.log_summary">
+<span class="sig-name descname"><span class="pre">log_summary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">summary_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger.log_summary" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger.mark_preempting">
+<span class="sig-name descname"><span class="pre">mark_preempting</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger.mark_preempting" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.logger.WandBSingletonLogger.log_artifact">
+<span class="sig-name descname"><span class="pre">log_artifact</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_location</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.logger.WandBSingletonLogger.log_artifact" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.logger.log_stats">
+<span class="sig-prename descclassname"><span class="pre">core.common.logger.</span></span><span class="sig-name descname"><span class="pre">log_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.logger.log_stats" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/common/logger"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger"><code class="docutils literal notranslate"><span class="pre">Logger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.config"><code class="docutils literal notranslate"><span class="pre">Logger.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.watch"><code class="docutils literal notranslate"><span class="pre">Logger.watch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.log"><code class="docutils literal notranslate"><span class="pre">Logger.log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.log_plots"><code class="docutils literal notranslate"><span class="pre">Logger.log_plots()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.mark_preempting"><code class="docutils literal notranslate"><span class="pre">Logger.mark_preempting()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.log_summary"><code class="docutils literal notranslate"><span class="pre">Logger.log_summary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.Logger.log_artifact"><code class="docutils literal notranslate"><span class="pre">Logger.log_artifact()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger"><code class="docutils literal notranslate"><span class="pre">WandBLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.watch"><code class="docutils literal notranslate"><span class="pre">WandBLogger.watch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log_plots"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log_plots()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log_table"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log_table()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log_summary"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log_summary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.mark_preempting"><code class="docutils literal notranslate"><span class="pre">WandBLogger.mark_preempting()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBLogger.log_artifact"><code class="docutils literal notranslate"><span class="pre">WandBLogger.log_artifact()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.writer"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.writer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.watch"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.watch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.log"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.mark_preempting"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.mark_preempting()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.log_plots"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.log_plots()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.log_summary"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.log_summary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.TensorboardLogger.log_artifact"><code class="docutils literal notranslate"><span class="pre">TensorboardLogger.log_artifact()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger._instance"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger._instance</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.initialized"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.initialized()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.init_wandb"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.init_wandb()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.get_instance"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.get_instance()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.watch"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.watch()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.log"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.log()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.log_table"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.log_table()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.log_summary"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.log_summary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.mark_preempting"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.mark_preempting()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.WandBSingletonLogger.log_artifact"><code class="docutils literal notranslate"><span class="pre">WandBSingletonLogger.log_artifact()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.logger.log_stats"><code class="docutils literal notranslate"><span class="pre">log_stats()</span></code></a></li>
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+  <section id="module-core.common.profiler_utils">
+<span id="core-common-profiler-utils"></span><h1>core.common.profiler_utils<a class="headerlink" href="#module-core.common.profiler_utils" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.profiler_utils.get_default_profiler_handler" title="core.common.profiler_utils.get_default_profiler_handler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_default_profiler_handler</span></code></a>(run_id, output_dir, logger)</p></td>
+<td><p>Get a standard callback handle for the pytorch profiler</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.profiler_utils.get_profile_schedule" title="core.common.profiler_utils.get_profile_schedule"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_profile_schedule</span></code></a>([wait, warmup, active])</p></td>
+<td><p>Get a profile schedule and total number of steps to run</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.profiler_utils.get_default_profiler_handler">
+<span class="sig-prename descclassname"><span class="pre">core.common.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">get_default_profiler_handler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">run_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.common.logger.Logger</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.profiler_utils.get_default_profiler_handler" title="Link to this definition">#</a></dt>
+<dd><p>Get a standard callback handle for the pytorch profiler</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.profiler_utils.get_profile_schedule">
+<span class="sig-prename descclassname"><span class="pre">core.common.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">get_profile_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">wait</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">warmup</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">active</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.profiler_utils.get_profile_schedule" title="Link to this definition">#</a></dt>
+<dd><p>Get a profile schedule and total number of steps to run
+check pytorch docs on the meaning of these paramters:
+<a class="reference external" href="https://pytorch.org/docs/stable/profiler.html#torch.profiler.schedule">https://pytorch.org/docs/stable/profiler.html#torch.profiler.schedule</a>
+Example usage:
+<a href="#id1"><span class="problematic" id="id2">``</span></a>`
+trace_handler = get_default_profiler_handler(run_id = self.config[“cmd”][“timestamp_id”],</p>
+<blockquote>
+<div><p>output_dir = self.config[“cmd”][“results_dir”],
+logger = self.logger)</p>
+</div></blockquote>
+<p>profile_schedule, total_profile_steps = get_profile_schedule()</p>
+<dl>
+<dt>with profile(</dt><dd><p>activities=[ProfilerActivity.CPU, ProfilerActivity.CUDA],
+schedule=profile_schedule,
+on_trace_ready=trace_handler</p>
+</dd>
+<dt>) as p:</dt><dd><dl>
+<dt>for i in steps:</dt><dd><p>&lt;code block to profile&gt;
+if i &lt; total_profile_steps:</p>
+<blockquote>
+<div><p>p.step()</p>
+</div></blockquote>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.profiler_utils.get_default_profiler_handler"><code class="docutils literal notranslate"><span class="pre">get_default_profiler_handler()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.profiler_utils.get_profile_schedule"><code class="docutils literal notranslate"><span class="pre">get_profile_schedule()</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.R"><code class="docutils literal notranslate"><span class="pre">R</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.NestedDict"><code class="docutils literal notranslate"><span class="pre">NestedDict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry._get_absolute_mapping"><code class="docutils literal notranslate"><span class="pre">_get_absolute_mapping()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry"><code class="docutils literal notranslate"><span class="pre">Registry</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.mapping"><code class="docutils literal notranslate"><span class="pre">Registry.mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_task"><code class="docutils literal notranslate"><span class="pre">Registry.register_task()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_dataset"><code class="docutils literal notranslate"><span class="pre">Registry.register_dataset()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_loss"><code class="docutils literal notranslate"><span class="pre">Registry.register_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_model"><code class="docutils literal notranslate"><span class="pre">Registry.register_model()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_logger"><code class="docutils literal notranslate"><span class="pre">Registry.register_logger()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_trainer"><code class="docutils literal notranslate"><span class="pre">Registry.register_trainer()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register"><code class="docutils literal notranslate"><span class="pre">Registry.register()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.__import_error"><code class="docutils literal notranslate"><span class="pre">Registry.__import_error()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_task_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_task_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_dataset_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_dataset_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_loss_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_loss_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_model_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_model_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_logger_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_logger_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_trainer_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_trainer_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get"><code class="docutils literal notranslate"><span class="pre">Registry.get()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.unregister"><code class="docutils literal notranslate"><span class="pre">Registry.unregister()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.registry"><code class="docutils literal notranslate"><span class="pre">registry</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.registry">
+<span id="core-common-registry"></span><h1>core.common.registry<a class="headerlink" href="#module-core.common.registry" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<p># Copyright (c) Meta, Inc. and its affiliates.
+# Borrowed from <a class="github reference external" href="https://github.com/facebookresearch/pythia/blob/master/pythia/common/registry.py">facebookresearch/pythia</a>.</p>
+<p>Registry is central source of truth. Inspired from Redux’s concept of
+global store, Registry maintains mappings of various information to unique
+keys. Special functions in registry can be used as decorators to register
+different kind of classes.</p>
+<p>Import the global registry object using</p>
+<p><code class="docutils literal notranslate"><span class="pre">from</span> <span class="pre">fairchem.core.common.registry</span> <span class="pre">import</span> <span class="pre">registry</span></code></p>
+<p>Various decorators for registry different kind of classes with unique keys</p>
+<ul class="simple">
+<li><p>Register a model: <code class="docutils literal notranslate"><span class="pre">&#64;registry.register_model</span></code></p></li>
+</ul>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.registry.R" title="core.common.registry.R"><code class="xref py py-obj docutils literal notranslate"><span class="pre">R</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.registry.NestedDict" title="core.common.registry.NestedDict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NestedDict</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.registry.registry" title="core.common.registry.registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">registry</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.registry.Registry" title="core.common.registry.Registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Registry</span></code></a></p></td>
+<td><p>Class for registry object which acts as central source of truth.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.registry._get_absolute_mapping" title="core.common.registry._get_absolute_mapping"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_get_absolute_mapping</span></code></a>(name)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.registry.R">
+<span class="sig-prename descclassname"><span class="pre">core.common.registry.</span></span><span class="sig-name descname"><span class="pre">R</span></span><a class="headerlink" href="#core.common.registry.R" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.registry.NestedDict">
+<span class="sig-prename descclassname"><span class="pre">core.common.registry.</span></span><span class="sig-name descname"><span class="pre">NestedDict</span></span><a class="headerlink" href="#core.common.registry.NestedDict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.registry._get_absolute_mapping">
+<span class="sig-prename descclassname"><span class="pre">core.common.registry.</span></span><span class="sig-name descname"><span class="pre">_get_absolute_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry._get_absolute_mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.registry.Registry">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.registry.</span></span><span class="sig-name descname"><span class="pre">Registry</span></span><a class="headerlink" href="#core.common.registry.Registry" title="Link to this definition">#</a></dt>
+<dd><p>Class for registry object which acts as central source of truth.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.registry.Registry.mapping">
+<span class="sig-name descname"><span class="pre">mapping</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">ClassVar</span><span class="p"><span class="pre">[</span></span><span class="pre">NestedDict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.common.registry.Registry.mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.register_task">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">register_task</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.register_task" title="Link to this definition">#</a></dt>
+<dd><p>Register a new task to registry with key ‘name’
+:param name: Key with which the task will be registered.</p>
+<dl>
+<dt>Usage::</dt><dd><p>from fairchem.core.common.registry import registry
+from fairchem.core.tasks import BaseTask
+&#64;registry.register_task(“train”)
+class TrainTask(BaseTask):</p>
+<blockquote>
+<div><p>…</p>
+</div></blockquote>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.register_dataset">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">register_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.register_dataset" title="Link to this definition">#</a></dt>
+<dd><p>Register a dataset to registry with key ‘name’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> – Key with which the dataset will be registered.</p>
+</dd>
+</dl>
+<p>Usage:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">registry</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">BaseDataset</span>
+
+<span class="nd">@registry</span><span class="o">.</span><span class="n">register_dataset</span><span class="p">(</span><span class="s2">&quot;qm9&quot;</span><span class="p">)</span>
+<span class="k">class</span><span class="w"> </span><span class="nc">QM9</span><span class="p">(</span><span class="n">BaseDataset</span><span class="p">):</span>
+    <span class="o">...</span>
+</pre></div>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.register_loss">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">register_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.register_loss" title="Link to this definition">#</a></dt>
+<dd><p>Register a loss to registry with key ‘name’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> – Key with which the loss will be registered.</p>
+</dd>
+</dl>
+<p>Usage:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">registry</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">torch</span><span class="w"> </span><span class="kn">import</span> <span class="n">nn</span>
+
+<span class="nd">@registry</span><span class="o">.</span><span class="n">register_loss</span><span class="p">(</span><span class="s2">&quot;mae&quot;</span><span class="p">)</span>
+<span class="k">class</span><span class="w"> </span><span class="nc">MAELoss</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="o">...</span>
+</pre></div>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.register_model">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">register_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.register_model" title="Link to this definition">#</a></dt>
+<dd><p>Register a model to registry with key ‘name’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> – Key with which the model will be registered.</p>
+</dd>
+</dl>
+<p>Usage:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">registry</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.modules.layers</span><span class="w"> </span><span class="kn">import</span> <span class="n">CGCNNConv</span>
+
+<span class="nd">@registry</span><span class="o">.</span><span class="n">register_model</span><span class="p">(</span><span class="s2">&quot;cgcnn&quot;</span><span class="p">)</span>
+<span class="k">class</span><span class="w"> </span><span class="nc">CGCNN</span><span class="p">():</span>
+    <span class="o">...</span>
+</pre></div>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.register_logger">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">register_logger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.register_logger" title="Link to this definition">#</a></dt>
+<dd><p>Register a logger to registry with key ‘name’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> – Key with which the logger will be registered.</p>
+</dd>
+</dl>
+<p>Usage:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">registry</span>
+
+<span class="nd">@registry</span><span class="o">.</span><span class="n">register_logger</span><span class="p">(</span><span class="s2">&quot;wandb&quot;</span><span class="p">)</span>
+<span class="k">class</span><span class="w"> </span><span class="nc">WandBLogger</span><span class="p">():</span>
+    <span class="o">...</span>
+</pre></div>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.register_trainer">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">register_trainer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.register_trainer" title="Link to this definition">#</a></dt>
+<dd><p>Register a trainer to registry with key ‘name’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> – Key with which the trainer will be registered.</p>
+</dd>
+</dl>
+<p>Usage:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">registry</span>
+
+<span class="nd">@registry</span><span class="o">.</span><span class="n">register_trainer</span><span class="p">(</span><span class="s2">&quot;active_discovery&quot;</span><span class="p">)</span>
+<span class="k">class</span><span class="w"> </span><span class="nc">ActiveDiscoveryTrainer</span><span class="p">():</span>
+    <span class="o">...</span>
+</pre></div>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.register">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">register</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">obj</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.registry.Registry.register" title="Link to this definition">#</a></dt>
+<dd><p>Register an item to registry with key ‘name’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> – Key with which the item will be registered.</p>
+</dd>
+</dl>
+<p>Usage:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">registry</span>
+
+<span class="n">registry</span><span class="o">.</span><span class="n">register</span><span class="p">(</span><span class="s2">&quot;config&quot;</span><span class="p">,</span> <span class="p">{})</span>
+</pre></div>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.__import_error">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__import_error</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapping_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">RuntimeError</span></span></span><a class="headerlink" href="#core.common.registry.Registry.__import_error" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.get_class">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mapping_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.get_class" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.get_task_class">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_task_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.get_task_class" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.get_dataset_class">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_dataset_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.get_dataset_class" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.get_loss_class">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_loss_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.get_loss_class" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.get_model_class">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_model_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.get_model_class" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.get_logger_class">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_logger_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.get_logger_class" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.get_trainer_class">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_trainer_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.get_trainer_class" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.get">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_warning</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.get" title="Link to this definition">#</a></dt>
+<dd><p>Get an item from registry with key ‘name’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>string</em>) – Key whose value needs to be retrieved.</p></li>
+<li><p><strong>default</strong> – If passed and key is not in registry, default value will
+be returned with a warning. Default: None</p></li>
+<li><p><strong>no_warning</strong> (<em>bool</em>) – If passed as True, warning when key doesn’t exist
+will not be generated. Useful for cgcnn’s
+internal operations. Default: False</p></li>
+</ul>
+</dd>
+</dl>
+<p>Usage:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">registry</span>
+
+<span class="n">config</span> <span class="o">=</span> <span class="n">registry</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;config&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.registry.Registry.unregister">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">unregister</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.registry.Registry.unregister" title="Link to this definition">#</a></dt>
+<dd><p>Remove an item from registry with key ‘name’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> – Key which needs to be removed.</p>
+</dd>
+</dl>
+<p>Usage:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">registry</span>
+
+<span class="n">config</span> <span class="o">=</span> <span class="n">registry</span><span class="o">.</span><span class="n">unregister</span><span class="p">(</span><span class="s2">&quot;config&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.registry.registry">
+<span class="sig-prename descclassname"><span class="pre">core.common.registry.</span></span><span class="sig-name descname"><span class="pre">registry</span></span><a class="headerlink" href="#core.common.registry.registry" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
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+        },
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.R"><code class="docutils literal notranslate"><span class="pre">R</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.NestedDict"><code class="docutils literal notranslate"><span class="pre">NestedDict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry._get_absolute_mapping"><code class="docutils literal notranslate"><span class="pre">_get_absolute_mapping()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry"><code class="docutils literal notranslate"><span class="pre">Registry</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.mapping"><code class="docutils literal notranslate"><span class="pre">Registry.mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_task"><code class="docutils literal notranslate"><span class="pre">Registry.register_task()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_dataset"><code class="docutils literal notranslate"><span class="pre">Registry.register_dataset()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_loss"><code class="docutils literal notranslate"><span class="pre">Registry.register_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_model"><code class="docutils literal notranslate"><span class="pre">Registry.register_model()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_logger"><code class="docutils literal notranslate"><span class="pre">Registry.register_logger()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register_trainer"><code class="docutils literal notranslate"><span class="pre">Registry.register_trainer()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.register"><code class="docutils literal notranslate"><span class="pre">Registry.register()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.__import_error"><code class="docutils literal notranslate"><span class="pre">Registry.__import_error()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_task_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_task_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_dataset_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_dataset_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_loss_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_loss_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_model_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_model_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_logger_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_logger_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get_trainer_class"><code class="docutils literal notranslate"><span class="pre">Registry.get_trainer_class()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.get"><code class="docutils literal notranslate"><span class="pre">Registry.get()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.Registry.unregister"><code class="docutils literal notranslate"><span class="pre">Registry.unregister()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.registry.registry"><code class="docutils literal notranslate"><span class="pre">registry</span></code></a></li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
+</div></div>
+              
+            
+          </div>
+          <footer class="bd-footer-content">
+            
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+By FAIR Chemistry & Collaborators
+</p>
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+      © Copyright 2024.
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+    <h1>core.common.relaxation.ase_utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.ASE_PROP_RESHAPE"><code class="docutils literal notranslate"><span class="pre">ASE_PROP_RESHAPE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.batch_to_atoms"><code class="docutils literal notranslate"><span class="pre">batch_to_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator"><code class="docutils literal notranslate"><span class="pre">OCPCalculator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator._reshaped_props"><code class="docutils literal notranslate"><span class="pre">OCPCalculator._reshaped_props</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.config"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.trainer"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.trainer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.a2g"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.a2g</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.implemented_properties"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.implemented_properties</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.load_checkpoint()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.calculate"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.calculate()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.relaxation.ase_utils">
+<span id="core-common-relaxation-ase-utils"></span><h1>core.common.relaxation.ase_utils<a class="headerlink" href="#module-core.common.relaxation.ase_utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<p>Utilities to interface OCP models/trainers with the Atomic Simulation
+Environment (ASE)</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.ase_utils.ASE_PROP_RESHAPE" title="core.common.relaxation.ase_utils.ASE_PROP_RESHAPE"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ASE_PROP_RESHAPE</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.ase_utils.OCPCalculator" title="core.common.relaxation.ase_utils.OCPCalculator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OCPCalculator</span></code></a></p></td>
+<td><p>ASE based calculator using an OCP model</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.ase_utils.batch_to_atoms" title="core.common.relaxation.ase_utils.batch_to_atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">batch_to_atoms</span></code></a>(→ list[ase.Atoms])</p></td>
+<td><p>Convert a data batch to ase Atoms</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.ASE_PROP_RESHAPE">
+<span class="sig-prename descclassname"><span class="pre">core.common.relaxation.ase_utils.</span></span><span class="sig-name descname"><span class="pre">ASE_PROP_RESHAPE</span></span><a class="headerlink" href="#core.common.relaxation.ase_utils.ASE_PROP_RESHAPE" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.batch_to_atoms">
+<span class="sig-prename descclassname"><span class="pre">core.common.relaxation.ase_utils.</span></span><span class="sig-name descname"><span class="pre">batch_to_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_pos</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.relaxation.ase_utils.batch_to_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Convert a data batch to ase Atoms</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch</strong> – data batch</p></li>
+<li><p><strong>results</strong> – dictionary with predicted result tensors that will be added to a SinglePointCalculator. If no results
+are given no calculator will be added to the atoms objects.</p></li>
+<li><p><strong>wrap_pos</strong> – wrap positions back into the cell.</p></li>
+<li><p><strong>eps</strong> – Small number to prevent slightly negative coordinates from being wrapped.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>list of Atoms</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.OCPCalculator">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.relaxation.ase_utils.</span></span><span class="sig-name descname"><span class="pre">OCPCalculator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config_yml</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">only_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.ase_utils.OCPCalculator" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">ase.calculators.calculator.Calculator</span></code></p>
+<p>ASE based calculator using an OCP model</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.OCPCalculator._reshaped_props">
+<span class="sig-name descname"><span class="pre">_reshaped_props</span></span><a class="headerlink" href="#core.common.relaxation.ase_utils.OCPCalculator._reshaped_props" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.OCPCalculator.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.common.relaxation.ase_utils.OCPCalculator.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.OCPCalculator.trainer">
+<span class="sig-name descname"><span class="pre">trainer</span></span><a class="headerlink" href="#core.common.relaxation.ase_utils.OCPCalculator.trainer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.OCPCalculator.a2g">
+<span class="sig-name descname"><span class="pre">a2g</span></span><a class="headerlink" href="#core.common.relaxation.ase_utils.OCPCalculator.a2g" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.OCPCalculator.implemented_properties">
+<span class="sig-name descname"><span class="pre">implemented_properties</span></span><a class="headerlink" href="#core.common.relaxation.ase_utils.OCPCalculator.implemented_properties" title="Link to this definition">#</a></dt>
+<dd><p>Properties calculator can handle (energy, forces, …)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.OCPCalculator.load_checkpoint">
+<span class="sig-name descname"><span class="pre">load_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.ase_utils.OCPCalculator.load_checkpoint" title="Link to this definition">#</a></dt>
+<dd><p>Load existing trained model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>checkpoint_path</strong> – string
+Path to trained model</p></li>
+<li><p><strong>checkpoint</strong> – dict
+A pretrained checkpoint dict</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.ase_utils.OCPCalculator.calculate">
+<span class="sig-name descname"><span class="pre">calculate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">properties</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">system_changes</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.ase_utils.OCPCalculator.calculate" title="Link to this definition">#</a></dt>
+<dd><p>Calculate implemented properties for a single Atoms object or a Batch of them.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.ASE_PROP_RESHAPE"><code class="docutils literal notranslate"><span class="pre">ASE_PROP_RESHAPE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.batch_to_atoms"><code class="docutils literal notranslate"><span class="pre">batch_to_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator"><code class="docutils literal notranslate"><span class="pre">OCPCalculator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator._reshaped_props"><code class="docutils literal notranslate"><span class="pre">OCPCalculator._reshaped_props</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.config"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.trainer"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.trainer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.a2g"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.a2g</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.implemented_properties"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.implemented_properties</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.load_checkpoint()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ase_utils.OCPCalculator.calculate"><code class="docutils literal notranslate"><span class="pre">OCPCalculator.calculate()</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ml_relax"><code class="docutils literal notranslate"><span class="pre">ml_relax()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.ignored_changes"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.ignored_changes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.batch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.batch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.trainer"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.trainer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.transform"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.transform</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.numpy"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.numpy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.mask_converged"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.mask_converged</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch._cached_batch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._cached_batch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch._update_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._update_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.torch_results"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.torch_results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.results"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch._eps"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.otf_graph"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.device"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.batch_indices"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.batch_indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.converged_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.converged_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.update_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.update_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.check_state"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.check_state()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch._predict"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_property"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_property()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.set_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.set_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_potential_energy"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_potential_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_potential_energies"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_potential_energies()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_cells()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.set_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.set_cells()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_volumes"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_volumes()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.iterimages"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.iterimages()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_max_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_max_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.converged"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.converged()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_atoms_list"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_atoms_list()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.update_graph"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.update_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.__len__"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.__len__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.orig_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.orig_cells</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.stress"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.hydrostatic_strain"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.hydrostatic_strain</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.constant_volume"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.constant_volume</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.pressure"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.pressure</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.cell_factor"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.cell_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch._batch_trace"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch._batch_trace</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch._batch_diag"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch._batch_diag</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.batch_indices"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.batch_indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.deform_grad"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.deform_grad()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.get_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.get_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.set_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.set_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.get_potential_energy"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.get_potential_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.get_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.get_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch.__len__"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.__len__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.relaxation">
+<span id="core-common-relaxation"></span><h1>core.common.relaxation<a class="headerlink" href="#module-core.common.relaxation" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="ase_utils/index.html">core.common.relaxation.ase_utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="ml_relaxation/index.html">core.common.relaxation.ml_relaxation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="optimizable/index.html">core.common.relaxation.optimizable</a></li>
+<li class="toctree-l1"><a class="reference internal" href="optimizers/index.html">core.common.relaxation.optimizers</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.OptimizableBatch" title="core.common.relaxation.OptimizableBatch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OptimizableBatch</span></code></a></p></td>
+<td><p>A Batch version of ase Optimizable Atoms</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.relaxation.OptimizableUnitCellBatch" title="core.common.relaxation.OptimizableUnitCellBatch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch</span></code></a></p></td>
+<td><p>Modify the supercell and the atom positions in relaxations.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.ml_relax" title="core.common.relaxation.ml_relax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ml_relax</span></code></a>(batch, model, steps, fmax[, relax_opt, ...])</p></td>
+<td><p>Runs ML-based relaxations.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.relaxation.ml_relax">
+<span class="sig-prename descclassname"><span class="pre">core.common.relaxation.</span></span><span class="sig-name descname"><span class="pre">ml_relax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.trainers.BaseTrainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relax_opt</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relax_cell</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relax_volume</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_full_traj</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_converged</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.ml_relax" title="Link to this definition">#</a></dt>
+<dd><p>Runs ML-based relaxations.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch</strong> – a data batch object.</p></li>
+<li><p><strong>model</strong> – a trainer object with model.</p></li>
+<li><p><strong>steps</strong> – Max number of steps in the structure relaxation.</p></li>
+<li><p><strong>fmax</strong> – Structure relaxation terminates when the max force of the system is no bigger than fmax.</p></li>
+<li><p><strong>relax_opt</strong> – Optimizer parameters to be used for structure relaxations.</p></li>
+<li><p><strong>relax_cell</strong> – if true will use stress predictions to relax crystallographic cell.
+The model given must predict stress</p></li>
+<li><p><strong>relax_volume</strong> – if true will relax the cell isotropically. the given model must predict stress.</p></li>
+<li><p><strong>save_full_traj</strong> – Whether to save out the full ASE trajectory. If False, only save out initial and final frames.</p></li>
+<li><p><strong>mask_converged</strong> – whether to mask batches where all atoms are below convergence threshold</p></li>
+<li><p><strong>cumulative_mask</strong> – if true, once system is masked then it remains masked even if new predictions give forces
+above threshold, ie. once masked always masked. Note if this is used make sure to check convergence with
+the same fmax always</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.relaxation.</span></span><span class="sig-name descname"><span class="pre">OptimizableBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.trainers.BaseTrainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_converged</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">masked_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">ase.optimize.optimize.Optimizable</span></code></p>
+<p>A Batch version of ase Optimizable Atoms</p>
+<p>This class can be used with ML relaxations in fairchem.core.relaxations.ml_relaxation
+or in ase relaxations classes, i.e. ase.optimize.lbfgs</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.ignored_changes">
+<span class="sig-name descname"><span class="pre">ignored_changes</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">ClassVar</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.ignored_changes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.batch">
+<span class="sig-name descname"><span class="pre">batch</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.batch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.trainer">
+<span class="sig-name descname"><span class="pre">trainer</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.trainer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.transform" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.numpy">
+<span class="sig-name descname"><span class="pre">numpy</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.numpy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.mask_converged">
+<span class="sig-name descname"><span class="pre">mask_converged</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.mask_converged" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch._cached_batch">
+<span class="sig-name descname"><span class="pre">_cached_batch</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.OptimizableBatch._cached_batch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch._update_mask">
+<span class="sig-name descname"><span class="pre">_update_mask</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.OptimizableBatch._update_mask" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.torch_results">
+<span class="sig-name descname"><span class="pre">torch_results</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.torch_results" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.results">
+<span class="sig-name descname"><span class="pre">results</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.results" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch._eps">
+<span class="sig-name descname"><span class="pre">_eps</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch._eps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">True</span></em><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.device">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.batch_indices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">batch_indices</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.batch_indices" title="Link to this definition">#</a></dt>
+<dd><p>Get the batch indices specifying which position/force corresponds to which batch.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.converged_mask">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">converged_mask</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.converged_mask" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.update_mask">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">update_mask</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.update_mask" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.check_state">
+<span class="sig-name descname"><span class="pre">check_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tol</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-12</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.check_state" title="Link to this definition">#</a></dt>
+<dd><p>Check for any system changes since last calculation.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch._predict">
+<span class="sig-name descname"><span class="pre">_predict</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch._predict" title="Link to this definition">#</a></dt>
+<dd><p>Run prediction if batch has any changes.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.get_property">
+<span class="sig-name descname"><span class="pre">get_property</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.get_property" title="Link to this definition">#</a></dt>
+<dd><p>Get a predicted property by name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.get_positions">
+<span class="sig-name descname"><span class="pre">get_positions</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.get_positions" title="Link to this definition">#</a></dt>
+<dd><p>Get the batch positions</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.set_positions">
+<span class="sig-name descname"><span class="pre">set_positions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">positions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.set_positions" title="Link to this definition">#</a></dt>
+<dd><p>Set the atom positions in the batch.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.get_forces">
+<span class="sig-name descname"><span class="pre">get_forces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">apply_constraint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.get_forces" title="Link to this definition">#</a></dt>
+<dd><p>Get predicted batch forces.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.get_potential_energy">
+<span class="sig-name descname"><span class="pre">get_potential_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.get_potential_energy" title="Link to this definition">#</a></dt>
+<dd><p>Get predicted energy as the sum of all batch energies.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.get_potential_energies">
+<span class="sig-name descname"><span class="pre">get_potential_energies</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.get_potential_energies" title="Link to this definition">#</a></dt>
+<dd><p>Get the predicted energy for each system in batch.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.get_cells">
+<span class="sig-name descname"><span class="pre">get_cells</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.get_cells" title="Link to this definition">#</a></dt>
+<dd><p>Get batch crystallographic cells.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.set_cells">
+<span class="sig-name descname"><span class="pre">set_cells</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cells</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.set_cells" title="Link to this definition">#</a></dt>
+<dd><p>Set batch cells.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.get_volumes">
+<span class="sig-name descname"><span class="pre">get_volumes</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.get_volumes" title="Link to this definition">#</a></dt>
+<dd><p>Get a tensor of volumes for each cell in batch</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.iterimages">
+<span class="sig-name descname"><span class="pre">iterimages</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch_geometric.data.Batch</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.iterimages" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.get_max_forces">
+<span class="sig-name descname"><span class="pre">get_max_forces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">apply_constraint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.get_max_forces" title="Link to this definition">#</a></dt>
+<dd><p>Get the maximum forces per structure in batch</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.converged">
+<span class="sig-name descname"><span class="pre">converged</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.converged" title="Link to this definition">#</a></dt>
+<dd><p>Check if norm of all predicted forces are below fmax</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.get_atoms_list">
+<span class="sig-name descname"><span class="pre">get_atoms_list</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.get_atoms_list" title="Link to this definition">#</a></dt>
+<dd><p>Get ase Atoms objects corresponding to the batch</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.update_graph">
+<span class="sig-name descname"><span class="pre">update_graph</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.update_graph" title="Link to this definition">#</a></dt>
+<dd><p>Update the graph if model does not use otf_graph.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableBatch.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableBatch.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.relaxation.</span></span><span class="sig-name descname"><span class="pre">OptimizableUnitCellBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.trainers.BaseTrainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_converged</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hydrostatic_strain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constant_volume</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar_pressure</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">masked_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.common.relaxation.OptimizableBatch" title="core.common.relaxation.OptimizableBatch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OptimizableBatch</span></code></a></p>
+<p>Modify the supercell and the atom positions in relaxations.</p>
+<p>Based on ase UnitCellFilter to work on data batches</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.orig_cells">
+<span class="sig-name descname"><span class="pre">orig_cells</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.orig_cells" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.stress">
+<span class="sig-name descname"><span class="pre">stress</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.stress" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.hydrostatic_strain">
+<span class="sig-name descname"><span class="pre">hydrostatic_strain</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.hydrostatic_strain" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.constant_volume">
+<span class="sig-name descname"><span class="pre">constant_volume</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.constant_volume" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.pressure">
+<span class="sig-name descname"><span class="pre">pressure</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.pressure" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.cell_factor">
+<span class="sig-name descname"><span class="pre">cell_factor</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.cell_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch._batch_trace">
+<span class="sig-name descname"><span class="pre">_batch_trace</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch._batch_trace" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch._batch_diag">
+<span class="sig-name descname"><span class="pre">_batch_diag</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch._batch_diag" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.batch_indices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">batch_indices</span></span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.batch_indices" title="Link to this definition">#</a></dt>
+<dd><p>Get the batch indices specifying which position/force corresponds to which batch.</p>
+<p>We augment this to specify the batch indices for augmented positions and forces.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.deform_grad">
+<span class="sig-name descname"><span class="pre">deform_grad</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.deform_grad" title="Link to this definition">#</a></dt>
+<dd><p>Get the cell deformation matrix</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.get_positions">
+<span class="sig-name descname"><span class="pre">get_positions</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.get_positions" title="Link to this definition">#</a></dt>
+<dd><p>Get positions and cell deformation gradient.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.set_positions">
+<span class="sig-name descname"><span class="pre">set_positions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">positions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.set_positions" title="Link to this definition">#</a></dt>
+<dd><p>Set positions and cell.</p>
+<p>positions has shape (natoms + ncells * 3, 3).
+the first natoms rows are the positions of the atoms, the last nsystems * three rows are the deformation tensor
+for each cell.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.get_potential_energy">
+<span class="sig-name descname"><span class="pre">get_potential_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.get_potential_energy" title="Link to this definition">#</a></dt>
+<dd><p>returns potential energy including enthalpy PV term.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.get_forces">
+<span class="sig-name descname"><span class="pre">get_forces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">apply_constraint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.get_forces" title="Link to this definition">#</a></dt>
+<dd><p>Get forces and unit cell stress.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.OptimizableUnitCellBatch.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.OptimizableUnitCellBatch.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/common/relaxation"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+<div class="prev-next-area">
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ml_relax"><code class="docutils literal notranslate"><span class="pre">ml_relax()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.ignored_changes"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.ignored_changes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.batch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.batch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.trainer"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.trainer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.transform"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.transform</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.numpy"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.numpy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.mask_converged"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.mask_converged</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch._cached_batch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._cached_batch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch._update_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._update_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.torch_results"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.torch_results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.results"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch._eps"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.otf_graph"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.device"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.batch_indices"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.batch_indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.converged_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.converged_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.update_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.update_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.check_state"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.check_state()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch._predict"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_property"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_property()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.set_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.set_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_potential_energy"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_potential_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_potential_energies"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_potential_energies()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_cells()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.set_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.set_cells()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_volumes"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_volumes()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.iterimages"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.iterimages()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_max_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_max_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.converged"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.converged()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.get_atoms_list"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_atoms_list()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.update_graph"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.update_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableBatch.__len__"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.__len__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.OptimizableUnitCellBatch"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch</span></code></a><ul class="nav section-nav flex-column">
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+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ml_relaxation.ml_relax"><code class="docutils literal notranslate"><span class="pre">ml_relax()</span></code></a></li>
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+  <section id="module-core.common.relaxation.ml_relaxation">
+<span id="core-common-relaxation-ml-relaxation"></span><h1>core.common.relaxation.ml_relaxation<a class="headerlink" href="#module-core.common.relaxation.ml_relaxation" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.ml_relaxation.ml_relax" title="core.common.relaxation.ml_relaxation.ml_relax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ml_relax</span></code></a>(batch, model, steps, fmax[, relax_opt, ...])</p></td>
+<td><p>Runs ML-based relaxations.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.relaxation.ml_relaxation.ml_relax">
+<span class="sig-prename descclassname"><span class="pre">core.common.relaxation.ml_relaxation.</span></span><span class="sig-name descname"><span class="pre">ml_relax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.trainers.BaseTrainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relax_opt</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relax_cell</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relax_volume</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_full_traj</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_converged</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.ml_relaxation.ml_relax" title="Link to this definition">#</a></dt>
+<dd><p>Runs ML-based relaxations.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch</strong> – a data batch object.</p></li>
+<li><p><strong>model</strong> – a trainer object with model.</p></li>
+<li><p><strong>steps</strong> – Max number of steps in the structure relaxation.</p></li>
+<li><p><strong>fmax</strong> – Structure relaxation terminates when the max force of the system is no bigger than fmax.</p></li>
+<li><p><strong>relax_opt</strong> – Optimizer parameters to be used for structure relaxations.</p></li>
+<li><p><strong>relax_cell</strong> – if true will use stress predictions to relax crystallographic cell.
+The model given must predict stress</p></li>
+<li><p><strong>relax_volume</strong> – if true will relax the cell isotropically. the given model must predict stress.</p></li>
+<li><p><strong>save_full_traj</strong> – Whether to save out the full ASE trajectory. If False, only save out initial and final frames.</p></li>
+<li><p><strong>mask_converged</strong> – whether to mask batches where all atoms are below convergence threshold</p></li>
+<li><p><strong>cumulative_mask</strong> – if true, once system is masked then it remains masked even if new predictions give forces
+above threshold, ie. once masked always masked. Note if this is used make sure to check convergence with
+the same fmax always</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.ml_relaxation.ml_relax"><code class="docutils literal notranslate"><span class="pre">ml_relax()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.Optimizable"><code class="docutils literal notranslate"><span class="pre">Optimizable</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.ALL_CHANGES"><code class="docutils literal notranslate"><span class="pre">ALL_CHANGES</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.compare_batches"><code class="docutils literal notranslate"><span class="pre">compare_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.ignored_changes"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.ignored_changes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.batch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.batch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.trainer"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.trainer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.transform"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.transform</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.numpy"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.numpy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.mask_converged"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.mask_converged</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch._cached_batch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._cached_batch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch._update_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._update_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.torch_results"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.torch_results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.results"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch._eps"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.otf_graph"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.device"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.batch_indices"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.batch_indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.converged_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.converged_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.update_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.update_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.check_state"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.check_state()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch._predict"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_property"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_property()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.set_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.set_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_potential_energy"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_potential_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_potential_energies"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_potential_energies()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_cells()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.set_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.set_cells()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_volumes"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_volumes()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.iterimages"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.iterimages()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_max_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_max_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.converged"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.converged()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_atoms_list"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_atoms_list()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.update_graph"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.update_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.__len__"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.__len__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.orig_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.orig_cells</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.stress"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.hydrostatic_strain"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.hydrostatic_strain</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.constant_volume"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.constant_volume</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.pressure"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.pressure</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.cell_factor"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.cell_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_trace"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch._batch_trace</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_diag"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch._batch_diag</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.batch_indices"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.batch_indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.deform_grad"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.deform_grad()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.get_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.set_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.set_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_potential_energy"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.get_potential_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.get_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.__len__"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.__len__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.relaxation.optimizable">
+<span id="core-common-relaxation-optimizable"></span><h1>core.common.relaxation.optimizable<a class="headerlink" href="#module-core.common.relaxation.optimizable" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<p>Code based on ase.optimize</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.optimizable.ALL_CHANGES" title="core.common.relaxation.optimizable.ALL_CHANGES"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ALL_CHANGES</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.optimizable.Optimizable" title="core.common.relaxation.optimizable.Optimizable"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Optimizable</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.relaxation.optimizable.OptimizableBatch" title="core.common.relaxation.optimizable.OptimizableBatch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OptimizableBatch</span></code></a></p></td>
+<td><p>A Batch version of ase Optimizable Atoms</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch" title="core.common.relaxation.optimizable.OptimizableUnitCellBatch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch</span></code></a></p></td>
+<td><p>Modify the supercell and the atom positions in relaxations.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.optimizable.compare_batches" title="core.common.relaxation.optimizable.compare_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare_batches</span></code></a>(→ list[str])</p></td>
+<td><p>Compare properties between two batches</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.Optimizable">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.relaxation.optimizable.</span></span><span class="sig-name descname"><span class="pre">Optimizable</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.Optimizable" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.ALL_CHANGES">
+<span class="sig-prename descclassname"><span class="pre">core.common.relaxation.optimizable.</span></span><span class="sig-name descname"><span class="pre">ALL_CHANGES</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.common.relaxation.optimizable.ALL_CHANGES" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.compare_batches">
+<span class="sig-prename descclassname"><span class="pre">core.common.relaxation.optimizable.</span></span><span class="sig-name descname"><span class="pre">compare_batches</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tol</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-06</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_properties</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.compare_batches" title="Link to this definition">#</a></dt>
+<dd><p>Compare properties between two batches</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch1</strong> – atoms batch</p></li>
+<li><p><strong>batch2</strong> – atoms batch</p></li>
+<li><p><strong>tol</strong> – tolerance used to compare equility of floating point properties</p></li>
+<li><p><strong>excluded_properties</strong> – list of properties to exclude from comparison</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>list of system changes, property names that are differente between batch1 and batch2</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.relaxation.optimizable.</span></span><span class="sig-name descname"><span class="pre">OptimizableBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.trainers.BaseTrainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_converged</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">masked_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">ase.optimize.optimize.Optimizable</span></code></p>
+<p>A Batch version of ase Optimizable Atoms</p>
+<p>This class can be used with ML relaxations in fairchem.core.relaxations.ml_relaxation
+or in ase relaxations classes, i.e. ase.optimize.lbfgs</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.ignored_changes">
+<span class="sig-name descname"><span class="pre">ignored_changes</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">ClassVar</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.ignored_changes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.batch">
+<span class="sig-name descname"><span class="pre">batch</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.batch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.trainer">
+<span class="sig-name descname"><span class="pre">trainer</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.trainer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.transform" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.numpy">
+<span class="sig-name descname"><span class="pre">numpy</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.numpy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.mask_converged">
+<span class="sig-name descname"><span class="pre">mask_converged</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.mask_converged" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch._cached_batch">
+<span class="sig-name descname"><span class="pre">_cached_batch</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch._cached_batch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch._update_mask">
+<span class="sig-name descname"><span class="pre">_update_mask</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch._update_mask" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.torch_results">
+<span class="sig-name descname"><span class="pre">torch_results</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.torch_results" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.results">
+<span class="sig-name descname"><span class="pre">results</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.results" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch._eps">
+<span class="sig-name descname"><span class="pre">_eps</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch._eps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">True</span></em><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.device">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.batch_indices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">batch_indices</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.batch_indices" title="Link to this definition">#</a></dt>
+<dd><p>Get the batch indices specifying which position/force corresponds to which batch.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.converged_mask">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">converged_mask</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.converged_mask" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.update_mask">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">update_mask</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.update_mask" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.check_state">
+<span class="sig-name descname"><span class="pre">check_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tol</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-12</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.check_state" title="Link to this definition">#</a></dt>
+<dd><p>Check for any system changes since last calculation.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch._predict">
+<span class="sig-name descname"><span class="pre">_predict</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch._predict" title="Link to this definition">#</a></dt>
+<dd><p>Run prediction if batch has any changes.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.get_property">
+<span class="sig-name descname"><span class="pre">get_property</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.get_property" title="Link to this definition">#</a></dt>
+<dd><p>Get a predicted property by name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.get_positions">
+<span class="sig-name descname"><span class="pre">get_positions</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.get_positions" title="Link to this definition">#</a></dt>
+<dd><p>Get the batch positions</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.set_positions">
+<span class="sig-name descname"><span class="pre">set_positions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">positions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.set_positions" title="Link to this definition">#</a></dt>
+<dd><p>Set the atom positions in the batch.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.get_forces">
+<span class="sig-name descname"><span class="pre">get_forces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">apply_constraint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.get_forces" title="Link to this definition">#</a></dt>
+<dd><p>Get predicted batch forces.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.get_potential_energy">
+<span class="sig-name descname"><span class="pre">get_potential_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.get_potential_energy" title="Link to this definition">#</a></dt>
+<dd><p>Get predicted energy as the sum of all batch energies.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.get_potential_energies">
+<span class="sig-name descname"><span class="pre">get_potential_energies</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.get_potential_energies" title="Link to this definition">#</a></dt>
+<dd><p>Get the predicted energy for each system in batch.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.get_cells">
+<span class="sig-name descname"><span class="pre">get_cells</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.get_cells" title="Link to this definition">#</a></dt>
+<dd><p>Get batch crystallographic cells.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.set_cells">
+<span class="sig-name descname"><span class="pre">set_cells</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cells</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.set_cells" title="Link to this definition">#</a></dt>
+<dd><p>Set batch cells.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.get_volumes">
+<span class="sig-name descname"><span class="pre">get_volumes</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.get_volumes" title="Link to this definition">#</a></dt>
+<dd><p>Get a tensor of volumes for each cell in batch</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.iterimages">
+<span class="sig-name descname"><span class="pre">iterimages</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch_geometric.data.Batch</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.iterimages" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.get_max_forces">
+<span class="sig-name descname"><span class="pre">get_max_forces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">apply_constraint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.get_max_forces" title="Link to this definition">#</a></dt>
+<dd><p>Get the maximum forces per structure in batch</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.converged">
+<span class="sig-name descname"><span class="pre">converged</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.converged" title="Link to this definition">#</a></dt>
+<dd><p>Check if norm of all predicted forces are below fmax</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.get_atoms_list">
+<span class="sig-name descname"><span class="pre">get_atoms_list</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.get_atoms_list" title="Link to this definition">#</a></dt>
+<dd><p>Get ase Atoms objects corresponding to the batch</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.update_graph">
+<span class="sig-name descname"><span class="pre">update_graph</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.update_graph" title="Link to this definition">#</a></dt>
+<dd><p>Update the graph if model does not use otf_graph.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableBatch.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableBatch.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.relaxation.optimizable.</span></span><span class="sig-name descname"><span class="pre">OptimizableUnitCellBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.trainers.BaseTrainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_converged</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hydrostatic_strain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constant_volume</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar_pressure</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">masked_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.common.relaxation.optimizable.OptimizableBatch" title="core.common.relaxation.optimizable.OptimizableBatch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OptimizableBatch</span></code></a></p>
+<p>Modify the supercell and the atom positions in relaxations.</p>
+<p>Based on ase UnitCellFilter to work on data batches</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.orig_cells">
+<span class="sig-name descname"><span class="pre">orig_cells</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.orig_cells" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.stress">
+<span class="sig-name descname"><span class="pre">stress</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.stress" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.hydrostatic_strain">
+<span class="sig-name descname"><span class="pre">hydrostatic_strain</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.hydrostatic_strain" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.constant_volume">
+<span class="sig-name descname"><span class="pre">constant_volume</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.constant_volume" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.pressure">
+<span class="sig-name descname"><span class="pre">pressure</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.pressure" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.cell_factor">
+<span class="sig-name descname"><span class="pre">cell_factor</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.cell_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_trace">
+<span class="sig-name descname"><span class="pre">_batch_trace</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_trace" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_diag">
+<span class="sig-name descname"><span class="pre">_batch_diag</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_diag" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.batch_indices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">batch_indices</span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.batch_indices" title="Link to this definition">#</a></dt>
+<dd><p>Get the batch indices specifying which position/force corresponds to which batch.</p>
+<p>We augment this to specify the batch indices for augmented positions and forces.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.deform_grad">
+<span class="sig-name descname"><span class="pre">deform_grad</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.deform_grad" title="Link to this definition">#</a></dt>
+<dd><p>Get the cell deformation matrix</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_positions">
+<span class="sig-name descname"><span class="pre">get_positions</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_positions" title="Link to this definition">#</a></dt>
+<dd><p>Get positions and cell deformation gradient.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.set_positions">
+<span class="sig-name descname"><span class="pre">set_positions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">positions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.set_positions" title="Link to this definition">#</a></dt>
+<dd><p>Set positions and cell.</p>
+<p>positions has shape (natoms + ncells * 3, 3).
+the first natoms rows are the positions of the atoms, the last nsystems * three rows are the deformation tensor
+for each cell.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_potential_energy">
+<span class="sig-name descname"><span class="pre">get_potential_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_potential_energy" title="Link to this definition">#</a></dt>
+<dd><p>returns potential energy including enthalpy PV term.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_forces">
+<span class="sig-name descname"><span class="pre">get_forces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">apply_constraint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_forces" title="Link to this definition">#</a></dt>
+<dd><p>Get forces and unit cell stress.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizable.OptimizableUnitCellBatch.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/common/relaxation/optimizable"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.Optimizable"><code class="docutils literal notranslate"><span class="pre">Optimizable</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.ALL_CHANGES"><code class="docutils literal notranslate"><span class="pre">ALL_CHANGES</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.compare_batches"><code class="docutils literal notranslate"><span class="pre">compare_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.ignored_changes"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.ignored_changes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.batch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.batch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.trainer"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.trainer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.transform"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.transform</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.numpy"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.numpy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.mask_converged"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.mask_converged</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch._cached_batch"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._cached_batch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch._update_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._update_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.torch_results"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.torch_results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.results"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch._eps"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.otf_graph"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.device"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.batch_indices"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.batch_indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.converged_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.converged_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.update_mask"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.update_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.check_state"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.check_state()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch._predict"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch._predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_property"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_property()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.set_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.set_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_potential_energy"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_potential_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_potential_energies"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_potential_energies()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_cells()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.set_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.set_cells()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_volumes"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_volumes()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.iterimages"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.iterimages()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_max_forces"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_max_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.converged"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.converged()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.get_atoms_list"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.get_atoms_list()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableBatch.update_graph"><code class="docutils literal notranslate"><span class="pre">OptimizableBatch.update_graph()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.orig_cells"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.orig_cells</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.stress"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.hydrostatic_strain"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.hydrostatic_strain</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.constant_volume"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.constant_volume</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.cell_factor"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.cell_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_trace"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch._batch_trace</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_diag"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch._batch_diag</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.batch_indices"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.batch_indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.deform_grad"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.deform_grad()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.get_positions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizable.OptimizableUnitCellBatch.set_positions"><code class="docutils literal notranslate"><span class="pre">OptimizableUnitCellBatch.set_positions()</span></code></a></li>
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+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS"><code class="docutils literal notranslate"><span class="pre">LBFGS</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.optimizable"><code class="docutils literal notranslate"><span class="pre">LBFGS.optimizable</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.maxstep"><code class="docutils literal notranslate"><span class="pre">LBFGS.maxstep</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.memory"><code class="docutils literal notranslate"><span class="pre">LBFGS.memory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.damping"><code class="docutils literal notranslate"><span class="pre">LBFGS.damping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.alpha"><code class="docutils literal notranslate"><span class="pre">LBFGS.alpha</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.H0"><code class="docutils literal notranslate"><span class="pre">LBFGS.H0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.save_full"><code class="docutils literal notranslate"><span class="pre">LBFGS.save_full</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.traj_dir"><code class="docutils literal notranslate"><span class="pre">LBFGS.traj_dir</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.traj_names"><code class="docutils literal notranslate"><span class="pre">LBFGS.traj_names</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.trajectories"><code class="docutils literal notranslate"><span class="pre">LBFGS.trajectories</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.fmax"><code class="docutils literal notranslate"><span class="pre">LBFGS.fmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.steps"><code class="docutils literal notranslate"><span class="pre">LBFGS.steps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.s"><code class="docutils literal notranslate"><span class="pre">LBFGS.s</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.y"><code class="docutils literal notranslate"><span class="pre">LBFGS.y</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.rho"><code class="docutils literal notranslate"><span class="pre">LBFGS.rho</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.r0"><code class="docutils literal notranslate"><span class="pre">LBFGS.r0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.f0"><code class="docutils literal notranslate"><span class="pre">LBFGS.f0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.run"><code class="docutils literal notranslate"><span class="pre">LBFGS.run()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.determine_step"><code class="docutils literal notranslate"><span class="pre">LBFGS.determine_step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS._batched_dot"><code class="docutils literal notranslate"><span class="pre">LBFGS._batched_dot()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.step"><code class="docutils literal notranslate"><span class="pre">LBFGS.step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.write"><code class="docutils literal notranslate"><span class="pre">LBFGS.write()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.relaxation.optimizers">
+<span id="core-common-relaxation-optimizers"></span><h1>core.common.relaxation.optimizers<a class="headerlink" href="#module-core.common.relaxation.optimizers" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="lbfgs_torch/index.html">core.common.relaxation.optimizers.lbfgs_torch</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.optimizers.LBFGS" title="core.common.relaxation.optimizers.LBFGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LBFGS</span></code></a></p></td>
+<td><p>Limited memory BFGS optimizer for batch ML relaxations.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.relaxation.optimizers.</span></span><span class="sig-name descname"><span class="pre">LBFGS</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizable_batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">core.common.relaxation.optimizers.optimizable.OptimizableBatch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxstep</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.02</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">damping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_full_traj</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">traj_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">traj_names</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS" title="Link to this definition">#</a></dt>
+<dd><p>Limited memory BFGS optimizer for batch ML relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.optimizable">
+<span class="sig-name descname"><span class="pre">optimizable</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.optimizable" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.maxstep">
+<span class="sig-name descname"><span class="pre">maxstep</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.maxstep" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.memory">
+<span class="sig-name descname"><span class="pre">memory</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.memory" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.damping">
+<span class="sig-name descname"><span class="pre">damping</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.damping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.alpha">
+<span class="sig-name descname"><span class="pre">alpha</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.alpha" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.H0">
+<span class="sig-name descname"><span class="pre">H0</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.H0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.save_full">
+<span class="sig-name descname"><span class="pre">save_full</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.save_full" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.traj_dir">
+<span class="sig-name descname"><span class="pre">traj_dir</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.traj_dir" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.traj_names">
+<span class="sig-name descname"><span class="pre">traj_names</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.traj_names" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.trajectories">
+<span class="sig-name descname"><span class="pre">trajectories</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.trajectories" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.fmax">
+<span class="sig-name descname"><span class="pre">fmax</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.fmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.steps">
+<span class="sig-name descname"><span class="pre">steps</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.steps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.s">
+<span class="sig-name descname"><span class="pre">s</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.s" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.y">
+<span class="sig-name descname"><span class="pre">y</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.y" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.rho">
+<span class="sig-name descname"><span class="pre">rho</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.rho" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.r0">
+<span class="sig-name descname"><span class="pre">r0</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.r0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.f0">
+<span class="sig-name descname"><span class="pre">f0</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.f0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fmax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.determine_step">
+<span class="sig-name descname"><span class="pre">determine_step</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.determine_step" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS._batched_dot">
+<span class="sig-name descname"><span class="pre">_batched_dot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS._batched_dot" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.step">
+<span class="sig-name descname"><span class="pre">step</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">iteration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.step" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.LBFGS.write">
+<span class="sig-name descname"><span class="pre">write</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizers.LBFGS.write" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+        },
+        predefinedOutput: true
+    }
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS"><code class="docutils literal notranslate"><span class="pre">LBFGS</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.optimizable"><code class="docutils literal notranslate"><span class="pre">LBFGS.optimizable</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.maxstep"><code class="docutils literal notranslate"><span class="pre">LBFGS.maxstep</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.memory"><code class="docutils literal notranslate"><span class="pre">LBFGS.memory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.damping"><code class="docutils literal notranslate"><span class="pre">LBFGS.damping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.alpha"><code class="docutils literal notranslate"><span class="pre">LBFGS.alpha</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.H0"><code class="docutils literal notranslate"><span class="pre">LBFGS.H0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.save_full"><code class="docutils literal notranslate"><span class="pre">LBFGS.save_full</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.traj_dir"><code class="docutils literal notranslate"><span class="pre">LBFGS.traj_dir</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.traj_names"><code class="docutils literal notranslate"><span class="pre">LBFGS.traj_names</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.trajectories"><code class="docutils literal notranslate"><span class="pre">LBFGS.trajectories</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.fmax"><code class="docutils literal notranslate"><span class="pre">LBFGS.fmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.steps"><code class="docutils literal notranslate"><span class="pre">LBFGS.steps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.s"><code class="docutils literal notranslate"><span class="pre">LBFGS.s</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.y"><code class="docutils literal notranslate"><span class="pre">LBFGS.y</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.r0"><code class="docutils literal notranslate"><span class="pre">LBFGS.r0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.LBFGS.f0"><code class="docutils literal notranslate"><span class="pre">LBFGS.f0</span></code></a></li>
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+    <h1>core.common.relaxation.optimizers.lbfgs_torch</h1>
+    <!-- Table of contents -->
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS"><code class="docutils literal notranslate"><span class="pre">LBFGS</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.optimizable"><code class="docutils literal notranslate"><span class="pre">LBFGS.optimizable</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.maxstep"><code class="docutils literal notranslate"><span class="pre">LBFGS.maxstep</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.memory"><code class="docutils literal notranslate"><span class="pre">LBFGS.memory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.damping"><code class="docutils literal notranslate"><span class="pre">LBFGS.damping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.alpha"><code class="docutils literal notranslate"><span class="pre">LBFGS.alpha</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.H0"><code class="docutils literal notranslate"><span class="pre">LBFGS.H0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.save_full"><code class="docutils literal notranslate"><span class="pre">LBFGS.save_full</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_dir"><code class="docutils literal notranslate"><span class="pre">LBFGS.traj_dir</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_names"><code class="docutils literal notranslate"><span class="pre">LBFGS.traj_names</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.trajectories"><code class="docutils literal notranslate"><span class="pre">LBFGS.trajectories</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.fmax"><code class="docutils literal notranslate"><span class="pre">LBFGS.fmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.steps"><code class="docutils literal notranslate"><span class="pre">LBFGS.steps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.s"><code class="docutils literal notranslate"><span class="pre">LBFGS.s</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.y"><code class="docutils literal notranslate"><span class="pre">LBFGS.y</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.rho"><code class="docutils literal notranslate"><span class="pre">LBFGS.rho</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.r0"><code class="docutils literal notranslate"><span class="pre">LBFGS.r0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.f0"><code class="docutils literal notranslate"><span class="pre">LBFGS.f0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.run"><code class="docutils literal notranslate"><span class="pre">LBFGS.run()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.determine_step"><code class="docutils literal notranslate"><span class="pre">LBFGS.determine_step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS._batched_dot"><code class="docutils literal notranslate"><span class="pre">LBFGS._batched_dot()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.step"><code class="docutils literal notranslate"><span class="pre">LBFGS.step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.write"><code class="docutils literal notranslate"><span class="pre">LBFGS.write()</span></code></a></li>
+</ul>
+</li>
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+                  
+  <section id="module-core.common.relaxation.optimizers.lbfgs_torch">
+<span id="core-common-relaxation-optimizers-lbfgs-torch"></span><h1>core.common.relaxation.optimizers.lbfgs_torch<a class="headerlink" href="#module-core.common.relaxation.optimizers.lbfgs_torch" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS" title="core.common.relaxation.optimizers.lbfgs_torch.LBFGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LBFGS</span></code></a></p></td>
+<td><p>Limited memory BFGS optimizer for batch ML relaxations.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.relaxation.optimizers.lbfgs_torch.</span></span><span class="sig-name descname"><span class="pre">LBFGS</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizable_batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">core.common.relaxation.optimizers.optimizable.OptimizableBatch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxstep</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.02</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">damping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_full_traj</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">traj_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">traj_names</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS" title="Link to this definition">#</a></dt>
+<dd><p>Limited memory BFGS optimizer for batch ML relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.optimizable">
+<span class="sig-name descname"><span class="pre">optimizable</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.optimizable" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.maxstep">
+<span class="sig-name descname"><span class="pre">maxstep</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.maxstep" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.memory">
+<span class="sig-name descname"><span class="pre">memory</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.memory" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.damping">
+<span class="sig-name descname"><span class="pre">damping</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.damping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.alpha">
+<span class="sig-name descname"><span class="pre">alpha</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.alpha" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.H0">
+<span class="sig-name descname"><span class="pre">H0</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.H0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.save_full">
+<span class="sig-name descname"><span class="pre">save_full</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.save_full" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_dir">
+<span class="sig-name descname"><span class="pre">traj_dir</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_dir" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_names">
+<span class="sig-name descname"><span class="pre">traj_names</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_names" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.trajectories">
+<span class="sig-name descname"><span class="pre">trajectories</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.trajectories" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.fmax">
+<span class="sig-name descname"><span class="pre">fmax</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.fmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.steps">
+<span class="sig-name descname"><span class="pre">steps</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.steps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.s">
+<span class="sig-name descname"><span class="pre">s</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.s" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.y">
+<span class="sig-name descname"><span class="pre">y</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.y" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.rho">
+<span class="sig-name descname"><span class="pre">rho</span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.rho" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.r0">
+<span class="sig-name descname"><span class="pre">r0</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.r0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.f0">
+<span class="sig-name descname"><span class="pre">f0</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.f0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fmax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.determine_step">
+<span class="sig-name descname"><span class="pre">determine_step</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.determine_step" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS._batched_dot">
+<span class="sig-name descname"><span class="pre">_batched_dot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS._batched_dot" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.step">
+<span class="sig-name descname"><span class="pre">step</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">iteration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.step" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.relaxation.optimizers.lbfgs_torch.LBFGS.write">
+<span class="sig-name descname"><span class="pre">write</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.write" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
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+            repo: "binder-examples/jupyter-stacks-datascience",
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+            name: "python3",
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+        },
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+    }
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS"><code class="docutils literal notranslate"><span class="pre">LBFGS</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.optimizable"><code class="docutils literal notranslate"><span class="pre">LBFGS.optimizable</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.maxstep"><code class="docutils literal notranslate"><span class="pre">LBFGS.maxstep</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.memory"><code class="docutils literal notranslate"><span class="pre">LBFGS.memory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.damping"><code class="docutils literal notranslate"><span class="pre">LBFGS.damping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.alpha"><code class="docutils literal notranslate"><span class="pre">LBFGS.alpha</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.H0"><code class="docutils literal notranslate"><span class="pre">LBFGS.H0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.save_full"><code class="docutils literal notranslate"><span class="pre">LBFGS.save_full</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_dir"><code class="docutils literal notranslate"><span class="pre">LBFGS.traj_dir</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_names"><code class="docutils literal notranslate"><span class="pre">LBFGS.traj_names</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.trajectories"><code class="docutils literal notranslate"><span class="pre">LBFGS.trajectories</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.fmax"><code class="docutils literal notranslate"><span class="pre">LBFGS.fmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.steps"><code class="docutils literal notranslate"><span class="pre">LBFGS.steps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.s"><code class="docutils literal notranslate"><span class="pre">LBFGS.s</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.y"><code class="docutils literal notranslate"><span class="pre">LBFGS.y</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.rho"><code class="docutils literal notranslate"><span class="pre">LBFGS.rho</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.r0"><code class="docutils literal notranslate"><span class="pre">LBFGS.r0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.f0"><code class="docutils literal notranslate"><span class="pre">LBFGS.f0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.run"><code class="docutils literal notranslate"><span class="pre">LBFGS.run()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.determine_step"><code class="docutils literal notranslate"><span class="pre">LBFGS.determine_step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS._batched_dot"><code class="docutils literal notranslate"><span class="pre">LBFGS._batched_dot()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.step"><code class="docutils literal notranslate"><span class="pre">LBFGS.step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.write"><code class="docutils literal notranslate"><span class="pre">LBFGS.write()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+</ul>
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+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
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+    <h1>core.common.test_utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.ForkedPdb"><code class="docutils literal notranslate"><span class="pre">ForkedPdb</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.ForkedPdb.interaction"><code class="docutils literal notranslate"><span class="pre">ForkedPdb.interaction()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig"><code class="docutils literal notranslate"><span class="pre">PGConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.backend"><code class="docutils literal notranslate"><span class="pre">PGConfig.backend</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.world_size"><code class="docutils literal notranslate"><span class="pre">PGConfig.world_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.gp_group_size"><code class="docutils literal notranslate"><span class="pre">PGConfig.gp_group_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.port"><code class="docutils literal notranslate"><span class="pre">PGConfig.port</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.use_gp"><code class="docutils literal notranslate"><span class="pre">PGConfig.use_gp</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.init_env_rank_and_launch_test"><code class="docutils literal notranslate"><span class="pre">init_env_rank_and_launch_test()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.init_pg_and_rank_and_launch_test"><code class="docutils literal notranslate"><span class="pre">init_pg_and_rank_and_launch_test()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.spawn_multi_process"><code class="docutils literal notranslate"><span class="pre">spawn_multi_process()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.init_local_distributed_process_group"><code class="docutils literal notranslate"><span class="pre">init_local_distributed_process_group()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.test_utils">
+<span id="core-common-test-utils"></span><h1>core.common.test_utils<a class="headerlink" href="#module-core.common.test_utils" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.test_utils.ForkedPdb" title="core.common.test_utils.ForkedPdb"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ForkedPdb</span></code></a></p></td>
+<td><p>A Pdb subclass that may be used from a forked multiprocessing child</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.test_utils.PGConfig" title="core.common.test_utils.PGConfig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PGConfig</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.test_utils.init_env_rank_and_launch_test" title="core.common.test_utils.init_env_rank_and_launch_test"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_env_rank_and_launch_test</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.test_utils.init_pg_and_rank_and_launch_test" title="core.common.test_utils.init_pg_and_rank_and_launch_test"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_pg_and_rank_and_launch_test</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.test_utils.spawn_multi_process" title="core.common.test_utils.spawn_multi_process"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spawn_multi_process</span></code></a>(→ list[Any])</p></td>
+<td><p>Spawn single node, multi-rank function.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.test_utils.init_local_distributed_process_group" title="core.common.test_utils.init_local_distributed_process_group"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_local_distributed_process_group</span></code></a>([backend])</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.test_utils.ForkedPdb">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.test_utils.</span></span><span class="sig-name descname"><span class="pre">ForkedPdb</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">completekey</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'tab'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdin</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">skip</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nosigint</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">readrc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.test_utils.ForkedPdb" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">pdb.Pdb</span></code></p>
+<p>A Pdb subclass that may be used from a forked multiprocessing child
+<a class="reference external" href="https://stackoverflow.com/questions/4716533/how-to-attach-debugger-to-a-python-subproccess/23654936#23654936">https://stackoverflow.com/questions/4716533/how-to-attach-debugger-to-a-python-subproccess/23654936#23654936</a></p>
+<p>example usage to debug a torch distributed run on rank 0:
+if torch.distributed.get_rank() == 0:</p>
+<blockquote>
+<div><p>from fairchem.core.common.test_utils import ForkedPdb
+ForkedPdb().set_trace()</p>
+</div></blockquote>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.test_utils.ForkedPdb.interaction">
+<span class="sig-name descname"><span class="pre">interaction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.test_utils.ForkedPdb.interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.test_utils.PGConfig">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.test_utils.</span></span><span class="sig-name descname"><span class="pre">PGConfig</span></span><a class="headerlink" href="#core.common.test_utils.PGConfig" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.test_utils.PGConfig.backend">
+<span class="sig-name descname"><span class="pre">backend</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#core.common.test_utils.PGConfig.backend" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.test_utils.PGConfig.world_size">
+<span class="sig-name descname"><span class="pre">world_size</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.common.test_utils.PGConfig.world_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.test_utils.PGConfig.gp_group_size">
+<span class="sig-name descname"><span class="pre">gp_group_size</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1</span></em><a class="headerlink" href="#core.common.test_utils.PGConfig.gp_group_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.test_utils.PGConfig.port">
+<span class="sig-name descname"><span class="pre">port</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'12345'</span></em><a class="headerlink" href="#core.common.test_utils.PGConfig.port" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.test_utils.PGConfig.use_gp">
+<span class="sig-name descname"><span class="pre">use_gp</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">True</span></em><a class="headerlink" href="#core.common.test_utils.PGConfig.use_gp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.test_utils.init_env_rank_and_launch_test">
+<span class="sig-prename descclassname"><span class="pre">core.common.test_utils.</span></span><span class="sig-name descname"><span class="pre">init_env_rank_and_launch_test</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pg_setup_params</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#core.common.test_utils.PGConfig" title="core.common.test_utils.PGConfig"><span class="pre">PGConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mp_output_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">object</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">callable</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">object</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">object</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.test_utils.init_env_rank_and_launch_test" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.test_utils.init_pg_and_rank_and_launch_test">
+<span class="sig-prename descclassname"><span class="pre">core.common.test_utils.</span></span><span class="sig-name descname"><span class="pre">init_pg_and_rank_and_launch_test</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pg_setup_params</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#core.common.test_utils.PGConfig" title="core.common.test_utils.PGConfig"><span class="pre">PGConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mp_output_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">object</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">callable</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">object</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">object</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.test_utils.init_pg_and_rank_and_launch_test" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.test_utils.spawn_multi_process">
+<span class="sig-prename descclassname"><span class="pre">core.common.test_utils.</span></span><span class="sig-name descname"><span class="pre">spawn_multi_process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#core.common.test_utils.PGConfig" title="core.common.test_utils.PGConfig"><span class="pre">PGConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">callable</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_and_launch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">callable</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">test_method_args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">test_method_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.test_utils.spawn_multi_process" title="Link to this definition">#</a></dt>
+<dd><p>Spawn single node, multi-rank function.
+Uses localhost and free port to communicate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>world_size</strong> – number of processes</p></li>
+<li><p><strong>backend</strong> – backend to use. for example, “nccl”, “gloo”, etc</p></li>
+<li><p><strong>test_method</strong> – callable to spawn. first 3 arguments are rank, world_size and mp output dict</p></li>
+<li><p><strong>test_method_args</strong> – args for the test method</p></li>
+<li><p><strong>test_method_kwargs</strong> – kwargs for the test method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>A list, l, where l[i] is the return value of test_method on rank i</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.test_utils.init_local_distributed_process_group">
+<span class="sig-prename descclassname"><span class="pre">core.common.test_utils.</span></span><span class="sig-name descname"><span class="pre">init_local_distributed_process_group</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'nccl'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.test_utils.init_local_distributed_process_group" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.ForkedPdb"><code class="docutils literal notranslate"><span class="pre">ForkedPdb</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.ForkedPdb.interaction"><code class="docutils literal notranslate"><span class="pre">ForkedPdb.interaction()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig"><code class="docutils literal notranslate"><span class="pre">PGConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.backend"><code class="docutils literal notranslate"><span class="pre">PGConfig.backend</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.world_size"><code class="docutils literal notranslate"><span class="pre">PGConfig.world_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.gp_group_size"><code class="docutils literal notranslate"><span class="pre">PGConfig.gp_group_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.port"><code class="docutils literal notranslate"><span class="pre">PGConfig.port</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.PGConfig.use_gp"><code class="docutils literal notranslate"><span class="pre">PGConfig.use_gp</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.init_env_rank_and_launch_test"><code class="docutils literal notranslate"><span class="pre">init_env_rank_and_launch_test()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.init_pg_and_rank_and_launch_test"><code class="docutils literal notranslate"><span class="pre">init_pg_and_rank_and_launch_test()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.spawn_multi_process"><code class="docutils literal notranslate"><span class="pre">spawn_multi_process()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.test_utils.init_local_distributed_process_group"><code class="docutils literal notranslate"><span class="pre">init_local_distributed_process_group()</span></code></a></li>
+</ul>
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+</ul>
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+    <h1>core.common.transforms</h1>
+    <!-- Table of contents -->
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+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate"><code class="docutils literal notranslate"><span class="pre">RandomRotate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate.degrees"><code class="docutils literal notranslate"><span class="pre">RandomRotate.degrees</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate.axes"><code class="docutils literal notranslate"><span class="pre">RandomRotate.axes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate.__call__"><code class="docutils literal notranslate"><span class="pre">RandomRotate.__call__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate.__repr__"><code class="docutils literal notranslate"><span class="pre">RandomRotate.__repr__()</span></code></a></li>
+</ul>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.transforms">
+<span id="core-common-transforms"></span><h1>core.common.transforms<a class="headerlink" href="#module-core.common.transforms" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.transforms.RandomRotate" title="core.common.transforms.RandomRotate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RandomRotate</span></code></a></p></td>
+<td><p>Rotates node positions around a specific axis by a randomly sampled</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.transforms.RandomRotate">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomRotate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">degrees</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.transforms.RandomRotate" title="Link to this definition">#</a></dt>
+<dd><p>Rotates node positions around a specific axis by a randomly sampled
+factor within a given interval.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>degrees</strong> (<em>tuple</em><em> or </em><em>float</em>) – Rotation interval from which the rotation
+angle is sampled. If <cite>degrees</cite> is a number instead of a
+tuple, the interval is given by <span class="math notranslate nohighlight">\([-\mathrm{degrees},
+\mathrm{degrees}]\)</span>.</p></li>
+<li><p><strong>axes</strong> (<em>int</em><em>, </em><em>optional</em>) – The rotation axes. (default: <cite>[0, 1, 2]</cite>)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.transforms.RandomRotate.degrees">
+<span class="sig-name descname"><span class="pre">degrees</span></span><a class="headerlink" href="#core.common.transforms.RandomRotate.degrees" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.transforms.RandomRotate.axes">
+<span class="sig-name descname"><span class="pre">axes</span></span><a class="headerlink" href="#core.common.transforms.RandomRotate.axes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.transforms.RandomRotate.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.transforms.RandomRotate.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.transforms.RandomRotate.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.common.transforms.RandomRotate.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate"><code class="docutils literal notranslate"><span class="pre">RandomRotate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate.degrees"><code class="docutils literal notranslate"><span class="pre">RandomRotate.degrees</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate.axes"><code class="docutils literal notranslate"><span class="pre">RandomRotate.axes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate.__call__"><code class="docutils literal notranslate"><span class="pre">RandomRotate.__call__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.transforms.RandomRotate.__repr__"><code class="docutils literal notranslate"><span class="pre">RandomRotate.__repr__()</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.fairchem_root"><code class="docutils literal notranslate"><span class="pre">fairchem_root()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.fairchem_main"><code class="docutils literal notranslate"><span class="pre">fairchem_main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.describe_fairchem"><code class="docutils literal notranslate"><span class="pre">describe_fairchem()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.train_test_val_split"><code class="docutils literal notranslate"><span class="pre">train_test_val_split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.generate_yml_config"><code class="docutils literal notranslate"><span class="pre">generate_yml_config()</span></code></a></li>
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+                  
+  <section id="module-core.common.tutorial_utils">
+<span id="core-common-tutorial-utils"></span><h1>core.common.tutorial_utils<a class="headerlink" href="#module-core.common.tutorial_utils" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.tutorial_utils.fairchem_root" title="core.common.tutorial_utils.fairchem_root"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem_root</span></code></a>()</p></td>
+<td><p>Return the root directory of the installed fairchem-core package.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.tutorial_utils.fairchem_main" title="core.common.tutorial_utils.fairchem_main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem_main</span></code></a>()</p></td>
+<td><p>Return the path to fairchem main.py</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.tutorial_utils.describe_fairchem" title="core.common.tutorial_utils.describe_fairchem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">describe_fairchem</span></code></a>()</p></td>
+<td><p>Print some system information that could be useful in debugging.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.tutorial_utils.train_test_val_split" title="core.common.tutorial_utils.train_test_val_split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train_test_val_split</span></code></a>(ase_db[, ttv, files, seed])</p></td>
+<td><p>Split an ase db into train, test and validation dbs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.tutorial_utils.generate_yml_config" title="core.common.tutorial_utils.generate_yml_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate_yml_config</span></code></a>(checkpoint_path[, yml, delete, update])</p></td>
+<td><p>Generate a yml config file from an existing checkpoint file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.tutorial_utils.fairchem_root">
+<span class="sig-prename descclassname"><span class="pre">core.common.tutorial_utils.</span></span><span class="sig-name descname"><span class="pre">fairchem_root</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.tutorial_utils.fairchem_root" title="Link to this definition">#</a></dt>
+<dd><p>Return the root directory of the installed fairchem-core package.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.tutorial_utils.fairchem_main">
+<span class="sig-prename descclassname"><span class="pre">core.common.tutorial_utils.</span></span><span class="sig-name descname"><span class="pre">fairchem_main</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.tutorial_utils.fairchem_main" title="Link to this definition">#</a></dt>
+<dd><p>Return the path to fairchem main.py</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.tutorial_utils.describe_fairchem">
+<span class="sig-prename descclassname"><span class="pre">core.common.tutorial_utils.</span></span><span class="sig-name descname"><span class="pre">describe_fairchem</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.tutorial_utils.describe_fairchem" title="Link to this definition">#</a></dt>
+<dd><p>Print some system information that could be useful in debugging.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.tutorial_utils.train_test_val_split">
+<span class="sig-prename descclassname"><span class="pre">core.common.tutorial_utils.</span></span><span class="sig-name descname"><span class="pre">train_test_val_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ase_db</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ttv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.8,</span> <span class="pre">0.1,</span> <span class="pre">0.1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">files</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">('train.db',</span> <span class="pre">'test.db',</span> <span class="pre">'val.db')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">42</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.tutorial_utils.train_test_val_split" title="Link to this definition">#</a></dt>
+<dd><p>Split an ase db into train, test and validation dbs.</p>
+<p>ase_db: path to an ase db containing all the data.
+ttv: a tuple containing the fraction of train, test and val data. This will be normalized.
+files: a tuple of filenames to write the splits into. An exception is raised if these exist.</p>
+<blockquote>
+<div><p>You should delete them first.</p>
+</div></blockquote>
+<p>seed: an integer for the random number generator seed</p>
+<p>Returns the absolute path to files.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.tutorial_utils.generate_yml_config">
+<span class="sig-prename descclassname"><span class="pre">core.common.tutorial_utils.</span></span><span class="sig-name descname"><span class="pre">generate_yml_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">yml</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'run.yml'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delete</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.tutorial_utils.generate_yml_config" title="Link to this definition">#</a></dt>
+<dd><p>Generate a yml config file from an existing checkpoint file.</p>
+<p>checkpoint_path: string to path of an existing checkpoint
+yml: name of file to write to.
+pop: list of keys to remove from the config
+update: dictionary of key:values to update</p>
+<p>Use a dot notation in update.</p>
+<p>Returns an absolute path to the generated yml file.</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.fairchem_root"><code class="docutils literal notranslate"><span class="pre">fairchem_root()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.fairchem_main"><code class="docutils literal notranslate"><span class="pre">fairchem_main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.describe_fairchem"><code class="docutils literal notranslate"><span class="pre">describe_fairchem()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.train_test_val_split"><code class="docutils literal notranslate"><span class="pre">train_test_val_split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.tutorial_utils.generate_yml_config"><code class="docutils literal notranslate"><span class="pre">generate_yml_config()</span></code></a></li>
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+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.typing._T"><code class="docutils literal notranslate"><span class="pre">_T</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.typing.assert_is_instance"><code class="docutils literal notranslate"><span class="pre">assert_is_instance()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.typing.none_throws"><code class="docutils literal notranslate"><span class="pre">none_throws()</span></code></a></li>
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+
+              
+                
+<div id="searchbox"></div>
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+                  
+  <section id="module-core.common.typing">
+<span id="core-common-typing"></span><h1>core.common.typing<a class="headerlink" href="#module-core.common.typing" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.typing._T" title="core.common.typing._T"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_T</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.typing.assert_is_instance" title="core.common.typing.assert_is_instance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">assert_is_instance</span></code></a>(→ _T)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.typing.none_throws" title="core.common.typing.none_throws"><code class="xref py py-obj docutils literal notranslate"><span class="pre">none_throws</span></code></a>(→ _T)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.typing._T">
+<span class="sig-prename descclassname"><span class="pre">core.common.typing.</span></span><span class="sig-name descname"><span class="pre">_T</span></span><a class="headerlink" href="#core.common.typing._T" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.typing.assert_is_instance">
+<span class="sig-prename descclassname"><span class="pre">core.common.typing.</span></span><span class="sig-name descname"><span class="pre">assert_is_instance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">object</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cls</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">_T</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">_T</span></span></span><a class="headerlink" href="#core.common.typing.assert_is_instance" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.typing.none_throws">
+<span class="sig-prename descclassname"><span class="pre">core.common.typing.</span></span><span class="sig-name descname"><span class="pre">none_throws</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">_T</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">msg</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">_T</span></span></span><a class="headerlink" href="#core.common.typing.none_throws" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+    <h1>core.common.utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.DEFAULT_ENV_VARS"><code class="docutils literal notranslate"><span class="pre">DEFAULT_ENV_VARS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.UniqueKeyLoader"><code class="docutils literal notranslate"><span class="pre">UniqueKeyLoader</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.UniqueKeyLoader.construct_mapping"><code class="docutils literal notranslate"><span class="pre">UniqueKeyLoader.construct_mapping()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.pyg2_data_transform"><code class="docutils literal notranslate"><span class="pre">pyg2_data_transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.save_checkpoint"><code class="docutils literal notranslate"><span class="pre">save_checkpoint()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.multitask_required_keys"><code class="docutils literal notranslate"><span class="pre">multitask_required_keys</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.Complete"><code class="docutils literal notranslate"><span class="pre">Complete</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.Complete.__call__"><code class="docutils literal notranslate"><span class="pre">Complete.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.warmup_lr_lambda"><code class="docutils literal notranslate"><span class="pre">warmup_lr_lambda()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.print_cuda_usage"><code class="docutils literal notranslate"><span class="pre">print_cuda_usage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.conditional_grad"><code class="docutils literal notranslate"><span class="pre">conditional_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.plot_histogram"><code class="docutils literal notranslate"><span class="pre">plot_histogram()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.collate"><code class="docutils literal notranslate"><span class="pre">collate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.add_edge_distance_to_graph"><code class="docutils literal notranslate"><span class="pre">add_edge_distance_to_graph()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils._import_local_file"><code class="docutils literal notranslate"><span class="pre">_import_local_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.setup_experimental_imports"><code class="docutils literal notranslate"><span class="pre">setup_experimental_imports()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils._get_project_root"><code class="docutils literal notranslate"><span class="pre">_get_project_root()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.setup_imports"><code class="docutils literal notranslate"><span class="pre">setup_imports()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.dict_set_recursively"><code class="docutils literal notranslate"><span class="pre">dict_set_recursively()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.parse_value"><code class="docutils literal notranslate"><span class="pre">parse_value()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.create_dict_from_args"><code class="docutils literal notranslate"><span class="pre">create_dict_from_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.find_relative_file_in_paths"><code class="docutils literal notranslate"><span class="pre">find_relative_file_in_paths()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.load_config"><code class="docutils literal notranslate"><span class="pre">load_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.build_config"><code class="docutils literal notranslate"><span class="pre">build_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.create_grid"><code class="docutils literal notranslate"><span class="pre">create_grid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.save_experiment_log"><code class="docutils literal notranslate"><span class="pre">save_experiment_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_pbc_distances"><code class="docutils literal notranslate"><span class="pre">get_pbc_distances()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.radius_graph_pbc"><code class="docutils literal notranslate"><span class="pre">radius_graph_pbc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_max_neighbors_mask"><code class="docutils literal notranslate"><span class="pre">get_max_neighbors_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_pruned_edge_idx"><code class="docutils literal notranslate"><span class="pre">get_pruned_edge_idx()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.merge_dicts"><code class="docutils literal notranslate"><span class="pre">merge_dicts()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.SeverityLevelBetween"><code class="docutils literal notranslate"><span class="pre">SeverityLevelBetween</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.SeverityLevelBetween.min_level"><code class="docutils literal notranslate"><span class="pre">SeverityLevelBetween.min_level</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.SeverityLevelBetween.max_level"><code class="docutils literal notranslate"><span class="pre">SeverityLevelBetween.max_level</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.SeverityLevelBetween.filter"><code class="docutils literal notranslate"><span class="pre">SeverityLevelBetween.filter()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.debug_log_entry_exit"><code class="docutils literal notranslate"><span class="pre">debug_log_entry_exit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.setup_logging"><code class="docutils literal notranslate"><span class="pre">setup_logging()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.compute_neighbors"><code class="docutils literal notranslate"><span class="pre">compute_neighbors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.check_traj_files"><code class="docutils literal notranslate"><span class="pre">check_traj_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.setup_env_vars"><code class="docutils literal notranslate"><span class="pre">setup_env_vars()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.new_trainer_context"><code class="docutils literal notranslate"><span class="pre">new_trainer_context()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils._resolve_scale_factor_submodule"><code class="docutils literal notranslate"><span class="pre">_resolve_scale_factor_submodule()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils._report_incompat_keys"><code class="docutils literal notranslate"><span class="pre">_report_incompat_keys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.match_state_dict"><code class="docutils literal notranslate"><span class="pre">match_state_dict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.load_state_dict"><code class="docutils literal notranslate"><span class="pre">load_state_dict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.scatter_det"><code class="docutils literal notranslate"><span class="pre">scatter_det()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_commit_hash"><code class="docutils literal notranslate"><span class="pre">get_commit_hash()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.cg_change_mat"><code class="docutils literal notranslate"><span class="pre">cg_change_mat()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.irreps_sum"><code class="docutils literal notranslate"><span class="pre">irreps_sum()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.update_config"><code class="docutils literal notranslate"><span class="pre">update_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.load_model_and_weights_from_checkpoint"><code class="docutils literal notranslate"><span class="pre">load_model_and_weights_from_checkpoint()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_timestamp_uid"><code class="docutils literal notranslate"><span class="pre">get_timestamp_uid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.tensor_stats"><code class="docutils literal notranslate"><span class="pre">tensor_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_weight_table"><code class="docutils literal notranslate"><span class="pre">get_weight_table()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_checkpoint_format"><code class="docutils literal notranslate"><span class="pre">get_checkpoint_format()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.common.utils">
+<span id="core-common-utils"></span><h1>core.common.utils<a class="headerlink" href="#module-core.common.utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.DEFAULT_ENV_VARS" title="core.common.utils.DEFAULT_ENV_VARS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DEFAULT_ENV_VARS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.multitask_required_keys" title="core.common.utils.multitask_required_keys"><code class="xref py py-obj docutils literal notranslate"><span class="pre">multitask_required_keys</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.UniqueKeyLoader" title="core.common.utils.UniqueKeyLoader"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UniqueKeyLoader</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.Complete" title="core.common.utils.Complete"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Complete</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.SeverityLevelBetween" title="core.common.utils.SeverityLevelBetween"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SeverityLevelBetween</span></code></a></p></td>
+<td><p>Filter instances are used to perform arbitrary filtering of LogRecords.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.pyg2_data_transform" title="core.common.utils.pyg2_data_transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyg2_data_transform</span></code></a>(data)</p></td>
+<td><p>if we're on the new pyg (2.0 or later) and if the Data stored is in older format</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.save_checkpoint" title="core.common.utils.save_checkpoint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_checkpoint</span></code></a>(→ str)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.warmup_lr_lambda" title="core.common.utils.warmup_lr_lambda"><code class="xref py py-obj docutils literal notranslate"><span class="pre">warmup_lr_lambda</span></code></a>(current_step, optim_config)</p></td>
+<td><p>Returns a learning rate multiplier.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.print_cuda_usage" title="core.common.utils.print_cuda_usage"><code class="xref py py-obj docutils literal notranslate"><span class="pre">print_cuda_usage</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.conditional_grad" title="core.common.utils.conditional_grad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">conditional_grad</span></code></a>(dec)</p></td>
+<td><p>Decorator to enable/disable grad depending on whether force/energy predictions are being made</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.plot_histogram" title="core.common.utils.plot_histogram"><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_histogram</span></code></a>(data[, xlabel, ylabel, title])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.collate" title="core.common.utils.collate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">collate</span></code></a>(data_list)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.add_edge_distance_to_graph" title="core.common.utils.add_edge_distance_to_graph"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_edge_distance_to_graph</span></code></a>(batch[, device, dmin, ...])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils._import_local_file" title="core.common.utils._import_local_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_import_local_file</span></code></a>(→ None)</p></td>
+<td><p>Imports a Python file as a module</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.setup_experimental_imports" title="core.common.utils.setup_experimental_imports"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setup_experimental_imports</span></code></a>(→ None)</p></td>
+<td><p>Import selected directories of modules from the &quot;experimental&quot; subdirectory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils._get_project_root" title="core.common.utils._get_project_root"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_get_project_root</span></code></a>(→ pathlib.Path)</p></td>
+<td><p>Gets the root folder of the project (the &quot;ocp&quot; folder)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.setup_imports" title="core.common.utils.setup_imports"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setup_imports</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.dict_set_recursively" title="core.common.utils.dict_set_recursively"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dict_set_recursively</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.parse_value" title="core.common.utils.parse_value"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_value</span></code></a>(value)</p></td>
+<td><p>Parse string as Python literal if possible and fallback to string.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.create_dict_from_args" title="core.common.utils.create_dict_from_args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">create_dict_from_args</span></code></a>(args[, sep])</p></td>
+<td><p>Create a (nested) dictionary from console arguments.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.find_relative_file_in_paths" title="core.common.utils.find_relative_file_in_paths"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_relative_file_in_paths</span></code></a>(filename, include_paths)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.load_config" title="core.common.utils.load_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_config</span></code></a>(path[, files_previously_included, ...])</p></td>
+<td><p>Load a given config with any defined imports</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.build_config" title="core.common.utils.build_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">build_config</span></code></a>(args, args_override[, include_paths])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.create_grid" title="core.common.utils.create_grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">create_grid</span></code></a>(base_config, sweep_file)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.save_experiment_log" title="core.common.utils.save_experiment_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_experiment_log</span></code></a>(args, jobs, configs)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.get_pbc_distances" title="core.common.utils.get_pbc_distances"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_pbc_distances</span></code></a>(pos, edge_index, cell, cell_offsets, ...)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.radius_graph_pbc" title="core.common.utils.radius_graph_pbc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">radius_graph_pbc</span></code></a>(data, radius, max_num_neighbors_threshold)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.get_max_neighbors_mask" title="core.common.utils.get_max_neighbors_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_max_neighbors_mask</span></code></a>(natoms, index, atom_distance, ...)</p></td>
+<td><p>Give a mask that filters out edges so that each atom has at most</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.get_pruned_edge_idx" title="core.common.utils.get_pruned_edge_idx"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_pruned_edge_idx</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.merge_dicts" title="core.common.utils.merge_dicts"><code class="xref py py-obj docutils literal notranslate"><span class="pre">merge_dicts</span></code></a>(dict1, dict2)</p></td>
+<td><p>Recursively merge two dictionaries.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.debug_log_entry_exit" title="core.common.utils.debug_log_entry_exit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">debug_log_entry_exit</span></code></a>(func)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.setup_logging" title="core.common.utils.setup_logging"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setup_logging</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.compute_neighbors" title="core.common.utils.compute_neighbors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_neighbors</span></code></a>(data, edge_index)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.check_traj_files" title="core.common.utils.check_traj_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_traj_files</span></code></a>(→ bool)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.setup_env_vars" title="core.common.utils.setup_env_vars"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setup_env_vars</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.new_trainer_context" title="core.common.utils.new_trainer_context"><code class="xref py py-obj docutils literal notranslate"><span class="pre">new_trainer_context</span></code></a>(*, config)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils._resolve_scale_factor_submodule" title="core.common.utils._resolve_scale_factor_submodule"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_resolve_scale_factor_submodule</span></code></a>(model, name)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils._report_incompat_keys" title="core.common.utils._report_incompat_keys"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_report_incompat_keys</span></code></a>(→ tuple[list[str], list[str]])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.match_state_dict" title="core.common.utils.match_state_dict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">match_state_dict</span></code></a>(→ dict)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.load_state_dict" title="core.common.utils.load_state_dict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_state_dict</span></code></a>(→ tuple[list[str], list[str]])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.scatter_det" title="core.common.utils.scatter_det"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter_det</span></code></a>(*args, **kwargs)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.get_commit_hash" title="core.common.utils.get_commit_hash"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_commit_hash</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.cg_change_mat" title="core.common.utils.cg_change_mat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cg_change_mat</span></code></a>(→ torch.tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.irreps_sum" title="core.common.utils.irreps_sum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">irreps_sum</span></code></a>(→ int)</p></td>
+<td><p>Returns the sum of the dimensions of the irreps up to the specified angular momentum.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.update_config" title="core.common.utils.update_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_config</span></code></a>(base_config)</p></td>
+<td><p>Configs created prior to FAIRChem/OCP 2.0 are organized a little different than they</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.load_model_and_weights_from_checkpoint" title="core.common.utils.load_model_and_weights_from_checkpoint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_model_and_weights_from_checkpoint</span></code></a>(→ torch.nn.Module)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.get_timestamp_uid" title="core.common.utils.get_timestamp_uid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_timestamp_uid</span></code></a>(→ str)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.tensor_stats" title="core.common.utils.tensor_stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tensor_stats</span></code></a>(→ dict)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.common.utils.get_weight_table" title="core.common.utils.get_weight_table"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_weight_table</span></code></a>(→ tuple[list, list])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.common.utils.get_checkpoint_format" title="core.common.utils.get_checkpoint_format"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_checkpoint_format</span></code></a>(→ str)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.utils.DEFAULT_ENV_VARS">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">DEFAULT_ENV_VARS</span></span><a class="headerlink" href="#core.common.utils.DEFAULT_ENV_VARS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.utils.UniqueKeyLoader">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">UniqueKeyLoader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stream</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.UniqueKeyLoader" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">yaml.SafeLoader</span></code></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.utils.UniqueKeyLoader.construct_mapping">
+<span class="sig-name descname"><span class="pre">construct_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.UniqueKeyLoader.construct_mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.pyg2_data_transform">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">pyg2_data_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.pyg2_data_transform" title="Link to this definition">#</a></dt>
+<dd><p>if we’re on the new pyg (2.0 or later) and if the Data stored is in older format
+we need to convert the data to the new format</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.save_checkpoint">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">save_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'checkpoints/'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'checkpoint.pt'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.common.utils.save_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.common.utils.multitask_required_keys">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">multitask_required_keys</span></span><a class="headerlink" href="#core.common.utils.multitask_required_keys" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.utils.Complete">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">Complete</span></span><a class="headerlink" href="#core.common.utils.Complete" title="Link to this definition">#</a></dt>
+<dd><dl class="py method">
+<dt class="sig sig-object py" id="core.common.utils.Complete.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.Complete.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.warmup_lr_lambda">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">warmup_lr_lambda</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">current_step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optim_config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.warmup_lr_lambda" title="Link to this definition">#</a></dt>
+<dd><p>Returns a learning rate multiplier.
+Till <cite>warmup_steps</cite>, learning rate linearly increases to <cite>initial_lr</cite>,
+and then gets multiplied by <cite>lr_gamma</cite> every time a milestone is crossed.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.print_cuda_usage">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">print_cuda_usage</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.utils.print_cuda_usage" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.conditional_grad">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">conditional_grad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.conditional_grad" title="Link to this definition">#</a></dt>
+<dd><p>Decorator to enable/disable grad depending on whether force/energy predictions are being made</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.plot_histogram">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">plot_histogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">xlabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.plot_histogram" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.collate">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">collate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.collate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.add_edge_distance_to_graph">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">add_edge_distance_to_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cpu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dmin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_gaussians</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.add_edge_distance_to_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils._import_local_file">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">_import_local_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">project_root</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.utils._import_local_file" title="Link to this definition">#</a></dt>
+<dd><p>Imports a Python file as a module</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>path</strong> (<em>Path</em>) – The path to the file to import</p></li>
+<li><p><strong>project_root</strong> (<em>Path</em>) – The root directory of the project (i.e., the “ocp” folder)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.setup_experimental_imports">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">setup_experimental_imports</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_root</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.utils.setup_experimental_imports" title="Link to this definition">#</a></dt>
+<dd><p>Import selected directories of modules from the “experimental” subdirectory.</p>
+<p>If a file named “.include” is present in the “experimental” subdirectory,
+this will be read as a list of experimental subdirectories whose module
+(including in any subsubdirectories) should be imported.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>project_root</strong> – The root directory of the project (i.e., the “ocp” folder)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils._get_project_root">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">_get_project_root</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pathlib.Path</span></span></span><a class="headerlink" href="#core.common.utils._get_project_root" title="Link to this definition">#</a></dt>
+<dd><p>Gets the root folder of the project (the “ocp” folder)
+:return: The absolute path to the project root.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.setup_imports">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">setup_imports</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.utils.setup_imports" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.dict_set_recursively">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">dict_set_recursively</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dictionary</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key_sequence</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.utils.dict_set_recursively" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.parse_value">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">parse_value</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.parse_value" title="Link to this definition">#</a></dt>
+<dd><p>Parse string as Python literal if possible and fallback to string.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.create_dict_from_args">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">create_dict_from_args</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sep</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'.'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.create_dict_from_args" title="Link to this definition">#</a></dt>
+<dd><p>Create a (nested) dictionary from console arguments.
+Keys in different dictionary levels are separated by sep.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.find_relative_file_in_paths">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">find_relative_file_in_paths</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_paths</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.find_relative_file_in_paths" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.load_config">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">load_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">files_previously_included</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.load_config" title="Link to this definition">#</a></dt>
+<dd><p>Load a given config with any defined imports</p>
+<p>When imports are present this is a recursive function called on imports.
+To prevent any cyclic imports we keep track of already imported yml files
+using files_previously_included</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.build_config">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">build_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">args_override</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_paths</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.build_config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.create_grid">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">create_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_config</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sweep_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.create_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.save_experiment_log">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">save_experiment_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">jobs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">configs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.save_experiment_log" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.get_pbc_distances">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">get_pbc_distances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_offsets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_distance_vec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.get_pbc_distances" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.radius_graph_pbc">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">radius_graph_pbc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radius</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_neighbors_threshold</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_neighbors_strictly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.radius_graph_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.get_max_neighbors_mask">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">get_max_neighbors_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">natoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_neighbors_threshold</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">degeneracy_tolerance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_strictly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.get_max_neighbors_mask" title="Link to this definition">#</a></dt>
+<dd><p>Give a mask that filters out edges so that each atom has at most
+<cite>max_num_neighbors_threshold</cite> neighbors.
+Assumes that <cite>index</cite> is sorted.</p>
+<p>Enforcing the max strictly can force the arbitrary choice between
+degenerate edges. This can lead to undesired behaviors; for
+example, bulk formation energies which are not invariant to
+unit cell choice.</p>
+<p>A degeneracy tolerance can help prevent sudden changes in edge
+existence from small changes in atom position, for example,
+rounding errors, slab relaxation, temperature, etc.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.get_pruned_edge_idx">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">get_pruned_edge_idx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neigh</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1000000000.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.common.utils.get_pruned_edge_idx" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.merge_dicts">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">merge_dicts</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dict1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dict2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.merge_dicts" title="Link to this definition">#</a></dt>
+<dd><p>Recursively merge two dictionaries.
+Values in dict2 override values in dict1. If dict1 and dict2 contain a dictionary as a
+value, this will call itself recursively to merge these dictionaries.
+This does not modify the input dictionaries (creates an internal copy).
+Additionally returns a list of detected duplicates.
+Adapted from <a class="github reference external" href="https://github.com/TUM-DAML/seml/blob/master/seml/utils.py">TUM-DAML/seml</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dict1</strong> (<em>dict</em>) – First dict.</p></li>
+<li><p><strong>dict2</strong> (<em>dict</em>) – Second dict. Values in dict2 will override values from dict1 in case they share the same key.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>return_dict</strong> – Merged dictionaries.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.common.utils.SeverityLevelBetween">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">SeverityLevelBetween</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.SeverityLevelBetween" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.Filter</span></code></p>
+<p>Filter instances are used to perform arbitrary filtering of LogRecords.</p>
+<p>Loggers and Handlers can optionally use Filter instances to filter
+records as desired. The base filter class only allows events which are
+below a certain point in the logger hierarchy. For example, a filter
+initialized with “A.B” will allow events logged by loggers “A.B”,
+“A.B.C”, “A.B.C.D”, “A.B.D” etc. but not “A.BB”, “B.A.B” etc. If
+initialized with the empty string, all events are passed.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.utils.SeverityLevelBetween.min_level">
+<span class="sig-name descname"><span class="pre">min_level</span></span><a class="headerlink" href="#core.common.utils.SeverityLevelBetween.min_level" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.common.utils.SeverityLevelBetween.max_level">
+<span class="sig-name descname"><span class="pre">max_level</span></span><a class="headerlink" href="#core.common.utils.SeverityLevelBetween.max_level" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.common.utils.SeverityLevelBetween.filter">
+<span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">record</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.utils.SeverityLevelBetween.filter" title="Link to this definition">#</a></dt>
+<dd><p>Determine if the specified record is to be logged.</p>
+<p>Returns True if the record should be logged, or False otherwise.
+If deemed appropriate, the record may be modified in-place.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.debug_log_entry_exit">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">debug_log_entry_exit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.debug_log_entry_exit" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.setup_logging">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">setup_logging</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.utils.setup_logging" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.compute_neighbors">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">compute_neighbors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.compute_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.check_traj_files">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">check_traj_files</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">traj_dir</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.common.utils.check_traj_files" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.setup_env_vars">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">setup_env_vars</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.common.utils.setup_env_vars" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.new_trainer_context">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">new_trainer_context</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.new_trainer_context" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils._resolve_scale_factor_submodule">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">_resolve_scale_factor_submodule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils._resolve_scale_factor_submodule" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils._report_incompat_keys">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">_report_incompat_keys</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keys</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.modules.module._IncompatibleKeys</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">strict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.utils._report_incompat_keys" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.match_state_dict">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">match_state_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_state_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Mapping</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_state_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Mapping</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#core.common.utils.match_state_dict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.load_state_dict">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">load_state_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">module</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Mapping</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">strict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.utils.load_state_dict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.scatter_det">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">scatter_det</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.scatter_det" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.get_commit_hash">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">get_commit_hash</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.get_commit_hash" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.cg_change_mat">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">cg_change_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ang_mom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'cpu'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.tensor</span></span></span><a class="headerlink" href="#core.common.utils.cg_change_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.irreps_sum">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">irreps_sum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ang_mom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.common.utils.irreps_sum" title="Link to this definition">#</a></dt>
+<dd><p>Returns the sum of the dimensions of the irreps up to the specified angular momentum.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>ang_mom</strong> – max angular momenttum to sum up dimensions of irreps</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.update_config">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">update_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.common.utils.update_config" title="Link to this definition">#</a></dt>
+<dd><p>Configs created prior to FAIRChem/OCP 2.0 are organized a little different than they
+are now. Update old configs to fit the new expected structure.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.load_model_and_weights_from_checkpoint">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">load_model_and_weights_from_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.nn.Module</span></span></span><a class="headerlink" href="#core.common.utils.load_model_and_weights_from_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.get_timestamp_uid">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">get_timestamp_uid</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.common.utils.get_timestamp_uid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.tensor_stats">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">tensor_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#core.common.utils.tensor_stats" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.get_weight_table">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">get_weight_table</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.common.utils.get_weight_table" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.common.utils.get_checkpoint_format">
+<span class="sig-prename descclassname"><span class="pre">core.common.utils.</span></span><span class="sig-name descname"><span class="pre">get_checkpoint_format</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.common.utils.get_checkpoint_format" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.DEFAULT_ENV_VARS"><code class="docutils literal notranslate"><span class="pre">DEFAULT_ENV_VARS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.UniqueKeyLoader"><code class="docutils literal notranslate"><span class="pre">UniqueKeyLoader</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.UniqueKeyLoader.construct_mapping"><code class="docutils literal notranslate"><span class="pre">UniqueKeyLoader.construct_mapping()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.pyg2_data_transform"><code class="docutils literal notranslate"><span class="pre">pyg2_data_transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.save_checkpoint"><code class="docutils literal notranslate"><span class="pre">save_checkpoint()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.multitask_required_keys"><code class="docutils literal notranslate"><span class="pre">multitask_required_keys</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.Complete"><code class="docutils literal notranslate"><span class="pre">Complete</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.Complete.__call__"><code class="docutils literal notranslate"><span class="pre">Complete.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.warmup_lr_lambda"><code class="docutils literal notranslate"><span class="pre">warmup_lr_lambda()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.print_cuda_usage"><code class="docutils literal notranslate"><span class="pre">print_cuda_usage()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.conditional_grad"><code class="docutils literal notranslate"><span class="pre">conditional_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.plot_histogram"><code class="docutils literal notranslate"><span class="pre">plot_histogram()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.collate"><code class="docutils literal notranslate"><span class="pre">collate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.add_edge_distance_to_graph"><code class="docutils literal notranslate"><span class="pre">add_edge_distance_to_graph()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils._import_local_file"><code class="docutils literal notranslate"><span class="pre">_import_local_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.setup_experimental_imports"><code class="docutils literal notranslate"><span class="pre">setup_experimental_imports()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils._get_project_root"><code class="docutils literal notranslate"><span class="pre">_get_project_root()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.setup_imports"><code class="docutils literal notranslate"><span class="pre">setup_imports()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.dict_set_recursively"><code class="docutils literal notranslate"><span class="pre">dict_set_recursively()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.parse_value"><code class="docutils literal notranslate"><span class="pre">parse_value()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.create_dict_from_args"><code class="docutils literal notranslate"><span class="pre">create_dict_from_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.find_relative_file_in_paths"><code class="docutils literal notranslate"><span class="pre">find_relative_file_in_paths()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.load_config"><code class="docutils literal notranslate"><span class="pre">load_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.build_config"><code class="docutils literal notranslate"><span class="pre">build_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.create_grid"><code class="docutils literal notranslate"><span class="pre">create_grid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.save_experiment_log"><code class="docutils literal notranslate"><span class="pre">save_experiment_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_pbc_distances"><code class="docutils literal notranslate"><span class="pre">get_pbc_distances()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.radius_graph_pbc"><code class="docutils literal notranslate"><span class="pre">radius_graph_pbc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_max_neighbors_mask"><code class="docutils literal notranslate"><span class="pre">get_max_neighbors_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_pruned_edge_idx"><code class="docutils literal notranslate"><span class="pre">get_pruned_edge_idx()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.merge_dicts"><code class="docutils literal notranslate"><span class="pre">merge_dicts()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.SeverityLevelBetween"><code class="docutils literal notranslate"><span class="pre">SeverityLevelBetween</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.SeverityLevelBetween.min_level"><code class="docutils literal notranslate"><span class="pre">SeverityLevelBetween.min_level</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.SeverityLevelBetween.max_level"><code class="docutils literal notranslate"><span class="pre">SeverityLevelBetween.max_level</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.SeverityLevelBetween.filter"><code class="docutils literal notranslate"><span class="pre">SeverityLevelBetween.filter()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.debug_log_entry_exit"><code class="docutils literal notranslate"><span class="pre">debug_log_entry_exit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.setup_logging"><code class="docutils literal notranslate"><span class="pre">setup_logging()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.compute_neighbors"><code class="docutils literal notranslate"><span class="pre">compute_neighbors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.check_traj_files"><code class="docutils literal notranslate"><span class="pre">check_traj_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.setup_env_vars"><code class="docutils literal notranslate"><span class="pre">setup_env_vars()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.new_trainer_context"><code class="docutils literal notranslate"><span class="pre">new_trainer_context()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils._resolve_scale_factor_submodule"><code class="docutils literal notranslate"><span class="pre">_resolve_scale_factor_submodule()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils._report_incompat_keys"><code class="docutils literal notranslate"><span class="pre">_report_incompat_keys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.match_state_dict"><code class="docutils literal notranslate"><span class="pre">match_state_dict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.load_state_dict"><code class="docutils literal notranslate"><span class="pre">load_state_dict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.scatter_det"><code class="docutils literal notranslate"><span class="pre">scatter_det()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_commit_hash"><code class="docutils literal notranslate"><span class="pre">get_commit_hash()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.cg_change_mat"><code class="docutils literal notranslate"><span class="pre">cg_change_mat()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.irreps_sum"><code class="docutils literal notranslate"><span class="pre">irreps_sum()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.update_config"><code class="docutils literal notranslate"><span class="pre">update_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.load_model_and_weights_from_checkpoint"><code class="docutils literal notranslate"><span class="pre">load_model_and_weights_from_checkpoint()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_timestamp_uid"><code class="docutils literal notranslate"><span class="pre">get_timestamp_uid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.tensor_stats"><code class="docutils literal notranslate"><span class="pre">tensor_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_weight_table"><code class="docutils literal notranslate"><span class="pre">get_weight_table()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.common.utils.get_checkpoint_format"><code class="docutils literal notranslate"><span class="pre">get_checkpoint_format()</span></code></a></li>
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+
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+    this give us a css class that will be invisible only if js is disabled
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+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+    <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
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+    <!-- Table of contents -->
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+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.Runner"><code class="docutils literal notranslate"><span class="pre">Runner</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.Runner.run"><code class="docutils literal notranslate"><span class="pre">Runner.run()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.Runner.save_state"><code class="docutils literal notranslate"><span class="pre">Runner.save_state()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.Runner.load_state"><code class="docutils literal notranslate"><span class="pre">Runner.load_state()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner"><code class="docutils literal notranslate"><span class="pre">MockRunner</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.x"><code class="docutils literal notranslate"><span class="pre">MockRunner.x</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.y"><code class="docutils literal notranslate"><span class="pre">MockRunner.y</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.run"><code class="docutils literal notranslate"><span class="pre">MockRunner.run()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.save_state"><code class="docutils literal notranslate"><span class="pre">MockRunner.save_state()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.load_state"><code class="docutils literal notranslate"><span class="pre">MockRunner.load_state()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
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+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.components.runner">
+<span id="core-components-runner"></span><h1>core.components.runner<a class="headerlink" href="#module-core.components.runner" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.components.runner.Runner" title="core.components.runner.Runner"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Runner</span></code></a></p></td>
+<td><p>Represents an abstraction over things that run in a loop and can save/load state.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.components.runner.MockRunner" title="core.components.runner.MockRunner"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MockRunner</span></code></a></p></td>
+<td><p>Represents an abstraction over things that run in a loop and can save/load state.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.components.runner.Runner">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.components.runner.</span></span><span class="sig-name descname"><span class="pre">Runner</span></span><a class="headerlink" href="#core.components.runner.Runner" title="Link to this definition">#</a></dt>
+<dd><p>Represents an abstraction over things that run in a loop and can save/load state.
+ie: Trainers, Validators, Relaxation all fall in this category.
+This allows us to decouple away from a monolithic trainer class</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.components.runner.Runner.run">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#core.components.runner.Runner.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.components.runner.Runner.save_state">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">save_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.components.runner.Runner.save_state" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.components.runner.Runner.load_state">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.components.runner.Runner.load_state" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.components.runner.MockRunner">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.components.runner.</span></span><span class="sig-name descname"><span class="pre">MockRunner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.components.runner.MockRunner" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.components.runner.Runner" title="core.components.runner.Runner"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Runner</span></code></a></p>
+<p>Represents an abstraction over things that run in a loop and can save/load state.
+ie: Trainers, Validators, Relaxation all fall in this category.
+This allows us to decouple away from a monolithic trainer class</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.components.runner.MockRunner.x">
+<span class="sig-name descname"><span class="pre">x</span></span><a class="headerlink" href="#core.components.runner.MockRunner.x" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.components.runner.MockRunner.y">
+<span class="sig-name descname"><span class="pre">y</span></span><a class="headerlink" href="#core.components.runner.MockRunner.y" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.components.runner.MockRunner.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#core.components.runner.MockRunner.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.components.runner.MockRunner.save_state">
+<span class="sig-name descname"><span class="pre">save_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.components.runner.MockRunner.save_state" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.components.runner.MockRunner.load_state">
+<span class="sig-name descname"><span class="pre">load_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.components.runner.MockRunner.load_state" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.Runner"><code class="docutils literal notranslate"><span class="pre">Runner</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.Runner.run"><code class="docutils literal notranslate"><span class="pre">Runner.run()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.Runner.save_state"><code class="docutils literal notranslate"><span class="pre">Runner.save_state()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.Runner.load_state"><code class="docutils literal notranslate"><span class="pre">Runner.load_state()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner"><code class="docutils literal notranslate"><span class="pre">MockRunner</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.x"><code class="docutils literal notranslate"><span class="pre">MockRunner.x</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.y"><code class="docutils literal notranslate"><span class="pre">MockRunner.y</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.run"><code class="docutils literal notranslate"><span class="pre">MockRunner.run()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.save_state"><code class="docutils literal notranslate"><span class="pre">MockRunner.save_state()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.components.runner.MockRunner.load_state"><code class="docutils literal notranslate"><span class="pre">MockRunner.load_state()</span></code></a></li>
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+    <h1>core.datasets._utils</h1>
+    <!-- Table of contents -->
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+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets._utils.rename_data_object_keys"><code class="docutils literal notranslate"><span class="pre">rename_data_object_keys()</span></code></a></li>
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+  <section id="module-core.datasets._utils">
+<span id="core-datasets-utils"></span><h1>core.datasets._utils<a class="headerlink" href="#module-core.datasets._utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets._utils.rename_data_object_keys" title="core.datasets._utils.rename_data_object_keys"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rename_data_object_keys</span></code></a>(→ torch_geometric.data.Data)</p></td>
+<td><p>Rename data object keys</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets._utils.rename_data_object_keys">
+<span class="sig-prename descclassname"><span class="pre">core.datasets._utils.</span></span><span class="sig-name descname"><span class="pre">rename_data_object_keys</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_object</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key_mapping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch_geometric.data.Data</span></span></span><a class="headerlink" href="#core.datasets._utils.rename_data_object_keys" title="Link to this definition">#</a></dt>
+<dd><p>Rename data object keys</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_object</strong> – data object</p></li>
+<li><p><strong>key_mapping</strong> – dictionary specifying keys to rename and new names {prev_key: new_key}</p></li>
+<li><p><strong>keys</strong> (<em>new_key can be a list</em><em> of </em><em>new</em>)</p></li>
+<li><p><strong>example</strong> (<em>for</em>)</p></li>
+</ul>
+</dd>
+</dl>
+<p>:param :
+:param prev_key: energy
+:param new_key: [common_energy, oc20_energy]
+:param This is currently required when we use a single target/label for multiple tasks:</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets._utils.rename_data_object_keys"><code class="docutils literal notranslate"><span class="pre">rename_data_object_keys()</span></code></a></li>
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+    <h1>core.datasets.ase_datasets</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.apply_one_tags"><code class="docutils literal notranslate"><span class="pre">apply_one_tags()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.a2g"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.a2g</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.key_mapping"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.key_mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.transforms"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.transforms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.atoms_transform"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.atoms_transform</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.ids"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.num_samples"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.num_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.__getitem__"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.__getitem__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.get_relaxed_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.sample_property_metadata()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.get_metadata"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.get_metadata()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadDataset"><code class="docutils literal notranslate"><span class="pre">AseReadDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseReadDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseReadDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseReadDataset.get_relaxed_energy()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.sample_property_metadata()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.get_relaxed_energy()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset"><code class="docutils literal notranslate"><span class="pre">AseDBDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseDBDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset.__del__"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.__del__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.sample_property_metadata()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.datasets.ase_datasets">
+<span id="core-datasets-ase-datasets"></span><h1>core.datasets.ase_datasets<a class="headerlink" href="#module-core.datasets.ase_datasets" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.ase_datasets.AseAtomsDataset" title="core.datasets.ase_datasets.AseAtomsDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseAtomsDataset</span></code></a></p></td>
+<td><p>This is an abstract Dataset that includes helpful utilities for turning</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.ase_datasets.AseReadDataset" title="core.datasets.ase_datasets.AseReadDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseReadDataset</span></code></a></p></td>
+<td><p>This Dataset uses ase.io.read to load data from a directory on disk.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset" title="core.datasets.ase_datasets.AseReadMultiStructureDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset</span></code></a></p></td>
+<td><p>This Dataset can read multiple structures from each file using ase.io.read.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.ase_datasets.AseDBDataset" title="core.datasets.ase_datasets.AseDBDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseDBDataset</span></code></a></p></td>
+<td><p>This Dataset connects to an ASE Database, allowing the storage of atoms objects</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.ase_datasets.apply_one_tags" title="core.datasets.ase_datasets.apply_one_tags"><code class="xref py py-obj docutils literal notranslate"><span class="pre">apply_one_tags</span></code></a>(atoms[, skip_if_nonzero, skip_always])</p></td>
+<td><p>This function will apply tags of 1 to an ASE atoms object.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.apply_one_tags">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.ase_datasets.</span></span><span class="sig-name descname"><span class="pre">apply_one_tags</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">skip_if_nonzero</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">skip_always</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.apply_one_tags" title="Link to this definition">#</a></dt>
+<dd><p>This function will apply tags of 1 to an ASE atoms object.
+It is used as an atoms_transform in the datasets contained in this file.</p>
+<p>Certain models will treat atoms differently depending on their tags.
+For example, GemNet-OC by default will only compute triplet and quadruplet interactions
+for atoms with non-zero tags. This model throws an error if there are no tagged atoms.
+For this reason, the default behavior is to tag atoms in structures with no tags.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>skip_if_nonzero</strong> (<em>bool</em>) – If at least one atom has a nonzero tag, do not tag any atoms</p></li>
+<li><p><strong>skip_always</strong> (<em>bool</em>) – Do not apply any tags. This arg exists so that this function can be disabled
+without needing to pass a callable (which is currently difficult to do with main.py)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.ase_datasets.</span></span><span class="sig-name descname"><span class="pre">AseAtomsDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">apply_one_tags</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.datasets.base_dataset.BaseDataset</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
+<p>This is an abstract Dataset that includes helpful utilities for turning
+ASE atoms objects into OCP-usable data objects. This should not be instantiated directly
+as get_atoms_object and load_dataset_get_ids are not implemented in this base class.</p>
+<dl>
+<dt>Derived classes must add at least two things:</dt><dd><p>self.get_atoms_object(id): a function that takes an identifier and returns a corresponding atoms object</p>
+<dl class="simple">
+<dt>self.load_dataset_get_ids(config: dict): This function is responsible for any initialization/loads</dt><dd><p>of the dataset and importantly must return a list of all possible identifiers that can be passed into
+self.get_atoms_object(id)</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<p>Identifiers need not be any particular type.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.a2g">
+<span class="sig-name descname"><span class="pre">a2g</span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.a2g" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.key_mapping">
+<span class="sig-name descname"><span class="pre">key_mapping</span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.key_mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.transforms">
+<span class="sig-name descname"><span class="pre">transforms</span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.transforms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.atoms_transform">
+<span class="sig-name descname"><span class="pre">atoms_transform</span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.atoms_transform" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.ids">
+<span class="sig-name descname"><span class="pre">ids</span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.num_samples">
+<span class="sig-name descname"><span class="pre">num_samples</span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.num_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.__getitem__">
+<span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.__getitem__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.get_atoms">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.get_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset._load_dataset_get_ids">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_load_dataset_get_ids</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset._load_dataset_get_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.get_relaxed_energy">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_relaxed_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">identifier</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.get_relaxed_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.sample_property_metadata">
+<span class="sig-name descname"><span class="pre">sample_property_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.sample_property_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseAtomsDataset.get_metadata">
+<span class="sig-name descname"><span class="pre">get_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.AseAtomsDataset.get_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseReadDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.ase_datasets.</span></span><span class="sig-name descname"><span class="pre">AseReadDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">apply_one_tags</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.AseReadDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.datasets.ase_datasets.AseAtomsDataset" title="core.datasets.ase_datasets.AseAtomsDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseAtomsDataset</span></code></a></p>
+<p>This Dataset uses ase.io.read to load data from a directory on disk.
+This is intended for small-scale testing and demonstrations of OCP.
+Larger datasets are better served by the efficiency of other dataset types
+such as LMDB.</p>
+<p>For a full list of ASE-readable filetypes, see
+<a class="reference external" href="https://wiki.fysik.dtu.dk/ase/ase/io/io.html">https://wiki.fysik.dtu.dk/ase/ase/io/io.html</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – <p>src (str): The source folder that contains your ASE-readable files</p>
+<dl>
+<dt>pattern (str): Filepath matching each file you want to read</dt><dd><p>ex. “<em>/POSCAR”, “</em>.cif”, “<em>.xyz”
+search recursively with two wildcards: “*</em>/POSCAR” or “<a href="#id1"><span class="problematic" id="id2">**</span></a>/<a href="#id3"><span class="problematic" id="id4">*</span></a>.cif”</p>
+</dd>
+<dt>a2g_args (dict): Keyword arguments for fairchem.core.preprocessing.AtomsToGraphs()</dt><dd><p>default options will work for most users</p>
+<p>If you are using this for a training dataset, set
+“r_energy”:True, “r_forces”:True, and/or “r_stress”:True as appropriate
+In that case, energy/forces must be in the files you read (ex. OUTCAR)</p>
+</dd>
+</dl>
+<p>ase_read_args (dict): Keyword arguments for ase.io.read()</p>
+<dl class="simple">
+<dt>keep_in_memory (bool): Store data in memory. This helps avoid random reads if you need</dt><dd><p>to iterate over a dataset many times (e.g. training for many epochs).
+Not recommended for large datasets.</p>
+</dd>
+<dt>include_relaxed_energy (bool): Include the relaxed energy in the resulting data object.</dt><dd><p>The relaxed structure is assumed to be the final structure in the file
+(e.g. the last frame of a .traj).</p>
+</dd>
+</dl>
+<p>atoms_transform_args (dict): Additional keyword arguments for the atoms_transform callable</p>
+<p>transform_args (dict): Additional keyword arguments for the transform callable</p>
+<dl class="simple">
+<dt>key_mapping (dict[str, str]): Dictionary specifying a mapping between the name of a property used</dt><dd><p>in the model with the corresponding property as it was named in the dataset. Only need to use if
+the name is different.</p>
+</dd>
+</dl>
+</p></li>
+<li><p><strong>atoms_transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – Additional preprocessing function applied to the Atoms
+object. Useful for applying tags, for example.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseReadDataset._load_dataset_get_ids">
+<span class="sig-name descname"><span class="pre">_load_dataset_get_ids</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseReadDataset._load_dataset_get_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseReadDataset.get_atoms">
+<span class="sig-name descname"><span class="pre">get_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseReadDataset.get_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseReadDataset.get_relaxed_energy">
+<span class="sig-name descname"><span class="pre">get_relaxed_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">identifier</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseReadDataset.get_relaxed_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseReadMultiStructureDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.ase_datasets.</span></span><span class="sig-name descname"><span class="pre">AseReadMultiStructureDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">apply_one_tags</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.datasets.ase_datasets.AseAtomsDataset" title="core.datasets.ase_datasets.AseAtomsDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseAtomsDataset</span></code></a></p>
+<p>This Dataset can read multiple structures from each file using ase.io.read.
+The disadvantage is that all files must be read at startup.
+This is a significant cost for large datasets.</p>
+<p>This is intended for small-scale testing and demonstrations of OCP.
+Larger datasets are better served by the efficiency of other dataset types
+such as LMDB.</p>
+<p>For a full list of ASE-readable filetypes, see
+<a class="reference external" href="https://wiki.fysik.dtu.dk/ase/ase/io/io.html">https://wiki.fysik.dtu.dk/ase/ase/io/io.html</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – <p>src (str): The source folder that contains your ASE-readable files</p>
+<dl>
+<dt>pattern (str): Filepath matching each file you want to read</dt><dd><p>ex. “<em>.traj”, “</em>.xyz”
+search recursively with two wildcards: “<strong>/POSCAR” or “</strong>/<a href="#id5"><span class="problematic" id="id6">*</span></a>.cif”</p>
+</dd>
+<dt>index_file (str): Filepath to an indexing file, which contains each filename</dt><dd><p>and the number of structures contained in each file. For instance:</p>
+<p>/path/to/relaxation1.traj 200
+/path/to/relaxation2.traj 150</p>
+<p>This will overrule the src and pattern that you specify!</p>
+</dd>
+<dt>a2g_args (dict): Keyword arguments for fairchem.core.preprocessing.AtomsToGraphs()</dt><dd><p>default options will work for most users</p>
+<p>If you are using this for a training dataset, set
+“r_energy”:True, “r_forces”:True, and/or “r_stress”:True as appropriate
+In that case, energy/forces must be in the files you read (ex. OUTCAR)</p>
+</dd>
+</dl>
+<p>ase_read_args (dict): Keyword arguments for ase.io.read()</p>
+<dl class="simple">
+<dt>keep_in_memory (bool): Store data in memory. This helps avoid random reads if you need</dt><dd><p>to iterate over a dataset many times (e.g. training for many epochs).
+Not recommended for large datasets.</p>
+</dd>
+<dt>include_relaxed_energy (bool): Include the relaxed energy in the resulting data object.</dt><dd><p>The relaxed structure is assumed to be the final structure in the file
+(e.g. the last frame of a .traj).</p>
+</dd>
+</dl>
+<p>use_tqdm (bool): Use TQDM progress bar when initializing dataset</p>
+<p>atoms_transform_args (dict): Additional keyword arguments for the atoms_transform callable</p>
+<p>transform_args (dict): Additional keyword arguments for the transform callable</p>
+<dl class="simple">
+<dt>key_mapping (dict[str, str]): Dictionary specifying a mapping between the name of a property used</dt><dd><p>in the model with the corresponding property as it was named in the dataset. Only need to use if
+the name is different.</p>
+</dd>
+</dl>
+</p></li>
+<li><p><strong>atoms_transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – Additional preprocessing function applied to the Atoms
+object. Useful for applying tags, for example.</p></li>
+<li><p><strong>transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – Additional preprocessing function for the Data object</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseReadMultiStructureDataset._load_dataset_get_ids">
+<span class="sig-name descname"><span class="pre">_load_dataset_get_ids</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset._load_dataset_get_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseReadMultiStructureDataset.get_atoms">
+<span class="sig-name descname"><span class="pre">get_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset.get_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseReadMultiStructureDataset.sample_property_metadata">
+<span class="sig-name descname"><span class="pre">sample_property_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset.sample_property_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseReadMultiStructureDataset.get_relaxed_energy">
+<span class="sig-name descname"><span class="pre">get_relaxed_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">identifier</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset.get_relaxed_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseDBDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.ase_datasets.</span></span><span class="sig-name descname"><span class="pre">AseDBDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">apply_one_tags</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.AseDBDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.datasets.ase_datasets.AseAtomsDataset" title="core.datasets.ase_datasets.AseAtomsDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseAtomsDataset</span></code></a></p>
+<p>This Dataset connects to an ASE Database, allowing the storage of atoms objects
+with a variety of backends including JSON, SQLite, and database server options.</p>
+<p>For more information, see:
+<a class="reference external" href="https://databases.fysik.dtu.dk/ase/ase/db/db.html">https://databases.fysik.dtu.dk/ase/ase/db/db.html</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – <dl>
+<dt>src (str): Either</dt><dd><ul>
+<li><p>the path an ASE DB,</p></li>
+<li><p>the connection address of an ASE DB,</p></li>
+<li><p>a folder with multiple ASE DBs,</p></li>
+<li><p>a list of folders with ASE DBs</p></li>
+<li><p>a glob string to use to find ASE DBs, or</p></li>
+<li><p>a list of ASE db paths/addresses.</p></li>
+</ul>
+<p>If a folder, every file will be attempted as an ASE DB, and warnings
+are raised for any files that can’t connect cleanly</p>
+<p>Note that for large datasets, ID loading can be slow and there can be many
+ids, so it’s advised to make loading the id list as easy as possible. There is not
+an obvious way to get a full list of ids from most ASE dbs besides simply looping
+through the entire dataset. See the AseLMDBDataset which was written with this usecase
+in mind.</p>
+</dd>
+</dl>
+<p>connect_args (dict): Keyword arguments for ase.db.connect()</p>
+<dl>
+<dt>select_args (dict): Keyword arguments for ase.db.select()</dt><dd><p>You can use this to query/filter your database</p>
+</dd>
+<dt>a2g_args (dict): Keyword arguments for fairchem.core.preprocessing.AtomsToGraphs()</dt><dd><p>default options will work for most users</p>
+<p>If you are using this for a training dataset, set
+“r_energy”:True, “r_forces”:True, and/or “r_stress”:True as appropriate
+In that case, energy/forces must be in the database</p>
+</dd>
+<dt>keep_in_memory (bool): Store data in memory. This helps avoid random reads if you need</dt><dd><p>to iterate over a dataset many times (e.g. training for many epochs).
+Not recommended for large datasets.</p>
+</dd>
+</dl>
+<p>atoms_transform_args (dict): Additional keyword arguments for the atoms_transform callable</p>
+<dl class="simple">
+<dt>transforms (dict[str, dict]): Dictionary specifying data transforms as {transform_function: config}</dt><dd><p>where config is a dictionary specifying arguments to the transform_function</p>
+</dd>
+<dt>key_mapping (dict[str, str]): Dictionary specifying a mapping between the name of a property used</dt><dd><p>in the model with the corresponding property as it was named in the dataset. Only need to use if
+the name is different.</p>
+</dd>
+</dl>
+</p></li>
+<li><p><strong>atoms_transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – Additional preprocessing function applied to the Atoms
+object. Useful for applying tags, for example.</p></li>
+<li><p><strong>transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – deprecated?</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseDBDataset._load_dataset_get_ids">
+<span class="sig-name descname"><span class="pre">_load_dataset_get_ids</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseDBDataset._load_dataset_get_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseDBDataset.get_atoms">
+<span class="sig-name descname"><span class="pre">get_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseDBDataset.get_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Get atoms object corresponding to datapoint idx. Useful to read other properties not in data object.
+:param idx: index in dataset
+:type idx: int</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ASE atoms corresponding to datapoint idx</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>atoms</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseDBDataset.connect_db">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">connect_db</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">address</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">connect_args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.db.core.Database</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseDBDataset.connect_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseDBDataset.__del__">
+<span class="sig-name descname"><span class="pre">__del__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.ase_datasets.AseDBDataset.__del__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.ase_datasets.AseDBDataset.sample_property_metadata">
+<span class="sig-name descname"><span class="pre">sample_property_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#core.datasets.ase_datasets.AseDBDataset.sample_property_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+        },
+        predefinedOutput: true
+    }
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.apply_one_tags"><code class="docutils literal notranslate"><span class="pre">apply_one_tags()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.a2g"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.a2g</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.key_mapping"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.key_mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.transforms"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.transforms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.atoms_transform"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.atoms_transform</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.ids"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.num_samples"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.num_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.__getitem__"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.__getitem__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.get_relaxed_energy()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.sample_property_metadata()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseAtomsDataset.get_metadata"><code class="docutils literal notranslate"><span class="pre">AseAtomsDataset.get_metadata()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadDataset"><code class="docutils literal notranslate"><span class="pre">AseReadDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseReadDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseReadDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseReadDataset.get_relaxed_energy()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.sample_property_metadata()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseReadMultiStructureDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.get_relaxed_energy()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset"><code class="docutils literal notranslate"><span class="pre">AseDBDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseDBDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset.__del__"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.__del__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.ase_datasets.AseDBDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.sample_property_metadata()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+</ul>
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+    <h1>core.datasets.base_dataset</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.T_co"><code class="docutils literal notranslate"><span class="pre">T_co</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.UnsupportedDatasetError"><code class="docutils literal notranslate"><span class="pre">UnsupportedDatasetError</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset"><code class="docutils literal notranslate"><span class="pre">BaseDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.config"><code class="docutils literal notranslate"><span class="pre">BaseDataset.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.paths"><code class="docutils literal notranslate"><span class="pre">BaseDataset.paths</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.lin_ref"><code class="docutils literal notranslate"><span class="pre">BaseDataset.lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.__len__"><code class="docutils literal notranslate"><span class="pre">BaseDataset.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.metadata_hasattr"><code class="docutils literal notranslate"><span class="pre">BaseDataset.metadata_hasattr()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.indices"><code class="docutils literal notranslate"><span class="pre">BaseDataset.indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset._metadata"><code class="docutils literal notranslate"><span class="pre">BaseDataset._metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.get_metadata"><code class="docutils literal notranslate"><span class="pre">BaseDataset.get_metadata()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset"><code class="docutils literal notranslate"><span class="pre">Subset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.metadata"><code class="docutils literal notranslate"><span class="pre">Subset.metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.indices"><code class="docutils literal notranslate"><span class="pre">Subset.indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.num_samples"><code class="docutils literal notranslate"><span class="pre">Subset.num_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.config"><code class="docutils literal notranslate"><span class="pre">Subset.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset._metadata"><code class="docutils literal notranslate"><span class="pre">Subset._metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.get_metadata"><code class="docutils literal notranslate"><span class="pre">Subset.get_metadata()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.create_dataset"><code class="docutils literal notranslate"><span class="pre">create_dataset()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.datasets.base_dataset">
+<span id="core-datasets-base-dataset"></span><h1>core.datasets.base_dataset<a class="headerlink" href="#module-core.datasets.base_dataset" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.base_dataset.T_co" title="core.datasets.base_dataset.T_co"><code class="xref py py-obj docutils literal notranslate"><span class="pre">T_co</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="exceptions">
+<h2>Exceptions<a class="headerlink" href="#exceptions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.base_dataset.UnsupportedDatasetError" title="core.datasets.base_dataset.UnsupportedDatasetError"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedDatasetError</span></code></a></p></td>
+<td><p>Inappropriate argument value (of correct type).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.base_dataset.BaseDataset" title="core.datasets.base_dataset.BaseDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseDataset</span></code></a></p></td>
+<td><p>Base Dataset class for all OCP datasets.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.base_dataset.Subset" title="core.datasets.base_dataset.Subset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Subset</span></code></a></p></td>
+<td><p>A pytorch subset that also takes metadata if given.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.base_dataset.create_dataset" title="core.datasets.base_dataset.create_dataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">create_dataset</span></code></a>(→ Subset)</p></td>
+<td><p>Create a dataset from a config dictionary</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.T_co">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.base_dataset.</span></span><span class="sig-name descname"><span class="pre">T_co</span></span><a class="headerlink" href="#core.datasets.base_dataset.T_co" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.UnsupportedDatasetError">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.base_dataset.</span></span><span class="sig-name descname"><span class="pre">UnsupportedDatasetError</span></span><a class="headerlink" href="#core.datasets.base_dataset.UnsupportedDatasetError" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">ValueError</span></code></p>
+<p>Inappropriate argument value (of correct type).</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.BaseDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.base_dataset.</span></span><span class="sig-name descname"><span class="pre">BaseDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.base_dataset.BaseDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.utils.data.Dataset</span></code>[<a class="reference internal" href="#core.datasets.base_dataset.T_co" title="core.datasets.base_dataset.T_co"><code class="xref py py-obj docutils literal notranslate"><span class="pre">T_co</span></code></a>]</p>
+<p>Base Dataset class for all OCP datasets.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.BaseDataset.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.datasets.base_dataset.BaseDataset.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.BaseDataset.paths">
+<span class="sig-name descname"><span class="pre">paths</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#core.datasets.base_dataset.BaseDataset.paths" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.BaseDataset.lin_ref">
+<span class="sig-name descname"><span class="pre">lin_ref</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.datasets.base_dataset.BaseDataset.lin_ref" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.BaseDataset.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.datasets.base_dataset.BaseDataset.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.BaseDataset.metadata_hasattr">
+<span class="sig-name descname"><span class="pre">metadata_hasattr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.datasets.base_dataset.BaseDataset.metadata_hasattr" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.BaseDataset.indices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">indices</span></span><a class="headerlink" href="#core.datasets.base_dataset.BaseDataset.indices" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.BaseDataset._metadata">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_metadata</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.typing.ArrayLike</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.datasets.base_dataset.BaseDataset._metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.BaseDataset.get_metadata">
+<span class="sig-name descname"><span class="pre">get_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.base_dataset.BaseDataset.get_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.Subset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.base_dataset.</span></span><span class="sig-name descname"><span class="pre">Subset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#core.datasets.base_dataset.BaseDataset" title="core.datasets.base_dataset.BaseDataset"><span class="pre">BaseDataset</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.typing.ArrayLike</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.base_dataset.Subset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.utils.data.Subset</span></code>, <a class="reference internal" href="#core.datasets.base_dataset.BaseDataset" title="core.datasets.base_dataset.BaseDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseDataset</span></code></a></p>
+<p>A pytorch subset that also takes metadata if given.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.Subset.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><a class="headerlink" href="#core.datasets.base_dataset.Subset.metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.Subset.indices">
+<span class="sig-name descname"><span class="pre">indices</span></span><a class="headerlink" href="#core.datasets.base_dataset.Subset.indices" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.Subset.num_samples">
+<span class="sig-name descname"><span class="pre">num_samples</span></span><a class="headerlink" href="#core.datasets.base_dataset.Subset.num_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.Subset.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.datasets.base_dataset.Subset.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.Subset._metadata">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_metadata</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.typing.ArrayLike</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.datasets.base_dataset.Subset._metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.Subset.get_metadata">
+<span class="sig-name descname"><span class="pre">get_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.base_dataset.Subset.get_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.base_dataset.create_dataset">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.base_dataset.</span></span><span class="sig-name descname"><span class="pre">create_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#core.datasets.base_dataset.Subset" title="core.datasets.base_dataset.Subset"><span class="pre">Subset</span></a></span></span><a class="headerlink" href="#core.datasets.base_dataset.create_dataset" title="Link to this definition">#</a></dt>
+<dd><p>Create a dataset from a config dictionary</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – dataset config dictionary</p></li>
+<li><p><strong>split</strong> (<em>str</em>) – name of split</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>dataset subset class</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="#core.datasets.base_dataset.Subset" title="core.datasets.base_dataset.Subset">Subset</a></p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.T_co"><code class="docutils literal notranslate"><span class="pre">T_co</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.UnsupportedDatasetError"><code class="docutils literal notranslate"><span class="pre">UnsupportedDatasetError</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset"><code class="docutils literal notranslate"><span class="pre">BaseDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.config"><code class="docutils literal notranslate"><span class="pre">BaseDataset.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.paths"><code class="docutils literal notranslate"><span class="pre">BaseDataset.paths</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.lin_ref"><code class="docutils literal notranslate"><span class="pre">BaseDataset.lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.__len__"><code class="docutils literal notranslate"><span class="pre">BaseDataset.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.metadata_hasattr"><code class="docutils literal notranslate"><span class="pre">BaseDataset.metadata_hasattr()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.indices"><code class="docutils literal notranslate"><span class="pre">BaseDataset.indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset._metadata"><code class="docutils literal notranslate"><span class="pre">BaseDataset._metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.BaseDataset.get_metadata"><code class="docutils literal notranslate"><span class="pre">BaseDataset.get_metadata()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset"><code class="docutils literal notranslate"><span class="pre">Subset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.metadata"><code class="docutils literal notranslate"><span class="pre">Subset.metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.indices"><code class="docutils literal notranslate"><span class="pre">Subset.indices</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.num_samples"><code class="docutils literal notranslate"><span class="pre">Subset.num_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.config"><code class="docutils literal notranslate"><span class="pre">Subset.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset._metadata"><code class="docutils literal notranslate"><span class="pre">Subset._metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.Subset.get_metadata"><code class="docutils literal notranslate"><span class="pre">Subset.get_metadata()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.base_dataset.create_dataset"><code class="docutils literal notranslate"><span class="pre">create_dataset()</span></code></a></li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
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diff --git a/autoapi/core/datasets/embeddings/atomic_radii/index.html b/autoapi/core/datasets/embeddings/atomic_radii/index.html
new file mode 100644
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.embeddings.atomic_radii.ATOMIC_RADII"><code class="docutils literal notranslate"><span class="pre">ATOMIC_RADII</span></code></a></li>
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+  <section id="module-core.datasets.embeddings.atomic_radii">
+<span id="core-datasets-embeddings-atomic-radii"></span><h1>core.datasets.embeddings.atomic_radii<a class="headerlink" href="#module-core.datasets.embeddings.atomic_radii" title="Link to this heading">#</a></h1>
+<p>Atomic radii in picometers</p>
+<p>NaN stored for unavailable parameters.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
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+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.embeddings.atomic_radii.ATOMIC_RADII" title="core.datasets.embeddings.atomic_radii.ATOMIC_RADII"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ATOMIC_RADII</span></code></a></p></td>
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+<span class="sig-prename descclassname"><span class="pre">core.datasets.embeddings.atomic_radii.</span></span><span class="sig-name descname"><span class="pre">ATOMIC_RADII</span></span><a class="headerlink" href="#core.datasets.embeddings.atomic_radii.ATOMIC_RADII" title="Link to this definition">#</a></dt>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.embeddings.continuous_embeddings.CONTINUOUS_EMBEDDINGS"><code class="docutils literal notranslate"><span class="pre">CONTINUOUS_EMBEDDINGS</span></code></a></li>
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+  <section id="module-core.datasets.embeddings.continuous_embeddings">
+<span id="core-datasets-embeddings-continuous-embeddings"></span><h1>core.datasets.embeddings.continuous_embeddings<a class="headerlink" href="#module-core.datasets.embeddings.continuous_embeddings" title="Link to this heading">#</a></h1>
+<p>CGCNN-like embeddings using continuous values instead of original k-hot.</p>
+<dl class="simple">
+<dt>Properties:</dt><dd><p>Group number
+Period number
+Electronegativity
+Covalent radius
+Valence electrons
+First ionization energy
+Electron affinity
+Block
+Atomic Volume</p>
+</dd>
+</dl>
+<p>NaN stored for unavaialable parameters.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.embeddings.continuous_embeddings.CONTINUOUS_EMBEDDINGS" title="core.datasets.embeddings.continuous_embeddings.CONTINUOUS_EMBEDDINGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CONTINUOUS_EMBEDDINGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.datasets.embeddings.continuous_embeddings.CONTINUOUS_EMBEDDINGS">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.embeddings.continuous_embeddings.</span></span><span class="sig-name descname"><span class="pre">CONTINUOUS_EMBEDDINGS</span></span><a class="headerlink" href="#core.datasets.embeddings.continuous_embeddings.CONTINUOUS_EMBEDDINGS" title="Link to this definition">#</a></dt>
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+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.embeddings.ATOMIC_RADII"><code class="docutils literal notranslate"><span class="pre">ATOMIC_RADII</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.embeddings.CONTINUOUS_EMBEDDINGS"><code class="docutils literal notranslate"><span class="pre">CONTINUOUS_EMBEDDINGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.embeddings.KHOT_EMBEDDINGS"><code class="docutils literal notranslate"><span class="pre">KHOT_EMBEDDINGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.embeddings.QMOF_KHOT_EMBEDDINGS"><code class="docutils literal notranslate"><span class="pre">QMOF_KHOT_EMBEDDINGS</span></code></a></li>
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+  <section id="module-core.datasets.embeddings">
+<span id="core-datasets-embeddings"></span><h1>core.datasets.embeddings<a class="headerlink" href="#module-core.datasets.embeddings" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="atomic_radii/index.html">core.datasets.embeddings.atomic_radii</a></li>
+<li class="toctree-l1"><a class="reference internal" href="continuous_embeddings/index.html">core.datasets.embeddings.continuous_embeddings</a></li>
+<li class="toctree-l1"><a class="reference internal" href="khot_embeddings/index.html">core.datasets.embeddings.khot_embeddings</a></li>
+<li class="toctree-l1"><a class="reference internal" href="qmof_khot_embeddings/index.html">core.datasets.embeddings.qmof_khot_embeddings</a></li>
+</ul>
+</div>
+</section>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.embeddings.ATOMIC_RADII" title="core.datasets.embeddings.ATOMIC_RADII"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ATOMIC_RADII</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.embeddings.CONTINUOUS_EMBEDDINGS" title="core.datasets.embeddings.CONTINUOUS_EMBEDDINGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CONTINUOUS_EMBEDDINGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.embeddings.KHOT_EMBEDDINGS" title="core.datasets.embeddings.KHOT_EMBEDDINGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KHOT_EMBEDDINGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.embeddings.QMOF_KHOT_EMBEDDINGS" title="core.datasets.embeddings.QMOF_KHOT_EMBEDDINGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QMOF_KHOT_EMBEDDINGS</span></code></a></p></td>
+<td><p></p></td>
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+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.datasets.embeddings.ATOMIC_RADII">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.embeddings.</span></span><span class="sig-name descname"><span class="pre">ATOMIC_RADII</span></span><a class="headerlink" href="#core.datasets.embeddings.ATOMIC_RADII" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.datasets.embeddings.CONTINUOUS_EMBEDDINGS">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.embeddings.</span></span><span class="sig-name descname"><span class="pre">CONTINUOUS_EMBEDDINGS</span></span><a class="headerlink" href="#core.datasets.embeddings.CONTINUOUS_EMBEDDINGS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.datasets.embeddings.KHOT_EMBEDDINGS">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.embeddings.</span></span><span class="sig-name descname"><span class="pre">KHOT_EMBEDDINGS</span></span><a class="headerlink" href="#core.datasets.embeddings.KHOT_EMBEDDINGS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.datasets.embeddings.QMOF_KHOT_EMBEDDINGS">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.embeddings.</span></span><span class="sig-name descname"><span class="pre">QMOF_KHOT_EMBEDDINGS</span></span><a class="headerlink" href="#core.datasets.embeddings.QMOF_KHOT_EMBEDDINGS" title="Link to this definition">#</a></dt>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.embeddings.khot_embeddings.KHOT_EMBEDDINGS"><code class="docutils literal notranslate"><span class="pre">KHOT_EMBEDDINGS</span></code></a></li>
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+  <section id="module-core.datasets.embeddings.khot_embeddings">
+<span id="core-datasets-embeddings-khot-embeddings"></span><h1>core.datasets.embeddings.khot_embeddings<a class="headerlink" href="#module-core.datasets.embeddings.khot_embeddings" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<p>Original CGCNN k-hot elemental embeddings.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
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+<td><p></p></td>
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+<span class="sig-prename descclassname"><span class="pre">core.datasets.embeddings.khot_embeddings.</span></span><span class="sig-name descname"><span class="pre">KHOT_EMBEDDINGS</span></span><a class="headerlink" href="#core.datasets.embeddings.khot_embeddings.KHOT_EMBEDDINGS" title="Link to this definition">#</a></dt>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.embeddings.qmof_khot_embeddings.QMOF_KHOT_EMBEDDINGS"><code class="docutils literal notranslate"><span class="pre">QMOF_KHOT_EMBEDDINGS</span></code></a></li>
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+  <section id="module-core.datasets.embeddings.qmof_khot_embeddings">
+<span id="core-datasets-embeddings-qmof-khot-embeddings"></span><h1>core.datasets.embeddings.qmof_khot_embeddings<a class="headerlink" href="#module-core.datasets.embeddings.qmof_khot_embeddings" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<p>k-hot elemental embeddings from QMOF, motivated by the following Github Issue threads:
+<a class="github reference external" href="https://github.com/txie-93/cgcnn/issues/2">txie-93/cgcnn#2</a>
+<a class="github reference external" href="https://github.com/arosen93/QMOF/issues/18">arosen93/QMOF#18</a></p>
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+<span class="sig-prename descclassname"><span class="pre">core.datasets.embeddings.qmof_khot_embeddings.</span></span><span class="sig-name descname"><span class="pre">QMOF_KHOT_EMBEDDINGS</span></span><a class="headerlink" href="#core.datasets.embeddings.qmof_khot_embeddings.QMOF_KHOT_EMBEDDINGS" title="Link to this definition">#</a></dt>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset"><code class="docutils literal notranslate"><span class="pre">AseDBDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseDBDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset.__del__"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.__del__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.sample_property_metadata()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadDataset"><code class="docutils literal notranslate"><span class="pre">AseReadDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseReadDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseReadDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseReadDataset.get_relaxed_energy()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.sample_property_metadata()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.get_relaxed_energy()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.create_dataset"><code class="docutils literal notranslate"><span class="pre">create_dataset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.readonly"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.readonly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.deleted_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.deleted_ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.__enter__"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.__enter__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.__exit__"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.__exit__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.close"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.close()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._write"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._write()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._update"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._update()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._write_deleted_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._write_deleted_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.delete"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.delete()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._get_row"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._get_row()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._get_row_by_index"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._get_row_by_index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._select"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._select()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.metadata"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._nextid"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._nextid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.count"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._load_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._load_ids()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset"><code class="docutils literal notranslate"><span class="pre">LmdbDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.sharded"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.sharded</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.path"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.key_mapping"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.key_mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.transforms"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.transforms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.__getitem__"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.__getitem__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.__del__"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.__del__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.data_list_collater"><code class="docutils literal notranslate"><span class="pre">data_list_collater()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.datasets">
+<span id="core-datasets"></span><h1>core.datasets<a class="headerlink" href="#module-core.datasets" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="_utils/index.html">core.datasets._utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="ase_datasets/index.html">core.datasets.ase_datasets</a></li>
+<li class="toctree-l1"><a class="reference internal" href="base_dataset/index.html">core.datasets.base_dataset</a></li>
+<li class="toctree-l1"><a class="reference internal" href="embeddings/index.html">core.datasets.embeddings</a></li>
+<li class="toctree-l1"><a class="reference internal" href="lmdb_database/index.html">core.datasets.lmdb_database</a></li>
+<li class="toctree-l1"><a class="reference internal" href="lmdb_dataset/index.html">core.datasets.lmdb_dataset</a></li>
+<li class="toctree-l1"><a class="reference internal" href="oc22_lmdb_dataset/index.html">core.datasets.oc22_lmdb_dataset</a></li>
+<li class="toctree-l1"><a class="reference internal" href="target_metadata_guesser/index.html">core.datasets.target_metadata_guesser</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.AseDBDataset" title="core.datasets.AseDBDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseDBDataset</span></code></a></p></td>
+<td><p>This Dataset connects to an ASE Database, allowing the storage of atoms objects</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.AseReadDataset" title="core.datasets.AseReadDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseReadDataset</span></code></a></p></td>
+<td><p>This Dataset uses ase.io.read to load data from a directory on disk.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.AseReadMultiStructureDataset" title="core.datasets.AseReadMultiStructureDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset</span></code></a></p></td>
+<td><p>This Dataset can read multiple structures from each file using ase.io.read.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.LMDBDatabase" title="core.datasets.LMDBDatabase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LMDBDatabase</span></code></a></p></td>
+<td><p>Base class for all databases.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.LmdbDataset" title="core.datasets.LmdbDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LmdbDataset</span></code></a></p></td>
+<td><p>Base Dataset class for all OCP datasets.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.create_dataset" title="core.datasets.create_dataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">create_dataset</span></code></a>(→ Subset)</p></td>
+<td><p>Create a dataset from a config dictionary</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.data_list_collater" title="core.datasets.data_list_collater"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data_list_collater</span></code></a>(...)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.AseDBDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.</span></span><span class="sig-name descname"><span class="pre">AseDBDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">apply_one_tags</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.AseDBDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">AseAtomsDataset</span></code></p>
+<p>This Dataset connects to an ASE Database, allowing the storage of atoms objects
+with a variety of backends including JSON, SQLite, and database server options.</p>
+<p>For more information, see:
+<a class="reference external" href="https://databases.fysik.dtu.dk/ase/ase/db/db.html">https://databases.fysik.dtu.dk/ase/ase/db/db.html</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – <dl>
+<dt>src (str): Either</dt><dd><ul>
+<li><p>the path an ASE DB,</p></li>
+<li><p>the connection address of an ASE DB,</p></li>
+<li><p>a folder with multiple ASE DBs,</p></li>
+<li><p>a list of folders with ASE DBs</p></li>
+<li><p>a glob string to use to find ASE DBs, or</p></li>
+<li><p>a list of ASE db paths/addresses.</p></li>
+</ul>
+<p>If a folder, every file will be attempted as an ASE DB, and warnings
+are raised for any files that can’t connect cleanly</p>
+<p>Note that for large datasets, ID loading can be slow and there can be many
+ids, so it’s advised to make loading the id list as easy as possible. There is not
+an obvious way to get a full list of ids from most ASE dbs besides simply looping
+through the entire dataset. See the AseLMDBDataset which was written with this usecase
+in mind.</p>
+</dd>
+</dl>
+<p>connect_args (dict): Keyword arguments for ase.db.connect()</p>
+<dl>
+<dt>select_args (dict): Keyword arguments for ase.db.select()</dt><dd><p>You can use this to query/filter your database</p>
+</dd>
+<dt>a2g_args (dict): Keyword arguments for fairchem.core.preprocessing.AtomsToGraphs()</dt><dd><p>default options will work for most users</p>
+<p>If you are using this for a training dataset, set
+“r_energy”:True, “r_forces”:True, and/or “r_stress”:True as appropriate
+In that case, energy/forces must be in the database</p>
+</dd>
+<dt>keep_in_memory (bool): Store data in memory. This helps avoid random reads if you need</dt><dd><p>to iterate over a dataset many times (e.g. training for many epochs).
+Not recommended for large datasets.</p>
+</dd>
+</dl>
+<p>atoms_transform_args (dict): Additional keyword arguments for the atoms_transform callable</p>
+<dl class="simple">
+<dt>transforms (dict[str, dict]): Dictionary specifying data transforms as {transform_function: config}</dt><dd><p>where config is a dictionary specifying arguments to the transform_function</p>
+</dd>
+<dt>key_mapping (dict[str, str]): Dictionary specifying a mapping between the name of a property used</dt><dd><p>in the model with the corresponding property as it was named in the dataset. Only need to use if
+the name is different.</p>
+</dd>
+</dl>
+</p></li>
+<li><p><strong>atoms_transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – Additional preprocessing function applied to the Atoms
+object. Useful for applying tags, for example.</p></li>
+<li><p><strong>transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – deprecated?</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseDBDataset._load_dataset_get_ids">
+<span class="sig-name descname"><span class="pre">_load_dataset_get_ids</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.datasets.AseDBDataset._load_dataset_get_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseDBDataset.get_atoms">
+<span class="sig-name descname"><span class="pre">get_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#core.datasets.AseDBDataset.get_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Get atoms object corresponding to datapoint idx. Useful to read other properties not in data object.
+:param idx: index in dataset
+:type idx: int</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ASE atoms corresponding to datapoint idx</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>atoms</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseDBDataset.connect_db">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">connect_db</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">address</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">connect_args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.db.core.Database</span></span></span><a class="headerlink" href="#core.datasets.AseDBDataset.connect_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseDBDataset.__del__">
+<span class="sig-name descname"><span class="pre">__del__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.AseDBDataset.__del__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseDBDataset.sample_property_metadata">
+<span class="sig-name descname"><span class="pre">sample_property_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#core.datasets.AseDBDataset.sample_property_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.AseReadDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.</span></span><span class="sig-name descname"><span class="pre">AseReadDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">apply_one_tags</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.AseReadDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">AseAtomsDataset</span></code></p>
+<p>This Dataset uses ase.io.read to load data from a directory on disk.
+This is intended for small-scale testing and demonstrations of OCP.
+Larger datasets are better served by the efficiency of other dataset types
+such as LMDB.</p>
+<p>For a full list of ASE-readable filetypes, see
+<a class="reference external" href="https://wiki.fysik.dtu.dk/ase/ase/io/io.html">https://wiki.fysik.dtu.dk/ase/ase/io/io.html</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – <p>src (str): The source folder that contains your ASE-readable files</p>
+<dl>
+<dt>pattern (str): Filepath matching each file you want to read</dt><dd><p>ex. “<em>/POSCAR”, “</em>.cif”, “<em>.xyz”
+search recursively with two wildcards: “*</em>/POSCAR” or “<a href="#id1"><span class="problematic" id="id2">**</span></a>/<a href="#id3"><span class="problematic" id="id4">*</span></a>.cif”</p>
+</dd>
+<dt>a2g_args (dict): Keyword arguments for fairchem.core.preprocessing.AtomsToGraphs()</dt><dd><p>default options will work for most users</p>
+<p>If you are using this for a training dataset, set
+“r_energy”:True, “r_forces”:True, and/or “r_stress”:True as appropriate
+In that case, energy/forces must be in the files you read (ex. OUTCAR)</p>
+</dd>
+</dl>
+<p>ase_read_args (dict): Keyword arguments for ase.io.read()</p>
+<dl class="simple">
+<dt>keep_in_memory (bool): Store data in memory. This helps avoid random reads if you need</dt><dd><p>to iterate over a dataset many times (e.g. training for many epochs).
+Not recommended for large datasets.</p>
+</dd>
+<dt>include_relaxed_energy (bool): Include the relaxed energy in the resulting data object.</dt><dd><p>The relaxed structure is assumed to be the final structure in the file
+(e.g. the last frame of a .traj).</p>
+</dd>
+</dl>
+<p>atoms_transform_args (dict): Additional keyword arguments for the atoms_transform callable</p>
+<p>transform_args (dict): Additional keyword arguments for the transform callable</p>
+<dl class="simple">
+<dt>key_mapping (dict[str, str]): Dictionary specifying a mapping between the name of a property used</dt><dd><p>in the model with the corresponding property as it was named in the dataset. Only need to use if
+the name is different.</p>
+</dd>
+</dl>
+</p></li>
+<li><p><strong>atoms_transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – Additional preprocessing function applied to the Atoms
+object. Useful for applying tags, for example.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseReadDataset._load_dataset_get_ids">
+<span class="sig-name descname"><span class="pre">_load_dataset_get_ids</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.datasets.AseReadDataset._load_dataset_get_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseReadDataset.get_atoms">
+<span class="sig-name descname"><span class="pre">get_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#core.datasets.AseReadDataset.get_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseReadDataset.get_relaxed_energy">
+<span class="sig-name descname"><span class="pre">get_relaxed_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">identifier</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#core.datasets.AseReadDataset.get_relaxed_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.AseReadMultiStructureDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.</span></span><span class="sig-name descname"><span class="pre">AseReadMultiStructureDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">apply_one_tags</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.AseReadMultiStructureDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">AseAtomsDataset</span></code></p>
+<p>This Dataset can read multiple structures from each file using ase.io.read.
+The disadvantage is that all files must be read at startup.
+This is a significant cost for large datasets.</p>
+<p>This is intended for small-scale testing and demonstrations of OCP.
+Larger datasets are better served by the efficiency of other dataset types
+such as LMDB.</p>
+<p>For a full list of ASE-readable filetypes, see
+<a class="reference external" href="https://wiki.fysik.dtu.dk/ase/ase/io/io.html">https://wiki.fysik.dtu.dk/ase/ase/io/io.html</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – <p>src (str): The source folder that contains your ASE-readable files</p>
+<dl>
+<dt>pattern (str): Filepath matching each file you want to read</dt><dd><p>ex. “<em>.traj”, “</em>.xyz”
+search recursively with two wildcards: “<strong>/POSCAR” or “</strong>/<a href="#id5"><span class="problematic" id="id6">*</span></a>.cif”</p>
+</dd>
+<dt>index_file (str): Filepath to an indexing file, which contains each filename</dt><dd><p>and the number of structures contained in each file. For instance:</p>
+<p>/path/to/relaxation1.traj 200
+/path/to/relaxation2.traj 150</p>
+<p>This will overrule the src and pattern that you specify!</p>
+</dd>
+<dt>a2g_args (dict): Keyword arguments for fairchem.core.preprocessing.AtomsToGraphs()</dt><dd><p>default options will work for most users</p>
+<p>If you are using this for a training dataset, set
+“r_energy”:True, “r_forces”:True, and/or “r_stress”:True as appropriate
+In that case, energy/forces must be in the files you read (ex. OUTCAR)</p>
+</dd>
+</dl>
+<p>ase_read_args (dict): Keyword arguments for ase.io.read()</p>
+<dl class="simple">
+<dt>keep_in_memory (bool): Store data in memory. This helps avoid random reads if you need</dt><dd><p>to iterate over a dataset many times (e.g. training for many epochs).
+Not recommended for large datasets.</p>
+</dd>
+<dt>include_relaxed_energy (bool): Include the relaxed energy in the resulting data object.</dt><dd><p>The relaxed structure is assumed to be the final structure in the file
+(e.g. the last frame of a .traj).</p>
+</dd>
+</dl>
+<p>use_tqdm (bool): Use TQDM progress bar when initializing dataset</p>
+<p>atoms_transform_args (dict): Additional keyword arguments for the atoms_transform callable</p>
+<p>transform_args (dict): Additional keyword arguments for the transform callable</p>
+<dl class="simple">
+<dt>key_mapping (dict[str, str]): Dictionary specifying a mapping between the name of a property used</dt><dd><p>in the model with the corresponding property as it was named in the dataset. Only need to use if
+the name is different.</p>
+</dd>
+</dl>
+</p></li>
+<li><p><strong>atoms_transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – Additional preprocessing function applied to the Atoms
+object. Useful for applying tags, for example.</p></li>
+<li><p><strong>transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – Additional preprocessing function for the Data object</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseReadMultiStructureDataset._load_dataset_get_ids">
+<span class="sig-name descname"><span class="pre">_load_dataset_get_ids</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.datasets.AseReadMultiStructureDataset._load_dataset_get_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseReadMultiStructureDataset.get_atoms">
+<span class="sig-name descname"><span class="pre">get_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#core.datasets.AseReadMultiStructureDataset.get_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseReadMultiStructureDataset.sample_property_metadata">
+<span class="sig-name descname"><span class="pre">sample_property_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#core.datasets.AseReadMultiStructureDataset.sample_property_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.AseReadMultiStructureDataset.get_relaxed_energy">
+<span class="sig-name descname"><span class="pre">get_relaxed_energy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">identifier</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#core.datasets.AseReadMultiStructureDataset.get_relaxed_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.create_dataset">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.</span></span><span class="sig-name descname"><span class="pre">create_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="base_dataset/index.html#core.datasets.base_dataset.Subset" title="core.datasets.base_dataset.Subset"><span class="pre">Subset</span></a></span></span><a class="headerlink" href="#core.datasets.create_dataset" title="Link to this definition">#</a></dt>
+<dd><p>Create a dataset from a config dictionary</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – dataset config dictionary</p></li>
+<li><p><strong>split</strong> (<em>str</em>) – name of split</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>dataset subset class</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="base_dataset/index.html#core.datasets.base_dataset.Subset" title="core.datasets.base_dataset.Subset">Subset</a></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.</span></span><span class="sig-name descname"><span class="pre">LMDBDatabase</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">create_indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_lock_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">serial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">readonly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.LMDBDatabase" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">ase.db.core.Database</span></code></p>
+<p>Base class for all databases.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase.readonly">
+<span class="sig-name descname"><span class="pre">readonly</span></span><a class="headerlink" href="#core.datasets.LMDBDatabase.readonly" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase.ids">
+<span class="sig-name descname"><span class="pre">ids</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#core.datasets.LMDBDatabase.ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase.deleted_ids">
+<span class="sig-name descname"><span class="pre">deleted_ids</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#core.datasets.LMDBDatabase.deleted_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase.__enter__">
+<span class="sig-name descname"><span class="pre">__enter__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">typing_extensions.Self</span></span></span><a class="headerlink" href="#core.datasets.LMDBDatabase.__enter__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase.__exit__">
+<span class="sig-name descname"><span class="pre">__exit__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">exc_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exc_value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tb</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.LMDBDatabase.__exit__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase.close">
+<span class="sig-name descname"><span class="pre">close</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.LMDBDatabase.close" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase._write">
+<span class="sig-name descname"><span class="pre">_write</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ase.db.row.AtomsRow</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key_value_pairs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.LMDBDatabase._write" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase._update">
+<span class="sig-name descname"><span class="pre">_update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key_value_pairs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.LMDBDatabase._update" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase._write_deleted_ids">
+<span class="sig-name descname"><span class="pre">_write_deleted_ids</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.LMDBDatabase._write_deleted_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase.delete">
+<span class="sig-name descname"><span class="pre">delete</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.LMDBDatabase.delete" title="Link to this definition">#</a></dt>
+<dd><p>Delete rows.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase._get_row">
+<span class="sig-name descname"><span class="pre">_get_row</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.LMDBDatabase._get_row" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase._get_row_by_index">
+<span class="sig-name descname"><span class="pre">_get_row_by_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.LMDBDatabase._get_row_by_index" title="Link to this definition">#</a></dt>
+<dd><p>Auxiliary function to get the ith entry, rather than a specific id</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase._select">
+<span class="sig-name descname"><span class="pre">_select</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">keys</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">explain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.LMDBDatabase._select" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase.metadata">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">metadata</span></span><a class="headerlink" href="#core.datasets.LMDBDatabase.metadata" title="Link to this definition">#</a></dt>
+<dd><p>Load the metadata from the DB if present</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase._nextid">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_nextid</span></span><a class="headerlink" href="#core.datasets.LMDBDatabase._nextid" title="Link to this definition">#</a></dt>
+<dd><p>Get the id of the next row to be written</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">selection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.datasets.LMDBDatabase.count" title="Link to this definition">#</a></dt>
+<dd><p>Count rows.</p>
+<p>See the select() method for the selection syntax.  Use db.count() or
+len(db) to count all rows.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LMDBDatabase._load_ids">
+<span class="sig-name descname"><span class="pre">_load_ids</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.LMDBDatabase._load_ids" title="Link to this definition">#</a></dt>
+<dd><p>Load ids from the DB</p>
+<p>Since ASE db ids are mostly 1-N integers, but can be missing entries
+if ids have been deleted. To save space and operating under the assumption
+that there will probably not be many deletions in most OCP datasets,
+we just store the deleted ids.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.LmdbDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.</span></span><span class="sig-name descname"><span class="pre">LmdbDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.LmdbDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.datasets.base_dataset.BaseDataset</span></code></p>
+<p>Base Dataset class for all OCP datasets.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.LmdbDataset.sharded">
+<span class="sig-name descname"><span class="pre">sharded</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><a class="headerlink" href="#core.datasets.LmdbDataset.sharded" title="Link to this definition">#</a></dt>
+<dd><p>Dataset class to load from LMDB files containing relaxation
+trajectories or single point computations.
+Useful for Structure to Energy &amp; Force (S2EF), Initial State to
+Relaxed State (IS2RS), and Initial State to Relaxed Energy (IS2RE) tasks.
+The keys in the LMDB must be integers (stored as ascii objects) starting
+from 0 through the length of the LMDB. For historical reasons any key named
+“length” is ignored since that was used to infer length of many lmdbs in the same
+folder, but lmdb lengths are now calculated directly from the number of keys.
+:param config: Dataset configuration
+:type config: dict</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.LmdbDataset.path">
+<span class="sig-name descname"><span class="pre">path</span></span><a class="headerlink" href="#core.datasets.LmdbDataset.path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.LmdbDataset.key_mapping">
+<span class="sig-name descname"><span class="pre">key_mapping</span></span><a class="headerlink" href="#core.datasets.LmdbDataset.key_mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.LmdbDataset.transforms">
+<span class="sig-name descname"><span class="pre">transforms</span></span><a class="headerlink" href="#core.datasets.LmdbDataset.transforms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LmdbDataset.__getitem__">
+<span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">T_co</span></span></span><a class="headerlink" href="#core.datasets.LmdbDataset.__getitem__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LmdbDataset.connect_db">
+<span class="sig-name descname"><span class="pre">connect_db</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmdb_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">lmdb.Environment</span></span></span><a class="headerlink" href="#core.datasets.LmdbDataset.connect_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.LmdbDataset.__del__">
+<span class="sig-name descname"><span class="pre">__del__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.LmdbDataset.__del__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.data_list_collater">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.</span></span><span class="sig-name descname"><span class="pre">data_list_collater</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">torch_geometric.data.data.BaseData</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">to_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch_geometric.data.data.BaseData</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.datasets.data_list_collater" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/datasets"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
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+              
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset"><code class="docutils literal notranslate"><span class="pre">AseDBDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseDBDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset.__del__"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.__del__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseDBDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseDBDataset.sample_property_metadata()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadDataset"><code class="docutils literal notranslate"><span class="pre">AseReadDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseReadDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseReadDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseReadDataset.get_relaxed_energy()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset._load_dataset_get_ids"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset._load_dataset_get_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset.get_atoms"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.get_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset.sample_property_metadata"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.sample_property_metadata()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.AseReadMultiStructureDataset.get_relaxed_energy"><code class="docutils literal notranslate"><span class="pre">AseReadMultiStructureDataset.get_relaxed_energy()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.create_dataset"><code class="docutils literal notranslate"><span class="pre">create_dataset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.readonly"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.readonly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.deleted_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.deleted_ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.__enter__"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.__enter__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.__exit__"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.__exit__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.close"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.close()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._write"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._write()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._update"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._update()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._write_deleted_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._write_deleted_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.delete"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.delete()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._get_row"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._get_row()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._get_row_by_index"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._get_row_by_index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._select"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._select()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.metadata"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._nextid"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._nextid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase.count"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LMDBDatabase._load_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._load_ids()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset"><code class="docutils literal notranslate"><span class="pre">LmdbDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.sharded"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.sharded</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.path"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.key_mapping"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.key_mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.transforms"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.transforms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.__getitem__"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.__getitem__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.LmdbDataset.__del__"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.__del__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.data_list_collater"><code class="docutils literal notranslate"><span class="pre">data_list_collater()</span></code></a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>core.datasets.lmdb_database</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.RESERVED_KEYS"><code class="docutils literal notranslate"><span class="pre">RESERVED_KEYS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.readonly"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.readonly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.deleted_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.deleted_ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.__enter__"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.__enter__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.__exit__"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.__exit__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.close"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.close()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._write"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._write()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._update"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._update()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._write_deleted_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._write_deleted_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.delete"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.delete()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._get_row"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._get_row()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._get_row_by_index"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._get_row_by_index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._select"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._select()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.metadata"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._nextid"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._nextid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.count"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._load_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._load_ids()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.datasets.lmdb_database">
+<span id="core-datasets-lmdb-database"></span><h1>core.datasets.lmdb_database<a class="headerlink" href="#module-core.datasets.lmdb_database" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is modified from the ASE db json backend
+and is thus licensed under the corresponding LGPL2.1 license</p>
+<p>The ASE notice for the LGPL2.1 license is available here:
+<a class="gitlab reference external" href="https://gitlab.com/ase/ase/-/blob/master/LICENSE">ase/ase/-/blob/master/LICENSE</a></p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.lmdb_database.RESERVED_KEYS" title="core.datasets.lmdb_database.RESERVED_KEYS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RESERVED_KEYS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.lmdb_database.LMDBDatabase" title="core.datasets.lmdb_database.LMDBDatabase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LMDBDatabase</span></code></a></p></td>
+<td><p>Base class for all databases.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.RESERVED_KEYS">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.lmdb_database.</span></span><span class="sig-name descname"><span class="pre">RESERVED_KEYS</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">['nextid',</span> <span class="pre">'metadata',</span> <span class="pre">'deleted_ids']</span></em><a class="headerlink" href="#core.datasets.lmdb_database.RESERVED_KEYS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.lmdb_database.</span></span><span class="sig-name descname"><span class="pre">LMDBDatabase</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">create_indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_lock_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">serial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">readonly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">ase.db.core.Database</span></code></p>
+<p>Base class for all databases.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase.readonly">
+<span class="sig-name descname"><span class="pre">readonly</span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase.readonly" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase.ids">
+<span class="sig-name descname"><span class="pre">ids</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase.ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase.deleted_ids">
+<span class="sig-name descname"><span class="pre">deleted_ids</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase.deleted_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase.__enter__">
+<span class="sig-name descname"><span class="pre">__enter__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">typing_extensions.Self</span></span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase.__enter__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase.__exit__">
+<span class="sig-name descname"><span class="pre">__exit__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">exc_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exc_value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tb</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase.__exit__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase.close">
+<span class="sig-name descname"><span class="pre">close</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase.close" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase._write">
+<span class="sig-name descname"><span class="pre">_write</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ase.db.row.AtomsRow</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key_value_pairs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase._write" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase._update">
+<span class="sig-name descname"><span class="pre">_update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key_value_pairs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase._update" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase._write_deleted_ids">
+<span class="sig-name descname"><span class="pre">_write_deleted_ids</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase._write_deleted_ids" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase.delete">
+<span class="sig-name descname"><span class="pre">delete</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase.delete" title="Link to this definition">#</a></dt>
+<dd><p>Delete rows.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase._get_row">
+<span class="sig-name descname"><span class="pre">_get_row</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase._get_row" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase._get_row_by_index">
+<span class="sig-name descname"><span class="pre">_get_row_by_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase._get_row_by_index" title="Link to this definition">#</a></dt>
+<dd><p>Auxiliary function to get the ith entry, rather than a specific id</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase._select">
+<span class="sig-name descname"><span class="pre">_select</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">keys</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">explain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase._select" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase.metadata">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">metadata</span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase.metadata" title="Link to this definition">#</a></dt>
+<dd><p>Load the metadata from the DB if present</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase._nextid">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_nextid</span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase._nextid" title="Link to this definition">#</a></dt>
+<dd><p>Get the id of the next row to be written</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">selection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase.count" title="Link to this definition">#</a></dt>
+<dd><p>Count rows.</p>
+<p>See the select() method for the selection syntax.  Use db.count() or
+len(db) to count all rows.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_database.LMDBDatabase._load_ids">
+<span class="sig-name descname"><span class="pre">_load_ids</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.datasets.lmdb_database.LMDBDatabase._load_ids" title="Link to this definition">#</a></dt>
+<dd><p>Load ids from the DB</p>
+<p>Since ASE db ids are mostly 1-N integers, but can be missing entries
+if ids have been deleted. To save space and operating under the assumption
+that there will probably not be many deletions in most OCP datasets,
+we just store the deleted ids.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.RESERVED_KEYS"><code class="docutils literal notranslate"><span class="pre">RESERVED_KEYS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.readonly"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.readonly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.deleted_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.deleted_ids</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.__enter__"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.__enter__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.__exit__"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.__exit__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.close"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.close()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._write"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._write()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._update"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._update()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._write_deleted_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._write_deleted_ids()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.delete"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.delete()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._get_row"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._get_row()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._get_row_by_index"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._get_row_by_index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._select"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._select()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.metadata"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.metadata</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._nextid"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._nextid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase.count"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_database.LMDBDatabase._load_ids"><code class="docutils literal notranslate"><span class="pre">LMDBDatabase._load_ids()</span></code></a></li>
+</ul>
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+    <h1>core.datasets.lmdb_dataset</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.T_co"><code class="docutils literal notranslate"><span class="pre">T_co</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset"><code class="docutils literal notranslate"><span class="pre">LmdbDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.sharded"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.sharded</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.path"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.key_mapping"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.key_mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.transforms"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.transforms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.__getitem__"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.__getitem__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.__del__"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.__del__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.data_list_collater"><code class="docutils literal notranslate"><span class="pre">data_list_collater()</span></code></a></li>
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+                  
+  <section id="module-core.datasets.lmdb_dataset">
+<span id="core-datasets-lmdb-dataset"></span><h1>core.datasets.lmdb_dataset<a class="headerlink" href="#module-core.datasets.lmdb_dataset" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.lmdb_dataset.T_co" title="core.datasets.lmdb_dataset.T_co"><code class="xref py py-obj docutils literal notranslate"><span class="pre">T_co</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.lmdb_dataset.LmdbDataset" title="core.datasets.lmdb_dataset.LmdbDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LmdbDataset</span></code></a></p></td>
+<td><p>Base Dataset class for all OCP datasets.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.lmdb_dataset.data_list_collater" title="core.datasets.lmdb_dataset.data_list_collater"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data_list_collater</span></code></a>(...)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.T_co">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.lmdb_dataset.</span></span><span class="sig-name descname"><span class="pre">T_co</span></span><a class="headerlink" href="#core.datasets.lmdb_dataset.T_co" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.LmdbDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.lmdb_dataset.</span></span><span class="sig-name descname"><span class="pre">LmdbDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.lmdb_dataset.LmdbDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.datasets.base_dataset.BaseDataset</span></code></p>
+<p>Base Dataset class for all OCP datasets.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.LmdbDataset.sharded">
+<span class="sig-name descname"><span class="pre">sharded</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><a class="headerlink" href="#core.datasets.lmdb_dataset.LmdbDataset.sharded" title="Link to this definition">#</a></dt>
+<dd><p>Dataset class to load from LMDB files containing relaxation
+trajectories or single point computations.
+Useful for Structure to Energy &amp; Force (S2EF), Initial State to
+Relaxed State (IS2RS), and Initial State to Relaxed Energy (IS2RE) tasks.
+The keys in the LMDB must be integers (stored as ascii objects) starting
+from 0 through the length of the LMDB. For historical reasons any key named
+“length” is ignored since that was used to infer length of many lmdbs in the same
+folder, but lmdb lengths are now calculated directly from the number of keys.
+:param config: Dataset configuration
+:type config: dict</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.LmdbDataset.path">
+<span class="sig-name descname"><span class="pre">path</span></span><a class="headerlink" href="#core.datasets.lmdb_dataset.LmdbDataset.path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.LmdbDataset.key_mapping">
+<span class="sig-name descname"><span class="pre">key_mapping</span></span><a class="headerlink" href="#core.datasets.lmdb_dataset.LmdbDataset.key_mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.LmdbDataset.transforms">
+<span class="sig-name descname"><span class="pre">transforms</span></span><a class="headerlink" href="#core.datasets.lmdb_dataset.LmdbDataset.transforms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.LmdbDataset.__getitem__">
+<span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">T_co</span></span></span><a class="headerlink" href="#core.datasets.lmdb_dataset.LmdbDataset.__getitem__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.LmdbDataset.connect_db">
+<span class="sig-name descname"><span class="pre">connect_db</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmdb_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">lmdb.Environment</span></span></span><a class="headerlink" href="#core.datasets.lmdb_dataset.LmdbDataset.connect_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.LmdbDataset.__del__">
+<span class="sig-name descname"><span class="pre">__del__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.lmdb_dataset.LmdbDataset.__del__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.lmdb_dataset.data_list_collater">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.lmdb_dataset.</span></span><span class="sig-name descname"><span class="pre">data_list_collater</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">torch_geometric.data.data.BaseData</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">to_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch_geometric.data.data.BaseData</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.datasets.lmdb_dataset.data_list_collater" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.T_co"><code class="docutils literal notranslate"><span class="pre">T_co</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset"><code class="docutils literal notranslate"><span class="pre">LmdbDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.sharded"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.sharded</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.path"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.key_mapping"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.key_mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.transforms"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.transforms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.__getitem__"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.__getitem__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.LmdbDataset.__del__"><code class="docutils literal notranslate"><span class="pre">LmdbDataset.__del__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.lmdb_dataset.data_list_collater"><code class="docutils literal notranslate"><span class="pre">data_list_collater()</span></code></a></li>
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+    <h1>core.datasets.oc22_lmdb_dataset</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.path"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.data2train"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.data2train</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.key_mapping"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.key_mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.transforms"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.transforms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.train_on_oc20_total_energies"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.train_on_oc20_total_energies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__len__"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__getitem__"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.__getitem__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.close_db"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.close_db()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.datasets.oc22_lmdb_dataset">
+<span id="core-datasets-oc22-lmdb-dataset"></span><h1>core.datasets.oc22_lmdb_dataset<a class="headerlink" href="#module-core.datasets.oc22_lmdb_dataset" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset" title="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OC22LmdbDataset</span></code></a></p></td>
+<td><p>Dataset class to load from LMDB files containing relaxation</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.datasets.oc22_lmdb_dataset.</span></span><span class="sig-name descname"><span class="pre">OC22LmdbDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.datasets.base_dataset.BaseDataset</span></code></p>
+<p>Dataset class to load from LMDB files containing relaxation
+trajectories or single point computations.</p>
+<p>Useful for Structure to Energy &amp; Force (S2EF), Initial State to
+Relaxed State (IS2RS), and Initial State to Relaxed Energy (IS2RE) tasks.</p>
+<p>The keys in the LMDB must be integers (stored as ascii objects) starting
+from 0 through the length of the LMDB. For historical reasons any key named
+“length” is ignored since that was used to infer length of many lmdbs in the same
+folder, but lmdb lengths are now calculated directly from the number of keys.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – Dataset configuration</p></li>
+<li><p><strong>transform</strong> (<em>callable</em><em>, </em><em>optional</em>) – Data transform function.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.path">
+<span class="sig-name descname"><span class="pre">path</span></span><a class="headerlink" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.data2train">
+<span class="sig-name descname"><span class="pre">data2train</span></span><a class="headerlink" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.data2train" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.key_mapping">
+<span class="sig-name descname"><span class="pre">key_mapping</span></span><a class="headerlink" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.key_mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.transforms">
+<span class="sig-name descname"><span class="pre">transforms</span></span><a class="headerlink" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.transforms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.train_on_oc20_total_energies">
+<span class="sig-name descname"><span class="pre">train_on_oc20_total_energies</span></span><a class="headerlink" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.train_on_oc20_total_energies" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__getitem__">
+<span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__getitem__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
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+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.connect_db">
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+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.close_db">
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.path"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.data2train"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.data2train</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.key_mapping"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.key_mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.transforms"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.transforms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.train_on_oc20_total_energies"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.train_on_oc20_total_energies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__len__"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__getitem__"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.__getitem__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.connect_db"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.connect_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.close_db"><code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset.close_db()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.uniform_atoms_lengths"><code class="docutils literal notranslate"><span class="pre">uniform_atoms_lengths()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.target_constant_shape"><code class="docutils literal notranslate"><span class="pre">target_constant_shape()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.target_per_atom"><code class="docutils literal notranslate"><span class="pre">target_per_atom()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.target_extensive"><code class="docutils literal notranslate"><span class="pre">target_extensive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.guess_target_metadata"><code class="docutils literal notranslate"><span class="pre">guess_target_metadata()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.guess_property_metadata"><code class="docutils literal notranslate"><span class="pre">guess_property_metadata()</span></code></a></li>
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+                
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+                <article class="bd-article">
+                  
+  <section id="module-core.datasets.target_metadata_guesser">
+<span id="core-datasets-target-metadata-guesser"></span><h1>core.datasets.target_metadata_guesser<a class="headerlink" href="#module-core.datasets.target_metadata_guesser" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.target_metadata_guesser.uniform_atoms_lengths" title="core.datasets.target_metadata_guesser.uniform_atoms_lengths"><code class="xref py py-obj docutils literal notranslate"><span class="pre">uniform_atoms_lengths</span></code></a>(→ bool)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.target_metadata_guesser.target_constant_shape" title="core.datasets.target_metadata_guesser.target_constant_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">target_constant_shape</span></code></a>(→ bool)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.target_metadata_guesser.target_per_atom" title="core.datasets.target_metadata_guesser.target_per_atom"><code class="xref py py-obj docutils literal notranslate"><span class="pre">target_per_atom</span></code></a>(→ bool)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.target_metadata_guesser.target_extensive" title="core.datasets.target_metadata_guesser.target_extensive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">target_extensive</span></code></a>(atoms_lens, target_samples[, threshold])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.datasets.target_metadata_guesser.guess_target_metadata" title="core.datasets.target_metadata_guesser.guess_target_metadata"><code class="xref py py-obj docutils literal notranslate"><span class="pre">guess_target_metadata</span></code></a>(atoms_len, target_samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.datasets.target_metadata_guesser.guess_property_metadata" title="core.datasets.target_metadata_guesser.guess_property_metadata"><code class="xref py py-obj docutils literal notranslate"><span class="pre">guess_property_metadata</span></code></a>(atoms_list)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.target_metadata_guesser.uniform_atoms_lengths">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.target_metadata_guesser.</span></span><span class="sig-name descname"><span class="pre">uniform_atoms_lengths</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_lens</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.datasets.target_metadata_guesser.uniform_atoms_lengths" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.target_metadata_guesser.target_constant_shape">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.target_metadata_guesser.</span></span><span class="sig-name descname"><span class="pre">target_constant_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_lens</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.datasets.target_metadata_guesser.target_constant_shape" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.target_metadata_guesser.target_per_atom">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.target_metadata_guesser.</span></span><span class="sig-name descname"><span class="pre">target_per_atom</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_lens</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#core.datasets.target_metadata_guesser.target_per_atom" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.target_metadata_guesser.target_extensive">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.target_metadata_guesser.</span></span><span class="sig-name descname"><span class="pre">target_extensive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_lens</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.target_metadata_guesser.target_extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.target_metadata_guesser.guess_target_metadata">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.target_metadata_guesser.</span></span><span class="sig-name descname"><span class="pre">guess_target_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.target_metadata_guesser.guess_target_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.datasets.target_metadata_guesser.guess_property_metadata">
+<span class="sig-prename descclassname"><span class="pre">core.datasets.target_metadata_guesser.</span></span><span class="sig-name descname"><span class="pre">guess_property_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.datasets.target_metadata_guesser.guess_property_metadata" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.uniform_atoms_lengths"><code class="docutils literal notranslate"><span class="pre">uniform_atoms_lengths()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.target_constant_shape"><code class="docutils literal notranslate"><span class="pre">target_constant_shape()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.target_per_atom"><code class="docutils literal notranslate"><span class="pre">target_per_atom()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.target_extensive"><code class="docutils literal notranslate"><span class="pre">target_extensive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.guess_target_metadata"><code class="docutils literal notranslate"><span class="pre">guess_target_metadata()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.datasets.target_metadata_guesser.guess_property_metadata"><code class="docutils literal notranslate"><span class="pre">guess_property_metadata()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData"><code class="docutils literal notranslate"><span class="pre">GraphData</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.edge_index"><code class="docutils literal notranslate"><span class="pre">GraphData.edge_index</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.cell_offsets"><code class="docutils literal notranslate"><span class="pre">GraphData.cell_offsets</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.offset_distances"><code class="docutils literal notranslate"><span class="pre">GraphData.offset_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.neighbors"><code class="docutils literal notranslate"><span class="pre">GraphData.neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.batch_full"><code class="docutils literal notranslate"><span class="pre">GraphData.batch_full</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.atomic_numbers_full"><code class="docutils literal notranslate"><span class="pre">GraphData.atomic_numbers_full</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.node_offset"><code class="docutils literal notranslate"><span class="pre">GraphData.node_offset</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphModelMixin"><code class="docutils literal notranslate"><span class="pre">GraphModelMixin</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphModelMixin.generate_graph"><code class="docutils literal notranslate"><span class="pre">GraphModelMixin.generate_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphModelMixin.num_params"><code class="docutils literal notranslate"><span class="pre">GraphModelMixin.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphModelMixin.no_weight_decay"><code class="docutils literal notranslate"><span class="pre">GraphModelMixin.no_weight_decay()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HeadInterface"><code class="docutils literal notranslate"><span class="pre">HeadInterface</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HeadInterface.use_amp"><code class="docutils literal notranslate"><span class="pre">HeadInterface.use_amp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HeadInterface.forward"><code class="docutils literal notranslate"><span class="pre">HeadInterface.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.BackboneInterface"><code class="docutils literal notranslate"><span class="pre">BackboneInterface</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.BackboneInterface.forward"><code class="docutils literal notranslate"><span class="pre">BackboneInterface.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel"><code class="docutils literal notranslate"><span class="pre">HydraModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel.device"><code class="docutils literal notranslate"><span class="pre">HydraModel.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel.otf_graph"><code class="docutils literal notranslate"><span class="pre">HydraModel.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel.pass_through_head_outputs"><code class="docutils literal notranslate"><span class="pre">HydraModel.pass_through_head_outputs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel.forward"><code class="docutils literal notranslate"><span class="pre">HydraModel.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.base">
+<span id="core-models-base"></span><h1>core.models.base<a class="headerlink" href="#module-core.models.base" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.base.GraphData" title="core.models.base.GraphData"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GraphData</span></code></a></p></td>
+<td><p>Class to keep graph attributes nicely packaged.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.base.GraphModelMixin" title="core.models.base.GraphModelMixin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GraphModelMixin</span></code></a></p></td>
+<td><p>Mixin Model class implementing some general convenience properties and methods.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.base.HeadInterface" title="core.models.base.HeadInterface"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HeadInterface</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.base.BackboneInterface" title="core.models.base.BackboneInterface"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BackboneInterface</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.base.HydraModel" title="core.models.base.HydraModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HydraModel</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.base.GraphData">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.base.</span></span><span class="sig-name descname"><span class="pre">GraphData</span></span><a class="headerlink" href="#core.models.base.GraphData" title="Link to this definition">#</a></dt>
+<dd><p>Class to keep graph attributes nicely packaged.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.GraphData.edge_index">
+<span class="sig-name descname"><span class="pre">edge_index</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.models.base.GraphData.edge_index" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.GraphData.edge_distance">
+<span class="sig-name descname"><span class="pre">edge_distance</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.models.base.GraphData.edge_distance" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.GraphData.edge_distance_vec">
+<span class="sig-name descname"><span class="pre">edge_distance_vec</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.models.base.GraphData.edge_distance_vec" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.GraphData.cell_offsets">
+<span class="sig-name descname"><span class="pre">cell_offsets</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.models.base.GraphData.cell_offsets" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.GraphData.offset_distances">
+<span class="sig-name descname"><span class="pre">offset_distances</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.models.base.GraphData.offset_distances" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.GraphData.neighbors">
+<span class="sig-name descname"><span class="pre">neighbors</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.models.base.GraphData.neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.GraphData.batch_full">
+<span class="sig-name descname"><span class="pre">batch_full</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.models.base.GraphData.batch_full" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.GraphData.atomic_numbers_full">
+<span class="sig-name descname"><span class="pre">atomic_numbers_full</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.models.base.GraphData.atomic_numbers_full" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.GraphData.node_offset">
+<span class="sig-name descname"><span class="pre">node_offset</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.base.GraphData.node_offset" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.base.GraphModelMixin">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.base.</span></span><span class="sig-name descname"><span class="pre">GraphModelMixin</span></span><a class="headerlink" href="#core.models.base.GraphModelMixin" title="Link to this definition">#</a></dt>
+<dd><p>Mixin Model class implementing some general convenience properties and methods.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.base.GraphModelMixin.generate_graph">
+<span class="sig-name descname"><span class="pre">generate_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_neighbors_strictly</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.base.GraphModelMixin.generate_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.base.GraphModelMixin.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.base.GraphModelMixin.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.base.GraphModelMixin.no_weight_decay">
+<span class="sig-name descname"><span class="pre">no_weight_decay</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span></span></span><a class="headerlink" href="#core.models.base.GraphModelMixin.no_weight_decay" title="Link to this definition">#</a></dt>
+<dd><p>Returns a list of parameters with no weight decay.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.base.HeadInterface">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.base.</span></span><span class="sig-name descname"><span class="pre">HeadInterface</span></span><a class="headerlink" href="#core.models.base.HeadInterface" title="Link to this definition">#</a></dt>
+<dd><dl class="py property">
+<dt class="sig sig-object py" id="core.models.base.HeadInterface.use_amp">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">use_amp</span></span><a class="headerlink" href="#core.models.base.HeadInterface.use_amp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.base.HeadInterface.forward">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.base.HeadInterface.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.base.BackboneInterface">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.base.</span></span><span class="sig-name descname"><span class="pre">BackboneInterface</span></span><a class="headerlink" href="#core.models.base.BackboneInterface" title="Link to this definition">#</a></dt>
+<dd><dl class="py method">
+<dt class="sig sig-object py" id="core.models.base.BackboneInterface.forward">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.base.BackboneInterface.forward" title="Link to this definition">#</a></dt>
+<dd><p>Backbone forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>embedding</strong> – Return backbone embeddings for the given input</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.base.HydraModel">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.base.</span></span><span class="sig-name descname"><span class="pre">HydraModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">heads</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">finetune_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pass_through_head_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freeze_backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.base.HydraModel" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <a class="reference internal" href="#core.models.base.GraphModelMixin" title="core.models.base.GraphModelMixin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GraphModelMixin</span></code></a></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.HydraModel.device">
+<span class="sig-name descname"><span class="pre">device</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.base.HydraModel.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.HydraModel.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.base.HydraModel.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.base.HydraModel.pass_through_head_outputs">
+<span class="sig-name descname"><span class="pre">pass_through_head_outputs</span></span><a class="headerlink" href="#core.models.base.HydraModel.pass_through_head_outputs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.base.HydraModel.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.base.HydraModel.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData"><code class="docutils literal notranslate"><span class="pre">GraphData</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.edge_index"><code class="docutils literal notranslate"><span class="pre">GraphData.edge_index</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.edge_distance"><code class="docutils literal notranslate"><span class="pre">GraphData.edge_distance</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.edge_distance_vec"><code class="docutils literal notranslate"><span class="pre">GraphData.edge_distance_vec</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.cell_offsets"><code class="docutils literal notranslate"><span class="pre">GraphData.cell_offsets</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.offset_distances"><code class="docutils literal notranslate"><span class="pre">GraphData.offset_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.neighbors"><code class="docutils literal notranslate"><span class="pre">GraphData.neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.batch_full"><code class="docutils literal notranslate"><span class="pre">GraphData.batch_full</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.atomic_numbers_full"><code class="docutils literal notranslate"><span class="pre">GraphData.atomic_numbers_full</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphData.node_offset"><code class="docutils literal notranslate"><span class="pre">GraphData.node_offset</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphModelMixin"><code class="docutils literal notranslate"><span class="pre">GraphModelMixin</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphModelMixin.generate_graph"><code class="docutils literal notranslate"><span class="pre">GraphModelMixin.generate_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphModelMixin.num_params"><code class="docutils literal notranslate"><span class="pre">GraphModelMixin.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.GraphModelMixin.no_weight_decay"><code class="docutils literal notranslate"><span class="pre">GraphModelMixin.no_weight_decay()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HeadInterface"><code class="docutils literal notranslate"><span class="pre">HeadInterface</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HeadInterface.use_amp"><code class="docutils literal notranslate"><span class="pre">HeadInterface.use_amp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HeadInterface.forward"><code class="docutils literal notranslate"><span class="pre">HeadInterface.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.BackboneInterface"><code class="docutils literal notranslate"><span class="pre">BackboneInterface</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.BackboneInterface.forward"><code class="docutils literal notranslate"><span class="pre">BackboneInterface.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel"><code class="docutils literal notranslate"><span class="pre">HydraModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel.device"><code class="docutils literal notranslate"><span class="pre">HydraModel.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel.otf_graph"><code class="docutils literal notranslate"><span class="pre">HydraModel.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel.pass_through_head_outputs"><code class="docutils literal notranslate"><span class="pre">HydraModel.pass_through_head_outputs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.base.HydraModel.forward"><code class="docutils literal notranslate"><span class="pre">HydraModel.forward()</span></code></a></li>
+</ul>
+</li>
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+    <h1>core.models.dimenet_plus_plus</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.sym"><code class="docutils literal notranslate"><span class="pre">sym</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.act"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf1"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_rbf1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf2"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_rbf2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf1"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_sbf1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf2"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_sbf2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_kj"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_kj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_ji"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_ji</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_down"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_down</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_up"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_up</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.layers_before_skip"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.layers_before_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.layers_after_skip"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.layers_after_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.forward"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.act"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.lin_rbf"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.lin_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.lin_up"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.lin_up</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.lins"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.lins</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.lin"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.lin</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.forward"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.url"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.url</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.cutoff"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.num_blocks"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.rbf"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.sbf"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.sbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.emb"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.output_blocks"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.output_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.interaction_blocks"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.interaction_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.reset_parameters"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.triplets"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapEnergyAndForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.regress_forces"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapEnergyAndForceHead.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapEnergyAndForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.regress_forces"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.cutoff"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.otf_graph"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.max_neighbors"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap._forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap._forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.num_params"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone.forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.dimenet_plus_plus">
+<span id="core-models-dimenet-plus-plus"></span><h1>core.models.dimenet_plus_plus<a class="headerlink" href="#module-core.models.dimenet_plus_plus" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<p>—</p>
+<p>This code borrows heavily from the DimeNet implementation as part of
+pytorch-geometric: <a class="github reference external" href="https://github.com/rusty1s/pytorch_geometric">rusty1s/pytorch_geometric</a>. License:</p>
+<p>—</p>
+<p>Copyright (c) 2020 Matthias Fey &lt;<a class="reference external" href="mailto:matthias&#46;fey&#37;&#52;&#48;tu-dortmund&#46;de">matthias<span>&#46;</span>fey<span>&#64;</span>tu-dortmund<span>&#46;</span>de</a>&gt;</p>
+<p>Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the “Software”), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:</p>
+<p>The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.</p>
+<p>THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.dimenet_plus_plus.sym" title="core.models.dimenet_plus_plus.sym"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sym</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.dimenet_plus_plus.InteractionPPBlock" title="core.models.dimenet_plus_plus.InteractionPPBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">InteractionPPBlock</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.dimenet_plus_plus.OutputPPBlock" title="core.models.dimenet_plus_plus.OutputPPBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OutputPPBlock</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus" title="core.models.dimenet_plus_plus.DimeNetPlusPlus"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DimeNetPlusPlus</span></code></a></p></td>
+<td><p>DimeNet++ implementation based on <a class="github reference external" href="https://github.com/klicperajo/dimenet">klicperajo/dimenet</a>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead" title="core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapEnergyAndForceHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap" title="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap</span></code></a></p></td>
+<td><p>DimeNet++ implementation based on <a class="github reference external" href="https://github.com/klicperajo/dimenet">klicperajo/dimenet</a>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone" title="core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapBackbone</span></code></a></p></td>
+<td><p>DimeNet++ implementation based on <a class="github reference external" href="https://github.com/klicperajo/dimenet">klicperajo/dimenet</a>.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.sym">
+<span class="sig-prename descclassname"><span class="pre">core.models.dimenet_plus_plus.</span></span><span class="sig-name descname"><span class="pre">sym</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.dimenet_plus_plus.sym" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.dimenet_plus_plus.</span></span><span class="sig-name descname"><span class="pre">InteractionPPBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int_emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'silu'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf1">
+<span class="sig-name descname"><span class="pre">lin_rbf1</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf2">
+<span class="sig-name descname"><span class="pre">lin_rbf2</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf1">
+<span class="sig-name descname"><span class="pre">lin_sbf1</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf2">
+<span class="sig-name descname"><span class="pre">lin_sbf2</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.lin_kj">
+<span class="sig-name descname"><span class="pre">lin_kj</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_kj" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.lin_ji">
+<span class="sig-name descname"><span class="pre">lin_ji</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_ji" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.lin_down">
+<span class="sig-name descname"><span class="pre">lin_down</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_down" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.lin_up">
+<span class="sig-name descname"><span class="pre">lin_up</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_up" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.layers_before_skip">
+<span class="sig-name descname"><span class="pre">layers_before_skip</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.layers_before_skip" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.lin">
+<span class="sig-name descname"><span class="pre">lin</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.layers_after_skip">
+<span class="sig-name descname"><span class="pre">layers_after_skip</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.layers_after_skip" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.InteractionPPBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_kj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_ji</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.InteractionPPBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.OutputPPBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.dimenet_plus_plus.</span></span><span class="sig-name descname"><span class="pre">OutputPPBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_emb_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'silu'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.OutputPPBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.OutputPPBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.OutputPPBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.OutputPPBlock.lin_rbf">
+<span class="sig-name descname"><span class="pre">lin_rbf</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.OutputPPBlock.lin_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.OutputPPBlock.lin_up">
+<span class="sig-name descname"><span class="pre">lin_up</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.OutputPPBlock.lin_up" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.OutputPPBlock.lins">
+<span class="sig-name descname"><span class="pre">lins</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.OutputPPBlock.lins" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.OutputPPBlock.lin">
+<span class="sig-name descname"><span class="pre">lin</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.OutputPPBlock.lin" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.OutputPPBlock.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.OutputPPBlock.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.OutputPPBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">i</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.OutputPPBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.dimenet_plus_plus.</span></span><span class="sig-name descname"><span class="pre">DimeNetPlusPlus</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int_emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_emb_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope_exponent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_output_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'silu'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>DimeNet++ implementation based on <a class="github reference external" href="https://github.com/klicperajo/dimenet">klicperajo/dimenet</a>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Hidden embedding size.</p></li>
+<li><p><strong>out_channels</strong> (<em>int</em>) – Size of each output sample.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks.</p></li>
+<li><p><strong>int_emb_size</strong> (<em>int</em>) – Embedding size used for interaction triplets</p></li>
+<li><p><strong>basis_emb_size</strong> (<em>int</em>) – Embedding size used in the basis transformation</p></li>
+<li><p><strong>out_emb_channels</strong> (<em>int</em>) – Embedding size used for atoms in the output block</p></li>
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Number of spherical harmonics.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Number of radial basis functions.</p></li>
+<li><p><strong>cutoff</strong> – (float, optional): Cutoff distance for interatomic
+interactions. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">5.0</span></code>)</p></li>
+<li><p><strong>envelope_exponent</strong> (<em>int</em><em>, </em><em>optional</em>) – Shape of the smooth cutoff.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">5</span></code>)</p></li>
+<li><p><strong>num_before_skip</strong> – (int, optional): Number of residual layers in the
+interaction blocks before the skip connection. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">1</span></code>)</p></li>
+<li><p><strong>num_after_skip</strong> – (int, optional): Number of residual layers in the
+interaction blocks after the skip connection. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">2</span></code>)</p></li>
+<li><p><strong>num_output_layers</strong> – (int, optional): Number of linear layers for the
+output blocks. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">3</span></code>)</p></li>
+<li><p><strong>act</strong> – (function, optional): The activation funtion.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">silu</span></code>)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.url">
+<span class="sig-name descname"><span class="pre">url</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'https://github.com/klicperajo/dimenet/raw/master/pretrained'</span></em><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.url" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.num_blocks">
+<span class="sig-name descname"><span class="pre">num_blocks</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.num_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.rbf">
+<span class="sig-name descname"><span class="pre">rbf</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.sbf">
+<span class="sig-name descname"><span class="pre">sbf</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.sbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.emb">
+<span class="sig-name descname"><span class="pre">emb</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.output_blocks">
+<span class="sig-name descname"><span class="pre">output_blocks</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.output_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.interaction_blocks">
+<span class="sig-name descname"><span class="pre">interaction_blocks</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.interaction_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.triplets">
+<span class="sig-name descname"><span class="pre">triplets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.triplets" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlus.forward">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">z</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.dimenet_plus_plus.</span></span><span class="sig-name descname"><span class="pre">DimeNetPlusPlusWrapEnergyAndForceHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.dimenet_plus_plus.</span></span><span class="sig-name descname"><span class="pre">DimeNetPlusPlusWrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int_emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_emb_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope_exponent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_output_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus" title="core.models.dimenet_plus_plus.DimeNetPlusPlus"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DimeNetPlusPlus</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>DimeNet++ implementation based on <a class="github reference external" href="https://github.com/klicperajo/dimenet">klicperajo/dimenet</a>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Hidden embedding size.</p></li>
+<li><p><strong>out_channels</strong> (<em>int</em>) – Size of each output sample.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks.</p></li>
+<li><p><strong>int_emb_size</strong> (<em>int</em>) – Embedding size used for interaction triplets</p></li>
+<li><p><strong>basis_emb_size</strong> (<em>int</em>) – Embedding size used in the basis transformation</p></li>
+<li><p><strong>out_emb_channels</strong> (<em>int</em>) – Embedding size used for atoms in the output block</p></li>
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Number of spherical harmonics.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Number of radial basis functions.</p></li>
+<li><p><strong>cutoff</strong> – (float, optional): Cutoff distance for interatomic
+interactions. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">5.0</span></code>)</p></li>
+<li><p><strong>envelope_exponent</strong> (<em>int</em><em>, </em><em>optional</em>) – Shape of the smooth cutoff.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">5</span></code>)</p></li>
+<li><p><strong>num_before_skip</strong> – (int, optional): Number of residual layers in the
+interaction blocks before the skip connection. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">1</span></code>)</p></li>
+<li><p><strong>num_after_skip</strong> – (int, optional): Number of residual layers in the
+interaction blocks after the skip connection. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">2</span></code>)</p></li>
+<li><p><strong>num_output_layers</strong> – (int, optional): Number of linear layers for the
+output blocks. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">3</span></code>)</p></li>
+<li><p><strong>act</strong> – (function, optional): The activation funtion.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">silu</span></code>)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">50</span></em><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap._forward">
+<span class="sig-name descname"><span class="pre">_forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap._forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.dimenet_plus_plus.</span></span><span class="sig-name descname"><span class="pre">DimeNetPlusPlusWrapBackbone</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int_emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_emb_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">7</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope_exponent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_output_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap" title="core.models.dimenet_plus_plus.DimeNetPlusPlusWrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.BackboneInterface</span></code></p>
+<p>DimeNet++ implementation based on <a class="github reference external" href="https://github.com/klicperajo/dimenet">klicperajo/dimenet</a>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Hidden embedding size.</p></li>
+<li><p><strong>out_channels</strong> (<em>int</em>) – Size of each output sample.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks.</p></li>
+<li><p><strong>int_emb_size</strong> (<em>int</em>) – Embedding size used for interaction triplets</p></li>
+<li><p><strong>basis_emb_size</strong> (<em>int</em>) – Embedding size used in the basis transformation</p></li>
+<li><p><strong>out_emb_channels</strong> (<em>int</em>) – Embedding size used for atoms in the output block</p></li>
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Number of spherical harmonics.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Number of radial basis functions.</p></li>
+<li><p><strong>cutoff</strong> – (float, optional): Cutoff distance for interatomic
+interactions. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">5.0</span></code>)</p></li>
+<li><p><strong>envelope_exponent</strong> (<em>int</em><em>, </em><em>optional</em>) – Shape of the smooth cutoff.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">5</span></code>)</p></li>
+<li><p><strong>num_before_skip</strong> – (int, optional): Number of residual layers in the
+interaction blocks before the skip connection. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">1</span></code>)</p></li>
+<li><p><strong>num_after_skip</strong> – (int, optional): Number of residual layers in the
+interaction blocks after the skip connection. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">2</span></code>)</p></li>
+<li><p><strong>num_output_layers</strong> – (int, optional): Number of linear layers for the
+output blocks. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">3</span></code>)</p></li>
+<li><p><strong>act</strong> – (function, optional): The activation funtion.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">silu</span></code>)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone.forward" title="Link to this definition">#</a></dt>
+<dd><p>Backbone forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>embedding</strong> – Return backbone embeddings for the given input</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            theme: "abcdef",
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+            path: "./autoapi/core/models/dimenet_plus_plus"
+        },
+        predefinedOutput: true
+    }
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+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.act"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf1"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_rbf1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf2"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_rbf2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf1"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_sbf1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf2"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_sbf2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_kj"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_kj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_ji"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_ji</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_down"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_down</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin_up"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin_up</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.layers_before_skip"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.layers_before_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.lin"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.lin</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.layers_after_skip"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.layers_after_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.InteractionPPBlock.forward"><code class="docutils literal notranslate"><span class="pre">InteractionPPBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.act"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.lin_rbf"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.lin_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.lin_up"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.lin_up</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.lins"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.lins</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.lin"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.lin</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.OutputPPBlock.forward"><code class="docutils literal notranslate"><span class="pre">OutputPPBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.url"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.url</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.cutoff"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.num_blocks"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.rbf"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.sbf"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.sbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.emb"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.output_blocks"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.output_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.interaction_blocks"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.interaction_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.reset_parameters"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.triplets"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlus.forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlus.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapEnergyAndForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.regress_forces"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapEnergyAndForceHead.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapEnergyAndForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.regress_forces"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.cutoff"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.otf_graph"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.max_neighbors"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap._forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap._forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.num_params"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrap.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone.forward"><code class="docutils literal notranslate"><span class="pre">DimeNetPlusPlusWrapBackbone.forward()</span></code></a></li>
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+    <h1>core.models.equiformer_v2.activation</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU.inplace"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.inplace</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU.extra_repr"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.in_channels"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.out_channels"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.out_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.w"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.w</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.act"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU"><code class="docutils literal notranslate"><span class="pre">SwiGLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.in_channels"><code class="docutils literal notranslate"><span class="pre">SwiGLU.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.out_channels"><code class="docutils literal notranslate"><span class="pre">SwiGLU.out_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.w"><code class="docutils literal notranslate"><span class="pre">SwiGLU.w</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.act"><code class="docutils literal notranslate"><span class="pre">SwiGLU.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.forward"><code class="docutils literal notranslate"><span class="pre">SwiGLU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU"><code class="docutils literal notranslate"><span class="pre">SmoothLeakyReLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU.alpha"><code class="docutils literal notranslate"><span class="pre">SmoothLeakyReLU.alpha</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU.forward"><code class="docutils literal notranslate"><span class="pre">SmoothLeakyReLU.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU.extra_repr"><code class="docutils literal notranslate"><span class="pre">SmoothLeakyReLU.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.act"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.extra_repr"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSigmoid"><code class="docutils literal notranslate"><span class="pre">ScaledSigmoid</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSigmoid.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSigmoid.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSigmoid.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSigmoid.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation"><code class="docutils literal notranslate"><span class="pre">GateActivation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.lmax"><code class="docutils literal notranslate"><span class="pre">GateActivation.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.mmax"><code class="docutils literal notranslate"><span class="pre">GateActivation.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.num_channels"><code class="docutils literal notranslate"><span class="pre">GateActivation.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.scalar_act"><code class="docutils literal notranslate"><span class="pre">GateActivation.scalar_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.gate_act"><code class="docutils literal notranslate"><span class="pre">GateActivation.gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.forward"><code class="docutils literal notranslate"><span class="pre">GateActivation.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation"><code class="docutils literal notranslate"><span class="pre">S2Activation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation.lmax"><code class="docutils literal notranslate"><span class="pre">S2Activation.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation.mmax"><code class="docutils literal notranslate"><span class="pre">S2Activation.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation.act"><code class="docutils literal notranslate"><span class="pre">S2Activation.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation.forward"><code class="docutils literal notranslate"><span class="pre">S2Activation.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.lmax"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.mmax"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.scalar_act"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.scalar_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.s2_act"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.forward"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.activation">
+<span id="core-models-equiformer-v2-activation"></span><h1>core.models.equiformer_v2.activation<a class="headerlink" href="#module-core.models.equiformer_v2.activation" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.activation.ScaledSiLU" title="core.models.equiformer_v2.activation.ScaledSiLU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.activation.ScaledSwiGLU" title="core.models.equiformer_v2.activation.ScaledSwiGLU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaledSwiGLU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.activation.SwiGLU" title="core.models.equiformer_v2.activation.SwiGLU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SwiGLU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU" title="core.models.equiformer_v2.activation.SmoothLeakyReLU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SmoothLeakyReLU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU" title="core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.activation.ScaledSigmoid" title="core.models.equiformer_v2.activation.ScaledSigmoid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaledSigmoid</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.activation.GateActivation" title="core.models.equiformer_v2.activation.GateActivation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GateActivation</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.activation.S2Activation" title="core.models.equiformer_v2.activation.S2Activation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">S2Activation</span></code></a></p></td>
+<td><p>Assume we only have one resolution</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.activation.SeparableS2Activation" title="core.models.equiformer_v2.activation.SeparableS2Activation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SeparableS2Activation</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSiLU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.activation.</span></span><span class="sig-name descname"><span class="pre">ScaledSiLU</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSiLU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSiLU.inplace">
+<span class="sig-name descname"><span class="pre">inplace</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSiLU.inplace" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSiLU.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1.6791767923989418</span></em><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSiLU.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSiLU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSiLU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSiLU.extra_repr">
+<span class="sig-name descname"><span class="pre">extra_repr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSiLU.extra_repr" title="Link to this definition">#</a></dt>
+<dd><p>Set the extra representation of the module.</p>
+<p>To print customized extra information, you should re-implement
+this method in your own modules. Both single-line and multi-line
+strings are acceptable.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSwiGLU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.activation.</span></span><span class="sig-name descname"><span class="pre">ScaledSwiGLU</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSwiGLU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSwiGLU.in_channels">
+<span class="sig-name descname"><span class="pre">in_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.in_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSwiGLU.out_channels">
+<span class="sig-name descname"><span class="pre">out_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.out_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSwiGLU.w">
+<span class="sig-name descname"><span class="pre">w</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.w" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSwiGLU.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSwiGLU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SwiGLU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.activation.</span></span><span class="sig-name descname"><span class="pre">SwiGLU</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.SwiGLU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SwiGLU.in_channels">
+<span class="sig-name descname"><span class="pre">in_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.SwiGLU.in_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SwiGLU.out_channels">
+<span class="sig-name descname"><span class="pre">out_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.SwiGLU.out_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SwiGLU.w">
+<span class="sig-name descname"><span class="pre">w</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.SwiGLU.w" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SwiGLU.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.SwiGLU.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SwiGLU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.SwiGLU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SmoothLeakyReLU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.activation.</span></span><span class="sig-name descname"><span class="pre">SmoothLeakyReLU</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">negative_slope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SmoothLeakyReLU.alpha">
+<span class="sig-name descname"><span class="pre">alpha</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU.alpha" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SmoothLeakyReLU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SmoothLeakyReLU.extra_repr">
+<span class="sig-name descname"><span class="pre">extra_repr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU.extra_repr" title="Link to this definition">#</a></dt>
+<dd><p>Set the extra representation of the module.</p>
+<p>To print customized extra information, you should re-implement
+this method in your own modules. Both single-line and multi-line
+strings are acceptable.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.activation.</span></span><span class="sig-name descname"><span class="pre">ScaledSmoothLeakyReLU</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1.531320475574866</span></em><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.extra_repr">
+<span class="sig-name descname"><span class="pre">extra_repr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.extra_repr" title="Link to this definition">#</a></dt>
+<dd><p>Set the extra representation of the module.</p>
+<p>To print customized extra information, you should re-implement
+this method in your own modules. Both single-line and multi-line
+strings are acceptable.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSigmoid">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.activation.</span></span><span class="sig-name descname"><span class="pre">ScaledSigmoid</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSigmoid" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSigmoid.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1.8467055342154763</span></em><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSigmoid.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.ScaledSigmoid.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.ScaledSigmoid.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.GateActivation">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.activation.</span></span><span class="sig-name descname"><span class="pre">GateActivation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.GateActivation" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.GateActivation.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.GateActivation.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.GateActivation.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.GateActivation.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.GateActivation.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.GateActivation.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.GateActivation.scalar_act">
+<span class="sig-name descname"><span class="pre">scalar_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.GateActivation.scalar_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.GateActivation.gate_act">
+<span class="sig-name descname"><span class="pre">gate_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.GateActivation.gate_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.GateActivation.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gating_scalars</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_tensors</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.GateActivation.forward" title="Link to this definition">#</a></dt>
+<dd><p><cite>gating_scalars</cite>: shape [N, lmax * num_channels]
+<cite>input_tensors</cite>: shape  [N, (lmax + 1) ** 2, num_channels]</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.S2Activation">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.activation.</span></span><span class="sig-name descname"><span class="pre">S2Activation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.S2Activation" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Assume we only have one resolution</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.S2Activation.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.S2Activation.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.S2Activation.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.S2Activation.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.S2Activation.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.S2Activation.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.S2Activation.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.S2Activation.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SeparableS2Activation">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.activation.</span></span><span class="sig-name descname"><span class="pre">SeparableS2Activation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.SeparableS2Activation" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SeparableS2Activation.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.SeparableS2Activation.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SeparableS2Activation.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.SeparableS2Activation.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SeparableS2Activation.scalar_act">
+<span class="sig-name descname"><span class="pre">scalar_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.SeparableS2Activation.scalar_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SeparableS2Activation.s2_act">
+<span class="sig-name descname"><span class="pre">s2_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.activation.SeparableS2Activation.s2_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.activation.SeparableS2Activation.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_scalars</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_tensors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.activation.SeparableS2Activation.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU.inplace"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.inplace</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSiLU.extra_repr"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.in_channels"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.out_channels"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.out_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.w"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.w</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.act"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSwiGLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSwiGLU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU"><code class="docutils literal notranslate"><span class="pre">SwiGLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.in_channels"><code class="docutils literal notranslate"><span class="pre">SwiGLU.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.out_channels"><code class="docutils literal notranslate"><span class="pre">SwiGLU.out_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.w"><code class="docutils literal notranslate"><span class="pre">SwiGLU.w</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.act"><code class="docutils literal notranslate"><span class="pre">SwiGLU.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SwiGLU.forward"><code class="docutils literal notranslate"><span class="pre">SwiGLU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU"><code class="docutils literal notranslate"><span class="pre">SmoothLeakyReLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU.alpha"><code class="docutils literal notranslate"><span class="pre">SmoothLeakyReLU.alpha</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU.forward"><code class="docutils literal notranslate"><span class="pre">SmoothLeakyReLU.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SmoothLeakyReLU.extra_repr"><code class="docutils literal notranslate"><span class="pre">SmoothLeakyReLU.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.act"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.extra_repr"><code class="docutils literal notranslate"><span class="pre">ScaledSmoothLeakyReLU.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSigmoid"><code class="docutils literal notranslate"><span class="pre">ScaledSigmoid</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSigmoid.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSigmoid.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.ScaledSigmoid.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSigmoid.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation"><code class="docutils literal notranslate"><span class="pre">GateActivation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.lmax"><code class="docutils literal notranslate"><span class="pre">GateActivation.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.mmax"><code class="docutils literal notranslate"><span class="pre">GateActivation.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.num_channels"><code class="docutils literal notranslate"><span class="pre">GateActivation.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.scalar_act"><code class="docutils literal notranslate"><span class="pre">GateActivation.scalar_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.gate_act"><code class="docutils literal notranslate"><span class="pre">GateActivation.gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.GateActivation.forward"><code class="docutils literal notranslate"><span class="pre">GateActivation.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation"><code class="docutils literal notranslate"><span class="pre">S2Activation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation.lmax"><code class="docutils literal notranslate"><span class="pre">S2Activation.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation.mmax"><code class="docutils literal notranslate"><span class="pre">S2Activation.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation.act"><code class="docutils literal notranslate"><span class="pre">S2Activation.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.S2Activation.forward"><code class="docutils literal notranslate"><span class="pre">S2Activation.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.lmax"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.mmax"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.scalar_act"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.scalar_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.s2_act"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.activation.SeparableS2Activation.forward"><code class="docutils literal notranslate"><span class="pre">SeparableS2Activation.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.equiformer_v2.drop</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.drop_path"><code class="docutils literal notranslate"><span class="pre">drop_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.DropPath"><code class="docutils literal notranslate"><span class="pre">DropPath</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.DropPath.drop_prob"><code class="docutils literal notranslate"><span class="pre">DropPath.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.DropPath.forward"><code class="docutils literal notranslate"><span class="pre">DropPath.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.DropPath.extra_repr"><code class="docutils literal notranslate"><span class="pre">DropPath.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.GraphDropPath"><code class="docutils literal notranslate"><span class="pre">GraphDropPath</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.GraphDropPath.drop_prob"><code class="docutils literal notranslate"><span class="pre">GraphDropPath.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.GraphDropPath.forward"><code class="docutils literal notranslate"><span class="pre">GraphDropPath.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.GraphDropPath.extra_repr"><code class="docutils literal notranslate"><span class="pre">GraphDropPath.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.irreps"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.irreps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.num_irreps"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.num_irreps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.drop_prob"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.drop"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.mul"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.mul</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.irreps"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout.irreps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.drop_prob"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.extra_repr"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_prob"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_graph"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.drop_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.extra_repr"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.extra_repr()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.drop">
+<span id="core-models-equiformer-v2-drop"></span><h1>core.models.equiformer_v2.drop<a class="headerlink" href="#module-core.models.equiformer_v2.drop" title="Link to this heading">#</a></h1>
+<p>Add <cite>extra_repr</cite> into DropPath implemented by timm
+for displaying more info.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.drop.DropPath" title="core.models.equiformer_v2.drop.DropPath"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DropPath</span></code></a></p></td>
+<td><p>Drop paths (Stochastic Depth) per sample  (when applied in main path of residual blocks).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.drop.GraphDropPath" title="core.models.equiformer_v2.drop.GraphDropPath"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GraphDropPath</span></code></a></p></td>
+<td><p>Consider batch for graph data when dropping paths.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.drop.EquivariantDropout" title="core.models.equiformer_v2.drop.EquivariantDropout"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquivariantDropout</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout" title="core.models.equiformer_v2.drop.EquivariantScalarsDropout"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquivariantScalarsDropout</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics" title="core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.drop.drop_path" title="core.models.equiformer_v2.drop.drop_path"><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop_path</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.drop_path">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.drop.</span></span><span class="sig-name descname"><span class="pre">drop_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.drop_path" title="Link to this definition">#</a></dt>
+<dd><p>Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
+This is the same as the DropConnect impl I created for EfficientNet, etc networks, however,
+the original name is misleading as ‘Drop Connect’ is a different form of dropout in a separate paper…
+See discussion: <a class="github reference external" href="https://github.com/tensorflow/tpu/issues/494#issuecomment-532968956">tensorflow/tpu#494</a> … I’ve opted for
+changing the layer and argument names to ‘drop path’ rather than mix DropConnect as a layer name and use
+‘survival rate’ as the argument.</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.DropPath">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.drop.</span></span><span class="sig-name descname"><span class="pre">DropPath</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">drop_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.drop.DropPath" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Drop paths (Stochastic Depth) per sample  (when applied in main path of residual blocks).</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.DropPath.drop_prob">
+<span class="sig-name descname"><span class="pre">drop_prob</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.DropPath.drop_prob" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.DropPath.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.DropPath.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.DropPath.extra_repr">
+<span class="sig-name descname"><span class="pre">extra_repr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.DropPath.extra_repr" title="Link to this definition">#</a></dt>
+<dd><p>Set the extra representation of the module.</p>
+<p>To print customized extra information, you should re-implement
+this method in your own modules. Both single-line and multi-line
+strings are acceptable.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.GraphDropPath">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.drop.</span></span><span class="sig-name descname"><span class="pre">GraphDropPath</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">drop_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.drop.GraphDropPath" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Consider batch for graph data when dropping paths.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.GraphDropPath.drop_prob">
+<span class="sig-name descname"><span class="pre">drop_prob</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.GraphDropPath.drop_prob" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.GraphDropPath.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.GraphDropPath.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.GraphDropPath.extra_repr">
+<span class="sig-name descname"><span class="pre">extra_repr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.GraphDropPath.extra_repr" title="Link to this definition">#</a></dt>
+<dd><p>Set the extra representation of the module.</p>
+<p>To print customized extra information, you should re-implement
+this method in your own modules. Both single-line and multi-line
+strings are acceptable.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropout">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.drop.</span></span><span class="sig-name descname"><span class="pre">EquivariantDropout</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">irreps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropout" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropout.irreps">
+<span class="sig-name descname"><span class="pre">irreps</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropout.irreps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropout.num_irreps">
+<span class="sig-name descname"><span class="pre">num_irreps</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropout.num_irreps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropout.drop_prob">
+<span class="sig-name descname"><span class="pre">drop_prob</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropout.drop_prob" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropout.drop">
+<span class="sig-name descname"><span class="pre">drop</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropout.drop" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropout.mul">
+<span class="sig-name descname"><span class="pre">mul</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropout.mul" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropout.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropout.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantScalarsDropout">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.drop.</span></span><span class="sig-name descname"><span class="pre">EquivariantScalarsDropout</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">irreps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantScalarsDropout.irreps">
+<span class="sig-name descname"><span class="pre">irreps</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.irreps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantScalarsDropout.drop_prob">
+<span class="sig-name descname"><span class="pre">drop_prob</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.drop_prob" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantScalarsDropout.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantScalarsDropout.extra_repr">
+<span class="sig-name descname"><span class="pre">extra_repr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.extra_repr" title="Link to this definition">#</a></dt>
+<dd><p>Set the extra representation of the module.</p>
+<p>To print customized extra information, you should re-implement
+this method in your own modules. Both single-line and multi-line
+strings are acceptable.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.drop.</span></span><span class="sig-name descname"><span class="pre">EquivariantDropoutArraySphericalHarmonics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">drop_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_prob">
+<span class="sig-name descname"><span class="pre">drop_prob</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_prob" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop">
+<span class="sig-name descname"><span class="pre">drop</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_graph">
+<span class="sig-name descname"><span class="pre">drop_graph</span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.extra_repr">
+<span class="sig-name descname"><span class="pre">extra_repr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.extra_repr" title="Link to this definition">#</a></dt>
+<dd><p>Set the extra representation of the module.</p>
+<p>To print customized extra information, you should re-implement
+this method in your own modules. Both single-line and multi-line
+strings are acceptable.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.drop_path"><code class="docutils literal notranslate"><span class="pre">drop_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.DropPath"><code class="docutils literal notranslate"><span class="pre">DropPath</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.DropPath.drop_prob"><code class="docutils literal notranslate"><span class="pre">DropPath.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.DropPath.forward"><code class="docutils literal notranslate"><span class="pre">DropPath.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.DropPath.extra_repr"><code class="docutils literal notranslate"><span class="pre">DropPath.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.GraphDropPath"><code class="docutils literal notranslate"><span class="pre">GraphDropPath</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.GraphDropPath.drop_prob"><code class="docutils literal notranslate"><span class="pre">GraphDropPath.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.GraphDropPath.forward"><code class="docutils literal notranslate"><span class="pre">GraphDropPath.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.GraphDropPath.extra_repr"><code class="docutils literal notranslate"><span class="pre">GraphDropPath.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.irreps"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.irreps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.num_irreps"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.num_irreps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.drop_prob"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.drop"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.mul"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.mul</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropout.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantDropout.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.irreps"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout.irreps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.drop_prob"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantScalarsDropout.extra_repr"><code class="docutils literal notranslate"><span class="pre">EquivariantScalarsDropout.extra_repr()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_prob"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.drop_prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_graph"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.drop_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.extra_repr"><code class="docutils literal notranslate"><span class="pre">EquivariantDropoutArraySphericalHarmonics.extra_repr()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+</ul>
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+    <h1>core.models.equiformer_v2.equiformer_v2</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2._AVG_NUM_NODES"><code class="docutils literal notranslate"><span class="pre">_AVG_NUM_NODES</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2._AVG_DEGREE"><code class="docutils literal notranslate"><span class="pre">_AVG_DEGREE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2ForceHead"><code class="docutils literal notranslate"><span class="pre">EquiformerV2ForceHead</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2EnergyHead"><code class="docutils literal notranslate"><span class="pre">EquiformerV2EnergyHead</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.regress_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.otf_graph"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_neighbors"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_radius"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.max_radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.cutoff"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_layers"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.attn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_heads"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_heads</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_alpha_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.attn_alpha_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_value_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.attn_value_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.ffn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm_type"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.norm_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.lmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grid_resolution"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.grid_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.share_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.share_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_m_share_rad"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_m_share_rad</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.distance_function"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_distance_basis"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_distance_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.attn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_s2_act_attn"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_s2_act_attn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_attn_renorm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_attn_renorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.ffn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_gate_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_grid_mlp"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_grid_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.alpha_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.alpha_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.drop_path_rate"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.drop_path_rate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.proj_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.proj_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_degree"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.avg_degree</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.load_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.load_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.weight_init"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.weight_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.device"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grad_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mappingReduced"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_grid"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_degree_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.edge_degree_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.blocks"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.forward"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_gp_partitions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone._init_gp_partitions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_params"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.no_weight_decay"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.no_weight_decay()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.equiformer_v2">
+<span id="core-models-equiformer-v2-equiformer-v2"></span><h1>core.models.equiformer_v2.equiformer_v2<a class="headerlink" href="#module-core.models.equiformer_v2.equiformer_v2" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2._AVG_NUM_NODES" title="core.models.equiformer_v2.equiformer_v2._AVG_NUM_NODES"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_AVG_NUM_NODES</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2._AVG_DEGREE" title="core.models.equiformer_v2.equiformer_v2._AVG_DEGREE"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_AVG_DEGREE</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2ForceHead" title="core.models.equiformer_v2.equiformer_v2.EquiformerV2ForceHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquiformerV2ForceHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2EnergyHead" title="core.models.equiformer_v2.equiformer_v2.EquiformerV2EnergyHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquiformerV2EnergyHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone" title="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquiformerV2Backbone</span></code></a></p></td>
+<td><p>Equiformer with graph attention built upon SO(2) convolution and feedforward network built upon S2 activation</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2._AVG_NUM_NODES">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2.</span></span><span class="sig-name descname"><span class="pre">_AVG_NUM_NODES</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">77.81317</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2._AVG_NUM_NODES" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2._AVG_DEGREE">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2.</span></span><span class="sig-name descname"><span class="pre">_AVG_DEGREE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">23.395238876342773</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2._AVG_DEGREE" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2ForceHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2.</span></span><span class="sig-name descname"><span class="pre">EquiformerV2ForceHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2ForceHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.equiformer_v2.heads.EqV2VectorHead</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2EnergyHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2.</span></span><span class="sig-name descname"><span class="pre">EquiformerV2EnergyHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduce</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sum'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2EnergyHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.equiformer_v2.heads.EqV2ScalarHead</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2.</span></span><span class="sig-name descname"><span class="pre">EquiformerV2Backbone</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">90</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_alpha_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_value_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rms_norm_sh'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grid_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">share_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_m_share_rad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_distance_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_s2_act_attn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_attn_renorm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gate_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_grid_mlp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_sep_s2_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_path_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proj_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'normal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_neighbors_strictly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_degree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy_lin_ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_energy_lin_ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation_checkpoint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>Equiformer with graph attention built upon SO(2) convolution and feedforward network built upon S2 activation</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Use periodic boundary conditions</p></li>
+<li><p><strong>use_pbc_single</strong> (<em>bool</em>) – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Compute forces</p></li>
+<li><p><strong>otf_graph</strong> (<em>bool</em>) – Compute graph On The Fly (OTF)</p></li>
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Maximum number of neighbors per atom</p></li>
+<li><p><strong>max_radius</strong> (<em>float</em>) – Maximum distance between nieghboring atoms in Angstroms</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum atomic number</p></li>
+<li><p><strong>num_layers</strong> (<em>int</em>) – Number of layers in the GNN</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels (one set per resolution)</p></li>
+<li><p><strong>attn_hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during SO(2) graph attention</p></li>
+<li><p><strong>num_heads</strong> (<em>int</em>) – Number of attention heads</p></li>
+<li><p><strong>attn_alpha_head</strong> (<em>int</em>) – Number of channels for alpha vector in each attention head</p></li>
+<li><p><strong>attn_value_head</strong> (<em>int</em>) – Number of channels for value vector in each attention head</p></li>
+<li><p><strong>ffn_hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during feedforward network</p></li>
+<li><p><strong>norm_type</strong> (<em>str</em>) – Type of normalization layer ([‘layer_norm’, ‘layer_norm_sh’, ‘rms_norm_sh’])</p></li>
+<li><p><strong>lmax_list</strong> (<em>int</em>) – List of maximum degree of the spherical harmonics (1 to 10)</p></li>
+<li><p><strong>mmax_list</strong> (<em>int</em>) – List of maximum order of the spherical harmonics (0 to lmax)</p></li>
+<li><p><strong>grid_resolution</strong> (<em>int</em>) – Resolution of SO3_Grid</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integration of the sphere in the output blocks</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Number of channels for the edge invariant features</p></li>
+<li><p><strong>use_atom_edge_embedding</strong> (<em>bool</em>) – Whether to use atomic embedding along with relative distance for edge scalar features</p></li>
+<li><p><strong>share_atom_edge_embedding</strong> (<em>bool</em>) – Whether to share <cite>atom_edge_embedding</cite> across all blocks</p></li>
+<li><p><strong>use_m_share_rad</strong> (<em>bool</em>) – Whether all m components within a type-L vector of one channel share radial function weights</p></li>
+<li><p><strong>distance_function</strong> (<em>&quot;gaussian&quot;</em><em>, </em><em>&quot;sigmoid&quot;</em><em>, </em><em>&quot;linearsigmoid&quot;</em><em>, </em><em>&quot;silu&quot;</em>) – Basis function used for distances</p></li>
+<li><p><strong>attn_activation</strong> (<em>str</em>) – Type of activation function for SO(2) graph attention</p></li>
+<li><p><strong>use_s2_act_attn</strong> (<em>bool</em>) – Whether to use attention after S2 activation. Otherwise, use the same attention as Equiformer</p></li>
+<li><p><strong>use_attn_renorm</strong> (<em>bool</em>) – Whether to re-normalize attention weights</p></li>
+<li><p><strong>ffn_activation</strong> (<em>str</em>) – Type of activation function for feedforward network</p></li>
+<li><p><strong>use_gate_act</strong> (<em>bool</em>) – If <cite>True</cite>, use gate activation. Otherwise, use S2 activation</p></li>
+<li><p><strong>use_grid_mlp</strong> (<em>bool</em>) – If <cite>True</cite>, use projecting to grids and performing MLPs for FFNs.</p></li>
+<li><p><strong>use_sep_s2_act</strong> (<em>bool</em>) – If <cite>True</cite>, use separable S2 activation when <cite>use_gate_act</cite> is False.</p></li>
+<li><p><strong>alpha_drop</strong> (<em>float</em>) – Dropout rate for attention weights</p></li>
+<li><p><strong>drop_path_rate</strong> (<em>float</em>) – Drop path rate</p></li>
+<li><p><strong>proj_drop</strong> (<em>float</em>) – Dropout rate for outputs of attention and FFN in Transformer blocks</p></li>
+<li><p><strong>weight_init</strong> (<em>str</em>) – [‘normal’, ‘uniform’] initialization of weights of linear layers except those in radial functions</p></li>
+<li><p><strong>enforce_max_neighbors_strictly</strong> (<em>bool</em>) – When edges are subselected based on the <cite>max_neighbors</cite> arg, arbitrarily select amongst equidistant / degenerate edges to have exactly the correct number.</p></li>
+<li><p><strong>avg_num_nodes</strong> (<em>float</em>) – Average number of nodes per graph</p></li>
+<li><p><strong>avg_degree</strong> (<em>float</em>) – Average degree of nodes in the graph</p></li>
+<li><p><strong>use_energy_lin_ref</strong> (<em>bool</em>) – Whether to add the per-atom energy references during prediction.
+During training and validation, this should be kept <cite>False</cite> since we use the <cite>lin_ref</cite> parameter in the OC22 dataloader to subtract the per-atom linear references from the energy targets.
+During prediction (where we don’t have energy targets), this can be set to <cite>True</cite> to add the per-atom linear references to the predicted energies.</p></li>
+<li><p><strong>load_energy_lin_ref</strong> (<em>bool</em>) – Whether to add nn.Parameters for the per-element energy references.
+This additional flag is there to ensure compatibility when strict-loading checkpoints, since the <cite>use_energy_lin_ref</cite> flag can be either True or False even if the model is trained with linear references.
+You can’t have use_energy_lin_ref = True and load_energy_lin_ref = False, since the model will not have the parameters for the linear references. All other combinations are fine.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.activation_checkpoint">
+<span class="sig-name descname"><span class="pre">activation_checkpoint</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.activation_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_radius">
+<span class="sig-name descname"><span class="pre">max_radius</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_radius" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_layers">
+<span class="sig-name descname"><span class="pre">num_layers</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_hidden_channels">
+<span class="sig-name descname"><span class="pre">attn_hidden_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_heads">
+<span class="sig-name descname"><span class="pre">num_heads</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_heads" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_alpha_channels">
+<span class="sig-name descname"><span class="pre">attn_alpha_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_alpha_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_value_channels">
+<span class="sig-name descname"><span class="pre">attn_value_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_value_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_hidden_channels">
+<span class="sig-name descname"><span class="pre">ffn_hidden_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm_type">
+<span class="sig-name descname"><span class="pre">norm_type</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm_type" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grid_resolution">
+<span class="sig-name descname"><span class="pre">grid_resolution</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grid_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_atom_edge_embedding">
+<span class="sig-name descname"><span class="pre">use_atom_edge_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_atom_edge_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.share_atom_edge_embedding">
+<span class="sig-name descname"><span class="pre">share_atom_edge_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.share_atom_edge_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_m_share_rad">
+<span class="sig-name descname"><span class="pre">use_m_share_rad</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_m_share_rad" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.distance_function">
+<span class="sig-name descname"><span class="pre">distance_function</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.distance_function" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_distance_basis">
+<span class="sig-name descname"><span class="pre">num_distance_basis</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_distance_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_activation">
+<span class="sig-name descname"><span class="pre">attn_activation</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_s2_act_attn">
+<span class="sig-name descname"><span class="pre">use_s2_act_attn</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_s2_act_attn" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_attn_renorm">
+<span class="sig-name descname"><span class="pre">use_attn_renorm</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_attn_renorm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_activation">
+<span class="sig-name descname"><span class="pre">ffn_activation</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_gate_act">
+<span class="sig-name descname"><span class="pre">use_gate_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_gate_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_grid_mlp">
+<span class="sig-name descname"><span class="pre">use_grid_mlp</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_grid_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_sep_s2_act">
+<span class="sig-name descname"><span class="pre">use_sep_s2_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_sep_s2_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.alpha_drop">
+<span class="sig-name descname"><span class="pre">alpha_drop</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.alpha_drop" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.drop_path_rate">
+<span class="sig-name descname"><span class="pre">drop_path_rate</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.drop_path_rate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.proj_drop">
+<span class="sig-name descname"><span class="pre">proj_drop</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.proj_drop" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_num_nodes">
+<span class="sig-name descname"><span class="pre">avg_num_nodes</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_num_nodes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_degree">
+<span class="sig-name descname"><span class="pre">avg_degree</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_degree" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_energy_lin_ref">
+<span class="sig-name descname"><span class="pre">use_energy_lin_ref</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_energy_lin_ref" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.load_energy_lin_ref">
+<span class="sig-name descname"><span class="pre">load_energy_lin_ref</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.load_energy_lin_ref" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.weight_init">
+<span class="sig-name descname"><span class="pre">weight_init</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.weight_init" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.enforce_max_neighbors_strictly">
+<span class="sig-name descname"><span class="pre">enforce_max_neighbors_strictly</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.enforce_max_neighbors_strictly" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.device">
+<span class="sig-name descname"><span class="pre">device</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'cpu'</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grad_forces">
+<span class="sig-name descname"><span class="pre">grad_forces</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grad_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels_all">
+<span class="sig-name descname"><span class="pre">sphere_channels_all</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels_all" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_embedding">
+<span class="sig-name descname"><span class="pre">sphere_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels_list">
+<span class="sig-name descname"><span class="pre">edge_channels_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_rotation">
+<span class="sig-name descname"><span class="pre">SO3_rotation</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_rotation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mappingReduced">
+<span class="sig-name descname"><span class="pre">mappingReduced</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mappingReduced" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_degree_embedding">
+<span class="sig-name descname"><span class="pre">edge_degree_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_degree_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.blocks">
+<span class="sig-name descname"><span class="pre">blocks</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm">
+<span class="sig-name descname"><span class="pre">norm</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_gp_partitions">
+<span class="sig-name descname"><span class="pre">_init_gp_partitions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atomic_numbers_full</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_batch_full</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_gp_partitions" title="Link to this definition">#</a></dt>
+<dd><p>Graph Parallel
+This creates the required partial tensors for each rank given the full tensors.
+The tensors are split on the dimension along the node index using node_partition.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_edge_rot_mat">
+<span class="sig-name descname"><span class="pre">_init_edge_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_edge_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.no_weight_decay">
+<span class="sig-name descname"><span class="pre">no_weight_decay</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">set</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.no_weight_decay" title="Link to this definition">#</a></dt>
+<dd><p>Returns a list of parameters with no weight decay.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
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+        },
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+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2._AVG_NUM_NODES"><code class="docutils literal notranslate"><span class="pre">_AVG_NUM_NODES</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2._AVG_DEGREE"><code class="docutils literal notranslate"><span class="pre">_AVG_DEGREE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2ForceHead"><code class="docutils literal notranslate"><span class="pre">EquiformerV2ForceHead</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2EnergyHead"><code class="docutils literal notranslate"><span class="pre">EquiformerV2EnergyHead</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.regress_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.otf_graph"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_neighbors"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_radius"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.max_radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.cutoff"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_layers"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.attn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_heads"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_heads</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_alpha_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.attn_alpha_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_value_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.attn_value_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.ffn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm_type"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.norm_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.lmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grid_resolution"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.grid_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.share_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.share_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_m_share_rad"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_m_share_rad</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.distance_function"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_distance_basis"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_distance_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.attn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_s2_act_attn"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_s2_act_attn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_attn_renorm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_attn_renorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.ffn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_gate_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_grid_mlp"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_grid_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.alpha_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.alpha_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.drop_path_rate"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.drop_path_rate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.proj_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.proj_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_degree"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.avg_degree</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.use_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.load_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.load_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.weight_init"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.weight_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.device"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grad_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mappingReduced"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_grid"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_degree_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.edge_degree_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.blocks"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.forward"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_gp_partitions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone._init_gp_partitions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_params"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.no_weight_decay"><code class="docutils literal notranslate"><span class="pre">EquiformerV2Backbone.no_weight_decay()</span></code></a></li>
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+    <h1>core.models.equiformer_v2.equiformer_v2_dens</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_force_encoding"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.use_force_encoding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_noise_schedule_sigma_encoding"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.use_noise_schedule_sigma_encoding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.irreps_sh"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.irreps_sh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.force_embedding"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.force_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.forward"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.reduce"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.scalar_block"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.scalar_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.output_name"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.use_denoising"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.use_denoising</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.forward"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.output_name"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.vector_block"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.vector_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.denoising_pos_block"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.denoising_pos_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.forward"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.ouput_name"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.ouput_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.sphharm_norm"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.xedge_layer_norm"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.block"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.use_denoising"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.use_denoising</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.forward"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.equiformer_v2_dens">
+<span id="core-models-equiformer-v2-equiformer-v2-dens"></span><h1>core.models.equiformer_v2.equiformer_v2_dens<a class="headerlink" href="#module-core.models.equiformer_v2.equiformer_v2_dens" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone" title="core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EqV2DeNSBackbone</span></code></a></p></td>
+<td><p>DeNS extra Args:</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead" title="core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DeNSScalarHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead" title="core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DeNSVectorHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head" title="core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DeNSRank2Head</span></code></a></p></td>
+<td><p>A rank 2 symmetric tensor prediction head.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2_dens.</span></span><span class="sig-name descname"><span class="pre">EqV2DeNSBackbone</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">90</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_alpha_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_value_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rms_norm_sh'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grid_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">share_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_m_share_rad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_distance_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_s2_act_attn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_attn_renorm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gate_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_grid_mlp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_sep_s2_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_path_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proj_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'normal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_neighbors_strictly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_degree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy_lin_ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_energy_lin_ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation_checkpoint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_force_encoding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_noise_schedule_sigma_encoding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone</span></code></p>
+<dl>
+<dt>DeNS extra Args:</dt><dd><p>use_force_encoding (bool):                  For ablation study, whether to encode forces during denoising positions. Default: True.
+use_noise_schedule_sigma_encoding (bool):   For ablation study, whether to encode the sigma (sampled std of Gaussian noises) during</p>
+<blockquote>
+<div><p>denoising positions when <cite>fixed_noise_std</cite> = False in config files. Default: False.</p>
+</div></blockquote>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_force_encoding">
+<span class="sig-name descname"><span class="pre">use_force_encoding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_force_encoding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_noise_schedule_sigma_encoding">
+<span class="sig-name descname"><span class="pre">use_noise_schedule_sigma_encoding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_noise_schedule_sigma_encoding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.irreps_sh">
+<span class="sig-name descname"><span class="pre">irreps_sh</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.irreps_sh" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.force_embedding">
+<span class="sig-name descname"><span class="pre">force_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.force_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2_dens.</span></span><span class="sig-name descname"><span class="pre">DeNSScalarHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.base.BackboneInterface</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'energy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduce</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Literal</span><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sum'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_denoising</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.reduce">
+<span class="sig-name descname"><span class="pre">reduce</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.avg_num_nodes">
+<span class="sig-name descname"><span class="pre">avg_num_nodes</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.avg_num_nodes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.scalar_block">
+<span class="sig-name descname"><span class="pre">scalar_block</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.scalar_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.output_name">
+<span class="sig-name descname"><span class="pre">output_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.output_name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.use_denoising">
+<span class="sig-name descname"><span class="pre">use_denoising</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.use_denoising" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">fairchem.core.models.base.GraphData</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2_dens.</span></span><span class="sig-name descname"><span class="pre">DeNSVectorHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.base.BackboneInterface</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'forces'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.output_name">
+<span class="sig-name descname"><span class="pre">output_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.output_name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.activation_checkpoint">
+<span class="sig-name descname"><span class="pre">activation_checkpoint</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.activation_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.vector_block">
+<span class="sig-name descname"><span class="pre">vector_block</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.vector_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.denoising_pos_block">
+<span class="sig-name descname"><span class="pre">denoising_pos_block</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.denoising_pos_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2_dens.</span></span><span class="sig-name descname"><span class="pre">DeNSRank2Head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.base.BackboneInterface</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_denoising</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead</span></code></p>
+<p>A rank 2 symmetric tensor prediction head.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.ouput_name">
+<span class="sig-name descname"><span class="pre">ouput_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.ouput_name" title="Link to this definition">#</a></dt>
+<dd><p>name of output prediction property (ie, stress)</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.sphharm_norm">
+<span class="sig-name descname"><span class="pre">sphharm_norm</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.sphharm_norm" title="Link to this definition">#</a></dt>
+<dd><p>layer normalization for spherical harmonic edge weights</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.xedge_layer_norm">
+<span class="sig-name descname"><span class="pre">xedge_layer_norm</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.xedge_layer_norm" title="Link to this definition">#</a></dt>
+<dd><p>embedding layer norm</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.block">
+<span class="sig-name descname"><span class="pre">block</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.block" title="Link to this definition">#</a></dt>
+<dd><p>rank 2 equivariant symmetric tensor block</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.use_denoising">
+<span class="sig-name descname"><span class="pre">use_denoising</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.use_denoising" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> – data batch</p></li>
+<li><p><strong>emb</strong> – dictionary with embedding object and graph data</p></li>
+</ul>
+</dd>
+</dl>
+<p>Returns: dict of {output property name: predicted value}</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+    }
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+
+                </article>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_force_encoding"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.use_force_encoding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_noise_schedule_sigma_encoding"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.use_noise_schedule_sigma_encoding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.irreps_sh"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.irreps_sh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.force_embedding"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.force_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.forward"><code class="docutils literal notranslate"><span class="pre">EqV2DeNSBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.reduce"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.scalar_block"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.scalar_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.output_name"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.use_denoising"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.use_denoising</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.forward"><code class="docutils literal notranslate"><span class="pre">DeNSScalarHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.output_name"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.vector_block"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.vector_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.denoising_pos_block"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.denoising_pos_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.forward"><code class="docutils literal notranslate"><span class="pre">DeNSVectorHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.ouput_name"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.ouput_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.sphharm_norm"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.xedge_layer_norm"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.block"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.use_denoising"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.use_denoising</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.forward"><code class="docutils literal notranslate"><span class="pre">DeNSRank2Head.forward()</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_NUM_NODES"><code class="docutils literal notranslate"><span class="pre">_AVG_NUM_NODES</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_DEGREE"><code class="docutils literal notranslate"><span class="pre">_AVG_DEGREE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2"><code class="docutils literal notranslate"><span class="pre">EquiformerV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.regress_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.otf_graph"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_neighbors"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_radius"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.cutoff"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_layers"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_heads"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_heads</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_alpha_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_alpha_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_value_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_value_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.ffn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.norm_type"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.norm_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.lmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grid_resolution"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.grid_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.share_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.share_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_m_share_rad"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_m_share_rad</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.distance_function"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_distance_basis"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_distance_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_s2_act_attn"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_s2_act_attn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_attn_renorm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_attn_renorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.ffn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_gate_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_grid_mlp"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_grid_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.alpha_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.alpha_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.drop_path_rate"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.drop_path_rate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.proj_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.proj_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_degree"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.avg_degree</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.load_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.load_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.weight_init"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.weight_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.device"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grad_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mappingReduced"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_grid"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_degree_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_degree_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.blocks"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.norm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.energy_block"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_gp_partitions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._init_gp_partitions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.forward"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_params"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_weights"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._init_weights()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._uniform_init_rad_func_linear_weights"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._uniform_init_rad_func_linear_weights()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._uniform_init_linear_weights"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._uniform_init_linear_weights()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.no_weight_decay"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.no_weight_decay()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.equiformer_v2_deprecated">
+<span id="core-models-equiformer-v2-equiformer-v2-deprecated"></span><h1>core.models.equiformer_v2.equiformer_v2_deprecated<a class="headerlink" href="#module-core.models.equiformer_v2.equiformer_v2_deprecated" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_NUM_NODES" title="core.models.equiformer_v2.equiformer_v2_deprecated._AVG_NUM_NODES"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_AVG_NUM_NODES</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_DEGREE" title="core.models.equiformer_v2.equiformer_v2_deprecated._AVG_DEGREE"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_AVG_DEGREE</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2" title="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquiformerV2</span></code></a></p></td>
+<td><p>THIS CLASS HAS BEEN DEPRECATED! Please use &quot;EquiformerV2BackboneAndHeads&quot;</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated._AVG_NUM_NODES">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2_deprecated.</span></span><span class="sig-name descname"><span class="pre">_AVG_NUM_NODES</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">77.81317</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_NUM_NODES" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated._AVG_DEGREE">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2_deprecated.</span></span><span class="sig-name descname"><span class="pre">_AVG_DEGREE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">23.395238876342773</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_DEGREE" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.equiformer_v2_deprecated.</span></span><span class="sig-name descname"><span class="pre">EquiformerV2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">90</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_alpha_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_value_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rms_norm_sh'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grid_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">share_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_m_share_rad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_distance_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_s2_act_attn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_attn_renorm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gate_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_grid_mlp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_sep_s2_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_path_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proj_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'normal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_neighbors_strictly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_degree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy_lin_ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_energy_lin_ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>THIS CLASS HAS BEEN DEPRECATED! Please use “EquiformerV2BackboneAndHeads”</p>
+<p>Equiformer with graph attention built upon SO(2) convolution and feedforward network built upon S2 activation</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Use periodic boundary conditions</p></li>
+<li><p><strong>use_pbc_single</strong> (<em>bool</em>) – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Compute forces</p></li>
+<li><p><strong>otf_graph</strong> (<em>bool</em>) – Compute graph On The Fly (OTF)</p></li>
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Maximum number of neighbors per atom</p></li>
+<li><p><strong>max_radius</strong> (<em>float</em>) – Maximum distance between nieghboring atoms in Angstroms</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum atomic number</p></li>
+<li><p><strong>num_layers</strong> (<em>int</em>) – Number of layers in the GNN</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels (one set per resolution)</p></li>
+<li><p><strong>attn_hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during SO(2) graph attention</p></li>
+<li><p><strong>num_heads</strong> (<em>int</em>) – Number of attention heads</p></li>
+<li><p><strong>attn_alpha_head</strong> (<em>int</em>) – Number of channels for alpha vector in each attention head</p></li>
+<li><p><strong>attn_value_head</strong> (<em>int</em>) – Number of channels for value vector in each attention head</p></li>
+<li><p><strong>ffn_hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during feedforward network</p></li>
+<li><p><strong>norm_type</strong> (<em>str</em>) – Type of normalization layer ([‘layer_norm’, ‘layer_norm_sh’, ‘rms_norm_sh’])</p></li>
+<li><p><strong>lmax_list</strong> (<em>int</em>) – List of maximum degree of the spherical harmonics (1 to 10)</p></li>
+<li><p><strong>mmax_list</strong> (<em>int</em>) – List of maximum order of the spherical harmonics (0 to lmax)</p></li>
+<li><p><strong>grid_resolution</strong> (<em>int</em>) – Resolution of SO3_Grid</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integration of the sphere in the output blocks</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Number of channels for the edge invariant features</p></li>
+<li><p><strong>use_atom_edge_embedding</strong> (<em>bool</em>) – Whether to use atomic embedding along with relative distance for edge scalar features</p></li>
+<li><p><strong>share_atom_edge_embedding</strong> (<em>bool</em>) – Whether to share <cite>atom_edge_embedding</cite> across all blocks</p></li>
+<li><p><strong>use_m_share_rad</strong> (<em>bool</em>) – Whether all m components within a type-L vector of one channel share radial function weights</p></li>
+<li><p><strong>distance_function</strong> (<em>&quot;gaussian&quot;</em><em>, </em><em>&quot;sigmoid&quot;</em><em>, </em><em>&quot;linearsigmoid&quot;</em><em>, </em><em>&quot;silu&quot;</em>) – Basis function used for distances</p></li>
+<li><p><strong>attn_activation</strong> (<em>str</em>) – Type of activation function for SO(2) graph attention</p></li>
+<li><p><strong>use_s2_act_attn</strong> (<em>bool</em>) – Whether to use attention after S2 activation. Otherwise, use the same attention as Equiformer</p></li>
+<li><p><strong>use_attn_renorm</strong> (<em>bool</em>) – Whether to re-normalize attention weights</p></li>
+<li><p><strong>ffn_activation</strong> (<em>str</em>) – Type of activation function for feedforward network</p></li>
+<li><p><strong>use_gate_act</strong> (<em>bool</em>) – If <cite>True</cite>, use gate activation. Otherwise, use S2 activation</p></li>
+<li><p><strong>use_grid_mlp</strong> (<em>bool</em>) – If <cite>True</cite>, use projecting to grids and performing MLPs for FFNs.</p></li>
+<li><p><strong>use_sep_s2_act</strong> (<em>bool</em>) – If <cite>True</cite>, use separable S2 activation when <cite>use_gate_act</cite> is False.</p></li>
+<li><p><strong>alpha_drop</strong> (<em>float</em>) – Dropout rate for attention weights</p></li>
+<li><p><strong>drop_path_rate</strong> (<em>float</em>) – Drop path rate</p></li>
+<li><p><strong>proj_drop</strong> (<em>float</em>) – Dropout rate for outputs of attention and FFN in Transformer blocks</p></li>
+<li><p><strong>weight_init</strong> (<em>str</em>) – [‘normal’, ‘uniform’] initialization of weights of linear layers except those in radial functions</p></li>
+<li><p><strong>enforce_max_neighbors_strictly</strong> (<em>bool</em>) – When edges are subselected based on the <cite>max_neighbors</cite> arg, arbitrarily select amongst equidistant / degenerate edges to have exactly the correct number.</p></li>
+<li><p><strong>avg_num_nodes</strong> (<em>float</em>) – Average number of nodes per graph</p></li>
+<li><p><strong>avg_degree</strong> (<em>float</em>) – Average degree of nodes in the graph</p></li>
+<li><p><strong>use_energy_lin_ref</strong> (<em>bool</em>) – Whether to add the per-atom energy references during prediction.
+During training and validation, this should be kept <cite>False</cite> since we use the <cite>lin_ref</cite> parameter in the OC22 dataloader to subtract the per-atom linear references from the energy targets.
+During prediction (where we don’t have energy targets), this can be set to <cite>True</cite> to add the per-atom linear references to the predicted energies.</p></li>
+<li><p><strong>load_energy_lin_ref</strong> (<em>bool</em>) – Whether to add nn.Parameters for the per-element energy references.
+This additional flag is there to ensure compatibility when strict-loading checkpoints, since the <cite>use_energy_lin_ref</cite> flag can be either True or False even if the model is trained with linear references.
+You can’t have use_energy_lin_ref = True and load_energy_lin_ref = False, since the model will not have the parameters for the linear references. All other combinations are fine.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_radius">
+<span class="sig-name descname"><span class="pre">max_radius</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_radius" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_layers">
+<span class="sig-name descname"><span class="pre">num_layers</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_hidden_channels">
+<span class="sig-name descname"><span class="pre">attn_hidden_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_heads">
+<span class="sig-name descname"><span class="pre">num_heads</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_heads" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_alpha_channels">
+<span class="sig-name descname"><span class="pre">attn_alpha_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_alpha_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_value_channels">
+<span class="sig-name descname"><span class="pre">attn_value_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_value_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_hidden_channels">
+<span class="sig-name descname"><span class="pre">ffn_hidden_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.norm_type">
+<span class="sig-name descname"><span class="pre">norm_type</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.norm_type" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grid_resolution">
+<span class="sig-name descname"><span class="pre">grid_resolution</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grid_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_atom_edge_embedding">
+<span class="sig-name descname"><span class="pre">use_atom_edge_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_atom_edge_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.share_atom_edge_embedding">
+<span class="sig-name descname"><span class="pre">share_atom_edge_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.share_atom_edge_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_m_share_rad">
+<span class="sig-name descname"><span class="pre">use_m_share_rad</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_m_share_rad" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.distance_function">
+<span class="sig-name descname"><span class="pre">distance_function</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.distance_function" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_distance_basis">
+<span class="sig-name descname"><span class="pre">num_distance_basis</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_distance_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_activation">
+<span class="sig-name descname"><span class="pre">attn_activation</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_s2_act_attn">
+<span class="sig-name descname"><span class="pre">use_s2_act_attn</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_s2_act_attn" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_attn_renorm">
+<span class="sig-name descname"><span class="pre">use_attn_renorm</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_attn_renorm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_activation">
+<span class="sig-name descname"><span class="pre">ffn_activation</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_gate_act">
+<span class="sig-name descname"><span class="pre">use_gate_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_gate_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_grid_mlp">
+<span class="sig-name descname"><span class="pre">use_grid_mlp</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_grid_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_sep_s2_act">
+<span class="sig-name descname"><span class="pre">use_sep_s2_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_sep_s2_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.alpha_drop">
+<span class="sig-name descname"><span class="pre">alpha_drop</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.alpha_drop" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.drop_path_rate">
+<span class="sig-name descname"><span class="pre">drop_path_rate</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.drop_path_rate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.proj_drop">
+<span class="sig-name descname"><span class="pre">proj_drop</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.proj_drop" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_num_nodes">
+<span class="sig-name descname"><span class="pre">avg_num_nodes</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_num_nodes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_degree">
+<span class="sig-name descname"><span class="pre">avg_degree</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_degree" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_energy_lin_ref">
+<span class="sig-name descname"><span class="pre">use_energy_lin_ref</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_energy_lin_ref" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.load_energy_lin_ref">
+<span class="sig-name descname"><span class="pre">load_energy_lin_ref</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.load_energy_lin_ref" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.weight_init">
+<span class="sig-name descname"><span class="pre">weight_init</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.weight_init" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.enforce_max_neighbors_strictly">
+<span class="sig-name descname"><span class="pre">enforce_max_neighbors_strictly</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.enforce_max_neighbors_strictly" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.device">
+<span class="sig-name descname"><span class="pre">device</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'cpu'</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grad_forces">
+<span class="sig-name descname"><span class="pre">grad_forces</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grad_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels_all">
+<span class="sig-name descname"><span class="pre">sphere_channels_all</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels_all" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_embedding">
+<span class="sig-name descname"><span class="pre">sphere_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels_list">
+<span class="sig-name descname"><span class="pre">edge_channels_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_rotation">
+<span class="sig-name descname"><span class="pre">SO3_rotation</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_rotation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mappingReduced">
+<span class="sig-name descname"><span class="pre">mappingReduced</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mappingReduced" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_degree_embedding">
+<span class="sig-name descname"><span class="pre">edge_degree_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_degree_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.blocks">
+<span class="sig-name descname"><span class="pre">blocks</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.norm">
+<span class="sig-name descname"><span class="pre">norm</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.norm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.energy_block">
+<span class="sig-name descname"><span class="pre">energy_block</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.energy_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_gp_partitions">
+<span class="sig-name descname"><span class="pre">_init_gp_partitions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atomic_numbers_full</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_batch_full</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_gp_partitions" title="Link to this definition">#</a></dt>
+<dd><p>Graph Parallel
+This creates the required partial tensors for each rank given the full tensors.
+The tensors are split on the dimension along the node index using node_partition.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_edge_rot_mat">
+<span class="sig-name descname"><span class="pre">_init_edge_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_edge_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_weights">
+<span class="sig-name descname"><span class="pre">_init_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._uniform_init_rad_func_linear_weights">
+<span class="sig-name descname"><span class="pre">_uniform_init_rad_func_linear_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._uniform_init_rad_func_linear_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._uniform_init_linear_weights">
+<span class="sig-name descname"><span class="pre">_uniform_init_linear_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._uniform_init_linear_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.no_weight_decay">
+<span class="sig-name descname"><span class="pre">no_weight_decay</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">set</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.no_weight_decay" title="Link to this definition">#</a></dt>
+<dd><p>Returns a list of parameters with no weight decay.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/models/equiformer_v2/equiformer_v2_deprecated"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
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+        <p class="prev-next-title">core.models.equiformer_v2.equiformer_v2_dens</p>
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+    </a>
+    <a class="right-next"
+       href="../eqv2_to_eqv2_hydra/index.html"
+       title="next page">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_NUM_NODES"><code class="docutils literal notranslate"><span class="pre">_AVG_NUM_NODES</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_DEGREE"><code class="docutils literal notranslate"><span class="pre">_AVG_DEGREE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2"><code class="docutils literal notranslate"><span class="pre">EquiformerV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.regress_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.otf_graph"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_neighbors"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_radius"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.cutoff"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_layers"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_heads"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_heads</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_alpha_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_alpha_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_value_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_value_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.ffn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.norm_type"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.norm_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.lmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grid_resolution"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.grid_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.share_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.share_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_m_share_rad"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_m_share_rad</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.distance_function"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_distance_basis"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_distance_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_s2_act_attn"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_s2_act_attn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_attn_renorm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_attn_renorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.ffn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_gate_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_grid_mlp"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_grid_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.alpha_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.alpha_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.drop_path_rate"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.drop_path_rate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.proj_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.proj_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_degree"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.avg_degree</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.load_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.load_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.weight_init"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.weight_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.device"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grad_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mappingReduced"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_grid"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_degree_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_degree_embedding</span></code></a></li>
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+    <h1>core.models.equiformer_v2.eqv2_to_eqv2_hydra</h1>
+    <!-- Table of contents -->
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.eqv2_to_eqv2_hydra.convert_checkpoint_and_config_to_hydra"><code class="docutils literal notranslate"><span class="pre">convert_checkpoint_and_config_to_hydra()</span></code></a></li>
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+  <section id="module-core.models.equiformer_v2.eqv2_to_eqv2_hydra">
+<span id="core-models-equiformer-v2-eqv2-to-eqv2-hydra"></span><h1>core.models.equiformer_v2.eqv2_to_eqv2_hydra<a class="headerlink" href="#module-core.models.equiformer_v2.eqv2_to_eqv2_hydra" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.eqv2_to_eqv2_hydra.convert_checkpoint_and_config_to_hydra" title="core.models.equiformer_v2.eqv2_to_eqv2_hydra.convert_checkpoint_and_config_to_hydra"><code class="xref py py-obj docutils literal notranslate"><span class="pre">convert_checkpoint_and_config_to_hydra</span></code></a>(yaml_fn, ...)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.eqv2_to_eqv2_hydra.convert_checkpoint_and_config_to_hydra">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.eqv2_to_eqv2_hydra.</span></span><span class="sig-name descname"><span class="pre">convert_checkpoint_and_config_to_hydra</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">yaml_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_yaml_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_checkpoint_fn</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.eqv2_to_eqv2_hydra.convert_checkpoint_and_config_to_hydra" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
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+    <h1>core.models.equiformer_v2.gaussian_rbf</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.gaussian"><code class="docutils literal notranslate"><span class="pre">gaussian()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.num_basis"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.num_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.cutoff"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.mean</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.std</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.weight"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.weight</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.bias"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.bias</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_max"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.std_init_max</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_min"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.std_init_min</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_max"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.mean_init_max</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_min"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.mean_init_min</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.forward"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.extra_repr"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.extra_repr()</span></code></a></li>
+</ul>
+</li>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.gaussian_rbf">
+<span id="core-models-equiformer-v2-gaussian-rbf"></span><h1>core.models.equiformer_v2.gaussian_rbf<a class="headerlink" href="#module-core.models.equiformer_v2.gaussian_rbf" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer" title="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.gaussian_rbf.gaussian" title="core.models.equiformer_v2.gaussian_rbf.gaussian"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gaussian</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.gaussian">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.gaussian_rbf.</span></span><span class="sig-name descname"><span class="pre">gaussian</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.gaussian" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.gaussian_rbf.</span></span><span class="sig-name descname"><span class="pre">GaussianRadialBasisLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.num_basis">
+<span class="sig-name descname"><span class="pre">num_basis</span></span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.num_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean">
+<span class="sig-name descname"><span class="pre">mean</span></span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std">
+<span class="sig-name descname"><span class="pre">std</span></span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.weight">
+<span class="sig-name descname"><span class="pre">weight</span></span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.weight" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.bias">
+<span class="sig-name descname"><span class="pre">bias</span></span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.bias" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_max">
+<span class="sig-name descname"><span class="pre">std_init_max</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1.0</span></em><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_max" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_min">
+<span class="sig-name descname"><span class="pre">std_init_min</span></span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_min" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_max">
+<span class="sig-name descname"><span class="pre">mean_init_max</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1.0</span></em><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_max" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_min">
+<span class="sig-name descname"><span class="pre">mean_init_min</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_min" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dist</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">node_atom</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_src</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_dst</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.extra_repr">
+<span class="sig-name descname"><span class="pre">extra_repr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.extra_repr" title="Link to this definition">#</a></dt>
+<dd><p>Set the extra representation of the module.</p>
+<p>To print customized extra information, you should re-implement
+this method in your own modules. Both single-line and multi-line
+strings are acceptable.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.gaussian"><code class="docutils literal notranslate"><span class="pre">gaussian()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.num_basis"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.num_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.cutoff"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.mean</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.std</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.weight"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.weight</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.bias"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.bias</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_max"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.std_init_max</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_min"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.std_init_min</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_max"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.mean_init_max</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_min"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.mean_init_min</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.forward"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.extra_repr"><code class="docutils literal notranslate"><span class="pre">GaussianRadialBasisLayer.extra_repr()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+</ul>
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+    <h1>core.models.equiformer_v2.heads</h1>
+    <!-- Table of contents -->
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+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.ouput_name"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.ouput_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.sphharm_norm"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.xedge_layer_norm"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.block"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.output_name"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.decompose"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.decompose</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.use_source_target_embedding"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.use_source_target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.forward"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.output_name"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.reduce"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.energy_block"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.forward"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead.output_name"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead.force_block"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.force_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead.forward"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
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+              
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.heads">
+<span id="core-models-equiformer-v2-heads"></span><h1>core.models.equiformer_v2.heads<a class="headerlink" href="#module-core.models.equiformer_v2.heads" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="rank2/index.html">core.models.equiformer_v2.heads.rank2</a></li>
+<li class="toctree-l1"><a class="reference internal" href="scalar/index.html">core.models.equiformer_v2.heads.scalar</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vector/index.html">core.models.equiformer_v2.heads.vector</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead" title="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead</span></code></a></p></td>
+<td><p>A rank 2 symmetric tensor prediction head.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.heads.EqV2ScalarHead" title="core.models.equiformer_v2.heads.EqV2ScalarHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EqV2ScalarHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.heads.EqV2VectorHead" title="core.models.equiformer_v2.heads.EqV2VectorHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EqV2VectorHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.heads.</span></span><span class="sig-name descname"><span class="pre">Rank2SymmetricTensorHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.base.BackboneInterface</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'stress'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decompose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_level_mlp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mlp_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_source_target_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_norm_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'layer_norm_sh'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>A rank 2 symmetric tensor prediction head.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.ouput_name">
+<span class="sig-name descname"><span class="pre">ouput_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.ouput_name" title="Link to this definition">#</a></dt>
+<dd><p>name of output prediction property (ie, stress)</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.sphharm_norm">
+<span class="sig-name descname"><span class="pre">sphharm_norm</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.sphharm_norm" title="Link to this definition">#</a></dt>
+<dd><p>layer normalization for spherical harmonic edge weights</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.xedge_layer_norm">
+<span class="sig-name descname"><span class="pre">xedge_layer_norm</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.xedge_layer_norm" title="Link to this definition">#</a></dt>
+<dd><p>embedding layer norm</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.block">
+<span class="sig-name descname"><span class="pre">block</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.block" title="Link to this definition">#</a></dt>
+<dd><p>rank 2 equivariant symmetric tensor block</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.output_name">
+<span class="sig-name descname"><span class="pre">output_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.output_name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.decompose">
+<span class="sig-name descname"><span class="pre">decompose</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.decompose" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.use_source_target_embedding">
+<span class="sig-name descname"><span class="pre">use_source_target_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.use_source_target_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.avg_num_nodes">
+<span class="sig-name descname"><span class="pre">avg_num_nodes</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.avg_num_nodes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id0">
+<span class="sig-name descname"><span class="pre">sphharm_norm</span></span><a class="headerlink" href="#id0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id1">
+<span class="sig-name descname"><span class="pre">xedge_layer_norm</span></span><a class="headerlink" href="#id1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> – data batch</p></li>
+<li><p><strong>emb</strong> – dictionary with embedding object and graph data</p></li>
+</ul>
+</dd>
+</dl>
+<p>Returns: dict of {output property name: predicted value}</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2ScalarHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.heads.</span></span><span class="sig-name descname"><span class="pre">EqV2ScalarHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'energy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduce</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sum'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2ScalarHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2ScalarHead.output_name">
+<span class="sig-name descname"><span class="pre">output_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.output_name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2ScalarHead.reduce">
+<span class="sig-name descname"><span class="pre">reduce</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2ScalarHead.avg_num_nodes">
+<span class="sig-name descname"><span class="pre">avg_num_nodes</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.avg_num_nodes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2ScalarHead.energy_block">
+<span class="sig-name descname"><span class="pre">energy_block</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.energy_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2ScalarHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">fairchem.core.models.base.GraphData</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2VectorHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.heads.</span></span><span class="sig-name descname"><span class="pre">EqV2VectorHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.base.BackboneInterface</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'forces'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2VectorHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2VectorHead.output_name">
+<span class="sig-name descname"><span class="pre">output_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2VectorHead.output_name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2VectorHead.activation_checkpoint">
+<span class="sig-name descname"><span class="pre">activation_checkpoint</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2VectorHead.activation_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2VectorHead.force_block">
+<span class="sig-name descname"><span class="pre">force_block</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2VectorHead.force_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.EqV2VectorHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.EqV2VectorHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            mode: "python"
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+            name: "python3",
+            path: "./autoapi/core/models/equiformer_v2/heads"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.ouput_name"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.ouput_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.sphharm_norm"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.xedge_layer_norm"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.block"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.output_name"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.decompose"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.decompose</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.use_source_target_embedding"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.use_source_target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.forward"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.output_name"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.reduce"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.energy_block"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2ScalarHead.forward"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead.output_name"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead.force_block"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.force_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.EqV2VectorHead.forward"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.forward()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.extensive"><code class="docutils literal notranslate"><span class="pre">Rank2Block.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.scalar_nonlinearity"><code class="docutils literal notranslate"><span class="pre">Rank2Block.scalar_nonlinearity</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.r2tensor_MLP"><code class="docutils literal notranslate"><span class="pre">Rank2Block.r2tensor_MLP</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.forward"><code class="docutils literal notranslate"><span class="pre">Rank2Block.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.emb_size"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.edge_level"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.edge_level</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.extensive"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_nonlinearity"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.scalar_nonlinearity</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_MLP"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.scalar_MLP</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.irrep2_MLP"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.irrep2_MLP</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.change_mat"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.change_mat</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.forward"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.ouput_name"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.ouput_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.sphharm_norm"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.xedge_layer_norm"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.block"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.output_name"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.decompose"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.decompose</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.use_source_target_embedding"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.use_source_target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.forward"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.heads.rank2">
+<span id="core-models-equiformer-v2-heads-rank2"></span><h1>core.models.equiformer_v2.heads.rank2<a class="headerlink" href="#module-core.models.equiformer_v2.heads.rank2" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.heads.rank2.Rank2Block" title="core.models.equiformer_v2.heads.rank2.Rank2Block"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Rank2Block</span></code></a></p></td>
+<td><p>Output block for predicting rank-2 tensors (stress, dielectric tensor).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock" title="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock</span></code></a></p></td>
+<td><p>Output block for predicting rank-2 tensors (stress, dielectric tensor, etc).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead" title="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead</span></code></a></p></td>
+<td><p>A rank 2 symmetric tensor prediction head.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2Block">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.heads.rank2.</span></span><span class="sig-name descname"><span class="pre">Rank2Block</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2Block" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Output block for predicting rank-2 tensors (stress, dielectric tensor).
+Applies outer product between edges and computes node-wise or edge-wise MLP.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size</strong> (<em>int</em>) – Size of edge embedding used to compute outer product</p></li>
+<li><p><strong>num_layers</strong> (<em>int</em>) – Number of layers of the MLP</p></li>
+<li><p><strong>edge_level</strong> (<em>bool</em>) – If true apply MLP at edge level before pooling, otherwise use MLP at nodes after pooling</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether to sum or average the outer products</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2Block.edge_level">
+<span class="sig-name descname"><span class="pre">edge_level</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.edge_level" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2Block.emb_size">
+<span class="sig-name descname"><span class="pre">emb_size</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.emb_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2Block.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2Block.scalar_nonlinearity">
+<span class="sig-name descname"><span class="pre">scalar_nonlinearity</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.scalar_nonlinearity" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2Block.r2tensor_MLP">
+<span class="sig-name descname"><span class="pre">r2tensor_MLP</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.r2tensor_MLP" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2Block.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_edge</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>edge_distance_vec</strong> (<em>torch.Tensor</em>) – Tensor of shape (…, 3)</p></li>
+<li><p><strong>x_edge</strong> (<em>torch.Tensor</em>) – Tensor of shape (…, emb_size)</p></li>
+<li><p><strong>edge_index</strong> (<em>torch.Tensor</em>) – Tensor of shape (2, nEdges)</p></li>
+<li><p><strong>data</strong> – LMDBDataset sample</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.heads.rank2.</span></span><span class="sig-name descname"><span class="pre">Rank2DecompositionEdgeBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Output block for predicting rank-2 tensors (stress, dielectric tensor, etc).
+Decomposes a rank-2 symmetric tensor into irrep degree 0 and 2.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size</strong> (<em>int</em>) – Size of edge embedding used to compute outer product</p></li>
+<li><p><strong>num_layers</strong> (<em>int</em>) – Number of layers of the MLP</p></li>
+<li><p><strong>edge_level</strong> (<em>bool</em>) – If true apply MLP at edge level before pooling, otherwise use MLP at nodes after pooling</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether to sum or average the outer products</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.emb_size">
+<span class="sig-name descname"><span class="pre">emb_size</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.emb_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.edge_level">
+<span class="sig-name descname"><span class="pre">edge_level</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.edge_level" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_nonlinearity">
+<span class="sig-name descname"><span class="pre">scalar_nonlinearity</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_nonlinearity" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_MLP">
+<span class="sig-name descname"><span class="pre">scalar_MLP</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_MLP" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.irrep2_MLP">
+<span class="sig-name descname"><span class="pre">irrep2_MLP</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.irrep2_MLP" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.change_mat">
+<span class="sig-name descname"><span class="pre">change_mat</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.change_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_edge</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>edge_distance_vec</strong> (<em>torch.Tensor</em>) – Tensor of shape (…, 3)</p></li>
+<li><p><strong>x_edge</strong> (<em>torch.Tensor</em>) – Tensor of shape (…, emb_size)</p></li>
+<li><p><strong>edge_index</strong> (<em>torch.Tensor</em>) – Tensor of shape (2, nEdges)</p></li>
+<li><p><strong>data</strong> – LMDBDataset sample</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.heads.rank2.</span></span><span class="sig-name descname"><span class="pre">Rank2SymmetricTensorHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.base.BackboneInterface</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'stress'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decompose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_level_mlp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mlp_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_source_target_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_norm_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'layer_norm_sh'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>A rank 2 symmetric tensor prediction head.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.ouput_name">
+<span class="sig-name descname"><span class="pre">ouput_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.ouput_name" title="Link to this definition">#</a></dt>
+<dd><p>name of output prediction property (ie, stress)</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.sphharm_norm">
+<span class="sig-name descname"><span class="pre">sphharm_norm</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.sphharm_norm" title="Link to this definition">#</a></dt>
+<dd><p>layer normalization for spherical harmonic edge weights</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.xedge_layer_norm">
+<span class="sig-name descname"><span class="pre">xedge_layer_norm</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.xedge_layer_norm" title="Link to this definition">#</a></dt>
+<dd><p>embedding layer norm</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.block">
+<span class="sig-name descname"><span class="pre">block</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.block" title="Link to this definition">#</a></dt>
+<dd><p>rank 2 equivariant symmetric tensor block</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.output_name">
+<span class="sig-name descname"><span class="pre">output_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.output_name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.decompose">
+<span class="sig-name descname"><span class="pre">decompose</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.decompose" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.use_source_target_embedding">
+<span class="sig-name descname"><span class="pre">use_source_target_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.use_source_target_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.avg_num_nodes">
+<span class="sig-name descname"><span class="pre">avg_num_nodes</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.avg_num_nodes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id0">
+<span class="sig-name descname"><span class="pre">sphharm_norm</span></span><a class="headerlink" href="#id0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id1">
+<span class="sig-name descname"><span class="pre">xedge_layer_norm</span></span><a class="headerlink" href="#id1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> – data batch</p></li>
+<li><p><strong>emb</strong> – dictionary with embedding object and graph data</p></li>
+</ul>
+</dd>
+</dl>
+<p>Returns: dict of {output property name: predicted value}</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block"><code class="docutils literal notranslate"><span class="pre">Rank2Block</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.edge_level"><code class="docutils literal notranslate"><span class="pre">Rank2Block.edge_level</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.emb_size"><code class="docutils literal notranslate"><span class="pre">Rank2Block.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.extensive"><code class="docutils literal notranslate"><span class="pre">Rank2Block.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.scalar_nonlinearity"><code class="docutils literal notranslate"><span class="pre">Rank2Block.scalar_nonlinearity</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.r2tensor_MLP"><code class="docutils literal notranslate"><span class="pre">Rank2Block.r2tensor_MLP</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2Block.forward"><code class="docutils literal notranslate"><span class="pre">Rank2Block.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.emb_size"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.edge_level"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.edge_level</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.extensive"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_nonlinearity"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.scalar_nonlinearity</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_MLP"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.scalar_MLP</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.irrep2_MLP"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.irrep2_MLP</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.change_mat"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.change_mat</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.forward"><code class="docutils literal notranslate"><span class="pre">Rank2DecompositionEdgeBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.ouput_name"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.ouput_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.sphharm_norm"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.xedge_layer_norm"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.block"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.output_name"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.decompose"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.decompose</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.use_source_target_embedding"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.use_source_target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.sphharm_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.xedge_layer_norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.forward"><code class="docutils literal notranslate"><span class="pre">Rank2SymmetricTensorHead.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.equiformer_v2.heads.scalar</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.output_name"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.reduce"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.energy_block"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.forward"><code class="docutils literal notranslate"><span class="pre">EqV2ScalarHead.forward()</span></code></a></li>
+</ul>
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+</ul>
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+                  
+  <section id="module-core.models.equiformer_v2.heads.scalar">
+<span id="core-models-equiformer-v2-heads-scalar"></span><h1>core.models.equiformer_v2.heads.scalar<a class="headerlink" href="#module-core.models.equiformer_v2.heads.scalar" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead" title="core.models.equiformer_v2.heads.scalar.EqV2ScalarHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EqV2ScalarHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.scalar.EqV2ScalarHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.heads.scalar.</span></span><span class="sig-name descname"><span class="pre">EqV2ScalarHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'energy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduce</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sum'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.output_name">
+<span class="sig-name descname"><span class="pre">output_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.output_name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.reduce">
+<span class="sig-name descname"><span class="pre">reduce</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.avg_num_nodes">
+<span class="sig-name descname"><span class="pre">avg_num_nodes</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.avg_num_nodes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.energy_block">
+<span class="sig-name descname"><span class="pre">energy_block</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.energy_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">fairchem.core.models.base.GraphData</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    {
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+    <!-- Table of contents -->
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+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.output_name"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.force_block"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.force_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.forward"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
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+</div>
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.heads.vector">
+<span id="core-models-equiformer-v2-heads-vector"></span><h1>core.models.equiformer_v2.heads.vector<a class="headerlink" href="#module-core.models.equiformer_v2.heads.vector" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead" title="core.models.equiformer_v2.heads.vector.EqV2VectorHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EqV2VectorHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.vector.EqV2VectorHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.heads.vector.</span></span><span class="sig-name descname"><span class="pre">EqV2VectorHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.base.BackboneInterface</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'forces'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.vector.EqV2VectorHead.output_name">
+<span class="sig-name descname"><span class="pre">output_name</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.output_name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.vector.EqV2VectorHead.activation_checkpoint">
+<span class="sig-name descname"><span class="pre">activation_checkpoint</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.activation_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.vector.EqV2VectorHead.force_block">
+<span class="sig-name descname"><span class="pre">force_block</span></span><a class="headerlink" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.force_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.heads.vector.EqV2VectorHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.output_name"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.output_name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.force_block"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.force_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.heads.vector.EqV2VectorHead.forward"><code class="docutils literal notranslate"><span class="pre">EqV2VectorHead.forward()</span></code></a></li>
+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>core.models.equiformer_v2</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2"><code class="docutils literal notranslate"><span class="pre">EquiformerV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_pbc"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.regress_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.otf_graph"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.max_neighbors"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.max_radius"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.cutoff"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_layers"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.attn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_heads"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_heads</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.attn_alpha_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_alpha_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.attn_value_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_value_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.ffn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.ffn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.norm_type"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.norm_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.lmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.mmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.grid_resolution"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.grid_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.edge_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.share_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.share_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_m_share_rad"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_m_share_rad</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.distance_function"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_distance_basis"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_distance_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.attn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_s2_act_attn"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_s2_act_attn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_attn_renorm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_attn_renorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.ffn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.ffn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_gate_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_grid_mlp"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_grid_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.alpha_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.alpha_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.drop_path_rate"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.drop_path_rate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.proj_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.proj_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.avg_degree"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.avg_degree</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.load_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.load_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.weight_init"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.weight_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.device"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.grad_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.mappingReduced"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.SO3_grid"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.edge_degree_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_degree_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.blocks"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.norm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.energy_block"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._init_gp_partitions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._init_gp_partitions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.forward"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_params"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._init_weights"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._init_weights()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._uniform_init_rad_func_linear_weights"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._uniform_init_rad_func_linear_weights()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._uniform_init_linear_weights"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._uniform_init_linear_weights()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.no_weight_decay"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.no_weight_decay()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2">
+<span id="core-models-equiformer-v2"></span><h1>core.models.equiformer_v2<a class="headerlink" href="#module-core.models.equiformer_v2" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="activation/index.html">core.models.equiformer_v2.activation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="drop/index.html">core.models.equiformer_v2.drop</a></li>
+<li class="toctree-l1"><a class="reference internal" href="edge_rot_mat/index.html">core.models.equiformer_v2.edge_rot_mat</a></li>
+<li class="toctree-l1"><a class="reference internal" href="equiformer_v2/index.html">core.models.equiformer_v2.equiformer_v2</a></li>
+<li class="toctree-l1"><a class="reference internal" href="equiformer_v2_dens/index.html">core.models.equiformer_v2.equiformer_v2_dens</a></li>
+<li class="toctree-l1"><a class="reference internal" href="equiformer_v2_deprecated/index.html">core.models.equiformer_v2.equiformer_v2_deprecated</a></li>
+<li class="toctree-l1"><a class="reference internal" href="eqv2_to_eqv2_hydra/index.html">core.models.equiformer_v2.eqv2_to_eqv2_hydra</a></li>
+<li class="toctree-l1"><a class="reference internal" href="gaussian_rbf/index.html">core.models.equiformer_v2.gaussian_rbf</a></li>
+<li class="toctree-l1"><a class="reference internal" href="heads/index.html">core.models.equiformer_v2.heads</a></li>
+<li class="toctree-l1"><a class="reference internal" href="input_block/index.html">core.models.equiformer_v2.input_block</a></li>
+<li class="toctree-l1"><a class="reference internal" href="layer_norm/index.html">core.models.equiformer_v2.layer_norm</a></li>
+<li class="toctree-l1"><a class="reference internal" href="module_list/index.html">core.models.equiformer_v2.module_list</a></li>
+<li class="toctree-l1"><a class="reference internal" href="radial_function/index.html">core.models.equiformer_v2.radial_function</a></li>
+<li class="toctree-l1"><a class="reference internal" href="so2_ops/index.html">core.models.equiformer_v2.so2_ops</a></li>
+<li class="toctree-l1"><a class="reference internal" href="so3/index.html">core.models.equiformer_v2.so3</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trainers/index.html">core.models.equiformer_v2.trainers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="transformer_block/index.html">core.models.equiformer_v2.transformer_block</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weight_initialization/index.html">core.models.equiformer_v2.weight_initialization</a></li>
+<li class="toctree-l1"><a class="reference internal" href="wigner/index.html">core.models.equiformer_v2.wigner</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.EquiformerV2" title="core.models.equiformer_v2.EquiformerV2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquiformerV2</span></code></a></p></td>
+<td><p>THIS CLASS HAS BEEN DEPRECATED! Please use &quot;EquiformerV2BackboneAndHeads&quot;</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.</span></span><span class="sig-name descname"><span class="pre">EquiformerV2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">90</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_alpha_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_value_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rms_norm_sh'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grid_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">share_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_m_share_rad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_distance_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_s2_act_attn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_attn_renorm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gate_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_grid_mlp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_sep_s2_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_path_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proj_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'normal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_neighbors_strictly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">avg_degree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy_lin_ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_energy_lin_ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>THIS CLASS HAS BEEN DEPRECATED! Please use “EquiformerV2BackboneAndHeads”</p>
+<p>Equiformer with graph attention built upon SO(2) convolution and feedforward network built upon S2 activation</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Use periodic boundary conditions</p></li>
+<li><p><strong>use_pbc_single</strong> (<em>bool</em>) – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Compute forces</p></li>
+<li><p><strong>otf_graph</strong> (<em>bool</em>) – Compute graph On The Fly (OTF)</p></li>
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Maximum number of neighbors per atom</p></li>
+<li><p><strong>max_radius</strong> (<em>float</em>) – Maximum distance between nieghboring atoms in Angstroms</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum atomic number</p></li>
+<li><p><strong>num_layers</strong> (<em>int</em>) – Number of layers in the GNN</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels (one set per resolution)</p></li>
+<li><p><strong>attn_hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during SO(2) graph attention</p></li>
+<li><p><strong>num_heads</strong> (<em>int</em>) – Number of attention heads</p></li>
+<li><p><strong>attn_alpha_head</strong> (<em>int</em>) – Number of channels for alpha vector in each attention head</p></li>
+<li><p><strong>attn_value_head</strong> (<em>int</em>) – Number of channels for value vector in each attention head</p></li>
+<li><p><strong>ffn_hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during feedforward network</p></li>
+<li><p><strong>norm_type</strong> (<em>str</em>) – Type of normalization layer ([‘layer_norm’, ‘layer_norm_sh’, ‘rms_norm_sh’])</p></li>
+<li><p><strong>lmax_list</strong> (<em>int</em>) – List of maximum degree of the spherical harmonics (1 to 10)</p></li>
+<li><p><strong>mmax_list</strong> (<em>int</em>) – List of maximum order of the spherical harmonics (0 to lmax)</p></li>
+<li><p><strong>grid_resolution</strong> (<em>int</em>) – Resolution of SO3_Grid</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integration of the sphere in the output blocks</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Number of channels for the edge invariant features</p></li>
+<li><p><strong>use_atom_edge_embedding</strong> (<em>bool</em>) – Whether to use atomic embedding along with relative distance for edge scalar features</p></li>
+<li><p><strong>share_atom_edge_embedding</strong> (<em>bool</em>) – Whether to share <cite>atom_edge_embedding</cite> across all blocks</p></li>
+<li><p><strong>use_m_share_rad</strong> (<em>bool</em>) – Whether all m components within a type-L vector of one channel share radial function weights</p></li>
+<li><p><strong>distance_function</strong> (<em>&quot;gaussian&quot;</em><em>, </em><em>&quot;sigmoid&quot;</em><em>, </em><em>&quot;linearsigmoid&quot;</em><em>, </em><em>&quot;silu&quot;</em>) – Basis function used for distances</p></li>
+<li><p><strong>attn_activation</strong> (<em>str</em>) – Type of activation function for SO(2) graph attention</p></li>
+<li><p><strong>use_s2_act_attn</strong> (<em>bool</em>) – Whether to use attention after S2 activation. Otherwise, use the same attention as Equiformer</p></li>
+<li><p><strong>use_attn_renorm</strong> (<em>bool</em>) – Whether to re-normalize attention weights</p></li>
+<li><p><strong>ffn_activation</strong> (<em>str</em>) – Type of activation function for feedforward network</p></li>
+<li><p><strong>use_gate_act</strong> (<em>bool</em>) – If <cite>True</cite>, use gate activation. Otherwise, use S2 activation</p></li>
+<li><p><strong>use_grid_mlp</strong> (<em>bool</em>) – If <cite>True</cite>, use projecting to grids and performing MLPs for FFNs.</p></li>
+<li><p><strong>use_sep_s2_act</strong> (<em>bool</em>) – If <cite>True</cite>, use separable S2 activation when <cite>use_gate_act</cite> is False.</p></li>
+<li><p><strong>alpha_drop</strong> (<em>float</em>) – Dropout rate for attention weights</p></li>
+<li><p><strong>drop_path_rate</strong> (<em>float</em>) – Drop path rate</p></li>
+<li><p><strong>proj_drop</strong> (<em>float</em>) – Dropout rate for outputs of attention and FFN in Transformer blocks</p></li>
+<li><p><strong>weight_init</strong> (<em>str</em>) – [‘normal’, ‘uniform’] initialization of weights of linear layers except those in radial functions</p></li>
+<li><p><strong>enforce_max_neighbors_strictly</strong> (<em>bool</em>) – When edges are subselected based on the <cite>max_neighbors</cite> arg, arbitrarily select amongst equidistant / degenerate edges to have exactly the correct number.</p></li>
+<li><p><strong>avg_num_nodes</strong> (<em>float</em>) – Average number of nodes per graph</p></li>
+<li><p><strong>avg_degree</strong> (<em>float</em>) – Average degree of nodes in the graph</p></li>
+<li><p><strong>use_energy_lin_ref</strong> (<em>bool</em>) – Whether to add the per-atom energy references during prediction.
+During training and validation, this should be kept <cite>False</cite> since we use the <cite>lin_ref</cite> parameter in the OC22 dataloader to subtract the per-atom linear references from the energy targets.
+During prediction (where we don’t have energy targets), this can be set to <cite>True</cite> to add the per-atom linear references to the predicted energies.</p></li>
+<li><p><strong>load_energy_lin_ref</strong> (<em>bool</em>) – Whether to add nn.Parameters for the per-element energy references.
+This additional flag is there to ensure compatibility when strict-loading checkpoints, since the <cite>use_energy_lin_ref</cite> flag can be either True or False even if the model is trained with linear references.
+You can’t have use_energy_lin_ref = True and load_energy_lin_ref = False, since the model will not have the parameters for the linear references. All other combinations are fine.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.max_radius">
+<span class="sig-name descname"><span class="pre">max_radius</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.max_radius" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.num_layers">
+<span class="sig-name descname"><span class="pre">num_layers</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.num_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.attn_hidden_channels">
+<span class="sig-name descname"><span class="pre">attn_hidden_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.attn_hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.num_heads">
+<span class="sig-name descname"><span class="pre">num_heads</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.num_heads" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.attn_alpha_channels">
+<span class="sig-name descname"><span class="pre">attn_alpha_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.attn_alpha_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.attn_value_channels">
+<span class="sig-name descname"><span class="pre">attn_value_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.attn_value_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.ffn_hidden_channels">
+<span class="sig-name descname"><span class="pre">ffn_hidden_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.ffn_hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.norm_type">
+<span class="sig-name descname"><span class="pre">norm_type</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.norm_type" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.grid_resolution">
+<span class="sig-name descname"><span class="pre">grid_resolution</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.grid_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_atom_edge_embedding">
+<span class="sig-name descname"><span class="pre">use_atom_edge_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_atom_edge_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.share_atom_edge_embedding">
+<span class="sig-name descname"><span class="pre">share_atom_edge_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.share_atom_edge_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_m_share_rad">
+<span class="sig-name descname"><span class="pre">use_m_share_rad</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_m_share_rad" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.distance_function">
+<span class="sig-name descname"><span class="pre">distance_function</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.distance_function" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.num_distance_basis">
+<span class="sig-name descname"><span class="pre">num_distance_basis</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.num_distance_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.attn_activation">
+<span class="sig-name descname"><span class="pre">attn_activation</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.attn_activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_s2_act_attn">
+<span class="sig-name descname"><span class="pre">use_s2_act_attn</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_s2_act_attn" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_attn_renorm">
+<span class="sig-name descname"><span class="pre">use_attn_renorm</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_attn_renorm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.ffn_activation">
+<span class="sig-name descname"><span class="pre">ffn_activation</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.ffn_activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_gate_act">
+<span class="sig-name descname"><span class="pre">use_gate_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_gate_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_grid_mlp">
+<span class="sig-name descname"><span class="pre">use_grid_mlp</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_grid_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_sep_s2_act">
+<span class="sig-name descname"><span class="pre">use_sep_s2_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_sep_s2_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.alpha_drop">
+<span class="sig-name descname"><span class="pre">alpha_drop</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.alpha_drop" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.drop_path_rate">
+<span class="sig-name descname"><span class="pre">drop_path_rate</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.drop_path_rate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.proj_drop">
+<span class="sig-name descname"><span class="pre">proj_drop</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.proj_drop" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.avg_num_nodes">
+<span class="sig-name descname"><span class="pre">avg_num_nodes</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.avg_num_nodes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.avg_degree">
+<span class="sig-name descname"><span class="pre">avg_degree</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.avg_degree" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.use_energy_lin_ref">
+<span class="sig-name descname"><span class="pre">use_energy_lin_ref</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.use_energy_lin_ref" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.load_energy_lin_ref">
+<span class="sig-name descname"><span class="pre">load_energy_lin_ref</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.load_energy_lin_ref" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.weight_init">
+<span class="sig-name descname"><span class="pre">weight_init</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.weight_init" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.enforce_max_neighbors_strictly">
+<span class="sig-name descname"><span class="pre">enforce_max_neighbors_strictly</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.enforce_max_neighbors_strictly" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.device">
+<span class="sig-name descname"><span class="pre">device</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'cpu'</span></em><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.grad_forces">
+<span class="sig-name descname"><span class="pre">grad_forces</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.grad_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.sphere_channels_all">
+<span class="sig-name descname"><span class="pre">sphere_channels_all</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.sphere_channels_all" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.sphere_embedding">
+<span class="sig-name descname"><span class="pre">sphere_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.sphere_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.edge_channels_list">
+<span class="sig-name descname"><span class="pre">edge_channels_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.edge_channels_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.SO3_rotation">
+<span class="sig-name descname"><span class="pre">SO3_rotation</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.SO3_rotation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.mappingReduced">
+<span class="sig-name descname"><span class="pre">mappingReduced</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.mappingReduced" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.edge_degree_embedding">
+<span class="sig-name descname"><span class="pre">edge_degree_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.edge_degree_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.blocks">
+<span class="sig-name descname"><span class="pre">blocks</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.norm">
+<span class="sig-name descname"><span class="pre">norm</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.norm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.energy_block">
+<span class="sig-name descname"><span class="pre">energy_block</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.energy_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2._init_gp_partitions">
+<span class="sig-name descname"><span class="pre">_init_gp_partitions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atomic_numbers_full</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_batch_full</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2._init_gp_partitions" title="Link to this definition">#</a></dt>
+<dd><p>Graph Parallel
+This creates the required partial tensors for each rank given the full tensors.
+The tensors are split on the dimension along the node index using node_partition.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2._init_edge_rot_mat">
+<span class="sig-name descname"><span class="pre">_init_edge_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2._init_edge_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2._init_weights">
+<span class="sig-name descname"><span class="pre">_init_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2._init_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2._uniform_init_rad_func_linear_weights">
+<span class="sig-name descname"><span class="pre">_uniform_init_rad_func_linear_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2._uniform_init_rad_func_linear_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2._uniform_init_linear_weights">
+<span class="sig-name descname"><span class="pre">_uniform_init_linear_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2._uniform_init_linear_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.EquiformerV2.no_weight_decay">
+<span class="sig-name descname"><span class="pre">no_weight_decay</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">set</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.EquiformerV2.no_weight_decay" title="Link to this definition">#</a></dt>
+<dd><p>Returns a list of parameters with no weight decay.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2"><code class="docutils literal notranslate"><span class="pre">EquiformerV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_pbc"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.regress_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.otf_graph"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.max_neighbors"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.max_radius"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.cutoff"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_layers"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.attn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_heads"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_heads</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.attn_alpha_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_alpha_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.attn_value_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_value_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.ffn_hidden_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.ffn_hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.norm_type"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.norm_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.lmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.mmax_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.grid_resolution"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.grid_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.edge_channels"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.share_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.share_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_m_share_rad"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_m_share_rad</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.distance_function"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_distance_basis"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_distance_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.attn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.attn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_s2_act_attn"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_s2_act_attn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_attn_renorm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_attn_renorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.ffn_activation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.ffn_activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_gate_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_grid_mlp"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_grid_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.alpha_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.alpha_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.drop_path_rate"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.drop_path_rate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.proj_drop"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.proj_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.avg_num_nodes"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.avg_num_nodes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.avg_degree"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.avg_degree</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.use_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.use_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.load_energy_lin_ref"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.load_energy_lin_ref</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.weight_init"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.weight_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.device"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.grad_forces"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.mappingReduced"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.SO3_grid"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.edge_degree_embedding"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.edge_degree_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.blocks"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.norm"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.norm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.energy_block"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._init_gp_partitions"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._init_gp_partitions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.forward"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.num_params"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._init_weights"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._init_weights()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._uniform_init_rad_func_linear_weights"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._uniform_init_rad_func_linear_weights()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2._uniform_init_linear_weights"><code class="docutils literal notranslate"><span class="pre">EquiformerV2._uniform_init_linear_weights()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.EquiformerV2.no_weight_decay"><code class="docutils literal notranslate"><span class="pre">EquiformerV2.no_weight_decay()</span></code></a></li>
+</ul>
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diff --git a/autoapi/core/models/equiformer_v2/input_block/index.html b/autoapi/core/models/equiformer_v2/input_block/index.html
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+    <h1>core.models.equiformer_v2.input_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.lmax_list"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mmax_list"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mappingReduced"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_0_num_coefficients"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.m_0_num_coefficients</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_all_num_coefficents"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.m_all_num_coefficents</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rad_func"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.rad_func</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rescale_factor"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.rescale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
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+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.input_block">
+<span id="core-models-equiformer-v2-input-block"></span><h1>core.models.equiformer_v2.input_block<a class="headerlink" href="#module-core.models.equiformer_v2.input_block" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding" title="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.input_block.</span></span><span class="sig-name descname"><span class="pre">EdgeDegreeEmbedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_rotation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rescale_factor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>edge_channels_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – SO3_Rotation): Class to calculate Wigner-D matrices and rotate embeddings</p></li>
+<li><p><strong>mappingReduced</strong> (<a class="reference internal" href="../so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule" title="core.models.equiformer_v2.so3.CoefficientMappingModule"><em>CoefficientMappingModule</em></a>) – Class to convert l and m indices once node embedding is rotated</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum number of atomic numbers</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):  List of sizes of invariant edge embedding. For example, [input_channels, hidden_channels, hidden_channels].
+The last one will be used as hidden size when <cite>use_atom_edge_embedding</cite> is <cite>True</cite>.</p></li>
+<li><p><strong>use_atom_edge_embedding</strong> (<em>bool</em>) – Whether to use atomic embedding along with relative distance for edge scalar features</p></li>
+<li><p><strong>rescale_factor</strong> (<em>float</em>) – Rescale the sum aggregation</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.SO3_rotation">
+<span class="sig-name descname"><span class="pre">SO3_rotation</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.SO3_rotation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mappingReduced">
+<span class="sig-name descname"><span class="pre">mappingReduced</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mappingReduced" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_0_num_coefficients">
+<span class="sig-name descname"><span class="pre">m_0_num_coefficients</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_0_num_coefficients" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_all_num_coefficents">
+<span class="sig-name descname"><span class="pre">m_all_num_coefficents</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_all_num_coefficents" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.edge_channels_list">
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+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.use_atom_edge_embedding">
+<span class="sig-name descname"><span class="pre">use_atom_edge_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.use_atom_edge_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rad_func">
+<span class="sig-name descname"><span class="pre">rad_func</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rad_func" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rescale_factor">
+<span class="sig-name descname"><span class="pre">rescale_factor</span></span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rescale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atomic_numbers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_nodes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">node_offset</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.lmax_list"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mmax_list"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mappingReduced"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_0_num_coefficients"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.m_0_num_coefficients</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_all_num_coefficents"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.m_all_num_coefficents</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rad_func"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.rad_func</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rescale_factor"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.rescale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">EdgeDegreeEmbedding.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.equiformer_v2.layer_norm</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.get_normalization_layer"><code class="docutils literal notranslate"><span class="pre">get_normalization_layer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.get_l_to_all_m_expand_index"><code class="docutils literal notranslate"><span class="pre">get_l_to_all_m_expand_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.eps"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.affine"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.affine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.normalization"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.normalization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.__repr__"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.eps"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.affine"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.affine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.std_balance_degrees"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.std_balance_degrees</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.norm_l0"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.norm_l0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.normalization"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.normalization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.__repr__"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.eps"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.affine"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.affine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.normalization"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.normalization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.__repr__"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.eps"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.affine"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.affine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.centering"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.centering</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.std_balance_degrees"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.std_balance_degrees</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.normalization"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.normalization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.__repr__"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale"><code class="docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.scale_factor"><code class="docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.affine_weight"><code class="docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale.affine_weight</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.__repr__"><code class="docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.layer_norm">
+<span id="core-models-equiformer-v2-layer-norm"></span><h1>core.models.equiformer_v2.layer_norm<a class="headerlink" href="#module-core.models.equiformer_v2.layer_norm" title="Link to this heading">#</a></h1>
+<p>1. Normalize features of shape (N, sphere_basis, C),
+with sphere_basis = (lmax + 1) ** 2.</p>
+<p>2. The difference from <cite>layer_norm.py</cite> is that all type-L vectors have
+the same number of channels and input features are of shape (N, sphere_basis, C).</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray" title="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquivariantLayerNormArray</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics" title="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics" title="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2" title="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale" title="core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.layer_norm.get_normalization_layer" title="core.models.equiformer_v2.layer_norm.get_normalization_layer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_normalization_layer</span></code></a>(norm_type, lmax, num_channels)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.layer_norm.get_l_to_all_m_expand_index" title="core.models.equiformer_v2.layer_norm.get_l_to_all_m_expand_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_l_to_all_m_expand_index</span></code></a>(lmax)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.get_normalization_layer">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.layer_norm.</span></span><span class="sig-name descname"><span class="pre">get_normalization_layer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">norm_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">affine</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalization</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'component'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.get_normalization_layer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.get_l_to_all_m_expand_index">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.layer_norm.</span></span><span class="sig-name descname"><span class="pre">get_l_to_all_m_expand_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.get_l_to_all_m_expand_index" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.layer_norm.</span></span><span class="sig-name descname"><span class="pre">EquivariantLayerNormArray</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">affine</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalization</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'component'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.eps">
+<span class="sig-name descname"><span class="pre">eps</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.eps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.affine">
+<span class="sig-name descname"><span class="pre">affine</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.affine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.normalization">
+<span class="sig-name descname"><span class="pre">normalization</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.normalization" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_input</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.forward" title="Link to this definition">#</a></dt>
+<dd><p>Assume input is of shape [N, sphere_basis, C]</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.layer_norm.</span></span><span class="sig-name descname"><span class="pre">EquivariantLayerNormArraySphericalHarmonics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">affine</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalization</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'component'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std_balance_degrees</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<ol class="arabic simple">
+<li><p>Normalize over L = 0.</p></li>
+<li><p>Normalize across all m components from degrees L &gt; 0.</p></li>
+<li><p>Do not normalize separately for different L (L &gt; 0).</p></li>
+</ol>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.eps">
+<span class="sig-name descname"><span class="pre">eps</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.eps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.affine">
+<span class="sig-name descname"><span class="pre">affine</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.affine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.std_balance_degrees">
+<span class="sig-name descname"><span class="pre">std_balance_degrees</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.std_balance_degrees" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.norm_l0">
+<span class="sig-name descname"><span class="pre">norm_l0</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.norm_l0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.normalization">
+<span class="sig-name descname"><span class="pre">normalization</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.normalization" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_input</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.forward" title="Link to this definition">#</a></dt>
+<dd><p>Assume input is of shape [N, sphere_basis, C]</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.layer_norm.</span></span><span class="sig-name descname"><span class="pre">EquivariantRMSNormArraySphericalHarmonics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">affine</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalization</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'component'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<ol class="arabic simple">
+<li><p>Normalize across all m components from degrees L &gt;= 0.</p></li>
+</ol>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.eps">
+<span class="sig-name descname"><span class="pre">eps</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.eps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.affine">
+<span class="sig-name descname"><span class="pre">affine</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.affine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.normalization">
+<span class="sig-name descname"><span class="pre">normalization</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.normalization" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_input</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.forward" title="Link to this definition">#</a></dt>
+<dd><p>Assume input is of shape [N, sphere_basis, C]</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.layer_norm.</span></span><span class="sig-name descname"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">affine</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalization</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'component'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">centering</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std_balance_degrees</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<ol class="arabic simple">
+<li><p>Normalize across all m components from degrees L &gt;= 0.</p></li>
+<li><p>Expand weights and multiply with normalized feature to prevent slicing and concatenation.</p></li>
+</ol>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.eps">
+<span class="sig-name descname"><span class="pre">eps</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.eps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.affine">
+<span class="sig-name descname"><span class="pre">affine</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.affine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.centering">
+<span class="sig-name descname"><span class="pre">centering</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.centering" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.std_balance_degrees">
+<span class="sig-name descname"><span class="pre">std_balance_degrees</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.std_balance_degrees" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.normalization">
+<span class="sig-name descname"><span class="pre">normalization</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.normalization" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_input</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.forward" title="Link to this definition">#</a></dt>
+<dd><p>Assume input is of shape [N, sphere_basis, C]</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.layer_norm.</span></span><span class="sig-name descname"><span class="pre">EquivariantDegreeLayerScale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<ol class="arabic simple">
+<li><p>Similar to Layer Scale used in CaiT (Going Deeper With Image Transformers (ICCV’21)), we scale the output of both attention and FFN.</p></li>
+<li><p>For degree L &gt; 0, we scale down the square root of 2 * L, which is to emulate halving the number of channels when using higher L.</p></li>
+</ol>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.affine_weight">
+<span class="sig-name descname"><span class="pre">affine_weight</span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.affine_weight" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_input</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+        },
+        predefinedOutput: true
+    }
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.get_normalization_layer"><code class="docutils literal notranslate"><span class="pre">get_normalization_layer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.get_l_to_all_m_expand_index"><code class="docutils literal notranslate"><span class="pre">get_l_to_all_m_expand_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.eps"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.affine"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.affine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.normalization"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.normalization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.__repr__"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArray.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.eps"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.affine"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.affine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.std_balance_degrees"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.std_balance_degrees</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.norm_l0"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.norm_l0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.normalization"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.normalization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.__repr__"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantLayerNormArraySphericalHarmonics.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.eps"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.affine"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.affine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.normalization"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.normalization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.__repr__"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonics.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.eps"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.eps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.affine"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.affine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.centering"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.centering</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.std_balance_degrees"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.std_balance_degrees</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.normalization"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.normalization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.__repr__"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.forward"><code class="docutils literal notranslate"><span class="pre">EquivariantRMSNormArraySphericalHarmonicsV2.forward()</span></code></a></li>
+</ul>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.lmax"><code class="docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.num_channels"><code class="docutils literal notranslate"><span class="pre">EquivariantDegreeLayerScale.num_channels</span></code></a></li>
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+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.module_list.ModuleListInfo"><code class="docutils literal notranslate"><span class="pre">ModuleListInfo</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.module_list.ModuleListInfo.info_str"><code class="docutils literal notranslate"><span class="pre">ModuleListInfo.info_str</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.module_list.ModuleListInfo.__repr__"><code class="docutils literal notranslate"><span class="pre">ModuleListInfo.__repr__()</span></code></a></li>
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+  <section id="module-core.models.equiformer_v2.module_list">
+<span id="core-models-equiformer-v2-module-list"></span><h1>core.models.equiformer_v2.module_list<a class="headerlink" href="#module-core.models.equiformer_v2.module_list" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.module_list.ModuleListInfo" title="core.models.equiformer_v2.module_list.ModuleListInfo"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ModuleListInfo</span></code></a></p></td>
+<td><p>Holds submodules in a list.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.module_list.ModuleListInfo">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.module_list.</span></span><span class="sig-name descname"><span class="pre">ModuleListInfo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">info_str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">modules</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.module_list.ModuleListInfo" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.ModuleList</span></code></p>
+<p>Holds submodules in a list.</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">ModuleList</span></code> can be indexed like a regular Python list, but
+modules it contains are properly registered, and will be visible by all
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code> methods.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>modules</strong> (<em>iterable</em><em>, </em><em>optional</em>) – an iterable of modules to add</p>
+</dd>
+</dl>
+<p>Example:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">class</span><span class="w"> </span><span class="nc">MyModule</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">linears</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">([</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">)])</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="c1"># ModuleList can act as an iterable, or be indexed using ints</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">l</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">linears</span><span class="p">):</span>
+            <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">linears</span><span class="p">[</span><span class="n">i</span> <span class="o">//</span> <span class="mi">2</span><span class="p">](</span><span class="n">x</span><span class="p">)</span> <span class="o">+</span> <span class="n">l</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">x</span>
+</pre></div>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.module_list.ModuleListInfo.info_str">
+<span class="sig-name descname"><span class="pre">info_str</span></span><a class="headerlink" href="#core.models.equiformer_v2.module_list.ModuleListInfo.info_str" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.module_list.ModuleListInfo.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.module_list.ModuleListInfo.__repr__" title="Link to this definition">#</a></dt>
+<dd><p>Return a custom repr for ModuleList that compresses repeated module representations.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.module_list.ModuleListInfo"><code class="docutils literal notranslate"><span class="pre">ModuleListInfo</span></code></a><ul class="nav section-nav flex-column">
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+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.radial_function.RadialFunction" title="core.models.equiformer_v2.radial_function.RadialFunction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RadialFunction</span></code></a></p></td>
+<td><p>Contruct a radial function (linear layers + layer normalization + SiLU) given a list of channels</p></td>
+</tr>
+</tbody>
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+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.radial_function.</span></span><span class="sig-name descname"><span class="pre">RadialFunction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">channels_list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.radial_function.RadialFunction" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Contruct a radial function (linear layers + layer normalization + SiLU) given a list of channels</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.radial_function.RadialFunction.net">
+<span class="sig-name descname"><span class="pre">net</span></span><a class="headerlink" href="#core.models.equiformer_v2.radial_function.RadialFunction.net" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
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+<dt class="sig sig-object py" id="core.models.equiformer_v2.radial_function.RadialFunction.forward">
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m_output_channels"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.m_output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.fc"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.fc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.forward"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.m_output_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.m_output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.mappingReduced"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.internal_weights"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.internal_weights</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.extra_m0_output_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.extra_m0_output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.fc_m0"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.fc_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.so2_m_conv"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.so2_m_conv</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.rad_func"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.rad_func</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.forward"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear"><code class="docutils literal notranslate"><span class="pre">SO2_Linear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.m_output_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.m_output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.mappingReduced"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.internal_weights"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.internal_weights</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.fc_m0"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.fc_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.so2_m_fc"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.so2_m_fc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.rad_func"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.rad_func</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.forward"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.so2_ops">
+<span id="core-models-equiformer-v2-so2-ops"></span><h1>core.models.equiformer_v2.so2_ops<a class="headerlink" href="#module-core.models.equiformer_v2.so2_ops" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution" title="core.models.equiformer_v2.so2_ops.SO2_m_Convolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO2_m_Convolution</span></code></a></p></td>
+<td><p>SO(2) Conv: Perform an SO(2) convolution on features corresponding to +- m</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution" title="core.models.equiformer_v2.so2_ops.SO2_Convolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO2_Convolution</span></code></a></p></td>
+<td><p>SO(2) Block: Perform SO(2) convolutions for all m (orders)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.so2_ops.SO2_Linear" title="core.models.equiformer_v2.so2_ops.SO2_Linear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO2_Linear</span></code></a></p></td>
+<td><p>SO(2) Linear: Perform SO(2) linear for all m (orders).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_m_Convolution">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.so2_ops.</span></span><span class="sig-name descname"><span class="pre">SO2_m_Convolution</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_output_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>SO(2) Conv: Perform an SO(2) convolution on features corresponding to +- m</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m</strong> (<em>int</em>) – Order of the spherical harmonic coefficients</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>m_output_channels</strong> (<em>int</em>) – Number of output channels used during the SO(2) conv</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>mmax_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m">
+<span class="sig-name descname"><span class="pre">m</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_m_Convolution.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m_output_channels">
+<span class="sig-name descname"><span class="pre">m_output_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m_output_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_m_Convolution.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_m_Convolution.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_m_Convolution.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_m_Convolution.fc">
+<span class="sig-name descname"><span class="pre">fc</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.fc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_m_Convolution.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.so2_ops.</span></span><span class="sig-name descname"><span class="pre">SO2_Convolution</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_output_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">internal_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_m0_output_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>SO(2) Block: Perform SO(2) convolutions for all m (orders)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>m_output_channels</strong> (<em>int</em>) – Number of output channels used during the SO(2) conv</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>edge_channels_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>mappingReduced</strong> (<a class="reference internal" href="../so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule" title="core.models.equiformer_v2.so3.CoefficientMappingModule"><em>CoefficientMappingModule</em></a>) – Used to extract a subset of m components</p></li>
+<li><p><strong>internal_weights</strong> (<em>bool</em>) – If True, not using radial function to multiply inputs features</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):  List of sizes of invariant edge embedding. For example, [input_channels, hidden_channels, hidden_channels].</p></li>
+<li><p><strong>extra_m0_output_channels</strong> (<em>int</em>) – If not None, return <cite>out_embedding</cite> (SO3_Embedding) and <cite>extra_m0_features</cite> (Tensor).</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.m_output_channels">
+<span class="sig-name descname"><span class="pre">m_output_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.m_output_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.mappingReduced">
+<span class="sig-name descname"><span class="pre">mappingReduced</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.mappingReduced" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.internal_weights">
+<span class="sig-name descname"><span class="pre">internal_weights</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.internal_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.edge_channels_list">
+<span class="sig-name descname"><span class="pre">edge_channels_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.edge_channels_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.extra_m0_output_channels">
+<span class="sig-name descname"><span class="pre">extra_m0_output_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.extra_m0_output_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.fc_m0">
+<span class="sig-name descname"><span class="pre">fc_m0</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.fc_m0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.so2_m_conv">
+<span class="sig-name descname"><span class="pre">so2_m_conv</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.so2_m_conv" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.rad_func">
+<span class="sig-name descname"><span class="pre">rad_func</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.rad_func" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Convolution.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_edge</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.so2_ops.</span></span><span class="sig-name descname"><span class="pre">SO2_Linear</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_output_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">internal_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>SO(2) Linear: Perform SO(2) linear for all m (orders).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>m_output_channels</strong> (<em>int</em>) – Number of output channels used during the SO(2) conv</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>edge_channels_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>mappingReduced</strong> (<a class="reference internal" href="../so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule" title="core.models.equiformer_v2.so3.CoefficientMappingModule"><em>CoefficientMappingModule</em></a>) – Used to extract a subset of m components</p></li>
+<li><p><strong>internal_weights</strong> (<em>bool</em>) – If True, not using radial function to multiply inputs features</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):  List of sizes of invariant edge embedding. For example, [input_channels, hidden_channels, hidden_channels].</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.m_output_channels">
+<span class="sig-name descname"><span class="pre">m_output_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.m_output_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.mappingReduced">
+<span class="sig-name descname"><span class="pre">mappingReduced</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.mappingReduced" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.internal_weights">
+<span class="sig-name descname"><span class="pre">internal_weights</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.internal_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.edge_channels_list">
+<span class="sig-name descname"><span class="pre">edge_channels_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.edge_channels_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.fc_m0">
+<span class="sig-name descname"><span class="pre">fc_m0</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.fc_m0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.so2_m_fc">
+<span class="sig-name descname"><span class="pre">so2_m_fc</span></span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.so2_m_fc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.rad_func">
+<span class="sig-name descname"><span class="pre">rad_func</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.rad_func" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so2_ops.SO2_Linear.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_edge</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+        },
+        predefinedOutput: true
+    }
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+        <p class="prev-next-title">core.models.equiformer_v2.radial_function</p>
+      </div>
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m_output_channels"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.m_output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.fc"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.fc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.forward"><code class="docutils literal notranslate"><span class="pre">SO2_m_Convolution.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.m_output_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.m_output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.mappingReduced"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.internal_weights"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.internal_weights</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.extra_m0_output_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.extra_m0_output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.fc_m0"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.fc_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.so2_m_conv"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.so2_m_conv</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.rad_func"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.rad_func</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Convolution.forward"><code class="docutils literal notranslate"><span class="pre">SO2_Convolution.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear"><code class="docutils literal notranslate"><span class="pre">SO2_Linear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.m_output_channels"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.m_output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.mappingReduced"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.internal_weights"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.internal_weights</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so2_ops.SO2_Linear.fc_m0"><code class="docutils literal notranslate"><span class="pre">SO2_Linear.fc_m0</span></code></a></li>
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+    <h1>core.models.equiformer_v2.so3</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.lmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.mmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.num_resolutions"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.device"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.mask_indices_cache"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.mask_indices_cache</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.rotate_inv_rescale_cache"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.rotate_inv_rescale_cache</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.complex_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.complex_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.coefficient_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.coefficient_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.get_rotate_inv_rescale"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.get_rotate_inv_rescale()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.__repr__"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.__repr__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.num_channels"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.device"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.dtype"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.dtype</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.num_coefficients"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_coefficients</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.clone"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.clone()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.set_embedding"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.set_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.set_lmax_mmax"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.set_lmax_mmax()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._expand_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._expand_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.expand_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.expand_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._reduce_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._reduce_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._m_primary"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._m_primary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._l_primary"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._l_primary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._rotate"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._rotate_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._rotate_inv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._grid_act"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._grid_act()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.to_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.to_grid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._from_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._from_grid()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.mapping"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.set_wigner"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.set_wigner()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.rotate"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.rotate_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.rotate_inv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.RotationToWignerDMatrix"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.RotationToWignerDMatrix()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.mmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.lat_resolution"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lat_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.mapping"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.get_to_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_to_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.get_from_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_from_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.to_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.to_grid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.from_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.from_grid()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear"><code class="docutils literal notranslate"><span class="pre">SO3_Linear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.in_features"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.in_features</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.out_features"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.out_features</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.linear_list"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.linear_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.forward"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.__repr__"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.__repr__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.in_features"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.in_features</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.out_features"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.out_features</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.weight"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.weight</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.bias"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.bias</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.forward"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.__repr__"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.__repr__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.so3">
+<span id="core-models-equiformer-v2-so3"></span><h1>core.models.equiformer_v2.so3<a class="headerlink" href="#module-core.models.equiformer_v2.so3" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.so3.CoefficientMappingModule" title="core.models.equiformer_v2.so3.CoefficientMappingModule"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CoefficientMappingModule</span></code></a></p></td>
+<td><p>Helper module for coefficients used to reshape lval &lt;--&gt; m and to get coefficients of specific degree or order</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.so3.SO3_Embedding" title="core.models.equiformer_v2.so3.SO3_Embedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO3_Embedding</span></code></a></p></td>
+<td><p>Helper functions for performing operations on irreps embedding</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.so3.SO3_Rotation" title="core.models.equiformer_v2.so3.SO3_Rotation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO3_Rotation</span></code></a></p></td>
+<td><p>Helper functions for Wigner-D rotations</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.so3.SO3_Grid" title="core.models.equiformer_v2.so3.SO3_Grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO3_Grid</span></code></a></p></td>
+<td><p>Helper functions for grid representation of the irreps</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.so3.SO3_Linear" title="core.models.equiformer_v2.so3.SO3_Linear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO3_Linear</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.so3.SO3_LinearV2" title="core.models.equiformer_v2.so3.SO3_LinearV2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO3_LinearV2</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.so3.</span></span><span class="sig-name descname"><span class="pre">CoefficientMappingModule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Helper module for coefficients used to reshape lval &lt;–&gt; m and to get coefficients of specific degree or order</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>(</strong><strong>list</strong> (<em>mmax_list</em>) – int):   List of maximum degree of the spherical harmonics</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):   List of maximum order of the spherical harmonics</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.device">
+<span class="sig-name descname"><span class="pre">device</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'cpu'</span></em><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.mask_indices_cache">
+<span class="sig-name descname"><span class="pre">mask_indices_cache</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.mask_indices_cache" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.rotate_inv_rescale_cache">
+<span class="sig-name descname"><span class="pre">rotate_inv_rescale_cache</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.rotate_inv_rescale_cache" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.complex_idx">
+<span class="sig-name descname"><span class="pre">complex_idx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_complex</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">l_harmonic</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.complex_idx" title="Link to this definition">#</a></dt>
+<dd><p>Add <cite>m_complex</cite> and <cite>l_harmonic</cite> to the input arguments
+since we cannot use <cite>self.m_complex</cite>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.coefficient_idx">
+<span class="sig-name descname"><span class="pre">coefficient_idx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.coefficient_idx" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.get_rotate_inv_rescale">
+<span class="sig-name descname"><span class="pre">get_rotate_inv_rescale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.get_rotate_inv_rescale" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.CoefficientMappingModule.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.so3.</span></span><span class="sig-name descname"><span class="pre">SO3_Embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.device</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.dtype</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding" title="Link to this definition">#</a></dt>
+<dd><p>Helper functions for performing operations on irreps embedding</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>length</strong> (<em>int</em>) – Batch size</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>lmax_list</em>) – int):   List of maximum degree of the spherical harmonics</p></li>
+<li><p><strong>num_channels</strong> (<em>int</em>) – Number of channels</p></li>
+<li><p><strong>device</strong> – Device of the output</p></li>
+<li><p><strong>dtype</strong> – type of the output tensors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.device">
+<span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.dtype">
+<span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.dtype" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.num_coefficients">
+<span class="sig-name descname"><span class="pre">num_coefficients</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.num_coefficients" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.clone">
+<span class="sig-name descname"><span class="pre">clone</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#core.models.equiformer_v2.so3.SO3_Embedding" title="core.models.equiformer_v2.so3.SO3_Embedding"><span class="pre">SO3_Embedding</span></a></span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.clone" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.set_embedding">
+<span class="sig-name descname"><span class="pre">set_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">embedding</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.set_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.set_lmax_mmax">
+<span class="sig-name descname"><span class="pre">set_lmax_mmax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.set_lmax_mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding._expand_edge">
+<span class="sig-name descname"><span class="pre">_expand_edge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding._expand_edge" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.expand_edge">
+<span class="sig-name descname"><span class="pre">expand_edge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.expand_edge" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding._reduce_edge">
+<span class="sig-name descname"><span class="pre">_reduce_edge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding._reduce_edge" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding._m_primary">
+<span class="sig-name descname"><span class="pre">_m_primary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mapping</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding._m_primary" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding._l_primary">
+<span class="sig-name descname"><span class="pre">_l_primary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mapping</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding._l_primary" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding._rotate">
+<span class="sig-name descname"><span class="pre">_rotate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SO3_rotation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding._rotate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding._rotate_inv">
+<span class="sig-name descname"><span class="pre">_rotate_inv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SO3_rotation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding._rotate_inv" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding._grid_act">
+<span class="sig-name descname"><span class="pre">_grid_act</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding._grid_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding.to_grid">
+<span class="sig-name descname"><span class="pre">to_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding.to_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Embedding._from_grid">
+<span class="sig-name descname"><span class="pre">_from_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Embedding._from_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Rotation">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.so3.</span></span><span class="sig-name descname"><span class="pre">SO3_Rotation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Rotation" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Helper functions for Wigner-D rotations</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>(</strong><strong>list</strong> (<em>lmax_list</em>) – int):   List of maximum degree of the spherical harmonics</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Rotation.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Rotation.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Rotation.mapping">
+<span class="sig-name descname"><span class="pre">mapping</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Rotation.mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Rotation.set_wigner">
+<span class="sig-name descname"><span class="pre">set_wigner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rot_mat3x3</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Rotation.set_wigner" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Rotation.rotate">
+<span class="sig-name descname"><span class="pre">rotate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">embedding</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Rotation.rotate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Rotation.rotate_inv">
+<span class="sig-name descname"><span class="pre">rotate_inv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">embedding</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">in_lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">in_mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Rotation.rotate_inv" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Rotation.RotationToWignerDMatrix">
+<span class="sig-name descname"><span class="pre">RotationToWignerDMatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_rot_mat</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Rotation.RotationToWignerDMatrix" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Grid">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.so3.</span></span><span class="sig-name descname"><span class="pre">SO3_Grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalization</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'integral'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Grid" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Helper functions for grid representation of the irreps</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lmax</strong> (<em>int</em>) – Maximum degree of the spherical harmonics</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – Maximum order of the spherical harmonics</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Grid.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Grid.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Grid.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Grid.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Grid.lat_resolution">
+<span class="sig-name descname"><span class="pre">lat_resolution</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Grid.lat_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Grid.mapping">
+<span class="sig-name descname"><span class="pre">mapping</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Grid.mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Grid.get_to_grid_mat">
+<span class="sig-name descname"><span class="pre">get_to_grid_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Grid.get_to_grid_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Grid.get_from_grid_mat">
+<span class="sig-name descname"><span class="pre">get_from_grid_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Grid.get_from_grid_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Grid.to_grid">
+<span class="sig-name descname"><span class="pre">to_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">embedding</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Grid.to_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Grid.from_grid">
+<span class="sig-name descname"><span class="pre">from_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Grid.from_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Linear">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.so3.</span></span><span class="sig-name descname"><span class="pre">SO3_Linear</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Linear" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Linear.in_features">
+<span class="sig-name descname"><span class="pre">in_features</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Linear.in_features" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Linear.out_features">
+<span class="sig-name descname"><span class="pre">out_features</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Linear.out_features" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Linear.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Linear.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Linear.linear_list">
+<span class="sig-name descname"><span class="pre">linear_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Linear.linear_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Linear.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_embedding</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_scale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Linear.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_Linear.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_Linear.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_LinearV2">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.so3.</span></span><span class="sig-name descname"><span class="pre">SO3_LinearV2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_LinearV2" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_LinearV2.in_features">
+<span class="sig-name descname"><span class="pre">in_features</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_LinearV2.in_features" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_LinearV2.out_features">
+<span class="sig-name descname"><span class="pre">out_features</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_LinearV2.out_features" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_LinearV2.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_LinearV2.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_LinearV2.weight">
+<span class="sig-name descname"><span class="pre">weight</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_LinearV2.weight" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_LinearV2.bias">
+<span class="sig-name descname"><span class="pre">bias</span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_LinearV2.bias" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_LinearV2.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_embedding</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_LinearV2.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.so3.SO3_LinearV2.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.so3.SO3_LinearV2.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
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+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
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+            path: "./autoapi/core/models/equiformer_v2/so3"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.lmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.mmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.num_resolutions"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.device"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.mask_indices_cache"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.mask_indices_cache</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.rotate_inv_rescale_cache"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.rotate_inv_rescale_cache</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.complex_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.complex_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.coefficient_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.coefficient_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.get_rotate_inv_rescale"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.get_rotate_inv_rescale()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.CoefficientMappingModule.__repr__"><code class="docutils literal notranslate"><span class="pre">CoefficientMappingModule.__repr__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.num_channels"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.device"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.dtype"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.dtype</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.num_coefficients"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_coefficients</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.clone"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.clone()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.set_embedding"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.set_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.set_lmax_mmax"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.set_lmax_mmax()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._expand_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._expand_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.expand_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.expand_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._reduce_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._reduce_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._m_primary"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._m_primary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._l_primary"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._l_primary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._rotate"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._rotate_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._rotate_inv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._grid_act"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._grid_act()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding.to_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.to_grid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Embedding._from_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._from_grid()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.mapping"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.set_wigner"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.set_wigner()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.rotate"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.rotate_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.rotate_inv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Rotation.RotationToWignerDMatrix"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.RotationToWignerDMatrix()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.mmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.lat_resolution"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lat_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.mapping"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.get_to_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_to_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.get_from_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_from_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.to_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.to_grid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Grid.from_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.from_grid()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear"><code class="docutils literal notranslate"><span class="pre">SO3_Linear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.in_features"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.in_features</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.out_features"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.out_features</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.linear_list"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.linear_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.forward"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_Linear.__repr__"><code class="docutils literal notranslate"><span class="pre">SO3_Linear.__repr__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.in_features"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.in_features</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.out_features"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.out_features</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.weight"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.weight</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.bias"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.bias</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.forward"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.so3.SO3_LinearV2.__repr__"><code class="docutils literal notranslate"><span class="pre">SO3_LinearV2.__repr__()</span></code></a></li>
+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>core.models.equiformer_v2.trainers.dens_trainer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.prob"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.fixed_noise_std"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.fixed_noise_std</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.std</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.num_steps"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.num_steps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_low"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.std_low</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_high"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.std_high</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.corrupt_ratio"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.corrupt_ratio</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.all_atoms"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.all_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.denoising_pos_coefficient"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.denoising_pos_coefficient</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_to_position"><code class="docutils literal notranslate"><span class="pre">add_gaussian_noise_to_position()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_schedule_to_position"><code class="docutils literal notranslate"><span class="pre">add_gaussian_noise_schedule_to_position()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.denoising_pos_eval"><code class="docutils literal notranslate"><span class="pre">denoising_pos_eval()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.compute_atomwise_denoising_pos_and_force_hybrid_loss"><code class="docutils literal notranslate"><span class="pre">compute_atomwise_denoising_pos_and_force_hybrid_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.use_denoising_pos"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.use_denoising_pos</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_pos_params"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.denoising_pos_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_targets"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.denoising_targets</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.train"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_loss"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer._compute_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_metrics"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer._compute_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.predict"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.predict()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.trainers.dens_trainer">
+<span id="core-models-equiformer-v2-trainers-dens-trainer"></span><h1>core.models.equiformer_v2.trainers.dens_trainer<a class="headerlink" href="#module-core.models.equiformer_v2.trainers.dens_trainer" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams" title="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DenoisingPosParams</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer" title="core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DenoisingForcesTrainer</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_to_position" title="core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_to_position"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_gaussian_noise_to_position</span></code></a>(batch, std[, ...])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_schedule_to_position" title="core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_schedule_to_position"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_gaussian_noise_schedule_to_position</span></code></a>(batch, ...[, ...])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.dens_trainer.denoising_pos_eval" title="core.models.equiformer_v2.trainers.dens_trainer.denoising_pos_eval"><code class="xref py py-obj docutils literal notranslate"><span class="pre">denoising_pos_eval</span></code></a>(evaluator, prediction, target, ...)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.dens_trainer.compute_atomwise_denoising_pos_and_force_hybrid_loss" title="core.models.equiformer_v2.trainers.dens_trainer.compute_atomwise_denoising_pos_and_force_hybrid_loss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_atomwise_denoising_pos_and_force_hybrid_loss</span></code></a>(...)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.dens_trainer.</span></span><span class="sig-name descname"><span class="pre">DenoisingPosParams</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.prob">
+<span class="sig-name descname"><span class="pre">prob</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0.0</span></em><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.prob" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.fixed_noise_std">
+<span class="sig-name descname"><span class="pre">fixed_noise_std</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.fixed_noise_std" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std">
+<span class="sig-name descname"><span class="pre">std</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.num_steps">
+<span class="sig-name descname"><span class="pre">num_steps</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.num_steps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_low">
+<span class="sig-name descname"><span class="pre">std_low</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_low" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_high">
+<span class="sig-name descname"><span class="pre">std_high</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_high" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.corrupt_ratio">
+<span class="sig-name descname"><span class="pre">corrupt_ratio</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.corrupt_ratio" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.all_atoms">
+<span class="sig-name descname"><span class="pre">all_atoms</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.all_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.denoising_pos_coefficient">
+<span class="sig-name descname"><span class="pre">denoising_pos_coefficient</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.denoising_pos_coefficient" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_to_position">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.dens_trainer.</span></span><span class="sig-name descname"><span class="pre">add_gaussian_noise_to_position</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">corrupt_ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">all_atoms</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_to_position" title="Link to this definition">#</a></dt>
+<dd><ol class="arabic simple">
+<li><p>Update <cite>pos</cite> in <cite>batch</cite>.</p></li>
+<li><p>Add <cite>noise_vec</cite> to <cite>batch</cite>, which will serve as the target for denoising positions.</p></li>
+<li><p>Add <cite>denoising_pos_forward</cite> to switch to denoising mode during training.</p></li>
+<li><p>Add <cite>noise_mask</cite> for partially corrupted structures when <cite>corrupt_ratio</cite> is not None.</p></li>
+<li><p>If <cite>all_atoms</cite> == True, we add noise to all atoms including fixed ones.</p></li>
+<li><p>Check whether <cite>batch</cite> has <cite>md</cite>. We do not add noise to structures from MD split.</p></li>
+</ol>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_schedule_to_position">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.dens_trainer.</span></span><span class="sig-name descname"><span class="pre">add_gaussian_noise_schedule_to_position</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std_low</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std_high</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_steps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">corrupt_ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">all_atoms</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_schedule_to_position" title="Link to this definition">#</a></dt>
+<dd><ol class="arabic simple">
+<li><p>Similar to above, update positions in batch with gaussian noise, but
+additionally, also save the sigmas the noise vectors are sampled from.</p></li>
+<li><p>Add <cite>noise_mask</cite> for partially corrupted structures when <cite>corrupt_ratio</cite>
+is not None.</p></li>
+<li><p>If <cite>all_atoms</cite> == True, we add noise to all atoms including fixed ones.</p></li>
+<li><p>Check whether <cite>batch</cite> has <cite>md</cite>. We do not add noise to structures from MD split.</p></li>
+</ol>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.denoising_pos_eval">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.dens_trainer.</span></span><span class="sig-name descname"><span class="pre">denoising_pos_eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">evaluator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.modules.evaluator.Evaluator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denoising_targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prev_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denoising_pos_forward</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.denoising_pos_eval" title="Link to this definition">#</a></dt>
+<dd><ol class="arabic simple">
+<li><p>Overwrite the original Evaluator.eval() here: <a class="github reference external" href="https://github.com/Open-Catalyst-Project/ocp/blob/5a7738f9aa80b1a9a7e0ca15e33938b4d2557edd/ocpmodels/modules/evaluator.py#L69-L81">Open-Catalyst-Project/ocp</a></p></li>
+<li><p>This is to make sure we separate forces MAE and denoising positions MAE.</p></li>
+</ol>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.compute_atomwise_denoising_pos_and_force_hybrid_loss">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.dens_trainer.</span></span><span class="sig-name descname"><span class="pre">compute_atomwise_denoising_pos_and_force_hybrid_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pred</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_mult</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denoising_pos_mult</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.compute_atomwise_denoising_pos_and_force_hybrid_loss" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.dens_trainer.</span></span><span class="sig-name descname"><span class="pre">DenoisingForcesTrainer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluation_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">identifier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_debug</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_every</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'wandb'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">amp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'ocp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slurm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gp_gpus</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="../forces_trainer/index.html#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer" title="core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer</span></code></a></p>
+<ol class="arabic simple">
+<li><p>We add a denoising objective to the original S2EF task.</p></li>
+<li><p>The denoising objective is that we take as input
+atom types, node-wise forces and 3D coordinates perturbed with Gaussian noises and then
+output energy of the original structure (3D coordinates without any perturbation) and
+the node-wise noises added to the original structure.</p></li>
+<li><p>This should make models leverage more from training data and enable data augmentation for
+the S2EF task.</p></li>
+<li><p>We should only modify the training part.</p></li>
+<li><p>For normalizing the outputs of noise prediction, if we use <cite>fixed_noise_std = True</cite>, we use
+<cite>std</cite> for the normalization factor. Otherwise, we use <cite>std_high</cite> when <cite>fixed_noise_std = False</cite>.</p></li>
+</ol>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>task</strong> (<em>dict</em>) – Task configuration.</p></li>
+<li><p><strong>model</strong> (<em>dict</em>) – Model configuration.</p></li>
+<li><p><strong>outputs</strong> (<em>dict</em>) – Dictionary of model output configuration.</p></li>
+<li><p><strong>dataset</strong> (<em>dict</em>) – Dataset configuration. The dataset needs to be a SinglePointLMDB dataset.</p></li>
+<li><p><strong>optimizer</strong> (<em>dict</em>) – Optimizer configuration.</p></li>
+<li><p><strong>loss_functions</strong> (<em>dict</em>) – Loss function configuration.</p></li>
+<li><p><strong>evaluation_metrics</strong> (<em>dict</em>) – Evaluation metrics configuration.</p></li>
+<li><p><strong>identifier</strong> (<em>str</em>) – Experiment identifier that is appended to log directory.</p></li>
+<li><p><strong>run_dir</strong> (<em>str</em><em>, </em><em>optional</em>) – Path to the run directory where logs are to be saved.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>timestamp_id</strong> (<em>str</em><em>, </em><em>optional</em>) – timestamp identifier.</p></li>
+<li><p><strong>run_dir</strong> – Run directory used to save checkpoints and results.</p></li>
+<li><p><strong>is_debug</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run in debug mode.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>print_every</strong> (<em>int</em><em>, </em><em>optional</em>) – Frequency of printing logs.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">100</span></code>)</p></li>
+<li><p><strong>seed</strong> (<em>int</em><em>, </em><em>optional</em>) – Random number seed.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>logger</strong> (<em>str</em><em>, </em><em>optional</em>) – Type of logger to be used.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">wandb</span></code>)</p></li>
+<li><p><strong>local_rank</strong> (<em>int</em><em>, </em><em>optional</em>) – Local rank of the process, only applicable for distributed training.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">0</span></code>)</p></li>
+<li><p><strong>amp</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run using automatic mixed precision.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>cpu</strong> (<em>bool</em>) – If True will run on CPU. Default is False, will attempt to use cuda.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Trainer name.</p></li>
+<li><p><strong>slurm</strong> (<em>dict</em>) – Slurm configuration. Currently just for keeping track.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">{}</span></code>)</p></li>
+<li><p><strong>gp_gpus</strong> (<em>int</em><em>, </em><em>optional</em>) – Number of graph parallel GPUs.</p></li>
+<li><p><strong>inference_only</strong> (<em>bool</em>) – If true trainer will be loaded for inference only.
+(ie datasets, optimizer, schedular, etc, will not be instantiated)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.use_denoising_pos">
+<span class="sig-name descname"><span class="pre">use_denoising_pos</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.use_denoising_pos" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_pos_params">
+<span class="sig-name descname"><span class="pre">denoising_pos_params</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_pos_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_targets">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">denoising_targets</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_targets" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.train">
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disable_eval_tqdm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.train" title="Link to this definition">#</a></dt>
+<dd><p>Run model training iterations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_loss">
+<span class="sig-name descname"><span class="pre">_compute_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_loss" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_metrics">
+<span class="sig-name descname"><span class="pre">_compute_metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_metrics" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_loader</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">per_image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.predict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.prob"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.prob</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.fixed_noise_std"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.fixed_noise_std</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.std</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.num_steps"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.num_steps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_low"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.std_low</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_high"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.std_high</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.corrupt_ratio"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.corrupt_ratio</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.all_atoms"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.all_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.denoising_pos_coefficient"><code class="docutils literal notranslate"><span class="pre">DenoisingPosParams.denoising_pos_coefficient</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_to_position"><code class="docutils literal notranslate"><span class="pre">add_gaussian_noise_to_position()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_schedule_to_position"><code class="docutils literal notranslate"><span class="pre">add_gaussian_noise_schedule_to_position()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.denoising_pos_eval"><code class="docutils literal notranslate"><span class="pre">denoising_pos_eval()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.compute_atomwise_denoising_pos_and_force_hybrid_loss"><code class="docutils literal notranslate"><span class="pre">compute_atomwise_denoising_pos_and_force_hybrid_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.use_denoising_pos"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.use_denoising_pos</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_pos_params"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.denoising_pos_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_targets"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.denoising_targets</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.train"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_loss"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer._compute_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_metrics"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer._compute_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.predict"><code class="docutils literal notranslate"><span class="pre">DenoisingForcesTrainer.predict()</span></code></a></li>
+</ul>
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+    <h1>core.models.equiformer_v2.trainers.energy_trainer</h1>
+    <!-- Table of contents -->
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer"><code class="docutils literal notranslate"><span class="pre">EquiformerV2EnergyTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer.load_extras"><code class="docutils literal notranslate"><span class="pre">EquiformerV2EnergyTrainer.load_extras()</span></code></a></li>
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+  <section id="module-core.models.equiformer_v2.trainers.energy_trainer">
+<span id="core-models-equiformer-v2-trainers-energy-trainer"></span><h1>core.models.equiformer_v2.trainers.energy_trainer<a class="headerlink" href="#module-core.models.equiformer_v2.trainers.energy_trainer" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer" title="core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquiformerV2EnergyTrainer</span></code></a></p></td>
+<td><p>Trainer class for the Structure to Energy &amp; Force (S2EF) and Initial State to</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.energy_trainer.</span></span><span class="sig-name descname"><span class="pre">EquiformerV2EnergyTrainer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluation_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">identifier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_debug</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_every</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'wandb'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">amp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'ocp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slurm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gp_gpus</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.trainers.OCPTrainer</span></code></p>
+<p>Trainer class for the Structure to Energy &amp; Force (S2EF) and Initial State to
+Relaxed State (IS2RS) tasks.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Examples of configurations for task, model, dataset and optimizer
+can be found in <a class="reference external" href="https://github.com/Open-Catalyst-Project/baselines/tree/master/configs/ocp_is2re/">configs/ocp_s2ef</a>
+and <a class="reference external" href="https://github.com/Open-Catalyst-Project/baselines/tree/master/configs/ocp_is2rs/">configs/ocp_is2rs</a>.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>task</strong> (<em>dict</em>) – Task configuration.</p></li>
+<li><p><strong>model</strong> (<em>dict</em>) – Model configuration.</p></li>
+<li><p><strong>outputs</strong> (<em>dict</em>) – Dictionary of model output configuration.</p></li>
+<li><p><strong>dataset</strong> (<em>dict</em>) – Dataset configuration. The dataset needs to be a SinglePointLMDB dataset.</p></li>
+<li><p><strong>optimizer</strong> (<em>dict</em>) – Optimizer configuration.</p></li>
+<li><p><strong>loss_functions</strong> (<em>dict</em>) – Loss function configuration.</p></li>
+<li><p><strong>evaluation_metrics</strong> (<em>dict</em>) – Evaluation metrics configuration.</p></li>
+<li><p><strong>identifier</strong> (<em>str</em>) – Experiment identifier that is appended to log directory.</p></li>
+<li><p><strong>run_dir</strong> (<em>str</em><em>, </em><em>optional</em>) – Path to the run directory where logs are to be saved.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>timestamp_id</strong> (<em>str</em><em>, </em><em>optional</em>) – timestamp identifier.</p></li>
+<li><p><strong>run_dir</strong> – Run directory used to save checkpoints and results.</p></li>
+<li><p><strong>is_debug</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run in debug mode.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>print_every</strong> (<em>int</em><em>, </em><em>optional</em>) – Frequency of printing logs.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">100</span></code>)</p></li>
+<li><p><strong>seed</strong> (<em>int</em><em>, </em><em>optional</em>) – Random number seed.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>logger</strong> (<em>str</em><em>, </em><em>optional</em>) – Type of logger to be used.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">wandb</span></code>)</p></li>
+<li><p><strong>local_rank</strong> (<em>int</em><em>, </em><em>optional</em>) – Local rank of the process, only applicable for distributed training.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">0</span></code>)</p></li>
+<li><p><strong>amp</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run using automatic mixed precision.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>cpu</strong> (<em>bool</em>) – If True will run on CPU. Default is False, will attempt to use cuda.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Trainer name.</p></li>
+<li><p><strong>slurm</strong> (<em>dict</em>) – Slurm configuration. Currently just for keeping track.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">{}</span></code>)</p></li>
+<li><p><strong>gp_gpus</strong> (<em>int</em><em>, </em><em>optional</em>) – Number of graph parallel GPUs.</p></li>
+<li><p><strong>inference_only</strong> (<em>bool</em>) – If true trainer will be loaded for inference only.
+(ie datasets, optimizer, schedular, etc, will not be instantiated)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer.load_extras">
+<span class="sig-name descname"><span class="pre">load_extras</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer.load_extras" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer"><code class="docutils literal notranslate"><span class="pre">EquiformerV2EnergyTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer.load_extras"><code class="docutils literal notranslate"><span class="pre">EquiformerV2EnergyTrainer.load_extras()</span></code></a></li>
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+    <h1>core.models.equiformer_v2.trainers.forces_trainer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer"><code class="docutils literal notranslate"><span class="pre">EquiformerV2ForcesTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer.load_extras"><code class="docutils literal notranslate"><span class="pre">EquiformerV2ForcesTrainer.load_extras()</span></code></a></li>
+</ul>
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+                  
+  <section id="module-core.models.equiformer_v2.trainers.forces_trainer">
+<span id="core-models-equiformer-v2-trainers-forces-trainer"></span><h1>core.models.equiformer_v2.trainers.forces_trainer<a class="headerlink" href="#module-core.models.equiformer_v2.trainers.forces_trainer" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer" title="core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EquiformerV2ForcesTrainer</span></code></a></p></td>
+<td><p>Trainer class for the Structure to Energy &amp; Force (S2EF) and Initial State to</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.forces_trainer.</span></span><span class="sig-name descname"><span class="pre">EquiformerV2ForcesTrainer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluation_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">identifier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_debug</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_every</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'wandb'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">amp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'ocp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slurm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gp_gpus</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.trainers.OCPTrainer</span></code></p>
+<p>Trainer class for the Structure to Energy &amp; Force (S2EF) and Initial State to
+Relaxed State (IS2RS) tasks.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Examples of configurations for task, model, dataset and optimizer
+can be found in <a class="reference external" href="https://github.com/Open-Catalyst-Project/baselines/tree/master/configs/ocp_is2re/">configs/ocp_s2ef</a>
+and <a class="reference external" href="https://github.com/Open-Catalyst-Project/baselines/tree/master/configs/ocp_is2rs/">configs/ocp_is2rs</a>.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>task</strong> (<em>dict</em>) – Task configuration.</p></li>
+<li><p><strong>model</strong> (<em>dict</em>) – Model configuration.</p></li>
+<li><p><strong>outputs</strong> (<em>dict</em>) – Dictionary of model output configuration.</p></li>
+<li><p><strong>dataset</strong> (<em>dict</em>) – Dataset configuration. The dataset needs to be a SinglePointLMDB dataset.</p></li>
+<li><p><strong>optimizer</strong> (<em>dict</em>) – Optimizer configuration.</p></li>
+<li><p><strong>loss_functions</strong> (<em>dict</em>) – Loss function configuration.</p></li>
+<li><p><strong>evaluation_metrics</strong> (<em>dict</em>) – Evaluation metrics configuration.</p></li>
+<li><p><strong>identifier</strong> (<em>str</em>) – Experiment identifier that is appended to log directory.</p></li>
+<li><p><strong>run_dir</strong> (<em>str</em><em>, </em><em>optional</em>) – Path to the run directory where logs are to be saved.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>timestamp_id</strong> (<em>str</em><em>, </em><em>optional</em>) – timestamp identifier.</p></li>
+<li><p><strong>run_dir</strong> – Run directory used to save checkpoints and results.</p></li>
+<li><p><strong>is_debug</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run in debug mode.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>print_every</strong> (<em>int</em><em>, </em><em>optional</em>) – Frequency of printing logs.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">100</span></code>)</p></li>
+<li><p><strong>seed</strong> (<em>int</em><em>, </em><em>optional</em>) – Random number seed.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>logger</strong> (<em>str</em><em>, </em><em>optional</em>) – Type of logger to be used.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">wandb</span></code>)</p></li>
+<li><p><strong>local_rank</strong> (<em>int</em><em>, </em><em>optional</em>) – Local rank of the process, only applicable for distributed training.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">0</span></code>)</p></li>
+<li><p><strong>amp</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run using automatic mixed precision.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>cpu</strong> (<em>bool</em>) – If True will run on CPU. Default is False, will attempt to use cuda.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Trainer name.</p></li>
+<li><p><strong>slurm</strong> (<em>dict</em>) – Slurm configuration. Currently just for keeping track.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">{}</span></code>)</p></li>
+<li><p><strong>gp_gpus</strong> (<em>int</em><em>, </em><em>optional</em>) – Number of graph parallel GPUs.</p></li>
+<li><p><strong>inference_only</strong> (<em>bool</em>) – If true trainer will be loaded for inference only.
+(ie datasets, optimizer, schedular, etc, will not be instantiated)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer.load_extras">
+<span class="sig-name descname"><span class="pre">load_extras</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer.load_extras" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer"><code class="docutils literal notranslate"><span class="pre">EquiformerV2ForcesTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer.load_extras"><code class="docutils literal notranslate"><span class="pre">EquiformerV2ForcesTrainer.load_extras()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.multiply"><code class="docutils literal notranslate"><span class="pre">multiply()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.cosine_lr_lambda"><code class="docutils literal notranslate"><span class="pre">cosine_lr_lambda()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.warmup_epochs"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.warmup_epochs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_warmup_factor"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.lr_warmup_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.max_epochs"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.max_epochs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_min_factor"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.lr_min_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.__call__"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.multistep_lr_lambda"><code class="docutils literal notranslate"><span class="pre">multistep_lr_lambda()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.warmup_epochs"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.warmup_epochs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_warmup_factor"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.lr_warmup_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_decay_epochs"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.lr_decay_epochs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_gamma"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.lr_gamma</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.__call__"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler"><code class="docutils literal notranslate"><span class="pre">LRScheduler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.optimizer"><code class="docutils literal notranslate"><span class="pre">LRScheduler.optimizer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.config"><code class="docutils literal notranslate"><span class="pre">LRScheduler.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_type"><code class="docutils literal notranslate"><span class="pre">LRScheduler.scheduler_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_params"><code class="docutils literal notranslate"><span class="pre">LRScheduler.scheduler_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.step"><code class="docutils literal notranslate"><span class="pre">LRScheduler.step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.filter_kwargs"><code class="docutils literal notranslate"><span class="pre">LRScheduler.filter_kwargs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.get_lr"><code class="docutils literal notranslate"><span class="pre">LRScheduler.get_lr()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.trainers.lr_scheduler">
+<span id="core-models-equiformer-v2-trainers-lr-scheduler"></span><h1>core.models.equiformer_v2.trainers.lr_scheduler<a class="headerlink" href="#module-core.models.equiformer_v2.trainers.lr_scheduler" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda" title="core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CosineLRLambda</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda" title="core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MultistepLRLambda</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler" title="core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LRScheduler</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.lr_scheduler.multiply" title="core.models.equiformer_v2.trainers.lr_scheduler.multiply"><code class="xref py py-obj docutils literal notranslate"><span class="pre">multiply</span></code></a>(obj, num)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.lr_scheduler.cosine_lr_lambda" title="core.models.equiformer_v2.trainers.lr_scheduler.cosine_lr_lambda"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cosine_lr_lambda</span></code></a>(current_step, scheduler_params)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.trainers.lr_scheduler.multistep_lr_lambda" title="core.models.equiformer_v2.trainers.lr_scheduler.multistep_lr_lambda"><code class="xref py py-obj docutils literal notranslate"><span class="pre">multistep_lr_lambda</span></code></a>(→ float)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.multiply">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.lr_scheduler.</span></span><span class="sig-name descname"><span class="pre">multiply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.multiply" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.cosine_lr_lambda">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.lr_scheduler.</span></span><span class="sig-name descname"><span class="pre">cosine_lr_lambda</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">current_step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scheduler_params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.cosine_lr_lambda" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.lr_scheduler.</span></span><span class="sig-name descname"><span class="pre">CosineLRLambda</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scheduler_params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.warmup_epochs">
+<span class="sig-name descname"><span class="pre">warmup_epochs</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.warmup_epochs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_warmup_factor">
+<span class="sig-name descname"><span class="pre">lr_warmup_factor</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_warmup_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.max_epochs">
+<span class="sig-name descname"><span class="pre">max_epochs</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.max_epochs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_min_factor">
+<span class="sig-name descname"><span class="pre">lr_min_factor</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_min_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">current_step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.multistep_lr_lambda">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.lr_scheduler.</span></span><span class="sig-name descname"><span class="pre">multistep_lr_lambda</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">current_step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scheduler_params</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.multistep_lr_lambda" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.lr_scheduler.</span></span><span class="sig-name descname"><span class="pre">MultistepLRLambda</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scheduler_params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.warmup_epochs">
+<span class="sig-name descname"><span class="pre">warmup_epochs</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.warmup_epochs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_warmup_factor">
+<span class="sig-name descname"><span class="pre">lr_warmup_factor</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_warmup_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_decay_epochs">
+<span class="sig-name descname"><span class="pre">lr_decay_epochs</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_decay_epochs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_gamma">
+<span class="sig-name descname"><span class="pre">lr_gamma</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_gamma" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">current_step</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.trainers.lr_scheduler.</span></span><span class="sig-name descname"><span class="pre">LRScheduler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler" title="Link to this definition">#</a></dt>
+<dd><p class="rubric">Notes</p>
+<ol class="arabic">
+<li><p>scheduler.step() is called for every step for OC20 training.</p></li>
+<li><p>We use “scheduler_params” in .yml to specify scheduler parameters.</p></li>
+<li><dl>
+<dt>For cosine learning rate, we use LambdaLR with lambda function being cosine:</dt><dd><p>scheduler: LambdaLR
+scheduler_params:</p>
+<blockquote>
+<div><p>lambda_type: cosine
+…</p>
+</div></blockquote>
+</dd>
+</dl>
+</li>
+<li><dl>
+<dt>Following 3., if <cite>cosine</cite> is used, <cite>scheduler_params</cite> in .yml looks like:</dt><dd><p>scheduler: LambdaLR
+scheduler_params:</p>
+<blockquote>
+<div><p>lambda_type: cosine
+warmup_epochs: …
+warmup_factor: …
+lr_min_factor: …</p>
+</div></blockquote>
+</dd>
+</dl>
+</li>
+<li><dl>
+<dt>Following 3., if <cite>multistep</cite> is used, <cite>scheduler_params</cite> in .yml looks like:</dt><dd><p>scheduler: LambdaLR
+scheduler_params:</p>
+<blockquote>
+<div><p>lambda_type: multistep
+warmup_epochs: …
+warmup_factor: …
+decay_epochs: … (list)
+decay_rate: …</p>
+</div></blockquote>
+</dd>
+</dl>
+</li>
+</ol>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>optimizer</strong> (<em>obj</em>) – torch optim object</p></li>
+<li><p><strong>config</strong> (<em>dict</em>) – Optim dict from the input config</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.optimizer">
+<span class="sig-name descname"><span class="pre">optimizer</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.optimizer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_type">
+<span class="sig-name descname"><span class="pre">scheduler_type</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_type" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_params">
+<span class="sig-name descname"><span class="pre">scheduler_params</span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.step">
+<span class="sig-name descname"><span class="pre">step</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.step" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.filter_kwargs">
+<span class="sig-name descname"><span class="pre">filter_kwargs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.filter_kwargs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.get_lr">
+<span class="sig-name descname"><span class="pre">get_lr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.get_lr" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.multiply"><code class="docutils literal notranslate"><span class="pre">multiply()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.cosine_lr_lambda"><code class="docutils literal notranslate"><span class="pre">cosine_lr_lambda()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.warmup_epochs"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.warmup_epochs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_warmup_factor"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.lr_warmup_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.max_epochs"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.max_epochs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_min_factor"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.lr_min_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.__call__"><code class="docutils literal notranslate"><span class="pre">CosineLRLambda.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.multistep_lr_lambda"><code class="docutils literal notranslate"><span class="pre">multistep_lr_lambda()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.warmup_epochs"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.warmup_epochs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_warmup_factor"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.lr_warmup_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_decay_epochs"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.lr_decay_epochs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_gamma"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.lr_gamma</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.__call__"><code class="docutils literal notranslate"><span class="pre">MultistepLRLambda.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler"><code class="docutils literal notranslate"><span class="pre">LRScheduler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.optimizer"><code class="docutils literal notranslate"><span class="pre">LRScheduler.optimizer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.config"><code class="docutils literal notranslate"><span class="pre">LRScheduler.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_type"><code class="docutils literal notranslate"><span class="pre">LRScheduler.scheduler_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_params"><code class="docutils literal notranslate"><span class="pre">LRScheduler.scheduler_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.step"><code class="docutils literal notranslate"><span class="pre">LRScheduler.step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.filter_kwargs"><code class="docutils literal notranslate"><span class="pre">LRScheduler.filter_kwargs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.get_lr"><code class="docutils literal notranslate"><span class="pre">LRScheduler.get_lr()</span></code></a></li>
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+    <h1>core.models.equiformer_v2.transformer_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_heads"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.num_heads</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_alpha_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.attn_alpha_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_value_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.attn_value_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.output_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mappingReduced"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_grid"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.max_num_elements"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_m_share_rad"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_m_share_rad</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_s2_act_attn"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_s2_act_attn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_attn_renorm"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_attn_renorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_gate_act"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_1"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.so2_conv_1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.alpha_dropout"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.alpha_dropout</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_2"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.so2_conv_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.proj"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.forward"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.hidden_channels"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.output_channels"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.lmax_list"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.mmax_list"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.num_resolutions"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.SO3_grid"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_gate_act"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_grid_mlp"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.use_grid_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.max_lmax"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.max_lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_1"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.so3_linear_1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_2"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.so3_linear_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.forward"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2"><code class="docutils literal notranslate"><span class="pre">TransBlockV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.norm_1"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.norm_1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.ga"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.ga</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.drop_path"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.drop_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.proj_drop"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.proj_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.norm_2"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.norm_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.ffn"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.ffn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.forward"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.transformer_block">
+<span id="core-models-equiformer-v2-transformer-block"></span><h1>core.models.equiformer_v2.transformer_block<a class="headerlink" href="#module-core.models.equiformer_v2.transformer_block" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention" title="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention</span></code></a></p></td>
+<td><p>SO2EquivariantGraphAttention: Perform MLP attention + non-linear message passing</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork" title="core.models.equiformer_v2.transformer_block.FeedForwardNetwork"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FeedForwardNetwork</span></code></a></p></td>
+<td><p>FeedForwardNetwork: Perform feedforward network with S2 activation or gate activation</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.transformer_block.TransBlockV2" title="core.models.equiformer_v2.transformer_block.TransBlockV2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TransBlockV2</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.transformer_block.</span></span><span class="sig-name descname"><span class="pre">SO2EquivariantGraphAttention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_alpha_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_value_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_rotation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_m_share_rad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_s2_act_attn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_attn_renorm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gate_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_sep_s2_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<dl class="simple">
+<dt>SO2EquivariantGraphAttention: Perform MLP attention + non-linear message passing</dt><dd><p>SO(2) Convolution with radial function -&gt; S2 Activation -&gt; SO(2) Convolution -&gt; attention weights and non-linear messages
+attention weights * non-linear messages -&gt; Linear</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during the SO(2) conv</p></li>
+<li><p><strong>num_heads</strong> (<em>int</em>) – Number of attention heads</p></li>
+<li><p><strong>attn_alpha_head</strong> (<em>int</em>) – Number of channels for alpha vector in each attention head</p></li>
+<li><p><strong>attn_value_head</strong> (<em>int</em>) – Number of channels for value vector in each attention head</p></li>
+<li><p><strong>output_channels</strong> (<em>int</em>) – Number of output channels</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>edge_channels_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – SO3_Rotation): Class to calculate Wigner-D matrices and rotate embeddings</p></li>
+<li><p><strong>mappingReduced</strong> (<a class="reference internal" href="../so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule" title="core.models.equiformer_v2.so3.CoefficientMappingModule"><em>CoefficientMappingModule</em></a>) – Class to convert l and m indices once node embedding is rotated</p></li>
+<li><p><strong>SO3_grid</strong> (<em>SO3_grid</em>) – Class used to convert from grid the spherical harmonic representations</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum number of atomic numbers</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):  List of sizes of invariant edge embedding. For example, [input_channels, hidden_channels, hidden_channels].
+The last one will be used as hidden size when <cite>use_atom_edge_embedding</cite> is <cite>True</cite>.</p></li>
+<li><p><strong>use_atom_edge_embedding</strong> (<em>bool</em>) – Whether to use atomic embedding along with relative distance for edge scalar features</p></li>
+<li><p><strong>use_m_share_rad</strong> (<em>bool</em>) – Whether all m components within a type-L vector of one channel share radial function weights</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Type of activation function</p></li>
+<li><p><strong>use_s2_act_attn</strong> (<em>bool</em>) – Whether to use attention after S2 activation. Otherwise, use the same attention as Equiformer</p></li>
+<li><p><strong>use_attn_renorm</strong> (<em>bool</em>) – Whether to re-normalize attention weights</p></li>
+<li><p><strong>use_gate_act</strong> (<em>bool</em>) – If <cite>True</cite>, use gate activation. Otherwise, use S2 activation.</p></li>
+<li><p><strong>use_sep_s2_act</strong> (<em>bool</em>) – If <cite>True</cite>, use separable S2 activation when <cite>use_gate_act</cite> is False.</p></li>
+<li><p><strong>alpha_drop</strong> (<em>float</em>) – Dropout rate for attention weights</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_heads">
+<span class="sig-name descname"><span class="pre">num_heads</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_heads" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_alpha_channels">
+<span class="sig-name descname"><span class="pre">attn_alpha_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_alpha_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_value_channels">
+<span class="sig-name descname"><span class="pre">attn_value_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_value_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.output_channels">
+<span class="sig-name descname"><span class="pre">output_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.output_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_rotation">
+<span class="sig-name descname"><span class="pre">SO3_rotation</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_rotation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mappingReduced">
+<span class="sig-name descname"><span class="pre">mappingReduced</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mappingReduced" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.edge_channels_list">
+<span class="sig-name descname"><span class="pre">edge_channels_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.edge_channels_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_atom_edge_embedding">
+<span class="sig-name descname"><span class="pre">use_atom_edge_embedding</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_atom_edge_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_m_share_rad">
+<span class="sig-name descname"><span class="pre">use_m_share_rad</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_m_share_rad" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_s2_act_attn">
+<span class="sig-name descname"><span class="pre">use_s2_act_attn</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_s2_act_attn" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_attn_renorm">
+<span class="sig-name descname"><span class="pre">use_attn_renorm</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_attn_renorm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_gate_act">
+<span class="sig-name descname"><span class="pre">use_gate_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_gate_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_sep_s2_act">
+<span class="sig-name descname"><span class="pre">use_sep_s2_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_sep_s2_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_1">
+<span class="sig-name descname"><span class="pre">so2_conv_1</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.alpha_dropout">
+<span class="sig-name descname"><span class="pre">alpha_dropout</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.alpha_dropout" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_2">
+<span class="sig-name descname"><span class="pre">so2_conv_2</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.proj">
+<span class="sig-name descname"><span class="pre">proj</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.proj" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atomic_numbers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">node_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.transformer_block.</span></span><span class="sig-name descname"><span class="pre">FeedForwardNetwork</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'scaled_silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gate_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_grid_mlp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_sep_s2_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>FeedForwardNetwork: Perform feedforward network with S2 activation or gate activation</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during feedforward network</p></li>
+<li><p><strong>output_channels</strong> (<em>int</em>) – Number of output channels</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>mmax_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>SO3_grid</strong> (<em>SO3_grid</em>) – Class used to convert from grid the spherical harmonic representations</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Type of activation function</p></li>
+<li><p><strong>use_gate_act</strong> (<em>bool</em>) – If <cite>True</cite>, use gate activation. Otherwise, use S2 activation</p></li>
+<li><p><strong>use_grid_mlp</strong> (<em>bool</em>) – If <cite>True</cite>, use projecting to grids and performing MLPs.</p></li>
+<li><p><strong>use_sep_s2_act</strong> (<em>bool</em>) – If <cite>True</cite>, use separable grid MLP when <cite>use_grid_mlp</cite> is True.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.output_channels">
+<span class="sig-name descname"><span class="pre">output_channels</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.output_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels_all">
+<span class="sig-name descname"><span class="pre">sphere_channels_all</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels_all" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_gate_act">
+<span class="sig-name descname"><span class="pre">use_gate_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_gate_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_grid_mlp">
+<span class="sig-name descname"><span class="pre">use_grid_mlp</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_grid_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_sep_s2_act">
+<span class="sig-name descname"><span class="pre">use_sep_s2_act</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_sep_s2_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.max_lmax">
+<span class="sig-name descname"><span class="pre">max_lmax</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.max_lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_1">
+<span class="sig-name descname"><span class="pre">so3_linear_1</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_2">
+<span class="sig-name descname"><span class="pre">so3_linear_2</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.FeedForwardNetwork.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_embedding</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.TransBlockV2">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.transformer_block.</span></span><span class="sig-name descname"><span class="pre">TransBlockV2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_heads</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_alpha_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_value_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_rotation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_atom_edge_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_m_share_rad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_s2_act_attn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_attn_renorm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ffn_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gate_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_grid_mlp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_sep_s2_act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rms_norm_sh'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_path_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proj_drop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.TransBlockV2" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>attn_hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during SO(2) graph attention</p></li>
+<li><p><strong>num_heads</strong> (<em>int</em>) – Number of attention heads</p></li>
+<li><p><strong>attn_alpha_head</strong> (<em>int</em>) – Number of channels for alpha vector in each attention head</p></li>
+<li><p><strong>attn_value_head</strong> (<em>int</em>) – Number of channels for value vector in each attention head</p></li>
+<li><p><strong>ffn_hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during feedforward network</p></li>
+<li><p><strong>output_channels</strong> (<em>int</em>) – Number of output channels</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>edge_channels_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – SO3_Rotation): Class to calculate Wigner-D matrices and rotate embeddings</p></li>
+<li><p><strong>mappingReduced</strong> (<a class="reference internal" href="../so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule" title="core.models.equiformer_v2.so3.CoefficientMappingModule"><em>CoefficientMappingModule</em></a>) – Class to convert l and m indices once node embedding is rotated</p></li>
+<li><p><strong>SO3_grid</strong> (<em>SO3_grid</em>) – Class used to convert from grid the spherical harmonic representations</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum number of atomic numbers</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):  List of sizes of invariant edge embedding. For example, [input_channels, hidden_channels, hidden_channels].
+The last one will be used as hidden size when <cite>use_atom_edge_embedding</cite> is <cite>True</cite>.</p></li>
+<li><p><strong>use_atom_edge_embedding</strong> (<em>bool</em>) – Whether to use atomic embedding along with relative distance for edge scalar features</p></li>
+<li><p><strong>use_m_share_rad</strong> (<em>bool</em>) – Whether all m components within a type-L vector of one channel share radial function weights</p></li>
+<li><p><strong>attn_activation</strong> (<em>str</em>) – Type of activation function for SO(2) graph attention</p></li>
+<li><p><strong>use_s2_act_attn</strong> (<em>bool</em>) – Whether to use attention after S2 activation. Otherwise, use the same attention as Equiformer</p></li>
+<li><p><strong>use_attn_renorm</strong> (<em>bool</em>) – Whether to re-normalize attention weights</p></li>
+<li><p><strong>ffn_activation</strong> (<em>str</em>) – Type of activation function for feedforward network</p></li>
+<li><p><strong>use_gate_act</strong> (<em>bool</em>) – If <cite>True</cite>, use gate activation. Otherwise, use S2 activation</p></li>
+<li><p><strong>use_grid_mlp</strong> (<em>bool</em>) – If <cite>True</cite>, use projecting to grids and performing MLPs for FFN.</p></li>
+<li><p><strong>use_sep_s2_act</strong> (<em>bool</em>) – If <cite>True</cite>, use separable S2 activation when <cite>use_gate_act</cite> is False.</p></li>
+<li><p><strong>norm_type</strong> (<em>str</em>) – Type of normalization layer ([‘layer_norm’, ‘layer_norm_sh’])</p></li>
+<li><p><strong>alpha_drop</strong> (<em>float</em>) – Dropout rate for attention weights</p></li>
+<li><p><strong>drop_path_rate</strong> (<em>float</em>) – Drop path rate</p></li>
+<li><p><strong>proj_drop</strong> (<em>float</em>) – Dropout rate for outputs of attention and FFN</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.TransBlockV2.norm_1">
+<span class="sig-name descname"><span class="pre">norm_1</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.norm_1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.TransBlockV2.ga">
+<span class="sig-name descname"><span class="pre">ga</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.ga" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.TransBlockV2.drop_path">
+<span class="sig-name descname"><span class="pre">drop_path</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.drop_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.TransBlockV2.proj_drop">
+<span class="sig-name descname"><span class="pre">proj_drop</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.proj_drop" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.TransBlockV2.norm_2">
+<span class="sig-name descname"><span class="pre">norm_2</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.norm_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.TransBlockV2.ffn">
+<span class="sig-name descname"><span class="pre">ffn</span></span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.ffn" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.transformer_block.TransBlockV2.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atomic_numbers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">node_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/models/equiformer_v2/transformer_block"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
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+              
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_heads"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.num_heads</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_alpha_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.attn_alpha_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_value_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.attn_value_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.output_channels"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_rotation"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.SO3_rotation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mappingReduced"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_grid"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.max_num_elements"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.edge_channels_list"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.edge_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_atom_edge_embedding"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_atom_edge_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_m_share_rad"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_m_share_rad</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_s2_act_attn"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_s2_act_attn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_attn_renorm"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_attn_renorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_gate_act"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_1"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.so2_conv_1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.alpha_dropout"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.alpha_dropout</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_2"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.so2_conv_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.proj"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.forward"><code class="docutils literal notranslate"><span class="pre">SO2EquivariantGraphAttention.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.hidden_channels"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.output_channels"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.output_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.lmax_list"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.mmax_list"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.num_resolutions"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.SO3_grid"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_gate_act"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.use_gate_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_grid_mlp"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.use_grid_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_sep_s2_act"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.use_sep_s2_act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.max_lmax"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.max_lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_1"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.so3_linear_1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_2"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.so3_linear_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.forward"><code class="docutils literal notranslate"><span class="pre">FeedForwardNetwork.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2"><code class="docutils literal notranslate"><span class="pre">TransBlockV2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.norm_1"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.norm_1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.ga"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.ga</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.drop_path"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.drop_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.proj_drop"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.proj_drop</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.norm_2"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.norm_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.ffn"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.ffn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.transformer_block.TransBlockV2.forward"><code class="docutils literal notranslate"><span class="pre">TransBlockV2.forward()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.weight_initialization.eqv2_init_weights"><code class="docutils literal notranslate"><span class="pre">eqv2_init_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.weight_initialization.eqv2_uniform_init_linear_weights"><code class="docutils literal notranslate"><span class="pre">eqv2_uniform_init_linear_weights()</span></code></a></li>
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+  <section id="module-core.models.equiformer_v2.weight_initialization">
+<span id="core-models-equiformer-v2-weight-initialization"></span><h1>core.models.equiformer_v2.weight_initialization<a class="headerlink" href="#module-core.models.equiformer_v2.weight_initialization" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.weight_initialization.eqv2_init_weights" title="core.models.equiformer_v2.weight_initialization.eqv2_init_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eqv2_init_weights</span></code></a>(m, weight_init)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.weight_initialization.eqv2_uniform_init_linear_weights" title="core.models.equiformer_v2.weight_initialization.eqv2_uniform_init_linear_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eqv2_uniform_init_linear_weights</span></code></a>(m)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.weight_initialization.eqv2_init_weights">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.weight_initialization.</span></span><span class="sig-name descname"><span class="pre">eqv2_init_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_init</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.weight_initialization.eqv2_init_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.weight_initialization.eqv2_uniform_init_linear_weights">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.weight_initialization.</span></span><span class="sig-name descname"><span class="pre">eqv2_uniform_init_linear_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.equiformer_v2.weight_initialization.eqv2_uniform_init_linear_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
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+    <h1>core.models.equiformer_v2.wigner</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.wigner._Jd"><code class="docutils literal notranslate"><span class="pre">_Jd</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.wigner.wigner_D"><code class="docutils literal notranslate"><span class="pre">wigner_D()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.wigner._z_rot_mat"><code class="docutils literal notranslate"><span class="pre">_z_rot_mat()</span></code></a></li>
+</ul>
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+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.equiformer_v2.wigner">
+<span id="core-models-equiformer-v2-wigner"></span><h1>core.models.equiformer_v2.wigner<a class="headerlink" href="#module-core.models.equiformer_v2.wigner" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.wigner._Jd" title="core.models.equiformer_v2.wigner._Jd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_Jd</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.equiformer_v2.wigner.wigner_D" title="core.models.equiformer_v2.wigner.wigner_D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wigner_D</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.equiformer_v2.wigner._z_rot_mat" title="core.models.equiformer_v2.wigner._z_rot_mat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_z_rot_mat</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.wigner._Jd">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.wigner.</span></span><span class="sig-name descname"><span class="pre">_Jd</span></span><a class="headerlink" href="#core.models.equiformer_v2.wigner._Jd" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.wigner.wigner_D">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.wigner.</span></span><span class="sig-name descname"><span class="pre">wigner_D</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gamma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.wigner.wigner_D" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.equiformer_v2.wigner._z_rot_mat">
+<span class="sig-prename descclassname"><span class="pre">core.models.equiformer_v2.wigner.</span></span><span class="sig-name descname"><span class="pre">_z_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">angle</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.equiformer_v2.wigner._z_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.wigner._Jd"><code class="docutils literal notranslate"><span class="pre">_Jd</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.wigner.wigner_D"><code class="docutils literal notranslate"><span class="pre">wigner_D()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.equiformer_v2.wigner._z_rot_mat"><code class="docutils literal notranslate"><span class="pre">_z_rot_mat()</span></code></a></li>
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+    <h1>core.models.escn.escn</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN"><code class="docutils literal notranslate"><span class="pre">eSCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">eSCN.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.regress_forces"><code class="docutils literal notranslate"><span class="pre">eSCN.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.use_pbc"><code class="docutils literal notranslate"><span class="pre">eSCN.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">eSCN.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.cutoff"><code class="docutils literal notranslate"><span class="pre">eSCN.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.otf_graph"><code class="docutils literal notranslate"><span class="pre">eSCN.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.show_timing_info"><code class="docutils literal notranslate"><span class="pre">eSCN.show_timing_info</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.max_num_elements"><code class="docutils literal notranslate"><span class="pre">eSCN.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.hidden_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_layers"><code class="docutils literal notranslate"><span class="pre">eSCN.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_atoms"><code class="docutils literal notranslate"><span class="pre">eSCN.num_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">eSCN.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphere_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.max_neighbors"><code class="docutils literal notranslate"><span class="pre">eSCN.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.edge_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.distance_resolution"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.grad_forces"><code class="docutils literal notranslate"><span class="pre">eSCN.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.lmax_list"><code class="docutils literal notranslate"><span class="pre">eSCN.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.mmax_list"><code class="docutils literal notranslate"><span class="pre">eSCN.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_resolutions"><code class="docutils literal notranslate"><span class="pre">eSCN.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.basis_width_scalar"><code class="docutils literal notranslate"><span class="pre">eSCN.basis_width_scalar</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.distance_function"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.counter"><code class="docutils literal notranslate"><span class="pre">eSCN.counter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.act"><code class="docutils literal notranslate"><span class="pre">eSCN.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_gaussians"><code class="docutils literal notranslate"><span class="pre">eSCN.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.SO3_grid"><code class="docutils literal notranslate"><span class="pre">eSCN.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.layer_blocks"><code class="docutils literal notranslate"><span class="pre">eSCN.layer_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.energy_block"><code class="docutils literal notranslate"><span class="pre">eSCN.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphere_points"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_points</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphharm_weights"><code class="docutils literal notranslate"><span class="pre">eSCN.sphharm_weights</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.forward"><code class="docutils literal notranslate"><span class="pre">eSCN.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">eSCN._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_params"><code class="docutils literal notranslate"><span class="pre">eSCN.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNBackbone"><code class="docutils literal notranslate"><span class="pre">eSCNBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNBackbone.forward"><code class="docutils literal notranslate"><span class="pre">eSCNBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNEnergyHead"><code class="docutils literal notranslate"><span class="pre">eSCNEnergyHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNEnergyHead.reduce"><code class="docutils literal notranslate"><span class="pre">eSCNEnergyHead.reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNEnergyHead.energy_block"><code class="docutils literal notranslate"><span class="pre">eSCNEnergyHead.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNEnergyHead.forward"><code class="docutils literal notranslate"><span class="pre">eSCNEnergyHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNForceHead"><code class="docutils literal notranslate"><span class="pre">eSCNForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNForceHead.force_block"><code class="docutils literal notranslate"><span class="pre">eSCNForceHead.force_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNForceHead.forward"><code class="docutils literal notranslate"><span class="pre">eSCNForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock"><code class="docutils literal notranslate"><span class="pre">LayerBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.layer_idx"><code class="docutils literal notranslate"><span class="pre">LayerBlock.layer_idx</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.act"><code class="docutils literal notranslate"><span class="pre">LayerBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.lmax_list"><code class="docutils literal notranslate"><span class="pre">LayerBlock.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.mmax_list"><code class="docutils literal notranslate"><span class="pre">LayerBlock.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.num_resolutions"><code class="docutils literal notranslate"><span class="pre">LayerBlock.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">LayerBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">LayerBlock.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.SO3_grid"><code class="docutils literal notranslate"><span class="pre">LayerBlock.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.message_block"><code class="docutils literal notranslate"><span class="pre">LayerBlock.message_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.fc1_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc1_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.fc2_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc2_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.fc3_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc3_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.forward"><code class="docutils literal notranslate"><span class="pre">LayerBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock"><code class="docutils literal notranslate"><span class="pre">MessageBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.layer_idx"><code class="docutils literal notranslate"><span class="pre">MessageBlock.layer_idx</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.act"><code class="docutils literal notranslate"><span class="pre">MessageBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.hidden_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.SO3_grid"><code class="docutils literal notranslate"><span class="pre">MessageBlock.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.num_resolutions"><code class="docutils literal notranslate"><span class="pre">MessageBlock.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.lmax_list"><code class="docutils literal notranslate"><span class="pre">MessageBlock.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.mmax_list"><code class="docutils literal notranslate"><span class="pre">MessageBlock.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.edge_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.edge_block"><code class="docutils literal notranslate"><span class="pre">MessageBlock.edge_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.so2_block_source"><code class="docutils literal notranslate"><span class="pre">MessageBlock.so2_block_source</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.so2_block_target"><code class="docutils literal notranslate"><span class="pre">MessageBlock.so2_block_target</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.forward"><code class="docutils literal notranslate"><span class="pre">MessageBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block"><code class="docutils literal notranslate"><span class="pre">SO2Block</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2Block.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2Block.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2Block.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2Block.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2Block.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.act"><code class="docutils literal notranslate"><span class="pre">SO2Block.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.fc1_dist0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc1_dist0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.fc1_m0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc1_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.fc2_m0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc2_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.so2_conv"><code class="docutils literal notranslate"><span class="pre">SO2Block.so2_conv</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.forward"><code class="docutils literal notranslate"><span class="pre">SO2Block.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv"><code class="docutils literal notranslate"><span class="pre">SO2Conv</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2Conv.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2Conv.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2Conv.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2Conv.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2Conv.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.m"><code class="docutils literal notranslate"><span class="pre">SO2Conv.m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.act"><code class="docutils literal notranslate"><span class="pre">SO2Conv.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc1_dist"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc1_r"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_r</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc2_r"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc2_r</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc1_i"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_i</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc2_i"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc2_i</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.forward"><code class="docutils literal notranslate"><span class="pre">SO2Conv.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock"><code class="docutils literal notranslate"><span class="pre">EdgeBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.in_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.distance_expansion"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.distance_expansion</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.act"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.edge_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.fc1_dist"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.source_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.source_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.target_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.fc1_edge_attr"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.fc1_edge_attr</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.forward"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock"><code class="docutils literal notranslate"><span class="pre">EnergyBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.num_channels"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.act"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.fc1"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.fc2"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.fc3"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.forward"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock"><code class="docutils literal notranslate"><span class="pre">ForceBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.num_channels"><code class="docutils literal notranslate"><span class="pre">ForceBlock.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">ForceBlock.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.act"><code class="docutils literal notranslate"><span class="pre">ForceBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.fc1"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.fc2"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.fc3"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.forward"><code class="docutils literal notranslate"><span class="pre">ForceBlock.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.escn.escn">
+<span id="core-models-escn-escn"></span><h1>core.models.escn.escn<a class="headerlink" href="#module-core.models.escn.escn" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn.eSCN" title="core.models.escn.escn.eSCN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eSCN</span></code></a></p></td>
+<td><p>Equivariant Spherical Channel Network</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.escn.eSCNBackbone" title="core.models.escn.escn.eSCNBackbone"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eSCNBackbone</span></code></a></p></td>
+<td><p>Equivariant Spherical Channel Network</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn.eSCNEnergyHead" title="core.models.escn.escn.eSCNEnergyHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eSCNEnergyHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.escn.eSCNForceHead" title="core.models.escn.escn.eSCNForceHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eSCNForceHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn.LayerBlock" title="core.models.escn.escn.LayerBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LayerBlock</span></code></a></p></td>
+<td><p>Layer block: Perform one layer (message passing and aggregation) of the GNN</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.escn.MessageBlock" title="core.models.escn.escn.MessageBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MessageBlock</span></code></a></p></td>
+<td><p>Message block: Perform message passing</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn.SO2Block" title="core.models.escn.escn.SO2Block"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO2Block</span></code></a></p></td>
+<td><p>SO(2) Block: Perform SO(2) convolutions for all m (orders)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.escn.SO2Conv" title="core.models.escn.escn.SO2Conv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO2Conv</span></code></a></p></td>
+<td><p>SO(2) Conv: Perform an SO(2) convolution</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn.EdgeBlock" title="core.models.escn.escn.EdgeBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EdgeBlock</span></code></a></p></td>
+<td><p>Edge Block: Compute invariant edge representation from edge diatances and atomic numbers</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.escn.EnergyBlock" title="core.models.escn.escn.EnergyBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EnergyBlock</span></code></a></p></td>
+<td><p>Energy Block: Output block computing the energy</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn.ForceBlock" title="core.models.escn.escn.ForceBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ForceBlock</span></code></a></p></td>
+<td><p>Force Block: Output block computing the per atom forces</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">eSCN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">40</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">90</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.02</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_timing_info</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation_checkpoint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.eSCN" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>Equivariant Spherical Channel Network
+Paper: Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Use periodic boundary conditions</p></li>
+<li><p><strong>use_pbc_single</strong> (<em>bool</em>) – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Compute forces</p></li>
+<li><p><strong>otf_graph</strong> (<em>bool</em>) – Compute graph On The Fly (OTF)</p></li>
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Maximum number of neighbors per atom</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Maximum distance between nieghboring atoms in Angstroms</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum atomic number</p></li>
+<li><p><strong>num_layers</strong> (<em>int</em>) – Number of layers in the GNN</p></li>
+<li><p><strong>lmax_list</strong> (<em>int</em>) – List of maximum degree of the spherical harmonics (1 to 10)</p></li>
+<li><p><strong>mmax_list</strong> (<em>int</em>) – List of maximum order of the spherical harmonics (0 to lmax)</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels (one set per resolution)</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden units in message passing</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integration of the sphere in the output blocks</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Number of channels for the edge invariant features</p></li>
+<li><p><strong>distance_function</strong> (<em>&quot;gaussian&quot;</em><em>, </em><em>&quot;sigmoid&quot;</em><em>, </em><em>&quot;linearsigmoid&quot;</em><em>, </em><em>&quot;silu&quot;</em>) – Basis function used for distances</p></li>
+<li><p><strong>basis_width_scalar</strong> (<em>float</em>) – Width of distance basis function</p></li>
+<li><p><strong>distance_resolution</strong> (<em>float</em>) – Distance between distance basis functions in Angstroms</p></li>
+<li><p><strong>show_timing_info</strong> (<em>bool</em>) – Show timing and memory info</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.activation_checkpoint">
+<span class="sig-name descname"><span class="pre">activation_checkpoint</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.activation_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.show_timing_info">
+<span class="sig-name descname"><span class="pre">show_timing_info</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.show_timing_info" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.num_layers">
+<span class="sig-name descname"><span class="pre">num_layers</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.num_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.num_atoms">
+<span class="sig-name descname"><span class="pre">num_atoms</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.escn.escn.eSCN.num_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.distance_resolution">
+<span class="sig-name descname"><span class="pre">distance_resolution</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.distance_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.grad_forces">
+<span class="sig-name descname"><span class="pre">grad_forces</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.escn.escn.eSCN.grad_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.escn.escn.eSCN.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.sphere_channels_all">
+<span class="sig-name descname"><span class="pre">sphere_channels_all</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.escn.escn.eSCN.sphere_channels_all" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.basis_width_scalar">
+<span class="sig-name descname"><span class="pre">basis_width_scalar</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.basis_width_scalar" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.distance_function">
+<span class="sig-name descname"><span class="pre">distance_function</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.distance_function" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.counter">
+<span class="sig-name descname"><span class="pre">counter</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.escn.escn.eSCN.counter" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.sphere_embedding">
+<span class="sig-name descname"><span class="pre">sphere_embedding</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.sphere_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.num_gaussians">
+<span class="sig-name descname"><span class="pre">num_gaussians</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.num_gaussians" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.layer_blocks">
+<span class="sig-name descname"><span class="pre">layer_blocks</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.layer_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.energy_block">
+<span class="sig-name descname"><span class="pre">energy_block</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.energy_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.sphere_points">
+<span class="sig-name descname"><span class="pre">sphere_points</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.sphere_points" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.sphharm_weights">
+<span class="sig-name descname"><span class="pre">sphharm_weights</span></span><a class="headerlink" href="#core.models.escn.escn.eSCN.sphharm_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.eSCN.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN._init_edge_rot_mat">
+<span class="sig-name descname"><span class="pre">_init_edge_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.eSCN._init_edge_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCN.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.escn.escn.eSCN.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCNBackbone">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">eSCNBackbone</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">40</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">90</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.02</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_timing_info</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation_checkpoint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.eSCNBackbone" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.models.escn.escn.eSCN" title="core.models.escn.escn.eSCN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eSCN</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.BackboneInterface</span></code></p>
+<p>Equivariant Spherical Channel Network
+Paper: Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Use periodic boundary conditions</p></li>
+<li><p><strong>use_pbc_single</strong> (<em>bool</em>) – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Compute forces</p></li>
+<li><p><strong>otf_graph</strong> (<em>bool</em>) – Compute graph On The Fly (OTF)</p></li>
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Maximum number of neighbors per atom</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Maximum distance between nieghboring atoms in Angstroms</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum atomic number</p></li>
+<li><p><strong>num_layers</strong> (<em>int</em>) – Number of layers in the GNN</p></li>
+<li><p><strong>lmax_list</strong> (<em>int</em>) – List of maximum degree of the spherical harmonics (1 to 10)</p></li>
+<li><p><strong>mmax_list</strong> (<em>int</em>) – List of maximum order of the spherical harmonics (0 to lmax)</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels (one set per resolution)</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden units in message passing</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integration of the sphere in the output blocks</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Number of channels for the edge invariant features</p></li>
+<li><p><strong>distance_function</strong> (<em>&quot;gaussian&quot;</em><em>, </em><em>&quot;sigmoid&quot;</em><em>, </em><em>&quot;linearsigmoid&quot;</em><em>, </em><em>&quot;silu&quot;</em>) – Basis function used for distances</p></li>
+<li><p><strong>basis_width_scalar</strong> (<em>float</em>) – Width of distance basis function</p></li>
+<li><p><strong>distance_resolution</strong> (<em>float</em>) – Distance between distance basis functions in Angstroms</p></li>
+<li><p><strong>show_timing_info</strong> (<em>bool</em>) – Show timing and memory info</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCNBackbone.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.escn.escn.eSCNBackbone.forward" title="Link to this definition">#</a></dt>
+<dd><p>Backbone forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>embedding</strong> – Return backbone embeddings for the given input</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCNEnergyHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">eSCNEnergyHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduce</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sum'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.eSCNEnergyHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCNEnergyHead.reduce">
+<span class="sig-name descname"><span class="pre">reduce</span></span><a class="headerlink" href="#core.models.escn.escn.eSCNEnergyHead.reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCNEnergyHead.energy_block">
+<span class="sig-name descname"><span class="pre">energy_block</span></span><a class="headerlink" href="#core.models.escn.escn.eSCNEnergyHead.energy_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCNEnergyHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.escn.escn.eSCNEnergyHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCNForceHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">eSCNForceHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.eSCNForceHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCNForceHead.force_block">
+<span class="sig-name descname"><span class="pre">force_block</span></span><a class="headerlink" href="#core.models.escn.escn.eSCNForceHead.force_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.eSCNForceHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.escn.escn.eSCNForceHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">LayerBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">layer_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_expansion</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.escn.so3.SO3_Grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.LayerBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Layer block: Perform one layer (message passing and aggregation) of the GNN</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>layer_idx</strong> (<em>int</em>) – Layer number</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during the SO(2) conv</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>mmax_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>distance_expansion</strong> (<em>func</em>) – Function used to compute distance embedding</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum number of atomic numbers</p></li>
+<li><p><strong>SO3_grid</strong> (<em>SO3_grid</em>) – Class used to convert from grid the spherical harmonic representations</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.layer_idx">
+<span class="sig-name descname"><span class="pre">layer_idx</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.layer_idx" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.sphere_channels_all">
+<span class="sig-name descname"><span class="pre">sphere_channels_all</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.sphere_channels_all" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.message_block">
+<span class="sig-name descname"><span class="pre">message_block</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.message_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.fc1_sphere">
+<span class="sig-name descname"><span class="pre">fc1_sphere</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.fc1_sphere" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.fc2_sphere">
+<span class="sig-name descname"><span class="pre">fc2_sphere</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.fc2_sphere" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.fc3_sphere">
+<span class="sig-name descname"><span class="pre">fc3_sphere</span></span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.fc3_sphere" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.LayerBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atomic_numbers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_edge_rot</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.LayerBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">MessageBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">layer_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_expansion</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.escn.so3.SO3_Grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.MessageBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Message block: Perform message passing</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>layer_idx</strong> (<em>int</em>) – Layer number</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during the SO(2) conv</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>mmax_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>distance_expansion</strong> (<em>func</em>) – Function used to compute distance embedding</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum number of atomic numbers</p></li>
+<li><p><strong>SO3_grid</strong> (<em>SO3_grid</em>) – Class used to convert from grid the spherical harmonic representations</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.layer_idx">
+<span class="sig-name descname"><span class="pre">layer_idx</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.layer_idx" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.edge_block">
+<span class="sig-name descname"><span class="pre">edge_block</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.edge_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.so2_block_source">
+<span class="sig-name descname"><span class="pre">so2_block_source</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.so2_block_source" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.so2_block_target">
+<span class="sig-name descname"><span class="pre">so2_block_target</span></span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.so2_block_target" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.MessageBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atomic_numbers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_edge_rot</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.MessageBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">SO2Block</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.SO2Block" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>SO(2) Block: Perform SO(2) convolutions for all m (orders)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during the SO(2) conv</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>mmax_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Block.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Block.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Block.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Block.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.escn.escn.SO2Block.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Block.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.fc1_dist0">
+<span class="sig-name descname"><span class="pre">fc1_dist0</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Block.fc1_dist0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.fc1_m0">
+<span class="sig-name descname"><span class="pre">fc1_m0</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Block.fc1_m0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.fc2_m0">
+<span class="sig-name descname"><span class="pre">fc2_m0</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Block.fc2_m0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.so2_conv">
+<span class="sig-name descname"><span class="pre">so2_conv</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Block.so2_conv" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Block.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_edge</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.SO2Block.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">SO2Conv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.SO2Conv" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>SO(2) Conv: Perform an SO(2) convolution</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m</strong> (<em>int</em>) – Order of the spherical harmonic coefficients</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during the SO(2) conv</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>mmax_list</em>) – int):       List of degrees (l) for each resolution</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):       List of orders (m) for each resolution</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.escn.escn.SO2Conv.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.m">
+<span class="sig-name descname"><span class="pre">m</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.m" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.fc1_dist">
+<span class="sig-name descname"><span class="pre">fc1_dist</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.fc1_dist" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.fc1_r">
+<span class="sig-name descname"><span class="pre">fc1_r</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.fc1_r" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.fc2_r">
+<span class="sig-name descname"><span class="pre">fc2_r</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.fc2_r" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.fc1_i">
+<span class="sig-name descname"><span class="pre">fc1_i</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.fc1_i" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.fc2_i">
+<span class="sig-name descname"><span class="pre">fc2_i</span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.fc2_i" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.SO2Conv.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_edge</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.escn.SO2Conv.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">EdgeBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_expansion</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Edge Block: Compute invariant edge representation from edge diatances and atomic numbers</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>distance_expansion</strong> (<em>func</em>) – Function used to compute distance embedding</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum number of atomic numbers</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.in_channels">
+<span class="sig-name descname"><span class="pre">in_channels</span></span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.in_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.distance_expansion">
+<span class="sig-name descname"><span class="pre">distance_expansion</span></span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.distance_expansion" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.fc1_dist">
+<span class="sig-name descname"><span class="pre">fc1_dist</span></span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.fc1_dist" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.source_embedding">
+<span class="sig-name descname"><span class="pre">source_embedding</span></span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.source_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.target_embedding">
+<span class="sig-name descname"><span class="pre">target_embedding</span></span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.target_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.fc1_edge_attr">
+<span class="sig-name descname"><span class="pre">fc1_edge_attr</span></span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.fc1_edge_attr" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.EdgeBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_element</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_element</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.EdgeBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.EnergyBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">EnergyBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.EnergyBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Energy Block: Output block computing the energy</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_channels</strong> (<em>int</em>) – Number of channels</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integral on the sphere</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EnergyBlock.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.escn.escn.EnergyBlock.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EnergyBlock.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.escn.escn.EnergyBlock.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EnergyBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn.EnergyBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EnergyBlock.fc1">
+<span class="sig-name descname"><span class="pre">fc1</span></span><a class="headerlink" href="#core.models.escn.escn.EnergyBlock.fc1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EnergyBlock.fc2">
+<span class="sig-name descname"><span class="pre">fc2</span></span><a class="headerlink" href="#core.models.escn.escn.EnergyBlock.fc2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.EnergyBlock.fc3">
+<span class="sig-name descname"><span class="pre">fc3</span></span><a class="headerlink" href="#core.models.escn.escn.EnergyBlock.fc3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.EnergyBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_pt</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.escn.EnergyBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn.ForceBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn.</span></span><span class="sig-name descname"><span class="pre">ForceBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn.ForceBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Force Block: Output block computing the per atom forces</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_channels</strong> (<em>int</em>) – Number of channels</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integral on the sphere</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.ForceBlock.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.escn.escn.ForceBlock.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.ForceBlock.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.escn.escn.ForceBlock.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.ForceBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn.ForceBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.ForceBlock.fc1">
+<span class="sig-name descname"><span class="pre">fc1</span></span><a class="headerlink" href="#core.models.escn.escn.ForceBlock.fc1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.ForceBlock.fc2">
+<span class="sig-name descname"><span class="pre">fc2</span></span><a class="headerlink" href="#core.models.escn.escn.ForceBlock.fc2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn.ForceBlock.fc3">
+<span class="sig-name descname"><span class="pre">fc3</span></span><a class="headerlink" href="#core.models.escn.escn.ForceBlock.fc3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn.ForceBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_pt</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_points</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.escn.ForceBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN"><code class="docutils literal notranslate"><span class="pre">eSCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">eSCN.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.regress_forces"><code class="docutils literal notranslate"><span class="pre">eSCN.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.use_pbc"><code class="docutils literal notranslate"><span class="pre">eSCN.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">eSCN.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.cutoff"><code class="docutils literal notranslate"><span class="pre">eSCN.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.otf_graph"><code class="docutils literal notranslate"><span class="pre">eSCN.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.show_timing_info"><code class="docutils literal notranslate"><span class="pre">eSCN.show_timing_info</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.max_num_elements"><code class="docutils literal notranslate"><span class="pre">eSCN.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.hidden_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_layers"><code class="docutils literal notranslate"><span class="pre">eSCN.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_atoms"><code class="docutils literal notranslate"><span class="pre">eSCN.num_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">eSCN.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphere_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.max_neighbors"><code class="docutils literal notranslate"><span class="pre">eSCN.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.edge_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.distance_resolution"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.grad_forces"><code class="docutils literal notranslate"><span class="pre">eSCN.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.lmax_list"><code class="docutils literal notranslate"><span class="pre">eSCN.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.mmax_list"><code class="docutils literal notranslate"><span class="pre">eSCN.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_resolutions"><code class="docutils literal notranslate"><span class="pre">eSCN.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.basis_width_scalar"><code class="docutils literal notranslate"><span class="pre">eSCN.basis_width_scalar</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.distance_function"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.counter"><code class="docutils literal notranslate"><span class="pre">eSCN.counter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.act"><code class="docutils literal notranslate"><span class="pre">eSCN.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_gaussians"><code class="docutils literal notranslate"><span class="pre">eSCN.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.SO3_grid"><code class="docutils literal notranslate"><span class="pre">eSCN.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.layer_blocks"><code class="docutils literal notranslate"><span class="pre">eSCN.layer_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.energy_block"><code class="docutils literal notranslate"><span class="pre">eSCN.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphere_points"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_points</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.sphharm_weights"><code class="docutils literal notranslate"><span class="pre">eSCN.sphharm_weights</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.forward"><code class="docutils literal notranslate"><span class="pre">eSCN.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">eSCN._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCN.num_params"><code class="docutils literal notranslate"><span class="pre">eSCN.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNBackbone"><code class="docutils literal notranslate"><span class="pre">eSCNBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNBackbone.forward"><code class="docutils literal notranslate"><span class="pre">eSCNBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNEnergyHead"><code class="docutils literal notranslate"><span class="pre">eSCNEnergyHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNEnergyHead.reduce"><code class="docutils literal notranslate"><span class="pre">eSCNEnergyHead.reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNEnergyHead.energy_block"><code class="docutils literal notranslate"><span class="pre">eSCNEnergyHead.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNEnergyHead.forward"><code class="docutils literal notranslate"><span class="pre">eSCNEnergyHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNForceHead"><code class="docutils literal notranslate"><span class="pre">eSCNForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNForceHead.force_block"><code class="docutils literal notranslate"><span class="pre">eSCNForceHead.force_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.eSCNForceHead.forward"><code class="docutils literal notranslate"><span class="pre">eSCNForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock"><code class="docutils literal notranslate"><span class="pre">LayerBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.layer_idx"><code class="docutils literal notranslate"><span class="pre">LayerBlock.layer_idx</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.act"><code class="docutils literal notranslate"><span class="pre">LayerBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.lmax_list"><code class="docutils literal notranslate"><span class="pre">LayerBlock.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.mmax_list"><code class="docutils literal notranslate"><span class="pre">LayerBlock.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.num_resolutions"><code class="docutils literal notranslate"><span class="pre">LayerBlock.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">LayerBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">LayerBlock.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.SO3_grid"><code class="docutils literal notranslate"><span class="pre">LayerBlock.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.message_block"><code class="docutils literal notranslate"><span class="pre">LayerBlock.message_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.fc1_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc1_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.fc2_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc2_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.fc3_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc3_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.LayerBlock.forward"><code class="docutils literal notranslate"><span class="pre">LayerBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock"><code class="docutils literal notranslate"><span class="pre">MessageBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.layer_idx"><code class="docutils literal notranslate"><span class="pre">MessageBlock.layer_idx</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.act"><code class="docutils literal notranslate"><span class="pre">MessageBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.hidden_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.SO3_grid"><code class="docutils literal notranslate"><span class="pre">MessageBlock.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.num_resolutions"><code class="docutils literal notranslate"><span class="pre">MessageBlock.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.lmax_list"><code class="docutils literal notranslate"><span class="pre">MessageBlock.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.mmax_list"><code class="docutils literal notranslate"><span class="pre">MessageBlock.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.edge_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.edge_block"><code class="docutils literal notranslate"><span class="pre">MessageBlock.edge_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.so2_block_source"><code class="docutils literal notranslate"><span class="pre">MessageBlock.so2_block_source</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.so2_block_target"><code class="docutils literal notranslate"><span class="pre">MessageBlock.so2_block_target</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.MessageBlock.forward"><code class="docutils literal notranslate"><span class="pre">MessageBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block"><code class="docutils literal notranslate"><span class="pre">SO2Block</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2Block.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2Block.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2Block.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2Block.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2Block.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.act"><code class="docutils literal notranslate"><span class="pre">SO2Block.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.fc1_dist0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc1_dist0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.fc1_m0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc1_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.fc2_m0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc2_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.so2_conv"><code class="docutils literal notranslate"><span class="pre">SO2Block.so2_conv</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Block.forward"><code class="docutils literal notranslate"><span class="pre">SO2Block.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv"><code class="docutils literal notranslate"><span class="pre">SO2Conv</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2Conv.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.lmax_list"><code class="docutils literal notranslate"><span class="pre">SO2Conv.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.mmax_list"><code class="docutils literal notranslate"><span class="pre">SO2Conv.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2Conv.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO2Conv.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.m"><code class="docutils literal notranslate"><span class="pre">SO2Conv.m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.act"><code class="docutils literal notranslate"><span class="pre">SO2Conv.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc1_dist"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc1_r"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_r</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc2_r"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc2_r</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc1_i"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_i</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.fc2_i"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc2_i</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.SO2Conv.forward"><code class="docutils literal notranslate"><span class="pre">SO2Conv.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock"><code class="docutils literal notranslate"><span class="pre">EdgeBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.in_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.distance_expansion"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.distance_expansion</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.act"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.edge_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.fc1_dist"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.source_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.source_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.target_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.fc1_edge_attr"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.fc1_edge_attr</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EdgeBlock.forward"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock"><code class="docutils literal notranslate"><span class="pre">EnergyBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.num_channels"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.act"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.fc1"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.fc2"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.fc3"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.EnergyBlock.forward"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock"><code class="docutils literal notranslate"><span class="pre">ForceBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.num_channels"><code class="docutils literal notranslate"><span class="pre">ForceBlock.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">ForceBlock.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.act"><code class="docutils literal notranslate"><span class="pre">ForceBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.fc1"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.fc2"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.fc3"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn.ForceBlock.forward"><code class="docutils literal notranslate"><span class="pre">ForceBlock.forward()</span></code></a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>core.models.escn.escn_exportable</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN"><code class="docutils literal notranslate"><span class="pre">eSCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.max_neighbors"><code class="docutils literal notranslate"><span class="pre">eSCN.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.cutoff"><code class="docutils literal notranslate"><span class="pre">eSCN.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.max_num_elements"><code class="docutils literal notranslate"><span class="pre">eSCN.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.hidden_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.num_layers"><code class="docutils literal notranslate"><span class="pre">eSCN.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">eSCN.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sphere_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.edge_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.distance_resolution"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.lmax"><code class="docutils literal notranslate"><span class="pre">eSCN.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.mmax"><code class="docutils literal notranslate"><span class="pre">eSCN.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.basis_width_scalar"><code class="docutils literal notranslate"><span class="pre">eSCN.basis_width_scalar</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.distance_function"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.compile"><code class="docutils literal notranslate"><span class="pre">eSCN.compile</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.export"><code class="docutils literal notranslate"><span class="pre">eSCN.export</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.rescale_grid"><code class="docutils literal notranslate"><span class="pre">eSCN.rescale_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.act"><code class="docutils literal notranslate"><span class="pre">eSCN.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.num_gaussians"><code class="docutils literal notranslate"><span class="pre">eSCN.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.SO3_grid"><code class="docutils literal notranslate"><span class="pre">eSCN.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.layer_blocks"><code class="docutils literal notranslate"><span class="pre">eSCN.layer_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.energy_block"><code class="docutils literal notranslate"><span class="pre">eSCN.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.force_block"><code class="docutils literal notranslate"><span class="pre">eSCN.force_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sphere_points"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_points</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sphharm_weights"><code class="docutils literal notranslate"><span class="pre">eSCN.sphharm_weights</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sph_feature_size"><code class="docutils literal notranslate"><span class="pre">eSCN.sph_feature_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.forward_trainable"><code class="docutils literal notranslate"><span class="pre">eSCN.forward_trainable()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.forward"><code class="docutils literal notranslate"><span class="pre">eSCN.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">eSCN._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.num_params"><code class="docutils literal notranslate"><span class="pre">eSCN.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock"><code class="docutils literal notranslate"><span class="pre">LayerBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.layer_idx"><code class="docutils literal notranslate"><span class="pre">LayerBlock.layer_idx</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.act"><code class="docutils literal notranslate"><span class="pre">LayerBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.lmax"><code class="docutils literal notranslate"><span class="pre">LayerBlock.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.mmax"><code class="docutils literal notranslate"><span class="pre">LayerBlock.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">LayerBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.SO3_grid"><code class="docutils literal notranslate"><span class="pre">LayerBlock.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.message_block"><code class="docutils literal notranslate"><span class="pre">LayerBlock.message_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.fc1_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc1_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.fc2_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc2_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.fc3_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc3_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.forward"><code class="docutils literal notranslate"><span class="pre">LayerBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock"><code class="docutils literal notranslate"><span class="pre">MessageBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.layer_idx"><code class="docutils literal notranslate"><span class="pre">MessageBlock.layer_idx</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.act"><code class="docutils literal notranslate"><span class="pre">MessageBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.hidden_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.SO3_grid"><code class="docutils literal notranslate"><span class="pre">MessageBlock.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.lmax"><code class="docutils literal notranslate"><span class="pre">MessageBlock.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.mmax"><code class="docutils literal notranslate"><span class="pre">MessageBlock.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.edge_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.out_mask"><code class="docutils literal notranslate"><span class="pre">MessageBlock.out_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.edge_block"><code class="docutils literal notranslate"><span class="pre">MessageBlock.edge_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.so2_block_source"><code class="docutils literal notranslate"><span class="pre">MessageBlock.so2_block_source</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.so2_block_target"><code class="docutils literal notranslate"><span class="pre">MessageBlock.so2_block_target</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.forward"><code class="docutils literal notranslate"><span class="pre">MessageBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block"><code class="docutils literal notranslate"><span class="pre">SO2Block</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2Block.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2Block.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.lmax"><code class="docutils literal notranslate"><span class="pre">SO2Block.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.mmax"><code class="docutils literal notranslate"><span class="pre">SO2Block.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.act"><code class="docutils literal notranslate"><span class="pre">SO2Block.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.mappingReduced"><code class="docutils literal notranslate"><span class="pre">SO2Block.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.fc1_dist0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc1_dist0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.fc1_m0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc1_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.fc2_m0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc2_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.so2_conv"><code class="docutils literal notranslate"><span class="pre">SO2Block.so2_conv</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.forward"><code class="docutils literal notranslate"><span class="pre">SO2Block.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv"><code class="docutils literal notranslate"><span class="pre">SO2Conv</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2Conv.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.lmax"><code class="docutils literal notranslate"><span class="pre">SO2Conv.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.mmax"><code class="docutils literal notranslate"><span class="pre">SO2Conv.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2Conv.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.m"><code class="docutils literal notranslate"><span class="pre">SO2Conv.m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.act"><code class="docutils literal notranslate"><span class="pre">SO2Conv.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc1_dist"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc1_r"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_r</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc2_r"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc2_r</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc1_i"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_i</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc2_i"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc2_i</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.forward"><code class="docutils literal notranslate"><span class="pre">SO2Conv.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock"><code class="docutils literal notranslate"><span class="pre">EdgeBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.in_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.distance_expansion"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.distance_expansion</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.act"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.edge_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.fc1_dist"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.source_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.source_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.target_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.fc1_edge_attr"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.fc1_edge_attr</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.forward"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock"><code class="docutils literal notranslate"><span class="pre">EnergyBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.num_channels"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.act"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.fc1"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.fc2"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.fc3"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.forward"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock"><code class="docutils literal notranslate"><span class="pre">ForceBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.num_channels"><code class="docutils literal notranslate"><span class="pre">ForceBlock.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">ForceBlock.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.act"><code class="docutils literal notranslate"><span class="pre">ForceBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.fc1"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.fc2"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.fc3"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.forward"><code class="docutils literal notranslate"><span class="pre">ForceBlock.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.escn.escn_exportable">
+<span id="core-models-escn-escn-exportable"></span><h1>core.models.escn.escn_exportable<a class="headerlink" href="#module-core.models.escn.escn_exportable" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn_exportable.eSCN" title="core.models.escn.escn_exportable.eSCN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eSCN</span></code></a></p></td>
+<td><p>Equivariant Spherical Channel Network</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.escn_exportable.LayerBlock" title="core.models.escn.escn_exportable.LayerBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LayerBlock</span></code></a></p></td>
+<td><p>Layer block: Perform one layer (message passing and aggregation) of the GNN</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn_exportable.MessageBlock" title="core.models.escn.escn_exportable.MessageBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MessageBlock</span></code></a></p></td>
+<td><p>Message block: Perform message passing</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.escn_exportable.SO2Block" title="core.models.escn.escn_exportable.SO2Block"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO2Block</span></code></a></p></td>
+<td><p>SO(2) Block: Perform SO(2) convolutions for all m (orders)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn_exportable.SO2Conv" title="core.models.escn.escn_exportable.SO2Conv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO2Conv</span></code></a></p></td>
+<td><p>SO(2) Conv: Perform an SO(2) convolution</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.escn_exportable.EdgeBlock" title="core.models.escn.escn_exportable.EdgeBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EdgeBlock</span></code></a></p></td>
+<td><p>Edge Block: Compute invariant edge representation from edge diatances and atomic numbers</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.escn_exportable.EnergyBlock" title="core.models.escn.escn_exportable.EnergyBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EnergyBlock</span></code></a></p></td>
+<td><p>Energy Block: Output block computing the energy</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.escn_exportable.ForceBlock" title="core.models.escn.escn_exportable.ForceBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ForceBlock</span></code></a></p></td>
+<td><p>Force Block: Output block computing the per atom forces</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn_exportable.</span></span><span class="sig-name descname"><span class="pre">eSCN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.02</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">export</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rescale_grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>Equivariant Spherical Channel Network
+Paper: Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Max neighbors to take per node, when using the graph generation</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Maximum distance between nieghboring atoms in Angstroms</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum atomic number</p></li>
+<li><p><strong>num_layers</strong> (<em>int</em>) – Number of layers in the GNN</p></li>
+<li><p><strong>lmax</strong> (<em>int</em>) – maximum degree of the spherical harmonics (1 to 10)</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – maximum order of the spherical harmonics (0 to lmax)</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels (one set per resolution)</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden units in message passing</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integration of the sphere in the output blocks</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Number of channels for the edge invariant features</p></li>
+<li><p><strong>distance_function</strong> (<em>&quot;gaussian&quot;</em><em>, </em><em>&quot;sigmoid&quot;</em><em>, </em><em>&quot;linearsigmoid&quot;</em><em>, </em><em>&quot;silu&quot;</em>) – Basis function used for distances</p></li>
+<li><p><strong>basis_width_scalar</strong> (<em>float</em>) – Width of distance basis function</p></li>
+<li><p><strong>distance_resolution</strong> (<em>float</em>) – Distance between distance basis functions in Angstroms</p></li>
+<li><p><strong>compile</strong> (<em>bool</em>) – use torch.compile on the forward</p></li>
+<li><p><strong>export</strong> (<em>bool</em>) – use the exportable version of the module</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.num_layers">
+<span class="sig-name descname"><span class="pre">num_layers</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.num_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.distance_resolution">
+<span class="sig-name descname"><span class="pre">distance_resolution</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.distance_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.basis_width_scalar">
+<span class="sig-name descname"><span class="pre">basis_width_scalar</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.basis_width_scalar" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.distance_function">
+<span class="sig-name descname"><span class="pre">distance_function</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.distance_function" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.compile">
+<span class="sig-name descname"><span class="pre">compile</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.compile" title="Link to this definition">#</a></dt>
+<dd><p>Compile this Module’s forward using <code class="xref py py-func docutils literal notranslate"><span class="pre">torch.compile()</span></code>.</p>
+<p>This Module’s <cite>__call__</cite> method is compiled and all arguments are passed as-is
+to <code class="xref py py-func docutils literal notranslate"><span class="pre">torch.compile()</span></code>.</p>
+<p>See <code class="xref py py-func docutils literal notranslate"><span class="pre">torch.compile()</span></code> for details on the arguments for this function.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.export">
+<span class="sig-name descname"><span class="pre">export</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.export" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.rescale_grid">
+<span class="sig-name descname"><span class="pre">rescale_grid</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.rescale_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.sphere_embedding">
+<span class="sig-name descname"><span class="pre">sphere_embedding</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.sphere_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.num_gaussians">
+<span class="sig-name descname"><span class="pre">num_gaussians</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.num_gaussians" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.layer_blocks">
+<span class="sig-name descname"><span class="pre">layer_blocks</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.layer_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.energy_block">
+<span class="sig-name descname"><span class="pre">energy_block</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.energy_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.force_block">
+<span class="sig-name descname"><span class="pre">force_block</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.force_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.sphere_points">
+<span class="sig-name descname"><span class="pre">sphere_points</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.sphere_points" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.sphharm_weights">
+<span class="sig-name descname"><span class="pre">sphharm_weights</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Parameter</span></em><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.sphharm_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.sph_feature_size">
+<span class="sig-name descname"><span class="pre">sph_feature_size</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.sph_feature_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.forward_trainable">
+<span class="sig-name descname"><span class="pre">forward_trainable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.forward_trainable" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">natoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atomic_numbers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.forward" title="Link to this definition">#</a></dt>
+<dd><p>N: num atoms
+N: batch size
+E: num edges</p>
+<p>pos: [N, 3] atom positions
+batch_idx: [N] batch index of each atom
+natoms: [B] number of atoms in each batch
+atomic_numbers: [N] atomic number per atom
+edge_index: [2, E] edges between source and target atoms
+edge_distance: [E] cartesian distance for each edge
+edge_distance_vec: [E, 3] direction vector of edges (includes pbc)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN._init_edge_rot_mat">
+<span class="sig-name descname"><span class="pre">_init_edge_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN._init_edge_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.eSCN.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.escn.escn_exportable.eSCN.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn_exportable.</span></span><span class="sig-name descname"><span class="pre">LayerBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">layer_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_expansion</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.escn.so3_exportable.SO3_Grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Layer block: Perform one layer (message passing and aggregation) of the GNN</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>layer_idx</strong> (<em>int</em>) – Layer number</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during the SO(2) conv</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>lmax</strong> (<em>int</em><em>)                  </em><em>degrees</em><em> (</em><em>l</em>)</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – orders (m) for each resolution</p></li>
+<li><p><strong>distance_expansion</strong> (<em>func</em>) – Function used to compute distance embedding</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum number of atomic numbers</p></li>
+<li><p><strong>SO3_grid</strong> (<em>SO3_grid</em>) – Class used to convert from grid the spherical harmonic representations</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.layer_idx">
+<span class="sig-name descname"><span class="pre">layer_idx</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.layer_idx" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.message_block">
+<span class="sig-name descname"><span class="pre">message_block</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.message_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.fc1_sphere">
+<span class="sig-name descname"><span class="pre">fc1_sphere</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.fc1_sphere" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.fc2_sphere">
+<span class="sig-name descname"><span class="pre">fc2_sphere</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.fc2_sphere" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.fc3_sphere">
+<span class="sig-name descname"><span class="pre">fc3_sphere</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.fc3_sphere" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.LayerBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atomic_numbers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wigner</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.escn_exportable.LayerBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn_exportable.</span></span><span class="sig-name descname"><span class="pre">MessageBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">layer_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_expansion</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.escn.so3_exportable.SO3_Grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Message block: Perform message passing</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>layer_idx</strong> (<em>int</em>) – Layer number</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during the SO(2) conv</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>lmax</strong> (<em>int</em>) – degrees (l) for each resolution</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – orders (m) for each resolution</p></li>
+<li><p><strong>distance_expansion</strong> (<em>func</em>) – Function used to compute distance embedding</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum number of atomic numbers</p></li>
+<li><p><strong>SO3_grid</strong> (<em>SO3_grid</em>) – Class used to convert from grid the spherical harmonic representations</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.layer_idx">
+<span class="sig-name descname"><span class="pre">layer_idx</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.layer_idx" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.out_mask">
+<span class="sig-name descname"><span class="pre">out_mask</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.out_mask" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.edge_block">
+<span class="sig-name descname"><span class="pre">edge_block</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.edge_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.so2_block_source">
+<span class="sig-name descname"><span class="pre">so2_block_source</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.so2_block_source" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.so2_block_target">
+<span class="sig-name descname"><span class="pre">so2_block_target</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.so2_block_target" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.MessageBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atomic_numbers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wigner</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.escn_exportable.MessageBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn_exportable.</span></span><span class="sig-name descname"><span class="pre">SO2Block</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>SO(2) Block: Perform SO(2) convolutions for all m (orders)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during the SO(2) conv</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>lmax</strong> (<em>int</em>) – degrees (l) for each resolution</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – orders (m) for each resolution</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.mappingReduced">
+<span class="sig-name descname"><span class="pre">mappingReduced</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.mappingReduced" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.fc1_dist0">
+<span class="sig-name descname"><span class="pre">fc1_dist0</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.fc1_dist0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.fc1_m0">
+<span class="sig-name descname"><span class="pre">fc1_m0</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.fc1_m0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.fc2_m0">
+<span class="sig-name descname"><span class="pre">fc2_m0</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.fc2_m0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.so2_conv">
+<span class="sig-name descname"><span class="pre">so2_conv</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.so2_conv" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Block.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Block.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn_exportable.</span></span><span class="sig-name descname"><span class="pre">SO2Conv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>SO(2) Conv: Perform an SO(2) convolution</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m</strong> (<em>int</em>) – Order of the spherical harmonic coefficients</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden channels used during the SO(2) conv</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>lmax</strong> (<em>int</em>) – degrees (l) for each resolution</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – orders (m) for each resolution</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.m">
+<span class="sig-name descname"><span class="pre">m</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.m" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.fc1_dist">
+<span class="sig-name descname"><span class="pre">fc1_dist</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.fc1_dist" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.fc1_r">
+<span class="sig-name descname"><span class="pre">fc1_r</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.fc1_r" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.fc2_r">
+<span class="sig-name descname"><span class="pre">fc2_r</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.fc2_r" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.fc1_i">
+<span class="sig-name descname"><span class="pre">fc1_i</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.fc1_i" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.fc2_i">
+<span class="sig-name descname"><span class="pre">fc2_i</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.fc2_i" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.SO2Conv.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_edge</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.escn_exportable.SO2Conv.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn_exportable.</span></span><span class="sig-name descname"><span class="pre">EdgeBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_expansion</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Edge Block: Compute invariant edge representation from edge diatances and atomic numbers</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Size of invariant edge embedding</p></li>
+<li><p><strong>distance_expansion</strong> (<em>func</em>) – Function used to compute distance embedding</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum number of atomic numbers</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.in_channels">
+<span class="sig-name descname"><span class="pre">in_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.in_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.distance_expansion">
+<span class="sig-name descname"><span class="pre">distance_expansion</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.distance_expansion" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.fc1_dist">
+<span class="sig-name descname"><span class="pre">fc1_dist</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.fc1_dist" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.source_embedding">
+<span class="sig-name descname"><span class="pre">source_embedding</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.source_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.target_embedding">
+<span class="sig-name descname"><span class="pre">target_embedding</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.target_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.fc1_edge_attr">
+<span class="sig-name descname"><span class="pre">fc1_edge_attr</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.fc1_edge_attr" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EdgeBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_element</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_element</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.EdgeBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EnergyBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn_exportable.</span></span><span class="sig-name descname"><span class="pre">EnergyBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.EnergyBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Energy Block: Output block computing the energy</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_channels</strong> (<em>int</em>) – Number of channels</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integral on the sphere</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EnergyBlock.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EnergyBlock.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EnergyBlock.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EnergyBlock.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EnergyBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EnergyBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EnergyBlock.fc1">
+<span class="sig-name descname"><span class="pre">fc1</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EnergyBlock.fc1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EnergyBlock.fc2">
+<span class="sig-name descname"><span class="pre">fc2</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EnergyBlock.fc2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EnergyBlock.fc3">
+<span class="sig-name descname"><span class="pre">fc3</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EnergyBlock.fc3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.EnergyBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_pt</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.escn_exportable.EnergyBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.ForceBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.escn_exportable.</span></span><span class="sig-name descname"><span class="pre">ForceBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.escn_exportable.ForceBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Force Block: Output block computing the per atom forces</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_channels</strong> (<em>int</em>) – Number of channels</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integral on the sphere</p></li>
+<li><p><strong>act</strong> (<em>function</em>) – Non-linear activation function</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.ForceBlock.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.ForceBlock.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.ForceBlock.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.ForceBlock.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.ForceBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.ForceBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.ForceBlock.fc1">
+<span class="sig-name descname"><span class="pre">fc1</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.ForceBlock.fc1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.ForceBlock.fc2">
+<span class="sig-name descname"><span class="pre">fc2</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.ForceBlock.fc2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.ForceBlock.fc3">
+<span class="sig-name descname"><span class="pre">fc3</span></span><a class="headerlink" href="#core.models.escn.escn_exportable.ForceBlock.fc3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.escn_exportable.ForceBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_pt</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_points</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.escn_exportable.ForceBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+        predefinedOutput: true
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN"><code class="docutils literal notranslate"><span class="pre">eSCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.max_neighbors"><code class="docutils literal notranslate"><span class="pre">eSCN.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.cutoff"><code class="docutils literal notranslate"><span class="pre">eSCN.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.max_num_elements"><code class="docutils literal notranslate"><span class="pre">eSCN.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.hidden_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.num_layers"><code class="docutils literal notranslate"><span class="pre">eSCN.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">eSCN.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sphere_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.edge_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.distance_resolution"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.lmax"><code class="docutils literal notranslate"><span class="pre">eSCN.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.mmax"><code class="docutils literal notranslate"><span class="pre">eSCN.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.basis_width_scalar"><code class="docutils literal notranslate"><span class="pre">eSCN.basis_width_scalar</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.distance_function"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.compile"><code class="docutils literal notranslate"><span class="pre">eSCN.compile</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.export"><code class="docutils literal notranslate"><span class="pre">eSCN.export</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.rescale_grid"><code class="docutils literal notranslate"><span class="pre">eSCN.rescale_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.act"><code class="docutils literal notranslate"><span class="pre">eSCN.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.num_gaussians"><code class="docutils literal notranslate"><span class="pre">eSCN.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.SO3_grid"><code class="docutils literal notranslate"><span class="pre">eSCN.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.layer_blocks"><code class="docutils literal notranslate"><span class="pre">eSCN.layer_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.energy_block"><code class="docutils literal notranslate"><span class="pre">eSCN.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.force_block"><code class="docutils literal notranslate"><span class="pre">eSCN.force_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sphere_points"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_points</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sphharm_weights"><code class="docutils literal notranslate"><span class="pre">eSCN.sphharm_weights</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.sph_feature_size"><code class="docutils literal notranslate"><span class="pre">eSCN.sph_feature_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.forward_trainable"><code class="docutils literal notranslate"><span class="pre">eSCN.forward_trainable()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.forward"><code class="docutils literal notranslate"><span class="pre">eSCN.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">eSCN._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.eSCN.num_params"><code class="docutils literal notranslate"><span class="pre">eSCN.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock"><code class="docutils literal notranslate"><span class="pre">LayerBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.layer_idx"><code class="docutils literal notranslate"><span class="pre">LayerBlock.layer_idx</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.act"><code class="docutils literal notranslate"><span class="pre">LayerBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.lmax"><code class="docutils literal notranslate"><span class="pre">LayerBlock.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.mmax"><code class="docutils literal notranslate"><span class="pre">LayerBlock.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">LayerBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.SO3_grid"><code class="docutils literal notranslate"><span class="pre">LayerBlock.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.message_block"><code class="docutils literal notranslate"><span class="pre">LayerBlock.message_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.fc1_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc1_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.fc2_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc2_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.fc3_sphere"><code class="docutils literal notranslate"><span class="pre">LayerBlock.fc3_sphere</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.LayerBlock.forward"><code class="docutils literal notranslate"><span class="pre">LayerBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock"><code class="docutils literal notranslate"><span class="pre">MessageBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.layer_idx"><code class="docutils literal notranslate"><span class="pre">MessageBlock.layer_idx</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.act"><code class="docutils literal notranslate"><span class="pre">MessageBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.hidden_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.SO3_grid"><code class="docutils literal notranslate"><span class="pre">MessageBlock.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.lmax"><code class="docutils literal notranslate"><span class="pre">MessageBlock.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.mmax"><code class="docutils literal notranslate"><span class="pre">MessageBlock.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.edge_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.out_mask"><code class="docutils literal notranslate"><span class="pre">MessageBlock.out_mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.edge_block"><code class="docutils literal notranslate"><span class="pre">MessageBlock.edge_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.so2_block_source"><code class="docutils literal notranslate"><span class="pre">MessageBlock.so2_block_source</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.so2_block_target"><code class="docutils literal notranslate"><span class="pre">MessageBlock.so2_block_target</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.MessageBlock.forward"><code class="docutils literal notranslate"><span class="pre">MessageBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block"><code class="docutils literal notranslate"><span class="pre">SO2Block</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2Block.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2Block.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.lmax"><code class="docutils literal notranslate"><span class="pre">SO2Block.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.mmax"><code class="docutils literal notranslate"><span class="pre">SO2Block.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.act"><code class="docutils literal notranslate"><span class="pre">SO2Block.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.mappingReduced"><code class="docutils literal notranslate"><span class="pre">SO2Block.mappingReduced</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.fc1_dist0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc1_dist0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.fc1_m0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc1_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.fc2_m0"><code class="docutils literal notranslate"><span class="pre">SO2Block.fc2_m0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.so2_conv"><code class="docutils literal notranslate"><span class="pre">SO2Block.so2_conv</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Block.forward"><code class="docutils literal notranslate"><span class="pre">SO2Block.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv"><code class="docutils literal notranslate"><span class="pre">SO2Conv</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SO2Conv.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.lmax"><code class="docutils literal notranslate"><span class="pre">SO2Conv.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.mmax"><code class="docutils literal notranslate"><span class="pre">SO2Conv.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SO2Conv.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.m"><code class="docutils literal notranslate"><span class="pre">SO2Conv.m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.act"><code class="docutils literal notranslate"><span class="pre">SO2Conv.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc1_dist"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc1_r"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_r</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc2_r"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc2_r</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc1_i"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc1_i</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.fc2_i"><code class="docutils literal notranslate"><span class="pre">SO2Conv.fc2_i</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.SO2Conv.forward"><code class="docutils literal notranslate"><span class="pre">SO2Conv.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock"><code class="docutils literal notranslate"><span class="pre">EdgeBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.in_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.distance_expansion"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.distance_expansion</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.act"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.edge_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.fc1_dist"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.source_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.source_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.target_embedding"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.fc1_edge_attr"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.fc1_edge_attr</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EdgeBlock.forward"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock"><code class="docutils literal notranslate"><span class="pre">EnergyBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.num_channels"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.act"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.fc1"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.fc2"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.fc3"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.EnergyBlock.forward"><code class="docutils literal notranslate"><span class="pre">EnergyBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock"><code class="docutils literal notranslate"><span class="pre">ForceBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.num_channels"><code class="docutils literal notranslate"><span class="pre">ForceBlock.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">ForceBlock.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.act"><code class="docutils literal notranslate"><span class="pre">ForceBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.fc1"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.fc2"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.fc3"><code class="docutils literal notranslate"><span class="pre">ForceBlock.fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.escn_exportable.ForceBlock.forward"><code class="docutils literal notranslate"><span class="pre">ForceBlock.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.escn</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN"><code class="docutils literal notranslate"><span class="pre">eSCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">eSCN.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.regress_forces"><code class="docutils literal notranslate"><span class="pre">eSCN.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.use_pbc"><code class="docutils literal notranslate"><span class="pre">eSCN.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">eSCN.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.cutoff"><code class="docutils literal notranslate"><span class="pre">eSCN.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.otf_graph"><code class="docutils literal notranslate"><span class="pre">eSCN.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.show_timing_info"><code class="docutils literal notranslate"><span class="pre">eSCN.show_timing_info</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.max_num_elements"><code class="docutils literal notranslate"><span class="pre">eSCN.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.hidden_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.num_layers"><code class="docutils literal notranslate"><span class="pre">eSCN.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.num_atoms"><code class="docutils literal notranslate"><span class="pre">eSCN.num_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">eSCN.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.sphere_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.max_neighbors"><code class="docutils literal notranslate"><span class="pre">eSCN.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.edge_channels"><code class="docutils literal notranslate"><span class="pre">eSCN.edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.distance_resolution"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.grad_forces"><code class="docutils literal notranslate"><span class="pre">eSCN.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.lmax_list"><code class="docutils literal notranslate"><span class="pre">eSCN.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.mmax_list"><code class="docutils literal notranslate"><span class="pre">eSCN.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.num_resolutions"><code class="docutils literal notranslate"><span class="pre">eSCN.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.sphere_channels_all"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_channels_all</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.basis_width_scalar"><code class="docutils literal notranslate"><span class="pre">eSCN.basis_width_scalar</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.distance_function"><code class="docutils literal notranslate"><span class="pre">eSCN.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.counter"><code class="docutils literal notranslate"><span class="pre">eSCN.counter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.act"><code class="docutils literal notranslate"><span class="pre">eSCN.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.num_gaussians"><code class="docutils literal notranslate"><span class="pre">eSCN.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.SO3_grid"><code class="docutils literal notranslate"><span class="pre">eSCN.SO3_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.layer_blocks"><code class="docutils literal notranslate"><span class="pre">eSCN.layer_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.energy_block"><code class="docutils literal notranslate"><span class="pre">eSCN.energy_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.sphere_points"><code class="docutils literal notranslate"><span class="pre">eSCN.sphere_points</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.sphharm_weights"><code class="docutils literal notranslate"><span class="pre">eSCN.sphharm_weights</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.forward"><code class="docutils literal notranslate"><span class="pre">eSCN.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">eSCN._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.num_params"><code class="docutils literal notranslate"><span class="pre">eSCN.num_params</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.escn">
+<span id="core-models-escn"></span><h1>core.models.escn<a class="headerlink" href="#module-core.models.escn" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="escn/index.html">core.models.escn.escn</a></li>
+<li class="toctree-l1"><a class="reference internal" href="escn_exportable/index.html">core.models.escn.escn_exportable</a></li>
+<li class="toctree-l1"><a class="reference internal" href="so3/index.html">core.models.escn.so3</a></li>
+<li class="toctree-l1"><a class="reference internal" href="so3_exportable/index.html">core.models.escn.so3_exportable</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.eSCN" title="core.models.escn.eSCN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eSCN</span></code></a></p></td>
+<td><p>Equivariant Spherical Channel Network</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.eSCN">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.</span></span><span class="sig-name descname"><span class="pre">eSCN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">40</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">90</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.02</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_timing_info</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation_checkpoint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.eSCN" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>Equivariant Spherical Channel Network
+Paper: Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Use periodic boundary conditions</p></li>
+<li><p><strong>use_pbc_single</strong> (<em>bool</em>) – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Compute forces</p></li>
+<li><p><strong>otf_graph</strong> (<em>bool</em>) – Compute graph On The Fly (OTF)</p></li>
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Maximum number of neighbors per atom</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Maximum distance between nieghboring atoms in Angstroms</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum atomic number</p></li>
+<li><p><strong>num_layers</strong> (<em>int</em>) – Number of layers in the GNN</p></li>
+<li><p><strong>lmax_list</strong> (<em>int</em>) – List of maximum degree of the spherical harmonics (1 to 10)</p></li>
+<li><p><strong>mmax_list</strong> (<em>int</em>) – List of maximum order of the spherical harmonics (0 to lmax)</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels (one set per resolution)</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden units in message passing</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integration of the sphere in the output blocks</p></li>
+<li><p><strong>edge_channels</strong> (<em>int</em>) – Number of channels for the edge invariant features</p></li>
+<li><p><strong>distance_function</strong> (<em>&quot;gaussian&quot;</em><em>, </em><em>&quot;sigmoid&quot;</em><em>, </em><em>&quot;linearsigmoid&quot;</em><em>, </em><em>&quot;silu&quot;</em>) – Basis function used for distances</p></li>
+<li><p><strong>basis_width_scalar</strong> (<em>float</em>) – Width of distance basis function</p></li>
+<li><p><strong>distance_resolution</strong> (<em>float</em>) – Distance between distance basis functions in Angstroms</p></li>
+<li><p><strong>show_timing_info</strong> (<em>bool</em>) – Show timing and memory info</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.activation_checkpoint">
+<span class="sig-name descname"><span class="pre">activation_checkpoint</span></span><a class="headerlink" href="#core.models.escn.eSCN.activation_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.escn.eSCN.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.escn.eSCN.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.escn.eSCN.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.escn.eSCN.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.escn.eSCN.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.show_timing_info">
+<span class="sig-name descname"><span class="pre">show_timing_info</span></span><a class="headerlink" href="#core.models.escn.eSCN.show_timing_info" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.escn.eSCN.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.escn.eSCN.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.num_layers">
+<span class="sig-name descname"><span class="pre">num_layers</span></span><a class="headerlink" href="#core.models.escn.eSCN.num_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.num_atoms">
+<span class="sig-name descname"><span class="pre">num_atoms</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.escn.eSCN.num_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.escn.eSCN.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.escn.eSCN.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.escn.eSCN.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.edge_channels">
+<span class="sig-name descname"><span class="pre">edge_channels</span></span><a class="headerlink" href="#core.models.escn.eSCN.edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.distance_resolution">
+<span class="sig-name descname"><span class="pre">distance_resolution</span></span><a class="headerlink" href="#core.models.escn.eSCN.distance_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.grad_forces">
+<span class="sig-name descname"><span class="pre">grad_forces</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.escn.eSCN.grad_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.escn.eSCN.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.escn.eSCN.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.escn.eSCN.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.sphere_channels_all">
+<span class="sig-name descname"><span class="pre">sphere_channels_all</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.escn.eSCN.sphere_channels_all" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.basis_width_scalar">
+<span class="sig-name descname"><span class="pre">basis_width_scalar</span></span><a class="headerlink" href="#core.models.escn.eSCN.basis_width_scalar" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.distance_function">
+<span class="sig-name descname"><span class="pre">distance_function</span></span><a class="headerlink" href="#core.models.escn.eSCN.distance_function" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.counter">
+<span class="sig-name descname"><span class="pre">counter</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.escn.eSCN.counter" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.escn.eSCN.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.sphere_embedding">
+<span class="sig-name descname"><span class="pre">sphere_embedding</span></span><a class="headerlink" href="#core.models.escn.eSCN.sphere_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.num_gaussians">
+<span class="sig-name descname"><span class="pre">num_gaussians</span></span><a class="headerlink" href="#core.models.escn.eSCN.num_gaussians" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.SO3_grid">
+<span class="sig-name descname"><span class="pre">SO3_grid</span></span><a class="headerlink" href="#core.models.escn.eSCN.SO3_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.layer_blocks">
+<span class="sig-name descname"><span class="pre">layer_blocks</span></span><a class="headerlink" href="#core.models.escn.eSCN.layer_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.energy_block">
+<span class="sig-name descname"><span class="pre">energy_block</span></span><a class="headerlink" href="#core.models.escn.eSCN.energy_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.sphere_points">
+<span class="sig-name descname"><span class="pre">sphere_points</span></span><a class="headerlink" href="#core.models.escn.eSCN.sphere_points" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.sphharm_weights">
+<span class="sig-name descname"><span class="pre">sphharm_weights</span></span><a class="headerlink" href="#core.models.escn.eSCN.sphharm_weights" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.eSCN.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.eSCN._init_edge_rot_mat">
+<span class="sig-name descname"><span class="pre">_init_edge_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.eSCN._init_edge_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.escn.eSCN.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.escn.eSCN.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+        predefinedOutput: true
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+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN"><code class="docutils literal notranslate"><span class="pre">eSCN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.activation_checkpoint"><code class="docutils literal notranslate"><span class="pre">eSCN.activation_checkpoint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.regress_forces"><code class="docutils literal notranslate"><span class="pre">eSCN.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.eSCN.use_pbc"><code class="docutils literal notranslate"><span class="pre">eSCN.use_pbc</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3._Jd"><code class="docutils literal notranslate"><span class="pre">_Jd</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.lmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.mmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.num_resolutions"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.device"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.l_harmonic"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.l_harmonic</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.m_harmonic"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.m_harmonic</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.m_complex"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.m_complex</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.res_size"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.res_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.to_m"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.to_m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.m_size"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.m_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.complex_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.complex_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.coefficient_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.coefficient_idx()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.num_channels"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.device"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.dtype"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.dtype</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.num_coefficients"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_coefficients</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.clone"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.clone()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.set_embedding"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.set_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.set_lmax_mmax"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.set_lmax_mmax()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._expand_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._expand_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.expand_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.expand_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._reduce_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._reduce_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._m_primary"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._m_primary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._l_primary"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._l_primary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._rotate"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._rotate_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._rotate_inv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._grid_act"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._grid_act()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.to_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.to_grid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._from_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._from_grid()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.device"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.dtype"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.dtype</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.wigner"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.wigner</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.wigner_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.wigner_inv</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.set_lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.set_lmax()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.rotate"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.rotate_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.rotate_inv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.RotationToWignerDMatrix"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.RotationToWignerDMatrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.wigner_D"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.wigner_D()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation._z_rot_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation._z_rot_mat()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.mmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.lat_resolution"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lat_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.initialized"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.initialized</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid._initialize"><code class="docutils literal notranslate"><span class="pre">SO3_Grid._initialize()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.get_to_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_to_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.get_from_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_from_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.to_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.to_grid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.from_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.from_grid()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.escn.so3">
+<span id="core-models-escn-so3"></span><h1>core.models.escn.so3<a class="headerlink" href="#module-core.models.escn.so3" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.so3._Jd" title="core.models.escn.so3._Jd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_Jd</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.so3.CoefficientMapping" title="core.models.escn.so3.CoefficientMapping"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CoefficientMapping</span></code></a></p></td>
+<td><p>Helper functions for coefficients used to reshape l&lt;--&gt;m and to get coefficients of specific degree or order</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.so3.SO3_Embedding" title="core.models.escn.so3.SO3_Embedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO3_Embedding</span></code></a></p></td>
+<td><p>Helper functions for irreps embedding</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.so3.SO3_Rotation" title="core.models.escn.so3.SO3_Rotation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO3_Rotation</span></code></a></p></td>
+<td><p>Helper functions for Wigner-D rotations</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.so3.SO3_Grid" title="core.models.escn.so3.SO3_Grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO3_Grid</span></code></a></p></td>
+<td><p>Helper functions for grid representation of the irreps</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.escn.so3._Jd">
+<span class="sig-prename descclassname"><span class="pre">core.models.escn.so3.</span></span><span class="sig-name descname"><span class="pre">_Jd</span></span><a class="headerlink" href="#core.models.escn.so3._Jd" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.so3.</span></span><span class="sig-name descname"><span class="pre">CoefficientMapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping" title="Link to this definition">#</a></dt>
+<dd><p>Helper functions for coefficients used to reshape l&lt;–&gt;m and to get coefficients of specific degree or order</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>(</strong><strong>list</strong> (<em>mmax_list</em>) – int):   List of maximum degree of the spherical harmonics</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):   List of maximum order of the spherical harmonics</p></li>
+<li><p><strong>device</strong> – Device of the output</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.device">
+<span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.l_harmonic">
+<span class="sig-name descname"><span class="pre">l_harmonic</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.l_harmonic" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.m_harmonic">
+<span class="sig-name descname"><span class="pre">m_harmonic</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.m_harmonic" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.m_complex">
+<span class="sig-name descname"><span class="pre">m_complex</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.m_complex" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.res_size">
+<span class="sig-name descname"><span class="pre">res_size</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.res_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.to_m">
+<span class="sig-name descname"><span class="pre">to_m</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.to_m" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.m_size">
+<span class="sig-name descname"><span class="pre">m_size</span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.m_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.complex_idx">
+<span class="sig-name descname"><span class="pre">complex_idx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.complex_idx" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.CoefficientMapping.coefficient_idx">
+<span class="sig-name descname"><span class="pre">coefficient_idx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3.CoefficientMapping.coefficient_idx" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.so3.</span></span><span class="sig-name descname"><span class="pre">SO3_Embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.device</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.dtype</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Helper functions for irreps embedding</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>length</strong> (<em>int</em>) – Batch size</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>lmax_list</em>) – int):   List of maximum degree of the spherical harmonics</p></li>
+<li><p><strong>num_channels</strong> (<em>int</em>) – Number of channels</p></li>
+<li><p><strong>device</strong> – Device of the output</p></li>
+<li><p><strong>dtype</strong> – type of the output tensors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.num_channels">
+<span class="sig-name descname"><span class="pre">num_channels</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.num_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.device">
+<span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.dtype">
+<span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.dtype" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.num_coefficients">
+<span class="sig-name descname"><span class="pre">num_coefficients</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.num_coefficients" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.clone">
+<span class="sig-name descname"><span class="pre">clone</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#core.models.escn.so3.SO3_Embedding" title="core.models.escn.so3.SO3_Embedding"><span class="pre">SO3_Embedding</span></a></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.clone" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.set_embedding">
+<span class="sig-name descname"><span class="pre">set_embedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">embedding</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.set_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.set_lmax_mmax">
+<span class="sig-name descname"><span class="pre">set_lmax_mmax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.set_lmax_mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding._expand_edge">
+<span class="sig-name descname"><span class="pre">_expand_edge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding._expand_edge" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.expand_edge">
+<span class="sig-name descname"><span class="pre">expand_edge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#core.models.escn.so3.SO3_Embedding" title="core.models.escn.so3.SO3_Embedding"><span class="pre">SO3_Embedding</span></a></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.expand_edge" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding._reduce_edge">
+<span class="sig-name descname"><span class="pre">_reduce_edge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding._reduce_edge" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding._m_primary">
+<span class="sig-name descname"><span class="pre">_m_primary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mapping</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding._m_primary" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding._l_primary">
+<span class="sig-name descname"><span class="pre">_l_primary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mapping</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding._l_primary" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding._rotate">
+<span class="sig-name descname"><span class="pre">_rotate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SO3_rotation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding._rotate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding._rotate_inv">
+<span class="sig-name descname"><span class="pre">_rotate_inv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SO3_rotation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding._rotate_inv" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding._grid_act">
+<span class="sig-name descname"><span class="pre">_grid_act</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mappingReduced</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding._grid_act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding.to_grid">
+<span class="sig-name descname"><span class="pre">to_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding.to_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Embedding._from_grid">
+<span class="sig-name descname"><span class="pre">_from_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SO3_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Embedding._from_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.so3.</span></span><span class="sig-name descname"><span class="pre">SO3_Rotation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rot_mat3x3</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Helper functions for Wigner-D rotations</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>rot_mat3x3</strong> (<em>tensor</em>) – Rotation matrix</p></li>
+<li><p><strong>(</strong><strong>list</strong> (<em>lmax_list</em>) – int):   List of maximum degree of the spherical harmonics</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation.device">
+<span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation.device" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation.dtype">
+<span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation.dtype" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation.wigner">
+<span class="sig-name descname"><span class="pre">wigner</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation.wigner" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation.wigner_inv">
+<span class="sig-name descname"><span class="pre">wigner_inv</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation.wigner_inv" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation.set_lmax">
+<span class="sig-name descname"><span class="pre">set_lmax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation.set_lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation.rotate">
+<span class="sig-name descname"><span class="pre">rotate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">embedding</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_lmax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_mmax</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation.rotate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation.rotate_inv">
+<span class="sig-name descname"><span class="pre">rotate_inv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">embedding</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">in_lmax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">in_mmax</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation.rotate_inv" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation.RotationToWignerDMatrix">
+<span class="sig-name descname"><span class="pre">RotationToWignerDMatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_rot_mat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation.RotationToWignerDMatrix" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation.wigner_D">
+<span class="sig-name descname"><span class="pre">wigner_D</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lval</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gamma</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation.wigner_D" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Rotation._z_rot_mat">
+<span class="sig-name descname"><span class="pre">_z_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">angle</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Rotation._z_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.so3.</span></span><span class="sig-name descname"><span class="pre">SO3_Grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3.SO3_Grid" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Helper functions for grid representation of the irreps</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lmax</strong> (<em>int</em>) – Maximum degree of the spherical harmonics</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – Maximum order of the spherical harmonics</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Grid.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Grid.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid.lat_resolution">
+<span class="sig-name descname"><span class="pre">lat_resolution</span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Grid.lat_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid.initialized">
+<span class="sig-name descname"><span class="pre">initialized</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.escn.so3.SO3_Grid.initialized" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid._initialize">
+<span class="sig-name descname"><span class="pre">_initialize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.device</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Grid._initialize" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid.get_to_grid_mat">
+<span class="sig-name descname"><span class="pre">get_to_grid_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.device</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3.SO3_Grid.get_to_grid_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid.get_from_grid_mat">
+<span class="sig-name descname"><span class="pre">get_from_grid_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.device</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3.SO3_Grid.get_from_grid_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid.to_grid">
+<span class="sig-name descname"><span class="pre">to_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Grid.to_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3.SO3_Grid.from_grid">
+<span class="sig-name descname"><span class="pre">from_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3.SO3_Grid.from_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3._Jd"><code class="docutils literal notranslate"><span class="pre">_Jd</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.lmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.mmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.num_resolutions"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.device"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.l_harmonic"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.l_harmonic</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.m_harmonic"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.m_harmonic</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.m_complex"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.m_complex</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.res_size"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.res_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.to_m"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.to_m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.m_size"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.m_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.complex_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.complex_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.CoefficientMapping.coefficient_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.coefficient_idx()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.num_channels"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.device"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.dtype"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.dtype</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.num_resolutions"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.num_coefficients"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.num_coefficients</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.clone"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.clone()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.set_embedding"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.set_embedding()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.set_lmax_mmax"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.set_lmax_mmax()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._expand_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._expand_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.expand_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.expand_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._reduce_edge"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._reduce_edge()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._m_primary"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._m_primary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._l_primary"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._l_primary()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._rotate"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._rotate_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._rotate_inv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._grid_act"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._grid_act()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding.to_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding.to_grid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Embedding._from_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Embedding._from_grid()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.device"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.device</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.dtype"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.dtype</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.wigner"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.wigner</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.wigner_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.wigner_inv</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.set_lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.set_lmax()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.rotate"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.rotate_inv"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.rotate_inv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.RotationToWignerDMatrix"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.RotationToWignerDMatrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation.wigner_D"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation.wigner_D()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Rotation._z_rot_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Rotation._z_rot_mat()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.mmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.lat_resolution"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lat_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.initialized"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.initialized</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid._initialize"><code class="docutils literal notranslate"><span class="pre">SO3_Grid._initialize()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.get_to_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_to_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.get_from_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_from_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.to_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.to_grid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3.SO3_Grid.from_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.from_grid()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
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+    <h1>core.models.escn.so3_exportable</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.wigner_D"><code class="docutils literal notranslate"><span class="pre">wigner_D()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable._z_rot_mat"><code class="docutils literal notranslate"><span class="pre">_z_rot_mat()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.rotation_to_wigner"><code class="docutils literal notranslate"><span class="pre">rotation_to_wigner()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.lmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.mmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.num_resolutions"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.res_size"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.res_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.m_size"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.m_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.complex_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.complex_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.pre_compute_coefficient_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.pre_compute_coefficient_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.prepare_coefficient_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.prepare_coefficient_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.coefficient_idx"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.coefficient_idx()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.pre_compute_rotate_inv_rescale"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.pre_compute_rotate_inv_rescale()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.__repr__"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.__repr__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.SO3_Grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.SO3_Grid.lmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.SO3_Grid.mmax"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.SO3_Grid.lat_resolution"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.lat_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.SO3_Grid.mapping"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.mapping</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.SO3_Grid.get_to_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_to_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.SO3_Grid.get_from_grid_mat"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.get_from_grid_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.SO3_Grid.to_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.to_grid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.SO3_Grid.from_grid"><code class="docutils literal notranslate"><span class="pre">SO3_Grid.from_grid()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.escn.so3_exportable">
+<span id="core-models-escn-so3-exportable"></span><h1>core.models.escn.so3_exportable<a class="headerlink" href="#module-core.models.escn.so3_exportable" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.so3_exportable.CoefficientMapping" title="core.models.escn.so3_exportable.CoefficientMapping"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CoefficientMapping</span></code></a></p></td>
+<td><p>Helper module for coefficients used to reshape l &lt;--&gt; m and to get coefficients of specific degree or order</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.so3_exportable.SO3_Grid" title="core.models.escn.so3_exportable.SO3_Grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SO3_Grid</span></code></a></p></td>
+<td><p>Helper functions for grid representation of the irreps</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.so3_exportable.wigner_D" title="core.models.escn.so3_exportable.wigner_D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wigner_D</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.escn.so3_exportable._z_rot_mat" title="core.models.escn.so3_exportable._z_rot_mat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_z_rot_mat</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.escn.so3_exportable.rotation_to_wigner" title="core.models.escn.so3_exportable.rotation_to_wigner"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rotation_to_wigner</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.wigner_D">
+<span class="sig-prename descclassname"><span class="pre">core.models.escn.so3_exportable.</span></span><span class="sig-name descname"><span class="pre">wigner_D</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gamma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_Jd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3_exportable.wigner_D" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable._z_rot_mat">
+<span class="sig-prename descclassname"><span class="pre">core.models.escn.so3_exportable.</span></span><span class="sig-name descname"><span class="pre">_z_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">angle</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3_exportable._z_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.rotation_to_wigner">
+<span class="sig-prename descclassname"><span class="pre">core.models.escn.so3_exportable.</span></span><span class="sig-name descname"><span class="pre">rotation_to_wigner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_rot_mat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Jd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.escn.so3_exportable.rotation_to_wigner" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.so3_exportable.</span></span><span class="sig-name descname"><span class="pre">CoefficientMapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax_list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Helper module for coefficients used to reshape l &lt;–&gt; m and to get coefficients of specific degree or order</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>(</strong><strong>list</strong> (<em>mmax_list</em>) – int):   List of maximum degree of the spherical harmonics</p></li>
+<li><p><strong>(</strong><strong>list</strong> – int):   List of maximum order of the spherical harmonics</p></li>
+<li><p><strong>use_rotate_inv_rescale</strong> (<em>bool</em>) – Whether to pre-compute inverse rotation rescale matrices</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.lmax_list">
+<span class="sig-name descname"><span class="pre">lmax_list</span></span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.lmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.mmax_list">
+<span class="sig-name descname"><span class="pre">mmax_list</span></span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.mmax_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.res_size">
+<span class="sig-name descname"><span class="pre">res_size</span></span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.res_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.m_size">
+<span class="sig-name descname"><span class="pre">m_size</span></span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.m_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.complex_idx">
+<span class="sig-name descname"><span class="pre">complex_idx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_complex</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">l_harmonic</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.complex_idx" title="Link to this definition">#</a></dt>
+<dd><p>Add <cite>m_complex</cite> and <cite>l_harmonic</cite> to the input arguments
+since we cannot use <cite>self.m_complex</cite>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.pre_compute_coefficient_idx">
+<span class="sig-name descname"><span class="pre">pre_compute_coefficient_idx</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.pre_compute_coefficient_idx" title="Link to this definition">#</a></dt>
+<dd><p>Pre-compute the results of <cite>coefficient_idx()</cite> and access them with <cite>prepare_coefficient_idx()</cite></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.prepare_coefficient_idx">
+<span class="sig-name descname"><span class="pre">prepare_coefficient_idx</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.prepare_coefficient_idx" title="Link to this definition">#</a></dt>
+<dd><p>Construct a list of buffers</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.coefficient_idx">
+<span class="sig-name descname"><span class="pre">coefficient_idx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.coefficient_idx" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.pre_compute_rotate_inv_rescale">
+<span class="sig-name descname"><span class="pre">pre_compute_rotate_inv_rescale</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.pre_compute_rotate_inv_rescale" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.CoefficientMapping.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.CoefficientMapping.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.SO3_Grid">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.escn.so3_exportable.</span></span><span class="sig-name descname"><span class="pre">SO3_Grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalization</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'integral'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rescale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.SO3_Grid" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Helper functions for grid representation of the irreps</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lmax</strong> (<em>int</em>) – Maximum degree of the spherical harmonics</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – Maximum order of the spherical harmonics</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.SO3_Grid.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.escn.so3_exportable.SO3_Grid.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.SO3_Grid.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.escn.so3_exportable.SO3_Grid.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.SO3_Grid.lat_resolution">
+<span class="sig-name descname"><span class="pre">lat_resolution</span></span><a class="headerlink" href="#core.models.escn.so3_exportable.SO3_Grid.lat_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.SO3_Grid.mapping">
+<span class="sig-name descname"><span class="pre">mapping</span></span><a class="headerlink" href="#core.models.escn.so3_exportable.SO3_Grid.mapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.SO3_Grid.get_to_grid_mat">
+<span class="sig-name descname"><span class="pre">get_to_grid_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.SO3_Grid.get_to_grid_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.SO3_Grid.get_from_grid_mat">
+<span class="sig-name descname"><span class="pre">get_from_grid_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.SO3_Grid.get_from_grid_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.SO3_Grid.to_grid">
+<span class="sig-name descname"><span class="pre">to_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">embedding</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.SO3_Grid.to_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.escn.so3_exportable.SO3_Grid.from_grid">
+<span class="sig-name descname"><span class="pre">from_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.escn.so3_exportable.SO3_Grid.from_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.wigner_D"><code class="docutils literal notranslate"><span class="pre">wigner_D()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable._z_rot_mat"><code class="docutils literal notranslate"><span class="pre">_z_rot_mat()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.rotation_to_wigner"><code class="docutils literal notranslate"><span class="pre">rotation_to_wigner()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.lmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.lmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.mmax_list"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.mmax_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.escn.so3_exportable.CoefficientMapping.num_resolutions"><code class="docutils literal notranslate"><span class="pre">CoefficientMapping.num_resolutions</span></code></a></li>
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+    <h1>core.models.gemnet.gemnet</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT"><code class="docutils literal notranslate"><span class="pre">GemNetT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.num_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetT.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.cutoff"><code class="docutils literal notranslate"><span class="pre">GemNetT.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.max_neighbors"><code class="docutils literal notranslate"><span class="pre">GemNetT.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetT.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.otf_graph"><code class="docutils literal notranslate"><span class="pre">GemNetT.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.use_pbc"><code class="docutils literal notranslate"><span class="pre">GemNetT.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GemNetT.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetT.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.radial_basis"><code class="docutils literal notranslate"><span class="pre">GemNetT.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.cbf_basis3"><code class="docutils literal notranslate"><span class="pre">GemNetT.cbf_basis3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.mlp_rbf3"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.mlp_cbf3"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_cbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.mlp_rbf_h"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.mlp_rbf_out"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.atom_emb"><code class="docutils literal notranslate"><span class="pre">GemNetT.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.edge_emb"><code class="docutils literal notranslate"><span class="pre">GemNetT.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.out_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.int_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.shared_parameters"><code class="docutils literal notranslate"><span class="pre">GemNetT.shared_parameters</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.get_triplets"><code class="docutils literal notranslate"><span class="pre">GemNetT.get_triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.reorder_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.reorder_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.select_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.select_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.generate_interaction_graph"><code class="docutils literal notranslate"><span class="pre">GemNetT.generate_interaction_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.forward"><code class="docutils literal notranslate"><span class="pre">GemNetT.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.num_params"><code class="docutils literal notranslate"><span class="pre">GemNetT.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTBackbone"><code class="docutils literal notranslate"><span class="pre">GemNetTBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTBackbone.forward"><code class="docutils literal notranslate"><span class="pre">GemNetTBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.forward"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTForceHead"><code class="docutils literal notranslate"><span class="pre">GemNetTForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetTForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTForceHead.forward"><code class="docutils literal notranslate"><span class="pre">GemNetTForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet.gemnet">
+<span id="core-models-gemnet-gemnet"></span><h1>core.models.gemnet.gemnet<a class="headerlink" href="#module-core.models.gemnet.gemnet" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.gemnet.GemNetT" title="core.models.gemnet.gemnet.GemNetT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetT</span></code></a></p></td>
+<td><p>GemNet-T, triplets-only variant of GemNet</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.gemnet.GemNetTBackbone" title="core.models.gemnet.gemnet.GemNetTBackbone"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetTBackbone</span></code></a></p></td>
+<td><p>GemNet-T, triplets-only variant of GemNet</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead" title="core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.gemnet.GemNetTForceHead" title="core.models.gemnet.gemnet.GemNetTForceHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetTForceHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.gemnet.</span></span><span class="sig-name descname"><span class="pre">GemNetT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_bil_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'swish'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">83</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>GemNet-T, triplets-only variant of GemNet</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks to be stacked.</p></li>
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip</strong> (<em>int</em>) – (Down-projected) Embedding size in the triplet message passing block.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_bil_trip</strong> (<em>int</em>) – Embedding size of the edge embeddings in the triplet-based message passing block after the bilinear layer.</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Whether to predict forces. Default: True</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If True predict forces based on aggregation of interatomic directions.
+If False predict forces based on negative gradient of energy potential.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Embedding cutoff for interactomic directions in Angstrom.</p></li>
+<li><p><strong>rbf</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function.</p></li>
+<li><p><strong>envelope</strong> (<em>dict</em>) – Name and hyperparameters of the envelope function.</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the cosine basis function.</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether the output should be extensive (proportional to the number of atoms)</p></li>
+<li><p><strong>output_init</strong> (<em>str</em>) – Initialization method for the final dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function.</p></li>
+<li><p><strong>scale_file</strong> (<em>str</em>) – Path to the json file containing the scaling factors.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.num_blocks">
+<span class="sig-name descname"><span class="pre">num_blocks</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.num_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.cbf_basis3">
+<span class="sig-name descname"><span class="pre">cbf_basis3</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.cbf_basis3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.mlp_rbf3">
+<span class="sig-name descname"><span class="pre">mlp_rbf3</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.mlp_rbf3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.mlp_cbf3">
+<span class="sig-name descname"><span class="pre">mlp_cbf3</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.mlp_cbf3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.mlp_rbf_h">
+<span class="sig-name descname"><span class="pre">mlp_rbf_h</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.mlp_rbf_h" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.mlp_rbf_out">
+<span class="sig-name descname"><span class="pre">mlp_rbf_out</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.mlp_rbf_out" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.atom_emb">
+<span class="sig-name descname"><span class="pre">atom_emb</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.atom_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.edge_emb">
+<span class="sig-name descname"><span class="pre">edge_emb</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.edge_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.out_blocks">
+<span class="sig-name descname"><span class="pre">out_blocks</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.out_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.int_blocks">
+<span class="sig-name descname"><span class="pre">int_blocks</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.int_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.shared_parameters">
+<span class="sig-name descname"><span class="pre">shared_parameters</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.shared_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.get_triplets">
+<span class="sig-name descname"><span class="pre">get_triplets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.get_triplets" title="Link to this definition">#</a></dt>
+<dd><p>Get all b-&gt;a for each edge c-&gt;a.
+It is possible that b=c, as long as the edges are distinct.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>id3_ba</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices of input edge b-&gt;a of each triplet b-&gt;a&lt;-c</p></li>
+<li><p><strong>id3_ca</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices of output edge c-&gt;a of each triplet b-&gt;a&lt;-c</p></li>
+<li><p><strong>id3_ragged_idx</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices enumerating the copies of id3_ca for creating a padded matrix</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.select_symmetric_edges">
+<span class="sig-name descname"><span class="pre">select_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inverse_neg</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.select_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.reorder_symmetric_edges">
+<span class="sig-name descname"><span class="pre">reorder_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_dist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_vector</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.reorder_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd><p>Reorder edges to make finding counter-directional edges easier.</p>
+<p>Some edges are only present in one direction in the data,
+since every atom has a maximum number of neighbors. Since we only use i-&gt;j
+edges here, we lose some j-&gt;i edges and add others by
+making it symmetric.
+We could fix this by merging edge_index with its counter-edges,
+including the cell_offsets, and then running torch.unique.
+But this does not seem worth it.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.select_edges">
+<span class="sig-name descname"><span class="pre">select_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_dist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_vector</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.select_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.generate_interaction_graph">
+<span class="sig-name descname"><span class="pre">generate_interaction_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.generate_interaction_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetT.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetT.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTBackbone">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.gemnet.</span></span><span class="sig-name descname"><span class="pre">GemNetTBackbone</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_bil_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'swish'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">83</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTBackbone" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.models.gemnet.gemnet.GemNetT" title="core.models.gemnet.gemnet.GemNetT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetT</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.BackboneInterface</span></code></p>
+<p>GemNet-T, triplets-only variant of GemNet</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks to be stacked.</p></li>
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip</strong> (<em>int</em>) – (Down-projected) Embedding size in the triplet message passing block.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_bil_trip</strong> (<em>int</em>) – Embedding size of the edge embeddings in the triplet-based message passing block after the bilinear layer.</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Whether to predict forces. Default: True</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If True predict forces based on aggregation of interatomic directions.
+If False predict forces based on negative gradient of energy potential.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Embedding cutoff for interactomic directions in Angstrom.</p></li>
+<li><p><strong>rbf</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function.</p></li>
+<li><p><strong>envelope</strong> (<em>dict</em>) – Name and hyperparameters of the envelope function.</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the cosine basis function.</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether the output should be extensive (proportional to the number of atoms)</p></li>
+<li><p><strong>output_init</strong> (<em>str</em>) – Initialization method for the final dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function.</p></li>
+<li><p><strong>scale_file</strong> (<em>str</em>) – Path to the json file containing the scaling factors.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTBackbone.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTBackbone.forward" title="Link to this definition">#</a></dt>
+<dd><p>Backbone forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>embedding</strong> – Return backbone embeddings for the given input</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.gemnet.</span></span><span class="sig-name descname"><span class="pre">GemNetTEnergyAndGradForceHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTForceHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.gemnet.</span></span><span class="sig-name descname"><span class="pre">GemNetTForceHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTForceHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTForceHead.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTForceHead.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.gemnet.GemNetTForceHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.gemnet.gemnet.GemNetTForceHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+                </article>
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT"><code class="docutils literal notranslate"><span class="pre">GemNetT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.num_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetT.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.cutoff"><code class="docutils literal notranslate"><span class="pre">GemNetT.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.max_neighbors"><code class="docutils literal notranslate"><span class="pre">GemNetT.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetT.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.otf_graph"><code class="docutils literal notranslate"><span class="pre">GemNetT.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.use_pbc"><code class="docutils literal notranslate"><span class="pre">GemNetT.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GemNetT.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetT.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.radial_basis"><code class="docutils literal notranslate"><span class="pre">GemNetT.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.cbf_basis3"><code class="docutils literal notranslate"><span class="pre">GemNetT.cbf_basis3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.mlp_rbf3"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.mlp_cbf3"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_cbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.mlp_rbf_h"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.mlp_rbf_out"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.atom_emb"><code class="docutils literal notranslate"><span class="pre">GemNetT.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.edge_emb"><code class="docutils literal notranslate"><span class="pre">GemNetT.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.out_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.int_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.shared_parameters"><code class="docutils literal notranslate"><span class="pre">GemNetT.shared_parameters</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.get_triplets"><code class="docutils literal notranslate"><span class="pre">GemNetT.get_triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.reorder_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.reorder_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.select_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.select_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.generate_interaction_graph"><code class="docutils literal notranslate"><span class="pre">GemNetT.generate_interaction_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.forward"><code class="docutils literal notranslate"><span class="pre">GemNetT.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetT.num_params"><code class="docutils literal notranslate"><span class="pre">GemNetT.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTBackbone"><code class="docutils literal notranslate"><span class="pre">GemNetTBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTBackbone.forward"><code class="docutils literal notranslate"><span class="pre">GemNetTBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.forward"><code class="docutils literal notranslate"><span class="pre">GemNetTEnergyAndGradForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTForceHead"><code class="docutils literal notranslate"><span class="pre">GemNetTForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetTForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.gemnet.GemNetTForceHead.forward"><code class="docutils literal notranslate"><span class="pre">GemNetTForceHead.forward()</span></code></a></li>
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+    <h1>core.models.gemnet</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT"><code class="docutils literal notranslate"><span class="pre">GemNetT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.num_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetT.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.cutoff"><code class="docutils literal notranslate"><span class="pre">GemNetT.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.max_neighbors"><code class="docutils literal notranslate"><span class="pre">GemNetT.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetT.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.otf_graph"><code class="docutils literal notranslate"><span class="pre">GemNetT.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.use_pbc"><code class="docutils literal notranslate"><span class="pre">GemNetT.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GemNetT.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetT.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.radial_basis"><code class="docutils literal notranslate"><span class="pre">GemNetT.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.cbf_basis3"><code class="docutils literal notranslate"><span class="pre">GemNetT.cbf_basis3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.mlp_rbf3"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.mlp_cbf3"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_cbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.mlp_rbf_h"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.mlp_rbf_out"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.atom_emb"><code class="docutils literal notranslate"><span class="pre">GemNetT.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.edge_emb"><code class="docutils literal notranslate"><span class="pre">GemNetT.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.out_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.int_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.shared_parameters"><code class="docutils literal notranslate"><span class="pre">GemNetT.shared_parameters</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.get_triplets"><code class="docutils literal notranslate"><span class="pre">GemNetT.get_triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.reorder_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.reorder_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.select_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.select_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.generate_interaction_graph"><code class="docutils literal notranslate"><span class="pre">GemNetT.generate_interaction_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.forward"><code class="docutils literal notranslate"><span class="pre">GemNetT.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.num_params"><code class="docutils literal notranslate"><span class="pre">GemNetT.num_params</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet">
+<span id="core-models-gemnet"></span><h1>core.models.gemnet<a class="headerlink" href="#module-core.models.gemnet" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="gemnet/index.html">core.models.gemnet.gemnet</a></li>
+<li class="toctree-l1"><a class="reference internal" href="initializers/index.html">core.models.gemnet.initializers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="layers/index.html">core.models.gemnet.layers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="utils/index.html">core.models.gemnet.utils</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.GemNetT" title="core.models.gemnet.GemNetT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetT</span></code></a></p></td>
+<td><p>GemNet-T, triplets-only variant of GemNet</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.</span></span><span class="sig-name descname"><span class="pre">GemNetT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_bil_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'swish'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">83</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.GemNetT" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>GemNet-T, triplets-only variant of GemNet</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks to be stacked.</p></li>
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip</strong> (<em>int</em>) – (Down-projected) Embedding size in the triplet message passing block.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_bil_trip</strong> (<em>int</em>) – Embedding size of the edge embeddings in the triplet-based message passing block after the bilinear layer.</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Whether to predict forces. Default: True</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If True predict forces based on aggregation of interatomic directions.
+If False predict forces based on negative gradient of energy potential.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Embedding cutoff for interactomic directions in Angstrom.</p></li>
+<li><p><strong>rbf</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function.</p></li>
+<li><p><strong>envelope</strong> (<em>dict</em>) – Name and hyperparameters of the envelope function.</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the cosine basis function.</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether the output should be extensive (proportional to the number of atoms)</p></li>
+<li><p><strong>output_init</strong> (<em>str</em>) – Initialization method for the final dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function.</p></li>
+<li><p><strong>scale_file</strong> (<em>str</em>) – Path to the json file containing the scaling factors.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.num_blocks">
+<span class="sig-name descname"><span class="pre">num_blocks</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.num_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.cbf_basis3">
+<span class="sig-name descname"><span class="pre">cbf_basis3</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.cbf_basis3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.mlp_rbf3">
+<span class="sig-name descname"><span class="pre">mlp_rbf3</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.mlp_rbf3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.mlp_cbf3">
+<span class="sig-name descname"><span class="pre">mlp_cbf3</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.mlp_cbf3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.mlp_rbf_h">
+<span class="sig-name descname"><span class="pre">mlp_rbf_h</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.mlp_rbf_h" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.mlp_rbf_out">
+<span class="sig-name descname"><span class="pre">mlp_rbf_out</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.mlp_rbf_out" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.atom_emb">
+<span class="sig-name descname"><span class="pre">atom_emb</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.atom_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.edge_emb">
+<span class="sig-name descname"><span class="pre">edge_emb</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.edge_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.out_blocks">
+<span class="sig-name descname"><span class="pre">out_blocks</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.out_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.int_blocks">
+<span class="sig-name descname"><span class="pre">int_blocks</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.int_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.shared_parameters">
+<span class="sig-name descname"><span class="pre">shared_parameters</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.shared_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.get_triplets">
+<span class="sig-name descname"><span class="pre">get_triplets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.GemNetT.get_triplets" title="Link to this definition">#</a></dt>
+<dd><p>Get all b-&gt;a for each edge c-&gt;a.
+It is possible that b=c, as long as the edges are distinct.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>id3_ba</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices of input edge b-&gt;a of each triplet b-&gt;a&lt;-c</p></li>
+<li><p><strong>id3_ca</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices of output edge c-&gt;a of each triplet b-&gt;a&lt;-c</p></li>
+<li><p><strong>id3_ragged_idx</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices enumerating the copies of id3_ca for creating a padded matrix</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.select_symmetric_edges">
+<span class="sig-name descname"><span class="pre">select_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inverse_neg</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.select_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.reorder_symmetric_edges">
+<span class="sig-name descname"><span class="pre">reorder_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_dist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_vector</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.GemNetT.reorder_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd><p>Reorder edges to make finding counter-directional edges easier.</p>
+<p>Some edges are only present in one direction in the data,
+since every atom has a maximum number of neighbors. Since we only use i-&gt;j
+edges here, we lose some j-&gt;i edges and add others by
+making it symmetric.
+We could fix this by merging edge_index with its counter-edges,
+including the cell_offsets, and then running torch.unique.
+But this does not seem worth it.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.select_edges">
+<span class="sig-name descname"><span class="pre">select_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_dist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_vector</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.GemNetT.select_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.generate_interaction_graph">
+<span class="sig-name descname"><span class="pre">generate_interaction_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.GemNetT.generate_interaction_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.GemNetT.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.gemnet.GemNetT.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><a class="headerlink" href="#core.models.gemnet.GemNetT.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT"><code class="docutils literal notranslate"><span class="pre">GemNetT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.num_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetT.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.cutoff"><code class="docutils literal notranslate"><span class="pre">GemNetT.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.max_neighbors"><code class="docutils literal notranslate"><span class="pre">GemNetT.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetT.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.otf_graph"><code class="docutils literal notranslate"><span class="pre">GemNetT.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.use_pbc"><code class="docutils literal notranslate"><span class="pre">GemNetT.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GemNetT.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetT.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.radial_basis"><code class="docutils literal notranslate"><span class="pre">GemNetT.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.cbf_basis3"><code class="docutils literal notranslate"><span class="pre">GemNetT.cbf_basis3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.mlp_rbf3"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.mlp_cbf3"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_cbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.mlp_rbf_h"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.mlp_rbf_out"><code class="docutils literal notranslate"><span class="pre">GemNetT.mlp_rbf_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.atom_emb"><code class="docutils literal notranslate"><span class="pre">GemNetT.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.edge_emb"><code class="docutils literal notranslate"><span class="pre">GemNetT.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.out_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.int_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetT.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.shared_parameters"><code class="docutils literal notranslate"><span class="pre">GemNetT.shared_parameters</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.get_triplets"><code class="docutils literal notranslate"><span class="pre">GemNetT.get_triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.reorder_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.reorder_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.select_edges"><code class="docutils literal notranslate"><span class="pre">GemNetT.select_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.generate_interaction_graph"><code class="docutils literal notranslate"><span class="pre">GemNetT.generate_interaction_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.forward"><code class="docutils literal notranslate"><span class="pre">GemNetT.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.GemNetT.num_params"><code class="docutils literal notranslate"><span class="pre">GemNetT.num_params</span></code></a></li>
+</ul>
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+    <h1>core.models.gemnet.initializers</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.initializers._standardize"><code class="docutils literal notranslate"><span class="pre">_standardize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.initializers.he_orthogonal_init"><code class="docutils literal notranslate"><span class="pre">he_orthogonal_init()</span></code></a></li>
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+  <section id="module-core.models.gemnet.initializers">
+<span id="core-models-gemnet-initializers"></span><h1>core.models.gemnet.initializers<a class="headerlink" href="#module-core.models.gemnet.initializers" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.initializers._standardize" title="core.models.gemnet.initializers._standardize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_standardize</span></code></a>(kernel)</p></td>
+<td><p>Makes sure that N*Var(W) = 1 and E[W] = 0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.initializers.he_orthogonal_init" title="core.models.gemnet.initializers.he_orthogonal_init"><code class="xref py py-obj docutils literal notranslate"><span class="pre">he_orthogonal_init</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Generate a weight matrix with variance according to He (Kaiming) initialization.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.initializers._standardize">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.initializers.</span></span><span class="sig-name descname"><span class="pre">_standardize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">kernel</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.initializers._standardize" title="Link to this definition">#</a></dt>
+<dd><p>Makes sure that N*Var(W) = 1 and E[W] = 0</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.initializers.he_orthogonal_init">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.initializers.</span></span><span class="sig-name descname"><span class="pre">he_orthogonal_init</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.initializers.he_orthogonal_init" title="Link to this definition">#</a></dt>
+<dd><p>Generate a weight matrix with variance according to He (Kaiming) initialization.
+Based on a random (semi-)orthogonal matrix neural networks
+are expected to learn better when features are decorrelated
+(stated by eg. “Reducing overfitting in deep networks by decorrelating representations”,
+“Dropout: a simple way to prevent neural networks from overfitting”,
+“Exact solutions to the nonlinear dynamics of learning in deep linear neural networks”)</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.initializers._standardize"><code class="docutils literal notranslate"><span class="pre">_standardize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.initializers.he_orthogonal_init"><code class="docutils literal notranslate"><span class="pre">he_orthogonal_init()</span></code></a></li>
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+    <h1>core.models.gemnet.layers.atom_update_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.name"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.dense_rbf"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.dense_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.scale_sum"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.scale_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.layers"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.get_mlp"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.get_mlp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.forward"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock"><code class="docutils literal notranslate"><span class="pre">OutputBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.output_init"><code class="docutils literal notranslate"><span class="pre">OutputBlock.output_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.direct_forces"><code class="docutils literal notranslate"><span class="pre">OutputBlock.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.seq_energy"><code class="docutils literal notranslate"><span class="pre">OutputBlock.seq_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.out_energy"><code class="docutils literal notranslate"><span class="pre">OutputBlock.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">OutputBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.forward"><code class="docutils literal notranslate"><span class="pre">OutputBlock.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet.layers.atom_update_block">
+<span id="core-models-gemnet-layers-atom-update-block"></span><h1>core.models.gemnet.layers.atom_update_block<a class="headerlink" href="#module-core.models.gemnet.layers.atom_update_block" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock" title="core.models.gemnet.layers.atom_update_block.AtomUpdateBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a></p></td>
+<td><p>Aggregate the message embeddings of the atoms</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.atom_update_block.OutputBlock" title="core.models.gemnet.layers.atom_update_block.OutputBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OutputBlock</span></code></a></p></td>
+<td><p>Combines the atom update block and subsequent final dense layer.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.AtomUpdateBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.atom_update_block.</span></span><span class="sig-name descname"><span class="pre">AtomUpdateBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'atom_update'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Aggregate the message embeddings of the atoms</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_atom</strong> – Embedding size of the edges.</p></li>
+<li><p><strong>nHidden</strong> (<em>int</em>) – Number of residual blocks.</p></li>
+<li><p><strong>activation</strong> (<em>callable/str</em>) – Name of the activation function to use in the dense layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.name">
+<span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.dense_rbf">
+<span class="sig-name descname"><span class="pre">dense_rbf</span></span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.dense_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.scale_sum">
+<span class="sig-name descname"><span class="pre">scale_sum</span></span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.scale_sum" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.layers">
+<span class="sig-name descname"><span class="pre">layers</span></span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.get_mlp">
+<span class="sig-name descname"><span class="pre">get_mlp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">units_in</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">units</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.get_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_j</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>h</strong> – Atom embedding.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nAtoms, emb_size_atom)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.OutputBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.atom_update_block.</span></span><span class="sig-name descname"><span class="pre">OutputBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'output'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.OutputBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock" title="core.models.gemnet.layers.atom_update_block.AtomUpdateBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a></p>
+<p>Combines the atom update block and subsequent final dense layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_atom</strong> – Embedding size of the edges.</p></li>
+<li><p><strong>nHidden</strong> (<em>int</em>) – Number of residual blocks.</p></li>
+<li><p><strong>num_targets</strong> (<em>int</em>) – Number of targets.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers except for the final dense layer.</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If true directly predict forces without taking the gradient of the energy potential.</p></li>
+<li><p><strong>output_init</strong> (<em>int</em>) – Kernel initializer of the final dense layer.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.OutputBlock.output_init">
+<span class="sig-name descname"><span class="pre">output_init</span></span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.output_init" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.OutputBlock.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.OutputBlock.seq_energy">
+<span class="sig-name descname"><span class="pre">seq_energy</span></span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.seq_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.OutputBlock.out_energy">
+<span class="sig-name descname"><span class="pre">out_energy</span></span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.out_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.OutputBlock.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.atom_update_block.OutputBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_j</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>(E, F)</strong> (<em>tuple</em>)</p></li>
+<li><p><strong>- E</strong> (<em>torch.Tensor, shape=(nAtoms, num_targets)</em>)</p></li>
+<li><p><strong>- F</strong> (<em>torch.Tensor, shape=(nEdges, num_targets)</em>)</p></li>
+<li><p><em>Energy and force prediction</em></p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.name"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.dense_rbf"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.dense_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.scale_sum"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.scale_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.layers"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.get_mlp"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.get_mlp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.forward"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock"><code class="docutils literal notranslate"><span class="pre">OutputBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.output_init"><code class="docutils literal notranslate"><span class="pre">OutputBlock.output_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.direct_forces"><code class="docutils literal notranslate"><span class="pre">OutputBlock.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.seq_energy"><code class="docutils literal notranslate"><span class="pre">OutputBlock.seq_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.out_energy"><code class="docutils literal notranslate"><span class="pre">OutputBlock.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">OutputBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.atom_update_block.OutputBlock.forward"><code class="docutils literal notranslate"><span class="pre">OutputBlock.forward()</span></code></a></li>
+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.Dense"><code class="docutils literal notranslate"><span class="pre">Dense</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.Dense.linear"><code class="docutils literal notranslate"><span class="pre">Dense.linear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.Dense.reset_parameters"><code class="docutils literal notranslate"><span class="pre">Dense.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.Dense.forward"><code class="docutils literal notranslate"><span class="pre">Dense.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ScaledSiLU"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ScaledSiLU.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ScaledSiLU._activation"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU._activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ScaledSiLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.SiQU"><code class="docutils literal notranslate"><span class="pre">SiQU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.SiQU._activation"><code class="docutils literal notranslate"><span class="pre">SiQU._activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.SiQU.forward"><code class="docutils literal notranslate"><span class="pre">SiQU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ResidualLayer"><code class="docutils literal notranslate"><span class="pre">ResidualLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ResidualLayer.dense_mlp"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.dense_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ResidualLayer.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ResidualLayer.forward"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet.layers.base_layers">
+<span id="core-models-gemnet-layers-base-layers"></span><h1>core.models.gemnet.layers.base_layers<a class="headerlink" href="#module-core.models.gemnet.layers.base_layers" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.base_layers.Dense" title="core.models.gemnet.layers.base_layers.Dense"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Dense</span></code></a></p></td>
+<td><p>Combines dense layer with scaling for swish activation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.base_layers.ScaledSiLU" title="core.models.gemnet.layers.base_layers.ScaledSiLU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.base_layers.SiQU" title="core.models.gemnet.layers.base_layers.SiQU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SiQU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.base_layers.ResidualLayer" title="core.models.gemnet.layers.base_layers.ResidualLayer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ResidualLayer</span></code></a></p></td>
+<td><p>Residual block with output scaled by 1/sqrt(2).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.Dense">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">Dense</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.Dense" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Combines dense layer with scaling for swish activation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>units</strong> (<em>int</em>) – Output embedding size.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use.</p></li>
+<li><p><strong>bias</strong> (<em>bool</em>) – True if use bias.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.Dense.linear">
+<span class="sig-name descname"><span class="pre">linear</span></span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.Dense.linear" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.Dense.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initializer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">he_orthogonal_init</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.Dense.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.Dense.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.Dense.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.ScaledSiLU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">ScaledSiLU</span></span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.ScaledSiLU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.ScaledSiLU.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.ScaledSiLU.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.ScaledSiLU._activation">
+<span class="sig-name descname"><span class="pre">_activation</span></span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.ScaledSiLU._activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.ScaledSiLU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.ScaledSiLU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.SiQU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">SiQU</span></span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.SiQU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.SiQU._activation">
+<span class="sig-name descname"><span class="pre">_activation</span></span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.SiQU._activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.SiQU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.SiQU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.ResidualLayer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">ResidualLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">units</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nLayers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Dense</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">layer_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.ResidualLayer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Residual block with output scaled by 1/sqrt(2).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>units</strong> (<em>int</em>) – Output embedding size.</p></li>
+<li><p><strong>nLayers</strong> (<em>int</em>) – Number of dense layers.</p></li>
+<li><p><strong>layer_kwargs</strong> (<em>str</em>) – Keyword arguments for initializing the layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.ResidualLayer.dense_mlp">
+<span class="sig-name descname"><span class="pre">dense_mlp</span></span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.ResidualLayer.dense_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.ResidualLayer.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.ResidualLayer.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.base_layers.ResidualLayer.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.base_layers.ResidualLayer.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.Dense"><code class="docutils literal notranslate"><span class="pre">Dense</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.Dense.linear"><code class="docutils literal notranslate"><span class="pre">Dense.linear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.Dense.reset_parameters"><code class="docutils literal notranslate"><span class="pre">Dense.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.Dense.forward"><code class="docutils literal notranslate"><span class="pre">Dense.forward()</span></code></a></li>
+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ScaledSiLU"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ScaledSiLU.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ScaledSiLU._activation"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU._activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ScaledSiLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.forward()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.SiQU"><code class="docutils literal notranslate"><span class="pre">SiQU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.SiQU._activation"><code class="docutils literal notranslate"><span class="pre">SiQU._activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.SiQU.forward"><code class="docutils literal notranslate"><span class="pre">SiQU.forward()</span></code></a></li>
+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ResidualLayer"><code class="docutils literal notranslate"><span class="pre">ResidualLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ResidualLayer.dense_mlp"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.dense_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ResidualLayer.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.base_layers.ResidualLayer.forward"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.forward()</span></code></a></li>
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+    <h1>core.models.gemnet.layers.basis_utils</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.Jn"><code class="docutils literal notranslate"><span class="pre">Jn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.Jn_zeros"><code class="docutils literal notranslate"><span class="pre">Jn_zeros()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.spherical_bessel_formulas"><code class="docutils literal notranslate"><span class="pre">spherical_bessel_formulas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.bessel_basis"><code class="docutils literal notranslate"><span class="pre">bessel_basis()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.sph_harm_prefactor"><code class="docutils literal notranslate"><span class="pre">sph_harm_prefactor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.associated_legendre_polynomials"><code class="docutils literal notranslate"><span class="pre">associated_legendre_polynomials()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.real_sph_harm"><code class="docutils literal notranslate"><span class="pre">real_sph_harm()</span></code></a></li>
+</ul>
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+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet.layers.basis_utils">
+<span id="core-models-gemnet-layers-basis-utils"></span><h1>core.models.gemnet.layers.basis_utils<a class="headerlink" href="#module-core.models.gemnet.layers.basis_utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.basis_utils.Jn" title="core.models.gemnet.layers.basis_utils.Jn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Jn</span></code></a>(r, n)</p></td>
+<td><p>numerical spherical bessel functions of order n</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.basis_utils.Jn_zeros" title="core.models.gemnet.layers.basis_utils.Jn_zeros"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Jn_zeros</span></code></a>(n, k)</p></td>
+<td><p>Compute the first k zeros of the spherical bessel functions up to order n (excluded)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.basis_utils.spherical_bessel_formulas" title="core.models.gemnet.layers.basis_utils.spherical_bessel_formulas"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spherical_bessel_formulas</span></code></a>(n)</p></td>
+<td><p>Computes the sympy formulas for the spherical bessel functions up to order n (excluded)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.basis_utils.bessel_basis" title="core.models.gemnet.layers.basis_utils.bessel_basis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bessel_basis</span></code></a>(n, k)</p></td>
+<td><p>Compute the sympy formulas for the normalized and rescaled spherical bessel functions up to</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.basis_utils.sph_harm_prefactor" title="core.models.gemnet.layers.basis_utils.sph_harm_prefactor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sph_harm_prefactor</span></code></a>(l_degree, m_order)</p></td>
+<td><p>Computes the constant pre-factor for the spherical harmonic of degree l and order m.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.basis_utils.associated_legendre_polynomials" title="core.models.gemnet.layers.basis_utils.associated_legendre_polynomials"><code class="xref py py-obj docutils literal notranslate"><span class="pre">associated_legendre_polynomials</span></code></a>(L_maxdegree[, ...])</p></td>
+<td><p>Computes string formulas of the associated legendre polynomials up to degree L (excluded).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.basis_utils.real_sph_harm" title="core.models.gemnet.layers.basis_utils.real_sph_harm"><code class="xref py py-obj docutils literal notranslate"><span class="pre">real_sph_harm</span></code></a>(L_maxdegree, use_theta[, use_phi, ...])</p></td>
+<td><p>Computes formula strings of the the real part of the spherical harmonics up to degree L (excluded).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.basis_utils.Jn">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">Jn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">r</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.basis_utils.Jn" title="Link to this definition">#</a></dt>
+<dd><p>numerical spherical bessel functions of order n</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.basis_utils.Jn_zeros">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">Jn_zeros</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.basis_utils.Jn_zeros" title="Link to this definition">#</a></dt>
+<dd><p>Compute the first k zeros of the spherical bessel functions up to order n (excluded)</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.basis_utils.spherical_bessel_formulas">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">spherical_bessel_formulas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.basis_utils.spherical_bessel_formulas" title="Link to this definition">#</a></dt>
+<dd><p>Computes the sympy formulas for the spherical bessel functions up to order n (excluded)</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.basis_utils.bessel_basis">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">bessel_basis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.basis_utils.bessel_basis" title="Link to this definition">#</a></dt>
+<dd><p>Compute the sympy formulas for the normalized and rescaled spherical bessel functions up to
+order n (excluded) and maximum frequency k (excluded).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><dl class="simple">
+<dt>list</dt><dd><p>Bessel basis formulas taking in a single argument x.
+Has length n where each element has length k. -&gt; In total n*k many.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>bess_basis</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.basis_utils.sph_harm_prefactor">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">sph_harm_prefactor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">l_degree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_order</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.basis_utils.sph_harm_prefactor" title="Link to this definition">#</a></dt>
+<dd><p>Computes the constant pre-factor for the spherical harmonic of degree l and order m.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>l_degree</strong> (<em>int</em>) – Degree of the spherical harmonic. l &gt;= 0</p></li>
+<li><p><strong>m_order</strong> (<em>int</em>) – Order of the spherical harmonic. -l &lt;= m &lt;= l</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>factor</strong></p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.basis_utils.associated_legendre_polynomials">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">associated_legendre_polynomials</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">L_maxdegree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.basis_utils.associated_legendre_polynomials" title="Link to this definition">#</a></dt>
+<dd><p>Computes string formulas of the associated legendre polynomials up to degree L (excluded).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>L_maxdegree</strong> (<em>int</em>) – Degree up to which to calculate the associated legendre polynomials (degree L is excluded).</p></li>
+<li><p><strong>zero_m_only</strong> (<em>bool</em>) – If True only calculate the polynomials for the polynomials where m=0.</p></li>
+<li><p><strong>pos_m_only</strong> (<em>bool</em>) – If True only calculate the polynomials for the polynomials where m&gt;=0. Overwritten by zero_m_only.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>polynomials</strong> – Contains the sympy functions of the polynomials (in total L many if zero_m_only is True else L^2 many).</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.basis_utils.real_sph_harm">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">real_sph_harm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">L_maxdegree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_theta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_phi</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.basis_utils.real_sph_harm" title="Link to this definition">#</a></dt>
+<dd><p>Computes formula strings of the the real part of the spherical harmonics up to degree L (excluded).
+Variables are either spherical coordinates phi and theta (or cartesian coordinates x,y,z) on the UNIT SPHERE.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>L_maxdegree</strong> (<em>int</em>) – Degree up to which to calculate the spherical harmonics (degree L is excluded).</p></li>
+<li><p><strong>use_theta</strong> (<em>bool</em>) – <ul>
+<li><p>True: Expects the input of the formula strings to contain theta.</p></li>
+<li><p>False: Expects the input of the formula strings to contain z.</p></li>
+</ul>
+</p></li>
+<li><p><strong>use_phi</strong> (<em>bool</em>) – <ul>
+<li><p>True: Expects the input of the formula strings to contain phi.</p></li>
+<li><p>False: Expects the input of the formula strings to contain x and y.</p></li>
+</ul>
+<p>Does nothing if zero_m_only is True</p>
+</p></li>
+<li><p><strong>zero_m_only</strong> (<em>bool</em>) – If True only calculate the harmonics where m=0.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>Y_lm_real</strong> – Computes formula strings of the the real part of the spherical harmonics up
+to degree L (where degree L is not excluded).
+In total L^2 many sph harm exist up to degree L (excluded). However, if zero_m_only only is True then
+the total count is reduced to be only L many.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.Jn"><code class="docutils literal notranslate"><span class="pre">Jn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.Jn_zeros"><code class="docutils literal notranslate"><span class="pre">Jn_zeros()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.spherical_bessel_formulas"><code class="docutils literal notranslate"><span class="pre">spherical_bessel_formulas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.bessel_basis"><code class="docutils literal notranslate"><span class="pre">bessel_basis()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.sph_harm_prefactor"><code class="docutils literal notranslate"><span class="pre">sph_harm_prefactor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.associated_legendre_polynomials"><code class="docutils literal notranslate"><span class="pre">associated_legendre_polynomials()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.basis_utils.real_sph_harm"><code class="docutils literal notranslate"><span class="pre">real_sph_harm()</span></code></a></li>
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+    <h1>core.models.gemnet.layers.efficient</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_spherical"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.num_spherical</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_radial"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.num_radial</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.emb_size_interm"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.emb_size_interm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.reset_parameters"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.forward"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size_interm"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size_interm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.units_out"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.units_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.reset_parameters"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.forward"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet.layers.efficient">
+<span id="core-models-gemnet-layers-efficient"></span><h1>core.models.gemnet.layers.efficient<a class="headerlink" href="#module-core.models.gemnet.layers.efficient" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection" title="core.models.gemnet.layers.efficient.EfficientInteractionDownProjection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection</span></code></a></p></td>
+<td><p>Down projection in the efficient reformulation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear" title="core.models.gemnet.layers.efficient.EfficientInteractionBilinear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EfficientInteractionBilinear</span></code></a></p></td>
+<td><p>Efficient reformulation of the bilinear layer and subsequent summation.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionDownProjection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.efficient.</span></span><span class="sig-name descname"><span class="pre">EfficientInteractionDownProjection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_interm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Down projection in the efficient reformulation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_interm</strong> (<em>int</em>) – Intermediate embedding size (down-projection size).</p></li>
+<li><p><strong>kernel_initializer</strong> (<em>callable</em>) – Initializer of the weight matrix.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_spherical">
+<span class="sig-name descname"><span class="pre">num_spherical</span></span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_spherical" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_radial">
+<span class="sig-name descname"><span class="pre">num_radial</span></span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_radial" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.emb_size_interm">
+<span class="sig-name descname"><span class="pre">emb_size_interm</span></span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.emb_size_interm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_ca</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_ragged_idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>rbf</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>1</em><em>, </em><em>nEdges</em><em>, </em><em>num_radial</em><em>)</em>)</p></li>
+<li><p><strong>sph</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>nEdges</em><em>, </em><em>Kmax</em><em>, </em><em>num_spherical</em><em>)</em>)</p></li>
+<li><p><strong>id_ca</strong></p></li>
+<li><p><strong>id_ragged_idx</strong></p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>rbf_W1</strong> (<em>torch.Tensor, shape=(nEdges, emb_size_interm, num_spherical)</em>)</p></li>
+<li><p><strong>sph</strong> (<em>torch.Tensor, shape=(nEdges, Kmax, num_spherical)</em>) – Kmax = maximum number of neighbors of the edges</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionBilinear">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.efficient.</span></span><span class="sig-name descname"><span class="pre">EfficientInteractionBilinear</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_interm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">units_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Efficient reformulation of the bilinear layer and subsequent summation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>units_out</strong> (<em>int</em>) – Embedding output size of the bilinear layer.</p></li>
+<li><p><strong>kernel_initializer</strong> (<em>callable</em>) – Initializer of the weight matrix.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size">
+<span class="sig-name descname"><span class="pre">emb_size</span></span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size_interm">
+<span class="sig-name descname"><span class="pre">emb_size_interm</span></span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size_interm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionBilinear.units_out">
+<span class="sig-name descname"><span class="pre">units_out</span></span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.units_out" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionBilinear.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.efficient.EfficientInteractionBilinear.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">basis</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_reduce</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_ragged_idx</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>basis</strong></p></li>
+<li><p><strong>m</strong> (<em>quadruplets: m = m_db</em><em> , </em><em>triplets: m = m_ba</em>)</p></li>
+<li><p><strong>id_reduce</strong></p></li>
+<li><p><strong>id_ragged_idx</strong></p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>m_ca</strong> – Edge embeddings.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>torch.Tensor, shape=(nEdges, units_out)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_spherical"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.num_spherical</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_radial"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.num_radial</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.emb_size_interm"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.emb_size_interm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.reset_parameters"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.forward"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size_interm"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size_interm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.units_out"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.units_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.reset_parameters"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.forward"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.gemnet.layers.embedding_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding.emb_size"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding.embeddings"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.embeddings</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding.dense"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.dense</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.forward()</span></code></a></li>
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+                  
+  <section id="module-core.models.gemnet.layers.embedding_block">
+<span id="core-models-gemnet-layers-embedding-block"></span><h1>core.models.gemnet.layers.embedding_block<a class="headerlink" href="#module-core.models.gemnet.layers.embedding_block" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding" title="core.models.gemnet.layers.embedding_block.AtomEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomEmbedding</span></code></a></p></td>
+<td><p>Initial atom embeddings based on the atom type</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding" title="core.models.gemnet.layers.embedding_block.EdgeEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EdgeEmbedding</span></code></a></p></td>
+<td><p>Edge embedding based on the concatenation of atom embeddings and subsequent dense layer.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.embedding_block.AtomEmbedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.embedding_block.</span></span><span class="sig-name descname"><span class="pre">AtomEmbedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Initial atom embeddings based on the atom type</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>emb_size</strong> (<em>int</em>) – Atom embeddings size</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.embedding_block.AtomEmbedding.emb_size">
+<span class="sig-name descname"><span class="pre">emb_size</span></span><a class="headerlink" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding.emb_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.embedding_block.AtomEmbedding.embeddings">
+<span class="sig-name descname"><span class="pre">embeddings</span></span><a class="headerlink" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding.embeddings" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.embedding_block.AtomEmbedding.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">Z</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>h</strong> – Atom embeddings.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nAtoms, emb_size)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.embedding_block.EdgeEmbedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.embedding_block.</span></span><span class="sig-name descname"><span class="pre">EdgeEmbedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atom_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Edge embedding based on the concatenation of atom embeddings and subsequent dense layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size</strong> (<em>int</em>) – Embedding size after the dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Activation function used in the dense layer.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.embedding_block.EdgeEmbedding.dense">
+<span class="sig-name descname"><span class="pre">dense</span></span><a class="headerlink" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding.dense" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.embedding_block.EdgeEmbedding.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_s</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_t</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>h</strong></p></li>
+<li><p><strong>m_rbf</strong> (<em>shape</em><em> (</em><em>nEdges</em><em>, </em><em>nFeatures</em><em>)</em>) – in embedding block: m_rbf = rbf ; In interaction block: m_rbf = m_st</p></li>
+<li><p><strong>idx_s</strong></p></li>
+<li><p><strong>idx_t</strong></p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>m_st</strong> – Edge embeddings.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>torch.Tensor, shape=(nEdges, emb_size)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding.emb_size"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding.embeddings"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.embeddings</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.AtomEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.forward()</span></code></a></li>
+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding.dense"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.dense</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.embedding_block.EdgeEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.forward()</span></code></a></li>
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+    <h1>core.models.gemnet.layers.interaction_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.name"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.dense_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.trip_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.layers_before_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.layers_after_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.atom_update"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.atom_update</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.concat_layer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.residual_m"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.residual_m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.forward"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction"><code class="docutils literal notranslate"><span class="pre">TripletInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.name"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.dense_ba"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.dense_ba</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.scale_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_cbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.scale_cbf_sum"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_cbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ca"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ac"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ac</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.forward"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet.layers.interaction_block">
+<span id="core-models-gemnet-layers-interaction-block"></span><h1>core.models.gemnet.layers.interaction_block<a class="headerlink" href="#module-core.models.gemnet.layers.interaction_block" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly" title="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly"><code class="xref py py-obj docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly</span></code></a></p></td>
+<td><p>Interaction block for GemNet-T/dT.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.interaction_block.TripletInteraction" title="core.models.gemnet.layers.interaction_block.TripletInteraction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TripletInteraction</span></code></a></p></td>
+<td><p>Triplet-based message passing block.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.interaction_block.</span></span><span class="sig-name descname"><span class="pre">InteractionBlockTripletsOnly</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_bil_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'Interaction'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Interaction block for GemNet-T/dT.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip</strong> (<em>int</em>) – (Down-projected) Embedding size in the triplet message passing block.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_bil_trip</strong> (<em>int</em>) – Embedding size of the edge embeddings in the triplet-based message passing block after the bilinear layer.</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers except for the final dense layer.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.name">
+<span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca">
+<span class="sig-name descname"><span class="pre">dense_ca</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction">
+<span class="sig-name descname"><span class="pre">trip_interaction</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip">
+<span class="sig-name descname"><span class="pre">layers_before_skip</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip">
+<span class="sig-name descname"><span class="pre">layers_after_skip</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.atom_update">
+<span class="sig-name descname"><span class="pre">atom_update</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.atom_update" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer">
+<span class="sig-name descname"><span class="pre">concat_layer</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.residual_m">
+<span class="sig-name descname"><span class="pre">residual_m</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.residual_m" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ragged_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_swap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ba</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ca</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf_h</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_s</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_t</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>h</strong> (<em>torch.Tensor, shape=(nEdges, emb_size_atom)</em>) – Atom embeddings.</p></li>
+<li><p><strong>m</strong> (<em>torch.Tensor, shape=(nEdges, emb_size_edge)</em>) – Edge embeddings (c-&gt;a).</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.interaction_block.</span></span><span class="sig-name descname"><span class="pre">TripletInteraction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_bilinear</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'TripletInteraction'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Triplet-based message passing block.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip</strong> (<em>int</em>) – (Down-projected) Embedding size of the edge embeddings after the hadamard product with rbf.</p></li>
+<li><p><strong>emb_size_bilinear</strong> (<em>int</em>) – Embedding size of the edge embeddings after the bilinear layer.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers except for the final dense layer.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.name">
+<span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.dense_ba">
+<span class="sig-name descname"><span class="pre">dense_ba</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.dense_ba" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_rbf">
+<span class="sig-name descname"><span class="pre">mlp_rbf</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.scale_rbf">
+<span class="sig-name descname"><span class="pre">scale_rbf</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.scale_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_cbf">
+<span class="sig-name descname"><span class="pre">mlp_cbf</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_cbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.scale_cbf_sum">
+<span class="sig-name descname"><span class="pre">scale_cbf_sum</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.scale_cbf_sum" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.down_projection">
+<span class="sig-name descname"><span class="pre">down_projection</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.down_projection" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ca">
+<span class="sig-name descname"><span class="pre">up_projection_ca</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ca" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ac">
+<span class="sig-name descname"><span class="pre">up_projection_ac</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ac" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.interaction_block.TripletInteraction.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ragged_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_swap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ba</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ca</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>m</strong> – Edge embeddings (c-&gt;a).</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nEdges, emb_size_edge)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.name"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.dense_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.trip_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.layers_before_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.layers_after_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.atom_update"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.atom_update</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.concat_layer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.residual_m"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.residual_m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.forward"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction"><code class="docutils literal notranslate"><span class="pre">TripletInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.name"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.dense_ba"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.dense_ba</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.scale_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_cbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.scale_cbf_sum"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_cbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ca"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ac"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ac</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.interaction_block.TripletInteraction.forward"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+</ul>
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+    <h1>core.models.gemnet.layers.radial_basis</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.p"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.p</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.a"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.a</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.b"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.b</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.c"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.c</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.ExponentialEnvelope"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.ExponentialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.norm_const"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.norm_const</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.frequencies"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.frequencies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.forward"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis.pregamma"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.pregamma</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis.softplus"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.softplus</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis.forward"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.RadialBasis"><code class="docutils literal notranslate"><span class="pre">RadialBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.RadialBasis.inv_cutoff"><code class="docutils literal notranslate"><span class="pre">RadialBasis.inv_cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.RadialBasis.envelope"><code class="docutils literal notranslate"><span class="pre">RadialBasis.envelope</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.RadialBasis.forward"><code class="docutils literal notranslate"><span class="pre">RadialBasis.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet.layers.radial_basis">
+<span id="core-models-gemnet-layers-radial-basis"></span><h1>core.models.gemnet.layers.radial_basis<a class="headerlink" href="#module-core.models.gemnet.layers.radial_basis" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope" title="core.models.gemnet.layers.radial_basis.PolynomialEnvelope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PolynomialEnvelope</span></code></a></p></td>
+<td><p>Polynomial envelope function that ensures a smooth cutoff.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.radial_basis.ExponentialEnvelope" title="core.models.gemnet.layers.radial_basis.ExponentialEnvelope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExponentialEnvelope</span></code></a></p></td>
+<td><p>Exponential envelope function that ensures a smooth cutoff,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis" title="core.models.gemnet.layers.radial_basis.SphericalBesselBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SphericalBesselBasis</span></code></a></p></td>
+<td><p>1D spherical Bessel basis</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis" title="core.models.gemnet.layers.radial_basis.BernsteinBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BernsteinBasis</span></code></a></p></td>
+<td><p>Bernstein polynomial basis,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.radial_basis.RadialBasis" title="core.models.gemnet.layers.radial_basis.RadialBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RadialBasis</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.PolynomialEnvelope">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">PolynomialEnvelope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">exponent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Polynomial envelope function that ensures a smooth cutoff.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>exponent</strong> (<em>int</em>) – Exponent of the envelope function.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.PolynomialEnvelope.p">
+<span class="sig-name descname"><span class="pre">p</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.p" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.PolynomialEnvelope.a">
+<span class="sig-name descname"><span class="pre">a</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.a" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.PolynomialEnvelope.b">
+<span class="sig-name descname"><span class="pre">b</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.b" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.PolynomialEnvelope.c">
+<span class="sig-name descname"><span class="pre">c</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.c" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.PolynomialEnvelope.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.ExponentialEnvelope">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">ExponentialEnvelope</span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.ExponentialEnvelope" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Exponential envelope function that ensures a smooth cutoff,
+as proposed in Unke, Chmiela, Gastegger, Schütt, Sauceda, Müller 2021.
+SpookyNet: Learning Force Fields with Electronic Degrees of Freedom
+and Nonlocal Effects</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.ExponentialEnvelope.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.ExponentialEnvelope.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.SphericalBesselBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">SphericalBesselBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>1D spherical Bessel basis</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Cutoff distance in Angstrom.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.SphericalBesselBasis.norm_const">
+<span class="sig-name descname"><span class="pre">norm_const</span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.norm_const" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.SphericalBesselBasis.frequencies">
+<span class="sig-name descname"><span class="pre">frequencies</span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.frequencies" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.SphericalBesselBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.BernsteinBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">BernsteinBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pregamma_initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.45264</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Bernstein polynomial basis,
+as proposed in Unke, Chmiela, Gastegger, Schütt, Sauceda, Müller 2021.
+SpookyNet: Learning Force Fields with Electronic Degrees of Freedom
+and Nonlocal Effects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>pregamma_initial</strong> (<em>float</em>) – Initial value of exponential coefficient gamma.
+Default: gamma = 0.5 * a_0**-1 = 0.94486,
+inverse softplus -&gt; pregamma = log e**gamma - 1 = 0.45264</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.BernsteinBasis.pregamma">
+<span class="sig-name descname"><span class="pre">pregamma</span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis.pregamma" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.BernsteinBasis.softplus">
+<span class="sig-name descname"><span class="pre">softplus</span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis.softplus" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.BernsteinBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.RadialBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">RadialBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.RadialBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Cutoff distance in Angstrom.</p></li>
+<li><p><strong>rbf</strong> (<em>dict = {&quot;name&quot;: &quot;gaussian&quot;}</em>) – Basis function and its hyperparameters.</p></li>
+<li><p><strong>envelope</strong> (<em>dict = {&quot;name&quot;: &quot;polynomial&quot;</em><em>, </em><em>&quot;exponent&quot;: 5}</em>) – Envelope function and its hyperparameters.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.RadialBasis.inv_cutoff">
+<span class="sig-name descname"><span class="pre">inv_cutoff</span></span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.RadialBasis.inv_cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.RadialBasis.envelope">
+<span class="sig-name descname"><span class="pre">envelope</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope" title="core.models.gemnet.layers.radial_basis.PolynomialEnvelope"><span class="pre">PolynomialEnvelope</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="#core.models.gemnet.layers.radial_basis.ExponentialEnvelope" title="core.models.gemnet.layers.radial_basis.ExponentialEnvelope"><span class="pre">ExponentialEnvelope</span></a></em><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.RadialBasis.envelope" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.radial_basis.RadialBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.radial_basis.RadialBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.p"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.p</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.a"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.a</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.b"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.b</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.c"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.c</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.ExponentialEnvelope"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.ExponentialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.norm_const"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.norm_const</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.frequencies"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.frequencies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.forward"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis.pregamma"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.pregamma</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis.softplus"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.softplus</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.BernsteinBasis.forward"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.RadialBasis"><code class="docutils literal notranslate"><span class="pre">RadialBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.RadialBasis.inv_cutoff"><code class="docutils literal notranslate"><span class="pre">RadialBasis.inv_cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.RadialBasis.envelope"><code class="docutils literal notranslate"><span class="pre">RadialBasis.envelope</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.radial_basis.RadialBasis.forward"><code class="docutils literal notranslate"><span class="pre">RadialBasis.forward()</span></code></a></li>
+</ul>
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+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.spherical_basis.CircularBasisLayer"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.spherical_basis.CircularBasisLayer.radial_basis"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.spherical_basis.CircularBasisLayer.efficient"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.efficient</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.layers.spherical_basis.CircularBasisLayer.forward"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.forward()</span></code></a></li>
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+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet.layers.spherical_basis">
+<span id="core-models-gemnet-layers-spherical-basis"></span><h1>core.models.gemnet.layers.spherical_basis<a class="headerlink" href="#module-core.models.gemnet.layers.spherical_basis" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.layers.spherical_basis.CircularBasisLayer" title="core.models.gemnet.layers.spherical_basis.CircularBasisLayer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CircularBasisLayer</span></code></a></p></td>
+<td><p>2D Fourier Bessel Basis</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.spherical_basis.CircularBasisLayer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet.layers.spherical_basis.</span></span><span class="sig-name descname"><span class="pre">CircularBasisLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radial_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../radial_basis/index.html#core.models.gemnet.layers.radial_basis.RadialBasis" title="core.models.gemnet.layers.radial_basis.RadialBasis"><span class="pre">core.models.gemnet.layers.radial_basis.RadialBasis</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">efficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.spherical_basis.CircularBasisLayer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>2D Fourier Bessel Basis</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>radial_basis</strong> (<a class="reference internal" href="../radial_basis/index.html#core.models.gemnet.layers.radial_basis.RadialBasis" title="core.models.gemnet.layers.radial_basis.RadialBasis"><em>RadialBasis</em></a>) – Radial basis functions</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the cosine basis function</p></li>
+<li><p><strong>efficient</strong> (<em>bool</em>) – Whether to use the “efficient” summation order</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.spherical_basis.CircularBasisLayer.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.gemnet.layers.spherical_basis.CircularBasisLayer.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.spherical_basis.CircularBasisLayer.efficient">
+<span class="sig-name descname"><span class="pre">efficient</span></span><a class="headerlink" href="#core.models.gemnet.layers.spherical_basis.CircularBasisLayer.efficient" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet.layers.spherical_basis.CircularBasisLayer.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">D_ca</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cosφ_cab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ca</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.layers.spherical_basis.CircularBasisLayer.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    <h1>core.models.gemnet.utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.read_json"><code class="docutils literal notranslate"><span class="pre">read_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.update_json"><code class="docutils literal notranslate"><span class="pre">update_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.write_json"><code class="docutils literal notranslate"><span class="pre">write_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.read_value_json"><code class="docutils literal notranslate"><span class="pre">read_value_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.ragged_range"><code class="docutils literal notranslate"><span class="pre">ragged_range()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.repeat_blocks"><code class="docutils literal notranslate"><span class="pre">repeat_blocks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.calculate_interatomic_vectors"><code class="docutils literal notranslate"><span class="pre">calculate_interatomic_vectors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.inner_product_normalized"><code class="docutils literal notranslate"><span class="pre">inner_product_normalized()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.mask_neighbors"><code class="docutils literal notranslate"><span class="pre">mask_neighbors()</span></code></a></li>
+</ul>
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+</ul>
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+              
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet.utils">
+<span id="core-models-gemnet-utils"></span><h1>core.models.gemnet.utils<a class="headerlink" href="#module-core.models.gemnet.utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.utils.read_json" title="core.models.gemnet.utils.read_json"><code class="xref py py-obj docutils literal notranslate"><span class="pre">read_json</span></code></a>(path)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.utils.update_json" title="core.models.gemnet.utils.update_json"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_json</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.utils.write_json" title="core.models.gemnet.utils.write_json"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_json</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.utils.read_value_json" title="core.models.gemnet.utils.read_value_json"><code class="xref py py-obj docutils literal notranslate"><span class="pre">read_value_json</span></code></a>(path, key)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.utils.ragged_range" title="core.models.gemnet.utils.ragged_range"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ragged_range</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Multiple concatenated ranges.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.utils.repeat_blocks" title="core.models.gemnet.utils.repeat_blocks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">repeat_blocks</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Repeat blocks of indices.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.utils.calculate_interatomic_vectors" title="core.models.gemnet.utils.calculate_interatomic_vectors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calculate_interatomic_vectors</span></code></a>(→ tuple[torch.Tensor, ...)</p></td>
+<td><p>Calculate the vectors connecting the given atom pairs,</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet.utils.inner_product_normalized" title="core.models.gemnet.utils.inner_product_normalized"><code class="xref py py-obj docutils literal notranslate"><span class="pre">inner_product_normalized</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Calculate the inner product between the given normalized vectors,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet.utils.mask_neighbors" title="core.models.gemnet.utils.mask_neighbors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mask_neighbors</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.utils.read_json">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.utils.</span></span><span class="sig-name descname"><span class="pre">read_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.utils.read_json" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.utils.update_json">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.utils.</span></span><span class="sig-name descname"><span class="pre">update_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet.utils.update_json" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.utils.write_json">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.utils.</span></span><span class="sig-name descname"><span class="pre">write_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet.utils.write_json" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.utils.read_value_json">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.utils.</span></span><span class="sig-name descname"><span class="pre">read_value_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet.utils.read_value_json" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.utils.ragged_range">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.utils.</span></span><span class="sig-name descname"><span class="pre">ragged_range</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sizes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.utils.ragged_range" title="Link to this definition">#</a></dt>
+<dd><p>Multiple concatenated ranges.</p>
+<p class="rubric">Examples</p>
+<p>sizes = [1 4 2 3]
+Return: [0  0 1 2 3  0 1  0 1 2]</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.utils.repeat_blocks">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.utils.</span></span><span class="sig-name descname"><span class="pre">repeat_blocks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sizes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repeats</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">continuous_indexing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">block_inc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repeat_inc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.utils.repeat_blocks" title="Link to this definition">#</a></dt>
+<dd><p>Repeat blocks of indices.
+Adapted from <a class="reference external" href="https://stackoverflow.com/questions/51154989/numpy-vectorized-function-to-repeat-blocks-of-consecutive-elements">https://stackoverflow.com/questions/51154989/numpy-vectorized-function-to-repeat-blocks-of-consecutive-elements</a></p>
+<p>continuous_indexing: Whether to keep increasing the index after each block
+start_idx: Starting index
+block_inc: Number to increment by after each block,</p>
+<blockquote>
+<div><p>either global or per block. Shape: len(sizes) - 1</p>
+</div></blockquote>
+<dl class="simple">
+<dt>repeat_inc: Number to increment by after each repetition,</dt><dd><p>either global or per block</p>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<p>sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = False
+Return: [0 0 0  0 1 2 0 1 2  0 1 0 1 0 1]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True
+Return: [0 0 0  1 2 3 1 2 3  4 5 4 5 4 5]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+repeat_inc = 4
+Return: [0 4 8  1 2 3 5 6 7  4 5 8 9 12 13]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+start_idx = 5
+Return: [5 5 5  6 7 8 6 7 8  9 10 9 10 9 10]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+block_inc = 1
+Return: [0 0 0  2 3 4 2 3 4  6 7 6 7 6 7]
+sizes = [0,3,2] ; repeats = [3,2,3] ; continuous_indexing = True
+Return: [0 1 2 0 1 2  3 4 3 4 3 4]
+sizes = [2,3,2] ; repeats = [2,0,2] ; continuous_indexing = True
+Return: [0 1 0 1  5 6 5 6]</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.utils.calculate_interatomic_vectors">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.utils.</span></span><span class="sig-name descname"><span class="pre">calculate_interatomic_vectors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">R</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offsets_st</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.gemnet.utils.calculate_interatomic_vectors" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the vectors connecting the given atom pairs,
+considering offsets from periodic boundary conditions (PBC).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>R</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nAtoms</em><em>, </em><em>3</em><em>)</em>) – Atom positions.</p></li>
+<li><p><strong>id_s</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nEdges</em><em>,</em><em>)</em>) – Indices of the source atom of the edges.</p></li>
+<li><p><strong>id_t</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nEdges</em><em>,</em><em>)</em>) – Indices of the target atom of the edges.</p></li>
+<li><p><strong>offsets_st</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nEdges</em><em>,</em><em>)</em>) – PBC offsets of the edges.
+Subtract this from the correct direction.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><p><strong>(D_st, V_st)</strong> –</p>
+<dl class="simple">
+<dt>D_st: Tensor, shape = (nEdges,)</dt><dd><p>Distance from atom t to s.</p>
+</dd>
+<dt>V_st: Tensor, shape = (nEdges,)</dt><dd><p>Unit direction from atom t to s.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>tuple</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.utils.inner_product_normalized">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.utils.</span></span><span class="sig-name descname"><span class="pre">inner_product_normalized</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.utils.inner_product_normalized" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the inner product between the given normalized vectors,
+giving a result between -1 and 1.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet.utils.mask_neighbors">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet.utils.</span></span><span class="sig-name descname"><span class="pre">mask_neighbors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet.utils.mask_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.read_json"><code class="docutils literal notranslate"><span class="pre">read_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.update_json"><code class="docutils literal notranslate"><span class="pre">update_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.write_json"><code class="docutils literal notranslate"><span class="pre">write_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.read_value_json"><code class="docutils literal notranslate"><span class="pre">read_value_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.ragged_range"><code class="docutils literal notranslate"><span class="pre">ragged_range()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.repeat_blocks"><code class="docutils literal notranslate"><span class="pre">repeat_blocks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.calculate_interatomic_vectors"><code class="docutils literal notranslate"><span class="pre">calculate_interatomic_vectors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.inner_product_normalized"><code class="docutils literal notranslate"><span class="pre">inner_product_normalized()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet.utils.mask_neighbors"><code class="docutils literal notranslate"><span class="pre">mask_neighbors()</span></code></a></li>
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+    <h1>core.models.gemnet_gp.gemnet</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.extensive"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scale_num_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.scale_num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scatter_atoms"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.scatter_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cutoff"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.max_neighbors"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.regress_forces"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.otf_graph"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.direct_forces"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.radial_basis"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cbf_basis3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.cbf_basis3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_cbf3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_cbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_h"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_out"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.atom_emb"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.edge_emb"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.out_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.int_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.get_triplets"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.get_triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.reorder_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.reorder_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.select_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.generate_interaction_graph"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.generate_interaction_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.forward"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_params"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.num_params</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp.gemnet">
+<span id="core-models-gemnet-gp-gemnet"></span><h1>core.models.gemnet_gp.gemnet<a class="headerlink" href="#module-core.models.gemnet_gp.gemnet" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT" title="core.models.gemnet_gp.gemnet.GraphParallelGemNetT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GraphParallelGemNetT</span></code></a></p></td>
+<td><p>GemNet-T, triplets-only variant of GemNet</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.gemnet.</span></span><span class="sig-name descname"><span class="pre">GraphParallelGemNetT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_bil_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'swish'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scatter_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>GemNet-T, triplets-only variant of GemNet</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks to be stacked.</p></li>
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip</strong> (<em>int</em>) – (Down-projected) Embedding size in the triplet message passing block.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_bil_trip</strong> (<em>int</em>) – Embedding size of the edge embeddings in the triplet-based message passing block after the bilinear layer.</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Whether to predict forces. Default: True</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If True predict forces based on aggregation of interatomic directions.
+If False predict forces based on negative gradient of energy potential.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Embedding cutoff for interactomic directions in Angstrom.</p></li>
+<li><p><strong>rbf</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function.</p></li>
+<li><p><strong>envelope</strong> (<em>dict</em>) – Name and hyperparameters of the envelope function.</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the cosine basis function.</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether the output should be extensive (proportional to the number of atoms)</p></li>
+<li><p><strong>output_init</strong> (<em>str</em>) – Initialization method for the final dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function.</p></li>
+<li><p><strong>scale_file</strong> (<em>str</em>) – Path to the json file containing the scaling factors.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_blocks">
+<span class="sig-name descname"><span class="pre">num_blocks</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scale_num_blocks">
+<span class="sig-name descname"><span class="pre">scale_num_blocks</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scale_num_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scatter_atoms">
+<span class="sig-name descname"><span class="pre">scatter_atoms</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scatter_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cbf_basis3">
+<span class="sig-name descname"><span class="pre">cbf_basis3</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cbf_basis3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf3">
+<span class="sig-name descname"><span class="pre">mlp_rbf3</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_cbf3">
+<span class="sig-name descname"><span class="pre">mlp_cbf3</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_cbf3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_h">
+<span class="sig-name descname"><span class="pre">mlp_rbf_h</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_h" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_out">
+<span class="sig-name descname"><span class="pre">mlp_rbf_out</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_out" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.atom_emb">
+<span class="sig-name descname"><span class="pre">atom_emb</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.atom_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.edge_emb">
+<span class="sig-name descname"><span class="pre">edge_emb</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.edge_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.out_blocks">
+<span class="sig-name descname"><span class="pre">out_blocks</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.out_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.int_blocks">
+<span class="sig-name descname"><span class="pre">int_blocks</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.int_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.get_triplets">
+<span class="sig-name descname"><span class="pre">get_triplets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.get_triplets" title="Link to this definition">#</a></dt>
+<dd><p>Get all b-&gt;a for each edge c-&gt;a.
+It is possible that b=c, as long as the edges are distinct.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>id3_ba</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices of input edge b-&gt;a of each triplet b-&gt;a&lt;-c</p></li>
+<li><p><strong>id3_ca</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices of output edge c-&gt;a of each triplet b-&gt;a&lt;-c</p></li>
+<li><p><strong>id3_ragged_idx</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices enumerating the copies of id3_ca for creating a padded matrix</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_symmetric_edges">
+<span class="sig-name descname"><span class="pre">select_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inverse_neg</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.reorder_symmetric_edges">
+<span class="sig-name descname"><span class="pre">reorder_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_dist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_vector</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.reorder_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd><p>Reorder edges to make finding counter-directional edges easier.</p>
+<p>Some edges are only present in one direction in the data,
+since every atom has a maximum number of neighbors. Since we only use i-&gt;j
+edges here, we lose some j-&gt;i edges and add others by
+making it symmetric.
+We could fix this by merging edge_index with its counter-edges,
+including the cell_offsets, and then running torch.unique.
+But this does not seem worth it.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_edges">
+<span class="sig-name descname"><span class="pre">select_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_dist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_vector</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.generate_interaction_graph">
+<span class="sig-name descname"><span class="pre">generate_interaction_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.generate_interaction_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><a class="headerlink" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/models/gemnet_gp/gemnet"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.extensive"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scale_num_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.scale_num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scatter_atoms"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.scatter_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cutoff"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.max_neighbors"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.regress_forces"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.otf_graph"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.direct_forces"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.radial_basis"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cbf_basis3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.cbf_basis3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_cbf3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_cbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_h"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_out"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.atom_emb"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.edge_emb"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.out_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.int_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.get_triplets"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.get_triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.select_symmetric_edges()</span></code></a></li>
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+    <h1>core.models.gemnet_gp</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.num_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.extensive"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.scale_num_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.scale_num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.scatter_atoms"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.scatter_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.cutoff"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.max_neighbors"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.regress_forces"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.otf_graph"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.use_pbc"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.direct_forces"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.radial_basis"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.cbf_basis3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.cbf_basis3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_cbf3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_cbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_h"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_out"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.atom_emb"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.edge_emb"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.out_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.int_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.get_triplets"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.get_triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.reorder_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.reorder_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.select_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.select_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.generate_interaction_graph"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.generate_interaction_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.forward"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.num_params"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.num_params</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp">
+<span id="core-models-gemnet-gp"></span><h1>core.models.gemnet_gp<a class="headerlink" href="#module-core.models.gemnet_gp" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="gemnet/index.html">core.models.gemnet_gp.gemnet</a></li>
+<li class="toctree-l1"><a class="reference internal" href="initializers/index.html">core.models.gemnet_gp.initializers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="layers/index.html">core.models.gemnet_gp.layers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="utils/index.html">core.models.gemnet_gp.utils</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.GraphParallelGemNetT" title="core.models.gemnet_gp.GraphParallelGemNetT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GraphParallelGemNetT</span></code></a></p></td>
+<td><p>GemNet-T, triplets-only variant of GemNet</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.</span></span><span class="sig-name descname"><span class="pre">GraphParallelGemNetT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_bil_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'swish'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scatter_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>GemNet-T, triplets-only variant of GemNet</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks to be stacked.</p></li>
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip</strong> (<em>int</em>) – (Down-projected) Embedding size in the triplet message passing block.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_bil_trip</strong> (<em>int</em>) – Embedding size of the edge embeddings in the triplet-based message passing block after the bilinear layer.</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Whether to predict forces. Default: True</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If True predict forces based on aggregation of interatomic directions.
+If False predict forces based on negative gradient of energy potential.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Embedding cutoff for interactomic directions in Angstrom.</p></li>
+<li><p><strong>rbf</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function.</p></li>
+<li><p><strong>envelope</strong> (<em>dict</em>) – Name and hyperparameters of the envelope function.</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the cosine basis function.</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether the output should be extensive (proportional to the number of atoms)</p></li>
+<li><p><strong>output_init</strong> (<em>str</em>) – Initialization method for the final dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function.</p></li>
+<li><p><strong>scale_file</strong> (<em>str</em>) – Path to the json file containing the scaling factors.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.num_blocks">
+<span class="sig-name descname"><span class="pre">num_blocks</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.num_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.scale_num_blocks">
+<span class="sig-name descname"><span class="pre">scale_num_blocks</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.scale_num_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.scatter_atoms">
+<span class="sig-name descname"><span class="pre">scatter_atoms</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.scatter_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.cbf_basis3">
+<span class="sig-name descname"><span class="pre">cbf_basis3</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.cbf_basis3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf3">
+<span class="sig-name descname"><span class="pre">mlp_rbf3</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.mlp_cbf3">
+<span class="sig-name descname"><span class="pre">mlp_cbf3</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_cbf3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_h">
+<span class="sig-name descname"><span class="pre">mlp_rbf_h</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_h" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_out">
+<span class="sig-name descname"><span class="pre">mlp_rbf_out</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_out" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.atom_emb">
+<span class="sig-name descname"><span class="pre">atom_emb</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.atom_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.edge_emb">
+<span class="sig-name descname"><span class="pre">edge_emb</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.edge_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.out_blocks">
+<span class="sig-name descname"><span class="pre">out_blocks</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.out_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.int_blocks">
+<span class="sig-name descname"><span class="pre">int_blocks</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.int_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.get_triplets">
+<span class="sig-name descname"><span class="pre">get_triplets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.get_triplets" title="Link to this definition">#</a></dt>
+<dd><p>Get all b-&gt;a for each edge c-&gt;a.
+It is possible that b=c, as long as the edges are distinct.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>id3_ba</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices of input edge b-&gt;a of each triplet b-&gt;a&lt;-c</p></li>
+<li><p><strong>id3_ca</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices of output edge c-&gt;a of each triplet b-&gt;a&lt;-c</p></li>
+<li><p><strong>id3_ragged_idx</strong> (<em>torch.Tensor, shape (num_triplets,)</em>) – Indices enumerating the copies of id3_ca for creating a padded matrix</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.select_symmetric_edges">
+<span class="sig-name descname"><span class="pre">select_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inverse_neg</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.select_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.reorder_symmetric_edges">
+<span class="sig-name descname"><span class="pre">reorder_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_dist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_vector</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.reorder_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd><p>Reorder edges to make finding counter-directional edges easier.</p>
+<p>Some edges are only present in one direction in the data,
+since every atom has a maximum number of neighbors. Since we only use i-&gt;j
+edges here, we lose some j-&gt;i edges and add others by
+making it symmetric.
+We could fix this by merging edge_index with its counter-edges,
+including the cell_offsets, and then running torch.unique.
+But this does not seem worth it.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.select_edges">
+<span class="sig-name descname"><span class="pre">select_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_dist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_vector</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.select_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.generate_interaction_graph">
+<span class="sig-name descname"><span class="pre">generate_interaction_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.generate_interaction_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.GraphParallelGemNetT.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><a class="headerlink" href="#core.models.gemnet_gp.GraphParallelGemNetT.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.num_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.extensive"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.scale_num_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.scale_num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.scatter_atoms"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.scatter_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.cutoff"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.max_neighbors"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.regress_forces"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.otf_graph"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.use_pbc"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.direct_forces"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.radial_basis"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.cbf_basis3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.cbf_basis3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_cbf3"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_cbf3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_h"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_out"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.mlp_rbf_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.atom_emb"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.edge_emb"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.out_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.int_blocks"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.get_triplets"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.get_triplets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.reorder_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.reorder_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.select_edges"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.select_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.generate_interaction_graph"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.generate_interaction_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.forward"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.GraphParallelGemNetT.num_params"><code class="docutils literal notranslate"><span class="pre">GraphParallelGemNetT.num_params</span></code></a></li>
+</ul>
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+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.initializers._standardize"><code class="docutils literal notranslate"><span class="pre">_standardize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.initializers.he_orthogonal_init"><code class="docutils literal notranslate"><span class="pre">he_orthogonal_init()</span></code></a></li>
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+  <section id="module-core.models.gemnet_gp.initializers">
+<span id="core-models-gemnet-gp-initializers"></span><h1>core.models.gemnet_gp.initializers<a class="headerlink" href="#module-core.models.gemnet_gp.initializers" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.initializers._standardize" title="core.models.gemnet_gp.initializers._standardize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_standardize</span></code></a>(kernel)</p></td>
+<td><p>Makes sure that N*Var(W) = 1 and E[W] = 0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.initializers.he_orthogonal_init" title="core.models.gemnet_gp.initializers.he_orthogonal_init"><code class="xref py py-obj docutils literal notranslate"><span class="pre">he_orthogonal_init</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Generate a weight matrix with variance according to He (Kaiming) initialization.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.initializers._standardize">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.initializers.</span></span><span class="sig-name descname"><span class="pre">_standardize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">kernel</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.initializers._standardize" title="Link to this definition">#</a></dt>
+<dd><p>Makes sure that N*Var(W) = 1 and E[W] = 0</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.initializers.he_orthogonal_init">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.initializers.</span></span><span class="sig-name descname"><span class="pre">he_orthogonal_init</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.initializers.he_orthogonal_init" title="Link to this definition">#</a></dt>
+<dd><p>Generate a weight matrix with variance according to He (Kaiming) initialization.
+Based on a random (semi-)orthogonal matrix neural networks
+are expected to learn better when features are decorrelated
+(stated by eg. “Reducing overfitting in deep networks by decorrelating representations”,
+“Dropout: a simple way to prevent neural networks from overfitting”,
+“Exact solutions to the nonlinear dynamics of learning in deep linear neural networks”)</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.initializers._standardize"><code class="docutils literal notranslate"><span class="pre">_standardize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.initializers.he_orthogonal_init"><code class="docutils literal notranslate"><span class="pre">he_orthogonal_init()</span></code></a></li>
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+    <h1>core.models.gemnet_gp.layers.atom_update_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.scatter_sum"><code class="docutils literal notranslate"><span class="pre">scatter_sum()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.name"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.dense_rbf"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.dense_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.scale_sum"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.scale_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.layers"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.get_mlp"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.get_mlp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.forward"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock"><code class="docutils literal notranslate"><span class="pre">OutputBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.dense_rbf_F"><code class="docutils literal notranslate"><span class="pre">OutputBlock.dense_rbf_F</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_forces"><code class="docutils literal notranslate"><span class="pre">OutputBlock.out_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_energy"><code class="docutils literal notranslate"><span class="pre">OutputBlock.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.output_init"><code class="docutils literal notranslate"><span class="pre">OutputBlock.output_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.direct_forces"><code class="docutils literal notranslate"><span class="pre">OutputBlock.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.seq_energy"><code class="docutils literal notranslate"><span class="pre">OutputBlock.seq_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">OutputBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.forward"><code class="docutils literal notranslate"><span class="pre">OutputBlock.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp.layers.atom_update_block">
+<span id="core-models-gemnet-gp-layers-atom-update-block"></span><h1>core.models.gemnet_gp.layers.atom_update_block<a class="headerlink" href="#module-core.models.gemnet_gp.layers.atom_update_block" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock" title="core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a></p></td>
+<td><p>Aggregate the message embeddings of the atoms</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock" title="core.models.gemnet_gp.layers.atom_update_block.OutputBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OutputBlock</span></code></a></p></td>
+<td><p>Combines the atom update block and subsequent final dense layer.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.atom_update_block.scatter_sum" title="core.models.gemnet_gp.layers.atom_update_block.scatter_sum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter_sum</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Clone of torch_scatter.scatter_sum but without in-place operations</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.scatter_sum">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.atom_update_block.</span></span><span class="sig-name descname"><span class="pre">scatter_sum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">src</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.scatter_sum" title="Link to this definition">#</a></dt>
+<dd><p>Clone of torch_scatter.scatter_sum but without in-place operations</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.atom_update_block.</span></span><span class="sig-name descname"><span class="pre">AtomUpdateBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'atom_update'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Aggregate the message embeddings of the atoms</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_atom</strong> – Embedding size of the edges.</p></li>
+<li><p><strong>nHidden</strong> (<em>int</em>) – Number of residual blocks.</p></li>
+<li><p><strong>activation</strong> (<em>callable/str</em>) – Name of the activation function to use in the dense layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.name">
+<span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.dense_rbf">
+<span class="sig-name descname"><span class="pre">dense_rbf</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.dense_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.scale_sum">
+<span class="sig-name descname"><span class="pre">scale_sum</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.scale_sum" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.layers">
+<span class="sig-name descname"><span class="pre">layers</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.get_mlp">
+<span class="sig-name descname"><span class="pre">get_mlp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">units_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">units</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.get_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">nAtoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_j</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>h</strong> – Atom embedding.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nAtoms, emb_size_atom)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.OutputBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.atom_update_block.</span></span><span class="sig-name descname"><span class="pre">OutputBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'output'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock" title="core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a></p>
+<p>Combines the atom update block and subsequent final dense layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_atom</strong> – Embedding size of the edges.</p></li>
+<li><p><strong>nHidden</strong> (<em>int</em>) – Number of residual blocks.</p></li>
+<li><p><strong>num_targets</strong> (<em>int</em>) – Number of targets.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers except for the final dense layer.</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If true directly predict forces without taking the gradient of the energy potential.</p></li>
+<li><p><strong>output_init</strong> (<em>int</em>) – Kernel initializer of the final dense layer.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.OutputBlock.dense_rbf_F">
+<span class="sig-name descname"><span class="pre">dense_rbf_F</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="../base_layers/index.html#core.models.gemnet_gp.layers.base_layers.Dense" title="core.models.gemnet_gp.layers.base_layers.Dense"><span class="pre">core.models.gemnet_gp.layers.base_layers.Dense</span></a></em><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.dense_rbf_F" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_forces">
+<span class="sig-name descname"><span class="pre">out_forces</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="../base_layers/index.html#core.models.gemnet_gp.layers.base_layers.Dense" title="core.models.gemnet_gp.layers.base_layers.Dense"><span class="pre">core.models.gemnet_gp.layers.base_layers.Dense</span></a></em><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_energy">
+<span class="sig-name descname"><span class="pre">out_energy</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="../base_layers/index.html#core.models.gemnet_gp.layers.base_layers.Dense" title="core.models.gemnet_gp.layers.base_layers.Dense"><span class="pre">core.models.gemnet_gp.layers.base_layers.Dense</span></a></em><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.OutputBlock.output_init">
+<span class="sig-name descname"><span class="pre">output_init</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.output_init" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.OutputBlock.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.OutputBlock.seq_energy">
+<span class="sig-name descname"><span class="pre">seq_energy</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.seq_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.OutputBlock.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.atom_update_block.OutputBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">nAtoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_j</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>(E, F)</strong> (<em>tuple</em>)</p></li>
+<li><p><strong>- E</strong> (<em>torch.Tensor, shape=(nAtoms, num_targets)</em>)</p></li>
+<li><p><strong>- F</strong> (<em>torch.Tensor, shape=(nEdges, num_targets)</em>)</p></li>
+<li><p><em>Energy and force prediction</em></p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
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+            repo: "binder-examples/jupyter-stacks-datascience",
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+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/models/gemnet_gp/layers/atom_update_block"
+        },
+        predefinedOutput: true
+    }
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.scatter_sum"><code class="docutils literal notranslate"><span class="pre">scatter_sum()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.name"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.dense_rbf"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.dense_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.scale_sum"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.scale_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.layers"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.get_mlp"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.get_mlp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.forward"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock"><code class="docutils literal notranslate"><span class="pre">OutputBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.dense_rbf_F"><code class="docutils literal notranslate"><span class="pre">OutputBlock.dense_rbf_F</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_forces"><code class="docutils literal notranslate"><span class="pre">OutputBlock.out_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_energy"><code class="docutils literal notranslate"><span class="pre">OutputBlock.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.output_init"><code class="docutils literal notranslate"><span class="pre">OutputBlock.output_init</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.direct_forces"><code class="docutils literal notranslate"><span class="pre">OutputBlock.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.seq_energy"><code class="docutils literal notranslate"><span class="pre">OutputBlock.seq_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">OutputBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.forward"><code class="docutils literal notranslate"><span class="pre">OutputBlock.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+  </nav></div>
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+<!DOCTYPE html>
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+    <h1>core.models.gemnet_gp.layers.base_layers</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.Dense"><code class="docutils literal notranslate"><span class="pre">Dense</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.Dense.linear"><code class="docutils literal notranslate"><span class="pre">Dense.linear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.Dense.reset_parameters"><code class="docutils literal notranslate"><span class="pre">Dense.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.Dense.forward"><code class="docutils literal notranslate"><span class="pre">Dense.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU._activation"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU._activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.SiQU"><code class="docutils literal notranslate"><span class="pre">SiQU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.SiQU._activation"><code class="docutils literal notranslate"><span class="pre">SiQU._activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.SiQU.forward"><code class="docutils literal notranslate"><span class="pre">SiQU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer"><code class="docutils literal notranslate"><span class="pre">ResidualLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer.dense_mlp"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.dense_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer.forward"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp.layers.base_layers">
+<span id="core-models-gemnet-gp-layers-base-layers"></span><h1>core.models.gemnet_gp.layers.base_layers<a class="headerlink" href="#module-core.models.gemnet_gp.layers.base_layers" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.base_layers.Dense" title="core.models.gemnet_gp.layers.base_layers.Dense"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Dense</span></code></a></p></td>
+<td><p>Combines dense layer with scaling for swish activation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU" title="core.models.gemnet_gp.layers.base_layers.ScaledSiLU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.base_layers.SiQU" title="core.models.gemnet_gp.layers.base_layers.SiQU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SiQU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer" title="core.models.gemnet_gp.layers.base_layers.ResidualLayer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ResidualLayer</span></code></a></p></td>
+<td><p>Residual block with output scaled by 1/sqrt(2).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.Dense">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">Dense</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_in_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_out_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.Dense" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Combines dense layer with scaling for swish activation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>units</strong> (<em>int</em>) – Output embedding size.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use.</p></li>
+<li><p><strong>bias</strong> (<em>bool</em>) – True if use bias.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.Dense.linear">
+<span class="sig-name descname"><span class="pre">linear</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.Dense.linear" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.Dense.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initializer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">he_orthogonal_init</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.Dense.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.Dense.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.Dense.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.ScaledSiLU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">ScaledSiLU</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.ScaledSiLU.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.ScaledSiLU._activation">
+<span class="sig-name descname"><span class="pre">_activation</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU._activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.ScaledSiLU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.SiQU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">SiQU</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.SiQU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.SiQU._activation">
+<span class="sig-name descname"><span class="pre">_activation</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.SiQU._activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.SiQU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.SiQU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.ResidualLayer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">ResidualLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">units</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nLayers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Dense</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">layer_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Residual block with output scaled by 1/sqrt(2).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>units</strong> (<em>int</em>) – Output embedding size.</p></li>
+<li><p><strong>nLayers</strong> (<em>int</em>) – Number of dense layers.</p></li>
+<li><p><strong>layer_kwargs</strong> (<em>str</em>) – Keyword arguments for initializing the layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.ResidualLayer.dense_mlp">
+<span class="sig-name descname"><span class="pre">dense_mlp</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer.dense_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.ResidualLayer.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.base_layers.ResidualLayer.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            theme: "abcdef",
+            mode: "python"
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+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/models/gemnet_gp/layers/base_layers"
+        },
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.Dense"><code class="docutils literal notranslate"><span class="pre">Dense</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.Dense.linear"><code class="docutils literal notranslate"><span class="pre">Dense.linear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.Dense.reset_parameters"><code class="docutils literal notranslate"><span class="pre">Dense.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.Dense.forward"><code class="docutils literal notranslate"><span class="pre">Dense.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU._activation"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU._activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ScaledSiLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.SiQU"><code class="docutils literal notranslate"><span class="pre">SiQU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.SiQU._activation"><code class="docutils literal notranslate"><span class="pre">SiQU._activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.SiQU.forward"><code class="docutils literal notranslate"><span class="pre">SiQU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer"><code class="docutils literal notranslate"><span class="pre">ResidualLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer.dense_mlp"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.dense_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.base_layers.ResidualLayer.forward"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
+</div></div>
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+    <h1>core.models.gemnet_gp.layers.basis_utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.Jn"><code class="docutils literal notranslate"><span class="pre">Jn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.Jn_zeros"><code class="docutils literal notranslate"><span class="pre">Jn_zeros()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.spherical_bessel_formulas"><code class="docutils literal notranslate"><span class="pre">spherical_bessel_formulas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.bessel_basis"><code class="docutils literal notranslate"><span class="pre">bessel_basis()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.sph_harm_prefactor"><code class="docutils literal notranslate"><span class="pre">sph_harm_prefactor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.associated_legendre_polynomials"><code class="docutils literal notranslate"><span class="pre">associated_legendre_polynomials()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.real_sph_harm"><code class="docutils literal notranslate"><span class="pre">real_sph_harm()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp.layers.basis_utils">
+<span id="core-models-gemnet-gp-layers-basis-utils"></span><h1>core.models.gemnet_gp.layers.basis_utils<a class="headerlink" href="#module-core.models.gemnet_gp.layers.basis_utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.basis_utils.Jn" title="core.models.gemnet_gp.layers.basis_utils.Jn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Jn</span></code></a>(r, n)</p></td>
+<td><p>numerical spherical bessel functions of order n</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.basis_utils.Jn_zeros" title="core.models.gemnet_gp.layers.basis_utils.Jn_zeros"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Jn_zeros</span></code></a>(n, k)</p></td>
+<td><p>Compute the first k zeros of the spherical bessel functions up to order n (excluded)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.basis_utils.spherical_bessel_formulas" title="core.models.gemnet_gp.layers.basis_utils.spherical_bessel_formulas"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spherical_bessel_formulas</span></code></a>(n)</p></td>
+<td><p>Computes the sympy formulas for the spherical bessel functions up to order n (excluded)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.basis_utils.bessel_basis" title="core.models.gemnet_gp.layers.basis_utils.bessel_basis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bessel_basis</span></code></a>(n, k)</p></td>
+<td><p>Compute the sympy formulas for the normalized and rescaled spherical bessel functions up to</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.basis_utils.sph_harm_prefactor" title="core.models.gemnet_gp.layers.basis_utils.sph_harm_prefactor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sph_harm_prefactor</span></code></a>(→ float)</p></td>
+<td><p>Computes the constant pre-factor for the spherical harmonic of degree l and order m.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.basis_utils.associated_legendre_polynomials" title="core.models.gemnet_gp.layers.basis_utils.associated_legendre_polynomials"><code class="xref py py-obj docutils literal notranslate"><span class="pre">associated_legendre_polynomials</span></code></a>(L_maxdegree[, ...])</p></td>
+<td><p>Computes string formulas of the associated legendre polynomials up to degree L (excluded).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.basis_utils.real_sph_harm" title="core.models.gemnet_gp.layers.basis_utils.real_sph_harm"><code class="xref py py-obj docutils literal notranslate"><span class="pre">real_sph_harm</span></code></a>(L_maxdegree, use_theta[, use_phi, ...])</p></td>
+<td><p>Computes formula strings of the the real part of the spherical harmonics up to degree L (excluded).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.basis_utils.Jn">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">Jn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">r</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.basis_utils.Jn" title="Link to this definition">#</a></dt>
+<dd><p>numerical spherical bessel functions of order n</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.basis_utils.Jn_zeros">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">Jn_zeros</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.basis_utils.Jn_zeros" title="Link to this definition">#</a></dt>
+<dd><p>Compute the first k zeros of the spherical bessel functions up to order n (excluded)</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.basis_utils.spherical_bessel_formulas">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">spherical_bessel_formulas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.basis_utils.spherical_bessel_formulas" title="Link to this definition">#</a></dt>
+<dd><p>Computes the sympy formulas for the spherical bessel functions up to order n (excluded)</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.basis_utils.bessel_basis">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">bessel_basis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.basis_utils.bessel_basis" title="Link to this definition">#</a></dt>
+<dd><p>Compute the sympy formulas for the normalized and rescaled spherical bessel functions up to
+order n (excluded) and maximum frequency k (excluded).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><dl class="simple">
+<dt>list</dt><dd><p>Bessel basis formulas taking in a single argument x.
+Has length n where each element has length k. -&gt; In total n*k many.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>bess_basis</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.basis_utils.sph_harm_prefactor">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">sph_harm_prefactor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">l_degree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_order</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.basis_utils.sph_harm_prefactor" title="Link to this definition">#</a></dt>
+<dd><p>Computes the constant pre-factor for the spherical harmonic of degree l and order m.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>l_degree</strong> (<em>int</em>) – Degree of the spherical harmonic. l &gt;= 0</p></li>
+<li><p><strong>m_order</strong> (<em>int</em>) – Order of the spherical harmonic. -l &lt;= m &lt;= l</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>factor</strong></p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.basis_utils.associated_legendre_polynomials">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">associated_legendre_polynomials</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">L_maxdegree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.basis_utils.associated_legendre_polynomials" title="Link to this definition">#</a></dt>
+<dd><p>Computes string formulas of the associated legendre polynomials up to degree L (excluded).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>L_maxdegree</strong> (<em>int</em>) – Degree up to which to calculate the associated legendre polynomials (degree L is excluded).</p></li>
+<li><p><strong>zero_m_only</strong> (<em>bool</em>) – If True only calculate the polynomials for the polynomials where m=0.</p></li>
+<li><p><strong>pos_m_only</strong> (<em>bool</em>) – If True only calculate the polynomials for the polynomials where m&gt;=0. Overwritten by zero_m_only.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>polynomials</strong> – Contains the sympy functions of the polynomials (in total L many if zero_m_only is True else L^2 many).</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.basis_utils.real_sph_harm">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">real_sph_harm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">L_maxdegree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_theta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_phi</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.basis_utils.real_sph_harm" title="Link to this definition">#</a></dt>
+<dd><p>Computes formula strings of the the real part of the spherical harmonics up to degree L (excluded).
+Variables are either spherical coordinates phi and theta (or cartesian coordinates x,y,z) on the UNIT SPHERE.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>L_maxdegree</strong> (<em>int</em>) – Degree up to which to calculate the spherical harmonics (degree L is excluded).</p></li>
+<li><p><strong>use_theta</strong> (<em>bool</em>) – <ul>
+<li><p>True: Expects the input of the formula strings to contain theta.</p></li>
+<li><p>False: Expects the input of the formula strings to contain z.</p></li>
+</ul>
+</p></li>
+<li><p><strong>use_phi</strong> (<em>bool</em>) – <ul>
+<li><p>True: Expects the input of the formula strings to contain phi.</p></li>
+<li><p>False: Expects the input of the formula strings to contain x and y.</p></li>
+</ul>
+<p>Does nothing if zero_m_only is True</p>
+</p></li>
+<li><p><strong>zero_m_only</strong> (<em>bool</em>) – If True only calculate the harmonics where m=0.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>Y_lm_real</strong> – Computes formula strings of the the real part of the spherical harmonics up
+to degree L (where degree L is not excluded).
+In total L^2 many sph harm exist up to degree L (excluded). However, if zero_m_only only is True then
+the total count is reduced to be only L many.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.Jn"><code class="docutils literal notranslate"><span class="pre">Jn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.Jn_zeros"><code class="docutils literal notranslate"><span class="pre">Jn_zeros()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.spherical_bessel_formulas"><code class="docutils literal notranslate"><span class="pre">spherical_bessel_formulas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.bessel_basis"><code class="docutils literal notranslate"><span class="pre">bessel_basis()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.sph_harm_prefactor"><code class="docutils literal notranslate"><span class="pre">sph_harm_prefactor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.associated_legendre_polynomials"><code class="docutils literal notranslate"><span class="pre">associated_legendre_polynomials()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.basis_utils.real_sph_harm"><code class="docutils literal notranslate"><span class="pre">real_sph_harm()</span></code></a></li>
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+    <h1>core.models.gemnet_gp.layers.efficient</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_spherical"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.num_spherical</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_radial"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.num_radial</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.emb_size_interm"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.emb_size_interm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.reset_parameters"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.forward"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.emb_size"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.emb_size_interm"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size_interm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.units_out"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.units_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.reset_parameters"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.forward"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.forward()</span></code></a></li>
+</ul>
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+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp.layers.efficient">
+<span id="core-models-gemnet-gp-layers-efficient"></span><h1>core.models.gemnet_gp.layers.efficient<a class="headerlink" href="#module-core.models.gemnet_gp.layers.efficient" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection" title="core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection</span></code></a></p></td>
+<td><p>Down projection in the efficient reformulation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear" title="core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EfficientInteractionBilinear</span></code></a></p></td>
+<td><p>Efficient reformulation of the bilinear layer and subsequent summation.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.efficient.</span></span><span class="sig-name descname"><span class="pre">EfficientInteractionDownProjection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_interm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Down projection in the efficient reformulation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_interm</strong> (<em>int</em>) – Intermediate embedding size (down-projection size).</p></li>
+<li><p><strong>kernel_initializer</strong> (<em>callable</em>) – Initializer of the weight matrix.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_spherical">
+<span class="sig-name descname"><span class="pre">num_spherical</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_spherical" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_radial">
+<span class="sig-name descname"><span class="pre">num_radial</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_radial" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.emb_size_interm">
+<span class="sig-name descname"><span class="pre">emb_size_interm</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.emb_size_interm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_ca</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_ragged_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Kmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>rbf</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>1</em><em>, </em><em>nEdges</em><em>, </em><em>num_radial</em><em>)</em>)</p></li>
+<li><p><strong>sph</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>nEdges</em><em>, </em><em>Kmax</em><em>, </em><em>num_spherical</em><em>)</em>)</p></li>
+<li><p><strong>id_ca</strong></p></li>
+<li><p><strong>id_ragged_idx</strong></p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>rbf_W1</strong> (<em>torch.Tensor, shape=(nEdges, emb_size_interm, num_spherical)</em>)</p></li>
+<li><p><strong>sph</strong> (<em>torch.Tensor, shape=(nEdges, Kmax, num_spherical)</em>) – Kmax = maximum number of neighbors of the edges</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.efficient.</span></span><span class="sig-name descname"><span class="pre">EfficientInteractionBilinear</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_interm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">units_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Efficient reformulation of the bilinear layer and subsequent summation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>units_out</strong> (<em>int</em>) – Embedding output size of the bilinear layer.</p></li>
+<li><p><strong>kernel_initializer</strong> (<em>callable</em>) – Initializer of the weight matrix.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.emb_size">
+<span class="sig-name descname"><span class="pre">emb_size</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.emb_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.emb_size_interm">
+<span class="sig-name descname"><span class="pre">emb_size_interm</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.emb_size_interm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.units_out">
+<span class="sig-name descname"><span class="pre">units_out</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.units_out" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_reduce</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_ragged_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_offset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Kmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>basis</strong></p></li>
+<li><p><strong>m</strong> (<em>quadruplets: m = m_db</em><em> , </em><em>triplets: m = m_ba</em>)</p></li>
+<li><p><strong>id_reduce</strong></p></li>
+<li><p><strong>id_ragged_idx</strong></p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>m_ca</strong> – Edge embeddings.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>torch.Tensor, shape=(nEdges, units_out)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
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+            path: "./autoapi/core/models/gemnet_gp/layers/efficient"
+        },
+        predefinedOutput: true
+    }
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_spherical"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.num_spherical</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_radial"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.num_radial</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.emb_size_interm"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.emb_size_interm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.reset_parameters"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.forward"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionDownProjection.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear</span></code></a><ul class="nav section-nav flex-column">
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+    <h1>core.models.gemnet_gp.layers.embedding_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.emb_size"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.embeddings"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.embeddings</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.dense"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.dense</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp.layers.embedding_block">
+<span id="core-models-gemnet-gp-layers-embedding-block"></span><h1>core.models.gemnet_gp.layers.embedding_block<a class="headerlink" href="#module-core.models.gemnet_gp.layers.embedding_block" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding" title="core.models.gemnet_gp.layers.embedding_block.AtomEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomEmbedding</span></code></a></p></td>
+<td><p>Initial atom embeddings based on the atom type</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding" title="core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EdgeEmbedding</span></code></a></p></td>
+<td><p>Edge embedding based on the concatenation of atom embeddings and subsequent dense layer.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.embedding_block.AtomEmbedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.embedding_block.</span></span><span class="sig-name descname"><span class="pre">AtomEmbedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Initial atom embeddings based on the atom type</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>emb_size</strong> (<em>int</em>) – Atom embeddings size</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.emb_size">
+<span class="sig-name descname"><span class="pre">emb_size</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.emb_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.embeddings">
+<span class="sig-name descname"><span class="pre">embeddings</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.embeddings" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">Z</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>h</strong> – Atom embeddings.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nAtoms, emb_size)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.embedding_block.</span></span><span class="sig-name descname"><span class="pre">EdgeEmbedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atom_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_out_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Edge embedding based on the concatenation of atom embeddings and subsequent dense layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size</strong> (<em>int</em>) – Embedding size after the dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Activation function used in the dense layer.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.dense">
+<span class="sig-name descname"><span class="pre">dense</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.dense" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_s</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_t</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>h</strong></p></li>
+<li><p><strong>m_rbf</strong> (<em>shape</em><em> (</em><em>nEdges</em><em>, </em><em>nFeatures</em><em>)</em>) – in embedding block: m_rbf = rbf ; In interaction block: m_rbf = m_st</p></li>
+<li><p><strong>idx_s</strong></p></li>
+<li><p><strong>idx_t</strong></p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>m_st</strong> – Edge embeddings.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>torch.Tensor, shape=(nEdges, emb_size)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.emb_size"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.embeddings"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.embeddings</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.dense"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.dense</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.forward()</span></code></a></li>
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+    <h1>core.models.gemnet_gp.layers.interaction_block</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
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+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.name"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.dense_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.trip_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.layers_before_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.layers_after_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.atom_update"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.atom_update</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.concat_layer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.residual_m"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.residual_m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.forward"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction"><code class="docutils literal notranslate"><span class="pre">TripletInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.name"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.dense_ba"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.dense_ba</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_cbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_cbf_sum"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_cbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ca"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ac"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ac</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.forward"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp.layers.interaction_block">
+<span id="core-models-gemnet-gp-layers-interaction-block"></span><h1>core.models.gemnet_gp.layers.interaction_block<a class="headerlink" href="#module-core.models.gemnet_gp.layers.interaction_block" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly" title="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly"><code class="xref py py-obj docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly</span></code></a></p></td>
+<td><p>Interaction block for GemNet-T/dT.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction" title="core.models.gemnet_gp.layers.interaction_block.TripletInteraction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TripletInteraction</span></code></a></p></td>
+<td><p>Triplet-based message passing block.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.interaction_block.</span></span><span class="sig-name descname"><span class="pre">InteractionBlockTripletsOnly</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_bil_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'Interaction'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Interaction block for GemNet-T/dT.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip</strong> (<em>int</em>) – (Down-projected) Embedding size in the triplet message passing block.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_bil_trip</strong> (<em>int</em>) – Embedding size of the edge embeddings in the triplet-based message passing block after the bilinear layer.</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers except for the final dense layer.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.name">
+<span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca">
+<span class="sig-name descname"><span class="pre">dense_ca</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction">
+<span class="sig-name descname"><span class="pre">trip_interaction</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip">
+<span class="sig-name descname"><span class="pre">layers_before_skip</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip">
+<span class="sig-name descname"><span class="pre">layers_after_skip</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.atom_update">
+<span class="sig-name descname"><span class="pre">atom_update</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.atom_update" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer">
+<span class="sig-name descname"><span class="pre">concat_layer</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.residual_m">
+<span class="sig-name descname"><span class="pre">residual_m</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.residual_m" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ragged_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_swap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ba</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ca</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf_h</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_s</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_offset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Kmax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nAtoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>h</strong> (<em>torch.Tensor, shape=(nEdges, emb_size_atom)</em>) – Atom embeddings.</p></li>
+<li><p><strong>m</strong> (<em>torch.Tensor, shape=(nEdges, emb_size_edge)</em>) – Edge embeddings (c-&gt;a).</p></li>
+<li><p><strong>Node</strong> (<em>h</em>)</p></li>
+<li><p><strong>Edge</strong> (<em>m, rbf3, id_swap, rbf_h, idx_s, idx_t, cbf3[0], cbf3[1] (dense)</em>)</p></li>
+<li><p><strong>Triplet</strong> (<em>id3_ragged_idx, id3_ba, id3_ca</em>)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.interaction_block.</span></span><span class="sig-name descname"><span class="pre">TripletInteraction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_bilinear</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'TripletInteraction'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Triplet-based message passing block.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip</strong> (<em>int</em>) – (Down-projected) Embedding size of the edge embeddings after the hadamard product with rbf.</p></li>
+<li><p><strong>emb_size_bilinear</strong> (<em>int</em>) – Embedding size of the edge embeddings after the bilinear layer.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers except for the final dense layer.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.name">
+<span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.dense_ba">
+<span class="sig-name descname"><span class="pre">dense_ba</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.dense_ba" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_rbf">
+<span class="sig-name descname"><span class="pre">mlp_rbf</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_rbf">
+<span class="sig-name descname"><span class="pre">scale_rbf</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_cbf">
+<span class="sig-name descname"><span class="pre">mlp_cbf</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_cbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_cbf_sum">
+<span class="sig-name descname"><span class="pre">scale_cbf_sum</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_cbf_sum" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.down_projection">
+<span class="sig-name descname"><span class="pre">down_projection</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.down_projection" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ca">
+<span class="sig-name descname"><span class="pre">up_projection_ca</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ca" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ac">
+<span class="sig-name descname"><span class="pre">up_projection_ac</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ac" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.interaction_block.TripletInteraction.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ragged_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_swap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ba</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ca</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_offset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Kmax</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>m</strong> – Edge embeddings (c-&gt;a).</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nEdges, emb_size_edge)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.name"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.dense_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.trip_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.layers_before_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.layers_after_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.atom_update"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.atom_update</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.concat_layer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.residual_m"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.residual_m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.forward"><code class="docutils literal notranslate"><span class="pre">InteractionBlockTripletsOnly.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction"><code class="docutils literal notranslate"><span class="pre">TripletInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.name"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.dense_ba"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.dense_ba</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_cbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_cbf_sum"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_cbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ca"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ac"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ac</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.forward"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+</ul>
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+    <h1>core.models.gemnet_gp.layers.radial_basis</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.p"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.p</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.a"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.a</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.b"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.b</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.c"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.c</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.norm_const"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.norm_const</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.frequencies"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.frequencies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.forward"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.pregamma"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.pregamma</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.softplus"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.softplus</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.forward"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis"><code class="docutils literal notranslate"><span class="pre">RadialBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis.inv_cutoff"><code class="docutils literal notranslate"><span class="pre">RadialBasis.inv_cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis.forward"><code class="docutils literal notranslate"><span class="pre">RadialBasis.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp.layers.radial_basis">
+<span id="core-models-gemnet-gp-layers-radial-basis"></span><h1>core.models.gemnet_gp.layers.radial_basis<a class="headerlink" href="#module-core.models.gemnet_gp.layers.radial_basis" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope" title="core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PolynomialEnvelope</span></code></a></p></td>
+<td><p>Polynomial envelope function that ensures a smooth cutoff.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope" title="core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExponentialEnvelope</span></code></a></p></td>
+<td><p>Exponential envelope function that ensures a smooth cutoff,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis" title="core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SphericalBesselBasis</span></code></a></p></td>
+<td><p>1D spherical Bessel basis</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis" title="core.models.gemnet_gp.layers.radial_basis.BernsteinBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BernsteinBasis</span></code></a></p></td>
+<td><p>Bernstein polynomial basis,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis" title="core.models.gemnet_gp.layers.radial_basis.RadialBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RadialBasis</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">PolynomialEnvelope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">exponent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Polynomial envelope function that ensures a smooth cutoff.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>exponent</strong> (<em>int</em>) – Exponent of the envelope function.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.p">
+<span class="sig-name descname"><span class="pre">p</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.p" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.a">
+<span class="sig-name descname"><span class="pre">a</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.a" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.b">
+<span class="sig-name descname"><span class="pre">b</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.b" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.c">
+<span class="sig-name descname"><span class="pre">c</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.c" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">ExponentialEnvelope</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Exponential envelope function that ensures a smooth cutoff,
+as proposed in Unke, Chmiela, Gastegger, Schütt, Sauceda, Müller 2021.
+SpookyNet: Learning Force Fields with Electronic Degrees of Freedom
+and Nonlocal Effects</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">SphericalBesselBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>1D spherical Bessel basis</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Cutoff distance in Angstrom.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.norm_const">
+<span class="sig-name descname"><span class="pre">norm_const</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.norm_const" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.frequencies">
+<span class="sig-name descname"><span class="pre">frequencies</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.frequencies" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.BernsteinBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">BernsteinBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pregamma_initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.45264</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Bernstein polynomial basis,
+as proposed in Unke, Chmiela, Gastegger, Schütt, Sauceda, Müller 2021.
+SpookyNet: Learning Force Fields with Electronic Degrees of Freedom
+and Nonlocal Effects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>pregamma_initial</strong> (<em>float</em>) – Initial value of exponential coefficient gamma.
+Default: gamma = 0.5 * a_0**-1 = 0.94486,
+inverse softplus -&gt; pregamma = log e**gamma - 1 = 0.45264</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.pregamma">
+<span class="sig-name descname"><span class="pre">pregamma</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.pregamma" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.softplus">
+<span class="sig-name descname"><span class="pre">softplus</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.softplus" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.RadialBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">RadialBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Cutoff distance in Angstrom.</p></li>
+<li><p><strong>rbf</strong> (<em>dict = {&quot;name&quot;: &quot;gaussian&quot;}</em>) – Basis function and its hyperparameters.</p></li>
+<li><p><strong>envelope</strong> (<em>dict = {&quot;name&quot;: &quot;polynomial&quot;</em><em>, </em><em>&quot;exponent&quot;: 5}</em>) – Envelope function and its hyperparameters.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.RadialBasis.inv_cutoff">
+<span class="sig-name descname"><span class="pre">inv_cutoff</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis.inv_cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.radial_basis.RadialBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.p"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.p</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.a"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.a</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.b"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.b</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.c"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.c</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.norm_const"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.norm_const</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.frequencies"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.frequencies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.forward"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.pregamma"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.pregamma</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.softplus"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.softplus</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.forward"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis"><code class="docutils literal notranslate"><span class="pre">RadialBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis.inv_cutoff"><code class="docutils literal notranslate"><span class="pre">RadialBasis.inv_cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.radial_basis.RadialBasis.forward"><code class="docutils literal notranslate"><span class="pre">RadialBasis.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.gemnet_gp.layers.spherical_basis</h1>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.radial_basis"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.efficient"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.efficient</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.forward"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.forward()</span></code></a></li>
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+                  
+  <section id="module-core.models.gemnet_gp.layers.spherical_basis">
+<span id="core-models-gemnet-gp-layers-spherical-basis"></span><h1>core.models.gemnet_gp.layers.spherical_basis<a class="headerlink" href="#module-core.models.gemnet_gp.layers.spherical_basis" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer" title="core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CircularBasisLayer</span></code></a></p></td>
+<td><p>2D Fourier Bessel Basis</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.layers.spherical_basis.</span></span><span class="sig-name descname"><span class="pre">CircularBasisLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radial_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.RadialBasis" title="core.models.gemnet_gp.layers.radial_basis.RadialBasis"><span class="pre">core.models.gemnet_gp.layers.radial_basis.RadialBasis</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">efficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>2D Fourier Bessel Basis</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>radial_basis</strong> (<a class="reference internal" href="../../../gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.RadialBasis" title="core.models.gemnet.layers.radial_basis.RadialBasis"><em>RadialBasis</em></a>) – Radial basis functions</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the cosine basis function</p></li>
+<li><p><strong>efficient</strong> (<em>bool</em>) – Whether to use the “efficient” summation order</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.efficient">
+<span class="sig-name descname"><span class="pre">efficient</span></span><a class="headerlink" href="#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.efficient" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">D_ca</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cosφ_cab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id3_ca</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    <h1>core.models.gemnet_gp.utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.read_json"><code class="docutils literal notranslate"><span class="pre">read_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.update_json"><code class="docutils literal notranslate"><span class="pre">update_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.write_json"><code class="docutils literal notranslate"><span class="pre">write_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.read_value_json"><code class="docutils literal notranslate"><span class="pre">read_value_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.ragged_range"><code class="docutils literal notranslate"><span class="pre">ragged_range()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.repeat_blocks"><code class="docutils literal notranslate"><span class="pre">repeat_blocks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.calculate_interatomic_vectors"><code class="docutils literal notranslate"><span class="pre">calculate_interatomic_vectors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.inner_product_normalized"><code class="docutils literal notranslate"><span class="pre">inner_product_normalized()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.mask_neighbors"><code class="docutils literal notranslate"><span class="pre">mask_neighbors()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_gp.utils">
+<span id="core-models-gemnet-gp-utils"></span><h1>core.models.gemnet_gp.utils<a class="headerlink" href="#module-core.models.gemnet_gp.utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.utils.read_json" title="core.models.gemnet_gp.utils.read_json"><code class="xref py py-obj docutils literal notranslate"><span class="pre">read_json</span></code></a>(path)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.utils.update_json" title="core.models.gemnet_gp.utils.update_json"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_json</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.utils.write_json" title="core.models.gemnet_gp.utils.write_json"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_json</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.utils.read_value_json" title="core.models.gemnet_gp.utils.read_value_json"><code class="xref py py-obj docutils literal notranslate"><span class="pre">read_value_json</span></code></a>(path, key)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.utils.ragged_range" title="core.models.gemnet_gp.utils.ragged_range"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ragged_range</span></code></a>(sizes)</p></td>
+<td><p>Multiple concatenated ranges.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.utils.repeat_blocks" title="core.models.gemnet_gp.utils.repeat_blocks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">repeat_blocks</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Repeat blocks of indices.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.utils.calculate_interatomic_vectors" title="core.models.gemnet_gp.utils.calculate_interatomic_vectors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calculate_interatomic_vectors</span></code></a>(→ tuple[torch.Tensor, ...)</p></td>
+<td><p>Calculate the vectors connecting the given atom pairs,</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_gp.utils.inner_product_normalized" title="core.models.gemnet_gp.utils.inner_product_normalized"><code class="xref py py-obj docutils literal notranslate"><span class="pre">inner_product_normalized</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Calculate the inner product between the given normalized vectors,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_gp.utils.mask_neighbors" title="core.models.gemnet_gp.utils.mask_neighbors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mask_neighbors</span></code></a>(neighbors, edge_mask)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.utils.read_json">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.utils.</span></span><span class="sig-name descname"><span class="pre">read_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.utils.read_json" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.utils.update_json">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.utils.</span></span><span class="sig-name descname"><span class="pre">update_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.utils.update_json" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.utils.write_json">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.utils.</span></span><span class="sig-name descname"><span class="pre">write_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.utils.write_json" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.utils.read_value_json">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.utils.</span></span><span class="sig-name descname"><span class="pre">read_value_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.utils.read_value_json" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.utils.ragged_range">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.utils.</span></span><span class="sig-name descname"><span class="pre">ragged_range</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sizes</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.utils.ragged_range" title="Link to this definition">#</a></dt>
+<dd><p>Multiple concatenated ranges.</p>
+<p class="rubric">Examples</p>
+<p>sizes = [1 4 2 3]
+Return: [0  0 1 2 3  0 1  0 1 2]</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.utils.repeat_blocks">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.utils.</span></span><span class="sig-name descname"><span class="pre">repeat_blocks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sizes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repeats</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">continuous_indexing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">block_inc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repeat_inc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.utils.repeat_blocks" title="Link to this definition">#</a></dt>
+<dd><p>Repeat blocks of indices.
+Adapted from <a class="reference external" href="https://stackoverflow.com/questions/51154989/numpy-vectorized-function-to-repeat-blocks-of-consecutive-elements">https://stackoverflow.com/questions/51154989/numpy-vectorized-function-to-repeat-blocks-of-consecutive-elements</a></p>
+<p>continuous_indexing: Whether to keep increasing the index after each block
+start_idx: Starting index
+block_inc: Number to increment by after each block,</p>
+<blockquote>
+<div><p>either global or per block. Shape: len(sizes) - 1</p>
+</div></blockquote>
+<dl class="simple">
+<dt>repeat_inc: Number to increment by after each repetition,</dt><dd><p>either global or per block</p>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<p>sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = False
+Return: [0 0 0  0 1 2 0 1 2  0 1 0 1 0 1]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True
+Return: [0 0 0  1 2 3 1 2 3  4 5 4 5 4 5]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+repeat_inc = 4
+Return: [0 4 8  1 2 3 5 6 7  4 5 8 9 12 13]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+start_idx = 5
+Return: [5 5 5  6 7 8 6 7 8  9 10 9 10 9 10]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+block_inc = 1
+Return: [0 0 0  2 3 4 2 3 4  6 7 6 7 6 7]
+sizes = [0,3,2] ; repeats = [3,2,3] ; continuous_indexing = True
+Return: [0 1 2 0 1 2  3 4 3 4 3 4]
+sizes = [2,3,2] ; repeats = [2,0,2] ; continuous_indexing = True
+Return: [0 1 0 1  5 6 5 6]</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.utils.calculate_interatomic_vectors">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.utils.</span></span><span class="sig-name descname"><span class="pre">calculate_interatomic_vectors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">R</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offsets_st</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.gemnet_gp.utils.calculate_interatomic_vectors" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the vectors connecting the given atom pairs,
+considering offsets from periodic boundary conditions (PBC).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>R</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nAtoms</em><em>, </em><em>3</em><em>)</em>) – Atom positions.</p></li>
+<li><p><strong>id_s</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nEdges</em><em>,</em><em>)</em>) – Indices of the source atom of the edges.</p></li>
+<li><p><strong>id_t</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nEdges</em><em>,</em><em>)</em>) – Indices of the target atom of the edges.</p></li>
+<li><p><strong>offsets_st</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nEdges</em><em>,</em><em>)</em>) – PBC offsets of the edges.
+Subtract this from the correct direction.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><p><strong>(D_st, V_st)</strong> –</p>
+<dl class="simple">
+<dt>D_st: Tensor, shape = (nEdges,)</dt><dd><p>Distance from atom t to s.</p>
+</dd>
+<dt>V_st: Tensor, shape = (nEdges,)</dt><dd><p>Unit direction from atom t to s.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>tuple</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.utils.inner_product_normalized">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.utils.</span></span><span class="sig-name descname"><span class="pre">inner_product_normalized</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_gp.utils.inner_product_normalized" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the inner product between the given normalized vectors,
+giving a result between -1 and 1.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_gp.utils.mask_neighbors">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_gp.utils.</span></span><span class="sig-name descname"><span class="pre">mask_neighbors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_gp.utils.mask_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.read_json"><code class="docutils literal notranslate"><span class="pre">read_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.update_json"><code class="docutils literal notranslate"><span class="pre">update_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.write_json"><code class="docutils literal notranslate"><span class="pre">write_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.read_value_json"><code class="docutils literal notranslate"><span class="pre">read_value_json()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.ragged_range"><code class="docutils literal notranslate"><span class="pre">ragged_range()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.calculate_interatomic_vectors"><code class="docutils literal notranslate"><span class="pre">calculate_interatomic_vectors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.inner_product_normalized"><code class="docutils literal notranslate"><span class="pre">inner_product_normalized()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_gp.utils.mask_neighbors"><code class="docutils literal notranslate"><span class="pre">mask_neighbors()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC"><code class="docutils literal notranslate"><span class="pre">GemNetOC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.num_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.num_blocks</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_edge_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_edge_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_atom_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.edge_atom_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.quad_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.quad_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.qint_tags"><code class="docutils literal notranslate"><span class="pre">GemNetOC.qint_tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.otf_graph"><code class="docutils literal notranslate"><span class="pre">GemNetOC.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">GemNetOC.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc"><code class="docutils literal notranslate"><span class="pre">GemNetOC.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GemNetOC.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOC.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.forces_coupled"><code class="docutils literal notranslate"><span class="pre">GemNetOC.forces_coupled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOC.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.force_scaler"><code class="docutils literal notranslate"><span class="pre">GemNetOC.force_scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_emb"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_emb"><code class="docutils literal notranslate"><span class="pre">GemNetOC.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.int_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_mlp_E"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_mlp_E</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_energy"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.set_cutoffs"><code class="docutils literal notranslate"><span class="pre">GemNetOC.set_cutoffs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.set_max_neighbors"><code class="docutils literal notranslate"><span class="pre">GemNetOC.set_max_neighbors()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.init_basis_functions"><code class="docutils literal notranslate"><span class="pre">GemNetOC.init_basis_functions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.init_shared_basis_layers"><code class="docutils literal notranslate"><span class="pre">GemNetOC.init_shared_basis_layers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.calculate_quad_angles"><code class="docutils literal notranslate"><span class="pre">GemNetOC.calculate_quad_angles()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.symmetrize_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.symmetrize_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.subselect_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.generate_graph_dict"><code class="docutils literal notranslate"><span class="pre">GemNetOC.generate_graph_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_graph"><code class="docutils literal notranslate"><span class="pre">GemNetOC.subselect_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.get_graphs_and_indices"><code class="docutils literal notranslate"><span class="pre">GemNetOC.get_graphs_and_indices()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.get_bases"><code class="docutils literal notranslate"><span class="pre">GemNetOC.get_bases()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOC.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.num_params"><code class="docutils literal notranslate"><span class="pre">GemNetOC.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone"><code class="docutils literal notranslate"><span class="pre">GemNetOCBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOCBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.force_scaler"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.force_scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_mlp_E"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.out_mlp_E</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_energy"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead"><code class="docutils literal notranslate"><span class="pre">GemNetOCForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOCForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forces_coupled"><code class="docutils literal notranslate"><span class="pre">GemNetOCForceHead.forces_coupled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOCForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc.gemnet_oc">
+<span id="core-models-gemnet-oc-gemnet-oc"></span><h1>core.models.gemnet_oc.gemnet_oc<a class="headerlink" href="#module-core.models.gemnet_oc.gemnet_oc" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC" title="core.models.gemnet_oc.gemnet_oc.GemNetOC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetOC</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone" title="core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetOCBackbone</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead" title="core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead" title="core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetOCForceHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.gemnet_oc.</span></span><span class="sig-name descname"><span class="pre">GemNetOC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_aint_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_aint_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_sbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_output_afteratom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom_emb_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_global_out_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_backprop_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_qint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aeaint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_qint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aeaint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_neighbors_strictly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">forces_coupled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quad_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_edge_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_atom_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qint_tags</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">83</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks to be stacked.</p></li>
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_trip_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_quad_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_quad_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_aint_in</strong> (<em>int</em>) – Embedding size in the atom interaction before the bilinear layer.</p></li>
+<li><p><strong>emb_size_aint_out</strong> (<em>int</em>) – Embedding size in the atom interaction after the bilinear layer.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_sbf</strong> (<em>int</em>) – Embedding size of the spherical basis transformation (two angles).</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>num_output_afteratom</strong> (<em>int</em>) – Number of residual blocks in the output blocks
+after adding the atom embedding.</p></li>
+<li><p><strong>num_atom_emb_layers</strong> (<em>int</em>) – Number of residual blocks for transforming atom embeddings.</p></li>
+<li><p><strong>num_global_out_layers</strong> (<em>int</em>) – Number of final residual blocks before the output.</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Whether to predict forces. Default: True</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If True predict forces based on aggregation of interatomic directions.
+If False predict forces based on negative gradient of energy potential.</p></li>
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Whether to use periodic boundary conditions.</p></li>
+<li><p><strong>use_pbc_single</strong> – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>scale_backprop_forces</strong> (<em>bool</em>) – Whether to scale up the energy and then scales down the forces
+to prevent NaNs and infs in backpropagated forces.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Embedding cutoff for interatomic connections and embeddings in Angstrom.</p></li>
+<li><p><strong>cutoff_qint</strong> (<em>float</em>) – Quadruplet interaction cutoff in Angstrom.
+Optional. Uses cutoff per default.</p></li>
+<li><p><strong>cutoff_aeaint</strong> (<em>float</em>) – Edge-to-atom and atom-to-edge interaction cutoff in Angstrom.
+Optional. Uses cutoff per default.</p></li>
+<li><p><strong>cutoff_aint</strong> (<em>float</em>) – Atom-to-atom interaction cutoff in Angstrom.
+Optional. Uses maximum of all other cutoffs per default.</p></li>
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Maximum number of neighbors for interatomic connections and embeddings.</p></li>
+<li><p><strong>max_neighbors_qint</strong> (<em>int</em>) – Maximum number of quadruplet interactions per embedding.
+Optional. Uses max_neighbors per default.</p></li>
+<li><p><strong>max_neighbors_aeaint</strong> (<em>int</em>) – Maximum number of edge-to-atom and atom-to-edge interactions per embedding.
+Optional. Uses max_neighbors per default.</p></li>
+<li><p><strong>max_neighbors_aint</strong> (<em>int</em>) – Maximum number of atom-to-atom interactions per atom.
+Optional. Uses maximum of all other neighbors per default.</p></li>
+<li><p><strong>enforce_max_neighbors_strictly</strong> (<em>bool</em>) – When subselected edges based on max_neighbors args, arbitrarily
+select amongst degenerate edges to have exactly the correct number.</p></li>
+<li><p><strong>rbf</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function.</p></li>
+<li><p><strong>rbf_spherical</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function used as part of the
+circular and spherical bases.
+Optional. Uses rbf per default.</p></li>
+<li><p><strong>envelope</strong> (<em>dict</em>) – Name and hyperparameters of the envelope function.</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the circular basis function.</p></li>
+<li><p><strong>sbf</strong> (<em>dict</em>) – Name and hyperparameters of the spherical basis function.</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether the output should be extensive (proportional to the number of atoms)</p></li>
+<li><p><strong>forces_coupled</strong> (<em>bool</em>) – If True, enforce that <a href="#id1"><span class="problematic" id="id2">|F_st|</span></a> = <a href="#id3"><span class="problematic" id="id4">|F_ts|</span></a>. No effect if direct_forces is False.</p></li>
+<li><p><strong>output_init</strong> (<em>str</em>) – Initialization method for the final dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function.</p></li>
+<li><p><strong>scale_file</strong> (<em>str</em>) – Path to the pytorch file containing the scaling factors.</p></li>
+<li><p><strong>quad_interaction</strong> (<em>bool</em>) – Whether to use quadruplet interactions (with dihedral angles)</p></li>
+<li><p><strong>atom_edge_interaction</strong> (<em>bool</em>) – Whether to use atom-to-edge interactions</p></li>
+<li><p><strong>edge_atom_interaction</strong> (<em>bool</em>) – Whether to use edge-to-atom interactions</p></li>
+<li><p><strong>atom_interaction</strong> (<em>bool</em>) – Whether to use atom-to-atom interactions</p></li>
+<li><p><strong>scale_basis</strong> (<em>bool</em>) – Whether to use a scaling layer in the raw basis function for better
+numerical stability.</p></li>
+<li><p><strong>qint_tags</strong> (<em>list</em>) – Which atom tags to use quadruplet interactions for.
+0=sub-surface bulk, 1=surface, 2=adsorbate atoms.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.num_blocks">
+<span class="sig-name descname"><span class="pre">num_blocks</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.num_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.activation">
+<span class="sig-name descname"><span class="pre">activation</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_edge_interaction">
+<span class="sig-name descname"><span class="pre">atom_edge_interaction</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_edge_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_atom_interaction">
+<span class="sig-name descname"><span class="pre">edge_atom_interaction</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_atom_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_interaction">
+<span class="sig-name descname"><span class="pre">atom_interaction</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.quad_interaction">
+<span class="sig-name descname"><span class="pre">quad_interaction</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.quad_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.qint_tags">
+<span class="sig-name descname"><span class="pre">qint_tags</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.qint_tags" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly">
+<span class="sig-name descname"><span class="pre">enforce_max_neighbors_strictly</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.forces_coupled">
+<span class="sig-name descname"><span class="pre">forces_coupled</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.forces_coupled" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.force_scaler">
+<span class="sig-name descname"><span class="pre">force_scaler</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.force_scaler" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_emb">
+<span class="sig-name descname"><span class="pre">atom_emb</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_emb">
+<span class="sig-name descname"><span class="pre">edge_emb</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.int_blocks">
+<span class="sig-name descname"><span class="pre">int_blocks</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.int_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.out_blocks">
+<span class="sig-name descname"><span class="pre">out_blocks</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.out_mlp_E">
+<span class="sig-name descname"><span class="pre">out_mlp_E</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_mlp_E" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.out_energy">
+<span class="sig-name descname"><span class="pre">out_energy</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.set_cutoffs">
+<span class="sig-name descname"><span class="pre">set_cutoffs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cutoff</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_qint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aeaint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aint</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.set_cutoffs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.set_max_neighbors">
+<span class="sig-name descname"><span class="pre">set_max_neighbors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_qint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aeaint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aint</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.set_max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.init_basis_functions">
+<span class="sig-name descname"><span class="pre">init_basis_functions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf_spherical</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_basis</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.init_basis_functions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.init_shared_basis_layers">
+<span class="sig-name descname"><span class="pre">init_shared_basis_layers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_sbf</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.init_shared_basis_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.calculate_quad_angles">
+<span class="sig-name descname"><span class="pre">calculate_quad_angles</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">V_st</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">V_qint_st</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quad_idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.calculate_quad_angles" title="Link to this definition">#</a></dt>
+<dd><p>Calculate angles for quadruplet-based message passing.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>V_st</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nAtoms</em><em>, </em><em>3</em><em>)</em>) – Normalized directions from s to t</p></li>
+<li><p><strong>V_qint_st</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nAtoms</em><em>, </em><em>3</em><em>)</em>) – Normalized directions from s to t for the quadruplet
+interaction graph</p></li>
+<li><p><strong>quad_idx</strong> (<em>dict</em><em> of </em><em>torch.Tensor</em>) – Indices relevant for quadruplet interactions.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>cosφ_cab</strong> (<em>Tensor, shape = (num_triplets_inint,)</em>) – Cosine of angle between atoms c -&gt; a &lt;- b.</p></li>
+<li><p><strong>cosφ_abd</strong> (<em>Tensor, shape = (num_triplets_qint,)</em>) – Cosine of angle between atoms a -&gt; b -&gt; d.</p></li>
+<li><p><strong>angle_cabd</strong> (<em>Tensor, shape = (num_quadruplets,)</em>) – Dihedral angle between atoms c &lt;- a-b -&gt; d.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.select_symmetric_edges">
+<span class="sig-name descname"><span class="pre">select_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite_neg</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.select_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd><p>Use a mask to remove values of removed edges and then
+duplicate the values for the correct edge direction.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>tensor</strong> (<em>torch.Tensor</em>) – Values to symmetrize for the new tensor.</p></li>
+<li><p><strong>mask</strong> (<em>torch.Tensor</em>) – Mask defining which edges go in the correct direction.</p></li>
+<li><p><strong>reorder_idx</strong> (<em>torch.Tensor</em>) – Indices defining how to reorder the tensor values after
+concatenating the edge values of both directions.</p></li>
+<li><p><strong>opposite_neg</strong> (<em>bool</em>) – Whether the edge in the opposite direction should use the
+negative tensor value.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>tensor_ordered</strong> – A tensor with symmetrized values.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>torch.Tensor</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.symmetrize_edges">
+<span class="sig-name descname"><span class="pre">symmetrize_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.symmetrize_edges" title="Link to this definition">#</a></dt>
+<dd><p>Symmetrize edges to ensure existence of counter-directional edges.</p>
+<p>Some edges are only present in one direction in the data,
+since every atom has a maximum number of neighbors.
+We only use i-&gt;j edges here. So we lose some j-&gt;i edges
+and add others by making it symmetric.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_edges">
+<span class="sig-name descname"><span class="pre">subselect_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_edges" title="Link to this definition">#</a></dt>
+<dd><p>Subselect edges using a stricter cutoff and max_neighbors.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.generate_graph_dict">
+<span class="sig-name descname"><span class="pre">generate_graph_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.generate_graph_dict" title="Link to this definition">#</a></dt>
+<dd><p>Generate a radius/nearest neighbor graph.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_graph">
+<span class="sig-name descname"><span class="pre">subselect_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_orig</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_orig</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_graph" title="Link to this definition">#</a></dt>
+<dd><p>If the new cutoff and max_neighbors is different from the original,
+subselect the edges of a given graph.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.get_graphs_and_indices">
+<span class="sig-name descname"><span class="pre">get_graphs_and_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.get_graphs_and_indices" title="Link to this definition">#</a></dt>
+<dd><p>“Generate embedding and interaction graphs and indices.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.get_bases">
+<span class="sig-name descname"><span class="pre">get_bases</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">main_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2a_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2ee2a_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qint_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trip_idx_e2e</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trip_idx_a2e</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trip_idx_e2a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quad_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.get_bases" title="Link to this definition">#</a></dt>
+<dd><p>Calculate and transform basis functions.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOC.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.gemnet_oc.</span></span><span class="sig-name descname"><span class="pre">GemNetOCBackbone</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_aint_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_aint_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_sbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_output_afteratom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom_emb_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_global_out_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_backprop_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_qint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aeaint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_qint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aeaint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_neighbors_strictly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">forces_coupled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quad_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_edge_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_atom_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qint_tags</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">83</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC" title="core.models.gemnet_oc.gemnet_oc.GemNetOC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetOC</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.BackboneInterface</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks to be stacked.</p></li>
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_trip_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_quad_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_quad_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_aint_in</strong> (<em>int</em>) – Embedding size in the atom interaction before the bilinear layer.</p></li>
+<li><p><strong>emb_size_aint_out</strong> (<em>int</em>) – Embedding size in the atom interaction after the bilinear layer.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_sbf</strong> (<em>int</em>) – Embedding size of the spherical basis transformation (two angles).</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>num_output_afteratom</strong> (<em>int</em>) – Number of residual blocks in the output blocks
+after adding the atom embedding.</p></li>
+<li><p><strong>num_atom_emb_layers</strong> (<em>int</em>) – Number of residual blocks for transforming atom embeddings.</p></li>
+<li><p><strong>num_global_out_layers</strong> (<em>int</em>) – Number of final residual blocks before the output.</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Whether to predict forces. Default: True</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If True predict forces based on aggregation of interatomic directions.
+If False predict forces based on negative gradient of energy potential.</p></li>
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Whether to use periodic boundary conditions.</p></li>
+<li><p><strong>use_pbc_single</strong> – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>scale_backprop_forces</strong> (<em>bool</em>) – Whether to scale up the energy and then scales down the forces
+to prevent NaNs and infs in backpropagated forces.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Embedding cutoff for interatomic connections and embeddings in Angstrom.</p></li>
+<li><p><strong>cutoff_qint</strong> (<em>float</em>) – Quadruplet interaction cutoff in Angstrom.
+Optional. Uses cutoff per default.</p></li>
+<li><p><strong>cutoff_aeaint</strong> (<em>float</em>) – Edge-to-atom and atom-to-edge interaction cutoff in Angstrom.
+Optional. Uses cutoff per default.</p></li>
+<li><p><strong>cutoff_aint</strong> (<em>float</em>) – Atom-to-atom interaction cutoff in Angstrom.
+Optional. Uses maximum of all other cutoffs per default.</p></li>
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Maximum number of neighbors for interatomic connections and embeddings.</p></li>
+<li><p><strong>max_neighbors_qint</strong> (<em>int</em>) – Maximum number of quadruplet interactions per embedding.
+Optional. Uses max_neighbors per default.</p></li>
+<li><p><strong>max_neighbors_aeaint</strong> (<em>int</em>) – Maximum number of edge-to-atom and atom-to-edge interactions per embedding.
+Optional. Uses max_neighbors per default.</p></li>
+<li><p><strong>max_neighbors_aint</strong> (<em>int</em>) – Maximum number of atom-to-atom interactions per atom.
+Optional. Uses maximum of all other neighbors per default.</p></li>
+<li><p><strong>enforce_max_neighbors_strictly</strong> (<em>bool</em>) – When subselected edges based on max_neighbors args, arbitrarily
+select amongst degenerate edges to have exactly the correct number.</p></li>
+<li><p><strong>rbf</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function.</p></li>
+<li><p><strong>rbf_spherical</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function used as part of the
+circular and spherical bases.
+Optional. Uses rbf per default.</p></li>
+<li><p><strong>envelope</strong> (<em>dict</em>) – Name and hyperparameters of the envelope function.</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the circular basis function.</p></li>
+<li><p><strong>sbf</strong> (<em>dict</em>) – Name and hyperparameters of the spherical basis function.</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether the output should be extensive (proportional to the number of atoms)</p></li>
+<li><p><strong>forces_coupled</strong> (<em>bool</em>) – If True, enforce that <a href="#id5"><span class="problematic" id="id6">|F_st|</span></a> = <a href="#id7"><span class="problematic" id="id8">|F_ts|</span></a>. No effect if direct_forces is False.</p></li>
+<li><p><strong>output_init</strong> (<em>str</em>) – Initialization method for the final dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function.</p></li>
+<li><p><strong>scale_file</strong> (<em>str</em>) – Path to the pytorch file containing the scaling factors.</p></li>
+<li><p><strong>quad_interaction</strong> (<em>bool</em>) – Whether to use quadruplet interactions (with dihedral angles)</p></li>
+<li><p><strong>atom_edge_interaction</strong> (<em>bool</em>) – Whether to use atom-to-edge interactions</p></li>
+<li><p><strong>edge_atom_interaction</strong> (<em>bool</em>) – Whether to use edge-to-atom interactions</p></li>
+<li><p><strong>atom_interaction</strong> (<em>bool</em>) – Whether to use atom-to-atom interactions</p></li>
+<li><p><strong>scale_basis</strong> (<em>bool</em>) – Whether to use a scaling layer in the raw basis function for better
+numerical stability.</p></li>
+<li><p><strong>qint_tags</strong> (<em>list</em>) – Which atom tags to use quadruplet interactions for.
+0=sub-surface bulk, 1=surface, 2=adsorbate atoms.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone.forward" title="Link to this definition">#</a></dt>
+<dd><p>Backbone forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>embedding</strong> – Return backbone embeddings for the given input</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.gemnet_oc.</span></span><span class="sig-name descname"><span class="pre">GemNetOCEnergyAndGradForceHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.models.base.BackboneInterface</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_global_out_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.force_scaler">
+<span class="sig-name descname"><span class="pre">force_scaler</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.force_scaler" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_mlp_E">
+<span class="sig-name descname"><span class="pre">out_mlp_E</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_mlp_E" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_energy">
+<span class="sig-name descname"><span class="pre">out_energy</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.gemnet_oc.</span></span><span class="sig-name descname"><span class="pre">GemNetOCForceHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_global_out_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forces_coupled">
+<span class="sig-name descname"><span class="pre">forces_coupled</span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forces_coupled" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC"><code class="docutils literal notranslate"><span class="pre">GemNetOC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.num_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetOC.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.activation"><code class="docutils literal notranslate"><span class="pre">GemNetOC.activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_edge_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_edge_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_atom_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.edge_atom_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.quad_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.quad_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.qint_tags"><code class="docutils literal notranslate"><span class="pre">GemNetOC.qint_tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.otf_graph"><code class="docutils literal notranslate"><span class="pre">GemNetOC.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">GemNetOC.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc"><code class="docutils literal notranslate"><span class="pre">GemNetOC.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GemNetOC.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOC.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.forces_coupled"><code class="docutils literal notranslate"><span class="pre">GemNetOC.forces_coupled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOC.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.force_scaler"><code class="docutils literal notranslate"><span class="pre">GemNetOC.force_scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_emb"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_emb"><code class="docutils literal notranslate"><span class="pre">GemNetOC.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.int_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_mlp_E"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_mlp_E</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_energy"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.set_cutoffs"><code class="docutils literal notranslate"><span class="pre">GemNetOC.set_cutoffs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.set_max_neighbors"><code class="docutils literal notranslate"><span class="pre">GemNetOC.set_max_neighbors()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.init_basis_functions"><code class="docutils literal notranslate"><span class="pre">GemNetOC.init_basis_functions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.init_shared_basis_layers"><code class="docutils literal notranslate"><span class="pre">GemNetOC.init_shared_basis_layers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.calculate_quad_angles"><code class="docutils literal notranslate"><span class="pre">GemNetOC.calculate_quad_angles()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.symmetrize_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.symmetrize_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.subselect_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.generate_graph_dict"><code class="docutils literal notranslate"><span class="pre">GemNetOC.generate_graph_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_graph"><code class="docutils literal notranslate"><span class="pre">GemNetOC.subselect_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.get_graphs_and_indices"><code class="docutils literal notranslate"><span class="pre">GemNetOC.get_graphs_and_indices()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.get_bases"><code class="docutils literal notranslate"><span class="pre">GemNetOC.get_bases()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOC.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOC.num_params"><code class="docutils literal notranslate"><span class="pre">GemNetOC.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone"><code class="docutils literal notranslate"><span class="pre">GemNetOCBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOCBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.force_scaler"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.force_scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_mlp_E"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.out_mlp_E</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_energy"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOCEnergyAndGradForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead"><code class="docutils literal notranslate"><span class="pre">GemNetOCForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOCForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forces_coupled"><code class="docutils literal notranslate"><span class="pre">GemNetOCForceHead.forces_coupled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOCForceHead.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.gemnet_oc</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC"><code class="docutils literal notranslate"><span class="pre">GemNetOC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.num_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetOC.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.activation"><code class="docutils literal notranslate"><span class="pre">GemNetOC.activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.atom_edge_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_edge_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.edge_atom_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.edge_atom_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.atom_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.quad_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.quad_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.qint_tags"><code class="docutils literal notranslate"><span class="pre">GemNetOC.qint_tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.otf_graph"><code class="docutils literal notranslate"><span class="pre">GemNetOC.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">GemNetOC.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.use_pbc"><code class="docutils literal notranslate"><span class="pre">GemNetOC.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GemNetOC.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOC.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.forces_coupled"><code class="docutils literal notranslate"><span class="pre">GemNetOC.forces_coupled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOC.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.force_scaler"><code class="docutils literal notranslate"><span class="pre">GemNetOC.force_scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.atom_emb"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.edge_emb"><code class="docutils literal notranslate"><span class="pre">GemNetOC.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.int_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.out_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.out_mlp_E"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_mlp_E</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.out_energy"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.set_cutoffs"><code class="docutils literal notranslate"><span class="pre">GemNetOC.set_cutoffs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.set_max_neighbors"><code class="docutils literal notranslate"><span class="pre">GemNetOC.set_max_neighbors()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.init_basis_functions"><code class="docutils literal notranslate"><span class="pre">GemNetOC.init_basis_functions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.init_shared_basis_layers"><code class="docutils literal notranslate"><span class="pre">GemNetOC.init_shared_basis_layers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.calculate_quad_angles"><code class="docutils literal notranslate"><span class="pre">GemNetOC.calculate_quad_angles()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.symmetrize_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.symmetrize_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.subselect_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.subselect_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.generate_graph_dict"><code class="docutils literal notranslate"><span class="pre">GemNetOC.generate_graph_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.subselect_graph"><code class="docutils literal notranslate"><span class="pre">GemNetOC.subselect_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.get_graphs_and_indices"><code class="docutils literal notranslate"><span class="pre">GemNetOC.get_graphs_and_indices()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.get_bases"><code class="docutils literal notranslate"><span class="pre">GemNetOC.get_bases()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOC.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.num_params"><code class="docutils literal notranslate"><span class="pre">GemNetOC.num_params</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc">
+<span id="core-models-gemnet-oc"></span><h1>core.models.gemnet_oc<a class="headerlink" href="#module-core.models.gemnet_oc" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="gemnet_oc/index.html">core.models.gemnet_oc.gemnet_oc</a></li>
+<li class="toctree-l1"><a class="reference internal" href="initializers/index.html">core.models.gemnet_oc.initializers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="interaction_indices/index.html">core.models.gemnet_oc.interaction_indices</a></li>
+<li class="toctree-l1"><a class="reference internal" href="layers/index.html">core.models.gemnet_oc.layers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="utils/index.html">core.models.gemnet_oc.utils</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.GemNetOC" title="core.models.gemnet_oc.GemNetOC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GemNetOC</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.</span></span><span class="sig-name descname"><span class="pre">GemNetOC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_aint_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_aint_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_sbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_output_afteratom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom_emb_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_global_out_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_backprop_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_qint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aeaint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_qint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aeaint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_max_neighbors_strictly</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extensive</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">forces_coupled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'HeOrthogonal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'silu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quad_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_edge_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_atom_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qint_tags</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">83</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
+<li><p><strong>num_blocks</strong> (<em>int</em>) – Number of building blocks to be stacked.</p></li>
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_trip_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_quad_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_quad_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_aint_in</strong> (<em>int</em>) – Embedding size in the atom interaction before the bilinear layer.</p></li>
+<li><p><strong>emb_size_aint_out</strong> (<em>int</em>) – Embedding size in the atom interaction after the bilinear layer.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_sbf</strong> (<em>int</em>) – Embedding size of the spherical basis transformation (two angles).</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>num_output_afteratom</strong> (<em>int</em>) – Number of residual blocks in the output blocks
+after adding the atom embedding.</p></li>
+<li><p><strong>num_atom_emb_layers</strong> (<em>int</em>) – Number of residual blocks for transforming atom embeddings.</p></li>
+<li><p><strong>num_global_out_layers</strong> (<em>int</em>) – Number of final residual blocks before the output.</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Whether to predict forces. Default: True</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If True predict forces based on aggregation of interatomic directions.
+If False predict forces based on negative gradient of energy potential.</p></li>
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Whether to use periodic boundary conditions.</p></li>
+<li><p><strong>use_pbc_single</strong> – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>scale_backprop_forces</strong> (<em>bool</em>) – Whether to scale up the energy and then scales down the forces
+to prevent NaNs and infs in backpropagated forces.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Embedding cutoff for interatomic connections and embeddings in Angstrom.</p></li>
+<li><p><strong>cutoff_qint</strong> (<em>float</em>) – Quadruplet interaction cutoff in Angstrom.
+Optional. Uses cutoff per default.</p></li>
+<li><p><strong>cutoff_aeaint</strong> (<em>float</em>) – Edge-to-atom and atom-to-edge interaction cutoff in Angstrom.
+Optional. Uses cutoff per default.</p></li>
+<li><p><strong>cutoff_aint</strong> (<em>float</em>) – Atom-to-atom interaction cutoff in Angstrom.
+Optional. Uses maximum of all other cutoffs per default.</p></li>
+<li><p><strong>max_neighbors</strong> (<em>int</em>) – Maximum number of neighbors for interatomic connections and embeddings.</p></li>
+<li><p><strong>max_neighbors_qint</strong> (<em>int</em>) – Maximum number of quadruplet interactions per embedding.
+Optional. Uses max_neighbors per default.</p></li>
+<li><p><strong>max_neighbors_aeaint</strong> (<em>int</em>) – Maximum number of edge-to-atom and atom-to-edge interactions per embedding.
+Optional. Uses max_neighbors per default.</p></li>
+<li><p><strong>max_neighbors_aint</strong> (<em>int</em>) – Maximum number of atom-to-atom interactions per atom.
+Optional. Uses maximum of all other neighbors per default.</p></li>
+<li><p><strong>enforce_max_neighbors_strictly</strong> (<em>bool</em>) – When subselected edges based on max_neighbors args, arbitrarily
+select amongst degenerate edges to have exactly the correct number.</p></li>
+<li><p><strong>rbf</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function.</p></li>
+<li><p><strong>rbf_spherical</strong> (<em>dict</em>) – Name and hyperparameters of the radial basis function used as part of the
+circular and spherical bases.
+Optional. Uses rbf per default.</p></li>
+<li><p><strong>envelope</strong> (<em>dict</em>) – Name and hyperparameters of the envelope function.</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the circular basis function.</p></li>
+<li><p><strong>sbf</strong> (<em>dict</em>) – Name and hyperparameters of the spherical basis function.</p></li>
+<li><p><strong>extensive</strong> (<em>bool</em>) – Whether the output should be extensive (proportional to the number of atoms)</p></li>
+<li><p><strong>forces_coupled</strong> (<em>bool</em>) – If True, enforce that <a href="#id1"><span class="problematic" id="id2">|F_st|</span></a> = <a href="#id3"><span class="problematic" id="id4">|F_ts|</span></a>. No effect if direct_forces is False.</p></li>
+<li><p><strong>output_init</strong> (<em>str</em>) – Initialization method for the final dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function.</p></li>
+<li><p><strong>scale_file</strong> (<em>str</em>) – Path to the pytorch file containing the scaling factors.</p></li>
+<li><p><strong>quad_interaction</strong> (<em>bool</em>) – Whether to use quadruplet interactions (with dihedral angles)</p></li>
+<li><p><strong>atom_edge_interaction</strong> (<em>bool</em>) – Whether to use atom-to-edge interactions</p></li>
+<li><p><strong>edge_atom_interaction</strong> (<em>bool</em>) – Whether to use edge-to-atom interactions</p></li>
+<li><p><strong>atom_interaction</strong> (<em>bool</em>) – Whether to use atom-to-atom interactions</p></li>
+<li><p><strong>scale_basis</strong> (<em>bool</em>) – Whether to use a scaling layer in the raw basis function for better
+numerical stability.</p></li>
+<li><p><strong>qint_tags</strong> (<em>list</em>) – Which atom tags to use quadruplet interactions for.
+0=sub-surface bulk, 1=surface, 2=adsorbate atoms.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.num_blocks">
+<span class="sig-name descname"><span class="pre">num_blocks</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.num_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.extensive">
+<span class="sig-name descname"><span class="pre">extensive</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.extensive" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.activation">
+<span class="sig-name descname"><span class="pre">activation</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.atom_edge_interaction">
+<span class="sig-name descname"><span class="pre">atom_edge_interaction</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.atom_edge_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.edge_atom_interaction">
+<span class="sig-name descname"><span class="pre">edge_atom_interaction</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.edge_atom_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.atom_interaction">
+<span class="sig-name descname"><span class="pre">atom_interaction</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.atom_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.quad_interaction">
+<span class="sig-name descname"><span class="pre">quad_interaction</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.quad_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.qint_tags">
+<span class="sig-name descname"><span class="pre">qint_tags</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.qint_tags" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly">
+<span class="sig-name descname"><span class="pre">enforce_max_neighbors_strictly</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.forces_coupled">
+<span class="sig-name descname"><span class="pre">forces_coupled</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.forces_coupled" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.force_scaler">
+<span class="sig-name descname"><span class="pre">force_scaler</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.force_scaler" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.atom_emb">
+<span class="sig-name descname"><span class="pre">atom_emb</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.atom_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.edge_emb">
+<span class="sig-name descname"><span class="pre">edge_emb</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.edge_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.int_blocks">
+<span class="sig-name descname"><span class="pre">int_blocks</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.int_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.out_blocks">
+<span class="sig-name descname"><span class="pre">out_blocks</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.out_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.out_mlp_E">
+<span class="sig-name descname"><span class="pre">out_mlp_E</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.out_mlp_E" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.out_energy">
+<span class="sig-name descname"><span class="pre">out_energy</span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.out_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.set_cutoffs">
+<span class="sig-name descname"><span class="pre">set_cutoffs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cutoff</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_qint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aeaint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_aint</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.set_cutoffs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.set_max_neighbors">
+<span class="sig-name descname"><span class="pre">set_max_neighbors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_qint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aeaint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_aint</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.set_max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.init_basis_functions">
+<span class="sig-name descname"><span class="pre">init_basis_functions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf_spherical</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_basis</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.init_basis_functions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.init_shared_basis_layers">
+<span class="sig-name descname"><span class="pre">init_shared_basis_layers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_sbf</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.init_shared_basis_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.calculate_quad_angles">
+<span class="sig-name descname"><span class="pre">calculate_quad_angles</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">V_st</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">V_qint_st</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quad_idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.calculate_quad_angles" title="Link to this definition">#</a></dt>
+<dd><p>Calculate angles for quadruplet-based message passing.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>V_st</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nAtoms</em><em>, </em><em>3</em><em>)</em>) – Normalized directions from s to t</p></li>
+<li><p><strong>V_qint_st</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nAtoms</em><em>, </em><em>3</em><em>)</em>) – Normalized directions from s to t for the quadruplet
+interaction graph</p></li>
+<li><p><strong>quad_idx</strong> (<em>dict</em><em> of </em><em>torch.Tensor</em>) – Indices relevant for quadruplet interactions.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>cosφ_cab</strong> (<em>Tensor, shape = (num_triplets_inint,)</em>) – Cosine of angle between atoms c -&gt; a &lt;- b.</p></li>
+<li><p><strong>cosφ_abd</strong> (<em>Tensor, shape = (num_triplets_qint,)</em>) – Cosine of angle between atoms a -&gt; b -&gt; d.</p></li>
+<li><p><strong>angle_cabd</strong> (<em>Tensor, shape = (num_quadruplets,)</em>) – Dihedral angle between atoms c &lt;- a-b -&gt; d.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.select_symmetric_edges">
+<span class="sig-name descname"><span class="pre">select_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite_neg</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.select_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd><p>Use a mask to remove values of removed edges and then
+duplicate the values for the correct edge direction.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>tensor</strong> (<em>torch.Tensor</em>) – Values to symmetrize for the new tensor.</p></li>
+<li><p><strong>mask</strong> (<em>torch.Tensor</em>) – Mask defining which edges go in the correct direction.</p></li>
+<li><p><strong>reorder_idx</strong> (<em>torch.Tensor</em>) – Indices defining how to reorder the tensor values after
+concatenating the edge values of both directions.</p></li>
+<li><p><strong>opposite_neg</strong> (<em>bool</em>) – Whether the edge in the opposite direction should use the
+negative tensor value.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>tensor_ordered</strong> – A tensor with symmetrized values.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>torch.Tensor</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.symmetrize_edges">
+<span class="sig-name descname"><span class="pre">symmetrize_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.symmetrize_edges" title="Link to this definition">#</a></dt>
+<dd><p>Symmetrize edges to ensure existence of counter-directional edges.</p>
+<p>Some edges are only present in one direction in the data,
+since every atom has a maximum number of neighbors.
+We only use i-&gt;j edges here. So we lose some j-&gt;i edges
+and add others by making it symmetric.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.subselect_edges">
+<span class="sig-name descname"><span class="pre">subselect_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.subselect_edges" title="Link to this definition">#</a></dt>
+<dd><p>Subselect edges using a stricter cutoff and max_neighbors.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.generate_graph_dict">
+<span class="sig-name descname"><span class="pre">generate_graph_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.generate_graph_dict" title="Link to this definition">#</a></dt>
+<dd><p>Generate a radius/nearest neighbor graph.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.subselect_graph">
+<span class="sig-name descname"><span class="pre">subselect_graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_orig</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors_orig</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.subselect_graph" title="Link to this definition">#</a></dt>
+<dd><p>If the new cutoff and max_neighbors is different from the original,
+subselect the edges of a given graph.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.get_graphs_and_indices">
+<span class="sig-name descname"><span class="pre">get_graphs_and_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.get_graphs_and_indices" title="Link to this definition">#</a></dt>
+<dd><p>“Generate embedding and interaction graphs and indices.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.get_bases">
+<span class="sig-name descname"><span class="pre">get_bases</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">main_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2a_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2ee2a_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qint_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trip_idx_e2e</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trip_idx_a2e</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trip_idx_e2a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quad_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.get_bases" title="Link to this definition">#</a></dt>
+<dd><p>Calculate and transform basis functions.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.GemNetOC.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.gemnet_oc.GemNetOC.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC"><code class="docutils literal notranslate"><span class="pre">GemNetOC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.num_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.num_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.extensive"><code class="docutils literal notranslate"><span class="pre">GemNetOC.extensive</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.activation"><code class="docutils literal notranslate"><span class="pre">GemNetOC.activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.atom_edge_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_edge_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.edge_atom_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.edge_atom_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.atom_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.quad_interaction"><code class="docutils literal notranslate"><span class="pre">GemNetOC.quad_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.qint_tags"><code class="docutils literal notranslate"><span class="pre">GemNetOC.qint_tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.otf_graph"><code class="docutils literal notranslate"><span class="pre">GemNetOC.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly"><code class="docutils literal notranslate"><span class="pre">GemNetOC.enforce_max_neighbors_strictly</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.use_pbc"><code class="docutils literal notranslate"><span class="pre">GemNetOC.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">GemNetOC.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.direct_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOC.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.forces_coupled"><code class="docutils literal notranslate"><span class="pre">GemNetOC.forces_coupled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.regress_forces"><code class="docutils literal notranslate"><span class="pre">GemNetOC.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.force_scaler"><code class="docutils literal notranslate"><span class="pre">GemNetOC.force_scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.atom_emb"><code class="docutils literal notranslate"><span class="pre">GemNetOC.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.edge_emb"><code class="docutils literal notranslate"><span class="pre">GemNetOC.edge_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.int_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.int_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.out_blocks"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.out_mlp_E"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_mlp_E</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.out_energy"><code class="docutils literal notranslate"><span class="pre">GemNetOC.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.set_cutoffs"><code class="docutils literal notranslate"><span class="pre">GemNetOC.set_cutoffs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.set_max_neighbors"><code class="docutils literal notranslate"><span class="pre">GemNetOC.set_max_neighbors()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.init_basis_functions"><code class="docutils literal notranslate"><span class="pre">GemNetOC.init_basis_functions()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.init_shared_basis_layers"><code class="docutils literal notranslate"><span class="pre">GemNetOC.init_shared_basis_layers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.calculate_quad_angles"><code class="docutils literal notranslate"><span class="pre">GemNetOC.calculate_quad_angles()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.symmetrize_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.symmetrize_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.subselect_edges"><code class="docutils literal notranslate"><span class="pre">GemNetOC.subselect_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.generate_graph_dict"><code class="docutils literal notranslate"><span class="pre">GemNetOC.generate_graph_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.subselect_graph"><code class="docutils literal notranslate"><span class="pre">GemNetOC.subselect_graph()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.get_graphs_and_indices"><code class="docutils literal notranslate"><span class="pre">GemNetOC.get_graphs_and_indices()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.get_bases"><code class="docutils literal notranslate"><span class="pre">GemNetOC.get_bases()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.forward"><code class="docutils literal notranslate"><span class="pre">GemNetOC.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.GemNetOC.num_params"><code class="docutils literal notranslate"><span class="pre">GemNetOC.num_params</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers._standardize"><code class="docutils literal notranslate"><span class="pre">_standardize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers.he_orthogonal_init"><code class="docutils literal notranslate"><span class="pre">he_orthogonal_init()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers.grid_init"><code class="docutils literal notranslate"><span class="pre">grid_init()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers.log_grid_init"><code class="docutils literal notranslate"><span class="pre">log_grid_init()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers.get_initializer"><code class="docutils literal notranslate"><span class="pre">get_initializer()</span></code></a></li>
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+                  
+  <section id="module-core.models.gemnet_oc.initializers">
+<span id="core-models-gemnet-oc-initializers"></span><h1>core.models.gemnet_oc.initializers<a class="headerlink" href="#module-core.models.gemnet_oc.initializers" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.initializers._standardize" title="core.models.gemnet_oc.initializers._standardize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_standardize</span></code></a>(kernel)</p></td>
+<td><p>Makes sure that N*Var(W) = 1 and E[W] = 0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.initializers.he_orthogonal_init" title="core.models.gemnet_oc.initializers.he_orthogonal_init"><code class="xref py py-obj docutils literal notranslate"><span class="pre">he_orthogonal_init</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Generate a weight matrix with variance according to He (Kaiming) initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.initializers.grid_init" title="core.models.gemnet_oc.initializers.grid_init"><code class="xref py py-obj docutils literal notranslate"><span class="pre">grid_init</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Generate a weight matrix so that each input value corresponds to one value on a regular grid between start and end.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.initializers.log_grid_init" title="core.models.gemnet_oc.initializers.log_grid_init"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_grid_init</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Generate a weight matrix so that each input value corresponds to one value on a regular logarithmic grid between 10^start and 10^end.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.initializers.get_initializer" title="core.models.gemnet_oc.initializers.get_initializer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_initializer</span></code></a>(name, **init_kwargs)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.initializers._standardize">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.initializers.</span></span><span class="sig-name descname"><span class="pre">_standardize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">kernel</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.initializers._standardize" title="Link to this definition">#</a></dt>
+<dd><p>Makes sure that N*Var(W) = 1 and E[W] = 0</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.initializers.he_orthogonal_init">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.initializers.</span></span><span class="sig-name descname"><span class="pre">he_orthogonal_init</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.initializers.he_orthogonal_init" title="Link to this definition">#</a></dt>
+<dd><p>Generate a weight matrix with variance according to He (Kaiming) initialization.
+Based on a random (semi-)orthogonal matrix neural networks
+are expected to learn better when features are decorrelated
+(stated by eg. “Reducing overfitting in deep networks by decorrelating representations”,
+“Dropout: a simple way to prevent neural networks from overfitting”,
+“Exact solutions to the nonlinear dynamics of learning in deep linear neural networks”)</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.initializers.grid_init">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.initializers.</span></span><span class="sig-name descname"><span class="pre">grid_init</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.initializers.grid_init" title="Link to this definition">#</a></dt>
+<dd><p>Generate a weight matrix so that each input value corresponds to one value on a regular grid between start and end.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.initializers.log_grid_init">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.initializers.</span></span><span class="sig-name descname"><span class="pre">log_grid_init</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.initializers.log_grid_init" title="Link to this definition">#</a></dt>
+<dd><p>Generate a weight matrix so that each input value corresponds to one value on a regular logarithmic grid between 10^start and 10^end.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.initializers.get_initializer">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.initializers.</span></span><span class="sig-name descname"><span class="pre">get_initializer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">init_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.initializers.get_initializer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers._standardize"><code class="docutils literal notranslate"><span class="pre">_standardize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers.he_orthogonal_init"><code class="docutils literal notranslate"><span class="pre">he_orthogonal_init()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers.grid_init"><code class="docutils literal notranslate"><span class="pre">grid_init()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers.log_grid_init"><code class="docutils literal notranslate"><span class="pre">log_grid_init()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.initializers.get_initializer"><code class="docutils literal notranslate"><span class="pre">get_initializer()</span></code></a></li>
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+    <h1>core.models.gemnet_oc.interaction_indices</h1>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.interaction_indices.get_triplets"><code class="docutils literal notranslate"><span class="pre">get_triplets()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.interaction_indices.get_mixed_triplets"><code class="docutils literal notranslate"><span class="pre">get_mixed_triplets()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.interaction_indices.get_quadruplets"><code class="docutils literal notranslate"><span class="pre">get_quadruplets()</span></code></a></li>
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+  <section id="module-core.models.gemnet_oc.interaction_indices">
+<span id="core-models-gemnet-oc-interaction-indices"></span><h1>core.models.gemnet_oc.interaction_indices<a class="headerlink" href="#module-core.models.gemnet_oc.interaction_indices" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.interaction_indices.get_triplets" title="core.models.gemnet_oc.interaction_indices.get_triplets"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_triplets</span></code></a>(graph, num_atoms)</p></td>
+<td><p>Get all input edges b-&gt;a for each output edge c-&gt;a.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.interaction_indices.get_mixed_triplets" title="core.models.gemnet_oc.interaction_indices.get_mixed_triplets"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_mixed_triplets</span></code></a>(graph_in, graph_out, num_atoms[, ...])</p></td>
+<td><p>Get all output edges (ingoing or outgoing) for each incoming edge.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.interaction_indices.get_quadruplets" title="core.models.gemnet_oc.interaction_indices.get_quadruplets"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_quadruplets</span></code></a>(main_graph, qint_graph, num_atoms)</p></td>
+<td><p>Get all d-&gt;b for each edge c-&gt;a and connection b-&gt;a</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.interaction_indices.get_triplets">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.interaction_indices.</span></span><span class="sig-name descname"><span class="pre">get_triplets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.interaction_indices.get_triplets" title="Link to this definition">#</a></dt>
+<dd><p>Get all input edges b-&gt;a for each output edge c-&gt;a.
+It is possible that b=c, as long as the edges are distinct
+(i.e. atoms b and c stem from different unit cells).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>graph</strong> (<em>dict</em><em> of </em><em>torch.Tensor</em>) – Contains the graph’s edge_index.</p></li>
+<li><p><strong>num_atoms</strong> (<em>int</em>) – Total number of atoms.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>in: torch.Tensor, shape (num_triplets,)</dt><dd><p>Indices of input edge b-&gt;a of each triplet b-&gt;a&lt;-c</p>
+</dd>
+<dt>out: torch.Tensor, shape (num_triplets,)</dt><dd><p>Indices of output edge c-&gt;a of each triplet b-&gt;a&lt;-c</p>
+</dd>
+<dt>out_agg: torch.Tensor, shape (num_triplets,)</dt><dd><p>Indices enumerating the intermediate edges of each output edge.
+Used for creating a padded matrix and aggregating via matmul.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Dictionary containing the entries</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.interaction_indices.get_mixed_triplets">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.interaction_indices.</span></span><span class="sig-name descname"><span class="pre">get_mixed_triplets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph_in</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">graph_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">to_outedge</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_adj</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_agg_idx</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.interaction_indices.get_mixed_triplets" title="Link to this definition">#</a></dt>
+<dd><p>Get all output edges (ingoing or outgoing) for each incoming edge.
+It is possible that in atom=out atom, as long as the edges are distinct
+(i.e. they stem from different unit cells). In edges and out edges stem
+from separate graphs (hence “mixed”) with shared atoms.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>graph_in</strong> (<em>dict</em><em> of </em><em>torch.Tensor</em>) – Contains the input graph’s edge_index and cell_offset.</p></li>
+<li><p><strong>graph_out</strong> (<em>dict</em><em> of </em><em>torch.Tensor</em>) – Contains the output graph’s edge_index and cell_offset.
+Input and output graphs use the same atoms, but different edges.</p></li>
+<li><p><strong>num_atoms</strong> (<em>int</em>) – Total number of atoms.</p></li>
+<li><p><strong>to_outedge</strong> (<em>bool</em>) – Whether to map the output to the atom’s outgoing edges a-&gt;c
+instead of the ingoing edges c-&gt;a.</p></li>
+<li><p><strong>return_adj</strong> (<em>bool</em>) – Whether to output the adjacency (incidence) matrix between output
+edges and atoms adj_edges.</p></li>
+<li><p><strong>return_agg_idx</strong> (<em>bool</em>) – Whether to output the indices enumerating the intermediate edges
+of each output edge.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>in: torch.Tensor, shape (num_triplets,)</dt><dd><p>Indices of input edges</p>
+</dd>
+<dt>out: torch.Tensor, shape (num_triplets,)</dt><dd><p>Indices of output edges</p>
+</dd>
+<dt>adj_edges: SparseTensor, shape (num_edges, num_atoms)</dt><dd><p>Adjacency (incidence) matrix between output edges and atoms,
+with values specifying the input edges.
+Only returned if return_adj is True.</p>
+</dd>
+<dt>out_agg: torch.Tensor, shape (num_triplets,)</dt><dd><p>Indices enumerating the intermediate edges of each output edge.
+Used for creating a padded matrix and aggregating via matmul.
+Only returned if return_agg_idx is True.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Dictionary containing the entries</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.interaction_indices.get_quadruplets">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.interaction_indices.</span></span><span class="sig-name descname"><span class="pre">get_quadruplets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">main_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qint_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.interaction_indices.get_quadruplets" title="Link to this definition">#</a></dt>
+<dd><p>Get all d-&gt;b for each edge c-&gt;a and connection b-&gt;a
+Careful about periodic images!
+Separate interaction cutoff not supported.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>main_graph</strong> (<em>dict</em><em> of </em><em>torch.Tensor</em>) – Contains the main graph’s edge_index and cell_offset.
+The main graph defines which edges are embedded.</p></li>
+<li><p><strong>qint_graph</strong> (<em>dict</em><em> of </em><em>torch.Tensor</em>) – Contains the quadruplet interaction graph’s edge_index and
+cell_offset. main_graph and qint_graph use the same atoms,
+but different edges.</p></li>
+<li><p><strong>num_atoms</strong> (<em>int</em>) – Total number of atoms.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>triplet_in[‘in’]: torch.Tensor, shape (nTriplets,)</dt><dd><p>Indices of input edge d-&gt;b in triplet d-&gt;b-&gt;a.</p>
+</dd>
+<dt>triplet_in[‘out’]: torch.Tensor, shape (nTriplets,)</dt><dd><p>Interaction indices of output edge b-&gt;a in triplet d-&gt;b-&gt;a.</p>
+</dd>
+<dt>triplet_out[‘in’]: torch.Tensor, shape (nTriplets,)</dt><dd><p>Interaction indices of input edge b-&gt;a in triplet c-&gt;a&lt;-b.</p>
+</dd>
+<dt>triplet_out[‘out’]: torch.Tensor, shape (nTriplets,)</dt><dd><p>Indices of output edge c-&gt;a in triplet c-&gt;a&lt;-b.</p>
+</dd>
+<dt>out: torch.Tensor, shape (nQuadruplets,)</dt><dd><p>Indices of output edge c-&gt;a in quadruplet</p>
+</dd>
+<dt>trip_in_to_quad: torch.Tensor, shape (nQuadruplets,)</dt><dd><p>Indices to map from input triplet d-&gt;b-&gt;a
+to quadruplet d-&gt;b-&gt;a&lt;-c.</p>
+</dd>
+<dt>trip_out_to_quad: torch.Tensor, shape (nQuadruplets,)</dt><dd><p>Indices to map from output triplet c-&gt;a&lt;-b
+to quadruplet d-&gt;b-&gt;a&lt;-c.</p>
+</dd>
+<dt>out_agg: torch.Tensor, shape (num_triplets,)</dt><dd><p>Indices enumerating the intermediate edges of each output edge.
+Used for creating a padded matrix and aggregating via matmul.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Dictionary containing the entries</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.interaction_indices.get_triplets"><code class="docutils literal notranslate"><span class="pre">get_triplets()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.interaction_indices.get_mixed_triplets"><code class="docutils literal notranslate"><span class="pre">get_mixed_triplets()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.interaction_indices.get_quadruplets"><code class="docutils literal notranslate"><span class="pre">get_quadruplets()</span></code></a></li>
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+    <h1>core.models.gemnet_oc.layers.atom_update_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.dense_rbf"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.dense_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.scale_sum"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.scale_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.layers"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.get_mlp"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.get_mlp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.forward"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock"><code class="docutils literal notranslate"><span class="pre">OutputBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.direct_forces"><code class="docutils literal notranslate"><span class="pre">OutputBlock.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.seq_energy_pre"><code class="docutils literal notranslate"><span class="pre">OutputBlock.seq_energy_pre</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.forward"><code class="docutils literal notranslate"><span class="pre">OutputBlock.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
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+              
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc.layers.atom_update_block">
+<span id="core-models-gemnet-oc-layers-atom-update-block"></span><h1>core.models.gemnet_oc.layers.atom_update_block<a class="headerlink" href="#module-core.models.gemnet_oc.layers.atom_update_block" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock" title="core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a></p></td>
+<td><p>Aggregate the message embeddings of the atoms</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock" title="core.models.gemnet_oc.layers.atom_update_block.OutputBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OutputBlock</span></code></a></p></td>
+<td><p>Combines the atom update block and subsequent final dense layer.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.atom_update_block.</span></span><span class="sig-name descname"><span class="pre">AtomUpdateBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Aggregate the message embeddings of the atoms</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis.</p></li>
+<li><p><strong>nHidden</strong> (<em>int</em>) – Number of residual blocks.</p></li>
+<li><p><strong>activation</strong> (<em>callable/str</em>) – Name of the activation function to use in the dense layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.dense_rbf">
+<span class="sig-name descname"><span class="pre">dense_rbf</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.dense_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.scale_sum">
+<span class="sig-name descname"><span class="pre">scale_sum</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.scale_sum" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.layers">
+<span class="sig-name descname"><span class="pre">layers</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.get_mlp">
+<span class="sig-name descname"><span class="pre">get_mlp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">units_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">units</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.get_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_rad</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_atom</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>h</strong> – Atom embedding.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nAtoms, emb_size_atom)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.OutputBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.atom_update_block.</span></span><span class="sig-name descname"><span class="pre">OutputBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nHidden_afteratom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock" title="core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a></p>
+<p>Combines the atom update block and subsequent final dense layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis.</p></li>
+<li><p><strong>nHidden</strong> (<em>int</em>) – Number of residual blocks before adding the atom embedding.</p></li>
+<li><p><strong>nHidden_afteratom</strong> (<em>int</em>) – Number of residual blocks after adding the atom embedding.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers.</p></li>
+<li><p><strong>direct_forces</strong> (<em>bool</em>) – If true directly predict forces, i.e. without taking the gradient
+of the energy potential.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.OutputBlock.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.OutputBlock.seq_energy_pre">
+<span class="sig-name descname"><span class="pre">seq_energy_pre</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.seq_energy_pre" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.atom_update_block.OutputBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_rad</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_atom</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><em>torch.Tensor, shape=(nAtoms, emb_size_atom)</em> – Output atom embeddings.</p></li>
+<li><p><em>torch.Tensor, shape=(nEdges, emb_size_edge)</em> – Output edge embeddings.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.dense_rbf"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.dense_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.scale_sum"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.scale_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.layers"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.get_mlp"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.get_mlp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.forward"><code class="docutils literal notranslate"><span class="pre">AtomUpdateBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock"><code class="docutils literal notranslate"><span class="pre">OutputBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.direct_forces"><code class="docutils literal notranslate"><span class="pre">OutputBlock.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.seq_energy_pre"><code class="docutils literal notranslate"><span class="pre">OutputBlock.seq_energy_pre</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.forward"><code class="docutils literal notranslate"><span class="pre">OutputBlock.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.gemnet_oc.layers.base_layers</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.Dense"><code class="docutils literal notranslate"><span class="pre">Dense</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.Dense.linear"><code class="docutils literal notranslate"><span class="pre">Dense.linear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.Dense.reset_parameters"><code class="docutils literal notranslate"><span class="pre">Dense.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.Dense.forward"><code class="docutils literal notranslate"><span class="pre">Dense.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.ScaledSiLU"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.ScaledSiLU.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.ScaledSiLU._activation"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU._activation</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.ScaledSiLU.forward"><code class="docutils literal notranslate"><span class="pre">ScaledSiLU.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.ResidualLayer"><code class="docutils literal notranslate"><span class="pre">ResidualLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.ResidualLayer.dense_mlp"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.dense_mlp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.ResidualLayer.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.ResidualLayer.forward"><code class="docutils literal notranslate"><span class="pre">ResidualLayer.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
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+    </div>
+</div>
+
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+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc.layers.base_layers">
+<span id="core-models-gemnet-oc-layers-base-layers"></span><h1>core.models.gemnet_oc.layers.base_layers<a class="headerlink" href="#module-core.models.gemnet_oc.layers.base_layers" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.base_layers.Dense" title="core.models.gemnet_oc.layers.base_layers.Dense"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Dense</span></code></a></p></td>
+<td><p>Combines dense layer with scaling for silu activation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.base_layers.ScaledSiLU" title="core.models.gemnet_oc.layers.base_layers.ScaledSiLU"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaledSiLU</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.base_layers.ResidualLayer" title="core.models.gemnet_oc.layers.base_layers.ResidualLayer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ResidualLayer</span></code></a></p></td>
+<td><p>Residual block with output scaled by 1/sqrt(2).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.Dense">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">Dense</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.Dense" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Combines dense layer with scaling for silu activation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>in_features</strong> (<em>int</em>) – Input embedding size.</p></li>
+<li><p><strong>out_features</strong> (<em>int</em>) – Output embedding size.</p></li>
+<li><p><strong>bias</strong> (<em>bool</em>) – True if use bias.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.Dense.linear">
+<span class="sig-name descname"><span class="pre">linear</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.Dense.linear" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.Dense.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initializer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">he_orthogonal_init</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.Dense.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.Dense.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.Dense.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.ScaledSiLU">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">ScaledSiLU</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.ScaledSiLU" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.ScaledSiLU.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.ScaledSiLU.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.ScaledSiLU._activation">
+<span class="sig-name descname"><span class="pre">_activation</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.ScaledSiLU._activation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.ScaledSiLU.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.ScaledSiLU.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.ResidualLayer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.base_layers.</span></span><span class="sig-name descname"><span class="pre">ResidualLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">units</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nLayers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Dense</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">layer_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.ResidualLayer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Residual block with output scaled by 1/sqrt(2).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>units</strong> (<em>int</em>) – Input and output embedding size.</p></li>
+<li><p><strong>nLayers</strong> (<em>int</em>) – Number of dense layers.</p></li>
+<li><p><strong>layer</strong> (<em>torch.nn.Module</em>) – Class for the layers inside the residual block.</p></li>
+<li><p><strong>layer_kwargs</strong> (<em>str</em>) – Keyword arguments for initializing the layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.ResidualLayer.dense_mlp">
+<span class="sig-name descname"><span class="pre">dense_mlp</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.ResidualLayer.dense_mlp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.ResidualLayer.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.ResidualLayer.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.base_layers.ResidualLayer.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.base_layers.ResidualLayer.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+    <i class="fa-solid fa-list"></i> Contents
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.Dense"><code class="docutils literal notranslate"><span class="pre">Dense</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.Dense.linear"><code class="docutils literal notranslate"><span class="pre">Dense.linear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.base_layers.Dense.reset_parameters"><code class="docutils literal notranslate"><span class="pre">Dense.reset_parameters()</span></code></a></li>
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+    <h1>core.models.gemnet_oc.layers.basis_utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.Jn"><code class="docutils literal notranslate"><span class="pre">Jn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.Jn_zeros"><code class="docutils literal notranslate"><span class="pre">Jn_zeros()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.spherical_bessel_formulas"><code class="docutils literal notranslate"><span class="pre">spherical_bessel_formulas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.bessel_basis"><code class="docutils literal notranslate"><span class="pre">bessel_basis()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.sph_harm_prefactor"><code class="docutils literal notranslate"><span class="pre">sph_harm_prefactor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.associated_legendre_polynomials"><code class="docutils literal notranslate"><span class="pre">associated_legendre_polynomials()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.real_sph_harm"><code class="docutils literal notranslate"><span class="pre">real_sph_harm()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.get_sph_harm_basis"><code class="docutils literal notranslate"><span class="pre">get_sph_harm_basis()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc.layers.basis_utils">
+<span id="core-models-gemnet-oc-layers-basis-utils"></span><h1>core.models.gemnet_oc.layers.basis_utils<a class="headerlink" href="#module-core.models.gemnet_oc.layers.basis_utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.basis_utils.Jn" title="core.models.gemnet_oc.layers.basis_utils.Jn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Jn</span></code></a>(r, n)</p></td>
+<td><p>numerical spherical bessel functions of order n</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.basis_utils.Jn_zeros" title="core.models.gemnet_oc.layers.basis_utils.Jn_zeros"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Jn_zeros</span></code></a>(n, k)</p></td>
+<td><p>Compute the first k zeros of the spherical bessel functions</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.basis_utils.spherical_bessel_formulas" title="core.models.gemnet_oc.layers.basis_utils.spherical_bessel_formulas"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spherical_bessel_formulas</span></code></a>(n)</p></td>
+<td><p>Computes the sympy formulas for the spherical bessel functions</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.basis_utils.bessel_basis" title="core.models.gemnet_oc.layers.basis_utils.bessel_basis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bessel_basis</span></code></a>(n, k)</p></td>
+<td><p>Compute the sympy formulas for the normalized and rescaled spherical bessel</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.basis_utils.sph_harm_prefactor" title="core.models.gemnet_oc.layers.basis_utils.sph_harm_prefactor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sph_harm_prefactor</span></code></a>(l_degree, m_order)</p></td>
+<td><p>Computes the constant pre-factor for the spherical harmonic</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.basis_utils.associated_legendre_polynomials" title="core.models.gemnet_oc.layers.basis_utils.associated_legendre_polynomials"><code class="xref py py-obj docutils literal notranslate"><span class="pre">associated_legendre_polynomials</span></code></a>(L_maxdegree[, ...])</p></td>
+<td><p>Computes string formulas of the associated legendre polynomials</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.basis_utils.real_sph_harm" title="core.models.gemnet_oc.layers.basis_utils.real_sph_harm"><code class="xref py py-obj docutils literal notranslate"><span class="pre">real_sph_harm</span></code></a>(→ None)</p></td>
+<td><p>Computes formula strings of the the real part of the spherical harmonics</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.basis_utils.get_sph_harm_basis" title="core.models.gemnet_oc.layers.basis_utils.get_sph_harm_basis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_sph_harm_basis</span></code></a>(L_maxdegree[, zero_m_only])</p></td>
+<td><p>Get a function calculating the spherical harmonics basis from z and phi.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.basis_utils.Jn">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">Jn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">r</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.basis_utils.Jn" title="Link to this definition">#</a></dt>
+<dd><p>numerical spherical bessel functions of order n</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.basis_utils.Jn_zeros">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">Jn_zeros</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.basis_utils.Jn_zeros" title="Link to this definition">#</a></dt>
+<dd><p>Compute the first k zeros of the spherical bessel functions
+up to order n (excluded)</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.basis_utils.spherical_bessel_formulas">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">spherical_bessel_formulas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.basis_utils.spherical_bessel_formulas" title="Link to this definition">#</a></dt>
+<dd><p>Computes the sympy formulas for the spherical bessel functions
+up to order n (excluded)</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.basis_utils.bessel_basis">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">bessel_basis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.basis_utils.bessel_basis" title="Link to this definition">#</a></dt>
+<dd><p>Compute the sympy formulas for the normalized and rescaled spherical bessel
+functions up to order n (excluded) and maximum frequency k (excluded).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bess_basis</strong> – Bessel basis formulas taking in a single argument x.
+Has length n where each element has length k. -&gt; In total n*k many.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.basis_utils.sph_harm_prefactor">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">sph_harm_prefactor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">l_degree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m_order</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.basis_utils.sph_harm_prefactor" title="Link to this definition">#</a></dt>
+<dd><p>Computes the constant pre-factor for the spherical harmonic
+of degree l and order m.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>l_degree</strong> (<em>int</em>) – Degree of the spherical harmonic. l &gt;= 0</p></li>
+<li><p><strong>m_order</strong> (<em>int</em>) – Order of the spherical harmonic. -l &lt;= m &lt;= l</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>factor</strong></p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.basis_utils.associated_legendre_polynomials">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">associated_legendre_polynomials</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">L_maxdegree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.basis_utils.associated_legendre_polynomials" title="Link to this definition">#</a></dt>
+<dd><p>Computes string formulas of the associated legendre polynomials
+up to degree L (excluded).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>L_maxdegree</strong> (<em>int</em>) – Degree up to which to calculate the associated legendre polynomials
+(degree L is excluded).</p></li>
+<li><p><strong>zero_m_only</strong> (<em>bool</em>) – If True only calculate the polynomials for the polynomials where m=0.</p></li>
+<li><p><strong>pos_m_only</strong> (<em>bool</em>) – If True only calculate the polynomials for the polynomials where m&gt;=0.
+Overwritten by zero_m_only.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>polynomials</strong> – Contains the sympy functions of the polynomials
+(in total L many if zero_m_only is True else L^2 many).</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.basis_utils.real_sph_harm">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">real_sph_harm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">L_maxdegree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_theta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_phi</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.basis_utils.real_sph_harm" title="Link to this definition">#</a></dt>
+<dd><p>Computes formula strings of the the real part of the spherical harmonics
+up to degree L (excluded). Variables are either spherical coordinates phi
+and theta (or cartesian coordinates x,y,z) on the UNIT SPHERE.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>L_maxdegree</strong> (<em>int</em>) – Degree up to which to calculate the spherical harmonics
+(degree L is excluded).</p></li>
+<li><p><strong>use_theta</strong> (<em>bool</em>) – <ul>
+<li><p>True: Expects the input of the formula strings to contain theta.</p></li>
+<li><p>False: Expects the input of the formula strings to contain z.</p></li>
+</ul>
+</p></li>
+<li><p><strong>use_phi</strong> (<em>bool</em>) – <ul>
+<li><p>True: Expects the input of the formula strings to contain phi.</p></li>
+<li><p>False: Expects the input of the formula strings to contain x and y.</p></li>
+</ul>
+<p>Does nothing if zero_m_only is True</p>
+</p></li>
+<li><p><strong>zero_m_only</strong> (<em>bool</em>) – If True only calculate the harmonics where m=0.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>Y_lm_real</strong> – Computes formula strings of the the real part of the spherical
+harmonics up to degree L (where degree L is not excluded).
+In total L^2 many sph harm exist up to degree L (excluded).
+However, if zero_m_only only is True then the total count
+is reduced to L.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.basis_utils.get_sph_harm_basis">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.basis_utils.</span></span><span class="sig-name descname"><span class="pre">get_sph_harm_basis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">L_maxdegree</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_m_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.basis_utils.get_sph_harm_basis" title="Link to this definition">#</a></dt>
+<dd><p>Get a function calculating the spherical harmonics basis from z and phi.</p>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+        },
+        predefinedOutput: true
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+    <i class="fa-solid fa-list"></i> Contents
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.Jn"><code class="docutils literal notranslate"><span class="pre">Jn()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.Jn_zeros"><code class="docutils literal notranslate"><span class="pre">Jn_zeros()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.spherical_bessel_formulas"><code class="docutils literal notranslate"><span class="pre">spherical_bessel_formulas()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.bessel_basis"><code class="docutils literal notranslate"><span class="pre">bessel_basis()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.sph_harm_prefactor"><code class="docutils literal notranslate"><span class="pre">sph_harm_prefactor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.associated_legendre_polynomials"><code class="docutils literal notranslate"><span class="pre">associated_legendre_polynomials()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.real_sph_harm"><code class="docutils literal notranslate"><span class="pre">real_sph_harm()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.basis_utils.get_sph_harm_basis"><code class="docutils literal notranslate"><span class="pre">get_sph_harm_basis()</span></code></a></li>
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+    <h1>core.models.gemnet_oc.layers.efficient</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.weight"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.weight</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_radial"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.num_radial</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_spherical"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.num_spherical</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.reset_parameters"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_in"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size_in</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_interm"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size_interm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_out"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.bilinear"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.bilinear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.forward"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
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+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc.layers.efficient">
+<span id="core-models-gemnet-oc-layers-efficient"></span><h1>core.models.gemnet_oc.layers.efficient<a class="headerlink" href="#module-core.models.gemnet_oc.layers.efficient" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding" title="core.models.gemnet_oc.layers.efficient.BasisEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BasisEmbedding</span></code></a></p></td>
+<td><p>Embed a basis (CBF, SBF), optionally using the efficient reformulation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear" title="core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EfficientInteractionBilinear</span></code></a></p></td>
+<td><p>Efficient reformulation of the bilinear layer and subsequent summation.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.BasisEmbedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.efficient.</span></span><span class="sig-name descname"><span class="pre">BasisEmbedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_interm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Embed a basis (CBF, SBF), optionally using the efficient reformulation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Number of radial basis functions.</p></li>
+<li><p><strong>emb_size_interm</strong> (<em>int</em>) – Intermediate embedding size of triplets/quadruplets.</p></li>
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Number of circular/spherical basis functions.
+Only required if there is a circular/spherical basis.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.BasisEmbedding.weight">
+<span class="sig-name descname"><span class="pre">weight</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Parameter</span></em><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.weight" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_radial">
+<span class="sig-name descname"><span class="pre">num_radial</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_radial" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_spherical">
+<span class="sig-name descname"><span class="pre">num_spherical</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_spherical" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.BasisEmbedding.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.BasisEmbedding.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rad_basis</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sph_basis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_rad_outer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_rad_inner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_sph_outer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_sph_inner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>rad_basis</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_edges</em><em>, </em><em>num_radial</em><em> or </em><em>num_orders * num_radial</em><em>)</em>) – Raw radial basis.</p></li>
+<li><p><strong>sph_basis</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_triplets</em><em> or </em><em>num_quadruplets</em><em>, </em><em>num_spherical</em><em>)</em>) – Raw spherical or circular basis.</p></li>
+<li><p><strong>idx_rad_outer</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_edges</em><em>)</em>) – Atom associated with each radial basis value.
+Optional, used for efficient edge aggregation.</p></li>
+<li><p><strong>idx_rad_inner</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_edges</em><em>)</em>) – Enumerates radial basis values per atom.
+Optional, used for efficient edge aggregation.</p></li>
+<li><p><strong>idx_sph_outer</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_triplets</em><em> or </em><em>num_quadruplets</em><em>)</em>) – Edge associated with each circular/spherical basis value.
+Optional, used for efficient triplet/quadruplet aggregation.</p></li>
+<li><p><strong>idx_sph_inner</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_triplets</em><em> or </em><em>num_quadruplets</em><em>)</em>) – Enumerates circular/spherical basis values per edge.
+Optional, used for efficient triplet/quadruplet aggregation.</p></li>
+<li><p><strong>num_atoms</strong> (<em>int</em>) – Total number of atoms.
+Optional, used for efficient edge aggregation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>rad_W1</strong> (<em>torch.Tensor, shape=(num_edges, emb_size_interm, num_spherical)</em>)</p></li>
+<li><p><strong>sph</strong> (<em>torch.Tensor, shape=(num_edges, Kmax, num_spherical)</em>) – Kmax = maximum number of neighbors of the edges</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.efficient.</span></span><span class="sig-name descname"><span class="pre">EfficientInteractionBilinear</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_interm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Efficient reformulation of the bilinear layer and subsequent summation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_in</strong> (<em>int</em>) – Embedding size of input triplets/quadruplets.</p></li>
+<li><p><strong>emb_size_interm</strong> (<em>int</em>) – Intermediate embedding size of the basis transformation.</p></li>
+<li><p><strong>emb_size_out</strong> (<em>int</em>) – Embedding size of output triplets/quadruplets.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_in">
+<span class="sig-name descname"><span class="pre">emb_size_in</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_in" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_interm">
+<span class="sig-name descname"><span class="pre">emb_size_interm</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_interm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_out">
+<span class="sig-name descname"><span class="pre">emb_size_out</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_out" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.bilinear">
+<span class="sig-name descname"><span class="pre">bilinear</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.bilinear" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">basis</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_agg_outer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_agg_inner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_agg2_outer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_agg2_inner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">agg2_out_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>basis</strong> (<em>Tuple</em><em> (</em><em>torch.Tensor</em><em>, </em><em>torch.Tensor</em><em>)</em><em>,</em>) – <dl class="simple">
+<dt>shapes=((num_edges, emb_size_interm, num_spherical),</dt><dd><p>(num_edges, num_spherical, Kmax))</p>
+</dd>
+</dl>
+<p>First element: Radial basis multiplied with weight matrix
+Second element: Circular/spherical basis</p>
+</p></li>
+<li><p><strong>m</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_edges</em><em>, </em><em>emb_size_in</em><em>)</em>) – Input edge embeddings</p></li>
+<li><p><strong>idx_agg_outer</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_triplets</em><em> or </em><em>num_quadruplets</em><em>)</em>) – Output edge aggregating this intermediate triplet/quadruplet edge.</p></li>
+<li><p><strong>idx_agg_inner</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_triplets</em><em> or </em><em>num_quadruplets</em><em>)</em>) – Enumerates intermediate edges per output edge.</p></li>
+<li><p><strong>idx_agg2_outer</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_edges</em><em>)</em>) – Output atom aggregating this edge.</p></li>
+<li><p><strong>idx_agg2_inner</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>num_edges</em><em>)</em>) – Enumerates edges per output atom.</p></li>
+<li><p><strong>agg2_out_size</strong> (<em>int</em>) – Number of output embeddings when aggregating twice. Typically
+the number of atoms.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>m_ca</strong> – Aggregated edge/atom embeddings.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>torch.Tensor, shape=(num_edges, emb_size)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.weight"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.weight</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_radial"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.num_radial</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_spherical"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.num_spherical</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.reset_parameters"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.BasisEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">BasisEmbedding.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_in"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size_in</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_interm"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size_interm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_out"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.emb_size_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.bilinear"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.bilinear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.forward"><code class="docutils literal notranslate"><span class="pre">EfficientInteractionBilinear.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.gemnet_oc.layers.embedding_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.emb_size"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.embeddings"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.embeddings</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.dense"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.dense</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
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+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc.layers.embedding_block">
+<span id="core-models-gemnet-oc-layers-embedding-block"></span><h1>core.models.gemnet_oc.layers.embedding_block<a class="headerlink" href="#module-core.models.gemnet_oc.layers.embedding_block" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding" title="core.models.gemnet_oc.layers.embedding_block.AtomEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomEmbedding</span></code></a></p></td>
+<td><p>Initial atom embeddings based on the atom type</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding" title="core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EdgeEmbedding</span></code></a></p></td>
+<td><p>Edge embedding based on the concatenation of atom embeddings</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.embedding_block.AtomEmbedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.embedding_block.</span></span><span class="sig-name descname"><span class="pre">AtomEmbedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Initial atom embeddings based on the atom type</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>emb_size</strong> (<em>int</em>) – Atom embeddings size</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.emb_size">
+<span class="sig-name descname"><span class="pre">emb_size</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.emb_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.embeddings">
+<span class="sig-name descname"><span class="pre">embeddings</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.embeddings" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">Z</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>h</strong> – Atom embeddings.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nAtoms, emb_size)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.embedding_block.</span></span><span class="sig-name descname"><span class="pre">EdgeEmbedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atom_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Edge embedding based on the concatenation of atom embeddings
+and a subsequent dense layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atom_features</strong> (<em>int</em>) – Embedding size of the atom embedding.</p></li>
+<li><p><strong>edge_features</strong> (<em>int</em>) – Embedding size of the input edge embedding.</p></li>
+<li><p><strong>out_features</strong> (<em>int</em>) – Embedding size after the dense layer.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Activation function used in the dense layer.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.dense">
+<span class="sig-name descname"><span class="pre">dense</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.dense" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>h</strong> (<em>torch.Tensor</em><em>, </em><em>shape</em><em> (</em><em>num_atoms</em><em>, </em><em>atom_features</em><em>)</em>) – Atom embeddings.</p></li>
+<li><p><strong>m</strong> (<em>torch.Tensor</em><em>, </em><em>shape</em><em> (</em><em>num_edges</em><em>, </em><em>edge_features</em><em>)</em>) – Radial basis in embedding block,
+edge embedding in interaction block.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>m_st</strong> – Edge embeddings.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>torch.Tensor, shape=(nEdges, emb_size)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.emb_size"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.emb_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.embeddings"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.embeddings</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">AtomEmbedding.forward()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.dense"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.dense</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">EdgeEmbedding.forward()</span></code></a></li>
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+    <h1>core.models.gemnet_oc.layers.force_scaler</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler"><code class="docutils literal notranslate"><span class="pre">ForceScaler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale_factor"><code class="docutils literal notranslate"><span class="pre">ForceScaler.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_factor"><code class="docutils literal notranslate"><span class="pre">ForceScaler.growth_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.backoff_factor"><code class="docutils literal notranslate"><span class="pre">ForceScaler.backoff_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_interval"><code class="docutils literal notranslate"><span class="pre">ForceScaler.growth_interval</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.max_force_iters"><code class="docutils literal notranslate"><span class="pre">ForceScaler.max_force_iters</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.enabled"><code class="docutils literal notranslate"><span class="pre">ForceScaler.enabled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.finite_force_results"><code class="docutils literal notranslate"><span class="pre">ForceScaler.finite_force_results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale"><code class="docutils literal notranslate"><span class="pre">ForceScaler.scale()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.unscale"><code class="docutils literal notranslate"><span class="pre">ForceScaler.unscale()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces"><code class="docutils literal notranslate"><span class="pre">ForceScaler.calc_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces_and_update"><code class="docutils literal notranslate"><span class="pre">ForceScaler.calc_forces_and_update()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.update"><code class="docutils literal notranslate"><span class="pre">ForceScaler.update()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc.layers.force_scaler">
+<span id="core-models-gemnet-oc-layers-force-scaler"></span><h1>core.models.gemnet_oc.layers.force_scaler<a class="headerlink" href="#module-core.models.gemnet_oc.layers.force_scaler" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler" title="core.models.gemnet_oc.layers.force_scaler.ForceScaler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ForceScaler</span></code></a></p></td>
+<td><p>Scales up the energy and then scales down the forces</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.force_scaler.</span></span><span class="sig-name descname"><span class="pre">ForceScaler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">init_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0**8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">growth_factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">backoff_factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">growth_interval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_force_iters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enabled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler" title="Link to this definition">#</a></dt>
+<dd><p>Scales up the energy and then scales down the forces
+to prevent NaNs and infs in calculations using AMP.
+Inspired by torch.GradScaler(“cuda”, args…).</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_factor">
+<span class="sig-name descname"><span class="pre">growth_factor</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.backoff_factor">
+<span class="sig-name descname"><span class="pre">backoff_factor</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.backoff_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_interval">
+<span class="sig-name descname"><span class="pre">growth_interval</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_interval" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.max_force_iters">
+<span class="sig-name descname"><span class="pre">max_force_iters</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.max_force_iters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.enabled">
+<span class="sig-name descname"><span class="pre">enabled</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.enabled" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.finite_force_results">
+<span class="sig-name descname"><span class="pre">finite_force_results</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.finite_force_results" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale">
+<span class="sig-name descname"><span class="pre">scale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">energy</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.unscale">
+<span class="sig-name descname"><span class="pre">unscale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">forces</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.unscale" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces">
+<span class="sig-name descname"><span class="pre">calc_forces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">energy</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces_and_update">
+<span class="sig-name descname"><span class="pre">calc_forces_and_update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">energy</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces_and_update" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.force_scaler.ForceScaler.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.update" title="Link to this definition">#</a></dt>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler"><code class="docutils literal notranslate"><span class="pre">ForceScaler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale_factor"><code class="docutils literal notranslate"><span class="pre">ForceScaler.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_factor"><code class="docutils literal notranslate"><span class="pre">ForceScaler.growth_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.backoff_factor"><code class="docutils literal notranslate"><span class="pre">ForceScaler.backoff_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_interval"><code class="docutils literal notranslate"><span class="pre">ForceScaler.growth_interval</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.max_force_iters"><code class="docutils literal notranslate"><span class="pre">ForceScaler.max_force_iters</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.enabled"><code class="docutils literal notranslate"><span class="pre">ForceScaler.enabled</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.finite_force_results"><code class="docutils literal notranslate"><span class="pre">ForceScaler.finite_force_results</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale"><code class="docutils literal notranslate"><span class="pre">ForceScaler.scale()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.unscale"><code class="docutils literal notranslate"><span class="pre">ForceScaler.unscale()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces"><code class="docutils literal notranslate"><span class="pre">ForceScaler.calc_forces()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces_and_update"><code class="docutils literal notranslate"><span class="pre">ForceScaler.calc_forces_and_update()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.force_scaler.ForceScaler.update"><code class="docutils literal notranslate"><span class="pre">ForceScaler.update()</span></code></a></li>
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+    <h1>core.models.gemnet_oc.layers.interaction_block</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock"><code class="docutils literal notranslate"><span class="pre">InteractionBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.dense_ca"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.dense_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.trip_interaction"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.trip_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_before_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.layers_before_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_after_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.layers_after_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_emb_layers"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.atom_emb_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_update"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.atom_update</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.concat_layer"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.concat_layer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.residual_m"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.residual_m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_eint"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.inv_sqrt_num_eint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_aint"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.inv_sqrt_num_aint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.forward"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.symmetric_mp"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.symmetric_mp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.dense_db"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.dense_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_rbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.mlp_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_rbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.scale_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_cbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.mlp_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_cbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.scale_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_sbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.mlp_sbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_sbf_sum"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.scale_sbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.up_projection_ca"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.up_projection_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.forward"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction"><code class="docutils literal notranslate"><span class="pre">TripletInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.symmetric_mp"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.symmetric_mp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.swap_output"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.swap_output</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.dense_ba"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.dense_ba</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_cbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_cbf_sum"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_cbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.up_projection_ca"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.forward"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction"><code class="docutils literal notranslate"><span class="pre">PairInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.bilinear"><code class="docutils literal notranslate"><span class="pre">PairInteraction.bilinear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.scale_rbf_sum"><code class="docutils literal notranslate"><span class="pre">PairInteraction.scale_rbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">PairInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.up_projection"><code class="docutils literal notranslate"><span class="pre">PairInteraction.up_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">PairInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.forward"><code class="docutils literal notranslate"><span class="pre">PairInteraction.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc.layers.interaction_block">
+<span id="core-models-gemnet-oc-layers-interaction-block"></span><h1>core.models.gemnet_oc.layers.interaction_block<a class="headerlink" href="#module-core.models.gemnet_oc.layers.interaction_block" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock" title="core.models.gemnet_oc.layers.interaction_block.InteractionBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">InteractionBlock</span></code></a></p></td>
+<td><p>Interaction block for GemNet-Q/dQ.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction" title="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QuadrupletInteraction</span></code></a></p></td>
+<td><p>Quadruplet-based message passing block.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction" title="core.models.gemnet_oc.layers.interaction_block.TripletInteraction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TripletInteraction</span></code></a></p></td>
+<td><p>Triplet-based message passing block.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction" title="core.models.gemnet_oc.layers.interaction_block.PairInteraction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PairInteraction</span></code></a></p></td>
+<td><p>Pair-based message passing block.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.interaction_block.</span></span><span class="sig-name descname"><span class="pre">InteractionBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_a2a_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_a2a_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_sbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_before_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_after_skip</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_concat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atom_emb_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quad_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_edge_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_atom_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_interaction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Interaction block for GemNet-Q/dQ.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_trip_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_trip_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_quad_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_quad_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_a2a_in</strong> (<em>int</em>) – Embedding size in the atom interaction before the bilinear layer.</p></li>
+<li><p><strong>emb_size_a2a_out</strong> (<em>int</em>) – Embedding size in the atom interaction after the bilinear layer.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_sbf</strong> (<em>int</em>) – Embedding size of the spherical basis transformation (two angles).</p></li>
+<li><p><strong>num_before_skip</strong> (<em>int</em>) – Number of residual blocks before the first skip connection.</p></li>
+<li><p><strong>num_after_skip</strong> (<em>int</em>) – Number of residual blocks after the first skip connection.</p></li>
+<li><p><strong>num_concat</strong> (<em>int</em>) – Number of residual blocks after the concatenation.</p></li>
+<li><p><strong>num_atom</strong> (<em>int</em>) – Number of residual blocks in the atom embedding blocks.</p></li>
+<li><p><strong>num_atom_emb_layers</strong> (<em>int</em>) – Number of residual blocks for transforming atom embeddings.</p></li>
+<li><p><strong>quad_interaction</strong> (<em>bool</em>) – Whether to use quadruplet interactions.</p></li>
+<li><p><strong>atom_edge_interaction</strong> (<em>bool</em>) – Whether to use atom-to-edge interactions.</p></li>
+<li><p><strong>edge_atom_interaction</strong> (<em>bool</em>) – Whether to use edge-to-atom interactions.</p></li>
+<li><p><strong>atom_interaction</strong> (<em>bool</em>) – Whether to use atom-to-atom interactions.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.dense_ca">
+<span class="sig-name descname"><span class="pre">dense_ca</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.dense_ca" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.trip_interaction">
+<span class="sig-name descname"><span class="pre">trip_interaction</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.trip_interaction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_before_skip">
+<span class="sig-name descname"><span class="pre">layers_before_skip</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_before_skip" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_after_skip">
+<span class="sig-name descname"><span class="pre">layers_after_skip</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_after_skip" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_emb_layers">
+<span class="sig-name descname"><span class="pre">atom_emb_layers</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_emb_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_update">
+<span class="sig-name descname"><span class="pre">atom_update</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_update" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.concat_layer">
+<span class="sig-name descname"><span class="pre">concat_layer</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.concat_layer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.residual_m">
+<span class="sig-name descname"><span class="pre">residual_m</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.residual_m" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_eint">
+<span class="sig-name descname"><span class="pre">inv_sqrt_num_eint</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_eint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_aint">
+<span class="sig-name descname"><span class="pre">inv_sqrt_num_aint</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_aint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.InteractionBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases_qint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases_e2e</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases_a2e</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases_e2a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_a2a_rad</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_atom_update</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index_main</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2ee2a_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2a_graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_swap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trip_idx_e2e</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trip_idx_a2e</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trip_idx_e2a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quad_idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>h</strong> (<em>torch.Tensor, shape=(nEdges, emb_size_atom)</em>) – Atom embeddings.</p></li>
+<li><p><strong>m</strong> (<em>torch.Tensor, shape=(nEdges, emb_size_edge)</em>) – Edge embeddings (c-&gt;a).</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.interaction_block.</span></span><span class="sig-name descname"><span class="pre">QuadrupletInteraction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_edge</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_in</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_quad_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_sbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">symmetric_mp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Quadruplet-based message passing block.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_edge</strong> (<em>int</em>) – Embedding size of the edges.</p></li>
+<li><p><strong>emb_size_quad_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_quad_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>emb_size_sbf</strong> (<em>int</em>) – Embedding size of the spherical basis transformation (two angles).</p></li>
+<li><p><strong>symmetric_mp</strong> (<em>bool</em>) – Whether to use symmetric message passing and
+update the edges in both directions.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.symmetric_mp">
+<span class="sig-name descname"><span class="pre">symmetric_mp</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.symmetric_mp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.dense_db">
+<span class="sig-name descname"><span class="pre">dense_db</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.dense_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_rbf">
+<span class="sig-name descname"><span class="pre">mlp_rbf</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_rbf">
+<span class="sig-name descname"><span class="pre">scale_rbf</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_cbf">
+<span class="sig-name descname"><span class="pre">mlp_cbf</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_cbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_cbf">
+<span class="sig-name descname"><span class="pre">scale_cbf</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_cbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_sbf">
+<span class="sig-name descname"><span class="pre">mlp_sbf</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_sbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_sbf_sum">
+<span class="sig-name descname"><span class="pre">scale_sbf_sum</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_sbf_sum" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.down_projection">
+<span class="sig-name descname"><span class="pre">down_projection</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.down_projection" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.up_projection_ca">
+<span class="sig-name descname"><span class="pre">up_projection_ca</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.up_projection_ca" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_swap</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>m</strong> – Edge embeddings (c-&gt;a).</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nEdges, emb_size_edge)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.interaction_block.</span></span><span class="sig-name descname"><span class="pre">TripletInteraction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_trip_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">symmetric_mp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">swap_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Triplet-based message passing block.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_in</strong> (<em>int</em>) – Embedding size of the input embeddings.</p></li>
+<li><p><strong>emb_size_out</strong> (<em>int</em>) – Embedding size of the output embeddings.</p></li>
+<li><p><strong>emb_size_trip_in</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+before the bilinear layer.</p></li>
+<li><p><strong>emb_size_trip_out</strong> (<em>int</em>) – (Down-projected) embedding size of the quadruplet edge embeddings
+after the bilinear layer.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>emb_size_cbf</strong> (<em>int</em>) – Embedding size of the circular basis transformation (one angle).</p></li>
+<li><p><strong>symmetric_mp</strong> (<em>bool</em>) – Whether to use symmetric message passing and
+update the edges in both directions.</p></li>
+<li><p><strong>swap_output</strong> (<em>bool</em>) – Whether to swap the output embedding directions.
+Only relevant if symmetric_mp is False.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.symmetric_mp">
+<span class="sig-name descname"><span class="pre">symmetric_mp</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.symmetric_mp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.swap_output">
+<span class="sig-name descname"><span class="pre">swap_output</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.swap_output" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.dense_ba">
+<span class="sig-name descname"><span class="pre">dense_ba</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.dense_ba" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_rbf">
+<span class="sig-name descname"><span class="pre">mlp_rbf</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_rbf">
+<span class="sig-name descname"><span class="pre">scale_rbf</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_cbf">
+<span class="sig-name descname"><span class="pre">mlp_cbf</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_cbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_cbf_sum">
+<span class="sig-name descname"><span class="pre">scale_cbf_sum</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_cbf_sum" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.down_projection">
+<span class="sig-name descname"><span class="pre">down_projection</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.down_projection" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.up_projection_ca">
+<span class="sig-name descname"><span class="pre">up_projection_ca</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.up_projection_ca" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.TripletInteraction.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_swap</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">expand_idx</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_agg2</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">idx_agg2_inner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">agg2_out_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>m</strong> – Edge embeddings.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(nEdges, emb_size_edge)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.PairInteraction">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.interaction_block.</span></span><span class="sig-name descname"><span class="pre">PairInteraction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emb_size_atom</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_pair_in</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_pair_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb_size_rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Pair-based message passing block.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>emb_size_atom</strong> (<em>int</em>) – Embedding size of the atoms.</p></li>
+<li><p><strong>emb_size_pair_in</strong> (<em>int</em>) – Embedding size of the atom pairs before the bilinear layer.</p></li>
+<li><p><strong>emb_size_pair_out</strong> (<em>int</em>) – Embedding size of the atom pairs after the bilinear layer.</p></li>
+<li><p><strong>emb_size_rbf</strong> (<em>int</em>) – Embedding size of the radial basis transformation.</p></li>
+<li><p><strong>activation</strong> (<em>str</em>) – Name of the activation function to use in the dense layers.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.PairInteraction.bilinear">
+<span class="sig-name descname"><span class="pre">bilinear</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.bilinear" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.PairInteraction.scale_rbf_sum">
+<span class="sig-name descname"><span class="pre">scale_rbf_sum</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.scale_rbf_sum" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.PairInteraction.down_projection">
+<span class="sig-name descname"><span class="pre">down_projection</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.down_projection" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.PairInteraction.up_projection">
+<span class="sig-name descname"><span class="pre">up_projection</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.up_projection" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.PairInteraction.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.interaction_block.PairInteraction.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rad_basis</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_neighbor_idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.forward" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>h</strong> – Atom embeddings.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>torch.Tensor, shape=(num_atoms, emb_size_atom)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock"><code class="docutils literal notranslate"><span class="pre">InteractionBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.dense_ca"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.dense_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.trip_interaction"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.trip_interaction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_before_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.layers_before_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_after_skip"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.layers_after_skip</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_emb_layers"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.atom_emb_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_update"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.atom_update</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.concat_layer"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.concat_layer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.residual_m"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.residual_m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_eint"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.inv_sqrt_num_eint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_aint"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.inv_sqrt_num_aint</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.forward"><code class="docutils literal notranslate"><span class="pre">InteractionBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.symmetric_mp"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.symmetric_mp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.dense_db"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.dense_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_rbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.mlp_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_rbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.scale_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_cbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.mlp_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_cbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.scale_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_sbf"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.mlp_sbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_sbf_sum"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.scale_sbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.up_projection_ca"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.up_projection_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.forward"><code class="docutils literal notranslate"><span class="pre">QuadrupletInteraction.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction"><code class="docutils literal notranslate"><span class="pre">TripletInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.symmetric_mp"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.symmetric_mp</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.swap_output"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.swap_output</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.dense_ba"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.dense_ba</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_rbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_cbf"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.mlp_cbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_cbf_sum"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.scale_cbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.up_projection_ca"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.up_projection_ca</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.forward"><code class="docutils literal notranslate"><span class="pre">TripletInteraction.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction"><code class="docutils literal notranslate"><span class="pre">PairInteraction</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.bilinear"><code class="docutils literal notranslate"><span class="pre">PairInteraction.bilinear</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.scale_rbf_sum"><code class="docutils literal notranslate"><span class="pre">PairInteraction.scale_rbf_sum</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.down_projection"><code class="docutils literal notranslate"><span class="pre">PairInteraction.down_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.up_projection"><code class="docutils literal notranslate"><span class="pre">PairInteraction.up_projection</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">PairInteraction.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.interaction_block.PairInteraction.forward"><code class="docutils literal notranslate"><span class="pre">PairInteraction.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.gemnet_oc.layers.radial_basis</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.p"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.p</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.a"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.a</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.b"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.b</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.c"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.c</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis"><code class="docutils literal notranslate"><span class="pre">GaussianBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis.coeff"><code class="docutils literal notranslate"><span class="pre">GaussianBasis.coeff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis.forward"><code class="docutils literal notranslate"><span class="pre">GaussianBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.norm_const"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.norm_const</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.frequencies"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.frequencies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.forward"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.pregamma"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.pregamma</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.softplus"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.softplus</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.forward"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis"><code class="docutils literal notranslate"><span class="pre">RadialBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis.inv_cutoff"><code class="docutils literal notranslate"><span class="pre">RadialBasis.inv_cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis.scale_basis"><code class="docutils literal notranslate"><span class="pre">RadialBasis.scale_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis.forward"><code class="docutils literal notranslate"><span class="pre">RadialBasis.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.gemnet_oc.layers.radial_basis">
+<span id="core-models-gemnet-oc-layers-radial-basis"></span><h1>core.models.gemnet_oc.layers.radial_basis<a class="headerlink" href="#module-core.models.gemnet_oc.layers.radial_basis" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope" title="core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PolynomialEnvelope</span></code></a></p></td>
+<td><p>Polynomial envelope function that ensures a smooth cutoff.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope" title="core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExponentialEnvelope</span></code></a></p></td>
+<td><p>Exponential envelope function that ensures a smooth cutoff,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis" title="core.models.gemnet_oc.layers.radial_basis.GaussianBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GaussianBasis</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis" title="core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SphericalBesselBasis</span></code></a></p></td>
+<td><p>First-order spherical Bessel basis</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis" title="core.models.gemnet_oc.layers.radial_basis.BernsteinBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BernsteinBasis</span></code></a></p></td>
+<td><p>Bernstein polynomial basis,</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis" title="core.models.gemnet_oc.layers.radial_basis.RadialBasis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RadialBasis</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">PolynomialEnvelope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">exponent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Polynomial envelope function that ensures a smooth cutoff.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>exponent</strong> (<em>int</em>) – Exponent of the envelope function.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.p">
+<span class="sig-name descname"><span class="pre">p</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.p" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.a">
+<span class="sig-name descname"><span class="pre">a</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.a" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.b">
+<span class="sig-name descname"><span class="pre">b</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.b" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.c">
+<span class="sig-name descname"><span class="pre">c</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.c" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">ExponentialEnvelope</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Exponential envelope function that ensures a smooth cutoff,
+as proposed in Unke, Chmiela, Gastegger, Schütt, Sauceda, Müller 2021.
+SpookyNet: Learning Force Fields with Electronic Degrees of Freedom
+and Nonlocal Effects</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.GaussianBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">GaussianBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_gaussians</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainable</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.GaussianBasis.coeff">
+<span class="sig-name descname"><span class="pre">coeff</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis.coeff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.GaussianBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dist</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">SphericalBesselBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>First-order spherical Bessel basis</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Number of basis functions. Controls the maximum frequency.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Cutoff distance in Angstrom.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.norm_const">
+<span class="sig-name descname"><span class="pre">norm_const</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.norm_const" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.frequencies">
+<span class="sig-name descname"><span class="pre">frequencies</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.frequencies" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.BernsteinBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">BernsteinBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pregamma_initial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.45264</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Bernstein polynomial basis,
+as proposed in Unke, Chmiela, Gastegger, Schütt, Sauceda, Müller 2021.
+SpookyNet: Learning Force Fields with Electronic Degrees of Freedom
+and Nonlocal Effects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Number of basis functions. Controls the maximum frequency.</p></li>
+<li><p><strong>pregamma_initial</strong> (<em>float</em>) – Initial value of exponential coefficient gamma.
+Default: gamma = 0.5 * a_0**-1 = 0.94486,
+inverse softplus -&gt; pregamma = log e**gamma - 1 = 0.45264</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.pregamma">
+<span class="sig-name descname"><span class="pre">pregamma</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.pregamma" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.softplus">
+<span class="sig-name descname"><span class="pre">softplus</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.softplus" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d_scaled</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.RadialBasis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.radial_basis.</span></span><span class="sig-name descname"><span class="pre">RadialBasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_radial</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_radial</strong> (<em>int</em>) – Number of basis functions. Controls the maximum frequency.</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Cutoff distance in Angstrom.</p></li>
+<li><p><strong>rbf</strong> (<em>dict = {&quot;name&quot;: &quot;gaussian&quot;}</em>) – Basis function and its hyperparameters.</p></li>
+<li><p><strong>envelope</strong> (<em>dict = {&quot;name&quot;: &quot;polynomial&quot;</em><em>, </em><em>&quot;exponent&quot;: 5}</em>) – Envelope function and its hyperparameters.</p></li>
+<li><p><strong>scale_basis</strong> (<em>bool</em>) – Whether to scale the basis values for better numerical stability.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.RadialBasis.inv_cutoff">
+<span class="sig-name descname"><span class="pre">inv_cutoff</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis.inv_cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.RadialBasis.scale_basis">
+<span class="sig-name descname"><span class="pre">scale_basis</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis.scale_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.radial_basis.RadialBasis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            name: "python3",
+            path: "./autoapi/core/models/gemnet_oc/layers/radial_basis"
+        },
+        predefinedOutput: true
+    }
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+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.p"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.p</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.a"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.a</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.b"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.b</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.c"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.c</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">PolynomialEnvelope.forward()</span></code></a></li>
+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope.forward"><code class="docutils literal notranslate"><span class="pre">ExponentialEnvelope.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis"><code class="docutils literal notranslate"><span class="pre">GaussianBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis.coeff"><code class="docutils literal notranslate"><span class="pre">GaussianBasis.coeff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.GaussianBasis.forward"><code class="docutils literal notranslate"><span class="pre">GaussianBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.norm_const"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.norm_const</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.frequencies"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.frequencies</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.forward"><code class="docutils literal notranslate"><span class="pre">SphericalBesselBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.pregamma"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.pregamma</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.softplus"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.softplus</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.forward"><code class="docutils literal notranslate"><span class="pre">BernsteinBasis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis"><code class="docutils literal notranslate"><span class="pre">RadialBasis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis.inv_cutoff"><code class="docutils literal notranslate"><span class="pre">RadialBasis.inv_cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis.scale_basis"><code class="docutils literal notranslate"><span class="pre">RadialBasis.scale_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.radial_basis.RadialBasis.forward"><code class="docutils literal notranslate"><span class="pre">RadialBasis.forward()</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.radial_basis"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.scale_basis"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.scale_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.forward"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.num_spherical"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer.num_spherical</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.radial_basis"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.scale_basis"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer.scale_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.forward"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer.forward()</span></code></a></li>
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+  <section id="module-core.models.gemnet_oc.layers.spherical_basis">
+<span id="core-models-gemnet-oc-layers-spherical-basis"></span><h1>core.models.gemnet_oc.layers.spherical_basis<a class="headerlink" href="#module-core.models.gemnet_oc.layers.spherical_basis" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer" title="core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CircularBasisLayer</span></code></a></p></td>
+<td><p>2D Fourier Bessel Basis</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer" title="core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SphericalBasisLayer</span></code></a></p></td>
+<td><p>3D Fourier Bessel Basis</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.spherical_basis.</span></span><span class="sig-name descname"><span class="pre">CircularBasisLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radial_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.RadialBasis" title="core.models.gemnet_oc.layers.radial_basis.RadialBasis"><span class="pre">core.models.gemnet_oc.layers.radial_basis.RadialBasis</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>2D Fourier Bessel Basis</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Number of basis functions. Controls the maximum frequency.</p></li>
+<li><p><strong>radial_basis</strong> (<a class="reference internal" href="../../../gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.RadialBasis" title="core.models.gemnet.layers.radial_basis.RadialBasis"><em>RadialBasis</em></a>) – Radial basis function.</p></li>
+<li><p><strong>cbf</strong> (<em>dict</em>) – Name and hyperparameters of the circular basis function.</p></li>
+<li><p><strong>scale_basis</strong> (<em>bool</em>) – Whether to scale the basis values for better numerical stability.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.scale_basis">
+<span class="sig-name descname"><span class="pre">scale_basis</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.scale_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">D_ca</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cosφ_cab</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.layers.spherical_basis.</span></span><span class="sig-name descname"><span class="pre">SphericalBasisLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_spherical</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radial_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.RadialBasis" title="core.models.gemnet_oc.layers.radial_basis.RadialBasis"><span class="pre">core.models.gemnet_oc.layers.radial_basis.RadialBasis</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>3D Fourier Bessel Basis</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_spherical</strong> (<em>int</em>) – Number of basis functions. Controls the maximum frequency.</p></li>
+<li><p><strong>radial_basis</strong> (<a class="reference internal" href="../../../gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.RadialBasis" title="core.models.gemnet.layers.radial_basis.RadialBasis"><em>RadialBasis</em></a>) – Radial basis functions.</p></li>
+<li><p><strong>sbf</strong> (<em>dict</em>) – Name and hyperparameters of the spherical basis function.</p></li>
+<li><p><strong>scale_basis</strong> (<em>bool</em>) – Whether to scale the basis values for better numerical stability.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.num_spherical">
+<span class="sig-name descname"><span class="pre">num_spherical</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.num_spherical" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.scale_basis">
+<span class="sig-name descname"><span class="pre">scale_basis</span></span><a class="headerlink" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.scale_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">D_ca</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cosφ_cab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">θ_cabd</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.radial_basis"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.scale_basis"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.scale_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.forward"><code class="docutils literal notranslate"><span class="pre">CircularBasisLayer.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.num_spherical"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer.num_spherical</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.radial_basis"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.scale_basis"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer.scale_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.forward"><code class="docutils literal notranslate"><span class="pre">SphericalBasisLayer.forward()</span></code></a></li>
+</ul>
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+    <h1>core.models.gemnet_oc.utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.ragged_range"><code class="docutils literal notranslate"><span class="pre">ragged_range()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.repeat_blocks"><code class="docutils literal notranslate"><span class="pre">repeat_blocks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.masked_select_sparsetensor_flat"><code class="docutils literal notranslate"><span class="pre">masked_select_sparsetensor_flat()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.calculate_interatomic_vectors"><code class="docutils literal notranslate"><span class="pre">calculate_interatomic_vectors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.inner_product_clamped"><code class="docutils literal notranslate"><span class="pre">inner_product_clamped()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_angle"><code class="docutils literal notranslate"><span class="pre">get_angle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.vector_rejection"><code class="docutils literal notranslate"><span class="pre">vector_rejection()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_projected_angle"><code class="docutils literal notranslate"><span class="pre">get_projected_angle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.mask_neighbors"><code class="docutils literal notranslate"><span class="pre">mask_neighbors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_neighbor_order"><code class="docutils literal notranslate"><span class="pre">get_neighbor_order()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_inner_idx"><code class="docutils literal notranslate"><span class="pre">get_inner_idx()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_edge_id"><code class="docutils literal notranslate"><span class="pre">get_edge_id()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+                  
+  <section id="module-core.models.gemnet_oc.utils">
+<span id="core-models-gemnet-oc-utils"></span><h1>core.models.gemnet_oc.utils<a class="headerlink" href="#module-core.models.gemnet_oc.utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.
+This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.ragged_range" title="core.models.gemnet_oc.utils.ragged_range"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ragged_range</span></code></a>(sizes)</p></td>
+<td><p>Multiple concatenated ranges.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.repeat_blocks" title="core.models.gemnet_oc.utils.repeat_blocks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">repeat_blocks</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Repeat blocks of indices.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.masked_select_sparsetensor_flat" title="core.models.gemnet_oc.utils.masked_select_sparsetensor_flat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">masked_select_sparsetensor_flat</span></code></a>(...)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.calculate_interatomic_vectors" title="core.models.gemnet_oc.utils.calculate_interatomic_vectors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calculate_interatomic_vectors</span></code></a>(R, id_s, id_t, offsets_st)</p></td>
+<td><p>Calculate the vectors connecting the given atom pairs,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.inner_product_clamped" title="core.models.gemnet_oc.utils.inner_product_clamped"><code class="xref py py-obj docutils literal notranslate"><span class="pre">inner_product_clamped</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Calculate the inner product between the given normalized vectors,</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.get_angle" title="core.models.gemnet_oc.utils.get_angle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_angle</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Calculate angles between atoms c -&gt; a &lt;- b.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.vector_rejection" title="core.models.gemnet_oc.utils.vector_rejection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">vector_rejection</span></code></a>(R_ab, P_n)</p></td>
+<td><p>Project the vector R_ab onto a plane with normal vector P_n.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.get_projected_angle" title="core.models.gemnet_oc.utils.get_projected_angle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_projected_angle</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Project the vector R_ab onto a plane with normal vector P_n,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.mask_neighbors" title="core.models.gemnet_oc.utils.mask_neighbors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mask_neighbors</span></code></a>(neighbors, edge_mask)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.get_neighbor_order" title="core.models.gemnet_oc.utils.get_neighbor_order"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_neighbor_order</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Give a mask that filters out edges so that each atom has at most</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.get_inner_idx" title="core.models.gemnet_oc.utils.get_inner_idx"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_inner_idx</span></code></a>(idx, dim_size)</p></td>
+<td><p>Assign an inner index to each element (neighbor) with the same index.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.gemnet_oc.utils.get_edge_id" title="core.models.gemnet_oc.utils.get_edge_id"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_edge_id</span></code></a>(edge_idx, cell_offsets, num_atoms)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.ragged_range">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">ragged_range</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sizes</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.utils.ragged_range" title="Link to this definition">#</a></dt>
+<dd><p>Multiple concatenated ranges.</p>
+<p class="rubric">Examples</p>
+<p>sizes = [1 4 2 3]
+Return: [0  0 1 2 3  0 1  0 1 2]</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.repeat_blocks">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">repeat_blocks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sizes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repeats</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">continuous_indexing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">block_inc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repeat_inc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.utils.repeat_blocks" title="Link to this definition">#</a></dt>
+<dd><p>Repeat blocks of indices.
+Adapted from <a class="reference external" href="https://stackoverflow.com/questions/51154989/numpy-vectorized-function-to-repeat-blocks-of-consecutive-elements">https://stackoverflow.com/questions/51154989/numpy-vectorized-function-to-repeat-blocks-of-consecutive-elements</a></p>
+<p>continuous_indexing: Whether to keep increasing the index after each block
+start_idx: Starting index
+block_inc: Number to increment by after each block,</p>
+<blockquote>
+<div><p>either global or per block. Shape: len(sizes) - 1</p>
+</div></blockquote>
+<dl class="simple">
+<dt>repeat_inc: Number to increment by after each repetition,</dt><dd><p>either global or per block</p>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<p>sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = False
+Return: [0 0 0  0 1 2 0 1 2  0 1 0 1 0 1]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True
+Return: [0 0 0  1 2 3 1 2 3  4 5 4 5 4 5]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+repeat_inc = 4
+Return: [0 4 8  1 2 3 5 6 7  4 5 8 9 12 13]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+start_idx = 5
+Return: [5 5 5  6 7 8 6 7 8  9 10 9 10 9 10]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+block_inc = 1
+Return: [0 0 0  2 3 4 2 3 4  6 7 6 7 6 7]
+sizes = [0,3,2] ; repeats = [3,2,3] ; continuous_indexing = True
+Return: [0 1 2 0 1 2  3 4 3 4 3 4]
+sizes = [2,3,2] ; repeats = [2,0,2] ; continuous_indexing = True
+Return: [0 1 0 1  5 6 5 6]</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.masked_select_sparsetensor_flat">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">masked_select_sparsetensor_flat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">src</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch_sparse.SparseTensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.utils.masked_select_sparsetensor_flat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.calculate_interatomic_vectors">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">calculate_interatomic_vectors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">R</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_s</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">id_t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offsets_st</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.utils.calculate_interatomic_vectors" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the vectors connecting the given atom pairs,
+considering offsets from periodic boundary conditions (PBC).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>R</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nAtoms</em><em>, </em><em>3</em><em>)</em>) – Atom positions.</p></li>
+<li><p><strong>id_s</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nEdges</em><em>,</em><em>)</em>) – Indices of the source atom of the edges.</p></li>
+<li><p><strong>id_t</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nEdges</em><em>,</em><em>)</em>) – Indices of the target atom of the edges.</p></li>
+<li><p><strong>offsets_st</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>nEdges</em><em>,</em><em>)</em>) – PBC offsets of the edges.
+Subtract this from the correct direction.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><p><strong>(D_st, V_st)</strong> –</p>
+<dl class="simple">
+<dt>D_st: Tensor, shape = (nEdges,)</dt><dd><p>Distance from atom t to s.</p>
+</dd>
+<dt>V_st: Tensor, shape = (nEdges,)</dt><dd><p>Unit direction from atom t to s.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>tuple</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.inner_product_clamped">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">inner_product_clamped</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.utils.inner_product_clamped" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the inner product between the given normalized vectors,
+giving a result between -1 and 1.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.get_angle">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">get_angle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">R_ac</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">R_ab</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.utils.get_angle" title="Link to this definition">#</a></dt>
+<dd><p>Calculate angles between atoms c -&gt; a &lt;- b.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>R_ac</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>N</em><em>, </em><em>3</em><em>)</em>) – Vector from atom a to c.</p></li>
+<li><p><strong>R_ab</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>N</em><em>, </em><em>3</em><em>)</em>) – Vector from atom a to b.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>angle_cab</strong> – Angle between atoms c &lt;- a -&gt; b.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Tensor, shape = (N,)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.vector_rejection">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">vector_rejection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">R_ab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">P_n</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.utils.vector_rejection" title="Link to this definition">#</a></dt>
+<dd><p>Project the vector R_ab onto a plane with normal vector P_n.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>R_ab</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>N</em><em>, </em><em>3</em><em>)</em>) – Vector from atom a to b.</p></li>
+<li><p><strong>P_n</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>N</em><em>, </em><em>3</em><em>)</em>) – Normal vector of a plane onto which to project R_ab.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>R_ab_proj</strong> – Projected vector (orthogonal to P_n).</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Tensor, shape = (N, 3)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.get_projected_angle">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">get_projected_angle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">R_ab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">P_n</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.utils.get_projected_angle" title="Link to this definition">#</a></dt>
+<dd><p>Project the vector R_ab onto a plane with normal vector P_n,
+then calculate the angle w.r.t. the (x [cross] P_n),
+or (y [cross] P_n) if the former would be ill-defined/numerically unstable.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>R_ab</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>N</em><em>, </em><em>3</em><em>)</em>) – Vector from atom a to b.</p></li>
+<li><p><strong>P_n</strong> (<em>Tensor</em><em>, </em><em>shape =</em><em> (</em><em>N</em><em>, </em><em>3</em><em>)</em>) – Normal vector of a plane onto which to project R_ab.</p></li>
+<li><p><strong>eps</strong> (<em>float</em>) – Norm of projection below which to use the y-axis instead of x.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>angle_ab</strong> – Angle on plane w.r.t. x- or y-axis.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Tensor, shape = (N)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.mask_neighbors">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">mask_neighbors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.utils.mask_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.get_neighbor_order">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">get_neighbor_order</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atom_distance</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.gemnet_oc.utils.get_neighbor_order" title="Link to this definition">#</a></dt>
+<dd><p>Give a mask that filters out edges so that each atom has at most
+<cite>max_num_neighbors_threshold</cite> neighbors.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.get_inner_idx">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">get_inner_idx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim_size</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.utils.get_inner_idx" title="Link to this definition">#</a></dt>
+<dd><p>Assign an inner index to each element (neighbor) with the same index.
+For example, with idx=[0 0 0 1 1 1 1 2 2] this returns [0 1 2 0 1 2 3 0 1].
+These indices allow reshape neighbor indices into a dense matrix.
+idx has to be sorted for this to work.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.gemnet_oc.utils.get_edge_id">
+<span class="sig-prename descclassname"><span class="pre">core.models.gemnet_oc.utils.</span></span><span class="sig-name descname"><span class="pre">get_edge_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.gemnet_oc.utils.get_edge_id" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.ragged_range"><code class="docutils literal notranslate"><span class="pre">ragged_range()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.repeat_blocks"><code class="docutils literal notranslate"><span class="pre">repeat_blocks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.masked_select_sparsetensor_flat"><code class="docutils literal notranslate"><span class="pre">masked_select_sparsetensor_flat()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.calculate_interatomic_vectors"><code class="docutils literal notranslate"><span class="pre">calculate_interatomic_vectors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.inner_product_clamped"><code class="docutils literal notranslate"><span class="pre">inner_product_clamped()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_angle"><code class="docutils literal notranslate"><span class="pre">get_angle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.vector_rejection"><code class="docutils literal notranslate"><span class="pre">vector_rejection()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_projected_angle"><code class="docutils literal notranslate"><span class="pre">get_projected_angle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.mask_neighbors"><code class="docutils literal notranslate"><span class="pre">mask_neighbors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_neighbor_order"><code class="docutils literal notranslate"><span class="pre">get_neighbor_order()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_inner_idx"><code class="docutils literal notranslate"><span class="pre">get_inner_idx()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.gemnet_oc.utils.get_edge_id"><code class="docutils literal notranslate"><span class="pre">get_edge_id()</span></code></a></li>
+</ul>
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+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.available_pretrained_models"><code class="docutils literal notranslate"><span class="pre">available_pretrained_models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.model_name_to_local_file"><code class="docutils literal notranslate"><span class="pre">model_name_to_local_file()</span></code></a></li>
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+  <section id="module-core.models">
+<span id="core-models"></span><h1>core.models<a class="headerlink" href="#module-core.models" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="base/index.html">core.models.base</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="escn/index.html">core.models.escn</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="gemnet_oc/index.html">core.models.gemnet_oc</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_registry/index.html">core.models.model_registry</a></li>
+<li class="toctree-l1"><a class="reference internal" href="painn/index.html">core.models.painn</a></li>
+<li class="toctree-l1"><a class="reference internal" href="schnet/index.html">core.models.schnet</a></li>
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+</ul>
+</div>
+</section>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.available_pretrained_models" title="core.models.available_pretrained_models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">available_pretrained_models</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.model_name_to_local_file" title="core.models.model_name_to_local_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_name_to_local_file</span></code></a>(→ str)</p></td>
+<td><p>Download a pretrained checkpoint if it does not exist already</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.available_pretrained_models">
+<span class="sig-prename descclassname"><span class="pre">core.models.</span></span><span class="sig-name descname"><span class="pre">available_pretrained_models</span></span><a class="headerlink" href="#core.models.available_pretrained_models" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.model_name_to_local_file">
+<span class="sig-prename descclassname"><span class="pre">core.models.</span></span><span class="sig-name descname"><span class="pre">model_name_to_local_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.model_name_to_local_file" title="Link to this definition">#</a></dt>
+<dd><p>Download a pretrained checkpoint if it does not exist already</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_name</strong> (<em>str</em>) – the model name. See available_pretrained_checkpoints.</p></li>
+<li><p><strong>local_cache</strong> (<em>str</em><em> or </em><em>Path</em>) – path to local cache directory</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>local path to checkpoint file</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+    <h1>core.models.model_registry</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.model_registry.MODEL_REGISTRY"><code class="docutils literal notranslate"><span class="pre">MODEL_REGISTRY</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.model_registry.available_pretrained_models"><code class="docutils literal notranslate"><span class="pre">available_pretrained_models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.model_registry.model_name_to_local_file"><code class="docutils literal notranslate"><span class="pre">model_name_to_local_file()</span></code></a></li>
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+                  
+  <section id="module-core.models.model_registry">
+<span id="core-models-model-registry"></span><h1>core.models.model_registry<a class="headerlink" href="#module-core.models.model_registry" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.model_registry.MODEL_REGISTRY" title="core.models.model_registry.MODEL_REGISTRY"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MODEL_REGISTRY</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.model_registry.available_pretrained_models" title="core.models.model_registry.available_pretrained_models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">available_pretrained_models</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.model_registry.model_name_to_local_file" title="core.models.model_registry.model_name_to_local_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_name_to_local_file</span></code></a>(→ str)</p></td>
+<td><p>Download a pretrained checkpoint if it does not exist already</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.model_registry.MODEL_REGISTRY">
+<span class="sig-prename descclassname"><span class="pre">core.models.model_registry.</span></span><span class="sig-name descname"><span class="pre">MODEL_REGISTRY</span></span><a class="headerlink" href="#core.models.model_registry.MODEL_REGISTRY" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.model_registry.available_pretrained_models">
+<span class="sig-prename descclassname"><span class="pre">core.models.model_registry.</span></span><span class="sig-name descname"><span class="pre">available_pretrained_models</span></span><a class="headerlink" href="#core.models.model_registry.available_pretrained_models" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.model_registry.model_name_to_local_file">
+<span class="sig-prename descclassname"><span class="pre">core.models.model_registry.</span></span><span class="sig-name descname"><span class="pre">model_name_to_local_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_cache</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.model_registry.model_name_to_local_file" title="Link to this definition">#</a></dt>
+<dd><p>Download a pretrained checkpoint if it does not exist already</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_name</strong> (<em>str</em>) – the model name. See available_pretrained_checkpoints.</p></li>
+<li><p><strong>local_cache</strong> (<em>str</em><em> or </em><em>Path</em>) – path to local cache directory</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>local path to checkpoint file</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+    <h1>core.models.painn</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN"><code class="docutils literal notranslate"><span class="pre">PaiNN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNN.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.num_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.num_rbf"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.cutoff"><code class="docutils literal notranslate"><span class="pre">PaiNN.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.max_neighbors"><code class="docutils literal notranslate"><span class="pre">PaiNN.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.regress_forces"><code class="docutils literal notranslate"><span class="pre">PaiNN.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.direct_forces"><code class="docutils literal notranslate"><span class="pre">PaiNN.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.otf_graph"><code class="docutils literal notranslate"><span class="pre">PaiNN.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.use_pbc"><code class="docutils literal notranslate"><span class="pre">PaiNN.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">PaiNN.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.symmetric_edge_symmetrization"><code class="docutils literal notranslate"><span class="pre">PaiNN.symmetric_edge_symmetrization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.atom_emb"><code class="docutils literal notranslate"><span class="pre">PaiNN.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.radial_basis"><code class="docutils literal notranslate"><span class="pre">PaiNN.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.message_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.message_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.update_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.update_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.out_energy"><code class="docutils literal notranslate"><span class="pre">PaiNN.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">PaiNN.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNN.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">PaiNN.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.symmetrize_edges"><code class="docutils literal notranslate"><span class="pre">PaiNN.symmetrize_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.generate_graph_values"><code class="docutils literal notranslate"><span class="pre">PaiNN.generate_graph_values()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.forward"><code class="docutils literal notranslate"><span class="pre">PaiNN.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.num_params"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.__repr__"><code class="docutils literal notranslate"><span class="pre">PaiNN.__repr__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.painn">
+<span id="core-models-painn"></span><h1>core.models.painn<a class="headerlink" href="#module-core.models.painn" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="painn/index.html">core.models.painn.painn</a></li>
+<li class="toctree-l1"><a class="reference internal" href="utils/index.html">core.models.painn.utils</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.painn.PaiNN" title="core.models.painn.PaiNN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PaiNN</span></code></a></p></td>
+<td><p>PaiNN model based on the description in Schütt et al. (2021):</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.painn.</span></span><span class="sig-name descname"><span class="pre">PaiNN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">83</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.PaiNN" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>PaiNN model based on the description in Schütt et al. (2021):
+Equivariant message passing for the prediction of tensorial properties
+and molecular spectra, <a class="reference external" href="https://arxiv.org/abs/2102.03150">https://arxiv.org/abs/2102.03150</a>.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.painn.PaiNN.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.num_layers">
+<span class="sig-name descname"><span class="pre">num_layers</span></span><a class="headerlink" href="#core.models.painn.PaiNN.num_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.num_rbf">
+<span class="sig-name descname"><span class="pre">num_rbf</span></span><a class="headerlink" href="#core.models.painn.PaiNN.num_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.painn.PaiNN.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.painn.PaiNN.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.painn.PaiNN.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.painn.PaiNN.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.painn.PaiNN.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.painn.PaiNN.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.painn.PaiNN.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.symmetric_edge_symmetrization">
+<span class="sig-name descname"><span class="pre">symmetric_edge_symmetrization</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.painn.PaiNN.symmetric_edge_symmetrization" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.atom_emb">
+<span class="sig-name descname"><span class="pre">atom_emb</span></span><a class="headerlink" href="#core.models.painn.PaiNN.atom_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.painn.PaiNN.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.message_layers">
+<span class="sig-name descname"><span class="pre">message_layers</span></span><a class="headerlink" href="#core.models.painn.PaiNN.message_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.update_layers">
+<span class="sig-name descname"><span class="pre">update_layers</span></span><a class="headerlink" href="#core.models.painn.PaiNN.update_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.out_energy">
+<span class="sig-name descname"><span class="pre">out_energy</span></span><a class="headerlink" href="#core.models.painn.PaiNN.out_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.painn.PaiNN.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.painn.PaiNN.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.select_symmetric_edges">
+<span class="sig-name descname"><span class="pre">select_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inverse_neg</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.painn.PaiNN.select_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.symmetrize_edges">
+<span class="sig-name descname"><span class="pre">symmetrize_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_tensors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_tensors_invneg</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.PaiNN.symmetrize_edges" title="Link to this definition">#</a></dt>
+<dd><p>Symmetrize edges to ensure existence of counter-directional edges.</p>
+<p>Some edges are only present in one direction in the data,
+since every atom has a maximum number of neighbors.
+If <cite>symmetric_edge_symmetrization</cite> is False,
+we only use i-&gt;j edges here. So we lose some j-&gt;i edges
+and add others by making it symmetric.
+If <cite>symmetric_edge_symmetrization</cite> is True,
+we always use both directions.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.generate_graph_values">
+<span class="sig-name descname"><span class="pre">generate_graph_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.PaiNN.generate_graph_values" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.PaiNN.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.painn.PaiNN.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.PaiNN.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.painn.PaiNN.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            theme: "abcdef",
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN"><code class="docutils literal notranslate"><span class="pre">PaiNN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNN.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.num_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.num_rbf"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.cutoff"><code class="docutils literal notranslate"><span class="pre">PaiNN.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.max_neighbors"><code class="docutils literal notranslate"><span class="pre">PaiNN.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.regress_forces"><code class="docutils literal notranslate"><span class="pre">PaiNN.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.direct_forces"><code class="docutils literal notranslate"><span class="pre">PaiNN.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.otf_graph"><code class="docutils literal notranslate"><span class="pre">PaiNN.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.use_pbc"><code class="docutils literal notranslate"><span class="pre">PaiNN.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">PaiNN.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.symmetric_edge_symmetrization"><code class="docutils literal notranslate"><span class="pre">PaiNN.symmetric_edge_symmetrization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.atom_emb"><code class="docutils literal notranslate"><span class="pre">PaiNN.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.radial_basis"><code class="docutils literal notranslate"><span class="pre">PaiNN.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.message_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.message_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.update_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.update_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.out_energy"><code class="docutils literal notranslate"><span class="pre">PaiNN.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">PaiNN.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNN.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">PaiNN.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.symmetrize_edges"><code class="docutils literal notranslate"><span class="pre">PaiNN.symmetrize_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.generate_graph_values"><code class="docutils literal notranslate"><span class="pre">PaiNN.generate_graph_values()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.forward"><code class="docutils literal notranslate"><span class="pre">PaiNN.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.num_params"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.PaiNN.__repr__"><code class="docutils literal notranslate"><span class="pre">PaiNN.__repr__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
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+
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+    <h1>core.models.painn.painn</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN"><code class="docutils literal notranslate"><span class="pre">PaiNN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNN.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.num_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.num_rbf"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.cutoff"><code class="docutils literal notranslate"><span class="pre">PaiNN.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.max_neighbors"><code class="docutils literal notranslate"><span class="pre">PaiNN.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.regress_forces"><code class="docutils literal notranslate"><span class="pre">PaiNN.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.direct_forces"><code class="docutils literal notranslate"><span class="pre">PaiNN.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.otf_graph"><code class="docutils literal notranslate"><span class="pre">PaiNN.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.use_pbc"><code class="docutils literal notranslate"><span class="pre">PaiNN.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">PaiNN.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.symmetric_edge_symmetrization"><code class="docutils literal notranslate"><span class="pre">PaiNN.symmetric_edge_symmetrization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.atom_emb"><code class="docutils literal notranslate"><span class="pre">PaiNN.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.radial_basis"><code class="docutils literal notranslate"><span class="pre">PaiNN.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.message_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.message_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.update_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.update_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.out_energy"><code class="docutils literal notranslate"><span class="pre">PaiNN.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">PaiNN.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNN.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">PaiNN.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.symmetrize_edges"><code class="docutils literal notranslate"><span class="pre">PaiNN.symmetrize_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.generate_graph_values"><code class="docutils literal notranslate"><span class="pre">PaiNN.generate_graph_values()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.forward"><code class="docutils literal notranslate"><span class="pre">PaiNN.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.num_params"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.__repr__"><code class="docutils literal notranslate"><span class="pre">PaiNN.__repr__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNBackbone"><code class="docutils literal notranslate"><span class="pre">PaiNNBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNBackbone.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.x_proj"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.x_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.rbf_proj"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.rbf_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.inv_sqrt_3"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.inv_sqrt_3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.inv_sqrt_h"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.inv_sqrt_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.x_layernorm"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.x_layernorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.message"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.message()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.aggregate"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.aggregate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.update"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.update()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.vec_proj"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.vec_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.xvec_proj"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.xvec_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.inv_sqrt_h"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.inv_sqrt_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput.output_network"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput.output_network</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.out_channels"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.out_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.vec1_proj"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.vec1_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.vec2_proj"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.vec2_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.update_net"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.update_net</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.act"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.forward"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNEnergyHead"><code class="docutils literal notranslate"><span class="pre">PaiNNEnergyHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNEnergyHead.out_energy"><code class="docutils literal notranslate"><span class="pre">PaiNNEnergyHead.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNEnergyHead.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNEnergyHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNForceHead"><code class="docutils literal notranslate"><span class="pre">PaiNNForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">PaiNNForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNForceHead.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNForceHead.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.painn.painn">
+<span id="core-models-painn-painn"></span><h1>core.models.painn.painn<a class="headerlink" href="#module-core.models.painn.painn" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<p>—</p>
+<p>MIT License</p>
+<p>Copyright (c) 2021 www.compscience.org</p>
+<p>Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the “Software”), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:</p>
+<p>The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.</p>
+<p>THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.painn.painn.PaiNN" title="core.models.painn.painn.PaiNN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PaiNN</span></code></a></p></td>
+<td><p>PaiNN model based on the description in Schütt et al. (2021):</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.painn.painn.PaiNNBackbone" title="core.models.painn.painn.PaiNNBackbone"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PaiNNBackbone</span></code></a></p></td>
+<td><p>PaiNN model based on the description in Schütt et al. (2021):</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.painn.painn.PaiNNMessage" title="core.models.painn.painn.PaiNNMessage"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PaiNNMessage</span></code></a></p></td>
+<td><p>Base class for creating message passing layers.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.painn.painn.PaiNNUpdate" title="core.models.painn.painn.PaiNNUpdate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PaiNNUpdate</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.painn.painn.PaiNNOutput" title="core.models.painn.painn.PaiNNOutput"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PaiNNOutput</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.painn.painn.GatedEquivariantBlock" title="core.models.painn.painn.GatedEquivariantBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GatedEquivariantBlock</span></code></a></p></td>
+<td><p>Gated Equivariant Block as defined in Schütt et al. (2021):</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.painn.painn.PaiNNEnergyHead" title="core.models.painn.painn.PaiNNEnergyHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PaiNNEnergyHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.painn.painn.PaiNNForceHead" title="core.models.painn.painn.PaiNNForceHead"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PaiNNForceHead</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.painn.painn.</span></span><span class="sig-name descname"><span class="pre">PaiNN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">83</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNN" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>PaiNN model based on the description in Schütt et al. (2021):
+Equivariant message passing for the prediction of tensorial properties
+and molecular spectra, <a class="reference external" href="https://arxiv.org/abs/2102.03150">https://arxiv.org/abs/2102.03150</a>.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.num_layers">
+<span class="sig-name descname"><span class="pre">num_layers</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.num_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.num_rbf">
+<span class="sig-name descname"><span class="pre">num_rbf</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.num_rbf" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.symmetric_edge_symmetrization">
+<span class="sig-name descname"><span class="pre">symmetric_edge_symmetrization</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.painn.painn.PaiNN.symmetric_edge_symmetrization" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.atom_emb">
+<span class="sig-name descname"><span class="pre">atom_emb</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.atom_emb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.radial_basis">
+<span class="sig-name descname"><span class="pre">radial_basis</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.radial_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.message_layers">
+<span class="sig-name descname"><span class="pre">message_layers</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.message_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.update_layers">
+<span class="sig-name descname"><span class="pre">update_layers</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.update_layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.out_energy">
+<span class="sig-name descname"><span class="pre">out_energy</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.out_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.select_symmetric_edges">
+<span class="sig-name descname"><span class="pre">select_symmetric_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inverse_neg</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.select_symmetric_edges" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.symmetrize_edges">
+<span class="sig-name descname"><span class="pre">symmetrize_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_tensors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reorder_tensors_invneg</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNN.symmetrize_edges" title="Link to this definition">#</a></dt>
+<dd><p>Symmetrize edges to ensure existence of counter-directional edges.</p>
+<p>Some edges are only present in one direction in the data,
+since every atom has a maximum number of neighbors.
+If <cite>symmetric_edge_symmetrization</cite> is False,
+we only use i-&gt;j edges here. So we lose some j-&gt;i edges
+and add others by making it symmetric.
+If <cite>symmetric_edge_symmetrization</cite> is True,
+we always use both directions.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.generate_graph_values">
+<span class="sig-name descname"><span class="pre">generate_graph_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNN.generate_graph_values" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNN.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.painn.painn.PaiNN.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNN.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNN.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNBackbone">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.painn.painn.</span></span><span class="sig-name descname"><span class="pre">PaiNNBackbone</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">envelope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">83</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNBackbone" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.models.painn.painn.PaiNN" title="core.models.painn.painn.PaiNN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PaiNN</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.BackboneInterface</span></code></p>
+<p>PaiNN model based on the description in Schütt et al. (2021):
+Equivariant message passing for the prediction of tensorial properties
+and molecular spectra, <a class="reference external" href="https://arxiv.org/abs/2102.03150">https://arxiv.org/abs/2102.03150</a>.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNBackbone.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNBackbone.forward" title="Link to this definition">#</a></dt>
+<dd><p>Backbone forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>embedding</strong> – Return backbone embeddings for the given input</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.painn.painn.</span></span><span class="sig-name descname"><span class="pre">PaiNNMessage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rbf</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch_geometric.nn.MessagePassing</span></code></p>
+<p>Base class for creating message passing layers.</p>
+<p>Message passing layers follow the form</p>
+<div class="math notranslate nohighlight">
+\[\mathbf{x}_i^{\prime} = \gamma_{\mathbf{\Theta}} \left( \mathbf{x}_i,
+\bigoplus_{j \in \mathcal{N}(i)} \, \phi_{\mathbf{\Theta}}
+\left(\mathbf{x}_i, \mathbf{x}_j,\mathbf{e}_{j,i}\right) \right),\]</div>
+<p>where <span class="math notranslate nohighlight">\(\bigoplus\)</span> denotes a differentiable, permutation invariant
+function, <em>e.g.</em>, sum, mean, min, max or mul, and
+<span class="math notranslate nohighlight">\(\gamma_{\mathbf{\Theta}}\)</span> and <span class="math notranslate nohighlight">\(\phi_{\mathbf{\Theta}}\)</span> denote
+differentiable functions such as MLPs.
+See <a class="reference external" href="https://pytorch-geometric.readthedocs.io/en/latest/tutorial/create_gnn.html">here</a> for the accompanying tutorial.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>aggr</strong> (<em>str</em><em> or </em><em>[</em><em>str</em><em>] or </em><em>Aggregation</em><em>, </em><em>optional</em>) – The aggregation scheme
+to use, <em>e.g.</em>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;sum&quot;</span></code> <code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;mean&quot;</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;min&quot;</span></code>,
+<code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;max&quot;</span></code> or <code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;mul&quot;</span></code>.
+In addition, can be any
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Aggregation</span></code> module (or any string
+that automatically resolves to it).
+If given as a list, will make use of multiple aggregations in which
+different outputs will get concatenated in the last dimension.
+If set to <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>, the <code class="xref py py-class docutils literal notranslate"><span class="pre">MessagePassing</span></code> instantiation is
+expected to implement its own aggregation logic via
+<a class="reference internal" href="#core.models.painn.painn.PaiNNMessage.aggregate" title="core.models.painn.painn.PaiNNMessage.aggregate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">aggregate()</span></code></a>. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;add&quot;</span></code>)</p></li>
+<li><p><strong>aggr_kwargs</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>Any</em><em>]</em><em>, </em><em>optional</em>) – Arguments passed to the
+respective aggregation function in case it gets automatically
+resolved. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>flow</strong> (<em>str</em><em>, </em><em>optional</em>) – The flow direction of message passing
+(<code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;source_to_target&quot;</span></code> or <code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;target_to_source&quot;</span></code>).
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;source_to_target&quot;</span></code>)</p></li>
+<li><p><strong>node_dim</strong> (<em>int</em><em>, </em><em>optional</em>) – The axis along which to propagate.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">-2</span></code>)</p></li>
+<li><p><strong>decomposed_layers</strong> (<em>int</em><em>, </em><em>optional</em>) – The number of feature decomposition
+layers, as introduced in the <a class="reference external" href="https://arxiv.org/abs/2104.03058">“Optimizing Memory Efficiency of
+Graph Neural Networks on Edge Computing Platforms”</a> paper.
+Feature decomposition reduces the peak memory usage by slicing
+the feature dimensions into separated feature decomposition layers
+during GNN aggregation.
+This method can accelerate GNN execution on CPU-based platforms
+(<em>e.g.</em>, 2-3x speedup on the
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Reddit</span></code> dataset) for common GNN
+models such as <code class="xref py py-class docutils literal notranslate"><span class="pre">GCN</span></code>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">GraphSAGE</span></code>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">GIN</span></code>, etc.
+However, this method is not applicable to all GNN operators
+available, in particular for operators in which message computation
+can not easily be decomposed, <em>e.g.</em> in attention-based GNNs.
+The selection of the optimal value of <code class="xref py py-obj docutils literal notranslate"><span class="pre">decomposed_layers</span></code>
+depends both on the specific graph dataset and available hardware
+resources.
+A value of <code class="xref py py-obj docutils literal notranslate"><span class="pre">2</span></code> is suitable in most cases.
+Although the peak memory usage is directly associated with the
+granularity of feature decomposition, the same is not necessarily
+true for execution speedups. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">1</span></code>)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.x_proj">
+<span class="sig-name descname"><span class="pre">x_proj</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.x_proj" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.rbf_proj">
+<span class="sig-name descname"><span class="pre">rbf_proj</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.rbf_proj" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.inv_sqrt_3">
+<span class="sig-name descname"><span class="pre">inv_sqrt_3</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.inv_sqrt_3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.inv_sqrt_h">
+<span class="sig-name descname"><span class="pre">inv_sqrt_h</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.inv_sqrt_h" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.x_layernorm">
+<span class="sig-name descname"><span class="pre">x_layernorm</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.x_layernorm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.reset_parameters" title="Link to this definition">#</a></dt>
+<dd><p>Resets all learnable parameters of the module.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vec</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_rbf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_vector</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.forward" title="Link to this definition">#</a></dt>
+<dd><p>Runs the forward pass of the module.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.message">
+<span class="sig-name descname"><span class="pre">message</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xh_j</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vec_j</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rbfh_ij</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_ij</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.message" title="Link to this definition">#</a></dt>
+<dd><p>Constructs messages from node <span class="math notranslate nohighlight">\(j\)</span> to node <span class="math notranslate nohighlight">\(i\)</span>
+in analogy to <span class="math notranslate nohighlight">\(\phi_{\mathbf{\Theta}}\)</span> for each edge in
+<code class="xref py py-obj docutils literal notranslate"><span class="pre">edge_index</span></code>.
+This function can take any argument as input which was initially
+passed to <code class="xref py py-meth docutils literal notranslate"><span class="pre">propagate()</span></code>.
+Furthermore, tensors passed to <code class="xref py py-meth docutils literal notranslate"><span class="pre">propagate()</span></code> can be mapped to the
+respective nodes <span class="math notranslate nohighlight">\(i\)</span> and <span class="math notranslate nohighlight">\(j\)</span> by appending <code class="xref py py-obj docutils literal notranslate"><span class="pre">_i</span></code> or
+<code class="xref py py-obj docutils literal notranslate"><span class="pre">_j</span></code> to the variable name, <em>.e.g.</em> <code class="xref py py-obj docutils literal notranslate"><span class="pre">x_i</span></code> and <code class="xref py py-obj docutils literal notranslate"><span class="pre">x_j</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.aggregate">
+<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.aggregate" title="Link to this definition">#</a></dt>
+<dd><p>Aggregates messages from neighbors as
+<span class="math notranslate nohighlight">\(\bigoplus_{j \in \mathcal{N}(i)}\)</span>.</p>
+<p>Takes in the output of message computation as first argument and any
+argument which was initially passed to <code class="xref py py-meth docutils literal notranslate"><span class="pre">propagate()</span></code>.</p>
+<p>By default, this function will delegate its call to the underlying
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Aggregation</span></code> module to reduce messages
+as specified in <code class="xref py py-meth docutils literal notranslate"><span class="pre">__init__()</span></code> by the <code class="xref py py-obj docutils literal notranslate"><span class="pre">aggr</span></code> argument.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNMessage.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNMessage.update" title="Link to this definition">#</a></dt>
+<dd><p>Updates node embeddings in analogy to
+<span class="math notranslate nohighlight">\(\gamma_{\mathbf{\Theta}}\)</span> for each node
+<span class="math notranslate nohighlight">\(i \in \mathcal{V}\)</span>.
+Takes in the output of aggregation as first argument and any argument
+which was initially passed to <code class="xref py py-meth docutils literal notranslate"><span class="pre">propagate()</span></code>.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNUpdate">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.painn.painn.</span></span><span class="sig-name descname"><span class="pre">PaiNNUpdate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNUpdate" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNUpdate.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNUpdate.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNUpdate.vec_proj">
+<span class="sig-name descname"><span class="pre">vec_proj</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNUpdate.vec_proj" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNUpdate.xvec_proj">
+<span class="sig-name descname"><span class="pre">xvec_proj</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNUpdate.xvec_proj" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNUpdate.inv_sqrt_2">
+<span class="sig-name descname"><span class="pre">inv_sqrt_2</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNUpdate.inv_sqrt_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNUpdate.inv_sqrt_h">
+<span class="sig-name descname"><span class="pre">inv_sqrt_h</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNUpdate.inv_sqrt_h" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNUpdate.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNUpdate.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNUpdate.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNUpdate.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNOutput">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.painn.painn.</span></span><span class="sig-name descname"><span class="pre">PaiNNOutput</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNOutput" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNOutput.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNOutput.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNOutput.output_network">
+<span class="sig-name descname"><span class="pre">output_network</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNOutput.output_network" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNOutput.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNOutput.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNOutput.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNOutput.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.painn.painn.GatedEquivariantBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.painn.painn.</span></span><span class="sig-name descname"><span class="pre">GatedEquivariantBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_channels</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.GatedEquivariantBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Gated Equivariant Block as defined in Schütt et al. (2021):
+Equivariant message passing for the prediction of tensorial properties and molecular spectra</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.GatedEquivariantBlock.out_channels">
+<span class="sig-name descname"><span class="pre">out_channels</span></span><a class="headerlink" href="#core.models.painn.painn.GatedEquivariantBlock.out_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.GatedEquivariantBlock.vec1_proj">
+<span class="sig-name descname"><span class="pre">vec1_proj</span></span><a class="headerlink" href="#core.models.painn.painn.GatedEquivariantBlock.vec1_proj" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.GatedEquivariantBlock.vec2_proj">
+<span class="sig-name descname"><span class="pre">vec2_proj</span></span><a class="headerlink" href="#core.models.painn.painn.GatedEquivariantBlock.vec2_proj" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.GatedEquivariantBlock.update_net">
+<span class="sig-name descname"><span class="pre">update_net</span></span><a class="headerlink" href="#core.models.painn.painn.GatedEquivariantBlock.update_net" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.GatedEquivariantBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.painn.painn.GatedEquivariantBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.GatedEquivariantBlock.reset_parameters">
+<span class="sig-name descname"><span class="pre">reset_parameters</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.painn.painn.GatedEquivariantBlock.reset_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.GatedEquivariantBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.GatedEquivariantBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNEnergyHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.painn.painn.</span></span><span class="sig-name descname"><span class="pre">PaiNNEnergyHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNEnergyHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNEnergyHead.out_energy">
+<span class="sig-name descname"><span class="pre">out_energy</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNEnergyHead.out_energy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNEnergyHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNEnergyHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNForceHead">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.painn.painn.</span></span><span class="sig-name descname"><span class="pre">PaiNNForceHead</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">backbone</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.painn.PaiNNForceHead" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.HeadInterface</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNForceHead.direct_forces">
+<span class="sig-name descname"><span class="pre">direct_forces</span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNForceHead.direct_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.painn.painn.PaiNNForceHead.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.batch.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.models.painn.painn.PaiNNForceHead.forward" title="Link to this definition">#</a></dt>
+<dd><p>Head forward.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataBatch</em>) – Atomic systems as input</p></li>
+<li><p><strong>emb</strong> (<em>dict</em><em>[</em><em>str-&gt;torch.Tensor</em><em>]</em>) – Embeddings of the input as generated by the backbone</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>outputs</strong> – Return one or more targets generated by this head</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict[str-&gt;torch.Tensor]</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            theme: "abcdef",
+            mode: "python"
+        },
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+            path: "./autoapi/core/models/painn/painn"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN"><code class="docutils literal notranslate"><span class="pre">PaiNN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNN.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.num_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.num_rbf"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_rbf</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.cutoff"><code class="docutils literal notranslate"><span class="pre">PaiNN.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.max_neighbors"><code class="docutils literal notranslate"><span class="pre">PaiNN.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.regress_forces"><code class="docutils literal notranslate"><span class="pre">PaiNN.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.direct_forces"><code class="docutils literal notranslate"><span class="pre">PaiNN.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.otf_graph"><code class="docutils literal notranslate"><span class="pre">PaiNN.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.use_pbc"><code class="docutils literal notranslate"><span class="pre">PaiNN.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">PaiNN.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.symmetric_edge_symmetrization"><code class="docutils literal notranslate"><span class="pre">PaiNN.symmetric_edge_symmetrization</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.atom_emb"><code class="docutils literal notranslate"><span class="pre">PaiNN.atom_emb</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.radial_basis"><code class="docutils literal notranslate"><span class="pre">PaiNN.radial_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.message_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.message_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.update_layers"><code class="docutils literal notranslate"><span class="pre">PaiNN.update_layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.out_energy"><code class="docutils literal notranslate"><span class="pre">PaiNN.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">PaiNN.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNN.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.select_symmetric_edges"><code class="docutils literal notranslate"><span class="pre">PaiNN.select_symmetric_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.symmetrize_edges"><code class="docutils literal notranslate"><span class="pre">PaiNN.symmetrize_edges()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.generate_graph_values"><code class="docutils literal notranslate"><span class="pre">PaiNN.generate_graph_values()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.forward"><code class="docutils literal notranslate"><span class="pre">PaiNN.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.num_params"><code class="docutils literal notranslate"><span class="pre">PaiNN.num_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNN.__repr__"><code class="docutils literal notranslate"><span class="pre">PaiNN.__repr__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNBackbone"><code class="docutils literal notranslate"><span class="pre">PaiNNBackbone</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNBackbone.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNBackbone.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.x_proj"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.x_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.rbf_proj"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.rbf_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.inv_sqrt_3"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.inv_sqrt_3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.inv_sqrt_h"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.inv_sqrt_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.x_layernorm"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.x_layernorm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.message"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.message()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.aggregate"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.aggregate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNMessage.update"><code class="docutils literal notranslate"><span class="pre">PaiNNMessage.update()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.vec_proj"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.vec_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.xvec_proj"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.xvec_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.inv_sqrt_2"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.inv_sqrt_2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.inv_sqrt_h"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.inv_sqrt_h</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNUpdate.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNUpdate.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput.hidden_channels"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput.output_network"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput.output_network</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput.reset_parameters"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNOutput.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNOutput.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.out_channels"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.out_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.vec1_proj"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.vec1_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.vec2_proj"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.vec2_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.update_net"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.update_net</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.act"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.reset_parameters"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.reset_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.GatedEquivariantBlock.forward"><code class="docutils literal notranslate"><span class="pre">GatedEquivariantBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNEnergyHead"><code class="docutils literal notranslate"><span class="pre">PaiNNEnergyHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNEnergyHead.out_energy"><code class="docutils literal notranslate"><span class="pre">PaiNNEnergyHead.out_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNEnergyHead.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNEnergyHead.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNForceHead"><code class="docutils literal notranslate"><span class="pre">PaiNNForceHead</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNForceHead.direct_forces"><code class="docutils literal notranslate"><span class="pre">PaiNNForceHead.direct_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.painn.PaiNNForceHead.forward"><code class="docutils literal notranslate"><span class="pre">PaiNNForceHead.forward()</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.utils.repeat_blocks"><code class="docutils literal notranslate"><span class="pre">repeat_blocks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.painn.utils.get_edge_id"><code class="docutils literal notranslate"><span class="pre">get_edge_id()</span></code></a></li>
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+  <section id="module-core.models.painn.utils">
+<span id="core-models-painn-utils"></span><h1>core.models.painn.utils<a class="headerlink" href="#module-core.models.painn.utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.painn.utils.repeat_blocks" title="core.models.painn.utils.repeat_blocks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">repeat_blocks</span></code></a>(→ torch.Tensor)</p></td>
+<td><p>Repeat blocks of indices.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.painn.utils.get_edge_id" title="core.models.painn.utils.get_edge_id"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_edge_id</span></code></a>(edge_idx, cell_offsets, num_atoms)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.painn.utils.repeat_blocks">
+<span class="sig-prename descclassname"><span class="pre">core.models.painn.utils.</span></span><span class="sig-name descname"><span class="pre">repeat_blocks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sizes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repeats</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">continuous_indexing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">block_inc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repeat_inc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.painn.utils.repeat_blocks" title="Link to this definition">#</a></dt>
+<dd><p>Repeat blocks of indices.
+Adapted from <a class="reference external" href="https://stackoverflow.com/questions/51154989/numpy-vectorized-function-to-repeat-blocks-of-consecutive-elements">https://stackoverflow.com/questions/51154989/numpy-vectorized-function-to-repeat-blocks-of-consecutive-elements</a></p>
+<p>continuous_indexing: Whether to keep increasing the index after each block
+start_idx: Starting index
+block_inc: Number to increment by after each block,</p>
+<blockquote>
+<div><p>either global or per block. Shape: len(sizes) - 1</p>
+</div></blockquote>
+<dl class="simple">
+<dt>repeat_inc: Number to increment by after each repetition,</dt><dd><p>either global or per block</p>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<p>sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = False
+Return: [0 0 0  0 1 2 0 1 2  0 1 0 1 0 1]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True
+Return: [0 0 0  1 2 3 1 2 3  4 5 4 5 4 5]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+repeat_inc = 4
+Return: [0 4 8  1 2 3 5 6 7  4 5 8 9 12 13]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+start_idx = 5
+Return: [5 5 5  6 7 8 6 7 8  9 10 9 10 9 10]
+sizes = [1,3,2] ; repeats = [3,2,3] ; continuous_indexing = True ;
+block_inc = 1
+Return: [0 0 0  2 3 4 2 3 4  6 7 6 7 6 7]
+sizes = [0,3,2] ; repeats = [3,2,3] ; continuous_indexing = True
+Return: [0 1 2 0 1 2  3 4 3 4 3 4]
+sizes = [2,3,2] ; repeats = [2,0,2] ; continuous_indexing = True
+Return: [0 1 0 1  5 6 5 6]</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.painn.utils.get_edge_id">
+<span class="sig-prename descclassname"><span class="pre">core.models.painn.utils.</span></span><span class="sig-name descname"><span class="pre">get_edge_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.painn.utils.get_edge_id" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
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+    <h1>core.models.schnet</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap"><code class="docutils literal notranslate"><span class="pre">SchNetWrap</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.num_targets"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.num_targets</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.regress_forces"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.use_pbc"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.cutoff"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.otf_graph"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.max_neighbors"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.max_neighbors</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.reduce"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap._forward"><code class="docutils literal notranslate"><span class="pre">SchNetWrap._forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.forward"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.num_params"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.num_params</span></code></a></li>
+</ul>
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+                <article class="bd-article">
+                  
+  <section id="module-core.models.schnet">
+<span id="core-models-schnet"></span><h1>core.models.schnet<a class="headerlink" href="#module-core.models.schnet" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.schnet.SchNetWrap" title="core.models.schnet.SchNetWrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SchNetWrap</span></code></a></p></td>
+<td><p>Wrapper around the continuous-filter convolutional neural network SchNet from the</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.schnet.</span></span><span class="sig-name descname"><span class="pre">SchNetWrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_filters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_interactions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_gaussians</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">readout</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'add'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.schnet.SchNetWrap" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch_geometric.nn.SchNet</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>Wrapper around the continuous-filter convolutional neural network SchNet from the
+<a class="reference external" href="https://arxiv.org/abs/1706.08566">“SchNet: A Continuous-filter Convolutional Neural Network for Modeling
+Quantum Interactions”</a>. Each layer uses interaction
+block of the form:</p>
+<div class="math notranslate nohighlight">
+\[\mathbf{x}^{\prime}_i = \sum_{j \in \mathcal{N}(i)} \mathbf{x}_j \odot
+h_{\mathbf{\Theta}} ( \exp(-\gamma(\mathbf{e}_{j,i} - \mathbf{\mu}))),\]</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>use_pbc</strong> (<em>bool</em><em>, </em><em>optional</em>) – If set to <code class="xref py py-obj docutils literal notranslate"><span class="pre">True</span></code>, account for periodic boundary conditions.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">True</span></code>)</p></li>
+<li><p><strong>use_pbc_single</strong> (<em>bool</em><em>,</em><em>optional</em>) – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em><em>, </em><em>optional</em>) – If set to <code class="xref py py-obj docutils literal notranslate"><span class="pre">True</span></code>, predict forces by differentiating
+energy with respect to positions.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">True</span></code>)</p></li>
+<li><p><strong>otf_graph</strong> (<em>bool</em><em>, </em><em>optional</em>) – If set to <code class="xref py py-obj docutils literal notranslate"><span class="pre">True</span></code>, compute graph edges on the fly.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em><em>, </em><em>optional</em>) – Number of hidden channels.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">128</span></code>)</p></li>
+<li><p><strong>num_filters</strong> (<em>int</em><em>, </em><em>optional</em>) – Number of filters to use.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">128</span></code>)</p></li>
+<li><p><strong>num_interactions</strong> (<em>int</em><em>, </em><em>optional</em>) – Number of interaction blocks
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">6</span></code>)</p></li>
+<li><p><strong>num_gaussians</strong> (<em>int</em><em>, </em><em>optional</em>) – The number of gaussians <span class="math notranslate nohighlight">\(\mu\)</span>.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">50</span></code>)</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em><em>, </em><em>optional</em>) – Cutoff distance for interatomic interactions.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">10.0</span></code>)</p></li>
+<li><p><strong>readout</strong> (<em>string</em><em>, </em><em>optional</em>) – Whether to apply <code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;add&quot;</span></code> or
+<code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;mean&quot;</span></code> global aggregation. (default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">&quot;add&quot;</span></code>)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.num_targets">
+<span class="sig-name descname"><span class="pre">num_targets</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1</span></em><a class="headerlink" href="#core.models.schnet.SchNetWrap.num_targets" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.schnet.SchNetWrap.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.schnet.SchNetWrap.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.schnet.SchNetWrap.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.schnet.SchNetWrap.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.schnet.SchNetWrap.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.max_neighbors">
+<span class="sig-name descname"><span class="pre">max_neighbors</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">50</span></em><a class="headerlink" href="#core.models.schnet.SchNetWrap.max_neighbors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.reduce">
+<span class="sig-name descname"><span class="pre">reduce</span></span><a class="headerlink" href="#core.models.schnet.SchNetWrap.reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap._forward">
+<span class="sig-name descname"><span class="pre">_forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.schnet.SchNetWrap._forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.schnet.SchNetWrap.forward" title="Link to this definition">#</a></dt>
+<dd><p>Forward pass.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>z</strong> (<em>torch.Tensor</em>) – Atomic number of each atom with shape
+<code class="xref py py-obj docutils literal notranslate"><span class="pre">[num_atoms]</span></code>.</p></li>
+<li><p><strong>pos</strong> (<em>torch.Tensor</em>) – Coordinates of each atom with shape
+<code class="xref py py-obj docutils literal notranslate"><span class="pre">[num_atoms,</span> <span class="pre">3]</span></code>.</p></li>
+<li><p><strong>batch</strong> (<em>torch.Tensor</em><em>, </em><em>optional</em>) – Batch indices assigning each atom
+to a separate molecule with shape <code class="xref py py-obj docutils literal notranslate"><span class="pre">[num_atoms]</span></code>.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.schnet.SchNetWrap.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.schnet.SchNetWrap.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    {
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+        binderOptions: {
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+        },
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap"><code class="docutils literal notranslate"><span class="pre">SchNetWrap</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.num_targets"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.num_targets</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.regress_forces"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.use_pbc"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.schnet.SchNetWrap.cutoff"><code class="docutils literal notranslate"><span class="pre">SchNetWrap.cutoff</span></code></a></li>
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+    <h1>core.models.scn</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            <div>
+                <h2> Contents </h2>
+            </div>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.energy_fc1"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.energy_fc2"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.energy_fc3"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.force_fc1"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.force_fc2"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.force_fc3"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.regress_forces"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.use_pbc"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.cutoff"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.otf_graph"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.show_timing_info"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.show_timing_info</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.max_num_elements"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_interactions"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_interactions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_atoms"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphere_channels_reduce"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_channels_reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_basis_functions"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_basis_functions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.distance_resolution"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.distance_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.grad_forces"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.lmax"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.mmax"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.basis_width_scalar"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.basis_width_scalar</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphere_basis"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.use_grid"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.distance_function"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.counter"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.counter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.act"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_gaussians"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphharm_list"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphharm_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.edge_blocks"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.edge_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.forward"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork._forward_helper"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._forward_helper()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork._rank_edge_distances"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._rank_edge_distances()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_params"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_params</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.scn">
+<span id="core-models-scn"></span><h1>core.models.scn<a class="headerlink" href="#module-core.models.scn" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="sampling/index.html">core.models.scn.sampling</a></li>
+<li class="toctree-l1"><a class="reference internal" href="scn/index.html">core.models.scn.scn</a></li>
+<li class="toctree-l1"><a class="reference internal" href="smearing/index.html">core.models.scn.smearing</a></li>
+<li class="toctree-l1"><a class="reference internal" href="spherical_harmonics/index.html">core.models.scn.spherical_harmonics</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.scn.SphericalChannelNetwork" title="core.models.scn.SphericalChannelNetwork"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SphericalChannelNetwork</span></code></a></p></td>
+<td><p>Spherical Channel Network</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.</span></span><span class="sig-name descname"><span class="pre">SphericalChannelNetwork</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">90</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_interactions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_resolutions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels_reduce</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_taps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_bands</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_basis_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.02</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_timing_info</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>Spherical Channel Network
+Paper: Spherical Channels for Modeling Atomic Interactions</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Use periodic boundary conditions</p></li>
+<li><p><strong>use_pbc_single</strong> (<em>bool</em>) – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Compute forces</p></li>
+<li><p><strong>otf_graph</strong> (<em>bool</em>) – Compute graph On The Fly (OTF)</p></li>
+<li><p><strong>max_num_neighbors</strong> (<em>int</em>) – Maximum number of neighbors per atom</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Maximum distance between nieghboring atoms in Angstroms</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum atomic number</p></li>
+<li><p><strong>num_interactions</strong> (<em>int</em>) – Number of layers in the GNN</p></li>
+<li><p><strong>lmax</strong> (<em>int</em>) – Maximum degree of the spherical harmonics (1 to 10)</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – Maximum order of the spherical harmonics (0 or 1)</p></li>
+<li><p><strong>num_resolutions</strong> (<em>int</em>) – Number of resolutions used to compute messages, further away atoms has lower resolution (1 or 2)</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>sphere_channels_reduce</strong> (<em>int</em>) – Number of spherical channels used during message passing (downsample or upsample)</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden units in message passing</p></li>
+<li><p><strong>num_taps</strong> (<em>int</em>) – Number of taps or rotations used during message passing (1 or otherwise set automatically based on mmax)</p></li>
+<li><p><strong>use_grid</strong> (<em>bool</em>) – Use non-linear pointwise convolution during aggregation</p></li>
+<li><p><strong>num_bands</strong> (<em>int</em>) – Number of bands used during message aggregation for the 1x1 pointwise convolution (1 or 2)</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integration of the sphere in the output blocks</p></li>
+<li><p><strong>num_basis_functions</strong> (<em>int</em>) – Number of basis functions used for distance and atomic number blocks</p></li>
+<li><p><strong>distance_function</strong> (<em>&quot;gaussian&quot;</em><em>, </em><em>&quot;sigmoid&quot;</em><em>, </em><em>&quot;linearsigmoid&quot;</em><em>, </em><em>&quot;silu&quot;</em>) – Basis function used for distances</p></li>
+<li><p><strong>basis_width_scalar</strong> (<em>float</em>) – Width of distance basis function</p></li>
+<li><p><strong>distance_resolution</strong> (<em>float</em>) – Distance between distance basis functions in Angstroms</p></li>
+<li><p><strong>show_timing_info</strong> (<em>bool</em>) – Show timing and memory info</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.energy_fc1">
+<span class="sig-name descname"><span class="pre">energy_fc1</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.energy_fc1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.energy_fc2">
+<span class="sig-name descname"><span class="pre">energy_fc2</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.energy_fc2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.energy_fc3">
+<span class="sig-name descname"><span class="pre">energy_fc3</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.energy_fc3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.force_fc1">
+<span class="sig-name descname"><span class="pre">force_fc1</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.force_fc1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.force_fc2">
+<span class="sig-name descname"><span class="pre">force_fc2</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.force_fc2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.force_fc3">
+<span class="sig-name descname"><span class="pre">force_fc3</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.force_fc3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.show_timing_info">
+<span class="sig-name descname"><span class="pre">show_timing_info</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.show_timing_info" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.num_interactions">
+<span class="sig-name descname"><span class="pre">num_interactions</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.num_interactions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.num_atoms">
+<span class="sig-name descname"><span class="pre">num_atoms</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.num_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.sphere_channels_reduce">
+<span class="sig-name descname"><span class="pre">sphere_channels_reduce</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.sphere_channels_reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.num_basis_functions">
+<span class="sig-name descname"><span class="pre">num_basis_functions</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.num_basis_functions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.distance_resolution">
+<span class="sig-name descname"><span class="pre">distance_resolution</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.distance_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.grad_forces">
+<span class="sig-name descname"><span class="pre">grad_forces</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.grad_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.basis_width_scalar">
+<span class="sig-name descname"><span class="pre">basis_width_scalar</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.basis_width_scalar" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.sphere_basis">
+<span class="sig-name descname"><span class="pre">sphere_basis</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.sphere_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.use_grid">
+<span class="sig-name descname"><span class="pre">use_grid</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.use_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.distance_function">
+<span class="sig-name descname"><span class="pre">distance_function</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.distance_function" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.counter">
+<span class="sig-name descname"><span class="pre">counter</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.counter" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.sphere_embedding">
+<span class="sig-name descname"><span class="pre">sphere_embedding</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.sphere_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.num_gaussians">
+<span class="sig-name descname"><span class="pre">num_gaussians</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.num_gaussians" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.sphharm_list">
+<span class="sig-name descname"><span class="pre">sphharm_list</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.sphharm_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.edge_blocks">
+<span class="sig-name descname"><span class="pre">edge_blocks</span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.edge_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork._forward_helper">
+<span class="sig-name descname"><span class="pre">_forward_helper</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork._forward_helper" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork._init_edge_rot_mat">
+<span class="sig-name descname"><span class="pre">_init_edge_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork._init_edge_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork._rank_edge_distances">
+<span class="sig-name descname"><span class="pre">_rank_edge_distances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork._rank_edge_distances" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.scn.SphericalChannelNetwork.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.scn.SphericalChannelNetwork.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.energy_fc1"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.energy_fc2"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.energy_fc3"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.force_fc1"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.force_fc2"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.force_fc3"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.regress_forces"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.use_pbc"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.cutoff"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.otf_graph"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.show_timing_info"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.show_timing_info</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.max_num_elements"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_interactions"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_interactions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_atoms"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphere_channels_reduce"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_channels_reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_basis_functions"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_basis_functions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.distance_resolution"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.distance_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.grad_forces"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.lmax"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.mmax"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.basis_width_scalar"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.basis_width_scalar</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphere_basis"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.use_grid"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.distance_function"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.counter"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.counter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.act"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_gaussians"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.sphharm_list"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphharm_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.edge_blocks"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.edge_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.forward"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork._forward_helper"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._forward_helper()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork._rank_edge_distances"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._rank_edge_distances()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.SphericalChannelNetwork.num_params"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_params</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
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diff --git a/autoapi/core/models/scn/sampling/index.html b/autoapi/core/models/scn/sampling/index.html
new file mode 100644
index 0000000000..f5836579cd
--- /dev/null
+++ b/autoapi/core/models/scn/sampling/index.html
@@ -0,0 +1,794 @@
+
+<!DOCTYPE html>
+
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+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.sampling.CalcSpherePoints"><code class="docutils literal notranslate"><span class="pre">CalcSpherePoints()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.sampling.CalcSpherePointsRandom"><code class="docutils literal notranslate"><span class="pre">CalcSpherePointsRandom()</span></code></a></li>
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+  <section id="module-core.models.scn.sampling">
+<span id="core-models-scn-sampling"></span><h1>core.models.scn.sampling<a class="headerlink" href="#module-core.models.scn.sampling" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.scn.sampling.CalcSpherePoints" title="core.models.scn.sampling.CalcSpherePoints"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CalcSpherePoints</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.scn.sampling.CalcSpherePointsRandom" title="core.models.scn.sampling.CalcSpherePointsRandom"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CalcSpherePointsRandom</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.scn.sampling.CalcSpherePoints">
+<span class="sig-prename descclassname"><span class="pre">core.models.scn.sampling.</span></span><span class="sig-name descname"><span class="pre">CalcSpherePoints</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'cpu'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.sampling.CalcSpherePoints" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.scn.sampling.CalcSpherePointsRandom">
+<span class="sig-prename descclassname"><span class="pre">core.models.scn.sampling.</span></span><span class="sig-name descname"><span class="pre">CalcSpherePointsRandom</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.sampling.CalcSpherePointsRandom" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+    <h1>core.models.scn.scn</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.energy_fc1"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.energy_fc2"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.energy_fc3"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.force_fc1"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.force_fc2"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.force_fc3"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.regress_forces"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.use_pbc"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.cutoff"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.otf_graph"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.show_timing_info"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.show_timing_info</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.max_num_elements"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_interactions"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_interactions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_atoms"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_channels_reduce"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_channels_reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_basis_functions"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_basis_functions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.distance_resolution"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.distance_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.grad_forces"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.lmax"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.mmax"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.basis_width_scalar"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.basis_width_scalar</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_basis"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.use_grid"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.distance_function"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.counter"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.counter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.act"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_gaussians"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphharm_list"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphharm_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.edge_blocks"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.edge_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.forward"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork._forward_helper"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._forward_helper()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork._rank_edge_distances"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._rank_edge_distances()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_params"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock"><code class="docutils literal notranslate"><span class="pre">EdgeBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.act"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.hidden_channels_list"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.hidden_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.sphere_channels_reduce"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.sphere_channels_reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.distance_expansion"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.distance_expansion</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.cutoff_list"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.cutoff_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.sphharm_list"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.sphharm_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.num_basis_functions"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.num_basis_functions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.use_grid"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.use_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.num_gaussians"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.dist_block"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.dist_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.message_blocks"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.message_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.forward"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock"><code class="docutils literal notranslate"><span class="pre">MessageBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.act"><code class="docutils literal notranslate"><span class="pre">MessageBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.hidden_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.sphere_channels_reduce"><code class="docutils literal notranslate"><span class="pre">MessageBlock.sphere_channels_reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.sphharm"><code class="docutils literal notranslate"><span class="pre">MessageBlock.sphharm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.fc1_dist"><code class="docutils literal notranslate"><span class="pre">MessageBlock.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.fc1_edge_proj"><code class="docutils literal notranslate"><span class="pre">MessageBlock.fc1_edge_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.fc1_edge"><code class="docutils literal notranslate"><span class="pre">MessageBlock.fc1_edge</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.fc2_edge"><code class="docutils literal notranslate"><span class="pre">MessageBlock.fc2_edge</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.forward"><code class="docutils literal notranslate"><span class="pre">MessageBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock"><code class="docutils literal notranslate"><span class="pre">DistanceBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.in_channels"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.distance_expansion"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.distance_expansion</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.act"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.num_basis_functions"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.num_basis_functions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.max_num_elements"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.num_edge_channels"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.num_edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.fc1_dist"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.source_embedding"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.source_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.target_embedding"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.fc1_edge_attr"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.fc1_edge_attr</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.forward"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.scn.scn">
+<span id="core-models-scn-scn"></span><h1>core.models.scn.scn<a class="headerlink" href="#module-core.models.scn.scn" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.scn.scn.SphericalChannelNetwork" title="core.models.scn.scn.SphericalChannelNetwork"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SphericalChannelNetwork</span></code></a></p></td>
+<td><p>Spherical Channel Network</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.scn.scn.EdgeBlock" title="core.models.scn.scn.EdgeBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EdgeBlock</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.scn.scn.MessageBlock" title="core.models.scn.scn.MessageBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MessageBlock</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.scn.scn.DistanceBlock" title="core.models.scn.scn.DistanceBlock"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DistanceBlock</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.scn.</span></span><span class="sig-name descname"><span class="pre">SphericalChannelNetwork</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_pbc_single</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regress_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">otf_graph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">90</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_interactions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_resolutions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels_reduce</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_taps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_bands</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sphere_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_basis_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'gaussian'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_resolution</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.02</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_timing_info</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">direct_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.models.base.GraphModelMixin</span></code></p>
+<p>Spherical Channel Network
+Paper: Spherical Channels for Modeling Atomic Interactions</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>use_pbc</strong> (<em>bool</em>) – Use periodic boundary conditions</p></li>
+<li><p><strong>use_pbc_single</strong> (<em>bool</em>) – Process batch PBC graphs one at a time</p></li>
+<li><p><strong>regress_forces</strong> (<em>bool</em>) – Compute forces</p></li>
+<li><p><strong>otf_graph</strong> (<em>bool</em>) – Compute graph On The Fly (OTF)</p></li>
+<li><p><strong>max_num_neighbors</strong> (<em>int</em>) – Maximum number of neighbors per atom</p></li>
+<li><p><strong>cutoff</strong> (<em>float</em>) – Maximum distance between nieghboring atoms in Angstroms</p></li>
+<li><p><strong>max_num_elements</strong> (<em>int</em>) – Maximum atomic number</p></li>
+<li><p><strong>num_interactions</strong> (<em>int</em>) – Number of layers in the GNN</p></li>
+<li><p><strong>lmax</strong> (<em>int</em>) – Maximum degree of the spherical harmonics (1 to 10)</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – Maximum order of the spherical harmonics (0 or 1)</p></li>
+<li><p><strong>num_resolutions</strong> (<em>int</em>) – Number of resolutions used to compute messages, further away atoms has lower resolution (1 or 2)</p></li>
+<li><p><strong>sphere_channels</strong> (<em>int</em>) – Number of spherical channels</p></li>
+<li><p><strong>sphere_channels_reduce</strong> (<em>int</em>) – Number of spherical channels used during message passing (downsample or upsample)</p></li>
+<li><p><strong>hidden_channels</strong> (<em>int</em>) – Number of hidden units in message passing</p></li>
+<li><p><strong>num_taps</strong> (<em>int</em>) – Number of taps or rotations used during message passing (1 or otherwise set automatically based on mmax)</p></li>
+<li><p><strong>use_grid</strong> (<em>bool</em>) – Use non-linear pointwise convolution during aggregation</p></li>
+<li><p><strong>num_bands</strong> (<em>int</em>) – Number of bands used during message aggregation for the 1x1 pointwise convolution (1 or 2)</p></li>
+<li><p><strong>num_sphere_samples</strong> (<em>int</em>) – Number of samples used to approximate the integration of the sphere in the output blocks</p></li>
+<li><p><strong>num_basis_functions</strong> (<em>int</em>) – Number of basis functions used for distance and atomic number blocks</p></li>
+<li><p><strong>distance_function</strong> (<em>&quot;gaussian&quot;</em><em>, </em><em>&quot;sigmoid&quot;</em><em>, </em><em>&quot;linearsigmoid&quot;</em><em>, </em><em>&quot;silu&quot;</em>) – Basis function used for distances</p></li>
+<li><p><strong>basis_width_scalar</strong> (<em>float</em>) – Width of distance basis function</p></li>
+<li><p><strong>distance_resolution</strong> (<em>float</em>) – Distance between distance basis functions in Angstroms</p></li>
+<li><p><strong>show_timing_info</strong> (<em>bool</em>) – Show timing and memory info</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.energy_fc1">
+<span class="sig-name descname"><span class="pre">energy_fc1</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.energy_fc1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.energy_fc2">
+<span class="sig-name descname"><span class="pre">energy_fc2</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.energy_fc2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.energy_fc3">
+<span class="sig-name descname"><span class="pre">energy_fc3</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.energy_fc3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.force_fc1">
+<span class="sig-name descname"><span class="pre">force_fc1</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.force_fc1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.force_fc2">
+<span class="sig-name descname"><span class="pre">force_fc2</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.force_fc2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.force_fc3">
+<span class="sig-name descname"><span class="pre">force_fc3</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.nn.Linear</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.force_fc3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.regress_forces">
+<span class="sig-name descname"><span class="pre">regress_forces</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.regress_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.use_pbc">
+<span class="sig-name descname"><span class="pre">use_pbc</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.use_pbc" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.use_pbc_single">
+<span class="sig-name descname"><span class="pre">use_pbc_single</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.use_pbc_single" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.cutoff">
+<span class="sig-name descname"><span class="pre">cutoff</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.cutoff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.otf_graph">
+<span class="sig-name descname"><span class="pre">otf_graph</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.otf_graph" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.show_timing_info">
+<span class="sig-name descname"><span class="pre">show_timing_info</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.show_timing_info" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.num_interactions">
+<span class="sig-name descname"><span class="pre">num_interactions</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.num_interactions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.num_atoms">
+<span class="sig-name descname"><span class="pre">num_atoms</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.num_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.num_sphere_samples">
+<span class="sig-name descname"><span class="pre">num_sphere_samples</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.num_sphere_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.sphere_channels_reduce">
+<span class="sig-name descname"><span class="pre">sphere_channels_reduce</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_channels_reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.num_basis_functions">
+<span class="sig-name descname"><span class="pre">num_basis_functions</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.num_basis_functions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.distance_resolution">
+<span class="sig-name descname"><span class="pre">distance_resolution</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.distance_resolution" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.grad_forces">
+<span class="sig-name descname"><span class="pre">grad_forces</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">False</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.grad_forces" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.basis_width_scalar">
+<span class="sig-name descname"><span class="pre">basis_width_scalar</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.basis_width_scalar" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.sphere_basis">
+<span class="sig-name descname"><span class="pre">sphere_basis</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.use_grid">
+<span class="sig-name descname"><span class="pre">use_grid</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.use_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.distance_function">
+<span class="sig-name descname"><span class="pre">distance_function</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.distance_function" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.counter">
+<span class="sig-name descname"><span class="pre">counter</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.counter" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.sphere_embedding">
+<span class="sig-name descname"><span class="pre">sphere_embedding</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.num_gaussians">
+<span class="sig-name descname"><span class="pre">num_gaussians</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.num_gaussians" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.sphharm_list">
+<span class="sig-name descname"><span class="pre">sphharm_list</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.sphharm_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.edge_blocks">
+<span class="sig-name descname"><span class="pre">edge_blocks</span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.edge_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork._forward_helper">
+<span class="sig-name descname"><span class="pre">_forward_helper</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork._forward_helper" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork._init_edge_rot_mat">
+<span class="sig-name descname"><span class="pre">_init_edge_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance_vec</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork._init_edge_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork._rank_edge_distances">
+<span class="sig-name descname"><span class="pre">_rank_edge_distances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_neighbors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork._rank_edge_distances" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.models.scn.scn.SphericalChannelNetwork.num_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">num_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.scn.scn.SphericalChannelNetwork.num_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.scn.</span></span><span class="sig-name descname"><span class="pre">EdgeBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_resolutions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels_reduce</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphharm_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphere_channels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_expansion</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_basis_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_gaussians</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.num_resolutions">
+<span class="sig-name descname"><span class="pre">num_resolutions</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.num_resolutions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.hidden_channels_list">
+<span class="sig-name descname"><span class="pre">hidden_channels_list</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.hidden_channels_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.sphere_channels">
+<span class="sig-name descname"><span class="pre">sphere_channels</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.sphere_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.sphere_channels_reduce">
+<span class="sig-name descname"><span class="pre">sphere_channels_reduce</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.sphere_channels_reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.distance_expansion">
+<span class="sig-name descname"><span class="pre">distance_expansion</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.distance_expansion" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.cutoff_list">
+<span class="sig-name descname"><span class="pre">cutoff_list</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.cutoff_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.sphharm_list">
+<span class="sig-name descname"><span class="pre">sphharm_list</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.sphharm_list" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.num_basis_functions">
+<span class="sig-name descname"><span class="pre">num_basis_functions</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.num_basis_functions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.use_grid">
+<span class="sig-name descname"><span class="pre">use_grid</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.use_grid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.num_gaussians">
+<span class="sig-name descname"><span class="pre">num_gaussians</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.num_gaussians" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.dist_block">
+<span class="sig-name descname"><span class="pre">dist_block</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.dist_block" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.message_blocks">
+<span class="sig-name descname"><span class="pre">message_blocks</span></span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.message_blocks" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.scn.EdgeBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atomic_numbers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.EdgeBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.scn.</span></span><span class="sig-name descname"><span class="pre">MessageBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sphere_channels_reduce</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hidden_channels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_basis_functions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sphharm</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.MessageBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.scn.scn.MessageBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock.hidden_channels">
+<span class="sig-name descname"><span class="pre">hidden_channels</span></span><a class="headerlink" href="#core.models.scn.scn.MessageBlock.hidden_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock.sphere_channels_reduce">
+<span class="sig-name descname"><span class="pre">sphere_channels_reduce</span></span><a class="headerlink" href="#core.models.scn.scn.MessageBlock.sphere_channels_reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock.sphharm">
+<span class="sig-name descname"><span class="pre">sphharm</span></span><a class="headerlink" href="#core.models.scn.scn.MessageBlock.sphharm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock.fc1_dist">
+<span class="sig-name descname"><span class="pre">fc1_dist</span></span><a class="headerlink" href="#core.models.scn.scn.MessageBlock.fc1_dist" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock.fc1_edge_proj">
+<span class="sig-name descname"><span class="pre">fc1_edge_proj</span></span><a class="headerlink" href="#core.models.scn.scn.MessageBlock.fc1_edge_proj" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock.fc1_edge">
+<span class="sig-name descname"><span class="pre">fc1_edge</span></span><a class="headerlink" href="#core.models.scn.scn.MessageBlock.fc1_edge" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock.fc2_edge">
+<span class="sig-name descname"><span class="pre">fc2_edge</span></span><a class="headerlink" href="#core.models.scn.scn.MessageBlock.fc2_edge" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.scn.MessageBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_edge</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.MessageBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.scn.</span></span><span class="sig-name descname"><span class="pre">DistanceBlock</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_channels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_basis_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_expansion</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.in_channels">
+<span class="sig-name descname"><span class="pre">in_channels</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.in_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.distance_expansion">
+<span class="sig-name descname"><span class="pre">distance_expansion</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.distance_expansion" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.num_basis_functions">
+<span class="sig-name descname"><span class="pre">num_basis_functions</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.num_basis_functions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.max_num_elements">
+<span class="sig-name descname"><span class="pre">max_num_elements</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.max_num_elements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.num_edge_channels">
+<span class="sig-name descname"><span class="pre">num_edge_channels</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.num_edge_channels" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.fc1_dist">
+<span class="sig-name descname"><span class="pre">fc1_dist</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.fc1_dist" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.source_embedding">
+<span class="sig-name descname"><span class="pre">source_embedding</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.source_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.target_embedding">
+<span class="sig-name descname"><span class="pre">target_embedding</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.target_embedding" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.fc1_edge_attr">
+<span class="sig-name descname"><span class="pre">fc1_edge_attr</span></span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.fc1_edge_attr" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.scn.DistanceBlock.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_element</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_element</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.scn.DistanceBlock.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.energy_fc1"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.energy_fc2"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.energy_fc3"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.energy_fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.force_fc1"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.force_fc2"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc2</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.force_fc3"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.force_fc3</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.regress_forces"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.regress_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.use_pbc"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.use_pbc_single"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_pbc_single</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.cutoff"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.cutoff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.otf_graph"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.otf_graph</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.show_timing_info"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.show_timing_info</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.max_num_elements"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.hidden_channels"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_interactions"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_interactions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_atoms"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_sphere_samples"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_sphere_samples</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_channels"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_channels_reduce"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_channels_reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_basis_functions"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_basis_functions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.distance_resolution"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.distance_resolution</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.grad_forces"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.grad_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.lmax"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.mmax"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.basis_width_scalar"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.basis_width_scalar</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_basis"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.use_grid"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.use_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.distance_function"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.distance_function</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.counter"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.counter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.act"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphere_embedding"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphere_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_gaussians"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.sphharm_list"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.sphharm_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.edge_blocks"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.edge_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.forward"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork._forward_helper"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._forward_helper()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork._init_edge_rot_mat"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._init_edge_rot_mat()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork._rank_edge_distances"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork._rank_edge_distances()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.SphericalChannelNetwork.num_params"><code class="docutils literal notranslate"><span class="pre">SphericalChannelNetwork.num_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock"><code class="docutils literal notranslate"><span class="pre">EdgeBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.num_resolutions"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.num_resolutions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.act"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.hidden_channels_list"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.hidden_channels_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.sphere_channels"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.sphere_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.sphere_channels_reduce"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.sphere_channels_reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.distance_expansion"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.distance_expansion</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.cutoff_list"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.cutoff_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.sphharm_list"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.sphharm_list</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.max_num_elements"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.num_basis_functions"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.num_basis_functions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.use_grid"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.use_grid</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.num_gaussians"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.num_gaussians</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.dist_block"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.dist_block</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.message_blocks"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.message_blocks</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.EdgeBlock.forward"><code class="docutils literal notranslate"><span class="pre">EdgeBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock"><code class="docutils literal notranslate"><span class="pre">MessageBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.act"><code class="docutils literal notranslate"><span class="pre">MessageBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.hidden_channels"><code class="docutils literal notranslate"><span class="pre">MessageBlock.hidden_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.sphere_channels_reduce"><code class="docutils literal notranslate"><span class="pre">MessageBlock.sphere_channels_reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.sphharm"><code class="docutils literal notranslate"><span class="pre">MessageBlock.sphharm</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.fc1_dist"><code class="docutils literal notranslate"><span class="pre">MessageBlock.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.fc1_edge_proj"><code class="docutils literal notranslate"><span class="pre">MessageBlock.fc1_edge_proj</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.fc1_edge"><code class="docutils literal notranslate"><span class="pre">MessageBlock.fc1_edge</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.fc2_edge"><code class="docutils literal notranslate"><span class="pre">MessageBlock.fc2_edge</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.MessageBlock.forward"><code class="docutils literal notranslate"><span class="pre">MessageBlock.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock"><code class="docutils literal notranslate"><span class="pre">DistanceBlock</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.in_channels"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.in_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.distance_expansion"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.distance_expansion</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.act"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.num_basis_functions"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.num_basis_functions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.max_num_elements"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.max_num_elements</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.num_edge_channels"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.num_edge_channels</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.fc1_dist"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.fc1_dist</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.source_embedding"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.source_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.target_embedding"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.target_embedding</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.fc1_edge_attr"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.fc1_edge_attr</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.scn.DistanceBlock.forward"><code class="docutils literal notranslate"><span class="pre">DistanceBlock.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
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+    <h1>core.models.scn.smearing</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.GaussianSmearing"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.GaussianSmearing.num_output"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.num_output</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.GaussianSmearing.coeff"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.coeff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.GaussianSmearing.forward"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SigmoidSmearing"><code class="docutils literal notranslate"><span class="pre">SigmoidSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SigmoidSmearing.num_output"><code class="docutils literal notranslate"><span class="pre">SigmoidSmearing.num_output</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SigmoidSmearing.coeff"><code class="docutils literal notranslate"><span class="pre">SigmoidSmearing.coeff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SigmoidSmearing.forward"><code class="docutils literal notranslate"><span class="pre">SigmoidSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.LinearSigmoidSmearing"><code class="docutils literal notranslate"><span class="pre">LinearSigmoidSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.LinearSigmoidSmearing.num_output"><code class="docutils literal notranslate"><span class="pre">LinearSigmoidSmearing.num_output</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.LinearSigmoidSmearing.coeff"><code class="docutils literal notranslate"><span class="pre">LinearSigmoidSmearing.coeff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.LinearSigmoidSmearing.forward"><code class="docutils literal notranslate"><span class="pre">LinearSigmoidSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SiLUSmearing"><code class="docutils literal notranslate"><span class="pre">SiLUSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SiLUSmearing.num_output"><code class="docutils literal notranslate"><span class="pre">SiLUSmearing.num_output</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SiLUSmearing.fc1"><code class="docutils literal notranslate"><span class="pre">SiLUSmearing.fc1</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SiLUSmearing.act"><code class="docutils literal notranslate"><span class="pre">SiLUSmearing.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SiLUSmearing.forward"><code class="docutils literal notranslate"><span class="pre">SiLUSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.scn.smearing">
+<span id="core-models-scn-smearing"></span><h1>core.models.scn.smearing<a class="headerlink" href="#module-core.models.scn.smearing" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.scn.smearing.GaussianSmearing" title="core.models.scn.smearing.GaussianSmearing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GaussianSmearing</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.scn.smearing.SigmoidSmearing" title="core.models.scn.smearing.SigmoidSmearing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SigmoidSmearing</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.scn.smearing.LinearSigmoidSmearing" title="core.models.scn.smearing.LinearSigmoidSmearing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LinearSigmoidSmearing</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.scn.smearing.SiLUSmearing" title="core.models.scn.smearing.SiLUSmearing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SiLUSmearing</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.smearing.GaussianSmearing">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.smearing.</span></span><span class="sig-name descname"><span class="pre">GaussianSmearing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_gaussians</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.smearing.GaussianSmearing" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.smearing.GaussianSmearing.num_output">
+<span class="sig-name descname"><span class="pre">num_output</span></span><a class="headerlink" href="#core.models.scn.smearing.GaussianSmearing.num_output" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.smearing.GaussianSmearing.coeff">
+<span class="sig-name descname"><span class="pre">coeff</span></span><a class="headerlink" href="#core.models.scn.smearing.GaussianSmearing.coeff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.smearing.GaussianSmearing.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dist</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.smearing.GaussianSmearing.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.smearing.SigmoidSmearing">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.smearing.</span></span><span class="sig-name descname"><span class="pre">SigmoidSmearing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sigmoid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.smearing.SigmoidSmearing" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.smearing.SigmoidSmearing.num_output">
+<span class="sig-name descname"><span class="pre">num_output</span></span><a class="headerlink" href="#core.models.scn.smearing.SigmoidSmearing.num_output" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.smearing.SigmoidSmearing.coeff">
+<span class="sig-name descname"><span class="pre">coeff</span></span><a class="headerlink" href="#core.models.scn.smearing.SigmoidSmearing.coeff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.smearing.SigmoidSmearing.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dist</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.smearing.SigmoidSmearing.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.smearing.LinearSigmoidSmearing">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.smearing.</span></span><span class="sig-name descname"><span class="pre">LinearSigmoidSmearing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sigmoid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.smearing.LinearSigmoidSmearing" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.smearing.LinearSigmoidSmearing.num_output">
+<span class="sig-name descname"><span class="pre">num_output</span></span><a class="headerlink" href="#core.models.scn.smearing.LinearSigmoidSmearing.num_output" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.smearing.LinearSigmoidSmearing.coeff">
+<span class="sig-name descname"><span class="pre">coeff</span></span><a class="headerlink" href="#core.models.scn.smearing.LinearSigmoidSmearing.coeff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.smearing.LinearSigmoidSmearing.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dist</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.smearing.LinearSigmoidSmearing.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.smearing.SiLUSmearing">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.smearing.</span></span><span class="sig-name descname"><span class="pre">SiLUSmearing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_width_scalar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.smearing.SiLUSmearing" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.smearing.SiLUSmearing.num_output">
+<span class="sig-name descname"><span class="pre">num_output</span></span><a class="headerlink" href="#core.models.scn.smearing.SiLUSmearing.num_output" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.smearing.SiLUSmearing.fc1">
+<span class="sig-name descname"><span class="pre">fc1</span></span><a class="headerlink" href="#core.models.scn.smearing.SiLUSmearing.fc1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.smearing.SiLUSmearing.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.scn.smearing.SiLUSmearing.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.smearing.SiLUSmearing.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dist</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.smearing.SiLUSmearing.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
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+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/models/scn/smearing"
+        },
+        predefinedOutput: true
+    }
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+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.GaussianSmearing"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.GaussianSmearing.num_output"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.num_output</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.GaussianSmearing.coeff"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.coeff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.GaussianSmearing.forward"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SigmoidSmearing"><code class="docutils literal notranslate"><span class="pre">SigmoidSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SigmoidSmearing.num_output"><code class="docutils literal notranslate"><span class="pre">SigmoidSmearing.num_output</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SigmoidSmearing.forward"><code class="docutils literal notranslate"><span class="pre">SigmoidSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.LinearSigmoidSmearing"><code class="docutils literal notranslate"><span class="pre">LinearSigmoidSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.LinearSigmoidSmearing.num_output"><code class="docutils literal notranslate"><span class="pre">LinearSigmoidSmearing.num_output</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.LinearSigmoidSmearing.coeff"><code class="docutils literal notranslate"><span class="pre">LinearSigmoidSmearing.coeff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.LinearSigmoidSmearing.forward"><code class="docutils literal notranslate"><span class="pre">LinearSigmoidSmearing.forward()</span></code></a></li>
+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SiLUSmearing"><code class="docutils literal notranslate"><span class="pre">SiLUSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.smearing.SiLUSmearing.num_output"><code class="docutils literal notranslate"><span class="pre">SiLUSmearing.num_output</span></code></a></li>
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+    <h1>core.models.scn.spherical_harmonics</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics._Jd"><code class="docutils literal notranslate"><span class="pre">_Jd</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.lmax"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.mmax"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.num_taps"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.num_taps</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.num_bands"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.num_bands</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.sphere_basis"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.sphere_basis</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.sphere_basis_reduce"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.sphere_basis_reduce</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitWignerDMatrix"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.InitWignerDMatrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitYRotMapping"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.InitYRotMapping()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.ToGrid"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.ToGrid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FromGrid"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.FromGrid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.CombineYRotations"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.CombineYRotations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.Rotate"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.Rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FlipGrid"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.FlipGrid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateInv"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.RotateInv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateWigner"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.RotateWigner()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationMatrix"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.RotationMatrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationToWignerDMatrix"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.RotationToWignerDMatrix()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.wigner_D"><code class="docutils literal notranslate"><span class="pre">wigner_D()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics._z_rot_mat"><code class="docutils literal notranslate"><span class="pre">_z_rot_mat()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.scn.spherical_harmonics">
+<span id="core-models-scn-spherical-harmonics"></span><h1>core.models.scn.spherical_harmonics<a class="headerlink" href="#module-core.models.scn.spherical_harmonics" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.scn.spherical_harmonics._Jd" title="core.models.scn.spherical_harmonics._Jd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_Jd</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper" title="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper</span></code></a></p></td>
+<td><p>Helper functions for spherical harmonics calculations and representations</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.scn.spherical_harmonics.wigner_D" title="core.models.scn.spherical_harmonics.wigner_D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wigner_D</span></code></a>(l, alpha, beta, gamma)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.scn.spherical_harmonics._z_rot_mat" title="core.models.scn.spherical_harmonics._z_rot_mat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_z_rot_mat</span></code></a>(angle, l)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics._Jd">
+<span class="sig-prename descclassname"><span class="pre">core.models.scn.spherical_harmonics.</span></span><span class="sig-name descname"><span class="pre">_Jd</span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics._Jd" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.scn.spherical_harmonics.</span></span><span class="sig-name descname"><span class="pre">SphericalHarmonicsHelper</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_taps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_bands</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper" title="Link to this definition">#</a></dt>
+<dd><p>Helper functions for spherical harmonics calculations and representations</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lmax</strong> (<em>int</em>) – Maximum degree of the spherical harmonics</p></li>
+<li><p><strong>mmax</strong> (<em>int</em>) – Maximum order of the spherical harmonics</p></li>
+<li><p><strong>num_taps</strong> (<em>int</em>) – Number of taps or rotations (1 or otherwise set automatically based on mmax)</p></li>
+<li><p><strong>num_bands</strong> (<em>int</em>) – Number of bands used during message aggregation for the 1x1 pointwise convolution (1 or 2)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.lmax">
+<span class="sig-name descname"><span class="pre">lmax</span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.lmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.mmax">
+<span class="sig-name descname"><span class="pre">mmax</span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.mmax" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.num_taps">
+<span class="sig-name descname"><span class="pre">num_taps</span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.num_taps" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.num_bands">
+<span class="sig-name descname"><span class="pre">num_bands</span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.num_bands" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.sphere_basis">
+<span class="sig-name descname"><span class="pre">sphere_basis</span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.sphere_basis" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.sphere_basis_reduce">
+<span class="sig-name descname"><span class="pre">sphere_basis_reduce</span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.sphere_basis_reduce" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitWignerDMatrix">
+<span class="sig-name descname"><span class="pre">InitWignerDMatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_rot_mat</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitWignerDMatrix" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitYRotMapping">
+<span class="sig-name descname"><span class="pre">InitYRotMapping</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitYRotMapping" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.ToGrid">
+<span class="sig-name descname"><span class="pre">ToGrid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.ToGrid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FromGrid">
+<span class="sig-name descname"><span class="pre">FromGrid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FromGrid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.CombineYRotations">
+<span class="sig-name descname"><span class="pre">CombineYRotations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.CombineYRotations" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.Rotate">
+<span class="sig-name descname"><span class="pre">Rotate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.Rotate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FlipGrid">
+<span class="sig-name descname"><span class="pre">FlipGrid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FlipGrid" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateInv">
+<span class="sig-name descname"><span class="pre">RotateInv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateInv" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateWigner">
+<span class="sig-name descname"><span class="pre">RotateWigner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wigner</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateWigner" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationMatrix">
+<span class="sig-name descname"><span class="pre">RotationMatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rot_x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rot_y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rot_z</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationMatrix" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationToWignerDMatrix">
+<span class="sig-name descname"><span class="pre">RotationToWignerDMatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">edge_rot_mat</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_lmax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_lmax</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationToWignerDMatrix" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics.wigner_D">
+<span class="sig-prename descclassname"><span class="pre">core.models.scn.spherical_harmonics.</span></span><span class="sig-name descname"><span class="pre">wigner_D</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">l</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gamma</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.spherical_harmonics.wigner_D" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.models.scn.spherical_harmonics._z_rot_mat">
+<span class="sig-prename descclassname"><span class="pre">core.models.scn.spherical_harmonics.</span></span><span class="sig-name descname"><span class="pre">_z_rot_mat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">angle</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">l</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.scn.spherical_harmonics._z_rot_mat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics._Jd"><code class="docutils literal notranslate"><span class="pre">_Jd</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.lmax"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.lmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.mmax"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.mmax</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.num_taps"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.num_taps</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitWignerDMatrix"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.InitWignerDMatrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitYRotMapping"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.InitYRotMapping()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.CombineYRotations"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.CombineYRotations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.Rotate"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.Rotate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FlipGrid"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.FlipGrid()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateInv"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.RotateInv()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateWigner"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.RotateWigner()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationMatrix"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.RotationMatrix()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationToWignerDMatrix"><code class="docutils literal notranslate"><span class="pre">SphericalHarmonicsHelper.RotationToWignerDMatrix()</span></code></a></li>
+</ul>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act"><code class="docutils literal notranslate"><span class="pre">Act</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act.act"><code class="docutils literal notranslate"><span class="pre">Act.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act.slope"><code class="docutils literal notranslate"><span class="pre">Act.slope</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act.shift"><code class="docutils literal notranslate"><span class="pre">Act.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act.forward"><code class="docutils literal notranslate"><span class="pre">Act.forward()</span></code></a></li>
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+                  
+  <section id="module-core.models.utils.activations">
+<span id="core-models-utils-activations"></span><h1>core.models.utils.activations<a class="headerlink" href="#module-core.models.utils.activations" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.utils.activations.Act" title="core.models.utils.activations.Act"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Act</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.utils.activations.Act">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.utils.activations.</span></span><span class="sig-name descname"><span class="pre">Act</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slope</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.utils.activations.Act" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.activations.Act.act">
+<span class="sig-name descname"><span class="pre">act</span></span><a class="headerlink" href="#core.models.utils.activations.Act.act" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.activations.Act.slope">
+<span class="sig-name descname"><span class="pre">slope</span></span><a class="headerlink" href="#core.models.utils.activations.Act.slope" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.activations.Act.shift">
+<span class="sig-name descname"><span class="pre">shift</span></span><a class="headerlink" href="#core.models.utils.activations.Act.shift" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.utils.activations.Act.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.utils.activations.Act.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+        },
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+    }
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act"><code class="docutils literal notranslate"><span class="pre">Act</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act.act"><code class="docutils literal notranslate"><span class="pre">Act.act</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act.slope"><code class="docutils literal notranslate"><span class="pre">Act.slope</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act.shift"><code class="docutils literal notranslate"><span class="pre">Act.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.activations.Act.forward"><code class="docutils literal notranslate"><span class="pre">Act.forward()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Sine"><code class="docutils literal notranslate"><span class="pre">Sine</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Sine.w0"><code class="docutils literal notranslate"><span class="pre">Sine.w0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Sine.forward"><code class="docutils literal notranslate"><span class="pre">Sine.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SIREN"><code class="docutils literal notranslate"><span class="pre">SIREN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SIREN.layers"><code class="docutils literal notranslate"><span class="pre">SIREN.layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SIREN.network"><code class="docutils literal notranslate"><span class="pre">SIREN.network</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SIREN.forward"><code class="docutils literal notranslate"><span class="pre">SIREN.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing"><code class="docutils literal notranslate"><span class="pre">SINESmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.num_freqs"><code class="docutils literal notranslate"><span class="pre">SINESmearing.num_freqs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.out_dim"><code class="docutils literal notranslate"><span class="pre">SINESmearing.out_dim</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.use_cosine"><code class="docutils literal notranslate"><span class="pre">SINESmearing.use_cosine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.freq_filter"><code class="docutils literal notranslate"><span class="pre">SINESmearing.freq_filter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.forward"><code class="docutils literal notranslate"><span class="pre">SINESmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing.num_freqs"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.num_freqs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing.coeff"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.coeff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing.offset"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.offset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing.forward"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing"><code class="docutils literal notranslate"><span class="pre">FourierSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.num_freqs"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.num_freqs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.out_dim"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.out_dim</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.use_cosine"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.use_cosine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.freq_filter"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.freq_filter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.forward"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis"><code class="docutils literal notranslate"><span class="pre">Basis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis.smearing"><code class="docutils literal notranslate"><span class="pre">Basis.smearing</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis.num_freqs"><code class="docutils literal notranslate"><span class="pre">Basis.num_freqs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis.basis_type"><code class="docutils literal notranslate"><span class="pre">Basis.basis_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis.forward"><code class="docutils literal notranslate"><span class="pre">Basis.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SphericalSmearing"><code class="docutils literal notranslate"><span class="pre">SphericalSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SphericalSmearing.m"><code class="docutils literal notranslate"><span class="pre">SphericalSmearing.m</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SphericalSmearing.n"><code class="docutils literal notranslate"><span class="pre">SphericalSmearing.n</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SphericalSmearing.max_n"><code class="docutils literal notranslate"><span class="pre">SphericalSmearing.max_n</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SphericalSmearing.out_dim"><code class="docutils literal notranslate"><span class="pre">SphericalSmearing.out_dim</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SphericalSmearing.forward"><code class="docutils literal notranslate"><span class="pre">SphericalSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.models.utils.basis">
+<span id="core-models-utils-basis"></span><h1>core.models.utils.basis<a class="headerlink" href="#module-core.models.utils.basis" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.utils.basis.Sine" title="core.models.utils.basis.Sine"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sine</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.utils.basis.SIREN" title="core.models.utils.basis.SIREN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SIREN</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.utils.basis.SINESmearing" title="core.models.utils.basis.SINESmearing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SINESmearing</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.utils.basis.GaussianSmearing" title="core.models.utils.basis.GaussianSmearing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GaussianSmearing</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.utils.basis.FourierSmearing" title="core.models.utils.basis.FourierSmearing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FourierSmearing</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.models.utils.basis.Basis" title="core.models.utils.basis.Basis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Basis</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.models.utils.basis.SphericalSmearing" title="core.models.utils.basis.SphericalSmearing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SphericalSmearing</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.utils.basis.Sine">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.utils.basis.</span></span><span class="sig-name descname"><span class="pre">Sine</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">w0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.utils.basis.Sine" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.Sine.w0">
+<span class="sig-name descname"><span class="pre">w0</span></span><a class="headerlink" href="#core.models.utils.basis.Sine.w0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.utils.basis.Sine.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.utils.basis.Sine.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.utils.basis.SIREN">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.utils.basis.</span></span><span class="sig-name descname"><span class="pre">SIREN</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_in_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">w0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initializer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'siren'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">c</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.utils.basis.SIREN" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SIREN.layers">
+<span class="sig-name descname"><span class="pre">layers</span></span><a class="headerlink" href="#core.models.utils.basis.SIREN.layers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SIREN.network">
+<span class="sig-name descname"><span class="pre">network</span></span><a class="headerlink" href="#core.models.utils.basis.SIREN.network" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.utils.basis.SIREN.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.utils.basis.SIREN.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.utils.basis.SINESmearing">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.utils.basis.</span></span><span class="sig-name descname"><span class="pre">SINESmearing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_in_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">40</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_cosine</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.utils.basis.SINESmearing" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SINESmearing.num_freqs">
+<span class="sig-name descname"><span class="pre">num_freqs</span></span><a class="headerlink" href="#core.models.utils.basis.SINESmearing.num_freqs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SINESmearing.out_dim">
+<span class="sig-name descname"><span class="pre">out_dim</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.utils.basis.SINESmearing.out_dim" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SINESmearing.use_cosine">
+<span class="sig-name descname"><span class="pre">use_cosine</span></span><a class="headerlink" href="#core.models.utils.basis.SINESmearing.use_cosine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SINESmearing.freq_filter">
+<span class="sig-name descname"><span class="pre">freq_filter</span></span><a class="headerlink" href="#core.models.utils.basis.SINESmearing.freq_filter" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.utils.basis.SINESmearing.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.utils.basis.SINESmearing.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.utils.basis.GaussianSmearing">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.utils.basis.</span></span><span class="sig-name descname"><span class="pre">GaussianSmearing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_in_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.utils.basis.GaussianSmearing" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.GaussianSmearing.num_freqs">
+<span class="sig-name descname"><span class="pre">num_freqs</span></span><a class="headerlink" href="#core.models.utils.basis.GaussianSmearing.num_freqs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.GaussianSmearing.coeff">
+<span class="sig-name descname"><span class="pre">coeff</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.models.utils.basis.GaussianSmearing.coeff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.GaussianSmearing.offset">
+<span class="sig-name descname"><span class="pre">offset</span></span><a class="headerlink" href="#core.models.utils.basis.GaussianSmearing.offset" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.utils.basis.GaussianSmearing.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.utils.basis.GaussianSmearing.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.utils.basis.FourierSmearing">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.utils.basis.</span></span><span class="sig-name descname"><span class="pre">FourierSmearing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_in_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">40</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_cosine</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.utils.basis.FourierSmearing" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.FourierSmearing.num_freqs">
+<span class="sig-name descname"><span class="pre">num_freqs</span></span><a class="headerlink" href="#core.models.utils.basis.FourierSmearing.num_freqs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.FourierSmearing.out_dim">
+<span class="sig-name descname"><span class="pre">out_dim</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.models.utils.basis.FourierSmearing.out_dim" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.FourierSmearing.use_cosine">
+<span class="sig-name descname"><span class="pre">use_cosine</span></span><a class="headerlink" href="#core.models.utils.basis.FourierSmearing.use_cosine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.FourierSmearing.freq_filter">
+<span class="sig-name descname"><span class="pre">freq_filter</span></span><a class="headerlink" href="#core.models.utils.basis.FourierSmearing.freq_filter" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.utils.basis.FourierSmearing.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.utils.basis.FourierSmearing.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.utils.basis.Basis">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.utils.basis.</span></span><span class="sig-name descname"><span class="pre">Basis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_in_features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'powersine'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">act</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'ssp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#core.models.utils.basis.SphericalSmearing" title="core.models.utils.basis.SphericalSmearing"><span class="pre">SphericalSmearing</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.utils.basis.Basis" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.Basis.smearing">
+<span class="sig-name descname"><span class="pre">smearing</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#core.models.utils.basis.SINESmearing" title="core.models.utils.basis.SINESmearing"><span class="pre">SINESmearing</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="#core.models.utils.basis.FourierSmearing" title="core.models.utils.basis.FourierSmearing"><span class="pre">FourierSmearing</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="#core.models.utils.basis.GaussianSmearing" title="core.models.utils.basis.GaussianSmearing"><span class="pre">GaussianSmearing</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.nn.Sequential</span></em><a class="headerlink" href="#core.models.utils.basis.Basis.smearing" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.Basis.num_freqs">
+<span class="sig-name descname"><span class="pre">num_freqs</span></span><a class="headerlink" href="#core.models.utils.basis.Basis.num_freqs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.Basis.basis_type">
+<span class="sig-name descname"><span class="pre">basis_type</span></span><a class="headerlink" href="#core.models.utils.basis.Basis.basis_type" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.utils.basis.Basis.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_attr_sph</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.utils.basis.Basis.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.models.utils.basis.SphericalSmearing">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.models.utils.basis.</span></span><span class="sig-name descname"><span class="pre">SphericalSmearing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">option</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.models.utils.basis.SphericalSmearing" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SphericalSmearing.m">
+<span class="sig-name descname"><span class="pre">m</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.int_</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.models.utils.basis.SphericalSmearing.m" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SphericalSmearing.n">
+<span class="sig-name descname"><span class="pre">n</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.int_</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.models.utils.basis.SphericalSmearing.n" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SphericalSmearing.max_n">
+<span class="sig-name descname"><span class="pre">max_n</span></span><a class="headerlink" href="#core.models.utils.basis.SphericalSmearing.max_n" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.models.utils.basis.SphericalSmearing.out_dim">
+<span class="sig-name descname"><span class="pre">out_dim</span></span><a class="headerlink" href="#core.models.utils.basis.SphericalSmearing.out_dim" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.models.utils.basis.SphericalSmearing.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">xyz</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.models.utils.basis.SphericalSmearing.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/models/utils/basis"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
+    <a class="left-prev"
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+        <p class="prev-next-subtitle">previous</p>
+        <p class="prev-next-title">core.models.utils.activations</p>
+      </div>
+    </a>
+    <a class="right-next"
+       href="../../../modules/index.html"
+       title="next page">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Sine"><code class="docutils literal notranslate"><span class="pre">Sine</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Sine.w0"><code class="docutils literal notranslate"><span class="pre">Sine.w0</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Sine.forward"><code class="docutils literal notranslate"><span class="pre">Sine.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SIREN"><code class="docutils literal notranslate"><span class="pre">SIREN</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SIREN.layers"><code class="docutils literal notranslate"><span class="pre">SIREN.layers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SIREN.network"><code class="docutils literal notranslate"><span class="pre">SIREN.network</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SIREN.forward"><code class="docutils literal notranslate"><span class="pre">SIREN.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing"><code class="docutils literal notranslate"><span class="pre">SINESmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.num_freqs"><code class="docutils literal notranslate"><span class="pre">SINESmearing.num_freqs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.out_dim"><code class="docutils literal notranslate"><span class="pre">SINESmearing.out_dim</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.use_cosine"><code class="docutils literal notranslate"><span class="pre">SINESmearing.use_cosine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.freq_filter"><code class="docutils literal notranslate"><span class="pre">SINESmearing.freq_filter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SINESmearing.forward"><code class="docutils literal notranslate"><span class="pre">SINESmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing.num_freqs"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.num_freqs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing.coeff"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.coeff</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing.offset"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.offset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.GaussianSmearing.forward"><code class="docutils literal notranslate"><span class="pre">GaussianSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing"><code class="docutils literal notranslate"><span class="pre">FourierSmearing</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.num_freqs"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.num_freqs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.out_dim"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.out_dim</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.use_cosine"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.use_cosine</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.freq_filter"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.freq_filter</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.FourierSmearing.forward"><code class="docutils literal notranslate"><span class="pre">FourierSmearing.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis"><code class="docutils literal notranslate"><span class="pre">Basis</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis.smearing"><code class="docutils literal notranslate"><span class="pre">Basis.smearing</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis.num_freqs"><code class="docutils literal notranslate"><span class="pre">Basis.num_freqs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis.basis_type"><code class="docutils literal notranslate"><span class="pre">Basis.basis_type</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.Basis.forward"><code class="docutils literal notranslate"><span class="pre">Basis.forward()</span></code></a></li>
+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SphericalSmearing"><code class="docutils literal notranslate"><span class="pre">SphericalSmearing</span></code></a><ul class="nav section-nav flex-column">
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SphericalSmearing.n"><code class="docutils literal notranslate"><span class="pre">SphericalSmearing.n</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.models.utils.basis.SphericalSmearing.max_n"><code class="docutils literal notranslate"><span class="pre">SphericalSmearing.max_n</span></code></a></li>
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+    <h1>core.modules.evaluator</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.NONE_SLICE"><code class="docutils literal notranslate"><span class="pre">NONE_SLICE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator"><code class="docutils literal notranslate"><span class="pre">Evaluator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.task_metrics"><code class="docutils literal notranslate"><span class="pre">Evaluator.task_metrics</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.task_primary_metric"><code class="docutils literal notranslate"><span class="pre">Evaluator.task_primary_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.task"><code class="docutils literal notranslate"><span class="pre">Evaluator.task</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.target_metrics"><code class="docutils literal notranslate"><span class="pre">Evaluator.target_metrics</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.eval"><code class="docutils literal notranslate"><span class="pre">Evaluator.eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.update"><code class="docutils literal notranslate"><span class="pre">Evaluator.update()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.metrics_dict"><code class="docutils literal notranslate"><span class="pre">metrics_dict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.cosine_similarity"><code class="docutils literal notranslate"><span class="pre">cosine_similarity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.mae"><code class="docutils literal notranslate"><span class="pre">mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.mse"><code class="docutils literal notranslate"><span class="pre">mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.per_atom_mae"><code class="docutils literal notranslate"><span class="pre">per_atom_mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.per_atom_mse"><code class="docutils literal notranslate"><span class="pre">per_atom_mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.magnitude_error"><code class="docutils literal notranslate"><span class="pre">magnitude_error()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesx_mae"><code class="docutils literal notranslate"><span class="pre">forcesx_mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesx_mse"><code class="docutils literal notranslate"><span class="pre">forcesx_mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesy_mae"><code class="docutils literal notranslate"><span class="pre">forcesy_mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesy_mse"><code class="docutils literal notranslate"><span class="pre">forcesy_mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesz_mae"><code class="docutils literal notranslate"><span class="pre">forcesz_mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesz_mse"><code class="docutils literal notranslate"><span class="pre">forcesz_mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.energy_forces_within_threshold"><code class="docutils literal notranslate"><span class="pre">energy_forces_within_threshold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.energy_within_threshold"><code class="docutils literal notranslate"><span class="pre">energy_within_threshold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.average_distance_within_threshold"><code class="docutils literal notranslate"><span class="pre">average_distance_within_threshold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.min_diff"><code class="docutils literal notranslate"><span class="pre">min_diff()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.rmse"><code class="docutils literal notranslate"><span class="pre">rmse()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.modules.evaluator">
+<span id="core-modules-evaluator"></span><h1>core.modules.evaluator<a class="headerlink" href="#module-core.modules.evaluator" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.NONE_SLICE" title="core.modules.evaluator.NONE_SLICE"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NONE_SLICE</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.Evaluator" title="core.modules.evaluator.Evaluator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Evaluator</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.metrics_dict" title="core.modules.evaluator.metrics_dict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">metrics_dict</span></code></a>(→ Callable)</p></td>
+<td><p>Wrap up the return of a metrics function</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.evaluator.cosine_similarity" title="core.modules.evaluator.cosine_similarity"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cosine_similarity</span></code></a>(prediction, target[, key])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.mae" title="core.modules.evaluator.mae"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mae</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.evaluator.mse" title="core.modules.evaluator.mse"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mse</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.per_atom_mae" title="core.modules.evaluator.per_atom_mae"><code class="xref py py-obj docutils literal notranslate"><span class="pre">per_atom_mae</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.evaluator.per_atom_mse" title="core.modules.evaluator.per_atom_mse"><code class="xref py py-obj docutils literal notranslate"><span class="pre">per_atom_mse</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.magnitude_error" title="core.modules.evaluator.magnitude_error"><code class="xref py py-obj docutils literal notranslate"><span class="pre">magnitude_error</span></code></a>(→ torch.Tensor)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.evaluator.forcesx_mae" title="core.modules.evaluator.forcesx_mae"><code class="xref py py-obj docutils literal notranslate"><span class="pre">forcesx_mae</span></code></a>(prediction, target[, key])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.forcesx_mse" title="core.modules.evaluator.forcesx_mse"><code class="xref py py-obj docutils literal notranslate"><span class="pre">forcesx_mse</span></code></a>(prediction, target[, key])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.evaluator.forcesy_mae" title="core.modules.evaluator.forcesy_mae"><code class="xref py py-obj docutils literal notranslate"><span class="pre">forcesy_mae</span></code></a>(prediction, target[, key])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.forcesy_mse" title="core.modules.evaluator.forcesy_mse"><code class="xref py py-obj docutils literal notranslate"><span class="pre">forcesy_mse</span></code></a>(prediction, target[, key])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.evaluator.forcesz_mae" title="core.modules.evaluator.forcesz_mae"><code class="xref py py-obj docutils literal notranslate"><span class="pre">forcesz_mae</span></code></a>(prediction, target[, key])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.forcesz_mse" title="core.modules.evaluator.forcesz_mse"><code class="xref py py-obj docutils literal notranslate"><span class="pre">forcesz_mse</span></code></a>(prediction, target[, key])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.evaluator.energy_forces_within_threshold" title="core.modules.evaluator.energy_forces_within_threshold"><code class="xref py py-obj docutils literal notranslate"><span class="pre">energy_forces_within_threshold</span></code></a>(→ dict[str, float | int])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.energy_within_threshold" title="core.modules.evaluator.energy_within_threshold"><code class="xref py py-obj docutils literal notranslate"><span class="pre">energy_within_threshold</span></code></a>(→ dict[str, float | int])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.evaluator.average_distance_within_threshold" title="core.modules.evaluator.average_distance_within_threshold"><code class="xref py py-obj docutils literal notranslate"><span class="pre">average_distance_within_threshold</span></code></a>(→ dict[str, float | int])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.evaluator.min_diff" title="core.modules.evaluator.min_diff"><code class="xref py py-obj docutils literal notranslate"><span class="pre">min_diff</span></code></a>(pred_pos, dft_pos, cell, pbc)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.evaluator.rmse" title="core.modules.evaluator.rmse"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rmse</span></code></a>(→ dict[str, float | int])</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.modules.evaluator.NONE_SLICE">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">NONE_SLICE</span></span><a class="headerlink" href="#core.modules.evaluator.NONE_SLICE" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.evaluator.Evaluator">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">Evaluator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.Evaluator" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.evaluator.Evaluator.task_metrics">
+<span class="sig-name descname"><span class="pre">task_metrics</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">ClassVar</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.modules.evaluator.Evaluator.task_metrics" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.evaluator.Evaluator.task_primary_metric">
+<span class="sig-name descname"><span class="pre">task_primary_metric</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">ClassVar</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.modules.evaluator.Evaluator.task_primary_metric" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.evaluator.Evaluator.task">
+<span class="sig-name descname"><span class="pre">task</span></span><a class="headerlink" href="#core.modules.evaluator.Evaluator.task" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.evaluator.Evaluator.target_metrics">
+<span class="sig-name descname"><span class="pre">target_metrics</span></span><a class="headerlink" href="#core.modules.evaluator.Evaluator.target_metrics" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.evaluator.Evaluator.eval">
+<span class="sig-name descname"><span class="pre">eval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prev_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.Evaluator.eval" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.evaluator.Evaluator.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.Evaluator.update" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.metrics_dict">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">metrics_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metric_fun</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Callable</span></span></span><a class="headerlink" href="#core.modules.evaluator.metrics_dict" title="Link to this definition">#</a></dt>
+<dd><p>Wrap up the return of a metrics function</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.cosine_similarity">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">cosine_similarity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NONE_SLICE</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.cosine_similarity" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.mae">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">mae</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NONE_SLICE</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.evaluator.mae" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.mse">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">mse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NONE_SLICE</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.evaluator.mse" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.per_atom_mae">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">per_atom_mae</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NONE_SLICE</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.evaluator.per_atom_mae" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.per_atom_mse">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">per_atom_mse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NONE_SLICE</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.evaluator.per_atom_mse" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.magnitude_error">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">magnitude_error</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NONE_SLICE</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.evaluator.magnitude_error" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.forcesx_mae">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">forcesx_mae</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NONE_SLICE</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.forcesx_mae" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.forcesx_mse">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">forcesx_mse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NONE_SLICE</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.forcesx_mse" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.forcesy_mae">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">forcesy_mae</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.forcesy_mae" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.forcesy_mse">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">forcesy_mse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.forcesy_mse" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.forcesz_mae">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">forcesz_mae</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.forcesz_mae" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.forcesz_mse">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">forcesz_mse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.forcesz_mse" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.energy_forces_within_threshold">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">energy_forces_within_threshold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.evaluator.energy_forces_within_threshold" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.energy_within_threshold">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">energy_within_threshold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.evaluator.energy_within_threshold" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.average_distance_within_threshold">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">average_distance_within_threshold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.evaluator.average_distance_within_threshold" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.min_diff">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">min_diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pred_pos</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dft_pos</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.evaluator.min_diff" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.evaluator.rmse">
+<span class="sig-prename descclassname"><span class="pre">core.modules.evaluator.</span></span><span class="sig-name descname"><span class="pre">rmse</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Hashable</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.evaluator.rmse" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.NONE_SLICE"><code class="docutils literal notranslate"><span class="pre">NONE_SLICE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator"><code class="docutils literal notranslate"><span class="pre">Evaluator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.task_metrics"><code class="docutils literal notranslate"><span class="pre">Evaluator.task_metrics</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.task_primary_metric"><code class="docutils literal notranslate"><span class="pre">Evaluator.task_primary_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.task"><code class="docutils literal notranslate"><span class="pre">Evaluator.task</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.target_metrics"><code class="docutils literal notranslate"><span class="pre">Evaluator.target_metrics</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.eval"><code class="docutils literal notranslate"><span class="pre">Evaluator.eval()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.Evaluator.update"><code class="docutils literal notranslate"><span class="pre">Evaluator.update()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.metrics_dict"><code class="docutils literal notranslate"><span class="pre">metrics_dict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.cosine_similarity"><code class="docutils literal notranslate"><span class="pre">cosine_similarity()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.mae"><code class="docutils literal notranslate"><span class="pre">mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.mse"><code class="docutils literal notranslate"><span class="pre">mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.per_atom_mae"><code class="docutils literal notranslate"><span class="pre">per_atom_mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.per_atom_mse"><code class="docutils literal notranslate"><span class="pre">per_atom_mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.magnitude_error"><code class="docutils literal notranslate"><span class="pre">magnitude_error()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesx_mae"><code class="docutils literal notranslate"><span class="pre">forcesx_mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesx_mse"><code class="docutils literal notranslate"><span class="pre">forcesx_mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesy_mae"><code class="docutils literal notranslate"><span class="pre">forcesy_mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesy_mse"><code class="docutils literal notranslate"><span class="pre">forcesy_mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesz_mae"><code class="docutils literal notranslate"><span class="pre">forcesz_mae()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.forcesz_mse"><code class="docutils literal notranslate"><span class="pre">forcesz_mse()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.energy_forces_within_threshold"><code class="docutils literal notranslate"><span class="pre">energy_forces_within_threshold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.energy_within_threshold"><code class="docutils literal notranslate"><span class="pre">energy_within_threshold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.average_distance_within_threshold"><code class="docutils literal notranslate"><span class="pre">average_distance_within_threshold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.min_diff"><code class="docutils literal notranslate"><span class="pre">min_diff()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.evaluator.rmse"><code class="docutils literal notranslate"><span class="pre">rmse()</span></code></a></li>
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+    <h1>core.modules.exponential_moving_average</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
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+                <ul class="visible nav section-nav flex-column">
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.decay"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.decay</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.num_updates"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.num_updates</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.shadow_params"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.shadow_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.collected_params"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.collected_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage._params_refs"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage._params_refs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage._get_parameters"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage._get_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.update"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.update()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.copy_to"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.copy_to()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.store"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.store()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.restore"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.restore()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.state_dict"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.state_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.load_state_dict"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.load_state_dict()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.modules.exponential_moving_average">
+<span id="core-modules-exponential-moving-average"></span><h1>core.modules.exponential_moving_average<a class="headerlink" href="#module-core.modules.exponential_moving_average" title="Link to this heading">#</a></h1>
+<p>Copied (and improved) from:
+<a class="github reference external" href="https://github.com/fadel/pytorch_ema/blob/master/torch_ema/ema.py">fadel/pytorch_ema</a> (MIT license)</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.exponential_moving_average.ExponentialMovingAverage" title="core.modules.exponential_moving_average.ExponentialMovingAverage"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExponentialMovingAverage</span></code></a></p></td>
+<td><p>Maintains (exponential) moving average of a set of parameters.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.exponential_moving_average.</span></span><span class="sig-name descname"><span class="pre">ExponentialMovingAverage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.nn.Parameter</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_num_updates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage" title="Link to this definition">#</a></dt>
+<dd><p>Maintains (exponential) moving average of a set of parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>parameters</strong> – Iterable of <cite>torch.nn.Parameter</cite> (typically from
+<cite>model.parameters()</cite>).</p></li>
+<li><p><strong>decay</strong> – The exponential decay.</p></li>
+<li><p><strong>use_num_updates</strong> – Whether to use number of updates when computing
+averages.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.decay">
+<span class="sig-name descname"><span class="pre">decay</span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.decay" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.num_updates">
+<span class="sig-name descname"><span class="pre">num_updates</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.num_updates" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.shadow_params">
+<span class="sig-name descname"><span class="pre">shadow_params</span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.shadow_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.collected_params">
+<span class="sig-name descname"><span class="pre">collected_params</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.nn.Parameter</span><span class="p"><span class="pre">]</span></span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.collected_params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage._params_refs">
+<span class="sig-name descname"><span class="pre">_params_refs</span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage._params_refs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage._get_parameters">
+<span class="sig-name descname"><span class="pre">_get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.nn.Parameter</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">collections.abc.Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.nn.Parameter</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage._get_parameters" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.nn.Parameter</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.update" title="Link to this definition">#</a></dt>
+<dd><p>Update currently maintained parameters.</p>
+<p>Call this every time the parameters are updated, such as the result of
+the <cite>optimizer.step()</cite> call.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>parameters</strong> – Iterable of <cite>torch.nn.Parameter</cite>; usually the same set of
+parameters used to initialize this object. If <cite>None</cite>, the
+parameters with which this <cite>ExponentialMovingAverage</cite> was
+initialized will be used.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.copy_to">
+<span class="sig-name descname"><span class="pre">copy_to</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.nn.Parameter</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.copy_to" title="Link to this definition">#</a></dt>
+<dd><p>Copy current parameters into given collection of parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>parameters</strong> – Iterable of <cite>torch.nn.Parameter</cite>; the parameters to be
+updated with the stored moving averages. If <cite>None</cite>, the
+parameters with which this <cite>ExponentialMovingAverage</cite> was
+initialized will be used.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.store">
+<span class="sig-name descname"><span class="pre">store</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.nn.Parameter</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.store" title="Link to this definition">#</a></dt>
+<dd><p>Save the current parameters for restoring later.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>parameters</strong> – Iterable of <cite>torch.nn.Parameter</cite>; the parameters to be
+temporarily stored. If <cite>None</cite>, the parameters of with which this
+<cite>ExponentialMovingAverage</cite> was initialized will be used.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.restore">
+<span class="sig-name descname"><span class="pre">restore</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.nn.Parameter</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.restore" title="Link to this definition">#</a></dt>
+<dd><p>Restore the parameters stored with the <cite>store</cite> method.
+Useful to validate the model with EMA parameters without affecting the
+original optimization process. Store the parameters before the
+<cite>copy_to</cite> method. After validation (or model saving), use this to
+restore the former parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>parameters</strong> – Iterable of <cite>torch.nn.Parameter</cite>; the parameters to be
+updated with the stored parameters. If <cite>None</cite>, the
+parameters with which this <cite>ExponentialMovingAverage</cite> was
+initialized will be used.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.state_dict">
+<span class="sig-name descname"><span class="pre">state_dict</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.state_dict" title="Link to this definition">#</a></dt>
+<dd><p>Returns the state of the ExponentialMovingAverage as a dict.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.exponential_moving_average.ExponentialMovingAverage.load_state_dict">
+<span class="sig-name descname"><span class="pre">load_state_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.load_state_dict" title="Link to this definition">#</a></dt>
+<dd><p>Loads the ExponentialMovingAverage state.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>state_dict</strong> (<em>dict</em>) – EMA state. Should be an object returned
+from a call to <a class="reference internal" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.state_dict" title="core.modules.exponential_moving_average.ExponentialMovingAverage.state_dict"><code class="xref py py-meth docutils literal notranslate"><span class="pre">state_dict()</span></code></a>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.decay"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.decay</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.num_updates"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.num_updates</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.shadow_params"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.shadow_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.collected_params"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.collected_params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage._params_refs"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage._params_refs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage._get_parameters"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage._get_parameters()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.update"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.update()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.copy_to"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.copy_to()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.store"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.store()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.restore"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.restore()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.state_dict"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.state_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.exponential_moving_average.ExponentialMovingAverage.load_state_dict"><code class="docutils literal notranslate"><span class="pre">ExponentialMovingAverage.load_state_dict()</span></code></a></li>
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+    <h1>core.modules.loss</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MAELoss"><code class="docutils literal notranslate"><span class="pre">MAELoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MAELoss.loss"><code class="docutils literal notranslate"><span class="pre">MAELoss.loss</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MAELoss.forward"><code class="docutils literal notranslate"><span class="pre">MAELoss.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MSELoss"><code class="docutils literal notranslate"><span class="pre">MSELoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MSELoss.loss"><code class="docutils literal notranslate"><span class="pre">MSELoss.loss</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MSELoss.forward"><code class="docutils literal notranslate"><span class="pre">MSELoss.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.PerAtomMAELoss"><code class="docutils literal notranslate"><span class="pre">PerAtomMAELoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.PerAtomMAELoss.loss"><code class="docutils literal notranslate"><span class="pre">PerAtomMAELoss.loss</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.PerAtomMAELoss.forward"><code class="docutils literal notranslate"><span class="pre">PerAtomMAELoss.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.L2NormLoss"><code class="docutils literal notranslate"><span class="pre">L2NormLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.L2NormLoss.forward"><code class="docutils literal notranslate"><span class="pre">L2NormLoss.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss"><code class="docutils literal notranslate"><span class="pre">DDPLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.loss_fn"><code class="docutils literal notranslate"><span class="pre">DDPLoss.loss_fn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.reduction"><code class="docutils literal notranslate"><span class="pre">DDPLoss.reduction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.reduction_map"><code class="docutils literal notranslate"><span class="pre">DDPLoss.reduction_map</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.sum"><code class="docutils literal notranslate"><span class="pre">DDPLoss.sum()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss._ddp_mean"><code class="docutils literal notranslate"><span class="pre">DDPLoss._ddp_mean()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.mean"><code class="docutils literal notranslate"><span class="pre">DDPLoss.mean()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss._reduction"><code class="docutils literal notranslate"><span class="pre">DDPLoss._reduction()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.forward"><code class="docutils literal notranslate"><span class="pre">DDPLoss.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.modules.loss">
+<span id="core-modules-loss"></span><h1>core.modules.loss<a class="headerlink" href="#module-core.modules.loss" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.loss.MAELoss" title="core.modules.loss.MAELoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAELoss</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.loss.MSELoss" title="core.modules.loss.MSELoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MSELoss</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.loss.PerAtomMAELoss" title="core.modules.loss.PerAtomMAELoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PerAtomMAELoss</span></code></a></p></td>
+<td><p>Simply divide a loss by the number of atoms/nodes in the graph.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.loss.L2NormLoss" title="core.modules.loss.L2NormLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">L2NormLoss</span></code></a></p></td>
+<td><p>Currently this loss is intened to used with vectors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.loss.DDPLoss" title="core.modules.loss.DDPLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DDPLoss</span></code></a></p></td>
+<td><p>This class is a wrapper around a loss function that does a few things</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.loss.MAELoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.loss.</span></span><span class="sig-name descname"><span class="pre">MAELoss</span></span><a class="headerlink" href="#core.modules.loss.MAELoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.loss.MAELoss.loss">
+<span class="sig-name descname"><span class="pre">loss</span></span><a class="headerlink" href="#core.modules.loss.MAELoss.loss" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.loss.MAELoss.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pred</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">natoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.loss.MAELoss.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.loss.MSELoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.loss.</span></span><span class="sig-name descname"><span class="pre">MSELoss</span></span><a class="headerlink" href="#core.modules.loss.MSELoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.loss.MSELoss.loss">
+<span class="sig-name descname"><span class="pre">loss</span></span><a class="headerlink" href="#core.modules.loss.MSELoss.loss" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.loss.MSELoss.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pred</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">natoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.loss.MSELoss.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.loss.PerAtomMAELoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.loss.</span></span><span class="sig-name descname"><span class="pre">PerAtomMAELoss</span></span><a class="headerlink" href="#core.modules.loss.PerAtomMAELoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Simply divide a loss by the number of atoms/nodes in the graph.
+Current this loss is intened to used with scalar values, not vectors or higher tensors.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.loss.PerAtomMAELoss.loss">
+<span class="sig-name descname"><span class="pre">loss</span></span><a class="headerlink" href="#core.modules.loss.PerAtomMAELoss.loss" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.loss.PerAtomMAELoss.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pred</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">natoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.loss.PerAtomMAELoss.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.loss.L2NormLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.loss.</span></span><span class="sig-name descname"><span class="pre">L2NormLoss</span></span><a class="headerlink" href="#core.modules.loss.L2NormLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Currently this loss is intened to used with vectors.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.loss.L2NormLoss.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pred</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">natoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.loss.L2NormLoss.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.loss.DDPLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.loss.</span></span><span class="sig-name descname"><span class="pre">DDPLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Literal</span><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.loss.DDPLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>This class is a wrapper around a loss function that does a few things
+like handle nans and importantly ensures the reduction is done
+correctly for DDP. The main issue is that DDP averages gradients
+over replicas — this only works out of the box if the dimension
+you are averaging over is completely consistent across all replicas.
+In our case, that is not true for the number of atoms per batch and
+there are edge cases when the batch size differs between replicas
+e.g. if the dataset size is not divisible by the batch_size.</p>
+<p>Scalars are relatively straightforward to handle, but vectors and higher tensors
+are a bit trickier. Below are two examples of forces.</p>
+<p>Forces input: [Nx3] target: [Nx3]
+Forces are a vector of length 3 (x,y,z) for each atom.
+Number of atoms per batch (N) is different for each DDP replica.</p>
+<p>MSE example:
+#### Local loss computation ####
+local_loss = MSELoss(input, target) -&gt; [Nx3]
+num_samples = local_loss.numel() -&gt; [Nx3]
+local_loss = sum(local_loss [Nx3]) -&gt; [1] sum reduces the loss to a scalar
+global_samples = all_reduce(num_samples) -&gt; [N0x3 + N1x3 + N2x3 + …] = [1] where N0 is the number of atoms on replica 0
+local_loss = local_loss * world_size / global_samples -&gt; [1]
+#### Global loss computation ####
+global_loss = sum(local_loss / world_size) -&gt; [1]
+== sum(local_loss / global_samples) # this is the desired corrected mean</p>
+<p>Norm example:
+#### Local loss computation ####
+local_loss = L2MAELoss(input, target) -&gt; [N]
+num_samples = local_loss.numel() -&gt; [N]
+local_loss = sum(local_loss [N]) -&gt; [1] sum reduces the loss to a scalar
+global_samples = all_reduce(num_samples) -&gt; [N0 + N1 + N2 + …] = [1] where N0 is the number of atoms on replica 0
+local_loss = local_loss * world_size / global_samples -&gt; [1]
+#### Global loss computation ####
+global_loss = sum(local_loss / world_size) -&gt; [1]
+== sum(local_loss / global_samples) # this is the desired corrected mean</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.loss.DDPLoss.loss_fn">
+<span class="sig-name descname"><span class="pre">loss_fn</span></span><a class="headerlink" href="#core.modules.loss.DDPLoss.loss_fn" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.loss.DDPLoss.reduction">
+<span class="sig-name descname"><span class="pre">reduction</span></span><a class="headerlink" href="#core.modules.loss.DDPLoss.reduction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.loss.DDPLoss.reduction_map">
+<span class="sig-name descname"><span class="pre">reduction_map</span></span><a class="headerlink" href="#core.modules.loss.DDPLoss.reduction_map" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.loss.DDPLoss.sum">
+<span class="sig-name descname"><span class="pre">sum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">natoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.loss.DDPLoss.sum" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.loss.DDPLoss._ddp_mean">
+<span class="sig-name descname"><span class="pre">_ddp_mean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.loss.DDPLoss._ddp_mean" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.loss.DDPLoss.mean">
+<span class="sig-name descname"><span class="pre">mean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">natoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.loss.DDPLoss.mean" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.loss.DDPLoss._reduction">
+<span class="sig-name descname"><span class="pre">_reduction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">natoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.loss.DDPLoss._reduction" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.loss.DDPLoss.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">natoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.loss.DDPLoss.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MAELoss"><code class="docutils literal notranslate"><span class="pre">MAELoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MAELoss.loss"><code class="docutils literal notranslate"><span class="pre">MAELoss.loss</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MAELoss.forward"><code class="docutils literal notranslate"><span class="pre">MAELoss.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MSELoss"><code class="docutils literal notranslate"><span class="pre">MSELoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MSELoss.loss"><code class="docutils literal notranslate"><span class="pre">MSELoss.loss</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.MSELoss.forward"><code class="docutils literal notranslate"><span class="pre">MSELoss.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.PerAtomMAELoss"><code class="docutils literal notranslate"><span class="pre">PerAtomMAELoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.PerAtomMAELoss.loss"><code class="docutils literal notranslate"><span class="pre">PerAtomMAELoss.loss</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.PerAtomMAELoss.forward"><code class="docutils literal notranslate"><span class="pre">PerAtomMAELoss.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.L2NormLoss"><code class="docutils literal notranslate"><span class="pre">L2NormLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.L2NormLoss.forward"><code class="docutils literal notranslate"><span class="pre">L2NormLoss.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss"><code class="docutils literal notranslate"><span class="pre">DDPLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.loss_fn"><code class="docutils literal notranslate"><span class="pre">DDPLoss.loss_fn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.reduction"><code class="docutils literal notranslate"><span class="pre">DDPLoss.reduction</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.reduction_map"><code class="docutils literal notranslate"><span class="pre">DDPLoss.reduction_map</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.sum"><code class="docutils literal notranslate"><span class="pre">DDPLoss.sum()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss._ddp_mean"><code class="docutils literal notranslate"><span class="pre">DDPLoss._ddp_mean()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.mean"><code class="docutils literal notranslate"><span class="pre">DDPLoss.mean()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss._reduction"><code class="docutils literal notranslate"><span class="pre">DDPLoss._reduction()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.loss.DDPLoss.forward"><code class="docutils literal notranslate"><span class="pre">DDPLoss.forward()</span></code></a></li>
+</ul>
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new file mode 100644
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+
+<!DOCTYPE html>
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+<html lang="en" data-content_root="../../../../../" >
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+    <h1>core.modules.normalization._load_utils</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization._load_utils._load_check_duplicates"><code class="docutils literal notranslate"><span class="pre">_load_check_duplicates()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization._load_utils._load_from_config"><code class="docutils literal notranslate"><span class="pre">_load_from_config()</span></code></a></li>
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+  <section id="module-core.modules.normalization._load_utils">
+<span id="core-modules-normalization-load-utils"></span><h1>core.modules.normalization._load_utils<a class="headerlink" href="#module-core.modules.normalization._load_utils" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.normalization._load_utils._load_check_duplicates" title="core.modules.normalization._load_utils._load_check_duplicates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_load_check_duplicates</span></code></a>(→ dict[str, torch.nn.Module])</p></td>
+<td><p>Attempt to load a single file with normalizers/element references and check config for duplicate targets.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.normalization._load_utils._load_from_config" title="core.modules.normalization._load_utils._load_from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_load_from_config</span></code></a>(→ dict[str, torch.nn.Module])</p></td>
+<td><p>Load or fit normalizers or element references from config</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.normalization._load_utils._load_check_duplicates">
+<span class="sig-prename descclassname"><span class="pre">core.modules.normalization._load_utils.</span></span><span class="sig-name descname"><span class="pre">_load_check_duplicates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.nn.Module</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.normalization._load_utils._load_check_duplicates" title="Link to this definition">#</a></dt>
+<dd><p>Attempt to load a single file with normalizers/element references and check config for duplicate targets.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> – configuration dictionary</p></li>
+<li><p><strong>name</strong> – Name of module to use for logging</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>dictionary of normalizer or element reference modules</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.normalization._load_utils._load_from_config">
+<span class="sig-prename descclassname"><span class="pre">core.modules.normalization._load_utils.</span></span><span class="sig-name descname"><span class="pre">_load_from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_fun</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.utils.data.Dataset</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.nn.Module</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">create_fun</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.nn.Module</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.utils.data.Dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">fit_kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">torch.nn.Module</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.normalization._load_utils._load_from_config" title="Link to this definition">#</a></dt>
+<dd><p>Load or fit normalizers or element references from config</p>
+<p>If a fit is done, a fitted key with value true is added to the config to avoid re-fitting
+once a checkpoint has been saved.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> – configuration dictionary</p></li>
+<li><p><strong>name</strong> – Name of module to use for logging</p></li>
+<li><p><strong>fit_fun</strong> – Function to fit modules</p></li>
+<li><p><strong>create_fun</strong> – Function to create a module from file</p></li>
+<li><p><strong>checkpoint_dir</strong> – directory to save modules. If not given, modules won’t be saved.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>dictionary of normalizer or element reference modules</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.LinearReferences"><code class="docutils literal notranslate"><span class="pre">LinearReferences</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.LinearReferences._apply_refs"><code class="docutils literal notranslate"><span class="pre">LinearReferences._apply_refs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.LinearReferences.dereference"><code class="docutils literal notranslate"><span class="pre">LinearReferences.dereference()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.LinearReferences.forward"><code class="docutils literal notranslate"><span class="pre">LinearReferences.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.create_element_references"><code class="docutils literal notranslate"><span class="pre">create_element_references()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.fit_linear_references"><code class="docutils literal notranslate"><span class="pre">fit_linear_references()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.load_references_from_config"><code class="docutils literal notranslate"><span class="pre">load_references_from_config()</span></code></a></li>
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+                <article class="bd-article">
+                  
+  <section id="module-core.modules.normalization.element_references">
+<span id="core-modules-normalization-element-references"></span><h1>core.modules.normalization.element_references<a class="headerlink" href="#module-core.modules.normalization.element_references" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.normalization.element_references.LinearReferences" title="core.modules.normalization.element_references.LinearReferences"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LinearReferences</span></code></a></p></td>
+<td><p>Represents an elemental linear references model for a target property.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.normalization.element_references.create_element_references" title="core.modules.normalization.element_references.create_element_references"><code class="xref py py-obj docutils literal notranslate"><span class="pre">create_element_references</span></code></a>(→ LinearReferences)</p></td>
+<td><p>Create an element reference module.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.normalization.element_references.fit_linear_references" title="core.modules.normalization.element_references.fit_linear_references"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fit_linear_references</span></code></a>(→ dict[str, LinearReferences])</p></td>
+<td><p>Fit a set linear references for a list of targets using a given number of batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.normalization.element_references.load_references_from_config" title="core.modules.normalization.element_references.load_references_from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_references_from_config</span></code></a>(→ dict[str, LinearReferences])</p></td>
+<td><p>Create a dictionary with element references from a config.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.normalization.element_references.LinearReferences">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.normalization.element_references.</span></span><span class="sig-name descname"><span class="pre">LinearReferences</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">element_references</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">118</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.normalization.element_references.LinearReferences" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Represents an elemental linear references model for a target property.</p>
+<p>In an elemental reference associates a value with each chemical element present in the dataset.
+Elemental references define a chemical composition model, i.e. a rough approximation of a target
+property (energy) using elemental references is done by summing the elemental references multiplied
+by the number of times the corresponding element is present.</p>
+<dl class="simple">
+<dt>Elemental references energies can be taken as:</dt><dd><ul class="simple">
+<li><p>the energy of a chemical species in its elemental state
+(i.e. lowest energy polymorph of single element crystal structures for solids)</p></li>
+<li><p>fitting a linear model to a dataset, where the features are the counts of each element in each data point.
+see the function fit_linear references below for details</p></li>
+</ul>
+</dd>
+</dl>
+<p>Training GNNs to predict the difference between DFT and the predictions of a chemical composition
+model represent a useful normalization scheme that can improve model accuracy. See for example the
+“Alternative reference scheme” section of the OC22 manuscript: <a class="reference external" href="https://arxiv.org/pdf/2206.08917">https://arxiv.org/pdf/2206.08917</a></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.normalization.element_references.LinearReferences._apply_refs">
+<span class="sig-name descname"><span class="pre">_apply_refs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sign</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reshaped</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.normalization.element_references.LinearReferences._apply_refs" title="Link to this definition">#</a></dt>
+<dd><p>Apply references batch-wise</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.normalization.element_references.LinearReferences.dereference">
+<span class="sig-name descname"><span class="pre">dereference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reshaped</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.normalization.element_references.LinearReferences.dereference" title="Link to this definition">#</a></dt>
+<dd><p>Remove linear references</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.normalization.element_references.LinearReferences.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reshaped</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.normalization.element_references.LinearReferences.forward" title="Link to this definition">#</a></dt>
+<dd><p>Add linear references</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.normalization.element_references.create_element_references">
+<span class="sig-prename descclassname"><span class="pre">core.modules.normalization.element_references.</span></span><span class="sig-name descname"><span class="pre">create_element_references</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#core.modules.normalization.element_references.LinearReferences" title="core.modules.normalization.element_references.LinearReferences"><span class="pre">LinearReferences</span></a></span></span><a class="headerlink" href="#core.modules.normalization.element_references.create_element_references" title="Link to this definition">#</a></dt>
+<dd><p>Create an element reference module.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>type</strong> (<em>str</em>) – type of reference (only linear implemented)</p></li>
+<li><p><strong>file</strong> (<em>str</em><em> or </em><em>Path</em>) – path to pt or npz file</p></li>
+<li><p><strong>state_dict</strong> (<em>dict</em>) – a state dict of a element reference module</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>LinearReference</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.normalization.element_references.fit_linear_references">
+<span class="sig-prename descclassname"><span class="pre">core.modules.normalization.element_references.</span></span><span class="sig-name descname"><span class="pre">fit_linear_references</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.utils.data.Dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_batches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_num_elements</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">118</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">driver</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#core.modules.normalization.element_references.LinearReferences" title="core.modules.normalization.element_references.LinearReferences"><span class="pre">LinearReferences</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.normalization.element_references.fit_linear_references" title="Link to this definition">#</a></dt>
+<dd><p>Fit a set linear references for a list of targets using a given number of batches.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>targets</strong> – list of target names</p></li>
+<li><p><strong>dataset</strong> – data set to fit linear references with</p></li>
+<li><p><strong>batch_size</strong> – size of batch</p></li>
+<li><p><strong>num_batches</strong> – number of batches to use in fit. If not given will use all batches</p></li>
+<li><p><strong>num_workers</strong> – number of workers to use in data loader.
+Note setting num_workers &gt; 1 leads to finicky multiprocessing issues when using this function
+in distributed mode. The issue has to do with pickling the functions in load_references_from_config
+see function below…</p></li>
+<li><p><strong>max_num_elements</strong> – max number of elements in dataset. If not given will use an ambitious value of 118</p></li>
+<li><p><strong>log_metrics</strong> – if true will compute MAE, RMSE and R2 score of fit and log.</p></li>
+<li><p><strong>use_numpy</strong> – use numpy.linalg.lstsq instead of torch. This tends to give better solutions.</p></li>
+<li><p><strong>driver</strong> – backend used to solve linear system. See torch.linalg.lstsq docs. Ignored if use_numpy=True</p></li>
+<li><p><strong>shuffle</strong> – whether to shuffle when loading the dataset</p></li>
+<li><p><strong>seed</strong> – random seed used to shuffle the sampler if shuffle=True</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>dict of fitted LinearReferences objects</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.normalization.element_references.load_references_from_config">
+<span class="sig-prename descclassname"><span class="pre">core.modules.normalization.element_references.</span></span><span class="sig-name descname"><span class="pre">load_references_from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.utils.data.Dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#core.modules.normalization.element_references.LinearReferences" title="core.modules.normalization.element_references.LinearReferences"><span class="pre">LinearReferences</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.normalization.element_references.load_references_from_config" title="Link to this definition">#</a></dt>
+<dd><p>Create a dictionary with element references from a config.</p>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.LinearReferences"><code class="docutils literal notranslate"><span class="pre">LinearReferences</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.LinearReferences._apply_refs"><code class="docutils literal notranslate"><span class="pre">LinearReferences._apply_refs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.LinearReferences.dereference"><code class="docutils literal notranslate"><span class="pre">LinearReferences.dereference()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.LinearReferences.forward"><code class="docutils literal notranslate"><span class="pre">LinearReferences.forward()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.create_element_references"><code class="docutils literal notranslate"><span class="pre">create_element_references()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.fit_linear_references"><code class="docutils literal notranslate"><span class="pre">fit_linear_references()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.element_references.load_references_from_config"><code class="docutils literal notranslate"><span class="pre">load_references_from_config()</span></code></a></li>
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+    <h1>core.modules.normalization.normalizer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer"><code class="docutils literal notranslate"><span class="pre">Normalizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer.norm"><code class="docutils literal notranslate"><span class="pre">Normalizer.norm()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer.denorm"><code class="docutils literal notranslate"><span class="pre">Normalizer.denorm()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer.forward"><code class="docutils literal notranslate"><span class="pre">Normalizer.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer.load_state_dict"><code class="docutils literal notranslate"><span class="pre">Normalizer.load_state_dict()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.create_normalizer"><code class="docutils literal notranslate"><span class="pre">create_normalizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.fit_normalizers"><code class="docutils literal notranslate"><span class="pre">fit_normalizers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.load_normalizers_from_config"><code class="docutils literal notranslate"><span class="pre">load_normalizers_from_config()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.modules.normalization.normalizer">
+<span id="core-modules-normalization-normalizer"></span><h1>core.modules.normalization.normalizer<a class="headerlink" href="#module-core.modules.normalization.normalizer" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.normalization.normalizer.Normalizer" title="core.modules.normalization.normalizer.Normalizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Normalizer</span></code></a></p></td>
+<td><p>Normalize/denormalize a tensor and optionally add a atom reference offset.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.normalization.normalizer.create_normalizer" title="core.modules.normalization.normalizer.create_normalizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">create_normalizer</span></code></a>(→ Normalizer)</p></td>
+<td><p>Build a target data normalizers with optional atom ref</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.normalization.normalizer.fit_normalizers" title="core.modules.normalization.normalizer.fit_normalizers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fit_normalizers</span></code></a>(→ dict[str, Normalizer])</p></td>
+<td><p>Estimate mean and rmsd from data to create normalizers</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.normalization.normalizer.load_normalizers_from_config" title="core.modules.normalization.normalizer.load_normalizers_from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_normalizers_from_config</span></code></a>(→ dict[str, Normalizer])</p></td>
+<td><p>Create a dictionary with element references from a config.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.normalization.normalizer.Normalizer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.normalization.normalizer.</span></span><span class="sig-name descname"><span class="pre">Normalizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rmsd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.normalization.normalizer.Normalizer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Normalize/denormalize a tensor and optionally add a atom reference offset.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.normalization.normalizer.Normalizer.norm">
+<span class="sig-name descname"><span class="pre">norm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.normalization.normalizer.Normalizer.norm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.normalization.normalizer.Normalizer.denorm">
+<span class="sig-name descname"><span class="pre">denorm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">normed_tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.normalization.normalizer.Normalizer.denorm" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.normalization.normalizer.Normalizer.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">normed_tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.normalization.normalizer.Normalizer.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.normalization.normalizer.Normalizer.load_state_dict">
+<span class="sig-name descname"><span class="pre">load_state_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Mapping</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">strict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">assign</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.normalization.normalizer.Normalizer.load_state_dict" title="Link to this definition">#</a></dt>
+<dd><p>Copy parameters and buffers from <code class="xref py py-attr docutils literal notranslate"><span class="pre">state_dict</span></code> into this module and its descendants.</p>
+<p>If <code class="xref py py-attr docutils literal notranslate"><span class="pre">strict</span></code> is <code class="docutils literal notranslate"><span class="pre">True</span></code>, then
+the keys of <code class="xref py py-attr docutils literal notranslate"><span class="pre">state_dict</span></code> must exactly match the keys returned
+by this module’s <code class="xref py py-meth docutils literal notranslate"><span class="pre">state_dict()</span></code> function.</p>
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>If <code class="xref py py-attr docutils literal notranslate"><span class="pre">assign</span></code> is <code class="docutils literal notranslate"><span class="pre">True</span></code> the optimizer must be created after
+the call to <a class="reference internal" href="#core.modules.normalization.normalizer.Normalizer.load_state_dict" title="core.modules.normalization.normalizer.Normalizer.load_state_dict"><code class="xref py py-attr docutils literal notranslate"><span class="pre">load_state_dict</span></code></a> unless
+<code class="xref py py-func docutils literal notranslate"><span class="pre">get_swap_module_params_on_conversion()</span></code> is <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>state_dict</strong> (<em>dict</em>) – a dict containing parameters and
+persistent buffers.</p></li>
+<li><p><strong>strict</strong> (<em>bool</em><em>, </em><em>optional</em>) – whether to strictly enforce that the keys
+in <code class="xref py py-attr docutils literal notranslate"><span class="pre">state_dict</span></code> match the keys returned by this module’s
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">state_dict()</span></code> function. Default: <code class="docutils literal notranslate"><span class="pre">True</span></code></p></li>
+<li><p><strong>assign</strong> (<em>bool</em><em>, </em><em>optional</em>) – When <code class="docutils literal notranslate"><span class="pre">False</span></code>, the properties of the tensors
+in the current module are preserved while when <code class="docutils literal notranslate"><span class="pre">True</span></code>, the
+properties of the Tensors in the state dict are preserved. The only
+exception is the <code class="docutils literal notranslate"><span class="pre">requires_grad</span></code> field of <code class="xref py py-class docutils literal notranslate">
+<span class="pre">Default:</span> <span class="pre">``False`</span></code></p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><dl class="simple">
+<dt><strong>missing_keys</strong> is a list of str containing any keys that are expected</dt><dd><p>by this module but missing from the provided <code class="docutils literal notranslate"><span class="pre">state_dict</span></code>.</p>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt><strong>unexpected_keys</strong> is a list of str containing the keys that are not</dt><dd><p>expected by this module but present in the provided <code class="docutils literal notranslate"><span class="pre">state_dict</span></code>.</p>
+</dd>
+</dl>
+</li>
+</ul>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p><code class="docutils literal notranslate"><span class="pre">NamedTuple</span></code> with <code class="docutils literal notranslate"><span class="pre">missing_keys</span></code> and <code class="docutils literal notranslate"><span class="pre">unexpected_keys</span></code> fields</p>
+</dd>
+</dl>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>If a parameter or buffer is registered as <code class="docutils literal notranslate"><span class="pre">None</span></code> and its corresponding key
+exists in <code class="xref py py-attr docutils literal notranslate"><span class="pre">state_dict</span></code>, <a class="reference internal" href="#core.modules.normalization.normalizer.Normalizer.load_state_dict" title="core.modules.normalization.normalizer.Normalizer.load_state_dict"><code class="xref py py-meth docutils literal notranslate"><span class="pre">load_state_dict()</span></code></a> will raise a
+<code class="docutils literal notranslate"><span class="pre">RuntimeError</span></code>.</p>
+</div>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.normalization.normalizer.create_normalizer">
+<span class="sig-prename descclassname"><span class="pre">core.modules.normalization.normalizer.</span></span><span class="sig-name descname"><span class="pre">create_normalizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rmsd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdev</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#core.modules.normalization.normalizer.Normalizer" title="core.modules.normalization.normalizer.Normalizer"><span class="pre">Normalizer</span></a></span></span><a class="headerlink" href="#core.modules.normalization.normalizer.create_normalizer" title="Link to this definition">#</a></dt>
+<dd><p>Build a target data normalizers with optional atom ref</p>
+<p>Only one of file, state_dict, tensor, or (mean and rmsd) will be used to create a normalizer.
+If more than one set of inputs are given priority will be given following the order in which they are listed above.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file</strong> (<em>str</em><em> or </em><em>Path</em>) – path to pt or npz file.</p></li>
+<li><p><strong>state_dict</strong> (<em>dict</em>) – a state dict for Normalizer module</p></li>
+<li><p><strong>tensor</strong> (<em>Tensor</em>) – a tensor with target values used to compute mean and std</p></li>
+<li><p><strong>mean</strong> (<em>float</em><em> | </em><em>Tensor</em>) – mean of target data</p></li>
+<li><p><strong>rmsd</strong> (<em>float</em><em> | </em><em>Tensor</em>) – rmsd of target data, rmsd from mean = stdev, rmsd from 0 = rms</p></li>
+<li><p><strong>stdev</strong> – standard deviation (deprecated, use rmsd instead)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Normalizer</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.normalization.normalizer.fit_normalizers">
+<span class="sig-prename descclassname"><span class="pre">core.modules.normalization.normalizer.</span></span><span class="sig-name descname"><span class="pre">fit_normalizers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.utils.data.Dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">override_values</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rmsd_correction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">element_references</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_batches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#core.modules.normalization.normalizer.Normalizer" title="core.modules.normalization.normalizer.Normalizer"><span class="pre">Normalizer</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.normalization.normalizer.fit_normalizers" title="Link to this definition">#</a></dt>
+<dd><p>Estimate mean and rmsd from data to create normalizers</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>targets</strong> – list of target names</p></li>
+<li><p><strong>dataset</strong> – data set to fit linear references with</p></li>
+<li><p><strong>batch_size</strong> – size of batch</p></li>
+<li><p><strong>override_values</strong> – dictionary with target names and values to override. i.e. {“forces”: {“mean”: 0.0}} will set
+the forces mean to zero.</p></li>
+<li><p><strong>rmsd_correction</strong> – correction to use when computing mean in std/rmsd. See docs for torch.std.
+If not given, will always use 0 when mean == 0, and 1 otherwise.</p></li>
+<li><p><strong>element_references</strong></p></li>
+<li><p><strong>num_batches</strong> – number of batches to use in fit. If not given will use all batches</p></li>
+<li><p><strong>num_workers</strong> – number of workers to use in data loader
+Note setting num_workers &gt; 1 leads to finicky multiprocessing issues when using this function
+in distributed mode. The issue has to do with pickling the functions in load_normalizers_from_config
+see function below…</p></li>
+<li><p><strong>shuffle</strong> – whether to shuffle when loading the dataset</p></li>
+<li><p><strong>seed</strong> – random seed used to shuffle the sampler if shuffle=True</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>dict of normalizer objects</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.normalization.normalizer.load_normalizers_from_config">
+<span class="sig-prename descclassname"><span class="pre">core.modules.normalization.normalizer.</span></span><span class="sig-name descname"><span class="pre">load_normalizers_from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.utils.data.Dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">element_references</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">fairchem.core.modules.normalization.element_references.LinearReferences</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#core.modules.normalization.normalizer.Normalizer" title="core.modules.normalization.normalizer.Normalizer"><span class="pre">Normalizer</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#core.modules.normalization.normalizer.load_normalizers_from_config" title="Link to this definition">#</a></dt>
+<dd><p>Create a dictionary with element references from a config.</p>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
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+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/modules/normalization/normalizer"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer"><code class="docutils literal notranslate"><span class="pre">Normalizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer.norm"><code class="docutils literal notranslate"><span class="pre">Normalizer.norm()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer.denorm"><code class="docutils literal notranslate"><span class="pre">Normalizer.denorm()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer.forward"><code class="docutils literal notranslate"><span class="pre">Normalizer.forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.Normalizer.load_state_dict"><code class="docutils literal notranslate"><span class="pre">Normalizer.load_state_dict()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.create_normalizer"><code class="docutils literal notranslate"><span class="pre">create_normalizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.fit_normalizers"><code class="docutils literal notranslate"><span class="pre">fit_normalizers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.normalization.normalizer.load_normalizers_from_config"><code class="docutils literal notranslate"><span class="pre">load_normalizers_from_config()</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.compat.ScaleDict"><code class="docutils literal notranslate"><span class="pre">ScaleDict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.compat._load_scale_dict"><code class="docutils literal notranslate"><span class="pre">_load_scale_dict()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.compat.load_scales_compat"><code class="docutils literal notranslate"><span class="pre">load_scales_compat()</span></code></a></li>
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+                  
+  <section id="module-core.modules.scaling.compat">
+<span id="core-modules-scaling-compat"></span><h1>core.modules.scaling.compat<a class="headerlink" href="#module-core.modules.scaling.compat" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scaling.compat.ScaleDict" title="core.modules.scaling.compat.ScaleDict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaleDict</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scaling.compat._load_scale_dict" title="core.modules.scaling.compat._load_scale_dict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_load_scale_dict</span></code></a>(scale_file)</p></td>
+<td><p>Loads scale factors from either:</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.scaling.compat.load_scales_compat" title="core.modules.scaling.compat.load_scales_compat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_scales_compat</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.modules.scaling.compat.ScaleDict">
+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.compat.</span></span><span class="sig-name descname"><span class="pre">ScaleDict</span></span><a class="headerlink" href="#core.modules.scaling.compat.ScaleDict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.scaling.compat._load_scale_dict">
+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.compat.</span></span><span class="sig-name descname"><span class="pre">_load_scale_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ScaleDict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scaling.compat._load_scale_dict" title="Link to this definition">#</a></dt>
+<dd><p>Loads scale factors from either:
+- a JSON file mapping scale factor names to scale values
+- a python dictionary pickled object (loaded using <cite>torch.load</cite>) mapping scale factor names to scale values
+- a dictionary mapping scale factor names to scale values</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.scaling.compat.load_scales_compat">
+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.compat.</span></span><span class="sig-name descname"><span class="pre">load_scales_compat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">module</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ScaleDict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.compat.load_scales_compat" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+    <h1>core.modules.scaling.fit</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.fit._prefilled_input"><code class="docutils literal notranslate"><span class="pre">_prefilled_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.fit._train_batch"><code class="docutils literal notranslate"><span class="pre">_train_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.fit.compute_scaling_factors"><code class="docutils literal notranslate"><span class="pre">compute_scaling_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.fit.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
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+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.modules.scaling.fit">
+<span id="core-modules-scaling-fit"></span><h1>core.modules.scaling.fit<a class="headerlink" href="#module-core.modules.scaling.fit" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scaling.fit.parser" title="core.modules.scaling.fit.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scaling.fit._prefilled_input" title="core.modules.scaling.fit._prefilled_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_prefilled_input</span></code></a>(→ str)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.scaling.fit._train_batch" title="core.modules.scaling.fit._train_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_train_batch</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scaling.fit.compute_scaling_factors" title="core.modules.scaling.fit.compute_scaling_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_scaling_factors</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.scaling.fit._prefilled_input">
+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.fit.</span></span><span class="sig-name descname"><span class="pre">_prefilled_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prompt</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefill</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.modules.scaling.fit._prefilled_input" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.scaling.fit._train_batch">
+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.fit.</span></span><span class="sig-name descname"><span class="pre">_train_batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trainer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.core.trainers.base_trainer.BaseTrainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.fit._train_batch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.scaling.fit.compute_scaling_factors">
+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.fit.</span></span><span class="sig-name descname"><span class="pre">compute_scaling_factors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_batches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.fit.compute_scaling_factors" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.modules.scaling.fit.parser">
+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.fit.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.modules.scaling.fit.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.fit._prefilled_input"><code class="docutils literal notranslate"><span class="pre">_prefilled_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.fit._train_batch"><code class="docutils literal notranslate"><span class="pre">_train_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.fit.compute_scaling_factors"><code class="docutils literal notranslate"><span class="pre">compute_scaling_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.fit.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+    <h1>core.modules.scaling</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor"><code class="docutils literal notranslate"><span class="pre">ScaleFactor</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.name"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.index_fn"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.index_fn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.stats"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.stats</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor._enforce_consistency"><code class="docutils literal notranslate"><span class="pre">ScaleFactor._enforce_consistency()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.fitted"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fitted</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.reset_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.reset_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.set_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.set_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.initialize_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.initialize_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.fit_context_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fit_context_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.fit_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fit_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor._observe"><code class="docutils literal notranslate"><span class="pre">ScaleFactor._observe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.forward"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
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+        </div>
+    </div>
+</div>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.modules.scaling">
+<span id="core-modules-scaling"></span><h1>core.modules.scaling<a class="headerlink" href="#module-core.modules.scaling" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="compat/index.html">core.modules.scaling.compat</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fit/index.html">core.modules.scaling.fit</a></li>
+<li class="toctree-l1"><a class="reference internal" href="scale_factor/index.html">core.modules.scaling.scale_factor</a></li>
+<li class="toctree-l1"><a class="reference internal" href="util/index.html">core.modules.scaling.util</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scaling.ScaleFactor" title="core.modules.scaling.ScaleFactor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaleFactor</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.scaling.</span></span><span class="sig-name descname"><span class="pre">ScaleFactor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_consistency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scaling.ScaleFactor" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.modules.scaling.ScaleFactor.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.modules.scaling.ScaleFactor.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.index_fn">
+<span class="sig-name descname"><span class="pre">index_fn</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">IndexFn</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.modules.scaling.ScaleFactor.index_fn" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.stats">
+<span class="sig-name descname"><span class="pre">stats</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="scale_factor/index.html#core.modules.scaling.scale_factor._Stats" title="core.modules.scaling.scale_factor._Stats"><span class="pre">_Stats</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.modules.scaling.ScaleFactor.stats" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor._enforce_consistency">
+<span class="sig-name descname"><span class="pre">_enforce_consistency</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_local_metadata</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_strict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_missing_keys</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_unexpected_keys</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_error_msgs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.ScaleFactor._enforce_consistency" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.fitted">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">fitted</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><a class="headerlink" href="#core.modules.scaling.ScaleFactor.fitted" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.reset_">
+<span class="sig-name descname"><span class="pre">reset_</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.ScaleFactor.reset_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.set_">
+<span class="sig-name descname"><span class="pre">set_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.ScaleFactor.set_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.initialize_">
+<span class="sig-name descname"><span class="pre">initialize_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index_fn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">IndexFn</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.ScaleFactor.initialize_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.fit_context_">
+<span class="sig-name descname"><span class="pre">fit_context_</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scaling.ScaleFactor.fit_context_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.fit_">
+<span class="sig-name descname"><span class="pre">fit_</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scaling.ScaleFactor.fit_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor._observe">
+<span class="sig-name descname"><span class="pre">_observe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.ScaleFactor._observe" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.ScaleFactor.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.scaling.ScaleFactor.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor"><code class="docutils literal notranslate"><span class="pre">ScaleFactor</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.name"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.index_fn"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.index_fn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.stats"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.stats</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor._enforce_consistency"><code class="docutils literal notranslate"><span class="pre">ScaleFactor._enforce_consistency()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.fitted"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fitted</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.reset_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.reset_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.set_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.set_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.initialize_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.initialize_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.fit_context_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fit_context_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.fit_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fit_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor._observe"><code class="docutils literal notranslate"><span class="pre">ScaleFactor._observe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.ScaleFactor.forward"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
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diff --git a/autoapi/core/modules/scaling/scale_factor/index.html b/autoapi/core/modules/scaling/scale_factor/index.html
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+    <h1>core.modules.scaling.scale_factor</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._Stats"><code class="docutils literal notranslate"><span class="pre">_Stats</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._Stats.variance_in"><code class="docutils literal notranslate"><span class="pre">_Stats.variance_in</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._Stats.variance_out"><code class="docutils literal notranslate"><span class="pre">_Stats.variance_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._Stats.n_samples"><code class="docutils literal notranslate"><span class="pre">_Stats.n_samples</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.IndexFn"><code class="docutils literal notranslate"><span class="pre">IndexFn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._check_consistency"><code class="docutils literal notranslate"><span class="pre">_check_consistency()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor"><code class="docutils literal notranslate"><span class="pre">ScaleFactor</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.name"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.index_fn"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.index_fn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.stats"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.stats</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor._enforce_consistency"><code class="docutils literal notranslate"><span class="pre">ScaleFactor._enforce_consistency()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.fitted"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fitted</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.reset_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.reset_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.set_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.set_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.initialize_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.initialize_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.fit_context_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fit_context_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.fit_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fit_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor._observe"><code class="docutils literal notranslate"><span class="pre">ScaleFactor._observe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.forward"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.modules.scaling.scale_factor">
+<span id="core-modules-scaling-scale-factor"></span><h1>core.modules.scaling.scale_factor<a class="headerlink" href="#module-core.modules.scaling.scale_factor" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scaling.scale_factor.IndexFn" title="core.modules.scaling.scale_factor.IndexFn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">IndexFn</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scaling.scale_factor._Stats" title="core.modules.scaling.scale_factor._Stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_Stats</span></code></a></p></td>
+<td><p>dict() -&gt; new empty dictionary</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.modules.scaling.scale_factor.ScaleFactor" title="core.modules.scaling.scale_factor.ScaleFactor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScaleFactor</span></code></a></p></td>
+<td><p>Base class for all neural network modules.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scaling.scale_factor._check_consistency" title="core.modules.scaling.scale_factor._check_consistency"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_check_consistency</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor._Stats">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.scaling.scale_factor.</span></span><span class="sig-name descname"><span class="pre">_Stats</span></span><a class="headerlink" href="#core.modules.scaling.scale_factor._Stats" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">TypedDict</span></code></p>
+<p>dict() -&gt; new empty dictionary
+dict(mapping) -&gt; new dictionary initialized from a mapping object’s</p>
+<blockquote>
+<div><p>(key, value) pairs</p>
+</div></blockquote>
+<dl>
+<dt>dict(iterable) -&gt; new dictionary initialized as if via:</dt><dd><p>d = {}
+for k, v in iterable:</p>
+<blockquote>
+<div><p>d[k] = v</p>
+</div></blockquote>
+</dd>
+<dt>dict(<a href="#id1"><span class="problematic" id="id2">**</span></a>kwargs) -&gt; new dictionary initialized with the name=value pairs</dt><dd><p>in the keyword argument list.  For example:  dict(one=1, two=2)</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor._Stats.variance_in">
+<span class="sig-name descname"><span class="pre">variance_in</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.modules.scaling.scale_factor._Stats.variance_in" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor._Stats.variance_out">
+<span class="sig-name descname"><span class="pre">variance_out</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#core.modules.scaling.scale_factor._Stats.variance_out" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor._Stats.n_samples">
+<span class="sig-name descname"><span class="pre">n_samples</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#core.modules.scaling.scale_factor._Stats.n_samples" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.IndexFn">
+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.scale_factor.</span></span><span class="sig-name descname"><span class="pre">IndexFn</span></span><a class="headerlink" href="#core.modules.scaling.scale_factor.IndexFn" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor._check_consistency">
+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.scale_factor.</span></span><span class="sig-name descname"><span class="pre">_check_consistency</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">old</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.scale_factor._check_consistency" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.scaling.scale_factor.</span></span><span class="sig-name descname"><span class="pre">ScaleFactor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enforce_consistency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></p>
+<p>Base class for all neural network modules.</p>
+<p>Your models should also subclass this class.</p>
+<p>Modules can also contain other Modules, allowing to nest them in
+a tree structure. You can assign the submodules as regular attributes:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn.functional</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">F</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">Model</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Submodules assigned in this way will be registered, and will have their
+parameters converted too when you call <code class="xref py py-meth docutils literal notranslate"><span class="pre">to()</span></code>, etc.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>As per the example above, an <code class="docutils literal notranslate"><span class="pre">__init__()</span></code> call to the parent class
+must be made before assignment on the child.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Variables<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>training</strong> (<em>bool</em>) – Boolean represents whether this module is in training or
+evaluation mode.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></em><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.scale_factor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.index_fn">
+<span class="sig-name descname"><span class="pre">index_fn</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">IndexFn</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.index_fn" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.stats">
+<span class="sig-name descname"><span class="pre">stats</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#core.modules.scaling.scale_factor._Stats" title="core.modules.scaling.scale_factor._Stats"><span class="pre">_Stats</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.stats" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor._enforce_consistency">
+<span class="sig-name descname"><span class="pre">_enforce_consistency</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_local_metadata</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_strict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_missing_keys</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_unexpected_keys</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_error_msgs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor._enforce_consistency" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.fitted">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">fitted</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.fitted" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.reset_">
+<span class="sig-name descname"><span class="pre">reset_</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.reset_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.set_">
+<span class="sig-name descname"><span class="pre">set_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">torch.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.set_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.initialize_">
+<span class="sig-name descname"><span class="pre">initialize_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index_fn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">IndexFn</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.initialize_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.fit_context_">
+<span class="sig-name descname"><span class="pre">fit_context_</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.fit_context_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.fit_">
+<span class="sig-name descname"><span class="pre">fit_</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.fit_" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor._observe">
+<span class="sig-name descname"><span class="pre">_observe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor._observe" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scaling.scale_factor.ScaleFactor.forward">
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.modules.scaling.scale_factor.ScaleFactor.forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._Stats"><code class="docutils literal notranslate"><span class="pre">_Stats</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._Stats.variance_in"><code class="docutils literal notranslate"><span class="pre">_Stats.variance_in</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._Stats.variance_out"><code class="docutils literal notranslate"><span class="pre">_Stats.variance_out</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._Stats.n_samples"><code class="docutils literal notranslate"><span class="pre">_Stats.n_samples</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.IndexFn"><code class="docutils literal notranslate"><span class="pre">IndexFn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor._check_consistency"><code class="docutils literal notranslate"><span class="pre">_check_consistency()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor"><code class="docutils literal notranslate"><span class="pre">ScaleFactor</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.scale_factor"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.scale_factor</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.name"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.index_fn"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.index_fn</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.stats"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.stats</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor._enforce_consistency"><code class="docutils literal notranslate"><span class="pre">ScaleFactor._enforce_consistency()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.fitted"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fitted</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.reset_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.reset_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.set_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.set_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.initialize_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.initialize_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.fit_context_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fit_context_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.fit_"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.fit_()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor._observe"><code class="docutils literal notranslate"><span class="pre">ScaleFactor._observe()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scaling.scale_factor.ScaleFactor.forward"><code class="docutils literal notranslate"><span class="pre">ScaleFactor.forward()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+<span id="core-modules-scaling-util"></span><h1>core.modules.scaling.util<a class="headerlink" href="#module-core.modules.scaling.util" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
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+<td><p></p></td>
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+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
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+<span class="sig-prename descclassname"><span class="pre">core.modules.scaling.util.</span></span><span class="sig-name descname"><span class="pre">ensure_fitted</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">module</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.nn.Module</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">warn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scaling.util.ensure_fitted" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
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+    <h1>core.modules.scheduler</h1>
+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler"><code class="docutils literal notranslate"><span class="pre">LRScheduler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler.optimizer"><code class="docutils literal notranslate"><span class="pre">LRScheduler.optimizer</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler.config"><code class="docutils literal notranslate"><span class="pre">LRScheduler.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler.step"><code class="docutils literal notranslate"><span class="pre">LRScheduler.step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler.filter_kwargs"><code class="docutils literal notranslate"><span class="pre">LRScheduler.filter_kwargs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler.get_lr"><code class="docutils literal notranslate"><span class="pre">LRScheduler.get_lr()</span></code></a></li>
+</ul>
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+                  
+  <section id="module-core.modules.scheduler">
+<span id="core-modules-scheduler"></span><h1>core.modules.scheduler<a class="headerlink" href="#module-core.modules.scheduler" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.scheduler.LRScheduler" title="core.modules.scheduler.LRScheduler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LRScheduler</span></code></a></p></td>
+<td><p>Learning rate scheduler class for torch.optim learning rate schedulers</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.scheduler.LRScheduler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.scheduler.</span></span><span class="sig-name descname"><span class="pre">LRScheduler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scheduler.LRScheduler" title="Link to this definition">#</a></dt>
+<dd><p>Learning rate scheduler class for torch.optim learning rate schedulers</p>
+<p class="rubric">Notes</p>
+<p>If no learning rate scheduler is specified in the config the default
+scheduler is warmup_lr_lambda (fairchem.core.common.utils) not no scheduler,
+this is for backward-compatibility reasons. To run without a lr scheduler
+specify scheduler: “Null” in the optim section of the config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>optimizer</strong> (<em>obj</em>) – torch optim object</p></li>
+<li><p><strong>config</strong> (<em>dict</em>) – Optim dict from the input config</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scheduler.LRScheduler.optimizer">
+<span class="sig-name descname"><span class="pre">optimizer</span></span><a class="headerlink" href="#core.modules.scheduler.LRScheduler.optimizer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.scheduler.LRScheduler.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.modules.scheduler.LRScheduler.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scheduler.LRScheduler.step">
+<span class="sig-name descname"><span class="pre">step</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.modules.scheduler.LRScheduler.step" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scheduler.LRScheduler.filter_kwargs">
+<span class="sig-name descname"><span class="pre">filter_kwargs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scheduler.LRScheduler.filter_kwargs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.scheduler.LRScheduler.get_lr">
+<span class="sig-name descname"><span class="pre">get_lr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.scheduler.LRScheduler.get_lr" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler.optimizer"><code class="docutils literal notranslate"><span class="pre">LRScheduler.optimizer</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler.step"><code class="docutils literal notranslate"><span class="pre">LRScheduler.step()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler.filter_kwargs"><code class="docutils literal notranslate"><span class="pre">LRScheduler.filter_kwargs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.scheduler.LRScheduler.get_lr"><code class="docutils literal notranslate"><span class="pre">LRScheduler.get_lr()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.transforms.DataTransforms"><code class="docutils literal notranslate"><span class="pre">DataTransforms</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.transforms.DataTransforms.config"><code class="docutils literal notranslate"><span class="pre">DataTransforms.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.transforms.DataTransforms.__call__"><code class="docutils literal notranslate"><span class="pre">DataTransforms.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.modules.transforms.decompose_tensor"><code class="docutils literal notranslate"><span class="pre">decompose_tensor()</span></code></a></li>
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+  <section id="module-core.modules.transforms">
+<span id="core-modules-transforms"></span><h1>core.modules.transforms<a class="headerlink" href="#module-core.modules.transforms" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.transforms.DataTransforms" title="core.modules.transforms.DataTransforms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataTransforms</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.modules.transforms.decompose_tensor" title="core.modules.transforms.decompose_tensor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">decompose_tensor</span></code></a>(→ torch_geometric.data.Data)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.modules.transforms.DataTransforms">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.modules.transforms.</span></span><span class="sig-name descname"><span class="pre">DataTransforms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.transforms.DataTransforms" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="core.modules.transforms.DataTransforms.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.modules.transforms.DataTransforms.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.modules.transforms.DataTransforms.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_object</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.modules.transforms.DataTransforms.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.modules.transforms.decompose_tensor">
+<span class="sig-prename descclassname"><span class="pre">core.modules.transforms.</span></span><span class="sig-name descname"><span class="pre">decompose_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_object</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch_geometric.data.Data</span></span></span><a class="headerlink" href="#core.modules.transforms.decompose_tensor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
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+    <h1>core.preprocessing.atoms_to_graphs</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AseAtomsAdaptor"><code class="docutils literal notranslate"><span class="pre">AseAtomsAdaptor</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.shell"><code class="docutils literal notranslate"><span class="pre">shell</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.max_neigh"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.max_neigh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.radius"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_energy"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_forces"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_stress"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_distances"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_edges"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_edges</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_fixed"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_fixed</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_pbc"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_data_keys"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_data_keys</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.max_neigh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id2"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id3"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id4"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id5"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id6"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_fixed</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id7"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_edges</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id8"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id9"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_data_keys</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs._get_neighbors_pymatgen"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs._get_neighbors_pymatgen()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs._reshape_features"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs._reshape_features()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.get_edge_distance_vec"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.get_edge_distance_vec()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.convert()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert_all"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.convert_all()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.preprocessing.atoms_to_graphs">
+<span id="core-preprocessing-atoms-to-graphs"></span><h1>core.preprocessing.atoms_to_graphs<a class="headerlink" href="#module-core.preprocessing.atoms_to_graphs" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.preprocessing.atoms_to_graphs.AseAtomsAdaptor" title="core.preprocessing.atoms_to_graphs.AseAtomsAdaptor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AseAtomsAdaptor</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.preprocessing.atoms_to_graphs.shell" title="core.preprocessing.atoms_to_graphs.shell"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shell</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs" title="core.preprocessing.atoms_to_graphs.AtomsToGraphs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomsToGraphs</span></code></a></p></td>
+<td><p>A class to help convert periodic atomic structures to graphs.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AseAtomsAdaptor">
+<span class="sig-prename descclassname"><span class="pre">core.preprocessing.atoms_to_graphs.</span></span><span class="sig-name descname"><span class="pre">AseAtomsAdaptor</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AseAtomsAdaptor" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.shell">
+<span class="sig-prename descclassname"><span class="pre">core.preprocessing.atoms_to_graphs.</span></span><span class="sig-name descname"><span class="pre">shell</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.shell" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.preprocessing.atoms_to_graphs.</span></span><span class="sig-name descname"><span class="pre">AtomsToGraphs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_neigh</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_distances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_fixed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_stress</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_data_keys</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs" title="Link to this definition">#</a></dt>
+<dd><p>A class to help convert periodic atomic structures to graphs.</p>
+<p>The AtomsToGraphs class takes in periodic atomic structures in form of ASE atoms objects and converts
+them into graph representations for use in PyTorch. The primary purpose of this class is to determine the
+nearest neighbors within some radius around each individual atom, taking into account PBC, and set the
+pair index and distance between atom pairs appropriately. Lastly, atomic properties and the graph information
+are put into a PyTorch geometric data object for use with PyTorch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_neigh</strong> (<em>int</em>) – Maximum number of neighbors to consider.</p></li>
+<li><p><strong>radius</strong> (<em>int</em><em> or </em><em>float</em>) – Cutoff radius in Angstroms to search for neighbors.</p></li>
+<li><p><strong>r_energy</strong> (<em>bool</em>) – Return the energy with other properties. Default is False, so the energy will not be returned.</p></li>
+<li><p><strong>r_forces</strong> (<em>bool</em>) – Return the forces with other properties. Default is False, so the forces will not be returned.</p></li>
+<li><p><strong>r_stress</strong> (<em>bool</em>) – Return the stress with other properties. Default is False, so the stress will not be returned.</p></li>
+<li><p><strong>r_distances</strong> (<em>bool</em>) – Return the distances with other properties.</p></li>
+<li><p><strong>False</strong> (<em>Default is</em>)</p></li>
+<li><p><strong>returned.</strong> (<em>so the periodic boundary conditions will not be</em>)</p></li>
+<li><p><strong>r_edges</strong> (<em>bool</em>) – Return interatomic edges with other properties. Default is True, so edges will be returned.</p></li>
+<li><p><strong>r_fixed</strong> (<em>bool</em>) – Return a binary vector with flags for fixed (1) vs free (0) atoms.</p></li>
+<li><p><strong>True</strong> (<em>Default is</em>)</p></li>
+<li><p><strong>returned.</strong></p></li>
+<li><p><strong>r_pbc</strong> (<em>bool</em>) – Return the periodic boundary conditions with other properties.</p></li>
+<li><p><strong>False</strong></p></li>
+<li><p><strong>returned.</strong></p></li>
+<li><p><strong>r_data_keys</strong> (<em>sequence</em><em> of </em><em>str</em><em>, </em><em>optional</em>) – Return values corresponding to given keys in atoms.info data with other</p></li>
+<li><p><strong>None</strong> (<em>properties. Default is</em>)</p></li>
+<li><p><strong>properties.</strong> (<em>so no data will be returned as</em>)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.max_neigh">
+<span class="sig-name descname"><span class="pre">max_neigh</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.max_neigh" title="Link to this definition">#</a></dt>
+<dd><p>Maximum number of neighbors to consider.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.radius">
+<span class="sig-name descname"><span class="pre">radius</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.radius" title="Link to this definition">#</a></dt>
+<dd><p>Cutoff radius in Angstoms to search for neighbors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_energy">
+<span class="sig-name descname"><span class="pre">r_energy</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_energy" title="Link to this definition">#</a></dt>
+<dd><p>Return the energy with other properties. Default is False, so the energy will not be returned.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_forces">
+<span class="sig-name descname"><span class="pre">r_forces</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_forces" title="Link to this definition">#</a></dt>
+<dd><p>Return the forces with other properties. Default is False, so the forces will not be returned.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_stress">
+<span class="sig-name descname"><span class="pre">r_stress</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_stress" title="Link to this definition">#</a></dt>
+<dd><p>Return the stress with other properties. Default is False, so the stress will not be returned.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_distances">
+<span class="sig-name descname"><span class="pre">r_distances</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_distances" title="Link to this definition">#</a></dt>
+<dd><p>Return the distances with other properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">Default</span> <span class="pre">is</span> <span class="pre">False,</span> <span class="pre">so</span> <span class="pre">the</span> <span class="pre">distances</span> <span class="pre">will</span> <span class="pre">not</span> <span class="pre">be</span> <span class="pre">returned.</span></span></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_edges">
+<span class="sig-name descname"><span class="pre">r_edges</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_edges" title="Link to this definition">#</a></dt>
+<dd><p>Return interatomic edges with other properties. Default is True, so edges will be returned.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_fixed">
+<span class="sig-name descname"><span class="pre">r_fixed</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_fixed" title="Link to this definition">#</a></dt>
+<dd><p>Return a binary vector with flags for fixed (1) vs free (0) atoms.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">Default</span> <span class="pre">is</span> <span class="pre">True,</span> <span class="pre">so</span> <span class="pre">the</span> <span class="pre">fixed</span> <span class="pre">indices</span> <span class="pre">will</span> <span class="pre">be</span> <span class="pre">returned.</span></span></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_pbc">
+<span class="sig-name descname"><span class="pre">r_pbc</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_pbc" title="Link to this definition">#</a></dt>
+<dd><p>Return the periodic boundary conditions with other properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">Default</span> <span class="pre">is</span> <span class="pre">False,</span> <span class="pre">so</span> <span class="pre">the</span> <span class="pre">periodic</span> <span class="pre">boundary</span> <span class="pre">conditions</span> <span class="pre">will</span> <span class="pre">not</span> <span class="pre">be</span> <span class="pre">returned.</span></span></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_data_keys">
+<span class="sig-name descname"><span class="pre">r_data_keys</span></span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_data_keys" title="Link to this definition">#</a></dt>
+<dd><p>Return values corresponding to given keys in atoms.info data with other</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>sequence of str, optional</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">properties.</span> <span class="pre">Default</span> <span class="pre">is</span> <span class="pre">None,</span> <span class="pre">so</span> <span class="pre">no</span> <span class="pre">data</span> <span class="pre">will</span> <span class="pre">be</span> <span class="pre">returned</span> <span class="pre">as</span> <span class="pre">properties.</span></span></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id0">
+<span class="sig-name descname"><span class="pre">max_neigh</span></span><a class="headerlink" href="#id0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id1">
+<span class="sig-name descname"><span class="pre">radius</span></span><a class="headerlink" href="#id1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id2">
+<span class="sig-name descname"><span class="pre">r_energy</span></span><a class="headerlink" href="#id2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id3">
+<span class="sig-name descname"><span class="pre">r_forces</span></span><a class="headerlink" href="#id3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id4">
+<span class="sig-name descname"><span class="pre">r_stress</span></span><a class="headerlink" href="#id4" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id5">
+<span class="sig-name descname"><span class="pre">r_distances</span></span><a class="headerlink" href="#id5" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id6">
+<span class="sig-name descname"><span class="pre">r_fixed</span></span><a class="headerlink" href="#id6" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id7">
+<span class="sig-name descname"><span class="pre">r_edges</span></span><a class="headerlink" href="#id7" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id8">
+<span class="sig-name descname"><span class="pre">r_pbc</span></span><a class="headerlink" href="#id8" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id9">
+<span class="sig-name descname"><span class="pre">r_data_keys</span></span><a class="headerlink" href="#id9" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs._get_neighbors_pymatgen">
+<span class="sig-name descname"><span class="pre">_get_neighbors_pymatgen</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs._get_neighbors_pymatgen" title="Link to this definition">#</a></dt>
+<dd><p>Preforms nearest neighbor search and returns edge index, distances,
+and cell offsets</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs._reshape_features">
+<span class="sig-name descname"><span class="pre">_reshape_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">c_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offsets</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs._reshape_features" title="Link to this definition">#</a></dt>
+<dd><p>Stack center and neighbor index and reshapes distances,
+takes in np.arrays and returns torch tensors</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.get_edge_distance_vec">
+<span class="sig-name descname"><span class="pre">get_edge_distance_vec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.get_edge_distance_vec" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert">
+<span class="sig-name descname"><span class="pre">convert</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert" title="Link to this definition">#</a></dt>
+<dd><p>Convert a single atomic structure to a graph.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms</strong> (<em>ase.atoms.Atoms</em>) – An ASE atoms object.</p></li>
+<li><p><strong>sid</strong> (<em>uniquely identifying object</em>) – An identifier that can be used to track the structure in downstream</p></li>
+<li><p><strong>integers.</strong> (<em>tasks. Common sids used in OCP datasets include unique strings or</em>)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>A torch geometic data object with positions, atomic_numbers, tags,
+and optionally, energy, forces, distances, edges, and periodic boundary conditions.
+Optional properties can included by setting r_property=True when constructing the class.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>data (torch_geometric.data.Data)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert_all">
+<span class="sig-name descname"><span class="pre">convert_all</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_collection</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processed_file_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">collate_and_save</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_tqdm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert_all" title="Link to this definition">#</a></dt>
+<dd><p>Convert all atoms objects in a list or in an ase.db to graphs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms_collection</strong> (<em>list</em><em> of </em><em>ase.atoms.Atoms</em><em> or </em><em>ase.db.sqlite.SQLite3Database</em>)</p></li>
+<li><p><strong>database.</strong> (<em>Either a list</em><em> of </em><em>ASE atoms objects</em><em> or </em><em>an ASE</em>)</p></li>
+<li><p><strong>processed_file_path</strong> (<em>str</em>)</p></li>
+<li><p><strong>None.</strong> (<em>A string</em><em> of </em><em>the path to where the processed file will be written. Default is</em>)</p></li>
+<li><p><strong>collate_and_save</strong> (<em>bool</em>) – A boolean to collate and save or not. Default is False, so will not write a file.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>A list of torch geometric data objects containing molecular graph info and properties.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>data_list (list of torch_geometric.data.Data)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AseAtomsAdaptor"><code class="docutils literal notranslate"><span class="pre">AseAtomsAdaptor</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.shell"><code class="docutils literal notranslate"><span class="pre">shell</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.max_neigh"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.max_neigh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.radius"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_energy"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_forces"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_stress"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_distances"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_edges"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_edges</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_fixed"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_fixed</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_pbc"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_data_keys"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_data_keys</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.max_neigh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id2"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id3"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id4"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id5"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id6"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_fixed</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id7"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_edges</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id8"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id9"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_data_keys</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs._get_neighbors_pymatgen"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs._get_neighbors_pymatgen()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs._reshape_features"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs._reshape_features()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.get_edge_distance_vec"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.get_edge_distance_vec()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.convert()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert_all"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.convert_all()</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.max_neigh"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.max_neigh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.radius"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_energy"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_forces"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_stress"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_distances"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_edges"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_edges</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_fixed"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_fixed</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_pbc"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_data_keys"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_data_keys</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.max_neigh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id2"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id3"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id4"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id5"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id6"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_fixed</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id7"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_edges</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id8"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id9"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_data_keys</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs._get_neighbors_pymatgen"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs._get_neighbors_pymatgen()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs._reshape_features"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs._reshape_features()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.get_edge_distance_vec"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.get_edge_distance_vec()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.convert"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.convert()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.convert_all"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.convert_all()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.preprocessing">
+<span id="core-preprocessing"></span><h1>core.preprocessing<a class="headerlink" href="#module-core.preprocessing" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="atoms_to_graphs/index.html">core.preprocessing.atoms_to_graphs</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.preprocessing.AtomsToGraphs" title="core.preprocessing.AtomsToGraphs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AtomsToGraphs</span></code></a></p></td>
+<td><p>A class to help convert periodic atomic structures to graphs.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.preprocessing.</span></span><span class="sig-name descname"><span class="pre">AtomsToGraphs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_neigh</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_forces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_distances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_fixed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_stress</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r_data_keys</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs" title="Link to this definition">#</a></dt>
+<dd><p>A class to help convert periodic atomic structures to graphs.</p>
+<p>The AtomsToGraphs class takes in periodic atomic structures in form of ASE atoms objects and converts
+them into graph representations for use in PyTorch. The primary purpose of this class is to determine the
+nearest neighbors within some radius around each individual atom, taking into account PBC, and set the
+pair index and distance between atom pairs appropriately. Lastly, atomic properties and the graph information
+are put into a PyTorch geometric data object for use with PyTorch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_neigh</strong> (<em>int</em>) – Maximum number of neighbors to consider.</p></li>
+<li><p><strong>radius</strong> (<em>int</em><em> or </em><em>float</em>) – Cutoff radius in Angstroms to search for neighbors.</p></li>
+<li><p><strong>r_energy</strong> (<em>bool</em>) – Return the energy with other properties. Default is False, so the energy will not be returned.</p></li>
+<li><p><strong>r_forces</strong> (<em>bool</em>) – Return the forces with other properties. Default is False, so the forces will not be returned.</p></li>
+<li><p><strong>r_stress</strong> (<em>bool</em>) – Return the stress with other properties. Default is False, so the stress will not be returned.</p></li>
+<li><p><strong>r_distances</strong> (<em>bool</em>) – Return the distances with other properties.</p></li>
+<li><p><strong>False</strong> (<em>Default is</em>)</p></li>
+<li><p><strong>returned.</strong> (<em>so the periodic boundary conditions will not be</em>)</p></li>
+<li><p><strong>r_edges</strong> (<em>bool</em>) – Return interatomic edges with other properties. Default is True, so edges will be returned.</p></li>
+<li><p><strong>r_fixed</strong> (<em>bool</em>) – Return a binary vector with flags for fixed (1) vs free (0) atoms.</p></li>
+<li><p><strong>True</strong> (<em>Default is</em>)</p></li>
+<li><p><strong>returned.</strong></p></li>
+<li><p><strong>r_pbc</strong> (<em>bool</em>) – Return the periodic boundary conditions with other properties.</p></li>
+<li><p><strong>False</strong></p></li>
+<li><p><strong>returned.</strong></p></li>
+<li><p><strong>r_data_keys</strong> (<em>sequence</em><em> of </em><em>str</em><em>, </em><em>optional</em>) – Return values corresponding to given keys in atoms.info data with other</p></li>
+<li><p><strong>None</strong> (<em>properties. Default is</em>)</p></li>
+<li><p><strong>properties.</strong> (<em>so no data will be returned as</em>)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.max_neigh">
+<span class="sig-name descname"><span class="pre">max_neigh</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.max_neigh" title="Link to this definition">#</a></dt>
+<dd><p>Maximum number of neighbors to consider.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.radius">
+<span class="sig-name descname"><span class="pre">radius</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.radius" title="Link to this definition">#</a></dt>
+<dd><p>Cutoff radius in Angstoms to search for neighbors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.r_energy">
+<span class="sig-name descname"><span class="pre">r_energy</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.r_energy" title="Link to this definition">#</a></dt>
+<dd><p>Return the energy with other properties. Default is False, so the energy will not be returned.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.r_forces">
+<span class="sig-name descname"><span class="pre">r_forces</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.r_forces" title="Link to this definition">#</a></dt>
+<dd><p>Return the forces with other properties. Default is False, so the forces will not be returned.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.r_stress">
+<span class="sig-name descname"><span class="pre">r_stress</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.r_stress" title="Link to this definition">#</a></dt>
+<dd><p>Return the stress with other properties. Default is False, so the stress will not be returned.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.r_distances">
+<span class="sig-name descname"><span class="pre">r_distances</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.r_distances" title="Link to this definition">#</a></dt>
+<dd><p>Return the distances with other properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">Default</span> <span class="pre">is</span> <span class="pre">False,</span> <span class="pre">so</span> <span class="pre">the</span> <span class="pre">distances</span> <span class="pre">will</span> <span class="pre">not</span> <span class="pre">be</span> <span class="pre">returned.</span></span></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.r_edges">
+<span class="sig-name descname"><span class="pre">r_edges</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.r_edges" title="Link to this definition">#</a></dt>
+<dd><p>Return interatomic edges with other properties. Default is True, so edges will be returned.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.r_fixed">
+<span class="sig-name descname"><span class="pre">r_fixed</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.r_fixed" title="Link to this definition">#</a></dt>
+<dd><p>Return a binary vector with flags for fixed (1) vs free (0) atoms.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">Default</span> <span class="pre">is</span> <span class="pre">True,</span> <span class="pre">so</span> <span class="pre">the</span> <span class="pre">fixed</span> <span class="pre">indices</span> <span class="pre">will</span> <span class="pre">be</span> <span class="pre">returned.</span></span></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.r_pbc">
+<span class="sig-name descname"><span class="pre">r_pbc</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.r_pbc" title="Link to this definition">#</a></dt>
+<dd><p>Return the periodic boundary conditions with other properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">Default</span> <span class="pre">is</span> <span class="pre">False,</span> <span class="pre">so</span> <span class="pre">the</span> <span class="pre">periodic</span> <span class="pre">boundary</span> <span class="pre">conditions</span> <span class="pre">will</span> <span class="pre">not</span> <span class="pre">be</span> <span class="pre">returned.</span></span></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.r_data_keys">
+<span class="sig-name descname"><span class="pre">r_data_keys</span></span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.r_data_keys" title="Link to this definition">#</a></dt>
+<dd><p>Return values corresponding to given keys in atoms.info data with other</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>sequence of str, optional</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">properties.</span> <span class="pre">Default</span> <span class="pre">is</span> <span class="pre">None,</span> <span class="pre">so</span> <span class="pre">no</span> <span class="pre">data</span> <span class="pre">will</span> <span class="pre">be</span> <span class="pre">returned</span> <span class="pre">as</span> <span class="pre">properties.</span></span></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id0">
+<span class="sig-name descname"><span class="pre">max_neigh</span></span><a class="headerlink" href="#id0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id1">
+<span class="sig-name descname"><span class="pre">radius</span></span><a class="headerlink" href="#id1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id2">
+<span class="sig-name descname"><span class="pre">r_energy</span></span><a class="headerlink" href="#id2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id3">
+<span class="sig-name descname"><span class="pre">r_forces</span></span><a class="headerlink" href="#id3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id4">
+<span class="sig-name descname"><span class="pre">r_stress</span></span><a class="headerlink" href="#id4" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id5">
+<span class="sig-name descname"><span class="pre">r_distances</span></span><a class="headerlink" href="#id5" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id6">
+<span class="sig-name descname"><span class="pre">r_fixed</span></span><a class="headerlink" href="#id6" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id7">
+<span class="sig-name descname"><span class="pre">r_edges</span></span><a class="headerlink" href="#id7" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id8">
+<span class="sig-name descname"><span class="pre">r_pbc</span></span><a class="headerlink" href="#id8" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id9">
+<span class="sig-name descname"><span class="pre">r_data_keys</span></span><a class="headerlink" href="#id9" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs._get_neighbors_pymatgen">
+<span class="sig-name descname"><span class="pre">_get_neighbors_pymatgen</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs._get_neighbors_pymatgen" title="Link to this definition">#</a></dt>
+<dd><p>Preforms nearest neighbor search and returns edge index, distances,
+and cell offsets</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs._reshape_features">
+<span class="sig-name descname"><span class="pre">_reshape_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">c_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_distance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offsets</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs._reshape_features" title="Link to this definition">#</a></dt>
+<dd><p>Stack center and neighbor index and reshapes distances,
+takes in np.arrays and returns torch tensors</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.get_edge_distance_vec">
+<span class="sig-name descname"><span class="pre">get_edge_distance_vec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cell_offsets</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.get_edge_distance_vec" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.convert">
+<span class="sig-name descname"><span class="pre">convert</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.convert" title="Link to this definition">#</a></dt>
+<dd><p>Convert a single atomic structure to a graph.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms</strong> (<em>ase.atoms.Atoms</em>) – An ASE atoms object.</p></li>
+<li><p><strong>sid</strong> (<em>uniquely identifying object</em>) – An identifier that can be used to track the structure in downstream</p></li>
+<li><p><strong>integers.</strong> (<em>tasks. Common sids used in OCP datasets include unique strings or</em>)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>A torch geometic data object with positions, atomic_numbers, tags,
+and optionally, energy, forces, distances, edges, and periodic boundary conditions.
+Optional properties can included by setting r_property=True when constructing the class.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>data (torch_geometric.data.Data)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.preprocessing.AtomsToGraphs.convert_all">
+<span class="sig-name descname"><span class="pre">convert_all</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_collection</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processed_file_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">collate_and_save</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_tqdm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.preprocessing.AtomsToGraphs.convert_all" title="Link to this definition">#</a></dt>
+<dd><p>Convert all atoms objects in a list or in an ase.db to graphs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms_collection</strong> (<em>list</em><em> of </em><em>ase.atoms.Atoms</em><em> or </em><em>ase.db.sqlite.SQLite3Database</em>)</p></li>
+<li><p><strong>database.</strong> (<em>Either a list</em><em> of </em><em>ASE atoms objects</em><em> or </em><em>an ASE</em>)</p></li>
+<li><p><strong>processed_file_path</strong> (<em>str</em>)</p></li>
+<li><p><strong>None.</strong> (<em>A string</em><em> of </em><em>the path to where the processed file will be written. Default is</em>)</p></li>
+<li><p><strong>collate_and_save</strong> (<em>bool</em>) – A boolean to collate and save or not. Default is False, so will not write a file.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>A list of torch geometric data objects containing molecular graph info and properties.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>data_list (list of torch_geometric.data.Data)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.max_neigh"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.max_neigh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.radius"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_energy"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_forces"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_stress"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_distances"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_edges"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_edges</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_fixed"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_fixed</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_pbc"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.r_data_keys"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_data_keys</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.max_neigh</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.radius</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id2"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id3"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id4"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_stress</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id5"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_distances</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id6"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_fixed</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id7"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_edges</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id8"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id9"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.r_data_keys</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs._get_neighbors_pymatgen"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs._get_neighbors_pymatgen()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs._reshape_features"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs._reshape_features()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.get_edge_distance_vec"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.get_edge_distance_vec()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.convert"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.convert()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.preprocessing.AtomsToGraphs.convert_all"><code class="docutils literal notranslate"><span class="pre">AtomsToGraphs.convert_all()</span></code></a></li>
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+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.convert_hydra_to_release.convert_fine_tune_checkpoint"><code class="docutils literal notranslate"><span class="pre">convert_fine_tune_checkpoint()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.convert_hydra_to_release.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+  <section id="module-core.scripts.convert_hydra_to_release">
+<span id="core-scripts-convert-hydra-to-release"></span><h1>core.scripts.convert_hydra_to_release<a class="headerlink" href="#module-core.scripts.convert_hydra_to_release" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.convert_hydra_to_release.parser" title="core.scripts.convert_hydra_to_release.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.convert_hydra_to_release.convert_fine_tune_checkpoint" title="core.scripts.convert_hydra_to_release.convert_fine_tune_checkpoint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">convert_fine_tune_checkpoint</span></code></a>(fine_tune_checkpoint_fn, ...)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.convert_hydra_to_release.convert_fine_tune_checkpoint">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.convert_hydra_to_release.</span></span><span class="sig-name descname"><span class="pre">convert_fine_tune_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fine_tune_checkpoint_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_checkpoint_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fine_tune_yaml_fn</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_yaml_fn</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.scripts.convert_hydra_to_release.convert_fine_tune_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.convert_hydra_to_release.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.convert_hydra_to_release.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.scripts.convert_hydra_to_release.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.convert_hydra_to_release.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+  data-bs-placement="left" data-bs-toggle="tooltip"
+>
+  
+
+<span class="btn__icon-container">
+  <i class="fas fa-file-pdf"></i>
+  </span>
+<span class="btn__text-container">.pdf</span>
+</button>
+</li>
+      
+  </ul>
+</div>
+
+
+
+
+<button onclick="toggleFullScreen()"
+  class="btn btn-sm btn-fullscreen-button"
+  title="Fullscreen mode"
+  data-bs-placement="bottom" data-bs-toggle="tooltip"
+>
+  
+
+<span class="btn__icon-container">
+  <i class="fas fa-expand"></i>
+  </span>
+
+</button>
+
+
+
+<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button pst-js-only" aria-label="Color mode" data-bs-title="Color mode"  data-bs-placement="bottom" data-bs-toggle="tooltip">
+  <i class="theme-switch fa-solid fa-sun                fa-lg" data-mode="light" title="Light"></i>
+  <i class="theme-switch fa-solid fa-moon               fa-lg" data-mode="dark"  title="Dark"></i>
+  <i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"  title="System Settings"></i>
+</button>
+
+
+<button class="btn btn-sm pst-navbar-icon search-button search-button__button pst-js-only" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
+</button>
+<button class="sidebar-toggle secondary-toggle btn btn-sm" title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="fa-solid fa-list"></span>
+</button>
+</div></div>
+      
+    </div>
+  
+</div>
+</div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>core.scripts.download_data</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.DOWNLOAD_LINKS_s2ef"><code class="docutils literal notranslate"><span class="pre">DOWNLOAD_LINKS_s2ef</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.DOWNLOAD_LINKS_is2re"><code class="docutils literal notranslate"><span class="pre">DOWNLOAD_LINKS_is2re</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.S2EF_COUNTS"><code class="docutils literal notranslate"><span class="pre">S2EF_COUNTS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.get_data"><code class="docutils literal notranslate"><span class="pre">get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.uncompress_data"><code class="docutils literal notranslate"><span class="pre">uncompress_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.preprocess_data"><code class="docutils literal notranslate"><span class="pre">preprocess_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.verify_count"><code class="docutils literal notranslate"><span class="pre">verify_count()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.cleanup"><code class="docutils literal notranslate"><span class="pre">cleanup()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.scripts.download_data">
+<span id="core-scripts-download-data"></span><h1>core.scripts.download_data<a class="headerlink" href="#module-core.scripts.download_data" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.download_data.DOWNLOAD_LINKS_s2ef" title="core.scripts.download_data.DOWNLOAD_LINKS_s2ef"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DOWNLOAD_LINKS_s2ef</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.download_data.DOWNLOAD_LINKS_is2re" title="core.scripts.download_data.DOWNLOAD_LINKS_is2re"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DOWNLOAD_LINKS_is2re</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.download_data.S2EF_COUNTS" title="core.scripts.download_data.S2EF_COUNTS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">S2EF_COUNTS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.download_data.parser" title="core.scripts.download_data.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.download_data.get_data" title="core.scripts.download_data.get_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.download_data.uncompress_data" title="core.scripts.download_data.uncompress_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">uncompress_data</span></code></a>(→ str)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.download_data.preprocess_data" title="core.scripts.download_data.preprocess_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preprocess_data</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.download_data.verify_count" title="core.scripts.download_data.verify_count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">verify_count</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.download_data.cleanup" title="core.scripts.download_data.cleanup"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cleanup</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.download_data.DOWNLOAD_LINKS_s2ef">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_data.</span></span><span class="sig-name descname"><span class="pre">DOWNLOAD_LINKS_s2ef</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.scripts.download_data.DOWNLOAD_LINKS_s2ef" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.download_data.DOWNLOAD_LINKS_is2re">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_data.</span></span><span class="sig-name descname"><span class="pre">DOWNLOAD_LINKS_is2re</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#core.scripts.download_data.DOWNLOAD_LINKS_is2re" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.download_data.S2EF_COUNTS">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_data.</span></span><span class="sig-name descname"><span class="pre">S2EF_COUNTS</span></span><a class="headerlink" href="#core.scripts.download_data.S2EF_COUNTS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.download_data.get_data">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_data.</span></span><span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">datadir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">del_intmd_files</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.download_data.get_data" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.download_data.uncompress_data">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_data.</span></span><span class="sig-name descname"><span class="pre">uncompress_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">compressed_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.scripts.download_data.uncompress_data" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.download_data.preprocess_data">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_data.</span></span><span class="sig-name descname"><span class="pre">preprocess_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">uncompressed_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.download_data.preprocess_data" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.download_data.verify_count">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_data.</span></span><span class="sig-name descname"><span class="pre">verify_count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.download_data.verify_count" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.download_data.cleanup">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_data.</span></span><span class="sig-name descname"><span class="pre">cleanup</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dirname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.download_data.cleanup" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.download_data.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_data.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.scripts.download_data.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/scripts/download_data"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
+    <a class="left-prev"
+       href="../convert_hydra_to_release/index.html"
+       title="previous page">
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+      <div class="prev-next-info">
+        <p class="prev-next-subtitle">previous</p>
+        <p class="prev-next-title">core.scripts.convert_hydra_to_release</p>
+      </div>
+    </a>
+    <a class="right-next"
+       href="../download_large_files/index.html"
+       title="next page">
+      <div class="prev-next-info">
+        <p class="prev-next-subtitle">next</p>
+        <p class="prev-next-title">core.scripts.download_large_files</p>
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+
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.DOWNLOAD_LINKS_s2ef"><code class="docutils literal notranslate"><span class="pre">DOWNLOAD_LINKS_s2ef</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.DOWNLOAD_LINKS_is2re"><code class="docutils literal notranslate"><span class="pre">DOWNLOAD_LINKS_is2re</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.S2EF_COUNTS"><code class="docutils literal notranslate"><span class="pre">S2EF_COUNTS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.get_data"><code class="docutils literal notranslate"><span class="pre">get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.uncompress_data"><code class="docutils literal notranslate"><span class="pre">uncompress_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.preprocess_data"><code class="docutils literal notranslate"><span class="pre">preprocess_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.verify_count"><code class="docutils literal notranslate"><span class="pre">verify_count()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.cleanup"><code class="docutils literal notranslate"><span class="pre">cleanup()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_data.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
+</div></div>
+              
+            
+          </div>
+          <footer class="bd-footer-content">
+            
+<div class="bd-footer-content__inner container">
+  
+  <div class="footer-item">
+    
+<p class="component-author">
+By FAIR Chemistry & Collaborators
+</p>
+
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+  
+  <div class="footer-item">
+    
+
+  <p class="copyright">
+    
+      © Copyright 2024.
+      <br/>
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+    
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+    
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+  
+</div>
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+        
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+      </main>
+    </div>
+  </div>
+  
+  <!-- Scripts loaded after <body> so the DOM is not blocked -->
+  <script defer src="../../../../_static/scripts/bootstrap.js?digest=8878045cc6db502f8baf"></script>
+<script defer src="../../../../_static/scripts/pydata-sphinx-theme.js?digest=8878045cc6db502f8baf"></script>
+
+  <footer class="bd-footer">
+  </footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/autoapi/core/scripts/download_large_files/index.html b/autoapi/core/scripts/download_large_files/index.html
new file mode 100644
index 0000000000..e5d333667b
--- /dev/null
+++ b/autoapi/core/scripts/download_large_files/index.html
@@ -0,0 +1,831 @@
+
+<!DOCTYPE html>
+
+
+<html lang="en" data-content_root="../../../../" >
+
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
+
+    <title>core.scripts.download_large_files</title>
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "";
+  </script>
+  <!--
+    this give us a css class that will be invisible only if js is disabled
+  -->
+  <noscript>
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+      .pst-js-only { display: none !important; }
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+  <!-- Loaded before other Sphinx assets -->
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+    <h1>core.scripts.download_large_files</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.S3_ROOT"><code class="docutils literal notranslate"><span class="pre">S3_ROOT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.FILE_GROUPS"><code class="docutils literal notranslate"><span class="pre">FILE_GROUPS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.download_file_group"><code class="docutils literal notranslate"><span class="pre">download_file_group()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.args"><code class="docutils literal notranslate"><span class="pre">args</span></code></a></li>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.scripts.download_large_files">
+<span id="core-scripts-download-large-files"></span><h1>core.scripts.download_large_files<a class="headerlink" href="#module-core.scripts.download_large_files" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.download_large_files.S3_ROOT" title="core.scripts.download_large_files.S3_ROOT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">S3_ROOT</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.download_large_files.FILE_GROUPS" title="core.scripts.download_large_files.FILE_GROUPS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FILE_GROUPS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.download_large_files.args" title="core.scripts.download_large_files.args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">args</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.download_large_files.parse_args" title="core.scripts.download_large_files.parse_args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_args</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.download_large_files.download_file_group" title="core.scripts.download_large_files.download_file_group"><code class="xref py py-obj docutils literal notranslate"><span class="pre">download_file_group</span></code></a>(file_group)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.download_large_files.S3_ROOT">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_large_files.</span></span><span class="sig-name descname"><span class="pre">S3_ROOT</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'https://dl.fbaipublicfiles.com/opencatalystproject/data/large_files/'</span></em><a class="headerlink" href="#core.scripts.download_large_files.S3_ROOT" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.download_large_files.FILE_GROUPS">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_large_files.</span></span><span class="sig-name descname"><span class="pre">FILE_GROUPS</span></span><a class="headerlink" href="#core.scripts.download_large_files.FILE_GROUPS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.download_large_files.parse_args">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_large_files.</span></span><span class="sig-name descname"><span class="pre">parse_args</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.scripts.download_large_files.parse_args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.download_large_files.download_file_group">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_large_files.</span></span><span class="sig-name descname"><span class="pre">download_file_group</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_group</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.scripts.download_large_files.download_file_group" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.download_large_files.args">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.download_large_files.</span></span><span class="sig-name descname"><span class="pre">args</span></span><a class="headerlink" href="#core.scripts.download_large_files.args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/scripts/download_large_files"
+        },
+        predefinedOutput: true
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.S3_ROOT"><code class="docutils literal notranslate"><span class="pre">S3_ROOT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.FILE_GROUPS"><code class="docutils literal notranslate"><span class="pre">FILE_GROUPS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.download_file_group"><code class="docutils literal notranslate"><span class="pre">download_file_group()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.download_large_files.args"><code class="docutils literal notranslate"><span class="pre">args</span></code></a></li>
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+<span id="core-scripts-eqv2-to-hydra-eqv2"></span><h1>core.scripts.eqv2_to_hydra_eqv2<a class="headerlink" href="#module-core.scripts.eqv2_to_hydra_eqv2" title="Link to this heading">#</a></h1>
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+<dd></dd></dl>
+
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new file mode 100644
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.fit_normalizers.fit_norms"><code class="docutils literal notranslate"><span class="pre">fit_norms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.fit_normalizers.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+  <section id="module-core.scripts.fit_normalizers">
+<span id="core-scripts-fit-normalizers"></span><h1>core.scripts.fit_normalizers<a class="headerlink" href="#module-core.scripts.fit_normalizers" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.fit_normalizers.parser" title="core.scripts.fit_normalizers.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.fit_normalizers.fit_norms" title="core.scripts.fit_normalizers.fit_norms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fit_norms</span></code></a>(→ None)</p></td>
+<td><p>Fit dataset mean and std using the standard config</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.fit_normalizers.fit_norms">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.fit_normalizers.</span></span><span class="sig-name descname"><span class="pre">fit_norms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linref_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linref_target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'energy'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.fit_normalizers.fit_norms" title="Link to this definition">#</a></dt>
+<dd><p>Fit dataset mean and std using the standard config</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> – config</p></li>
+<li><p><strong>output_path</strong> – output path</p></li>
+<li><p><strong>linref_file</strong> – path to fitted linear references. IF these are used in training they must be used to compute mean/std</p></li>
+<li><p><strong>linref_target</strong> – target using linear references, basically always energy.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.fit_normalizers.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.fit_normalizers.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.scripts.fit_normalizers.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.fit_references.fit_linref"><code class="docutils literal notranslate"><span class="pre">fit_linref()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.fit_references.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+                  
+  <section id="module-core.scripts.fit_references">
+<span id="core-scripts-fit-references"></span><h1>core.scripts.fit_references<a class="headerlink" href="#module-core.scripts.fit_references" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.fit_references.parser" title="core.scripts.fit_references.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.fit_references.fit_linref" title="core.scripts.fit_references.fit_linref"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fit_linref</span></code></a>(→ None)</p></td>
+<td><p>Fit linear references using the standard config</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.fit_references.fit_linref">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.fit_references.</span></span><span class="sig-name descname"><span class="pre">fit_linref</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.fit_references.fit_linref" title="Link to this definition">#</a></dt>
+<dd><p>Fit linear references using the standard config</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> – config</p></li>
+<li><p><strong>output_path</strong> – output path</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.fit_references.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.fit_references.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.scripts.fit_references.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+        },
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.fit_references.fit_linref"><code class="docutils literal notranslate"><span class="pre">fit_linref()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.fit_references.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+    <h1>core.scripts.gif_maker_parallelized</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.gif_maker_parallelized.pov_from_atoms"><code class="docutils literal notranslate"><span class="pre">pov_from_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.gif_maker_parallelized.parallelize_generation"><code class="docutils literal notranslate"><span class="pre">parallelize_generation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.gif_maker_parallelized.get_parser"><code class="docutils literal notranslate"><span class="pre">get_parser()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.gif_maker_parallelized.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
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+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.scripts.gif_maker_parallelized">
+<span id="core-scripts-gif-maker-parallelized"></span><h1>core.scripts.gif_maker_parallelized<a class="headerlink" href="#module-core.scripts.gif_maker_parallelized" title="Link to this heading">#</a></h1>
+<p>Script to generate gifs from traj</p>
+<p>Note:
+This is just a quick way to generate gifs and visalizations from traj, there are many parameters and settings in the code that people can vary to make visualizations better. We have chosen these settings as this seem to work fine for most of our systems.</p>
+<p>Requirements:</p>
+<p>povray
+ffmpeg
+ase==3.21</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.gif_maker_parallelized.parser" title="core.scripts.gif_maker_parallelized.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.gif_maker_parallelized.pov_from_atoms" title="core.scripts.gif_maker_parallelized.pov_from_atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pov_from_atoms</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.gif_maker_parallelized.parallelize_generation" title="core.scripts.gif_maker_parallelized.parallelize_generation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parallelize_generation</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.gif_maker_parallelized.get_parser" title="core.scripts.gif_maker_parallelized.get_parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_parser</span></code></a>(→ argparse.ArgumentParser)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.gif_maker_parallelized.pov_from_atoms">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.gif_maker_parallelized.</span></span><span class="sig-name descname"><span class="pre">pov_from_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mp_args</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.gif_maker_parallelized.pov_from_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.gif_maker_parallelized.parallelize_generation">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.gif_maker_parallelized.</span></span><span class="sig-name descname"><span class="pre">parallelize_generation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">traj_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_procs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.gif_maker_parallelized.parallelize_generation" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.gif_maker_parallelized.get_parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.gif_maker_parallelized.</span></span><span class="sig-name descname"><span class="pre">get_parser</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">argparse.ArgumentParser</span></span></span><a class="headerlink" href="#core.scripts.gif_maker_parallelized.get_parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.gif_maker_parallelized.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.gif_maker_parallelized.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">argparse.ArgumentParser</span></em><a class="headerlink" href="#core.scripts.gif_maker_parallelized.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/scripts/gif_maker_parallelized"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.gif_maker_parallelized.pov_from_atoms"><code class="docutils literal notranslate"><span class="pre">pov_from_atoms()</span></code></a></li>
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+  <section id="module-core.scripts.hpo">
+<span id="core-scripts-hpo"></span><h1>core.scripts.hpo<a class="headerlink" href="#module-core.scripts.hpo" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Facebook, Inc. and its affiliates.</p>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.hpo.run_tune.ocp_trainable"><code class="docutils literal notranslate"><span class="pre">ocp_trainable()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.hpo.run_tune.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+  <section id="module-core.scripts.hpo.run_tune">
+<span id="core-scripts-hpo-run-tune"></span><h1>core.scripts.hpo.run_tune<a class="headerlink" href="#module-core.scripts.hpo.run_tune" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.hpo.run_tune.ocp_trainable" title="core.scripts.hpo.run_tune.ocp_trainable"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ocp_trainable</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.hpo.run_tune.main" title="core.scripts.hpo.run_tune.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.hpo.run_tune.ocp_trainable">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.hpo.run_tune.</span></span><span class="sig-name descname"><span class="pre">ocp_trainable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.hpo.run_tune.ocp_trainable" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.hpo.run_tune.main">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.hpo.run_tune.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.hpo.run_tune.main" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.hpo.run_tune.ocp_trainable"><code class="docutils literal notranslate"><span class="pre">ocp_trainable()</span></code></a></li>
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+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.hpo.run_tune_pbt.ocp_trainable"><code class="docutils literal notranslate"><span class="pre">ocp_trainable()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.hpo.run_tune_pbt.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+                
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+                  
+  <section id="module-core.scripts.hpo.run_tune_pbt">
+<span id="core-scripts-hpo-run-tune-pbt"></span><h1>core.scripts.hpo.run_tune_pbt<a class="headerlink" href="#module-core.scripts.hpo.run_tune_pbt" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.hpo.run_tune_pbt.ocp_trainable" title="core.scripts.hpo.run_tune_pbt.ocp_trainable"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ocp_trainable</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.hpo.run_tune_pbt.main" title="core.scripts.hpo.run_tune_pbt.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.hpo.run_tune_pbt.ocp_trainable">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.hpo.run_tune_pbt.</span></span><span class="sig-name descname"><span class="pre">ocp_trainable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.hpo.run_tune_pbt.ocp_trainable" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.hpo.run_tune_pbt.main">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.hpo.run_tune_pbt.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.hpo.run_tune_pbt.main" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.hpo.run_tune_pbt.ocp_trainable"><code class="docutils literal notranslate"><span class="pre">ocp_trainable()</span></code></a></li>
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+<span id="core-scripts"></span><h1>core.scripts<a class="headerlink" href="#module-core.scripts" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Facebook, Inc. and its affiliates.</p>
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+    <!-- Table of contents -->
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_challenge_submission_file.write_is2re_relaxations"><code class="docutils literal notranslate"><span class="pre">write_is2re_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_challenge_submission_file.write_predictions"><code class="docutils literal notranslate"><span class="pre">write_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_challenge_submission_file.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_challenge_submission_file.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.scripts.make_challenge_submission_file">
+<span id="core-scripts-make-challenge-submission-file"></span><h1>core.scripts.make_challenge_submission_file<a class="headerlink" href="#module-core.scripts.make_challenge_submission_file" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Facebook, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<p>ONLY for use in the NeurIPS 2021 Open Catalyst Challenge. For all other submissions
+please use make_submission_file.py.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.make_challenge_submission_file.parser" title="core.scripts.make_challenge_submission_file.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.make_challenge_submission_file.write_is2re_relaxations" title="core.scripts.make_challenge_submission_file.write_is2re_relaxations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_is2re_relaxations</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.make_challenge_submission_file.write_predictions" title="core.scripts.make_challenge_submission_file.write_predictions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_predictions</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.make_challenge_submission_file.main" title="core.scripts.make_challenge_submission_file.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.make_challenge_submission_file.write_is2re_relaxations">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_challenge_submission_file.</span></span><span class="sig-name descname"><span class="pre">write_is2re_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hybrid</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.make_challenge_submission_file.write_is2re_relaxations" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.make_challenge_submission_file.write_predictions">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_challenge_submission_file.</span></span><span class="sig-name descname"><span class="pre">write_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.make_challenge_submission_file.write_predictions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.make_challenge_submission_file.main">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_challenge_submission_file.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">argparse.Namespace</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.make_challenge_submission_file.main" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.make_challenge_submission_file.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_challenge_submission_file.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.scripts.make_challenge_submission_file.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/scripts/make_challenge_submission_file"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_challenge_submission_file.write_is2re_relaxations"><code class="docutils literal notranslate"><span class="pre">write_is2re_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_challenge_submission_file.write_predictions"><code class="docutils literal notranslate"><span class="pre">write_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_challenge_submission_file.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_challenge_submission_file.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+    <h1>core.scripts.make_lmdb_sizes</h1>
+    <!-- Table of contents -->
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+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_lmdb_sizes.get_data"><code class="docutils literal notranslate"><span class="pre">get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_lmdb_sizes.make_lmdb_sizes"><code class="docutils literal notranslate"><span class="pre">make_lmdb_sizes()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_lmdb_sizes.get_lmdb_sizes_parser"><code class="docutils literal notranslate"><span class="pre">get_lmdb_sizes_parser()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_lmdb_sizes.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
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+    </div>
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+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.scripts.make_lmdb_sizes">
+<span id="core-scripts-make-lmdb-sizes"></span><h1>core.scripts.make_lmdb_sizes<a class="headerlink" href="#module-core.scripts.make_lmdb_sizes" title="Link to this heading">#</a></h1>
+<p>This script provides the functionality to generate metadata.npz files necessary
+for load_balancing the DataLoader.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.make_lmdb_sizes.parser" title="core.scripts.make_lmdb_sizes.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.make_lmdb_sizes.get_data" title="core.scripts.make_lmdb_sizes.get_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data</span></code></a>(index)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.make_lmdb_sizes.make_lmdb_sizes" title="core.scripts.make_lmdb_sizes.make_lmdb_sizes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_lmdb_sizes</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.make_lmdb_sizes.get_lmdb_sizes_parser" title="core.scripts.make_lmdb_sizes.get_lmdb_sizes_parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_lmdb_sizes_parser</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.make_lmdb_sizes.get_data">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_lmdb_sizes.</span></span><span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.scripts.make_lmdb_sizes.get_data" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.make_lmdb_sizes.make_lmdb_sizes">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_lmdb_sizes.</span></span><span class="sig-name descname"><span class="pre">make_lmdb_sizes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.make_lmdb_sizes.make_lmdb_sizes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.make_lmdb_sizes.get_lmdb_sizes_parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_lmdb_sizes.</span></span><span class="sig-name descname"><span class="pre">get_lmdb_sizes_parser</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.scripts.make_lmdb_sizes.get_lmdb_sizes_parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.make_lmdb_sizes.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_lmdb_sizes.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.scripts.make_lmdb_sizes.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_lmdb_sizes.get_data"><code class="docutils literal notranslate"><span class="pre">get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_lmdb_sizes.make_lmdb_sizes"><code class="docutils literal notranslate"><span class="pre">make_lmdb_sizes()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_lmdb_sizes.get_lmdb_sizes_parser"><code class="docutils literal notranslate"><span class="pre">get_lmdb_sizes_parser()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_lmdb_sizes.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+    <h1>core.scripts.make_submission_file</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.SPLITS"><code class="docutils literal notranslate"><span class="pre">SPLITS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.write_is2re_relaxations"><code class="docutils literal notranslate"><span class="pre">write_is2re_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.write_predictions"><code class="docutils literal notranslate"><span class="pre">write_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.scripts.make_submission_file">
+<span id="core-scripts-make-submission-file"></span><h1>core.scripts.make_submission_file<a class="headerlink" href="#module-core.scripts.make_submission_file" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Facebook, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.make_submission_file.SPLITS" title="core.scripts.make_submission_file.SPLITS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SPLITS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.make_submission_file.parser" title="core.scripts.make_submission_file.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.make_submission_file.write_is2re_relaxations" title="core.scripts.make_submission_file.write_is2re_relaxations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_is2re_relaxations</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.make_submission_file.write_predictions" title="core.scripts.make_submission_file.write_predictions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_predictions</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.make_submission_file.main" title="core.scripts.make_submission_file.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.make_submission_file.SPLITS">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_submission_file.</span></span><span class="sig-name descname"><span class="pre">SPLITS</span></span><a class="headerlink" href="#core.scripts.make_submission_file.SPLITS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.make_submission_file.write_is2re_relaxations">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_submission_file.</span></span><span class="sig-name descname"><span class="pre">write_is2re_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.make_submission_file.write_is2re_relaxations" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.make_submission_file.write_predictions">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_submission_file.</span></span><span class="sig-name descname"><span class="pre">write_predictions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.make_submission_file.write_predictions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.make_submission_file.main">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_submission_file.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">argparse.Namespace</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.make_submission_file.main" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.make_submission_file.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.make_submission_file.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.scripts.make_submission_file.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/scripts/make_submission_file"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.SPLITS"><code class="docutils literal notranslate"><span class="pre">SPLITS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.write_is2re_relaxations"><code class="docutils literal notranslate"><span class="pre">write_is2re_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.write_predictions"><code class="docutils literal notranslate"><span class="pre">write_predictions()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.make_submission_file.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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diff --git a/autoapi/core/scripts/preprocess_ef/index.html b/autoapi/core/scripts/preprocess_ef/index.html
new file mode 100644
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+    <h1>core.scripts.preprocess_ef</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_ef.write_images_to_lmdb"><code class="docutils literal notranslate"><span class="pre">write_images_to_lmdb()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_ef.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_ef.get_parser"><code class="docutils literal notranslate"><span class="pre">get_parser()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_ef.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.scripts.preprocess_ef">
+<span id="core-scripts-preprocess-ef"></span><h1>core.scripts.preprocess_ef<a class="headerlink" href="#module-core.scripts.preprocess_ef" title="Link to this heading">#</a></h1>
+<p>Creates LMDB files with extracted graph features from provided <a href="#id1"><span class="problematic" id="id2">*</span></a>.extxyz files
+for the S2EF task.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.preprocess_ef.parser" title="core.scripts.preprocess_ef.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.preprocess_ef.write_images_to_lmdb" title="core.scripts.preprocess_ef.write_images_to_lmdb"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_images_to_lmdb</span></code></a>(mp_arg)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.preprocess_ef.main" title="core.scripts.preprocess_ef.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.preprocess_ef.get_parser" title="core.scripts.preprocess_ef.get_parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_parser</span></code></a>(→ argparse.ArgumentParser)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.preprocess_ef.write_images_to_lmdb">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.preprocess_ef.</span></span><span class="sig-name descname"><span class="pre">write_images_to_lmdb</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mp_arg</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.scripts.preprocess_ef.write_images_to_lmdb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.preprocess_ef.main">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.preprocess_ef.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">argparse.Namespace</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.preprocess_ef.main" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.preprocess_ef.get_parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.preprocess_ef.</span></span><span class="sig-name descname"><span class="pre">get_parser</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">argparse.ArgumentParser</span></span></span><a class="headerlink" href="#core.scripts.preprocess_ef.get_parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.preprocess_ef.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.preprocess_ef.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">argparse.ArgumentParser</span></em><a class="headerlink" href="#core.scripts.preprocess_ef.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_ef.write_images_to_lmdb"><code class="docutils literal notranslate"><span class="pre">write_images_to_lmdb()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_ef.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_ef.get_parser"><code class="docutils literal notranslate"><span class="pre">get_parser()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_ef.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+    <h1>core.scripts.preprocess_relaxed</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_relaxed.write_images_to_lmdb"><code class="docutils literal notranslate"><span class="pre">write_images_to_lmdb()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_relaxed.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_relaxed.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.scripts.preprocess_relaxed">
+<span id="core-scripts-preprocess-relaxed"></span><h1>core.scripts.preprocess_relaxed<a class="headerlink" href="#module-core.scripts.preprocess_relaxed" title="Link to this heading">#</a></h1>
+<p>Creates LMDB files with extracted graph features from provided <a href="#id1"><span class="problematic" id="id2">*</span></a>.extxyz files
+for the S2EF task.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.preprocess_relaxed.parser" title="core.scripts.preprocess_relaxed.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.preprocess_relaxed.write_images_to_lmdb" title="core.scripts.preprocess_relaxed.write_images_to_lmdb"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_images_to_lmdb</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.preprocess_relaxed.main" title="core.scripts.preprocess_relaxed.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.preprocess_relaxed.write_images_to_lmdb">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.preprocess_relaxed.</span></span><span class="sig-name descname"><span class="pre">write_images_to_lmdb</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mp_arg</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.preprocess_relaxed.write_images_to_lmdb" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.preprocess_relaxed.main">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.preprocess_relaxed.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.preprocess_relaxed.main" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.preprocess_relaxed.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.preprocess_relaxed.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><a class="headerlink" href="#core.scripts.preprocess_relaxed.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/scripts/preprocess_relaxed"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_relaxed.write_images_to_lmdb"><code class="docutils literal notranslate"><span class="pre">write_images_to_lmdb()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_relaxed.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.preprocess_relaxed.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+    <h1>core.scripts.uncompress</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.read_lzma"><code class="docutils literal notranslate"><span class="pre">read_lzma()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.decompress_list_of_files"><code class="docutils literal notranslate"><span class="pre">decompress_list_of_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.get_parser"><code class="docutils literal notranslate"><span class="pre">get_parser()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.scripts.uncompress">
+<span id="core-scripts-uncompress"></span><h1>core.scripts.uncompress<a class="headerlink" href="#module-core.scripts.uncompress" title="Link to this heading">#</a></h1>
+<p>Uncompresses downloaded S2EF datasets to be used by the LMDB preprocessing
+script - preprocess_ef.py</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.uncompress.parser" title="core.scripts.uncompress.parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parser</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.uncompress.read_lzma" title="core.scripts.uncompress.read_lzma"><code class="xref py py-obj docutils literal notranslate"><span class="pre">read_lzma</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.uncompress.decompress_list_of_files" title="core.scripts.uncompress.decompress_list_of_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">decompress_list_of_files</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.scripts.uncompress.get_parser" title="core.scripts.uncompress.get_parser"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_parser</span></code></a>(→ argparse.ArgumentParser)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.scripts.uncompress.main" title="core.scripts.uncompress.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>(→ None)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.uncompress.read_lzma">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.uncompress.</span></span><span class="sig-name descname"><span class="pre">read_lzma</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inpfile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.uncompress.read_lzma" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.uncompress.decompress_list_of_files">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.uncompress.</span></span><span class="sig-name descname"><span class="pre">decompress_list_of_files</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ip_op_pair</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.uncompress.decompress_list_of_files" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.uncompress.get_parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.uncompress.</span></span><span class="sig-name descname"><span class="pre">get_parser</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">argparse.ArgumentParser</span></span></span><a class="headerlink" href="#core.scripts.uncompress.get_parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="core.scripts.uncompress.main">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.uncompress.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">argparse.Namespace</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.scripts.uncompress.main" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="core.scripts.uncompress.parser">
+<span class="sig-prename descclassname"><span class="pre">core.scripts.uncompress.</span></span><span class="sig-name descname"><span class="pre">parser</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">argparse.ArgumentParser</span></em><a class="headerlink" href="#core.scripts.uncompress.parser" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+            ref: "master",
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+        codeMirrorConfig: {
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+            mode: "python"
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+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/core/scripts/uncompress"
+        },
+        predefinedOutput: true
+    }
+    </script>
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+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.read_lzma"><code class="docutils literal notranslate"><span class="pre">read_lzma()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.decompress_list_of_files"><code class="docutils literal notranslate"><span class="pre">decompress_list_of_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.get_parser"><code class="docutils literal notranslate"><span class="pre">get_parser()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.scripts.uncompress.parser"><code class="docutils literal notranslate"><span class="pre">parser</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.PredictTask"><code class="docutils literal notranslate"><span class="pre">PredictTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.PredictTask.run"><code class="docutils literal notranslate"><span class="pre">PredictTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.RelaxationTask"><code class="docutils literal notranslate"><span class="pre">RelaxationTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.RelaxationTask.run"><code class="docutils literal notranslate"><span class="pre">RelaxationTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.TrainTask"><code class="docutils literal notranslate"><span class="pre">TrainTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.TrainTask._process_error"><code class="docutils literal notranslate"><span class="pre">TrainTask._process_error()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.TrainTask.run"><code class="docutils literal notranslate"><span class="pre">TrainTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.ValidateTask"><code class="docutils literal notranslate"><span class="pre">ValidateTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.ValidateTask.run"><code class="docutils literal notranslate"><span class="pre">ValidateTask.run()</span></code></a></li>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.tasks">
+<span id="core-tasks"></span><h1>core.tasks<a class="headerlink" href="#module-core.tasks" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="task/index.html">core.tasks.task</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.tasks.PredictTask" title="core.tasks.PredictTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PredictTask</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.tasks.RelaxationTask" title="core.tasks.RelaxationTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RelaxationTask</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.tasks.TrainTask" title="core.tasks.TrainTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TrainTask</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.tasks.ValidateTask" title="core.tasks.ValidateTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ValidateTask</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.tasks.PredictTask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.tasks.</span></span><span class="sig-name descname"><span class="pre">PredictTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.PredictTask" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTask</span></code></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.PredictTask.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.PredictTask.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.tasks.RelaxationTask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.tasks.</span></span><span class="sig-name descname"><span class="pre">RelaxationTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.RelaxationTask" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTask</span></code></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.RelaxationTask.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.RelaxationTask.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.tasks.TrainTask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.tasks.</span></span><span class="sig-name descname"><span class="pre">TrainTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.TrainTask" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTask</span></code></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.TrainTask._process_error">
+<span class="sig-name descname"><span class="pre">_process_error</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">e</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">RuntimeError</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.TrainTask._process_error" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.TrainTask.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.TrainTask.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.tasks.ValidateTask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.tasks.</span></span><span class="sig-name descname"><span class="pre">ValidateTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.ValidateTask" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTask</span></code></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.ValidateTask.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.ValidateTask.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.PredictTask"><code class="docutils literal notranslate"><span class="pre">PredictTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.PredictTask.run"><code class="docutils literal notranslate"><span class="pre">PredictTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.RelaxationTask"><code class="docutils literal notranslate"><span class="pre">RelaxationTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.RelaxationTask.run"><code class="docutils literal notranslate"><span class="pre">RelaxationTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.TrainTask"><code class="docutils literal notranslate"><span class="pre">TrainTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.TrainTask._process_error"><code class="docutils literal notranslate"><span class="pre">TrainTask._process_error()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.TrainTask.run"><code class="docutils literal notranslate"><span class="pre">TrainTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.ValidateTask"><code class="docutils literal notranslate"><span class="pre">ValidateTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.ValidateTask.run"><code class="docutils literal notranslate"><span class="pre">ValidateTask.run()</span></code></a></li>
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+    <h1>core.tasks.task</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.BaseTask"><code class="docutils literal notranslate"><span class="pre">BaseTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.BaseTask.config"><code class="docutils literal notranslate"><span class="pre">BaseTask.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.BaseTask.setup"><code class="docutils literal notranslate"><span class="pre">BaseTask.setup()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.BaseTask.run"><code class="docutils literal notranslate"><span class="pre">BaseTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.TrainTask"><code class="docutils literal notranslate"><span class="pre">TrainTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.TrainTask._process_error"><code class="docutils literal notranslate"><span class="pre">TrainTask._process_error()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.TrainTask.run"><code class="docutils literal notranslate"><span class="pre">TrainTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.PredictTask"><code class="docutils literal notranslate"><span class="pre">PredictTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.PredictTask.run"><code class="docutils literal notranslate"><span class="pre">PredictTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.ValidateTask"><code class="docutils literal notranslate"><span class="pre">ValidateTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.ValidateTask.run"><code class="docutils literal notranslate"><span class="pre">ValidateTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.RelaxationTask"><code class="docutils literal notranslate"><span class="pre">RelaxationTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.RelaxationTask.run"><code class="docutils literal notranslate"><span class="pre">RelaxationTask.run()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+    </div>
+</div>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.tasks.task">
+<span id="core-tasks-task"></span><h1>core.tasks.task<a class="headerlink" href="#module-core.tasks.task" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.tasks.task.BaseTask" title="core.tasks.task.BaseTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTask</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.tasks.task.TrainTask" title="core.tasks.task.TrainTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TrainTask</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.tasks.task.PredictTask" title="core.tasks.task.PredictTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PredictTask</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.tasks.task.ValidateTask" title="core.tasks.task.ValidateTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ValidateTask</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.tasks.task.RelaxationTask" title="core.tasks.task.RelaxationTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RelaxationTask</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.tasks.task.BaseTask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.tasks.task.</span></span><span class="sig-name descname"><span class="pre">BaseTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.task.BaseTask" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="core.tasks.task.BaseTask.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.tasks.task.BaseTask.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.task.BaseTask.setup">
+<span class="sig-name descname"><span class="pre">setup</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trainer</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.task.BaseTask.setup" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.task.BaseTask.run">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.task.BaseTask.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.tasks.task.TrainTask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.tasks.task.</span></span><span class="sig-name descname"><span class="pre">TrainTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.task.TrainTask" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.tasks.task.BaseTask" title="core.tasks.task.BaseTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTask</span></code></a></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.task.TrainTask._process_error">
+<span class="sig-name descname"><span class="pre">_process_error</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">e</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">RuntimeError</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.task.TrainTask._process_error" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.task.TrainTask.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.task.TrainTask.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.tasks.task.PredictTask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.tasks.task.</span></span><span class="sig-name descname"><span class="pre">PredictTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.task.PredictTask" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.tasks.task.BaseTask" title="core.tasks.task.BaseTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTask</span></code></a></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.task.PredictTask.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.task.PredictTask.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.tasks.task.ValidateTask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.tasks.task.</span></span><span class="sig-name descname"><span class="pre">ValidateTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.task.ValidateTask" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.tasks.task.BaseTask" title="core.tasks.task.BaseTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTask</span></code></a></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.task.ValidateTask.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.task.ValidateTask.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.tasks.task.RelaxationTask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.tasks.task.</span></span><span class="sig-name descname"><span class="pre">RelaxationTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.tasks.task.RelaxationTask" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#core.tasks.task.BaseTask" title="core.tasks.task.BaseTask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTask</span></code></a></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.tasks.task.RelaxationTask.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.tasks.task.RelaxationTask.run" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.BaseTask"><code class="docutils literal notranslate"><span class="pre">BaseTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.BaseTask.config"><code class="docutils literal notranslate"><span class="pre">BaseTask.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.BaseTask.setup"><code class="docutils literal notranslate"><span class="pre">BaseTask.setup()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.BaseTask.run"><code class="docutils literal notranslate"><span class="pre">BaseTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.TrainTask"><code class="docutils literal notranslate"><span class="pre">TrainTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.TrainTask._process_error"><code class="docutils literal notranslate"><span class="pre">TrainTask._process_error()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.TrainTask.run"><code class="docutils literal notranslate"><span class="pre">TrainTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.PredictTask"><code class="docutils literal notranslate"><span class="pre">PredictTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.PredictTask.run"><code class="docutils literal notranslate"><span class="pre">PredictTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.ValidateTask"><code class="docutils literal notranslate"><span class="pre">ValidateTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.ValidateTask.run"><code class="docutils literal notranslate"><span class="pre">ValidateTask.run()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.RelaxationTask"><code class="docutils literal notranslate"><span class="pre">RelaxationTask</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.tasks.task.RelaxationTask.run"><code class="docutils literal notranslate"><span class="pre">RelaxationTask.run()</span></code></a></li>
+</ul>
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+</ul>
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diff --git a/autoapi/core/trainers/base_trainer/index.html b/autoapi/core/trainers/base_trainer/index.html
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>core.trainers.base_trainer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer"><code class="docutils literal notranslate"><span class="pre">BaseTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.name"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.is_debug"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.is_debug</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.cpu"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.cpu</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.epoch"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.epoch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.step"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.step</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.ema"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.ema</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.timestamp_id"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.timestamp_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.config"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.scaler"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.elementrefs"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.elementrefs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.normalizers"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.normalizers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.train_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.train_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.val_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.val_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.test_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.test_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.best_val_metric"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.best_val_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.primary_metric"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.primary_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.train"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer._get_timestamp"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._get_timestamp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.set_seed"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.set_seed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_seed_from_config"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_seed_from_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_logger"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_logger()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.get_sampler"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.get_sampler()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.get_dataloader"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.get_dataloader()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_datasets"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_datasets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_references_and_normalizers"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_references_and_normalizers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_task"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_task()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_model"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_model()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer._unwrapped_model"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._unwrapped_model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_checkpoint()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_loss"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_optimizer"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_optimizer()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_extras"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_extras()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.save"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.save()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.update_best"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.update_best()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer._aggregate_metrics"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._aggregate_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.validate"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.validate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer._backward"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._backward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.save_results"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.save_results()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.trainers.base_trainer">
+<span id="core-trainers-base-trainer"></span><h1>core.trainers.base_trainer<a class="headerlink" href="#module-core.trainers.base_trainer" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.trainers.base_trainer.BaseTrainer" title="core.trainers.base_trainer.BaseTrainer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTrainer</span></code></a></p></td>
+<td><p>Helper class that provides a standard way to create an ABC using</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.trainers.base_trainer.</span></span><span class="sig-name descname"><span class="pre">BaseTrainer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluation_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">identifier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_debug</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_every</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'wandb'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">amp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'ocp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slurm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gp_gpus</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
+<p>Helper class that provides a standard way to create an ABC using
+inheritance.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.name">
+<span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.is_debug">
+<span class="sig-name descname"><span class="pre">is_debug</span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.is_debug" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.cpu">
+<span class="sig-name descname"><span class="pre">cpu</span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.cpu" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.epoch">
+<span class="sig-name descname"><span class="pre">epoch</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.epoch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.step">
+<span class="sig-name descname"><span class="pre">step</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.step" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.ema">
+<span class="sig-name descname"><span class="pre">ema</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.ema" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.timestamp_id">
+<span class="sig-name descname"><span class="pre">timestamp_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.timestamp_id" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.scaler">
+<span class="sig-name descname"><span class="pre">scaler</span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.scaler" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.elementrefs">
+<span class="sig-name descname"><span class="pre">elementrefs</span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.elementrefs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.normalizers">
+<span class="sig-name descname"><span class="pre">normalizers</span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.normalizers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.train_dataset">
+<span class="sig-name descname"><span class="pre">train_dataset</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.train_dataset" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.val_dataset">
+<span class="sig-name descname"><span class="pre">val_dataset</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.val_dataset" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.test_dataset">
+<span class="sig-name descname"><span class="pre">test_dataset</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.test_dataset" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.best_val_metric">
+<span class="sig-name descname"><span class="pre">best_val_metric</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.best_val_metric" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.primary_metric">
+<span class="sig-name descname"><span class="pre">primary_metric</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.primary_metric" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.train">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disable_eval_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.train" title="Link to this definition">#</a></dt>
+<dd><p>Run model training iterations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer._get_timestamp">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_get_timestamp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.device</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">suffix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer._get_timestamp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load">
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.set_seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">set_seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.set_seed" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_seed_from_config">
+<span class="sig-name descname"><span class="pre">load_seed_from_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_seed_from_config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_logger">
+<span class="sig-name descname"><span class="pre">load_logger</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_logger" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.get_sampler">
+<span class="sig-name descname"><span class="pre">get_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">fairchem.core.common.data_parallel.BalancedBatchSampler</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.get_sampler" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.get_dataloader">
+<span class="sig-name descname"><span class="pre">get_dataloader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.utils.data.DataLoader</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.get_dataloader" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_datasets">
+<span class="sig-name descname"><span class="pre">load_datasets</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_datasets" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_references_and_normalizers">
+<span class="sig-name descname"><span class="pre">load_references_and_normalizers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_references_and_normalizers" title="Link to this definition">#</a></dt>
+<dd><p>Load or create element references and normalizers from config</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_task">
+<span class="sig-name descname"><span class="pre">load_task</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_task" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_model">
+<span class="sig-name descname"><span class="pre">load_model</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_model" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer._unwrapped_model">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_unwrapped_model</span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer._unwrapped_model" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_checkpoint">
+<span class="sig-name descname"><span class="pre">load_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_loss">
+<span class="sig-name descname"><span class="pre">load_loss</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_loss" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_optimizer">
+<span class="sig-name descname"><span class="pre">load_optimizer</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_optimizer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.load_extras">
+<span class="sig-name descname"><span class="pre">load_extras</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.load_extras" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'checkpoint.pt'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.save" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.update_best">
+<span class="sig-name descname"><span class="pre">update_best</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">primary_metric</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_metrics</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_eval_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.update_best" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer._aggregate_metrics">
+<span class="sig-name descname"><span class="pre">_aggregate_metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer._aggregate_metrics" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'val'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.validate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer._backward">
+<span class="sig-name descname"><span class="pre">_backward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer._backward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.base_trainer.BaseTrainer.save_results">
+<span class="sig-name descname"><span class="pre">save_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keys</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.base_trainer.BaseTrainer.save_results" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer"><code class="docutils literal notranslate"><span class="pre">BaseTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.name"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.is_debug"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.is_debug</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.cpu"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.cpu</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.epoch"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.epoch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.step"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.step</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.ema"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.ema</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.timestamp_id"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.timestamp_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.config"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.scaler"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.elementrefs"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.elementrefs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.normalizers"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.normalizers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.train_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.train_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.val_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.val_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.test_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.test_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.best_val_metric"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.best_val_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.primary_metric"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.primary_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.train"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer._get_timestamp"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._get_timestamp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.set_seed"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.set_seed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_seed_from_config"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_seed_from_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_logger"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_logger()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.get_sampler"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.get_sampler()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.get_dataloader"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.get_dataloader()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_datasets"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_datasets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_references_and_normalizers"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_references_and_normalizers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_task"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_task()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_model"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_model()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer._unwrapped_model"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._unwrapped_model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_checkpoint()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_loss"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_optimizer"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_optimizer()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.load_extras"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_extras()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.save"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.save()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.update_best"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.update_best()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer._aggregate_metrics"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._aggregate_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.validate"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.validate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer._backward"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._backward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.base_trainer.BaseTrainer.save_results"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.save_results()</span></code></a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>core.trainers</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer"><code class="docutils literal notranslate"><span class="pre">BaseTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.name"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.is_debug"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.is_debug</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.cpu"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.cpu</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.epoch"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.epoch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.step"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.step</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.ema"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.ema</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.timestamp_id"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.timestamp_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.config"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.scaler"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.elementrefs"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.elementrefs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.normalizers"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.normalizers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.train_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.train_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.val_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.val_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.test_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.test_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.best_val_metric"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.best_val_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.primary_metric"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.primary_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.train"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer._get_timestamp"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._get_timestamp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.set_seed"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.set_seed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_seed_from_config"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_seed_from_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_logger"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_logger()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.get_sampler"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.get_sampler()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.get_dataloader"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.get_dataloader()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_datasets"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_datasets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_references_and_normalizers"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_references_and_normalizers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_task"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_task()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_model"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_model()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer._unwrapped_model"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._unwrapped_model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_checkpoint()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_loss"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_optimizer"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_optimizer()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_extras"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_extras()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.save"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.save()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.update_best"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.update_best()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer._aggregate_metrics"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._aggregate_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.validate"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.validate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer._backward"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._backward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.save_results"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.save_results()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer"><code class="docutils literal notranslate"><span class="pre">OCPTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer.train"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer._denorm_preds"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._denorm_preds()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer._forward"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer._compute_loss"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._compute_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer._compute_metrics"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._compute_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer.predict"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer.run_relaxations"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.run_relaxations()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.trainers">
+<span id="core-trainers"></span><h1>core.trainers<a class="headerlink" href="#module-core.trainers" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="base_trainer/index.html">core.trainers.base_trainer</a></li>
+<li class="toctree-l1"><a class="reference internal" href="ocp_trainer/index.html">core.trainers.ocp_trainer</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.trainers.BaseTrainer" title="core.trainers.BaseTrainer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseTrainer</span></code></a></p></td>
+<td><p>Helper class that provides a standard way to create an ABC using</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#core.trainers.OCPTrainer" title="core.trainers.OCPTrainer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OCPTrainer</span></code></a></p></td>
+<td><p>Trainer class for the Structure to Energy &amp; Force (S2EF) and Initial State to</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.trainers.</span></span><span class="sig-name descname"><span class="pre">BaseTrainer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluation_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">identifier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_debug</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_every</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'wandb'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">amp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'ocp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slurm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gp_gpus</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.BaseTrainer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
+<p>Helper class that provides a standard way to create an ABC using
+inheritance.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.name">
+<span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#core.trainers.BaseTrainer.name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.is_debug">
+<span class="sig-name descname"><span class="pre">is_debug</span></span><a class="headerlink" href="#core.trainers.BaseTrainer.is_debug" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.cpu">
+<span class="sig-name descname"><span class="pre">cpu</span></span><a class="headerlink" href="#core.trainers.BaseTrainer.cpu" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.epoch">
+<span class="sig-name descname"><span class="pre">epoch</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.trainers.BaseTrainer.epoch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.step">
+<span class="sig-name descname"><span class="pre">step</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#core.trainers.BaseTrainer.step" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.ema">
+<span class="sig-name descname"><span class="pre">ema</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.BaseTrainer.ema" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.timestamp_id">
+<span class="sig-name descname"><span class="pre">timestamp_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#core.trainers.BaseTrainer.timestamp_id" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.config">
+<span class="sig-name descname"><span class="pre">config</span></span><a class="headerlink" href="#core.trainers.BaseTrainer.config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.scaler">
+<span class="sig-name descname"><span class="pre">scaler</span></span><a class="headerlink" href="#core.trainers.BaseTrainer.scaler" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.elementrefs">
+<span class="sig-name descname"><span class="pre">elementrefs</span></span><a class="headerlink" href="#core.trainers.BaseTrainer.elementrefs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.normalizers">
+<span class="sig-name descname"><span class="pre">normalizers</span></span><a class="headerlink" href="#core.trainers.BaseTrainer.normalizers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.train_dataset">
+<span class="sig-name descname"><span class="pre">train_dataset</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.BaseTrainer.train_dataset" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.val_dataset">
+<span class="sig-name descname"><span class="pre">val_dataset</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.BaseTrainer.val_dataset" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.test_dataset">
+<span class="sig-name descname"><span class="pre">test_dataset</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.BaseTrainer.test_dataset" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.best_val_metric">
+<span class="sig-name descname"><span class="pre">best_val_metric</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.BaseTrainer.best_val_metric" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.primary_metric">
+<span class="sig-name descname"><span class="pre">primary_metric</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#core.trainers.BaseTrainer.primary_metric" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.train">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disable_eval_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.train" title="Link to this definition">#</a></dt>
+<dd><p>Run model training iterations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer._get_timestamp">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_get_timestamp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.device</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">suffix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer._get_timestamp" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load">
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.load" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.set_seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">set_seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.set_seed" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_seed_from_config">
+<span class="sig-name descname"><span class="pre">load_seed_from_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.load_seed_from_config" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_logger">
+<span class="sig-name descname"><span class="pre">load_logger</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.load_logger" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.get_sampler">
+<span class="sig-name descname"><span class="pre">get_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">fairchem.core.common.data_parallel.BalancedBatchSampler</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.get_sampler" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.get_dataloader">
+<span class="sig-name descname"><span class="pre">get_dataloader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.utils.data.DataLoader</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.get_dataloader" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_datasets">
+<span class="sig-name descname"><span class="pre">load_datasets</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.load_datasets" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_references_and_normalizers">
+<span class="sig-name descname"><span class="pre">load_references_and_normalizers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.BaseTrainer.load_references_and_normalizers" title="Link to this definition">#</a></dt>
+<dd><p>Load or create element references and normalizers from config</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_task">
+<span class="sig-name descname"><span class="pre">load_task</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.BaseTrainer.load_task" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_model">
+<span class="sig-name descname"><span class="pre">load_model</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.load_model" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer._unwrapped_model">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_unwrapped_model</span></span><a class="headerlink" href="#core.trainers.BaseTrainer._unwrapped_model" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_checkpoint">
+<span class="sig-name descname"><span class="pre">load_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">checkpoint_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.load_checkpoint" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_loss">
+<span class="sig-name descname"><span class="pre">load_loss</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.load_loss" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_optimizer">
+<span class="sig-name descname"><span class="pre">load_optimizer</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.load_optimizer" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.load_extras">
+<span class="sig-name descname"><span class="pre">load_extras</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.load_extras" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'checkpoint.pt'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.save" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.update_best">
+<span class="sig-name descname"><span class="pre">update_best</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">primary_metric</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_metrics</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_eval_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.update_best" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer._aggregate_metrics">
+<span class="sig-name descname"><span class="pre">_aggregate_metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.BaseTrainer._aggregate_metrics" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'val'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.BaseTrainer.validate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer._backward">
+<span class="sig-name descname"><span class="pre">_backward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer._backward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.BaseTrainer.save_results">
+<span class="sig-name descname"><span class="pre">save_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.typing.NDArray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keys</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.BaseTrainer.save_results" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="core.trainers.OCPTrainer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.trainers.</span></span><span class="sig-name descname"><span class="pre">OCPTrainer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluation_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">identifier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_debug</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_every</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'wandb'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">amp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'ocp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slurm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gp_gpus</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.OCPTrainer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.trainers.base_trainer.BaseTrainer</span></code></p>
+<p>Trainer class for the Structure to Energy &amp; Force (S2EF) and Initial State to
+Relaxed State (IS2RS) tasks.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Examples of configurations for task, model, dataset and optimizer
+can be found in <a class="reference external" href="https://github.com/Open-Catalyst-Project/baselines/tree/master/configs/ocp_is2re/">configs/ocp_s2ef</a>
+and <a class="reference external" href="https://github.com/Open-Catalyst-Project/baselines/tree/master/configs/ocp_is2rs/">configs/ocp_is2rs</a>.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>task</strong> (<em>dict</em>) – Task configuration.</p></li>
+<li><p><strong>model</strong> (<em>dict</em>) – Model configuration.</p></li>
+<li><p><strong>outputs</strong> (<em>dict</em>) – Dictionary of model output configuration.</p></li>
+<li><p><strong>dataset</strong> (<em>dict</em>) – Dataset configuration. The dataset needs to be a SinglePointLMDB dataset.</p></li>
+<li><p><strong>optimizer</strong> (<em>dict</em>) – Optimizer configuration.</p></li>
+<li><p><strong>loss_functions</strong> (<em>dict</em>) – Loss function configuration.</p></li>
+<li><p><strong>evaluation_metrics</strong> (<em>dict</em>) – Evaluation metrics configuration.</p></li>
+<li><p><strong>identifier</strong> (<em>str</em>) – Experiment identifier that is appended to log directory.</p></li>
+<li><p><strong>run_dir</strong> (<em>str</em><em>, </em><em>optional</em>) – Path to the run directory where logs are to be saved.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>timestamp_id</strong> (<em>str</em><em>, </em><em>optional</em>) – timestamp identifier.</p></li>
+<li><p><strong>run_dir</strong> – Run directory used to save checkpoints and results.</p></li>
+<li><p><strong>is_debug</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run in debug mode.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>print_every</strong> (<em>int</em><em>, </em><em>optional</em>) – Frequency of printing logs.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">100</span></code>)</p></li>
+<li><p><strong>seed</strong> (<em>int</em><em>, </em><em>optional</em>) – Random number seed.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>logger</strong> (<em>str</em><em>, </em><em>optional</em>) – Type of logger to be used.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">wandb</span></code>)</p></li>
+<li><p><strong>local_rank</strong> (<em>int</em><em>, </em><em>optional</em>) – Local rank of the process, only applicable for distributed training.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">0</span></code>)</p></li>
+<li><p><strong>amp</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run using automatic mixed precision.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>cpu</strong> (<em>bool</em>) – If True will run on CPU. Default is False, will attempt to use cuda.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Trainer name.</p></li>
+<li><p><strong>slurm</strong> (<em>dict</em>) – Slurm configuration. Currently just for keeping track.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">{}</span></code>)</p></li>
+<li><p><strong>gp_gpus</strong> (<em>int</em><em>, </em><em>optional</em>) – Number of graph parallel GPUs.</p></li>
+<li><p><strong>inference_only</strong> (<em>bool</em>) – If true trainer will be loaded for inference only.
+(ie datasets, optimizer, schedular, etc, will not be instantiated)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.OCPTrainer.train">
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disable_eval_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.OCPTrainer.train" title="Link to this definition">#</a></dt>
+<dd><p>Run model training iterations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.OCPTrainer._denorm_preds">
+<span class="sig-name descname"><span class="pre">_denorm_preds</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target_key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.OCPTrainer._denorm_preds" title="Link to this definition">#</a></dt>
+<dd><p>Convert model output from a batch into raw prediction by denormalizing and adding references</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.OCPTrainer._forward">
+<span class="sig-name descname"><span class="pre">_forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.OCPTrainer._forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.OCPTrainer._compute_loss">
+<span class="sig-name descname"><span class="pre">_compute_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.trainers.OCPTrainer._compute_loss" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.OCPTrainer._compute_metrics">
+<span class="sig-name descname"><span class="pre">_compute_metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.OCPTrainer._compute_metrics" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.OCPTrainer.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_loader</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">per_image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.OCPTrainer.predict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.OCPTrainer.run_relaxations">
+<span class="sig-name descname"><span class="pre">run_relaxations</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.OCPTrainer.run_relaxations" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            theme: "abcdef",
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+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer"><code class="docutils literal notranslate"><span class="pre">BaseTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.name"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.name</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.is_debug"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.is_debug</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.cpu"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.cpu</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.epoch"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.epoch</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.step"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.step</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.ema"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.ema</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.timestamp_id"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.timestamp_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.config"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.config</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.scaler"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.scaler</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.elementrefs"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.elementrefs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.normalizers"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.normalizers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.train_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.train_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.val_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.val_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.test_dataset"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.test_dataset</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.best_val_metric"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.best_val_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.primary_metric"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.primary_metric</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.train"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer._get_timestamp"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._get_timestamp()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.set_seed"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.set_seed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_seed_from_config"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_seed_from_config()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_logger"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_logger()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.get_sampler"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.get_sampler()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.get_dataloader"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.get_dataloader()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_datasets"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_datasets()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_references_and_normalizers"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_references_and_normalizers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_task"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_task()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_model"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_model()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer._unwrapped_model"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._unwrapped_model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_checkpoint()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_loss"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_optimizer"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_optimizer()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.load_extras"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.load_extras()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.save"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.save()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.update_best"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.update_best()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer._aggregate_metrics"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._aggregate_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.validate"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.validate()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer._backward"><code class="docutils literal notranslate"><span class="pre">BaseTrainer._backward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.BaseTrainer.save_results"><code class="docutils literal notranslate"><span class="pre">BaseTrainer.save_results()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer"><code class="docutils literal notranslate"><span class="pre">OCPTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer.train"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer._denorm_preds"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._denorm_preds()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer._forward"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer._compute_loss"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._compute_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer._compute_metrics"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._compute_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer.predict"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.OCPTrainer.run_relaxations"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.run_relaxations()</span></code></a></li>
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+    <h1>core.trainers.ocp_trainer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer"><code class="docutils literal notranslate"><span class="pre">OCPTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer.train"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer._denorm_preds"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._denorm_preds()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer._forward"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer._compute_loss"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._compute_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer._compute_metrics"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._compute_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer.predict"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer.run_relaxations"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.run_relaxations()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+</ul>
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+</div>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-core.trainers.ocp_trainer">
+<span id="core-trainers-ocp-trainer"></span><h1>core.trainers.ocp_trainer<a class="headerlink" href="#module-core.trainers.ocp_trainer" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#core.trainers.ocp_trainer.OCPTrainer" title="core.trainers.ocp_trainer.OCPTrainer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OCPTrainer</span></code></a></p></td>
+<td><p>Trainer class for the Structure to Energy &amp; Force (S2EF) and Initial State to</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="core.trainers.ocp_trainer.OCPTrainer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">core.trainers.ocp_trainer.</span></span><span class="sig-name descname"><span class="pre">OCPTrainer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_functions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluation_metrics</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">identifier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_debug</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_every</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logger</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'wandb'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">amp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'ocp'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slurm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gp_gpus</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_only</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.ocp_trainer.OCPTrainer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.core.trainers.base_trainer.BaseTrainer</span></code></p>
+<p>Trainer class for the Structure to Energy &amp; Force (S2EF) and Initial State to
+Relaxed State (IS2RS) tasks.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Examples of configurations for task, model, dataset and optimizer
+can be found in <a class="reference external" href="https://github.com/Open-Catalyst-Project/baselines/tree/master/configs/ocp_is2re/">configs/ocp_s2ef</a>
+and <a class="reference external" href="https://github.com/Open-Catalyst-Project/baselines/tree/master/configs/ocp_is2rs/">configs/ocp_is2rs</a>.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>task</strong> (<em>dict</em>) – Task configuration.</p></li>
+<li><p><strong>model</strong> (<em>dict</em>) – Model configuration.</p></li>
+<li><p><strong>outputs</strong> (<em>dict</em>) – Dictionary of model output configuration.</p></li>
+<li><p><strong>dataset</strong> (<em>dict</em>) – Dataset configuration. The dataset needs to be a SinglePointLMDB dataset.</p></li>
+<li><p><strong>optimizer</strong> (<em>dict</em>) – Optimizer configuration.</p></li>
+<li><p><strong>loss_functions</strong> (<em>dict</em>) – Loss function configuration.</p></li>
+<li><p><strong>evaluation_metrics</strong> (<em>dict</em>) – Evaluation metrics configuration.</p></li>
+<li><p><strong>identifier</strong> (<em>str</em>) – Experiment identifier that is appended to log directory.</p></li>
+<li><p><strong>run_dir</strong> (<em>str</em><em>, </em><em>optional</em>) – Path to the run directory where logs are to be saved.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>timestamp_id</strong> (<em>str</em><em>, </em><em>optional</em>) – timestamp identifier.</p></li>
+<li><p><strong>run_dir</strong> – Run directory used to save checkpoints and results.</p></li>
+<li><p><strong>is_debug</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run in debug mode.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>print_every</strong> (<em>int</em><em>, </em><em>optional</em>) – Frequency of printing logs.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">100</span></code>)</p></li>
+<li><p><strong>seed</strong> (<em>int</em><em>, </em><em>optional</em>) – Random number seed.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
+<li><p><strong>logger</strong> (<em>str</em><em>, </em><em>optional</em>) – Type of logger to be used.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">wandb</span></code>)</p></li>
+<li><p><strong>local_rank</strong> (<em>int</em><em>, </em><em>optional</em>) – Local rank of the process, only applicable for distributed training.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">0</span></code>)</p></li>
+<li><p><strong>amp</strong> (<em>bool</em><em>, </em><em>optional</em>) – Run using automatic mixed precision.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
+<li><p><strong>cpu</strong> (<em>bool</em>) – If True will run on CPU. Default is False, will attempt to use cuda.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Trainer name.</p></li>
+<li><p><strong>slurm</strong> (<em>dict</em>) – Slurm configuration. Currently just for keeping track.
+(default: <code class="xref py py-obj docutils literal notranslate"><span class="pre">{}</span></code>)</p></li>
+<li><p><strong>gp_gpus</strong> (<em>int</em><em>, </em><em>optional</em>) – Number of graph parallel GPUs.</p></li>
+<li><p><strong>inference_only</strong> (<em>bool</em>) – If true trainer will be loaded for inference only.
+(ie datasets, optimizer, schedular, etc, will not be instantiated)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.ocp_trainer.OCPTrainer.train">
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disable_eval_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#core.trainers.ocp_trainer.OCPTrainer.train" title="Link to this definition">#</a></dt>
+<dd><p>Run model training iterations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.ocp_trainer.OCPTrainer._denorm_preds">
+<span class="sig-name descname"><span class="pre">_denorm_preds</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target_key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prediction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">torch_geometric.data.Batch</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.ocp_trainer.OCPTrainer._denorm_preds" title="Link to this definition">#</a></dt>
+<dd><p>Convert model output from a batch into raw prediction by denormalizing and adding references</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.ocp_trainer.OCPTrainer._forward">
+<span class="sig-name descname"><span class="pre">_forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.ocp_trainer.OCPTrainer._forward" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.ocp_trainer.OCPTrainer._compute_loss">
+<span class="sig-name descname"><span class="pre">_compute_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">torch.Tensor</span></span></span><a class="headerlink" href="#core.trainers.ocp_trainer.OCPTrainer._compute_loss" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.ocp_trainer.OCPTrainer._compute_metrics">
+<span class="sig-name descname"><span class="pre">_compute_metrics</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evaluator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metrics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.ocp_trainer.OCPTrainer._compute_metrics" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.ocp_trainer.OCPTrainer.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_loader</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">per_image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_tqdm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.ocp_trainer.OCPTrainer.predict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="core.trainers.ocp_trainer.OCPTrainer.run_relaxations">
+<span class="sig-name descname"><span class="pre">run_relaxations</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#core.trainers.ocp_trainer.OCPTrainer.run_relaxations" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer"><code class="docutils literal notranslate"><span class="pre">OCPTrainer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer.train"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.train()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer._denorm_preds"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._denorm_preds()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer._forward"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._forward()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer._compute_loss"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._compute_loss()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer._compute_metrics"><code class="docutils literal notranslate"><span class="pre">OCPTrainer._compute_metrics()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer.predict"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.predict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#core.trainers.ocp_trainer.OCPTrainer.run_relaxations"><code class="docutils literal notranslate"><span class="pre">OCPTrainer.run_relaxations()</span></code></a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../core/datasets/oc20dense.html">Open Catalyst 2020 Dense (OC20Dense)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../core/datasets/oc20neb.html">Open Catalyst 2020 Nudged Elastic Band (OC20NEB)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../core/datasets/omat24.html">Open Materials 2024 (OMat24)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../core/datasets/ocx24.html">Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models</a></li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Making your own datasets</span></p>
+<ul class="nav bd-sidenav">
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+</ul>
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/NRR/NRR_toc.html">Screening catalysts with OCP</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/NRR/NRR_example.html">Using OCP to enumerate adsorbates on alloy catalyst surfaces</a></li>
+
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+</details></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/advanced/advanced_toc.html">Advanced OCP usage</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/advanced/fine-tuning-in-python.html">Fine-tuning with Python</a></li>
+
+
+
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/advanced/embeddings.html">Working with embeddings</a></li>
+
+
+
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../../legacy_tutorials/legacy_tutorials.html">Legacy [deprecated] Tutorials</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+
+
+<li class="toctree-l2"><a class="reference internal" href="../../legacy_tutorials/data_preprocessing.html">OCP Data Preprocessing Tutorial</a></li>
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+
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>data.oc.core.adsorbate</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate"><code class="docutils literal notranslate"><span class="pre">Adsorbate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.adsorbate_id_from_db"><code class="docutils literal notranslate"><span class="pre">Adsorbate.adsorbate_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.adsorbate_db_path"><code class="docutils literal notranslate"><span class="pre">Adsorbate.adsorbate_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.__len__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.__str__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.__repr__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate._get_adsorbate_from_random"><code class="docutils literal notranslate"><span class="pre">Adsorbate._get_adsorbate_from_random()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate._load_adsorbate"><code class="docutils literal notranslate"><span class="pre">Adsorbate._load_adsorbate()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.randomly_rotate_adsorbate"><code class="docutils literal notranslate"><span class="pre">randomly_rotate_adsorbate()</span></code></a></li>
+</ul>
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+</ul>
+            </nav>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.core.adsorbate">
+<span id="data-oc-core-adsorbate"></span><h1>data.oc.core.adsorbate<a class="headerlink" href="#module-data.oc.core.adsorbate" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.adsorbate.Adsorbate" title="data.oc.core.adsorbate.Adsorbate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Adsorbate</span></code></a></p></td>
+<td><p>Initializes an adsorbate object in one of 4 ways:</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.adsorbate.randomly_rotate_adsorbate" title="data.oc.core.adsorbate.randomly_rotate_adsorbate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">randomly_rotate_adsorbate</span></code></a>(adsorbate_atoms[, mode, ...])</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate.Adsorbate">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.adsorbate.</span></span><span class="sig-name descname"><span class="pre">Adsorbate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_smiles_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">ADSORBATE_PKL_PATH</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_binding_indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate.Adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Initializes an adsorbate object in one of 4 ways:
+- Directly pass in an ase.Atoms object.</p>
+<blockquote>
+<div><p>For this, you should also provide the index of the binding atom.</p>
+</div></blockquote>
+<ul class="simple">
+<li><p>Pass in index of adsorbate to select from adsorbate database.</p></li>
+<li><p>Pass in the SMILES string of the adsorbate to select from the database.</p></li>
+<li><p>Randomly sample an adsorbate from the adsorbate database.</p></li>
+</ul>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate_atoms</strong> (<em>ase.Atoms</em>) – Adsorbate structure.</p></li>
+<li><p><strong>adsorbate_id_from_db</strong> (<em>int</em>) – Index of adsorbate to select.</p></li>
+<li><p><strong>adsorbate_smiles_from_db</strong> (<em>str</em>) – A SMILES string of the desired adsorbate.</p></li>
+<li><p><strong>adsorbate_db_path</strong> (<em>str</em>) – Path to adsorbate database.</p></li>
+<li><p><strong>adsorbate_binding_indices</strong> (<em>list</em>) – The index/indices of the adsorbate atoms which are expected to bind.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate.Adsorbate.adsorbate_id_from_db">
+<span class="sig-name descname"><span class="pre">adsorbate_id_from_db</span></span><a class="headerlink" href="#data.oc.core.adsorbate.Adsorbate.adsorbate_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate.Adsorbate.adsorbate_db_path">
+<span class="sig-name descname"><span class="pre">adsorbate_db_path</span></span><a class="headerlink" href="#data.oc.core.adsorbate.Adsorbate.adsorbate_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate.Adsorbate.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate.Adsorbate.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate.Adsorbate.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate.Adsorbate.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate.Adsorbate.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate.Adsorbate.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate.Adsorbate._get_adsorbate_from_random">
+<span class="sig-name descname"><span class="pre">_get_adsorbate_from_random</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_db</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate.Adsorbate._get_adsorbate_from_random" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate.Adsorbate._load_adsorbate">
+<span class="sig-name descname"><span class="pre">_load_adsorbate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#data.oc.core.adsorbate.Adsorbate._load_adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Saves the fields from an adsorbate stored in a database. Fields added
+after the first revision are conditionally added for backwards
+compatibility with older database files.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate.randomly_rotate_adsorbate">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.adsorbate.</span></span><span class="sig-name descname"><span class="pre">randomly_rotate_adsorbate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'random'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binding_idx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate.randomly_rotate_adsorbate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
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+    <i class="fa-solid fa-list"></i> Contents
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate"><code class="docutils literal notranslate"><span class="pre">Adsorbate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.adsorbate_id_from_db"><code class="docutils literal notranslate"><span class="pre">Adsorbate.adsorbate_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.adsorbate_db_path"><code class="docutils literal notranslate"><span class="pre">Adsorbate.adsorbate_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.__len__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.__str__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate.__repr__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate._get_adsorbate_from_random"><code class="docutils literal notranslate"><span class="pre">Adsorbate._get_adsorbate_from_random()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.Adsorbate._load_adsorbate"><code class="docutils literal notranslate"><span class="pre">Adsorbate._load_adsorbate()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate.randomly_rotate_adsorbate"><code class="docutils literal notranslate"><span class="pre">randomly_rotate_adsorbate()</span></code></a></li>
+</ul>
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+</ul>
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+    <h1>data.oc.core.adsorbate_slab_config</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.num_sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_augmentations_per_site"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.num_augmentations_per_site</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.interstitial_gap"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.mode"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.mode</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.get_binding_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.get_binding_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.place_adsorbate_on_site"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.place_adsorbate_on_site()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.place_adsorbate_on_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.place_adsorbate_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._get_scaled_normal"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig._get_scaled_normal()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._find_combos_to_check"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig._find_combos_to_check()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._get_projected_points"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig._get_projected_points()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.get_metadata_dict()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.get_random_sites_on_triangle"><code class="docutils literal notranslate"><span class="pre">get_random_sites_on_triangle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.custom_tile_atoms"><code class="docutils literal notranslate"><span class="pre">custom_tile_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.get_interstitial_distances"><code class="docutils literal notranslate"><span class="pre">get_interstitial_distances()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.there_is_overlap"><code class="docutils literal notranslate"><span class="pre">there_is_overlap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.core.adsorbate_slab_config">
+<span id="data-oc-core-adsorbate-slab-config"></span><h1>data.oc.core.adsorbate_slab_config<a class="headerlink" href="#module-data.oc.core.adsorbate_slab_config" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig" title="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabConfig</span></code></a></p></td>
+<td><p>Initializes a list of adsorbate-catalyst systems for a given Adsorbate and Slab.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.adsorbate_slab_config.get_random_sites_on_triangle" title="data.oc.core.adsorbate_slab_config.get_random_sites_on_triangle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_sites_on_triangle</span></code></a>(vertices[, num_sites])</p></td>
+<td><p>Sample <cite>num_sites</cite> random sites uniformly on a given 3D triangle.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.adsorbate_slab_config.custom_tile_atoms" title="data.oc.core.adsorbate_slab_config.custom_tile_atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">custom_tile_atoms</span></code></a>(atoms)</p></td>
+<td><p>Tile the atoms so that the center tile has the indices and positions of the</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.adsorbate_slab_config.get_interstitial_distances" title="data.oc.core.adsorbate_slab_config.get_interstitial_distances"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_interstitial_distances</span></code></a>(adsorbate_slab_config)</p></td>
+<td><p>Check to see if there is any atomic overlap between surface atoms</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.adsorbate_slab_config.there_is_overlap" title="data.oc.core.adsorbate_slab_config.there_is_overlap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">there_is_overlap</span></code></a>(adsorbate_slab_config)</p></td>
+<td><p>Check to see if there is any atomic overlap between surface atoms</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.adsorbate_slab_config.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabConfig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Adsorbate</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_augmentations_per_site</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'random'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig" title="Link to this definition">#</a></dt>
+<dd><p>Initializes a list of adsorbate-catalyst systems for a given Adsorbate and Slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>slab</strong> (<a class="reference internal" href="../index.html#data.oc.core.Slab" title="data.oc.core.Slab"><em>Slab</em></a>) – Slab object.</p></li>
+<li><p><strong>adsorbate</strong> (<a class="reference internal" href="../adsorbate/index.html#data.oc.core.adsorbate.Adsorbate" title="data.oc.core.adsorbate.Adsorbate"><em>Adsorbate</em></a>) – Adsorbate object.</p></li>
+<li><p><strong>num_sites</strong> (<em>int</em>) – Number of sites to sample.</p></li>
+<li><p><strong>num_augmentations_per_site</strong> (<em>int</em>) – Number of augmentations of the adsorbate per site. Total number of
+generated structures will be <cite>num_sites</cite> * <cite>num_augmentations_per_site</cite>.</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – Minimum distance in Angstroms between adsorbate and slab atoms.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – <p>“random”, “heuristic”, or “random_site_heuristic_placement”.
+This affects surface site sampling and adsorbate placement on each site.</p>
+<p>In “random”, we do a Delaunay triangulation of the surface atoms, then
+sample sites uniformly at random within each triangle. When placing the
+adsorbate, we randomly rotate it along xyz, and place it such that the
+center of mass is at the site.</p>
+<p>In “heuristic”, we use Pymatgen’s AdsorbateSiteFinder to find the most
+energetically favorable sites, i.e., ontop, bridge, or hollow sites.
+When placing the adsorbate, we randomly rotate it along z with only
+slight rotation along x and y, and place it such that the binding atom
+is at the site.</p>
+<p>In “random_site_heuristic_placement”, we do a Delaunay triangulation of
+the surface atoms, then sample sites uniformly at random within each
+triangle. When placing the adsorbate, we randomly rotate it along z with
+only slight rotation along x and y, and place it such that the binding
+atom is at the site.</p>
+<p>In all cases, the adsorbate is placed at the closest position of no
+overlap with the slab plus <cite>interstitial_gap</cite> along the surface normal.</p>
+</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.slab" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.adsorbate">
+<span class="sig-name descname"><span class="pre">adsorbate</span></span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.adsorbate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_sites">
+<span class="sig-name descname"><span class="pre">num_sites</span></span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_sites" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_augmentations_per_site">
+<span class="sig-name descname"><span class="pre">num_augmentations_per_site</span></span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_augmentations_per_site" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.interstitial_gap">
+<span class="sig-name descname"><span class="pre">interstitial_gap</span></span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.interstitial_gap" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.mode">
+<span class="sig-name descname"><span class="pre">mode</span></span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.mode" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.sites">
+<span class="sig-name descname"><span class="pre">sites</span></span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.sites" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.get_binding_sites">
+<span class="sig-name descname"><span class="pre">get_binding_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.get_binding_sites" title="Link to this definition">#</a></dt>
+<dd><p>Returns up to <cite>num_sites</cite> sites given the surface atoms’ positions.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.place_adsorbate_on_site">
+<span class="sig-name descname"><span class="pre">place_adsorbate_on_site</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Adsorbate</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">site</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.place_adsorbate_on_site" title="Link to this definition">#</a></dt>
+<dd><p>Place the adsorbate at the given binding site.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.place_adsorbate_on_sites">
+<span class="sig-name descname"><span class="pre">place_adsorbate_on_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_augmentations_per_site</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.place_adsorbate_on_sites" title="Link to this definition">#</a></dt>
+<dd><p>Place the adsorbate at the given binding sites.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._get_scaled_normal">
+<span class="sig-name descname"><span class="pre">_get_scaled_normal</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_c</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_c</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">site</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit_normal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._get_scaled_normal" title="Link to this definition">#</a></dt>
+<dd><p>Get the scaled normal that gives a proximate configuration without atomic
+overlap by:</p>
+<blockquote>
+<div><ol class="arabic simple">
+<li><p>Projecting the adsorbate and surface atoms onto the surface plane.</p></li>
+<li><dl class="simple">
+<dt>Identify all adsorbate atom - surface atom combinations for which</dt><dd><p>an itersection when translating along the normal would occur.
+This is where the distance between the projected points is less than
+r_surface_atom + r_adsorbate_atom</p>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>Explicitly solve for the scaled normal at which the distance between</dt><dd><p>surface atom and adsorbate atom = r_surface_atom + r_adsorbate_atom +
+interstitial_gap. This exploits the superposition of vectors and the
+distance formula, so it requires root finding.</p>
+</dd>
+</dl>
+</li>
+</ol>
+</div></blockquote>
+<p>Assumes that the adsorbate’s binding atom or center-of-mass (depending
+on mode) is already placed at the site.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate_c</strong> (<em>ase.Atoms</em>) – A copy of the adsorbate with coordinates at the site</p></li>
+<li><p><strong>slab_c</strong> (<em>ase.Atoms</em>) – A copy of the slab</p></li>
+<li><p><strong>site</strong> (<em>np.ndarray</em>) – the coordinate of the site</p></li>
+<li><p><strong>adsorbate_atoms</strong> (<em>ase.Atoms</em>) – the translated adsorbate</p></li>
+<li><p><strong>unit_normal</strong> (<em>np.ndarray</em>) – the unit vector normal to the surface</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – the desired distance between the covalent radii of the
+closest surface and adsorbate atom</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the magnitude of the normal vector for placement</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(float)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._find_combos_to_check">
+<span class="sig-name descname"><span class="pre">_find_combos_to_check</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_c2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_c2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit_normal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._find_combos_to_check" title="Link to this definition">#</a></dt>
+<dd><p>Find the pairs of surface and adsorbate atoms that would have an intersection event
+while traversing the normal vector. For each pair, return pertanent information for
+finding the point of intersection.
+:param adsorbate_c2: A copy of the adsorbate with coordinates at the centered site
+:type adsorbate_c2: ase.Atoms
+:param slab_c2: A copy of the slab with atoms wrapped s.t. things are centered</p>
+<blockquote>
+<div><p>about the site</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>unit_normal</strong> (<em>np.ndarray</em>) – the unit vector normal to the surface</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – the desired distance between the covalent radii of the
+closest surface and adsorbate atom</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>each entry in the list corresponds to one pair to check. With the</dt><dd><dl class="simple">
+<dt>following information:</dt><dd><p>[(adsorbate_idx, slab_idx), r_adsorbate_atom + r_slab_atom, slab_atom_position]</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(list[lists])</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._get_projected_points">
+<span class="sig-name descname"><span class="pre">_get_projected_points</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_c2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_c2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit_normal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._get_projected_points" title="Link to this definition">#</a></dt>
+<dd><p>Find the x and y coordinates of each atom projected onto the surface plane.
+:param adsorbate_c2: A copy of the adsorbate with coordinates at the centered site
+:type adsorbate_c2: ase.Atoms
+:param slab_c2: A copy of the slab with atoms wrapped s.t. things are centered</p>
+<blockquote>
+<div><p>about the site</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>unit_normal</strong> (<em>np.ndarray</em>) – the unit vector normal to the surface</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>{“ads”: [[x1, y1], [x2, y2], …], “slab”: [[x1, y1], [x2, y2], …],}</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(dict)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.get_metadata_dict">
+<span class="sig-name descname"><span class="pre">get_metadata_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ind</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.get_metadata_dict" title="Link to this definition">#</a></dt>
+<dd><p>Returns a dict containing the atoms object and metadata for
+one specified config, used for writing to files.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.get_random_sites_on_triangle">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.adsorbate_slab_config.</span></span><span class="sig-name descname"><span class="pre">get_random_sites_on_triangle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vertices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.get_random_sites_on_triangle" title="Link to this definition">#</a></dt>
+<dd><p>Sample <cite>num_sites</cite> random sites uniformly on a given 3D triangle.
+Following Sec. 4.2 from <a class="reference external" href="https://www.cs.princeton.edu/~funk/tog02.pdf">https://www.cs.princeton.edu/~funk/tog02.pdf</a>.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.custom_tile_atoms">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.adsorbate_slab_config.</span></span><span class="sig-name descname"><span class="pre">custom_tile_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.custom_tile_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Tile the atoms so that the center tile has the indices and positions of the
+untiled structure.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>atoms</strong> (<em>ase.Atoms</em>) – the atoms object to be tiled</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>the tiled atoms which has been repeated 3 times in</dt><dd><p>the x and y directions but maintains the original indices on the central
+unit cell.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(ase.Atoms)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.get_interstitial_distances">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.adsorbate_slab_config.</span></span><span class="sig-name descname"><span class="pre">get_interstitial_distances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_slab_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.get_interstitial_distances" title="Link to this definition">#</a></dt>
+<dd><p>Check to see if there is any atomic overlap between surface atoms
+and adsorbate atoms.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>adsorbate_slab_configuration</strong> (<em>ase.Atoms</em>) – an slab atoms object with an
+adsorbate placed</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>True if there is atomic overlap, otherwise False</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.adsorbate_slab_config.there_is_overlap">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.adsorbate_slab_config.</span></span><span class="sig-name descname"><span class="pre">there_is_overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_slab_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.adsorbate_slab_config.there_is_overlap" title="Link to this definition">#</a></dt>
+<dd><p>Check to see if there is any atomic overlap between surface atoms
+and adsorbate atoms.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>adsorbate_slab_configuration</strong> (<em>ase.Atoms</em>) – an slab atoms object with an
+adsorbate placed</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>True if there is atomic overlap, otherwise False</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.num_sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_augmentations_per_site"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.num_augmentations_per_site</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.interstitial_gap"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.mode"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.mode</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.sites</span></code></a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>data.oc.core.bulk</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.bulk_id_from_db"><code class="docutils literal notranslate"><span class="pre">Bulk.bulk_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.bulk_db_path"><code class="docutils literal notranslate"><span class="pre">Bulk.bulk_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk._get_bulk_from_random"><code class="docutils literal notranslate"><span class="pre">Bulk._get_bulk_from_random()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.set_source_dataset_id"><code class="docutils literal notranslate"><span class="pre">Bulk.set_source_dataset_id()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.set_bulk_id_from_db"><code class="docutils literal notranslate"><span class="pre">Bulk.set_bulk_id_from_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.get_slabs"><code class="docutils literal notranslate"><span class="pre">Bulk.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.__len__"><code class="docutils literal notranslate"><span class="pre">Bulk.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.__str__"><code class="docutils literal notranslate"><span class="pre">Bulk.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.__repr__"><code class="docutils literal notranslate"><span class="pre">Bulk.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.__eq__"><code class="docutils literal notranslate"><span class="pre">Bulk.__eq__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
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+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.core.bulk">
+<span id="data-oc-core-bulk"></span><h1>data.oc.core.bulk<a class="headerlink" href="#module-data.oc.core.bulk" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.bulk.Bulk" title="data.oc.core.bulk.Bulk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bulk</span></code></a></p></td>
+<td><p>Initializes a bulk object in one of 4 ways:</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.bulk.</span></span><span class="sig-name descname"><span class="pre">Bulk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_src_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">BULK_PKL_PATH</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.bulk.Bulk" title="Link to this definition">#</a></dt>
+<dd><p>Initializes a bulk object in one of 4 ways:
+- Directly pass in an ase.Atoms object.
+- Pass in index of bulk to select from bulk database.
+- Pass in the src_id of the bulk to select from the bulk database.
+- Randomly sample a bulk from bulk database if no other option is passed.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bulk_atoms</strong> (<em>ase.Atoms</em>) – Bulk structure.</p></li>
+<li><p><strong>bulk_id_from_db</strong> (<em>int</em>) – Index of bulk in database pkl to select.</p></li>
+<li><p><strong>bulk_src_id_from_db</strong> (<em>int</em>) – Src id of bulk to select (e.g. “mp-30”).</p></li>
+<li><p><strong>bulk_db_path</strong> (<em>str</em>) – Path to bulk database.</p></li>
+<li><p><strong>bulk_db</strong> (<em>List</em><em>[</em><em>Dict</em><em>[</em><em>str</em><em>, </em><em>Any</em><em>]</em><em>]</em>) – Already-loaded database.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk.bulk_id_from_db">
+<span class="sig-name descname"><span class="pre">bulk_id_from_db</span></span><a class="headerlink" href="#data.oc.core.bulk.Bulk.bulk_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk.bulk_db_path">
+<span class="sig-name descname"><span class="pre">bulk_db_path</span></span><a class="headerlink" href="#data.oc.core.bulk.Bulk.bulk_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk._get_bulk_from_random">
+<span class="sig-name descname"><span class="pre">_get_bulk_from_random</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_db</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.bulk.Bulk._get_bulk_from_random" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk.set_source_dataset_id">
+<span class="sig-name descname"><span class="pre">set_source_dataset_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">src_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.bulk.Bulk.set_source_dataset_id" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk.set_bulk_id_from_db">
+<span class="sig-name descname"><span class="pre">set_bulk_id_from_db</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.bulk.Bulk.set_bulk_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk.get_slabs">
+<span class="sig-name descname"><span class="pre">get_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">precomputed_slabs_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.bulk.Bulk.get_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Returns a list of possible slabs for this bulk instance.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.bulk.Bulk.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.bulk.Bulk.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.bulk.Bulk.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.bulk.Bulk.__eq__">
+<span class="sig-name descname"><span class="pre">__eq__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#data.oc.core.bulk.Bulk.__eq__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.bulk_id_from_db"><code class="docutils literal notranslate"><span class="pre">Bulk.bulk_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.bulk_db_path"><code class="docutils literal notranslate"><span class="pre">Bulk.bulk_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk._get_bulk_from_random"><code class="docutils literal notranslate"><span class="pre">Bulk._get_bulk_from_random()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.set_source_dataset_id"><code class="docutils literal notranslate"><span class="pre">Bulk.set_source_dataset_id()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.set_bulk_id_from_db"><code class="docutils literal notranslate"><span class="pre">Bulk.set_bulk_id_from_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.get_slabs"><code class="docutils literal notranslate"><span class="pre">Bulk.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.__len__"><code class="docutils literal notranslate"><span class="pre">Bulk.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.__str__"><code class="docutils literal notranslate"><span class="pre">Bulk.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.__repr__"><code class="docutils literal notranslate"><span class="pre">Bulk.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.bulk.Bulk.__eq__"><code class="docutils literal notranslate"><span class="pre">Bulk.__eq__()</span></code></a></li>
+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>data.oc.core</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate"><code class="docutils literal notranslate"><span class="pre">Adsorbate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.adsorbate_id_from_db"><code class="docutils literal notranslate"><span class="pre">Adsorbate.adsorbate_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.adsorbate_db_path"><code class="docutils literal notranslate"><span class="pre">Adsorbate.adsorbate_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.__len__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.__str__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.__repr__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate._get_adsorbate_from_random"><code class="docutils literal notranslate"><span class="pre">Adsorbate._get_adsorbate_from_random()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate._load_adsorbate"><code class="docutils literal notranslate"><span class="pre">Adsorbate._load_adsorbate()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.num_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.num_sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.num_augmentations_per_site"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.num_augmentations_per_site</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.interstitial_gap"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.mode"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.mode</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.get_binding_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.get_binding_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_site"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.place_adsorbate_on_site()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.place_adsorbate_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig._get_scaled_normal"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig._get_scaled_normal()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig._find_combos_to_check"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig._find_combos_to_check()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig._get_projected_points"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig._get_projected_points()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.get_metadata_dict()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.bulk_id_from_db"><code class="docutils literal notranslate"><span class="pre">Bulk.bulk_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.bulk_db_path"><code class="docutils literal notranslate"><span class="pre">Bulk.bulk_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk._get_bulk_from_random"><code class="docutils literal notranslate"><span class="pre">Bulk._get_bulk_from_random()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.set_source_dataset_id"><code class="docutils literal notranslate"><span class="pre">Bulk.set_source_dataset_id()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.set_bulk_id_from_db"><code class="docutils literal notranslate"><span class="pre">Bulk.set_bulk_id_from_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.get_slabs"><code class="docutils literal notranslate"><span class="pre">Bulk.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.__len__"><code class="docutils literal notranslate"><span class="pre">Bulk.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.__str__"><code class="docutils literal notranslate"><span class="pre">Bulk.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.__repr__"><code class="docutils literal notranslate"><span class="pre">Bulk.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.__eq__"><code class="docutils literal notranslate"><span class="pre">Bulk.__eq__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.solvent"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.ions"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.ions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.vacuum_size"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.vacuum_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.solvent_depth"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent_depth</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.solvent_interstitial_gap"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent_interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.pbc_shift"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.pbc_shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.packmol_tolerance"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.packmol_tolerance</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.n_mol_per_volume"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.n_mol_per_volume</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.create_interface_on_sites"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.create_interface_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.create_packmol_atoms"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.create_packmol_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.run_packmol"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.run_packmol()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.randomize_coords"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.randomize_coords()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion"><code class="docutils literal notranslate"><span class="pre">Ion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.ion_id_from_db"><code class="docutils literal notranslate"><span class="pre">Ion.ion_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.ion_db_path"><code class="docutils literal notranslate"><span class="pre">Ion.ion_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.__len__"><code class="docutils literal notranslate"><span class="pre">Ion.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.__str__"><code class="docutils literal notranslate"><span class="pre">Ion.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion._load_ion"><code class="docutils literal notranslate"><span class="pre">Ion._load_ion()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.get_ion_concentration"><code class="docutils literal notranslate"><span class="pre">Ion.get_ion_concentration()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.slab"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.adsorbates"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.adsorbates</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.num_sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.num_sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.interstitial_gap"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.mode"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.mode</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.place_adsorbates_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.get_metadata_dict()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.bulk"><code class="docutils literal notranslate"><span class="pre">Slab.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.millers"><code class="docutils literal notranslate"><span class="pre">Slab.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.shift"><code class="docutils literal notranslate"><span class="pre">Slab.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.top"><code class="docutils literal notranslate"><span class="pre">Slab.top</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.oriented_bulk"><code class="docutils literal notranslate"><span class="pre">Slab.oriented_bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.from_bulk_get_random_slab"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_random_slab()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.from_bulk_get_specific_millers"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_specific_millers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.from_bulk_get_all_slabs"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_all_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.from_precomputed_slabs_pkl"><code class="docutils literal notranslate"><span class="pre">Slab.from_precomputed_slabs_pkl()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.from_atoms"><code class="docutils literal notranslate"><span class="pre">Slab.from_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.has_surface_tagged"><code class="docutils literal notranslate"><span class="pre">Slab.has_surface_tagged()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">Slab.get_metadata_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.__len__"><code class="docutils literal notranslate"><span class="pre">Slab.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.__str__"><code class="docutils literal notranslate"><span class="pre">Slab.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.__repr__"><code class="docutils literal notranslate"><span class="pre">Slab.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.__eq__"><code class="docutils literal notranslate"><span class="pre">Slab.__eq__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Solvent"><code class="docutils literal notranslate"><span class="pre">Solvent</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Solvent.solvent_id_from_db"><code class="docutils literal notranslate"><span class="pre">Solvent.solvent_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Solvent.solvent_db_path"><code class="docutils literal notranslate"><span class="pre">Solvent.solvent_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Solvent.solvent_density"><code class="docutils literal notranslate"><span class="pre">Solvent.solvent_density</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Solvent.molar_mass"><code class="docutils literal notranslate"><span class="pre">Solvent.molar_mass</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Solvent.__len__"><code class="docutils literal notranslate"><span class="pre">Solvent.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Solvent.__str__"><code class="docutils literal notranslate"><span class="pre">Solvent.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Solvent._load_solvent"><code class="docutils literal notranslate"><span class="pre">Solvent._load_solvent()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Solvent.molecules_per_volume"><code class="docutils literal notranslate"><span class="pre">Solvent.molecules_per_volume</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.core">
+<span id="data-oc-core"></span><h1>data.oc.core<a class="headerlink" href="#module-data.oc.core" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="adsorbate/index.html">data.oc.core.adsorbate</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adsorbate_slab_config/index.html">data.oc.core.adsorbate_slab_config</a></li>
+<li class="toctree-l1"><a class="reference internal" href="bulk/index.html">data.oc.core.bulk</a></li>
+<li class="toctree-l1"><a class="reference internal" href="interface_config/index.html">data.oc.core.interface_config</a></li>
+<li class="toctree-l1"><a class="reference internal" href="ion/index.html">data.oc.core.ion</a></li>
+<li class="toctree-l1"><a class="reference internal" href="multi_adsorbate_slab_config/index.html">data.oc.core.multi_adsorbate_slab_config</a></li>
+<li class="toctree-l1"><a class="reference internal" href="slab/index.html">data.oc.core.slab</a></li>
+<li class="toctree-l1"><a class="reference internal" href="solvent/index.html">data.oc.core.solvent</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.Adsorbate" title="data.oc.core.Adsorbate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Adsorbate</span></code></a></p></td>
+<td><p>Initializes an adsorbate object in one of 4 ways:</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.AdsorbateSlabConfig" title="data.oc.core.AdsorbateSlabConfig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabConfig</span></code></a></p></td>
+<td><p>Initializes a list of adsorbate-catalyst systems for a given Adsorbate and Slab.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.Bulk" title="data.oc.core.Bulk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bulk</span></code></a></p></td>
+<td><p>Initializes a bulk object in one of 4 ways:</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.InterfaceConfig" title="data.oc.core.InterfaceConfig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">InterfaceConfig</span></code></a></p></td>
+<td><p>Class to represent a solvent, adsorbate, slab, ion config. This class only</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.Ion" title="data.oc.core.Ion"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Ion</span></code></a></p></td>
+<td><p>Initializes an ion object in one of 2 ways:</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.MultipleAdsorbateSlabConfig" title="data.oc.core.MultipleAdsorbateSlabConfig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig</span></code></a></p></td>
+<td><p>Class to represent a slab with multiple adsorbates on it. This class only</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.Slab" title="data.oc.core.Slab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Slab</span></code></a></p></td>
+<td><p>Initializes a slab object, i.e. a particular slab tiled along xyz, in</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.Solvent" title="data.oc.core.Solvent"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Solvent</span></code></a></p></td>
+<td><p>Initializes a solvent object in one of 2 ways:</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.Adsorbate">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.</span></span><span class="sig-name descname"><span class="pre">Adsorbate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_smiles_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">ADSORBATE_PKL_PATH</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_binding_indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Initializes an adsorbate object in one of 4 ways:
+- Directly pass in an ase.Atoms object.</p>
+<blockquote>
+<div><p>For this, you should also provide the index of the binding atom.</p>
+</div></blockquote>
+<ul class="simple">
+<li><p>Pass in index of adsorbate to select from adsorbate database.</p></li>
+<li><p>Pass in the SMILES string of the adsorbate to select from the database.</p></li>
+<li><p>Randomly sample an adsorbate from the adsorbate database.</p></li>
+</ul>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate_atoms</strong> (<em>ase.Atoms</em>) – Adsorbate structure.</p></li>
+<li><p><strong>adsorbate_id_from_db</strong> (<em>int</em>) – Index of adsorbate to select.</p></li>
+<li><p><strong>adsorbate_smiles_from_db</strong> (<em>str</em>) – A SMILES string of the desired adsorbate.</p></li>
+<li><p><strong>adsorbate_db_path</strong> (<em>str</em>) – Path to adsorbate database.</p></li>
+<li><p><strong>adsorbate_binding_indices</strong> (<em>list</em>) – The index/indices of the adsorbate atoms which are expected to bind.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Adsorbate.adsorbate_id_from_db">
+<span class="sig-name descname"><span class="pre">adsorbate_id_from_db</span></span><a class="headerlink" href="#data.oc.core.Adsorbate.adsorbate_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Adsorbate.adsorbate_db_path">
+<span class="sig-name descname"><span class="pre">adsorbate_db_path</span></span><a class="headerlink" href="#data.oc.core.Adsorbate.adsorbate_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Adsorbate.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Adsorbate.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Adsorbate.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Adsorbate.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Adsorbate.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Adsorbate.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Adsorbate._get_adsorbate_from_random">
+<span class="sig-name descname"><span class="pre">_get_adsorbate_from_random</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_db</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Adsorbate._get_adsorbate_from_random" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Adsorbate._load_adsorbate">
+<span class="sig-name descname"><span class="pre">_load_adsorbate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Ellipsis</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#data.oc.core.Adsorbate._load_adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Saves the fields from an adsorbate stored in a database. Fields added
+after the first revision are conditionally added for backwards
+compatibility with older database files.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabConfig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Adsorbate</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_augmentations_per_site</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'random'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig" title="Link to this definition">#</a></dt>
+<dd><p>Initializes a list of adsorbate-catalyst systems for a given Adsorbate and Slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>slab</strong> (<a class="reference internal" href="#data.oc.core.Slab" title="data.oc.core.Slab"><em>Slab</em></a>) – Slab object.</p></li>
+<li><p><strong>adsorbate</strong> (<a class="reference internal" href="#data.oc.core.Adsorbate" title="data.oc.core.Adsorbate"><em>Adsorbate</em></a>) – Adsorbate object.</p></li>
+<li><p><strong>num_sites</strong> (<em>int</em>) – Number of sites to sample.</p></li>
+<li><p><strong>num_augmentations_per_site</strong> (<em>int</em>) – Number of augmentations of the adsorbate per site. Total number of
+generated structures will be <cite>num_sites</cite> * <cite>num_augmentations_per_site</cite>.</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – Minimum distance in Angstroms between adsorbate and slab atoms.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – <p>“random”, “heuristic”, or “random_site_heuristic_placement”.
+This affects surface site sampling and adsorbate placement on each site.</p>
+<p>In “random”, we do a Delaunay triangulation of the surface atoms, then
+sample sites uniformly at random within each triangle. When placing the
+adsorbate, we randomly rotate it along xyz, and place it such that the
+center of mass is at the site.</p>
+<p>In “heuristic”, we use Pymatgen’s AdsorbateSiteFinder to find the most
+energetically favorable sites, i.e., ontop, bridge, or hollow sites.
+When placing the adsorbate, we randomly rotate it along z with only
+slight rotation along x and y, and place it such that the binding atom
+is at the site.</p>
+<p>In “random_site_heuristic_placement”, we do a Delaunay triangulation of
+the surface atoms, then sample sites uniformly at random within each
+triangle. When placing the adsorbate, we randomly rotate it along z with
+only slight rotation along x and y, and place it such that the binding
+atom is at the site.</p>
+<p>In all cases, the adsorbate is placed at the closest position of no
+overlap with the slab plus <cite>interstitial_gap</cite> along the surface normal.</p>
+</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.slab" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.adsorbate">
+<span class="sig-name descname"><span class="pre">adsorbate</span></span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.adsorbate" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.num_sites">
+<span class="sig-name descname"><span class="pre">num_sites</span></span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.num_sites" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.num_augmentations_per_site">
+<span class="sig-name descname"><span class="pre">num_augmentations_per_site</span></span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.num_augmentations_per_site" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.interstitial_gap">
+<span class="sig-name descname"><span class="pre">interstitial_gap</span></span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.interstitial_gap" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.mode">
+<span class="sig-name descname"><span class="pre">mode</span></span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.mode" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.sites">
+<span class="sig-name descname"><span class="pre">sites</span></span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.sites" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.get_binding_sites">
+<span class="sig-name descname"><span class="pre">get_binding_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.get_binding_sites" title="Link to this definition">#</a></dt>
+<dd><p>Returns up to <cite>num_sites</cite> sites given the surface atoms’ positions.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_site">
+<span class="sig-name descname"><span class="pre">place_adsorbate_on_site</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Adsorbate</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">site</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_site" title="Link to this definition">#</a></dt>
+<dd><p>Place the adsorbate at the given binding site.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_sites">
+<span class="sig-name descname"><span class="pre">place_adsorbate_on_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_augmentations_per_site</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_sites" title="Link to this definition">#</a></dt>
+<dd><p>Place the adsorbate at the given binding sites.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig._get_scaled_normal">
+<span class="sig-name descname"><span class="pre">_get_scaled_normal</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_c</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_c</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">site</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit_normal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig._get_scaled_normal" title="Link to this definition">#</a></dt>
+<dd><p>Get the scaled normal that gives a proximate configuration without atomic
+overlap by:</p>
+<blockquote>
+<div><ol class="arabic simple">
+<li><p>Projecting the adsorbate and surface atoms onto the surface plane.</p></li>
+<li><dl class="simple">
+<dt>Identify all adsorbate atom - surface atom combinations for which</dt><dd><p>an itersection when translating along the normal would occur.
+This is where the distance between the projected points is less than
+r_surface_atom + r_adsorbate_atom</p>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>Explicitly solve for the scaled normal at which the distance between</dt><dd><p>surface atom and adsorbate atom = r_surface_atom + r_adsorbate_atom +
+interstitial_gap. This exploits the superposition of vectors and the
+distance formula, so it requires root finding.</p>
+</dd>
+</dl>
+</li>
+</ol>
+</div></blockquote>
+<p>Assumes that the adsorbate’s binding atom or center-of-mass (depending
+on mode) is already placed at the site.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate_c</strong> (<em>ase.Atoms</em>) – A copy of the adsorbate with coordinates at the site</p></li>
+<li><p><strong>slab_c</strong> (<em>ase.Atoms</em>) – A copy of the slab</p></li>
+<li><p><strong>site</strong> (<em>np.ndarray</em>) – the coordinate of the site</p></li>
+<li><p><strong>adsorbate_atoms</strong> (<em>ase.Atoms</em>) – the translated adsorbate</p></li>
+<li><p><strong>unit_normal</strong> (<em>np.ndarray</em>) – the unit vector normal to the surface</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – the desired distance between the covalent radii of the
+closest surface and adsorbate atom</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the magnitude of the normal vector for placement</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(float)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig._find_combos_to_check">
+<span class="sig-name descname"><span class="pre">_find_combos_to_check</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_c2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_c2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit_normal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig._find_combos_to_check" title="Link to this definition">#</a></dt>
+<dd><p>Find the pairs of surface and adsorbate atoms that would have an intersection event
+while traversing the normal vector. For each pair, return pertanent information for
+finding the point of intersection.
+:param adsorbate_c2: A copy of the adsorbate with coordinates at the centered site
+:type adsorbate_c2: ase.Atoms
+:param slab_c2: A copy of the slab with atoms wrapped s.t. things are centered</p>
+<blockquote>
+<div><p>about the site</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>unit_normal</strong> (<em>np.ndarray</em>) – the unit vector normal to the surface</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – the desired distance between the covalent radii of the
+closest surface and adsorbate atom</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>each entry in the list corresponds to one pair to check. With the</dt><dd><dl class="simple">
+<dt>following information:</dt><dd><p>[(adsorbate_idx, slab_idx), r_adsorbate_atom + r_slab_atom, slab_atom_position]</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(list[lists])</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig._get_projected_points">
+<span class="sig-name descname"><span class="pre">_get_projected_points</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate_c2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_c2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit_normal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig._get_projected_points" title="Link to this definition">#</a></dt>
+<dd><p>Find the x and y coordinates of each atom projected onto the surface plane.
+:param adsorbate_c2: A copy of the adsorbate with coordinates at the centered site
+:type adsorbate_c2: ase.Atoms
+:param slab_c2: A copy of the slab with atoms wrapped s.t. things are centered</p>
+<blockquote>
+<div><p>about the site</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>unit_normal</strong> (<em>np.ndarray</em>) – the unit vector normal to the surface</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>{“ads”: [[x1, y1], [x2, y2], …], “slab”: [[x1, y1], [x2, y2], …],}</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(dict)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.AdsorbateSlabConfig.get_metadata_dict">
+<span class="sig-name descname"><span class="pre">get_metadata_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ind</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.AdsorbateSlabConfig.get_metadata_dict" title="Link to this definition">#</a></dt>
+<dd><p>Returns a dict containing the atoms object and metadata for
+one specified config, used for writing to files.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.Bulk">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.</span></span><span class="sig-name descname"><span class="pre">Bulk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_src_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">BULK_PKL_PATH</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Bulk" title="Link to this definition">#</a></dt>
+<dd><p>Initializes a bulk object in one of 4 ways:
+- Directly pass in an ase.Atoms object.
+- Pass in index of bulk to select from bulk database.
+- Pass in the src_id of the bulk to select from the bulk database.
+- Randomly sample a bulk from bulk database if no other option is passed.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bulk_atoms</strong> (<em>ase.Atoms</em>) – Bulk structure.</p></li>
+<li><p><strong>bulk_id_from_db</strong> (<em>int</em>) – Index of bulk in database pkl to select.</p></li>
+<li><p><strong>bulk_src_id_from_db</strong> (<em>int</em>) – Src id of bulk to select (e.g. “mp-30”).</p></li>
+<li><p><strong>bulk_db_path</strong> (<em>str</em>) – Path to bulk database.</p></li>
+<li><p><strong>bulk_db</strong> (<em>List</em><em>[</em><em>Dict</em><em>[</em><em>str</em><em>, </em><em>Any</em><em>]</em><em>]</em>) – Already-loaded database.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Bulk.bulk_id_from_db">
+<span class="sig-name descname"><span class="pre">bulk_id_from_db</span></span><a class="headerlink" href="#data.oc.core.Bulk.bulk_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Bulk.bulk_db_path">
+<span class="sig-name descname"><span class="pre">bulk_db_path</span></span><a class="headerlink" href="#data.oc.core.Bulk.bulk_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Bulk._get_bulk_from_random">
+<span class="sig-name descname"><span class="pre">_get_bulk_from_random</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_db</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Bulk._get_bulk_from_random" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Bulk.set_source_dataset_id">
+<span class="sig-name descname"><span class="pre">set_source_dataset_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">src_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Bulk.set_source_dataset_id" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Bulk.set_bulk_id_from_db">
+<span class="sig-name descname"><span class="pre">set_bulk_id_from_db</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Bulk.set_bulk_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Bulk.get_slabs">
+<span class="sig-name descname"><span class="pre">get_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">precomputed_slabs_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Bulk.get_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Returns a list of possible slabs for this bulk instance.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Bulk.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Bulk.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Bulk.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Bulk.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Bulk.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Bulk.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Bulk.__eq__">
+<span class="sig-name descname"><span class="pre">__eq__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#data.oc.core.Bulk.__eq__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.</span></span><span class="sig-name descname"><span class="pre">InterfaceConfig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.data.oc.core.adsorbate.Adsorbate</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.solvent.Solvent</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.data.oc.core.ion.Ion</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_configurations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vacuum_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">15</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_depth</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbc_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">packmol_tolerance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'random_site_heuristic_placement'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.InterfaceConfig" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig</span></code></p>
+<p>Class to represent a solvent, adsorbate, slab, ion config. This class only
+returns a fixed combination of adsorbates placed on the surface. Solvent
+placement is performed by packmol
+(<a class="reference external" href="https://m3g.github.io/packmol/userguide.shtml">https://m3g.github.io/packmol/userguide.shtml</a>), with the number of solvent
+molecules controlled by its corresponding density. Ion placement is random
+within the desired volume.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>slab</strong> (<a class="reference internal" href="#data.oc.core.Slab" title="data.oc.core.Slab"><em>Slab</em></a>) – Slab object.</p></li>
+<li><p><strong>adsorbates</strong> (<em>List</em><em>[</em><a class="reference internal" href="#data.oc.core.Adsorbate" title="data.oc.core.Adsorbate"><em>Adsorbate</em></a><em>]</em>) – List of adsorbate objects to place on the slab.</p></li>
+<li><p><strong>solvent</strong> (<a class="reference internal" href="#data.oc.core.Solvent" title="data.oc.core.Solvent"><em>Solvent</em></a>) – Solvent object</p></li>
+<li><p><strong>ions</strong> (<em>List</em><em>[</em><a class="reference internal" href="#data.oc.core.Ion" title="data.oc.core.Ion"><em>Ion</em></a><em>] </em><em>=</em><em> [</em><em>]</em>) – List of ion objects to place</p></li>
+<li><p><strong>num_sites</strong> (<em>int</em>) – Number of sites to sample.</p></li>
+<li><p><strong>num_configurations</strong> (<em>int</em>) – Number of configurations to generate per slab+adsorbate(s) combination.
+This corresponds to selecting different site combinations to place
+the adsorbates on.</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – Minimum distance, in Angstroms, between adsorbate and slab atoms as
+well as the inter-adsorbate distance.</p></li>
+<li><p><strong>vacuum_size</strong> (<em>int</em>) – Size of vacuum layer to add to both ends of the resulting atoms object.</p></li>
+<li><p><strong>solvent_interstitial_gap</strong> (<em>float</em>) – Minimum distance, in Angstroms, between the solvent environment and the
+adsorbate-slab environment.</p></li>
+<li><p><strong>solvent_depth</strong> (<em>float</em>) – Volume depth to be used to pack solvents inside.</p></li>
+<li><p><strong>pbc_shift</strong> (<em>float</em>) – Cushion to add to the packmol volume to avoid overlapping atoms over pbc.</p></li>
+<li><p><strong>packmol_tolerance</strong> (<em>float</em>) – Packmol minimum distance to impose between molecules.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – <p>“random”, “heuristic”, or “random_site_heuristic_placement”.
+This affects surface site sampling and adsorbate placement on each site.</p>
+<p>In “random”, we do a Delaunay triangulation of the surface atoms, then
+sample sites uniformly at random within each triangle. When placing the
+adsorbate, we randomly rotate it along xyz, and place it such that the
+center of mass is at the site.</p>
+<p>In “heuristic”, we use Pymatgen’s AdsorbateSiteFinder to find the most
+energetically favorable sites, i.e., ontop, bridge, or hollow sites.
+When placing the adsorbate, we randomly rotate it along z with only
+slight rotation along x and y, and place it such that the binding atom
+is at the site.</p>
+<p>In “random_site_heuristic_placement”, we do a Delaunay triangulation of
+the surface atoms, then sample sites uniformly at random within each
+triangle. When placing the adsorbate, we randomly rotate it along z with
+only slight rotation along x and y, and place it such that the binding
+atom is at the site.</p>
+<p>In all cases, the adsorbate is placed at the closest position of no
+overlap with the slab plus <cite>interstitial_gap</cite> along the surface normal.</p>
+</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.solvent">
+<span class="sig-name descname"><span class="pre">solvent</span></span><a class="headerlink" href="#data.oc.core.InterfaceConfig.solvent" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.ions">
+<span class="sig-name descname"><span class="pre">ions</span></span><a class="headerlink" href="#data.oc.core.InterfaceConfig.ions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.vacuum_size">
+<span class="sig-name descname"><span class="pre">vacuum_size</span></span><a class="headerlink" href="#data.oc.core.InterfaceConfig.vacuum_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.solvent_depth">
+<span class="sig-name descname"><span class="pre">solvent_depth</span></span><a class="headerlink" href="#data.oc.core.InterfaceConfig.solvent_depth" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.solvent_interstitial_gap">
+<span class="sig-name descname"><span class="pre">solvent_interstitial_gap</span></span><a class="headerlink" href="#data.oc.core.InterfaceConfig.solvent_interstitial_gap" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.pbc_shift">
+<span class="sig-name descname"><span class="pre">pbc_shift</span></span><a class="headerlink" href="#data.oc.core.InterfaceConfig.pbc_shift" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.packmol_tolerance">
+<span class="sig-name descname"><span class="pre">packmol_tolerance</span></span><a class="headerlink" href="#data.oc.core.InterfaceConfig.packmol_tolerance" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.n_mol_per_volume">
+<span class="sig-name descname"><span class="pre">n_mol_per_volume</span></span><a class="headerlink" href="#data.oc.core.InterfaceConfig.n_mol_per_volume" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.create_interface_on_sites">
+<span class="sig-name descname"><span class="pre">create_interface_on_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.InterfaceConfig.create_interface_on_sites" title="Link to this definition">#</a></dt>
+<dd><p>Given adsorbate+slab configurations generated from
+(Multi)AdsorbateSlabConfig and its corresponding metadata, create the
+solvent/ion interface on top of the provided atoms objects.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.create_packmol_atoms">
+<span class="sig-name descname"><span class="pre">create_packmol_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">geometry</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.utils.geometry.Geometry</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_solvent_mols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.InterfaceConfig.create_packmol_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Pack solvent molecules in a provided unit cell volume. Packmol is used
+to randomly pack solvent molecules in the desired volume.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>geometry</strong> (<a class="reference internal" href="../utils/geometry/index.html#data.oc.utils.geometry.Geometry" title="data.oc.utils.geometry.Geometry"><em>Geometry</em></a>) – Geometry object corresponding to the desired cell.</p></li>
+<li><p><strong>n_solvent_mols</strong> (<em>int</em>) – Number of solvent molecules to pack in the volume.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.run_packmol">
+<span class="sig-name descname"><span class="pre">run_packmol</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">packmol_input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.InterfaceConfig.run_packmol" title="Link to this definition">#</a></dt>
+<dd><p>Run packmol.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.InterfaceConfig.randomize_coords">
+<span class="sig-name descname"><span class="pre">randomize_coords</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.InterfaceConfig.randomize_coords" title="Link to this definition">#</a></dt>
+<dd><p>Randomly place the atoms in its unit cell.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.Ion">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.</span></span><span class="sig-name descname"><span class="pre">Ion</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ion_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ion_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ion_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">ION_PKL_PATH</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Ion" title="Link to this definition">#</a></dt>
+<dd><p>Initializes an ion object in one of 2 ways:
+- Directly pass in an ase.Atoms object.
+- Pass in index of ion to select from ion database.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>ion_atoms</strong> (<em>ase.Atoms</em>) – ion structure.</p></li>
+<li><p><strong>ion_id_from_db</strong> (<em>int</em>) – Index of ion to select.</p></li>
+<li><p><strong>ion_db_path</strong> (<em>str</em>) – Path to ion database.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Ion.ion_id_from_db">
+<span class="sig-name descname"><span class="pre">ion_id_from_db</span></span><a class="headerlink" href="#data.oc.core.Ion.ion_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Ion.ion_db_path">
+<span class="sig-name descname"><span class="pre">ion_db_path</span></span><a class="headerlink" href="#data.oc.core.Ion.ion_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Ion.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Ion.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Ion.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Ion.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Ion._load_ion">
+<span class="sig-name descname"><span class="pre">_load_ion</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ion</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#data.oc.core.Ion._load_ion" title="Link to this definition">#</a></dt>
+<dd><p>Saves the fields from an ion stored in a database. Fields added
+after the first revision are conditionally added for backwards
+compatibility with older database files.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Ion.get_ion_concentration">
+<span class="sig-name descname"><span class="pre">get_ion_concentration</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">volume</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Ion.get_ion_concentration" title="Link to this definition">#</a></dt>
+<dd><p>Compute the ion concentration units of M, given a volume in units of
+Angstrom^3.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.MultipleAdsorbateSlabConfig">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.</span></span><span class="sig-name descname"><span class="pre">MultipleAdsorbateSlabConfig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.data.oc.core.adsorbate.Adsorbate</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_configurations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'random_site_heuristic_placement'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.MultipleAdsorbateSlabConfig" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig</span></code></p>
+<p>Class to represent a slab with multiple adsorbates on it. This class only
+returns a fixed combination of adsorbates placed on the surface. Unlike
+AdsorbateSlabConfig which enumerates all possible adsorbate placements, this
+problem gets combinatorially large.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>slab</strong> (<a class="reference internal" href="#data.oc.core.Slab" title="data.oc.core.Slab"><em>Slab</em></a>) – Slab object.</p></li>
+<li><p><strong>adsorbates</strong> (<em>List</em><em>[</em><a class="reference internal" href="#data.oc.core.Adsorbate" title="data.oc.core.Adsorbate"><em>Adsorbate</em></a><em>]</em>) – List of adsorbate objects to place on the slab.</p></li>
+<li><p><strong>num_sites</strong> (<em>int</em>) – Number of sites to sample.</p></li>
+<li><p><strong>num_configurations</strong> (<em>int</em>) – Number of configurations to generate per slab+adsorbate(s) combination.
+This corresponds to selecting different site combinations to place
+the adsorbates on.</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – Minimum distance, in Angstroms, between adsorbate and slab atoms as
+well as the inter-adsorbate distance.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – <p>“random”, “heuristic”, or “random_site_heuristic_placement”.
+This affects surface site sampling and adsorbate placement on each site.</p>
+<p>In “random”, we do a Delaunay triangulation of the surface atoms, then
+sample sites uniformly at random within each triangle. When placing the
+adsorbate, we randomly rotate it along xyz, and place it such that the
+center of mass is at the site.</p>
+<p>In “heuristic”, we use Pymatgen’s AdsorbateSiteFinder to find the most
+energetically favorable sites, i.e., ontop, bridge, or hollow sites.
+When placing the adsorbate, we randomly rotate it along z with only
+slight rotation along x and y, and place it such that the binding atom
+is at the site.</p>
+<p>In “random_site_heuristic_placement”, we do a Delaunay triangulation of
+the surface atoms, then sample sites uniformly at random within each
+triangle. When placing the adsorbate, we randomly rotate it along z with
+only slight rotation along x and y, and place it such that the binding
+atom is at the site.</p>
+<p>In all cases, the adsorbate is placed at the closest position of no
+overlap with the slab plus <cite>interstitial_gap</cite> along the surface normal.</p>
+</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.MultipleAdsorbateSlabConfig.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><a class="headerlink" href="#data.oc.core.MultipleAdsorbateSlabConfig.slab" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.MultipleAdsorbateSlabConfig.adsorbates">
+<span class="sig-name descname"><span class="pre">adsorbates</span></span><a class="headerlink" href="#data.oc.core.MultipleAdsorbateSlabConfig.adsorbates" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.MultipleAdsorbateSlabConfig.num_sites">
+<span class="sig-name descname"><span class="pre">num_sites</span></span><a class="headerlink" href="#data.oc.core.MultipleAdsorbateSlabConfig.num_sites" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.MultipleAdsorbateSlabConfig.interstitial_gap">
+<span class="sig-name descname"><span class="pre">interstitial_gap</span></span><a class="headerlink" href="#data.oc.core.MultipleAdsorbateSlabConfig.interstitial_gap" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.MultipleAdsorbateSlabConfig.mode">
+<span class="sig-name descname"><span class="pre">mode</span></span><a class="headerlink" href="#data.oc.core.MultipleAdsorbateSlabConfig.mode" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.MultipleAdsorbateSlabConfig.sites">
+<span class="sig-name descname"><span class="pre">sites</span></span><a class="headerlink" href="#data.oc.core.MultipleAdsorbateSlabConfig.sites" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites">
+<span class="sig-name descname"><span class="pre">place_adsorbates_on_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_configurations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites" title="Link to this definition">#</a></dt>
+<dd><p>Place the adsorbate at the given binding sites.</p>
+<p>This method generates a fixed number of configurations where sites are
+selected to ensure that adsorbate binding indices are at least a fair
+distance away from each other (covalent radii + interstitial gap).
+While this helps prevent adsorbate overlap it does not gaurantee it
+since non-binding adsorbate atoms can overlap if the right combination
+of angles is sampled.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.MultipleAdsorbateSlabConfig.get_metadata_dict">
+<span class="sig-name descname"><span class="pre">get_metadata_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ind</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.MultipleAdsorbateSlabConfig.get_metadata_dict" title="Link to this definition">#</a></dt>
+<dd><p>Returns a dict containing the atoms object and metadata for
+one specified config, used for writing to files.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.Slab">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.</span></span><span class="sig-name descname"><span class="pre">Slab</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">millers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">oriented_bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pymatgen.core.structure.Structure</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab" title="Link to this definition">#</a></dt>
+<dd><p>Initializes a slab object, i.e. a particular slab tiled along xyz, in
+one of 2 ways:
+- Pass in a Bulk object and a slab 5-tuple containing
+(atoms, miller, shift, top, oriented bulk).
+- Pass in a Bulk object and randomly sample a slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bulk</strong> (<a class="reference internal" href="#data.oc.core.Bulk" title="data.oc.core.Bulk"><em>Bulk</em></a>) – Corresponding Bulk object.</p></li>
+<li><p><strong>slab_atoms</strong> (<em>ase.Atoms</em>) – Slab atoms, tiled and tagged</p></li>
+<li><p><strong>millers</strong> (<em>tuple</em>) – Miller indices of slab.</p></li>
+<li><p><strong>shift</strong> (<em>float</em>) – Shift of slab.</p></li>
+<li><p><strong>top</strong> (<em>bool</em>) – Whether slab is top or bottom.</p></li>
+<li><p><strong>min_ab</strong> (<em>float</em>) – To confirm that the tiled structure spans this distance</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Slab.bulk">
+<span class="sig-name descname"><span class="pre">bulk</span></span><a class="headerlink" href="#data.oc.core.Slab.bulk" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Slab.atoms">
+<span class="sig-name descname"><span class="pre">atoms</span></span><a class="headerlink" href="#data.oc.core.Slab.atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Slab.millers">
+<span class="sig-name descname"><span class="pre">millers</span></span><a class="headerlink" href="#data.oc.core.Slab.millers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Slab.shift">
+<span class="sig-name descname"><span class="pre">shift</span></span><a class="headerlink" href="#data.oc.core.Slab.shift" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Slab.top">
+<span class="sig-name descname"><span class="pre">top</span></span><a class="headerlink" href="#data.oc.core.Slab.top" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Slab.oriented_bulk">
+<span class="sig-name descname"><span class="pre">oriented_bulk</span></span><a class="headerlink" href="#data.oc.core.Slab.oriented_bulk" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.from_bulk_get_random_slab">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_bulk_get_random_slab</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.from_bulk_get_random_slab" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.from_bulk_get_specific_millers">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_bulk_get_specific_millers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specific_millers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.from_bulk_get_specific_millers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.from_bulk_get_all_slabs">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_bulk_get_all_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.from_bulk_get_all_slabs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.from_precomputed_slabs_pkl">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_precomputed_slabs_pkl</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">precomputed_slabs_pkl</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.from_precomputed_slabs_pkl" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.from_atoms">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.from_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.has_surface_tagged">
+<span class="sig-name descname"><span class="pre">has_surface_tagged</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.has_surface_tagged" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.get_metadata_dict">
+<span class="sig-name descname"><span class="pre">get_metadata_dict</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.get_metadata_dict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Slab.__eq__">
+<span class="sig-name descname"><span class="pre">__eq__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Slab.__eq__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.Solvent">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.</span></span><span class="sig-name descname"><span class="pre">Solvent</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">solvent_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">SOLVENT_PKL_PATH</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_density</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Solvent" title="Link to this definition">#</a></dt>
+<dd><p>Initializes a solvent object in one of 2 ways:
+- Directly pass in an ase.Atoms object.
+- Pass in index of solvent to select from solvent database.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>solvent_atoms</strong> (<em>ase.Atoms</em>) – Solvent molecule</p></li>
+<li><p><strong>solvent_id_from_db</strong> (<em>int</em>) – Index of solvent to select.</p></li>
+<li><p><strong>solvent_db_path</strong> (<em>str</em>) – Path to solvent database.</p></li>
+<li><p><strong>solvent_density</strong> (<em>float</em>) – Desired solvent density to use. If not specified, the default is used
+from the solvent databases.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Solvent.solvent_id_from_db">
+<span class="sig-name descname"><span class="pre">solvent_id_from_db</span></span><a class="headerlink" href="#data.oc.core.Solvent.solvent_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Solvent.solvent_db_path">
+<span class="sig-name descname"><span class="pre">solvent_db_path</span></span><a class="headerlink" href="#data.oc.core.Solvent.solvent_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Solvent.solvent_density">
+<span class="sig-name descname"><span class="pre">solvent_density</span></span><a class="headerlink" href="#data.oc.core.Solvent.solvent_density" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.Solvent.molar_mass">
+<span class="sig-name descname"><span class="pre">molar_mass</span></span><a class="headerlink" href="#data.oc.core.Solvent.molar_mass" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Solvent.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Solvent.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Solvent.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.Solvent.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.Solvent._load_solvent">
+<span class="sig-name descname"><span class="pre">_load_solvent</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">solvent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#data.oc.core.Solvent._load_solvent" title="Link to this definition">#</a></dt>
+<dd><p>Saves the fields from an adsorbate stored in a database. Fields added
+after the first revision are conditionally added for backwards
+compatibility with older database files.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="data.oc.core.Solvent.molecules_per_volume">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">molecules_per_volume</span></span><a class="headerlink" href="#data.oc.core.Solvent.molecules_per_volume" title="Link to this definition">#</a></dt>
+<dd><p>Convert the solvent density in g/cm3 to the number of molecules per
+angstrom cubed of volume.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+            theme: "abcdef",
+            mode: "python"
+        },
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+            name: "python3",
+            path: "./autoapi/data/oc/core"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
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+              
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate"><code class="docutils literal notranslate"><span class="pre">Adsorbate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.adsorbate_id_from_db"><code class="docutils literal notranslate"><span class="pre">Adsorbate.adsorbate_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.adsorbate_db_path"><code class="docutils literal notranslate"><span class="pre">Adsorbate.adsorbate_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.__len__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.__str__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate.__repr__"><code class="docutils literal notranslate"><span class="pre">Adsorbate.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate._get_adsorbate_from_random"><code class="docutils literal notranslate"><span class="pre">Adsorbate._get_adsorbate_from_random()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Adsorbate._load_adsorbate"><code class="docutils literal notranslate"><span class="pre">Adsorbate._load_adsorbate()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.num_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.num_sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.num_augmentations_per_site"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.num_augmentations_per_site</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.interstitial_gap"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.mode"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.mode</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.get_binding_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.get_binding_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_site"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.place_adsorbate_on_site()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_sites"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.place_adsorbate_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig._get_scaled_normal"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig._get_scaled_normal()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig._find_combos_to_check"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig._find_combos_to_check()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig._get_projected_points"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig._get_projected_points()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.AdsorbateSlabConfig.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfig.get_metadata_dict()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.bulk_id_from_db"><code class="docutils literal notranslate"><span class="pre">Bulk.bulk_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.bulk_db_path"><code class="docutils literal notranslate"><span class="pre">Bulk.bulk_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk._get_bulk_from_random"><code class="docutils literal notranslate"><span class="pre">Bulk._get_bulk_from_random()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.set_source_dataset_id"><code class="docutils literal notranslate"><span class="pre">Bulk.set_source_dataset_id()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.set_bulk_id_from_db"><code class="docutils literal notranslate"><span class="pre">Bulk.set_bulk_id_from_db()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.get_slabs"><code class="docutils literal notranslate"><span class="pre">Bulk.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.__len__"><code class="docutils literal notranslate"><span class="pre">Bulk.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.__str__"><code class="docutils literal notranslate"><span class="pre">Bulk.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.__repr__"><code class="docutils literal notranslate"><span class="pre">Bulk.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Bulk.__eq__"><code class="docutils literal notranslate"><span class="pre">Bulk.__eq__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.solvent"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.ions"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.ions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.vacuum_size"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.vacuum_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.solvent_depth"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent_depth</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.solvent_interstitial_gap"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent_interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.pbc_shift"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.pbc_shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.packmol_tolerance"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.packmol_tolerance</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.n_mol_per_volume"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.n_mol_per_volume</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.create_interface_on_sites"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.create_interface_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.create_packmol_atoms"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.create_packmol_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.run_packmol"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.run_packmol()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.InterfaceConfig.randomize_coords"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.randomize_coords()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion"><code class="docutils literal notranslate"><span class="pre">Ion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.ion_id_from_db"><code class="docutils literal notranslate"><span class="pre">Ion.ion_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.ion_db_path"><code class="docutils literal notranslate"><span class="pre">Ion.ion_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.__len__"><code class="docutils literal notranslate"><span class="pre">Ion.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.__str__"><code class="docutils literal notranslate"><span class="pre">Ion.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion._load_ion"><code class="docutils literal notranslate"><span class="pre">Ion._load_ion()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Ion.get_ion_concentration"><code class="docutils literal notranslate"><span class="pre">Ion.get_ion_concentration()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.slab"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.adsorbates"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.adsorbates</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.num_sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.num_sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.interstitial_gap"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.mode"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.mode</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.place_adsorbates_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.MultipleAdsorbateSlabConfig.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.get_metadata_dict()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.bulk"><code class="docutils literal notranslate"><span class="pre">Slab.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.millers"><code class="docutils literal notranslate"><span class="pre">Slab.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.shift"><code class="docutils literal notranslate"><span class="pre">Slab.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.top"><code class="docutils literal notranslate"><span class="pre">Slab.top</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.oriented_bulk"><code class="docutils literal notranslate"><span class="pre">Slab.oriented_bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.from_bulk_get_random_slab"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_random_slab()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.Slab.from_bulk_get_specific_millers"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_specific_millers()</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.solvent"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.ions"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.ions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.vacuum_size"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.vacuum_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.solvent_depth"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent_depth</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.solvent_interstitial_gap"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent_interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.pbc_shift"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.pbc_shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.packmol_tolerance"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.packmol_tolerance</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.n_mol_per_volume"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.n_mol_per_volume</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.create_interface_on_sites"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.create_interface_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.create_packmol_atoms"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.create_packmol_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.run_packmol"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.run_packmol()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.randomize_coords"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.randomize_coords()</span></code></a></li>
+</ul>
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+                  
+  <section id="module-data.oc.core.interface_config">
+<span id="data-oc-core-interface-config"></span><h1>data.oc.core.interface_config<a class="headerlink" href="#module-data.oc.core.interface_config" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.interface_config.InterfaceConfig" title="data.oc.core.interface_config.InterfaceConfig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">InterfaceConfig</span></code></a></p></td>
+<td><p>Class to represent a solvent, adsorbate, slab, ion config. This class only</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.interface_config.</span></span><span class="sig-name descname"><span class="pre">InterfaceConfig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.data.oc.core.adsorbate.Adsorbate</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.solvent.Solvent</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.data.oc.core.ion.Ion</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_configurations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vacuum_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">15</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_depth</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbc_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">packmol_tolerance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'random_site_heuristic_placement'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig</span></code></p>
+<p>Class to represent a solvent, adsorbate, slab, ion config. This class only
+returns a fixed combination of adsorbates placed on the surface. Solvent
+placement is performed by packmol
+(<a class="reference external" href="https://m3g.github.io/packmol/userguide.shtml">https://m3g.github.io/packmol/userguide.shtml</a>), with the number of solvent
+molecules controlled by its corresponding density. Ion placement is random
+within the desired volume.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>slab</strong> (<a class="reference internal" href="../index.html#data.oc.core.Slab" title="data.oc.core.Slab"><em>Slab</em></a>) – Slab object.</p></li>
+<li><p><strong>adsorbates</strong> (<em>List</em><em>[</em><a class="reference internal" href="../adsorbate/index.html#data.oc.core.adsorbate.Adsorbate" title="data.oc.core.adsorbate.Adsorbate"><em>Adsorbate</em></a><em>]</em>) – List of adsorbate objects to place on the slab.</p></li>
+<li><p><strong>solvent</strong> (<a class="reference internal" href="../index.html#data.oc.core.Solvent" title="data.oc.core.Solvent"><em>Solvent</em></a>) – Solvent object</p></li>
+<li><p><strong>ions</strong> (<em>List</em><em>[</em><a class="reference internal" href="../index.html#data.oc.core.Ion" title="data.oc.core.Ion"><em>Ion</em></a><em>] </em><em>=</em><em> [</em><em>]</em>) – List of ion objects to place</p></li>
+<li><p><strong>num_sites</strong> (<em>int</em>) – Number of sites to sample.</p></li>
+<li><p><strong>num_configurations</strong> (<em>int</em>) – Number of configurations to generate per slab+adsorbate(s) combination.
+This corresponds to selecting different site combinations to place
+the adsorbates on.</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – Minimum distance, in Angstroms, between adsorbate and slab atoms as
+well as the inter-adsorbate distance.</p></li>
+<li><p><strong>vacuum_size</strong> (<em>int</em>) – Size of vacuum layer to add to both ends of the resulting atoms object.</p></li>
+<li><p><strong>solvent_interstitial_gap</strong> (<em>float</em>) – Minimum distance, in Angstroms, between the solvent environment and the
+adsorbate-slab environment.</p></li>
+<li><p><strong>solvent_depth</strong> (<em>float</em>) – Volume depth to be used to pack solvents inside.</p></li>
+<li><p><strong>pbc_shift</strong> (<em>float</em>) – Cushion to add to the packmol volume to avoid overlapping atoms over pbc.</p></li>
+<li><p><strong>packmol_tolerance</strong> (<em>float</em>) – Packmol minimum distance to impose between molecules.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – <p>“random”, “heuristic”, or “random_site_heuristic_placement”.
+This affects surface site sampling and adsorbate placement on each site.</p>
+<p>In “random”, we do a Delaunay triangulation of the surface atoms, then
+sample sites uniformly at random within each triangle. When placing the
+adsorbate, we randomly rotate it along xyz, and place it such that the
+center of mass is at the site.</p>
+<p>In “heuristic”, we use Pymatgen’s AdsorbateSiteFinder to find the most
+energetically favorable sites, i.e., ontop, bridge, or hollow sites.
+When placing the adsorbate, we randomly rotate it along z with only
+slight rotation along x and y, and place it such that the binding atom
+is at the site.</p>
+<p>In “random_site_heuristic_placement”, we do a Delaunay triangulation of
+the surface atoms, then sample sites uniformly at random within each
+triangle. When placing the adsorbate, we randomly rotate it along z with
+only slight rotation along x and y, and place it such that the binding
+atom is at the site.</p>
+<p>In all cases, the adsorbate is placed at the closest position of no
+overlap with the slab plus <cite>interstitial_gap</cite> along the surface normal.</p>
+</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.solvent">
+<span class="sig-name descname"><span class="pre">solvent</span></span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.solvent" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.ions">
+<span class="sig-name descname"><span class="pre">ions</span></span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.ions" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.vacuum_size">
+<span class="sig-name descname"><span class="pre">vacuum_size</span></span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.vacuum_size" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.solvent_depth">
+<span class="sig-name descname"><span class="pre">solvent_depth</span></span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.solvent_depth" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.solvent_interstitial_gap">
+<span class="sig-name descname"><span class="pre">solvent_interstitial_gap</span></span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.solvent_interstitial_gap" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.pbc_shift">
+<span class="sig-name descname"><span class="pre">pbc_shift</span></span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.pbc_shift" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.packmol_tolerance">
+<span class="sig-name descname"><span class="pre">packmol_tolerance</span></span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.packmol_tolerance" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.n_mol_per_volume">
+<span class="sig-name descname"><span class="pre">n_mol_per_volume</span></span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.n_mol_per_volume" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.create_interface_on_sites">
+<span class="sig-name descname"><span class="pre">create_interface_on_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">ase.Atoms</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.create_interface_on_sites" title="Link to this definition">#</a></dt>
+<dd><p>Given adsorbate+slab configurations generated from
+(Multi)AdsorbateSlabConfig and its corresponding metadata, create the
+solvent/ion interface on top of the provided atoms objects.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.create_packmol_atoms">
+<span class="sig-name descname"><span class="pre">create_packmol_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">geometry</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.utils.geometry.Geometry</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_solvent_mols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.create_packmol_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Pack solvent molecules in a provided unit cell volume. Packmol is used
+to randomly pack solvent molecules in the desired volume.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>geometry</strong> (<a class="reference internal" href="../../utils/geometry/index.html#data.oc.utils.geometry.Geometry" title="data.oc.utils.geometry.Geometry"><em>Geometry</em></a>) – Geometry object corresponding to the desired cell.</p></li>
+<li><p><strong>n_solvent_mols</strong> (<em>int</em>) – Number of solvent molecules to pack in the volume.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.run_packmol">
+<span class="sig-name descname"><span class="pre">run_packmol</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">packmol_input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.run_packmol" title="Link to this definition">#</a></dt>
+<dd><p>Run packmol.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.interface_config.InterfaceConfig.randomize_coords">
+<span class="sig-name descname"><span class="pre">randomize_coords</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.interface_config.InterfaceConfig.randomize_coords" title="Link to this definition">#</a></dt>
+<dd><p>Randomly place the atoms in its unit cell.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.solvent"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.ions"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.ions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.vacuum_size"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.vacuum_size</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.solvent_depth"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent_depth</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.solvent_interstitial_gap"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.solvent_interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.pbc_shift"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.pbc_shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.packmol_tolerance"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.packmol_tolerance</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.n_mol_per_volume"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.n_mol_per_volume</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.create_interface_on_sites"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.create_interface_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.create_packmol_atoms"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.create_packmol_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.run_packmol"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.run_packmol()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.interface_config.InterfaceConfig.randomize_coords"><code class="docutils literal notranslate"><span class="pre">InterfaceConfig.randomize_coords()</span></code></a></li>
+</ul>
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+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>data.oc.core.ion</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.ion.Ion"><code class="docutils literal notranslate"><span class="pre">Ion</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.ion.Ion.ion_id_from_db"><code class="docutils literal notranslate"><span class="pre">Ion.ion_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.ion.Ion.ion_db_path"><code class="docutils literal notranslate"><span class="pre">Ion.ion_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.ion.Ion.__len__"><code class="docutils literal notranslate"><span class="pre">Ion.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.ion.Ion.__str__"><code class="docutils literal notranslate"><span class="pre">Ion.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.ion.Ion._load_ion"><code class="docutils literal notranslate"><span class="pre">Ion._load_ion()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.ion.Ion.get_ion_concentration"><code class="docutils literal notranslate"><span class="pre">Ion.get_ion_concentration()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.core.ion">
+<span id="data-oc-core-ion"></span><h1>data.oc.core.ion<a class="headerlink" href="#module-data.oc.core.ion" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.ion.Ion" title="data.oc.core.ion.Ion"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Ion</span></code></a></p></td>
+<td><p>Initializes an ion object in one of 2 ways:</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.ion.Ion">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.ion.</span></span><span class="sig-name descname"><span class="pre">Ion</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ion_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ion_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ion_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">ION_PKL_PATH</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.ion.Ion" title="Link to this definition">#</a></dt>
+<dd><p>Initializes an ion object in one of 2 ways:
+- Directly pass in an ase.Atoms object.
+- Pass in index of ion to select from ion database.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>ion_atoms</strong> (<em>ase.Atoms</em>) – ion structure.</p></li>
+<li><p><strong>ion_id_from_db</strong> (<em>int</em>) – Index of ion to select.</p></li>
+<li><p><strong>ion_db_path</strong> (<em>str</em>) – Path to ion database.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.ion.Ion.ion_id_from_db">
+<span class="sig-name descname"><span class="pre">ion_id_from_db</span></span><a class="headerlink" href="#data.oc.core.ion.Ion.ion_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.ion.Ion.ion_db_path">
+<span class="sig-name descname"><span class="pre">ion_db_path</span></span><a class="headerlink" href="#data.oc.core.ion.Ion.ion_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.ion.Ion.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.ion.Ion.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.ion.Ion.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.ion.Ion.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.ion.Ion._load_ion">
+<span class="sig-name descname"><span class="pre">_load_ion</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ion</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#data.oc.core.ion.Ion._load_ion" title="Link to this definition">#</a></dt>
+<dd><p>Saves the fields from an ion stored in a database. Fields added
+after the first revision are conditionally added for backwards
+compatibility with older database files.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.ion.Ion.get_ion_concentration">
+<span class="sig-name descname"><span class="pre">get_ion_concentration</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">volume</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.ion.Ion.get_ion_concentration" title="Link to this definition">#</a></dt>
+<dd><p>Compute the ion concentration units of M, given a volume in units of
+Angstrom^3.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+    <h1>data.oc.core.multi_adsorbate_slab_config</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.slab"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.adsorbates"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.adsorbates</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.num_sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.num_sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.interstitial_gap"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.mode"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.mode</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.place_adsorbates_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.get_metadata_dict()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.update_distance_map"><code class="docutils literal notranslate"><span class="pre">update_distance_map()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.core.multi_adsorbate_slab_config">
+<span id="data-oc-core-multi-adsorbate-slab-config"></span><h1>data.oc.core.multi_adsorbate_slab_config<a class="headerlink" href="#module-data.oc.core.multi_adsorbate_slab_config" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig" title="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig</span></code></a></p></td>
+<td><p>Class to represent a slab with multiple adsorbates on it. This class only</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.multi_adsorbate_slab_config.update_distance_map" title="data.oc.core.multi_adsorbate_slab_config.update_distance_map"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_distance_map</span></code></a>(prev_distance_map, site_idx, ...)</p></td>
+<td><p>Given a new site and the adsorbate we plan on placing there,</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.multi_adsorbate_slab_config.</span></span><span class="sig-name descname"><span class="pre">MultipleAdsorbateSlabConfig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.data.oc.core.slab.Slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.data.oc.core.adsorbate.Adsorbate</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_configurations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'random_site_heuristic_placement'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">fairchem.data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig</span></code></p>
+<p>Class to represent a slab with multiple adsorbates on it. This class only
+returns a fixed combination of adsorbates placed on the surface. Unlike
+AdsorbateSlabConfig which enumerates all possible adsorbate placements, this
+problem gets combinatorially large.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>slab</strong> (<a class="reference internal" href="../index.html#data.oc.core.Slab" title="data.oc.core.Slab"><em>Slab</em></a>) – Slab object.</p></li>
+<li><p><strong>adsorbates</strong> (<em>List</em><em>[</em><a class="reference internal" href="../adsorbate/index.html#data.oc.core.adsorbate.Adsorbate" title="data.oc.core.adsorbate.Adsorbate"><em>Adsorbate</em></a><em>]</em>) – List of adsorbate objects to place on the slab.</p></li>
+<li><p><strong>num_sites</strong> (<em>int</em>) – Number of sites to sample.</p></li>
+<li><p><strong>num_configurations</strong> (<em>int</em>) – Number of configurations to generate per slab+adsorbate(s) combination.
+This corresponds to selecting different site combinations to place
+the adsorbates on.</p></li>
+<li><p><strong>interstitial_gap</strong> (<em>float</em>) – Minimum distance, in Angstroms, between adsorbate and slab atoms as
+well as the inter-adsorbate distance.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – <p>“random”, “heuristic”, or “random_site_heuristic_placement”.
+This affects surface site sampling and adsorbate placement on each site.</p>
+<p>In “random”, we do a Delaunay triangulation of the surface atoms, then
+sample sites uniformly at random within each triangle. When placing the
+adsorbate, we randomly rotate it along xyz, and place it such that the
+center of mass is at the site.</p>
+<p>In “heuristic”, we use Pymatgen’s AdsorbateSiteFinder to find the most
+energetically favorable sites, i.e., ontop, bridge, or hollow sites.
+When placing the adsorbate, we randomly rotate it along z with only
+slight rotation along x and y, and place it such that the binding atom
+is at the site.</p>
+<p>In “random_site_heuristic_placement”, we do a Delaunay triangulation of
+the surface atoms, then sample sites uniformly at random within each
+triangle. When placing the adsorbate, we randomly rotate it along z with
+only slight rotation along x and y, and place it such that the binding
+atom is at the site.</p>
+<p>In all cases, the adsorbate is placed at the closest position of no
+overlap with the slab plus <cite>interstitial_gap</cite> along the surface normal.</p>
+</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.slab" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.adsorbates">
+<span class="sig-name descname"><span class="pre">adsorbates</span></span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.adsorbates" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.num_sites">
+<span class="sig-name descname"><span class="pre">num_sites</span></span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.num_sites" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.interstitial_gap">
+<span class="sig-name descname"><span class="pre">interstitial_gap</span></span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.interstitial_gap" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.mode">
+<span class="sig-name descname"><span class="pre">mode</span></span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.mode" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.sites">
+<span class="sig-name descname"><span class="pre">sites</span></span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.sites" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites">
+<span class="sig-name descname"><span class="pre">place_adsorbates_on_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sites</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_configurations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interstitial_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites" title="Link to this definition">#</a></dt>
+<dd><p>Place the adsorbate at the given binding sites.</p>
+<p>This method generates a fixed number of configurations where sites are
+selected to ensure that adsorbate binding indices are at least a fair
+distance away from each other (covalent radii + interstitial gap).
+While this helps prevent adsorbate overlap it does not gaurantee it
+since non-binding adsorbate atoms can overlap if the right combination
+of angles is sampled.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.get_metadata_dict">
+<span class="sig-name descname"><span class="pre">get_metadata_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ind</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.get_metadata_dict" title="Link to this definition">#</a></dt>
+<dd><p>Returns a dict containing the atoms object and metadata for
+one specified config, used for writing to files.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.multi_adsorbate_slab_config.update_distance_map">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.multi_adsorbate_slab_config.</span></span><span class="sig-name descname"><span class="pre">update_distance_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prev_distance_map</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">site_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pseudo_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.multi_adsorbate_slab_config.update_distance_map" title="Link to this definition">#</a></dt>
+<dd><p>Given a new site and the adsorbate we plan on placing there,
+update the distance mapping to reflect the new distances from sites to nearest adsorbates.
+We incorporate the covalent radii of the placed adsorbate binding atom in our distance
+calculation to prevent atom overlap.</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.slab"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.adsorbates"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.adsorbates</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.num_sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.num_sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.interstitial_gap"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.interstitial_gap</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.mode"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.mode</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.sites</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.place_adsorbates_on_sites()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">MultipleAdsorbateSlabConfig.get_metadata_dict()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.multi_adsorbate_slab_config.update_distance_map"><code class="docutils literal notranslate"><span class="pre">update_distance_map()</span></code></a></li>
+</ul>
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+    <h1>data.oc.core.slab</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.bulk"><code class="docutils literal notranslate"><span class="pre">Slab.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.millers"><code class="docutils literal notranslate"><span class="pre">Slab.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.shift"><code class="docutils literal notranslate"><span class="pre">Slab.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.top"><code class="docutils literal notranslate"><span class="pre">Slab.top</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.oriented_bulk"><code class="docutils literal notranslate"><span class="pre">Slab.oriented_bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_bulk_get_random_slab"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_random_slab()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_bulk_get_specific_millers"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_specific_millers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_bulk_get_all_slabs"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_all_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_precomputed_slabs_pkl"><code class="docutils literal notranslate"><span class="pre">Slab.from_precomputed_slabs_pkl()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_atoms"><code class="docutils literal notranslate"><span class="pre">Slab.from_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.has_surface_tagged"><code class="docutils literal notranslate"><span class="pre">Slab.has_surface_tagged()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">Slab.get_metadata_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.__len__"><code class="docutils literal notranslate"><span class="pre">Slab.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.__str__"><code class="docutils literal notranslate"><span class="pre">Slab.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.__repr__"><code class="docutils literal notranslate"><span class="pre">Slab.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.__eq__"><code class="docutils literal notranslate"><span class="pre">Slab.__eq__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.tile_and_tag_atoms"><code class="docutils literal notranslate"><span class="pre">tile_and_tag_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.set_fixed_atom_constraints"><code class="docutils literal notranslate"><span class="pre">set_fixed_atom_constraints()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.tag_surface_atoms"><code class="docutils literal notranslate"><span class="pre">tag_surface_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.tile_atoms"><code class="docutils literal notranslate"><span class="pre">tile_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.find_surface_atoms_by_height"><code class="docutils literal notranslate"><span class="pre">find_surface_atoms_by_height()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.find_surface_atoms_with_voronoi_given_height"><code class="docutils literal notranslate"><span class="pre">find_surface_atoms_with_voronoi_given_height()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.calculate_center_of_mass"><code class="docutils literal notranslate"><span class="pre">calculate_center_of_mass()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.calculate_coordination_of_bulk_atoms"><code class="docutils literal notranslate"><span class="pre">calculate_coordination_of_bulk_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.compute_slabs"><code class="docutils literal notranslate"><span class="pre">compute_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.flip_struct"><code class="docutils literal notranslate"><span class="pre">flip_struct()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.is_structure_invertible"><code class="docutils literal notranslate"><span class="pre">is_structure_invertible()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.standardize_bulk"><code class="docutils literal notranslate"><span class="pre">standardize_bulk()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.core.slab">
+<span id="data-oc-core-slab"></span><h1>data.oc.core.slab<a class="headerlink" href="#module-data.oc.core.slab" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.slab.Slab" title="data.oc.core.slab.Slab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Slab</span></code></a></p></td>
+<td><p>Initializes a slab object, i.e. a particular slab tiled along xyz, in</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.slab.tile_and_tag_atoms" title="data.oc.core.slab.tile_and_tag_atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tile_and_tag_atoms</span></code></a>(unit_slab_struct, bulk_atoms[, min_ab])</p></td>
+<td><p>This function combines the next three functions that tile, tag,</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.slab.set_fixed_atom_constraints" title="data.oc.core.slab.set_fixed_atom_constraints"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_fixed_atom_constraints</span></code></a>(atoms)</p></td>
+<td><p>This function fixes sub-surface atoms of a surface. Also works on systems</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.slab.tag_surface_atoms" title="data.oc.core.slab.tag_surface_atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tag_surface_atoms</span></code></a>([slab_atoms, bulk_atoms])</p></td>
+<td><p>Sets the tags of an <cite>ase.Atoms</cite> object. Any atom that we consider a &quot;bulk&quot;</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.slab.tile_atoms" title="data.oc.core.slab.tile_atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tile_atoms</span></code></a>(atoms[, min_ab])</p></td>
+<td><p>This function will repeat an atoms structure in the direction of the a and b</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.slab.find_surface_atoms_by_height" title="data.oc.core.slab.find_surface_atoms_by_height"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_surface_atoms_by_height</span></code></a>(surface_atoms)</p></td>
+<td><p>As discussed in the docstring for <cite>find_surface_atoms_with_voronoi</cite>,</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.slab.find_surface_atoms_with_voronoi_given_height" title="data.oc.core.slab.find_surface_atoms_with_voronoi_given_height"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_surface_atoms_with_voronoi_given_height</span></code></a>(...)</p></td>
+<td><p>Labels atoms as surface or bulk atoms according to their coordination</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.slab.calculate_center_of_mass" title="data.oc.core.slab.calculate_center_of_mass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calculate_center_of_mass</span></code></a>(struct)</p></td>
+<td><p>Calculates the center of mass of the slab.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.slab.calculate_coordination_of_bulk_atoms" title="data.oc.core.slab.calculate_coordination_of_bulk_atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calculate_coordination_of_bulk_atoms</span></code></a>(bulk_atoms)</p></td>
+<td><p>Finds all unique atoms in a bulk structure and then determines their</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.slab.compute_slabs" title="data.oc.core.slab.compute_slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_slabs</span></code></a>([bulk_atoms, max_miller, specific_millers])</p></td>
+<td><p>Enumerates all the symmetrically distinct slabs of a bulk structure.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.slab.flip_struct" title="data.oc.core.slab.flip_struct"><code class="xref py py-obj docutils literal notranslate"><span class="pre">flip_struct</span></code></a>(struct)</p></td>
+<td><p>Flips an atoms object upside down. Normally used to flip slabs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.slab.is_structure_invertible" title="data.oc.core.slab.is_structure_invertible"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_structure_invertible</span></code></a>(struct)</p></td>
+<td><p>This function figures out whether or not an <cite>Structure</cite></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.core.slab.standardize_bulk" title="data.oc.core.slab.standardize_bulk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">standardize_bulk</span></code></a>(atoms)</p></td>
+<td><p>There are many ways to define a bulk unit cell. If you change the unit</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">Slab</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">millers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">oriented_bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pymatgen.core.structure.Structure</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab" title="Link to this definition">#</a></dt>
+<dd><p>Initializes a slab object, i.e. a particular slab tiled along xyz, in
+one of 2 ways:
+- Pass in a Bulk object and a slab 5-tuple containing
+(atoms, miller, shift, top, oriented bulk).
+- Pass in a Bulk object and randomly sample a slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bulk</strong> (<a class="reference internal" href="../bulk/index.html#data.oc.core.bulk.Bulk" title="data.oc.core.bulk.Bulk"><em>Bulk</em></a>) – Corresponding Bulk object.</p></li>
+<li><p><strong>slab_atoms</strong> (<em>ase.Atoms</em>) – Slab atoms, tiled and tagged</p></li>
+<li><p><strong>millers</strong> (<em>tuple</em>) – Miller indices of slab.</p></li>
+<li><p><strong>shift</strong> (<em>float</em>) – Shift of slab.</p></li>
+<li><p><strong>top</strong> (<em>bool</em>) – Whether slab is top or bottom.</p></li>
+<li><p><strong>min_ab</strong> (<em>float</em>) – To confirm that the tiled structure spans this distance</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.bulk">
+<span class="sig-name descname"><span class="pre">bulk</span></span><a class="headerlink" href="#data.oc.core.slab.Slab.bulk" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.atoms">
+<span class="sig-name descname"><span class="pre">atoms</span></span><a class="headerlink" href="#data.oc.core.slab.Slab.atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.millers">
+<span class="sig-name descname"><span class="pre">millers</span></span><a class="headerlink" href="#data.oc.core.slab.Slab.millers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.shift">
+<span class="sig-name descname"><span class="pre">shift</span></span><a class="headerlink" href="#data.oc.core.slab.Slab.shift" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.top">
+<span class="sig-name descname"><span class="pre">top</span></span><a class="headerlink" href="#data.oc.core.slab.Slab.top" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.oriented_bulk">
+<span class="sig-name descname"><span class="pre">oriented_bulk</span></span><a class="headerlink" href="#data.oc.core.slab.Slab.oriented_bulk" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.from_bulk_get_random_slab">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_bulk_get_random_slab</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.from_bulk_get_random_slab" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.from_bulk_get_specific_millers">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_bulk_get_specific_millers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specific_millers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.from_bulk_get_specific_millers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.from_bulk_get_all_slabs">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_bulk_get_all_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.from_bulk_get_all_slabs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.from_precomputed_slabs_pkl">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_precomputed_slabs_pkl</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">precomputed_slabs_pkl</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.from_precomputed_slabs_pkl" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.from_atoms">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.from_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.has_surface_tagged">
+<span class="sig-name descname"><span class="pre">has_surface_tagged</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.has_surface_tagged" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.get_metadata_dict">
+<span class="sig-name descname"><span class="pre">get_metadata_dict</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.get_metadata_dict" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.slab.Slab.__eq__">
+<span class="sig-name descname"><span class="pre">__eq__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.Slab.__eq__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.tile_and_tag_atoms">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">tile_and_tag_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">unit_slab_struct</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pymatgen.core.structure.Structure</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.tile_and_tag_atoms" title="Link to this definition">#</a></dt>
+<dd><p>This function combines the next three functions that tile, tag,
+and constrain the atoms.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>unit_slab_struct</strong> (<em>Structure</em>) – The untiled slab structure</p></li>
+<li><p><strong>bulk_atoms</strong> (<em>ase.Atoms</em>) – Atoms of the corresponding bulk structure, used for tagging</p></li>
+<li><p><strong>min_ab</strong> (<em>float</em>) – The minimum distance in x and y spanned by the tiled structure.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>atoms_tiled</strong> – A copy of the slab atoms that is tiled, tagged, and constrained</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.set_fixed_atom_constraints">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">set_fixed_atom_constraints</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.set_fixed_atom_constraints" title="Link to this definition">#</a></dt>
+<dd><p>This function fixes sub-surface atoms of a surface. Also works on systems
+that have surface + adsorbate(s), as long as the bulk atoms are tagged with
+<cite>0</cite>, surface atoms are tagged with <cite>1</cite>, and the adsorbate atoms are tagged
+with <cite>2</cite> or above.</p>
+<p>This is used for both surface atoms and the combined surface+adsorbate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>atoms</strong> (<em>ase.Atoms</em>) – Atoms object of the slab or slab+adsorbate system, with bulk atoms
+tagged as <cite>0</cite>, surface atoms tagged as <cite>1</cite>, and adsorbate atoms tagged
+as <cite>2</cite> or above.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>atoms</strong> – A deep copy of the <cite>atoms</cite> argument, but where the appropriate
+atoms are constrained.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.tag_surface_atoms">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">tag_surface_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">slab_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.tag_surface_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Sets the tags of an <cite>ase.Atoms</cite> object. Any atom that we consider a “bulk”
+atom will have a tag of 0, and any atom that we consider a “surface” atom
+will have a tag of 1. We use a combination of Voronoi neighbor algorithms
+(adapted from <cite>pymatgen.core.surface.Slab.get_surface_sites</cite>; see
+<a class="reference external" href="https://pymatgen.org/pymatgen.core.surface.html">https://pymatgen.org/pymatgen.core.surface.html</a>) and a distance cutoff.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>slab_atoms</strong> (<em>ase.Atoms</em>) – The slab where you are trying to find surface sites.</p></li>
+<li><p><strong>bulk_atoms</strong> (<em>ase.Atoms</em>) – The bulk structure that the surface was cut from.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>slab_atoms</strong> – A copy of the slab atoms with the surface atoms tagged as 1.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.tile_atoms">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">tile_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_ab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.tile_atoms" title="Link to this definition">#</a></dt>
+<dd><p>This function will repeat an atoms structure in the direction of the a and b
+lattice vectors such that they are at least as wide as the min_ab constant.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms</strong> (<em>ase.Atoms</em>) – The structure to tile.</p></li>
+<li><p><strong>min_ab</strong> (<em>float</em>) – The minimum distance in x and y spanned by the tiled structure.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>atoms_tiled</strong> – The tiled structure.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.find_surface_atoms_by_height">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">find_surface_atoms_by_height</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">surface_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.find_surface_atoms_by_height" title="Link to this definition">#</a></dt>
+<dd><p>As discussed in the docstring for <cite>find_surface_atoms_with_voronoi</cite>,
+sometimes we might accidentally tag a surface atom as a bulk atom if there
+are multiple coordination environments for that atom type within the bulk.
+One heuristic that we use to address this is to simply figure out if an
+atom is close to the surface. This function will figure that out.</p>
+<p>Specifically:  We consider an atom a surface atom if it is within 2
+Angstroms of the heighest atom in the z-direction (or more accurately, the
+direction of the 3rd unit cell vector).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>surface_atoms</strong> (<em>ase.Atoms</em>)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>tags</strong> – A list that contains the indices of the surface atoms.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.find_surface_atoms_with_voronoi_given_height">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">find_surface_atoms_with_voronoi_given_height</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab_atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height_tags</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.find_surface_atoms_with_voronoi_given_height" title="Link to this definition">#</a></dt>
+<dd><p>Labels atoms as surface or bulk atoms according to their coordination
+relative to their bulk structure. If an atom’s coordination is less than it
+normally is in a bulk, then we consider it a surface atom. We calculate the
+coordination using pymatgen’s Voronoi algorithms.</p>
+<p>Note that if a single element has different sites within a bulk and these
+sites have different coordinations, then we consider slab atoms
+“under-coordinated” only if they are less coordinated than the most under
+undercoordinated bulk atom. For example:  Say we have a bulk with two Cu
+sites. One site has a coordination of 12 and another a coordination of 9.
+If a slab atom has a coordination of 10, we will consider it a bulk atom.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bulk_atoms</strong> (<em>ase.Atoms</em>) – The bulk structure that the surface was cut from.</p></li>
+<li><p><strong>slab_atoms</strong> (<em>ase.Atoms</em>) – The slab structure.</p></li>
+<li><p><strong>height_tags</strong> (<em>list</em>) – The tags determined by the <cite>find_surface_atoms_by_height</cite> algo.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>tags</strong> – A list of 0s and 1s whose indices align with the atoms in
+<cite>slab_atoms</cite>. 0s indicate a bulk atom and 1 indicates a surface atom.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.calculate_center_of_mass">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">calculate_center_of_mass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">struct</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.calculate_center_of_mass" title="Link to this definition">#</a></dt>
+<dd><p>Calculates the center of mass of the slab.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.calculate_coordination_of_bulk_atoms">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">calculate_coordination_of_bulk_atoms</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.calculate_coordination_of_bulk_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Finds all unique atoms in a bulk structure and then determines their
+coordination number. Then parses these coordination numbers into a
+dictionary whose keys are the elements of the atoms and whose values are
+their possible coordination numbers.
+For example: <cite>bulk_cns = {‘Pt’: {3., 12.}, ‘Pd’: {12.}}</cite></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bulk_atoms</strong> (<em>ase.Atoms</em>) – The bulk structure.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>bulk_cn_dict</strong> – A dictionary whose keys are the elements of the atoms and whose values
+are their possible coordination numbers.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.compute_slabs">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">compute_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">specific_millers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.compute_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Enumerates all the symmetrically distinct slabs of a bulk structure.
+It will not enumerate slabs with Miller indices above the
+<cite>max_miller</cite> argument. Note that we also look at the bottoms of slabs
+if they are distinct from the top. If they are distinct, we flip the
+surface so the bottom is pointing upwards.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bulk_atoms</strong> (<em>ase.Atoms</em>) – The bulk structure.</p></li>
+<li><p><strong>max_miller</strong> (<em>int</em>) – The maximum Miller index of the slabs to enumerate. Increasing this
+argument will increase the number of slabs, and the slabs will generally
+become larger.</p></li>
+<li><p><strong>specific_millers</strong> (<em>list</em>) – A list of Miller indices that you want to enumerate. If this argument
+is not <cite>None</cite>, then the <cite>max_miller</cite> argument is ignored.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>all_slabs_info</strong> – A list of 5-tuples containing pymatgen structure objects for enumerated
+slabs, the Miller indices, floats for the shifts, booleans for top, and
+the oriented bulk structure.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.flip_struct">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">flip_struct</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">struct</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pymatgen.core.structure.Structure</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.flip_struct" title="Link to this definition">#</a></dt>
+<dd><p>Flips an atoms object upside down. Normally used to flip slabs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>struct</strong> (<em>Structure</em>) – pymatgen structure object of the surface you want to flip</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>flipped_struct</strong> – pymatgen structure object of the flipped surface.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Structure</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.is_structure_invertible">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">is_structure_invertible</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">struct</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pymatgen.core.structure.Structure</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.is_structure_invertible" title="Link to this definition">#</a></dt>
+<dd><p>This function figures out whether or not an <cite>Structure</cite>
+object has symmetricity. In this function, the affine matrix is a rotation
+matrix that is multiplied with the XYZ positions of the crystal. If the z,z
+component of that is negative, it means symmetry operation exist, it could
+be a mirror operation, or one that involves multiple rotations/etc.
+Regardless, it means that the top becomes the bottom and vice-versa, and the
+structure is the symmetric. i.e. structure_XYZ = structure_XYZ*M.</p>
+<p>In short:  If this function returns <cite>False</cite>, then the input structure can
+be flipped in the z-direction to create a new structure.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>struct</strong> (<em>Structure</em>) – pymatgen structure object of the slab.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p>A boolean indicating whether or not your <cite>ase.Atoms</cite> object is</p></li>
+<li><p><em>symmetric in z-direction (i.e. symmetric with respect to x-y plane).</em></p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.core.slab.standardize_bulk">
+<span class="sig-prename descclassname"><span class="pre">data.oc.core.slab.</span></span><span class="sig-name descname"><span class="pre">standardize_bulk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.slab.standardize_bulk" title="Link to this definition">#</a></dt>
+<dd><p>There are many ways to define a bulk unit cell. If you change the unit
+cell itself but also change the locations of the atoms within the unit
+cell, you can effectively get the same bulk structure. To address this,
+there is a standardization method used to reduce the degrees of freedom
+such that each unit cell only has one “true” configuration. This
+function will align a unit cell you give it to fit within this
+standardization.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>atoms</strong> (<em>ase.Atoms</em>) – <cite>ase.Atoms</cite> object of the bulk you want to standardize.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>standardized_struct</strong> – pymatgen structure object of the standardized bulk.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Structure</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+        },
+        predefinedOutput: true
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.bulk"><code class="docutils literal notranslate"><span class="pre">Slab.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.millers"><code class="docutils literal notranslate"><span class="pre">Slab.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.shift"><code class="docutils literal notranslate"><span class="pre">Slab.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.top"><code class="docutils literal notranslate"><span class="pre">Slab.top</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.oriented_bulk"><code class="docutils literal notranslate"><span class="pre">Slab.oriented_bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_bulk_get_random_slab"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_random_slab()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_bulk_get_specific_millers"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_specific_millers()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_bulk_get_all_slabs"><code class="docutils literal notranslate"><span class="pre">Slab.from_bulk_get_all_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_precomputed_slabs_pkl"><code class="docutils literal notranslate"><span class="pre">Slab.from_precomputed_slabs_pkl()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.from_atoms"><code class="docutils literal notranslate"><span class="pre">Slab.from_atoms()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.has_surface_tagged"><code class="docutils literal notranslate"><span class="pre">Slab.has_surface_tagged()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.get_metadata_dict"><code class="docutils literal notranslate"><span class="pre">Slab.get_metadata_dict()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.__len__"><code class="docutils literal notranslate"><span class="pre">Slab.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.__str__"><code class="docutils literal notranslate"><span class="pre">Slab.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.__repr__"><code class="docutils literal notranslate"><span class="pre">Slab.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.Slab.__eq__"><code class="docutils literal notranslate"><span class="pre">Slab.__eq__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.tile_and_tag_atoms"><code class="docutils literal notranslate"><span class="pre">tile_and_tag_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.set_fixed_atom_constraints"><code class="docutils literal notranslate"><span class="pre">set_fixed_atom_constraints()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.tag_surface_atoms"><code class="docutils literal notranslate"><span class="pre">tag_surface_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.tile_atoms"><code class="docutils literal notranslate"><span class="pre">tile_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.find_surface_atoms_by_height"><code class="docutils literal notranslate"><span class="pre">find_surface_atoms_by_height()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.find_surface_atoms_with_voronoi_given_height"><code class="docutils literal notranslate"><span class="pre">find_surface_atoms_with_voronoi_given_height()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.calculate_center_of_mass"><code class="docutils literal notranslate"><span class="pre">calculate_center_of_mass()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.calculate_coordination_of_bulk_atoms"><code class="docutils literal notranslate"><span class="pre">calculate_coordination_of_bulk_atoms()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.compute_slabs"><code class="docutils literal notranslate"><span class="pre">compute_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.flip_struct"><code class="docutils literal notranslate"><span class="pre">flip_struct()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.is_structure_invertible"><code class="docutils literal notranslate"><span class="pre">is_structure_invertible()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.slab.standardize_bulk"><code class="docutils literal notranslate"><span class="pre">standardize_bulk()</span></code></a></li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
+</div></div>
+              
+            
+          </div>
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+    <h1>data.oc.core.solvent</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent"><code class="docutils literal notranslate"><span class="pre">Solvent</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.solvent_id_from_db"><code class="docutils literal notranslate"><span class="pre">Solvent.solvent_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.solvent_db_path"><code class="docutils literal notranslate"><span class="pre">Solvent.solvent_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.solvent_density"><code class="docutils literal notranslate"><span class="pre">Solvent.solvent_density</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.molar_mass"><code class="docutils literal notranslate"><span class="pre">Solvent.molar_mass</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.__len__"><code class="docutils literal notranslate"><span class="pre">Solvent.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.__str__"><code class="docutils literal notranslate"><span class="pre">Solvent.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent._load_solvent"><code class="docutils literal notranslate"><span class="pre">Solvent._load_solvent()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.molecules_per_volume"><code class="docutils literal notranslate"><span class="pre">Solvent.molecules_per_volume</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
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+    </div>
+</div>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.core.solvent">
+<span id="data-oc-core-solvent"></span><h1>data.oc.core.solvent<a class="headerlink" href="#module-data.oc.core.solvent" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.core.solvent.Solvent" title="data.oc.core.solvent.Solvent"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Solvent</span></code></a></p></td>
+<td><p>Initializes a solvent object in one of 2 ways:</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.core.solvent.Solvent">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.core.solvent.</span></span><span class="sig-name descname"><span class="pre">Solvent</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">solvent_atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_id_from_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_db_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">SOLVENT_PKL_PATH</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">solvent_density</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.solvent.Solvent" title="Link to this definition">#</a></dt>
+<dd><p>Initializes a solvent object in one of 2 ways:
+- Directly pass in an ase.Atoms object.
+- Pass in index of solvent to select from solvent database.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>solvent_atoms</strong> (<em>ase.Atoms</em>) – Solvent molecule</p></li>
+<li><p><strong>solvent_id_from_db</strong> (<em>int</em>) – Index of solvent to select.</p></li>
+<li><p><strong>solvent_db_path</strong> (<em>str</em>) – Path to solvent database.</p></li>
+<li><p><strong>solvent_density</strong> (<em>float</em>) – Desired solvent density to use. If not specified, the default is used
+from the solvent databases.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.solvent.Solvent.solvent_id_from_db">
+<span class="sig-name descname"><span class="pre">solvent_id_from_db</span></span><a class="headerlink" href="#data.oc.core.solvent.Solvent.solvent_id_from_db" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.solvent.Solvent.solvent_db_path">
+<span class="sig-name descname"><span class="pre">solvent_db_path</span></span><a class="headerlink" href="#data.oc.core.solvent.Solvent.solvent_db_path" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.solvent.Solvent.solvent_density">
+<span class="sig-name descname"><span class="pre">solvent_density</span></span><a class="headerlink" href="#data.oc.core.solvent.Solvent.solvent_density" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.core.solvent.Solvent.molar_mass">
+<span class="sig-name descname"><span class="pre">molar_mass</span></span><a class="headerlink" href="#data.oc.core.solvent.Solvent.molar_mass" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.solvent.Solvent.__len__">
+<span class="sig-name descname"><span class="pre">__len__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.solvent.Solvent.__len__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.solvent.Solvent.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.core.solvent.Solvent.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.core.solvent.Solvent._load_solvent">
+<span class="sig-name descname"><span class="pre">_load_solvent</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">solvent</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#data.oc.core.solvent.Solvent._load_solvent" title="Link to this definition">#</a></dt>
+<dd><p>Saves the fields from an adsorbate stored in a database. Fields added
+after the first revision are conditionally added for backwards
+compatibility with older database files.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="data.oc.core.solvent.Solvent.molecules_per_volume">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">molecules_per_volume</span></span><a class="headerlink" href="#data.oc.core.solvent.Solvent.molecules_per_volume" title="Link to this definition">#</a></dt>
+<dd><p>Convert the solvent density in g/cm3 to the number of molecules per
+angstrom cubed of volume.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent"><code class="docutils literal notranslate"><span class="pre">Solvent</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.solvent_id_from_db"><code class="docutils literal notranslate"><span class="pre">Solvent.solvent_id_from_db</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.solvent_db_path"><code class="docutils literal notranslate"><span class="pre">Solvent.solvent_db_path</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.solvent_density"><code class="docutils literal notranslate"><span class="pre">Solvent.solvent_density</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.molar_mass"><code class="docutils literal notranslate"><span class="pre">Solvent.molar_mass</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.__len__"><code class="docutils literal notranslate"><span class="pre">Solvent.__len__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.__str__"><code class="docutils literal notranslate"><span class="pre">Solvent.__str__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent._load_solvent"><code class="docutils literal notranslate"><span class="pre">Solvent._load_solvent()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.core.solvent.Solvent.molecules_per_volume"><code class="docutils literal notranslate"><span class="pre">Solvent.molecules_per_volume</span></code></a></li>
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+    <h1>data.oc.databases.pkls</h1>
+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.databases.pkls.BULK_PKL_PATH"><code class="docutils literal notranslate"><span class="pre">BULK_PKL_PATH</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.databases.pkls.ADSORBATE_PKL_PATH"><code class="docutils literal notranslate"><span class="pre">ADSORBATE_PKL_PATH</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.databases.pkls.SOLVENT_PKL_PATH"><code class="docutils literal notranslate"><span class="pre">SOLVENT_PKL_PATH</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.databases.pkls.ION_PKL_PATH"><code class="docutils literal notranslate"><span class="pre">ION_PKL_PATH</span></code></a></li>
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+                <article class="bd-article">
+                  
+  <section id="module-data.oc.databases.pkls">
+<span id="data-oc-databases-pkls"></span><h1>data.oc.databases.pkls<a class="headerlink" href="#module-data.oc.databases.pkls" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.databases.pkls.BULK_PKL_PATH" title="data.oc.databases.pkls.BULK_PKL_PATH"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BULK_PKL_PATH</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.databases.pkls.ADSORBATE_PKL_PATH" title="data.oc.databases.pkls.ADSORBATE_PKL_PATH"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ADSORBATE_PKL_PATH</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.databases.pkls.SOLVENT_PKL_PATH" title="data.oc.databases.pkls.SOLVENT_PKL_PATH"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SOLVENT_PKL_PATH</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.databases.pkls.ION_PKL_PATH" title="data.oc.databases.pkls.ION_PKL_PATH"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ION_PKL_PATH</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.databases.pkls.BULK_PKL_PATH">
+<span class="sig-prename descclassname"><span class="pre">data.oc.databases.pkls.</span></span><span class="sig-name descname"><span class="pre">BULK_PKL_PATH</span></span><a class="headerlink" href="#data.oc.databases.pkls.BULK_PKL_PATH" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.databases.pkls.ADSORBATE_PKL_PATH">
+<span class="sig-prename descclassname"><span class="pre">data.oc.databases.pkls.</span></span><span class="sig-name descname"><span class="pre">ADSORBATE_PKL_PATH</span></span><a class="headerlink" href="#data.oc.databases.pkls.ADSORBATE_PKL_PATH" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.databases.pkls.SOLVENT_PKL_PATH">
+<span class="sig-prename descclassname"><span class="pre">data.oc.databases.pkls.</span></span><span class="sig-name descname"><span class="pre">SOLVENT_PKL_PATH</span></span><a class="headerlink" href="#data.oc.databases.pkls.SOLVENT_PKL_PATH" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.databases.pkls.ION_PKL_PATH">
+<span class="sig-prename descclassname"><span class="pre">data.oc.databases.pkls.</span></span><span class="sig-name descname"><span class="pre">ION_PKL_PATH</span></span><a class="headerlink" href="#data.oc.databases.pkls.ION_PKL_PATH" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>data.oc.databases.update</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.databases.update.pbc_patch"><code class="docutils literal notranslate"><span class="pre">pbc_patch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.databases.update.set_pbc_patch"><code class="docutils literal notranslate"><span class="pre">set_pbc_patch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.databases.update.update_pkls"><code class="docutils literal notranslate"><span class="pre">update_pkls()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.databases.update.update_dbs"><code class="docutils literal notranslate"><span class="pre">update_dbs()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.databases.update">
+<span id="data-oc-databases-update"></span><h1>data.oc.databases.update<a class="headerlink" href="#module-data.oc.databases.update" title="Link to this heading">#</a></h1>
+<p>Script for updating ase pkl and db files from v3.19 to v3.21.
+Run it with ase v3.19.</p>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.databases.update.pbc_patch" title="data.oc.databases.update.pbc_patch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pbc_patch</span></code></a>(self)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.databases.update.set_pbc_patch" title="data.oc.databases.update.set_pbc_patch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_pbc_patch</span></code></a>(self, pbc)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.databases.update.update_pkls" title="data.oc.databases.update.update_pkls"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_pkls</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.databases.update.update_dbs" title="data.oc.databases.update.update_dbs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_dbs</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.databases.update.pbc_patch">
+<span class="sig-prename descclassname"><span class="pre">data.oc.databases.update.</span></span><span class="sig-name descname"><span class="pre">pbc_patch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.databases.update.pbc_patch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.databases.update.set_pbc_patch">
+<span class="sig-prename descclassname"><span class="pre">data.oc.databases.update.</span></span><span class="sig-name descname"><span class="pre">set_pbc_patch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbc</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.databases.update.set_pbc_patch" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.databases.update.update_pkls">
+<span class="sig-prename descclassname"><span class="pre">data.oc.databases.update.</span></span><span class="sig-name descname"><span class="pre">update_pkls</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.databases.update.update_pkls" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.databases.update.update_dbs">
+<span class="sig-prename descclassname"><span class="pre">data.oc.databases.update.</span></span><span class="sig-name descname"><span class="pre">update_dbs</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.databases.update.update_dbs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+    <h1>data.oc.experimental.get_energies</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.get_energies.extract_file"><code class="docutils literal notranslate"><span class="pre">extract_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.get_energies.process_func"><code class="docutils literal notranslate"><span class="pre">process_func()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.get_energies.input_folder"><code class="docutils literal notranslate"><span class="pre">input_folder</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.experimental.get_energies">
+<span id="data-oc-experimental-get-energies"></span><h1>data.oc.experimental.get_energies<a class="headerlink" href="#module-data.oc.experimental.get_energies" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.experimental.get_energies.input_folder" title="data.oc.experimental.get_energies.input_folder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_folder</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.experimental.get_energies.extract_file" title="data.oc.experimental.get_energies.extract_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">extract_file</span></code></a>(zipname, file_to_unzip, extract_to)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.experimental.get_energies.process_func" title="data.oc.experimental.get_energies.process_func"><code class="xref py py-obj docutils literal notranslate"><span class="pre">process_func</span></code></a>(indices, dirlist, ans)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.experimental.get_energies.extract_file">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.get_energies.</span></span><span class="sig-name descname"><span class="pre">extract_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">zipname</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_to_unzip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extract_to</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.experimental.get_energies.extract_file" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.experimental.get_energies.process_func">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.get_energies.</span></span><span class="sig-name descname"><span class="pre">process_func</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">indices</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dirlist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ans</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.experimental.get_energies.process_func" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.experimental.get_energies.input_folder">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.get_energies.</span></span><span class="sig-name descname"><span class="pre">input_folder</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'temp_download/'</span></em><a class="headerlink" href="#data.oc.experimental.get_energies.input_folder" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.merge_traj.extract_file"><code class="docutils literal notranslate"><span class="pre">extract_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.merge_traj.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+  <section id="module-data.oc.experimental.merge_traj">
+<span id="data-oc-experimental-merge-traj"></span><h1>data.oc.experimental.merge_traj<a class="headerlink" href="#module-data.oc.experimental.merge_traj" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.experimental.merge_traj.extract_file" title="data.oc.experimental.merge_traj.extract_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">extract_file</span></code></a>(zipname, file_to_unzip, extract_to)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.experimental.merge_traj.main" title="data.oc.experimental.merge_traj.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>()</p></td>
+<td><p>Given a directory containing adsorbate subdirectories, loops through all</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.experimental.merge_traj.extract_file">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.merge_traj.</span></span><span class="sig-name descname"><span class="pre">extract_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">zipname</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_to_unzip</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extract_to</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.experimental.merge_traj.extract_file" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.experimental.merge_traj.main">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.merge_traj.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.experimental.merge_traj.main" title="Link to this definition">#</a></dt>
+<dd><p>Given a directory containing adsorbate subdirectories, loops through all
+runs and merges intermediate checkpoints into a single, full trajectory.</p>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+            repo: "binder-examples/jupyter-stacks-datascience",
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+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/data/oc/experimental/merge_traj"
+        },
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.merge_traj.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.perturb_systems.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+  <section id="module-data.oc.experimental.perturb_systems">
+<span id="data-oc-experimental-perturb-systems"></span><h1>data.oc.experimental.perturb_systems<a class="headerlink" href="#module-data.oc.experimental.perturb_systems" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.experimental.perturb_systems.main" title="data.oc.experimental.perturb_systems.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>()</p></td>
+<td><p>Rattles every image along a relaxation pathway at 5 different variances.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.experimental.perturb_systems.main">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.perturb_systems.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.experimental.perturb_systems.main" title="Link to this definition">#</a></dt>
+<dd><p>Rattles every image along a relaxation pathway at 5 different variances.
+Rattled images are then put in their own directory along with the input
+files necessary to run VASP calculations.</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.perturb_systems.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.rattle_test.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+  <section id="module-data.oc.experimental.rattle_test">
+<span id="data-oc-experimental-rattle-test"></span><h1>data.oc.experimental.rattle_test<a class="headerlink" href="#module-data.oc.experimental.rattle_test" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.experimental.rattle_test.main" title="data.oc.experimental.rattle_test.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>()</p></td>
+<td><p>Checks whether ASE's rattle modifies fixed atoms.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.experimental.rattle_test.main">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.rattle_test.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.experimental.rattle_test.main" title="Link to this definition">#</a></dt>
+<dd><p>Checks whether ASE’s rattle modifies fixed atoms.
+‘</p>
+</dd></dl>
+
+</section>
+</section>
+
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+    <h1>data.oc.experimental.utils</h1>
+    <!-- Table of contents -->
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+            
+            <div>
+                <h2> Contents </h2>
+            </div>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.utils.v0_check"><code class="docutils literal notranslate"><span class="pre">v0_check()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.utils.restart_bug_check"><code class="docutils literal notranslate"><span class="pre">restart_bug_check()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.utils.plot_traj"><code class="docutils literal notranslate"><span class="pre">plot_traj()</span></code></a></li>
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+                  
+  <section id="module-data.oc.experimental.utils">
+<span id="data-oc-experimental-utils"></span><h1>data.oc.experimental.utils<a class="headerlink" href="#module-data.oc.experimental.utils" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.experimental.utils.v0_check" title="data.oc.experimental.utils.v0_check"><code class="xref py py-obj docutils literal notranslate"><span class="pre">v0_check</span></code></a>(full_traj, initial)</p></td>
+<td><p>Checks whether the initial structure as gathered from the POSCAR input file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.experimental.utils.restart_bug_check" title="data.oc.experimental.utils.restart_bug_check"><code class="xref py py-obj docutils literal notranslate"><span class="pre">restart_bug_check</span></code></a>(full_traj)</p></td>
+<td><p>Observed that some of the trajectories had a strange identically cyclical</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.experimental.utils.plot_traj" title="data.oc.experimental.utils.plot_traj"><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_traj</span></code></a>(traj, fname)</p></td>
+<td><p>Plots the energy profile of a given trajectory</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.experimental.utils.v0_check">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.utils.</span></span><span class="sig-name descname"><span class="pre">v0_check</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">full_traj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initial</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.experimental.utils.v0_check" title="Link to this definition">#</a></dt>
+<dd><p>Checks whether the initial structure as gathered from the POSCAR input file
+is in agreement with the initial image of the full trajectory. If not, the
+trajectory comes fro the V0 dataset which failed to save intermediate
+checkpoints.</p>
+<p>Args
+full_traj (list of Atoms objects): Calculated full trajectory.
+initial (Atoms object): Starting image provided by POSCAR..</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.experimental.utils.restart_bug_check">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.utils.</span></span><span class="sig-name descname"><span class="pre">restart_bug_check</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">full_traj</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.experimental.utils.restart_bug_check" title="Link to this definition">#</a></dt>
+<dd><p>Observed that some of the trajectories had a strange identically cyclical
+behavior - suggesting that a checkpoint was restarted from an earlier
+checkpoint rather than the latest. Checks whether the trajectory provided
+falls within that bug.</p>
+<p>Args
+full_traj (list of Atoms objects): Calculated full trajectory.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.experimental.utils.plot_traj">
+<span class="sig-prename descclassname"><span class="pre">data.oc.experimental.utils.</span></span><span class="sig-name descname"><span class="pre">plot_traj</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">traj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.experimental.utils.plot_traj" title="Link to this definition">#</a></dt>
+<dd><p>Plots the energy profile of a given trajectory</p>
+<p>Args
+traj (list of Atoms objects): Full trajectory to be plotted
+fname (str): Filename to be used as title and save figure as.</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.experimental.utils.plot_traj"><code class="docutils literal notranslate"><span class="pre">plot_traj()</span></code></a></li>
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+</div>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>data.oc.scripts.precompute_sample_structures</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.__authors__"><code class="docutils literal notranslate"><span class="pre">__authors__</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.__email__"><code class="docutils literal notranslate"><span class="pre">__email__</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.BULK_PKL"><code class="docutils literal notranslate"><span class="pre">BULK_PKL</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.MAX_MILLER"><code class="docutils literal notranslate"><span class="pre">MAX_MILLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.enumerate_surfaces_for_saving"><code class="docutils literal notranslate"><span class="pre">enumerate_surfaces_for_saving()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.standardize_bulk"><code class="docutils literal notranslate"><span class="pre">standardize_bulk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.is_structure_invertible"><code class="docutils literal notranslate"><span class="pre">is_structure_invertible()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.flip_struct"><code class="docutils literal notranslate"><span class="pre">flip_struct()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.precompute_enumerate_surface"><code class="docutils literal notranslate"><span class="pre">precompute_enumerate_surface()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.s"><code class="docutils literal notranslate"><span class="pre">s</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.scripts.precompute_sample_structures">
+<span id="data-oc-scripts-precompute-sample-structures"></span><h1>data.oc.scripts.precompute_sample_structures<a class="headerlink" href="#module-data.oc.scripts.precompute_sample_structures" title="Link to this heading">#</a></h1>
+<p>This submodule contains the scripts that the we used to sample the adsorption
+structures.</p>
+<p>Note that some of these scripts were taken from
+[GASpy](<a class="github reference external" href="https://github.com/ulissigroup/GASpy">ulissigroup/GASpy</a>) with permission of author.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.__authors__" title="data.oc.scripts.precompute_sample_structures.__authors__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__authors__</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.__email__" title="data.oc.scripts.precompute_sample_structures.__email__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__email__</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.BULK_PKL" title="data.oc.scripts.precompute_sample_structures.BULK_PKL"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BULK_PKL</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.MAX_MILLER" title="data.oc.scripts.precompute_sample_structures.MAX_MILLER"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAX_MILLER</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.s" title="data.oc.scripts.precompute_sample_structures.s"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.enumerate_surfaces_for_saving" title="data.oc.scripts.precompute_sample_structures.enumerate_surfaces_for_saving"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enumerate_surfaces_for_saving</span></code></a>(bulk_atoms[, max_miller])</p></td>
+<td><p>Enumerate all the symmetrically distinct surfaces of a bulk structure. It</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.standardize_bulk" title="data.oc.scripts.precompute_sample_structures.standardize_bulk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">standardize_bulk</span></code></a>(atoms)</p></td>
+<td><p>There are many ways to define a bulk unit cell. If you change the unit cell</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.is_structure_invertible" title="data.oc.scripts.precompute_sample_structures.is_structure_invertible"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_structure_invertible</span></code></a>(structure)</p></td>
+<td><p>This function figures out whether or not an <cite>pymatgen.Structure</cite> object has</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.flip_struct" title="data.oc.scripts.precompute_sample_structures.flip_struct"><code class="xref py py-obj docutils literal notranslate"><span class="pre">flip_struct</span></code></a>(struct)</p></td>
+<td><p>Flips an atoms object upside down. Normally used to flip surfaces.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.scripts.precompute_sample_structures.precompute_enumerate_surface" title="data.oc.scripts.precompute_sample_structures.precompute_enumerate_surface"><code class="xref py py-obj docutils literal notranslate"><span class="pre">precompute_enumerate_surface</span></code></a>(bulk_database, ...)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.__authors__">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">__authors__</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">['Kevin</span> <span class="pre">Tran',</span> <span class="pre">'Aini</span> <span class="pre">Palizhati',</span> <span class="pre">'Siddharth</span> <span class="pre">Goyal',</span> <span class="pre">'Zachary</span> <span class="pre">Ulissi']</span></em><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.__authors__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.__email__">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">__email__</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">['ktran&#64;andrew.cmu.edu']</span></em><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.__email__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.BULK_PKL">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">BULK_PKL</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'/fill/this/in/with/path/to/bulk/pkl/file'</span></em><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.BULK_PKL" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.MAX_MILLER">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">MAX_MILLER</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">2</span></em><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.MAX_MILLER" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.enumerate_surfaces_for_saving">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">enumerate_surfaces_for_saving</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_miller</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">MAX_MILLER</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.enumerate_surfaces_for_saving" title="Link to this definition">#</a></dt>
+<dd><p>Enumerate all the symmetrically distinct surfaces of a bulk structure. It
+will not enumerate surfaces with Miller indices above the <cite>max_miller</cite>
+argument. Note that we also look at the bottoms of surfaces if they are
+distinct from the top. If they are distinct, we flip the surface so the bottom
+is pointing upwards.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>enumerate</strong> (<em>bulk_atoms  ase.Atoms object</em><em> of </em><em>the bulk you want to</em>) – surfaces from.</p></li>
+<li><p><strong>surfaces</strong> (<em>max_miller  An integer indicating the maximum Miller index</em><em> of </em><em>the</em>) – you are willing to enumerate. Increasing this argument will
+increase the number of surfaces, but the surfaces will
+generally become larger.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><dl class="simple">
+<dt><cite>pymatgen.Structure</cite></dt><dd><p>objects for surfaces we have enumerated, the Miller
+indices, floats for the shifts, and Booleans for “top”.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>all_slabs_info  A list of 4-tuples containing</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.standardize_bulk">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">standardize_bulk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.standardize_bulk" title="Link to this definition">#</a></dt>
+<dd><p>There are many ways to define a bulk unit cell. If you change the unit cell
+itself but also change the locations of the atoms within the unit cell, you
+can get effectively the same bulk structure. To address this, there is a
+standardization method used to reduce the degrees of freedom such that each
+unit cell only has one “true” configuration. This function will align a
+unit cell you give it to fit within this standardization.</p>
+<dl class="simple">
+<dt>Arg:</dt><dd><p>atoms   <cite>ase.Atoms</cite> object of the bulk you want to standardize</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>standardized_struct     <cite>pymatgen.Structure</cite> of the standardized bulk</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.is_structure_invertible">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">is_structure_invertible</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">structure</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.is_structure_invertible" title="Link to this definition">#</a></dt>
+<dd><p>This function figures out whether or not an <cite>pymatgen.Structure</cite> object has
+symmetricity. In this function, the affine matrix is a rotation matrix that
+is multiplied with the XYZ positions of the crystal. If the z,z component
+of that is negative, it means symmetry operation exist, it could be a
+mirror operation, or one that involves multiple rotations/etc. Regardless,
+it means that the top becomes the bottom and vice-versa, and the structure
+is the symmetric. i.e. structure_XYZ = structure_XYZ*M.</p>
+<p>In short:  If this function returns <cite>False</cite>, then the input structure can
+be flipped in the z-direction to create a new structure.</p>
+<dl class="simple">
+<dt>Arg:</dt><dd><p>structure   A <cite>pymatgen.Structure</cite> object.</p>
+</dd>
+<dt>Returns</dt><dd><p>A boolean indicating whether or not your <cite>ase.Atoms</cite> object is
+symmetric in z-direction (i.e. symmetric with respect to x-y plane).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.flip_struct">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">flip_struct</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">struct</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.flip_struct" title="Link to this definition">#</a></dt>
+<dd><p>Flips an atoms object upside down. Normally used to flip surfaces.</p>
+<dl class="simple">
+<dt>Arg:</dt><dd><p>atoms   <cite>pymatgen.Structure</cite> object</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><dl class="simple">
+<dt>flipped_struct  The same <cite>ase.Atoms</cite> object that was fed as an</dt><dd><p>argument, but flipped upside down.</p>
+</dd>
+</dl>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.precompute_enumerate_surface">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">precompute_enumerate_surface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_database</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opfile</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.precompute_enumerate_surface" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.scripts.precompute_sample_structures.s">
+<span class="sig-prename descclassname"><span class="pre">data.oc.scripts.precompute_sample_structures.</span></span><span class="sig-name descname"><span class="pre">s</span></span><a class="headerlink" href="#data.oc.scripts.precompute_sample_structures.s" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/data/oc/scripts/precompute_sample_structures"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
+</div>
+                </footer>
+              
+            </div>
+            
+            
+              
+                <dialog id="pst-secondary-sidebar-modal"></dialog>
+                <div id="pst-secondary-sidebar" class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
+
+
+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.__authors__"><code class="docutils literal notranslate"><span class="pre">__authors__</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.__email__"><code class="docutils literal notranslate"><span class="pre">__email__</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.BULK_PKL"><code class="docutils literal notranslate"><span class="pre">BULK_PKL</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.MAX_MILLER"><code class="docutils literal notranslate"><span class="pre">MAX_MILLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.enumerate_surfaces_for_saving"><code class="docutils literal notranslate"><span class="pre">enumerate_surfaces_for_saving()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.standardize_bulk"><code class="docutils literal notranslate"><span class="pre">standardize_bulk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.is_structure_invertible"><code class="docutils literal notranslate"><span class="pre">is_structure_invertible()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.flip_struct"><code class="docutils literal notranslate"><span class="pre">flip_struct()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.precompute_enumerate_surface"><code class="docutils literal notranslate"><span class="pre">precompute_enumerate_surface()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.scripts.precompute_sample_structures.s"><code class="docutils literal notranslate"><span class="pre">s</span></code></a></li>
+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>data.oc.structure_generator</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator"><code class="docutils literal notranslate"><span class="pre">StructureGenerator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.args"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.args</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.bulk_index"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.bulk_index</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.surface_index"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.surface_index</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.adsorbate_index"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.adsorbate_index</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.logger"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.logger</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.run"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.run()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator._write_adslabs"><code class="docutils literal notranslate"><span class="pre">StructureGenerator._write_adslabs()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.write_surface"><code class="docutils literal notranslate"><span class="pre">write_surface()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.precompute_slabs"><code class="docutils literal notranslate"><span class="pre">precompute_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.run_placements"><code class="docutils literal notranslate"><span class="pre">run_placements()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.args"><code class="docutils literal notranslate"><span class="pre">args</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.structure_generator">
+<span id="data-oc-structure-generator"></span><h1>data.oc.structure_generator<a class="headerlink" href="#module-data.oc.structure_generator" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.structure_generator.args" title="data.oc.structure_generator.args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">args</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.structure_generator.StructureGenerator" title="data.oc.structure_generator.StructureGenerator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">StructureGenerator</span></code></a></p></td>
+<td><p>A class that creates adsorbate/bulk/slab objects given specified indices,</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.structure_generator.write_surface" title="data.oc.structure_generator.write_surface"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_surface</span></code></a>(args, slab, bulk_index, surface_index)</p></td>
+<td><p>Writes vasp inputs and metadata for a specified  slab</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.structure_generator.parse_args" title="data.oc.structure_generator.parse_args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_args</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.structure_generator.precompute_slabs" title="data.oc.structure_generator.precompute_slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">precompute_slabs</span></code></a>(bulk_ind)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.structure_generator.run_placements" title="data.oc.structure_generator.run_placements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_placements</span></code></a>(inputs)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.structure_generator.StructureGenerator">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.structure_generator.</span></span><span class="sig-name descname"><span class="pre">StructureGenerator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">surface_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.structure_generator.StructureGenerator" title="Link to this definition">#</a></dt>
+<dd><p>A class that creates adsorbate/bulk/slab objects given specified indices,
+and writes vasp input files and metadata for multiple placements of the adsorbate
+on the slab. You can choose random, heuristic, or both types of placements.</p>
+<p>The output directory structure will have the following nested structure,
+where “files” represents the vasp input files and the metadata.pkl:</p>
+<blockquote>
+<div><dl>
+<dt>outputdir/</dt><dd><dl>
+<dt>bulk0/</dt><dd><dl>
+<dt>surface0/</dt><dd><p>surface/files
+ads0/</p>
+<blockquote>
+<div><p>heur0/files
+heur1/files
+rand0/files
+…</p>
+</div></blockquote>
+<dl class="simple">
+<dt>ads1/</dt><dd><p>…</p>
+</dd>
+</dl>
+</dd>
+<dt>surface1/</dt><dd><p>…</p>
+</dd>
+</dl>
+</dd>
+<dt>bulk1/</dt><dd><p>…</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</div></blockquote>
+<p>Precomputed surfaces will be calculated and saved out if they don’t
+already exist in the provided directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>args</strong> (<em>argparse.Namespace</em>) – Contains all command line args</p></li>
+<li><p><strong>bulk_index</strong> (<em>int</em>) – Index of the bulk within the bulk db</p></li>
+<li><p><strong>surface_index</strong> (<em>int</em>) – Index of the surface in the list of all possible surfaces</p></li>
+<li><p><strong>adsorbate_index</strong> (<em>int</em>) – Index of the adsorbate within the adsorbate db</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.structure_generator.StructureGenerator.args">
+<span class="sig-name descname"><span class="pre">args</span></span><a class="headerlink" href="#data.oc.structure_generator.StructureGenerator.args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.structure_generator.StructureGenerator.bulk_index">
+<span class="sig-name descname"><span class="pre">bulk_index</span></span><a class="headerlink" href="#data.oc.structure_generator.StructureGenerator.bulk_index" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.structure_generator.StructureGenerator.surface_index">
+<span class="sig-name descname"><span class="pre">surface_index</span></span><a class="headerlink" href="#data.oc.structure_generator.StructureGenerator.surface_index" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.structure_generator.StructureGenerator.adsorbate_index">
+<span class="sig-name descname"><span class="pre">adsorbate_index</span></span><a class="headerlink" href="#data.oc.structure_generator.StructureGenerator.adsorbate_index" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.structure_generator.StructureGenerator.logger">
+<span class="sig-name descname"><span class="pre">logger</span></span><a class="headerlink" href="#data.oc.structure_generator.StructureGenerator.logger" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.structure_generator.StructureGenerator.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.structure_generator.StructureGenerator.run" title="Link to this definition">#</a></dt>
+<dd><p>Create adsorbate/bulk/surface objects, generate adslab placements,
+and write to files.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.structure_generator.StructureGenerator._write_adslabs">
+<span class="sig-name descname"><span class="pre">_write_adslabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslab_obj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode_str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.structure_generator.StructureGenerator._write_adslabs" title="Link to this definition">#</a></dt>
+<dd><p>Write one set of adslabs (called separately for random and heurstic placements)</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.structure_generator.write_surface">
+<span class="sig-prename descclassname"><span class="pre">data.oc.structure_generator.</span></span><span class="sig-name descname"><span class="pre">write_surface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">surface_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.structure_generator.write_surface" title="Link to this definition">#</a></dt>
+<dd><p>Writes vasp inputs and metadata for a specified  slab</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.structure_generator.parse_args">
+<span class="sig-prename descclassname"><span class="pre">data.oc.structure_generator.</span></span><span class="sig-name descname"><span class="pre">parse_args</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.structure_generator.parse_args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.structure_generator.precompute_slabs">
+<span class="sig-prename descclassname"><span class="pre">data.oc.structure_generator.</span></span><span class="sig-name descname"><span class="pre">precompute_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk_ind</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.structure_generator.precompute_slabs" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.structure_generator.run_placements">
+<span class="sig-prename descclassname"><span class="pre">data.oc.structure_generator.</span></span><span class="sig-name descname"><span class="pre">run_placements</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.structure_generator.run_placements" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.structure_generator.args">
+<span class="sig-prename descclassname"><span class="pre">data.oc.structure_generator.</span></span><span class="sig-name descname"><span class="pre">args</span></span><a class="headerlink" href="#data.oc.structure_generator.args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator"><code class="docutils literal notranslate"><span class="pre">StructureGenerator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.args"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.args</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.bulk_index"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.bulk_index</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.surface_index"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.surface_index</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.adsorbate_index"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.adsorbate_index</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.logger"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.logger</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator.run"><code class="docutils literal notranslate"><span class="pre">StructureGenerator.run()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.StructureGenerator._write_adslabs"><code class="docutils literal notranslate"><span class="pre">StructureGenerator._write_adslabs()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.write_surface"><code class="docutils literal notranslate"><span class="pre">write_surface()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.precompute_slabs"><code class="docutils literal notranslate"><span class="pre">precompute_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.run_placements"><code class="docutils literal notranslate"><span class="pre">run_placements()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.structure_generator.args"><code class="docutils literal notranslate"><span class="pre">args</span></code></a></li>
+</ul>
+</li>
+</ul>
+  </nav></div>
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+    <h1>data.oc.utils.flag_anomaly</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.init_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.init_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.final_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_slab_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.final_slab_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.atoms_tag"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.atoms_tag</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.surface_change_cutoff_multiplier"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.surface_change_cutoff_multiplier</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.desorption_cutoff_multiplier"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.desorption_cutoff_multiplier</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_dissociated"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_dissociated()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.has_surface_changed"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.has_surface_changed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_desorbed"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_desorbed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly._get_connectivity"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly._get_connectivity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_intercalated"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_intercalated()</span></code></a></li>
+</ul>
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+              
+                
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+                <article class="bd-article">
+                  
+  <section id="module-data.oc.utils.flag_anomaly">
+<span id="data-oc-utils-flag-anomaly"></span><h1>data.oc.utils.flag_anomaly<a class="headerlink" href="#module-data.oc.utils.flag_anomaly" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly" title="data.oc.utils.flag_anomaly.DetectTrajAnomaly"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DetectTrajAnomaly</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.utils.flag_anomaly.</span></span><span class="sig-name descname"><span class="pre">DetectTrajAnomaly</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">init_atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final_atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_tag</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final_slab_atoms</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">surface_change_cutoff_multiplier</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">desorption_cutoff_multiplier</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.init_atoms">
+<span class="sig-name descname"><span class="pre">init_atoms</span></span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.init_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_atoms">
+<span class="sig-name descname"><span class="pre">final_atoms</span></span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_slab_atoms">
+<span class="sig-name descname"><span class="pre">final_slab_atoms</span></span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_slab_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.atoms_tag">
+<span class="sig-name descname"><span class="pre">atoms_tag</span></span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.atoms_tag" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.surface_change_cutoff_multiplier">
+<span class="sig-name descname"><span class="pre">surface_change_cutoff_multiplier</span></span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.surface_change_cutoff_multiplier" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.desorption_cutoff_multiplier">
+<span class="sig-name descname"><span class="pre">desorption_cutoff_multiplier</span></span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.desorption_cutoff_multiplier" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_dissociated">
+<span class="sig-name descname"><span class="pre">is_adsorbate_dissociated</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_dissociated" title="Link to this definition">#</a></dt>
+<dd><p>Tests if the initial adsorbate connectivity is maintained.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>True if the connectivity was not maintained, otherwise False</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.has_surface_changed">
+<span class="sig-name descname"><span class="pre">has_surface_changed</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.has_surface_changed" title="Link to this definition">#</a></dt>
+<dd><p>Tests bond breaking / forming events within a tolerance on the surface so
+that systems with significant adsorbate induces surface changes may be discarded
+since the reference to the relaxed slab may no longer be valid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>True if the surface is reconstructed, otherwise False</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_desorbed">
+<span class="sig-name descname"><span class="pre">is_adsorbate_desorbed</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_desorbed" title="Link to this definition">#</a></dt>
+<dd><p>If the adsorbate binding atoms have no connection with slab atoms,
+consider it desorbed.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>True if there is desorption, otherwise False</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly._get_connectivity">
+<span class="sig-name descname"><span class="pre">_get_connectivity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_multiplier</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly._get_connectivity" title="Link to this definition">#</a></dt>
+<dd><p>Generate the connectivity of an atoms obj.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms</strong> (<em>ase.Atoms</em>) – object which will have its connectivity considered</p></li>
+<li><p><strong>cutoff_multiplier</strong> (<em>float</em><em>, </em><em>optional</em>) – cushion for small atom movements when assessing
+atom connectivity</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The connectivity matrix of the atoms object.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(np.ndarray)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_intercalated">
+<span class="sig-name descname"><span class="pre">is_adsorbate_intercalated</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_intercalated" title="Link to this definition">#</a></dt>
+<dd><p>Ensure the adsorbate isn’t interacting with an atom that is not allowed to relax.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>True if any adsorbate atom neighbors a frozen atom, otherwise False</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.init_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.init_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.final_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_slab_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.final_slab_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.atoms_tag"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.atoms_tag</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.surface_change_cutoff_multiplier"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.surface_change_cutoff_multiplier</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.desorption_cutoff_multiplier"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.desorption_cutoff_multiplier</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_dissociated"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_dissociated()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.has_surface_changed"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.has_surface_changed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_desorbed"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_desorbed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly._get_connectivity"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly._get_connectivity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_intercalated"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_intercalated()</span></code></a></li>
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+    <h1>data.oc.utils.geometry</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry"><code class="docutils literal notranslate"><span class="pre">Geometry</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.distance_point_plane"><code class="docutils literal notranslate"><span class="pre">Geometry.distance_point_plane()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.vec_and_point_to_plane"><code class="docutils literal notranslate"><span class="pre">Geometry.vec_and_point_to_plane()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.cell2planes"><code class="docutils literal notranslate"><span class="pre">Geometry.cell2planes()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.extract_box_properties"><code class="docutils literal notranslate"><span class="pre">Geometry.extract_box_properties()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.packmol_structure"><code class="docutils literal notranslate"><span class="pre">Geometry.packmol_structure()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.planes"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.planes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.cell"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ll_corner"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.ll_corner</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ur_corner"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.ur_corner</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.packmol_structure"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.packmol_structure()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry"><code class="docutils literal notranslate"><span class="pre">BoxGeometry</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry.params"><code class="docutils literal notranslate"><span class="pre">BoxGeometry.params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry.length"><code class="docutils literal notranslate"><span class="pre">BoxGeometry.length</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry.__repr__"><code class="docutils literal notranslate"><span class="pre">BoxGeometry.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry.packmol_structure"><code class="docutils literal notranslate"><span class="pre">BoxGeometry.packmol_structure()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.utils.geometry">
+<span id="data-oc-utils-geometry"></span><h1>data.oc.utils.geometry<a class="headerlink" href="#module-data.oc.utils.geometry" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.geometry.Geometry" title="data.oc.utils.geometry.Geometry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Geometry</span></code></a></p></td>
+<td><p>Base class for geometries</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry" title="data.oc.utils.geometry.PlaneBoundTriclinicGeometry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry</span></code></a></p></td>
+<td><p>Triclinic crystal geometry based on ase.Atom cell</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.geometry.BoxGeometry" title="data.oc.utils.geometry.BoxGeometry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BoxGeometry</span></code></a></p></td>
+<td><p>Box geometry for orthorhombic cells.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.Geometry">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.utils.geometry.</span></span><span class="sig-name descname"><span class="pre">Geometry</span></span><a class="headerlink" href="#data.oc.utils.geometry.Geometry" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
+<p>Base class for geometries</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.Geometry.distance_point_plane">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">distance_point_plane</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point_plane</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point_ext</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.array</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.Geometry.distance_point_plane" title="Link to this definition">#</a></dt>
+<dd><p>Returns the (shortest) distance between a plane with normal vector
+‘vec’ through point ‘point_plane’ and a point ‘point_ext’.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>vec</strong> (<em>np.array</em>) – normal vector of plane</p></li>
+<li><p><strong>point_plane</strong> (<em>np.array</em>) – point on line</p></li>
+<li><p><strong>point_ext</strong> (<em>np.array</em>) – external point(s)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>(np.array) Distance between plane and external point(s)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.Geometry.vec_and_point_to_plane">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">vec_and_point_to_plane</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.array</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.Geometry.vec_and_point_to_plane" title="Link to this definition">#</a></dt>
+<dd><p>Returns the (unique) plane, given a normal vector ‘vec’ and a
+point ‘point’ in the plane. ax + by + cz - d = 0</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>vec</strong> (<em>np.array</em>) – normal vector of plane</p></li>
+<li><p><strong>point</strong> (<em>np.array</em>) – point in plane</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>(np.array) Paramterization of plane</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.Geometry.cell2planes">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cell2planes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cell</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.cell.Cell</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.Geometry.cell2planes" title="Link to this definition">#</a></dt>
+<dd><p>Get the parameterization of the sizes of a ase.Atom cell</p>
+<p>cell: ase.cell.Cell
+pbc (float): shift of boundaries to be used with periodic boundary condition</p>
+<dl class="simple">
+<dt>Return</dt><dd><p>(List[np.array]) Parameterization of cell plane sides</p>
+</dd>
+</dl>
+<p>3 planes intersect the origin by ase design.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.Geometry.extract_box_properties">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">extract_box_properties</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lo_corner</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_corner</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.array</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.Geometry.extract_box_properties" title="Link to this definition">#</a></dt>
+<dd><p>Given two of the properties ‘center’, ‘length’, ‘lo_corner’,
+‘hi_corner’, return all the properties. The properties that
+are not given are expected to be ‘None’.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.Geometry.packmol_structure">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">packmol_structure</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">number</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">side</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.Geometry.packmol_structure" title="Link to this definition">#</a></dt>
+<dd><p>How to write packmol input file. To be defined by inherited class.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.PlaneBoundTriclinicGeometry">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.utils.geometry.</span></span><span class="sig-name descname"><span class="pre">PlaneBoundTriclinicGeometry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cell</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.cell.Cell</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#data.oc.utils.geometry.Geometry" title="data.oc.utils.geometry.Geometry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Geometry</span></code></a></p>
+<p>Triclinic crystal geometry based on ase.Atom cell</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.PlaneBoundTriclinicGeometry.planes">
+<span class="sig-name descname"><span class="pre">planes</span></span><a class="headerlink" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.planes" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.PlaneBoundTriclinicGeometry.cell">
+<span class="sig-name descname"><span class="pre">cell</span></span><a class="headerlink" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.cell" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ll_corner">
+<span class="sig-name descname"><span class="pre">ll_corner</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[0,</span> <span class="pre">0,</span> <span class="pre">0]</span></em><a class="headerlink" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ll_corner" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ur_corner">
+<span class="sig-name descname"><span class="pre">ur_corner</span></span><a class="headerlink" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ur_corner" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.PlaneBoundTriclinicGeometry.packmol_structure">
+<span class="sig-name descname"><span class="pre">packmol_structure</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">number</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">side</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.packmol_structure" title="Link to this definition">#</a></dt>
+<dd><p>Make file structure to be used in packmol input script</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filename</strong> (<em>str</em>) – output filename to save structure</p></li>
+<li><p><strong>number</strong> (<em>int</em>) – number of solvent molecules</p></li>
+<li><p><strong>side</strong> (<em>str</em>) – pack solvent inside/outside of geometry</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>String with information about the structure</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.BoxGeometry">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.utils.geometry.</span></span><span class="sig-name descname"><span class="pre">BoxGeometry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lo_corner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_corner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.BoxGeometry" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#data.oc.utils.geometry.Geometry" title="data.oc.utils.geometry.Geometry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Geometry</span></code></a></p>
+<p>Box geometry for orthorhombic cells.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.BoxGeometry.params">
+<span class="sig-name descname"><span class="pre">params</span></span><a class="headerlink" href="#data.oc.utils.geometry.BoxGeometry.params" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.BoxGeometry.length">
+<span class="sig-name descname"><span class="pre">length</span></span><a class="headerlink" href="#data.oc.utils.geometry.BoxGeometry.length" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.BoxGeometry.__repr__">
+<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.BoxGeometry.__repr__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.geometry.BoxGeometry.packmol_structure">
+<span class="sig-name descname"><span class="pre">packmol_structure</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">number</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">side</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.geometry.BoxGeometry.packmol_structure" title="Link to this definition">#</a></dt>
+<dd><p>Make file structure to be used in packmol input script</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filename</strong> (<em>str</em>) – output filename to save structure</p></li>
+<li><p><strong>number</strong> (<em>int</em>) – number of solvent molecules</p></li>
+<li><p><strong>side</strong> (<em>str</em>) – pack solvent inside/outside of geometry</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>String with information about the structure</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry"><code class="docutils literal notranslate"><span class="pre">Geometry</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.distance_point_plane"><code class="docutils literal notranslate"><span class="pre">Geometry.distance_point_plane()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.vec_and_point_to_plane"><code class="docutils literal notranslate"><span class="pre">Geometry.vec_and_point_to_plane()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.cell2planes"><code class="docutils literal notranslate"><span class="pre">Geometry.cell2planes()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.extract_box_properties"><code class="docutils literal notranslate"><span class="pre">Geometry.extract_box_properties()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.Geometry.packmol_structure"><code class="docutils literal notranslate"><span class="pre">Geometry.packmol_structure()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.planes"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.planes</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.cell"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ll_corner"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.ll_corner</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ur_corner"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.ur_corner</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.packmol_structure"><code class="docutils literal notranslate"><span class="pre">PlaneBoundTriclinicGeometry.packmol_structure()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry"><code class="docutils literal notranslate"><span class="pre">BoxGeometry</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry.params"><code class="docutils literal notranslate"><span class="pre">BoxGeometry.params</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry.length"><code class="docutils literal notranslate"><span class="pre">BoxGeometry.length</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry.__repr__"><code class="docutils literal notranslate"><span class="pre">BoxGeometry.__repr__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.geometry.BoxGeometry.packmol_structure"><code class="docutils literal notranslate"><span class="pre">BoxGeometry.packmol_structure()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>data.oc.utils</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.init_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.init_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.final_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.final_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.final_slab_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.final_slab_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.atoms_tag"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.atoms_tag</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.surface_change_cutoff_multiplier"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.surface_change_cutoff_multiplier</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.desorption_cutoff_multiplier"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.desorption_cutoff_multiplier</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.is_adsorbate_dissociated"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_dissociated()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.has_surface_changed"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.has_surface_changed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.is_adsorbate_desorbed"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_desorbed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly._get_connectivity"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly._get_connectivity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.is_adsorbate_intercalated"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_intercalated()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.utils">
+<span id="data-oc-utils"></span><h1>data.oc.utils<a class="headerlink" href="#module-data.oc.utils" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="flag_anomaly/index.html">data.oc.utils.flag_anomaly</a></li>
+<li class="toctree-l1"><a class="reference internal" href="geometry/index.html">data.oc.utils.geometry</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vasp/index.html">data.oc.utils.vasp</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vasp_flags/index.html">data.oc.utils.vasp_flags</a></li>
+</ul>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.DetectTrajAnomaly" title="data.oc.utils.DetectTrajAnomaly"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DetectTrajAnomaly</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">data.oc.utils.</span></span><span class="sig-name descname"><span class="pre">DetectTrajAnomaly</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">init_atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final_atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">atoms_tag</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final_slab_atoms</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">surface_change_cutoff_multiplier</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">desorption_cutoff_multiplier</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly" title="Link to this definition">#</a></dt>
+<dd><dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.init_atoms">
+<span class="sig-name descname"><span class="pre">init_atoms</span></span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.init_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.final_atoms">
+<span class="sig-name descname"><span class="pre">final_atoms</span></span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.final_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.final_slab_atoms">
+<span class="sig-name descname"><span class="pre">final_slab_atoms</span></span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.final_slab_atoms" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.atoms_tag">
+<span class="sig-name descname"><span class="pre">atoms_tag</span></span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.atoms_tag" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.surface_change_cutoff_multiplier">
+<span class="sig-name descname"><span class="pre">surface_change_cutoff_multiplier</span></span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.surface_change_cutoff_multiplier" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.desorption_cutoff_multiplier">
+<span class="sig-name descname"><span class="pre">desorption_cutoff_multiplier</span></span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.desorption_cutoff_multiplier" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.is_adsorbate_dissociated">
+<span class="sig-name descname"><span class="pre">is_adsorbate_dissociated</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.is_adsorbate_dissociated" title="Link to this definition">#</a></dt>
+<dd><p>Tests if the initial adsorbate connectivity is maintained.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>True if the connectivity was not maintained, otherwise False</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.has_surface_changed">
+<span class="sig-name descname"><span class="pre">has_surface_changed</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.has_surface_changed" title="Link to this definition">#</a></dt>
+<dd><p>Tests bond breaking / forming events within a tolerance on the surface so
+that systems with significant adsorbate induces surface changes may be discarded
+since the reference to the relaxed slab may no longer be valid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>True if the surface is reconstructed, otherwise False</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.is_adsorbate_desorbed">
+<span class="sig-name descname"><span class="pre">is_adsorbate_desorbed</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.is_adsorbate_desorbed" title="Link to this definition">#</a></dt>
+<dd><p>If the adsorbate binding atoms have no connection with slab atoms,
+consider it desorbed.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>True if there is desorption, otherwise False</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly._get_connectivity">
+<span class="sig-name descname"><span class="pre">_get_connectivity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_multiplier</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly._get_connectivity" title="Link to this definition">#</a></dt>
+<dd><p>Generate the connectivity of an atoms obj.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms</strong> (<em>ase.Atoms</em>) – object which will have its connectivity considered</p></li>
+<li><p><strong>cutoff_multiplier</strong> (<em>float</em><em>, </em><em>optional</em>) – cushion for small atom movements when assessing
+atom connectivity</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The connectivity matrix of the atoms object.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>(np.ndarray)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="data.oc.utils.DetectTrajAnomaly.is_adsorbate_intercalated">
+<span class="sig-name descname"><span class="pre">is_adsorbate_intercalated</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.DetectTrajAnomaly.is_adsorbate_intercalated" title="Link to this definition">#</a></dt>
+<dd><p>Ensure the adsorbate isn’t interacting with an atom that is not allowed to relax.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>True if any adsorbate atom neighbors a frozen atom, otherwise False</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>(bool)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.init_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.init_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.final_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.final_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.final_slab_atoms"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.final_slab_atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.atoms_tag"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.atoms_tag</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.surface_change_cutoff_multiplier"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.surface_change_cutoff_multiplier</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.desorption_cutoff_multiplier"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.desorption_cutoff_multiplier</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.is_adsorbate_dissociated"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_dissociated()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.has_surface_changed"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.has_surface_changed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.is_adsorbate_desorbed"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_desorbed()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly._get_connectivity"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly._get_connectivity()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.DetectTrajAnomaly.is_adsorbate_intercalated"><code class="docutils literal notranslate"><span class="pre">DetectTrajAnomaly.is_adsorbate_intercalated()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp.__author__"><code class="docutils literal notranslate"><span class="pre">__author__</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp.__email__"><code class="docutils literal notranslate"><span class="pre">__email__</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp._clean_up_inputs"><code class="docutils literal notranslate"><span class="pre">_clean_up_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp.calculate_surface_k_points"><code class="docutils literal notranslate"><span class="pre">calculate_surface_k_points()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp.write_vasp_input_files"><code class="docutils literal notranslate"><span class="pre">write_vasp_input_files()</span></code></a></li>
+</ul>
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+                <article class="bd-article">
+                  
+  <section id="module-data.oc.utils.vasp">
+<span id="data-oc-utils-vasp"></span><h1>data.oc.utils.vasp<a class="headerlink" href="#module-data.oc.utils.vasp" title="Link to this heading">#</a></h1>
+<p>This submodule contains the scripts that the we used to run VASP.</p>
+<p>Note that some of these scripts were taken and modified from
+[GASpy](<a class="github reference external" href="https://github.com/ulissigroup/GASpy">ulissigroup/GASpy</a>) with permission of authors.</p>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.vasp.__author__" title="data.oc.utils.vasp.__author__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__author__</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.utils.vasp.__email__" title="data.oc.utils.vasp.__email__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__email__</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.vasp._clean_up_inputs" title="data.oc.utils.vasp._clean_up_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_clean_up_inputs</span></code></a>(atoms, vasp_flags)</p></td>
+<td><p>Parses the inputs and makes sure some things are straightened out.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.utils.vasp.calculate_surface_k_points" title="data.oc.utils.vasp.calculate_surface_k_points"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calculate_surface_k_points</span></code></a>(atoms)</p></td>
+<td><p>For surface calculations, it's a good practice to calculate the k-point</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.vasp.write_vasp_input_files" title="data.oc.utils.vasp.write_vasp_input_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_vasp_input_files</span></code></a>(atoms[, outdir, vasp_flags, ...])</p></td>
+<td><p>Effectively goes through the same motions as the <cite>run_vasp</cite> function,</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.utils.vasp.__author__">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp.</span></span><span class="sig-name descname"><span class="pre">__author__</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'Kevin</span> <span class="pre">Tran'</span></em><a class="headerlink" href="#data.oc.utils.vasp.__author__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.utils.vasp.__email__">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp.</span></span><span class="sig-name descname"><span class="pre">__email__</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'ktran&#64;andrew.cmu.edu'</span></em><a class="headerlink" href="#data.oc.utils.vasp.__email__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.utils.vasp._clean_up_inputs">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp.</span></span><span class="sig-name descname"><span class="pre">_clean_up_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vasp_flags</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.vasp._clean_up_inputs" title="Link to this definition">#</a></dt>
+<dd><p>Parses the inputs and makes sure some things are straightened out.</p>
+<dl>
+<dt>Arg:</dt><dd><p>atoms       <cite>ase.Atoms</cite> object of the structure we want to relax
+vasp_flags  A dictionary of settings we want to pass to the <cite>Vasp</cite></p>
+<blockquote>
+<div><p>calculator</p>
+</div></blockquote>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><dl class="simple">
+<dt>atoms       <cite>ase.Atoms</cite> object of the structure we want to relax, but</dt><dd><p>with the unit vectors fixed (if needed)</p>
+</dd>
+</dl>
+<p>vasp_flags  A modified version of the ‘vasp_flags’ argument</p>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.utils.vasp.calculate_surface_k_points">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp.</span></span><span class="sig-name descname"><span class="pre">calculate_surface_k_points</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.vasp.calculate_surface_k_points" title="Link to this definition">#</a></dt>
+<dd><p>For surface calculations, it’s a good practice to calculate the k-point
+mesh given the unit cell size. We do that on-the-spot here.</p>
+<dl class="simple">
+<dt>Arg:</dt><dd><p>atoms   <cite>ase.Atoms</cite> object of the structure we want to relax</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>k_pts   A 3-tuple of integers indicating the k-point mesh to use</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.oc.utils.vasp.write_vasp_input_files">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp.</span></span><span class="sig-name descname"><span class="pre">write_vasp_input_files</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outdir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'.'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vasp_flags</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pp_setups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'minimal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pp_env</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'VASP_PP_PATH'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.oc.utils.vasp.write_vasp_input_files" title="Link to this definition">#</a></dt>
+<dd><p>Effectively goes through the same motions as the <cite>run_vasp</cite> function,
+except it only writes the input files instead of running.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>relax.</strong> (<em>atoms       ase.Atoms object that we want to</em>)</p></li>
+<li><p><strong>files.</strong> (<em>outdir      A string indicating where you want to save the input</em>) – Defaults to ‘.’</p></li>
+<li><p><strong>Vasp</strong> (<em>vasp_flags  A dictionary</em><em> of </em><em>settings we want to pass to the</em>) – calculator. Defaults to a standerd set of values if <cite>None</cite></p></li>
+<li><p><strong>https</strong> (<em>pp_setups   Pseudopotential setups to use -</em>) – //gitlab.com/ase/ase/-/blob/master/ase/calculators/vasp/setups.py</p></li>
+<li><p><strong>pseudopotentials.</strong> (<em>pp_env      Environment variable to read for</em>)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp._clean_up_inputs"><code class="docutils literal notranslate"><span class="pre">_clean_up_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp.calculate_surface_k_points"><code class="docutils literal notranslate"><span class="pre">calculate_surface_k_points()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp.write_vasp_input_files"><code class="docutils literal notranslate"><span class="pre">write_vasp_input_files()</span></code></a></li>
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+    <h1>data.oc.utils.vasp_flags</h1>
+    <!-- Table of contents -->
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+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.VASP_FLAGS"><code class="docutils literal notranslate"><span class="pre">VASP_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.BULK_VASP_FLAGS"><code class="docutils literal notranslate"><span class="pre">BULK_VASP_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.SOLVENT_BASE_FLAGS"><code class="docutils literal notranslate"><span class="pre">SOLVENT_BASE_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.SOLVENT_BULK_VASP_FLAGS"><code class="docutils literal notranslate"><span class="pre">SOLVENT_BULK_VASP_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.RELAX_FLAGS"><code class="docutils literal notranslate"><span class="pre">RELAX_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.MD_FLAGS"><code class="docutils literal notranslate"><span class="pre">MD_FLAGS</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.oc.utils.vasp_flags">
+<span id="data-oc-utils-vasp-flags"></span><h1>data.oc.utils.vasp_flags<a class="headerlink" href="#module-data.oc.utils.vasp_flags" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.vasp_flags.VASP_FLAGS" title="data.oc.utils.vasp_flags.VASP_FLAGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VASP_FLAGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.utils.vasp_flags.BULK_VASP_FLAGS" title="data.oc.utils.vasp_flags.BULK_VASP_FLAGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BULK_VASP_FLAGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.vasp_flags.SOLVENT_BASE_FLAGS" title="data.oc.utils.vasp_flags.SOLVENT_BASE_FLAGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SOLVENT_BASE_FLAGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.utils.vasp_flags.SOLVENT_BULK_VASP_FLAGS" title="data.oc.utils.vasp_flags.SOLVENT_BULK_VASP_FLAGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SOLVENT_BULK_VASP_FLAGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.oc.utils.vasp_flags.RELAX_FLAGS" title="data.oc.utils.vasp_flags.RELAX_FLAGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RELAX_FLAGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.oc.utils.vasp_flags.MD_FLAGS" title="data.oc.utils.vasp_flags.MD_FLAGS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MD_FLAGS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.utils.vasp_flags.VASP_FLAGS">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp_flags.</span></span><span class="sig-name descname"><span class="pre">VASP_FLAGS</span></span><a class="headerlink" href="#data.oc.utils.vasp_flags.VASP_FLAGS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.utils.vasp_flags.BULK_VASP_FLAGS">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp_flags.</span></span><span class="sig-name descname"><span class="pre">BULK_VASP_FLAGS</span></span><a class="headerlink" href="#data.oc.utils.vasp_flags.BULK_VASP_FLAGS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.utils.vasp_flags.SOLVENT_BASE_FLAGS">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp_flags.</span></span><span class="sig-name descname"><span class="pre">SOLVENT_BASE_FLAGS</span></span><a class="headerlink" href="#data.oc.utils.vasp_flags.SOLVENT_BASE_FLAGS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.utils.vasp_flags.SOLVENT_BULK_VASP_FLAGS">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp_flags.</span></span><span class="sig-name descname"><span class="pre">SOLVENT_BULK_VASP_FLAGS</span></span><a class="headerlink" href="#data.oc.utils.vasp_flags.SOLVENT_BULK_VASP_FLAGS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.utils.vasp_flags.RELAX_FLAGS">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp_flags.</span></span><span class="sig-name descname"><span class="pre">RELAX_FLAGS</span></span><a class="headerlink" href="#data.oc.utils.vasp_flags.RELAX_FLAGS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.oc.utils.vasp_flags.MD_FLAGS">
+<span class="sig-prename descclassname"><span class="pre">data.oc.utils.vasp_flags.</span></span><span class="sig-name descname"><span class="pre">MD_FLAGS</span></span><a class="headerlink" href="#data.oc.utils.vasp_flags.MD_FLAGS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.VASP_FLAGS"><code class="docutils literal notranslate"><span class="pre">VASP_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.BULK_VASP_FLAGS"><code class="docutils literal notranslate"><span class="pre">BULK_VASP_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.SOLVENT_BASE_FLAGS"><code class="docutils literal notranslate"><span class="pre">SOLVENT_BASE_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.SOLVENT_BULK_VASP_FLAGS"><code class="docutils literal notranslate"><span class="pre">SOLVENT_BULK_VASP_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.RELAX_FLAGS"><code class="docutils literal notranslate"><span class="pre">RELAX_FLAGS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.oc.utils.vasp_flags.MD_FLAGS"><code class="docutils literal notranslate"><span class="pre">MD_FLAGS</span></code></a></li>
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+    <h1>data.odac.force_field.FF_analysis</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_data"><code class="docutils literal notranslate"><span class="pre">get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.binned_average"><code class="docutils literal notranslate"><span class="pre">binned_average()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.bin_plot"><code class="docutils literal notranslate"><span class="pre">bin_plot()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_Fig4a"><code class="docutils literal notranslate"><span class="pre">get_Fig4a()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_Fig4b"><code class="docutils literal notranslate"><span class="pre">get_Fig4b()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_Fig4c"><code class="docutils literal notranslate"><span class="pre">get_Fig4c()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_Fig4d"><code class="docutils literal notranslate"><span class="pre">get_Fig4d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.phys_err"><code class="docutils literal notranslate"><span class="pre">phys_err()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.chem_err"><code class="docutils literal notranslate"><span class="pre">chem_err()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.infile"><code class="docutils literal notranslate"><span class="pre">infile</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.odac.force_field.FF_analysis">
+<span id="data-odac-force-field-ff-analysis"></span><h1>data.odac.force_field.FF_analysis<a class="headerlink" href="#module-data.odac.force_field.FF_analysis" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.infile" title="data.odac.force_field.FF_analysis.infile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">infile</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.get_data" title="data.odac.force_field.FF_analysis.get_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data</span></code></a>(infile[, limit])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.binned_average" title="data.odac.force_field.FF_analysis.binned_average"><code class="xref py py-obj docutils literal notranslate"><span class="pre">binned_average</span></code></a>(DFT_ads, pred_err, bins)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.bin_plot" title="data.odac.force_field.FF_analysis.bin_plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bin_plot</span></code></a>(ax, bins, heights, **kwargs)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.get_Fig4a" title="data.odac.force_field.FF_analysis.get_Fig4a"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_Fig4a</span></code></a>(raw_error_CO2, raw_error_H2O[, b, outfile])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.get_Fig4b" title="data.odac.force_field.FF_analysis.get_Fig4b"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_Fig4b</span></code></a>(int_DFT_CO2, err_CO2, int_DFT_H2O, err_H2O)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.get_Fig4c" title="data.odac.force_field.FF_analysis.get_Fig4c"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_Fig4c</span></code></a>(DFT_CO2, err_CO2[, outfile])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.get_Fig4d" title="data.odac.force_field.FF_analysis.get_Fig4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_Fig4d</span></code></a>(DFT_H2O, err_H2O[, outfile])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.phys_err" title="data.odac.force_field.FF_analysis.phys_err"><code class="xref py py-obj docutils literal notranslate"><span class="pre">phys_err</span></code></a>(DFT, FF)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.force_field.FF_analysis.chem_err" title="data.odac.force_field.FF_analysis.chem_err"><code class="xref py py-obj docutils literal notranslate"><span class="pre">chem_err</span></code></a>(DFT, FF)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.get_data">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">infile</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.force_field.FF_analysis.get_data" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.binned_average">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">binned_average</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">DFT_ads</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pred_err</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.force_field.FF_analysis.binned_average" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.bin_plot">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">bin_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">heights</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.force_field.FF_analysis.bin_plot" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.get_Fig4a">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">get_Fig4a</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_error_CO2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_error_H2O</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Fig5a.png'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.force_field.FF_analysis.get_Fig4a" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.get_Fig4b">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">get_Fig4b</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">int_DFT_CO2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">err_CO2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int_DFT_H2O</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">err_H2O</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Fig5b.png'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.force_field.FF_analysis.get_Fig4b" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.get_Fig4c">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">get_Fig4c</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">DFT_CO2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">err_CO2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Fig5c.png'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.force_field.FF_analysis.get_Fig4c" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.get_Fig4d">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">get_Fig4d</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">DFT_H2O</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">err_H2O</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Fig5d.png'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.force_field.FF_analysis.get_Fig4d" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.phys_err">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">phys_err</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">DFT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FF</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.force_field.FF_analysis.phys_err" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.chem_err">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">chem_err</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">DFT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FF</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.force_field.FF_analysis.chem_err" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.force_field.FF_analysis.infile">
+<span class="sig-prename descclassname"><span class="pre">data.odac.force_field.FF_analysis.</span></span><span class="sig-name descname"><span class="pre">infile</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'/storage/home/hcoda1/8/lbrabson3/p-amedford6-0/s2ef/final/data_w_oms.json'</span></em><a class="headerlink" href="#data.odac.force_field.FF_analysis.infile" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_data"><code class="docutils literal notranslate"><span class="pre">get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.binned_average"><code class="docutils literal notranslate"><span class="pre">binned_average()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.bin_plot"><code class="docutils literal notranslate"><span class="pre">bin_plot()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_Fig4a"><code class="docutils literal notranslate"><span class="pre">get_Fig4a()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_Fig4b"><code class="docutils literal notranslate"><span class="pre">get_Fig4b()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_Fig4c"><code class="docutils literal notranslate"><span class="pre">get_Fig4c()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.get_Fig4d"><code class="docutils literal notranslate"><span class="pre">get_Fig4d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.phys_err"><code class="docutils literal notranslate"><span class="pre">phys_err()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.chem_err"><code class="docutils literal notranslate"><span class="pre">chem_err()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.force_field.FF_analysis.infile"><code class="docutils literal notranslate"><span class="pre">infile</span></code></a></li>
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+    <h1>data.odac.promising_mof.promising_mof_energies.energy</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.raw_ads_energy_data"><code class="docutils literal notranslate"><span class="pre">raw_ads_energy_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data"><code class="docutils literal notranslate"><span class="pre">complete_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.temp_split_string"><code class="docutils literal notranslate"><span class="pre">temp_split_string</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">complete_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine_co2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_h2o"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine_h2o</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine_co_ads</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads_2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine_co_ads_2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective_co2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_h2o"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective_h2o</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective_co_ads</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads_2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective_co_ads_2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_h2o</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id4"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads_2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id5"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.adsorption_data"><code class="docutils literal notranslate"><span class="pre">adsorption_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.count"><code class="docutils literal notranslate"><span class="pre">count</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2_defective"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co2_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id6"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o_defective"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_h2o_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id7"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_defective"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id8"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2_defective"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads_2_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id9"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.adsorption_data_defective"><code class="docutils literal notranslate"><span class="pre">adsorption_data_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.unique_combinations_count"><code class="docutils literal notranslate"><span class="pre">unique_combinations_count</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.def_counts_df"><code class="docutils literal notranslate"><span class="pre">def_counts_df</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.mof_name"><code class="docutils literal notranslate"><span class="pre">mof_name</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC"><code class="docutils literal notranslate"><span class="pre">missing_DDEC</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_pristine"><code class="docutils literal notranslate"><span class="pre">missing_DDEC_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_defective"><code class="docutils literal notranslate"><span class="pre">missing_DDEC_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_pristine"><code class="docutils literal notranslate"><span class="pre">index_drop_ddec_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id10"><code class="docutils literal notranslate"><span class="pre">adsorption_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_defective"><code class="docutils literal notranslate"><span class="pre">index_drop_ddec_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id11"><code class="docutils literal notranslate"><span class="pre">adsorption_data_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id12"><code class="docutils literal notranslate"><span class="pre">adsorption_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id13"><code class="docutils literal notranslate"><span class="pre">adsorption_data_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.promising_pristine"><code class="docutils literal notranslate"><span class="pre">promising_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.promising_defective"><code class="docutils literal notranslate"><span class="pre">promising_defective</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-data.odac.promising_mof.promising_mof_energies.energy">
+<span id="data-odac-promising-mof-promising-mof-energies-energy"></span><h1>data.odac.promising_mof.promising_mof_energies.energy<a class="headerlink" href="#module-data.odac.promising_mof.promising_mof_energies.energy" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.raw_ads_energy_data" title="data.odac.promising_mof.promising_mof_energies.energy.raw_ads_energy_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">raw_ads_energy_data</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id0" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.temp_split_string" title="data.odac.promising_mof.promising_mof_energies.energy.temp_split_string"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temp_split_string</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id0" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#id1" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_pristine</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id1" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_pristine</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#id2" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id2" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co2" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_pristine_co2</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_h2o" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_h2o"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_pristine_h2o</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_pristine_co_ads</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads_2" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads_2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_pristine_co_ads_2</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co2" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_defective_co2</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_h2o" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_h2o"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_defective_h2o</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_defective_co_ads</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads_2" title="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads_2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">complete_data_merged_defective_co_ads_2</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2" title="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowest_energy_data_co2</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id9" title="data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_entry</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o" title="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowest_energy_data_h2o</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id9" title="data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_entry</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads" title="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id9" title="data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_entry</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2" title="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads_2</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id9" title="data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_entry</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#id12" title="data.odac.promising_mof.promising_mof_energies.energy.adsorption_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">adsorption_data</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.count" title="data.odac.promising_mof.promising_mof_energies.energy.count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">count</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2_defective" title="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowest_energy_data_co2_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id9" title="data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_entry</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o_defective" title="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowest_energy_data_h2o_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id9" title="data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_entry</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_defective" title="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id9" title="data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_entry</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2_defective" title="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads_2_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id9" title="data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_entry</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#id13" title="data.odac.promising_mof.promising_mof_energies.energy.adsorption_data_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">adsorption_data_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.unique_combinations_count" title="data.odac.promising_mof.promising_mof_energies.energy.unique_combinations_count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unique_combinations_count</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.def_counts_df" title="data.odac.promising_mof.promising_mof_energies.energy.def_counts_df"><code class="xref py py-obj docutils literal notranslate"><span class="pre">def_counts_df</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.mof_name" title="data.odac.promising_mof.promising_mof_energies.energy.mof_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mof_name</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC" title="data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">missing_DDEC</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_pristine" title="data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_pristine"><code class="xref py py-obj docutils literal notranslate"><span class="pre">missing_DDEC_pristine</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_defective" title="data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">missing_DDEC_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_pristine" title="data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_pristine"><code class="xref py py-obj docutils literal notranslate"><span class="pre">index_drop_ddec_pristine</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#id12" title="data.odac.promising_mof.promising_mof_energies.energy.adsorption_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">adsorption_data</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_defective" title="data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">index_drop_ddec_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#id13" title="data.odac.promising_mof.promising_mof_energies.energy.adsorption_data_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">adsorption_data_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#id12" title="data.odac.promising_mof.promising_mof_energies.energy.adsorption_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">adsorption_data</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#id13" title="data.odac.promising_mof.promising_mof_energies.energy.adsorption_data_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">adsorption_data_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.promising_pristine" title="data.odac.promising_mof.promising_mof_energies.energy.promising_pristine"><code class="xref py py-obj docutils literal notranslate"><span class="pre">promising_pristine</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.promising_mof.promising_mof_energies.energy.promising_defective" title="data.odac.promising_mof.promising_mof_energies.energy.promising_defective"><code class="xref py py-obj docutils literal notranslate"><span class="pre">promising_defective</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.raw_ads_energy_data">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">raw_ads_energy_data</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.raw_ads_energy_data" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.temp_split_string">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">temp_split_string</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.temp_split_string" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id0">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data</span></span><a class="headerlink" href="#id0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_pristine</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id1">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_pristine</span></span><a class="headerlink" href="#id1" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_defective</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id2">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_defective</span></span><a class="headerlink" href="#id2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co2">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_pristine_co2</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_h2o">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_pristine_h2o</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_h2o" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_pristine_co_ads</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads_2">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_pristine_co_ads_2</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co2">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_defective_co2</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_h2o">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_defective_h2o</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_h2o" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_defective_co_ads</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads_2">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">complete_data_merged_defective_co_ads_2</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">lowest_energy_data_co2</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.current_entry">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">current_entry</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.current_entry" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">lowest_energy_data_h2o</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id3">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">current_entry</span></span><a class="headerlink" href="#id3" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">lowest_energy_data_co_ads</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id4">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">current_entry</span></span><a class="headerlink" href="#id4" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">lowest_energy_data_co_ads_2</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id5">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">current_entry</span></span><a class="headerlink" href="#id5" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.adsorption_data">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">adsorption_data</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.adsorption_data" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.count">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">count</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.count" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2_defective">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">lowest_energy_data_co2_defective</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2_defective" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id6">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">current_entry</span></span><a class="headerlink" href="#id6" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o_defective">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">lowest_energy_data_h2o_defective</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o_defective" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id7">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">current_entry</span></span><a class="headerlink" href="#id7" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_defective">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">lowest_energy_data_co_ads_defective</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_defective" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id8">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">current_entry</span></span><a class="headerlink" href="#id8" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2_defective">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">lowest_energy_data_co_ads_2_defective</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2_defective" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id9">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">current_entry</span></span><a class="headerlink" href="#id9" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.adsorption_data_defective">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">adsorption_data_defective</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.adsorption_data_defective" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.unique_combinations_count">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">unique_combinations_count</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.unique_combinations_count" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.def_counts_df">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">def_counts_df</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.def_counts_df" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.mof_name">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">mof_name</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.mof_name" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">missing_DDEC</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_pristine">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">missing_DDEC_pristine</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_pristine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_defective">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">missing_DDEC_defective</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_defective" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_pristine">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">index_drop_ddec_pristine</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_pristine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id10">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">adsorption_data</span></span><a class="headerlink" href="#id10" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_defective">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">index_drop_ddec_defective</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[]</span></em><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_defective" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id11">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">adsorption_data_defective</span></span><a class="headerlink" href="#id11" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id12">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">adsorption_data</span></span><a class="headerlink" href="#id12" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="id13">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">adsorption_data_defective</span></span><a class="headerlink" href="#id13" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.promising_pristine">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">promising_pristine</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.promising_pristine" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.promising_mof.promising_mof_energies.energy.promising_defective">
+<span class="sig-prename descclassname"><span class="pre">data.odac.promising_mof.promising_mof_energies.energy.</span></span><span class="sig-name descname"><span class="pre">promising_defective</span></span><a class="headerlink" href="#data.odac.promising_mof.promising_mof_energies.energy.promising_defective" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/data/odac/promising_mof/promising_mof_energies/energy"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
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+
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.raw_ads_energy_data"><code class="docutils literal notranslate"><span class="pre">raw_ads_energy_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data"><code class="docutils literal notranslate"><span class="pre">complete_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.temp_split_string"><code class="docutils literal notranslate"><span class="pre">temp_split_string</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">complete_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine_co2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_h2o"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine_h2o</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine_co_ads</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads_2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_pristine_co_ads_2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective_co2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_h2o"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective_h2o</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective_co_ads</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads_2"><code class="docutils literal notranslate"><span class="pre">complete_data_merged_defective_co_ads_2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.current_entry"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_h2o</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id4"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads_2</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id5"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.adsorption_data"><code class="docutils literal notranslate"><span class="pre">adsorption_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.count"><code class="docutils literal notranslate"><span class="pre">count</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2_defective"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co2_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id6"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o_defective"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_h2o_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id7"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_defective"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id8"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2_defective"><code class="docutils literal notranslate"><span class="pre">lowest_energy_data_co_ads_2_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id9"><code class="docutils literal notranslate"><span class="pre">current_entry</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.adsorption_data_defective"><code class="docutils literal notranslate"><span class="pre">adsorption_data_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.unique_combinations_count"><code class="docutils literal notranslate"><span class="pre">unique_combinations_count</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.def_counts_df"><code class="docutils literal notranslate"><span class="pre">def_counts_df</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.mof_name"><code class="docutils literal notranslate"><span class="pre">mof_name</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC"><code class="docutils literal notranslate"><span class="pre">missing_DDEC</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_pristine"><code class="docutils literal notranslate"><span class="pre">missing_DDEC_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_defective"><code class="docutils literal notranslate"><span class="pre">missing_DDEC_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_pristine"><code class="docutils literal notranslate"><span class="pre">index_drop_ddec_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id10"><code class="docutils literal notranslate"><span class="pre">adsorption_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_defective"><code class="docutils literal notranslate"><span class="pre">index_drop_ddec_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id11"><code class="docutils literal notranslate"><span class="pre">adsorption_data_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id12"><code class="docutils literal notranslate"><span class="pre">adsorption_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id13"><code class="docutils literal notranslate"><span class="pre">adsorption_data_defective</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.promising_pristine"><code class="docutils literal notranslate"><span class="pre">promising_pristine</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.promising_mof.promising_mof_energies.energy.promising_defective"><code class="docutils literal notranslate"><span class="pre">promising_defective</span></code></a></li>
+</ul>
+</li>
+</ul>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.setup_vasp.setup_vasp_calc_mof"><code class="docutils literal notranslate"><span class="pre">setup_vasp_calc_mof()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.setup_vasp.setup_vasp_mof_and_ads"><code class="docutils literal notranslate"><span class="pre">setup_vasp_mof_and_ads()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.setup_vasp.mof"><code class="docutils literal notranslate"><span class="pre">mof</span></code></a></li>
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+  <section id="module-data.odac.setup_vasp">
+<span id="data-odac-setup-vasp"></span><h1>data.odac.setup_vasp<a class="headerlink" href="#module-data.odac.setup_vasp" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.setup_vasp.mof" title="data.odac.setup_vasp.mof"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mof</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.odac.setup_vasp.setup_vasp_calc_mof" title="data.odac.setup_vasp.setup_vasp_calc_mof"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setup_vasp_calc_mof</span></code></a>(atoms, path)</p></td>
+<td><p>Create a VASP calculator for MOF relaxation and write VASP input files to path.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.odac.setup_vasp.setup_vasp_mof_and_ads" title="data.odac.setup_vasp.setup_vasp_mof_and_ads"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setup_vasp_mof_and_ads</span></code></a>(atoms, path)</p></td>
+<td><p>Create a VASP calculator for MOF + Adsorbate(s) relaxation and write VASP input files to path.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.setup_vasp.setup_vasp_calc_mof">
+<span class="sig-prename descclassname"><span class="pre">data.odac.setup_vasp.</span></span><span class="sig-name descname"><span class="pre">setup_vasp_calc_mof</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.setup_vasp.setup_vasp_calc_mof" title="Link to this definition">#</a></dt>
+<dd><p>Create a VASP calculator for MOF relaxation and write VASP input files to path.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.odac.setup_vasp.setup_vasp_mof_and_ads">
+<span class="sig-prename descclassname"><span class="pre">data.odac.setup_vasp.</span></span><span class="sig-name descname"><span class="pre">setup_vasp_mof_and_ads</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ase.Atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.odac.setup_vasp.setup_vasp_mof_and_ads" title="Link to this definition">#</a></dt>
+<dd><p>Create a VASP calculator for MOF + Adsorbate(s) relaxation and write VASP input files to path.
+For these relaxations, the MOF has already been pre-relaxed.</p>
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.odac.setup_vasp.mof">
+<span class="sig-prename descclassname"><span class="pre">data.odac.setup_vasp.</span></span><span class="sig-name descname"><span class="pre">mof</span></span><a class="headerlink" href="#data.odac.setup_vasp.mof" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.setup_vasp.setup_vasp_calc_mof"><code class="docutils literal notranslate"><span class="pre">setup_vasp_calc_mof()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.odac.setup_vasp.mof"><code class="docutils literal notranslate"><span class="pre">mof</span></code></a></li>
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+    <!-- Table of contents -->
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+            
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.biomolecules.geom.sample_geom_drugs.write_pickle"><code class="docutils literal notranslate"><span class="pre">write_pickle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.biomolecules.geom.sample_geom_drugs.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.biomolecules.geom.sample_geom_drugs.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+  <section id="module-data.om.biomolecules.geom.sample_geom_drugs">
+<span id="data-om-biomolecules-geom-sample-geom-drugs"></span><h1>data.om.biomolecules.geom.sample_geom_drugs<a class="headerlink" href="#module-data.om.biomolecules.geom.sample_geom_drugs" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.om.biomolecules.geom.sample_geom_drugs.write_pickle" title="data.om.biomolecules.geom.sample_geom_drugs.write_pickle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_pickle</span></code></a>(data, path)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.om.biomolecules.geom.sample_geom_drugs.parse_args" title="data.om.biomolecules.geom.sample_geom_drugs.parse_args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_args</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.om.biomolecules.geom.sample_geom_drugs.main" title="data.om.biomolecules.geom.sample_geom_drugs.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.om.biomolecules.geom.sample_geom_drugs.write_pickle">
+<span class="sig-prename descclassname"><span class="pre">data.om.biomolecules.geom.sample_geom_drugs.</span></span><span class="sig-name descname"><span class="pre">write_pickle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">path</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.om.biomolecules.geom.sample_geom_drugs.write_pickle" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.om.biomolecules.geom.sample_geom_drugs.parse_args">
+<span class="sig-prename descclassname"><span class="pre">data.om.biomolecules.geom.sample_geom_drugs.</span></span><span class="sig-name descname"><span class="pre">parse_args</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.om.biomolecules.geom.sample_geom_drugs.parse_args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.om.biomolecules.geom.sample_geom_drugs.main">
+<span class="sig-prename descclassname"><span class="pre">data.om.biomolecules.geom.sample_geom_drugs.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.om.biomolecules.geom.sample_geom_drugs.main" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.biomolecules.geom.sample_geom_drugs.write_pickle"><code class="docutils literal notranslate"><span class="pre">write_pickle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.biomolecules.geom.sample_geom_drugs.parse_args"><code class="docutils literal notranslate"><span class="pre">parse_args()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.biomolecules.geom.sample_geom_drugs.main"><code class="docutils literal notranslate"><span class="pre">main()</span></code></a></li>
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+<span id="data-om-biomolecules-geom-write-geom-drugs-structures"></span><h1>data.om.biomolecules.geom.write_geom_drugs_structures<a class="headerlink" href="#module-data.om.biomolecules.geom.write_geom_drugs_structures" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="#data.om.biomolecules.geom.write_geom_drugs_structures.parse_args" title="data.om.biomolecules.geom.write_geom_drugs_structures.parse_args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_args</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.om.biomolecules.geom.write_geom_drugs_structures.main" title="data.om.biomolecules.geom.write_geom_drugs_structures.main"><code class="xref py py-obj docutils literal notranslate"><span class="pre">main</span></code></a>()</p></td>
+<td><p></p></td>
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+<dl class="py function">
+<dt class="sig sig-object py" id="data.om.biomolecules.geom.write_geom_drugs_structures.parse_args">
+<span class="sig-prename descclassname"><span class="pre">data.om.biomolecules.geom.write_geom_drugs_structures.</span></span><span class="sig-name descname"><span class="pre">parse_args</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.om.biomolecules.geom.write_geom_drugs_structures.parse_args" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
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+<dt class="sig sig-object py" id="data.om.biomolecules.geom.write_geom_drugs_structures.main">
+<span class="sig-prename descclassname"><span class="pre">data.om.biomolecules.geom.write_geom_drugs_structures.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#data.om.biomolecules.geom.write_geom_drugs_structures.main" title="Link to this definition">#</a></dt>
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+            
+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_FUNCTIONAL"><code class="docutils literal notranslate"><span class="pre">ORCA_FUNCTIONAL</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_BASIS"><code class="docutils literal notranslate"><span class="pre">ORCA_BASIS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_SIMPLE_INPUT"><code class="docutils literal notranslate"><span class="pre">ORCA_SIMPLE_INPUT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_BLOCKS"><code class="docutils literal notranslate"><span class="pre">ORCA_BLOCKS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_ASE_SIMPLE_INPUT"><code class="docutils literal notranslate"><span class="pre">ORCA_ASE_SIMPLE_INPUT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.OPT_PARAMETERS"><code class="docutils literal notranslate"><span class="pre">OPT_PARAMETERS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.write_orca_inputs"><code class="docutils literal notranslate"><span class="pre">write_orca_inputs()</span></code></a></li>
+</ul>
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+                  
+  <section id="module-data.om.omdata.orca.calc">
+<span id="data-om-omdata-orca-calc"></span><h1>data.om.omdata.orca.calc<a class="headerlink" href="#module-data.om.omdata.orca.calc" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.om.omdata.orca.calc.ORCA_FUNCTIONAL" title="data.om.omdata.orca.calc.ORCA_FUNCTIONAL"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ORCA_FUNCTIONAL</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.om.omdata.orca.calc.ORCA_BASIS" title="data.om.omdata.orca.calc.ORCA_BASIS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ORCA_BASIS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.om.omdata.orca.calc.ORCA_SIMPLE_INPUT" title="data.om.omdata.orca.calc.ORCA_SIMPLE_INPUT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ORCA_SIMPLE_INPUT</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.om.omdata.orca.calc.ORCA_BLOCKS" title="data.om.omdata.orca.calc.ORCA_BLOCKS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ORCA_BLOCKS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.om.omdata.orca.calc.ORCA_ASE_SIMPLE_INPUT" title="data.om.omdata.orca.calc.ORCA_ASE_SIMPLE_INPUT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ORCA_ASE_SIMPLE_INPUT</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.om.omdata.orca.calc.OPT_PARAMETERS" title="data.om.omdata.orca.calc.OPT_PARAMETERS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OPT_PARAMETERS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.om.omdata.orca.calc.write_orca_inputs" title="data.om.omdata.orca.calc.write_orca_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_orca_inputs</span></code></a>(atoms, output_directory[, charge, ...])</p></td>
+<td><p>One-off method to be used if you wanted to write inputs for an arbitrary</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="data.om.omdata.orca.calc.ORCA_FUNCTIONAL">
+<span class="sig-prename descclassname"><span class="pre">data.om.omdata.orca.calc.</span></span><span class="sig-name descname"><span class="pre">ORCA_FUNCTIONAL</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'wB97M-V'</span></em><a class="headerlink" href="#data.om.omdata.orca.calc.ORCA_FUNCTIONAL" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.om.omdata.orca.calc.ORCA_BASIS">
+<span class="sig-prename descclassname"><span class="pre">data.om.omdata.orca.calc.</span></span><span class="sig-name descname"><span class="pre">ORCA_BASIS</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'def2-TZVPD'</span></em><a class="headerlink" href="#data.om.omdata.orca.calc.ORCA_BASIS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.om.omdata.orca.calc.ORCA_SIMPLE_INPUT">
+<span class="sig-prename descclassname"><span class="pre">data.om.omdata.orca.calc.</span></span><span class="sig-name descname"><span class="pre">ORCA_SIMPLE_INPUT</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">['EnGrad',</span> <span class="pre">'RIJCOSX',</span> <span class="pre">'def2/J',</span> <span class="pre">'NoUseSym',</span> <span class="pre">'DIIS',</span> <span class="pre">'NOSOSCF',</span> <span class="pre">'NormalConv',</span> <span class="pre">'DEFGRID3',</span> <span class="pre">'ALLPOP',</span> <span class="pre">'NBO']</span></em><a class="headerlink" href="#data.om.omdata.orca.calc.ORCA_SIMPLE_INPUT" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.om.omdata.orca.calc.ORCA_BLOCKS">
+<span class="sig-prename descclassname"><span class="pre">data.om.omdata.orca.calc.</span></span><span class="sig-name descname"><span class="pre">ORCA_BLOCKS</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">['%scf</span> <span class="pre">Convergence</span> <span class="pre">Tight</span> <span class="pre">maxiter</span> <span class="pre">300</span> <span class="pre">end',</span> <span class="pre">'%elprop</span> <span class="pre">Dipole</span> <span class="pre">true</span> <span class="pre">Quadrupole</span> <span class="pre">true</span> <span class="pre">end',</span> <span class="pre">'%nbo...</span></em><a class="headerlink" href="#data.om.omdata.orca.calc.ORCA_BLOCKS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.om.omdata.orca.calc.ORCA_ASE_SIMPLE_INPUT">
+<span class="sig-prename descclassname"><span class="pre">data.om.omdata.orca.calc.</span></span><span class="sig-name descname"><span class="pre">ORCA_ASE_SIMPLE_INPUT</span></span><a class="headerlink" href="#data.om.omdata.orca.calc.ORCA_ASE_SIMPLE_INPUT" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="data.om.omdata.orca.calc.OPT_PARAMETERS">
+<span class="sig-prename descclassname"><span class="pre">data.om.omdata.orca.calc.</span></span><span class="sig-name descname"><span class="pre">OPT_PARAMETERS</span></span><a class="headerlink" href="#data.om.omdata.orca.calc.OPT_PARAMETERS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.om.omdata.orca.calc.write_orca_inputs">
+<span class="sig-prename descclassname"><span class="pre">data.om.omdata.orca.calc.</span></span><span class="sig-name descname"><span class="pre">write_orca_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_directory</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">charge</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mult</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">orcasimpleinput</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">ORCA_ASE_SIMPLE_INPUT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">orcablocks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'.join(ORCA_BLOCKS)</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.om.omdata.orca.calc.write_orca_inputs" title="Link to this definition">#</a></dt>
+<dd><p>One-off method to be used if you wanted to write inputs for an arbitrary
+system. Primarily used for debugging.</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_FUNCTIONAL"><code class="docutils literal notranslate"><span class="pre">ORCA_FUNCTIONAL</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_BASIS"><code class="docutils literal notranslate"><span class="pre">ORCA_BASIS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_SIMPLE_INPUT"><code class="docutils literal notranslate"><span class="pre">ORCA_SIMPLE_INPUT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_BLOCKS"><code class="docutils literal notranslate"><span class="pre">ORCA_BLOCKS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.ORCA_ASE_SIMPLE_INPUT"><code class="docutils literal notranslate"><span class="pre">ORCA_ASE_SIMPLE_INPUT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.OPT_PARAMETERS"><code class="docutils literal notranslate"><span class="pre">OPT_PARAMETERS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.calc.write_orca_inputs"><code class="docutils literal notranslate"><span class="pre">write_orca_inputs()</span></code></a></li>
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+    <h1>data.om.omdata.orca.recipes</h1>
+    <!-- Table of contents -->
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+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.recipes.single_point_calculation"><code class="docutils literal notranslate"><span class="pre">single_point_calculation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.recipes.ase_relaxation"><code class="docutils literal notranslate"><span class="pre">ase_relaxation()</span></code></a></li>
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+  <section id="module-data.om.omdata.orca.recipes">
+<span id="data-om-omdata-orca-recipes"></span><h1>data.om.omdata.orca.recipes<a class="headerlink" href="#module-data.om.omdata.orca.recipes" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#data.om.omdata.orca.recipes.single_point_calculation" title="data.om.omdata.orca.recipes.single_point_calculation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">single_point_calculation</span></code></a>(atoms, charge, spin_multiplicity)</p></td>
+<td><p>Wrapper around QUACC's static job to standardize single-point calculations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#data.om.omdata.orca.recipes.ase_relaxation" title="data.om.omdata.orca.recipes.ase_relaxation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ase_relaxation</span></code></a>(atoms, charge, spin_multiplicity[, xc, ...])</p></td>
+<td><p>Wrapper around QUACC's ase_relax_job to standardize geometry optimizations.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="data.om.omdata.orca.recipes.single_point_calculation">
+<span class="sig-prename descclassname"><span class="pre">data.om.omdata.orca.recipes.</span></span><span class="sig-name descname"><span class="pre">single_point_calculation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">charge</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spin_multiplicity</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">xc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">ORCA_FUNCTIONAL</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">ORCA_BASIS</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">orcasimpleinput</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">orcablocks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nprocs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outputdir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">os.getcwd()</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.om.omdata.orca.recipes.single_point_calculation" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper around QUACC’s static job to standardize single-point calculations.
+See github.com/Quantum-Accelerators/quacc/blob/main/src/quacc/recipes/orca/core.py#L22
+for more details.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms</strong> (<a class="reference internal" href="../../../../../ocpapi/client/index.html#ocpapi.client.Atoms" title="ocpapi.client.Atoms"><em>Atoms</em></a>) – Atoms object</p></li>
+<li><p><strong>charge</strong> (<em>int</em>) – Charge of system</p></li>
+<li><p><strong>spin_multiplicity</strong> (<em>int</em>) – Multiplicity of the system</p></li>
+<li><p><strong>xc</strong> (<em>str</em>) – Exchange-correlaction functional</p></li>
+<li><p><strong>basis</strong> (<em>str</em>) – Basis set</p></li>
+<li><p><strong>orcasimpleinput</strong> (<em>list</em>) – List of <cite>orcasimpleinput</cite> settings for the calculator</p></li>
+<li><p><strong>orcablocks</strong> (<em>list</em>) – List of <cite>orcablocks</cite> swaps for the calculator</p></li>
+<li><p><strong>nprocs</strong> (<em>int</em>) – Number of processes to parallelize across</p></li>
+<li><p><strong>outputdir</strong> (<em>str</em>) – Directory to move results to upon completion</p></li>
+<li><p><strong>calc_kwargs</strong> – Additional kwargs for the custom Orca calculator</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="data.om.omdata.orca.recipes.ase_relaxation">
+<span class="sig-prename descclassname"><span class="pre">data.om.omdata.orca.recipes.</span></span><span class="sig-name descname"><span class="pre">ase_relaxation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">atoms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">charge</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spin_multiplicity</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">xc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">ORCA_FUNCTIONAL</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">ORCA_BASIS</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">orcasimpleinput</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">orcablocks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nprocs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opt_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outputdir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">os.getcwd()</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#data.om.omdata.orca.recipes.ase_relaxation" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper around QUACC’s ase_relax_job to standardize geometry optimizations.
+See github.com/Quantum-Accelerators/quacc/blob/main/src/quacc/recipes/orca/core.py#L22
+for more details.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>atoms</strong> (<a class="reference internal" href="../../../../../ocpapi/client/index.html#ocpapi.client.Atoms" title="ocpapi.client.Atoms"><em>Atoms</em></a>) – Atoms object</p></li>
+<li><p><strong>charge</strong> (<em>int</em>) – Charge of system</p></li>
+<li><p><strong>spin_multiplicity</strong> (<em>int</em>) – Multiplicity of the system</p></li>
+<li><p><strong>xc</strong> (<em>str</em>) – Exchange-correlaction functional</p></li>
+<li><p><strong>basis</strong> (<em>str</em>) – Basis set</p></li>
+<li><p><strong>orcasimpleinput</strong> (<em>list</em>) – List of <cite>orcasimpleinput</cite> settings for the calculator</p></li>
+<li><p><strong>orcablocks</strong> (<em>list</em>) – List of <cite>orcablocks</cite> swaps for the calculator</p></li>
+<li><p><strong>nprocs</strong> (<em>int</em>) – Number of processes to parallelize across</p></li>
+<li><p><strong>opt_params</strong> (<em>dict</em>) – Dictionary of optimizer parameters</p></li>
+<li><p><strong>outputdir</strong> (<em>str</em>) – Directory to move results to upon completion</p></li>
+<li><p><strong>calc_kwargs</strong> – Additional kwargs for the custom Orca calculator</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.recipes.single_point_calculation"><code class="docutils literal notranslate"><span class="pre">single_point_calculation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data.om.omdata.orca.recipes.ase_relaxation"><code class="docutils literal notranslate"><span class="pre">ase_relaxation()</span></code></a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../workflows/log/index.html">ocpapi.workflows.log</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../workflows/retry/index.html">ocpapi.workflows.retry</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../../../cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../../cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toctree-l4"><a class="reference internal" href="../../../cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
+</ul>
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+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../../../../execution_time.html">Notebook execution times</a></li>
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+</div>
+</div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>ocpapi.client.client</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.RequestException"><code class="docutils literal notranslate"><span class="pre">RequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.NonRetryableRequestException"><code class="docutils literal notranslate"><span class="pre">NonRetryableRequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.RateLimitExceededException"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.RateLimitExceededException.retry_after"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client"><code class="docutils literal notranslate"><span class="pre">Client</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client._host"><code class="docutils literal notranslate"><span class="pre">Client._host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client._base_url"><code class="docutils literal notranslate"><span class="pre">Client._base_url</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.host"><code class="docutils literal notranslate"><span class="pre">Client.host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_models"><code class="docutils literal notranslate"><span class="pre">Client.get_models()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_bulks"><code class="docutils literal notranslate"><span class="pre">Client.get_bulks()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_adsorbates"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_slabs"><code class="docutils literal notranslate"><span class="pre">Client.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_adsorbate_slab_configs"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_configs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.submit_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.submit_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_adsorbate_slab_relaxations_request"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_request()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_adsorbate_slab_relaxations_results"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_results()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.delete_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.delete_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client._run_request"><code class="docutils literal notranslate"><span class="pre">Client._run_request()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-ocpapi.client.client">
+<span id="ocpapi-client-client"></span><h1>ocpapi.client.client<a class="headerlink" href="#module-ocpapi.client.client" title="Link to this heading">#</a></h1>
+<section id="exceptions">
+<h2>Exceptions<a class="headerlink" href="#exceptions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RequestException</span></code></a></p></td>
+<td><p>Exception raised any time there is an error while making an API call.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NonRetryableRequestException</span></code></a></p></td>
+<td><p>Exception raised when an API call is rejected for a reason that will</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RateLimitExceededException</span></code></a></p></td>
+<td><p>Exception raised when an API call is rejected because a rate limit has</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.client.Client" title="ocpapi.client.client.Client"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Client</span></code></a></p></td>
+<td><p>Exposes each route in the OCP API as a method.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.client.client.RequestException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.client.</span></span><span class="sig-name descname"><span class="pre">RequestException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cause</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.client.RequestException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">Exception</span></code></p>
+<p>Exception raised any time there is an error while making an API call.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.client.client.NonRetryableRequestException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.client.</span></span><span class="sig-name descname"><span class="pre">NonRetryableRequestException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cause</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.client.NonRetryableRequestException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RequestException</span></code></a></p>
+<p>Exception raised when an API call is rejected for a reason that will
+not succeed on retry. For example, this might include a malformed request
+or action that is not allowed.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.client.client.RateLimitExceededException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.client.</span></span><span class="sig-name descname"><span class="pre">RateLimitExceededException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry_after</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datetime.timedelta</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.client.RateLimitExceededException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RequestException</span></code></a></p>
+<p>Exception raised when an API call is rejected because a rate limit has
+been exceeded.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.client.RateLimitExceededException.retry_after">
+<span class="sig-name descname"><span class="pre">retry_after</span></span><a class="headerlink" href="#ocpapi.client.client.RateLimitExceededException.retry_after" title="Link to this definition">#</a></dt>
+<dd><p>If known, the time to wait before the next attempt to
+call the API should be made.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id0">
+<span class="sig-name descname"><span class="pre">retry_after</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">datetime.timedelta</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#id0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.client.</span></span><span class="sig-name descname"><span class="pre">Client</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">host</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'open-catalyst-api.metademolab.com'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scheme</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'https'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.client.Client" title="Link to this definition">#</a></dt>
+<dd><p>Exposes each route in the OCP API as a method.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client._host">
+<span class="sig-name descname"><span class="pre">_host</span></span><a class="headerlink" href="#ocpapi.client.client.Client._host" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client._base_url">
+<span class="sig-name descname"><span class="pre">_base_url</span></span><a class="headerlink" href="#ocpapi.client.client.Client._base_url" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.host">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">host</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.client.Client.host" title="Link to this definition">#</a></dt>
+<dd><p>The host being called by this client.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.get_models">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_models</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../models/index.html#ocpapi.client.models.Models" title="ocpapi.client.models.Models"><span class="pre">ocpapi.client.models.Models</span></a></span></span><a class="headerlink" href="#ocpapi.client.client.Client.get_models" title="Link to this definition">#</a></dt>
+<dd><p>Fetch the list of models that are supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The models that are supported in the API.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.get_bulks">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_bulks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../models/index.html#ocpapi.client.models.Bulks" title="ocpapi.client.models.Bulks"><span class="pre">ocpapi.client.models.Bulks</span></a></span></span><a class="headerlink" href="#ocpapi.client.client.Client.get_bulks" title="Link to this definition">#</a></dt>
+<dd><p>Fetch the list of bulk materials that are supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The bulks that are supported throughout the API.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.get_adsorbates">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbates</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../models/index.html#ocpapi.client.models.Adsorbates" title="ocpapi.client.models.Adsorbates"><span class="pre">ocpapi.client.models.Adsorbates</span></a></span></span><a class="headerlink" href="#ocpapi.client.client.Client.get_adsorbates" title="Link to this definition">#</a></dt>
+<dd><p>Fetch the list of adsorbates that are supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The adsorbates that are supported throughout the API.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.get_slabs">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="../models/index.html#ocpapi.client.models.Bulk" title="ocpapi.client.models.Bulk"><span class="pre">ocpapi.client.models.Bulk</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../models/index.html#ocpapi.client.models.Slabs" title="ocpapi.client.models.Slabs"><span class="pre">ocpapi.client.models.Slabs</span></a></span></span><a class="headerlink" href="#ocpapi.client.client.Client.get_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Get a unique list of slabs for the input bulk structure.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bulk</strong> – If a string, the id of the bulk to use. Otherwise the Bulk
+instance to use.</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Slabs for each of the unique surfaces of the material.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.get_adsorbate_slab_configs">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbate_slab_configs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../models/index.html#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><span class="pre">ocpapi.client.models.Slab</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../models/index.html#ocpapi.client.models.AdsorbateSlabConfigs" title="ocpapi.client.models.AdsorbateSlabConfigs"><span class="pre">ocpapi.client.models.AdsorbateSlabConfigs</span></a></span></span><a class="headerlink" href="#ocpapi.client.client.Client.get_adsorbate_slab_configs" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of possible binding sites for the input adsorbate on the
+input slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate</strong> – Description of the the adsorbate to place.</p></li>
+<li><p><strong>slab</strong> – Information about the slab on which the adsorbate should
+be placed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Configurations for each adsorbate binding site on the slab.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.submit_adsorbate_slab_relaxations">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">submit_adsorbate_slab_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_configs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="../models/index.html#ocpapi.client.models.Atoms" title="ocpapi.client.models.Atoms"><span class="pre">ocpapi.client.models.Atoms</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../models/index.html#ocpapi.client.models.Bulk" title="ocpapi.client.models.Bulk"><span class="pre">ocpapi.client.models.Bulk</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../models/index.html#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><span class="pre">ocpapi.client.models.Slab</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ephemeral</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsSystem" title="ocpapi.client.models.AdsorbateSlabRelaxationsSystem"><span class="pre">ocpapi.client.models.AdsorbateSlabRelaxationsSystem</span></a></span></span><a class="headerlink" href="#ocpapi.client.client.Client.submit_adsorbate_slab_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Starts relaxations of the input adsorbate configurations on the input
+slab using energies and forces returned by the input model. Relaxations
+are run asynchronously and results can be fetched using the system id
+that is returned from this method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate</strong> – Description of the adsorbate being simulated.</p></li>
+<li><p><strong>adsorbate_configs</strong> – List of adsorbate configurations to relax. This
+should only include the adsorbates themselves; the surface is
+defined in the “slab” field that is a peer to this one.</p></li>
+<li><p><strong>bulk</strong> – Details of the bulk material being simulated.</p></li>
+<li><p><strong>slab</strong> – The structure of the slab on which adsorbates are placed.</p></li>
+<li><p><strong>model</strong> – The model that will be used to evaluate energies and forces
+during relaxations.</p></li>
+<li><p><strong>ephemeral</strong> – If False (default), any later attempt to delete the
+generated relaxations will be rejected. If True, deleting the
+relaxations will be allowed, which is generally useful for
+testing when there is no reason for results to be persisted.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>IDs of the relaxations.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.get_adsorbate_slab_relaxations_request">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbate_slab_relaxations_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest" title="ocpapi.client.models.AdsorbateSlabRelaxationsRequest"><span class="pre">ocpapi.client.models.AdsorbateSlabRelaxationsRequest</span></a></span></span><a class="headerlink" href="#ocpapi.client.client.Client.get_adsorbate_slab_relaxations_request" title="Link to this definition">#</a></dt>
+<dd><p>Fetches the original relaxations request for the input system.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>system_id</strong> – The ID of the system to fetch.</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The original request that was made when submitting relaxations.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.get_adsorbate_slab_relaxations_results">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbate_slab_relaxations_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config_ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsResults" title="ocpapi.client.models.AdsorbateSlabRelaxationsResults"><span class="pre">ocpapi.client.models.AdsorbateSlabRelaxationsResults</span></a></span></span><a class="headerlink" href="#ocpapi.client.client.Client.get_adsorbate_slab_relaxations_results" title="Link to this definition">#</a></dt>
+<dd><p>Fetches relaxation results for the input system.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>system_id</strong> – The system id of the relaxations.</p></li>
+<li><p><strong>config_ids</strong> – If defined and not empty, a subset of configurations
+to fetch. Otherwise all configurations are returned.</p></li>
+<li><p><strong>fields</strong> – If defined and not empty, a subset of fields in each
+configuration to fetch. Otherwise all fields are returned.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The relaxation results for each configuration in the system.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client.delete_adsorbate_slab_relaxations">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">delete_adsorbate_slab_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.client.client.Client.delete_adsorbate_slab_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Deletes all relaxation results for the input system.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>system_id</strong> – The ID of the system to delete.</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.client.Client._run_request">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_run_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#ocpapi.client.client.Client._run_request" title="Link to this definition">#</a></dt>
+<dd><p>Helper method that runs the input request on a thread so that
+it doesn’t block the event loop on the calling thread.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>path</strong> – The URL path to make the request against.</p></li>
+<li><p><strong>method</strong> – The HTTP method to use (GET, POST, etc.).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.client.RateLimitExceededException" title="ocpapi.client.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.NonRetryableRequestException" title="ocpapi.client.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.client.RequestException" title="ocpapi.client.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The response body from the request as a string.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.RequestException"><code class="docutils literal notranslate"><span class="pre">RequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.NonRetryableRequestException"><code class="docutils literal notranslate"><span class="pre">NonRetryableRequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.RateLimitExceededException"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.RateLimitExceededException.retry_after"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client"><code class="docutils literal notranslate"><span class="pre">Client</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client._host"><code class="docutils literal notranslate"><span class="pre">Client._host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client._base_url"><code class="docutils literal notranslate"><span class="pre">Client._base_url</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.host"><code class="docutils literal notranslate"><span class="pre">Client.host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_models"><code class="docutils literal notranslate"><span class="pre">Client.get_models()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_bulks"><code class="docutils literal notranslate"><span class="pre">Client.get_bulks()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_adsorbates"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_slabs"><code class="docutils literal notranslate"><span class="pre">Client.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_adsorbate_slab_configs"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_configs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.submit_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.submit_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_adsorbate_slab_relaxations_request"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_request()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.get_adsorbate_slab_relaxations_results"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_results()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client.delete_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.delete_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.client.Client._run_request"><code class="docutils literal notranslate"><span class="pre">Client._run_request()</span></code></a></li>
+</ul>
+</li>
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+</ul>
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+  <i class="fas fa-expand"></i>
+  </span>
+
+</button>
+
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+
+<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button pst-js-only" aria-label="Color mode" data-bs-title="Color mode"  data-bs-placement="bottom" data-bs-toggle="tooltip">
+  <i class="theme-switch fa-solid fa-sun                fa-lg" data-mode="light" title="Light"></i>
+  <i class="theme-switch fa-solid fa-moon               fa-lg" data-mode="dark"  title="Dark"></i>
+  <i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"  title="System Settings"></i>
+</button>
+
+
+<button class="btn btn-sm pst-navbar-icon search-button search-button__button pst-js-only" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
+</button>
+<button class="sidebar-toggle secondary-toggle btn btn-sm" title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="fa-solid fa-list"></span>
+</button>
+</div></div>
+      
+    </div>
+  
+</div>
+</div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>ocpapi.client</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client"><code class="docutils literal notranslate"><span class="pre">Client</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client._host"><code class="docutils literal notranslate"><span class="pre">Client._host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client._base_url"><code class="docutils literal notranslate"><span class="pre">Client._base_url</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.host"><code class="docutils literal notranslate"><span class="pre">Client.host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_models"><code class="docutils literal notranslate"><span class="pre">Client.get_models()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_bulks"><code class="docutils literal notranslate"><span class="pre">Client.get_bulks()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_adsorbates"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_slabs"><code class="docutils literal notranslate"><span class="pre">Client.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_adsorbate_slab_configs"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_configs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.submit_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.submit_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_adsorbate_slab_relaxations_request"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_request()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_adsorbate_slab_relaxations_results"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_results()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.delete_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.delete_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client._run_request"><code class="docutils literal notranslate"><span class="pre">Client._run_request()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.NonRetryableRequestException"><code class="docutils literal notranslate"><span class="pre">NonRetryableRequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.RateLimitExceededException"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.RateLimitExceededException.retry_after"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.RequestException"><code class="docutils literal notranslate"><span class="pre">RequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Adsorbates"><code class="docutils literal notranslate"><span class="pre">Adsorbates</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Adsorbates.adsorbates_supported"><code class="docutils literal notranslate"><span class="pre">Adsorbates.adsorbates_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabConfigs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabConfigs.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabConfigs.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.slab</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.config_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.config_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.status"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.status</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.cell"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.pbc"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.numbers"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.positions"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.tags"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.energy"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.energy_trajectory"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy_trajectory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.forces"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.ephemeral"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.ephemeral</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_reaction"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_reaction</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsResults"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsResults.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsResults.omitted_config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.omitted_config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem.config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms"><code class="docutils literal notranslate"><span class="pre">Atoms</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.cell"><code class="docutils literal notranslate"><span class="pre">Atoms.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.pbc"><code class="docutils literal notranslate"><span class="pre">Atoms.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.numbers"><code class="docutils literal notranslate"><span class="pre">Atoms.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.positions"><code class="docutils literal notranslate"><span class="pre">Atoms.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.tags"><code class="docutils literal notranslate"><span class="pre">Atoms.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">Atoms.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulk.src_id"><code class="docutils literal notranslate"><span class="pre">Bulk.src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulk.formula"><code class="docutils literal notranslate"><span class="pre">Bulk.formula</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulk.elements"><code class="docutils literal notranslate"><span class="pre">Bulk.elements</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulks"><code class="docutils literal notranslate"><span class="pre">Bulks</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulks.bulks_supported"><code class="docutils literal notranslate"><span class="pre">Bulks.bulks_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Model"><code class="docutils literal notranslate"><span class="pre">Model</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Model.id"><code class="docutils literal notranslate"><span class="pre">Model.id</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Models"><code class="docutils literal notranslate"><span class="pre">Models</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Models.models"><code class="docutils literal notranslate"><span class="pre">Models.models</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slab.metadata"><code class="docutils literal notranslate"><span class="pre">Slab.metadata</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata"><code class="docutils literal notranslate"><span class="pre">SlabMetadata</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata.bulk_src_id"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.bulk_src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata.millers"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata.shift"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata.top"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.top</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slabs"><code class="docutils literal notranslate"><span class="pre">Slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slabs.slabs"><code class="docutils literal notranslate"><span class="pre">Slabs.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status"><code class="docutils literal notranslate"><span class="pre">Status</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.NOT_AVAILABLE"><code class="docutils literal notranslate"><span class="pre">Status.NOT_AVAILABLE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.FAILED_RELAXATION"><code class="docutils literal notranslate"><span class="pre">Status.FAILED_RELAXATION</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.SUCCESS"><code class="docutils literal notranslate"><span class="pre">Status.SUCCESS</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.DOES_NOT_EXIST"><code class="docutils literal notranslate"><span class="pre">Status.DOES_NOT_EXIST</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.__str__"><code class="docutils literal notranslate"><span class="pre">Status.__str__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.get_results_ui_url"><code class="docutils literal notranslate"><span class="pre">get_results_ui_url()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-ocpapi.client">
+<span id="ocpapi-client"></span><h1>ocpapi.client<a class="headerlink" href="#module-ocpapi.client" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="client/index.html">ocpapi.client.client</a></li>
+<li class="toctree-l1"><a class="reference internal" href="models/index.html">ocpapi.client.models</a></li>
+<li class="toctree-l1"><a class="reference internal" href="ui/index.html">ocpapi.client.ui</a></li>
+</ul>
+</div>
+</section>
+<section id="exceptions">
+<h2>Exceptions<a class="headerlink" href="#exceptions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NonRetryableRequestException</span></code></a></p></td>
+<td><p>Exception raised when an API call is rejected for a reason that will</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RateLimitExceededException</span></code></a></p></td>
+<td><p>Exception raised when an API call is rejected because a rate limit has</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RequestException</span></code></a></p></td>
+<td><p>Exception raised any time there is an error while making an API call.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.Client" title="ocpapi.client.Client"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Client</span></code></a></p></td>
+<td><p>Exposes each route in the OCP API as a method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.Adsorbates" title="ocpapi.client.Adsorbates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Adsorbates</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch adsorbates supported in the</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.AdsorbateSlabConfigs" title="ocpapi.client.AdsorbateSlabConfigs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch placements of a single</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.AdsorbateSlabRelaxationResult" title="ocpapi.client.AdsorbateSlabRelaxationResult"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult</span></code></a></p></td>
+<td><p>Stores information about a single adsorbate slab configuration, including</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest" title="ocpapi.client.AdsorbateSlabRelaxationsRequest"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest</span></code></a></p></td>
+<td><p>Stores the request to submit a new batch of adsorbate slab relaxations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.AdsorbateSlabRelaxationsResults" title="ocpapi.client.AdsorbateSlabRelaxationsResults"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults</span></code></a></p></td>
+<td><p>Stores the response from a request for results of adsorbate slab</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem" title="ocpapi.client.AdsorbateSlabRelaxationsSystem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem</span></code></a></p></td>
+<td><p>Stores the response from a request to submit a new batch of adsorbate</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.Atoms" title="ocpapi.client.Atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Atoms</span></code></a></p></td>
+<td><p>Subset of the fields from an ASE Atoms object that are used within this</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.Bulk" title="ocpapi.client.Bulk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bulk</span></code></a></p></td>
+<td><p>Stores information about a single bulk material.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.Bulks" title="ocpapi.client.Bulks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bulks</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch bulks supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.Model" title="ocpapi.client.Model"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Model</span></code></a></p></td>
+<td><p>Stores information about a single model supported in the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.Models" title="ocpapi.client.Models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Models</span></code></a></p></td>
+<td><p>Stores the response from a request for models supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.Slab" title="ocpapi.client.Slab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Slab</span></code></a></p></td>
+<td><p>Stores all information about a slab that is returned from the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.SlabMetadata" title="ocpapi.client.SlabMetadata"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SlabMetadata</span></code></a></p></td>
+<td><p>Stores metadata about a slab that is returned from the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.Slabs" title="ocpapi.client.Slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Slabs</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch slabs for a bulk structure.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.Status" title="ocpapi.client.Status"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Status</span></code></a></p></td>
+<td><p>Relaxation status of a single adsorbate placement on a slab.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.get_results_ui_url" title="ocpapi.client.get_results_ui_url"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_results_ui_url</span></code></a>(→ str | None)</p></td>
+<td><p>Generates the URL at which results for the input system can be</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Client">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Client</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">host</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'open-catalyst-api.metademolab.com'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scheme</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'https'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.Client" title="Link to this definition">#</a></dt>
+<dd><p>Exposes each route in the OCP API as a method.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Client._host">
+<span class="sig-name descname"><span class="pre">_host</span></span><a class="headerlink" href="#ocpapi.client.Client._host" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Client._base_url">
+<span class="sig-name descname"><span class="pre">_base_url</span></span><a class="headerlink" href="#ocpapi.client.Client._base_url" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="ocpapi.client.Client.host">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">host</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.Client.host" title="Link to this definition">#</a></dt>
+<dd><p>The host being called by this client.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client.get_models">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_models</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="models/index.html#ocpapi.client.models.Models" title="ocpapi.client.models.Models"><span class="pre">ocpapi.client.models.Models</span></a></span></span><a class="headerlink" href="#ocpapi.client.Client.get_models" title="Link to this definition">#</a></dt>
+<dd><p>Fetch the list of models that are supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The models that are supported in the API.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client.get_bulks">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_bulks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="models/index.html#ocpapi.client.models.Bulks" title="ocpapi.client.models.Bulks"><span class="pre">ocpapi.client.models.Bulks</span></a></span></span><a class="headerlink" href="#ocpapi.client.Client.get_bulks" title="Link to this definition">#</a></dt>
+<dd><p>Fetch the list of bulk materials that are supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The bulks that are supported throughout the API.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client.get_adsorbates">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbates</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="models/index.html#ocpapi.client.models.Adsorbates" title="ocpapi.client.models.Adsorbates"><span class="pre">ocpapi.client.models.Adsorbates</span></a></span></span><a class="headerlink" href="#ocpapi.client.Client.get_adsorbates" title="Link to this definition">#</a></dt>
+<dd><p>Fetch the list of adsorbates that are supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The adsorbates that are supported throughout the API.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client.get_slabs">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="models/index.html#ocpapi.client.models.Bulk" title="ocpapi.client.models.Bulk"><span class="pre">ocpapi.client.models.Bulk</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="models/index.html#ocpapi.client.models.Slabs" title="ocpapi.client.models.Slabs"><span class="pre">ocpapi.client.models.Slabs</span></a></span></span><a class="headerlink" href="#ocpapi.client.Client.get_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Get a unique list of slabs for the input bulk structure.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bulk</strong> – If a string, the id of the bulk to use. Otherwise the Bulk
+instance to use.</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Slabs for each of the unique surfaces of the material.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client.get_adsorbate_slab_configs">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbate_slab_configs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="models/index.html#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><span class="pre">ocpapi.client.models.Slab</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="models/index.html#ocpapi.client.models.AdsorbateSlabConfigs" title="ocpapi.client.models.AdsorbateSlabConfigs"><span class="pre">ocpapi.client.models.AdsorbateSlabConfigs</span></a></span></span><a class="headerlink" href="#ocpapi.client.Client.get_adsorbate_slab_configs" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of possible binding sites for the input adsorbate on the
+input slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate</strong> – Description of the the adsorbate to place.</p></li>
+<li><p><strong>slab</strong> – Information about the slab on which the adsorbate should
+be placed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Configurations for each adsorbate binding site on the slab.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client.submit_adsorbate_slab_relaxations">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">submit_adsorbate_slab_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_configs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="models/index.html#ocpapi.client.models.Atoms" title="ocpapi.client.models.Atoms"><span class="pre">ocpapi.client.models.Atoms</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="models/index.html#ocpapi.client.models.Bulk" title="ocpapi.client.models.Bulk"><span class="pre">ocpapi.client.models.Bulk</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="models/index.html#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><span class="pre">ocpapi.client.models.Slab</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ephemeral</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsSystem" title="ocpapi.client.models.AdsorbateSlabRelaxationsSystem"><span class="pre">ocpapi.client.models.AdsorbateSlabRelaxationsSystem</span></a></span></span><a class="headerlink" href="#ocpapi.client.Client.submit_adsorbate_slab_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Starts relaxations of the input adsorbate configurations on the input
+slab using energies and forces returned by the input model. Relaxations
+are run asynchronously and results can be fetched using the system id
+that is returned from this method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate</strong> – Description of the adsorbate being simulated.</p></li>
+<li><p><strong>adsorbate_configs</strong> – List of adsorbate configurations to relax. This
+should only include the adsorbates themselves; the surface is
+defined in the “slab” field that is a peer to this one.</p></li>
+<li><p><strong>bulk</strong> – Details of the bulk material being simulated.</p></li>
+<li><p><strong>slab</strong> – The structure of the slab on which adsorbates are placed.</p></li>
+<li><p><strong>model</strong> – The model that will be used to evaluate energies and forces
+during relaxations.</p></li>
+<li><p><strong>ephemeral</strong> – If False (default), any later attempt to delete the
+generated relaxations will be rejected. If True, deleting the
+relaxations will be allowed, which is generally useful for
+testing when there is no reason for results to be persisted.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>IDs of the relaxations.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client.get_adsorbate_slab_relaxations_request">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbate_slab_relaxations_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest" title="ocpapi.client.models.AdsorbateSlabRelaxationsRequest"><span class="pre">ocpapi.client.models.AdsorbateSlabRelaxationsRequest</span></a></span></span><a class="headerlink" href="#ocpapi.client.Client.get_adsorbate_slab_relaxations_request" title="Link to this definition">#</a></dt>
+<dd><p>Fetches the original relaxations request for the input system.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>system_id</strong> – The ID of the system to fetch.</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The original request that was made when submitting relaxations.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client.get_adsorbate_slab_relaxations_results">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbate_slab_relaxations_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config_ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsResults" title="ocpapi.client.models.AdsorbateSlabRelaxationsResults"><span class="pre">ocpapi.client.models.AdsorbateSlabRelaxationsResults</span></a></span></span><a class="headerlink" href="#ocpapi.client.Client.get_adsorbate_slab_relaxations_results" title="Link to this definition">#</a></dt>
+<dd><p>Fetches relaxation results for the input system.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>system_id</strong> – The system id of the relaxations.</p></li>
+<li><p><strong>config_ids</strong> – If defined and not empty, a subset of configurations
+to fetch. Otherwise all configurations are returned.</p></li>
+<li><p><strong>fields</strong> – If defined and not empty, a subset of fields in each
+configuration to fetch. Otherwise all fields are returned.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The relaxation results for each configuration in the system.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client.delete_adsorbate_slab_relaxations">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">delete_adsorbate_slab_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.client.Client.delete_adsorbate_slab_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Deletes all relaxation results for the input system.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>system_id</strong> – The ID of the system to delete.</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Client._run_request">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_run_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#ocpapi.client.Client._run_request" title="Link to this definition">#</a></dt>
+<dd><p>Helper method that runs the input request on a thread so that
+it doesn’t block the event loop on the calling thread.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>path</strong> – The URL path to make the request against.</p></li>
+<li><p><strong>method</strong> – The HTTP method to use (GET, POST, etc.).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.client.RateLimitExceededException" title="ocpapi.client.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.NonRetryableRequestException" title="ocpapi.client.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The response body from the request as a string.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.client.NonRetryableRequestException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">NonRetryableRequestException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cause</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.NonRetryableRequestException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RequestException</span></code></a></p>
+<p>Exception raised when an API call is rejected for a reason that will
+not succeed on retry. For example, this might include a malformed request
+or action that is not allowed.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.client.RateLimitExceededException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">RateLimitExceededException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry_after</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datetime.timedelta</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.RateLimitExceededException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.RequestException" title="ocpapi.client.RequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RequestException</span></code></a></p>
+<p>Exception raised when an API call is rejected because a rate limit has
+been exceeded.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.RateLimitExceededException.retry_after">
+<span class="sig-name descname"><span class="pre">retry_after</span></span><a class="headerlink" href="#ocpapi.client.RateLimitExceededException.retry_after" title="Link to this definition">#</a></dt>
+<dd><p>If known, the time to wait before the next attempt to
+call the API should be made.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id0">
+<span class="sig-name descname"><span class="pre">retry_after</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">datetime.timedelta</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#id0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.client.RequestException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">RequestException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cause</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.RequestException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">Exception</span></code></p>
+<p>Exception raised any time there is an error while making an API call.</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Adsorbates">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Adsorbates</span></span><a class="headerlink" href="#ocpapi.client.Adsorbates" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to fetch adsorbates supported in the
+API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Adsorbates.adsorbates_supported">
+<span class="sig-name descname"><span class="pre">adsorbates_supported</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Adsorbates.adsorbates_supported" title="Link to this definition">#</a></dt>
+<dd><p>List of adsorbates that can be used in the API.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabConfigs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabConfigs</span></span><a class="headerlink" href="#ocpapi.client.AdsorbateSlabConfigs" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to fetch placements of a single
+absorbate on a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabConfigs.adsorbate_configs">
+<span class="sig-name descname"><span class="pre">adsorbate_configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.Atoms" title="ocpapi.client.Atoms"><span class="pre">Atoms</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabConfigs.adsorbate_configs" title="Link to this definition">#</a></dt>
+<dd><p>List of structures, each representing one possible adsorbate placement.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabConfigs.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.Slab" title="ocpapi.client.Slab"><span class="pre">Slab</span></a></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabConfigs.slab" title="Link to this definition">#</a></dt>
+<dd><p>The structure of the slab on which the adsorbate is placed.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationResult</span></span><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores information about a single adsorbate slab configuration, including
+outputs for the model used in relaxations.</p>
+<p>The API to fetch relaxation results supports requesting a subset of fields
+in order to limit the size of response payloads. Optional attributes will
+be defined only if they are including the response.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.config_id">
+<span class="sig-name descname"><span class="pre">config_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.config_id" title="Link to this definition">#</a></dt>
+<dd><p>ID of the configuration within the system.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.status">
+<span class="sig-name descname"><span class="pre">status</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.Status" title="ocpapi.client.Status"><span class="pre">Status</span></a></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.status" title="Link to this definition">#</a></dt>
+<dd><p>The status of the request for information about this configuration.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.system_id">
+<span class="sig-name descname"><span class="pre">system_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.system_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the system in which the configuration was originally submitted.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.cell">
+<span class="sig-name descname"><span class="pre">cell</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.cell" title="Link to this definition">#</a></dt>
+<dd><p>3x3 matrix with unit cell vectors.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.pbc">
+<span class="sig-name descname"><span class="pre">pbc</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.pbc" title="Link to this definition">#</a></dt>
+<dd><p>Whether the structure is periodic along the a, b, and c lattice vectors,
+respectively.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.numbers">
+<span class="sig-name descname"><span class="pre">numbers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.numbers" title="Link to this definition">#</a></dt>
+<dd><p>The atomic number of each atom in the unit cell.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.positions">
+<span class="sig-name descname"><span class="pre">positions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.positions" title="Link to this definition">#</a></dt>
+<dd><p>The coordinates of each atom in the unit cell, relative to the cartesian
+frame.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.tags">
+<span class="sig-name descname"><span class="pre">tags</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.tags" title="Link to this definition">#</a></dt>
+<dd><p>Labels for each atom in the unit cell where 0 represents a subsurface atom
+(fixed during optimization), 1 represents a surface atom, and 2 represents
+an adsorbate atom.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.energy">
+<span class="sig-name descname"><span class="pre">energy</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.energy" title="Link to this definition">#</a></dt>
+<dd><p>The energy of the configuration.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.energy_trajectory">
+<span class="sig-name descname"><span class="pre">energy_trajectory</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.energy_trajectory" title="Link to this definition">#</a></dt>
+<dd><p>The energy of the configuration at each point along the relaxation
+trajectory.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.forces">
+<span class="sig-name descname"><span class="pre">forces</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.forces" title="Link to this definition">#</a></dt>
+<dd><p>The forces on each atom in the relaxed structure.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationResult.to_ase_atoms">
+<span class="sig-name descname"><span class="pre">to_ase_atoms</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationResult.to_ase_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Creates an ase.Atoms object with the positions, element numbers,
+etc. populated from values on this object.</p>
+<p>The predicted energy and forces will also be copied to the new
+ase.Atoms object as a SinglePointCalculator (a calculator that
+stores the results of an already-run simulation).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms object with values from this object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsRequest">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationsRequest</span></span><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the request to submit a new batch of adsorbate slab relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate">
+<span class="sig-name descname"><span class="pre">adsorbate</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Description of the adsorbate.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_configs">
+<span class="sig-name descname"><span class="pre">adsorbate_configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.Atoms" title="ocpapi.client.Atoms"><span class="pre">Atoms</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_configs" title="Link to this definition">#</a></dt>
+<dd><p>List of adsorbate placements being relaxed.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsRequest.bulk">
+<span class="sig-name descname"><span class="pre">bulk</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.Bulk" title="ocpapi.client.Bulk"><span class="pre">Bulk</span></a></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.bulk" title="Link to this definition">#</a></dt>
+<dd><p>Information about the original bulk structure used to create the slab.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsRequest.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.Slab" title="ocpapi.client.Slab"><span class="pre">Slab</span></a></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.slab" title="Link to this definition">#</a></dt>
+<dd><p>The structure of the slab on which adsorbates are placed.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsRequest.model">
+<span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.model" title="Link to this definition">#</a></dt>
+<dd><p>The type of the ML model being used during relaxations.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsRequest.ephemeral">
+<span class="sig-name descname"><span class="pre">ephemeral</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.ephemeral" title="Link to this definition">#</a></dt>
+<dd><p>Whether the relaxations can be deleted (assume they cannot be deleted if
+None).</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_reaction">
+<span class="sig-name descname"><span class="pre">adsorbate_reaction</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_reaction" title="Link to this definition">#</a></dt>
+<dd><p>If possible, an html-formatted string describing the reaction will be added
+to this field.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsResults">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationsResults</span></span><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsResults" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request for results of adsorbate slab
+relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsResults.configs">
+<span class="sig-name descname"><span class="pre">configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.AdsorbateSlabRelaxationResult" title="ocpapi.client.AdsorbateSlabRelaxationResult"><span class="pre">AdsorbateSlabRelaxationResult</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsResults.configs" title="Link to this definition">#</a></dt>
+<dd><p>List of configurations in the system, each representing one placement of
+an adsorbate on a slab surface.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsResults.omitted_config_ids">
+<span class="sig-name descname"><span class="pre">omitted_config_ids</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsResults.omitted_config_ids" title="Link to this definition">#</a></dt>
+<dd><p>List of IDs of configurations that were requested but omitted by the
+server. Results for these IDs can be requested again.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsSystem">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationsSystem</span></span><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to submit a new batch of adsorbate
+slab relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsSystem.system_id">
+<span class="sig-name descname"><span class="pre">system_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem.system_id" title="Link to this definition">#</a></dt>
+<dd><p>Unique ID for this set of relaxations which can be used to fetch results
+later.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.AdsorbateSlabRelaxationsSystem.config_ids">
+<span class="sig-name descname"><span class="pre">config_ids</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem.config_ids" title="Link to this definition">#</a></dt>
+<dd><p>The list of IDs assigned to each of the input adsorbate placements, in the
+same order in which they were submitted.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Atoms">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Atoms</span></span><a class="headerlink" href="#ocpapi.client.Atoms" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Subset of the fields from an ASE Atoms object that are used within this
+API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Atoms.cell">
+<span class="sig-name descname"><span class="pre">cell</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Atoms.cell" title="Link to this definition">#</a></dt>
+<dd><p>3x3 matrix with unit cell vectors.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Atoms.pbc">
+<span class="sig-name descname"><span class="pre">pbc</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Atoms.pbc" title="Link to this definition">#</a></dt>
+<dd><p>Whether the structure is periodic along the a, b, and c lattice vectors,
+respectively.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Atoms.numbers">
+<span class="sig-name descname"><span class="pre">numbers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Atoms.numbers" title="Link to this definition">#</a></dt>
+<dd><p>The atomic number of each atom in the unit cell.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Atoms.positions">
+<span class="sig-name descname"><span class="pre">positions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Atoms.positions" title="Link to this definition">#</a></dt>
+<dd><p>The coordinates of each atom in the unit cell, relative to the cartesian
+frame.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Atoms.tags">
+<span class="sig-name descname"><span class="pre">tags</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Atoms.tags" title="Link to this definition">#</a></dt>
+<dd><p>Labels for each atom in the unit cell where 0 represents a subsurface atom
+(fixed during optimization), 1 represents a surface atom, and 2 represents
+an adsorbate atom.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Atoms.to_ase_atoms">
+<span class="sig-name descname"><span class="pre">to_ase_atoms</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#ocpapi.client.Atoms.to_ase_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Creates an ase.Atoms object with the positions, element numbers,
+etc. populated from values on this object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms object with values from this object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Bulk">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Bulk</span></span><a class="headerlink" href="#ocpapi.client.Bulk" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores information about a single bulk material.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Bulk.src_id">
+<span class="sig-name descname"><span class="pre">src_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.Bulk.src_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the material.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Bulk.formula">
+<span class="sig-name descname"><span class="pre">formula</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.Bulk.formula" title="Link to this definition">#</a></dt>
+<dd><p>The chemical formula of the material.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Bulk.elements">
+<span class="sig-name descname"><span class="pre">elements</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Bulk.elements" title="Link to this definition">#</a></dt>
+<dd><p>The list of elements in the material.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Bulks">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Bulks</span></span><a class="headerlink" href="#ocpapi.client.Bulks" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to fetch bulks supported in the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Bulks.bulks_supported">
+<span class="sig-name descname"><span class="pre">bulks_supported</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.Bulk" title="ocpapi.client.Bulk"><span class="pre">Bulk</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Bulks.bulks_supported" title="Link to this definition">#</a></dt>
+<dd><p>List of bulks that can be used in the API.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Model">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Model</span></span><a class="headerlink" href="#ocpapi.client.Model" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores information about a single model supported in the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Model.id">
+<span class="sig-name descname"><span class="pre">id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.Model.id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the model.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Models">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Models</span></span><a class="headerlink" href="#ocpapi.client.Models" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request for models supported in the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Models.models">
+<span class="sig-name descname"><span class="pre">models</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.Model" title="ocpapi.client.Model"><span class="pre">Model</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Models.models" title="Link to this definition">#</a></dt>
+<dd><p>The list of models that are supported.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Slab">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Slab</span></span><a class="headerlink" href="#ocpapi.client.Slab" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores all information about a slab that is returned from the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Slab.atoms">
+<span class="sig-name descname"><span class="pre">atoms</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.Atoms" title="ocpapi.client.Atoms"><span class="pre">Atoms</span></a></em><a class="headerlink" href="#ocpapi.client.Slab.atoms" title="Link to this definition">#</a></dt>
+<dd><p>The structure of the slab.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Slab.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.SlabMetadata" title="ocpapi.client.SlabMetadata"><span class="pre">SlabMetadata</span></a></em><a class="headerlink" href="#ocpapi.client.Slab.metadata" title="Link to this definition">#</a></dt>
+<dd><p>Extra information about the slab.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.SlabMetadata">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">SlabMetadata</span></span><a class="headerlink" href="#ocpapi.client.SlabMetadata" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores metadata about a slab that is returned from the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.SlabMetadata.bulk_src_id">
+<span class="sig-name descname"><span class="pre">bulk_src_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.SlabMetadata.bulk_src_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the bulk material from which the slab was derived.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.SlabMetadata.millers">
+<span class="sig-name descname"><span class="pre">millers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.SlabMetadata.millers" title="Link to this definition">#</a></dt>
+<dd><p>The Miller indices of the slab relative to bulk structure.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.SlabMetadata.shift">
+<span class="sig-name descname"><span class="pre">shift</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#ocpapi.client.SlabMetadata.shift" title="Link to this definition">#</a></dt>
+<dd><p>The position along the vector defined by the Miller indices at which a
+cut was taken to generate the slab surface.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.SlabMetadata.top">
+<span class="sig-name descname"><span class="pre">top</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><a class="headerlink" href="#ocpapi.client.SlabMetadata.top" title="Link to this definition">#</a></dt>
+<dd><p>If False, the top and bottom surfaces for this millers/shift pair are
+distinct and this slab represents the bottom surface.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Slabs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Slabs</span></span><a class="headerlink" href="#ocpapi.client.Slabs" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to fetch slabs for a bulk structure.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Slabs.slabs">
+<span class="sig-name descname"><span class="pre">slabs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.Slab" title="ocpapi.client.Slab"><span class="pre">Slab</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.Slabs.slabs" title="Link to this definition">#</a></dt>
+<dd><p>The list of slabs that were generated from the input bulk structure.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.Status">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">Status</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwds</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.Status" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">enum.Enum</span></code></p>
+<p>Relaxation status of a single adsorbate placement on a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Status.NOT_AVAILABLE">
+<span class="sig-name descname"><span class="pre">NOT_AVAILABLE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'not_available'</span></em><a class="headerlink" href="#ocpapi.client.Status.NOT_AVAILABLE" title="Link to this definition">#</a></dt>
+<dd><p>The configuration exists but the result is not yet available. It is
+possible that checking again in the future could yield a result.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Status.FAILED_RELAXATION">
+<span class="sig-name descname"><span class="pre">FAILED_RELAXATION</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'failed_relaxation'</span></em><a class="headerlink" href="#ocpapi.client.Status.FAILED_RELAXATION" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation failed for this configuration.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Status.SUCCESS">
+<span class="sig-name descname"><span class="pre">SUCCESS</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'success'</span></em><a class="headerlink" href="#ocpapi.client.Status.SUCCESS" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation was successful and the requested information about the
+configuration was returned.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.Status.DOES_NOT_EXIST">
+<span class="sig-name descname"><span class="pre">DOES_NOT_EXIST</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'does_not_exist'</span></em><a class="headerlink" href="#ocpapi.client.Status.DOES_NOT_EXIST" title="Link to this definition">#</a></dt>
+<dd><p>The requested configuration does not exist.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.Status.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#ocpapi.client.Status.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.client.get_results_ui_url">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.client.</span></span><span class="sig-name descname"><span class="pre">get_results_ui_url</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">api_host</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.client.get_results_ui_url" title="Link to this definition">#</a></dt>
+<dd><p>Generates the URL at which results for the input system can be
+visualized.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>api_host</strong> – The API host on which the system was run.</p></li>
+<li><p><strong>system_id</strong> – ID of the system being visualized.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The URL at which the input system can be visualized. None if the
+API host is not recognized.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/ocpapi/client"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client"><code class="docutils literal notranslate"><span class="pre">Client</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client._host"><code class="docutils literal notranslate"><span class="pre">Client._host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client._base_url"><code class="docutils literal notranslate"><span class="pre">Client._base_url</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.host"><code class="docutils literal notranslate"><span class="pre">Client.host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_models"><code class="docutils literal notranslate"><span class="pre">Client.get_models()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_bulks"><code class="docutils literal notranslate"><span class="pre">Client.get_bulks()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_adsorbates"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_slabs"><code class="docutils literal notranslate"><span class="pre">Client.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_adsorbate_slab_configs"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_configs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.submit_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.submit_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_adsorbate_slab_relaxations_request"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_request()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.get_adsorbate_slab_relaxations_results"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_results()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client.delete_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.delete_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Client._run_request"><code class="docutils literal notranslate"><span class="pre">Client._run_request()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.NonRetryableRequestException"><code class="docutils literal notranslate"><span class="pre">NonRetryableRequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.RateLimitExceededException"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.RateLimitExceededException.retry_after"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.RequestException"><code class="docutils literal notranslate"><span class="pre">RequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Adsorbates"><code class="docutils literal notranslate"><span class="pre">Adsorbates</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Adsorbates.adsorbates_supported"><code class="docutils literal notranslate"><span class="pre">Adsorbates.adsorbates_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabConfigs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabConfigs.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabConfigs.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.slab</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.config_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.config_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.status"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.status</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.cell"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.pbc"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.numbers"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.positions"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.tags"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.energy"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.energy_trajectory"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy_trajectory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.forces"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationResult.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.ephemeral"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.ephemeral</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_reaction"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_reaction</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsResults"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsResults.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsResults.omitted_config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.omitted_config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.AdsorbateSlabRelaxationsSystem.config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms"><code class="docutils literal notranslate"><span class="pre">Atoms</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.cell"><code class="docutils literal notranslate"><span class="pre">Atoms.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.pbc"><code class="docutils literal notranslate"><span class="pre">Atoms.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.numbers"><code class="docutils literal notranslate"><span class="pre">Atoms.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.positions"><code class="docutils literal notranslate"><span class="pre">Atoms.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.tags"><code class="docutils literal notranslate"><span class="pre">Atoms.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Atoms.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">Atoms.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulk.src_id"><code class="docutils literal notranslate"><span class="pre">Bulk.src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulk.formula"><code class="docutils literal notranslate"><span class="pre">Bulk.formula</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulk.elements"><code class="docutils literal notranslate"><span class="pre">Bulk.elements</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulks"><code class="docutils literal notranslate"><span class="pre">Bulks</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Bulks.bulks_supported"><code class="docutils literal notranslate"><span class="pre">Bulks.bulks_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Model"><code class="docutils literal notranslate"><span class="pre">Model</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Model.id"><code class="docutils literal notranslate"><span class="pre">Model.id</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Models"><code class="docutils literal notranslate"><span class="pre">Models</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Models.models"><code class="docutils literal notranslate"><span class="pre">Models.models</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slab.metadata"><code class="docutils literal notranslate"><span class="pre">Slab.metadata</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata"><code class="docutils literal notranslate"><span class="pre">SlabMetadata</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata.bulk_src_id"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.bulk_src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata.millers"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata.shift"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.SlabMetadata.top"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.top</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slabs"><code class="docutils literal notranslate"><span class="pre">Slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Slabs.slabs"><code class="docutils literal notranslate"><span class="pre">Slabs.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status"><code class="docutils literal notranslate"><span class="pre">Status</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.NOT_AVAILABLE"><code class="docutils literal notranslate"><span class="pre">Status.NOT_AVAILABLE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.FAILED_RELAXATION"><code class="docutils literal notranslate"><span class="pre">Status.FAILED_RELAXATION</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.SUCCESS"><code class="docutils literal notranslate"><span class="pre">Status.SUCCESS</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.DOES_NOT_EXIST"><code class="docutils literal notranslate"><span class="pre">Status.DOES_NOT_EXIST</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.Status.__str__"><code class="docutils literal notranslate"><span class="pre">Status.__str__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.get_results_ui_url"><code class="docutils literal notranslate"><span class="pre">get_results_ui_url()</span></code></a></li>
+</ul>
+</li>
+</ul>
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new file mode 100644
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@@ -0,0 +1,1477 @@
+
+<!DOCTYPE html>
+
+
+<html lang="en" data-content_root="../../../../" >
+
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>ocpapi.client.models</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models._DataModel"><code class="docutils literal notranslate"><span class="pre">_DataModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models._DataModel.other_fields"><code class="docutils literal notranslate"><span class="pre">_DataModel.other_fields</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Model"><code class="docutils literal notranslate"><span class="pre">Model</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Model.id"><code class="docutils literal notranslate"><span class="pre">Model.id</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Models"><code class="docutils literal notranslate"><span class="pre">Models</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Models.models"><code class="docutils literal notranslate"><span class="pre">Models.models</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulk.src_id"><code class="docutils literal notranslate"><span class="pre">Bulk.src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulk.formula"><code class="docutils literal notranslate"><span class="pre">Bulk.formula</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulk.elements"><code class="docutils literal notranslate"><span class="pre">Bulk.elements</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulks"><code class="docutils literal notranslate"><span class="pre">Bulks</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulks.bulks_supported"><code class="docutils literal notranslate"><span class="pre">Bulks.bulks_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Adsorbates"><code class="docutils literal notranslate"><span class="pre">Adsorbates</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Adsorbates.adsorbates_supported"><code class="docutils literal notranslate"><span class="pre">Adsorbates.adsorbates_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms"><code class="docutils literal notranslate"><span class="pre">Atoms</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.cell"><code class="docutils literal notranslate"><span class="pre">Atoms.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.pbc"><code class="docutils literal notranslate"><span class="pre">Atoms.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.numbers"><code class="docutils literal notranslate"><span class="pre">Atoms.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.positions"><code class="docutils literal notranslate"><span class="pre">Atoms.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.tags"><code class="docutils literal notranslate"><span class="pre">Atoms.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">Atoms.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata"><code class="docutils literal notranslate"><span class="pre">SlabMetadata</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata.bulk_src_id"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.bulk_src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata.millers"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata.shift"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata.top"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.top</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slab.metadata"><code class="docutils literal notranslate"><span class="pre">Slab.metadata</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slabs"><code class="docutils literal notranslate"><span class="pre">Slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slabs.slabs"><code class="docutils literal notranslate"><span class="pre">Slabs.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabConfigs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabConfigs.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabConfigs.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.slab</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem.config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.ephemeral"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.ephemeral</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_reaction"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_reaction</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status"><code class="docutils literal notranslate"><span class="pre">Status</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.NOT_AVAILABLE"><code class="docutils literal notranslate"><span class="pre">Status.NOT_AVAILABLE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.FAILED_RELAXATION"><code class="docutils literal notranslate"><span class="pre">Status.FAILED_RELAXATION</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.SUCCESS"><code class="docutils literal notranslate"><span class="pre">Status.SUCCESS</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.DOES_NOT_EXIST"><code class="docutils literal notranslate"><span class="pre">Status.DOES_NOT_EXIST</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.__str__"><code class="docutils literal notranslate"><span class="pre">Status.__str__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.config_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.config_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.status"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.status</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.cell"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.pbc"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.numbers"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.positions"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.tags"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.energy"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.energy_trajectory"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy_trajectory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.forces"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults.omitted_config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.omitted_config_ids</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-ocpapi.client.models">
+<span id="ocpapi-client-models"></span><h1>ocpapi.client.models<a class="headerlink" href="#module-ocpapi.client.models" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p></td>
+<td><p>Base class for all data models.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.models.Model" title="ocpapi.client.models.Model"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Model</span></code></a></p></td>
+<td><p>Stores information about a single model supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.models.Models" title="ocpapi.client.models.Models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Models</span></code></a></p></td>
+<td><p>Stores the response from a request for models supported in the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.models.Bulk" title="ocpapi.client.models.Bulk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bulk</span></code></a></p></td>
+<td><p>Stores information about a single bulk material.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.models.Bulks" title="ocpapi.client.models.Bulks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bulks</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch bulks supported in the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.models.Adsorbates" title="ocpapi.client.models.Adsorbates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Adsorbates</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch adsorbates supported in the</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.models.Atoms" title="ocpapi.client.models.Atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Atoms</span></code></a></p></td>
+<td><p>Subset of the fields from an ASE Atoms object that are used within this</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.models.SlabMetadata" title="ocpapi.client.models.SlabMetadata"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SlabMetadata</span></code></a></p></td>
+<td><p>Stores metadata about a slab that is returned from the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Slab</span></code></a></p></td>
+<td><p>Stores all information about a slab that is returned from the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.models.Slabs" title="ocpapi.client.models.Slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Slabs</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch slabs for a bulk structure.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.models.AdsorbateSlabConfigs" title="ocpapi.client.models.AdsorbateSlabConfigs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch placements of a single</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem" title="ocpapi.client.models.AdsorbateSlabRelaxationsSystem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem</span></code></a></p></td>
+<td><p>Stores the response from a request to submit a new batch of adsorbate</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest" title="ocpapi.client.models.AdsorbateSlabRelaxationsRequest"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest</span></code></a></p></td>
+<td><p>Stores the request to submit a new batch of adsorbate slab relaxations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.models.Status" title="ocpapi.client.models.Status"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Status</span></code></a></p></td>
+<td><p>Relaxation status of a single adsorbate placement on a slab.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult" title="ocpapi.client.models.AdsorbateSlabRelaxationResult"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult</span></code></a></p></td>
+<td><p>Stores information about a single adsorbate slab configuration, including</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults" title="ocpapi.client.models.AdsorbateSlabRelaxationsResults"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults</span></code></a></p></td>
+<td><p>Stores the response from a request for results of adsorbate slab</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models._DataModel">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">_DataModel</span></span><a class="headerlink" href="#ocpapi.client.models._DataModel" title="Link to this definition">#</a></dt>
+<dd><p>Base class for all data models.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models._DataModel.other_fields">
+<span class="sig-name descname"><span class="pre">other_fields</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">dataclasses_json.CatchAll</span></em><a class="headerlink" href="#ocpapi.client.models._DataModel.other_fields" title="Link to this definition">#</a></dt>
+<dd><p>Fields that may have been added to the API that all not yet supported
+explicitly in this class.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.Model">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">Model</span></span><a class="headerlink" href="#ocpapi.client.models.Model" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores information about a single model supported in the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Model.id">
+<span class="sig-name descname"><span class="pre">id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.models.Model.id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the model.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.Models">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">Models</span></span><a class="headerlink" href="#ocpapi.client.models.Models" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores the response from a request for models supported in the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Models.models">
+<span class="sig-name descname"><span class="pre">models</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.models.Model" title="ocpapi.client.models.Model"><span class="pre">Model</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Models.models" title="Link to this definition">#</a></dt>
+<dd><p>The list of models that are supported.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.Bulk">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">Bulk</span></span><a class="headerlink" href="#ocpapi.client.models.Bulk" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores information about a single bulk material.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Bulk.src_id">
+<span class="sig-name descname"><span class="pre">src_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.models.Bulk.src_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the material.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Bulk.formula">
+<span class="sig-name descname"><span class="pre">formula</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.models.Bulk.formula" title="Link to this definition">#</a></dt>
+<dd><p>The chemical formula of the material.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Bulk.elements">
+<span class="sig-name descname"><span class="pre">elements</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Bulk.elements" title="Link to this definition">#</a></dt>
+<dd><p>The list of elements in the material.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.Bulks">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">Bulks</span></span><a class="headerlink" href="#ocpapi.client.models.Bulks" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores the response from a request to fetch bulks supported in the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Bulks.bulks_supported">
+<span class="sig-name descname"><span class="pre">bulks_supported</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.models.Bulk" title="ocpapi.client.models.Bulk"><span class="pre">Bulk</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Bulks.bulks_supported" title="Link to this definition">#</a></dt>
+<dd><p>List of bulks that can be used in the API.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.Adsorbates">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">Adsorbates</span></span><a class="headerlink" href="#ocpapi.client.models.Adsorbates" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores the response from a request to fetch adsorbates supported in the
+API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Adsorbates.adsorbates_supported">
+<span class="sig-name descname"><span class="pre">adsorbates_supported</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Adsorbates.adsorbates_supported" title="Link to this definition">#</a></dt>
+<dd><p>List of adsorbates that can be used in the API.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.Atoms">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">Atoms</span></span><a class="headerlink" href="#ocpapi.client.models.Atoms" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Subset of the fields from an ASE Atoms object that are used within this
+API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Atoms.cell">
+<span class="sig-name descname"><span class="pre">cell</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Atoms.cell" title="Link to this definition">#</a></dt>
+<dd><p>3x3 matrix with unit cell vectors.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Atoms.pbc">
+<span class="sig-name descname"><span class="pre">pbc</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Atoms.pbc" title="Link to this definition">#</a></dt>
+<dd><p>Whether the structure is periodic along the a, b, and c lattice vectors,
+respectively.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Atoms.numbers">
+<span class="sig-name descname"><span class="pre">numbers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Atoms.numbers" title="Link to this definition">#</a></dt>
+<dd><p>The atomic number of each atom in the unit cell.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Atoms.positions">
+<span class="sig-name descname"><span class="pre">positions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Atoms.positions" title="Link to this definition">#</a></dt>
+<dd><p>The coordinates of each atom in the unit cell, relative to the cartesian
+frame.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Atoms.tags">
+<span class="sig-name descname"><span class="pre">tags</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Atoms.tags" title="Link to this definition">#</a></dt>
+<dd><p>Labels for each atom in the unit cell where 0 represents a subsurface atom
+(fixed during optimization), 1 represents a surface atom, and 2 represents
+an adsorbate atom.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.models.Atoms.to_ase_atoms">
+<span class="sig-name descname"><span class="pre">to_ase_atoms</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#ocpapi.client.models.Atoms.to_ase_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Creates an ase.Atoms object with the positions, element numbers,
+etc. populated from values on this object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms object with values from this object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.SlabMetadata">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">SlabMetadata</span></span><a class="headerlink" href="#ocpapi.client.models.SlabMetadata" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores metadata about a slab that is returned from the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.SlabMetadata.bulk_src_id">
+<span class="sig-name descname"><span class="pre">bulk_src_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.models.SlabMetadata.bulk_src_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the bulk material from which the slab was derived.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.SlabMetadata.millers">
+<span class="sig-name descname"><span class="pre">millers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.SlabMetadata.millers" title="Link to this definition">#</a></dt>
+<dd><p>The Miller indices of the slab relative to bulk structure.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.SlabMetadata.shift">
+<span class="sig-name descname"><span class="pre">shift</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#ocpapi.client.models.SlabMetadata.shift" title="Link to this definition">#</a></dt>
+<dd><p>The position along the vector defined by the Miller indices at which a
+cut was taken to generate the slab surface.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.SlabMetadata.top">
+<span class="sig-name descname"><span class="pre">top</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><a class="headerlink" href="#ocpapi.client.models.SlabMetadata.top" title="Link to this definition">#</a></dt>
+<dd><p>If False, the top and bottom surfaces for this millers/shift pair are
+distinct and this slab represents the bottom surface.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.Slab">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">Slab</span></span><a class="headerlink" href="#ocpapi.client.models.Slab" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores all information about a slab that is returned from the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Slab.atoms">
+<span class="sig-name descname"><span class="pre">atoms</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.models.Atoms" title="ocpapi.client.models.Atoms"><span class="pre">Atoms</span></a></em><a class="headerlink" href="#ocpapi.client.models.Slab.atoms" title="Link to this definition">#</a></dt>
+<dd><p>The structure of the slab.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Slab.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.models.SlabMetadata" title="ocpapi.client.models.SlabMetadata"><span class="pre">SlabMetadata</span></a></em><a class="headerlink" href="#ocpapi.client.models.Slab.metadata" title="Link to this definition">#</a></dt>
+<dd><p>Extra information about the slab.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.Slabs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">Slabs</span></span><a class="headerlink" href="#ocpapi.client.models.Slabs" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores the response from a request to fetch slabs for a bulk structure.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Slabs.slabs">
+<span class="sig-name descname"><span class="pre">slabs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><span class="pre">Slab</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.Slabs.slabs" title="Link to this definition">#</a></dt>
+<dd><p>The list of slabs that were generated from the input bulk structure.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabConfigs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabConfigs</span></span><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabConfigs" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores the response from a request to fetch placements of a single
+absorbate on a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabConfigs.adsorbate_configs">
+<span class="sig-name descname"><span class="pre">adsorbate_configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.models.Atoms" title="ocpapi.client.models.Atoms"><span class="pre">Atoms</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabConfigs.adsorbate_configs" title="Link to this definition">#</a></dt>
+<dd><p>List of structures, each representing one possible adsorbate placement.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabConfigs.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><span class="pre">Slab</span></a></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabConfigs.slab" title="Link to this definition">#</a></dt>
+<dd><p>The structure of the slab on which the adsorbate is placed.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsSystem">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationsSystem</span></span><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores the response from a request to submit a new batch of adsorbate
+slab relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsSystem.system_id">
+<span class="sig-name descname"><span class="pre">system_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem.system_id" title="Link to this definition">#</a></dt>
+<dd><p>Unique ID for this set of relaxations which can be used to fetch results
+later.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsSystem.config_ids">
+<span class="sig-name descname"><span class="pre">config_ids</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem.config_ids" title="Link to this definition">#</a></dt>
+<dd><p>The list of IDs assigned to each of the input adsorbate placements, in the
+same order in which they were submitted.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsRequest">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationsRequest</span></span><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores the request to submit a new batch of adsorbate slab relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate">
+<span class="sig-name descname"><span class="pre">adsorbate</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Description of the adsorbate.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_configs">
+<span class="sig-name descname"><span class="pre">adsorbate_configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.models.Atoms" title="ocpapi.client.models.Atoms"><span class="pre">Atoms</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_configs" title="Link to this definition">#</a></dt>
+<dd><p>List of adsorbate placements being relaxed.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsRequest.bulk">
+<span class="sig-name descname"><span class="pre">bulk</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.models.Bulk" title="ocpapi.client.models.Bulk"><span class="pre">Bulk</span></a></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.bulk" title="Link to this definition">#</a></dt>
+<dd><p>Information about the original bulk structure used to create the slab.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsRequest.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><span class="pre">Slab</span></a></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.slab" title="Link to this definition">#</a></dt>
+<dd><p>The structure of the slab on which adsorbates are placed.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsRequest.model">
+<span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.model" title="Link to this definition">#</a></dt>
+<dd><p>The type of the ML model being used during relaxations.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsRequest.ephemeral">
+<span class="sig-name descname"><span class="pre">ephemeral</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.ephemeral" title="Link to this definition">#</a></dt>
+<dd><p>Whether the relaxations can be deleted (assume they cannot be deleted if
+None).</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_reaction">
+<span class="sig-name descname"><span class="pre">adsorbate_reaction</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_reaction" title="Link to this definition">#</a></dt>
+<dd><p>If possible, an html-formatted string describing the reaction will be added
+to this field.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.Status">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">Status</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwds</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.client.models.Status" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">enum.Enum</span></code></p>
+<p>Relaxation status of a single adsorbate placement on a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Status.NOT_AVAILABLE">
+<span class="sig-name descname"><span class="pre">NOT_AVAILABLE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'not_available'</span></em><a class="headerlink" href="#ocpapi.client.models.Status.NOT_AVAILABLE" title="Link to this definition">#</a></dt>
+<dd><p>The configuration exists but the result is not yet available. It is
+possible that checking again in the future could yield a result.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Status.FAILED_RELAXATION">
+<span class="sig-name descname"><span class="pre">FAILED_RELAXATION</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'failed_relaxation'</span></em><a class="headerlink" href="#ocpapi.client.models.Status.FAILED_RELAXATION" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation failed for this configuration.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Status.SUCCESS">
+<span class="sig-name descname"><span class="pre">SUCCESS</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'success'</span></em><a class="headerlink" href="#ocpapi.client.models.Status.SUCCESS" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation was successful and the requested information about the
+configuration was returned.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.Status.DOES_NOT_EXIST">
+<span class="sig-name descname"><span class="pre">DOES_NOT_EXIST</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'does_not_exist'</span></em><a class="headerlink" href="#ocpapi.client.models.Status.DOES_NOT_EXIST" title="Link to this definition">#</a></dt>
+<dd><p>The requested configuration does not exist.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.models.Status.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#ocpapi.client.models.Status.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationResult</span></span><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores information about a single adsorbate slab configuration, including
+outputs for the model used in relaxations.</p>
+<p>The API to fetch relaxation results supports requesting a subset of fields
+in order to limit the size of response payloads. Optional attributes will
+be defined only if they are including the response.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.config_id">
+<span class="sig-name descname"><span class="pre">config_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.config_id" title="Link to this definition">#</a></dt>
+<dd><p>ID of the configuration within the system.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.status">
+<span class="sig-name descname"><span class="pre">status</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.client.models.Status" title="ocpapi.client.models.Status"><span class="pre">Status</span></a></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.status" title="Link to this definition">#</a></dt>
+<dd><p>The status of the request for information about this configuration.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.system_id">
+<span class="sig-name descname"><span class="pre">system_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.system_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the system in which the configuration was originally submitted.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.cell">
+<span class="sig-name descname"><span class="pre">cell</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.cell" title="Link to this definition">#</a></dt>
+<dd><p>3x3 matrix with unit cell vectors.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.pbc">
+<span class="sig-name descname"><span class="pre">pbc</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.pbc" title="Link to this definition">#</a></dt>
+<dd><p>Whether the structure is periodic along the a, b, and c lattice vectors,
+respectively.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.numbers">
+<span class="sig-name descname"><span class="pre">numbers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.numbers" title="Link to this definition">#</a></dt>
+<dd><p>The atomic number of each atom in the unit cell.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.positions">
+<span class="sig-name descname"><span class="pre">positions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.positions" title="Link to this definition">#</a></dt>
+<dd><p>The coordinates of each atom in the unit cell, relative to the cartesian
+frame.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.tags">
+<span class="sig-name descname"><span class="pre">tags</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.tags" title="Link to this definition">#</a></dt>
+<dd><p>Labels for each atom in the unit cell where 0 represents a subsurface atom
+(fixed during optimization), 1 represents a surface atom, and 2 represents
+an adsorbate atom.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.energy">
+<span class="sig-name descname"><span class="pre">energy</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.energy" title="Link to this definition">#</a></dt>
+<dd><p>The energy of the configuration.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.energy_trajectory">
+<span class="sig-name descname"><span class="pre">energy_trajectory</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.energy_trajectory" title="Link to this definition">#</a></dt>
+<dd><p>The energy of the configuration at each point along the relaxation
+trajectory.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.forces">
+<span class="sig-name descname"><span class="pre">forces</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.forces" title="Link to this definition">#</a></dt>
+<dd><p>The forces on each atom in the relaxed structure.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationResult.to_ase_atoms">
+<span class="sig-name descname"><span class="pre">to_ase_atoms</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.to_ase_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Creates an ase.Atoms object with the positions, element numbers,
+etc. populated from values on this object.</p>
+<p>The predicted energy and forces will also be copied to the new
+ase.Atoms object as a SinglePointCalculator (a calculator that
+stores the results of an already-run simulation).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms object with values from this object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsResults">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.client.models.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationsResults</span></span><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.client.models._DataModel" title="ocpapi.client.models._DataModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></a></p>
+<p>Stores the response from a request for results of adsorbate slab
+relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsResults.configs">
+<span class="sig-name descname"><span class="pre">configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult" title="ocpapi.client.models.AdsorbateSlabRelaxationResult"><span class="pre">AdsorbateSlabRelaxationResult</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults.configs" title="Link to this definition">#</a></dt>
+<dd><p>List of configurations in the system, each representing one placement of
+an adsorbate on a slab surface.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.client.models.AdsorbateSlabRelaxationsResults.omitted_config_ids">
+<span class="sig-name descname"><span class="pre">omitted_config_ids</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults.omitted_config_ids" title="Link to this definition">#</a></dt>
+<dd><p>List of IDs of configurations that were requested but omitted by the
+server. Results for these IDs can be requested again.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+        kernelOptions: {
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+            path: "./autoapi/ocpapi/client/models"
+        },
+        predefinedOutput: true
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+    </script>
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+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models._DataModel"><code class="docutils literal notranslate"><span class="pre">_DataModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models._DataModel.other_fields"><code class="docutils literal notranslate"><span class="pre">_DataModel.other_fields</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Model"><code class="docutils literal notranslate"><span class="pre">Model</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Model.id"><code class="docutils literal notranslate"><span class="pre">Model.id</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Models"><code class="docutils literal notranslate"><span class="pre">Models</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Models.models"><code class="docutils literal notranslate"><span class="pre">Models.models</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulk.src_id"><code class="docutils literal notranslate"><span class="pre">Bulk.src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulk.formula"><code class="docutils literal notranslate"><span class="pre">Bulk.formula</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulk.elements"><code class="docutils literal notranslate"><span class="pre">Bulk.elements</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulks"><code class="docutils literal notranslate"><span class="pre">Bulks</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Bulks.bulks_supported"><code class="docutils literal notranslate"><span class="pre">Bulks.bulks_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Adsorbates"><code class="docutils literal notranslate"><span class="pre">Adsorbates</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Adsorbates.adsorbates_supported"><code class="docutils literal notranslate"><span class="pre">Adsorbates.adsorbates_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms"><code class="docutils literal notranslate"><span class="pre">Atoms</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.cell"><code class="docutils literal notranslate"><span class="pre">Atoms.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.pbc"><code class="docutils literal notranslate"><span class="pre">Atoms.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.numbers"><code class="docutils literal notranslate"><span class="pre">Atoms.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.positions"><code class="docutils literal notranslate"><span class="pre">Atoms.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.tags"><code class="docutils literal notranslate"><span class="pre">Atoms.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Atoms.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">Atoms.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata"><code class="docutils literal notranslate"><span class="pre">SlabMetadata</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata.bulk_src_id"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.bulk_src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata.millers"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata.shift"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.SlabMetadata.top"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.top</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slab.metadata"><code class="docutils literal notranslate"><span class="pre">Slab.metadata</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slabs"><code class="docutils literal notranslate"><span class="pre">Slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Slabs.slabs"><code class="docutils literal notranslate"><span class="pre">Slabs.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabConfigs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabConfigs.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabConfigs.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.slab</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsSystem.config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.ephemeral"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.ephemeral</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_reaction"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_reaction</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status"><code class="docutils literal notranslate"><span class="pre">Status</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.NOT_AVAILABLE"><code class="docutils literal notranslate"><span class="pre">Status.NOT_AVAILABLE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.FAILED_RELAXATION"><code class="docutils literal notranslate"><span class="pre">Status.FAILED_RELAXATION</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.SUCCESS"><code class="docutils literal notranslate"><span class="pre">Status.SUCCESS</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.DOES_NOT_EXIST"><code class="docutils literal notranslate"><span class="pre">Status.DOES_NOT_EXIST</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.Status.__str__"><code class="docutils literal notranslate"><span class="pre">Status.__str__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.config_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.config_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.status"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.status</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.cell"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.pbc"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.numbers"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.positions"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.tags"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.energy"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.energy_trajectory"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy_trajectory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.forces"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationResult.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.models.AdsorbateSlabRelaxationsResults.omitted_config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.omitted_config_ids</span></code></a></li>
+</ul>
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+    <h1>ocpapi.client.ui</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.ui._API_TO_UI_HOSTS"><code class="docutils literal notranslate"><span class="pre">_API_TO_UI_HOSTS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.ui.get_results_ui_url"><code class="docutils literal notranslate"><span class="pre">get_results_ui_url()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-ocpapi.client.ui">
+<span id="ocpapi-client-ui"></span><h1>ocpapi.client.ui<a class="headerlink" href="#module-ocpapi.client.ui" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.ui._API_TO_UI_HOSTS" title="ocpapi.client.ui._API_TO_UI_HOSTS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_API_TO_UI_HOSTS</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.client.ui.get_results_ui_url" title="ocpapi.client.ui.get_results_ui_url"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_results_ui_url</span></code></a>(→ str | None)</p></td>
+<td><p>Generates the URL at which results for the input system can be</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.client.ui._API_TO_UI_HOSTS">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.client.ui.</span></span><span class="sig-name descname"><span class="pre">_API_TO_UI_HOSTS</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.client.ui._API_TO_UI_HOSTS" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.client.ui.get_results_ui_url">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.client.ui.</span></span><span class="sig-name descname"><span class="pre">get_results_ui_url</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">api_host</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.client.ui.get_results_ui_url" title="Link to this definition">#</a></dt>
+<dd><p>Generates the URL at which results for the input system can be
+visualized.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>api_host</strong> – The API host on which the system was run.</p></li>
+<li><p><strong>system_id</strong> – ID of the system being visualized.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The URL at which the input system can be visualized. None if the
+API host is not recognized.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.ui._API_TO_UI_HOSTS"><code class="docutils literal notranslate"><span class="pre">_API_TO_UI_HOSTS</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.client.ui.get_results_ui_url"><code class="docutils literal notranslate"><span class="pre">get_results_ui_url()</span></code></a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>ocpapi</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.__version__"><code class="docutils literal notranslate"><span class="pre">__version__</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client"><code class="docutils literal notranslate"><span class="pre">Client</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client._host"><code class="docutils literal notranslate"><span class="pre">Client._host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client._base_url"><code class="docutils literal notranslate"><span class="pre">Client._base_url</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.host"><code class="docutils literal notranslate"><span class="pre">Client.host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_models"><code class="docutils literal notranslate"><span class="pre">Client.get_models()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_bulks"><code class="docutils literal notranslate"><span class="pre">Client.get_bulks()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_adsorbates"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_slabs"><code class="docutils literal notranslate"><span class="pre">Client.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_adsorbate_slab_configs"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_configs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.submit_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.submit_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_adsorbate_slab_relaxations_request"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_request()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_adsorbate_slab_relaxations_results"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_results()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.delete_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.delete_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client._run_request"><code class="docutils literal notranslate"><span class="pre">Client._run_request()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.NonRetryableRequestException"><code class="docutils literal notranslate"><span class="pre">NonRetryableRequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitExceededException"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitExceededException.retry_after"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RequestException"><code class="docutils literal notranslate"><span class="pre">RequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Adsorbates"><code class="docutils literal notranslate"><span class="pre">Adsorbates</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Adsorbates.adsorbates_supported"><code class="docutils literal notranslate"><span class="pre">Adsorbates.adsorbates_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabConfigs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabConfigs.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabConfigs.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.slab</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.config_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.config_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.status"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.status</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.cell"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.pbc"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.numbers"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.positions"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.tags"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.energy"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.energy_trajectory"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy_trajectory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.forces"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.ephemeral"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.ephemeral</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_reaction"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_reaction</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsResults"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsResults.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsResults.omitted_config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.omitted_config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsSystem"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsSystem.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsSystem.config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms"><code class="docutils literal notranslate"><span class="pre">Atoms</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.cell"><code class="docutils literal notranslate"><span class="pre">Atoms.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.pbc"><code class="docutils literal notranslate"><span class="pre">Atoms.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.numbers"><code class="docutils literal notranslate"><span class="pre">Atoms.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.positions"><code class="docutils literal notranslate"><span class="pre">Atoms.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.tags"><code class="docutils literal notranslate"><span class="pre">Atoms.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">Atoms.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulk.src_id"><code class="docutils literal notranslate"><span class="pre">Bulk.src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulk.formula"><code class="docutils literal notranslate"><span class="pre">Bulk.formula</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulk.elements"><code class="docutils literal notranslate"><span class="pre">Bulk.elements</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulks"><code class="docutils literal notranslate"><span class="pre">Bulks</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulks.bulks_supported"><code class="docutils literal notranslate"><span class="pre">Bulks.bulks_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Model"><code class="docutils literal notranslate"><span class="pre">Model</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Model.id"><code class="docutils literal notranslate"><span class="pre">Model.id</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Models"><code class="docutils literal notranslate"><span class="pre">Models</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Models.models"><code class="docutils literal notranslate"><span class="pre">Models.models</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slab.metadata"><code class="docutils literal notranslate"><span class="pre">Slab.metadata</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata"><code class="docutils literal notranslate"><span class="pre">SlabMetadata</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata.bulk_src_id"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.bulk_src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata.millers"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata.shift"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata.top"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.top</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slabs"><code class="docutils literal notranslate"><span class="pre">Slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slabs.slabs"><code class="docutils literal notranslate"><span class="pre">Slabs.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status"><code class="docutils literal notranslate"><span class="pre">Status</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.NOT_AVAILABLE"><code class="docutils literal notranslate"><span class="pre">Status.NOT_AVAILABLE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.FAILED_RELAXATION"><code class="docutils literal notranslate"><span class="pre">Status.FAILED_RELAXATION</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.SUCCESS"><code class="docutils literal notranslate"><span class="pre">Status.SUCCESS</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.DOES_NOT_EXIST"><code class="docutils literal notranslate"><span class="pre">Status.DOES_NOT_EXIST</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.__str__"><code class="docutils literal notranslate"><span class="pre">Status.__str__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.get_results_ui_url"><code class="docutils literal notranslate"><span class="pre">get_results_ui_url()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites.slabs"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.api_host"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.api_host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.ui_url"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.ui_url</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Lifetime"><code class="docutils literal notranslate"><span class="pre">Lifetime</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Lifetime.SAVE"><code class="docutils literal notranslate"><span class="pre">Lifetime.SAVE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Lifetime.MARK_EPHEMERAL"><code class="docutils literal notranslate"><span class="pre">Lifetime.MARK_EPHEMERAL</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Lifetime.DELETE"><code class="docutils literal notranslate"><span class="pre">Lifetime.DELETE</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.UnsupportedAdsorbateException"><code class="docutils literal notranslate"><span class="pre">UnsupportedAdsorbateException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.UnsupportedBulkException"><code class="docutils literal notranslate"><span class="pre">UnsupportedBulkException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.UnsupportedModelException"><code class="docutils literal notranslate"><span class="pre">UnsupportedModelException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.find_adsorbate_binding_sites"><code class="docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.get_adsorbate_slab_relaxation_results"><code class="docutils literal notranslate"><span class="pre">get_adsorbate_slab_relaxation_results()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.wait_for_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">wait_for_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_all_slabs"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_all_slabs.__call__"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_slabs_with_miller_indices"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_slabs_with_miller_indices._unique_millers"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices._unique_millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_slabs_with_miller_indices.__call__"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.prompt_for_slabs_to_keep"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.prompt_for_slabs_to_keep._sort_key"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep._sort_key()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.prompt_for_slabs_to_keep.__call__"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.NO_LIMIT"><code class="docutils literal notranslate"><span class="pre">NO_LIMIT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.NoLimitType"><code class="docutils literal notranslate"><span class="pre">NoLimitType</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitLogging"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitLogging.logger"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.logger</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitLogging.action"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.action</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.retry_api_calls"><code class="docutils literal notranslate"><span class="pre">retry_api_calls()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-ocpapi">
+<span id="ocpapi"></span><h1>ocpapi<a class="headerlink" href="#module-ocpapi" title="Link to this heading">#</a></h1>
+<p>Copyright (c) Meta, Inc. and its affiliates.</p>
+<p>This source code is licensed under the MIT license found in the
+LICENSE file in the root directory of this source tree.</p>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="client/index.html">ocpapi.client</a></li>
+<li class="toctree-l1"><a class="reference internal" href="version/index.html">ocpapi.version</a></li>
+<li class="toctree-l1"><a class="reference internal" href="workflows/index.html">ocpapi.workflows</a></li>
+</ul>
+</div>
+</section>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.__version__" title="ocpapi.__version__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__version__</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.NO_LIMIT" title="ocpapi.NO_LIMIT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NO_LIMIT</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.NoLimitType" title="ocpapi.NoLimitType"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NoLimitType</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="exceptions">
+<h2>Exceptions<a class="headerlink" href="#exceptions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NonRetryableRequestException</span></code></a></p></td>
+<td><p>Exception raised when an API call is rejected for a reason that will</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RateLimitExceededException</span></code></a></p></td>
+<td><p>Exception raised when an API call is rejected because a rate limit has</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RequestException</span></code></a></p></td>
+<td><p>Exception raised any time there is an error while making an API call.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.UnsupportedAdsorbateException" title="ocpapi.UnsupportedAdsorbateException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedAdsorbateException</span></code></a></p></td>
+<td><p>Exception raised when an adsorbate is not supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.UnsupportedBulkException" title="ocpapi.UnsupportedBulkException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedBulkException</span></code></a></p></td>
+<td><p>Exception raised when a bulk material is not supported in the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.UnsupportedModelException" title="ocpapi.UnsupportedModelException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedModelException</span></code></a></p></td>
+<td><p>Exception raised when a model is not supported in the API.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.Client" title="ocpapi.Client"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Client</span></code></a></p></td>
+<td><p>Exposes each route in the OCP API as a method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.Adsorbates" title="ocpapi.Adsorbates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Adsorbates</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch adsorbates supported in the</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.AdsorbateSlabConfigs" title="ocpapi.AdsorbateSlabConfigs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch placements of a single</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.AdsorbateSlabRelaxationResult" title="ocpapi.AdsorbateSlabRelaxationResult"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult</span></code></a></p></td>
+<td><p>Stores information about a single adsorbate slab configuration, including</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.AdsorbateSlabRelaxationsRequest" title="ocpapi.AdsorbateSlabRelaxationsRequest"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest</span></code></a></p></td>
+<td><p>Stores the request to submit a new batch of adsorbate slab relaxations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.AdsorbateSlabRelaxationsResults" title="ocpapi.AdsorbateSlabRelaxationsResults"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults</span></code></a></p></td>
+<td><p>Stores the response from a request for results of adsorbate slab</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.AdsorbateSlabRelaxationsSystem" title="ocpapi.AdsorbateSlabRelaxationsSystem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem</span></code></a></p></td>
+<td><p>Stores the response from a request to submit a new batch of adsorbate</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.Atoms" title="ocpapi.Atoms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Atoms</span></code></a></p></td>
+<td><p>Subset of the fields from an ASE Atoms object that are used within this</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.Bulk" title="ocpapi.Bulk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bulk</span></code></a></p></td>
+<td><p>Stores information about a single bulk material.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.Bulks" title="ocpapi.Bulks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Bulks</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch bulks supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.Model" title="ocpapi.Model"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Model</span></code></a></p></td>
+<td><p>Stores information about a single model supported in the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.Models" title="ocpapi.Models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Models</span></code></a></p></td>
+<td><p>Stores the response from a request for models supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.Slab" title="ocpapi.Slab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Slab</span></code></a></p></td>
+<td><p>Stores all information about a slab that is returned from the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.SlabMetadata" title="ocpapi.SlabMetadata"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SlabMetadata</span></code></a></p></td>
+<td><p>Stores metadata about a slab that is returned from the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.Slabs" title="ocpapi.Slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Slabs</span></code></a></p></td>
+<td><p>Stores the response from a request to fetch slabs for a bulk structure.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.Status" title="ocpapi.Status"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Status</span></code></a></p></td>
+<td><p>Relaxation status of a single adsorbate placement on a slab.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.AdsorbateBindingSites" title="ocpapi.AdsorbateBindingSites"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code></a></p></td>
+<td><p>Stores the inputs and results of a set of relaxations of adsorbate</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.AdsorbateSlabRelaxations" title="ocpapi.AdsorbateSlabRelaxations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations</span></code></a></p></td>
+<td><p>Stores the relaxations of adsorbate placements on the surface of a slab.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.Lifetime" title="ocpapi.Lifetime"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lifetime</span></code></a></p></td>
+<td><p>Represents different lifetimes when running relaxations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.keep_all_slabs" title="ocpapi.keep_all_slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keep_all_slabs</span></code></a></p></td>
+<td><p>Adslab filter than returns all slabs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.keep_slabs_with_miller_indices" title="ocpapi.keep_slabs_with_miller_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices</span></code></a></p></td>
+<td><p>Adslab filter that keeps any slabs with the configured miller indices.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.prompt_for_slabs_to_keep" title="ocpapi.prompt_for_slabs_to_keep"><code class="xref py py-obj docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep</span></code></a></p></td>
+<td><p>Adslab filter than presents the user with an interactive prompt to choose</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.RateLimitLogging" title="ocpapi.RateLimitLogging"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RateLimitLogging</span></code></a></p></td>
+<td><p>Controls logging when rate limits are hit.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.get_results_ui_url" title="ocpapi.get_results_ui_url"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_results_ui_url</span></code></a>(→ str | None)</p></td>
+<td><p>Generates the URL at which results for the input system can be</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.find_adsorbate_binding_sites" title="ocpapi.find_adsorbate_binding_sites"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites</span></code></a>(→ AdsorbateBindingSites)</p></td>
+<td><p>Search for adsorbate binding sites on surfaces of a bulk material.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.get_adsorbate_slab_relaxation_results" title="ocpapi.get_adsorbate_slab_relaxation_results"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_adsorbate_slab_relaxation_results</span></code></a>(...)</p></td>
+<td><p>Wrapper around Client.get_adsorbate_slab_relaxations_results() that</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.wait_for_adsorbate_slab_relaxations" title="ocpapi.wait_for_adsorbate_slab_relaxations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wait_for_adsorbate_slab_relaxations</span></code></a>(→ dict[int, ...)</p></td>
+<td><p>Blocks until all relaxations in the input system have finished, whether</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.retry_api_calls" title="ocpapi.retry_api_calls"><code class="xref py py-obj docutils literal notranslate"><span class="pre">retry_api_calls</span></code></a>(→ Any)</p></td>
+<td><p>Decorator with sensible defaults for retrying calls to the OCP API.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.__version__">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">__version__</span></span><a class="headerlink" href="#ocpapi.__version__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Client">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Client</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">host</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'open-catalyst-api.metademolab.com'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scheme</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'https'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.Client" title="Link to this definition">#</a></dt>
+<dd><p>Exposes each route in the OCP API as a method.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Client._host">
+<span class="sig-name descname"><span class="pre">_host</span></span><a class="headerlink" href="#ocpapi.Client._host" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Client._base_url">
+<span class="sig-name descname"><span class="pre">_base_url</span></span><a class="headerlink" href="#ocpapi.Client._base_url" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="ocpapi.Client.host">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">host</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.Client.host" title="Link to this definition">#</a></dt>
+<dd><p>The host being called by this client.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client.get_models">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_models</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.Models" title="ocpapi.client.models.Models"><span class="pre">ocpapi.client.models.Models</span></a></span></span><a class="headerlink" href="#ocpapi.Client.get_models" title="Link to this definition">#</a></dt>
+<dd><p>Fetch the list of models that are supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The models that are supported in the API.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client.get_bulks">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_bulks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.Bulks" title="ocpapi.client.models.Bulks"><span class="pre">ocpapi.client.models.Bulks</span></a></span></span><a class="headerlink" href="#ocpapi.Client.get_bulks" title="Link to this definition">#</a></dt>
+<dd><p>Fetch the list of bulk materials that are supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The bulks that are supported throughout the API.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client.get_adsorbates">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbates</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.Adsorbates" title="ocpapi.client.models.Adsorbates"><span class="pre">ocpapi.client.models.Adsorbates</span></a></span></span><a class="headerlink" href="#ocpapi.Client.get_adsorbates" title="Link to this definition">#</a></dt>
+<dd><p>Fetch the list of adsorbates that are supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The adsorbates that are supported throughout the API.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client.get_slabs">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="client/models/index.html#ocpapi.client.models.Bulk" title="ocpapi.client.models.Bulk"><span class="pre">ocpapi.client.models.Bulk</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.Slabs" title="ocpapi.client.models.Slabs"><span class="pre">ocpapi.client.models.Slabs</span></a></span></span><a class="headerlink" href="#ocpapi.Client.get_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Get a unique list of slabs for the input bulk structure.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bulk</strong> – If a string, the id of the bulk to use. Otherwise the Bulk
+instance to use.</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Slabs for each of the unique surfaces of the material.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client.get_adsorbate_slab_configs">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbate_slab_configs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><span class="pre">ocpapi.client.models.Slab</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.AdsorbateSlabConfigs" title="ocpapi.client.models.AdsorbateSlabConfigs"><span class="pre">ocpapi.client.models.AdsorbateSlabConfigs</span></a></span></span><a class="headerlink" href="#ocpapi.Client.get_adsorbate_slab_configs" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of possible binding sites for the input adsorbate on the
+input slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate</strong> – Description of the the adsorbate to place.</p></li>
+<li><p><strong>slab</strong> – Information about the slab on which the adsorbate should
+be placed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Configurations for each adsorbate binding site on the slab.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client.submit_adsorbate_slab_relaxations">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">submit_adsorbate_slab_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_configs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="client/models/index.html#ocpapi.client.models.Atoms" title="ocpapi.client.models.Atoms"><span class="pre">ocpapi.client.models.Atoms</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.Bulk" title="ocpapi.client.models.Bulk"><span class="pre">ocpapi.client.models.Bulk</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.Slab" title="ocpapi.client.models.Slab"><span class="pre">ocpapi.client.models.Slab</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ephemeral</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsSystem" title="ocpapi.client.models.AdsorbateSlabRelaxationsSystem"><span class="pre">ocpapi.client.models.AdsorbateSlabRelaxationsSystem</span></a></span></span><a class="headerlink" href="#ocpapi.Client.submit_adsorbate_slab_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Starts relaxations of the input adsorbate configurations on the input
+slab using energies and forces returned by the input model. Relaxations
+are run asynchronously and results can be fetched using the system id
+that is returned from this method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate</strong> – Description of the adsorbate being simulated.</p></li>
+<li><p><strong>adsorbate_configs</strong> – List of adsorbate configurations to relax. This
+should only include the adsorbates themselves; the surface is
+defined in the “slab” field that is a peer to this one.</p></li>
+<li><p><strong>bulk</strong> – Details of the bulk material being simulated.</p></li>
+<li><p><strong>slab</strong> – The structure of the slab on which adsorbates are placed.</p></li>
+<li><p><strong>model</strong> – The model that will be used to evaluate energies and forces
+during relaxations.</p></li>
+<li><p><strong>ephemeral</strong> – If False (default), any later attempt to delete the
+generated relaxations will be rejected. If True, deleting the
+relaxations will be allowed, which is generally useful for
+testing when there is no reason for results to be persisted.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>IDs of the relaxations.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client.get_adsorbate_slab_relaxations_request">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbate_slab_relaxations_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest" title="ocpapi.client.models.AdsorbateSlabRelaxationsRequest"><span class="pre">ocpapi.client.models.AdsorbateSlabRelaxationsRequest</span></a></span></span><a class="headerlink" href="#ocpapi.Client.get_adsorbate_slab_relaxations_request" title="Link to this definition">#</a></dt>
+<dd><p>Fetches the original relaxations request for the input system.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>system_id</strong> – The ID of the system to fetch.</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The original request that was made when submitting relaxations.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client.get_adsorbate_slab_relaxations_results">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_adsorbate_slab_relaxations_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config_ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsResults" title="ocpapi.client.models.AdsorbateSlabRelaxationsResults"><span class="pre">ocpapi.client.models.AdsorbateSlabRelaxationsResults</span></a></span></span><a class="headerlink" href="#ocpapi.Client.get_adsorbate_slab_relaxations_results" title="Link to this definition">#</a></dt>
+<dd><p>Fetches relaxation results for the input system.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>system_id</strong> – The system id of the relaxations.</p></li>
+<li><p><strong>config_ids</strong> – If defined and not empty, a subset of configurations
+to fetch. Otherwise all configurations are returned.</p></li>
+<li><p><strong>fields</strong> – If defined and not empty, a subset of fields in each
+configuration to fetch. Otherwise all fields are returned.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The relaxation results for each configuration in the system.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client.delete_adsorbate_slab_relaxations">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">delete_adsorbate_slab_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.Client.delete_adsorbate_slab_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Deletes all relaxation results for the input system.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>system_id</strong> – The ID of the system to delete.</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Client._run_request">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_run_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#ocpapi.Client._run_request" title="Link to this definition">#</a></dt>
+<dd><p>Helper method that runs the input request on a thread so that
+it doesn’t block the event loop on the calling thread.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>path</strong> – The URL path to make the request against.</p></li>
+<li><p><strong>method</strong> – The HTTP method to use (GET, POST, etc.).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.RateLimitExceededException" title="ocpapi.RateLimitExceededException"><strong>RateLimitExceededException</strong></a> – If the call was rejected because a
+server side rate limit was breached.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.NonRetryableRequestException" title="ocpapi.NonRetryableRequestException"><strong>NonRetryableRequestException</strong></a> – If the call was rejected and a retry
+is not expected to succeed.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><strong>RequestException</strong></a> – For all other errors when making the request; it
+is possible, though not guaranteed, that a retry could succeed.</p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The response body from the request as a string.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.NonRetryableRequestException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">NonRetryableRequestException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cause</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.NonRetryableRequestException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RequestException</span></code></a></p>
+<p>Exception raised when an API call is rejected for a reason that will
+not succeed on retry. For example, this might include a malformed request
+or action that is not allowed.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.RateLimitExceededException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">RateLimitExceededException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry_after</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datetime.timedelta</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.RateLimitExceededException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.RequestException" title="ocpapi.RequestException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RequestException</span></code></a></p>
+<p>Exception raised when an API call is rejected because a rate limit has
+been exceeded.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.RateLimitExceededException.retry_after">
+<span class="sig-name descname"><span class="pre">retry_after</span></span><a class="headerlink" href="#ocpapi.RateLimitExceededException.retry_after" title="Link to this definition">#</a></dt>
+<dd><p>If known, the time to wait before the next attempt to
+call the API should be made.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="id0">
+<span class="sig-name descname"><span class="pre">retry_after</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">datetime.timedelta</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#id0" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.RequestException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">RequestException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cause</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.RequestException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">Exception</span></code></p>
+<p>Exception raised any time there is an error while making an API call.</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Adsorbates">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Adsorbates</span></span><a class="headerlink" href="#ocpapi.Adsorbates" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to fetch adsorbates supported in the
+API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Adsorbates.adsorbates_supported">
+<span class="sig-name descname"><span class="pre">adsorbates_supported</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Adsorbates.adsorbates_supported" title="Link to this definition">#</a></dt>
+<dd><p>List of adsorbates that can be used in the API.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabConfigs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabConfigs</span></span><a class="headerlink" href="#ocpapi.AdsorbateSlabConfigs" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to fetch placements of a single
+absorbate on a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabConfigs.adsorbate_configs">
+<span class="sig-name descname"><span class="pre">adsorbate_configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.Atoms" title="ocpapi.Atoms"><span class="pre">Atoms</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabConfigs.adsorbate_configs" title="Link to this definition">#</a></dt>
+<dd><p>List of structures, each representing one possible adsorbate placement.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabConfigs.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.Slab" title="ocpapi.Slab"><span class="pre">Slab</span></a></em><a class="headerlink" href="#ocpapi.AdsorbateSlabConfigs.slab" title="Link to this definition">#</a></dt>
+<dd><p>The structure of the slab on which the adsorbate is placed.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationResult</span></span><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores information about a single adsorbate slab configuration, including
+outputs for the model used in relaxations.</p>
+<p>The API to fetch relaxation results supports requesting a subset of fields
+in order to limit the size of response payloads. Optional attributes will
+be defined only if they are including the response.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.config_id">
+<span class="sig-name descname"><span class="pre">config_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">int</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.config_id" title="Link to this definition">#</a></dt>
+<dd><p>ID of the configuration within the system.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.status">
+<span class="sig-name descname"><span class="pre">status</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.Status" title="ocpapi.Status"><span class="pre">Status</span></a></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.status" title="Link to this definition">#</a></dt>
+<dd><p>The status of the request for information about this configuration.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.system_id">
+<span class="sig-name descname"><span class="pre">system_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.system_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the system in which the configuration was originally submitted.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.cell">
+<span class="sig-name descname"><span class="pre">cell</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.cell" title="Link to this definition">#</a></dt>
+<dd><p>3x3 matrix with unit cell vectors.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.pbc">
+<span class="sig-name descname"><span class="pre">pbc</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.pbc" title="Link to this definition">#</a></dt>
+<dd><p>Whether the structure is periodic along the a, b, and c lattice vectors,
+respectively.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.numbers">
+<span class="sig-name descname"><span class="pre">numbers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.numbers" title="Link to this definition">#</a></dt>
+<dd><p>The atomic number of each atom in the unit cell.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.positions">
+<span class="sig-name descname"><span class="pre">positions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.positions" title="Link to this definition">#</a></dt>
+<dd><p>The coordinates of each atom in the unit cell, relative to the cartesian
+frame.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.tags">
+<span class="sig-name descname"><span class="pre">tags</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.tags" title="Link to this definition">#</a></dt>
+<dd><p>Labels for each atom in the unit cell where 0 represents a subsurface atom
+(fixed during optimization), 1 represents a surface atom, and 2 represents
+an adsorbate atom.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.energy">
+<span class="sig-name descname"><span class="pre">energy</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.energy" title="Link to this definition">#</a></dt>
+<dd><p>The energy of the configuration.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.energy_trajectory">
+<span class="sig-name descname"><span class="pre">energy_trajectory</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.energy_trajectory" title="Link to this definition">#</a></dt>
+<dd><p>The energy of the configuration at each point along the relaxation
+trajectory.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.forces">
+<span class="sig-name descname"><span class="pre">forces</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.forces" title="Link to this definition">#</a></dt>
+<dd><p>The forces on each atom in the relaxed structure.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationResult.to_ase_atoms">
+<span class="sig-name descname"><span class="pre">to_ase_atoms</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationResult.to_ase_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Creates an ase.Atoms object with the positions, element numbers,
+etc. populated from values on this object.</p>
+<p>The predicted energy and forces will also be copied to the new
+ase.Atoms object as a SinglePointCalculator (a calculator that
+stores the results of an already-run simulation).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms object with values from this object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsRequest">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationsRequest</span></span><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsRequest" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the request to submit a new batch of adsorbate slab relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate">
+<span class="sig-name descname"><span class="pre">adsorbate</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Description of the adsorbate.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_configs">
+<span class="sig-name descname"><span class="pre">adsorbate_configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.Atoms" title="ocpapi.Atoms"><span class="pre">Atoms</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_configs" title="Link to this definition">#</a></dt>
+<dd><p>List of adsorbate placements being relaxed.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsRequest.bulk">
+<span class="sig-name descname"><span class="pre">bulk</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.Bulk" title="ocpapi.Bulk"><span class="pre">Bulk</span></a></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsRequest.bulk" title="Link to this definition">#</a></dt>
+<dd><p>Information about the original bulk structure used to create the slab.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsRequest.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.Slab" title="ocpapi.Slab"><span class="pre">Slab</span></a></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsRequest.slab" title="Link to this definition">#</a></dt>
+<dd><p>The structure of the slab on which adsorbates are placed.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsRequest.model">
+<span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsRequest.model" title="Link to this definition">#</a></dt>
+<dd><p>The type of the ML model being used during relaxations.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsRequest.ephemeral">
+<span class="sig-name descname"><span class="pre">ephemeral</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsRequest.ephemeral" title="Link to this definition">#</a></dt>
+<dd><p>Whether the relaxations can be deleted (assume they cannot be deleted if
+None).</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_reaction">
+<span class="sig-name descname"><span class="pre">adsorbate_reaction</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_reaction" title="Link to this definition">#</a></dt>
+<dd><p>If possible, an html-formatted string describing the reaction will be added
+to this field.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsResults">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationsResults</span></span><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsResults" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request for results of adsorbate slab
+relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsResults.configs">
+<span class="sig-name descname"><span class="pre">configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.AdsorbateSlabRelaxationResult" title="ocpapi.AdsorbateSlabRelaxationResult"><span class="pre">AdsorbateSlabRelaxationResult</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsResults.configs" title="Link to this definition">#</a></dt>
+<dd><p>List of configurations in the system, each representing one placement of
+an adsorbate on a slab surface.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsResults.omitted_config_ids">
+<span class="sig-name descname"><span class="pre">omitted_config_ids</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsResults.omitted_config_ids" title="Link to this definition">#</a></dt>
+<dd><p>List of IDs of configurations that were requested but omitted by the
+server. Results for these IDs can be requested again.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsSystem">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxationsSystem</span></span><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsSystem" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to submit a new batch of adsorbate
+slab relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsSystem.system_id">
+<span class="sig-name descname"><span class="pre">system_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsSystem.system_id" title="Link to this definition">#</a></dt>
+<dd><p>Unique ID for this set of relaxations which can be used to fetch results
+later.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxationsSystem.config_ids">
+<span class="sig-name descname"><span class="pre">config_ids</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxationsSystem.config_ids" title="Link to this definition">#</a></dt>
+<dd><p>The list of IDs assigned to each of the input adsorbate placements, in the
+same order in which they were submitted.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Atoms">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Atoms</span></span><a class="headerlink" href="#ocpapi.Atoms" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Subset of the fields from an ASE Atoms object that are used within this
+API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Atoms.cell">
+<span class="sig-name descname"><span class="pre">cell</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Atoms.cell" title="Link to this definition">#</a></dt>
+<dd><p>3x3 matrix with unit cell vectors.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Atoms.pbc">
+<span class="sig-name descname"><span class="pre">pbc</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Atoms.pbc" title="Link to this definition">#</a></dt>
+<dd><p>Whether the structure is periodic along the a, b, and c lattice vectors,
+respectively.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Atoms.numbers">
+<span class="sig-name descname"><span class="pre">numbers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Atoms.numbers" title="Link to this definition">#</a></dt>
+<dd><p>The atomic number of each atom in the unit cell.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Atoms.positions">
+<span class="sig-name descname"><span class="pre">positions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Atoms.positions" title="Link to this definition">#</a></dt>
+<dd><p>The coordinates of each atom in the unit cell, relative to the cartesian
+frame.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Atoms.tags">
+<span class="sig-name descname"><span class="pre">tags</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Atoms.tags" title="Link to this definition">#</a></dt>
+<dd><p>Labels for each atom in the unit cell where 0 represents a subsurface atom
+(fixed during optimization), 1 represents a surface atom, and 2 represents
+an adsorbate atom.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Atoms.to_ase_atoms">
+<span class="sig-name descname"><span class="pre">to_ase_atoms</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ase.Atoms</span></span></span><a class="headerlink" href="#ocpapi.Atoms.to_ase_atoms" title="Link to this definition">#</a></dt>
+<dd><p>Creates an ase.Atoms object with the positions, element numbers,
+etc. populated from values on this object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ase.Atoms object with values from this object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Bulk">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Bulk</span></span><a class="headerlink" href="#ocpapi.Bulk" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores information about a single bulk material.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Bulk.src_id">
+<span class="sig-name descname"><span class="pre">src_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.Bulk.src_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the material.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Bulk.formula">
+<span class="sig-name descname"><span class="pre">formula</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.Bulk.formula" title="Link to this definition">#</a></dt>
+<dd><p>The chemical formula of the material.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Bulk.elements">
+<span class="sig-name descname"><span class="pre">elements</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Bulk.elements" title="Link to this definition">#</a></dt>
+<dd><p>The list of elements in the material.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Bulks">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Bulks</span></span><a class="headerlink" href="#ocpapi.Bulks" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to fetch bulks supported in the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Bulks.bulks_supported">
+<span class="sig-name descname"><span class="pre">bulks_supported</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.Bulk" title="ocpapi.Bulk"><span class="pre">Bulk</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Bulks.bulks_supported" title="Link to this definition">#</a></dt>
+<dd><p>List of bulks that can be used in the API.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Model">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Model</span></span><a class="headerlink" href="#ocpapi.Model" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores information about a single model supported in the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Model.id">
+<span class="sig-name descname"><span class="pre">id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.Model.id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the model.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Models">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Models</span></span><a class="headerlink" href="#ocpapi.Models" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request for models supported in the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Models.models">
+<span class="sig-name descname"><span class="pre">models</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.Model" title="ocpapi.Model"><span class="pre">Model</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Models.models" title="Link to this definition">#</a></dt>
+<dd><p>The list of models that are supported.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Slab">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Slab</span></span><a class="headerlink" href="#ocpapi.Slab" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores all information about a slab that is returned from the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Slab.atoms">
+<span class="sig-name descname"><span class="pre">atoms</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.Atoms" title="ocpapi.Atoms"><span class="pre">Atoms</span></a></em><a class="headerlink" href="#ocpapi.Slab.atoms" title="Link to this definition">#</a></dt>
+<dd><p>The structure of the slab.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Slab.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#ocpapi.SlabMetadata" title="ocpapi.SlabMetadata"><span class="pre">SlabMetadata</span></a></em><a class="headerlink" href="#ocpapi.Slab.metadata" title="Link to this definition">#</a></dt>
+<dd><p>Extra information about the slab.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.SlabMetadata">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">SlabMetadata</span></span><a class="headerlink" href="#ocpapi.SlabMetadata" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores metadata about a slab that is returned from the API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.SlabMetadata.bulk_src_id">
+<span class="sig-name descname"><span class="pre">bulk_src_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.SlabMetadata.bulk_src_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the bulk material from which the slab was derived.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.SlabMetadata.millers">
+<span class="sig-name descname"><span class="pre">millers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.SlabMetadata.millers" title="Link to this definition">#</a></dt>
+<dd><p>The Miller indices of the slab relative to bulk structure.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.SlabMetadata.shift">
+<span class="sig-name descname"><span class="pre">shift</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">float</span></em><a class="headerlink" href="#ocpapi.SlabMetadata.shift" title="Link to this definition">#</a></dt>
+<dd><p>The position along the vector defined by the Miller indices at which a
+cut was taken to generate the slab surface.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.SlabMetadata.top">
+<span class="sig-name descname"><span class="pre">top</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">bool</span></em><a class="headerlink" href="#ocpapi.SlabMetadata.top" title="Link to this definition">#</a></dt>
+<dd><p>If False, the top and bottom surfaces for this millers/shift pair are
+distinct and this slab represents the bottom surface.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Slabs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Slabs</span></span><a class="headerlink" href="#ocpapi.Slabs" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">_DataModel</span></code></p>
+<p>Stores the response from a request to fetch slabs for a bulk structure.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Slabs.slabs">
+<span class="sig-name descname"><span class="pre">slabs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.Slab" title="ocpapi.Slab"><span class="pre">Slab</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.Slabs.slabs" title="Link to this definition">#</a></dt>
+<dd><p>The list of slabs that were generated from the input bulk structure.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Status">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Status</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwds</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.Status" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">enum.Enum</span></code></p>
+<p>Relaxation status of a single adsorbate placement on a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Status.NOT_AVAILABLE">
+<span class="sig-name descname"><span class="pre">NOT_AVAILABLE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'not_available'</span></em><a class="headerlink" href="#ocpapi.Status.NOT_AVAILABLE" title="Link to this definition">#</a></dt>
+<dd><p>The configuration exists but the result is not yet available. It is
+possible that checking again in the future could yield a result.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Status.FAILED_RELAXATION">
+<span class="sig-name descname"><span class="pre">FAILED_RELAXATION</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'failed_relaxation'</span></em><a class="headerlink" href="#ocpapi.Status.FAILED_RELAXATION" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation failed for this configuration.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Status.SUCCESS">
+<span class="sig-name descname"><span class="pre">SUCCESS</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'success'</span></em><a class="headerlink" href="#ocpapi.Status.SUCCESS" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation was successful and the requested information about the
+configuration was returned.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Status.DOES_NOT_EXIST">
+<span class="sig-name descname"><span class="pre">DOES_NOT_EXIST</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'does_not_exist'</span></em><a class="headerlink" href="#ocpapi.Status.DOES_NOT_EXIST" title="Link to this definition">#</a></dt>
+<dd><p>The requested configuration does not exist.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.Status.__str__">
+<span class="sig-name descname"><span class="pre">__str__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#ocpapi.Status.__str__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.get_results_ui_url">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">get_results_ui_url</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">api_host</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.get_results_ui_url" title="Link to this definition">#</a></dt>
+<dd><p>Generates the URL at which results for the input system can be
+visualized.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>api_host</strong> – The API host on which the system was run.</p></li>
+<li><p><strong>system_id</strong> – ID of the system being visualized.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The URL at which the input system can be visualized. None if the
+API host is not recognized.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateBindingSites">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">AdsorbateBindingSites</span></span><a class="headerlink" href="#ocpapi.AdsorbateBindingSites" title="Link to this definition">#</a></dt>
+<dd><p>Stores the inputs and results of a set of relaxations of adsorbate
+placements on the surface of a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateBindingSites.adsorbate">
+<span class="sig-name descname"><span class="pre">adsorbate</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.AdsorbateBindingSites.adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Description of the adsorbate.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateBindingSites.bulk">
+<span class="sig-name descname"><span class="pre">bulk</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Bulk</span></em><a class="headerlink" href="#ocpapi.AdsorbateBindingSites.bulk" title="Link to this definition">#</a></dt>
+<dd><p>The bulk material that was being modeled.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateBindingSites.model">
+<span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.AdsorbateBindingSites.model" title="Link to this definition">#</a></dt>
+<dd><p>The type of the model that was run.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateBindingSites.slabs">
+<span class="sig-name descname"><span class="pre">slabs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.AdsorbateSlabRelaxations" title="ocpapi.AdsorbateSlabRelaxations"><span class="pre">AdsorbateSlabRelaxations</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.AdsorbateBindingSites.slabs" title="Link to this definition">#</a></dt>
+<dd><p>The list of slabs that were generated from the bulk structure. Each
+contains its own list of adsorbate placements.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxations">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxations</span></span><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxations" title="Link to this definition">#</a></dt>
+<dd><p>Stores the relaxations of adsorbate placements on the surface of a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxations.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Slab</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxations.slab" title="Link to this definition">#</a></dt>
+<dd><p>The slab on which the adsorbate was placed.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxations.configs">
+<span class="sig-name descname"><span class="pre">configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabRelaxationResult</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxations.configs" title="Link to this definition">#</a></dt>
+<dd><p>Details of the relaxation of each adsorbate placement, including the
+final position.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxations.system_id">
+<span class="sig-name descname"><span class="pre">system_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxations.system_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the system that stores all of the relaxations.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxations.api_host">
+<span class="sig-name descname"><span class="pre">api_host</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxations.api_host" title="Link to this definition">#</a></dt>
+<dd><p>The API host on which the relaxations were run.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.AdsorbateSlabRelaxations.ui_url">
+<span class="sig-name descname"><span class="pre">ui_url</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.AdsorbateSlabRelaxations.ui_url" title="Link to this definition">#</a></dt>
+<dd><p>The URL at which results can be visualized.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.Lifetime">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">Lifetime</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwds</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.Lifetime" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">enum.Enum</span></code></p>
+<p>Represents different lifetimes when running relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Lifetime.SAVE">
+<span class="sig-name descname"><span class="pre">SAVE</span></span><a class="headerlink" href="#ocpapi.Lifetime.SAVE" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation will be available on API servers indefinitely. It will not
+be possible to delete the relaxation in the future.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Lifetime.MARK_EPHEMERAL">
+<span class="sig-name descname"><span class="pre">MARK_EPHEMERAL</span></span><a class="headerlink" href="#ocpapi.Lifetime.MARK_EPHEMERAL" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation will be saved on API servers, but can be deleted at any time
+in the future.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.Lifetime.DELETE">
+<span class="sig-name descname"><span class="pre">DELETE</span></span><a class="headerlink" href="#ocpapi.Lifetime.DELETE" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation will be deleted from API servers as soon as the results have
+been fetched.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.UnsupportedAdsorbateException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">UnsupportedAdsorbateException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.UnsupportedAdsorbateException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></p>
+<p>Exception raised when an adsorbate is not supported in the API.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.UnsupportedBulkException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">UnsupportedBulkException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.UnsupportedBulkException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></p>
+<p>Exception raised when a bulk material is not supported in the API.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.UnsupportedModelException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">UnsupportedModelException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_models</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.UnsupportedModelException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></p>
+<p>Exception raised when a model is not supported in the API.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.find_adsorbate_binding_sites">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">find_adsorbate_binding_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'equiformer_v2_31M_s2ef_all_md'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adslab_filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Awaitable</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">_DEFAULT_ADSLAB_FILTER</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">DEFAULT_CLIENT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lifetime</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#ocpapi.Lifetime" title="ocpapi.Lifetime"><span class="pre">Lifetime</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">Lifetime.SAVE</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#ocpapi.AdsorbateBindingSites" title="ocpapi.AdsorbateBindingSites"><span class="pre">AdsorbateBindingSites</span></a></span></span><a class="headerlink" href="#ocpapi.find_adsorbate_binding_sites" title="Link to this definition">#</a></dt>
+<dd><p>Search for adsorbate binding sites on surfaces of a bulk material.
+This executes the following steps:</p>
+<blockquote>
+<div><ol class="arabic simple">
+<li><p>Ensure that both the adsorbate and bulk are supported in the
+OCP API.</p></li>
+<li><p>Enumerate unique surfaces from the bulk material.</p></li>
+<li><p>Enumerate likely binding sites for the input adsorbate on each
+of the generated surfaces.</p></li>
+<li><dl class="simple">
+<dt>Filter the list of generated adsorbate/slab (adslab) configurations</dt><dd><p>using the input adslab_filter.</p>
+</dd>
+</dl>
+</li>
+<li><p>Relax each generated surface+adsorbate structure by refining
+atomic positions to minimize forces generated by the input model.</p></li>
+</ol>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate</strong> – Description of the adsorbate to place.</p></li>
+<li><p><strong>bulk</strong> – The ID (typically Materials Project MP ID) of the bulk material
+on which the adsorbate will be placed.</p></li>
+<li><p><strong>model</strong> – The type of the model to use when calculating forces during
+relaxations.</p></li>
+<li><p><strong>adslab_filter</strong> – A function that modifies the set of adsorbate/slab
+configurations that will be relaxed. This can be used to subselect
+slabs and/or adsorbate configurations.</p></li>
+<li><p><strong>client</strong> – The OCP API client to use.</p></li>
+<li><p><strong>lifetime</strong> – Whether relaxations should be saved on the server, be marked
+as ephemeral (allowing them to deleted in the future), or deleted
+immediately.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Details of each adsorbate binding site, including results of relaxing
+to locally-optimized positions using the input model.</p>
+</dd>
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.UnsupportedModelException" title="ocpapi.UnsupportedModelException"><strong>UnsupportedModelException</strong></a> – If the requested model is not supported.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.UnsupportedBulkException" title="ocpapi.UnsupportedBulkException"><strong>UnsupportedBulkException</strong></a> – If the requested bulk is not supported.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.UnsupportedAdsorbateException" title="ocpapi.UnsupportedAdsorbateException"><strong>UnsupportedAdsorbateException</strong></a> – If the requested adsorbate is not
+supported.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.get_adsorbate_slab_relaxation_results">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">get_adsorbate_slab_relaxation_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config_ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">DEFAULT_CLIENT</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabRelaxationResult</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.get_adsorbate_slab_relaxation_results" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper around Client.get_adsorbate_slab_relaxations_results() that
+handles retries, including re-fetching individual configurations that
+are initially omitted.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>system_id</strong> – The system ID of the relaxations.</p></li>
+<li><p><strong>config_ids</strong> – If defined and not empty, a subset of configurations
+to fetch. Otherwise all configurations are returned.</p></li>
+<li><p><strong>fields</strong> – If defined and not empty, a subset of fields in each
+configuration to fetch. Otherwise all fields are returned.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>List of relaxation results, one for each adsorbate configuration in
+the system.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.wait_for_adsorbate_slab_relaxations">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">wait_for_adsorbate_slab_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">check_immediately</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slow_interval_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fast_interval_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tqdm.tqdm</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">DEFAULT_CLIENT</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Status</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.wait_for_adsorbate_slab_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Blocks until all relaxations in the input system have finished, whether
+successfully or not.</p>
+<p>Relaxations are queued in the API, waiting until machines are ready to
+run them. Once started, they can take 1-2 minutes to finish. This method
+initially sleeps “slow_interval_sec” seconds between each check for any
+relaxations having finished. Once at least one result is ready, subsequent
+sleeps are for “fast_interval_sec” seconds.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>system_id</strong> – The ID of the system for which relaxations are running.</p></li>
+<li><p><strong>check_immediately</strong> – If False (default), sleep before the first check
+for relaxations having finished. If True, check whether relaxations
+have finished immediately on entering this function.</p></li>
+<li><p><strong>slow_interval_sec</strong> – The number of seconds to wait between each check
+while all are still running.</p></li>
+<li><p><strong>fast_interval_sec</strong> – The number of seconds to wait between each check
+when at least one relaxation has finished in the system.</p></li>
+<li><p><strong>pbar</strong> – A tqdm instance that tracks the number of configurations that
+have finished. This will be updated with the number of individual
+configurations whose relaxations have finished.</p></li>
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Map of config IDs in the system to their terminal status.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.keep_all_slabs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">keep_all_slabs</span></span><a class="headerlink" href="#ocpapi.keep_all_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Adslab filter than returns all slabs.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.keep_all_slabs.__call__">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.keep_all_slabs.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.keep_slabs_with_miller_indices">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">keep_slabs_with_miller_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">miller_indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.keep_slabs_with_miller_indices" title="Link to this definition">#</a></dt>
+<dd><p>Adslab filter that keeps any slabs with the configured miller indices.
+Slabs with other miller indices will be ignored.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.keep_slabs_with_miller_indices._unique_millers">
+<span class="sig-name descname"><span class="pre">_unique_millers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.keep_slabs_with_miller_indices._unique_millers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.keep_slabs_with_miller_indices.__call__">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.keep_slabs_with_miller_indices.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.prompt_for_slabs_to_keep">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">prompt_for_slabs_to_keep</span></span><a class="headerlink" href="#ocpapi.prompt_for_slabs_to_keep" title="Link to this definition">#</a></dt>
+<dd><p>Adslab filter than presents the user with an interactive prompt to choose
+which of the input slabs to keep.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.prompt_for_slabs_to_keep._sort_key">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_sort_key</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.prompt_for_slabs_to_keep._sort_key" title="Link to this definition">#</a></dt>
+<dd><p>Generates a sort key from the input adslab. Returns the miller indices,
+shift, and top/bottom label so that they will be sorted by those values
+in that order.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.prompt_for_slabs_to_keep.__call__">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.prompt_for_slabs_to_keep.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.NO_LIMIT">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">NO_LIMIT</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">NoLimitType</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#ocpapi.NO_LIMIT" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.NoLimitType">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">NoLimitType</span></span><a class="headerlink" href="#ocpapi.NoLimitType" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.RateLimitLogging">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">RateLimitLogging</span></span><a class="headerlink" href="#ocpapi.RateLimitLogging" title="Link to this definition">#</a></dt>
+<dd><p>Controls logging when rate limits are hit.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.RateLimitLogging.logger">
+<span class="sig-name descname"><span class="pre">logger</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">logging.Logger</span></em><a class="headerlink" href="#ocpapi.RateLimitLogging.logger" title="Link to this definition">#</a></dt>
+<dd><p>The logger to use.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.RateLimitLogging.action">
+<span class="sig-name descname"><span class="pre">action</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.RateLimitLogging.action" title="Link to this definition">#</a></dt>
+<dd><p>A short description of the action being attempted.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.retry_api_calls">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.</span></span><span class="sig-name descname"><span class="pre">retry_api_calls</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_attempts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">NoLimitType</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rate_limit_logging</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#ocpapi.RateLimitLogging" title="ocpapi.RateLimitLogging"><span class="pre">RateLimitLogging</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fixed_wait_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_jitter_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#ocpapi.retry_api_calls" title="Link to this definition">#</a></dt>
+<dd><p>Decorator with sensible defaults for retrying calls to the OCP API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_attempts</strong> – The maximum number of calls to make. If NO_LIMIT,
+retries will be made forever.</p></li>
+<li><p><strong>rate_limit_logging</strong> – If not None, log statements will be generated
+using this configuration when a rate limit is hit.</p></li>
+<li><p><strong>fixed_wait_sec</strong> – The fixed number of seconds to wait when retrying an
+exception that does <em>not</em> include a retry-after value. The default
+value is sensible; this is exposed mostly for testing.</p></li>
+<li><p><strong>max_jitter_sec</strong> – The maximum number of seconds that will be randomly
+added to wait times. The default value is sensible; this is exposed
+mostly for testing.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/ocpapi"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.__version__"><code class="docutils literal notranslate"><span class="pre">__version__</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client"><code class="docutils literal notranslate"><span class="pre">Client</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client._host"><code class="docutils literal notranslate"><span class="pre">Client._host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client._base_url"><code class="docutils literal notranslate"><span class="pre">Client._base_url</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.host"><code class="docutils literal notranslate"><span class="pre">Client.host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_models"><code class="docutils literal notranslate"><span class="pre">Client.get_models()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_bulks"><code class="docutils literal notranslate"><span class="pre">Client.get_bulks()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_adsorbates"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbates()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_slabs"><code class="docutils literal notranslate"><span class="pre">Client.get_slabs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_adsorbate_slab_configs"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_configs()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.submit_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.submit_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_adsorbate_slab_relaxations_request"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_request()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.get_adsorbate_slab_relaxations_results"><code class="docutils literal notranslate"><span class="pre">Client.get_adsorbate_slab_relaxations_results()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client.delete_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">Client.delete_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Client._run_request"><code class="docutils literal notranslate"><span class="pre">Client._run_request()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.NonRetryableRequestException"><code class="docutils literal notranslate"><span class="pre">NonRetryableRequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitExceededException"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitExceededException.retry_after"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id0"><code class="docutils literal notranslate"><span class="pre">RateLimitExceededException.retry_after</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RequestException"><code class="docutils literal notranslate"><span class="pre">RequestException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Adsorbates"><code class="docutils literal notranslate"><span class="pre">Adsorbates</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Adsorbates.adsorbates_supported"><code class="docutils literal notranslate"><span class="pre">Adsorbates.adsorbates_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabConfigs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabConfigs.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabConfigs.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabConfigs.slab</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.config_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.config_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.status"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.status</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.cell"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.pbc"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.numbers"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.positions"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.tags"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.energy"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.energy_trajectory"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.energy_trajectory</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.forces"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.forces</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationResult.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationResult.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.ephemeral"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.ephemeral</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_reaction"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsRequest.adsorbate_reaction</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsResults"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsResults.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsResults.omitted_config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsResults.omitted_config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsSystem"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsSystem.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxationsSystem.config_ids"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxationsSystem.config_ids</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms"><code class="docutils literal notranslate"><span class="pre">Atoms</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.cell"><code class="docutils literal notranslate"><span class="pre">Atoms.cell</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.pbc"><code class="docutils literal notranslate"><span class="pre">Atoms.pbc</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.numbers"><code class="docutils literal notranslate"><span class="pre">Atoms.numbers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.positions"><code class="docutils literal notranslate"><span class="pre">Atoms.positions</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.tags"><code class="docutils literal notranslate"><span class="pre">Atoms.tags</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Atoms.to_ase_atoms"><code class="docutils literal notranslate"><span class="pre">Atoms.to_ase_atoms()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulk"><code class="docutils literal notranslate"><span class="pre">Bulk</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulk.src_id"><code class="docutils literal notranslate"><span class="pre">Bulk.src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulk.formula"><code class="docutils literal notranslate"><span class="pre">Bulk.formula</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulk.elements"><code class="docutils literal notranslate"><span class="pre">Bulk.elements</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulks"><code class="docutils literal notranslate"><span class="pre">Bulks</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Bulks.bulks_supported"><code class="docutils literal notranslate"><span class="pre">Bulks.bulks_supported</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Model"><code class="docutils literal notranslate"><span class="pre">Model</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Model.id"><code class="docutils literal notranslate"><span class="pre">Model.id</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Models"><code class="docutils literal notranslate"><span class="pre">Models</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Models.models"><code class="docutils literal notranslate"><span class="pre">Models.models</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slab"><code class="docutils literal notranslate"><span class="pre">Slab</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slab.atoms"><code class="docutils literal notranslate"><span class="pre">Slab.atoms</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slab.metadata"><code class="docutils literal notranslate"><span class="pre">Slab.metadata</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata"><code class="docutils literal notranslate"><span class="pre">SlabMetadata</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata.bulk_src_id"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.bulk_src_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata.millers"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata.shift"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.shift</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.SlabMetadata.top"><code class="docutils literal notranslate"><span class="pre">SlabMetadata.top</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slabs"><code class="docutils literal notranslate"><span class="pre">Slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Slabs.slabs"><code class="docutils literal notranslate"><span class="pre">Slabs.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status"><code class="docutils literal notranslate"><span class="pre">Status</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.NOT_AVAILABLE"><code class="docutils literal notranslate"><span class="pre">Status.NOT_AVAILABLE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.FAILED_RELAXATION"><code class="docutils literal notranslate"><span class="pre">Status.FAILED_RELAXATION</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.SUCCESS"><code class="docutils literal notranslate"><span class="pre">Status.SUCCESS</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.DOES_NOT_EXIST"><code class="docutils literal notranslate"><span class="pre">Status.DOES_NOT_EXIST</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Status.__str__"><code class="docutils literal notranslate"><span class="pre">Status.__str__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.get_results_ui_url"><code class="docutils literal notranslate"><span class="pre">get_results_ui_url()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateBindingSites.slabs"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.api_host"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.api_host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.AdsorbateSlabRelaxations.ui_url"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.ui_url</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Lifetime"><code class="docutils literal notranslate"><span class="pre">Lifetime</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Lifetime.SAVE"><code class="docutils literal notranslate"><span class="pre">Lifetime.SAVE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Lifetime.MARK_EPHEMERAL"><code class="docutils literal notranslate"><span class="pre">Lifetime.MARK_EPHEMERAL</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.Lifetime.DELETE"><code class="docutils literal notranslate"><span class="pre">Lifetime.DELETE</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.UnsupportedAdsorbateException"><code class="docutils literal notranslate"><span class="pre">UnsupportedAdsorbateException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.UnsupportedBulkException"><code class="docutils literal notranslate"><span class="pre">UnsupportedBulkException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.UnsupportedModelException"><code class="docutils literal notranslate"><span class="pre">UnsupportedModelException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.find_adsorbate_binding_sites"><code class="docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.get_adsorbate_slab_relaxation_results"><code class="docutils literal notranslate"><span class="pre">get_adsorbate_slab_relaxation_results()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.wait_for_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">wait_for_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_all_slabs"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_all_slabs.__call__"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_slabs_with_miller_indices"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_slabs_with_miller_indices._unique_millers"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices._unique_millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.keep_slabs_with_miller_indices.__call__"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.prompt_for_slabs_to_keep"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.prompt_for_slabs_to_keep._sort_key"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep._sort_key()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.prompt_for_slabs_to_keep.__call__"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.NO_LIMIT"><code class="docutils literal notranslate"><span class="pre">NO_LIMIT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.NoLimitType"><code class="docutils literal notranslate"><span class="pre">NoLimitType</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitLogging"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitLogging.logger"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.logger</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.RateLimitLogging.action"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.action</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.retry_api_calls"><code class="docutils literal notranslate"><span class="pre">retry_api_calls()</span></code></a></li>
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../../../../tutorials/NRR/NRR_toc.html">Screening catalysts with OCP</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._CTX_AD_BULK"><code class="docutils literal notranslate"><span class="pre">_CTX_AD_BULK</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._CTX_SLAB"><code class="docutils literal notranslate"><span class="pre">_CTX_SLAB</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._setup_log_record_factory"><code class="docutils literal notranslate"><span class="pre">_setup_log_record_factory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.DEFAULT_CLIENT"><code class="docutils literal notranslate"><span class="pre">DEFAULT_CLIENT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbatesException"><code class="docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.UnsupportedModelException"><code class="docutils literal notranslate"><span class="pre">UnsupportedModelException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.UnsupportedBulkException"><code class="docutils literal notranslate"><span class="pre">UnsupportedBulkException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.UnsupportedAdsorbateException"><code class="docutils literal notranslate"><span class="pre">UnsupportedAdsorbateException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.Lifetime"><code class="docutils literal notranslate"><span class="pre">Lifetime</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.Lifetime.SAVE"><code class="docutils literal notranslate"><span class="pre">Lifetime.SAVE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.Lifetime.MARK_EPHEMERAL"><code class="docutils literal notranslate"><span class="pre">Lifetime.MARK_EPHEMERAL</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.Lifetime.DELETE"><code class="docutils literal notranslate"><span class="pre">Lifetime.DELETE</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.api_host"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.api_host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.ui_url"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.ui_url</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.slabs"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._ensure_model_supported"><code class="docutils literal notranslate"><span class="pre">_ensure_model_supported()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_bulk_if_supported"><code class="docutils literal notranslate"><span class="pre">_get_bulk_if_supported()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._ensure_adsorbate_supported"><code class="docutils literal notranslate"><span class="pre">_ensure_adsorbate_supported()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_slabs"><code class="docutils literal notranslate"><span class="pre">_get_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab"><code class="docutils literal notranslate"><span class="pre">_get_absorbate_configs_on_slab()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab_with_logging"><code class="docutils literal notranslate"><span class="pre">_get_absorbate_configs_on_slab_with_logging()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_adsorbate_configs_on_slabs"><code class="docutils literal notranslate"><span class="pre">_get_adsorbate_configs_on_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._submit_relaxations"><code class="docutils literal notranslate"><span class="pre">_submit_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._submit_relaxations_with_progress_logging"><code class="docutils literal notranslate"><span class="pre">_submit_relaxations_with_progress_logging()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.get_adsorbate_slab_relaxation_results"><code class="docutils literal notranslate"><span class="pre">get_adsorbate_slab_relaxation_results()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.wait_for_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">wait_for_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._delete_system"><code class="docutils literal notranslate"><span class="pre">_delete_system()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._ensure_system_deleted"><code class="docutils literal notranslate"><span class="pre">_ensure_system_deleted()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._run_relaxations_on_slab"><code class="docutils literal notranslate"><span class="pre">_run_relaxations_on_slab()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._refresh_pbar"><code class="docutils literal notranslate"><span class="pre">_refresh_pbar()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._relax_binding_sites_on_slabs"><code class="docutils literal notranslate"><span class="pre">_relax_binding_sites_on_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._DEFAULT_ADSLAB_FILTER"><code class="docutils literal notranslate"><span class="pre">_DEFAULT_ADSLAB_FILTER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.find_adsorbate_binding_sites"><code class="docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-ocpapi.workflows.adsorbates">
+<span id="ocpapi-workflows-adsorbates"></span><h1>ocpapi.workflows.adsorbates<a class="headerlink" href="#module-ocpapi.workflows.adsorbates" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._CTX_AD_BULK" title="ocpapi.workflows.adsorbates._CTX_AD_BULK"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_CTX_AD_BULK</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._CTX_SLAB" title="ocpapi.workflows.adsorbates._CTX_SLAB"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_CTX_SLAB</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.DEFAULT_CLIENT" title="ocpapi.workflows.adsorbates.DEFAULT_CLIENT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DEFAULT_CLIENT</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._DEFAULT_ADSLAB_FILTER" title="ocpapi.workflows.adsorbates._DEFAULT_ADSLAB_FILTER"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_DEFAULT_ADSLAB_FILTER</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="exceptions">
+<h2>Exceptions<a class="headerlink" href="#exceptions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbatesException" title="ocpapi.workflows.adsorbates.AdsorbatesException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></a></p></td>
+<td><p>Base exception for all others in this module.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.UnsupportedModelException" title="ocpapi.workflows.adsorbates.UnsupportedModelException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedModelException</span></code></a></p></td>
+<td><p>Exception raised when a model is not supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.UnsupportedBulkException" title="ocpapi.workflows.adsorbates.UnsupportedBulkException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedBulkException</span></code></a></p></td>
+<td><p>Exception raised when a bulk material is not supported in the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.UnsupportedAdsorbateException" title="ocpapi.workflows.adsorbates.UnsupportedAdsorbateException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedAdsorbateException</span></code></a></p></td>
+<td><p>Exception raised when an adsorbate is not supported in the API.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.Lifetime" title="ocpapi.workflows.adsorbates.Lifetime"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lifetime</span></code></a></p></td>
+<td><p>Represents different lifetimes when running relaxations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations" title="ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations</span></code></a></p></td>
+<td><p>Stores the relaxations of adsorbate placements on the surface of a slab.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites" title="ocpapi.workflows.adsorbates.AdsorbateBindingSites"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code></a></p></td>
+<td><p>Stores the inputs and results of a set of relaxations of adsorbate</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._setup_log_record_factory" title="ocpapi.workflows.adsorbates._setup_log_record_factory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_setup_log_record_factory</span></code></a>(→ None)</p></td>
+<td><p>Adds a log record factory that stores information about the currently</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._ensure_model_supported" title="ocpapi.workflows.adsorbates._ensure_model_supported"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_ensure_model_supported</span></code></a>(→ None)</p></td>
+<td><p>Checks that the input model is supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._get_bulk_if_supported" title="ocpapi.workflows.adsorbates._get_bulk_if_supported"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_get_bulk_if_supported</span></code></a>(→ fairchem.demo.ocpapi.client.Bulk)</p></td>
+<td><p>Returns the object from the input bulk if it is supported in the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._ensure_adsorbate_supported" title="ocpapi.workflows.adsorbates._ensure_adsorbate_supported"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_ensure_adsorbate_supported</span></code></a>(→ None)</p></td>
+<td><p>Checks that the input adsorbate is supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._get_slabs" title="ocpapi.workflows.adsorbates._get_slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_get_slabs</span></code></a>(→ list[fairchem.demo.ocpapi.client.Slab])</p></td>
+<td><p>Enumerates surfaces for the input bulk material.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab" title="ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_get_absorbate_configs_on_slab</span></code></a>(...)</p></td>
+<td><p>Generate initial guesses at adsorbate binding sites on the input slab.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab_with_logging" title="ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab_with_logging"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_get_absorbate_configs_on_slab_with_logging</span></code></a>(...)</p></td>
+<td><p>Wrapper around _get_absorbate_configs_on_slab that adds logging.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._get_adsorbate_configs_on_slabs" title="ocpapi.workflows.adsorbates._get_adsorbate_configs_on_slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_get_adsorbate_configs_on_slabs</span></code></a>(...)</p></td>
+<td><p>Finds candidate adsorbate binding sites on each of the input slabs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._submit_relaxations" title="ocpapi.workflows.adsorbates._submit_relaxations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_submit_relaxations</span></code></a>(→ str)</p></td>
+<td><p>Start relaxations for each of the input adsorbate configurations on the</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._submit_relaxations_with_progress_logging" title="ocpapi.workflows.adsorbates._submit_relaxations_with_progress_logging"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_submit_relaxations_with_progress_logging</span></code></a>(→ str)</p></td>
+<td><p>Wrapper around _submit_relaxations that adds periodic logging in case</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.get_adsorbate_slab_relaxation_results" title="ocpapi.workflows.adsorbates.get_adsorbate_slab_relaxation_results"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_adsorbate_slab_relaxation_results</span></code></a>(...)</p></td>
+<td><p>Wrapper around Client.get_adsorbate_slab_relaxations_results() that</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.wait_for_adsorbate_slab_relaxations" title="ocpapi.workflows.adsorbates.wait_for_adsorbate_slab_relaxations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wait_for_adsorbate_slab_relaxations</span></code></a>(→ dict[int, ...)</p></td>
+<td><p>Blocks until all relaxations in the input system have finished, whether</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._delete_system" title="ocpapi.workflows.adsorbates._delete_system"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_delete_system</span></code></a>(→ None)</p></td>
+<td><p>Deletes the input system, with retries on failed attempts.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._ensure_system_deleted" title="ocpapi.workflows.adsorbates._ensure_system_deleted"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_ensure_system_deleted</span></code></a>(→ AsyncGenerator[None, None])</p></td>
+<td><p>Immediately yields control to the caller. When control returns to this</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._run_relaxations_on_slab" title="ocpapi.workflows.adsorbates._run_relaxations_on_slab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_run_relaxations_on_slab</span></code></a>(→ AdsorbateSlabRelaxations)</p></td>
+<td><p>Start relaxations for each adsorbate configuration on the input slab</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._refresh_pbar" title="ocpapi.workflows.adsorbates._refresh_pbar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_refresh_pbar</span></code></a>(→ None)</p></td>
+<td><p>Helper function that refreshes the input progress bar on a regular</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates._relax_binding_sites_on_slabs" title="ocpapi.workflows.adsorbates._relax_binding_sites_on_slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_relax_binding_sites_on_slabs</span></code></a>(→ AdsorbateBindingSites)</p></td>
+<td><p>Search for adsorbate binding sites on the input slab.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.find_adsorbate_binding_sites" title="ocpapi.workflows.adsorbates.find_adsorbate_binding_sites"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites</span></code></a>(→ AdsorbateBindingSites)</p></td>
+<td><p>Search for adsorbate binding sites on surfaces of a bulk material.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._CTX_AD_BULK">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_CTX_AD_BULK</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">contextvars.ContextVar</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates._CTX_AD_BULK" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._CTX_SLAB">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_CTX_SLAB</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">contextvars.ContextVar</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.Slab</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates._CTX_SLAB" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._setup_log_record_factory">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_setup_log_record_factory</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._setup_log_record_factory" title="Link to this definition">#</a></dt>
+<dd><p>Adds a log record factory that stores information about the currently
+running job on a log message.</p>
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.DEFAULT_CLIENT">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">DEFAULT_CLIENT</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Client</span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.DEFAULT_CLIENT" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbatesException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">AdsorbatesException</span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbatesException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">Exception</span></code></p>
+<p>Base exception for all others in this module.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.UnsupportedModelException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">UnsupportedModelException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_models</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.adsorbates.UnsupportedModelException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbatesException" title="ocpapi.workflows.adsorbates.AdsorbatesException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></a></p>
+<p>Exception raised when a model is not supported in the API.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.UnsupportedBulkException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">UnsupportedBulkException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.adsorbates.UnsupportedBulkException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbatesException" title="ocpapi.workflows.adsorbates.AdsorbatesException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></a></p>
+<p>Exception raised when a bulk material is not supported in the API.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.UnsupportedAdsorbateException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">UnsupportedAdsorbateException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.adsorbates.UnsupportedAdsorbateException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbatesException" title="ocpapi.workflows.adsorbates.AdsorbatesException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></a></p>
+<p>Exception raised when an adsorbate is not supported in the API.</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.Lifetime">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">Lifetime</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwds</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.adsorbates.Lifetime" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">enum.Enum</span></code></p>
+<p>Represents different lifetimes when running relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.Lifetime.SAVE">
+<span class="sig-name descname"><span class="pre">SAVE</span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates.Lifetime.SAVE" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation will be available on API servers indefinitely. It will not
+be possible to delete the relaxation in the future.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.Lifetime.MARK_EPHEMERAL">
+<span class="sig-name descname"><span class="pre">MARK_EPHEMERAL</span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates.Lifetime.MARK_EPHEMERAL" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation will be saved on API servers, but can be deleted at any time
+in the future.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.Lifetime.DELETE">
+<span class="sig-name descname"><span class="pre">DELETE</span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates.Lifetime.DELETE" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation will be deleted from API servers as soon as the results have
+been fetched.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxations</span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations" title="Link to this definition">#</a></dt>
+<dd><p>Stores the relaxations of adsorbate placements on the surface of a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Slab</span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.slab" title="Link to this definition">#</a></dt>
+<dd><p>The slab on which the adsorbate was placed.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.configs">
+<span class="sig-name descname"><span class="pre">configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabRelaxationResult</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.configs" title="Link to this definition">#</a></dt>
+<dd><p>Details of the relaxation of each adsorbate placement, including the
+final position.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.system_id">
+<span class="sig-name descname"><span class="pre">system_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.system_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the system that stores all of the relaxations.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.api_host">
+<span class="sig-name descname"><span class="pre">api_host</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.api_host" title="Link to this definition">#</a></dt>
+<dd><p>The API host on which the relaxations were run.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.ui_url">
+<span class="sig-name descname"><span class="pre">ui_url</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.ui_url" title="Link to this definition">#</a></dt>
+<dd><p>The URL at which results can be visualized.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateBindingSites">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">AdsorbateBindingSites</span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites" title="Link to this definition">#</a></dt>
+<dd><p>Stores the inputs and results of a set of relaxations of adsorbate
+placements on the surface of a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateBindingSites.adsorbate">
+<span class="sig-name descname"><span class="pre">adsorbate</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Description of the adsorbate.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateBindingSites.bulk">
+<span class="sig-name descname"><span class="pre">bulk</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Bulk</span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.bulk" title="Link to this definition">#</a></dt>
+<dd><p>The bulk material that was being modeled.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateBindingSites.model">
+<span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.model" title="Link to this definition">#</a></dt>
+<dd><p>The type of the model that was run.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.AdsorbateBindingSites.slabs">
+<span class="sig-name descname"><span class="pre">slabs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations" title="ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations"><span class="pre">AdsorbateSlabRelaxations</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.slabs" title="Link to this definition">#</a></dt>
+<dd><p>The list of slabs that were generated from the bulk structure. Each
+contains its own list of adsorbate placements.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._ensure_model_supported">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_ensure_model_supported</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._ensure_model_supported" title="Link to this definition">#</a></dt>
+<dd><p>Checks that the input model is supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making requests to the API.</p></li>
+<li><p><strong>model</strong> – The model to check.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.UnsupportedModelException" title="ocpapi.workflows.adsorbates.UnsupportedModelException"><strong>UnsupportedModelException</strong></a> – If the model is not supported.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._get_bulk_if_supported">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_get_bulk_if_supported</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">fairchem.demo.ocpapi.client.Bulk</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._get_bulk_if_supported" title="Link to this definition">#</a></dt>
+<dd><p>Returns the object from the input bulk if it is supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making requests to the API.</p></li>
+<li><p><strong>bulk</strong> – The bulk to fetch.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.UnsupportedBulkException" title="ocpapi.workflows.adsorbates.UnsupportedBulkException"><strong>UnsupportedBulkException</strong></a> – If the requested bulk is not supported.</p>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Bulk instance for the input type.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._ensure_adsorbate_supported">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_ensure_adsorbate_supported</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._ensure_adsorbate_supported" title="Link to this definition">#</a></dt>
+<dd><p>Checks that the input adsorbate is supported in the API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making requests to the API.</p></li>
+<li><p><strong>adsorbate</strong> – The adsorbate to check.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.UnsupportedAdsorbateException" title="ocpapi.workflows.adsorbates.UnsupportedAdsorbateException"><strong>UnsupportedAdsorbateException</strong></a> – If the adsorbate is not supported.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._get_slabs">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_get_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Bulk</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.Slab</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._get_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Enumerates surfaces for the input bulk material.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making requests to the API.</p></li>
+<li><p><strong>bulk</strong> – The bulk material from which slabs will be generated.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The list of slabs that were generated.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_get_absorbate_configs_on_slab</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Slab</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab" title="Link to this definition">#</a></dt>
+<dd><p>Generate initial guesses at adsorbate binding sites on the input slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>adsorbate</strong> – Description of the adsorbate to place.</p></li>
+<li><p><strong>slab</strong> – The slab on which the adsorbate should be placed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>An updated slab instance that has had tags applied to it and a list
+of Atoms objects, each with the positions of the adsorbate atoms on
+one of the candidate binding sites.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab_with_logging">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_get_absorbate_configs_on_slab_with_logging</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Slab</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab_with_logging" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper around _get_absorbate_configs_on_slab that adds logging.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._get_adsorbate_configs_on_slabs">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_get_adsorbate_configs_on_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.Slab</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._get_adsorbate_configs_on_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Finds candidate adsorbate binding sites on each of the input slabs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>adsorbate</strong> – Description of the adsorbate to place.</p></li>
+<li><p><strong>slabs</strong> – The slabs on which the adsorbate should be placed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>List of slabs and, for each, the positions of the adsorbate
+atoms in the potential binding site.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._submit_relaxations">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_submit_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_configs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.Atoms</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Bulk</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ephemeral</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._submit_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Start relaxations for each of the input adsorbate configurations on the
+input slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>adsorbate</strong> – Description of the adsorbate to place.</p></li>
+<li><p><strong>adsorbate_configs</strong> – Positions of the adsorbate on the slab. Each
+will be relaxed independently.</p></li>
+<li><p><strong>bulk</strong> – The bulk material from which the slab was generated.</p></li>
+<li><p><strong>slab</strong> – The slab that should be searched for adsorbate binding sites.</p></li>
+<li><p><strong>model</strong> – The model to use when evaluating forces and energies.</p></li>
+<li><p><strong>ephemeral</strong> – Whether the relaxations should be marked as ephemeral.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>The system ID of the relaxation run, which can be used to fetch results
+as they become available.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._submit_relaxations_with_progress_logging">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_submit_relaxations_with_progress_logging</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_configs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.Atoms</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Bulk</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ephemeral</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._submit_relaxations_with_progress_logging" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper around _submit_relaxations that adds periodic logging in case
+calls to submit relaxations are being rate limited.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.get_adsorbate_slab_relaxation_results">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">get_adsorbate_slab_relaxation_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config_ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">DEFAULT_CLIENT</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabRelaxationResult</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates.get_adsorbate_slab_relaxation_results" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper around Client.get_adsorbate_slab_relaxations_results() that
+handles retries, including re-fetching individual configurations that
+are initially omitted.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>system_id</strong> – The system ID of the relaxations.</p></li>
+<li><p><strong>config_ids</strong> – If defined and not empty, a subset of configurations
+to fetch. Otherwise all configurations are returned.</p></li>
+<li><p><strong>fields</strong> – If defined and not empty, a subset of fields in each
+configuration to fetch. Otherwise all fields are returned.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>List of relaxation results, one for each adsorbate configuration in
+the system.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.wait_for_adsorbate_slab_relaxations">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">wait_for_adsorbate_slab_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">check_immediately</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slow_interval_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fast_interval_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tqdm.tqdm</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">DEFAULT_CLIENT</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Status</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates.wait_for_adsorbate_slab_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Blocks until all relaxations in the input system have finished, whether
+successfully or not.</p>
+<p>Relaxations are queued in the API, waiting until machines are ready to
+run them. Once started, they can take 1-2 minutes to finish. This method
+initially sleeps “slow_interval_sec” seconds between each check for any
+relaxations having finished. Once at least one result is ready, subsequent
+sleeps are for “fast_interval_sec” seconds.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>system_id</strong> – The ID of the system for which relaxations are running.</p></li>
+<li><p><strong>check_immediately</strong> – If False (default), sleep before the first check
+for relaxations having finished. If True, check whether relaxations
+have finished immediately on entering this function.</p></li>
+<li><p><strong>slow_interval_sec</strong> – The number of seconds to wait between each check
+while all are still running.</p></li>
+<li><p><strong>fast_interval_sec</strong> – The number of seconds to wait between each check
+when at least one relaxation has finished in the system.</p></li>
+<li><p><strong>pbar</strong> – A tqdm instance that tracks the number of configurations that
+have finished. This will be updated with the number of individual
+configurations whose relaxations have finished.</p></li>
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Map of config IDs in the system to their terminal status.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._delete_system">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_delete_system</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._delete_system" title="Link to this definition">#</a></dt>
+<dd><p>Deletes the input system, with retries on failed attempts.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>system_id</strong> – The ID of the system to delete.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._ensure_system_deleted">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_ensure_system_deleted</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">AsyncGenerator</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._ensure_system_deleted" title="Link to this definition">#</a></dt>
+<dd><p>Immediately yields control to the caller. When control returns to this
+function, try to delete the system with the input id.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>system_id</strong> – The ID of the system to delete.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._run_relaxations_on_slab">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_run_relaxations_on_slab</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate_configs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.Atoms</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Bulk</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Slab</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lifetime</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#ocpapi.workflows.adsorbates.Lifetime" title="ocpapi.workflows.adsorbates.Lifetime"><span class="pre">Lifetime</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tqdm.tqdm</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations" title="ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations"><span class="pre">AdsorbateSlabRelaxations</span></a></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._run_relaxations_on_slab" title="Link to this definition">#</a></dt>
+<dd><p>Start relaxations for each adsorbate configuration on the input slab
+and wait for all to finish.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>adsorbate</strong> – Description of the adsorbate to place.</p></li>
+<li><p><strong>adsorbate_configs</strong> – The positions of atoms in each adsorbate placement
+to be relaxed.</p></li>
+<li><p><strong>bulk</strong> – The bulk material from which the slab was generated.</p></li>
+<li><p><strong>slab</strong> – The slab that should be searched for adsorbate binding sites.</p></li>
+<li><p><strong>model</strong> – The model to use when evaluating forces and energies.</p></li>
+<li><p><strong>lifetime</strong> – Whether relaxations should be saved on the server, be marked
+as ephemeral (allowing them to deleted in the future), or deleted
+immediately.</p></li>
+<li><p><strong>pbar</strong> – A progress bar to update as relaxations finish.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Details of each adsorbate placement, including its relaxed position.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._refresh_pbar">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_refresh_pbar</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pbar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tqdm.tqdm</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interval_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._refresh_pbar" title="Link to this definition">#</a></dt>
+<dd><p>Helper function that refreshes the input progress bar on a regular
+schedule. This function never returns; it must be cancelled.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>pbar</strong> – The progress bar to refresh.</p></li>
+<li><p><strong>interval_sec</strong> – The number of seconds to wait between each refresh.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._relax_binding_sites_on_slabs">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_relax_binding_sites_on_slabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Bulk</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lifetime</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#ocpapi.workflows.adsorbates.Lifetime" title="ocpapi.workflows.adsorbates.Lifetime"><span class="pre">Lifetime</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites" title="ocpapi.workflows.adsorbates.AdsorbateBindingSites"><span class="pre">AdsorbateBindingSites</span></a></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates._relax_binding_sites_on_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Search for adsorbate binding sites on the input slab.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>adsorbate</strong> – Description of the adsorbate to place.</p></li>
+<li><p><strong>bulk</strong> – The bulk material from which the slab was generated.</p></li>
+<li><p><strong>adslabs</strong> – The slabs and, for each, the binding sites that should be
+relaxed.</p></li>
+<li><p><strong>model</strong> – The model to use when evaluating forces and energies.</p></li>
+<li><p><strong>lifetime</strong> – Whether relaxations should be saved on the server, be marked
+as ephemeral (allowing them to deleted in the future), or deleted
+immediately.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Details of each adsorbate placement, including its relaxed position.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates._DEFAULT_ADSLAB_FILTER">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">_DEFAULT_ADSLAB_FILTER</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Awaitable</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.workflows.adsorbates._DEFAULT_ADSLAB_FILTER" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.adsorbates.find_adsorbate_binding_sites">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.adsorbates.</span></span><span class="sig-name descname"><span class="pre">find_adsorbate_binding_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'equiformer_v2_31M_s2ef_all_md'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adslab_filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Awaitable</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">_DEFAULT_ADSLAB_FILTER</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">DEFAULT_CLIENT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lifetime</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#ocpapi.workflows.adsorbates.Lifetime" title="ocpapi.workflows.adsorbates.Lifetime"><span class="pre">Lifetime</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">Lifetime.SAVE</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites" title="ocpapi.workflows.adsorbates.AdsorbateBindingSites"><span class="pre">AdsorbateBindingSites</span></a></span></span><a class="headerlink" href="#ocpapi.workflows.adsorbates.find_adsorbate_binding_sites" title="Link to this definition">#</a></dt>
+<dd><p>Search for adsorbate binding sites on surfaces of a bulk material.
+This executes the following steps:</p>
+<blockquote>
+<div><ol class="arabic simple">
+<li><p>Ensure that both the adsorbate and bulk are supported in the
+OCP API.</p></li>
+<li><p>Enumerate unique surfaces from the bulk material.</p></li>
+<li><p>Enumerate likely binding sites for the input adsorbate on each
+of the generated surfaces.</p></li>
+<li><dl class="simple">
+<dt>Filter the list of generated adsorbate/slab (adslab) configurations</dt><dd><p>using the input adslab_filter.</p>
+</dd>
+</dl>
+</li>
+<li><p>Relax each generated surface+adsorbate structure by refining
+atomic positions to minimize forces generated by the input model.</p></li>
+</ol>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate</strong> – Description of the adsorbate to place.</p></li>
+<li><p><strong>bulk</strong> – The ID (typically Materials Project MP ID) of the bulk material
+on which the adsorbate will be placed.</p></li>
+<li><p><strong>model</strong> – The type of the model to use when calculating forces during
+relaxations.</p></li>
+<li><p><strong>adslab_filter</strong> – A function that modifies the set of adsorbate/slab
+configurations that will be relaxed. This can be used to subselect
+slabs and/or adsorbate configurations.</p></li>
+<li><p><strong>client</strong> – The OCP API client to use.</p></li>
+<li><p><strong>lifetime</strong> – Whether relaxations should be saved on the server, be marked
+as ephemeral (allowing them to deleted in the future), or deleted
+immediately.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Details of each adsorbate binding site, including results of relaxing
+to locally-optimized positions using the input model.</p>
+</dd>
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.UnsupportedModelException" title="ocpapi.workflows.adsorbates.UnsupportedModelException"><strong>UnsupportedModelException</strong></a> – If the requested model is not supported.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.UnsupportedBulkException" title="ocpapi.workflows.adsorbates.UnsupportedBulkException"><strong>UnsupportedBulkException</strong></a> – If the requested bulk is not supported.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.workflows.adsorbates.UnsupportedAdsorbateException" title="ocpapi.workflows.adsorbates.UnsupportedAdsorbateException"><strong>UnsupportedAdsorbateException</strong></a> – If the requested adsorbate is not
+supported.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+        },
+        predefinedOutput: true
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._CTX_AD_BULK"><code class="docutils literal notranslate"><span class="pre">_CTX_AD_BULK</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._CTX_SLAB"><code class="docutils literal notranslate"><span class="pre">_CTX_SLAB</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._setup_log_record_factory"><code class="docutils literal notranslate"><span class="pre">_setup_log_record_factory()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.DEFAULT_CLIENT"><code class="docutils literal notranslate"><span class="pre">DEFAULT_CLIENT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbatesException"><code class="docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.UnsupportedModelException"><code class="docutils literal notranslate"><span class="pre">UnsupportedModelException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.UnsupportedBulkException"><code class="docutils literal notranslate"><span class="pre">UnsupportedBulkException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.UnsupportedAdsorbateException"><code class="docutils literal notranslate"><span class="pre">UnsupportedAdsorbateException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.Lifetime"><code class="docutils literal notranslate"><span class="pre">Lifetime</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.Lifetime.SAVE"><code class="docutils literal notranslate"><span class="pre">Lifetime.SAVE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.Lifetime.MARK_EPHEMERAL"><code class="docutils literal notranslate"><span class="pre">Lifetime.MARK_EPHEMERAL</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.Lifetime.DELETE"><code class="docutils literal notranslate"><span class="pre">Lifetime.DELETE</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.api_host"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.api_host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.ui_url"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.ui_url</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.AdsorbateBindingSites.slabs"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._ensure_model_supported"><code class="docutils literal notranslate"><span class="pre">_ensure_model_supported()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_bulk_if_supported"><code class="docutils literal notranslate"><span class="pre">_get_bulk_if_supported()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._ensure_adsorbate_supported"><code class="docutils literal notranslate"><span class="pre">_ensure_adsorbate_supported()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_slabs"><code class="docutils literal notranslate"><span class="pre">_get_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab"><code class="docutils literal notranslate"><span class="pre">_get_absorbate_configs_on_slab()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab_with_logging"><code class="docutils literal notranslate"><span class="pre">_get_absorbate_configs_on_slab_with_logging()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._get_adsorbate_configs_on_slabs"><code class="docutils literal notranslate"><span class="pre">_get_adsorbate_configs_on_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._submit_relaxations"><code class="docutils literal notranslate"><span class="pre">_submit_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._submit_relaxations_with_progress_logging"><code class="docutils literal notranslate"><span class="pre">_submit_relaxations_with_progress_logging()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.get_adsorbate_slab_relaxation_results"><code class="docutils literal notranslate"><span class="pre">get_adsorbate_slab_relaxation_results()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.wait_for_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">wait_for_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._delete_system"><code class="docutils literal notranslate"><span class="pre">_delete_system()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._ensure_system_deleted"><code class="docutils literal notranslate"><span class="pre">_ensure_system_deleted()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._run_relaxations_on_slab"><code class="docutils literal notranslate"><span class="pre">_run_relaxations_on_slab()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._refresh_pbar"><code class="docutils literal notranslate"><span class="pre">_refresh_pbar()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._relax_binding_sites_on_slabs"><code class="docutils literal notranslate"><span class="pre">_relax_binding_sites_on_slabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates._DEFAULT_ADSLAB_FILTER"><code class="docutils literal notranslate"><span class="pre">_DEFAULT_ADSLAB_FILTER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.adsorbates.find_adsorbate_binding_sites"><code class="docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites()</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.context.set_context_var"><code class="docutils literal notranslate"><span class="pre">set_context_var()</span></code></a></li>
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+  <section id="module-ocpapi.workflows.context">
+<span id="ocpapi-workflows-context"></span><h1>ocpapi.workflows.context<a class="headerlink" href="#module-ocpapi.workflows.context" title="Link to this heading">#</a></h1>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.context.set_context_var" title="ocpapi.workflows.context.set_context_var"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_context_var</span></code></a>(→ Generator[None, None, None])</p></td>
+<td><p>Sets the input convext variable to the input value and yields control</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.context.set_context_var">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.context.</span></span><span class="sig-name descname"><span class="pre">set_context_var</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context_var</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">contextvars.ContextVar</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.context.set_context_var" title="Link to this definition">#</a></dt>
+<dd><p>Sets the input convext variable to the input value and yields control
+back to the caller. When control returns to this function, the context
+variable is reset to its original value.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>context_var</strong> – The context variable to set.</p></li>
+<li><p><strong>value</strong> – The value to assign to the variable.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_all_slabs"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_all_slabs.__call__"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices._unique_millers"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices._unique_millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices.__call__"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep._sort_key"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep._sort_key()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep.__call__"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep.__call__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+            </nav>
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-ocpapi.workflows.filter">
+<span id="ocpapi-workflows-filter"></span><h1>ocpapi.workflows.filter<a class="headerlink" href="#module-ocpapi.workflows.filter" title="Link to this heading">#</a></h1>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.filter.keep_all_slabs" title="ocpapi.workflows.filter.keep_all_slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keep_all_slabs</span></code></a></p></td>
+<td><p>Adslab filter than returns all slabs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices" title="ocpapi.workflows.filter.keep_slabs_with_miller_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices</span></code></a></p></td>
+<td><p>Adslab filter that keeps any slabs with the configured miller indices.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep" title="ocpapi.workflows.filter.prompt_for_slabs_to_keep"><code class="xref py py-obj docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep</span></code></a></p></td>
+<td><p>Adslab filter than presents the user with an interactive prompt to choose</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.filter.keep_all_slabs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.filter.</span></span><span class="sig-name descname"><span class="pre">keep_all_slabs</span></span><a class="headerlink" href="#ocpapi.workflows.filter.keep_all_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Adslab filter than returns all slabs.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.workflows.filter.keep_all_slabs.__call__">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.filter.keep_all_slabs.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.filter.keep_slabs_with_miller_indices">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.filter.</span></span><span class="sig-name descname"><span class="pre">keep_slabs_with_miller_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">miller_indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices" title="Link to this definition">#</a></dt>
+<dd><p>Adslab filter that keeps any slabs with the configured miller indices.
+Slabs with other miller indices will be ignored.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.filter.keep_slabs_with_miller_indices._unique_millers">
+<span class="sig-name descname"><span class="pre">_unique_millers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices._unique_millers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.workflows.filter.keep_slabs_with_miller_indices.__call__">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.filter.prompt_for_slabs_to_keep">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.filter.</span></span><span class="sig-name descname"><span class="pre">prompt_for_slabs_to_keep</span></span><a class="headerlink" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep" title="Link to this definition">#</a></dt>
+<dd><p>Adslab filter than presents the user with an interactive prompt to choose
+which of the input slabs to keep.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.workflows.filter.prompt_for_slabs_to_keep._sort_key">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_sort_key</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep._sort_key" title="Link to this definition">#</a></dt>
+<dd><p>Generates a sort key from the input adslab. Returns the miller indices,
+shift, and top/bottom label so that they will be sorted by those values
+in that order.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.workflows.filter.prompt_for_slabs_to_keep.__call__">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_all_slabs"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_all_slabs.__call__"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices._unique_millers"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices._unique_millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.keep_slabs_with_miller_indices.__call__"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep._sort_key"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep._sort_key()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.filter.prompt_for_slabs_to_keep.__call__"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep.__call__()</span></code></a></li>
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+<li class="toctree-l2 current active has-children"><a class="reference internal" href="../index.html">ocpapi</a><details open="open"><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="../client/index.html">ocpapi.client</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../client/client/index.html">ocpapi.client.client</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../client/ui/index.html">ocpapi.client.ui</a></li>
+</ul>
+</details></li>
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+<li class="toctree-l3 current active has-children"><a class="current reference internal" href="#">ocpapi.workflows</a><details open="open"><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="adsorbates/index.html">ocpapi.workflows.adsorbates</a></li>
+<li class="toctree-l4"><a class="reference internal" href="context/index.html">ocpapi.workflows.context</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="retry/index.html">ocpapi.workflows.retry</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../../cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../../cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../../cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
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+<li class="toctree-l1"><a class="reference internal" href="../../../execution_time.html">Notebook execution times</a></li>
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+    <h1>ocpapi.workflows</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exceptions">Exceptions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites.slabs"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.api_host"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.api_host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.ui_url"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.ui_url</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.Lifetime"><code class="docutils literal notranslate"><span class="pre">Lifetime</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.Lifetime.SAVE"><code class="docutils literal notranslate"><span class="pre">Lifetime.SAVE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.Lifetime.MARK_EPHEMERAL"><code class="docutils literal notranslate"><span class="pre">Lifetime.MARK_EPHEMERAL</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.Lifetime.DELETE"><code class="docutils literal notranslate"><span class="pre">Lifetime.DELETE</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.UnsupportedAdsorbateException"><code class="docutils literal notranslate"><span class="pre">UnsupportedAdsorbateException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.UnsupportedBulkException"><code class="docutils literal notranslate"><span class="pre">UnsupportedBulkException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.UnsupportedModelException"><code class="docutils literal notranslate"><span class="pre">UnsupportedModelException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.find_adsorbate_binding_sites"><code class="docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.get_adsorbate_slab_relaxation_results"><code class="docutils literal notranslate"><span class="pre">get_adsorbate_slab_relaxation_results()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.wait_for_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">wait_for_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_all_slabs"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_all_slabs.__call__"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_slabs_with_miller_indices"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_slabs_with_miller_indices._unique_millers"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices._unique_millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_slabs_with_miller_indices.__call__"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.prompt_for_slabs_to_keep"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.prompt_for_slabs_to_keep._sort_key"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep._sort_key()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.prompt_for_slabs_to_keep.__call__"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.NO_LIMIT"><code class="docutils literal notranslate"><span class="pre">NO_LIMIT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.NoLimitType"><code class="docutils literal notranslate"><span class="pre">NoLimitType</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.RateLimitLogging"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.RateLimitLogging.logger"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.logger</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.RateLimitLogging.action"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.action</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry_api_calls"><code class="docutils literal notranslate"><span class="pre">retry_api_calls()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-ocpapi.workflows">
+<span id="ocpapi-workflows"></span><h1>ocpapi.workflows<a class="headerlink" href="#module-ocpapi.workflows" title="Link to this heading">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="adsorbates/index.html">ocpapi.workflows.adsorbates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="context/index.html">ocpapi.workflows.context</a></li>
+<li class="toctree-l1"><a class="reference internal" href="filter/index.html">ocpapi.workflows.filter</a></li>
+<li class="toctree-l1"><a class="reference internal" href="log/index.html">ocpapi.workflows.log</a></li>
+<li class="toctree-l1"><a class="reference internal" href="retry/index.html">ocpapi.workflows.retry</a></li>
+</ul>
+</div>
+</section>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.NO_LIMIT" title="ocpapi.workflows.NO_LIMIT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NO_LIMIT</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.NoLimitType" title="ocpapi.workflows.NoLimitType"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NoLimitType</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="exceptions">
+<h2>Exceptions<a class="headerlink" href="#exceptions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.UnsupportedAdsorbateException" title="ocpapi.workflows.UnsupportedAdsorbateException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedAdsorbateException</span></code></a></p></td>
+<td><p>Exception raised when an adsorbate is not supported in the API.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.UnsupportedBulkException" title="ocpapi.workflows.UnsupportedBulkException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedBulkException</span></code></a></p></td>
+<td><p>Exception raised when a bulk material is not supported in the API.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.UnsupportedModelException" title="ocpapi.workflows.UnsupportedModelException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnsupportedModelException</span></code></a></p></td>
+<td><p>Exception raised when a model is not supported in the API.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.AdsorbateBindingSites" title="ocpapi.workflows.AdsorbateBindingSites"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code></a></p></td>
+<td><p>Stores the inputs and results of a set of relaxations of adsorbate</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.AdsorbateSlabRelaxations" title="ocpapi.workflows.AdsorbateSlabRelaxations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations</span></code></a></p></td>
+<td><p>Stores the relaxations of adsorbate placements on the surface of a slab.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.Lifetime" title="ocpapi.workflows.Lifetime"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lifetime</span></code></a></p></td>
+<td><p>Represents different lifetimes when running relaxations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.keep_all_slabs" title="ocpapi.workflows.keep_all_slabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keep_all_slabs</span></code></a></p></td>
+<td><p>Adslab filter than returns all slabs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.keep_slabs_with_miller_indices" title="ocpapi.workflows.keep_slabs_with_miller_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices</span></code></a></p></td>
+<td><p>Adslab filter that keeps any slabs with the configured miller indices.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.prompt_for_slabs_to_keep" title="ocpapi.workflows.prompt_for_slabs_to_keep"><code class="xref py py-obj docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep</span></code></a></p></td>
+<td><p>Adslab filter than presents the user with an interactive prompt to choose</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.RateLimitLogging" title="ocpapi.workflows.RateLimitLogging"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RateLimitLogging</span></code></a></p></td>
+<td><p>Controls logging when rate limits are hit.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.find_adsorbate_binding_sites" title="ocpapi.workflows.find_adsorbate_binding_sites"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites</span></code></a>(→ AdsorbateBindingSites)</p></td>
+<td><p>Search for adsorbate binding sites on surfaces of a bulk material.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.get_adsorbate_slab_relaxation_results" title="ocpapi.workflows.get_adsorbate_slab_relaxation_results"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_adsorbate_slab_relaxation_results</span></code></a>(...)</p></td>
+<td><p>Wrapper around Client.get_adsorbate_slab_relaxations_results() that</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.wait_for_adsorbate_slab_relaxations" title="ocpapi.workflows.wait_for_adsorbate_slab_relaxations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wait_for_adsorbate_slab_relaxations</span></code></a>(→ dict[int, ...)</p></td>
+<td><p>Blocks until all relaxations in the input system have finished, whether</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.retry_api_calls" title="ocpapi.workflows.retry_api_calls"><code class="xref py py-obj docutils literal notranslate"><span class="pre">retry_api_calls</span></code></a>(→ Any)</p></td>
+<td><p>Decorator with sensible defaults for retrying calls to the OCP API.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="package-contents">
+<h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateBindingSites">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">AdsorbateBindingSites</span></span><a class="headerlink" href="#ocpapi.workflows.AdsorbateBindingSites" title="Link to this definition">#</a></dt>
+<dd><p>Stores the inputs and results of a set of relaxations of adsorbate
+placements on the surface of a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateBindingSites.adsorbate">
+<span class="sig-name descname"><span class="pre">adsorbate</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.AdsorbateBindingSites.adsorbate" title="Link to this definition">#</a></dt>
+<dd><p>Description of the adsorbate.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateBindingSites.bulk">
+<span class="sig-name descname"><span class="pre">bulk</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Bulk</span></em><a class="headerlink" href="#ocpapi.workflows.AdsorbateBindingSites.bulk" title="Link to this definition">#</a></dt>
+<dd><p>The bulk material that was being modeled.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateBindingSites.model">
+<span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.AdsorbateBindingSites.model" title="Link to this definition">#</a></dt>
+<dd><p>The type of the model that was run.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateBindingSites.slabs">
+<span class="sig-name descname"><span class="pre">slabs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#ocpapi.workflows.AdsorbateSlabRelaxations" title="ocpapi.workflows.AdsorbateSlabRelaxations"><span class="pre">AdsorbateSlabRelaxations</span></a><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.workflows.AdsorbateBindingSites.slabs" title="Link to this definition">#</a></dt>
+<dd><p>The list of slabs that were generated from the bulk structure. Each
+contains its own list of adsorbate placements.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateSlabRelaxations">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">AdsorbateSlabRelaxations</span></span><a class="headerlink" href="#ocpapi.workflows.AdsorbateSlabRelaxations" title="Link to this definition">#</a></dt>
+<dd><p>Stores the relaxations of adsorbate placements on the surface of a slab.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateSlabRelaxations.slab">
+<span class="sig-name descname"><span class="pre">slab</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Slab</span></em><a class="headerlink" href="#ocpapi.workflows.AdsorbateSlabRelaxations.slab" title="Link to this definition">#</a></dt>
+<dd><p>The slab on which the adsorbate was placed.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateSlabRelaxations.configs">
+<span class="sig-name descname"><span class="pre">configs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabRelaxationResult</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.workflows.AdsorbateSlabRelaxations.configs" title="Link to this definition">#</a></dt>
+<dd><p>Details of the relaxation of each adsorbate placement, including the
+final position.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateSlabRelaxations.system_id">
+<span class="sig-name descname"><span class="pre">system_id</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.AdsorbateSlabRelaxations.system_id" title="Link to this definition">#</a></dt>
+<dd><p>The ID of the system that stores all of the relaxations.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateSlabRelaxations.api_host">
+<span class="sig-name descname"><span class="pre">api_host</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.AdsorbateSlabRelaxations.api_host" title="Link to this definition">#</a></dt>
+<dd><p>The API host on which the relaxations were run.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.AdsorbateSlabRelaxations.ui_url">
+<span class="sig-name descname"><span class="pre">ui_url</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#ocpapi.workflows.AdsorbateSlabRelaxations.ui_url" title="Link to this definition">#</a></dt>
+<dd><p>The URL at which results can be visualized.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.Lifetime">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">Lifetime</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwds</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.Lifetime" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">enum.Enum</span></code></p>
+<p>Represents different lifetimes when running relaxations.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.Lifetime.SAVE">
+<span class="sig-name descname"><span class="pre">SAVE</span></span><a class="headerlink" href="#ocpapi.workflows.Lifetime.SAVE" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation will be available on API servers indefinitely. It will not
+be possible to delete the relaxation in the future.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.Lifetime.MARK_EPHEMERAL">
+<span class="sig-name descname"><span class="pre">MARK_EPHEMERAL</span></span><a class="headerlink" href="#ocpapi.workflows.Lifetime.MARK_EPHEMERAL" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation will be saved on API servers, but can be deleted at any time
+in the future.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.Lifetime.DELETE">
+<span class="sig-name descname"><span class="pre">DELETE</span></span><a class="headerlink" href="#ocpapi.workflows.Lifetime.DELETE" title="Link to this definition">#</a></dt>
+<dd><p>The relaxation will be deleted from API servers as soon as the results have
+been fetched.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.workflows.UnsupportedAdsorbateException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">UnsupportedAdsorbateException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.UnsupportedAdsorbateException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></p>
+<p>Exception raised when an adsorbate is not supported in the API.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.workflows.UnsupportedBulkException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">UnsupportedBulkException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.UnsupportedBulkException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></p>
+<p>Exception raised when a bulk material is not supported in the API.</p>
+</dd></dl>
+
+<dl class="py exception">
+<dt class="sig sig-object py" id="ocpapi.workflows.UnsupportedModelException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">UnsupportedModelException</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_models</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.UnsupportedModelException" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">AdsorbatesException</span></code></p>
+<p>Exception raised when a model is not supported in the API.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.find_adsorbate_binding_sites">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">find_adsorbate_binding_sites</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adsorbate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bulk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'equiformer_v2_31M_s2ef_all_md'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adslab_filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Awaitable</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">_DEFAULT_ADSLAB_FILTER</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">DEFAULT_CLIENT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lifetime</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#ocpapi.workflows.Lifetime" title="ocpapi.workflows.Lifetime"><span class="pre">Lifetime</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">Lifetime.SAVE</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#ocpapi.workflows.AdsorbateBindingSites" title="ocpapi.workflows.AdsorbateBindingSites"><span class="pre">AdsorbateBindingSites</span></a></span></span><a class="headerlink" href="#ocpapi.workflows.find_adsorbate_binding_sites" title="Link to this definition">#</a></dt>
+<dd><p>Search for adsorbate binding sites on surfaces of a bulk material.
+This executes the following steps:</p>
+<blockquote>
+<div><ol class="arabic simple">
+<li><p>Ensure that both the adsorbate and bulk are supported in the
+OCP API.</p></li>
+<li><p>Enumerate unique surfaces from the bulk material.</p></li>
+<li><p>Enumerate likely binding sites for the input adsorbate on each
+of the generated surfaces.</p></li>
+<li><dl class="simple">
+<dt>Filter the list of generated adsorbate/slab (adslab) configurations</dt><dd><p>using the input adslab_filter.</p>
+</dd>
+</dl>
+</li>
+<li><p>Relax each generated surface+adsorbate structure by refining
+atomic positions to minimize forces generated by the input model.</p></li>
+</ol>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>adsorbate</strong> – Description of the adsorbate to place.</p></li>
+<li><p><strong>bulk</strong> – The ID (typically Materials Project MP ID) of the bulk material
+on which the adsorbate will be placed.</p></li>
+<li><p><strong>model</strong> – The type of the model to use when calculating forces during
+relaxations.</p></li>
+<li><p><strong>adslab_filter</strong> – A function that modifies the set of adsorbate/slab
+configurations that will be relaxed. This can be used to subselect
+slabs and/or adsorbate configurations.</p></li>
+<li><p><strong>client</strong> – The OCP API client to use.</p></li>
+<li><p><strong>lifetime</strong> – Whether relaxations should be saved on the server, be marked
+as ephemeral (allowing them to deleted in the future), or deleted
+immediately.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Details of each adsorbate binding site, including results of relaxing
+to locally-optimized positions using the input model.</p>
+</dd>
+<dt class="field-odd">Raises<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><a class="reference internal" href="#ocpapi.workflows.UnsupportedModelException" title="ocpapi.workflows.UnsupportedModelException"><strong>UnsupportedModelException</strong></a> – If the requested model is not supported.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.workflows.UnsupportedBulkException" title="ocpapi.workflows.UnsupportedBulkException"><strong>UnsupportedBulkException</strong></a> – If the requested bulk is not supported.</p></li>
+<li><p><a class="reference internal" href="#ocpapi.workflows.UnsupportedAdsorbateException" title="ocpapi.workflows.UnsupportedAdsorbateException"><strong>UnsupportedAdsorbateException</strong></a> – If the requested adsorbate is not
+supported.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.get_adsorbate_slab_relaxation_results">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">get_adsorbate_slab_relaxation_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config_ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">DEFAULT_CLIENT</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabRelaxationResult</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.get_adsorbate_slab_relaxation_results" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper around Client.get_adsorbate_slab_relaxations_results() that
+handles retries, including re-fetching individual configurations that
+are initially omitted.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+<li><p><strong>system_id</strong> – The system ID of the relaxations.</p></li>
+<li><p><strong>config_ids</strong> – If defined and not empty, a subset of configurations
+to fetch. Otherwise all configurations are returned.</p></li>
+<li><p><strong>fields</strong> – If defined and not empty, a subset of fields in each
+configuration to fetch. Otherwise all fields are returned.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>List of relaxation results, one for each adsorbate configuration in
+the system.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.wait_for_adsorbate_slab_relaxations">
+<em class="property"><span class="k"><span class="pre">async</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">wait_for_adsorbate_slab_relaxations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">system_id</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">check_immediately</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slow_interval_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fast_interval_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pbar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tqdm.tqdm</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.Client</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">DEFAULT_CLIENT</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">fairchem.demo.ocpapi.client.Status</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.wait_for_adsorbate_slab_relaxations" title="Link to this definition">#</a></dt>
+<dd><p>Blocks until all relaxations in the input system have finished, whether
+successfully or not.</p>
+<p>Relaxations are queued in the API, waiting until machines are ready to
+run them. Once started, they can take 1-2 minutes to finish. This method
+initially sleeps “slow_interval_sec” seconds between each check for any
+relaxations having finished. Once at least one result is ready, subsequent
+sleeps are for “fast_interval_sec” seconds.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>system_id</strong> – The ID of the system for which relaxations are running.</p></li>
+<li><p><strong>check_immediately</strong> – If False (default), sleep before the first check
+for relaxations having finished. If True, check whether relaxations
+have finished immediately on entering this function.</p></li>
+<li><p><strong>slow_interval_sec</strong> – The number of seconds to wait between each check
+while all are still running.</p></li>
+<li><p><strong>fast_interval_sec</strong> – The number of seconds to wait between each check
+when at least one relaxation has finished in the system.</p></li>
+<li><p><strong>pbar</strong> – A tqdm instance that tracks the number of configurations that
+have finished. This will be updated with the number of individual
+configurations whose relaxations have finished.</p></li>
+<li><p><strong>client</strong> – The client to use when making API calls.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Map of config IDs in the system to their terminal status.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.keep_all_slabs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">keep_all_slabs</span></span><a class="headerlink" href="#ocpapi.workflows.keep_all_slabs" title="Link to this definition">#</a></dt>
+<dd><p>Adslab filter than returns all slabs.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.workflows.keep_all_slabs.__call__">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.keep_all_slabs.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.keep_slabs_with_miller_indices">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">keep_slabs_with_miller_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">miller_indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.keep_slabs_with_miller_indices" title="Link to this definition">#</a></dt>
+<dd><p>Adslab filter that keeps any slabs with the configured miller indices.
+Slabs with other miller indices will be ignored.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.keep_slabs_with_miller_indices._unique_millers">
+<span class="sig-name descname"><span class="pre">_unique_millers</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#ocpapi.workflows.keep_slabs_with_miller_indices._unique_millers" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.workflows.keep_slabs_with_miller_indices.__call__">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.keep_slabs_with_miller_indices.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.prompt_for_slabs_to_keep">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">prompt_for_slabs_to_keep</span></span><a class="headerlink" href="#ocpapi.workflows.prompt_for_slabs_to_keep" title="Link to this definition">#</a></dt>
+<dd><p>Adslab filter than presents the user with an interactive prompt to choose
+which of the input slabs to keep.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.workflows.prompt_for_slabs_to_keep._sort_key">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_sort_key</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.prompt_for_slabs_to_keep._sort_key" title="Link to this definition">#</a></dt>
+<dd><p>Generates a sort key from the input adslab. Returns the miller indices,
+shift, and top/bottom label so that they will be sorted by those values
+in that order.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.workflows.prompt_for_slabs_to_keep.__call__">
+<em class="property"><span class="pre">async</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">adslabs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">fairchem.demo.ocpapi.client.AdsorbateSlabConfigs</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#ocpapi.workflows.prompt_for_slabs_to_keep.__call__" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.workflows.NO_LIMIT">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">NO_LIMIT</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">NoLimitType</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#ocpapi.workflows.NO_LIMIT" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.workflows.NoLimitType">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">NoLimitType</span></span><a class="headerlink" href="#ocpapi.workflows.NoLimitType" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.RateLimitLogging">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">RateLimitLogging</span></span><a class="headerlink" href="#ocpapi.workflows.RateLimitLogging" title="Link to this definition">#</a></dt>
+<dd><p>Controls logging when rate limits are hit.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.RateLimitLogging.logger">
+<span class="sig-name descname"><span class="pre">logger</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">logging.Logger</span></em><a class="headerlink" href="#ocpapi.workflows.RateLimitLogging.logger" title="Link to this definition">#</a></dt>
+<dd><p>The logger to use.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.RateLimitLogging.action">
+<span class="sig-name descname"><span class="pre">action</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.RateLimitLogging.action" title="Link to this definition">#</a></dt>
+<dd><p>A short description of the action being attempted.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry_api_calls">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.</span></span><span class="sig-name descname"><span class="pre">retry_api_calls</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_attempts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">NoLimitType</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rate_limit_logging</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#ocpapi.workflows.RateLimitLogging" title="ocpapi.workflows.RateLimitLogging"><span class="pre">RateLimitLogging</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fixed_wait_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_jitter_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#ocpapi.workflows.retry_api_calls" title="Link to this definition">#</a></dt>
+<dd><p>Decorator with sensible defaults for retrying calls to the OCP API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_attempts</strong> – The maximum number of calls to make. If NO_LIMIT,
+retries will be made forever.</p></li>
+<li><p><strong>rate_limit_logging</strong> – If not None, log statements will be generated
+using this configuration when a rate limit is hit.</p></li>
+<li><p><strong>fixed_wait_sec</strong> – The fixed number of seconds to wait when retrying an
+exception that does <em>not</em> include a retry-after value. The default
+value is sensible; this is exposed mostly for testing.</p></li>
+<li><p><strong>max_jitter_sec</strong> – The maximum number of seconds that will be randomly
+added to wait times. The default value is sensible; this is exposed
+mostly for testing.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./autoapi/ocpapi/workflows"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#submodules">Submodules</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites.adsorbate"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.adsorbate</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites.bulk"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.bulk</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites.model"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.model</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateBindingSites.slabs"><code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites.slabs</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.slab"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.slab</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.configs"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.configs</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.system_id"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.system_id</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.api_host"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.api_host</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.AdsorbateSlabRelaxations.ui_url"><code class="docutils literal notranslate"><span class="pre">AdsorbateSlabRelaxations.ui_url</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.Lifetime"><code class="docutils literal notranslate"><span class="pre">Lifetime</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.Lifetime.SAVE"><code class="docutils literal notranslate"><span class="pre">Lifetime.SAVE</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.Lifetime.MARK_EPHEMERAL"><code class="docutils literal notranslate"><span class="pre">Lifetime.MARK_EPHEMERAL</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.Lifetime.DELETE"><code class="docutils literal notranslate"><span class="pre">Lifetime.DELETE</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.UnsupportedAdsorbateException"><code class="docutils literal notranslate"><span class="pre">UnsupportedAdsorbateException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.UnsupportedBulkException"><code class="docutils literal notranslate"><span class="pre">UnsupportedBulkException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.UnsupportedModelException"><code class="docutils literal notranslate"><span class="pre">UnsupportedModelException</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.find_adsorbate_binding_sites"><code class="docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.get_adsorbate_slab_relaxation_results"><code class="docutils literal notranslate"><span class="pre">get_adsorbate_slab_relaxation_results()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.wait_for_adsorbate_slab_relaxations"><code class="docutils literal notranslate"><span class="pre">wait_for_adsorbate_slab_relaxations()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_all_slabs"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_all_slabs.__call__"><code class="docutils literal notranslate"><span class="pre">keep_all_slabs.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_slabs_with_miller_indices"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_slabs_with_miller_indices._unique_millers"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices._unique_millers</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.keep_slabs_with_miller_indices.__call__"><code class="docutils literal notranslate"><span class="pre">keep_slabs_with_miller_indices.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.prompt_for_slabs_to_keep"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.prompt_for_slabs_to_keep._sort_key"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep._sort_key()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.prompt_for_slabs_to_keep.__call__"><code class="docutils literal notranslate"><span class="pre">prompt_for_slabs_to_keep.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.NO_LIMIT"><code class="docutils literal notranslate"><span class="pre">NO_LIMIT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.NoLimitType"><code class="docutils literal notranslate"><span class="pre">NoLimitType</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.RateLimitLogging"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.RateLimitLogging.logger"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.logger</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.RateLimitLogging.action"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.action</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry_api_calls"><code class="docutils literal notranslate"><span class="pre">retry_api_calls()</span></code></a></li>
+</ul>
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+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.RateLimitLogging"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.RateLimitLogging.logger"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.logger</span></code></a></li>
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+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry._wait_check_retry_after"><code class="docutils literal notranslate"><span class="pre">_wait_check_retry_after</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry._wait_check_retry_after._default_wait"><code class="docutils literal notranslate"><span class="pre">_wait_check_retry_after._default_wait</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry._wait_check_retry_after._rate_limit_logging"><code class="docutils literal notranslate"><span class="pre">_wait_check_retry_after._rate_limit_logging</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry._wait_check_retry_after.__call__"><code class="docutils literal notranslate"><span class="pre">_wait_check_retry_after.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.NoLimitType"><code class="docutils literal notranslate"><span class="pre">NoLimitType</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.NO_LIMIT"><code class="docutils literal notranslate"><span class="pre">NO_LIMIT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.retry_api_calls"><code class="docutils literal notranslate"><span class="pre">retry_api_calls()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="module-ocpapi.workflows.retry">
+<span id="ocpapi-workflows-retry"></span><h1>ocpapi.workflows.retry<a class="headerlink" href="#module-ocpapi.workflows.retry" title="Link to this heading">#</a></h1>
+<section id="attributes">
+<h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.retry.NoLimitType" title="ocpapi.workflows.retry.NoLimitType"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NoLimitType</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.retry.NO_LIMIT" title="ocpapi.workflows.retry.NO_LIMIT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NO_LIMIT</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="classes">
+<h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.retry.RateLimitLogging" title="ocpapi.workflows.retry.RateLimitLogging"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RateLimitLogging</span></code></a></p></td>
+<td><p>Controls logging when rate limits are hit.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#ocpapi.workflows.retry._wait_check_retry_after" title="ocpapi.workflows.retry._wait_check_retry_after"><code class="xref py py-obj docutils literal notranslate"><span class="pre">_wait_check_retry_after</span></code></a></p></td>
+<td><p>Tenacity wait strategy that first checks whether RateLimitExceededException</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="functions">
+<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#ocpapi.workflows.retry.retry_api_calls" title="ocpapi.workflows.retry.retry_api_calls"><code class="xref py py-obj docutils literal notranslate"><span class="pre">retry_api_calls</span></code></a>(→ Any)</p></td>
+<td><p>Decorator with sensible defaults for retrying calls to the OCP API.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="module-contents">
+<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry.RateLimitLogging">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.retry.</span></span><span class="sig-name descname"><span class="pre">RateLimitLogging</span></span><a class="headerlink" href="#ocpapi.workflows.retry.RateLimitLogging" title="Link to this definition">#</a></dt>
+<dd><p>Controls logging when rate limits are hit.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry.RateLimitLogging.logger">
+<span class="sig-name descname"><span class="pre">logger</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">logging.Logger</span></em><a class="headerlink" href="#ocpapi.workflows.retry.RateLimitLogging.logger" title="Link to this definition">#</a></dt>
+<dd><p>The logger to use.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry.RateLimitLogging.action">
+<span class="sig-name descname"><span class="pre">action</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#ocpapi.workflows.retry.RateLimitLogging.action" title="Link to this definition">#</a></dt>
+<dd><p>A short description of the action being attempted.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry._wait_check_retry_after">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.retry.</span></span><span class="sig-name descname"><span class="pre">_wait_check_retry_after</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">default_wait</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tenacity.wait.wait_base</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rate_limit_logging</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#ocpapi.workflows.retry.RateLimitLogging" title="ocpapi.workflows.retry.RateLimitLogging"><span class="pre">RateLimitLogging</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#ocpapi.workflows.retry._wait_check_retry_after" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">tenacity.wait.wait_base</span></code></p>
+<p>Tenacity wait strategy that first checks whether RateLimitExceededException
+was raised and that it includes a retry-after value; if so wait, for that
+amount of time. Otherwise, fall back to the provided default strategy.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry._wait_check_retry_after._default_wait">
+<span class="sig-name descname"><span class="pre">_default_wait</span></span><a class="headerlink" href="#ocpapi.workflows.retry._wait_check_retry_after._default_wait" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry._wait_check_retry_after._rate_limit_logging">
+<span class="sig-name descname"><span class="pre">_rate_limit_logging</span></span><a class="headerlink" href="#ocpapi.workflows.retry._wait_check_retry_after._rate_limit_logging" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry._wait_check_retry_after.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">retry_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tenacity.RetryCallState</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#ocpapi.workflows.retry._wait_check_retry_after.__call__" title="Link to this definition">#</a></dt>
+<dd><p>If a RateLimitExceededException was raised and has a retry_after value,
+return it. Otherwise use the default waiter method.</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry.NoLimitType">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.retry.</span></span><span class="sig-name descname"><span class="pre">NoLimitType</span></span><a class="headerlink" href="#ocpapi.workflows.retry.NoLimitType" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py data">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry.NO_LIMIT">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.retry.</span></span><span class="sig-name descname"><span class="pre">NO_LIMIT</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">NoLimitType</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0</span></em><a class="headerlink" href="#ocpapi.workflows.retry.NO_LIMIT" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="ocpapi.workflows.retry.retry_api_calls">
+<span class="sig-prename descclassname"><span class="pre">ocpapi.workflows.retry.</span></span><span class="sig-name descname"><span class="pre">retry_api_calls</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_attempts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">NoLimitType</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rate_limit_logging</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#ocpapi.workflows.retry.RateLimitLogging" title="ocpapi.workflows.retry.RateLimitLogging"><span class="pre">RateLimitLogging</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fixed_wait_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_jitter_sec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#ocpapi.workflows.retry.retry_api_calls" title="Link to this definition">#</a></dt>
+<dd><p>Decorator with sensible defaults for retrying calls to the OCP API.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_attempts</strong> – The maximum number of calls to make. If NO_LIMIT,
+retries will be made forever.</p></li>
+<li><p><strong>rate_limit_logging</strong> – If not None, log statements will be generated
+using this configuration when a rate limit is hit.</p></li>
+<li><p><strong>fixed_wait_sec</strong> – The fixed number of seconds to wait when retrying an
+exception that does <em>not</em> include a retry-after value. The default
+value is sensible; this is exposed mostly for testing.</p></li>
+<li><p><strong>max_jitter_sec</strong> – The maximum number of seconds that will be randomly
+added to wait times. The default value is sensible; this is exposed
+mostly for testing.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
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+            mode: "python"
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+        kernelOptions: {
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+            path: "./autoapi/ocpapi/workflows/retry"
+        },
+        predefinedOutput: true
+    }
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+    <i class="fa-solid fa-list"></i> Contents
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#attributes">Attributes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.RateLimitLogging"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.RateLimitLogging.logger"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.logger</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.RateLimitLogging.action"><code class="docutils literal notranslate"><span class="pre">RateLimitLogging.action</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry._wait_check_retry_after"><code class="docutils literal notranslate"><span class="pre">_wait_check_retry_after</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry._wait_check_retry_after._default_wait"><code class="docutils literal notranslate"><span class="pre">_wait_check_retry_after._default_wait</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry._wait_check_retry_after._rate_limit_logging"><code class="docutils literal notranslate"><span class="pre">_wait_check_retry_after._rate_limit_logging</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry._wait_check_retry_after.__call__"><code class="docutils literal notranslate"><span class="pre">_wait_check_retry_after.__call__()</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.NoLimitType"><code class="docutils literal notranslate"><span class="pre">NoLimitType</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.NO_LIMIT"><code class="docutils literal notranslate"><span class="pre">NO_LIMIT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#ocpapi.workflows.retry.retry_api_calls"><code class="docutils literal notranslate"><span class="pre">retry_api_calls()</span></code></a></li>
+</ul>
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+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Making and using ASE datasets</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#using-an-ase-database">Using an ASE Database</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#using-ase-readable-files">Using ASE-Readable Files</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#single-structure-files">Single-Structure Files</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#multi-structure-files">Multi-structure Files</a></li>
+</ul>
+</li>
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+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="making-and-using-ase-datasets">
+<h1>Making and using ASE datasets<a class="headerlink" href="#making-and-using-ase-datasets" title="Link to this heading">#</a></h1>
+<p>There are multiple ways to train and evaluate FAIRChem models on data other than OC20 and OC22. Writing an LMDB is the most performant option. However, ASE-based dataset formats are also included as a convenience for people with existing data who simply want to try fairchem tools without needing to learn about LMDBs.</p>
+<section id="using-an-ase-database">
+<h2>Using an ASE Database<a class="headerlink" href="#using-an-ase-database" title="Link to this heading">#</a></h2>
+<p>If your data is already in an <a class="reference external" href="https://databases.fysik.dtu.dk/ase/ase/db/db.html">ASE Database</a>, no additional preprocessing is necessary before running training/prediction! Although the ASE DB backends may not be sufficiently high throughput for all use cases, they are generally considered “fast enough” to train on a reasonably-sized dataset with 1-2 GPUs or predict with a single GPU. If you want to effictively utilize more resources than this, please be aware of the potential for this bottleneck and consider writing your data to an LMDB. If your dataset is small enough to fit in CPU memory, use the <code class="docutils literal notranslate"><span class="pre">keep_in_memory:</span> <span class="pre">True</span></code> option to avoid this bottleneck.</p>
+<p>To use this dataset, we will just have to change our config files to use the ASE DB Dataset rather than the LMDB Dataset:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">format</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">ase_db</span>
+<span class="w">  </span><span class="nt">train</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="c1"># The path/address to your ASE DB</span>
+<span class="w">    </span><span class="nt">connect_args</span><span class="p">:</span>
+<span class="w">      </span><span class="c1"># Keyword arguments for ase.db.connect()</span>
+<span class="w">    </span><span class="nt">select_args</span><span class="p">:</span>
+<span class="w">      </span><span class="c1"># Keyword arguments for ase.db.select()</span>
+<span class="w">      </span><span class="c1"># These can be used to query/filter the ASE DB</span>
+<span class="w">    </span><span class="nt">a2g_args</span><span class="p">:</span>
+<span class="w">      </span><span class="nt">r_energy</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">      </span><span class="nt">r_forces</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">      </span><span class="c1"># Set these if you want to train on energy/forces</span>
+<span class="w">      </span><span class="c1"># Energy/force information must be in the ASE DB!</span>
+<span class="w">    </span><span class="nt">keep_in_memory</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">False</span><span class="w"> </span><span class="c1"># Keeping the dataset in memory reduces random reads and is extremely fast, but this is only feasible for relatively small datasets!</span>
+<span class="w">    </span><span class="nt">include_relaxed_energy</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">False</span><span class="w"> </span><span class="c1"># Read the last structure&#39;s energy and save as &quot;y_relaxed&quot; for IS2RE-Direct training</span>
+<span class="w">  </span><span class="nt">val</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">a2g_args</span><span class="p">:</span>
+<span class="w">      </span><span class="nt">r_energy</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">      </span><span class="nt">r_forces</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">  </span><span class="nt">test</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">a2g_args</span><span class="p">:</span>
+<span class="w">      </span><span class="nt">r_energy</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">False</span>
+<span class="w">      </span><span class="nt">r_forces</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">False</span>
+<span class="w">      </span><span class="c1"># It is not necessary to have energy or forces if you are just making predictions.</span>
+</pre></div>
+</div>
+</section>
+<section id="using-ase-readable-files">
+<h2>Using ASE-Readable Files<a class="headerlink" href="#using-ase-readable-files" title="Link to this heading">#</a></h2>
+<p>It is possible to train/predict directly on ASE-readable files. This is only recommended for smaller datasets, as directories of many small files do not scale efficiently on all computing infrastructures. There are two options for loading data with the ASE reader:</p>
+<section id="single-structure-files">
+<h3>Single-Structure Files<a class="headerlink" href="#single-structure-files" title="Link to this heading">#</a></h3>
+<p>This dataset assumes a single structure will be obtained from each file:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">format</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">ase_read</span>
+<span class="w">  </span><span class="nt">train</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="c1"># The folder that contains ASE-readable files</span>
+<span class="w">    </span><span class="nt">pattern</span><span class="p">:</span><span class="w"> </span><span class="c1"># Pattern matching each file you want to read (e.g. &quot;*/POSCAR&quot;). Search recursively with two wildcards: &quot;**/*.cif&quot;.</span>
+<span class="w">    </span><span class="nt">include_relaxed_energy</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">False</span><span class="w"> </span><span class="c1"># Read the last structure&#39;s energy and save as &quot;y_relaxed&quot; for IS2RE-Direct training</span>
+
+<span class="w">    </span><span class="nt">ase_read_args</span><span class="p">:</span>
+<span class="w">      </span><span class="c1"># Keyword arguments for ase.io.read()</span>
+<span class="w">    </span><span class="nt">a2g_args</span><span class="p">:</span>
+<span class="w">      </span><span class="c1"># Include energy and forces for training purposes</span>
+<span class="w">      </span><span class="c1"># If True, the energy/forces must be readable from the file (ex. OUTCAR)</span>
+<span class="w">      </span><span class="nt">r_energy</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">      </span><span class="nt">r_forces</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">    </span><span class="nt">keep_in_memory</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">False</span>
+</pre></div>
+</div>
+</section>
+<section id="multi-structure-files">
+<h3>Multi-structure Files<a class="headerlink" href="#multi-structure-files" title="Link to this heading">#</a></h3>
+<p>This dataset supports reading files that each contain multiple structure (for example, an ASE .traj file). Using an index file, which tells the dataset how many structures each file contains, is recommended. Otherwise, the dataset is forced to load every file at startup and count the number of structures!</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">format</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">ase_read_multi</span>
+<span class="w">  </span><span class="nt">train</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">index_file: Filepath to an index file which contains each filename and the number of structures in each file. e.g.</span><span class="p">:</span>
+<span class="w">            </span><span class="l l-Scalar l-Scalar-Plain">/path/to/relaxation1.traj 200</span>
+<span class="w">            </span><span class="l l-Scalar l-Scalar-Plain">/path/to/relaxation2.traj 150</span>
+<span class="w">            </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+
+<span class="w">    </span><span class="c1"># If using an index file, the src and pattern are not necessary</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="c1"># The folder that contains ASE-readable files</span>
+<span class="w">    </span><span class="nt">pattern</span><span class="p">:</span><span class="w"> </span><span class="c1"># Pattern matching each file you want to read (e.g. &quot;*.traj&quot;). Search recursively with two wildcards: &quot;**/*.xyz&quot;.</span>
+
+<span class="w">    </span><span class="nt">ase_read_args</span><span class="p">:</span>
+<span class="w">      </span><span class="c1"># Keyword arguments for ase.io.read()</span>
+<span class="w">    </span><span class="nt">a2g_args</span><span class="p">:</span>
+<span class="w">      </span><span class="c1"># Include energy and forces for training purposes</span>
+<span class="w">      </span><span class="nt">r_energy</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">      </span><span class="nt">r_forces</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">    </span><span class="nt">keep_in_memory</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">False</span>
+</pre></div>
+</div>
+</section>
+</section>
+</section>
+
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Open Catalyst 2020 (OC20)</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Open Catalyst 2020 (OC20)</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#download-and-preprocess-the-dataset">Download and preprocess the dataset</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-energy-and-forces-s2ef-task">Structure to Energy and Forces (S2EF) task</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-energy-is2re-tasks">Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Energy (IS2RE) tasks</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#relaxation-trajectories">Relaxation Trajectories</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbate-catalyst-system-trajectories-optional-download">Adsorbate+catalyst system trajectories (optional download)</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#per-adsorbate-trajectories-optional-download">Per-adsorbate trajectories (optional download)</a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#catalyst-system-trajectories-optional-download">Catalyst system trajectories (optional download)</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#bader-charge-data">Bader charge data</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#oc20-mappings">OC20 mappings</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data-mapping-information">Data mapping information</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbate-catalyst-system-to-catalyst-system-mapping-information">Adsorbate-catalyst system to catalyst system mapping information</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#dataset-changelog">Dataset changelog</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#september-2021">September 2021</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#march-2021">March 2021</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#version-2-feb-2021">Version 2, Feb 2021</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#version-1-oct-2020">Version 1, Oct 2020</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-oc20">Citing OC20</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#per-adsorbate-trajectories">Per-adsorbate trajectories</a></li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="open-catalyst-2020-oc20">
+<h1>Open Catalyst 2020 (OC20)<a class="headerlink" href="#open-catalyst-2020-oc20" title="Link to this heading">#</a></h1>
+<p><em>NOTE: Data files for all tasks / splits were updated on Feb 10, 2021 due to minor bugs (affecting &lt; 1% of the data) in earlier versions. If you downloaded data before Feb 10, 2021, please re-download the data.</em></p>
+<section id="download-and-preprocess-the-dataset">
+<h2>Download and preprocess the dataset<a class="headerlink" href="#download-and-preprocess-the-dataset" title="Link to this heading">#</a></h2>
+<p>IS2* datasets are stored as LMDB files and are ready to be used upon download.
+S2EF train+val datasets require an additional preprocessing step.</p>
+<p>For convenience, a self-contained script can be found <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/scripts/download_data.py">here</a> to download, preprocess, and organize the data directories to be readily usable by the existing <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/src/fairchem/core/configs">configs</a>.</p>
+<p>For IS2*, run the script as:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">scripts</span><span class="o">/</span><span class="n">download_data</span><span class="o">.</span><span class="n">py</span> <span class="o">--</span><span class="n">task</span> <span class="n">is2re</span>
+</pre></div>
+</div>
+<p>For S2EF train/val, run the script as:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">scripts</span><span class="o">/</span><span class="n">download_data</span><span class="o">.</span><span class="n">py</span> <span class="o">--</span><span class="n">task</span> <span class="n">s2ef</span> <span class="o">--</span><span class="n">split</span> <span class="n">SPLIT_SIZE</span> <span class="o">--</span><span class="n">get</span><span class="o">-</span><span class="n">edges</span> <span class="o">--</span><span class="n">num</span><span class="o">-</span><span class="n">workers</span> <span class="n">WORKERS</span> <span class="o">--</span><span class="n">ref</span><span class="o">-</span><span class="n">energy</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">--split</span></code>: split size to download: <code class="docutils literal notranslate"><span class="pre">&quot;200k&quot;,</span> <span class="pre">&quot;2M&quot;,</span> <span class="pre">&quot;20M&quot;,</span> <span class="pre">&quot;all&quot;,</span> <span class="pre">&quot;val_id&quot;,</span> <span class="pre">&quot;val_ood_ads&quot;,</span> <span class="pre">&quot;val_ood_cat&quot;,</span> <span class="pre">or</span> <span class="pre">&quot;val_ood_both&quot;</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">--get-edges</span></code>: includes edge information in LMDBs (~10x storage requirement, ~3-5x slowdown), otherwise, compute edges on the fly (larger GPU memory requirement).</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">--num-workers</span></code>: number of workers to parallelize preprocessing across.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">--ref-energy</span></code>: uses referenced energies instead of raw energies.</p></li>
+</ul>
+<p>For S2EF test, run the script as:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">scripts</span><span class="o">/</span><span class="n">download_data</span><span class="o">.</span><span class="n">py</span> <span class="o">--</span><span class="n">task</span> <span class="n">s2ef</span> <span class="o">--</span><span class="n">split</span> <span class="n">test</span>
+</pre></div>
+</div>
+<p>To download and process the dataset in a directory other than your local <code class="docutils literal notranslate"><span class="pre">fairchem/data</span></code> folder, add the following command line argument <code class="docutils literal notranslate"><span class="pre">--data-path</span></code>.</p>
+<p>Note that the baseline <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/src/fairchem/core/configs">configs</a>
+expect the data to be found in <code class="docutils literal notranslate"><span class="pre">fairchem/data</span></code>, make sure you symlink your directory or
+modify the paths in the configs accordingly.</p>
+<p>The following sections list dataset download links and sizes for various S2EF
+and IS2RE/IS2RS task splits. If you used the above <code class="docutils literal notranslate"><span class="pre">download_data.py</span></code> script to
+download and preprocess the data, you are good to go and can stop reading here!</p>
+</section>
+<section id="structure-to-energy-and-forces-s2ef-task">
+<h2>Structure to Energy and Forces (S2EF) task<a class="headerlink" href="#structure-to-energy-and-forces-s2ef-task" title="Link to this heading">#</a></h2>
+<p>For this task’s train and validation sets, we provide compressed trajectory files with the input structures and output energies and forces.  We provide precomputed LMDBs for the test sets. To use the train and validation datasets, first download the files and uncompress them. The uncompressed files are used to generate LMDBs, which are in turn used by the dataloaders to train the ML models. Code for the dataloaders and generating the LMDBs may be found in the Github repository.</p>
+<p>Four training datasets are provided with different sizes. Each is a subset of the other, i.e., the 2M dataset is contained in the 20M and all datasets.</p>
+<p>Four datasets are provided for validation set. Each dataset corresponds to a subsplit used to evaluate different types of extrapolation, in domain (id, same distribution as the training dataset), out of domain adsorbate (ood_ads, unseen adsorbate), out of domain catalyst (ood_cat, unseen catalyst composition), and out of domain both (ood_both, unseen adsorbate and catalyst composition).</p>
+<p>For the test sets, we provide precomputed LMDBs for each of the 4 subsplits (In Domain, OOD Adsorbate, OOD Catalyst, OOD Both).</p>
+<p>Each tarball has a README file containing details about file formats, number of structures / trajectories, etc.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Train</p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p>all</p></td>
+<td><p>225G</p></td>
+<td><p>1.1T</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_train_all.tar">12a7087bfd189a06ccbec9bc7add2bcd</a></p></td>
+</tr>
+<tr class="row-even"><td><p>20M</p></td>
+<td><p>34G</p></td>
+<td><p>165G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_train_20M.tar">863bc983245ffc0285305a1850e19cf7</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>2M</p></td>
+<td><p>3.4G</p></td>
+<td><p>17G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_train_2M.tar">953474cb93f0b08cdc523399f03f7c36</a></p></td>
+</tr>
+<tr class="row-even"><td><p>200K</p></td>
+<td><p>344M</p></td>
+<td><p>1.7G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_train_200K.tar">f8d0909c2623a393148435dede7d3a46</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p>Validation</p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p>val_id</p></td>
+<td><p>1.7G</p></td>
+<td><p>8.3G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_val_id.tar">f57f7f5c1302637940f2cc858e789410</a></p></td>
+</tr>
+<tr class="row-even"><td><p>val_ood_ads</p></td>
+<td><p>1.7G</p></td>
+<td><p>8.2G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_val_ood_ads.tar">431ab0d7557a4639605ba8b67793f053</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>val_ood_cat</p></td>
+<td><p>1.7G</p></td>
+<td><p>8.3G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_val_ood_cat.tar">532d6cd1fe541a0ddb0aa0f99962b7db</a></p></td>
+</tr>
+<tr class="row-even"><td><p>val_ood_both</p></td>
+<td><p>1.9G</p></td>
+<td><p>9.5G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_val_ood_both.tar">5731862978d80502bbf7017d68c2c729</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p>Test (LMDBs for all splits)</p></td>
+<td><p>30G</p></td>
+<td><p>415G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_test_lmdbs.tar.gz">bcada432482f6e87b24e14b6b744992a</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p>Rattled data</p></td>
+<td><p>29G</p></td>
+<td><p>136G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_rattled.tar">40431149b27b64ce1fb40cac4e2e064b</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p>MD data</p></td>
+<td><p>42G</p></td>
+<td><p>306G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/s2ef_md.tar">9fed845aaab8fb4bf85e3a8db57796e0</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-energy-is2re-tasks">
+<h2>Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Energy (IS2RE) tasks<a class="headerlink" href="#initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-energy-is2re-tasks" title="Link to this heading">#</a></h2>
+<p>For the IS2RS and IS2RE tasks, we are providing:</p>
+<ul class="simple">
+<li><p>One <code class="docutils literal notranslate"><span class="pre">.tar.gz</span></code> file with precomputed LMDBs which once downloaded and uncompressed, can be used directly to train ML models. The LMDBs contain the input initial structures and the output relaxed structures and energies. Training datasets are split by size, with each being a subset of the larger splits, similar to S2EF. The validation and test datasets are broken into subsplits based on different extrapolation evaluations (In Domain, OOD Adsorbate, OOD Catalyst, OOD Both).</p></li>
+<li><p>underlying ASE relaxation trajectories for the adsorbate+catalyst in the entire training and validation sets for the IS2RE and IS2RS tasks. These are <strong>not</strong> required to download for training ML models, but are available for interested users.</p></li>
+</ul>
+<p>Each tarball has README file containing details about file formats, number of structures / trajectories, etc.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Train (all splits) + Validation (all splits) + test (all splits)</p></td>
+<td><p>8.1G</p></td>
+<td><p>97G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/is2res_train_val_test_lmdbs.tar.gz">cfc04dd2f87b4102ab2f607240d25fb1</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>Test-challenge 2021 (<a class="reference external" href="https://opencatalystproject.org/challenge.html">challenge details</a>)</p></td>
+<td><p>1.3G</p></td>
+<td><p>17G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/is2re_test_challenge_2021.tar.gz">aed414cdd240fbb5670b5de6887a138b</a></p></td>
+</tr>
+<tr class="row-even"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="relaxation-trajectories">
+<h2>Relaxation Trajectories<a class="headerlink" href="#relaxation-trajectories" title="Link to this heading">#</a></h2>
+<section id="adsorbate-catalyst-system-trajectories-optional-download">
+<h3>Adsorbate+catalyst system trajectories (optional download)<a class="headerlink" href="#adsorbate-catalyst-system-trajectories-optional-download" title="Link to this heading">#</a></h3>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Split</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>All IS2RE/S training (~466k trajectories)</p></td>
+<td><p>109G</p></td>
+<td><p>841G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/is2res_train_trajectories.tar">9e3ed4d1e497bfdce4472ee70455edef</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p>IS2RE/S Validation</p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p>val_id (~25K trajectories)</p></td>
+<td><p>5.9G</p></td>
+<td><p>46G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/is2res_val_id_trajectories.tar">fcb71363018fb1e7127db2500e39e11a</a></p></td>
+</tr>
+<tr class="row-even"><td><p>val_ood_ads (~25K trajectories)</p></td>
+<td><p>5.7G</p></td>
+<td><p>44G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/is2res_val_ood_ads_trajectories.tar">5ced8ea84584aa229d31e693e0fb090f</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>val_ood_cat (~25K trajectories)</p></td>
+<td><p>6.0G</p></td>
+<td><p>46G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/is2res_val_ood_cat_trajectories.tar">88dcc02fd8c174a72d2c416878fc44ff</a></p></td>
+</tr>
+<tr class="row-even"><td><p>val_ood_both (~25K trajectories)</p></td>
+<td><p>4.4G</p></td>
+<td><p>35G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/is2res_val_ood_both_trajectories.tar">bc74b6474a13542cc56eaa97bd51adfc</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<section id="per-adsorbate-trajectories-optional-download">
+<h4>Per-adsorbate trajectories (optional download)<a class="headerlink" href="#per-adsorbate-trajectories-optional-download" title="Link to this heading">#</a></h4>
+<p>Download links are in the table below:</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Adsorbate symbol</p></th>
+<th class="head"><p>Downloadable path</p></th>
+<th class="head"><p>size</p></th>
+<th class="head"><p>MD5 checksum</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>*O</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/0.tar</p></td>
+<td><p>1006M</p></td>
+<td><p>d4151542856b4b6405f276808f75358a</p></td>
+</tr>
+<tr class="row-odd"><td><p>*H</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/1.tar</p></td>
+<td><p>850M</p></td>
+<td><p>3697f04faf04251a23da8b88a78209f7</p></td>
+</tr>
+<tr class="row-even"><td><p>*OH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/2.tar</p></td>
+<td><p>1.6G</p></td>
+<td><p>a21081f3f55eb0c98a91021bbe3dac44</p></td>
+</tr>
+<tr class="row-odd"><td><p>*OH2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/3.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>b12b706854f5d899e02a9ae6578b5d45</p></td>
+</tr>
+<tr class="row-even"><td><p>*C</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/4.tar</p></td>
+<td><p>1.1G</p></td>
+<td><p>e4fe9890764fcf59e01e3ceab089b978</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/6.tar</p></td>
+<td><p>1.4G</p></td>
+<td><p>ec9aa2c4c4bd4419359438ba7fbb881d</p></td>
+</tr>
+<tr class="row-even"><td><p>*CHO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/7.tar</p></td>
+<td><p>1.4G</p></td>
+<td><p>d32200f74ad5c3bfd42e8835f36d57ab</p></td>
+</tr>
+<tr class="row-odd"><td><p>*COH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/8.tar</p></td>
+<td><p>1.6G</p></td>
+<td><p>5418a1b331f6c7689a5405cca4cc8d15</p></td>
+</tr>
+<tr class="row-even"><td><p>*CH2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/9.tar</p></td>
+<td><p>1.6G</p></td>
+<td><p>8ee1066149c305d7c17c219b369c5a73</p></td>
+</tr>
+<tr class="row-odd"><td><p><em>CH2</em>O</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/10.tar</p></td>
+<td><p>1.7G</p></td>
+<td><p>960c2450814024b66f3c79121179ac60</p></td>
+</tr>
+<tr class="row-even"><td><p>*CHOH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/11.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>60ac9f965f9589a3389483e3d1e58144</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/12.tar</p></td>
+<td><p>1.7G</p></td>
+<td><p>7e123e6f4fb10d6897be3f47721dfd4a</p></td>
+</tr>
+<tr class="row-even"><td><p>*OCH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/13.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>0823047bbbe05fa0e63f9d83ec601487</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CH2OH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/14.tar</p></td>
+<td><p>1.9G</p></td>
+<td><p>9ac71e198d75b1427182cd34abb73e4d</p></td>
+</tr>
+<tr class="row-even"><td><p>*CH4</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/15.tar</p></td>
+<td><p>1.9G</p></td>
+<td><p>a405ce403018bf8afbd4425d5c0b34d5</p></td>
+</tr>
+<tr class="row-odd"><td><p>*OHCH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/16.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>d3c829f1952db6e4f428273ee05f59b1</p></td>
+</tr>
+<tr class="row-even"><td><p><em>C</em>C</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/17.tar</p></td>
+<td><p>1.5G</p></td>
+<td><p>d687a151345305897b9245af4b0f9967</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CCO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/18.tar</p></td>
+<td><p>1.7G</p></td>
+<td><p>214ca96e620c5ec6e8a6ff8144a22a04</p></td>
+</tr>
+<tr class="row-even"><td><p>*CCH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/19.tar</p></td>
+<td><p>1.6G</p></td>
+<td><p>da2268545e80ca1664026449dd2fdd24</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHCO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/20.tar</p></td>
+<td><p>1.7G</p></td>
+<td><p>386c99407fe63080d26cda525dfdd8cd</p></td>
+</tr>
+<tr class="row-even"><td><p>*CCHO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/21.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>918b20960438494ab160a9dbd9668157</p></td>
+</tr>
+<tr class="row-odd"><td><p>*COCHO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/22.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>84424aa2ad30301e23ece1438ea39923</p></td>
+</tr>
+<tr class="row-even"><td><p>*CCHOH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/23.tar</p></td>
+<td><p>2.0G</p></td>
+<td><p>3cc90425ec042a70085ba7eb2916a79a</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CCH2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/24.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>9dbcf7566e40965dd7f8a186a75a718e</p></td>
+</tr>
+<tr class="row-even"><td><p><em>CH</em>CH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/25.tar</p></td>
+<td><p>1.7G</p></td>
+<td><p>a193b4c72f915ba0b21a41790696b23c</p></td>
+</tr>
+<tr class="row-odd"><td><p>CH2*CO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/26.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>de83cf50247f5556fa4f9f64beff1eeb</p></td>
+</tr>
+<tr class="row-even"><td><p>*CHCHO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/27.tar</p></td>
+<td><p>1.9G</p></td>
+<td><p>1d140aaa2e7b287124ab38911a711d70</p></td>
+</tr>
+<tr class="row-odd"><td><p><em>CH</em>COH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/28.tar</p></td>
+<td><p>1.3G</p></td>
+<td><p>682d8a6b05ca5948b34dc5e5f6bbcd61</p></td>
+</tr>
+<tr class="row-even"><td><p>*COCH2O</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/29.tar</p></td>
+<td><p>1.9G</p></td>
+<td><p>c8742faa8ca40e8edb4110069817fa70</p></td>
+</tr>
+<tr class="row-odd"><td><p><em>CHO</em>CHO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/30.tar</p></td>
+<td><p>2.0G</p></td>
+<td><p>8cfbb67beb312b98c40fcb891dfa480a</p></td>
+</tr>
+<tr class="row-even"><td><p>*COHCHO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/31.tar</p></td>
+<td><p>1.9G</p></td>
+<td><p>6ffa903a62d8ec3319ecec6a03b06276</p></td>
+</tr>
+<tr class="row-odd"><td><p>*COHCOH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/32.tar</p></td>
+<td><p>2.0G</p></td>
+<td><p>caca0058b641bfdc9f8de4527e60feb7</p></td>
+</tr>
+<tr class="row-even"><td><p>*CCH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/33.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>906543aaefc171edab388ff4f0fe8a20</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHCH2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/34.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>4dfab479495f76179749c1956046fbd8</p></td>
+</tr>
+<tr class="row-even"><td><p>*COCH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/35.tar</p></td>
+<td><p>1.9G</p></td>
+<td><p>29d1b992715054e920e8bb2afe97b393</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHCHOH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/38.tar</p></td>
+<td><p>2.0G</p></td>
+<td><p>9e5912df6f7b11706d1046cdb9e3087e</p></td>
+</tr>
+<tr class="row-even"><td><p>*CCH2OH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/39.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>7bcae43cee451306e34ec416588a7f09</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHOCHOH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/40.tar</p></td>
+<td><p>2.0G</p></td>
+<td><p>f98866d08fe3451ae7ebc47bb51599aa</p></td>
+</tr>
+<tr class="row-even"><td><p>*COCH2OH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/41.tar</p></td>
+<td><p>1.4G</p></td>
+<td><p>bfaf689e5827fcf26c51e567bb8dd1be</p></td>
+</tr>
+<tr class="row-odd"><td><p>*COHCHOH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/42.tar</p></td>
+<td><p>2.0G</p></td>
+<td><p>236fe4e950aa2fbdde94ef2821fb48d2</p></td>
+</tr>
+<tr class="row-even"><td><p>*OCHCH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/44.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>66acc5460a999625c3364f0f3bcca871</p></td>
+</tr>
+<tr class="row-odd"><td><p>*COHCH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/45.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>bb4a01956736399c8cee5e219f8c1229</p></td>
+</tr>
+<tr class="row-even"><td><p>*CHOHCH2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/46.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>e836de4ec146b1b611533f1ef682cace</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHCH2OH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/47.tar</p></td>
+<td><p>2.0G</p></td>
+<td><p>66df44121806debef6dc038df7115d1d</p></td>
+</tr>
+<tr class="row-even"><td><p>*OCH2CHOH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/48.tar</p></td>
+<td><p>2.2G</p></td>
+<td><p>ff6981fdbcd2e65d351505c15d218d76</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHOCH2OH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/49.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>448f7d352ab6e32f754e24de64ca302a</p></td>
+</tr>
+<tr class="row-even"><td><p>*COHCH2OH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/50.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>8bff6bf3e10cc84acc4a283a375fcc23</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHOHCHOH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/51.tar</p></td>
+<td><p>2.0G</p></td>
+<td><p>9c9e4d617d306751760a80f1453e71f1</p></td>
+</tr>
+<tr class="row-even"><td><p>*CH2CH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/52.tar</p></td>
+<td><p>2.0G</p></td>
+<td><p>ec1e964d2ee6f468fa5773743e3994a4</p></td>
+</tr>
+<tr class="row-odd"><td><p>*OCH2CH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/53.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>d297b27b02822f9b6af80bdb64aee819</p></td>
+</tr>
+<tr class="row-even"><td><p>*CHOHCH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/54.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>368de083dafdc3bbdb560d35e2a102c0</p></td>
+</tr>
+<tr class="row-odd"><td><p>*CH2CH2OH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/55.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>3c1aaf790659f7ff89bf1eed8b396b63</p></td>
+</tr>
+<tr class="row-even"><td><p>*CHOHCH2OH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/56.tar</p></td>
+<td><p>2.2G</p></td>
+<td><p>2d71adb9e305e6f3bca49e5df9b5a86a</p></td>
+</tr>
+<tr class="row-odd"><td><p>*OHCH2CH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/57.tar</p></td>
+<td><p>2.3G</p></td>
+<td><p>cf51128f8522b7b66fc68d79980d6def</p></td>
+</tr>
+<tr class="row-even"><td><p>*NH2N(CH3)2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/58.tar</p></td>
+<td><p>1.6G</p></td>
+<td><p>36ba974d80c20ff636431f7c0ad225da</p></td>
+</tr>
+<tr class="row-odd"><td><p>*ONN(CH3)2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/59.tar</p></td>
+<td><p>2.3G</p></td>
+<td><p>fdc4cd19977496909d61be4aee61c4f1</p></td>
+</tr>
+<tr class="row-even"><td><p>*OHNNCH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/60.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>50a6ff098f9ba7adbba9ac115726cc5a</p></td>
+</tr>
+<tr class="row-odd"><td><p>*ONH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/62.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>47573199c545afe46c554ff756c3e38f</p></td>
+</tr>
+<tr class="row-even"><td><p>*NHNH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/63.tar</p></td>
+<td><p>1.7G</p></td>
+<td><p>dd456b7e19ef592d9f0308d911b91d7c</p></td>
+</tr>
+<tr class="row-odd"><td><p><em>N</em>NH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/65.tar</p></td>
+<td><p>1.6G</p></td>
+<td><p>c05289fd56d64c74306ebf57f1061318</p></td>
+</tr>
+<tr class="row-even"><td><p>*NO2NO2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/67.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>4822a06f6c5f41bdefd3cbbd8856c11f</p></td>
+</tr>
+<tr class="row-odd"><td><p><em>N</em>NO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/68.tar</p></td>
+<td><p>1.6G</p></td>
+<td><p>2a27de122d32917cc5b6ac0a21c63c1c</p></td>
+</tr>
+<tr class="row-even"><td><p>*N2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/69.tar</p></td>
+<td><p>1.5G</p></td>
+<td><p>cc668fecf679b6edaac8fd8fb9cdd404</p></td>
+</tr>
+<tr class="row-odd"><td><p>*ONNH2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/70.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>dff880f1a5baa7f67b52fd3ed745443d</p></td>
+</tr>
+<tr class="row-even"><td><p>*NH2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/71.tar</p></td>
+<td><p>1.6G</p></td>
+<td><p>c7f383b50faa6244e265c9611466cb8f</p></td>
+</tr>
+<tr class="row-odd"><td><p>*NH3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/72.tar</p></td>
+<td><p>1.9G</p></td>
+<td><p>2b355741f9300445703270e0e4b8c01c</p></td>
+</tr>
+<tr class="row-even"><td><p>*NONH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/73.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>48877a0c6f2994baac82cb722711aaa2</p></td>
+</tr>
+<tr class="row-odd"><td><p>*NH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/74.tar</p></td>
+<td><p>1.4G</p></td>
+<td><p>7979b9e7ab557d6979b33e352486f0ef</p></td>
+</tr>
+<tr class="row-even"><td><p>*NO2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/75.tar</p></td>
+<td><p>1.7G</p></td>
+<td><p>9f352fbc32bb2b8caf4788aba28b2eb7</p></td>
+</tr>
+<tr class="row-odd"><td><p>*NO</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/76.tar</p></td>
+<td><p>1.4G</p></td>
+<td><p>482ee306a5ae2eee78cac40d10059ebc</p></td>
+</tr>
+<tr class="row-even"><td><p>*N</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/77.tar</p></td>
+<td><p>1.1G</p></td>
+<td><p>bfb6e03d4a687987ff68976f0793cc46</p></td>
+</tr>
+<tr class="row-odd"><td><p>*NO3</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/78.tar</p></td>
+<td><p>1.8G</p></td>
+<td><p>700834326e789a6e38bf3922d9fcb792</p></td>
+</tr>
+<tr class="row-even"><td><p>*OHNH2</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/79.tar</p></td>
+<td><p>2.1G</p></td>
+<td><p>fa24472e0c02c34d91f3ffe6b77bfb11</p></td>
+</tr>
+<tr class="row-odd"><td><p>*ONOH</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/80.tar</p></td>
+<td><p>1.4G</p></td>
+<td><p>4ddcccd62a834a76fe6167461f512529</p></td>
+</tr>
+<tr class="row-even"><td><p>*CN</p></td>
+<td><p>https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/81.tar</p></td>
+<td><p>1.5G</p></td>
+<td><p>bc7c55330ece006d09496a5ff01d5d50</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p>Note - A few adsorbates are intentionally left out for the test splits.</p>
+<p>Downloading any of the above and extracting will result in a folder :</p>
+<p><code class="docutils literal notranslate"><span class="pre">&lt;index&gt;/</span></code></p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">system.txt</span></code> Text file containing information about the different adsorbate+catalyst system names. In total there are N systems. More details described below.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">&lt;index&gt;/</span></code></p>
+<ul>
+<li><p>This contains N compressed trajectory files of the format <code class="docutils literal notranslate"><span class="pre">.extxyz.xz</span></code>.</p></li>
+<li><p>Files are named as  <code class="docutils literal notranslate"><span class="pre">&lt;system_id&gt;.extxyz.xz</span></code> (where <code class="docutils literal notranslate"><span class="pre">system_id</span></code> is defined below).</p></li>
+</ul>
+</li>
+</ul>
+<p>where, <code class="docutils literal notranslate"><span class="pre">&lt;index&gt;</span></code> can be 0 to 81. N is dependent on which adsorbate index is chosen.</p>
+<p>The file  <code class="docutils literal notranslate"><span class="pre">system.txt</span></code>  has information in the following format:
+<code class="docutils literal notranslate"><span class="pre">system_id,reference_energy</span></code></p>
+<p>where:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">system_id</span> </code>- Internal random ID corresponding to an adsorbate+catalyst system.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">reference_energy</span></code> - Energy used to reference system energies to bare catalyst+gas reference energies. Used for adsorption energy calculations.</p></li>
+</ul>
+<p>The <code class="docutils literal notranslate"><span class="pre">.extxyz.xz</span></code> files are LZMA compressed <code class="docutils literal notranslate"><span class="pre">.extxyz</span></code> trajectory files. Each trajectory corresponds to a relaxation trajectory of a different adsorbate+catalyst system. Information about the <code class="docutils literal notranslate"><span class="pre">.extxyz</span></code> trajectory file format may be found at https://wiki.fysik.dtu.dk/ase/dev/ase/io/formatoptions.html#extxyz .</p>
+<p>In order to uncompress the files, <code class="docutils literal notranslate"><span class="pre">uncompress.py</span></code> provides a multi-core implementation which could be used.</p>
+</section>
+</section>
+<section id="catalyst-system-trajectories-optional-download">
+<h3>Catalyst system trajectories (optional download)<a class="headerlink" href="#catalyst-system-trajectories-optional-download" title="Link to this heading">#</a></h3>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Number</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>294k systems</p></td>
+<td><p>20G</p></td>
+<td><p>151G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/slab_trajectories.tar">347f4183465810e9b384e7a033baefc7</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+</section>
+<section id="bader-charge-data">
+<h2>Bader charge data<a class="headerlink" href="#bader-charge-data" title="Link to this heading">#</a></h2>
+<p>We provide Bader charge data for all final frames of our train + validation systems in OC20 (for both S2EF and IS2RE/RS tasks). A <code class="docutils literal notranslate"><span class="pre">.tar.gz</span></code> file, when downloaded and uncompressed will contain several directories with unique system-ids (of the format <code class="docutils literal notranslate"><span class="pre">random&lt;XYZ&gt;</span></code> where <code class="docutils literal notranslate"><span class="pre">XYZ</span></code> is an integer). Each directory will contain raw Bader charge analysis outputs. For more details on the Bader charge analysis, see https://theory.cm.utexas.edu/henkelman/research/bader/.</p>
+<p>Downloadable link: https://dl.fbaipublicfiles.com/opencatalystproject/data/oc20_bader_data.tar (MD5 checksum: <code class="docutils literal notranslate"><span class="pre">aecc5e23542de49beceb4b7e44c153b9</span></code>)</p>
+</section>
+<section id="oc20-mappings">
+<h2>OC20 mappings<a class="headerlink" href="#oc20-mappings" title="Link to this heading">#</a></h2>
+<section id="data-mapping-information">
+<h3>Data mapping information<a class="headerlink" href="#data-mapping-information" title="Link to this heading">#</a></h3>
+<p>We provide a Python pickle file containing information about the slab and adsorbates for each of the systems in OC20 dataset. Loading the pickle file will load a Python dictionary. The keys of this dictionary are the adsorbate+catalyst system-ids (of the format <code class="docutils literal notranslate"><span class="pre">random&lt;XYZ&gt;</span></code>  where <code class="docutils literal notranslate"><span class="pre">XYZ</span></code> is an integer), and the corresponding value of each key is a dictionary with information about:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">bulk_mpid</span></code> : Materials Project ID of the bulk system used corresponding the the catalyst surface</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">bulk_symbols</span></code>  Chemical composition of the bulk counterpart</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">ads_symbols</span></code>  Chemical composition of the adsorbate counterpart</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">ads_id</span></code> : internal unique identifier, one for each of the 82 adsorbates used in the dataset</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">bulk_id</span></code> : internal unique identifier one for each of the 11500 bulks used in the dataset</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">miller_index</span></code>: 3-tuple of integers indicating the Miller indices of the surface</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">shift</span></code>: c-direction shift used to determine cutoff for the surface (c-direction is following the nomenclature from Pymatgen)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">top</span></code>: boolean indicating whether the chosen surface was at the top or bottom of the originally enumerated surface</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">adsorption_site</span></code>: A tuple of 3-tuples containing the Cartesian coordinates of each binding adsorbate atom</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">class</span></code>: integer indicating the class of materials the system’s slab is part of, where:</p></li>
+<li><p>0 - intermetallics</p></li>
+<li><p>1 - metalloids</p></li>
+<li><p>2 - non-metals</p></li>
+<li><p>3 - halides</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">anomaly</span></code>: integer indicating possible anomalies (based off general heuristics, not to be taken as perfect classifications), where:</p></li>
+<li><p>0 - no anomaly</p></li>
+<li><p>1 - adsorbate dissociation</p></li>
+<li><p>2 - adsorbate desorption</p></li>
+<li><p>3 - surface reconstruction</p></li>
+<li><p>4 - incorrect CHCOH placement, appears to be CHCO with a lone, uninteracting, H far off in the unit cell</p></li>
+</ul>
+<p>Downloadable link: https://dl.fbaipublicfiles.com/opencatalystproject/data/oc20_data_mapping.pkl (MD5 checksum: <code class="docutils literal notranslate"><span class="pre">01c879067a05b4288055a1fdf821e068</span></code>)</p>
+<p>An example entry is</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="s1">&#39;random2181546&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;bulk_id&#39;</span><span class="p">:</span> <span class="mi">6510</span><span class="p">,</span>
+  <span class="s1">&#39;ads_id&#39;</span><span class="p">:</span> <span class="mi">69</span><span class="p">,</span>
+  <span class="s1">&#39;bulk_mpid&#39;</span><span class="p">:</span> <span class="s1">&#39;mp-22179&#39;</span><span class="p">,</span>
+  <span class="s1">&#39;bulk_symbols&#39;</span><span class="p">:</span> <span class="s1">&#39;Si2Ti2Y2&#39;</span><span class="p">,</span>
+  <span class="s1">&#39;ads_symbols&#39;</span><span class="p">:</span> <span class="s1">&#39;*N2&#39;</span><span class="p">,</span>
+  <span class="s1">&#39;miller_index&#39;</span><span class="p">:</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span>
+  <span class="s1">&#39;shift&#39;</span><span class="p">:</span> <span class="mf">0.145</span><span class="p">,</span>
+  <span class="s1">&#39;top&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+  <span class="s1">&#39;adsorption_site&#39;</span><span class="p">:</span> <span class="p">((</span><span class="mf">4.5</span><span class="p">,</span> <span class="mf">12.85</span><span class="p">,</span> <span class="mf">16.13</span><span class="p">),),</span>
+  <span class="s1">&#39;class&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+  <span class="s1">&#39;anomaly&#39;</span><span class="p">:</span> <span class="mi">0</span><span class="p">}</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section id="adsorbate-catalyst-system-to-catalyst-system-mapping-information">
+<h2>Adsorbate-catalyst system to catalyst system mapping information<a class="headerlink" href="#adsorbate-catalyst-system-to-catalyst-system-mapping-information" title="Link to this heading">#</a></h2>
+<p>We provide a Python pickle file containing information about the mapping from adsorbate-catalyst systems to their corresponding catalyst systems. Loading the pickle file will load a Python dictionary. The keys of this dictionary are the adsorbate+catalyst system-ids (of the format <code class="docutils literal notranslate"><span class="pre">random&lt;XYZ&gt;</span></code>  where <code class="docutils literal notranslate"><span class="pre">XYZ</span></code> is an integer), and values will be the catalyst system-ids (of the format <code class="docutils literal notranslate"><span class="pre">random&lt;PQR&gt;</span></code> where <code class="docutils literal notranslate"><span class="pre">PQR</span></code> is an integer).</p>
+<p>Downloadable link: https://dl.fbaipublicfiles.com/opencatalystproject/data/mapping_adslab_slab.pkl (MD5 checksum: <code class="docutils literal notranslate"><span class="pre">079041076c3f15d18ecb5d17c509cdfe</span></code>)</p>
+<p>An example entry is</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="s1">&#39;random1981709&#39;</span><span class="p">:</span> <span class="s1">&#39;random533137&#39;</span>
+</pre></div>
+</div>
+</section>
+<section id="dataset-changelog">
+<h2>Dataset changelog<a class="headerlink" href="#dataset-changelog" title="Link to this heading">#</a></h2>
+<section id="september-2021">
+<h3>September 2021<a class="headerlink" href="#september-2021" title="Link to this heading">#</a></h3>
+<ul class="simple">
+<li><p>Released IS2RE <code class="docutils literal notranslate"><span class="pre">test-challenge</span></code> data for the <a class="reference external" href="https://opencatalystproject.org/challenge.html">Open Catalyst Challenge 2021</a></p></li>
+</ul>
+</section>
+<section id="march-2021">
+<h3>March 2021<a class="headerlink" href="#march-2021" title="Link to this heading">#</a></h3>
+<ul class="simple">
+<li><p>Modified the pickle corresponding to data mapping information. Now the pickle includes extra information about <code class="docutils literal notranslate"><span class="pre">miller_index</span></code>, <code class="docutils literal notranslate"><span class="pre">shift</span></code>, <code class="docutils literal notranslate"><span class="pre">top</span></code> and <code class="docutils literal notranslate"><span class="pre">adsorption_site</span></code>.</p></li>
+<li><p>Added Molecular Dynamics (MD) and rattled data for S2EF task.</p></li>
+</ul>
+</section>
+<section id="version-2-feb-2021">
+<h3>Version 2, Feb 2021<a class="headerlink" href="#version-2-feb-2021" title="Link to this heading">#</a></h3>
+<p>Modifications:</p>
+<ul class="simple">
+<li><p>Removed slab systems which had single frame checkpoints, this led to modifications of reference frame energies of 350k frames out of 130M.</p></li>
+<li><p>Fixed stitching of checkpoints in adsorbate+catalyst trajectories.</p></li>
+<li><p>Added release of slab trajectories.</p></li>
+</ul>
+<p>Below are actual updates numbers, of the form <code class="docutils literal notranslate"><span class="pre">old</span></code> → <code class="docutils literal notranslate"><span class="pre">new</span></code></p>
+<p>Total S2EF frames:</p>
+<ul class="simple">
+<li><p>train: 133953162 → 133934018</p></li>
+<li><p>validation:</p>
+<ul>
+<li><p>val_id : 1000000 → 999866</p></li>
+<li><p>val_ood_ads: 1000000 → 999838</p></li>
+<li><p>val_ood_cat: 1000000 → 999809</p></li>
+<li><p>val_ood_both: 1000000 →  999944</p></li>
+</ul>
+</li>
+<li><p>test:</p>
+<ul>
+<li><p>test_id: 1000000 → 999736</p></li>
+<li><p>test_ood_ads: 1000000 → 999859</p></li>
+<li><p>test_ood_cat: 1000000 → 999826</p></li>
+<li><p>test_ood_both: 1000000 → 999973</p></li>
+</ul>
+</li>
+</ul>
+<p>Total IS2RE and IS2RS systems:</p>
+<ul class="simple">
+<li><p>train: 461313 → 460328</p></li>
+<li><p>validation:</p>
+<ul>
+<li><p>val_id : 24946 → 24943</p></li>
+<li><p>val_ood_ads: 24966 → 24961</p></li>
+<li><p>val_ood_cat: 24988 → 24963</p></li>
+<li><p>val_ood_both: 24963 → 24987</p></li>
+</ul>
+</li>
+<li><p>test:</p>
+<ul>
+<li><p>test_id: 24951 → 24948</p></li>
+<li><p>test_ood_ads: 24931 → 24930</p></li>
+<li><p>test_ood_cat: 24967 → 24965</p></li>
+<li><p>test_ood_both: 24986 → 24985</p></li>
+</ul>
+</li>
+</ul>
+</section>
+<section id="version-1-oct-2020">
+<h3>Version 1, Oct 2020<a class="headerlink" href="#version-1-oct-2020" title="Link to this heading">#</a></h3>
+<p>Total S2EF frames:</p>
+<ul class="simple">
+<li><p>train: 133953162</p></li>
+<li><p>validation:</p>
+<ul>
+<li><p>val_id : 1000000</p></li>
+<li><p>val_ood_ads: 1000000</p></li>
+<li><p>val_ood_cat: 1000000</p></li>
+<li><p>val_ood_both: 1000000</p></li>
+</ul>
+</li>
+<li><p>test:</p>
+<ul>
+<li><p>test_id: 1000000</p></li>
+<li><p>test_ood_ads: 1000000</p></li>
+<li><p>test_ood_cat: 1000000</p></li>
+<li><p>test_ood_both: 1000000</p></li>
+</ul>
+</li>
+</ul>
+<p>Total IS2RE and IS2RS systems:</p>
+<ul class="simple">
+<li><p>train: 461313</p></li>
+<li><p>validation:</p>
+<ul>
+<li><p>val_id : 24936</p></li>
+<li><p>val_ood_ads: 24966</p></li>
+<li><p>val_ood_cat: 24988</p></li>
+<li><p>val_ood_both: 24963</p></li>
+</ul>
+</li>
+<li><p>test:</p>
+<ul>
+<li><p>test_id: 24951</p></li>
+<li><p>test_ood_ads: 24931</p></li>
+<li><p>test_ood_cat: 24967</p></li>
+<li><p>test_ood_both: 24986</p></li>
+</ul>
+</li>
+</ul>
+</section>
+</section>
+<section id="citing-oc20">
+<h2>Citing OC20<a class="headerlink" href="#citing-oc20" title="Link to this heading">#</a></h2>
+<p>The Open Catalyst 2020 (OC20) dataset is licensed under a <a class="reference external" href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 License</a>.</p>
+<p>Please consider citing the following paper in any research manuscript using the OC20 dataset:</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">ocp_dataset</span><span class="p">,</span>
+<span class="w">    </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Chanussot*, Lowik and Das*, Abhishek and Goyal*, Siddharth and Lavril*, Thibaut and Shuaibi*, Muhammed and Riviere, Morgane and Tran, Kevin and Heras-Domingo, Javier and Ho, Caleb and Hu, Weihua and Palizhati, Aini and Sriram, Anuroop and Wood, Brandon and Yoon, Junwoong and Parikh, Devi and Zitnick, C. Lawrence and Ulissi, Zachary}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Open Catalyst 2020 (OC20) Dataset and Community Challenges}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">journal</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{ACS Catalysis}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">year</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2021}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">doi</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{10.1021/acscatal.0c04525}</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="per-adsorbate-trajectories">
+<h1>Per-adsorbate trajectories<a class="headerlink" href="#per-adsorbate-trajectories" title="Link to this heading">#</a></h1>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Adsorbate symbol</p></th>
+<th class="head"><p>Size</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>*O</p></td>
+<td><p>1006M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/0.tar">d4151542856b4b6405f276808f75358a</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*H</p></td>
+<td><p>850M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/1.tar">3697f04faf04251a23da8b88a78209f7</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*OH</p></td>
+<td><p>1.6G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/2.tar">a21081f3f55eb0c98a91021bbe3dac44</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*OH2</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/3.tar">b12b706854f5d899e02a9ae6578b5d45</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*C</p></td>
+<td><p>1.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/4.tar">e4fe9890764fcf59e01e3ceab089b978</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CH</p></td>
+<td><p>1.4G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/6.tar">ec9aa2c4c4bd4419359438ba7fbb881d</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CHO</p></td>
+<td><p>1.4G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/7.tar">d32200f74ad5c3bfd42e8835f36d57ab</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*COH</p></td>
+<td><p>1.6G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/8.tar">5418a1b331f6c7689a5405cca4cc8d15</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CH2</p></td>
+<td><p>1.6G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/9.tar">8ee1066149c305d7c17c219b369c5a73</a></p></td>
+</tr>
+<tr class="row-odd"><td><p><em>CH2</em>O</p></td>
+<td><p>1.7G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/10.tar">960c2450814024b66f3c79121179ac60</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CHOH</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/11.tar">60ac9f965f9589a3389483e3d1e58144</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CH3</p></td>
+<td><p>1.7G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/12.tar">7e123e6f4fb10d6897be3f47721dfd4a</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*OCH3</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/13.tar">0823047bbbe05fa0e63f9d83ec601487</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CH2OH</p></td>
+<td><p>1.9G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/14.tar">9ac71e198d75b1427182cd34abb73e4d</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CH4</p></td>
+<td><p>1.9G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/15.tar">a405ce403018bf8afbd4425d5c0b34d5</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*OHCH3</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/16.tar">d3c829f1952db6e4f428273ee05f59b1</a></p></td>
+</tr>
+<tr class="row-even"><td><p><em>C</em>C</p></td>
+<td><p>1.5G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/17.tar">d687a151345305897b9245af4b0f9967</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CCO</p></td>
+<td><p>1.7G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/18.tar">214ca96e620c5ec6e8a6ff8144a22a04</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CCH</p></td>
+<td><p>1.6G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/19.tar">da2268545e80ca1664026449dd2fdd24</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHCO</p></td>
+<td><p>1.7G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/20.tar">386c99407fe63080d26cda525dfdd8cd</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CCHO</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/21.tar">918b20960438494ab160a9dbd9668157</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*COCHO</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/22.tar">84424aa2ad30301e23ece1438ea39923</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CCHOH</p></td>
+<td><p>2.0G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/23.tar">3cc90425ec042a70085ba7eb2916a79a</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CCH2</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/24.tar">9dbcf7566e40965dd7f8a186a75a718e</a></p></td>
+</tr>
+<tr class="row-even"><td><p><em>CH</em>CH</p></td>
+<td><p>1.7G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/25.tar">a193b4c72f915ba0b21a41790696b23c</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>CH2*CO</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/26.tar">de83cf50247f5556fa4f9f64beff1eeb</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CHCHO</p></td>
+<td><p>1.9G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/27.tar">1d140aaa2e7b287124ab38911a711d70</a></p></td>
+</tr>
+<tr class="row-odd"><td><p><em>CH</em>COH</p></td>
+<td><p>1.3G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/28.tar">682d8a6b05ca5948b34dc5e5f6bbcd61</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*COCH2O</p></td>
+<td><p>1.9G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/29.tar">c8742faa8ca40e8edb4110069817fa70</a></p></td>
+</tr>
+<tr class="row-odd"><td><p><em>CHO</em>CHO</p></td>
+<td><p>2.0G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/30.tar">8cfbb67beb312b98c40fcb891dfa480a</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*COHCHO</p></td>
+<td><p>1.9G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/31.tar">6ffa903a62d8ec3319ecec6a03b06276</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*COHCOH</p></td>
+<td><p>2.0G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/32.tar">caca0058b641bfdc9f8de4527e60feb7</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CCH3</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/33.tar">906543aaefc171edab388ff4f0fe8a20</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHCH2</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/34.tar">4dfab479495f76179749c1956046fbd8</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*COCH3</p></td>
+<td><p>1.9G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/35.tar">29d1b992715054e920e8bb2afe97b393</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHCHOH</p></td>
+<td><p>2.0G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/38.tar">9e5912df6f7b11706d1046cdb9e3087e</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CCH2OH</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/38.tar">7bcae43cee451306e34ec416588a7f09</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHOCHOH</p></td>
+<td><p>2.0G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/40.tar">f98866d08fe3451ae7ebc47bb51599aa</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*COCH2OH</p></td>
+<td><p>1.4G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/41.tar">bfaf689e5827fcf26c51e567bb8dd1be</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*COHCHOH</p></td>
+<td><p>2.0G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/42.tar">236fe4e950aa2fbdde94ef2821fb48d2</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*OCHCH3</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/44.tar">66acc5460a999625c3364f0f3bcca871</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*COHCH3</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/45.tar">bb4a01956736399c8cee5e219f8c1229</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CHOHCH2</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/46.tar">e836de4ec146b1b611533f1ef682cace</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHCH2OH</p></td>
+<td><p>2.0G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/47.tar">66df44121806debef6dc038df7115d1d</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*OCH2CHOH</p></td>
+<td><p>2.2G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/48.tar">ff6981fdbcd2e65d351505c15d218d76</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHOCH2OH</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/49.tar">448f7d352ab6e32f754e24de64ca302a</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*COHCH2OH</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/50.tar">8bff6bf3e10cc84acc4a283a375fcc23</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CHOHCHOH</p></td>
+<td><p>2.0G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/51.tar">9c9e4d617d306751760a80f1453e71f1</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CH2CH3</p></td>
+<td><p>2.0G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/52.tar">ec1e964d2ee6f468fa5773743e3994a4</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*OCH2CH3</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/53.tar">d297b27b02822f9b6af80bdb64aee819</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CHOHCH3</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/54.tar">368de083dafdc3bbdb560d35e2a102c0</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*CH2CH2OH</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/55.tar">3c1aaf790659f7ff89bf1eed8b396b63</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CHOHCH2OH</p></td>
+<td><p>2.2G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/56.tar">2d71adb9e305e6f3bca49e5df9b5a86a</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*OHCH2CH3</p></td>
+<td><p>2.3G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/57.tar">cf51128f8522b7b66fc68d79980d6def</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*NH2N(CH3)2</p></td>
+<td><p>1.6G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/58.tar">36ba974d80c20ff636431f7c0ad225da</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*ONN(CH3)2</p></td>
+<td><p>2.3G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/59.tar">fdc4cd19977496909d61be4aee61c4f1</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*OHNNCH3</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/60.tar">50a6ff098f9ba7adbba9ac115726cc5a</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*ONH</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/62.tar">47573199c545afe46c554ff756c3e38f</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*NHNH</p></td>
+<td><p>1.7G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/63.tar">dd456b7e19ef592d9f0308d911b91d7c</a></p></td>
+</tr>
+<tr class="row-odd"><td><p><em>N</em>NH</p></td>
+<td><p>1.6G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/65.tar">c05289fd56d64c74306ebf57f1061318</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*NO2NO2</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/67.tar">4822a06f6c5f41bdefd3cbbd8856c11f</a></p></td>
+</tr>
+<tr class="row-odd"><td><p><em>N</em>NO</p></td>
+<td><p>1.6G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/68.tar">2a27de122d32917cc5b6ac0a21c63c1c</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*N2</p></td>
+<td><p>1.5G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/69.tar">cc668fecf679b6edaac8fd8fb9cdd404</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*ONNH2</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/70.tar">dff880f1a5baa7f67b52fd3ed745443d</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*NH2</p></td>
+<td><p>1.6G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/71.tar">c7f383b50faa6244e265c9611466cb8f</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*NH3</p></td>
+<td><p>1.9G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/72.tar">2b355741f9300445703270e0e4b8c01c</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*NONH</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/73.tar">48877a0c6f2994baac82cb722711aaa2</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*NH</p></td>
+<td><p>1.4G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/74.tar">7979b9e7ab557d6979b33e352486f0ef</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*NO2</p></td>
+<td><p>1.7G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/75.tar">9f352fbc32bb2b8caf4788aba28b2eb7</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*NO</p></td>
+<td><p>1.4G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/76.tar">482ee306a5ae2eee78cac40d10059ebc</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*N</p></td>
+<td><p>1.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/77.tar">bfb6e03d4a687987ff68976f0793cc46</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*NO3</p></td>
+<td><p>1.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/78.tar">700834326e789a6e38bf3922d9fcb792</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*OHNH2</p></td>
+<td><p>2.1G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/79.tar">fa24472e0c02c34d91f3ffe6b77bfb11</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>*ONOH</p></td>
+<td><p>1.4G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/80.tar">4ddcccd62a834a76fe6167461f512529</a></p></td>
+</tr>
+<tr class="row-even"><td><p>*CN</p></td>
+<td><p>1.5G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/per_adsorbate_is2res/81.tar">bc7c55330ece006d09496a5ff01d5d50</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p>Note - A few adsorbates are intentionally left out for the test splits.</p>
+<p>Downloading any of the above and extracting will result in a folder:</p>
+<p><code class="docutils literal notranslate"><span class="pre">&lt;index&gt;/</span></code></p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">system.txt</span></code> Text file containing information about the different adsorbate+catalyst system names. In total there are N systems. More details described below.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">&lt;index&gt;/</span></code></p>
+<ul>
+<li><p>This contains N compressed trajectory files of the format <code class="docutils literal notranslate"><span class="pre">.extxyz.xz</span></code>.</p></li>
+<li><p>Files are named as  <code class="docutils literal notranslate"><span class="pre">&lt;system_id&gt;.extxyz.xz</span></code> (where <code class="docutils literal notranslate"><span class="pre">system_id</span></code> is defined below).</p></li>
+</ul>
+</li>
+</ul>
+<p>where, <code class="docutils literal notranslate"><span class="pre">&lt;index&gt;</span></code> can be 0 to 81. N is dependent on which adsorbate index is chosen.</p>
+<p>The file  <code class="docutils literal notranslate"><span class="pre">system.txt</span></code>  has information in the following format:
+<code class="docutils literal notranslate"><span class="pre">system_id,reference_energy</span></code></p>
+<p>where:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">system_id</span> </code>- Internal random ID corresponding to an adsorbate+catalyst system.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">reference_energy</span></code> - Energy used to reference system energies to bare catalyst+gas reference energies. Used for adsorption energy calculations.</p></li>
+</ul>
+<p>The <code class="docutils literal notranslate"><span class="pre">.extxyz.xz</span></code> files are LZMA compressed <code class="docutils literal notranslate"><span class="pre">.extxyz</span></code> trajectory files. Each trajectory corresponds to a relaxation trajectory of a different adsorbate+catalyst system. Information about the <code class="docutils literal notranslate"><span class="pre">.extxyz</span></code> trajectory file format may be found at https://wiki.fysik.dtu.dk/ase/ase/io/formatoptions.html#extxyz.</p>
+<p>In order to uncompress the files, <code class="docutils literal notranslate"><span class="pre">uncompress.py</span></code> provides a multi-core implementation which could be used.</p>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./core/datasets"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
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+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Open Catalyst 2020 (OC20)</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#download-and-preprocess-the-dataset">Download and preprocess the dataset</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-energy-and-forces-s2ef-task">Structure to Energy and Forces (S2EF) task</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-energy-is2re-tasks">Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Energy (IS2RE) tasks</a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#per-adsorbate-trajectories-optional-download">Per-adsorbate trajectories (optional download)</a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#catalyst-system-trajectories-optional-download">Catalyst system trajectories (optional download)</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#bader-charge-data">Bader charge data</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#oc20-mappings">OC20 mappings</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data-mapping-information">Data mapping information</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorbate-catalyst-system-to-catalyst-system-mapping-information">Adsorbate-catalyst system to catalyst system mapping information</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#dataset-changelog">Dataset changelog</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#september-2021">September 2021</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#march-2021">March 2021</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#version-2-feb-2021">Version 2, Feb 2021</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#version-1-oct-2020">Version 1, Oct 2020</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-oc20">Citing OC20</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#per-adsorbate-trajectories">Per-adsorbate trajectories</a></li>
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+    <h1>Open Catalyst 2020 Dense (OC20Dense)</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#overview">Overview</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#file-contents-and-download">File Contents and Download</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="open-catalyst-2020-dense-oc20dense">
+<h1>Open Catalyst 2020 Dense (OC20Dense)<a class="headerlink" href="#open-catalyst-2020-dense-oc20dense" title="Link to this heading">#</a></h1>
+<section id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Link to this heading">#</a></h2>
+<p>The OC20Dense dataset is a validation dataset which was used to assess model performance in <a class="reference external" href="https://arxiv.org/abs/2211.16486">AdsorbML: A Leap in Efficiency for Adsorption Energy Calculations using Generalizable Machine Learning Potentials</a>. OC20-Dense contains a dense sampling of adsorbate configurations on ~1,000 randomly selected adsorbate+surface materials from the <a class="reference external" href="https://arxiv.org/abs/2010.09990">OC20</a> dataset. It comprises a total of 85,658 unique input configurations. This dataset, and the paper written for it, supports the determination of global minimum adsorbate-surface energies (the adsorption energy). This differs from OC20, which contains local adsorbate relaxations. Under low coverage conditions, the global minimum energy site is the most likely to be occupied. For computational catalysis research, we correlate the adsorption energy with important figures of merit, so aquisition of it is an important task.</p>
+</section>
+<section id="file-contents-and-download">
+<h2>File Contents and Download<a class="headerlink" href="#file-contents-and-download" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>LMDB</p></td>
+<td><p>654M</p></td>
+<td><p>9.8G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/adsorbml/oc20_dense_data.tar.gz">0163b0e8c4df6d9c426b875a28d9178a</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>ASE Trajectories</p></td>
+<td><p>29G</p></td>
+<td><p>112G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/adsorbml/oc20_dense_trajectories.tar.gz">ee937e5290f8f720c914dc9a56e0281f</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p>The following files are also provided to be used for evaluation and general information:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">oc20dense_mapping.pkl</span></code> : Mapping of the LMDB <code class="docutils literal notranslate"><span class="pre">sid</span></code> to general metadata information. If this file is not present, run the command <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">src/fairchem/core/scripts/download_large_files.py</span> <span class="pre">adsorbml</span></code> from the root of the fairchem repo to download it. -</p>
+<ul>
+<li><p><code class="docutils literal notranslate"><span class="pre">system_id</span></code>: Unique system identifier for an adsorbate, bulk, surface combination.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">config_id</span></code>: Unique configuration identifier, where <code class="docutils literal notranslate"><span class="pre">rand</span></code> and <code class="docutils literal notranslate"><span class="pre">heur</span></code> correspond to random and heuristic initial configurations, respectively.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">mpid</span></code>: Materials Project bulk identifier.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">miller_idx</span></code>: 3-tuple of integers indicating the Miller indices of the surface.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">shift</span></code>: C-direction shift used to determine cutoff for the surface (c-direction is following the nomenclature from Pymatgen).</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">top</span></code>: Boolean indicating whether the chosen surface was at the top or bottom of the originally enumerated surface.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">adsorbate</span></code>: Chemical composition of the adsorbate.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">adsorption_site</span></code>: A tuple of 3-tuples containing the Cartesian coordinates of each binding adsorbate atom</p></li>
+</ul>
+</li>
+<li><p><code class="docutils literal notranslate"><span class="pre">oc20dense_targets.pkl</span></code> :  DFT adsorption energies across different system and placement ids.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">oc20dense_compute.pkl</span></code> :  DFT compute as measured in the number of ionic and scf steps for each evaluated relaxation.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">oc20dense_ref_energies.pkl</span></code> : Reference energy used for a specified <code class="docutils literal notranslate"><span class="pre">system_id</span></code>. This energy includes the relaxed clean surface and the gas phase adsorbate energy to ensure consistency across calculations.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">oc20dense_tags.pkl</span></code> : Tag information used for a specified <code class="docutils literal notranslate"><span class="pre">system_id</span></code>. Where 0 = subsurface, 1 = surface, 2 = adsorbate.</p></li>
+</ul>
+<p>All mappings can be obtained at the following downloadable link: https://dl.fbaipublicfiles.com/opencatalystproject/data/adsorbml/oc20_dense_mappings.tar.gz</p>
+<p>MD5 checksums:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">c18735c405ce6ce5761432b07287d8d9</span>  <span class="n">oc20_dense_mappings</span><span class="o">.</span><span class="n">tar</span><span class="o">.</span><span class="n">gz</span>
+<span class="mf">3e26</span><span class="n">c3bcef01ccfc9b001931065ea6e6</span>  <span class="n">oc20dense_mapping</span><span class="o">.</span><span class="n">pkl</span>
+<span class="n">fd589b013b72e62e11a6b2a5bd1d323c</span>  <span class="n">oc20dense_targets</span><span class="o">.</span><span class="n">pkl</span>
+<span class="mi">78</span><span class="n">d25997e0aaf754df526ab37276bb89</span>  <span class="n">oc20dense_compute</span><span class="o">.</span><span class="n">pkl</span>
+<span class="n">b07c64158e4bfa5f7b9bf6263753ecc5</span>  <span class="n">oc20dense_ref_energies</span><span class="o">.</span><span class="n">pkl</span>
+<span class="mi">1</span><span class="n">ba0bc266130f186850f5faa547b6a02</span>  <span class="n">oc20dense_tags</span><span class="o">.</span><span class="n">pkl</span>
+</pre></div>
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+    <h1>Open Catalyst 2020 Nudged Elastic Band (OC20NEB)</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#overview">Overview</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#file-structure-and-contents">File Structure and Contents</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#download">Download</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use">Use</a></li>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="open-catalyst-2020-nudged-elastic-band-oc20neb">
+<h1>Open Catalyst 2020 Nudged Elastic Band (OC20NEB)<a class="headerlink" href="#open-catalyst-2020-nudged-elastic-band-oc20neb" title="Link to this heading">#</a></h1>
+<section id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Link to this heading">#</a></h2>
+<p>This is a validation dataset which was used to assess model performance in <a class="reference external" href="https://arxiv.org/abs/2405.02078">CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks</a>. It is comprised of 932 NEB relaxation trajectories. There are three different types of reactions represented: desorptions, dissociations, and transfers. NEB calculations allow us to find transition states. The rate of reaction is determined by the transition state energy, so access to transition states is very important for catalysis research. For more information, check out the paper.</p>
+</section>
+<section id="file-structure-and-contents">
+<h2>File Structure and Contents<a class="headerlink" href="#file-structure-and-contents" title="Link to this heading">#</a></h2>
+<p>The tar file contains 3 subdirectories: dissociations, desorptions, and transfers. As the names imply, these directories contain the converged DFT trajectories for each of the reaction classes. Within these directories, the trajectories are named to identify the contents of the file. Here is an example and the anatomy of the name:</p>
+<p><code class="docutils literal notranslate"><span class="pre">desorption_id_83_2409_9_111-4_neb1.0.traj</span></code></p>
+<ol class="arabic simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">desorption</span></code> indicates the reaction type (dissociation and transfer are the other possibilities)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">id</span></code> identifies that the material belongs to the validation in domain split (ood - out of domain is th e other possibility)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">83</span></code> is the task id. This does not provide relavent information</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">2409</span></code> is the bulk index of the bulk used in the ocdata bulk pickle file</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">9</span></code> is the reaction index. for each reaction type there is a reaction pickle file in the repository. In this case it is the 9th entry to that pickle file</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">111-4</span></code> the first 3 numbers are the miller indices (i.e. the (1,1,1) surface), and the last number cooresponds to the shift value. In this case the 4th shift enumerated was the one used.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">neb1.0</span></code> the number here indicates the k value used. For the full dataset, 1.0 was used so this does not distiguish any of the trajectories from one another.</p></li>
+</ol>
+<p>The content of these trajectory files is the repeating frame sets. Despite the initial and final frames not being optimized during the NEB, the initial and final frames are saved for every iteration in the trajectory. For the dataset, 10 frames were used - 8 which were optimized over the neb. So the length of the trajectory is the number of iterations (N) * 10. If you wanted to look at the frame set prior to optimization and the optimized frame set, you could get them like this:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.io</span><span class="w"> </span><span class="kn">import</span> <span class="n">read</span>
+
+<span class="n">traj</span> <span class="o">=</span> <span class="n">read</span><span class="p">(</span><span class="s2">&quot;desorption_id_83_2409_9_111-4_neb1.0.traj&quot;</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+<span class="n">unrelaxed_frames</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10</span><span class="p">]</span>
+<span class="n">relaxed_frames</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">10</span><span class="p">:]</span>
+</pre></div>
+</div>
+</section>
+<section id="download">
+<h2>Download<a class="headerlink" href="#download" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>ASE Trajectories</p></td>
+<td><p>1.5G</p></td>
+<td><p>6.3G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/oc20neb/oc20neb_dft_trajectories_04_23_24.tar.gz">52af34a93758c82fae951e52af445089</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="use">
+<h2>Use<a class="headerlink" href="#use" title="Link to this heading">#</a></h2>
+<p>One more note: We have not prepared an lmdb for this dataset. This is because it is NEB calculations are not supported directly in ocp. You must use the ase native OCP class along with ase infrastructure to run NEB calculations. Here is an example of a use:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.io</span><span class="w"> </span><span class="kn">import</span> <span class="n">read</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.applications.cattsunami.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPNEB</span>
+
+<span class="n">traj</span> <span class="o">=</span> <span class="n">read</span><span class="p">(</span><span class="s2">&quot;desorption_id_83_2409_9_111-4_neb1.0.traj&quot;</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+<span class="n">neb_frames</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10</span><span class="p">]</span>
+<span class="n">neb</span> <span class="o">=</span> <span class="n">OCPNEB</span><span class="p">(</span>
+    <span class="n">neb_frames</span><span class="p">,</span>
+    <span class="n">checkpoint_path</span><span class="o">=</span><span class="n">YOUR_CHECKPOINT_PATH</span><span class="p">,</span>
+    <span class="n">k</span><span class="o">=</span><span class="n">k</span><span class="p">,</span>
+    <span class="n">batch_size</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">optimizer</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span>
+    <span class="n">neb</span><span class="p">,</span>
+    <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;test_neb.traj&quot;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">conv</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.45</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span>
+<span class="k">if</span> <span class="n">conv</span><span class="p">:</span>
+    <span class="n">neb</span><span class="o">.</span><span class="n">climb</span> <span class="o">=</span> <span class="kc">True</span>
+    <span class="n">conv</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">300</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+</section>
+
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Open Catalyst 2022 (OC22)</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-total-energy-and-forces-s2ef-total-task">Structure to Total Energy and Forces (S2EF-Total) task</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-total-energy-is2re-total-tasks">Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Total Energy (IS2RE-Total) tasks</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#relaxation-trajectories">Relaxation Trajectories</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#system-trajectories-optional-download">System trajectories (optional download)</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#oc22-mappings">OC22 Mappings</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data-mapping-information">Data mapping information</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#oc20-reference-information">OC20 reference information</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2"></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-oc22">Citing OC22</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="open-catalyst-2022-oc22">
+<h1>Open Catalyst 2022 (OC22)<a class="headerlink" href="#open-catalyst-2022-oc22" title="Link to this heading">#</a></h1>
+<section id="structure-to-total-energy-and-forces-s2ef-total-task">
+<h2>Structure to Total Energy and Forces (S2EF-Total) task<a class="headerlink" href="#structure-to-total-energy-and-forces-s2ef-total-task" title="Link to this heading">#</a></h2>
+<p>For this task’s train, validation and test sets, we provide precomputed LMDBs that can be directly used with dataloaders provided in our code. The LMDBs contain input structures from all points in relaxation trajectories along with the energy of the structure and the atomic forces. The validation and test datasets are broken into subsplits based on in-distribution and out-of-distribution materials relative to the training dataset. All LMDBs are compressed into a single <code class="docutils literal notranslate"><span class="pre">.tar.gz</span></code> file.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Train (all splits) + Validation (all splits) + test (all splits)</p></td>
+<td><p>20G</p></td>
+<td><p>71G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/oc22/s2ef_total_train_val_test_lmdbs.tar.gz">ebea523c6f8d61248a37b4dd660b11e6</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-total-energy-is2re-total-tasks">
+<h2>Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Total Energy (IS2RE-Total) tasks<a class="headerlink" href="#initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-total-energy-is2re-total-tasks" title="Link to this heading">#</a></h2>
+<p>For IS2RE-Total / IS2RS training, validation and test sets, we provide precomputed LMDBs that can be directly used with dataloaders provided in our code. The LMDBs contain input initial structures and the output relaxed structures and energies. The validation and test datasets are broken into subsplits based on in-distribution and out-of-distribution materials relative to the training dataset. All LMDBs are compressed into a single <code class="docutils literal notranslate"><span class="pre">.tar.gz</span></code> file.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Train (all splits) + Validation (all splits) + test (all splits)</p></td>
+<td><p>109M</p></td>
+<td><p>424M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/oc22/is2res_total_train_val_test_lmdbs.tar.gz">b35dc24e99ef3aeaee6c5c949903de94</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="relaxation-trajectories">
+<h2>Relaxation Trajectories<a class="headerlink" href="#relaxation-trajectories" title="Link to this heading">#</a></h2>
+<section id="system-trajectories-optional-download">
+<h3>System trajectories (optional download)<a class="headerlink" href="#system-trajectories-optional-download" title="Link to this heading">#</a></h3>
+<p>We provide relaxation trajectories for all systems used in train and validation sets of S2EF-Total and IS2RE-Total/RS task:</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Number</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>S2EF and IS2RE (both train and validation)</p></td>
+<td><p>34G</p></td>
+<td><p>80G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/oc22/oc22_trajectories.tar.gz">977b6be1cbac6864e63c4c7fbf8a3fce</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+</section>
+<section id="oc22-mappings">
+<h2>OC22 Mappings<a class="headerlink" href="#oc22-mappings" title="Link to this heading">#</a></h2>
+<section id="data-mapping-information">
+<h3>Data mapping information<a class="headerlink" href="#data-mapping-information" title="Link to this heading">#</a></h3>
+<p>We provide a Python pickle file containing information about the slab and adsorbates for each of the systems in OC22 dataset. Loading the pickle file will load a Python dictionary. The keys of this dictionary are the system-ids (of the format <code class="docutils literal notranslate"><span class="pre">XYZ</span></code>  where <code class="docutils literal notranslate"><span class="pre">XYZ</span></code> is an integer, corresponding to the <code class="docutils literal notranslate"><span class="pre">sid</span></code> in the LMDB Data object), and the corresponding value of each key is a dictionary with information about:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">bulk_id</span></code>: Materials Project ID of the bulk system used corresponding the the catalyst surface</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">bulk_symbols</span></code>: Chemical composition of the bulk counterpart</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">miller_index</span></code>: 3-tuple of integers indicating the Miller indices of the surface</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">traj_id</span></code>: Identifier associated with the accompanying raw trajectory (if available)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">slab_sid</span></code>: Identifier associated with the corresponding slab (if available)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">ads_symbols</span></code>: Chemical composition of the adsorbate counterpart (adosrbate+slabs only)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">nads</span></code>: Number of adsorbates present</p></li>
+</ul>
+<p>Downloadable link:  https://dl.fbaipublicfiles.com/opencatalystproject/data/oc22/oc22_metadata.pkl (MD5 checksum: <code class="docutils literal notranslate"><span class="pre">13dc06c6510346d8a7f614d5b26c8ffa</span></code> )</p>
+<p>An example adsorbate+slab entry:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="mi">6877</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;bulk_id&#39;</span><span class="p">:</span> <span class="s1">&#39;mp-559112&#39;</span><span class="p">,</span>
+  <span class="s1">&#39;miller_index&#39;</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span>
+  <span class="s1">&#39;nads&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+  <span class="s1">&#39;traj_id&#39;</span><span class="p">:</span> <span class="s1">&#39;K2Zn6O7_mp-559112_RyQXa0N0uc_ohyUKozY3G&#39;</span><span class="p">,</span>
+  <span class="s1">&#39;bulk_symbols&#39;</span><span class="p">:</span> <span class="s1">&#39;K4Zn12O14&#39;</span><span class="p">,</span>
+  <span class="s1">&#39;slab_sid&#39;</span><span class="p">:</span> <span class="mi">30859</span><span class="p">,</span>
+  <span class="s1">&#39;ads_symbols&#39;</span><span class="p">:</span> <span class="s1">&#39;O2&#39;</span><span class="p">},</span>
+</pre></div>
+</div>
+<p>An example slab entry:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="mi">34815</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;bulk_id&#39;</span><span class="p">:</span> <span class="s1">&#39;mp-18793&#39;</span><span class="p">,</span>
+  <span class="s1">&#39;miller_index&#39;</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span>
+  <span class="s1">&#39;nads&#39;</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span>
+  <span class="s1">&#39;traj_id&#39;</span><span class="p">:</span> <span class="s1">&#39;LiCrO2_mp-18793_clean_3HDHBg6TIz&#39;</span><span class="p">,</span>
+  <span class="s1">&#39;bulk_symbols&#39;</span><span class="p">:</span> <span class="s1">&#39;Li2Cr2O4&#39;</span><span class="p">},</span>
+</pre></div>
+</div>
+</section>
+<section id="id1">
+<h3><a class="headerlink" href="#id1" title="Link to this heading">#</a></h3>
+</section>
+<section id="oc20-reference-information">
+<h3>OC20 reference information<a class="headerlink" href="#oc20-reference-information" title="Link to this heading">#</a></h3>
+<p>In order to train models on OC20 total energy, we provide a Python pickle file containing the energy necessary to convert adsorption energy values to total energy. Loading the pickle file will load a Python dictionary. The keys of this dictionary are the system-ids (of the format <code class="docutils literal notranslate"><span class="pre">random&lt;XYZ&gt;</span></code>  where <code class="docutils literal notranslate"><span class="pre">XYZ</span></code> is an integer, corresponding to the <code class="docutils literal notranslate"><span class="pre">sid</span></code> in the LMDB Data object), and the corresponding value of each key is the energy to be added to OC20 energy values. To train on total energies for OC20, specify the path to this pickle file in your training configs.</p>
+<p>Downloadable link:  https://dl.fbaipublicfiles.com/opencatalystproject/data/oc22/oc20_ref.pkl (MD5 checksum: <code class="docutils literal notranslate"><span class="pre">043e1e0b0cce64c62f01a8563dbc3178</span></code>)</p>
+</section>
+<section id="id2">
+<h3><a class="headerlink" href="#id2" title="Link to this heading">#</a></h3>
+</section>
+</section>
+<section id="citing-oc22">
+<h2>Citing OC22<a class="headerlink" href="#citing-oc22" title="Link to this heading">#</a></h2>
+<p>The Open Catalyst 2022 (OC22) dataset is licensed under a <a class="reference external" href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 License</a>.</p>
+<p>Please consider citing the following paper in any research manuscript using the OC22 dataset:</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">oc22_dataset</span><span class="p">,</span>
+<span class="w">    </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Tran*, Richard and Lan*, Janice and Shuaibi*, Muhammed and Wood*, Brandon and Goyal*, Siddharth and Das, Abhishek and Heras-Domingo, Javier and Kolluru, Adeesh and Rizvi, Ammar and Shoghi, Nima and Sriram, Anuroop and Ulissi, Zachary and Zitnick, C. Lawrence}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{The Open Catalyst 2022 (OC22) dataset and challenges for oxide electrocatalysts}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">journal</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{ACS Catalysis}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">year</span><span class="p">=</span><span class="s">{2023}</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-total-energy-and-forces-s2ef-total-task">Structure to Total Energy and Forces (S2EF-Total) task</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-total-energy-is2re-total-tasks">Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Total Energy (IS2RE-Total) tasks</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#relaxation-trajectories">Relaxation Trajectories</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#system-trajectories-optional-download">System trajectories (optional download)</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#oc22-mappings">OC22 Mappings</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data-mapping-information">Data mapping information</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1"></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#oc20-reference-information">OC20 reference information</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2"></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-oc22">Citing OC22</a></li>
+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#experimental-datasets">Experimental datasets</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#computational-datasets">Computational datasets</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-this-work">Citing this work</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="open-catalyst-experiments-2024-ocx24-bridging-experiments-and-computational-models">
+<h1>Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models<a class="headerlink" href="#open-catalyst-experiments-2024-ocx24-bridging-experiments-and-computational-models" title="Link to this heading">#</a></h1>
+<p>In this work, we seek to directly bridge the gap between computational descriptors and experimental outcomes for heterogeneous catalysis. We consider two important green chemistries: the hydrogen evolution reaction and the electrochemical reduction of carbon dioxide. To do this, we created a curated dataset of experimental results with materials synthesized and tested in a reproducible manner under industrially relevant conditions. We used this data to build models to directly predict experimental outcomes using computational features. For more information, please read the manuscript <a class="reference external" href="http://arxiv.org/abs/2411.11783">paper</a>.</p>
+<section id="experimental-datasets">
+<h2>Experimental datasets<a class="headerlink" href="#experimental-datasets" title="Link to this heading">#</a></h2>
+<p>To support this work, we performed X-ray fluorescence (XRF), X-ray diffraction (XRD), and electrochemical testing. Summaries of this data is all publically available <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/src/fairchem/applications/ocx/data/experimental_data">here</a>.</p>
+</section>
+<section id="computational-datasets">
+<h2>Computational datasets<a class="headerlink" href="#computational-datasets" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Computational screening data</p></td>
+<td><p>1.5G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/ocx24/comp_df_241022.csv">9e75b95bb1a2ae691f07cf630eac3378</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="citing-this-work">
+<h2>Citing this work<a class="headerlink" href="#citing-this-work" title="Link to this heading">#</a></h2>
+<p>If you use this codebase in your work, please consider citing:</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@misc</span><span class="p">{</span><span class="nl">abed2024opencatalystexperiments2024</span><span class="p">,</span>
+<span class="w">      </span><span class="na">title</span><span class="p">=</span><span class="s">{Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models}</span><span class="p">,</span><span class="w"> </span>
+<span class="w">      </span><span class="na">author</span><span class="p">=</span><span class="s">{Jehad Abed and Jiheon Kim and Muhammed Shuaibi and Brook Wander and Boris Duijf and Suhas Mahesh and Hyeonseok Lee and Vahe Gharakhanyan and Sjoerd Hoogland and Erdem Irtem and Janice Lan and Niels Schouten and Anagha Usha Vijayakumar and Jason Hattrick-Simpers and John R. Kitchin and Zachary W. Ulissi and Aaike van Vugt and Edward H. Sargent and David Sinton and C. Lawrence Zitnick}</span><span class="p">,</span>
+<span class="w">      </span><span class="na">year</span><span class="p">=</span><span class="s">{2024}</span><span class="p">,</span>
+<span class="w">      </span><span class="na">eprint</span><span class="p">=</span><span class="s">{2411.11783}</span><span class="p">,</span>
+<span class="w">      </span><span class="na">archivePrefix</span><span class="p">=</span><span class="s">{arXiv}</span><span class="p">,</span>
+<span class="w">      </span><span class="na">primaryClass</span><span class="p">=</span><span class="s">{cond-mat.mtrl-sci}</span><span class="p">,</span>
+<span class="w">      </span><span class="na">url</span><span class="p">=</span><span class="s">{https://arxiv.org/abs/2411.11783}</span><span class="p">,</span><span class="w"> </span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+</section>
+
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diff --git a/core/datasets/odac.html b/core/datasets/odac.html
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Open Direct Air Capture 2023 (ODAC23)</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-energy-and-forces-s2ef-task">Structure to Energy and Forces (S2EF) task</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-structure-is2rs-relaxed-energy-is2re-tasks">Initial Structure to Relaxed Structure (IS2RS) / Relaxed Energy (IS2RE) tasks</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#ddec-charges">DDEC Charges</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-odac23">Citing ODAC23</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="open-direct-air-capture-2023-odac23">
+<h1>Open Direct Air Capture 2023 (ODAC23)<a class="headerlink" href="#open-direct-air-capture-2023-odac23" title="Link to this heading">#</a></h1>
+<section id="structure-to-energy-and-forces-s2ef-task">
+<h2>Structure to Energy and Forces (S2EF) task<a class="headerlink" href="#structure-to-energy-and-forces-s2ef-task" title="Link to this heading">#</a></h2>
+<p>We provide precomputed LMDBs for train, validation, and the various test sets that can be used directly with the dataloaders provided in our code. The LMDBs contain input structures from all points in relaxation trajectories along with the energy of the structure and the atomic forces. The dataset contains an in-domain test set and 4 out-of-domain test sets (ood-large, ood-linker, ood-topology, and ood-linker &amp; topology). All LMDbs  are compressed into a single <code class="docutils literal notranslate"><span class="pre">.tar.gz</span></code> file.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Train + Validation + Test (all splits)</p></td>
+<td><p>172G</p></td>
+<td><p>476G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/large_objects/dac/datasets/odac23_s2ef.tar.gz">162f0660b2f1c9209c5b57f7b9e545a7</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p>The train and val splits are also available in <code class="docutils literal notranslate"><span class="pre">extxyz</span></code> formats. Each trajectory is in stored in a different <code class="docutils literal notranslate"><span class="pre">extxyz</span></code> file.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Train</p></td>
+<td><p>232G</p></td>
+<td><p>781G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/large_objects/dac/datasets/extxyz_train.tar.gz">381e72fd8b9c055065fd3afff6b0945b</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>Val</p></td>
+<td><p>5.1G</p></td>
+<td><p>18G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/datasets/extxyz_val.tar.gz">09913759c6e0f8d649f7ec9dff9e0e8b</a></p></td>
+</tr>
+<tr class="row-even"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="initial-structure-to-relaxed-structure-is2rs-relaxed-energy-is2re-tasks">
+<h2>Initial Structure to Relaxed Structure (IS2RS) / Relaxed Energy (IS2RE) tasks<a class="headerlink" href="#initial-structure-to-relaxed-structure-is2rs-relaxed-energy-is2re-tasks" title="Link to this heading">#</a></h2>
+<p>For IS2RE / IS2RS training, validation and test sets, we provide precomputed LMDBs that can be directly used with dataloaders provided in our code. The LMDBs contain input initial structures and the output relaxed structures and energies. The dataset contains an in-domain test set and 4 out-of-domain test sets (ood-large, ood-linker, ood-topology, and ood-linker &amp; topology). All LMDBs are compressed into a single <code class="docutils literal notranslate"><span class="pre">.tar.gz</span></code> file.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Splits</p></th>
+<th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Train + Validation + Test (all splits)</p></td>
+<td><p>809M</p></td>
+<td><p>2.2G</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/datasets/odac23_is2r.tar.gz">f7f2f58669a30abae8cb9ba1b7f2bcd2</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="ddec-charges">
+<h2>DDEC Charges<a class="headerlink" href="#ddec-charges" title="Link to this heading">#</a></h2>
+<p>We provide DDEC charges computed for all MOFs in the ODAC23 dataset. A small number of MOFs (~2%) are missing these charges because the DDEC calcuations failed for them.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Size of compressed version (in bytes)</p></th>
+<th class="head"><p>Size of uncompressed version (in bytes)</p></th>
+<th class="head"><p>MD5 checksum (download link)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>147M</p></td>
+<td><p>534M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/datasets/ddec.tar.gz">81927b78d9e4184cc3c398e79760126a</a></p></td>
+</tr>
+<tr class="row-odd"><td><p></p></td>
+<td><p></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="citing-odac23">
+<h2>Citing ODAC23<a class="headerlink" href="#citing-odac23" title="Link to this heading">#</a></h2>
+<p>The OpenDAC 2023 (ODAC23) dataset is licensed under a <a class="reference external" href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 License</a>.</p>
+<p>Please consider citing the following paper in any research manuscript using the ODAC23 dataset:</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">odac23_dataset</span><span class="p">,</span>
+<span class="w">    </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Anuroop Sriram and Sihoon Choi and Xiaohan Yu and Logan M. Brabson and Abhishek Das and Zachary Ulissi and Matt Uyttendaele and Andrew J. Medford and David S. Sholl}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">year</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2023}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">journal</span><span class="p">=</span><span class="s">{arXiv preprint arXiv:2311.00341}</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+</section>
+
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Open Materials 2024 (OMat24)</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#overview">Overview</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#subdatasets">Subdatasets</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#file-contents-and-downloads">File contents and downloads</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#omat24-train-split">OMat24 train split</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#omat24-val-split-this-is-a-1m-subset-used-to-train-eqv2-models-from-the-5m-val-split">OMat24 val split (this is a 1M subset used to train eqV2 models from the 5M val split)</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#salex-dataset">sAlex Dataset</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#getting-ase-atoms-objects">Getting ASE atoms objects</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-omat24">Citing OMat24</a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="open-materials-2024-omat24">
+<h1>Open Materials 2024 (OMat24)<a class="headerlink" href="#open-materials-2024-omat24" title="Link to this heading">#</a></h1>
+<section id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Link to this heading">#</a></h2>
+<p>The OMat24 dataset contains a mix of single point calculations of non-equilibrium structures and
+structural relaxations. The dataset contains structures labeled with total energy (eV), forces (eV/A)
+and stress (eV/A^3). The dataset is provided in ASE DB compatible lmdb files.</p>
+<p>The OMat24 train and val splits are fully compatible with the Matbench-Discovery benchmark test set.</p>
+<ol class="arabic simple">
+<li><p>The splits do not contain any structure that has a protostructure label present in the initial or relaxed
+structures of the WBM dataset.</p></li>
+<li><p>The splits do not include any structure that was generated starting from an Alexandria relaxed structure with
+protostructure lable in the intitial or relaxed structures of the  WBM datset.</p></li>
+</ol>
+</section>
+<section id="subdatasets">
+<h2>Subdatasets<a class="headerlink" href="#subdatasets" title="Link to this heading">#</a></h2>
+<p>OMat24 is made up of X subdatasets based on how the structures were generated. The subdatasets included are:</p>
+<ol class="arabic simple">
+<li><p>rattled-1000-subsampled &amp; rattled-1000</p></li>
+<li><p>rattled-500-subsampled &amp; rattled-300</p></li>
+<li><p>rattled-300-subsampled &amp; rattled-500</p></li>
+<li><p>aimd-from-PBE-1000-npt</p></li>
+<li><p>aimd-from-PBE-1000-nvt</p></li>
+<li><p>aimd-from-PBE-3000-npt</p></li>
+<li><p>aimd-from-PBE-3000-nvt</p></li>
+<li><p>rattled-relax</p></li>
+</ol>
+<p><strong>Note</strong> There are two subdatasets for the rattled-&lt; T &gt; datasets. Both subdatasets in each pair were generated with the
+same procedure as described in our manuscript.</p>
+</section>
+<section id="file-contents-and-downloads">
+<h2>File contents and downloads<a class="headerlink" href="#file-contents-and-downloads" title="Link to this heading">#</a></h2>
+<section id="omat24-train-split">
+<h3>OMat24 train split<a class="headerlink" href="#omat24-train-split" title="Link to this heading">#</a></h3>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head text-center"><p>Sub-dataset</p></th>
+<th class="head text-center"><p>No. structures</p></th>
+<th class="head text-center"><p>File size</p></th>
+<th class="head text-center"><p>Download</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td class="text-center"><p>rattled-1000</p></td>
+<td class="text-center"><p>122,937</p></td>
+<td class="text-center"><p>21 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-1000.tar.gz">rattled-1000.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>rattled-1000-subsampled</p></td>
+<td class="text-center"><p>41,786</p></td>
+<td class="text-center"><p>7.1 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-1000-subsampled.tar.gz">rattled-1000-subsampled.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>rattled-500</p></td>
+<td class="text-center"><p>75,167</p></td>
+<td class="text-center"><p>13 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-500.tar.gz">rattled-500.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>rattled-500-subsampled</p></td>
+<td class="text-center"><p>43,068</p></td>
+<td class="text-center"><p>7.3 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-500-subsampled.tar.gz">rattled-500-subsampled.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>rattled-300</p></td>
+<td class="text-center"><p>68,593</p></td>
+<td class="text-center"><p>12 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-300.tar.gz">rattled-300.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>rattled-300-subsampled</p></td>
+<td class="text-center"><p>37,393</p></td>
+<td class="text-center"><p>6.4 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-300-subsampled.tar.gz">rattled-300-subsampled.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>aimd-from-PBE-1000-npt</p></td>
+<td class="text-center"><p>223,574</p></td>
+<td class="text-center"><p>26 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/aimd-from-PBE-1000-npt.tar.gz">aimd-from-PBE-1000-npt.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>aimd-from-PBE-1000-nvt</p></td>
+<td class="text-center"><p>215,589</p></td>
+<td class="text-center"><p>24 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/aimd-from-PBE-1000-nvt.tar.gz">aimd-from-PBE-1000-nvt.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>aimd-from-PBE-3000-npt</p></td>
+<td class="text-center"><p>65,244</p></td>
+<td class="text-center"><p>25 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/aimd-from-PBE-3000-npt.tar.gz">aimd-from-PBE-3000-npt.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>aimd-from-PBE-3000-nvt</p></td>
+<td class="text-center"><p>84,063</p></td>
+<td class="text-center"><p>32 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/aimd-from-PBE-3000-nvt.tar.gz">aimd-from-PBE-3000-nvt.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>rattled-relax</p></td>
+<td class="text-center"><p>99,968</p></td>
+<td class="text-center"><p>12 GB</p></td>
+<td class="text-center"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/omat/train/rattled-relax.tar.gz">rattled-relax.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>Total</p></td>
+<td class="text-center"><p>1,077,382</p></td>
+<td class="text-center"><p>185.8 GB</p></td>
+<td class="text-center"><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="omat24-val-split-this-is-a-1m-subset-used-to-train-eqv2-models-from-the-5m-val-split">
+<h3>OMat24 val split (this is a 1M subset used to train eqV2 models from the 5M val split)<a class="headerlink" href="#omat24-val-split-this-is-a-1m-subset-used-to-train-eqv2-models-from-the-5m-val-split" title="Link to this heading">#</a></h3>
+<p><strong><em>NOTE:</em></strong> The original validation sets contained a duplicated structures. Corrected validation sets were uploaded on 20/12/24. Please see this <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/issues/942">issue</a>
+for more details, an re-download the correct version of the validation sets if needed.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head text-center"><p>Sub-dataset</p></th>
+<th class="head text-center"><p>Size</p></th>
+<th class="head text-center"><p>File Size</p></th>
+<th class="head text-right"><p>Download</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td class="text-center"><p>rattled-1000</p></td>
+<td class="text-center"><p>117,004</p></td>
+<td class="text-center"><p>218 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-1000.tar.gz">rattled-1000.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>rattled-1000-subsampled</p></td>
+<td class="text-center"><p>39,785</p></td>
+<td class="text-center"><p>77 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-1000-subsampled.tar.gz">rattled-1000-subsampled.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>rattled-500</p></td>
+<td class="text-center"><p>71,522</p></td>
+<td class="text-center"><p>135 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-500.tar.gz">rattled-500.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>rattled-500-subsampled</p></td>
+<td class="text-center"><p>41,021</p></td>
+<td class="text-center"><p>79 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-500-subsampled.tar.gz">rattled-500-subsampled.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>rattled-300</p></td>
+<td class="text-center"><p>65,235</p></td>
+<td class="text-center"><p>122 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-300.tar.gz">rattled-300.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>rattled-300-subsampled</p></td>
+<td class="text-center"><p>35,579</p></td>
+<td class="text-center"><p>69 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-300-subsampled.tar.gz">rattled-300-subsampled.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>aimd-from-PBE-1000-npt</p></td>
+<td class="text-center"><p>212,737</p></td>
+<td class="text-center"><p>261 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/aimd-from-PBE-1000-npt.tar.gz">aimd-from-PBE-1000-npt.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>aimd-from-PBE-1000-nvt</p></td>
+<td class="text-center"><p>205,165</p></td>
+<td class="text-center"><p>251 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/aimd-from-PBE-1000-nvt.tar.gz">aimd-from-PBE-1000-nvt.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>aimd-from-PBE-3000-npt</p></td>
+<td class="text-center"><p>62,130</p></td>
+<td class="text-center"><p>282 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/aimd-from-PBE-3000-npt.tar.gz">aimd-from-PBE-3000-npt.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>aimd-from-PBE-3000-nvt</p></td>
+<td class="text-center"><p>79,977</p></td>
+<td class="text-center"><p>364 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/aimd-from-PBE-3000-nvt.tar.gz">aimd-from-PBE-3000-nvt.tar.gz</a></p></td>
+</tr>
+<tr class="row-even"><td class="text-center"><p>rattled-relax</p></td>
+<td class="text-center"><p>95,206</p></td>
+<td class="text-center"><p>118 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241220/omat/val/rattled-relax.tar.gz">rattled-relax.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>Total</p></td>
+<td class="text-center"><p>1,025,361</p></td>
+<td class="text-center"><p>1.98 GB</p></td>
+<td class="text-right"><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="salex-dataset">
+<h3>sAlex Dataset<a class="headerlink" href="#salex-dataset" title="Link to this heading">#</a></h3>
+<p>We also provide the sAlex dataset used for fine-tuning of our OMat models. sAlex is a subsampled, Matbench-Discovery compliant, version of the original <a class="reference external" href="https://alexandria.icams.rub.de/">Alexandria</a>.
+sAlex was created by removing structures matched in WBM and only sampling structure along a trajectory with an energy difference greater than 10 meV/atom. For full details,
+please see the manuscript.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head text-center"><p>Dataset</p></th>
+<th class="head text-center"><p>Split</p></th>
+<th class="head text-center"><p>No. Structures</p></th>
+<th class="head text-center"><p>File Size</p></th>
+<th class="head text-right"><p>Download</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td class="text-center"><p>sAlex</p></td>
+<td class="text-center"><p>train</p></td>
+<td class="text-center"><p>10,447,765</p></td>
+<td class="text-center"><p>7.6 GB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/sAlex/train.tar.gz">train.tar.gz</a></p></td>
+</tr>
+<tr class="row-odd"><td class="text-center"><p>sAlex</p></td>
+<td class="text-center"><p>val</p></td>
+<td class="text-center"><p>553,218</p></td>
+<td class="text-center"><p>408 MB</p></td>
+<td class="text-right"><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/data/omat/241018/sAlex/val.tar.gz">val.tar.gz</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+</section>
+<section id="getting-ase-atoms-objects">
+<h2>Getting ASE atoms objects<a class="headerlink" href="#getting-ase-atoms-objects" title="Link to this heading">#</a></h2>
+<p>Dataset files are written as <code class="docutils literal notranslate"><span class="pre">AseLMDBDatabase</span></code> objects which are an implementation of an <a class="reference external" href="https://wiki.fysik.dtu.dk/ase/ase/db/db.html">ASE Database</a>,
+in LMDB format. A single *<em>.aselmdb</em> file can be read and queried like any other ASE DB.</p>
+<p>You can also read many DB files at once and access atoms objects using the <code class="docutils literal notranslate"><span class="pre">AseDBDataset</span></code> class.</p>
+<p>For example to read the <strong>rattled-relax</strong> subdataset,</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">AseDBDataset</span>
+
+<span class="n">dataset_path</span> <span class="o">=</span> <span class="s2">&quot;/path/to/omat24/train/rattled-relax&quot;</span>
+<span class="n">config_kwargs</span> <span class="o">=</span> <span class="p">{}</span>  <span class="c1"># see tutorial on additiona configuration</span>
+
+<span class="n">dataset</span> <span class="o">=</span> <span class="n">AseDBDataset</span><span class="p">(</span><span class="n">config</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">src</span><span class="o">=</span><span class="n">dataset_path</span><span class="p">,</span> <span class="o">**</span><span class="n">config_kwargs</span><span class="p">))</span>
+
+<span class="c1"># atoms objects can be retrieved by index</span>
+<span class="n">atoms</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">get_atoms</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>To read more than one subdataset you can simply pass a list of subdataset paths,</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">AseDBDataset</span>
+
+<span class="n">config_kwargs</span> <span class="o">=</span> <span class="p">{}</span>  <span class="c1"># see tutorial on additiona configuration</span>
+<span class="n">dataset_paths</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">&quot;/path/to/omat24/train/rattled-relax&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;/path/to/omat24/train/rattled-1000-subsampled&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;/path/to/omat24/train/rattled-1000&quot;</span><span class="p">,</span>
+<span class="p">]</span>
+<span class="n">dataset</span> <span class="o">=</span> <span class="n">AseDBDataset</span><span class="p">(</span><span class="n">config</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">src</span><span class="o">=</span><span class="n">dataset_paths</span><span class="p">,</span> <span class="o">**</span><span class="n">config_kwargs</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>To read all of the OMat24 training or validations splits simply pass the paths to all subdatasets.</p>
+<section id="citing-omat24">
+<h3>Citing OMat24<a class="headerlink" href="#citing-omat24" title="Link to this heading">#</a></h3>
+<p>The OMat24 dataset is licensed under a <a class="reference external" href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 License</a>.</p>
+<p>Please consider citing the following paper in any publications that uses this dataset:</p>
+<div class="highlight-bib notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">barroso_omat24</span><span class="p">,</span>
+<span class="w">  </span><span class="na">title</span><span class="p">=</span><span class="s">{Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">author</span><span class="p">=</span><span class="s">{Barroso-Luque, Luis and Muhammed, Shuaibi and Fu, Xiang and Wood, Brandon, Dzamba, Misko, and Gao, Meng and Rizvi, Ammar and  Zitnick, C. Lawrence and Ulissi, Zachary W.}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">journal</span><span class="p">=</span><span class="s">{arXiv preprint arXiv:2410.12771}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">year</span><span class="p">=</span><span class="s">{2024}</span>
+<span class="p">}</span>
+<span class="nc">@article</span><span class="p">{</span><span class="nl">schmidt_2023_machine</span><span class="p">,</span>
+<span class="w">  </span><span class="na">title</span><span class="p">=</span><span class="s">{Machine-Learning-Assisted Determination of the Global Zero-Temperature Phase Diagram of Materials}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">author</span><span class="p">=</span><span class="s">{Schmidt, Jonathan and Hoffmann, Noah and Wang, Hai-Chen and Borlido, Pedro and Carri{\c{c}}o, Pedro JMA and Cerqueira, Tiago FT and Botti, Silvana and Marques, Miguel AL}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">journal</span><span class="p">=</span><span class="s">{Advanced Materials}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">volume</span><span class="p">=</span><span class="s">{35}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">number</span><span class="p">=</span><span class="s">{22}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">pages</span><span class="p">=</span><span class="s">{2210788}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">year</span><span class="p">=</span><span class="s">{2023}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">url</span><span class="p">=</span><span class="s">{https://onlinelibrary.wiley.com/doi/full/10.1002/adma.202210788}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">publisher</span><span class="p">=</span><span class="s">{Wiley Online Library}</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#overview">Overview</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#subdatasets">Subdatasets</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#file-contents-and-downloads">File contents and downloads</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#omat24-train-split">OMat24 train split</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#omat24-val-split-this-is-a-1m-subset-used-to-train-eqv2-models-from-the-5m-val-split">OMat24 val split (this is a 1M subset used to train eqV2 models from the 5M val split)</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#salex-dataset">sAlex Dataset</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#getting-ase-atoms-objects">Getting ASE atoms objects</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-omat24">Citing OMat24</a></li>
+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Fine tuning a model</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Fine tuning a model</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#fine-tuning-the-checkpoint">Fine tuning the checkpoint</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#make-the-train-test-val-splits">Make the train, test, val splits</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#setting-up-the-configuration-yaml-file">Setting up the configuration yaml file</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#running-the-training-job">Running the training job</a></li>
+</ul>
+</li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="fine-tuning-a-model">
+<h1>Fine tuning a model<a class="headerlink" href="#fine-tuning-a-model" title="Link to this heading">#</a></h1>
+<p>In this section we look at how to improve a model. We start by using a pre-trained model to predict the energies of several oxide polymorphs. The data here comes from this paper:</p>
+<p>Identifying Potential BO<sub>2</sub> Oxide Polymorphs for Epitaxial Growth Candidates
+Mehta, P., Salvador, P. A., &amp; Kitchin, J. R. (2015). Identifying potential BO2 oxide polymorphs for epitaxial growth candidates. ACS Appl. Mater. Interfaces, 6(5), 3630–3639. http://dx.doi.org/10.1021/am4059149.</p>
+<p>This data set shows equations of state for several oxide/polymorph combinations. I use this dataset to compare with predictions from OCP</p>
+<p>First we get the checkpoint that we want. According to the <a class="reference internal" href="#../../core/models"><span class="xref myst">MODELS</span></a> the GemNet-OC	OC20+OC22 combination has an energy MAE of 0.483 which seems like a good place to start. This model was trained on oxides.</p>
+<p>We get this checkpoint here.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EFS-OC20+OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>The data we need is provided in <code class="docutils literal notranslate"><span class="pre">supporting-information.json</span></code>. That file is embedded in the supporting information for the article, and is provided here in the tutorial. We load this data and explore it a little. The json file provides a dictionary with the structure:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>[oxide][polymorph][xc][EOS][configurations]
+</pre></div>
+</div>
+<p>The first key is a composition, the second is a string for the polymorph structure, the third indicates which XC functional was used (we focus on PBE here), the fourth key is for the Equation of State calculations, and the last key is a list of results for the EOS.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">json</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase</span><span class="w"> </span><span class="kn">import</span> <span class="n">Atoms</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.scripts</span><span class="w"> </span><span class="kn">import</span> <span class="n">download_large_files</span>
+
+<span class="n">download_large_files</span><span class="o">.</span><span class="n">download_file_group</span><span class="p">(</span><span class="s2">&quot;docs&quot;</span><span class="p">)</span>
+
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;supporting-information.json&#39;</span><span class="p">,</span> <span class="s1">&#39;rb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+     <span class="n">d</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
+        
+
+<span class="n">oxides</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+<span class="n">polymorphs</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">d</span><span class="p">[</span><span class="s1">&#39;TiO2&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+<span class="n">oxides</span><span class="p">,</span> <span class="n">polymorphs</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading docs/tutorials/NRR/NRR_example_bulks.pkl...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading docs/core/fine-tuning/supporting-information.json...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading docs/core/data.db...
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>([&#39;SnO2&#39;, &#39;IrO2&#39;, &#39;RuO2&#39;, &#39;TiO2&#39;, &#39;VO2&#39;],
+ [&#39;rutile&#39;, &#39;pyrite&#39;, &#39;columbite&#39;, &#39;brookite&#39;, &#39;fluorite&#39;, &#39;anatase&#39;])
+</pre></div>
+</div>
+</div>
+</div>
+<p>A specific calculation has a lot of details in it. You can use this to recreate the calculations. Shortly we will use these to compare the DFT results to OCP.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">d</span><span class="p">[</span><span class="s1">&#39;TiO2&#39;</span><span class="p">][</span><span class="s1">&#39;rutile&#39;</span><span class="p">][</span><span class="s1">&#39;PBE&#39;</span><span class="p">][</span><span class="s1">&#39;EOS&#39;</span><span class="p">][</span><span class="s1">&#39;calculations&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;incar&#39;: {&#39;doc&#39;: &#39;INCAR parameters&#39;,
+  &#39;prec&#39;: &#39;Normal&#39;,
+  &#39;isif&#39;: 4,
+  &#39;nbands&#39;: 20,
+  &#39;ibrion&#39;: 2,
+  &#39;gga&#39;: &#39;PE&#39;,
+  &#39;encut&#39;: 520.0,
+  &#39;ismear&#39;: 0,
+  &#39;sigma&#39;: 0.001,
+  &#39;nsw&#39;: 50},
+ &#39;doc&#39;: &#39;JSON representation of a VASP calculation.\n\nenergy is in eV\nforces are in eV/\\AA\nstress is in GPa (sxx, syy, szz,  syz, sxz, sxy)\nmagnetic moments are in Bohr-magneton\nThe density of states is reported with E_f at 0 eV.\nVolume is reported in \\AA^3\nCoordinates and cell parameters are reported in \\AA\n\nIf atom-projected dos are included they are in the form:\n{ados:{energy:data, {atom index: {orbital : dos}}}\n&#39;,
+ &#39;potcar&#39;: [[&#39;O&#39;,
+   &#39;potpaw/O/POTCAR&#39;,
+   &#39;0cf2ce56049ca395c567026b700ed66c94a85161&#39;],
+  [&#39;Ti&#39;, &#39;potpaw/Ti/POTCAR&#39;, &#39;51f7f05982d6b4052becc160375a8b8b670177a7&#39;]],
+ &#39;input&#39;: {&#39;kpts&#39;: [6, 6, 6],
+  &#39;reciprocal&#39;: False,
+  &#39;xc&#39;: &#39;LDA&#39;,
+  &#39;kpts_nintersections&#39;: None,
+  &#39;setups&#39;: None,
+  &#39;txt&#39;: &#39;-&#39;,
+  &#39;gamma&#39;: False},
+ &#39;atoms&#39;: {&#39;cell&#39;: [[4.3789762519649225, 0.0, 0.0],
+   [0.0, 4.3789762519649225, 0.0],
+   [0.0, 0.0, 2.864091775985314]],
+  &#39;symbols&#39;: [&#39;Ti&#39;, &#39;Ti&#39;, &#39;O&#39;, &#39;O&#39;, &#39;O&#39;, &#39;O&#39;],
+  &#39;tags&#39;: [0, 0, 0, 0, 0, 0],
+  &#39;pbc&#39;: [True, True, True],
+  &#39;positions&#39;: [[0.0, 0.0, 0.0],
+   [2.1894881259824612, 2.1894881259824612, 1.432045887992657],
+   [1.3181554154438013, 1.3181554154438013, 0.0],
+   [3.0608208365211214, 3.0608208365211214, 0.0],
+   [3.5076435414262623, 0.87133271053866, 1.432045887992657],
+   [0.87133271053866, 3.5076435414262623, 1.432045887992657]]},
+ &#39;data&#39;: {&#39;stress&#39;: [496.18519999, 496.18519999, 502.82679392, 0.0, 0.0, 0.0],
+  &#39;doc&#39;: &#39;Data from the output of the calculation&#39;,
+  &#39;volume&#39;: 54.92019999999996,
+  &#39;total_energy&#39;: -56.230672,
+  &#39;forces&#39;: [[0.0, 0.0, 0.0],
+   [0.0, 0.0, 0.0],
+   [-0.001264, -0.001264, 0.0],
+   [0.001264, 0.001264, 0.0],
+   [-0.001264, 0.001264, 0.0],
+   [0.001264, -0.001264, 0.0]],
+  &#39;fermi_level&#39;: 3.153}}
+</pre></div>
+</div>
+</div>
+</div>
+<p>For each result we can retrieve the atomic geometry, energy and forces from the json file. We use these to recreate an Atoms object. Here is an example.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">c</span> <span class="o">=</span> <span class="n">d</span><span class="p">[</span><span class="s1">&#39;TiO2&#39;</span><span class="p">][</span><span class="s1">&#39;rutile&#39;</span><span class="p">][</span><span class="s1">&#39;PBE&#39;</span><span class="p">][</span><span class="s1">&#39;EOS&#39;</span><span class="p">][</span><span class="s1">&#39;calculations&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">atoms</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">(</span><span class="n">symbols</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;symbols&#39;</span><span class="p">],</span>
+              <span class="n">positions</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;positions&#39;</span><span class="p">],</span>
+              <span class="n">cell</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;cell&#39;</span><span class="p">],</span>
+              <span class="n">pbc</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;pbc&#39;</span><span class="p">])</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>
+<span class="n">atoms</span><span class="p">,</span> <span class="n">c</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">][</span><span class="s1">&#39;total_energy&#39;</span><span class="p">],</span> <span class="n">c</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">][</span><span class="s1">&#39;forces&#39;</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(Atoms(symbols=&#39;Ti2O4&#39;, pbc=True, cell=[4.3789762519649225, 4.3789762519649225, 2.864091775985314], tags=...),
+ -56.230672,
+ [[0.0, 0.0, 0.0],
+  [0.0, 0.0, 0.0],
+  [-0.001264, -0.001264, 0.0],
+  [0.001264, 0.001264, 0.0],
+  [-0.001264, 0.001264, 0.0],
+  [0.001264, -0.001264, 0.0]])
+</pre></div>
+</div>
+</div>
+</div>
+<p>Next, we will create an OCP calculator that we can use to get predictions from.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">trainer</span><span class="o">=</span><span class="s1">&#39;forces&#39;</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/fine-tuning/checkpoints/2025-01-21-19-29-04
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/fine-tuning/logs/wandb/2025-01-21-19-29-04
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/fine-tuning/results/2025-01-21-19-29-04
+  seed: null
+  timestamp_id: 2025-01-21-19-29-04
+  version: 0.1.dev1+gc162617
+dataset:
+  format: oc22_lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  oc20_ref: /checkpoint/janlan/ocp/other_data/final_ref_energies_02_07_2021.pkl
+  raw_energy_target: true
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  factor: 0.8
+  force_coefficient: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_initial: 0.0005
+  max_epochs: 80
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/57632342
+  gpus_per_node: 8
+  job_id: &#39;57632342&#39;
+  job_name: gnoc_oc22_oc20_all_s2ef
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: ocp,learnaccel
+  time: 4320
+task:
+  dataset: oc22_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetOC with 38864438 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
+</div>
+<p>Now, we loop through each structure and accumulate the OCP predictions. Then, we plot the parity results.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
+<span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+
+<span class="n">eos_data</span> <span class="o">=</span> <span class="p">{}</span>
+<span class="k">for</span> <span class="n">oxide</span> <span class="ow">in</span> <span class="n">oxides</span><span class="p">:</span>
+    <span class="n">eos_data</span><span class="p">[</span><span class="n">oxide</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="k">for</span> <span class="n">polymorph</span> <span class="ow">in</span> <span class="n">polymorphs</span><span class="p">:</span>
+        <span class="n">dft</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">ocp</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">vols</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">calculations</span> <span class="o">=</span> <span class="n">d</span><span class="p">[</span><span class="n">oxide</span><span class="p">][</span><span class="n">polymorph</span><span class="p">][</span><span class="s1">&#39;PBE&#39;</span><span class="p">][</span><span class="s1">&#39;EOS&#39;</span><span class="p">][</span><span class="s1">&#39;calculations&#39;</span><span class="p">]</span>
+        <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">calculations</span><span class="p">:</span>
+                        
+            <span class="n">atoms</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">(</span><span class="n">symbols</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;symbols&#39;</span><span class="p">],</span>
+                          <span class="n">positions</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;positions&#39;</span><span class="p">],</span>
+                          <span class="n">cell</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;cell&#39;</span><span class="p">],</span>
+                          <span class="n">pbc</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;pbc&#39;</span><span class="p">])</span>
+            <span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>
+            
+            <span class="n">atoms</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+            <span class="n">ocp</span> <span class="o">+=</span> <span class="p">[</span><span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)]</span>
+            <span class="n">dft</span> <span class="o">+=</span> <span class="p">[</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">][</span><span class="s1">&#39;total_energy&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)]</span>
+            <span class="n">vols</span> <span class="o">+=</span> <span class="p">[</span><span class="n">atoms</span><span class="o">.</span><span class="n">get_volume</span><span class="p">()]</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">dft</span><span class="p">,</span> <span class="n">ocp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;s&#39;</span> <span class="k">if</span> <span class="n">oxide</span> <span class="o">==</span> <span class="s1">&#39;VO2&#39;</span> <span class="k">else</span> <span class="s1">&#39;.&#39;</span><span class="p">,</span>
+                 <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">oxide</span><span class="si">}</span><span class="s1">-</span><span class="si">{</span><span class="n">polymorph</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="n">eos_data</span><span class="p">[</span><span class="n">oxide</span><span class="p">][</span><span class="n">polymorph</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">vols</span><span class="p">,</span> <span class="n">dft</span><span class="p">,</span> <span class="n">ocp</span><span class="p">)</span>
+        
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;DFT (eV/atom)&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;OCP (eV/atom)&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s1">&#39;center left&#39;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">),</span> <span class="n">ncol</span><span class="o">=</span><span class="mi">3</span><span class="p">);</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Elapsed time </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds.&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 85.8 seconds.
+</pre></div>
+</div>
+<img alt="../../_images/6f9c7e03c7052e94e1152362108d26cc5fcb52d81de6a4c18f15faa1bfd233e3.png" src="../../_images/6f9c7e03c7052e94e1152362108d26cc5fcb52d81de6a4c18f15faa1bfd233e3.png" />
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">mae</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">dft</span><span class="p">)</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">ocp</span><span class="p">)))</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;MAE = </span><span class="si">{</span><span class="n">mae</span><span class="si">:</span><span class="s1">1.3f</span><span class="si">}</span><span class="s1"> eV/atom&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>MAE = 1.669 eV/atom
+</pre></div>
+</div>
+</div>
+</div>
+<p>The MAE is somewhat high compared to the reported value of 0.458 eV. That is not too surprising; although OC22 was trained on oxides, it was not trained on all of these structures. It is also evident on inspection that the main issues are all the VO2 structures, and these skew the MAE. Next we look at the EOS for each material. Here you can see offsets, and qualitative issues in the shapes. The offset is largely a PBE/RPBE difference.</p>
+<p>Some notable issues are with fluorite structures. We show one here for VO2.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">oxide</span><span class="p">,</span> <span class="n">polymorph</span> <span class="o">=</span> <span class="s1">&#39;VO2&#39;</span><span class="p">,</span> <span class="s1">&#39;fluorite&#39;</span>
+<span class="n">V</span><span class="p">,</span> <span class="n">D</span><span class="p">,</span> <span class="n">O</span> <span class="o">=</span> <span class="n">eos_data</span><span class="p">[</span><span class="n">oxide</span><span class="p">][</span><span class="n">polymorph</span><span class="p">]</span>
+        
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">V</span><span class="p">,</span> <span class="n">D</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;dft&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">V</span><span class="p">,</span> <span class="n">O</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;ocp&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;pretrained </span><span class="si">{</span><span class="n">oxide</span><span class="si">}</span><span class="s1"> - </span><span class="si">{</span><span class="n">polymorph</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../../_images/a745fbd7f5021dc648fc601d3d12cd74b40e6c5dc4612c6e2373272d0b4e3e6f.png" src="../../_images/a745fbd7f5021dc648fc601d3d12cd74b40e6c5dc4612c6e2373272d0b4e3e6f.png" />
+</div>
+</div>
+<p>We can improve this by fine-tuning the model.</p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="fine-tuning-the-checkpoint">
+<h1>Fine tuning the checkpoint<a class="headerlink" href="#fine-tuning-the-checkpoint" title="Link to this heading">#</a></h1>
+<p>There are severeal steps in fine-tuning:</p>
+<ol class="arabic simple">
+<li><p>Create train, test, val datasets</p></li>
+<li><p>Create a configuration yml file</p></li>
+<li><p>Run the training</p></li>
+<li><p>Check the results</p></li>
+</ol>
+<p>First we create the training databases. OCP supports ase databases, so we use those here. The first step is to make a database containing the data. We need to write an atoms object with an attached SinglePointCalculator for each structure.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.db</span><span class="w"> </span><span class="kn">import</span> <span class="n">connect</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.calculators.singlepoint</span><span class="w"> </span><span class="kn">import</span> <span class="n">SinglePointCalculator</span>
+
+<span class="o">!</span><span class="w"> </span>rm<span class="w"> </span>-fr<span class="w"> </span>oxides.db<span class="w">  </span>#<span class="w"> </span>start<span class="w"> </span>clean<span class="w"> </span>when<span class="w"> </span>you<span class="w"> </span>run<span class="w"> </span>this<span class="w"> </span>cell
+<span class="n">db</span> <span class="o">=</span> <span class="n">connect</span><span class="p">(</span><span class="s1">&#39;oxides.db&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">oxide</span> <span class="ow">in</span> <span class="n">oxides</span><span class="p">:</span>
+    <span class="k">for</span> <span class="n">polymorph</span> <span class="ow">in</span> <span class="n">polymorphs</span><span class="p">:</span>
+        <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">d</span><span class="p">[</span><span class="n">oxide</span><span class="p">][</span><span class="n">polymorph</span><span class="p">][</span><span class="s1">&#39;PBE&#39;</span><span class="p">][</span><span class="s1">&#39;EOS&#39;</span><span class="p">][</span><span class="s1">&#39;calculations&#39;</span><span class="p">]:</span>
+            <span class="n">atoms</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">(</span><span class="n">symbols</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;symbols&#39;</span><span class="p">],</span>
+                          <span class="n">positions</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;positions&#39;</span><span class="p">],</span>
+                          <span class="n">cell</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;cell&#39;</span><span class="p">],</span>
+                          <span class="n">pbc</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;pbc&#39;</span><span class="p">])</span>
+            <span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>
+            <span class="n">calc</span> <span class="o">=</span> <span class="n">SinglePointCalculator</span><span class="p">(</span><span class="n">atoms</span><span class="p">,</span> 
+                                         <span class="n">energy</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">][</span><span class="s1">&#39;total_energy&#39;</span><span class="p">],</span>
+                                         <span class="n">forces</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">][</span><span class="s1">&#39;forces&#39;</span><span class="p">])</span>
+            <span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+            <span class="n">db</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3054/1448814737.py:12: FutureWarning: Please use atoms.calc = calc
+  atoms.set_calculator(calc)
+</pre></div>
+</div>
+</div>
+</div>
+<p>Let’s see what we made.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">!</span><span class="w"> </span>ase<span class="w"> </span>db<span class="w"> </span>oxides.db
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>id|age|user  |formula|calculator| energy|natoms| fmax|pbc| volume|charge|   mass
+ 1| 1s|runner|Sn2O4  |unknown   |-41.359|     6|0.045|TTT| 64.258| 0.000|301.416
+ 2| 1s|runner|Sn2O4  |unknown   |-41.853|     6|0.025|TTT| 66.526| 0.000|301.416
+ 3| 1s|runner|Sn2O4  |unknown   |-42.199|     6|0.010|TTT| 68.794| 0.000|301.416
+ 4| 1s|runner|Sn2O4  |unknown   |-42.419|     6|0.006|TTT| 71.062| 0.000|301.416
+ 5| 1s|runner|Sn2O4  |unknown   |-42.534|     6|0.011|TTT| 73.330| 0.000|301.416
+ 6| 1s|runner|Sn2O4  |unknown   |-42.562|     6|0.029|TTT| 75.598| 0.000|301.416
+ 7| 1s|runner|Sn2O4  |unknown   |-42.518|     6|0.033|TTT| 77.866| 0.000|301.416
+ 8| 1s|runner|Sn2O4  |unknown   |-42.415|     6|0.010|TTT| 80.134| 0.000|301.416
+ 9| 1s|runner|Sn2O4  |unknown   |-42.266|     6|0.006|TTT| 82.402| 0.000|301.416
+10| 1s|runner|Sn2O4  |unknown   |-42.083|     6|0.017|TTT| 84.670| 0.000|301.416
+11| 1s|runner|Sn4O8  |unknown   |-81.424|    12|0.012|TTT|117.473| 0.000|602.832
+12| 1s|runner|Sn4O8  |unknown   |-82.437|    12|0.005|TTT|121.620| 0.000|602.832
+13| 1s|runner|Sn4O8  |unknown   |-83.147|    12|0.015|TTT|125.766| 0.000|602.832
+14| 1s|runner|Sn4O8  |unknown   |-83.599|    12|0.047|TTT|129.912| 0.000|602.832
+15| 1s|runner|Sn4O8  |unknown   |-83.831|    12|0.081|TTT|134.058| 0.000|602.832
+16| 1s|runner|Sn4O8  |unknown   |-83.898|    12|0.001|TTT|138.204| 0.000|602.832
+17| 1s|runner|Sn4O8  |unknown   |-83.805|    12|0.001|TTT|142.350| 0.000|602.832
+18| 1s|runner|Sn4O8  |unknown   |-83.586|    12|0.002|TTT|146.496| 0.000|602.832
+19| 1s|runner|Sn4O8  |unknown   |-83.262|    12|0.002|TTT|150.642| 0.000|602.832
+20| 1s|runner|Sn4O8  |unknown   |-82.851|    12|0.013|TTT|154.788| 0.000|602.832
+Rows: 295 (showing first 20)
+</pre></div>
+</div>
+</div>
+</div>
+<section id="make-the-train-test-val-splits">
+<h2>Make the train, test, val splits<a class="headerlink" href="#make-the-train-test-val-splits" title="Link to this heading">#</a></h2>
+<p>We need to split the ase-db into three separate databases, one for training (80%), one for testing (10%) and one for validation. We generate a list of ids and then shuffle them. Then we write the first 80% into <code class="docutils literal notranslate"><span class="pre">train.db</span></code>, the next 10% into <code class="docutils literal notranslate"><span class="pre">test.db</span></code>, and the remaining into <code class="docutils literal notranslate"><span class="pre">val.db</span></code>.</p>
+<p>The train set is used for training. The test and val sets are used to check for overfitting.</p>
+<p>You choose the splits you want, 80:10:10 is common. We take a simple approach to split the database here. We make an array of integers that correspond to the ids, randomly shuffle them, and then get each row in the randomized order and write them to a new db.</p>
+<p>We provide some helper functions in <code class="docutils literal notranslate"><span class="pre">fairchem.core.common.tutorial_utils</span></code> to streamline this process.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.tutorial_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">train_test_val_split</span>
+<span class="o">!</span><span class="w"> </span>rm<span class="w"> </span>-fr<span class="w"> </span>train.db<span class="w"> </span>test.db<span class="w"> </span>val.db
+
+<span class="n">train</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">val</span> <span class="o">=</span> <span class="n">train_test_val_split</span><span class="p">(</span><span class="s1">&#39;oxides.db&#39;</span><span class="p">)</span>
+<span class="n">train</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">val</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(PosixPath(&#39;/home/runner/work/fairchem/fairchem/docs/core/fine-tuning/train.db&#39;),
+ PosixPath(&#39;/home/runner/work/fairchem/fairchem/docs/core/fine-tuning/test.db&#39;),
+ PosixPath(&#39;/home/runner/work/fairchem/fairchem/docs/core/fine-tuning/val.db&#39;))
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="setting-up-the-configuration-yaml-file">
+<h2>Setting up the configuration yaml file<a class="headerlink" href="#setting-up-the-configuration-yaml-file" title="Link to this heading">#</a></h2>
+<p>We have to create a yaml configuration file for the model we are using. The pre-trained checkpoints contain their config data, so we use this to get the base configuration, and then remove pieces we don’t need, and update pieces we do need.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.tutorial_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">generate_yml_config</span> 
+
+<span class="n">yml</span> <span class="o">=</span> <span class="n">generate_yml_config</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="s1">&#39;config.yml&#39;</span><span class="p">,</span>
+                   <span class="n">delete</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;slurm&#39;</span><span class="p">,</span> <span class="s1">&#39;cmd&#39;</span><span class="p">,</span> <span class="s1">&#39;logger&#39;</span><span class="p">,</span> <span class="s1">&#39;task&#39;</span><span class="p">,</span> <span class="s1">&#39;model_attributes&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.loss_force&#39;</span><span class="p">,</span> <span class="c1"># the checkpoint setting causes an error</span>
+			   <span class="s1">&#39;optim.load_balancing&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset&#39;</span><span class="p">,</span> <span class="s1">&#39;test_dataset&#39;</span><span class="p">,</span> <span class="s1">&#39;val_dataset&#39;</span><span class="p">],</span>
+                   <span class="n">update</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;gpus&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.eval_every&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.max_epochs&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.batch_size&#39;</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span>
+                            <span class="s1">&#39;logger&#39;</span><span class="p">:</span><span class="s1">&#39;tensorboard&#39;</span><span class="p">,</span> <span class="c1"># don&#39;t use wandb!</span>
+                           <span class="c1"># Train data</span>
+                           <span class="s1">&#39;dataset.train.src&#39;</span><span class="p">:</span> <span class="s1">&#39;train.db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.train.format&#39;</span><span class="p">:</span> <span class="s1">&#39;ase_db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.train.a2g_args.r_energy&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.train.a2g_args.r_forces&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+                            <span class="c1"># Test data - prediction only so no regression</span>
+                           <span class="s1">&#39;dataset.test.src&#39;</span><span class="p">:</span> <span class="s1">&#39;test.db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.format&#39;</span><span class="p">:</span> <span class="s1">&#39;ase_db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.a2g_args.r_energy&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.a2g_args.r_forces&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                           <span class="c1"># val data</span>
+                           <span class="s1">&#39;dataset.val.src&#39;</span><span class="p">:</span> <span class="s1">&#39;val.db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.val.format&#39;</span><span class="p">:</span> <span class="s1">&#39;ase_db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.val.a2g_args.r_energy&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.val.a2g_args.r_forces&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+                          <span class="p">})</span>
+
+<span class="n">yml</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/fine-tuning/checkpoints/2025-01-21-19-31-12
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/fine-tuning/logs/wandb/2025-01-21-19-31-12
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/fine-tuning/results/2025-01-21-19-31-12
+  seed: null
+  timestamp_id: 2025-01-21-19-31-12
+  version: 0.1.dev1+gc162617
+dataset:
+  format: oc22_lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  oc20_ref: /checkpoint/janlan/ocp/other_data/final_ref_energies_02_07_2021.pkl
+  raw_energy_target: true
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  factor: 0.8
+  force_coefficient: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_initial: 0.0005
+  max_epochs: 80
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/57632342
+  gpus_per_node: 8
+  job_id: &#39;57632342&#39;
+  job_name: gnoc_oc22_oc20_all_s2ef
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: ocp,learnaccel
+  time: 4320
+task:
+  dataset: oc22_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetOC with 38864438 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>PosixPath(&#39;/home/runner/work/fairchem/fairchem/docs/core/fine-tuning/config.yml&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">!</span><span class="w"> </span>cat<span class="w"> </span>config.yml
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>amp: true
+checkpoint: /tmp/fairchem_checkpoints/gnoc_oc22_oc20_all_s2ef.pt
+dataset:
+  test:
+    a2g_args:
+      r_energy: false
+      r_forces: false
+    format: ase_db
+    src: test.db
+  train:
+    a2g_args:
+      r_energy: true
+      r_forces: true
+    format: ase_db
+    src: train.db
+  val:
+    a2g_args:
+      r_energy: true
+      r_forces: true
+    format: ase_db
+    src: val.db
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gpus: 1
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+noddp: false
+optim:
+  batch_size: 4
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 10
+  factor: 0.8
+  force_coefficient: 1
+  loss_energy: mae
+  lr_initial: 0.0005
+  max_epochs: 1
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+trainer: ocp
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="running-the-training-job">
+<h2>Running the training job<a class="headerlink" href="#running-the-training-job" title="Link to this heading">#</a></h2>
+<p><code class="docutils literal notranslate"><span class="pre">fairchem</span></code> provides a <code class="docutils literal notranslate"><span class="pre">main.py</span></code> file that is used for training. Here we construct the Python command you need to run, and run it. <code class="docutils literal notranslate"><span class="pre">main.py</span></code> is not executable, so we have to run it with python, and you need the absolute path to it, which we get from the <code class="docutils literal notranslate"><span class="pre">fairchem_main()</span></code> that is defined in the fairchem.core.common.tutorial_utils.</p>
+<p>you must set a <code class="docutils literal notranslate"><span class="pre">mode</span></code> and provide a <code class="docutils literal notranslate"><span class="pre">config-yml</span></code>. We provide a checkpoint for a starting point, if you don’t do this, it will start from scratch.</p>
+<p>By default the files that are created go in a directories called <code class="docutils literal notranslate"><span class="pre">checkpoints</span></code>, <code class="docutils literal notranslate"><span class="pre">logs</span></code> and <code class="docutils literal notranslate"><span class="pre">results</span></code>. You can change that with a <code class="docutils literal notranslate"><span class="pre">--run-dir</span> <span class="pre">preferred-place</span></code> option.</p>
+<p>You can also add an identifier tag to the end of the timestamps with <code class="docutils literal notranslate"><span class="pre">--identifier</span> <span class="pre">tag</span></code>. This can make it easier to find them later.</p>
+<p>The cell below uses some IPython magic to put Python variables in the shell command.</p>
+<p>This command takes some time to run even on a GPU, e.g. about 30 minutes.</p>
+<p>It is advisable to redirect the outputs to files. The reason is that if the outputs are very large, the notebook may not be able to be saved. This also makes your notebooks more reproducible. The checkpoints are stored in time-stamped directories that change everytime you run them. Below we show how to reproducibly retrieve this directory name in a way that allows you to run the notebook again later, while automatically updating the directory name.</p>
+<p>You can follow how the training is going by opening a terminal and running</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>tail -f train.txt
+</pre></div>
+</div>
+<p>You can also visit it in a browser at <a class="reference download internal" download="" href="../../_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt"><span class="xref download myst">train.txt</span></a>. You have to periodically refresh the view to see updates though.</p>
+<p>This can take up to 30 minutes for 80 epochs, so we only do a few here to see what happens. If you have a gpu or multiple gpus, you should use the flag –num-gpus=<number of gpus> and remove the –cpu flag.</p>
+<div class="cell tag_hide-output docutils container">
+<div class="cell_input above-output-prompt docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.tutorial_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">fairchem_main</span>
+
+<span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+<span class="o">!</span><span class="w"> </span>python<span class="w"> </span><span class="o">{</span>fairchem_main<span class="o">()}</span><span class="w"> </span>--mode<span class="w"> </span>train<span class="w"> </span>--config-yml<span class="w"> </span><span class="o">{</span>yml<span class="o">}</span><span class="w"> </span>--checkpoint<span class="w"> </span><span class="o">{</span>checkpoint_path<span class="o">}</span><span class="w"> </span>--run-dir<span class="w"> </span>fine-tuning<span class="w"> </span>--identifier<span class="w"> </span>ft-oxides<span class="w"> </span>--cpu<span class="w"> </span>&gt;<span class="w"> </span>train.txt<span class="w"> </span><span class="m">2</span>&gt;<span class="p">&amp;</span><span class="m">1</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Elapsed time = </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<details class="hide below-input">
+<summary aria-label="Toggle hidden content">
+<span class="collapsed">Show code cell output</span>
+<span class="expanded">Hide code cell output</span>
+</summary>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time = 212.1 seconds
+</pre></div>
+</div>
+</div>
+</details>
+</div>
+<p>Now since we have a file, we can find the training results in it. See <a class="reference download internal" download="" href="../../_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt"><span class="xref download myst">train.txt</span></a>. At the top, the config is printed, so we can get the checkpoint directory. I use shell commands and Python to get the line, split and strip it here.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cpline</span> <span class="o">=</span> <span class="o">!</span>grep<span class="w"> </span><span class="s2">&quot;checkpoint_dir:&quot;</span><span class="w"> </span>train.txt
+<span class="n">cpdir</span> <span class="o">=</span> <span class="n">cpline</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;:&#39;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+<span class="n">cpdir</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;fine-tuning/checkpoints/2025-01-21-19-31-12-ft-oxides&#39;
+</pre></div>
+</div>
+</div>
+</div>
+<p>There will be two files in there: <code class="docutils literal notranslate"><span class="pre">checkpoint.pt</span></code> and <code class="docutils literal notranslate"><span class="pre">best_checkpoint.pt</span></code>.</p>
+<p>The <code class="docutils literal notranslate"><span class="pre">best_checkpoint.pt</span></code> is the one that performs best on the validation dataset. The <code class="docutils literal notranslate"><span class="pre">checkpoint.pt</span></code> is the most recently saved one. Probably it has the lowest loss in training, but this could be an indication of overfitting. You have to use some judgement in determining which one to use, and if it is sufficiently accurate for your needs. It may need additional training to further improve it.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">newckpt</span> <span class="o">=</span> <span class="n">cpdir</span> <span class="o">+</span> <span class="s1">&#39;/checkpoint.pt&#39;</span>
+<span class="n">newcalc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">newckpt</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: false
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/fine-tuning/checkpoints/2025-01-21-19-35-28
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/fine-tuning/logs/wandb/2025-01-21-19-35-28
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/fine-tuning/results/2025-01-21-19-35-28
+  seed: null
+  timestamp_id: 2025-01-21-19-35-28
+  version: 0.1.dev1+gc162617
+dataset:
+  a2g_args:
+    r_energy: true
+    r_forces: true
+  format: ase_db
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 4
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 10
+  factor: 0.8
+  force_coefficient: 1
+  loss_energy: mae
+  lr_initial: 0.0005
+  max_epochs: 1
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm: {}
+task: {}
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetOC with 38864438 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">eos_data</span> <span class="o">=</span> <span class="p">{}</span>
+<span class="k">for</span> <span class="n">oxide</span> <span class="ow">in</span> <span class="n">oxides</span><span class="p">:</span>
+    <span class="n">eos_data</span><span class="p">[</span><span class="n">oxide</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="k">for</span> <span class="n">polymorph</span> <span class="ow">in</span> <span class="n">polymorphs</span><span class="p">:</span>
+        <span class="n">dft</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">ocp</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">vols</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">calculations</span> <span class="o">=</span> <span class="n">d</span><span class="p">[</span><span class="n">oxide</span><span class="p">][</span><span class="n">polymorph</span><span class="p">][</span><span class="s1">&#39;PBE&#39;</span><span class="p">][</span><span class="s1">&#39;EOS&#39;</span><span class="p">][</span><span class="s1">&#39;calculations&#39;</span><span class="p">]</span>
+        <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">calculations</span><span class="p">:</span>
+                        
+            <span class="n">atoms</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">(</span><span class="n">symbols</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;symbols&#39;</span><span class="p">],</span>
+                          <span class="n">positions</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;positions&#39;</span><span class="p">],</span>
+                          <span class="n">cell</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;cell&#39;</span><span class="p">],</span>
+                          <span class="n">pbc</span><span class="o">=</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;atoms&#39;</span><span class="p">][</span><span class="s1">&#39;pbc&#39;</span><span class="p">])</span>
+            <span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>
+            
+            <span class="n">atoms</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">newcalc</span>
+            <span class="n">ocp</span> <span class="o">+=</span> <span class="p">[</span><span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)]</span>
+            <span class="n">dft</span> <span class="o">+=</span> <span class="p">[</span><span class="n">c</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">][</span><span class="s1">&#39;total_energy&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)]</span>
+            <span class="n">vols</span> <span class="o">+=</span> <span class="p">[</span><span class="n">atoms</span><span class="o">.</span><span class="n">get_volume</span><span class="p">()]</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">dft</span><span class="p">,</span> <span class="n">ocp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;s&#39;</span> <span class="k">if</span> <span class="n">oxide</span> <span class="o">==</span> <span class="s1">&#39;VO2&#39;</span> <span class="k">else</span> <span class="s1">&#39;.&#39;</span><span class="p">,</span>
+                 <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">oxide</span><span class="si">}</span><span class="s1">-</span><span class="si">{</span><span class="n">polymorph</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="n">eos_data</span><span class="p">[</span><span class="n">oxide</span><span class="p">][</span><span class="n">polymorph</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">vols</span><span class="p">,</span> <span class="n">dft</span><span class="p">,</span> <span class="n">ocp</span><span class="p">)</span>
+        
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;DFT (eV/atom)&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;OCP (eV/atom)&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s1">&#39;center left&#39;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">),</span> <span class="n">ncol</span><span class="o">=</span><span class="mi">3</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../../_images/e791f5445f408f8c99217d306489954f76ad2540473ab0aeb388d10efcfb7be5.png" src="../../_images/e791f5445f408f8c99217d306489954f76ad2540473ab0aeb388d10efcfb7be5.png" />
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">mae</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">dft</span><span class="p">)</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">ocp</span><span class="p">)))</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;New MAE = </span><span class="si">{</span><span class="n">mae</span><span class="si">:</span><span class="s1">1.3f</span><span class="si">}</span><span class="s1"> eV/atom&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>New MAE = 0.258 eV/atom
+</pre></div>
+</div>
+</div>
+</div>
+<p>This is a substantial improvement! We can see what it means in terms of the Equations of State. There is still not perfect agreement, but the curves are closer together. Additional fine tuning, or a better model could probably still improve this.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">oxide</span><span class="p">,</span> <span class="n">polymorph</span> <span class="o">=</span> <span class="s1">&#39;VO2&#39;</span><span class="p">,</span> <span class="s1">&#39;fluorite&#39;</span>
+<span class="n">V</span><span class="p">,</span> <span class="n">D</span><span class="p">,</span> <span class="n">O</span> <span class="o">=</span> <span class="n">eos_data</span><span class="p">[</span><span class="n">oxide</span><span class="p">][</span><span class="n">polymorph</span><span class="p">]</span>
+        
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">V</span><span class="p">,</span> <span class="n">D</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;dft&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">V</span><span class="p">,</span> <span class="n">O</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;ocp&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;fine-tuned </span><span class="si">{</span><span class="n">oxide</span><span class="si">}</span><span class="s1"> - </span><span class="si">{</span><span class="n">polymorph</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../../_images/0e18b555ac8631abe3b3275c8ec1d8c74a6c9ccd73c3eaf5cb9475a16788d110.png" src="../../_images/0e18b555ac8631abe3b3275c8ec1d8c74a6c9ccd73c3eaf5cb9475a16788d110.png" />
+</div>
+</div>
+<p>It is possible to continue refining the fit. The simple things to do are to use more epochs of training. Eventually the MAE will stabilize, and then it may be necessary to adjust other optimization parameters like the learning rate (usually you decrease it).</p>
+<p>Depending on what is important to you, you may consider changing the relative importances of energy and forces; you can often trade off accuracy of one for the other. It may be necessary to add additional data to cover the composition and configuration space more thoroughly.</p>
+<p>There are also other models you could consider. Newer models tend to be more accurate, but they may also be more expensive to run. These are all compromises you can consider.</p>
+</section>
+</section>
+
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+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Fine tuning a model</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#setting-up-the-configuration-yaml-file">Setting up the configuration yaml file</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#running-the-training-job">Running the training job</a></li>
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+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/ocpapi/client/index.html">ocpapi.client</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/client/ui/index.html">ocpapi.client.ui</a></li>
+</ul>
+</details></li>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/retry/index.html">ocpapi.workflows.retry</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../autoapi/cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../autoapi/cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../execution_time.html">Notebook execution times</a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Common gotchas with fairchem</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Common gotchas with fairchem</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#outofmemoryerror">OutOfMemoryError</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#i-want-the-energy-of-a-gas-phase-atom">I want the energy of a gas phase atom</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#i-get-wildly-different-energies-from-the-different-models">I get wildly different energies from the different models</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#miscellaneous-warnings">Miscellaneous warnings</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#unrecognized-arguments">Unrecognized arguments</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#unable-to-identify-ocp-trainer">Unable to identify ocp trainer</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#request-entity-too-large-can-t-save-your-notebook">Request entity too large - can’t save your Notebook</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#you-need-at-least-four-atoms-for-molecules-with-some-models">You need at least four atoms for molecules with some models</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#to-tag-or-not">To tag or not?</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#stochastic-simulation-results">Stochastic simulation results</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#the-forces-don-t-sum-to-zero">The forces don’t sum to zero</a></li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="common-gotchas-with-fairchem">
+<h1>Common gotchas with fairchem<a class="headerlink" href="#common-gotchas-with-fairchem" title="Link to this heading">#</a></h1>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="outofmemoryerror">
+<h1>OutOfMemoryError<a class="headerlink" href="#outofmemoryerror" title="Link to this heading">#</a></h1>
+<p>If you see errors like:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">OutOfMemoryError</span><span class="p">:</span> <span class="n">CUDA</span> <span class="n">out</span> <span class="n">of</span> <span class="n">memory</span><span class="o">.</span> <span class="n">Tried</span> <span class="n">to</span> <span class="n">allocate</span> <span class="mf">390.00</span> <span class="n">MiB</span> <span class="p">(</span><span class="n">GPU</span> <span class="mi">0</span><span class="p">;</span> <span class="mf">10.76</span> <span class="n">GiB</span> <span class="n">total</span> <span class="n">capacity</span><span class="p">;</span> <span class="mf">9.59</span> <span class="n">GiB</span> <span class="n">already</span> <span class="n">allocated</span><span class="p">;</span> <span class="mf">170.06</span> <span class="n">MiB</span> <span class="n">free</span><span class="p">;</span> <span class="mf">9.81</span> <span class="n">GiB</span> <span class="n">reserved</span> <span class="ow">in</span> <span class="n">total</span> <span class="n">by</span> <span class="n">PyTorch</span><span class="p">)</span> <span class="n">If</span> <span class="n">reserved</span> <span class="n">memory</span> <span class="ow">is</span> <span class="o">&gt;&gt;</span> <span class="n">allocated</span> <span class="n">memory</span> <span class="k">try</span> <span class="n">setting</span> <span class="n">max_split_size_mb</span> <span class="n">to</span> <span class="n">avoid</span> <span class="n">fragmentation</span><span class="o">.</span>  <span class="n">See</span> <span class="n">documentation</span> <span class="k">for</span> <span class="n">Memory</span> <span class="n">Management</span> <span class="ow">and</span> <span class="n">PYTORCH_CUDA_ALLOC_CONF</span>
+</pre></div>
+</div>
+<p>It means your GPU is out of memory. Some reasons could be that you have multiple notebooks open that are using the GPU, e.g. they have loaded a calculator or something. Try closing all the other notebooks.</p>
+<p>It could also mean the batch size is too large to fit in memory. You can try making it smaller in the yml config file (optim.batch_size).</p>
+<p>It is recommended you use automatic mixed precision, –amp, in the options to main.py, or in the config.yml.</p>
+<p>If it is an option, you can try a GPU with more memory, or you may be able to split the job over multiple GPUs.</p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="i-want-the-energy-of-a-gas-phase-atom">
+<h1>I want the energy of a gas phase atom<a class="headerlink" href="#i-want-the-energy-of-a-gas-phase-atom" title="Link to this heading">#</a></h1>
+<p>But I get an error like</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="ne">RuntimeError</span><span class="p">:</span> <span class="n">cannot</span> <span class="n">reshape</span> <span class="n">tensor</span> <span class="n">of</span> <span class="mi">0</span> <span class="n">elements</span> <span class="n">into</span> <span class="n">shape</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="n">because</span> <span class="n">the</span> <span class="n">unspecified</span> <span class="n">dimension</span> <span class="n">size</span> <span class="o">-</span><span class="mi">1</span> <span class="n">can</span> <span class="n">be</span> <span class="nb">any</span> <span class="n">value</span> <span class="ow">and</span> <span class="ow">is</span> <span class="n">ambiguous</span>
+</pre></div>
+</div>
+<p>The problem here is that no neighbors are found for the single atom which causes an error. This may be model dependent. There is currently no way to get atomic energies for some models.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EFS-OC20+OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: oc22_lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  oc20_ref: /checkpoint/janlan/ocp/other_data/final_ref_energies_02_07_2021.pkl
+  raw_energy_target: true
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  factor: 0.8
+  force_coefficient: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_initial: 0.0005
+  max_epochs: 80
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/57632342
+  gpus_per_node: 8
+  job_id: &#39;57632342&#39;
+  job_name: gnoc_oc22_oc20_all_s2ef
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: ocp,learnaccel
+  time: 4320
+task:
+  dataset: oc22_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetOC with 38864438 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%capture</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">bulk</span>
+<span class="n">atoms</span> <span class="o">=</span> <span class="n">bulk</span><span class="p">(</span><span class="s1">&#39;Cu&#39;</span><span class="p">,</span> <span class="n">a</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
+<span class="ne">RuntimeError</span><span class="g g-Whitespace">                              </span>Traceback (most recent call last)
+<span class="n">Cell</span> <span class="n">In</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">line</span> <span class="mi">4</span>
+<span class="g g-Whitespace">      </span><span class="mi">2</span> <span class="n">atoms</span> <span class="o">=</span> <span class="n">bulk</span><span class="p">(</span><span class="s1">&#39;Cu&#39;</span><span class="p">,</span> <span class="n">a</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+<span class="g g-Whitespace">      </span><span class="mi">3</span> <span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="ne">----&gt; </span><span class="mi">4</span> <span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/atoms.py:770,</span> in <span class="ni">Atoms.get_potential_energy</span><span class="nt">(self, force_consistent, apply_constraint)</span>
+<span class="g g-Whitespace">    </span><span class="mi">767</span>     <span class="n">energy</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_calc</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">768</span>         <span class="bp">self</span><span class="p">,</span> <span class="n">force_consistent</span><span class="o">=</span><span class="n">force_consistent</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">769</span> <span class="k">else</span><span class="p">:</span>
+<span class="ne">--&gt; </span><span class="mi">770</span>     <span class="n">energy</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_calc</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">771</span> <span class="k">if</span> <span class="n">apply_constraint</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">772</span>     <span class="k">for</span> <span class="n">constraint</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">constraints</span><span class="p">:</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/calculators/abc.py:24,</span> in <span class="ni">GetPropertiesMixin.get_potential_energy</span><span class="nt">(self, atoms, force_consistent)</span>
+<span class="g g-Whitespace">     </span><span class="mi">22</span> <span class="k">else</span><span class="p">:</span>
+<span class="g g-Whitespace">     </span><span class="mi">23</span>     <span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;energy&#39;</span>
+<span class="ne">---&gt; </span><span class="mi">24</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_property</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">atoms</span><span class="p">)</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/calculators/calculator.py:538,</span> in <span class="ni">BaseCalculator.get_property</span><span class="nt">(self, name, atoms, allow_calculation)</span>
+<span class="g g-Whitespace">    </span><span class="mi">535</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_cache</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">536</span>         <span class="bp">self</span><span class="o">.</span><span class="n">atoms</span> <span class="o">=</span> <span class="n">atoms</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+<span class="ne">--&gt; </span><span class="mi">538</span>     <span class="bp">self</span><span class="o">.</span><span class="n">calculate</span><span class="p">(</span><span class="n">atoms</span><span class="p">,</span> <span class="p">[</span><span class="n">name</span><span class="p">],</span> <span class="n">system_changes</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">540</span> <span class="k">if</span> <span class="n">name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">results</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">541</span>     <span class="c1"># For some reason the calculator was not able to do what we want,</span>
+<span class="g g-Whitespace">    </span><span class="mi">542</span>     <span class="c1"># and that is OK.</span>
+<span class="g g-Whitespace">    </span><span class="mi">543</span>     <span class="k">raise</span> <span class="n">PropertyNotImplementedError</span><span class="p">(</span>
+<span class="nn">    544         &#39;{} not present</span> in <span class="ni">this &#39; &#39;calculation&#39;.format</span><span class="nt">(name)</span>
+<span class="g g-Whitespace">    </span><span class="mi">545</span>     <span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:292,</span> in <span class="ni">OCPCalculator.calculate</span><span class="nt">(self, atoms, properties, system_changes)</span>
+<span class="g g-Whitespace">    </span><span class="mi">289</span> <span class="k">else</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">290</span>     <span class="n">batch</span> <span class="o">=</span> <span class="n">atoms</span>
+<span class="ne">--&gt; </span><span class="mi">292</span> <span class="n">predictions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">per_image</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">294</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">295</span>     <span class="n">_pred</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/utils/_contextlib.py:116,</span> in <span class="ni">context_decorator.&lt;locals&gt;.decorate_context</span><span class="nt">(*args, **kwargs)</span>
+<span class="g g-Whitespace">    </span><span class="mi">113</span> <span class="nd">@functools</span><span class="o">.</span><span class="n">wraps</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">114</span> <span class="k">def</span><span class="w"> </span><span class="nf">decorate_context</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">115</span>     <span class="k">with</span> <span class="n">ctx_factory</span><span class="p">():</span>
+<span class="ne">--&gt; </span><span class="mi">116</span>         <span class="k">return</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:473,</span> in <span class="ni">OCPTrainer.predict</span><span class="nt">(self, data_loader, per_image, results_file, disable_tqdm)</span>
+<span class="g g-Whitespace">    </span><span class="mi">465</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">batch</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">466</span>     <span class="nb">enumerate</span><span class="p">(</span><span class="n">data_loader</span><span class="p">),</span>
+<span class="g g-Whitespace">    </span><span class="mi">467</span>     <span class="n">total</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">data_loader</span><span class="p">),</span>
+   <span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">470</span>     <span class="n">disable</span><span class="o">=</span><span class="n">disable_tqdm</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">471</span> <span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">472</span>     <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">autocast</span><span class="p">(</span><span class="s2">&quot;cuda&quot;</span><span class="p">,</span> <span class="n">enabled</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">scaler</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">):</span>
+<span class="ne">--&gt; </span><span class="mi">473</span>         <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward</span><span class="p">(</span><span class="n">batch</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">475</span>     <span class="k">for</span> <span class="n">target_key</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;outputs&quot;</span><span class="p">]:</span>
+<span class="g g-Whitespace">    </span><span class="mi">476</span>         <span class="n">pred</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_denorm_preds</span><span class="p">(</span><span class="n">target_key</span><span class="p">,</span> <span class="n">out</span><span class="p">[</span><span class="n">target_key</span><span class="p">],</span> <span class="n">batch</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:254,</span> in <span class="ni">OCPTrainer._forward</span><span class="nt">(self, batch)</span>
+<span class="g g-Whitespace">    </span><span class="mi">253</span> <span class="k">def</span><span class="w"> </span><span class="nf">_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">):</span>
+<span class="ne">--&gt; </span><span class="mi">254</span>     <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">batch</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">))</span>
+<span class="g g-Whitespace">    </span><span class="mi">256</span>     <span class="n">outputs</span> <span class="o">=</span> <span class="p">{}</span>
+<span class="g g-Whitespace">    </span><span class="mi">257</span>     <span class="n">batch_size</span> <span class="o">=</span> <span class="n">batch</span><span class="o">.</span><span class="n">natoms</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1553,</span> in <span class="ni">Module._wrapped_call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1551</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_compiled_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>  <span class="c1"># type: ignore[misc]</span>
+<span class="g g-Whitespace">   </span><span class="mi">1552</span> <span class="k">else</span><span class="p">:</span>
+<span class="ne">-&gt; </span><span class="mi">1553</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1562,</span> in <span class="ni">Module._call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1557</span> <span class="c1"># If we don&#39;t have any hooks, we want to skip the rest of the logic in</span>
+<span class="g g-Whitespace">   </span><span class="mi">1558</span> <span class="c1"># this function, and just call forward.</span>
+<span class="g g-Whitespace">   </span><span class="mi">1559</span> <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_backward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_pre_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_pre_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1560</span>         <span class="ow">or</span> <span class="n">_global_backward_pre_hooks</span> <span class="ow">or</span> <span class="n">_global_backward_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1561</span>         <span class="ow">or</span> <span class="n">_global_forward_hooks</span> <span class="ow">or</span> <span class="n">_global_forward_pre_hooks</span><span class="p">):</span>
+<span class="ne">-&gt; </span><span class="mi">1562</span>     <span class="k">return</span> <span class="n">forward_call</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1564</span> <span class="k">try</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">1565</span>     <span class="n">result</span> <span class="o">=</span> <span class="kc">None</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/common/utils.py:176,</span> in <span class="ni">conditional_grad.&lt;locals&gt;.decorator.&lt;locals&gt;.cls_method</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">    </span><span class="mi">174</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">regress_forces</span> <span class="ow">and</span> <span class="ow">not</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s2">&quot;direct_forces&quot;</span><span class="p">,</span> <span class="mi">0</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">175</span>     <span class="n">f</span> <span class="o">=</span> <span class="n">dec</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">176</span> <span class="k">return</span> <span class="n">f</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/gemnet_oc.py:1218,</span> in <span class="ni">GemNetOC.forward</span><span class="nt">(self, data)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1196</span> <span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1197</span>     <span class="n">main_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1198</span>     <span class="n">a2a_graph</span><span class="p">,</span>
+   <span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1205</span>     <span class="n">quad_idx</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1206</span> <span class="p">)</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_graphs_and_indices</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1207</span> <span class="n">_</span><span class="p">,</span> <span class="n">idx_t</span> <span class="o">=</span> <span class="n">main_graph</span><span class="p">[</span><span class="s2">&quot;edge_index&quot;</span><span class="p">]</span>
+<span class="g g-Whitespace">   </span><span class="mi">1209</span> <span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1210</span>     <span class="n">basis_rad_raw</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1211</span>     <span class="n">basis_atom_update</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1212</span>     <span class="n">basis_output</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1213</span>     <span class="n">bases_qint</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1214</span>     <span class="n">bases_e2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1215</span>     <span class="n">bases_a2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1216</span>     <span class="n">bases_e2a</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1217</span>     <span class="n">basis_a2a_rad</span><span class="p">,</span>
+<span class="ne">-&gt; </span><span class="mi">1218</span> <span class="p">)</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bases</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1219</span>     <span class="n">main_graph</span><span class="o">=</span><span class="n">main_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1220</span>     <span class="n">a2a_graph</span><span class="o">=</span><span class="n">a2a_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1221</span>     <span class="n">a2ee2a_graph</span><span class="o">=</span><span class="n">a2ee2a_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1222</span>     <span class="n">qint_graph</span><span class="o">=</span><span class="n">qint_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1223</span>     <span class="n">trip_idx_e2e</span><span class="o">=</span><span class="n">trip_idx_e2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1224</span>     <span class="n">trip_idx_a2e</span><span class="o">=</span><span class="n">trip_idx_a2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1225</span>     <span class="n">trip_idx_e2a</span><span class="o">=</span><span class="n">trip_idx_e2a</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1226</span>     <span class="n">quad_idx</span><span class="o">=</span><span class="n">quad_idx</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1227</span>     <span class="n">num_atoms</span><span class="o">=</span><span class="n">num_atoms</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1228</span> <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1230</span> <span class="c1"># Embedding block</span>
+<span class="g g-Whitespace">   </span><span class="mi">1231</span> <span class="n">h</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">atom_emb</span><span class="p">(</span><span class="n">atomic_numbers</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/gemnet_oc.py:1091,</span> in <span class="ni">GemNetOC.get_bases</span><span class="nt">(self, main_graph, a2a_graph, a2ee2a_graph, qint_graph, trip_idx_e2e, trip_idx_a2e, trip_idx_e2a, quad_idx, num_atoms)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1082</span>     <span class="n">cosφ_cab_q</span><span class="p">,</span> <span class="n">cosφ_abd</span><span class="p">,</span> <span class="n">angle_cabd</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calculate_quad_angles</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1083</span>         <span class="n">main_graph</span><span class="p">[</span><span class="s2">&quot;vector&quot;</span><span class="p">],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1084</span>         <span class="n">qint_graph</span><span class="p">[</span><span class="s2">&quot;vector&quot;</span><span class="p">],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1085</span>         <span class="n">quad_idx</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1086</span>     <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1088</span>     <span class="n">basis_rad_cir_qint_raw</span><span class="p">,</span> <span class="n">basis_cir_qint_raw</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cbf_basis_qint</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1089</span>         <span class="n">qint_graph</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">],</span> <span class="n">cosφ_abd</span>
+<span class="g g-Whitespace">   </span><span class="mi">1090</span>     <span class="p">)</span>
+<span class="ne">-&gt; </span><span class="mi">1091</span>     <span class="n">basis_rad_sph_qint_raw</span><span class="p">,</span> <span class="n">basis_sph_qint_raw</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sbf_basis_qint</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1092</span>         <span class="n">main_graph</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1093</span>         <span class="n">cosφ_cab_q</span><span class="p">[</span><span class="n">quad_idx</span><span class="p">[</span><span class="s2">&quot;trip_out_to_quad&quot;</span><span class="p">]],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1094</span>         <span class="n">angle_cabd</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1095</span>     <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1096</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">atom_edge_interaction</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">1097</span>     <span class="n">basis_rad_a2ee2a_raw</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">radial_basis_aeaint</span><span class="p">(</span><span class="n">a2ee2a_graph</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">])</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1553,</span> in <span class="ni">Module._wrapped_call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1551</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_compiled_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>  <span class="c1"># type: ignore[misc]</span>
+<span class="g g-Whitespace">   </span><span class="mi">1552</span> <span class="k">else</span><span class="p">:</span>
+<span class="ne">-&gt; </span><span class="mi">1553</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1562,</span> in <span class="ni">Module._call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1557</span> <span class="c1"># If we don&#39;t have any hooks, we want to skip the rest of the logic in</span>
+<span class="g g-Whitespace">   </span><span class="mi">1558</span> <span class="c1"># this function, and just call forward.</span>
+<span class="g g-Whitespace">   </span><span class="mi">1559</span> <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_backward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_pre_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_pre_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1560</span>         <span class="ow">or</span> <span class="n">_global_backward_pre_hooks</span> <span class="ow">or</span> <span class="n">_global_backward_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1561</span>         <span class="ow">or</span> <span class="n">_global_forward_hooks</span> <span class="ow">or</span> <span class="n">_global_forward_pre_hooks</span><span class="p">):</span>
+<span class="ne">-&gt; </span><span class="mi">1562</span>     <span class="k">return</span> <span class="n">forward_call</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1564</span> <span class="k">try</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">1565</span>     <span class="n">result</span> <span class="o">=</span> <span class="kc">None</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/layers/spherical_basis.py:132,</span> in <span class="ni">SphericalBasisLayer.forward</span><span class="nt">(self, D_ca, cosφ_cab, θ_cabd)</span>
+<span class="g g-Whitespace">    </span><span class="mi">130</span> <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">D_ca</span><span class="p">,</span> <span class="n">cosφ_cab</span><span class="p">,</span> <span class="n">θ_cabd</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">131</span>     <span class="n">rad_basis</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">radial_basis</span><span class="p">(</span><span class="n">D_ca</span><span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">132</span>     <span class="n">sph_basis</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">spherical_basis</span><span class="p">(</span><span class="n">cosφ_cab</span><span class="p">,</span> <span class="n">θ_cabd</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">133</span>     <span class="c1"># (num_quadruplets, num_spherical**2)</span>
+<span class="g g-Whitespace">    </span><span class="mi">135</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">scale_basis</span><span class="p">:</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/layers/spherical_basis.py:116,</span> in <span class="ni">SphericalBasisLayer.__init__.&lt;locals&gt;.&lt;lambda&gt;</span><span class="nt">(cosφ, θ)</span>
+<span class="g g-Whitespace">    </span><span class="mi">111</span> <span class="k">elif</span> <span class="n">sbf_name</span> <span class="o">==</span> <span class="s2">&quot;legendre_outer&quot;</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">112</span>     <span class="n">circular_basis</span> <span class="o">=</span> <span class="n">get_sph_harm_basis</span><span class="p">(</span><span class="n">num_spherical</span><span class="p">,</span> <span class="n">zero_m_only</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">113</span>     <span class="bp">self</span><span class="o">.</span><span class="n">spherical_basis</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">cosφ</span><span class="p">,</span> <span class="n">ϑ</span><span class="p">:</span> <span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">114</span>         <span class="n">circular_basis</span><span class="p">(</span><span class="n">cosφ</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="kc">None</span><span class="p">]</span>
+<span class="g g-Whitespace">    </span><span class="mi">115</span>         <span class="o">*</span> <span class="n">circular_basis</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">ϑ</span><span class="p">))[:,</span> <span class="kc">None</span><span class="p">,</span> <span class="p">:]</span>
+<span class="ne">--&gt; </span><span class="mi">116</span>     <span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">cosφ</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">118</span> <span class="k">elif</span> <span class="n">sbf_name</span> <span class="o">==</span> <span class="s2">&quot;gaussian_outer&quot;</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">119</span>     <span class="bp">self</span><span class="o">.</span><span class="n">circular_basis</span> <span class="o">=</span> <span class="n">GaussianBasis</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">120</span>         <span class="n">start</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">stop</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">num_gaussians</span><span class="o">=</span><span class="n">num_spherical</span><span class="p">,</span> <span class="o">**</span><span class="n">sbf_hparams</span>
+<span class="g g-Whitespace">    </span><span class="mi">121</span>     <span class="p">)</span>
+
+<span class="ne">RuntimeError</span>: cannot reshape tensor of 0 elements into shape [0, -1] because the unspecified dimension size -1 can be any value and is ambiguous
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="i-get-wildly-different-energies-from-the-different-models">
+<h1>I get wildly different energies from the different models<a class="headerlink" href="#i-get-wildly-different-energies-from-the-different-models" title="Link to this heading">#</a></h1>
+<p>Some models are trained on adsorption energies, and some are trained on total energies. You have to know which one you are using.</p>
+<p>Sometimes you can tell by the magnitude of energies, but you should use care with this. If energies are “small” and near zero they are likely adsorption energies. If energies are “large” in magnitude they are probably total energies. This can be misleading though, as it depends on the total number of atoms in the systems.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># These are to suppress the output from making the calculators.</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">io</span><span class="w"> </span><span class="kn">import</span> <span class="n">StringIO</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">contextlib</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc111</span><span class="p">,</span> <span class="n">add_adsorbate</span>
+<span class="n">slab</span> <span class="o">=</span> <span class="n">fcc111</span><span class="p">(</span><span class="s1">&#39;Pt&#39;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">),</span> <span class="n">vacuum</span><span class="o">=</span><span class="mf">10.0</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">position</span><span class="o">=</span><span class="s1">&#39;fcc&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="c1"># OC20 model - trained on adsorption energies</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EF-OC20-All&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+
+<span class="k">with</span> <span class="n">contextlib</span><span class="o">.</span><span class="n">redirect_stdout</span><span class="p">(</span><span class="n">StringIO</span><span class="p">())</span> <span class="k">as</span> <span class="n">_</span><span class="p">:</span>
+    <span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+
+
+<span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Checking local cache: /tmp/fairchem_checkpoints/ for model GemNet-OC-S2EF-OC20-All
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  factor: 0.8
+  force_coefficient: 100
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0005
+  max_epochs: 80
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/46876566
+  gpus_per_node: 8
+  job_id: &#39;46876566&#39;
+  job_name: gemnet_q_all_fc100
+  mem: 480GB
+  nodes: 4
+  ntasks_per_node: 8
+  partition: learnaccel
+  time: 4320
+task:
+  dataset: trajectory_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetOC with 38864438 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3446/2356712572.py:11: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.2851653099060059
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># An OC22 checkpoint - trained on total energy</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EFS-OC20+OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+
+<span class="k">with</span> <span class="n">contextlib</span><span class="o">.</span><span class="n">redirect_stdout</span><span class="p">(</span><span class="n">StringIO</span><span class="p">())</span> <span class="k">as</span> <span class="n">_</span><span class="p">:</span>
+    <span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+
+
+<span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Checking local cache: /tmp/fairchem_checkpoints/ for model GemNet-OC-S2EFS-OC20+OC22
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: oc22_lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  oc20_ref: /checkpoint/janlan/ocp/other_data/final_ref_energies_02_07_2021.pkl
+  raw_energy_target: true
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  factor: 0.8
+  force_coefficient: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_initial: 0.0005
+  max_epochs: 80
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/57632342
+  gpus_per_node: 8
+  job_id: &#39;57632342&#39;
+  job_name: gnoc_oc22_oc20_all_s2ef
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: ocp,learnaccel
+  time: 4320
+task:
+  dataset: oc22_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetOC with 38864438 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3446/2054440827.py:9: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-110.40040588378906
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># This eSCN model is trained on adsorption energies</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;eSCN-L4-M2-Lay12-S2EF-OC20-2M&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+
+<span class="k">with</span> <span class="n">contextlib</span><span class="o">.</span><span class="n">redirect_stdout</span><span class="p">(</span><span class="n">StringIO</span><span class="p">())</span> <span class="k">as</span> <span class="n">_</span><span class="p">:</span>
+    <span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+<span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Checking local cache: /tmp/fairchem_checkpoints/ for model eSCN-L4-M2-Lay12-S2EF-OC20-2M
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 2
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  basis_width_scalar: 2.0
+  cutoff: 12.0
+  distance_function: gaussian
+  hidden_channels: 256
+  lmax_list:
+  - 4
+  max_neighbors: 20
+  mmax_list:
+  - 2
+  name: escn
+  num_layers: 12
+  num_sphere_samples: 128
+  otf_graph: true
+  regress_forces: true
+  sphere_channels: 128
+  use_pbc: true
+optim:
+  batch_size: 6
+  clip_grad_norm: 20
+  ema_decay: 0.999
+  energy_coefficient: 2
+  eval_batch_size: 6
+  eval_every: 5000
+  force_coefficient: 100
+  loss_energy: mae
+  loss_force: l2mae
+  lr_gamma: 0.3
+  lr_initial: 0.0008
+  lr_milestones:
+  - 145833
+  - 187500
+  - 229166
+  max_epochs: 12
+  num_workers: 8
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  warmup_factor: 0.2
+  warmup_steps: 100
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  cpus_per_task: 9
+  folder: /checkpoint/zitnick/ocp_logs/3710525
+  gpus_per_node: 8
+  job_id: &#39;3710525&#39;
+  job_name: eSCN-L4-M2-Lay12-2M
+  mem: 480GB
+  nodes: 2
+  ntasks_per_node: 8
+  partition: learnaccel
+  time: 4320
+task:
+  dataset: trajectory_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  primary_metric: forces_mae
+  relax_dataset:
+    src: /checkpoint/electrocatalysis/relaxations/features/init_to_relaxed/test/id/data.lmdb
+  relax_opt:
+    alpha: 70.0
+    damping: 1.0
+    maxstep: 0.04
+    memory: 50
+    name: lbfgs
+    traj_dir: /checkpoint/zitnick/ocp/mloutputs/scn_relaxations/SCNF72-6-lay12/val_id/
+  relaxation_steps: 200
+  train_on_free_atoms: true
+  type: regression
+  write_pos: true
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: escn
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded eSCN with 36112896 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3446/1817216860.py:7: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.6788380146026611
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="miscellaneous-warnings">
+<h1>Miscellaneous warnings<a class="headerlink" href="#miscellaneous-warnings" title="Link to this heading">#</a></h1>
+<p>In general, warnings are not errors.</p>
+<section id="unrecognized-arguments">
+<h2>Unrecognized arguments<a class="headerlink" href="#unrecognized-arguments" title="Link to this heading">#</a></h2>
+<p>With Gemnet models you might see warnings like:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">WARNING</span><span class="p">:</span><span class="n">root</span><span class="p">:</span><span class="n">Unrecognized</span> <span class="n">arguments</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;symmetric_edge_symmetrization&#39;</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>You can ignore this warning, it is not important for predictions.</p>
+</section>
+<section id="unable-to-identify-ocp-trainer">
+<h2>Unable to identify ocp trainer<a class="headerlink" href="#unable-to-identify-ocp-trainer" title="Link to this heading">#</a></h2>
+<p>The trainer is not specified in some checkpoints, and defaults to <code class="docutils literal notranslate"><span class="pre">forces</span></code> which means energy and forces are calculated. This is the default for the ASE OCP calculator, and this warning just alerts you it is setting that.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unable to identify ocp trainer, defaulting to `forces`. Specify the `trainer` argument into OCPCalculator if otherwise.
+</pre></div>
+</div>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="request-entity-too-large-can-t-save-your-notebook">
+<h1>Request entity too large - can’t save your Notebook<a class="headerlink" href="#request-entity-too-large-can-t-save-your-notebook" title="Link to this heading">#</a></h1>
+<p>If you run commands that generate a lot of output in a notebook, sometimes the Jupyter notebook will become too large to save. It is kind of sad, the only thing I know to do is delete the output of the cell. Then maybe you can save it.</p>
+<p>A solution after you know it happens is redirect output to a file.</p>
+<p>This has happened when running training in a notebook where there are too many lines of output, or if you have a lot (20+) of inline images.</p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="you-need-at-least-four-atoms-for-molecules-with-some-models">
+<h1>You need at least four atoms for molecules with some models<a class="headerlink" href="#you-need-at-least-four-atoms-for-molecules-with-some-models" title="Link to this heading">#</a></h1>
+<p>Gemnet in particular seems to require at least 4 atoms. This has to do with interactions between atoms and their neighbors.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%capture</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EFS-OC20+OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Checking local cache: /tmp/fairchem_checkpoints/ for model GemNet-OC-S2EFS-OC20+OC22
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: oc22_lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  oc20_ref: /checkpoint/janlan/ocp/other_data/final_ref_energies_02_07_2021.pkl
+  raw_energy_target: true
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  factor: 0.8
+  force_coefficient: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_initial: 0.0005
+  max_epochs: 80
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/57632342
+  gpus_per_node: 8
+  job_id: &#39;57632342&#39;
+  job_name: gnoc_oc22_oc20_all_s2ef
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: ocp,learnaccel
+  time: 4320
+task:
+  dataset: oc22_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetOC with 38864438 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%capture</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">molecule</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+
+<span class="n">atoms</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s1">&#39;H2O&#39;</span><span class="p">)</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
+<span class="ne">RuntimeError</span><span class="g g-Whitespace">                              </span>Traceback (most recent call last)
+<span class="n">Cell</span> <span class="n">In</span><span class="p">[</span><span class="mi">9</span><span class="p">],</span> <span class="n">line</span> <span class="mi">7</span>
+<span class="g g-Whitespace">      </span><span class="mi">5</span> <span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>
+<span class="g g-Whitespace">      </span><span class="mi">6</span> <span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="ne">----&gt; </span><span class="mi">7</span> <span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/atoms.py:770,</span> in <span class="ni">Atoms.get_potential_energy</span><span class="nt">(self, force_consistent, apply_constraint)</span>
+<span class="g g-Whitespace">    </span><span class="mi">767</span>     <span class="n">energy</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_calc</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">768</span>         <span class="bp">self</span><span class="p">,</span> <span class="n">force_consistent</span><span class="o">=</span><span class="n">force_consistent</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">769</span> <span class="k">else</span><span class="p">:</span>
+<span class="ne">--&gt; </span><span class="mi">770</span>     <span class="n">energy</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_calc</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">771</span> <span class="k">if</span> <span class="n">apply_constraint</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">772</span>     <span class="k">for</span> <span class="n">constraint</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">constraints</span><span class="p">:</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/calculators/abc.py:24,</span> in <span class="ni">GetPropertiesMixin.get_potential_energy</span><span class="nt">(self, atoms, force_consistent)</span>
+<span class="g g-Whitespace">     </span><span class="mi">22</span> <span class="k">else</span><span class="p">:</span>
+<span class="g g-Whitespace">     </span><span class="mi">23</span>     <span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;energy&#39;</span>
+<span class="ne">---&gt; </span><span class="mi">24</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_property</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">atoms</span><span class="p">)</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/calculators/calculator.py:538,</span> in <span class="ni">BaseCalculator.get_property</span><span class="nt">(self, name, atoms, allow_calculation)</span>
+<span class="g g-Whitespace">    </span><span class="mi">535</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_cache</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">536</span>         <span class="bp">self</span><span class="o">.</span><span class="n">atoms</span> <span class="o">=</span> <span class="n">atoms</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+<span class="ne">--&gt; </span><span class="mi">538</span>     <span class="bp">self</span><span class="o">.</span><span class="n">calculate</span><span class="p">(</span><span class="n">atoms</span><span class="p">,</span> <span class="p">[</span><span class="n">name</span><span class="p">],</span> <span class="n">system_changes</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">540</span> <span class="k">if</span> <span class="n">name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">results</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">541</span>     <span class="c1"># For some reason the calculator was not able to do what we want,</span>
+<span class="g g-Whitespace">    </span><span class="mi">542</span>     <span class="c1"># and that is OK.</span>
+<span class="g g-Whitespace">    </span><span class="mi">543</span>     <span class="k">raise</span> <span class="n">PropertyNotImplementedError</span><span class="p">(</span>
+<span class="nn">    544         &#39;{} not present</span> in <span class="ni">this &#39; &#39;calculation&#39;.format</span><span class="nt">(name)</span>
+<span class="g g-Whitespace">    </span><span class="mi">545</span>     <span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:292,</span> in <span class="ni">OCPCalculator.calculate</span><span class="nt">(self, atoms, properties, system_changes)</span>
+<span class="g g-Whitespace">    </span><span class="mi">289</span> <span class="k">else</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">290</span>     <span class="n">batch</span> <span class="o">=</span> <span class="n">atoms</span>
+<span class="ne">--&gt; </span><span class="mi">292</span> <span class="n">predictions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">per_image</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">294</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">295</span>     <span class="n">_pred</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/utils/_contextlib.py:116,</span> in <span class="ni">context_decorator.&lt;locals&gt;.decorate_context</span><span class="nt">(*args, **kwargs)</span>
+<span class="g g-Whitespace">    </span><span class="mi">113</span> <span class="nd">@functools</span><span class="o">.</span><span class="n">wraps</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">114</span> <span class="k">def</span><span class="w"> </span><span class="nf">decorate_context</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">115</span>     <span class="k">with</span> <span class="n">ctx_factory</span><span class="p">():</span>
+<span class="ne">--&gt; </span><span class="mi">116</span>         <span class="k">return</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:473,</span> in <span class="ni">OCPTrainer.predict</span><span class="nt">(self, data_loader, per_image, results_file, disable_tqdm)</span>
+<span class="g g-Whitespace">    </span><span class="mi">465</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">batch</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">466</span>     <span class="nb">enumerate</span><span class="p">(</span><span class="n">data_loader</span><span class="p">),</span>
+<span class="g g-Whitespace">    </span><span class="mi">467</span>     <span class="n">total</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">data_loader</span><span class="p">),</span>
+   <span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">470</span>     <span class="n">disable</span><span class="o">=</span><span class="n">disable_tqdm</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">471</span> <span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">472</span>     <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">autocast</span><span class="p">(</span><span class="s2">&quot;cuda&quot;</span><span class="p">,</span> <span class="n">enabled</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">scaler</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">):</span>
+<span class="ne">--&gt; </span><span class="mi">473</span>         <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward</span><span class="p">(</span><span class="n">batch</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">475</span>     <span class="k">for</span> <span class="n">target_key</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;outputs&quot;</span><span class="p">]:</span>
+<span class="g g-Whitespace">    </span><span class="mi">476</span>         <span class="n">pred</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_denorm_preds</span><span class="p">(</span><span class="n">target_key</span><span class="p">,</span> <span class="n">out</span><span class="p">[</span><span class="n">target_key</span><span class="p">],</span> <span class="n">batch</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:254,</span> in <span class="ni">OCPTrainer._forward</span><span class="nt">(self, batch)</span>
+<span class="g g-Whitespace">    </span><span class="mi">253</span> <span class="k">def</span><span class="w"> </span><span class="nf">_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">):</span>
+<span class="ne">--&gt; </span><span class="mi">254</span>     <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">batch</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">))</span>
+<span class="g g-Whitespace">    </span><span class="mi">256</span>     <span class="n">outputs</span> <span class="o">=</span> <span class="p">{}</span>
+<span class="g g-Whitespace">    </span><span class="mi">257</span>     <span class="n">batch_size</span> <span class="o">=</span> <span class="n">batch</span><span class="o">.</span><span class="n">natoms</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1553,</span> in <span class="ni">Module._wrapped_call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1551</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_compiled_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>  <span class="c1"># type: ignore[misc]</span>
+<span class="g g-Whitespace">   </span><span class="mi">1552</span> <span class="k">else</span><span class="p">:</span>
+<span class="ne">-&gt; </span><span class="mi">1553</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1562,</span> in <span class="ni">Module._call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1557</span> <span class="c1"># If we don&#39;t have any hooks, we want to skip the rest of the logic in</span>
+<span class="g g-Whitespace">   </span><span class="mi">1558</span> <span class="c1"># this function, and just call forward.</span>
+<span class="g g-Whitespace">   </span><span class="mi">1559</span> <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_backward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_pre_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_pre_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1560</span>         <span class="ow">or</span> <span class="n">_global_backward_pre_hooks</span> <span class="ow">or</span> <span class="n">_global_backward_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1561</span>         <span class="ow">or</span> <span class="n">_global_forward_hooks</span> <span class="ow">or</span> <span class="n">_global_forward_pre_hooks</span><span class="p">):</span>
+<span class="ne">-&gt; </span><span class="mi">1562</span>     <span class="k">return</span> <span class="n">forward_call</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1564</span> <span class="k">try</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">1565</span>     <span class="n">result</span> <span class="o">=</span> <span class="kc">None</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/common/utils.py:176,</span> in <span class="ni">conditional_grad.&lt;locals&gt;.decorator.&lt;locals&gt;.cls_method</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">    </span><span class="mi">174</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">regress_forces</span> <span class="ow">and</span> <span class="ow">not</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s2">&quot;direct_forces&quot;</span><span class="p">,</span> <span class="mi">0</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">175</span>     <span class="n">f</span> <span class="o">=</span> <span class="n">dec</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">176</span> <span class="k">return</span> <span class="n">f</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/gemnet_oc.py:1218,</span> in <span class="ni">GemNetOC.forward</span><span class="nt">(self, data)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1196</span> <span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1197</span>     <span class="n">main_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1198</span>     <span class="n">a2a_graph</span><span class="p">,</span>
+   <span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1205</span>     <span class="n">quad_idx</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1206</span> <span class="p">)</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_graphs_and_indices</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1207</span> <span class="n">_</span><span class="p">,</span> <span class="n">idx_t</span> <span class="o">=</span> <span class="n">main_graph</span><span class="p">[</span><span class="s2">&quot;edge_index&quot;</span><span class="p">]</span>
+<span class="g g-Whitespace">   </span><span class="mi">1209</span> <span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1210</span>     <span class="n">basis_rad_raw</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1211</span>     <span class="n">basis_atom_update</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1212</span>     <span class="n">basis_output</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1213</span>     <span class="n">bases_qint</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1214</span>     <span class="n">bases_e2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1215</span>     <span class="n">bases_a2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1216</span>     <span class="n">bases_e2a</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1217</span>     <span class="n">basis_a2a_rad</span><span class="p">,</span>
+<span class="ne">-&gt; </span><span class="mi">1218</span> <span class="p">)</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bases</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1219</span>     <span class="n">main_graph</span><span class="o">=</span><span class="n">main_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1220</span>     <span class="n">a2a_graph</span><span class="o">=</span><span class="n">a2a_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1221</span>     <span class="n">a2ee2a_graph</span><span class="o">=</span><span class="n">a2ee2a_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1222</span>     <span class="n">qint_graph</span><span class="o">=</span><span class="n">qint_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1223</span>     <span class="n">trip_idx_e2e</span><span class="o">=</span><span class="n">trip_idx_e2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1224</span>     <span class="n">trip_idx_a2e</span><span class="o">=</span><span class="n">trip_idx_a2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1225</span>     <span class="n">trip_idx_e2a</span><span class="o">=</span><span class="n">trip_idx_e2a</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1226</span>     <span class="n">quad_idx</span><span class="o">=</span><span class="n">quad_idx</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1227</span>     <span class="n">num_atoms</span><span class="o">=</span><span class="n">num_atoms</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1228</span> <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1230</span> <span class="c1"># Embedding block</span>
+<span class="g g-Whitespace">   </span><span class="mi">1231</span> <span class="n">h</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">atom_emb</span><span class="p">(</span><span class="n">atomic_numbers</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/gemnet_oc.py:1091,</span> in <span class="ni">GemNetOC.get_bases</span><span class="nt">(self, main_graph, a2a_graph, a2ee2a_graph, qint_graph, trip_idx_e2e, trip_idx_a2e, trip_idx_e2a, quad_idx, num_atoms)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1082</span>     <span class="n">cosφ_cab_q</span><span class="p">,</span> <span class="n">cosφ_abd</span><span class="p">,</span> <span class="n">angle_cabd</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calculate_quad_angles</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1083</span>         <span class="n">main_graph</span><span class="p">[</span><span class="s2">&quot;vector&quot;</span><span class="p">],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1084</span>         <span class="n">qint_graph</span><span class="p">[</span><span class="s2">&quot;vector&quot;</span><span class="p">],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1085</span>         <span class="n">quad_idx</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1086</span>     <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1088</span>     <span class="n">basis_rad_cir_qint_raw</span><span class="p">,</span> <span class="n">basis_cir_qint_raw</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cbf_basis_qint</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1089</span>         <span class="n">qint_graph</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">],</span> <span class="n">cosφ_abd</span>
+<span class="g g-Whitespace">   </span><span class="mi">1090</span>     <span class="p">)</span>
+<span class="ne">-&gt; </span><span class="mi">1091</span>     <span class="n">basis_rad_sph_qint_raw</span><span class="p">,</span> <span class="n">basis_sph_qint_raw</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sbf_basis_qint</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1092</span>         <span class="n">main_graph</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1093</span>         <span class="n">cosφ_cab_q</span><span class="p">[</span><span class="n">quad_idx</span><span class="p">[</span><span class="s2">&quot;trip_out_to_quad&quot;</span><span class="p">]],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1094</span>         <span class="n">angle_cabd</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1095</span>     <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1096</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">atom_edge_interaction</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">1097</span>     <span class="n">basis_rad_a2ee2a_raw</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">radial_basis_aeaint</span><span class="p">(</span><span class="n">a2ee2a_graph</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">])</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1553,</span> in <span class="ni">Module._wrapped_call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1551</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_compiled_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>  <span class="c1"># type: ignore[misc]</span>
+<span class="g g-Whitespace">   </span><span class="mi">1552</span> <span class="k">else</span><span class="p">:</span>
+<span class="ne">-&gt; </span><span class="mi">1553</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1562,</span> in <span class="ni">Module._call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1557</span> <span class="c1"># If we don&#39;t have any hooks, we want to skip the rest of the logic in</span>
+<span class="g g-Whitespace">   </span><span class="mi">1558</span> <span class="c1"># this function, and just call forward.</span>
+<span class="g g-Whitespace">   </span><span class="mi">1559</span> <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_backward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_pre_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_pre_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1560</span>         <span class="ow">or</span> <span class="n">_global_backward_pre_hooks</span> <span class="ow">or</span> <span class="n">_global_backward_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1561</span>         <span class="ow">or</span> <span class="n">_global_forward_hooks</span> <span class="ow">or</span> <span class="n">_global_forward_pre_hooks</span><span class="p">):</span>
+<span class="ne">-&gt; </span><span class="mi">1562</span>     <span class="k">return</span> <span class="n">forward_call</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1564</span> <span class="k">try</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">1565</span>     <span class="n">result</span> <span class="o">=</span> <span class="kc">None</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/layers/spherical_basis.py:132,</span> in <span class="ni">SphericalBasisLayer.forward</span><span class="nt">(self, D_ca, cosφ_cab, θ_cabd)</span>
+<span class="g g-Whitespace">    </span><span class="mi">130</span> <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">D_ca</span><span class="p">,</span> <span class="n">cosφ_cab</span><span class="p">,</span> <span class="n">θ_cabd</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">131</span>     <span class="n">rad_basis</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">radial_basis</span><span class="p">(</span><span class="n">D_ca</span><span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">132</span>     <span class="n">sph_basis</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">spherical_basis</span><span class="p">(</span><span class="n">cosφ_cab</span><span class="p">,</span> <span class="n">θ_cabd</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">133</span>     <span class="c1"># (num_quadruplets, num_spherical**2)</span>
+<span class="g g-Whitespace">    </span><span class="mi">135</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">scale_basis</span><span class="p">:</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/layers/spherical_basis.py:116,</span> in <span class="ni">SphericalBasisLayer.__init__.&lt;locals&gt;.&lt;lambda&gt;</span><span class="nt">(cosφ, θ)</span>
+<span class="g g-Whitespace">    </span><span class="mi">111</span> <span class="k">elif</span> <span class="n">sbf_name</span> <span class="o">==</span> <span class="s2">&quot;legendre_outer&quot;</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">112</span>     <span class="n">circular_basis</span> <span class="o">=</span> <span class="n">get_sph_harm_basis</span><span class="p">(</span><span class="n">num_spherical</span><span class="p">,</span> <span class="n">zero_m_only</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">113</span>     <span class="bp">self</span><span class="o">.</span><span class="n">spherical_basis</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">cosφ</span><span class="p">,</span> <span class="n">ϑ</span><span class="p">:</span> <span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">114</span>         <span class="n">circular_basis</span><span class="p">(</span><span class="n">cosφ</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="kc">None</span><span class="p">]</span>
+<span class="g g-Whitespace">    </span><span class="mi">115</span>         <span class="o">*</span> <span class="n">circular_basis</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">ϑ</span><span class="p">))[:,</span> <span class="kc">None</span><span class="p">,</span> <span class="p">:]</span>
+<span class="ne">--&gt; </span><span class="mi">116</span>     <span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">cosφ</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">118</span> <span class="k">elif</span> <span class="n">sbf_name</span> <span class="o">==</span> <span class="s2">&quot;gaussian_outer&quot;</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">119</span>     <span class="bp">self</span><span class="o">.</span><span class="n">circular_basis</span> <span class="o">=</span> <span class="n">GaussianBasis</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">120</span>         <span class="n">start</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">stop</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">num_gaussians</span><span class="o">=</span><span class="n">num_spherical</span><span class="p">,</span> <span class="o">**</span><span class="n">sbf_hparams</span>
+<span class="g g-Whitespace">    </span><span class="mi">121</span>     <span class="p">)</span>
+
+<span class="ne">RuntimeError</span>: cannot reshape tensor of 0 elements into shape [0, -1] because the unspecified dimension size -1 can be any value and is ambiguous
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="to-tag-or-not">
+<h1>To tag or not?<a class="headerlink" href="#to-tag-or-not" title="Link to this heading">#</a></h1>
+<p>Some models use tags to determine which atoms to calculate energies for. For example, Gemnet uses a tag=1 to indicate the atom should be calculated. You will get an error with this model</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%capture</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EFS-OC20+OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Checking local cache: /tmp/fairchem_checkpoints/ for model GemNet-OC-S2EFS-OC20+OC22
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: oc22_lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  oc20_ref: /checkpoint/janlan/ocp/other_data/final_ref_energies_02_07_2021.pkl
+  raw_energy_target: true
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  factor: 0.8
+  force_coefficient: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_initial: 0.0005
+  max_epochs: 80
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/57632342
+  gpus_per_node: 8
+  job_id: &#39;57632342&#39;
+  job_name: gnoc_oc22_oc20_all_s2ef
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: ocp,learnaccel
+  time: 4320
+task:
+  dataset: oc22_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetOC with 38864438 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%capture</span>
+<span class="n">atoms</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s1">&#39;CH4&#39;</span><span class="p">)</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>  <span class="c1"># error</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
+<span class="ne">RuntimeError</span><span class="g g-Whitespace">                              </span>Traceback (most recent call last)
+<span class="n">Cell</span> <span class="n">In</span><span class="p">[</span><span class="mi">11</span><span class="p">],</span> <span class="n">line</span> <span class="mi">3</span>
+<span class="g g-Whitespace">      </span><span class="mi">1</span> <span class="n">atoms</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s1">&#39;CH4&#39;</span><span class="p">)</span>
+<span class="g g-Whitespace">      </span><span class="mi">2</span> <span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="ne">----&gt; </span><span class="mi">3</span> <span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>  <span class="c1"># error</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/atoms.py:770,</span> in <span class="ni">Atoms.get_potential_energy</span><span class="nt">(self, force_consistent, apply_constraint)</span>
+<span class="g g-Whitespace">    </span><span class="mi">767</span>     <span class="n">energy</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_calc</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">768</span>         <span class="bp">self</span><span class="p">,</span> <span class="n">force_consistent</span><span class="o">=</span><span class="n">force_consistent</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">769</span> <span class="k">else</span><span class="p">:</span>
+<span class="ne">--&gt; </span><span class="mi">770</span>     <span class="n">energy</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_calc</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">771</span> <span class="k">if</span> <span class="n">apply_constraint</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">772</span>     <span class="k">for</span> <span class="n">constraint</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">constraints</span><span class="p">:</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/calculators/abc.py:24,</span> in <span class="ni">GetPropertiesMixin.get_potential_energy</span><span class="nt">(self, atoms, force_consistent)</span>
+<span class="g g-Whitespace">     </span><span class="mi">22</span> <span class="k">else</span><span class="p">:</span>
+<span class="g g-Whitespace">     </span><span class="mi">23</span>     <span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;energy&#39;</span>
+<span class="ne">---&gt; </span><span class="mi">24</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_property</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">atoms</span><span class="p">)</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/calculators/calculator.py:538,</span> in <span class="ni">BaseCalculator.get_property</span><span class="nt">(self, name, atoms, allow_calculation)</span>
+<span class="g g-Whitespace">    </span><span class="mi">535</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_cache</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">536</span>         <span class="bp">self</span><span class="o">.</span><span class="n">atoms</span> <span class="o">=</span> <span class="n">atoms</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+<span class="ne">--&gt; </span><span class="mi">538</span>     <span class="bp">self</span><span class="o">.</span><span class="n">calculate</span><span class="p">(</span><span class="n">atoms</span><span class="p">,</span> <span class="p">[</span><span class="n">name</span><span class="p">],</span> <span class="n">system_changes</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">540</span> <span class="k">if</span> <span class="n">name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">results</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">541</span>     <span class="c1"># For some reason the calculator was not able to do what we want,</span>
+<span class="g g-Whitespace">    </span><span class="mi">542</span>     <span class="c1"># and that is OK.</span>
+<span class="g g-Whitespace">    </span><span class="mi">543</span>     <span class="k">raise</span> <span class="n">PropertyNotImplementedError</span><span class="p">(</span>
+<span class="nn">    544         &#39;{} not present</span> in <span class="ni">this &#39; &#39;calculation&#39;.format</span><span class="nt">(name)</span>
+<span class="g g-Whitespace">    </span><span class="mi">545</span>     <span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:292,</span> in <span class="ni">OCPCalculator.calculate</span><span class="nt">(self, atoms, properties, system_changes)</span>
+<span class="g g-Whitespace">    </span><span class="mi">289</span> <span class="k">else</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">290</span>     <span class="n">batch</span> <span class="o">=</span> <span class="n">atoms</span>
+<span class="ne">--&gt; </span><span class="mi">292</span> <span class="n">predictions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">per_image</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">294</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">295</span>     <span class="n">_pred</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/utils/_contextlib.py:116,</span> in <span class="ni">context_decorator.&lt;locals&gt;.decorate_context</span><span class="nt">(*args, **kwargs)</span>
+<span class="g g-Whitespace">    </span><span class="mi">113</span> <span class="nd">@functools</span><span class="o">.</span><span class="n">wraps</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">114</span> <span class="k">def</span><span class="w"> </span><span class="nf">decorate_context</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">115</span>     <span class="k">with</span> <span class="n">ctx_factory</span><span class="p">():</span>
+<span class="ne">--&gt; </span><span class="mi">116</span>         <span class="k">return</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:473,</span> in <span class="ni">OCPTrainer.predict</span><span class="nt">(self, data_loader, per_image, results_file, disable_tqdm)</span>
+<span class="g g-Whitespace">    </span><span class="mi">465</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">batch</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">466</span>     <span class="nb">enumerate</span><span class="p">(</span><span class="n">data_loader</span><span class="p">),</span>
+<span class="g g-Whitespace">    </span><span class="mi">467</span>     <span class="n">total</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">data_loader</span><span class="p">),</span>
+   <span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">470</span>     <span class="n">disable</span><span class="o">=</span><span class="n">disable_tqdm</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">471</span> <span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">472</span>     <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">autocast</span><span class="p">(</span><span class="s2">&quot;cuda&quot;</span><span class="p">,</span> <span class="n">enabled</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">scaler</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">):</span>
+<span class="ne">--&gt; </span><span class="mi">473</span>         <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward</span><span class="p">(</span><span class="n">batch</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">475</span>     <span class="k">for</span> <span class="n">target_key</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;outputs&quot;</span><span class="p">]:</span>
+<span class="g g-Whitespace">    </span><span class="mi">476</span>         <span class="n">pred</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_denorm_preds</span><span class="p">(</span><span class="n">target_key</span><span class="p">,</span> <span class="n">out</span><span class="p">[</span><span class="n">target_key</span><span class="p">],</span> <span class="n">batch</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:254,</span> in <span class="ni">OCPTrainer._forward</span><span class="nt">(self, batch)</span>
+<span class="g g-Whitespace">    </span><span class="mi">253</span> <span class="k">def</span><span class="w"> </span><span class="nf">_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">):</span>
+<span class="ne">--&gt; </span><span class="mi">254</span>     <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">batch</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">))</span>
+<span class="g g-Whitespace">    </span><span class="mi">256</span>     <span class="n">outputs</span> <span class="o">=</span> <span class="p">{}</span>
+<span class="g g-Whitespace">    </span><span class="mi">257</span>     <span class="n">batch_size</span> <span class="o">=</span> <span class="n">batch</span><span class="o">.</span><span class="n">natoms</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1553,</span> in <span class="ni">Module._wrapped_call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1551</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_compiled_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>  <span class="c1"># type: ignore[misc]</span>
+<span class="g g-Whitespace">   </span><span class="mi">1552</span> <span class="k">else</span><span class="p">:</span>
+<span class="ne">-&gt; </span><span class="mi">1553</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1562,</span> in <span class="ni">Module._call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1557</span> <span class="c1"># If we don&#39;t have any hooks, we want to skip the rest of the logic in</span>
+<span class="g g-Whitespace">   </span><span class="mi">1558</span> <span class="c1"># this function, and just call forward.</span>
+<span class="g g-Whitespace">   </span><span class="mi">1559</span> <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_backward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_pre_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_pre_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1560</span>         <span class="ow">or</span> <span class="n">_global_backward_pre_hooks</span> <span class="ow">or</span> <span class="n">_global_backward_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1561</span>         <span class="ow">or</span> <span class="n">_global_forward_hooks</span> <span class="ow">or</span> <span class="n">_global_forward_pre_hooks</span><span class="p">):</span>
+<span class="ne">-&gt; </span><span class="mi">1562</span>     <span class="k">return</span> <span class="n">forward_call</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1564</span> <span class="k">try</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">1565</span>     <span class="n">result</span> <span class="o">=</span> <span class="kc">None</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/common/utils.py:176,</span> in <span class="ni">conditional_grad.&lt;locals&gt;.decorator.&lt;locals&gt;.cls_method</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">    </span><span class="mi">174</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">regress_forces</span> <span class="ow">and</span> <span class="ow">not</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s2">&quot;direct_forces&quot;</span><span class="p">,</span> <span class="mi">0</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">175</span>     <span class="n">f</span> <span class="o">=</span> <span class="n">dec</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">176</span> <span class="k">return</span> <span class="n">f</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/gemnet_oc.py:1218,</span> in <span class="ni">GemNetOC.forward</span><span class="nt">(self, data)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1196</span> <span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1197</span>     <span class="n">main_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1198</span>     <span class="n">a2a_graph</span><span class="p">,</span>
+   <span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1205</span>     <span class="n">quad_idx</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1206</span> <span class="p">)</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_graphs_and_indices</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1207</span> <span class="n">_</span><span class="p">,</span> <span class="n">idx_t</span> <span class="o">=</span> <span class="n">main_graph</span><span class="p">[</span><span class="s2">&quot;edge_index&quot;</span><span class="p">]</span>
+<span class="g g-Whitespace">   </span><span class="mi">1209</span> <span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1210</span>     <span class="n">basis_rad_raw</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1211</span>     <span class="n">basis_atom_update</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1212</span>     <span class="n">basis_output</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1213</span>     <span class="n">bases_qint</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1214</span>     <span class="n">bases_e2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1215</span>     <span class="n">bases_a2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1216</span>     <span class="n">bases_e2a</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1217</span>     <span class="n">basis_a2a_rad</span><span class="p">,</span>
+<span class="ne">-&gt; </span><span class="mi">1218</span> <span class="p">)</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bases</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1219</span>     <span class="n">main_graph</span><span class="o">=</span><span class="n">main_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1220</span>     <span class="n">a2a_graph</span><span class="o">=</span><span class="n">a2a_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1221</span>     <span class="n">a2ee2a_graph</span><span class="o">=</span><span class="n">a2ee2a_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1222</span>     <span class="n">qint_graph</span><span class="o">=</span><span class="n">qint_graph</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1223</span>     <span class="n">trip_idx_e2e</span><span class="o">=</span><span class="n">trip_idx_e2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1224</span>     <span class="n">trip_idx_a2e</span><span class="o">=</span><span class="n">trip_idx_a2e</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1225</span>     <span class="n">trip_idx_e2a</span><span class="o">=</span><span class="n">trip_idx_e2a</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1226</span>     <span class="n">quad_idx</span><span class="o">=</span><span class="n">quad_idx</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1227</span>     <span class="n">num_atoms</span><span class="o">=</span><span class="n">num_atoms</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1228</span> <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1230</span> <span class="c1"># Embedding block</span>
+<span class="g g-Whitespace">   </span><span class="mi">1231</span> <span class="n">h</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">atom_emb</span><span class="p">(</span><span class="n">atomic_numbers</span><span class="p">)</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/gemnet_oc.py:1091,</span> in <span class="ni">GemNetOC.get_bases</span><span class="nt">(self, main_graph, a2a_graph, a2ee2a_graph, qint_graph, trip_idx_e2e, trip_idx_a2e, trip_idx_e2a, quad_idx, num_atoms)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1082</span>     <span class="n">cosφ_cab_q</span><span class="p">,</span> <span class="n">cosφ_abd</span><span class="p">,</span> <span class="n">angle_cabd</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calculate_quad_angles</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1083</span>         <span class="n">main_graph</span><span class="p">[</span><span class="s2">&quot;vector&quot;</span><span class="p">],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1084</span>         <span class="n">qint_graph</span><span class="p">[</span><span class="s2">&quot;vector&quot;</span><span class="p">],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1085</span>         <span class="n">quad_idx</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1086</span>     <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1088</span>     <span class="n">basis_rad_cir_qint_raw</span><span class="p">,</span> <span class="n">basis_cir_qint_raw</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cbf_basis_qint</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1089</span>         <span class="n">qint_graph</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">],</span> <span class="n">cosφ_abd</span>
+<span class="g g-Whitespace">   </span><span class="mi">1090</span>     <span class="p">)</span>
+<span class="ne">-&gt; </span><span class="mi">1091</span>     <span class="n">basis_rad_sph_qint_raw</span><span class="p">,</span> <span class="n">basis_sph_qint_raw</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sbf_basis_qint</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1092</span>         <span class="n">main_graph</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1093</span>         <span class="n">cosφ_cab_q</span><span class="p">[</span><span class="n">quad_idx</span><span class="p">[</span><span class="s2">&quot;trip_out_to_quad&quot;</span><span class="p">]],</span>
+<span class="g g-Whitespace">   </span><span class="mi">1094</span>         <span class="n">angle_cabd</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1095</span>     <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1096</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">atom_edge_interaction</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">1097</span>     <span class="n">basis_rad_a2ee2a_raw</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">radial_basis_aeaint</span><span class="p">(</span><span class="n">a2ee2a_graph</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">])</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1553,</span> in <span class="ni">Module._wrapped_call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1551</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_compiled_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>  <span class="c1"># type: ignore[misc]</span>
+<span class="g g-Whitespace">   </span><span class="mi">1552</span> <span class="k">else</span><span class="p">:</span>
+<span class="ne">-&gt; </span><span class="mi">1553</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_impl</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/nn/modules/module.py:1562,</span> in <span class="ni">Module._call_impl</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1557</span> <span class="c1"># If we don&#39;t have any hooks, we want to skip the rest of the logic in</span>
+<span class="g g-Whitespace">   </span><span class="mi">1558</span> <span class="c1"># this function, and just call forward.</span>
+<span class="g g-Whitespace">   </span><span class="mi">1559</span> <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_backward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_pre_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_hooks</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_forward_pre_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1560</span>         <span class="ow">or</span> <span class="n">_global_backward_pre_hooks</span> <span class="ow">or</span> <span class="n">_global_backward_hooks</span>
+<span class="g g-Whitespace">   </span><span class="mi">1561</span>         <span class="ow">or</span> <span class="n">_global_forward_hooks</span> <span class="ow">or</span> <span class="n">_global_forward_pre_hooks</span><span class="p">):</span>
+<span class="ne">-&gt; </span><span class="mi">1562</span>     <span class="k">return</span> <span class="n">forward_call</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1564</span> <span class="k">try</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">1565</span>     <span class="n">result</span> <span class="o">=</span> <span class="kc">None</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/layers/spherical_basis.py:132,</span> in <span class="ni">SphericalBasisLayer.forward</span><span class="nt">(self, D_ca, cosφ_cab, θ_cabd)</span>
+<span class="g g-Whitespace">    </span><span class="mi">130</span> <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">D_ca</span><span class="p">,</span> <span class="n">cosφ_cab</span><span class="p">,</span> <span class="n">θ_cabd</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">131</span>     <span class="n">rad_basis</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">radial_basis</span><span class="p">(</span><span class="n">D_ca</span><span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">132</span>     <span class="n">sph_basis</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">spherical_basis</span><span class="p">(</span><span class="n">cosφ_cab</span><span class="p">,</span> <span class="n">θ_cabd</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">133</span>     <span class="c1"># (num_quadruplets, num_spherical**2)</span>
+<span class="g g-Whitespace">    </span><span class="mi">135</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">scale_basis</span><span class="p">:</span>
+
+<span class="nn">File ~/work/fairchem/fairchem/src/fairchem/core/models/gemnet_oc/layers/spherical_basis.py:116,</span> in <span class="ni">SphericalBasisLayer.__init__.&lt;locals&gt;.&lt;lambda&gt;</span><span class="nt">(cosφ, θ)</span>
+<span class="g g-Whitespace">    </span><span class="mi">111</span> <span class="k">elif</span> <span class="n">sbf_name</span> <span class="o">==</span> <span class="s2">&quot;legendre_outer&quot;</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">112</span>     <span class="n">circular_basis</span> <span class="o">=</span> <span class="n">get_sph_harm_basis</span><span class="p">(</span><span class="n">num_spherical</span><span class="p">,</span> <span class="n">zero_m_only</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">113</span>     <span class="bp">self</span><span class="o">.</span><span class="n">spherical_basis</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">cosφ</span><span class="p">,</span> <span class="n">ϑ</span><span class="p">:</span> <span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">114</span>         <span class="n">circular_basis</span><span class="p">(</span><span class="n">cosφ</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="kc">None</span><span class="p">]</span>
+<span class="g g-Whitespace">    </span><span class="mi">115</span>         <span class="o">*</span> <span class="n">circular_basis</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">ϑ</span><span class="p">))[:,</span> <span class="kc">None</span><span class="p">,</span> <span class="p">:]</span>
+<span class="ne">--&gt; </span><span class="mi">116</span>     <span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">cosφ</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">118</span> <span class="k">elif</span> <span class="n">sbf_name</span> <span class="o">==</span> <span class="s2">&quot;gaussian_outer&quot;</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">119</span>     <span class="bp">self</span><span class="o">.</span><span class="n">circular_basis</span> <span class="o">=</span> <span class="n">GaussianBasis</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">120</span>         <span class="n">start</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">stop</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">num_gaussians</span><span class="o">=</span><span class="n">num_spherical</span><span class="p">,</span> <span class="o">**</span><span class="n">sbf_hparams</span>
+<span class="g g-Whitespace">    </span><span class="mi">121</span>     <span class="p">)</span>
+
+<span class="ne">RuntimeError</span>: cannot reshape tensor of 0 elements into shape [0, -1] because the unspecified dimension size -1 can be any value and is ambiguous
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">atoms</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s1">&#39;CH4&#39;</span><span class="p">)</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>  <span class="c1"># &lt;- critical line for Gemnet</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3446/3906293788.py:3: FutureWarning: Please use atoms.calc = calc
+  atoms.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-23.71796226501465
+</pre></div>
+</div>
+</div>
+</div>
+<p>Not all models require tags though. This EquiformerV2 model does not use them. This is another detail that is important to keep in mind.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Checking local cache: /tmp/fairchem_checkpoints/ for model EquiformerV2-31M-S2EF-OC20-All+MD
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb_v2
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 4
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  alpha_drop: 0.1
+  attn_activation: silu
+  attn_alpha_channels: 64
+  attn_hidden_channels: 64
+  attn_value_channels: 16
+  distance_function: gaussian
+  drop_path_rate: 0.1
+  edge_channels: 128
+  ffn_activation: silu
+  ffn_hidden_channels: 128
+  grid_resolution: 18
+  lmax_list:
+  - 4
+  max_neighbors: 20
+  max_num_elements: 90
+  max_radius: 12.0
+  mmax_list:
+  - 2
+  name: equiformer_v2
+  norm_type: layer_norm_sh
+  num_distance_basis: 512
+  num_heads: 8
+  num_layers: 8
+  num_sphere_samples: 128
+  otf_graph: true
+  proj_drop: 0.0
+  regress_forces: true
+  sphere_channels: 128
+  use_atom_edge_embedding: true
+  use_gate_act: false
+  use_grid_mlp: true
+  use_pbc: true
+  use_s2_act_attn: false
+  weight_init: uniform
+optim:
+  batch_size: 8
+  clip_grad_norm: 100
+  ema_decay: 0.999
+  energy_coefficient: 4
+  eval_batch_size: 8
+  eval_every: 10000
+  force_coefficient: 100
+  grad_accumulation_steps: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0004
+  max_epochs: 3
+  num_workers: 8
+  optimizer: AdamW
+  optimizer_params:
+    weight_decay: 0.001
+  scheduler: LambdaLR
+  scheduler_params:
+    epochs: 1009275
+    lambda_type: cosine
+    lr: 0.0004
+    lr_min_factor: 0.01
+    warmup_epochs: 3364.25
+    warmup_factor: 0.2
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 9
+  folder: /checkpoint/abhshkdz/open-catalyst-project/logs/equiformer_v2/8307793
+  gpus_per_node: 8
+  job_id: &#39;8307793&#39;
+  job_name: eq2s_051701_allmd
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: learnaccel
+  time: 4320
+task:
+  dataset: trajectory_lmdb_v2
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: equiformer_v2
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:equiformer_v2 (EquiformerV2) class is deprecated in favor of equiformer_v2_backbone_and_heads  (EquiformerV2BackboneAndHeads)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded EquiformerV2 with 31058690 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">atoms</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s1">&#39;CH4&#39;</span><span class="p">)</span>
+
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3446/4094489779.py:3: FutureWarning: Please use atoms.calc = calc
+  atoms.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.4297369122505188
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="stochastic-simulation-results">
+<h1>Stochastic simulation results<a class="headerlink" href="#stochastic-simulation-results" title="Link to this heading">#</a></h1>
+<p>Some models are not deterministic (SCN/eSCN/EqV2), i.e. you can get slightly different answers each time you run it.
+An example is shown below. See <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/issues/563">Issue 563</a> for more discussion.
+This happens because a random selection of is made to sample edges, and a different selection is made each time you run it.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc111</span><span class="p">,</span> <span class="n">add_adsorbate</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+<span class="n">slab</span> <span class="o">=</span> <span class="n">fcc111</span><span class="p">(</span><span class="s1">&#39;Pt&#39;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">),</span> <span class="n">vacuum</span><span class="o">=</span><span class="mf">10.0</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">position</span><span class="o">=</span><span class="s1">&#39;fcc&#39;</span><span class="p">)</span>
+<span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">):</span>
+    <span class="n">calc</span><span class="o">.</span><span class="n">calculate</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">],</span> <span class="kc">None</span><span class="p">)</span>
+    <span class="n">results</span> <span class="o">+=</span> <span class="p">[</span><span class="n">slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()]</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">results</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">results</span><span class="p">))</span>
+<span class="k">for</span> <span class="n">result</span> <span class="ow">in</span> <span class="n">results</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Checking local cache: /tmp/fairchem_checkpoints/ for model EquiformerV2-31M-S2EF-OC20-All+MD
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb_v2
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 4
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  alpha_drop: 0.1
+  attn_activation: silu
+  attn_alpha_channels: 64
+  attn_hidden_channels: 64
+  attn_value_channels: 16
+  distance_function: gaussian
+  drop_path_rate: 0.1
+  edge_channels: 128
+  ffn_activation: silu
+  ffn_hidden_channels: 128
+  grid_resolution: 18
+  lmax_list:
+  - 4
+  max_neighbors: 20
+  max_num_elements: 90
+  max_radius: 12.0
+  mmax_list:
+  - 2
+  name: equiformer_v2
+  norm_type: layer_norm_sh
+  num_distance_basis: 512
+  num_heads: 8
+  num_layers: 8
+  num_sphere_samples: 128
+  otf_graph: true
+  proj_drop: 0.0
+  regress_forces: true
+  sphere_channels: 128
+  use_atom_edge_embedding: true
+  use_gate_act: false
+  use_grid_mlp: true
+  use_pbc: true
+  use_s2_act_attn: false
+  weight_init: uniform
+optim:
+  batch_size: 8
+  clip_grad_norm: 100
+  ema_decay: 0.999
+  energy_coefficient: 4
+  eval_batch_size: 8
+  eval_every: 10000
+  force_coefficient: 100
+  grad_accumulation_steps: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0004
+  max_epochs: 3
+  num_workers: 8
+  optimizer: AdamW
+  optimizer_params:
+    weight_decay: 0.001
+  scheduler: LambdaLR
+  scheduler_params:
+    epochs: 1009275
+    lambda_type: cosine
+    lr: 0.0004
+    lr_min_factor: 0.01
+    warmup_epochs: 3364.25
+    warmup_factor: 0.2
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 9
+  folder: /checkpoint/abhshkdz/open-catalyst-project/logs/equiformer_v2/8307793
+  gpus_per_node: 8
+  job_id: &#39;8307793&#39;
+  job_name: eq2s_051701_allmd
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: learnaccel
+  time: 4320
+task:
+  dataset: trajectory_lmdb_v2
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: equiformer_v2
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:equiformer_v2 (EquiformerV2) class is deprecated in favor of equiformer_v2_backbone_and_heads  (EquiformerV2BackboneAndHeads)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded EquiformerV2 with 31058690 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3446/3396863997.py:11: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.2127596855163574 2.066966705483746e-06
+1.2127609252929688
+1.2127606868743896
+1.2127580642700195
+1.2127635478973389
+1.212759256362915
+1.2127571105957031
+1.2127561569213867
+1.2127611637115479
+1.212759256362915
+1.2127606868743896
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="the-forces-don-t-sum-to-zero">
+<h1>The forces don’t sum to zero<a class="headerlink" href="#the-forces-don-t-sum-to-zero" title="Link to this heading">#</a></h1>
+<p>In DFT, the forces on all the atoms should sum to zero; otherwise, there is a net translational or rotational force present. This is not enforced in fairchem models. Instead, individual forces are predicted, with no constraint that they sum to zero. If the force predictions are very accurate, then they sum close to zero. You can further improve this if you subtract the mean force from each atom.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc111</span><span class="p">,</span> <span class="n">add_adsorbate</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+<span class="n">slab</span> <span class="o">=</span> <span class="n">fcc111</span><span class="p">(</span><span class="s1">&#39;Pt&#39;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">),</span> <span class="n">vacuum</span><span class="o">=</span><span class="mf">10.0</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">position</span><span class="o">=</span><span class="s1">&#39;fcc&#39;</span><span class="p">)</span>
+<span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+
+<span class="n">f</span> <span class="o">=</span> <span class="n">slab</span><span class="o">.</span><span class="n">get_forces</span><span class="p">()</span>
+<span class="n">f</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Checking local cache: /tmp/fairchem_checkpoints/ for model EquiformerV2-31M-S2EF-OC20-All+MD
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb_v2
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 4
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  alpha_drop: 0.1
+  attn_activation: silu
+  attn_alpha_channels: 64
+  attn_hidden_channels: 64
+  attn_value_channels: 16
+  distance_function: gaussian
+  drop_path_rate: 0.1
+  edge_channels: 128
+  ffn_activation: silu
+  ffn_hidden_channels: 128
+  grid_resolution: 18
+  lmax_list:
+  - 4
+  max_neighbors: 20
+  max_num_elements: 90
+  max_radius: 12.0
+  mmax_list:
+  - 2
+  name: equiformer_v2
+  norm_type: layer_norm_sh
+  num_distance_basis: 512
+  num_heads: 8
+  num_layers: 8
+  num_sphere_samples: 128
+  otf_graph: true
+  proj_drop: 0.0
+  regress_forces: true
+  sphere_channels: 128
+  use_atom_edge_embedding: true
+  use_gate_act: false
+  use_grid_mlp: true
+  use_pbc: true
+  use_s2_act_attn: false
+  weight_init: uniform
+optim:
+  batch_size: 8
+  clip_grad_norm: 100
+  ema_decay: 0.999
+  energy_coefficient: 4
+  eval_batch_size: 8
+  eval_every: 10000
+  force_coefficient: 100
+  grad_accumulation_steps: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0004
+  max_epochs: 3
+  num_workers: 8
+  optimizer: AdamW
+  optimizer_params:
+    weight_decay: 0.001
+  scheduler: LambdaLR
+  scheduler_params:
+    epochs: 1009275
+    lambda_type: cosine
+    lr: 0.0004
+    lr_min_factor: 0.01
+    warmup_epochs: 3364.25
+    warmup_factor: 0.2
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 9
+  folder: /checkpoint/abhshkdz/open-catalyst-project/logs/equiformer_v2/8307793
+  gpus_per_node: 8
+  job_id: &#39;8307793&#39;
+  job_name: eq2s_051701_allmd
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: learnaccel
+  time: 4320
+task:
+  dataset: trajectory_lmdb_v2
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: equiformer_v2
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:equiformer_v2 (EquiformerV2) class is deprecated in favor of equiformer_v2_backbone_and_heads  (EquiformerV2BackboneAndHeads)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded EquiformerV2 with 31058690 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3446/4037009387.py:11: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([ 0.01599154,  0.00170317, -0.07198143], dtype=float32)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># This makes them sum closer to zero by removing net translational force</span>
+<span class="p">(</span><span class="n">f</span> <span class="o">-</span> <span class="n">f</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">))</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([-3.2014214e-09, -5.6694262e-08,  2.3841858e-07], dtype=float32)
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+        },
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+            theme: "abcdef",
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+            path: "./core"
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+    }
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+        <p class="prev-next-subtitle">previous</p>
+        <p class="prev-next-title">Using pre-trained models in ASE</p>
+      </div>
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Common gotchas with fairchem</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#outofmemoryerror">OutOfMemoryError</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#i-want-the-energy-of-a-gas-phase-atom">I want the energy of a gas phase atom</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#i-get-wildly-different-energies-from-the-different-models">I get wildly different energies from the different models</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#miscellaneous-warnings">Miscellaneous warnings</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#unrecognized-arguments">Unrecognized arguments</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#unable-to-identify-ocp-trainer">Unable to identify ocp trainer</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#request-entity-too-large-can-t-save-your-notebook">Request entity too large - can’t save your Notebook</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#you-need-at-least-four-atoms-for-molecules-with-some-models">You need at least four atoms for molecules with some models</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#to-tag-or-not">To tag or not?</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#stochastic-simulation-results">Stochastic simulation results</a></li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Fast batched inference</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Fast batched inference</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#the-ase-calculator-way">The ASE calculator way</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#comparing-ase-calculator-and-main-py">Comparing ASE calculator and main.py</a></li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="fast-batched-inference">
+<h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" title="Link to this heading">#</a></h1>
+<p>The ASE calculator is not necessarily the most efficient way to run a lot of computations. It is better to do a “mass inference” using a command line utility. We illustrate how to do that here.</p>
+<p>In this paper we computed about 10K different gold structures:</p>
+<p>Boes, J. R., Groenenboom, M. C., Keith, J. A., &amp; Kitchin, J. R. (2016). Neural network and Reaxff comparison for Au properties. Int. J. Quantum Chem., 116(13), 979–987. http://dx.doi.org/10.1002/qua.25115</p>
+<p>You can retrieve the dataset below. In this notebook we learn how to do “mass inference” without an ASE calculator. You do this by creating a config.yml file, and running the <code class="docutils literal notranslate"><span class="pre">main.py</span></code> command line utility.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.scripts.download_large_files</span><span class="w"> </span><span class="kn">import</span> <span class="n">download_file_group</span>
+<span class="n">download_file_group</span><span class="p">(</span><span class="s1">&#39;docs&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>docs/tutorials/NRR/NRR_example_bulks.pkl already exists
+docs/core/fine-tuning/supporting-information.json already exists
+docs/core/data.db already exists
+</pre></div>
+</div>
+</div>
+</div>
+<p>Inference on this file will be fast if we have a gpu, but if we don’t this could take a while. To keep things fast for the automated builds, we’ll just select the first 10 structures so it’s still approachable with just a CPU.
+Comment or skip this block to use the whole dataset!</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">!</span><span class="w"> </span>mv<span class="w"> </span>data.db<span class="w"> </span>full_data.db
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">ase.db</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+
+<span class="k">with</span> <span class="n">ase</span><span class="o">.</span><span class="n">db</span><span class="o">.</span><span class="n">connect</span><span class="p">(</span><span class="s1">&#39;full_data.db&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">full_db</span><span class="p">:</span>
+  <span class="k">with</span> <span class="n">ase</span><span class="o">.</span><span class="n">db</span><span class="o">.</span><span class="n">connect</span><span class="p">(</span><span class="s1">&#39;data.db&#39;</span><span class="p">,</span><span class="n">append</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="k">as</span> <span class="n">subset_db</span><span class="p">:</span>
+
+    <span class="c1"># Select 50 random points for the subset, ASE DB ids start at 1</span>
+    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">full_db</span><span class="p">)</span><span class="o">+</span><span class="mi">1</span><span class="p">)),</span><span class="n">size</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span><span class="n">replace</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+      <span class="n">atoms</span> <span class="o">=</span> <span class="n">full_db</span><span class="o">.</span><span class="n">get_atoms</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;id=</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">add_additional_information</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+      <span class="k">if</span> <span class="s1">&#39;tag&#39;</span> <span class="ow">in</span> <span class="n">atoms</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s1">&#39;key_value_pairs&#39;</span><span class="p">]:</span>
+        <span class="n">atoms</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s1">&#39;key_value_pairs&#39;</span><span class="p">][</span><span class="s1">&#39;tag&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">atoms</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s1">&#39;key_value_pairs&#39;</span><span class="p">][</span><span class="s1">&#39;tag&#39;</span><span class="p">])</span>
+
+      <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">atoms</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s2">&quot;key_value_pairs&quot;</span><span class="p">]:</span>
+        <span class="k">if</span> <span class="n">atoms</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s2">&quot;key_value_pairs&quot;</span><span class="p">][</span><span class="n">key</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;True&quot;</span><span class="p">:</span>
+            <span class="n">atoms</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s2">&quot;key_value_pairs&quot;</span><span class="p">][</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
+        <span class="k">elif</span> <span class="n">atoms</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s2">&quot;key_value_pairs&quot;</span><span class="p">][</span><span class="n">key</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;False&quot;</span><span class="p">:</span>
+            <span class="n">atoms</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s2">&quot;key_value_pairs&quot;</span><span class="p">][</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
+
+      <span class="n">subset_db</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">atoms</span><span class="p">,</span> <span class="o">**</span><span class="n">atoms</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s1">&#39;key_value_pairs&#39;</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">!</span><span class="w"> </span>ase<span class="w"> </span>db<span class="w"> </span>data.db
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>id|age|user  |formula|calculator|  energy|natoms| fmax|pbc|  volume|charge|    mass
+ 1| 1s|runner|Au43   |unknown   |-112.320|    43|0.342|TTT|6014.312| 0.000|8469.562
+ 2| 0s|runner|Au39   |unknown   |-100.465|    39|0.122|TTT|5893.874| 0.000|7681.696
+ 3| 0s|runner|Au4    |unknown   | -11.598|     4|0.112|TTT| 156.940| 0.000| 787.866
+ 4| 0s|runner|Au19   |unknown   | -46.176|    19|0.131|TTT|4101.856| 0.000|3742.365
+ 5| 0s|runner|Au39   |unknown   | -95.532|    39|0.907|TTT|5893.874| 0.000|7681.696
+ 6| 0s|runner|Au16   |unknown   | -37.448|    16|0.122|TTT|3923.762| 0.000|3151.465
+ 7| 0s|runner|Au11   |unknown   | -34.898|    11|0.021|TTT| 211.976| 0.000|2166.632
+ 8| 0s|runner|Au12   |unknown   | -27.060|    12|0.131|TTT|3571.095| 0.000|2363.599
+ 9| 0s|runner|Au12   |unknown   | -28.072|    12|0.083|TTT|5639.752| 0.000|2363.599
+10| 0s|runner|Au43   |unknown   |-106.807|    43|1.011|TTT|6014.312| 0.000|8469.562
+11| 0s|runner|Au26   |unknown   | -83.110|    26|0.568|TTT| 476.093| 0.000|5121.131
+12| 0s|runner|Au47   |unknown   |-121.143|    47|0.771|TTT|6374.410| 0.000|9257.429
+13| 0s|runner|Au22   |unknown   | -54.400|    22|0.030|TTT|4335.494| 0.000|4333.265
+14| 0s|runner|Au19   |unknown   | -45.505|    19|0.321|TTT|4101.856| 0.000|3742.365
+15| 0s|runner|Au32   |unknown   | -82.019|    32|0.381|TTT|5385.186| 0.000|6302.930
+16| 0s|runner|Au4    |unknown   | -11.727|     4|0.142|TTT| 156.940| 0.000| 787.866
+17| 0s|runner|Au29   |unknown   | -72.840|    29|0.329|TTT|5184.740| 0.000|5712.031
+18| 0s|runner|Au33   |unknown   | -85.695|    33|0.218|TTT|5480.808| 0.000|6499.897
+19| 0s|runner|Au38   |unknown   |-100.149|    38|0.338|TTT|5846.048| 0.000|7484.730
+20| 0s|runner|Au15   |unknown   | -35.021|    15|0.089|TTT|3809.068| 0.000|2954.499
+Rows: 50 (showing first 20)
+Keys: NEB, bulk, calc_time, cluster, concentration, config, converged, diffusion, ediff, ... (27 more)
+</pre></div>
+</div>
+</div>
+</div>
+<p>You have to choose a checkpoint to start with. The newer checkpoints may require too much memory for this environment.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">available_pretrained_models</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">available_pretrained_models</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;CGCNN-S2EF-OC20-200k&#39;, &#39;CGCNN-S2EF-OC20-2M&#39;, &#39;CGCNN-S2EF-OC20-20M&#39;, &#39;CGCNN-S2EF-OC20-All&#39;, &#39;DimeNet-S2EF-OC20-200k&#39;, &#39;DimeNet-S2EF-OC20-2M&#39;, &#39;SchNet-S2EF-OC20-200k&#39;, &#39;SchNet-S2EF-OC20-2M&#39;, &#39;SchNet-S2EF-OC20-20M&#39;, &#39;SchNet-S2EF-OC20-All&#39;, &#39;DimeNet++-S2EF-OC20-200k&#39;, &#39;DimeNet++-S2EF-OC20-2M&#39;, &#39;DimeNet++-S2EF-OC20-20M&#39;, &#39;DimeNet++-S2EF-OC20-All&#39;, &#39;SpinConv-S2EF-OC20-2M&#39;, &#39;SpinConv-S2EF-OC20-All&#39;, &#39;GemNet-dT-S2EF-OC20-2M&#39;, &#39;GemNet-dT-S2EF-OC20-All&#39;, &#39;PaiNN-S2EF-OC20-All&#39;, &#39;GemNet-OC-S2EF-OC20-2M&#39;, &#39;GemNet-OC-S2EF-OC20-All&#39;, &#39;GemNet-OC-S2EF-OC20-All+MD&#39;, &#39;GemNet-OC-Large-S2EF-OC20-All+MD&#39;, &#39;SCN-S2EF-OC20-2M&#39;, &#39;SCN-t4-b2-S2EF-OC20-2M&#39;, &#39;SCN-S2EF-OC20-All+MD&#39;, &#39;eSCN-L4-M2-Lay12-S2EF-OC20-2M&#39;, &#39;eSCN-L6-M2-Lay12-S2EF-OC20-2M&#39;, &#39;eSCN-L6-M2-Lay12-S2EF-OC20-All+MD&#39;, &#39;eSCN-L6-M3-Lay20-S2EF-OC20-All+MD&#39;, &#39;EquiformerV2-83M-S2EF-OC20-2M&#39;, &#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;, &#39;EquiformerV2-153M-S2EF-OC20-All+MD&#39;, &#39;SchNet-S2EF-force-only-OC20-All&#39;, &#39;DimeNet++-force-only-OC20-All&#39;, &#39;DimeNet++-Large-S2EF-force-only-OC20-All&#39;, &#39;DimeNet++-S2EF-force-only-OC20-20M+Rattled&#39;, &#39;DimeNet++-S2EF-force-only-OC20-20M+MD&#39;, &#39;CGCNN-IS2RE-OC20-10k&#39;, &#39;CGCNN-IS2RE-OC20-100k&#39;, &#39;CGCNN-IS2RE-OC20-All&#39;, &#39;DimeNet-IS2RE-OC20-10k&#39;, &#39;DimeNet-IS2RE-OC20-100k&#39;, &#39;DimeNet-IS2RE-OC20-all&#39;, &#39;SchNet-IS2RE-OC20-10k&#39;, &#39;SchNet-IS2RE-OC20-100k&#39;, &#39;SchNet-IS2RE-OC20-All&#39;, &#39;DimeNet++-IS2RE-OC20-10k&#39;, &#39;DimeNet++-IS2RE-OC20-100k&#39;, &#39;DimeNet++-IS2RE-OC20-All&#39;, &#39;PaiNN-IS2RE-OC20-All&#39;, &#39;GemNet-dT-S2EFS-OC22&#39;, &#39;GemNet-OC-S2EFS-OC22&#39;, &#39;GemNet-OC-S2EFS-OC20+OC22&#39;, &#39;GemNet-OC-S2EFS-nsn-OC20+OC22&#39;, &#39;GemNet-OC-S2EFS-OC20-&gt;OC22&#39;, &#39;EquiformerV2-lE4-lF100-S2EFS-OC22&#39;, &#39;SchNet-S2EF-ODAC&#39;, &#39;DimeNet++-S2EF-ODAC&#39;, &#39;PaiNN-S2EF-ODAC&#39;, &#39;GemNet-OC-S2EF-ODAC&#39;, &#39;eSCN-S2EF-ODAC&#39;, &#39;EquiformerV2-S2EF-ODAC&#39;, &#39;EquiformerV2-Large-S2EF-ODAC&#39;, &#39;Gemnet-OC-IS2RE-ODAC&#39;, &#39;eSCN-IS2RE-ODAC&#39;, &#39;EquiformerV2-IS2RE-ODAC&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-dT-S2EFS-OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+<span class="n">checkpoint_path</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/fairchem_checkpoints/gndt_oc22_all_s2ef.pt&#39;
+</pre></div>
+</div>
+</div>
+</div>
+<p>We have to update our configuration yml file with the test dataset.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.tutorial_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">generate_yml_config</span>
+<span class="n">yml</span> <span class="o">=</span> <span class="n">generate_yml_config</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="s1">&#39;config.yml&#39;</span><span class="p">,</span>
+                   <span class="n">delete</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;cmd&#39;</span><span class="p">,</span> <span class="s1">&#39;logger&#39;</span><span class="p">,</span> <span class="s1">&#39;task&#39;</span><span class="p">,</span> <span class="s1">&#39;model_attributes&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset&#39;</span><span class="p">,</span> <span class="s1">&#39;slurm&#39;</span><span class="p">],</span>
+                   <span class="n">update</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;amp&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+                           <span class="s1">&#39;gpus&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+                           <span class="s1">&#39;task.prediction_dtype&#39;</span><span class="p">:</span> <span class="s1">&#39;float32&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;logger&#39;</span><span class="p">:</span><span class="s1">&#39;tensorboard&#39;</span><span class="p">,</span> <span class="c1"># don&#39;t use wandb!</span>
+                            <span class="c1"># Test data - prediction only so no regression</span>
+                           <span class="s1">&#39;dataset.test.src&#39;</span><span class="p">:</span> <span class="s1">&#39;data.db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.format&#39;</span><span class="p">:</span> <span class="s1">&#39;ase_db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.a2g_args.r_energy&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.a2g_args.r_forces&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.select_args.selection&#39;</span><span class="p">:</span> <span class="s1">&#39;natoms&gt;5,xc=PBE&#39;</span><span class="p">,</span>
+                          <span class="p">})</span>
+
+<span class="n">yml</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: oc22_lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  oc20_ref: /checkpoint/janlan/ocp/other_data/final_ref_energies_02_07_2021.pkl
+  raw_energy_target: true
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  cbf:
+    name: spherical_harmonics
+  cutoff: 6.0
+  direct_forces: true
+  emb_size_atom: 512
+  emb_size_bil_trip: 64
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_rbf: 16
+  emb_size_trip: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  max_neighbors: 50
+  name: gemnet_t
+  num_after_skip: 2
+  num_atom: 3
+  num_before_skip: 1
+  num_blocks: 3
+  num_concat: 1
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  rbf:
+    name: gaussian
+  regress_forces: true
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  force_coefficient: 1
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_gamma: 0.8
+  lr_initial: 0.0005
+  lr_milestones:
+  - 64000
+  - 96000
+  - 128000
+  - 160000
+  - 192000
+  max_epochs: 80
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  warmup_steps: -1
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/57864354
+  gpus_per_node: 8
+  job_id: &#39;57864354&#39;
+  job_name: gndt_oc22_s2ef
+  mem: 480GB
+  nodes: 2
+  ntasks_per_node: 8
+  partition: ocp
+  time: 4320
+task:
+  dataset: oc22_lmdb
+  eval_on_free_atoms: true
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_t
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetT with 31671825 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Scale factor comment not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>PosixPath(&#39;/home/runner/work/fairchem/fairchem/docs/core/config.yml&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<p>It is a good idea to redirect the output to a file. If the output gets too large here, the notebook may fail to save. Normally I would use a redirect like <code class="docutils literal notranslate"><span class="pre">2&amp;&gt;1</span></code>, but this does not work with the main.py method. An alternative here is to open a terminal and run it there. If you have a gpu or multiple gpus, you should use the flag –num-gpus=<number of gpus> and remove the –cpu flag.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%capture</span> inference
+<span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.tutorial_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">fairchem_main</span>
+
+<span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+<span class="err">!</span> <span class="n">python</span> <span class="p">{</span><span class="n">fairchem_main</span><span class="p">()}</span> <span class="o">--</span><span class="n">mode</span> <span class="n">predict</span> <span class="o">--</span><span class="n">config</span><span class="o">-</span><span class="n">yml</span> <span class="p">{</span><span class="n">yml</span><span class="p">}</span> <span class="o">--</span><span class="n">checkpoint</span> <span class="p">{</span><span class="n">checkpoint_path</span><span class="p">}</span> <span class="o">--</span><span class="n">cpu</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Elapsed time = </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;mass-inference.txt&#39;</span><span class="p">,</span> <span class="s1">&#39;wb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">inference</span><span class="o">.</span><span class="n">stdout</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="s1">&#39;utf-8&#39;</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">!</span><span class="w"> </span>grep<span class="w"> </span><span class="s2">&quot;Total time taken:&quot;</span><span class="w"> </span><span class="s1">&#39;mass-inference.txt&#39;</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:37:33 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1112: (INFO): Total time taken: 7.040971517562866
+</pre></div>
+</div>
+</div>
+</div>
+<p>The mass inference approach takes 1-2 minutes to run. See the output <a class="reference download internal" download="" href="../_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt"><span class="xref download myst">here</span></a>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">results</span> <span class="o">=</span> <span class="o">!</span><span class="w"> </span>grep<span class="w"> </span><span class="s2">&quot;  results_dir:&quot;</span><span class="w"> </span>mass-inference.txt
+<span class="n">d</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;:&#39;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">d</span><span class="si">}</span><span class="s1">/ocp_predictions.npz&#39;</span><span class="p">,</span> <span class="n">allow_pickle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">results</span><span class="o">.</span><span class="n">files</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;energy&#39;, &#39;forces&#39;, &#39;chunk_idx&#39;, &#39;ids&#39;]
+</pre></div>
+</div>
+</div>
+</div>
+<p>It is not obvious, but the data from mass inference is not in the same order. We have to get an id from the mass inference, and then “resort” the results so they are in the same order.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">inds</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="nb">int</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">])</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">results</span><span class="p">[</span><span class="s1">&#39;ids&#39;</span><span class="p">]])</span>
+<span class="n">sind</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">inds</span><span class="p">)</span>
+<span class="n">inds</span><span class="p">[</span><span class="n">sind</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,
+       17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
+       34, 35, 36, 37])
+</pre></div>
+</div>
+</div>
+</div>
+<p>To compare this with the results, we need to get the energy data from the ase db.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.db</span><span class="w"> </span><span class="kn">import</span> <span class="n">connect</span>
+<span class="n">db</span> <span class="o">=</span> <span class="n">connect</span><span class="p">(</span><span class="s1">&#39;data.db&#39;</span><span class="p">)</span>
+
+<span class="n">energies</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">row</span><span class="o">.</span><span class="n">energy</span> <span class="k">for</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">db</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="s1">&#39;natoms&gt;5,xc=PBE&#39;</span><span class="p">)])</span>
+<span class="n">natoms</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">row</span><span class="o">.</span><span class="n">natoms</span> <span class="k">for</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">db</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="s1">&#39;natoms&gt;5,xc=PBE&#39;</span><span class="p">)])</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Now, we can see the predictions. They are only ok here; that is not surprising, the data set has lots of Au configurations that have never been seen by this model. Fine-tuning would certainly help improve this.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">energies</span> <span class="o">/</span> <span class="n">natoms</span><span class="p">,</span> <span class="n">results</span><span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">][</span><span class="n">sind</span><span class="p">]</span> <span class="o">/</span> <span class="n">natoms</span><span class="p">,</span> <span class="s1">&#39;b.&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;DFT&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;OCP&#39;</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/ef8e24c4f3eaf863cec1741f4f1c98ec2550eed91245c96525f7142cdc92a344.png" src="../_images/ef8e24c4f3eaf863cec1741f4f1c98ec2550eed91245c96525f7142cdc92a344.png" />
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="the-ase-calculator-way">
+<h1>The ASE calculator way<a class="headerlink" href="#the-ase-calculator-way" title="Link to this heading">#</a></h1>
+<p>We include this here just to show that:</p>
+<ol class="arabic simple">
+<li><p>We get the same results</p></li>
+<li><p>That this is much slower.</p></li>
+</ol>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: oc22_lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  oc20_ref: /checkpoint/janlan/ocp/other_data/final_ref_energies_02_07_2021.pkl
+  raw_energy_target: true
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  cbf:
+    name: spherical_harmonics
+  cutoff: 6.0
+  direct_forces: true
+  emb_size_atom: 512
+  emb_size_bil_trip: 64
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_rbf: 16
+  emb_size_trip: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  max_neighbors: 50
+  name: gemnet_t
+  num_after_skip: 2
+  num_atom: 3
+  num_before_skip: 1
+  num_blocks: 3
+  num_concat: 1
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  rbf:
+    name: gaussian
+  regress_forces: true
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  force_coefficient: 1
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_gamma: 0.8
+  lr_initial: 0.0005
+  lr_milestones:
+  - 64000
+  - 96000
+  - 128000
+  - 160000
+  - 192000
+  max_epochs: 80
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  warmup_steps: -1
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/57864354
+  gpus_per_node: 8
+  job_id: &#39;57864354&#39;
+  job_name: gndt_oc22_s2ef
+  mem: 480GB
+  nodes: 2
+  ntasks_per_node: 8
+  partition: ocp
+  time: 4320
+task:
+  dataset: oc22_lmdb
+  eval_on_free_atoms: true
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_t
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetT with 31671825 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Scale factor comment not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">tqdm</span><span class="w"> </span><span class="kn">import</span> <span class="n">tqdm</span>
+<span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+<span class="n">OCP</span><span class="p">,</span> <span class="n">DFT</span> <span class="o">=</span> <span class="p">[],</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">db</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="s1">&#39;natoms&gt;5,xc=PBE&#39;</span><span class="p">)):</span>
+    <span class="n">atoms</span> <span class="o">=</span> <span class="n">row</span><span class="o">.</span><span class="n">toatoms</span><span class="p">()</span>
+    <span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+    <span class="n">DFT</span> <span class="o">+=</span> <span class="p">[</span><span class="n">row</span><span class="o">.</span><span class="n">energy</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)]</span>
+    <span class="n">OCP</span> <span class="o">+=</span> <span class="p">[</span><span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)]</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Elapsed time </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">:</span><span class="s1">1.1</span><span class="si">}</span><span class="s1"> seconds&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0it [00:00, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3490/402181013.py:7: FutureWarning: Please use atoms.calc = calc
+  atoms.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1it [00:00,  2.55it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2it [00:00,  2.96it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>3it [00:00,  3.83it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>4it [00:01,  3.67it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>5it [00:01,  4.43it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>6it [00:01,  4.47it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>7it [00:01,  5.21it/s]
+</pre></div>
+</div>
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>15it [00:03,  4.24it/s]
+</pre></div>
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>16it [00:03,  3.90it/s]
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>17it [00:03,  4.49it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>18it [00:04,  4.28it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>19it [00:04,  3.97it/s]
+</pre></div>
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>20it [00:04,  4.47it/s]
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+</pre></div>
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>24it [00:05,  5.67it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>25it [00:05,  4.63it/s]
+</pre></div>
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>26it [00:05,  5.39it/s]
+</pre></div>
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>27it [00:05,  5.68it/s]
+</pre></div>
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+</pre></div>
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+</pre></div>
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+</pre></div>
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+</pre></div>
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+</pre></div>
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>34it [00:07,  5.14it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>35it [00:07,  5.34it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>36it [00:08,  3.16it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>37it [00:08,  2.32it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>38it [00:09,  2.55it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>38it [00:09,  4.21it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 9e+00 seconds
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>This takes at least twice as long as the mass-inference approach above. It is conceptually simpler though, and does not require resorting.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">DFT</span><span class="p">,</span> <span class="n">OCP</span><span class="p">,</span> <span class="s1">&#39;b.&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;DFT (eV/atom)&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;OCP (eV/atom)&#39;</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/b87895d2658c99e6fc52fd03d20ba8a6f043d1090c9b609b8a6c1bee397aa469.png" src="../_images/b87895d2658c99e6fc52fd03d20ba8a6f043d1090c9b609b8a6c1bee397aa469.png" />
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="comparing-ase-calculator-and-main-py">
+<h1>Comparing ASE calculator and main.py<a class="headerlink" href="#comparing-ase-calculator-and-main-py" title="Link to this heading">#</a></h1>
+<p>The results should be the same.</p>
+<p>It is worth noting the default precision of predictions is float16 with main.py, but with the ASE calculator the default precision is float32. Supposedly you can specify <code class="docutils literal notranslate"><span class="pre">--task.prediction_dtype=float32</span></code> at the command line to or specify it in the config.yml like we do above, but as of the tutorial this does not resolve the issue.</p>
+<p>As noted above (see also <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/issues/542">Issue 542</a>), the ASE calculator and main.py use different precisions by default, which can lead to small differences.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">results</span><span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">][</span><span class="n">sind</span><span class="p">]</span> <span class="o">-</span> <span class="n">OCP</span> <span class="o">*</span> <span class="n">natoms</span><span class="p">))</span>  <span class="c1"># MAE</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>51.59992049473475
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">results</span><span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">][</span><span class="n">sind</span><span class="p">]</span> <span class="o">-</span> <span class="n">OCP</span> <span class="o">*</span> <span class="n">natoms</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">results</span><span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">][</span><span class="n">sind</span><span class="p">]</span> <span class="o">-</span> <span class="n">OCP</span> <span class="o">*</span> <span class="n">natoms</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(-225.3068141937256, 225.30681228637695)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">results</span><span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">][</span><span class="n">sind</span><span class="p">]</span> <span class="o">-</span> <span class="n">OCP</span> <span class="o">*</span> <span class="n">natoms</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">20</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/d3162fb587343b55cb4b62d20db7f715ca0c143e4da52710147a2341ed637f64.png" src="../_images/d3162fb587343b55cb4b62d20db7f715ca0c143e4da52710147a2341ed637f64.png" />
+</div>
+</div>
+<p>Here we see many of the differences are very small. 0.0078125 = 1 / 128, and these errors strongly suggest some kind of mixed precision is responsible for these differences. It is an open issue to remove them and identify where the cause is.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="p">(</span><span class="n">results</span><span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">][</span><span class="n">sind</span><span class="p">]</span> <span class="o">-</span> <span class="n">OCP</span> <span class="o">*</span> <span class="n">natoms</span><span class="p">)[</span><span class="mi">0</span><span class="p">:</span><span class="mi">400</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([[ 0.00000000e+00, -1.21671219e+01, -6.97637062e+01, ...,
+         1.10070107e+02,  1.21540062e+02, -1.47758255e+01],
+       [ 1.21671219e+01,  0.00000000e+00, -5.75965843e+01, ...,
+         1.22237228e+02,  1.33707184e+02, -2.60870361e+00],
+       [ 6.97637100e+01,  5.75965881e+01,  3.81469727e-06, ...,
+         1.79833817e+02,  1.91303772e+02,  5.49878845e+01],
+       ...,
+       [-1.10070107e+02, -1.22237228e+02, -1.79833813e+02, ...,
+         0.00000000e+00,  1.14699554e+01, -1.24845932e+02],
+       [-1.21540062e+02, -1.33707184e+02, -1.91303768e+02, ...,
+        -1.14699554e+01,  0.00000000e+00, -1.36315887e+02],
+       [ 1.47758255e+01,  2.60870361e+00, -5.49878807e+01, ...,
+         1.24845932e+02,  1.36315887e+02,  0.00000000e+00]])
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+
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+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Fast batched inference</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#the-ase-calculator-way">The ASE calculator way</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#comparing-ase-calculator-and-main-py">Comparing ASE calculator and main.py</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/context/index.html">ocpapi.workflows.context</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/filter/index.html">ocpapi.workflows.filter</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/log/index.html">ocpapi.workflows.log</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/retry/index.html">ocpapi.workflows.retry</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../autoapi/cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../autoapi/cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
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+</ul>
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#environment">Environment</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#conda">Conda</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pypi">PyPi</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#standard-installation-of-fairchem-core">Standard installation of fairchem-core</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#additional-packages">Additional packages</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#development-installation">Development installation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#cloning-and-installing-the-git-repository-on-windows">Cloning and installing the git repository on windows</a></li>
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+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="installation">
+<h1>Installation<a class="headerlink" href="#installation" title="Link to this heading">#</a></h1>
+<p>To install <code class="docutils literal notranslate"><span class="pre">fairchem-core</span></code> you will need to setup the <code class="docutils literal notranslate"><span class="pre">fairchem-core</span></code> environment (using <a class="reference internal" href="#Conda"><span class="xref myst">conda</span></a> or <a class="reference internal" href="#PyPi"><span class="xref myst">pip</span></a>)
+and then either install <code class="docutils literal notranslate"><span class="pre">fairchem-core</span></code> package <a class="reference internal" href="#Install-fairchem-core"><span class="xref myst">directly</span></a> or install a <a class="reference internal" href="#Development-install"><span class="xref myst">development version</span></a> from our git repository.</p>
+<section id="environment">
+<h2>Environment<a class="headerlink" href="#environment" title="Link to this heading">#</a></h2>
+<p>You can install the environment using either conda or pip</p>
+<section id="conda">
+<h3>Conda<a class="headerlink" href="#conda" title="Link to this heading">#</a></h3>
+<p>We do not have official conda recipes (yet!); in the meantime you can use the
+following environment yaml files to setup on CPU or GPU. If conda is too slow for you, please consider using <a class="reference external" href="https://mamba.readthedocs.io/en/latest/user_guide/mamba.html">mamba</a></p>
+<ol class="arabic">
+<li><p>Create an environment to install <em>fairchem</em></p>
+<p>a. <strong>GPU</strong></p>
+<p>The default environment uses cuda 11.8, if you need a different version you will have to edit <em>pytorch-cuda</em> version
+accordingly.</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>wget<span class="w"> </span>https://raw.githubusercontent.com/FAIR-Chem/fairchem/main/packages/env.gpu.yml
+conda<span class="w"> </span>env<span class="w"> </span>create<span class="w"> </span>-f<span class="w"> </span>env.gpu.yml
+</pre></div>
+</div>
+<p>b. <strong>CPU</strong></p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>wget<span class="w"> </span>https://raw.githubusercontent.com/FAIR-Chem/fairchem/main/packages/env.cpu.yml
+conda<span class="w"> </span>env<span class="w"> </span>create<span class="w"> </span>-f<span class="w"> </span>env.cpu.yml
+</pre></div>
+</div>
+</li>
+<li><p>Activate the environment</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>activate<span class="w"> </span>fair-chem
+</pre></div>
+</div>
+</li>
+</ol>
+</section>
+<section id="pypi">
+<h3>PyPi<a class="headerlink" href="#pypi" title="Link to this heading">#</a></h3>
+<p>You can also install <code class="docutils literal notranslate"><span class="pre">pytorch</span></code> and <code class="docutils literal notranslate"><span class="pre">torch_geometric</span></code> dependencies from PyPI to select specific CPU or CUDA versions.</p>
+<ol class="arabic simple">
+<li><p>Install <code class="docutils literal notranslate"><span class="pre">pytorch</span></code> by selecting your installer, OS and CPU or CUDA version following the official
+<a class="reference external" href="https://pytorch.org/get-started/locally/">Pytorch docs</a></p></li>
+<li><p>Install <code class="docutils literal notranslate"><span class="pre">torch_geometric</span></code> and the <code class="docutils literal notranslate"><span class="pre">torch_scatter</span></code>, <code class="docutils literal notranslate"><span class="pre">torch_sparse</span></code>, and <code class="docutils literal notranslate"><span class="pre">torch_cluster</span></code> optional dependencies
+similarly by selecting the appropriate versions in the official
+<a class="reference external" href="https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html">PyG docs</a></p></li>
+</ol>
+</section>
+</section>
+<section id="standard-installation-of-fairchem-core">
+<h2>Standard installation of fairchem-core<a class="headerlink" href="#standard-installation-of-fairchem-core" title="Link to this heading">#</a></h2>
+<p>Install <code class="docutils literal notranslate"><span class="pre">fairchem-core</span></code> from PyPi</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>fairchem-core
+</pre></div>
+</div>
+<section id="additional-packages">
+<h3>Additional packages<a class="headerlink" href="#additional-packages" title="Link to this heading">#</a></h3>
+<p><code class="docutils literal notranslate"><span class="pre">fairchem</span></code> is a namespace package, meaning all packages are installed seperately. If you need
+to install other packages you can do so by:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>fairchem-<span class="o">{</span>package-to-install<span class="o">}</span>
+</pre></div>
+</div>
+<p>Available <code class="docutils literal notranslate"><span class="pre">fairchem</span></code> packages are <code class="docutils literal notranslate"><span class="pre">fairchem-core</span></code>,<code class="docutils literal notranslate"><span class="pre">fairchem-data-oc</span></code>,<code class="docutils literal notranslate"><span class="pre">fairchem-demo-ocpapi</span></code>,<code class="docutils literal notranslate"><span class="pre">fairchem-applications-cattsunami</span></code></p>
+</section>
+</section>
+<section id="development-installation">
+<h2>Development installation<a class="headerlink" href="#development-installation" title="Link to this heading">#</a></h2>
+<p>If you plan to make contributions you will need to fork and clone (for windows user please see next section) the repo,
+set up the environment, and install fairchem-core from source in editable mode with dev dependencies,</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/FAIR-Chem/fairchem.git
+<span class="nb">cd</span><span class="w"> </span>fairchem
+pip<span class="w"> </span>install<span class="w"> </span>-e<span class="w"> </span>packages/fairchem-core<span class="o">[</span>dev<span class="o">]</span>
+pytest<span class="w"> </span>tests/core
+</pre></div>
+</div>
+<p>And similarly for any other namespace package:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>-e<span class="w"> </span>packages/fairchem-<span class="o">{</span>package-to-install<span class="o">}</span>
+</pre></div>
+</div>
+<section id="cloning-and-installing-the-git-repository-on-windows">
+<h3>Cloning and installing the git repository on windows<a class="headerlink" href="#cloning-and-installing-the-git-repository-on-windows" title="Link to this heading">#</a></h3>
+<p>Our build system requires the use of symlinks which are not available by default on windows. To properly build fairchem packages you must enable symlinks and clone the repository with them enabled.</p>
+<ol class="arabic simple">
+<li><p>When installing git on your machine make sure “enable symbolic links” is checked  (<a class="reference external" href="https://git-scm.com/download/win">download git installer</a>) (<a class="reference external" href="https://stackoverflow.com/a/65563980">see here</a> for detailed instructions )</p></li>
+<li><p>Enable developer mode (<a class="reference external" href="https://learn.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development">instructions</a>) or run the following commands as administrator</p></li>
+<li><p>Run the git clone command with symlinks enabled</p></li>
+</ol>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="o">-</span><span class="n">c</span> <span class="n">core</span><span class="o">.</span><span class="n">symlinks</span><span class="o">=</span><span class="n">true</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">FAIR</span><span class="o">-</span><span class="n">Chem</span><span class="o">/</span><span class="n">fairchem</span><span class="o">.</span><span class="n">git</span>
+</pre></div>
+</div>
+</section>
+</section>
+</section>
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+<p>New to chemistry but excited to know how ML can help? <a class="reference external" href="http://larryzitnick.org/">Larry Zitnick</a> has made a few intro
+videos for audiences without a computational chemistry background!</p>
+<iframe width="560" height="315" src="https://www.youtube.com/embed/videoseries?si=IDjebRSRSThxX7Ar&amp;list=PLU7acyFOb6DXgCTAi2TwKXaFD_i3C6hSL" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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diff --git a/core/lmdb_dataset_creation.html b/core/lmdb_dataset_creation.html
new file mode 100644
index 0000000000..3e2cfc4893
--- /dev/null
+++ b/core/lmdb_dataset_creation.html
@@ -0,0 +1,1169 @@
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+  <i class="theme-switch fa-solid fa-sun                fa-lg" data-mode="light" title="Light"></i>
+  <i class="theme-switch fa-solid fa-moon               fa-lg" data-mode="dark"  title="Dark"></i>
+  <i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"  title="System Settings"></i>
+</button>
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+<button class="btn btn-sm pst-navbar-icon search-button search-button__button pst-js-only" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+      
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+</div>
+</div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Making LMDB Datasets (original format, deprecated for ASE LMDBs)</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#generate-toy-dataset-relaxation-of-co-on-cu">Generate toy dataset: Relaxation of CO on Cu</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-energy-structure-is2re-is2rs-lmdbs">Initial Structure to Relaxed Energy/Structure (IS2RE/IS2RS) LMDBs</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#initialize-atomstograph-feature-extractor">Initialize AtomsToGraph feature extractor</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#initialize-lmdb-file">Initialize LMDB file</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#write-data-to-lmdb">Write data to LMDB</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-energy-and-forces-s2ef-lmdbs">Structure to Energy and Forces (S2EF) LMDBs</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#advanced-usage">Advanced usage</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#interacting-with-the-lmdbs">Interacting with the LMDBs</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="making-lmdb-datasets-original-format-deprecated-for-ase-lmdbs">
+<h1>Making LMDB Datasets (original format, deprecated for ASE LMDBs)<a class="headerlink" href="#making-lmdb-datasets-original-format-deprecated-for-ase-lmdbs" title="Link to this heading">#</a></h1>
+<p>Storing your data in an LMDB ensures very fast random read speeds for the fastest supported throughput. This was the
+recommended option for the majority of fairchem use cases, but has since been deprecated for <a class="reference internal" href="ase_dataset_creation.html"><span class="doc std std-doc">ASE LMDB files</span></a></p>
+<p>This notebook provides an overview of how to create LMDB datasets to be used with the FAIRChem repo. This tutorial is intended
+for those who wish to use FAIRChem to train on their own datasets. Those interested in just using FAIRChem data need not worry
+about these steps as they’ve been automated as part of this
+<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/scripts/download_data.py">download script</a>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.preprocessing</span><span class="w"> </span><span class="kn">import</span> <span class="n">AtomsToGraphs</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">LmdbDataset</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">ase.io</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">bulk</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc100</span><span class="p">,</span> <span class="n">add_adsorbate</span><span class="p">,</span> <span class="n">molecule</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.constraints</span><span class="w"> </span><span class="kn">import</span> <span class="n">FixAtoms</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.calculators.emt</span><span class="w"> </span><span class="kn">import</span> <span class="n">EMT</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">lmdb</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">pickle</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">tqdm</span><span class="w"> </span><span class="kn">import</span> <span class="n">tqdm</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+</pre></div>
+</div>
+</div>
+</div>
+<section id="generate-toy-dataset-relaxation-of-co-on-cu">
+<h2>Generate toy dataset: Relaxation of CO on Cu<a class="headerlink" href="#generate-toy-dataset-relaxation-of-co-on-cu" title="Link to this heading">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">adslab</span> <span class="o">=</span> <span class="n">fcc100</span><span class="p">(</span><span class="s2">&quot;Cu&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="n">ads</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s2">&quot;CO&quot;</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">ads</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">offset</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+<span class="n">cons</span> <span class="o">=</span> <span class="n">FixAtoms</span><span class="p">(</span><span class="n">indices</span><span class="o">=</span><span class="p">[</span><span class="n">atom</span><span class="o">.</span><span class="n">index</span> <span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">adslab</span> <span class="k">if</span> <span class="p">(</span><span class="n">atom</span><span class="o">.</span><span class="n">tag</span> <span class="o">==</span> <span class="mi">3</span><span class="p">)])</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_constraint</span><span class="p">(</span><span class="n">cons</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">center</span><span class="p">(</span><span class="n">vacuum</span><span class="o">=</span><span class="mf">13.0</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_pbc</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">EMT</span><span class="p">())</span>
+<span class="n">dyn</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="s2">&quot;CuCO_adslab.traj&quot;</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+<span class="n">dyn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3588/901556023.py:8: FutureWarning: Please use atoms.calc = calc
+  adslab.set_calculator(EMT())
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>False
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">raw_data</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">&quot;CuCO_adslab.traj&quot;</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+<span class="nb">len</span><span class="p">(</span><span class="n">raw_data</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1001
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="initial-structure-to-relaxed-energy-structure-is2re-is2rs-lmdbs">
+<h2>Initial Structure to Relaxed Energy/Structure (IS2RE/IS2RS) LMDBs<a class="headerlink" href="#initial-structure-to-relaxed-energy-structure-is2re-is2rs-lmdbs" title="Link to this heading">#</a></h2>
+<p>IS2RE/IS2RS LMDBs utilize the SinglePointLmdb dataset. This dataset expects the data to be contained in a SINGLE LMDB file.
+In addition to the attributes defined by AtomsToGraph, the following attributes must be added for the IS2RE/IS2RS tasks:</p>
+<ul class="simple">
+<li><p>pos_relaxed: Relaxed adslab positions</p></li>
+<li><p>sid: Unique system identifier, arbitrary</p></li>
+<li><p>y_init: Initial adslab energy, formerly Data.y</p></li>
+<li><p>y_relaxed: Relaxed adslab energy</p></li>
+<li><p>tags (optional): 0 - subsurface, 1 - surface, 2 - adsorbate</p></li>
+</ul>
+<p>As a demo, we will use the above generated data to create an IS2R* LMDB file.</p>
+<section id="initialize-atomstograph-feature-extractor">
+<h3>Initialize AtomsToGraph feature extractor<a class="headerlink" href="#initialize-atomstograph-feature-extractor" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">a2g</span> <span class="o">=</span> <span class="n">AtomsToGraphs</span><span class="p">(</span>
+    <span class="n">max_neigh</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span>
+    <span class="n">radius</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span>
+    <span class="n">r_energy</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>    <span class="c1"># False for test data</span>
+    <span class="n">r_forces</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>    <span class="c1"># False for test data</span>
+    <span class="n">r_distances</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">r_fixed</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="initialize-lmdb-file">
+<h3>Initialize LMDB file<a class="headerlink" href="#initialize-lmdb-file" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">db</span> <span class="o">=</span> <span class="n">lmdb</span><span class="o">.</span><span class="n">open</span><span class="p">(</span>
+    <span class="s2">&quot;sample_CuCO.lmdb&quot;</span><span class="p">,</span>
+    <span class="n">map_size</span><span class="o">=</span><span class="mi">1099511627776</span> <span class="o">*</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="n">subdir</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">meminit</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">map_async</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="write-data-to-lmdb">
+<h3>Write data to LMDB<a class="headerlink" href="#write-data-to-lmdb" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span><span class="w"> </span><span class="nf">read_trajectory_extract_features</span><span class="p">(</span><span class="n">a2g</span><span class="p">,</span> <span class="n">traj_path</span><span class="p">):</span>
+    <span class="n">traj</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">traj_path</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+    <span class="n">tags</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">get_tags</span><span class="p">()</span>
+    <span class="n">images</span> <span class="o">=</span> <span class="p">[</span><span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span>
+    <span class="n">data_objects</span> <span class="o">=</span> <span class="n">a2g</span><span class="o">.</span><span class="n">convert_all</span><span class="p">(</span><span class="n">images</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">data_objects</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">tags</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+    <span class="n">data_objects</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">tags</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">data_objects</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">system_paths</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;CuCO_adslab.traj&quot;</span><span class="p">]</span>
+<span class="n">idx</span> <span class="o">=</span> <span class="mi">0</span>
+
+<span class="k">for</span> <span class="n">system</span> <span class="ow">in</span> <span class="n">system_paths</span><span class="p">:</span>
+    <span class="c1"># Extract Data object</span>
+    <span class="n">data_objects</span> <span class="o">=</span> <span class="n">read_trajectory_extract_features</span><span class="p">(</span><span class="n">a2g</span><span class="p">,</span> <span class="n">system</span><span class="p">)</span>
+    <span class="n">initial_struc</span> <span class="o">=</span> <span class="n">data_objects</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="n">relaxed_struc</span> <span class="o">=</span> <span class="n">data_objects</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+    <span class="n">initial_struc</span><span class="o">.</span><span class="n">y_init</span> <span class="o">=</span> <span class="n">initial_struc</span><span class="o">.</span><span class="n">y</span> <span class="c1"># subtract off reference energy, if applicable</span>
+    <span class="k">del</span> <span class="n">initial_struc</span><span class="o">.</span><span class="n">y</span>
+    <span class="n">initial_struc</span><span class="o">.</span><span class="n">y_relaxed</span> <span class="o">=</span> <span class="n">relaxed_struc</span><span class="o">.</span><span class="n">y</span> <span class="c1"># subtract off reference energy, if applicable</span>
+    <span class="n">initial_struc</span><span class="o">.</span><span class="n">pos_relaxed</span> <span class="o">=</span> <span class="n">relaxed_struc</span><span class="o">.</span><span class="n">pos</span>
+
+    <span class="c1"># Filter data if necessary</span>
+    <span class="c1"># FAIRChem filters adsorption energies &gt; |10| eV</span>
+
+    <span class="n">initial_struc</span><span class="o">.</span><span class="n">sid</span> <span class="o">=</span> <span class="n">idx</span>  <span class="c1"># arbitrary unique identifier</span>
+
+    <span class="c1"># no neighbor edge case check</span>
+    <span class="k">if</span> <span class="n">initial_struc</span><span class="o">.</span><span class="n">edge_index</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;no neighbors&quot;</span><span class="p">,</span> <span class="n">traj_path</span><span class="p">)</span>
+        <span class="k">continue</span>
+
+    <span class="c1"># Write to LMDB</span>
+    <span class="n">txn</span> <span class="o">=</span> <span class="n">db</span><span class="o">.</span><span class="n">begin</span><span class="p">(</span><span class="n">write</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">txn</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="s2">&quot;ascii&quot;</span><span class="p">),</span> <span class="n">pickle</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">initial_struc</span><span class="p">,</span> <span class="n">protocol</span><span class="o">=-</span><span class="mi">1</span><span class="p">))</span>
+    <span class="n">txn</span><span class="o">.</span><span class="n">commit</span><span class="p">()</span>
+    <span class="n">db</span><span class="o">.</span><span class="n">sync</span><span class="p">()</span>
+    <span class="n">idx</span> <span class="o">+=</span> <span class="mi">1</span>
+
+<span class="n">db</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">dataset</span> <span class="o">=</span> <span class="n">LmdbDataset</span><span class="p">({</span><span class="s2">&quot;src&quot;</span><span class="p">:</span> <span class="s2">&quot;sample_CuCO.lmdb&quot;</span><span class="p">})</span>
+<span class="nb">len</span><span class="p">(</span><span class="n">dataset</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">dataset</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Data(pos=[14, 3], cell=[1, 3, 3], atomic_numbers=[14], natoms=14, tags=[14], edge_index=[2, 635], cell_offsets=[635, 3], edge_distance_vec=[635, 3], energy=3.9893144106683787, forces=[14, 3], fixed=[14], pos_relaxed=[14, 3], sid=0)
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="structure-to-energy-and-forces-s2ef-lmdbs">
+<h2>Structure to Energy and Forces (S2EF) LMDBs<a class="headerlink" href="#structure-to-energy-and-forces-s2ef-lmdbs" title="Link to this heading">#</a></h2>
+<p>S2EF LMDBs utilize the TrajectoryLmdb dataset. This dataset expects a directory of LMDB files. In addition to the attributes defined by AtomsToGraph, the following attributes must be added for the S2EF task:</p>
+<ul class="simple">
+<li><p>tags (optional): 0 - subsurface, 1 - surface, 2 - adsorbate</p></li>
+<li><p>fid: Frame index along the trajcetory</p></li>
+<li><p>sid- sid: Unique system identifier, arbitrary</p></li>
+</ul>
+<p>Additionally, a “length” key must be added to each LMDB file.</p>
+<p>As a demo, we will use the above generated data to create an S2EF LMDB dataset</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s2">&quot;s2ef&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">db</span> <span class="o">=</span> <span class="n">lmdb</span><span class="o">.</span><span class="n">open</span><span class="p">(</span>
+    <span class="s2">&quot;s2ef/sample_CuCO.lmdb&quot;</span><span class="p">,</span>
+    <span class="n">map_size</span><span class="o">=</span><span class="mi">1099511627776</span> <span class="o">*</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="n">subdir</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">meminit</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">map_async</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">tags</span> <span class="o">=</span> <span class="n">raw_data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">get_tags</span><span class="p">()</span>
+<span class="n">data_objects</span> <span class="o">=</span> <span class="n">a2g</span><span class="o">.</span><span class="n">convert_all</span><span class="p">(</span><span class="n">raw_data</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+
+<span class="k">for</span> <span class="n">fid</span><span class="p">,</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="nb">enumerate</span><span class="p">(</span><span class="n">data_objects</span><span class="p">),</span> <span class="n">total</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">data_objects</span><span class="p">)):</span>
+    <span class="c1">#assign sid</span>
+    <span class="n">data</span><span class="o">.</span><span class="n">sid</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">([</span><span class="mi">0</span><span class="p">])</span>
+
+    <span class="c1">#assign fid</span>
+    <span class="n">data</span><span class="o">.</span><span class="n">fid</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">([</span><span class="n">fid</span><span class="p">])</span>
+
+    <span class="c1">#assign tags, if available</span>
+    <span class="n">data</span><span class="o">.</span><span class="n">tags</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+
+    <span class="c1"># Filter data if necessary</span>
+    <span class="c1"># FAIRChem filters adsorption energies &gt; |10| eV and forces &gt; |50| eV/A</span>
+
+    <span class="c1"># no neighbor edge case check</span>
+    <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">edge_index</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;no neighbors&quot;</span><span class="p">,</span> <span class="n">traj_path</span><span class="p">)</span>
+        <span class="k">continue</span>
+
+    <span class="n">txn</span> <span class="o">=</span> <span class="n">db</span><span class="o">.</span><span class="n">begin</span><span class="p">(</span><span class="n">write</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">txn</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">fid</span><span class="si">}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="s2">&quot;ascii&quot;</span><span class="p">),</span> <span class="n">pickle</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">protocol</span><span class="o">=-</span><span class="mi">1</span><span class="p">))</span>
+    <span class="n">txn</span><span class="o">.</span><span class="n">commit</span><span class="p">()</span>
+
+<span class="n">txn</span> <span class="o">=</span> <span class="n">db</span><span class="o">.</span><span class="n">begin</span><span class="p">(</span><span class="n">write</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">txn</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;length&quot;</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="s2">&quot;ascii&quot;</span><span class="p">),</span> <span class="n">pickle</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data_objects</span><span class="p">),</span> <span class="n">protocol</span><span class="o">=-</span><span class="mi">1</span><span class="p">))</span>
+<span class="n">txn</span><span class="o">.</span><span class="n">commit</span><span class="p">()</span>
+
+
+<span class="n">db</span><span class="o">.</span><span class="n">sync</span><span class="p">()</span>
+<span class="n">db</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1001 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  6%|▌         | 59/1001 [00:00&lt;00:01, 583.64it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 13%|█▎        | 128/1001 [00:00&lt;00:01, 642.54it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 20%|██        | 201/1001 [00:00&lt;00:01, 681.53it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 27%|██▋       | 270/1001 [00:00&lt;00:01, 674.35it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 34%|███▍      | 341/1001 [00:00&lt;00:00, 686.52it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 41%|████▏     | 413/1001 [00:00&lt;00:00, 697.36it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 48%|████▊     | 484/1001 [00:00&lt;00:00, 699.81it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 56%|█████▌    | 557/1001 [00:00&lt;00:00, 706.18it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 63%|██████▎   | 630/1001 [00:00&lt;00:00, 711.84it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 70%|███████   | 702/1001 [00:01&lt;00:00, 713.94it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 77%|███████▋  | 774/1001 [00:01&lt;00:00, 713.16it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 85%|████████▍ | 846/1001 [00:01&lt;00:00, 705.67it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 92%|█████████▏| 917/1001 [00:01&lt;00:00, 705.32it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 99%|█████████▉| 989/1001 [00:01&lt;00:00, 709.36it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1001/1001 [00:01&lt;00:00, 698.02it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">dataset</span> <span class="o">=</span> <span class="n">LmdbDataset</span><span class="p">({</span><span class="s2">&quot;src&quot;</span><span class="p">:</span> <span class="s2">&quot;s2ef/&quot;</span><span class="p">})</span>
+<span class="nb">len</span><span class="p">(</span><span class="n">dataset</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1001
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">dataset</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Data(pos=[14, 3], cell=[1, 3, 3], atomic_numbers=[14], natoms=14, tags=[14], edge_index=[2, 635], cell_offsets=[635, 3], edge_distance_vec=[635, 3], energy=3.9893144106683787, forces=[14, 3], fixed=[14], sid=[1], fid=[1], id=&#39;0_0&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<section id="advanced-usage">
+<h3>Advanced usage<a class="headerlink" href="#advanced-usage" title="Link to this heading">#</a></h3>
+<p>LmdbDataset supports multiple LMDB files because the need to highly parallelize the dataset construction process. With FAIRChem’s largest split containing 135M+ frames, the need to parallelize the LMDB generation process for these was necessary. If you find yourself needing to deal with very large datasets we recommend parallelizing this process.</p>
+</section>
+</section>
+<section id="interacting-with-the-lmdbs">
+<h2>Interacting with the LMDBs<a class="headerlink" href="#interacting-with-the-lmdbs" title="Link to this heading">#</a></h2>
+<p>Below we demonstrate how to interact with an LMDB to extract particular information.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">dataset</span> <span class="o">=</span> <span class="n">LmdbDataset</span><span class="p">({</span><span class="s2">&quot;src&quot;</span><span class="p">:</span> <span class="s2">&quot;s2ef/&quot;</span><span class="p">})</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dataset</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">data</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Data(pos=[14, 3], cell=[1, 3, 3], atomic_numbers=[14], natoms=14, tags=[14], edge_index=[2, 635], cell_offsets=[635, 3], edge_distance_vec=[635, 3], energy=3.9893144106683787, forces=[14, 3], fixed=[14], sid=[1], fid=[1], id=&#39;0_0&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">energies</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">([</span><span class="n">data</span><span class="o">.</span><span class="n">energy</span> <span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">])</span>
+<span class="n">energies</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tensor([3.9893, 3.9835, 3.9784,  ..., 3.9684, 3.9684, 3.9684])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">energies</span><span class="p">,</span> <span class="n">bins</span> <span class="o">=</span> <span class="mi">10</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">yscale</span><span class="p">(</span><span class="s2">&quot;log&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Energies&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/6f95cc0ac9c67801911d16f23205c073f357768dc76b9038bfbca035f7f09f6a.png" src="../_images/6f95cc0ac9c67801911d16f23205c073f357768dc76b9038bfbca035f7f09f6a.png" />
+</div>
+</div>
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./core"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/adsorbates/index.html">ocpapi.workflows.adsorbates</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/context/index.html">ocpapi.workflows.context</a></li>
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+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../autoapi/cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
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+<li class="toctree-l3"><a class="reference internal" href="../autoapi/cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
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+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
+<ul class="nav bd-sidenav">
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Pretrained FAIRChem models</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Pretrained FAIRChem models</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#open-catalyst-2020-oc20">Open Catalyst 2020 (OC20)</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-models-optimized-for-efwt">S2EF models: optimized for EFwT</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-models-optimized-for-force-only">S2EF models: optimized for force only</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#is2re-models">IS2RE models</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#open-catalyst-2022-oc22">Open Catalyst 2022 (OC22)</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-total-models">S2EF-Total models</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#open-direct-air-capture-2023-odac23">Open Direct Air Capture 2023 (ODAC23)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-models">S2EF models</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#is2re-direct-models">IS2RE Direct models</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#is2rs">IS2RS</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#open-materials-2024-omat24">Open Materials 2024 (OMat24)</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#omat-pretrained-models">OMat pretrained models</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mptrj-only-models">MPTrj only models</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#finetuned-omat-models">Finetuned OMat models</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="pretrained-fairchem-models">
+<h1>Pretrained FAIRChem models<a class="headerlink" href="#pretrained-fairchem-models" title="Link to this heading">#</a></h1>
+<p>This page summarizes all the pretrained models released as part of the <a class="reference external" href="https://opencatalystproject.org/">Open Catalyst Project</a>. All models were trained using this codebase.</p>
+<ul class="simple">
+<li><p><a class="reference internal" href="#open-catalyst-2020-oc20"><span class="xref myst">Open Catalyst 2020 (OC20)</span></a></p>
+<ul>
+<li><p><a class="reference internal" href="#s2ef-models-optimized-for-efwt"><span class="xref myst">S2EF models optimized for EFwT</span></a></p></li>
+<li><p><a class="reference internal" href="#s2ef-models-optimized-for-force-only"><span class="xref myst">S2EF models optimized for force</span></a></p></li>
+<li><p><a class="reference internal" href="#is2re-models"><span class="xref myst">IS2RE models</span></a></p></li>
+</ul>
+</li>
+<li><p><a class="reference internal" href="#open-catalyst-2022-oc22"><span class="xref myst">Open Catalyst 2022 (OC22)</span></a></p>
+<ul>
+<li><p><a class="reference internal" href="#s2ef-total-models"><span class="xref myst">S2EF total models</span></a></p></li>
+</ul>
+</li>
+<li><p><a class="reference internal" href="#open-direct-air-capture-2023-odac23"><span class="xref myst">Open Direct Air Capture 2023 (ODAC23)</span></a></p>
+<ul>
+<li><p><a class="reference internal" href="#s2ef-models"><span class="xref myst">S2EF models</span></a></p></li>
+<li><p><a class="reference internal" href="#is2re-direct-models"><span class="xref myst">IS2RE Direct models</span></a></p></li>
+</ul>
+</li>
+</ul>
+</section>
+<hr class="docutils" />
+<section class="tex2jax_ignore mathjax_ignore" id="open-catalyst-2020-oc20">
+<h1>Open Catalyst 2020 (OC20)<a class="headerlink" href="#open-catalyst-2020-oc20" title="Link to this heading">#</a></h1>
+<ul class="simple">
+<li><p>All configurations for these models are available in the <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs"><code class="docutils literal notranslate"><span class="pre">configs/</span></code></a> directory.</p></li>
+<li><p>All of these models are trained on various splits of the OC20 S2EF / IS2RE datasets. For details, see <a class="reference external" href="https://arxiv.org/abs/2010.09990">https://arxiv.org/abs/2010.09990</a> and https://github.com/FAIR-Chem/fairchem/blob/main/DATASET.md.</p></li>
+<li><p>All OC20 models are trained on adsorption energies, i.e. the DFT total energies minus the clean surface and gas phase adsorbate energies. For details on how to train models on OC20 total energies, please read the <a class="reference external" href="https://fair-chem.github.io/core/datasets/oc20.html">referencing section here</a>.</p></li>
+</ul>
+<section id="s2ef-models-optimized-for-efwt">
+<h2>S2EF models: optimized for EFwT<a class="headerlink" href="#s2ef-models-optimized-for-efwt" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Name</p></th>
+<th class="head"><p>Model</p></th>
+<th class="head"><p>Split</p></th>
+<th class="head"><p>Download</p></th>
+<th class="head"><p>val ID force MAE (eV / Å)</p></th>
+<th class="head"><p>val ID EFwT</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>CGCNN-S2EF-OC20-200k</p></td>
+<td><p>CGCNN</p></td>
+<td><p>200k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/cgcnn_200k.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/200k/cgcnn/cgcnn.yml">config</a></p></td>
+<td><p>0.08</p></td>
+<td><p>0%</p></td>
+</tr>
+<tr class="row-odd"><td><p>CGCNN-S2EF-OC20-2M</p></td>
+<td><p>CGCNN</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/cgcnn_2M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/cgcnn/cgcnn.yml">config</a></p></td>
+<td><p>0.0673</p></td>
+<td><p>0.01%</p></td>
+</tr>
+<tr class="row-even"><td><p>CGCNN-S2EF-OC20-20M</p></td>
+<td><p>CGCNN</p></td>
+<td><p>20M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/cgcnn_20M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/20M/cgcnn/cgcnn.yml">config</a></p></td>
+<td><p>0.065</p></td>
+<td><p>0%</p></td>
+</tr>
+<tr class="row-odd"><td><p>CGCNN-S2EF-OC20-All</p></td>
+<td><p>CGCNN</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/cgcnn_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/cgcnn/cgcnn.yml">config</a></p></td>
+<td><p>0.0684</p></td>
+<td><p>0.01%</p></td>
+</tr>
+<tr class="row-even"><td><p>DimeNet-S2EF-OC20-200k</p></td>
+<td><p>DimeNet</p></td>
+<td><p>200k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/dimenet_200k.pt">checkpoint</a></p></td>
+<td><p>0.0693</p></td>
+<td><p>0.01%</p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet-S2EF-OC20-2M</p></td>
+<td><p>DimeNet</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/dimenet_2M.pt">checkpoint</a></p></td>
+<td><p>0.0576</p></td>
+<td><p>0.02%</p></td>
+</tr>
+<tr class="row-even"><td><p>SchNet-S2EF-OC20-200k</p></td>
+<td><p>SchNet</p></td>
+<td><p>200k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/schnet_200k.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/200k/schnet/schnet.yml">config</a></p></td>
+<td><p>0.0743</p></td>
+<td><p>0%</p></td>
+</tr>
+<tr class="row-odd"><td><p>SchNet-S2EF-OC20-2M</p></td>
+<td><p>SchNet</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/schnet_2M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/schnet/schnet.yml">config</a></p></td>
+<td><p>0.0737</p></td>
+<td><p>0%</p></td>
+</tr>
+<tr class="row-even"><td><p>SchNet-S2EF-OC20-20M</p></td>
+<td><p>SchNet</p></td>
+<td><p>20M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/schnet_20M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/20M/schnet/schnet.yml">config</a></p></td>
+<td><p>0.0568</p></td>
+<td><p>0.03%</p></td>
+</tr>
+<tr class="row-odd"><td><p>SchNet-S2EF-OC20-All</p></td>
+<td><p>SchNet</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/schnet_all_large.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/schnet/schnet.yml">config</a></p></td>
+<td><p>0.0494</p></td>
+<td><p>0.12%</p></td>
+</tr>
+<tr class="row-even"><td><p>DimeNet++-S2EF-OC20-200k</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>200k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/s2ef/dimenetpp_200k.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/200k/dimenet_plus_plus/dpp.yml">config</a></p></td>
+<td><p>0.0741</p></td>
+<td><p>0%</p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet++-S2EF-OC20-2M</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/s2ef/dimenetpp_2M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/dimenet_plus_plus/dpp.yml">config</a></p></td>
+<td><p>0.0595</p></td>
+<td><p>0.01%</p></td>
+</tr>
+<tr class="row-even"><td><p>DimeNet++-S2EF-OC20-20M</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>20M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/s2ef/dimenetpp_20M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/20M/dimenet_plus_plus/dpp.yml">config</a></p></td>
+<td><p>0.0511</p></td>
+<td><p>0.06%</p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet++-S2EF-OC20-All</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/s2ef/dimenetpp_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/dimenet_plus_plus/dpp.yml">config</a></p></td>
+<td><p>0.0444</p></td>
+<td><p>0.12%</p></td>
+</tr>
+<tr class="row-even"><td><p>SpinConv-S2EF-OC20-2M</p></td>
+<td><p>SpinConv</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_12/s2ef/spinconv_force_centric_2M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/spinconv/spinconv_force.yml">config</a></p></td>
+<td><p>0.0329</p></td>
+<td><p>0.18%</p></td>
+</tr>
+<tr class="row-odd"><td><p>SpinConv-S2EF-OC20-All</p></td>
+<td><p>SpinConv</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_08/s2ef/spinconv_force_centric_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/spinconv/spinconv_force.yml">config</a></p></td>
+<td><p>0.0267</p></td>
+<td><p>1.02%</p></td>
+</tr>
+<tr class="row-even"><td><p>GemNet-dT-S2EF-OC20-2M</p></td>
+<td><p>GemNet-dT</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_12/s2ef/gemnet_t_direct_h512_2M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/gemnet/gemnet-dT.yml">config</a></p></td>
+<td><p>0.0257</p></td>
+<td><p>1.10%</p></td>
+</tr>
+<tr class="row-odd"><td><p>GemNet-dT-S2EF-OC20-All</p></td>
+<td><p>GemNet-dT</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_08/s2ef/gemnet_t_direct_h512_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/gemnet/gemnet-dT.yml">config</a></p></td>
+<td><p>0.0211</p></td>
+<td><p>2.21%</p></td>
+</tr>
+<tr class="row-even"><td><p>PaiNN-S2EF-OC20-All</p></td>
+<td><p>PaiNN</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2022_05/s2ef/painn_h512_s2ef_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/painn/painn_h512.yml">config</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/painn/painn_nb6_scaling_factors.pt">scale file</a></p></td>
+<td><p>0.0294</p></td>
+<td><p>0.91%</p></td>
+</tr>
+<tr class="row-odd"><td><p>GemNet-OC-S2EF-OC20-2M</p></td>
+<td><p>GemNet-OC</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2022_07/s2ef/gemnet_oc_base_s2ef_2M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/gemnet/gemnet-oc.yml">config</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/481f3a5a92dc787384ddae9fe3f50f5d932712fd/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc.pt">scale file</a></p></td>
+<td><p>0.0225</p></td>
+<td><p>2.12%</p></td>
+</tr>
+<tr class="row-even"><td><p>GemNet-OC-S2EF-OC20-All</p></td>
+<td><p>GemNet-OC</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2022_07/s2ef/gemnet_oc_base_s2ef_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/gemnet/gemnet-oc.yml">config</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/481f3a5a92dc787384ddae9fe3f50f5d932712fd/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc.pt">scale file</a></p></td>
+<td><p>0.0179</p></td>
+<td><p>4.56%</p></td>
+</tr>
+<tr class="row-odd"><td><p>GemNet-OC-S2EF-OC20-All+MD</p></td>
+<td><p>GemNet-OC</p></td>
+<td><p>All+MD</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_03/s2ef/gemnet_oc_base_s2ef_all_md.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/gemnet/gemnet-oc.yml">config</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/481f3a5a92dc787384ddae9fe3f50f5d932712fd/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc.pt">scale file</a></p></td>
+<td><p>0.0173</p></td>
+<td><p>4.72%</p></td>
+</tr>
+<tr class="row-even"><td><p>GemNet-OC-Large-S2EF-OC20-All+MD</p></td>
+<td><p>GemNet-OC-Large</p></td>
+<td><p>All+MD</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2022_07/s2ef/gemnet_oc_large_s2ef_all_md.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/gemnet/gemnet-oc-large.yml">config</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/481f3a5a92dc787384ddae9fe3f50f5d932712fd/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc-large.pt">scale file</a></p></td>
+<td><p>0.0164</p></td>
+<td><p>5.34%</p></td>
+</tr>
+<tr class="row-odd"><td><p>SCN-S2EF-OC20-2M</p></td>
+<td><p>SCN</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_03/s2ef/scn_t1_b1_s2ef_2M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/scn/scn-t1-b1.yml">config</a></p></td>
+<td><p>0.0216</p></td>
+<td><p>1.68%</p></td>
+</tr>
+<tr class="row-even"><td><p>SCN-t4-b2-S2EF-OC20-2M</p></td>
+<td><p>SCN-t4-b2</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_03/s2ef/scn_t4_b2_s2ef_2M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/scn/scn-t4-b2.yml">config</a></p></td>
+<td><p>0.0193</p></td>
+<td><p>2.68%</p></td>
+</tr>
+<tr class="row-odd"><td><p>SCN-S2EF-OC20-All+MD</p></td>
+<td><p>SCN</p></td>
+<td><p>All+MD</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_03/s2ef/scn_all_md_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/scn/scn-all-md.yml">config</a></p></td>
+<td><p>0.0160</p></td>
+<td><p>5.08%</p></td>
+</tr>
+<tr class="row-even"><td><p>eSCN-L4-M2-Lay12-S2EF-OC20-2M</p></td>
+<td><p>eSCN-L4-M2-Lay12</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_03/s2ef/escn_l4_m2_lay12_2M_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/escn/eSCN-L4-M2-Lay12.yml">config</a></p></td>
+<td><p>0.0191</p></td>
+<td><p>2.55%</p></td>
+</tr>
+<tr class="row-odd"><td><p>eSCN-L6-M2-Lay12-S2EF-OC20-2M</p></td>
+<td><p>eSCN-L6-M2-Lay12</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_03/s2ef/escn_l6_m2_lay12_2M_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/escn/eSCN-L6-M2-Lay12.yml">config</a> | <a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_03/s2ef/escn_l6_m2_lay12_2M_s2ef_export_cuda_9182024.pt2">exported</a></p></td>
+<td><p>0.0186</p></td>
+<td><p>2.66%</p></td>
+</tr>
+<tr class="row-even"><td><p>eSCN-L6-M2-Lay12-S2EF-OC20-All+MD</p></td>
+<td><p>eSCN-L6-M2-Lay12</p></td>
+<td><p>All+MD</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_03/s2ef/escn_l6_m2_lay12_all_md_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/escn/eSCN-L6-M2-Lay12-All-MD.yml">config</a></p></td>
+<td><p>0.0161</p></td>
+<td><p>4.28%</p></td>
+</tr>
+<tr class="row-odd"><td><p>eSCN-L6-M3-Lay20-S2EF-OC20-All+MD</p></td>
+<td><p>eSCN-L6-M3-Lay20</p></td>
+<td><p>All+MD</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_03/s2ef/escn_l6_m3_lay20_all_md_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/escn/eSCN-L6-M3-Lay20-All-MD.yml">config</a></p></td>
+<td><p>0.0139</p></td>
+<td><p>6.64%</p></td>
+</tr>
+<tr class="row-even"><td><p>EquiformerV2-83M-S2EF-OC20-2M</p></td>
+<td><p>EquiformerV2 (83M)</p></td>
+<td><p>2M</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_06/oc20/s2ef/eq2_83M_2M.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/2M/equiformer_v2/equiformer_v2_N&#64;12_L&#64;6_M&#64;2.yml">config</a></p></td>
+<td><p>0.0167</p></td>
+<td><p>4.26%</p></td>
+</tr>
+<tr class="row-odd"><td><p>EquiformerV2-31M-S2EF-OC20-All+MD</p></td>
+<td><p>EquiformerV2 (31M)</p></td>
+<td><p>All+MD</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_06/oc20/s2ef/eq2_31M_ec4_allmd.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/equiformer_v2/equiformer_v2_N&#64;8_L&#64;4_M&#64;2_31M.yml">config</a></p></td>
+<td><p>0.0142</p></td>
+<td><p>6.20%</p></td>
+</tr>
+<tr class="row-even"><td><p>EquiformerV2-153M-S2EF-OC20-All+MD</p></td>
+<td><p>EquiformerV2 (153M)</p></td>
+<td><p>All+MD</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_06/oc20/s2ef/eq2_153M_ec4_allmd.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/equiformer_v2/equiformer_v2_N&#64;20_L&#64;6_M&#64;3_153M.yml">config</a></p></td>
+<td><p>0.0126</p></td>
+<td><p>8.90%</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="s2ef-models-optimized-for-force-only">
+<h2>S2EF models: optimized for force only<a class="headerlink" href="#s2ef-models-optimized-for-force-only" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Name</p></th>
+<th class="head"><p>Model</p></th>
+<th class="head"><p>Split</p></th>
+<th class="head"><p>Download</p></th>
+<th class="head"><p>val ID force MAE</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>SchNet-S2EF-force-only-OC20-All</p></td>
+<td><p>SchNet</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/schnet_all_forceonly.pt">checkpoint</a></p></td>
+<td><p>0.0443</p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet++-force-only-OC20-All</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/s2ef/dimenetpp_all_forceonly.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/dimenet_plus_plus/dpp_forceonly.yml">config</a></p></td>
+<td><p>0.0334</p></td>
+</tr>
+<tr class="row-even"><td><p>DimeNet++-Large-S2EF-force-only-OC20-All</p></td>
+<td><p>DimeNet++-Large</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/s2ef/dimenetpp_large_all_forceonly.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/dimenet_plus_plus/dpp10.7M_forceonly.yml">config</a></p></td>
+<td><p>0.02825</p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet++-S2EF-force-only-OC20-20M+Rattled</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>20M+Rattled</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/s2ef/dimenetpp_20M_rattled_forceonly.pt">checkpoint</a></p></td>
+<td><p>0.0614</p></td>
+</tr>
+<tr class="row-even"><td><p>DimeNet++-S2EF-force-only-OC20-20M+MD</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>20M+MD</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/s2ef/dimenetpp_20M_md_forceonly.pt">checkpoint</a></p></td>
+<td><p>0.0594</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="is2re-models">
+<h2>IS2RE models<a class="headerlink" href="#is2re-models" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Name</p></th>
+<th class="head"><p>Model</p></th>
+<th class="head"><p>Split</p></th>
+<th class="head"><p>Download</p></th>
+<th class="head"><p>val ID energy MAE</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>CGCNN-IS2RE-OC20-10k</p></td>
+<td><p>CGCNN</p></td>
+<td><p>10k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/is2re/cgcnn_10k.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/10k/cgcnn/cgcnn.yml">config</a></p></td>
+<td><p>0.9881</p></td>
+</tr>
+<tr class="row-odd"><td><p>CGCNN-IS2RE-OC20-100k</p></td>
+<td><p>CGCNN</p></td>
+<td><p>100k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/is2re/cgcnn_100k.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/100k/cgcnn/cgcnn.yml">config</a></p></td>
+<td><p>0.682</p></td>
+</tr>
+<tr class="row-even"><td><p>CGCNN-IS2RE-OC20-All</p></td>
+<td><p>CGCNN</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/is2re/cgcnn_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/all/cgcnn/cgcnn.yml">config</a></p></td>
+<td><p>0.6199</p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet-IS2RE-OC20-10k</p></td>
+<td><p>DimeNet</p></td>
+<td><p>10k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/is2re/dimenet_10k.pt">checkpoint</a></p></td>
+<td><p>1.0117</p></td>
+</tr>
+<tr class="row-even"><td><p>DimeNet-IS2RE-OC20-100k</p></td>
+<td><p>DimeNet</p></td>
+<td><p>100k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/is2re/dimenet_100k.pt">checkpoint</a></p></td>
+<td><p>0.6658</p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet-IS2RE-OC20-all</p></td>
+<td><p>DimeNet</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2020_11/is2re/dimenet_all.pt">checkpoint</a></p></td>
+<td><p>0.5999</p></td>
+</tr>
+<tr class="row-even"><td><p>SchNet-IS2RE-OC20-10k</p></td>
+<td><p>SchNet</p></td>
+<td><p>10k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/is2re/schnet_10k.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/10k/schnet/schnet.yml">config</a></p></td>
+<td><p>1.059</p></td>
+</tr>
+<tr class="row-odd"><td><p>SchNet-IS2RE-OC20-100k</p></td>
+<td><p>SchNet</p></td>
+<td><p>100k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/is2re/schnet_100k.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/100k/schnet/schnet.yml">config</a></p></td>
+<td><p>0.7137</p></td>
+</tr>
+<tr class="row-even"><td><p>SchNet-IS2RE-OC20-All</p></td>
+<td><p>SchNet</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/is2re/schnet_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/all/schnet/schnet.yml">config</a></p></td>
+<td><p>0.6458</p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet++-IS2RE-OC20-10k</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>10k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/is2re/dimenetpp_10k.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/10k/dimenet_plus_plus/dpp.yml">config</a></p></td>
+<td><p>0.8837</p></td>
+</tr>
+<tr class="row-even"><td><p>DimeNet++-IS2RE-OC20-100k</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>100k</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/is2re/dimenetpp_100k.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/100k/dimenet_plus_plus/dpp.yml">config</a></p></td>
+<td><p>0.6388</p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet++-IS2RE-OC20-All</p></td>
+<td><p>DimeNet++</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2021_02/is2re/dimenetpp_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/all/dimenet_plus_plus/dpp.yml">config</a></p></td>
+<td><p>0.5639</p></td>
+</tr>
+<tr class="row-even"><td><p>PaiNN-IS2RE-OC20-All</p></td>
+<td><p>PaiNN</p></td>
+<td><p>All</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2022_05/is2re/painn_h1024_bs4x8_is2re_all.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/is2re/all/painn/painn_h1024_bs8x4.yml">config</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/s2ef/all/painn/painn_nb6_scaling_factors.pt">scale file</a></p></td>
+<td><p>0.5728</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p>The Open Catalyst 2020 (OC20) dataset is licensed under a <a class="reference external" href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 License</a>.</p>
+<p>Please consider citing the following paper in any research manuscript using the
+OC20 dataset or pretrained models, as well as the original paper for each model:</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">ocp_dataset</span><span class="p">,</span>
+<span class="w">    </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Chanussot*, Lowik and Das*, Abhishek and Goyal*, Siddharth and Lavril*, Thibaut and Shuaibi*, Muhammed and Riviere, Morgane and Tran, Kevin and Heras-Domingo, Javier and Ho, Caleb and Hu, Weihua and Palizhati, Aini and Sriram, Anuroop and Wood, Brandon and Yoon, Junwoong and Parikh, Devi and Zitnick, C. Lawrence and Ulissi, Zachary}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Open Catalyst 2020 (OC20) Dataset and Community Challenges}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">journal</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{ACS Catalysis}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">year</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2021}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">doi</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{10.1021/acscatal.0c04525}</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="open-catalyst-2022-oc22">
+<h1>Open Catalyst 2022 (OC22)<a class="headerlink" href="#open-catalyst-2022-oc22" title="Link to this heading">#</a></h1>
+<ul class="simple">
+<li><p>All configurations for these models are available in the <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/oc22"><code class="docutils literal notranslate"><span class="pre">configs/oc22</span></code></a> directory.</p></li>
+<li><p>All of these models are trained on various splits of the OC22 S2EF / IS2RE datasets. For details, see <a class="reference external" href="https://arxiv.org/abs/2206.08917">https://arxiv.org/abs/2206.08917</a> and https://github.com/FAIR-Chem/fairchem/blob/main/DATASET.md.</p></li>
+<li><p>All OC22 models released here are trained on DFT total energies, in contrast to the OC20 models listed above, which are trained on adsorption energies.</p></li>
+</ul>
+<section id="s2ef-total-models">
+<h2>S2EF-Total models<a class="headerlink" href="#s2ef-total-models" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Name</p></th>
+<th class="head"><p>Model</p></th>
+<th class="head"><p>Training</p></th>
+<th class="head"><p>Download</p></th>
+<th class="head"><p>val ID force MAE</p></th>
+<th class="head"><p>val ID energy MAE</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>GemNet-dT-S2EFS-OC22</p></td>
+<td><p>GemNet-dT</p></td>
+<td><p>OC22</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2022_09/oc22/s2ef/gndt_oc22_all_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/oc22/s2ef/gemnet-dt/gemnet-dT.yml">config</a></p></td>
+<td><p>0.032</p></td>
+<td><p>1.127</p></td>
+</tr>
+<tr class="row-odd"><td><p>GemNet-OC-S2EFS-OC22</p></td>
+<td><p>GemNet-OC</p></td>
+<td><p>OC22</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2022_09/oc22/s2ef/gnoc_oc22_all_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/oc22/s2ef/gemnet-oc/gemnet_oc.yml">config</a></p></td>
+<td><p>0.030</p></td>
+<td><p>0.563</p></td>
+</tr>
+<tr class="row-even"><td><p>GemNet-OC-S2EFS-OC20+OC22</p></td>
+<td><p>GemNet-OC</p></td>
+<td><p>OC20+OC22</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2022_09/oc22/s2ef/gnoc_oc22_oc20_all_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/oc22/s2ef/gemnet-oc/gemnet_oc_oc20_oc22.yml">config</a></p></td>
+<td><p>0.027</p></td>
+<td><p>0.483</p></td>
+</tr>
+<tr class="row-odd"><td><p>GemNet-OC-S2EFS-nsn-OC20+OC22</p></td>
+<td><p>GemNet-OC <br><sub><sup>(trained with <code class="docutils literal notranslate"><span class="pre">enforce_max_neighbors_strictly=False</span></code>, <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/pull/467">#467</a>)</sup></sub></p></td>
+<td><p>OC20+OC22</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_05/oc22/s2ef/gnoc_oc22_oc20_all_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/oc22/s2ef/gemnet-oc/gemnet_oc_oc20_oc22_degen_edges.yml">config</a></p></td>
+<td><p>0.027</p></td>
+<td><p>0.458</p></td>
+</tr>
+<tr class="row-even"><td><p>GemNet-OC-S2EFS-OC20-&gt;OC22</p></td>
+<td><p>GemNet-OC</p></td>
+<td><p>OC20-&gt;OC22</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2022_09/oc22/s2ef/gnoc_finetune_all_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/oc22/s2ef/gemnet-oc/gemnet_oc_finetune.yml">config</a></p></td>
+<td><p>0.030</p></td>
+<td><p>0.417</p></td>
+</tr>
+<tr class="row-odd"><td><p>EquiformerV2-lE4-lF100-S2EFS-OC22</p></td>
+<td><p>EquiformerV2 (<span class="math notranslate nohighlight">\(\lambda_E\)</span>=4, <span class="math notranslate nohighlight">\(\lambda_F\)</span>=100)</p></td>
+<td><p>OC22</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/opencatalystproject/models/2023_10/oc22/s2ef/eq2_121M_e4_f100_oc22_s2ef.pt">checkpoint</a> | <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/configs/oc22/s2ef/equiformer_v2/equiformer_v2_N&#64;18_L&#64;6_M&#64;2_e4_f100_121M.yml">config</a></p></td>
+<td><p>0.023</p></td>
+<td><p>0.447</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p>The Open Catalyst 2022 (OC22) dataset is licensed under a <a class="reference external" href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 License</a>.</p>
+<p>Please consider citing the following paper in any research manuscript using the
+OC22 dataset or pretrained models, as well as the original paper for each model:</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">oc22_dataset</span><span class="p">,</span>
+<span class="w">    </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Tran*, Richard and Lan*, Janice and Shuaibi*, Muhammed and Wood*, Brandon and Goyal*, Siddharth and Das, Abhishek and Heras-Domingo, Javier and Kolluru, Adeesh and Rizvi, Ammar and Shoghi, Nima and Sriram, Anuroop and Ulissi, Zachary and Zitnick, C. Lawrence}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{The Open Catalyst 2022 (OC22) dataset and challenges for oxide electrocatalysts}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">journal</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{ACS Catalysis}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">year</span><span class="p">=</span><span class="s">{2023}</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+<section id="open-direct-air-capture-2023-odac23">
+<h2>Open Direct Air Capture 2023 (ODAC23)<a class="headerlink" href="#open-direct-air-capture-2023-odac23" title="Link to this heading">#</a></h2>
+<ul class="simple">
+<li><p>All config files for the ODAC23 models are available in the <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac"><code class="docutils literal notranslate"><span class="pre">configs/odac</span></code></a> directory.</p></li>
+</ul>
+</section>
+<section id="s2ef-models">
+<h2>S2EF models<a class="headerlink" href="#s2ef-models" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Name</p></th>
+<th class="head"><p>Model</p></th>
+<th class="head"><p>Checkpoint</p></th>
+<th class="head"><p>Config</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>SchNet-S2EF-ODAC</p></td>
+<td><p>SchNet</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231018/Schnet.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/s2ef/schnet.yml">config</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>DimeNet++-S2EF-ODAC</p></td>
+<td><p>DimeNet++</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231018/DimenetPP.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/s2ef/dpp.yml">config</a></p></td>
+</tr>
+<tr class="row-even"><td><p>PaiNN-S2EF-ODAC</p></td>
+<td><p>PaiNN</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231018/PaiNN.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/s2ef/painn.yml">config</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>GemNet-OC-S2EF-ODAC</p></td>
+<td><p>GemNet-OC</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231018/Gemnet-OC.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/s2ef/gemnet-oc.yml">config</a></p></td>
+</tr>
+<tr class="row-even"><td><p>eSCN-S2EF-ODAC</p></td>
+<td><p>eSCN</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231018/eSCN.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/s2ef/eSCN.yml">config</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>EquiformerV2-S2EF-ODAC</p></td>
+<td><p>EquiformerV2</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231116/eqv2_31M.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/s2ef/eqv2_31M.yml">config</a></p></td>
+</tr>
+<tr class="row-even"><td><p>EquiformerV2-Large-S2EF-ODAC</p></td>
+<td><p>EquiformerV2 (Large)</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231116/Equiformer_V2_Large.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/s2ef/eqv2_153M.yml">config</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="is2re-direct-models">
+<h2>IS2RE Direct models<a class="headerlink" href="#is2re-direct-models" title="Link to this heading">#</a></h2>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Name</p></th>
+<th class="head"><p>Model</p></th>
+<th class="head"><p>Checkpoint</p></th>
+<th class="head"><p>Config</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Gemnet-OC-IS2RE-ODAC</p></td>
+<td><p>Gemnet-OC</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231018/Gemnet-OC_Direct.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/is2re/gemnet-oc.yml">config</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>eSCN-IS2RE-ODAC</p></td>
+<td><p>eSCN</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231018/eSCN_Direct.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/is2re/eSCN.yml">config</a></p></td>
+</tr>
+<tr class="row-even"><td><p>EquiformerV2-IS2RE-ODAC</p></td>
+<td><p>EquiformerV2</p></td>
+<td><p><a class="reference external" href="https://dl.fbaipublicfiles.com/dac/checkpoints_20231116/Equiformer_V2_Direct.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/odac/is2re/eqv2_31M.yml">config</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p>The models in the table above were trained to predict relaxed energy directly. Relaxed energies can also be predicted by running structural relaxations using the S2EF models from the previous section.</p>
+</section>
+<section id="is2rs">
+<h2>IS2RS<a class="headerlink" href="#is2rs" title="Link to this heading">#</a></h2>
+<p>The IS2RS is solved by running structural relaxations using the S2EF models from the prior section.</p>
+<p>The Open DAC 2023 (ODAC23) dataset is licensed under a <a class="reference external" href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 License</a>.</p>
+<p>Please consider citing the following paper in any research manuscript using the ODAC23 dataset:</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">odac23_dataset</span><span class="p">,</span>
+<span class="w">    </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Anuroop Sriram and Sihoon Choi and Xiaohan Yu and Logan M. Brabson and Abhishek Das and Zachary Ulissi and Matt Uyttendaele and Andrew J. Medford and David S. Sholl}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">year</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2023}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">journal</span><span class="p">=</span><span class="s">{arXiv preprint arXiv:2311.00341}</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+<section id="open-materials-2024-omat24">
+<h2>Open Materials 2024 (OMat24)<a class="headerlink" href="#open-materials-2024-omat24" title="Link to this heading">#</a></h2>
+<ul class="simple">
+<li><p>All config files for the OMat24 models are available in the <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24"><code class="docutils literal notranslate"><span class="pre">configs/omat24</span></code></a> directory.</p></li>
+<li><p>All models are equiformerV2 S2EFS models</p></li>
+</ul>
+<p><strong>Note</strong> in order to download any of the model checkpoints from the links below, you will need to first request access
+through the <a class="reference external" href="https://huggingface.co/fairchem/OMAT24">OMMAT24 Hugging Face page</a>.</p>
+<section id="omat-pretrained-models">
+<h3>OMat pretrained models<a class="headerlink" href="#omat-pretrained-models" title="Link to this heading">#</a></h3>
+<p>These checkpoints are trained on OMat24 only. Note that predictions are <em>not</em> Materials Project compatible.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Name</p></th>
+<th class="head"><p>Checkpoint</p></th>
+<th class="head"><p>Config</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>EquiformerV2-31M-OMat</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24/blob/main/eqV2_31M_omat.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/all/eqV2_31M.yml">config</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>EquiformerV2-86M-OMat</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24/blob/main/eqV2_86M_omat.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/all/eqV2_86M.yml">config</a></p></td>
+</tr>
+<tr class="row-even"><td><p>EquiformerV2-153M-OMat</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24/blob/main/eqV2_153M_omat.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/all/eqV2_153M.yml">config</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="mptrj-only-models">
+<h3>MPTrj only models<a class="headerlink" href="#mptrj-only-models" title="Link to this heading">#</a></h3>
+<p>These models are trained only on the <a class="reference internal" href="#"><span class="xref myst">MPTrj</span></a> dataset.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Name</p></th>
+<th class="head"><p>Checkpoint</p></th>
+<th class="head"><p>Config</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>EquiformerV2-31M-MP</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24/blob/main/eqV2_31M_mp.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/mptrj/eqV2_31M_mptrj.yml">config</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>EquiformerV2-31M-DeNS-MP</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24/blob/main/eqV2_dens_31M_mp.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/mptrj/eqV2_31M_dens_mptrj.yml">config</a></p></td>
+</tr>
+<tr class="row-even"><td><p>EquiformerV2-86M-DeNS-MP</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24/blob/main/eqV2_dens_86M_mp.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/mptrj/eqV2_86M_dens_mptrj.yml">config</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>EquiformerV2-153M-DeNS-MP</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24/blob/main/eqV2_dens_153M_mp.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/mptrj/eqV2_153M_dens_mptrj.yml">config</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="finetuned-omat-models">
+<h3>Finetuned OMat models<a class="headerlink" href="#finetuned-omat-models" title="Link to this heading">#</a></h3>
+<p>These models are finetuned from the OMat pretrained checkpoints using MPTrj or MPTrj and sub-sampled trajectories
+from the 3D PBE Alexandria dataset, which we call Alex.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Name</p></th>
+<th class="head"><p>Checkpoint</p></th>
+<th class="head"><p>Config</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>EquiformerV2-31M-OMat-Alex-MP</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24/blob/main/eqV2_31M_omat_mp_salex.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/finetune/eqV2_31M_ft_salexmptrj.yml">config</a></p></td>
+</tr>
+<tr class="row-odd"><td><p>EquiformerV2-86M-OMat-Alex-MP</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24/blob/main/eqV2_86M_omat_mp_salex.pt">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/finetune/eqV2_86M_ft_salexmptrj.yml">config</a></p></td>
+</tr>
+<tr class="row-even"><td><p>EquiformerV2-153M-OMat-Alex-MP</p></td>
+<td><p><a class="reference external" href="https://huggingface.co/fairchem/OMAT24">checkpoint</a></p></td>
+<td><p><a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24/finetune/eqV2_153M_ft_salexmptrj.yml">config</a></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p>Please consider citing the following work if you use OMat24 models in your work,</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">barroso-luqueOpenMaterials20242024</span><span class="p">,</span>
+<span class="w">    </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Barroso-Luque, Luis and Shuaibi, Muhammed and Fu, Xiang and Wood, Brandon M. and Dzamba, Misko and Gao, Meng and Rizvi, Ammar and Zitnick, C. Lawrence and Ulissi, Zachary W.}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">date</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2024-10-16}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">eprint</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2410.12771}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">eprinttype</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{arXiv}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">doi</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{10.48550/arXiv.2410.12771}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">url</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{http://arxiv.org/abs/2410.12771}</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+</section>
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Pretrained FAIRChem models</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#open-catalyst-2020-oc20">Open Catalyst 2020 (OC20)</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-models-optimized-for-efwt">S2EF models: optimized for EFwT</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-models-optimized-for-force-only">S2EF models: optimized for force only</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#is2re-models">IS2RE models</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#open-catalyst-2022-oc22">Open Catalyst 2022 (OC22)</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-total-models">S2EF-Total models</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#open-direct-air-capture-2023-odac23">Open Direct Air Capture 2023 (ODAC23)</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#is2re-direct-models">IS2RE Direct models</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#is2rs">IS2RS</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#open-materials-2024-omat24">Open Materials 2024 (OMat24)</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#omat-pretrained-models">OMat pretrained models</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#mptrj-only-models">MPTrj only models</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#finetuned-omat-models">Finetuned OMat models</a></li>
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+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/core/tasks/index.html">core.tasks</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/client/ui/index.html">ocpapi.client.ui</a></li>
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+</details></li>
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+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/ocpapi/workflows/index.html">ocpapi.workflows</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/adsorbates/index.html">ocpapi.workflows.adsorbates</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/context/index.html">ocpapi.workflows.context</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/filter/index.html">ocpapi.workflows.filter</a></li>
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+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../autoapi/cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../autoapi/cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Model FAQ</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#models">Models</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#are-predictions-from-fairchem-models-deterministic">Are predictions from FAIRChem models deterministic?</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#how-do-i-train-a-model-on-oc20-total-energies">How do I train a model on OC20 total energies?</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#i-m-trying-to-run-gemnet-oc-gemnet-dt-but-it-throws-an-error-that-scaling-factors-are-not-fitted-what-should-i-do">I’m trying to run GemNet-OC / GemNet-dT, but it throws an error that scaling factors are not fitted. What should I do?</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#i-m-trying-to-run-gemnet-oc-on-my-data-but-it-errors-out-on-sph-basis-self-spherical-basis-cos-cab-cabd">I’m trying to run GemNet-OC on my data, but it errors out on <code class="docutils literal notranslate"><span class="pre">sph_basis</span> <span class="pre">=</span> <span class="pre">self.spherical_basis(cosφ_cab,</span> <span class="pre">θ_cabd)</span></code>.</a></li>
+</ul>
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+</ul>
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+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="model-faq">
+<h1>Model FAQ<a class="headerlink" href="#model-faq" title="Link to this heading">#</a></h1>
+<p>If you don’t find your question answered here, please feel free to <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/issues">file a GitHub issue</a> or <a class="reference external" href="https://discuss.opencatalystproject.org/">post on the discussion board</a>.</p>
+<section id="models">
+<h2>Models<a class="headerlink" href="#models" title="Link to this heading">#</a></h2>
+<section id="are-predictions-from-fairchem-models-deterministic">
+<h3>Are predictions from FAIRChem models deterministic?<a class="headerlink" href="#are-predictions-from-fairchem-models-deterministic" title="Link to this heading">#</a></h3>
+<p>By deterministic, we mean that multiple calls to the same function, given
+the same inputs (and seed), will produce the same results.</p>
+<p>On CPU, all operations should be deterministic. On GPU, <code class="docutils literal notranslate"><span class="pre">scatter</span></code> calls – which
+are used in the node aggregation functions to get the final energy –
+are non-deterministic, since the order of parallel operations is not uniquely
+determined [<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.Tensor.scatter_.html">1</a>,
+<a class="reference external" href="https://pytorch-scatter.readthedocs.io/en/latest/functions/scatter.html">2</a>].
+Moreover, results may be different between GPU and CPU
+executions [<a class="reference external" href="https://pytorch.org/docs/stable/notes/randomness.html">3</a>].</p>
+<p>To get deterministic results on GPU, use <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.use_deterministic_algorithms.html#torch.use_deterministic_algorithms"><code class="docutils literal notranslate"><span class="pre">torch.use_deterministic_algorithms</span></code></a>
+where available (for example, see <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/common/utils.py#L1112"><code class="docutils literal notranslate"><span class="pre">scatter_det</span></code></a>). Note that deterministic operations are often slower
+than non-deterministic operations, so while this may be worth using for testing
+and debugging, this is not recommended for large-scale training and inference.</p>
+</section>
+<section id="how-do-i-train-a-model-on-oc20-total-energies">
+<h3>How do I train a model on OC20 total energies?<a class="headerlink" href="#how-do-i-train-a-model-on-oc20-total-energies" title="Link to this heading">#</a></h3>
+<p>By default, the OC20 S2EF/IS2RE LMDBs have adsorption energies, i.e. the DFT
+total energies minus the clean surface and gas phase adsorbate energies.</p>
+<p>In order to train a model on DFT total energies, set the following flags in the
+YAML config:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">task</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain"># To train on OC20 total energies, use the &#39;oc22_lmdb&#39; dataset class.</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">dataset</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">oc22_lmdb</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+
+<span class="nt">dataset</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">train</span><span class="p">:</span>
+<span class="w">        </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+<span class="w">        </span><span class="l l-Scalar l-Scalar-Plain"># To train on OC20 total energies, a path to OC20 reference energies</span>
+<span class="w">        </span><span class="l l-Scalar l-Scalar-Plain"># `oc20_ref` must be specified to unreference existing data.</span>
+<span class="w">        </span><span class="l l-Scalar l-Scalar-Plain">train_on_oc20_total_energies</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">        </span><span class="nt">oc20_ref</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">path/to/oc20_ref.pkl</span>
+<span class="w">        </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+<span class="w">    </span><span class="nt">val</span><span class="p">:</span>
+<span class="w">        </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+<span class="w">        </span><span class="l l-Scalar l-Scalar-Plain">train_on_oc20_total_energies</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">        </span><span class="nt">oc20_ref</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">path/to/oc20_ref.pkl</span>
+<span class="w">        </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+</pre></div>
+</div>
+<p>The OC20 reference pickle file containing the energy necessary to convert
+adsorption energy values to total energy is <a class="reference external" href="https://fair-chem.github.io/core/datasets/oc20.html">available for download
+here</a>.</p>
+<p>To test if your setup is correct, try the following:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">OC22LmdbDataset</span>
+
+<span class="n">dset</span> <span class="o">=</span> <span class="n">OC22LmdbDataset</span><span class="p">({</span>
+    <span class="s2">&quot;src&quot;</span><span class="p">:</span> <span class="s2">&quot;path/to/oc20/lmdb/folder/&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;train_on_oc20_total_energies&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s2">&quot;oc20_ref&quot;</span><span class="p">:</span> <span class="s2">&quot;path/to/oc20_ref.pkl&quot;</span><span class="p">,</span>
+<span class="p">})</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">dset</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+<span class="c1"># Data(y=-181.54722937, ...) -- total DFT energies are usually quite high!</span>
+</pre></div>
+</div>
+<p>Another option that might be useful for training on total energies is passing
+precomputed per-element average energies with <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/faq/configs/s2ef/example.yml#L94-L97"><code class="docutils literal notranslate"><span class="pre">lin_ref</span></code></a>. If you use this option, make sure to recompute the
+<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/faq/configs/s2ef/example.yml#L82-L83">normalizer statistics (for energies)</a>
+<em>after</em> linear referencing.</p>
+</section>
+<section id="i-m-trying-to-run-gemnet-oc-gemnet-dt-but-it-throws-an-error-that-scaling-factors-are-not-fitted-what-should-i-do">
+<h3>I’m trying to run GemNet-OC / GemNet-dT, but it throws an error that scaling factors are not fitted. What should I do?<a class="headerlink" href="#i-m-trying-to-run-gemnet-oc-gemnet-dt-but-it-throws-an-error-that-scaling-factors-are-not-fitted-what-should-i-do" title="Link to this heading">#</a></h3>
+<p>GemNet-OC and GemNet-dT make use of empirical scaling factors that are fit on a
+few batches of data prior to training in order to stabilize the variance of
+activations. See <a class="reference external" href="https://arxiv.org/abs/2106.08903">Sec. 6 in the GemNet paper</a>
+for more details on this.</p>
+<p>We provide some set of scaling factors as part of the <code class="docutils literal notranslate"><span class="pre">fairchem</span></code> codebase that you
+can reuse by passing the <code class="docutils literal notranslate"><span class="pre">scale_file</span></code> parameter in the YAML config. For example:</p>
+<ul class="simple">
+<li><p>GemNet-dT <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/configs/s2ef/all/gemnet/scaling_factors/gemnet-dT.json">scaling factors</a> and <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/configs/s2ef/all/gemnet/gemnet-dT.yml#L32">config</a></p></li>
+<li><p>GemNet-OC <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc.pt">scaling factors</a> and <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/configs/s2ef/all/gemnet/gemnet-oc.yml#L45">config</a></p></li>
+</ul>
+<p>If you change any of the model architecture hyperparameters or the dataset, you
+should refit these scaling factors:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>src/fairchem/core/modules/scaling/fit.py<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--config-yml<span class="w"> </span>path/to/my/config.yml<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--checkpoint<span class="w"> </span>path/to/save/checkpoint.pt<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--mode<span class="w"> </span>train
+</pre></div>
+</div>
+<p>This will recalculate the scaling factors and save them in a checkpoint file
+<code class="docutils literal notranslate"><span class="pre">path/to/save/checkpoint.pt</span></code>, that you can then load and launch training from:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>main.py<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--config-yml<span class="w"> </span>path/to/my/config.yml<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--checkpoint<span class="w"> </span>path/to/save/checkpoint.pt<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--mode<span class="w"> </span>train
+</pre></div>
+</div>
+</section>
+<section id="i-m-trying-to-run-gemnet-oc-on-my-data-but-it-errors-out-on-sph-basis-self-spherical-basis-cos-cab-cabd">
+<h3>I’m trying to run GemNet-OC on my data, but it errors out on <code class="docutils literal notranslate"><span class="pre">sph_basis</span> <span class="pre">=</span> <span class="pre">self.spherical_basis(cosφ_cab,</span> <span class="pre">θ_cabd)</span></code>.<a class="headerlink" href="#i-m-trying-to-run-gemnet-oc-on-my-data-but-it-errors-out-on-sph-basis-self-spherical-basis-cos-cab-cabd" title="Link to this heading">#</a></h3>
+<p>This is likely a tagging issue – GemNet-OC computes quadruplet interactions
+for atoms tagged as 1 and 2
+(<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/gemnet_oc/gemnet_oc.py#L1020">see code</a>).
+In OC20 parlance, <code class="docutils literal notranslate"><span class="pre">tag==1</span></code> refers to surface atoms and <code class="docutils literal notranslate"><span class="pre">tag==2</span></code> refers to
+adsorbate atoms. If all the atoms are tagged as 0 (check <code class="docutils literal notranslate"><span class="pre">atoms.get_tags()</span></code>),
+no quadruplets are computed, and part of the GemNet-OC forward pass fails.
+Having some atoms tagged as 1 or 2 in your structure should fix it.</p>
+</section>
+</section>
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#are-predictions-from-fairchem-models-deterministic">Are predictions from FAIRChem models deterministic?</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#how-do-i-train-a-model-on-oc20-total-energies">How do I train a model on OC20 total energies?</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#i-m-trying-to-run-gemnet-oc-gemnet-dt-but-it-throws-an-error-that-scaling-factors-are-not-fitted-what-should-i-do">I’m trying to run GemNet-OC / GemNet-dT, but it throws an error that scaling factors are not fitted. What should I do?</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#i-m-trying-to-run-gemnet-oc-on-my-data-but-it-errors-out-on-sph-basis-self-spherical-basis-cos-cab-cabd">I’m trying to run GemNet-OC on my data, but it errors out on <code class="docutils literal notranslate"><span class="pre">sph_basis</span> <span class="pre">=</span> <span class="pre">self.spherical_basis(cosφ_cab,</span> <span class="pre">θ_cabd)</span></code>.</a></li>
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+    <h1>Training and evaluating custom models on OCP datasets</h1>
+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Training and evaluating custom models on OCP datasets</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#getting-started">Getting Started</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#oc20">OC20</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-energy-prediction-is2re">Initial Structure to Relaxed Energy prediction (IS2RE)</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#is2re-relaxations">IS2RE Relaxations</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-energy-and-forces-s2ef">Structure to Energy and Forces (S2EF)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#training-oc20-models-with-total-energies-is2re-s2ef">Training OC20 models with total energies (IS2RE/S2EF)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#overriding-yaml-config-parameters-from-the-command-line">Overriding YAML config parameters from the command line</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-structure-is2rs">Initial Structure to Relaxed Structure (IS2RS)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#create-evalai-oc20-submission-files">Create EvalAI OC20 submission files</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-is2re">S2EF/IS2RE:</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#is2rs">IS2RS:</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#oc22">OC22</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-total-relaxed-energy-is2re-total">Initial Structure to Total Relaxed Energy (IS2RE-Total)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-total-energy-and-forces-s2ef-total">Structure to Total Energy and Forces (S2EF-Total)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#joint-training">Joint Training</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#create-evalai-oc22-submission-files">Create EvalAI OC22 submission files</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-total-is2re-total">S2EF-Total/IS2RE-Total:</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="training-and-evaluating-custom-models-on-ocp-datasets">
+<h1>Training and evaluating custom models on OCP datasets<a class="headerlink" href="#training-and-evaluating-custom-models-on-ocp-datasets" title="Link to this heading">#</a></h1>
+<section id="getting-started">
+<h2>Getting Started<a class="headerlink" href="#getting-started" title="Link to this heading">#</a></h2>
+<p>The <a class="reference external" href="https://opencatalystproject.org/">Open Catalyst Project</a> consists of three distinct tasks:</p>
+<ul class="simple">
+<li><p>Initial Structure to Relaxed Energy prediction (IS2RE)</p></li>
+<li><p>Structure to Energy and Forces (S2EF)</p></li>
+<li><p>Initial Structure to Relaxed Structure (IS2RS)</p></li>
+</ul>
+<p>This document is a tutorial for training and evaluating models
+for each of these tasks as well as generating submission files for the
+<a class="reference external" href="https://eval.ai/web/challenges/challenge-page/712/overview">evaluation server hosted on EvalAI</a>.</p>
+<p><code class="docutils literal notranslate"><span class="pre">main.py</span></code> serves as the entry point to run any task. This script requires two command line
+arguments at a minimum:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">--mode</span> <span class="pre">MODE</span></code>: MODE can be <code class="docutils literal notranslate"><span class="pre">train</span></code>, <code class="docutils literal notranslate"><span class="pre">predict</span></code> or <code class="docutils literal notranslate"><span class="pre">run-relaxations</span></code> to train a model, make predictions
+using an existing model, or run machine learning based relaxations using an existing model, respectively.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">--config-yml</span> <span class="pre">PATH</span></code>: PATH is the path to a YAML configuration file. We use YAML files to supply all
+parameters to the script. The <code class="docutils literal notranslate"><span class="pre">configs</span></code> directory contains a number of example config files.</p></li>
+</ul>
+<p>Running <code class="docutils literal notranslate"><span class="pre">main.py</span></code> directly runs the model on a single CPU or GPU if one is available:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">main</span><span class="o">.</span><span class="n">py</span> <span class="o">--</span><span class="n">mode</span> <span class="n">train</span> <span class="o">--</span><span class="n">config</span><span class="o">-</span><span class="n">yml</span> <span class="n">configs</span><span class="o">/</span><span class="n">TASK</span><span class="o">/</span><span class="n">SIZE</span><span class="o">/</span><span class="n">MODEL</span><span class="o">/</span><span class="n">MODEL</span><span class="o">.</span><span class="n">yml</span>
+</pre></div>
+</div>
+<p>If you have multiple
+GPUs, you can use distributed data parallel training by running:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">torchrun</span> <span class="o">--</span><span class="n">standalone</span> <span class="o">--</span><span class="n">nproc_per_node</span><span class="o">=</span><span class="mi">8</span> <span class="n">main</span><span class="o">.</span><span class="n">py</span> <span class="o">--</span><span class="n">distributed</span> <span class="o">--</span><span class="n">num</span><span class="o">-</span><span class="n">gpus</span> <span class="mi">8</span> <span class="p">[</span><span class="o">...</span><span class="p">]</span>
+</pre></div>
+</div>
+<p><code class="docutils literal notranslate"><span class="pre">torchrun</span></code> launches multiple processes for distributed training. For more details, refer to the
+<a class="reference external" href="https://pytorch.org/docs/stable/elastic/run.html">official documentation</a></p>
+<p>If training with multiple GPUs, GPU load balancing may be used to evenly distribute a batch of variable system sizes across GPUs. Load balancing may either balance by number of atoms or number of neighbors. A <code class="docutils literal notranslate"><span class="pre">metadata.npz</span></code> file must be available in the dataset directory to take advantage of this feature. The following command will generate a  <code class="docutils literal notranslate"><span class="pre">metadata.npz</span></code> file and place it in the corresponding directory.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">scripts</span><span class="o">/</span><span class="n">make_lmdb_sizes</span><span class="o">.</span><span class="n">py</span> <span class="o">--</span><span class="n">data</span><span class="o">-</span><span class="n">path</span> <span class="n">data</span><span class="o">/</span><span class="n">s2ef</span><span class="o">/</span><span class="n">train</span><span class="o">/</span><span class="mi">2</span><span class="n">M</span> <span class="o">--</span><span class="n">num</span><span class="o">-</span><span class="n">workers</span> <span class="mi">8</span>
+</pre></div>
+</div>
+<p>Load balancing is activated by default (in atoms mode). To change modes you can specify the following in your config:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">optim</span><span class="p">:</span>
+  <span class="n">load_balancing</span><span class="p">:</span> <span class="n">neighbors</span>
+</pre></div>
+</div>
+<p>For more details, refer to <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/pull/267">PR 267</a>.</p>
+<p>If you have access to a slurm cluster, we use the <a class="reference external" href="https://github.com/facebookincubator/submitit">submitit</a> package to simplify multi-node distributed training:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">main</span><span class="o">.</span><span class="n">py</span> <span class="o">--</span><span class="n">distributed</span> <span class="o">--</span><span class="n">num</span><span class="o">-</span><span class="n">gpus</span> <span class="mi">8</span> <span class="o">--</span><span class="n">num</span><span class="o">-</span><span class="n">nodes</span> <span class="mi">6</span> <span class="o">--</span><span class="n">submit</span> <span class="p">[</span><span class="o">...</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>In the rest of this tutorial, we explain how to train models for each task.</p>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="oc20">
+<h1>OC20<a class="headerlink" href="#oc20" title="Link to this heading">#</a></h1>
+<section id="initial-structure-to-relaxed-energy-prediction-is2re">
+<h2>Initial Structure to Relaxed Energy prediction (IS2RE)<a class="headerlink" href="#initial-structure-to-relaxed-energy-prediction-is2re" title="Link to this heading">#</a></h2>
+<p>In the IS2RE tasks, the model takes the initial structure as an input and predicts the structure’s adsorption energy
+in the relaxed state. To train a model for the IS2RE task, you can use the following in your configuration file:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">trainer</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">ocp</span>
+
+<span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="c1"># Train data</span>
+<span class="w">  </span><span class="nt">train</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="p p-Indicator">[</span><span class="nv">Path to training data</span><span class="p p-Indicator">]</span>
+<span class="w">    </span><span class="nt">normalize_labels</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">    </span><span class="c1"># Mean and standard deviation of energies</span>
+<span class="w">    </span><span class="nt">target_mean</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">-0.969171404838562</span>
+<span class="w">    </span><span class="nt">target_std</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">1.3671793937683105</span>
+<span class="w">  </span><span class="c1"># Val data (optional)</span>
+<span class="w">  </span><span class="nt">val</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="p p-Indicator">[</span><span class="nv">Path to validation data</span><span class="p p-Indicator">]</span>
+<span class="w">  </span><span class="c1"># Test data (optional)</span>
+<span class="w">  </span><span class="nt">test</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="p p-Indicator">[</span><span class="nv">Path to test data</span><span class="p p-Indicator">]</span>
+</pre></div>
+</div>
+<p>You can find examples configuration files in <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/src/fairchem/core/configs/is2re"><code class="docutils literal notranslate"><span class="pre">configs/is2re</span></code></a>.</p>
+<p>To train a SchNet model for the IS2RE task on the 10k split, run:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>main.py<span class="w"> </span>--mode<span class="w"> </span>train<span class="w"> </span>--config-yml<span class="w"> </span>configs/is2re/10k/schnet/schnet.yml
+</pre></div>
+</div>
+<p>Training logs are stored in <code class="docutils literal notranslate"><span class="pre">logs/tensorboard/[TIMESTAMP]</span></code> where <code class="docutils literal notranslate"><span class="pre">[TIMESTAMP]</span></code> is
+the starting time-stamp of the run. You can monitor the training process by running:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>tensorboard<span class="w"> </span>--logdir<span class="w"> </span>logs/tensorboard/<span class="o">[</span>TIMESTAMP<span class="o">]</span>
+</pre></div>
+</div>
+<p>At the end of training, the model checkpoint is stored in <code class="docutils literal notranslate"><span class="pre">checkpoints/[TIMESTAMP]/checkpoint.pt</span></code>.</p>
+<p>Next, run this model on the test data:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>main.py<span class="w"> </span>--mode<span class="w"> </span>predict<span class="w"> </span>--config-yml<span class="w"> </span>configs/is2re/10k/schnet/schnet.yml<span class="w"> </span><span class="se">\</span>
+<span class="w">        </span>--checkpoint<span class="w"> </span>checkpoints/<span class="o">[</span>TIMESTAMP<span class="o">]</span>/checkpoint.pt
+</pre></div>
+</div>
+<p>The predictions are stored in <code class="docutils literal notranslate"><span class="pre">[RESULTS_DIR]/is2re_predictions.npz</span></code> and later used to create a submission file to be uploaded to EvalAI.</p>
+<section id="is2re-relaxations">
+<h3>IS2RE Relaxations<a class="headerlink" href="#is2re-relaxations" title="Link to this heading">#</a></h3>
+<p>Alternatively, the IS2RE task may be approached by 2 methods as described in our paper:</p>
+<ul>
+<li><p>Single Model: Relaxed energy predictions are extracted from relaxed structures generated via ML relaxations from a single model.</p>
+<ol class="arabic">
+<li><p>Train a S2EF model on both energy and forces as described <a class="reference internal" href="#"><span class="std std-doc">here</span></a></p></li>
+<li><p>Using the trained S2EF model, run ML relaxations as described <a class="reference internal" href="#"><span class="std std-doc">here</span></a>. Ensure <code class="docutils literal notranslate"><span class="pre">traj_dir</span></code> is uniquely specified in the config as to save out the full trajectory. A sample config can be found <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/configs/s2ef/2M/dimenet_plus_plus/dpp_relax.yml">here</a>. ** Note ** Relaxations on the complete val/test set may take upwards of 8hrs depending on your available hardware.</p></li>
+<li><p>Prepare a submission file by running the following command:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">scripts</span><span class="o">/</span><span class="n">make_submission_file</span><span class="o">.</span><span class="n">py</span> <span class="o">--</span><span class="nb">id</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="nb">id</span><span class="o">/</span><span class="n">traj_dir</span> \
+        <span class="o">--</span><span class="n">ood</span><span class="o">-</span><span class="n">ads</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">ood_ads</span><span class="o">/</span><span class="n">traj_dir</span> <span class="o">--</span><span class="n">ood</span><span class="o">-</span><span class="n">cat</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">ood_cat</span><span class="o">/</span><span class="n">traj_dir</span> \
+        <span class="o">--</span><span class="n">ood</span><span class="o">-</span><span class="n">both</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">ood_both</span><span class="o">/</span><span class="n">traj_dir</span> <span class="o">--</span><span class="n">out</span><span class="o">-</span><span class="n">path</span> <span class="n">submission_file</span><span class="o">.</span><span class="n">npz</span> <span class="o">--</span><span class="n">is2re</span><span class="o">-</span><span class="n">relaxations</span>
+</pre></div>
+</div>
+</li>
+</ol>
+</li>
+<li><p>Dual Model: Relaxed energy predictions are extracted from relaxed structures generated via ML relaxations from two models - one for running relaxations and one for making energy predictions.</p>
+<ol class="arabic">
+<li><p>Train two S2EF models, energy-only and force-only.</p></li>
+<li><p>Using the trained force-only S2EF model, run ML relaxations as described previously. Ensure <code class="docutils literal notranslate"><span class="pre">traj_dir</span></code> is uniquely specified in the config as to save out the full trajectory. <strong>Note</strong> Relaxations on the complete val/test set may take upwards of 8hrs depending on your available hardware.</p></li>
+<li><p>In order to make predictions via the energy-only model on the generated trajectories, LMDBs must be constructed via the following command:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>python scripts/preprocess_relaxed.py --id path/to/id/traj_dir \
+      --ood-ads path/to/ood_ads/traj_dir --ood-cat path/to/ood_cat/traj_dir \
+      --ood-both path/to/ood_both/traj_dir --out-path $DIR --num-workers $NUM_WORKERS
+</pre></div>
+</div>
+<p>Where <code class="docutils literal notranslate"><span class="pre">$DIR</span></code> specifies the directory to save generated LMDBs. A sub-directory will be created for each of the 4 splits in <code class="docutils literal notranslate"><span class="pre">$DIR</span></code>. <code class="docutils literal notranslate"><span class="pre">$NUM_WORKERS</span></code> is the number of data preprocessing cpu workers to be used.</p>
+</li>
+<li><p>Update your energy-only config to point the test set to the newly generated LMDBs. Using the trained energy-only S2EF model, generate predictions via <code class="docutils literal notranslate"><span class="pre">--mode</span> <span class="pre">predict</span></code> (as you would do for the general IS2RE/S2EF case).</p></li>
+<li><p>Prepare a submission file by running the following command:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">scripts</span><span class="o">/</span><span class="n">make_submission_file</span><span class="o">.</span><span class="n">py</span> <span class="o">--</span><span class="nb">id</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="nb">id</span><span class="o">/</span><span class="n">s2ef_predictions</span><span class="o">.</span><span class="n">npz</span> \
+        <span class="o">--</span><span class="n">ood</span><span class="o">-</span><span class="n">ads</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">ood_ads</span><span class="o">/</span><span class="n">s2ef_predictions</span><span class="o">.</span><span class="n">npz</span> <span class="o">--</span><span class="n">ood</span><span class="o">-</span><span class="n">cat</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">ood_cat</span><span class="o">/</span><span class="n">s2ef_predictions</span><span class="o">.</span><span class="n">npz</span> \
+        <span class="o">--</span><span class="n">ood</span><span class="o">-</span><span class="n">both</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">ood_both</span><span class="o">/</span><span class="n">s2ef_predictions</span><span class="o">.</span><span class="n">npz</span> <span class="o">--</span><span class="n">out</span><span class="o">-</span><span class="n">path</span> <span class="n">submission_file</span><span class="o">.</span><span class="n">npz</span> \
+        <span class="o">--</span><span class="n">is2re</span><span class="o">-</span><span class="n">relaxations</span> <span class="o">--</span><span class="n">hybrid</span>
+</pre></div>
+</div>
+</li>
+</ol>
+</li>
+</ul>
+</section>
+</section>
+<section id="structure-to-energy-and-forces-s2ef">
+<h2>Structure to Energy and Forces (S2EF)<a class="headerlink" href="#structure-to-energy-and-forces-s2ef" title="Link to this heading">#</a></h2>
+<p>In the S2EF task, the model takes the positions of the atoms as input and predicts the adsorption energy and per-atom
+forces as calculated by DFT. To train a model for the S2EF task, you can use the <code class="docutils literal notranslate"><span class="pre">OCPTrainer</span></code>
+and <code class="docutils literal notranslate"><span class="pre">TrajectoryLmdb</span></code> dataset by specifying the following in your configuration file:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">trainer</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">ocp</span>
+
+<span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="c1"># Training data</span>
+<span class="w">  </span><span class="nt">train</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="p p-Indicator">[</span><span class="nv">Path to training data</span><span class="p p-Indicator">]</span>
+<span class="w">    </span><span class="nt">normalize_labels</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">    </span><span class="c1"># Mean and standard deviation of energies</span>
+<span class="w">    </span><span class="nt">target_mean</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">-0.7586356401443481</span>
+<span class="w">    </span><span class="nt">target_std</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">2.981738567352295</span>
+<span class="w">    </span><span class="c1"># Mean and standard deviation of forces</span>
+<span class="w">    </span><span class="nt">grad_target_mean</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">0.0</span>
+<span class="w">    </span><span class="nt">grad_target_std</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">2.981738567352295</span>
+<span class="w">  </span><span class="c1"># Val data (optional)</span>
+<span class="w">  </span><span class="nt">val</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="p p-Indicator">[</span><span class="nv">Path to validation data</span><span class="p p-Indicator">]</span>
+<span class="w">  </span><span class="c1"># Test data (optional)</span>
+<span class="w">  </span><span class="nt">test</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="p p-Indicator">[</span><span class="nv">Path to test data</span><span class="p p-Indicator">]</span>
+</pre></div>
+</div>
+<p>You can find examples configuration files in <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/src/fairchem/core/configs/s2ef"><code class="docutils literal notranslate"><span class="pre">configs/s2ef</span></code></a>.</p>
+<p>To train a SchNet model for the S2EF task on the 2M split using 2 GPUs, run:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>torchrun<span class="w"> </span>--standalone<span class="w"> </span>--nproc_per_node<span class="o">=</span><span class="m">2</span><span class="w"> </span>main.py<span class="w"> </span><span class="se">\</span>
+<span class="w">        </span>--mode<span class="w"> </span>train<span class="w"> </span>--config-yml<span class="w"> </span>configs/s2ef/2M/schnet/schnet.yml<span class="w"> </span>--num-gpus<span class="w"> </span><span class="m">2</span><span class="w"> </span>--distributed
+</pre></div>
+</div>
+<p>Similar to the IS2RE task, tensorboard logs are stored in <code class="docutils literal notranslate"><span class="pre">logs/tensorboard/[TIMESTAMP]</span></code> and the
+checkpoint is stored in <code class="docutils literal notranslate"><span class="pre">checkpoints/[TIMESTAMP]/checkpoint.pt</span></code>.</p>
+<p>Next, run this model on the test data:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>main.py<span class="w"> </span>--mode<span class="w"> </span>predict<span class="w"> </span>--config-yml<span class="w"> </span>configs/s2ef/2M/schnet/schnet.yml<span class="w"> </span><span class="se">\</span>
+<span class="w">        </span>--checkpoint<span class="w"> </span>checkpoints/<span class="o">[</span>TIMESTAMP<span class="o">]</span>/checkpoint.pt
+</pre></div>
+</div>
+<p>The predictions are stored in <code class="docutils literal notranslate"><span class="pre">[RESULTS_DIR]/ocp_predictions.npz</span></code> and later used to create a submission file to be uploaded to EvalAI.</p>
+</section>
+<section id="training-oc20-models-with-total-energies-is2re-s2ef">
+<h2>Training OC20 models with total energies (IS2RE/S2EF)<a class="headerlink" href="#training-oc20-models-with-total-energies-is2re-s2ef" title="Link to this heading">#</a></h2>
+<p>To train and validate an OC20 IS2RE/S2EF model on total energies instead of adsorption energies there are a number of
+required changes to the config. They include setting: <code class="docutils literal notranslate"><span class="pre">dataset:</span> <span class="pre">oc22_lmdb</span></code>, <code class="docutils literal notranslate"><span class="pre">prediction_dtype:</span> <span class="pre">float32</span></code>,
+<code class="docutils literal notranslate"><span class="pre">train_on_oc20_total_energies:</span> <span class="pre">True</span></code>, and <code class="docutils literal notranslate"><span class="pre">oc20_ref:</span> <span class="pre">path/to/oc20_ref.pkl</span></code> (see example below).
+Also, please note that our evaluation server does not currently support OC20 total energy models.</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">task</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">prediction_dtype</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">float32</span>
+<span class="w">  </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+
+<span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">format</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">oc22_lmdb</span>
+<span class="w">  </span><span class="nt">train</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">data/oc20/s2ef/train</span>
+<span class="w">    </span><span class="nt">normalize_labels</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">False</span>
+<span class="w">    </span><span class="nt">train_on_oc20_total_energies</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">    </span><span class="c1"># download at https://dl.fbaipublicfiles.com/opencatalystproject/data/oc22/oc20_ref.pkl</span>
+<span class="w">    </span><span class="nt">oc20_ref</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">path/to/oc20_ref.pkl</span>
+<span class="w">  </span><span class="nt">val</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">data/oc20/s2ef/val_id</span>
+<span class="w">    </span><span class="nt">train_on_oc20_total_energies</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">    </span><span class="nt">oc20_ref</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">path/to/oc20_ref.pkl</span>
+</pre></div>
+</div>
+</section>
+<section id="overriding-yaml-config-parameters-from-the-command-line">
+<h2>Overriding YAML config parameters from the command line<a class="headerlink" href="#overriding-yaml-config-parameters-from-the-command-line" title="Link to this heading">#</a></h2>
+<p>There is some support for specifying arguments from the command line, such that
+they would override any parameter from the YAML configuration file. The parser
+for this relies on the <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/common/utils.py#L357">nesting level being correctly specified using a <code class="docutils literal notranslate"><span class="pre">.</span></code>
+separator</a>.</p>
+<p>For example, to override the training dataset path via a command line argument:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>main.py<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--mode<span class="w"> </span>train
+<span class="w">    </span>--config-yml<span class="w"> </span>configs/s2ef/2M/schnet/schnet.yml<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--dataset.train.src<span class="o">=</span>path/to/my/dataset/
+</pre></div>
+</div>
+<p>Or to update the initial learning rate:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>main.py<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--mode<span class="w"> </span>train
+<span class="w">    </span>--config-yml<span class="w"> </span>configs/s2ef/2M/schnet/schnet.yml<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--optim.lr_initial<span class="o">=</span>3e-4
+</pre></div>
+</div>
+</section>
+<section id="initial-structure-to-relaxed-structure-is2rs">
+<h2>Initial Structure to Relaxed Structure (IS2RS)<a class="headerlink" href="#initial-structure-to-relaxed-structure-is2rs" title="Link to this heading">#</a></h2>
+<p>In the IS2RS task the model takes as input an initial structure and predicts the atomic positions in their
+final, relaxed state. This can be done by training a model to predict per-atom forces similar to the S2EF
+task and then running an iterative relaxation. Although we present an iterative approach, models that directly predict relaxed states are also possible. The iterative approach IS2RS task uses the same configuration files as the S2EF task <code class="docutils literal notranslate"><span class="pre">configs/s2ef</span></code> and follows the same training scheme above.</p>
+<p>To perform an iterative relaxation, ensure the following is added to the configuration files of the models you wish to run relaxations on:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="c1"># Relaxation options</span>
+<span class="nt">relax_dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">data/is2re/all/val_id/data.lmdb</span><span class="w"> </span><span class="c1"># path to lmdb of systems to be relaxed (uses same lmdbs as is2re)</span>
+<span class="nt">write_pos</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="nt">relaxation_steps</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">300</span>
+<span class="nt">relax_opt</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">maxstep</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">0.04</span>
+<span class="w">  </span><span class="nt">memory</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">50</span>
+<span class="w">  </span><span class="nt">damping</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">1.0</span>
+<span class="w">  </span><span class="nt">alpha</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">70.0</span>
+<span class="w">  </span><span class="nt">traj_dir</span><span class="p">:</span><span class="w"> </span><span class="s">&quot;trajectories&quot;</span><span class="w"> </span><span class="c1"># specify directory you wish to log the entire relaxations, suppress otherwise</span>
+</pre></div>
+</div>
+<p>After training, relaxations can be run by:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>main.py<span class="w"> </span>--mode<span class="w"> </span>run-relaxations<span class="w"> </span>--config-yml<span class="w"> </span>configs/s2ef/2M/schnet/schnet.yml<span class="w"> </span><span class="se">\</span>
+<span class="w">        </span>--checkpoint<span class="w"> </span>checkpoints/<span class="o">[</span>TIMESTAMP<span class="o">]</span>/checkpoint.pt
+</pre></div>
+</div>
+<p>The relaxed structure positions are stored in <code class="docutils literal notranslate"><span class="pre">[RESULTS_DIR]/relaxed_positions.npz</span></code> and later used to create a submission file to be uploaded to EvalAI. Predicted trajectories are stored in <code class="docutils literal notranslate"><span class="pre">trajectories</span></code> directory for those interested in analyzing the complete relaxation trajectory.</p>
+</section>
+<section id="create-evalai-oc20-submission-files">
+<h2>Create EvalAI OC20 submission files<a class="headerlink" href="#create-evalai-oc20-submission-files" title="Link to this heading">#</a></h2>
+<p>EvalAI expects results to be structured in a specific format for a submission to be successful. A submission must contain results from the 4 different splits - in distribution (id), out of distribution adsorbate (ood ads), out of distribution catalyst (ood cat), and out of distribution adsorbate and catalyst (ood both). Constructing the submission file for each of the above tasks is as follows:</p>
+<section id="s2ef-is2re">
+<h3>S2EF/IS2RE:<a class="headerlink" href="#s2ef-is2re" title="Link to this heading">#</a></h3>
+<ol class="arabic">
+<li><p>Run predictions <code class="docutils literal notranslate"><span class="pre">--mode</span> <span class="pre">predict</span></code> on all 4 splits, generating <code class="docutils literal notranslate"><span class="pre">[s2ef/is2re]_predictions.npz</span></code> files for each split.</p></li>
+<li><p>Run the following command:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>make_submission_file.py<span class="w"> </span>--id<span class="w"> </span>path/to/id/file.npz<span class="w"> </span>--ood-ads<span class="w"> </span>path/to/ood_ads/file.npz<span class="w"> </span><span class="se">\</span>
+--ood-cat<span class="w"> </span>path/to/ood_cat/file.npz<span class="w"> </span>--ood-both<span class="w"> </span>path/to/ood_both/file.npz<span class="w"> </span>--out-path<span class="w"> </span>submission_file.npz
+</pre></div>
+</div>
+<p>Where <code class="docutils literal notranslate"><span class="pre">file.npz</span></code> corresponds to the respective <code class="docutils literal notranslate"><span class="pre">[s2ef/is2re]_predictions.npz</span></code> files generated for the corresponding task. The final submission file will be written to <code class="docutils literal notranslate"><span class="pre">submission_file.npz</span></code> (rename accordingly).</p>
+</li>
+<li><p>Upload <code class="docutils literal notranslate"><span class="pre">submission_file.npz</span></code> to EvalAI.</p></li>
+</ol>
+</section>
+<section id="is2rs">
+<h3>IS2RS:<a class="headerlink" href="#is2rs" title="Link to this heading">#</a></h3>
+<ol class="arabic">
+<li><p>Ensure <code class="docutils literal notranslate"><span class="pre">write_pos:</span> <span class="pre">True</span></code> is included in your configuration file. Run relaxations <code class="docutils literal notranslate"><span class="pre">--mode</span> <span class="pre">run-relaxations</span></code> on all 4 splits, generating <code class="docutils literal notranslate"><span class="pre">relaxed_positions.npz</span></code> files for each split.</p></li>
+<li><p>Run the following command:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>make_submission_file.py<span class="w"> </span>--id<span class="w"> </span>path/to/id/relaxed_positions.npz<span class="w"> </span>--ood-ads<span class="w"> </span>path/to/ood_ads/relaxed_positions.npz<span class="w"> </span><span class="se">\</span>
+--ood-cat<span class="w"> </span>path/to/ood_cat/relaxed_positions.npz<span class="w"> </span>--ood-both<span class="w"> </span>path/to/ood_both/relaxed_positions.npz<span class="w"> </span>--out-path<span class="w"> </span>is2rs_submission.npz
+</pre></div>
+</div>
+<p>The final submission file will be written to <code class="docutils literal notranslate"><span class="pre">is2rs_submission.npz</span></code> (rename accordingly).</p>
+</li>
+<li><p>Upload <code class="docutils literal notranslate"><span class="pre">is2rs_submission.npz</span></code> to EvalAI.</p></li>
+</ol>
+</section>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="oc22">
+<h1>OC22<a class="headerlink" href="#oc22" title="Link to this heading">#</a></h1>
+<section id="initial-structure-to-total-relaxed-energy-is2re-total">
+<h2>Initial Structure to Total Relaxed Energy (IS2RE-Total)<a class="headerlink" href="#initial-structure-to-total-relaxed-energy-is2re-total" title="Link to this heading">#</a></h2>
+<p>For the IS2RE-Total task, the model takes the initial structure as input and predicts the total DFT energy of the relaxed structure. This task is more general and more challenging than the original OC20 IS2RE task that predicts adsorption energy.
+To train an OC22 IS2RE-Total model use the <code class="docutils literal notranslate"><span class="pre">OC22LmdbDataset</span></code> by including these lines in your configuration file:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">format</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">oc22_lmdb</span><span class="w"> </span><span class="c1"># Use the OC22LmdbDataset</span>
+<span class="w">  </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+</pre></div>
+</div>
+<p>You can find examples configuration files in <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/src/fairchem/core/configs/oc22/is2re"><code class="docutils literal notranslate"><span class="pre">configs/oc22/is2re</span></code></a>.</p>
+</section>
+<section id="structure-to-total-energy-and-forces-s2ef-total">
+<h2>Structure to Total Energy and Forces (S2EF-Total)<a class="headerlink" href="#structure-to-total-energy-and-forces-s2ef-total" title="Link to this heading">#</a></h2>
+<p>The S2EF-Total task takes a structure and predicts the total DFT energy and per-atom forces. This differs from the
+original OC20 S2EF task because it predicts total energy instead of adsorption energy.
+To train an OC22 S2EF-Total model the OC22LmdbDataset by including these lines in your configuration file:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">format</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">oc22_lmdb</span><span class="w"> </span><span class="c1"># Use the OC22LmdbDataset</span>
+<span class="w">  </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+</pre></div>
+</div>
+<p>You can find examples configuration files in <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/src/fairchem/core/configs/oc22/s2ef"><code class="docutils literal notranslate"><span class="pre">configs/oc22/s2ef</span></code></a>.</p>
+</section>
+<section id="joint-training">
+<h2>Joint Training<a class="headerlink" href="#joint-training" title="Link to this heading">#</a></h2>
+<p>Training on OC20 total energies whether independently or jointly with OC22 requires a path to the <code class="docutils literal notranslate"><span class="pre">oc20_ref</span></code> (download link provided below) to be specified in the configuration file. These are necessary to convert OC20 adsorption energies into their corresponding total energies. The following changes in the configuration file capture these changes:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">format</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">oc22_lmdb</span>
+<span class="w">  </span><span class="l l-Scalar l-Scalar-Plain">...</span>
+
+<span class="nt">dataset</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">train</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">data/oc20+oc22/s2ef/train</span>
+<span class="w">    </span><span class="nt">normalize_labels</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">False</span>
+<span class="w">    </span><span class="nt">train_on_oc20_total_energies</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">    </span><span class="c1">#download at https://dl.fbaipublicfiles.com/opencatalystproject/data/oc22/oc20_ref.pkl</span>
+<span class="w">    </span><span class="nt">oc20_ref</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">path/to/oc20_ref.pkl</span>
+<span class="w">  </span><span class="nt">val</span><span class="p">:</span>
+<span class="w">    </span><span class="nt">src</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">data/oc22/s2ef/val_id</span>
+<span class="w">    </span><span class="nt">train_on_oc20_total_energies</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">True</span>
+<span class="w">    </span><span class="nt">oc20_ref</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">path/to/oc20_ref.pkl</span>
+</pre></div>
+</div>
+<p>You can find an example configuration file at <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/configs/oc22/s2ef/base_joint.yml">configs/oc22/s2ef/base_joint.yml</a></p>
+</section>
+<section id="create-evalai-oc22-submission-files">
+<h2>Create EvalAI OC22 submission files<a class="headerlink" href="#create-evalai-oc22-submission-files" title="Link to this heading">#</a></h2>
+<p>EvalAI expects results to be structured in a specific format for a submission to be successful. A submission must contain results from the 2 different splits - in distribution (id) and out of distribution (ood). Construct submission files for the OC22 S2EF-Total/IS2RE-Total tasks as follows:</p>
+<section id="s2ef-total-is2re-total">
+<h3>S2EF-Total/IS2RE-Total:<a class="headerlink" href="#s2ef-total-is2re-total" title="Link to this heading">#</a></h3>
+<ol class="arabic">
+<li><p>Run predictions <code class="docutils literal notranslate"><span class="pre">--mode</span> <span class="pre">predict</span></code> on both the id and ood splits, generating <code class="docutils literal notranslate"><span class="pre">[s2ef/is2re]_predictions.npz</span></code> files for each split.</p></li>
+<li><p>Run the following command:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>make_submission_file.py<span class="w"> </span>--dataset<span class="w"> </span>OC22<span class="w"> </span>--id<span class="w"> </span>path/to/id/file.npz<span class="w"> </span>--ood<span class="w"> </span>path/to/ood_ads/file.npz<span class="w"> </span>--out-path<span class="w"> </span>submission_file.npz
+</pre></div>
+</div>
+<p>Where <code class="docutils literal notranslate"><span class="pre">file.npz</span></code> corresponds to the respective <code class="docutils literal notranslate"><span class="pre">[s2ef/is2re]_predictions.npz</span></code> files generated for the corresponding task. The final submission file will be written to <code class="docutils literal notranslate"><span class="pre">submission_file.npz</span></code> (rename accordingly). The <code class="docutils literal notranslate"><span class="pre">dataset</span></code> argument specifies which dataset is being considered — this only needs to be set for OC22 predictions because OC20 is the default.</p>
+</li>
+<li><p>Upload <code class="docutils literal notranslate"><span class="pre">submission_file.npz</span></code> to EvalAI.</p></li>
+</ol>
+</section>
+</section>
+</section>
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+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Training and evaluating custom models on OCP datasets</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#getting-started">Getting Started</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#oc20">OC20</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-energy-prediction-is2re">Initial Structure to Relaxed Energy prediction (IS2RE)</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#is2re-relaxations">IS2RE Relaxations</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#training-oc20-models-with-total-energies-is2re-s2ef">Training OC20 models with total energies (IS2RE/S2EF)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#overriding-yaml-config-parameters-from-the-command-line">Overriding YAML config parameters from the command line</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-structure-is2rs">Initial Structure to Relaxed Structure (IS2RS)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#create-evalai-oc20-submission-files">Create EvalAI OC20 submission files</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-is2re">S2EF/IS2RE:</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#is2rs">IS2RS:</a></li>
+</ul>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-total-relaxed-energy-is2re-total">Initial Structure to Total Relaxed Energy (IS2RE-Total)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-total-energy-and-forces-s2ef-total">Structure to Total Energy and Forces (S2EF-Total)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#joint-training">Joint Training</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#create-evalai-oc22-submission-files">Create EvalAI OC22 submission files</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#s2ef-total-is2re-total">S2EF-Total/IS2RE-Total:</a></li>
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+<ul class="current nav bd-sidenav">
+<li class="toctree-l1"><a class="reference external" href="https://open-catalyst.metademolab.com/">OCP Demo (no install required!)</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">ocpapi</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="datasets/omat24.html">Open Materials 2024 (OMat24)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="datasets/ocx24.html">Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models</a></li>
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../tutorials/NRR/NRR_toc.html">Screening catalysts with OCP</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+
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+</ul>
+</details></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../tutorials/advanced/advanced_toc.html">Advanced OCP usage</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/advanced/fine-tuning-in-python.html">Fine-tuning with Python</a></li>
+
+
+
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/advanced/embeddings.html">Working with embeddings</a></li>
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../legacy_tutorials/legacy_tutorials.html">Legacy [deprecated] Tutorials</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+</details></li>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/client/client/index.html">ocpapi.client.client</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/client/ui/index.html">ocpapi.client.ui</a></li>
+</ul>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/adsorbates/index.html">ocpapi.workflows.adsorbates</a></li>
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+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+</ul>
+</details></li>
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+</details></li>
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>ocpapi</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#installation">Installation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quickstart">Quickstart</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#note-about-async-methods">Note about async methods</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#search-over-all-surfaces">Search over all surfaces</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#supported-bulks-and-adsorbates">Supported bulks and adsorbates</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#skip-relaxation-approval-prompts">Skip relaxation approval prompts</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#persisting-results">Persisting results</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#viewing-results-in-the-web-ui">Viewing results in the web UI</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#advanced-usage">Advanced usage</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#changing-the-model-type">Changing the model type</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#converting-to-ase-atoms-objects">Converting to ase.Atoms objects</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#converting-to-other-structure-formats">Converting to other structure formats</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#license">License</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-ocpapi">Citing <code class="docutils literal notranslate"><span class="pre">ocpapi</span></code></a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="ocpapi">
+<h1>ocpapi<a class="headerlink" href="#ocpapi" title="Link to this heading">#</a></h1>
+<p>Python library for programmatic use of the <a class="reference external" href="https://open-catalyst.metademolab.com/">Open Catalyst Demo</a>. Users unfamiliar with the Open Catalyst Demo are encouraged to read more about it before continuing.</p>
+<section id="installation">
+<h2>Installation<a class="headerlink" href="#installation" title="Link to this heading">#</a></h2>
+<p>Ensure you have Python 3.9.1 or newer, and install <code class="docutils literal notranslate"><span class="pre">ocpapi</span></code> using:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%</span><span class="k">sh</span>
+pip install -q ocpapi
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span><span class=" -Color -Color-Red">ERROR: pip&#39;s dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.</span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>fairchem-demo-ocpapi 0.1.dev1+gc162617 requires requests==2.32.3, but you have requests 2.31.0 which is incompatible.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>pymatgen 2025.1.9 requires requests&gt;=2.32, but you have requests 2.31.0 which is incompatible.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="quickstart">
+<h2>Quickstart<a class="headerlink" href="#quickstart" title="Link to this heading">#</a></h2>
+<p>The following examples are used to search for *OH binding sites on Pt surfaces. They use the <code class="docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites</span></code> function, which is a high-level workflow on top of other methods included in this library. Once familiar with this routine, users are encouraged to learn about lower-level methods and features that support more advanced use cases.</p>
+<section id="note-about-async-methods">
+<h3>Note about async methods<a class="headerlink" href="#note-about-async-methods" title="Link to this heading">#</a></h3>
+<p>This package relies heavily on <a class="reference external" href="https://docs.python.org/3/library/asyncio.html">asyncio</a>. The examples throughout this document can be copied to a python repl launched with:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%</span><span class="k">sh</span>
+$ python -m asyncio
+</pre></div>
+</div>
+</div>
+</div>
+<p>Alternatively, an async function can be run in a script by wrapping it with <a class="reference external" href="https://docs.python.org/3/library/asyncio-runner.html#asyncio.run">asyncio.run()</a>:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">asyncio</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.demo.ocpapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">find_adsorbate_binding_sites</span>
+
+<span class="n">asyncio</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">find_adsorbate_binding_sites</span><span class="p">(</span><span class="o">...</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Since this is being evaluated as a jupyter notebook, ipython will handle this for you automatically!</p>
+</section>
+<section id="search-over-all-surfaces">
+<h3>Search over all surfaces<a class="headerlink" href="#search-over-all-surfaces" title="Link to this heading">#</a></h3>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.demo.ocpapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">find_adsorbate_binding_sites</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="k">await</span> <span class="n">find_adsorbate_binding_sites</span><span class="p">(</span>
+    <span class="n">adsorbate</span><span class="o">=</span><span class="s2">&quot;*OH&quot;</span><span class="p">,</span>
+    <span class="n">bulk</span><span class="o">=</span><span class="s2">&quot;mp-126&quot;</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Users will be prompted to select one or more surfaces that should be relaxed.</p>
+<p>Input to this function includes:</p>
+<ul class="simple">
+<li><p>The name of the adsorbate to place</p></li>
+<li><p>A unique ID of the bulk structure from which surfaces will be generated</p></li>
+</ul>
+<p>This function will perform the following steps:</p>
+<ol class="arabic simple">
+<li><p>Enumerate surfaces of the bulk material</p></li>
+<li><p>On each surface, enumerate initial guesses for adorbate binding sites</p></li>
+<li><p>Run local force-based relaxations of each adsorbate placement</p></li>
+</ol>
+<p>In addition, this handles:</p>
+<ul class="simple">
+<li><p>Retrying failed calls to the Open Catalyst Demo API</p></li>
+<li><p>Retrying submission of relaxations when they are rate limited</p></li>
+</ul>
+<p>This should take 2-10 minutes to finish while tens to hundreds (depending on the number of surfaces that are selected) of individual adsorbate placements are relaxed on unique surfaces of Pt. Each of the objects in the returned list includes (among other details):</p>
+<ul class="simple">
+<li><p>Information about the surface being searched, including its structure and Miller indices</p></li>
+<li><p>The initial positions of the adsorbate before relaxation</p></li>
+<li><p>The final structure after relaxation</p></li>
+<li><p>The predicted energy of the final structure</p></li>
+<li><p>The predicted force on each atom in the final structure</p></li>
+</ul>
+</section>
+<section id="supported-bulks-and-adsorbates">
+<h3>Supported bulks and adsorbates<a class="headerlink" href="#supported-bulks-and-adsorbates" title="Link to this heading">#</a></h3>
+<p>A finite set of bulk materials and adsorbates can be referenced by ID throughout the OCP API. The lists of supported values can be viewed in two ways.</p>
+<ol class="arabic simple">
+<li><p>Visit the UI at https://open-catalyst.metademolab.com/demo and explore the lists in Step 1 and Step 3.</p></li>
+<li><p>Use the low-level client that ships with this library:</p></li>
+</ol>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.demo.ocpapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">Client</span>
+
+<span class="n">client</span> <span class="o">=</span> <span class="n">Client</span><span class="p">()</span>
+
+<span class="n">bulks</span> <span class="o">=</span> <span class="k">await</span> <span class="n">client</span><span class="o">.</span><span class="n">get_bulks</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">({</span><span class="n">b</span><span class="o">.</span><span class="n">src_id</span><span class="p">:</span> <span class="n">b</span><span class="o">.</span><span class="n">formula</span> <span class="k">for</span> <span class="n">b</span> <span class="ow">in</span> <span class="n">bulks</span><span class="o">.</span><span class="n">bulks_supported</span><span class="p">})</span>
+
+<span class="n">adsorbates</span> <span class="o">=</span> <span class="k">await</span> <span class="n">client</span><span class="o">.</span><span class="n">get_adsorbates</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">adsorbates</span><span class="o">.</span><span class="n">adsorbates_supported</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="skip-relaxation-approval-prompts">
+<h3>Skip relaxation approval prompts<a class="headerlink" href="#skip-relaxation-approval-prompts" title="Link to this heading">#</a></h3>
+<p>Calls to <code class="docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites()</span></code> will, by default, show the user all pending relaxations and ask for approval before they are submitted. In order to run the relaxations automatically without manual approval, <code class="docutils literal notranslate"><span class="pre">adslab_filter</span></code> can be set to a function that automatically approves any or all adsorbate/slab (adslab) configurations.</p>
+<p>Run relaxations for all slabs that are generated:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.demo.ocpapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">find_adsorbate_binding_sites</span><span class="p">,</span> <span class="n">keep_all_slabs</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="k">await</span> <span class="n">find_adsorbate_binding_sites</span><span class="p">(</span>
+    <span class="n">adsorbate</span><span class="o">=</span><span class="s2">&quot;*OH&quot;</span><span class="p">,</span>
+    <span class="n">bulk</span><span class="o">=</span><span class="s2">&quot;mp-126&quot;</span><span class="p">,</span>
+    <span class="n">adslab_filter</span><span class="o">=</span><span class="n">keep_all_slabs</span><span class="p">(),</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Run relaxations only for slabs with Miller Indices in the input set:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.demo.ocpapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">find_adsorbate_binding_sites</span><span class="p">,</span> <span class="n">keep_slabs_with_miller_indices</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="k">await</span> <span class="n">find_adsorbate_binding_sites</span><span class="p">(</span>
+    <span class="n">adsorbate</span><span class="o">=</span><span class="s2">&quot;*OH&quot;</span><span class="p">,</span>
+    <span class="n">bulk</span><span class="o">=</span><span class="s2">&quot;mp-126&quot;</span><span class="p">,</span>
+    <span class="n">adslab_filter</span><span class="o">=</span><span class="n">keep_slabs_with_miller_indices</span><span class="p">([(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)]),</span>
+<span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">results</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="persisting-results">
+<h3>Persisting results<a class="headerlink" href="#persisting-results" title="Link to this heading">#</a></h3>
+<p><strong>Results should be saved whenever possible in order to avoid expensive recomputation.</strong></p>
+<p>Assuming <code class="docutils literal notranslate"><span class="pre">results</span></code> was generated with the <code class="docutils literal notranslate"><span class="pre">find_adsorbate_binding_sites</span></code> method used above, it is an <code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code> object. This can be saved to file with:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s2">&quot;results.json&quot;</span><span class="p">,</span> <span class="s2">&quot;w&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">results</span><span class="o">.</span><span class="n">to_json</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Similarly, results can be read back from file to an <code class="docutils literal notranslate"><span class="pre">AdsorbateBindingSites</span></code> object with:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.demo.ocpapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">AdsorbateBindingSites</span>
+
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s2">&quot;results.json&quot;</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">results</span> <span class="o">=</span> <span class="n">AdsorbateBindingSites</span><span class="o">.</span><span class="n">from_json</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="viewing-results-in-the-web-ui">
+<h3>Viewing results in the web UI<a class="headerlink" href="#viewing-results-in-the-web-ui" title="Link to this heading">#</a></h3>
+<p>Relaxation results can be viewed in a web UI. For example, https://open-catalyst.metademolab.com/results/7eaa0d63-83aa-473f-ac84-423ffd0c67f5 shows the results of relaxing *OH on a Pt (1,1,1) surface; the uuid, “7eaa0d63-83aa-473f-ac84-423ffd0c67f5”, is referred to as the <code class="docutils literal notranslate"><span class="pre">system_id</span></code>.</p>
+<p>Extending the examples above, the URLs to visualize the results of relaxations on each Pt surface can be obtained with:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">([</span>
+    <span class="n">slab</span><span class="o">.</span><span class="n">ui_url</span>
+    <span class="k">for</span> <span class="n">slab</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">slabs</span>
+<span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="advanced-usage">
+<h2>Advanced usage<a class="headerlink" href="#advanced-usage" title="Link to this heading">#</a></h2>
+<section id="changing-the-model-type">
+<h3>Changing the model type<a class="headerlink" href="#changing-the-model-type" title="Link to this heading">#</a></h3>
+<p>The API currently supports two models:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">equiformer_v2_31M_s2ef_all_md</span></code> (default): https://arxiv.org/abs/2306.12059</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">gemnet_oc_base_s2ef_all_md</span></code>: https://arxiv.org/abs/2204.02782</p></li>
+</ul>
+<p>A specific model type can be requested with:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.demo.ocpapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">find_adsorbate_binding_sites</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="k">await</span> <span class="n">find_adsorbate_binding_sites</span><span class="p">(</span>
+    <span class="n">adsorbate</span><span class="o">=</span><span class="s2">&quot;*OH&quot;</span><span class="p">,</span>
+    <span class="n">bulk</span><span class="o">=</span><span class="s2">&quot;mp-126&quot;</span><span class="p">,</span>
+    <span class="n">model</span><span class="o">=</span><span class="s2">&quot;gemnet_oc_base_s2ef_all_md&quot;</span><span class="p">,</span>
+    <span class="n">adslab_filter</span><span class="o">=</span><span class="n">keep_slabs_with_miller_indices</span><span class="p">([(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)]),</span>
+
+<span class="p">)</span>
+<span class="nb">print</span><span class="p">([</span>
+    <span class="n">slab</span><span class="o">.</span><span class="n">ui_url</span>
+    <span class="k">for</span> <span class="n">slab</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">slabs</span>
+<span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="converting-to-ase-atoms-objects">
+<h3>Converting to <a class="reference external" href="https://wiki.fysik.dtu.dk/ase/ase/atoms.html">ase.Atoms</a> objects<a class="headerlink" href="#converting-to-ase-atoms-objects" title="Link to this heading">#</a></h3>
+<p><strong>Important! The <code class="docutils literal notranslate"><span class="pre">to_ase_atoms()</span></code> method described below will fail with an import error if <a class="reference external" href="https://wiki.fysik.dtu.dk/ase">ase</a> is not installed.</strong></p>
+<p>Two classes have support for generating <a class="reference external" href="https://wiki.fysik.dtu.dk/ase/ase/atoms.html">ase.Atoms</a> objects:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">ocpapi.Atoms.to_ase_atoms()</span></code>: Adds unit cell, atomic positions, and other structural information to the returned <code class="docutils literal notranslate"><span class="pre">ase.Atoms</span></code> object.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">ocpapi.AdsorbateSlabRelaxationResult.to_ase_atoms()</span></code>: Adds the same structure information to the <code class="docutils literal notranslate"><span class="pre">ase.Atoms</span></code> object. Also adds the predicted forces and energy of the relaxed structure, which can be accessed with the <code class="docutils literal notranslate"><span class="pre">ase.Atoms.get_potential_energy()</span></code> and <code class="docutils literal notranslate"><span class="pre">ase.Atoms.get_forces()</span></code> methods.</p></li>
+</ul>
+<p>For example, the following would generate an <code class="docutils literal notranslate"><span class="pre">ase.Atoms</span></code> object for the first relaxed adsorbate configuration on the first slab generated for *OH binding on Pt:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.demo.ocpapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">find_adsorbate_binding_sites</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="k">await</span> <span class="n">find_adsorbate_binding_sites</span><span class="p">(</span>
+    <span class="n">adsorbate</span><span class="o">=</span><span class="s2">&quot;*OH&quot;</span><span class="p">,</span>
+    <span class="n">bulk</span><span class="o">=</span><span class="s2">&quot;mp-126&quot;</span><span class="p">,</span>
+    <span class="n">adslab_filter</span><span class="o">=</span><span class="n">keep_slabs_with_miller_indices</span><span class="p">([(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)]),</span>
+<span class="p">)</span>
+
+<span class="n">ase_atoms</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">slabs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">configs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">to_ase_atoms</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">ase_atoms</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="converting-to-other-structure-formats">
+<h3>Converting to other structure formats<a class="headerlink" href="#converting-to-other-structure-formats" title="Link to this heading">#</a></h3>
+<p>From an <code class="docutils literal notranslate"><span class="pre">ase.Atoms</span></code> object (see previous section), is is possible to <a class="reference external" href="https://wiki.fysik.dtu.dk/ase/ase/io/io.html#ase.io.write">write to other structure formats</a>. Extending the example above, the <code class="docutils literal notranslate"><span class="pre">ase_atoms</span></code> object could be written to a <a class="reference external" href="https://www.vasp.at/wiki/index.php/POSCAR">VASP POSCAR file</a> with:</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.io</span><span class="w"> </span><span class="kn">import</span> <span class="n">write</span>
+
+<span class="n">write</span><span class="p">(</span><span class="s2">&quot;POSCAR&quot;</span><span class="p">,</span> <span class="n">ase_atoms</span><span class="p">,</span> <span class="s2">&quot;vasp&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="license">
+<h2>License<a class="headerlink" href="#license" title="Link to this heading">#</a></h2>
+<p><code class="docutils literal notranslate"><span class="pre">ocpapi</span></code> is released under the <a class="reference internal" href="#LICENSE"><span class="xref myst">MIT License</span></a>.</p>
+</section>
+<section id="citing-ocpapi">
+<h2>Citing <code class="docutils literal notranslate"><span class="pre">ocpapi</span></code><a class="headerlink" href="#citing-ocpapi" title="Link to this heading">#</a></h2>
+<p>If you use <code class="docutils literal notranslate"><span class="pre">ocpapi</span></code> in your research, please consider citing the <a class="reference external" href="https://www.nature.com/articles/s41524-023-01121-5">AdsorbML paper</a> (in addition to the relevant datasets / models used):</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">lan2023adsorbml</span><span class="p">,</span>
+<span class="w">  </span><span class="na">title</span><span class="p">=</span><span class="s">{{AdsorbML}: a leap in efficiency for adsorption energy calculations using generalizable machine learning potentials}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">author</span><span class="p">=</span><span class="s">{Lan*, Janice and Palizhati*, Aini and Shuaibi*, Muhammed and Wood*, Brandon M and Wander, Brook and Das, Abhishek and Uyttendaele, Matt and Zitnick, C Lawrence and Ulissi, Zachary W}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">journal</span><span class="p">=</span><span class="s">{npj Computational Materials}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">year</span><span class="p">=</span><span class="s">{2023}</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
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+    <h1>Studies leveraging pre-trained or fine-tuned FAIR-Chem models</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#accelerating-computational-catalysis">Accelerating computational catalysis</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#transfer-fine-tuning-strategies-for-fair-chem-pre-trained-checkpoints">Transfer/fine-tuning strategies for FAIR-Chem pre-trained checkpoints</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#transfer-fine-tuning-applications-for-fair-chem-pre-trained-checkpoints">Transfer/fine-tuning applications for FAIR-Chem pre-trained checkpoints</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#catalyst-discovery-or-optimization">Catalyst discovery or optimization</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#uncertainty-quantification">Uncertainty quantification</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#properties-beyond-energies-and-forces">Properties beyond energies and forces</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="studies-leveraging-pre-trained-or-fine-tuned-fair-chem-models">
+<h1>Studies leveraging pre-trained or fine-tuned FAIR-Chem models<a class="headerlink" href="#studies-leveraging-pre-trained-or-fine-tuned-fair-chem-models" title="Link to this heading">#</a></h1>
+<p>Many papers have now used FAIR-Chem models to accelerate screening and discovery efforts and enable new computational chemistry simulations. We highlight some here just to give an idea of the breadth of possibilities and how they have been used. Feel free to reach out (or submit PRs) if you want them included!</p>
+<section id="accelerating-computational-catalysis">
+<h2>Accelerating computational catalysis<a class="headerlink" href="#accelerating-computational-catalysis" title="Link to this heading">#</a></h2>
+<div class="docutils container" id="id1">
+<div role="list" class="citation-list">
+<div class="citation" id="id6" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></span>
+<p>Christopher Blais, Chao Xu, and Richard West. Uncertainty quantification of linear scaling, machine learning, and dft derived thermodynamics for the catalytic partial oxidation of methane on rhodium. <em>Chemrxiv</em>, 2024.</p>
+</div>
+<div class="citation" id="id7" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>2<span class="fn-bracket">]</span></span>
+<p>Adeesh Kolluru and John R Kitchin. Adsorbdiff: adsorbate placement via conditional denoising diffusion. <em>arXiv preprint arXiv:2405.03962</em>, 2024.</p>
+</div>
+<div class="citation" id="id4" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>3<span class="fn-bracket">]</span></span>
+<p>Janice Lan, Aini Palizhati, Muhammed Shuaibi, Brandon M Wood, Brook Wander, Abhishek Das, Matt Uyttendaele, C Lawrence Zitnick, and Zachary W Ulissi. Adsorbml: a leap in efficiency for adsorption energy calculations using generalizable machine learning potentials. <em>npj Computational Materials</em>, 9(1):172, 2023.</p>
+</div>
+<div class="citation" id="id5" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>4<span class="fn-bracket">]</span></span>
+<p>Brook Wander, Muhammed Shuaibi, John R Kitchin, Zachary W Ulissi, and C Lawrence Zitnick. Cattsunami: accelerating transition state energy calculations with pre-trained graph neural networks. <em>arXiv preprint arXiv:2405.02078</em>, 2024.</p>
+</div>
+</div>
+</div>
+</section>
+<section id="transfer-fine-tuning-strategies-for-fair-chem-pre-trained-checkpoints">
+<h2>Transfer/fine-tuning strategies for FAIR-Chem pre-trained checkpoints<a class="headerlink" href="#transfer-fine-tuning-strategies-for-fair-chem-pre-trained-checkpoints" title="Link to this heading">#</a></h2>
+<div class="docutils container" id="id30">
+<div role="list" class="citation-list">
+<div class="citation" id="id46" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></span>
+<p>John Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, and Massimiliano Pontil. Transfer learning for atomistic simulations using gnns and kernel mean embeddings. <em>Advances in Neural Information Processing Systems</em>, 2024.</p>
+</div>
+<div class="citation" id="id39" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>2<span class="fn-bracket">]</span></span>
+<p>Adeesh Kolluru, Nima Shoghi, Muhammed Shuaibi, Siddharth Goyal, Abhishek Das, C Lawrence Zitnick, and Zachary Ulissi. Transfer learning using attentions across atomic systems with graph neural networks (taag). <em>The Journal of Chemical Physics</em>, 2022.</p>
+</div>
+<div class="citation" id="id41" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>3<span class="fn-bracket">]</span></span>
+<p>Joseph Musielewicz, Xiaoxiao Wang, Tian Tian, and Zachary Ulissi. Finetuna: fine-tuning accelerated molecular simulations. <em>Machine Learning: Science and Technology</em>, 3(3):03LT01, 2022.</p>
+</div>
+<div class="citation" id="id44" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>4<span class="fn-bracket">]</span></span>
+<p>Kento Nishio, Kiyou Shibata, and Teruyasu Mizoguchi. Lightweight and high-precision materials property prediction using pre-trained graph neural networks and its application to a small dataset. <em>Applied Physics Express</em>, 17(3):037002, 2024.</p>
+</div>
+<div class="citation" id="id42" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>5<span class="fn-bracket">]</span></span>
+<p>Nima Shoghi, Adeesh Kolluru, John R Kitchin, Zachary W Ulissi, C Lawrence Zitnick, and Brandon M Wood. From molecules to materials: pre-training large generalizable models for atomic property prediction. <em>arXiv preprint arXiv:2310.16802</em>, 2023.</p>
+</div>
+<div class="citation" id="id45" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>6<span class="fn-bracket">]</span></span>
+<p>Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, and Pheng-Ann Heng. Dr-label: improving gnn models for catalysis systems by label deconstruction and reconstruction. <em>arXiv preprint arXiv:2303.02875</em>, 2023.</p>
+</div>
+<div class="citation" id="id40" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>7<span class="fn-bracket">]</span></span>
+<p>Xiaoxiao Wang, Joseph Musielewicz, Richard Tran, Sudheesh Kumar Ethirajan, Xiaoyan Fu, Hilda Mera, John R Kitchin, Rachel C Kurchin, and Zachary W Ulissi. Generalization of graph-based active learning relaxation strategies across materials. <em>Machine Learning: Science and Technology</em>, 5(2):025018, 2024.</p>
+</div>
+</div>
+</div>
+</section>
+<section id="transfer-fine-tuning-applications-for-fair-chem-pre-trained-checkpoints">
+<h2>Transfer/fine-tuning applications for FAIR-Chem pre-trained checkpoints<a class="headerlink" href="#transfer-fine-tuning-applications-for-fair-chem-pre-trained-checkpoints" title="Link to this heading">#</a></h2>
+<div class="docutils container" id="id59">
+<div role="list" class="citation-list">
+<div class="citation" id="id66" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></span>
+<p>Christian M Clausen, Jan Rossmeisl, and Zachary W Ulissi. Adapting oc20-trained equiformerv2 models for high-entropy materials. <em>The Journal of Physical Chemistry C</em>, 2024.</p>
+</div>
+<div class="citation" id="id76" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>2<span class="fn-bracket">]</span></span>
+<p>Roman A Eremin, Innokentiy S Humonen, Pavel N Zolotarev, Inna V Medrish, Leonid E Zhukov, and Semen A Budennyy. Hybrid dft/data-driven approach for searching for new quasicrystal approximants in sc-x (x= rh, pd, ir, pt) systems. <em>Crystal Growth &amp; Design</em>, 22(7):4570–4581, 2022.</p>
+</div>
+<div class="citation" id="id67" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>3<span class="fn-bracket">]</span></span>
+<p>Aaron G Garrison, Javier Heras-Domingo, John R Kitchin, Gabriel dos Passos Gomes, Zachary W Ulissi, and Samuel M Blau. Applying large graph neural networks to predict transition metal complex energies using the tmqm_wb97mv data set. <em>Journal of Chemical Information and Modeling</em>, 63(24):7642–7654, 2023.</p>
+</div>
+<div class="citation" id="id72" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>4<span class="fn-bracket">]</span></span>
+<p>Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, and others. $$\backslash $nablaˆ 2$ dft: a universal quantum chemistry dataset of drug-like molecules and a benchmark for neural network potentials. <em>arXiv preprint arXiv:2406.14347</em>, 2024.</p>
+</div>
+</div>
+</div>
+</section>
+<section id="catalyst-discovery-or-optimization">
+<h2>Catalyst discovery or optimization<a class="headerlink" href="#catalyst-discovery-or-optimization" title="Link to this heading">#</a></h2>
+<div class="docutils container" id="id88">
+<div role="list" class="citation-list">
+<div class="citation" id="id106" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></span>
+<p>Abhishek Agarwal, Sriram Goverapet Srinivasan, and Beena Rai. Heusler alloys as catalysts for hydrogen production by ammonia decomposition: data-driven screening via graph neural networks. <em>Chemrxiv</em>, 2024.</p>
+</div>
+<div class="citation" id="id110" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>2<span class="fn-bracket">]</span></span>
+<p>Kirby Broderick, Robert A Burnley, Andrew J Gellman, and John R Kitchin. Surface segregation studies in ternary noble metal alloys: comparing dft and machine learning with experimental data. <em>ChemPhysChem</em>, pages e202400073, 2024.</p>
+</div>
+<div class="citation" id="id108" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>3<span class="fn-bracket">]</span></span>
+<p>Richard Tran, Liqiang Huang, Yuan Zi, Shengguang Wang, Benjamin M Comer, Xuqing Wu, Stefan J Raaijman, Nishant K Sinha, Sajanikumari Sadasivan, Shibin Thundiyil, and others. Rational design of oxide catalysts for oer with oc22. <em>arXiv preprint arXiv:2311.00784</em>, 2023.</p>
+</div>
+<div class="citation" id="id109" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>4<span class="fn-bracket">]</span></span>
+<p>Richard Tran, Duo Wang, Ryan Kingsbury, Aini Palizhati, Kristin Aslaug Persson, Anubhav Jain, and Zachary W Ulissi. Screening of bimetallic electrocatalysts for water purification with machine learning. <em>The Journal of chemical physics</em>, 2022.</p>
+</div>
+<div class="citation" id="id107" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>5<span class="fn-bracket">]</span></span>
+<p>Brook Wander, Kirby Broderick, and Zachary W Ulissi. Catlas: an automated framework for catalyst discovery demonstrated for direct syngas conversion. <em>Catalysis Science &amp; Technology</em>, 12(20):6256–6267, 2022.</p>
+</div>
+</div>
+</div>
+</section>
+<section id="uncertainty-quantification">
+<h2>Uncertainty quantification<a class="headerlink" href="#uncertainty-quantification" title="Link to this heading">#</a></h2>
+<div class="docutils container" id="id117">
+<div role="list" class="citation-list">
+<div class="citation" id="id142" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></span>
+<p>Joseph Musielewicz, Janice Lan, Matt Uyttendaele, and John R. Kitchin. Rotationally invariant latent distances for uncertainty estimation of relaxed energy predictions by graph neural network potentials. 2024. URL: <a class="reference external" href="https://arxiv.org/abs/2407.10844">https://arxiv.org/abs/2407.10844</a>, <a class="reference external" href="https://arxiv.org/abs/2407.10844">arXiv:2407.10844</a>.</p>
+</div>
+<div class="citation" id="id140" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>2<span class="fn-bracket">]</span></span>
+<p>Janghoon Ock, Tian Tian, John Kitchin, and Zachary Ulissi. Beyond independent error assumptions in large gnn atomistic models. <em>The Journal of Chemical Physics</em>, 2023.</p>
+</div>
+<div class="citation" id="id141" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>3<span class="fn-bracket">]</span></span>
+<p>Muhammed Shuaibi, Saurabh Sivakumar, Rui Qi Chen, and Zachary W Ulissi. Enabling robust offline active learning for machine learning potentials using simple physics-based priors. <em>Machine Learning: Science and Technology</em>, 2(2):025007, 2020.</p>
+</div>
+</div>
+</div>
+</section>
+<section id="properties-beyond-energies-and-forces">
+<h2>Properties beyond energies and forces<a class="headerlink" href="#properties-beyond-energies-and-forces" title="Link to this heading">#</a></h2>
+<div class="docutils container" id="id146">
+<div role="list" class="citation-list">
+<div class="citation" id="id174" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></span>
+<p>Xiang Fu, Andrew Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess Smidt, and Tommi Jaakkola. A recipe for charge density prediction. <em>arXiv preprint arXiv:2405.19276</em>, 2024.</p>
+</div>
+<div class="citation" id="id173" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>2<span class="fn-bracket">]</span></span>
+<p>Rohan Yuri Sanspeur and John R Kitchin. Circumventing data imbalance in magnetic ground state data for magnetic moment predictions. <em>Machine Learning: Science and Technology</em>, 5(1):015023, 2024.</p>
+</div>
+<div class="citation" id="id172" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>3<span class="fn-bracket">]</span></span>
+<p>Ethan M Sunshine, Muhammed Shuaibi, Zachary W Ulissi, and John R Kitchin. Chemical properties from graph neural network-predicted electron densities. <em>The Journal of Physical Chemistry C</em>, 127(48):23459–23466, 2023.</p>
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+</div>
+</section>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#accelerating-computational-catalysis">Accelerating computational catalysis</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#transfer-fine-tuning-strategies-for-fair-chem-pre-trained-checkpoints">Transfer/fine-tuning strategies for FAIR-Chem pre-trained checkpoints</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#transfer-fine-tuning-applications-for-fair-chem-pre-trained-checkpoints">Transfer/fine-tuning applications for FAIR-Chem pre-trained checkpoints</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#catalyst-discovery-or-optimization">Catalyst discovery or optimization</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#uncertainty-quantification">Uncertainty quantification</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#properties-beyond-energies-and-forces">Properties beyond energies and forces</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/filter/index.html">ocpapi.workflows.filter</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/log/index.html">ocpapi.workflows.log</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/retry/index.html">ocpapi.workflows.retry</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../autoapi/cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../autoapi/cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Using pre-trained models in ASE</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
+</div>
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+                <article class="bd-article">
+                  
+  <section id="using-pre-trained-models-in-ase">
+<h1>Using pre-trained models in ASE<a class="headerlink" href="#using-pre-trained-models-in-ase" title="Link to this heading">#</a></h1>
+<ol class="arabic simple">
+<li><p>First, install <code class="docutils literal notranslate"><span class="pre">fairchem</span></code> in a fresh python environment using one of the approaches in <a class="reference internal" href="install.html"><span class="doc std std-doc">installation documentation</span></a>.</p></li>
+<li><p>See what pre-trained potentials are available</p></li>
+</ol>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">available_pretrained_models</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">available_pretrained_models</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;CGCNN-S2EF-OC20-200k&#39;, &#39;CGCNN-S2EF-OC20-2M&#39;, &#39;CGCNN-S2EF-OC20-20M&#39;, &#39;CGCNN-S2EF-OC20-All&#39;, &#39;DimeNet-S2EF-OC20-200k&#39;, &#39;DimeNet-S2EF-OC20-2M&#39;, &#39;SchNet-S2EF-OC20-200k&#39;, &#39;SchNet-S2EF-OC20-2M&#39;, &#39;SchNet-S2EF-OC20-20M&#39;, &#39;SchNet-S2EF-OC20-All&#39;, &#39;DimeNet++-S2EF-OC20-200k&#39;, &#39;DimeNet++-S2EF-OC20-2M&#39;, &#39;DimeNet++-S2EF-OC20-20M&#39;, &#39;DimeNet++-S2EF-OC20-All&#39;, &#39;SpinConv-S2EF-OC20-2M&#39;, &#39;SpinConv-S2EF-OC20-All&#39;, &#39;GemNet-dT-S2EF-OC20-2M&#39;, &#39;GemNet-dT-S2EF-OC20-All&#39;, &#39;PaiNN-S2EF-OC20-All&#39;, &#39;GemNet-OC-S2EF-OC20-2M&#39;, &#39;GemNet-OC-S2EF-OC20-All&#39;, &#39;GemNet-OC-S2EF-OC20-All+MD&#39;, &#39;GemNet-OC-Large-S2EF-OC20-All+MD&#39;, &#39;SCN-S2EF-OC20-2M&#39;, &#39;SCN-t4-b2-S2EF-OC20-2M&#39;, &#39;SCN-S2EF-OC20-All+MD&#39;, &#39;eSCN-L4-M2-Lay12-S2EF-OC20-2M&#39;, &#39;eSCN-L6-M2-Lay12-S2EF-OC20-2M&#39;, &#39;eSCN-L6-M2-Lay12-S2EF-OC20-All+MD&#39;, &#39;eSCN-L6-M3-Lay20-S2EF-OC20-All+MD&#39;, &#39;EquiformerV2-83M-S2EF-OC20-2M&#39;, &#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;, &#39;EquiformerV2-153M-S2EF-OC20-All+MD&#39;, &#39;SchNet-S2EF-force-only-OC20-All&#39;, &#39;DimeNet++-force-only-OC20-All&#39;, &#39;DimeNet++-Large-S2EF-force-only-OC20-All&#39;, &#39;DimeNet++-S2EF-force-only-OC20-20M+Rattled&#39;, &#39;DimeNet++-S2EF-force-only-OC20-20M+MD&#39;, &#39;CGCNN-IS2RE-OC20-10k&#39;, &#39;CGCNN-IS2RE-OC20-100k&#39;, &#39;CGCNN-IS2RE-OC20-All&#39;, &#39;DimeNet-IS2RE-OC20-10k&#39;, &#39;DimeNet-IS2RE-OC20-100k&#39;, &#39;DimeNet-IS2RE-OC20-all&#39;, &#39;SchNet-IS2RE-OC20-10k&#39;, &#39;SchNet-IS2RE-OC20-100k&#39;, &#39;SchNet-IS2RE-OC20-All&#39;, &#39;DimeNet++-IS2RE-OC20-10k&#39;, &#39;DimeNet++-IS2RE-OC20-100k&#39;, &#39;DimeNet++-IS2RE-OC20-All&#39;, &#39;PaiNN-IS2RE-OC20-All&#39;, &#39;GemNet-dT-S2EFS-OC22&#39;, &#39;GemNet-OC-S2EFS-OC22&#39;, &#39;GemNet-OC-S2EFS-OC20+OC22&#39;, &#39;GemNet-OC-S2EFS-nsn-OC20+OC22&#39;, &#39;GemNet-OC-S2EFS-OC20-&gt;OC22&#39;, &#39;EquiformerV2-lE4-lF100-S2EFS-OC22&#39;, &#39;SchNet-S2EF-ODAC&#39;, &#39;DimeNet++-S2EF-ODAC&#39;, &#39;PaiNN-S2EF-ODAC&#39;, &#39;GemNet-OC-S2EF-ODAC&#39;, &#39;eSCN-S2EF-ODAC&#39;, &#39;EquiformerV2-S2EF-ODAC&#39;, &#39;EquiformerV2-Large-S2EF-ODAC&#39;, &#39;Gemnet-OC-IS2RE-ODAC&#39;, &#39;eSCN-IS2RE-ODAC&#39;, &#39;EquiformerV2-IS2RE-ODAC&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<ol class="arabic simple" start="3">
+<li><p>Choose a checkpoint you want to use and download it automatically! We’ll use the GemNet-OC potential, trained on both the OC20 and OC22 datasets.</p></li>
+</ol>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EFS-OC20+OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+<span class="n">checkpoint_path</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/fairchem_checkpoints/gnoc_oc22_oc20_all_s2ef.pt&#39;
+</pre></div>
+</div>
+</div>
+</div>
+<ol class="arabic simple" start="4">
+<li><p>Finally, use this checkpoint in an ASE calculator for a simple relaxation!</p></li>
+</ol>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc111</span><span class="p">,</span> <span class="n">add_adsorbate</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.visualize.plot</span><span class="w"> </span><span class="kn">import</span> <span class="n">plot_atoms</span>
+
+<span class="c1"># Define the model atomic system, a Pt(111) slab with an *O adsorbate!</span>
+<span class="n">slab</span> <span class="o">=</span> <span class="n">fcc111</span><span class="p">(</span><span class="s1">&#39;Pt&#39;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">),</span> <span class="n">vacuum</span><span class="o">=</span><span class="mf">10.0</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">position</span><span class="o">=</span><span class="s1">&#39;fcc&#39;</span><span class="p">)</span>
+
+<span class="c1"># Load the pre-trained checkpoint!</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+<span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+
+<span class="c1"># Run the optimization!</span>
+<span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">slab</span><span class="p">)</span>
+<span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+
+<span class="c1"># Visualize the result!</span>
+<span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+<span class="n">plot_atoms</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]);</span>
+<span class="n">plot_atoms</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;-90x&#39;</span><span class="p">))</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/core/checkpoints/2025-01-21-19-37-36
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/core/logs/wandb/2025-01-21-19-37-36
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/core/results/2025-01-21-19-37-36
+  seed: null
+  timestamp_id: 2025-01-21-19-37-36
+  version: 0.1.dev1+gc162617
+dataset:
+  format: oc22_lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  oc20_ref: /checkpoint/janlan/ocp/other_data/final_ref_energies_02_07_2021.pkl
+  raw_energy_target: true
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 1
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 256
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  symmetric_edge_symmetrization: false
+optim:
+  batch_size: 16
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 16
+  eval_every: 5000
+  factor: 0.8
+  force_coefficient: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: atomwisel2
+  lr_initial: 0.0005
+  max_epochs: 80
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+  weight_decay: 0
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 3
+  folder: /checkpoint/abhshkdz/ocp_oct1_logs/57632342
+  gpus_per_node: 8
+  job_id: &#39;57632342&#39;
+  job_name: gnoc_oc22_oc20_all_s2ef
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: ocp,learnaccel
+  time: 4320
+task:
+  dataset: oc22_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded GemNetOC with 38864438 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Overwriting scaling factors with those loaded from checkpoint. If you&#39;re generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3657/3462928393.py:13: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 19:38:13     -110.400406        1.627233
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 19:38:14     -110.542839        0.924819
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 19:38:14     -110.626541        0.568005
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 19:38:15     -110.605003        0.585444
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 19:38:15     -110.652641        0.443063
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 19:38:16     -110.698265        0.369424
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 19:38:16     -110.729652        0.604163
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 19:38:17     -110.766403        0.711393
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 19:38:17     -110.869637        0.512456
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 19:38:17     -110.945900        0.158336
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 19:38:18     -110.976570        0.086625
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 19:38:18     -110.992783        0.074964
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 19:38:19     -111.000832        0.063625
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 19:38:19     -111.000153        0.061604
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 19:38:20     -111.009369        0.058362
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 19:38:20     -111.015068        0.054439
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 19:38:21     -111.019554        0.033223
+</pre></div>
+</div>
+<img alt="../_images/865ab75863cad284b6e394d81ce5383cbe5a649ad6d945149eada83a5aa1c2f3.png" src="../_images/865ab75863cad284b6e394d81ce5383cbe5a649ad6d945149eada83a5aa1c2f3.png" />
+</div>
+</div>
+<p>To learn more about what this simulation means and how it fits into catalysis, see the <a class="reference internal" href="../tutorials/intro.html"><span class="doc std std-doc">catalysis tutorial</span></a>!</p>
+</section>
+
+    <script type="text/x-thebe-config">
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+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Released Datasets &amp; Models</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="core/datasets/oc20.html">Open Catalyst 2020 (OC20)</a></li>
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+<ul class="nav bd-sidenav">
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Model development, training, inference, finetuning</span></p>
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+<li class="toctree-l2"><a class="reference internal" href="tutorials/NRR/NRR_example.html">Using OCP to enumerate adsorbates on alloy catalyst surfaces</a></li>
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+<li class="toctree-l1 has-children"><a class="reference internal" href="tutorials/advanced/advanced_toc.html">Advanced OCP usage</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+</button>
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+</button>
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+      
+    </div>
+  
+</div>
+</div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Notebook execution times</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="notebook-execution-times">
+<h1>Notebook execution times<a class="headerlink" href="#notebook-execution-times" title="Link to this heading">#</a></h1>
+<p>To help with debugging, we also provide the time to execute each of the notebooks in this repo on CPU. This should
+give you an idea how long each one will take to run start-to-finish!</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Document</p></th>
+<th class="head"><p>Modified</p></th>
+<th class="head"><p>Method</p></th>
+<th class="head"><p>Run Time (s)</p></th>
+<th class="head"><p>Status</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="xref doc reference internal" href="core/fine-tuning/fine-tuning-oxides.html"><span class="doc">core/fine-tuning/fine-tuning-oxides</span></a></p></td>
+<td><p>2025-01-21 19:36</p></td>
+<td><p>auto</p></td>
+<td><p>411.64</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="xref doc reference internal" href="core/gotchas.html"><span class="doc">core/gotchas</span></a></p></td>
+<td><p>2025-01-21 19:37</p></td>
+<td><p>auto</p></td>
+<td><p>36.71</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="xref doc reference internal" href="core/inference.html"><span class="doc">core/inference</span></a></p></td>
+<td><p>2025-01-21 19:37</p></td>
+<td><p>auto</p></td>
+<td><p>40.14</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="xref doc reference internal" href="core/lmdb_dataset_creation.html"><span class="doc">core/lmdb_dataset_creation</span></a></p></td>
+<td><p>2025-01-21 19:38</p></td>
+<td><p>auto</p></td>
+<td><p>14.7</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="xref doc reference internal" href="core/ocpapi.html"><span class="doc">core/ocpapi</span></a></p></td>
+<td><p>2025-01-21 19:38</p></td>
+<td><p>auto</p></td>
+<td><p>2.9</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="xref doc reference internal" href="core/quickstart.html"><span class="doc">core/quickstart</span></a></p></td>
+<td><p>2025-01-21 19:38</p></td>
+<td><p>auto</p></td>
+<td><p>17.59</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="xref doc reference internal" href="legacy_tutorials/OCP_Tutorial.html"><span class="doc">legacy_tutorials/OCP_Tutorial</span></a></p></td>
+<td><p>2025-01-21 19:51</p></td>
+<td><p>auto</p></td>
+<td><p>815.19</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="xref doc reference internal" href="legacy_tutorials/data_preprocessing.html"><span class="doc">legacy_tutorials/data_preprocessing</span></a></p></td>
+<td><p>2025-01-21 19:52</p></td>
+<td><p>auto</p></td>
+<td><p>13.55</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="xref doc reference internal" href="legacy_tutorials/data_visualization.html"><span class="doc">legacy_tutorials/data_visualization</span></a></p></td>
+<td><p>2025-01-21 19:53</p></td>
+<td><p>auto</p></td>
+<td><p>54.13</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="xref doc reference internal" href="tutorials/NRR/NRR_example.html"><span class="doc">tutorials/NRR/NRR_example</span></a></p></td>
+<td><p>2025-01-21 20:06</p></td>
+<td><p>auto</p></td>
+<td><p>784.34</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="xref doc reference internal" href="tutorials/OCP-introduction.html"><span class="doc">tutorials/OCP-introduction</span></a></p></td>
+<td><p>2025-01-21 20:10</p></td>
+<td><p>auto</p></td>
+<td><p>268.47</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="xref doc reference internal" href="tutorials/adsorbml_walkthrough.html"><span class="doc">tutorials/adsorbml_walkthrough</span></a></p></td>
+<td><p>2025-01-21 20:18</p></td>
+<td><p>auto</p></td>
+<td><p>484.09</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="xref doc reference internal" href="tutorials/advanced/embeddings.html"><span class="doc">tutorials/advanced/embeddings</span></a></p></td>
+<td><p>2025-01-21 20:20</p></td>
+<td><p>auto</p></td>
+<td><p>109.07</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="xref doc reference internal" href="tutorials/advanced/fine-tuning-in-python.html"><span class="doc">tutorials/advanced/fine-tuning-in-python</span></a></p></td>
+<td><p>2025-01-21 20:24</p></td>
+<td><p>auto</p></td>
+<td><p>218.1</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="xref doc reference internal" href="tutorials/cattsunami_tutorial.html"><span class="doc">tutorials/cattsunami_tutorial</span></a></p></td>
+<td><p>2025-01-21 20:24</p></td>
+<td><p>auto</p></td>
+<td><p>4.02</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="xref doc reference internal" href="tutorials/fairchem_models_for_nebs.html"><span class="doc">tutorials/fairchem_models_for_nebs</span></a></p></td>
+<td><p>2025-01-21 20:24</p></td>
+<td><p>auto</p></td>
+<td><p>0.86</p></td>
+<td><p>✅</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="xref doc reference internal" href="tutorials/intro.html"><span class="doc">tutorials/intro</span></a></p></td>
+<td><p>2025-01-21 20:24</p></td>
+<td><p>auto</p></td>
+<td><p>5.6</p></td>
+<td><p>✅</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+
+    <script type="text/x-thebe-config">
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+<li class="toctree-l1 has-children"><a class="reference internal" href="tutorials/advanced/advanced_toc.html">Advanced OCP usage</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+    <i class="fab fa-github"></i>
+  </button>
+  <ul class="dropdown-menu">
+      
+      
+      
+      <li><a href="https://github.com/FAIR-Chem/fairchem" target="_blank"
+   class="btn btn-sm btn-source-repository-button dropdown-item"
+   title="Source repository"
+   data-bs-placement="left" data-bs-toggle="tooltip"
+>
+  
+
+<span class="btn__icon-container">
+  <i class="fab fa-github"></i>
+  </span>
+<span class="btn__text-container">Repository</span>
+</a>
+</li>
+      
+      
+      
+      
+      <li><a href="https://github.com/FAIR-Chem/fairchem/issues/new?title=Issue%20on%20page%20%2Fgenindex.html&body=Your%20issue%20content%20here." target="_blank"
+   class="btn btn-sm btn-source-issues-button dropdown-item"
+   title="Open an issue"
+   data-bs-placement="left" data-bs-toggle="tooltip"
+>
+  
+
+<span class="btn__icon-container">
+  <i class="fas fa-lightbulb"></i>
+  </span>
+<span class="btn__text-container">Open issue</span>
+</a>
+</li>
+      
+  </ul>
+</div>
+
+
+
+
+<button onclick="toggleFullScreen()"
+  class="btn btn-sm btn-fullscreen-button"
+  title="Fullscreen mode"
+  data-bs-placement="bottom" data-bs-toggle="tooltip"
+>
+  
+
+<span class="btn__icon-container">
+  <i class="fas fa-expand"></i>
+  </span>
+
+</button>
+
+
+
+<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button pst-js-only" aria-label="Color mode" data-bs-title="Color mode"  data-bs-placement="bottom" data-bs-toggle="tooltip">
+  <i class="theme-switch fa-solid fa-sun                fa-lg" data-mode="light" title="Light"></i>
+  <i class="theme-switch fa-solid fa-moon               fa-lg" data-mode="dark"  title="Dark"></i>
+  <i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"  title="System Settings"></i>
+</button>
+
+
+<button class="btn btn-sm pst-navbar-icon search-button search-button__button pst-js-only" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
+</button>
+
+</div></div>
+      
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+  
+</div>
+</div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+
+<h1 id="index">Index</h1>
+
+<div class="genindex-jumpbox">
+ <a href="#_"><strong>_</strong></a>
+ | <a href="#A"><strong>A</strong></a>
+ | <a href="#B"><strong>B</strong></a>
+ | <a href="#C"><strong>C</strong></a>
+ | <a href="#D"><strong>D</strong></a>
+ | <a href="#E"><strong>E</strong></a>
+ | <a href="#F"><strong>F</strong></a>
+ | <a href="#G"><strong>G</strong></a>
+ | <a href="#H"><strong>H</strong></a>
+ | <a href="#I"><strong>I</strong></a>
+ | <a href="#J"><strong>J</strong></a>
+ | <a href="#K"><strong>K</strong></a>
+ | <a href="#L"><strong>L</strong></a>
+ | <a href="#M"><strong>M</strong></a>
+ | <a href="#N"><strong>N</strong></a>
+ | <a href="#O"><strong>O</strong></a>
+ | <a href="#P"><strong>P</strong></a>
+ | <a href="#Q"><strong>Q</strong></a>
+ | <a href="#R"><strong>R</strong></a>
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+ | <a href="#T"><strong>T</strong></a>
+ | <a href="#U"><strong>U</strong></a>
+ | <a href="#V"><strong>V</strong></a>
+ | <a href="#W"><strong>W</strong></a>
+ | <a href="#X"><strong>X</strong></a>
+ | <a href="#Y"><strong>Y</strong></a>
+ | <a href="#Z"><strong>Z</strong></a>
+ 
+</div>
+<h2 id="_">_</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/data/oc/utils/vasp/index.html#data.oc.utils.vasp.__author__">__author__ (in module data.oc.utils.vasp)</a>
+</li>
+      <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.__authors__">__authors__ (in module data.oc.scripts.precompute_sample_structures)</a>
+</li>
+      <li><a href="autoapi/core/_cli/index.html#core._cli.Runner.__call__">__call__() (core._cli.Runner method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/_cli_hydra/index.html#core._cli_hydra.Submitit.__call__">(core._cli_hydra.Submitit method)</a>
+</li>
+        <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.OCPCollater.__call__">(core.common.data_parallel.OCPCollater method)</a>
+</li>
+        <li><a href="autoapi/core/common/transforms/index.html#core.common.transforms.RandomRotate.__call__">(core.common.transforms.RandomRotate method)</a>
+</li>
+        <li><a href="autoapi/core/common/utils/index.html#core.common.utils.Complete.__call__">(core.common.utils.Complete method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.__call__">(core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.__call__">(core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda method)</a>
+</li>
+        <li><a href="autoapi/core/modules/transforms/index.html#core.modules.transforms.DataTransforms.__call__">(core.modules.transforms.DataTransforms method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.keep_all_slabs.__call__">(ocpapi.keep_all_slabs method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.keep_slabs_with_miller_indices.__call__">(ocpapi.keep_slabs_with_miller_indices method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.prompt_for_slabs_to_keep.__call__">(ocpapi.prompt_for_slabs_to_keep method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#ocpapi.workflows.filter.keep_all_slabs.__call__">(ocpapi.workflows.filter.keep_all_slabs method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#ocpapi.workflows.filter.keep_slabs_with_miller_indices.__call__">(ocpapi.workflows.filter.keep_slabs_with_miller_indices method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#ocpapi.workflows.filter.prompt_for_slabs_to_keep.__call__">(ocpapi.workflows.filter.prompt_for_slabs_to_keep method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.keep_all_slabs.__call__">(ocpapi.workflows.keep_all_slabs method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.keep_slabs_with_miller_indices.__call__">(ocpapi.workflows.keep_slabs_with_miller_indices method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.prompt_for_slabs_to_keep.__call__">(ocpapi.workflows.prompt_for_slabs_to_keep method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry._wait_check_retry_after.__call__">(ocpapi.workflows.retry._wait_check_retry_after method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseDBDataset.__del__">__del__() (core.datasets.ase_datasets.AseDBDataset method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseDBDataset.__del__">(core.datasets.AseDBDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.LmdbDataset.__del__">(core.datasets.lmdb_dataset.LmdbDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LmdbDataset.__del__">(core.datasets.LmdbDataset method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.__email__">__email__ (in module data.oc.scripts.precompute_sample_structures)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/vasp/index.html#data.oc.utils.vasp.__email__">(in module data.oc.utils.vasp)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase.__enter__">__enter__() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase.__enter__">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk.__eq__">__eq__() (data.oc.core.Bulk method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk.__eq__">(data.oc.core.bulk.Bulk method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.__eq__">(data.oc.core.Slab method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.__eq__">(data.oc.core.slab.Slab method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase.__exit__">__exit__() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase.__exit__">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.__getitem__">__getitem__() (core.datasets.ase_datasets.AseAtomsDataset method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.LmdbDataset.__getitem__">(core.datasets.lmdb_dataset.LmdbDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LmdbDataset.__getitem__">(core.datasets.LmdbDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__getitem__">(core.datasets.oc22_lmdb_dataset.OC22LmdbDataset method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.__import_error">__import_error() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.BalancedBatchSampler.__iter__">__iter__() (core.common.data_parallel.BalancedBatchSampler method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.StatefulDistributedSampler.__iter__">(core.common.data_parallel.StatefulDistributedSampler method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.__len__">__len__() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.__len__">(core.common.relaxation.optimizable.OptimizableUnitCellBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.__len__">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.__len__">(core.common.relaxation.OptimizableUnitCellBatch method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.BaseDataset.__len__">(core.datasets.base_dataset.BaseDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__len__">(core.datasets.oc22_lmdb_dataset.OC22LmdbDataset method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Adsorbate.__len__">(data.oc.core.Adsorbate method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#data.oc.core.adsorbate.Adsorbate.__len__">(data.oc.core.adsorbate.Adsorbate method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk.__len__">(data.oc.core.Bulk method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk.__len__">(data.oc.core.bulk.Bulk method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Ion.__len__">(data.oc.core.Ion method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/ion/index.html#data.oc.core.ion.Ion.__len__">(data.oc.core.ion.Ion method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.__len__">(data.oc.core.Slab method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.__len__">(data.oc.core.slab.Slab method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Solvent.__len__">(data.oc.core.Solvent method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#data.oc.core.solvent.Solvent.__len__">(data.oc.core.solvent.Solvent method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/transforms/index.html#core.common.transforms.RandomRotate.__repr__">__repr__() (core.common.transforms.RandomRotate method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.__repr__">(core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.__repr__">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.__repr__">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.__repr__">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.__repr__">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/module_list/index.html#core.models.equiformer_v2.module_list.ModuleListInfo.__repr__">(core.models.equiformer_v2.module_list.ModuleListInfo method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.__repr__">(core.models.equiformer_v2.so3.CoefficientMappingModule method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Linear.__repr__">(core.models.equiformer_v2.so3.SO3_Linear method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_LinearV2.__repr__">(core.models.equiformer_v2.so3.SO3_LinearV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.__repr__">(core.models.escn.so3_exportable.CoefficientMapping method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.__repr__">(core.models.painn.PaiNN method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.__repr__">(core.models.painn.painn.PaiNN method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Adsorbate.__repr__">(data.oc.core.Adsorbate method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#data.oc.core.adsorbate.Adsorbate.__repr__">(data.oc.core.adsorbate.Adsorbate method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk.__repr__">(data.oc.core.Bulk method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk.__repr__">(data.oc.core.bulk.Bulk method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.__repr__">(data.oc.core.Slab method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.__repr__">(data.oc.core.slab.Slab method)</a>
+</li>
+        <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.BoxGeometry.__repr__">(data.oc.utils.geometry.BoxGeometry method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Adsorbate.__str__">__str__() (data.oc.core.Adsorbate method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#data.oc.core.adsorbate.Adsorbate.__str__">(data.oc.core.adsorbate.Adsorbate method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk.__str__">(data.oc.core.Bulk method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk.__str__">(data.oc.core.bulk.Bulk method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Ion.__str__">(data.oc.core.Ion method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/ion/index.html#data.oc.core.ion.Ion.__str__">(data.oc.core.ion.Ion method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.__str__">(data.oc.core.Slab method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.__str__">(data.oc.core.slab.Slab method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Solvent.__str__">(data.oc.core.Solvent method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#data.oc.core.solvent.Solvent.__str__">(data.oc.core.solvent.Solvent method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Status.__str__">(ocpapi.client.models.Status method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Status.__str__">(ocpapi.client.Status method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Status.__str__">(ocpapi.Status method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/index.html#cattsunami.__version__">__version__ (in module cattsunami)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/index.html#data.oc.__version__">(in module data.oc)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.__version__">(in module ocpapi)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.ScaledSiLU._activation">_activation (core.models.gemnet.layers.base_layers.ScaledSiLU attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.SiQU._activation">(core.models.gemnet.layers.base_layers.SiQU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.ScaledSiLU._activation">(core.models.gemnet_gp.layers.base_layers.ScaledSiLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.SiQU._activation">(core.models.gemnet_gp.layers.base_layers.SiQU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.ScaledSiLU._activation">(core.models.gemnet_oc.layers.base_layers.ScaledSiLU attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer._aggregate_metrics">_aggregate_metrics() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer._aggregate_metrics">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/client/ui/index.html#ocpapi.client.ui._API_TO_UI_HOSTS">_API_TO_UI_HOSTS (in module ocpapi.client.ui)</a>
+</li>
+      <li><a href="autoapi/core/modules/normalization/element_references/index.html#core.modules.normalization.element_references.LinearReferences._apply_refs">_apply_refs() (core.modules.normalization.element_references.LinearReferences method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2._AVG_DEGREE">_AVG_DEGREE (in module core.models.equiformer_v2.equiformer_v2)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_DEGREE">(in module core.models.equiformer_v2.equiformer_v2_deprecated)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2._AVG_NUM_NODES">_AVG_NUM_NODES (in module core.models.equiformer_v2.equiformer_v2)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated._AVG_NUM_NODES">(in module core.models.equiformer_v2.equiformer_v2_deprecated)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer._backward">_backward() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer._backward">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel._balanced_partition">_balanced_partition() (in module core.common.data_parallel)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client._base_url">_base_url (ocpapi.Client attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client._base_url">(ocpapi.client.Client attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client._base_url">(ocpapi.client.client.Client attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_diag">_batch_diag (core.common.relaxation.optimizable.OptimizableUnitCellBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch._batch_diag">(core.common.relaxation.OptimizableUnitCellBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch._batch_trace">_batch_trace (core.common.relaxation.optimizable.OptimizableUnitCellBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch._batch_trace">(core.common.relaxation.OptimizableUnitCellBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS._batched_dot">_batched_dot() (core.common.relaxation.optimizers.LBFGS method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS._batched_dot">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch._cached_batch">_cached_batch (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch._cached_batch">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor._check_consistency">_check_consistency() (in module core.modules.scaling.scale_factor)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/vasp/index.html#data.oc.utils.vasp._clean_up_inputs">_clean_up_inputs() (in module data.oc.utils.vasp)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_loss">_compute_loss() (core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/ocp_trainer/index.html#core.trainers.ocp_trainer.OCPTrainer._compute_loss">(core.trainers.ocp_trainer.OCPTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.OCPTrainer._compute_loss">(core.trainers.OCPTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer._compute_metrics">_compute_metrics() (core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/ocp_trainer/index.html#core.trainers.ocp_trainer.OCPTrainer._compute_metrics">(core.trainers.ocp_trainer.OCPTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.OCPTrainer._compute_metrics">(core.trainers.OCPTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._CTX_AD_BULK">_CTX_AD_BULK (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._CTX_SLAB">_CTX_SLAB (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils._DATA_PARALLEL_GROUP">_DATA_PARALLEL_GROUP (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models._DataModel">_DataModel (class in ocpapi.client.models)</a>
+</li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.DDPLoss._ddp_mean">_ddp_mean() (core.modules.loss.DDPLoss method)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._DEFAULT_ADSLAB_FILTER">_DEFAULT_ADSLAB_FILTER (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry._wait_check_retry_after._default_wait">_default_wait (ocpapi.workflows.retry._wait_check_retry_after attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._delete_system">_delete_system() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/core/trainers/ocp_trainer/index.html#core.trainers.ocp_trainer.OCPTrainer._denorm_preds">_denorm_preds() (core.trainers.ocp_trainer.OCPTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.OCPTrainer._denorm_preds">(core.trainers.OCPTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.BalancedBatchSampler._dist_enabled">_dist_enabled() (core.common.data_parallel.BalancedBatchSampler static method)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor._enforce_consistency">_enforce_consistency() (core.modules.scaling.scale_factor.ScaleFactor method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor._enforce_consistency">(core.modules.scaling.ScaleFactor method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._ensure_adsorbate_supported">_ensure_adsorbate_supported() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._ensure_model_supported">_ensure_model_supported() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel._ensure_supported">_ensure_supported() (in module core.common.data_parallel)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._ensure_system_deleted">_ensure_system_deleted() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch._eps">_eps (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch._eps">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding._expand_edge">_expand_edge() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding._expand_edge">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._find_combos_to_check">_find_combos_to_check() (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig._find_combos_to_check">(data.oc.core.AdsorbateSlabConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap._forward">_forward() (core.models.dimenet_plus_plus.DimeNetPlusPlusWrap method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap._forward">(core.models.schnet.SchNetWrap method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/ocp_trainer/index.html#core.trainers.ocp_trainer.OCPTrainer._forward">(core.trainers.ocp_trainer.OCPTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.OCPTrainer._forward">(core.trainers.OCPTrainer method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork._forward_helper">_forward_helper() (core.models.scn.scn.SphericalChannelNetwork method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork._forward_helper">(core.models.scn.SphericalChannelNetwork method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding._from_grid">_from_grid() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding._from_grid">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils._gather">_gather() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils._gather_with_padding">_gather_with_padding() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry._get_absolute_mapping">_get_absolute_mapping() (in module core.common.registry)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab">_get_absorbate_configs_on_slab() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._get_absorbate_configs_on_slab_with_logging">_get_absorbate_configs_on_slab_with_logging() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._get_adsorbate_configs_on_slabs">_get_adsorbate_configs_on_slabs() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Adsorbate._get_adsorbate_from_random">_get_adsorbate_from_random() (data.oc.core.Adsorbate method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#data.oc.core.adsorbate.Adsorbate._get_adsorbate_from_random">(data.oc.core.adsorbate.Adsorbate method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk._get_bulk_from_random">_get_bulk_from_random() (data.oc.core.Bulk method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk._get_bulk_from_random">(data.oc.core.bulk.Bulk method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._get_bulk_if_supported">_get_bulk_if_supported() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly._get_connectivity">_get_connectivity() (data.oc.utils.DetectTrajAnomaly method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly._get_connectivity">(data.oc.utils.flag_anomaly.DetectTrajAnomaly method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.BalancedBatchSampler._get_natoms">_get_natoms() (core.common.data_parallel.BalancedBatchSampler method)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs._get_neighbors_pymatgen">_get_neighbors_pymatgen() (core.preprocessing.atoms_to_graphs.AtomsToGraphs method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs._get_neighbors_pymatgen">(core.preprocessing.AtomsToGraphs method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage._get_parameters">_get_parameters() (core.modules.exponential_moving_average.ExponentialMovingAverage method)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils._get_project_root">_get_project_root() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._get_projected_points">_get_projected_points() (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig._get_projected_points">(data.oc.core.AdsorbateSlabConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase._get_row">_get_row() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase._get_row">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase._get_row_by_index">_get_row_by_index() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase._get_row_by_index">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig._get_scaled_normal">_get_scaled_normal() (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig._get_scaled_normal">(data.oc.core.AdsorbateSlabConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._get_slabs">_get_slabs() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer._get_timestamp">_get_timestamp() (core.trainers.base_trainer.BaseTrainer static method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer._get_timestamp">(core.trainers.BaseTrainer static method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils._GRAPH_PARALLEL_GROUP">_GRAPH_PARALLEL_GROUP (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding._grid_act">_grid_act() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding._grid_act">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client._host">_host (ocpapi.Client attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client._host">(ocpapi.client.Client attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client._host">(ocpapi.client.client.Client attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils._import_local_file">_import_local_file() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_edge_rot_mat">_init_edge_rot_mat() (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_edge_rot_mat">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2._init_edge_rot_mat">(core.models.equiformer_v2.EquiformerV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN._init_edge_rot_mat">(core.models.escn.eSCN method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN._init_edge_rot_mat">(core.models.escn.escn.eSCN method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN._init_edge_rot_mat">(core.models.escn.escn_exportable.eSCN method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork._init_edge_rot_mat">(core.models.scn.scn.SphericalChannelNetwork method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork._init_edge_rot_mat">(core.models.scn.SphericalChannelNetwork method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone._init_gp_partitions">_init_gp_partitions() (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_gp_partitions">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2._init_gp_partitions">(core.models.equiformer_v2.EquiformerV2 method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/_cli_hydra/index.html#core._cli_hydra.Submitit._init_logger">_init_logger() (core._cli_hydra.Submitit method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._init_weights">_init_weights() (core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2._init_weights">(core.models.equiformer_v2.EquiformerV2 method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid._initialize">_initialize() (core.models.escn.so3.SO3_Grid method)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger._instance">_instance (core.common.logger.WandBSingletonLogger attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/wigner/index.html#core.models.equiformer_v2.wigner._Jd">_Jd (in module core.models.equiformer_v2.wigner)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3._Jd">(in module core.models.escn.so3)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics._Jd">(in module core.models.scn.spherical_harmonics)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding._l_primary">_l_primary() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding._l_primary">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Adsorbate._load_adsorbate">_load_adsorbate() (data.oc.core.Adsorbate method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#data.oc.core.adsorbate.Adsorbate._load_adsorbate">(data.oc.core.adsorbate.Adsorbate method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/normalization/_load_utils/index.html#core.modules.normalization._load_utils._load_check_duplicates">_load_check_duplicates() (in module core.modules.normalization._load_utils)</a>
+</li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset._load_dataset_get_ids">_load_dataset_get_ids() (core.datasets.ase_datasets.AseAtomsDataset method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseDBDataset._load_dataset_get_ids">(core.datasets.ase_datasets.AseDBDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseReadDataset._load_dataset_get_ids">(core.datasets.ase_datasets.AseReadDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseReadMultiStructureDataset._load_dataset_get_ids">(core.datasets.ase_datasets.AseReadMultiStructureDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseDBDataset._load_dataset_get_ids">(core.datasets.AseDBDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseReadDataset._load_dataset_get_ids">(core.datasets.AseReadDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseReadMultiStructureDataset._load_dataset_get_ids">(core.datasets.AseReadMultiStructureDataset method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/normalization/_load_utils/index.html#core.modules.normalization._load_utils._load_from_config">_load_from_config() (in module core.modules.normalization._load_utils)</a>
+</li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase._load_ids">_load_ids() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase._load_ids">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Ion._load_ion">_load_ion() (data.oc.core.Ion method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/ion/index.html#data.oc.core.ion.Ion._load_ion">(data.oc.core.ion.Ion method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/compat/index.html#core.modules.scaling.compat._load_scale_dict">_load_scale_dict() (in module core.modules.scaling.compat)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Solvent._load_solvent">_load_solvent() (data.oc.core.Solvent method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#data.oc.core.solvent.Solvent._load_solvent">(data.oc.core.solvent.Solvent method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding._m_primary">_m_primary() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding._m_primary">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.BaseDataset._metadata">_metadata (core.datasets.base_dataset.BaseDataset property)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.Subset._metadata">(core.datasets.base_dataset.Subset property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase._nextid">_nextid (core.datasets.lmdb_database.LMDBDatabase property)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase._nextid">(core.datasets.LMDBDatabase property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor._observe">_observe() (core.modules.scaling.scale_factor.ScaleFactor method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor._observe">(core.modules.scaling.ScaleFactor method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage._params_refs">_params_refs (core.modules.exponential_moving_average.ExponentialMovingAverage attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch._predict">_predict() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch._predict">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/fit/index.html#core.modules.scaling.fit._prefilled_input">_prefilled_input() (in module core.modules.scaling.fit)</a>
+</li>
+      <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.TrainTask._process_error">_process_error() (core.tasks.task.TrainTask method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/tasks/index.html#core.tasks.TrainTask._process_error">(core.tasks.TrainTask method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork._rank_edge_distances">_rank_edge_distances() (core.models.scn.scn.SphericalChannelNetwork method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork._rank_edge_distances">(core.models.scn.SphericalChannelNetwork method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry._wait_check_retry_after._rate_limit_logging">_rate_limit_logging (ocpapi.workflows.retry._wait_check_retry_after attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils._reduce">_reduce() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding._reduce_edge">_reduce_edge() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding._reduce_edge">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.DDPLoss._reduction">_reduction() (core.modules.loss.DDPLoss method)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._refresh_pbar">_refresh_pbar() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._relax_binding_sites_on_slabs">_relax_binding_sites_on_slabs() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils._report_incompat_keys">_report_incompat_keys() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs._reshape_features">_reshape_features() (core.preprocessing.atoms_to_graphs.AtomsToGraphs method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs._reshape_features">(core.preprocessing.AtomsToGraphs method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.OCPCalculator._reshaped_props">_reshaped_props (core.common.relaxation.ase_utils.OCPCalculator attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils._resolve_scale_factor_submodule">_resolve_scale_factor_submodule() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding._rotate">_rotate() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding._rotate">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding._rotate_inv">_rotate_inv() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding._rotate_inv">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._run_relaxations_on_slab">_run_relaxations_on_slab() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client._run_request">_run_request() (ocpapi.Client method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client._run_request">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client._run_request">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase._select">_select() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase._select">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._setup_log_record_factory">_setup_log_record_factory() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.prompt_for_slabs_to_keep._sort_key">_sort_key() (ocpapi.prompt_for_slabs_to_keep static method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#ocpapi.workflows.filter.prompt_for_slabs_to_keep._sort_key">(ocpapi.workflows.filter.prompt_for_slabs_to_keep static method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.prompt_for_slabs_to_keep._sort_key">(ocpapi.workflows.prompt_for_slabs_to_keep static method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils._split">_split() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils._split_tensor">_split_tensor() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/initializers/index.html#core.models.gemnet.initializers._standardize">_standardize() (in module core.models.gemnet.initializers)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/initializers/index.html#core.models.gemnet_gp.initializers._standardize">(in module core.models.gemnet_gp.initializers)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/initializers/index.html#core.models.gemnet_oc.initializers._standardize">(in module core.models.gemnet_oc.initializers)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor._Stats">_Stats (class in core.modules.scaling.scale_factor)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._submit_relaxations">_submit_relaxations() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates._submit_relaxations_with_progress_logging">_submit_relaxations_with_progress_logging() (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/core/common/typing/index.html#core.common.typing._T">_T (in module core.common.typing)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/fit/index.html#core.modules.scaling.fit._train_batch">_train_batch() (in module core.modules.scaling.fit)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._uniform_init_linear_weights">_uniform_init_linear_weights() (core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2._uniform_init_linear_weights">(core.models.equiformer_v2.EquiformerV2 method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2._uniform_init_rad_func_linear_weights">_uniform_init_rad_func_linear_weights() (core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2._uniform_init_rad_func_linear_weights">(core.models.equiformer_v2.EquiformerV2 method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.keep_slabs_with_miller_indices._unique_millers">_unique_millers (ocpapi.keep_slabs_with_miller_indices attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#ocpapi.workflows.filter.keep_slabs_with_miller_indices._unique_millers">(ocpapi.workflows.filter.keep_slabs_with_miller_indices attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.keep_slabs_with_miller_indices._unique_millers">(ocpapi.workflows.keep_slabs_with_miller_indices attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer._unwrapped_model">_unwrapped_model (core.trainers.base_trainer.BaseTrainer property)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer._unwrapped_model">(core.trainers.BaseTrainer property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase._update">_update() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase._update">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch._update_mask">_update_mask (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch._update_mask">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry._wait_check_retry_after">_wait_check_retry_after (class in ocpapi.workflows.retry)</a>
+</li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase._write">_write() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase._write">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.StructureGenerator._write_adslabs">_write_adslabs() (data.oc.structure_generator.StructureGenerator method)</a>
+</li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase._write_deleted_ids">_write_deleted_ids() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase._write_deleted_ids">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation._z_rot_mat">_z_rot_mat() (core.models.escn.so3.SO3_Rotation method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/wigner/index.html#core.models.equiformer_v2.wigner._z_rot_mat">(in module core.models.equiformer_v2.wigner)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable._z_rot_mat">(in module core.models.escn.so3_exportable)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics._z_rot_mat">(in module core.models.scn.spherical_harmonics)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="A">A</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.a">a (core.models.gemnet.layers.radial_basis.PolynomialEnvelope attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.a">(core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.a">(core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.a2g">a2g (cattsunami.core.OCPNEB attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.a2g">(cattsunami.core.ocpneb.OCPNEB attribute)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.OCPCalculator.a2g">(core.common.relaxation.ase_utils.OCPCalculator attribute)</a>
+</li>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.a2g">(core.datasets.ase_datasets.AseAtomsDataset attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/utils/activations/index.html#core.models.utils.activations.Act">Act (class in core.models.utils.activations)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.act">act (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.OutputPPBlock.act">(core.models.dimenet_plus_plus.OutputPPBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.S2Activation.act">(core.models.equiformer_v2.activation.S2Activation attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.act">(core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSwiGLU.act">(core.models.equiformer_v2.activation.ScaledSwiGLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SwiGLU.act">(core.models.equiformer_v2.activation.SwiGLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.act">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.act">(core.models.escn.escn.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EnergyBlock.act">(core.models.escn.escn.EnergyBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.act">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.ForceBlock.act">(core.models.escn.escn.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.act">(core.models.escn.escn.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.act">(core.models.escn.escn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.act">(core.models.escn.escn.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.act">(core.models.escn.escn.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.act">(core.models.escn.escn_exportable.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EnergyBlock.act">(core.models.escn.escn_exportable.EnergyBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.act">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.ForceBlock.act">(core.models.escn.escn_exportable.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.act">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.act">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.act">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.act">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.GatedEquivariantBlock.act">(core.models.painn.painn.GatedEquivariantBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.act">(core.models.scn.scn.DistanceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.act">(core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock.act">(core.models.scn.scn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.act">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.SiLUSmearing.act">(core.models.scn.smearing.SiLUSmearing attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.act">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/activations/index.html#core.models.utils.activations.Act.act">(core.models.utils.activations.Act attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.RateLimitLogging.action">action (ocpapi.RateLimitLogging attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.RateLimitLogging.action">(ocpapi.workflows.RateLimitLogging attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry.RateLimitLogging.action">(ocpapi.workflows.retry.RateLimitLogging attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.activation">activation (core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.activation">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.activation_checkpoint">activation_checkpoint (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.activation_checkpoint">(core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2VectorHead.activation_checkpoint">(core.models.equiformer_v2.heads.EqV2VectorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/vector/index.html#core.models.equiformer_v2.heads.vector.EqV2VectorHead.activation_checkpoint">(core.models.equiformer_v2.heads.vector.EqV2VectorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.activation_checkpoint">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.activation_checkpoint">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/flags/index.html#core.common.flags.Flags.add_core_args">add_core_args() (core.common.flags.Flags method)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.add_edge_distance_to_graph">add_edge_distance_to_graph() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_schedule_to_position">add_gaussian_noise_schedule_to_position() (in module core.models.equiformer_v2.trainers.dens_trainer)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.add_gaussian_noise_to_position">add_gaussian_noise_to_position() (in module core.models.equiformer_v2.trainers.dens_trainer)</a>
+</li>
+      <li><a href="autoapi/core/common/slurm/index.html#core.common.slurm.add_timestamp_id_to_submission_pickle">add_timestamp_id_to_submission_pickle() (in module core.common.slurm)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Adsorbate">Adsorbate (class in data.oc.core)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#data.oc.core.adsorbate.Adsorbate">(class in data.oc.core.adsorbate)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.adsorbate">adsorbate (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.adsorbate">(data.oc.core.AdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateBindingSites.adsorbate">(ocpapi.AdsorbateBindingSites attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate">(ocpapi.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate">(ocpapi.client.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate">(ocpapi.client.models.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateBindingSites.adsorbate">(ocpapi.workflows.AdsorbateBindingSites attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateBindingSites.adsorbate">(ocpapi.workflows.adsorbates.AdsorbateBindingSites attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabConfigs.adsorbate_configs">adsorbate_configs (ocpapi.AdsorbateSlabConfigs attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_configs">(ocpapi.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabConfigs.adsorbate_configs">(ocpapi.client.AdsorbateSlabConfigs attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_configs">(ocpapi.client.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabConfigs.adsorbate_configs">(ocpapi.client.models.AdsorbateSlabConfigs attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_configs">(ocpapi.client.models.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Adsorbate.adsorbate_db_path">adsorbate_db_path (data.oc.core.Adsorbate attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#data.oc.core.adsorbate.Adsorbate.adsorbate_db_path">(data.oc.core.adsorbate.Adsorbate attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Adsorbate.adsorbate_id_from_db">adsorbate_id_from_db (data.oc.core.Adsorbate attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#data.oc.core.adsorbate.Adsorbate.adsorbate_id_from_db">(data.oc.core.adsorbate.Adsorbate attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.StructureGenerator.adsorbate_index">adsorbate_index (data.oc.structure_generator.StructureGenerator attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/databases/pkls/index.html#data.oc.databases.pkls.ADSORBATE_PKL_PATH">ADSORBATE_PKL_PATH (in module data.oc.databases.pkls)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsRequest.adsorbate_reaction">adsorbate_reaction (ocpapi.AdsorbateSlabRelaxationsRequest attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsRequest.adsorbate_reaction">(ocpapi.client.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.adsorbate_reaction">(ocpapi.client.models.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateBindingSites">AdsorbateBindingSites (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateBindingSites">(class in ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateBindingSites">(class in ocpapi.workflows.adsorbates)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Adsorbates">Adsorbates (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Adsorbates">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Adsorbates">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.adsorbates">adsorbates (data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.MultipleAdsorbateSlabConfig.adsorbates">(data.oc.core.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Adsorbates.adsorbates_supported">adsorbates_supported (ocpapi.Adsorbates attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Adsorbates.adsorbates_supported">(ocpapi.client.Adsorbates attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Adsorbates.adsorbates_supported">(ocpapi.client.models.Adsorbates attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbatesException">AdsorbatesException</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig">AdsorbateSlabConfig (class in data.oc.core)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig">(class in data.oc.core.adsorbate_slab_config)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabConfigs">AdsorbateSlabConfigs (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabConfigs">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabConfigs">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult">AdsorbateSlabRelaxationResult (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxations">AdsorbateSlabRelaxations (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateSlabRelaxations">(class in ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations">(class in ocpapi.workflows.adsorbates)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsRequest">AdsorbateSlabRelaxationsRequest (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsRequest">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsResults">AdsorbateSlabRelaxationsResults (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsResults">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsResults">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsSystem">AdsorbateSlabRelaxationsSystem (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsSystem">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsSystem">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li>
+    adsorbml.2023_neurips_challenge.challenge_eval
+
+      <ul>
+        <li><a href="autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html#module-adsorbml.2023_neurips_challenge.challenge_eval">module</a>
+</li>
+      </ul></li>
+      <li>
+    adsorbml.scripts.dense_eval
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#module-adsorbml.scripts.dense_eval">module</a>
+</li>
+      </ul></li>
+      <li>
+    adsorbml.scripts.process_mlrs
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/process_mlrs/index.html#module-adsorbml.scripts.process_mlrs">module</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li>
+    adsorbml.scripts.utils
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/utils/index.html#module-adsorbml.scripts.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    adsorbml.scripts.write_top_k_vasp
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/write_top_k_vasp/index.html#module-adsorbml.scripts.write_top_k_vasp">module</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.adsorption_data">adsorption_data (in module data.odac.promising_mof.promising_mof_energies.energy)</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id10">[1]</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id12">[2]</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.adsorption_data_defective">adsorption_data_defective (in module data.odac.promising_mof.promising_mof_energies.energy)</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id11">[1]</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id13">[2]</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.affine">affine (core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.affine">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.affine">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.affine">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.affine_weight">affine_weight (core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.aggregate">aggregate() (core.models.painn.painn.PaiNNMessage method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.all_atoms">all_atoms (core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.ALL_CHANGES">ALL_CHANGES (in module core.common.relaxation.optimizable)</a>
+</li>
+      <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.all_converged">all_converged() (in module cattsunami.run_validation.run_validation)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.all_gather">all_gather() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.all_reduce">all_reduce() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.alpha">alpha (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.alpha">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SmoothLeakyReLU.alpha">(core.models.equiformer_v2.activation.SmoothLeakyReLU attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.alpha_drop">alpha_drop (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.alpha_drop">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.alpha_drop">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.alpha_dropout">alpha_dropout (core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxations.api_host">api_host (ocpapi.AdsorbateSlabRelaxations attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.api_host">(ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateSlabRelaxations.api_host">(ocpapi.workflows.AdsorbateSlabRelaxations attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.apply_one_tags">apply_one_tags() (in module core.datasets.ase_datasets)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrame.are_all_adsorbate_atoms_overlapping">are_all_adsorbate_atoms_overlapping() (cattsunami.core.autoframe.AutoFrame method)</a>
+</li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.StructureGenerator.args">args (data.oc.structure_generator.StructureGenerator attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/process_mlrs/index.html#adsorbml.scripts.process_mlrs.args">(in module adsorbml.scripts.process_mlrs)</a>
+</li>
+        <li><a href="autoapi/core/scripts/download_large_files/index.html#core.scripts.download_large_files.args">(in module core.scripts.download_large_files)</a>
+</li>
+        <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.args">(in module data.oc.structure_generator)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.ASE_PROP_RESHAPE">ASE_PROP_RESHAPE (in module core.common.relaxation.ase_utils)</a>
+</li>
+      <li><a href="autoapi/data/om/omdata/orca/recipes/index.html#data.om.omdata.orca.recipes.ase_relaxation">ase_relaxation() (in module data.om.omdata.orca.recipes)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AseAtomsAdaptor">AseAtomsAdaptor (in module core.preprocessing.atoms_to_graphs)</a>
+</li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset">AseAtomsDataset (class in core.datasets.ase_datasets)</a>
+</li>
+      <li><a href="autoapi/core/datasets/index.html#core.datasets.AseDBDataset">AseDBDataset (class in core.datasets)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseDBDataset">(class in core.datasets.ase_datasets)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/index.html#core.datasets.AseReadDataset">AseReadDataset (class in core.datasets)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseReadDataset">(class in core.datasets.ase_datasets)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/index.html#core.datasets.AseReadMultiStructureDataset">AseReadMultiStructureDataset (class in core.datasets)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseReadMultiStructureDataset">(class in core.datasets.ase_datasets)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/typing/index.html#core.common.typing.assert_is_instance">assert_is_instance() (in module core.common.typing)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.assign_device_for_local_rank">assign_device_for_local_rank() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/basis_utils/index.html#core.models.gemnet.layers.basis_utils.associated_legendre_polynomials">associated_legendre_polynomials() (in module core.models.gemnet.layers.basis_utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/basis_utils/index.html#core.models.gemnet_gp.layers.basis_utils.associated_legendre_polynomials">(in module core.models.gemnet_gp.layers.basis_utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#core.models.gemnet_oc.layers.basis_utils.associated_legendre_polynomials">(in module core.models.gemnet_oc.layers.basis_utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_edge_interaction">atom_edge_interaction (core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.atom_edge_interaction">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.atom_emb">atom_emb (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.atom_emb">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.atom_emb">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.atom_emb">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_emb">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.atom_emb">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.atom_emb">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.atom_emb">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_emb_layers">atom_emb_layers (core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.atom_interaction">atom_interaction (core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.atom_interaction">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.atom_update">atom_update (core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.atom_update">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.atom_update">(core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/embedding_block/index.html#core.models.gemnet.layers.embedding_block.AtomEmbedding">AtomEmbedding (class in core.models.gemnet.layers.embedding_block)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/embedding_block/index.html#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding">(class in core.models.gemnet_gp.layers.embedding_block)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/embedding_block/index.html#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding">(class in core.models.gemnet_oc.layers.embedding_block)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData.atomic_numbers_full">atomic_numbers_full (core.models.base.GraphData attribute)</a>
+</li>
+      <li><a href="autoapi/core/datasets/embeddings/index.html#core.datasets.embeddings.ATOMIC_RADII">ATOMIC_RADII (in module core.datasets.embeddings)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/embeddings/atomic_radii/index.html#core.datasets.embeddings.atomic_radii.ATOMIC_RADII">(in module core.datasets.embeddings.atomic_radii)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Atoms">Atoms (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Atoms">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Atoms">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.atoms">atoms (data.oc.core.Slab attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.atoms">(data.oc.core.slab.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Slab.atoms">(ocpapi.client.models.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Slab.atoms">(ocpapi.client.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Slab.atoms">(ocpapi.Slab attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.atoms_tag">atoms_tag (data.oc.utils.DetectTrajAnomaly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.atoms_tag">(data.oc.utils.flag_anomaly.DetectTrajAnomaly attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.atoms_transform">atoms_transform (core.datasets.ase_datasets.AseAtomsDataset attribute)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs">AtomsToGraphs (class in core.preprocessing)</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs">(class in core.preprocessing.atoms_to_graphs)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock">AtomUpdateBlock (class in core.models.gemnet.layers.atom_update_block)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock">(class in core.models.gemnet_gp.layers.atom_update_block)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock">(class in core.models.gemnet_oc.layers.atom_update_block)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_activation">attn_activation (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_activation">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.attn_activation">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_alpha_channels">attn_alpha_channels (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_alpha_channels">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.attn_alpha_channels">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_alpha_channels">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_hidden_channels">attn_hidden_channels (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_hidden_channels">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.attn_hidden_channels">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.attn_value_channels">attn_value_channels (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.attn_value_channels">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.attn_value_channels">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.attn_value_channels">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrame">AutoFrame (class in cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDesorption">AutoFrameDesorption (class in cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDissociation">AutoFrameDissociation (class in cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameTransfer">AutoFrameTransfer (class in cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/core/models/index.html#core.models.available_pretrained_models">available_pretrained_models (in module core.models)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/model_registry/index.html#core.models.model_registry.available_pretrained_models">(in module core.models.model_registry)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.average_distance_within_threshold">average_distance_within_threshold() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_degree">avg_degree (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_degree">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.avg_degree">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.avg_num_nodes">avg_num_nodes (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.avg_num_nodes">(core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.avg_num_nodes">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.avg_num_nodes">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2ScalarHead.avg_num_nodes">(core.models.equiformer_v2.heads.EqV2ScalarHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.avg_num_nodes">(core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.avg_num_nodes">(core.models.equiformer_v2.heads.Rank2SymmetricTensorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/scalar/index.html#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.avg_num_nodes">(core.models.equiformer_v2.heads.scalar.EqV2ScalarHead attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/transforms/index.html#core.common.transforms.RandomRotate.axes">axes (core.common.transforms.RandomRotate attribute)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="B">B</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.b">b (core.models.gemnet.layers.radial_basis.PolynomialEnvelope attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.b">(core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.b">(core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.BackboneInterface">BackboneInterface (class in core.models.base)</a>
+</li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.PGConfig.backend">backend (core.common.test_utils.PGConfig attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.backoff_factor">backoff_factor (core.models.gemnet_oc.layers.force_scaler.ForceScaler attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.CopyToModelParallelRegion.backward">backward() (core.common.gp_utils.CopyToModelParallelRegion static method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.GatherFromModelParallelRegion.backward">(core.common.gp_utils.GatherFromModelParallelRegion static method)</a>
+</li>
+        <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.ReduceFromModelParallelRegion.backward">(core.common.gp_utils.ReduceFromModelParallelRegion static method)</a>
+</li>
+        <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.ScatterToModelParallelRegion.backward">(core.common.gp_utils.ScatterToModelParallelRegion static method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.BalancedBatchSampler">BalancedBatchSampler (class in core.common.data_parallel)</a>
+</li>
+      <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.barrierless_converged">barrierless_converged() (in module cattsunami.run_validation.run_validation)</a>
+</li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.BaseDataset">BaseDataset (class in core.datasets.base_dataset)</a>
+</li>
+      <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.BaseTask">BaseTask (class in core.tasks.task)</a>
+</li>
+      <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer">BaseTrainer (class in core.trainers)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer">(class in core.trainers.base_trainer)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.Basis">Basis (class in core.models.utils.basis)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.Basis.basis_type">basis_type (core.models.utils.basis.Basis attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.basis_width_scalar">basis_width_scalar (core.models.escn.eSCN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.basis_width_scalar">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.basis_width_scalar">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.basis_width_scalar">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.basis_width_scalar">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.BasisEmbedding">BasisEmbedding (class in core.models.gemnet_oc.layers.efficient)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.batch">batch (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.batch">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData.batch_full">batch_full (core.models.base.GraphData attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.batch_indices">batch_indices (core.common.relaxation.optimizable.OptimizableBatch property)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.batch_indices">(core.common.relaxation.optimizable.OptimizableUnitCellBatch property)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.batch_indices">(core.common.relaxation.OptimizableBatch property)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.batch_indices">(core.common.relaxation.OptimizableUnitCellBatch property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.batch_size">batch_size (cattsunami.core.OCPNEB attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.batch_size">(cattsunami.core.ocpneb.OCPNEB attribute)</a>
+</li>
+        <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.StatefulDistributedSampler.batch_size">(core.common.data_parallel.StatefulDistributedSampler attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.batch_to_atoms">batch_to_atoms() (in module core.common.relaxation.ase_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.BernsteinBasis">BernsteinBasis (class in core.models.gemnet.layers.radial_basis)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis">(class in core.models.gemnet_gp.layers.radial_basis)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis">(class in core.models.gemnet_oc.layers.radial_basis)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/basis_utils/index.html#core.models.gemnet.layers.basis_utils.bessel_basis">bessel_basis() (in module core.models.gemnet.layers.basis_utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/basis_utils/index.html#core.models.gemnet_gp.layers.basis_utils.bessel_basis">(in module core.models.gemnet_gp.layers.basis_utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#core.models.gemnet_oc.layers.basis_utils.bessel_basis">(in module core.models.gemnet_oc.layers.basis_utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.best_val_metric">best_val_metric (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.best_val_metric">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.bias">bias (core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_LinearV2.bias">(core.models.equiformer_v2.so3.SO3_LinearV2 attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.bilinear">bilinear (core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.PairInteraction.bilinear">(core.models.gemnet_oc.layers.interaction_block.PairInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.bin_plot">bin_plot() (in module data.odac.force_field.FF_analysis)</a>
+</li>
+      <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.binned_average">binned_average() (in module data.odac.force_field.FF_analysis)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.block">block (core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.block">(core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.block">(core.models.equiformer_v2.heads.Rank2SymmetricTensorHead attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.blocks">blocks (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.blocks">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.blocks">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.both_barriered">both_barriered() (in module cattsunami.run_validation.run_validation)</a>
+</li>
+      <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.both_barrierless">both_barrierless() (in module cattsunami.run_validation.run_validation)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.BoxGeometry">BoxGeometry (class in data.oc.utils.geometry)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.broadcast">broadcast() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.broadcast_object_list">broadcast_object_list() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.build_config">build_config() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk">Bulk (class in data.oc.core)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk">(class in data.oc.core.bulk)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Bulk">(class in ocpapi)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Bulk">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Bulk">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.bulk">bulk (data.oc.core.Slab attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.bulk">(data.oc.core.slab.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateBindingSites.bulk">(ocpapi.AdsorbateBindingSites attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsRequest.bulk">(ocpapi.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsRequest.bulk">(ocpapi.client.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.bulk">(ocpapi.client.models.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateBindingSites.bulk">(ocpapi.workflows.AdsorbateBindingSites attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateBindingSites.bulk">(ocpapi.workflows.adsorbates.AdsorbateBindingSites attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk.bulk_db_path">bulk_db_path (data.oc.core.Bulk attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk.bulk_db_path">(data.oc.core.bulk.Bulk attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk.bulk_id_from_db">bulk_id_from_db (data.oc.core.Bulk attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk.bulk_id_from_db">(data.oc.core.bulk.Bulk attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.StructureGenerator.bulk_index">bulk_index (data.oc.structure_generator.StructureGenerator attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.BULK_PKL">BULK_PKL (in module data.oc.scripts.precompute_sample_structures)</a>
+</li>
+      <li><a href="autoapi/data/oc/databases/pkls/index.html#data.oc.databases.pkls.BULK_PKL_PATH">BULK_PKL_PATH (in module data.oc.databases.pkls)</a>
+</li>
+      <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.SlabMetadata.bulk_src_id">bulk_src_id (ocpapi.client.models.SlabMetadata attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.SlabMetadata.bulk_src_id">(ocpapi.client.SlabMetadata attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.SlabMetadata.bulk_src_id">(ocpapi.SlabMetadata attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/vasp_flags/index.html#data.oc.utils.vasp_flags.BULK_VASP_FLAGS">BULK_VASP_FLAGS (in module data.oc.utils.vasp_flags)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Bulks">Bulks (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Bulks">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Bulks">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Bulks.bulks_supported">bulks_supported (ocpapi.Bulks attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Bulks.bulks_supported">(ocpapi.client.Bulks attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Bulks.bulks_supported">(ocpapi.client.models.Bulks attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="C">C</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.c">c (core.models.gemnet.layers.radial_basis.PolynomialEnvelope attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.c">(core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.c">(core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.cached">cached (cattsunami.core.OCPNEB attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.cached">(cattsunami.core.ocpneb.OCPNEB attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces">calc_forces() (core.models.gemnet_oc.layers.force_scaler.ForceScaler method)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces_and_update">calc_forces_and_update() (core.models.gemnet_oc.layers.force_scaler.ForceScaler method)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/sampling/index.html#core.models.scn.sampling.CalcSpherePoints">CalcSpherePoints() (in module core.models.scn.sampling)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/sampling/index.html#core.models.scn.sampling.CalcSpherePointsRandom">CalcSpherePointsRandom() (in module core.models.scn.sampling)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.OCPCalculator.calculate">calculate() (core.common.relaxation.ase_utils.OCPCalculator method)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.calculate_center_of_mass">calculate_center_of_mass() (in module data.oc.core.slab)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.calculate_coordination_of_bulk_atoms">calculate_coordination_of_bulk_atoms() (in module data.oc.core.slab)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/utils/index.html#core.models.gemnet.utils.calculate_interatomic_vectors">calculate_interatomic_vectors() (in module core.models.gemnet.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#core.models.gemnet_gp.utils.calculate_interatomic_vectors">(in module core.models.gemnet_gp.utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.calculate_interatomic_vectors">(in module core.models.gemnet_oc.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.calculate_quad_angles">calculate_quad_angles() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.calculate_quad_angles">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/vasp/index.html#data.oc.utils.vasp.calculate_surface_k_points">calculate_surface_k_points() (in module data.oc.utils.vasp)</a>
+</li>
+      <li>
+    cattsunami
+
+      <ul>
+        <li><a href="autoapi/cattsunami/index.html#module-cattsunami">module</a>
+</li>
+      </ul></li>
+      <li>
+    cattsunami.core
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/index.html#module-cattsunami.core">module</a>
+</li>
+      </ul></li>
+      <li>
+    cattsunami.core.autoframe
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/autoframe/index.html#module-cattsunami.core.autoframe">module</a>
+</li>
+      </ul></li>
+      <li>
+    cattsunami.core.ocpneb
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#module-cattsunami.core.ocpneb">module</a>
+</li>
+      </ul></li>
+      <li>
+    cattsunami.core.reaction
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/reaction/index.html#module-cattsunami.core.reaction">module</a>
+</li>
+      </ul></li>
+      <li>
+    cattsunami.databases
+
+      <ul>
+        <li><a href="autoapi/cattsunami/databases/index.html#module-cattsunami.databases">module</a>
+</li>
+      </ul></li>
+      <li>
+    cattsunami.run_validation.run_validation
+
+      <ul>
+        <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#module-cattsunami.run_validation.run_validation">module</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.cbf_basis3">cbf_basis3 (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.cbf_basis3">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cbf_basis3">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.cbf_basis3">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.cell">cell (data.oc.utils.geometry.PlaneBoundTriclinicGeometry attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.cell">(ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Atoms.cell">(ocpapi.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.cell">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Atoms.cell">(ocpapi.client.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.cell">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Atoms.cell">(ocpapi.client.models.Atoms attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.Geometry.cell2planes">cell2planes() (data.oc.utils.geometry.Geometry static method)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.cell_factor">cell_factor (core.common.relaxation.optimizable.OptimizableUnitCellBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.cell_factor">(core.common.relaxation.OptimizableUnitCellBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData.cell_offsets">cell_offsets (core.models.base.GraphData attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.centering">centering (core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2 attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.cg_change_mat">cg_change_mat() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.change_mat">change_mat (core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.check_state">check_state() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.check_state">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.check_traj_files">check_traj_files() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/_cli/index.html#core._cli.Runner.checkpoint">checkpoint() (core._cli.Runner method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/_cli_hydra/index.html#core._cli_hydra.Submitit.checkpoint">(core._cli_hydra.Submitit method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.chem_err">chem_err() (in module data.odac.force_field.FF_analysis)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/spherical_basis/index.html#core.models.gemnet.layers.spherical_basis.CircularBasisLayer">CircularBasisLayer (class in core.models.gemnet.layers.spherical_basis)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/spherical_basis/index.html#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer">(class in core.models.gemnet_gp.layers.spherical_basis)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer">(class in core.models.gemnet_oc.layers.spherical_basis)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.cleanup">cleanup() (in module core.common.distutils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/scripts/download_data/index.html#core.scripts.download_data.cleanup">(in module core.scripts.download_data)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.cleanup_gp">cleanup_gp() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client">Client (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client">(class in ocpapi.client.client)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.clone">clone() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.clone">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase.close">close() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase.close">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.close_db">close_db() (core.datasets.oc22_lmdb_dataset.OC22LmdbDataset method)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.GaussianBasis.coeff">coeff (core.models.gemnet_oc.layers.radial_basis.GaussianBasis attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.GaussianSmearing.coeff">(core.models.scn.smearing.GaussianSmearing attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.LinearSigmoidSmearing.coeff">(core.models.scn.smearing.LinearSigmoidSmearing attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.SigmoidSmearing.coeff">(core.models.scn.smearing.SigmoidSmearing attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.GaussianSmearing.coeff">(core.models.utils.basis.GaussianSmearing attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.coefficient_idx">coefficient_idx() (core.models.equiformer_v2.so3.CoefficientMappingModule method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.coefficient_idx">(core.models.escn.so3.CoefficientMapping method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.coefficient_idx">(core.models.escn.so3_exportable.CoefficientMapping method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping">CoefficientMapping (class in core.models.escn.so3)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping">(class in core.models.escn.so3_exportable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule">CoefficientMappingModule (class in core.models.equiformer_v2.so3)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.collate">collate() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.collected_params">collected_params (core.modules.exponential_moving_average.ExponentialMovingAverage attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.CombineYRotations">CombineYRotations() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.compare_batches">compare_batches() (in module core.common.relaxation.optimizable)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.compile">compile (core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.Complete">Complete (class in core.common.utils)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data">complete_data (in module data.odac.promising_mof.promising_mof_energies.energy)</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id0">[1]</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective">complete_data_merged_defective (in module data.odac.promising_mof.promising_mof_energies.energy)</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id2">[1]</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co2">complete_data_merged_defective_co2 (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads">complete_data_merged_defective_co_ads (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_co_ads_2">complete_data_merged_defective_co_ads_2 (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_defective_h2o">complete_data_merged_defective_h2o (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine">complete_data_merged_pristine (in module data.odac.promising_mof.promising_mof_energies.energy)</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id1">[1]</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co2">complete_data_merged_pristine_co2 (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads">complete_data_merged_pristine_co_ads (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_co_ads_2">complete_data_merged_pristine_co_ads_2 (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.complete_data_merged_pristine_h2o">complete_data_merged_pristine_h2o (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.complex_idx">complex_idx() (core.models.equiformer_v2.so3.CoefficientMappingModule method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.complex_idx">(core.models.escn.so3.CoefficientMapping method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.complex_idx">(core.models.escn.so3_exportable.CoefficientMapping method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.compute_atomwise_denoising_pos_and_force_hybrid_loss">compute_atomwise_denoising_pos_and_force_hybrid_loss() (in module core.models.equiformer_v2.trainers.dens_trainer)</a>
+</li>
+      <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#adsorbml.scripts.dense_eval.compute_hybrid_success">compute_hybrid_success() (in module adsorbml.scripts.dense_eval)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.compute_neighbors">compute_neighbors() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/fit/index.html#core.modules.scaling.fit.compute_scaling_factors">compute_scaling_factors() (in module core.modules.scaling.fit)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.compute_slabs">compute_slabs() (in module data.oc.core.slab)</a>
+</li>
+      <li><a href="autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html#adsorbml.2023_neurips_challenge.challenge_eval.compute_valid_ml_success">compute_valid_ml_success() (in module adsorbml.2023_neurips_challenge.challenge_eval)</a>
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#adsorbml.scripts.dense_eval.compute_valid_ml_success">(in module adsorbml.scripts.dense_eval)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer">concat_layer (core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.concat_layer">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.concat_layer">(core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.conditional_grad">conditional_grad() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/_cli/index.html#core._cli.Runner.config">config (core._cli.Runner attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.Logger.config">(core.common.logger.Logger attribute)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.OCPCalculator.config">(core.common.relaxation.ase_utils.OCPCalculator attribute)</a>
+</li>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.BaseDataset.config">(core.datasets.base_dataset.BaseDataset attribute)</a>
+</li>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.Subset.config">(core.datasets.base_dataset.Subset attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.config">(core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler attribute)</a>
+</li>
+        <li><a href="autoapi/core/modules/scheduler/index.html#core.modules.scheduler.LRScheduler.config">(core.modules.scheduler.LRScheduler attribute)</a>
+</li>
+        <li><a href="autoapi/core/modules/transforms/index.html#core.modules.transforms.DataTransforms.config">(core.modules.transforms.DataTransforms attribute)</a>
+</li>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.BaseTask.config">(core.tasks.task.BaseTask attribute)</a>
+</li>
+        <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.config">(core.trainers.base_trainer.BaseTrainer attribute)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.config">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.config_id">config_id (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.config_id">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.config_id">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsSystem.config_ids">config_ids (ocpapi.AdsorbateSlabRelaxationsSystem attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsSystem.config_ids">(ocpapi.client.AdsorbateSlabRelaxationsSystem attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsSystem.config_ids">(ocpapi.client.models.AdsorbateSlabRelaxationsSystem attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxations.configs">configs (ocpapi.AdsorbateSlabRelaxations attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsResults.configs">(ocpapi.AdsorbateSlabRelaxationsResults attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsResults.configs">(ocpapi.client.AdsorbateSlabRelaxationsResults attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsResults.configs">(ocpapi.client.models.AdsorbateSlabRelaxationsResults attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.configs">(ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateSlabRelaxations.configs">(ocpapi.workflows.AdsorbateSlabRelaxations attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseDBDataset.connect_db">connect_db() (core.datasets.ase_datasets.AseDBDataset static method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseDBDataset.connect_db">(core.datasets.AseDBDataset static method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.LmdbDataset.connect_db">(core.datasets.lmdb_dataset.LmdbDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LmdbDataset.connect_db">(core.datasets.LmdbDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.connect_db">(core.datasets.oc22_lmdb_dataset.OC22LmdbDataset method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.constant_volume">constant_volume (core.common.relaxation.optimizable.OptimizableUnitCellBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.constant_volume">(core.common.relaxation.OptimizableUnitCellBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.UniqueKeyLoader.construct_mapping">construct_mapping() (core.common.utils.UniqueKeyLoader method)</a>
+</li>
+      <li><a href="autoapi/core/datasets/embeddings/index.html#core.datasets.embeddings.CONTINUOUS_EMBEDDINGS">CONTINUOUS_EMBEDDINGS (in module core.datasets.embeddings)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/embeddings/continuous_embeddings/index.html#core.datasets.embeddings.continuous_embeddings.CONTINUOUS_EMBEDDINGS">(in module core.datasets.embeddings.continuous_embeddings)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.converged">converged() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.converged">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.converged_mask">converged_mask (core.common.relaxation.optimizable.OptimizableBatch property)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.converged_mask">(core.common.relaxation.OptimizableBatch property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/adsorbml/scripts/utils/index.html#adsorbml.scripts.utils.converged_oszicar">converged_oszicar() (in module adsorbml.scripts.utils)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert">convert() (core.preprocessing.atoms_to_graphs.AtomsToGraphs method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.convert">(core.preprocessing.AtomsToGraphs method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.convert_all">convert_all() (core.preprocessing.atoms_to_graphs.AtomsToGraphs method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.convert_all">(core.preprocessing.AtomsToGraphs method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/eqv2_to_eqv2_hydra/index.html#core.models.equiformer_v2.eqv2_to_eqv2_hydra.convert_checkpoint_and_config_to_hydra">convert_checkpoint_and_config_to_hydra() (in module core.models.equiformer_v2.eqv2_to_eqv2_hydra)</a>
+</li>
+      <li><a href="autoapi/core/scripts/convert_hydra_to_release/index.html#core.scripts.convert_hydra_to_release.convert_fine_tune_checkpoint">convert_fine_tune_checkpoint() (in module core.scripts.convert_hydra_to_release)</a>
+</li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.copy_to">copy_to() (core.modules.exponential_moving_average.ExponentialMovingAverage method)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.copy_to_model_parallel_region">copy_to_model_parallel_region() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.CopyToModelParallelRegion">CopyToModelParallelRegion (class in core.common.gp_utils)</a>
+</li>
+      <li>
+    core
+
+      <ul>
+        <li><a href="autoapi/core/index.html#module-core">module</a>
+</li>
+      </ul></li>
+      <li>
+    core._cli
+
+      <ul>
+        <li><a href="autoapi/core/_cli/index.html#module-core._cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    core._cli_hydra
+
+      <ul>
+        <li><a href="autoapi/core/_cli_hydra/index.html#module-core._cli_hydra">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common
+
+      <ul>
+        <li><a href="autoapi/core/common/index.html#module-core.common">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.data_parallel
+
+      <ul>
+        <li><a href="autoapi/core/common/data_parallel/index.html#module-core.common.data_parallel">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.distutils
+
+      <ul>
+        <li><a href="autoapi/core/common/distutils/index.html#module-core.common.distutils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.flags
+
+      <ul>
+        <li><a href="autoapi/core/common/flags/index.html#module-core.common.flags">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.gp_utils
+
+      <ul>
+        <li><a href="autoapi/core/common/gp_utils/index.html#module-core.common.gp_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.hpo_utils
+
+      <ul>
+        <li><a href="autoapi/core/common/hpo_utils/index.html#module-core.common.hpo_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.logger
+
+      <ul>
+        <li><a href="autoapi/core/common/logger/index.html#module-core.common.logger">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.profiler_utils
+
+      <ul>
+        <li><a href="autoapi/core/common/profiler_utils/index.html#module-core.common.profiler_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.registry
+
+      <ul>
+        <li><a href="autoapi/core/common/registry/index.html#module-core.common.registry">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.relaxation
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#module-core.common.relaxation">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.relaxation.ase_utils
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#module-core.common.relaxation.ase_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.relaxation.ml_relaxation
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/ml_relaxation/index.html#module-core.common.relaxation.ml_relaxation">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.relaxation.optimizable
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#module-core.common.relaxation.optimizable">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.relaxation.optimizers
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/index.html#module-core.common.relaxation.optimizers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.relaxation.optimizers.lbfgs_torch
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#module-core.common.relaxation.optimizers.lbfgs_torch">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.slurm
+
+      <ul>
+        <li><a href="autoapi/core/common/slurm/index.html#module-core.common.slurm">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.test_utils
+
+      <ul>
+        <li><a href="autoapi/core/common/test_utils/index.html#module-core.common.test_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.transforms
+
+      <ul>
+        <li><a href="autoapi/core/common/transforms/index.html#module-core.common.transforms">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.tutorial_utils
+
+      <ul>
+        <li><a href="autoapi/core/common/tutorial_utils/index.html#module-core.common.tutorial_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.typing
+
+      <ul>
+        <li><a href="autoapi/core/common/typing/index.html#module-core.common.typing">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.common.utils
+
+      <ul>
+        <li><a href="autoapi/core/common/utils/index.html#module-core.common.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.components.runner
+
+      <ul>
+        <li><a href="autoapi/core/components/runner/index.html#module-core.components.runner">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#module-core.datasets">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets._utils
+
+      <ul>
+        <li><a href="autoapi/core/datasets/_utils/index.html#module-core.datasets._utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.ase_datasets
+
+      <ul>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#module-core.datasets.ase_datasets">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.base_dataset
+
+      <ul>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#module-core.datasets.base_dataset">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.embeddings
+
+      <ul>
+        <li><a href="autoapi/core/datasets/embeddings/index.html#module-core.datasets.embeddings">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.embeddings.atomic_radii
+
+      <ul>
+        <li><a href="autoapi/core/datasets/embeddings/atomic_radii/index.html#module-core.datasets.embeddings.atomic_radii">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.embeddings.continuous_embeddings
+
+      <ul>
+        <li><a href="autoapi/core/datasets/embeddings/continuous_embeddings/index.html#module-core.datasets.embeddings.continuous_embeddings">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.embeddings.khot_embeddings
+
+      <ul>
+        <li><a href="autoapi/core/datasets/embeddings/khot_embeddings/index.html#module-core.datasets.embeddings.khot_embeddings">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.embeddings.qmof_khot_embeddings
+
+      <ul>
+        <li><a href="autoapi/core/datasets/embeddings/qmof_khot_embeddings/index.html#module-core.datasets.embeddings.qmof_khot_embeddings">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.lmdb_database
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_database/index.html#module-core.datasets.lmdb_database">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.lmdb_dataset
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#module-core.datasets.lmdb_dataset">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.oc22_lmdb_dataset
+
+      <ul>
+        <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#module-core.datasets.oc22_lmdb_dataset">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.datasets.target_metadata_guesser
+
+      <ul>
+        <li><a href="autoapi/core/datasets/target_metadata_guesser/index.html#module-core.datasets.target_metadata_guesser">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models
+
+      <ul>
+        <li><a href="autoapi/core/models/index.html#module-core.models">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.base
+
+      <ul>
+        <li><a href="autoapi/core/models/base/index.html#module-core.models.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.dimenet_plus_plus
+
+      <ul>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#module-core.models.dimenet_plus_plus">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#module-core.models.equiformer_v2">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.activation
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#module-core.models.equiformer_v2.activation">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.drop
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#module-core.models.equiformer_v2.drop">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.edge_rot_mat
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/edge_rot_mat/index.html#module-core.models.equiformer_v2.edge_rot_mat">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.equiformer_v2
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#module-core.models.equiformer_v2.equiformer_v2">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.equiformer_v2_dens
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#module-core.models.equiformer_v2.equiformer_v2_dens">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.equiformer_v2_deprecated
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#module-core.models.equiformer_v2.equiformer_v2_deprecated">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.eqv2_to_eqv2_hydra
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/eqv2_to_eqv2_hydra/index.html#module-core.models.equiformer_v2.eqv2_to_eqv2_hydra">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.gaussian_rbf
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#module-core.models.equiformer_v2.gaussian_rbf">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.heads
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#module-core.models.equiformer_v2.heads">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.heads.rank2
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#module-core.models.equiformer_v2.heads.rank2">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.heads.scalar
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/scalar/index.html#module-core.models.equiformer_v2.heads.scalar">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.heads.vector
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/vector/index.html#module-core.models.equiformer_v2.heads.vector">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.input_block
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#module-core.models.equiformer_v2.input_block">module</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li>
+    core.models.equiformer_v2.layer_norm
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#module-core.models.equiformer_v2.layer_norm">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.module_list
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/module_list/index.html#module-core.models.equiformer_v2.module_list">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.radial_function
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/radial_function/index.html#module-core.models.equiformer_v2.radial_function">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.so2_ops
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#module-core.models.equiformer_v2.so2_ops">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.so3
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#module-core.models.equiformer_v2.so3">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.trainers
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/index.html#module-core.models.equiformer_v2.trainers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.trainers.dens_trainer
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#module-core.models.equiformer_v2.trainers.dens_trainer">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.trainers.energy_trainer
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/energy_trainer/index.html#module-core.models.equiformer_v2.trainers.energy_trainer">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.trainers.forces_trainer
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/forces_trainer/index.html#module-core.models.equiformer_v2.trainers.forces_trainer">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.trainers.lr_scheduler
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#module-core.models.equiformer_v2.trainers.lr_scheduler">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.transformer_block
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#module-core.models.equiformer_v2.transformer_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.weight_initialization
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/weight_initialization/index.html#module-core.models.equiformer_v2.weight_initialization">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.equiformer_v2.wigner
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/wigner/index.html#module-core.models.equiformer_v2.wigner">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.escn
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/index.html#module-core.models.escn">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.escn.escn
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#module-core.models.escn.escn">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.escn.escn_exportable
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#module-core.models.escn.escn_exportable">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.escn.so3
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#module-core.models.escn.so3">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.escn.so3_exportable
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#module-core.models.escn.so3_exportable">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#module-core.models.gemnet">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.gemnet
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#module-core.models.gemnet.gemnet">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.initializers
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/initializers/index.html#module-core.models.gemnet.initializers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.layers
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/index.html#module-core.models.gemnet.layers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.layers.atom_update_block
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#module-core.models.gemnet.layers.atom_update_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.layers.base_layers
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#module-core.models.gemnet.layers.base_layers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.layers.basis_utils
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/basis_utils/index.html#module-core.models.gemnet.layers.basis_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.layers.efficient
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#module-core.models.gemnet.layers.efficient">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.layers.embedding_block
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/embedding_block/index.html#module-core.models.gemnet.layers.embedding_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.layers.interaction_block
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#module-core.models.gemnet.layers.interaction_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.layers.radial_basis
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#module-core.models.gemnet.layers.radial_basis">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.layers.spherical_basis
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/spherical_basis/index.html#module-core.models.gemnet.layers.spherical_basis">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet.utils
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/utils/index.html#module-core.models.gemnet.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#module-core.models.gemnet_gp">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.gemnet
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#module-core.models.gemnet_gp.gemnet">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.initializers
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/initializers/index.html#module-core.models.gemnet_gp.initializers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.layers
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/index.html#module-core.models.gemnet_gp.layers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.layers.atom_update_block
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#module-core.models.gemnet_gp.layers.atom_update_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.layers.base_layers
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#module-core.models.gemnet_gp.layers.base_layers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.layers.basis_utils
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/basis_utils/index.html#module-core.models.gemnet_gp.layers.basis_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.layers.efficient
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#module-core.models.gemnet_gp.layers.efficient">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.layers.embedding_block
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/embedding_block/index.html#module-core.models.gemnet_gp.layers.embedding_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.layers.interaction_block
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#module-core.models.gemnet_gp.layers.interaction_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.layers.radial_basis
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#module-core.models.gemnet_gp.layers.radial_basis">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.layers.spherical_basis
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/spherical_basis/index.html#module-core.models.gemnet_gp.layers.spherical_basis">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_gp.utils
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#module-core.models.gemnet_gp.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#module-core.models.gemnet_oc">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.gemnet_oc
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#module-core.models.gemnet_oc.gemnet_oc">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.initializers
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/initializers/index.html#module-core.models.gemnet_oc.initializers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.interaction_indices
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/interaction_indices/index.html#module-core.models.gemnet_oc.interaction_indices">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/index.html#module-core.models.gemnet_oc.layers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers.atom_update_block
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#module-core.models.gemnet_oc.layers.atom_update_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers.base_layers
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#module-core.models.gemnet_oc.layers.base_layers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers.basis_utils
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#module-core.models.gemnet_oc.layers.basis_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers.efficient
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#module-core.models.gemnet_oc.layers.efficient">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers.embedding_block
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/embedding_block/index.html#module-core.models.gemnet_oc.layers.embedding_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers.force_scaler
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#module-core.models.gemnet_oc.layers.force_scaler">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers.interaction_block
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#module-core.models.gemnet_oc.layers.interaction_block">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers.radial_basis
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#module-core.models.gemnet_oc.layers.radial_basis">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.layers.spherical_basis
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#module-core.models.gemnet_oc.layers.spherical_basis">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.gemnet_oc.utils
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#module-core.models.gemnet_oc.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.model_registry
+
+      <ul>
+        <li><a href="autoapi/core/models/model_registry/index.html#module-core.models.model_registry">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.painn
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/index.html#module-core.models.painn">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.painn.painn
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/painn/index.html#module-core.models.painn.painn">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.painn.utils
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/utils/index.html#module-core.models.painn.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.schnet
+
+      <ul>
+        <li><a href="autoapi/core/models/schnet/index.html#module-core.models.schnet">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.scn
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#module-core.models.scn">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.scn.sampling
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/sampling/index.html#module-core.models.scn.sampling">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.scn.scn
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/scn/index.html#module-core.models.scn.scn">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.scn.smearing
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#module-core.models.scn.smearing">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.scn.spherical_harmonics
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#module-core.models.scn.spherical_harmonics">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.utils
+
+      <ul>
+        <li><a href="autoapi/core/models/utils/index.html#module-core.models.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.utils.activations
+
+      <ul>
+        <li><a href="autoapi/core/models/utils/activations/index.html#module-core.models.utils.activations">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.models.utils.basis
+
+      <ul>
+        <li><a href="autoapi/core/models/utils/basis/index.html#module-core.models.utils.basis">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules
+
+      <ul>
+        <li><a href="autoapi/core/modules/index.html#module-core.modules">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.evaluator
+
+      <ul>
+        <li><a href="autoapi/core/modules/evaluator/index.html#module-core.modules.evaluator">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.exponential_moving_average
+
+      <ul>
+        <li><a href="autoapi/core/modules/exponential_moving_average/index.html#module-core.modules.exponential_moving_average">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.loss
+
+      <ul>
+        <li><a href="autoapi/core/modules/loss/index.html#module-core.modules.loss">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.normalization
+
+      <ul>
+        <li><a href="autoapi/core/modules/normalization/index.html#module-core.modules.normalization">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.normalization._load_utils
+
+      <ul>
+        <li><a href="autoapi/core/modules/normalization/_load_utils/index.html#module-core.modules.normalization._load_utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.normalization.element_references
+
+      <ul>
+        <li><a href="autoapi/core/modules/normalization/element_references/index.html#module-core.modules.normalization.element_references">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.normalization.normalizer
+
+      <ul>
+        <li><a href="autoapi/core/modules/normalization/normalizer/index.html#module-core.modules.normalization.normalizer">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.scaling
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#module-core.modules.scaling">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.scaling.compat
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/compat/index.html#module-core.modules.scaling.compat">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.scaling.fit
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/fit/index.html#module-core.modules.scaling.fit">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.scaling.scale_factor
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#module-core.modules.scaling.scale_factor">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.scaling.util
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/util/index.html#module-core.modules.scaling.util">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.scheduler
+
+      <ul>
+        <li><a href="autoapi/core/modules/scheduler/index.html#module-core.modules.scheduler">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.modules.transforms
+
+      <ul>
+        <li><a href="autoapi/core/modules/transforms/index.html#module-core.modules.transforms">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.preprocessing
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#module-core.preprocessing">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.preprocessing.atoms_to_graphs
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#module-core.preprocessing.atoms_to_graphs">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts
+
+      <ul>
+        <li><a href="autoapi/core/scripts/index.html#module-core.scripts">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.convert_hydra_to_release
+
+      <ul>
+        <li><a href="autoapi/core/scripts/convert_hydra_to_release/index.html#module-core.scripts.convert_hydra_to_release">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.download_data
+
+      <ul>
+        <li><a href="autoapi/core/scripts/download_data/index.html#module-core.scripts.download_data">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.download_large_files
+
+      <ul>
+        <li><a href="autoapi/core/scripts/download_large_files/index.html#module-core.scripts.download_large_files">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.eqv2_to_hydra_eqv2
+
+      <ul>
+        <li><a href="autoapi/core/scripts/eqv2_to_hydra_eqv2/index.html#module-core.scripts.eqv2_to_hydra_eqv2">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.fit_normalizers
+
+      <ul>
+        <li><a href="autoapi/core/scripts/fit_normalizers/index.html#module-core.scripts.fit_normalizers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.fit_references
+
+      <ul>
+        <li><a href="autoapi/core/scripts/fit_references/index.html#module-core.scripts.fit_references">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.gif_maker_parallelized
+
+      <ul>
+        <li><a href="autoapi/core/scripts/gif_maker_parallelized/index.html#module-core.scripts.gif_maker_parallelized">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.hpo
+
+      <ul>
+        <li><a href="autoapi/core/scripts/hpo/index.html#module-core.scripts.hpo">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.hpo.run_tune
+
+      <ul>
+        <li><a href="autoapi/core/scripts/hpo/run_tune/index.html#module-core.scripts.hpo.run_tune">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.hpo.run_tune_pbt
+
+      <ul>
+        <li><a href="autoapi/core/scripts/hpo/run_tune_pbt/index.html#module-core.scripts.hpo.run_tune_pbt">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.make_challenge_submission_file
+
+      <ul>
+        <li><a href="autoapi/core/scripts/make_challenge_submission_file/index.html#module-core.scripts.make_challenge_submission_file">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.make_lmdb_sizes
+
+      <ul>
+        <li><a href="autoapi/core/scripts/make_lmdb_sizes/index.html#module-core.scripts.make_lmdb_sizes">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.make_submission_file
+
+      <ul>
+        <li><a href="autoapi/core/scripts/make_submission_file/index.html#module-core.scripts.make_submission_file">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.preprocess_ef
+
+      <ul>
+        <li><a href="autoapi/core/scripts/preprocess_ef/index.html#module-core.scripts.preprocess_ef">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.preprocess_relaxed
+
+      <ul>
+        <li><a href="autoapi/core/scripts/preprocess_relaxed/index.html#module-core.scripts.preprocess_relaxed">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.scripts.uncompress
+
+      <ul>
+        <li><a href="autoapi/core/scripts/uncompress/index.html#module-core.scripts.uncompress">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.tasks
+
+      <ul>
+        <li><a href="autoapi/core/tasks/index.html#module-core.tasks">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.tasks.task
+
+      <ul>
+        <li><a href="autoapi/core/tasks/task/index.html#module-core.tasks.task">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.trainers
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#module-core.trainers">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.trainers.base_trainer
+
+      <ul>
+        <li><a href="autoapi/core/trainers/base_trainer/index.html#module-core.trainers.base_trainer">module</a>
+</li>
+      </ul></li>
+      <li>
+    core.trainers.ocp_trainer
+
+      <ul>
+        <li><a href="autoapi/core/trainers/ocp_trainer/index.html#module-core.trainers.ocp_trainer">module</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.corrupt_ratio">corrupt_ratio (core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.cosine_lr_lambda">cosine_lr_lambda() (in module core.models.equiformer_v2.trainers.lr_scheduler)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.cosine_similarity">cosine_similarity() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda">CosineLRLambda (class in core.models.equiformer_v2.trainers.lr_scheduler)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.count">count (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase.count">count() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase.count">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/adsorbml/scripts/utils/index.html#adsorbml.scripts.utils.count_scf">count_scf() (in module adsorbml.scripts.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.counter">counter (core.models.escn.eSCN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.counter">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.counter">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.counter">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.cpu">cpu (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.cpu">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/index.html#core.datasets.create_dataset">create_dataset() (in module core.datasets)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.create_dataset">(in module core.datasets.base_dataset)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.create_dict_from_args">create_dict_from_args() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/modules/normalization/element_references/index.html#core.modules.normalization.element_references.create_element_references">create_element_references() (in module core.modules.normalization.element_references)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.create_grid">create_grid() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.create_interface_on_sites">create_interface_on_sites() (data.oc.core.interface_config.InterfaceConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.create_interface_on_sites">(data.oc.core.InterfaceConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/normalization/normalizer/index.html#core.modules.normalization.normalizer.create_normalizer">create_normalizer() (in module core.modules.normalization.normalizer)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.create_packmol_atoms">create_packmol_atoms() (data.oc.core.interface_config.InterfaceConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.create_packmol_atoms">(data.oc.core.InterfaceConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.CURRENT_DEVICE_STR">CURRENT_DEVICE_STR (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.current_entry">current_entry (in module data.odac.promising_mof.promising_mof_energies.energy)</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id3">[1]</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id4">[2]</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id5">[3]</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id6">[4]</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id7">[5]</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id8">[6]</a>, <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#id9">[7]</a>
+</li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.custom_tile_atoms">custom_tile_atoms() (in module data.oc.core.adsorbate_slab_config)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.cutoff">cutoff (core.models.dimenet_plus_plus.DimeNetPlusPlus attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.cutoff">(core.models.dimenet_plus_plus.DimeNetPlusPlusWrap attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.cutoff">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.cutoff">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.cutoff">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.cutoff">(core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.cutoff">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.cutoff">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.cutoff">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.cutoff">(core.models.gemnet.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.cutoff">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.cutoff">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.cutoff">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.cutoff">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.cutoff">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.cutoff">(core.models.schnet.SchNetWrap attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.cutoff">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.cutoff">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.cutoff_list">cutoff_list (core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="D">D</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.damping">damping (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.damping">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li>
+    data
+
+      <ul>
+        <li><a href="autoapi/data/index.html#module-data">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc
+
+      <ul>
+        <li><a href="autoapi/data/oc/index.html#module-data.oc">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.core
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#module-data.oc.core">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.core.adsorbate
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#module-data.oc.core.adsorbate">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.core.adsorbate_slab_config
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#module-data.oc.core.adsorbate_slab_config">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.core.bulk
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#module-data.oc.core.bulk">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.core.interface_config
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/interface_config/index.html#module-data.oc.core.interface_config">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.core.ion
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/ion/index.html#module-data.oc.core.ion">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.core.multi_adsorbate_slab_config
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#module-data.oc.core.multi_adsorbate_slab_config">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.core.slab
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#module-data.oc.core.slab">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.core.solvent
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#module-data.oc.core.solvent">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.databases
+
+      <ul>
+        <li><a href="autoapi/data/oc/databases/index.html#module-data.oc.databases">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.databases.pkls
+
+      <ul>
+        <li><a href="autoapi/data/oc/databases/pkls/index.html#module-data.oc.databases.pkls">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.databases.update
+
+      <ul>
+        <li><a href="autoapi/data/oc/databases/update/index.html#module-data.oc.databases.update">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.experimental.get_energies
+
+      <ul>
+        <li><a href="autoapi/data/oc/experimental/get_energies/index.html#module-data.oc.experimental.get_energies">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.experimental.merge_traj
+
+      <ul>
+        <li><a href="autoapi/data/oc/experimental/merge_traj/index.html#module-data.oc.experimental.merge_traj">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.experimental.perturb_systems
+
+      <ul>
+        <li><a href="autoapi/data/oc/experimental/perturb_systems/index.html#module-data.oc.experimental.perturb_systems">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.experimental.rattle_test
+
+      <ul>
+        <li><a href="autoapi/data/oc/experimental/rattle_test/index.html#module-data.oc.experimental.rattle_test">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.experimental.utils
+
+      <ul>
+        <li><a href="autoapi/data/oc/experimental/utils/index.html#module-data.oc.experimental.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.scripts.precompute_sample_structures
+
+      <ul>
+        <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#module-data.oc.scripts.precompute_sample_structures">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.structure_generator
+
+      <ul>
+        <li><a href="autoapi/data/oc/structure_generator/index.html#module-data.oc.structure_generator">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.utils
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/index.html#module-data.oc.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.utils.flag_anomaly
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#module-data.oc.utils.flag_anomaly">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.utils.geometry
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/geometry/index.html#module-data.oc.utils.geometry">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.utils.vasp
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/vasp/index.html#module-data.oc.utils.vasp">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.oc.utils.vasp_flags
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/vasp_flags/index.html#module-data.oc.utils.vasp_flags">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.odac
+
+      <ul>
+        <li><a href="autoapi/data/odac/index.html#module-data.odac">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.odac.force_field.FF_analysis
+
+      <ul>
+        <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#module-data.odac.force_field.FF_analysis">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.odac.promising_mof.promising_mof_energies.energy
+
+      <ul>
+        <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#module-data.odac.promising_mof.promising_mof_energies.energy">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.odac.setup_vasp
+
+      <ul>
+        <li><a href="autoapi/data/odac/setup_vasp/index.html#module-data.odac.setup_vasp">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.om
+
+      <ul>
+        <li><a href="autoapi/data/om/index.html#module-data.om">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.om.biomolecules.geom.sample_geom_drugs
+
+      <ul>
+        <li><a href="autoapi/data/om/biomolecules/geom/sample_geom_drugs/index.html#module-data.om.biomolecules.geom.sample_geom_drugs">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.om.biomolecules.geom.write_geom_drugs_structures
+
+      <ul>
+        <li><a href="autoapi/data/om/biomolecules/geom/write_geom_drugs_structures/index.html#module-data.om.biomolecules.geom.write_geom_drugs_structures">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.om.omdata.orca
+
+      <ul>
+        <li><a href="autoapi/data/om/omdata/orca/index.html#module-data.om.omdata.orca">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.om.omdata.orca.calc
+
+      <ul>
+        <li><a href="autoapi/data/om/omdata/orca/calc/index.html#module-data.om.omdata.orca.calc">module</a>
+</li>
+      </ul></li>
+      <li>
+    data.om.omdata.orca.recipes
+
+      <ul>
+        <li><a href="autoapi/data/om/omdata/orca/recipes/index.html#module-data.om.omdata.orca.recipes">module</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.data2train">data2train (core.datasets.oc22_lmdb_dataset.OC22LmdbDataset attribute)</a>
+</li>
+      <li><a href="autoapi/core/datasets/index.html#core.datasets.data_list_collater">data_list_collater() (in module core.datasets)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.data_list_collater">(in module core.datasets.lmdb_dataset)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/transforms/index.html#core.modules.transforms.DataTransforms">DataTransforms (class in core.modules.transforms)</a>
+</li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.DDPLoss">DDPLoss (class in core.modules.loss)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.debug_log_entry_exit">debug_log_entry_exit() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.decay">decay (core.modules.exponential_moving_average.ExponentialMovingAverage attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.decompose">decompose (core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.decompose">(core.models.equiformer_v2.heads.Rank2SymmetricTensorHead attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/transforms/index.html#core.modules.transforms.decompose_tensor">decompose_tensor() (in module core.modules.transforms)</a>
+</li>
+      <li><a href="autoapi/core/scripts/uncompress/index.html#core.scripts.uncompress.decompress_list_of_files">decompress_list_of_files() (in module core.scripts.uncompress)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.def_counts_df">def_counts_df (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.DEFAULT_CLIENT">DEFAULT_CLIENT (in module ocpapi.workflows.adsorbates)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.DEFAULT_ENV_VARS">DEFAULT_ENV_VARS (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.deform_grad">deform_grad() (core.common.relaxation.optimizable.OptimizableUnitCellBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.deform_grad">(core.common.relaxation.OptimizableUnitCellBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/transforms/index.html#core.common.transforms.RandomRotate.degrees">degrees (core.common.transforms.RandomRotate attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Lifetime.DELETE">DELETE (ocpapi.Lifetime attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.Lifetime.DELETE">(ocpapi.workflows.adsorbates.Lifetime attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.Lifetime.DELETE">(ocpapi.workflows.Lifetime attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase.delete">delete() (core.datasets.lmdb_database.LMDBDatabase method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase.delete">(core.datasets.LMDBDatabase method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.delete_adsorbate_slab_relaxations">delete_adsorbate_slab_relaxations() (ocpapi.Client method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.delete_adsorbate_slab_relaxations">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.delete_adsorbate_slab_relaxations">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase.deleted_ids">deleted_ids (core.datasets.lmdb_database.LMDBDatabase attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase.deleted_ids">(core.datasets.LMDBDatabase attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.denoising_pos_block">denoising_pos_block (core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.denoising_pos_coefficient">denoising_pos_coefficient (core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.denoising_pos_eval">denoising_pos_eval() (in module core.models.equiformer_v2.trainers.dens_trainer)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_pos_params">denoising_pos_params (core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.denoising_targets">denoising_targets (core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer property)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer">DenoisingForcesTrainer (class in core.models.equiformer_v2.trainers.dens_trainer)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams">DenoisingPosParams (class in core.models.equiformer_v2.trainers.dens_trainer)</a>
+</li>
+      <li><a href="autoapi/core/modules/normalization/normalizer/index.html#core.modules.normalization.normalizer.Normalizer.denorm">denorm() (core.modules.normalization.normalizer.Normalizer method)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.Dense">Dense (class in core.models.gemnet.layers.base_layers)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.Dense">(class in core.models.gemnet_gp.layers.base_layers)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.Dense">(class in core.models.gemnet_oc.layers.base_layers)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/embedding_block/index.html#core.models.gemnet.layers.embedding_block.EdgeEmbedding.dense">dense (core.models.gemnet.layers.embedding_block.EdgeEmbedding attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/embedding_block/index.html#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.dense">(core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/embedding_block/index.html#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.dense">(core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.dense_ba">dense_ba (core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.dense_ba">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.dense_ba">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca">dense_ca (core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.dense_ca">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.dense_ca">(core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.dense_db">dense_db (core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.ResidualLayer.dense_mlp">dense_mlp (core.models.gemnet.layers.base_layers.ResidualLayer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.ResidualLayer.dense_mlp">(core.models.gemnet_gp.layers.base_layers.ResidualLayer attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.ResidualLayer.dense_mlp">(core.models.gemnet_oc.layers.base_layers.ResidualLayer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.dense_rbf">dense_rbf (core.models.gemnet.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.dense_rbf">(core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.dense_rbf">(core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.dense_rbf_F">dense_rbf_F (core.models.gemnet_gp.layers.atom_update_block.OutputBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head">DeNSRank2Head (class in core.models.equiformer_v2.equiformer_v2_dens)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead">DeNSScalarHead (class in core.models.equiformer_v2.equiformer_v2_dens)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead">DeNSVectorHead (class in core.models.equiformer_v2.equiformer_v2_dens)</a>
+</li>
+      <li><a href="autoapi/core/modules/normalization/element_references/index.html#core.modules.normalization.element_references.LinearReferences.dereference">dereference() (core.modules.normalization.element_references.LinearReferences method)</a>
+</li>
+      <li><a href="autoapi/core/common/tutorial_utils/index.html#core.common.tutorial_utils.describe_fairchem">describe_fairchem() (in module core.common.tutorial_utils)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.desorption_cutoff_multiplier">desorption_cutoff_multiplier (data.oc.utils.DetectTrajAnomaly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.desorption_cutoff_multiplier">(data.oc.utils.flag_anomaly.DetectTrajAnomaly attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/adsorbml/scripts/process_mlrs/index.html#adsorbml.scripts.process_mlrs.DESORPTION_CUTOFF_MULTIPLIER">DESORPTION_CUTOFF_MULTIPLIER (in module adsorbml.scripts.process_mlrs)</a>
+</li>
+      <li><a href="autoapi/cattsunami/databases/index.html#cattsunami.databases.DESORPTION_REACTION_DB_PATH">DESORPTION_REACTION_DB_PATH (in module cattsunami.databases)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly">DetectTrajAnomaly (class in data.oc.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly">(class in data.oc.utils.flag_anomaly)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.determine_step">determine_step() (core.common.relaxation.optimizers.LBFGS method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.determine_step">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.BalancedBatchSampler.device">device (core.common.data_parallel.BalancedBatchSampler attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.device">(core.common.relaxation.optimizable.OptimizableBatch property)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.device">(core.common.relaxation.OptimizableBatch property)</a>
+</li>
+        <li><a href="autoapi/core/models/base/index.html#core.models.base.HydraModel.device">(core.models.base.HydraModel attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.device">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.device">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.device">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.device">(core.models.equiformer_v2.so3.CoefficientMappingModule attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.device">(core.models.equiformer_v2.so3.SO3_Embedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.device">(core.models.escn.so3.CoefficientMapping attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.device">(core.models.escn.so3.SO3_Embedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation.device">(core.models.escn.so3.SO3_Rotation attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.dict_set_recursively">dict_set_recursively() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus">DimeNetPlusPlus (class in core.models.dimenet_plus_plus)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap">DimeNetPlusPlusWrap (class in core.models.dimenet_plus_plus)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone">DimeNetPlusPlusWrapBackbone (class in core.models.dimenet_plus_plus)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead">DimeNetPlusPlusWrapEnergyAndForceHead (class in core.models.dimenet_plus_plus)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.direct_forces">direct_forces (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.direct_forces">(core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTForceHead.direct_forces">(core.models.gemnet.gemnet.GemNetTForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.direct_forces">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.OutputBlock.direct_forces">(core.models.gemnet.layers.atom_update_block.OutputBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.direct_forces">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.direct_forces">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.direct_forces">(core.models.gemnet_gp.layers.atom_update_block.OutputBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.direct_forces">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.direct_forces">(core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.direct_forces">(core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.direct_forces">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.direct_forces">(core.models.gemnet_oc.layers.atom_update_block.OutputBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.direct_forces">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.direct_forces">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNForceHead.direct_forces">(core.models.painn.painn.PaiNNForceHead attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.BalancedBatchSampler.disabled">disabled (core.common.data_parallel.BalancedBatchSampler attribute)</a>
+</li>
+      <li><a href="autoapi/cattsunami/databases/index.html#cattsunami.databases.DISSOCIATION_REACTION_DB_PATH">DISSOCIATION_REACTION_DB_PATH (in module cattsunami.databases)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.dist_block">dist_block (core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.distance_expansion">distance_expansion (core.models.escn.escn.EdgeBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.distance_expansion">(core.models.escn.escn_exportable.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.distance_expansion">(core.models.scn.scn.DistanceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.distance_expansion">(core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.distance_function">distance_function (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.distance_function">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.distance_function">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.distance_function">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.distance_function">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.distance_function">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.distance_function">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.distance_function">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.Geometry.distance_point_plane">distance_point_plane() (data.oc.utils.geometry.Geometry static method)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.distance_resolution">distance_resolution (core.models.escn.eSCN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.distance_resolution">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.distance_resolution">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.distance_resolution">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.distance_resolution">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock">DistanceBlock (class in core.models.scn.scn)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.DISTRIBUTED_PORT">DISTRIBUTED_PORT (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.divide_and_check_no_remainder">divide_and_check_no_remainder() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Status.DOES_NOT_EXIST">DOES_NOT_EXIST (ocpapi.client.models.Status attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Status.DOES_NOT_EXIST">(ocpapi.client.Status attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Status.DOES_NOT_EXIST">(ocpapi.Status attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.down_projection">down_projection (core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.down_projection">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.PairInteraction.down_projection">(core.models.gemnet_oc.layers.interaction_block.PairInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.down_projection">(core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.down_projection">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/scripts/download_large_files/index.html#core.scripts.download_large_files.download_file_group">download_file_group() (in module core.scripts.download_large_files)</a>
+</li>
+      <li><a href="autoapi/core/scripts/download_data/index.html#core.scripts.download_data.DOWNLOAD_LINKS_is2re">DOWNLOAD_LINKS_is2re (in module core.scripts.download_data)</a>
+</li>
+      <li><a href="autoapi/core/scripts/download_data/index.html#core.scripts.download_data.DOWNLOAD_LINKS_s2ef">DOWNLOAD_LINKS_s2ef (in module core.scripts.download_data)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropout.drop">drop (core.models.equiformer_v2.drop.EquivariantDropout attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop">(core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_graph">drop_graph (core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.TransBlockV2.drop_path">drop_path (core.models.equiformer_v2.transformer_block.TransBlockV2 attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.drop_path">drop_path() (in module core.models.equiformer_v2.drop)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.drop_path_rate">drop_path_rate (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.drop_path_rate">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.drop_path_rate">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.DropPath.drop_prob">drop_prob (core.models.equiformer_v2.drop.DropPath attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropout.drop_prob">(core.models.equiformer_v2.drop.EquivariantDropout attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.drop_prob">(core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantScalarsDropout.drop_prob">(core.models.equiformer_v2.drop.EquivariantScalarsDropout attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.GraphDropPath.drop_prob">(core.models.equiformer_v2.drop.GraphDropPath attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.DropPath">DropPath (class in core.models.equiformer_v2.drop)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.dtype">dtype (core.models.equiformer_v2.so3.SO3_Embedding attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.dtype">(core.models.escn.so3.SO3_Embedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation.dtype">(core.models.escn.so3.SO3_Rotation attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="E">E</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_atom_interaction">edge_atom_interaction (core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.edge_atom_interaction">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.edge_block">edge_block (core.models.escn.escn.MessageBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.edge_block">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.edge_blocks">edge_blocks (core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.edge_blocks">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels">edge_channels (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.edge_channels">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.edge_channels">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.edge_channels">(core.models.escn.escn.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.edge_channels">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.edge_channels">(core.models.escn.escn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.edge_channels">(core.models.escn.escn_exportable.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.edge_channels">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.edge_channels">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_channels_list">edge_channels_list (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_channels_list">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.edge_channels_list">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.edge_channels_list">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.edge_channels_list">(core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.edge_channels_list">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.edge_channels_list">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.edge_degree_embedding">edge_degree_embedding (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.edge_degree_embedding">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.edge_degree_embedding">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData.edge_distance">edge_distance (core.models.base.GraphData attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData.edge_distance_vec">edge_distance_vec (core.models.base.GraphData attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.edge_emb">edge_emb (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.edge_emb">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.edge_emb">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.edge_emb">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.edge_emb">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.edge_emb">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData.edge_index">edge_index (core.models.base.GraphData attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2Block.edge_level">edge_level (core.models.equiformer_v2.heads.rank2.Rank2Block attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.edge_level">(core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock">EdgeBlock (class in core.models.escn.escn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock">(class in core.models.escn.escn_exportable)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock">(class in core.models.scn.scn)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding">EdgeDegreeEmbedding (class in core.models.equiformer_v2.input_block)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/embedding_block/index.html#core.models.gemnet.layers.embedding_block.EdgeEmbedding">EdgeEmbedding (class in core.models.gemnet.layers.embedding_block)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/embedding_block/index.html#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding">(class in core.models.gemnet_gp.layers.embedding_block)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/embedding_block/index.html#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding">(class in core.models.gemnet_oc.layers.embedding_block)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/spherical_basis/index.html#core.models.gemnet.layers.spherical_basis.CircularBasisLayer.efficient">efficient (core.models.gemnet.layers.spherical_basis.CircularBasisLayer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/spherical_basis/index.html#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.efficient">(core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionBilinear">EfficientInteractionBilinear (class in core.models.gemnet.layers.efficient)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear">(class in core.models.gemnet_gp.layers.efficient)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear">(class in core.models.gemnet_oc.layers.efficient)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection">EfficientInteractionDownProjection (class in core.models.gemnet.layers.efficient)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection">(class in core.models.gemnet_gp.layers.efficient)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.elementrefs">elementrefs (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.elementrefs">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Bulk.elements">elements (ocpapi.Bulk attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Bulk.elements">(ocpapi.client.Bulk attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Bulk.elements">(ocpapi.client.models.Bulk attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.ema">ema (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.ema">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.emb">emb (core.models.dimenet_plus_plus.DimeNetPlusPlus attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2Block.emb_size">emb_size (core.models.equiformer_v2.heads.rank2.Rank2Block attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.emb_size">(core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size">(core.models.gemnet.layers.efficient.EfficientInteractionBilinear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/embedding_block/index.html#core.models.gemnet.layers.embedding_block.AtomEmbedding.emb_size">(core.models.gemnet.layers.embedding_block.AtomEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.emb_size">(core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/embedding_block/index.html#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.emb_size">(core.models.gemnet_gp.layers.embedding_block.AtomEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/embedding_block/index.html#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.emb_size">(core.models.gemnet_oc.layers.embedding_block.AtomEmbedding attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_in">emb_size_in (core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.emb_size_interm">emb_size_interm (core.models.gemnet.layers.efficient.EfficientInteractionBilinear attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.emb_size_interm">(core.models.gemnet.layers.efficient.EfficientInteractionDownProjection attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.emb_size_interm">(core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.emb_size_interm">(core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_interm">(core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.emb_size_out">emb_size_out (core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/embedding_block/index.html#core.models.gemnet.layers.embedding_block.AtomEmbedding.embeddings">embeddings (core.models.gemnet.layers.embedding_block.AtomEmbedding attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/embedding_block/index.html#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.embeddings">(core.models.gemnet_gp.layers.embedding_block.AtomEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/embedding_block/index.html#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.embeddings">(core.models.gemnet_oc.layers.embedding_block.AtomEmbedding attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.enabled">enabled (core.models.gemnet_oc.layers.force_scaler.ForceScaler attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.energy">energy (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.energy">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.energy">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.energy_block">energy_block (core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.energy_block">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2ScalarHead.energy_block">(core.models.equiformer_v2.heads.EqV2ScalarHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/scalar/index.html#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.energy_block">(core.models.equiformer_v2.heads.scalar.EqV2ScalarHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.energy_block">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.energy_block">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCNEnergyHead.energy_block">(core.models.escn.escn.eSCNEnergyHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.energy_block">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.energy_fc1">energy_fc1 (core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.energy_fc1">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.energy_fc2">energy_fc2 (core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.energy_fc2">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.energy_fc3">energy_fc3 (core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.energy_fc3">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.energy_forces_within_threshold">energy_forces_within_threshold() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.energy_trajectory">energy_trajectory (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.energy_trajectory">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.energy_trajectory">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.energy_within_threshold">energy_within_threshold() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EnergyBlock">EnergyBlock (class in core.models.escn.escn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EnergyBlock">(class in core.models.escn.escn_exportable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.enforce_max_neighbors_strictly">enforce_max_neighbors_strictly (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.enforce_max_neighbors_strictly">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.enforce_max_neighbors_strictly">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.enforce_max_neighbors_strictly">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.ensure_div">ensure_div() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/util/index.html#core.modules.scaling.util.ensure_fitted">ensure_fitted() (in module core.modules.scaling.util)</a>
+</li>
+      <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.enumerate_surfaces_for_saving">enumerate_surfaces_for_saving() (in module data.oc.scripts.precompute_sample_structures)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.RadialBasis.envelope">envelope (core.models.gemnet.layers.radial_basis.RadialBasis attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsRequest.ephemeral">ephemeral (ocpapi.AdsorbateSlabRelaxationsRequest attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsRequest.ephemeral">(ocpapi.client.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.ephemeral">(ocpapi.client.models.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.epoch">epoch (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.epoch">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.eps">eps (core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.eps">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.eps">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.eps">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2">EquiformerV2 (class in core.models.equiformer_v2)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2">(class in core.models.equiformer_v2.equiformer_v2_deprecated)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone">EquiformerV2Backbone (class in core.models.equiformer_v2.equiformer_v2)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2EnergyHead">EquiformerV2EnergyHead (class in core.models.equiformer_v2.equiformer_v2)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/energy_trainer/index.html#core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer">EquiformerV2EnergyTrainer (class in core.models.equiformer_v2.trainers.energy_trainer)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2ForceHead">EquiformerV2ForceHead (class in core.models.equiformer_v2.equiformer_v2)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/forces_trainer/index.html#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer">EquiformerV2ForcesTrainer (class in core.models.equiformer_v2.trainers.forces_trainer)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale">EquivariantDegreeLayerScale (class in core.models.equiformer_v2.layer_norm)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropout">EquivariantDropout (class in core.models.equiformer_v2.drop)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics">EquivariantDropoutArraySphericalHarmonics (class in core.models.equiformer_v2.drop)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray">EquivariantLayerNormArray (class in core.models.equiformer_v2.layer_norm)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics">EquivariantLayerNormArraySphericalHarmonics (class in core.models.equiformer_v2.layer_norm)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics">EquivariantRMSNormArraySphericalHarmonics (class in core.models.equiformer_v2.layer_norm)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2">EquivariantRMSNormArraySphericalHarmonicsV2 (class in core.models.equiformer_v2.layer_norm)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantScalarsDropout">EquivariantScalarsDropout (class in core.models.equiformer_v2.drop)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/weight_initialization/index.html#core.models.equiformer_v2.weight_initialization.eqv2_init_weights">eqv2_init_weights() (in module core.models.equiformer_v2.weight_initialization)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/weight_initialization/index.html#core.models.equiformer_v2.weight_initialization.eqv2_uniform_init_linear_weights">eqv2_uniform_init_linear_weights() (in module core.models.equiformer_v2.weight_initialization)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone">EqV2DeNSBackbone (class in core.models.equiformer_v2.equiformer_v2_dens)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2ScalarHead">EqV2ScalarHead (class in core.models.equiformer_v2.heads)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/scalar/index.html#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead">(class in core.models.equiformer_v2.heads.scalar)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2VectorHead">EqV2VectorHead (class in core.models.equiformer_v2.heads)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/vector/index.html#core.models.equiformer_v2.heads.vector.EqV2VectorHead">(class in core.models.equiformer_v2.heads.vector)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN">eSCN (class in core.models.escn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN">(class in core.models.escn.escn)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN">(class in core.models.escn.escn_exportable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCNBackbone">eSCNBackbone (class in core.models.escn.escn)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCNEnergyHead">eSCNEnergyHead (class in core.models.escn.escn)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCNForceHead">eSCNForceHead (class in core.models.escn.escn)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.Evaluator.eval">eval() (core.modules.evaluator.Evaluator method)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.Evaluator">Evaluator (class in core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.expand_edge">expand_edge() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.expand_edge">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.ExponentialEnvelope">ExponentialEnvelope (class in core.models.gemnet.layers.radial_basis)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope">(class in core.models.gemnet_gp.layers.radial_basis)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope">(class in core.models.gemnet_oc.layers.radial_basis)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage">ExponentialMovingAverage (class in core.modules.exponential_moving_average)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.export">export (core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2Block.extensive">extensive (core.models.equiformer_v2.heads.rank2.Rank2Block attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.extensive">(core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.extensive">(core.models.gemnet.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.extensive">(core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.extensive">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.extensive">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.extensive">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.extensive">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.extensive">(core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.extensive">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.extra_m0_output_channels">extra_m0_output_channels (core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSiLU.extra_repr">extra_repr() (core.models.equiformer_v2.activation.ScaledSiLU method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.extra_repr">(core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SmoothLeakyReLU.extra_repr">(core.models.equiformer_v2.activation.SmoothLeakyReLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.DropPath.extra_repr">(core.models.equiformer_v2.drop.DropPath method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.extra_repr">(core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantScalarsDropout.extra_repr">(core.models.equiformer_v2.drop.EquivariantScalarsDropout method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.GraphDropPath.extra_repr">(core.models.equiformer_v2.drop.GraphDropPath method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.extra_repr">(core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.Geometry.extract_box_properties">extract_box_properties() (data.oc.utils.geometry.Geometry static method)</a>
+</li>
+      <li><a href="autoapi/data/oc/experimental/get_energies/index.html#data.oc.experimental.get_energies.extract_file">extract_file() (in module data.oc.experimental.get_energies)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/experimental/merge_traj/index.html#data.oc.experimental.merge_traj.extract_file">(in module data.oc.experimental.merge_traj)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="F">F</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.f0">f0 (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.f0">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Status.FAILED_RELAXATION">FAILED_RELAXATION (ocpapi.client.models.Status attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Status.FAILED_RELAXATION">(ocpapi.client.Status attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Status.FAILED_RELAXATION">(ocpapi.Status attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/tutorial_utils/index.html#core.common.tutorial_utils.fairchem_main">fairchem_main() (in module core.common.tutorial_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/tutorial_utils/index.html#core.common.tutorial_utils.fairchem_root">fairchem_root() (in module core.common.tutorial_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.fc">fc (core.models.equiformer_v2.so2_ops.SO2_m_Convolution attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EnergyBlock.fc1">fc1 (core.models.escn.escn.EnergyBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.ForceBlock.fc1">(core.models.escn.escn.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EnergyBlock.fc1">(core.models.escn.escn_exportable.EnergyBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.ForceBlock.fc1">(core.models.escn.escn_exportable.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.SiLUSmearing.fc1">(core.models.scn.smearing.SiLUSmearing attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.fc1_dist">fc1_dist (core.models.escn.escn.EdgeBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.fc1_dist">(core.models.escn.escn.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.fc1_dist">(core.models.escn.escn_exportable.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.fc1_dist">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.fc1_dist">(core.models.scn.scn.DistanceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock.fc1_dist">(core.models.scn.scn.MessageBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.fc1_dist0">fc1_dist0 (core.models.escn.escn.SO2Block attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.fc1_dist0">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock.fc1_edge">fc1_edge (core.models.scn.scn.MessageBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.fc1_edge_attr">fc1_edge_attr (core.models.escn.escn.EdgeBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.fc1_edge_attr">(core.models.escn.escn_exportable.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.fc1_edge_attr">(core.models.scn.scn.DistanceBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock.fc1_edge_proj">fc1_edge_proj (core.models.scn.scn.MessageBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.fc1_i">fc1_i (core.models.escn.escn.SO2Conv attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.fc1_i">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.fc1_m0">fc1_m0 (core.models.escn.escn.SO2Block attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.fc1_m0">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.fc1_r">fc1_r (core.models.escn.escn.SO2Conv attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.fc1_r">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.fc1_sphere">fc1_sphere (core.models.escn.escn.LayerBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.fc1_sphere">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EnergyBlock.fc2">fc2 (core.models.escn.escn.EnergyBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.ForceBlock.fc2">(core.models.escn.escn.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EnergyBlock.fc2">(core.models.escn.escn_exportable.EnergyBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.ForceBlock.fc2">(core.models.escn.escn_exportable.ForceBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock.fc2_edge">fc2_edge (core.models.scn.scn.MessageBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.fc2_i">fc2_i (core.models.escn.escn.SO2Conv attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.fc2_i">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.fc2_m0">fc2_m0 (core.models.escn.escn.SO2Block attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.fc2_m0">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.fc2_r">fc2_r (core.models.escn.escn.SO2Conv attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.fc2_r">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.fc2_sphere">fc2_sphere (core.models.escn.escn.LayerBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.fc2_sphere">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EnergyBlock.fc3">fc3 (core.models.escn.escn.EnergyBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.ForceBlock.fc3">(core.models.escn.escn.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EnergyBlock.fc3">(core.models.escn.escn_exportable.EnergyBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.ForceBlock.fc3">(core.models.escn.escn_exportable.ForceBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.fc3_sphere">fc3_sphere (core.models.escn.escn.LayerBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.fc3_sphere">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.fc_m0">fc_m0 (core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.fc_m0">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork">FeedForwardNetwork (class in core.models.equiformer_v2.transformer_block)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.TransBlockV2.ffn">ffn (core.models.equiformer_v2.transformer_block.TransBlockV2 attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_activation">ffn_activation (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_activation">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.ffn_activation">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.ffn_hidden_channels">ffn_hidden_channels (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.ffn_hidden_channels">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.ffn_hidden_channels">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/scripts/download_large_files/index.html#core.scripts.download_large_files.FILE_GROUPS">FILE_GROUPS (in module core.scripts.download_large_files)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.SeverityLevelBetween.filter">filter() (core.common.utils.SeverityLevelBetween method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.filter_kwargs">filter_kwargs() (core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scheduler/index.html#core.modules.scheduler.LRScheduler.filter_kwargs">(core.modules.scheduler.LRScheduler method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#adsorbml.scripts.dense_eval.filter_ml_data">filter_ml_data() (in module adsorbml.scripts.dense_eval)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.final_atoms">final_atoms (data.oc.utils.DetectTrajAnomaly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_atoms">(data.oc.utils.flag_anomaly.DetectTrajAnomaly attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.final_slab_atoms">final_slab_atoms (data.oc.utils.DetectTrajAnomaly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.final_slab_atoms">(data.oc.utils.flag_anomaly.DetectTrajAnomaly attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.find_adsorbate_binding_sites">find_adsorbate_binding_sites() (in module ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.find_adsorbate_binding_sites">(in module ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.find_adsorbate_binding_sites">(in module ocpapi.workflows.adsorbates)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.find_relative_file_in_paths">find_relative_file_in_paths() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.find_surface_atoms_by_height">find_surface_atoms_by_height() (in module data.oc.core.slab)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.find_surface_atoms_with_voronoi_given_height">find_surface_atoms_with_voronoi_given_height() (in module data.oc.core.slab)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.finite_force_results">finite_force_results (core.models.gemnet_oc.layers.force_scaler.ForceScaler attribute)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.fit_">fit_() (core.modules.scaling.scale_factor.ScaleFactor method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.fit_">(core.modules.scaling.ScaleFactor method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.fit_context_">fit_context_() (core.modules.scaling.scale_factor.ScaleFactor method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.fit_context_">(core.modules.scaling.ScaleFactor method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/normalization/element_references/index.html#core.modules.normalization.element_references.fit_linear_references">fit_linear_references() (in module core.modules.normalization.element_references)</a>
+</li>
+      <li><a href="autoapi/core/scripts/fit_references/index.html#core.scripts.fit_references.fit_linref">fit_linref() (in module core.scripts.fit_references)</a>
+</li>
+      <li><a href="autoapi/core/modules/normalization/normalizer/index.html#core.modules.normalization.normalizer.fit_normalizers">fit_normalizers() (in module core.modules.normalization.normalizer)</a>
+</li>
+      <li><a href="autoapi/core/scripts/fit_normalizers/index.html#core.scripts.fit_normalizers.fit_norms">fit_norms() (in module core.scripts.fit_normalizers)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.fitted">fitted (core.modules.scaling.scale_factor.ScaleFactor property)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.fitted">(core.modules.scaling.ScaleFactor property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.fixed_noise_std">fixed_noise_std (core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/flags/index.html#core.common.flags.Flags">Flags (class in core.common.flags)</a>
+</li>
+      <li><a href="autoapi/core/common/flags/index.html#core.common.flags.flags">flags (in module core.common.flags)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.flip_struct">flip_struct() (in module data.oc.core.slab)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.flip_struct">(in module data.oc.scripts.precompute_sample_structures)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FlipGrid">FlipGrid() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.fmax">fmax (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.fmax">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2VectorHead.force_block">force_block (core.models.equiformer_v2.heads.EqV2VectorHead attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/vector/index.html#core.models.equiformer_v2.heads.vector.EqV2VectorHead.force_block">(core.models.equiformer_v2.heads.vector.EqV2VectorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCNForceHead.force_block">(core.models.escn.escn.eSCNForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.force_block">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.force_embedding">force_embedding (core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.force_fc1">force_fc1 (core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.force_fc1">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.force_fc2">force_fc2 (core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.force_fc2">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.force_fc3">force_fc3 (core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.force_fc3">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.force_scaler">force_scaler (core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.force_scaler">(core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.force_scaler">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.ForceBlock">ForceBlock (class in core.models.escn.escn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.ForceBlock">(class in core.models.escn.escn_exportable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.forces">forces (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.forces">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.forces">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.forces_coupled">forces_coupled (core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forces_coupled">(core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.forces_coupled">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler">ForceScaler (class in core.models.gemnet_oc.layers.force_scaler)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.forcesx_mae">forcesx_mae() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.forcesx_mse">forcesx_mse() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.forcesy_mae">forcesy_mae() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.forcesy_mse">forcesy_mse() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.forcesz_mae">forcesz_mae() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.forcesz_mse">forcesz_mse() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.ForkedPdb">ForkedPdb (class in core.common.test_utils)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Bulk.formula">formula (ocpapi.Bulk attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Bulk.formula">(ocpapi.client.Bulk attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Bulk.formula">(ocpapi.client.models.Bulk attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.CopyToModelParallelRegion.forward">forward() (core.common.gp_utils.CopyToModelParallelRegion static method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.GatherFromModelParallelRegion.forward">(core.common.gp_utils.GatherFromModelParallelRegion static method)</a>
+</li>
+        <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.ReduceFromModelParallelRegion.forward">(core.common.gp_utils.ReduceFromModelParallelRegion static method)</a>
+</li>
+        <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.ScatterToModelParallelRegion.forward">(core.common.gp_utils.ScatterToModelParallelRegion static method)</a>
+</li>
+        <li><a href="autoapi/core/models/base/index.html#core.models.base.BackboneInterface.forward">(core.models.base.BackboneInterface method)</a>
+</li>
+        <li><a href="autoapi/core/models/base/index.html#core.models.base.HeadInterface.forward">(core.models.base.HeadInterface method)</a>
+</li>
+        <li><a href="autoapi/core/models/base/index.html#core.models.base.HydraModel.forward">(core.models.base.HydraModel method)</a>
+</li>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.forward">(core.models.dimenet_plus_plus.DimeNetPlusPlus method)</a>
+</li>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.forward">(core.models.dimenet_plus_plus.DimeNetPlusPlusWrap method)</a>
+</li>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone.forward">(core.models.dimenet_plus_plus.DimeNetPlusPlusWrapBackbone method)</a>
+</li>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.forward">(core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.forward">(core.models.dimenet_plus_plus.InteractionPPBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.OutputPPBlock.forward">(core.models.dimenet_plus_plus.OutputPPBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.GateActivation.forward">(core.models.equiformer_v2.activation.GateActivation method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.S2Activation.forward">(core.models.equiformer_v2.activation.S2Activation method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSigmoid.forward">(core.models.equiformer_v2.activation.ScaledSigmoid method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSiLU.forward">(core.models.equiformer_v2.activation.ScaledSiLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.forward">(core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSwiGLU.forward">(core.models.equiformer_v2.activation.ScaledSwiGLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SeparableS2Activation.forward">(core.models.equiformer_v2.activation.SeparableS2Activation method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SmoothLeakyReLU.forward">(core.models.equiformer_v2.activation.SmoothLeakyReLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SwiGLU.forward">(core.models.equiformer_v2.activation.SwiGLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.DropPath.forward">(core.models.equiformer_v2.drop.DropPath method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropout.forward">(core.models.equiformer_v2.drop.EquivariantDropout method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.forward">(core.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantScalarsDropout.forward">(core.models.equiformer_v2.drop.EquivariantScalarsDropout method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.GraphDropPath.forward">(core.models.equiformer_v2.drop.GraphDropPath method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.forward">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.forward">(core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.forward">(core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.forward">(core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.forward">(core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.forward">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.forward">(core.models.equiformer_v2.EquiformerV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.forward">(core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2ScalarHead.forward">(core.models.equiformer_v2.heads.EqV2ScalarHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2VectorHead.forward">(core.models.equiformer_v2.heads.EqV2VectorHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2Block.forward">(core.models.equiformer_v2.heads.rank2.Rank2Block method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.forward">(core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.forward">(core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.forward">(core.models.equiformer_v2.heads.Rank2SymmetricTensorHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/scalar/index.html#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.forward">(core.models.equiformer_v2.heads.scalar.EqV2ScalarHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/vector/index.html#core.models.equiformer_v2.heads.vector.EqV2VectorHead.forward">(core.models.equiformer_v2.heads.vector.EqV2VectorHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.forward">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.forward">(core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.forward">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.forward">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.forward">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.forward">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/radial_function/index.html#core.models.equiformer_v2.radial_function.RadialFunction.forward">(core.models.equiformer_v2.radial_function.RadialFunction method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.forward">(core.models.equiformer_v2.so2_ops.SO2_Convolution method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.forward">(core.models.equiformer_v2.so2_ops.SO2_Linear method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.forward">(core.models.equiformer_v2.so2_ops.SO2_m_Convolution method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Linear.forward">(core.models.equiformer_v2.so3.SO3_Linear method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_LinearV2.forward">(core.models.equiformer_v2.so3.SO3_LinearV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.forward">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.forward">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.TransBlockV2.forward">(core.models.equiformer_v2.transformer_block.TransBlockV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.forward">(core.models.escn.eSCN method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.forward">(core.models.escn.escn.EdgeBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EnergyBlock.forward">(core.models.escn.escn.EnergyBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.forward">(core.models.escn.escn.eSCN method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCNBackbone.forward">(core.models.escn.escn.eSCNBackbone method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCNEnergyHead.forward">(core.models.escn.escn.eSCNEnergyHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCNForceHead.forward">(core.models.escn.escn.eSCNForceHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.ForceBlock.forward">(core.models.escn.escn.ForceBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.forward">(core.models.escn.escn.LayerBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.forward">(core.models.escn.escn.MessageBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.forward">(core.models.escn.escn.SO2Block method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.forward">(core.models.escn.escn.SO2Conv method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.forward">(core.models.escn.escn_exportable.EdgeBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EnergyBlock.forward">(core.models.escn.escn_exportable.EnergyBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.forward">(core.models.escn.escn_exportable.eSCN method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.ForceBlock.forward">(core.models.escn.escn_exportable.ForceBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.forward">(core.models.escn.escn_exportable.LayerBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.forward">(core.models.escn.escn_exportable.MessageBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.forward">(core.models.escn.escn_exportable.SO2Block method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.forward">(core.models.escn.escn_exportable.SO2Conv method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.forward">(core.models.gemnet.gemnet.GemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTBackbone.forward">(core.models.gemnet.gemnet.GemNetTBackbone method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.forward">(core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTForceHead.forward">(core.models.gemnet.gemnet.GemNetTForceHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.forward">(core.models.gemnet.GemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.forward">(core.models.gemnet.layers.atom_update_block.AtomUpdateBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.OutputBlock.forward">(core.models.gemnet.layers.atom_update_block.OutputBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.Dense.forward">(core.models.gemnet.layers.base_layers.Dense method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.ResidualLayer.forward">(core.models.gemnet.layers.base_layers.ResidualLayer method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.ScaledSiLU.forward">(core.models.gemnet.layers.base_layers.ScaledSiLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.SiQU.forward">(core.models.gemnet.layers.base_layers.SiQU method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.forward">(core.models.gemnet.layers.efficient.EfficientInteractionBilinear method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.forward">(core.models.gemnet.layers.efficient.EfficientInteractionDownProjection method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/embedding_block/index.html#core.models.gemnet.layers.embedding_block.AtomEmbedding.forward">(core.models.gemnet.layers.embedding_block.AtomEmbedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/embedding_block/index.html#core.models.gemnet.layers.embedding_block.EdgeEmbedding.forward">(core.models.gemnet.layers.embedding_block.EdgeEmbedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.forward">(core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.forward">(core.models.gemnet.layers.interaction_block.TripletInteraction method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.BernsteinBasis.forward">(core.models.gemnet.layers.radial_basis.BernsteinBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.ExponentialEnvelope.forward">(core.models.gemnet.layers.radial_basis.ExponentialEnvelope method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.forward">(core.models.gemnet.layers.radial_basis.PolynomialEnvelope method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.RadialBasis.forward">(core.models.gemnet.layers.radial_basis.RadialBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.forward">(core.models.gemnet.layers.radial_basis.SphericalBesselBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/spherical_basis/index.html#core.models.gemnet.layers.spherical_basis.CircularBasisLayer.forward">(core.models.gemnet.layers.spherical_basis.CircularBasisLayer method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.forward">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.forward">(core.models.gemnet_gp.GraphParallelGemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.forward">(core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.forward">(core.models.gemnet_gp.layers.atom_update_block.OutputBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.Dense.forward">(core.models.gemnet_gp.layers.base_layers.Dense method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.ResidualLayer.forward">(core.models.gemnet_gp.layers.base_layers.ResidualLayer method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.ScaledSiLU.forward">(core.models.gemnet_gp.layers.base_layers.ScaledSiLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.SiQU.forward">(core.models.gemnet_gp.layers.base_layers.SiQU method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.forward">(core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.forward">(core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/embedding_block/index.html#core.models.gemnet_gp.layers.embedding_block.AtomEmbedding.forward">(core.models.gemnet_gp.layers.embedding_block.AtomEmbedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/embedding_block/index.html#core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.forward">(core.models.gemnet_gp.layers.embedding_block.EdgeEmbedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.forward">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.forward">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.forward">(core.models.gemnet_gp.layers.radial_basis.BernsteinBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope.forward">(core.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.forward">(core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.RadialBasis.forward">(core.models.gemnet_gp.layers.radial_basis.RadialBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.forward">(core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/spherical_basis/index.html#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.forward">(core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.forward">(core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone.forward">(core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.forward">(core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead.forward">(core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.forward">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.forward">(core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.forward">(core.models.gemnet_oc.layers.atom_update_block.OutputBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.Dense.forward">(core.models.gemnet_oc.layers.base_layers.Dense method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.ResidualLayer.forward">(core.models.gemnet_oc.layers.base_layers.ResidualLayer method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.ScaledSiLU.forward">(core.models.gemnet_oc.layers.base_layers.ScaledSiLU method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.BasisEmbedding.forward">(core.models.gemnet_oc.layers.efficient.BasisEmbedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.forward">(core.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/embedding_block/index.html#core.models.gemnet_oc.layers.embedding_block.AtomEmbedding.forward">(core.models.gemnet_oc.layers.embedding_block.AtomEmbedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/embedding_block/index.html#core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.forward">(core.models.gemnet_oc.layers.embedding_block.EdgeEmbedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.forward">(core.models.gemnet_oc.layers.interaction_block.InteractionBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.PairInteraction.forward">(core.models.gemnet_oc.layers.interaction_block.PairInteraction method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.forward">(core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.forward">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.forward">(core.models.gemnet_oc.layers.radial_basis.BernsteinBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope.forward">(core.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.GaussianBasis.forward">(core.models.gemnet_oc.layers.radial_basis.GaussianBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.forward">(core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.RadialBasis.forward">(core.models.gemnet_oc.layers.radial_basis.RadialBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.forward">(core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.forward">(core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.forward">(core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.forward">(core.models.painn.PaiNN method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.GatedEquivariantBlock.forward">(core.models.painn.painn.GatedEquivariantBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.forward">(core.models.painn.painn.PaiNN method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNBackbone.forward">(core.models.painn.painn.PaiNNBackbone method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNEnergyHead.forward">(core.models.painn.painn.PaiNNEnergyHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNForceHead.forward">(core.models.painn.painn.PaiNNForceHead method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.forward">(core.models.painn.painn.PaiNNMessage method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNOutput.forward">(core.models.painn.painn.PaiNNOutput method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNUpdate.forward">(core.models.painn.painn.PaiNNUpdate method)</a>
+</li>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.forward">(core.models.schnet.SchNetWrap method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.forward">(core.models.scn.scn.DistanceBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.forward">(core.models.scn.scn.EdgeBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock.forward">(core.models.scn.scn.MessageBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.forward">(core.models.scn.scn.SphericalChannelNetwork method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.GaussianSmearing.forward">(core.models.scn.smearing.GaussianSmearing method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.LinearSigmoidSmearing.forward">(core.models.scn.smearing.LinearSigmoidSmearing method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.SigmoidSmearing.forward">(core.models.scn.smearing.SigmoidSmearing method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.SiLUSmearing.forward">(core.models.scn.smearing.SiLUSmearing method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.forward">(core.models.scn.SphericalChannelNetwork method)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/activations/index.html#core.models.utils.activations.Act.forward">(core.models.utils.activations.Act method)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.Basis.forward">(core.models.utils.basis.Basis method)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.FourierSmearing.forward">(core.models.utils.basis.FourierSmearing method)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.GaussianSmearing.forward">(core.models.utils.basis.GaussianSmearing method)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.Sine.forward">(core.models.utils.basis.Sine method)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SINESmearing.forward">(core.models.utils.basis.SINESmearing method)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SIREN.forward">(core.models.utils.basis.SIREN method)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SphericalSmearing.forward">(core.models.utils.basis.SphericalSmearing method)</a>
+</li>
+        <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.DDPLoss.forward">(core.modules.loss.DDPLoss method)</a>
+</li>
+        <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.L2NormLoss.forward">(core.modules.loss.L2NormLoss method)</a>
+</li>
+        <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.MAELoss.forward">(core.modules.loss.MAELoss method)</a>
+</li>
+        <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.MSELoss.forward">(core.modules.loss.MSELoss method)</a>
+</li>
+        <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.PerAtomMAELoss.forward">(core.modules.loss.PerAtomMAELoss method)</a>
+</li>
+        <li><a href="autoapi/core/modules/normalization/element_references/index.html#core.modules.normalization.element_references.LinearReferences.forward">(core.modules.normalization.element_references.LinearReferences method)</a>
+</li>
+        <li><a href="autoapi/core/modules/normalization/normalizer/index.html#core.modules.normalization.normalizer.Normalizer.forward">(core.modules.normalization.normalizer.Normalizer method)</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.forward">(core.modules.scaling.scale_factor.ScaleFactor method)</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.forward">(core.modules.scaling.ScaleFactor method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.forward_trainable">forward_trainable() (core.models.escn.escn_exportable.eSCN method)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.FourierSmearing">FourierSmearing (class in core.models.utils.basis)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.FourierSmearing.freq_filter">freq_filter (core.models.utils.basis.FourierSmearing attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SINESmearing.freq_filter">(core.models.utils.basis.SINESmearing attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.frequencies">frequencies (core.models.gemnet.layers.radial_basis.SphericalBesselBasis attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.frequencies">(core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.frequencies">(core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.from_atoms">from_atoms() (data.oc.core.Slab class method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.from_atoms">(data.oc.core.slab.Slab class method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.from_bulk_get_all_slabs">from_bulk_get_all_slabs() (data.oc.core.Slab class method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.from_bulk_get_all_slabs">(data.oc.core.slab.Slab class method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.from_bulk_get_random_slab">from_bulk_get_random_slab() (data.oc.core.Slab class method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.from_bulk_get_random_slab">(data.oc.core.slab.Slab class method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.from_bulk_get_specific_millers">from_bulk_get_specific_millers() (data.oc.core.Slab class method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.from_bulk_get_specific_millers">(data.oc.core.slab.Slab class method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Grid.from_grid">from_grid() (core.models.equiformer_v2.so3.SO3_Grid method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid.from_grid">(core.models.escn.so3.SO3_Grid method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.SO3_Grid.from_grid">(core.models.escn.so3_exportable.SO3_Grid method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.from_precomputed_slabs_pkl">from_precomputed_slabs_pkl() (data.oc.core.Slab class method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.from_precomputed_slabs_pkl">(data.oc.core.slab.Slab class method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FromGrid">FromGrid() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="G">G</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.TransBlockV2.ga">ga (core.models.equiformer_v2.transformer_block.TransBlockV2 attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.GateActivation.gate_act">gate_act (core.models.equiformer_v2.activation.GateActivation attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.GateActivation">GateActivation (class in core.models.equiformer_v2.activation)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.GatedEquivariantBlock">GatedEquivariantBlock (class in core.models.painn.painn)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.gather_from_model_parallel_region">gather_from_model_parallel_region() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.gather_objects">gather_objects() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.GatherFromModelParallelRegion">GatherFromModelParallelRegion (class in core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.gaussian">gaussian() (in module core.models.equiformer_v2.gaussian_rbf)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.GaussianBasis">GaussianBasis (class in core.models.gemnet_oc.layers.radial_basis)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer">GaussianRadialBasisLayer (class in core.models.equiformer_v2.gaussian_rbf)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.GaussianSmearing">GaussianSmearing (class in core.models.scn.smearing)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.GaussianSmearing">(class in core.models.utils.basis)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC">GemNetOC (class in core.models.gemnet_oc)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC">(class in core.models.gemnet_oc.gemnet_oc)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCBackbone">GemNetOCBackbone (class in core.models.gemnet_oc.gemnet_oc)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead">GemNetOCEnergyAndGradForceHead (class in core.models.gemnet_oc.gemnet_oc)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCForceHead">GemNetOCForceHead (class in core.models.gemnet_oc.gemnet_oc)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT">GemNetT (class in core.models.gemnet)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT">(class in core.models.gemnet.gemnet)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTBackbone">GemNetTBackbone (class in core.models.gemnet.gemnet)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead">GemNetTEnergyAndGradForceHead (class in core.models.gemnet.gemnet)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTForceHead">GemNetTForceHead (class in core.models.gemnet.gemnet)</a>
+</li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphModelMixin.generate_graph">generate_graph() (core.models.base.GraphModelMixin method)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.generate_graph_dict">generate_graph_dict() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.generate_graph_dict">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.generate_graph_values">generate_graph_values() (core.models.painn.PaiNN method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.generate_graph_values">(core.models.painn.painn.PaiNN method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.generate_interaction_graph">generate_interaction_graph() (core.models.gemnet.gemnet.GemNetT method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.generate_interaction_graph">(core.models.gemnet.GemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.generate_interaction_graph">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.generate_interaction_graph">(core.models.gemnet_gp.GraphParallelGemNetT method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/tutorial_utils/index.html#core.common.tutorial_utils.generate_yml_config">generate_yml_config() (in module core.common.tutorial_utils)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.Geometry">Geometry (class in data.oc.utils.geometry)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.get">get() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.get_adsorbate_slab_configs">get_adsorbate_slab_configs() (ocpapi.Client method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.get_adsorbate_slab_configs">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.get_adsorbate_slab_configs">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.get_adsorbate_slab_relaxation_results">get_adsorbate_slab_relaxation_results() (in module ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.get_adsorbate_slab_relaxation_results">(in module ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.get_adsorbate_slab_relaxation_results">(in module ocpapi.workflows.adsorbates)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.get_adsorbate_slab_relaxations_request">get_adsorbate_slab_relaxations_request() (ocpapi.Client method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.get_adsorbate_slab_relaxations_request">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.get_adsorbate_slab_relaxations_request">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.get_adsorbate_slab_relaxations_results">get_adsorbate_slab_relaxations_results() (ocpapi.Client method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.get_adsorbate_slab_relaxations_results">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.get_adsorbate_slab_relaxations_results">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.get_adsorbates">get_adsorbates() (ocpapi.Client method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.get_adsorbates">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.get_adsorbates">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.get_angle">get_angle() (in module core.models.gemnet_oc.utils)</a>
+</li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.get_atoms">get_atoms() (core.datasets.ase_datasets.AseAtomsDataset method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseDBDataset.get_atoms">(core.datasets.ase_datasets.AseDBDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseReadDataset.get_atoms">(core.datasets.ase_datasets.AseReadDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseReadMultiStructureDataset.get_atoms">(core.datasets.ase_datasets.AseReadMultiStructureDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseDBDataset.get_atoms">(core.datasets.AseDBDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseReadDataset.get_atoms">(core.datasets.AseReadDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseReadMultiStructureDataset.get_atoms">(core.datasets.AseReadMultiStructureDataset method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.get_atoms_list">get_atoms_list() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.get_atoms_list">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.get_bases">get_bases() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.get_bases">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDissociation.get_best_sites_for_product1">get_best_sites_for_product1() (cattsunami.core.autoframe.AutoFrameDissociation method)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDissociation.get_best_unique_sites_for_product2">get_best_unique_sites_for_product2() (cattsunami.core.autoframe.AutoFrameDissociation method)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.get_binding_sites">get_binding_sites() (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.get_binding_sites">(data.oc.core.AdsorbateSlabConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.get_bulks">get_bulks() (ocpapi.Client method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.get_bulks">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.get_bulks">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.get_cells">get_cells() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.get_cells">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.get_checkpoint_format">get_checkpoint_format() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.get_class">get_class() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.get_commit_hash">get_commit_hash() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/scripts/download_data/index.html#core.scripts.download_data.get_data">get_data() (in module core.scripts.download_data)</a>
+
+      <ul>
+        <li><a href="autoapi/core/scripts/make_lmdb_sizes/index.html#core.scripts.make_lmdb_sizes.get_data">(in module core.scripts.make_lmdb_sizes)</a>
+</li>
+        <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.get_data">(in module data.odac.force_field.FF_analysis)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.get_dataloader">get_dataloader() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.get_dataloader">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.get_dataset_class">get_dataset_class() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/profiler_utils/index.html#core.common.profiler_utils.get_default_profiler_handler">get_default_profiler_handler() (in module core.common.profiler_utils)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.Reaction.get_desorption_mapping">get_desorption_mapping() (cattsunami.core.Reaction method)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/reaction/index.html#cattsunami.core.reaction.Reaction.get_desorption_mapping">(cattsunami.core.reaction.Reaction method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.get_device_for_local_rank">get_device_for_local_rank() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#adsorbml.scripts.dense_eval.get_dft_compute">get_dft_compute() (in module adsorbml.scripts.dense_eval)</a>
+</li>
+      <li><a href="autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html#adsorbml.2023_neurips_challenge.challenge_eval.get_dft_data">get_dft_data() (in module adsorbml.2023_neurips_challenge.challenge_eval)</a>
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#adsorbml.scripts.dense_eval.get_dft_data">(in module adsorbml.scripts.dense_eval)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.get_dp_group">get_dp_group() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.get_dp_rank">get_dp_rank() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.get_dp_world_size">get_dp_world_size() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.get_edge_distance_vec">get_edge_distance_vec() (core.preprocessing.atoms_to_graphs.AtomsToGraphs method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.get_edge_distance_vec">(core.preprocessing.AtomsToGraphs method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.get_edge_id">get_edge_id() (in module core.models.gemnet_oc.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/utils/index.html#core.models.painn.utils.get_edge_id">(in module core.models.painn.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.get_Fig4a">get_Fig4a() (in module data.odac.force_field.FF_analysis)</a>
+</li>
+      <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.get_Fig4b">get_Fig4b() (in module data.odac.force_field.FF_analysis)</a>
+</li>
+      <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.get_Fig4c">get_Fig4c() (in module data.odac.force_field.FF_analysis)</a>
+</li>
+      <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.get_Fig4d">get_Fig4d() (in module data.odac.force_field.FF_analysis)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.get_forces">get_forces() (cattsunami.core.OCPNEB method)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.get_forces">(cattsunami.core.ocpneb.OCPNEB method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.get_forces">(core.common.relaxation.optimizable.OptimizableBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_forces">(core.common.relaxation.optimizable.OptimizableUnitCellBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.get_forces">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.get_forces">(core.common.relaxation.OptimizableUnitCellBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Grid.get_from_grid_mat">get_from_grid_mat() (core.models.equiformer_v2.so3.SO3_Grid method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid.get_from_grid_mat">(core.models.escn.so3.SO3_Grid method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.SO3_Grid.get_from_grid_mat">(core.models.escn.so3_exportable.SO3_Grid method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.get_gp_group">get_gp_group() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.get_gp_rank">get_gp_rank() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.get_gp_world_size">get_gp_world_size() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.get_graphs_and_indices">get_graphs_and_indices() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.get_graphs_and_indices">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/_cli_hydra/index.html#core._cli_hydra.get_hydra_config_from_yaml">get_hydra_config_from_yaml() (in module core._cli_hydra)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/initializers/index.html#core.models.gemnet_oc.initializers.get_initializer">get_initializer() (in module core.models.gemnet_oc.initializers)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.get_inner_idx">get_inner_idx() (in module core.models.gemnet_oc.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger.get_instance">get_instance() (core.common.logger.WandBSingletonLogger class method)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.get_interstitial_distances">get_interstitial_distances() (in module data.oc.core.adsorbate_slab_config)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Ion.get_ion_concentration">get_ion_concentration() (data.oc.core.Ion method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/ion/index.html#data.oc.core.ion.Ion.get_ion_concentration">(data.oc.core.ion.Ion method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.get_l_to_all_m_expand_index">get_l_to_all_m_expand_index() (in module core.models.equiformer_v2.layer_norm)</a>
+</li>
+      <li><a href="autoapi/core/scripts/make_lmdb_sizes/index.html#core.scripts.make_lmdb_sizes.get_lmdb_sizes_parser">get_lmdb_sizes_parser() (in module core.scripts.make_lmdb_sizes)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.get_logger_class">get_logger_class() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.get_loss_class">get_loss_class() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.get_lr">get_lr() (core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scheduler/index.html#core.modules.scheduler.LRScheduler.get_lr">(core.modules.scheduler.LRScheduler method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.get_max_forces">get_max_forces() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.get_max_forces">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.get_max_neighbors_mask">get_max_neighbors_mask() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.get_metadata">get_metadata() (core.datasets.ase_datasets.AseAtomsDataset method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.BaseDataset.get_metadata">(core.datasets.base_dataset.BaseDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.Subset.get_metadata">(core.datasets.base_dataset.Subset method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.get_metadata_dict">get_metadata_dict() (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.get_metadata_dict">(data.oc.core.AdsorbateSlabConfig method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.get_metadata_dict">(data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.MultipleAdsorbateSlabConfig.get_metadata_dict">(data.oc.core.MultipleAdsorbateSlabConfig method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.get_metadata_dict">(data.oc.core.Slab method)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.get_metadata_dict">(data.oc.core.slab.Slab method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/interaction_indices/index.html#core.models.gemnet_oc.interaction_indices.get_mixed_triplets">get_mixed_triplets() (in module core.models.gemnet_oc.interaction_indices)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.get_mlp">get_mlp() (core.models.gemnet.layers.atom_update_block.AtomUpdateBlock method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.get_mlp">(core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.get_mlp">(core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.get_model_class">get_model_class() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.get_models">get_models() (ocpapi.Client method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.get_models">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.get_models">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrame.get_most_proximate_symmetric_group">get_most_proximate_symmetric_group() (cattsunami.core.autoframe.AutoFrame method)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDesorption.get_neb_frames">get_neb_frames() (cattsunami.core.autoframe.AutoFrameDesorption method)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDissociation.get_neb_frames">(cattsunami.core.autoframe.AutoFrameDissociation method)</a>
+</li>
+        <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameTransfer.get_neb_frames">(cattsunami.core.autoframe.AutoFrameTransfer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.get_neighbor_order">get_neighbor_order() (in module core.models.gemnet_oc.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.get_normalization_layer">get_normalization_layer() (in module core.models.equiformer_v2.layer_norm)</a>
+</li>
+      <li><a href="autoapi/core/common/flags/index.html#core.common.flags.Flags.get_parser">get_parser() (core.common.flags.Flags method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/scripts/gif_maker_parallelized/index.html#core.scripts.gif_maker_parallelized.get_parser">(in module core.scripts.gif_maker_parallelized)</a>
+</li>
+        <li><a href="autoapi/core/scripts/preprocess_ef/index.html#core.scripts.preprocess_ef.get_parser">(in module core.scripts.preprocess_ef)</a>
+</li>
+        <li><a href="autoapi/core/scripts/uncompress/index.html#core.scripts.uncompress.get_parser">(in module core.scripts.uncompress)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.get_pbc_distances">get_pbc_distances() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.get_positions">get_positions() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_positions">(core.common.relaxation.optimizable.OptimizableUnitCellBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.get_positions">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.get_positions">(core.common.relaxation.OptimizableUnitCellBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.get_potential_energies">get_potential_energies() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.get_potential_energies">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.get_potential_energy">get_potential_energy() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.get_potential_energy">(core.common.relaxation.optimizable.OptimizableUnitCellBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.get_potential_energy">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.get_potential_energy">(core.common.relaxation.OptimizableUnitCellBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.get_precon_forces">get_precon_forces() (cattsunami.core.OCPNEB method)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.get_precon_forces">(cattsunami.core.ocpneb.OCPNEB method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.get_product2_idx">get_product2_idx() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/core/common/profiler_utils/index.html#core.common.profiler_utils.get_profile_schedule">get_profile_schedule() (in module core.common.profiler_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.get_projected_angle">get_projected_angle() (in module core.models.gemnet_oc.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.get_property">get_property() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.get_property">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.get_pruned_edge_idx">get_pruned_edge_idx() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/interaction_indices/index.html#core.models.gemnet_oc.interaction_indices.get_quadruplets">get_quadruplets() (in module core.models.gemnet_oc.interaction_indices)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.get_random_sites_on_triangle">get_random_sites_on_triangle() (in module data.oc.core.adsorbate_slab_config)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.get_rank">get_rank() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.get_relaxed_energy">get_relaxed_energy() (core.datasets.ase_datasets.AseAtomsDataset method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseReadDataset.get_relaxed_energy">(core.datasets.ase_datasets.AseReadDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseReadMultiStructureDataset.get_relaxed_energy">(core.datasets.ase_datasets.AseReadMultiStructureDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseReadDataset.get_relaxed_energy">(core.datasets.AseReadDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseReadMultiStructureDataset.get_relaxed_energy">(core.datasets.AseReadMultiStructureDataset method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.get_results_ml">get_results_ml() (in module cattsunami.run_validation.run_validation)</a>
+</li>
+      <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.get_results_sp">get_results_sp() (in module cattsunami.run_validation.run_validation)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.get_results_ui_url">get_results_ui_url() (in module ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.get_results_ui_url">(in module ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/ui/index.html#ocpapi.client.ui.get_results_ui_url">(in module ocpapi.client.ui)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.get_rotate_inv_rescale">get_rotate_inv_rescale() (core.models.equiformer_v2.so3.CoefficientMappingModule method)</a>
+</li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.get_sampler">get_sampler() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.get_sampler">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.get_shortest_path">get_shortest_path() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.get_single_point">get_single_point() (in module cattsunami.run_validation.run_validation)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDissociation.get_sites_within_r">get_sites_within_r() (cattsunami.core.autoframe.AutoFrameDissociation method)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk.get_slabs">get_slabs() (data.oc.core.Bulk method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk.get_slabs">(data.oc.core.bulk.Bulk method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.get_slabs">(ocpapi.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.get_slabs">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.get_slabs">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#core.models.gemnet_oc.layers.basis_utils.get_sph_harm_basis">get_sph_harm_basis() (in module core.models.gemnet_oc.layers.basis_utils)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_final">get_system_pairs_final() (cattsunami.core.autoframe.AutoFrameTransfer method)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameTransfer.get_system_pairs_initial">get_system_pairs_initial() (cattsunami.core.autoframe.AutoFrameTransfer method)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.get_task_class">get_task_class() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.get_timestamp_uid">get_timestamp_uid() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Grid.get_to_grid_mat">get_to_grid_mat() (core.models.equiformer_v2.so3.SO3_Grid method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid.get_to_grid_mat">(core.models.escn.so3.SO3_Grid method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.SO3_Grid.get_to_grid_mat">(core.models.escn.so3_exportable.SO3_Grid method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.get_trainer_class">get_trainer_class() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.get_triplets">get_triplets() (core.models.gemnet.gemnet.GemNetT method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.get_triplets">(core.models.gemnet.GemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.get_triplets">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.get_triplets">(core.models.gemnet_gp.GraphParallelGemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/interaction_indices/index.html#core.models.gemnet_oc.interaction_indices.get_triplets">(in module core.models.gemnet_oc.interaction_indices)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.get_volumes">get_volumes() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.get_volumes">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.get_weight_table">get_weight_table() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.get_world_size">get_world_size() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.PGConfig.gp_group_size">gp_group_size (core.common.test_utils.PGConfig attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grad_forces">grad_forces (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grad_forces">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.grad_forces">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.grad_forces">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.grad_forces">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.grad_forces">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.grad_forces">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData">GraphData (class in core.models.base)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.GraphDropPath">GraphDropPath (class in core.models.equiformer_v2.drop)</a>
+</li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphModelMixin">GraphModelMixin (class in core.models.base)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT">GraphParallelGemNetT (class in core.models.gemnet_gp)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT">(class in core.models.gemnet_gp.gemnet)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/initializers/index.html#core.models.gemnet_oc.initializers.grid_init">grid_init() (in module core.models.gemnet_oc.initializers)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.grid_resolution">grid_resolution (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.grid_resolution">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.grid_resolution">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_factor">growth_factor (core.models.gemnet_oc.layers.force_scaler.ForceScaler attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.growth_interval">growth_interval (core.models.gemnet_oc.layers.force_scaler.ForceScaler attribute)</a>
+</li>
+      <li><a href="autoapi/core/datasets/target_metadata_guesser/index.html#core.datasets.target_metadata_guesser.guess_property_metadata">guess_property_metadata() (in module core.datasets.target_metadata_guesser)</a>
+</li>
+      <li><a href="autoapi/core/datasets/target_metadata_guesser/index.html#core.datasets.target_metadata_guesser.guess_target_metadata">guess_target_metadata() (in module core.datasets.target_metadata_guesser)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="H">H</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.H0">H0 (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.H0">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.has_surface_changed">has_surface_changed() (data.oc.utils.DetectTrajAnomaly method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.has_surface_changed">(data.oc.utils.flag_anomaly.DetectTrajAnomaly method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.has_surface_tagged">has_surface_tagged() (data.oc.core.Slab method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.has_surface_tagged">(data.oc.core.slab.Slab method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/initializers/index.html#core.models.gemnet.initializers.he_orthogonal_init">he_orthogonal_init() (in module core.models.gemnet.initializers)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/initializers/index.html#core.models.gemnet_gp.initializers.he_orthogonal_init">(in module core.models.gemnet_gp.initializers)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/initializers/index.html#core.models.gemnet_oc.initializers.he_orthogonal_init">(in module core.models.gemnet_oc.initializers)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.HeadInterface">HeadInterface (class in core.models.base)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.hidden_channels">hidden_channels (core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.hidden_channels">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.hidden_channels">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.hidden_channels">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.hidden_channels">(core.models.escn.escn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.hidden_channels">(core.models.escn.escn.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.hidden_channels">(core.models.escn.escn.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.hidden_channels">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.hidden_channels">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.hidden_channels">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.hidden_channels">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.hidden_channels">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.hidden_channels">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.hidden_channels">(core.models.painn.painn.PaiNNMessage attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNOutput.hidden_channels">(core.models.painn.painn.PaiNNOutput attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNUpdate.hidden_channels">(core.models.painn.painn.PaiNNUpdate attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock.hidden_channels">(core.models.scn.scn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.hidden_channels">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.hidden_channels">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.hidden_channels_list">hidden_channels_list (core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.host">host (ocpapi.Client property)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.host">(ocpapi.client.Client property)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.host">(ocpapi.client.client.Client property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.HydraModel">HydraModel (class in core.models.base)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.hydrostatic_strain">hydrostatic_strain (core.common.relaxation.optimizable.OptimizableUnitCellBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.hydrostatic_strain">(core.common.relaxation.OptimizableUnitCellBatch attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="I">I</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Model.id">id (ocpapi.client.Model attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Model.id">(ocpapi.client.models.Model attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Model.id">(ocpapi.Model attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.ids">ids (core.datasets.ase_datasets.AseAtomsDataset attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase.ids">(core.datasets.lmdb_database.LMDBDatabase attribute)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase.ids">(core.datasets.LMDBDatabase attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.ignored_changes">ignored_changes (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.ignored_changes">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.OCPCalculator.implemented_properties">implemented_properties (core.common.relaxation.ase_utils.OCPCalculator attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSwiGLU.in_channels">in_channels (core.models.equiformer_v2.activation.ScaledSwiGLU attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SwiGLU.in_channels">(core.models.equiformer_v2.activation.SwiGLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.in_channels">(core.models.escn.escn.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.in_channels">(core.models.escn.escn_exportable.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.in_channels">(core.models.scn.scn.DistanceBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Linear.in_features">in_features (core.models.equiformer_v2.so3.SO3_Linear attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_LinearV2.in_features">(core.models.equiformer_v2.so3.SO3_LinearV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_defective">index_drop_ddec_defective (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.index_drop_ddec_pristine">index_drop_ddec_pristine (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.index_fn">index_fn (core.modules.scaling.scale_factor.ScaleFactor attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.index_fn">(core.modules.scaling.ScaleFactor attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.IndexFn">IndexFn (in module core.modules.scaling.scale_factor)</a>
+</li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.BaseDataset.indices">indices (core.datasets.base_dataset.BaseDataset property)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.Subset.indices">(core.datasets.base_dataset.Subset attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.infile">infile (in module data.odac.force_field.FF_analysis)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/module_list/index.html#core.models.equiformer_v2.module_list.ModuleListInfo.info_str">info_str (core.models.equiformer_v2.module_list.ModuleListInfo attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.init_atoms">init_atoms (data.oc.utils.DetectTrajAnomaly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.init_atoms">(data.oc.utils.flag_anomaly.DetectTrajAnomaly attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.init_basis_functions">init_basis_functions() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.init_basis_functions">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/edge_rot_mat/index.html#core.models.equiformer_v2.edge_rot_mat.init_edge_rot_mat">init_edge_rot_mat() (in module core.models.equiformer_v2.edge_rot_mat)</a>
+</li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.init_env_rank_and_launch_test">init_env_rank_and_launch_test() (in module core.common.test_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.init_local_distributed_process_group">init_local_distributed_process_group() (in module core.common.test_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.init_pg_and_rank_and_launch_test">init_pg_and_rank_and_launch_test() (in module core.common.test_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.init_shared_basis_layers">init_shared_basis_layers() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.init_shared_basis_layers">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger.init_wandb">init_wandb() (core.common.logger.WandBSingletonLogger class method)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.initialize_">initialize_() (core.modules.scaling.scale_factor.ScaleFactor method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.initialize_">(core.modules.scaling.ScaleFactor method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid.initialized">initialized (core.models.escn.so3.SO3_Grid attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger.initialized">initialized() (core.common.logger.WandBSingletonLogger class method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.initialized">(in module core.common.distutils)</a>
+</li>
+        <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.initialized">(in module core.common.gp_utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitWignerDMatrix">InitWignerDMatrix() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitYRotMapping">InitYRotMapping() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.inner_product_clamped">inner_product_clamped() (in module core.models.gemnet_oc.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/utils/index.html#core.models.gemnet.utils.inner_product_normalized">inner_product_normalized() (in module core.models.gemnet.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#core.models.gemnet_gp.utils.inner_product_normalized">(in module core.models.gemnet_gp.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSiLU.inplace">inplace (core.models.equiformer_v2.activation.ScaledSiLU attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/experimental/get_energies/index.html#data.oc.experimental.get_energies.input_folder">input_folder (in module data.oc.experimental.get_energies)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.int_blocks">int_blocks (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.int_blocks">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.int_blocks">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.int_blocks">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.int_blocks">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.int_blocks">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.ForkedPdb.interaction">interaction() (core.common.test_utils.ForkedPdb method)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.interaction_blocks">interaction_blocks (core.models.dimenet_plus_plus.DimeNetPlusPlus attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock">InteractionBlock (class in core.models.gemnet_oc.layers.interaction_block)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly">InteractionBlockTripletsOnly (class in core.models.gemnet.layers.interaction_block)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly">(class in core.models.gemnet_gp.layers.interaction_block)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock">InteractionPPBlock (class in core.models.dimenet_plus_plus)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig">InterfaceConfig (class in data.oc.core)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig">(class in data.oc.core.interface_config)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.intermediate_energies">intermediate_energies (cattsunami.core.OCPNEB attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.intermediate_energies">(cattsunami.core.ocpneb.OCPNEB attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.intermediate_forces">intermediate_forces (cattsunami.core.OCPNEB attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.intermediate_forces">(cattsunami.core.ocpneb.OCPNEB attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.internal_weights">internal_weights (core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.internal_weights">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.interpolate">interpolate() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.interpolate_and_correct_frames">interpolate_and_correct_frames() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.interstitial_gap">interstitial_gap (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.interstitial_gap">(data.oc.core.AdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.interstitial_gap">(data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.MultipleAdsorbateSlabConfig.interstitial_gap">(data.oc.core.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.RadialBasis.inv_cutoff">inv_cutoff (core.models.gemnet.layers.radial_basis.RadialBasis attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.RadialBasis.inv_cutoff">(core.models.gemnet_gp.layers.radial_basis.RadialBasis attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.RadialBasis.inv_cutoff">(core.models.gemnet_oc.layers.radial_basis.RadialBasis attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.ResidualLayer.inv_sqrt_2">inv_sqrt_2 (core.models.gemnet.layers.base_layers.ResidualLayer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2">(core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.inv_sqrt_2">(core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.ResidualLayer.inv_sqrt_2">(core.models.gemnet_gp.layers.base_layers.ResidualLayer attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.inv_sqrt_2">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.inv_sqrt_2">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.ResidualLayer.inv_sqrt_2">(core.models.gemnet_oc.layers.base_layers.ResidualLayer attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_2">(core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.PairInteraction.inv_sqrt_2">(core.models.gemnet_oc.layers.interaction_block.PairInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.inv_sqrt_2">(core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.inv_sqrt_2">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.inv_sqrt_2">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.inv_sqrt_2">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNUpdate.inv_sqrt_2">(core.models.painn.painn.PaiNNUpdate attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.inv_sqrt_3">inv_sqrt_3 (core.models.painn.painn.PaiNNMessage attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.inv_sqrt_h">inv_sqrt_h (core.models.painn.painn.PaiNNMessage attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNUpdate.inv_sqrt_h">(core.models.painn.painn.PaiNNUpdate attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_aint">inv_sqrt_num_aint (core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.inv_sqrt_num_eint">inv_sqrt_num_eint (core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Ion">Ion (class in data.oc.core)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/ion/index.html#data.oc.core.ion.Ion">(class in data.oc.core.ion)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Ion.ion_db_path">ion_db_path (data.oc.core.Ion attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/ion/index.html#data.oc.core.ion.Ion.ion_db_path">(data.oc.core.ion.Ion attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Ion.ion_id_from_db">ion_id_from_db (data.oc.core.Ion attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/ion/index.html#data.oc.core.ion.Ion.ion_id_from_db">(data.oc.core.ion.Ion attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/databases/pkls/index.html#data.oc.databases.pkls.ION_PKL_PATH">ION_PKL_PATH (in module data.oc.databases.pkls)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.ions">ions (data.oc.core.interface_config.InterfaceConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.ions">(data.oc.core.InterfaceConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.irrep2_MLP">irrep2_MLP (core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropout.irreps">irreps (core.models.equiformer_v2.drop.EquivariantDropout attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantScalarsDropout.irreps">(core.models.equiformer_v2.drop.EquivariantScalarsDropout attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.irreps_sh">irreps_sh (core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.irreps_sum">irreps_sum() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.is_adsorbate_adsorbed">is_adsorbate_adsorbed() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.is_adsorbate_desorbed">is_adsorbate_desorbed() (data.oc.utils.DetectTrajAnomaly method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_desorbed">(data.oc.utils.flag_anomaly.DetectTrajAnomaly method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.is_adsorbate_dissociated">is_adsorbate_dissociated() (data.oc.utils.DetectTrajAnomaly method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_dissociated">(data.oc.utils.flag_anomaly.DetectTrajAnomaly method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.is_adsorbate_intercalated">is_adsorbate_intercalated() (data.oc.utils.DetectTrajAnomaly method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.is_adsorbate_intercalated">(data.oc.utils.flag_anomaly.DetectTrajAnomaly method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.is_debug">is_debug (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.is_debug">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.is_edge_list_respected">is_edge_list_respected() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.is_failed_sp">is_failed_sp() (in module cattsunami.run_validation.run_validation)</a>
+</li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.is_master">is_master() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.is_structure_invertible">is_structure_invertible() (in module data.oc.core.slab)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.is_structure_invertible">(in module data.oc.scripts.precompute_sample_structures)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html#adsorbml.2023_neurips_challenge.challenge_eval.is_successful">is_successful() (in module adsorbml.2023_neurips_challenge.challenge_eval)</a>
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#adsorbml.scripts.dense_eval.is_successful">(in module adsorbml.scripts.dense_eval)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.iterimages">iterimages() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.iterimages">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="J">J</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet/layers/basis_utils/index.html#core.models.gemnet.layers.basis_utils.Jn">Jn() (in module core.models.gemnet.layers.basis_utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/basis_utils/index.html#core.models.gemnet_gp.layers.basis_utils.Jn">(in module core.models.gemnet_gp.layers.basis_utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#core.models.gemnet_oc.layers.basis_utils.Jn">(in module core.models.gemnet_oc.layers.basis_utils)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet/layers/basis_utils/index.html#core.models.gemnet.layers.basis_utils.Jn_zeros">Jn_zeros() (in module core.models.gemnet.layers.basis_utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/basis_utils/index.html#core.models.gemnet_gp.layers.basis_utils.Jn_zeros">(in module core.models.gemnet_gp.layers.basis_utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#core.models.gemnet_oc.layers.basis_utils.Jn_zeros">(in module core.models.gemnet_oc.layers.basis_utils)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="K">K</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.keep_all_slabs">keep_all_slabs (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.keep_all_slabs">(class in ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#ocpapi.workflows.filter.keep_all_slabs">(class in ocpapi.workflows.filter)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.keep_slabs_with_miller_indices">keep_slabs_with_miller_indices (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.keep_slabs_with_miller_indices">(class in ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#ocpapi.workflows.filter.keep_slabs_with_miller_indices">(class in ocpapi.workflows.filter)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.key_mapping">key_mapping (core.datasets.ase_datasets.AseAtomsDataset attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.LmdbDataset.key_mapping">(core.datasets.lmdb_dataset.LmdbDataset attribute)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LmdbDataset.key_mapping">(core.datasets.LmdbDataset attribute)</a>
+</li>
+        <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.key_mapping">(core.datasets.oc22_lmdb_dataset.OC22LmdbDataset attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/embeddings/index.html#core.datasets.embeddings.KHOT_EMBEDDINGS">KHOT_EMBEDDINGS (in module core.datasets.embeddings)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/embeddings/khot_embeddings/index.html#core.datasets.embeddings.khot_embeddings.KHOT_EMBEDDINGS">(in module core.datasets.embeddings.khot_embeddings)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="L">L</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.L2NormLoss">L2NormLoss (class in core.modules.loss)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.l_harmonic">l_harmonic (core.models.escn.so3.CoefficientMapping attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/hpo_utils/index.html#core.common.hpo_utils.label_metric_dict">label_metric_dict() (in module core.common.hpo_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Grid.lat_resolution">lat_resolution (core.models.equiformer_v2.so3.SO3_Grid attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid.lat_resolution">(core.models.escn.so3.SO3_Grid attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.SO3_Grid.lat_resolution">(core.models.escn.so3_exportable.SO3_Grid attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.layer_blocks">layer_blocks (core.models.escn.eSCN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.layer_blocks">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.layer_blocks">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.layer_idx">layer_idx (core.models.escn.escn.LayerBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.layer_idx">(core.models.escn.escn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.layer_idx">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.layer_idx">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock">LayerBlock (class in core.models.escn.escn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock">(class in core.models.escn.escn_exportable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.layers">layers (core.models.gemnet.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.layers">(core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.layers">(core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SIREN.layers">(core.models.utils.basis.SIREN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.layers_after_skip">layers_after_skip (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip">(core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_after_skip">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_after_skip">(core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.layers_before_skip">layers_before_skip (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip">(core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.layers_before_skip">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.layers_before_skip">(core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS">LBFGS (class in core.common.relaxation.optimizers)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS">(class in core.common.relaxation.optimizers.lbfgs_torch)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.BoxGeometry.length">length (data.oc.utils.geometry.BoxGeometry attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Lifetime">Lifetime (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.Lifetime">(class in ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.Lifetime">(class in ocpapi.workflows.adsorbates)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.lin">lin (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.OutputPPBlock.lin">(core.models.dimenet_plus_plus.OutputPPBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.lin_down">lin_down (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.lin_ji">lin_ji (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.lin_kj">lin_kj (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.OutputPPBlock.lin_rbf">lin_rbf (core.models.dimenet_plus_plus.OutputPPBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf1">lin_rbf1 (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.lin_rbf2">lin_rbf2 (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.BaseDataset.lin_ref">lin_ref (core.datasets.base_dataset.BaseDataset attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf1">lin_sbf1 (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.lin_sbf2">lin_sbf2 (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.lin_up">lin_up (core.models.dimenet_plus_plus.InteractionPPBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.OutputPPBlock.lin_up">(core.models.dimenet_plus_plus.OutputPPBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.Dense.linear">linear (core.models.gemnet.layers.base_layers.Dense attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.Dense.linear">(core.models.gemnet_gp.layers.base_layers.Dense attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.Dense.linear">(core.models.gemnet_oc.layers.base_layers.Dense attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Linear.linear_list">linear_list (core.models.equiformer_v2.so3.SO3_Linear attribute)</a>
+</li>
+      <li><a href="autoapi/core/modules/normalization/element_references/index.html#core.modules.normalization.element_references.LinearReferences">LinearReferences (class in core.modules.normalization.element_references)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.LinearSigmoidSmearing">LinearSigmoidSmearing (class in core.models.scn.smearing)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.OutputPPBlock.lins">lins (core.models.dimenet_plus_plus.OutputPPBlock attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ll_corner">ll_corner (data.oc.utils.geometry.PlaneBoundTriclinicGeometry attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.GateActivation.lmax">lmax (core.models.equiformer_v2.activation.GateActivation attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.S2Activation.lmax">(core.models.equiformer_v2.activation.S2Activation attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SeparableS2Activation.lmax">(core.models.equiformer_v2.activation.SeparableS2Activation attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.lmax">(core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.lmax">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.lmax">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.lmax">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.lmax">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Grid.lmax">(core.models.equiformer_v2.so3.SO3_Grid attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Linear.lmax">(core.models.equiformer_v2.so3.SO3_Linear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_LinearV2.lmax">(core.models.equiformer_v2.so3.SO3_LinearV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Rotation.lmax">(core.models.equiformer_v2.so3.SO3_Rotation attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.lmax">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.lmax">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.lmax">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.lmax">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.lmax">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid.lmax">(core.models.escn.so3.SO3_Grid attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.SO3_Grid.lmax">(core.models.escn.so3_exportable.SO3_Grid attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.lmax">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.lmax">(core.models.scn.spherical_harmonics.SphericalHarmonicsHelper attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.lmax">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.lmax_list">lmax_list (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.lmax_list">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.lmax_list">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.lmax_list">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.lmax_list">(core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.lmax_list">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.lmax_list">(core.models.equiformer_v2.so2_ops.SO2_m_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.lmax_list">(core.models.equiformer_v2.so3.CoefficientMappingModule attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.lmax_list">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.lmax_list">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.lmax_list">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.lmax_list">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.lmax_list">(core.models.escn.escn.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.lmax_list">(core.models.escn.escn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.lmax_list">(core.models.escn.escn.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.lmax_list">(core.models.escn.escn.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.lmax_list">(core.models.escn.so3.CoefficientMapping attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.lmax_list">(core.models.escn.so3_exportable.CoefficientMapping attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase">LMDBDatabase (class in core.datasets)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase">(class in core.datasets.lmdb_database)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/index.html#core.datasets.LmdbDataset">LmdbDataset (class in core.datasets)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.LmdbDataset">(class in core.datasets.lmdb_dataset)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load">load() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.load_checkpoint">load_checkpoint() (cattsunami.core.OCPNEB method)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.load_checkpoint">(cattsunami.core.ocpneb.OCPNEB method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.OCPCalculator.load_checkpoint">(core.common.relaxation.ase_utils.OCPCalculator method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_checkpoint">(core.trainers.base_trainer.BaseTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_checkpoint">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.load_config">load_config() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_datasets">load_datasets() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_datasets">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.load_energy_lin_ref">load_energy_lin_ref (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.load_energy_lin_ref">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.load_energy_lin_ref">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/energy_trainer/index.html#core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer.load_extras">load_extras() (core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/forces_trainer/index.html#core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer.load_extras">(core.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_extras">(core.trainers.base_trainer.BaseTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_extras">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_logger">load_logger() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_logger">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_loss">load_loss() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_loss">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_model">load_model() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_model">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.load_model_and_weights_from_checkpoint">load_model_and_weights_from_checkpoint() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/modules/normalization/normalizer/index.html#core.modules.normalization.normalizer.load_normalizers_from_config">load_normalizers_from_config() (in module core.modules.normalization.normalizer)</a>
+</li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_optimizer">load_optimizer() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_optimizer">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_references_and_normalizers">load_references_and_normalizers() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_references_and_normalizers">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/normalization/element_references/index.html#core.modules.normalization.element_references.load_references_from_config">load_references_from_config() (in module core.modules.normalization.element_references)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/compat/index.html#core.modules.scaling.compat.load_scales_compat">load_scales_compat() (in module core.modules.scaling.compat)</a>
+</li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_seed_from_config">load_seed_from_config() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_seed_from_config">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/components/runner/index.html#core.components.runner.MockRunner.load_state">load_state() (core.components.runner.MockRunner method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/components/runner/index.html#core.components.runner.Runner.load_state">(core.components.runner.Runner method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.load_state_dict">load_state_dict() (core.modules.exponential_moving_average.ExponentialMovingAverage method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/normalization/normalizer/index.html#core.modules.normalization.normalizer.Normalizer.load_state_dict">(core.modules.normalization.normalizer.Normalizer method)</a>
+</li>
+        <li><a href="autoapi/core/common/utils/index.html#core.common.utils.load_state_dict">(in module core.common.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.load_task">load_task() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.load_task">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/log/index.html#ocpapi.workflows.log.log">log (in module ocpapi.workflows.log)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.Logger.log">log() (core.common.logger.Logger method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.TensorboardLogger.log">(core.common.logger.TensorboardLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBLogger.log">(core.common.logger.WandBLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger.log">(core.common.logger.WandBSingletonLogger method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.Logger.log_artifact">log_artifact() (core.common.logger.Logger method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.TensorboardLogger.log_artifact">(core.common.logger.TensorboardLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBLogger.log_artifact">(core.common.logger.WandBLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger.log_artifact">(core.common.logger.WandBSingletonLogger method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/initializers/index.html#core.models.gemnet_oc.initializers.log_grid_init">log_grid_init() (in module core.models.gemnet_oc.initializers)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.Logger.log_plots">log_plots() (core.common.logger.Logger method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.TensorboardLogger.log_plots">(core.common.logger.TensorboardLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBLogger.log_plots">(core.common.logger.WandBLogger method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.log_stats">log_stats() (in module core.common.logger)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.Logger.log_summary">log_summary() (core.common.logger.Logger method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.TensorboardLogger.log_summary">(core.common.logger.TensorboardLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBLogger.log_summary">(core.common.logger.WandBLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger.log_summary">(core.common.logger.WandBSingletonLogger method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBLogger.log_table">log_table() (core.common.logger.WandBLogger method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger.log_table">(core.common.logger.WandBSingletonLogger method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.Logger">Logger (class in core.common.logger)</a>
+</li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.StructureGenerator.logger">logger (data.oc.structure_generator.StructureGenerator attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/_cli_hydra/index.html#core._cli_hydra.logger">(in module core._cli_hydra)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.RateLimitLogging.logger">(ocpapi.RateLimitLogging attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.RateLimitLogging.logger">(ocpapi.workflows.RateLimitLogging attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry.RateLimitLogging.logger">(ocpapi.workflows.retry.RateLimitLogging attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.MAELoss.loss">loss (core.modules.loss.MAELoss attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.MSELoss.loss">(core.modules.loss.MSELoss attribute)</a>
+</li>
+        <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.PerAtomMAELoss.loss">(core.modules.loss.PerAtomMAELoss attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.DDPLoss.loss_fn">loss_fn (core.modules.loss.DDPLoss attribute)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2">lowest_energy_data_co2 (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co2_defective">lowest_energy_data_co2_defective (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads">lowest_energy_data_co_ads (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2">lowest_energy_data_co_ads_2 (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_2_defective">lowest_energy_data_co_ads_2_defective (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_co_ads_defective">lowest_energy_data_co_ads_defective (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o">lowest_energy_data_h2o (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.lowest_energy_data_h2o_defective">lowest_energy_data_h2o_defective (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_decay_epochs">lr_decay_epochs (core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_gamma">lr_gamma (core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_min_factor">lr_min_factor (core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.lr_warmup_factor">lr_warmup_factor (core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.lr_warmup_factor">(core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler">LRScheduler (class in core.models.equiformer_v2.trainers.lr_scheduler)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scheduler/index.html#core.modules.scheduler.LRScheduler">(class in core.modules.scheduler)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="M">M</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m">m (core.models.equiformer_v2.so2_ops.SO2_m_Convolution attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.m">(core.models.escn.escn.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.m">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SphericalSmearing.m">(core.models.utils.basis.SphericalSmearing attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_0_num_coefficients">m_0_num_coefficients (core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.m_all_num_coefficents">m_all_num_coefficents (core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.m_complex">m_complex (core.models.escn.so3.CoefficientMapping attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.m_harmonic">m_harmonic (core.models.escn.so3.CoefficientMapping attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.m_output_channels">m_output_channels (core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.m_output_channels">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.m_output_channels">(core.models.equiformer_v2.so2_ops.SO2_m_Convolution attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.m_size">m_size (core.models.escn.so3.CoefficientMapping attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.m_size">(core.models.escn.so3_exportable.CoefficientMapping attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.mae">mae() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.MAELoss">MAELoss (class in core.modules.loss)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.magnitude_error">magnitude_error() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html#adsorbml.2023_neurips_challenge.challenge_eval.main">main() (in module adsorbml.2023_neurips_challenge.challenge_eval)</a>
+
+      <ul>
+        <li><a href="autoapi/core/_cli/index.html#core._cli.main">(in module core._cli)</a>
+</li>
+        <li><a href="autoapi/core/_cli_hydra/index.html#core._cli_hydra.main">(in module core._cli_hydra)</a>
+</li>
+        <li><a href="autoapi/core/scripts/hpo/run_tune/index.html#core.scripts.hpo.run_tune.main">(in module core.scripts.hpo.run_tune)</a>
+</li>
+        <li><a href="autoapi/core/scripts/hpo/run_tune_pbt/index.html#core.scripts.hpo.run_tune_pbt.main">(in module core.scripts.hpo.run_tune_pbt)</a>
+</li>
+        <li><a href="autoapi/core/scripts/make_challenge_submission_file/index.html#core.scripts.make_challenge_submission_file.main">(in module core.scripts.make_challenge_submission_file)</a>
+</li>
+        <li><a href="autoapi/core/scripts/make_submission_file/index.html#core.scripts.make_submission_file.main">(in module core.scripts.make_submission_file)</a>
+</li>
+        <li><a href="autoapi/core/scripts/preprocess_ef/index.html#core.scripts.preprocess_ef.main">(in module core.scripts.preprocess_ef)</a>
+</li>
+        <li><a href="autoapi/core/scripts/preprocess_relaxed/index.html#core.scripts.preprocess_relaxed.main">(in module core.scripts.preprocess_relaxed)</a>
+</li>
+        <li><a href="autoapi/core/scripts/uncompress/index.html#core.scripts.uncompress.main">(in module core.scripts.uncompress)</a>
+</li>
+        <li><a href="autoapi/data/oc/experimental/merge_traj/index.html#data.oc.experimental.merge_traj.main">(in module data.oc.experimental.merge_traj)</a>
+</li>
+        <li><a href="autoapi/data/oc/experimental/perturb_systems/index.html#data.oc.experimental.perturb_systems.main">(in module data.oc.experimental.perturb_systems)</a>
+</li>
+        <li><a href="autoapi/data/oc/experimental/rattle_test/index.html#data.oc.experimental.rattle_test.main">(in module data.oc.experimental.rattle_test)</a>
+</li>
+        <li><a href="autoapi/data/om/biomolecules/geom/sample_geom_drugs/index.html#data.om.biomolecules.geom.sample_geom_drugs.main">(in module data.om.biomolecules.geom.sample_geom_drugs)</a>
+</li>
+        <li><a href="autoapi/data/om/biomolecules/geom/write_geom_drugs_structures/index.html#data.om.biomolecules.geom.write_geom_drugs_structures.main">(in module data.om.biomolecules.geom.write_geom_drugs_structures)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/scripts/make_lmdb_sizes/index.html#core.scripts.make_lmdb_sizes.make_lmdb_sizes">make_lmdb_sizes() (in module core.scripts.make_lmdb_sizes)</a>
+</li>
+      <li><a href="autoapi/core/_cli_hydra/index.html#core._cli_hydra.map_cli_args_to_dist_config">map_cli_args_to_dist_config() (in module core._cli_hydra)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.mapping">mapping (core.common.registry.Registry attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Grid.mapping">(core.models.equiformer_v2.so3.SO3_Grid attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Rotation.mapping">(core.models.equiformer_v2.so3.SO3_Rotation attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.SO3_Grid.mapping">(core.models.escn.so3_exportable.SO3_Grid attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mappingReduced">mappingReduced (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mappingReduced">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.mappingReduced">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mappingReduced">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.mappingReduced">(core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.mappingReduced">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mappingReduced">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.mappingReduced">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Lifetime.MARK_EPHEMERAL">MARK_EPHEMERAL (ocpapi.Lifetime attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.Lifetime.MARK_EPHEMERAL">(ocpapi.workflows.adsorbates.Lifetime attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.Lifetime.MARK_EPHEMERAL">(ocpapi.workflows.Lifetime attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.Logger.mark_preempting">mark_preempting() (core.common.logger.Logger method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.TensorboardLogger.mark_preempting">(core.common.logger.TensorboardLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBLogger.mark_preempting">(core.common.logger.WandBLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger.mark_preempting">(core.common.logger.WandBSingletonLogger method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.mask_converged">mask_converged (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.mask_converged">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.mask_indices_cache">mask_indices_cache (core.models.equiformer_v2.so3.CoefficientMappingModule attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/utils/index.html#core.models.gemnet.utils.mask_neighbors">mask_neighbors() (in module core.models.gemnet.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#core.models.gemnet_gp.utils.mask_neighbors">(in module core.models.gemnet_gp.utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.mask_neighbors">(in module core.models.gemnet_oc.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.masked_select_sparsetensor_flat">masked_select_sparsetensor_flat() (in module core.models.gemnet_oc.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.match_state_dict">match_state_dict() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.max_epochs">max_epochs (core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.max_force_iters">max_force_iters (core.models.gemnet_oc.layers.force_scaler.ForceScaler attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.SeverityLevelBetween.max_level">max_level (core.common.utils.SeverityLevelBetween attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.max_lmax">max_lmax (core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.MAX_MILLER">MAX_MILLER (in module data.oc.scripts.precompute_sample_structures)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SphericalSmearing.max_n">max_n (core.models.utils.basis.SphericalSmearing attribute)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.max_neigh">max_neigh (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id0">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.max_neigh">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id0">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.max_neighbors">max_neighbors (core.models.dimenet_plus_plus.DimeNetPlusPlusWrap attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_neighbors">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_neighbors">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.max_neighbors">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.max_neighbors">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.max_neighbors">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.max_neighbors">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.max_neighbors">(core.models.gemnet.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.max_neighbors">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.max_neighbors">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.max_neighbors">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.max_neighbors">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.max_neighbors">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.max_neighbors">(core.models.schnet.SchNetWrap attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_num_elements">max_num_elements (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_num_elements">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.max_num_elements">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.max_num_elements">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.max_num_elements">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.max_num_elements">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.max_num_elements">(core.models.escn.escn.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.max_num_elements">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.max_num_elements">(core.models.escn.escn_exportable.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.max_num_elements">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.max_num_elements">(core.models.scn.scn.DistanceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.max_num_elements">(core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.max_num_elements">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.max_num_elements">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.max_radius">max_radius (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.max_radius">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.max_radius">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.maxstep">maxstep (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.maxstep">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/vasp_flags/index.html#data.oc.utils.vasp_flags.MD_FLAGS">MD_FLAGS (in module data.oc.utils.vasp_flags)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean">mean (core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+</li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.DDPLoss.mean">mean() (core.modules.loss.DDPLoss method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_max">mean_init_max (core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.mean_init_min">mean_init_min (core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.memory">memory (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.memory">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.merge_dicts">merge_dicts() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.message">message() (core.models.painn.painn.PaiNNMessage method)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.message_block">message_block (core.models.escn.escn.LayerBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.message_block">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.message_blocks">message_blocks (core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.message_layers">message_layers (core.models.painn.PaiNN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.message_layers">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock">MessageBlock (class in core.models.escn.escn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock">(class in core.models.escn.escn_exportable)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock">(class in core.models.scn.scn)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.Subset.metadata">metadata (core.datasets.base_dataset.Subset attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase.metadata">(core.datasets.lmdb_database.LMDBDatabase property)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase.metadata">(core.datasets.LMDBDatabase property)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Slab.metadata">(ocpapi.client.models.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Slab.metadata">(ocpapi.client.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Slab.metadata">(ocpapi.Slab attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.BaseDataset.metadata_hasattr">metadata_hasattr() (core.datasets.base_dataset.BaseDataset method)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.metrics_dict">metrics_dict() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.millers">millers (data.oc.core.Slab attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.millers">(data.oc.core.slab.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.SlabMetadata.millers">(ocpapi.client.models.SlabMetadata attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.SlabMetadata.millers">(ocpapi.client.SlabMetadata attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.SlabMetadata.millers">(ocpapi.SlabMetadata attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/adsorbml/scripts/process_mlrs/index.html#adsorbml.scripts.process_mlrs.min_diff">min_diff() (in module adsorbml.scripts.process_mlrs)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.min_diff">(in module core.modules.evaluator)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.SeverityLevelBetween.min_level">min_level (core.common.utils.SeverityLevelBetween attribute)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC">missing_DDEC (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_defective">missing_DDEC_defective (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.missing_DDEC_pristine">missing_DDEC_pristine (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.ml_relax">ml_relax() (in module core.common.relaxation)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/ml_relaxation/index.html#core.common.relaxation.ml_relaxation.ml_relax">(in module core.common.relaxation.ml_relaxation)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_cbf">mlp_cbf (core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_cbf">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_cbf">(core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_cbf">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.mlp_cbf3">mlp_cbf3 (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.mlp_cbf3">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_cbf3">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.mlp_cbf3">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.mlp_rbf">mlp_rbf (core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.mlp_rbf">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_rbf">(core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.mlp_rbf">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.mlp_rbf3">mlp_rbf3 (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.mlp_rbf3">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf3">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf3">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.mlp_rbf_h">mlp_rbf_h (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.mlp_rbf_h">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_h">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_h">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.mlp_rbf_out">mlp_rbf_out (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.mlp_rbf_out">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.mlp_rbf_out">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.mlp_rbf_out">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.mlp_sbf">mlp_sbf (core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.GateActivation.mmax">mmax (core.models.equiformer_v2.activation.GateActivation attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.S2Activation.mmax">(core.models.equiformer_v2.activation.S2Activation attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SeparableS2Activation.mmax">(core.models.equiformer_v2.activation.SeparableS2Activation attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Grid.mmax">(core.models.equiformer_v2.so3.SO3_Grid attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.mmax">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.mmax">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.mmax">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.mmax">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.mmax">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid.mmax">(core.models.escn.so3.SO3_Grid attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.SO3_Grid.mmax">(core.models.escn.so3_exportable.SO3_Grid attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.mmax">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.mmax">(core.models.scn.spherical_harmonics.SphericalHarmonicsHelper attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.mmax">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.mmax_list">mmax_list (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.mmax_list">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.mmax_list">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.mmax_list">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.mmax_list">(core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.mmax_list">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.mmax_list">(core.models.equiformer_v2.so2_ops.SO2_m_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.mmax_list">(core.models.equiformer_v2.so3.CoefficientMappingModule attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.mmax_list">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.mmax_list">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.mmax_list">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.mmax_list">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.mmax_list">(core.models.escn.escn.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.mmax_list">(core.models.escn.escn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.mmax_list">(core.models.escn.escn.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.mmax_list">(core.models.escn.escn.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.mmax_list">(core.models.escn.so3.CoefficientMapping attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.mmax_list">(core.models.escn.so3_exportable.CoefficientMapping attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/components/runner/index.html#core.components.runner.MockRunner">MockRunner (class in core.components.runner)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.mode">mode (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.mode">(data.oc.core.AdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.mode">(data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.MultipleAdsorbateSlabConfig.mode">(data.oc.core.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Model">Model (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Model">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Model">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateBindingSites.model">model (ocpapi.AdsorbateBindingSites attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsRequest.model">(ocpapi.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsRequest.model">(ocpapi.client.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.model">(ocpapi.client.models.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateBindingSites.model">(ocpapi.workflows.AdsorbateBindingSites attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateBindingSites.model">(ocpapi.workflows.adsorbates.AdsorbateBindingSites attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/index.html#core.models.model_name_to_local_file">model_name_to_local_file() (in module core.models)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/model_registry/index.html#core.models.model_registry.model_name_to_local_file">(in module core.models.model_registry)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/model_registry/index.html#core.models.model_registry.MODEL_REGISTRY">MODEL_REGISTRY (in module core.models.model_registry)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Models">Models (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Models">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Models">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Models.models">models (ocpapi.client.Models attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Models.models">(ocpapi.client.models.Models attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Models.models">(ocpapi.Models attribute)</a>
+</li>
+      </ul></li>
+      <li>
+    module
+
+      <ul>
+        <li><a href="autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html#module-adsorbml.2023_neurips_challenge.challenge_eval">adsorbml.2023_neurips_challenge.challenge_eval</a>
+</li>
+        <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#module-adsorbml.scripts.dense_eval">adsorbml.scripts.dense_eval</a>
+</li>
+        <li><a href="autoapi/adsorbml/scripts/process_mlrs/index.html#module-adsorbml.scripts.process_mlrs">adsorbml.scripts.process_mlrs</a>
+</li>
+        <li><a href="autoapi/adsorbml/scripts/utils/index.html#module-adsorbml.scripts.utils">adsorbml.scripts.utils</a>
+</li>
+        <li><a href="autoapi/adsorbml/scripts/write_top_k_vasp/index.html#module-adsorbml.scripts.write_top_k_vasp">adsorbml.scripts.write_top_k_vasp</a>
+</li>
+        <li><a href="autoapi/cattsunami/index.html#module-cattsunami">cattsunami</a>
+</li>
+        <li><a href="autoapi/cattsunami/core/index.html#module-cattsunami.core">cattsunami.core</a>
+</li>
+        <li><a href="autoapi/cattsunami/core/autoframe/index.html#module-cattsunami.core.autoframe">cattsunami.core.autoframe</a>
+</li>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#module-cattsunami.core.ocpneb">cattsunami.core.ocpneb</a>
+</li>
+        <li><a href="autoapi/cattsunami/core/reaction/index.html#module-cattsunami.core.reaction">cattsunami.core.reaction</a>
+</li>
+        <li><a href="autoapi/cattsunami/databases/index.html#module-cattsunami.databases">cattsunami.databases</a>
+</li>
+        <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#module-cattsunami.run_validation.run_validation">cattsunami.run_validation.run_validation</a>
+</li>
+        <li><a href="autoapi/core/index.html#module-core">core</a>
+</li>
+        <li><a href="autoapi/core/_cli/index.html#module-core._cli">core._cli</a>
+</li>
+        <li><a href="autoapi/core/_cli_hydra/index.html#module-core._cli_hydra">core._cli_hydra</a>
+</li>
+        <li><a href="autoapi/core/common/index.html#module-core.common">core.common</a>
+</li>
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+        <li><a href="autoapi/core/modules/normalization/_load_utils/index.html#module-core.modules.normalization._load_utils">core.modules.normalization._load_utils</a>
+</li>
+        <li><a href="autoapi/core/modules/normalization/element_references/index.html#module-core.modules.normalization.element_references">core.modules.normalization.element_references</a>
+</li>
+        <li><a href="autoapi/core/modules/normalization/normalizer/index.html#module-core.modules.normalization.normalizer">core.modules.normalization.normalizer</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/index.html#module-core.modules.scaling">core.modules.scaling</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/compat/index.html#module-core.modules.scaling.compat">core.modules.scaling.compat</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/fit/index.html#module-core.modules.scaling.fit">core.modules.scaling.fit</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#module-core.modules.scaling.scale_factor">core.modules.scaling.scale_factor</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/util/index.html#module-core.modules.scaling.util">core.modules.scaling.util</a>
+</li>
+        <li><a href="autoapi/core/modules/scheduler/index.html#module-core.modules.scheduler">core.modules.scheduler</a>
+</li>
+        <li><a href="autoapi/core/modules/transforms/index.html#module-core.modules.transforms">core.modules.transforms</a>
+</li>
+        <li><a href="autoapi/core/preprocessing/index.html#module-core.preprocessing">core.preprocessing</a>
+</li>
+        <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#module-core.preprocessing.atoms_to_graphs">core.preprocessing.atoms_to_graphs</a>
+</li>
+        <li><a href="autoapi/core/scripts/index.html#module-core.scripts">core.scripts</a>
+</li>
+        <li><a href="autoapi/core/scripts/convert_hydra_to_release/index.html#module-core.scripts.convert_hydra_to_release">core.scripts.convert_hydra_to_release</a>
+</li>
+        <li><a href="autoapi/core/scripts/download_data/index.html#module-core.scripts.download_data">core.scripts.download_data</a>
+</li>
+        <li><a href="autoapi/core/scripts/download_large_files/index.html#module-core.scripts.download_large_files">core.scripts.download_large_files</a>
+</li>
+        <li><a href="autoapi/core/scripts/eqv2_to_hydra_eqv2/index.html#module-core.scripts.eqv2_to_hydra_eqv2">core.scripts.eqv2_to_hydra_eqv2</a>
+</li>
+        <li><a href="autoapi/core/scripts/fit_normalizers/index.html#module-core.scripts.fit_normalizers">core.scripts.fit_normalizers</a>
+</li>
+        <li><a href="autoapi/core/scripts/fit_references/index.html#module-core.scripts.fit_references">core.scripts.fit_references</a>
+</li>
+        <li><a href="autoapi/core/scripts/gif_maker_parallelized/index.html#module-core.scripts.gif_maker_parallelized">core.scripts.gif_maker_parallelized</a>
+</li>
+        <li><a href="autoapi/core/scripts/hpo/index.html#module-core.scripts.hpo">core.scripts.hpo</a>
+</li>
+        <li><a href="autoapi/core/scripts/hpo/run_tune/index.html#module-core.scripts.hpo.run_tune">core.scripts.hpo.run_tune</a>
+</li>
+        <li><a href="autoapi/core/scripts/hpo/run_tune_pbt/index.html#module-core.scripts.hpo.run_tune_pbt">core.scripts.hpo.run_tune_pbt</a>
+</li>
+        <li><a href="autoapi/core/scripts/make_challenge_submission_file/index.html#module-core.scripts.make_challenge_submission_file">core.scripts.make_challenge_submission_file</a>
+</li>
+        <li><a href="autoapi/core/scripts/make_lmdb_sizes/index.html#module-core.scripts.make_lmdb_sizes">core.scripts.make_lmdb_sizes</a>
+</li>
+        <li><a href="autoapi/core/scripts/make_submission_file/index.html#module-core.scripts.make_submission_file">core.scripts.make_submission_file</a>
+</li>
+        <li><a href="autoapi/core/scripts/preprocess_ef/index.html#module-core.scripts.preprocess_ef">core.scripts.preprocess_ef</a>
+</li>
+        <li><a href="autoapi/core/scripts/preprocess_relaxed/index.html#module-core.scripts.preprocess_relaxed">core.scripts.preprocess_relaxed</a>
+</li>
+        <li><a href="autoapi/core/scripts/uncompress/index.html#module-core.scripts.uncompress">core.scripts.uncompress</a>
+</li>
+        <li><a href="autoapi/core/tasks/index.html#module-core.tasks">core.tasks</a>
+</li>
+        <li><a href="autoapi/core/tasks/task/index.html#module-core.tasks.task">core.tasks.task</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#module-core.trainers">core.trainers</a>
+</li>
+        <li><a href="autoapi/core/trainers/base_trainer/index.html#module-core.trainers.base_trainer">core.trainers.base_trainer</a>
+</li>
+        <li><a href="autoapi/core/trainers/ocp_trainer/index.html#module-core.trainers.ocp_trainer">core.trainers.ocp_trainer</a>
+</li>
+        <li><a href="autoapi/data/index.html#module-data">data</a>
+</li>
+        <li><a href="autoapi/data/oc/index.html#module-data.oc">data.oc</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#module-data.oc.core">data.oc.core</a>
+</li>
+        <li><a href="autoapi/data/oc/core/adsorbate/index.html#module-data.oc.core.adsorbate">data.oc.core.adsorbate</a>
+</li>
+        <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#module-data.oc.core.adsorbate_slab_config">data.oc.core.adsorbate_slab_config</a>
+</li>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#module-data.oc.core.bulk">data.oc.core.bulk</a>
+</li>
+        <li><a href="autoapi/data/oc/core/interface_config/index.html#module-data.oc.core.interface_config">data.oc.core.interface_config</a>
+</li>
+        <li><a href="autoapi/data/oc/core/ion/index.html#module-data.oc.core.ion">data.oc.core.ion</a>
+</li>
+        <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#module-data.oc.core.multi_adsorbate_slab_config">data.oc.core.multi_adsorbate_slab_config</a>
+</li>
+        <li><a href="autoapi/data/oc/core/slab/index.html#module-data.oc.core.slab">data.oc.core.slab</a>
+</li>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#module-data.oc.core.solvent">data.oc.core.solvent</a>
+</li>
+        <li><a href="autoapi/data/oc/databases/index.html#module-data.oc.databases">data.oc.databases</a>
+</li>
+        <li><a href="autoapi/data/oc/databases/pkls/index.html#module-data.oc.databases.pkls">data.oc.databases.pkls</a>
+</li>
+        <li><a href="autoapi/data/oc/databases/update/index.html#module-data.oc.databases.update">data.oc.databases.update</a>
+</li>
+        <li><a href="autoapi/data/oc/experimental/get_energies/index.html#module-data.oc.experimental.get_energies">data.oc.experimental.get_energies</a>
+</li>
+        <li><a href="autoapi/data/oc/experimental/merge_traj/index.html#module-data.oc.experimental.merge_traj">data.oc.experimental.merge_traj</a>
+</li>
+        <li><a href="autoapi/data/oc/experimental/perturb_systems/index.html#module-data.oc.experimental.perturb_systems">data.oc.experimental.perturb_systems</a>
+</li>
+        <li><a href="autoapi/data/oc/experimental/rattle_test/index.html#module-data.oc.experimental.rattle_test">data.oc.experimental.rattle_test</a>
+</li>
+        <li><a href="autoapi/data/oc/experimental/utils/index.html#module-data.oc.experimental.utils">data.oc.experimental.utils</a>
+</li>
+        <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#module-data.oc.scripts.precompute_sample_structures">data.oc.scripts.precompute_sample_structures</a>
+</li>
+        <li><a href="autoapi/data/oc/structure_generator/index.html#module-data.oc.structure_generator">data.oc.structure_generator</a>
+</li>
+        <li><a href="autoapi/data/oc/utils/index.html#module-data.oc.utils">data.oc.utils</a>
+</li>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#module-data.oc.utils.flag_anomaly">data.oc.utils.flag_anomaly</a>
+</li>
+        <li><a href="autoapi/data/oc/utils/geometry/index.html#module-data.oc.utils.geometry">data.oc.utils.geometry</a>
+</li>
+        <li><a href="autoapi/data/oc/utils/vasp/index.html#module-data.oc.utils.vasp">data.oc.utils.vasp</a>
+</li>
+        <li><a href="autoapi/data/oc/utils/vasp_flags/index.html#module-data.oc.utils.vasp_flags">data.oc.utils.vasp_flags</a>
+</li>
+        <li><a href="autoapi/data/odac/index.html#module-data.odac">data.odac</a>
+</li>
+        <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#module-data.odac.force_field.FF_analysis">data.odac.force_field.FF_analysis</a>
+</li>
+        <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#module-data.odac.promising_mof.promising_mof_energies.energy">data.odac.promising_mof.promising_mof_energies.energy</a>
+</li>
+        <li><a href="autoapi/data/odac/setup_vasp/index.html#module-data.odac.setup_vasp">data.odac.setup_vasp</a>
+</li>
+        <li><a href="autoapi/data/om/index.html#module-data.om">data.om</a>
+</li>
+        <li><a href="autoapi/data/om/biomolecules/geom/sample_geom_drugs/index.html#module-data.om.biomolecules.geom.sample_geom_drugs">data.om.biomolecules.geom.sample_geom_drugs</a>
+</li>
+        <li><a href="autoapi/data/om/biomolecules/geom/write_geom_drugs_structures/index.html#module-data.om.biomolecules.geom.write_geom_drugs_structures">data.om.biomolecules.geom.write_geom_drugs_structures</a>
+</li>
+        <li><a href="autoapi/data/om/omdata/orca/index.html#module-data.om.omdata.orca">data.om.omdata.orca</a>
+</li>
+        <li><a href="autoapi/data/om/omdata/orca/calc/index.html#module-data.om.omdata.orca.calc">data.om.omdata.orca.calc</a>
+</li>
+        <li><a href="autoapi/data/om/omdata/orca/recipes/index.html#module-data.om.omdata.orca.recipes">data.om.omdata.orca.recipes</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#module-ocpapi">ocpapi</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#module-ocpapi.client">ocpapi.client</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#module-ocpapi.client.client">ocpapi.client.client</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#module-ocpapi.client.models">ocpapi.client.models</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/ui/index.html#module-ocpapi.client.ui">ocpapi.client.ui</a>
+</li>
+        <li><a href="autoapi/ocpapi/version/index.html#module-ocpapi.version">ocpapi.version</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#module-ocpapi.workflows">ocpapi.workflows</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#module-ocpapi.workflows.adsorbates">ocpapi.workflows.adsorbates</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/context/index.html#module-ocpapi.workflows.context">ocpapi.workflows.context</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#module-ocpapi.workflows.filter">ocpapi.workflows.filter</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/log/index.html#module-ocpapi.workflows.log">ocpapi.workflows.log</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/retry/index.html#module-ocpapi.workflows.retry">ocpapi.workflows.retry</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/equiformer_v2/module_list/index.html#core.models.equiformer_v2.module_list.ModuleListInfo">ModuleListInfo (class in core.models.equiformer_v2.module_list)</a>
+</li>
+      <li><a href="autoapi/data/odac/setup_vasp/index.html#data.odac.setup_vasp.mof">mof (in module data.odac.setup_vasp)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.mof_name">mof_name (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Solvent.molar_mass">molar_mass (data.oc.core.Solvent attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#data.oc.core.solvent.Solvent.molar_mass">(data.oc.core.solvent.Solvent attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Solvent.molecules_per_volume">molecules_per_volume (data.oc.core.Solvent property)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#data.oc.core.solvent.Solvent.molecules_per_volume">(data.oc.core.solvent.Solvent property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.mse">mse() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.MSELoss">MSELoss (class in core.modules.loss)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropout.mul">mul (core.models.equiformer_v2.drop.EquivariantDropout attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.MultipleAdsorbateSlabConfig">MultipleAdsorbateSlabConfig (class in data.oc.core)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig">(class in data.oc.core.multi_adsorbate_slab_config)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.multiply">multiply() (in module core.models.equiformer_v2.trainers.lr_scheduler)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.multistep_lr_lambda">multistep_lr_lambda() (in module core.models.equiformer_v2.trainers.lr_scheduler)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda">MultistepLRLambda (class in core.models.equiformer_v2.trainers.lr_scheduler)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.multitask_required_keys">multitask_required_keys (in module core.common.utils)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="N">N</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SphericalSmearing.n">n (core.models.utils.basis.SphericalSmearing attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.n_mol_per_volume">n_mol_per_volume (data.oc.core.interface_config.InterfaceConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.n_mol_per_volume">(data.oc.core.InterfaceConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor._Stats.n_samples">n_samples (core.modules.scaling.scale_factor._Stats attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.name">name (core.models.gemnet.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.name">(core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.name">(core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.name">(core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.name">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.name">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.name">(core.modules.scaling.scale_factor.ScaleFactor attribute)</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.name">(core.modules.scaling.ScaleFactor attribute)</a>
+</li>
+        <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.name">(core.trainers.base_trainer.BaseTrainer attribute)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.name">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData.neighbors">neighbors (core.models.base.GraphData attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.NestedDict">NestedDict (in module core.common.registry)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/radial_function/index.html#core.models.equiformer_v2.radial_function.RadialFunction.net">net (core.models.equiformer_v2.radial_function.RadialFunction attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SIREN.network">network (core.models.utils.basis.SIREN attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.new_trainer_context">new_trainer_context() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.NO_LIMIT">NO_LIMIT (in module ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.NO_LIMIT">(in module ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry.NO_LIMIT">(in module ocpapi.workflows.retry)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphModelMixin.no_weight_decay">no_weight_decay() (core.models.base.GraphModelMixin method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.no_weight_decay">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.no_weight_decay">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.no_weight_decay">(core.models.equiformer_v2.EquiformerV2 method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData.node_offset">node_offset (core.models.base.GraphData attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.NoLimitType">NoLimitType (in module ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.NoLimitType">(in module ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry.NoLimitType">(in module ocpapi.workflows.retry)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.NONE_SLICE">NONE_SLICE (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/common/typing/index.html#core.common.typing.none_throws">none_throws() (in module core.common.typing)</a>
+</li>
+      <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.NonRetryableRequestException">NonRetryableRequestException</a>, <a href="autoapi/ocpapi/client/index.html#ocpapi.client.NonRetryableRequestException">[1]</a>, <a href="autoapi/ocpapi/index.html#ocpapi.NonRetryableRequestException">[2]</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm">norm (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.norm">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.norm">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/normalization/normalizer/index.html#core.modules.normalization.normalizer.Normalizer.norm">norm() (core.modules.normalization.normalizer.Normalizer method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.TransBlockV2.norm_1">norm_1 (core.models.equiformer_v2.transformer_block.TransBlockV2 attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.TransBlockV2.norm_2">norm_2 (core.models.equiformer_v2.transformer_block.TransBlockV2 attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.SphericalBesselBasis.norm_const">norm_const (core.models.gemnet.layers.radial_basis.SphericalBesselBasis attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.norm_const">(core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.norm_const">(core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.norm_l0">norm_l0 (core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.norm_type">norm_type (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.norm_type">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.norm_type">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.normalization">normalization (core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.normalization">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.normalization">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.normalization">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/normalization/normalizer/index.html#core.modules.normalization.normalizer.Normalizer">Normalizer (class in core.modules.normalization.normalizer)</a>
+</li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.normalizers">normalizers (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.normalizers">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Status.NOT_AVAILABLE">NOT_AVAILABLE (ocpapi.client.models.Status attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Status.NOT_AVAILABLE">(ocpapi.client.Status attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Status.NOT_AVAILABLE">(ocpapi.Status attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.num_atoms">num_atoms (core.models.escn.eSCN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.num_atoms">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.num_atoms">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.num_atoms">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_augmentations_per_site">num_augmentations_per_site (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.num_augmentations_per_site">(data.oc.core.AdsorbateSlabConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.num_bands">num_bands (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.num_basis">num_basis (core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.num_basis_functions">num_basis_functions (core.models.scn.scn.DistanceBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.num_basis_functions">(core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.num_basis_functions">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.num_basis_functions">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.num_blocks">num_blocks (core.models.dimenet_plus_plus.DimeNetPlusPlus attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.num_blocks">(core.models.gemnet.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.num_blocks">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_blocks">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.num_blocks">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.num_blocks">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.num_blocks">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.GateActivation.num_channels">num_channels (core.models.equiformer_v2.activation.GateActivation attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.num_channels">(core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.num_channels">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArray attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.num_channels">(core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.num_channels">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.num_channels">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.num_channels">(core.models.equiformer_v2.so3.SO3_Embedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EnergyBlock.num_channels">(core.models.escn.escn.EnergyBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.ForceBlock.num_channels">(core.models.escn.escn.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EnergyBlock.num_channels">(core.models.escn.escn_exportable.EnergyBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.ForceBlock.num_channels">(core.models.escn.escn_exportable.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.num_channels">(core.models.escn.so3.SO3_Embedding attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.num_coefficients">num_coefficients (core.models.equiformer_v2.so3.SO3_Embedding attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.num_coefficients">(core.models.escn.so3.SO3_Embedding attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_distance_basis">num_distance_basis (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_distance_basis">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.num_distance_basis">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.num_edge_channels">num_edge_channels (core.models.scn.scn.DistanceBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.Basis.num_freqs">num_freqs (core.models.utils.basis.Basis attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.FourierSmearing.num_freqs">(core.models.utils.basis.FourierSmearing attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.GaussianSmearing.num_freqs">(core.models.utils.basis.GaussianSmearing attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SINESmearing.num_freqs">(core.models.utils.basis.SINESmearing attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.num_gaussians">num_gaussians (core.models.escn.eSCN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.num_gaussians">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.num_gaussians">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.num_gaussians">(core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.num_gaussians">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.num_gaussians">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_heads">num_heads (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_heads">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.num_heads">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_heads">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.num_interactions">num_interactions (core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.num_interactions">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/drop/index.html#core.models.equiformer_v2.drop.EquivariantDropout.num_irreps">num_irreps (core.models.equiformer_v2.drop.EquivariantDropout attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_layers">num_layers (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_layers">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.num_layers">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.num_layers">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.num_layers">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.num_layers">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.num_layers">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.num_layers">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.GaussianSmearing.num_output">num_output (core.models.scn.smearing.GaussianSmearing attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.LinearSigmoidSmearing.num_output">(core.models.scn.smearing.LinearSigmoidSmearing attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.SigmoidSmearing.num_output">(core.models.scn.smearing.SigmoidSmearing attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.SiLUSmearing.num_output">(core.models.scn.smearing.SiLUSmearing attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphModelMixin.num_params">num_params (core.models.base.GraphModelMixin property)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.num_params">(core.models.dimenet_plus_plus.DimeNetPlusPlusWrap property)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_params">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone property)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_params">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 property)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.num_params">(core.models.equiformer_v2.EquiformerV2 property)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.num_params">(core.models.escn.eSCN property)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.num_params">(core.models.escn.escn.eSCN property)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.num_params">(core.models.escn.escn_exportable.eSCN property)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.num_params">(core.models.gemnet.gemnet.GemNetT property)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.num_params">(core.models.gemnet.GemNetT property)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_params">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT property)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.num_params">(core.models.gemnet_gp.GraphParallelGemNetT property)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.num_params">(core.models.gemnet_oc.gemnet_oc.GemNetOC property)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.num_params">(core.models.gemnet_oc.GemNetOC property)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.num_params">(core.models.painn.PaiNN property)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.num_params">(core.models.painn.painn.PaiNN property)</a>
+</li>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.num_params">(core.models.schnet.SchNetWrap property)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.num_params">(core.models.scn.scn.SphericalChannelNetwork property)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.num_params">(core.models.scn.SphericalChannelNetwork property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_radial">num_radial (core.models.gemnet.layers.efficient.EfficientInteractionDownProjection attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_radial">(core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_radial">(core.models.gemnet_oc.layers.efficient.BasisEmbedding attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.num_rbf">num_rbf (core.models.painn.PaiNN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.num_rbf">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_resolutions">num_resolutions (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_resolutions">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.num_resolutions">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.num_resolutions">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.num_resolutions">(core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.num_resolutions">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.num_resolutions">(core.models.equiformer_v2.so2_ops.SO2_m_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.num_resolutions">(core.models.equiformer_v2.so3.CoefficientMappingModule attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.num_resolutions">(core.models.equiformer_v2.so3.SO3_Embedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.num_resolutions">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.num_resolutions">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.num_resolutions">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.num_resolutions">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.num_resolutions">(core.models.escn.escn.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.num_resolutions">(core.models.escn.escn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.num_resolutions">(core.models.escn.escn.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.num_resolutions">(core.models.escn.escn.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.num_resolutions">(core.models.escn.so3.CoefficientMapping attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.num_resolutions">(core.models.escn.so3.SO3_Embedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.num_resolutions">(core.models.escn.so3_exportable.CoefficientMapping attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.num_resolutions">(core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.num_samples">num_samples (core.datasets.ase_datasets.AseAtomsDataset attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.Subset.num_samples">(core.datasets.base_dataset.Subset attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.num_sites">num_sites (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.num_sites">(data.oc.core.AdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.num_sites">(data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.MultipleAdsorbateSlabConfig.num_sites">(data.oc.core.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.num_sphere_samples">num_sphere_samples (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.num_sphere_samples">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.num_sphere_samples">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.num_sphere_samples">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EnergyBlock.num_sphere_samples">(core.models.escn.escn.EnergyBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.num_sphere_samples">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.ForceBlock.num_sphere_samples">(core.models.escn.escn.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EnergyBlock.num_sphere_samples">(core.models.escn.escn_exportable.EnergyBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.num_sphere_samples">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.ForceBlock.num_sphere_samples">(core.models.escn.escn_exportable.ForceBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.num_sphere_samples">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.num_sphere_samples">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.num_spherical">num_spherical (core.models.gemnet.layers.efficient.EfficientInteractionDownProjection attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.num_spherical">(core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.BasisEmbedding.num_spherical">(core.models.gemnet_oc.layers.efficient.BasisEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.num_spherical">(core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.num_steps">num_steps (core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.num_taps">num_taps (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.num_targets">num_targets (core.models.schnet.SchNetWrap attribute)</a>
+</li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.num_updates">num_updates (core.modules.exponential_moving_average.ExponentialMovingAverage attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.numbers">numbers (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Atoms.numbers">(ocpapi.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.numbers">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Atoms.numbers">(ocpapi.client.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.numbers">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Atoms.numbers">(ocpapi.client.models.Atoms attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.numpy">numpy (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.numpy">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="O">O</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset">OC22LmdbDataset (class in core.datasets.oc22_lmdb_dataset)</a>
+</li>
+      <li><a href="autoapi/core/scripts/hpo/run_tune/index.html#core.scripts.hpo.run_tune.ocp_trainable">ocp_trainable() (in module core.scripts.hpo.run_tune)</a>
+
+      <ul>
+        <li><a href="autoapi/core/scripts/hpo/run_tune_pbt/index.html#core.scripts.hpo.run_tune_pbt.ocp_trainable">(in module core.scripts.hpo.run_tune_pbt)</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#module-ocpapi">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.client
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#module-ocpapi.client">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.client.client
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/client/index.html#module-ocpapi.client.client">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.client.models
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/models/index.html#module-ocpapi.client.models">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.client.ui
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/ui/index.html#module-ocpapi.client.ui">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.version
+
+      <ul>
+        <li><a href="autoapi/ocpapi/version/index.html#module-ocpapi.version">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.workflows
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#module-ocpapi.workflows">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.workflows.adsorbates
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#module-ocpapi.workflows.adsorbates">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.workflows.context
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/context/index.html#module-ocpapi.workflows.context">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.workflows.filter
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#module-ocpapi.workflows.filter">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.workflows.log
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/log/index.html#module-ocpapi.workflows.log">module</a>
+</li>
+      </ul></li>
+      <li>
+    ocpapi.workflows.retry
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/retry/index.html#module-ocpapi.workflows.retry">module</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.OCPCalculator">OCPCalculator (class in core.common.relaxation.ase_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.OCPCollater">OCPCollater (class in core.common.data_parallel)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB">OCPNEB (class in cattsunami.core)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB">(class in cattsunami.core.ocpneb)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/index.html#core.trainers.OCPTrainer">OCPTrainer (class in core.trainers)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/ocp_trainer/index.html#core.trainers.ocp_trainer.OCPTrainer">(class in core.trainers.ocp_trainer)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.GaussianSmearing.offset">offset (core.models.utils.basis.GaussianSmearing attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.GraphData.offset_distances">offset_distances (core.models.base.GraphData attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsResults.omitted_config_ids">omitted_config_ids (ocpapi.AdsorbateSlabRelaxationsResults attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsResults.omitted_config_ids">(ocpapi.client.AdsorbateSlabRelaxationsResults attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsResults.omitted_config_ids">(ocpapi.client.models.AdsorbateSlabRelaxationsResults attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.BalancedBatchSampler.on_error">on_error (core.common.data_parallel.BalancedBatchSampler attribute)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrame.only_keep_unique_systems">only_keep_unique_systems() (cattsunami.core.autoframe.AutoFrame method)</a>
+</li>
+      <li><a href="autoapi/data/om/omdata/orca/calc/index.html#data.om.omdata.orca.calc.OPT_PARAMETERS">OPT_PARAMETERS (in module data.om.omdata.orca.calc)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.Optimizable">Optimizable (class in core.common.relaxation.optimizable)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.optimizable">optimizable (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.optimizable">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch">OptimizableBatch (class in core.common.relaxation)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch">(class in core.common.relaxation.optimizable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch">OptimizableUnitCellBatch (class in core.common.relaxation)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch">(class in core.common.relaxation.optimizable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.optimizer">optimizer (core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scheduler/index.html#core.modules.scheduler.LRScheduler.optimizer">(core.modules.scheduler.LRScheduler attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/om/omdata/orca/calc/index.html#data.om.omdata.orca.calc.ORCA_ASE_SIMPLE_INPUT">ORCA_ASE_SIMPLE_INPUT (in module data.om.omdata.orca.calc)</a>
+</li>
+      <li><a href="autoapi/data/om/omdata/orca/calc/index.html#data.om.omdata.orca.calc.ORCA_BASIS">ORCA_BASIS (in module data.om.omdata.orca.calc)</a>
+</li>
+      <li><a href="autoapi/data/om/omdata/orca/calc/index.html#data.om.omdata.orca.calc.ORCA_BLOCKS">ORCA_BLOCKS (in module data.om.omdata.orca.calc)</a>
+</li>
+      <li><a href="autoapi/data/om/omdata/orca/calc/index.html#data.om.omdata.orca.calc.ORCA_FUNCTIONAL">ORCA_FUNCTIONAL (in module data.om.omdata.orca.calc)</a>
+</li>
+      <li><a href="autoapi/data/om/omdata/orca/calc/index.html#data.om.omdata.orca.calc.ORCA_SIMPLE_INPUT">ORCA_SIMPLE_INPUT (in module data.om.omdata.orca.calc)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.oriented_bulk">oriented_bulk (data.oc.core.Slab attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.oriented_bulk">(data.oc.core.slab.Slab attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.orig_cells">orig_cells (core.common.relaxation.optimizable.OptimizableUnitCellBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.orig_cells">(core.common.relaxation.OptimizableUnitCellBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.os_environ_get_or_throw">os_environ_get_or_throw() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.OCPCollater.otf_graph">otf_graph (core.common.data_parallel.OCPCollater attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.otf_graph">(core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.otf_graph">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/base/index.html#core.models.base.HydraModel.otf_graph">(core.models.base.HydraModel attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.otf_graph">(core.models.dimenet_plus_plus.DimeNetPlusPlusWrap attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.otf_graph">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.otf_graph">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.otf_graph">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.otf_graph">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.otf_graph">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.otf_graph">(core.models.gemnet.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.otf_graph">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.otf_graph">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.otf_graph">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.otf_graph">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.otf_graph">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.otf_graph">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.otf_graph">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.otf_graph">(core.models.schnet.SchNetWrap attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.otf_graph">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.otf_graph">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models._DataModel.other_fields">other_fields (ocpapi.client.models._DataModel attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.ouput_name">ouput_name (core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.ouput_name">(core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.ouput_name">(core.models.equiformer_v2.heads.Rank2SymmetricTensorHead attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.out_blocks">out_blocks (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.out_blocks">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.out_blocks">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.out_blocks">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_blocks">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.out_blocks">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSwiGLU.out_channels">out_channels (core.models.equiformer_v2.activation.ScaledSwiGLU attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SwiGLU.out_channels">(core.models.equiformer_v2.activation.SwiGLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.GatedEquivariantBlock.out_channels">(core.models.painn.painn.GatedEquivariantBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.FourierSmearing.out_dim">out_dim (core.models.utils.basis.FourierSmearing attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SINESmearing.out_dim">(core.models.utils.basis.SINESmearing attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SphericalSmearing.out_dim">(core.models.utils.basis.SphericalSmearing attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.OutputBlock.out_energy">out_energy (core.models.gemnet.layers.atom_update_block.OutputBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_energy">(core.models.gemnet_gp.layers.atom_update_block.OutputBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_energy">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_energy">(core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.out_energy">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.out_energy">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.out_energy">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNEnergyHead.out_energy">(core.models.painn.painn.PaiNNEnergyHead attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Linear.out_features">out_features (core.models.equiformer_v2.so3.SO3_Linear attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_LinearV2.out_features">(core.models.equiformer_v2.so3.SO3_LinearV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_forces">out_forces (core.models.gemnet_gp.layers.atom_update_block.OutputBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.out_mask">out_mask (core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.out_mlp_E">out_mlp_E (core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.out_mlp_E">(core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.out_mlp_E">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.output_blocks">output_blocks (core.models.dimenet_plus_plus.DimeNetPlusPlus attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.output_channels">output_channels (core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.output_channels">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.OutputBlock.output_init">output_init (core.models.gemnet.layers.atom_update_block.OutputBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.output_init">(core.models.gemnet_gp.layers.atom_update_block.OutputBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.output_name">output_name (core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.output_name">(core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2ScalarHead.output_name">(core.models.equiformer_v2.heads.EqV2ScalarHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2VectorHead.output_name">(core.models.equiformer_v2.heads.EqV2VectorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.output_name">(core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.output_name">(core.models.equiformer_v2.heads.Rank2SymmetricTensorHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/scalar/index.html#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.output_name">(core.models.equiformer_v2.heads.scalar.EqV2ScalarHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/vector/index.html#core.models.equiformer_v2.heads.vector.EqV2VectorHead.output_name">(core.models.equiformer_v2.heads.vector.EqV2VectorHead attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNOutput.output_network">output_network (core.models.painn.painn.PaiNNOutput attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.OutputBlock">OutputBlock (class in core.models.gemnet.layers.atom_update_block)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.OutputBlock">(class in core.models.gemnet_gp.layers.atom_update_block)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.OutputBlock">(class in core.models.gemnet_oc.layers.atom_update_block)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.OutputPPBlock">OutputPPBlock (class in core.models.dimenet_plus_plus)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="P">P</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.PolynomialEnvelope.p">p (core.models.gemnet.layers.radial_basis.PolynomialEnvelope attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.p">(core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.p">(core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.BoxGeometry.packmol_structure">packmol_structure() (data.oc.utils.geometry.BoxGeometry method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.Geometry.packmol_structure">(data.oc.utils.geometry.Geometry method)</a>
+</li>
+        <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.packmol_structure">(data.oc.utils.geometry.PlaneBoundTriclinicGeometry method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.packmol_tolerance">packmol_tolerance (data.oc.core.interface_config.InterfaceConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.packmol_tolerance">(data.oc.core.InterfaceConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.pad_tensor">pad_tensor() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN">PaiNN (class in core.models.painn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN">(class in core.models.painn.painn)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNBackbone">PaiNNBackbone (class in core.models.painn.painn)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNEnergyHead">PaiNNEnergyHead (class in core.models.painn.painn)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNForceHead">PaiNNForceHead (class in core.models.painn.painn)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage">PaiNNMessage (class in core.models.painn.painn)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNOutput">PaiNNOutput (class in core.models.painn.painn)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNUpdate">PaiNNUpdate (class in core.models.painn.painn)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.PairInteraction">PairInteraction (class in core.models.gemnet_oc.layers.interaction_block)</a>
+</li>
+      <li><a href="autoapi/core/scripts/gif_maker_parallelized/index.html#core.scripts.gif_maker_parallelized.parallelize_generation">parallelize_generation() (in module core.scripts.gif_maker_parallelized)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.BoxGeometry.params">params (data.oc.utils.geometry.BoxGeometry attribute)</a>
+</li>
+      <li><a href="autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html#adsorbml.2023_neurips_challenge.challenge_eval.parse_args">parse_args() (in module adsorbml.2023_neurips_challenge.challenge_eval)</a>
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/process_mlrs/index.html#adsorbml.scripts.process_mlrs.parse_args">(in module adsorbml.scripts.process_mlrs)</a>
+</li>
+        <li><a href="autoapi/core/scripts/download_large_files/index.html#core.scripts.download_large_files.parse_args">(in module core.scripts.download_large_files)</a>
+</li>
+        <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.parse_args">(in module data.oc.structure_generator)</a>
+</li>
+        <li><a href="autoapi/data/om/biomolecules/geom/sample_geom_drugs/index.html#data.om.biomolecules.geom.sample_geom_drugs.parse_args">(in module data.om.biomolecules.geom.sample_geom_drugs)</a>
+</li>
+        <li><a href="autoapi/data/om/biomolecules/geom/write_geom_drugs_structures/index.html#data.om.biomolecules.geom.write_geom_drugs_structures.parse_args">(in module data.om.biomolecules.geom.write_geom_drugs_structures)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.parse_neb_info">parse_neb_info() (in module cattsunami.run_validation.run_validation)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.parse_value">parse_value() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/flags/index.html#core.common.flags.Flags.parser">parser (core.common.flags.Flags attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#adsorbml.scripts.dense_eval.parser">(in module adsorbml.scripts.dense_eval)</a>
+</li>
+        <li><a href="autoapi/adsorbml/scripts/write_top_k_vasp/index.html#adsorbml.scripts.write_top_k_vasp.parser">(in module adsorbml.scripts.write_top_k_vasp)</a>
+</li>
+        <li><a href="autoapi/cattsunami/run_validation/run_validation/index.html#cattsunami.run_validation.run_validation.parser">(in module cattsunami.run_validation.run_validation)</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/fit/index.html#core.modules.scaling.fit.parser">(in module core.modules.scaling.fit)</a>
+</li>
+        <li><a href="autoapi/core/scripts/convert_hydra_to_release/index.html#core.scripts.convert_hydra_to_release.parser">(in module core.scripts.convert_hydra_to_release)</a>
+</li>
+        <li><a href="autoapi/core/scripts/download_data/index.html#core.scripts.download_data.parser">(in module core.scripts.download_data)</a>
+</li>
+        <li><a href="autoapi/core/scripts/eqv2_to_hydra_eqv2/index.html#core.scripts.eqv2_to_hydra_eqv2.parser">(in module core.scripts.eqv2_to_hydra_eqv2)</a>
+</li>
+        <li><a href="autoapi/core/scripts/fit_normalizers/index.html#core.scripts.fit_normalizers.parser">(in module core.scripts.fit_normalizers)</a>
+</li>
+        <li><a href="autoapi/core/scripts/fit_references/index.html#core.scripts.fit_references.parser">(in module core.scripts.fit_references)</a>
+</li>
+        <li><a href="autoapi/core/scripts/gif_maker_parallelized/index.html#core.scripts.gif_maker_parallelized.parser">(in module core.scripts.gif_maker_parallelized)</a>
+</li>
+        <li><a href="autoapi/core/scripts/make_challenge_submission_file/index.html#core.scripts.make_challenge_submission_file.parser">(in module core.scripts.make_challenge_submission_file)</a>
+</li>
+        <li><a href="autoapi/core/scripts/make_lmdb_sizes/index.html#core.scripts.make_lmdb_sizes.parser">(in module core.scripts.make_lmdb_sizes)</a>
+</li>
+        <li><a href="autoapi/core/scripts/make_submission_file/index.html#core.scripts.make_submission_file.parser">(in module core.scripts.make_submission_file)</a>
+</li>
+        <li><a href="autoapi/core/scripts/preprocess_ef/index.html#core.scripts.preprocess_ef.parser">(in module core.scripts.preprocess_ef)</a>
+</li>
+        <li><a href="autoapi/core/scripts/preprocess_relaxed/index.html#core.scripts.preprocess_relaxed.parser">(in module core.scripts.preprocess_relaxed)</a>
+</li>
+        <li><a href="autoapi/core/scripts/uncompress/index.html#core.scripts.uncompress.parser">(in module core.scripts.uncompress)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.HydraModel.pass_through_head_outputs">pass_through_head_outputs (core.models.base.HydraModel attribute)</a>
+</li>
+      <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.LmdbDataset.path">path (core.datasets.lmdb_dataset.LmdbDataset attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LmdbDataset.path">(core.datasets.LmdbDataset attribute)</a>
+</li>
+        <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.path">(core.datasets.oc22_lmdb_dataset.OC22LmdbDataset attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.BaseDataset.paths">paths (core.datasets.base_dataset.BaseDataset attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.pbc">pbc (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Atoms.pbc">(ocpapi.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.pbc">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Atoms.pbc">(ocpapi.client.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.pbc">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Atoms.pbc">(ocpapi.client.models.Atoms attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/databases/update/index.html#data.oc.databases.update.pbc_patch">pbc_patch() (in module data.oc.databases.update)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.pbc_shift">pbc_shift (data.oc.core.interface_config.InterfaceConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.pbc_shift">(data.oc.core.InterfaceConfig attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.per_atom_mae">per_atom_mae() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.per_atom_mse">per_atom_mse() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.PerAtomMAELoss">PerAtomMAELoss (class in core.modules.loss)</a>
+</li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.PGConfig">PGConfig (class in core.common.test_utils)</a>
+</li>
+      <li><a href="autoapi/data/odac/force_field/FF_analysis/index.html#data.odac.force_field.FF_analysis.phys_err">phys_err() (in module data.odac.force_field.FF_analysis)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.place_adsorbate_on_site">place_adsorbate_on_site() (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_site">(data.oc.core.AdsorbateSlabConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.place_adsorbate_on_sites">place_adsorbate_on_sites() (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.place_adsorbate_on_sites">(data.oc.core.AdsorbateSlabConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites">place_adsorbates_on_sites() (data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.MultipleAdsorbateSlabConfig.place_adsorbates_on_sites">(data.oc.core.MultipleAdsorbateSlabConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.PlaneBoundTriclinicGeometry">PlaneBoundTriclinicGeometry (class in data.oc.utils.geometry)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.planes">planes (data.oc.utils.geometry.PlaneBoundTriclinicGeometry attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.plot_histogram">plot_histogram() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/data/oc/experimental/utils/index.html#data.oc.experimental.utils.plot_traj">plot_traj() (in module data.oc.experimental.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.PolynomialEnvelope">PolynomialEnvelope (class in core.models.gemnet.layers.radial_basis)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope">(class in core.models.gemnet_gp.layers.radial_basis)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope">(class in core.models.gemnet_oc.layers.radial_basis)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.PGConfig.port">port (core.common.test_utils.PGConfig attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.positions">positions (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Atoms.positions">(ocpapi.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.positions">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Atoms.positions">(ocpapi.client.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.positions">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Atoms.positions">(ocpapi.client.models.Atoms attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/scripts/gif_maker_parallelized/index.html#core.scripts.gif_maker_parallelized.pov_from_atoms">pov_from_atoms() (in module core.scripts.gif_maker_parallelized)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.pre_compute_coefficient_idx">pre_compute_coefficient_idx() (core.models.escn.so3_exportable.CoefficientMapping method)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.pre_compute_rotate_inv_rescale">pre_compute_rotate_inv_rescale() (core.models.escn.so3_exportable.CoefficientMapping method)</a>
+</li>
+      <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.precompute_enumerate_surface">precompute_enumerate_surface() (in module data.oc.scripts.precompute_sample_structures)</a>
+</li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.precompute_slabs">precompute_slabs() (in module data.oc.structure_generator)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.predict">predict() (core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/ocp_trainer/index.html#core.trainers.ocp_trainer.OCPTrainer.predict">(core.trainers.ocp_trainer.OCPTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.OCPTrainer.predict">(core.trainers.OCPTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/tasks/index.html#core.tasks.PredictTask">PredictTask (class in core.tasks)</a>
+
+      <ul>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.PredictTask">(class in core.tasks.task)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.BernsteinBasis.pregamma">pregamma (core.models.gemnet.layers.radial_basis.BernsteinBasis attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.pregamma">(core.models.gemnet_gp.layers.radial_basis.BernsteinBasis attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.pregamma">(core.models.gemnet_oc.layers.radial_basis.BernsteinBasis attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.prepare_coefficient_idx">prepare_coefficient_idx() (core.models.escn.so3_exportable.CoefficientMapping method)</a>
+</li>
+      <li><a href="autoapi/core/scripts/download_data/index.html#core.scripts.download_data.preprocess_data">preprocess_data() (in module core.scripts.download_data)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.pressure">pressure (core.common.relaxation.optimizable.OptimizableUnitCellBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.pressure">(core.common.relaxation.OptimizableUnitCellBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.primary_metric">primary_metric (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.primary_metric">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.print_cuda_usage">print_cuda_usage() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.prob">prob (core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/experimental/get_energies/index.html#data.oc.experimental.get_energies.process_func">process_func() (in module data.oc.experimental.get_energies)</a>
+</li>
+      <li><a href="autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html#adsorbml.2023_neurips_challenge.challenge_eval.process_ml_data">process_ml_data() (in module adsorbml.2023_neurips_challenge.challenge_eval)</a>
+</li>
+      <li><a href="autoapi/adsorbml/scripts/process_mlrs/index.html#adsorbml.scripts.process_mlrs.process_mlrs">process_mlrs() (in module adsorbml.scripts.process_mlrs)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.proj">proj (core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.proj_drop">proj_drop (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.proj_drop">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.proj_drop">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.TransBlockV2.proj_drop">(core.models.equiformer_v2.transformer_block.TransBlockV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.promising_defective">promising_defective (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.promising_pristine">promising_pristine (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.prompt_for_slabs_to_keep">prompt_for_slabs_to_keep (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.prompt_for_slabs_to_keep">(class in ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/filter/index.html#ocpapi.workflows.filter.prompt_for_slabs_to_keep">(class in ocpapi.workflows.filter)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.pyg2_data_transform">pyg2_data_transform() (in module core.common.utils)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="Q">Q</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.qint_tags">qint_tags (core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.qint_tags">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/embeddings/index.html#core.datasets.embeddings.QMOF_KHOT_EMBEDDINGS">QMOF_KHOT_EMBEDDINGS (in module core.datasets.embeddings)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/embeddings/qmof_khot_embeddings/index.html#core.datasets.embeddings.qmof_khot_embeddings.QMOF_KHOT_EMBEDDINGS">(in module core.datasets.embeddings.qmof_khot_embeddings)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.quad_interaction">quad_interaction (core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.quad_interaction">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction">QuadrupletInteraction (class in core.models.gemnet_oc.layers.interaction_block)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="R">R</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.R">R (in module core.common.registry)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.r0">r0 (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.r0">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2Block.r2tensor_MLP">r2tensor_MLP (core.models.equiformer_v2.heads.rank2.Rank2Block attribute)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_data_keys">r_data_keys (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id9">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.r_data_keys">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id9">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_distances">r_distances (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id5">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.r_distances">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id5">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_edges">r_edges (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id7">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.r_edges">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id7">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_energy">r_energy (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id2">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.r_energy">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id2">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_fixed">r_fixed (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id6">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.r_fixed">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id6">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_forces">r_forces (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id3">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.r_forces">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id3">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_pbc">r_pbc (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id8">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.r_pbc">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id8">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameTransfer.r_react_max">r_react_max (cattsunami.core.autoframe.AutoFrameTransfer attribute)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameTransfer.r_react_min">r_react_min (cattsunami.core.autoframe.AutoFrameTransfer attribute)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.r_stress">r_stress (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id4">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.r_stress">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id4">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameTransfer.r_traverse_max">r_traverse_max (cattsunami.core.autoframe.AutoFrameTransfer attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rad_func">rad_func (core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.rad_func">(core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.rad_func">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.radial_basis">radial_basis (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.radial_basis">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/spherical_basis/index.html#core.models.gemnet.layers.spherical_basis.CircularBasisLayer.radial_basis">(core.models.gemnet.layers.spherical_basis.CircularBasisLayer attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.radial_basis">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.radial_basis">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/spherical_basis/index.html#core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.radial_basis">(core.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.radial_basis">(core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.radial_basis">(core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.radial_basis">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.radial_basis">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.RadialBasis">RadialBasis (class in core.models.gemnet.layers.radial_basis)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.RadialBasis">(class in core.models.gemnet_gp.layers.radial_basis)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.RadialBasis">(class in core.models.gemnet_oc.layers.radial_basis)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/radial_function/index.html#core.models.equiformer_v2.radial_function.RadialFunction">RadialFunction (class in core.models.equiformer_v2.radial_function)</a>
+</li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.AtomsToGraphs.radius">radius (core.preprocessing.atoms_to_graphs.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#id1">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/core/preprocessing/index.html#core.preprocessing.AtomsToGraphs.radius">(core.preprocessing.AtomsToGraphs attribute)</a>, <a href="autoapi/core/preprocessing/index.html#id1">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.radius_graph_pbc">radius_graph_pbc() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/utils/index.html#core.models.gemnet.utils.ragged_range">ragged_range() (in module core.models.gemnet.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#core.models.gemnet_gp.utils.ragged_range">(in module core.models.gemnet_gp.utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.ragged_range">(in module core.models.gemnet_oc.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.randomize_coords">randomize_coords() (data.oc.core.interface_config.InterfaceConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.randomize_coords">(data.oc.core.InterfaceConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate/index.html#data.oc.core.adsorbate.randomly_rotate_adsorbate">randomly_rotate_adsorbate() (in module data.oc.core.adsorbate)</a>
+</li>
+      <li><a href="autoapi/core/common/transforms/index.html#core.common.transforms.RandomRotate">RandomRotate (class in core.common.transforms)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2Block">Rank2Block (class in core.models.equiformer_v2.heads.rank2)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock">Rank2DecompositionEdgeBlock (class in core.models.equiformer_v2.heads.rank2)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead">Rank2SymmetricTensorHead (class in core.models.equiformer_v2.heads)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead">(class in core.models.equiformer_v2.heads.rank2)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.RateLimitExceededException">RateLimitExceededException</a>, <a href="autoapi/ocpapi/client/index.html#ocpapi.client.RateLimitExceededException">[1]</a>, <a href="autoapi/ocpapi/index.html#ocpapi.RateLimitExceededException">[2]</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.RateLimitLogging">RateLimitLogging (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.RateLimitLogging">(class in ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry.RateLimitLogging">(class in ocpapi.workflows.retry)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.raw_ads_energy_data">raw_ads_energy_data (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.rbf">rbf (core.models.dimenet_plus_plus.DimeNetPlusPlus attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.rbf_proj">rbf_proj (core.models.painn.painn.PaiNNMessage attribute)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDissociation.reactant1_systems">reactant1_systems (cattsunami.core.autoframe.AutoFrameDissociation attribute)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDesorption.reaction">reaction (cattsunami.core.autoframe.AutoFrameDesorption attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDissociation.reaction">(cattsunami.core.autoframe.AutoFrameDissociation attribute)</a>
+</li>
+        <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameTransfer.reaction">(cattsunami.core.autoframe.AutoFrameTransfer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.Reaction">Reaction (class in cattsunami.core)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/reaction/index.html#cattsunami.core.reaction.Reaction">(class in cattsunami.core.reaction)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.Reaction.reaction_db_path">reaction_db_path (cattsunami.core.Reaction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/reaction/index.html#cattsunami.core.reaction.Reaction.reaction_db_path">(cattsunami.core.reaction.Reaction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/utils/index.html#core.models.gemnet.utils.read_json">read_json() (in module core.models.gemnet.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#core.models.gemnet_gp.utils.read_json">(in module core.models.gemnet_gp.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/scripts/uncompress/index.html#core.scripts.uncompress.read_lzma">read_lzma() (in module core.scripts.uncompress)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/utils/index.html#core.models.gemnet.utils.read_value_json">read_value_json() (in module core.models.gemnet.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#core.models.gemnet_gp.utils.read_value_json">(in module core.models.gemnet_gp.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.LMDBDatabase.readonly">readonly (core.datasets.lmdb_database.LMDBDatabase attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LMDBDatabase.readonly">(core.datasets.LMDBDatabase attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/basis_utils/index.html#core.models.gemnet.layers.basis_utils.real_sph_harm">real_sph_harm() (in module core.models.gemnet.layers.basis_utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/basis_utils/index.html#core.models.gemnet_gp.layers.basis_utils.real_sph_harm">(in module core.models.gemnet_gp.layers.basis_utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#core.models.gemnet_oc.layers.basis_utils.real_sph_harm">(in module core.models.gemnet_oc.layers.basis_utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.reduce">reduce (core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.EqV2ScalarHead.reduce">(core.models.equiformer_v2.heads.EqV2ScalarHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/scalar/index.html#core.models.equiformer_v2.heads.scalar.EqV2ScalarHead.reduce">(core.models.equiformer_v2.heads.scalar.EqV2ScalarHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCNEnergyHead.reduce">(core.models.escn.escn.eSCNEnergyHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.reduce">(core.models.schnet.SchNetWrap attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.reduce_from_model_parallel_region">reduce_from_model_parallel_region() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.ReduceFromModelParallelRegion">ReduceFromModelParallelRegion (class in core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.DDPLoss.reduction">reduction (core.modules.loss.DDPLoss attribute)</a>
+</li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.DDPLoss.reduction_map">reduction_map (core.modules.loss.DDPLoss attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.register">register() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.register_dataset">register_dataset() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.register_logger">register_logger() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.register_loss">register_loss() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.register_model">register_model() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.register_task">register_task() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.register_trainer">register_trainer() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry">Registry (class in core.common.registry)</a>
+</li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.registry">registry (in module core.common.registry)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.regress_forces">regress_forces (core.models.dimenet_plus_plus.DimeNetPlusPlusWrap attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead.regress_forces">(core.models.dimenet_plus_plus.DimeNetPlusPlusWrapEnergyAndForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.regress_forces">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.regress_forces">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.regress_forces">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.regress_forces">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.regress_forces">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.regress_forces">(core.models.gemnet.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead.regress_forces">(core.models.gemnet.gemnet.GemNetTEnergyAndGradForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.regress_forces">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.regress_forces">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.regress_forces">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.regress_forces">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead.regress_forces">(core.models.gemnet_oc.gemnet_oc.GemNetOCEnergyAndGradForceHead attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.regress_forces">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.regress_forces">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.regress_forces">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.regress_forces">(core.models.schnet.SchNetWrap attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.regress_forces">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.regress_forces">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/data/oc/utils/vasp_flags/index.html#data.oc.utils.vasp_flags.RELAX_FLAGS">RELAX_FLAGS (in module data.oc.utils.vasp_flags)</a>
+</li>
+      <li><a href="autoapi/core/tasks/index.html#core.tasks.RelaxationTask">RelaxationTask (class in core.tasks)</a>
+
+      <ul>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.RelaxationTask">(class in core.tasks.task)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/_utils/index.html#core.datasets._utils.rename_data_object_keys">rename_data_object_keys() (in module core.datasets._utils)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrame.reorder_adsorbate">reorder_adsorbate() (cattsunami.core.autoframe.AutoFrame method)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.reorder_edge_list">reorder_edge_list() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.reorder_symmetric_edges">reorder_symmetric_edges() (core.models.gemnet.gemnet.GemNetT method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.reorder_symmetric_edges">(core.models.gemnet.GemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.reorder_symmetric_edges">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.reorder_symmetric_edges">(core.models.gemnet_gp.GraphParallelGemNetT method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/utils/index.html#core.models.gemnet.utils.repeat_blocks">repeat_blocks() (in module core.models.gemnet.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#core.models.gemnet_gp.utils.repeat_blocks">(in module core.models.gemnet_gp.utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.repeat_blocks">(in module core.models.gemnet_oc.utils)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/utils/index.html#core.models.painn.utils.repeat_blocks">(in module core.models.painn.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.RequestException">RequestException</a>, <a href="autoapi/ocpapi/client/index.html#ocpapi.client.RequestException">[1]</a>, <a href="autoapi/ocpapi/index.html#ocpapi.RequestException">[2]</a>
+</li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.res_size">res_size (core.models.escn.so3.CoefficientMapping attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.CoefficientMapping.res_size">(core.models.escn.so3_exportable.CoefficientMapping attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.rescale_factor">rescale_factor (core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.rescale_grid">rescale_grid (core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+      <li><a href="autoapi/core/datasets/lmdb_database/index.html#core.datasets.lmdb_database.RESERVED_KEYS">RESERVED_KEYS (in module core.datasets.lmdb_database)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.reset_">reset_() (core.modules.scaling.scale_factor.ScaleFactor method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.reset_">(core.modules.scaling.ScaleFactor method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.reset_parameters">reset_parameters() (core.models.dimenet_plus_plus.DimeNetPlusPlus method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.InteractionPPBlock.reset_parameters">(core.models.dimenet_plus_plus.InteractionPPBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.OutputPPBlock.reset_parameters">(core.models.dimenet_plus_plus.OutputPPBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.OutputBlock.reset_parameters">(core.models.gemnet.layers.atom_update_block.OutputBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.Dense.reset_parameters">(core.models.gemnet.layers.base_layers.Dense method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.reset_parameters">(core.models.gemnet.layers.efficient.EfficientInteractionBilinear method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionDownProjection.reset_parameters">(core.models.gemnet.layers.efficient.EfficientInteractionDownProjection method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.reset_parameters">(core.models.gemnet_gp.layers.atom_update_block.OutputBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.Dense.reset_parameters">(core.models.gemnet_gp.layers.base_layers.Dense method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.reset_parameters">(core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.reset_parameters">(core.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.Dense.reset_parameters">(core.models.gemnet_oc.layers.base_layers.Dense method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.BasisEmbedding.reset_parameters">(core.models.gemnet_oc.layers.efficient.BasisEmbedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.reset_parameters">(core.models.painn.PaiNN method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.GatedEquivariantBlock.reset_parameters">(core.models.painn.painn.GatedEquivariantBlock method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.reset_parameters">(core.models.painn.painn.PaiNN method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.reset_parameters">(core.models.painn.painn.PaiNNMessage method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNOutput.reset_parameters">(core.models.painn.painn.PaiNNOutput method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNUpdate.reset_parameters">(core.models.painn.painn.PaiNNUpdate method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.residual_m">residual_m (core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.residual_m">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.residual_m">(core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.ResidualLayer">ResidualLayer (class in core.models.gemnet.layers.base_layers)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.ResidualLayer">(class in core.models.gemnet_gp.layers.base_layers)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.ResidualLayer">(class in core.models.gemnet_oc.layers.base_layers)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/experimental/utils/index.html#data.oc.experimental.utils.restart_bug_check">restart_bug_check() (in module data.oc.experimental.utils)</a>
+</li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.restore">restore() (core.modules.exponential_moving_average.ExponentialMovingAverage method)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.results">results (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.results">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/client/client/index.html#id0">retry_after (ocpapi.client.client.RateLimitExceededException attribute)</a>, <a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.RateLimitExceededException.retry_after">[1]</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#id0">(ocpapi.client.RateLimitExceededException attribute)</a>, <a href="autoapi/ocpapi/client/index.html#ocpapi.client.RateLimitExceededException.retry_after">[1]</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#id0">(ocpapi.RateLimitExceededException attribute)</a>, <a href="autoapi/ocpapi/index.html#ocpapi.RateLimitExceededException.retry_after">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.retry_api_calls">retry_api_calls() (in module ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.retry_api_calls">(in module ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/retry/index.html#ocpapi.workflows.retry.retry_api_calls">(in module ocpapi.workflows.retry)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.rho">rho (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.rho">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.rmse">rmse() (in module core.modules.evaluator)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Rotation.rotate">rotate() (core.models.equiformer_v2.so3.SO3_Rotation method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation.rotate">(core.models.escn.so3.SO3_Rotation method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.Rotate">Rotate() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Rotation.rotate_inv">rotate_inv() (core.models.equiformer_v2.so3.SO3_Rotation method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation.rotate_inv">(core.models.escn.so3.SO3_Rotation method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.CoefficientMappingModule.rotate_inv_rescale_cache">rotate_inv_rescale_cache (core.models.equiformer_v2.so3.CoefficientMappingModule attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateInv">RotateInv() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateWigner">RotateWigner() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.rotation_to_wigner">rotation_to_wigner() (in module core.models.escn.so3_exportable)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationMatrix">RotationMatrix() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Rotation.RotationToWignerDMatrix">RotationToWignerDMatrix() (core.models.equiformer_v2.so3.SO3_Rotation method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation.RotationToWignerDMatrix">(core.models.escn.so3.SO3_Rotation method)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationToWignerDMatrix">(core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.run">run() (core.common.relaxation.optimizers.LBFGS method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.run">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS method)</a>
+</li>
+        <li><a href="autoapi/core/components/runner/index.html#core.components.runner.MockRunner.run">(core.components.runner.MockRunner method)</a>
+</li>
+        <li><a href="autoapi/core/components/runner/index.html#core.components.runner.Runner.run">(core.components.runner.Runner method)</a>
+</li>
+        <li><a href="autoapi/core/tasks/index.html#core.tasks.PredictTask.run">(core.tasks.PredictTask method)</a>
+</li>
+        <li><a href="autoapi/core/tasks/index.html#core.tasks.RelaxationTask.run">(core.tasks.RelaxationTask method)</a>
+</li>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.BaseTask.run">(core.tasks.task.BaseTask method)</a>
+</li>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.PredictTask.run">(core.tasks.task.PredictTask method)</a>
+</li>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.RelaxationTask.run">(core.tasks.task.RelaxationTask method)</a>
+</li>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.TrainTask.run">(core.tasks.task.TrainTask method)</a>
+</li>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.ValidateTask.run">(core.tasks.task.ValidateTask method)</a>
+</li>
+        <li><a href="autoapi/core/tasks/index.html#core.tasks.TrainTask.run">(core.tasks.TrainTask method)</a>
+</li>
+        <li><a href="autoapi/core/tasks/index.html#core.tasks.ValidateTask.run">(core.tasks.ValidateTask method)</a>
+</li>
+        <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.StructureGenerator.run">(data.oc.structure_generator.StructureGenerator method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.run_packmol">run_packmol() (data.oc.core.interface_config.InterfaceConfig method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.run_packmol">(data.oc.core.InterfaceConfig method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.run_placements">run_placements() (in module data.oc.structure_generator)</a>
+</li>
+      <li><a href="autoapi/core/trainers/ocp_trainer/index.html#core.trainers.ocp_trainer.OCPTrainer.run_relaxations">run_relaxations() (core.trainers.ocp_trainer.OCPTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.OCPTrainer.run_relaxations">(core.trainers.OCPTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/_cli/index.html#core._cli.Runner">Runner (class in core._cli)</a>
+
+      <ul>
+        <li><a href="autoapi/core/components/runner/index.html#core.components.runner.Runner">(class in core.components.runner)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/_cli/index.html#core._cli.runner_wrapper">runner_wrapper() (in module core._cli)</a>
+
+      <ul>
+        <li><a href="autoapi/core/_cli_hydra/index.html#core._cli_hydra.runner_wrapper">(in module core._cli_hydra)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="S">S</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.s">s (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.s">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.s">(in module data.oc.scripts.precompute_sample_structures)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SeparableS2Activation.s2_act">s2_act (core.models.equiformer_v2.activation.SeparableS2Activation attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.S2Activation">S2Activation (class in core.models.equiformer_v2.activation)</a>
+</li>
+      <li><a href="autoapi/core/scripts/download_data/index.html#core.scripts.download_data.S2EF_COUNTS">S2EF_COUNTS (in module core.scripts.download_data)</a>
+</li>
+      <li><a href="autoapi/core/scripts/download_large_files/index.html#core.scripts.download_large_files.S3_ROOT">S3_ROOT (in module core.scripts.download_large_files)</a>
+</li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.sample_property_metadata">sample_property_metadata() (core.datasets.ase_datasets.AseAtomsDataset method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseDBDataset.sample_property_metadata">(core.datasets.ase_datasets.AseDBDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseReadMultiStructureDataset.sample_property_metadata">(core.datasets.ase_datasets.AseReadMultiStructureDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseDBDataset.sample_property_metadata">(core.datasets.AseDBDataset method)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.AseReadMultiStructureDataset.sample_property_metadata">(core.datasets.AseReadMultiStructureDataset method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Lifetime.SAVE">SAVE (ocpapi.Lifetime attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.Lifetime.SAVE">(ocpapi.workflows.adsorbates.Lifetime attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.Lifetime.SAVE">(ocpapi.workflows.Lifetime attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.save">save() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.save">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.save_checkpoint">save_checkpoint() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.save_experiment_log">save_experiment_log() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.save_full">save_full (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.save_full">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.save_results">save_results() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.save_results">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/components/runner/index.html#core.components.runner.MockRunner.save_state">save_state() (core.components.runner.MockRunner method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/components/runner/index.html#core.components.runner.Runner.save_state">(core.components.runner.Runner method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.sbf">sbf (core.models.dimenet_plus_plus.DimeNetPlusPlus attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.GateActivation.scalar_act">scalar_act (core.models.equiformer_v2.activation.GateActivation attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SeparableS2Activation.scalar_act">(core.models.equiformer_v2.activation.SeparableS2Activation attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.scalar_block">scalar_block (core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_MLP">scalar_MLP (core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2Block.scalar_nonlinearity">scalar_nonlinearity (core.models.equiformer_v2.heads.rank2.Rank2Block attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock.scalar_nonlinearity">(core.models.equiformer_v2.heads.rank2.Rank2DecompositionEdgeBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale">scale() (core.models.gemnet_oc.layers.force_scaler.ForceScaler method)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.RadialBasis.scale_basis">scale_basis (core.models.gemnet_oc.layers.radial_basis.RadialBasis attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.scale_basis">(core.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.scale_basis">(core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_cbf">scale_cbf (core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.scale_cbf_sum">scale_cbf_sum (core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_cbf_sum">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_cbf_sum">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSigmoid.scale_factor">scale_factor (core.models.equiformer_v2.activation.ScaledSigmoid attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSiLU.scale_factor">(core.models.equiformer_v2.activation.ScaledSiLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.scale_factor">(core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.scale_factor">(core.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.ScaledSiLU.scale_factor">(core.models.gemnet.layers.base_layers.ScaledSiLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.ScaledSiLU.scale_factor">(core.models.gemnet_gp.layers.base_layers.ScaledSiLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.ScaledSiLU.scale_factor">(core.models.gemnet_oc.layers.base_layers.ScaledSiLU attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.scale_factor">(core.models.gemnet_oc.layers.force_scaler.ForceScaler attribute)</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.scale_factor">(core.modules.scaling.scale_factor.ScaleFactor attribute)</a>
+</li>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.scale_factor">(core.modules.scaling.ScaleFactor attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scale_num_blocks">scale_num_blocks (core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.scale_num_blocks">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.scale_rbf">scale_rbf (core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.scale_rbf">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_rbf">(core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.scale_rbf">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.PairInteraction.scale_rbf_sum">scale_rbf_sum (core.models.gemnet_oc.layers.interaction_block.PairInteraction attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.scale_sbf_sum">scale_sbf_sum (core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.AtomUpdateBlock.scale_sum">scale_sum (core.models.gemnet.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.scale_sum">(core.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.scale_sum">(core.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/compat/index.html#core.modules.scaling.compat.ScaleDict">ScaleDict (in module core.modules.scaling.compat)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSigmoid">ScaledSigmoid (class in core.models.equiformer_v2.activation)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSiLU">ScaledSiLU (class in core.models.equiformer_v2.activation)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.ScaledSiLU">(class in core.models.gemnet.layers.base_layers)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.ScaledSiLU">(class in core.models.gemnet_gp.layers.base_layers)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#core.models.gemnet_oc.layers.base_layers.ScaledSiLU">(class in core.models.gemnet_oc.layers.base_layers)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSmoothLeakyReLU">ScaledSmoothLeakyReLU (class in core.models.equiformer_v2.activation)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSwiGLU">ScaledSwiGLU (class in core.models.equiformer_v2.activation)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor">ScaleFactor (class in core.modules.scaling)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor">(class in core.modules.scaling.scale_factor)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.scaler">scaler (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.scaler">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.scatter_atoms">scatter_atoms (core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.scatter_atoms">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.scatter_det">scatter_det() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.scatter_sum">scatter_sum() (in module core.models.gemnet_gp.layers.atom_update_block)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.scatter_to_model_parallel_region">scatter_to_model_parallel_region() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.ScatterToModelParallelRegion">ScatterToModelParallelRegion (class in core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_params">scheduler_params (core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.scheduler_type">scheduler_type (core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap">SchNetWrap (class in core.models.schnet)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.select_edges">select_edges() (core.models.gemnet.gemnet.GemNetT method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.select_edges">(core.models.gemnet.GemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_edges">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.select_edges">(core.models.gemnet_gp.GraphParallelGemNetT method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.select_symmetric_edges">select_symmetric_edges() (core.models.gemnet.gemnet.GemNetT method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.select_symmetric_edges">(core.models.gemnet.GemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_symmetric_edges">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.select_symmetric_edges">(core.models.gemnet_gp.GraphParallelGemNetT method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.select_symmetric_edges">(core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.select_symmetric_edges">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.select_symmetric_edges">(core.models.painn.PaiNN method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.select_symmetric_edges">(core.models.painn.painn.PaiNN method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SeparableS2Activation">SeparableS2Activation (class in core.models.equiformer_v2.activation)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#core.models.gemnet.layers.atom_update_block.OutputBlock.seq_energy">seq_energy (core.models.gemnet.layers.atom_update_block.OutputBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#core.models.gemnet_gp.layers.atom_update_block.OutputBlock.seq_energy">(core.models.gemnet_gp.layers.atom_update_block.OutputBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#core.models.gemnet_oc.layers.atom_update_block.OutputBlock.seq_energy_pre">seq_energy_pre (core.models.gemnet_oc.layers.atom_update_block.OutputBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.set_">set_() (core.modules.scaling.scale_factor.ScaleFactor method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.set_">(core.modules.scaling.ScaleFactor method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk.set_bulk_id_from_db">set_bulk_id_from_db() (data.oc.core.Bulk method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk.set_bulk_id_from_db">(data.oc.core.bulk.Bulk method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.set_cells">set_cells() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.set_cells">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/workflows/context/index.html#ocpapi.workflows.context.set_context_var">set_context_var() (in module ocpapi.workflows.context)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.set_cutoffs">set_cutoffs() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.set_cutoffs">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.set_embedding">set_embedding() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.set_embedding">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.BalancedBatchSampler.set_epoch">set_epoch() (core.common.data_parallel.BalancedBatchSampler method)</a>
+</li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.BalancedBatchSampler.set_epoch_and_start_iteration">set_epoch_and_start_iteration() (core.common.data_parallel.BalancedBatchSampler method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.StatefulDistributedSampler.set_epoch_and_start_iteration">(core.common.data_parallel.StatefulDistributedSampler method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.set_fixed_atom_constraints">set_fixed_atom_constraints() (in module data.oc.core.slab)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation.set_lmax">set_lmax() (core.models.escn.so3.SO3_Rotation method)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.set_lmax_mmax">set_lmax_mmax() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.set_lmax_mmax">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.set_max_neighbors">set_max_neighbors() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.set_max_neighbors">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/databases/update/index.html#data.oc.databases.update.set_pbc_patch">set_pbc_patch() (in module data.oc.databases.update)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.set_positions">set_positions() (cattsunami.core.OCPNEB method)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.set_positions">(cattsunami.core.ocpneb.OCPNEB method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.set_positions">(core.common.relaxation.optimizable.OptimizableBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.set_positions">(core.common.relaxation.optimizable.OptimizableUnitCellBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.set_positions">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.set_positions">(core.common.relaxation.OptimizableUnitCellBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.set_seed">set_seed() (core.trainers.base_trainer.BaseTrainer static method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.set_seed">(core.trainers.BaseTrainer static method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Bulk.set_source_dataset_id">set_source_dataset_id() (data.oc.core.Bulk method)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/bulk/index.html#data.oc.core.bulk.Bulk.set_source_dataset_id">(data.oc.core.bulk.Bulk method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Rotation.set_wigner">set_wigner() (core.models.equiformer_v2.so3.SO3_Rotation method)</a>
+</li>
+      <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.BaseTask.setup">setup() (core.tasks.task.BaseTask method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.setup">(in module core.common.distutils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.setup_env_local">setup_env_local() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.setup_env_vars">setup_env_vars() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.setup_experimental_imports">setup_experimental_imports() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.setup_gp">setup_gp() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.setup_imports">setup_imports() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.setup_logging">setup_logging() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/data/odac/setup_vasp/index.html#data.odac.setup_vasp.setup_vasp_calc_mof">setup_vasp_calc_mof() (in module data.odac.setup_vasp)</a>
+</li>
+      <li><a href="autoapi/data/odac/setup_vasp/index.html#data.odac.setup_vasp.setup_vasp_mof_and_ads">setup_vasp_mof_and_ads() (in module data.odac.setup_vasp)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.SeverityLevelBetween">SeverityLevelBetween (class in core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.shadow_params">shadow_params (core.modules.exponential_moving_average.ExponentialMovingAverage attribute)</a>
+</li>
+      <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.LmdbDataset.sharded">sharded (core.datasets.lmdb_dataset.LmdbDataset attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LmdbDataset.sharded">(core.datasets.LmdbDataset attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.share_atom_edge_embedding">share_atom_edge_embedding (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.share_atom_edge_embedding">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.share_atom_edge_embedding">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.shared_parameters">shared_parameters (core.models.gemnet.gemnet.GemNetT attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.shared_parameters">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#core.preprocessing.atoms_to_graphs.shell">shell (in module core.preprocessing.atoms_to_graphs)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/activations/index.html#core.models.utils.activations.Act.shift">shift (core.models.utils.activations.Act attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.shift">(data.oc.core.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.shift">(data.oc.core.slab.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.SlabMetadata.shift">(ocpapi.client.models.SlabMetadata attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.SlabMetadata.shift">(ocpapi.client.SlabMetadata attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.SlabMetadata.shift">(ocpapi.SlabMetadata attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.show_timing_info">show_timing_info (core.models.escn.eSCN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.show_timing_info">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.show_timing_info">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.show_timing_info">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.SigmoidSmearing">SigmoidSmearing (class in core.models.scn.smearing)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/smearing/index.html#core.models.scn.smearing.SiLUSmearing">SiLUSmearing (class in core.models.scn.smearing)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.Sine">Sine (class in core.models.utils.basis)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SINESmearing">SINESmearing (class in core.models.utils.basis)</a>
+</li>
+      <li><a href="autoapi/data/om/omdata/orca/recipes/index.html#data.om.omdata.orca.recipes.single_point_calculation">single_point_calculation() (in module data.om.omdata.orca.recipes)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/base_layers/index.html#core.models.gemnet.layers.base_layers.SiQU">SiQU (class in core.models.gemnet.layers.base_layers)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#core.models.gemnet_gp.layers.base_layers.SiQU">(class in core.models.gemnet_gp.layers.base_layers)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SIREN">SIREN (class in core.models.utils.basis)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.sites">sites (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.sites">(data.oc.core.AdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.sites">(data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.MultipleAdsorbateSlabConfig.sites">(data.oc.core.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab">Slab (class in data.oc.core)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab">(class in data.oc.core.slab)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Slab">(class in ocpapi)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Slab">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Slab">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig.slab">slab (data.oc.core.adsorbate_slab_config.AdsorbateSlabConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.AdsorbateSlabConfig.slab">(data.oc.core.AdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig.slab">(data.oc.core.multi_adsorbate_slab_config.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.MultipleAdsorbateSlabConfig.slab">(data.oc.core.MultipleAdsorbateSlabConfig attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabConfigs.slab">(ocpapi.AdsorbateSlabConfigs attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxations.slab">(ocpapi.AdsorbateSlabRelaxations attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsRequest.slab">(ocpapi.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabConfigs.slab">(ocpapi.client.AdsorbateSlabConfigs attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsRequest.slab">(ocpapi.client.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabConfigs.slab">(ocpapi.client.models.AdsorbateSlabConfigs attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsRequest.slab">(ocpapi.client.models.AdsorbateSlabRelaxationsRequest attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.slab">(ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateSlabRelaxations.slab">(ocpapi.workflows.AdsorbateSlabRelaxations attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.SlabMetadata">SlabMetadata (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.SlabMetadata">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.SlabMetadata">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Slabs">Slabs (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Slabs">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Slabs">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateBindingSites.slabs">slabs (ocpapi.AdsorbateBindingSites attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Slabs.slabs">(ocpapi.client.models.Slabs attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Slabs.slabs">(ocpapi.client.Slabs attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Slabs.slabs">(ocpapi.Slabs attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateBindingSites.slabs">(ocpapi.workflows.AdsorbateBindingSites attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateBindingSites.slabs">(ocpapi.workflows.adsorbates.AdsorbateBindingSites attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/utils/activations/index.html#core.models.utils.activations.Act.slope">slope (core.models.utils.activations.Act attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.Basis.smearing">smearing (core.models.utils.basis.Basis attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SmoothLeakyReLU">SmoothLeakyReLU (class in core.models.equiformer_v2.activation)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.so2_block_source">so2_block_source (core.models.escn.escn.MessageBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.so2_block_source">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.so2_block_target">so2_block_target (core.models.escn.escn.MessageBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.so2_block_target">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.so2_conv">so2_conv (core.models.escn.escn.SO2Block attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.so2_conv">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_1">so2_conv_1 (core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.so2_conv_2">so2_conv_2 (core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution">SO2_Convolution (class in core.models.equiformer_v2.so2_ops)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear">SO2_Linear (class in core.models.equiformer_v2.so2_ops)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.so2_m_conv">so2_m_conv (core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_m_Convolution">SO2_m_Convolution (class in core.models.equiformer_v2.so2_ops)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.so2_m_fc">so2_m_fc (core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block">SO2Block (class in core.models.escn.escn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block">(class in core.models.escn.escn_exportable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv">SO2Conv (class in core.models.escn.escn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv">(class in core.models.escn.escn_exportable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention">SO2EquivariantGraphAttention (class in core.models.equiformer_v2.transformer_block)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding">SO3_Embedding (class in core.models.equiformer_v2.so3)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding">(class in core.models.escn.so3)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Grid">SO3_Grid (class in core.models.equiformer_v2.so3)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid">(class in core.models.escn.so3)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.SO3_Grid">(class in core.models.escn.so3_exportable)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_grid">SO3_grid (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_grid">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.SO3_grid">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.SO3_grid">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_grid">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.SO3_grid">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.SO3_grid">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.SO3_grid">(core.models.escn.escn.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.SO3_grid">(core.models.escn.escn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.SO3_grid">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.SO3_grid">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.SO3_grid">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Linear">SO3_Linear (class in core.models.equiformer_v2.so3)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_1">so3_linear_1 (core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.so3_linear_2">so3_linear_2 (core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_LinearV2">SO3_LinearV2 (class in core.models.equiformer_v2.so3)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Rotation">SO3_Rotation (class in core.models.equiformer_v2.so3)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation">(class in core.models.escn.so3)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.SO3_rotation">SO3_rotation (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.SO3_rotation">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.SO3_rotation">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.SO3_rotation">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.SO3_rotation">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.BernsteinBasis.softplus">softplus (core.models.gemnet.layers.radial_basis.BernsteinBasis attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.BernsteinBasis.softplus">(core.models.gemnet_gp.layers.radial_basis.BernsteinBasis attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.BernsteinBasis.softplus">(core.models.gemnet_oc.layers.radial_basis.BernsteinBasis attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Solvent">Solvent (class in data.oc.core)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#data.oc.core.solvent.Solvent">(class in data.oc.core.solvent)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.solvent">solvent (data.oc.core.interface_config.InterfaceConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.solvent">(data.oc.core.InterfaceConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/utils/vasp_flags/index.html#data.oc.utils.vasp_flags.SOLVENT_BASE_FLAGS">SOLVENT_BASE_FLAGS (in module data.oc.utils.vasp_flags)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/vasp_flags/index.html#data.oc.utils.vasp_flags.SOLVENT_BULK_VASP_FLAGS">SOLVENT_BULK_VASP_FLAGS (in module data.oc.utils.vasp_flags)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Solvent.solvent_db_path">solvent_db_path (data.oc.core.Solvent attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#data.oc.core.solvent.Solvent.solvent_db_path">(data.oc.core.solvent.Solvent attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Solvent.solvent_density">solvent_density (data.oc.core.Solvent attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#data.oc.core.solvent.Solvent.solvent_density">(data.oc.core.solvent.Solvent attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.solvent_depth">solvent_depth (data.oc.core.interface_config.InterfaceConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.solvent_depth">(data.oc.core.InterfaceConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Solvent.solvent_id_from_db">solvent_id_from_db (data.oc.core.Solvent attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/solvent/index.html#data.oc.core.solvent.Solvent.solvent_id_from_db">(data.oc.core.solvent.Solvent attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.solvent_interstitial_gap">solvent_interstitial_gap (data.oc.core.interface_config.InterfaceConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.solvent_interstitial_gap">(data.oc.core.InterfaceConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/databases/pkls/index.html#data.oc.databases.pkls.SOLVENT_PKL_PATH">SOLVENT_PKL_PATH (in module data.oc.databases.pkls)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.source_embedding">source_embedding (core.models.escn.escn.EdgeBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.source_embedding">(core.models.escn.escn_exportable.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.source_embedding">(core.models.scn.scn.DistanceBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.spawn_multi_process">spawn_multi_process() (in module core.common.test_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.sph_feature_size">sph_feature_size (core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/basis_utils/index.html#core.models.gemnet.layers.basis_utils.sph_harm_prefactor">sph_harm_prefactor() (in module core.models.gemnet.layers.basis_utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/basis_utils/index.html#core.models.gemnet_gp.layers.basis_utils.sph_harm_prefactor">(in module core.models.gemnet_gp.layers.basis_utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#core.models.gemnet_oc.layers.basis_utils.sph_harm_prefactor">(in module core.models.gemnet_oc.layers.basis_utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.sphere_basis">sphere_basis (core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.sphere_basis">(core.models.scn.spherical_harmonics.SphericalHarmonicsHelper attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.sphere_basis">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.sphere_basis_reduce">sphere_basis_reduce (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels">sphere_channels (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.sphere_channels">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.sphere_channels">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Convolution.sphere_channels">(core.models.equiformer_v2.so2_ops.SO2_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_Linear.sphere_channels">(core.models.equiformer_v2.so2_ops.SO2_Linear attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#core.models.equiformer_v2.so2_ops.SO2_m_Convolution.sphere_channels">(core.models.equiformer_v2.so2_ops.SO2_m_Convolution attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.sphere_channels">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.sphere_channels">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.sphere_channels">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.sphere_channels">(core.models.escn.escn.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.MessageBlock.sphere_channels">(core.models.escn.escn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Block.sphere_channels">(core.models.escn.escn.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.SO2Conv.sphere_channels">(core.models.escn.escn.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.sphere_channels">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.LayerBlock.sphere_channels">(core.models.escn.escn_exportable.LayerBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.MessageBlock.sphere_channels">(core.models.escn.escn_exportable.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Block.sphere_channels">(core.models.escn.escn_exportable.SO2Block attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.SO2Conv.sphere_channels">(core.models.escn.escn_exportable.SO2Conv attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.sphere_channels">(core.models.scn.scn.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.sphere_channels">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.sphere_channels">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_channels_all">sphere_channels_all (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_channels_all">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.sphere_channels_all">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.sphere_channels_all">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.sphere_channels_all">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.sphere_channels_all">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.LayerBlock.sphere_channels_all">(core.models.escn.escn.LayerBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.sphere_channels_reduce">sphere_channels_reduce (core.models.scn.scn.EdgeBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock.sphere_channels_reduce">(core.models.scn.scn.MessageBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.sphere_channels_reduce">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.sphere_channels_reduce">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.sphere_embedding">sphere_embedding (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.sphere_embedding">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.sphere_embedding">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.sphere_embedding">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.sphere_embedding">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.sphere_embedding">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.sphere_embedding">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.sphere_embedding">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.sphere_points">sphere_points (core.models.escn.eSCN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.sphere_points">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.sphere_points">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/basis_utils/index.html#core.models.gemnet.layers.basis_utils.spherical_bessel_formulas">spherical_bessel_formulas() (in module core.models.gemnet.layers.basis_utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/basis_utils/index.html#core.models.gemnet_gp.layers.basis_utils.spherical_bessel_formulas">(in module core.models.gemnet_gp.layers.basis_utils)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#core.models.gemnet_oc.layers.basis_utils.spherical_bessel_formulas">(in module core.models.gemnet_oc.layers.basis_utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#core.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer">SphericalBasisLayer (class in core.models.gemnet_oc.layers.spherical_basis)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#core.models.gemnet.layers.radial_basis.SphericalBesselBasis">SphericalBesselBasis (class in core.models.gemnet.layers.radial_basis)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#core.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis">(class in core.models.gemnet_gp.layers.radial_basis)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#core.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis">(class in core.models.gemnet_oc.layers.radial_basis)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork">SphericalChannelNetwork (class in core.models.scn)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork">(class in core.models.scn.scn)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper">SphericalHarmonicsHelper (class in core.models.scn.spherical_harmonics)</a>
+</li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SphericalSmearing">SphericalSmearing (class in core.models.utils.basis)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.MessageBlock.sphharm">sphharm (core.models.scn.scn.MessageBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.sphharm_list">sphharm_list (core.models.scn.scn.EdgeBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.sphharm_list">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.sphharm_list">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.sphharm_norm">sphharm_norm (core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.sphharm_norm">(core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead attribute)</a>, <a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#id0">[1]</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.sphharm_norm">(core.models.equiformer_v2.heads.Rank2SymmetricTensorHead attribute)</a>, <a href="autoapi/core/models/equiformer_v2/heads/index.html#id0">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.sphharm_weights">sphharm_weights (core.models.escn.eSCN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.sphharm_weights">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.eSCN.sphharm_weights">(core.models.escn.escn_exportable.eSCN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/scripts/make_submission_file/index.html#core.scripts.make_submission_file.SPLITS">SPLITS (in module core.scripts.make_submission_file)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Bulk.src_id">src_id (ocpapi.Bulk attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Bulk.src_id">(ocpapi.client.Bulk attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Bulk.src_id">(ocpapi.client.models.Bulk attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.standardize_bulk">standardize_bulk() (in module data.oc.core.slab)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#data.oc.scripts.precompute_sample_structures.standardize_bulk">(in module data.oc.scripts.precompute_sample_structures)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.StatefulDistributedSampler.start_iter">start_iter (core.common.data_parallel.StatefulDistributedSampler attribute)</a>
+</li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.state_dict">state_dict() (core.modules.exponential_moving_average.ExponentialMovingAverage method)</a>
+</li>
+      <li><a href="autoapi/core/common/data_parallel/index.html#core.common.data_parallel.StatefulDistributedSampler">StatefulDistributedSampler (class in core.common.data_parallel)</a>
+</li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor.ScaleFactor.stats">stats (core.modules.scaling.scale_factor.ScaleFactor attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/modules/scaling/index.html#core.modules.scaling.ScaleFactor.stats">(core.modules.scaling.ScaleFactor attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Status">Status (class in ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Status">(class in ocpapi.client)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Status">(class in ocpapi.client.models)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.status">status (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.status">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.status">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std">std (core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std">(core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.std_balance_degrees">std_balance_degrees (core.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.std_balance_degrees">(core.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_high">std_high (core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_max">std_init_max (core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.std_init_min">std_init_min (core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams.std_low">std_low (core.models.equiformer_v2.trainers.dens_trainer.DenoisingPosParams attribute)</a>
+</li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.step">step (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.step">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.step">step() (core.common.relaxation.optimizers.LBFGS method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.step">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS method)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.step">(core.models.equiformer_v2.trainers.lr_scheduler.LRScheduler method)</a>
+</li>
+        <li><a href="autoapi/core/modules/scheduler/index.html#core.modules.scheduler.LRScheduler.step">(core.modules.scheduler.LRScheduler method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.steps">steps (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.steps">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.store">store() (core.modules.exponential_moving_average.ExponentialMovingAverage method)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableUnitCellBatch.stress">stress (core.common.relaxation.optimizable.OptimizableUnitCellBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableUnitCellBatch.stress">(core.common.relaxation.OptimizableUnitCellBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.StructureGenerator">StructureGenerator (class in data.oc.structure_generator)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.Client.submit_adsorbate_slab_relaxations">submit_adsorbate_slab_relaxations() (ocpapi.Client method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Client.submit_adsorbate_slab_relaxations">(ocpapi.client.Client method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/client/index.html#ocpapi.client.client.Client.submit_adsorbate_slab_relaxations">(ocpapi.client.client.Client method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/_cli_hydra/index.html#core._cli_hydra.Submitit">Submitit (class in core._cli_hydra)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_edges">subselect_edges() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.subselect_edges">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_graph">subselect_graph() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.subselect_graph">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.Subset">Subset (class in core.datasets.base_dataset)</a>
+</li>
+      <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Status.SUCCESS">SUCCESS (ocpapi.client.models.Status attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Status.SUCCESS">(ocpapi.client.Status attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Status.SUCCESS">(ocpapi.Status attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/adsorbml/scripts/dense_eval/index.html#adsorbml.scripts.dense_eval.SUCCESS_THRESHOLD">SUCCESS_THRESHOLD (in module adsorbml.scripts.dense_eval)</a>
+</li>
+      <li><a href="autoapi/core/modules/loss/index.html#core.modules.loss.DDPLoss.sum">sum() (core.modules.loss.DDPLoss method)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/index.html#data.oc.utils.DetectTrajAnomaly.surface_change_cutoff_multiplier">surface_change_cutoff_multiplier (data.oc.utils.DetectTrajAnomaly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/flag_anomaly/index.html#data.oc.utils.flag_anomaly.DetectTrajAnomaly.surface_change_cutoff_multiplier">(data.oc.utils.flag_anomaly.DetectTrajAnomaly attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/adsorbml/scripts/process_mlrs/index.html#adsorbml.scripts.process_mlrs.SURFACE_CHANGE_CUTOFF_MULTIPLIER">SURFACE_CHANGE_CUTOFF_MULTIPLIER (in module adsorbml.scripts.process_mlrs)</a>
+</li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.StructureGenerator.surface_index">surface_index (data.oc.structure_generator.StructureGenerator attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.swap_output">swap_output (core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SwiGLU">SwiGLU (class in core.models.equiformer_v2.activation)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.sym">sym (in module core.models.dimenet_plus_plus)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.symmetric_edge_symmetrization">symmetric_edge_symmetrization (core.models.painn.PaiNN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.symmetric_edge_symmetrization">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.symmetric_mp">symmetric_mp (core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.symmetric_mp">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.symmetrize_edges">symmetrize_edges() (core.models.gemnet_oc.gemnet_oc.GemNetOC method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.symmetrize_edges">(core.models.gemnet_oc.GemNetOC method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.symmetrize_edges">(core.models.painn.PaiNN method)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.symmetrize_edges">(core.models.painn.painn.PaiNN method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.synchronize">synchronize() (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.system_id">system_id (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxations.system_id">(ocpapi.AdsorbateSlabRelaxations attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationsSystem.system_id">(ocpapi.AdsorbateSlabRelaxationsSystem attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.system_id">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationsSystem.system_id">(ocpapi.client.AdsorbateSlabRelaxationsSystem attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.system_id">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationsSystem.system_id">(ocpapi.client.models.AdsorbateSlabRelaxationsSystem attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.system_id">(ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateSlabRelaxations.system_id">(ocpapi.workflows.AdsorbateSlabRelaxations attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="T">T</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/common/distutils/index.html#core.common.distutils.T">T (in module core.common.distutils)</a>
+</li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.T_co">T_co (in module core.datasets.base_dataset)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.T_co">(in module core.datasets.lmdb_dataset)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.tag_surface_atoms">tag_surface_atoms() (in module data.oc.core.slab)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.tags">tags (ocpapi.AdsorbateSlabRelaxationResult attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Atoms.tags">(ocpapi.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.tags">(ocpapi.client.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Atoms.tags">(ocpapi.client.Atoms attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.tags">(ocpapi.client.models.AdsorbateSlabRelaxationResult attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Atoms.tags">(ocpapi.client.models.Atoms attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/target_metadata_guesser/index.html#core.datasets.target_metadata_guesser.target_constant_shape">target_constant_shape() (in module core.datasets.target_metadata_guesser)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.EdgeBlock.target_embedding">target_embedding (core.models.escn.escn.EdgeBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/escn/escn_exportable/index.html#core.models.escn.escn_exportable.EdgeBlock.target_embedding">(core.models.escn.escn_exportable.EdgeBlock attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.DistanceBlock.target_embedding">(core.models.scn.scn.DistanceBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/target_metadata_guesser/index.html#core.datasets.target_metadata_guesser.target_extensive">target_extensive() (in module core.datasets.target_metadata_guesser)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.Evaluator.target_metrics">target_metrics (core.modules.evaluator.Evaluator attribute)</a>
+</li>
+      <li><a href="autoapi/core/datasets/target_metadata_guesser/index.html#core.datasets.target_metadata_guesser.target_per_atom">target_per_atom() (in module core.datasets.target_metadata_guesser)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.Evaluator.task">task (core.modules.evaluator.Evaluator attribute)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.Evaluator.task_metrics">task_metrics (core.modules.evaluator.Evaluator attribute)</a>
+</li>
+      <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.Evaluator.task_primary_metric">task_primary_metric (core.modules.evaluator.Evaluator attribute)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.temp_split_string">temp_split_string (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.tensor_stats">tensor_stats() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.TensorboardLogger">TensorboardLogger (class in core.common.logger)</a>
+</li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.test_dataset">test_dataset (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.test_dataset">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#data.oc.core.adsorbate_slab_config.there_is_overlap">there_is_overlap() (in module data.oc.core.adsorbate_slab_config)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.tile_and_tag_atoms">tile_and_tag_atoms() (in module data.oc.core.slab)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.tile_atoms">tile_atoms() (in module data.oc.core.slab)</a>
+</li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.timestamp_id">timestamp_id (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.timestamp_id">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxationResult.to_ase_atoms">to_ase_atoms() (ocpapi.AdsorbateSlabRelaxationResult method)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.Atoms.to_ase_atoms">(ocpapi.Atoms method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.AdsorbateSlabRelaxationResult.to_ase_atoms">(ocpapi.client.AdsorbateSlabRelaxationResult method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.Atoms.to_ase_atoms">(ocpapi.client.Atoms method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.AdsorbateSlabRelaxationResult.to_ase_atoms">(ocpapi.client.models.AdsorbateSlabRelaxationResult method)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.Atoms.to_ase_atoms">(ocpapi.client.models.Atoms method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Embedding.to_grid">to_grid() (core.models.equiformer_v2.so3.SO3_Embedding method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_Grid.to_grid">(core.models.equiformer_v2.so3.SO3_Grid method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Embedding.to_grid">(core.models.escn.so3.SO3_Embedding method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Grid.to_grid">(core.models.escn.so3.SO3_Grid method)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.SO3_Grid.to_grid">(core.models.escn.so3_exportable.SO3_Grid method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.CoefficientMapping.to_m">to_m (core.models.escn.so3.CoefficientMapping attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.SphericalHarmonicsHelper.ToGrid">ToGrid() (core.models.scn.spherical_harmonics.SphericalHarmonicsHelper method)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/index.html#data.oc.core.Slab.top">top (data.oc.core.Slab attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/slab/index.html#data.oc.core.slab.Slab.top">(data.oc.core.slab.Slab attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/models/index.html#ocpapi.client.models.SlabMetadata.top">(ocpapi.client.models.SlabMetadata attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/client/index.html#ocpapi.client.SlabMetadata.top">(ocpapi.client.SlabMetadata attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/index.html#ocpapi.SlabMetadata.top">(ocpapi.SlabMetadata attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.torch_results">torch_results (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.torch_results">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.train">train() (core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.train">(core.trainers.base_trainer.BaseTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.train">(core.trainers.BaseTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/ocp_trainer/index.html#core.trainers.ocp_trainer.OCPTrainer.train">(core.trainers.ocp_trainer.OCPTrainer method)</a>
+</li>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.OCPTrainer.train">(core.trainers.OCPTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.train_dataset">train_dataset (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.train_dataset">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.train_on_oc20_total_energies">train_on_oc20_total_energies (core.datasets.oc22_lmdb_dataset.OC22LmdbDataset attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/tutorial_utils/index.html#core.common.tutorial_utils.train_test_val_split">train_test_val_split() (in module core.common.tutorial_utils)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/index.html#cattsunami.core.OCPNEB.trainer">trainer (cattsunami.core.OCPNEB attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/cattsunami/core/ocpneb/index.html#cattsunami.core.ocpneb.OCPNEB.trainer">(cattsunami.core.ocpneb.OCPNEB attribute)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/ase_utils/index.html#core.common.relaxation.ase_utils.OCPCalculator.trainer">(core.common.relaxation.ase_utils.OCPCalculator attribute)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.trainer">(core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+</li>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.trainer">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/tasks/index.html#core.tasks.TrainTask">TrainTask (class in core.tasks)</a>
+
+      <ul>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.TrainTask">(class in core.tasks.task)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.traj_dir">traj_dir (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_dir">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.traj_names">traj_names (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.traj_names">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.trajectories">trajectories (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.trajectories">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.TransBlockV2">TransBlockV2 (class in core.models.equiformer_v2.transformer_block)</a>
+</li>
+      <li><a href="autoapi/cattsunami/databases/index.html#cattsunami.databases.TRANSFER_REACTION_DB_PATH">TRANSFER_REACTION_DB_PATH (in module cattsunami.databases)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.transform">transform (core.common.relaxation.optimizable.OptimizableBatch attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.transform">(core.common.relaxation.OptimizableBatch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/datasets/ase_datasets/index.html#core.datasets.ase_datasets.AseAtomsDataset.transforms">transforms (core.datasets.ase_datasets.AseAtomsDataset attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/datasets/lmdb_dataset/index.html#core.datasets.lmdb_dataset.LmdbDataset.transforms">(core.datasets.lmdb_dataset.LmdbDataset attribute)</a>
+</li>
+        <li><a href="autoapi/core/datasets/index.html#core.datasets.LmdbDataset.transforms">(core.datasets.LmdbDataset attribute)</a>
+</li>
+        <li><a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#core.datasets.oc22_lmdb_dataset.OC22LmdbDataset.transforms">(core.datasets.oc22_lmdb_dataset.OC22LmdbDataset attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.traverse_adsorbate_desorption">traverse_adsorbate_desorption() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.traverse_adsorbate_dissociation">traverse_adsorbate_dissociation() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.traverse_adsorbate_general">traverse_adsorbate_general() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.traverse_adsorbate_transfer">traverse_adsorbate_transfer() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/core/common/gp_utils/index.html#core.common.gp_utils.trim_tensor">trim_tensor() (in module core.common.gp_utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction">trip_interaction (core.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.trip_interaction">(core.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.InteractionBlock.trip_interaction">(core.models.gemnet_oc.layers.interaction_block.InteractionBlock attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction">TripletInteraction (class in core.models.gemnet.layers.interaction_block)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction">(class in core.models.gemnet_gp.layers.interaction_block)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction">(class in core.models.gemnet_oc.layers.interaction_block)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.triplets">triplets() (core.models.dimenet_plus_plus.DimeNetPlusPlus method)</a>
+</li>
+      <li><a href="autoapi/core/common/hpo_utils/index.html#core.common.hpo_utils.tune_reporter">tune_reporter() (in module core.common.hpo_utils)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="U">U</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.AdsorbateSlabRelaxations.ui_url">ui_url (ocpapi.AdsorbateSlabRelaxations attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations.ui_url">(ocpapi.workflows.adsorbates.AdsorbateSlabRelaxations attribute)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.AdsorbateSlabRelaxations.ui_url">(ocpapi.workflows.AdsorbateSlabRelaxations attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/scripts/download_data/index.html#core.scripts.download_data.uncompress_data">uncompress_data() (in module core.scripts.download_data)</a>
+</li>
+      <li><a href="autoapi/core/datasets/target_metadata_guesser/index.html#core.datasets.target_metadata_guesser.uniform_atoms_lengths">uniform_atoms_lengths() (in module core.datasets.target_metadata_guesser)</a>
+</li>
+      <li><a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#data.odac.promising_mof.promising_mof_energies.energy.unique_combinations_count">unique_combinations_count (in module data.odac.promising_mof.promising_mof_energies.energy)</a>
+</li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.UniqueKeyLoader">UniqueKeyLoader (class in core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/efficient/index.html#core.models.gemnet.layers.efficient.EfficientInteractionBilinear.units_out">units_out (core.models.gemnet.layers.efficient.EfficientInteractionBilinear attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.units_out">(core.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/registry/index.html#core.common.registry.Registry.unregister">unregister() (core.common.registry.Registry class method)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.unscale">unscale() (core.models.gemnet_oc.layers.force_scaler.ForceScaler method)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.UnsupportedAdsorbateException">UnsupportedAdsorbateException</a>, <a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.UnsupportedAdsorbateException">[1]</a>, <a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.UnsupportedAdsorbateException">[2]</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.UnsupportedBulkException">UnsupportedBulkException</a>, <a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.UnsupportedBulkException">[1]</a>, <a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.UnsupportedBulkException">[2]</a>
+</li>
+      <li><a href="autoapi/core/datasets/base_dataset/index.html#core.datasets.base_dataset.UnsupportedDatasetError">UnsupportedDatasetError</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.UnsupportedModelException">UnsupportedModelException</a>, <a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.UnsupportedModelException">[1]</a>, <a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.UnsupportedModelException">[2]</a>
+</li>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.unwrap_atoms">unwrap_atoms() (in module cattsunami.core.autoframe)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.PairInteraction.up_projection">up_projection (core.models.gemnet_oc.layers.interaction_block.PairInteraction attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ac">up_projection_ac (core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ac">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#core.models.gemnet.layers.interaction_block.TripletInteraction.up_projection_ca">up_projection_ca (core.models.gemnet.layers.interaction_block.TripletInteraction attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#core.models.gemnet_gp.layers.interaction_block.TripletInteraction.up_projection_ca">(core.models.gemnet_gp.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.up_projection_ca">(core.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#core.models.gemnet_oc.layers.interaction_block.TripletInteraction.up_projection_ca">(core.models.gemnet_oc.layers.interaction_block.TripletInteraction attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#core.models.gemnet_oc.layers.force_scaler.ForceScaler.update">update() (core.models.gemnet_oc.layers.force_scaler.ForceScaler method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.update">(core.models.painn.painn.PaiNNMessage method)</a>
+</li>
+        <li><a href="autoapi/core/modules/evaluator/index.html#core.modules.evaluator.Evaluator.update">(core.modules.evaluator.Evaluator method)</a>
+</li>
+        <li><a href="autoapi/core/modules/exponential_moving_average/index.html#core.modules.exponential_moving_average.ExponentialMovingAverage.update">(core.modules.exponential_moving_average.ExponentialMovingAverage method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.update_best">update_best() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.update_best">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.update_config">update_config() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/data/oc/databases/update/index.html#data.oc.databases.update.update_dbs">update_dbs() (in module data.oc.databases.update)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#data.oc.core.multi_adsorbate_slab_config.update_distance_map">update_distance_map() (in module data.oc.core.multi_adsorbate_slab_config)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.update_graph">update_graph() (core.common.relaxation.optimizable.OptimizableBatch method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.update_graph">(core.common.relaxation.OptimizableBatch method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/utils/index.html#core.models.gemnet.utils.update_json">update_json() (in module core.models.gemnet.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#core.models.gemnet_gp.utils.update_json">(in module core.models.gemnet_gp.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.update_layers">update_layers (core.models.painn.PaiNN attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.update_layers">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/relaxation/optimizable/index.html#core.common.relaxation.optimizable.OptimizableBatch.update_mask">update_mask (core.common.relaxation.optimizable.OptimizableBatch property)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/index.html#core.common.relaxation.OptimizableBatch.update_mask">(core.common.relaxation.OptimizableBatch property)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.GatedEquivariantBlock.update_net">update_net (core.models.painn.painn.GatedEquivariantBlock attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/databases/update/index.html#data.oc.databases.update.update_pkls">update_pkls() (in module data.oc.databases.update)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.PlaneBoundTriclinicGeometry.ur_corner">ur_corner (data.oc.utils.geometry.PlaneBoundTriclinicGeometry attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlus.url">url (core.models.dimenet_plus_plus.DimeNetPlusPlus attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/base/index.html#core.models.base.HeadInterface.use_amp">use_amp (core.models.base.HeadInterface property)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_atom_edge_embedding">use_atom_edge_embedding (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_atom_edge_embedding">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_atom_edge_embedding">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/input_block/index.html#core.models.equiformer_v2.input_block.EdgeDegreeEmbedding.use_atom_edge_embedding">(core.models.equiformer_v2.input_block.EdgeDegreeEmbedding attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_atom_edge_embedding">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_attn_renorm">use_attn_renorm (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_attn_renorm">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_attn_renorm">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_attn_renorm">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.FourierSmearing.use_cosine">use_cosine (core.models.utils.basis.FourierSmearing attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.SINESmearing.use_cosine">(core.models.utils.basis.SINESmearing attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.use_denoising">use_denoising (core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead.use_denoising">(core.models.equiformer_v2.equiformer_v2_dens.DeNSScalarHead attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer.use_denoising_pos">use_denoising_pos (core.models.equiformer_v2.trainers.dens_trainer.DenoisingForcesTrainer attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_energy_lin_ref">use_energy_lin_ref (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_energy_lin_ref">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_energy_lin_ref">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_force_encoding">use_force_encoding (core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone attribute)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_gate_act">use_gate_act (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_gate_act">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_gate_act">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_gate_act">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_gate_act">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.PGConfig.use_gp">use_gp (core.common.test_utils.PGConfig attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.EdgeBlock.use_grid">use_grid (core.models.scn.scn.EdgeBlock attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.use_grid">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.use_grid">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_grid_mlp">use_grid_mlp (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_grid_mlp">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_grid_mlp">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_grid_mlp">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_m_share_rad">use_m_share_rad (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_m_share_rad">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_m_share_rad">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_m_share_rad">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone.use_noise_schedule_sigma_encoding">use_noise_schedule_sigma_encoding (core.models.equiformer_v2.equiformer_v2_dens.EqV2DeNSBackbone attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc">use_pbc (core.models.dimenet_plus_plus.DimeNetPlusPlusWrap attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_pbc">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.use_pbc">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.use_pbc">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.use_pbc">(core.models.gemnet.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.use_pbc">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.use_pbc">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.use_pbc">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.use_pbc">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.use_pbc">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.use_pbc">(core.models.schnet.SchNetWrap attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.use_pbc">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.use_pbc">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/dimenet_plus_plus/index.html#core.models.dimenet_plus_plus.DimeNetPlusPlusWrap.use_pbc_single">use_pbc_single (core.models.dimenet_plus_plus.DimeNetPlusPlusWrap attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_pbc_single">(core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_pbc_single">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_pbc_single">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/index.html#core.models.escn.eSCN.use_pbc_single">(core.models.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/escn/index.html#core.models.escn.escn.eSCN.use_pbc_single">(core.models.escn.escn.eSCN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/gemnet/index.html#core.models.gemnet.gemnet.GemNetT.use_pbc_single">(core.models.gemnet.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet/index.html#core.models.gemnet.GemNetT.use_pbc_single">(core.models.gemnet.GemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/gemnet/index.html#core.models.gemnet_gp.gemnet.GraphParallelGemNetT.use_pbc_single">(core.models.gemnet_gp.gemnet.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_gp/index.html#core.models.gemnet_gp.GraphParallelGemNetT.use_pbc_single">(core.models.gemnet_gp.GraphParallelGemNetT attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#core.models.gemnet_oc.gemnet_oc.GemNetOC.use_pbc_single">(core.models.gemnet_oc.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/index.html#core.models.gemnet_oc.GemNetOC.use_pbc_single">(core.models.gemnet_oc.GemNetOC attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/index.html#core.models.painn.PaiNN.use_pbc_single">(core.models.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNN.use_pbc_single">(core.models.painn.painn.PaiNN attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/schnet/index.html#core.models.schnet.SchNetWrap.use_pbc_single">(core.models.schnet.SchNetWrap attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/scn/index.html#core.models.scn.scn.SphericalChannelNetwork.use_pbc_single">(core.models.scn.scn.SphericalChannelNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/index.html#core.models.scn.SphericalChannelNetwork.use_pbc_single">(core.models.scn.SphericalChannelNetwork attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_s2_act_attn">use_s2_act_attn (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_s2_act_attn">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_s2_act_attn">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_s2_act_attn">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.use_sep_s2_act">use_sep_s2_act (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.use_sep_s2_act">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.use_sep_s2_act">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.FeedForwardNetwork.use_sep_s2_act">(core.models.equiformer_v2.transformer_block.FeedForwardNetwork attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.use_sep_s2_act">(core.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.use_source_target_embedding">use_source_target_embedding (core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.use_source_target_embedding">(core.models.equiformer_v2.heads.Rank2SymmetricTensorHead attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="V">V</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/data/oc/experimental/utils/index.html#data.oc.experimental.utils.v0_check">v0_check() (in module data.oc.experimental.utils)</a>
+</li>
+      <li><a href="autoapi/data/oc/core/interface_config/index.html#data.oc.core.interface_config.InterfaceConfig.vacuum_size">vacuum_size (data.oc.core.interface_config.InterfaceConfig attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/core/index.html#data.oc.core.InterfaceConfig.vacuum_size">(data.oc.core.InterfaceConfig attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.val_dataset">val_dataset (core.trainers.base_trainer.BaseTrainer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.val_dataset">(core.trainers.BaseTrainer attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/trainers/base_trainer/index.html#core.trainers.base_trainer.BaseTrainer.validate">validate() (core.trainers.base_trainer.BaseTrainer method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/trainers/index.html#core.trainers.BaseTrainer.validate">(core.trainers.BaseTrainer method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/tasks/index.html#core.tasks.ValidateTask">ValidateTask (class in core.tasks)</a>
+
+      <ul>
+        <li><a href="autoapi/core/tasks/task/index.html#core.tasks.task.ValidateTask">(class in core.tasks.task)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor._Stats.variance_in">variance_in (core.modules.scaling.scale_factor._Stats attribute)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/modules/scaling/scale_factor/index.html#core.modules.scaling.scale_factor._Stats.variance_out">variance_out (core.modules.scaling.scale_factor._Stats attribute)</a>
+</li>
+      <li><a href="autoapi/adsorbml/scripts/write_top_k_vasp/index.html#adsorbml.scripts.write_top_k_vasp.VASP_FLAGS">VASP_FLAGS (in module adsorbml.scripts.write_top_k_vasp)</a>
+
+      <ul>
+        <li><a href="autoapi/data/oc/utils/vasp_flags/index.html#data.oc.utils.vasp_flags.VASP_FLAGS">(in module data.oc.utils.vasp_flags)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.GatedEquivariantBlock.vec1_proj">vec1_proj (core.models.painn.painn.GatedEquivariantBlock attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.GatedEquivariantBlock.vec2_proj">vec2_proj (core.models.painn.painn.GatedEquivariantBlock attribute)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/geometry/index.html#data.oc.utils.geometry.Geometry.vec_and_point_to_plane">vec_and_point_to_plane() (data.oc.utils.geometry.Geometry static method)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNUpdate.vec_proj">vec_proj (core.models.painn.painn.PaiNNUpdate attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead.vector_block">vector_block (core.models.equiformer_v2.equiformer_v2_dens.DeNSVectorHead attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/gemnet_oc/utils/index.html#core.models.gemnet_oc.utils.vector_rejection">vector_rejection() (in module core.models.gemnet_oc.utils)</a>
+</li>
+      <li><a href="autoapi/core/scripts/download_data/index.html#core.scripts.download_data.verify_count">verify_count() (in module core.scripts.download_data)</a>
+</li>
+      <li><a href="autoapi/ocpapi/version/index.html#ocpapi.version.VERSION">VERSION (in module ocpapi.version)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="W">W</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.ScaledSwiGLU.w">w (core.models.equiformer_v2.activation.ScaledSwiGLU attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/activation/index.html#core.models.equiformer_v2.activation.SwiGLU.w">(core.models.equiformer_v2.activation.SwiGLU attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/utils/basis/index.html#core.models.utils.basis.Sine.w0">w0 (core.models.utils.basis.Sine attribute)</a>
+</li>
+      <li><a href="autoapi/ocpapi/index.html#ocpapi.wait_for_adsorbate_slab_relaxations">wait_for_adsorbate_slab_relaxations() (in module ocpapi)</a>
+
+      <ul>
+        <li><a href="autoapi/ocpapi/workflows/index.html#ocpapi.workflows.wait_for_adsorbate_slab_relaxations">(in module ocpapi.workflows)</a>
+</li>
+        <li><a href="autoapi/ocpapi/workflows/adsorbates/index.html#ocpapi.workflows.adsorbates.wait_for_adsorbate_slab_relaxations">(in module ocpapi.workflows.adsorbates)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBLogger">WandBLogger (class in core.common.logger)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger">WandBSingletonLogger (class in core.common.logger)</a>
+</li>
+      <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.warmup_epochs">warmup_epochs (core.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.warmup_epochs">(core.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/common/utils/index.html#core.common.utils.warmup_lr_lambda">warmup_lr_lambda() (in module core.common.utils)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.Logger.watch">watch() (core.common.logger.Logger method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.TensorboardLogger.watch">(core.common.logger.TensorboardLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBLogger.watch">(core.common.logger.WandBLogger method)</a>
+</li>
+        <li><a href="autoapi/core/common/logger/index.html#core.common.logger.WandBSingletonLogger.watch">(core.common.logger.WandBSingletonLogger method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.weight">weight (core.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/so3/index.html#core.models.equiformer_v2.so3.SO3_LinearV2.weight">(core.models.equiformer_v2.so3.SO3_LinearV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#core.models.gemnet_oc.layers.efficient.BasisEmbedding.weight">(core.models.gemnet_oc.layers.efficient.BasisEmbedding attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone.weight_init">weight_init (core.models.equiformer_v2.equiformer_v2.EquiformerV2Backbone attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2.weight_init">(core.models.equiformer_v2.equiformer_v2_deprecated.EquiformerV2 attribute)</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/index.html#core.models.equiformer_v2.EquiformerV2.weight_init">(core.models.equiformer_v2.EquiformerV2 attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation.wigner">wigner (core.models.escn.so3.SO3_Rotation attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation.wigner_D">wigner_D() (core.models.escn.so3.SO3_Rotation method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/wigner/index.html#core.models.equiformer_v2.wigner.wigner_D">(in module core.models.equiformer_v2.wigner)</a>
+</li>
+        <li><a href="autoapi/core/models/escn/so3_exportable/index.html#core.models.escn.so3_exportable.wigner_D">(in module core.models.escn.so3_exportable)</a>
+</li>
+        <li><a href="autoapi/core/models/scn/spherical_harmonics/index.html#core.models.scn.spherical_harmonics.wigner_D">(in module core.models.scn.spherical_harmonics)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/escn/so3/index.html#core.models.escn.so3.SO3_Rotation.wigner_inv">wigner_inv (core.models.escn.so3.SO3_Rotation attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/test_utils/index.html#core.common.test_utils.PGConfig.world_size">world_size (core.common.test_utils.PGConfig attribute)</a>
+</li>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.write">write() (core.common.relaxation.optimizers.LBFGS method)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.write">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS method)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/scripts/preprocess_ef/index.html#core.scripts.preprocess_ef.write_images_to_lmdb">write_images_to_lmdb() (in module core.scripts.preprocess_ef)</a>
+
+      <ul>
+        <li><a href="autoapi/core/scripts/preprocess_relaxed/index.html#core.scripts.preprocess_relaxed.write_images_to_lmdb">(in module core.scripts.preprocess_relaxed)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/scripts/make_challenge_submission_file/index.html#core.scripts.make_challenge_submission_file.write_is2re_relaxations">write_is2re_relaxations() (in module core.scripts.make_challenge_submission_file)</a>
+
+      <ul>
+        <li><a href="autoapi/core/scripts/make_submission_file/index.html#core.scripts.make_submission_file.write_is2re_relaxations">(in module core.scripts.make_submission_file)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/gemnet/utils/index.html#core.models.gemnet.utils.write_json">write_json() (in module core.models.gemnet.utils)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/gemnet_gp/utils/index.html#core.models.gemnet_gp.utils.write_json">(in module core.models.gemnet_gp.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/om/omdata/orca/calc/index.html#data.om.omdata.orca.calc.write_orca_inputs">write_orca_inputs() (in module data.om.omdata.orca.calc)</a>
+</li>
+      <li><a href="autoapi/data/om/biomolecules/geom/sample_geom_drugs/index.html#data.om.biomolecules.geom.sample_geom_drugs.write_pickle">write_pickle() (in module data.om.biomolecules.geom.sample_geom_drugs)</a>
+</li>
+      <li><a href="autoapi/core/scripts/make_challenge_submission_file/index.html#core.scripts.make_challenge_submission_file.write_predictions">write_predictions() (in module core.scripts.make_challenge_submission_file)</a>
+
+      <ul>
+        <li><a href="autoapi/core/scripts/make_submission_file/index.html#core.scripts.make_submission_file.write_predictions">(in module core.scripts.make_submission_file)</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/data/oc/structure_generator/index.html#data.oc.structure_generator.write_surface">write_surface() (in module data.oc.structure_generator)</a>
+</li>
+      <li><a href="autoapi/data/oc/utils/vasp/index.html#data.oc.utils.vasp.write_vasp_input_files">write_vasp_input_files() (in module data.oc.utils.vasp)</a>
+</li>
+      <li><a href="autoapi/core/common/logger/index.html#core.common.logger.TensorboardLogger.writer">writer (core.common.logger.TensorboardLogger attribute)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="X">X</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/components/runner/index.html#core.components.runner.MockRunner.x">x (core.components.runner.MockRunner attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.x_layernorm">x_layernorm (core.models.painn.painn.PaiNNMessage attribute)</a>
+</li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNMessage.x_proj">x_proj (core.models.painn.painn.PaiNNMessage attribute)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head.xedge_layer_norm">xedge_layer_norm (core.models.equiformer_v2.equiformer_v2_dens.DeNSRank2Head attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead.xedge_layer_norm">(core.models.equiformer_v2.heads.rank2.Rank2SymmetricTensorHead attribute)</a>, <a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#id1">[1]</a>
+</li>
+        <li><a href="autoapi/core/models/equiformer_v2/heads/index.html#core.models.equiformer_v2.heads.Rank2SymmetricTensorHead.xedge_layer_norm">(core.models.equiformer_v2.heads.Rank2SymmetricTensorHead attribute)</a>, <a href="autoapi/core/models/equiformer_v2/heads/index.html#id1">[1]</a>
+</li>
+      </ul></li>
+      <li><a href="autoapi/core/models/painn/painn/index.html#core.models.painn.painn.PaiNNUpdate.xvec_proj">xvec_proj (core.models.painn.painn.PaiNNUpdate attribute)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="Y">Y</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/core/common/relaxation/optimizers/index.html#core.common.relaxation.optimizers.LBFGS.y">y (core.common.relaxation.optimizers.LBFGS attribute)</a>
+
+      <ul>
+        <li><a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#core.common.relaxation.optimizers.lbfgs_torch.LBFGS.y">(core.common.relaxation.optimizers.lbfgs_torch.LBFGS attribute)</a>
+</li>
+        <li><a href="autoapi/core/components/runner/index.html#core.components.runner.MockRunner.y">(core.components.runner.MockRunner attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="Z">Z</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/cattsunami/core/autoframe/index.html#cattsunami.core.autoframe.AutoFrameDesorption.z_desorption">z_desorption (cattsunami.core.autoframe.AutoFrameDesorption attribute)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+
+
+                </article>
+              
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diff --git a/index.html b/index.html
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+    <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
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+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
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+</form>
+  </dialog>
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+  <div class="pst-async-banner-revealer d-none">
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+            <li class="toctree-l1 current active">
+                <a class="reference internal" href="#">
+                    FAIR-Chem overview
+                </a>
+            </li>
+        </ul>
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Quickstart &amp; Installation</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="core/install.html">Installation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/quickstart.html">Using pre-trained models in ASE</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/gotchas.html">Common gotchas with fairchem</a></li>
+
+
+
+
+
+
+
+
+
+<li class="toctree-l1"><a class="reference internal" href="core/license.html">License</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Learn More</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="core/intro_series.html">Why model atoms for climate?</a></li>
+<li class="toctree-l1"><a class="reference internal" href="videos/technical_talks.html">Technical presentations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/papers_using_models.html">Studies leveraging pre-trained or fine-tuned FAIR-Chem models</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">OCP API &amp; Demo</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference external" href="https://open-catalyst.metademolab.com/">OCP Demo (no install required!)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/ocpapi.html">ocpapi</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Released Datasets &amp; Models</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="core/datasets/oc20.html">Open Catalyst 2020 (OC20)</a></li>
+
+<li class="toctree-l1"><a class="reference internal" href="core/datasets/oc22.html">Open Catalyst 2022 (OC22)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/datasets/odac.html">Open Direct Air Capture 2023 (ODAC23)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/datasets/oc20dense.html">Open Catalyst 2020 Dense (OC20Dense)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/datasets/oc20neb.html">Open Catalyst 2020 Nudged Elastic Band (OC20NEB)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/datasets/omat24.html">Open Materials 2024 (OMat24)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/datasets/ocx24.html">Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/model_checkpoints.html">Pretrained FAIRChem models</a></li>
+
+
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Making your own datasets</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="core/ase_dataset_creation.html">Making and using ASE datasets</a></li>
+<li class="toctree-l1"><a class="reference internal" href="core/lmdb_dataset_creation.html">Making LMDB Datasets (original format, deprecated for ASE LMDBs)</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Model development, training, inference, finetuning</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="core/model_training.html">Training and evaluating custom models on OCP datasets</a></li>
+
+
+<li class="toctree-l1"><a class="reference internal" href="core/inference.html">Fast batched inference</a></li>
+
+
+<li class="toctree-l1"><a class="reference internal" href="core/fine-tuning/fine-tuning-oxides.html">Fine tuning a model</a></li>
+
+<li class="toctree-l1"><a class="reference internal" href="core/model_faq.html">Model FAQ</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Catalysis Case Studies &amp; Tutorials</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="tutorials/intro.html">Intro and background on OCP and DFT</a></li>
+
+
+
+
+
+<li class="toctree-l1"><a class="reference internal" href="tutorials/OCP-introduction.html">Simple simulations using the OCP ASE calculator</a></li>
+
+
+
+
+<li class="toctree-l1"><a class="reference internal" href="tutorials/adsorbml_walkthrough.html">AdsorbML tutorial</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/cattsunami_tutorial.html">CatTSunami Tutorial</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/fairchem_models_for_nebs.html">Tutorial for using Fair Chemistry models to relax NEBs</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="tutorials/NRR/NRR_toc.html">Screening catalysts with OCP</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="tutorials/NRR/NRR_example.html">Using OCP to enumerate adsorbates on alloy catalyst surfaces</a></li>
+
+
+
+
+
+
+</ul>
+</details></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="tutorials/advanced/advanced_toc.html">Advanced OCP usage</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="tutorials/advanced/fine-tuning-in-python.html">Fine-tuning with Python</a></li>
+
+
+
+<li class="toctree-l2"><a class="reference internal" href="tutorials/advanced/embeddings.html">Working with embeddings</a></li>
+
+
+
+</ul>
+</details></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="legacy_tutorials/legacy_tutorials.html">Legacy [deprecated] Tutorials</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="legacy_tutorials/OCP_Tutorial.html">Open Catalyst Project Tutorial Notebook</a></li>
+
+
+
+
+
+
+
+
+
+
+
+
+
+<li class="toctree-l2"><a class="reference internal" href="legacy_tutorials/data_preprocessing.html">OCP Data Preprocessing Tutorial</a></li>
+
+
+
+<li class="toctree-l2"><a class="reference internal" href="legacy_tutorials/data_visualization.html">OCP Data Visualization</a></li>
+
+</ul>
+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">fairchem documentation</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1 has-children"><a class="reference internal" href="autoapi/index.html">API Reference</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="autoapi/core/index.html">core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3"><a class="reference internal" href="autoapi/core/_cli/index.html">core._cli</a></li>
+<li class="toctree-l3"><a class="reference internal" href="autoapi/core/_cli_hydra/index.html">core._cli_hydra</a></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="autoapi/core/common/index.html">core.common</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="autoapi/core/common/data_parallel/index.html">core.common.data_parallel</a></li>
+<li class="toctree-l4"><a class="reference internal" href="autoapi/core/common/distutils/index.html">core.common.distutils</a></li>
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+</ul>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
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+    <h1>FAIR-Chem overview</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">FAIR-Chem overview</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#datasets-in-fairchem">Datasets in <code class="docutils literal notranslate"><span class="pre">fairchem</span></code>:</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#projects-and-models-built-on-fairchem">Projects and models built on <code class="docutils literal notranslate"><span class="pre">fairchem</span></code>:</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#discussion">Discussion</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#acknowledgements">Acknowledgements</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#license">License</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-fairchem">Citing <code class="docutils literal notranslate"><span class="pre">fairchem</span></code></a><ul class="visible nav section-nav flex-column">
+</ul>
+</li>
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+                
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+                <article class="bd-article">
+                  
+  <h2 align="center"> <code>fairchem</code> by FAIR Chemistry </h2>
+<p align="center">
+  <img width="559" height="200" src="https://github.com/FAIR-Chem/fairchem/assets/45150244/5872c21c-8f39-41af-b703-af9817f0affe"?
+</p>
+<h4 align="center">
+<p><img alt="tests" src="https://github.com/FAIR-Chem/fairchem/actions/workflows/test.yml/badge.svg?branch=main" />
+<img alt="documentation" src="https://github.com/FAIR-Chem/fairchem/actions/workflows/deploy_docs.yml/badge.svg?branch=main" />
+<img alt="Static Badge" src="https://img.shields.io/badge/python-3.9%2B-blue" /></p>
+<p><a class="reference external" href="https://github.com/codespaces/new/FAIR-Chem/fairchem?quickstart=1"><img alt="Open in GitHub Codespaces" src="https://github.com/codespaces/badge.svg" /></a></p>
+</h4>
+<section id="fair-chem-overview">
+<h1>FAIR-Chem overview<a class="headerlink" href="#fair-chem-overview" title="Link to this heading">#</a></h1>
+<p><code class="docutils literal notranslate"><span class="pre">fairchem</span></code> is the <a class="reference external" href="https://ai.meta.com/research/">FAIR</a> Chemistry’s centralized repository of all its data, models, demos, and application efforts
+for materials science and quantum chemistry. Collaborative projects that contribute or use the models and approaches in
+this repo:</p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://opencatalystproject.org/">Open Catalyst Project (OCP)</a></p></li>
+<li><p><a class="reference external" href="https://open-dac.github.io/">Open Direct Air Capture (OpenDAC)</a></p></li>
+</ul>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>We re-organized and rebranded the repository in 2024 (previously the <code class="docutils literal notranslate"><span class="pre">fairchem</span></code> repo) to reflect the increasingly
+general usability of these models beyond catalysis, including things like direct air capture.</p>
+</div>
+</section>
+<section id="datasets-in-fairchem">
+<h1>Datasets in <code class="docutils literal notranslate"><span class="pre">fairchem</span></code>:<a class="headerlink" href="#datasets-in-fairchem" title="Link to this heading">#</a></h1>
+<p><code class="docutils literal notranslate"><span class="pre">fairchem</span></code> provides training and evaluation code for tasks and models that take arbitrary
+chemical structures as input to predict energies / forces / positions / stresses,
+and can be used as a base scaffold for research projects. For an overview of
+tasks, data, and metrics, please read the documentations and respective papers:</p>
+<ul class="simple">
+<li><p><a class="reference internal" href="core/datasets/oc20.html"><span class="doc std std-doc">OC20</span></a></p></li>
+<li><p><a class="reference internal" href="core/datasets/oc22.html"><span class="doc std std-doc">OC22</span></a></p></li>
+<li><p><a class="reference internal" href="core/datasets/odac.html"><span class="doc std std-doc">ODAC23</span></a></p></li>
+<li><p><a class="reference internal" href="core/datasets/oc20dense.html"><span class="doc std std-doc">OC20Dense</span></a></p></li>
+<li><p><a class="reference internal" href="core/datasets/oc20neb.html"><span class="doc std std-doc">OC20NEB</span></a></p></li>
+<li><p><a class="reference internal" href="core/datasets/omat24.html"><span class="doc std std-doc">OMat24</span></a></p></li>
+</ul>
+</section>
+<section id="projects-and-models-built-on-fairchem">
+<h1>Projects and models built on <code class="docutils literal notranslate"><span class="pre">fairchem</span></code>:<a class="headerlink" href="#projects-and-models-built-on-fairchem" title="Link to this heading">#</a></h1>
+<ul class="simple">
+<li><p>SchNet [<a class="reference external" href="https://arxiv.org/abs/1706.08566"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/schnet.py"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>DimeNet++ [<a class="reference external" href="https://arxiv.org/abs/2011.14115"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/dimenet_plus_plus.py"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>GemNet-dT [<a class="reference external" href="https://arxiv.org/abs/2106.08903"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/gemnet"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>PaiNN [<a class="reference external" href="https://arxiv.org/abs/2102.03150"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/painn"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>Graph Parallelism [<a class="reference external" href="https://arxiv.org/abs/2203.09697"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/gemnet_gp"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>GemNet-OC [<a class="reference external" href="https://arxiv.org/abs/2204.02782"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/gemnet_oc"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>SCN [<a class="reference external" href="https://arxiv.org/abs/2206.14331"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/scn"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>AdsorbML [<a class="reference external" href="https://arxiv.org/abs/2211.16486"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/main/src/fairchem/applications/AdsorbML"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>eSCN [<a class="reference external" href="https://arxiv.org/abs/2302.03655"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/escn"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>EquiformerV2 [<a class="reference external" href="https://arxiv.org/abs/2306.12059"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/src/fairchem/core/models/equiformer_v2"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+</ul>
+<p>Older model implementations that are no longer supported:</p>
+<ul class="simple">
+<li><p>CGCNN [<a class="reference external" href="https://arxiv.org/abs/1710.10324"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/e7a8745eb307e8a681a1aa9d30c36e8c41e9457e/ocpmodels/models/cgcnn.py"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>DimeNet [<a class="reference external" href="https://arxiv.org/abs/2003.03123"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/e7a8745eb307e8a681a1aa9d30c36e8c41e9457e/ocpmodels/models/dimenet.py"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>SpinConv [<a class="reference external" href="https://arxiv.org/abs/2106.09575"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/e7a8745eb307e8a681a1aa9d30c36e8c41e9457e/ocpmodels/models/spinconv.py"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+<li><p>ForceNet [<a class="reference external" href="https://arxiv.org/abs/2103.01436"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>] [<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/e7a8745eb307e8a681a1aa9d30c36e8c41e9457e/ocpmodels/models/forcenet.py"><code class="docutils literal notranslate"><span class="pre">code</span></code></a>]</p></li>
+</ul>
+</section>
+<section id="discussion">
+<h1>Discussion<a class="headerlink" href="#discussion" title="Link to this heading">#</a></h1>
+<p>For all non-codebase related questions and to keep up-to-date with the latest OCP
+announcements, please join the <a class="reference external" href="https://discuss.opencatalystproject.org/">discussion board</a>.</p>
+<p>All code-related questions and issues should be posted directly on our
+<a class="reference external" href="https://github.com/FAIR-Chem/fairchem/issues">issues page</a>.</p>
+</section>
+<section id="acknowledgements">
+<h1>Acknowledgements<a class="headerlink" href="#acknowledgements" title="Link to this heading">#</a></h1>
+<ul class="simple">
+<li><p>This codebase was initially forked from <a class="reference external" href="https://github.com/txie-93/cgcnn">CGCNN</a>
+by <a class="reference external" href="http://txie.me">Tian Xie</a>, but has undergone significant changes since.</p></li>
+<li><p>A lot of engineering ideas have been borrowed from <a class="reference external" href="https://github.com/facebookresearch/mmf">github.com/facebookresearch/mmf</a>.</p></li>
+<li><p>The DimeNet++ implementation is based on the <a class="reference external" href="https://github.com/klicperajo/dimenet">author’s Tensorflow implementation</a> and the <a class="reference external" href="https://github.com/rusty1s/pytorch_geometric/blob/master/torch_geometric/nn/models/dimenet.py">DimeNet implementation in Pytorch Geometric</a>.</p></li>
+<li><p>It was then developed as the OCP repo, and includes many contributions from the community and collaborators.</p></li>
+<li><p>Much of the documentation was developed for various papers or as part of a comprehensive tutorial for the 2023 ACS Fall Chemistry conference.</p></li>
+</ul>
+</section>
+<section id="license">
+<h1>License<a class="headerlink" href="#license" title="Link to this heading">#</a></h1>
+<p><code class="docutils literal notranslate"><span class="pre">fairchem</span></code> is released under the <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/LICENSE.md">MIT</a> license.</p>
+</section>
+<section id="citing-fairchem">
+<h1>Citing <code class="docutils literal notranslate"><span class="pre">fairchem</span></code><a class="headerlink" href="#citing-fairchem" title="Link to this heading">#</a></h1>
+<p>If you use this codebase in your work, please consider citing:</p>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">ocp_dataset</span><span class="p">,</span>
+<span class="w">    </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Chanussot*, Lowik and Das*, Abhishek and Goyal*, Siddharth and Lavril*, Thibaut and Shuaibi*, Muhammed and Riviere, Morgane and Tran, Kevin and Heras-Domingo, Javier and Ho, Caleb and Hu, Weihua and Palizhati, Aini and Sriram, Anuroop and Wood, Brandon and Yoon, Junwoong and Parikh, Devi and Zitnick, C. Lawrence and Ulissi, Zachary}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Open Catalyst 2020 (OC20) Dataset and Community Challenges}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">journal</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{ACS Catalysis}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">year</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2021}</span><span class="p">,</span>
+<span class="w">    </span><span class="na">doi</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{10.1021/acscatal.0c04525}</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
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+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">FAIR-Chem overview</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#datasets-in-fairchem">Datasets in <code class="docutils literal notranslate"><span class="pre">fairchem</span></code>:</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#projects-and-models-built-on-fairchem">Projects and models built on <code class="docutils literal notranslate"><span class="pre">fairchem</span></code>:</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#discussion">Discussion</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="../autoapi/ocpapi/version/index.html">ocpapi.version</a></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/ocpapi/workflows/index.html">ocpapi.workflows</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/adsorbates/index.html">ocpapi.workflows.adsorbates</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/context/index.html">ocpapi.workflows.context</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/filter/index.html">ocpapi.workflows.filter</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/log/index.html">ocpapi.workflows.log</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/retry/index.html">ocpapi.workflows.retry</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../autoapi/cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../autoapi/cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../execution_time.html">Notebook execution times</a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Open Catalyst Project Tutorial Notebook</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Open Catalyst Project Tutorial Notebook</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#background">Background <a name="background"></a></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#objective">Objective <a name="objective"></a></a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#climate-impact">Climate Impact</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#target-audience">Target Audience</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#background-prerequisites">Background &amp; Prerequisites</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#background-references">Background References</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#software-requirements">Software Requirements</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#dataset-overview">Dataset Overview</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#tutorial-use"><strong>Tutorial Use</strong></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#data-download-1min">Data Download [~1min] <a name="download"></a></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#data-visualization">Data Visualization <a name="visual"></a></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#understanding-the-data">Understanding the data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#generating-sample-data">Generating sample data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#structural-relaxations">Structural relaxations</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#reading-a-trajectory">Reading a trajectory</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#viewing-a-trajectory">Viewing a trajectory</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data-contents">Data contents <a name="contents"></a></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#atomic-numbers">Atomic numbers</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#atomic-symbols">Atomic symbols</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#unit-cell">Unit cell</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#periodic-boundary-conditions-pbc">Periodic boundary conditions (PBC)</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tags">Tags</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#fixed-atoms-constraint">Fixed atoms constraint</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorption-energy">Adsorption energy</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#plot-energy-profile-of-toy-trajectory">Plot energy profile of toy trajectory</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#force">Force</a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#interacting-with-the-oc20-datasets">Interacting with the OC20 datasets</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#additional-resources">Additional Resources</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#tasks">Tasks</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-energy-and-forces-s2ef">Structure to Energy and Forces (S2EF) <a name="s2ef"></a></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#steps-for-training-an-s2ef-model">Steps for training an S2EF model</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#imports">Imports</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#dataset">Dataset</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#normalize-data">Normalize data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#define-the-config">Define the Config</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#create-the-trainer">Create the trainer</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#train-the-model">Train the model</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#validate-the-model">Validate the model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#load-the-best-checkpoint">Load the best checkpoint</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#run-on-the-test-set">Run on the test set</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-energy-is2re">Initial Structure to Relaxed Energy (IS2RE) <a name="is2re"></a></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#steps-for-training-an-is2re-model">Steps for training an IS2RE model</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Imports</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Dataset</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Normalize data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id4">Define the Config</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id5">Train the Model</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id6">Validate the Model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id7">Load the best checkpoint</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#test-the-model">Test the model</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-structure-is2rs">Initial Structure to Relaxed Structure (IS2RS) <a name="is2rs"></a></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#steps-for-making-is2rs-predictions">Steps for making IS2RS predictions</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id8">Imports</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id9">Dataset</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#download-pretrained-checkpoint">Download pretrained checkpoint</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id10">Define the Config</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id11">Create the trainer</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id12">Load the best checkpoint</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#run-relaxations">Run relaxations</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#visualize-ml-driven-relaxations">Visualize ML-driven relaxations</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#model-development">Model development <a name="model-dev"></a></a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#id13">Imports</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#atom-and-edge-embeddings">Atom and Edge Embeddings</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#message-passing">Message passing</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#training-the-model">Training the model</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#incorporating-triplets-and-training-gemnet-t">Incorporating triplets and training GemNet-T</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#optional-ocp-calculator">(Optional) OCP Calculator <a name="calc"></a></a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#id14">Download pretrained checkpoint</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#using-the-ocp-calculator">Using the OCP Calculator</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#optional-creating-your-own-lmdbs-for-use-in-the-ocp-repository">(Optional) Creating your own LMDBs for use in the OCP repository</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-energy-is2re-lmdbs">Initial Structure to Relaxed Energy (IS2RE) LMDBs</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-energy-and-forces-s2ef-lmdbs">Structure to Energy and Forces (S2EF) LMDBs</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#running-on-command-line-preferred-way-to-train-models">Running on command line [Preferred way to train models] <a name="cmd"></a></a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#limitations">Limitations <a name="limit"></a></a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#next-steps">Next Steps <a name="steps"></a></a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># MIT License</span>
+<span class="c1">#</span>
+<span class="c1">#@title Copyright (c) 2021 CCAI Community Authors { display-mode: &quot;form&quot; }</span>
+<span class="c1">#</span>
+<span class="c1"># Permission is hereby granted, free of charge, to any person obtaining a</span>
+<span class="c1"># copy of this software and associated documentation files (the &quot;Software&quot;),</span>
+<span class="c1"># to deal in the Software without restriction, including without limitation</span>
+<span class="c1"># the rights to use, copy, modify, merge, publish, distribute, sublicense,</span>
+<span class="c1"># and/or sell copies of the Software, and to permit persons to whom the</span>
+<span class="c1"># Software is furnished to do so, subject to the following conditions:</span>
+<span class="c1">#</span>
+<span class="c1"># The above copyright notice and this permission notice shall be included in</span>
+<span class="c1"># all copies or substantial portions of the Software.</span>
+<span class="c1">#</span>
+<span class="c1"># THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span>
+<span class="c1"># IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span>
+<span class="c1"># FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL</span>
+<span class="c1"># THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span>
+<span class="c1"># LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING</span>
+<span class="c1"># FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER</span>
+<span class="c1"># DEALINGS IN THE SOFTWARE.</span>
+</pre></div>
+</div>
+</div>
+</div>
+<section class="tex2jax_ignore mathjax_ignore" id="open-catalyst-project-tutorial-notebook">
+<h1>Open Catalyst Project Tutorial Notebook<a class="headerlink" href="#open-catalyst-project-tutorial-notebook" title="Link to this heading">#</a></h1>
+<p>Author(s):</p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://mshuaibii.github.io/">Muhammed Shuaibi</a>, CMU, mshuaibi&#64;andrew.cmu.edu</p></li>
+<li><p><a class="reference external" href="https://abhishekdas.com/">Abhishek Das</a>, FAIR, abhshkdz&#64;fb.com</p></li>
+<li><p><a class="reference external" href="https://adeeshkolluru.github.io/">Adeesh Kolluru</a>, CMU, akolluru&#64;andrew.cmu.edu</p></li>
+<li><p><a class="reference external" href="https://wood-b.github.io/">Brandon Wood</a>, NERSC, bwood&#64;lbl.gov</p></li>
+<li><p><a class="reference external" href="https://www.linkedin.com/in/janice-lan">Janice Lan</a>, FAIR, janlan&#64;fb.com</p></li>
+<li><p><a class="reference external" href="https://www.linkedin.com/in/anuroopsriram">Anuroop Sriram</a>, FAIR, anuroops&#64;fb.com</p></li>
+<li><p><a class="reference external" href="https://ulissigroup.cheme.cmu.edu/">Zachary Ulissi</a>, CMU, zulissi&#64;andrew.cmu.edu</p></li>
+<li><p><a class="reference external" href="http://larryzitnick.org/">Larry Zitnick</a>, FAIR, zitnick&#64;fb.com</p></li>
+</ul>
+<p>FAIR - Facebook AI Research</p>
+<p>CMU - Carnegie Mellon University</p>
+<p>NERSC - National Energy Research Scientific Computing Center</p>
+<section id="background">
+<h2>Background <a name="background"></a><a class="headerlink" href="#background" title="Link to this heading">#</a></h2>
+<p>The discovery of efficient and economic catalysts (materials) are needed to enable the widespread use of renewable energy technologies. A common approach in discovering high performance catalysts is using molecular simulations. Specifically, each simulation models the interaction of a catalyst surface with molecules that are commonly seen in electrochemical reactions. By predicting these interactions accurately, the catalyst’s impact on the overall rate of a chemical reaction may be estimated.</p>
+<p>An important quantity in screening catalysts is their adsorption energy for the molecules, referred to as `adsorbates’, involved in the reaction of interest. The adsorption energy may be found by simulating the interaction of the adsorbate molecule on the surface of the catalyst to find their resting or relaxed energy, i.e., how tightly the adsorbate binds to the catalyst’s surface (visualized below). The rate of the chemical reaction, a value of high practical importance, is then commonly approximated using simple functions of the adsorption energy. The goal of this tutorial specifically and the project overall is to encourage research and benchmark progress towards training ML models to approximate this relaxation.</p>
+<p>Specifically, during the course of a relaxation, given an initial set of atoms and their positions, the task is to iteratively estimate atomic forces and update atomic positions until a relaxed state is reached. The energy corresponding to the relaxed state is the structure’s ‘relaxed energy’.</p>
+<p>As part of the <a class="reference external" href="https://github.com/FAIR-Chem/fairchem">Open Catalyst Project</a> (OCP), we identify three key tasks ML models need to perform well on in
+order to effectively approximate DFT –</p>
+<ol class="arabic simple">
+<li><p>Given an <strong>I</strong>nitial <strong>S</strong>tructure, predict the <strong>R</strong>elaxed <strong>E</strong>nergy of the relaxed strucutre (<strong>IS2RE</strong>),</p></li>
+<li><p>Given an <strong>I</strong>nitial <strong>S</strong>tructure, predict the <strong>R</strong>elaxed <strong>S</strong>tructure (<strong>IS2RS</strong>),</p></li>
+<li><p>Given any <strong>S</strong>tructure, predict the structure <strong>E</strong>nergy and per-atom <strong>F</strong>orces (<strong>S2EF</strong>).</p></li>
+</ol>
+<p><img alt="Capture2.PNG" 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xgdH5Ph0RHpHxyQ7t4e6ejqxHVbpbahXsorKzH+hZKWmS5xSfESGBIkm7a6yubNQeLnmyZhIfkSHYV1nlCHeWuS1IwOjF23tb4HsHaHJI89f1h/z80b1J7DjvWcCVnIwHhTPqLwPYHBWeLtkyxublGybr0X1rM75NlfvCF7QUHZEhFeKtGx1RKXWC8paa2SntmJa/WqLBUWjmMdTOvYc44qKhZ1fqqrd0ltzV6s9X1SjzVaX7/fdP19L9Yt+x78f7e+d3keMdelxRNYT93QFXUSFlGEOUvHWoqWba5RqhNiY2swp11Y4yN475Ret7p6t8pDc9MRaW05IR1tp6W780np7jkvPb0XpLfvaenvvyT9A89oHxi4LIODz2ofsH4ODV2Vv/7r/5el8Zz2TW1///d/D7nPwxrNhv5PlhjVSaHQSf6yZaubPPjgWrn77jWybp2XeHkliL9/hoQE50JHFkJHlEAmyiUWOjwO6yweNis+vg6/10psdDXkrlKiIsvwnjL8XgR7lQv7loX/p+P1VAkNScT3RYqHB661xR2ytEnuuftB+ZM//pF85zs/kHvuXSsbN/qJm2uE+HinSGBgnoSGQh9CDnlNXispCTKd2ibpsDeZ0Ik5ObRZI9Bn46oTi0um0XdISenssr6jDFLnFULn5ReM6Wco52lpHWpvI3HP/gGwp54J0CMh0MVxuG6h2km+Ly9/VL+TMlgDua2r3S9NjYelpeVxaWs9ARt1Ujpggzo7TksP7FM3ek/POXTIl91pu7pOS0fHE3gvbFqH6W2wWy0tx6UZdqsJ8lkP21dTs0d1eSmegc9FO8vnTUpshL2qhN7Jgj6KwPi54if0dATsVGyc+iDp6el4f47aHdof2iPapfLycqvDRpWVmA69XlJShHErlIKCQuisXPgCmfieZIxJtAQEBIq7u7ts2LBJ7r//UfT1sn69j3h6xOEecuG/YJ5hq5ISGiUluU3HMyOzR+83D/qH915k2aky6C6j/5ZUH9HOU//V1e3XXs8OHUibzdfZOQ5VVbv0c/w8v6cA85dBXwNrITy8WPxht11dw2T9BndxcfXQ+05LS8O1C6WisgLfVydNzc0Y6w7MQw9024AMDw/L2NiYTMLW7IC9moW9moMtmodNWt0XaLNue42d77X7zAzs1/S0TExMQEcOSV9vL+a5C/PahuepxzxWYu2UwMbkYW6yIDNJEhwUJZs3eYu7ayRkIl/tfQL9vZQ22JB2Sc/oUp8sM6sPcrrSMzPZe/H/bl0PHO/U1HbIcbMkxNdiPjAe/umYnyjIl7+sha267751ctddD2PuNsrWrYGQ82TMXQ7WTClks1rXf3Jyi34fbWR+/tiyHHH9lZcvSCXGn3NWUw2bRLtFGdD5Ogi7go41y3Vr5tKeN9qsnTpnufAVU1JaVS/4+2dJcHCBxMbV6VqhbHFuOc/1dfD7IFetrcfV7+uEf0fZ6e27IAP9z8jQ4GX0K7f04eGrK33E9JGRa/IhAIXTvt72ZRBblC/KLGW3vb1dGuGD1tZWq06jfsvNzYZ/nAp/KF5l38cnQNau3QIb9hj0o5d4Qqd7e6aKz/Z0/C9dfGHP/OEnBcC2BATko+fBzuSjF0pQCHy5qHpJS+mR3KwRKSmclooSrM3yRWmAPmpuOKS6v7x8J/TLNNbvoCQld0g88Fo8dHMCbFMS/MZU4Jv0jB7IE3zL3BHoYmIp2KViY49KSum30yeEfFXMw6ddkPKqRamAb1jJDjtTgdfLgItKSqchj2OSnUufr0ZCg/LE0z0etipJwoILJTm+QbLTe6SQ/h5sXFnZvMpSHe5XcVTjIdiXY2pnaHe6YH+6O+H/dZ2RHu1n8fuTiqm0E1fRRrWdlHbYNmKwFtomyGUD5L2uZp9UVUAnl85LccGU5OeMSGZGn+p/+gHhYUUY03TY+EjMA2zHelfo6GDg4gjom2jom3iMT7JkZWVgbHKhzwswJiU6n7ados6sqqqCzqlG5+/EV/w/7VUxxrEI41mIcc2FL5yJ70vBd0dBrwUCd7rL1i0b5JGHH5J7731QHn14m7hsCQf2ph9TCL1H/wUYGPOVAvxLXzkrs1/ycoalIA+6r5D2akbHsQLzXFlJHLXL6D/Ve7bNsn8avbfaXvEz1JulpbBZRTNSVDApedlDkoFrJeDaYVh7Pp6Jsg2Y5dGHXeRu6Oe77roP+tkVc5yoY0I8SfvR2toKf6JbZWB0dPQWm0X7tLi4KDt37pSlpSXtu3bt0r57927Zs2fPLd1+jT/Z+X5+lt/B76I943fTltFG9vZ2Q+ZaIXP1Og8ce/qOyUnpmM944I5gWb8pGLKUA/+uEnMAHw1+YQJ0e0J8PZ6lETisQWKBVaLjqiU8ulSCwyB3QRni5RMv29zCZe0GH3nwUXdZvxGYyjdB8VZYeAH8inLlROjvGVzVgTVDXDUMmzEODDgJDA5Mq9iXPgVsE+dCbdIh3PNh4J2j0toMHw3+ld25pttgX1rxeyv8N2Iivp/zSXnMyOqRaNjFQL9ciQgtk5SkNsnLHQWWmpFKrIdarP/GBvh++N72VsoTZegp6euBjQKOGoSdGrQw1ADs1aD2K+hXFUPZnX/b/erVn1va7ne3r5TYIssZGRllAQRf2bptmzz08CPygx/eJw88sAVORhAcxBjZ7gGg4AsBw8IODirA+0uwQMrgoJVD4CowmdVYHDVWr9WfJLOiosuUmAqLyJOQsBwJDqVyThYv32hx8wyRLa4Bsm6jNxaIi9z74GZ5+DEP2bg5UDy2xyhZERicrWRYRGQJ7tOQaQnxjXDc4Uxh4lLTOpU8oTImWMjK6Vfiiko5F5Nq9xwosWwogMwsONoZAAb4TAocq4TkJgD7OtxjmQQH5oq3F4mACNm4yVcefsQFgGUDxsNdXAEYgsOKJTYe4CSdoGTEUiQ7IMgLUlW9pMqBSrkRC1QXJoB4a9sT0tZ+WkksQ2SdVjKLr7e0nZJmvKcB763DAq0lMMDnqYiomOicEdQQ0GTbgCa1EyCpEY4WDEVoqRo7FwjZY1DEP/zRfRC2deIf5CdhkRESGR1rkVspGKcMGLNsGJl8yc0vkDyAgfxCo2RtIqsQDnV+fj4c+zwFGAQKqXC04xMSMPaRAFAB4uHpKZu2bJGHH31M7n9wnTy6xk22bQ2HAU6RIH/MMe4pEs5ubFy9Gs1EzBHJwJTUbow5HV4SXBDwvHE8FwS8CMayhEYQYA5OIh1FEhr8qc9fbIis/IJxKIUxnUt+Ph3flZjQgvsqh7LJFk8A2c0uQbJuM+5vm7sEBIdIYkqK5BbkS2lFOcYWIKGlWdo62qWzu0s6e7qlu69Xya3hsVEltyamSG5Ny9TMDpmenZEdc7Myg26TXCSy+L9JggG8l0TW2MS4jABokMwaHAY4sAitts4OJbQam5v02mVQ9vkY64ysTKy3eAmJCBVXT3d5ZM162bQJTjvAcHBAjoLhSMhNDJz9eCjGZACGVBgVs74toIA1Tkeef3PN08kmoZWa0gHFDSMd1wC5LMV8ZQLgJ4rLtghZs8YD69hFQb+7W7T4+aZDhoskAoA+mgo9CcYSSjgts1Mys3sxxiTORnXcC7EG1bHBfKjRrFgxmgQMXK/V+N0msSgP9hzq3OKzxYVTkovvTAVIiIYRCQnNhzFIlc1bI2AYgsQLz08SgE4G31cM2SrD9XgdAkkCkaZGODktBOJn4MSQKD53C8Fl9z4oaPbevkvS12d+/7f/1iG2vuntP//n/wwgC30UnwibEwWQGYJ146dO1cMPAwTDZt3zo4chTyTbo8QHa98Xa8w/IEMCAYhDQ/Ngs+gglkhEeAlkhL0YDm0+/s7D+suBg5sLu0I9SKK/Euu7Do5DPfR7LdZzOfRWvpJqtJmBgYHi6uoGHbgesrVe1sER3rw1QNxwbW+fFDhN2ZCxQr1GdDQ3ZrgB1IDvb1ZQrwQXdHp29oCxWXl0fAgmxqwO24XX7I2YTMg5N3NSAOa5kRRFoig4H2OQLC6u0bJ+fQDsdTic8Qy1vSS4+d38LmOnSM4AOMCZpaOvBFfzCnAgudXVeUY3Y9rwu7FbhtAiAcb3EbgrYADgaATwqIPNqrbIADrEvA5JON43SYwU6C8+N8mIQIyHl1c85oe2dZO4uvlIYEAY/rdCbqWlp0O3ZStRlQdbRHtEost08zdfNz0PdjgXOhAAEfYtKREgITpBQkMilezcCjuwdu0mueeeh+VHP3pUHnxwq7hsDdNNhJDgPL0nJTnhyNpzkqZz0qfjzXHn2JFc5HNRn5VBr6m9V5LLgAZ2EiFG95luwAGAgWW/SIJQd3PuYjE3gQFmLLZs9pdHH90ia9dtEn//AICWZH0mEko1NTUY33qMdcsyudXf368kFIECnXiCBZJTBAt07G3gYHebvJqamtL38jN2H4fNGxkZMeAbAISElgHftbj/cgUpWVlZsN3c2ILNCg6HL+gna+DMu7pGKslEOxMdzXXdqGOYkkqSED4ZbBbHcrmn0Qdohz1rxbpsVuI1EWs4Lq4KwKIYPmU2fK84+F5BsmGDlzzyyBbM2yPy/T+5R37w/fthv9xgtyIB8mAnldwqgS9Yhc+TMG7Wa1KWuCmTj7HmmHPs7XnTtU+bRSChdotkl+l8jfNn5g2gt4SAfFLXMDflkhIb1Af18UmFPkmHnoBsYV1nY33wGhWYa35PI3y45uYjKiMqT5Ajbmb2wj719V/EOF/C/D2Nn7RJZkOGv9udQIKE14cf/JWl8Zz2dbUvg9iibFFuKb+UK8ozCY4C6DFuGKenpylZEhUVCd0YJC4uHnL//Wugqx6BLvcWN9cY8XBNEE+3JPHcngRAnQSfKRH+bqbioZTUJvhWw1jPcwC4e6W785QMwf8ZG74qk+PXZcfkDZmZfkXmdrwmC7Ovyxzuf8f0yzI2/hzW2dPS3X0atmCv6qYk+F3xkGGzId2quCoDejAHvhjBeCH8N/aiZV0IX7Cc+tD46SXQddxA0c0ZyE4h9CZtWTZ81bT0NomNga2CznN1iYYOjhY/7wyJiaiU1ET4e5kDUoRr0FesKDdENH0+AvbGhoOwUUcU0NP+tJG0skgu9k61TQZjtQFTtbaeVEKgCZjKgP79+L69Kt/lJLSANwrzgKcy+iU9uVMS45okNqpawuF3B8BP8PSM1k3g+x9YL+vXbVM7EhQUDD0XCh0YDT0XB5uWLBkZGTqHxEq0SdSVxE/EUSS7zKYMfxZjTIivuAED3EX8lZOnepWbGCSDSJz5+vpjvt1k4/p18sD998kPf3iP3Hv3Y7JhvZ94AHv7+cGXCC5SDEwSjn4EfX3iwUxgoWyMYV62wVWFhZwjbo7RB6cvzsAB+ufQdbd1vk5/vrxsUUpLMD7Fs7jPKf2e3Bzg5sxBJdASgCkigH/9vFLE3SVCNgBHPHj/Bvn+9++RP/nj78tjj61Vn4hjQjxJco9rnoRub2+v2ixuyNAO0SaRiLLJLXab3FrdSVzdqfP99iYNbRztG20bv9+QWsBfwF4NjXW4jwqdAxKRaWnpsBkcyzDMsSdwRyDwcyZ0ezGerUSiwsskmlxGJHkL0yOiyyU8qlSCgFd8sT62+ySKq3uMbNoaKmvW+cr9D7nLo4/5iJtHnGLxIPgVYfArOU+xsdXAVfAtUmAXddMH+BfzZAgubsLAPkF2dH6In4Cl7M1Hko5m8+WQ2hXtJLys3oS/Sf6SlKQfUlw8CezWAexYLn4+mRIcWCDxsQ1YF/2QLWKpOZUrswEDG0Vyqw02CliK5FZv93np67mofTWWUjylPy9hXPFzuV+EP3JRLl/+xNJ2v7t9pcTWT3/6mcTGZWAyEuCMh8iGTa7yo3selO8DJDz4kCuc0GAA4ygo3Wjx9ABQ8MmAY5glAf65EhSYD6EvgKNRKGEhxRrJFRZaan6GF0l4BHf08qEwCzGxJXASyiQ9qxS/F0hCMhRbAgBCbJKERsaLb2CYuG33k80u3rJxC8CKS4i4e0RBmSdjIWbCEczDtQrhtJZKZEQVHNhaLJw6iYuHg6TKuF0XT1oGFXK3KuUMTKr+zOiDEQEoUDIL4B+KOzGpFc/dKFEx1RKKhRgYlKdOC3dJXFzDZcNGX3lkjavce98Guff+rRiXEPEGYAjHoo9PaFVihSRLQcGkOr7lUPDq8MJJItjnLq5hX49IY9MxaQKAYG+kwiXTitfZ6+sPSW3dQanBYq7Ewisr507hnCqXnNwRJS9430nJ7VBmzcrYh4eW6bj7wEHfhntds84Tc/ao/OCuu3GfG8TH30eCQkIw/pEY/xg8Z7wkwGFOTknDd2VKemYW5iJbAUR2Thauk6MKico2MzMDz5aOcQKAxGdi4hIkIipWAuHUevmQ2PKBULvIQ4+ulXvuWysPPICx2QAw5xILxzRN/ANzJTgUcx9ZrgRXdEwt5qgR12/RZ0hJpaPbizkhMUMCchSGYVwK8idgDNELGZlGw2jIrNy8ERjXQQVomZhPjntKCsm9Zl0HjIzY7pUs21wiZd0GH3lojYs88thmOALeePZoPGuGFBQVYGwBUutqMQdNSm61d3YowcXorYGhQRkeHZbRsVEZp9M/BcAABTw1jU6iix2/K5k1MQ7HYExGRkdkaGRYyaz+wUEIfp90dAEc0JFpbZX6xgapqqmWsopyOAPFGONcOAvpEhsPgBAWJp7e2+WxdevlvvvXyuZNQeLlmSQBvpmQqTyjaAGEo+NqMHb1Zkc8uRVjR5Krw/R0jiV7G4A2wALekwBZiIdMREE5Uza94Yh7QOFuhgw//LAbnKYt8jBkegvWshdkOTAQYB9rn9eKiQfAgxJOTGnS701LI1nchzVh7dxxjrh7R6NZzAg6i+SCU29ILLNLV1q6KsoEspEPpZqfB6CbPSoZqT0SH1evhAIjtDy2x8nGTYHy2FofzF+0kgDxACpZAMTcxSu2dvHolNTCOWmAnDQ3HlPCmE6Mgu7Os9LV9aRGmnT3kOhitMkF7d1Q1nb/q7/6XyyN57Rvavvf/rf/DL2fArlnxGG0eHmHiKsbgPaazQADD8gff+9Hcs/dj8pG6G5uyLi4hGP9x0Avwb74psCOQD/B+eDaCwzKwnfgZ2CaBAenSCy+Nz0tB2uuFHq7Vbo6e2RwYFBGIefjE2NwnqALIP8kFAhWqiHbRdAr1JfczSXJRWCyebOnbN1GZzRSr+vvl26RavlKqpG8JdFDMiUxsUlSlbimTJMM6ITMMeKlB/oRNgy/p6V34n/twkgvQ2g1wrFlBHQVwD3sAPQtSXHa502bQmXTRugW9ySVJdpGkgoE+4xAItFC8K7AvoY2yjhP3IRpa2OkiQENbdpJZK10ElkE7YxGJiHGKBc6SpRPewOGACkb16L9TU1t1Z1PEmzcCff3T4OOi5etW/yhizbLAw+uFzc3L/gRQbjXUOiECIxjLMbEkFt0+mmHuLmSSbtk2aaMjHR9nU6q3ZOS0nGtdImOSobznwTHLkbc3UIwFz5YGy5yzz2PyV0Ai/fcs1bWrSPpCWCFdRAMJ5TEDB1QE8HHnfAW2Bfqvw6dA42WzRuGLSJZYqK0CeL4zLd3Ar4SAju8h4SYTUrShivJR1IrpgproQBrI0lcXQEQNnjBhj4m9977sGzZ7IKxigRYScXn8/CdpQoQuPtNcGyDhH7YmkHYHDry7CSobu8EEOz6t/U+uxNk8PN9sH3dsIEktJqbm+GD1GJ9VOD+S5RcS0/PUODFTa3g4ED4Rj4AMJvVjri5RQIIwoEOKZDIqHLY2ipjq+CjJNLWo5PASsIza8da54ZkHPQ/I+9JSnFnOzKyUEJCMyGbAPCe4VjHAZgjd6yR9XL3jxgReZdGRN71w4ch1/7ijrkjWR0SnK92JAoAgjaFGQKUpXT4SlkYbxPBz8g7E8XFtc85UkCOXg7AR9tlb6CZPmORkAaQp0P2KG+MlCBZ7OoWjeeOhd7IN7KFOeUcc84ZGUaQQcKYAITAmgRwB8niLhO9pRFcvdyIMZsxuiGz3Pk/8/O99/7c0nhO+7ral0FsUVYpu1VVJkqL0Tp5eTnQKxlKjsTHxyph4u/vh3XlIWseXS8/+MG9cjd8+Q0bvWTb1jBxdYkCDoqDr58EvzpdomLz4bs34vtGoIf3SH/vEzI+ckkmx56TmalXZH7mDVmYf0d2Lr4vu3Z9KHt2/1j27flU9u1F3/OJ7N79kexcek8WF96W+bk3ZHrqhvT1ntNoDm5kpqZ2qvwygyU5pQO6mBuqzAgYwf/HcP9j8ANNhLHdGdXFaEnKDTMKciA7ugkP20OsFQvfMhS2j/7o5k3AVuuDxd01DuAbchRVI2nABTnw7+lfFheTNDObp7RTZlPzAPy+I9ICHMVOUM6oFUYLa8ffLU3HYceOS2PDUWkEpiKhRRxG35EyTl8yn5viDGwABkkCfoiPrlEyIxTyzKCN7Z5x8BsCoY83YQ4egR4CjvDYDn0DPBUUADwVCp0VCfwXB587CWOVqnOZCRtF/MSek5OjPReYinOdn5+rP/laZibJzCx8Lgs2KwN6MFUiwhNhA6Og+4JgGz1l3VpGGD8s3//B3fKD7z8gDz64DfcEm749SfwDsmE7SG6VW6R+rW4QcAMrDXOVkWaIEw0cUH8dPrhG25nggdJSbrbQXrNbhCReLyqaUdKSPj5Jl8ws6L6MXtwnI63bVL9GYJwC/LJ0U3wz/Ks1j2yDr/WIfO97P5Bvf/s7ct9992KMAtVuk+jjxggjjmlX6C/1wWbZGzL2ZgwJLhJTJKhujyy2O/9n9ztt1NC+kcwy9qwP9qwbehf4q74Oc1+OZy/EXHDjKxXyloDxi4Qe95UHHtqskVbbvZN1XIMDciUkIF9CAguwHtCDC3TzPRg9AH6Cb0AOZDATazgdfmcaMGc6ehpkM1W8vLJgtxncQ7tWB3+iAT5aI3B3A9Z+vcRijhjkQfI4BfJlIiKZgUP7tLLmy2FDuF5106zKbJjRT1vdTbYMfzKggBF2i5jHGXzXsCSlNktYeLFs3w5f1ycTfjIDBTqU8CzC/BKn8TtJmjUxcguyxECBznaTBdPTBfzEYAFiJtgquyueWoWlSIQxUrILn7l06SNL2/3u9pUSW7/5zb+Dg8soGS7qTomJLRVX9wiAbi9ZtyEAkx8smzaHyeYtEZoi6OYBBwRC5uOdioWeqYs90C8bPWe5BwVkQZFlYmIh0LnlUlHZLE3N3dLZjYXX2yftXZ3S2FIvFTWlUsQdjKIiyczO0ciiyOgELLRYLJgIODlhcGTidKJIqPn74rv987HwAPxDyyBsJlosKsoIOdM92MlmUzHTueJPBQMQThJhjCaLhjKNjKizeg2MSyUWfDmct2IlSvz9s8XHLxXPGStbtoXK2vVwtjYEyTbXGPwvF4qlCgqlFUAdDlQWnF4oe+5SlMKxLYfCqCxflJpKpmwxJYuKeSVlq245ZWGvLlQu4KrK3VDkS6psSJTl5Y5BAffDwW3H/TfpvfMZucMcHgpHMCgXCzcFYxMh6+EY33v/OvkeHMC7fnQ3nHmSOp64zwAAhhAFDGTSCRri4+PxfUlQqkkadZCSmiLJacnoqZKUkgLBS5aEpGSJS0iRmPhUiYpLk/DoDAmNyJTAkFTxCUgUL7848fSKkC0u/hpp9+haT3n0MW/ZQALULUYVhR8cXjLXIQA0TAGKBJhj6gB3VxMxFyRiGF2UBsWZkQ5lTAIlk71fn5vGhz+5c05wwZRDAjt+LjGhCeCgFoqkFOsMygagzg3X3bw5WNY8tl2d7ns1LWgbHO8AzH081mAWxpa7CEzvqIXT2Sgtrc0ACq3S2dkOB7NbBga5Ez4oIyNDMjI6LGPjVMDjMgFQS2A7jr9Hx4b1/0PDg1Ck/apIe3qYvsHd7g7ML3e76zGvZsebuzRUqukZaZKQmIg5jMYaC4Ui9MH9bVIwc98962QbiSa3ePHzokwx3QEgGAoqQlOjGCZbo2Nnp/uyJyTWYz6tjvWRgLUdizUSGVZs1ocvlO/2eHHdBkdirY88/KCL3Hv3Bu1rH9kublsjxRcKWncYImAso0olOqYSDrtJ9zXABAAPc5QJI8c5YSQVQ1sLYQCL6IQwYpFAD53rvxhKmjt1TCXMgyOUkzUkWRmDkpk+IBkpvZIY12xINxgRRpJto2xBz5B0W7fOH/cMcIpnTgUgysHcc2etFEq/grsNcHRq4ag0Qik3azgtHBymfbSdgGK2dvC6qKDZz0LpnpXOjjPL/a/+6v9haTynfVPb3//9f5WC3B7JzmyTpAQS/HlY44myFuv7Rz9aJ3/8x/fDKd2AteQhGzb4wokOgM2CXnINg9MaK97e8XBMuIGTACeFqYp0dJKhDzOhH8qloaEJ66ZbnaTx8QnZsYM7i4syv7AkCzt3ydKuvQALe2VxcQmO1QzWG4BLQyM+WwrHNRuywzRAOKGejOQKgX6OVBvi7ZMI4J6uhFpICAE5o1xsnUjn1Mg17ZbaLutnAnQdCYH4uCZJTmxVh1x1ZPYQ5HEITnIf3tOG76pTOxgaUgAnnOnHWbheDq5VapFbnQr0ScyQlKGDUwl5ouOv0VsNjN5iqi+jsW7tTFlkmiF3DPk+3QGH3SJBphFJBDaMRuIGTBojRklg1GraIYk8Rtf4+6bIdg/o6C1+8igc4rvhEDNt1M2NoMEP88Bd8SCMSzieJQZ2Og7PlWjZKtgp2CZ2/s7XEhOS8H/0+BQ4kOmwBznoRbgmd0q5wcbNtlzxh3/CsgIazbYhUNas2Y614q16ZzvmxRc6Usl9vJ9gIRbzwXToeDikfA6moNEGG4KLgMFEcZHA41jSKTWd0cejeH1Y36Opd1k9SlJy7Pk9nMdo6GdGyQb4Z4mHB3yLLUGa8nL//WvlrrsexM9HcF+euIcYycjMUHKrHICYkR5NjY2Yj1YltxhdRdvDdUqwwMgQAobxsVEZw0+bwBodRR8ZlWGLyBoY6Jf+fuP8d3S06/dxV50ApLKC6RolAGH5sLtZsLWpGI84nZOAAAAATw/I1RaNJrn/vo3igbVNsjiAoAD2ipHGLDVB4o5RcNyAYxQ/iVxDfJVrVDztTESk2fSMjs6XKMxddEwG3geQFxGPdRAB2+AP388d19uIaz0sPwTY//7371U7sXVLCNZSnNq3oCBGYBabuWPUcTx8CxJcVtSYppZi3lbmDPapyHSNLClmZBZTrTiHjE4moQV7lWVSfZk+y/Rlpq56eMbDxwiTrVsjoDvS1achaM/O7gconFBZICBR8EGCC7LCFF1jo05ivJ+Qzi7YpW6WpTB9eTNGf+cGDVOrzsq77/7W0nhO+7ral0FstbS2A7BWYH2ZNCgSINRj8bAT0dFRWLshSpq4urpCD5DIvU+++90fKLG1foMH9KUvQHgg/Olo2AmSIw0AskNYU7ulr/eUjA0/I9MTL8js9CsyP/u67Fx4V3YvfSi7d/1Ydu/5RPbu/6nsO/AzOXDwMzlw6Bey/+DPZT/+5ut79v5Edu/+VHYtfaxE2PTkSzLYf1HqsXazM4ew9ttwn03QtyT6mRVjb0ZTDw6qTNmd0f2Ug6wsbsZwg6ZdN2K5oR0FHRAC3eALnUfsuH4D/PQ1vvB/w8Qb/i4Jaupd6lmW06Ae5eYBsRCjXilTxFH1tSbKmNkwDBggMG+wez163WG8h+mGJLRMBK1mDEDGC/LH4Iv2G0ILz8ONIZYdCIO95OaWv1+KRs8yLXzd+u1yzz1r5K67HwAG3gAb5SbbvTxhT73x3gDoQ5JbUdA3Bk8RS3FOSXKR1LF7enoKxoI9Fb+n6v8ZURwPXMVAkpjYHOiWXKyBbOjQNC0P4uERJVtdAoA33eSBB9cBzz0KW7keetAXNixSvKlvcb8hYXnQn0XQoyz9Qt1XDd0HmwUfgcQJyUgGdWRnc2OFZCNJR5MhoxvNJCLpp0MnUi+SFFG9l92rG+ZJKS26mR4X1wgfpR4YuVqCAos0LXYrdOC6NR7ywP3r5QfQyd/+9nflj/7oj+SHP/yh4k6OCwk+2hKmZdqbMkxxt22W2qrxcSWmSFDZJJcdcXx75/9tMouRxrRtq8ksRjJ3dnYub9CYiGOm+xZgTTEyjuMeC/sSCbvBiGAG76wDpvcVd884xazkM3y90hUT+fmk4n3AYv7wD4Jo3wow79yQ5EZkl+KfqooFrLu90tJ0UDrbHgfmYPQTSzMc0zVZXbUH9mUWMj8kiUmdmPNm3APHFbgqpV3LH5FAJJHIAA6m+5aVwDfDmqV/xiCZL+oaSIBOYpI2jKRyRkavlrBh+SYPj3jY5wSs13z1ZTKxHvLyWJIC1ygz6b4kyEzU/hFNc+xoM+UoOoCVTKkkk97b1fUUfGL0Dvzdzg5c1Y73MROt5aRcvPCepe1+d/tKia1/+1f/T5kYe07GRq7K0MDT0tt9Bo7sfgzcFJznHgXXXpjorduiZdOWSNmyLQrKNkYHj6DCC527j/zpA+EMDEiG0U+XjKwCKauolqaWdhjxPhkYHJHh0XEZm2AK15SMYoEODI1Ie8cwrjcs9XXDcLBG4BgMS1lpv+RmA1QnNwIM10lcVLXWvwoPLpWQgCIJ8iuUkECGrxdptBidxbCwEgh7qXbeM0MBNZwQDkgEHJ+wsFI4/nhPGF6PrJPE+A6A7mEpLuCCmpXyEtYAghKEIsgGqDakEuuDVSs5wzomHp5J4knyAcDcJrfSU+E8ZQE04HME+yVYoMxpZR43FyEZ1dW1o5haRVBgFugCnnUei3pGo1qoXNJhGLjbnZrWgN9rsfjr8HqD5OY3wflqgtJvgiNVD+e5TOITMqDoImTDZhe5774H5aGHHoKzvEUNpZeXlxI7wcHBcDq5Ix6Oe46EUo6GsopBj9UaNdFxMLKxCXAuk9HTILz5cOqrJDOjBQqvF0JH9n8Y1+uVZDiMrMcUy/QBOKgMz/cPzBSP7QlYH1GyeWukuLjFYoySxAdAzj8wW4mT0DAoYcwL54I7+BpKC0WcEG/Ix+QkpidAKSe3mQgGCD5/504EiT2+10QpwFGOrJYIKJnQEMx/YK4E+GUoucUaMwxz3rQpRNY8ul3WAzB4uHvjuhEYzxQp4A54WQnmoAKKrxoOPRVuE5yEZqzBNghwhzAvu3+gFwCAuwsDSmINjwxCiRJADGAN9wEY9EKZ9kCZdik4aG7m7kCjVGuqEsBBcZkUFhRDoeZC2dg7c/G472isVZJajCbZBmBHh/0BeeDezbJtY6h4usSItzsAsDcAMMECAHBIaKECBq5pOtIcOwJGk+JrAANr7ERybBn+ivkIDc2Es5AChZwgfv74Tu9QcXP1kS2bARTWbpFHHt6ouy2b1/uJO6/pk2ZSphhREs55KsH3V8HZYP0hk/Kbktyu4cgZUJAkIEly5QBcM7c/H+uePQ8KOpcODx0cEpJ4Lx0J7hgkQ07ioxskkpGGkB2m+7ownHmjnzzyiJvce99mjIe7Rp2EYr0k0NHhLh6uUwilT5mifFaXL0pt1W6tGcFdOQJugoc21rPTiBPWDGIdrpMKJlhDqI3RXVDcf/mX/3dL4zntm9r+63/9bzLQf056e05jfh/HGtiLtTEJ+WqELUpRcnTtWl957DEfJTDoEG7Y4AedECDbtoVADsLE3Y1RXOHi4xOlu6UZGXnQxTXQBe0AlwOQc9iosRk4WksyP7dPFhePyNLSCdm16xT6admz54zs2/uE7Nt3AsDgIN47BT3QBfmvlmIAmOxsOqy0jaG4ZiB6MK7L2lyxcJATxNcvFQ4HUxRJBtBhIhlD3UibVa62ip0bGTExJLfaIHu9uptNMopOPdc2I6u4W11btx/O0LyCa4KLlJQOdUgZzRqqpQIq8B2NcK67YEf68T0mtY5A3AYOJvWDmy8H8P0Hpd7u+JtElgl3N7vfJsWOu7yMbIFdyOrF/VFnAwQl1EBnkCDi8xSh8/mgy4JSoIfgO2xhzcqNWptszZoNkHcPjJMX5sIHwMFPo95oq+iAchOAJJfaKatHR6NjbKOjEzVyLzqKhFYpnrkJz94nRYXjsKesMTKDZ5zSKABGX8XDfpCgCA7KU93DzTJPz3j8bghHkltBcF41DTyCY089W23sVEK9RXKZOlyaPopn1jRwJbBMz8iAvsP/NPoOvgPfr5G03KWFLksE6OBOLucjKLAQz5yBNREnW7cGYb16aD0pEn6bNm3DfQbj/YkY2yzovwKMdxnAWg1sVgPmvFkd+C448nToGRXC2lhMJ2QfZB9kH8LfQ+r49/YwMqtbwUVbG21Wi7FZNXWYzyq1Wfl5xdDbubjvTDxzKsaBtcjCAbwDYEdJFG/Suqs//MH98tCDmzF3oRrhQNvL6Dfa+sDgHNgRjCPsPSMLQgAc6WgHh+QCjBHE5WDu8gEGi/BsjAyrlcqqJmlobDV2tKEJa6xa7ScjG+LiE/HZMPgz22ErXGT9elfch5ds2xIknpAn1txiSidtJeWIdlEJLm7MaBo/67CayDvOGeWD0d+3gvIBJWX5fxJh3Mih30Gfg+uAEWlMQWTkzIYNgehBAJmxsK+5WFd1AJEGkLMmJeVCa3pppImRJ6brEuy0Mo1X5daQXO3oWg9I+ylLpk105Ntv/6ml8Zz2dbUvg9iqqW3GGivB+oNcpWZgvSRBx8dANsKhA4Kxrkiyb4MuZG3I++V73/uhfOc735d77n1U1q5zlW0uvpCpaElKzofvD8BeMyXtrQdloPcpGR++KjsmXpL5mddlce4t2bnwjuxa+hD26RMlrfYe+KnsJ6F1+Bdy8PAv5eAR/vyF/r2fJNeBX8CG/UL27vk57Nqn+PwHMrvjNRkdflY6Wk9KOdYy9Zb6gfTVGShAn5xlRRhdDF2XltEFOe2GjEHvqc6jL8/ozFa8nxkxzfBTGyQC+C00vAwyky+sVewG7Kg4YXsy9AsjZ/MVZ5FUYZkNki2MBGNqIwMFWCesunKX1FTt0c2YmmoGBaDzZxVsUyVTDVm+ZUnTDYnj6DfSP82EXmb5C9Z1jYmh78wN3BI8Uwl0RCnuvRx6oQrXrIEuKMc85Ukk7EtIWAT84XC1R4FBAdBxPvDL/aDTgqDHmD4fAf3AgIEY2Ns49fETEhKszgACq+Nvlk6Ii03BM2bivQXQS9WSndsBW0xSHD50Psn0HoxvIzBZGa6bg2sC03hFq9/COtebt4aKq3u0bPeGD+EPnz0oU4JCcvDeQvgLsLfUfboB3gBcaDI8GH2nNY61jAmJR16HnZlM1Hfw6TmHGjjATKY2/RznODUNn8mkbhyEXRjAe7olNrpWAnyztLTJY2s8NQL6O9/+oXzrW9+V73//btynC/RlKNZBijBFk+SWHXFs19uivaKdsjdkSHCtTo+/vZuIY/hko2P6fn6O6fi0adyE5EYPySw7hb66ugp6uBRjy/rQjI5LwVzHYb7CNdiDPseDD6yTH/6Q5DGJY0ZEYi3CH/ACjqVPEBiQAjnNxfxVYKzaYKdG4Qftgm4+Dpt7TkY01fcFTeudm70pC3Ovo78hc+gzTPfd8apMTr6Ee74O23xeWoBRSNSS5EpO6YJswB9IYrYN/AnMjZaLyBs1wQJY9xosUMr6xqxnh15qattpL5lW4tfUXB3XbBoGgNDPICYkHnd1jVIczEwmRvVrSQrMufp++LxubGpmGdMeYaMaWNPLioTUDU3WTz0lHSSw2mGrSGLxtRb4nM0npKWJ9b2O4XNH5Kmn3rK03e9uXymx9e//3d/L0sL7sjT/HhTkO1CUb2le9vjoNSW6WluOQKmOSHhkhbi4J8n6TRGycXM4nNRw2coorm3huiPu5hYGJzEGg5sGJVEsNVzMHW3S098nQ9xFnGAq1yz6Tpmc2oN+UKamHsd1npCRwTMyMvCUTIw8LZOjz8jU2GX8flnGBp+Wwd5z0tNxRprrj0hJwYxkpELAohoBgCslwL8IijFXd6f9/HM1moqdxBMJFTo87EHBhXDS4GyFwMmPa5W87BEoyyVpwnd2YMJ6Op+U/u5z6E9KN5yM1sYjGnFVCkDNCBXuktNJJeAPYB0uOKUs2hgFhU3gT6EnCM8n0GeoLiNaClmXyOwKMkWB0VwmVYGpWuiaqjWF948rMUbjkJLaDEVUD2PYICVlENbmHunuYcrbjIxPLcoOgK3ZuZ3oizCyczqmvf2DMKD1EBCmxMTgOVnsfzsE1RNgwhvj46s74gQNNslFxRwWFo4eBcUYC2c0AQIAhzauSrLTOzHOE1INB80UceRu/TFldumoMU0yLwcClUUCEEpSiy+2Y2xqce0SGKsMDdH09skEiMtaNResywZnl2mK4aVQHCbSLkbDN2uhlHkIAYxonDmMgIcSMN2URFYkewQj7eqVTExN6cSYA2Bg3BmCm5zAqAYYLqbnhJVIIK7r7RkrXh6hWCOMAoiDAU6HAWF6B5VtJRRVrZJbTU0EC01wOlnHxBBcJK1IcpHAYrpGL4ks/N3d3akRXm3trdLSCnDQ0ADHvAZjUg5DXIrvL4WiIbgthNEowJwWQskXYu3kwbhlYrwJphgB6S733f+o3HXXI/LQQ66ydVOouGwF+IXDvN0jUby8U9UB8PM3hUKV5AopNIAhjD8Jim1gzHWYJ4kwmGmpRVByjH4sgELOg+ORA0WaDkMLwxrHHYsIrIUggHs/2bLJVzZtANh3h0LH9ViPi4UUmZKru+8AYNFY35yf2Nh6i4QkAUnSEQYTAEDJLhjADM4D/k6j04O1wNp3jKzjbkEcPsvviQTIDg7I06gspvtu2RoOkOAvjzziAUdui9x3r6usXxciPlg7kZjDBID6dBiBHB7UABksgqyUFc9KVdmC1OqOA4ADlLKpvQXF3GxIrubmY6p0mbLI8HUqbUab/MVf/EdL4zntm9r+8R//TzgNr8n09KuwHS/L5MQLcDIuS3/fOcjyQd25Yu1BN9ckWftYkKx51E8ee8x3FcHlK1u3+ouXVxjelwznqxwOchtkeQDyPiGDg/MyOroXDslhOCYnZHbmSZmffVrm567I/Px1WVx4UXbuvA4AcVl27zove/eewd9HcS+L0A190JXcUa+EDsiHg5oM4BIsW7f5wuFj7atg2MowOFHRuD6cU99kyCJJZco4UyOz0akrqSe5E1sL/dGr9oOkEh0ORnawFs8QHKtROE1jY8/D2bumtXpYF4tgmuCaJBgdUu62R0VCb0ZXQwc06KYBATwLYhuCizvjrJXCMHhuwpi6eaz3wN9JZJm6Qwta/5AOFaOTcnOh9zXdEDohqU4dwOSkcuhYPHteNb6zWaqqO6ShoVs7x7ioqBLvJ6EXKZ4eLIzsJe7uHnDC3NRWcSOGtorRQbRhjDbWDRm1VRH4PRKvRcOGJ+C1DCXQ0vA8jA7lfdI2MbrMFO7mzuNp/ZsRNLS3dAC5q2kcwGqMdQGuBX0E38H4DPl4jZtkpegllp0i6ViO8auE/qvFczKStRHOfwv0HEkrK80umel3jG7gRkCj0ZXQk0yb51ww3YMbWKVaYmAS88rSAq2we6yTWahkJ6PIWP9w7Vo38fDwxTNG4lrJmMcsrOt8jGmprq2a2jqMaQPsFjdlWvGcHdLJ3knbZHpXl+n8nf8nmdXU1ILPNWGNNOJ7GvB9dXCOazAuFbhGGex4BdZHKe6/EPo6S1M6fXwiMUf+kBtzMAMPSvj+nzByaiteC4AskXQC2OLmpncS5i8FY5mhm4D86Yfn8vNnrTludmbguQswFzWYq1bcHzeJhmQUoGVyalqmd8zAv5mRmdkZ3ZEnCGJtu5JS3Ft2DsBAEmQjXNNINm32wnjxcIBIJYt9fFPh32RrxCI30PQAFqt2WgLnK4lpigR67fCvOnAfTLGiDQOAswjIpCRGg+MnN2FYoiKqFna2AuuCJGQmrpWAa0ZDjunzckOIRYiLcQ3IaWqbIbeKWCcIYBzyZEpS7DY+VANsVNMRQ3C1EjzYfVV0JNYqo5Bpw3hCltO+3vZlEFu1tUOwMcAHGZXQDfTT0qHbYsXXJ1y2e/phHbnBRvGAhPvku9/5vvybb31PvvPdH8gDDz0Gu+EJfRQFPZEHOW1RUqut9ZD0AViPDl+TqfEbMjf9mizOvwP89p7s2vm+7Nn9sezZ+6nsY6TWoZ/LAZJZR34th9iP/koOH+NP/v2ncujQr+XgwV/JgQO/kv17P5O9u38qS4sfAKi/LtOTL8pg/zmpLJ9Tn4/+G7EPC1PHMBqTmTGQK26YJMY3Qgao8xhdzAjXbskFDmI5EdZlLSzaAZsxoSQyyRSWzuBmATdquTnNkir+0MOM6oqKrZak1BbYqB6836RqsSQJcZgGH0CHsmaU6eZ3Ta8rmZcS+Ias16slTHIGJZup35D7hDj6r+USG1eCsSzH99bC1rXBhx+UgcEpGZ+Yh97ZJQuL+7TPze/CPM/j9UklUBhtVF5eCl3OGrC0QyFqm+yuNio8DHaCmTGR0D+mM0smKioGPxPwkzUK82AzaoCdemBLp6S2bhd0wgHMKcsAHMN1jmC97MaYAQ9mc5OEOgmYJhZ+c0iueGxPERe3eHH3BD7wAT7wy9AoOOJR4zMUAcsVA6eXSSSjwTFfTK/XCHCS/CQlU9olkZss0HUJDBjA67Rb9NdJuKQD5zKyi/qLdpP1zZqaDkEvHZbW5kNSV71TCvMGoVthP+GzsM7iQw+5yV0/Wis/uvsxefSxLeLh6Y21EgP9mmqRW8Vqt2izbHtF3c5NmdVRx+zDQ8MaicUI4yG+jm4ijQc1/V7JrK4uJbNaWtrg97dInQYV1GBOK3CtEqy7Ati0HMXDjKZjIAej6Llx5ubmLo8+wlqsD6A/Ius3+EAGWc4iHPcdBT0fjzWZCftQjfXUgzGYxj0fwH2egZ16FnbqJZmZeVMW5t+HrHwku5cgb7s/kX0kkvf9xERBMt2XfdfHSjQvzr8tsztelvGRy7jv4/C1FiAHA1iL7ZgD+AkpLWqLNH2eWCdnCD7NMPyEUTwLDwRg6i+jjRlRbKLCdUMmm6V5GCXPw8La1JfgphJru9Iur4XPu21bFPBvNnzASvVXuLHDSD3WyaPfxzre1ZX2wQLc1LSCBZqOYs5Nui87Uxab0LV8EvAUi9xzQ5WfO3P2NUvb/e72lRJb/+E//BfZuwcTs/tT2bP0Y9m980NM2ntw5klwvS4T4y9hcV2WJgDHTCgM3+A82YQBW78hSNav99daVFu2+mFAQwGemV9bCgGtl9a2Ni2iPTgyKmOTUzI2RSJmn4yMHZWR0SdkfPyiTE1AQU+9KNMAKTPTN2Wei2bubdk5/y76e6qwF/FzYfYdmZt5S6YmX8aiv6TMKQmWuPg2OE4FEPRMgPMMzX1l92b3TYPDkwanMRNCWKAOfmZ6v+5uU2A725+Qvu4LMtR/BYbiOZkAUJgcfx4GAz/HnpPRocvSDbBQX3dQFWd+PsFCvxaCo1IOpCOM72X9BQJ4RhiR4GK0Sg5ABXcLGMXyRT2XTHhaD5zzFjhX9Vik9VJc0oJx7ocg8/SIBVla2iP79h2EEToqR48eFx4r//jxk3L8xEn8PCHHHudrj8uhw4f1pAiGatKZZQFD7iYQKJDkYrdJLgo4iS5//0DcfxSUZrJERHIXtUHvuQzGqLZ6lzRjjNrgbLW1sjgji3UzXP6c/jTsrZWby/oRGCcWceT7qRQZ6sowWO4YsMZWSFiJBED5+gXkip/u7OZqeCdP+qBCZk0pVcoRjLozv4eGAlyElMF55C5LIwS4X1j4sbZmNwSNUQuPS1cno3Ie17BKMuLMEefOfQaMZ1J8jURH8hqp+K4EGAjWbsmEss2H0jIgoa62FmC0DgqyHg5lI3ozFBlrmbRBAbdrb0dvw998vbm5SRqaGrRWV1llFRREueQWFEt2Pg1mPb67A2tlCA7tJNbYPJTDbiiGffjsHnx2CQqBxTbHcI8dGPNiGKl42byNaZ2RkKlQ2eIaKtvcosTNPRaKNkEZd0ZUscChH3oAewDWc1Aqxg/zFpUGg5QPY14l1VUNGAuScjAAfQPS09sv7Z0AB1D8pWXlUIw83apYsrIL4Fyw+G4KrhGthRA9uVNBY0kyzY+h0axnh7ED6GI6ESPGuHu9UovGPjlkpfO1OPTo2FrIRw2+vwpGHR0GlsRlfGy97viwJgrTSEMw/wRAPng+d494KGNG20WL27ZE8fXKlKjwCoAMQxqTQM3LgZKHDDJ6i6mJVbZSrtqj4efcebALLlJm+TfXBUkB5qL/2Z/9raXxnPZNbf/4j/9dFhffl4WFd2WeDsPsGwDEhuQaG7sOvXkJsnZcDXdUZI24bIuXtY8FyKOPemuaMovCurgEYW2mSXZWJXRArzQ2LkCnHYWNO4vvuCSTk7BJ0y9C/76ku3Hzc6/LHHfkcL2FhXdw3Tfx96u4NoDF3DXZuXgB/zsr09P7oAP7YPgboQMrhIdvsLahn1+w7ryzoD2JNdbwcHOFI8Xd1+1x4k1g7k0SgSQAD1cpga5qBFAe0cgPOhZMWRocuCwjI8/Bbr4IB+sVXO81OFmvayfZx9d4gg0JHXP61YI6+SSfWfiV6R6UXdZ54i4tI1V4siodHTutjrt5jORiJ0A3O4OT+n+eFMh6U1rzCzYrJbkO+r0K91kHm9oCm9wn/QNM296BcWHx130a0bZ//2HYsEOyc+devL6I8Z1Sh5ZOLlN0YmNYsyhI7RPJLS+v7RgL71V2KgCdGxQRsFdJEhaaq/qGTiBtDeuEcc4Z+WJOdDwPQMIC3ej9F6W/94KOCQluvtdEoO3XSDV+Xg9nYaoKbF9qag/0Gk/AI6lRjs4Dcky3Ca6Y2CrVg3FxjOjigTnsfI0ppY0Ym061fUyD4bVaW09Y0TmwlZp69pSScCQMuUvLiDdGOsQDgIUCwLCAOonXwAAApHBTc4wpTAQJHC8SPRWwXYwQZGF5bq6w22QXbRjtlNnFbsJ7mqSmtgGOfz3mtQHz2ow5bUHvRO+BTR3CvQLMVPDkzFmpquQmHAsH9+NZmgHaioQnST7yiLv88Icswr9OUzo3bvCTjRsDhCf6MvrWzY01WGPFa3u8rmkv7zjMY5zaqcTEbDjkZRjzeulg7bpBpk5OYs2ydgqLBO9F3ye7dmHN7Nmv6b47d+6CXE/DjvVJbX0DbFgpAEEmxj8eoC4I12MKFw82CsN1YzRyzJxamAf7UiQ89ZIOPQF5DOYpgTbLslWa+gvAFx/Hel/4SVAOsMfISKbP049gzZncXJ5iyd3wdo1aIUHMk4SZ4hGogDIfuqQM39kA/6RdAcctwMGK3iIA4NpT4NB4GPNi6tTZv5t+SG0X1wyPgHfa19u+DGJrcpy1aXjYDXRPzSx8l0HozVoJC0kXd7dgyNRmyNT98m++/cfyr/7Vt+Rf/9G35U9+8CNZv3Er/PII9e0K8puxfibg2x2E/jgrg0NXYKdeAGZ6BfbpDdifd2Vp5weQmY9k716A7P1MPTRRWoeO/EoOH/m1HDn6Gzly7Ldy1Or8+zDJrcO/lkMHfy0H9/9S9u/9uezZ9WPZCczF752efEH6es5IWekO6LkG+GtF6MwiMBGZYfAJw8PLsP5JonDTpEvlhhGLTY0H8cwncL9npLcXOrmPJ8E/Ic0txwCI6avPAAPBnnBTPKUd+rNOI7p4OFdETIXEJ8K2pLVKZjbrQw7ge0lwEeQzjZg1eKcA9tmZWsfIYdon1uPlIWEA/OntkozviI0pg14uhl7nibqt0MNDMjo+K3MLu2XP3gNy8NAR4KpjiqlOnDwtJ9FPnHxCTpw6JcdPngS2OgbsdRA6aRfs7A48Sw++pxz6IFlJLbVPAX7wlxk44A/dE6i2LDCQUV7ciEmCn58jiUm0k93Qs1NKXjW1HMG9AD91nYa9ehLfew428YLWOuvA67U85a6C5J2p+8fnZqRVYlKHFQVXjzngwTE8EbkQfnsedGK2+BJbwYYEh+XDZy+EH16C99JuMYCgGljMkJPc2GE9KEZ2s46WRoNDT/FEft4X76m/7zxs6AXo6ovwPS7KEDqj5bu7TkoF7iszvRufr8HzZgNHxChJ9Oga1gNzw3OHQucnwLaZdHoGEyje4im/1oYMySkluVYFEZC8om/ACGQSXyTAuru64Fcx0piHMPBwkxaMT6NUVddjjGpgDyvgnxRjneTDPmRh3aQKy75Ew68IDQ8T/8AA4Chv4aF4LHB/1133yB9/7y65597H4A8y3ddPXN1CxNcvVsnHvNxW4IZp6YC89feeleGhZ5QX2LHjpszOwQdc/Ai+zadKBO/d8zP4Nj+Hj8MIyF9C7iBHB/j7Z3gNfR/+v4e8yoeQq7ewhm7I6Nhl4MnHpQi+VlIq1j7tUGKj+gAarMH6W8yKAY5l9oum+OL3rOweyEOPpGd2S0p6h5jDHhgF3gTfpFrxMmuFeW5PlM1KbAXIho2hsI+JWIu5mPNKjA0PPCG5ZSIiaaPoJ1ZWMGqfKfQslwQ7BTtkAgJIZKFrzTqSWTzcDr4T7FklMBVPRD11+mVL2/3u9pUSW3/zN/9VDnAydCJ+jon6qezBZOza9bGCiNnZt2Vi8lUZHL4q7V2npAQOUBiM+VaXaGEh1k2bt4uXT6DExidCsRTo6VEMK+/ComSq4cj4jAyP7ZSh4QNQyqdkaOgCnJqrMjHxokwBlMzOvSHzAAwLuNbS0kd63d27P5E9u7F49mJRcGHgb762E//ne2cAOEZHnxWelpGbOywREFwfODWs/eXOlDT3ePQ4CFySgnQ6nEyXYhQWyRfWMuAu9/AQUzABFCZflh1Tr8oMFy9AwiwM2Ax+TsF4DA9dxfOchMO3F07hrC4K5pIzQohRNCRomObI+hmshcWaXoxa4W4g0xnTeRoCi9qv6loImDu88dX4uxKOUIO0tPbK0MgExmMBz7pXDh48rKTViRMn5YknnpAzZ87K2bNn5cknn0R/yur8/Uk5feaMnIIypiLev38/BIj1X7qEp1OQsWaqB48+d3d3058eHp5wQAPhPDNFDoqfO9+5o3BoZ5UEoGHiODGPlvm2WjCuF0Bh8FkZHn5ORkeel/GxGzI1+YoReIyXGbNXMa/PQ3ifwzxfgcI6L61tj0MIFiULBicKijAwNF/8oAxZh4uHApB49PVjdFKmEh18nal4PCiA9c+4k5AHA1ZZtUdPkCSxRvAyMPgM7oX3cxXr6jJeO4f/P471t0sYylmQx2gyRg8xhZGkWQaUQBqeNRMKg7tgRVIOkFBVWSG11VUAgzUQ7FpVvg0N9QoU7M7X+D+G1bIYfEFxqWTnlUFJ1EpBUSeAxgQUwm4ds56uJ2UIgGp89IpMkCSdfB79OsaFnWPH41N5Is1ZqW88IMUwdgkpTeIfmiOuXrGyxTVStrpGiQsL1QIoMGyba5rpngyV9fVNxLpLhLOeIjl5RVJdU6+EVm93jwwPDpncdQCCyakdkNtZjA2UdNcY1vA4+g7IzCx+zuCZGEk4DMXJQtUdUKytMH61AAUVWNMlmAMST9lWNAkBN6PD4HhEEOSxVgo7UyRLJULrpsDRwethAIBhBBQx9Zi7DnX2Ga1YVUknHwoUP5kuxPx+RlDQsWEkBHeYuIPHOnpe7ukS5JcvMZApFgXWdN8MQxazXgJPWOQOXkXZohJcVVDM5tQX6+QX/E5lzdNGtM5CyYz89rf/wdJ4Tvumtn/6p/+P7KV9gl3YtfvH6szvhFM/B4djdvYtjeQaH4dDDieRhplRhO7uKfLwwz5y//3uMPRMzU6BXmiU8rIhyOt+AI8noEOuQVa4G8dw8rfV7vF7aYt27YY92mNqlrCba74v8/Pv4JqvQ+fdgO67CjBwTkZG8H09ozD+tQrE8/IYzp4EkO8nmzd7wPljLTl32bhxu2zdymLzoQDoUeixcK6YFsfjqBndNA353K9kDfXa0NCzGp1FO0VCa3b2TSX3eJ+Lix/IIu51Efe0MP+uvqev76I0Nh3RUHPubHNnj+l4BoRUwz7xFDme0tOlxApTFOlAMZKLO4J2+jkLwVNva4oW3p+Mz8UnVAHIQ/9lMcWgE/c2jjGYlX1798GPOACgcFQef/xxtVmmn17VARpOnJDjx7khcwx2fQ/04YjqV6bekczy8KCdcsWYsNNeeeG1APH2ioEjn6M7zwQyjIghkc0aezzJUW1C/zNwwK/oyXIkAvWUOYzd8NA1nePRUTPPU1gnSohOv6J/0xchWORR1zzJjmQE0waow3jKLyO+mUbDlBlGzzJSlhGzwcG5ABgmnZS1SNJSezHv83Dej2LuzujJd7yHkVHofUbYYW1OTN6QcVyvHzaCEWXUWSQRWXiZKXPx8TUSEpSlep7psuGRJLeShYXcs7NzJTcvD0DEHDPPKC4WeydoYDfHzNfAJjDFz9rFLq2CravF3JIsbYVd7Ide5PriZsthjNtTsKWX1F6PjFxVgngM98v7VpuqaRQzsJ0N4uIaJ2vWBMJp5qZmgKxd668RkXa6L+tcumwz0fuengB3gdG47wIpK6/DWmFNr17Yo0mMxxyuswdr9xh8vhPoZwDOz8DveQIydgI+3wmAhONYT8eU8Boc5IENnUrm5Rfmw7FPBahkBKSXRmBSjnhiorfaR/yPm5nwJViDi+mQTLHXw4wwT4wWJxlFojISdiomphH+WR9kdVLngmQTo/56tWjuOSUmGQlJAEAS1KR+9GhEGAlPbswx+pwRECpP2QOYy1H4XvauOE9j3Il7Nzvjpvgva6yarqdg13IDhnWBWKZiQW7e/Iml8Zz2dbUvg9javetN6OuXoZNfAM64AqDMTeHDWA8T0Ke14gWddu/96+Vb3/4T+Vf/+lvy7e98V+5/8CHZ7u0DPZtmbRqwSPxu+PNPSP/AJcjOdeiPl6C/bsrc/Fuq95dgk2ib9pLUApY7eOhXSlodPvqn0Me/kaPH/kyOPf7npuN3/n306G/l6OE/lSNW5Bbx3749P5FdwFi0LbMzr2uJGtrHosIxiQwvV3/dBAswKjMXa79EyZHc7GGVDwYMMKWWPjA3FxhZTLs1Pvki9N6LuO8XVMewvhyjP5haTzmhj8j0xqjYWgmFDxkO3zIG2CgxpVFS09skIwuAH36qAfgDwjpfGRm0S6bIOdO5mBLJA1iSU1jLqFLiY0ugj3kiXpO0tffL6PgOmVtYgv9wUI4cOQYbdELt0dmzZxRDnTt3Dv28nDtv+lP4m68TcxFb0aYdPHhQC5qTfKH+ZS1Ef39fzKMn9J0H7Dw3ZvyE5T8CAnjoRpGkpLZAX48AI8xLfcN+4LzHpbML9oqEH/BRXz9PTOVJ3uaE1H70Xthv87+L0H2XYJfQ+Z7ec4pdebALo2Z40Fh29gjscTvsUJX4BRaKb2CO+PNQnGDoP9jLlcwlblSTmKS+qtToOuoylsqhju8EHuF9DAFTjcIG0I+irWKUEtPqpvH7FOeRawL3wNrQeXmj8N8ZAV2OcUjTTbtNGzkWvtCzEZKYlABdma5+EIMtSArqhgzsPdMTmVrPUjBt7QwmIPHYpkEFplYWTxJtBv5iCm4LdHMLbFoLbFoLbCxL8tTDFtRIbn4l1kQJ5j5X4hPTYLMTJCwiWgJDQsXH3w/YycOc4v/Iw3L33T+S7373u1rw/r7718i6DdvEwzNAQsISJCmZp1a2Sl3NDulsOyaDfU/L+MhzMjUB/27Ha+rv7Vz8EP7gp/A/DaG1b99nSmQdJDkMOVKiGJ3yZ/ovDbeC9zOacnERcjX3Gsb1eczvGTzPoq77GG76a9mDRsyLiQbngUHpjC5Gpwwkp7VIMtZSYnKLJDBVHvPHlMaExA58thkYtx4YrBLPUiT+WANe3qbIPbsfbGFIWKFEx8H3S2+FT9er/gbT5207pQQXcJPaKab4VsM+1bAExV7FVJrqq5hqJ8Z/QdOEueH5+PHnLG33u9tXS2z97f++MhkHf4mfn8Gp+LmG1u2CQ0+neQbO/gRJHjg8vQANnBAWv922LUi2ewVIVEysZOXmSCkWLncPya4yYmRweAqODAsdHpH+nrMQzmfgyL4AQaFjCQedinnpPVnajQVDxbz3p7rjsP8AixzyPkxXBhSv7d33Myhw3BcWycLi27Jj+gac2fNwEHZhYTZjElNlm2usVQssGgo4RxITWqSkaELqa/ZIe/Nx6e2CIwflMay73xTaV/E9rwOYmGgxLmB2hhsuzBvQRKe3s+Oc1NcdxuTuFBYkZD0hFoRlPS+Gg9LxZaSR2dlllAoL0VYLi3EzXJ2dv7M+VXR0mcRGF8GhKoMT2gxlNiQzs7MYg11y4NABGJ+jcvLkSTlzZkXpXrhwQS5evKj96aefXu78m//je2wlTNCwd+9eYeE97twSNDDdY+vWrZgzF3F19RJfr2iJCi+EEEHx5o6aNC+y9g1M6TiqBqqTRbi7qWAJEq5hvG7I9NRNAMA3dYwWF99TkLd76QMYcdN3LZGgZKgmQJdGVryJ+3gZn7+oij0zp08iY5gLnK1C57E9WcNrSd64e5KYTNZ5i4GgUvFWwClsbOYOx1np7eWR2AQJcBQwdxMTr2D+bsoU7mlqiqD2eQUMrS3HpBqfI8HFVBUFDAk1mJtsfG+a8BStzMwc/K9AiqFwS0uKpay0BCCwTJXvarBQWVmhr/GkqPyCQiiFQhjacoDBVqkom9Z8497uizKC8ZkYhfLHPc1MQRFa0YdUZjt3clcN6xx9kVEfeH1uFut3x+sw9telq+eUVNYuSEpGG8YlV+sPbNkWrsz75q38GS5bXQAYPMKxzuKg3DKloKhUauubpKOzG+t5SEaHR2VyYhLzw1NDFjEeezE2h2Vi/AScqjP4/0WZHLsm0xPPyw44Wvw5OQ4ZGIEhG8K49p2X9hY48VV7JT93HHLTBvAGZwYODEOeTVokUxXZud5v6zCgQawHRjIquR1GwgCFVsgcC7n3EXjCYNNAs0hpV+dpYdFPnk5VVDAurIeTkd4pCXH1Eh5SKoF+MMYw1JSnBDhPaSmdusPH+l7c7WO6b0nhlLC4PE9p1F5iOkPgeXojI1ZofLOzB+XXv/5rS+M57ZvaSGwZ2wCnAnaCJBcdepJQdMapq0lu0ZmmHmAUBNeLu3uSPPIIo1V52muj1NXOSXfnCegSOC9wtncAsMzNvbW8ucLvXd33WdfU66Lrdfd+ooBiAfI9M8v0yOchaxdkeAi6qp1kTTP0SBXWdYHExFH/sv7XNtzHJjhZm+SRNVvxt6dsWA9gvi0KgIFFTjs1aoqkFmvtcGPAOJqQVdhfEm+MVFuA3lXybelDvQfaQ+27PlZ9zEi24ZFr0OMnIYN7hAXjSVox5YqRl3aqFtPquFNouknVYq2Nlc66KSx83gAAw3TGcjhadE5bYbNGcJ05XHO3Ovx0/E+dOimnTxMsnJWnnnpSLgAgPH1xxW7RTp0ncICteuqpp5YBw759+/TkPqaI8+h7br6wDuGmTa6yefN2cXOj3suBXmmBQzaGcV3UnUVGahlS6xx8jIvS33cJHc75wBXMw7Mmwg22m7bB2CxG3VEff6DzbPedOz/U8VxYeE/tGiPgOO6sYcaIgNi4JgACkv3ZcODTLfLEnLBJYoMnAXLXm44fa1LwfuwIO0NmkUyj3XwDju1bSkzyGvQrSMgxkocRZDz+m1FxPE2QkVIB/qxBEwU9HAO7FY95SAFYy5DMjCyAXtqvPNikAlzbdHPcPNMxWAS+FHqvHLavBj9boR85vgvCdDfKBjeFlCzlusJ64fqfs3yfuVnuLr+pBOAEHHuSciSLW5sP4rrDEhFRiTlKkA0bQuTRR31lzRrWs/OW9egbNL0jALIWhfVTANsJsFDPgtc7cN09GJMj6E/I2OgFzMtVgIbnZG7mOvpzMj97Dde+Cht5Bb7EJdm757zsQV9cPI4xXIRcMa21DqCmGM5+OuaEhzMEYY0wc8Bftm0lwRUl2z1jxGs7I98YicwxTFXZZ0SXfwDAXlChPgPTRRkNQYKJc81C7tzwJBlqUn3pZ7ygskSymOkZtGl2dDhT8Bn1RaDInhjPwvUdCsBZkJmOv5afgPwRPHCThREtKym+pggwyefSstllsPDyyx9bGs9pX1f7MoitAwc/UZsyp0QR5AmyRuJ4cJCZD4cA0kclNCxH7n9oi3yXhz/dfS98PVe8BtlJK4Rv2ou1uRPrHrgF8sfgglHqE3zPDsjs/CJ8cPjcS8BpTIMiOUWSSkmtI3+6HKFFQuvxx/9ipR/D3yS7jvxGjmha4q9g2z6TfcBfLDy/CAA/P/8ubNpN6M9r0GlHoUe69AAvd49E9dmZuk29x2hXbgRQr1AX9/eSzIfuHSWh9TJ0yOvQL2+q3lO/l5lAGMcx+OqMYG1sPAp5WFLSmJsoccBU4bBPYZGlEsG6UfDbE5LrleRitkwS7VFyGwB9G3ANf/JwMNineKbtVUlkFDfz84Q1/BobuqDnJqDXFjA+ezEuh/H8x5XQIrY6dw426sI54KiLcunSJbn0zDO3drxGjEWbRRzGz3BT5tChQ3iGGegMRnoy4tpbXF3c0D3EzcVfvKB/wsMKlPQheVBVzWyNA9Lc+jj89dPAxud0PklgmX4J+sVgLGIb6twd0L3cOJsHRl4gTobtYh21RZ5mCUzFQIKpqZdkZPgK1tIpxUmpab0SHFop3v654uWbrllL3tB9mrqI31luhGVGmJZdUjwJ/3ufsL4fCbShEbO2JmEriUuo/2dgB9ReWZ2RfDMzwFoTL6o/T5KekXNZmb2ShPEP9s8Ud2adbPEWb68A6NgIzE08dGIq5iMLNikPvjmwFnCWwVim3nFdXc1yr0XnxkxFRR3eVw9s1oB7bYH+7IK89OMzJOPGoDtH8XMU7xvGe1heAbo3rRxrIBtjEI/nDgFe4qFmWyBfD8uf/OAH8p3vfFu+9a1vyfe+93154KE1stXVDZg9Gj5hAdZfq9RWT0pn2xEZ6L0AvPS8TE9iDjAWHHtGRVI2lNSinDFCC11JZMgQ5UgjI9khV5Q/7cqt/BKf+bkG55BPmcX3ce76+8/DnuzEOumA/WCGi4kw1lpp5Aw0E6berG2W54ljWmkbfDASU2OwLbQpi7AhTMmdg+2YkGz4eSblt13ik5o0Y4aRkIEhBfhZJFGQERJkGUz3zeMmzK0El53iq99rpfwyO04xFdOKMd+8tqYWA1cfPHjJ0na/u32lxNbf/u0/yhEy9+ichMNHOFkmnG7v/tXk1ltQqK/CyD8vvXAA6moWAX7LJTomVVLSALRLiqSiplLqycJ2dEpX9zAchXnp7DgEEPEEwOwVQ2pRcGZeN7sNS+/BIf/Q7DYwpE/ZT2ux4F5u73yd71FgwWNrd8JgAFRMTFyVrq7HJTOrC45MlmzaEiMeXilY5LVw/qB4oThZb6e74ywUL4SYjos6nK/INBYud/vNDjiJGkPWLDElcyeBwgcyD2UyPf0KPnfVAgu7IUwzENQhCFOrhEXw1I9MCFO6MOKIBVNNUT+eFFRiolp4WlM4WfNsVbw52ZXS1toDJ28Myn4WArMLCvMAFO8xOQmH/8xZKt5zcmEVmfUMlO3ly5dv6XyNnf8ncKACtskt7qDzmFSmJ7LGFOuauGzbLtvdwyQsMEdS4hskD8CPBAGjX5jCwhxb1nvgjjOP+uzvf0aNFCMBmPZC48RxWtLTVz6G4/ljGMRPAE4+tTrnkiQlOuZ1NwAXiS6CChpK7g7XN+yFcHaJf2ABDGWybHGJkU1bI2WrC5xR7yyAqCYpLJiE4mSU1uPS2f0kgNRlJSPHxrmL8Cq+i9ESBAnvQOnCGcd9zc4BMMzQGb+uxAnrW/CESqav5cJoJiaS3MrBXPBkEqbxZUApZ0MpZmMueTwvgEJ+PoTX6oV52nPzcqEsctTZyMyqh6IdkaaGA9Lbde4WQmt2xxuyOPeu7FqAErxlfDguP9Hx4d+af72LoBRAauFNPM8NGJYrkJnTUNizGirs6h4r6zb4y5p1PuhestnFTwKCoiBrWVJcCoNQ3ySt7V0wijzJkYUWGaU1L+Pju2QE4Hpw4BR+npcJklmTNyyy7S1N82Wqsen4HcZyJ40mQQ0ckBkY1FEYuZ6esxr9lgrnPTisFGs7Q7Z7p4qndwp6kuleSZCzRH2dO3hRMQ2SnUPDs0sdlo72MzDYTyvIHBu5riBzcvxF3QWhcWQ0JE/dYHQNj14nEZWbPSjpKZ0SF90gwYEEk6bmF4G4fawxw3V5yg3TkXKzhxRsmT6iPTd7VHIyh/Q0EKbTJCXWyi9/4Ryh/k1vJLYOHTa7YUy3UOIJDr0hdKCnsbZJHoxjfTECpaPjCdUBPHqcRbuZGl1ZMQ/7dQY67Srex5RD7nxDp+HzjALjd5LA4vebzRWzA86UDrVD+ElHhe/h6VL8DK9Ne7ZjxysyMf4srk39CcBc1wEQXgUZyobOiRUX1+2yZo0pwn3ffWv0WHEWu2fhe9a64AmDPC2X+tdEasFmAgiRGFGbCRuspAzJLDwz7Saj19h1LND3WIQb9S13XZlGzjSosvI5Bds8pIMpWkyp0kMnoqwUuxhTk0NTipdrHbL+IQ9hgfzFFUFPVktbew90zRTGayectf1w5MwmzOnTZhPmPGwW7dUl2CMCA9s+re6rAQNJMH7+MEDHwsK87tjyaG5vb1/ZvNlLtm4LEn/YVqaOMcKTDpjW/2g8DP1yCuDIRPCazpQO7nJj3EbNuBky8B21VxrZoHMMXbyfDqrpK2NnxnIJupn+AKMimPpDXZaTOwbbUS1+vpmynXVOtidJUGCeprDZEXaM7lFixCIjuQ5JqpHIon2ySTWSoUrEYo4mp15WYKHRW9W7lZjPwzyRVGT6qH9AKgBlDPRgJNZwtMREs1BxAq6bjHWVBjuarrY9MzMD45Ml6Wm56IX4vDkApqhwWKqrd0pb2wklpxjhzB14EmtK5uI+GIVoCFLYJjjf/Lm0LFOMTHwDz8F0X9Zzuwgf4bCwxkdQYL5s2BAujzziJQ8/4obuKjylmZFmycnFAB2D0tC4E7JwFJ97CnbqCtbO8/pdO5RMZr0Sk+LLDZ8F+Fl8bXaOgO4V/H0D/SXZufgsfI7TsP2L0t7Rj7FuwjiRuMvGnDBtn8TWdtm40Us2bvKTLVsZzQWA5RKGHi48op6F+j09k7GusjRNOSOjT4kl1r9SQI51MzJ8Tcm+CUbEwFfhGJkoTsg27pfjxqgGkmD0lQgEeIhKEuwS663atexIBtPp1yhIzCWjk5miaJ/IqB0ghCQWX2dnlBcL27N23QsvvmtpPKd9Xe3LILaOHPtMdlGfKKD9EPJOnfIG9NINGR69DN/ttDQ2LcGnbBE3zxjZuNUPOCISQDYba6Ee8jMJWQN+Uv/3GfiI8H+xNidJkkOnzEOPLEJXaVDAPgYE/AIYAhgOdorgWiOzNFrrL+Tx43+53PVv/d9vDbFFbAU7x9pcy5kxi+8rsTGJe2WWTV3dTqzxKtgqYBy/HCXfuSFJUos1ebh5qZsK3FBQ3fuyTJEgmX0bPq61EUMbq7jqfdWBtL2sEcnPMtWJ4Jyn+JG4IiDnRmkQT4GPAJaKLgEoh62KZTYAD6/iiausv1sBXMWaiAUSFEJ9kA3fvRq2wdipnTuXMC778axH5Phxbr6cuiVYgLaIOOrZZ5+9pV9hv3Jl2Wbdbq+Yori4OC+svZuRAey33U+2bvESd9cwCfbPliToAcoziQGSWk3Q7+3AVF2ajn7O9G7+ZMQWsM0wMzpYkocYC3Ye47Nr6QPZA72stdNotyx7byLHiau4IcPggdcxT9exnp6CDdkjSSndwAol4oG5cnFPQI+Dn54qLPlCvcTaaU2NB7V8DO2lklrwhYirOOcLwDDc5NHNntUdtoJ+Be3BJN7f1fkksPUeKSa+Ypke+AwhwL8eGANXF3/x9vLXyC0W12f6Ju1UVhbxlsFZ3IgpLmV6fSl+lkkxdHphYRn+V4XeBFvfCVwwJA1188DKB6Sn67gM9J7RlMjBgQsyNHhRhgdZTugp6e1mWRqWGOAhbK1YPwWwCxHy8KNb5U9+cJ/8m+/8sfzrP/qW/OtvfUt+8MO7ZcOmbcA14cCAOdDRDRiTMWltOiB9kLXhwWfhx9FGmrlggMaunZwH4lzDUxw6CJ8QsqbciUVoGSIZ8nb0z/D3rSm/TFPkZ3ft/ink62PYlLdlCrI12H8e/swu+H8tGgFpUn3RNcq4WMLCmO5L/6xeUlJ7YDMmlSilDeZhI4zg6+0jTr8o3b1PSmsbbBN8EW6csJQET13kAQKxwPrMpmFZoAjITFxCPV5vx3wASwEb0+dgNkwBZNqcmgn7pD/xN17PzR3FuPIQuUGN4CfvEQc8vXvvE5a2+93tKye2jh6hgmO3mUbLebcjtzRC6j0lgcbGXpShgcvS3X5CKksZacET+kqliLUfaqqktrFRmtt6MMBTcKb26zH8ZPFHhukwvGIcdDgwi4xgUVLrY72GIbV+ZSlmMqCG+VzdzSL5lZ72sXcfBRyCvfQODMbrWCQvSGfnSWUgQ8JNKhRP2GAYPcFNW+txDZEdgGMyzJB7CjKdlxk4nTA4vJ+dUCRLjDraTSfP2gUnMQPjwZBfOjjcveOpAdVVJlecdUqSU5skNKJIvPwYgUSgn7zMkGtx4CBGu/AEwzSJiMrCYgFAaOuVsdEJfOec7NmzB899WI4/fgKK97Sc4Y73+XNy/uIFVai28qWivV0BqxLG67YStskt7kpwN5ypibwGw2ezs/MkJDhWQgPTJRGGIwMGhAXvSwqntZg+axO1wEi1tZ6UHijdAWvXeXKS0QJ0Nt8xxgljYshI7hIRCDKv/2dYMz9f7oz64+v79rOoHp1lOMoYXwJAOrdd3acgpKNaU2aLa7xs2Bolnt4ZykrTEVSD2XxMUyF7By5ptODY+Iu6W8VoP91NwLzNL7wPIwywgPviHGmE1CIc0akbMgBHnkaX6ZUlpRRy5vTXQ0lQaaRBaTAXO1ESeaR8Ko/s5TG9pvOIWHae8JGQmIr35EtOVocaBaYc9sEgjQxdg4JnGisj/qgAWcTzI9m7CwpwD8CTFYF4QMfHHhMT8UHyb89eri+MycKbcAJeURBL0rgWii45uVHcPGJk7QZvWbvJXbwDgiU+KVUKioqlurZWWtrMaaP9g2MwTDswPosAYfsB6k5A4Z+TYQCyCcjqNI2VBe44d7rrwHBa7Uz5JflIQGP6EuaIRK6GzE69AMN7VsoqZrXQpE9Atriw8LtbpGx2C8e8RYmLR7z4B+Vonng+nHWmVvD0py6sn76+Z5S84u7cFEAB60KY1FUTITmL+yJYYPQAiUiC+jI4N0X5k5KTOSyJ8a0SGmoiIplSQieGJ5UxtZgkF+vaMZVxJcKE9X86JY3F7VnonuHs8aUAeuXy61//maXxnPZNbf/0T/9fyz4ZZ8GQEqZgJ9c2nTGSCAQOJDe6oe+5k1yHdaWpEo0m9YrgnqSDqZvwJvTGu7r2jR36TG2MTWTZ11vdleDCe0h6cSeOu+UkB6h7GP1CJ7O//7g0NU9LeUUzgEsB9FqKBASEyubN2+S++x6Su+56QO65Z70Wo2bdCwJbRu1wY4HHLivQHr2m90mChTumuqGghLgpEkw9ooWCMQ4aUYZ7MQSN2ZCiI8o0O9ZBZP0ejgGdFEZuMRKSpwGSNAqC/IaG5MEJZaoxU7VK8HehBDMFOTgDjinrZNRj7AZwLzPQWbvl4GFGaR3TKC0TofWUOv60V/+crbL7antFMoz26siRI/juXfAVSAYU4f6YWpamcp8G2eax8ox6YQ2SxmYS5ywUf0Y68XwEDBrhhnlnlA3TDLlhRZ3MiCyuET0tjPoY/gPnz5Ck3Ehb6SZCHOPIMYTN4hhShxJYstgqHUwvL9jyAJJaLRqRQ+KQEXaGjHxWr2+TI1yPNkggECGBxDlcASbvqW0lidnU/LjqTxbq53qgA8nUxCD4Dtu3h4mXdxB0YQjsFk/k4mlc8UpymZ4osbGpEh2Vjdd50levVFUuaOS1IbSeXSZyaQs0hYmbL1j3Oi60SdZassk+rrEV0thEspGIo//U3XUG62kOa6VCNm0KlwcfdNU6XF7bI6CXSzFWo/AjjippR6CrG2OQDSX4YLd1TmhzLLBG2bsdtJmUX9iiGda7uwyQ8aSMjh6Qjo5hrbNCQJSZmYX1EaPpLxs3usrata6yZo07fm6X9et9ZP0Gkl6BsmlzuLh7JClIIBnFlAsSyNQRTEElETppzRntJeedc2Y2Oz/QzjHj/ZAwJtlAWWUEP0mq9LQujd5iBD+BN6MhSU4yPZFgkoc2mFQq1kxZVTsFr2dkACjgvbT58XGVcu3aTUvjOe3ral8GsXX8xJ9Cl9BGfIZ1/akSRozemsb6mpiC3zPyLGQTNqrlIEDkgMQn8LRr6JXkcvzdLTXVi4pbentZ6+iKjJB0Vf/3ddiDt2WeGQDEKuqLU6/90tgsdOKllRTEzxNbx479uaYj8n0GePM+f6YySPtCf5obxozaHBl9Fjr2hBQVjSl5y42PvNwBKS+bhe7bj3tkPS0bL5CgsSJUofsMtrI2Y6BPeWojU/uJsYx8M13zJejtZ/TQH8oTbVRKWjuwUgV8y1zx9mPAgDkJMDgkR4JYR8pKrwsKzsX/MsTHP0WxVUFhNWxCH+5hEt+/CJu4D895WE6cYKTWKbVVJLV082UVqXXt2jXTn7M6fr969eqyveL7aNvszBh+38FD+6Ef5qWvt1/yckokKCBWgvzTJBb2ijWoSAxws4Jply0Yo7aOM4pnWE6ls4uk1kX4CWbMTOCA0TuMDiKhtdfaFFeMBdtuMpdMp9/BOVedSYyKtcAIL/rarOnIzZaw8Gpx80yDz54ogbDnPLGXdbt4mBIji9Vewl6Njr0g4wzysLEwbRUJSNteMbLZsluLwAckJXkCIDNk2tqekBpgYQZH5GR2S1JctYRintzdwuDbsG6mH3z4MNjNGOCoREkGniLOSksDzsrI0INBMoBL0+EjZWaVCVPmS4oHsfZJZh3E2J4Gzrqkh9lNc6MK9ot2iDwCx4tYgq9NQ57Gx69hHV2ATj8Bf2cXdGyX8FCeRx7dLt/7k/vlj/7o2/Lt735PHnx4jXj5BADTZEhOTg3GZFAaGnYrV8GssjEN5ID/wPmA3TPRWsbnMpudkLNVPMXRo5CzZVljdCRkyyaOLXJLg3L2czOWkVs/0bRG3v/kODHfadzDtNoN8gU89dLXn2ueh+2UwbY341ng+5QznfWgpqIylVXLKTHdF/NAmeMa0ghrrCemAnMzi5uAjBimP8FTTBn5FRZRDl+vXNMfeRInDz/J4GnPsEOZGb2wqX2rurFPDERhFBg3bVijMoYkc1yh7D1w0tJ2v7t9tcTW3/2jNQkm79qwj4ZAYlri/gNM9/ixLmg6JhzAEYDVfjiSrfUHpKqMzF6DFBZVSXlltVTXtUhdwwhAxG7hsft9UMpDw0xjo7Iz6YcLFqlFwoNRYWaHnKQWI8ewUI78VhfL7Z0sqJJuPLL2IJyv/XCC9sDpWHoHYPwNKEjWVzmryjE31xQAZQ4x0+va22Agus9C+T4twwQMAD9TEBACBrLROxUwMFedC5jOHh0u02mU2Jd2/RiC/7YqovY21uLYp+HjOXksKt8gIeFkiROF9ce2ulh1ktyj8RqPaY2V4LBkycorg+LpkbGxSYvUYioHI7UelydOnYbSPKf53SS1Ll56WkNibeVLRbusgG/r/B/BApU1wQKVL3cnWPOExNns7CzmYhBKo15S4sslLaFBslK7JD9nREqKpqS6YkmLxrUypBgKeABCo84elQkE0DjDJqphjxI2hrkmGDh0+JeYF7tQpekGGHINMfKBqUN2NAF3w5mG9xKucRbjNymBwcXi5ZctUTF1wpNQWGeC6RksXM8djQHuAlF4cS80mAzDZjgnd5W4E0aHgcaYXSMZOJdLVL434RA8o7vhSm6VTMNoDgpPHImKKYYS4VHlMRIcGi2RUSweyN1w0+PiedR8jESExUsMI+yyOqQWwLOz9ZQMAnSak2moaHnUK5TfIqO0YIx2Q/ntxdhYzL6J+OAY2UAKHa8ZkssQXEu7Ga7O1A9GfDwvwwMXMQ8HoPybxcs3Rtx9AiUC95adlydlFRVS19ggbZ2dUG5DAA7T0tu3JF1dhwCsTilxOzpKMvJljDFTX8yOGUnFXSSyND8chnEfj3uGfFudv1PpKlGA9b+0m3LFqAKGjT8rra1HNMTVJyBLNroEy9rNAbJha7h4+2fDQDBqgSe9kNSCk8NIPzg5lHsTWm2DPEadWGmsMOA7KXcADty1n56+AUP7lO5EsBZeWTFP3xyBs98GJcwimTz51BztznpepiBmjYbtUkHHwtniaT0kvmJ5XH94EYxsAdZ3pTQ1dslf/aWTivhNb/8csUUnjE6hSfF6XnePGXVKcpx1c6gD7CgoEuQkx00UzXvQGeaYdH4fZZW6y77OP9d5D3z/MqFk3Qd3NCfGWZ+Eu2dw+HKqsY5ZwDNBtm/3kUceWSv33LNGHn7YXWtgEPgy+oOkhgEJLBZPsP2cknSmnsrbcNRJbH0EGbZJLW4i2LqF9/Ira0wscgu6msCcuoDfqZFbZXOSzTT6pGatEeTjnYp7ShRfH+hC3zTImEm14wl3Pj4JkLMMKS+vg10dkqmpHbj+EnQX7NVxklqn5PSZ0xZQ4O63IbVsMGDbLNtu8ef169f1J/9He8X3016RGGP9LaZ5LC0tYZ7GYQeYHlklyYkN0NndahtYVJcn8rCGmJ4mB33DUxA1/U/n1pBa3IQiqUUHnevDHq9l8HeH+WTn/zie9gYEP0tSg+QTwSULqKammnou3IAxxZIPA7CcUWdS0x81UsukjnJ9KUCwQQK6AjwCEq4X2CvqZhJg1JftABzcceU88fvT4XTGxVSKn1+SuLsHi4uLj3i4++BvnnLMk7nCJTSEhYpjoSd5Am6N7r7WQReT+GOtLBIxNmFD3ct7oU/HNcL1omQe7ZF2u/zDSrov75X3yYhIQxxzM4LkFn2teWFtUVeXOKyjZOHJX9XVU3iOY7qGedgB68JpdBiJWVybNpq1U/ndxvczNpKdv9vX3wPZ5nsXdzJ9H2B+hs77JTwTyyWM4joshA9fJi1HwkJZq85H030ffHCLPID+4EMuADVesm5dAP6XiLXMsRkRphNSLzBSi/fIqBE7io3PxzHinPNe7fmiLJnO+3kfz8QIfpOuytpZtH+ZWX0YizrMQ6nwkBSeVJUQ36DRmKxPx1M0Wc80lZsxAAgsA5GE//EgFpb2iIVPwpNFX3rpTUvjOe3ral8GsXXy1G9VJ2u0BnQP5X1xib4e/B1819j4DQDxZ2EnnsR6PAA9OylZWSRDW6W4eFRJIx7QNNh3STEXU2Mnp5nxQv/3HSWflrAed0M+1Ras0m3LgFtJrTsTWxpZYhNbSsAZokTXONa+RphBdkcB9Pv6zuMemYo8qCRsYSH9dABtTQk/pT7fACNlYXup+0xWDuwrSZLdxFUWgQ68t0Jis04mdSMPK3tD7V0Hnpe+OgMUkiEr4RFlwkONeNASN3o9POP0sKPt3kni5ZMsnl5x4uYZKQHBifhMBWxBL2SZpNYCnmePHD58SI7DVpHUYioh7cydSK3nnntObdPqztfuhK34Hfy+xx8/inHbDx2/E373uBQX1EtyfKWkJDQCLwxo9G1NDTdhjimx1YJxagGmaWvnRsxFrVlM/9gEDjB61Y4MWiG0uCl+CBhKccNh2ifTWdNp/0GTwbRvH/Q01tZu6CpurjFyfGjoklRULgHHtEpoeLmkpHYAozMLBj5GyylgYRaHZ/1HEymmKaPEChapRSxjNsFhO4kb+P3oXBs7gd25GTg3/6ZuvrU2n9Bat8WsP53eDh+8XAICUmTrtkDZuNEDGNhb/AODMZdRwqLu3JCJi+NmTJKwllxcQq4kwc7n5vVi7heEh8NxM2YUenl66obMYS3NzzIVk1F/eMYl3APubWkX/S1mlH0IjMP6VYyaf00joVjHu6/3LDDtHqzXNtnmEinf//4DctfdD8qmrW7A4jGw4cXQ292Yo3lpbTmqwRzMyjI2Cz6X5UPwdEOuVWOvzFxQZpSrOGqitDTFd1nO8NMiufg/cioqY6oHgLX2/Azf+WO1pztgR1h/r7vruJLFAcA5LMvj6ZUsgYH5sB2twiiqmprd0sTNvA6msl6Er8O1YxGi9GVnTarvPKPtgEeZfcOaaP39F6QZz6bR4GUzuqmSkNgiEeFVGjRAbMWySXqoCmwRT7NPTGjWnsCT7WG/WE+cEfxM9Y2OLsdnCzCPecCjlXL6yQuWtvvd7Ssltv7u7/7JMI1k8BlKp8QWJ4IgHJMA4eKk7oRCXia24IANwJFsazwqNXA0C/I71HkvLOJRqn1SXbkgzY2MkDqvziCjvCi8VMhcgFTuFJB9+8mA/lSvYxhQspuG1FLFe0v/M70/kiaHDtP5AUA/AOW4l4QGd9bexuTeVAa0H0JRX38IYIH1DFhkFoAbi6K767RONFMFxnQnnMoXTgydLRoIBf5m99B0Eg/8SYWPxbj7JxCkj3TBj0MhtbeehpO0W0PKWeAwLrFW6w25sf7EpnBZvz4QThVPxOKpkZGSmV0CxdYNp3AMTtocrrcbimsfjMshOXnyuJXOcU7OXbi4TGpRodrA4IuUr62A7V1we2fh9OnTmhPOlMTFRdZd2iFdXUNSlN8saYl1kpXaKXnZo1JatENq8BxNjUcgOKeEJ0mZSC2SWq8pa01Hb4XUouMJAb8NJBhSdHW3wIIadxJcHEc68wxrfUN2TD0Px/JJYY00MtI8op5H0FdXm9TRjjYClgtGiJd3q16DAn5Td76o0BQs4L5IPHLudP44j1B8DOXliWYsGkzAwNRGU7ic4ZktwuKOfn6JMJyR+BkOoBABsBcOYecR86ESEhwlkWHZSmrVVS9KB4BUP+5nFE69XVRQT/FcxNjgPgypBaCw/xdy6ADGBmuaRogK0EREmh0yk3dNgospTRwTEsfvQzG/KTNTr8rk2HUZwhpuadov+QUdEp+UJ0npmZJbUCgVVVVS39gkbR19mMtJ6e7cJd0dUMrcee5jDTuj7LjbMM+TRbFeOW90fjTddz8AxAFcnwUPD9JAGiPJTnLZdsJMRCRBFxwxGLBJKEmSxuWV0xISWSBb3eFg+GTCMLVo2CrlrJFFkwEW+uCIDQ5exbhbck/FS2DDtEdrB5xFSnfzFFYlIrl79w4U9EsyxJPtmOoBA1wOcFdAcJfeoUSWvz+LIvKo43QJYDQJd+1CCwDqioRFMUPDCvEzFyCH6SZZUlJcJ+1tfTIxvkP+/b//G0vjOe2b2u5IbFkEDnd/SVQZ0H1NiRyCV0ZpkdRiyDYPmTCOt0kPM6QDHEkLZPP7KJf2NW7v1Gm3v2YcFgMKbBKA65sRiUzd6u4+BX02Lrm5tRpR4+cXIBs2bJGHHt6mp58ydYn1r0hkkMxnOhvvXdMQ4bhoxBbAhdlYgN2knrFsk7lfEnHW/SzfiyFl+D6ODXdYqctJ/hAscTeXIJz1G4Jgr9xxH25w/NxcI7UIt5trhHh6UBcmAWzVSl//EBzfaYzVEr6bO+BHlmtAnj37pEZqKal1ZYXUos2y7RV/Pv/887fYLPt9tFkr9uoJtVf79h2AntiF55+R6qpuycpo1JOuCHZ4qjEjOxmBxvHi3DJ6xmzEwGZNvbRMTigJuGpu6dP8IaSlTW4p0IPDz2gnXoPRWayTxBoUTElraTkGQMXiuxc0opuRUVpDlI6xReYYgsREKK34FjYBST37oep/EkbcTWeUYUX5PPyqfmGx/6ioYvHxiZFt28xBBC4uLNLrI9u3++NniJ6mGBtTibmdwLiYE9S4huik24SNRgMASJp7WL3eOSa3dq4r7k7T9+F7GRVAeeG4kmglgchTSDvhL7AOEHd2CXob6ndLLwDFEGTNREWaSG9uijFCa/XatQnZLxp/U8+OxLWRb702gcAYDwc4AVmZgb/ZDnteDqec6fAhGJ/t8uCDm+See9fLj+7ZKA886A55i4RNYDTAsM4b1w03XVkgfgTjrTVtVo0RD2RYXjsE46vmS8cC48dx5PyS3DIF5vfqJiePbU+Mb5TwsDL4D6zlVYa5Y+04k+7L9F6CBKb/RkcRJMBuheRIOGxWVmYF1lavvP/+h5bGc9rX1b4MYuvUE3+mOtm2EUYff6Qb+7PqU72iEe1ch83NRzQC0pRUoD2YVdvV1QG7BX9qlIB7jKS9IbaIW1aILcqTIe0PWvJEP5PE1e3RWtr5GjHVamLLshtmA5/kLbMrSGzBfwZ+Y0mSzs4nNKWdxdrz8odwvzNSV8+C6Cc0Qp+1i9W+QkZ3cBOTKca6oco0up/IAeiSlYgjo1toL1W/Qr6p/xhhzBMUWTOKZSWY6s10LJbC2OYSIxs3haAHad+8JURcXIOBrSJwTwXS1NIB/WxKu+zevQvPxMNMjK0iFjJRxSb9kDiJtmc1rqKNsvtqW7Wa3LJtFW0fMRs3Ynbt2gOfYhbzOCYVpZ2SndEqOdl9mjbPch6MsmnAXDYALze3nMTznZP+AYOL6YvMkdSy8Ax1JDM9WC+Nc6L6mXNKQgv44TCDO9D5+0HgCuO3G2zFz+3B3O3Ed81gDoY1Cu6wpqQxhY0R20z55KFgzDgZGmSdRVMeiCmyjNCzI4uJn3Szb1n/kYzkpjeDSYi5GcFqSgHR9jbWHZKKkhkpzO2XtNQmy17FY568Zf1GN9m81V22e/tKQGAw/PUI9BjMa6JERWdLSmq9ZtQ0Nh3EOjoDfE7bsUIu8aRORvhyY373Hjwj1w19HK6hvfiJ13YDezHAgffPz/CzlJch3Ftn+3EpKRrDNXP0BES/gCiJjs2S7JxmrDOeYL9P0/oYJc/D0chx0B6QKOLmu7EFtJlYv5Qxa04oOyS2tGbdbeQx/7aJLb6HaYsG70EPkEvY9YnaGW42TUzgPodYG/qgZqJ4eLLge66STIX5Jt2XmVTt7cTDFqlFPIz7XA46sQhJknDaIb+cn/n5N2Crn9eo9rrGQ1KKNcAaWSkpXZijGoxJMXzAfAkJK5CwiCINGoiEXYqKqtBI+UiN7iqGjSqQUPiKoSHZEheTi7VdK53dfXINMvL7tq+V2LKddzod3DkjsWUUz7tQVq/pgmPNnP6ep6S16YiSWIUFg3CUmyQ3rx0KeUpqavZLeysAbu8zWKR2XjjTxwyDz+gow4BC2TGFDYD6MAA2SS1GZXEx6D3d3vX+KOBcXFCQGrVl7zDQ8eGChuMD57Ob+b/VPPacJ9LswuLlEbQsyMud3cvqmBnBsQvDkdgiMbLieHEnnsqencK0C/+jIWHaIqNP7B07nr5m18UgAPf1y5KtW6PlsTU+8vAD22TTek84nWkA6y1QAsMyPbkD11yS/fv2yeGDB2FgjsipUyeW62qt3lGwAcLvo3xXE1sEG1S+3AVncV+CEhY85FHbjQ3tUL61koH7zckekdKSOanFnNFAMfebO98rrPWbsrhA4eYuK8aFET6rWOvDEG4lbKx507mz+nIEoK4nzpk9X1BAZPznXodifwH3xJTBw8Ice6Z2sPB7E5zPzjbuLJyDgiYgvQ4FzHBZhmGb3d9lQhJryZ43VcIwlnRKaSSogJn+SJBIxcAdi+LiHVBqcECT6oWhzd5QwO4eIQB1AAkevuK53Uu8vHmCWqqkJbdJFQAGiVHurGmqy2pwTOBir2fcA9eMRgVAkdlErRkfMvd0JBh1aJwJjqEqOnV4TLovybIpjP0I5qC74zSA6ILkF7ZKenaR5BWUSEVVNQxlK+ZqGA71nHS0HpaeDgC73stw0o1StglbE2FngJSuZyUjMW+UNd7bYevelu8JHf8jwWV27A2oMFF272D9vCIDQ+elrHJOYqB0o+ObhKeylJYSbO7DPR3XlCCGVw8N8WSVlXSc5ToLnDOVNbMbRIOxB4Zy927u3HHXhTqGqapP6m4g66AUFI5JWkaHREZXiI9/pnh4JYu7lfLLApl+PFWTxYH9ksXfP0FiojOkqKBKujr7ZWJ8Gut3Sf72b/7W0nhO+6a2FWLLRNVwTVPu6YitRGu9oJEz3Nkyx+gf1tRY1pLghgzlg4dNzKkTZ2SXzjW/iw6iAfYrAJt92YGBDTJRw7f+n/3AoV+q/jH3w82Pt3GtFyEHzwCs7gP4bpP4uGxNR9y0yV3WrvfSU4tSUtuENXYY+cNT/hg+rtFHTD2xd+R0Q8hE2ihxTx2Ha1FGDVmzch9Gr9jktLkfypxuxuB+eOIbSWiSaSwaz5PifHxSZcuWMFnzqJc8/LCrrFvnIb6+4bBpZdLVxejiMdjWecgpU+YPYRweVxLKpCCa4rvPXL6k9scmtWiPXnjhhc9122bxPTa5RVtn2ytGgTEtn2BhZmYe9poACkAhqw26pge6BmChakn1DeeWz8PC8SSEaNN37ABQoENKm04dg+c3c/vZLeO0uhuf506kpVljSmRYY0hgSTDKFEiG+bOArn0ftJ2M/jHE1k11jLkLz8/yXox9+nznPRL8mWu8CRtzWVpgb+i3sB4T6y4lwVaFhuWJu3sU1o+PrF/nJmvXbpVN3BF3C4eDWog5HdRxYW05E4lEou9l1b9mTLihSGLUJrVWkaJ36AaMW0QO7o0ONL+L30mCT4mtztO6IVZdtRP6eg/G4QTW/AqhZuTMbGTa1+W65bWN/3Dna7Nz/I0dIrlm5IqbbATO3JHv7d2PORgEcKuVtPQsgKR42HKe2LhNIyLv+uFjWv+LtcCYTsGoSBK7eugAN4LoV1DG8DwGIGCMAMRtEpLzYs+Rfe/mXsxmr5mvt7D2SG4dx3zt1o051i1hSQWCBn+/bPgRPJ0xT8JC89ELJDysSMK4KcPj+QPS8FqGFBRUYux6MG5T8umnn1oaz2lfV7vyZRBbp/8C69gmjqiTzbrhGqMs7QAmYu3RPugN1tJiMejs7FGshUk92bmlidkTNrEF2wWZsiO2DLEFv5z+L23CAQt0U/9bNuwWn3wZR1lpiHydvp/6gSvElhJNS8A4kFnqDG6qkIBhNFY3MF99wz7JzR+S9MwuyB1LT+zVFOoO4C2e7Gfk6fPEFmVpP2SHkWEcC9N5zc/wP1OrkuQWfXU9UKnrDORpD8ZjWJiKxfpDrEW5cWOIPLrGWx56yA2y7aq1nBITMqB7WqDzhqFz4O8tLsAX36t2RIvFn6KtYl2t84qtbFKLtscmtmxMZdup1RiL/7eJLdoqRiebWsYnlTjbs2cfxmpRRkcmgGN6gYdbgS86NeCBhb0r8Rw1sO2NTayzdRbjSHtF2/6KzOxguhuzF+gX2+Nk0t1uwViKpSwMgblbxhIawcUgFIyrklucP/hDxMJaXP6y6mSOJSNVuRHT1nICuMpEhZsDRFgw3ug/sxFjalGu+BrUecRuJJVMtB31uW42LLAO24taPqEW9qq4eFyysjuBrWolLDxX3D3DZf0Gd3n0sY1ayH2bq4ewJqKvb7RERuRLdman1FQtSDv0J3001lFmfTaD83g/jJwlxiM2p/4l7sezwn7oGFlF3M06MjiKz0CMyIPOlNyCnepoOwYfa1pS0xokJq5Y4hMrMD99Ul2zIM0tR3Tjs5/E7CiwHa6vMsb1Cz/CyBjGAfJhy5gpGA+/8Jh1OMOdiC1Lzvg+Q2zZeI9BMowEh/2YxX3iemMjtGdnpLxiRqJZ3zShXtPXWcubpZS42d/Z9RRkjHadUXamlAbtj42F9T4xb7TXK7UyzQFH0zOvakBPG/wUHijECGOWOoiNq5fA4ALx8kmH7UwVXw0ayNYU3+CQXPVRAwIzYcdSJcA/ReJi8nBP9dLd3Q8/ekpefvklS9v97vY1EVtUgBQe4+BRqIxjYxYLT+Dg4IwBdHI3rrfnSQgxT/NZlMLCSUxCj7BQJomkpkaGebOg2bNYqDwdg4QElTEEWBUdQ/GZ+vFTXIPRWmRADUGiaYfcTaACXu62Uub/4PQcNdFkTOcyxoK7DCx4CHAzcxMGgIuZzuFxKS/jzuq81ECw9eQOLGAWALXDzxnZQkZYWU4oFkNu2SHypvN3LRQMgWZ0EJU1i53OYDx4HGtz0xEpLZqGkPYpy8oIEqYkrnvMV9Y85CJ+XiFSUVIt3R29MjYMkDA7L3sZrcXiu1pbi6GyrFVyBg4+gYIpFE9FahNbVLCrla+tdG3Feydiy47YsoktnpI4PDwEZ7RTSooaJCONOwtjGB/uYvLkQR5Rbqcg0tnjbqsBCRQSsuOMRrrl5BUVbhJZZs5Wn77CNbUS5cA541hivuyURKwpMv6TWFMsBtjUeEjKYNwrMV/1NfukHcLMUyw5l2Y3frXCsUgSVTo2aFhxPKnkuC6oQBRoktwauw7BPg1gt0uL4qVldELJVUlgUKa4uobJhrWe8tiarfLYY1vEc3ukJCbW4l7m4GAc0R15c9zyc1jPLOYMp52GwIo+3LPvEzybAcfK6OszG2NkOxeq5NQ4rYAoOvj8HJURI794CgeJLe7QsTh9W/NhyNiE5OTXQ77KpKyiBs5EF+ZrGoBqt3RCUQ2QQB5k4VtGd1j1eKiQudOANUsZMet5hXAz90XFu9L5mjpijOLCHBvHA/eG7+BYE1yzFtjg0CWpa9gPpTQNQ4b5stJYmftNcDcwwKPjIfcswIj7YQFGJbSpfBU0QPFifihnjAxjOibHT1MgrXXByAs7fYqF5fMLRvTY2/CoUvHxTxcXtxg9OXKbaxRkLVY8me67PUxCwmLhGJZA/zAkfVoWFhbVyfm7v/s7S+M57ZvaSGyxeLuSN1jLRs5NhBTrKVFncdOFYJvpXOYwjKMKYu1T8ugQUEaMXnsf+t4G3AZs23K5ulOPHYezwk6H5U7kFu/JBuDUlQpcSLTBFvX3PQUAvkNSUiokMJDp6f7QL7HCwu3p6Uxp4yk/C3DOCboflx46nQDd5mj3Gwq6TWSxbTuNw8md79uJLXMvZlNqWQ/SZsH54YmR3LRg6hwL1fPacbHVWoeC0VqPrfGS++7bIOvXu0hqaoa0tXXCXoyo3di5cycc7v2wz3ax+NOmWDzsDMGCDRTYbaBgg4TV3bZZq4kt2qzV6fOHDxuwwFMXB4eGAZy6MEaNkpXVIXn5w1qDiulfnFsT3cYdTIugmDV1ShjZZsaJuo/j9HkShXpYbRd8C6ObV/Sy6XbUlvGBTFQg1hmuQ1KH0WKM1NHC8fidu6JM7yC5qnXRmB6AeSMBQv3Oe/miboMFzhNTebh7TMKMEUZMSeSmWVxslfj58Vj1EFn7mKfcd+8GeehBF+i+BMnM6FbgwuPkWZOHRJ+JmLLsFPSvsQeGrKFuv9OYrO60F3yv2iY8O5+HPgFJK445y0y0t53QCDF2RprZ6ZgkADlW9nVpiykfBGC/67qrO99rE1y8d8o6ZZcbmKOjjCLZC9DWJ7m5pZKYnC6hYRGyzcVT7r9/rdx770ZxcY2R+IRGTeeoqjQ17Ej8aYkMe5MK32VHa3GudBPPWjv72HHfvD71A8sI2KnHChzw/tm5NxQ02CUP6A8zdZYp8oEBOeLjnQLbxBMaEwHoeEpjCnoSXk+QsNA0yc2pgI7qh26axHgtys9+9jNL4znt62pfDrH1l7BXv9EUsgPwCQ34Nr7vIrAQfb0xyAqxVH39PiW0srJHoJtnsI72wu98XImtAU1FZDkXpiK+skxsrZatPfDx9nFtco1SZiz5MYTICsGlnb7fEQO4WfxaMyoAuNV+0WeGv0xMRJmgrWTqPk867Ok9D/0CrFMxLcnQR9TFjEhipD6xQ2+fkX0SE8vE1io/1PaPeT36oYoxlZT4ufqYfJ+J3KKOuQ7d/qT66ukZ/RITUydBPDHcJUoeeWS7/OhH6+Xee9aKn28IgHYF3tsL3DcJ3TCP71mCjDJa65icOHEKtuqsZsJcOG8O4WLAwJ2w1Wo7ZWMtG1/ZxJaNr0w64hN6jb17mY64iOtPQB/1SEVFM+axRXJyB6SoZAd89iX47Aekte0UxvCCkoQkC02KNoM9OEb2JoyVUkoMwWwPC1+xr+Bgq6/CEho4QDwMvcRi8yzQzzpYPH2Pm2utrSc1eIGkRiOwHqO2ensv6nwZgs1gPa01jfXJGp3Eaabuognu0PWBvw0RCZsA3cfUR2I4cgI8hbqsfEZy8weArVqBrcrEPzBFNm/1k4ce3ij33PcIfm6QTZt9NUo1N7tXGmA/GcCgdbiVsHnZRI/hXjSNlZvgWJMaLUVS1D6JUO0Cuq4lYEtr/fKeeV+MLmZ6Jzcy6fv1dJ+V5uZDWE+zWmuZ2K+0bErljgXXFbdoAAWDFjAe8COId0xwAMcCdhryuw9zc8CSL449g204F58jthT/wq+wfEXeq8F6xi/TQxrw3UoeT0HG4DMMDD4tLe1HpaBoDFiny6opyqABRoWbqEiWeDHlXYiFOWeM9PsAc4Y51/vknAFbcR3gnnfv+QnGkCnQtJtvqQ5h8EEd8FoR8FtGZp/W3WIdY3IWru5x4s6DVrwSZLt2pv7Gwn5FSVhICvB5vXTDVk3yAKHFeXnttd+/HuTXU2OLChBCZCZhFailU4OFQmJAC1xD4bBOFUPQmeLHkFnWLWAhzMLCHVa0FgS4m6cTXcNCYcHvV6HoGLVBYsuQEVR0/H4ltjDpKsAQ1DsRJLpIVJgp4ATlXNhkbbHQoCypECgADPGlQuVJHqyB1N15VplqGoqy0gVp4I64gu+ndBEzRI/OvoIcBd6sgWGz5obQojLWIvoQ6N0A4WRFCTBIbM2xwPbEc8JTGurr9kpB3pikJHdIRGQ5HJc02QYH1NMtSDJSc6WlsQ0GalCmsCCW4Lzs3bNHDlL5wok/efy4PHGap3Wc/Ryx9UW7CrbS/SLFy8gvKl77dEQSW9PT01BAg1C+HZinFsnLbZfCgmmpqeZx10ZwaMDsaC0aNj6nRrRBEJnKRgNoKxYzZ0awl+dsWbg5Z5wvs64OrSK2OPfGiL2nyneaO8Ajz2qqaA2c8/KSOaku3yXNUMBd7adlQE+y5I4800dfs5TeqogtJbZoFIwTqgoYipDzSMFm2Cd3t2YwXyx8y1zlktJZzTdOTGyQ8PBC8YIAb9zgC6O5TR5d4y4hIfkYmxGsGdYqYbE+Flo0NQQmSLBR8S0asLlbD0Cg4bbAMcfGAk136sbZMLLGsTTElgXQoaxIzI5AGTMPnoXqmQZZVNQnmTmVkldYA+PRDyO1U4FdD94zOHAVRsGc8mkUsp1y8mOMBQEwSS2LcKOxtBydZQNpdXNvNrllyAOjiCFfGGeOOZ97YvJF6e0/r+HV5eVLSmwR3DW3sNi/SUVkSO8454vyRWKLBhPzZRwxpvwS0BkSkt/Pzt0gHQeSWws8NeRFTbHkjkVJ6Q7JyumT+GSe7lGsNRbWbwyWNWt9Zd16HxhLb/HxDZbcvCIYcYakj2NtLWDuWcPuoPzH//gfLY3ntG9qM6ciWg4C9DPlm/JPQKoOOGST0TskBHgqDNcka1YxAopRFUp+WIQ97RnTbG1i64vID8oC9dpqYos67fb38bPLTgvWNx0r6k+mRg4NX5G2tqOwk70SHJwu7u6RmrLO2gbpcGCYIsVURJI1LZAhbr6QODHRPxaxxd3LnWZjSHfl4MAYMu7zxJbRKSsRWzpG6oAy7P2G7ozSdjPKODmRtbYKxRtOzMaNvlp8Ozg4EnazBrZgEONlwALT5u1oLdoVElu0MSSkLqLbJBU7bdJqkLC62zZsNbFl19myiS0WkScZPTu7A2MwLB0dXdAzjZKZ2SIsus3IGxLpJCiUSBklmDKbDRxz1iKz55XdRGt9fm6p826ZW/x++3u41pgSxwhg1oMxNUxu6jWZQsS1VlO9Gw6yKSBPwsSABaYJYJ3prjPXmbFR9j3dqatdtJxdrlMCO65hRgEx1S8Jtio0NF+2e8ZirvzlgQcYXReo66iinCddHbHINZ5kzI0gOy3TEDZ00Lke1O/Cc915va90riPel02M8rsoZ9z44uYgyxaQ0OJaMkWumdpnr1mTgsjr2qQebdCdrkNbqDYRsnan/7Ov9kf5nZRfPt/w8NPS3r4H8tMuKanZEhkDR9zTG+vYRQvHh4YWKcnEKG1G2OnhDLRRLEnBdEnY2ukdrwJMw9fB3Nr2yfgTq6PLbgVTOi68FwuM0+5Sx1DfsMYrfeLU5DZNN/T3S1fieOvWEPQggPNgTYnx8YmUnJwS3A83YaYUHHPdf/bZZ5bGc9rX1b6siK3VxBbtgxJbkHFGHuoJ1Fgz9HtZC5jR7+w8Xp+RoDaxRX9K/V+AX42GUnvwjgJ/YhaSDCrXxCqsaYv1epDrFXLDbAnTGTjADt/P6ozWWu3n0X9mFD3rPJF445omQc3NGeIC1rttaXtcqmoXlRjIBOZj+iQjjU2dLcrUVbPxCxymfjpkQ2XKwnskhvXeLFmy5Zq6T4l92DfFmtMvq/1j5DXBfUpKp4SHlepptBs2BMhDD22VzZvcdQOmublFbRXxDYlhRhbT5zt27PFlYuupp84rsXXp6ZXaWn8oscXPEV9xI8dEbJnT5/fu3QfZXdAIlp7eXqmrb5GcvGZJz+yUPJbpqILeaebGx5PAnUY3K/mHeaSfYHCMwVeM1lJiC2Oj83abr25wlYW1LOKE5YNM+rg1h9BLDNRYhA89M0O/6Lr0wy9icf6qit2K0VtwPzyR3OA9+OmTNzUlUtP+9H6IqwxJwvlhJwZWP90mtuinw9byAICJyRekHfagsmpJ8gtGtTRPfGKNhIbliIdnpKxd7yF33f2Y3H3vJi19kJXViTW+JB1tp6SP6XWDrG1l6nDPAC/ME98phjGkluLOg1g3ujG/yjZY62gZq+AeeZgC0zoZ8cVotOGha8BJ5zQCslIPJxiXPPSqKmIoBnSQcGTZJG5KMYLtVmLLEEZ4do0WWyGODcYj/jXzo3Oyqhs8tcKp2PWmSTrRFvO7aeunpqyoSODLju4npLp2l2RmMQtuQH0dzYZpYTaMOaCBxNYUsN4s1o9mwvAed/1YA290jqAHqAuUjMSaWiEieTCYOemUJymSMGOKampal0RGVWotOxJbm7dGyAZN9w2QTZv8YbMCJSAgRnKySyGPPPSO2Mqk+77xxuuWtvvd7asltngqojoVdljjrYCW+bTKos+/IZPTL8mIHvl8AQbc7E5x59ec8sKjTVn0+6h0Uhn38OhX7jLcwGI1USSmiLURGpvY0vpaKsR0bgzwp8Aex8JY3Y1g8/+2EJtdaU6gsv3MXV8C8J7DfU4xtA/OFxYrT4Ag4VZQwELyS1CCuL8us7tAkoOTTIefqVbGUKwwxLZAs++BgO8iG8w0OgCihUVzchxT6cZGLuOZT+giTE/r0dMNAgMzxQsCHR2RDGVSJ53t3RCwESiaGSidJdnHUFko38ePHvvcDjiJKTsV8U4KeLXCZSfxZQMEEyp7UXcUqHi5w86ddu64U/EODPTDEeyQmspOKS7sl8qynRgjplKcxpgwRNak6zC3noqBZIZx9jgmhiChkHIObPLGzA2EWYHfFxBbXFdMH8V80QjzO2n0eJgAo3rG4CxzXbF4OEnIspJ5qYMCbmPUFhx8nlYxMnwdz8Ajac18cV0aAscQS3Q27d0Fnn5FBaLEFpQIrzUHoZ7CGu7tO6c77Xl5Zic8KhrOZ0CabHMJlXXrfcUNwp2S0ob1sqDRDYwA4XGqCjS5awbFxxoJBmgaAmnPKmLLPgKWz77SMRa6U7biwHNMuCtOY0TFw50bsvC8Bkm0biW2TmAc9khJ8bim+7KXlIzCmdgLIPUEnoXHy1+XURqFZdLPiiLDetV7oqGEvJgdoBVDuXqXgfPH14wyptOD+1MZ+8WysdCTcvD9UwR249elB/NVU3dQyit3qkGrA8gx6aw0EiZ/X3fDIZMLFihfAQ42CblqNwivGSVshaXjc9y5I4DizmAeDGZSeptExVaKf2AWFHC4PLzGQ+5/cJPm8cfEJsKBaMV4jAJ8zmKN7MR3sobdEflP/+k/WRrPad/URmLLOOBGh3CNc00RRFOPU2YILMsrFrEedynpwCgSE+J+dXk3jgBd6739HsQW5ZhOyi3EFuTj9vfxs+a0XuocQ1Kr04L1T73BHUPWImKRaHePRAkMzpPo2BpJS+uE7RwC8DYpdrRXy+l1ViSS6jw6MdyAUZ1HMGPu+wDumzrHJm6MTrF231WeYBsxRobYYl0XEm3P6jWY5pue1iGRkcXi55cirtB/Xl6huJ88aW9rx32vRGuZ1I4VYotpg19EbNEm3Q4UVgMG2q7fj9iaxT0MQw/2YOwAFnIMsUXigNHXdmSbibqxCEtGCa0itjgOHI/b54t99bya6OLPz6uShJhXBV4YdxI8vI45eZNppie0BgZTTpYLkg+aDRA7jVRPVlI7QRv1z5BbXNPcoFsAqMTnOPdMceNhKqy7w4LjPLXS3w+2ahuczw3BEhzMY9NpD/bBQecuvInW0gMSVkdN8fp00KF76TMZsuaLiS17Pauc4Z5IUhk5e0mfj6QiSS3aURM5t+p0QTw31xrHitc19UlYS/XOEZFM8bXBgG2D7vQ+BQWW3JsxMrayv/8p3Ms8ZKlcIiLjxNsnAOMTAEc9RVjPivXk9HAG2FH1/zBHJOHMSZEsScHDBmjPeZDESqSfWTuf1wtm49eSdYwpn9Em10kq0p9iSQVG0SXE12kqood7jGxY7yOPPsqNM1dxcfGT5KRM3E8b1jhrrhIosObqQfnFL35haTynfV3tyyC2nnjCpCKaOqaM2GINK6wX6PAFyOUO4JSRIWKHk8BRU1i/fZKdM6LRu1q7j+QDsyiAVZbr6kC2mKY1Nws/bxlPGbnWNQvZNqlaANJYt1y7un61Y/1aP7UIuUZN2VgP9gLrfjdknZkDy/LOTWeNJrkCYH1BD+uoUeDdq7aLpLtuyCwTJVYZE/iiJCh0Q1N9dJNVwQwYW/fYckQ5o26kXNvEFiNeuQlDIqil5ZhGXDICkmUntm0Lk/XrPYGxwqSktAy6p+uOtuoWYsuK2FohtlYitm7HVna3MRbxFd9LUov4arWtUmJr315g2znovQnp6++ThqY2KSxukYzsTinAvDJaqw1+SK+eTkuCcpUfQgJn2TbcTmwZwv9O/rrx2Y2uNMQW5xO2Cmts2VZh7EnYM2qLuq6b6fMsz1OxC/biIGwL7QU3hsxJlozaWpyz6imrn26nIxpdaG9EM9uCa87GwjxFnQXr+wcu4ln3ac3drOxeSUypl4joYvHxS5RNW/zhp7voZnRsXDVs2gzm1RRs7+9nhgeL6N+aZmt8HLMxzzFhOh9xCbOE6JfZpBG74QN+qaSOyTAxJ5CSe2CJFgYANDceg16eFx4sV1DIgA6TxcWabkpsQRZHx2G3GRUJjGnuw46mg322iS1cSzMH0Dn2q8mt5a7zAhxlz42udVMLTX0ynR+sdcjxtBJbL8nA0FXp6nlSmloO6Qnzaem9GlVVrXaLG55PWRFb1vqhb6HEFgMGoAPoW2CeVP7ZD1C2zTUVw3HOMK72SaTE20zNz80d02LxoaHF4uWTauGq7XKfdQjL5i1eEh+fLg31rZDvEXx2GtdcxNzslTff+v0POvnKia3Dh8jcY3FoQWkzGGYBc0eKTvE7mOjXZHzyRRkcuYJF8JQuyorKReFJRekZvVqQjGGjjU0spPqkCow5DdFKj2JY/h2ILXUcsFBYY0t3EjRq67ZFYnUDui2SBPe5ohRJOMG5WHpXiS0WGefkD/RfhAN2AspvTvLyxqSY+ao8xaPtpHRbtbZ4ZKmpy2Huz7CfZKuteltkQNH3sDbUXiyMPR9CmN/DmLxlEVsvyvgoxqTnjDqXBCkELIHBmRIQGCeZmQUAWC1Qvr0Q3lGMwwyUxk7Zh0VhA4UvIrZuj9qiol3dVyvd26O1CDyYhnj48GFV9Nx1Hx0bxX10w/Fqk5KCTiktGpOaKgh3kzn2up87vVY4KBUMT17hKRk7VcmtSh2lcYSwci5uidhapXTtnQWds1uILeOcLhNbAH80giRBCBRYoJLriGQk2XUCvU7uzJMoHcR6ggIwtTve1NRTQ26Z+9P5UkLSJkpMjSg1mBRo3cF4FddijZSTutvEnXAWdA0OyTEnrLjHSngEj1se01P+mltosJ/UAoljUJCsc6BkzTKxBSOwHLHFHamViC3Tqdy4rq1uE1vqXBgQSmVkE1t0WkbhrNOgs84U0xuogA2B3Cs5uQB2lfNQfkekE8CuD4puePQFGYNRmJp5U2ZJ0FpGgTKmgP0g5YtGAfOlxJaRpxUwYXfKGPtK+KzWDsKccTdgAeM8S2PBewSw6x+6Ii1tp6QCwK6kbF5P3tAC8rrL+IwhSfE+HkBg5uqfI7ZW5oz3TtKBuwszs69i3T4rrSwAWTYn6QAp0fG1WuzQ0yteHtvoLQ88slF8/UOktKwCuqlfxiYmsa4WsG534/kPYtyPOsTW/wUaia3Vck1AaaeGkazp6jyra5DOgKZlKdFwFgaczhtTdV9QksikiLFI9CpiC+tP7ZDlKNmdsmsIENOV2LLkY3WnrKwuds17mycJzF15OLIkxtuwhnNyh8XXL0f8A7IlMqpCkpNb9bRROoOM2iJRwPumPtbIG90cAlCYMhG0tMX8bsqROp3QyTahzntQB0qBiiFKCLzpqJoaeW8o6cCoGjqUjDLKhjzFRFdKYEC6FiePiUmR2po66etlFMkErjmL6y3BXu1TW7Ka2Dq/mtiy7JTdv4jcot1aTWqx02bR7p21amzxOgT5dup8e3sXnLs22PAu2IURBX1MgTPHlZs6IdTJBGIc89XEFuf1CwkVnVNjq+40p+wG+MFmEXhhzJXYmmVtyJeVLCWhw3FkfRzurPJEJz19c5lcMnU8P2+nLDJrVVfSRq9h0v54jZ6e80rIMHWe0X2xMdUAdLni4ZEk273SJCWlQwstayokC9hbdUqW0xAhHyQ2uWa4Frg+qWu/aEzsTued96S+FcEmvodjzJIAHHeSxtVVjFQzKYiMVCMRy2fWE9H4zBgrJYoUtH0RsfWb5XmwO+XNBgSru9pKfI9do5PywHp5jEig/1VcPAAHPFuL6Xt5xUoYT8ZNIhk6qEQTa2DpDn37KR3XQYIEjBUJQJUt+H8cq9X2ieQe5YrX15/6O+yiJWPLIEXn7E19fo5Pdc1uyYOs8wTEKI3gT5UtmwPlgQc2yn33r5WgoHDMay30gqlVwkgTRtZz7f/yl7+0NJ7Tvq72ZRBbp0lsWQTSLWsXcjHHaCjWYBzgsfxHJTtnWJJTumAfDLFFwEmyqJMpfr08QY/gn6npZgOTaVYkn+gz0j+n/0jwTR+dPh+vR19UO2R5uR80nT6hjfW4zql7GK3FAtQ8CY6Hn9AvJ5E2AizVbxFb3LhkRElOzoCkJLdrlko1/PXmRgY08GRYu4A8N6BprywfWf1Ri6TQU/7MvZmNKmJNi9giJiCxBb1JsoUpz9wsqKnZJelpnRIczMNOIsXNLUBSUwG2G+qlr591IEdxvR2Q39XEFlMRia14GiKJrQtqa27HVTaxdae+GmOREFuNr4jb6FsafDWL5x4BVuiWmtoWyS9slrzCfikHRm7UYAqWMjF+CO05x0drBatdsIMp6AObeaOuIU5QzGDhYerJFVILv6uvbm2WW9F3+/F5s85MyRymoTMidWz8OY1SbYJvUVa+JGUVLGp/RGujDTAFT2tLvaJRW4s8dAo+Aw91ssktri1dI7RRuFfNXKLew/3TNpgo5quKl4qKd5hsmORGiYotEz8GDbhGyFaXaC1MXlI0Kg31ey27wQAYRmvxJOGbumaIFeyAAcWcjNaib6b61yb72FcILo6XwSqfLRNbzFwhQWr8HW5+HIIPwQCBYSksmjaELLNM9KRBnr4PGSN5PPWKElu3pkPSZjPjyNyLTRozqk7JLcV3VvCC9hVSi/dtBwnweRhwYCLqMHazK8QWA4F4H23tj0tp+bykpPaoPqB9t09e1mwYC6Ob9FELV2G+OTfEkhwvlW+Vd5JcBltxHtW/WN4UYobDOdjxPZLJdN/oGs0kcPWIkYfXeMpd966Te+97DH5GAOa0DD5pL/D3ONbtHNbXLvi7B+TNt9+2tN3vbl8psfU3f/O/4+FpqBkqa4qwcQIpaIyC0nQxhoZCOEYnnsfkPwMhPa27dQzvzsjsl7T0Hg1pY9ofC+Qx5JKRJHpC0G3EFoXNdvAMUUI21hBb9ulxKsgW+F7uFGCSJNYipvDbu2YqxLs+kHk4OyvE1gtwXC7B8bSPj2X44YTJCW9myP5KFI5JG6AT+A7u8X3coykeyjFQYSZY2YfFSGLLItDmF9/U1LbJqRe18Ftfz1PS1npUHaj4xEYA72yJik6T4qIKCE8bjFMfFi9P7LiV2KLypYIkWCCxRaVJ5XnJUsBUplTCVKxUsLd3Kmf+31a6BAj8Hn4fQQivQZBgCscPwojCES5rksKcbinH/NXXHpD21pO4f3NcL43YxAQEmyTJamILQkHhMMSWCSXmXKxWvCvkFn4uEyX/HLHFCCC7Fg2M/PAV6QUo4ImWhYXTSm5xTdFp7+ZJIn02s2/yi6l4jBJcXXuGxn2FJDHEllnHSmzN0mBiHQ/QOT8g+fkjejJZSGi+ePskK+BMgTNaWjYrzENuwdh0dz0lAzDYq4ktRn+tJrbsGltUJHxWKjRb6eo4cV1bnc48lZ0adsgb1xeVJ+WDTssIQ4cHL6kxJFFEgo/rNytnSAqLJ6WWeeHtJ6RblfFVvP8G1vxNrP03ZY4Ekj0eSrZxBwj3A/miUVClexuxZXczXysFss2cmVQcEluLmLM5OGXTMD7jkLFBgJwuzFcNnLDC4hkpKp3TIpktrafUCdJaAla6r9Z5gRGkweKzqhJeJiHp3LCvzBnHlemIesDA9A04BRc0IiyvcEISAVbCI0rF1z9FtrkFo/tKSlqmNEHOBoaGIZM7cL1FfM9erFeH2Pq/SiOxxXVD26H6Qw00T315QZ1GksA8YruwaFLJD+oNLQraz9RYEg02sWVAAdPPb01Z+4Li8ZaOM5EllI/Pg26VE3UeDDlh12MyqRwv6iYKo1wYfRMWVi7bt2fgZ6kep5ya2iHZuYOwoTxddCecPlNEnvWjmPZPZ1iLhVqEweqdeiNHBszwHvjTPI81TnSgCKTU+TSHvwxBLkm+EOTzxKSE+HoJgPMZEpwi2VnFwtQOBdx/ALFlA4XVnfbpTkBh9Xv4OX6HXbOEmzG0WZo6PzUNR24A99Mh+QVN0NUD0Msz0NuHdCzNKUaGQFKgQCCFNbEciYex4Zww9eX2+WI3OtDoQlvn3d7NmJqj+g2BYRFbTJWB/qMPwaiqcswrAWkD7q2NNUOw5kw6oInaom9BgpHfYYM8e92x03atjv4xpM3LGlFEIoYRYSyAHhtbB+ezUHx8MiU8vFyjjknism6KpthZ0YlaSJ82kmOiZCg3O0yNLWPHbTt1+3o35Cj1sr2WeT/8Lm5SsM4k5YrXpG1m+mO37rrzee1UX+52m+hCJbYsu2zka/W12D9PbLFT3m5/Lx11fo/aB4wlr2EcdHOseWPjLklIrBJvryTx88+UiIhK/N2sxDF1AiMi6bdyvjhWQwPm5NGVyDqsHXzv6vlZGafV92LZRUveac84b9QpSngOP6vrk2U60lO7JD6uVoKCcsTFJVzWrHGRrVs9JDcvH+/phD9jovh37zYHM9BW/frXv7Y0ntO+rvZlEFs8FdFERTGSxor6pHxjnRCUTjASCuuWtX8YnWGIrdFVxNYx6dST0C5A7i5jXT0no8BTWtoFn1/eoFnWK6s3dz9TgLvSDZHE9axEAf9P32uV7mGqNU+t5qEXlCviNuI3EuUsWt3ZdU6JrZra3Vi/w5KU2CY5WUNShfttgs/exhI0jDQGpmJqOMdrDj4co7ZMZoUhjOknm9rFwAP0+fYaAl1tuupX6r5X9dqs10pAT1+dpUGio8vE2ztWgoNj8XcRbH4TxoaHLoypHDFiayUVkcTWCQ0aoH0htmI2y+1BA8RWtEt36jbGIr7iZ+xsmNW2ateuXdCPOxRfNbd0SGl5E+x5ixQUjSjB3dwKP6TbChywoqMUE9OW30ZsfT5iCz77MRMRpH664isrw8IitoiZiZ15QqIhtrhRTh/6Q61zNj2DeWQd46FLGp1UVc0TXBekqpIRS8c1pZ4+wcToizKjG2jANkpumQ00Gwuzc42RRNETCLHuVmwVN/CuK2bREy1zh+GnN0tEdKn4BWSK5/YkYKxCycrqxnXnlQjt4qFXWFembAnTEG+aKD+sAa4XRvrux7OwfpZuOnJMiGGUIzDdxleMntI6dquILT47I5s0+6XrjPBU/IyMAWGan0lN36vlU1gfztQ+M3VNTZro67gXc/r+SrovsSXlaoUw5n2pfTgMu4B7Y11lxXeWrVAMtRytxY1PytrH5tRCHTsWuYdfBgzHQABG9bV3nJDK6iVJy+jH/fYrFuXmGcso8T5tIpCHT5jDWWCzlmu03UZs8VAByhpe5wmXu/E+knUmko/pvuYgHB6Al5raqacievsmybqNvnLfQxtl3YZtkpiYAvlrgixapSkWzEFC+yFjb73zL5jYojCQKeaJdxQKHqnJ0DaCS+aZ0pGbYDgjHOxeOnIMv68maz8iScmdkp7Bo01JQjAsnTuHTyoTy4lSdtoGE1wkqoTt0FQy+CbK5RDAN8NjuShsssREj1jCC0BuO5+cMIYd2k78amKLaWpMFTPE1jNwus7qriIZ2kwoYeZr84hac/oUC89exqIC+MZnuAui4YfK0n6kyp4KlwLGOk6alol7n9/5jjA1UwvVT74oPDKaJ5t0tPNknCVJT2+DU5UjKSm5UllRA0ewDePRp2znHIDCFxFbDG89B6VJoKDklpWOaJNbqwEBu01oUeHaIbJUuvZuAr+bu4BU9lyQfX19cIDbpTC/UQqy+6SydF4NUieLvkJgWFiYzD1rNa0QWwwltolIY5BsYotzYYM+myy5peu8mQglFfDlVMRVoZi4xmpiizu/TD9k9EJOzqjwxL0Gpkq2Qfl0Pw3jwbptJg/ahK3euhtudqRXwII5mhbOBNYGCVqdMz1e9Wms0xMa/ZSa0qGnrvBIYdZHywHIJACtB0hpaTkFcHxOFfCoKmCL2MJ3LRNb6giT2KIjTOLPGCaj3Kjkbu/cxeNpHiRzjFEnGUWiTnPCAYi4u8LUEtYvKClmPbARyYK8leG+GpswHlTGDFFXZ+dlc+oojIJN9O3WKDLKF+4HBo+Kd2UHyMyPbSS1W8QWO99jlDIZfxJb0AlQyDvxnHRSuNPE03kYot4HGeMuUGHJrOTmTwLgLWnUZkenOcGDTg6JY64nyv/KXJnQdAIodXCg9BUo4DqcM4avs+YJ0xF37KACfhZG84xUVO3U0zwY7RIQmCFePlESFhEH4FeF//fgeqOYnxlcCw7O3n1YcwYsOMTWN7/94z/9d5U1gkhTzJrG+RXYGRM5Q0eFBXh5uiqjZ0l0MdqS9YAM2KfsWifJWLZoNbHFNbgit3fqxon6/OsrO/Kqc7C+bWKLO4aq2+hcMboHgIVRonqks1+OREVXqQPINc3TEUtLZ/AccIabGfl4WjS1zLp3kiTUlXSGDIGzUrOOsq7PAedFgQpe4//4HsqdqZcCuwjn074X7gISfKeltUH/ZUtsTJaUlFSpveqHrZicmMAzzCnJRGKL9upOxBY77dWdbNQ/1/l+fk6jtWD7TuopU0cVlDCCZQz2srurDza1FfqvWVismOUESGyZdDIrtWNiFbFlRbQxfY7jYOZ1JermD+uwWdR/1Etqs2BHoJNYukCLl2MsNbIW98KaOMUlO5TwWS5qfxuZaiKCeG82ucWNM3SCBvgaum7oc8Em8v3Um7wGv4s+S3bOoMTF1UtAUL6EhpZIclKbsFA5170SW4zuYLoL1wujJrBejN/FtFsDFugrcUyMLV/ZpLI7fSv+T4lRBTAmWovkD/05rklGPrGGHSPJGFXC6MLlEwYtkojPoM+qz2kRjPjuz4/xHSK28PediC3eK++da5v3xfHktRidxmjvjo6TGtEXEFCgnQRyXFyjpLGOHYA4AYKps0XZYn02e/PVpE5pBIUlV7wG79vohFvHiJ1ramVdfKQgUPUR1gXHvh/zwLIK3DhL5EZnSL54eERpimRcXLLU1tarTzhhyZhdC9Ihtv5ltC+D2Dp58jeqPwg0SVrsgTwxDVGJI/hrE7pOzgOf7JOU1G5gqY7liC1NRaQf1XYa8n8evvszCmhHgGs0ags6hSfZaa2tZb/KRGUqSUIQDixnbx6SMDFkEv0s6ET6yVi7e7HOaQMZqcjahFo7WPXbTdUfXMuMmmLplo7OsxqRU127B/LEDeFWyUzvlTLYrHq9X5OOaIqjU++t1CqyCWPiKPp4mgmj9hL2ioQJ9LUhq4kHSKLz5FVGOj8DX/e0NDQdhG2cAqZqhO7LkMSELOgg2KrWZth3c3LvzMwsvmMnnocpvSwef1TJJxtbERvR1tyJ3CKBZRNZ9k87E+Z2jLW6vhavw1MYKccMXqira5P8wkb46h2wB1NSC3uvm1TAhxoZhfHUdFKWepk1EUGGOKEtYE0/RmwZfXPkqNkcNyQOgwfoo9t9FS4mmWJlXN2J2NqBdUucOsw6xriPhsYjUlK6AMw+D3/koJKn/T0XtC71FA98mnpN5maAb7iBxnnD/ZEQ4XcaEp/+DdYL/r+AtUyfZHICawXzRRzMmri5uaOSkNgkoRHF4uufJf7+uZKS3CzFhePKHbQ0HddghYF+ErYmAonF9FUHA3OSAN67+xM5YBFbhzEmR6zgFxJbBneuIrYwXkpswaYxukqJLawlEqxqG9pPYp3OSXJKN3yJQTz/jNrsZtgvc1LleWH9Kq1/BnvCKLdb6sTtpp9Ff2JFngxvgbliB8bSjvswtoqEFu4JtmM/N0Egd+ZESUMgL0HWlOAGLmLx/jHItTmQ5Tzmg+TxHi0en5zcqZsy/Fuzh3Sz005HhF+B8WK0sJ40D1mmzCtxjXs7SIxJzK3EFuQeskYCzOBuE8nHVH5uunKNlpRMS3x8HfyLDNnmGiLrN2+HHQ3D62XwLcwmDNMQWU+OUYoHDx2Ut/+lElv/4T/8VxUo0+3dcKYCWSGpZPZorMeh4IbNka9NzUegfOc1Uis+EcqNRc40jYK7DNwNO6vF6jQ03XawZl6XRTo7mFBO7B6L2KJzQCeBRJVhQA0IX2E/fysswGg6hHd5oUCA8VllZ+FYULErCYfr0LlSpQjQTaacUS9MR2QOu4ks26UnGXZ1noZgXVSBnrQYUHVAcZ+mLgWAD50cOqJ0Ond9IExDnF0AYJm5qUDDFFY0QKGl5ZjuuGdldkhcdK5kZxZKbVWttLW0YjwYsTVuKd8lszAsR4bKd3U6ol27xCa3qFRXE1y2sl2tcG2AwAL09m4Cd9jJrNJxGh0dxVh0SWV1k2RnN0ph3pBUVVghju2noJRN8Tw6p5qKyB0hLH47LJRKjYw1DaMRGqN8FexhjkwkELtROHZnqKYKOd5PYkuJHAg3nUEqDArYMrEFwMUdZ94Pi2lmZA5olF1N9V5pbT6BdcWdYUOWqDMKMEPig2CGu/TGieZ9rhCR9pzNLzJa63UIM9fydTzrJRhh1gmhEh6SiIhqCHERnE5GBozrrkN9wyETfdRlrsuiwDaxxVREFo+3d8t4XRZatHejzFrms9t9xSlWhYP3KHiwopPUAOH+xlm7hfnwvU/pbgJrBTEHOiNjUHPDmWrF4vfcxerBWJHYGoMxmuRuB3fwVkVsmfRIKmBrrpTc4ryYiMjV0VrsNomsxBbey2fQ+8Sc7cLzMVrRkE3M0WZK54uqZLVoJGQqO28UimuH1DWYmgJmd4HFKVlry6oTRCdnOXrATvmAk6OODhX/J3rvBkQC4M1x55DREdfgwJxXUo/FKWNjaiQ4KBNzFivpGTlwKBogg0z3HYMcz0B37YQi3485OKwy5hBb3/z2j//43xUsUzczcolglBFITNkjicVU83ySqwQGTDlvNcf6M+pJ6+mozrBSw1S/EwisEFsGfN+aLqVys+rvz3cL6MJxMPIM+4nv1Z1MtZ10HuBUcvMD8kDCqqhoQvx8c8XTMxXgu0SdibS0diXUC+2orYaD6mwsFwO3dM9KBJAduWVFQCugMc4nnRyb1OJ7aNO0Zgl0CyOUmZrJ9G4SROUVTMfuksjIPElNLcS16zBuHbjmgDrresrUKmKLzjzti70LfgE2h7aKYIH26Hby6os6bRhtFz9Le8fv5O46bRavxRMRh4ZGMAbdUlzUhPFp1nRskiordZKMfhlVnWxqL3LDgaSijonlY9AZZZrC757LWzt3Y23C3fhFjNgyhKqxI8ZmMSqQKfOMfuMGH3dXGWW1TJxYO/S67iywwDXCeTK6jofW2PNldsA5xyS2+HkSW9R7PD4+Ib5BAgMLMF9VsAm9GqHIVHWeKNyuxeuN36V2HJ83JBM3f1hA3loreBZd8+p7mbqZZkfZkDX8H8dO1zFAxg4AI/o5tM18Nl6TMqZFbZuPafQfx4Hvsdcnn4N+nrHJ1gbLF4y/brLcZovuRCCvJrb4LLwGr8XnpHz19LDY/h6JiamHfOXpOMXE1ukJbtk5Azo/rAVpouq4sck6W4Z81ILBq+SK47SaGLXHyHSME9YU/6dgbycjXWDDuftu+cqMICXRVlm5AEDXosene3rGAOBFYx2X4vptMnTb4QwOsfUvp30ZxNbxEzYBCttAbEVcBXnSND9gjXHIKE9EZJodAWxikiG2yoCtKFuMamlve0L9TxJLJIwY3ULSiD46U7dmd0C+Va9Avqn3ILO8Dkk0klY2eW5q0FqdfhfkWyNHIKPUl7wvEyH/Jr7zNa3/NQnbSrtDH4++HH1ObmJWQgfnwGeOjW3UVOgSyFUd9TJT29pNTTDamQl8nnaHkS+KIwjo4UNy05V+3p498Pd2w1enHsR9MxqWBw0RD5BcYKQY6/7yUA4S+yUlU7BRTRIdlSvpaQVSVVWtxFZvX4+wzApT17khwggq1hVmrUZuxJCE+iJsZWOqL7JR/L+Nr2jj7E0Y2qojRw5jPIGvmIYIfNXZ2S0VFayDWwd90611/UgccQ4Zdcf5s0+0Wya2FkwWgx0RZKe62brSJm4MsWUHDVhYS/Ex9CSwsn2SOQNUSGoyVVBTES1iS20J1g7tA+uQstxLXu6UVOEnCVQetMY6xqxNreQW7s+u48aUOeq3nTuNjaLPwfWyCLsyR0wF2zuJzzCjhQRZI2xEXvawxMc1SHBwoZJajJ7N0YNfZjAmPGwE+pcHXw3SVjEL5xXMn9G/msJOMg1rmBGFWkfUIpHsDXp7XIgvOU4Gq5hNKI4lcRnxEG2vOcH4GHzDCZWznByzycEazs3Nx2GrSWwxKtLClrpR9orK+3KwAHAkbRn5Bup9w1vQFljRW7g3g3GJ+xgQgPvBT+UqYC+IbzTraw9sPfDPIrANZY2cAyP4aK8ZNWcCZE5B/vdCxkYlPqFNcvNHgfsYMMDUUR58Qr/CHECg9aZxf0pqQ654WNgBxaAktKB7tMNW4X5ph8ntkCux1wU3hVgySk9KxLykZ3RpmRd3j0jZ7hWK8cpUbNXT06tr3D6g4V88sfXv//0/qHHmYlAjTecNi4JpUWQDuWg50dwFpGPTBhBLJUMnIS6hWTt3Eo0yXgmfZWrbkBIlz2HR3pAZKCsqLVXAEAwSRbaDtRK1AaHWMD8uEDKghhRQ5pMLlwuFixfv3WNPFO550XLA6MCpUoQQM6SQZASJLbKyJtSuR7Kyh5SE4865nuTDnVUyoBBKO0SU5JjZ1SfBhfulEJNhxe+8BgkSQ2r9/9j77yDLsuu8E42YeY8Gpn11ee9NZqX33ntvK01lpc/KzDJZJsu7Lu+rq7036EY3TAMgQAICCQgERSfQieRI9KKkeIoxTxqKfPNG76/1vt/a52RmN5tCTEQHWj1RN2JHupv3nnv23mt937fMhrDIWBwixZN0WSLgIgr1e628pMXamjttcGDPvLB14pReP5BuUs8xvgB5yEIcWSASHhvgOLqAUY0N8cIRG1sMdRC13nADjtEFIBFNgJRg8I/OHrWJyb0CxwNavKPWoc2yx2vjcUYCxNpQR0jFZMNwH86TivkD3wAu3rCpb4ZyxBjohY2MYBLELc/Oig3OszEYDaJWyLALqZgYCAwkBsPXmOYMcBkLW/u0scl885MhGmZ97kaG7tveyZCWPS/Axf22UPkR4LjO3wxZWvqKMfJTO+SwEaJwspykhCp/BHK3T+Ru5I6I02krKR613Bx63kx7I0/KFmJhixTsWFDzzAkZvQsXZYRJs9bacMeEs5bhCmKtHFSUskqJrw99/hgYB7ATRK24hx0N1jl1lKbshwSKp3RtCESQ9dq6Q1ZXd9jLM/fQrJe68Dlh6+vz6ekCTGG+QoQB8MDecgVfczCXuUW041nErTCCIBkELUacYeeOIoo0XNO1xllUl2JhS/cCUZdMquHRu9bcdlLjhPfcGqU/xP44/TqKgmhvuXCsa4yFSPr4xeALp+H3hLnT33keRwnT8B+gdMizRbWX+y5YZeWo5WQ3WW5eldd/j4/vldM+7OLx+fPaY1fIinwgbP3f6YGwBdAC/ISobrDzZIwQJaQsq6PjrGeTxMJQfMIg/isAlpBqDymOo8hB/AjiFnszgMowQrbGx5ey8bywT8h2XpitNZ91g+ASBJCvBv8pQNfbc8FPeNq+rdwyM1tFEAa0nsesXqAC0XaO2IyL2HjQAZtHGXYkrM+R8PnPAaFhBOAJWQkZLXxWj6i6v/qm206Ekr17n3cfuGvXeb3vlBUXtVpTU7dI1oiA+LQdjYStOGMr7lvCXoIoxOJWTBRicQu/FAdf/imywOB57rsivxVHwCH3EBPKiQ8dmrXh4Sld17DsnwhU1CdpobDlWcYfEiZoWv7PHegFUSUGonFfqUAYftpgzl3AkL/j/10s1H2Ne5VRihgH++jfQVknRIZIddzfjWBXLPiwVmNfhbiPQMY8cZ2xqBUE2x+E19fnCaDzq/J5b+ozP2ecDFtZgUhCAGbEG8p7U3SCHWPyj5AF4S7mGHvJ/+PzEFj9PRG3ovdz7CX8FK/7hWOun5j8CGuYa+dzxgcOdMhfktHMiY0QhjmBKM7S0PX/Y2ErBHs+7l7PY4YYP4SM4Y8O5o95/MfCFhm94LC3dQ+e8z6nqaltlpzcJBLcP5cR2dp23Hb1XpQPDXtr3/SrQTSWf2KOAvYL5Cq2DVx7fF9YC/F6YPh1RPs9vhb2mWfyyeYQOCUbp7FxRtii3VKSy0T26rTHBmWzDuieHdf9Cv21ELZi4fhP/uRPIov34PFpPb7yCQhbz7/AemWtIOAggAa/4Pv7zHedGx3QGunTnqqsnLKKiklfu/ATzywcecbL+/bve1O27h0XmMjaAvt6kIPMH/oS+ZpdwFf0PiEgH4RzCK8Pvhe28t5J18gy/A09P2RpwWsIEsPTzmsPn5XtQHgLfutdJ757J18WzrvvhwUhFBcW7rGK8jHrbKfP1lUbGwrliGS/uN07SWVF3DZE1yf7Q5DZRQJdg3NAXQdlWV4CCbfSZzknLMv/InrwvgR4KXvu6Dhp5eUDVlTU7CXznNw7J2ydCNkkiMT4j4WBGPhQzK3irK2F4tbCxIGFY2HSwEKOxWshmN27d1fvdVV2/ayudVa2cNra2wetqnqP/MARF/9Hhp+26TlhK4g4c9lJT/3QeXYIRIfEAS91QygBrwtb0Cw9ZIoHfjWXMICdxC7q786The3B+dhHfB4YmlYvngEXJXscO/ZN8dAvy7/Dr27Kf5yUT43K3OQ7Zg68Zcc4JfH4NzX/UXIDlRaI/ZS8XubQNAZzpTXzFNUU4lTyD6f0ufhfeP/46NPW1nJctm7UsuSrsjI79f2Y9xykrzE2EV9FCXu4J6zlX/H3c5EWTnUV3xFnF6MPwJ0iDuM8JgzukfNQ+BW6gGsCvyVu+eMgbIkbEWQgiNfYeMyFrRbEY0/EuWvjY8/Lr73ma5ZAFFnWNJCnQo1DsuKMw5ARCbeMqrhcJI6yt/S+zokZcDxdK9eLTkF/4vjguWs3Ayd1DqX9gM6Av8Rvkg19VO8PlqA1EMEqEhqKSyZcs6BX2zCYVj4Ykfko/jYSjtlbXF+cLBBOwte1afD+NNT3oCvrQp+B+SNpxQPDYFO9Vsjku689dspKSnfLd5bJZ1UIU3cLW4TWFKdOwa2CeByEraf/+xW2/vpv/rNuClktAlb6yodmM1DnjKOHkAIaIKgQVUi1Z2cIVOUV7LFSGTYizQAeB+OkeU+95IIRPa6o4YRQQIQxWhgvJhbiGgOsGDwE4EDaHItjXgl1UcQFgbBxea6TCP0vKYeIFxD6uETAI+ROhGWQRWxIl4fs1NQcsJrauB+YwKAmEhHlkIyOi1velI00XzYZhodoCBlc1LKHaEaoPQd0Es0AwJCt9bbXnrvgJ9BXVTVoZcUN1tbaLgdFKeKEHNMhbeCT+t/zeq0QVcD4AuTjyEJckogBjlNnY4ErJg8fHfztrbfenBO14hJEjDqLj7RBooIsTJTXhoYe3YdR62yLmz6SsaX5QthyxRryxEmWcnBaAyFrC/FGm/pGLNyESG8QuEIZaRC3MMAAVYxxMDqhaR6iVkiRDWIOm4tsLbKUAPGQvw8LW4M0qJQhrK2lPwbNoG8Z/dtodkgUxyP1no5JhDiksGKAWAs4Cj+5Uo7URS3K2Z4SuVtARshQm5p6UUb2lnVrzsrLxqwgf0D3Zl8QtrTGFwpbcSo4qcQcZ+xq/qVQgx3q5Lk/AIlg+AJZ1nq+LXLE0LqNR1i/gGL23I/sqcvaa/T+OvttO6r9sp9sLQH0gSFSvoNqH07IILU51IW7sCWwg4EjYwFh6xwAR/eU6wkn0XAd7KkgGvtcySk8HQmRc0LWHLHg99HciUQEAS5kRV4TMOK+IiCGjK1gkAP4eF12QUax+6w1NB+z9s4LfloiQMiJFuSTFGwcOs4CokW2GzZAxhhnEcT1kL0Q3gc7hPFHjCR69zXNu/bZ5PM2sOeKNdRPC1i1WWVVi/X29ctR7tUchXLfIGxdicDNA2Hr/y6Pf/iH/+pEGwDk5eaAX9ltQBlp5k1NR4zTBUPGEyA7CFsxYGG9AvD4/zh7BrEi7JN5Yh+L9vMlSBDyDwsi/J795D4r9keR+BEynefFN4gIYgNCDNfU339RQG/Itm0jg6PBT0qsKB/xrK2mpkPa56EfEFlACAeIOGRZYbe8Cb4LORHw1P3gvfBPYUBSNC7iDwN48rIO2T33ibKdlM6Rscx7dHSeEqkasoLCRoHyXtnDUb3ftM0ePWKnBWToWxIT77i5NUGYf1LcYnxE4Fo4IAxxMAZRi9J7Xidkaz2te3nL3w+Bev9+yMGY1dUNWUPjQevqPjcnbFESh9B99Jj8QCwc4Qd0P8g8+HB2UsAXLlpqXh0U/zcFrjDnIRCzULD8sd9jwDzCFv2vgvD0tpe3IWg5MdVaHB666xlUHDqC6BNKUIK4Ba5wgSvqj+O4S36EeeRvThYErBFIKBM4cEDzpc/c0/uUZ0hkZ/c4CQagI2w5lhm770KukwXEGvy4MMqHM5EoCcKXx/4KMkUGB/dHQ1/jsiDuH58V8Mv6PURpnbACp5NR/hj3gqOJ/8LMp/ngBQHMD4uL/1eExY8O5iPgw4AhPPAhHwLx4L66f2B/Tb5gfb0XLCdnl23fUWPZOV3aW8MhI7L5qJd1eDb2cOi1NcMhQh4oC/eLex9fvwes/PrJJA5rKAx+jkoQ8VcuSEalHeBCvRb7lcj7yMhd4U0yjPssO6tGhLxDBGJU73tQcxTIeFw+9SBj67+fxychbD37/O974I7MEzJQWFPeU0fYmtItWphMa73uks+qqNgrDDpujQ34sFDSjChCpQK9iBC2yNQgwAEJBvuC013cigRZ1i171pMHtCZDwEMD0quvnpnF/he2wkchVgSbE3gNh2iBp8nUAiezpwno+uncIv/gb/qpIg5TTp+f12ecOtrWOmv9+t2I+N9eca39wuhca8jaCqfih8OoIowuDEmigAsYPmKiH7gAn4ssEl5jelrvO3Lf+VtzyxH5qS4rLm601pbOwK32wq3I1A8iMZm+7Ke4zxb7aWFFzMKSRPdX8kUIV7GIFQtdsaAV+yp83EcTB27fvqnPcElzQBmi+NXghNXX9cmf6p60c5gaPlz8yoUtehh/VdfJvMExQ4CNNgFzrW+81C0KigtbYC8/1MPpY2yitz3Rc+ilhH/j/90+Cv87x9L84nPgtQhbR0jCcH51y4MwZDFRwYT/ABfw9+NHxdmjIAUZRXGiB2WvDHqDsWbI7Dur9UdFBlVPcOiDaASj9Eg+bWVloy5q5eX2ihNPWbs4p7d4EU+e8L5jlNWF9jcBl5H8Egtb82If2UaIRPQA9/uCwKURZ0nxuyDq/Z5rAmgZF7W2L5yn/+ovOU7gIDASBCrlPymj9ZZEg3dc2JqcelXX8pbNyGYfkT8/Jr+LaEQCA3ve1y1rds5viufpHgefEPxC8E3MHRwvtHQKvbnlT73aJfAa7/WsPcr9QxNhf8TZWkeEzcic2zvxgvb/DRe2ioqFf+oPy/df9M/AfaNq7jA+S3vUceBT33ee64IxAjZVS/goXY8PrkP+KvjNkFAS+tjRsklrQq9FZQB8d1fPed0nTkist8qKZuHq3cKgCFuhR3gsbLG/6F/8w/9em8f/9V//J18EKMeQdIQMBA169pDGR0Qcx89xmPT8IY0bgFVTu8+y83qstGLEmloP+e/YLADmacAOJSAAT0itXsP77Ag0eOlYbHwRBHSjvRxEk3EbtVELgYZxd2//vt2NCHkg2EEUuMnG1SS5qKVF5uVsiFoiy2wMNogTnlnqwr/kWTkTAp0ubNUesIrKSRdMfIMJfLohnqZ08l079tFoiBYe18zGfkqLh9cnRXFuMRLNIPOHzaz34NjvVhnf0hKMb5W1traJhO+xcS0MTiOMjS9R8Jgs3BH5vk8kfIG4FZOGWODCoGKMPzr4PYPnxKIWrwH5IBsM8Yzmv96r5ABlCwNWVdljtTV7rav9jAtbY1rMU5GwNU8AAcQIJaGB3kLF2oVI38zzZaTMkRsbJw0ytPdpuAo5lIGOGsbz3CDmhFRIXpOMsLNO/sKcQdyIunL8MSUFbW0nrKo6HIdP1hb9piCG9E07Qrqz5uuM/u9cZBRjxw6AAMTzvUehZJzCvMkAn/y6NvK7eo3XbFKkcc/gNc3ZrMjloAtbtVojCzO2xide1hoiYkZ/LzkmortzRi/OakPcCoJaHBF3A8O90lr96PBSTAyd/ocm9BgmF91Of9MOz75nU/tfseGxe9bTf8nqGmdk3EaiPnbn5oStqX2c5KE50/46LifEgQlxnxBPnQWUzxlfjO581IPjp4MQiYOMSV4YgcjjQLTn7gLi56+XvRYijuFUMIxiELbesPG9z1pXzwVd71FrkkHu678hW/Gs9wIj4ueRkEhYcHELchetK67Vs8Hc8Os9dP38LQAdRORQB77/4OteBr179yUXtkpKOkR4O63fU9IjYetUML4IujdvBXCDcPxA2PrsPxC2fO2RBaW1hP0l0kSmLOXDdTWUrQVhKyaulCLGGU8IOyErNz5VCjsxL24tJK+UGgX7xr4J5VoLhS6CLv4cPZc9PSdqCUyyRxy4aJ2TNQMRoRcTgITG2wMD9PUbs+3bSy05qcby8rqsRAShumYyyiw5EUXtb4nckHkWDrBAlELIizO3IPS+l7BD2k9zQ/uGAeFB2PDMYhF/roGyMcQIwCX9tSD7xUU9sn91nvk4PDIs+zute3tU73FK4PC8wOaHs7bYT3EUfKG4tTAAEwtcMTmYE7OiwXPxYfw/fguicOfObfdZiGmzsyc0f/s1r0MifQPW2HhoLmOL7ChOVHLRXNgkiDgQqBA886ytqPQuFibieQV4YtsgAmE+4zFv/wDLsajP/7I2YmELgM8997JOsJHsL/eUjCowBgE/+rzFAtwBAUbmbKG4hQDCdbJGAmGIiILmLmCY7wRiqTmjQf709Msucva6sDVlBQUiTyLClANRFki5On/HNyKCsk7YG/iqOGuLdRHejyxj4S8ILv4KP+FgPSphXbCGWVcIbJTxIhD39ZGpMet+aICSvigrkv0FdnLh2ANNBDCjvjp6bXqU+r3XProHWfN7/WGS9t8aITgWcCDz4QEQXScZ07wXc4F/YR4QtsCh9NbasaPGMjJa/STJqqrxkBGpvUVG5HyvrVcdJxJUQ0j0+zUnztEnLPh0D1hxj6KBj/csO3y4k8dglwKOkV0SaaM8mvKOjs6TmrcBJwqUIY6OjQpvBWELPIivYt0jHLO3/tW/+leRxXvw+LQen4Swdf8ZSn8oPSKDlj0V1smZM6E8/bjW3OTEs9bZcdoqyic8w6Wu7qALx+DdQUqlRp+TraO/7NvaZ+8Io7/vmCuIW9/S63xbPo2yRLiK8B/2T74tCOdRkEMjxsM+tF4XClqsdwKV7HWEWbgNohSiA+95QPh3Ujh4ZFjYS3ats/uc87+cnB75jgFraRbx3nXeBrF5I5w6+qp8HT43BJ89WUB7I+Bl+SbZZ4KWXEOwf7HtC9k/TrZlM/Ht+PA9e267gE/WLln6pSUkDXTq/oRSxIPaS7McGsRp2OI78X6CA8VZxnEwJha3Yk6FH/qQ31rgq+K/xaIWfCwWtTyz+MY14e0Lut4T8pkHbFe3fFV5t2zNiIWDYMKhHlN7X5E9eNsO635yot3JkwiSka9iPhyvB18VB2Jo9h1amsCt5jO45kcQs+BYoXcx/irCInodgiXOsTTHzG9Ybx94xta08MTg4E3x05PyqwRiLjgewH8cpJ/woff8JMGYB7O2wEyUCl44H8rn/HeaK/rEIWodE76CQ1OthZhPf7GyijHLyuwSr+oX59xnHe2nnHeH/qfPOW+mD2/sv4PdjfSBK6EcPOabVGgFcYukF31mhmdHxZ8dX00f4JA0QTYcr8daAifgI+mvVSX/Cf8nY4ssf7AEAXiuhcO4DglPUAUDpzopv/IhcUs8L+YrzvHcF/yOXyN9vfBNYYjn3QxCEjwQH8j/xRVf7NFYqyAYBC4lGEWCDfePA1kQRSlLLigc0l7bLz9PUO+6MAWHxLxqh44ICx7/augvKjxBRRKBniC+gWcRuGjJg7BGNZ58JhxL1+HZWvpMISBEw/p3/R4gnHXvOiOuOW6FRc3yl7SmCOLxoUMzWrfz3Mq1C+2vH/zgB5G1++mPn6mw9Vd/9f82GjuTtoeghfGhX88pIgrHA3ElQ8YbB+5FsZej7jrtglZWTve8sNUjw+ZggUbfLwjQveYNND0LSKCDTRKya1i8pBz+QAtY4EcLmGjCDd30m1qUNzUB1Ibf1kLxcYvNGjasA0xABRtXi8tTLRHjIgPtJJgNrI2CYUSsIRsJ1ZyMMhZISSkKKCD5gh9XTVRkckLEQcYbtdoBof4fkIaAhaHldT2Soe/jiByAlogCSi+KL43GSSluqN9nhYUtWhjl1tzaYv0DAzY2MW77DuzXvQxkgShdXOLhpwtEBhhQE5clYkAXRsUxqh83+DvPizO1YlGLhYd4BnDC6E9N7reGhl1WXtojAjht3Z1nXdhy4uQG7U2fZxdvNO/uLHF4uq8o9EGxBuSFDe0GR3MSSGCcZYdwAnEIIxa04ggn/4dR8Kwf31yk7uPkEVARI9+XEXrTM6kGh27IOZy0yupJq2s4EOZr4KanlPpR75R5HPmynRSIxLgyNyErMGQxYCD5PkShZIAjUWv2mNbFIa2LadbFPScLtXLSlCEWFiBscaQ8UV0BC92bca0NssS8BhtQobV8TO9H1la4PzhqxC0BB30uF7hkPCgxDPeKLK754c0XtdY9y1D3IIhaIp9nfslmT3zdDnBKzpSc+fAta+08ZWVVe62omIyFw07sgrD1rJcqurAFYV9wPef1uQH8pHwjRoV5isUtnAARDxELF7cgGPNCZBAjGZq7e0RKFohwmnsvT5bDiMkXAOiIHEEsbO3qu2S1DUesvumY7RIwGxAwGxsny+513yuAMd9XOEsnWwI4C+5bLGjF4jpRrThjFAGZNFxORuzpvaB5mrCSknZrbOoQ2ALgTGheaSJ6XNd3Vg7kovbANd8L7IkHwtZn//H3f/9f58C3l6bKXpFWT3Sbvgk11SHbEmGLHluIDRB9j5Z6NmoM1n5FAC3YCUC/gyjZJfYngITMFQSrIFwFgSuMhTYt8kmAG+1z/h+RjNfjddkjAIdYgMO2ci1j40/LjlGuPmJbthbb1m2lXo5YVLTbqirHrbaOHhBHfa/zuYgqQsApA5sT6aKMnFgoQUyAOMwPSMovO6Fgj9Jzic8PUdgvIg+oBCR1dZ2VL8T2iSyUVus9dwngDus66bFFWS8ZxsFXxYEYAD37CXC/MAiDj4rJQixyfXSQocVX/g65iH0XfovXxRfGGcachjg0NCFw1WvlZbutqfGIyNNTHjxCyAxi3xshGKPPF98LJ3eAY9kRshOYl9hXBTsYBC73W9G8AozjCHkMksP8BhElzO9v+DphbucEywiQeiN+AWT6QpI12NQUMtgRfsja8vVHKXuU8YsQA56AyPnpS9FwwUyvi8DiQqT8WxBInnOxhvkqLx+1/HxK5mmof1jrPWT3hbJA2dpY8PP1Hr8fwYQQeefeeKaAi7ry6SIBCFAMvvdSX8C3PmeI6JJ9xMmPz1ubiAmfDVLA+gnC1ny2dzhRKpzeyf+HrK1YXIywgu7tQpH444SsePB3FxnxWwQ2tReZS+aUrH9IMZ+J9wRjxlnYo6O3nQQnJNZaUlJD6GNXKoJQE7K2EOYQIWPxe6EY6IHNOZIVBfWiDALe1/vLMPSzExX9HdGQuQsCstYEuFCvidjImmhvn7XKql6rq23RHuvRWhmzgx7oFBnXWmd/xRn84MA/+qM/iizeg8en9fgkhK2n75M9Qj+d0CiavYcg4JjmmDiK1hwYtNWz8ketqGTIquXDWttOegYyx/CPDMvWEVydfkM46235kXeNExKPHhUO1WtA3PFpgaton2vPsnaxg7Fd+dgh/0fZIdfD//H/kGz2MJUJvAfvdVD8hgb246PPuxDQK4xHSW955agf0IDI3tQ4Iz4hO+QtQ+hticAeBYMjm8eecpEEPI7d03v78GulUT33JfaX7OV35KvkLz0TVlxAtqeiYtgyM2qttKTO2lo7ZIPIJhmTX9wv+xO4FcSb/UTWFoEYxGL2VMyr8Fn4nZg/xckBcbLAwsHv8VMLEwdiUYvXpmn8OcoQZ4/oOmRbmnqstLhTczjm14uwFebvFd0P5u7L4X4g9uleeDYUeP2SuLBsCfZlvvcsbV8IBoTgmpe5Ob+KhC4NfBV/Y5DV5CIGHAt+4b5KnB4RSu91Su95TGvm8MHQDoG+blSD1NTOeHbZHkQT+TCElRkvm6T1wTfcpjEvscB19ozm6rT4MIIq4o9wCJlaRzTXiGJ7J1504ap71zlxt72Wnd1lRYUDsn37PiRsxVnXXnUiu+tBEfff3/MedCGZAg4l/4tAhP92v637oXFX39NYnu/hl+HERtoSwVMoC8d/Ue77DeGeNzyYUVlJH7sJz/yjBQPBDQ4mm5h4wTnKfvnNg7Ldh3U9s/o/KmFOCW+6uMV+0nX5KYSXhCvkK/3USCqZuEaGY4UwQoKD5lNzSgIPeCT4q+Ar5rSKSEsggBWXIY4MwUsvu6/Ny9+t656Un0covSLfxonZL3iQn5Pz+X8PlqGrzPV9joJW4BYfwW8559R1wBHPCCey3wn4omGMCTvs3nNDNu+E5m3ACovq5CvZY4OBW83M99haWO77a7/2a5G1++mPn6mw9Zd/+b+5kHUWI6cbTubHSS3kYycwMCEdNNRX64aPylEPXLOm1lkrKBqwDHo9lA9bUwtC0TktlBsuPACC6C9AmreXUESAAeNJZCDOgqLZZpy9FUAoGVzUh2tza3HcvB6l8fpCYcRRMi1eLSxELUQFgBSiRky2EWcQqcgamxJwAfShSnOsekHBoAjQfuv0qMhljwaMjWqTyXjPyHG4uKXJJgLIosEoswAYfO+RDJF5iAoLgoyUcFJIAJ7V1eOWl9eg+1NmjS3N1tPXZ8Ojo3retMDTIf3/cV3nGTfAgPg4Eg4BX0gaFhrimEDEA8O8UNDieR8nahG9YDGG0zrGrLKC6GV3ELY6ztpA37UPZa0dlNEjSsMpFTQkZy2ENGIiLKQQy0mzUdmwMsBB4IIwyODcikkg4DWMeXIQBEkvG5XBBTgTtWHNcQIjEQycNEeJExme1PoZHNQmo6Zehghxa46wai4hEX6SowzwMQHqE5qrIEQGEdIdO2vanbaIsDvsr2sdIkYyb697SidkobPrtJMFIguFhbtl6Kc9Y4LUT0Rc0q9Jw6aB58GDgArWxgd2/KSM3ulwGmEsbiHIuFADYdB6jstMPjoo7QziTSRqQdRP6vPPvmfTMlijE3Lmg9etsfWIFZTssWKBckgMR91zOsbYxDM2te9lbzBPhGFWDggjTNZXiC4EA+fGTcY2EDvmA1Iei1siFiINcdTnw4Ik84gYqXm7GfqhhdJRjn0PDgNxARCPfaDHFmIbdeA19YetqvaQdXZftP7dtzxrC+E3NGckc4GeYN+yUw5ygrMgGsL94KvvZwCg/haL69xzauAniN5pTrq6T3v5VGlpqzXJ+O6OInczM5CFWV0fvYE4+jmqBde++g//4T9EFu/B47P6+Pu//z8j0h9sMKSf6NaunktWX38o2HXZCUgre3uhIHSYrEGPIAfiip3AB0FePYvFM7dChgk+Z14QDnYsjCgip7+5X5oTPUKWSxwF954WABe9DwKUZzxr/U5Pv6Jruis7ds7q6yY8Y2vjpjwvRyws7JUdCiVTZCeRyk+6PJE7CAWgk+OesY9kmMQBIz5P8FHxkK/Sz9wn3htfhg8mmwUgidBCby2CMG1tx0QWhiwrq1p7qdw6Ojt13wZ1zybdVx07Fog3fmRhE/m4JBGfQwAmJguMOAgTR8Xj4T8vIAk8l/8jwxjiwT5lv5KthY/cv++gCM2wrq/Nysr6RZ5C41kXtkQGOZk53AuCMYDwBSWa2EDmFWwRiRJgCCKo8wLXR+d2fvgc63nM8RwolE3nNQGlvAfvRWYOwhoiBmV6rDvsdH3djHVpHXpEGACvvyNIMhes3ZAZFDLugigZhMg4aMa8Mr/8D9FZhLx+vTaiTJFwV05uj1WJNPg6EeANbSBCtjxCE0IN/+u95VgjWg+8VxDTgvAH6QkZE2RyEElmBPDtn1P+E1IDdiNDmtenWX1j05E50TUWthD2CDx4trfuSwhgkjkXCBv+Y6G4BQmDjEHOELhCtvBHRa3gm+aE5DgbQfMY9lp0nZoP7hu+nWPrCXqNjNyyltbDlpzcoD1WaZlZ7VZcTMbUuDVEp49yKhbiXBBJIeKva80HrMocuI0QpuRzeBa03ydGyHqZy3jBV+l5vtf1f0dENrgfXMfQ0C332Y2N+6ystN0a6lu1p3vnhK1js7PR/rqgz3XdhV321h/+4R9GFu/B49N6fBLC1p17nEgbspKe0jo6r3Xi4o0wzawwDfyEfUUGSQmCdeGAlVXQU+eo/Ng52eirNjggvDv6nPDNK+IQIt+eufWu9tv7WmtfC1gU/Ce+xslqIYMrCBEEcBA1wvcIE/oZccJHHPz4thPswG0g2bJpkahFlhHZYhwIRhP0/t1Xhb3O6PoOWGFxnyWnNFp+fq9nQnYgxnXT7w879JzW/6uyz/QtmvdT7pu0V0/qPRF2CJ5zrewdbI37K96f9973hniAOOfwPevrF8mX/S8q6rW09ApxmGpraWmTDeoXPh/R3p3S+xx2rkMgHx8SZ23F3OqjiQMLeRT+KPZbse+Kv+fvPDfO1OJ18IH4QrK1Tp85qXs1o3kcterKdisqRNgaDxlb4lcjQ5STvizf+6aLOOEAgNhXwYWDAOn9p91W4qsIxiBwYTMjkSsaCDmh3C2Uycf+igqmOX4s+4i9ohTv3BlxIPErGrsjQNFHC34+MHDVOCm2smrKOPwNH+KZVASitc5YY5ROzmpOjoMv4DsnNVc+9P0J/U6veUzrmEwtuPO0cP6o8Bi+gRYH5eVjftp8SfGg1dXut/a2U/O+Sn5xShwurBHxAvlF1mHso0LQGx4VCTTyH/TThkty4MAtfc+piYwYi/HZY02AVjqsMXDBvv2vat2et4rKvVZaNmwNWr/wPg4Sgf+yXuEo+4QnOWn+kOaIrK1j+oyBq+Cn4ZXMlbiVfOcV3d+rl4QtwBe636HMNwy4H/wLcS7OlMTn8rm8ckjX5esdrQJRSxiC3mQH5Lf3jj9nQ3tuaS9dkL+YsZzsXuGfMRe/Q18w7p34n7Ck99rSfgHv0RMM+wSnhEd51ZKuDd7GV64lcM5I1NKem9W9oT84GgYnZfZqnzW3HbCS0g4rLGKP0UoJYWuv1kMo943xYFzu+/3vfz+ydj/98TMWtv5XBz0YPr46yfYbHqK8RONoskn0m8bVXbvOWU3dPsvJ77G0TAEGke6GxhnfyBggUhpZtPum6a8jwCMQHsoF2MyaAL0+7xXK/ALICs3p/nkQuFCuNRlepsii1kb3BcPi0QR59EPPA2TEohbAAgEDcQOjQer/YU064tqEroVGbF2dZ6yqasJyc/usXM6jleOfPY1fxGH4rkc7OS6blF8AzmF9dhYdYI3XpOwNZ0Q0DtBIacg+GQCiEyMjT7sS3SYHVV46YNlZVVZQWCIH0CRgs0uvz0lTe3U/SJmdz9pigSBAxaAmJg2xEcaQAvwZcRbXwhELWjwvFrUw5BhdiAjv4dlaU/sERndbUXGTnEO31dUFAtjfh1AUTjbaFzXQIzUUQZNjhd0B4Qw9shCLWyEjiR4XRAYwOkHg0iD10VMw+RoGf+M5IcMOcSRKj4X8RRvMs7XkpInSTDNnE5qzPdetXQC0pGzUikuGHYyysZlLj7ROzJcZsU6DEEltdOi3wnrwKNScww4G5ODMm9rIL8shPq25v6LNG8hCRoY2M8IWUV3NI8B39x691+izDiqIQB088CWtjfccUATxDwfN/YkiUFrLHoHxVGsBYBe5MG5EdmPiQOQurNu5zy+ic4QmxIe/ZHunRTxHRX4HLltd437LLeiVMR5x9R5it2fwhsjSfX0GEYqDb9oh1mn02U+doTm2nKUMHFGgeUdJJqScgKfLEuHAMc6n8QYhKzjLIEpGolbkLJhvdxhP/VBEQtftYiTE7mtOaCBulAj26X7W1h+SYZywZhniXgGzIQEiIiL7BFTcWWoP0cctNHwmk+C7du4p7l0YftqoPgPOhHVx5MhX/f+oAR/VXkZYb2k7IrvTZWXlTdbahrC12yY8JZ2GvLOad3oDxSmzIbLw7//9v48s3oPHZ/WBsAWBZb+HsiMij7dkJ05bTdW0Z2wRFQzgKRKDRLxdAInsRFwyBZjGD82LWwEMxJkZ7BnWf7Bjsm0ReGI40PKB6AGQDOVIvI77I61rXt9FOIC69ggiHNfLYRV9vWd1reO2bVuJrVmTYUlJ1fJLnQIwg36CWp38a2vrce8HhLhFWRsAf2LiOYFOmvO+ITuGrQZ88pkoTZFNOr5g6Gf8rpMEEW1ENe4F94RIJYEomloXF/dYVlaZbGCp9lKb3mtAe4kIHb5q9h/5KoIm+Bh8lItb8lPPP//cPxl8+bjxTxEFfBbE5OjRIyI1U7rGfispIZus3wWJUAIXBBWCSbFg5KV+ugdBkBC+kM9yQcLnldIbsm4AnQEkh3kMczo3mGf/fsEca275n5CFF9lsrZkwt6HkjJMuubdcE/6pUSSBcnb6iYRr5dAT1mAsrmL/QtAMcsNrcc18z+9Y3+6n5Iv5H8A/QiTZavXy27l5uywnd5cICadRH5rzixxdTlAR7DUn+unaCBZxnXP3RnYVMSise7KayW5GJApCEb/Hn4VSS7K13tVcvCDf85Tw07Tm4ZBjB7LE4ow0Mue8TFbXHkS7UP7o91/3jnvPveSez4lbGgTCXODy8sSFpTbzpaDz5I2IvOZFrxPmI75WfBH4gbIp+U9d68jwDV3jMcvMbLNNm4stI7NFvl24T360hlKU5qMBr/ZdCaKx8A/ZwPQn80Cs7tfc59Dru091Ahr8+9zQ++O//F45xhBxnAEvv+LzAHns6DxhlZXDlp9fb/X1Ldbb0yvsov3lvuqYfNVpvc58Hzsw3ANh69N/fBLC1u07v26c6kwrjDjwflI47TjcCtwkXkUv1ybhTSpf8vL7/BTPuoZwiEi39hwlVGCoUZFvyoW8ekAchYODwH5H9FpkATlHQeDSumU/4OPcvmi4oCQizUA8iAc/B0FLfgp/Edkez5ZCqBC/mdz7kosVQwO3tHYvWlvHMWG8veJ/HbYzudbyhE9rZZfwV91d56MsJcScl/z/46bcvDbiBTYFoYRSL1pTkL2E6OW8TXsYG0nmD5mn7EsqFBCH8Yl5+Z2WmlpqxUWV2sPaS729skFDspG0oZgn3nGWMeQ79lfwqoWJAws51Ud9V+y/Yj/Fcz/WV507o/ecFbbdLxu8R76q2QoLupxDgEko3R4elN8ee0GfR/aYTCjnV0HoC722KPOTrZRtQQAJHDgkeVy/vrCSiVMuo5MuNeKvN8EmJH2AQ4TTwSLOM2TXydail9tp7jHrxO8tPafB0VesuX3WyuVHaNGDb93djxCn6/UqC/FBrYOwxuDBVLvIP4n3zM7qqzgQWB6u7AIoXNizte46/uJwgQLxqaysListGbGGuhm/J/zND8Aaw0+9ovchs4/ecQQd0QdC0NEPL5NP8j6U7rvJfJIPIUPKx4e/5/PDTZ1b8rnRM07+kq7zfb3PC16FU1E+7gGO2rpJ2X+SFy7b4IDs/8gz8hthbyE+zmiODsP3Y1GP/aLr8gb3Z8kyJNtRPI/rA18Q6PjQkC+9JL96EQzCCG2MyKYMiRah3Bf+RPAJrQKRmxJRKt44DIaKKsTAzMxOXfOg+6wQUBIWHNH+wscLUx5BW9GeR1fBT3k2JO9Jea8wbQhe6Xr0M/gFO8RnOYZv1/+yP/F9NKbf1ad91rBX89YsPEgrpXb5sD3CnROuXSz0V7Fw/N+tsPUXf/G/aOIwhCHKC+jiZmHcgor4qgMboqRkzLS2HfPa2cycLktJp+Ruj9XVH/RGdH5Czx6aslMuhvAQ9QE6QiRsPlqJoWUBB4ELUUAgSxvbUxAhGCiOWiA0gY0Hi4e/MXgezyc9EHHAoyC6fl4/iFrv+ELhuqn33S0A0076bNlw2GhkmTWHJr2k1u6R8eQ4be9RMU12Dup6IA4AQ4wRmVyo0ghaZDeRMTSl57NBUVFZdA11B6wov8syM8oFZIoEAhtkMDi9Y0BGelwGcJ+M/OE5AxynzQJqMJaxEQbcxAIXhhiRKxa6ELJiMYvf8XcMNv+DOMbrsOhYfJCSmUOHtWg5ubLL8gvqraCoS44Jx6nP3sOR3ZSPPhNFWN7yeSdigyELinWIroQNE20WBJsriFyhhIx0a88OcqFrfgRRhJT9H+v5cf82snHizEBEVAgCR9CTgfGWb1gyA3fvZq0dt8LiITnP3W4oyYgDjEJmcbZsSAQP5oq0zKMCpMdOhDWG4fAIkBuP930u2cQYbLK1hoZxmOe8ZCFPZCEcSdtrVZV7XUTqpFxB4H3PEGThRRkdGXqMsJwT4hZggmwiIhkeIROZRWANgi1ldoi2gTxcdOMWgLD34tDfY1GLRoVB1HrHpmnCvvdZvecN6+o5YyXlQ5ad26V1O2otkWHzEpCxYNioC/eGh3Javrdwlhg4J3bf156ZJ+vX3SlA2iDqIfMkkIbw/fxAmIzLD4PaH8RIesuQSh+VB+q9ACKh997LIZuz/7LbggK3CTPGiY67SacXuQMg7fNyV8h4ELc8y06kgPKyM+cYckb6ijjp90X3mOfHGaMI0Lv6L1pd45TlFTbo/tRYS3ubwF+fjY2P+f6i3DeUUIVedjG4eSBsffYf/+W//H+dQFNSh5hAtgUBBfYrPYfIyG2TzfBSqbns4VBqBOnFBgCwg6hAxkwg4JBUiHLIYgm9ga5FYOnjBnYtjCB6ABx4DXwZogogA8LgJYBRIASgjjA1NKi93XVaBHvYNm7Mt2XLkywhocyysilHFPmmibyAMZk/ZI56s2t9RgT9kCEjW6T9Bnnev58DJDgKnjJp/FQYkHMyUynNIpsIO8l94GAXAk+hPOpElF3cZhkZxVZQUGLNLYEskFGyX3vpSOSraCIfk4XYT8VRcPwPX+NDGiABH0cU4hFnaeG7+D/8HQAJH4g/ZO9CUkZHx4Qp5LPyG4Qxel3YigUVAhuAbz4bawFwjYgHduG+OwjVPMRiRJhbYQvNFZl5ITDzkXmNhCwG8w+5CHPLKchkBglr6DV5bfyLZ2uRYXzgDc8kddsk/NPYeFhrccLXpIN4+aoQnSbQ96bPk4tb8ktO8jSw3fwc1gqClvBFNG8E3MAXZC/XVE24WJOd3e5ZxghbLa2hRwriJ9nM7AkX/fS/CE68ngtqWovh4AGytyKbS2DB/ZXAugb+i6AQn5HrCo3r3/Q1A3GtrJzwICZZYqyhWNiKRTTmIOC7ELwMWVshG9J9UCQqurg1539CeWJcUuPBFQ+0BFErBMfkt6L5wZ/F8xlnSuH3QlZkELtHyOrtOuli8YYNeZaSUq911GM0uq7SZyCw1xL1J/NDYuKSREpjNEdxz63YTuBTw5rifkG6wggHCIQsuyCsRfvNcafwsrBlW9tRF4/z8mq1hltkm3r1970ubB0XUYjLpxZmmPzBH/xBZPEePD6txychbN28KbxL6Z3WTCC03/KG8bNH6KcD1n3BDzJobJ51YSsnT+uEMuMa2Y/mwyLfp7xygL5W2BeqBwiyetmUsDIknIz5w0cJtnJiYhzgQOQKw22Lf09mV/y9BvieayErR/jYbU/kW8GVZGohVGBPhvbctn5xha6O0/JLB62sclDcr94SdlZbfmGv0W+rpeWYZ5kRzPTT5jzLjOxRKkEQt8hWomz8KzYrO022SLB7GrqGed6m99d7T06Ic47e02e/KtvHASdjlpXTYsnJRVZYUK691KT92y2bF3oA0cM4xn4xt0J8WihuLUwciHnVQk4Vi10LB7/nefwf/88e5XWDrzqhzzUj+z6hfd4rH9qo0e04hFJEKoLokzY2KnvMie7Cv2Q3kSDB53b8K+6AuIX9DUkeP7Ar8juxwDVfyRQOAEDs8q/R9yR+XNNzQrJH4MjOjSNxh9MKT+i9ZhFr4PPCDvBzsnMaWw8LQ49ZecWksEYof90DXh+SPRxfWJ4nLCFfR5bgjAbJDwdnvqy18iXH9GQSMte0/PEWB91nrEa8KjunW1yYExHlqyJhKwTqwDLPyG++7P87VykUc4K5ewJ/QgsQz8Rve3KLPq+GfwWnMfz3+Gv5amEwz1IUL6NM8qjWNBlOoZR13EtnK6vCgXecCLmbXsCR+OiVOewr+ctDWo+xYIx/8WCouPCZ0+xl2f8zQZB03wmviwY2IozvyUcEPsjwDMnYBkS8FJ9FYIy2OuA5srVG5MNdr2g94Vw0NbVV1yz+y6FC3j82ZJl52wH5GjAtuMc1Fb1+XGUFXuH+ecsN552h7Jh7C3dDrPT2GOKcocUUSUtnrLJ6SH6z1ooKK7SnyYrc7doF5b4fbaXE3vre974XWbuf/viZClt//uf/sxtEyCZpo8G4ve0LFpEHA8NGAFi7eCPDViSAkJrZbjtTmiyvoN9q6w7IEB8Lqu/uOAuIJoKQ71dDyRQEHOOL+KBJ9ewaF7jIrtFksJA1IdR9Q8qDKBBGEASYKBYSjQ7jMjPqVAE24QQPFzDcOOraBexc/RTB6RWAaRZRKCrqt7QMEYjSAU9HbO84bhyhvXvgmg0KvCGWsGAmJ7XhtGiYdLJifOg1EbQ44QIBDGBN+QFgEmWeRnyV5ROWl9Nm6WnFWhwFAlC1Mso0YOvXRh7R605qEx/8kAGOo+EYy1jgijO4YmMMiYjFLkSseMTGludivFlosdHltYm4T0/vl/PcI+fTIsdZo/nqsOraKb/e7u64V4YIoJxYSHWGKIU6foQFVGsiK6GHkzapNi0nnMRRS5RgFGpSrkP6ZZSd5EPEQMYGMQxyQJpkDJ7J2EE1JtuI9+I43CkBS0o3SOHnWFjKHlhf2bndVhc1foU8kOJLZGBMhgDBgw2+XwQPA3xITh7yCtCMBS1eex/lAXp9SIiLMLuvuEhbUTkqA9wh8NuoOet2wlDfQCT8tO2SM989cNuNMKfTIG5x9DKvh3EnqxHnHAwfvQ6IwAPqiTrQ8wsjQwprMGzBuEURfz0X545qTvQNUWucUxpH72q+QsQjp6DHMrLa5BhGtH6P+v4CCA2NCDjIGJFCup9rYa4EDoIRjqMeoYwiZEP+SI6SlFlKIUlXJiMB8YpsOr6fH/wtnJD6Y58/Lw+EtGv/nXFR65fdyLPfEKzJHgGgDQ7f9jkjepcr51El5+69yrQ3PHsGIdKbNHL/QhNUIleQgkCGiIzE4jqlZhjeUAYNwRsdC41LO7rOWEX1qEBOtRWVVFhjS5Pt6t3lTa+npqZEckO5L5GFmDCwp/7dv/t3kcV78PisPhC2INGIBAQUyDxC7OCEJppFc7Ip5VlxD53Qy4EsJwgrJRzzGSxBAAmiNDYJ/zIvgoRIV4jGkUoeBuARgBVAZBA9eD7/F5eo8ZouaiF8uO0hmvmqE26EtiAqHbGy8t22fn22LVmaYNu3l0RZJb1WUrLHQTy9tpqaj3pGzq6ep/zzkJUDYfasHNkxMrDI6EEEIbuHvcJA0GAAlhA48GnYeHwV9h4/TrZWaQmZqg22c2ehZWcXW319g+xr6LM1JV9Fg+ujR47IppwQoAuRujgQE5Pwe5FPcrIQEYZ/NAjAREEYBs/lf2JRC5/FawefdVSfZZ9wxIDV1jRbTk6tgN0uFyNCFPyKYxHuJbYcIYF77BlDsoPYJRf4ES5lB/E1Di4RMN1vyV9F8+tz7PPKnIasu/kR+SwAYeSzwtxG2Q3us2jET5SVLLhbTkRrazmtdVD+NmRF715QPu9lsfJDTvQQm/QaRJTjskNEJOaSw1yYW0pGCMz1910WyDwqP7DH0tObLS2tUXM35CVAAPRQjnjZBrQf8IuQUe4N9na/E8uQiRSLf0GwiSPRQbQJI8ock/2FgBJoYt0i/pCp5WKacBRrknng2oLQStuJL8lmh75evAavB04jI8z7ksRZW4hbPoLA5QGWBSKXNwqOAyzyT7GghTDGHIX9Gco64pIO/AWfj7JN1jr4oaP9hOXmdNrq1Rm2M7HK8vK6rbh4t8jNqNbVtPtXsraC+Mh6CtmdCObcL8QthL15vPrhthS8Lz9zr+bn7w1/DXAn+4zAaX097S86tb+qQsZWJBwfEFEAn4EDyVJcmBH5e7/3e5HFe/D4tB5f+QSEratXv+82yDM03CdoX2kPHp4Rv9r3igfTOWEQnFumdUkmZmZmh/b2YCS+HtMaOuv9gcjUIHOLtikTwupeOoWdF/7zYDTiPqK51qLblci2MI5FX/kdvfd8eLBeOB9xTPaI/j4EiSlxogplYky2ZxjeR6bWZetsP+scqrpmzPIKu2xrQqltT6ywgqI+/Y7TfMmCjDOMgziCj57c+5L3yqKceeYQPDD4YGyFD64jKmXjNEUEoEl9PloMEHTv6bmg1z7sfjEjs16+Kl84vcRqaupkXzv1Xrv1PqPat1O6DzO+p9xfyZcs9FcLEwdiThXzqVjo+uiIgy88D46Fr5pLGjh9SrZBvurAPtmPQWts6LD83HrLz6MUMQhFu3bJtuj+0UB+cu/LXl5Jg3CasyNuIS6G4K58lAs5wiAaCFNzCR7iVVc47IOvcwPhK4yQ9BFn2wZBC54BrnGcPvt1O3pIPEjvyzxMCQ8NkwXXKy7ffMAKtdaKS8Qv5Ee8igdhksQBMo2dE1Kixzp7y9caDdbJ5osFrUky6/Q87Cc+kANpWtvkqyqGLS1TXDi9TXM3ZHW1B6y15YSwB8FushDFYTwLMTqRkPUrzI/oE8StkLnFPXkqyip2fy1fcpnhYhe8RsPL6MFiUba89lucGYmAjJ+ilI/SSJIYSssG/ZAeDnnp6xFOFMdjjia0VhHzfE+Je8BLneNpnrguxxUndG0nxPEQuTRvYD5Palg4ziEwgT009DkY+As0D0+0QGvRHmDfolU4RhOm45Thgf5rtqvrvDU1aM0XD1piYr2uucca6g/Ipwn/cKiE+BR8CF6ENsFrxdwv+HTdA8Q9H0GIC7xTdkjXAA4Iopa41fTL3h8cPtzWPisc3WdZWZXyWaWeFYl2MUorJXGrjyv3/e53vxtZu5/++JkKW3/2Z//RbzBiFqAYYwlhZsFygpvTys4AAP/0SURBVBMNMDEwXmonQFMlI5YvY5ac3mTbd9ZYVm63VVZNep1uAAqxWKKFOyEALrJOeRkbg5pQhIbDGFZNblgwpM+ihkZA1IWuhQsFQYAJ0mJh6O8MBC02AP8PQZ4DF7r+aQG6vZFAQtSsq/2UN69DuEhJbbZCAZy6hn3W0ipQqGvmBCo22yART31eIttk9ZAVw+IhI4UmxUHQes6NLqUhpLETQaZsjf4TJUV7LCer2VKSRRSycmXgquSciNLt0j0cdOWTrBLId2yAIeCIW7ERZrFgiBGpYpELgxwPDGw8+Jnn8HzIAeCI1+I1Ifczep+xsXEB324rr6i1rOwKy8lrscpqGugRYbmghSvgTYNiHKYr6EG1jsWtIN5E4pbuu88HQg1kwRVrwKsMsouQ89FxN7QA0EiUdDHyXHSiJE5egNBTnzVvRJ5IA3XRSeuGe+qNjeXcXfXP6rCa6mlttFnr6jhrvTiM3aEk0VNaNS+cEugGWKABoYjXjAVahK+9mkci2SMC/aQ304C8oWlGRn3A0jObLSlJ9yer3U8ng5Q0t+r+yAj39mldDN71+4O4RWYbZXVB3MJBfyUyfgK/+kwMGu5CHFzockMTwA3rFePj2U56Pmm+7AkAxV4OORiXcxgSWd911oWhrNxOS83gFJghb56M4+mF2LFO+dyk8tL7y40wYh4RhtgxhGxIJ+tOLkjrRXgMdddxv69Qgx2aBjP4u4uSLkjG6atxJgqnVwbiE4wj9/dVG9M+Hxi8oX1wzkFOtpxHRdVEiAKRPSN7MBw5MvZRfP8Q0rEDHsUTgWDws0eEDr4jgiviiOPUnhsavqPPflnzMqs5Ys4qLL+wTHPYoPft0hyFlNmFkbuYMLCn/vZv/zayeA8en9XH3/3d/+HEFZEAsYAII1lN2Ini4j1yysOyw/TQ4VTBAKCw59gVz+yUDyK7Jw6wxMEVHD6+BdsWIl2xyPVhe7ZwuLAfR8Kwa/p/XsuzeWQPiIDzfghxkH8H6gJ+u7RHmpr2GSXhq1el2uIl223L1kLvs5WT0+ERxbKyIe0jeijNyEfFJYkXPVqHz0HcYnAfuB+IXNhASPXc4HfcK9k7nkvWD3aV12lrPy7ftNcK87stPa1a4CnXMjJyRRZq9V6QhQHfS9MIxRFZOBn5KvwUvga/E5MFBoTh44IvHx0LgzGx7+LkRYgIPov3IwLf2UmmqmxyJqJEl2cF+GmRmvOQtUXUEp9F8ExgVNjFhUvddxdwZF894IAdpjxdNtgBaOS34nkOcx2CZ/MBtDAQxGJBK55bXjcuhY1LzrgW8BEZxjR1J8JaBbnxY8VpAk1WEPYv8lWyaTRl5jUQuQCnLn7KB4A5Jiae0+sKY2jesJ27us+7iFVY2GOpKfXCF/VWKAxWozmE9IX7ciGIfnuIhgfxExxEpiBiGfjLs7cgv5G9dZHLfTsBBQ0H3mRPgKXe9nXEa5E14gfviADFp3byuViLXGssHDvA1muGQAUloVG/FPc/EDQyEBC4fkMjZMdRRoKAFTKFyc4KrQviQWZdyBqGuIQgC6/pQF3v4UBdn4f+WhAERD3aGNA/jsy25ctTbMuWYn3P3uq1MtkI1j6Z2tgJRPBwiqrWk/xMLNS5uOX3S4RL94M15Rkx+nysAQanOM+tBQRJ/S/zxmshmPl6qBzRezcLD1ZqDps0T7t0T0c+tLeIgsf7Crz3QNj69B9f+QSErYuXfkX7i0Ad2Y+htQsZGvTSoY8sgRcC6y5sVY4Kn3dZSkqTZxdWVtIPbsYJOZkaCEa7+8Gisv/D9+eDusLrrD0qVOifhIDBeyBYxYMm9eF7/Y2/a6/wXCoQEL7JkAKXxb4Vnwkn4HCtHkStjjPW0nTUT1MvKekX9mqwdRtzLSGx0pMFqmrgf4e15wiWY4eCOAJH8v5FCCSybdP7EPaxRVTEwAcR1PRVeJCm5ZN7X9IeJJECUeu29uVlz9ai722BbF9aeo0l7MiVTyjQ/anW+7XpOb3ab/+YW8X4j+DmR3lVzKnwWQuFrth/MeKf+TvPjZMG2Kf4KsqyDh2Wr5qcEA7plU1hj1dbbk6bHwKDKBmLOMNDwiBjZG3J7ouPHCJDSZidbDkXcuRb3D/Be8kGikUurbenvPLjo2Nh0se8r4oFLXpgwTOohDlChpXeD1GNftNj+BT5z84uceKGaU8cyC8g0eOQkdVEyTvJKeAF58LgC80d/IpkDwaiKmWx4yS9aH45PX6P5gv/w3xRSltQ3G/JqY2Wmtbs2KwW/tY062s5BKeCeIZIG0pWtWZ1T45G2WwuIum+BC0gvh9kIAU+E8Qu+RX/GrAY9wBfTRDCNQH5OtoRkdzCfBCYyRGnKijk8JVJ8cnjtkscmF7TrPeYU8FPDhz4ktanOLBzFHGTOHsLfqVxIvabUUA+BDvCAG94BZw+A4M5pmcXXBHOB7eG/1AZNqX3g9/gM8AJ9NZqF26oEX7IkT3Yvj0EZeq0B9padL1kmWlfwn05HX963yvu20O5LzyULHBKffHpXMf8mMssRtSSvUDbgLuRrYWG0dBwQBijS1hQ3CqvVJyzSfu/R+81LL8YknJifxUn5PzyL/9yZO1++uNnKmz963/9H2xSjpyFiqGcmHzBFzOTTPkhohZRZgwwUa5SLY4sAeKElDrbvKPMUjNbrKR8xEuPAOFEg710QkR3eOSuN7oGrKH8Il4gNCA4IKbRuCwm5KEJIoPFoIWiiVk4KfwuHrGz8I3rRJi0SBR/MqpkoLXZUD+JlnZ3nbUWXXclp3hktPopOYVFu622fsqaWog+Am7Oh4inQCQGmUVGRBihgb4+OBFA6Zg2Iq8LoKMOFqLR0/uUR2rpeVGQ32tZ6Q2WlJhvaamZIijFIidEFtq1GPsc0NBri7Q+DDAEHDDPQomNMIuFgRHFGP+3Bs/BaGNsWWgYXF6L1zxy5IgMxrTmYdBa5ADKyqvkkEosI6tec0hftCMyQucEtC77Rgl1/IEouGrt4pacIeIW4oPuNUTQhZpTCDUhGh4IYZSiH2UnLRwYaowT6jWGyokf5EBA0bOpXNh5Q/eFwwlQ/eVMdU/j0oeMjHYNnIWIXr2Mrxz9rs7zHlkgMuSZW5oXN8AAeRlerp8xRTo1BlgGnc82rOchCtFXjSh3Te2UDPsuS0mrtx1y0mkZTVYkg1wJqRTYaBOh7AZQxBEoXd+EjDmirxs/1rHuURBrv+zAxUlzTBx0z4J4G8pNMI5+sIHWPMYNgxREt5fcwJCJ1b/nqrVoTZZUjFqGnGRyar3AhByP9hcZC7sEmDmoYFgAnhMbJ3Ud++W4vJmoXtezoLQ/4hJJJ+s+F9+bcwqX5BAQrhhefy3C8GHiDqGH5JEZGUV/nEQgSGIcEbWI3Lzue3tkNDQWpWFkhZx6pkhEGaelCgwhxtGoOu4ThBF3cWs63D8yLbh/PnRPwutyX+gvQ488xPVA8OgLVFd/IAI5ZZq7EqtrrJeT7tAaDpGFGNzE9eCxAf63//bfRhbvweOz+vi7v/v/uKBFZBBwRCCFU+jonUg/B04WrK7h8IfjHunuk03HVsfZMhDW2K7F4hb7EvDhfsZBSRRc8X3zYQGE7/ldLOy72BsJH7FYHzdrh2h7WZJ8Ku8PUMcvkiVcV0evx2ZbunSHLVq02TaKJCQlyT6nN+n3XVZSPCB7N+aCHZFUfBRr38mNbBenD+On+Gz4qhEBSwg99onB9wgS/A2hA3DN/SKayuk6nAqEeJadLfuSVGmJCdmWmpKpvUtfhVY9t28OzLCfDke+Ks4yjkk4PujjgjCIVjFpWDj4Pc/huXNEQT6PfUqQB59FJsvQ0JDmVbiiqNrSU8stS3aZOUbE6dJ94LPw+bmvIXNNPkvz6wQvFrgQMOcECcByJHSBKxYA0CBqBtGLQfCGMS9oARCDoMXrACCDkEFmAS0annZA2tV1RvjosN/X3NxdbgfjjAsH8o4r5sXIeD3GghafwctFidz63N3z/4kFErL48gTKk5NqLCW5VuS3239HJjP9NxA/eS59UiAlrAkP0OkawXUeeV8g7vI5AP6sVwb3iYE9hmxyLwkaYbfxlfhien3U1R3w6wltJ27qPcLeYl951pxey8UtsILuH77ffY+Ix1zUPcqSI4sr9E/hpMGoBDQa8d8IsgQfFfxSnBnpATK9B2IT74uAzH3Fx9Beorn5kGVmtWiP7bSNG3ItM7M5ZG0V0UR+1OiDQ/NkDxZ5lkkQH31N6XVYT7wmgmm4Z8JC2tf0RPG+KLp3+Cr34dP0r0PUCnMHNkQwo3y2tHS3ZaTXi4yX6T0bhLk6dN+i8ilOc1sQBcdPsZ9+8pOfRBbvwePTenzlExC2zp3/JecnYGj2nIvY4FKtlfmsvrNW33TIm1qDdRN2VFumeAo+oJo+esJ9nPgL9qN0qrf3iuN1gvBkWoCnWK+0RaE9ClU22CYv0wbHLxhk7CAgMbzyRPgRIQnxCb/B3sF2cF28D+9HFhb2BWJdXrbHcvPabEdCma1cnW475bMCXp7wKocQhDkrPxOCDy5uRbiZSoyJvc85vwzJAq9qvCLbQUuXl/QZXhBvI2vlaf0fopa4m2x9s7hbhfglwY2U1Crbti3LUlNzta/K5Q8Qirt1vbu17wK3ot9VjP9ifxUnDizkVQv91kLfFY+Fforn878xx5rzVQf2632H5DM54KRW+7zcsrOarEJzOReI9gwoEiao+njB54BySwRGsuZcMBGmds5L8FtjTuSSnVs4znE4lMZHf+9JH/qfwK/kr+Abel1EmSCgkElKcC0kqXASPNUqVbUTlpWzS3PaJz4ouy57CF8mQxzOz1qgBHZENpFT88J4QXOJPvCMC1oErGM8hs1DI6iQX8qWr0pMqrXkFA7G6fcsNu5JW5s4jAenboRg9+izmv9XtD7ltw8gyIZMZrKtCKCHSphwP7yy6wwCXhiOz8Bj/nPkE06GMj8SJghMTGu9IdSR8UybB64rJ2rv0lB/2DpaT1uvlySS2CLer/00QcIAvEo+ba7cV/eSvYwY6aWzDL3PUQIdus6Y6/G98z19H/M9Tq6f0fVQ4hgy3ki2gN9Q7ksyBydl3/D7TiuNRvl0sjZTkhts21bxHPl62lO0RMIge5N7TsYnmAEOiR8KPJTqnSjZgrXl1wV24ZrF23h/+TX2IMk7zt0GrgljnrSKqnFhl1ZLTSu1nJwiI4OfVkr4q4XCMfpCvK++853vRNbupz9+psLWn/5P/1436Dkn/ggLGMshDJwv2JCpxdGYNFujaXy+CER6Vqtt21lpG7YWWWJqg+VHhAIxgIbfsbhFnxNK/EY0AQgPiCYIDZPa3AgP+7TBXRk9CKF9z8k5E4PYFU+Oj0gMiIc7Cj2XdEEWCil1ZBoRDSWzhhM8APNcB5u1vm7aikt2yxDXatR5L5MabeqGRnqDHRPYOBs5DU6hQjAhMnJL9+B2NO7o59v6vUiCgGMgCZdc5STji2hFSemw5eZ0WXpKrSVsz7bExGTLL8jTfam0ltZmPb/bFwjkG8JAZslCcQsjDMAH4LBgELkwxv+twfN4Pv8XC1ooqqQM8vrjExO6Vhmt5iYrliNITS+0lPQqK5Qzony0peWUrv+CgB3OUmRJ941T7IK4FTK3MIyevTWnXLNR2LhBhETscqM8RxhCZtJCQZLnxOJOyNICFBKpfkPv86rmjUgrvcoC+Qv3dMZK2NypjZaW1uxlRnU1B7wkrwPjqPkiLZMaaU62HILcaR2TncH1I/pggEciQYv1PKDn9bEuZECaKO0gmprbYUkpNbZtR5mMcJ0LXUTPauv1Xm0ntPHI2tKa0F7AEJNyOy+iCSzsp/yHNN23QwRK6zEWuzCIZB9hZPk+KPUIWkHMw7FTUoiAiqi1e4+urfeC1TbNWL6ATWpmkyWmVHuJEiTXo3dExBzYPK25et7GJ9lL3Ev2EEIxBAWDNu8sXYSErOMYIofgERAI+7lA1uNBObALkiLtoSZ8gaAlQxmLcpTUuOIvwOIZcLqn9AEjOsN8lcm5N1LSSe89mopG5A7g4lE8mjVqz+J0KeEgVR2DCzAjioHQOe6iFs4Yx3nJCT4Ei6hLckqJ5q7IqutqrK0DMt7rhJi9hXAcp83Ge+pv/uZvIov34PFZffzv//s/OGAmCAGIok8OmbhEt0nXzs7pdEGhUUQhkO8oYipwNjFBNkY4MQ6CEe9RxA+ASgwCyLaMM1h870RCFyOUa0XZlz6wbUTIAnjArlEKHzdrB7S4qKV1T5CFLFROlCov321JyeX2+OMb7LHH1tvadRlejpgs35GR2eoEnNKLKgGN+ob98h+zHjxB1IE08Pk5+MN9lT4ffpr3iEcsZrHn8GncB/4XuwpJqdU9Ky7qF5FqlJ8qsS1b0vU1TXu3THa30cEMWVsjka+i3xbZJbG4Fe8pfBCAn+DKwkBMTBo+Ovg9z3NBK/JfLmrJb/HaRAQhJ0QJa2sbvM9DemqxRo2IzKCA1gHPCuCEIz47/oKor4tFshUh2wZyh4CJwMU8k8GguZbNYq5d5AL0ab4YxwVM4yxbBCyfT9m68DXM69GjsuFaK05MZa+8H4Z8AESQY9J7dH/BGWQWkMGAOFlRMeb3GrE/lM+HbCp8CEAW0ciDZT7mhUiyOAC58TqH3NU3HPAyxOzsFksW7mLk5LTrd4PCF5NefksWVRygY+4RgMP7IP6RMSEyqeHZ81qfiDV8Hu4NYJdDgrhnEGKeh0jEa7B+IKxEuwuLBoz+Mc3ad7wX70MA0HuTRvuKPQWAns/c+taccIgoFSLvBE4QuebLSzybmMH3Gvw+Drh4NJ4gi2dGUtYR9h2CHOKclwDqGvDNcQCkoWFKfqjeFi/eZuvWpVlaar0LuQX5PR4oIrOO+wagD6XLBDYJ8IX75uW+2r8xCUcUnPdVGqwDfea41BfyTi8yXoMm2wTmajQ3CJCpKYjWxbJNtVGWSQjCzJVPae17cFNkgf30u7/7u5HFe/D4tB6fhLB1+szXnRh7CRc4EWyjdeo+gTK7Xq0TYRp63mLfMtJbbPvWctuZWK21qv0tH8BhIvW0ehG3on0IYkmXsC+Nr+kBG8qPWbP3jHYPBPXJPGTQswc7NanBGvXfx3ZHz52zObKjgwNk9N7QPrji9or3AW/SMxARuLxsUHsH3FVpa+Svlq9KFm6utoKiXisXXibg6KXznrUl/kcQRj7KKysG7/j7QKLhggxPnND1gPvJQEMAQ9CCY5HxRbYTrUfw73C3nKwWS9pZaps2pclXZehaiuQjasU322SjemRb4VZjsnUB/y3kVuwtiHjMrWL+hN+KfdfHDf7Gfoxbu+D74qSBAwcPyN/s1V7uFc5tsJKicnG/IvmqavetwVdh+wk2yK4MijuMhIxdP4Fe6wG761UfwtRxPydG8D+BV/lXxyNRUCbiWXMVIPo58KtYwNBrwY8RURDdxVEIPnNYllde9V8yTgRsbDxgJeWDlpbR7iWwdbSnoRxRGAH7iQ0Ds2DPaPbuHFi+Kx57NKdkXZHcEfzUeWuTzaPMu6h4t2VktXpGH5Uw+VRwyB9S1dTcQtBxPmvLDxqYQJRFiEXcetuzCymrPSb7TrnmCQ/U6zMTrOe0/pjPRIOfuSchaSL0vjwYV5NorVFFhkCKsJWV3eEYiwPDOGyoqVHYqv2M5omMeGEp/PPoc84fKZMkm8x7buu68JVk2lFKCq8j+4oBvwu6BbpE+N7/7pyPA8ve8V5l0+gU8hmhegg7QAIOQXuSOS7qOk5pXma058etILfbdsgWBGGrS35+Qtd62J/D/gxZ67RPCm0H8OvehgJsi0+HC2oc1bVyzfHJldiguPKMljxka/HeaDfFsjeZmY3exy4jI9+qq2v0fu3ur+JWSugKrP+YW33rW9+KrN1Pf/xsha0/+VsteEQsGRUZISa3rw/x5qqLNwBiGs3SbB0lNkeLNCW90bZsL7PVG/JsqxZvtoB4uf6GWEK5GDffQThCkYAGaYqouwhnGDRUXyZ2ApFLC3p6mkyut3zs309JpACkC16kA8ZlZXIOTEw0wvMjQUuEBRIMIPEUVgEuJh/DSG1qZeWI5eZ12tZtpZa4s1qLulcbLWrSK/KNw0DcAqzxf4A5Nh7gmUwU+hpRAsbipyE2G5P+QRhxslKqqqdl4HdbVmabpSRV2rYtmbZtW6J+JmurVCCrTs9v1+v26voGtaDHAmGQAQbYsFAQpGKBC0PMosGYfnTEv+drbGiJTvD/GHPIAa/L60P0ISk1cgD5hUWWlJprO5PLLDefUrFJXdesPvsZOTE+81XPTAriFuINIiQRldd0nxeo19okNE+PRUg3yqjXIgso5ajUrlQzjgbFOoiRkIMg7rD5piPV2LMD9X5xlAbyByFA4SclO3FnjaWkynEUC8RXar7qNV/Nx62j/ax1d13UGpWDl3EdkJHE4HoUQa83JGfJZ8EA7xbZY0304DBlsNtkvAETxaUDlimykCiisBmRNqnKsnPb3eBX1er+yBi2yuh1a955D4gJGWKUM5LFh4BG9lbIRtTYz72SIaQ3mwNgGRofrGv6p0B4F2SS6bPzWkRFEIF7EG/I/pNzyCvo832WoGujCS5Nb5uaILjnbJfPlcCIPuPoOPMkwDQt4KS94yeZaH5CJiRzIocnR4mT5EhoHGKICIWSX3cM/2hE5B2nqf+N68K9RFCvjwGF/MQptEREOjvPuPiWm9vjWZGUT9IwsqXpmHXqHlI2Rm807IxnLgjQ4NDoAzNNqrOcL04fIIbwRYQLgZr9jBHv1p6DiFCvnynHlLhTIELGt7yqUs4ylHjEkQXqwWMDHAObB8LWZ/+BsIWAChGFkJLBA3kkS4YyvtS0RnfOCDcAmThbBvDvAIDSeECA9mucjeHgkj2jcVSAaJa+OgKHHplbIIB8aES/B0SFPiHYRHwU2Ruvai0TCZ8XZQPwu2BkiBBQKSjssM2bs+wLX1xhjz661lavThaAKRRgr3AynilS482uRcArRWzYV0RCES/IzAFEInDFI/ZXfA2/e8qfw+fHFyMI895kf/FaRMCxKWmpNbZjW4HIQrJt3ZpoeXkCMzU1em6r7eoJZCEWt8j+PRjtqTgavtAXxcEYiEAsdsXfx+QgDsTwPwsDMWSt0M+LfcsJwm0CU5Sa5OcVC2TlapS7IBFEFTLYAHehjJ5+W26Tda8RiRAwvexFdtmzFqJ5RsjxuT5EueK7Pmcho2s+qytkLoVxRL/jecwr/8f/Y+exUYBCBB1ERUAzwTxKBSspddDcZWe1eS8nBFbERLK5mBPEE8QgxEfIKCIX9g2/Arjl9ZjHeA6DLyTbfMwFEtbGzoRy27G9xHttFRX2u1+ARHFfyGAk2BaLNNhmrhORxomt1r5nb+GzooEQGDIngvAVZx5xbdxf1hCfo7R0xLJzen098l5kZlAazvVDkhGNEX5cTNT94v4hbiFAhey4kBlHJlwoUfyeC1xB5FqYLRzKfBGyQnZWnBUZWhgEEVl4A/Kg92FuEZcg67EQ19ERTiLcmVhui57YYCtXJlpyUoXfM/ppckJiRfmw9oLsRMusr6dQQiVbwfzoM7GeuHcEbuKswPge8X7scYQv3hd/5vOoe052Mr6QOSkphSiQFVlhKcn5VlpcKZvV7L4q7mNHP7mPZpj89m//dmTxHjw+rcdXPgFh69ixd53fTJIdRVaSfELImgk+gXVC9iyVA4itGelNtnVLsW3eVGBJNGbP6bQyMrc8w3A6CAPiV/AVMqk64SvYf61bBAZsITiatcgIGb2IStiaO9of83/DBiECg60IknA98Bu4Db6VPY6gTkk8onp+fof2T61t3Jxji5Zss1VrUiw5pdp5VXGJ8HL1Xl3fQd9P3t5F19YH5qOyguCzCyQ3nQtSccBXsDnBZgS1IJCIY+nz+DUgqombVVbI9hXs0nvX244dhbZ+A74qWfsqRza2QvejUXu3U//fr8835NwqZG7tcy5EgDPmVidOnNQeC9wqFrlivxWP+Hexr+K5kHj3U/J98DXnV1OT4hrDstGd4pE1VihflbIzV/yvTPeqy8udm4V9vSqGXr39mpvBedxL8JbG+mBp2m7AiwK3IutGmCLiVj7cH8kvIVr5CKVxIfGD58DFCKLzOiGLFB7i/IqsnDG4ENweHHLWs5dqa/fqvgqrpzRadjbXK7tOOaIwBuIW5e+IW/iSwIO1TjRHDLgQ+kC8ZvBTaASUsiEe5Ylfpom7bN9RZokJlfKJHVpDQ1rD+4Thj2h9kbVFllQoASRry8tVuSfi85RNUiobBK733C8fnw1lgCeOfWN+UN3lI2RIcS8OHaEKiM/PvnvB1zyfBaxIcCYzq935ZHY2p1CP6j5ozcYZkfosvf3XtSa1V4afEfZBIJbt194ly5GKMARqMu7QIuCxJNYwXKvQCNrF21ojcD4yn9EoXre9wg4TwiWeyICvcmwobgov1X1GT+DeIGSXFPVbalK9bVibZwk7KjRPZGeTYXZQe/+4i87ce6qbXNQek48X7gmZ2SQ6iK/rvbnOGa6VkmNdA/3ryBqkwgn/Du7o678iX35a+3yfr4e09DpxqwJhwzztr7iVUo+uNZT7gtHYA7Fo/M1vfjOydj/98TMVtv7kj//Gu/D3afP1arFhkLo7z3kvo/a209bactwNDJHBkuI9rnhyzOumLUW2ck2WDF2hCGaTnPhuLxcI0YWjDsKZABY+whBKPIYMsWGISIELECj3iCgBcH14vOzK5mQEvBAQ2KiM+DkICwgMABCMNxPNRgTU02iNaAPXVFTcY6mptbZ2XbbAToUVyVCWEhGvHLc6+inpesksIU0ScAhoQ5hDuWZApPgdG5IoBv2pUDjrG2Z8QZRog+RifDMa9fqltmVTum3ckCCCnyIQVSCjAaBp1P3o1PX1uQEmYocBdsIgAwy4iQUuQA7G9KODhRSTARYWA8MdC1oYcxYe/VFQWDH2lJZUVBLhzdWCTbetO/IsLbPFiuk1UUOU5bg2NWQpSnNmnrToyXIie4uspzA/3H82DX3YMByRAOkbGvAfMiAwzGRDYKj5HZs9iJKkQM6LkfTzIsOKDU4mD8aTcldSMSEJ9MLIyGi1rdvLvByvqHC3nBzzpWtu1Hy5GMncXIicO6SBCJYIQkQUeE0nCgKbAH4cJvOL066SIafWOiOz2XaILGzYkG/bt5fq5ybPaKuoGvOsLb8/2g8IYr0yAgi1OOZBIlC+dkMvNsoJacTH8J5sWrNE9h0Iay0DhINSDhgOxg3wjGEK10q57wVfV5T7IiAnpdS5cwDwlJcMy7Ahwp7SZ2aurrlg5+LWGFlq7AvSu1/3DEaMeyifCAQOx+hpzx4RoqwUsUtO4Z8YIZ0W5xkcp2dHah7D/NEwMqoL9wg5ZcqzTrKysjpF0OutuGjQ6jVXzZqrdq65E0e5IMMOAdWzLegnE0cRyVwI6c2kbyNWYvgpFaHxZFXlpBUW7Na6YM4KLUmkt7C4VPswlHiw3iEM3h8o2lexuPXXf/3XkcV78PisPv7zf/577d9T7twBKjTqBpBhy7MFWJKSahxUASrjbIxA9KNsGQRVgTyackPE2ZuQ8SB6hCwu9osPAObHDAQwMlPCIOsF4VoAlUgcfgmyizBANo/ek6gnIgziElmo5eWD8qH1Igbb7XOfe8IeemSVLV+507ZsyZP9KRYJphSFpun0BCK7BLs35lFz/A3EAd/KfUB04PPNDfyeQApZQmSs8VwEMYQJeiNBoABIpcW7BexavQxxi4jKmjUJtn7dNpGHHF1fhe5d7Kt2y18PuS+ZEKiZFphH3Ip9FfsKMh4PxKqPG/HfYx8WkwReB5CECI14Binp6+/TNTfJ/pcJEOfLn9L8u8BysihHR8Q5qL8HcQu/jJCBjcCHzAk5siUI5QjmsQjhmVyaIwRNyEQ8IAEhyxbRi6AAvixk33pQgsycWKyUzeP13WZrbvErkDjWImuOdZiWWucZq2RgBEGS3jOAUcD8BQex+CVAPYTSBUn5LoKInlkH1tBrunCruaurn/aegrm57ZaaJn+gNbJ1c76XI+ZBfMExVZM+x+AS/BukgdfGrxBt92wJ2dUg/iHwCgRrDyDSIdgg3MRlkAFL0caBPpfnfK9xz0tFTAIZGNE6FgHS/Q/9WKLDZ/R68/tpgbglH4IYFbK3yICMsiDPhOzH+VL5aCBoRZlZoRQ0ROLJSkAowx+xD73UV3PJe3oJojAlohSCYHMLQlyPbdLafvjh1S5s7dxZaikpNZYl7JOX26X7RqlXOOUR0dcFY91/CAOfPQSxokwTfT7uy8IRZ7sgUvC++G/m1sVI4QvWAz29MoSNExOKNLKEBUusti40ve7fvVuvM6r1OTUnGLM/2Ce/+Zu/GVm8B49P6/FJCFuHD73mQgY4h8wMMpcoI2fPE0T3siOtPzhKsTAnGbRbt+Tb2rUZtnmjyCWneeZ0WWnRbuNEd+wfQZuGhsPOsVrEzcgKCkF54eBdBDbE44TjeQ+G25rdYRCkd5FCaxWeFGwOQRBhY+Ez+A29Zek9W9swbZU1Y1ZaNqB1jKhVbVu35tnipdvt4UfW2foNmZacXKX91OpBB0qnWPO+n1zcCvZ5VzeBF94vJAiQZeZftcd6NXoQs3QN3A8+B3adKhoOq6CvLlUbZOinJNfo/XVv1iXZxo2JlrQz1YqKimRja/Q/LXqNbn3GIG6xr8CAcYDz0KHD2l9wpmPyPcfm+NWpUyE4E4+P+iqeF/upOGGA14Tg8x7gTYh/pXxmblae7dyBryqS7w6BjYDXyTAOfcfIUAIXzFd9iBMQXNgXWqeQQMAgEO6iiTjTAXGrOLkj8KowvLTVfx+ELHwZYhYBdjgyQYy4EoT+t/27L4snMcfHdW8P6vqGhUPahdXrjAMLKsQ5SAJpceEUTkhARvxK1w738SEuD5+HK7LeOsSL8FVkKyOKkVVExnJ2Trs4W51t214if1XmNje0V9hr9XUHZW+P+2vju7Gd2FmCIwQD8Unwpf3yufhemr+7wEX20eH3vel+POjHFb6GpIlwL0JPZfw1GYwD/dfFPc66hoHvItCwk2QJ7S1aB1VWoFmAq4K4FbIh2SvikOIgBNcJshNsRxSCw1E66/0rxWODkCRMQXLO1Bt639f1nNdscgIxW0Nfyf4iO9Er4uRLQvXQLd8D3MsO8W80iOrqKe2j3Zab3WKbNxXZquXpwrTV4qm7okAMfaaP+j13H699BN8dGr5tw6O0EqLkF74uvz4h3EPPbA2+59o9YUB8ETtE/zzsA5gRzlmm+adMMyW12nbsyNf75mrvzWNBTkd0HKh9FZckoj988MEHkbX76Y+fqbD1r/7oL13I6sY4amJRbMmIgZA2NhzxhUitNxkYuXndHhWnbGvdhhxbvirFVq1Ns4Qk0uXaHYSjilbLIAHCIbtkNbEB5oyuJhNxIB6cdIZ6P6gNj8jBCNldCCtkpIQ+V0yap7HqdwhiXjIpcEGpYCxiACxCCq2IT6PApgAfJ+Fk5TTbFhnlpcsSNGklVpDXbkVOGgCFpEjudxGMGmCuGUIA2IlHIAizkZh1yNNuKTuogFRps3h5Znabp+Zuk/HdsC7Z1qzeqsW5TRspQ88p1j2p1KJs9kWCuEWpx0eNMIYTAwrYZ+EwEK7iEf+O52CwWWAQeP4XkQxiwOIj0s578F719fXa0GUCpdm2I2GnbdicZttFaMjaKhdhqtX8NjZBlkSUWAcIkTLC8/NyVxsnZHEhRHmmHSIKm9bFLoH+ePgm1+BrtOnjv4WGgxx5zyZ/3oUzhE4yqQD2CInUfRPp9Jp6XV9CQrVt2FTgJTo0VWZt1aL6aw6IhiDy4IxRuxGt2KTdPQhdT2m9BaLHegDsQwZjQZITx0q9F0qX99fatq1ExC7Hj9+nLDE3r8tKyvZYhdZ9rYxeEwDCiWQQuDwNXOsYgctr0AG7Wqf0yeLABEQfxoQLNqHnjYNh1jiijT434k6IVIV1S3kNZIbm62T/ZWg9kcpLJllKcrUVF9IseFrrlJR05orPSTq6DPCg5miBEDkhsoLARiou2WOBwEHWguAYarFF3nEI/9SQo+B58cESOFyETV47nFwp46h7gIFtbT2h/UBD7AHNFZEaGeOC3dp/ul6BMESptjbAl5wG19wXbADGnXvBa1HO6EKAkwQyF7gviNQy/Jq/eoGEkpJhgQYOgGDOCmx7Qqb2dq5VVVc7wCAS7iVU2gMLo3aAk7/6q7+KLN6Dx2f18Z/+039x+4BggNBDCSI2nAwMxN/ExHIXqsu1t0M2RgABEFYHAbJp+Av2IiQ+zsJA9JgTPBxYBkFj/36EkGjIriGMePmRC9YI1UEQCKLAc7K/obzDy8mwa2Q8y2YgMgH4q6s5brrLdiYV22OPr7Gf//lH7IsPr7AlS7fa+vWZLm7tTCi1VNmgjPRGy85q0fM75cNoKD/onxdig0iFmMLnwz8BLOd81QIhK/ZTEI7KqnG9xpCXSVDGlpZWK7JdYhs2ZIj4b7flyzbI3iZZfj6BmBq9dov2XrcTcE59QuCayzSO9lWcbQzAiaPiC8fCAMwh+S+eT2bWQpLAPqVkflh7lr2LQF1bW2NFhQWWnpYuYLxThCbD0lJrHRxXChyHspcj+ryhsX58aqQHNjTH84IEEXKE/7gVAnNFli2EguwkvoYMptDviiAafizKYOLv0dxiw3ldgmcQxN6+i3pvjr+PsgYpFRSATxCQT0mq1X2OAn1gCxedEOMoJTrjvs59lQbfI1DyOThsIxYkWS+sYQgIp0IiRCYlVQhTZGutZNj2bcWWmdGkv/VovY9EwmcQ/RA9CcjhV/CtRNlZjwQh4jYLBAK5P0GgYc3KDpNFIRvswQrtGXwmAjGNbIvYYxktWosDvgYhr/gsRCA/dEf3x3v96L6FUscgFPtJid7LLghcCFTzbQtC6wIXu/ga/S4IWaEkNA6ukFXnPgl/pP3pvcm0f5kb/Cqfz69Ze6C+fkrruMVWrUqwL35xmS1fmWBb5S927iz3rLcs3UvuG2SB+8a9jgVj5gSfBunCZgTR9KYG/in4KNYY94i/87wgDoA1zmhNzjoBwS55D7vkSvmqPO1tskxytX5DFNwzIqPs/fgEUjAeZPqBsPXpPz4JYWv/vudDZpTjvBjTUAp2znlRk/YWVSOIVoXiVmnCuYhHq9ck2+rVqbZlc6F+V+dZoIhH2BTIeWXFXu3JKQ/K04OrUVyNRtiIKHN4mOC87Irbml2yNRoIG7SV8WC9hledtBMoOulZK5x4WttwwHtmlVYMWVFpn3A4olaN1nCuLV++wx56aJU98sg62yg7hL9FfMvJCteHj6qh31a9fK9ei9I0/C+ftxNbp/eeG4hpXResvR2+dlJ74oR8mvC58G1d/UE/fKNUeI8KgDT37RW2Se/Jnl61aovuzXb5sWxxmFLt3zrdT/ZUl/Zrn/boHtm0Yd9bMQ48cADfQyBlnlfhuziFFz8V+yp+F3Mt/FScLIDfQ9ACW5K9AtF3flVXbyVFxZaRlmnbt+7UfcryAAT7H66CAIltp9yLIBf2w/ujIZYTzAWvy8eQpBF4FckbgVeBtwlUx8PFr0gEY0wxZAcJqvuhI5OIGvJVwiEIHQQ1dg9ckw8gsB8qr1xIrR6zwqIeYfU627pdc5jerOsNQj9BDAIX+JEW+aLWDq0p+BMBRa0V1gtiqs+X1hyfjzVYVzOt+R/2NgrpGc1eabJpS4FGoe5HfWRvqZKa1v9w0Jx8lNYBgQTsaRxA8MPA8CMISPK/3lZAn9Ozrg/IpxwMGfaeNEGm1AzcJj70TvdMvIf7iV8gG4wTPTt0vfUcflI86D5sx44K27GtzLJ0nWQ9B3ELTHXU1+JCobiP6hjt3T27ZfupCiKbSxyO0llOy0e4RjAaJ7lAY3yUjCgEJHqUi/vFlSdRoJ7sRfgPAiHJMmgVjQ0z7mPBZ3l57Za0s8JWrUzzg09ShHsKCrod02IrwH1UooErsSWOa/fIpwtzoocEDYUEAeEeDe9vx88x94R3ymdzX0Iiibib1mkRGaPyi4nykQQ7t23NtNycIv0tlM+TteUZ/Au4FXjuq1/9amTtfvrjZyps/eEf/oVnZbXKqAQx65CXENHPCGJaUQ55GBRQ2OWZEomUbWnBrlmbZkuW7dDYZhs2ZWox09C0U+Q2GF+iiDQaRXlHFGoRGW/1jCiMbQAPZNoQ9SSVtk+Lp38AlZTMLsrKoppeLXgafnsKK05Cw0vL9NwgioSmuBhqNgsABfKDqEWGGZHvpKRyOYske3LxJgHlfMvKbPCabb/e4l4rF8BBvMNR+MbWQgPszA39HEjCfoF+ESoZgPKKEeMEPU6IzMzptCRt3u0iJZs2ZdkaGd/lSzdoca7V/UqUc8i10rJSAcJaLeRWGcQuff5d+uy9+gz9vmCGIkM8MbHXjSjGFNGKBbR//wEfC40siwtBjP9BHMOQ8zpEEXhtCAJqa2UlJ5cUyjmly4jtsDXrE2zj1hxLz6RR+m6rqJzQ4pWDRCySc8No4YgAxZ6GGpEFQB0lq8PDRCwRarRhMMwyoijjRMkxJkSD43p+Nrw/B8EFYUyb3JtDyuAg6hDJ6dY6ANgjapHKinGFfGF0Nsmxr12fY0nJNZrHLv1+jxuhWq637rA+36w7dIwsBglxDsNLNNlLcLRpAeCetaB5ZA7pBUdJbaHIYmZWq0im1vPmPFuzJl1rOsOjDBlZzZZf2ON90yqqpiLxD0HpuK8xDBJRLowyhoV16Mo5xiVO/dbwn4e4bwDjAIgByl7a6pEqIrxEqoh6QH4PedP1nPxuS0lr0HyJeG7KEdgpFLhptQpdD3XhCM4tLZEBlvHt9b2jvaE9EgttHNpAs8693qxTTkIGHzIQZy14qSTZJv/U0N89AjT9mv4/OAuyIzGYfC4/mEFEgvvtR8FXjFpWVofuX4VIRLnl50XREM+w43pPaE4AXACrsPfDvg8RxJC1QESIvQxJCBE85hSHgz0pKOj3+vgwZzlaHzL86Zmap/msLQTd2ADHmVuIwH/5l38ZWbwHj8/q4z/9p79zMZ5jm0l5h2TjlxBqUkQKtm0v9ghXbm63kY2L3cYfeOaW1lTI7gnNtQFScfaK26sFw0tiAZsI1IjT0cDWeVRMNg0bGGdtuDAr++iih+9tAUm9H/sa++MlHVXjLlClpdfKziTbL/zCw/ZzP/cFe+iR5bZ4yUZbuy7ZyxMTEwotJbnMMjOq9bka5DsEvoo6ZKt3GY2oKytkkypHtR/GZcsmXWSggThiX/i6T/Z80sUsstkq/X6NuPBSKJuWldVmNLNO2lnmQtoakailSzfbk4tW2foNW+QntJ9Kgq9C3OKURPxJr++rQX3mUX1+/BTBmFCiyP5iHDzIEIFAwIrGh4IwGnvlu9xvEfXW6+D3BiK/1dXdJRvYoOsts7zcHN0H7gmiX6KLcGQoQRjwvwQnmN+QvTUvGBHQ4NCAWJQIIgTAOQg5iJrMYxhhXsMaiNeBfFY815rjeH6x32FuCUJACmWXmg97FhzHh9MHg9JOGpXTI8ePFRduCmIkgb4gOpERgSAXC5FhhGAaPgYfQEsHSvGZY8pRwTAIkTu2F9mG9em2elWycAYlmjXGaX9EyYm4O9klS6yJTAGyt6L7EhFcSC3H57toI3vLXvBSJGwwttixFD4plCMR7OP18MmIa6l+cmdXtLcOui/ktfz+CqtxPxGbQuP1WNyi9DOcVOnlnhpxPzv6pzCOzfWHocSGDGFKcQiuxKWgITsyCM8hSyuUAUIa7rqoxecK5TAHdc9HdL+q7Mkn19nnP/e4LV682Yn49m1FThoQtxAKi4XdHPtpv/B/4IR4LQWBK2TY8RlZU3x1H+WBs+CnIK3cBwRJ/p+9Tukoe43T48jg3yR8zBpOTk6XDShxX+UBTq35WDDeF2UYc1DDj3/848jiPXh8Wo9PQtiamLjrayZkuZAVFSoG2PPsc8oLCdZ6X77sNtm7Ktm7XFu5KlE2eav4Q5JtFdcisEnmH5kw2BmeT5lrmdYuvYvoF4cdqq0PQQ/E9tjWsC7jQbYOmcMITnO4WM9FSILbICbRX7aoVH61SH41r9VLk+BMq8VpHnl4hX3hc0u8vHfjxkz9nv1UZVnpjbr+dl1Xj66J8nkEY0rowaqy0bJrfOZwHcLq+ooNpKwSIYv2ImTNUI0BySYzDduZn98rvNcm/C/fvq3Y1q1Lt2XLtmo/r7VVq9bJ1++UXcrT56/Q/g3iFqWBnELf34+/GpD9DskD4+MT8umTsk9TzqH27ZuWLdkf+a0QbIn9GL+PuRa+iv8nCQFciaAFyWf/0ry+sqLSCvLzLS0FIXKb7kuyfFWp5qlbNnnMPxO2HZuC/XXbS6ABkUQ8iAomr1wSPyIwzVcEL5IIxsY4pRKRhp7BDDCJfo5wCu138FXup2IsIj8XBK2QMICtiksF8QvMS3FJvx+ssWUb/EJ4I7Xeyz3xrb6etA5qZPfrm8R9tT4atZZoy4J/Yi7dTzWwbma0bgLXxv/A/ckCI1sL7rJuo7jwuixLkM3Nzmlz8QzfAT9nPXjQ0bPZrrgPoUR2RJ+Bz+O+GSwmf+KBKK+CoeULwUWEPUS/V/1ve8VvKPHzeyFMx71AP+A+w69axGtJCuDgkMz0Ztu+tcQP7KFUPVt8oriw3/chJzeyDhGKPRtS3AYO4iW/2sPz2ZBwFnwn7QPE7QbE9faIG5NgsEf3Hy6GluEDTBiys/l/eE9IYgA/hHJf9/Paz3l5nZYqDLFW63zRoq22cmWy5oZEi3bvM4dfqde8kLXF//PZ3D/B0weo4NH7ae59IKD6CLgULOT4hWuAc4vDeqsm2SG4G8JjWgZJCQQ7M4Vjki09LdvKysp1P0LWVixusR/QH9gfX/7ylyNr99MfP1Nh6/d//99Ybc1BTSpgatrTBSn5gjzQV4EsDEBaBs37ZGC3CRxskFFbuWqnLXpyoz32+Fpbtny7JSTQcEwGLrdLN2m3FvGQb2xOC0RMoJaV7Jc6GTEHo7qpgEMa2QG6IMlsQlTIkBGDYBDSViHALmBBfnEUnkIbnAXAAjACOCQyCuAFzLuopWtJ1SYD1CxfIUexertIcYGus9KyMmudOOSKOBQUdglwzKf7VldN+UYAKMaDptV8HlRphD6cC/fFNzKi1s5y27Q1TwAm1ZYv32pPPLFGi3O57tVmS03PkOEo1D3lyOdGLcxmGfdWaxMR7+jqsq5d3dbd2+NAZ/fAHi2eQTekIyPDNjY6pk0+7oaZrywqSDt/J3LAQiPSDTFg4dFTC4W1QeCpqqpK11qsz5mtudtpm7dssZVrNtmqdUmWmFQR6uN1nzghAuMEiEXYJBUYYSiUuhDpCfPimVzapGwUxJqhIQb9QsKIBZ0g6kTCDiKlxoeEHQzu3OYiWjSr62X9TVh56aAITIeMTqWtWJFiq9ak6VorBUZb9DnCqUY0kq+q1LzIqJJBxwmPDYiyTUdleOWw+YrDlFMlYg6xQBGHZCC6YoBzcjtcDd+xo9g38sqVO7WOE/V9tiVTsiAQUSCDV6I9QOZWtV6jrvGAAwHvc+DrF9JAOWQAwTQ4p449DNLAEW7IUGJcklEMoDisW8jDKXfwOIo6DFzNXiuSAcug7xfizZZ8W7c+TQ49w1KSaqyIrDXNFeIWGUxNMtiIxUS+OL2xJ9ozu5mfYc3JiMjcKFkLUQmKDH+Ihmh4tgrZCh8/QokKzlMOBhI/HPqIMIfUZQP8mTsMo58IWtgr4F7rmZxb5DgQFyhfIWsBwZjMrRBVRHQkqsh1IxASvZPziAgCr4nIx3P5fMwt2WC8Fq/pJ1gKOACs1m1ItB2JSQIReboGyn2bfP3HGZGIvUTZEIL//M//PLJ4Dx6f1QfCVkWF9kjRoHxMn9ZDh6e5039jp8DTFpGALVuKPKuYPR5nzCBAAKbJsMHPBHBJBlfod4R9AggR0WIAEGNBI4jTYfjztAcY9AwJogD9JuZJr5Nd2QXez0mDbCpgscTL/1pEBgrdN/zcz/2Cff7zD9uTi1dpj2/XNRfIFtcJeLZr/fdpHQ/qdUf1HuO6zim9/qRel4bkkAbZ7HIRm7JBzzxFuAJY4vcogSAySjYKf0f8w1fRoylLPjw9rc5SZfu3b8u3DeszRBAS7Qn58IcfXmpLlqzS9SXIzubqNSv0PrUOaui51d7eob3arWvq12fu9/0VfNS80BXAznxQZmpq2kut2H9OEPS82Hfx//g7+k7yuu3yhU4UKiutsDBfPjpdmCLB1q7dKNu8xTZtzPYSzcKCXtnAEfkrkTmylOayt4JIxH3HjnR2IXRFmQqacxe68F0Cm3OAT/PJHAef9eF597/rucxxLLpjq7BTBGF4z1qRyfLyIe+BkZnZJJJXKf8vIprC6ZbdvgZLCY4IT7EWXeDS9UI+CaDFXwm41Gqd4GPoVcMBCPgp5o7TwDI4aVn4IpQppckv7rS1a9JlB8s82Mhpifhx8AkiFMIm6x7bzHUChCGyiF0QW7e9+hwueGlwr1iz/D5gqUC8XSTV9YSTHmV7Zd/JjERsq9V7eNaW/B/r38Ut+QgCXIhO4eTbqOk60XZErpm43DO0LFg44j5mc9mSBGAWjPlyUPkkiB/kRfPHvDK/HR0IcUS+92r9dNvWrbki4kvtF3/xYe23DbpvqbZpU45n7JP5lsZJhTSTF6CnbJTWBC6W6nMjCIT7RGZ08PEhqy60quAe4f/x3WBZgp/MZU3dtLDuXr0e2LND2LNaa7jYMeHq1Vv03juFufL1XiHDmHUPUWY/jGtvsG/Ihvz1H/0osngPHp/W45MQtoaHr/qeAku30sJEeAas54F3z9AIWJQ9jv3YubNMuCZL/GGbPbFonY8VK7eLv2RYQmKxcGmluESdZWY1+/qiqoFsZYK0xaX9VloubFw5ZJXVsgN1k5HQdUDrkyycMMDEiLhkVdXoOWBOAr1lBIq0bguKey0nv9Myc5otObXStm3PtzVrEu2xR5fbz//cQ/a5X3zcli7dJF6Talu35VpSYollpot85zRqL7WKgHdodAo3k8HVL9snTuU2SRyw7oCLIWGID8pG8Xv4FrwTP4lt9yzs/B7vVZiaUq/PXu6C3+rVSbZ48UZ7VNfyxBOLhdXXax+n6v0KdT8rXdxqaWnU/W7Rvm2TXaCvsfBg/y7tsyB0DQ0Nuw8KYte4+yWawC9MFmDE5YbsTfYofooAD/iS5AT8YrX2cXGx+FW2+NVOTl/d5JU6mzSH6emNVii/C+fAvpNJ7ZzB7UmUDQSf8uAL/Ii+Z2GQaUSWTxhUehBEC+XPcTDN/RTCmPxUzKs8QOFBYjgyCQNkaYWguWfeYpvK4D6IhTWyh0W2aXOpsEeTc1lOL+TkWyojKE0jgFQlHwv+5uA4nz+GC5AEPKadF9M2hv+l0oV2PM5dthbYmnXyVauSxQcKxd8arEAYJLa1BKUCz0TcigW/KKte+CqUbN4P/MODTlEAykvog7DnbYjGEQSf9oA+WUsIOvhsdAMOGGv3zMjDwkYTjh0ydB3bthW6SLpRmGKnfDYZvPSX8qBZOQHDKc9cRNTzpJw5kYvAPNmOYIpIq3Cxi8BQEK8cC/rv4Xrz/U7xIbF/BT+gVeAvKqpGXWjMzSN4VSf8mmuPPb7eHn1svfxGlnNRtBeER793YFrELXFcPhscGj6JJkKihWskXIPGQlyKj+wWT0WoI3mFz8Uc4K+K5c8RzXcmV2uuwBgptnrVNvmuZO3pAs11jfsrxC32QSxusUe+9KUvRdbupz9+psLWT37yP2lhjgmsjGgMuSAEoGKhopgjDpFaSInW9h3FMrJZMjA7bcnSzbr5q+wLX1xijzy6yo1OQkKJA4ZMGaQgcPXqtXZbiQB2mQA3DebLtdGrBIpqNal1DQAJxAIBME0U5WUsormyOBYEYJJFoQlk0DSRzA/6YbXIWQRgATgEVEwIaA47kOeEwlQvWSrSdedo4sq0oRr12rv0On16zd3W0TWg1xu0ljaRhTo5hQpKPgCje1y8YqHzPQsqEITd/plQ43Ny273sJYVIamKZNnKerd2QbitXJ4isrLeHHl5uX3xosS1bvsa2iiykZWTof/P1+mUy4JW6B7VW29hk9c2t1tDSZo2t7dbc3qnr2aXPDtjv1YLssT6yuvr73LjGA2LBAuPvGFsAEgaXEwxYgJQf0lgRo5uXlycjm2qJiTu0kTfoelbZkmUbNI+5HrnM030qFEnk8wZgHDLXQrmfjLGMj5eTInTp3rtKrE3d10tGF5FfTv2gLwWNV8Pge/+dNhZ/Z/D8eJO7iKHXBHCT7cPJJ2Q0UM+frw2emlItJ5GpDb7RVqxOdhGOqALrkHp7emPRsJLsJoxkde2kkwKiToxahjvMCRneOGMhzCFZPwhkpDcniBhs3aJ5W5ei9bzFHn9C7yfSsFVrBgElK6dDBqXfilgHIjDlMkIAAQwSQpSXmOgzhDIGCBWGBiU9NAxGsPGh7+mx8lGQg2iDg68WQaKnF/uEiJz3UhEgJhNy9epEW74iQUC9yFO+iwsRYMnYmHSHiZjXQgo6xET7pEsGbBdzw/0fIBISC5FklMUlKERFQvbCPznciQZi76KkC5LzfUT4vPRiIFqIYSQCtEnObNnKJO2FQs+Go4a9VPe8SoAFAFNXRzbkYb9m7hnEIBCE0NgaIYD1QJNUsuQQLquqp912IJx5hl1ypW0RKWfOVq4SiNi8VXOZrr1ZpGup0n1t1n3u8H3BPomzt/7sz/4ssngPHp/VB83jceJVAsLZ2d0OHoloUe6TqP0CoEQEJupEJgu+hwghAoQTVgeXgJS4+W4QVlnTDIABETnAwMIRhGkNAi4OFoLQEYvaDiAj0OJr2e2aSLYAEiITJXQ5ZPXqOtetS7XPf/4R++IXHhJhWK/f5wt4tcpe0htuSuT+sB0/Tu8PmqzT0PaCXTh/yc6cvWjHT5yzmZkTAnqH9Z6yeTUDsts98tW7ZNfC4ARVBoSdbDaaxJPRhq+iz2SSfNX2bQXyBRnBjy/ZZA89tFx+/EkRhmUCNZt1P1Pdb5SUlAm812rf1mtPNuhztcoXtMuGdepz43fkg3rxTQOyMwRkhpw4ICiHMeIlhnxPZlYc8Sb7C5/FPqVRPJlhZLGwf/FZWVmZlpKSYls2b5E9XiuCt1rXuU3XXuG9tgr12RDtiLJi/ym3dDwhogSRC3jisHxhEHMA9ggVzBeAFOAZZ+Bg00IEVqBaNi4mCAG0IlQCSKOSHdkqhCKIISQBrME9zsxssaSkel1zs659l65NPqmazDkyvPf5ekWsgrj5V4JkGgQEwvf8DlKHGDnk9hR7x9wRLEyRP9yxXet7U7YAZ5I9uWiDyOW2AHwFzDPSmzVfQUijSS/k0AN0BOUglLoOItHYVre/AvqeKcGQjycKD47yaLz2CcSbPUMkuULXU1jU54EeQDYCMoEn1jXiGfeWgz3YFwtJCdlUfiLbJIGSl314m4JoEHX3st5ofLSBfVziuzBzEr8EoUPQcsFR80NZFc37PaipayYrMiuz3rNefv7nH7Zf/NyjwqcrtY4SnMyQnU2mCf2BUuRnM7UvaPYc2mgEEo7I2MAaQhR0PxVE05BVJx+F6Kd7hGi9sNS3Un6qrIzIuzBzesjW2rKFHnaJwl3rNF8btQdT9V6l+l+RcBFkcBt+Ku5lB7n+4Q9/GFm8B49P6/FJCFv9/eeiACsZSQcdlyI6g0mxX4hS4FnnEbQxkV2GVC6WTX74EWzyYnvksRW2ZPkW5xabhXsSZAPJYEpOaRBOJKjT6lnsBEOzclssN7/d8oq6rVBkuVhrsVQYmVMLeU9EFvY0PrFSWJZyQ1puwJfc3mgfZOW0WGpGnR8ytWWr7I3W7uOPr7Bf/IUv2i/8whdkd1ZpXWcKp1dovTfrs+2yLnGonl2jsqfj8gdj1q3v2zuGtVc4yGVAtgL8LD4lDI1gUiaeEbgg3w+LX+k6hLGpIMHWwK+yhfXSkustcUe5B6zWr0+zFSt3CKOvcV71xYcfFy5eaTsStltWdoY+Q6Hsa7nub7XsEgGZOvmrBvmrFo022YgOYfAu9ztkdMGf4gANfmlwkDHog5/nfJWeN+er9DrgS/hVSBookW/N8T29bdtWW7tmrS1bts5tDX17SXog4OAZxuI4HmgQ9gX/wwXwR+AZfA2ZNHP4Qz4JoYQSOM8KirJ/aA/Dz/io4KdkA/V8/BR+LfDlc86v8Feh9cpRXW/A6WRM5eV3upDFAU/0w8VmNTXOWAvYCC4jH4CfAHtXym+VVYiXac4YZMsTpKGKq7xsXL4GbBOCjGQV02vbk19IFqBsVPhi6bIdsruZnqiQIz9ZRGBK802iASWM3A/4JRgK8QWfHASu0DdzPvCkId4Cd+FrELJCJRf3JSTAcP+E5XRP8Ulw1hZ9nnrZ6PKSIcvXXiOrehtcHfFG3HKT/AEVIGQrwenBTnDhUvaMeCX2HVwBnnNfidDleEIYsp1gEEF5cGAYYMo5rkegPsIN+A/8K6+Df6mqmdC9HRK3xM+3iYvXyi/la+1ss89/4UntuXUucpPt5lxUaylf987FLe1fbAmC3Rw/B8/qOriPnawBXYfzTg9aCZvqOVTmOe/U/LIe8XXgDT+cQZ8fHWPT5iwv9122dL04+Bbhj0y9Z5TBH3ErdAf2DXvlzTffjKzdT3/8TIWt3/3dP5ZjlzHJ69ENFhAWQELMolEojdYQAHYmVXmZBzd69Zogaj32xGoZmCUCDo/5RCxessWzXTjNg+ap2VldWiQyapSO1VK/KpBJyZgGjb/Z3IhYNAKvrzts9TWa8HjUAh7IvCEiFrI3PIOjicVB+ipqI5EPkQcBWhZJReWIgwpOPKR5X2pKnZ8etGNHgTZkkxb+kAATdaHUVx+xw0ePaszaocPH7ODMcZuYPGx9eyatTUa6phahR86hqEuTTmREI69D96fdsnNaLTO7SRuhzpJTq7TwBF625dm6DRm2QmDqySUb7WEBqc997kn73OcXCZSvtLXrN1tiUpIcUJbudamVljTIMLSLmPRaXcOANbYMafHjDMats2PKujU62yasvXXQ2lp6rb2tR5tUw0WvTl9cEAwiBwhZLDii3WRpsQARtSD6GN309DQZsUTbunWzrVm7yhYtFoF5fKmLJRwxn84JEXKM+USY5Wg9HTUCeEQ/67SxG+pEFrQhMXqusmvuOjFG2rhdHGcuQ9rTfVbjnPX6Vw1tLAZ/6/Jx2p/PaSctgGjAoQtaRGpGg9HVPU5Pq3GSulFraf2aHBnEand0BVqjHp2SEy7SuipCgEWAFEDAQZcKaNPvzB25vockBEEyOMuCQq1vAc7srA6t6WYBdK3pbYVO8Fat3G6LnlhnDz+8SgZlo+5TutZ7qYx0vTa25lz3Jlf/XyjwW+zvJyOv++PKPiKa7g9CDJEojF9LK2ITpAq1X99HDoPP7MJNBHK8rJWIh66VTK08Iv9ZurZkOXPW1PoUOfOttnjRRlu3OsOSk2r8pBxSZyEwkKJqkZa6+iAWkeEUjG7IWAh9VnCcInN9NC0O2WS7B6j157RS+qh9/BjYI8eq5/F8jwDJ6dCEEWEulFftt0qRSsRCSPtOEYWVa1JsyYrtAmB5mketK8QtOZNSzRnzgUOE5BEBQtBzoqV7Qj8+L78RCUP0hvCVC4CVyZGSMVeg/4dYpaQi+JE+nemZJkuWbhCBWas9niB7la01VKJ7Wu17ARACacAIk8H1r//1v44s3oPHZ/XxX/7L/+GZIETliBxmam8mJlTIjnGSVI4AFGJnoohkimxelYMtbAbOGyECUoFDJ0vGyb32JOAP4MGeYSB4+SEigBYPpoQIK/sJwBhELITd+ayNQHgpQ5rRdSFoaF+7Tdsj0Nfr+wCxftvWXFuzeoeub7NsXYHb7yGBAzI16OtBX6pz5876iYJXrl61azeuaVy3Gzdv2u3bd+zmzVt27doNu3Llhp0/f1m+64wABllLfbL3bZaX0yxS3yQ/02TpZLIJrFA+RmZqUnKFJewo8R6QmzYimCfZUvnsxx5b68LWww+vsMWLiRJuk69I0vXmWG5OqYBrtVWWC8hXtmhvtctmdwuQ9sie9cvvDOgzDOhe7ZaP6tdXMs36RWyIbjN6BDTnAzBxEIYADGJWIz6rsdF9VlVVte9ffBai1tatW134W7x4pT0iksfpkZThJSWKMCBGyFcUySZzDD2lZ1UiajU14z7qG6ZkW+hHwYBQMDj9CLEr2OaQMS4ACgjVvDIcFBLV1PcOSBEq24Q7NL9BzAjEtNqDJcPyST2OkVJTue+7NA+HREjigwpCUIDMZggIpIPXYd3SJ4wTmchqdz8mH1VULHLppG6Xk11E/EB4KyOBhABMsi0BXzyyVGOVwOc226J1n5JcaRkiKznZXVpXvVoLA7o+CCyZygLl9VrnTaEUHCBOr0MyBvja2nra/86hP/SEITsdUcx9sl6HHiRzfVMSKnUdxd4gH6xQrechICIsAeohWJ41INJFywgv/aSXzGhc/kmJZ1T+SdsC+sssGPwtDqzwv54xGWdIzgVXgqgMcMcXsfeY2xr5olJKbDIadI25ntXxP/6PPydC/rA98ugyrfcEre0U+fxc2YYiPa9c97lW+I6WDK2aC7IJIA7yVRXDLgQgArCXEU09a8EHAVTtbzLrqiB6YA3hDyfnu10ky5IPp3xsq/AFBG/F8m0i5CuFkVfKVu3QGs/V/JdrvdRrLQZxi73hJFv24Pu/+quRxXvw+LQen4Sw1d113PcT1RBeBQM+FWYtLunTuuv2jEH4FWIAPozKgSDerBWnWiputci+8MgKe4KyxLUZtmVrmSWnyLandwjvwNf6o9HnGDVDGCk9q8XSyMzNahdPEd7N6ZZN6XHhCtJeJBtTVAyO7rX8Qv7W5YSe08HTtHeSZG+2JxTYxk3ptnLFVuHh5fIPj+rrE/Ibm7XGy4Xjd2lPjtjkXnoCH7XZo5zOfsZOntQ4dcZO6OvssVPOq8YnjsgHTFtj86j2y4DwuvC7bJ1jcl0H18UJwCFZQJ9L3A3/hc9KTKBcPt8b1XMABBVCDz280gW/hx5ZYstWrLENG7fILu3Ufha3yiuWLa3UfZbPqqyTPWuSXeuQfesSf+mWreoSFmd0yA90iItS3UJCQJd8O8kBPbLTjH+cLDDPr2qcX3mmlnxVWlqq8OcO2Zb1tmzZcr9fi55c76dHglex5XAb7CliDpwHQYeMm1bhde9D1nbKDzsLWbNhBJGCTB+yu0KVB5UZ/Ewrj9DAnaoX8Mh84CXgkaMeoMDXUIUF7kZg84yq9Bb5lFYrLNij9z5mg3uu2Pjobds7fs8mxqjuIBuMygz5LGF+OAXB5WLh8KJi8akiMM1u+T75K438nB7LydS6S2t0zOU6wWbhnLUptozMwyc26r7ssC2b8y0tudbytOaLNefwgbkkCmExklQIDsbBxiByhQA9PS0JZPgQJ+Gr+xkXs2jpQusH7o/uGT4dPCdc16zXdY6pe4+gRk9K2hJt2Zrjgu3SZZT77bRNut6EnWWWIu6ZmSU/KmyRp/1RWMp6HfIECoJP2HzuBVzFe4iDH5tmhSvi4AdfGQTuEcEIHIVgvZf7it9gB0LVF0kyWvMIyak12v+FnsTw0MNL7Od/8SF7YpHwzoY026rfc1o/p0xyoi88loxp/E5YT/h3XQv3kDUFntWYuxathcA9dR16Htl2zrkRK2WLvD2F9n5yqvyV3osKoeUrtmjeVtry5at9b+Xn5wtPlDtOi7kV+wNs9+qrr0bW7qc/fqbC1r/8l3/iAlRWdqcMmwC4Fj6lHGxK0hVpEEjjTYwuCmwQtdbYFx9eap/7ggzvQ0s1CRtFKNJt04ZSy0rvtqqKfdbeKtDdf1Ob5XnjmMzDh74UjlM/yvGdGvr+yKF3bd/069pMz9lA33XraD1rDXWcrnZIholeCWRsRFk4Wkze40rgiyhopRwGxL5MIKSkDKFDBrJARpqFkkaEk2ahBVpIrQJJk3bk8KydOX3Wzp8jAs4R5BxHftEu+tfLdv7CJTtz7rwM8kmbnDos8ASoIerdJNBaq01Rb5kiCZS9cHLAzqQyOYAi2yyysm5Duq1YlWCLlmyyRx5bLae0TE5picDnGluybLOtXptg23dmW15BvYzNkHV3zNru3gs2MnzTDcr01DN2YP/zNnPgRZvZ/6IdnHrB9k3ct4kRmtadtV1dNGKc0gLdLQPdJkDUpNfByNbpftQ4mWdQxkFGWGFhocBVlkcSEhMT5Ry2iCSsFSgGED9un//iIk91XLs2XWSn1FLlWLMyGwVgA8CrrNqtjUjEhdKXcW2OvQLAUz5amqdlMGSMSNsnJbLhoLU2HZIh4fS7YyI4xzVkpBiILPodo1UAlKgA0YH6qMQB8kctPeSTVMgUTgHcXmqJ2ystN6PLaisnrV2b1I+e9Ug7QwYPkUUGkNrviiqM7rhIwZDlFe62XL1WfgGD9bBLn6lLjh+HCVEQ0Uut9z5xgE56XxBNXbJkg/cP+Nznl9gXH6KZ8zZbuz7bNm8psx0JtZaiPZFB6reMXZGMUlklfdZkIGqpMT+sOTisdTqja6GckAyskG3kohdgGDKEUawigwzSAMgZtbISrd3iAU+R9eg8gFhra3tCoYCFrm3tTjmFjfbYw6ts6ZMiMZxAmtIgAiMDl082JIBar1XB9QTwzUmOlGcSjY+jC0QOIHChPEfrqYfUXxouh6y7jxv8vUf3meOBiUB4Nopej+gjjSKZO7LHcnM6NW81cha5tmpNgoBGkoxwieXlcupIoz5bs5xhh5XSI0iApkzOoqJ8SHuc8lf6ANFLBmF6zB1IqQhjiUgCWXKeIZmvtZFNs+t6ETyid7lat/QFAnStFohYbuvWbbDk5GTdw1zdj1K9Zo2cSZOut1Vrtl2gocP+9E//NLJ4Dx6f1cff//3/aUePfsX2H3jDMzfwBynJjVoTlPukewYSJefLZHMBwzSLJiOD/U8pIGIwJRfsP8ofQiYLItd809DODjK4yEC9ITINob6l/RAa/3p/BIFNBAKCLHV1gMdYpA7ruJI1XDrogN1LJUUyUpIr5I/ybfOmNIHgdP29Sq/TY+Nj4zYzc1Ck4JhxzP+FCxfsytUrduvWLbt776498+wz9uyzz9oLL7zg4/nnn7fnnnvO7t9/xu7cuWfXryNwXbQDB2YF7ih5a9P71crGVfueJCuFLLGdO0tkx4pk77K0d1IF5nZo/2y2RYs2aA9tsCef3ORCMfeQsqkNGxAAciwjvUK2uVn7tU/2eky2e0qgZtYJW0/PadkITj0mQxVwPiMbL//QMipQt0df++Q7OmWDWjUgBs26z2E0NMp/idQDlNirZDAXFRX7/k1NS7PtOyhBXC87vFokb5k98sgyAa11Dvy2bMnW5yrT52yU/esULtB7tY4LhE9rrmZsbPyITU2dtOnp0z727j1tQ0OzAsBHZMvoPUVpKhHYeNCTJmTnBHAa9X+JxEoXtBx7zGcwQQ5DNlWbcEGn7tGQfNxprUl8eTjR6aA3u6VXYTiQYHrqFS+hYz0hnNXVzcjXkvFF1kYsZun1IKX4Kdm71JQqrZci2X1hjHUptsIBJ1nyT3rp6JMiUCtXJlgoqajzIExeXr/7BMQq1ikRfvoi0jcu9Fd8Q/uHflVveaYUGVFcNyfWtrWe0pwcFIYY8+ui/NCDm+BBrSew4KZNeU5eyFJjT+HHKQHk3kFMQvln6E1FyXqIvIfyz/grGVcIVkG0WlDeO1dWE0gMxCXOrIPcQXYovYDAxdlTZE2x79hz9CJJEi5buXKbfe5zD9vP//wX5NcX6ef1WjPZmrcqYad2vUaf9vOgDQ9N6rPv0/qY0vvu1e/GdM+G9RyaYO+Rr6aPEZn8lPsORyMEzjyqrwFphaTHvf4Qk+cySEVuV61CjNzk88W1sK7T0tL1/AK9ToXWb53WXrP8a5vuXbdsTI9993vfiyzeg8en9fgkhK3m5gO+TuJqD3Befl63MJP2ufwSmflkQJKpRWsFgjKPi0t94Qva419Ya4sWJ9j6TYWWltkqXDTmdol9MTLEKXLhAJRwOBE9hTil9Snfh1XiSAWFw7IjNAgnINjiAhpCeVa2hjgSwXl6wKWL15D1jJ/YkVgszJsTKhiWCHc+usIWPbFU9merPkeJfGOnjY6Meh+qo0dn7eSJk3bu7Dm7eOGiXb542a5cvmxX5b+uXbtm165fsyv6evHSNTtz9oodPnxO14lNGpOPFK/KaxOua/FeulninZSZh0AM2WJVXh3E/lm7LtVWyMYt0n159LE14i8rxTfXyc8TqN8hIk4lSqLsZJb2Fb0ZSRroFIEfENEft67Og9bfOysuekJc6pSP/r5jwrYz1tk+KYw4JN/UJxu2S4O+xPirZo1G2Zd6+Yc62Zha2YNq2Zkq7dlyzWeRbGOO7mmqJSRSKgr/XaXrWqJrlK9atFZcOUnXVOIBXjAyfYNps1Il21Et/FFXNWn14rANmqsmEj/kD5rrD4lPHbYmH/JJPg67MIEQ5lVNBK+pamqlrzCVHyR8kOwRMq3q5M/ICIozA6nCChlVXe6v0tLaZLdHrVt2dHzsrvj3C3Zw/6vinpxA+KaPGY2DlJBPv6w19owHFOiRWyWOUVi4R1yR0tl2n7cscSMOEKAMnz5oGzcxZ2m6Hzt8nh4Sn3pMXHPNqhRL8ESKessTnicwgs1GYCHAj+ASt5Uhe5i1TmCpncBTxFtogN/NAQjigPgYr+byYDuHg4mf6L44x2yAY+oeCJPx+iWF/Z7pTcYxnH39pnTHiWT/PS5cQULKRuGKbTsKxevJkKqzVO0VDoSjf3ZOvtZrQb/ls4eLSKYgqYCqGZI/CJZSPTNl9R5A2+dfqUbzgEgNwnZo70TwI1QNiZciJruvoIWGuJOugQDez/38Q/aLn3vEli5bL1+bqn2QLzxHj7IG7ek2vUa31mCvMBPVCHusSr6pSn6JYFstQiFil96zXu8Nz+Ygk7gVjwesZEf8OnRPENbgxaledVZim3QPPHFpyXp79JHF9uiji2y9uBXJMYWF+Ksy4SBxq8YG3esW+ft2e/HFFyNr99MfP1Nh64//+K8E+E57aigqf0JynW0TIdgmQLV1m8D45mxX8QBQS5Zu8mjCw4+usi9qPPr4ehkdQHCpNu8ubzi/WwBpcu9L2hzv2LHZD+z0qe/4Mc4XLnzfnnrqV+3ixV+bG/x8/vz37Mzpb9vJY1/T5npThvO+AMxlbdLjAlhTVlQ8bMXaAKUIWCLEPsoGrag0pK6iYJJeGZxFgwCYSERCvqWl5ou4NNvY2JSu44RdOCfScPmKXb96zW5cu243RQpu3bhpt27e0rjt0fAbN27Y1StXXfg6NnvaJsb3W3trnxZBnWWmVVqygF1SAmJHsd+bDZuzbPW6ZI+yPLmYfmMY3hUeTV20aIsWCQ3biyxDILyybsR29Z4U8L5lB/a/YkcPv2Mn9JlPnfjAzpz6pp0780tz4+zpX9J9+6b//cihd2yfwPLw0G2BTzLXZBxrWqysslb3osKKy0p1f0qtpLREm6ZYi7XgY0StdbZ0yXIZmCdlaBbbQw+v0PXKMaxJtu3b82Sk67T4e62za1QO8qBNTh23mUOn7IjuwezxM3bs+Fk7duKsHT12xg4eQvg7KVB6VATngLU2T1pT/YQ11E1aQ602tYgex9z6IQQyMBCHUNNPY2PKIiCAIeJNQzyiNYBnSg0TPPui3PJze6xdBnxQwHZ0+I47b8oRQmkCR5S/5N/TKJCDBDq6nrLahqNWrE2bxetldTjIz5DhxZm7w0wnfVuAc2epcWzwBkpxELWWbtA6XikgsdgjQY8/sdqWCxiv3ZAto1Il5y9SXDZqtY0HrbXjhPX0X7Q9mov49E6+0gCS5u3dIsRtIsf1jYCLGRm/fUYqL+uV8hJELHqEFRXutiJKHPN7rUDkIUcGNCMdIweRKdac5chpCxCLfD7+mPaaru2xh1d7M9FtWymjqNXnotyXkiPthWIBbV0jmU44tSACMxDYcHSht11wHOE0tbixsGeidInQLxz83iMfpK8ec6dKxh4RfdJgcdCc0pir+5wqe0F/vcSduboWgDoNp+n3NqT1OiJSMmp9PSKe3eMiTiNaH/0y8rv0Gj1Wpv1bqsFR10TxPJJXLJJQ1Gt5Mv6UE2fLGZN9uZMSqi35tlHke+WK7bZ40XoRheX2kEje4sUrZKe2+JrPzc0TiCyV7ajROmvWNbdpPXbKzj0Qtj7rj7//+/9qZ878sjebPjjztvbdbSe2COKULq9cITv85DrZOQFyfSVquCOhROuiTjaxXcR3l/wFxF/gspoTi2jqes7JNAdfQPxpVB2aXX/FG1rT5Jqm1jS/5m+cnEfPB0oBONGpUXanojyc4MS+BiyQeUrmJf2skr2fVZ5AukDK9jQRhEr5tz75gb12aGbGjxU/ezZkaV29etXu3Llj9+/fdxHr5ZdftldeecWjYq+/9pq98cbrPvgZoQvR686du3blynU7flz+ai8iXY8IAyJEiQd36KW1WcCJvpjY+xXcI/kqRC0ytiht27ghSzaxUKNIzy10gJqa2ug2mlIzorf06Nu3TwB45i07euRd3Q/do9n37Yi+P3SIvkivuY0eHOTEH5rmA6o4xbBVo0GDTGIRg4pK2cUq/QxJqND9KBVoKvTod2pqmuYr0ZvYL1u+1p54UmRB9njxkg2ecbNxo8BxguxMfq1IR58LEkeOnhK+uKJ7hw9/2u7de8aevv+MPfPM8z7u3XvOf3/lyh0976au94LtnTwp+4Rv2ivQSWZO6Evl5YyynUHIkq0T4MamImiFIAwtGnqcqLCesrN36XPsk5277P7oIOSAkwCPvDfXID2M0Bj9iK+hL3m5HU3PISb0jMvN4+Qvghr1ugfyU8nVnq1As3PKD5k3+nY+uWiNwO8SjSd1X5ZrLjeIQIncrU0XsajVtQ1qTR/ztUmTYUQ13vfEiW/6qYOnT38njDNhnDj5Td9LnJDLdXNdiEtkLJaWjbsfZW9BWsj2w2+uX5fhmfmIXDRgLy0RuNb9Yx8iNCE4OSkhsEVGt/yJi12Uh4iMBIGK/iShKXso+dTw70NJTXh+VFYj/xTKOkKGpJf5NobMSMRkyBtkARGZco6t27K9ufSjjy6Wv1wvbJEv7NEiMjugOZrU5zzipb5nzpwVJiWoeUl777II+BW7oO9PnTqn/X9C9++Qrmmv3mtQvoSMly5hFdprUPJLwDOU+i7MsCP4Qv8uou+cLIUYybyBmb9AEPjzj8mnrwoZJp69XyDcVubBybr6Br1Xi/ZNh33nO78SWbwHj0/r8UkIW7U1E1qXlIPHwVWEnMbgF4T1aN0C1gttFcSvltBbK8GWLcuR7W7Uutur9X/Osxf3ye8cOfwlO+l84VviTOIJZ78TjW9rP/+SnyR6RHuZ07Dpr0p7ijL5pszsHtuZ3GgJiVXCaRUi7+WOg/ERiYnFwpwF2jc5HtRYsXy7fOgGe/zR1fp+g+xRpjBbg+0ZGNA1yN4eOWwnT56ULT1vl+Sz4FO3bt60u7dv2727d+2Z+09r3PegzP1nnpH9vW+3b9+z69du2/lzl7W3Tsn20eqk3/LzGnQvajy7MTmpyuh3lCCcB2faIN65dj3capu3doFbPSHMt0z7ae2GZNu4JdNLJQmokg2UnFItfN1vLU0HtdfP2+joTZuafFY2+WVxqNft2JG37PjRd3wc0fczM6/q89A/luSBM9bdeUC2U7asuk1cuE78qlJDOLK8WLZQo7RYvqpINjZfc5mtvS5ssXO7rkO+ae1aW7pMvkr+asnSjbZc+BSRkmQQ7DjY3sWc/G4rEW4G91ZQolgiLlc6bNXC7jWMcvEM2bO66nGrJ/NY66e+RjZIvolRh4+KhAsykcjWIThXIyxDvyuqIULgHH41f7gOZWzpGS2yOZ1WVjJmXcI8E/LnBw686mtqVn782OxX7Lh8BYd5nPAh/yV/Bf88IFw0SvBj10UX2sjYSkun/F6+KqlavkG+aiul8rmRqAWv2uQ47OGHltoi2b/VKxNtq/5OO4GMtEYPApB4QFID2WSlJaO6ZgL/BJD0eWrkg+sOWW39YfGWI9bQdMQaxVuaWmetmcBTm4a+Erx3Ua8eMSuU0NOCxgUtz5iPerXJr1JdtWlrjq1au9OeFKagjdIXvrjUHntCc7Yy2ZvdbxH22Z6odZhcb8lpLeKNbeKAnZaR3SUeT9lwp/YxGA/uFaqI4LHe365iUHiBw30InhIACa0FvMxW2DAOfpBVn6Z1T8Bx82ayNLfLX62wz3/+Ufn2J+TvN1laaq7WM20gOoQzObBg2Pr7J4SvpoV79stP75Of32e7uqfEwcfFvYesWtdQUaq1peupKKV3dgjIEND1IAzZ4YhzheJXOR2yRU1+XxI5SEj3hYzw5cu2aL5Wi1c9IZ/1iGzScuHBHVo/BGNy9VmLtT8qrLq2RvPSKIz1bGTtfvrjZyps/Zt/8x8E1p+3/t0XvbQoOb3JNpGStjHdS6FCFHyb130H4WalPfLYOluyDABKU7h2P/lsbPiWzQjcHtdmOHXqmwIO37Xz53/Vnrr4Q7t85dft6rUf29Xrv2HXbvyGXb/xL3xcY+j3Vy7/yK7qeRcvfM/Onf6mZ3ORmg5xKCkdsxwUzsJdlk8/kZJeyy/usRwBjZz84CwyMht0HQKDMtQh1TzPwczExKQcwSm7cP6CXb18xW7fvCUDfMfuiQw8ffee3b8nI/y0jHA0+PmeiAWCFwLX+bMCOTOHrW8XC6LedsoBbJHBhSSshWCvTrYlyzG8G+zRx1b7veEeUVe8ZXOxNlS7g6/evgs2MXnfZg6/brPH3/PjriFo58//Mxf3Ll/6gV2+/EO95z/3ceXyP7dLl36ov/2anTv7PQelx2R8Dux7SU7hkrW2T1hZVavlFVdYdn6R7k+BNhoGN1fGK1NOM1nOaocMzSZbs1rX46LWInv44UX6utIN76bN6XIGhTLkrTY8sk9O8YIA3i3NixzR3edFDp6z+yJOzzz3rD33wvM+nn3+OXtazuqO7tP1m3fkTC/b5OQxAVRKPmSYtakhAABdz8aRIZ4bWlsuaFWw0Yly9grQYyha5HRldGTwEndU6nPs0rwf13q6Y9MC59NTRJnj5rM0mQWEc2LSe/6V3+3T3zlZpL3zjFVUiyjk9mjDYngb5MRlQAQiEqMMOxwhDpysBQjTI48t9wy2L2iERs6aO4FjTiUkI7Cn57xI3dOeJcIJT5C5Eye/pjn8wE6e+kDfywloHD8OcXnX9h983cZE8Hp6rwnon5QRmBYoFvDW5+KzETnJye60XBnJXMiRHM58xEPEEkCs61u2bJuM3Cr74ueXeMPOhx9aLsC+2SNYEM8UEc/snF4ZGvrM7NN7cYTuyZCNpfXG4BQWyAWRntpajvndp88koiZnSVkNKcD8DecAIaEsywc/83s5MS+bJEtSc0oqvRtGoo5yFhxFvX1boe+3yqp6GdthrYdpJw+zs8dF6E5E45TNHj0tIn/CJvdSrjNmjXW9MsDdVpzfKYDTKYIg8Kev2Xna0wgDIk3paU2WklSndVFm27bk2yaRqjUrE2zp4k0CXqtEFBbb5z+nNf3oUhH0DbqWnbIDoZ9eQSGnq+2ypvoxa2/eb3/6J38RWbwHj8/q4x/+4b96gARSfuzYV11oIYJNryWIAtlIgHL6kzxMlo+A8Jo1qX6y1M6dNS4Gk05PVJADSmIxCyECkn9Gr3tePgi7e1H299Il7HAY/IytPnvuu26PjwoIkv1CIIZMr6rKSQc7HCeNkAbBTUCk1n6m0e6mzUmyS8Ui/R2yJ2OyZwf1GUKmFqIWUe7bIgeIWkTBELTeeP1172Hw1ltv2dtvv+2NOhl8j9CF8EUG1135sitXrtnp0+dtcoo+Hj2Wng5oypCtC70kKOVYsmSLbAh+fIOXByBoJVBynVgjgIoPbbNc2RTKFxATaN5KtjWi3omT3/D7szBI9ZQHp37Nfz53/nt6/2/7vBw8+KY+4z3NzUXZEgHuSkq8aOhfrn1ZLGAlglBU5MSeIExGRobmj/JDSjq2COht9KjhUpGENWt22jaBrsTEQj2fHnq7NG/7NAdn/TPfky9C4OOecT9efTUIga+9xnjNv/LzK6+8ai+99IqLXbdv35fvvSHcQ5kp0W2y3ejZNaSvNN8PA3JAVBl/RcSd7N9sD0KE+1Qnm8oJSJTHHj70rs3qsx8/Lr9w8lsuIJ05+ysind/1r6fl70/p/rDOWDv4M9YfPb5qhZ8gHfgq+j4iaFFau2FDutZ0ki1fvsUFW8pcELRWrVpvmzZu0/PSRYBD2TdlDvQOI/Bz+Mi7uo6v+zWcO/c9u8B6Fr7ytSys5UPfO77Q37m+UyLKx45/zYU3XgORidL+lGSyqLWWREo2bOCwgZ2+liBtNLTPgbDJJ3Cv3O/L14eeZ1G/M/kYDg7xk6a8BQUHhMw34vVyX+E89hCjzaPvnJwW+pLEmVlzjfaJxOs94j5FXuqrOSFLEYK+cVOKrVu3zVJSsnU9DSIDgy5o0YICEfncuXP67Je0dq7YjZs3XEi+K0J+9949//7WbWGg6zeEx676fiIbcvdukUn5q4KCZr1Xk9YsWfxNWrfN2mciB2l1er9q2yn8uXVrnt8nsoqXQRIWCTM/vMIeekj2SNiQrLtNmxL03DT9b67WFAHJGt2/Zn2mTn22XfbNb343sngPHp/W45MQthDE0zM6LI11ktnoZJZAR2JiqTBcgewzGbRJLtYsXrJVpFL7eVu91VQetD27b3qwgOoW+MLZ079sT53/vl16Svzg0o/EEX5s165oXBWnuvYv7IrG5as/1rr9kezy9+Wn2M/vyh884+JwYdGg9ke17Ib2iOw+GWIbxfE2bUi19euStK+32+In19qjj6zwRvFrVm4Rfym0ttZOGxkesYMHDtiJ48dkz4K/Ighz8+bNSMy6b89hg59/wV55STb4Zdlg+S982Ev6eWEQ5trV6+I0T8mvzFp7m3BxjmweSRRbC41eWpTw0U9shez+0pVbbdHidV4Fw4n2AfvmefbxDpHxxJ3V2kMtVlK0x1pbjnoFzIEDr8hfveuYHJuG8Hfu/K+IA8qvy09duPCr8vH4q+8GQZAEgtkv28y+5/X/F4SXJ628qsPyi6ott6BQuDTXhSxGTo58VWaa9nqSrmG7bSBTC361jMocgi+JspPZjuHX6zPQF4zvycpLpywxu9nyc9utILfDiuRLSgt6rLyozyqL+62mbMDqKvdYU+2QtYlLdbRMWGfrpHW2TFp704Q1N4xaXc2gVZbtiUQL+auySLAgK1D3oEjDA+fyVYFfdbngDldIS2+VTxu3Ptl1Do86NPOW+Mp77ifwSafOII7+cuSzfsXO8T0JJ/obohdZXNN7X7CRwZueQUbrosRE2rkQfEEUFSdei6hFAsxm+aqVHlxY/KTW0urNtn5tgm1k/jbn284EDu9osAxdW3Zul+UX9uua9VnKxuV/hReqD2rMiFMc9FFRuV9jn76nVcl+q647oMFXBs8Xp6FUUD6B3o/4bHwSbZXgEfTBRtSiumq18NBi+VP6g39O3OFzn18mrLjZnlySYmvW54sjVmu/totT93v5ZUnpuGsQRaXDWgscANRjmRn0d+3UIHmCLGt9jpw2/V1cprBbGIcA6i6j3Ji+dQQ+ENc4BMb9hNYuCSUbN1L2t1X3aZm4zCO2YvlqvWaWNdQ3iyPtsYnxKe27w1rPxzRPJ4R5TguDnZMPe8oz9c+euWgnxdsPzZy28dEj1t0xZvU1fVZW1GlF+VT16HoItOaHkmMX2OFYzq0aXEwOiRS5rvWs0LUsWoQNWGZf/MIT+rrEli5ZbRvWb/ZgTGpqumXl5OozymeVVIvLN9qdu/+dClt//mf/0csEJ7XY+3dfstr6SUtKrbHVWoQIIJxCQboeaaCPPLpawGqjrV6TaTuTG7ShUH/P+0YhA+nksQ/cACPYXLz4IxnZH8sAImL9pkDEb9mNW79tN2//tsDD79itO4zf1fcaN3/Hbl77LRnqX3eRBwN+5tS37cjhd21k5Jan9uUV9lomqd7ZIg5ZzZZMGp8WbFKKHMXOEtsuUOPlExklAkJdAjNTvhieuvCUi1SIWohZzzwtIHz/GXv+2efsheeftxdldF/y8aIM8/P23DPPusB1RwDn2tXL2uCn7fDMERvop5dCg0B2up+uuESg5YnFm+3RJxC1tBgQ+5Zud9WaI0WrtEl3dZ214aE7fpoPR1cfP/mBnT6r+yPDGhwUzuk37Lqc0o3rv2U3GTd0n/SV312V07p8+dd1P3U/RCpOCXgePfSm5uqO7dp11Kpqd1lmXoXuA2JemgzNTm2YbVqoMiTrKVNYpflbZo8/tkTOarEA8hoZ2p3aiKUCjf02sXfGTkIQ5Gxu33nanr7/gj33PATgDXvl1dftVYiByNVrb7xhr2vw/SsQqldfthdffsmefe4F/d99AcUb3u+lv59IN8Z2txvXIjKUMLolIQVzrjGk5pFMquQUDE6VbdlWZjtkJAsLdwvsnraxkTu2b+oVO3TgS1qb72tjE/Em8v0NO37sW5rXXxJI/SVt6m/r+2/JQH/NDhz8kk1MvmB7Bq8LOB/Taw0IeDfa1u1ltmkLvS7kMNdn2BqIgtb1IhFgjNsXH37SHhNZWL1mhza5Nm1+qzU17rf+3qdkWJ6xmQOvC1y8r/v0LZ+DQOz+2Ty5mxs4TZEEOYQTx7/potvk1Kvea6S55YT2yqgAcbeTx7TUFjm6Jm+OmSTCnbCDE690jRuyPVOLI405bfSLX8TgLXFRa9mSbbZuLVGqUu+nQNoxJyDSl2R6mkyTd0XQ39c9+orujcZJvqf09x0Zvjc94jcmokp0vLHpuOaJ0wxxGGQlTMk54CAYREviKJD+5mWTlF6EfkH0LSLikpRUqftVJENdpNdqsZHRca3xo3KEZFCc170I5b4XLxIR13jqsn6+pLX8lJPSmYPHbWhgn7U08roy+hn0AqJvXZ32dL1IHj0WZHi1NnCc69am2moXtTbaYwh+X1hqX9BAUCYLZYOcREpKsZWV0kNhWvN31sZHbtuBqRfs0P5X7S//4j9GFu/B47P6QNiCjONfEJfwD5OTz3tWCJGzhIRSWyobTNna4yKRixattyVLtgtwZulvNbJLI545AnE/JH9FhBvwC8i9ePEHIru/bteu46/kp279y7lx6zZff1c+7HcCidDzeD7XAfBDDOCEPTIi07W/d+ygF1GBC9Sr1yYKkO8Q+c01yvI48ZbjxI8ePSrifFqfR/4pIglP45tEABBiELS+FIlZ72i8+8479uV337V3NWJx603ZZMhDELfuyg5f1n05Z1NTZMl2yK5keJ8UgCbtAh57nMj3RpGF7SISnN6H2NdqWdkCl3kC1rUH3T549tHBt2Q/vubiSAjA/MDFkCuQqWuBTF27/pth8L1+d/kyYsmvOjBG4Dl06G2bmHha9/yUiLtAYW69gGaR3jPLAzBpaWkCV0nutxC16D2GqLVixSZbtTLRiVfSznwBMfoRdeq6Dmq+ztv167fs3r0Pi1mvv/6a7tkb9tZbb/q9eecd3bdofOlLb7s4yN/IeEPsevHFl3XPnpOduik7TWnbqHxUj/xWj9YSAyGD/i8EJDhRsk2gk/42LS5q0VtjZPhpAc+3gvB34hu+JiEHZxGTRKC4ZwhKfOVnfAZCF2sOQnHIcdcLnmFFAIHX3rS5SAQhlNXSSBZxj6w1RK0VK9cJ4yTKf2QLJCMKVgvEB5+JSOYZWse+Gq1pMNgPHT8wP6zpsK5/d24tgy9ctNVa5vq4NkS5oyI8+At6nGD3ExOrNRfZLtYETLjJAy8QZLLLKBXnXkEmeD49RBC68B2h5JdMwlkXsxCUe/00sBve/HeQU0g1OPq+X7/r7r7oohbZlH6ISA1tC6a8lILgipeDVoTT5Jy4ZdIzBlGLfpkpwjcpAvPF1traYbsHhmxq+oCwQxCQ472GgHzvnrDgMyLk2jsvvij899JLvp5e0PfPPf+c/ka57x09/7ruZ9hTHR1kZDbId1daanKFpSTRyJuyw1LbsZ33R6hIMZrvUupLqQuY+dFH1/n94uAIRC8Ey02bMmST8uT3aq1IZKi6akTkfEa27KR977u/HVm8B49P6/FJCFvdu85ojQqHJjcJ51bbtu0InwhaEMk0Lz9atmy71kqibdlUIkI6ZH27Ltq+yRdDRceJr9uZs99xu3FJe/kqYpZ40vXrv2M3bogz3RR38v38Ex839PN1/f6q9vvlKz+yi5f+mbDYt7T+EavvC/Mfkc1tkZ3Nlm0BZ27zAALN4cnQ4JTeRx+hXHaT/EGJ9lCn9uaIn9R5/NhRO3/2rF0Wlrt+XXxBe+hp7SH2z0vaNwhZr78qGyyf9FYUjGHgxwgw4KdeeOF5+bh77usuXLgkv3lcPIZehbXiVdnCeGSuIfSRVcz+WSfbt0G8RfeHrCwRcXoCk30EBi4rHzf67A3DF6iCOfJlD8DAsbB/Fy7+ml2ST7p89dftCokV8lHcmyvX5av0M3+jcugCItfpD+zY0Tds3767wuynraFxWHylQfaF5I1Mkfpk2ZmdtnPnDtlg+NUGXav2tWfNJtjGzZSDl3mAjWxWDqggG2+9OMeG9ZkeAE5JqdJ+rxOGbrKSwnarq+q37va9NrLniB2YPq3rv2BnTl4V/70pfnhb445dPH9b13ZD3PqKfM1Z+Zyj1tFOCVy/lRR3yx6F/s/gcvpikxGEyELGeIq3FGrS77utRna0v/+SuPpz4rNv67N+VTxF+Ec+64zs/jlxzPPy3RfkCzxYpZ896CF/hk9A3Dp8+O2QXLHnujD2Yedy27aVuKC1YgVrmSSPdcIYBGCWOP/cumWbcEiybd+aZhuE4Tevz7OkBES+HtnxvR60oMxw9+4rxuFWZIZTYgtXwSf09V4zeos1N5/UZzhk5RX7rLhswopKx624VD5bvqbEg097QkWMl9jRTzkkTVBWSFLD5ihTa9HSTfbwo2TQrrZHHt5oy5fKDu+o1z0U/pG/6eo5Z4PDN8WNn5HveEHr4UWt/5c8+Wdi/Gnth5t+eFpjwzGrKJ/WPtkjzNepeW8SnxWHSeOQswa9N8Kd1mpmnaWm1+hvZCSWyAbkaf+Lh66Rj1giDvoIp1Gv1N+SjdZCfX3i5RN7hb9mhL+O6/6TWXxee/kpYa+L2t9XteevC5Pe0Neb2kvoFDfEr65qnp4Sb561vp4Jq6smG46SY65HI7NRXwnGEMCsFX8rd59JRR4Zo2CNJ4WXH310lT3yyEp9v877wW5Yt1P7MkFrOFE+LkMYhaSBZvHGfvnovfb88+9F1u6nP36mwtZf/Pn/bMdnvyai+ZbtnXhGYOCCVdWOeDO1JVqoEEdK1x5+ZLUAzVYRyBzdoFarFAnu6b0qh/+qp7+eFLADGF24QLT7nwsQCExd/20HUBCD23d+ovF7dueuxr3ft7vRuHNX447Grd9zgeu6gPJVgefLMuQYnJPH39NCv+eRu5z8Ptspw7adJnUyHtsSimzz9lzbsj3bdiTkuGDT2Nxl4xPTvijOnz8vRyAgcwsgfM+efeZZN8REEF5+KSrzeOXVMEQmMM4YaZ5zXwb49u2bWkyX7czpM1poh2xggBMXK2z9hu322BMr7SER7IcfWWuPLwKQp8iYlctI91izCM6evms2Of68DMEbclLv6/5809VwoqeXBDav6P5cu6b7A9h0B6V7xH26rfukr+6wIFK6H4BTCMN5GewzJz/Q68lRaa76+s5aTd2wZWTTl4njS7fIyKwVKKbx23ItzqX2xOPLbPGTq23tmi1a0FkyDg0yIOMCwKf1utc92v+MyNTzL7xoL71MlPtNOaMv2VtvizyRISBCxXgn+uqkSkThTTmt116HWL0mMPiS5vG+nb9wzab30WuDemLKybosV8aPUgvUYup52WDJnv6oOUTQcVGr1gqL9wRRi+yofa/I+L4jQ0850De0YSnNpIziVzQXckJnvmfnzuK0/5m+B4x/24WvGco29b9jo3e81xdN5nckVNqa9dm2XA5zyXKB8iWbRPLWevnhIzLATy5bZZu2Jmvt0CB5zLohCaP3NG+Ui75rp46TqfBtz+S4ePFXdc8EMOQor16NomVz48ea018XUdC6FRCB4BzXnuCaJiZeEMi5aJWV0zJ4XSJrDZ6dtmNbqQtaG7WnQu8bUng3yzGs0Z5brrFS5HyjDEyanEG11taACNBhrcPrIseveuT/BNkBZ35Fa50Mih8GR34FZ85XEZtL2o+Ibue+6+nrlFhN7H1V+/yeZ0QSBSkhE6uE0lAErDGPnJTJaVCfTwQI0QAnRvSD3i+ejaK9l55eKgDQqf0WRGROcINcX716TWv7utZ2MLy3bt2eG4AagNGli1fs1Mnzmmt6qNFQsV2vV2UJibonAoBbKIsSmNkg8kSjayIbi+U0H310pX3xId0bGeAnl221tSJcCNw0RG1pPWRDg1dtevIFd97HdX9On/jAzp36lv3N3/xvkcV78PisPv7hH/5/WluBjCMeQOARYGg23SSgRTk6TbZpCLpUvotMpTVrMkUmKkS0J4wePwcOvOGC2AmtC7KvEB2IcuN3sMX4qlvYYPmku3f/0J6+/680/li+6g9l4/7AfRjCAM9H5IFw8Dqzx77mpVyIbBmZHbZ+Y55ALw1KN+makqymtl6Evk8EY68dOnRI+4VG8ee0Ry97Cbz7J9lhCPYbIgdxdtaXv/xl+8pXvmJf1eAr4/333w9/f/ttfy5+jP+lwTwi8okTJ42DUqqr62Rb5KseW2kcjLHoyc1uYzZvyddea5RN7nCBgNT/lpaT8gu39RmiIIxAL0I+IDcIWkH0u3b9t4JPd8HvJ3PD74nuHwIXz0coOaV9R1SYzDoOq6ir3yvgXS8QmGE7E3eKACTo3mzSHt/oWUjLl4ssrNxsnF5HZD4jo1I2s0V+blh+4JTs22V9xqft/n0CUi/NCVoIVohX3JN3333Hvvzeu/be+1+297/ynu7X+/71/fff83vJc2KBiyyuZ599UTbpvh07TnkcvZo6PLhBr06a/iOc0J8mJaVe/rNZoHnAOF2IvlUISZ7th6h1+tsu6PG5g6D0I18frFd8BT9zX55yEYlAlfwD4pbsFEIiNp2Sfd5rnYjCMq0bMigee5zeLSt1fzbI7maIEJQITFdr3trky8cE/C/56YMIbC5qnfq2+0WuwQUtrVPHF9G6Dmv79+bX8TXhLV1jLNYSuIHsUJ4CmO/rO++EgTKh9evSBMY3i7Ss0VgrQr7VNsk+k7nFIQXcK04czs+nn9241dUcNI4Yp4/WOKWR2qv4n1nhTQgo+5csv9P6yj1k4NO4r4jPCH70dqFsuLxsTNcxJF/EITOhpINMqWQCLNvztWYSbY0AOKWHHKwzgKilPTB7lN6qCMgXo712PRK1nvG95hhQ2I999PrrlPqGry+/DBF/QUT8vtb6Lc3bRV33KevfPaHraLK0lFIRokL571ztsUwR2DTZmiStX8TIDUGM1H1auXK7bdyQofWcLyLBYUaV8p30wKNH3KA+36zPPb3ZKHVGJP0X/+IvI4v34PFpPT4JYYtSN7IUCwoHhWtqZedYp5BaSosRiLfZiuWplpzYYI21B21kzy07uO814Zb3PZPo3Llf1roT5rzyIxdkblxHzGIPs38j7sS49wc+bss/3dLvCcZchzvof6gAufjUP5O9+aY43uveNzU3p0f2JNMeeXSNfe7zj/lph7/4uc+LyzyiPbTWsrNzZOPatG+HhM/22/Fjs+IeZ+zK5Uu6hhseRFlYLs9+QcB6W5wgDsIwnDPoZwIN7qdkr194gR6RT9tNYUOCnDSf7+ocsOzMUlvv/X0QtNbLZ62Xv9qke0WWVpGlpdb7qeC0KaGVAFnXNBWfkO0kQBCCMMH2Ic5clL29jO2V/bt+UzzrFuN37Mbt+cHvEbtcBLxIdcy3ZYPek01+xUZHrll760ErKerQXqekX35z8ybtdVocsK/X2arVW+Xn08VfSr3xfhY9wzTo5Rt6Epbqf3L0GVJc0N65k95c9Fnus4Hd+2zmwGk7e/q65ohEiufFOcU9n31J9+hl2aZXxUVfkZ971V54/jVx11fs3t0XZa/vy55d1byctP6+SWtsGJAdobytwTPFvZQdESW50ithsrK7jb6JCEckrxw6+IaXGJ6Cj8pXwNlJnMAv4Z+4Fwy+DwEPgjG/Io71Dd3jr4gTvW37Jp+3PbsvW3PTQRfRWNNBiIRXiVMtWWpr16+xhJ0JwhkZlp4mX56me5RcbblZXVZfc0Dr8KLuMT0pX9L9lu86+mX5Q/kv/ILWPiW3J+TPaHsAZiMARJl8V9dTVt941PscFxQPW25Bvzgmh97RXxtxr90zqJgPemqFTC3NwfpkW+pl4Zts0RM7bPVKXVNqp9VVHbS+XVds7zjBvDflf96zk6e+LkwnzndO/hyfLt594dx37Lz20NlT4qO6riO0FNj7kvX3XrOG+qMucKUkt3j7mm07SsXHi23HTo3EIk+62bo114MZa9cm2jL5h0VPCI89scJWaR1lZGQZPUgJeu7bJ581O6u1fFr3/oLrD9evX5MP0r67d1t+CzH5ae099t8z+p62C/fdp926Bf67asdmz9j42AH5wT3i1U2Wmk4AptyTEeBuVLbRHmOjrodED2/yv2iD9txaXdNGWxFlZCPA09+TNUyGKT3BamvGxddO2fDwDWHM5+y9L/84snY//fEzFbb+8i/+F5G/b9mxIwIU3kz0aevrP+MnWKwSMQinUKwQyNpu27aE8jp6HAwM3rApPf+Q/u+4/h+iAQi+SJqsZ2nJeNwETP2eE4S79/7I7j3NgCjMD37238sw372Lwf6XMt6/rcmMIsDnRWBOfF0b+WVraTtmqXr/9VuKbA0ZODIqazem2NYdmZaTW2YdXSIOU/u1OI9rM57R/1/SZN/Ue4dGvBjiOMpLFCEGMvHgZ4AOz4EohMVyS68jEn7qtDbYjPX27paxyNVCWOr1uY88tsFWc5xpUq2ng9IkfURAbt/eV2xm/9u6r1+10ydJif2uXXjq+y48XCHiLRJAhOWmA82fyEEh+sXOKgiAgNEbuhcQChdNdH/PY2REOmYOAoift90DF62mblQgr9zWrhGoWrLMnnxykYDVYnv8sWW2dPE6Lc5UB8Tt7d2uBLNhSLcnQ4B7Qrow4O7119+Iot3vOglgvPfeex873n0XkvCOHNpbc0DwuedekGO9J5JAc3caumNgUIybtblEaFKrXT2nhp4sqs1bSnTfGlxQoSEgjQr373/dhVKiVQH8yvie+a6XZBJFuHhBRAsBByN86Ydy2gLj+lsQtz6QkZQhnH7Vs752dZ129R6S+fjiLfboonUyvKvsoUeWad6W2lIZlcTUbL1/hzVrTQ8KYO4ToD5y8Et2XAD8jObt/Fmys0JpEnOA0OiC7Y3f/ciQo7zxW+4oLwlMEC06I5Jw/OS37LD2CI16IY6UnaSlioBvLJHxQNCK+9eRVbHeI7zsOfq0cWzw1k2F7gzatK4o7zk484YcwFdk+NhzCKW/ak/pXlxCWIN43sSR/9bcuEG2JL8nWqXrR5ijrx2OaubQGwLVV40DGXLz5SDyGLstX+ShgGaJ+T3aV11a7+0+h55hl1gmYJ4vAlFmTc3dNjW9X47gpPb+eb3+Fb0f0bxbDn5YXxhd9tL8CIb47t07vgY5uOHYsdM2MjxpNdXtIr1FRv8zhL7VIgr0r/PU5kWIfaEmngarK0Sytsl5F5QNWPuukzYyftsJNKT85HEcEI7ou3ZRa+aK5uJv//Y/RxbvweOz+kDYAqwjGLDuySaCKNOYm9IpMgs5nWf9epo2pwmE4ow7BDwOa+/dsQP733DC7qUd2juQf0j99ViswRZHRAG/dP+ZP5kbiFv3n/njOZErFgauXSPw8CMHgCcFyHgP+gPRg2Ll6lRbvyHFaFrd3Nxuewb32PR0OAHx1KlTbocXliCG7KMoW8tFmkjU+upXPzQWiltExfkffBb7jdc7e/acwP6siMmwFRYWG0eQU6JJ9BhynZraoH3dLUA85FkxRETJ/GT/hEy2bxjlnog0V8j4kc2bE7QiYYR7EPz5H4X7ofsW7olIlewgc0Qwxss2j7xn+6df89NWG+qnBOSqbMuWRN2bTdrja2Xn1ojgiTCsSRCIynKBu7Cw1Roaum10dErzJV9O1vWdO7IdNNNHkOA+veHi3jvvviOf9G4QsL7yvt+jr32N8TX/uvDeIXC9+2VI15fcd7322uv+enfv3hcpumxDw/tFnDiZq0b3qUr2qFqj1lJSm72MlTI673kje0754XH5KXwU0W3wz2Xwjz4765T74MN9BvcwZGEH4e/7LujMav0SVKTsk0M7OJIfIrd4yUZ7XL5q0ZOrtI63etZAYWG5rq3ZKit6tZ4OiBxddVHr8KFozsiu0+tCSMK6JlMeUWte0FqIvcAaAWMgSsp36bpd3AJzIUrKD09OvmCdnac825qyBS+Rf1g+9KGV+koZToKt037bsaPCxRqCLxyqQJkha8oz/yKR1DEiWRT4bhf+CBAhqsl36fsg/oXAEM+HrE7Ll9NknpPDOOmRIBkCmvcGSSgxTrRavyFV/mK73j9Ta6ZRPm1A92XCjkT7DAJN6aGXTgnTxYQ83mtvv/2W9tJ8qW/I8JvPNCHQSVDm0qUr+iwcRjBhJSWUaGaL1CVp3Sa6gEWT+CD6rfOAFPiZfls0CE5Lq7OMdJr77zb64ZA5SnYCLQ4Qs0JGONUO37ff+Z2/jSzeg8en9fgkhK0TJ94RwXzagx30Jdq4odCWL0e8oUR1sz25KElkv9W628/YlPbK4QNvGn2OsAtgNMSWK1d/5HYDPnXrlnjBHbhU4ExP34/GM/r5GdlijbvyW3fEt27f1t4W/7oprEpVyGXtufPCo8dE3MHG2Vmd9sUvrrL/4X/4Oft//D9/Tpj4IVuzbpWwXoZIdqNINr5qWvbpiPD3Kbt88Sm9XhC1wHH4G/YGvAnOwL5ByCKreCFPgEPwe54TeMLLvv/IhmRPkpFCuVV72y7bmZjlpVBg3yee2KS9lSqsWeo+PU84tLhwj1VVTPoJgIPDt4U9X5G/CkEYbN9T52nrAv8Uv5rzVyGpIiRUaDwdj8C1QkBG/kr/g+07e5aKi6/Z4Zm3bFL7s6fjuJUVddmObZm2ZvUGW76CpIFVsjc7zBt7p9XLJnVaoXgG/Z4ZXoKW1y471WAcZsHJ6xtkowoKyciZ0H4/L1t3x+7cfs6euf+SvfgCdoZM4sBHsUlxhrEP+ak333zb3nj9bXvt1TfF116TH0TkumPHj12wwT37raysw8tcabq/Vf6D4HCqMDsnjXMIx+TEi7rPb9qRQ+JWfr/ks7xdEJUnP5Cf/5Hbf+wxIio85oo4BXz1PFhLtgk+hrg1c/A12zv+tO3ZfdGaGqc1bxXiLpzWi6i1wjZv2yyenmw5+dm6DyVa+w1WUdZvrU0zNiS+cWD/S8IE8lnHWevfEn8Tj/Gs8Khk/qL4zFP6ys/yBef13qeF2SjLRZyd2Kt56ae67JDlyd+kpbdZCm1LNBd+6B2iYtQn3Bui0ztqxTbxiC3CGumWLv7V3HjUxkeftsPyTydmv2anXeQjQYCgUMjev37lX9iNK/KhV7WWdF9u6H4wrgsTXeUa8VO6rsMzb9rQnltWW33AUlNabYM429r1WbZuQ4ZGmmfuU3K8YjlBIbIjH7PHHn3S1q3daLk5eS4ij0SHMsQBT8rlwXL4LLjSM888bc89T+DzBa2VENR77TWCMvixl7WvXtS+es4x4I3riMYXbebwMevtH7X8ojrdj0Jvw8PhEARiyL6mwT/VQYhajz66Xhhxq/Yc1Q2lWrfVRt9O2vmQCUhroZ5d52168nn51S9pDQn3CNt961t/Elm7n/74mQpbf/WX/6ud1SI/cewDm9mvzbz3ORm1KzIeM95LgJTV5cuTbMumYstMa7PGuoPaSNdt7/RLdtD7SlCfqw2C4ABYIRNJxhSDgaiFkb3nhhgwBTkIROGZZxl/Gv0MYcBI89zft7t3yFj6LU2sNpcWEOLWSRmb6annrbn1iCVq4a5BbdyYbJt3pFlOQZm1tnfbxOS0HT561E6ehjScF8m+pkWByhmiC3GEDsASAM2H+5ZgTDAssbhFVA9DTvYJ5VVHjsza+Phea2ppte0JSQJ1m7VoMy0xscbytcGatFn2CGxOTzxnM/vesCMzGBEyftgw39di1Ya5qg0jQxpKXLg/fyBHBZFiQBYY4ee7MsQOPLkXcm6BQEWE7ging71u42zy3nPGqVUJMmhLFq/1BnRPPL7CVq3YYonbs6xEBpVm3ocOHfXPQcZM7KAWinx8fpzQe18mwv3+HKmKMwU+OoLA9e4Cp/WKPS+ScOvO0zISl23P0D4rLG7WpiqzbaTmctT8FgFR+odsKrBkAeGysnF3/CMjdzW/r3qGkze8dVELQTAYG0gSoPcqBhiBSQbGs6Su/Mj/Fkeaj81+XcbqHdu3l5TZG9bWetSyctpsxZpke1j35IsP0yB+pQxPgoxgsZWW9/vpjUMDN23/5Ct2RP974ujXZbAQRmTkLgDCMfIiJ4CLmyIIAg23b/9hABnR4Ht+D0m4eu23vN8BURDSfBF+Dx9+38nQEDXqlCylNMuwZcrYEkVA0KIxMP04AMVbnZynJtdbZdmYDfZd1rWRnv6uPmOI5FEO6dE8AZ+rsaBFVIoS37u/a7fvyaHf/Ze6rt+VA/0du62/3dJzblxH4ApRvPPniFC9b1PaV4CFouJRy8ii+T7kgVO/WuU0QobdTi89LPX+Bjk5VXp+n4DFQc1T2GtXriAiA3xuax+TBciee84N8Usyuhjel16i1ON5/f5Z35NB3LouR3JRDvOEgP6k1dW36b1yZHQpodroYh+lvoAdDq1YtjxB66jY0jLbvMa+Vw6OPXBAzpbsieOyR2T0PXX+B2HuLsoJCdj9u7/9u8jiPXh8Vh8IW9ddHICA/9CJILYCwDaofUV5bnZ2h8BdpfZPoQvIZNcQGeSkOgQWGmkTZAC80PsR0SbO1EKgYSz0Ux8/8FfzwoADY4GdUCL5LaPBOqeK0m8hK7vWamo7rKOjWzZuWDZgWuv0iGz4KV/3128EW4yviX0TdhifBClYKMosHNjnjxIGXoMsSbJTyNqi5HFXd49HTDdtoh9TkZdzUFZHEIaT+ejxNDb2jO3T/aGBOM3EEbXOy77gbxDuIAjBn0MQfl++6Y/s/ofu0R/77/Bjc2KJk4UF4pZAKdFZhPT6uglLSS611au1x5esFrhaK9KQIPtSKLtTY8XFHdbcvNsmJg7qf8/qOkL52NP3nw6ESp+VTC0+OwLVe++F7KyvfvUrLmZ9/etfsw++8XX7xjc+sA8++Lp+DuODDz5woQvf5QLXAt8FNiA75/Llazau9y0uaZJfL3aRKSmpXsRlwNraTmqd3TYOL/F7FZX94aPizDbP3nVBiXuGj0c4CkGPWOAK6xcS9V3N0zdcmCJjB/GVnog0JF+3PsPLA7Zu22npGRzMgajValVVg1rnU14mOEH54X5K5Ql0fDsC5b+mda3r0D6Jr8GzD12I/LBYy88+XyJ+ZOCxDxCZXNw69z2/NrIhxkRimpoPWVZms9GPYwnl4LLJ9GpbvCRBpIHTPqs1byPy5TRu5pRnROSvaf7mM8g864/ME90Lri0eYW3Nl/uS+bcwgwwsgEA2IB9dJYCdldnqJ2xRCkmW1Jo12wXGU6y6ulY4p0cYbUwkYb+TBLL2Oa2NrEj2GSJVjHnYZ8w/e421wDpiz/E9mSdkoNDnLuytZ/UaQdxibw3uGdYeqhBhpQSH00VX28MP0VdmjWeyUbpJhDwjg55c7cKHfbr2aevsOOuCH/35XNBCZI/WTxD7fsN+8pP/V2TxHjw+rccnIWydP/t1+R2yf27L/h/3LMNVK1NFbjfb0iUplpbcYh3NJ2yv9sshrYdj8k9z6yHCdvQhJrh9+9ZP7K4w59N35Xvuaf8utL/iUvF4OtrXJBLcuSN7fOv37CZB1/8/e28BpWl2nedakiWTWBppeKaZmYuZmZmZq6uhmpm7p7uHQdKMGGPZsqXItsyWbSmWZCemOHFMcTiO7dzAzbq5+77PPt+p+rumx+O71kSKsvpf66yq+uuH7zvnbHjfDUe47KKwFCTC0fnP2WD/VdnHKu//9u73fsAeWfaY7dy9zcorimQT6GM4LDu2X9dzxM6ePiWddVGfJx0s4EwmI7YKvYn8IC8xCI5dWjr4PzIG5kLugq590n0/gjtU14wMj1l5WY3kZovRMH4lmVAbczwrk7609I9CfujDR9n/mGyJY4X5oGPOSMdwf1cuEcRFv8gHvgNfSf+BL50A5Cf6EHv/bX8degedGfTylzVHwhHTH7XRgZvW3jRvuZlNXkr3CM3rH98sfZMtPVTtlQy5ud3e74+eV/zMoxVLbrt0dqOlp1fp2qtlz9ol84dlVy8Lz92WLXtWfvCL0i1UyUBmBZvv5KDmMs6n66TPhPmN84jeYh4JyFCSz8EoM7PHZRc6bavs6oZN+U70FBaPepCNPqCTk6/YAeFR8BEVMJ6pdTqQWgG3BzIwlKyDN2WnhL8p4ySo771FT9AGJpB+UxPP2xBleS3HLDe73R57fLvswEpbu36jfPNdlpGVZTl5xVZQ2GR1NRPW23XOxseedlJsfv4z+ixwDHoPMhLbAJ4Dn8ge+BCWoexW+5aeciQXcM3Ix6HDnxb2/YgNDt2yBtlLyhF3Cqts3lom369Q15BtK/3wgZ32iOzD/Q9u0J7aahs2FHgvrt7uS/J3XrD5Q592wszlTbga+30ZQks2Cpm5cU22U3jv5vXfslv6eUs28pbk8Oa1f2TXr3zDrl6Sj6M9RzUMyTczUy8Zp/ZnZnbYqjU59sDDW+0D96/ztjcEqd71zvu8ITv9rlevXqv9kSN82iBZHLDZ6RnNy7zm5LTsAFlaSbmv5OSZZyGSn5PMBb+HgN5HPwZ/EYhP5AreIgY4CZJ6ue+5C3Zo/pj19FIRU5UEYui3GpIFCL687/0cJEQmP4cA5hqHxezaVSu7ReZ6r7cRaG89ZyPaQ3PysyEBQ6Yf7Ra+Zj/95T9MtN3rP77LxNa/90ZxsLizM2QBvWD9A9fkIByXIhmQcS6TssmSQ1xtJUUT1tVxyaOEpJUfOPQFO3Lsp+2kBOSsHJeLbE5nykPaOyWGIVMrOFRPP/27Pp555ve0WIzfDz+d4JKiforXJplbODoSMhokXsTBkbIhRZeMshI5xuthIDftsp17M628slYO56DN7J+zeU6ZkiKO2VpPPhmcmRhhQBmnklooC3dkpFCi8o1AgfcR4cMpomcQCnhqato6u7osv7BYAJuSiTw5Li1W5hvgoo3QcHfiQ3ZgRo7vIVIrf9KdRDKLSPEMDifzQ8QAxRrmJ0RRA2CKkRjmImRuxYjqr0oRSMloUx0RQEOxT0iYBgaesNbm41aQ22krlu+w+97/uD326HrbvHGflE65dbRBaiE0IUMgAinmBAWJUKSCKYwR4CmAhEVgsHREgMV7eK+TghKuZ59/Qdf9lATrsvX1T0i5l9iatTTc32nLlu+1VauzpYAr5KgPOlggkj+iPTU99TGBvs95BCZGMKn99jRZMt1wjKWAAbfet00/nfxMyC0M0nEpqvmDn7XZqZdtdPhJ6+6+IIU/adt2FNsHHlxu7/vAQ7ZiNaRWvgxQuzXWz0vpXrWx4WcluGTYfU5KSmuWkCMX6YN2mQwtyFb2JWsip+E2zoMAncaT/lN/63n+f12vuyLlTCq0k1snv2JH5n/cDs59yvvRkcZbUTom41ho7//AWnuHHOJ3vPNROcUAhS1SermWtrfZqsqnbaDnigzsh+2IlPBJ7SUieQ6imA8BJJc3AYKQ+afro7wXGcKIMzDoMt63SF2nHFh76dp17SW9lzLFc2chBKWUZz5sLa1nLTtnWHPTbJu3VNqmzcXGMbDrOV1tQ4auN0N7vVBr1mFj4wCH4zLUIV32+nXKqdhX9C0Jivill17U/qLMI5zo9rJ+Eml4Uc8/R0r600/qem74ngSAQBwPDo5YeXmtrV6zWQYBso9yX+r219pDUr70ZMvK7rba+sPWK8M6Lgdndv9HHThDWpxk3SC0LpDZAzku8HT1m/Znf/Y3ica79/h+fURiK/ZzwiEhckRjU8oROc0zJ6fHCXMONamuOijdeMtLBCnzAagTeSQjBF2M40a2FqVaAfyjd1+P1Foc6G3eByCHAMIxglzA+SKzsqfnglVWDVtFRbe1tnTqGged2Dp0CGLrhF6Pjbrhzgu2BvuEDkWXYo+iHr7bgJzBbmHHAN+8F8CBM4RjdPLkCePUxX45TaUl1bLfmd7cmpPbsuR40fuIrBrIFDLe5vZzOtLnXe+SWeNOHlFKOfwx4wcSBPt0t7mIZB8E10LmluYWsI5TTPYNmUkjI09ZR8dZff+Q0SSdkywff4wG8Zm2e1e5dHKj1dR0a65mpV84LRJSgjkK/ZDchjspEbPayNT6rH3u8yEIg12CzPriF79oP/ETP/GqEe0Wg/mN5GDI3MJu3db+uODOYEZGufdQovyNJujdXVd0/c/ITiUN9bWfPMtG+4n5gtwMWVKR1ArzxlggbQAP2sPYMidCT3zJyzUhqCAYOSmQgz127aqU38UBL3ssPSNbIIEG422yZVMCK6e1r297NlMg2OjFE68jyUKUv8D3xuw696+WrBl7PZBb306ucXHNsDEQnGRE0m+rq+uinOMB27Gj0ugjRS+7Bx/cJECz29auLZAtH3KSFFkL1yQH+ASyFrIofC/Jn4vzEq9rMZM/DJ4LMhWuhXniWsjgYn8i55y2vG1bpXEaJKV/a2QrMjMFEhoabaC/X/uZ09vmZNfIJA59tZCzeDADACD6O6y/7yHtBWQqdV/wfzICP5IABg4qIMsYX5By4s6OTtnDLKMnHH1J3v++FdrPm2zd2gytG73HGiwzq0PzNuzN88mcGBuldCrMz0KmH5k5ACon/L5h3/rWv0403r3H9+rxRhBbF879tM3NftzGOS2295LVVE8JT5Xbo4+myTevtPqawzbUf8tmJjm1T2Cf8njtc4KWF2h5ceVX3FeD9IWkevLW79jTt4WjnhKGSnDU068aIVngySfxSyVPet8NgXGqDC5flD969uf9Oygp6+4+Zxy+tXrdDtu4ZavlFkiGGmvlj3fLrxqXDB1IAjBUeAg3yL8jGA4xBW4AKyEjkYSJMhTlKP4e8QEyh30DW/E5yCQ2kGoYKkm6ezjpvlB+514NTjoslnzVGafPFReNW309IP2ajcqHBn8elG46SrXQqdBSgB5kV729yyK+uu02XTbL7brmhLnxn9grDScBv+M6CQIRvxh5PHnip71qg+qPkYEb1tJw2DL2NtmGtbm2cYPsqPRgelqTk1r0E+RwrFL59KVlHKDBgU59ws/0Ieq1wQH6/IXWL0/cJOgb8Ch6iPnA/qBvUueQ+QsZxyHrOGQeJwGZT8tmfUJzqfn/8IchuF7S9T9pR4+ftaYWWoo0WWFxv9byqJdzDw/TK0p4/QDY6ic8MYJgwzmvfpGvTKaW7BZVRF7Cyk/p3pC19cuONehZRvCEFg6clEigcGTwSetqPyucMmbbtxXKZ99qW7butIzMPCsqqrOqyj5rapyzfu396ckX7PDBTwmfaY/HvnHa457oIXsI1n9CuNjJSNbuBkN4Jsk6vHzp13StkeASntJ17KeH59gzfmBWYdGIbd9Za6vWZNujj++wB6WHP/jgOvvgA+vtoYd22PYtVVYnGz4ydMsOyDc7Nv85OyXbexZfx4Mu7J2v+3V4WyDHS+Am2Sj2ke+lZJDIcP1bTnxdEza8on13QXbutD6Pnsb9/Ve1Br32+PJ0e+e7l9mP/Nh99sM/8k770R97u+zEe2TX18i3yLL6unob6Ou3qYlJmz90SHIJbyF/5/p17d2b2q9PCyc9by996CX7sHCUZ6h/IgTzPvUpRrBd0VZF4jiU0D8pv/aG+08c5NXdPWg52SW2euVW+6D3l6b34zK777619vjju4yTLekhui+Nk3854RF5OyG9Rb/rD2vNP6M5+wnN2Zft3OnYbuGX7R/+w79/2fx3txTxn/37ZKMI3EpZjI6/aH2DN6y984xV18x6/er6jSVaiE5rbDwh4Pm0HKqXZZw/LeNMPexXnHwIpVo4VDh10XGRMobUeipkZz377O/bc8/+gX5qPLc4ILfI4EL54NzQg4v0UQB7aqkH0fBDB4kg3rCiEjkVafmWV1BijU2t3nBtbu6ABI9eP2SQXHInP9SCP28vvkDKHqmeIc0z1amJg7/5H8RWBAq8H2ILB+no0SOeLtg30CdgzWkLObZ5a6n3KGr0SMItGxt7Ua/hSHSUrhxfKREHUlIOwVCRHRAz2aR0ndRadDp9Hp4GPCQZbAm5hWNMJhClnsz3seNfsgMyhlPTH7GhYSmYLtJCpz39Fcdzw/p9AjCl1tE+IFB3SI7hac1JOE4eUot7i4r1bqRWAAhEvMMAKKQOnnstcssztzTnN6XEOcGBk4l27Mz06OrKlTh9VZoz+ksc0f+u6PqfkkP8IQGfT0kIKUFMGrVLmUKYXpDSCREFsqZkuAAOAC4cQZ7TvIYSuxBVoDYbEEVNeX/fNYHKY1Zc0msbNmfYirWbbcuODBnQJn3/jMDKeRsW+J0ap6/Xp4xj2mME6Pw5GHw55Fe/IWVHmSxrIaWGwyDH4TaGUXubfYsjsRAp02vohQDpRFYI2XoQnDShn5n6sA1LuXZ1oIz7bMWqNM/Weu97V9pDD253kMAx8jXVB21o4KafNDovg3Dy2Bd1TUmEw/dSqqxBBgsY3AZYBoONzPl+khPE77ef/Ce6tiRNXUqb0knAxgXJLU3vT5z4CW+U39FxUUCqx9auK/J0WhoLrly1zTbL2cjMLLSmpg455wAHKWKaiSbR8LCvkLVFEnmRNA0yR5SBv3me/5NFuVjuS+Pr4ODQ2yE/v1CgaY2U72P2/vvW2WPL0m3j1grLytO+aTjqqehj4xAWyZ5JHBxXuE6wLwJMdNGf//nfJhrv3uP79RGIrdCsHCBI03ccrf376cnzrHV0npdDNSrj3Oklv/T2AWjP7v+4A0l0JmQCex4HNpIQZKxQfriUtMFmARaCffo9PRczjOMI9gqn2LNMkCftPyfcdF0zkqee3osC3CPW0tovUD4kB3NK1zLvxBZ7PkbloszEgAtOLrr1tQbOLzYL4B2byAM4kMOLly7oGk46MBkZocFus+w3vRVyBRQ4HWlUTstRz4CJTccjUeNOr+YIMgIZikTE301qLQ5es0iUYLMg97/mn02ZMOtBSXZLy0knStZvyLf16/Jty5ZS6Z0aq6ho9bLkQ4eOSi/Rr49Mm9CkGEDkpEQCqLj/CAIY2KNIYP3kT/7kqwbPY7dS55F55rPQT95zS99z/fpN2Z+z1tk1LAe12Sorp62t7Zyu+5aNj78QSEDP1vopL4MPUedQysHe9D2l+79jkBWln4HcYg//qtGa4MRJSug5SVK+1+hzWpNrWq9jlp9HX6ss274jTXYc4qjKSkv6pX+PG73iOJCGrB8/2Qo/Q3vOwYL2NidNQyLxfezP1yNrA8GF3SIoI59L14fPhXw5gICQlI2ur+dQlg7P/Hv88Z22fDknflUKwE34dU9O0p8tHMoQSllDFhIgic/lemIWxd2u6+nkZ7gWMv80X7oP5hTikOwt+pLRBw6ikaDiihXbbNduTsGuss7ODt/vs7MzdkQyBlDAD4SMws5EYtQBeQImI/hO3RP8jU/j8qW9weujvYolVMjvzPS0gFuLbdy4yw81WbkcgAB5XOGklvevKx51v5n5oXUEB02ErMhQdng+yeKPtop7/ta3/02i8e49vlePN4LYunTpZ4QDPitg+JIN9N+QDThuJaWjlpXda1VVBzzLeHxM+mT24/JZyYSQfdIe9z3hQfBf1Z74Te25hJy+nYKlnvn9gKNeNX7fbZXLEj6pB1u/JfskXXz56/KPICloRYHdfFmY5bwVFLdZWkauH+Hf3NIkPddnkwRgDh+UHQl2KhLDsYw3EjLISCRkInZIlSMG2ABZ4/XIEjqczyHADumMH0kW8/DIsDU0Nllaep5wFbqv1Psm5eX1G6d3Q5wPDQt/UgYun5hTXF0Hy16Fvs74xJDnJFWAr0Kl0IJ+cXuejCTJImDO3/H+ZEH3Sddc+kWjpy7VEQckrzTzH5TNahReyc7q9pLrPbvJwmy3/MJ+K9aalldMWXklY9Iqq8aspnZEuGNc9uKwnTh+XrbhmtYhkBWpGW/YHeaGOYp6KCYULOKumHkMycWcUuIJdl3Eqy+8+IJ8mCft1OlLNjw6r72239raT8r/uKq/nxNOJBHlc94aBd3jCQNnKfsjSzT4yyFbS/qWEYmtpMk+ex+djq05eODTNj35smzCM9bVedHq6+Zko+pt1eqdTkrm5tZZbfWYdbadtpHB2zYz+SE7TB/uJDvqzNmfs/P6TALz4WA52UvpPva5Z9gJoziZBKnkJJfw79Vv2tXL8rEuYjd/MVTCENSc+7hwAKcLnxPGG/aMrfsf3Gwc5vYeYaoHH9huu3c0WlP9MRuj3Fe2DFmjSo3yxwVSCxt1/RvJNSwmnDAcozPk27gPBG7nNbJlkXij3JfyydMkMRz9rI2O37Li8iG7/+GN9tYffpe99Ud+2N713nfZ8hXLtaczJP/V1tPdbRNjY3Zgbs5OHDvuJK+XHspWPf3sM/a81vTDL3/EXvZDcRb3SZC3OD7rfyOHyBdyGW0VNo/ML6q09u8/aJ0dNLpPtw96wsDD3hdtxfK98gsLbPdueq62ae0GpAdmrLn1rPUTPJuiNVBCIB+H1JKPoftkzjiJ9as/88eJtnv9x3c3Y+ufQ2wFgLBIbD1h7dootXWHrKBo2DKzu62ictY6u6/Y6NhLcoQ/rpvFEYaAiGWIUixSCsGpC4wn2SLRGXZlLKULkfXc83+4MAKxhTJG0cipwTF+8tueeXJdn7M0akeK6NzsR62767SVlbdYWUWVtXd0SYFM3EFsoTAXSZwX5fRTjxqIrciQsxnYKAx+j8p3KbHFZqNs5NixY9ogMzY4PKCFb7G8/GoZqRarqpnVfF20gcFn5HSFcroApBDkL9v5BTICQWZ+AkmC0XlSyncpsfX0M8zZUmLrm1I2v6F5/hWveUahHxQYoUcDCqZXa0PD9IL8Hu/rsH1bpoxBs01Pzem6aUR3zgmI6OAtjbpEA4VyRbFGAisChaUjklu8lvdE4UIA+Vw+n6gMc8dJeY1NHbZtW5ZxGgOnTBGVJk0WRphsLTdWc59JyNIvuRNLtNfTZKVgF0mtULbgp2nK6NOPjfK6S/S1QvkSVdDc05R3cuIFORRPWEfbGc3FlO1Nr7L1mzNsz74KAd9x62g/7cTXmMDd7PRH5ZRz/G2o13cyUmCFVNjrpKSmZNjRx8BJrbhm/OTvxEjyGogw1trLTnQfNKA/Mv8537tE8PqTMkmOiH3ssZ32+GO7bcPaIhlM7afKOQfl9KWhJv64rum09v45B+X0TwmZAZHUIoOMzLGnnuQ6kKMYvft9rYGG/n6KIacoRKhCVsUN+rc5KfiLMnI/4xHD2ZmPeEbA7r1N9uiynfbo4+sEILbKcOULoLd4yvjc/gO+ppC9ZFshZzHrhHWPRpu9xX5gfyFb/IzKl//zWuQTByco4NMCeYcFAMYE4JodsDzy6AaBqN22cXOZpWf1WHXtvHULJIwIJEzTM4DTXaSHThBJIDtA+yWQfqEc2gl2Gcu/+PP/nGi8e4/v18cisRUytmK5FL2ORiVTZJVUCzCU05y0/bzrRc+u8RJVOTMe2Q19HEIQJmS1AKJTHeBFXfx7chD+UHbgn/pPbNTS1yBPZCbjFKGjPOLrtooyyc/KVn5YoPaE9xwcGBgT+J8yTkQko8qJrSUZW5Q/RXmJ+jgVLETAgEMT5SnaK8ixG0/cMJpkR2JreHhI9rHDiotqbOsWSPNGq645KN13wegVRdbP/v3RXpERCkgIYJv7iU3icTiXEhGvNWIEPNisrzuxBYFDP5TJyZdsaOi2ZPiil7dlpLfa1m3l0nuVRqldW1ufzc6S0XZaTuxl2SwOfgm9IF2vyLZASnDvzE/qvGCT7kZopY5os+J7Uucx2K3Qq4yoKSdMtraNyw/itMhzsiU3HYhCThw+/Dm3wewpz0pC70RCXbon2KhFYsv1rX5GYgsQho1hXiA6ArH1rJONnB5YJvu0Y0exrVtPxlaBFRY0W3W1rqNN1yGHc3xcfpjec0h7jFI9z0SUXwABhHxEYssB8V2ytZYO/DTsAjrTo/Vaf+/FqD3BqdkTsqWdki+OVIeEXLOGTN4SKy2dEHi67oRlJG2Yl9B6AZ9H9jOF1AJshn30eteEPYUkDQQXmdqB3PqqA5oZ2amm5qOWk9tgRcWVVldfr7nr0RyOeKbisSPzAi7BD8TvwY8DkLPG0Salgsmlg+fpF8TriJIDxkPWVsjgP3NGtkpyPDzMSY2UrWZKvvJt29ZS7eVa+ThtVlQ0HkqnND8cEEDW6Pzhz/ua499wP0HOfs3ljIODCAZ/+zv/LtF49x7fq8cbQWxdvvxz0hNfcBuErkWH0PS8quaQtep3sg8nBfohg/G98PEA25dchsEK2CeBbfn/yCa2BtnALi1gKdml57BP4Cn97nhKPp+TNhBb7utB2gT8QNCPA6w8A3L+8zY186J1dB+3knL55FX1wjVt1jcw4MTW4cOH7NTpk/Kt//7EFnKzdCBnEVtFYgtshSzhP+L3kcU8OjYiHNVuhcWcdp9t23aUWUZWp5WVTXs1Aaeojkr/EqjikAnvK0imatK72BvsO0kSEweWYqvfDRVCHqiKBFcSjMFm3RTevC68KZk8ez747AR8CCAMjzwtm3lOuGHK0tLavEqHPrSFwsdleg58XFm133V0Xf2k1npCMn9Q/skpyfklnz/sis+fl5QFUivqIeYOvYNtioTWUrwVMFcguGL2FvP6sY+/Yh/+yEv27PPP6h5u2+kz12xq+pz19J2x3r5LuvannKCY49T0o7QOSpIGIJic2PllnzvIrDj4G+IplCImfRel1+mXSFLLlBNb8rk6L1tTw2HZpy5bt46qjhwrLuyxtubjno04TbaP/Itj0tkxuxkSMlSbyFYKw6HfPdhBNpT2ayqZxN+QXOCv69ephGEP/5r28M870XZYmGpm9mXdI/J10vILemzlqix797vX2IMP7rS9u5qspeGYjQw8afuF8eYPfS4QyLqfcO8hwBkOWAkE8m2CLjFBgH3jeyfsH35/RrbpaWRRuvo2mV2SrUBu/ZpdOIeN+orm6dM2OnHT8kt67AMPrbW3v/f99siyR237zh1WUloqP6fVfbP9szOamyPCdmdk4wJn4ZlaLzxvL3E4DqSW94C8e2ZklDv+x2vYUxFbgb8JnEKYUT4/MTEtHNygNeIUS0723CG7lS+cVak93Wy5OX1eedbULFwufTXOafskMJHld1J+Dj3skjnztZOs/ezP/kmi7V7/8T0ktj4eiC1K2zrPyvE8bH70f4UUS8spGxi8ZRNyhGe1UQGUHAPqjp0U5YWkzC44MSiWQGxFBwZlDIG1SGyhjANgePa5hNiiRnwpsSXlDmtMRhhOzbGjNKP9nB9b2t4+bbX1rXK4aBY6JsdhTvcRia1L2iShvxYlBn8XscVPhiuJZGOgvFFCKKM7ia1ZGxwelAFo19y0SaGNaLGOSYlc95N/UCAHDn7ao5ZkmMFQL2bZBGKLUrWQZfNq5RvmK5BadyW2tKm8md+JUCYwM/uKR917u29Yc+MpgTpOnqqwgoIyOcCDes1hKZQQuaTsC+MUs7W4z1RiKypXogVLFevSEZTsIkiIwpUKtBaN11WBrKMCVG0CVlUCML1WK3DF0fL9fbd83qboSTYnJz1JlSVi4o1mF5RuECTIHPaXAweUIsTWNfrucNR8OG3KyU+IrUmIrZvW0Xbe6gSi8vK7ZSwrLSu707PFKC0ZGnzSJsj8mf2EE4VHU2quL134Zbt2ReCOFFknkL5jt6T0bmm9buN4s16JgWTtWEeGE1tSxFwvJMv5BVL2835dEzLOA303rbXltFVWTgjYldpaAYVd2+usrGRKxuKS96PhgAAU8SkyyBJQDoC6AljQZ6PsPVMLJfukZAxSK5XQYjybODoaZJwsXqNkTE7T9WsQBb/izhTfASk4M/0hzc9BP9Vjw5ZtlpaRaVVVnNoxICeNtOrDmiPKhM47IRVLW1MjUeyru8lZVL4xsgCgj8QW/RaQ39nZWc/aKi2rso2b9vpRz/T8ollku+ZmYOippHFoKMMJfVwon1o00u7gaI9AsCNnf/EX94it7/fHUmILOaXElxNU6TdE821OGWtqOiG5v2XjY0GG6EEEAUbDeO8pob2+uEfkVN0lW4txB7FFEEb2a2nWFu9jj2H30FHIO/vQSbdjX3QwOzoqHdQxJ/kZk1xPCcgc1J5djNChI9HLUXYicYPsIDcRbDOiMxNlCRkDrEd7BbF14eIF6ZuTckD3yzYM6bs75JDXW3patRVI91KySUNu7MYUxB/kiOxVam8t7oP7iVkk/3+ILV7He+4ktr7sQCrYq6c1F1etsemon0SbltZg6enV0jFtAnvjntGGDb9ymT4TcvQ0NxxwsjA/um8Gc5E6NzFj626EVnweu7WU2KKfEp+HTnKy/Zmn3CE8L0AyNX3EWltnNY5bX+9132fTU/Rroz9SzJQCIJBlwZHyv+Z7NNiqO8kthkfEyUKXnoLYooQQHTZLs2LZBTJ7WjlOvHq/gBPHqWfYrl3FVlTY7YGrHkpLhkIgCCIpEluADuxDJLYW/bC/37qxj3HoueZAvJER+RXZ4i9pv34isaWXZa9mQu/FnfV+0igZ12SazSJnXsr6Jb8vl7GEPI7XAmj4++6hOIIt/S0n6vi8SG4d40Ch6ef1/SfkrPdbQ0O75q5PvsSo7/sTx4/J7p7THiLwsthbK1W+Xos4jmOB2Ep8GvYG/iC2yv1B2aqpySlra+2y7OxS27Q5xw8b4IClwoIhq/c2Cxxh/8xiVqTWyg99SchQXysHVZIx6RHm57d/+94Jvt/rxxtCbF39mmT7x212+mPaA08LzF7QXj0i4HjK8cKoMMy0QPkh7/XzRW8J435n4uOF6g50bwiosjfwNQM58wcJlkpw1AKWWiS2eD1B2EBsRVKADFrZJz9wiVNrPyUA+6S1tM1ZZW2HNbR06NoGbJxy3kMHZEewU+clf9ipEICJcoQfF307ZCmV4Eod/D9iq+j3pRJb6PpDhw/Z2PiIdfZ0WkVVjW3fRdZWiWVzcmj9MeuS3hscetrx537v7ZxUdkiWwEMEwF33ekBTeo+MLciRFH1Dy5tFYisht/T8ArF1iyqh33C86eWI6OYjX3AijdMXe3quyL84ZLl5fbZnLw3iO70ErrxsyqoqZ2W/Zq22bkZzOS0bd0Dresx9Wi/jvHVT3//qMk7mjzlC36RmaaViraWD//NadBc9uD75SQhDqiBe0L09q/t/Urr7hubqvPX3nxNuv+EtO2bmPmmHmDfpaOyWV6XoPvGlIJqw+cwhg8AfpFY4COvn/CAs/GyILaokJiY+IltNxtYVa6o/YiWFA6E8c1+TNQg7DMhW0uf4gB/EFQ9QI7s59PQK/lcIAMEVROJ2qX3g75gswD6+Jvx3+eqv2/mLvyw9SmDzJ6TvtYdJYhi4bo2N87Z3H8kCWbqeRl3LvI0O3rKZCdnsuU/bsSPSv9hsbKU+w7FUEgRyMhQsxTUk17Eob8ngb4aTW7pm+Y7obXpxXbvyDbt88dclL/h/P625+pQNjz5hBaW9tnL9DtuwdZtl5+XLLtTL/+mWTZ3Qvj9op8jePy9fMEk88Z5a2ie09XmFXlrJPllKajGijPE/XoM/GGUMfzBmRcIBkPjT29tvJSWVtnnzHtu4Md2zIskuhqQtKaYH5BnJv3xDMsK1drSbOnqcDD98HNl0SC35L/g3BOt+7mt/lmi71398D4gtSie+KKfzE05s9VJT3HbKKqvmPC2tuuawtXdckGIBUL7sG/uQl2z9pDbXEsC9wMDGjC1tAG0QNgUE1quILQ2ef+ZZNhEb+zsLxNY1bforTmzJoQHInPkZd5xwoIjYDfZflJM+IoPRY0ODpKBzjHogtijHuPEEPbZChtILL4STlFDIqaA7daBo+F/MOGJjsNFwZEIpYgDd/f2D2pwdSQ31jLWS+TP4hOZODuf0h+8gthYa5N1BbOHkUsMrg5UQEwtKWEo2klp3ElsAJwnNEmLLM7YWiK2TUrBjVlraYm3tXR51CQ1UT+seYIMh+sIx19xjnIuoYKOj9/chthhRwaKUowHjs6JgEeHk+zhRiEZ2o2P7rays28pKR62udl6A65L19d10x9hPQzwAWAhliBBbgIWFjC1PWf1GMneB2LrOsb1kHckRX+yzJbDryvfj2qsveNlLWzvZhwdlhIYsM6vboy4tsNK9+u7h52wGMhJjqT3N/sJxhoy6rM+kj9cNfS/gNRBbYZ2o0Y+K7w5iCyWs1wViK5TinJdhOMVRwknjxUnJ2EDfLc9YIxsgPbPJtm6tsJzsPu97MzDwpBOkGHDuhZr0M1yTHBJ6zl3TPqBvgpOjbhAkY953AeWLLAVCC1l7Njo7TnCRuRWNBeUe2lc+f0lDbt2z9xY4/DkbH71tNXVDlpaVbUWlxQJb7XLOkLH9yZ7iZBd6ayFji9laEKasP05M3FfR8YkOTlS+qSnpRMEjeYyMDQ0CDJptX1qBn7pCOro7hL3h6PiQrfVZXQtEKETk19whDCVm4XCGQGoRCfqde8TW/wEPiC1sjO9VOQ/IOqXDszMfk8zc8uBLvZwsysYGByVD9DqUDPEaD8LIVqFT6A3A56A7PKPPia07HSpGKrH1WllbvC9klYTs4ki6xf5JZIvNzOB0UZI9Lhma1P4ms/iI25SYWfykkzch25GeWcgI8sNAdlIHMsXzvAY5Q44AG963BGJLQATijD5ANAFua+u0yopWKy7u1s8pz9ZiviBS0LtkH7neTfo0Mbc4niGYEED3/x9SAt3Ce5BBPieABOkVSgeklynJ6u+XvWo+7pmzOdltlp1dLX3YY1NTM7oWyhDPaC5DP8inngo2y+dGeiPOSwQEcQAKsEtLSS1GfP5uxFb8PGwhDVo5uZUeFxe95OyM9Q8clO457Eemk3kR+kihm/+B22Gi2R6EuSCA4I5fKrkV5s/tlX4HeF2+HJoUU+rnGVvzX3CSiqb0ZOpyYl519ZwVF9DjtMToi1ZeNq79fVqO6XXtIQjJhNhKyJJUYgv5iKRtIJQCKL7bWsURwAN2KxBb7GMntk5+yQ4eBMi8oHu/5fKVnz+gvTTu14mccS2hlJUehwLnuo6gh8McxP3joOEu3x3Bw1LZYnDd6HE+w4Ockl3AET4CmS5TU89pXY5rfYYEfgdkG8b0/AE7Ll/tXJKlvpApIRnB7wmnIL5+xlaqnJEpyB5MDXTiD05PzzihVlEhML49S6NIe7nLSyW9dAqf2ffLJwV02C8/5eRxIEJDVmSwVYH4I7B5j9j63j/eCGLrytWfdyKAw00G5dM1N8sPrT0mX+q88MJNgfHnjf6gZJ04ViB4KT/msvY4/X4CeAyBuRgAj7JyN2LLfb0YyEwltuQD0YOVEjMO9zovP8nbY2gvhoyXl6xv6JzVNAxaXWOXdXT1CcuM2dyBWb3mqPbqBSe2bt16Up9992oPZOm1Bv/H78NWgTki6I7EVsjUP6T5GLXOXslObYOlZZbZzt1VVlg8Ys3oPcC27MbU9CvegoV5xVeHcIF4IbGCiqGrsulObKXMWdR9Xn4IoUVFgw/0jXzhp2h/8227ceubC8QWWUqnpP9CL6dP2pjr5uvW2HTMSkpHbN++Ftuzl6qdQSstnrCK8knJ/JT+P2l9/bOauyPSnWS7xV7Pi1nH2LCIP7Hn6JqYqfV32TBGxF0xqQD7RUnixz9OFQTtCGge/ox0723tqSuyKWdla8/b8GiCKQ58xg753P2UdOhXfB9gu7D5YC0CLiQT8DuZVefI1tK+J+hF0J9m/bOznxSWo7fzk67jsAnFRSNWkNtn1ZWz1k0f7qFnbP/kK3aY3kxgGPSefCJI1dRWIbGiItqouFZLbYDbJ2FlcNWVa9+0i7KxZ879gh078WUvsSTQg31qbz/rRGNWZq/VVB2w/p6rNim8sF8ySIAzVAMFgi1eB3YZLER22AKhpb2RSoQu8BeOraKtArd/x/2/cAABeO/rPndnz1E99JO6to/Z4MhVK6nosYycUmGpKs+K7B8IBwl5ViT7RFgqVlSxT5zYoj8xxNYnF7O12CvRZsXf2QNhHwR7FfyYu8kY1TDj0kNtlpEhXLU127bvKNNebrK83EGrrZq3rs6rNjzyrE1IzvYLj5PhR7bWGc0XiR7e49qDVSHY+XNf+/NE273+47vcY+vfCSB8WU7aFwUWP6EN+6L19F2zRjmdkFplGkSeOrquJIx5ILb8xBuO6nTiJumloM3mvY+kRBeJreDMhM0RQPdzKGQp4RBh+EN/7uln2FCQPIHYuqGNdlUb7vK1r2sTS9E4sRWU8fwRMl8+auMjt6yj7aA1N/XJueiXkzGr65rX/ZzS5iLKEE9FDNkk0bFJJbfYCHG4A6P/ARQgZQAKONYxqgCgx5GhERsnUJSVyBDUHrI2CROGanT8eSneVGIrlNSlsuK+Ka7j9CMMSRaQBBbBBhA8qcEcxHHL+40tCg1MNTXKzIM3dvWms89YT9dVj+hW10AIdGqtRmQ0ZwUSAFBn9H4ya55wpz0aJhTsaxFbMXLwemMpsYWyjqQF38Mcel+Ky5c0J8eto1MGoGrc6uoSYqv3CS/B4D4OeikgfV6omw/zduGClK2ECQVEY8MQBQ8g4bqMEPOJQYPUIAqKsiZKBoCCxSdiCoFUXXPAiorHrLBowurqj0oBXpaz8YxNjn1YSu/jXvJ3WO9jXheOWpaCD8RWyI4KkbM7jWWq8nUFrHWk6SCAguv9u4mts1Zbt9/yC3ssO0sGvXLOursEXEbon6JrIivS99BX7CylHeeT0sirXE9ivAEL9F1IjDayFAitIGML2SZOboXMyAVDQVakg60k0ySJ5J04+pN2aO6j2lfnrayCUtt6gYZugeRRJ7ZiVuSdfezCqaN/H2KL5+Meicr31cTWsBRwpxWXNFpWeqtVVe639s7z1jdw052MmI4eTngJJCgnmoQsgdBnIdUpvEdsff8/ILaQSXQpNsfL/QSop+XUQAiQrdXQcNRo0ky5Fs/TD8Kz+pBrSJs7UqlTia1Xg+4AIrBXBGKCDC0F3x7tTYgtT+OXDeQa+S4v99AepdfWyMgN6ZxZ6+0dF9ANWY/xBJzUMgUckqUydLeBrUJ381reg726A3TLVnEyHMdINzXRc4wxLCf0sHTM5SRT9UVvWs41evSbSCbZR3JyF0oFEmIrZv7EkToHqYP/BYIklN0x1wQcIM0gYOhPFQmc5paTnrFaWNhuFRXNWrNh82wbb1h8Ts75VelSiK1QRhZBQZwDdEoqGYGjj01aCgz4Ow7sWup7UoktbGJ0CD3SKbt/9tx52ZLjAqMHra2NTLcbfnjOrBy/Q4c/4/cU+iVxcu/POxgI+ysQg9gnso3QSfzOc/yfrCYyd/Chwh6RPzMue9V73YEcJ3wWFw3a3n3Sf1kdVuMZztJ/EPtyPEMJaUJsHV1KbEkHJuT+gi/m+/u11w3fg9fxnlCK+CspxNZnnNiCDG1oPKY12+/lkl5i59laH3NyDlsVyOPUPl+BtAm+4J3fjyyltqdA1l7dx+6f+N4L++nOrC0HnbPYKWz8nPdEG/ZS+TnPpjp3lmyJq25f8EOi/xflClsUQcLSwb6ItgpZQ85iKWIqsUU/r/5+MsaaLC2tyHbsKPVm0k1JViQliDPaK35iL6VT2iv0HvOAne4lZC0kZZpaA+73HrH1vX+8YRlblM1q/Qmi1tWfko06IT/mog0MUf3ygtEjiExWP7TDM1qWEFvRz0shp8PhW3dJEnA8lUJs6bUQWzckPyFJIBJb9JAK9onr2z/3ipdNtbTPWU19nzW39ej6hmx6dlp7HPxwXtdzXdcSggypmfmpssTA34sjPhdlKNor/MSYqR96bFGKSMbWmHX1dFtNXaPlFdRZbn6HVVJ+3UEg5rb+/4L0JE3jP+uydEw675RwwquJrRD0pdULfq7PGz6y95sNI/aeDZmq9M2V7ouliI43f8E/G90KKU3Gk/eGbD0l/Tfl/bV27KyzzKxOyfuAlZUNSUdTSjmpdT0ouxBOC79yJSQUpFbKLMVc6JtUzBXt15e+9KWFkWrLeE0kttBf+NWf8GbyHM4UMrchIS9evC69Q+n6SQ0ya4WzZGe8JDESg7L52C7svtsv6W4OvOJ3nnNSi8QX7U+y5OaE0SanpHNHnpMNf8KDiPQ/Ky6ZkH8x46e+DgjTTYxob0/LLui7jmsOvde0vofPhzgLvkVCbMn/WlinROenDp4PZYlkH37Hs7YuyUadu/DLurafkR3+ceHHjxqn8XbS86v2iNVVH7Ye/T469KQf5jbn7RZCIMp7G54Hj8d2FN/UfC1eQyC1ooxFOQuytpgoEOwUh7xFjA6WIgHj0hXKN7/muO3oMeTrw9bXf1Z7ud/KKlusqaXD+gcGPWPLia1Tp+zShYvCmsFWhUScFxJi62P2cclQxFDYpVRCK/5ksJ/YV+yv6MekEltHjswbPV67unr9QKEdO/Nt6/YSS89o199T1tJ01gb6n9Re/7BNa74OHCZb66e0R74qP0g+4UX5NdIfwa4HvfS1r/1Fou1e//FdJ7ZC9s8XtDk+5hu2o+uiFFwoQ6yQE9PYdMJTQYeGn7krsQVwX0ir9h5SOFN3AoYAEhbJrTsHDCibGkX0bVcyC8SWBOCinKxzUsY0vAsN7L5gBw58XBv2WevrPmtNDYNy+rrlREwkZR4hBZRyxMCWL24WnBuUSyS3UMxx8DfP8xqUEIQYwB0ATyofDbPHxrQBWkjn67SKknFrkBC1yeHsH7z1msQWR/deEFiADfdIuObo2vV/pGsj8wih+LYPHDhAAT8ZAHOa6ONsehoxRknCfFpGic9GwcNUExXskvKvr52x2tpeOeE9Njo2rrmY03wd03vO6vuu6rNvaq7vJLaiYYpKFkGJSvb1yC3+n0ps8X4MGZ+LYEViCwN29doVGdMz2j+HrbFh3GqrD3i/kD5vYPyMO+pzZAJqH4YS19BcFYaflFGUEMARZQjY4ucCqeXOLumfzAulHT/uxMeY1oP+H430LKmYMU56KC2btcbGU5qvazY8qPUaf8XmZj7pZZD09wqKLxJbkLWUCgQFHIitYCwXmf1E8SbKF5KStSRqBJgBIL4msdVGue+clZaOWKWur635rPX3PqU99rIc5s9Ixug3pnngWN6zlFDJ4bn8dbtx7Rt+ckg03E/LQKdma6F4GTHT5PlEGXtmZEJsIZco5IUTN3WfHLvLd5089lN2RHtrllKPDhmJuk4ZjC6tExlbs3cQW6mgHPlCtpbuq6iU+T06OnGP8L5UQA6xNTMzK0A+4nJWWdXnctbUeMK6ey7b4DD9AkhHp88Ne0UyJsULKQexFSIKISsy6KB7xNb/KQ+ILXe85HTFjCiayAIeOfSA09Iam45bd/cVzySB2DrgxFZoMgtoSCW2cEQi8L8bsRVGILcYS0ktj/YuZCeFjFoIDWQ+lplxKIuT7DS37zgup2JS1zvjdopyQfZ8IHBCP0h0JnKBHKWC8DgACAyeT7VVS4Mw9P+ZmKCpd7/Lb0lJt1VUTEj3HQkl2HL4yCQBdAGsvARbtorr9qy2BfIv2POg/ygZwAEEgKP/Xu2IoltwEnmP6z/JJPMOoAck+Fw4gXPNM7YqKuhR0un2e3w8nMRFfzDKNCG7uadUYiuCAgZ6JZWMYODsx+h3BAHYKH7yfOprF0FBmNdIbL3wwvO6x0BgcB3zR+iTdFDXS0Tzos/dpObuwEGc5RB88PIGBwch+h3sVSC3Fga2X8OJGdmYU6e/rPf+hJMe7FWAhzeP1x4mq7iwYMBJLU7cqqufF4g4r+u44faebETKbAluxYyt4LDjZ4TseeYfpz04oXGPL12zYAsieeSBDl0rh7Hg24VSxE85GQmwq288Jh9jPiUbKWRFevaafDMAM/cHsZWavX+378bvC8B8sY8doDz1NYwoY9FOkb0PWco9Q2xPTb2geTsjezohwDDiAU6ax58GMMhGXb++CCxZ33j4AAOblAoWGKG8J9gpRgQKvD8ChWCrjspWzQi09Fl9fZvlF9Rbenqz99phfkIPuw/JZhKEQcZCViRlMGSNci+p8hXk6h6x9b/D440gti5d+ZpnuJDR2Nl51aprjll9wwnr7NLeGJb+nXzR5g58wg65/sXnRf+SeZ4QWw66kZ+AC9zv1P5YxFIC2wuZ+WG4rVqSsXVD8heILU7qBkP8ogdK/bRu4RSuYXIK3XPGahukaxp7rLtfwJuMkvnD0lW0drkiX+8J7X+ytjj1+s5T5rFH0TYtHfyP16Bf0eP4fBFbEdgBW2EPKSPu7Oq2qpomKyhqtpKyIdd7HZ1XbGBAfjGBmBRiC/lPJbYuoW+vL5Y+LxCC8v98PCn9s2Qwp9i0J+Qr+mFlmnPsN+QO9hCbRasDgkDoP/rPVlfNWE5ul23dXmm799Zbbl67lZZ3aW37bWBwSnZhXnIebdhiqw7mLNp05iXqHmzR35fYYkT8xXsW9RXz/Ip95GUI+Oek78KpeCdPXpC/ccx6uo9rDq85QUeP7AMHPxfILQ8Mf9lxaiS4sCOUKXL/nql1/CftkPT7HE3j9V4ObcK/ws/iYAw4gpLSKa3VUU9WGB6UfRr/kJ8yf5iSfYgtfY5nSmleY9uiQGxpf2v+2acEX2IlTOqI+Iq1Yk2va23Zy+cu/oqdOPWzdvjIT+i6KPd9Rn4EOPiYtTadssG+GzYZAwsHODWd6/iKbBTBOyqBIEKD/kW+4vc4sZXgqDuIY41FYitWv0CMBvwO5mD/UJnFiY9UHWE/5+fJ2heW0hpUVcsfa+wQLh2Q/E/Ifh/0jK2L5y+6Hxj3yvMLxNZiKWIqubV0RHzFvgJbRTm7k9g6LNs4LTnvM/pv70srtY1bii0rp8er8jolZ5ygOTH1is3OfVp6SftDePiU9kIktmLy0k2tAVj45/93JrZopkbfqqnJV7Rhn5KDcMbKK2etsGhMRvqANbWcsS45XIHYCj22AliA2CL1nFP/QpTuuh9PS2ofm0WOsIx1aj+i1xzJJrn15HekZGDPqXf+TRcA+j04ceHEVgAL9H2YkmEY7CdTacwdi4GhYW3wWTkRSdbWhUXQgGOzlNxCyaCY2QgMfud5XsNrAdwAdxQUzbJnZjg+fUSbs11OTLuVl01Yfd1Ra6NX1MBtG5XDTuYRTXKJhIRSTRzeUMuMQwZggNwCfEPQIAwMFDEkV/jJ3+F5j6Bep1yME/Z+1c55tJIj5X9Syumzvh4omc62c1ZbNarr6ZDC6ZMCC0Jz8hQ18ue0LgmxtSRjCyWLE5cqNKmKNo6oTOOIz8eoAe+NICGSFjEyg3Bdu05GzgU58cek/CasUiCrpemEZ5oNac/R52qWLKUDlJclWVsOtEIUGoCEI8h+IMOIwakxNHrk//QmwDFAUUOOUao24g2lr1it1oi9nF84amUVc9bYfEYG9JoN0qtkAhLpk9pPRDEwllEBU7cfy0dDFCiQkN9yRYwyg61nhOw6ngukZGDvkwiZ1pu1p5zwGISsgN0kp6wkPbaqq2YFXMYFFg5bR/tl7aNnBSJesbmEaDt+Ipxg4ooFYksOT8ggi4Y7RhkACsHhubPkVwPA4OA8pNAGBZ6asZVCbMm4nTxOP7Av2Bz9cIZuCtBNWktzl/bZkCtGeuAgXzglMX12IcqQ4uygZNlbUSlHsJAKyiOxxeecO0ePrXnJ0JT19Q1bgxyFsrJBq6masxbpII569hNeiDrJyHIaIj33Tp8Kp5t4/bcct0BshUwBdAnr9ed/ce9UxO/3x3/+z//diQOcLyKNlOkSTQVA4mABKFuaT8qJk3M1/JQDCkB5PD2J9wXSZtGxiroWx+ZuRM3fNZAjQDvvR5dDXqDbIcQ9IychtrhGTozr6T0nx3hG1zth9IOMZfNErSFRkINUciuOaJ/iwEbF//Fa3sN7YxAGR+nQwYPSqePW1sYJXO1WVNRrFRWTcr45ifayzxkE08zsRyVHkCOknENMUC5A83hkicyfSG4t9otyudLg3mMmThyA86D/AkESiK3FjC3KckZHnpGNumxNzUdkB3rkZHV4FHFiktMQwxHzfxexhV6JpAO2J5WsigO7hA1bSmbFEW1W1El85iKxRTlH6LNFI35s/8TEIelBDjw57tlmZCpRxnnITyWkPxmN5CnlJHPra8GBl13C3kNykWmELYDQwKYRPMHZhxCam6OH1YecMGNtKO0oLRm3XDmcHHVfWjYu0HDYA0EQXxBKEE1keUGK0R+N/Y1M8N0XLnLASCgFdHJLujB1nwd7RaQ5AGYHdlozXkc0lh4aHFLC/fDZXB97BfK41nvYhWytYa0jMkZWJPcBucdaX7pMDxUa2IdoOJ/N96XKVyjzlY1KgEK0U/yeKmMMrjHIGNcWMiIhtwlChfJW2fqR25611d0zorWa1DXJ9zlxwvcRPiDyga1hHyFDsc8WI9qouBf8ueQn+yLKG+9nPyKvDhRkB4mA9/TSB6hTPmGblZdPWEPjcevVOkUdRLbAEc8aFUhI1gjywtfIfQvmaPEEy3vE1vf+8UYQW948fv7zLtvNrRdkn+atvvGUH8I1SGBh8iUP0DmxJazASW9ODLvfGbMuE/AvvzI1awt/zwkuhpNcydDfAHMCr04ESHaQP8dSTtpQQUCpPO1MQqXOfskv19LXd9kam6YFvHutx4ktMko4GRFfL+hjMmgdeD+/WAET7dJSgisSWvzvbtgqBg44DRt7ODwyaq3tXVZa0Wh5ha3y1YVnGiBL8IufdELFDy479Dm/7tBbNWmFI5sb8AGVHeHkdCe3bkrHxYC0j0ByMTf87hUW0YY73iSRQjp6CbFFz9sBek+3nbaa6v1WUNBr23dW2abNJZaRWWflFW269gFd47TWHP/4zuBMJAOZr2jD0DlL8RbYKhJbqeRW/Htpxhbv//SnP2Wf+CR+9UftIy+HA1BYI+zXufOXZSM4sf+QdXWfku24nWD4Tzh+JIsJLMlcYo/IgsdW4wtgU0L5ofC27Aw9uHkv/eLoN0nZHwfRlJRO6v5pOn5K+he78Kz2Dgkwn1zobxrwXFKyTwDa/QrpvpvSfbe0TsJPgdxa9CViryv/O1mvUA1Dn63f8Oqlk8LCNDfnIBXsYnPzWaurOy5bed4GB275uu2f+ZgHQI4d/Qn5Rl+RjH3N30sF1MI+Qb70HXwf8pNa/ZJKbGGnQslvSBIIckaVzndcjwdii+DLL3iGGiWY4TCzV3R9EIFTmrNO6+js1V4Z1drMac6P2/kUroK1cywleUF2PpbYqoij8FuWjoivIraK2Ju9F4KdpzVPh4StJmW7+2XHWy07t9q27662opJRzzAmaDY2SnuKjwlfhXJfJ4+jjGnOsL8LWcaas/99SxH/6N/aCW3eQ7qRqfEPe7Nt6ogLi0YtL3/YqqoPSCmftS5t2KGR0LwPoSBSyXGoEFtnz35VN40zxdHO2iw3dOM3v+Eb9gkp1ps4UXHTSiHfdbBBXMnIiUERyyFyQkebhBPv6P8Di4xzAGkEYJmSwRiUsmlomLbyqmbrkoMxPjElR+ygO6OAhgi+U8ktlDILH53l1MHzKKEIFBYj4PNy7qYkzL2aGyne/E4rK5+UQ3NUCu2C9fXfshFtCmrAvbmhR+gCWPBSMhmssxJq0oDJQAMA0QQPxyaQXIuZSD78ef4vQREI86wknGIULqBOygICbXyC49NvWlvzCasq77GG+hYZqH53uA7Pc6qJnLuL9JqIDQyD0GBkXGgkCEuFJoIFFGccKN6lI4KGoFzvFCzmku9hLiE+ghG7KCV3QqBqxiorh62+9pB10u+l75aNjTxvUxOv2Nys5o6T7gSCIst/PiG3yArE6EBmQTgFUksKRIAVA4cQIoycbjg5+RHvCUfDzorKA5aTN2gFhaNWUXXQmlrOyrmA2IKo/Yj3loNIOixjSXozdfuctELk3bPsHCBEIjKUQj5xi6aHIRpNZlAcOCH8nzX0bEOtGSTZYsYWzeOf93TdZqId5dO+j3CGuyDbBp/TmkJscUIkikXOMJGUc7oWJ7ZCs0NOUCJKQIYYSp96b7Ieg7OzeGqOD1fCZJws7bG1hNgiyqDvAjBQF+8GXYCmq+OY1dd1C1T1exYIaeMcd556KiKyheOP/LC3UsktBwoJaGB/sO94TZQ19gdK3ZXvvAC5vqOzc8CqavqspGxYMjbvWZGUlY5o7ojOzEFEElFYILbkDCapsiGzT2sFGNd6PHH7t+4RW/8HPCKxxYk+ZKxCyExNfcgNMlkk9LWh7JjG5Dg5U7JVlL5hq9DFZMks9LaRHEXnCiMdSJpF4PB6g9cBuJ0QwFZJJgOxFUqlFjO2ftz7bE1NEYAg4ntAOmnUZqZn5dRw+t+iHMXsx+gE380+xcH/eE0ECdGBib0g98/OyhGnnLfLCgUSCovIfiSj7Zicqkt+EEwktg46OSMHV+CKOeJ0PU/Vx5GR3eG+GCESHkgS7tuPxk4Gf4e5CMEYf09CQjAX4fS/LwiY4OA9KbByXg7orJWUtEq+m2WzeiX39Eea09oeWwAFUbegK7hv9AZ6BV0S7dZrkVt/18DOxc9AR/GZfDbzGsl21gOHk+j7zCyl89PW1DjvkeqQ8fYhz0CjHJB1Zv78xDvmUDYJkof96uUXF37J90Uo8Qh7g9fjJ5B5xVpQbuN9F2UXiwqHLTOjw3JyeqysbEJzdVi+x3n/bg5GcGIN0mRO4EH7O5SVhB5pkGoX5TMx/05uaQQHPq5dGPF3foZ1g4wU+L1E+ejP6/MgjsKaDet+cX4pO6H8hDIUL7PT/9g/EGAElrhfCBuIvFRiC1lZKlvYqgggILnoD8Rzqa9JlTPsVNxTyDG+FfcNuTg1RXnrGa3RmORsxIEy2b/Iw9XERiFXUaawT34CaWKfXjX0PPsCW8Xr2X8RLEJ2IrfYwfGxCX0nPbY6rVgyRgPpltbTTkCGwxnCGkHCx0NOIki4dCnIVpCrRR30nXvE1vf88UYQWxcvftXLlakcqGs4JYxySJ9zWljqqh+AMz75ks1IfxyQHTsCVkjklzK4xVLwkHWJjg39QoO/93p2KhA3kbQBV/yGYw782XPyJcnMdyxFdYN8TSpxIG6aWw5YTX2PrrHPxlwf73d9TDuTUAGzeIqvg2/JBmRNHMgLujQO5Izno7+HbkWfI4/Yq3hgEFn6/YPCBI3tli98lVvQaeWV+MUnFogt2uQAugMhI3k6JnnyvmShIibggoTckq4IOk86LqmKCT2NvxMqHTT43Rt/u+7DZw/EeeiRRF/IkNF2UHhuSms1OHjTyZyamjnZ0z7bvafG1q7NtX37KoQxWq2re8gmp2b0nnnJOYkVi8RWJAOZB+YoElsRb4GlUomtVHLrbqQW+CvaMT4HnYVvzVwHv/pZ3dst6Zgr0lVntQePWHvHIT+NmBMeqfQBxx/0ufyCE4X0SITkIosY/AXOpt0HFUhknVJVw+EpBHaw3w2NR61U2KWoZMKqk5M+e/vphRYOUfND5vT5QfeFrGZs4gJxe1267wmt0U2wlPwI6Xl4Aj+cS4M9Hgd72dfriZA0EBrI/5JnE4GFOZSmf4By3xNObHVqz5AwMTUhH1DXHomtmLHlpeBa67hHYnWHk2mSH8dRJAmQFflcCLoskFqyVSEzElvF9SFn8eTRhNjC1uvaOPjrKMTg3Cdks+X3tB8R9u2y5tYuG+JUxLkZzc1RzctZ7b3Lbl+Qj5hdjPywrqk4ivW+24h+TNwDqcTW6dMntc5zWpdxx3E1tWQYN1pWbrtVVs94H+p++RUT4x+yWTL6PMEksVmJXY8VZ8iW2yzJzs/+79o8/o/+6N8ERnHmkzYx+pJHmqokuJlyqHLzB52RbWk9Z929kdjSjePMacNzKpA3tvZ+SKFBekjBD44UwPK6bv4GSoWNyaZ9jRGAdtJ0mw2CItbnkK0FaUbW08mTSUYOzqBHwQUWtBiNDQclYK3W0t5pw6PjUpL75XTM6/UntSDnJNyXFpzkCBxYdJQsGyh1RKDNBgNso5xwYvbvPyBndkxOZ6tl59Rqbrpd8dbVH7EWOXo0Nxwaec6JEuYnKAxSPUMzdFhPSgjP4OxKCUNSxWgude9sGCKlYfA7J1Twv1/xDeXp93LmSBPFoSPFGZaahoo9MpSN9futvLRZc9GsDUpjOjJrOL2OqCX9SuTcLek3tpR8QDgiuQVZhcJNHUvBAc/x2khqRUcQweLz+R6+D+Gi+STH3h4/flJO/AHN45DVVE1ZGw3Bu6/b8ODTNj76YZuZ+riTOqHMjLn7ioSSFNmvOanH3IVGh7/oWTrMBwYIUsuNkOYdJQzzjPNNFKGoeNIysnqsoGhUQnxIxjsSW08vRIH4TlIvOTEEBwMn5k4iEnAXiEbq8J285VRB9rj/TMYNSiQBuUl0DJDrpzV+yY7Mf05K9mM2hnHQ91MLXlI8ZuUVAkzMQ88NKbvnbXziZe1ven4JbC4QW6EUEeImnOIBYAh9v0LWBCOUMnj5VEppIiciPq2/Y/8SnJ4IFpDTuxNbX/RTRDiut1/GsK5myNpae+Ssc/poaCAfs7YgLaPxRqaiwxP3V1TM/H63/YFceqaJ9uqhQ3NauzGtkQBdebeVlo24AaXPghtNTtDEuUmIraNHMZiAhdAUHLDAWrEGThS7DvpH9ud/fo/Y+n5/QGxBGMRIash0ecnoq0BPIgiBtraz7niRxUqkPJQBJUeDS2+iL3A6AN7RAY7AEnnAQblb2VTqIF2e1wAaeE8kBEIQhkMsIN/C8dgxYwuSbWjopq7vkDU1jcpBpIn8fu3hkP0YyS3sDvYHuVgahGHwO/IVZSfVVoWyjpMOuCfGJ6y/b8CqKltkr1rkiA85sQU5QZnUAM3jIbZmXtHric5xylQo74A45B6YJ0gEn6sFmQqDe14cgeyPfy/qk8W5gMRhHaanIfhuax7oIzVmhQW11tjYaj29EFuhfD4SEnE+IpDi/hdIicRmMbA/MfL9d41ox3htJNqjXgJw8NnMbZxX9Bq9vmjEv38/zeNl7+um5dRD7NzwQ08gLmKvK3p/xjmEZOK+nWjSHODQQ2i5ftU+9Ei4/Bj2Bplfo6MBMNB3jBMRc3N7bd/eJs/aImOLvQ3pRUYXvZsou8D/4TTFkHHH9yYlkU5M/oLPPyQV6we5xel7rA97feng+ZCtJfDr6/ZzTtJFUpYynBpdA/5gKLN70g8foL9WJPYisRWyJ5J+otobQa7CiX93k6e/a/AeZJJrxFZxfanEFvcMMJulj93wdV3brPyJYc2NAOb8ETnloY9dzIjEPsV9FElS9kDqfoLUolwRO8XrIiCPZCefx56gSf3I8Ji1tHRZcXGnlZaMOOild6ZHv5PDGSiHjuAuElsQnfgH+H0BXMV5+rZ9+zv/NtF49x7fq8cbQWxduPBl4+TmoZGnhKmOeLVAU8upBWKL0ropgnTSvwRVQxBT++OCfBlImqvCAYl9ekL745ZkIDTaxucDMwWC627DfTz5hhDXwScNJXYedDnzcw5WKX/kELBZTrmD2Bq8aa1t81ZZ22OtHT267hGbniED6ZDsCn0PAd9BJ8ckAfRltE3ICjKTOqL88DpeH0kt8BhyhO1zezU5JYw5aBVVLQLbEFu9VllJ25CT8v0uLyQO0N8J35iqjKNHhQ9OgA+CjnVfXbrH5072J9j34AemVsXQ2xiyy3/HdoFV9Tp0JOQY+AK9TXUQPial1hBbQ6nEVnGf7U2rtVWr0m3njgLpxnajDBqCLhx+EvTOUmKL+UgltrBdEVtBVi0lt5aOVGIr4q+IvZYSW/TZunLlmubnjNb4qDDPrLW2n3ACCN3k1UWyP2AmbDOYC11KIBCbgl4neYJMranpj0jfP+dZUJTjN5FIUbPfCgqHpPsmZJ/m3Ufv0xyBSSdkM3gfui+sFaQS/tfPaH7JCCdraym5RasDyK3AFSyUkGqAc9zXkgxc0XqFktpfcmxIMgMtgLq7r1pV9byX+3Z3XbWRoWdsWnickkhOMY6liPiQbhsXqjs4HIxs5lCF82py6/c1lpT7Oq4KGVtgL4gxPoc9F4mtswmxRZIAWc2cLNzfd177Z9Aamjqtb6Bf+2VS13VI93HyrnaK9YxkcSrBdbfB//GN2GPIG1wGshb62B3XOsx48LCzq0/z1Ka1a7Wi0gEjG9xbCzgR+BHZ0k944sBC5VTEV7K7S/mdn/m5P0203es/vqvE1j/9w3/tjbOnpzhd7zkJ7jkrLh2zfemU2404E9siQ+3E1vDTNi6w4BtWDg9p4F5uJ2fKN6yX27FhFqMN1C3T7A2lQuoaZUF3HdoY0TkmUwtSi9PwiDxCmvkJQlL8ABQihDh09AgZ7L9pTY1HrKSsw+oaW6Sch6WEpiWwc9owR7VhTuv9kFsxcysABxQsA4XDBmBEhxbnBQUOqRVqU4/IueP0G04DqrOMTIitXgHvUFfcojnjtLZBOZsYK04q5NSkQ4c+7w4NBA1OGKnGwdkNjfounPsFzzTxBuk4OgLm3gCbDYSCRlFD5MiJ84w1gTLmmjnnmG8Uk2cltZ+xivJ+Ky9rkJPVJqdzyImtOw0Sjb5v6J6D0KD8YvQgVWBSya27DUBBHLwuldSKgnW36AxzT8YWaceTk3PW2KDrlVA1NtCv46KceinEoedtcvxlCTtpsmQskSb7Ja37l91ppiSPuSOaQpSGPYeiwmFknklR3j9LiepHbFhKDeVWW3fEs7XSafJYNCqBplfKaQEESiCfdAJsRsbywH4UsNZL++v4SQGE0zKYcmTiaVcLJSVyRD0Kfk37W86C73F+JoP/AQJ5bYz8sHePH/+izR/+tJTGR3SfT1m3jEBF2azl5w1ZhQw4J171kBU5/KyNS7nEk0ch2nB2zmC4HZDTlPfr2qOpkYZQEgQ5jFOT2kzehxNagdRKdXqQSQcLyJo7PaF3EXJ2VEotRKo+ZEOcYNa4X05GtwBOKEck2wTnHgCK4kzNNon7Kzo67IlIaLE3UNgY+Ugio8z5nOMnOMltv9Zl1KqrOq2oiLT0kI7e3nE+IbY4GYdSRDmDSRq1GysICwdzEMaB3HIi0nXQb9qf/fnfJBrv3uP79fG3f/vfXS4Bs2SpzM5+1EZHn3HZIfOxof6IZ7VAEJAuT7lWKvCGcOCIaC9HRNcSQECWtU8WwKWnpVNCD1EcI+NhpIIGAGgqqQV5EIIPlEqGjBzICxxFnEdINjK22gQc6uoGJEeyU1NTTuREOxUjvJHcQp7Qn8gJoIAR7RSnKOIw81reAzFMZnHM1qIfHn2rCgpqLTu7yYmtqmrp3aaTC+QIWT+QFlwfJEvMOoqZPxAkF2R/fK6c3A/zFeYs/PTfXfclGcY8l5APgA3X0acgcsik/ZTPQzgR8ZiVlPRYQX6Ffm/TmvXb5MSE222ILe4l9EfimPlA9KWCp0hIRKcuAoQIEpaOSGhFe8V7UsFABGDML/OOzYIsJJIaiK0D0s8T0kvD1tJ8XM49WW+3tf+e1xyir/GJPqV9CYmKzSdbm/IO2S6CWhqU9vFciIbTJ1SgYeaj8mNe9LI1srHor0WG1r59zbZrZ50TXJSq0zyeUz9xQHsp90j2N75GOCBBtkKfiyPK94WMMZoBy8/QvmT9FtYKnaj9HgbrFtYurNsv6T3BZvF5fpS6voc9A9CkTNKJrYHbi8QWoEH3G4mtSBzzmbEMElkJsnR3Auu1RiSQlxJbBPkAnk4ey/bvJ2A0+qR19xyVjA3b6AiZ+4fshPyNVJIUecL2xL2EPYr2iZ/+u0bcE7wuAvIQoKNkPjkhWyB2QPawtqZVdrzFe2XW1HLIwDmXL7dVUwE8sj7IVlwb5Ir7iL4yegT9w31+69v/JtF49x7fq8cbQWydO/dTwkofdb+lrOKgE1vNkuHunqvut49KfianX7FZwD++DOVg2h8EvxcCqt56I8gsPt9NyRNZK9gfJwEWxm+njNASIxA5SwMNPy+gGnw8CAF83kBsfcSJrRbZp/KqLgFviBrKEekZxSm+lM0nWUhJyVS0Tfh7jBiEiSMGYJ57LtitVCyQaq845GpoeNRa23otT/YqLavecgv6jFP5ndhql87rhcx/Nkkc+KSu6XPStfLVmbMEGzgu8KD3L3m5WwThMSAdbBQkn0bUfzyPXoQI81LxYMNDBUhIoiDrGx1NRhvN46uqZmS3emxfWq2tXZtpu3fmC4N26fpC0Ddk4LzafkW9g47B7qTiLexTzNqKAxIrdURCK1bK8J5gzxazddBnITgDqXFbeviKdM5p23/giHX1zlpD8wFheXopBfsxw/6jYoU9qHFYuItgBr4/JdT0NCOAQtYhWcokUbS1nfFDaErKxi07p9dKijkMjIww+V6y7UMj8ATYJkjIT4XSUQKLkCSaVy9Xd5u0SG6xvyPB5P4X+1sYJYxv615iuSgHyv26ywaJDiQ14LtwUBg9KCsrD1pTU5CxEd3jtK6djK1DB5JTewn8yLfxoJ3vD2QL348Ks0Vyy22VRiz5DVgqSRIgyxh8xeED8gVvw19I1ggchebxEFskCYQeW/Ak2GiqC4YG6aE5qdFjvfg8k+O6/gOO06OdQkbYL6xj9HdSyS0Gv6eOaL94fSSR7wzEHJUdmpK/MqJ5IljWLFmjN9yYcSAM9h1ia9KJrZixFYJ0btepmnKdFEhjlyfpo5/52T9JtN3rP76rxNYf/sFf+qlwk16GeNsVb17BgO1Ja/XSrZrawxLmM9ooZLiEKAMbNvS4+bw2yxJnKlEswWDjCKNUkjIuN9yvNSDAeO3XXZmzcfkcTheg1NF7FB0D0NDE7lO6ho8468wpRc1NR6yktNMqaxqtp29AAjsugzIjpQT4jgoZAA65ddUXm82DoxIBBD/5O5XUQvHi1ALiOSazpaXTcrIrLS2dEzv6zE+MdGKLUs2r1j/4pA2PonwD+Qf4RjEGR/cnfZ4A4U7SkIWEMoao0abxiANkFySWFCt/p0Z5ifQtkjictMBJHaEMsbFx3ooKWwXu6mUEOqWAAvlAfTz3T/Tgku79xg2Ovg79kFCyS4UmAgUcfxTu3QaKNA7+TiW1+JxIXCwVLuY0NgeHJGxpRiF2SSHOuaKEbR/sf1IO6YsSdilb0mSlEGODw+PHqf9O5u7UV32cwrGVswgBRhNdV8RTr9j4qIxQ/y1XdByAkJ7RYemZ7V7e4eCu8YScc05FFDAZkfMJkSTlTgmjO6AJKFnsjyYgfF5Czb6W8btCCQFsv5zsMCToOPIoSpwRDOQFORF6H9kP7N2jR78gg/EJm556yctnKUMsLBiVQzzoJVTImPdPGX5G6/phm8F4YxB0LSd1HU6GAjIFPDAG17xJZgDjKH0iGt5HgEgHIwHhdwxXwpBavy1FLMdHThKghshFcHow6F/1uUapIWeTXC8OT8u81dZ2a53IrKBH0GLWFrIS68OjEcfRYQ9Egit1X/A/XsNrARvByYFADv21Ojv6rCi/RfPTbWWV9M8LBzRQijjsWZGkOSfEsesfepfE8p8kG1JrER0blPCf/dlfJxrv3uP79fG3f/vf5PxL/0mfQgpMT3PE8213qorduaJc7EKSTYMcvehlXn4imQOHQNqwT0JGC0GEsEfCPgn9bnCgvIRVYDxEEQERMQATsrTcydLr/b3SAfGkRsggghdexuXXGdL4x8aec8e4re2Y5L1X+qfPe2BxqhoRa+wMZRnIArKEQ5xKcC0dyBqviZlavJfPoLfW+PiEgEC/5KbF0tMrLCOjQbac0t4D7sRATITT9Z7x4BAEIY4XUVquGYce0iBmboVSOvQfAZeQAcQ9Lx08D4FCoAadyTwQ0KG0gYgw5M+oN0i/avV1h2VLWy0/t1SApk1zM3AHsQXRFyPezAP3jN5Ah0R9kkpsYYei3YLAiiRXaiCG/8XXM7BZfA6f9+KLL9lzzz7v4OvWrUC2sxaUlHA9s7Nz1tM9ZtWVg9ZQd8j7XUEwkblESR4ZeZBUThJityCapJvYcziHDH7HdjPPzDf9xngfewM/BkKEzKyCgkHbtrXadu6o1Rx1WlnpmBNbzc0ntb8v6jpkK51UC6cjelYiGeJHAnnCnKPHgz4MvkQIzixZv2TfMyAtYyaUO+QnyYSCPP6Yl9Rhnzg5yfePrsGJLYCR7sFLEY+RvS8fUN8VZYvPXZAnjWiH7kZg3W3wWuQuAPRwGAE+ZSBNQw8c9IGThHOyrZMvWVf3GWtqHpatCJn78/NH5DfcWRbEGuObsJfifrrb4H+8jtezBxf3RDg6nV5eHR3dmhf5gznN3uS/VnuDdfQeZALiMaMvnnwH0Rn0D+Q6wctFAB7A3TftW9+6R2x9rx9vBLF15swXPZOks/uyFZfMWHnFfsdX6D/0BqQ4vswMPV4Pfl77+CeSDH3JrjAApVaxbQnyek1YyvurCkuFVhSyTxAB+H+SkXDYVLRP39R+DcQN78VvDLL9s95nCByB30y2DlhlfOJD1j9wwzO2yiu7rLqmRbLUayNjY5IjTpun/YRsVErAIfp7yAf+HCMGYfjJ4Dn+H329SGoB4mM5LwEeSLT6hnbbl1Fue9PrLV8YlP7ODQ2cSHtec3ZduIbegi/J7n9MMvVpXTsldD+he/kp6SthA2Eq95N1n6GqI/jrjkVd54UBML8sH9pJFZ6TPrnsiQScCBgyjMFqlFdD8sxOf9SDQBx40tR0wiorpiw3t9327q2yLVvypKMrZA969ZqQcRwwF/MUMnCiTxyJv9TATKrNgqyCtIoDEit1pBJavD5isGjLIrHB9zDnNPtnrvHR5w7OW9/wrNU0jltr+6lAvA89LaykPai1n6GvkvbBAUiumY/bft3z7NTL/j8Ieuaevlr4V01Nx62iasayvQek9F/phHwN2oWc9b09MES/aQLQodwxJimw59B/i0kwshOXpf+uBK4gkiVOcDmBq70NicvehiPQ8/hcyANry1pj68g4p7yyoYG1OeCJC1wH5B2ZdlTJHORAN9le1tUPB/OsyEXieAFLeaIA/bYgtyKOWmKbSBzg8AGyycBdyKGul6w/khr43EiOnjghfKrvxQ/EFgwPcYLvftnRPvlhvTY6NiqfYb/s5xG3K1G22DPID3gJO4Sfwr6JwRd+XzpY+1TcjXzCd4QTfOclx5PSO7Sn6JF8NRinjnobnAaILTK2bnsp4sx04C5CxVlILEFveLUU5Bbyggxd+7p99Wf+ONF2r//4rhJbf/AHf5mQAS94SRjZEZm53bZ7X7PRcBtiq5kUeCdubtuwBGFSr4dYSSUecISJhtOYLZxkJ0XhSoUyu8iap0YKU8dvOGuLsmGTc2oCE8jmOCNjQh8vnG3ANt/p2VrasDhclE6S9VNc0mUl5bXW3tltQ8PDusZJbRgU8kG9l1MSiYiHzC1IFhQsGyiSXNFxSSW1ULyUinDyDVlQtbVNlp5WZmnp2hR5A05sUYrI/HR0XZYzdTOJxCQ1xklTcie3NE9ewyzhBohD0iySXIyvLgwEL0R4+T+v+2kXSFJv2Ww4kpSQQMoQ5a2pmbW8vAarKG+Q4iFyMOzEFs3jjyEwZ05qPRb7bKFk2fwIAcKA0CAsqQRX6kgFAxFAMPib//Me3p9KXkSHMAhXMGaxnp6MurbWXoHRDoG8mQWHvbfnCSnQZ21MwhV7lR08JIPvJWfUfweCi/njJ2RhNM5zmmsyrybGpIjJ1urWvmg8YTm5/bZrd6MAXmtCbO13MpLTMzzyLeU+MSZjSYozNeGaWxxlj37TLwXCVkJNn69APEqwPbtOexuQ4GCBwXMaAhBkDvFaP+xAQDoc6f4ZgWzJmRR+jxydavp+ZfcLxHBM8EEvM4nE1hjHrcrIzGEQIG70GZSxEqFALjyN9xolDFEh49QAupMIBwRXQnLFEaN5ntL7RDi1EbIZuSTDyUsmZShCue9P+bx6qRfE1hAnOHLMe6e1tnR4NkjYX3cC8ghCo7ODYo6RPAa/81x0dFIJT2SNE9FGR8esrrbNsjMbLN/LfccTYousyJDRNjau+UnSZWPWViC3iNyR0af51xotEFwyhH96j9j6vn9AbCGbnrFLhsYYR05fc2K4WLYKgsszWhxUEoR5IQRhIBsELD3AcDxG7QLod3mGLAY8CFwGJ2cxe+Lug8ziO/tIYasIRHjGI2ROkq2FTqEXEk5Wr2xoS8sRKy/vtabGnqCn5dTH7OJ4SiKEDnIBaYVMxYF9YsS/o61C/nhvyCKZ0ecSlevQ99Tant3FlilZKiwadFLfsx9d99HPL5AjZG0xn5CFTm5h03FCT72aIFkY0kU+pOcgMnzIWQzPYbdDX61I5kAuQoKMSL/hHFdUTFtGeq0TWy0trbqWwTuILe6He4u2GkcNvYEOiWQ5zlyqvUq1Uzj8jNgEPHXE10dS60Mfks16Xjbr6ZCtdeNGyNbi+7kOQN309Iz3UKmspBn/tK759MJei+QWJCGlZ2Q5cQhKJLh8aN/Oyw/w8g7tR8hEsgBGR57xSDh2vLmFE6ZmLDOjzTZuLLatW8rvILY4ndr7bHUJPPTf1Pue1ve+4A4zbQmYYyfUtPecnJTPcGc5ZEJw4ZthqyBVnFih1UEEvmRBJ73hJGeQx5StNmjflJZMuk3lVE2IrUnK+GWnF0FDOBWRPcHn4/zi30VZciD+KtAQsiHvAA5JdiQ2DKDuMrcgbyGLP0TDIU0F0A/TnPfj3ii4p/eK9AB9RMY0vzO6tkO+n6KNQn4gt+J+in5QJLni4Lloq5b6MHweZYijI6PW0txqBfnVlp1db2Vlk+5bEFCLTf6jbEHshnXBp4gyRXuBBCgk5BY+8m99618lGu/e43v1+NwbQGydOv0FG5943knhgsIJK68Ivq73ySOo6sTWR2SjPi5f9zN28PA/sHn5MsfBUpJD2k/gl3n2kXxNyJlrwlIQXNev/obdkP/GcKIr+T0O/s9rCTQgi+hn9hwBYQ4HOi5/+rB8ayoDKO+jzK+377qudV64psvKKhrl83XL9xuWHIGlCGTS2iTYKLL0kQl8OHw+ZAS5iskCjPg3/+N16FRkKJJakMNgq7GxMSfRyioabMeeYtuTVpcQW/jqx7y0l8C3z5kwD1klPmf7PyMdhW6lP1QA4B70huCSHxhtU9B59IwMes8rYVJ/B7BLN5JE4GREzKqVvqbP7PTkyzYq+90tjEdWeLn0cXZWs+3eXWZ79hRJPzfIp++3cd0HPcnAXAvZbZoj5gDMFW0XdgesBRmFPQJLQVJBVsWADCNmG8cRCS0qZ5aSWjGpIOqt27dDdqnbsFMn7ID04ODotNU0DFl94yG3XZBbHBbnmXBjL9rUxIc8w2man9Ltk3qO+eY1BAuprCFruK7+kBUWD9nevS2aB+2V0gn57If8f5z4SYbikGdtyR4Kp0auAAyHTfIACHZCPtP5i9KB0uehP9oiwXWdDEXZjsW9/Zu6n1/3RAJei58B34DvT7lv38BN+TeHZZ9DRQ5EKNjOTw+W33FA1wAOxx9ZKNdn7RPiOJXcCoRxCGgu9LRbMp7iebLKIJWpSNP1cW3IG5+LHSSIir9J2yASgZB12lG0th222ro+2fsuyVeShDJ/2E6eQLYWkwQihoqEKHYp+CuLgZf4k//zOl6PbUMmo7wRnONQnvHxMfl9g/KX2+UTUnXWJXw1Y/R3Zj8M0LuTfSCbPkcrHM0XsuW+4EkqmOTf4kckNovMtK989Z8l2u71H99dYuv3/6VvaNLQOjsuSalN2960Vtu1rzEQW16KeEaK56px8l8gtogywOp9OiFtws2fOLHImp91RzekhF6QUg4ZFNqUUravHjwvhyVxsGAGUeoQA0TloqLxtFBN+JSEBdAy5On7KBsErcPyC8utUY5GX1+fFmhUSpNSD6J2RBsiuRWAA4oZpzk6znEToLQhtSJQwIEhAt7d3WMV5TUS5hLbt6/OCROygWhsTRSmveOicSJEn5xAyInRsQ/JqfmYnJpP6TNktGREDs//uOYqadDnJI2GBJ0BGGI4iZUQWTinvBaF4GnDcuBonMhJKpR04BBTOlpWPmZZ2TW6vjqt4auJrWCMFssRMTpR0UanDgEBKESCK3UAHlCeERAw+DsSWq9FaqHQcSSZa+aVyAFE4eTElLW39VlhYZuc5VEnLlpazlpX5zWt3ZOaP/pMQV5g8D8d5g6jP/9Fn78jRwBLX/TnABCAxxnNNVmHNKFHQMnwqao6YOnp7bZjR61+tuj7BmUsKaeQ89l6Tt932fp6n5DRes4mxmUsiQS5Eib6Tc+ZpPm/jOWZU2TOhey682cxhJTIUkbKzwTYMdxAwtaj2Igoh1IJzzCRkzuiPcuakb6bkd4ViK2kf0ogtgRWJI9TcoZn9Z6DABUiUpA2LlcJuSV5cUc4ifJCVIVTNYnYBZIrEl3h92/78/w/kFoCCnKikUkIIJwAHAKcA/Yc9fb75z5uE1Mv2oAr4xMyGl1WX9ckB2NQzk4Aoak9gqKzg1KNDk5Uzgz2XIwkREcHWUTeyP4ie6Wvt99Kimosc1+95edJ5ioBC/P6/pgV+XQiWzg2mp+DAHHpH12zk+s4Ngm5dU7rEwmuP/3T/5RovHuP79fH3/zNf9V6f1Lr/nEHjINDtyVLZ6y0dFKyPerEVgCV1x14QzZMQ5CT/Sm9iYPhpcYJuEwF+36ipuwQI5QmhiAMJFfq8ECM5GZpyZ2DhjP/UPYqBGE8i0TySwCCzBac8q7uS7JV+620WHJU3270QqSfHGXj2BkAc5Ql9CUjkjvIShz8HQECUT5AArbqoD4DucT+NTQ0Wm5Ose3aWWyZGa1WVDDsfciIzkGOkPUDOQIBSK8tMocA4CFzK2RCYtODbeKkpK9ITgEMZBnHTOOUQXaxZxiH48KDUxdKxCF4KOfgOwbkgHJkenHRkKWlVVlRUZn+btd63UlscU9LdUokI9AlkdxiYHtSbVQksJaOaLsiCIhO4QsvpDqEkBhk5lzWvSRZcHIK6VnWI6ewrKzdSkqGrbERwHXGnX3ILcgfiCbWGqKJuaTXJv1ZIJw4bhxCi71LeRK2gFI+bDjv57SturqDmo8BrVm1rV2bZ5s3l1pWZruVyg+rAuQ1HHWQ54QaezyFUKMtQWwGHEjckKHI+kFQkn3M+rE+cc+HIT2pv8MeDq0OeB/7N/awo0yhomLWiRsIPc+u1ndz/dPyBZEvXs++90CQviPKFHISenu9mijGJjECyfU74bh3jcVSqvA63hsi9ZRTBXlDfrk3suIg4GI2IAdH1NRMWlPTsK5xUvK/X/t53tcx7idkaCnBlTqwU4wIznk9chj2Q+hhNzk5KTkbsOqqBq1RmWVncyKi/EHXQeH0SmSLcjPmCLKTYBFziz8LMRfXwolAgmUJyPpHv/WXica79/hePd4IYuvEic+FTJLGE+FEbu2PZsqYBf6ptBiR30mQjtYKZG3Nye88RAAcLCU55Ptin1fvyaa9T7lcqA74tUByXZGtetWQX0hCwUWyZ0Nv3qCXCbpw0ilBF7JIPiv7xMEVH3bMQpZLU9NhKyntsqLiOv3e4Xt8dHRUcjTlehDdjL+GPGCDojwx0NMx+IJ/x+B3/sfrYmZxKrbCXhHUoBw9N7/Ctm4vtL3CVxBbtOjwVi+cyt91xfr7bjlZgY4lucKDmxCCHvzGB4yBb9mrk6Gygyb5wWbdJTijEapjeM1XXUeCv0ILgc+7LZzR2kzo+4ZkvztkNyFwSouHZFMbbMfOAl1roXRzk/Rxn65rVPcUiC16JmG/sdUx2IuNgXzA5oC1sEPRZkFSQVYtbf3CgMxaSmhBhkUcFvEXNhFMF+zYDZ9z5vvosaM2d/CADY5OWVVDn1XWUH10yueUEs/+/ttuu2gMPz76nI0LQ4GjRoaflV1+yl/ToT0LD8CpyuWVU8KbnbZzV530XpeXyhNcxCaCbbp6rjjRxKm5HDZHOaP3DKa1ygK5JXvE/pbP4ATXhVAyT5AxZthBFF1LGTx3WTKAzWJNCWyA02ZnX/HSw7Ly/dozc96vmMSG4cGnnLCbQf8KI1LV4xVmYDqt97kLZI1BqgXfD+LMyTTZG88Ug9yCvNLwRIFkxPLI2xBgEGH4hPIZqdaJmfvOW+g+8aM8W122H0wb+tgdteraAemFIF9UmAXimEz1Ow+8Yy2xRewd1jZ1xGQBRsRX7DN8GHqrXbxIIIayebDVtI2MDMl/4DChekvLqLc8L/flQCEOaLgo+boZsDAVTNILIThHVV4IyEBIeuaW7s99h4u/ZF/+yh8l2u71H99VYuv3f+8vtImf0+a+7pu9oHDYdu1p0KjXBAxbDSdNuTMjxdIvxeI3DunwUTlSpNDSdPsfaAFDGi0KmWhDaJQuZwkgnqSwBZLrtUbI0uL1vC9ku/xDj17AehKJ5HQGThGhMR0lfzQ0pZFrXe2cDEebZeYUWG19gzZ5t65TjvIkpR6AhhBtoI6VFNEIGBgRQDBQAgAFFC8KHAeGiMLQ0LCUfKsVFlTI6Sz00zBIwyxGoD2SSrosDudl6+69YZzgMSzFQK8kGl2TueUKWCAccooMJMA4g01zx5BSZSAQRE0BY5RcYYRIv2XOOQFifPx5OdNPWHPrcSss7rWMzEqP0Hd0dDqxBVg6dPCQPjMQW9zbYp+xxSb6UUCWMsIoytSxlPDib5Qz/1sECHeWmWHYUOzMcyzrZE45Sai9jf4qTRr9vse8lr4NcvAJCf/TRpNwGO7Q2B1y8LPO+h88RMYGe0FgScqS+nAytTj9gqxD0mvdQDefkIEet1276m3rtgpLS2+yfH0XmQL1dfPW2nzaOjsuuAMae215SaK+z8EI0faE3ApH4UKaaG87ySWAJ4OJsQwjgj2AH6WH/1CvJ907KDayIOgBEo4MvikjfsJyc/sF7Nq1p0YWGgNz3U5sAY6ofZcy5MScee0L5OCknHnILS/3lcxAbtG1ybNdAAD/9ElEQVSLjgajV68BugOAoFFmaJZJlDxEykPUPIJzMrV+wwllgAKReu6D+6MmHOXP/QPAxiekGzxF/YT2V4/mr1aGrtedndnZcLIbsoLcsM6pwCGV4GK/BaUb0tHZF9HRCdlaByWvE9JBrZabXWoZe+usILfXeyfV12q9BIaDQ3hLBvhF7Y1X7iTXPRsnpDo7ueUOzSJw+JM/+atE4917fL8+ILYo3yKLhGwt5AVSnExMt1XSxeEQhmtO2gB0CQB4idiB4NiQWRIBv2fHSm4XMidkqEP2ZXB0AOWpI2ZoMbzkjiBMIjux/JDszKC3cWYoPda1yll0W9V5XrK+3wrz262yotk6u3ol78O6lzHdU+hbFzO30JfIBmA82qo4eC4GX5A9SGFAAvJINmVHR4dVVlZZ2r48276t0DLSm6VnBvUcQGHe7bz3NZStQvdRkkgvPbJvIClImw9liWGukKtIcjECgYwupHEvWZLJ0O+AAxxHXk8wis+B0CGTCYBAOUODriEvr8v27i2zoqJSa2trdzKOAFIsccZWcI+Apwiaot2CfMDOYLOWElyexSX7BNEVR2oQhv/H1/NegjBPP0O5DPqJzO2YRXpB9xcCMczrmPQdpQNlpS3eX6UmKetELzGX7DnAKoQPmeSUcNBfCcKJeydyzfxCcpCpxf6F+OCAE96PD0HvlrzcLtu6pdBWr063LVuKPSBTXDgS1k52q1n7m4w3vo+MO5rIA/QgtwKACD4Z8x7tV1w7gAAEJU63k5T4aMmg7BTdyWvZvzErnL0BmQV5XFY27cRayJ6QHta+Rr68FFKvZ7+8itwCNCA/HhGP9ulOkgv75OMWJfWxlCqSWqFHEDKHbMbME2xsKKdKCGTNcehTdlkga0pyNqjfRzU3U9pTc76nkBdkhz3FGsc9hV2KI9orRmqWSbRTcT+EHnb0gay09Ixqy87llGx9b91hzRetFcLJmZ69D2ksvzX2+qNpNzLi4E7z7uAuRQd985v/MtF49x7fq8cbQWwdO/4Zl1HIzrz8ESstmxCOoBQ8lMvj63HSXyBpFn0ZgtiQW7SgiP1VfX/I1pBdROYR5XPe9kJg31tj3DF+xUkwKgfYW1z3KelnMv+PSp8fkl7AvyMwOKXvHqV1B4GXrouyp3OypfRXrpGtaNZz3drHQ9rDIWuLLCvkAN2MLEUshS8XiS4G8sXgd57ndak2i88hkDk6Mmy9wmvV1bWWnlYknZdvu3fXyT70O1FMj9wm+eqc5EsQemjgKV3vC5LrD8kHlF6V/7+fwIHm7bDLVkgc8PJE9B2VMW6rgn2iobfrPg23/8nP0P9QNktYk5NgKUGkNI9gDDqWagH6a1XX7Lei4n7bl15jW7Zm2569eXquwX1iiC0vK3PMFQJU3Dt6JgZmIua6G7lF8AXCCuLqtcZrVcpEUotT79FhlKCxLgs2bG7OBkcmrbax1wpKe4STKZk+r/W96pi1V7aLnpHDQ0/ZyMCzNqwx2P+09ulN65S+b247Zw1NJ9zHKioe1n032fbt4OAuKykesSrZJ7LZWuVb0GsLoqnfbQT6j4zicKAaeBac6+SWB1sg+PHBKM+G4CLDjlL2kBXkPae1lxnoRv7ve1prif7Hz5qe+bBnipWUTlt5xawTNQRjaHQPt+EN0f37k77gslH+3X7yfcguRpauy05dv/rrduNakikmO/WEcFQo+5Vt8pM1v63fNbxE8huyERw8IPsGFuP64C+0nyBI8Z0WstX1/RxU1ic5a207ZZXVwxptshN92l8j2mcQx3evgIk26W7Bl/j3nfjquu4JUvO8riMczjA1NSEZ79P6NchelWn/1ls+7Sm8jx2Z4IlOGnpGvslLej0VTCFxwKvydC/cE4dOUMEUSOGfty9/+Q8Tbff6j+8qsfV7v/tnboBRamSO5EihbN9d66Mgn4jUfmuVMxUbztKUe3T0pYR0wJH6lPcCOjj/455GC7l1XMoEUsqBOEpEG4jNCGn1msMVMBlaAIRAaJGpQo8hhMGPHN3/MZsUqMFZGJAD2SXnoaXlpDuEObnNtictW5ulRkqww/r6Ad8QPAm5dRDnBqV83IUdIM7gdwYKF4UdgQKbASebiEJPT682RL3l5pTYtq25tmNHpWVkdjoJSFShVo56U9NJj9RRktijDTIwKAUhBUxEJhouSCmMFwIeSBqIrs8vDCKt3Cs/AWFkZ5HtxQYjOgFJhrNMedjICE7xVQnxYW3QDjnAZVZeVuMgwcs6JCgHDhz0e4mGCEWHsYF0eDUbHFLyX2ssBRAoZp7jf5E5dpCwwBovntTFd0enkIj8qAS5taXTcnPrtW7dVlGRlHQ2n9XaXbXevls2yD4be8EZf0hUFAPzR28lHzJo09MftUkILTn2gEeUMuCCo2jpdUEftC3bKmzzlhLbl9YgY9ktYDJuNdUCwA0SZq0X6cVBoKk3f9FP0ZjlpBoBhINyRD3LA0dDynjBYB6XwfSoEAYzDsAez1EmCTkUsspYV9JgidCPCST09FxxIis9vc3S0toEyjlp87ATWxiDAckiNe0e6dA9Y7Q5rfEI0SgAZewjgAGQIvVyX5TqlQC8AQELw7NOGPwucCAFTKovkW+iFJDJAZiHFGxObgyZkQKjAgvUyJNSTHlHc/NRzV2PAE6lHLPQxw1nByc/OjsoZBwY1nwpwcWI0buljg57NBDIg5Llakvfl29pu2usILvXKgSm6msEFiRfITtCzs0gewNyK+ggrhXQsFCG405NXB8cmq/an/zJf0w03r3H9+vjb/7mvzgBQ4YRNosTEMlkyc3tE3CQka4mWheaoyPTlP9BpngGjYAlJVOLJYkB7Huj9ARcYqhjFmYqybU4cK4EGPT/SAbzXuQ/ZBUTkAg9lCDSIpkD4IaEa8Uxrp7xRtMlJXVyJojY9bssEbWLRHHU2chGtFXICoO/U+0Usgephfxgq/r7+yWrzVZcXCqAkCWgkCs90yhbPujAuzohZLBVIVh10/XmuAPwQAIGciuUJYYyun8QdKB0QyBKILvC8DmUzuP+fehvd+gSci/0w3zF6AfpAEHfWVO937KzWmzP7kLLzy/RmrW6jaUMmTmIDh73is1Cl+DkRUcvOnnYLcbdAjOptio1ABNtVgABodQsOIU35ajekN4MhDtzzhyTBYeeI0u1paVDoI9+Su1WUS6QID3Oia0QP5BN+CMQVYBEyC32KSQWpBMj2Knn/X/sX4Ic7FUv75C9Ins5I73JNm7MtpUrdutnvu3b1yS71SfbrrWLUXGtXdjjlJIk9kLfA4FChiJOPPYLcEbmAc41wYq4doGcZM0Ac3GETAVei+/BHiArkv0BWVNYNOK+TszYIsBAWSn3yPqS3cV+YY/w+R4Rl/OLrCA3EFNkQgbbhE0iGxKC69WZXKHUN2RH8lrAO/LHZzmJLH0OaOWAE76TPnrML3OB7a+qmrTKyh4BrEHtuTtJY/YUdip1X2GXGBBZqX/jK7EXAKi8z7NM5L8gq32Ss/q6RsvKIoO/Wn5Ml5ea4UOTwR9LfZzk1LqjC5gj5jYSjrHnDHMVwF0gML7xjT9PNN69x/fq8UYQW4ePfNz7glZWCVflDlhRCY2aabJNRl/SZ4uMSwga+TGeKCB/H/9rHhslAA4ZBRENjiJwSnaR9yeS/aEnlNuqC/IDyUxnYL/IVj+bHDaFX+cBF3w7YSkyiSnll34gU4yeVUODBIOvyyaccVI4L69J11vuILi9PQQdIHLphRWz9KN+jrYpBmHw6+JAxvjJ/3gt70nFVgQyB/r7rK21Rbqv3HbvyrWNG7Jt544qy8np8cA0h5eR8QYJ4yXYvTdthKx96dExyfzkzMue7DCb4NBD2CsSLWLSAJgUW5/Y++AX3jnQJSGgi836vHTFZzzDmEwfMmL7B285cdLUfNwrCHLzumzbjhJbu26vbGy2Y8Pe3h69NgR7mZ/oD6M/8HnRLdgt8FEMymCTYsJADMBEguu1RszSiskFEYth08Bf2DK+iyQG+tYelQ2bw4ZJB/YNjAqrdltOfqtnXUEAkZDRJr8a3EpFRE/fdd3LTe0Hje4bwT61n7U63Xu17AAnuJOltW17lW3bpnXK6rQS4eBK2adacJXsU0vrae3xJGlgIEkakK/uWVPCtPgUx2QnQuaW9J/0uftg0oGR5PLWDhBd2ucQtKG9S8gqRl/ia+BjwAtMTr7o/gyn39MeiCAR60VwE8xFRVrof8nhLpxcHIg1712ckFuXLv2iXRUm8iwx4Siyt+iZRaaw26rriwkDnjRAkAZsRbBT74OIQy6DP8h+otIq+kCfdA5gZOR5ydItJ0jLK4espKxJ89TlvgU9vGNQ724BGNYUzA7JFYmu+DvPMxYDMYHUOnVS63/0uPbkfsnLkNayQ35npe3aRVZk7UK5L1n8Mct4gKSc4eeSiilwcArZntgsevTFNfupn/q9RNu9/uO7Smz97u/+qZyUJ9y5wjBn5nTb1p1VPvJye62yfNqaGo57GmZPN5Hw2zakGx+VsZ4UYJgm5V43f+DQ5z2NluwSQDik1LHEeQqRB6K5pHtq4TUoe0JZk5nFz1ByGE65Oar38zmU7pHhBBkEyJ+EHBh/3gYBChJA0h5JjSwtGbf0jFrbtS/DKqqqtEitcjI7tUh9Mhz025rQ+wO5RS0rDgoDxzX+HkECAycIBYVDS/YTZFFZaYWczjzbtDHTtm4rtbT0Nm+yXyoHF7AAMQOoatU8dcrB7cHBlQKm2TUgnOytQHBhwD7hZBWkIIP7YxApR1D5yfMzkDczlN2QOSMlO/4hzbsc47FndG9PSHjPWWXNlGXnNmujFltpaZW1trTqf6Q3hrIO7of7xLAgLKmKNgpIJLhQjK83nnv+OXv+heftWf18Rn8znk4AAp+FgF2/vlhmhnJHyTO/ADAHCf0D1tLULqewxjIptShlDjFgmr+2i1q76368r/ebInMLAyZBm8IBIDtrEkLrZYGxl7wGnF4WgxJIHH3Sa3G+yyunvWH8pi0ltmFToe3eWyOF3GHFRcMeXSALqMWj3zKYC466wAg1xgmZRsaFE5GkiMvZgOQi2466YzIUIa8WSkoBejKiAAgMq5dJytCiTGfl+E+wb2UgiWYQfd+zp0kOMX2/OKABZ5jI/2WPnAzGrC1dQzDYn5dDIkMNYSMZCb3sZACSCMcCCE8ieD6u/KqDCT/A4YpAuf7nwPwSpXmU6MlQODhHFknBlrySYSHF75mRkjcch/5BIjYXtTbzVlTU7kC0tTWU+5K1FZ2dqJBxdCJwYP2XRu94Pjo67AsHC9oXgPLubtKaywR4c2yf9E9+do+VU7/vRORxfS+A7poAA6nTRBaCwYSI9Bp6gJz0xSIRGdYGI/Yv/sV/SDTevcf36+Ov//q/SB88K538tANu9G2ZdEd2dqdlydnCfjlpIx0MaUO0HOCdStjgtOJYhVK7APIpHyTjKBJcAWAmw8muxd5RDJwrXhvkJkTmcGL4XAihcJoQPZQIQDzj10qqt6fxV0xI79VbYUGlNTW1SYd3W7/09bCAAzIAQYX9iXqbASCIg7+RNV7DwBkCuPPemK1VU1Mj210gxzPdNqzPtL3Sffl5nK435o5Mbf1hn7uY+UP2DeQbWURkGgVyJJD73A/OKCnp9BzxwfxBdumeuW9OPFwYyTzM6/U4dPSSYv7J7oHwaWs9axUVk7KlDbZjR65AVJFsZ4PPg0cuOYVL+iDqk6hLsCep5BY2K0YrY3AG+wTJxcDRx+GPZFcMxPA6Xh8JLT4LWxhJ9wsXQ0Ycuok1oJRtbEy6qadHDmCT5ebiBzTIQRyVHp/RXB/wdcXmUOIZSVXuFbsE+TOqPctgL0BosR8oJaQclIa7vJ/Pys/tErirtHXrMuzxx3fa2rVZAk712t/dVlKktfMA0HyIisv3odcVn8X3ML++1z1TjB40CUEp++GELoRKsm7YKN/70o2+dyG0knXzHmCAOu0BQB0AnD2Dr1NRNeukTbSXfO8CcSx7EfpTkuUnnSu5IBofIvHBRsUeKp75mBKE8ZPJkt/j8P9rYMs8Up/IXwA1gYQDNByEOJ1+Odlf2NezmssxKy/v0Jr0SbZG3BeKhCn2BtvDvgJ0381G8RNQEW0V+xC5O6z3z0jWRj1bSz5hWaVsFRkm5fLBpH/Kp7QfFnuhsb5OPGrdJ6ULYuZoyKYjcyGsAyDNAZ7u7Yzs8W/+5t//CPV7j/81jzeC2Dpw8GUH2GXls5aV02sF8j0hiVv9sKQrwgfyOaUXxuVv0ucqtN4IrUso24LcIsPqOMQLfp+TADHL5WfsnBMBVAxgkxj6XXjKs5JOCW8JgGLf6PeIfHuQVfYP/EFFAHiCYAOZUNgnSPOysuHgl2cXS+5rJUMt0mld2seDkqNxtzXoZ3QjsoRNQlfGIEwc+IEMfuc1vJb34Cti48AB2Kuurk6rr5O9yiu0bVvTpfvSbcc2yVNWpxWXjFhldZKp2nTKOoUNeuX/DbruoapDOm9S2EDy7xVE+OsHNX+6x1AdExMFYnAmhexyXz346wwvmZdccrKtl4trfiYg/RxrXhOuowzvsJVqfjKzmm3tukxbvnyrZD9TMl8rPdmt+6H9zeJhMNw/OgZ9gn0Bb2Fznn12MRiTGnxJJbn+rpGaeZxKamHT+I6rV68s2LCDupap6RnNFX3MCP61WUZWnRWWDFp17UGrbzyqvX3Syagu6faRpiO2v+6AHaqesf01szZSP2cd9Qespm7OMRWZ8Xv3NNrGTSW2ZUu5Zaa1WiH9povHrKpCa1V7WPvouNvDjo5wSA1Z4QTOZmQn6IUIvvB2B1oPtxXa3xCMIUEgBKJ9yMdyn0x7GpIWzoDX4HPFAPz+uY8JXz8jnXvS8gvGJGvT8gHpGXVRNuqG7O/TNumBhcUDyUKQTnKlz4GXOJuQxZBTniEWcVSKraIXMVUu4WewT14aCaYSlgr9Vcn8C6d2H5MvNH8EkhQs9THJDq2DnnYOBTkrKe2XPqiTPW33bL9QZTXlPl20UawhNigSXPgnMQATB3/jE/E/XnPxApibtScQw2FCh13W+vt75fM1yn8ptu3bc22PfMK8/D73meEuWC9vzeN9wpEtkkpCpl3AwPgPIcDpbV+SNfvJn/wnibZ7/cd3ldj6J//kT5wM4OZKBCLTszps844K27StzHIAC2WTrlhCyr2At5eKPWXDKBWihFIqMOb7uXnAvww27B7Agc2HUg3GO2zg1BEYc8qfkiwXV8CAa0gBlDBsZyS1PrJAahEFae++4CVd1VVzctr7bdeectu5Z5+Er9KVMY4HQHlwcEAO2qgWF9AwLcW63xUzGwgFFAECCheQwIjRbxRvb0+vFG+9FeQXSqAzbP36fbZpc6Ht2ddkOfm9ViywQMNXShLr6o9ZkzZIa/sFT9/s0SbhpEQIGkrrICvIxMGoQHDFwf2RUYBiRvj4G0UNEcbmIutrZPRFJ8lIX8Ygdvdc9ghCcemQFFWjFGyhFRdXCCw1S1AgHUL0m3sDJKDkoqJNTXOMLHAkuOLg77sNSjaeekaggJGAA05adOZYn0ca5JXLV+2S1/cupu8z5wguAtzT3WONDa3GiV370sguGNcc7veUbdKOYftxnvtoQojTPgIweE7r+KKNj76k8SEbG9F8DD3jhJYDhd7rnn3V3nZeiu2oR5hZI0itdRvybMcuAZLMFiso6PfoN+WPfuJKUkoC0CC64FFoMsUg06YR7BBJC+WQn9GeJNuOjDoZTJwPGcw4MKAYU4wqpaf0VyOjiCwTmk/6qSoClCUloURyz+5m7asRq4a4keGmTxuRs3CM/HO+512xSDlC8LohOBbkCAOA0j8nZwan/yJRjYTkCoNsE8YvhYb2DL2GiDCN8O/INnHnhyPogyL2RrxTL9uQ5r23/7q1dZ6zuoY5geVGy8rM17w1LDg7S8uoMOgoZaJ4UTHHwd/sQZwgXse+RAbZp+yLltZmGc4i27VDYHxHpeVz4krJmNZqzhokW83NZ6yj7bL2j4Bj/21fqwl6mEimvEGkZOcQEU+IQJyZRBHjuPzxH/+7ROPde3y/Pv76r/8v7ZOnPcWcslRAfkmR9J90iBPkZROJraInJA16Q7kU2UKQtCFqR0kiUUMytwI54yBfMuARXTk7lC6Ekq2vyLl69YAIQ2YY2Dg+h8+DWMUphmhF5snWoNeXk+3SMzU1c1ZURAkyjnyp5KjR2tradK2QW/0uSzghyAP2CJ0ZbRUj/k3WyH69JhJanK5I49revj7P1oIczs7OkeO516PKu3ZWWk5Ol/TssBy/EIhBR4YeUZec3OqTDg3kVhJIgAycpd3Ax5wgWSBJZI8hug5Jx+GcQoRDiPjvcn4YkIe8HnJsaipk2AHue6T/cOqKCgc1B7W2dWuG1i3XqgSg2js6pccDeOLeuN+oS9Ab2KxIbqWChDgiyZU6YrAmZmYxUt/DZ/B5V64Ee3Xh/AU7czZkxaGbWIPJiZCtRYl/TXWdZaTn2769VVZc0GdlpaNWUUEWXGjK7702CWzJnqDHQ/bWLSc3IFnJ4MFOQX7xGsgpTtmqrqbvGn1bmgTuCm3Nmn326KPbbfWqTDmhnMLc4tFVelzFtUstSSQwCWG2mCVGhlgguLBf7EmCNL52BxbXzglIfiZrx/qybrwPIobP5H6QKy/jr5x10AKhxr1hmyOZxlqHElYAS1K64GRNKEsMJHHM4Aqlvj5oFpyQWIslv5T6cmR66F8ZyORQ7htsVWhNgbxFAhm9wFyQwV9RMSYb26456pJMSK7kCyFX+HaRMGZvvVamCYPnop2KpBbvZ39CRDc2NmpOim3bthzbsbPCsgialYz64TShRJWeoSGrjnl0ey47FQljJ4uZe/nLQf+EjBLGr//6v0g03r3H9+rxuTeA2JqZfdFa284JV01ZRna35cr3JKsY2cV+oXOHpBexTx709rYl0rWJr+l+DFhK+92BODhK+4QgJNjptGwUmfbeS+pkHPqbrKRjsk9HyUICT9G+47PCUgTL8e0gtV50XELfqq5OMvJPBftU2GP79nFAVr5Ab5X2eZNjqZ6ecNgJ+x98hG7Ed8O3R1fi+zGQldQRCS3sFnYt2iyCogOyea0tzfLHiy0jI9M2bdplq1fvll2gL2SbFRYP6hqk8/DV6yRTTbLr7Zq3nhA48LI5cIHuZVz2irLvmf3YrDCHZJtAomCPuP9QIRP8dgLP4WeojvEsLQIxc8Jksy9LVl/SNT4rX/ymdfZcFK47Lt0LsdMjv73SVizfacseXS/clabrq3asCbE1PXVnSwH0S7Rd4C1sTrRNZG5BSqVmG0eS626D/zFSM48hyJ5N7BufDdmBr33q5Cnp9XnZUumssdDHrL2Dw5iahIvKLSu300orJ6yqdk5+1CFrqTtsU7JnT++psS9tzLavrdljX16Xbh/dXmAns+uttazXyksHLSunU+tTYWvX5NnmjSWWQUax9nYRGeEkKAiP18oHo7zN++J6oCfYign5FmQB05YlBFwSskR7FLJkMUkA3wp+IJUjWOQJ0P8xAD89I5wydNtqa49Ybt6wcxjY4g7KfTn5me8V9nZbKL+M0/68HRC4AL0LuSUZ8iDM2Z8VjgrlvqHfF4dPkRRAhcvioEomZO5H2xQrXjilHx4jJAgcPESVmeRNGJ4EDHqZdXZctvp6MqC7LCe3QvNEuS++D33BFzPWkZ2lOIp9ROBl6eB5AjTYLV5/4sRJzetR2Xuw1X7fl2RrsU8zMvJtq2zWrt1VlpvbI9s+6QcE0goo9qcNSSUc0kXykmRK80YijrcDStbMgzJahy9+8bcTbff6j+8qsfU7//iP5XSftUptSKJye9KabMOWYlu3qVAKrkWOOL1LDrgDFmtyndWTIzE6FhjzcKwnzB6bNaTSuqOL0yuwfOQo0SkAZshySR3OnENoaaMFBSwHS5sPxURvKogfyCBSdgflIFDr3C6nEAKJ6AfOREZmm23Zlmvbdu62krIyORZNcixa5Tx2yJHscaGGpEIp4+BAsKBgGfzO4HkHCRpsMJQ4ZR3tbe1ylCq0CXJtz550W7d2l61dn63vqrE0fS/lblwDzCdZR3UNx6xRADyQW1e8fplGepSYYcRGNGdjlCdo3sL4kDYPERs5k5rHyWl+FxjQ/9hYEGJssoHBZ/Q5T3pGDwChtf20jOSs5Rf22b70OjlX+VZQoHsXWOoWUAqlYiGbBkFJVbQICQIRQUJkgVOj13cb4TU37OYtjSdv2FNPXLOX9DmvCBC8LOF7QYJ1+8JFu3yBxsahWTzfi1HDGDKvzGmb1qayssZ27iyyPXs5pGDUyiqmNX8H3SkEBIZMKpob3tB7brkhg3gibXpwgPGUG+VeGTlSlDn4oENORGsTpan7pYB7bOeeOie11qzL8tTh9IxGAcoeAbzREP3W/gn7mkby4bsAojjJGMxRQIIbTIjIUA5JFh1EF80QUZLBaEJ4MUKmHf8n+haIyXCcO2UnKFuUfn7BkDe037lT15NLQ/vFOmeaHkLUjYw87fsjZo7xHYFIi4x5TONNMk2S6B0p6D6kcDmZkfRdogn+fyIfZErKETolBwhFzGcB7olWRVKLPjDsPVKwaRrZ2HzCKqunBI5pwp8rfUDJa5vmq9dlC7mKJCqODkoZQpP1h8hC2UZCi//hCOHs8HrAAjLHZ9XUVFtuTp7t2JZuu7aWWU56uxytIa3VtNXVYixPSa4lV51XpYAjufW0R4NCj6CXvSzFSUjWBQDuuugL9s//+T1i6/v9AbFFejl6oaUVOZ+VfRq0fXsbLE0OFnsFkhiCwU9ZRZ4TktjLmklJB1ge+ISAJSD8sw7qUwmuUKIYxkJ5XcrwaJy/LvRPcAcGp1hglb03MyMdLrmFjOe7OX2wk2yt+nkrL5+U/unyIERmZp70t4BDU5PLEsABwEwvp2inoo1KDbgw3FbpNbyO7BF0PRmUIVurVoC7wPbuTbONm7fbqlU75YgWWZrseoFsVUlJDMQc8JR9dF8gYmIgIWSYQHB5k17pr9gjyhui6x4ZTpYIQHhWl+QtEFn8T8BA+hJHEsKBz+Hz0H98T03Nfj8UYs+eKtu8Od0j3mXlVVozbPWQ1krASfeMzYglHegPnLbo3EWCKw5sEwEaAi+RtFoakGFg3+Lr+ekRzouXpCNxCBczcyKpNaV5HpZ+6xOw66qrs4a8fCvctseytxdaYVabFZHFVD7h2VaUvrvtkl9CiWycVwAsxCZkUCCzzvv/aMRLZLmm9qCTY7kCGjt3VdqmjVm2auVOe/jhzbZ8+R7bsqVUa9nopTnYLbKC+C6yvELJW1g7bAb7DbI/rl0sg8S/CGsYiMowPq45JiNP4M99LfbuR33dILWQGT6Te6KHXY6c4JLSMfkXR/WdApcJYeNZE+OcBkk5YkIaHyEj8sddVkLj+i8v2KdIcsUsrhB8iaW+Ias4EFohQ2uB0EoBDZHU4pq5P/YXpCE9Mz2rorRfALRFYKdN19qt+wgNelnPSG5FEA5xxbpjq+Lg70hoHUmCcrwPuaMnHqX4FfSwS8+xzVuybPuOcgEGfOUhly38UjIIwknPHCwAaYy/HLJH7ywXTUh26RIHC9IrX//1v/8R6vce/2sebwSxNTH1rO+DouJx+ejtlpHdJV035cAbUhs/3mXWyRl6RtGTNxAzXsHhviXlddiZEKRDrtgnEVi6L0iwMw5hquNHhLPmJSfej/az7pdC2mD7wBn4tSQIQKyhlzi4qVb+VXn5uOVkt8g3zZNfni15L5ePXOeJAux5fPdIboGZ8PmQixiEwZ8DazD4nef4HzaL10dsBRbDb/RsrfoaK8zPlY7bZxs2bLdly7foZ46wZ4Nly04UCVtxcEVN9SHP2m9vCYc+LeCCoac8AAs+ROfhB9LXkqbvHpTGJmGryOaSvMV5ZfA7mJW+hLwGG4eu9B6Io5SLk0RxzbNA6xsOae1GLDuzxbZtKbRlj2yxxx5abbt27LWqikrpng5hk2HJ92K5ZrRdqXgLDBWDMpBRBF2WElypI2Zl8TOV0OIU3+efe95P8n2KIA2laLJrfA/fiX47OHfApnU9w0PDWudu+c/Nwqo1tl1YcW+acFfJsJVWTFit1n0yu8M+sirT/vG7HrV/98Pvtb/5obfbf/qhd9pfvv0++9WH1tjlbTnWlFlv6Xrfxs3Ftnp1tm1cLz9jd73lZHZYQV6f9N+IlZcJx8kHI8BIex7PLJa/dgfBjx+m9eHQL+zPAuGoPe7VMOxf5wriCFwBz4N/QuZhII3AyZzmyWmI2TkDVigbSWuXdtngPvlew8JzY9of2An6yXm5L8kJ8BPIk+TnuPy6iKXOJskCZ8FNskFe2YI90uA0QA6kOifbxf+xaTFLy31D6W4nkvXZYCl8JLAUiRLIOdlabZK1GvmtebmcKFmia63XHOH/kbHOCaR3Zhen4qi/KwjDmvM67Nb8/BHZdPqDE4iZtIHBAWtta7GysjL5ytmyWdm2c3eV5qtb+2FCfmhIyqE3ZEhewm/GD3zOsxapipnhYDVhX7AVOiUGNH/8x7+VaLvXf3xXia3f/u1/pk14zErKJvxGd+6pt7WbCmzlOiJRNXK4et1xCyfXnZGxJsJLg/TbTtSEGnHILZo5h2jUolIO45AABMA5MOQpQxPD5PhG0OtcyWjjQSCg4Kk9H5cQoPjJYsEQkM1Dg2AIgnIcwrxub+a+Zr2cwO07rLCoWM5inYQ4kludATRIKQMAUKpEC1CwDH5n8DyDzYXSBSjwXiJzxcXFlpWVbbt27pVAb7eVq/ZJuEttlxzOjOxOy80fkPEiDXLGKqWAa7VJGptD5lZ7F7XL17w0kRMTI8FF8/s4ILvCeN7nk8HzRFRQ3H0C8D29N71ED7IMYq+h6aiVSCFl5XXa7r3Vtnlrtq6xwEkHAA69W8jawqhEkMCmR0AQhKUp+K83LsffL1+y65cv2LPnTtmnZqfsZ9o77OvVdfar1dX21dZm++TwmN2aP2ZnTggkSDBxIhFUjOEQxkxzWi9jWVhYJmADc9xg+QUjVlw64Vlb7hTK4afeHxCAc4iwAQ5QDD2aAzJ2+Mlz7EeytNq0N+nD1FB3xDOiKBXdtrPKVq/NtpWr02zTlgIZ61ovR/R+M0QXqg/4vmY/BdI2kFtE2enhRnbcQkRoQgZPAg5ZRdo4/c4gr9irKNhAevEcmXbat7D0Ugq8H4Xe08tR/6f8HrNz+mzbtmoNThUhHZSmzkR5KbXDCNDz60l9LyeQhqg7jkkgapKIuJwaHP2Y+RjTeL1xujdP/6qTWCheFHZI4SXqAUD4ab2fE6XC6TgesUL29D2kC5MFNTj4tHUTARcAq9GalJQOy3mvkAOSJX1AGVVTss9C/wWcftY5Eqnst1TwwIgZWhEoANp5HzJH+XBZWanL2bYt+2z7piJL39Nk+dI/lBqHtTqu7wU0CjBCRAIa5NwAGuix5r1M5JjMYjS1HugSJ7nmPm3/7J/9m0Tj3Xt8vz7+03/6z1r3i5KTM+44UVqXl9vtp8jt2lXj4NtT0Rsgx8PpcTGbhb0BYAe4Q76EDBbIz6TRNrZI4NLBgwOIpERBQGJh6HlAO0A0EMFykGXrAqEVSAG+B3IBghzCAceOI96xoZBw6en1tmlTmmQpW0CiQvquTv8PskTGFWXkyIPbKOlMRgQEcVC2iC0bkD7t7et1+0ZUnUzKktJSfXaGwPYOW71moy1fsVlAIdt2766RbHFYxUBSkiiwUHfIya1w0t5FBzlkFIXyNnotUAqOXEEKQpKELCAf05wi+3IyyDZ4WQ7Qh32OyeKBXBnFvglAkWHHXPA9ZfIzcmQzd+2qtI0bMmzLlj1WUFgi2SZy2eP3xf2iH5ZGvnHisFvYoUhqpY4YfInEVepYSNUnM+vCRf959uwF6UYIrVOup+bnIdulm6THJpl7oqgtzXa0qMCu7dtlz61fZreWfdDOrVxhM9tzrV7OaaXAAaWVlOuR9Q4RBGHlbQm0TwPJdcZ/R/9zqAk9YwC3kdQqKhywtLQG27G9VGAh25Yt22EPPLjJHn1sp61bl2s75YdlpLfKbvVr7QT0KmmqnKydPtszt8hwlo/hASDZLidS5NAHkotmy4HkioG0hXUTmPPftaa+dtL9EEU44kTb6SNGj6/MrDYP4IUTfM9qPcNJkKF5/Qu+J6L/B7mF44vMhGyk0MvOS36TQEw4tCGW/cZSX0YIwvCacMpoUk4FkazPQ04pj0WGIV0BStwz94+cVVVPWUFBl+Xk1Mhm4AMGG8Wx6hGQx72Fb4JN8oyT1J+yXWRoYcuwadgp9iR2jqBhQ2ODZxbv2ydwt3Gfbd1WaOkZzZ7V5ll1lPjE0nn5LiGrLpBb3stO88ych0h4yKSLeghf+Nd+7e9/0tS9x/+axxtBbI2M3ZacHrX8whFhBTJlWoQTkKEQfAmH4cg+SUdGPzP2lPXMrf2hTUmoEgD8sz/CHknFUUcOy24xDjFknw5+3jMz8Xu8AkSfx35Df/M9JAhQ9dIp+UaWsZcEegsL+rSnq3xP79yVLr1cZFVVVW5XIpZCltDR2CfkCf8NmYpBGPAGMsNPTlKkUob+QcgO7xscHHIshhy1SLdWlJcK4GfYzh27bM3azfbIo+tkt/YJe1ZaWmarsFW/9M649OSM1dYctgb5gK0twbbjn4KrwKKUT7m9EhjnEKlJJwqThAG3VxD7AaOGAEz01wnCYLuC7SYITVB5SPqPtenuvii9csyqa2Y0H722T1hzw7ose/iB9fbQB5fb9s07rLyk1No1PwOccKd7jcQENiUVb0W7hY2KlTIQXDGzGIIrltLHEUgs/eTv55635559zp59RuPpZ+2Zp56xp24/ZbefuOWk1tUrV2UjL9iJ4yfskPTbjNZlTPPe19OrOWvRWlZLLxbbxk2ZjplJyiiUT9KU22nXVqXbr//Y/fY3b3qr/c8feLPZm95k/6/G/3zzm+2v3vp2+/n7VtqsbFPG9nLbsD7XVun1a9dk287tlZ4xT0Z4vnBwsXCwJ3kk2AqbF5MUnNySbSJ7KZSwowNDybxn2MW9flB7nWxF3+dhr1Mh41Vc2tfe3kXrh80hS5nAYVnZjGxUr3T/sGeN0Re8R3tkUN85KgyNXYtN7D0p4Q5yKxDEZIp5hphn6yelkNgiHwRYftZOaZwUrjpJcoDwFq+PWcRHqdzRZwYsBan1EbeNZBaSPdbZfsGatH8rysYtO7PeMjM4UbPG5SASxxFLYaNSAzCR4Fo68I34Xyq+4rCU6WkwN9hqRPanW/aIk0YLJGdp8gfTQzAGQrKIpBz5gsiWZ9kFHEzy0tAg1VJaK9rzCP/OQAwm6xVt1ue/8I8Sbff6j+8qsfXtb/9TKY39uulBy8jqsB1ygNdsyLPHV2kCNnEqT5sTBTg0C9ktuvHQIP22nGwpEwHwkNmijSplEcA+m5XMFjYsGRRs2jsHz7NJARmz+2HYIQxojq4NgRLWhJKtBDMPqUGfL5wXStboU1RYKKAgh2LL1gJbtnyTbd66Q8JaoP9VeaQB8I1CBjSgSFHKAAeIK5RsULSD/hyDjcVryB5hoxGpIH0vPz9f86DNsH2nrVyxSd+13dbI4dxO1lZGq2XldPv8EZkp0yaprInk1hlrbj1vbWQTdV29g+BCGfdr/iBQILvCEAgACGjwN6/j9V1yItsF5NvaL1qL5r+59aRAyQErKNaaZbdpzSpt/YY027snUwJe7vfc0002TWjwjZCkMsBR2RJJQOG+3rigcf7SJR9nz562W0cO2xc1T9/Ys9f+/L4P2l//2Nvtr37sx+zPP/AB+40tO+3Tja12Vd95VMqV7+YamGvK15qbMGaVEup8W7MmTU57neXmDUrBjunap6SUpBApSdReIz26ufm01uGsG2B655DV1N7GOO/PESFv4bUCCo31837YQX7ugOai2bZtq7CVqzJt2Yo9nmW3dTsp1s2WS/RbAo2xpCdGfVLm1q75ZW+TNdVLGWliMIkIDY/S2wzSUcZvXAAAEKA9D9mFAWVAflHyxGuGR17Q3pXTrTXFQJKtBfCBwMvI6tZerbLNW0gNJRJOOQsnXkXiOPS9ARgG0pij3AHjISMyAPEAwiGnUMqhQSYZJTQKDcP72/kIzUMBB2RHEhXh/RiMUDYZSC1IIUAsJ0vC2jPP7vQIlOfnd9uePcW2a2ea1qlMc1YvXcCpHt0uOzg6OP84N5HgihE8FHQktKLTw57AMUKRA8yR16KiQs1Hpm3euMs2a7327KixnMxOKy4YsspyrVX1Ye2NE1rvswtrtQCwNM9EZtyA0fgQIyZFTK8ElPE/+6N/nWi8e4/v18df/ae/df1P9hN7srCwX/ulxbZvLbXtknXKEel9BHAgWpjaQypmITmolH3B1rhDpQEYh6AKJXb0k4rgIQAJAAVgPRJZZLjQhwhwzclxOFghO0myQzDC7RWk1nnXY+iY0uIRy8lutx3bSzw4sndvhuwFfUwqfe9ja7BTyIITXLJLgHEGWSJup5KBneqRjerq7tJ72q2ltUVyWm8VlRVyMHNs9+5dtmkTGT9r7bHHBBRW75EuLLE0OaDovsLCISsn0whyS3YdIsYzjdrJMpL+cZKEiHjIAiJynUqUhAF5FQgsZC4895y/hiPZeQ/kHrqvt5deUud0jUfl+I5onVql9yvkYBGl36Zrzpf+q5VT1a57JyATevdRchkzQHHiUsmt1wrK8DwkFoPfyfBiYOvO6b30nzhzhmbglMlDaFEqH/o/xswCsuCGtQ7TmtNLaXvta+sesj9Y9S77ixU/ZP9y+Vvtj5f/qP3sqofszOZ91p7TaJWlw55VWiVnnvLYSHBBPNEugJ+UYJJlReCGOSdjjsBcSfGw5QkU7N5dZVu3FtratWn2yCOb7f7719lDD222FSv32ZYtJdK99d53pgBismxMDnHot9Wsz4c4Y697+b5nMtzUnpftIjiTrB3DSxW1VpBcC0SXD/0OGSnQy+tYcz4HUFJZSbPgDtvHAQScopQc0MA+gQSNdsqzJQRUQiYYh3nIRgG6j8pGARxke4hqx/KS0CuSfio0xg6Dvz0Acyo0sw82S4AhKfdFJpFB5M7L+wHpukcCHMhag+a3rHRE10ubgzJde63mJ2SbEOjzPnayOak2inVncEhA+H1Oz++XzYhZJqHMFxlE7rB5gP2cnFwPdK5du1N+co7t2Ss/JrfbMyIjyUnAjOuCIAyZWyHDeKFvqHwGdAf3w7x5EEb65Vd/5Z8mGu/e43v1eCOIrcHBa8IPB+U7DQor1NuOXfXe1wZimr0K6e29tpJAwsgoWCpUCVBi5SQMNgqcBF5aGLFCAHv0GTs4F8YBH/q/H7AEoZUcNiUfkmAlso1t8ixiAkQtZ1wnU+HAyXbZ0ss7thXZ6jXbbduOvZaTmyddU+bB8kBuIUtk1va6LODTE4TBh0NnezBmIQDD34uJAmRN9vXKbvXIbnV167Pa/HMLC/Nkl6Tjtm63ZavW2QMPrbTHl22Tb1xou9MaLDOn0/KLBqykjHYlECYHndwCE4CHOjnVT74qTblpfI2+8/5bwo1knIxK1rBTEAxknzjhxSBQLYzpQRh8e73e7RaYbOCmrlUYoOuStbdSGXRAPvqoZWW1yc8os1Ur99gH71thH3z/I7Z5w2YrKSqST9rsBNJI0icS3QLRkBqUwQ5hoyC3YhAmleCKWVxxQHgxnknG008+7UQW48lbT9rtm7ft1hO37PrV63bl0lW7cO6ivu+0dO9h+TjT8uOls2THOoQH62trdJ2yI7uzhLt2O7GRlS17ItvTK1v8qfc+bH/45rfaf/2BH7D/V8MYbwrjf7zpLfYnP/guu3X/BitYl2kbVu+15ct22ooVe23z5iLZplrL0N7JyeuxgqIhxzjlrJVjq6RsXrjNCRPZFa+KoUeu9DekifdP1j7lMDD2bOQPyK5aHJBZn5Q/D2H0UT/pEFuGTmUfl5ZMClN2SQf3O0nbKNzSJd07oHUc1pou2CjwANl7+HH4dJDDYCkPXmJr6A+elENip8jG0jgum3Scn3ru2AkG9oksrVAaSVDUfUTIZOQOPKjrQ98PQJB2XrY2YdlazUmJ/Na0fZXCqLnywypdtujjHbEU8sQeigGYiKFiECYOfKOIrXgdey5gqynt+QnJwYjbPYizsrISrZGw1WYI5D2SL/mDGa2WVzDo+LOycs4o52xqolfoRcfA8C7Dg7JXkMWsk+SGDLRZzeH+GdkrrcvnPveNRNu9/uO7Smz91m/9voN8NvmevfW2RYK7ck26PfL4Dlu5OtN27qLxLP0VZuSYzXsJCFHoUDsrYz14S8A/KUvEQRI49mius+Ok1bJJtVkXUuDD4H+8huwW3jMxSVbMi56tRPYSWU39UlQ9vaEhOA5Cs0BCfe1hb/5NenxWRpvt3lUl52KfnMDVcgB3yuHIk/NcqoWq0kLVesZV7LkFsQJwcPAg5czgdzYU/2PgBAEwIIcA7yUlJXIos23fnj22Y8s2W7F8jT362AbNjYR6S7HPWWZWuwRKQl04aMVlEurq/VYl5xVyq77xpDVJ8Jpbz1mrNkwH2UcyLJQoMnriEJDohfSSkaN0kb/p00UpWJuc1ubWs9YohxKHGVKrSA5cFkempzd5md3qtVJW2/d6JBFB6ezscmOCkcGRY9NHBhh2F6BA+iJK97UG/2ecPn/WTl+8YGc0Lh2dt090tdvXN2yxv3zn++z/fssP2v9805ud2f8fb3mL/c2PvN2+8/hK+0hpiR2V4ZvEKZRhc1KrudmNWUF+kW3bus+V4/Yd1XJEe7THNHfFo34KXjVCVnNI839Eey5EwCnVw6FGSQJaAYxkdhH5rhdYqKs9YDXVM1JwAk7p7bZnZ51t3Vwq5ZsucLfDlfAmmshLCWcJYBL9LimmIW9gq+sbINKIsJMlRvkIBvO6l34GEvKphISEeITsCll3cb/GPes90GQg6a3G0a6saVf3ZY/Qka2VVzBk+7RvN2wps7UbSmwXfbYKdR2VMtgNkq22xABo/WMkz/sHJI5OOM5dIFxKNEQ1QqbJ/NEv+iDThAhE6MvASEp9vQ9QzI5MOXFTn4cxgdRKjS50dVz0DLg6AbCSomHLhkDYlquxTzJR6rIVU9SRI5wcFHJqFA8lywBEMAJQmPDX4ATxHohkPqe8vNzy8vJs3z6B3fVbbe2qXbZ9a7HX8BcIjJdKR1WWz1pt1bw11rFWZELQz4a09JBlAsjBkBBlIGo3MSaHTsZsUnrlj/7pXyYa797j+/XxV3/1N1YjOSfLBUKAzJ99ApRbJNc4WJQvUA7Ekdw47ARhQqSQDMjQyDtmTAAoQ3lxAJWB5CLD7+4jkmCA0GC3KDnEQZbNkoxCnAFO+C6+E9ACmUEZPyexciLrvn21tmFDhi1fsU5ynyZdUCCnosTJLWxNDMS4rZJNirYqjmifGLyG9PKm5iara6gXOKl0Yjg9fZ9t3bpFNnGtPfrocnvwgRX2+OObbeNGSunrLDOzTdfS64dokD1VKVsF0QLpErK3cGzOOVESiONrfk+BLJGtT8iS1BGIrNBHKpBZ9DyUTdN7u7ov6bPO6bOPOqCjHDJtX6P0SLGtW7fbVq3aoHnJ0LXQb6JV39nr5B16IpYk4sRhs1JBAkTV32eEVP2zdup0OKyC/hPHjnESKyn7R+UQklFM8GXK9ReOZW9Xj41Iv53et9e+tOyD9u9XvNX+71Vvtv+ejP+m8R9Wvs1+afl9dnJbmtXntVlFOVkF005qEK1mTiGxODHZySw5tJBCzAGEFn2rIPlo6p+Z3uLZWmTWrVy5yx5+eIPdd98qe/99q+3hR7ba+nU5TtxSTpqV1ekBvTIBPUpxQ+YWgRlIFMq06UF41YkU9DiZGUTKWZOgIyEqA9FFhkMcrCP/4zWsG5nxEMQ0cE5Pb/aMSDL68QPxQSIoDyUmoTeb92VbyEL6jB2WjfIeXmRCQnA5yRXK7SCtYiZWDLrEEexWaHhNiV6wW/RbjZH6YKv4Xr4fki30CAKgE9Sqtr17i2SnKKWqd5lCdij1ZY3ZW9FGxYGPFH/nf5N6zah8l4UMfgF5PqNB/mRRUbHkKNO2bdtpq1ZvsfXr052ozczqkF/K6aOhF1qdy9RJD8hFmz6IDOm60RkOthOCi4waAjD4xr/8y7+faLx7j+/V440gtvr7LsivmzEO4dq2rcZPksvM7HDdW1szZy3NJ6xTurZPcjQ4wInzJAo8LV9SIHziBdmY4PdNg5WoCgBLkQQge8ShQgB+yoP2zzD0f0D/NOWGHNgBoRXAPz4R+851svZhp/YjGS2NdUccS3E9OdkdLjeb1ss+Ld+oa91tGcI9BYUF2s+l0l3YqDrJWei5hSxgk/DfILnQm4OD/Rr8DL9zeBdNqyPOSsVWYBR8vuwcyqIghzfZ48tX2/vvf9QeemS9rVufbduF7fbJ78yW7SwoHpKtTLKBHBsQNCDgHf31UNHBPQZ9lxBdnE6PvhuSntNPfAD0H9Uw+OueROBk1i1/H4FS9BplzZBajY1HrKKKkxCpDKqVHc0Tnthi73vvo/be99xvq1et0frmWoPsN9Uo6Ar8W/xeCIfUoAz2KJJbsZw+Elyx33HqgPC6nTJu3aSPsf534wl7gveRjazPunThkp0/e877ah0+PO92E1KrVz5Em3zrhrpaK5efUZCb7xk7K5YH4jBN2LFAtnhsXZb9+I+8w/5AOO6vf+AH7H9o/E8nuN6kn2+y//qmN9m/eNMP2rPv/KDlP7jeVj2y0R59eL1wsPyM9bR5KbO9acLB2W2WW9BrhfLNqACD3ArBHggTMpgJnAWS39sZaX1Yk1H6OY0+H3z28Q8tEF0E9P3nFMHDUAkzySFseg2vhYzs671pzU0QW1OWntZhWZndVlo6ofWYt462M0G2yIqUfwJHEUjjWO5L0s1nFk7T9Aoyz9gnW38ROx0luJIMx1b6H4fbcbjDYQgt2SYwmWMp+YckOUCocm8D7ClIrZYznrBBf+e8nA6tQ5Ht2JGxgKWamlqE/UJgkz2UmigQMRQYPo4YkIH84n/RfvGeVGyFzNXV1Vh+QZ5s4l4PJK5YtcPWb8qz3fvqvdyXVkClZTPyXUJJIskkVEo5udWHzxd850hEkr3liQPTr9hnP/MbibZ7/cd3ldj65jd/13Jyem2vNjik1rr1efb4il32wMOb7ZHHdnk9bUZGuxXJwQmNMY/oxmk0lkR3e3XzA9qk2jhkbwH0neCaDL0dfHOShTVNOih/hzFBHym9zqPcmrDhUSlfVzICB1JKkD6dUlY4BUQOG+UkVMuRwxknapme3mq7dlS6w/7IIxvsgx98zB2NzMxsOe4FchpL5GhWeMYVoCESXETcUK4MFDT1rZRBoWwZzXoNAKNeireistLT98jW2rVjh23esNGWP77SHnxwpT3yuMD3ejmcOyttnxQEZElOfo/ly0gUV0xaadWMVUioq2vk3GpDQ5w0SLg5/Q5ATqPwds1fx8K47KnBKGgvN4RY0Bzzenoc1Qmo4SDTqLa4bNSycrssLUMOJ8ZoS57AEg7WVi/lgtRraQl9W9jgKFo2fmSAI8GFow9YeK1x4iRA4IQdO33Cjp87YyfPnrFbkxP2pX377HelCP9Gyg7lZz5g+d9k/4/GX/zoj9kX1q+xg40NNtjTa90ygi3N9LyodaIwPS3T1qzeLAOxzbbKYQ8KqUfrNiDHcNTLBMmmIqWUCA2GjAZ3lJ9SgkQNNSUSIfI959HrSs15meaFHlr79jR6iixE1rJlewQUtgjkbbO162Qsd5RLoTfKoCbRb09znvV1oiSXdEzPEpMSbhNQCMfgBiJygYCUoqQfTb+MIVl3PiQDPA+RxWu6pBSIJkFMUi7C2pFSnZndbbv2Nti6jYW2Yk2ubd5WrWvplWKZ1v0kjHnbBc0ZPW+Qq4TckqwApoNSJp0WwE2El8jd5zytNg7KFVHUYSTNMb3U99P+nqCA6SmAE/Sy9kfSEwgiTkYHpdbSdMrqNL8VAuX5OV22R07GhnV7bMvmXXKESjTn1S5TyFMkt3BuhoY4Yj2UUrHvGKlk1mIEj+hdj8sh+6KoqEh7l1PAdtu6tZtsxbIttmljjr5X85PBySt9Ai2jApCzVlN1yNeKhoeU+HC9yA3N+em1Qu8terDRjw3QBunwh3/4LxONd+/x/fr4j//xb+QMT0qHjHgJIkTWNmzWGqKQmZJtMpa6JEtkGB+QHIfTyTxjwrNLQvZRiN4RxZWNImpL5oQHYgi4pA6CL4tZxD48yovdkuMiexXILMl891W3h2QmQcDTvw9QU15GuWSXnIpa27ol3zOLH350hZzkvZaVk+P2pVROJ9lWlCVidwDP2CFkK9iodn1ue7BPzc0+AAYQWjW1NfqeSn1Gqe49ydbauNFWrVxlDzzwqN33gYftoQfXSN/ulSNVrutoME6RRPfRP5Mj1TnCG9IFIoNgAoQcNhfygvlbKFNMSC7ulywDSBB+Z24BFOHnNZ9v3gdBBlHW1HxMnz2ndRvzckiyk7Zsppxhm2zAGtu6dZv0dr7V1NRJVyZEufSEk1ty6u5GbpFx/HqD11FmGFP1jx09ZvOHOVGSZsYhwjlFdHN0zHWS6yPmu7HJxoqL7Oba5fbtx37EiSyIrdTxX1a+xf7o8R+xl1evtJ7MSisvpgxtXCBQDn35lJNcPtgD+sm+ZWBvCCQWFw66rcqUbtstHbdBfswqrdFjj222+x9Yae9+9yP2znc+bPfdt9pWrtzjgGoXQC+tSfYiHARA1h1EGesG2cS+Y82IjrtjqjXr0r70kh2G1iaSlIy4hmTV0bvUichk7QgaQcDlF/QJ8Nba9u1llq5rBVwG2SLASbNZMiJDX8qQtSWHVzLj5JYHYGiC/TnPguSkTCe6ABCpw8t77/xJKSN9tCh5iMQynxvKDylxfToEYHS9ZBtC8JWXjVhubrv2ebHt3JlphQXF2tfVLk/IDwFM7A5ZkGRvEfSDvGJEWwXxhc/kmZGyZwyyI7Fx+I/4Vrl5ZJmkyb/YrrXZpH28y7YIKEIAon8g1+mlhEwB6kLJKM3kycYOJaNeLoptH3la1xFKc5zkkn75xV/83UTj3Xt8rx5vBLHV1XXSfdJsAdnNW8q9Amb3nnrfI+XSFQ2yEW0tJ62r47z195C5RRuMgKUgXTgBnR5CBP45pGtyRlhKdioeOkW7lmmB/ulJRgD94+PIB9mMLzhhgE+HnHCwUqf8ylb5tmSzcHgSB4MVFgy5Tt67u9o2b8p1v+uxx1YLC+6wvdrjOTnZAr7YKMlSlWyUfLXo9+G7IReQXIzu7k7pmk7JC0GZ8Dd9tDh4g4wU5MexlfAYuKywsFDYKU0+8BZbtW6tPfTYMnvvfQ/YB+5fbitW7rLNW4vlK9dZelarZA4APuA2BHLL+wLhrwtXceAUbXJCUJrWJZfcf/ZG2L3y0yVv6Lg4kD/8d0av5hy96GQWOEy6k5N7IR0b6g/re2aEfQctPbPZtm4vtTVr0+yhh9bau9/zgL3zHe+xRx5+xHVBtZ/G36bPDq05IBliMgG2J7UkEXKLbOJIcKWSXHFcS37G0np/DiJL46red+XSZbt88YJd0Gee0WcfP3bcvwucx/f3ypZBakFqUO6ZL50F7tq0Yac99ugm2Rv5CnuqLF8+wejyHfbZt/2wfetNwm7Ccf9J4//S+C8/8Gb7W41/JUz37Te9xa7+8Dtsz9s/YA+8+2F7//setw/ev9qWaZ3Wa99s21lue9LqvYIIcisQkdhDgj34Foe1Vse9RcRCACYhuPDX6Z9MdtDIECRXIP3JXqQvIRUwYej3kecdqwSy9ravc2P9CdnTcduzp0U+obBC4bDV1RzUGp60bu2HPulcsqbw1yC3PJAgW7JQWXaAirLPesA/9WAwH7JHHIjn9ojh2ftkDofkADAVBHPwE0OlGYe8QapS9dLVIZ9Q+5MWORXllPsOWPo+2lFkyu/ZLT+s0HkKAjCQWx3ttE4KWCriKOzU0mAM68zgOf7ntizBVx6cS2wWvmJFRbnkOEs2cYetFbZ6fNlmW7UmTWsm7J1Fn/ABr5gCg1ZVUUaf9ArVOnlARvoDX2EYm6V5j5nfk/KfP/2pX0203es/vqvE1m/+5u/I2W0WKKiy9RsLbMUqCe6jW+19H1hr992/McnakjKm103ZhDs1ZMnAwOJEudPbe9VBPQA/9CWC4KL5djgJ0Mu2BMwDmKDnw3PavGzOECmELedoThQMp1l16DMRAJpFAxCqpVxobFggJysnt9OJCZx0IpzLlm21977vIfvABx/yUsG0tAwp6hx3lOmNRdkUjj+ZQpR8oJRRrmE06u96OT4aAgoo3FqUrpR3hYB7Ib21cnOc6dy6datHwR97bLnAwmP2fgn1chzOzYW2U0Zhn64Jxjonr9fyC4f03hHP3iqVYFdUzrkiRriDo5OQJ9o8KGT6GAHQKa3DAeJv0thRBLweAgflgEJHWZDymZ7ZYrv31sgAFdna9WmaB63VinXavLudJKjnCHVtbBQtmx2nDYGIzC/RBMACEQUUb4hmLw4HAseP2dFjR+3wCY2Teo3+vt3aYV96fJn9wZvfIqWXkraajP9H41/94A/aF+//gI0IaDXX1luLgEJtdY2TWlmZWbZl0zaBrZVObG3eUiqg0+QKKSuzSyCw340t2VSUJqIYuW9OZKqs3O8RcTKf+BvAAJAok7NNBgc9Liid3b2r1rZtLbV1a7P0HdvtwQc3+Fih9dq8tUAKvVpOepP2UpcrGie3yvX5VYtEJHPPSYXsQwScvmaQVBBdnd0ackTY94wu/c5z4f+X/LWtcvp5L5laZDpyrXkF/R6B2r6zSmuWa4+vSLN1GzDurVZQOOJrHBjzUBYJIIHcIkvMj4UmHRSlPPWy0XxxluOhaei3H7Lq034yKcMJrIXB/xb7f3lPgel42mY4aZNTTvtlYChlgUhGtjm2F8enWNecnSGjviXPlj2+QaB5m+QQR6fUnRPkBocFJwfggEJlzwWSK5T7xsFz/A8AiSMEYEfxxmwtHIQdO3YKhK+3xx9br/WT8tU6puEMZtEbbXGtqrRWyBNKmGh9ILgEwrU+RO76euS49AK8AW637A/+4C8SjXfv8f36+I//8a89W4WSHwgaiKyNG/Md+C9btsuDMgAHegLFPkT0NIrHq8f+edgcbE/MmgCQAyiRLYIxOCfYrNRSrUBmveBG3QktAjD6PPYbMoOcQwjxnZDt9EIqLBxwEAMhsXlzvgDwDumhZfbww4/pOndJh2d4uQe9TLBT5XJwKuUg18j+1MkO3XXIhkGAMQDt9OkqKSmT3hSwluO6Y4cczXUbNB8r3Sa+590flBP6qD366EbbKHu5U9dCSSLNyJknGu5DVgRChl5RM/p+CC4Oa0C2Yq+oc05kRJKL+fSh3wETDP6/2EvqpN5/NLHf+30+KGdOk/O7bVuh1mqv26wHHnzEVq9eI72d4fePPsBuQShEcouyMMgtgjLRXi0EX1Ls1d0Gr6dv0qGDh+zAXGhmHLNH6f2CTooEO9+ND9AgADe1b4+9/Oh99nuP/ZD915WvJrZ47l8te5t9/rH7bXRzuhUJfHlzfs1lse6V05IZ/E3pIH3NyIyAUCRjDnIxPb1JzniN5qPE1q3LtBUrdtgjj6y299/3mL3jnR+0t7/9PnvHOx6whx/arDlKlw8CYVNlGRlyRnN7nEDhcyHSPENIa7ZQVqr1Cmt2wf0p+pDQ72lh3VLWzwGd/s/r2cecukgQE5vKde6Ur4Wc7dB35+seIbzYH6wz5CWEJtmyQZ4CQUP/rqWNmylRZPjvHpQhYh5+hhH6dvA72ZOhF87HFgit2L8OGfasMgFZb02hayGLk6xI9hdZkVu27NMez3e5wvfD72sV8GRvuY3q75dd0ND6Lx38jxEJLQAr/mIMwGRkpLudWr9+oz3++BoBha22fgOkcq2vTV5ev/dS4sSpuC5kmAcbBVhYzDJOLRklAMMc/sIv/ONE4917fK8ebwSx1dpyyDELZbzrJT+rVsv3lT/jZb3SA1WVlEwdsTbJK+RWj3zHXojPiKXI3tJ+AOCH1hep7S8A0bJV45ILMtPlG45BZsmfGx58xgb7n7T+3ick3/JLJdcEKhvqjlqN/Kay0in5vcNelk7vvt07a+TfFciO7vSg/cOPLLMNW7bYTtmojIw0y83Lli3Ll64pdpAc/T5kAp2J/+ejtVky1iJ7mAx+byMYQ6l8k9uuauGA8opKKy4plW7JkT3abWs3bLTHVqywDzz4kL3z3e+zd737AXvo4Y2LiQOar1AV0+3zRmUHILyyUv46PY0JeNP6xYPS+IJJNr/rvEuaV/mE7heS1YXOI4EgJBJ0dF3QtYbDPFqEyZoaZbf0WVQqVFZOSY6HhAHbbdeeStuwKduWr9hmH3xgmfTze+1HfvRH7X3ve69w5zbpmVKfD/xabApEA0EZbFZqCxgyiGPGcSrJFYmuOOhpvNDXmN/1/4XWMOcveIbW2TOn7dTJE/752EdsGn42fjjrUVunuS4v05yRnCHfYPseWy4f/qEH19mGjRla9yIr3pRjEw+tt5ff8lb7mrDb72j8c40/0fgXP/Am+0P9/KZ+/oM3vcWm3vZ2W/XD77Yf/SHd+4/cr3WSL/PINlu5OsM2CAdDlJAFBBFJ4kW+/J8i4eCSJHurpuaQ46pFfz22EwmZdmAQDz66PnzaaAMD9vEqGYaeh8yCZPGAmvz89tbz3qKEct+du+pshwaJOpQjNsl/6RCehtwiKIe+Rc+SHUZ2MUF9MNFCooDjJRIAKOn9rPepwx55r3D9XMRTZA7HVhQQWq+4fCKr8B+emKNr6xCGQ+7qa+e92gRcS7uM7duLbc2aHbJRO7Sn8xwXh/ZJYKk7+4ITcAO/Q1bGAYEVB3+nJguAr1j/6M/U1tbIZhXILu6R7tlkK1ettkceXWuPL99hG7cUab0aLDO7K4XcSjIiE44HPgL/AV8Bm+VBTXxoz+J62j7+8V9MtN3rP76rxNav//p3NNE1tmlLqa1Zl2fLV+61Bx7ZZO+9b5W9873L7aFHNQGbS8yPnM7vd7Bb43XOR71UqS0aawF7z5hIjDWRbAAAN48zgtEeGaHfA4MU0aSWue+GALycqy6ymCB5gkOMcw04KSkdkeMPodVu6RkNtmdvlQBNiQQzy1Mq75MT+E4pmYcfeVQO4jY5F3u0iOme/QFYxhEBhEeCC6WMoxNGlf6ukBOnIUBRUVVppXKui0srLK+g1DKyOT0iRw5dmm3avF3OJemXK+19+s73vG+ZNogczjX0wCgUeKmwffvqnHDiSFTIJxofFhQOe6ZOadmUFDrpfqH0g8wjouPU2lMGEsZR/X3Ufwe0h9IFCJxJrzEvLBpxp4nI6S45xFtwiDdoHlbiEK8VYFpma9eu8zR5+liRJYWiZcOz+VG2KD8Ubmr2FgQXyhEQkDp4bl7/O3B03g4eO2LH5g/breoG+/H77rfffdOb7N9K6f03DVJXIbQY/13jT978Zvv8299l3ZqzkrQsK83Ks8LsXMsUeNkph3D5slX23vc8JKdwu23cVKz9V+2AlP5XpPPnyIDl+ykbQ54pSNPaYsCB5qBUAIy5ADTwv0IZHgAkvQtQGnv2NMjprLBNm/IkxHu0Rpvsg/ev0j5Z4amz6+X0bttRbHv21ViG1ioXckvvh0grlcEv5wCASjLFgsGkxxQCTuacE5ACySGTQaChIwz+5nlOc4SQ5PWhQTBA97D21bRfZ2ZOh9atzjZvLZExSLeHH91uy1bQKLPasuPRq/peIhBtzWed7Ufpo/C96aLkaBylPC7gQCqoFPOsHxENcfWJhUFT+zBC2RSRBDIoPUNS4MAPJ5A8kh3pPdy6rwYlTLqsDA+Krbx82psa52S32a6d0g1rdgtgrbRNG7e6Q4KxRKZiRiRKFKIqRvFQzAxARBwoXP7H68g+iWAhHM6QpbXbI/DGSW5r7ZGHVzvQA1Dt2iEwl8ZaCcxJnkg1jrIEcIjrFEB46L9FRMjLSXVvRIZ+//f/LNF49x7fr4//8B/+WvuxX3LeZXv3tEiX1NrmTeUCmHm2elWWrVuXL+NNyVabEwqUasUSu5BhjIEOGROB4EoApeTKe0VJNiIw94ihnmNAKlMiwmtxrLBxfA49HwH3Xh5OdmOF7JV0FWR5jmwApWM75ZhvlX3gGPMHH0TvPSC9t9wDJWQnApLJtOIkQ7KMSyG4ygPBtXQQ2aOHInJXWlou/Vgqe1AieSQLtsB278rV52ZoHnbY8uWb7IEHVsnxftTe+95H9ftaydVet1W0F0DXZknXkjUU9J8cUF17JEroYUn5XF09TUWP+hxyrzikODsLA0Cg5yFTAO+8FtsGoUUZZqV0H+Xh+dLpBKR27iiTDqHkjoDDanvfex/Qz8ds8+at0uH5rk/QDZAKAAScN8rCXisgc7exYLvoQUH/CTn9vJ9yw/HxCf9MAABOYHv7IqFVLZ8Akr1KPsPItq32oYffa7/z6Nvsr1a8xbO2YikiwzO2Hvth+9Qj99vY6i2WvUOAVU4iOoosp4KCfv0ccCDG35BZZBnSr4oeYxnyZfamVclvKBXgKNAe3qc52erE1n33PWLveMf77Yd+6J321re+Q3+v1J7ZaevXZWt9S5xASadEJ6fL7V4R2VsCD7FnmvsRsj+NcqqxWzFg5tlclNho8BOZ4HnsWiC0BOjq57UGc1qzMV0zWZH1Xrayek2a62IAJnuE1+CntbaGJtjIFKWMyFI8bIBedqFJusCDk1Sx5HdxRPIqgIQ46LXyioOPQCiHKD02kOwLJ1PbOUTopOxHkDv2cLr2F6TpipVbZP93aX/nSkaKfU1ZW7Ihm7TWMcsYe7Rgowi46Cd/8z/sWMyQ5H34i8hdbi4E1m59Pplaa7R3H7eHHlojedstOS+Rf9rg2eD0XMVviZlb+AH1mq9Q7RACwoDrABgAdWSTBN/5a1/7TqLx7j2+V483gtiqr5uSvLR6I/RVazLsEfm7q9ake2UMJ7lDdNdUSY7qjnrZG/YEWSKrj6x/KgIA9MNkqEBwyfcL4wXpsBf1HFnDHE70jANNB/4C1QT1yGSB1IZEIEOLQCUZI8VFo9JD8pUz2m3fXvRxlWwo9mmvPfjAGtmLh+yhhx+ztRs22NYdW23vvt2WlZ0hXZAjGQOEhyAMeCniKHy4ujqCMWHUN8RR538TqKmsqpYsBEKLEvysHPl7e/c6rlq1ZqPmZqX89Iel995nP/Zj79d1rBAW3af/F9lO6TsyVTnAIpd+xhzWVTgqmzUpvUfiAAHvA7oWqi6SoHTjSeGfkCzQLj3nQ/Mbh+s+9J7kEb0HUc8c1Qrb0p6ktFR4SzolS/p6195aYWCqYnbagw+vsXfLZv3wj77d3vq2t+laf9Q2bFin1xbqu+tcZ6BDwFselJHdiTYrkluxBQwZXJBckbB6rQEJxmu9NYzeT8nhSeyccNnhQ/QxnvXvwl6iu/CrWZ9irVVBQb7mK19+U578g3Qntghybdqw13I3pVn/41vswjsftBfe9Bb7tLDbVzV+VePrGr+s8dM/8Cb7sP538q0/ZhU/+kFb9p6V8iW2yE7ts7VrCm37tlrtEdmzrE7t6S7ZJf3UwEcD09CgPp8WPWTaeZ/cA9Yg3MsJl/gMBCciAem+ejfZxdeli0Ornm4yiRmSB35CUEFO8nrWsbHhhFWUzciH6rFtVOlsKQv+n/AcFSetWt8OYTXITIgZ/L4Ff4+gpWwUGfkhQx8cRTULJb6ftDl+OumV0j5pGiIrOdhO9snxlOQQ3xD9zTWCPSi7hGgFz5ULV+IH0IeMk4/XrN2rvbTRia3MzCxfn0huxUQBMBLYPdonfBVwPGsMicXgd57n/7yO1we71eZ2C5ksLy8Vns6wXbu3CWuvsWXLH7cHHtJ4eL2tXkuVQ6Xmq9Wys3qsIH9I+oEM/tB7GlkKZLF8CLIhCZC5zbrqc4nNf+WVryXa7vUf3/WMrT17WmWsm3TzdZ5uuX5jrtFn66FHtmvslOKBOa/Spm3TIgx5H6SaqoPWIAe2KYkQtrcn2Vuw4p5iSMo7AAJjHUZIA6WUIaS9M0FeviFD39xCv6RDVl1LCd+4lVYMWWFJr+Xkt1lmdqOlZUqA0ip0jUXaEFke/X5IjvE75QC+853vtuXLlss53mzbt293x4NePRA8ubm5vnFQPADoSHI5OCgrFgDS8yXF+l+ZFRaVWV5huYSxRt9Zo/utlkKV87lbzueOAtu6LUdKLF2bY5vd/wDNXTcaJxiRnrp5S55eU6rXVkvQG7xMEKKF/lGQUbC1xUUj7jBWlE97bXuVFDLNzhfHnP/kf4CLULYw4kCJ6Hp2NhHJNmemyXQiQwGHk+t5UCDm/e9/UErrMZ+D/LxwQiIbHGWHAODM49SjBJcSXChfgEDqgPQ6qOdnDmtIgR6am7WrNXX2yQ980L5J3bUU37/XIHX1b9+knxp/qd+/KUX43I++2xpWrbfMDdssfdN22yXgsnnjJluzZq3d/8EH7d3vut/nbt2GAq1bmWdfUMNOdAbiDoNChCY3v9dyBRLyCgUUZGhoJMnvZD+R8poj5xuwkJHVYnv21dqOXeV+StG69VqnFdvs4UfW230fXGbvee/D9uBDAnerKa/N9r5kZLylZ1LaIUdU81soZ7SQUlInImU0ZeCoEaf0kcy5ABgAeZR9UONPGjTNgUmJPurG0fup6PU0ToR4IboNqQXZuUcgYeu2UluzPsceW7bL7n94o5f8rtuQ78QxTZ2rKvZbHY3kG+QAt9DrBoVPCYmAg5xe6rZp5kcz0KmJDznBRQaX96qTsg2DaF4cL9no+HNygp5xcB4OJrhtfQNPeA83Tu5sbiE7Ukq4dt6dBO6f/YZTtnNnmfcQefTRdQ5AN23auiBXyJODhoTcIirOfsO4xzIqFG0cPIfSxvDyevYnYD1ma+3cuVOfv8VWrlgt2X7cS4zXyCEEMOyVbqI/EKe0Mk9kRUB0Mr9kmSxmLCSKmFJSKWNILubw937vTxONd+/x/fr4q7/6W3dY6+uOSU8ekn6cdHuUJaOMXtyzp9F27WpwcpsDPSBqqmoCqGxyciuctAqgxP4EgoteD8hVILhC1kRIdXciizJjOSxE0THmIUPpgvZxyMSs0eeTLVJWNhaIYMk5De0JcuxEF23Jt7VyZB57bIOTWu959322YsVKB8Y7duxwMjcEYrK1t/N0PwXSQUVOcnHCIUCAPgxF+ruwsFj/L5K8FElfQWpV62ejnu+U7sIxka7U96en1dvePVUeGaTEjWyflSv3ymam6VpybOtW2aldNd5+gGtFf+bnYac4Vahf3y075SWKyNaskxgEmiCrAtFFyXYY6ETmN5aGey8p6T1KyeknwefQo5N2BpzuhyxTOrrs8R2yWes0Hw/be97zsD3++GrjyHfuu7EhlLr0dIdmqt70WzYrltMTnY72Kp5mFwc2i/9h0zgdaHZmVvpxyjitamRk1AYGh7SOfXKmu9wBrNd3eRaBQBfzXJBfaAVyNtsE7G49/H771Yd+yP7osbfav1/+FvvrFYvjL5b9oP3GQz9itz9wn5Xf/6itEWhdq/siq4kDbbKz27Wm7dJZ2LIW/Q6RCOnRoHlu0Lq2Sn+1aI0bNUd1mncI2Vy9f5+t30A50Aq7774HBJzeZe99r8DmQ+u0b3ZLF0NuFWtv4Wdo/eRjQKaRyYgzT0AilJUmmQxus2hkD9EVMhoghDyjTjLB/9xmRXslv4OMCHp/QX7ukOO7fkOefIw98nOyZKPrLF97hGAb2ftNsn2Um+L3RRvlZLHAOL3sfAgAeE+7aU5gpJQq+emDHiof9owsXkcPlEgsk73kDa8FRiB/4oEM3AP7jkxAyj/pl8mc7yASLvsOObhx43ZLT8+WPOZLLoPfF8E4tic124RMLvYbdou/ed5tFISWQDll9/SAozcomYVUBqxbv0F7ljV6WH4X5BatIPJ8XQLpyIFCoXSKkxK98bUHYSjJCQ2VY2adZy44sAvlvj/7s3//I9TvPf7XPN4IYquicsh92i3bCGSm2cOPbbXHlu+ytZKnXbtrnZgGD9TKx2zUngCEO/ncGRIFAPW0tuintcLgU16qFUgsyQRZ9gPhxPS+HgHqbtmmzqvW1X7JOlpln5pOOzCNMk0bB+SEDMwM+ZrYp907K2z7tiLZoizZiF32QfnJ73//A/aY9vXadeuFMTZJZ2+XXtojXzBd15vpvhpBzVQshQ9IJld5RZl+alSGv/05yU1JqWRH2Co3H5BdJn1YIntAv9s8+cNZnj1EQ2uyoQj+vP99j9n73r/SA7+rpFM3yWbskFzRzzg9jeB3u+UkfXmd4CqZ0HeQOBD8dXzvGvnQdXUkCWCnpOca0HWLA/2Bv4ierBLugsyCJCvVZxUJc0Ge8R2A/m07q23Nuhx79LHtwhIr7e3v/IC97Yd+1N785rfY2972Nlu+fJllySdmHiAm8HXBW2TTgLMixsI+EXiB4KLv1lKSa+k4q3HmzFm97oyRnRyDNpzaevAgmcf0VRq30bER7YV+x3noNq6DfpuUkEJuQLLNzR20sdEp+U+d0omllr4rw3rW77Lb71luH3/zO+xJYbarwnRParz8A2+yV/T3Cz/4Q3blbe+0/e94wLof2Wp1mofK0jHHPT3an6PDnDZNz1IyCiFYbzuB1CQfvKrygK9NnuaR4Itn2hWNuk9AD+W6mkPWVH/M92m78EeH/PVQQn9JtpkMYg3pRB/6TB/6vRN/Xn49utMxS9VB/x78CzDxmjUFsll1Tt5yoAskGv3kILfw+/okU/Sbw65gXyhvjKeRgqHo50VzeipiGG6fpvkftumlJDEAUvkF41Ax5NIJLelt+A/IUq6rliwt3SdEEdeSIfu0c1eFrZesPfIYCTKrhHu32T75PAT18/ND5hY2CoKUfbQUS7G+kFchINPtP3mO/0X7xeFsDfJpIJuRP4jN9Iw02awtsllkYz7s5b7vk8167DHwVpH3o85Ka7f8bK0T5FaxfD/KEoUFIeaQI8dVmnNwFTbYy31lrz7yka8m2u71H99VYusf/+M/1mZBEZ7SZjvsvYpKSyXYBVoMOU2w5Zu3lNnGzZA7dVIsHVaQN+wsKSfYwXIvZksAHMLmjNEoZ2F7QuaEp39KaXsdsww6J1s063shDiqrAAdSUqVyBsp7rKq2z2obB62+acgamgY1BvR7rxQRx07jlOdqE2+1+97/kBThfVIuy+XMbHRyi8wtQDIlhPTHAohnZ9N7C+CQ74qZwe952lDZOQUCBBVa0FZtxiEBp/2aD4ROzqBAVGW5wL6Ep0AOOicYZWY22a49FX4a45q1mZ7ltmZthm3cBPlV5s4thgvHMy2txaMj2aT7Ec0lTR1gToSclFqi5DJui2PU/wfJwmthomkYm55OhCUQkDsESrZuJSup1L9z7bp03f8WOVfL7aGHH9Xf6/S6PbrHQnfkcNYQCJhdmF4ULtlbHMWbSnAREU8dPDejMTE7axMz0zYzNWGnWpvtuVXL7CtveYt96wd+wP5I40+lCP/E01bfZL+p8am3vM0OvesDViCwsn35WtuybI2tW77Klj++TGDmQXvXO98biC1OlxTQWv//sfff4XVm15knOtPBbcu2ZMUqhcqBxZwBBhAgACKQCAQIkARAEETOGUQGAYIkmHMusopVrJxUJalKybIsS7aVbMuWU9vdlntm7jNzp7tn+o7bfWe67z/rvr+1zwYOWZRKssvVsqXzPPsBcHDOd76z917hfVfYC3Ns8ZI8W7aiwB1DsreI0EBwpcmIpRHlFmBjpGv+0zcKMGRU6fmdtn4DRNg2OeHFMnybtV832YqVWVqbDTKYrMtye+Ch+faJTzE3j+ozl8pIrbWFTm7laR2LPZMAY5muNQolOpBonHKZSKOVgiRzrngrvbj6bWspwAHALEe1TEZ024A/z/8LiwXoimQgBQpztZZEbjfImUhZU+6nMj62MNMe0H75hAzFR+6eZx+5a77d/+BayRZH8dZq/bvcKJSVjslAkCGRcHwFqENkN6SBkr3V3nrVa509qp0YsRYdxduqn0T76NkAgKeRMM5S7OHGoQalkASSe8pl8/O79b1bLSOzTvO/0/fyggXpXpP9IcnZJz5xjy1dutRJ45gRGct9UcghcheUcjJwiGAB4isSWrye95FRSdQCMpprz58fAMNdd33K7r77YTk7K23Rwo1a00SDyvRKOUc1lpUjJZynNcpnjQQepLdixsK2sqCIKSWlrJNG83/6p/8uofF+/vjH+vibv/m/PZsDQMyJRmQ3YG9wVIsFGilbxjBTjkwUkZR0IoWc7Fa6jT5EIWMCOxVLgmIqfAzE4KT4EKBwIgu7hXMleSFLE0IAcqekhN5JlEA3Sc/WSbdXW0a6dL30UXqG9umGEunrfDkUGfbYY5QgPmS/+isftg996GP28MOP2MKFwVYRhFi9erWlpq6RrVin91FKDyDf6EQXh6FslH3KyMjW8zn6P9mNRZI9TrpplzyNuKNRWxt6IRDNrOTUXOmjgkI56Xktuk6dwAyZl9vcZixYAJjZIjtZbCmrt7mdghiA5IKMCUd3kzELWdLqze+9R5R0WmiQTilwGEXSizwHeCeTEiC/Oa8zjM16XiM3p10god42rK/2z6MROiQA/Q8/fvd8+/CH7re7Pvag7mmlPjtbPkg4KQjiqWZPrcBbKEv07K2uLq1/j/XLJsXyxDiwWUTIGbH/BHaOgA4HqezZU6e54hCTaumpSs0R/Sc4IKZYayjQlZEjgKL5TsuwitUpduCh++2Nj7/Pvv6JX7A/uecX7N/c+y/t3973L+0v9fMbeu7Fj/6StX/gg7b4Ax+3j3zoQfvIxx6ze+9fqbXlxLwiD3KtTimWH1IkH4OMH3QiTinlBT0CA7rP3r2ysYNyngf0XLtVVO6SHSnRutGgPF1rxMEnC+WEzhfgXGQPP5IiBzVDujJXfkahrr1NflqVA1ZKtZnrfM09BBc93gC2DvYSAwIL4AdZyf+8Dxy9v7R22LtN2U1agzp9diAilyzOE+jdYPcIZN7/QIr8ji3yZ+SDaV+x7pTeIlORMKZHI7IT+kclGs4CHBIkVyjtDeRVHJT4OsiAUCaz30nl8y6P+I5kmCGzZARCDEGccr9UELBX163bLjnabAtlqzhE6O6P36f9tdRSUyRPWsvMTHy+HLc3BFLI3HeSS/aKkl5KfP2nBj+jfSJLEkIrL7dA/mGerZPPyQE9ixattEceWaQ1edQzXH7t1+61j8mOP/ggGZF5kmVKEivd58OX8EOFkCP5EhBclHnyPQDXkIvoFPxh5hC99KUvfTeh8X7++O/1eDeILewD/j+EDIHbxUtyvCRxocDksmVF7ssT+HZyq2TAG14TJCVoUrWL7Eoyz49JrshioYchNikMTgKs2SNfrua4XndU++ewVcjP2VHOgT8jVlzY57o4hwBw5m59jvbjxkrhnUrJ+S7JwG7twT0a/KzWft/p+m/d2g2yBeny/9bJLq3Ufl/m5FZKCm1e5vAU9ikZT+XkEJARrmLk5Oi5XP0vX68hy5G+dGV6zS4rLBC+Ku21ndulN7bTnqXXNgv3ZWfXyn5Wyrcs8ZODFy7Ksoce2aCR7pVEi5fky38unMUHa9aCD6pkr3a7fSPQzYl8ufrO+Zu73BeA6IJcmB3FA/LPpfMSfvoW6S8IsTz53DQfL9is1xfKv5ee5PCqUEYvv3hzu+ajUjolRzo4xT7y0Xn2vvd91P75P/9lz6r95Cfvk/++ynVMcVGx+76xUgabBcbCJmGvPBiTqI6BqIol9ZHo4icjlNlDZk3a6NiEDQ2P6P2DCdtGk/B26UrZtcY67YUa7Zcqt5mQjawLJElTc5MdOLjfLl++ZE8+8aRde/y6nT1z3sZGJ6xDOPDQ1m321L0L7Oq//BXr+4VftD3ve5/Vve+XrfNf/qr1/NLHrFv2rGtxjnXnNtpAzQHb23nFhode0H191qb3f8EOSR5mDn3FZg7+uh069GX9/SU7sP8tm9r3aRsdfkH293H5ToedHMEuZWe1aD+S3CE9qPWhLJYyPUo/d8pfh4OgBxynHNLnjGw72rl4mSgte2jfs4OKrtCih3XanNflBCSZsiRJ3P/AetnHPO2jCn0WiQK9uv6o3ht0LIQM/h4+Xix5pA8vWVdgJye5aGDvgwALz8k+kbkvLMVrKZHkQDHwFP4WZFsVyQHlE75vKINEpsHw2ABaP5Cpxem59z+43D780XvtE5+8X3ZkqWQsRf9fK1wTSGPwVOwNHvEUmIm19TZKO3doLsBV9FqNLZV26H8xWaBUe32r9kGBbDk+RKbkl6bxSz2g+vGPf8p+7YN32a++/5PCWAvsUcnYiqWFtjZlu2XIP8tMn+Mo+A4QkUEmBqUnQjYkmeCsB9ne16+/ldB27/x4T4mtv/iL/80GSQunVlROBicIVEup0iTee4UUtEtp1PpGWbFimyapTE5ytW8aT3/3SBS9gYY1uYmyraTNuSumgvKT5/g/LDppn9rYW3GWt7RqMRt1jTZtvi6rb+yz7t4xGxzeb+P7Zmxy6rBNTR+x/dOH9fsBGxvfZwN7h7UpO2xb6Q7dS67uKc3JLEo8AAz8JCIOYCYqDsnFBlq3XiNtnZRimhxCwIJAQrZAwuYmCcCgnItpAYQTcsxC6Vdb82XNyTmrqT4mo0EUZFybl4iAlGNRl5RpkyvYlDXbpXDLbbWMGA0PV60p9bIz/k5dFzK4SEXkVBSO7SYbiVR/FDrAiJGtec7K3iPgvts2ZOzS60N6J83Fs7Na5WAJXBTwuRiDTr1HoIV+HQJVaQJUKalbbOmyjTIKa23J0rUS9g2Wk5dvJRKOispKq95NidgeCSXZWxBclCfOZXAlj9CUrkNC3WGtAgetbdT3NlnP7p12cOVSu/or77M3/vk/s6//D//MvqPxuxpf/h/+hT3/z37RDv/a3da3Ks2qNkm41mTa2iVptnzBGpv36HIJ1kP2Af3/wx+5R0K+zEvy5j2WYfMXZdqiJZts6fLN7gRgwDhCO3VtucZ2WyPnda2M2Vr9vnZdqdaxRMqA0x7KZcAqpQR2aW126WelDNgOGaNSGdpCy0S4N2bqGutt8dIUm7dglc1buMYeW7TOFi7daMtW5Wmtim3t+rIA7oiwp2uNMmsS/dKoEyeLK5TphAbBrANAT6NIAK6ww/IL6KvSKsPa4gY2a1OjpcvgrkuD1Nppy1eV2qKl+frsTHvo0TS7TyDh7k8usY99fIl98h4i8TjEO7TOjdqLXbaVJn7aa5yq5OnU1SFNfQ89GKRQw+lK4RRAwAClhXMnXF000tJpYEh/KV6PModw5hQZmq6HaN5efR8BzzwZnexmKeF6zYHuN3W79lGBHIp0J5Y+JtBJacyn7qFkaKnLVHRwyNwiGxKDGiJ3ATjcWvJbqr9L9HlbNWdF2rsFWpt8vRdSK1tOCimxKbZo8TLthUX2wIPzpPgf8CbKlJI+8miKHJtMz8Zbs45y351ObLLvsyQ/OXlaI807JaqBhAxgLva0Kysbsz/5kx8kNN7PH/9YH//5P/8/cvLeCCfVcAro6KeNfj2AYrJFILko7yZCTcSVDFecXko+ILcA9bE00bMlKCdOgEkcnjgAFGEQgAl98iDFyFriOh6AyW/QqJMNrNZ162TzWqRf2yWHe6U7OWlvRA7okGSzR0CkRfK23UmbNWtCfx5IXLK2lmgsXRoILuwXzd9T16RIxwEi1un1GzQo2yCrsVBOXJUDZAgFnEYIaycPZLtjVgyZLzSlpsSfzBBsFv0t8uXAZ25stPVrq/U5BEkqde0q6dQw1qzdqc/d4QQXxEYsVSSLi4grPZcoK3QdqEEQhqw4Tk3NympypzU/D0dorzs+HIjiJ/1qEOTCN4CUICOI7LC09TstBbJ/XpqcLnoWpdjqVRvcIUOHBHIrnGjnPZEaA8EFWeU2SzYKO+W2yu1Vp494UAWOPe/bs6dW60gj1Wrtj2rpohoBkDp9Rr30VpP0UaN+cppShZzTauvp6rOpgb12Ujrs6j132Wfv/kX74l2/YL/58V+wr2t86W5IrV+0yV97v+X+ygftrl/5qL3//XfZr33ok/ahDz9gn/zEQlu0IEPrnK/5pQcap13S67Jd+wIyjtJ/QA0Re04gPiQAckRjRoBnn9tfssr47vTIQFeuTl1vjz62zB56eIU9/Mga7+m0bFmu9kyhrZGfQRZGBmX8G0MmAw10nWTU+rBffNCPMtGTMgTUwvrl5tL/i+zwds19q/ZYo+wrp2TL51u5Tfuz0B6dt9EefnidPjdP+yaUXPJefD9kKgQ15w5qYM0DcAjtKCCtQrlvKPFNJrKInkOEYc/IzoqEFvJXWTXt8kp2BYQq3yNH9pVMbWw1hzKscCC8wR64f6l98Nc+YR/92Cdt/vwFAsgrPSK+QUCdnqsATwAf5bzYKnq6hVE0+3tRkX5637oC7dNCvadIeqRI1yiwlNV53mB7wYI0mzdvje9Zend+7GOP6jPn2b33rrL5j220Fcu36L7kJ5N57kQxGeF1mufQE8372UEQU+5LJqRnGgvcSc+Q/fbFL347ofF+/vjv9Xg3iK36xiNh38pfz5fNIHPf++Om7ZKPtUOgdrut8wAMmVut0o3dkve90nuJA7oElinV4jChYI+wTUdtt8auXRxUwsFEZA9z6ix6XphNPh24jKBEVhb7rkp7eZf0f63bp+bWAevtG5Md3W/79x+W7jliBw8e1TgifTTtegkSpbu7RzJcr3sp07U4GAFblCofNUU/sU1rtb/XSQbJNk6TjKQLp2y0dPna6Rk58s3z9LNIWIZTRGv13bqk/8etds8Ra8ZmSe472i9LB1yQzJ9y/QF4BkgH+9Aom7RLfmiJLVhUIPkuED4otCXLi23Ziq22YlWJrZLeSxUuWCd/MM2JO+EqzS+ZkmT1k3mF344ezKf6BbKBpAEf0nt5smGbe3VvZHTvd9vvvnXTGemkc7o3/Ouz1th0SnM9rdd26Z4qbNGiXLv/gdXCMI/Yr33wPrv77gfssfmLHFPm5uXaVulsTybYEw6rIJEAu0QCAcEXgjBkFb+9DcyY/85zEGCsw+CQfAnZom69t6Ozy9paQxk91yVjp7KqUrqjXHNX7J8dffLq6l128NC0Xb5yyZ555qY9//zz9tyzzznBdfL4CZscGbbpulqbWrXOOu6618oeeNSKFq2y4sUbrEy6vmZ1uXVIRw3Vn7CJ/qdtevKzdhAi6/Bv2tGjv23Hj/2urvMtO3niO3bq5LfDOP5Njd+xk8e+YceOfNUOHfiCTYy+av09N6y+9pSVbh2zvByy7Ft8bahIIquqZCtVKqECjAwrshcpnw0/x7QHGaNO/IK9iz1o1+Vrm5lJX2X6FhfJPmbYvfen2AMPpTl+Qf8iBxw6x3Vdv8qf88oycBQHCwgfgZXcBrVgj7BLslNe8kulC20oOD0zkSXZcE727ZQHPNkv8BoV2+Uflso/LJLskfGn/UcCTLo+n1J+DixbtDjLccxdH3/EfvX9HxG+uc8WLlwsWxEqzJzcSsJT2KmAp4rcF+LUa1onlZRCeM2NkpKtjrXIKuawu81bNmtvQyjnSjZzdO0sYTb5Do+usPvuW+BY7gO/9kn7lV/9hH3wgw/bfbJZSxbmWsrKElsvnJq+XrhKfkToZxcILu93XRBwFUExMsHBVNisq1ffSGi7d368p8TWv/k3/8EmJt6yfRNvOhM7Pv6aFN+TciJPSXkSoZZTXEbKd6ec4nop420aGO0qObI493J2Oep6a4++dKJsq5R6ZX15GD4mgLFNm5SNq9eUaFMWAkRzGmxzTo3eQ4+DTuvfO+7k1dFjp+z0mfN27sJlu3j5il2++rhdefxxu3rtmsZV/c5zV+yC/n/mzDmbmTkiRTGs+92lBc3yjC1AA+ABgou/41ixcqWEQA50aroAMsqgXptjr1XKiJDqTud/P6Wm85oc5ycTfYxCw+12To8jQ6bzCc3R0zaw9xkpKv73hJ/q2NB02qprDtnWbYOWLRCwVk7N6nVltmptiddpk8ZPucyaNTsCgNjAaYr05JIDpJ8bNNan77A1adstdT3/r7FNOW3azCMuRI1NZ/X5l62rR85h5yUZzpNWIUEt2z5hpWVkvfU4uZKRuVvfr8iWr8zUtbIsJ3+zk1s7KnbaruoqCSWlibUyKPUS6tDkO7kpnTeka20SMABM1Ds4oP9Eze4aq95Rbm2bMm3gvk/Z4fe9z574Z79gz/+P/8Ju/I//0k7/s1+yoV/8sPWvSLMj7f12fJ/WpXvK6iuHbPeOYa19rwSmxhun3/vAcrv/4ZX24COp9vCja6WU1nu/sIVSAIuX5kgxEaEJJYpkwK1cqbGiyBvZrkndrOtI2It2yMhjOCDmyDqjOfCgDEi/AFCbDPkeq6iskvDstNLyHXIuSm3DxgJbJmFfsCzd5i/dYItWaL+k5lvKOk6c2qZR5gcBrE3bKYNJVhipu7WeTgqTDQvPkd4IPOUf2ZRF0gOOiFOWlBmk5MZqzzJLy6jRoNH/Hl2vWka4wlLWyqFZS5PDQhnqHH33DHvw4QwpnmwZzC1uOIm8kwoKuYWzQqS6ojKeUhZ6BZGhwYELoZSKo40ZcyW/XqdOvTqZkyjgKjk/5VMyDKNSlkS86SEg5ye7Ts7HHgexnDTK3ly+vFDrkGmPzEu1uz/xqP3qr96l8UF78MGHpSSXOQiP5b5pMuYxGzJmQjLIxJobeVK2edrLeUbvusxsTq/bqs8UIEsr1eeS1UB5VK6uvUlyG8DDQw+vsnvvW2L33w/htU77YpNkVwBjzVZL1RySwUWfNEBOqOVv1Gc02SYBbZr35kM+FglASDd9/4//TULj/fzxj/Xxt3/7X+WIf8Wmp3/dfx48+Bv6+es2NfV5OYsvOWDG4SCogvElq4OIeEYGgYNm2bCY1RfLVoNxjqVZyQMwHcoVKCveK6NOWR3Ocp0c71o5E/SM65DuH7SRsUknJU6cPOX26Nz5S3b+4mUN/bxwSc+d99ONaAJLGQJEDBmMyA7E1oIFC3wsWUwW12LJX5AxCLDly1OkC+lNuNk2pu+WzusXCDjgxAFOGDaqr/emN+MeGnzZhjkhdW84TY6+RSEbhh5FlHURcQyjru6Mka3mGW9lk7Zlc590arOtW18tuZYekJ4KGccQXQGgkxWUJR1HQIaB3kA3btzYqHnplIOKDZ6RzTiv7yjbyX3tfcHvh8bg/E25JzqMeSfiymEo2dJB9KeigfGyZRm2atXGQG4VkpZf5iCBVHvS7umFFJt8c7odtisOyhZx+IO9qpdzT7nhLtu5Y1fIStCaFRW3zIIsAgXozZaWU5qjw7q//Xb4yDGt2QX5FhftmMDd2Lz5duJjH7ZrH/0Ve+Kjv2xPffR9dvHDv2Ldv/p+2/y+D9hd7/ug/eovf8R+5VcYNHv/mH34w/dJn9M/jQM2dtrumiY5yT2aA6L1+23f5Iz27VH5LcfsyJETdvw4J16dsZMnz9rJU+fsmP4mWt/T06t1bhCo2q09yAE+m2zxkhTjFL5HHl1j8+en2+KFWbKLBbZ61VbZRUp1KvS5IZOBaPHGjawVWcgE0er9MBCa3FN6n5UpBzyzSWsPuBv0Mt+qyoM+CH54fxD68six5fAgTv2j0TS97QgwcQ1I5FgG7mBcawu5hS8VWlJQnhiCMJBXocdqILK8J1DTOX8NA0IsZEeGDC1kEAIXMplAEiAFkoiDX9aup9RX/gHltgtC4/2PfewBe//7P6afn9D8P+qytFJytCY1Vfc+V+4LyUXJL0QXtmlu5Ov5zT4yMwv0+hL93KHXV2sOmCeB4ZwWfe9GS99ADz0BlzXlTmQtXJBlDz+83h7RWLIYO1ZkqSnyJ8iGlC9HGT33Hk93C8EyAANlimSDxyyuUfv85383ofF+/vjv9Xg3iK3J/a9Yb/8Na+u47JnyFZKNMvSewCEkiYPytF3SuZTXcYAQ8tQhv69f2Cm0eSGThUH2eejfSi9DDioh2DKp/TKpfTNuRbpmgWxUXj5BVXSz8FlOlf4nP7+p2waHJuzQzFHpl9N27tx5u3Tpsj3++DW7du26Xb/+hD3xBONJ/53nrl695q/DZkG00MMHsA0AJ4Nr1eqQxZWaSiCGsUY+WZr82436yYFIZGlVy9fslP7e5/4qJDd9XruFqeilR489AlMDA5zw+ITu87zwCf2JOL0RHTQl2acBf5fmp1mfsUefu0u4YIctXVFqy6WLVqRstZVrhK/WlbjvTnA6nRYwyFomeq/W7Qu6iiBXup7L2Cg/XvaKA71oV8GpfASGevtvCtM9b4PDL9rQyEs2PPKijQy/YKMj2LBnpLfOuT/OacJkyS4XNnnksTT71L0L7d77H9F9rZDvny48vEX6sEzfIxGUkc2KPY6x/WQTQ3KRfRWJrsHBvZ7RtXcv1TL9ITPLyaxua+XU3pZm4csGD3jsFq6pkl3bvmOn9lKJcA0lnhudcFy+coXl5udZT1+vnTp9Umv5uBNbzz33nD377LP25PXrdvzYURvo67Ha8nIrWZdheSvTrDCr1EqKGqy8tNdqtU97O67a+PBLtn/fm+5rzRz+hh09+ruyTd+Snfo9O33qD+TXfM/Onv1D7ZM/tLMa587o52k9f/q7durkt+zEsd+2Y4e/ZocPymebfNP6e27arooZy83u0nq0OM5xvbqlTX4NBFef8MmAlUL2y0crLR3Qz36NAWF0WvXQoqfL25BQUZMh/2PdhkrhgVJbsnyzMORGu+/BFGHLFCe5wI34LWTL0uYHggwslZyx76fU1oVT/5ppSdHEwUCyUWRyab82Yp9kv2o5XMuzJCk5POo2EnmE4KHneNHmHtss27BJ+2uj7ol2EKmpYNZ8W7yYrP01wjFL7CMfvd8+8IEP2733POCH/JCEExNwYoUZ1TBOcGGfhJnI4srfnGubt+TJXjByNXL8b4gsb1WRK7uVk++JHBkbN1t6RoFsTomuuVW2aLM+Z5ORSf6osPb994dWSh/92GP2yU8u86wtWkSkrBSuShWukk1Djmin4ASX/AVIefpa0zMy2CvWZK/0yKsJbffOj/eU2Pqrv/qPDhQCWPh1O6ixf/9bNjr2qkeA6wWSyRbB6eGYfXo+0c8kJYUMGr78bgf3ZEzwxQETZJx4Uz8acTMK5Tjxk6ihnJPc7N22OXe3HGqaoNFcb8KmDxyy4ydO2Jnz5+yilC5E1jUp2idu3LAbTz9lT9182p6+edOeeka/M/T3jRtP2fVrT9iVy1clXBf85AiYcJhsUmQhtebPn68F5UQoxmJtstW2fEWWFr1cG6ZRIGfAN3rtnlPa0DTnJhXxSevulPLtfsYGep/30xE49nN09HUbH/+MnM63NEdfCuDKx5dtWn/v3/8Fgaw35by+LqX9vITiku0UyMrVvKxdXyGDsE2bjAhjiTbzVinpYluVoqGfKxlyTlellNlaOaabcttktHC+j7pTyFG+nIC3VwBueOQVGxl9RT9fsj4ZBVIliTTwPRA0Nh3lWRuzBVLSCi1t4ybLkbIrohdSOUBhhwS7StcOGVzJDeriqKvbI0Gmpjf0R9q5s1JzVS4FVGJlBYXWtCXXBjM22Pi8BTb20Y9bn0bLA49Y47oNNtzQbGdkRC+fvmSnZi7bWP9FG+1/ykYGntV83rBWfZ/qXdOupCBTaCBPc00aa5IlxGko8yWECxZl2cJF2bZoSbafZrhyZY6cdnqj0aSxRnunRYaiW8aA+vUxG/f69Un93C+wecD6Bw5aR/uUQMuUgMUBfe4hAaIDtqtG4LVy1LZt3yuHoMf3LgQPJY7r0rZLUZbZKgn3arLwtMcpa6IUdIOcWQBDHBs00tKrnQBbo/Vdq9ekC0hnS0Zw9okQxGag9M6gdnz79v1O/hY7UOYwACJ4lfpupQItBQKxNPPjoAayCMiIpORRINyVMpkmgA+i44HgYn9Q175Hn1NTQ+p6OAHLs02IJkiRbyfSQRq2lwuRcdFohcX1Vir5q6hqs+qaLquplaGr65MD1mO7drdZ6fbdlldAzzJ6uD0qBXivlOJ8W7RoySxpPNcjiBKqDT4guTgimlR1jK1H8TKyNKR0ZTzz8vbIEHRKn9DYcZ9VEUXR99pOicmWPsvPEdDNbBGIr7c0AYeUlCJ9XrbNX5DpvcgWLcn1rD6cCk4j9b4LGBKtQ5qXqcpxyZQTk00fNkiuZjkxLfaHf/QXCY33s/P45h/80zo2/m//9r/ZzIwcpcO/ZUeOfGNuHP2GHTr0VZuY+Kz19jztgJlAACWKhYWcRkMWSp1kLRxIQbaR92UTmCTjhEyuMGKpFmVblC8AqMlkgTCtkeyQ8UMwAJJizA5GMuvsWSdCAArXBRBuYLNkm5566in//cknZcf0/DXZtCtXrtj58wEwYKt2S7dyFDdk1vz5j8kBesyzTRYsWCy7tVIOSZrsA70S9khv7JUjflD6mSytx62764aTV5BHQ7ILQ0OyCRojjOFXbVhjRHZrfPyzNjn5ebdZwW5h72WzNCanvuDzxvsoEaOfX8nWEemfFgGuXZKvHS5jlLyRHbNmLWAdAoX+XASSON1rr/TNEc3LBdmpJ2SnnnWSbXTs09LFn7N9k2/5mNj3OT0n26j/k1mK7iKzC30I0Z6VWWNrU0ts1Yo8S03JtEzZLU58JBpJSr6fbCewQAALmwTRxSATOfxeo+c5xa5Gr90th3i3HOU6Xb9Ff/fpf/utoeGk7MEV3ydOBg5xEt91zdUJO3johK/N41ev2qWLF+2AwEZfWrq1PfCgdX3qU9Z7373Wd/ddVv3+X7Olv/Sr9oF/9cv2K//qV+2XfvED9ou/+H77pV/6gBMrDz6wWPYiV+CGeyRINGi9ffv0WYe1HmflH1zS3nnCjhx+0o4eedKOHb2m/fCEAMMNO336SQGGa3bixGWtz0n5EWN6f6f0c70DmbzNW+RHbLDH5kNwpdr8xzbIr8mUY5pry5flSScX2OpEtjNZQ57hnCAosStkl2PHWDfKROkHQjYvZBNlF/Rr7BPoZF/Rn5GsX2SJbDuy/igjyZR+pdyXrD769pCFRFmqZ+1joyrpHRVKqSJ4gLSKmVzes04/abQbW1SQ7YX/AjlGdD70rqO0Vfp7Ez3E9mhUSw4F2HMrJMc7JRPl2iNbdS85tmRxqt1zz8P2sY+EwxnmzZsn+Vk4mw2Z4uW+geCixBM7FUp+2WeU+4ZS34yMQstI3yaZ3OWAi++0q2pa9vuYHxnvJZK6d4BNaemo9v6A+7ubZGvwZVauLJHMCkgsLdDvW7UWpfpcSqe0Buspn8JnDhHxjQJBvM972sk3hiREL332c19PaLyfncdf/vX/kvjtp+PxbhBbM0e+bOPSeeMTn7Hh0desV/5va/tVyfIJ13tklDvBRY84yRK+JBUYlPkWFHRKpmj3AqCn1QUnq+91MoZBtj2nAhYQpCTLST5s9iaIbHq1cgpho7W2DkjfTMo2HvbAyoWL5+3q45ft+vXHZZeetKdln55++mm7KVz1zDPPOPFx8+Yzek4466mn3WY9Lpt14cIFt1dkE9XVcRrrJie1li1b4vK1dOkyjVXy0dfKN9so/7nIq3y2Yq/kp4JNaIlB79feXg6LeF6++Ys2oLE3cQrdgHQxI5yg+oJ08ouySRrD/M5BE08Ljz4h3X3ZODmfQ47yNndrzvbIR90uf3BraAEj++G6b2250a+XNiP0vPNKGQJcOe26rxFh2hnZq3PCD7JX/c+5rRwdf8Nt1L7JN2UX3xKW09DvYLrJyc86Jm5rvejlcGThEUQlAA4+oT/YQ48stBWrVttG2XOybbBZBLCwVWBSgi7xlDsSCMgsph0Mo7OrQ/a3Xc+1+//ANvX1nHDYJPvWqPutt8pdtbreHq0tdq1Ka7/dsnKLbH3GJvnC64UfVtjCxUtsS2Gh9e/da8dOHLdLly/7Oj6pcf36dbuotZzct094YY9lZmy01JXr5WsXa6+1aK326d7OaT5u2vjIp216H+WGX5Gd+rrW/5uySd/VPvo9O3vmD+38uT8S5v4jO3/hj31cSIzz578fiK6zf2CnTn/XTp74tp049rt2VD7b/n2ft0GtbUPdGenNQQ8QEHDZlMOeb/KsRXRuQQG9Ihn0euqQfu2w/LwO7bswcjRYxyz5KBuzGrzVC/hrNQeHCRMsXV4gzJBvy/STstV0/Z8MMTKO4uEqYDNPFKiO/aJCIKZutuSXKhfZJypdCADuPqb5CRUvEMsk7RBkjIcMkKGVJfyYs4mM+t3yH/foc8i6btb6tepzWmQX6/RclRUVluo1RdL9ubLJ653UIlufEfEUQU8Irox04ShsVNZGyXem3qORw08CNJtkR3I1OBV7q57fIV1QJ9vZZTt3DNmuynHZLko8ZU+39nrGPfOdnlEpGZGdWpbrePvRefgTG4XDc/wUepJJVqdAFJdLL0l20gnK1HhQZhNcj66Tn+hxfO78Cwlt986P95TY+sEP/k87NPObCcDwdTlagIXf0t+/4YLNMZjNLZe18Cc1UWR9jPiXSpOiYNNAAqxdTypotaVn8eUDOw4bS5ScY2UpW8zRc9lEfNO3W0F+pe3e1SLnclgK46CE5oQE4ZzXAj9+7XF7QkAAUACR9YyU7XPPP2fPv/i8xgv2gn6G8YI9//wL9uwzz7kSJtJwVQ7puXNkcM04I06KHk4N5NY8gfJ5jwqUL0p35zxPAAcgE8iH43LgLkhpXbOO9ietq+Np6+1+1gb6pFgHX7MJAYOpqS/K0fyKHTr4VV1fwOrwN+SQ/o4L7YnjEvrjv2vHffy2HT32DQdfB6a/aqMjn7H29mvu7FHutTpluzaUwLqcH0A69fYMyJ3ly7dKAe+RwupzgxAIreteJjok5T868rpASAAKrM3+/Z/3nxMTb0j5P697v+o9LkhNhhQr1mbOFiBbL2ctLSPPG+NvKSyScG8V6OMkO0okQnO62KAu/F6p+6WGd7uDidJt5VZQVKaNTISgXkLTaM1S0kNtTTZaU20Dmufu4mLrkQIf7eu1E4cP2+XzF+zK+Yt28ugF2zd8xaZGX7ED+96SstR96ztMjL5he+VAN8vJ5WQYnG7m4ZF5GTIQafbgw+v1c52fOsmJUStWIuAFEtCd2ov11tbeYT29PR7pII133ySR8EO2b99xORJnNa5oXp62fWPPa7xkUxOv6XPfsKl9n9H/3tB7Xrex8U/bELXg3U86M0+2Hb16MjKbLXXdbluVKkdV67VyVZmTkqtTyhIj/l4ug1LuWVhr1lEW1649Neap4rD9DvLIWuh/3hX6YP8L1t35tLW1XLF6KUyaJpZ7+nifFDtNsHf5temhRhQPIE4jPzKsiPJt28ZxuaPGMbY7iTzsnLJKSqq0tzidijpyjG6Fnt9JHbocp60C54WbW62ooElz16g1bbW6+i7r6NprQyP7bHL/QTtw6IicsBN29PgpH0ckjwdnjti+qf3W1z8gA9soQL9dipESi7VOGHsZ1S09gmK57zrdO2O9rUvbIN2QKedDije7SoZACldAigyyRpydpsRJj3J6KPltqD1r1RXHbGf5IY2DGhyVCwmo+clt0/rLiMmRWbdulz6rQvpHc48OEmiAgExdVykDV+XEMETXBie69nhk53t/+OcJjfez8/g//tPf2NjJa/b0p7/4Uwcc/i4PiC3S4I8d+50wpG9PnJTjdPJb0rvftMOyW1NTX/DjmZ04kQNMKR5EFaVZnKgUso5wzpsEmkM/Q1KtQ7lC6HfIcxBgHNVOtkZGhhyGzQQCWuV0DxulYydOBBLkimwOUVEILAcIzz7j0dEXXpCtSoznnpMNS0RMAQ7YtmvXiIgHW0XUlp4JZEByqu1DD82zhx9eLLu1RnqPnhmUcvQ68Ee/t0p/dMsh7+15SiBBdko2moyovQQ9hl+x0dFPO1nFXBCwOiibFZxTIq7YKJzUb/m88ZPnjh79hmfA7dv3pgdlKGcmYr5pU6ucoJ3u7CxfkW8rlkOehFIr+jHh4EFcYHsogyQ7a1ROMdeZ2v/FQKQd/IodPPRVjd/w++G+CBR1CehAhnnWmJxNjlfPk5OYlkbWaLatWpmh37O0dhxSEU6KpLR5to+fQIM3+S4r19/bNTgJqEJzVa1r1TuBXlkxISf1uEDDVT/ZaGgIwu11B5uAmImJT2vOrgi0Hdb8CPxpTS9fuiR/5KxNyq60YSMzM612c741ys6Vp6y1JR+9197/S++3f/Uvf9n+1S/8iv2Lf/FL9s//+S/YL/zC++wTn3xIc5Ote6D0v0NgZtw6Oo9qfc7pc65rbZ6R7XlJ8/OG/APKOz4j4Pm6zRz6tPbC61qnV+3YkZfkWzwnX+xp/f+q3rdfwLBH+7lB37lSe7FIfleG9keqk1ucdvnY/A0ekV2yONuWkPmmdVq+nPWSo7oCkqVIenqbQN5uzWe75mpiltBykm/vC06Cjo1pXuTvTGj9GE5ECviR+QcZ5YSOl7XSM6VeOlkAKbPeZYcWCaG0Lpb7UvoRgjCQXARdCLiEwMthB5eRzPKToAXe2QMFXupbL1ms1brXWmkpWWv0Suu19o698u3oNzOuMaF7G9XfQ/pfh/bBTt8rZGSlyB5FO0UQZvnyFW6rQjCG9hRrXN5SU9faWsp9UzNt3ZottlGyji3mRC3uG1BOuSR9wgj09kMkC3zzOzpmTw0kxUEHOxDpRO8p7czMbHRblSZ/DiKRzBz69JCpj22nfCb2RgtZJQIM0jnonjfe+GpC4/3sPLBVp554+afGVr0bxNaJk79l02QVS++57jv4ZZuY/JxnBVHeRK9T8EexfDtK4zZIlkIANWRK5AAi2RMC5WAuej2RPECmX678oRz6/gpbATi98iMDH13YSkC6f2BMduqInTxxWnbqgl29AqF1Vbbnuj1z84Y9/9wzXp6GfXrxxRftpZde8sHvPMf/gr266bYtElwzM4ckb93Ss6Xu7y1YsMjmzVvkfSRpAk8lQma27JVkmWqSOvn39CaiObefiipbhX3p0+jvh9h6Wfb6NRsRHkAfk319QPME/jwy81XZJUrfvqYhG3bkN/T8l2VTpJeEJ3p6bkiHnZJdGNF3b5LvTF/YrRqFTmpQ8bF8JX17S21DWo1tye9xOUWPURLd33fTg0Dj0nkxWeGgbNUhrZUPfX74yd9f0Xx+SZ/7svutYGFO/yXjOCOjSp+XYw8/Iqy5UPplzXqtS450l/CK7BW2iqxj8BUZXCQT1DeEU3/jCXcNDU2yU41Wu6dJ+rFJ12+Wrm3Xe6T3d+/V+4asppoxrL9HrHrXkO2o6LPi0hbblC9/eO0WYch19tiC5cJ4wmO9fTZ96KCdPK319wzk83bu7BnN41E/UKWsbId030ZLTaE0u0n6eL90/CXZ7xf0HV+3qUlILc35zNft+NHftVMnvmOnT/++Z2mdP/d92ckEoXXxT+zixT+1i5fC4O8LFwPBdebsH9qZ099zMgyC65gw88HpL9vYyKvW0njOgwJkfGdspFwbsh/+ILTnyfbWPA0e4Ce7Ky+nU3ZhQLZnTDaQw+poHyE7sls4QTaeAETR1n7ZoJ5EiSKHn1CBQlBnp5NbZHlxqj69kLeVDclGQXCRwZU4xEPXrObwBQ0OneIzKvU8vYi375yWfp/S+4Sri/c6qYN8ZmdzXUjGGt0XWeO92tsTspsH5P8IVx0+ZcdPnJMuOK9x1uXx6NHj2ksHNc9jmvMOx9zsFbK0wE8QXQxsFHgrEF3rhA8huzb4oHckBzCkbyiy7MwKK9jcpHvba7skcw11J4WrLlpXO37i4/KzrshnPCfcTICKPmCDwpTdlis7xwEWYCgSKhYtLpDvUGhLliE/JNtsNdopcRgTPZeDvUI30YM1HDR0+vTNhLZ758d7TmzNCBAclmN71MFCHPz9dSnkrwj8vyYjftUdoerd+618x5BtLmyz9RLo5fryi5ZvsWU0S11LE+9Ejw6PDHK0NX2iquQ0lNmGdSVyVrZLiFvlRI1JWRy2E8dPysEXQLhyxZ19ottEEVCqKNcXX3xBCvcFe/nlFzVe0nh5drz00suuiAENvAdmGnILBUyEYmSE2untcnCW28MPLbD589ZYyqqtciTqtLC92qjjcpgOGceKNjVfsta269bW9pQ2AiWGL8uhhEh60yPbhw59TZv0t+1IIh3zxMnv2MlT37VTEvbTZ/5Ag5+/F1jqUwJaJ77pAOKI3nNACmJ8/A1raz9vJdv6PStr/sJcT5fk1A9OnVyypEDCXee1wDXagKTsc+IdpMiInPHx0dcSYOXzNn3gi7rml6WEAS2U5JA19kUpo8/I6XrWTybCgeTEPiI9gDhY2rVpRZaWkWvZuTlSfuEI7Ng0lUGzOgZ1u8XFhZojjpXfIsEtkvKsspKyPquvO2LtTfuts63HRgcH7MD+fXZw/5QdkRI9deK4nTtzxi6dP2eXLpyzUyeP29TEQRvsO2f75DQf2i+jMS0jsV/3DeDRd5kY+7QN9D5lTfUnnJlftGiz10hTK33f/cvltC+XkKVqzfKljCsE7Cjr6JJx7bOBoQEbHR+z8X1TNjZ+2MZGz9vY8JM2Ovysrvuq7Z98S4r01+3wQRnHma8JMEDc/rYAMOsIAfk7UjLf0Lp+TXP6Fc9eGBx53RqaHreikklL29hiK1bvsKUSck7cWLIsXyNPv2ss428pgBUllpYuo1nQKwU141l/3Z1atz6t2+BrNj7yWds3JpA3oXXb9wWPWkwKOAwLhHa2X7famlNWtZPGg5ywhlJutLWSIZQKysSjTNmh4SKZj9SjlwqolxF5KB1O1KUzhgUyh9whjw0MYejzNgkcbKmWkm6QM94nA75f3/eo9u9pOyeH59LlKwLnj9vj167btetPeMbJE/xkeEr64zJclyVPZ2x6/wHJR7v2RZE7NYCGeGBDLPkFPKxYsVIOxWpbmZphnGZKNBGwUy1jwQk+zU30VrjizRlDZuRN6++R06NBlqRnSmr+BvtfsqH+V2x44FX9fFHP8f8bUtKXBSiOa8+OWdamFie0Vkn5rpBcrZKSXqnfV6+BcCzX/yjt3Wm//08se+nHfQAYWsZP+oDkevOr3/xHS3JBbDkxI90KKXPy1Hekb9G5cpykiyG5kGkCNYB0DlaAdAFgk4HlejAdUlQ2SuAyPT0AS5yguYGjtVt2q1K2bJt08jY5zru0X/sE+qfs8GGBBaLfsjHJ9iqZzAIgvPLKK7NjzmYF4PDss895hBzAcFmA47ScT05Gam5u0edlSecttIcfXiFATgYJ5Ry9RsNUMluIMgOyiTRzYg+ZNXFAcEFqTUrvTR+Q3pNeQ89FAjDYq9+Tw/kHGt+zs+e+5z/5G7vFvLo+1Pzh5JMBRtlicfGQnJ8dkvU8W7Qwx1auoNl6kxMSZOG0Cbj09j5tlINChBB8CYQagOA3ZzPsICX56UEf6Vtsa1/fc3IGsVeHdb190l9yGqUv1q2TPK+gpCtD65WheaF0LNftUezjB9HFEdmcvFVYUGyb87bJAYaEbNZ8jcpWnbSuzmuJ+3rDyB4LmWsEqQBIX9DfLwtcnZJ9Pih7fdLJSsgt/IepyUnrowl9R4deM2C9PYMCHO2Wvr7U7r1nmf3y++62X/iF9zuxBan14Q9/wlaszBBQqJDD3G61dRMCdWe1Tk/a0ODz2j9hbULW3Fd8nlkjCNkQTCRoRiPeL9mhg29qQHi9qHu9os8/qHnu1X5usorKGjnWRVqTDQ4oH3pomXEQy0MPQXKt9XKD+QvStV6Zns21aCHZ6wWyJxWyUz2yU4e01y74HmLP0KvOs/oSROiBAwLjWrtARn7V9xJrCnFKiQYRbk5Y9Oa9Atn0skvX2JTTrOuTacIhK6Hvauxpx0laOyso86WsKpzQiP9FCSMBxsLCLsvPpzfYbsvLo18mR5i3O4k1se+gZPq41uScfEXKey/Lbl0VkLrq9otx/sJF/f+09vtRzfGkl/1wQhQl8kTCsVWLFy9xexXJLvzCZctkq5avt9Wr8yxT4KpIDj9kA74uvcG6JGuBQJZ89T+ndXhRciG7NKh9o7kju62rkxMdyUZ5xrPqKbnlb5oRN7dcEpA+4/ubk7IgFdM20LOWct+dTnJR6kupIrqIyPirr/74J039U3rEQEy0Vf89Sa53g9g6fea3Z7FV8DcZX5f/9RXbN/mGdffesPrGM1YheSyVnORLdtLlS9LDDjAZMo3met5AgJI4kAkZQMWA8BWlx2TQrlsrPVhYKRzTLV03KXk5YqfOnJaduug+HNjoqaeelN15yl54/lnHVWCqV155SfvtZY1XNF71EW0Wdgx7hm2D4OIaJB+cOnVC+kDYqWqXbEGqPfjAQumdFPnp+Z6FSMUITb8dV0mGaOHS3XNDgF9+3oD8O8lSdw+liC8IYwnX7HtTcyudd1j6z23WN6SLf9dOnviWPuvbsk3Yef3kd2GrEyfBYPLjD2OnCJK86hlhW7eOau52Sffle8N5Wp4sWpxrqSnbZSN6/OQ9+v5RJu9ZWkOvCicIU00GvYeuc5spnODDMXEcPPebwllfkF//gvAK5NaMfPBR4RZ0YKXbq8fmp9rCRau8CT/lzpRvxmbg4TRWso53CHfulE9epZ/V+nu37di+R/67Rkmj7SzvsT3V49ZYf1g+zDnplCdscOAp6ZxnhAXBg8/rdwJaN+TTX9F3P22VVeOWm1dry1dstPzNW625td1GxsZs+uAB2Zcjsr1HZFcOyD8Ylb2l52i57rHAcjbVWXXVtLDIVQ++k3AAyUcSx8yM8BKJGye+LR8l4TOc/56dS2RnXbz4J3bp0p9p/Ll0cBx/5s9DcJ07/307e/aPnAw7fer37aTwMJlbVDhBbrU2n3OcQhsUWhGsW18u7JPIbF1PlUy1bUirt9ycLisvnfBTPwm4dXY+Lr37lHTxszY49JwNDN6ULF2Xrr1gu+UjcXpfCJT1Sd+26Pq73fZRWUPLmLwt+v4lXY5nS8uEpWSD6Om1g5Lf7bJRGjSCJ/gDxqBihnZAEFpbtnTLzlEGuUt+4g7haGGr3W36/GHbN3XQjsqHOHvugmzTFfl24KonhaluSHbI3L/hSTg3nnzKs+fgKi5duuRBUg4MoLcmGX5kahGAiZhq5cpE6W8qPVhTZas4QT7D1qZq/bK0Z2SHOSmyvoG2ClflH9JrFVvEHnlW80RWP/L2tOziFe0r2lDEw/wOe/CJxvD5W/o8OSNtQ70+q8pWrCrXftqm+yjR55VZ6hr6W5MBucP8EC/5pidOPpHQdu/8eG+Jrb/+TwmlGyLgx04IOJz8pg8UCEINcTIiwN8hIF5ff9J2VdPXaVgT0WrrJdDLVhfZgmW5tnBprte6rlhF829K7Ci306SkCAivxSHdKcXSLmU2omse9AX1qHeC1MLRByTg9ENqoVgBA6+88rK9cpvyTVbAyeQWGyaWe8BOj46OSHFQ85ppq6V4qL8mC4Z0XhyY6pojVkcDueZLckSuW2fXTSe1Rl3AIbW+5A5oILS+I+f/u3by5O9L0UJmAQ7+SAL8x/rJ+CONP0wAhQC2jkspHD32Tb/G1NRnXBlVVU054ffoY5n2wEPrpAhzZazqnKjgGNXmprMOXiC16JlCWujk+GekgGNUAeeX6IUcY7LHfMhBlmI+MC1FL8eL/its3tlSjwI55BurLFXrsGZdln7Psk25uVKCmx0scGIQgybgeXm5AhFZMqY5lpUpwLClznZWjmuOzrmj19MqwNDcb8MDAzY9OeVreezoMSmvU3aaclKNk8eO2X79r6973Hraz9j4EMTWV+3Iwa870XRYjvPMwS/r/RA9b7ix6Gq/KOU+LEEu07ystQcfWmpLlqzSfWRJwZRbbU2tnM1W6+7sllNJmvWYxkEp+eM2uPeyrvGMjQ+/6nM1PfV5z647MkMjQ+1lrQFRg5MntSZxsD76eezkd7Tvv2VHtP8PyRGZ3P9lGxIwxigXFO2VQFfZoiX59tjCjTKWAhMalMUtX7HVS99w4PfUHvXIbk/3DRkIgRi9f3L8c7Z/3xfswJT2EEBT3/kIxpPvTubCxFs2pL3W3iwATqorZRi61mbPiNRa0Y9NgJIoHid/ACbzSdeVId0yW/JLs+YuyRalDDTDpBlwo2VvEkDIp4S0UXLba+MycodnDvkanT9HVsLlAMzlrLjcSeHivHhK+s0wntHfpKs/KaXMiSoQXCdPnp4FDhhrMrUAC/Mfm+8lVAsXAh4o98209ellMiJtbhggkImuBVKL00YAA09pvlDAlAO9aiMQyWPa58idwOchzdGMQNZh1lHzdkR7nnp9np+e/KIb4T4BatKHt5aMWHpmvZNayygHEfhesrxIP4ts6cpi++7v/XFC4/3sPZLJrdtJrn9Mj7/9L//NyZdIaBFMiMQMvwedK1k+HsgtSJ5AbpFVsV86v9+jTJQprFhZJGNdKAO+TfIFuKQ3kZwfGe41qSWWsrpA4KHYKGmjf9/U/mnZgKP6HIGFi3OkFgEYbA82KJnMSrZTt9srb+Sq9yBrXAMHhwyhQ4cOyWnrkQyXWsqqPEuTo5crmac8kr5aIcOGTNBwytxsH0hIJQFuSCWIE0gTyKNjsunM1ynpuTNn/sBt07nzc+UDyYPnwzz+nuz+t2Szftvn0Ms7dX0i3alksEo3kyVADxh6+AH+OwVcyPhhviGPgo0KpBaBBL+PBCHJT/6G4CKTDBtLaUpTUyBMOPkIsiMvt0lO7XZbsWyTbMAGASiaF9PPL/RICr38ZJ+ycmQ7cy1rY4FlZmy3zfnNRhYrvbzoPeYZWrKfDp5ky73dggeD6M/2ZZvcR++vQ/JJJmVPBQalH0+dPq17POZ2jVOpKMEZGxsXIBuV/zOmvURD6E7pu032ax+4z375lz9qd9/1sC1evEb3VKG12msNDYel5y7qu90Mn5/I+vbsOYEm5uAkwTEnHAmSfcfnnTnifwCskCUgkLH/JelvSmawMSNy3tvleFdpn1C2vtFPh77vvkX2qXsW2Sc+tdg+ec9Su+/+lfYAvUYe2WALFmzSHq9yIoqSP0p1AXeUYo4IWAJkILUC2RZKfcneJ8svgHECQVov6WD2GKdGNcg5prQeAEEJHf4LoJwsLrLhyeAKhwv1BKJraxjIICQzP8nwouSK0qtNAhybNgVCq7GxW+s2qn10QD5iCHwCzvHtAjighIoy30AqI0cMno/BTeQJ/49yX1otUHpI1taChYvs0UfnCYgv0Lwt0dystpXL8XN2G/330BPeazVB/PVo73umiZNa8se0n7zcl9KlBCHI3pqSPfLWFNpXYWjtGNpvyANZ9pQ7UT4M0VUqe5WVRVuPaie4UlLKvEca5b4vvfRmQuP97D2Sya3bbRX/e68e7waxdfbcNx1beWBBoD402ya7+HckU1+zqenP297BF62l7Ypnb5UJWFNWmJ5eK/AqULl8q/SefKxVnLBb5raJAQmwlkyKFNkp2TB6lBYWVgrYd9vI2IQdnDlsJ0/Lz5OdQhYCqfWU3fQm4s/ZS7JVjquEqV577RX79Kdf1fi0vf766/7ztddem7VZb8NXT1yzy5chkU9q7++TDqjTvs32/ojr1+2UTuo2ygSr5c/SazH2JO6ULFEZEQ44kc+H7hkN9opMtkOHhbHoyST9dwL7jm0XvnIyxYMw9HHi92CjCMR4trHmd0Z2BmxE4HP3riPSRY3SxYU277Ec2fft7ifvqpy2JuE8gsl9XnoYS/QhtcgoFiZxMitiYelhDbdZ+hzW7zi6EHJLGGug9zlrqD1nVRUHvTKigNYv6VXGgR6PPZYqm5WieVkvv51m4LmySxyuVChdSNYxjb85VKlMenC79KB0c0mTbGy/1VRPWXvLWevvvSHs96LukewpzZFXDMmuSp+4TtHvoVrnM/ouL2teaSNw0DZmVVhWdrHtqNhtHV09tndoWDo7NKXfO7hXNqnDfZqcnO3S0/VeZt2h/QfWHJP/Ta/tKeGVQ2A0bDf79hS+lnAt+PZC8B88U+vSnzqZdeXyvxbm/td22cefa3/8mf/P/YpzIXPrlPyPE6e+Ldum9QILow8HZfcbTtvm3HZLXV1mnPILd7BiVbF8jR2azwZhG7KQDnn/K+wOupjgArqUtkDsn0lKRac+Z+P7PqPv+Lz3catvOCPMEU7MJjCYLZ+FstV19F/LqhH2rbf8gmbbUthuNKKHYCODjLLfEv0sKez3k0ULC+KJz+2as9DjkdNFc/OrrKKqxbp6h/TZB4JvePa0vv9F2anH7ckbkrmnb0jmSNIJZb5k7uP7xWxIep/F7H0ILgKc09PTs9iKjOIQjCEow0FDy2yp9tWKFeku86wfnAEJAw0NkjXhqq7umyEb0kt9X/DsUHwz9AyVDAT5CMowRkZe9WDb+PintUdobfSyXv+cZ0KSZbm75pj267B8qxbdS7V00nbPfqRMMSW1VLi4VHvkckLbvfPjPSW2/vqv/z+ueG+NhONsMWDHg6M1I6cG0Nnd+aQ7NThIAHqAK5lbS1dKkSzKtkfnZwj0b7QFizZ6A+pFSzNtZcomy99S5kwxpz1wEtDx48e9FOPy5TtnasWoN2TWrPJ9/TUp36CAk5VwsvJN3ig4qYcPzzi5taemUcqlQpuhQYquV0plxOh/VV1z1Imt5tYrUr5PaUNowW8htUiH/brmhvkQeKJp3mkULITW9yW8EvALf2oXGDEN88L3A8ElZXBar+V9J459S47ib9lBAfYxbSAEOiO9XgaBHhHVXo5XXXXQGutpCnzJo/Fe1jEsp9jBPsotRHoBHDEKfuyIlPBRrd1RGUuykfgMGYrRkdcEfJ40mgRXVh4M9fwFbZ65lZq6WRtzo61dR1+kcKw8kc04cALXr8+09LQi25LXbNUyCkR4KTXBeOztvGQdTcM20DMgh52G//s1TzP6fodtRmDgoEDgPhm9nq4BKf+91tF8zsalNA8f+Jodm5GyJBIgB/ooqb5OUnzByajR4Retr+e67dg+ZvQe42TH9WkZbgyqd+2yxoYGa29rs94eGsWP2ED/AevrPmX93Y/bkIzVmOZqapwsLY6h/Q07epjTO7Sfj3/XIwZniDpoTU6haN82tE4ymMe174lSHNL97Zv8nBTp00Yt9gY57QuXbLIHH11jDz26Xve2xWio66SWZ9hd9P4kQ1Ii42Ov2ZQAId/r4H7dixzdo1qzY4BNjeOHv6HBPHzDZsjmG35DBvdJZ9I5OpboAamiNPulmTwljyh6wEnIMKH8o07OeGhoT3O/Tdn0EKrR/yukeMsllzu0t5ul3Ia1Hw5oDo55KvIVycU1gYQbT9ywZ56+6QTWc5K5FyRzLz7/gr30wothSJ5eIiUdAO7lU0TsAOFkcF0UIDspuRrV3FQZ9eALFiz0ct/5AlnLlmj/rCvzTC1q2omg4LhxRG5L2+PW1vGky1oP/Rb6ZaRGkDfKamW85TxC2pLBcExg6qQcjVNaj9MysKePfzsx5PgcExDUvmdeIQ6H9r4ivXRW4GTQ1q7fbUuWl9j8xZulk/Ls0YW59u3v/FFC4/1sPu5EbkXQQGT8H0M/rv/yX/5/Tl4lk1rJxMwcufVdd07R3RAzlAQDVskSIVUd+UlJLfGyuqVLc20ZPdv8oAqaUW+2VSs2Wdr6PDmau4zM0KmpSRnww9Llp+TIXZLjEuwVcoN8RFIrmcT6UYPXYt+CbCFXIRhz+jSliZStQZ60yE7V25b8DjnBQ67DIba8Cbd0DTaio52eSDfkrARSC/CM04vjSHYUWVpxrpifYJ9++GAesVtkIDtB6HP4m3Ie35Qeec6Jp8KCQSuXfiIDhUwriEPvqSXATxnbJKUkCYIEAgdSBN8ikJFkM387kDcJgov/k4VM5hDXo9eFl49uHXBya+2abXLm5EssSLVFC1fb8mUhRZ/eFOvWpWlk2bq1ebKlO+Sc9vgcQbSRXUNJhZMOsrkQDR4MEoAKNvKrIdo/RFPgSemiQd37pBzUI+6bHD16TN+BE8Mgtybkt4zKcRyQ3zMgm3rMmhrxgQ54ed+9967UPWZZbk6NbNew9PhJJ0VwLDm9E/AUyUb2ZVyXOBy8JQJiyQQtJGC41y/Z/qnXbWz0Wc31Sc3TqNaiWQCyUjqWMkOytJbYvfc85g3UP/LRh+2jdz1mn/zUMnv44XTNF+WZe+WoHvH9gzx4dt+IgKVH58n+/g3/LAisOV+QMt8wAHc8T3YZvlFvz7NORrJegAcywbKyKb8jS59ADCV24WSl/Nxm20xfDo1wyhLlVU1utzIyOH1zu0DDTn2nFu3lUd3LIe0N2atzZ92PC/L2hN28SWZkIJIB6C+8QEY/ID34f5EwxgdEPvEDsVUEUCn35XReIuGU+j7wwAJ7+KGV8r9y9PlVRnSf07z5PmS8U1rbLSBO+Wp/fyC2mLNY6gsoJvOP4Jm38JD/xX6+fd7C3EVCN/hnvI/eboCHbaXjtiGtzpbLXi2VT7F0cY70wusJjfez+bgTuRUH5Yrvha16N4itc+cJsoT9cEryfFp2iUEG0glhK7KODs18xcbG5f91PWm1dadkoya9FQmZ+gQRqORYLP9lySLZqSX5tnxpvi3jYCXt22XLNlnK6hzp5ArJdZd01LgdPHRIn3dCny1s5eWH110eIH6RjWirXnsNMiuBp974tL3xxhuzIxlbxWAMmVtcAzL52rWrkqsL2tMn5etOW001Jf3VkuF6yVG/UcK+m/YuTeetlYNLZKcguDxzq1sYQqAbvYjeRy97lhZ2AtIPOyH7A4kCvooj2c4HbPU92UvpypPfddLpqGzNIeG1cclnS+N52c1eW7Nmt3RNl2fi1EmuaQHS00VmcUhc4NC0qSkCHdgEsrJI5MA2SW5PEGggC5xAD8kM+hs51n3ic05NSAfqWnV7TlmVcCTVEhwuQSb44sVZ8oVX24L5K23lChqCb5DPsdHo+7wph8OU8o0T2/Pyyoy+nSWlnZqvac3RBen3G1rHV2wfASInmAjOS7+AFxzrhYGeRpfQW3RaGIP57O19wiqqwOS7hfV2WlV1gzU2t1t7e6cGZfGN0nG79PmcdLnHdu4Y92bpfT1kgpG9RkZzaLkzc0i2ilY7x8maw9eCWNRaaA3wFQKp9WcJUusv7KoGPxmXZzO3/tTOk/SBbyYbd0L7nsQZCETs4T5hvkHp15pdM7ZhfY2356EqhmoVeqJyeMme3bR1uSh7ekM6+AWvHvNy+QQ+9yACOFJrQsbfoZlft6npt2xIc9guOwfBhe9EP8S8/G5L51TotN22joqyjGphOA7DqXPSipJfWp7k5zCodmm2nGzKDTlgi8ozDnko9ywt2rkMj0xK3g5LnsmMPGdXH79kTzz5uD39dMiMfO65m5IbZC5Unb30Uij5RQaRp2ivSCi43V5xYibYar0w+sKFS73cd95jHIqXpn1dpO/SID9s2Mv6CZS0tD5uXX4oA+W+9KrTcIILUusln7dRn7fPJ+z9V7XGX7PD8tOOHSXQxpAMyL6TmXhYvtL0/s/bqPy6ztarVrljWra7U5+9S76ybNVy+kHnC6+dSWi7d36858SWG15YaQQYdpbyOpQGjhf1sWS1yDDjrMKQ9vbc9JMkiCIDXGkmtjZthy1ettkefmSD3XvfCrvnvsX2wENLbcGiFMvatEWgFqdlSEZ9vybuqK5/Rot4yYEypU/JypcNQHpsILRQvmG88cbrtyjgqIQjuRWVb3IU/LgA/YED01pk6pSb5eAJMGzh6PcRo1YXYquh6ZyE4Lr1SeEOS+GNS+FNQiLhtBwhLfabmgPm5Q+8cd65WVLrj4OAezqmhjPVCYG+8CdyzP5YCuH7et8fSgH/vpTiN+3wwa/ZATk246OhEWF52YQM04DtLN8nARdY0CZta7vspy5GBQyLjpKjRIDIwowUQ4gs4CzhNIUeM/RQQRmh9KhRn9gnUCdDUlt3RhtIYKGUU6haBAJ2yiEH0G3Q5qSPCzW99Eha6yPVf0oBb6rXht5vzY0X3fAiKEOw5Zz00qLnW3qsZ6BfczZiE5P7BKz2eWkgjQtbpEx3yeDt2jXqZOj+iS+4gj52RPd8hMgHyvq3nDCl8f6kFNWYHEbvFdZxwbbv7Lec/HLL3Vxg28q2ae1qtOeaXEl3dg1aZ+dB62o/b93tAjG9ZLa9JiP7WVfyRHCOIKzuVIRyUU7voDacNbnTQGmjvAOoAxhDbgXwM6q1am4+p33caI/JyXhsYb7RJJ5MiurdM9o/Z91ok3lACRSni3qURd/rkBQv2XT0riO6xDG5ZI/FQf06WXf7tOcgeuj1xqkblGtweltufqutpSmtABSNaVenltoamvql0Qi40ssYOOp9A81pU7fq9wKPAnFq2IjWZWYGQI7ipc/CFT8V5ekbN+xZKVOANTLj4OCll+0VyZADdA1+vvJyAOC8JlkB028hEsdkb3HwAATpY/OW2qL562zNqmLLkbEgUg8I9mytupPWJAPVmiC2uvVdBwZfsREp230QWponJ2xdyQIQZFDlTJzWOEPGiXQRJ674qSunBAAlj6dOyAGRXmJucU4mpbSJTNDwcWN2q81fWmgPPZZt90snffNbf5DQeD+7jx9GbsURSa6f1lLFSGwB/nFu0b9vJ2WwW2TKftOJFRwogGibgCpkDD2AONUI8L1y+RYv1Zo3b72XcD322HpbtGiDrV2zSY7QTjlTPZLlfXK8Z6QTQplajIAThEEmkA1sTzJxhT1KjoDHn8mvQb6QO4A62ScAEGT05MlTtn/6kPQ/mcbtkuUO6RnZB+lvTjGkcbWf5Iez5wTFs/p+0jnoG0rm0TVOakl+NA/MRyAAvz87Vz96MI9/5DqTawDGcR5pqEsJVkvzJc/UgijktDsIAKKoAP4xsoqTMn8oawTQE1mPZZCBtAEwhAwl/ArWiRJBnLImgRIikJRecrgIfQbXpJTY4gUZ9sjDq+zhhxZqvRbaggX0y1xly5el24a0Mp8jSC3Kmwdkp1hz5iRmjwWiDWddzpvmB0AAYUcpB/1Lmpt73Jmc2j8lG3tQ7zmo+dyv9Z+QTdor/d6p/dOifdGp1894phon0JaVDwmkNOpeKX0bE3g4k8hgC+CN7xVJI+YiEHzs4URph+/j4EuEoJjskWfPfc/XD1Acstu+orl9U/fCSZfHbc+eAfkve6ywaKtAcKYAQYrd/8A8+9hd99oHP3SPfehDD9mnPkn/wzInCekfwslP9JahrM4zwRPkzOz8aF5mgbg+O67X3LqFNeN+mFcAakvzVYEy2audk9qrAwIInKxZ4acFrl/HaYChZCFTwCAMgYmNkFlkR27T2pUIDFdaU1On5n9Ceyf0r3N7JVlDLsgo9pO9CMBI3kImf8JWJclTBA0ABvxAZBR7BWmMrYKg5HCBlNXrjOPPFy/aqPur8CxoTiQMPbVOe7YfGfMEqigrZHimwCBZJpROfU775As+bx5c1Lqib+bWNrSngKj0od95zudPsoCPxnvxpQf2viD7eVoAvNNSVpUJxOTr3n/8I9T/qT5+FLnF+Ie2Ve8GsXX+QpDfuCfOnNVgX2hEeTp+guxMqjnoZ/ycB/+2y+feUsgptQ22SvI7f0GOdN8Ge/jhdbJT7N11slVrbalA7qbsYqurbZG+GZZM7tfeOqrrn3aAHGyV/D3ZFxIGkm1VtEsRU33mM5+ZHXfCVrO26iYtX67b5cuX7fSpM/K1j9vw0H6rrxuwkuJ2D9Dv3D4pHSlcJX1DQLyJk3g5lKvrKevrp5cfmVqftwPTv+7AGn3s+FNYk0oY/PCYNHDBx586poolbkFHUuYWCC4wKqQTrUZmZAP3Se92yzZWVVHefkA/Z3R/p629jT6QZPHKVuF3AvL3U/2CbZAcg6fAUpBaslEnXQcmcLB+d3JLsg4RcPjQV2xCNqa95YrV1Ry3SvRfUY8HmNeklNrCxzbYg/cvswcfWOBZN6s5QXKNMBbBmPUcVFEsm9GgexvVHJ2S7/+kDQ2/7L0f0a2hhP/rwguBXDpx/NtecYI/fOoUhLme4zvr/2TWHtD3nph4XTr5uu3es982F3LyaqXsQ4VtK68Unqiwkq3bLDu7UPaCljPdHqBBzxGAYU1oDcBnY7+55gldmwxDMuRoCE/fLF8TrQFYFwLLyayrf5k0/iJkbl3+13bp4p/568/Jvp3W+5lPMvKwM3y//fL7wXzdXdc8A3zJ0iJh0WLLygZbYbMOepChveMJ63H9+6qNCuOxbsl2HaLMy33lqzC8x/VRMiK/qPe87KTP7t3HnXAt3jpkm3I6bF3abq3Jdg0OGthuabJTtH2gDQXl4GRmbczYZRl6Pk14K2V1sfBWifzHOt3PkGzntD77iPtr5y9QdXbZrj/xuD311BPS3/iGz0jeApcxW3UWcZVGlKlkbAUHEivOwGxTU9Oyi23aK5L/R5fZvPmput9CyxEup3yfhAt6QCJjnbLrlPv29sleyb73ar7I3OL7kxnpAT4ILcgs9jrJMGBQ2ftTjrW0zugq7S9v+A+fAJeg15OMMz7yqvzNx/0zs7KbvQXPYws32fjkiYS2e+fHe0ts/btAbKGAIbVCz6jvJQYKWIKt571US18Udn1Shr1PCgKDzLHQBYW9XrvKEfwLFmbZpz612D561wP2iU89aClr0qyqulqTTH8fgYSZGXcywpGzVwSSQ3p5zNYiCkftN8QWWVpveDSB8bqULmNO8SYrXzYLG4Vr4AjBfoZeWyelIA5JkY1aZ2evVQgsbJETWiQFHCILx7zkrJtyDtLLx2nO/kUZMYA2EWfNDY3z/HjTQGoFAU+QWhLwW8ef63kNCTUK+fz5P5EC/n5QwNo0nlUloYbcmhh9VQr4mqfPVu08aHuqj1ljHcTWFU+BZ1PCsiLIB2hc732+EGKEN6TLYhDC4HeiDUQdArl16PBveHompNRugREyFkrkfJKFxamQy5dvCqcrwQZTRrZosS1assJWrkq3LDmgHDfc1HBO90j/CFLxX/Jmi6NDz8vpO2e1DQNW09BsTW3t1tHbY519vdbc0WE19c1WVlEnhdopwTvumVSUlB3xshTIuBCpx6A5ey+nnUg/J8jQVLi374Y1th6zHVW9trW02srLq6ymulagrtFaWro9wt7SdMI62h633q5nbHDgFSlmzRORcZSdQESIjAPuQkQcQ+hGUgbybYN10v9YV4zlbMaC5pL7A1RgNFrbL3g0LTO7yWhIXVE5bbV1J6y5FeKPSJTmRwbCGycnAJ4bbimSuF7UqwdQh9OjcUIgXEaLtN9JKfoBGf62lquzmQsA8Zy8FskRhw5ssYWLczyqsXxlMAIrVxXZypWFlrIi39avyZdx3W5trW3aN8Pa9wd9/8dy3yec1JKTc/MZe/7ZEL2LIAFnJwJyBr8zeJ7/87oIGCK5hXwBQiC3OMUlK2OLrUvdYhsFbAry5eRsHXT9sKv6sNVJATux1S4Hh6gd5RxEEOTgQGqhV9gTESBgTElBP6f1APz5CSxaH1Kb+Z3/nXESAwcx9FZi3SkvGht7VY7UBdu0ud0Wylje93CGffNb30tovJ/txzuRW3EAHN7r8o93ekBsnUaeJZ/xRJ5kUoa/AyEQQAN6BkKByB4ZRU1yACCIKJ3yksTUbbZk8SZ78MHVslmL7N57FwlYrrbCglJrbe3QPhqX7B+U8xJkKGSPBKDttkrygFxEcB1lKBkkfPazn521WVGu4muRqyhTkGVc/8yZs9JhZBnvk0NGaVSHFRd3S3ePO/AGMHA8NTaCUjtPyU+U/0HWQBI5KZwgJgDWMQiTPFc/egSSkGsgj6GxPH1h3vS+Qnw29wBwaWu7LIfqKSPFncyDmLFFs+RZYgtnXPdyp+HgTq/BQfVMoN5nPfOSjHDIhi1bOo3eR6tXbLb589bbPffMt4/f/ZB94uMP2/33L7YVy3O1nrI5mheAC829Kc2gJxTlGk4qHQkkGyQde4KBzWFPtDSfkZ6leT/HsXfJTxnQ3I9qjOg6Q9Lp/bI3bXpNjeXlVVlhYYf8Hnp9nHeCEUfPWxpUz/jfBP2G5ICPU4aecL5D6SGkViAak8msH7YuPB+JWmwG90/GGcGqoaFntD+PWPXubttWtsvyN28RaFpn8+Ytto9/4kH7wAc+YR/5yMPayzlGo2nK6+iFRoYQpUBkggc79Zb3z/KAAvfoazWXTYYd9PIf3Qdyxb34muHHyHZPS9ey7vGES3quFcuvIpOYsrpVskurZJ9SUiil2mbrOFFzDeXrhbZ69WZb4/Zqh/fMHBub0H3MzMoa9gU7437hM4ly3x9CIifLFCPKVQQMyFYgtwJYqK9vsczMYktL22q5OQ2erUUfsJrdRx1ItZENKcAHcUzJJnMWe5EhA4FAJngGqZVMaM35GmFdw9ryuwPxxHqyD7z/Kr6P5h+5Qaa2Fg9rTqqkU76Q0Hg/2493Irfi+Icgud4dYisQwWFfYLO0N7QHgo+JnZKfKVki2HlE+4kg6l7JU33DeSsTNsnf3CM/vcaWLiu0hx9Os09+crnddfcCu/vjj9kDDyyWjKVL/9RIZ/ZLlidl6zj9EPmhEoZWE0GGkAGXH/l7UX6wRdikZFt1++D/yBbv4b1kSWKrsH/IE7aKRtiT+w4JD4xb5c4uK93a6/2JINLxYevqT1tD0yVr7+AE3xfk34eDRQhAHxae8QO4kKFEADqSWt7DyQmtkCzgfZxIGhDmYtwqV9JNslVch6qYAwd/3cbH3pDsPq3PPyfsc1I/z8qeXtFz9GYKPRe9YTztLoTHCLQHgpoEjzksHPAwxDR/fzeUkoJdZFMOHfiitx2hbxe2eZt8dbK2smSvVi0vsHkPr7FPfXKe3XffgzbvsXny3RfbshVrbfXafM+4qdo1ZW3tF738i1MzJ/x+Qj9nJ/sStvO07mWu4mSOKMcXopSd/YOfg++7b/Izuh7Y/KhsVatlbCyz9Wl5tn5dlnTuBluxgtLIGq2PMJRsWHc38/Gi7F2YDyf6Dn7VjkKqxc/XZxFsicGxiHspO3w7sfWXtxBbvH6W2DpD65dv2dHjwVdn7scn5FPs5bCas5aTS9N3sv46PZsMm0IALxCiL9qQbNYYSSeQb7Kr0W4FMku4UmvjWX+yl/wEE1A+D4nZrb1QX3fWONWQpJZNuR22Zn2lrVhV4vIVTgLcKpxVamuwUxqpqcXekmLVSs3f+gL5I3uso2tQ90yF0lHJWui1iizgFz71VAjAICdR1uAlkKGIq+KIdov/R2yFT4m9w14hv8jX9DSnd3ZZeobuI2Wz1nOXB/zKymLW/FnZ9UtG37Gu7lDy66eP9j0r2wyBG1ogTMvfOaQ5Z07Y49isEGyMwU+SP2TvwVsakTCGSD3p+okkj7e0T7D3Z23zlh5bvLTExifPJrTdOz/e+1LEE2xgvizCi9DgxDD4XUPPwWIf1UZnI81Icewbp9fCNQn0YYH8QduU1+xHQy5blmf33b/M7vr4Q/bgw/OtsLjE2js7JLjD2sghokAmFU0Nr1wmIscJiKG/T1C+L2ixAQuvaAMEYssJrc++IZDAuFX5/jBiKwJvFP2MAP74BD0y9tqe2k4rKmn2fgo7d0JMnLYObYp+Vy6fnhMcGHOPxoV5YT7OQGoJWJNeGQWcemKvK04alxBqFDGCfV4K+ByAS8YMhwbHWtc9dOA3vLyQJuKw/jVVx6xml0DLHhjYi16PHhROIEpQOGSlQGzNZmslhDhGv53YAohonY4c+4bNUA8+I+Uhx6m940nbVX1UAjFmRQILnOaQIgdzwcL1dt8DC+2T9z5kn7znIRnQle6AlpXQ7+uUl5rQFNWP4IXUGnnNxkc5Vv4Za+s4YlU1Xba9qsF2Vtf6KN1eY4Vb92jdW2R0p/1UwINTX7Yjh0hxJCJMVCQMFJyz91JQU9NfcGILdrl/4BntmUtam0NyOLvkvO+xXTLge/Y0an4GNI5YSyONXa8LyFAeoHUTkJgCyLiyY90AEt/2/RuARCAiL2td7jQwoNFQRif+5GkpSN0jwIiTWqhF5nSt6mruC8JmxmrrT1ozikXKF2LLyzs8U+CLAWhKmVBSF41mUCgAujBOnAS4/L7+/12fn0OSLQ4LAKRx9P6OnZya029Z2fW2clWpPTY/y0+OpOR33oJ0m78w3RYu2mCrV2YKkJdZq0AYhyYcPDQto3dMskZm5EWXB498S86c1HpeIIEsLclNBAghgjdHGCcr4WQFjKyiyFG+oZfJMe3RKRn4bttaWGP52bVWvKVLBmTQe/NU7z7iDg6NdDs6n7Q+7aVhrfO49v+UjNshJ7UEgqWHTp7GkAZAhTF1Jwd509ogc36ksA/+JwV8Dh2ludRasf8plaEHHc1ZO7ouW0HhgC1fudO++90/SWi8nz9+XHIrDoDDT0Op4lzG1pxM+56YHZGQQbYgZUI2UMjO+byXEwHwKe3jlKmMdHpGbbHH5q2TA/qY3Xvvo5a2PlPAt8GzdPZzKMaRIx49ixkklOMmA4UoP3EgO5BZt48IFJCn+FreCzmGzQKARHkCoExM7LOenr0COd2SozYrKR3wLE6cGXokAbbdPlCCKDkCIOPcQtrMAe3f1xzdmdTyzOKkcfv/eQ9gjGtxTXo+kaVCJhQ9t4gSMpd+ZDon9/aHbNVQIhBK25xkk977UcQWA3DHZxDFhZCCTOD0RydKtvYbPZvWr6PfVp49+MAK+9jHHrEPffBBu//+1ZaVWesnAeEA0+R7aHiuLBPSZkb2AEKL+4iD6DyBB0g6epZVVu7THLdYeXmtnOkma22jfKPDOHadk6vKyqosc2Ox9/xi7xAlrW84Lf1/yIMb7oBLt3HfoSQz9tOaI/eYxzmAENYj6LG3r03yQP+x3wFbEP+BYKSRu+xv23H5X70CAhxpninQlKo5WeCk1kMPrfXIMxn1lJCSXcbJhgTM6K+BXxFJSM8O0FoFmxnW6nZClJ9zshWCPp75JoeX74xzHZrKT+h+ei0zY7cAQbGf0kgT+6Wc1LiMkaWRIcCQZZs3b5Od63YCmf5ykFq0p8BW4dzfJCtSskFmMZFvot5RdrBJyFP0A5PlihHBeCS3sFchEHNS+/ig5o5eX3VWsIUs/j7POGMdG2hLob0dyn0vy8dlbz+XILUSwFPfmXUNPnMiCJMgAFnf29cweYT1jAQhPWfY96Fkmt4mnMT11lv/uHof/kM+flxyK453KyDzyruWsRWIrbPyU86d/56wg/yWc2RkJsgtfEBAuHQS1QvoWM/i0z4sKR0zTj5cu3anZCjHPvWp5fahDz9kH/i1T9kjjyySnBVLptsly6PSudPaS8cESIO/Nwe2QyUMflsMYib7esjO7XYqjoit5oitEITBj4wVMceOHZedPChbNOa2qqys03Uk1TBVslV7hK84lKun9znhBwj/hG6U3oE8gYwi8555wO8mWzjqHOxSKGubG7HM7RIElwelgy8IKHfCXTqScnPmEXsEyIfcomqlvvGCtbZfFw58zkuzCAhNEXzQvOM3OujXekViCzl1/JsYyCz/cwxH1tZhYbipzwoTXPcqi3JhK4JQeXkNtn5tuS1dlGX337vEPvyRe+yjd33K7r1/vi1flWu5+U3yiQ9pXq54Vg2+8MTkF5zo8Ywa6VX0Kz2pIB7QxZANXinEILCb2EPcExjwiPAg2dpcgzJGDhFraDjm5FZKyhbtl9V2333LbdHiTdJ7PdZQd8w6Oq5qLp7RuiTaCMhH8nug/NExFKQ9xMecLYhr88OJrZCxFRI8EsQWOk9rO0ds/a7j2P3aAxP7vuDBuZ6e6z4nhUXSy8X9ngFXu+eY8MxlrzrqJ2nAA+FfcMwAzuNghhgMD2tGlh32KQzHxtgpSDTZOnpNga3J4NtaMmSb5FesXVfh5b6Pzc8Wlsq0hUuybcnSHFvqvT0zbfHidFu1KkvrWqH16rXRccoPySoOBPKd5CySWtFOYZuQteSBbEWMFbEV2Vv4gjFzi4q2kyfOyL+bsZbWASsqrrX8fAIx4TAh9lxj43n/TgRGWmfLfW/6mtKDLCZYRFILfTRHZiFvc3YrJuzAb7BmkPDneM3p0Pj/2FF6b37FJve9Ll/ncc3hqOb42YS2e+fHe0xs/ScXogC6YfAQYoA9Iwo0ZQmAfNIIv+H1lwem3hIAf8FZ3x0C+VsKuj2Njyjdo4+m2qPzllpaeqbt3lNrfQMDNjYxYQe0IY5rQ5yR8xLLEONJAfTxef65WzcFZYhzmVoo4benzCYr37gxYkQBJ+nkyRN24OABCe6ohLjf6hrbrayi1cq3D2tjHDOaxvf0PWWDwy9p077hGST7PYpJan6iJErCAoMZGsWHxSctFlKLpnlXroYRmueF4YrYs7aCYHuUBiWkOXSH8CC9SwQUxmiA/aw11lOCcdR2Vx/zI3Ipnenrf9Y48SOchkiKKDXEoQ8GAh3W7ZsJZQyxRWlHUByB2Pqa1x1z4ggRAa5JvXFRIadFSPmmlQv059pD81bZxz81T8r3EVu4KNsKNrfb7sQJf9TteuNUCQrZVDh4lL5w3C6R447O8576Wr5DCmlbpxWXdHp5Rm0tx8re8F5TZGthxLwPBQLCgIRjLvQ9II64x0Bsfdro59LdfU2KmabPwwIdTbatfI/uvdOqq/ZZbc0Ja+HeZLT2DrzoZBjRjumDAjK61hE3UFJ0Hin7Q6/xdmWcMJREE2YH65UwlryGtUXIPQqk9zOvOLE4HSjHkZGXnR3fI6ULyNxTd1x76LwTNhHc7UsqVeC7UbsMyAbgoXBjFMgjdqcwyBDHv6fX0Svga3Zg+vM2PPSiKysON9iWODGH/iWLl+bbgw+n2T0CdZ+8d6nd88ASe2zhahnTIim5Fq3JkJyc/ZrbkJLuabJXpXwFFJ7ylPSbiUwTsiLnFG9UtMhUlK1kJZzs4AAWYokH0XWytg4dnLGR4XEZzC4rLW6x4gIytgDjUy5n9Z5SHBp30ph/DKcCAEwqseYXch0i8pSvWSC1XM4kPzgwsdQ3lP0StQMoxLWSnjorYyaFzZ4CpJGRMT7xutblupysA/bHf/KDhMb7+YPHT0puMWJk/L8XyXVrKeKcAxxHlF0HjU5skWVMpgulHl903QJQrayclsMXem2tXl1sixaky+lbKEdmlRyGHdbT3S2nYEzye8DBAg58JIcdcCcRWxFIx4EsJQOF5IFcJQNwJ7ZIRb+N2IJMIwtyYGBQTgtgoUUOX5eX9VICiF6grxUNrGeBAkQSvfuk+3FcmAPsTswaSR7YptgPg8Hft78mzOX3/Tpu+6VT+Qx0GyWJNK6n9I+oPKROd8/TgdRJOFOu+w6j+2KEMNzTncYceUYU90tOTEGUkAW1LdG7JDtrjxz0Qps/P80+8YlFGsvla2zz/imU2JFdQ+R3dIxG8YlsKQcs3MOtxBafs092nlJ/QElDw2npCOnYvFrbvLlSTuwuOf9V7szm5pYKWOZayuoiPwGQsuo9nLSpPURwAzInEo0A0hEOetG1vZwjQezdAg7uuB4JP0IjZiPEwTpEQgnfgcw25mh84g1935v6bCLQuy17U75xut9DD6+wB+5fpfvdqu/SoT0z5nuGDDOykCAlaX4+Lrs8m10HkEEH6/qzxJbu9+3yFbKO+D9g3MktzS1BHDK3yHZCtmhSn5/XahzKsGRJjvzBNfbww6ts3rzVXgK4ZMk6y8vdqnknCCM5O3RQ15qTM07kxYfDl5slkBM+4auyQ9ij6AMmy9bt8oW9AmhwjQjGTwv4Hz58VPt4WnuM7JJWzV+P1nLc15KSecoRG2lP0fa4ANdTDrw8uEgQRnvqiBx8QEJY1zmyMszX29f39hHXlPeG7LdvaB1+3SYkO/g+v/W1n/5+h+/l4yclt+L4+/TjeveILYKrtxJbIfOcnpAQW9oDAuD0yKUlBWT82MRnhFVu+l7kkKv0jXu8oTaliHfdTbnxA9JJ6banpkY+J5UwE5JhTnU97jJE5m+0VWSAJBNb2JxksJ0sQ8lyxOD/vC4Cb64R8VUyscVp2UNDI7JLXbZzZ6tsVYeVbBu2KrJYmy540Jdm1rNZovL7yJKiJYn3cDopOZJPDEaKSQNUUgQiK+Gj+0iUuWnMJg54tUXUkb8fbL50EhnDlJqjl+jxVVN7SjjllO5nLggdCKXPa85Dn6+5LKmEvdK6RQyMrLrek7yih49LZulFdODAF2yg/xnXGQRiSkr6pXebbWN6pexTvj3ySKr3PPzghx6Q354qPV3n2cic4tjT+4xXCbkv7FlInApJlVAg2AKpha+T8IexH7OD7xz6inKvJDkQ0Mfm7Zf95RT9vt4nrL5uRvazyRYu3CTdS+l1le5zXDbztCemUJaO3fYMNoJB0nEH3G7G5IBgu9zf4nMTNmEWSyWIrbA2+BOJ9dH/oi3D7uHTQzpFYguiZf80QRr8ste1j2/KjzgvX4fAyIATW6EvmnyLxHqNjFK9FAjAW7OMo38BWUMpK9Ucwm/6m952EJFxrUaE8znFmZOBqdrK3tRgqWvKhHtz7KFH1tn9D63WOq2WHV3tNmvx4rWWm1MkO9tug0OjWqdwiBAE8qVLwSeMmcXRViWTWsmYKspalK3bsVVy4sBc1hZ9V4/pu+/X3u23bWU0lu/2E4V3Vx+1xvqz3haqsfGiNXufrZvyC+aISsp9ncvAB9IeCXsqZI4GuxWyI1knx1mSKZI8op1izZHLYPOF2XWdmUNf0bWlo+RLPPPMbya03Ts/3lNii1MRESScGhjOALpvJ7YCwGcTBWLrq3ZQwH1i7FUJ9VMS6hOetUU/DE7qWLR4g61clWal28qN6OegwPY+Ts+bOayNfcrOnDuvTR+Ub9wUt0cVbt8YYXO8ndi6XfEmbwoULxli1J7TtL5LgGVPXZsmt0sbm7pweiNdk9INBNKYnL19UgrTAsWkSkaCxB09LS5lUHOC/acSYDmkTmrNsdZR+TqxlWCs2RykIWPgvLRD1/UsJTmERA3IhGqX8oXU2rnzoBTwcWukbrYLZxniBmed7BaIgNA/igwXsoluJbeo2UdxUOpHnfFvSYH8phM+E5N8zvPW0HjGvJFeXpttyNhlq1OL7bFFG+ye+5fbfQ+utvQMKb4dY5qbk35PKF8c9sGRV2QIPm0jAh0jAg8ACHpP0QS1t/cpvfaSNbec894jHH/N0bFk9R2c/qIdcSOm+z0WCFT2GcNJOM0F9dD79bpZYqv/eSkzAMcprdOUjEWXjGWDlZX3266qg1ZXe0afc9WZfFK3vQRG+/GABA4gw+mGxyGQUHIJMjISkdEwvm34esUUZ60X2UAyKjj6KEZYf5xPoiGDMtL04aipOWLVNTNW10hU6qqDu0HNx5jmKJz2AtHGaS9SwAliK5JaYfA7yhcHl70hGdNriQRNT7+l7/ac9+/aUbHfCov7LTu7wTiRgmOM7xF4+dBdj9jH75lnqesyBDDrZKT69bn79P5Q+332bELOrl2zJ+SMPC3ZePa5Z6R8Kfd9SfI112vhdgWcPJKVbyS2InlMFJxIO728KDXu7hqwqp3tVljQJAPV7cRWTc0Jj07hrA1iROXA01cLAzojMM56HXMiUkaUCEHCiM4qWpyY6ORouGxpLYPhBIBTroh8QcATtfum5Ovrkq8vu9Gk9vwv//J/TWi8nz/i4+9CbsURSa73sh/Xf/kv/83tEOvMesfU+GiEowOFvo5ZJThoBBEIDEC60FS8WaC1vHzUcrLrbd3aMlu2LNvmL1htOTlbvIyXbC0axlM2f/x4OLn3TsQWNieC6DiQl2SgEAfPI1/IUXytE1sJsPDDiK2Gxg6B7jYrLgY0TEonnjUyg9DJEEAhQ4rMJIFtAYXgvATCCMclzk/yQN9dla2KA3m60+uY0+A448zLGZW8etaWdD+n/TXqXigzdlvR8bicU3ptveoOsjexd2IrgoVgR+804vUhgiDE+Az6GZENRpYaJCS9SzjWfvGiTHvooTW2ZHGBbaUh+m5OCrziBAQldqF3CtlaAk9uK4Od5PpxQGxxCiA9sMh6g9yqkw9Tum3Q8vObLT2dgzpKLSWlwJYvhzDa4rqXkj6IPC/pL6Gh/7TW44ze/0Q4YXAkkQUg3UbZIN+d/cp3/GFrwUhejzuRW2el31y3Ydv1fbi228vxT2vO6XE1bBs3UpaufTw/zctr6RFCyQLzV8ehA03nBWTIvg4EZMhWmDvJj3nCjwgAIQYX5uQrjDlCBgeZ1yNjMSOSXlRk2m0rG/WTpFizlJStNm/eOrv33iV2990P2f33zdfcZmoeG2x4aFiON0DhiK55RnJ2Qd8/BDujjJGtFfzBucziaKd+mJxF+eJ9yBfX4XTf2J7ixHGBcX1u/8CI1r3Hs0y2le319XVyS/MFWeknR2p/3NorLQE89d2ZJ+Yj+oS3D+8LpLW8fT0ZvIdyeoKdrCt7kpJpTjn7nd/5twmN9/NHfPxdyS3G38VWvTvE1nfkG33b+4OeIwNSe+WCMMQFyRX+Tci4SSQNyDf2PSB5xNen31Jn1zWr3HXAcuSrp6wtl43KsPvuX2KPPbZc9qBUPnerZHmvdNk+yWDoTUcw/3ZiC/uSTGwhG8nE1u2yFG1V9Pt4T/T7wGlklOD7BWLrmMsS/QnbO9qtqrrFqzVKyoaEY45ZS+tVYQj6I4W+ViFbKwS6IfNOHpddkM65vb1AyNYKZH8yviIQM+sD4hvOElt/JFkKma3oe3S/98eVrSIrifLOXbuPO7nFPXX3CNeQucrJiNKDEELYH7cVrgexV4G4dn0n7EbgNFyfbNVvuH07cPBLjoPa5d/uqj4oG7LXNm9pERbeZWvWFNvChRu9hPSTn1ylv7d7Rit9dEkYoEdhqFzgxN6YrRUJpWRCNJSu365Dor/jtkH3FUr8vqb1+LKT5EN7n7fO9otWuXPUPzsltVx6ucM49KRJuIIT7ukdGIgtspzxJahWIiCfnMFLxhiZYnP4F53m1S7JxKOvSyS1khMF5vwy5xGkP/FXaK9Ds/pgh5+THb0qvHdQ9r7fdmwft9oa2famcDqtn6KZOGRqv/x6gpWxvyHfHdIMTOUkIJhPI2a0hSDMbyfIrc87uUXgDGyyRTYSW7lydbE9+tgGP1H4Y3c/Zh+761HJ2kLZqiyr3gWBvFefjU+InB2X/JKtFU6WBwu5vZKMvZjgL5CbHyZj8W/+x4gchturF+b6hMfknKOSscmpae3jUaup7bWSbZQiDlul5gpsVbfntPzEC5I/kitCvzQCMd6eIin77hY58yoYbFTgMiCK55I+wvp5TzutX7BVQVd5O6Vj+CC05/msvfbpH7938XtLbP3gP8mxiD2bvuUAm40cMrdCthbODsLOa2gqx/H7NBSbkNIYGnpOG++yp3J741A5nytWZlv2pgItQp0EuMeGR8bkRB0QyD9qJ06dfhuxhaKMjgwKNCrguDmSgXfyuBPgvrVGlejcYQnPpMDKoBRaqzZDq5XvCA5xcxNpjtQYazOMhqPKUXIItqc5SmgisUXTeC9DTAj2pcs/IbF1/nsStCDYKCDKryCqJgQC+OzenqflFJ7Shp2ynVUzVttw2lrarmozP+vEF+UNsNvej0j3hiMa1gyyaI7YcsV7IkRSIcD4HIi6fVNvSXm9qu973UvoCgQWNmbWWuq6clu4NNsenp/ufZtgg2trOBL8nAzrE4nPJ7rxahKxFcitODgqdHyCqOYbnkFAfxFOW8KwUDrh5Xi6V1dAUpT0lgrEVmgkCPlDoz+IRWrwAZ8o3fr6kwIP+3VPA95rhSgQWVINDeesvZVo6jNyAF7RvHxWToeM04wUMtFUXfcEQihhPIsToTV7R2LLy0gDWRKUcSS2Qu0+jSlx4PdPChBJcXAaGcRb5a5pN+D0j+IUDhqAcowqe4nIOhlz3FNQwHPEVojEhJ8BKGhvOMD7HRnNr0mBhnK67p4nvQ9c6bYRy8tr9ZM5lgpsPfToGvvI3Y/aIwuWW2nZDslgt5O3nDh67NgJZ/ovXLhkl6Qcr16/bk8iY88+I+X7rL30cijrSCa2kKeocJNHlLMIFH4YsRXkbJ8bgPq6djle9TJQgPH9WkeBv1mSNoBx0pDJPpwRGD8qw8OJKac0F2c8khCiCE5sIUcoXF+jEBUKv4cMrrBeQb6YT+aXsunDR35HchxS0tmff/WD/z2h8f7+jxc+9xt24PzT/yTG1JkbdwQDP8kAOLwX/bj+9m//mwOASBYgN+wVSAMAJtE6nschdWcGBwrnU3uN7FgIcHQ9Dc+JmuYLMIQSt2xbk5pl27dXWndXl426HO33PR1SziG25uyVN7JO2KoIFOLAHv0wOWLw//ha5GnuZMTYY+uMZH9GOnTC6J1S30DWjWxW+aAT6Z4dRZ+kwZfkUCeILUgkSBw5MMnEFs4+9uf2gfxgqwKZcueMLQZyxRxHktAz32QfaXBLdhTOPEQPx2qTtYoD6kSA5jn2/IIIiORWIE3enrkVCH2iqhBbX3VSimvwPcnaIgMoN6fJG30vo+H/ojxL37BHjulk0C046L3PeAbbmOxPINZoYB9KxpJJLfRrJLbQ0RBxA/3P+p4g6l4lp59DO4qKeowjvvM1sD2QWJxAVFEx7aQWhFENwK3l4ixZBDjguk6AJDLFsHnMYfQbbh84kIC1SGyxHvwdgQHDiS1ska7lxJzsvwdZPCPhOQHck9K1LZaaUmTLluZaauo227SJhvbdfp/e6F/2vLWVk3vffoqmE1uzeyeAuVCKOAc0GfzuZIwAF+uGPXMZmwlgijJVssKYK1o95MkfTEvb6Qc03H/fMrvr7vttwYKl8nF2aG17bWpySjaALP4T2qsAck7Ipofd3EFCEFOz2VpJ8pUMxJMH/4syhmx6RmTCL4zE1jEntvbrfkcEpvoEpjh5lH5lnER10OgHGfq1hUMR5shK9nOw5ezloH+QsbevrQO/hN1yoCdbdvtr0F3J8sW1yX771rf+OqHx/v6P3/r2H9q09Pw/hTEpW9U+Kb/4Djboxx3RVr0TyfWuEFvn5O/Kd+Twm3Py+c5Ldi4AKoUjIAlIHgjtKEKPUHx1qkXABFRY9PXftMam066P1m+otMVL6ImbahkZufIJa+T/chLioPbMpPbmnYktsNWdiC1k5E5+X7RT/A/fMNqpWA0DTotBGGxVTBwAX7W2tVlVdbP89E7hwQmrk3/sh3L1Py/9yGl2iV6Q0vGUXjqx5ckUc0R60DeJbC338+6AryKBchuxBWZ1/CNZwh5OC1NM7PuM4xd6u1bXnLCdlfR7DYc99UjvDxKMSASHnCwBVyXILa4V9CH6joPVQvNz1grih+QEWpTs02cMDNy0PbVHrWx7OH0+K7vG1q7bpjXLtYce3mgrVmyz0pK9Xr7f3qo56dWc0Ayd0xm13nNVQr89W70AXvQsvwt31jExqIuuhtjh3qJtoKSfJvkkCNRUH7SsrAZPPCkt2yu7dVj2WviOpI6YsSXdHcmQEJCPmIU5kD247dA0Pj8GnqOPDjnihIiPoO94vZOOZCcm/DISBbAZEFtT+GVjb2j/vCCb8ITV1h63osIBzdWQVUsXNxE44j4p2Rz+tL4X/YvDabTJxFbYQ5EcxSfU0P2CtWLg7Khw2MzMV2z/1Js2MvSi0Z+qtHREtrLJ1q3f4fJ17/0r7IMfftB+9f2fsEcfXSxbv01+TZf8sVHNK62U6GPH4SYcJBTKEG9PzEnmLpLlK9lGJcvb7XIWZYysSE4GPnrsiE1OT9neoRFrau3THmu3raU9nrVVWXVYPph0YgtBq9hXi9Mt5YfIBzoijIWNDnMUCMpZUosedlorcFTAvxFjRXIyEZTReqOvnNySDFB9FKtiPvu5H7/Fy3tKbP3VX/2fxkl78chiGll7Iz8nuEJJh2+MhECTKkl/KNIdwyl2z0nBPi6hPmybt3QIKNB4LVcTz8lszdbT2yswOyaQf0CTcVTXSia2wglToelawpHRwt6ugJPJreQRNwSvj4oXRR6PzaQ3CgqfshIcKaKE5eVtcvbGBb5PJWX9BEcvnBwwx1hHYsuZcy3qXJpscFxCCcGfJxRvYvjmiIIenNMg3MEhPHGSeaQ3BVlKKEUIJ06zeNZa5HhSNrWtbJ/toi9GM2z1k3K8X/DeTRMTnxewgK0ODhblhjHCANiLg413FIY6QWzxORNygsfGXrN+KeC2Nj5nn+XktUqgA1GyVIAhM7NWczNm9bXHrJU+X103vHSMkg0vQ9R9cq/8xPBypColnMMjlKAExp/IJkIVgA2klhx831exDppyPPYTKcMYiG/oHgMBASgZHpZBl7LtaL/iNdbby8etcAt9RDgFatKjqZzM1dVxI8Hik80GUUJ/rUBsoeBPQsxqzc5pzVDEl6SEbyW2IkkSiRLWLKGQEeRkYkvX8xNXILakVCfGPmtD+uy2tsvOmu/kKP46KRcyB3pDVpKngkpGEH7KI1mPOUMJcHg7sYUxQwFTv8+plqRSD2l+2zuuClAd9Hnw8qmUYluwMN0eemSZpWfk6LMbpPj7NQ8Tvt8dKJw9r713yS5LOV6TjN14WmDhWZTvs1KggdgKJ47+aFLrToo3ZpgkE1t8LhlbEFtNzV22fUe7Z0DQXwswHueFlGcvG5UOgdg6rL3h2Vr6/qc9OiUjrvmn1DAo3Ln18oyGhHPjcqb/hyw71jiUjwbA9W3tfbIiAVxfkvx/2n7wg3+f0Hh//wfE1p2c5p+PABz+oUoVIbYoF8CZQX+gR5CdCLTDSNgr6Rte66DbSYDPu+4C1OMoUUrMyTL02UpZlWc5m4pkw+rkcPZKdkPPEogtP/UmkbGFE8O+fzZhq3BkILeQjeQRHZrb5Sd5YN9e0nuRJUjix6897p8BODlw4ICT1B0d3QIwgO5OLx9A93nmY49s1t5osz7n3w+bgL7HcYxzAdkX7VXyCM6MHJnESCZR5kbQgVGecI4o7yBTiB5PZBSQJUX5WUXlAePERqKgXuo2/IrrZBxsBwtObiWDhVvXi/Xk/ziqvJ7vQ38IyDMiy9tKhy0/t9XS06tt5aqttmbNTiso6PWywEZ9PmWI8WRGAiteUqFrBMKG0wilY/h89o1+Z0+gm7lH3xMCPm5ztC/ouYVzvXv3YSdodlbs189wWt7u6iNyuEe0bwIBgmPMe8hUC9lan9X8fEnX/03tvWCb+b441/gAb59jdNyfJwitMNB10W+IA50YbIScSoIsrAXBKtkHSuO7e65rLvbb+vWVtnx5oa1bt9NyciC2Or0UEXKQ0zRbyAL3UxETLQ4o2cTf0VwxJ1w7kI9aF3wez0bivtGvoQyRXjZx7ZCzsG5ycuVEM+8AFHpU0QMkP7fN0jfsshXyL+jx8sAD823jxmzNW5PWasj3OdlaJ0+SrXVR3/txlzGILeQi+oPRF2TgDyJTyWRW8kDWIrHFSA544hciy5Q9Tguk0Juou6tX692pNW3zslfmyvvGebaW/K7RmMkQMgCdKE0iAN1eJa0VAx8C8B0JSy/39TW9ldzypsoJ28/eBFTT+Ppb3/53CY33939AbN1JT/98/OiAzLtBbJ07C4j/XTt9gqyt79pZ9osA/tnE4EAqsBb7yYmtBCagcmFI8tnX/4x8SnoATgp819nKlZul/zZacXG5NTQ0Wm9fj/YnpyHGTJI7E1sRdCML+HBRnpAVRvQBGcnYCjlyO3UbvkJG+QzvX6zPHR8fly3os7q6FoHtZq+soA8th7V4ZpJsFX79+Lj89Cn6L8omzJCx9bu65wQpId8tBqGRk4vgJ7JHpA8jtkr21/EN53y/oJtixlYIXgSyHbIGXYf/2dB4XrZqxqqkxwlE08eYzGcqLKa8LDsGiIK9oj8T9vSkMBWD5IGYNEBFD1le08IdBNaHhp6XXjvt+jZ/S7tlZtXYmrVlfuDTylVllpfXYdWyV81NF6WDn7L+Ps3J0KfdXmGLyNSjPM+rhPhM7RewQSxfxSdO1h2M8xchcEiYCDoZ3BOCQ9LF8rGHh16xnq7r0m+HLT+/Xfi800uu9wjfkZHqpemye9i/ZGLL50GYjO95XHg1kvhOPp57O7nlmEkjkPfh9/P6H/qNNfXMKb0/rE3Qc34aPuuDXzb6hq9DT/cTmsMz0sOjbt8rdkxaA0SgcBbZwH6apeYLMoysP+csWKNEwgDzQNuZc7o37o/79M+GPEbG3B/kFP4v2rjWvK/vKWGn4x6EycissRWrCu3hR9fZ3Z+Yb3d//EFL27BRc1cnOzCguZnQeyn3DS1eKEMMPVd/8qzI2zEWr0uWM+R1rtyXjK0j0gtT2sdkRfYJc7YLD7fKLxz0oCLZWl5ey6Ew2Cvw1X6toXwpP43fg8FzmXeB2GK9EqSWZA0bdQt5nJAxX1v2GnMpGXNbJTlgDSF2P/fmnyW03Ts/3lNi69/+2/+ozYyySURXBQipe/YjH7URfTNKYGhWTppkAIu/7gQGztzA3mflWF3V5B63ktI+OZ+llpGRZzt27JSD0yzB6dPGHdNnABRwYk5KCZ3ThLExLktJXrMbT4WGvHFzoIBvJ7eSR3RaGBFsR+eFjRYBN4p++sC0NsSQtbV3WWVFk5Vt67YqOeKUUbTFmlSi3wnAHRrHQ0bQRwEAFdlgiK2QSRIVS3BgIts5N1zpRsWr18NYo6TcMUX5SMDYFIBulAlKhZMx2mlMXnPUircOy0Dsk6E45fXAHDs9tFdO+5iUoISa0y9oYBqb5x07gTLkXiknpTwgnDroxJY+B2WFExs+53nP2qprOCmB7jeO4/ZT9VLLPMJbWTElJ57PvaTPhVR7zo8Gh0DCABBJ5zoYCwhBrjfoRM4bMg5S0FJW1PWGtH1ILTmCzKOcZuYyZJWRGppQcPoOB/VdOBGQNeBaACYAxq6qQ1ZSPGgFm3sEbkaMk0ca/N7knHc/K4Xzsu4rIchSxk74YZSo2+cUkVliKyhgT7eEEJk1lsHpDM9BRCaE2JViILZYsxOaWxrnuVLUfe6TgR7FaGh+QmnKftslY9lIuYeXCdFrK0QXwiknlHpwX5KtU7q3M6HhLIp4DpjrczCemhd6D3ByJjJGP7N+OTi1tacEqkYFWJps7dpSW7p0Yyj3LS2z9vY2Ac1Bzb8cnMNycFzGzsvAXLIrj1+1608GYouMLYitl14CLLzssnS7Y5M87uTgIJ8o3khs4UiRjg5IGZOD002WSWOXAGGvBhkVp2VAtV6JfnGUg82dhMhBCNob0jEQWzSCjwAQ2XLwHdcrKl5fL/3O8zg/RO20tqwZzk2cR2rKQ7ZOKO/4wQ/+Q0Lj/f0fPye23nn8Xco/3ukBsQUA90idO4CRLA+EOboFp9B1oANuiBIcKJzP4ODSw4b+UEROt+8Ys8zMKunALZKt7XL2mqTv+rVfJvSeSGzNnYiIbXkyyZG5E/BOHneyV4xos5KztYiAnzt/VvIQyhD37qW/Fn21Wm1rsWyWH+182vsk4uQNO0mcAN0JEscPYNDex14Fm/W9WVv1k44gT3NEMfo6kE44o2/KgUIvPetZWxBMlbKpzCmkISfIcW+x15aTW9LLTiz5mhHcCBHweG2ym4g2Y9fCZ1A6/5Jfv0I2if5WGzbsstTUco8+c2JiyGAjAPOE3wvEFvYpliJ61hY2iL3CZ/sIxBYONcQWwAI/BsKTeQ3k1kXv2wWRyIAUouSQDLGiwn7bLtu8ByIvkT0Xy9UCmUcm6lfDWujzyLL68YmtO2fPQZ6ENZ0jtgiY0COLz+W7k42Vl9dpy5eXeNlJVlatbdncYRybzvxB5PKd2tuv+PfEzpJ5N7Vfuhibrethjx1UJcitcN8ha4syKvZTBFGMSGxB9gCG2Bf4BpCENGIv3NJjGemh7+q8eWtt1aoNupdKzRkN48e0Lw7p+xyXrQ7E1tWr1+QPSsYgjxPyhb1BXqLsIE/RPiUTWhEw3C5vnKTIdZw8FtgHKPCZ7hcOD2vvEPCE2AokoPs+kMcOpMIceWYbASrtJQd7miPW4oetK7YLOxXX1W3WD1nXZGLLSzy0d779nf85ofH+/o+fE1vvPLBV9ONKtlWvvAvE1tkzklX5+ie1thypz3H6ZG+dEdA+I//09EnpQPnEfiqiZAiihF5LEOQeONAexA+urj4gX71d2GqbpWdstp07q2SrhK1IGhgZkX/PKW0zjndu77EVy6SQJ2wOPlwyuYW8RB8w2d/jf9HnA48l+31cG3x1PEEQexliW49ku9kJYoLjBAda24RdeoSvEqewuj88JX/Yia2ACyC2PKiJbomkBPIxG3zBz0sa8vsCvoJQAYuhnxKtKE6T1Ur2IwHz0K9sH31xZYuopOB+KJ3fvmNK90erFZq3P2OjlM8TlNgfSrPjKYnHtXZkF0W75aRWImFgBvx28NdDBjMn1Q6/aM1aK3BbnvRuRkaNY6plq7Zadk6zE/3hNOPHpf9uykaGjGvwH9UqnPIH/qYJ/DHtCypOvC0Hc5LIsLldf4QDlKJOBqcIp+Pz6FqT+4Qd9L26uwjizVj+lg4rLOKUZb57KLUma42DwcBxcX3Ihor4ksQJcKWXRSb0HZgKPIvuct3HevmayUYkjbMXvu/reVqvpSUMRB1zGEhBSji/4nOHzaRiCZ+BU/2aWs75KcP5m+X7bBuxWrfxF6w3kWmMvcO+gzGx4xDC+BCB2KJqI9yXV0mdC1lG3DdVQhA8fDb2jow2EjLo5UwJaW5+q6WuLbPHFmbY/Q8us0WLV9m2snKtV7vvb7DV4cPIWOhjh78WZSw5YyuSx8hPMra6E7EVMRbyloyv5rIiw8mj+IT7pyd1H4PyT3qkDzpsa1GrlZUNedZ4q/ZUOBAh4Cv3u7SP6dkXAsH4XGH9vKT0FmILUisJX/mIxFbgMnyv6T0QW/StPq794H3sJANvvvXnCW33zo/3lNj6N//mP2ijQEgkRVddoCVgGFsNvsRhSJLDv+UCGDKNyCZ5RYrhaevovCxQf0IKd9g2bdphebmFcsQrraW1SU5XgtiamtZGpLQD5cvJHec1mZfs2rWrWsTQ2JrNcTu5xSb5YYP/o6xxXOJmYLMR+Y79tSb27bO+gT6B7XZt1FDSQTS2iZrUtutea30rsZU4GhMARTYJJJ8M0eymkLAExjMQXAGAJ4isBJnFcz58QySiCXq/O4JSFJ6lNEtsybEGJAw8ax1dj1t9wykrLhmy4q1DVs19NoUmpv29z9mIp2KSFq/1kvKBEPKyxETmlgME1kzrhfJlsPlC+QifgwJ5Uc7cDVfCFRWTlp25x1JTSi19w27jqG4AigMoWHJOZiQFdIiU2QSpJSNB9tbewZd1z897RhdMMUx6dJBpgug16/p8nF6Ey7PfHHQGUssVnAMZKTm9dt/kF3RdDNDzDi4g9WgkuDm/R4MGyqNatxlPTe3Qug1oPkIqL03yIPtkkHzNmAuALoQREQaiGhiBOUF2gwkxEkdCgCOxhWK8ndgKaayw/V+yyfE3bWxYcyCj2Nx8TkZrSoOebfTakuFyYx4b+EnJQG7pvcgQJCTESwAPXJ8Bm5442ZI1dGLrazaVqD+njxmlMjT0J/Kyfn25rViZZVmZmzUnNXKAujUPw5r/Ke0tKd9T4YCGQGw97hlbXopICdXzz0q2Qo+tZMcm2bmJIzo5Uekmy1qM2pEVGct991Lu295lVVK8O7ZzGtdhN0ohMsZx6SGrwct1nIRkb8w5NxjoCBRuJ7bCCKRWWLOE4r2F2AIAApYxoOHwBFLFOSL/Bz/4jwmN9/d//JzY+tHjxy33+Ekff/u3/9X1ntsp5FxOTdR5twwH20Tn6KnwFTmsZIN+RvrlFTkAN50sqdlzVA7uqORpt2zWFquoxF61SD8OSMfukywFYgt7dXuPLewMhBSywEAufhi5dfvgdRFsY+ti7x/PMD5zWo7XjD5/wvo4wbemxbZsabTioh6XpZAhRMr5TTk5obfgLdlJx+SMy3nEzjgx4RHft2eUvNPASSUKjm5CT7nO1pyiX5nPSGCQZczJStip8vIJ27XrcAjEJBrJ+6k8mntsAgQjMhntVAh0EIRhvbBXQb/yPcgiYr0Ad93SHYAkTq7bsKHa1q2rtDzpQD8ViB4crYHYihlbkWDic9kroYF9KIUM43d0L7/h88brCPgwj5SP06OLuaXnFqVoZJpyMh5EB+Vp9BEt3rrXbSRE1y0EiEfe3wpEnvZdLIFk/shGQD/dMsezf9PSYE7HoffIQrj1tWT2BELJ50xrQVSe78gc08y/q+u692Bbt7ZCtqFEIHi35WxqtMLCbq3NaOhNSZZ6K0eDX5d9Cj3aWEuy8Jy40fpy7ZC5ldhDiUg9ujkGYiKpFdYvlHYmE1tcG7+lbNuYZW6ss5WrCmzpso2SNQ44adJa9fkeDz3sjut68dTROTDOgQrIyFyPrSA/0V5hn+4EGPhfsqx5Dzv5lVwX+Y2BmKmpKd3nXq1xl2SfrMh+ret+z0Ds6CQL7zn3cyhDhAQNxFY4YZPoP3bG+5Uk7NXtI4LwaKt+LGILH1t75zvfeff05s+JrXcedzoQ5d0gts6ckR2Sj+vBXRIGJFsnkC2C5fg8GifAWbJVtOsAjOIb+cEQAvEESclIra6e1v7ssuxsYau8rdKzu7VvW+5IbMVTEcn2wK5gqyLwjrbqdlwV5SVZbuL/IqnltkrXwe8joOltXo7g901IjgatsaFbOrrR6KtaWTE9G4SBnAMreAB6QrZq6ss2EzO29N19LqQj0W/0w4UQgRg57xgqCVf5SPjpl/ENyeonc4jgNYSGdBO+dILYwveDeKJnMj1d6dnIoU/Ykm3bxiXrod1Kj2wH/YBDRQztU8hYghQIwRgPokEO4FMkcBU2JejfLxmn9NHsf3BYPrquT/Zybl6n9G+Npa7ZYWvWV9iWwl63GQQWOhJ9iwPmpHSdMkSqTYI/fOSYdCrBf76Lk31kPUXyCNscB8+F7x6ILdlqzaWfuI8Nlc4akz3s6qLtwrTuqcObpZOFDKnX0kRPpif8XkJGHdljCWwp+4uNhBxkLiHMmFd0Hp/ja+X2IJJcITOLtYsjkFpkaoWm8SGAJVuRwKRwCATuvUonEXCMxBbtAPLzO/3wqd3VB6WT6SsqzLf3ObcvnqU+22eLAwhCVhkN47mnM8LpIZkknj6awN7SsWTaUS1Cry5vWj/wjDDbBdtWPmJpGdW2aEmOLVi0zjZuzJX/tUf+B+W+QcZioBMbggzcTmwhX5HYQoawVRFLRVuVTGhF3IXMRVlDzm7NipRPKNlGzgYG+oU3O62qst22be3SWk4aPbM7vAVOPJU6cXCO9gBcjlfhyV4xP+Bh5oW9RBliLCO9E7HFc1Hegq0iY0v4SvYqEFvyQbSOb771rxPa7p0f7zGx9e+DUyYBdXLLM7d+yxlrwAPCzd84PYBRmtz5hpQDSaPsnt4n5Sydtz21M7atrNeyssvkTJVKGe/S8y3uxIzSY2tqvzbijDsVgGGar3k63+Oc2Eb6Oacj3kpuoYRZ7B82+H9UuLwfRQ6TChA5deqUnIQZKY8x6+zpsUqaGjrLOeKOeDPEVnsSsTX6hgzKm64IqXdm0Q7T/0eKZjbVkY0hQXlbOqYr4TkyKzou/D8IWFA8CLc3+JPC8LmEsRbQR7CJuqIY6xtPWbmc9qLiQduxEwNxykvvujtvuOPNfe5zZl3rJcXNdWChyVSKZBaDz+D58DnBAeZz+vqes7aOa9bYfFYKZNoKNrfZhvVVtim7WYpkyB3gSGzRjwNiayRBbDFw9uj5BZlFKeCABsf4UicOwCLbDaIKBw3FGO4nnOJIBhwEl9eo63lKECFKKf+kvxbXJYJASSZrVFREb5UO27KZBq9jgdgC3LVdt/5EjfoseaTrzBFbCHKC2JplqLVOXlMcDWYguHzob55zIlJrxvp6tsKZhAOvNQt9r8KaQWyNQmwJ2NE0H6NVUkLJx1FrbLqodXxSAJqa8ESUSu9xcKf1cHB3IkHmaF85waXPICqCAfETPKSQkMMgZ5TKkKZ73ZobBK4c4O2wlNRNkrNtAit1mrNuKelhyeak5lxg4aQcHCnf83JwyNi6Jvl68imax5Np8ozk5rnZPlsRkCcTXHHwXLLSRSaRzzuV+3pZR0+f1da3C0iFct9YnkTz9r2DMkpjQfEGYkv7w/dFIutGxg85caCA4tU6sTbJoG+W1GL8BMQWJPwP/vrnxNY/9Pj7nEL14zz+83/+r4EokZ7BqfFyL8nLLKHFwAF1UiuAbV7PnsPoA7hxkChvq959yIMcOTmVcqKK5UDtDvZKYIG9PDUViC2AdzJYwJGJ4BvbgzMTHRpkKcrTnUYEDLyW9wC4AR40IT0ne3j8xHF3Yujx1dnRbdu31wnINEq37HV9mExskc00S2zJSfSMa9kAvj+EQ7BZUaaCMxPt0o8arv/0+pitFYgtyZPmOmS/xYwtiK3nnNgie2mb9DP99CB8OJDFe4A5cZIod0P/ucxDSqKnyTaWf6HfuTY+Bjo8EGdkqtLm4CW3QQCCbaVDTpJs2FArvcdx1+P63KNy9M57Bh5ZQpReYKMgrDzIomu5bZSt8XnR/ogZWzFazIBEo8kw5BaEBqWe3d1Padzw3wm0cIpSYWGfQNGI7NAR/1ye91OlKIF0wj5BbB3iOwUyLYC2vxvBGAc6cZYAgUzSd3FgRcaW9gB2nezh2j1HLTur0RYt3uKZbbQWoFkwJQu0HuC+idSTVefk43DISHJw5c4wvh/OMFlJASy4fdLnxsHf6GvPHHN5+23/zi5nmoNRyRkkY0f747KHhy0vv81SUoosbV2e7ayolr1slx9DI959vtdDxtapBLEV5MuJ4wRQwOYgM7fLUgQNESQwor1iJMvZTfmHXDeWdnA4A59P+VRDA43jQ/Qb8hhiFjLVsxi0ByOx5f5F7Jv2YxBb0ccAMNy51DfIGqRhXNejx35ObL1XIwZfftjj3SC2Tp2SDy6deRi/NIGpPGmAYJ58YcguiAj+h79H5QyBa2wVAWPwCb54VdWkFRS22MasUttSUCJbEImtHvmYw/ITp9wHm8NWIcOY/R5Ke+eytqJMRWwFyRWJrmifGDzH/5MxFnLJNb39xCnaTxyUfzom3dNvu3e12+b8emEI2SrpSif+ndgCX8XKCjK2Qo+tWJ5+ElmS/+v4yokc4SXJFJlbyAgtKW7BV4kRyH98e8iVP5Asyt9HN+l6IWge+pWRscVp9xBbXZy0LnxVVj4u2z/pRH9b21XrEwYcJBDtp+593oPX2A63V1o7dCK2FTyDPZkro4OExBa+bgO6PokJu6RDNm/psQ1pu23N2p22IWOPbZX9xn4wJ+jFSPb5IVNTmpMDmhMntoSVIDqlX09AImk+yHg6e45AeyC35rKimKPEd08E4OnnFksRaWNCk/TOzise8MjJ5QCavU461u7hVHmILUi2m47jwHCOLVkj8Irmbka6CLKdksxT0k+ndF9hrWTTpLOc4EpgYieQSOBg6Hfu/aTWhO9BRQaYJ57UT+KI21/NXajSIUHmWeuUb+a4tPqA7EanebuBSnr0huw6gpKUI3rALNFn6ygnQUOQyt+B2Iz3FAgtzd9pSK1ArIVWSolMvn1vyW5SjoicXZGtOmg5+c22YlWBrU7ZJOxZpvVqkI0IvYtvJ7ZixhbyBR5CvpAt5CXKE3YIHBXtU7KtSsZXyB3vifgKeeXayPFJYTlO5yZxgUzn2toWK9vWrNEv/2dGfshFJ8C9LY/sVVi/W4ktvjs2BvkKPcgCseWJHtipBKaaK/lNwldJxBZrO5ex9VNObP3lX/7vrnS84TfklpclyohLqHEA2dwIMs8hzLyGkjgate6VY0tzuqamM7armpPb2mxjZokEqExOAkChVRuHqMKoK1+OpCWLCkfm7DmOdr6gSeRkgblIXdwkyUqYwe+3D17Da3kfGwylCwABiKDk2YxDUvzNrZ1Wuq3eNm9u04YYnSO2EhlbXpuamAOcGNhkGk9zYlssR0Q4gvK9lalOdlR8aNOwcULD+O+70AfGGOdlrkQqOKYQTqGvlBNbUowNTac9FbOgoN9KSkedHMAZRSEOyGGEZBp3cotTjbReuleuBenCWh0+zH3/pitK1gwFheOKEp1Nb2694o0dORmycEuXbcyos/y8DnfaaarsxBaRdxp+S/ApReQeh/TZKEBOOBmQIWDe+B2F6HXiug/6k0Gm4aBBrrlBSJBbfHcfABkpOO/ZImeBxvY0pqfOuktgokEAjjnIy+NkpTYrlIIDyHimXdM562x/wgYisZUgZX3Pal5D9lpIvQzRhQRLnSC3WKO3GcuLDD2H4WDNJMCBjJyLNADADs3gwKOQcT5e1f1CRoaMhaLiISvfPuW9tjxrq1sGfa/mxok3AQdfJxoeBoNOlGGu5Jef33QgRCoxsjcbAR8jO+45rcU1axUg37l91LKyKm1Dep4+b6fArpSvHJyRkWHd25TmQGCByN3Zs/quF6Wortq169fsSclIiCzExtdBAScr4dtHMhBHBqO8RQcnKN6T2oPTusfBUO67q1n7tl3GdJ9HhugJ1N3DAQ1zR/Ezh+yPcGhFKFFFPpjzGFFgncigS47WzSnbMJyMlIJmXVnfOxNbwYj94F3M2PrGd7//T2Yce/yFOzr+P+54J4Dwbj7+83/+f5yIiOQW+sMJdBlwjDjDAzCu98jUgrz4nPaddN/Qy7JFN92JobSMsuaiYum+jSXStWW2Z8+eWWIr2KsQBceOYK/Y6zgz2JlIbiXbKUYyYIgAIXlEoO1D77uFID5zWrrhsGzClHEaYlMjfRR2W35+k/TysNXsPhpII8CCyxP9f4I8kXET9R/73gkcJyYCuRWybgTCpdfcNiXk6+0jkFrYK94XZCmh/6SXmFPK38iABHx5KWL7ZW9ODrFVVjbupdmQ2ZE4Ye6DzMfMLeyT/IrDBGRkJzR8vfQ/vgfXhySiqbvbRDnf2COaoNPkNTOzwQqLsAcT3sydDBsy8CCgIMK4L8iI0Lck6FxITg/WoW80sJMebddeSia2PHKsed078LyXPVAe0Sd7CYkV+n70eWaa93n0038pgXwuiQAJxJYHWDRfIfMpEFvopjvP+TsP1oT1CEEWAQTZkLgWTmwNh7J4CFsOWlm+fKutWLnVONo9J6dR+7xPYG5U9v6A7/2QtRXunXl2AhKHWKCT+/dIvWxUiPTO9cT0zD3IrDj0GkhJ1o6SRkgy7gWyj/mpqTmsOeuwtWu3Wl5ukex3rdazU3M7KBualLGVkK8IxJGtIFdBtqI83clG/bCRDBSwV8hZiICf0nc8aKOS8c7OHukBAF+r9tOol2uSpUeGMfKFjzubYcy6yp4AmpmHOWLrh5PGAYC//fk4Qo+t6GfQAwZi66vvKrH173NmoQAA//RJREFU29Lx/1TGzde+eEcb9OOOaKt+nENO3g1i6/jxrwY75TpIOkGD0wAB4wzsFcQJ/4/tXQD6eyH0pc/aWq+6rqG/Yk5OjaVnFFpBcYntrtktH75Zr+mRXRuS7O7T5xyQXgitXsA/kE/YK/Y98hRxVSSMb7dXtw+e5zXJGCvKUMBXRyXzU5LlId1nt5Vva5CM11tZqWwVbTnkwzuxReKAtwyZqzZBd/G9I/nv/i9kCeQU+OqcfHaXK3QmGGtOvjxxAH9PshP6qobKCogWiBfXj7KBXqkin5u2F5QiotdpTt4kfOWn2gpbUZZIz6uuzhvWTynXEBm/+OucvBfILdaGgA52K/wMmMqxmxMzlCG+an0EuTuvaG2OWEFhn6WlVdu69ZW2KbfRSsuG9FnCVW6/qeh42rETB29xWv3+A5oTP9GdYE/QuxwkBTFExtMc3kwML0GM2VpgnO9q3fXdhVVns2dlc4eGX7DW9ot+8FT2plYntqoqpsMpubJp+BLcC43ZI/kYeIDw/cn8mmsnk8As+BVar1OUJ8q2nQETO876fb/fk/qdcQK8m7Ab2Aown/vjmj/Whc+YEHbDXpMxRq8vMmXBvxzIRdZbfj7tgyYlA/gUF0OAHL2svRTLEdlH3J9nlemenHhLYHVGDMTEe/BsMSeQ39R6v+b7k6xsbBWtlNZvKLeMjUWy8xWao0bZMrDVHLFFVmTsY4e9QiaQDbAVshJlKhlX/aikgUhq8R7ez3WQVzLCwqmjyNmkcPeAURZZUdloW4ubbEf5iNVrXsDpoY9dJLbIZgt2HF3j/a21BqHqjP0yZ6+QpYCxAp4KrZSSMRYJH3NVTLcTW1RbvfXTSmz9xV/8v6Wc6KGU2NR+nOaXXNG6YGuwgXiOzchrKIkbJmMnUdZBb42Kyn2Wm18v5VsgAdomJ6ZGG6bN02WHh0a0kSZ1zQO+OXBmbsnaSmwQnBqckLhRoiK+0+B/vOZ2UotNh3LHacJ56h8YsJo9TbZ5yy7Ly4PYGnMioqlRgt16TZuCeueQijk69jkb1/enQfs0Cm0GQoaMgHDiYCC3IlM9R25FsOCDv8+Fwf/ZTAgX4J1spViGGJQjGTk0HgQkPJcgts4Yx07nb+61LQX9TjQ1NEA0XQx1xv0veraQk1uAPK0Jp38cPIgTTyYD4AGF/Ot6/sv6LijgUIbjUQuBomY5nTTNI4q7KbvFNmbU2xZqmilZEODzxvreoF3Ob+8znqpLnTzKDyIrDvZNrOulRxYZZGRgkVbLd6R0FYY8EFxzI5Qgypjr9ZO6P1J590K6aT9BCgGOSkqHLCOz0bJ1f1uLBzzqQE8Vb+za8aQN9N1ObM2VIiaTkb5WCcPgayOjcCeDGdeOE6ic1EJJJxRzyDCTA0JDd4FlQAzzObAXZXzVdu85asUy6AVFNPOj19Yla++4IWUdIiE+P5DG09xjqN/39GaUDvsLMo77hgTE0Tkg5e+Gk3UTIO9/2joFyJu1D6oq9knh11hefrHWqlrKt0XKWTLmdeC3Ru5wblCQyBZylUwaRwXMwJGJijh5RIXLa+/k4AASYvS7v39Azkyb9lCTlZb06D4paZVzkyjNxHjdkrGl9Q8ZW4Ak5CsQkaxVlClXvhCPiTF76opnaSVILcpMzwuQS954r69ZJLZklAFdROF+8IP/I6Hxfv6ID0ow7gQA3mn8JADh3XxAbJEpHMBmIgAhPYqdCkM6T+CDVPpAQH/WyR9ILUgSwD+AGyJmx44JyVGzwH+hB2L21NbKXgVia3h4RHtmUtc7IOf7qDszyVlbEXwjU9GhiWDhxxnuwEgWuQ6BHRwYbKJHwEdHdQ/9cuaabXN+pfRyi+tlehbRWJXyN4gtSBfIdXSE90nSd/cIc4LAccDgDk3IuHFyy3UhRD8yhh5EzuYGz/F/d1KTHMJABiV6U8jmAL4grej9B1EI+II4KSmR/ktqqu599YYh98ksm4sE+1pJLnG+ZtdNa0YAxolIOa6QVGRNQcLg2BLYIBspS4NeIZwIBLFFNhe9UzxqCVHjkecEgZ4AUXwOoITvgDMGWCHim0xsUSZN5hWfO6zv5qWJg5TtPyFf5oht2dJrW7cOenaul/RBgNC0nu+YINP4jnwen+X9SmU34vxjU5jjaG/CmPMbbn1+bvA/TiIk8wvnnWsG8JIoW9K9c79ktjFXtBdISdluS5cW2Lp1O7zXVkFBl+zpYMKGso+0PmQO4BAnShg8+09gYbYlxVEB8GPhoIbkgS30oT0BecfckpEXgjCvyy940fcndpoG0kVFnbZxY5nLWG0tEfAezWsgtqKtwl+LWSbYFmTrdrnCBmGTAAJxJBNZyYPX8Xreh83jesgtn4EsUz2wd++Q5qtH+7ZJ80MgZtL9DvzZH0psHWZeCJyFEtNAWAay+E5r96MG7wGccg1IMq7JQQcA53eT2Pqn8iAT+E626J3G39VWvRvE1tGj8r+1dwDSnACHX0d/qUMHpYd8QHzNJQwELEDTeDJhn7Dmxose0Ni2ba9lZOwQttpiRVshtnbJjjV5BgeyRPP2CLwjtgIH3e7/RVwVMdTt8hUHf0d/Lxljca1ZfDVbMt8vvNBmRQW7LS+n3srLZKs4+ApbJdsQfT90JL66Z0RJXwTShDLNhK0SWD5JSw7s1NlwsBLETSBwgk/oNisx+D3aq1BZESoeXD9Kd0GguK8u/R6C5s9rvkISBn2mtpYMy6ZMWUOd7tN7LT/tWS/e5F4yD67ioCjWBp2I787v4OBgOwiYfcaGZKv4fgRvW9suOUahd3Ha+mpL2yDMKftdWj5ku3YfsnrIvrarslVPWZ8+a4g52SdssF96F+yWpF+S25WcOU1WFHY7eRAEpjQ88d2P67vTwsSxJVUKVMA8J6x3VvczIDvQLF08YJXCln5KbuM59yX8gDBhKRIVHAOPfkbrGnpt8X19ncBVHpBnrSC48C2+GbLt5COcBhtrhB6n3/aBTx+rc5JJLWSIdcHWjDN/0rGU0TF/bR1XvGJpZyVJDR2Wk9NmO2TnmVPPzO66ptc+674Hdg9/wvsXJ/YRvezCfYH98F8isZa4B/CA7CYyic2HXGQtGpvoY3dIctZvmVkVwlbbrLIqyFgktsBWcArYD/w1fMGYtRWxFTIVZQncFDFVtFXJGcU8FzEW+Iv38f6Ir7g++AqZnpgYs97+XqtvaLXS0jorKmzxecEPaW8N5CR7MBJb7FHslWdFOn8RA2wBCwdZmvNF5jAWRNbciIedBFv1fc/Eg9gio3Cux9ZPKbH1r//if9NmedHTAUdGBRrIWtKmQ9GyucMIJwiheIclyEMQHFK+1Cc3N52XQ3BUjuawZWUjzJvlxFCKuNtBN0dlUoM9NjbhmwNnJoKFmDbLIqI0cT5ieh/OCIvMhrnT4H9sqKhwI6nFZsBZApRQUtIp5b9j527blLtTQKZdinfcia2GhnNyTh+3zs6nZUgCATEioR6b0Hef+pIEkMwjIsuhhA5BRWAB4LDRnDCAwomkyezQ3zznw0mt308IemgaT8NselCx+ZhnFAmfjYMcShFPy3neL+HqsU05Xbp3KSI59kRjO9ol2L0S7IGXnNzyfiJEp8kI8uwtlJHuXQLPurGGkF84nH7yE0Ck87o16Fo1e45ISEZsQ1qtZaTXCkDRx2rEo7pk2pDiyOf1yTDB6KP0+28jt7hvDIGTSwKaKEIHLoAWOfdsfAYleCFKL2Ouwf+IUHijTFJmx1+3gaEXtVY3/LQSTnrYvKXb1qftsVwpt21yyiul7PbongOxFTK2BvcSbU6kDycc8lCSOUdGxqytsE44oWGQxhzJrSi4GFAASDAWKMagnMOhCVozlDKyALElEMQJkzT83117zEo0d7mbe21HBceFn7OW1utSmjc15y86celHsO4TsJOB9Puc+S3vMxAyTfS7BgZkxvdGKJ/jpEnIyO6eJ2V8L8kIn7Dt5fqc3CrL37zVZYyU9Ehs0ecqOSsSeUhOmY3ylExuxRFJrjhQtrc7Obc7ODhRHv2WnHV1Ef1ulOw32DZKpypnBDoxntcSzg0RheA0kB4+1zw+KF4/HScRVWAtAgl5K2Ags+5CJLQ06JtG/7RAapHVMHfcs5e6au+FtOOfE1u3P35SUisChHe7b9ZP8vibv/m/naRCn7GPsEnoHYgdCHx+D72TYt8kmoK/5KRWb88N6bOrHiTg5DOAflZWja1fnx8CMTU13mOLQAxRcPpsAYBjVgnOfLJDg63CRiXbKWQkyhZyc8tIyFC0XbyP62D/KOugX8n09H7Z1kHrlixV7KyzrMwKzzLevmPCwQIZWzEDEkICQoNMXCeNpiOJEwgciAd3kOXoIRPBSQ6BmaATGQRo0HdxhHI3XhsjrZHUwlGadegTZCElkUR962QvILYoESwvT5zeSCSRgzT8PgMBN7te0qEQjxAiZGlx75BarClrS0khJBW9oMhWJppKJtKGDbstO5uMrb6QsZWYE8jKUKLJaZGAE8g0ysBDdmgkt+LwHqG+T97UZ4aMPkiMQX0nvheZWyOjoSwR55/vtDm/yyPfIaM59KoKpzE+E76fbCDXw6bxGR5kOUIkmeyeMO+ekSobE4nEZN12p8FrsFmBaJSTrvXgmhBngdgi0JjIkkqsBY1w09J22cKFubY6ZZulp+/SHmrXHidra8xLYghEzs6ZnGKfM33n2dJWJ0nJqNN3kI5mD4RWAt/Q74zQPJnvGQlJgIL3XCXyruuSFYDNLixsFUAps21lOzRv9U5ssccB45E4RrYiEI9yFUnj2GuLkQwYbie2IlBIzjYBKHAdrgdpxmfgG0Ja9/Zx9H6bFRRA/LXrXqc9oOdZDE5sReKYUzbDiWlO+DnAo+9MWFfWBnD9k5JbyWvrNgtA7r4RxNa71zz+n8Lj70Jq3alv1k/yeDeIrZmZz7sOwv8IeArf/MvGiWX4gfis+OoO8oW7huRL9wuLULXQ1nLZSRcOuios6LB160tsQ3q+FW2V31dTKf88EFv0iRsbC8RWzDBGngjEJGMrwDK+WwThyBYDmxSJruTB/3gdr+e9XOP8+QvuVxLM5PCF0dER9/uqquotP6dSvnqDV8TMZmy1cer8U/6dCIJT2THXoDzoGPd/0SnSbQQkyVQKcoW+DARXKLcLPrwHZuLvZyQ/7vNR7hb6QKIf0b1Bx5PRGjKq0OVeXaT7qhC+KizaayUlI7KrVMRctLb2J6SbYvVOOK0w4OCwdpOTAU/53/oOYK/Ya7hXmKxdOq+p+Zz8iBkrKu6VX7HLNmRI9xYKv5QP266ag1Yv36NF6xpalTxne6UvwT5kbXkDeck+Ovew61uC82CY4BefcfuBruFnGH7oVILQ80CDMMUhiFLZoAnv03bTGptOWUFRj2V6QKjfD3Tyg0QasZuJe+l9TvPzktboNX2nN3zO+O6sEzgVW4O+d5wi/YcNcJJL93iCViLHmHsy5ciK0ho4uchhMBBaiZYzTmqRyCAfQjbGg0maZ5+/PsoQn/AWNCHhYkI2o0X+D4e9DctfO+h+W3sHp86TnRSCMWAkJ9+0j0JAj152ui9KfcHrujeIHapgPGFA9gp5w4fhs9mXlPs21J9x/R+CMOW2paDMqndXy9figIZu2deArd6p3BeZQXai/xft1Z0SByKhFTEW70PeIr7i+sePJ07IlpzBY1RKzgoKanSfZLJRokm/adoKJJJz9J3QN3zHsGbBB/G9xD5KYGFvzyPMlGyzZsktx1hh8H8fei28RuiX9l07JlkLmPinmdj61/+rNsszzpri2LHgpGO6oyYBDkNAQYLM/wa1ESE6+uQQdbRfkYBQ1kFkrtujChs25On3Ej23S/9r0sZp1+v79d5RbcS5prx3UsBsFBaVzRIVcQQP0dmJjgr/4zW8NjotbDhACNePzaybW+S8FJZbRlaZO3jb5aQGYuusBPuKdXbAWEvJSPEi1GRtkb7qWVsHyDyifxVldEQqIbji6X70n4ggAVDwvcQIoIHnA6n1HSntb7qgO6kl52g/TqkUJfNKplwQ7mesreNqILaqILa6LDOzxSjx4H6pM25ruWQ9naE8cEgKGFLJe4O5IoLgAjigjOW0a90wlr5uUuw4r71SCjjqtbpW1a6DEuBeS02t0JrVuONOKWKFBHzPHk7NoFTzceshuqD90efk1ot+rzFby4ktog5OLmGwiE6R7fflBLkVsrciwcXv9N+iZJG+WhNyzOmtNTT6mpHKy/evkwIrK5+wjVlNtlbGIS+XLLuhW4ktGSGa6VMX72WQ+q7TiTKKIMwJwwBh4uRWdEAxkhAnMRIUMu58nEuO/oRG7h5FlQKHjOOeyUrjgAEUP7LS1x+IrZoEsZWT12Xl22U4ak/pPq/KWN6Q0nlWSodoiIz6OGvD/JClQAmO5kT7wUlAzRXZbjg7HObAZ3hPNKJ3AlCcuFiz+5CMU6dlZZdrT5dI4ZOxFVLSUb7JKenJWSbRsUFubie34ojgIXnwfHRyIhhH3rgmssbnQFYTNWxubpWjUO3NrstKR2w3mWucPCrnprv7ac0B4AkSlFOmILa+kpAt1mquHHE2qqD1oFSDXgtxcLplSENP/JzN1IqZkYFE9gy7I6GPHXuRLNS//jmxNfv4SUitf+i+WT/JA2ILpyb0UiLDNmRv4ahAULC3ICm8rAydN/iibM+zrvcA2xxkQJCAiG1hYZeAQpltSNtsW7eWGqXzROh6kqLgkSiO8hTJ4mTAkGyjon1CVqKjg5xF+Um2XcgR10GOsIU4TZOS38G9g9bS3GZbiyull7dbfj7EVuiPBFiA2AL4BMIozAOkEYSE97KSbXHAgAMqOUCHQYhQmuhOshyTSLTcaYQs1RD5JgoK8IAsA4jwGcwzkUHsiZfL6H4ol4do2rw52BAc52bZj65OTl26qfmM/YrCWkEAQcYxYpYWpIr3uYJgGnxJ9vBmICITZaOcirh2XYVlZdVLB4ZSxF27Zjxq2dxMv0zKv2WrpC85pRCSZS5zi8DHl31+CEzgtHMP4TPn9gs6ncF7Y+kqkWIytfhuHGACKYrvEIi7UM7HayGYwveCBAlrQAmkH7UtgMK8+hzLvszZomCDgoMZncwYaIkloSF7jjVhHecIJYIsAOJAbDHPkG30oYT8m/dYjq1cUaQ9LsCZ2yy9zMl/g56p6HvJT4UOjeS954sHHkJ2sbdjSBB0DAgd7GoIToXfwz2QGZkoHZWtYk9CCjFnELGcjpabu0ejxMrLdwjYNczKF7158AWjbEEax/KpKFPITDJQiAMwACiIgIEBgIggIdou7BzXIbDDtZE15AwioLtLIG9nk+Xl1Wo/Ac7DoTmeiad1jfIV9mzsYxfmImQuaF1dnsJ6hqDZrVngdx6UzIesC96XLG/ML37Tt7/9PyU03s8fPwmp9W6Wxb/yLhBbBw4Eoj5gqbekdz7vvogPJ0kIkkKSIMP0LHzJZRGSpEUyRC+kHfKF8/KaLCW10Nal5VhhcbHtqq6Uf9mgfdql9wxIz1E6P2erwEDYKmQqAvBkXBVtVbRTdxrRlkVSK8oPturAwQPSEROyr3ul/zustKTKsjfusPxNzfL9Rj2TFrIAHUkmreMr+epD+o4kR0TSxPWk9JkT6MJYyIBn3DiZM2enIHACxkoOwGjIX4xZOZ4ZBIFxiGzWGIQJ/a/ArPT96+q45hm+VMRQVr5Fo6qSnsJnhBPnCCdsQMTB+OHYPNbJ7Qa/y+8gsQD8QQljt74jeqO+AVw1LX3S7YecbMys0Xp1ChOM6PkDVltHCeBFrS86V7hAdg7sQ8UK7VjYX+AAnw8PIISm9WRGcaLmaWzIKeaGn2RJkWwRyBvsNNmAVFeF3os0Rn9KWO+YFRQJS8ombCno8SAZLV0gilpIXqCBfI/wHdUlwnSsUfSrsPfYy5gZT3YU6wUB7wkE4OKjgZj0udc9MAKZFQ4GA9+QxBAztZzUohJFtpnPm83WEk5oFLYjO2vHdg4dqfcWOaWle31O6+sJlsmnkG4GK+/V3JGI44EY3R+ZZdglTxjQPUBmMfg9klrYK17P92ONsZktrVeE105oXrBVDZa2YavWr8zLfVvb5vrY3V7um2yvsC/RXkWf704EVyS5GPHvaKt4H/LGtfAtwW4EfQiuUu7b2tZpxVurLDdvt/dZrpbvQ+JAh7e9IduQqrPXXNfs15o5saW597nQHkJGPGuLhBzI4Vnf43abNeeLBHwlHAaJrPchc/AenjigNQZfvfnmT+mpiH/25/8vB85sLncK5YTi2JFdERuGI+Q8B5sNwYFDi9PamgAKON45uU22fn2pBk2ti6yiskKbsU4bloySkH4OWAAIs0EiuRUzt+JGYURFzGCh40DJxt9R0vyf10aAwLXYeFzfmxrqc/fsqbdNucVy8EoFElptezlNvoNDjGCT/UPDchhPMmsgmpyxTjh3s04qGTVaTJhKJ7kcLMCoB1b9TiMq3FB+KIVLNo4Uz6Sui5EbHSX1GIP2onVpTlsEEuh9VVE55adYpGfUh1OYqjjJ4qhHG9okiPS+6peixoH3HhmABjnpABwcXcis0OhdDvvQqzak11E2SuNkTvGDIKIMkVTP1avLtWbVnvpZWjosZ2+/RzEa6iH+5PiihCU4zBGEZuyrlZyx5aAFh1iKH8IukltEfkmxhcSIAwVHdAJFHkktGi8C1jipsbrmsBRLn61Nq7b1GpvzO95GbNFjq7+HzDXKMl91QzOZ5Hz6MaeHZSiPYBgSoA6DcPo7EuoAKsKIUSAip5BaZOOxbjIWpK9SzuYEScj88VJc3bMDO0oucEIEqMhY5Pj5rE0tWq9BOR5HrL7uvL7P4zIcT+l1z2utKPcNESuaTpIVCHlKvTmGg+EpuvofhCRrx/ryGa3t4VQuyn1z5IhvzCy0oqKt2se7tJ6NHrkLWSYTmgNOH53rDQQQjyAcuQE0RKcGZRoVcRwoZMbtgPx2EhlZAyQg02S51NQIwOTttLzNcm7KKRPiePk5II4BI3KGUfHMBkC4G/GYtRXkKJBbrJHWBbKRdPPE8BNXzicNJyP/UOsaG0Ry8knMjIwRmpAZ+YN3scfWP+bHj0NqvZsA4d18QGxBsg9ID7nuI8t4BAIDHYTuJuIY+iRBOJA9QokWzcXp0UCmDUGYbZDQOY22Zm2xdGy+yxJlvY2NjdKRHXovJ/mOzIIF9jlgIdoq9v852RxsFXKVTG690+C1vCcCBQ/ESF4P7N9vE5IlyhD31DRIH++Qc1wuB7zT+0vRoN0ztqSTOwAL/RDmMTspkEaQDH7CnXQVez+Q/CHjJhJct9uoW4ccZb3mGPZN7yEK6tm1soEh0gkZFMr2mH936J1MOSTnfdRy89uluymfl9PVSEb0JX8NoCIQJ/IpHOjJTgEQEoRk7G8FoQWhQBZRj97XpmtTNkF5y6bsRrdVmZl7rKCwxwm0kF1MNnMsqyD6jJ16zucGwgldDYHFfUciK5nQcjJN9xVK9QnckL3+st8HpA/XL9jSo8HpgqHPo2cjSO/Tp4rXeW8WwKsTW2/5fIXMOSLciZ5nibmPYC15kDWHgxkJLbdNTmqFMpP4fiLS+CKsLxmKfB7fI2TPyX9ouei2iBLb+fOzbcmSfFu7brtlZdbKjpKd1OVZWwC7Gs0rBFQbZZz6nk7QCQByvTnykQBfKEkJ3ykQXfzOc3xX5pL54yCBnt4bsoeUph6XrZrUGvVqvcotN0f+4M5K7d9gq8gyGYfYSmSZIFcxwIlcYGeivEBORZBwO8H1Q0cCKPB+bB72D/8SoOD9IPcO6Xt329atNZa9qdZ7kFFCS8aW99gSePJDAbSuTkpoLqIv6P6F5OJ2csvXUesWwUJcz+RBjzte45kWej3v5RrIGyRyIJC/bN/+9r9LaLyf7cePQ2r9Q5XFv/IuEFuTU/S1fdUxBZUFkDrjtDtxsoTxGffTKT90bAVJ0v2UZOiq+/q75UeWlgxZVtYeW7kqT/Yqy7YUFgoPVEiW6uRbtrmtGh6e8/2wVZEsxr4gV9iriKtitnHEUwxsUvJIxlm8PtqqGIABw42OjUjn9EhmGqVbyix9Q5nkvNmrQKpkY/FXW6S/O6RbsNneoFyYwQ/3kM7Hl4ZooIWIn8CXILc8C0g+HGROsEmhxA1Qjo8XfvLcrX462Ax7Fw6jordWEr7Aj5ZNQTeRIEDZcf7mbtuUw+m6+wLeIdEBIk7+QiDiXvJ1wQ+HHHMsDK7S36OOqWSr9LperRcBGNZrjzDa9h3jst2ttnbtTsvMkm4p6tJnYKvAcNgq6VyCMFTCMCe6FtdnTkgMiATSzEzIkKI9yXHpGg4b8B5X6Bx+EgzWczH4NHNI331a/u4UGYAQeq9Zb98Nr8wpKOy2jMx6+eftwlIjngFF1m64l6vCnrd+Z0okR/RdndTXPEJukYnM/vcDy2YguL7qmVg+dK8Q/nEEn+E3hJli+WbonTlLasnm0nqG74+9xv7gK8QgVlnpoKWn7fZyzuLiXtmrffIDhH+bzrpseBag44lQLcS8OfbT51He64EYzcdh/6l7Qq/q/yR8xF7TBDzJEmuSDazePWMl2/osY+NO+VzyB4vLhGcIdJI0cGu5L/s/YqvbyS1kB6yEzYq46kfZLP6HbYs4i/dzrYivsI1UDvT1DUjOWrSvttumTbvDYULehoH+opTRwt0k/BDpmSBb2kf63m6rJFfhAIBAGM9lQ0JwheSO2BMc++U2jN8T+MpbWGDjqFajxDT6hrr+Ty2x9ad/9j9bi5wbTkhggtwx1KZxB8+zcyTAUgyQXoBsXtPRcd2zh2B92Yic+rBRDmfqmiJbsyZTSmOLnPHtcrJqHHh3dnZqI/VLAQ+7Ao7kFgsXyxLZKChhNktUxDgkDBTy7YPneQ2v5b0AhEhqwa6yGdva2mxnRZUUTKGlbSixvNxmd5K5Z8olmhvPeyqfR3pdsInYYoggagJjDfMfCRMXYCngSHKRzYNiBTS8fUjhagMA3AMxEkogQtYPjDrlbK/7Z5LKCrnYJMe0RsrPSafcVlsv4S4o7PW/qwUeuGdvlktdrddGC9wIMOCIA3AABxBdkJCUHrJunl2nNe2WELe3sWYnvVyhlFOmshpkMEslzDSZbfXI9I4dk1a964jV1Z6WIrngn4UDTx0vKaMoo0BuJTK3JExk4jjLr+9EZCqkXX/RyQui5ChFSBsnbogyy3HmpBIUKFGL3n56VSX6i1VOWU5em61es9NLTzZvvp3YOmud7TKWNGfn5EG9f0zrRSNCPpeIBZGLmUOBucdYeq8QTiIUcAMoYBjDwFCGceJkwtHU63g9kQjP+tGaewRI3yEACfrLhEiDp4xLdogy0BNsY2aDn4hSUXFAz53SXF8U8LsmBcrcAcZDg0aPAulaDKLB7DMGf9OMEmPK2hGZCCeFnPemlJT7ZmRWJIHxSoGsBpevkJI+pjm4NXKHQxIzTKJTE50ZlHAkue40+F90dG4nkZFbFD0yTVbm9h0Vlpm93XsKlHmZUCS2iNoFw4k+8UgYskUkSIbST0fUGsWSRI8sSIE6WCAyF4cUMY1Fk8cpKdxIaIVMrQSp5etG6jPyFsjInxNbP5rU+ocCCO/m42/+5v/rAZUed8QgMNBH0tvoJMkjv/McJdekrOMwcQIc5AukEJlEOLWUZWVk7LLVKVssJSVbOpZATKWccQIxrdLHgSjGmQF8I08EYiK5Fe0VspAsWxEMROBwpxFlCDsXbRbXR27p5dDZ0WmVFdXSx2VObJGxRT8pgjFus5ov+HfyE/uIXEpPoPfnMrcohwsOMqDB7RYyJpsVdSHBljsP9B5p+8Fp4b3TkiEIM9dPkiM+xzOq5At0Un7RdM7JnrLyETldLbrfLidO9tQcdwKInkVObmldBgcDEYeNgoSk1IvBd2ANsWdcF1ILsEB0vVogiWO/OT59+fIS2fFq21JAWeCQ1nJKoOSonD5K5y/ISb/i0fCwN7DnZIkmgnQJEmt26HvwPM4g38f9HPaQ3oduBwhBFO2qOiTA1u7gAEKUdfDvJXACAcLreb8Hd5ysi6U2ISDGvDuxqPmNRAjg7PbMOcj8OPw5AFwS8UEk3AGD1jSU3YZsLYhd7pv9wBxQCrN5S7stWJBtjz6abqmpAp3p1Z61RSP3ktK92k8xuMe8BXLL+23pu0CSOfnowJtMk0hyBYATBgcIhBJO9h7z3Nf7tOTtml8Pcm1nxYTmrM0j4Lk5hVoriC3Kp8gy6df8c/Lo21tT4M8hT8gKticSXBEwOFhIBF8i2RVHDMrETC3kEB8xytrBg4fc/+RwhobGdgGFCu3ZWive2u+lKHE+8IXZh/jAvq4JX3DWD/R1TUTCE2vKeobMkhA4S15PouMeRJslK2lzMEdYsr4OyiWzkInf/OZfJzTez+7jR5Fa74WtejeIrfEJ+geF/rTgCgLnZMTgL6N7XHakOzxZAIDf/aS1E4SRn04QpqJi2kn1tLRKW7Y8y1LWZFj+FmGrndtlC2pk15rll9PqZWDW90smt9jzZJdEEJ6Mq7BD2Cz8uuTBc4yIsaK/x7XAa1wfGRoaGpQObLOqyl22KbvY1q8v8eSGktJhqwRf1QurtCRO3usO2AGfFt0PGT5b4eGBGORqrtwtlLrJH4S4QT6QkxP4hmHwN7IXCC36+EKoyF5J5+KnI0Nj0luQM4OyN33Sj2SOBeL/WMjOyWuXv97owfzKyoN6/qTwRyCd6LdF5hbYivUBX80O/taa0hKmtwssfM1apHfr6k4ksPCAE1opnEoLsVXYJczJZ4BfQn9DD/Y6JsBGkUgSAr4+J95SJgQSnPDzOUkcOoD9ThpHEgcQhMOmILVCwgR2AT3e1X3dcSO2a0P6Hsve1OxZu7S6odeiZ221XrQOYQywPVjReyk7psNOvuHkoOMU9L/ubWoav/1LiYSFMDigCdxFiS2ltgQBINimCOCDb3i/ruPlm9Kne3VvfXvZ8zc9SNfaesVJGnockk1fXNRja1N32prUHSGwJ3tFtQqkJIEHsDKYGQxK1lawubo3fWb4fM2f7gd9ymA+IXv88x27PSe5uaG9edXljAqpgsJ24e0S+Vw5sgf0CK92Yiv2sYtZkTFrC3mI9iqSWxFbRXsFhro9cSAOnmdgq3htxFjIG/IauQxvp9TRLZ+Q1hRlsld7HLtDbNFOiQMmuqiqcj8k4Evmey4ph7Y3XwvkFuSo+x9kj+N/BPsUkzsoN0wePEeGJKSW91EDn0nu2IvsOcizz33ux6/meE+JrT/50//Jy5ya5fy3yVGFxeyRk4LTjDIiZbJbGxAQT9pia9tV31wIqDswO/fJkeq0tPRKW706XyNDTnmubdu2TYJepcmvcwVI9hRpswDhmLmVrIRj9lZUxMkkVxwRSPA7/+M1vJ73onQjqQVAIIukvr5BglxmGRu3aNNu9Sh9mTYFDWApn8BxjiUFno4pwUb54uzi+BLlDUw62VshHTOABVhhnJuvuSImKv62weJ7CmSIsLLRcAoDOfIZKY5QgshnQhbCnHMaIMfF4nhmbWq01HUVlre53R1qhA8AUUuZW6OceK0Dyhoi0u/bDeiLfv/OhEtpYixR0vQC6dT1m5sSa1Yx6Wmpaem7bfnKYluzdoflSOnR9JAeZLuqBKKk6J2YaJYiSUSn58it0HOLzwqKH/AQFGGIRkFwBWeYfkooxQkBLubSSyP1WpR5IG+e9YgBCnZPor46O6fZVqaUac12eQnKtqQeW9SGt7fJ8aTpP+WIA3I+5TSE+v0Q9QiGgehy6DfjJKQby0TmwqyB1DhBySGZCtRky4hKAQBGMLIhOk62wpe8mSTfDack3DeRhickC6HxYLEMGkf7YjCdHKw+orU6rbXS/HH6pgwZ5ZNDXpaIY8N8EQUKGQQh8k3vmhC9c7ITpS/Q4dlaVdNWWNxta9NKbcOGmBW5Uwa11sF4Xx+Ru0Acx8jC7YAB2bmd4EoeAIkIJiKhBcDg9bc7OVx/YmLcQUpjU6MMuuQss1z7tdW2lVPuG8pdiIJ1SL6YryBbGHEBJ8kBRCdRHZSkAwXNPREoFPApJ7i+4z0XyKLz5qKzhOTcQFGzjjg6odw3HkwQDk6gRJfP+8EP/kNC4/1sPu5EakWA8N+zb9ZP8vi//q//4raH7BxANM4Jg2yVOCC9IPH5PxFanFnIF/oG4nhuk5NJSfr69dtt5QrZq1WbZL8K5OzusD21ewRsm2QPOt1WjcqOYE+Qp0huRTsV5SraKGQDByfaqPP8Hkd8ToPX8z7eH0ktro/c4kDRl3Jb6Q7LzNxqa9duc2If/U92Ek65Z20hU7LVkBkQRhALwWYRwcTR+5yTD0RKpwUagoOH3QqODrrt9hGjrpAnvM4dQieGQ6kgJIeDsWFslnwC6SZO5CHKWlE57cGtrMwGOc8tVlY25tkG9FlqAixovcicg3CidxH36wMbIlsSCK2n9X2eDAEY2RtIGkpxdkqXbqEMcc0OW7682E+aystv855blCOSaUM2G2VkrLUDE7eL9J0ImX0AEoIRAEkn1Px7BEILu+n2DEIrMbhPSFEc/x36jJxNIduJdQiHuST8BrIRdO/0QeT62L9IAt3iWN5GbmF7PMiCkznraEaSK2QkQPDz2uToqPsRiXIKJxkFPob0Hcje5n4J+uyuOegE1vz5WXb/A2vkj211YJydVedZW/R/4Xvs2DnpwRLsKdmM3ky+h344lOJA1CVs1GiwTzEbHBsYs/aG9LpQ6isfQ+vGnDA3HnUvH5K/VSugUGC5uYWyidiqeu3bDs0ZJ48iW7dmGCMTMXMLe4Ojn0xuJQOGOCI4eCoRiImvw25xDeQtyhqfRUuMnp4+3WO9/MJyy8qu9b0LGUtGRShrDSePzmVEzoEn9y0SPqCvKwBc6xTWE5t0K2EZR8g0CYTWicTash+weYFIlp+hteVzftaJrR9Gav19+2b9JI93g9gaGaVcmz6rgSzH/6FJtxP5g5y6Gsh8/P92YSt0F/4S9qpGun7btjEB2Wb552W2dNlGW5WywTblcxo2wHuXXtcgeWpzefpRuAp/DUx1u71iYLNuHzwfMVb097B94CvAPdnMZIqR4VxWtl22aovusUi6v16yNGg7ZQ9oz9EQG5R33nAswhw4cS69Eio88NffsmnkyvVlzDQOOtMrZOIg0Dw7ILM4CCSUZUd8BbExR2q9HgLnmmuvrJC9bNT90NYFHyA7t1n+eo2T2uhCTkislZ/d2IwN4bT8p9xnJSA7Zxc05JfTd5gWLR16HQke4Ej6QPqBNPgWaRW2OqXUNm7cbQVbZL+FXyrQt/KJ8eWb9R7We45AS5BblNb5nIRqoUCky4boO4JFgu3+WtLgsAkwZsAoXlEynmhvI/va2n5ZuGG/bZY9oN3Mxo31RqJEOWX8wizou0bZDDAGZBHzBAlIssFcwoL0f6IkEz8gtg8IRJKGfAzIRJ/7ffjbBD2E+8B/YEHpTq5BQBtSE7zIPuimPYRsBqWA7BPa32BbOShnS36rfLMSS1ldblu2tNt27K6+R632lAdisPGSGYg493si7iSxQp9N4khIrgiDe+I74AdAavX2PeUJA2C3Pbrm9p2jwm0N8rcK5V9kW1FRoty3mQz+4AsiX/iCUbYitkrOiLwdV0XbFW2W2ymNaLt4ntdEjMU1kDdkls9AlocGh62lucNKtlZZ+gY4jFoP6pEVj89DL75wAEAkjkO7F8/a2q/9436fbJX2y9HYokf2BxsU7BX2iWDa9/TZ3/OSw3DS5VwbBEpeacxP/zKCo+y5iIs/+9k/SWi7d368p8TWH//Jv3Nho6F4c+sF3+QoAVhcSC42fBtRb4EEyK9GGX7SNmGo/SSBsiHLzmm0tQIKK1bm2IoVaZaVlS3Hs9iBN5EFmM/Ozg45QL0SuL3u1KCEY4QhgoZkRcymQRn/sAGhxet4D5uA63A9IhcABLJYqndLsRTJsduQa6natPTnKNm6V87yVFLEEkfmmjZHQpHBWsvo4NCEOutAmIS6cARlrtTOFfEBKR2U8R0G/yMFkveEvleB2PEys8FX9Fk0Bn9a833Nm6bv0f1QdsjGzciqtRUp5a6AcbwgEBF80ma9JtwVMEQk4E6KVoYDkiiQkYHQ4sSH9o4nrb3tqrXK6W9oOJVYsxGtWautWVdhS5Zu9iaz9OWgxKOkZFgKen8CmECinXdjGz5LwEP3Gz/Llb6UlEcdpDQcOLgzzLyF3gIe+cUZRsHJSUa5oWAQQie1IPW038jW2rX7kDd1hiBatgJgV2F5ua1W6o4nfWboNUYfjKvWLWOJgeEQA5x7F2jWKgnUxUgQRiHU8QMwGJAoMQIiYT+Cg6mfh2U0MRgJcBeae2IwQi8E9kPsMecp4zLaOPKQjgCGdRuqLGsTx/OPeBTIU5zrzlhLE+TgNTeGpC8P6rsHsBUHte2UwgAU5AzJeJISTc+xxmY5OVK+ZG3k5jZqH2/R52y0LYVbbGcFYLxGgKLFIwvIFgx/VMDJgAGZSVbCMWLHSI7YoZjj4O+ocHFyuEZ0cgDjIyPDcty6ZNRrBMCLJWdlluvE1phVyVGo01o1N2PEcRRCRAjQNNdrKwDAgzTUTyhfiGLIRSID7vxDPnomF0OAgHIpH5CSAn56DVlaOD/U9QPMKXklsoQRBpSxL//qr/59QuP97D1uJ7V+WksN3+kBsUVAhQNLSF0HSOM4Q/LEQRYRhBZgndeiL2qlV3FocWCLinptk3TdmtRSW7Ik01atzLCc3Hzp3G16TbWcrMYAvmkiLzvCKYXJWcbsfZwaRrKdwiFBvhjIyu2D52+3W9g9rsv1YzCmtrbOCgq2WkZ6ga1JKZbD1ZrQ/1PuGPN9gs2KwQayjSmll2y53cJBDmREcETJtGGEBvuUf0wTcX3bmCuJxlnl9byXazjpLpnl+hAZEGqA/5CdE3QTfYoyNu6RjW307FUyYIgKx/slA4tSeAgDSKc4uH8ILUgi1q9N/gcOJ6QS9o4Ic0629F5quS1fXmSpa7bLuWvW50HQjDqpRvQS4hJAiK0jis41Pfs8gsqEnYLMwlZBqkXAEkDL/5+9/4yuMzvTM+Ffbrdbqsgq5pwJEhlEIIicM4hMAASIHAgQJMCccy7mVDmXSrmUZXWrg9Tddrc7tzu6P48/u8fz/Zix14ztmZ/Pd1/PPi9wiipZPbNkyRrXWWsvAAcnvO/e+wn3/YSNPZNd0zVBjEHacf3o8pLiEauumnC7ubMznIoIiRayB0PzdfQ5es2znGLkFg4/JIjbH3QbNiee4Jodof9ZKLshk0e6Ta/BieR9obQDUiv4EU5qaY25D+6LOWXPY987ATJVI7Z+fZ4tXZpmqWk1lrOtzQoE4srKOAGQExLJ2jrupCBZgMgJ9xPmLfhBfk8OcGKkoPaVD92j23C3VZw0+obPw7jWjfn3rMgO5GyvFRbslA2v0PdWW2uLbFVvr143ZvvoCUnpvHxAbFUkV5E8PWmnsENPZnD9uMFrsF0RqYXMYQORtZMnTmrdD+ka9lpra49t295ohUW7rL5+2jMFIEghBymhwvcNWYaf873vQc6ItJQMhR6ic+Wmvq5aSz+sIQYcouF2i4Edi6056wt4dzIZkKDPjDLhfud3/i6m8f7HezxJav28bNVPg9g6eICs1tc9YwmCa85H5yd/vyX/l8wR4SvZMTKcwGFkOxHIqK+bscLCPsvMbLTEpDzhq21WVFoinVgv/Sps1dcruQ2BGCpioixjcBD+GXIFNkK2nsRV8fbqycH/eA2v5X1R0kDAV8clE4f0nZOS5x7hvEbLE77KzKwWhuizBumWNskSAfrdrvshzWPVQLp3sqA8CABGwEZJl50iyzjms8+SOReEnTQ4ZIjB77ODv/WaiOgHlwHkkU/k1Ps3SUd5gFjfCW4JJ8Hf0LwShJnWPPbLj+7yxuqUmHfsPGe7PEAi/wKfFfJkgkAL9ik2+F3PUTFCJQv3RvAWggh7h60qLum3zKxmS8uol87tlt2gxYvmpC30hKSfE0QObWdCCyAOL3svYE75qQFvfsPvh15JEH4Ba3K/AVPOjrOaB8co2AXdPxhFdgFSCptGmV2bdHEgtnbJP99l5ZVjfp3oaErwHAPHgk/c7z7tU3DdjK4H0gjMMxvg0LVFQQ7WzbGdMC24looZx3vHPvJx7KheewS8R5biHOYLlV9v6d5ftVH5BOBe7Ck2nISAhoZp2dvdlpxUoz3VIlvG4WER/qO/JQEs4SlhCuw7dtx7ruo6j+r7jnqfbMp+aXcQrgnCkGuA1PJMfvkhZHdj95iDHTtmrKioW99XIXtVJBs5V+5LUg5+WVSOGBHHyEQ8uYWtwV5FiQMRlsJuRURXRHYx+J3/8Zooiz8itfhsvgMug1NH+/qGraa6xbbn1nnGFv5VsN3wF0G+8EPwBUKAMyr3jQVi4vGVbJWfxg/B5bgK2ySf4zrBNHp5RmW+jNgBQmT5631gs4tOJocSUz7/o4/+NKbtfvLjZ0ps/emf/X9sV+8VV6b9g7e87AkFi3GHyEIhDEFmyWnhuFJYbfozABToo0Bjunw5B5k5jZacUmzJyTkS6EKrra2R89CiDUsT+QEJzpgrQzJLniS3IiWM88GiRiQXG4eFjoBE/OD/kcJls+EgsRFQ7nwHTbWJwpdXVFv2thLbmlklI0Fq6H5XZFHWljeCHaGEAQadfkghwuKlmNokCGYQ6hCtdCHGwTlJyV044Ym0y08epGJSCvXxTCUIDAg0wD7fyzz3D9yS4FKjfdKVbU5epyWnN0oBD3gPCHqYEFV05dgr5ajrhvkfHROQk4KE4IKc4ydNEMc8u+4VveaRFBcgj1IcsrVOe2YWNddbBRI2J5bL+a2z/PxdVlE5Lod0WoJOH47zup4QCQ8ZfXPkFvOEQo5ILubLM8ZwhOOdYTmEztRHzvDHlBtldpA3L/t+I1uLa6usnrCsnA5LSqkVmGlzEEMpSjAMF/wEruHBh95nC6JoWp9DajCEUyBMAhEJAPC1ccMQUlK9+aHGxYtySHFKiaZz8uUFCSw/Jfw4mQhtRGixzkQCUI6h2eEHrvzpPRZSm6/5tVXX6roBEEWUNpBNcMo6d17wkhzvV+aZb6RlC4jqmr1sSopodmhOMMLMKZlazAtEcx8NKXddkMNw0J3wrdnllpW73cqrK7VXWiSLnD46HMC49j37P0pLRzaQkYgwjpwaFPGPi9qhmKPB3/yf1z+ZGQkYP3BgWnI9LNDdbiWl1QJQO6ysYsR2OADUvWufDg5ClrNvAmAKjk3ofYOB9MjCaQEFrREnurAGIboQsuzihyvYa3NjtrcChJYUrh9MoHWmBPbkaU48C5kFkGn/6u/+fzGN9z/WIyK1flHJrPjHf/yP/9mzgCCTAdFD0ktOdMk+zY7Yc6SYA9ohJ3CacDzpg4ejxElxZLIkbikQYMiRXJVIJ9ZL53XIieiT7RsNtirm0JC5FR+IASwwItkCMESggYGsxA+e4//xdovPibdZMzMHZAv26Do7rbKiRk5MhWWkVXkwBuAdTrQjawt9Ek4CDJlbBGUEnpzgCtm0IdCAU4rtCpmhNJP1rJuYQxpFX+dGKIfGtjHcIXSbJd0tvQ3R4dkF+i5ILcgnnGKyc5jXcsk9p/EBxFz/SSfOEidaL0iwKNPMS0Rjg+snQDCGr6H1Y11xXlk39Gpt7ZQ+s8eyBO6SkyvkfO4QgOoPzdClE/keDyJoXrBVlIXMzYtshIAjINLLVqVjw4gytCCzyDh6x4ELZAZkIU4+9pjrJzOsSPfEicqUAITMnkAG0e+SzDU+J8oMQ68Brii3D+TWt90RJLNgNoP4UpTZLb0WG1c4vYkMHqKisWzvkDEcMudmyw+1dqwngTdKB3FoudeoBLBVfkJZeZ+tXp1tixYnWVJypWVlNwvUdGov9XkGAVkKTS34EyHA53tK9xsAQyzjTZ8bAn30couRgrGBrfc50+t4PaW+fD/7IRybftgqKoYtN7fJsrNLtV7l1tLcIn8iBDknJ2IZkTHSGP8vAuDx4DuyUZFdikiuKPDy5OB/UQkVQAPZQ+YieTt69Jiue0ZrNyY/Z6fsFeCzy8lu2j34yaMRcaz7ijLYIlkK5FaQm3CqZwCcYV1DlklEXkZkFwMSy9dW9ovX8FontADo7m8EIjla29/+7X8V03j/Yz0iUutnUWr4kx4/DWJrer90ifxv2p2Q3UPFC/oFYD05qecmXnaAjS6ncTYJBhAfBHDRa/SXzdvebWlptZaQkCNZ3mrbC/KlE6sl5816XZcNDPZJ/kJgMyK3kKvjx0+4vTpzJiQOIANP4qp4mxXZMEaEuXg970U+sVV8LhkkgO2RkVHp3Q7p4RrbllNk6enlrqdrwCroZPnqu9DJ4CvpYzAKwfYIW4EPgn2KBWG09ymhmsVUHlyR/x0btHCJ2pnMlkTrtXNlbrF+ZcJrVMLgpweM8bq32kGfh+DWcauRr55XuMuyczusSvqQ025b2065z9ojf90TB4bu+dqNjTz2ci8CJgwyZBxPDdz116E7sRNkKVdXCQsLR6WnN1hyaq3sIbZ81BqohInZ712yawR8wdRU6XB9XgYoPOAkunDSMYgJ3c8p4ZjTJFR49hEn3YcyO7CJD/nNcxglBDsijAKOAM+j15zY0nXl5Ox0fwKbSuuAqCQxCj5h9yZmM8lC2xnHdNJ/4FYGpf0hgSFkPmPvfB3ByRpH6FN9SK87qNdrHShtxOcnEwx7AnaEyCVZAlzJd3MNHe1n3L6SVZyb226bN5XJdrTob+GJxmkvR5ztqTlA/04ypmV7tcYHZM/peXbogDCg7t8rYhx3Buw5NydvSuZe0bxrDWP2aqfsOeWO2/NaLT2jRP5Fvmx9lTBNm76rV/4ESTnBXsFZxAc5kSnkJLJXEFPYrCgoE9msKIEgPomA3/kfr+P1EamFHUTe+B5keXJyr3V19lp5WYPkrEY4C2LrgAf02Kvh5PnQmmhGa4Z9DsHNiCANewd85Uk4sQxyL2OdtVH4HbERs1NRWwrsWbBZ8kdk56JMLT4XnP3Vr/5xTNv95MfPltj607+zTjk3kFv0dyJriJPpUAR9GhBZvX2MG3rNVWfiOVEPp4iUThza3PxOS8+qs8TkAtuyZas25narrKqUg7MjlrXVK4c1nJCIAo7ILdL7cOxZRJQwGyae5IoABL/zXPR89HekcAEdbDpACModUEIWSUNDgwS5TI5dkaVlVEi4pXirpqxpxxE5zZBElIu9JEeHrKRHUr5ytrVBXNHg+CLYEphIsJ2gcQabZoJfdWXqLPV/ZQAOeE8gtILCRWmgPMim4mRGSCoc851SkNR8l1WOWoaEOjG1zgpL5IzW7ZXyPeRR1vb2s7ruS04asD5k0KEkKBGFQBgZZTyS4nwoo0fD5GAwSeOktxZR54qqPTKQPZa+tck2JZRYUgqlmjutlNOTavZZQ+NRa2/T93Re0jxedwXu5JaUyei4gIiuG/LMyTTdx94pIt1EoiBn3nPSjvvklBcfUjg0yOd5jA3Kzck3ov4y6gODN505Zz9xDZlZrTLi1QKfZJINWn0dZOQxzQ9kpIS5H6Mj4KLr2Kfvn9F3ByUcyvx8bQAXx0OmXSTcgeSCwf6ndh5B9yOXGTQZ/1W9hpJDGU4X2ojQoo8JBpNeJjGHXkYaY020pkuyw5xC6KRlNmleu52IJJugre30x4hIlLH3x5ExC2VUEITReEPz+VpM6YfoHSdk7tp9WcrgtFXLGHF8cEZWmW3N2WYlZaX6jh36/E6tT7+uZ9Rl68lyX+QkAg0o4ciZwelHmTKiSF38iM8y4T04RHwOAAFZDRkme/Xdu7VndwgglGnd6qy0jD4LB2VQBZp2YcRv614CcUykJjg2MkJE7cjqc+ONM/MdT50NBNev2iWIx1g/u9lBP4W4Qb87P20TQkvgkeOEvccCIOFUMPSQaJyk96/+1f94xBbg4OcNEH6aj//4H/+TA3EcIQiu2YHN2n3DG42T1cRrIMFxOOlTQrAAGcWhKysdlIPQJrBQY5s3F9rGjRmWlZPnzkwonwcsDIZADL0hY7YKJwM7dZIhmxMRx5GNYuDoxAOIaPBc9JqI0OKz3Gbps2dks5BdSjtaW1t1jZWWlVlsKUklslnhAA30vxMR0ieU6EFuzWauofvHX5ZOFWCCyJGOikgcCClKxkIGcuSMSkc+2XNKsjj7E2cVeye7F2U2eXaV9FaUqRVIjIs+twS3iot3y862efAI4gRb5eVuRO7lV0A0QgZBRuJEc3AL4CEiJyGzWEuAAutL4GmH9EgZJSN5XQILNbJVZITXSdfscsBAgCYit8L3MC/0hoREu+/XGhFozAuZZlHG2H7uR3/zfCC0IqItlKxQCtQqZ7paTi/ZTkVFffIniLyHkpKICOI9kEvMUZQNFpFbHgBzEuRbWvfQdysQXNGIykt+c855jBEeDI+KOogLhCOfyRodkqOOA0uABBLKgbEDtwteAlhUtMtWrsq0eS9ssC2biy0jY4dATVvotaV5o+cKzjFkKfOMrARyi7kTaBiF4HolzJtAONlvzFs0QoYdJaPsBa1hjEjeRTlO+wmrrZm0IgHHjK01suHF7oPt2NEkeeyWPRhwW7Vvaq/21ozbKWQhIreQlQhgY6ewT08GX/5rIwrE8N7IZiGns0BhYlI2u0eAvNmysmo1J52uF9ivHjjTvo7mAFtNIIq19XUFwMVsVkQIQ0i5T/Ejazs3LkJkOZkV+tYxHCCQbQJhGSOUWVtk7oc//JuYxvsf50E5PLbqv5ey+J8GsTU1RZ/Au946hH616DvXffLt0KGMKAgT6T0PwlC1Ib1WUjxoOdvaLSWlwtZv2GqbNqda9rYc+e/lsgcNkqcO6bwefTb2Cmw1pb06I51/SPr+iPAJsnVK++uM9ij4CeyEHZKd0rh08ZLbKka8jYrwVeTrfRxfzUgnTOmaB6y5uVn6WX7f1jxLSS627bk7hfvof3jM2jukV6QnIerADo6v5AOGDKUQgCHIHYLgsjUxMgLfnUGpItjpqH56T1r54sidJwlAZPE8/5euBZdBPn8MX+l7qBQgIE9CBti1Y+cZXZtsSuWwZVMumNMaytobD0oXgq3AhGCea7JFL7mNHRR+gkihtzHZnOj9/r6bmvcb/jp0BiXx9XXTVlYyLN+iQ+tVa4lJNV5xAn6hEobgD1nX4GewNIki3tvabVMIdjsxoes/rPuAJDqu+TgOQXGMhAoIPKp+6FkVxqkYRiE76oheD7FD0AZ7ND7xsicLtLQdn83YysxsdVtaWTXm+r9VurpTmNCDQuh+7U0yB6nQAtuReBHwXAzLCQsT4ICY/JGh5yGXaA3DOMB79tNmYK4lzmzAXnaTrDV0bbD1Z72pfW3NXisp6nUid8O6AsvJarEq2f/6un3WIv8tBGJCdjY2GqIxwoD0PJvhkC59L9/v18L1gjt1HZwc6JmRsSAMhBqnd7Zor9J7Oydnh6WmFOm7c620tELX06z/d2u9B5y3oJVSfEVMxFMgNxFRHBFcUfIAGIoRn0QQDZ6LMBZYLEoaiPxDvgcuAwK5pXmnFRdWy14R6Nyl/Trje7W7O2QYjkDySbb2a90JdnmSh/YD/MSJ4+ybUJoZ4V+3Sefld5DMge9xIYzwN+PXpRtI+uA18lHkp4CVzwmfxVefwYN8+ct/GNN2P/nxMyW2/uRP/84JA2puqTOmNw69F2CWHSRIEAHvNASEJQSwzgKFuikrLu23nNx2S8sQUNiSZ5s2pcuRypJzVSyHodZaWlocLKAIySwhtY/UWdL7AOFzEYZjMu5ExU9q8k7J6JPyd0aLcdoBOgMlG4EClC2kGAqXz+Cz+ExILaKCHR3tVlNTbYXFcuykeBOTCi1bjnd5mRzi2hkp5eN6zTltjkBu0YhtNgOKyEpMsCkLmyNqqJEPjdNhgf3UDG0gjuqdG/F/R2mY4URJlHmUqYTSddZ6gL5X15wsRLlSA11Y3GMpcuQTU6qsUIJeXb3HGhundc1EFk64gnaAJ2VNeq1nVUl5I+xuKKV8iQpwX24wHexp/dpPeqpnaemQ5ebt1JrV2caEItucWOZ1/IUlu6Xo91h9/SGt2ynNz3mfn97el5ygGMAwjzySQob1Jp0TIuZ1OcBvuuKa3EtpCYPmzUTCY2SXfnqvNjKd/N4j8gZS65YU8FUpt9NWWz+le++zrVnNtiWxwtLSG7y8pbqaY+RjhsEVGw74fRnzWDmODEN8hCGcZgKAoyQyEFwYBjcGckQZpD4zPh79QWDJViDDDkKLZoNfduMbMhZCE/49Uv4YOsouiOA3NOz3RpEpAl0QhBz3C0HZ0kI2wVmXI9Jt3cBrj3mTYxmePZOxod/H9wBOH2peHnj0DkND/TfHBDe3HnUDnJsnOdtaZqlbt/m+ro9lmVC+FJ+1hQOCXCAnyA3KEmcFxYmzH09wRSRX/Iie5zXxkbt4RwclT3kxGZnI+fbtRbY1o8rTiDmOtlV7ORzSICOktSJ7cBZ0x9Ypiiww3yFaF2XZRWWkoefC7CDjjhNZ9JPfIzIrlE9BaH3b+7n54QQCIE5Gat2mtG5/+7f/S0zj/Y/x+H8LmRX/gNhCnthXyBQjAgMMTmNqlzwGG3XCwSoEMw1tIZsrKsasIL9LDkKjpSSV2oYNmbZmbZKcmUwrLSvR6xr1+R36zB53aEZGRoJM/YitAjCcdJIrki+cnAgQxA/+F9muJ+0WwB55xR7iPHV3URbVYEWFpZaRvt0SNuXK4Wq18vIRJ3GwuZBFAB/KpnAM0fcebR1/7APdGnpGEqARiNDeB5h7I9yYU+pZtbFBVBXQ7gCDn3qODB3ew3sDkcHJkiGTKTiFL7lTGAW3quUo5+V1Wqr0NZHh4MiHQExkq7heiEcnIaULOYGOwe+7pUejdcQOQrbwXtasrHTAcre1OrjblFBoycnVHtGlnJQm8mSyBoLmrNs5voPrg9wKWW2UlVCeSKlqIGsCYSM9rr/DoHxV+levBbwAxvCJuDd6pmyTTofYqquTXtO+AszwPcy9l3Dos4JeC6Q9EW1IilC2EUoTIafOUAoqvUYW1tygxCQMMruc8CAiOktohf5mfBaEJGs4uzYEiMYFFHSvNNAPZTY0m26xxYu22HPPrREg3i47WmOZWU3ea6u8bND9CbKUIlLQMwnk5wWSOBCQzMUYwEv3Rxkp30N5js+VnoM4jPYC73OAou+fnTNaU6RVCizk63vxBeusrW2nbCZ97IZtQnIFaewlHpIH/Lp4OxVvo54EC1FUPH7wP0iwKBDD+wHpUfQbuUWG6WHX3IwfWCc9UK5ra9N8TGgPHfV9F/q1veQyRbkQ+54eYgS1Qhl9yFYAdHvwzEmuyK+I+RIaIaMrHJ4TDUCF96Tx11Dqi08S1tcBuuwVfsYPfvBXMY336ePn9fhpEFvje+5Zj2QDH50R6T5+QsKHjOKrrvfQKew/gqHo+Rr5vIUFvZaV2WxJSWW2bl2GrduQZKkZGVZSiu9XJ3+4TXLbrf3aL70Fttoj/3RK9mpa+/WgHT50RPvquOSLgAy4KiQOIGeB6Pq4neJ/jHichdzM4av9kodJlyEwHddQVFRk6WnbLHGL8FWWbFUZ/Q+l+8mA0j1BKBGAp+SMAAzkRqiMmQuGQzzQggN8hf4EmGOPgo2SXSIL56DkjmwgYSqCLp4V5CNms6QXAfUELFwvgjGcQEGfBwKK3sV1DWDWPsugXHDrDs3lkJ/ki78Org1E/0WtiXyLXVe94oLAdFivGzE8xZpdlt684L4G/kVl1YRXa2RmC7skVwoLV3gDebJkK6vIkp0RHgglj93SlbNZW+gYYUFOuidLNiK3IGbIPvL+wcIglNjRKJ1Au5cExoaXCpJ4wf2DtfQZ2Ldh6edu4Xgyc9HHZFOnpzcK57V4LzQPbghTRZlqu3Sfu/tuar5CAgPYKuBggu4xHKxBP0cylGc8kzf2k+fwM7SmzD8tYiCbGGQSoUOxH57IoH0APmUemee29jO+3+ESSssGPLt4/cZC7fcCy81pt8ryYeH1fd4SgLneqfdAKHrWOmV42lOUhtKahgoevpPvn9aIroMSUl5DewGCFuDl3ZK7zg7Zy/oZ7z+ZldVgyUn5lpySoz1dZo0NO7QXdmrNdwd7NTHhvlqUjIN8IE/IToSr4rMgwVHYoh+XOBDZKl4b2SpkkM+NsvgJdvb27rb6umbLz620zEyILRJ2qGAKfZz7tGZg4XGtF3uINcBWITN+UBknsUbY1xM8YgTXGfkeZ+VzeFkrlUqMEHCJfJMoCYTXe8LHyVDu6qSz7BUy+oUv/n5M2/3kx8+U2PrjP/5b48hTHGZYQIA6BBYOKb9DJnDcOEoBkMBxrtTo1tbvs/LKEcsv7JYwN1lSSrlt2Jhja9cm25YtKXLIc6XkKuRA1evz27QIPVqEPjlNROwA4U9mbwHG2TRHtBCkqLN5ABBSzAIDDJRsRGThEPE+WM2I0AIcAEbIECObpbKy3PILtFnTsmxDQo6lpNbKWOy2ygrIG8itY37PnZ0Sll043bckdHe9geDwqJw3z06SUGrDoIyJAkTld/v2xRQyIEAb6b82IMZmy8wk5Ch4z8iJCTiZBbD+dbomIqr0K9ucWGKJSRUeLa6sHNXm3mtNO1COCPhxKaMzTkZCPALwKEOAaGFQ0kiPrO4uAYWdAgqsI0Cv+ZAM5rgEt8dytjVrPqpkLPOlSPKdmNxe0GklZUOetdW44+jHyC0yt1B8/QN3nKggI8xJrlFIrkB0+VxNhGyuKKOLVFvumf8RCRjh3lFuMPYDN2X4yQI8r/1FJhnZf126lgbPJEtMrrJteTs9GwrDAIBp077s0v1Rv49h8P5fcrb5HuaXeZ4lIqXsEb5AdBENmqsT/5Gh50O2Qmh0SEoz5CWEJFlG+/Zp/QVgxuTsD0s5koUAIOCUTZpRb9/e4WTcttw2L/dAYTY1HdVa0RuNqIiAna6Z6BHlvsOjjHuzY2iEfRciQlEko6tbjk77Cd37fieQs7VmSalFtiUl03LzCvS91bMlHgBxIuFRuW88uYWjEkUYIuAQn1WCYo0f0fO8jvfwXpQ4nxUpXWSOLEyI64qKCoHNPIGYEisUwK0T4GyR0dwp4Mt9eN8CJ/QiciuU+7I+RNoCCRnWhnKp+L4LKGKi2oBCB4ZnAQw0rCQlPdYHSK+lGT2RPCJ8EJqchhORWuyNv/nbfx/TeJ8+flEf/+E//B8OQAHjlC27rYqNKODC/3GC6ENQ33DACSGIFk4XxIHZJseOpvGbE/Js9eo0W7EiwRISkiw/P89qamr0/hZ3aHbt2uX2asiDMSFih60hwwrnBls0R3LNZXHxM7JXyIq/TnLIe+grxPv5HGSUz4Q4w2b1CZy0trQLZEMSF1hKSrZt2JCla5XNKuzV9Y/L5u63Hc2RAx56S2E/AEuhPDOQOTjLEDVORMjJhZiKzw6F8EIGP2mQreyZOXoPWTmB0KAcQ04hOlvOPSRIR8cp2djDTuKXlPTKiacPTIVsV4eXtKOviVJDUEE2QhRh5yC5Pj4CoAtreMrXFkeX96NXKW/JzJTTmQwRmWebNxf7d9G/hKwtsm0clMh+BtKTchIBBwgazUkU8Pn43IQB8OE5CJooGh/p9Wb5O2SeRUe35+Z1aW3CyYieOcxpjGTN4VzL/nj5Hs69/AHAmWfIxTLjohJQSIzQ7yyMEFiZG6HcMPSKCdkJZC3IHulzAunxOQcWgBfWh4wiB2+yo/gA2NDqmlHPlHrhxXX2/PNrbM2aLAfG6el1TpIWaS/Ra4tDCZANSlKwUU5usZ9ihClzEQJl0WAewxxFNgpCku8li5D3k+FWR7CzpE/f1WIpWrOkxFwB3jyrKK/S3LVpfbp8r0e2ClmICGPkKAILOPrYqMgmxYOGTxr8j9fwWt4X2S36ePHZAPO9+j5kuq6+wYqLKjUnJe4Hscb4tOy/iIT9WHkOMiSZCCWtoWQIvyLKgmSNgl9BdsncCKQmwCL8JModZZ0EsjKsL2RZ1C8NYPhbv/kXMY336ePn9fhpEFsjYzc9Q4fhfrrky+UFIqvzgreqIKM4YKxTTnzQ47a2dr9kdMTycrtsa3qDdF6RrVqVYitWbbJNmxNte16e5DdkGGOrCMQQ3ITcInML8mlqap/2KtlbB7VfyeACW33cXsUPnou3Wbw+ZGh9HF/h8/F9LS3NuoYKy9O1pKVmy55ut4w05GpAdlR2iqwt99VjGUrSHVRngH0I6oMNQjBcmCoWEAdXeUAcHYcf70QJ410B9vf8FHTKzvhJNhBETkSq0B4EYD+pz4bsgPSI9Dk2htOQGxsPWGX1qOXld3oQOiW1XrqKk8wn3d6g27Gt2CJsCXYJ8ioQXRc9wYO/SYiAgOT070b5GiQjgJty5fumba23hC2ltlH4JT1DdkpYq0w4mZ6QXvJIYEo2CrvN9aFjxoU1IeKiEnBvVYJ/LAxDxtFBDhwQFiFBAkzixJ+PWAYVeIe5A6NKVxEghziDsOI7sce5uTstVfiXbKg8YarSsmG/bvZbS6twnnAiFUyhQodECdlMzSFtesbGArajTHEvfTIJ5NDDcup1/52xl2CR/AUPHPkavKIh30H3RoN9WgSQ2Uv1EPbZMa/mumGHbJbmpqxyyPIKdlpScoUtW5llGzcWyw8iEKPrrJmSP3ckXKfuieSbkLVFixfpaPkmEDsTwhfRmGQ+Nfbod/qh0QqG1xMAQr9js9paKPcdt3x9D20ftiTk2uYtW/W9RR6IIXu+uzsQx59kr5AXfD4IKexVfOJANLBLT9qtJ20V743wVcRv8D18Z0fHTvk5st1ZpbJXFfKHuj3A1qxrZy+SvU85opdman0g8pCJAzMhwSPKgoyqy7yVkhNd8jlOCludomVSaP5P6yT3SQjUaHh7CpI98Ee8+gxsFeuTrb0Hhvvw8/8spu1+8uNnSmz90R/9jTU0HPaNs0NAnEymaADMcRox+hBBTCggobpmrwOFwuLdoWl8Rq2EucjWrN3qQGHduk1yyDO0CEVyGio9Cg251dnZqU0NYNitTRYi4ihLNgxlTdPTRMYhumY0cZR/MFDMcyRWBAgYEGMwqZSNwKoC7mFYUfZ1ddSjFun6si0xJdXWbkz1a4R4oEcHTjO9SyDrYK1dsCFwpHB6d5OhJAduUA6vhJtUPxRyiIjDZEtwJ17XdYdShtnmgp8wQqkD5A4ZTpTexdIwEXA5hhGpRYNgZ/0Ld/t8rtuw3bYklVu+HGpOc6yuGZPylYA3UUJwWE5YyNyaU8DnfQSQgLE8o/s6LQMksCcj08QaCoTQgDyPEywz6/X5ZbZ6XY6tWiPDlFhimdtaLF/fX1o2ru/br2s6rH0gEKnPQkmG+YkILuYnIrmYI0ACZNfcgHTifoekVHgNJZ9O5ml+adRIqnIHDnH7catv3GfFZX2WTXQ+rdrWbyyQcSi2rdlNMhqxxvYCq5zo0aH75P18Dp8XMqGIMhB9h1Cb6wNGJD2cbEKfEHpxfc4OAzyeGDSgd4fV02qJHsXSaKco9wgRoDEi+lKOTkZ2xdZNe4jsAU5BgYzL0fVDRCIrIcWZfmWQkJT7XrMeoj6Agv6Pj96+674foggeQKG946Rk8KAME8Z4l2VkNlpCYp5t3Jym33OstLRM39/gyg9ng1KmJ3vZRRGGyJlBgaKII5KLgWKNH1HmSRS94718Bko3cnYA5FG5L9eRk7NdAKrAiYMqXW9jI33GaFAsoKn7Zp1CXwGaZgaw7f3sWJtYJqRH56Q0Ibo84wGwECMiAzh8YjgwIIoVO3VF76Np6AGt5Vx2JETyI/vrv/77mMb79PGL+vjf/sP/LlC61yNWZAT5kE6Ihtsp/Q8nEn2Bw1pZuUegesRJrdzcDu+tlZxUYhvWZdvKlSm2aNFaW7V6vWVmZWkfl8om1MsmNEumOtyp8WBMrIweucLuIFvIAPKFExIRXcgHv/OcD8kKgJpSQ7JTaJo9JZvF57jNkv3DZvW6zerUfTVKP1fYtm25lpycJjuaKsBQ6IQEvTGc3PJMG7JBIYwodb7gYImABmQDTmlESoSyl3iiK9ivKGsJYgS9FuxZbPA3RNaYbJ5HOO/q86JymashU2unnHqyCmqDPdm2vUkgoULOaKFHXEtLyQqa0LXuj+ns4+7EQqBwCAogg+a1DJ6bDZppPbGD3CPEC3YP5zYjo862bCm0Naszbd3abXLQqyx3m+w40fAK+iUBGvgeAlWnPZgTzUkY1+QXhIh7mB857pojzzZCFwv88DoPJmCP26TXdxyM3d+w0esxO6fdg05ejqjrDwRa7JRK2TgIQEo14zPk0Gc4gU5+4GBCgHggJfr55AhEh/dF0+t5H9kJOJF+mpP0JWWA4cRP+pyFEkQcdeaxnmBjeZ8lJhbZs8+tcGJr5aoMSxAwJoiVsbVRe6vdimTjyQLkNGtO84UspS9O1IifeXDC1OdMc6ff+TuaowDOA5lFnxb2IWsMcKyWX5Vf0GWZAnhb5G9tWL/VUpKzvByRPnZtbW0CJrt83yMDkE3ICLKE/JC9dSrOTsXbpycDMtHgOf7Ha6IgDHYL4DEL0CV/fN9O+aAVlTWWn1+ifZSvOeFQoT7fQ8FWMweB3IoI40iGkI/JWFkm64yP4JlcMb8BcsrH4XAYjK99bP1n94ADjbC2EGNkgeFvkAURBc9+4zf+4SdNffr4b/P4aRBbA4NXYrouBGEI9O0k60R+ebtAeqvAaUvzMS/D2tFwSP75jNVU75O9gtAXtuLAjOQq2ygssGzZFlu0eI2tWLVO+nCr9myoiIHcam/vkN7q1p7dLZ0WKmMigguMNDVFAgGn0k9rnwZM5eNwsF2RzUIGkUVsG2RWPL4CqwHwCfi0trVK19DIukT6JEf2NN02rodAr7TtuV3SLcIq9Qdko4Lvi05B/1KFEAiuUD5Pz14yjN3+xNqbEATfM8EJ/JBUr3vbDxq2k5ETsnLCz/BcKIkOBEYIvkQESiAwrlg3GcBagybZIXoplZTu9sBIwuZS6clqTxwoKxuVLtxrdfQeJBij68YGkNCBXg0BF4ZsldaM0yrBy/UN2AgSPEaFm3osK6dZ2KXKNmwqtLXryf6ptu3CWhyuVlUDeSY8EEumiObEyZlZG41tJvgbgvT4xxHJ50N2BeIvDJIr3gmvA4diuzUHZNpy0iEVVwSUsKcV9L+U75OivbRls3Ce7EB+QbeVyQZAGjU0HpL9lY1uZZ+GjDWqtshcJiOIaibKad2f0Bjlej2jV2NUv+tvngtBIoZeC3aW30BmVdQmwu1rN8TgmWAvZGMrCYxVDGn+uhyTrl6bYwsXJcl2lFmebH9pieauUnOn/cQ1tkk/O6bQZ/mekj0n4EbWMtdGkCq6Tm91oP9F1+D+C0SzMDKnLXOQHIembZN/lZpSbps25Nj6DWmWmbndeQtarETE8Y/DVvEBmSdxFQO7FD/iMRavjzBWlDCA/PH5yB3y1tQkf6qE1hRkqxfZ9rx292ujcl9sMT4MfhoEHvtgn7AvZPCMY15sk7AVWX2ztujHtVOieobnaEsRG26r5qrPqFbDt2E/grHf/+CHMW33kx8/U2LrD/7gL32iyNKpqQUU4FiGATgnIlojocdhgcwCJMCi4mhTdpVBE97kck95BygsWbLOli9fJYd8ixzybV6SWFlRpY3ZKKFu0aaWEu6C4CLKsFtCM6iNOOyKE2UMYGZRaZo2tTcAAZwfNhTPAzBgMhm8hwgCG4DPAoiwEVH2ZGsVFOTZ1qwM25ycZGvWb7Z1GzItPUNOTUGnkxEhaonzjTKTIoPAkVNMBpeX4JGeCXkCyRUDCx75dSb7YWDapaB/3PBmg1K2o8MPXMgACDhLTl5IwCChAP8oH8oqiB7QMG9TQrEtX6Hr3lIqB75DjqiUbymRhTGrbRCwa4KQO+yOGAAnAAdKbzR0HyhPSEqUL2nBNISvlQKrlIKjATmZPyjgjZsLbMXqrbZ0Raqt1fqlEtXN3anX9EvpjemapqSMD/hntbQKkEghoVRCBlcEGEivlvKLzRE/ma9o8D/mcHdvqEmHbecz2qWgMBbcg5N6ure8om7LkNGB0Fu7LtfWrNtuyUQYCmNKmAiDr9VJOeGUzwYnHKXFd4eoPMr2oYYMBSy+jGY43YRUXwm8xrQMxo8bIZWWNNo3/T00qeezUJwDgDvdd0RG4sjD+NOYN1HXDBmXs61FhnLYo/tk4AHseC2goVMGg2v2gYLdpb8ZcqQp9WU/7NS8dMjxadO6YozrBK4gYrfJMFFSsnFzrvZxiiWlpGt/F+p7yNpq9X1PmQcKGNlAVnBOUJTx4DuK2KFMo4FSjsAAI4rgRWRW5PREpDKfjczynWS54GRlZm6zzbq2zMxaXe9u6Y297iTgFFAixn5h72NoRkeiFGwZcdZmr4zzVCwyJ2XskSpXyAAFSn7jhoOGQH4BHHiO6DlkVij3JUMyZEfSv4CSVwjqv/qrfxfTeJ8+flEf/9v/9h8lW32SuRHt+3HtvUnphEnfayHgMulp/5TtQkKQmUKPC4B87vZ2P/01TQB/86Z8W7M63ZYu3WQvvrhcgGGFnNxkgV0ahxKIqZdeanEQToYJxBNAnOwtZCuyUwE0BKILOfN+WTFg4ERWLNI9EdkuAILez+fQxwt5xWZhE+lXQgYm9jIrK0uOXZKtXpNoq6Wfydqi1A+bhQ0mbZ8+C7PZa5Ix9AuZoTjMgdSJlf159DXqbUWZAU40pFWUraQhnRkc0uCUhgbu6HL6Xs05hARR+C4i25wC6/akcJeAQoNt2lQgnS17u3WH5nGXO4zobIJg9dKTZG/xvjD4PUZMxsgssqMgkmjmC1lVUjqoz+myLNlDiKyNG7fb6pXptkqDDAaIE8pKozkhU4hAgkfdpW99TmSvKJckAAQJAxkVssQYlK/GIvF63vuG6nWu16V3mWN8Huzu1sxG3WOzEyDsOe+fqM8HAFDmgl3H7kA2QUxA2kNChcbrQZeFks84suMoDialNNJn0l3RcCeUKHwsuDIzE5UdBvASEVqskfsSWmvuk2sOByO0+d7+7Gfn23PPrZBPlmYbNuZpP5X43qf5ft72Tisu6nM7hQ/kZKkTg/hAp92++Vxhr3yQtUDPunM+R4A9B3nyO5jvsIYC5Zob5mvbtjbviZYgOSMrctOmNMvNLdA6hSyTUD6/+2OEMeW+EVHsgZjjJ2btFLYJAAAQ+KQRgYP4zBMPwiCPksUIoCPDLa2t2psC4NuLLSVlm0aJZzCw7yDFuSf8HO4XOYLY+5hvAcEFkAZQT0YkFwEaAmjYLwI1IZM/rN+Tg3UNaxuVlFLqCCmKPUQ2v//9P4lpvE8fP6/HT4PY6uo+5TqJ5AAnTCQrLSQP7DhqTQ1HrLGeYHPwzSk9rKxA3wy5vYKIyEivt0TJ7Ya12bZsaYLNX7DKFi5eLlyQKHnKlfyWzZJb2Cr8MUoTqVgZGOiXLh+UvZHNGqNChoyTcflF+IUkEgDQg+2KRnyyAHIZj6+wVdhCslgIZlZWUk1SIH2SqWtMsXVrU23DhnzX/0UEHKonXCcQbEAHQ2j09IRScWwSPaboD0w7kiHJFX4ag55Y/vsIJA1+fMyXZ0j2+D08FwZ2zG2W/ErHG7JXBIjBV5Rmd8g+NqPPpZvKywcsv5CT4MttzZpc6ady6aoO3cdu9xMiO0L/KQLK2CgCOGSAk/nEgATCrydoAxlWVj7qCR7b5F9kZGq9kktt3fpttmp1liVsLvFAD1nHvK5GGBs8RcsZfP1ASlyP0y9ktFHZoHv1ViWvepA+DGGR2SSJQABCCHq1jM8Xthu7TQuTa44n0GVezl8+ZHnaT8lJFbZ+fa7Wq1T2jL64PUZPXBIqyLKDeNuhvelBMwhYx1gXgz8xi/dCT1NO4J0dwkUEiaKfHixyIitUD2FDwNX4KJ6RLVnA3lfVjFuR1iS3sFO4r8ESthRqf2+xBQs3W4qudVtOuxO8BGGYOyfgdE/gdOw1a4xvgo7mOyEz3efxQVAm1rNT14C9d/ulvUiblKbGw85rMAdZmovkpGJbv26r1i3RUlIzZR9LtBfqNBehlRL2KuoTjr2KsFVUGRMlD8TjKUa8nfpxGAtshu2LJ5P5LnxDfNHiojLLyNguHzXPsnOarLxsJEYcC1vFSD7aOoBRkRPKLkNZJv1EQzsKsqviq8i8dFd46cCBGMbyQAw/Y5mAMV+En54pHnsfhFbUUohEnXff+82YtvvJj58psfX7/+LPrUSbq0zOZHnFhG9yGgD6T4gsAQSIrFI5LADs4qLd2my9co66pNSaLDmlyjYlFElRbLWlyxJswYKVNv/FRbZq1Wo5UumWuy1X7ynW51RpozRoUzdrQVqliNu12Tt98Sil6u3drc0zIOEY8kUdHhqRoIYxwpCSBUwD3FG0EZkFQcbGw1lC6TY2NkoIQrbWttxsS0tPtU2bE2zVmg26pkRLTCryflIFcsiJCFN/XCPHrh4DFMtYozQTwZ5lr7vp53LFN1AADAixlBHRBynoEZTSJwz+75FhvR4h4/040igMPh9Sx0suZARQMBAkKanVtnJFpi1alCzFW2LZW5ssD3ILsFDab6VVI1ZRt8dqGrjmGTecDBxbfnIfbHrqxmtqUb6U4eyRcoCMBOC1SQHT6L/Y1m3MsWUrU23R0kRbvmqrDGaZN2zPze1044rjWymHjxKYABoEpBw0MDcw52S5BZCA8uP+vAzSR1BqQaHEUnh1322xLDKyAYORkILT/ReV9sk4tGm9arVeRQJ1mbZiZaZ+lxLOafH69XLtUe6LDENv9tgR+s2QatzTi5EgMwhlGwNzMnaQkKTCBoF/7M4jabOfNEhj5v8TRJKclJTBGCIqflsGM5xWg3L2lHGiNXJGyBrIEMhaK2O2Wg5IZvYOPTeg/b7HDR/3h0GMQAPRGh9SsNHwiJD+z35owumR0m3UGvL55doX+QW7HOClpFbahgQZzbWJtmFTkvbxNnduGuobXQGTEYkDggMPAAd8P5lhgiKOSC6UKj+jgYKOonfxWZJ8Bsqcz4uid8geYJwyxPz8AoHvTIHPrQKhcnjyO/W8lK/kCuADEAIUM38OFGT8OKVzREB7TI4JBCSnBpFK6wp5EnIxEF0oUpRy/HDQQJQ7AgcaIaoVIlhB6YYmlZR+9srZ+cu//P/GNN6nj1/Ux//6v/4H2R6cHemnol2uz+gZxKiU81ZeOuh2in53RUW9clq6BVq7PLsnQw53quRny2b6N2Ta8uVb7MX5a+zZ5xbbc8+8INuwRrov0/dylGW8Q4ABgotTP7ExUTCmX/IFMQVBBVGFs4Mzsidu8Deyghxis3g9gzKsCCTwuQBtgAIApaSkRLp3u6WlQUZskj1da8tXyH5tKnRbC7lFrycyQiHxICQghXAUIbk8wOF6JpYlgGMaA+gefdVwBxTSKjaIeIYgxE13CIOdQneHrBzIMmSXzwSk0Hw3ZFSNaR12WXZ2qyUnV9nKlXlymks0hy1uPyC3Cgv6dE9Dms8x6cKYPvRg2T6NKR8hs26P2+FKOf+VsjllsnMFBV2WI1CQkVFvKclltla6dcWKFFu8aLOX1yULnORkN8XIrX6r1pwAXsi8IaMPexiRLoxofsh0fnKEoFAgaTgKHqIU4pRstALtM/R7emqNEyD4Q2R6E9VnTpijQG6FzB5KHIm6kxHnpSX7QgbXkyMirkKmzjuuu3zsoywnZHrzfsisKEOLvlazPULcHgVSy0tCNY+lmrf09GqbP3+t/fIvP2NPP7VIfsRGzV2mfIk8S9pSZOkp5ZaducOBcyHZCpIZSlUgFSMbz1yEwdzEMhViz4U5Pez7LsqOpMF+leaLdXMyUns1ManM1m/ItWXLU2TLt7hsFRcX6T1k77f6/kcWkAnkh+Al5Fa8nYoPxPy4EZFYTmTpPZBZhw4esAMzslsCCRwAwefzPV0OFBq0bwU4s+gHK59n83b93uR6g8AZc9AcIy4pOSVDEZAWyQvBTZp/B4LrsZNcsxmQcYO18/JFSCutpZOdBMy0vjR39mz+Scgxynde8bUFoJPV8r3v/cMb8n76+G/z+GkQWy0tM9LV49Ilk+7L1UHyS07rBNIZ1VV7ncQP+GrQbRbyQ1WJl18nlVvChu22ZlWa9N4Ge37eMnvmuQW2UtgqNTVV+ihPOqpcsl8r3NOgfbtD+5ZS+jbtdXpFAshpAUMmF21g+mWzBmSzyD4BpNNDMgRpkJEoWQCc9SS+clslW4itqqqi10+x5eTkWEpKim3YkCDdvEk2NEN6udK2y/8rrRjyk8IhMDwQIB1CdieYgeA25BM2abewEcFvt0H42dgk/fQkAvCT+/EfH5EsMoLdgsAINgt7FwVgWqXzd0hPYRfKygZkU3ZK1htt08YiW7sqz5K31FhudqewbI/+t1v31O/+Nj0j3ZZIJ0J0YbN81ApTad2qwMfCVOAjcEkujej1ucmpWq/NeaFyaXmqrV+HLdd3bG/3z66ooBJmSnN40O10ILeidgKQRTel3wmSCD9KH9Bvd5QglHTN7JB94blQCXNP80NGNQkEYMxrxgEe6C10NRnsBJYIMm3PafP9hB1du3abJ00Q6OPkRsijYKeFK0lmcMyCzQyZa/gSzCnEkBNKwlu7dkF4UWLLz4+P2WCRXk+QAPvRpM8KxCA2g4qvUSsu0dwVdFhGdp0lJBbYkuXJ9uzzq23R4s2y+bJTWZzm22XFRZo7zXeN1qDB7TrZStLPuqYQzIsCVXPBKq7xYxVMJAtoTjw7UtgK+YMgwqciI3zz5nxbvSrFlizdIByT5FnzYBv2exTgjMgt/LoosBlPcMXjKsaTtou/+T+vi3AWtg58xmdF+IrvQO6wk5w6mp9fZGmpWbY5Idu2ptdYsfed3qv1PeJYkgAU+99P9B0Sphp5aHvGZIfGA9YNGYBUMIVWE/yMSn/pczeHq/gZMFcoC44NYTHKhcnQmpjgACHZK+1FyNi33vq1mLb7yY+fKbH1L/7gT620stuKSnusSButqKTP+/n4EGgvciKrx1MXqU2mlxDp7EQwSbVM2FwsoLBNQCHZFi5cZ88LKDz12WftxRcXaINskqOV4ZukoKBIyrtCG7pGi1InZbxDgLxVQL5Dm22nlCbE1E5twi5tyG4tVo+EpFcL3OtAgE3FTxacdFg2GhGKSOGSNgi7idKlpCQvL1fOVLolJW+x9Rs32LKVq23xknW2bn2mEwT0ViBzC3DEyUtE+nGyYeJx2NwxhpBokTNMqaJHfyXcEhQ2EixwYIsDY/yjQ8/r/072SOAihYvDBClDFAfSA4e+WI45Coaa7A0bCjV3ibZoYbI2spRPWoOTW9uy2qQgNf8yfoVyuEulGCqchNxrVVJGZNyhNCu14SsqJ61cSqq0fNxKSqVAioPR3J7X4dF1FPAmKeBVUsCLlybavPkbbP6iRFu9drvmi9MImz2SAaHCtVEjDvnE/BCtgJByEjCm+JgfCCuELJon7pWfofcN/QNOOmkYpfAyzyhdnGqi8xhDSKGklAqBOrL/ZMwXJ/s1UQ+/jUwyDI9eX1Utx0DKKQIsHAuP0fSm0j00FyRjYS6jjFNMIBiHZARIUQWAfOLQ/0L66l29PpbC2ktU/Ko++6LfX7OUKimssP3ehF8AASOxZFmqrVyd6cRcbq7kqVBrVDam9SGjZDo2Z8d8DvgMiL1QfkM/IIBCICQ52KDWnR5IrWF9Tq/LWzrlOEkltm5Dli1fuVnftcFS09Kl9MLxtDjsyAEygYzgmKAgcVZwWlCakFOQVChjAAQKmYFyjTJNULL8/5PILD4P0gxZhEiOwDjynZKcLmBLNkWBZQlwBgAe+riw1wMRSUkm/cYguOhjcmNuXWgwTznpyMtBKVPPT8r5JAMQANjjSH6iVpQAf/xvolj0AaBJPf3xBqR0e7Xu3Vo7iNW/+Jf/U0zjffr4RX387//7/6G9fFDOFaW+vdJrECg75Zi2S39q5La7PFK+hszQ5weQDTkCqcXeXL8egiRJumWdPff8UvvsZ1+0p556wZYsWWlbtqTK8Y1sVbkcmyrt8TrJZ5Mc5FbJV7t0AE5+t/Zyt/ZV76yNoscJQL2vT4Of/QOxn/0uj9gsgjiQz8gowR2IM2wWWZeU827fvl3XSqbuFifaFixYLluwVr9nepkHAJz7g1CqgMyrkF6WE04zcLJl6uQw1tWTZYvMQVIcloMb09Ht9A4hGydEYT/mDOKgxpzCiMgKhPtcVg5lA57FVD0unS2bIntCiWRaWqPmtlHX3uuOMTqsUbquoV6vr90vHYATO+H/Ky9jQBgRRBvxYEsYEJL9s8COe0SHZGTUWGpKmW3aJFsFuFu80ea/uNqWyPFdvz5H/keFX0O+nNMoA6mifNSq9F2Axppq2XPZxPATcEI7BfquQcockNOq4XqX5wEtsqXyA4gQE/SiFyWghCxvovwZGZAiPXrNuO4x9Hxknpg77A3gBMeSQXkipSUQ7JBTTnTECI5ActCqAN0VTsL1LCANf4+cRsr4ATah/1f86WmUqocyQMAiawMRV1ExLDlo87Klp56ab//4H3/WPvuZ5wWI19lK7fd1azPlTwjMJRXLOa60bdmsGSclBh+olP1UOeb7yAlT94EImjFHgcQC8ADwouxIfALKzul1ViK/EeIvW+uWnlZtGzcVCuBlaq02aN3WWGJiktZ1m66zUp8lWyWnPWSY7HIZwbaMxzIhvWR3KgRj3D5pRFnHc4GXA3N2S2O/XhvZLSeZ9TnYrIhMJnhKIAagQKYzRNsGAZj16wDj9AraqTUf8vvnXuf6w0lm8CsAoD34enMN9kMGPyW/IRsyZIvHskq0hvEj9HULgTUi3TxHRko4sCBkSIbg2WX77nd/L6bxPn38vB4/DWKrrW2vlZXuthJhqFJhqXL50gRfykohsgKZFTBWjxUUEoTpcFyydStkfrmT0WtXp9vypZvtxRdW29NPL7Jf+cxzsgmLhBM2ua3A/ysrK5WfWSG5rNberZfub5R/2aT9TgKBMFV7p3R/l3XsBFt1SX/skh6B8AqZXfh0jCfJLOQTUB/hKzJYyGiG1CJjzG3V5s3SzWtt0aJVwlcJLvdbZae8t1TFkLDJuPQtlRYH9TnBV8cPhHAImaEhK5QqkMgeeSCGDCFhJ4IsoTokGiHBgNcwXBdGNgus0Uq5IAFi6S59b3X1mHRbv+aWRIxmS0mpE6aSf5q32+pkI5obhPMIJAuT0FYEvz4kAoxqnbADwxpUKZHgEUvyKAnrli87nCP7AG6hAoaMo7XunydL726S3k3zU2kztzZIN3d6wJvPJYgQ9YUELzEPYETuC78Yog7fGKLLCbxBjSHpG3rwYgf0N1lvBGxD+5IwH2DMdtoEyOaTdcb38H0cQpAjvJ6UWOoJKMuXp9pqbz9TZlRckWGbn7fLfXYyBiGdsIPgs7qG/bH2N/HBodBOgD6bUUuB2aHnwbghUC/fQTgHLI1Pgv9AAKS8fMiKimVb89osI0u4JrnIlslGPf3sco2ltmz5FtmLQksXlqLZPWtXRBWR8FS1bDkY1DGFcBTfA2nVQbIFiQPCmu2yi4w2/Y+90AzW0uvBbfW1YKsJX0uwVU42ZYiVkqccW75iiy1ctNpWrlrvxHFBYYHkqtJJY0im0ErpR7EV9iaQXPRhDdn7UXAGWxUNnsOmRXYqwlh8BraKACitL7CJ8Br4hiQubNtGm5c027Au1ZITiyxP61VB1pZwJac6ct/IUPBB6C3KgUJgWuwRWcYPvUx1z/grsj9gq4CvIKkmhLEcT+GfaOCPRC0peH00OExgjF5l+szZ6jPtvzfe+G5M2/3kx8+U2PqXf/FX1j88YR1dI9rEfVZa3i2lJLCQL6CQB1Bo18SicFvd2aQ+GWGgZwOZWqRdQkIsXLjR5j2/wp767Hz7J7/8lD391HMCEKvlpCfp9dm2LbfACosqray8QQLXpk05qM03aTs79lnnziltGv2+c48WdFTKb0DOeK8Eo0ujQ5uzXRuLn0HJNrc0y6FrcuVNhhYKt6amRk5ThQNtGgFnZm6V45tkCZs32ao1q23+wiUCMkvkZG1y4iQtvVoKqVGOa6sbFdhjWP3KyiEJD2mjE1YnBw5lt4MoHv2mJBykEtN0rkOCsxOgLoXqYEHKNX5wmh3MOan7QeFSIhgJOWn7UwIIY04c5cqgkVGQmFhla9cU2qrVnOJYJcez0wrye62ooE+O+4AVFg9angR8e3G/FZQMSznAesupLB2V8pYCl7Es9ucHNdcDui85m3p/Xl63RxVIPw0KuMAJvmUrkm3+gnX29DPL7ZnnVtuiJam2fkORnPgaKZVGj8ZzDfkyUhCdpQIhFUTWpfAg0aqlJIhyBjJQgEbzA1GDIuFeQ482QJGAjgxHAA+h90257h1CESI1jyiv9hZrsnlLkUeYly7dYi+8sN6WLE31lF76g0DsQW5xv87gE1HxbDLqrylBIYU2ADjmPTD6MppySoPRCNl2AIQfGR45IupB6U1Io8XIeqZZxzkn57gfnPsaKX2cYEBYhpTv6tVZ9sKLG3TdWVKSVZa1tdkjQfkynsXFQw7mqgXw6mqmraFWBrSOFPQAsABbZNahsCHBKiEl9fpSrSORFNaNe0+iBnzTdjkRqQ5WFi5a4VkdOOg46iHLpF7z3uxKsaur25UwihJFjNIkEocyjiIOKGQUK0qZ0t+IyIqid/EZknwOnxeV++LoIG+FhYUC3Fkymim6fwbZFNq7uTJGuvcKgVr2CPsjlPCckFygiIlWoYxDrXzfbspZyXAUSBiEZJRChuhyoBCy5xijKFd+jj32qEGUvj5MH7chTtm8K6N/Swb/ur7jsubinHTGKfvzP//XMY336eMX9fGf/tN/skuXrtjx46e1V2e0vpQOCBTkN2oP1nt5WiZlY5k7nITAMQJkJyeVCtTn27p1WbJJOJ0bBBRWCigssWc05r+4wpYtXae9S2+HTOmiPOm9EsmV7FVZvZxdImedVlvLqYW7ZXP6fezY0W8tzb3aX0TXujU6HbC3tgUCrKMDQNGhPd+m52S7WmX3AAlNzdJZjfpMgALRbwIxeZaFzUoW2F6/QSBhuT3//EJ79tlltmDhJicsUgTAieRvE/gpLNip93VLV/TKCR3QdQ3LTg3rukY0xvT7Hl3fpH6nJxnRvX36G8A+R3hFDirg3QdOqewahA1OLOVp8Vk5EGmUmpEJB3FIACQrq8OqpNtwqtGdIVs2NBsngohso0cBHBBd5eXSbXKeCwmYEaQp7HGijs8k8JKTI2Cn9Utj3ZJLLUHr5vZgWYKTWs88s8TmzVsh0JCitSqQ/q2xbAEpD8Tk94SAgmxidZXskvQtRBbl+JRYNO3A0SZb+IT+5ncBAEoSajgxc1LXNeLR7RDIg2ALmROpqeUCcIUODHKyWxzYkIEBKYajPwtOPPoeCC4ACfMQ+n3ESHvKZ+RkMkIGFnqLLKxAXoURyJIQhQ8ZdHwm9gsQByD0cg7pUsgnSC3IwcKCTs1FlS1Zssl+6Zc+Y7/0jz5jn/3sPN/X69YlW+KWbZIJAGmlQEK93tOi9Wy3inKya3u0j3p0//SbEQAvJ4trVPZo3AGOE1j8xPZreKmvA78hzcWAk5x5+BeSPTLGErcUaw/jF6bKL1wjIL5Mv4feQNgLwHGDADi2KiqhCrYqZqdGgp3aIztExhX2CRAQSqb2OTAARMwGX8jKesJuQWgB0iN7hdxxkBE97MiKTEmhh91mXVeybdqY79dOWQolzFUCPuxVCNqQwTaXteCHIGivf5zoovQlZEJ+nPCirJcR1tXlIvYTYMDr8T34DNYXgM73fOtbvxvTeJ8+fl6PnwaxNT0tvbATHNFnJcU75cd3+OE6Bdu7LF+DbBHIrO0C+Nu2t8jfFraSPiMbNSEhT3pvqy1ftsUWzF8nO7DCPvvUIuGrBdKDy+UHrtNrtnjiAPu5sCgkDlSU10v37ZBOa5GP2SEw321NjT3SfWE0N+2SzeqWzdopndwhnb/TAXuHZIST5N1excisCF/hV0b4ilMQCcBQgpicnGwbNmywZctWyFdfYs/PWy37muGHiEBIUBVTUtqn9wlPSYf4Saz4gWAE5Kr5mMZxH7TeoEQMbAUpEREVtOUIFSJR0FyDALoGz8+SKPosyA6ylJygwl5Vgoekm/I7ZFOaLTW9STar3Wrla++SHh3qu26jktcRjaHBWzY0IAzAYVbS5fQlrqneL/02Jt1KWfxu76NFsD9PtmF73k7vL701e4elZtR4huoG/PO16cIsm5yIXLhgo/BcViz7iIzrLtns3T4fnPRHYCWUqB5zQoZ7owIF7EjGkWdDQfZB4slP9uEklmyB9A96iAoS3jebGSXbXt84bdV1E9Jluv+iPtueo/tPr3eSbfXqdFu0OMEWLUqw1Wu22pbEItfZlOOR2V7gJJLsqK6zWLa+vGpEnzVuNfXSifUQXZCUIamAUs0wIJlibQbIiIqtw6zvUKu1qBkX5hv2/VBQiG1tEa6psS1JBEDShM2X2y//k+ftmWcX2YqVW4R1tml/CfdpbrO5ttx2zzDG9nrwCvwnHEopL3tqB7oa/KnvJUuPnzzPIV6eJQ5elV7nvdgsbDxtfrZm1At3l7issW4vyBdcuHCZcPAG7eEszQPtXmSvGuslE/RebdfadEpn90p3x2VBjkB0xUp+98pmTQWiK9iqMGbtlduqkM3vtmpgQPYjEFrIIvKH3GEnsZeZmWRrJdnqVQneyy4ro86KC+T3aQ4adX9wEpB78BD4CAHrhpLMUMH0kjCV9rns0Khs0ph8jrFhkgjwSQK2CmW/oU822ItEg2gMD8qGcajewB1PEonsFdj6lVe/GdN2P/nxMyW2/u7v/s7OnD9nR0+ctMmpQ3KiOAq6W0YesFDrbHNmRpOD67R0TpKosqTkMkvYIodTk0xfLSKpzz8noPDZRfaZX5lvn6G/w/NL5YxuFPhOl1Ip0QZp1iYfsfadRzTZF7W492zf1Ku2fx8NV1/TeFUODM1tiU6SUiknu4PUwwG9r1PguFWCJYVdVytBqZajXaNRLSekyjcAKblEEhwgCGiTIpuQkKANu84WLVlmz81bYL/ymXn21FO6rqXJ7qjSMG6rBCc3l74gnBgkR6+iS07NbinzQWvU9TbWjVp97aiU4ZjVVI5bnYSjAcZdAttUd8iaG49IMbGxTkjZAhRCw8EQ6SYrB7IHIZeyrZv0CAYCToQ0EBehTxl9pTZuKtN1N7pztaP5gJTWSevadU5zIUeq56J+lyLrPONpneVy3AuKxmy7lG5uPtlYPTI4u2KjW/cE+OiUcLa7kdma1WApnAa2pcij3WHdNtgLUihPfWa+ffYzC+35F9bailVb/UQPGiumpWsP6L05cvBzZYQLS3ZbafmQn1JIzXiZrrO0fMQHRBXEDJHy6gopEYEdoh8oHy/tiEXCiVKFslaAja41r13rBQittKSkEgG4bbZKoGXRwrUCMUsF7lZJ0aU5sQMRSTYGAKawsM+KNYdcS0XVmOZ1QvMbIgweiW+gPDOcIBbSVskWCg5pT88nD4wFwgpIwWBgNL1nmRSHK2qIPDn85SVSzjJsmaSwbsqzFUs321KB5aQtuVI6cpyz6iwvhxLSVjkxO61EBr6cVOSSYasqnbSaCqIG+zU0T0SIKiDKmBuAwpCMESUduwTyKKFq0L1XWoL26wZKqJYI4AnYPffsAu1jskyS9bpcGaMSyUG1DGa9lHqTjH1wUqJBBI6Mx4joGugfkJwNSbFS5ktG1lzPuifJrPgMSZQuDg+ODpmRODnp6WRqJdrKVRtt2YpE7S8Bha2tksVeORaDIctO+6CmXsZcRpHDDwDOADQISObbFbJnQUJyvWT9u2/GZdoBFgJoiICfA2cHBwBoQKAUrvdxE5DW50BItrWRYXdce+Gw/dmf/V1M4336+EV9/Of//J/t7r17duPGS3bx4mU7ceKsnIVD0rl90gf12ocVlpZaaWmSF5zJFE6Wlb7buHGbrVmTHjK1JKcvvLDSnn1uuc2TI07a+8pVqbIT6bZu/VbZqyxLTS2S09MgMIItGJUOOKC9f0pycEFyQcNwCHL6hVzQnqXPgZzTlkk5dEOyG+1WV98sfb/DySscFAYp7QyyVWiiTbZjeVmlZIgDQgrkvPG9KbrWDbrOVTZ/wVJ77rlFkvNlcrTWCciky57lWlpameSK0sVu3TdyCrA/bDMznKhz2g4fPmOHfJzVc2flSJ22kdEjkqtp3QNEFxH0MQ0assYyc3AG5WAzoiwdj7AS8ZbckslD0IeMKsBYdnabBr1J+qVrjrgMEuEj6kfPodDXgVMWaYAbSrEo7UZOccAo5ygqkt3K7bQcz6xr1ec1h6BZRq1sYIX0mtZNzu3qNRm2dPkWe2H+Ss0FwG6ezXt+iXTfRlu/Lsub4aamNlhONo1mAQwHZI9PuB7huogwcty4n/Q4xWmCb+k63/Ao5PjYy9Ijd6R7LktXcF373a5wCmJWVrN0b52lYjPl/K+TzdywYbtnidHUlow5d6wptZEzj52hqT7O5aw+w8HsJXM7ZA5DfnBoTPQzIjX6PMM79AQhCkrmTiCyQjlHlEEXCC36ZgZnnQb9lBLm53cLsNVpf2zXnlls/+gf/WP7zGee1j5aq32VJ5+mVnqQ7KgB6U6yoiCFOL7/oNbmsPbPIc3Dfv1/XDZvROtPf7TdAiEAnB4HY2QoMLwdhWxZlMnPfggEYKOlp1W5vG2QDV+zOsOWyS4ia8/IVr0wb6ED8ezsHL23SHuqwmUglFDJXsUILsoFsTmM0Cso9LbDNoWgDP1Vw+/R4BAGXkOJsGecyM5hr9pipb4cBlGj7yorK9c1h0AMGWQrV66XD7ReP9OcNCZTkPsio4Z+R2T6Mc/IA8E5DqiIL/vFP8BPCOsdegiFLPFAdrG+gwOhxDca/C8EzuayLLw1hdbXfUZ9/je+8Q9vyPvp47/N46dBbN28eddOnrhg+/YesZ0dQ1ZZ1mb5sis5mVRh7LCcrCbJZ6P82gZhpDonGPCBN9EDck12rApmg/TdKg8+PyuMtUj2a+UKsqQ22do1Gy1hU5L0X47kqlR6oEF7XDarelAgf8I62masW7app+uY9XQete6OQ7azfdraW/Zak2S8vn6n5KJJeKpBvrNskuxSveQRO0WyAPJJNjH4Kp7UQn7S0sBXG23V6lW2cMFi6R2CMPSrTJSuzJPerHHiBxKDbE58/lDmN+4kQ12t5Kp22hqpZuB35KxeulS6rdnHAf0ejYPywQmY06NMPz1IEQXNQ7UDlQGUY4MzyCBFLxYWCRPldQjDNFlaxg7Lyu7S/c5IDq/bxPgj2y+7NC37xImCtL4IfXZlu2QrJvc8tsH+m9bWetoqKqcsL7/fsrfps+TTc8gWhBY9tTjoikO4EhKC3guBZ62Z7PYLWq8VWkMCMFtl18ggJ4hPMJ8T4MleCvhIdpgsJCfSdX/CdwSCGFTDQFpxyNZO6RmGl9bFiCzPihLODOXhUSXMhLDWkHSdcKHsa1ZGo/Rbpezpdg/svTh/rc17gQw7ytQzdO1k8pbKd6rWa7U3NV/ZWrttmjv6GxeWyI8vI7EBX37E+yGDYyHPwLTe31Lzz6Bck+xoEhhYC0i80nL5DqW9wqsheMXns9cp/2O+CFQRjPlH/+ifaB8tsNWrNlvCxkxdEz07S7W3q6WbGxyjFxd2WinZgGQZax4JtJGtTOY65CnZ69W1jAld44TmWbizSphNrwkZkv1WIGy1LZeeq42y55Uub/iA+FnYz2eeJYN/mftjudu36X3F+lzKEms1141al2bpbAiuDulwjZ522ZydtruvywYGe+Rv0eeYAxyGbXxPSCJgjI3TY3VE9op2S2RI9rm9igitqPoMfxG5C60p8PnSvPpt+dI1tnplsgfYcuWjEIRjjpl3km5atW/atWc84SZmk0JSR2gBM2uTtK+HKHsVpqKVUsBUEbkrPNUX8BQ4zEcvvaXBVtfibFbotfn48Vdj2u4nP36mxNa//tf/2o+fvHz5ip07d8GOHTslx29ak6JNXN5sWZlEvHE0y73katPmYlu/KddWCwQsXyXFu1hCPG+lHM5F9vRnl/hJPIuXwuQXaEHqBQ76NdlHNGHXbGLPQ5s58Lac788b3fdPnvyGcazkaT9eUr/rb476P3r0S3odXfcfC3gzmUSQR7VZqd1usKKyCglaqS88ZBYKl0aGKN2tW7fKOCRJWBNkHHQti3VNL8y3p555wT771AsyDsukfGUU1mXotWUSCqLpRPf2auMdsv3TJxwYHD121o4dP2fHBJ6OHBVIOHBKTvpJbYAZbZoJa20el0KesNoqCXc1zDGECmV6can7cnopDamBsZbg0cSvuFQgTIKJgsOBJjMqMQmlU6LfmySgez1yB9M6PHrP66mj0xg9hV1zODJ2z/r0f44+rW88bGVywogo5ORQCtAmw8OQAs5sEVCAkKx1MnKTFMlaSnEkHIsWrXdS65nPvmi/8svPOGB4YcEyW7JC80aDweRaGYRu44REsm1atYkh1/q0jgMDlJDRZwxnLYrIn9b9H5ag4WwHcgYlwkAA+RlF6InOczIjPbUojaQvE6mnm7Sv1gjALdP6vPjCcs/++8xn5tu8F1drz23zEsoMnIKcNm9ynyuHvlDKrUTzyskkKNzKGiLMk16SSU8XMsu8R9gOGUgZDXdISYfW/XhmF0YjNqKyychY4Mx6o0gZnsD2j3h0Oj+vzQ0VpU0JCdkCwSVWXdmoz9gloCvnulf7qXfEdnWPyrEYtbaWQRnuXquugODqsdLCOaCAIx1AAj2ByD6BoAQ8ctoozSjLbWNCgWebrFqeaIvnr7F5zyz2MpPnn5uvPb5ecpahOcmVE1EsMFIpJU6ErVnrAfPf7qOpiQhdt+59l4/29l1SgN1SUmRhQV4FAutJIgtlG0XwyNLC6QmlUzhSNAvdqrWTM7NOIGHpMgHyFbZsear2W5UciTbbrrV2QlRAEOOCHFRrjULp1JSujSySQx7x8ZJSL/c9LxkLxyyjSOfS0DmZKwCDkJIe0tEhKymvckIyOopZaxiOzp6WY7bX/uRP/iam8T59/KI+/st/+S/2yiuvyJg+trt378lu3XCbNT1z2Hp3UyIgXZJSaBw9vnFjrpPkkB84T8uWbXLH5QU5dM87QNhiq9fQe6hAdq3EB1HXtPR6OeCD2kPHZROuyDl5YHunXjf6IdFkkxM4OTXGT46RnTp08HM2M/22TUw8ll68KpmhASun2LZalXRCdVWddHqt9mAIwJBZSRCG0kMyLbfnkqkFqUUvrU0C2Wtls1bK+VxhCxetkSNKT6lk/W+rXldsjQ0dNji4xw4eOmGnz1ywK1euC0Ddtjt37tmDBw/tvsa9ew809Pv9R3bn7kN7SQDr4sUbsq0Xbc/EEckIjbKHZLeGdX2k98tJlTxGgxOcyM6hXNAb8EtPobMpy8uSXoLUKi4ekW4441kp9Iai5x0nwh3h1B1O0okbNEynpxT9hchWIuJMBlVB4YBsVKvsXoOly6km0JQsO0XQCSJp1epUW7pss82fT6bWYnv2mRdtwfzFAnxrNE9bBOykezZXaA7JpDsonXHRiSrKvML1aL20Tn5stfsYHGX97dnjq7k2Dp6guSrEHI4fJB/BIUpWkpLKbUtisWd4U8LBoIl9hkBbgewX+8SBWi1ZcQJplCcSvY6R9gRUPCvOAysh2ycaEF/uIPJ77Cf6i8Hv3iNGn0FmHZ+HjvQIuMBbVC6JTaUvJw2Kk3SdELfznl9mS5eu0pxmak52SC/K0R4Z0z1Oy6857A1s/aTBSxft4qVLngF5/sJlO3v2kvyx83qN/L+9h6RbKSvtle0mE65Vc8wQ0Nm+Uz8ZZNdpL8Qy+CGUE7cUyu/LdnlbulTrtoAedku9NHLe84sEohK0vul6X47WvlC2qlx7r1aO+Q7NHfYFEopsfhz8nW6fOjt75A+Fkl9vRdHbI1kPA1AQDf7HaYsEcTw70jMjm/TZ2KsaJ7Xy8zlhlL5ANLre5IGheS+QEbnBs7a2bg2nRkIUMrcAcYBZAKB7BNjIOtGoh9Akc4GSGLIXOP2YNSd7b64fDZn7Di601tHw9YWolOyQHRlKdiJgGjLwvvbRb8Q03qePn9fjp0FsPX78yI/3v3jhkh07esr2jO8XFqL6Yof882pLT6t04jwlTXovhVP6IEdyJT/0K06S/Kz34AuYasEC+liluV7EtiFnG2irklRsBXkCw/Xj0n8n5Zdftz2yWfv3vm6HZt6xIwfft6MHP9B43w7r70P737SZva/YxIj89z6yosjm7RO2ahOOqBNGqZJuqZC8lLmPV1IS8BWEcJSplZKCPaJn8SpbsmSpdPJSD0QvkcyvWEGZW5b84kLZ0hrblguZs1P2o8uKCnfJRvdbRemgVUFylcv+xEZN1bDVVo/Ehn6vGtFz+r1SP+Xb11TvsTrkD7+RgHlVKDH3wItkswLyQjgg6rGJDBM0IVMrQzYmr6DPGpuOeFkfPYc4lCOcWsvJs+GkuKNHZNM5AU5246DsPYdIkWWLv4m9KiwatAz5tCnpdZYMiU+CR2KJbaBkdG22rV6VZks98LzSnn16kfyMpbZsyUatEydGlkon11lmdotwz06vgqHpPIFfSh45CZOSfTALrWVq6oQdHU8e1Pockn4gSSLYgkBkHdHzNGGPkXqeVb3XKqSrIKBCRpLuX/4MpH2CMARBokWLN9pzshGffQoiUutGyeTKdPnvufKFioX1tSf1nrStOyyD4E4WJJ5wGgkS28BstH+QT6/rL6bMtowWAIG0DAfLhZJN/IawFr2a+075DrIVOU1O4HpbiIQ8W7ki2UmtzwjLEIhZuHCJ7Fiq9km59sAOYexO4ad+x1J9vePW37fXBnbvs/7efbbLMfiwkQ1ZWdmr7yI7sEf7VdekMdtOiRYHnkQR4U6Caa2OIyG1SBigygQ/44UXV2leXtS1PKfrotw3QWuWoX2fq/cX6r7KZHvpFV4ne99oOxobrZme4c0t0uNt0uchmQDs5L3De7q1d3bZ7r7d8i36fBCswXb16H/d3XPJAmQvQ2hF5b5wGxGfsWXLZlu9enWQswXr5NNSBtxoZACWav/gD5AB2Kj90qS9QqINtsUzHWOVS2QB0gbGA27CS70MDnOItU6KMBaH0YDnwVP4J2QF0vh/tleZZ0jSTkd7sPGAfMzPx7TdT378TImtf/Nv/o1Awl27deuWvfTSDbt69YqcHCK+ZFaNapKbBZxLbL1Awuq1ObZidaY3HF+8fIvNl9DOe3GNcfrO88+stMULNtu6NTTM22GlxaN+pO3IwB2b3vuWFOsX7MSxr8qx/KadPfM9O3/u1+zChV+3Sxd/0y5fCuPSxd/w586f+74csO/ayRMf2bEjH9qB/a/b6PANAd6jVls/aEVljQLMRRKW7XJEtslZyZaznaVNmK5NsEUbkrKwNVK6i7VBX5RzNd+en7dYDswqOctbtKGzpVBqtHADNrX/iJ06LQfv8k278dJdu33nvt29L1Dw8KE9ePTAHjzWeCSwIMBw++59u3L1hpzkC3KcT9rQ4CFra5mUEI5ZFQ5QBan6NMIldR9wQPmGhFyKBhKD1FxSWGGL6VGWmkoaZI0c+Rpt4DaPYvTK6R8ZfuR1rzRu27+fhm40yg4nE8wc4GQdnntHCvoNP1mEk/VgbYk2Q2pBlqWmSvmmkCIr4eVklU1yzkltlvO7cNE6GculUr4L7OnPviDAsEBgarWt25hmmxLzpMx2eAlZa/s56++/407/vum3BAI+sMNajyNHBBiOfNGOCrAcETDgFKd9e9/20x93774kp/KonMkpLwsBdJA5ti1npxQKJa1E6NvcGcchRrkAZKhxXrU6zfunzH9BQObphVIw8+xXPjPfnhMYXS6jQVN5yB5IraISGttPWcOOw9aGMynB9Vp7CS9RjfYOTi48o/8fkYE4YNX1+626jv4glE7qfY3hZMmQVadBVpZeG3/qiRsKAB6ZZp6+yr3outOrPQqTmJQnJV8ph2K3TezhOGVqqkMDwaNHjstgctz4MYG6wzY5MW2D/RPW3jIoo0w9u0BCXpuMT6s+s03zEwaEFqVUkJGJiWW2kejdWppdJ8l5WOeRoKc/s8Dn5plnX9QeX63XpGheci07t1jGsk7O+C4pXkp6p6SQpgWcDtoujZ5uAZbuwzIWB+TQ7NH/+zRHodx3RzOggjJfegm16PcmGfOQaUIqOtG7+HT0KDOSdPSNGzfKOAqML5hvzzz3okeE1q3fbsmpNTLkTZLTNssv4LTNLskd5S6cdNKnPTagOZZTU8OhAHv0XVMOFEJ6toCCp6WH01kguzp3omSDovUUbCltgMRcCVWMkPQ1nNYepKxzTNc7YH/0R38V03ifPn5RH//n//l/2vvvvWtvvfmGE1z37t+XzXrJj08+evS4DQ6OSc/WSpdkyRFItZWrUry/EJmpL7642kktwMLKlRneRJ7T9tLlxNFENTe3y3UWhp++NzTR5ISYY8dls05/286dk806H2zWhfPfDz+xVXru7NnvGoEZiJJp6cnR0ZuyLWQKEhxqcketoIASeQIwAIRcyTw2K1vgJkPOXJJkKEHXutYWL1rjIIHj3SHlkpM4eapIMthi42N77eLFS56xhs1+9OiR5uFVe+211+z111+3t95+09566y2NN+3tt9+yd955x8frr79hr776mr388iuar3u6lxuyHcckP+OuK4pLGH1yDAfkIOJoD3pGEvbKe2vKgUJHZWa1SuZ3yifY6/1P6Bc0M/2eE1cQSMdPfM2DVSdPfl3z8U3NG+NbMSLpIye9ILg4op0yLGQWvZqR3iB9WiqwRIn8NtmBTIGkFFuwKEHrtkYOOHZ8kRNamzZull7MsMQtufpZYSXFQ9IL5wQaH2vu3/XTUlmz02e+rXX5p7pX1uw3NG+/aRfxMTQuys84rzU8d+5X5Wd8R9f9da3dl/T+dxzIYAuys9t1TWW2fn2erVlNZrpAi9aEBvYENCgZoi8TAMJPLOakTgBYjOiKsuHIHqaHl2fFyVYRWCHS7qSGhh8fvwMSPhxcw0CHeXBMNovPoYQnZD2PO2Aga8ptUVQqmUxTYIi3JIGYTF1HrRzUHo8S0++DRrZnzpy18xfO27Xr1+ylmy/ZrTu35Ovc9n3EuCPf5vade3b12g3N0xU7c/a85kO2ohvAKFCTXWtZmfWWJZvNIJM/PaNWMlSu/Vvic7LeM/iTZZM22ML5APLl8g2XeQkpxPLatYm2KSFZwDhdn5er+SuVbuZU3UbdV4f21S75TD26X8aAj/p6yn53a+52ua1qb2d0yL63GyW+BF6i4QAhFoCJsiKj/nWFhUWzpNZG7SFKI+cLKDwtH+i551dKV0gn6D5o9kzTYkrEIC+Lizq1vrs095z02691odx3VCBiXL/rZyOHpNDzb1yDk+Cm5UeEct+QfRE144+dWu2/s8YAUzLLQ++y0LeMXnQj9tWv/MMb8n76+G/z+GkQW2+9/bo9eHhPcnXLrl27Kn1z3g7MHLVd3RyQscMyhKsSEwskE7menUrw0nvLLuFgE3x0bNZ66b0027A+Xzar1JKSqrSHa21rRjjdlAbnPbvOS9YfSNbflR38sp08/nU7c+o7du7MP7UL0nEXpQPD0O/SiRdOfdvOHP+KHT30vvz2xzYyeFk+7AHtb0gBTsuj5xzZWXmyi9uk+3McY0VJAxs3rjcOB1u2dJX89TW2aoVslfQPGUtUg0AU0Hc5YYv89XQCnI16/w7bzqFduR1WnN9lZYXdVilfsLaizxrrhqy1GX+VVjTjGmPy+/RTo61pzBrqhqXTBqyyHFKs3+hVVlYcbFWJ7FRx2YBnQaETQwZphwf209ObNVplwzgNVXht5I4w1Zt+0tvhI1+WXvyanTiBvcJOfVu24NuyW99y+0XiBfjmwMz7nolMhQD6mlYvaRlNliDffIN887XgYu9bJb23eJMtkI/xwvNL7AXhzWVLV3v5GL4Ipdkkh6SmSXdmy+/P3yX7SgYs2aEkR5DlJJ+1dtqqhAOr9JPf6Z3sfZSdxAutX6pdV4TAPVgztHUZ0VwM+Txgs7HX9GojUERGFgfm4FPME7Z66ml6iy6Rbl5tixYl2eqV2yxxc5VlZrRYvvBakeaWahwqLUpKx4Qphi1Pc5iT26O17NTcYg/ahOUoodW9CM9SSUOyBqWaEEiU8mMft+XSwojgR42Tt1s8+JHjJbahHcR8XcMy2ZAUzUWZ/PmdNjw4Ynsn9mruD9gx+XUnT5zSOGOnTp6z0ycv+Dh+9Kxw50n5IFSZkS3fL/vRHXBVPv2oqTLqCGN7u18HJ9bTjidNdisphYQBYSvJ3PIVybZg4XpPennqqYX23LNLbNGC1drjCZq7FK3ZVt3Ddt1jiXy5Ksluvb6rSWvWKt2/U3q8Wz5D72ypb3Mzo1sjtFGiz11bO6PDbVZbO73vIMOEt4SzILSiXqtR5RmZWpG8rV+/Tmu31BMZnn9uufZaqvyfCtlg+o/tkg80YBXlY7JRE54N6eWZ8jdCyS/lvtggDn475g30Ge2MNqrMhK86zs6ODmEp708WDWyWcBW9vJrlF5G1DIHGwWBki92+9W5M2/3kx8+U2Pq3//bfegT84UOivBBcNz2Di6je4SNHbXCIiG6zbUnKjjVX2yhwsMFeeFGKd94aOQVSvi8KLCxPt9SkaivM7/UJoGfRXjmwhw98zk4c+YqdPvFNdyJxNC9e+i27fOWHcqJ+W47W79r1G2Fcu/a7duXKb8v5/IE7o4CJs3KMT8ppPiSHeGriFevvv2INTeOWVyjlnkmanr43NVkCnKhNmCABpmxjlcDMYhmFeTIO8+TALBdoSNAmyZHj0CAlNep9Wi5dxsm74xHuBw8fax5eFgB43d54401788237E0HCfx828frb7xlr772hj16/IqcwYd29codGRKixCz2iJRtrwSrR84QURkpXAFqThcskLDTKynqU+Y9ylJIxayQQqmVIyVB2HHMBnbf8NP7pva+Lafyc1LAX7RDh4h4S8ke/SiMY/qdcVRzcugLDsD2Tr5qI8OkzR5xpzc1rd42bS6xDRsLbf2GfFu9dputWJXujvmChevsWZomP/WClwjMX7BShijFkpKLXCnVEfnuvuIZYpBnhw5/qO/7ksDJR1L+X7fTZ78lpxfQ8C07K/Bw5gxR8G96pt0xIvSHPrT9+97ySD69jegDlpFJA94mDZzhBienUtJqLTG5QsqF6Hy2g1Ay6YLiXWy/8ivPe1ThhRfW2eKlabZydZ7WuFH3NyrDd9o/H/KP0xwOH/mC1lPASuMY49iX3cCTQTA987aNyeh3dl+S03nUKqqmvHSyrBJiLJQwYiTcYMhwBGOxxzPASiswmgIRxWTY7bTsbZC8RD+2S0HnysjVC+AN2f79UsDHTmp/n9O8XJTsXNb+1Th/ST8v2UX9zjh37pIdPXLGxsZmpGQox9R+yKz1kkYiKxwUkJFa52nDHGmPo7B6TXqMjFxv8ygb/ewC+8yvLPQyzQUCwEuXJeo1cjoEOuiP0tF2xIYHbkpWXrUD+9+yQ3J2Dh94345oHJaRPkykitO3Jl7WnqHkV0CrfcLqGrp1/y2aDynYmlo5OdWakyr9rlFdJcBR5aRWlB4bIncpnmUS5G2JDMM8+8xnn9X6LZJzFkoSk3QvnMKZk9tg2wsaNfftVlPX6yXGTS1D1tw6ojHqY0fTqNU3kNE1qu8UUCATwlO0j1hTI4r1hLW2CBBqkK4NOAilvpI/gQkiXE5I1k56HxiOcKZxJhlwf/iHfxHTeJ8+flEfEFvvvfeevfvuu9LPb9rLL79s9+/ft+vXb9g57JWcoIGBIenbMlu1erO9MH+VbNQK2YCV+okTt9Ed79S0ajnaEMpko9CrYFJG/LTRD4eStYPSYScgZ2R7sEEXLnxfNus3ZJtks67KZl37Hdmu2NDfPA/JBZFy+vQ3pXu+KJ3wpnTUDemqg3JWaHBfKT2P3GyV/o9sFpnFm23N2vW2YsU6OcbrbcmSBIGYbEtN4VCGSjkqrTY0PKnPPKnvuSq7c0+2+qHs1KtOZr3xxhtOYr333rv2wQcf2Icffs4+97nP2Qef+8D/Zrz//vs+Z9iy114DbL1st2/fl+6+YsMjkC/YrU7p/04ns6LoJgABBzk7q8WBwracLl3PtFFKB6kFSQVZBWkFQAAYBALwV/XzV5304+fZs99z2w/BdUy2i2Ok9+593cktspNwypOTq2WHZKdWpPkckEVDBHXePOm5Bcu1btjvdAG6PF1PtZy/HifAKfWCKDsw84HbxZMCJqwD6wGJdfnyD+Rj/DP5F/98duBzXLn8Q/3/t8K66ZoBNGThTU+/7cQmwRmydzYllAiYZLs+W7Bwo1/XkqVbtG6Ul0ivyZ5zoA6OvDdhJwJfNiKwMqm5IqPnqNsroqBkhAGQ6LdFj62ozxb7jrkg1Z9MHvQd5Rz00KCXFVlDFeVkJFJG0W15uQIVlMJQuiTwuFF7ev26VO2tfOnMBie1Jj5Gap22CxcvaL9e1brflr9zT3vggft97COIUQZkMXuLct+XXrrpBBd+0sQke4QMAHrWlck+lRhN6Ck7hNDyTOs1GU76LVm80QnkeS+s0FjjWRye6SYwA1ELeOckwq2Z9Gdsk0Mve952yHbtOmv9A9flb97UnqQROw3ZKT2nZJMoM4fU0CduUNfSJX+rXaNF9qJRdp2Mrx36PVZC5W0qagQ+iHyXai8XCohJ7j0rkjIu5GyFrnOpk6YL5q+Vf0gZ8DbJXbFtz63RPHZYZ+eI1oy+KIekEzie/YLmkuw2iL8r2jNXtP8vCCyjOw5r/fbrGrFZtPOgt2ToKwRx1eAlvlGZ74z8LIJsZJQDUCmfor9bAOdf/OI/vCHvp4//No+fBrH1wQfv22uvvyo79Vh26q4HYS5duiwf8ITkfVyAtE4yREA3xX08shzRL2CqZ59bZS/O3+i6hyya9JR6yXuTBxaKikek+45Z/+7r2puveKAbQv/ESXzz78kWgrGwVz9w+3T16u/Y9avCWMJX18Fc0omXL/6anT/7HTt76mt2/MiHdmjf6zY6eM3amqatpLBdfmmJvo+Sw1SNZMlOkiUmbpEehmijjG2NMF+ibZKPygEfZGzSX5aT9whUQ26t0di4Eb+d/wuIp1VZblaDlRd1WGPtbuvpmrTJ8WN2+OB5O33quq77pp2/cFO6SkM/z5+7aadOXLWDM+dtbPiw9MSYk9/Fen8BPaCldzk1b3t+l/CV/HPZ9IzMHZaaTsC8Qb7nDssvHDQqMYZH79uUbPIB2fYjR78qnPB1txVnzn7X9f+5C5oP2flzsl08d1q2/9SJr9uxI1+WnftQfsEb0tt3pRPOevuTRNmrlauzbCk6b6ns1YK19qJ8jXnPL7bFi5ZLz23QPIBJU72H1MqVzEWp5pKT/vol95yse8J2dQs/yoaNDHPa6h0n3/qHblmvbAWYBQxVLTtSWrZHeGPUikogr8Ak0hUkS/jo9QwwmtmTwTuXkURfXunmtRmO/SBLn35mlT391AZbvGCrbd5Yafm5u61en7+r64L3GwMX7N8btQjiND2aib/sNhH71NBwTHpqQrax10nDFM0zrQDAdZBGNNKnZczWrHpL31qjtajUdRTblsR8DziC82hdNE8YlIPm1q7ZJLtZrnntlr4fNXpRHT58SLr2hPTsGWH0i04Kk/l448YNlyFs00s3bmov35A8XdNaXfSKqqFh6VnZqYICXUNWjeagVoPApXDV1nrPIKTHdKLsF4enUXW2VHIHqTWP9hTPLrcXZbNWyL6vWZmikWRrVlF9lq49LL8ju1p4vl12eVDyN2WdHUdsd89pG+w7Z8ODl4S7LtpQn+xYr9a1a0Z4XJhmR69sQIdwVVTyW6e/ZV/qqh1jBWwVSn3JkIySBuZI5I22YiV9vxZqvijpX6n5g0jOkzxWyua3yLfk5EjKfQmkQpSGskxILpJlIKEaZG8aOQggNjhYgcOGwv8O6LnQlyz0Jwu/UwLMoI9XQ12szHS2eokDYwa0Lm/EtN1PfvxMia1/9+/+3axTQwT43r37duvWbSnDa9pYZz0DZWiI48UbtBlSvUSC/iRPP7PCnntujcBCoq1bS2+hJqutnLBOlIgEhGP7Dx34vJTmV+zMyW/aBSmPizibUqpXpGhxNm/c+D1t0n9hN2/+gY+XNG689Pv+vytX5Xhe/k2959fsrBzmk3JaDx34nBTMqzY4fMVa5UAUFDZqw6EwiAbCsK60ZcvoSbLI5r+4KJQtLFttSYlbraSo1rq7hmxm+oinBnOP3OvDh49iIOENB0tvv/22gwAAVBjvxw2Bqnfec4DwugDC48evOEC4dOklO3TwrJwvygQ45lxARqCJ5nSehUM6ZwY9KOpc+SdS1plQZkmbqywvp8eaG49KOG7axOhjm5l62w5q3g4fpoxDCvjY1yXk37STMlqhlCIMogwACsgtoub7975mo8O3rHPnSQnJkGf8rFmXa0uXp9miJRLexZsE9NY4qfXMcwtt/sIVUnjJlphUICVFycyop84Pyeme5Bo8W+Ers2TW2fPfsXMXtYaXv2+XrvyGXY4bl678ul24pHU6h0EAvHxF4OVzDn7oJQFhtC23yzN4NidSzlpkGxI4QWS7rVyTacuWo1wgSlfaU08vsaeeIkK/2iNVCZs41p2+AVOufKmNPyhDDokGUDp1RsZZDseFi4DPX9f1/YaGfl76vp4TuLrwHTt95mt2SMZ7YvJVGxi8adQHEyGlhJEGifTqojF+admwR4CKSmU4aDpZJHCXv9NytrdKUdKjrNy2bMmXos7Taxusr39UDu8x3fNZ7/lz5co1KWEp3htkP96ym7HB7zekiCmdunTpql5/3qZnjur91IRT0lEt41AqkFLiDR5xBtZ69C5FBgmQt9aemyeZ09w8/fQyKd+N2ufpfiIpGV4cKd3VfdZGx+7KMMTkTnvnlMDmGe0V5Cd+nNFeOnn8G3KwviKn6H2bmHioa7lkHR1yuBt2CWjWOSAoLCrQyJeznS9jUWCUHpIhSWZkpHRnSeR5L+ranrdnnpkvI79K167/b9omI1snx10goXvQRsb22j7J35FjZ+VUXNK+uipnkXHZTp65YEePh5Lficmjtrtvn0DCuBTsmAzvuNGwv7Z6r5SsFDOZDA1SzA2cYgopKYBAua8AAv3pKHuk7JVME6JK9Af8F//iz2Ia79PHL+oDYguiBj0cMpFed3Lrzp07sleSqzNnveSqp2e3AECuLVosgPDsMie1liyWk7kpX3IGqcVpcL0CFsPeq4Mjwz37SLKA7qJsDXIEYobsniuAg2sxm/XSP3cb9dLNf+Hjxku/Z9dv/DP//xXZNkiwM2e+K938NTnE79ue8YdyXs8YTd6zM0tlrzgpabNkZ4Oc3/Vy9NYK0Kz1LJcVK1M9kywnp05OSovROwzS/Ny5i7EsrXtup7HXb8lWvas5YC4griCzvvCFL8yOL37xiz6iv/m/2y/Ztjf0Xmze3bsP7PLlG9JFnJxI+YJsVY7Akx8Ss8PlZisZOllNlp+Hg3bASS2IJOaKDDWynbBF3HPIjpLu1Zx5hpSPWBb2+e9rTiMC6auxLN83bGjwjvTxWc/cok+JHxpCKcezcnznLdbfqzQnKbIB+XLgyuVYNsvGDhvp8JxEt38frQ0IbHxNevU7vmYQWgC6EDT751onrdctrRcjbt0IpPE6Xs/7zpz5tq8//cGGhm8bpYXo102bipzYIugCUUp/kuUrZJtkwyirIDKeJRtPX0v2VE01gYsz3p+CUxEpwZyZ+cDniwCQt19ADwOg9J2nNH+hBcOXbXr/uwIRjxxE0FSZE7rISoOgz8vdadu0NlvTqx0oJtLnVKBlzeo07ascJ7V27eq2sbERfd+0Pu+ovuOMbKHAwfVrTmpBXCEzESkasvve9sHvPBcRXHfu3NUcATgvak4AlrqG7bQN2KY5yRLI3arvTg92CjLSS6dWyS9cJZu1SaA8w0v8EreUWkpShUaVZ+dRct/cdEjzQ9bfy7rntz0IRdbfCfbTqW/4iM/0O3ToA4H4xwKBV+XjHJbcEqHeKQe7QSP0q6OEKpRRlbv9CtmRoXwqkFpkT6yXLlhl8yn1XbBG+2ujrVlDaeJWvaZA72+wgYFR7alj2hNX3J4zD8wHgc+XX35V84O/TAbkq/KZX7H79x/bLfmBV67c1PvOC6AeFlAjy27EKiqHfVCCT8lIyOgns5/So1CyQzDST60WOM/KbpGsfiOm8T59/LwePw1iC72LXCFTURAGcH7+/AXt5yPW38ep15Xyw/F/6Xskvfe89Ms87EGi9mSe5LzGcjKbLTenS/t5UL7UtHy9y9IRj6VX3tV++6LLzGn5wYHQ+k355D+QPfptt0vouRvSf2Hod+yX9OJV4avLwleX9J7zJA8QCKakfuSudXcct+ryXsvaSo9KMhwJCK2VnKyRT042MYRbmv5XbJkZ9bZd9jQ3p9VP3qOfU5owDj4sJW6cZksjcHollZU2WWfHkE2OH7YTxy7a5Ys35R8/sLt3HtuDh5Klx6/bo5dfs8fI16uvS8besMeP3rAH91+1WzcfCbfdEq44Z4ODkELy3Uto4B4OG4FYoUolKYmG5DWWmtbsBCC9qCDK9+57w2YOUnHyJbdZlKS7jRe+hAQEl166/Fv++wVhh/Pnv2fnNKen8JOPCs/IXu2dfM2Gh27LTz4lee3TPRbZwkUJgch/nkNoltiqlWulH1OM9iBp6dn6mW8p8u2poqmoIBtNdgF/Y+JVtzOHdE3HjnxR/vqXhGm+pO/6kgfqDx76nHT4e8K7r0uf3LfunktejlheMWEFRf22La9buKRTPzv1k3mgVFA4RfYhLUPzkFxmGxPyPKiwbHksKLNgi61arrVIa7Gq8gnr6jjnjcSnp97yhAQw9lnZotPSvWcI6nkCA/jp27JX2KiPPCg1OfG62zZvJ5A/oHtr0T1TxVLmWa+JScIxiYWOlRI259qGjZm2eg0E4AbXu89rrmjQvnlzknRjte6tVz7/pD77gDDnUX3fKQ/EXLlyRdjphtstsooJyKCH4Ske6eeDBw9cN0N0Xb58Xe+7aPv2H5F8cOIy2VmVwpylTmSFayoW9iywdVQHrUm3pSuYl/XuH77wAqW0id7sP0Fyl0iLig35tlm2Pz2t1oqLe2WPD1j/7ku2Z1Q4a++rwqHv2lHaKh2VDEp+kKETVDMdfE+y9KZe89BGRyjzO2HNrePCKt3aA03S+VXy78qk9+daKVHqC6EFvgqkFoQalTBk8S/X2lE2utZoN0BW59rVObKthbL7VbJvVBzslI/WJT+BaiBaCPRL3ga97LeyXHqjYtCqK4e8zLeuZkS+gkbNsNV6xQyH7TCwqbJTlcFWQWCRlVUlfAlZRlZYOb2g5asFe9WleX8lpu1+8uNnSmz9/d//vRM6KF/KFR49elmb6L4DcqIL9GQ4cPCQgOaA9+9ZuWqDp+wRUaBPycb1+XLYm622atJ6Oi/Y+DD13W/Z4YNSIEfkbJ74pl089127ImVxVQoXZzIo3N+3m7f+0G7d+iNt3D/W4OcfyUH4Az0vJfySwMJ1gYUrUjZSPjidpIceOvyBTe1/RU7tdW20/ZYr4LxhQ5IMAZHdBdqg871R6aKFq7T4WzzCW1fbrA02aScEnK9evTHrqGBsHCS8Fco2IpAAeAIIfPjhhz8yeD4+Ah7m7JHm656UwRVd17Qc224/TptTujLS66Toqy05keysUglKseasyBITqmx7dpe1NB61YRTd2GNXMIeJPB8RYJCjHtJkUSrfcSUcP85I6RJVwPGjJvzQ9Hs2IyU4PnLbujpPS3iGJcjltmBxkj37wjp7VmDhmeeW2HPzltjipWv0v2wBqFpt0F22Qw78QN8Nb7K7n6weKdfjJ+WAn5FyuyDlf1GA5dKv26Wrv2VXb8hgvvS7vj4Yyev6SbYdhvTyld90MoksruNSgkcEOPZPvSHgeMNIuacUcZOM4Zp12bZCTi/RjgVyiF9cAKm1wp5+ZqmnyS5YuNk2rCuQYW2TME5Zb/cV2ysH+PCB96R8v2xnBQzOaw4uXITAirL/AvAMUfl/ZtfIANT+uXb9t+3KNQGsy5QMfdtOnviyjNTbcl51TY0Hrahk0HJpvJ/fY3lyuLdLMWyjDptTnra1WEaWDDXHvadAyHGaZqGUcZOM5YQM0HGBORTwVQeelPMCsgGgODEMlLEPPXf79h1XwoDwcxfO25FjJ2x4dK+uo8O25ZbJCJDGnSlnIF0ORJKA+QZ7cT7RuyX21DMhdXjp4lQp3nI5EEQO9lg3Mjf6wCiBOiIFe/w4ROi3fM+EbBOA3q/bZRnsy5c1WEfA5vlfl+Gi5Pd7kotv2KEDX5DD8dh295615h3jVl66Q4qyUNeVo3ULZVMABBoZcsQzkTvKDyG15s17QUD0eRn3hbZ82ToB0QwBvUKrrmm2fvoBHT6hPXRJjtVLdhsD9YAy35flxLwqJ+ZVe/nVl/XzsT18+ZHde/jAbmkOL12+KqBzxvZM0Dtn3OrraBLZJ+XKkcn6vVJKWwC3Qsq6vGLAONLZ+9cVhxPNvExH4DwY+Ur7vd/7k5jG+/Txi/qA2Pq8dHCkf7FbEDQ4OHMliUdt794p4/CE1NRMJ4xINScdPy2tSvu4xTh8oqJij/ReILUmyW6U44oDC+lAlhGEDIQHpFYgtH7PCZFbt//Qbt+RrdK4c+ePfdyS3YI8ua7XQZQQwDl39nuuww966d3L1rvrvOR1QEClWDKeaCsEECBtliwRWFiaYOvXcuAJ/aIaZD+6rK9vPAauI1IrlB5ibwBLZGhhr7BV2KWIzPryl79sX/nKV/wnI57g4nW8nrnjM0L2lmzXzTtyKCntHbK8/EY54vR8KffM0fS0QERQUkcPhvHxl+WQv+NEBPdHCQeEFcSVz9dsVhuZAiGbjXFZoAGCC51EuSI9TQjIkLVEQ1N6NtC7acWKdHvmmWWy40v0+xrNSZqctgI5bJSUdRiZMN1d521k+J5nBtPjjBJIJ7XOoet+y9cs8jGiNbsVW7ObtwigxZGS0ZppvbGrkCnc2969r2kNrsjpm5Adb/TMCTLTn3l2mWfLvqjfly1NkR7Ml1Nf5aQWp0Pu7Lgg8HPf9k1B1nzBSTyIv6CPf1XXRzBIc6LvjLL+PIgXZY9xDQJeANZ9+94xjndnnxbG+pGlypdI3FwopzbX1q3LEHDhIJwM7edaAa5O+R/DHvU+evSI7PBp2Uci3tfcNiEnIYj3eowUfddLe93vYS/F5CoejGO72H9kHs/MHLGdO3fLoS3xKPaKFVu0fzfJ71rnpb6cBPbii+tkA8h+2u5BvLS0uhBVlo2lJw69LMlO40ABMv4gs5A5iNGoPUVUMspwYlTgm3lh33j/VQHwEfk53V0n5dtxCiYyXaHB4UEFswAhIrSSkiAJBBJWSOYkb2RG0qNt00YARK5lZ5XIwW/TXI9rvciMvOZ2nJ51UVYbugZ/7+23Q3kvg9+ZKwYZ/sjT/fsvSxfJFzxzzfbsoc0B7TzoqdnrGX2cgh1KfjVK6F1H+RTZJrRnCJmRH3747ZjG+/Tx83r8NIgt9C+yFS9P6HHkkaSBAwcOGj3ktmbmeT9FcBVVMEulVwCtZPFvy2m3gjwONNgjP/GY9fS+ZON7Xpe/B0kDESzZkWyQbQQxcwVCSzrtJfAVCQPSfTfvSP/djY074Cvpv5juu45ulh8NiXNS+IrM/n17Htlgzzmrq+y39NQiWyMctWwZrV0INpO1lePEei6lhds7rTi/14ryuq2Q/kvb2m1bVpPeR1PubbZ2XbplbC2UHHRL5g/a2TOXpU9IKnhojx6+bK/IB0Ru3pD8vPH2W/bmO5Kxd9+2d96TfpIuevcd9NE79uYbb0sO35BMvqLrvis9fUm67oBV12r+suqM/pgJW8psU0KFwH6TFRaNeKuKoeE73rJlmooFzy4msBBsFroGco/MNvQxA1LwkjAnevoC2VvS2+hjyPWZ/e96yTt9hVtaDstetWlOErVmy2z+fLKP1jmhtW1bgXCpdNH2Gist3mkNdXvkw56xcXqfyXYGMvIbdlrXcU5678LZuXJRdGDIeP6n8iG+a6el844d+1KoPBl/YLt6LhmnqRcUDlr2tk7de6ulb+VE+QZPZkjRvG9JCq1nVq/dqnVLlo+eqJ9bLTmp1qrl9/Tvvmr7Jl+1Iwc/8Gqo0ye/bud1HRelZy9fDHoXe31Ne+MadooRs+EX2Su0Xjj5kTDDuzY0eNOze7bpWhISyuTb5Bq9Szl9kR6ZK1YKmy/dYC/MX+6tU5599gVdz1Lp5TThgxrr7euzib2TWptDWpeTdu78Wa0BPs91J7Tue/JJ0MNRUC8EZV7Xz9e0J4QjHj2wu/fuyqbfdJxx+OhJGxyiX2i79l6JbUzYZus3ZHu2cFQBs0h2y8t9JW/z5yd4uwGIWvd5UmotI7VR+7jDiZzWlqN+n/uFr48d/tBOyaaTrBNKfb8vf0/zdUF7Rj8vCVddOKs1PEO12beFrejD+rZNTt61vt5Tjq3KSlusIL9SPgOHFGGrZINy5vAVPYvXr6f3GVn8azU22KqVyZ71nLApT7Y1V/OcLdufrecKtK4VliFdkZ25Q/qiRfa5TXYlnJpdWbbL6qp3W1PDoGeQde2csJ6uKU/CYXR3Y5M5QXtENnBIPky/lZVhq3pkp0K/shLZragXdLBXnGrJKcitkqFHMW33kx8/U2Lrf/6f/2c30hhtSvAoxXv48LE2VVDA1IUfO3ZcAFNOWycldYW2dPlGW7Y82cvcqPWuFsDu2nnORgbvSmDkbB74vB07IgVy/Nt2Xgrk8sXv21UERU5cFEGF1HJC686fyIn4E7sb+wlQmHVAUb56jxMmAugQOUHI37XJPS/bYP9VbZQpXUO5nKvl9vSzz8k4LLCFC1bbJjle23PKrK2lW8Biv4TmjIQU9veuPZTDEk9q4cxFUW+c/89//vOzQOHJwfP8PyK43nnnbRcw5uzWrXsSfByaA3Jm2iwjo0ybtNA3Iycq0a9j/bpCr2fOz+3RtR/RZr/mDXUpXTl86HPO2p84/pFnDURR3XPnA0Hx5AAkACyOH/tISiqQW5RrDva9ZB1tJ7Qx+2zVmu327PPr7LNyyMn6WbZik5Qf9cL1ThSglAb0ejLsZmY+J6XwZTsBY+/GUkABMsQjQFo7yKybv+drw/pF44ZAwjWtqxORV+WgXwxE5EkZESIBU3tfdSKpqemQRxXWah4WyXjPWyCgMG+VPf3cCq3dSnvuecBeurP/RfkDtrNVxmDkkde509PrpOblnD73kq6L/TRHZhGJirIodE0aZP+Fwf8gSaWYtY9479kz2kdHv2B7p16xrl0XrKxiQtfV7Q0St8q5zMhstrQM+pTVOsDb4n0QKGXIF9ChNAhSi1TZC1L2gdSaLfEQeACAoojZYwx+Z/A8ZNet27d0PVfs3IVzcuyP28SkgHgbTYALpaxSNAcJNn/BWindFTIGS+2zTy+WYdhga9Zut7SURqsoGbOdbTLaAISJ1+3gNKCcMhwMNiVAgMwoFV3G6TpAD9nT0O+zoJNyHCnk8xBcJ74jpf1lL18cJ/OvbcYqSmkOXGCpaemWlCwAtWWLlCoR7igzknJfGgPP9yj4xg2JUtSF1ty0UzKwT/vojF2+ek3O1R3vWfdYc/GKQMJrGCYHCtI7clrekgy9JYfmLTk2b7z1pr2OEygj5qD71h3d0yU5RYelgGmy2WXFhR1WxGk7RVLAGgXU8+fvNE5c4SQeMk7SIbQErDYnVmj9quz3f/9PYxrv08cv6uP/+r/+L9e/s9lHsluATmQL4H758mWB35MCDDPGiZ/V1fSYyJbDle3lU2QfEdXixDNOG6I0bM/4y7In77njigMLwMbhjQia+IwfJ7Puylbd+1ONP7N79/9cMv9n/jv/i8gS3gcg57NCFs47Tj7v6j4vp6bfbcGSRets0UIBhWUEh7Z5Fk5ebrOci27pykldzwldB6TEddnEEIjhXrHR2KsoCIO9irdPgKmPPvpodnz1q191outLX/pSsF+yXZBbEeDCScR2Xb9+U7aVfnYDHuncvEUOUzInAHZ5UKKn94pxwiDZR2TjHjkaMtuwT8ERhgQMAQa3FZo3MrL56aWb7hj/wHUTdo3MKMhEShJHNDec3kPZFg12Odhk7brNslPp8jfy5GRVycFs0//HbWfHKRsZlp8x9YYdkm0hsONAxcnIAFIiIhI7BakV1ox1+tNPILd+X9dHC4RQToo9pUfXAd3jpJx/Dqag7xHO48oVnOC02seiRZtt8aJkOZ9EWFs9es0pjHsndV0HIf0+ClkUMZIUUPAkSTo3COSFuaJsiPsg+415ovfX5ORrxkEaJSVDTqKtXbPNr2X5sgTp4yQ5ySXSjTv1/YM2MTGh9TkoOTgh+31e9yb9K4cfQB35PKw76w+RxV5gRH7P52J7A9mKMiIjcgtfcN++Aw7GswTGVywXOHhxlez2cu9TRf86srS2bEHWBMoFcgsEeiNCi5JL+tWQ7ee9gORnQFgFgKn5AUjFAp9u09k/mq9AjP5A8wLx910nCsnSIzt5oO+ql4UUFbZYdjbfmyvdv9Uok08SQEhI2BQyIwUSli5dZ8vI0FrNKYhkH9O8vs16e0e0l47rOi5rLW65jX7llTBXb74ZSn3jZe5zn/vAPkfJr0Y0f5CEc6Tgm5Kpl3X9d7UPLlp//36jd1ih7FZePuXPndJDnZItTgijp2aTj5ycDistHbGvfe23Yhrv08fP6/HTILbQu+wN9gXEKPsJPY6tunjxouzNScnDlLW0dGifptoiJ1xT9Xuhpcv3zM0WQM3rlc8zqT1+0jjxeXT0FWGFD7T/CX5H9iqQWuiOG9el9176A7t9S7bq9p84vrot/XdHus/HXQbBGKpkpHckX9ekt4NsCYhLLx+SPdzHYSi9F6yuasS2bCqwpYsT5PNBEG/3DJa87e1WQn/BYk77HrLKkkGroByqcJee77SighbJZKPV1rbb4NAeO37ijOxCDH9pDiApwE1kib7zrvTR+5ItZOlDydfnP7DPf+Fz0kfoJeTrfckdWdqBQH7lldflZ7/sBNfhI+dsZ9eo7ES9H262ZUuNFRYMW3PzSc+M4sCtKdmsAwc/DD6ydMcZCAnpnBAEmbNZYUBwRSQOfRgpo5/LMp6Sfh+RHuuRLa+tHrXNm6UHV26SHt6seckQ4C/UfddZeUmHNche9XSdFoa5YzPCd0cOE3j+mp2m/9lZMBzBM60beu+KsAzj6u/q5+/qOV3HpR/IP4cogdQXljryoU1Pv6k9cNeznCsqJi0rq1M2odYSNtMzqsjWb8y11euyvA/2AtmoBQtTpJMLPTBCQIiKl0MH3rfj0r9kZp1z/ft9v99rlKxeJzEAzCS7BDlKRZUP7RXpZZ8fvfaS5ubCue/Y6ZOy4zNvyfZcs/LyMdu4qdwWL9F3L9xkL9B/+/ll9tTT8+1XPvOMPfPM87JZK4WLt3pPKRqpT05O2qHDhzTHpzTfF6T/r2pfhkBe2CchEBNVU8FVvPtuFFwIWcbsI/S1y5Zw2OUrV2VbzgpXU27XJlvA4S8ptmz5ZskYrZTIjlwjfLVWPpj29Pp8+R21lrW1SXatVdi42yrKxqxdPiInBU5xEIP2zwnh7LPyNS4KY106L3x1Ufjqsmz6Fdn0q/J3rsluaQ597eSHkEwQyNFv2MkTX7LDB96yybHbfkppbU2/l7xnZORp35AtTDugJOHMBFu7dr0tX7Fe8kbGFu1etssXo4y1Sq+tstSUCu27Ir0ux1atyjTv37a5QDat3DLSCbLRr4uDV8ZtbOSg1pv+ZLTGuaFruq11vqN5psrhjvbfbflONySfV2z/9Fn5zQfkG9MXnH5pbcJULZKtVk8U8FZKOTtsKwe+ZdBOqVE642FM2/3kx8+c2MJgB3ILR/dNAYVX7O4dnJkb2vQXJVSnbN/+aesf4CjoFktMybY16wUWUjhCedQ62k961HV8/BU58Shd+h3BSH/XHdkrcnyvXfuhO26B1MLhJOItgMCIgYO5gQP6x4E0AShImEgRxakha4u0/r2TEvDhoGCqKoZtw8Zse/4Fevust00bMy03p9xamru1KWe0qKcljFdlUG7LaQm9JZ4kteKj3oCAKOL9SYP/RxFw3svnIIAPHjzSd9zRPV8SYJrS3EjZbs72GvqVcqbWrMuR4q30jAFOgevtu2ZDI/dsYu9rNn1A4IpMqROQWpq7M9/2ErvZbCknmEgzDoO/ef6cBAfH/riAxmEJH0fWjguA9O66bE07DnqGwuKlKfacBHnZqkRLTiOiGUitxoZpbf4LUgCvSjl93iNAx09CasXAnRvLH7rxY91CtkIgI2eHjOZNPfeSE1y/7+TX5auhJOcsBwCQZSdFOrHnsfXrfmkOnpnTYsslkM+8sNo+Q5bWsytt3vwEW74yx6iNp48WTcIntJ8oy6TJo/dO0XxggMniAyyRMQYwIAKFoQa0cE3BeP+Z/+Q5rhuCyzO59D6MCXX1zPX0gXdtd/8NK6vca+lSasmpdbYlqUqGokwKpcijTls258hhLpCSbPHMv0OHjkoRn9XnXJEhIFOLPm2hrJW9FUXFidJFg7/ZcwCFBw/uy8DTUDT0sqMPyh4BktbWDinYXFu6ZJ09++wSe/qZxU76LVy8xTiNNCunXSBhn+3qumRjsV5szM/xY5RvUJIZpaIHY00m3Y2b/1zzw9qFeeJ3d2gAUlLEV2VEL0tBY2gpiYFYPbD/bdsTS0kvLe2yNCnf9Zs228q1a6Vwl0nG5gvQvGgvzFvgJ3WsWplgaam5csDqbVA64vixU7qGa9oTt+yu7vVRDFAxD26cZkFCAAXReF8OjIMq/R99FJxBSn4f65pv6frOyqmYsjqB/0Ip3XyaVm6TwtV+8hNXpHCJWiWnaP3k5GxMoDkrdfF9n56K+P+CR0RsAcDRu+yTSKbQ7aSuk6VCj4bx8XEPxFDqkZJCE9tqAdlWOV9E4E54D0hIrX1k/Rz6gpNagGxK0pzUcvkJ+gVbdffen9i9+5BZMULriYGuwW7xWgA5zjE6lMgsGbV7BeiHh+4ax/rT4HbFigw5eUm2cUOunJta2QRKinfJ2ZvQ9RzTtZyX7p0rH4t0CnKBjEDuMQ/xpBZACjLra1/72sdGRHDNklvYLr0/AlyADAh5yAsyVpqadtnWjArLyQaYTGoecXhuOcEyPf2ekxJkNgVSQvbdCfSQgRSIm/hSTdmEmN7FlgTShqytr+s+P6/5f0Nr9Ugg5IYcqpPSIUNewpCWliW53m7FxZSV7ZCjNiT9eNj9DMo4aBRPZjNABfKI7N3ZAExs3bBVHyMhfQQfI2TZ6RqlEyPyDecee3o6lnFMKcjw8B23o2TVJG4pkf5LlX7mUIIMW7eOJq+cMntSNvSxR+Oj8kxsKHsp9PgiwxmdG+aFLAr2yy3ZTEg3xizhxnzFkTlcD58HGUQZaFHRoK1es90WLtpiS5dtkF3KtsbGZu2bPl3DuK5hv9bnqOTgjMsDmYwQU5HPE5Fa7B/2QTSiPRT5NLwmAuMRucXnuS84tV9gvE22Mdme5Xj0Z5Z4qQtR5GQ515T6EtXFN6RhPpl+fgCN7Arzc8xJv2/Pzg97J8qwm50jfMRY4Azfw0k/rREkKnsuIv1o+D8qH6pNe2N7XqtnYG1KSNHaEAii3yqZJittyeJ1XsZBz5n09DJdH6cGA6wO6LMu6d4A3XfsvuwVIOkNl7W3ZzPaIv/QxxeZr/Azfg6d6PK5i7JJX5O/+UjXzJ49pO/jMAYaaTcYp0nS+4WMtmT50US/6fXX2XnRvve9P4hpvE8fP6/HT4PYQudGQRjkDv2NHEal8xzoQKuXkRFO/aMn1DZv30BPKrJECSpQ2txQf9i6uq7IfjzQfn1LuuDzknHhhJP4xN9zbHTZCRrK5JEbql9IFvhTuyc/mOBL/ED/hUxjyC3paMnWFXz2i9/3ErRjlP5Kz0+OPbTdwlecirtZvtSmhAJLTa/xsrciPUc2C712yAKqqRyz2grdh/R3XdWAte4YsoHdk/JPqWq4KJ0WVcqEA0+CLwj+eseJq8iefeGLn5edknwxXM5IMvi8/kfvyFgbgrff1fvfkl56TbrzgXSkcNTQfukbGph3us7p3nVFNuue/OrXpBPf0zyTrUXfTPxk7AUtVH5gV7BLkHuUZ17nd8itYKsIDpM9FaqFPnJ8RZbw+JjslXRac9O05W5rtA0bMoQXUi0rq8CKixqtvmbQ2psP2kDvFZuS3qM/NPjstJNqZEZRQTFH5N+4Lnsln+GlGxBJWpMbsgPXtS5aTydK9Fqyqc4KA504RsXJu7Z34mXb3UNG8T7XHZyqv2JVli1enmwLl2yxFxcm2IJFqbZ5S41s5z755beMUx5piE/vMO6JTFjIF+4V/RuPzR3beeIJe4mf7BfpY3Q080VwnFJWEgW0Z44e+YJ0/CNhpGldS5knU/zSL8+zX/rHT9s/+SdPC8/Mk/5dJXuVpdfUySb06vXjsSDMSel0SK2QWYytCdnpIVM2kFngdDLUCca8L6zwnpOhAStAeFJx9qo91PvwBS9fvmInjp+STdxrtTVNXkWyePF6e+EFYc159K9b75mRCcJ4s6fh5vVYacmw95vq6bloY+MPvTUAJ2dS1eKE6Pnv+9pBaNG3ztfuuuaNtfNBeyXkUD7FDfbRD7SPyFT/p1r/r9nRQ7QNEhbefd7q6kcsK5sMu0zbkJBgq9etES6WrVq+ypat3GzrN3DYSYX2FdfXLF+DvrCcSt3sgXsO3CFra9XKVNu4PtOytpZZdVW79uaE8Pwp+WfXnPy9e+eRE8GPH4UyejIfX3tNww8VIngF4f6a5v1Vvf6B7vO6TU2dkC3iUIJWyXudZWTSL63KklLLbEtKmW0WxkpNb9Y8/3faY+vf//t/HwMJKF/A5Nu60Vd1k6EenMjCqVOnbXrmgI2OTVhX927Lza+wTXI+acrsjstuKd3R+za59y07cPALduQIzWS/pQki0+g3jMwQ6rpxWnBUIsEJBMSTjuefxxQvIOGPJWx/4EJ3+QpO5/ccgMC+79V3cYJRf/81KZgDlldAJlCGbdyYpY1QZs07ugVc9nlU5PLlS1Lg8eUcQbE+CRIiQguAgFH6pBGVeUTkFu9FuPg8AALRPiKk1NEPD++Rs1VuK1cl2srVqQLbxdqYO43mbD29l21w+K6NTrxie+Xwzeiejhz7qhNLpyC1dK/nYcWleEiNDZEFwMNvSxnL6dXfOPIQGSjqU6SsyiAdmH7f9u551QYFADo7TlpV9YglaSMuW5WiTVmotWsUuCM1cdqz7AYG7whckLHwVTsmEEbPKhopQv6QhooSg7FnzeLXKxp3NG7rOcYtJ7jokfa7fm04rijzowIw+/e9KYNwXwrtstXWT1qShOSZF9fYZ59bbi9ICa9em2spqXVWKmeYUw3HpbhDZgBz8i07DegEvEhRMAcoDpSwl7BK+RKFCiDmz+3+vX/p456GX2MccGAPAr4uaU+e1fWdOP11O3jkfa3FTSuVkU5MqfGMspWrObZ8q61bny4no8Dq61rkWIzboYNHnCilNIOeWYHUeiDFQIZWSJVlL4SyBSIK4QACBkoa5yaQWw9ciQcH54w7OKOjnKy0Q2BXgOHZxZ6azrHPkFrbcnfKiO2Xwr2qfQ8gf88OHKDUhXKgmLHWXmGfBCAlhXvr97RuWrs7EJJzww1UDEShmIkUcTrpWRld6ujJHCTtdnz0jpTbCTkxO6V4M23RstU2f8FCm/fC8/b8cy/awgWrbP26FNuWXWotTd0C7zP6jPNO9t2WE3OP7LWXBag8MjdX7guJhdxEWQIRMOB3nuN/TnRJLwWCCwWsOXt4V7rkioz6Qa1Hj2SJvnXVTlokp1Z6Ojo93IhcrV1f4NlahYW9trP9hP3lX/xPMY336eMX9fFJxBa9ppzYuk1fyKsy5mfsmJcj7pVd6pfM7PDMWU4/zC/o9eyjXbvoUfJQxvtNL4ciGkuj+AgkBD2LDIXMmqBbPm6jPmnwGmQr0jFk6pC142UMlN2NPbZeyS+No3FOEhNLLDWl1Lbl1FtZ6U7r7KJ56mHPLr50+bLbkcjJQ68gQ8HBe9/nISIjGNikTyK1osH/eE30ep9DOYhRxjFH02MfKQGm5KylZdAqK3Zba8shb3A7NHRXc/qGHZQup3yMbC0IKsouL1+aI7ai4JWTRrEREUe8BvKIeSZ4c1RO+n4yRMcfeWR0Z8dpq6+fklw3GQe9ZGblWWERJ7H2er8rsqcAFWHdPvcxgoR1A5yh+yJi5LbW7ccRkaxV5KzzetYrIiMhpU7ICcX+7J14VTbrolVVjdvWjHo5kjm2bFmGbdjIUfiD0o/ntZceBVILB9hJLTnA2CpILd13fIYW14Wdwo5GRCnXcjdmV7FVwU6FHmCQhtxfKJH8nDcaLijcLT+HfnHbrbKy2lpbW2XHBwR6ydY6IBB2TGtzzoECIHqOGH3Ny3vYP5Hejd9D0b4I5MwcGI/8GqLp58+fk6OPraKpfbV8G/o9bhK4C4B8aybHkO9yQN7cfMx2774hcPFI+/ptlwMOZWDNICPZC8hatGe4b8gs1iT4iIwYqIoRXKwTGQ6ATsito/pMenSNQG61HRWwlR+4IdNJv8WLV9iiRYw1tnpVqtHwPjurVjahyTp2DrqsnTkD6A59tOJ9Qy/V1Fxhh56cq3g/MV6meE0gBunNGoIzAAnIrWvXBSz3H5b+4VQxSjTLtcfLBFyqHZhGJ7KSFfnrv/5pP8if9+OnSWzN+THBVoUMSHptnXcSeu/kpHV37XZdtyUxz1LSKj2Tj15KNbXTHuQdHLxrkxNveFD/CAFoStnw1aUbwAdBjtAzyE7AVpHNuv9A/nDcCPpPOsj13x85uU/rDqot6C1FpQWn2NMDcXjolnV0nJBf3udE7NacZm/XUVI2bBX04KmGOOAktilrrNtrzQ2T1tU+ZWPDh+zo4dPyKy/Lz7wh/Rb0kJNaAtRgTWxZvHzFy1U0+JsR4S3ki/fwXvzCl195WRjknvT/deHP47aza58w6knpbMguiMBQicKcefmf5izylUMAmJYlZIj+s1j7EtqqBFvlJLrmN57Y8sQB6bP+vhvW3nbMsRRtDtYLe+Zs46ClfuGuYzao/+8df9UOzXxox4+GrGK3lx8LwMxl7wZcLF1Hlp0PrQ3VJ/joBKCFVy6e+3U7J1+fZAF89L17X5F+FZ7SvKek1tiSZWn27Avr7dl562z+wmQ91yB9c0A4lF6Ub+k9X3Q7AkHjQQUSTsB40r8hOSDg8sgWRWPWbsbsE8SpYwddf5gnYfOzv+rYgSqYxqYZW7k2x37pH8+zX/rlZ+zpZ+bJRiyXH5au+amWnqMP5KjWZVrzCvEZbBV4CDsTJQdEpBby43jh84y4tkDRQTnaD7wOvc37kC+azSNfRw4fkeyMWHFxhS2XTeBUwRdfoFcVLVXI8MVe0Ztqt1WU7RGOOWp9u6/ZnonHsYPJ2DdzXIbb9FhmG3Nw6+Yf2B2yIxlaszuyXbdvQw6Gkl8qnPAByKg8r/U/deJrsp/0Cn9Ztvyi1TeMys+psDXrErV+K23h0uXC6puE+fKMhvf0XSws6DEOoQPLFBT2WH4+JyJ3GAcEJMmmbd6cIwxWbJ3tvcL/R7WuN3Qd94UxqRR6VXNC+SY9xMGhlM6/41mSkMrvvocchufeepMs7bf0ntd1Dw+1LldtYvKgNbX0WE5utW1JKrSNmwts45YSS5YvVFo2ou/4ckzb/eTHz4XYcib8HZRFRGyFviWXLl2SAwGxNWOjY+PWvavPKqtJTSOKusePi6SkI6R8vivH6otS1mTYfFsgIyoP+KE2ghxObYSbT2TW/IjwuNL9BGLLlS7ZSaShf9H27X9XDvHLNgCBs/OEVVUPyUmgbCzPysobpZD36HVHtDhn3SEj8g2ZQAPQJ0ECQoLSjJQqBgkg8EkjntyadQQlWJETiOECIBChOHX6nOZrUAah0DZvyfMSqYrycWtvPSWFdN2GR+5r43Cy3/t28MiXnVg6ceo7TuKcuwCpRWZWqP+OFLA7dji8Ei6eh6A5f/7XNS/f0rwLQJHNNvG6DQ/clrE8J0CwT4Cu3ZvmcUIFR7vvaNhvnW1nbWD3TSn+152MZM0gkILSD045a3bzpX9utwEJMoLxxnLWKffx53ZbhhIg4cJM6Z+DhO/bGa0XzRFnpt9xRp+SxI6dx6xUYGX1xhxbLAWzdgMNFut0bYMy4mdseFSKWK8/rPcdE1CYJdtmHWFd163fd+XvGX+z14Xh/gutM+Mv/ff7XCv7KUZuoXAcNGgemVscgxOnyB5430nSguIeKeUsKZkkW7suzdLSt2lvNeh/w1JGNOQ9LiV3VvNzxYFnOKXskcsM2UVvvhFSZtlbDOQq+p3nUdbsP5xoQEfk4JC1NTW1z3p6OMq9XI44pzeleFp6ZlaLnIe97vgOD9+XI/SWZ9gdO0Z2H0oXIIWhjgwmxjJkaUFk3bkbiL+5gfxJAWtdQwRGwFN7iV52p2j+T9bWDFGhV7WP7lhb61Hbtr3Zli7fYs89v1jGYZEtXrjGEjZstYL8KumAXoGEg5L3C1r36zJQRL4f2mM5Ha8KTFFeGMkahuhJRybeeWHEg4TgxJBNSsbbI60x0c4bWq9TtmMH/SlKvEElKdjr1ufZ2vX5tmFTsZ9agyGgPn5AsvbXf/VvYxrv08cv6iMittgXkVzhzDx+ROn8be19jlQ/K2fmkBy5fZJZTq/hZL9qOVWkZ+/xFP6BgdC8leyjQ954PC6DJCZDgRyWDMnh/NGsnx83okygGHku/U2ElkM4IND4TjKOQmbSiGVlNuq6quSoNMoBxdnbp2s5pesIfZFu37mtzySDBML8ddcf3DdyFIHpaGCbPonQih/Yrej1zCOy6HpJtvC110JJJ5mRFy5cEQjnNL9Ja209ZD27LgdiS7aCEyPpRQaxdZYM2qicwgMvUcbWHJHDQB9B0uDgQdTwPrKinNhyu/DYhgZvW2fnOWto3C+w0CtbTmN2Dq5o1LoNe6YbJwrSuH6/bH8gScga+24omddc42THAwV0vmcpfOJaMWKOupORoYQUu8c+4P7ItNs39ZaNyk5TRk9fiYSEUlu/oVggFFt1zglSSBt8Eog2SK2LZBVHJJv2EMCR7/hRG/pJIyK3IiInChL9qpOBBw9+oLW4bQ11E1ZW2ir73mJdXV2yC0O6jr26joNyxE+4TcG5j4J52ByAoJM12j+sf/z+iR/si0i+8JN4b8jo4/CTS/75yFdPT69tzyvyYOKWLTTZrZGstVu5QG993YyDSzKLo/nxps2nA6nFeuG/uF+o9QrZa4FAjkbkYzD4G/vNa9lj+JT4FxDSIfOPU0g5kv+IZcvPIrNu/oI1tnDROlu7lv4ypZaT3WBlZW22s3NQvupB+UzndB1k8n+8/xggKZIz5iJ+ruL9w0iu+DvYLuTq8/b5LxCcCeCb+QPMYw8pxdq3/6CVVzRZcnKh9hLZAs3a7+PW1XlhVsZ+6zf/MqbxPn38vB4/K2Lr2LGj8vv2CkwPepuL9PQS+cKVHsgsq9hjzS0nrXf3DRuRHO2delt2BP37kXSf/D5dD756CGaid9F7c9gq0ik/SmxFAd9AsEMoU2lx9RoyFYLRtKWgpxR9oSD2G3fst+35O23rtlbLze92YquyatJq/dS1/bZDOKO1aZ91duy3seEjdvjgaTt3FtIYcj3IF3YsIrU4jCvyBZGreOz1SYP/IWPB/kNmoJ8IFr9mL7/yWPdzX/78LTtwSD7yyFlh0mCzwFdObMlmQWyBJeYytuh1+Du67xi2ivXljSe2sAUQ6FQKfSxjq++6tbed0JqNW3pqjZezFRd2eeboYP8N71d7YP97xgFNp8BV9PSSXZjFMASeY3YqBOfj8PDdoO9ozeMYWOtKdQUBJHo4QW6dOPZVX5+xsfvW03tBazFsmxPL7PkXOQ2avovVsg0HZDNvan+9IbvB6fYfSV9SHv9rHnQjQOCJC+hf6VbsjutdDcdNjGjfPAw/wXtcZ/BzhKVu/L7P3yVdGwGr48e/ZFP7H1tT67T88Dx7ceFqW7ZyjSUmJVppabF8ilati/Sv9jyZ9aEE8aJzDZGtYp+gh9Gd6GEwQMAMYXw+GnpuDiPM2SovSZROpzXFqVOn5C9MCzuF8nnK91etTLPNwlX0pdqW02GFBf3yxyasacdxx+Uh+xrfkCy/b9qZ05Kzc7FAlfaLVzC5b6g5gwi8EzIj78eyI4O/iGxFgTP5FtpbFy//pvZBKCvlMJS9e9lH562ublS+Trn3I1uxKtE2bcl1Ejkvr9uKi2gCP2LlpaP6Oeql6n7aOyRXQYd+b7OW5h6b3LNfWPusnxTJPDo5qLmIkiyYH/QQc4XcIUNkQX4YK/fFXpEFF+aRfnb0i3wknXJb+Pi89ewet/yiBktMK7Pk9ForKOqTb3hC8vydmLb7yY+fU8ZWaNIXUjxf0QKFzCMcGd8cB6ZtdGzMM7Zq67qsomLAWpoO267uSxKeO7ZHTjsM50E5MEdjTWVDfwk5nBBb2vwfz9iac/JcmCJB0vDntFk+TmxR3varEoRvego637Vnz6s20H/Tm6XX1U5oI7RaXn6t7ezaLQdiRgtyUor/QhAa3c8jAaAoqyYCCU8q10iRRo7L17/+9dnB3/HkVqRo+QzmD8OFc+TZOF7re02K9qiMU7dl59RYUWG3NdROS/mf87KCETnFZLlNz3xohzkB8cS37OTp79ppKUGIragxejhFMhxVDkgIaflEmHF6f1uO/W/4fBNJn/HTO960kaH7Hmlvaj4kR6rf0rfWeblWVTWloyesr+eajctYUuJAvf7RY1L6+m7/XpSvFPtL+p5bcq5hoIPTSTnOn0rBzY3geMbISBdkiCOMZNRn5jsy3l+2AzPvGUcTDw3d0h46bfVNE5ad12zrNnEUbI2EdLcE9Kj+f1Nz8oorYjIpTkDcyKk/T4RlNhuJTCSAgvYPCoUMLRlryKyHD/5Kik3j0V/Zg4d/qecgt2TMMRYYcinwQL5BbsWUjRwEog00pe3qPmWZOXW2Xs56alquFZeUyxHu1l6bkFPBMbQn3SFx4Hn7iQhDHKkVKZFozMnYXEo6Dg57M/RbOCGgPSPnfFQgql1KN89rq8k04bh3shkoBxqnpGPfe1ozgUs5IH6wAEAhRoBioEP0m/kJhNY9KVnWLRqR0r2tOaTBKHMBwKC89cy57wiAEJ36vO2fojfQY8+yq6uf8IyoBQs22dIlmy1hU6bl5Vbounbb1N5pXcdZgY2rup9A9nF/yBm9tN6ORV0wQv81R4a/oxERXLzeDdd7gdx65VWOziabVE7MzBGrb2jVdWUbRyqvXs1x8vmWmFxleQW7tPc5gv2KjQzft7/567+PabxPH7+oD4itaD+guwEL7DGcIYgtTn6LiC0cJ3oOtbR0WXFxq3E65o4dB52kGR6+59lHMwfCKUlk2RDJxYl9sgzRM39kq+Lt048d0oERsUU5mZe2STZpbo4+o58U5Aynz9Y3TMuh6pIDQ1P0JtmDEdm0A7K1Z2RzL0smg4NCA2vukYhbAAT/z4ktZCySKwbODZ+HXsIBwqFEJ0FOnzx1wcbHj1hb2wHZV06iuu3EnJ+GGMu8icrtIlLJAUHc3EWD0syPE1vfla35pgdi9nMSF30hIbY0L407ZqyqatS2ZlTJOc+3/PwOq6/f51l2Y2MPHfhHJzJC9Jw5GwjJ6BqC/tP3+rpRQvpx3+LJwf/Dms0RJjj+3uCe69v/jjcM7pSPUVw8YBkZzXIq+53UAjgF0uYLvsaQLKFfVCBHI5INW/UPJ0cjWyrA6bb0933uAEQAB+//deA96bRbAgnT1tzcJ6d9t/6mafyU1uaQrp3+bBdmia1IF+OfRBlb/zViKyKOfW/EIuHIGGAh8gdnZrBVw5KpVktLo4FtqYBDg+aGgwZmvHyVI+LJrqPnWNREPzRtpnw1yFnwCYOM/d9bq5DNxh70PnbT7zpBurvvkgfz0jNqZA+22vp1OUZ/ksxMTvptt46OAZvaJ99Qdhw5+3ip5quSMYGp2Byha+LnCdlBhj5ZtmS3vhqCnbzn858HcAWbHwiNV9wuXrx0Rf7NjFVW0ny30UpKB+UfBkBFafT+fe/YD37w1zGN9+nj5/X4aRJbyBF+Hw2v4/2+OWJrygOnTU0celNtiYllRjPu2jrJUddF6xe+GhfWIZh/8OAXnED3xIHznFIeCGLwwUuUIZI1AtiOYSvkJp7UYgRii2B0qLZwYv/mP9dn/LbwEmW+lLzRUyrWQmTgmuTmuFVWjVj29nbLyevwQ5cqqiatpnaf6+emHVPCFVM2ODAjP/q4nRYYpv0LGPL+/Xva//FZx4Gs+PDDuQBn5Atix560ZfGYC7+RckXA+Psf0GfpTfmYr+rzH0tnPpCevCMMSgXRBRscuhH8Zc3bIQIPxz4SnpDPTPWH9PRc0kCwW+iUWWJL+slLEcmy0Xv8ZMSZD2zf3je9Ugh5bW8/ZfW1U5antcre2mZN9TPCVZflMz+06X2cNEiLg1iGlOO533QMAxEE2RF89Gi9Ag72NeNnTN8F4vGPXE/yPsitC/RflC49rL0wRVbdyG1r33nUCkoIyufbxk2VwgyTnvQxOflazM/5cqzNTLh3TnDGHtOWBJ3K98QHgdgnDx7+RcBQjzT0877+hui6I8wX7Rt0MfgccpVT6c+e/Zb25+dtav8Da2qdsqT0IktMydC+ztE+qZE/3i2/YlT6ep/W44hez4FuIbiAXw/xG9mqKFsLe8Q+eXKgnxmRjLG3ImyF3QOj8flUw4yN7ZGtbBeeyrctm7d7P6rsrBbbnttjZSWcvn5EePmKbNZjyeM7doAEnWOcnvld2d3v26WLNNOngokyQ0gtYeLYut2TLMXLWTSHYf3+2O34da03a08VlmcAChPPzLwtnX/Pdvect9qqMUvxnsCFlibfJ3d7h5XI3ygvH/VDwqorJ/0gteqqvRrjnsjT2DhkA3375O/KZ7xwxW4Jez0kECpZeP0NzaFsWdT2BXmLt2cEYb78ZQI1JBfIvn2JOSUTDqwaqvew+2637t2XnrluE/uOWn1zv5VW7raGRsjCC/bWm9+Labuf/Pi59th6gx5bnIx4594ssYWjtH9m2kZGx6Tgeq26usfqaiets/2M9e++aSMjEDRv2rQczkOeZfM1j4DTH8Ijc1ISEcsZiK0Y6IaYQIhj42Mb4kliS07MLLElx5ospz17XpPw3rKujjNWXzfhDTpb23ttfHLCDtNnQiDnyjUJDb0T7nOywiuxtLwQ/Y4XmieVa6RUv/7/gNjCCUSwPCpzIRxBWlOzy6rKB6yl8aB1d5y3/j7NmxTg3qm3pHiiMsRvObl0ZpbYCv2SArFFuixCFU9s/Y5diogtAbOjJ75qM9709m053Q+18S4LKBy20vIhr4vnZJ4d2pA9AhBjQ/dsOuZ0UoZ4/Pi39L1EMkKWGE0Mqfn2VEtXfICEP5bgRoQWJFfUd2ZOiAOxFfph0FCY2mKccco69k297lHVrq6z1tQybWVVA5aa3igHr0OG8bCngNLckGNwj3AEblQTf+HX7CLlmFLsATThCKNUpEyc1PoLewip9fCv7NHDv7GHj/7aia2I3PLMLUoT9foQbQjR8IgwRdGf0bxTB79v38sCWIctv7DRioqrrGFHs/X1yxmW8xF6l5zWnr4g2aBnAJGoH1XGkSJhX0QjAuPBwZkrW40ntg4cOCClv0cKdrec8FpLTiy1wu291tYMEXnVgQInvLBfyLA7dVLOjacVQ0YCpqLyqcjBCcRfJFfx8hXIrZDBNjsXlPteiB3Jrz1xYPpzcmxeN06x2tl1yopKe7zv2NrVmQIxxdbc1C7DGsp9uQf2e9QTyKNzus9oPpgDFCtKNSK1PsmBiUbkxPB63sf8kbkVZCzMHVmRMzMHBQ6qbN36VAcyWzRnuXK8GndM2y45GUNyCifGX7W//Zt/H9N4nz5+UR+ciojOZj9FZAz6nP3mGVtXr8iROWOHDx0ymmjv3j1oTc27ZK92CUhy9PepEJGLZZF4FNMJkm9JT30ccEfkDKDbnb4nZOiTBjLlIAEywolisozJ/gkn7ZH9Q1kA+9IDDuV9lpe/w8uTKPM/fPiorv/crKM3B7hf80h3JEvMAXIRDezQk7L0SQO7Ff8+ZDKay8h2MZf02jp/4bKu57RsyIyXXBChJiubRvg0bYeoiGw8WVvRvEUAAZ3C/AXdEkoR4zO2yLYKPZICIeHEVuc5ye0BOW6jcjg5AbBKerDfWlqOeZYdgAJC8gAnB3vWGI56ICS95YGuge/gO72sTWvBmnzSWkUDXRhlAnGdfEa0Zn59skWTAkfdu87Kv5jQ9QxZS+tx14n0jQI0RKWZnq0lMHTpCmBTPo90sV+HPj+yk/ED4OBBGI14hzgMrgv/JwYcdF3sT/Yq37d//xsCbte0pym9GdG+GpON2isAFxrHo4/jia0QeHnD15r9Ezm4nzQ+idjiM6IouJ+ULVs1PDImcEffqBovq83JaRL45bnTnpnIaaMz8tOQMe87dmaOCGWdQmZx1AvtR+fnk0YAeviE9AWChCQC/nVv7gvpSTZbZ+cpyfugZWTUeHlkenqNbd/e5Bm+o6N7NX/HtW+j4FTI5MdeIWfMD/eNbDw5R9ijHydnH31EcAabFWUcA7gCSKDcF1LDyUH5opBb43sOWXVNv9XVh8b63jtuz6ve0+WHP/i0H+TP+/HTILbwYZA19lSUTYIcodejjC18yojYamnpkY/eaMkplSHQ23LCenqv2fBsAJz+xV/0QIz7xZKliNiK+mt9LGMrJlMR4GY84KeeC1UWodKCVhU3bpFV8tt24fL37TRN5IXhXKYkw2T9dHdLNzdN2/bCLkvPbpZ/3OetOyqrJ6xW2KuldVK2dZ/080H57eifQKyHUmjk62WXgQh3PekPPom7ovHJuAufEL8aX4CTSamCwHY9kj65K/ty3fZNX7CBwfPCpmRtEQwJ5M6x41+zk6flN5O15eWIP3DCgcE8MsBc9FG6KL8ancV802dp//73pdPAMPe8pQDNxclWqywbsbqqvbbLD1C7rTl7zQ5K7x07QvD5W3becdWva61oKfPbdk36PL70j7V6Uv85saUR8AqVMJHO43CR33C8Am4js2hs7KH2yUXpN1ry7Jbum3TsFzKP6BFFsslHft9ur8Hkug4CTmTK+jWACWI2yveJcFOEoT6GpWSz7j7QdWnfYDejCh1I0XDIW5R88oFN7bsvP2dcPk6VlZaWa480a5/vlm82LvsxbSdPHHcZeFIPg88jLIXfHxEy0Yj+5ie2KvJjImwVnxVJmSMyNrl3SnPUb2Xl9ZaWVmic/MxJtIWFg1Zbe8A6d16UTb+rtaN0VXgcTKy1I8kEfE1Gmmdruc0K+CqQWvFzFojA+xoQgFElE6eS3tA8XbmutSORQmtwSjbriPyofZOvCYvfESbnMIBhXVOzZWY1e7ZWaemQfI49Xq1TB4FcN20N9fu1zntlM/bKlh2yY0fP2aWL1+3mS7fs/t179jL+IrZeMvE2J4tK1j6Is2X4ihH++upXsWfgsPA7BFcgjePLfeUXSrYePHps127es8PHLlv/0DHr7D7hCQ9vvfWrMW33kx8/c2KLG2BTcBOUPJDZRM+Bl+TgOuiWoiIDqn9wzBobe6yyfLcLdGfHWRvou2WjI49d8fqpeiiPqI8CxBYZW5djGVs0V2NTIEyQJXFCPTv0N89RZ0yqH+m1OMqA7iA039Kmo4ThfdszHoitTjlS9Q3jcop32+7+IZuanrSjEpqzEpqr1xGaEPmOiK0IcKNg44mtSLlGChal+uTg+R9HbMUbL4D3TRxBP6HhvAR6v9XXDtsObc4uz9givfiBTU694YSgn0Z48pt2SooUA0rpnTeF9P5aRGSi04LCuKq/ed7L6eTwnqK048RXbObgB0Zd+eDgfQnrBauonLLc7T0C+91WVT3uZWX9MpZ7x1+xA0QynNgKPdFCim4g05zYui7F58TWH2qt5sgtCK25n9H6RamXHye2zp//p3JqP/ISFlJiOX63s+ucFN4BGcURyy/qsbKKMS8RgoTAKHBKGcCFo4xPn9FckMIrw8MchAgv10OZiRTK/VB6+FDK5NHDv9be/RvN/9/YIx+B4CKT64FeB7nFdQaF/Pt+nfQrY545HeSUlP+hgzIUozdtR9OwVdW0CDh0ai61p/wI9Tli66WXAA2QOHPKmPWP9hV7gr0VjSeV7ycTWwc9skA5Yn0dKbIdVle937qldIf678jxfcWmBLQ8aneMI+7JiqRun30SshVCOnqo14+idjgyc85NzHi6rLFewThhNL3k5aKULtl/R2me/KGM0Os2OHDbugTsautHbWtmjW1OyJbxrBeIGJHRDFEXGgtHURf2fzQf3DNKkjmInJigVEPk+0nZindiImIrkrFo/vjskKUjkHDxkkDClBUV1wpcFVl2dqOVVwxYW8dRydg1Gxt5oD31uv3t335KbP2iPyC22AORwY0HCuy9K1evSF+c8b4KNI9HjmjYXFU14FHlzq4L3kSVDBwyIzj5DpKATBsyq8JporJX0l1BliKCJBbRRG7+KwNZw7ZBaAT991sun4Ek+bLRqN6JLQ72kP6rru6THHUKiA/KYd4nPXxUOvic30dEbLHPuU8ytuJJYuQifiBTkfx80kCmInmKRiRTzCffEWUbv3RTOkngm1KtoaEDAlg0U6Uv2X3Zltelp2TnHWARwArEkrcckD2KyK1Q3hGG/83/sFea30BsybGLZUTRYwviChtA+QQlo/n53d7Ds7p6Uk7caYGmG9KNjwSc3gzElnyAkDUWEVs/2tOKtbtDOeInkEphBLsF8RSyo0LTfz4vZJTRA+wdfe8D6+o+L4fykDU1HdW1XPNyFNYTu0bghsxZBw2ui9lDlEUSDY+VRD7x3W6vHv212yoGdurJ1wQ7FV1XrJcJGQQnv6H5p/zuNfkVZ6x715Tt7hu3PdKDUTNeDzTElyJqbbE7rHWkkyNg+eRAV0f7gvewN6LyjihjC2JrZGSPdeyUfFU2CyxUWt72nVq/g94LLcqKZK8gY6yV97CjTBP/IiZfrBPy9ZMIyGi4jGlOIcVYK8g+byRPsNP3kkBeDyBvvxUVddnWjGrL2ForQNNuvbvp63JYrz/jBB3AJ5of9j79+qL5eVLGIvD9SbIVDcitr3yFkvpgsxj4AjSg5/Qu5vGR9NVLN+9Ibuhbh2xNx/a39pQTx+/aD3/4KbH18378NIgt8AF7Cb2NHEWBgyjoDeg+cuSw5GRS+g9iq9dLZTk5E72HPuzrf8nG/JCTd4xqDDKMZwO+6F0PfkPIgA8IJMR6NcWRW+7/0abDRyRH0i8C5rf0Og6zuH5T/h+liJe+7zoVeeVQlcnJN+T/3vHsjB2yWQXFvZaa0WjZ2zusqHS3lVcNWl3DsGzrhI2OHZBN5WAl5OuSfNuoLEry9dorstmv2zvvBrIC+YpwV+QPRriLEfmEjCBbTyQUOACnzJP55UT/qA3MfeneW3bsxBUbGTsjzMrPB/Lf35Yu+tAOgU8hBmW3IBgoSYRsgHQCSxEgZk6xAZBaZJnS5/eAcBKloONjL3tQo7vrojXLFtRonSAe2luPWz8yPPrQ9gkLHxIWJlBOGSL9pwi8UIEDMYXuCn7Fjy9Njye2WEt8eg+Yya764Vdnv+cYYP/0B74/OKCjufmY1dUfcKIcn521czIUW+n9xcIJmvglwU7OZWtF1xAwAgQNZJbwlDCU4yiNB7JREWkTsrZCGf9Lnu1Ha5zYybVOBpLM8LYw7lVhKU6obrbWtg755Ltlp0a1Fvvt5IljduH8OWHNj2dsRdgBXRxhh3hyi9+j8UnYKiK2IFbJXA5tXqasb3DQGna0WmZOmSXR2zS3wzPbWlulf3tfch5j39Q7jq9Cue+3JfPyLTzZg6DZHP5kTaJsrQhffZzY+gut37/0rMhbmicOV7vqGOuHAa/LZh2Tf0HgbGLsoQ3svmLNOw5YYVGvE1vb/eCIAdnWUaur2WMNdZO2o2FKe25KemG/5vWQdMcZ7VPZses3hYfv2WPsvB/MgJy9be99IDv2oebv8x/al2TDvoINm5U1BqQWNi38HcitqNw3HCKDbIUex6/pnh7b1ev3Zc8h28/IZp23N9/677QUEWIrIrVwnukH8PBBAI1kRHDE85EjxyQkAti7RjTRu6yybNAa6w9aF5lHu2/a6PCjWCbJB+7AE50LDUJjjow7nLEmdTQix5lx8B1jrDX4GQYlUgLct/5IihEHhhRMmq/RyA/Q/S0X1On9NON92frk8Ha0HReAGfZsreEROS8SmuMnT2gDndd76VVyx4mtV7wMMbDBCM2TxNYnKdh4JfukgsXZ4b2RYCGMCCWkBQCBHileHnP+ok1PH7P2tjGrr55wIg5HZnjknk1Mvibl9K7uKepB8R2P/DqxpblDCeHAeYTTyS2BBU5bcIb8h66UnQE+I0f8+Jf8dEUiyX39t6ToTklAOL690wqLB62+YcY6IZD0vyl97wF6zEhhcwyuN8iL2GmtVzg6OLZeroQRZpz0cEJYGChEBkYUYwpA+H2v1w+OeCC2Tpz8yDMWcHQp36Dh7o6mg1ZROWYcEUtWWWiKTkT+Td9HoXSBPgLfC5EVJ7YisBkDC65UiELFiC0U8ScQW0TEveeWp2DHRxog4H7oeysCDJzusX/f61LA5zR/Q1Iivbpm+mtR5nFERvu0DNQF7eXQOyCe2GJfReAzMt7R4O9I+UZ7BOX7ZMYW5b7d3QPaz71WXTVirU3HrXfXNRsdEqiceN33SugLFEBlfAQGcioAuo8TW08azTAAdYHYClkB0ck4v+afS9r2zPTnfC8N9t/WNbFmk0Y5R35elfZRj5wtGaeTp9x4EHWJb1SMgeFeI5IPI/RJMoZcfeMb3/ARL2cfc2I+pmiDkxjJGFmlyFd//7gVFTRrkMJPL6VTeu6GdASOxhv2r/72f4lpvE8fv6gPiC0ySIKeDUQMzlDUqy5kF5+0A5RJDY3IwSN62S3nRc53/T6B8HPWH8v8gZSghxL2KjT8njvF7iokDPo2Jk9BpoIDGAa6D/mJH0GvBFkKJ/mi/yDMPPot/Tc19aZ0yR3r6hJIEPCurR2wxsZu6+8bkUMlmyUHLGqkGvr33fX7AxAzkCd0CPIUD7oZyMmTdisaPM/gNfHv4XP4PEqv+HzXSQ+kk2695ET1qdPndc1HJev7rL09ZCnhREMgeHnZcZy/qLyB04Kkh2STovn72JD+dqJP+orywZOnvi59+kV9FseX39dnX7Odnae9jK1SzhzEFidv1dbtc4Dn3+3EFhlboRwy8jMgTJyUhFxz0iTKXA3kVsjcenK9yIj6I89WgNTyBsp6nzdrl+3Fz+A72Cc0JifLuLnlmLW1n7LBodvSi49l02M92k58JKDBHLB/YvZatorPxJ/5cdlaj2WfImILW0WJUPxr2GfcQ0SUzgIuOcX0fKEkcXT0tu3qOWJd3eM2MbHPbUjImLhoN7SP2EORTsbuID9Pklvo12igZymh4/+8LrJV7MNIxiC2vGx+ZEwy1a0167CCwk6rqt4zm63FmpKh6MSWZ9fNnV7ptiqO2PqHZmzxGuSP9fQ50edAaHoTeUhIrYefsNl3XWDlqMDUiOVu22G52+utpbVH+2evQMthXUc4cTQqQ4wyruNtN3MRLyvYoh8nX9Hg/x8njyG2QuZbZPchtjhY5fLlG7qW07ZrF8TWUQem0YEWv/Vbn/bY+nk/fhrEFnuAPRXhAvZZZK8A3QQE6Yk3MTkmmem3puZuKy3rsOLSPsmU8FXXRQ/cRyWqHlCIEVveggJihgxR2ayoXUnI2gr+XyiV+lOvVPARp/siwuTWrT/2sm0PbEpvUSqF/+eHVRz+ovQt1R/3hP0u2Y6WQ1ZSPmAZmTssdWud5RW2W3lVt/z3ftvdNykMeFD2NDQDJ3saG4Z8EXwiowqA/A8htiI/kBEvW/E+IbLlPiEHoMRl8gef8I7szDWb2n/GevtPWt/AVT+Map/s1ozs1uFj4fR37pNyTrAWB1Mxzkmf0HcXfwBSCxt3SHYKgoh+XcOcOL/7uuzAaauro2ye3kyHnPijT+QkWZdaK1p5UM55WhgmlF+HrB9fJ7J+sEuyP/QljrKlorWJH/yPdXSdJ12JXQH3Ye8gq0gmodwS/NTUdEJ675TtprehrhNdAhlK4/xQBh7r/6j9EvW89qCC9gLfNUfQhGwtx1MxLAWxFbK2QjmiX5vsE1jdT9bUdYWTJIXTpefP6PuOyjbu3y+M3nfK90hLa5dwL8TWiPbyPjt5/KidP3fGrhEU970SSFB0cURsRfiBtY4ns+J/j8dW8cQW9go7yGEq+/fvs8HhQWtt77D8ompLTC617XldTgR2ddFO6a7mUVjcy1ZDuS/kE+TxhVhLIJJJOPn/pbisSJ83JwOj8Rdh3Nc8Od6EQCbL+A+Fi3/PrsgvhEw9rf3Fd9B7de/EK8LkN2xn+0ntp1E/OIJSxOKiPqvklNFqYWRhmuYdk17uOzR4UO87qf2LHYMUvK3vexBIwddejwVowmmjlMRHcvbVL8uGSYa+5nL2oyMEZj6esBOIY+TrLXv5lde0Vx5rLu7a4aNXbGjktJ7/ekzb/eTHz5TY+vu//3tXChA+kFqPHmlT3L3vqW2XL1+VE3NGwnNIzh3ppv1WVkJJ3bg1NcqZ2gmx9ZLR0Hpi8lXbPxPSHgHd1CWHMqlfk8NJmYCECXILh+9GKEskpQ8mk0XnZ/wg8wRlGwkyCjyknROt/KKcpre9d05P9yVraZoRQOi1zi6cF9IcDzhRMJfmGJ3IMXdqXbzQICAsJk4JCxuvaKPxpHKNHBjeGwGESLAiR/DOndtSINf8Oo4cOSrjtdfqagJZQdR+YDAAhal9b9qBgx/KKKBwQ98kiBbYdeYOZ5mabxy5q9cRMNJmf+CETDBE39WcfyQl9q6E87F/LuCppmbasrI4QaHHKionbEfTMU9RHYj1S0GIQzPKuewo6okvXpRzznGm11ir39NekCL2TCCiqyFbKmraDqEVNSP3srZb9K76Ha1ZjL2XMqV/lfeYmXjDs7LoT9IghVJWOmY11QKclLT235RT+oqXZpJJwf1wkshsyvATxBagJF6phLKOmEKOAYVHkFqujD8pYyuUeMwSW5CDlHnIQT5wkN4CD2xX92Frb+uVczEkA0+zQ04so7kzBxJc0b6ifwAZSnOnKbEHor0VP9gfQUGEyC1KKIrcQQxxOgh9S4ZGRqxNgLyqWqCuZso62s5YX+8NGx0mHf0NB1OBBI2ILRRvILYAZqG84+Mp6czTjw7WTsDOia0/kLHFsfmBPguj/h07TpRq+n2PIvfLueruPCcDTnSqx1pbdskJnyudIvodgYQo+h2RfJETE8lYvGxFTstPIraQs8iAMbcYPeYQh4k5RMaPHjll3TvHraoCUpDyjtNOekNiTO193f7Vpxlbv/CP//Jf/otxDD9rzx5Dp5NZTOkcRAwONSciTu+f1p4dscaGHukYMkrIND7opW5kygK6vaEqgRgnSL42WyaFzkJ3QUxBJkTlUk6SSPdBlERkCadKMcg+JlATSIjQOB5dHek/Pt+Jrb1vSv9xytQp6T9OQO2x9vZe2bHxWEnviRgoCL1JniS22PfoEfTJHHieG+68xNmtyGbF26to/P/Z+88oya/zvBdd5ypYEkUSDMjAYAaTQ89093TOOeeccw7TPbEn5xwwyCAyARDMQWCUGERayRKVs3RsX9vyvd9sS/Lx+fze5/fu2tOF0UCU18Ihxbum1tqru6ur/vWvvfcbnucNOzouUS9xfbdbCWLr4pVLmpOzXkY/NLRs7e0HbgVjYp8r10OUdkhv8j2DvZIuuiT7JHuFAx3sluy35oIG6DR7JxvKy9MP0XfsNa3Hc05GUCpKZl1lxYQVFw8K5E1ac8sBD4RgH3jdgjePpxwSYu0rTpjQx9FJEz7fo+LShb52EJOrWXceNCMA40EYel+skloe5ND7IDbPyM8gyHEYYKfvOj5+wzo6jllb+xEBvNCU2HuXxDlIEFt8vttofTanIfG5gdh6N0HDuJ3YYmCnkl+Dng57L+wpz6jVZwSylPKYz/s+Hhk9b11dcngnl215eZ/29GF36CNB+qz0ciRvoo1i3f+5gZ7ldbwnZkXeIo+1T/ftozXFjNaGnlr4F5OanxX5F2RrPS37SZbJG36KJg68ZxcDxAFW2g/Y3khsReIx+bu/1wBMOUjQ2jLXgdj6lh0RiAT4z+tzfS8JJDQ2LlpJscB3Vbv2LqcghqzIc2dXj5ZHvuLcIAd8d+xMMrEV5Sraq39uIGvJcnbL9msuI7lBdP3atZuysxflV8vH6D7ggSNI73mBnB/84C8TGu/u4yf1eD+ILfYQflAkh/GN0OnIJFkqlM0fOrRPGGBCOnbQmprpXdVrlVX0rjvixBZBxQWILRrH7/+sZD4EYm5hBMkT/utFt1noPCoRVjO38NVpSeF+YOJnbPOCTkSWIInx2Tld8ex5guTf9AOVVo58Qdjkk/JJn7WBoUvCf4e9z1Zufrvt2FllOXmNVlXdZZ1do9rHe6QTQhliDHTG8rIoX8xFMu6KgDv6hMlyFP3AOKJNS7Zld/IJn3+BtgRPaU6u2tHjkinJV//gUf28afPS5RxwRvaVl4+fIJHgG+5HY//jIFiCXQmk1pecDIMUm5VuATv1DVywlrbD0nnzVicfnV5b2MZZegrSrH6vfHS95xjN2snYEq6irJHyRhIG8LUpTcP2PAl2ekb2CH/8Xf559NGxVawl/gVl/SF7F70HxsaH4bTl3r7zspVH5Vuc9d5atHRZ8jY3BBZif0MOe/l1u5IgtmJ/reQAOFjqFo5KJrb0+/Peawvi5i9kDwI5+hQnOII3dF/X9N28hPPsd+2MsNtx4cqD+9+y+Vl8nn3Cn4Oyn2D0SWGLJTt+9LCdkwxcuXxJ93Jd13xKtoaeoi/7eibr44gjWPPkwXNxD9yJ2MJeHT9+TD7Dkk1Mj0mOu62yutkysuqstHRUfs2RRLmvfAvtD6qFsOkhGz30nHZiC7sOvkoQW2Q6RmwVbVPEonH488yTXosvwIEBHqAiGUW65BhN5GXD98iGT00+aYP0GG3ea0VFfZZLmWTxkFVVTlh97ZQ11bfYP8wAAP/0SURBVE9bW9usDQ8t2fLSEe2t0wk7ljgYL0FsJdt35gbchawgM1+R7KwSW+9O2Ikyloy7aNDPNZDXN+m59err2hMvac88axcu3rB9B87YG299JaHtfvTjx0ps/df/+l8dJDAp1ChzGuLNJ56S4r3uE3f0yDFN5D45T1NWX99nZSUDVlc9bx0o3t7zNibwODn1jBtkhP/gIdL4IEqkNPxkRKKpgdxyggaCwqMLZB79ri82ipWft4aExMHB1VBuR5rouQukhtLY+h13lkIj3pu6h1MCLTMSmj4bGhmxufn5OxBbqwo2mYCIQsPiRyXLiAQXixxH8qLzf17He6Jwca0oWMnEFpk95y+c030fs7m5ZWttmbSWpr3urI+M3hBQeF5zRybOp/S9aFgXgIIDLZx1j0R/XyBBDrsMD2UO9PCg0fd5GtFJQOhptrzvLZuQY4TjDUBoaT1onKCQmzPgzW7rGwVOOk7Y4NAVKefQ7J/1gtiKWQve30tK6dx5ri9AclmG8qocUK0Fa8I6+QkaCDbEScI4QmghuEHxhmwtoss4+t48nlPB9n/aFumJNv6klNwZq6/b68QWBBfNlEmdjcQWJJiDTaJSt4it3/A9E4it0BgYxUI0nPK6eBKi99lyJZzI1JKSDgx6YM9xjAOZE+41mdjC+SZT7NDKZ7Xntb/GLlp356QNDhJlCPsqHKV+Wmtx0ZVxjIgnG2/2AYqWPcFPBko67g/2YCRliNyxT0mXJQNqbFxOTduonPEJa2rY7yTg6MgTNhv72DmxFcB4cjq1RxSkNP2QAQcMMoY3MYpkQULm3T54HscmNChGaePYkHWAYSeNmow+P9p45Ib1saea5zRGbGhwUoBvr+Sc6Nw5zUVIJabfWIy4RCcG+UJG7kRsMZIVLONOCva9nBjmnMak1yRjEGzLe47IIZwROF70k+eGh6/Z9NRzutdX7pYi/v/BA2KLdX85CSRAqJJ9ceH8BTlvJ+zQwYMC1fSYGLea6l4/sANiq639cJAlSsDlqN8iZ1a+4A4spHa0VV5OdivzZjX7J3mgB5EdHwRo9HcyqRXKsKVTTtNMFdDNqYiv+DHhXV2HPVuroYEyxCGbmZmR7MvRk82KzVT5Xnw/7BbfmRGJLUa0WRFAxxHtV7RhUX6SB++LDgvXQlaDPH1C+lRz+sQN6QJOQyaotWJjY0uSK80pepoDLKQTiAZDJERi0KObmj9IF3puMYeUJxLB5XfmFUcRUovXY3P2y4nEjofyzItyMulFOe+kFoOM3ta2lWArRyTLWjcySHHYmc/Vz8ZpD8RkcvN2Sgc8M8gJrrBeAAQGv8e1DMAOXyMGY3Sfib5oCwsvehCqueWggB19Ja76fXg0nMyxI+EeHDTovaw9nxsJtfcitnB8k8sR+YmdSn4NTnO8R4gcyELm0omtE1/zIMy+fW9Kxz0hm0q56JLud6/u66Dm5JRef9mdezJEYsCBdcYGRfv0XiMZkLMHY5aJ26ojslVLy9oL09rLQ1ZXN+zr1tl1XPdAA95nE4GzN2VLBfAgtmSrnNjS+qxm1QViy+dJAC4ZJNxp8P9gu2N2HaWIv+7ZFdht9iMZWyOjV3Vfx6yxcdZqanqto2PAKJuHjCOAFIH3/w6xhSxFe/Veg/8nyxzXiDIWbRZrwMFMN27clK29pLU6If+HrK2jDkhnZ5+373//zxMa7+7jJ/V4P4gtdGwyqcVeY88hR575eOK47RfAnxbg7unts5raDisp7bOq6jkPQpNJQlCRQ54ob9u/79PSSV/UXidxIIEREvYKsBwCMiG46S0pZJfcV5efHnx1/cQn1IDQIrhLE/Og+6j+kG45923Xp0cB3YcFujltVPIcia3a+hkrLOqybdtLLS2t3Cqr2qQfxyXvS7o3Dq4IZdB8xzsRW8jYexFb/5x83e4T8t47+YQvvPC8fPynvLfyydNnbH5xxXr799rwyHnppedtYfF1Ya23da/CqWRuSTeBfQjsh/E1PfeO6xP6atHPdnnvp4SXaKPyrDAmAZjT1tC0zyq1Tg2Nkt3eM7LrN25VB+zHR9f1qXrwExFP/5rjODKa3T44qU/WltYIe0SA2QMuIVkgEE2rVTBObLm9kn+h9xLkB1ud1H1zKNe08HdHh/zzFsjQ826jafoPKentFiC2SDRJEFuesSX7GDO2nkpkoKNjsUuQVzFrKxBaCTyVRGw9S4aZ7tP3Ff4PWN6JLSqrvmtnhN2O6/sfkk5eWnxR9vuM9vSE9NygTU1O2D75O8eOrOh1wlKSBVq7PEVrlxc4nZay1XCaX9TJ7BkG683eYfB71K+8LvoxEVvFpIGjwmycGDw+OeYZWzV1HVZa1iP/izYHp+UT0u+aqrNQLRQOFEpOHIj4SrKlObuO7CBLCXIL8ipkZSfbr/D3uxIp4qFqEFtUMkEeH/6cZOw1reHTsp3ygdrA7WOWmdlhOTk0kCdrS75i/bhs2ozNTO+Xj3tcvllIKLh+PbQbSK6USZaxiLveTWwFmUrGXLfLGa/HhiXLGFlbVL2R+HT12g3J10X73OffSWi7H/34sRJbf/d3f+dKFwWEweWo/mtXb2iDXnbH9tBBGvEuWW/fiCa800rlcNZVL1h7ixRvjxxOgceJyacTmUeBIeaYTCJoXtdLZIFopivgUFqH48lGgQDBAQVUX+E0Cg2ULM/xP8gVb8CLs0kUlb4XUkY4tRAzY2NE5g5bY9OwtbZ32fDo6C0CIhJbgAQULEYF0I2RwdggNCwWGyAC72RHJhkcJA+ei44L74kCFpVrjMpFYgvQDbF18uRxbeC92pyTEqgZ6+w8JmNx2U88Ye72yFHet19zdxhlu2q4zkawJYXE/F24QEbV9+QUfUdz8qtSWF+zgyuflWA+b/0CBzjfDU17PepDAzpOVymvmNQc7dP/TsgIJYgtAQRPzXVBDuAOQs1PZJQSBpR4hAGBdmf9t2WsaCgvkIBDmjCcsP787eSk/scaQpAQSSKiRCPBI0dpwvuWzc+9JCUSjruvqVmwykpOoyCN90Ki9827iS1Pt4bYYt/IaBNVcnLt5g9d2QeFHHqoeEmi99sKJ3jcGq6Eo2MsJSMjgiMd7vfdxJbXPQuEEgmngf3s9JPW273HsypCOeKy/ndI63JS76E5JnsrOMfIUNxbKFhIrOTBcygdFC/7I2SbPOUOdui1cFhytijlBoE8bJUVU9bceND6es+54n03sRUOaCCyBrFF8/vQmDIo35CSjtMCiAuOzZ1HyDJx0CSjBBkZ5kGOjZT7fu0PsiQAcx0dnEA4qZ+jWqs5zc8BGW4yTGI67CqxhYLl+yIT0RBF+XIFK8X5zzkytzsxtyvY6MQwjx6ZkVHEUTx69LT1Dyxqr89ae8cRGxy4apPjz3jE8//82/9vQuPdffy0PiC2oq3CmHvkW/LD2kMIQQ6TrTU5NeNHIJeUtFtxcb+AN9nGx+WASpZGArFFY2tkiUMtIAjoKeKlCcllbRAkCaICsLA6CL4kyhRv6T4aqCZslwPu0Hg2nK4HiUP2Y+iF0dGxIt1H/6hO6b5BgdlZyRMZW8ek804lHJZAmqNbIiERZSo6eshEtFn/OyMZcHO9VbL9BelIOYQ3rvs9nDp9SgBgxaam9jhhTBYM90/WLd9l2fv9hcBIKKOX/fBMAvqVfffW4G/sN/YF24YNx/GH+FhcfNm8v1bfWWtu2e8NVHNzO2S7+qy2dtba5OiRaQexRa+XWYEH+nx5ycChEHln7SKxxudR9oGP4f7FLdsVDl/xNUuMaLNYN16Db8Jx9x5A030SDV9ceMlLIRsb9ur7n3JiFPIkEnvsnVVi6/ta/+DTAELQvTi/q87uPx0OJLx84fbm8avEViRM2Vec1MV8MpdHE77Q3NxzshtnrK9/SWu1LD9sv+wYBM5q1lbMpsVGxb2EXfL9pHGrRJHf33rT7Rh7AjvFe9HvXOv0abJMDsl/kK0aHpeuHbCqqhFrbKRc9eQtAhJii4wtst6Yn1uliJILvocTj/pOzBPfMZCAIQv79nlgACC8F5rbbubjd3y9WG/kFrsNUUqGMf3gOjtXdE9j8rW6JWPDen5We/WA5HE1owRfF/m6ndhCNpL9wTiwR/+czUr2DRmf1zXe1vW4ZrLNejZx4viFC5fcZo2NHZBPdMCGBWzI2vre9/4kofHuPn5Sj/eD2GLdkbcoQ+AQ9Dq6ldN7yS5e3rMgf4rMkS4rK2+1ktJ+Ae9Fa2s/7sSWg27vE/qa7V9+W3hMvh+n+1Fh4bqWyo6ArfDfArkVApzoN/cDKU+UL+gVMklBGJp+X7uOzaKtiXTfxe85pkCfHjn2ZccVZJNMCnTjo3PgSW3dtGxqt23bVmQpKQXy41t1j1Q0LMkvpX/dSd3LKrEVcFfi8ArpnNtBN3IScVb0Ce80oj/Ia122ZMO4BteKPuGrki8yfiBIrly9bKfPnLa9+45IHyzLhnAAyU3pgZf1nd7w0kLILWwXiRiQP0cOM/T74S/JPn1BuvWz0mGfsoXFT9o0bW/GONH9orULu9VqjSqrZrxklICZV5zINi0RMNv3lp+IGNqphMql836y3uohK9idUNam9SExAPJK+i1k2JFpx+8kD+C/BxKSrGL0nvdVPiMbIBu1f9+bjp1aW496lh/rRFY4mavxgBzuIwbu3k1srWYVg43Qs7fKERmxCsYTBEIZ4nPPk42EToa0WU0SuI7/I1sLsUVAj3L540ff8ZYF3lt5kmAD/ayogBnXvl/UHB20U8eFpWSnApaKJ2iGPlvJNioOZCp58FwktSL2vh1b0Rt5z9Ki1m9Ue7jbqmu6rKJqWPMVyn3Hxp+yGa1vILZCua8TW/gU+IOSLTIiLyNXyIyvW8wCh9wKI7TnWR08h00L6wcpKZvlVTHfD/7QiXeE+z6vdXpdMv6ME1ud8g056AhiKzW1yQqL+mRfh62pcVTYfc72LB7U9yEAGsp9b9684TKGbX8vGYt8RpSxaLO++i8gtnh/xF1cm8+grdMTT9yUvrlsv/LVryW03Y9+/FiJrf/yX/6LTwxOdIgm3JDivaINEcuj9gnczsrp7LaS4jYrKxqxumop3uYjAv1nbWjwqhMlM7OhzxaZR/sPfE6b40uugBFsT0PXQganE9IEgiY000NIYaDfNXDg9DwpgOf0OsC7p8dqswHq6TM0M/OCnOwL1tK6IEPQKWXTZaPjYza/EDNrQq03RiSmOb7wAtGDdytZhIOFi+QWA6UZnRM2RdwY8fe44BFsc40oXDgvKHLmFMWOgseRgtjaK9A10DdpDfVj1tp2wHr7z9uwZ20950Td0l7N3UGUbSC34tzRjA/HGSN27pyG5jKWdEAaEVUZFTjo6T9lLe0HrFrGp6RsyHIEEGiQR0kHx8tTfz0wCJn2pM3IAYREIvWSU66OHP2SPo8UZ31e4rMwmBcvSqilrMgWu6q1uS7hvu5ZXAIJPvj9d/x5wMHlq7+RiPzEOnVY6Si8OOCc1HhARnxSCmbRj7omWk/GViS2kksROSqX+yAD4upVfb6Uw00p+JtS9LHnF5ENd4g1nkso5tUhJazn+X9QNLFkKClShaLRvJ5gPimRcWKLpsHPyiAeltMxKod9XIBqMUGaHtU9oVhCCR5KFLAdDTh7ALAYBwqX5/gfijcCc97rADJxytT0tAA5DUQrBjSmraXpkPVBHo/Q2DAQW+x97o9TTo5DfrJWkimUJcoX+XEFfIvceq+x6uBwwubFS7/lCpzrucJlDhL9ZYa82fV+7aFh41TUqal5GVTSzk9oP55/T2LrTk4M8nO7E3O7Yk12ZKK8IWtci2smgwSfxydCKRpRjJm5Q9bSJoeDEqZeGa0RDrd43v72b/8/CY139/HT+vhf/+t/SZZXAQKOC040pBb63rO1Fhbk3I1afV2H5ec1W0nJoNXXBz1Djy36T3ip1MJLTrbHCB3gmyyY0Eg+lIFjpyhtu0WSJHRc/AnhFUkRnoNEwXHlfVyDa4WSsS84CQQpM0Svktb9VlTSafUNnTY4RGr+jGRtyb8Dpc4QdREYREKC/Y4eYe9HBy/KVrK9+lGD10abxYg2C5l1h/Dpp6QTroeMrQSxxUlyra2hxJeIME68z+Hiy24/IrlFcIQ5hMTAjniJh2wAv/Mcc0yG08qhzznRBzlE3ywCVD29J6ylZdnKy4ctM6vF8gu6PdMO57O397SvGw487QfmOfo+4bRDnOC4c/AKn+H9vtzPSAC9pLULAyAXR3yO0nlIre85sR+yob7s+wOShjLExkbZ60TGH6ABco2TtpzYkq3GZkKIrpawBhINsBJBw//ugMyJOtqJHOl3vlfcW5B6zCP9vsbGLmsOl+W879G87veSO5xf9lLM2op7Kdoo9lPyiLaKwf+xZ1HeYpYJGRn7Y3+tnhGrrhYQr56wpiYyF4h+X/e9EYFVzIj0jAH3X8KpiMhK8jzF4eWiDrRixDsMANjqXISsSO9hh28oO8j+W977ySBjAgjYq9raQe3ZHvmJEFsz2svxxMj3zthCtpAr7M2d5CoChGSQgL3i79tfyzWQsQgKkuf0JsBAuuvkyTO6twPyMWbla5zyrK3vfuePExrv7uMn9Xg/iC10NTqVPYb84e/hpxBwR44Oyueb174cHuLU3ib56o1WXDpgdfV73F719V2Q3rtu9LjiZOe9S2/aof0c9pSMDyC30D2BNI7k1i17hX2SL4icrQZlQhAmNPyG1Er47DFb//iveBnigYP0lXpF+O6mBxeaW/bqPsetqKjTtm0rtJSUPOnFdhsfn5DOoVXHIcn5asZWlK+oc9AvEBXIBDYoGWtFvzDKVfwZB39HDMZ7bsde9BXigAwytiBIILbOnD0jmT9mk1MHrKt7nxPHM7IfTm4RJN77ttZAWPXgF+zwwS/64PeVA5+3g/s/Y/uWP2V7FqVT9PoJrQEla2T40KsY/AKx1dKyIrvAKfc3Qo9gytmEHVZkmzxgJvtP5cm5s2QyBywFueFrIyzjFUsJosSzt27+oT2p8VRikA1Fn2NIKCpnqHYi6MY1j+n6e4WrCDw3N694lh9Yil5flIJ7w3xhqUBskbEViS2ax9OTNwQWkrO2gt5NIrho4ZKohkkOwIQySUgbAg0Qbonm8cKL2CdsPnv00CH5PsIRMzMcQHBIGHRUPtCI9v2cHSCD9uhxzc05uyK58AqYZ1YP84g2CTlisHdY6+TBc/yP1yaTyOw9ZC0EYlZkjxbka41onrqFh7usqmrMT+L3rEiIrRkOwIsZW6EUERuL/wKWJVmDg8Y42fAK65ZoNQBpFbLqmMPVEe1YKCMNc8Saw3mQOELQk8+gzyj7ZXYmYOPOjsNWVzfnJzZu315t2dktVlnJKe9D0gOLem0o9w3VaMJdiXY40Ue8E+5CZv45YosR7ViyrCGXvB85w4Z98pPx4K7VFjBf/8Y3EtruRz9+rMTWf/7P/9kdF5Tu1avX5Ahe0aRR1nFSimrFFdbIyKg2Q6MV5DdbWfGY1VUvWWvTEevpPG0D/Zc9qgA5MyeHc0nKd9++z0igPn+L3AqZW5AUEDShXIHFpV8EZVT0CAonU4TB3xBaNPKjNI6SK5r94bwgqJAfKPu+/tNWWz9ulTUt1tXTY2MT41LEC7eILQBPULJXtMFQsghN6LXFAiEQbAKUI5sgDpRmVLpxRGclKlVe9y7FqmshhBEgROFi8SOxRSr84OCU1dUOW1PLku5Z8zd0xbO2IJoW9nzSlvd92ss5OfkxzN1X3YBB8mDEiCaflvFBUdFAFqKD0xWHhi9bZ/cxa2jeo/mYsMLiXgGEVsvNkyBXrRJb/QNaLwCCp+W+6llbRH0hn7geGQacPHnmDGmYkEocAEDvEhQiDulv2DUZQ9JOV8dv2VVOZpGBJPuJcjacABQD1zx4iJMaX3Hyqq/vjB8RXFwq8Nmw7NlbCPQkxNbsS25wYM1DtCOmW39H+/L7Un6JSIMU8k0UskcbYlN7KeZbaaHvBgghHfRPtM//2N+DMsfAk13mYEHfjfv108uIgmv+l5ZDttLA4EkZjDHttUEZxDmt4V6tTSJr62KIiEdyKyoYHOUIHhj8znM4teyNSGpBCKGgKG+k/8fo6Lic8U4rK+0TWJi1NoxmD2AcsBBqwCk5pUfACuQn+0Lzcxp5SpBbZG6FbEiA22oJ6Z1GOJiB3i2/rff+hp2RTLqsCYisIGdas8nJmzJIZ6y5dU57tkf7R0B8RjK2/5D2Jv3G3pvYei8nJlnJRiJrddzZkUHeuBbX5Np8BvPJXBL95h68HHHfUcnVrB9B3dl1Ss6M5m7iGfubv7lLbP20PyC2kBucZtYb3U7wApBw5PBhOXnL3jS+s5MTRRvkFDRbaRllUkTAjzgxwTHdOH5kduCEctqUZ/4gTwlyy1PQJVMxEEOWzC2CS7IVf5LNSvQz/s1rcFx5nzsuCZtFVpj3kpp+VvJzTo7LjOULxDTUt8i2hmyS/Xv3eQQfYovvhV6JmTbolUiaR3AQyS1GdGIiGE+2V8l2K8pQHFyD66GjsIl8Dr7A1VvBmBOyDYeke/bIgZ/0wywgmcja8uypOQieV9yGHJTOpjQQvR3m8av+/f2nbBgkDE4cEVwII0gtsoYhQTxS2XVUIGneCgq7LS29XvPTrc+b9SAI/fIocfM+WwSBvByR7FV6RCY+N4lUY+7j+t0iueRP+PokrWFYr7BmrPMZt1mBgCOaz5qRgdTUdMAaG/aH6K7uYXYW2/mKB/Gw09jMmC12BUCJPSTgcwPQQP+o2Ivjn9qmO40IMEI0PARhuKbbVn1GaL6vvaXPxnbTQ5AeHT09+zVPi5qfvbZ3737p8dXgHuRWJErjXor26fbB/5J9mEhqxczipT1LmocpgYQ+Kyvrla2admKr20/3u+Zrinx5ySgALymrLpLGsdTXya3EXCUTXICGUC61mmVyy27rPSFbS2tGIEZzARiBPMZeDQ1xguW8QDinNHIS16gHpWLGVpQvvhvfMRl4R7ki0yrK0+2ylDwiaOBn8vO8L/qHdya2nhDIkZ8ted+z56B1d89ad9eK9NNl+/a3/zCh8e4+flKP94PYYk/hnyB3yF8ktdDxyNHeJdmriQn5eD1WVFQjf73OiksGra5hSfbqqBMmQ0MQ+k9L57woeyXfGDIGbLXyJcnVauIAgW7KCJ3ccl0HqU/7klAZQ7CTrHx6PKFL/HmBdQA7gV1v9aLvd1yyhLweOvw5+eFkK70kWb8h3XJS8k6W0rB0c6vt3FlsWZkl1t7eLVsAsbXoxFa0X5HYYq+jS5IxF/KQDLyjjEVZigMfMPqByTLGe3gv1+Babwhwv/6qsNeLL9nz8kGd2LoSem6urNAC5qDsy6L19560idFEcMTn8zVvys+cHhBmPZgYB4TB9i+/5eWfc7Mv26R8b9rGcKoylQCV1TOWVzD4LmJr1IPPz9mibNNe2aaDBzjghB6UBOhDD8pgi/4p+QjBRGNxCC5v9XIjMfx36UX58CQQgH3wOSCnuOZRXX/PnpeFqc5bY9NB3zOUzU/Rq88TFwJRA8GGjcIuUjmFP+M4TvgHwizgqEBuecaYcJTbKw7n8vEXiRHt02rvLzKRyPqD9Ll0JWb9BexHFtzBgxBbb8pXeFZ+w3H5ZtrvvYNaAw7MWZad5UCu025f6EcdK2DQk+wZZCgSXAz0KHuIn3Hwf16HHo8+DPsPH+a4fMN9+0gamNM8DcsmdFhZebd+Tllb62E9F8p9aQnkFTHenoLm8QksLF8wVA2ROCB5kc26RPBK3xm7jE0KBFdiOJHFvETbJftNua9eT9KBZ2sRjEkQfwR+9i1THfScDWvtOjuPWkMDflCPbdteZqmpody3u3dYc7io9Twof+q47oeKIdkw7fVkG8Z83E5sRdlKxlyR3IqD5+6EuyKBHOXslVdes0/Qh53M/utX7Zvf/GZC2/3ox4+V2PpP/+k/udIFKOAAQWqx0Y4eDc2sZ+V09/b0W2FhteVkN1hZ0ajVVS1aa9OKdXecsn5tjGEBb8oRZ2Y/IUX4upTcp5zcCgo4lCVSqhAJGthmMnE4hY9Nw8kDtw/A+qnTZNEEUsszaeRsQuTM06tEm7FLznB55YBV17Zq4XtsfHJCnx+ILcpSYGtRsrD3pOyRtcUpdpF4QFCSyS0WMI4IFBhsjjh4nsFreA/vBWhEgMC1UeQQHRFwnz9PhIYGdnvl+M1YbS1RmTlPae2Vszw8qvmbesZm51+2xaU39R0/vWq8SJGVAeMkFHfcNQAKAAh6QUEmQlQNDF5wpVsnQF9ZPWZ5Agbpu1sCsVU5aY3NoRSxr1/rJSU8MfmsRyJi1haNfCNACErwm1LGADyIpdXsLQgmwJyX6dCHi0bBnPYRAcIFFBsR5W+6M0uEnusDRohqdHUf15pNWWHJSCC2uk+6MzcB2Eykg6JcAJonjgukeLQjkGsQa1el2MOJHr+r+ZUicaUCuRUaZYb69KShv3me0juUjSsaKaSQrRXqnSGFOKXCsysEFqirJ10ZYmtw8LQ1t5Aq3iOneUqGZI/21z7t56P6nuFY42RyCyVDRhaKBuXM4Hf2BEoXRyeChQsX6GNzSutMRGHe5aykpNnKSvut3k9bOWw93Wfk3FxzIpf9sUdKcO9+yRZypT1x7MQ3nIxCXiCmIITPX8BZIfORbIRAcL3XCCWIv2mchnn6zHc8C4y55+QxjDSNkzm1qa5h2JrbOm1weEj3qjlIEFuhxxby9U+jc9GJQU6ikr3diYnKNo5kZyY6MlG5cp0oa3wGc/suYkuOzP6DR61vQDJWPyEjcVzrp7019qT9zV//14TGu/v4aX1AbEVSKwJtjDyp5vv37bMFydDo6JhAbafl5dZaVlazlZYOS9fKXrWt+ElGECSU0kFOQNzGXkmB3AoldQBlD8RIJ8RATCBJ5JRyupH3joqkyOoAUATigZNgv+a6lIwiSh4XXJae0J48rHvqtYL8amtqpIxjxAlzsnmPHA7EFg4ZMoVOwUljj6NTYmZJMkBAJpIHDs3tNovBc7Esyp2UJJuFLNFf8+mnn5F+vOnzG7MKsKVTU3Ny4Dlhctzvn3IHCB6ymWblQGOPyXA9KL1JiSF2hLn0Eg/pU/5mfumzCBkFYUSpGvqVOenvP+slh+XlY5axu9F27aq3goJeqxaA4JREStyGJMchG+gZJ014f/LaYWdCZhBk2tfczzh16t3rB8HlJJf3AFvt/wXYgHAhaBRsViCM+Jy+3rNWV7sk4LBfvs55t2HcNydRxXLIW6ci6jMgzDwa74AlZCPFyG6Mit9OZMURCa1Ydhds1Q/9WjEafkaggb5t3CdzDLEX+pTdFGDQHu+ak61YcDtFBiNrGPfT7WAzggcGeysGX9DjTr4k7BTvPa/9gKzhE87Nzkuvkq3VLr+wy4Mw9CBDvpw4FrBy+SJIpfVh/SNp7KSjHHvm3YE38yU7jD1mvkLQBZLr3URXmIuE3b6clK0FQHAi8nOeGYBsc4Jlbd247q/DgTcnzi0uLOg1IWPLSzSvBOI4yhZzgCzgz0W5iuDgR5Fb/2To9byP93MdrhllLRKGEXhxP/v3H5D/RnYiR7mfsV/91R8mNN7dx0/q8X4QW8gSe4y1DtjqnPt72KsDWvOF+QUbHRm11uZWy8kpt90ZtfKLB+S77JG9OmLdPWdscOCK9u9TNjP9gi3MvWrLe96QDn1bcv85xwchcwt7FQ7RCNUWAuLSRRel6yh/S7ZRtBfBV79EEPQi/uJ35f9K98nPh4xAh3IaItlay/vIVnpemOWqddOzrmHWysv6LTe3yXanl8tPrdN+7bepaQ5mSGRsSd9E4jj6xNF23Z5MkAy+GT9Kzvj/LVum9yKnNLUmW+u1V161F1+Q7pJsPeEZ/Jc0F6d1T0ekq/dJN81aV8dBP2xsjEQM8CrBfZIxFl/TvAp3gb00OJhsSTiWLDkCyiN6PYdidHWfsPrGJcsvGrCc/F7hrGnjRHcattPPdUo+egiYvaI1igGz0JLHs3+cJPm2B/4hE2mzczFBPDrBJV+drCwqYkI1DEP6UH+TPEDTd9aT9jQndc0jK5/T/b9gnV0nraFxvxNbniTgWOoFJ+7YK7d68sq3D4GF0BKIChhPEoBEg9wSPiL4/+STEFyQV39qzzwte5UYT/tYJbV4DweLhcPC9F2EDUNSw686Zl85/GVhqc95ksDsHKdJnhIGnbHOjn7hvUnZ8EXd32p1FWt240bILmbPBBsVyufjwFeJPkscPB/tViSR8Q9Pnz4l23NYdmhZMjRtHe0D8r1aNGhzMG/tbcIKZEWOPOH900Lf6bfsAFjYe2fKF5R9oTcoZBQVLSQOXJQthshzO+/ZkMFm+ZDduvW7BjbNM4z12tArPPTFppUAVTeHhPORaU69Hx4gY+uo1dfNW1FRj6WklNq2bdlWXdsk3DWi+1t4V3DGia2b7ya2sDPIV7JsITu34613JxMEUovBa5JlLdqxN998S3L2SXvl5dWMLfp7fetb/0qJrf/4H/+jK10m6uwZFO8ZB6yH5WTTU4g009aWTimzKsvKaLSSgmGrrZq3lqYDDhzpAeTEhBxdNgdpnotkHi2/5QTFQQk3guXklpQw5EGIrAqQa9OQcQKpkDx4DkILkE1WChuAa8A+08drdv4THhlsbdlvxcUdvvC9fT02MTkuB2beU3whtjAiGJNLl0nHhw0ONbxsgujI3A7AWURGMsGVPHiO/0eHJRkg3EnAmFvq6Y8cDdlv1KPX1oZUyNa2Q56+79FoOfhkUdGkkJM79u37tGfmkMoZgMKXQzRc46gc2kOeBfCqEx6kopIqTIPkuvp5K68ctdy8Tkvf3Ww5ed36e8L7brW1H7MeOeeDen2oK5ax9KwtyK2wVjj1QQmGzK13E1xkcIWU2gDw5JxqOFBw0BBObAIUBmAH+caJIpThvGBDw1fkAFOGM2JFxSPeeDGAzSuezTU7+wlblEEhEo5xZb+sRju+o89LpNFKyWMAnrj+w0RkI8GWJ6WFJg+eJ+pLaR6pv+4cX5VzTLaWrkkZIt+V43kpwTuw/zO2pD1MBGZg4KxAzYTV13doz40lQOiS1gQjHk4xY42jIY9AlD2Aco4D5RPJzmvX2BeXXd4CWNgnYzQloNtp+XmNVloyqD0iMN4SwDjlo8lZdktSvvsEIg+yLyQbx0+SuUXZD6dakg2ptQC4aa7I3rokIHDnEUp+IbV430nJ3FHJJ3NPFsaMwMnIyGWBziU//aa9o0sGgug35F5IiSUrEiPCXud7RwWLExOjB8hKlKVkJyYq29tHJLT+qXJdPTobWeOz+EzmHfDFvRw6dEQGdNZqakeczCDKBiD+67/+u4TGu/v4aX38X//X/+WyBiBkrU/KiSbL6aAA/NIS/YWmpQcH5Ri0WFZmpWVmNngpIj22KE3tkgM46I7tDY/a0ieKkjL00/4DqwRJAOExkBAj4qE8GzAdI6+3D3QfryNryEktySfZWqGsGVm6Yk1NS5aX1yQ5r7KWljY9NywndNajlysrh10fRJlCpyBXkYyIAAFbkyxf70VwuR1L/Iw2i9dGGeI6jGizODYa3XTxIin8oWcZhNvkJKB7yCorKe0KmTkxg4qDYwAIHB4D0RRO2iUw8xnP4oJ44W8ntPR/5psgB2UbECAOmrqPeyPXgoIe25FSbVu3VVq+gAPEVmPjXi8F7O3Dz7gif+TJQCwlyC3K3UI5JL0x6GsiO6m5Xw2kRUARS/kT60cQwMd3fc1u2SwCRtoHe3VdGrq2SYfUVM/7/gmliETmQ482iJSDhxKlHnp/MmhwsiZBbuHgOjnzLoIrBF6eYtwqAyGzmABMzFAKx7v7MeqJTGgiyCGr7KvaX4GAC34AxNZR7alxGxme1PzMay2WHUTHAF8yuYXe9D2VsFP8Hgd2KvovvIf3OiAXSCCzmEbsHR098r2atZc7raZmzoktABaH14zJVrFG3gtN645fEUjjUN6x2uifbEjaHAgkJMBdAAuUSZFtHEuoEsPnIpBazLO3OpCsxZLMxYVXPEBGwLOikhYMTfJR+7RP8QsBBdgsgajESb7MBd+T74wMRLuFT5csR9gfwPSPAt4Mt1kEYhLyxrWQU+SM6zPXzD2yHcjj425LR0dnJVuzxgEK3/rm7yY03t3HT+rxfhBbAHPW2Ylh2SzkEP3OPkSOZqZmrL+3X3qu3tJ2F1saxFbpgNXKXrW2HpbvFypixkaftOlJ6djZl23PwuuyFaEqhmyYUJYYKzsg9BP6Dp/ZCa7v2QX5g8E/Dz/xoy+4zZKvqO/EKdheXSH5JLB74OBnpVPfEo4jW+kpJ0u6O49aY92MfNMey82pt8zdZVZd1Sj/eECyPqXvs3SL2GJf853RH8gXtuX2gOftfmGUsegfJvuJ0Q/k/7yO92DHkC0ntSSzZGu98Nzz9vSTT9kNAe7Ll+i7mQgaLyzLfiBfc9bVSesTgiQ3HHOgy+dJyJh7xQ+3Wpx/1YNQZHTNTD1n42NkgF623p7TsgWHZAOnLCu7y3ITxFYk9MmUQu9RPcP7b/WbPgR2g9wiYCZfwm2R7ATr4qRjolweHahB5YsfrpY0rug5AgC3AmenpPeOvmOHZfPmZp8Vrjtq9Q37pTuO+VpRsj8n+4qN8oCT9C82KiQsfEvX+I4Tm2RtXb/228JRv2tPyEaBpTjhMB4MRpWLn34PyaURq16elA0jm8zLIwmck8V0iWAR/TTB798QjuBEydB835ME3P85Zx3tsqXNfcKso9o3s34aNGuEfQkl4u8+ERp9iRyxf95rxGDBaiAGEvms7Pkx6dZ98r0IxIx7T9PcfHzCfqsTvmr3rMjzwgsk5jxjs94KR74g/deEgbxiyv0/EnFCQAa86G1fZI9D1l0guOgTHuzW7UP/k83yyiCtHwQZHMcx7YXDWhNkjUzMmYlnbLD/onXI36jVvioq6LTU1BL5Q1lW39hiIwRn9oTgDJn0gdhaDVQxD1G+ov1CTqJMYZuSya3khIL4N4P/RzvGe7kG1/JTEV97XbgrZMaFjK1r/3oztv7Df/gProhQupQfHj92QoJIttZBOUf0KxnWJmi27KwKy0hvsKK8QauuDA4nRApO7gDgEbJEjq6XJM69bAt7IGjecJKC8kGOtYScon8UJBfOJyAa4iqMryWNr/r/nNDS611AdA3A9oKU7TSndAig1NcvWK4fOVsvxUVK7JiUyrwd2E+PicOuZEM54jltvkQN79OBDWZxIkiIypYNgcKNYOFOgIHn+H90WCKpxbW4JsKIYwjYJvLtTuFpFOxBOXpzEugRq65ptbIygYSWfXIGj3t5CqCHUw1pYge5tYfowd63XcjY/DjbzOFh/aRMbHmJ/kcck37DlSq13y2th6y6bs7KKoa9v1ZaeqMTW2UVEuoGTrYKUSCa1o+M0dvrWT/C1skSBwir5BakFDXAfiSuk1xEhOhhEoymR8ITg999nBZAOEkvtFB6QpqlO5weUX5GoPOc1mrW8gr6rahkVHtof8IoCLCMYWReEFh5TessZ/ignGHtk1jG6oZaSmGV3KLXVyKqcV3AwcGDBieNEEkAHNCYMRJa14ksBOYcZcTJkpQgcrzxKQy79t1x3TPzy3G9RHGoxyeboKFh0qqqWl0WpqentDZkBe6T4iONNpCnEYiy7igbDDr7IIIEnuN/vObSRchOUtKD4d2zZ9GvXVkuoJDbnDgRTGC8GbBwwo8XDll9TydKViVbyeSWjAhy42SxDBeZjhBVlPqGDC4y6e48QrkvPexCZiTytu/gp22Rho/TRL/PymhOWoW+f0dnl4BlKOsgch/JY/Y434vvGMH3nZwYB9oJR+ZOQCHZiUl2ZHhfBOTJ8sZnMb8oeOafe6Gx8fj4rNXUDXqvCk4IpUz3r/7qvyQ03t3HT+sDYgs7hWEHoB6W7JCVsm/vXtmcOenQMWtv67KK8lpLTy+13bvrrKi434F3U9N+17V+wp5sFQAYcgvC3cvp5IgGgiSctufZRgmSJARicEppjv5NHzg6cfC3B2kEDv4JqZXIUCJCjJ6vrZu17Ow6y88rt5aWVjmiQ9Ip03Ju9jjgiTKVnGUDQGCf48BEkIAMAMKRBwa2iIFdeq+RLD+M5EAMjuT16yHzkUxSfAFkiabA45zU2tpvpaU9XtbZQaax5pGABCQhc4ktiWQT33d56XV37plXStJilhYZXoCJQGpdk345Z/SbpGl8dnabbd1ablu2lFpOTpeVy255GWki245SQN5DGWQgt0IpJIQZhBrN3ldWyBr7gq8fNoxDNsjiggyifwykyhmBOewVxAjr5k3t9TrWm/IRz7BbeMlGR65afd0eq6ziVM0jvnewt2Sq0UPKM8b0maw1Ns+DQLp2ILcSmUhO1Ly71C7Yp9VyBciuOJJJLcgc3g9RFojTb/t3YD9iG/EHuFeILU7C6u05bg31w3LWsVPTrqeT2zKwpyKhgy0CQDDQ2/F3Bv+LpFYE5OxLdD497AAlDfWtlpfXYHn5XX56JX1nOKCB5sqj+BaSLYBVKBklUMUpZJBbod8WACsQjQLYCYDnGQwMMkoc6P2W5jCQXT5ukVqr5S4heEYPzxA8o0y2tW2/FZe0ad2apP/7bxFbMZM/+ISr5b7sfWwJNgu5QEZu9/2i7bqT3Uq2X/w/ksiMOxHIfCYAjoAnB0ZQXjI8PGPNTVPSCXvtG9/87YTGu/v4ST3eD2ILnY1fEvEVpBa4hJYkyNGY7FVHe6eAdqWlpBZYaiJji1Yd9Ezq7DwlnXPRRoZu+CE401Of0B5/WXuZqhgSBxJVMQl7BRAPGVyB0I+APPjrq8MDNP479ou2JpwE+BX3+/H/9+5/S7r7NenqF1yW+6X3OqWD66onrTC/w3anV1ia7re2BmJrULqGU32XJYeB2IrB3mTgDfkQ8Va0U1HGkJc4kLFkH5GfcfB8lC18Sq7j8iU7RrbWc88Ie+nzrkmuL16glB4bRjXEsmzHtGzJqOY1nGIIuTUyct0DJWRacThTHPj9k7LXZHZh4/r7zloXxF7DohUW9su3kJ+e3yufeMorYbwfmuzY8CgHqYVs1ZAwQA9PsFuwR9iYZN3n5BZEYyIL/NKFkE0XKmBWBzrvgnBPDMKcBC8fFi6Wv0IJOv0f6xv2eQCIcrZJyuVlo6i4wP6CvwmCoHsJ4ENmXjgf+hY7uXU1JAoELLUaiME+Ocl1Mxw2FSpeEj2/yFK6SvZsaMEAUUplDfvJs4llS30v7RP+W3zdg/L0OCNIXlffKxs1IJs1KbwuG7U/2qhYknjNdSS4KQZgbh/oUX7yf+SM12Oz2HfIG2u/cviQ5GRRazllXV0DVlLaYJlZtbINA1ZXu0c2nb6r5zzRgz7hnIzop2YK/3FwQGgHRDJOJIx/1deNdfA2SmQ9ag4huUJ/48SheLcPMu30WvArMnkCu8Wpo0e+KFl7W3PwirfiGZCctbXIF6ocl5y1BR82s0C4vl33NyE/Z4/7ZDELO9ov5gGfEH8O24Wfh2whK1GObie33mvEpAJez3u5RjL2QoaR5Yi7/tUSW//+3/97nygM/uHDR+QYHtGi4tAuexZJV1ePA4WMjDJLT6u1/Jw+/T0lJbHH+19wul9fz2kbAnz7BhFgkHLA6VxYeNUdG1hjCA4IGsoJYUOd5OIECjloEFicwnGYgXOpsUJWkl5DvyOcR6LqNKudmXvexuTEQdBUVU9bVnatHBhSYskmoSkd/Ur2OmGAsATiQYr2VtZWiFYiGFHZ4tBEkBABAgvJSAYGjPh/Xst7eC/XiKQW12azsegIWSyXOXiIss5pGxikNrtJgKvHGhqppT/ipNTAYHAIqeeekfEK5FbIfIMchHRiDiFd9ul5jgCGSMSRAxyQPcfJh8xJSfmgZWa3WGpqnWXnyHByZGjdojW1rFhHl4yl1opja8elhCEiIUvmpYhhq1FErFNYn1BOgtFDKR7HKXWiC8MZjOe7xgl6ahFJltKVMidiAWE2JxBARhplhyXl45aT3+NZW5R3eMaWjMzY6E2PkHhqsN4TTqcIDYlDqrVAg5T6+bPflRH4vpdAXr3823btyu94Ci/RXI/q3pByfoLUUEaI9F7R/+g55b0GpIBQRJRMetqsgxuaPL9jx6RoVqTQ9mnOieAQ0aE0oK5uwsrLmq2nmxTacRlKTjEjQkW98zEpvNOuTFHKAEPWHiUbB3+jhAAKONTsiVMnT3vjRC/tECjv7uqzkqI6y81p8tMsK6vmND8HEuWq57VeV73p/5QA3awMFlmRSxCfZPWxVk4W6ztICRNlALCd8nJfonJ3HpBfpzCUei1g6fCRr7i8LVM6uviSZPmGZ1NUVg0KZDYmiC3J2Py8O2c4abF0iu/Nvmf/J8tVVLTITiSMcUySnZdkIiuO6OCgWHlfVKw4RlG5otBxnJhb7gHCg1Tdcemt2oY+q66d1vxxbPZ5+6u/+s8JjXf38dP6+J//83+6LiVLa0UGnsxc9iFlV1NyXvr6+q2+Trq1qNJ27SryXk1FRQNWLZ3Y2LhPThWBGNkqoquj0rVyZm4vbYOI8ogdOhAwLjsUCK7YOyqUur3XwJ6R9YUOhSjjmlyfkjtK6qqrJiwrq8YKCsqsqanZia2pqakQkNH3wW7dDg4YESBEpw4ZiIA5eWCT3mskvw4nCBkKNivI0RXJEaRWMpGBbhoepryzxwqL2qy6ZtozISnLQK5C5laC3KKcXk49GVnMZxwQHPPyByCjIIUgYciipNEtPRYbGvZYWdmIfIwm27q11DZvKbHs7A4rLx/xRqqAEci0PuliSElOtwqfRSAkXH9pTyC3sJEchrKyQpNlAmlh/dx+aX0guQAXjLBmX3UbA+nCunGyHtfiXvl+1dVz+s5kbB00Tm7kvjlQg5MRIevIRCPoRESc6wXgSCPnVXLLh2xUjOJik0J/jkBgJY/V8gW99upvO2jgWlyToFIgTuUjscdkIyF02F/Yqq6uw9r/Q+7Ej42Pa0+RXUxPyBWXG9YVPYkNinbqToP/RUCOfue9ZGuRcU5WZHc3PmGdZWXWyFb1eGYdPTzjAQ00WYZ85L4gHiE2ndy6FTRjLTiF9BtOUPHdHCz4CJl0gD4ILM8yIcNEwIDfeQ3gImaYsMZkrSFnkMfsKbLWCwpadF8t0glhLm4ntiIwwD7HrK3bg53YrNsJrmTbFUe0U54dmfQ63h/ljutCnmEfHYAlAjFHjhyWbxtaVDQ2jXlvyK9//TcTGu/u4yf1eD+ILQhi9hr63AMxkiF0KvYK4nlAe7Ohvsny8ktsW0qu7UqTXSjqt6qa4PtxMmJ3zzkbGLhioyM3JeNP2/TUC0bm1sLC6/LXaVtCWeJnnEQAV7l8OcGFvx6yuG6NW357GKFsO7Q1QY7Qm/TV4qAnMnAnp5+24ZErbrdam/dbdeWY5WQ327Zt+bZzR7bV1DS4/ZqZCcQWgRl0RXIVwxOaA0Awdgb5ij5hxFj4dtEvvJOsJQ/+z2sjDnM7JrmC1CJb61nJ1k193hWqIXQPzDnZkHOze6y/b0r6YNDqauecAILQILuUEkLPPJb+nBx/yvXouP7m9GT8BLJ0u7qOe3VQFbY7u12+hfz0fHoXUwmzFOwhGE62kEO8PMgjzMNhaoHcIgPo845rk8kttxXyz88J06zqPLLpElUwwjnoPv6HznOscvKbwg3Se/LT9+37pO79mtXU7pGdXLKO9qM2PHDRJmWPZwksyOYuu40isECiwJe1DzggLGRt0d4Fcotea2RdUQlDz+RgowKeCgdQEWz5Ay+zu2Wb6OF7GVKLQENoGM934vrsJ7KnKWcN+O8Vz+ymhUFry5L2Ta91dvV6IJKsLfYONgr/nXXD9kTdDKbAN0FH32nwP+QMuxXxNnrV/ZcD+/TZM7LZo9bS0mk5uZWWnlHtJ2XX1ix6okdX9xntA60bfbaEP7nXJcp9vZddyIgk4y60qIjZW6vZ326jyOLytdKA7GIk/vZS4ITdghjjGkeE0+A3Dkhml8jmF5Yflz/a133amhuXrbJ82PLzWpxzKS6p1N7q1fxxKv+SZHQ1KxI7zXdHviLmwt4gG8gIMhNtVcRY7xWUYSQnFkQMxjWQuShvBGewY+4v6vO/8a+1efzf/u3fujONUkLp0nQUUov0vSFOEWhqtZLiCktLK7RdOyssN6vTykvGJEwo32Vra18RKJeTKwVA5pA3kp942su45igtk4J04dIGx/Gk5tezkMg2QRkf+oIrZAanvfmQ0DowkMJGcSMci3teEaB/wSZIjR2mPOqIVVSMWmZWtX7WSfl2SlCG9JmcMBWULGn4bAKY4AsXBb49a2u1XAxnhg3BYuHox4gdI4IBlHDy4H+8jtezkVDWESBE5jgK2SpzvKLvvizBmZSi7LWy8loZs3arqQsOM5kEKNDBoatSjFKwU8/78bL0z6JJLQqSqDTOGw2PSZ0l3ZTSjIHB81LSp+RUHpVTtOzKtrCk13ZnNNiOnVWWkdlixaVDAvmzgSjpOG49fWRtXfKsrUhu0Qh4YZEsuzedRHMS0ksh6fWVKIeU849TjdEkMnT7gFhBERBF4jjdQEa+4um5rBn16IUlQ5bFce762di018mugQEBzZEnZLSfEwCCtAFgkj1BvxY+L0ShnNySUkFJeITjYqLPlxQsStmj4xr04KLRIid/XHEyi1KO0CwYZUO/MBRTOFkyOMhHjwgsaD+GbC0Bm+kX3LjRNLO2dkzKsF57rkt7jGj4pO4RcieABgwo64xSBTSw9gg9AzKLv3me/YCjg+I9fuyEwDPlqUu63pRnmhTm11h2VoPAQp/RmJL5aes4Yj39Yb04QZP1Yj7nAHQCDHsFxJyI9DUCxMWSX5wZCMdvujK+06D08HiCjITAZK1ZN4BILEPkBLfSsi6BzDqBy06BylEHTHx3wE4oxzyj7whxvFraERUt8pLsyKBwUZQoTAcDUp7Jg+cYyY7MnUitKG8o9mjQcKogOsbGJqymvtsqq8etpf2gE8d/+Zf/KaHx7j5+Wh8QW4ADACqAHdkh8j07O+vOS3tbpwB3teXkFNoOgILsFeVtVZUT1tiw15qbKUeEkOG0qavuwBKZjRk4lDKx9yG3IKU8GAPBjg48DGhAB37FHbfbhwdoJEO8jl5TECSQDuhrrg8B1Np6yHt+ZeyulpwXS680SPcF4B3JYhwX9EkkIdAf2JMIwKPdikAh2XYl26/bR/w/r+V9OCdch+tx3Wiz0E/IEfaTjB+iqj09g9bQ0G55ec2yteNBLyWytcliInuaTCoIJ+YT0gnyx7OqZl9wX2Baz0EkAiJ4Lb4CjejJWq6umrJCrVParhrbtDHfNm7Mld1q0lzJblVPOfEFeMBO4hyHz5Kd1GdBbkUizQ8DSJAowccgoyGZoEyQlKwZ2Vy+boEk4jUc086aUYIzMfGE9N1ROZaj0sWhhxRBDj6b70dGF5/pDdL1OdhHD8LIcY2n/zlYkVP7ruytd40E2cXvDiYADaHcjvdgqwKo+Y5RwsK1PRtQ94vvRMAQ+8o8k1nQ0XHYwRsN04dHRuUwz2gNF9yvwxdiXaOdigRXDMaw9gz+5n+8xkkt7UXvYadrIGcjIyMeQS4ukm+RUeWliJVavwbP4D/mxPHg8BUvy+G+kCvWZe8+yqcCucVaeEa4QBCZdIwA9EI2Hd/Xh4AD4CHMJYNgTMjUclKLdZOPgl/JWrD/8CfK5Rfm5tVrLpqd7Ea+uHd0RiSOscVRtmJAJpJbyXKED/jPAe9kIovBa5IJLUYkkbk+soYs8/msBwQ9RMfQkEByw5BVVU/YO+/8IKHx7j5+Uo/3g9hCrlhjbBb6NAZhCBbQcL27q1u2qcaysvNt67Ys25laYfnSgxVV01Yve9XScti6Ok9qD1/Q/rjmwV8Owpmd/oQDcLJLQjA6Ya8OJKo75AvS29irYwTKjzKO/srqkA4JvydsFthL76OvKjhtDwkEkt0x6cD+wYtOWDfUL1pZ6aBwYLU9vn637die6cQW9guSDlvMd8R2xYzIKF8clJBMbiEPUbaiXxgHspPsJzL4ncFrGVG2buEv2TJ6az0psH3tKr1rQ+k08768vFe2Z066e0y2q1tjzHEIZdOQ8PgCZG9BcIVx1W01No3MLrJQW6T764TVqKRIT2+ylJ013uqlXNeqawhl6h3yK/yU+5FE4EU23zHVntVqGHo3rUhnMe+BdIRgJGPum7pfsud+zfFNcjVMILToqxgyfW4lDsjHWF56Vfd7WTpjQXh8Uf7PYRvSPUyMXreZSdko4cQl2QfsRMja+qLeT6LAavYRWCgcDhZ6HnJAVyyvc5tEwsC1cJomf/upv2Aqx1M/sPPnEkEX3R9kKdfnc+jZzL4Eu07LRo/JXmM/m5oWrLKyU/a8y09HpKwdGxUqYFbbB2GH2D8QXNH/udPgf8hZciCGPYiep+/b9PSE1phy30bbvbtEo9qKivq0d+e1ruwDMsHxX67LP5E/wemI8/Sy05zd6nWNLAVcdadsSOYx2qxVW5UYPMcaQmrpvVwDuYTn2HcgVjPRWP+KZJ2Ma+RsQDqhTj5QiWxrnfYVfezeTWxhn5kf5iBirmi7kA9kCNmJeApslZxIEH/GERMKGDFYE/FXlLmIvbCVEXd9/etfT2i7H/34sRJbf/M3f+NOSwAKy9pkS1K8CxLOSSleTryps/z8Ytu5M9e2by+yjPRmKy4Y8IbktVoEeia1k3VEJlAvEdyrnsI5MS4ATlSVWl93bl7xCCeO4JKU8Wom0qddIdPjBOFHQfM8TDcKgawlmrrNzX/CpmaettGxa9bbd8bL2EqlaDMyKqysrNY6BbqHhgbkRE9J4Jf8O7G5yag5deqknTsfsrauCXzjyLAZULZsCJx8FgyQwOIxUL7JgCGCglvKVK/nfSjrCA5uJ7VuMce6F089Hhvz+ywqrtDGbfIabRzCVikk+r/Q2H1IAga5RTN+z6aafd7LN4gAzC+86PNJM2wU8MDAec3F6RBRIFW4fo+Vlo9aHvW5abW2dXu5pe1usAIJcvysFn1WRzdK+Kw7oJBbY2QueOaWPmMREk3rs5d1YD1Ym8+4YkRZwcSjuCBRbh8oACe1pBACGfmqpzNPTEqp6fMoh8wt7LHd2a1WUNLv0Y7ObsoXAJqUmITTX+bJ9OO0kv3UqAMoV5XKrcwtOfze60vOP32+LkvJUqJIg8UwSOmF/Pq3ToKFaO9qHxwndlwRv2NHPMPs83ZQ981JKJzOOCkHArDQ2XlEShEGvVp7jnLEfsnGqGRkRvNEqUfYZ6wzShWjztpjXBkRJABU2Q8oJQ5m4DQQSGR6oQwPD0mhNVtedoVAb42cm3CSJY0qW9oOSRmQZUdvtLBepDtPkxkBsFoOpR6sEWDnFsEl5ekZXBw6QBbXHQeEFoYopKCHzEjAUigdHfDSqRnt12YrL6/xvTs+PmYLnhW5rHmjgTwR8FNOHFNeERUtcoGMIC9R2d5OcN0OFCJ4SHZoolLlGlGxRkCOvMVsLeYWAEbN/vDIuFXVdVhxmQB587I7J3/xF//vhMa7+/hpffzjP/6jlx0S4UOfAhCmBd5J08Z5aWxsspLictudnmubN2d48828vHbt3VGP1HJyG4SM962T4zqMrZI8cYrbrOQpZG5xMmtwRnEIQzBmleQCmDvRdYfBiX84c8jQEsGIBYEPz9ai/9Epff5eOcd97lxlZhRZVUWt9fb0yqaF3n04LpB2OOTReWFv47hF545IGXaL/R/B+J3s1+2D/yXLTrRZOCjIEE4Sn+dgW/qM4JATGcPh4AxIAjLNIJtqPSAju99xRI6hbIkcViecZJMo1YO8IkONLC6PgOv7h+ziq05o9WO3BCp4P41Si4uHdO1W27GjzNauzbI1azJkv/A7emTbtXZ1C0Y2MtnNIRACuRVaH0QijfVzguuWn/G6k1QxW5y1CWu3un7o/DASRCS+CTZL1wIwtOg7FhQOWVk5JwCGHlvDI4mDPOSsz83xea/6/kB/QrSQGQZRA0kTorqhaT0gIPTeEmjwkcjkShBe8fdAaEV79V0nyWKkN5A5iXIh7Uu+J/fBPFMC2Ny8V6BBdrWhQ75Ev/bVqBOmDjoT+wqnPwT7zvh6Y6uSB89FcjNkRhLwFCBfXPSoMaVH9XWNlpMt3yK10oktiGOCap654H5MAHiUmwKQOXoemdpLLzvNM/NNyWfIpJONSmSWeCaJl4wKONwa4RAHRiD3vubv8cb58klYW9YNApUensh3ScmAZefUCsQ2enYZ8gXJF7NKsNXYY+xzzAyI4ICBnETfL5JTDOxXtFu326q3sFeya9ir+PrbbVYMfOIf0tj46FGqI8KhF0NDo1q7XiuRT/uVr3wvofHuPn5Sj/eD2EKeAKIQWsgggQL0/OTkpPTLsLU0N1tpSaml786yTZvTbUdKieXmkanK6diLshcHrL31qPV4ry1KEq95zydK5zioiwMs0D8e9JYf6DYr4QtCcHl1jI/V5IE48NWd0NL/sWuUX+2V34/NQpaQXWQYcoeADFnPBfldtnVrkT36aIp+pum5Wre7fJ9Y9hz9YL57zLzBxkS7Fckt5CLKV/QNkwdylDx4jtclyxXXifiLa9+4HsA2+gs9x/3gJ4Blu7qGJFut3pqANjo05+/oOKHnT/l3JEDDICsXe9YtH4FkAQIa4KoKKk1yO21nap2l7KzS7+3CWiNWI/+4UXoX2wSp7wkDBF4mIrnF4Sova41CwIzsUmzQERIF8NGPxiSB4KdH4uTdI2QXu/5PYJX9wmYkjVCtU1E5a1VVc9bacsgGdO/jWrdp4e/5mRdCNrO3WSCTmQAPiQKBVEsmZpzgwk6RYYStukwwJiQMUA5OtQvPhVLxH/hr3T6d/radOkmmFuWsq1iCz2NfQu5xMBoVQgSmauunrLSsxZqa26yfbNqxCfczyAaOQT18+ej7oKMjyRUHa5w8eA2vZ9+x//BfwNxU1oyNjzhuKSmtstTUAktLr0pkGVM+HxI9aKtAO5xwqMCz2v8EOV+TPGi96HV9QLiXXmmHIYjDWjF/Ya0iMRmSBZjT2weYdXV+EuvnWCtWM92UfF/ww8Jqa8FbPZZOuW96vtXUNlivMOfk9KRsaGhXgW3m+/Ld8QuxKex//ED8POQDWYnkFnYKfHWnRII7jZhYcDv+ivKGreRzmfevfe1rCW33ox8/VmLrr//6r13pMmmLC0QTFuQozkipjUqhAQqqLDenQE5nlm3Zkme7Umr0d5cc3BGrrJl2soJG8pwwgJKAAYcQCPXLOJ4C4UTEpSzJNKJEcX6eUrtXPeJASRUDwQ+/89zr+t9r/hqyliB3ILXGJ56wwaGL3vSNVMLi4l4tfqk2aoXutU1OV582pjaAlCxEXXRiTp5kI+DIkL4XoghR2bJIyQAhDpwRBovJZonAgP9FZRrBAdfBOUKJs9lQ6ggnQso9ML9ENQYHiaa2WF5+sYxZnRTjuKeRNjUf9O/U1X1WTuFlGxy+bsMSMgiucTnupHFOzTzripJ0WVL9mWci3pwySMNRelxUVc1YYfGgZee22c5d1bZ5a4kr4pyCbiut1GdJQTdKmFsBJFLcnMg4oLXilEQYdcogyRRj3lkD1gSCCaC2GhUimysYzncPiJHPat5RaG/YvAAGTf6npp9xMoYISWX1nGXLEU7NbLS8oh6rb1zwqDj16ewZ+mx5GWui1I7TIcPpL4Exh6hBwa+y5atldZBWMUJO6mdQvDxHdhZpoN+x06cCoRV6qtAoGEPBcfyf131L0ei+OQllcuI5zyAb6Dtv4bSuAcvJqhA4brSenm7tbcqHQkkizjJKFKXMXgM04DRjXBmRzGIv8P8QvZOzs/eAnIE97hR0d3fJqa2xzN3FUr4VHg0q03pBHDe1HLC2jmPW1SPjK1BIPTjpzhgLIiHMMwYEIhhjAhnIeuCw+LxJkWLM7jT430EvGQ1lUyjaPUuQkS86GCUFnXKggsI6AcxKOQIdAqoCS7Mzto9TcA5RG39EgIOa7xBBiI4MijaChOjERIUbHZfkyBw/+Tt5RGcGkBHJZK6JzCWTyBGIIWvz8ws2MDhi5dVtlqt9X12/YK2Sjz//8/+Y0Hh3Hz+tD4gtHNX5uXl3hgDagFb0ant7u2SIDJICyVCGrV+/S853gWVlNlsR5R0C35TPoyfdCXVyC1sVTtuLpXQxy2RBDj7NrxkuX3IOI8kViS6ygsLPt/05SBQIFcqvIMhuAQQBbgjy2tpZK9CeRMbTUnNdpjo7uvX/Ef8ufLeYVYK+wFHDuYsAgf3OwNZE+4U83Glgo+70fJQdBtcJ2TqrJ0yix7gHwPb4xLhnvLS0yIkvrbfd6dUCYgNWUzNj9Q20IpDdkvMPcezl9JpPiCvmlGxiiCzILv52QqsfQgvQcFK6RKCB8paqKc1JrxNZm7cAmtLtwQd3OsmVk9NuJSVkbYXP88i49/cK2eEEQ9BTzHFcOxxFsne8RNFJLq2fbBkkF3bs9rVLXjeCbxyTPjX1lL73Gc8UKyjss7LyMSclyfbju7BXwj6RndL+8Ii4wCFAEbLGo/FO0kDM0E8lRHIpW7iQKKsDHMQB4eVgwQmtYLMgtGKWVgA1vyKd/SWtD+QpfbXkH+nzKb8DSAGqGhoXtae6rK6uVWCtV/t6xKZnpn1fJdspAgDsL+wSewwbxc9op/g/r+OkUd63JN9wdi5kRXZ1dll5WZX2QqHt2lVm2dmtViZfkFOmIvnIXmB9vNx3Ms4Vp4VprrQO2BoAnpcmOsAL5Yl8x9UB4UXZDiVUYRw/QVY4ZVMcnhNO2SRQCngjQ5B+kI2Ny5L3XsvMqNJerZPc9Wh+RnQP0/49mAMIpShb2KzoD0Y/kBF9QPw+7E8kqxjJ4Bv7FEf8/+3Am+shq3wG8nZL1mSvCMKSsd3dPWAVFR1WqHv/8pe/m9B4dx8/qcf7QWyxxvj+MQhDyR7+Hvuxp6fH6mpqrSBfcpSWbo9vSLEt2/IsK7tFOm9YenHWGuqXrJnekG1HrK/7jNFc2gPAYzeNZtch8B2D3rG6g8oOfHYSB9BvBKdDgDoGqZMHr1mWj78ovEWvH3AagZ7R0WvS5+dd3yJTBBgyMhpt/YYce/ChLbZ5807hjWrp817pwwn/jhB42C6+Nz4ZOCiC72ivkDFkIsoWcpJMciWPKFPRd2QgixGLRRwWZQtZRrbQY9wHuivgrmHZqm7LL6z3noA056cNSnPLIa/8wX5BujDAU3xnCHLsDe1iaO9CX6aMrGbbkVJh23eUh3UqHbQqYeBgmw551laPbBNtZQiA0DLHD1chaIZdkv4jqYOqkEPy01fIBjoEwZjw0504Wc2sC4SXdN6tzLqkxAFdZ0aYkJYAxaUTVl4xpb1yQPvklI3K9k4KS81NPS88Q6CO4HeowoHUJGMI7EPm1iqWiuV12KmQxUWD+ZAcEOwUJXecIO/JARBap37VTp34pp0QljrGPUsvk0EL6YZenlt40THryNgT1jdw0TgsrapmRBi13hqamt1GDcv3oRVDzFiPvg9riF0CS7Gm7CX0dfLgOf4XsTbYKmbzQ7ROTU04J0DAMz+/VGuXI1krt/wC4a1EVmQsRySpZNiJY/zA5+Rfat4WPumZW/uWP2UH9yXWS9/RsyB9jVibQHSBJ7HTdxqePOHrx2mj2G+q0EK2NX2ykenenrPW0nxQcj8pH7bNtm3Ps5Rd2VZX3xiILcjjPYuOcfiuMTCDPWHv49clyxWygvxEnJVMcMWfdxoxWJOMv7gW18QmOoGcJGvvvPNOQtv96MePldj6y7/8Sy1iULo0AaSvFlHa3t4+n9SSkjIJcZ5t3ZZuGzZk2LYtZVJwzTLA/VZWMeaNQ+ulgFkUyJnu7tPuwNLrAId+DNAg53MKgkvKmCwuyIuZmRck8C/KYXpJg4ws/fTBcy+6wp7i5CQJBhkqkFojo1c8QwlwUlk5Laezy3buKrbMrAI5VrUyFl36vBEp5xD9xonxKOVxUhxP2LnzZ+ziJTbDKgDHwWdTsGCMSFhFJ4fNEgd/x9dFgMA1IkCI6ZBR0CJIQGhxCt2Y1TVYRma+BKzaikqHraJqzgWsuWVFIOGE19T3Ssj6B654aSIZXCiGUYYcRW9mqPklyuCkVsdhCacUcMOSlZdP+GlSHHO/Q8p306ZCS9lZbVk5bfosKWEp6Dop6iYBkkCWnPboqpe5SRFz8p4TJlobotGkO9N7C4VMM/EQGQoA4d2DEo633KBiWCmT48RFSC1IGNKZiZBUaM2yctttZ3q95eR3Wo2AHtGgAIou2egI2RNEwz/hxKafDvmuBpkJcktKJKSDvpspRzlHBR1+j4w52Vmw5t/QSGRp6VooKY9+o2ggVSFRpdTGR2/akOa/qzP0fyku6rKM3SUCWHUCN53a2zSkHXWHNIIGlDJKh/0GgYVxZ0Qyi73A/9mT7Ik9i0uSgVnJiIxuS7OAY7mlp+fbzpRSz14oxrmplmw1am+QZeep0+e1LwQatSfot8UppESEokOzh2bNWo+YCenlvlKkzN9q9G51oGQxkjg2rG0o9/2Ervu09t4lB64ccpCXVyMjXi75bpN8DducQMLyEkp2v4Dcip04ddzOnkO2VnuM4WwgJ8hNJIdxYJIj4SjNCBKiEo0jOjQRIKBUk50YPiOSyBhB5ph5RYf19g1aWWWz77VKb2x8wP7sz/5DQuPdffy0Pv7hH/5B+gFwMC2bEAACGZSdnd0CAQ1WXFwsoJ1jKSmp9tjarbZhfYalplZ7VomXtVXNyFYtuv2AkImldE6SEGV1kiSUJoaMHDmjlIPfIklek4yEgbMIGeKECM9JR84vSF/KhnFKIGCea0GaAbjJ/qmqGLe83DbbtatE95it+y3T863Wn1QuBfiOWVvoDxyYZACePLA70X4lj2i7+MnfyEwymcV7sX9cE+eIz0CGaP5L6QY6DUAwMgKRwdxy+l2VpadVes+yqsrJRBbVXumIQz6XgALmE+IqRL/Pu22JZBY6HmKILC0cXHoycQ1IEexVys5K+Rd59tBDO+2+e7faxo15wc8o7PdoeW3tnOti3st1Ygmk+xiyjZBNnr2ltfNTGj2AtkpyuY7UGrFWwY4RtCGgFk5q5DX0zYIgwWfp0H1C4MWsMUhRgjCQd5SoA/68fFXXZQ9A1lDOQ9bWaj82Ttak3O7dBFcYIRCzOnguZhOHhva3HOPjsfzws9LXobyDfcY+JeOQk7BYA6K9xcXtsrMN+rvDZQPQOaN9xZriE7G3sEMAiEhwRVCAjWLwGjIjCXbyPvwXiFdAbH1dvcB4ke3cmW3btxVYdlaLn+Jb4+Qj/WYOOXHJPEFusjYhI3I1c8sPatD3AAAlE1x8x1AumlQ2SsloYkCAUTLKPENKch3mHzIS/7Cr65hnZpJZkplRIbtdI+DarfkJh76Essx9uk6QLRxzfLZos5APbBayE0cEC+8FvpMH/49BGOxVvAYyGH1EZBlSjfl333BuTnpn3Do7euW/NeveO+3LX/52QuPdffykHu8HsYWcodPRpQBT1hmb1dfXZ60tLdJrFZYje7UjJcXWrpO92pRpael1nrGPXnSZqlsM5BYnuHWd8mCrJw7QliJR2QE4pk8PrV/mySL1oIz0HKWK8mshQQg2h0qZMMJzIYGA5AF8bhqnQ5SPjV13At9LxYXrqqqm/Z5SUsptzWO77N771glb7NB+rZCsdzm2CVk3Qb+gV9jjkFvYl2i7kIHoFybLVgTj7zWQJwavS04s4Dpcj+tGoI1cB9lalj6f9azV7h7prfpWy8yutIysJvmEU1ZTt8c4lb2p5aC1tK1Ya/uhMDoOyaYdsMbmZatrWLBq6dSSsmHLyevwHmibtxbblq1FTvJR0lZROaFrzRk9PClx7BBmIMiA7Rsc5pCu69JNMWj2gq/P4sKrnh0HYbJf/vd+TrjcL19d/voh+epk2HEAyq1MO/nq+PEhs+5trekb0skvu24lS5aDuErLxmWnl62r47gNCT9OeM/ikH0UAwpenp8gtyKWgpCJmUcBR61iKUrowgjJA6EkklMPQxsT8NSxY/QVDZlaZEETbPAEAdlTWqaQuUYmLXPS1LJkZRV9lptfqTlrlN/WJTsxqO8xrrmZ8f2THHwBO2Gb8E3YTwywdRz8zf94He/ZfwBstSz7uKj9SG+tYdmEduEoYWAv982wFPletAGqqJiQ/0GgE//lhPyTs7oXDhTgtEyqzeIppK95Fc9esChrpTU6kFijQ571SLUS7QwY9FcNg/kNgwQCCD+tIWQyrW6YH60J2I3ebpzU3dV+zJrA8Npr6V7um27btmdYreapt7/Pg4zYYuSL78v3B/tE2Yq2C9lARpCbGJABT0FwJScTJP9MHrwGLJZsz7hWxF98TrId4yTFf+njx0ps/cVf/IUU5KQ214Q2wpgzqKSXtrVp8atoZlhiuzOzJcxSvmt3yPnMtV2ptZab1+XRVHpu1AiAI1SR3MLxRClyChQZVpz4RwSACB6ptLCiNEIk6gA4n0Kh+hAYkLPGc/xvfELAQGAD5QCpNTh4Xg70UasTOCktG7PsnFbbviPfUtOypWTL5Yy2yZka1KaUE6NNgOPgQnJUjsyJYxLMUJJ48WJQtjEKHgkulGTySAYL8TleF8ms2wECipXFRijZgBAeOIU4lyHyzWmIVbpnGTP6vxRDDk56fXRD434pqcOuGLu6TkvQSIu9oLWA5LrkjQ5DltZZo5SGEhCcb06UapISxvEn0pOb2ymnrlFOZ6mAXY5t315mu/W3G8uKUe+1Vd+4HCIMnQGM9FGW6FEGHFGirCHLjnI3soIoJ4Tw8MjQYgAJCGbyANS5gZSwotDohTY6fsMGRy75/ULelZaOyrC0SLnQV6BNBpMowz4pOE4rO6+9d9VLV7w/G5GGJYiaRPNFOb/x9JfVPlKk74ZBRDeUMnwjMVDWpIsKHOj/IfIR+wrgIMOek6kUUmZpljk786xk4Yb20CXr1by0yuiRUZCf22xpqfn6vVZz3q75ItIwHECDFDIKBxAQo+Ks/btAwr59vhc9+i3lHVPScXQC2VknAFekzxAo31Fou9MbrKCgT3uajD4AJI1EkavTWv/zCQUcTnRxEK71mdP9szaUfy4C3PxUzZhh8naI3nnkLkbveC4qWYEDvr+uMzWNzF2znr6T2ieL2lN9lp1dZUXFpdq/TXJ46KlA6vm8rrFshw4fsmMnpGgpR7wQTt1CJqITgzKMyhbHJJJckeCKYCEq0RjBiw4N74mODNdD9qLMoVxR8FHeWAcv9+3qtuKSWuktSignnXj/sz/99wmNd/fx0/qA2Bobn9DeJ0tr2O1Ud3e3Z+vivBQUFFh6+m7btm27PfroRnvssZ3Sg8VyQulbx6l+I1aVyP7hlEQis8mldIEkoam87FPCGUW+PBPIia6QcRwHmSIMnuc1vJZ+CbyPYAz2juuSnVRXM2slRf0CMo22M6XINm9Ot8zMPMl+ve6hS3ZyyMk6dAOkQiQfIrmFfYmyhd1JHsjaPzeSXxsDMFwPx4hr8xnoKo5sj6UyADCIjObmFslQjaWmFtrOnWX6DnLmsflkbZEBLIeezCsCFGE+jyeNE/4TOwPxghNOVg8ECKRWRfmYZ2ulp9drzUoE7jLt/ge22j0f2WBr1uy2NAGJPAGKomIOr5jwzC2yB0K/LZxRAYgEMYntgESM5CRrENeP8v1ZoubSb052zQMuAlnJ33H9fN207oNas9bWg1Yp0JJLP0jtHQhRSBv2CmWQ9AvjPZw85cBh75uyU29rzT6fIGggtwKxFQgq7FEguAAOtw+eh9DCbnnZgt7rZE6iB9gtUkufxf06AafvOugAlN4ly7rfMd1vvXR2tfsa3T1kAybsVBK5hS1CX1KeyD5j8HcMukQbRdYe9o2I+rD2Axm7nhWZmy+/Il17OCucPEqrA81VLBmFvAzBKny/0HOG+2UNIhno5b6yUwRVYhYdzYYhrTi44V1Dtp/hwAD7JbtGRgDgieuxDiOjV+WzHnJ7nZPdqv1apr1VqXVs130M+hyQYb1vH8fLr5a8YEOS5Qp5wd/D3jCSCa5ox6INSx7JoJsRCa0YhLndXuEThKyCKemxAc1Zp/ZZneXIp/3SF381ofHuPn5Sj/eD2EKW2Hf4eZA/NFrvF0gFp9TWVltxUZHkZ7dt2bLVHnl0kz22NtW2p5AN1GqF6FnpR89WFQB3bNWWKP0mKygGo2Wv3FaRwUXigJNcgPJPaEjXzclXpx+XxmIciQAM/h6n1XklyJTwmK4DqT8kLECJm9stYZOioiHv2btpU649+NBm+8jHHrLH122UnimR794uHcPJvhDHsl37yDimRUU8uOufHqoUsRZAPMpYlK3kEWUpyhOD9yBX0Rfkmsgv2AuSIxLGCwvCXZPjsg2SrXb6ADZYWnqJ7ZRNKREOquBQEOn0uqa91tC8zxpblq1Bo755yeqb9lhN/ZxeM2mlFSOWV9gtX1KYSmuzQXOwUSNd1yHzx30K6RwISHSfk1skDXSfDOvkuCqUzXOghtsj+RIEzCh3W1okK+gN20uW3a32PKsZdj7w3SkV1f957cL8q05CQj6SeVZYPKS1GPW1Yo9wiuUYwRfZQfaCH8i15zXNS6jqAPd4KSpZYmAi8JHbKkiuMBxLUWaHTUqU23k/XhIDNI4e/1qiCfpX7KBjqVB+iD4HC87o/rCR4BQqcto6D1ttw4wVlrQJA5ZozuqkrzuEs/q0f0Y0N5Pue4Cjon3CJ2E9Cbow0Ju3D/7Pa3mPV50Jl9AmhrXvF05ramrQGpXJx8i2TZvTbJvwVXZOiwer6LMVDhU6qn1MUI4M/tBKyXvZzWidnIiUzJA4IKxEsgVtepzk2v9ZfXYieYBkAUhIDapgYvKA/w8yjDX09SPDGBv+ou8FeJF+2e8OSl6rp60wt8u2bS60Rx/ZLr2QKj3R4EQ4OiRmtTEX7PXkwAxyFWUKOUF+sEsRZ0WCi5GcTJA8kpMKIhbD1nEtrsn1o7xBWkOwcYriv/TxYyW2/uzP/lwba9SBAg4AYKFLjnZ9Q6OVlFVYbn6hFEKGbdyyzR5Zs9HWSvlu21bqzV0LCnslUEMeUY3kFnXhOLn03aL3U0+COMHJcQeUaMPwNd/wsKOcRgB55UPCTyRiGOWq/w/pdThuKIf+AQid40ZvD/pFFRYN6B4abcvWXNu2PU1OQaEc7EZtkh4blxHBIQuKloa8RBEEEgDgp2ieesadDDYFi8TGuB0wRFAQB/9n8FqcFN7H+7kOGwwljrOEoPGZCBlRDIB2LJWhJp3Gxus3pHs6a35hj5WUSslWzVqtwHejAAIN7RC09nYBg86TngHHCZA9GvxOSR9NWiHBiCzQp4qeJ5WVk55Fl53VJqVbJ6ezUMBut23YmGs7d1U5CVhY3G/lleNWXTfn5FZLS1gnwAcZYETXif6OQEKOP+GptGQGAdIgqjglhZLIQHi9e3Ban2fX6XU0neTo24Hhi974nL5enC6VX9BvqWkNWq9KS9/dZOVlY046xNPKIO/ISqOJn0fdUShyYCmDhNwiuyoy5bDgTnIlBoRVaGq/OnjuqAODLzkpBpnF6SQ4zxgMSDNILbIFMe5EfYd0z319p6yj/ZD287yVlQ5ZRnqVAHKmO/WtrS0epSIaDvhD4eCcstaR4IrgIZnI4n8oJl4XwQKOTlsbBF+VAEmegONurVu27dqp9coSoCsaNHrZcaIl5FarK+CT2gtBngBzsdyXuec74KiEnmwQXZRSheySWOYLWRjKfonWUer7kkAPzo1Ana4zOn5dTtMFa+8USKid1j30CICXW570QGNjvRuLiQl6AtGzZI/tP7TfDh+Toj11ws4k5CoCBRyPqGyTnRgUZSS54uDvO4ED3oMjgzOEHEZgHjMjUa4AM+adeUXWIDry8sult+o9klVbs2B/+qf/Z0Lj3X38tD7+/u//3u0T/YN6enrlQHa6/NTXa51LSy07O8t27Nhh69dvsvvuW2sPyQnfuDFb+6DG+2MUFw9YZYX0H2BBTi2lBiHjKKlXFI4oJXSABogS2aRIlgTCJJAmyeRJ+J90pHQlr+V9OLPIKIEDPgcbCUmTsbtWuiRX97hN95oqB6tC99Dqzgvghz3MXsaG4LDFiGXM3IrylWy37jT4X3wdA5mBzOL9yYQWziGf4/Zqhp4UwV5BGHJfVVWau5xiOVmZut9S6QNs/qATGRwgU1e/4NnCZGCR4clhMpRxUJLGT0go5pheJfUNy9Jl8z7/gAF8h8ysVs8E2LQ5X/Yq1e69d6Pd8+E1WrsdtnVLoeYLkr/H6JMWMsVwRmW7EmWQBEVYt5AlniC4Etl3cbAuq+sX1owB2cJ6sna+bvI5CPD09J62Rn0nmgVzUmNOToffM+vIeq6W2YVDciDKPGvL7dTbslOflq1ZJbi8WXMMxDjJ9V4jntAYTtbkIAKi4JA5gJKlpdfcIeZz8ZXwjfCvWts0t1qHIvkT6btLNV9lWpNGzX/brX1FHzoyR+Zkg+ZlixZkk7BLDNY+2ii3UwIY9K4DlJNJCDnWq+s00RNIICEzM0f7Ic3WP55mqbsqPZjGoQjVlHfUxxLV1X5orEnohwYZCLAjcCXgrXmDnCKLLpT6QnIRjLl9ACRC7zovLV0EnAdCmTWk0X9fn9asaVn7hAzAJtnSIumDUmtobHVdQebGzMyU3r+o+QyNiiM4SLZZyf4fNifarWSS658b0V5F0M3AX0y2V8gb84ys40PQB6yurll7vVJz22Bf+MK//Aj1u4//Zx7vB7GFXJH1CnAfHBySnuqVvuoQRqq3svJSy83LsV2pu2zDhs320IOPS+eRtZVjabs5dY++QPL/ysccWzVKd5K5FUj949YtHdU7kKi2cJ133X3nMcoUxyG6nnJig6wdSAaIkNWRIPEnn3RyPFSDyGYNkzxwQfrvlOtVgj8V5ZPeembnzgp7XPJ+3/3r7IMf+pju9RHZs1zdT4uwWQDeIWuLPkCrWVtgLQKely8H+WIgW8hHcjIBMhNJq+gvPvVUSCqIz/O6mFiAXGHjYkLBanAmJBMQnMG/pkF/Q0OLdGO1MFeBH6jFwVUl5RNWJhxZVSt7VLdglFJjz6o1qmpmrLxqworLhixPOjUju8V2plbblm3FtnZ9pq19PMNSdpY7QQIBCUmCPQtZxUuOUbGDnV2cvkgFE61WCEaDqxJlpFPPSf5f0JyRZfeyE4+eaYd+ky2JfnoYb3hFCdlDkFSciI8u7es7K/u7ZHkFA8K/g7JRs657sQnD+jyCdFRJkcm3R/qS0349kAC5BSEjLEXVyopjKLDS6nAMlSgH96QA/c3J67wWQuyQV7t8wU9lT8ZSlMSSpELyCs34ScYgsEVJZ0XViPc+3OVtGKq0v1q0z7rcp0MPcrgaWXaQkuAm1hI/iIBLHPydPCKhFbDVjOzWlOOToeEBXZuAZ6Xl5xdo/6bbuvU7bCPBmIxwWnZFhfyJGjIi8VsIyrFWwf9DjrxHOEQxQU3wlL4bmCkkDkByvZkguiAko516+7ah5/Q6CMk9tF+iOm1GdovEHWG3oaGL1tV5zJqE8crxh9IbbMO6THvwgY3yXVM8mYLkB+QL4o85gWPAL0zOiIxyFfEWtihiLAguSCrIqh81bk8sAI8l2zRkDnsZSORD9vnPfy6h7X7048dKbP3pn/6ZBGRAk9dnXV09AvSdHqWtqq6R0JZ6GWLKrlTbsHmzPfjIWnv44S22YWOOBF3gO7fNCiBnEuQWgkXTwwYpYRr1EvVMJrjINiIzh81O6RmnUQwOUXLHuCwlfdn65TT2ChBwwgRHsgLi6YeCkoDIqa2f9wbpuXndRoP0TdqomzalyAHNkgGotK6OdhuWEcEpQ9EGkEDTUE4GYkOE5oY49tGpYXPg+LNB7jTuBAx4L9fgWihVWFQANhsPpwXiAocSoaV5XUMDpTKlAgfptmbNDtueUublePTEKi2bME7Bq9XmbmjY6yRGc/OK5g+AcFRO4jGPhhNBgdAi2wqmvr5xjwMFSgzpAwLRmJHZLGez2ks5Hnl0l61dl2HbtpdYekaD15ejrMurJqXM5z2LijItj7brMzzKoDXCGWU9YK8d5I0SGboupUwvLoEFANwE5aGAOUABBvLJBDF5zVNwaQjfI2ezXfdd37TXyiom/PN3ptZozUq8RLJQCrm6ak575aC+H5GoePgAQFIGGaUvZULpBU6t9/iSEr11oqbAQxgoaJqmMyC9AigIabyf82gC76GnQOglFUrvUFKeDurR7xtOavVCanWsWJPmtqpyXEpR97yj2LZuTpfTXKl7bdSebnNlAwBEIUNeYkgBDuw5lGwECbG3Av9jT/A6Xs/7uEZjY6OD8qysLNu+fZcAb7pnL6TvbtR8dUu2RmQQprU3lnxftGhPdHSQaUe2Qjhu30G4jFhcGwdw0zg0L+izX/R05FsjkW1CuS9GlQgfRhIiM6zdJa3bKU/FLvcMgDZLT9f9ZeZKvqsly53a1yN635TWZcH27t+7mrV1mqaPq+QWSjA6Mbc7MBEoJEfjeC46McmODNdAcXNNZBCFHjMjkTmMIPPOvALIa2vrLS2jQAa0TvM3Jqdjzv7kT/42ofHuPn5aH//jf/wPX19O54TQahbQhtSqqKxwJ3vXzp22efMmW/PY4/axjz1o9378Uc/a2rEd+WqWLCNP0n/SRTixZG45KeOR1kBwoWdxRokyogeRLw/GONG12hjdCRPpPIgvHEj+z2shRngfTqeX3rUf9kyW8rIRz8ZIS6vSPebIBmyRjt6m+y7Ud2jQa7tcn6AfYuQSxw1nPZncwu5gf5AxBnYp2qc4op2KI9orBuA6Elr0+MExhNRAR2GvOOWKjMeW1jbpnAY5gKW65yxbty70vQoZTH3SWSNGOwAnt/T9PAuumZJ6gjP7fU7pS8WBJfgDBDB4LQCgonxE6zDgRF/67lrpu2KBpgx7+JHt9tGPPm4f/ODD9pF71tnjAhGp+BnZrVZM6wNK91k72h80UFIayLRAolCeGGwXx7S7XgTwCbBBQnnEXOuFvfJ1Q1dqEDENgC70AOMUXOxhrT6jsKBX371OtlM6mnJE7RX2BxHxmN0HQAwH5CRFxeXMUmLnh63IPjlBlbBLZGD5CZq3RgjMHE4OvshmEcjhOqH/F1HeV7Qv6P/1jH8n7pdgFOQhtoreHNnZTcZpoNk5BdLVNW6r8D1YU7dTco4huFhr9hgk162hv9Gh2Chegy4lS4s9CSBv88BcjRUUFNru3RnyuXZKtlJsm5flhJN8AeGUArLekICsC74b80rmlq8F6+A2ajV7gayrSHKFQUbX6qBE3oMwnlWM3SKz+Fm3c8gkZHSQszkrKR3S/dUb/WBTd+Vpv9XJXnbInxn0KD7AicxE7EYkt5L7ASWTW4xkEH77iPYs2ilex+vje/EdkUeunZzJTw9Y1oA5Zm0IxJSV1tiuXcxl/V1i61/B4/0gtmjxQjYebV2wWwS3yXqvqaWBdb7Werd8vm3Sretkqx6UzVoj2yU9u7Pc+zndwlau82SvyJB1WwUQD8GYW+1EBMgJpLi9cr0XK2TQe9iqYK/i78giMpms+8gwQo9CylBJgZ6FAKDsbuvWfN3bDvuobOovf/Cj9rGP3yu/MM2DnfSdhfzGds3Pz7lNiXYLe4PdwSYhX8gEfuG1awGIx4HsJI9keUqWKeST90e5igkFyX4gJIAHZ2THmpso+ayxzIwS27BBPvYOfIUeze2gFcm3LpHOKiunR5UGP4VjS/VcYcmg5cr3h9TaJRuwZVuprduQbY88lmoPCVdt2VLomcY52MMi2cMSbFMik7lhwf1n8KrbJoJmPWc8E5gyUnQWa0EAn4NIIDkgULyFgXQb7XiojkHf+ZBu9NYwM5/wQAqk5ejoVa3/cavWvsjJ7ZZv0e33DrnfiY2S/8La4qtAbpLB5wGYPa+HPof7Yj/e1WwjbM8/HYkAi37ndQzew3v37/u0Z5FBui0svOp4jWorklU4mIfTPDuF67z/czWJFxxqVqw1SBcWLpG+rpfua3XZILMOXDExMe7YIuKoGHiJIwZjPACj/wdCK5T7eiBmbMRJrZ7eLn1ug+xBsXy/bPkYO7V/N9tjj6dayq7Qx5gKp8oKYataYavGA/Ipj+leCJJd9Psf5xA8+QsBT9F/muqlRNIAJJVsEqW8JA+QKBASBxLlvz5etyUSC2TPICTJAJsWrp0cf9qzwlgfL/cVlq/S3ivI7bJU7c+1j+60+z6+1h5ft1l+Y4XsV6fLFzaDOcCGYLvY+8gAsoBcIR/IDPYoYizwVUwkuD2ZII7k55OTC8BkXIfrIYN8Bv4knwvfQdnnZz7z6YS2+9GPHyux9Sd/8ifafCjdTjewNFojs6ikpFyLX2ipuzNt6/YUW7thvd334MN27/1r7bF1qbZZDk1qep2fDlFY2KuNOmRlZWNydqc8wuBp6bDX2tRtECco4s7jEvKTDsohrHp7E704NDiZgONXyU6COe3oPCmlADA4pvtasSY5y7X1C95UO78oEDg7Usrl/Kbb2rVEv3fpHoq0SZqsX4YER24VJFCWuCSB3C8hDSfY4dyzQDg1KF4WDOUbx52AAcCC90Qyi+skp0IicAgZAuZRThxCATBILUolMzOzbO1jm+yRh7dIuEssUw57rsAW2Wew/sxddc28kxiQThgxHESi3RgzFGUzabON+n/9ogOFiuopz8IqkdMPcZQupy4lpULzkmUPPrxDYCHF1m/KtR27KvV5AncYSwELyBLK3GD8AR8he4FoOyVvISuIsjdISE5cwvgFo0lT4ETG3TADQMdpV1dkWGO5JP2/Qj8V1o3yxyIZCojQFN3H4xvybONmFE6HBJfj3EM6aFQqXNMbyUvhx34pKBGiF7DjRBxw/JObYIaG9qvDgYFeBzjgPd4DTAp9z9JrupaUzDxp2M/a+OSTNiwj0T9EpIo9p73WtOQlDZRY4Ghu3phlWzalSibKtK/r9P8md5YhpnBMiQyx3zCokeCKZBZ/8zxOLMCRfXELLGhv1NTUSH4CWNjq5b4ptmEjZLKMsfYHJ1piaKuqyY5grUJWH3JB9l4gInFo4vrg1MTIXUIpCwzdafC/AO4S0bqhi55d2d552FOx6cuWpT2TmipZT83UHi13QzTkIIHSDiIIyNUBAbQjAgmrMoXcoHCDE/NPQQLKMgKDO4GD6MwkE1rI4e2ZJsmkFr2KIOXRXdt2ZNnOXZTJ4HBM2R//8d8kNN7dx0/rA2KL/dfc0iKd0Sg7UyvHBPkJWSTbtqUIJGyyhx58zD5yz/324Q/dZ/ffv8E2bspxgiQrq8VLsouli0Jp26w7hqSkB2JmleACNADK0WWhn9MqYfKuoeeSgQEBnG7pPm+OTpaSwAjZTZBqRAq374DESbf7ZEcffPBxl6uKimrXBegEIvyTk1MJu7VKbrHfceCj3UIOou16r8FrGNFeHZO9imQw1022V0606/MBX/gAVVW1mlf6/mV75PDhh2VjU8qcIMwjICObBdlDpjCBFUAQ2VTY/Tg8Cs78ap4DoTVqnGRcVNQtcNEuG15nKZoPiL5H12y3e+973D784Yftlz9wr/3SL92rOdpkm7cUWFpareXKzyjI7/EsKjJ96ftCpjJ9t7CJEBsAiFCeGI5xX80SD3aLXh/oRwYAg+AN68brcTBZ87a2FV2TXhej/pkpKZW2K7VG37nHPw87GTKRsFNyfgUcyfqiHA7gELKPOI0xElxEx2WTNEKZHT0PY+/D8DtBl/gahtss+n/pWqulh89qnQQYEpmAkFqQbPQ5I1OqWOuxa2eF5jLdsrNztafKtQa1ATjIThFgczslGwTBRdkrfbPiiGQW/4fQGsBG9QmQ672QWvXyYcjWoofdrl2p2sOb5Vts1s/dnmGck91mJboHMiI5JAESkP0PAA890RJZxgmSGFIQ2xMIrkQJ1WwoF333oPxXgE6gAl8AuxWCaSHLBPlDRtkDyBmHM6SnV2seCBTtdlvQRKNisrYEnGZmVttUJJNbyAn2JRl8305yvdfgdRFw814G18EGcl2uDxCgGT8yh1/APLMm+BH1dQ2Wm1Mi+59ru+VTf/5z30hovLuPn9Tj/SC2JifHtfc7pJtaJYctTjTX1dd4tlZOTrbkaJf02yZbs+ZRu+eej9gHP/hx4asNtmFTnrd7yc4hcSAGEYKeJaOojoBMI9jgkLVKvrylSLcwlScOxIAMmVzRXw8ZyJHIcl8vyWaRhYruo4cg5bzgi9qaGSstGfKgAtlJGzbstgce3GAfll39xV/6kO71w7K32zzYic1gL5MVSdaMH9Kwb78dXjlsJxL2CnuEfEW/MMrYjxpRlhi8L/qBycFNJ4v1mchVDM4QKCLwBZYtLCj1ios1azhQptSyMtqkr7qEb3vkD/Rpjge83B0SkYHPTU8tAhopu6qFf8ts/cYCe3Rtpj30SLo9+FC6rV9faDtT6iwjXRguWxguv98xMOSS20N0oPAqJ9XS0qRT/gBBk1g6D8aJgTJOub8VdJE+pOG8D+l8J/ClG709z8QzsjfBXx8YPK89dcgrOrKy2oUfyB7rl42a8wxesMyQMA0EJ60VZnQd9CknKbqNWoo2KmCpaIMo9452yHFV0u8RT4UTNCmrIwtJeGruZQ+ic6o9FVcDg5ett+ec8P5JL6HFNygu6ZePVqf5z3SSiQAJFTCeWdxGVm233tcv2zOkORnVtSak6wPBxYiBFwbYKhlfBUIrJAvQKqW3Dz6jVb5dpdY3z8t9N27eag8/+rjWb4tt3prv/EF+Qa9kS75E5ZyTW1SbOQ7tovfqedkWgmNxnVgfsNSzbqumIRln6AVOoCUmDLzkPdQYlDAy5vg/hCVrKDxG/2ayK7k2wVP8Fnyk4gLNz+4m2y5/59GHttrHPvKQrXl0nROA4WC8Af+eEHn4bvAO2BXkCplIJrfATmApcBXEVHIiwe3j3dUxYTz11NP25E1O8F1t/YL8IXdR5sie415oNv8vffxYia0/+sM/sqZGAYX6JimzBjkmtZrMCjl1xbY7M1+CnamNsMvWPr7J7nvgUWfsH3pkq61bL7C/rdTLfbJz2r3JaqEURHHxcCC46B11i+BKpNGiiGMWkoA5x61CYCEAZKHwHBurpfWIFMKKgAZK9oADegBIuZymAglvZhan/tXIedEmeDTFHnhgva1bu0ECTtZWlXW2dwRFKyUX0htn5FDMy1nkVByAwsFbQIGFuh0o8DOCAgb/ZxNFMitmZ7G4MUMLgUPIEC4+m0hpUKzVEp5SJ7W2bNlm9937iD3y0GY5XZpfKU56TVEm46y/DBiAixMbaMpfI2BAqQe9jhoayS5Y1HxKCGV0qqoFFKomrEQOeJGUcX5hr+alRQZRingrZYhpdv8DWwQWNtuj+h0icldajWXltFpBcZ8V81lSimSKubEUAKNUhEwwCC6yxGDbceKdiCT1uQ/iKRhOnFR+BiIrZtaFUsl2rS9KF6ebxoolAjQ5eZ2WtrteRqLY1qxL18jQvdZrzwxpzTAAZI0lmvj1Y5QpA7ppU1ImRDNwbkOqLo1/aWAfShPuNEgRJX3Xy+8WSY+NJ2y+ZDNS7vSRGp+kdxvlknKM+89aZ/dxNwj1TQua20mPVDGf27YX2drHdtrWLbtkIIsFziqkBGt9bQGjrDOANJngQslGMiso2yEns3gNpSEQYjgDkfDMycmxtNQ027Rpmz0isLB2bbpt3Vbi84WBLSwZ8Iy3KslAbZ3WqTFk2tH0kkw7AHg8shhnhQi2NxhFKd9KUQ+HD8SBAYpZJqyjg3JS0LuOOcAnFTu3sMfB+I4dedqvad40GEMUZCtkbbH3Q4Tu3TKF3KAIb3diksHC7QTW7eCA9+IIRZCODCJ/AP1kYO6klu4plvtmZ+fbho1pAuJ1AqQC4KWj9sd//NcJjXf38dP6+O///b87CMROVVTUW0lxveXnab2zKi09tVDOa7ZtlAO+bu0ue+ThrdK16+y++zbYmsfStX9LBHjZG5SpdsuRDfsCm0JKOseZ4xRCcIWAwkHPjm2Xsw+BEPQgckafuzO3BkQKzbKJnkKI0YeJrCWylSB6iLbTo4mStp0p5V4auWbNTvvIR9ZoPGzr1m2VrS20utp67d8O6+slLX/cpianpfNCxBL5wnlf0b4/LIfmeILgQh4YyNvtI9leIZdHZLMOyF7tlb3CIeHgCnQUugn9RZ8vSs1qazkBtdxlPWN3IAsfeniDPfhAsFnMYVZOs0ezcaSLZXtKy2RLyglqyXb5GPdBBJsmyDQX5wTjoqJO+Qkt+r71soe1un61paQUyC5m2GNrN9v99z8mgPeAfeCX7rGf//lftg9+6AHpQsnxjhIH/FmZTXovJdqJfmmVU24LARDMd5vWrKMzlNazVk5K3tKL2KrQzJ6jtQkIeEN7rR3ri4NJEA6irLJqUmtGCXaj9HCRRrE+u8X3yq0G6bo+pEogaSizC/1MQg+pcBKjH7+fILj+6UiABErsCLgs0+R5lcwigwmbxzUhf/gcAFHIqjipe6Bf2V4HUcwHpC1ZSuvX75DTnqX5LhLoqXBCqlV2CqCH3cH+YItYdwaBliGGfqcVRbRPXWSYdHS4Uw3RCQihpCMjI0PrQQBmg4Du457Bv5WsrfQGySJ9Vwe9ZNTLfSGLPcMEspjAVQjEsBZ8F89eSMyfZ0AmMrluH7H8F+CH7XJiUu8P63hGa3fEA30cEJGb1267dnFwTob8wxTNC5nGNfp8MtcGjSa8gG/kil52kTRGVqLNwuYAFiKgTgbXt4+LF1ezJZMDotgs5DDaK2QYuYs+InOM/0DGaVlphXRDlm2SbiD77bOf/XpC4919/KQe7wexNTwyIFvQKJ1S7z5jZWW15KPM8vLyLT2NbC16Fm+0hx9ZYx/60EfsF3/xHvvAhx4WAN8lP7nU8QEZQfRbhXBBz5ZWjDmZAT6g1zDVEG6rhJk6CHbKZ+/2wHSwU677BNJd93kSwblbug9fHd1HK5AWXaNRfiXXrJL+Ky2TLOUiS5WSpWx75NGtds9HH7Zf/IB087/5JennXxTGWKv7KpGMN/l+ptfW1OSEAP2cLe9ZsoP7D9jRw0fsxLHjLgvIVwx6RjD+zw1ehzwmYzKug6wis8l+YCS10F+r2KtKulG2Y3e2fPitwolbpRMKLS2tXs81WUZWq/BXu+NX/Gx6ZuXld+i5lpAgsIt+yJUa2Kk64ZVGvbdV7+20vJxBKy+ZtqryOassm7GK0mnZuXGNMdlPbB+Bs0R5Im0PpAfJhPPgi9YF3RWCLtKBQ1dt1H31MDhFngPD/NAwCHz33fX3SDg8DOyFLm3SemEHd8u3oDohO6fDkxxoT9PReVhzcVqvv6j3XpPuTJTWzYRTnymLiwcLeHnisuwUvaPeY5CZ5ZhKeGpxHjLrFZubEZ6afsEmJ8giJkuL0sOL+o6nHcc3C7tTkVNcNOiHjOzYUWSPr9tu27amSAbydO+lrpsbGhv0+hbZnE7r66cSpl82acjXEx8FQicSWPwdR8RXw4lSX9a+W9foaMdm0YakRP5epuZmlz0uObv/wUft4/c9ZmvXp3tpaZbWvaiQQNmkk1t1tXuspelA6GXXcdx6hGeRF7IhmXcSOlgHSK5xeoTre/PdGfTkmpoMPVanGfqdxAyy8jxDXFh2TJh2aEB4i0QeEngke6xVWfm45WZ3WOrOKtu0PtMevH+9ffhD98ofekjYMNflq6+PwExoVUEwPwZlkhMJsEfgp4itIKViIkFMJoiJBMmk15NPatwkuYCWL5Qc3tQ1ILRCPy1klc/Ap4RQi7aM9aA317/08WMltn7/9/9ACrdWglinBW6UsLZpI7bKsW3UpqiVEFcZx5NzWtvGjTle3vbIo6n22LpM27Ap3xvqcZIHvTIQrNzcbiliObxFQzLYo1ZRLgGvmtGmmbcGTqKo36tNt19OGU3POR0pEFgAdS+va6C57F6BjGWrqeWo1UU5lNNWXDpm+QIIZPnsSm2wLduo+c6zBx/aYR//+DoprTWWIoeLhoxNAt/0LYBICOQWzVM59prTEkMUnI3BIrE5AOMRJMSB8mTwvwgOUKS8j4VFmcIio1ARMJr/knJM2mBLS4tADSUynCJFejnZONvkBGLA7rVHHsIZLDDIOUrOYI/p40EpIdkEJZBOZTJgkBmUDUpB+tDvHFtP5JuyDF4L0QfIgLAig2671okmj6Q03/fARvuo5ub+h7baug1ZMpYltou1ym2znIIerzWH4HJjWTVllXJGyeLCeXfixDO4DlubABvRHEgPykpRqjj2ECpkd0FKQlZCWmJkyQCra1j0TC2unVfUZ2mw0SmVuo8ce+CRHXb/w9ts42b6YHQKFE36vmhpEZDsIFMikFtDUpShkR+nVFCaSK3zy05SeeonSlZj4V0jklivGCduTs++aFMzHDsrBaxrUK5Hk/wBKXyO5u0EJMgxJl0WEo4G+0RsMgRkSFteuy7NHn5ok5RxqpRxgQBDsdYlkFuUEbLWECoABwAiBEsEDvzkb553sKDXYHR5Pe+lt1bcHykpKbb+8U12/wPrBCS3+bHKHDCQntVouYUC4nLaSyVLrBMkb209UbtlXydAjhORMpqsDf3YIBtD1kLIKPHBIQRx6G8vF9VrfQ07AzBvaTvo8+DZWnJs6M+2ZUvI2siQg4BzFsum2PcoWgcJt8kUMhQjdbc7MhEURMAQn+c1ODLRmcGRiaRyBAjJZHIs98WgMaeUdFHum5KSbo8+uk2Oo4xXFvpowP7oj/4qofHuPn5aH//tv/13OUOc1Nti5aXd0oUj0rPYlhn9DokyLEelz/IEBnKymuWE1kiGyzwAsmlLgRwrmojWBX0LYJC+hRTwDC6yjwgqkHEs0ABZAnFAnxGydCDqyT5BRpJHBAUAeEqwKMWvqZ53hw6HqbBgSHsQgFCv/VgqIJNja2RD77kHW/CQ3XfvWt1XzCxp0j5Gj0CQh+xPiFsnt7TnIaac4JKMOVmlEbO43mWv9Dz9D5DHkE287FF0eicFmZmQ/HLyMRkjXfrcZs2h7H95heajWLYoX3O3223Wo4+us4985CF78MEttkU2i6wgygdx/umtRCYaGdsEAlZHnxNDhYVd8iParCCvRfNAf6YWzW275oyWBwIgHfr89h7pwVor1OdmZWcLTKTaunXr7d6PP2AfvueB0PqAEpJtxZaWWqW1a5Qe7tRn9CfWbNxqOO2SQzYalwQgsCMctoFODKQkRJcP6Tgy6Ri+dnqNAzq9hywtyg8h5Lh2ZqbAAic1rs/1NeOUYQAmmWK8nvcDHCk9TSa3iOZCSNEDikBMPGjFyxUgvGicnihfoOk8z9FMPTRCh8wiMwkHOWTT0iDaCS19lmdBY6v0+bU1q6QpARj29qOP7rC1azdrj2doXfIFsEr1fapcL7qd6ujQfHRqLgLJxejDNslX6uzS6EyU+Xa0yw6QYdKk95IZWS+9SrZervcq2bBhq9blMfv4vY/I+X7c1lMyKqc8UzazUH4FANzLp+RPeGAuQXCFlgf4EQniUfaXoAqnQpFV56WjtwIxGl66GH4C+EIQhsbWAINEhp3WsIHG+fKNCK7S5Hr79iJb9/guAW/Z7W0pTibw/cnaAgjFyDdyRRZVBAnID7YGJz4SXNF2XUj8fqcR7NUZt1WRVKblBaW+2EVKD2MAJmaTQCLX1NRKJjSvmbmy/du013Z7T7nPfuarCY139/GTerwfxBYYhFLY8vI6gdcGKy2Rf1LEqaI1WnPhptQiYZY827wpwx59ZKt9TL76PR993O57cIdXNdAPKl37gVPNCcYQvObAqUL5ZrRjIbBNP6jaugX5z/IFyeZvPmhtBKZpWSFd0UXgk9YVBKml/9CBAHevgtFrwVt1ei+nBFIVUCH7V1wyIlnqkyw1y+8tlQ+8W37pZvvghx62f/ML99jP/Owv2s/+7L8R5npI/nu2sEnIOO6XHzY6MixAP+nk1l4A+P4DnrlFtjDydfIkSQQhgSD6eqsytJptHIgs5Ak8Fuwa9g7bh03DB0R+kxMKoh/YJN+ae4LcJ8OUFh/33vuY92/cJMy6Q3o9JbXWSwxTNb9pmfWWkVUv+9MkDEtPxSbLzWt1O0PApqV5n3TkCX3GJZuYvCH9/LQtSk8v73nV9u55xeYJPkj/9/WctVZhmHrm032AafklYDfK3eZkN5ZdB5LA4cFo+d59vWdtUH76EEQXulD2BH1PW57YmoeRfHgYPj7BFcq+CS7xPbZuL3dyC+xSVTMln2Wv9MxRzYls1NAl6R5OZ7zpZYxuo2ZCb6/Fedkkb2L/ur4PjezD4O8wsFOvyT6ROSxMJSw1O/2i1vh5mxh7ysZGEoRW30XZJ0rj6c12SN93ySrLtZcKBi07s9Vt6fp16bIbG2zrlu2Wq31TVFjkPgcEZENDneamWfahTd9vNQiDvgRreAAmgani4H/gK4KBZBaT/cppo43C/1VV8TChNNu2fbutWbvOPnbvg/ahDz9gDz681TbjT9DuJY8s8GH5EpKlymk/BADCsEW4KsgQmFe2SmtLFlfAU1f0nUOPcO8TnhhgVW9NAfmlwXMkF3irJb2vnwQQXatTMokvSQIBe6NINpwDw3ZsKbTHOXX044/ZL3/gHvmIH7XUVBrI1+geOv37s9cj3kIWkAtsTiS3wFExkSA5iSCQXTfsxh0Gz0NkXbtKD2N6110VLuNAvIsui1yfz8FOJpf7Mv/04/qXPn6sxNYPf/hHckTaBBAGpRAXpAQPW2/XEevpPGxNckhq5TRWlk9aRemElRQNSei7BHZrbcNmLcLGXNu4tci2yenbKRDBRoEFh6ygB5YDByLjUpQe0a2YdoefDJ2aGg1AQO2exE8pAg1OrQK8l+m1pWUo2UkJ65gUuwBCTp8Ufael7GyS010rsF1uj63NtYce2mUPPbjZnYPM3Tn6HE4FkoDIWRscGHTwOzkZya1wMhAbAwUJWGaDkIUVwQKDv3meEQE1hBYprywszhHXpYa+o7PLo6LNza1SapRy1ltJaYXuWYK1WwBhG0TFRvvoR++zX/rAx+yRh7e5gt26rUxKttpS06VYBbZIPaackJOicFhpduxEV2KUyqiVFPVYSUGXFRUAKog2NEshN2jemf8yrU2BwFy2bdy809as2yQhXm/3PbTJHn5spz2+Kce2pAj4C9ylC5hkS3HnyhHFWBaXDVtpxahn6lQJKNbWkyUGsAunXgEW6JmGQm1r12hbcUKFEklIIbIcIMTogVZVO6XrjFtx+bDlFfXa7uw2276zxtN5H340zT52/2b7iIzMI4/BnFNK1C9FNCvlRrZY6CGF0keRw5TTK8Br0mHCSesk7ROCa57TXd495qSsSQ29ddqLl9s9aSNEFKRkuCZONQaez+K+IfMAtABjgBoHI+xIqdCaZdu9ctzvu+8xGfhdlpOdp7Up1FqUOLlFGSERV6JDlHygWHFaqRmPo1MKqaOzQ3PWps8TWNBriaJXeSYfPWvyLDUtKN/H1m2we/VZ9z2wwR6Vgtu0Nd/lKkP7gvJbMvNYp7IKyVL1pNXUz1pdY6jnb27V+mg92uS0rJJcwXhiDOPgbwZZeJ5dJ6DB+wDvjc0Qkgver419GEBCqW2kYeaarQKXqVqr4gRI6HFFixwgD8jFrcwSyQwyhCMTIwrRkUkGBLc7NJHIWgUHwZlB/gJAX+0HxOfy+dwHc0+JaElJqWVkZNu6tVs8w2Tb1koBhTbXWX/wB3+R0Hh3Hz+tj//23/5ea9wnQz8j51B2Sk5bOKHupkY40QlHDoKdo5xxKrE9kF3oVwIJqRppadKX+jszu112KqFvIbiKySwalK0acae0tmbO6ihT9N6HZB1TBh5IEHQdP4lw+8CGVcmmVev3mj1yriC65LjoueJiShFDUCYtrdF2UNrweJbdf98WOTEbbP36nZaZWeAkBLJFj6u+Pvr3yW4l0vHZ99gtZABbhDzEEQms1UGT1b1OaAXnH0JrRjpwQvqPPnTD0hMD+iwa67Zrnpo0TzUCXOWWnVVku3bl2ObNO+yxxx63j3zkAfvQhx7wxsYETNAHqakc/lHretIDWsxjbqecxK5AKua0Wk5uo+aVbJQ6zQ26kT5PE9LPZE4v37pvwP/y8n452zPWL0cJPVlbR9Y4n5MpO59umzZm2JatAig7ArmV7f3SuqyYMh2tV6VAXg2EJERKndYL26X1iraLwamByQOQQRP6sHas26xVyLklMwIikkz0bVonen+tIYN2a6G+a7OX/PMZtAUg4kqJXczcokSErCOPjM8mSugXXtIavBIGRNetPlJhhNPJntfraehMFPgpj9APDlPeD5g5p/UiC1r+mL5HvUAsAa6ykmGtV7dlCnymYqt0n/feu1Zrtl7OfLrWIk+6GuBQLtta5fqRDGHKoSCssFnYI8pAGOw7RnNzk/+fKDqkFsC8qKhCa1ysfZFtm7ek2VrpV2wihOc99zzsJT70SSOrLkd7oZhDaiRDXpajdaE00Qmu+iSCK0E4xsw6vieEFSTXrUBMYoTMcMqmsFtkFcfsSIJoS7rHCX1mn/ZFkwdhH9+QZg89vFFgfI3udaOD77raWr2HkimB77ExyRX9gOZD2ZTkib2IrcHmRLsVbdbtg+cD8D5tJ08RyQ59647qvbS64Fp75V8u6trs92TgTWCL+cV3AHjT/yUlZac98MA6o9yLUyY/+5l3Ehrv7uMn9Xg/iK3GJtmUkhbhmC6t94jka956ug9qHBJo3muN0iNVFeOuwwoKO213pnTOjjIP+K7fVCT/r9SDwZQlQjLRmiInv0N4qFu+YL+uiy84ahWVJA8k7BUHDckuAc6xVy347kmDyplGEgeEuyqrSBpY1E/hvLplt1ckF3hgWnqxvIK+fV3SfZXSKznSL1vtAx94yH7mZ3/ZfvbnflE64EHbuXOX+8ON0heA7wHJ15iTW1O2oL2/d490/T5wFhjriB09SgAmZBkjY8hQ9PuSfT9OVTx69LAdPiL8tYL/t4q/5nVdfEDkCgwGwMbXxg/EH6+srPQEh+ysLJctdOKHPviA3SfcsVG4a4tw11Zh1q07y21HWoWlZpC9U2eFxbKFWqf29iUbHjppc9M3bN/el+zYkU/bmdNfkex/1c6d/6YA/6/Z5Yvf1fieXbrwXbt0/jt24ey37PTJX7Ejhz9jexZfsgnp8K7Ok+6HVGptKoVpQ8BsUTpWOhBfvf2I7OIx4dQT2hMnrbc7ZoNTPRFGl3x1TpUnSxe9R6IBtocqHohNekURgH98fZ5t2lIsHIiNGtD6zUqvH9CayEb1y0YNy0aNYqPAUk95RhGHCjjBNStb5CRXsFEhKPOS2yZ6fdFXiqSCab2ekzfJQqIP8sjQNRvsu2h93brPjlPW2nzEGur3Sx8LQ5ROWpF8npyMVksTxt26Od8eemCLfJ61tmXTdsvOyLL83HzZlmIrKytzG8XaoRtZR4hS8BT6MhlPvXt0+Z5r72y3lvbWgK3qGzTX1VZUXCZ7nSsct9M2bNwoHPyI3fMx4e9f/rh99N7HZSPoE17jyTieiEMZKS0OsFeSIz/lUvLQ3Ew25EoguLSeAU+FLK6YJOC9wjUIvHjbAw3+7tNrenrP+xrSQ5prgJvJ6KcCq1p+bKkwMu2cOJxh84ZMW/PwFvvoPQ/YL/zCByRrH5DPtVHzQzlii+xHj9ZwRL4CWVvhEBSwFkGZSG5hn2ISQUweuHyZKpg4OFE+jsRzl67YpYsQWZTPv7tKBrvGZ8CX4EvGzEjsKL2mn33u2YS2+9GPH28p4h/9tSZtv/X1nrbR4Ss2OXbTZiY5TeMpbWDSHy9L6E5pQY5YmwADJ+mxKIDrHDmXGXJkdmdxhGeHFLN+z2iRAm7xiC5EDSVoRBuIdpL2V1pCn40xKeUxK/Ex7uV0xWUjViynkbKrgmKNoiFtznEpV8qvIFggUEKEoRLBKZ+VQh33o04DCK+zlJ3FcmwK5GSXWkVFrd7TGsitwUhuhQg4Dg0KEgcbZcmiJYMFfuc5/sdrXJnqPSE7i8aE9M+iOSFk4IA2f7/uTT+bBmVQhq2xfkjC0SdBadP3rrXUtEJbty5FTuAj9uEPP2prHkv10wo3bS52JUsEITW92g0bzjOONQJHiWIclGDk5cihz663wpwGKyngVEGODe6RwRqQouyXwHCaZasEpt7KqyutpKJUa1RoKel5tn5rlq3fkmMbtxfa5pQyPVdraXIEyd7Kzu904qRAxpLMIEoHMWpk2iHkRIcpKQ2AQcOdVPqozFtt/Zxn+ECGheNxh62orF/X6rUcGeuM3FbbldFo20mzlOJd+3iOPfjILvv4/Vvtvge320ZOvspqkYIblHKb094KpQsdXUelFELjWVcYiRRdTmmk/txP/5NSZniTdI3pqeelsJ/TvkX5xj4cIdJLPTNET7s33w8lJ5RL4BTQcJZGnaRe706rc/C2fn22PfDgJvvghz8uA/6wntvppAn9S4iGR3KLyBDZW1EpAxjiaGxpssbmRmsQmKiX4a+pq5fhJHpXLYenwvILS7Xe+XJcMmWc0mz9xu324EPrndh64MEt9pjAymbdy87dAuKSpWztc8oDnYgs5xCAUc37hNXUz1h9kxRxMyWKkJCHtB/iwQPh8IEwjvpzyDLZeGTXkX1QT08FrWNlzZSTm3kFkHuNcgooncq3tY+m2gP3rrfH124VeMlyAO4ROi9JDHJF9iKKD3lBfiCjIIcBCjgq0XFBWUZQEB2aVWdmtXQKZYos3nJmEvJHpIDoDSABw8ecswasR0ZGpkAwJWiP2cMPbrXtW8ssPVVzJ530+7//5wmNd/fx0/r4H//jf0p+V5xMIEOGyCNOGA07abIdGm2/Lh3/CdcXOCHt7cclDyueEVopW1JUNGL5eX2S9cTI6dVPZL8r6FnZK8ht+osAzv0UxUrK6gUcNPhZcyuDdsodIdeTAgrNTStyxKSz5OxAppNlClFBP0KifmQq1zqJTqlbv2Wk19vWLQW2wQ+MyNA9FEoH1siGtMgR6pZ8habf7Pkp7X1kzE+10yBAw4iEF4PMEGRlcXFBzihk1qyNjXP66oTs1bjmYkL2akzXH9G9jksHTgrw810o6xNQKumw3OwG25lSYuvW7rSPfuwx+8Vf/Kh96EMP+ymFjz+eadu2FvphJJRV0gg/La3aMgTGd0tHAcrpb7R7NyflVeu6jXIGe7RWk7o/DnA56DKO3J87H8qULyayNy9cvGTHT5zS/S/JaR7TGvfLL2nT/NdIfgtssx8SQxPYQie3sijTkY+Rr/WiyTvzSTNY2iBQWkpmlR9mQ0l/zUxi3XiO4Br/D/atRjantmbR14WfFWSHF0sHak9kZ7Xazl3VstNF+twifdcafa9Ofy+2EIBBBnPoH3VBDm3oH0XZQcjeokdkPAGQBulJw5ugy14lTmYM/bOI7l7yTNpbBI6XSO4LhJbundMHIfX47ulyzCmxfXxdmt1//3r5F/c7GZmammaZmZlGyRMZxpSWorOJYlfXyF7V1Qn41LvNavCfkFgNsueU+dbrc+o0D3Xy0Rplp5p0HfklGTW2a2ep7dherHXIkT+TZo88vN0euH+D9obsOH08BcrJdIPghCyG4KI8kAzz6srQWJm+a7GfnWdCtgs0JMp9CcZQphPaHpz1sVouGgIwHoQhmCbQzhqwFmQMchJiOJiB0zV3etQbUvbeex/Sfe3UfVAy1ah57dYch2xj7ImX0ids1kHZG+zOLbulvepDtil5kEXCPuY1DGzWQdk7ToPbIzmcX1iU/JFJMiUgAgjo13foduKQTH6Ad+yruWXLdnv44bVOEG7ckKHvUGmf/vRXEhrv7uMn9Xg/iK3Wdk6MXZBNOCz9cNYmxq7JX33aFuaelfxTsnTThgYvegYHWZj0ZSqTrJB5mJ7Ratt31UnXVgucS/bkx6RnEEgQrpLPzqmJ9MulhQkHcZSV0UuUnoeUwEFyofsor+Infrx0HbrQM4mk66qXralhRfrlpOTsgpMetOeYnH5KtkbYb0b+88QN7d1zbtvIPM5Ia5Y/WChds0U45iG77/5H9Pdmo5VGVVWl9HWzsGKXDQ0M2Lh0+MzUtC0SyJDu37cXfIWMkCwQkgiQm9VBQgFE1uFAZB0SDjuw1/buk11bpll4OOBiStfEHhL0AdcR2MQPDLJF5VGFlUjn5WXnWNquVFv/OAkF97sdI+uMg882bS60TZSY7yqyzPwaK6vqsqaWSenxFeGGS7a0+IKtHPiUnTj6RTt94qt27sw37eKF79jlS79ul6/8W7ty5Tft6tXf1vgdu5YYV6/8ll2+/Bt63a/r9b8mHfFVfddP2czsM67P6JtcUUkLGa2B8BIYuqmF/lv73afp7AjZdWTVUa7IiC16IMBIKMDeEMSua5j3wHZR6YA3t9+8rdTWrMsUXsi0namVwsPtspsj1qi9195+UDrvuNaRzK1wuADZr7F5vVfCCDdx0iKnJzLwn5zI0nM0TSehYBwya+xJGxm+oXm/Yv3aM5TqdbYdE/7kBPkQxHNCq2hYdrJH+q3Z+y9u2Vxgj63ZpT3ziH38Y4/a5k07ZMMzZCuytXdyZStCsgB6EcI/BmGoavEATCLo4qM1jNbWJv0U3mppFIahd12DsFW9lVXWCB9VWFaufJT0XOGnNFu7fqs98BDZkA96YskHhcMfXpPq5b5kRJK9j8/nLQ7INk4EZGroa+xVZpIV+W6t+p6hTJH1oWKJXuHYqzOSoXOOMRnYLRIHOsis0/q16D1+4JuuQUDUe2PLbhXJludK1lPT6r1E9rE1O719xi//8sfs537uF+znf/7nbc2aR3RvuZqPOn1mh+a+X75COJU+mdyKOAvfKgZkPNPYB9UwlBTyM/x+/jxj9TC8M2cgslazjrFvyCg+G5gOnzNWyEBqdXS0S2c12NNPP5nQdj/68WMltv70z/6jb3iaTdPgjNMTOBp0ec8rtnfpVSkl0ueJLIZTFUilX9rD389rw9+0UfoUDVzUAp/VJlyRgpuVQzOozdKljdsmRRxHu7P/ubm9cnwEJrSgOQLQ/lMjO6/71sgvGnAlQEojDcxJ7yM9f47IphxFwAIN6jq1uSBBiL7CUJeXDWkTtFlWZpU+o0xKrkYOfKs2RLfuEZBAzW5oSgfjj6JMBggBFLz71IWoTEdGcLY5PnZAG3vYOgUSejr3WH/3IRvsO2ETI+dtavyyTY/LeMkgzE7e0N9XbHxYG73rsFWUjcoR5bSeEjmGRVKwhbZBPzc6uVVi2+U07kyt0Cav9o2eli5D5mBBIwNw3mDZmdWWny0ntbTB2lt6ZRTJluFY1IO2b/8hW953QMBnjw2PjluPnKkOnKm2bqtt7LGSyk7LLpCiyaiz7al1EvpGS81stvTsVsvIbbcsAYQcCXeuHNJcb6g4KAMxLIeQskdKSselLEnXpBxy0n/nObJ7IMIoaSSjiNNEvGxOirWsatRKKoadiKFJPsAxg7RUfT8IvcfW5dp6zcOOlGqj1r2oaMgVPyV2lMThzBKtJoKBs0867uDIVSe4/PQ/KVuvYdZ+YAAmqfUGSK42yDznICGmfqLs6+sBOPpe5TRAJhOK+voWKdk6gYJS27o1z/vg3PORR+wDv/xhe/DBRwQgUuR0ElHNlBOdJWUcyhKJNmBMiThAsKyOGinaGhmgGikxGc+KWn1eo17bIQXerZ9dVlLaLgDVpOvVaX1rtO4V+pwiW78+yx5dk2aPPpZpj2t+tqRU2k72hNYrI1v7O08AtKBLcy2npmLI5xlSqloGk5M1Q5N5om+U98ZBVh2RglDqG9PPKWusBDAJwLN2OXkySJkttkuAbssWGl3n2CMP7bKPfWSdPfjA4zJSOwQmC9xBJ5qCXCWTxshNzCyBmILgSo6EMyJAiOAgmcxCkQIyUKZca0bgY3IiRLzpkUKkJjoy9ANi7slMyBCQ27KVPgqP2D0fflD3vM22SrZ27pA8ySn84Q//NKHx7j5+Wh9///f/S3vtuhMBkAOQWN7DSGO/H2H9ae2f0AR17/Kb0uOJki9Oq/ER/p6bfUmg9gWPOhJ94zScmppFOVdkKkpXSQa89EP2idPeyJwtkU3z4dmz0m+UcJcC1hc84EMmKLqIKCf3xemr3iyck4T0k/5JnIBEhI/SX7JW6uvmpVvpP9FkKTtKJHP5kq1S6VXIrWbpv07ZVcqbB7wPEnLmJJfsVxiTPuh1x9/I4IRkBSLJyay+CX3WpMa85Ga/rnNMOvG07Ollvf6GZCs27n5Kv3N6FjrzjHXIGS4qHLCNm4oFYrbZxz++WTpwl3TibtdNkBhbtuQHkmtrkW0XSNih+9+5s8R2p5cKbFXLF+iw4SE5YLP0MgLMUE581k6ewsG6YVcuPyVg8IzG03b9+jMaT9vVa0/bxYs37PDhYx6VH5W9ppyHzKGCglJL2QkooVdlvqWQOSYdBTlIf6mcHOlSSElK7OWghmbA2K9Qsh/Xzcmv0jE54bPurOKkEn1lX1H6R+kbdgNSCfIEIqYcsKm9QC8WstO4PiWL9dK3ZCyHY90JwtAYOICHWJ7otinRJ4pMLprAcww/g+wuPo+G8DR7hiDr7gHM0GMU4mZenz/rRBzAtbBQ9lmgFluRnlZpO2QrNmzgaPBN9uEP3W8fuec+W7t2vdZCwCEtkFu5uSEQg60CPNDXBKKLNgmR7KK8vLyM7DoaxDfJJrbpO/fIho3JGZ/XXl0WAOPkKADxtF435NliOTlttjut1namVNg2gavt28q1JpCcIZMPmw7JFWWItSBzn4MEaJhLVkgyyYUv560PBPT8ZztEFj3rZL/IlJTN4nRNSEgAepV8RHyTPPmMZLTs2lXjNuuxtel2730b7SOy3/fc86CteWy95izTgRN2w8ktgWInt+QHLsjPi1n8MZMfW0RJbyyhSgbgjMOHVzzbMGZn7RF4x1+clK84Nj4p/4O+j8PyF3ulHzhAiPKoWistKdd6QGpBEm8XmFlnH/3IfVq/B7SW6d7y4+1PfSmh8e4+flKP94PYGhsn+/Ci5PxpJwyWFl4TpnrD9u/DXn3Kfy4tvWYzs8/ZkHQAQVzvfdV53O0D/llxCQciUBo4qH3eL5nqlmx1OJ7yALh891yyuAq7pPN6JeOyVfjfkjUGVQjh91HJOL77vDU3HrK+7nM2IfsHwc6BSvv2v2kHDr5tB1c+4+PQYX7SVPxN6aynrbvzpNXLRpbKRweTbN6cK13D/t3gxHFRMaf71mqvt1qvfLQh+Wpj0t+UJc7NCmfNLwo3kigQZCwSyQf2h+HJBPshsvbaHoC0MNjs/JxNz87YxLRsmnDb6NiEsOqI7NqAdXVzUmuHfFpOmayVD1tlJWUlll+Y7/556s5dtmnjZrvv3gftF3/xQ/Zvfv4e2bKN8mfTZb+ybMeuQuGhGmGjPuvp26M1OiNs+7StHHjDjh/9sp05+S27cPZ7duH89+3SRcis37Jr137Hrt34Pbv+xO9r/IHduPlH9sSTGvx84g/thp67fv2Hdu3q79qly79p589/V/buq7b/wFtGT9vGphXp3bnQ21j+eq0wK4kCZNa1QvK3HPTRRmWMflImT8ZQg/6PT0/JKfiIfrtOisjWpUrvbd5ebo/JT6dv8Tbv3VxnRcIHVRWjrrPbOw9qvo5q3k5ZX/8Z+SAXbDRR9k0QhgwuehnTEwqii8SBCf3OvvXT7rVPhoav632XHY/jvxAcb6L/tfYEpyMTUCI5AVKWBIHM7CbdB753me4pTzo5RXjqYXvowXWyEzulq9Nko9K1l3Z7Ri02irYs2Cd8enR1TBqA6GIQiAF3QGBSnlejUV2jtafct6JR+KpFc9OmfcChW62SjSZLy5B92lVhW7cV2Lr1afbAw1vs3gc2O7G13lsp0Vqh0e2VE1ya0yLhVTKzyeCiVzi+AkGvBq1Bs/BTs/AUwVKvjhGu9JYHHcc8OENPVrBmc+uKNZIE1HzAaoW3amqXtXZk78nnK5/yhJ7C4hF9Zq+l7Gqw9RsKPHj4kY8QTPyI/czP/Lz97M/+nPbsvbq/VNnMCn1ei9awW77FkPwJyunDCb/IDvYKDIWtitlbyZUyZ8+uDkisQGStJhYEGxfsWsRhyCmcSKxQo+9ZSCho016u13eq0r6/kdB2P/rxYyW2/vzP/5NvbjJfqKVdllO+LCd8v8ACAGHl0Bc0YV/WF3/HTp38uibjVzUpcXxLfzO+aWc0Tpx4R6//tJTYCw4Yqmv2CCAMaPO2Wlq6NvruFgHQNie8dssZpRwOYiVdm2q3lHVWTo821KS1tB2Qs3fRHcHFhVcFXgAtAgkrX9DEh2OzOUp7z9KrErybmuxz2lwyBrCicpSqKkZkBDjWtUQbXiChuVnOZ5deR73uaoNvFgswACggeseIAIHSxQmBCJxrCK32DjKiBmVwJqy/56BNCwTsXXjRDu19044c/LQdW/m8nTjyJTt59Ffs9LGv2ZkTX7ezJ/TzpObt+FfsiOaFSACgorX1gIzVoG3dWmMbBB4QsM3b8m3rDgGFHcVeqkL0M4WywZRiOYullplRaWUl9dbR1mXjoxMyEsuahyN24jgpvaft9JnzdvLsBTt+6oIM0nmbWzhhE1NH5LidtqnZ8zYxc9lGJy9ZjxRbcytN61akXPdIuQ9rDXo0erUGPRpd+l2GM7tTjmuXE48oq6JiIkNExTkgIJTs4ODn5ffJ4e8TGBRwKJ2SAqZE45Q3MB8bv2bjE9QioxDPuCLwrAUvE5r292dmthrNGTnBDkPN6YmVNdO6vz3u0OLgYujJtuommivwQH+s5BOuwrgicJA4mbHvgowrAO1YYk9IsXjm2ZSU45gAy4iU0ISU/Iz2w6zuTyBqdF7vn9LnDOkeO/SdSu3RNZukjD9mjzzymJGxhTImGo5CxngCGiC4SKelDC6MEh/FJWVWWFJhBSVV+lknhdtpDY3TAlIrAlKnbWTwgg0PnPPeB02as9qqJasql9ESWCa7EUd96/ZKW7+xxB7fXGqbtgs87KyxHWn1TkiGDK5OyyvqtgIaMyf6LvjRxZVTUqJzUjwLkkGGQICPWTkAlPrKEOk1pTKQ9K4rKBy2HK1fVjYlW0Ra2i09vdE4DYw+D5CxlOQ88sg2e+yxrdqP9AQqc2c9klvIFPKEDMXsrQgWUJIoSwbR8Dj4G+KLEQkt3kN0DvkbHxu1keERzdeAPqdbwIfTueTI1DXoe9Tr3olOlUjxZ9uWbdvtoUcftQ/d8zH7oEDeww/vsC0bybSo8O/wez/8k4TGu/v4aX38wz/8LycGnNTaI5CQaMwdSS3s1aFDn3P7cOzYr8gefU1G+xt2ym3Wr9mZs9+WYf+Oxnf971Onvilj/hW3LfPzL2sP35COOibHalb6rE8y3qbRIscLkC55E1CnF2Jefq9nHDfKySFiR+AF4ELG2MGDn9Hnf8GOyV6ecHv5Lf+cE7IHhw9/WY7IG9rbT3vJFdk+Tc00AJejSsn2brKdODGrRHqAvhOUOLdJj3Xqtd3SoYkefkODYQwOSM9i0zi4gp4Tg9bXO6TXjup7TFtr26Lec1Tf65LNzDzjIApAtXL48/reX7ajmiPuE9t+8uTXNGeyU/rfATnis7PY8DNyLmfdZm/eUiHnNEfyn2Hr5EBT+kbpVBybNmfb7vQiOYINcnz65MhPaU4p4T8jn+AJ+RDP6jNf1ue8bufPviHA8Cm7ePHTAg0al962q1c+I0DwtsDDq/r5vObsrNb2gOsUvndLS6t0Dv088wSqMm0jJ9VulmO6rdT7d6RJV+1Opyk9Gc+hPDJk4FEamVi3PI7PHzOaxNJkGfKJ7wnpuU8gk9N08SvYT5QOsk7YMSe5mvd7EABCk8AcB+WQzRfLEimNI8qefMCKE1zDnEYWSkC878YYh3fE04SxV6EBOmWNnEjGKVr19XNOKlVWyhZWkMk8KPs1oPvu1f96rL6uU449AZJm93M4/e/RR9baQw88Ij29QX7FVie36M8BcODgGiLjlCfm5QWiq7AQu1UkO16mn7JTBXUazHG/rs3JWgQVZacEuOnLMqv9AwlKFjT3jEMfTk+D6Bp1MjgtvcUP7Ni5q162o1F/sxYd+h9Nmcnal50qguCiB9e4AAPZgtPyGTidOZBclBb6oMxXQI7erJxaWo09Eyioq1nS99/rQdRWDhqSfaevXVkZMkTD6y5950bp/RLtVTLZKElcpz2zQ/8r1HVqfC/RMoCTHylLxOeLNgtHflk2iH52EFfxwAa3UQLiRMhjmS+2ive440921gilvuPyIcYlAyO6x0F9j27NUasTh4UFlZaTzQnD2QJalHRusI9/9H4/LOHDH75fa5emtcu3N9/8QkLj3X38pB7vB7G1Z4kqgueMPkbLTmh9Svvq09pD4UTvAwRhNPZL73CIRCCX0M9v2+EjnxbekV3b/4btXX7N5uc4de5J7a2z2u/7rCB/1DJ2d8pPE3aSr7ib0vqsZoF5AL1Ael6b6z5OcwVrlMo3J6umT37x9MRTnrxwQJ95eOVz0stfkg3AXn5V+lnj9NfsxCmGfj/1K/r/5yX/z1uPPru1+aDLPC1RdqdV2IbHd9m6tZs86IvfCwHR1tJiPZ2Sr75+GxkaFl4Zt8mJKZuZ5nS75IzjRBLB4h79Tlb+gmQJcnjWRsdnbGhk0voHJ6ynTzLVOyY9PGZtHcPSxX3SF52ym01WUlZthdJhufLDM+ST70pLlexvs/Xr19sDDzxov/RLH7Sf+9lfsF/8hXvsgfvXS8ZSpKOyhWfqhYNGbHBYWG76kvyJ5+3QgU/ZcfkDp2Wvz5+lzPA37PKl37YrV/+dXbvxQ7sOefXkH9nNp/7Ebj79Z/bkM4w/tSef/lN7Sn8/pZ83n/xTe+Lmn/hrr1z7d3bx0r+V3/Frbm85Oa+19ah0lXzvslFv9E6SgB+yRiartzyAQNnjvwfdt+BkSEUlY8HKyxe0ljPCF5PCT7JFskP0S6ZMlR7L+OypabXutxRK51ZVyk9pWpCu3CfMs2Jd3cdcr0OigpXoYxx7RYXeUDedhAvJAeH0YF5HckHoaXjYK0MI+JAdCIlapL1QVNyl76TPq+nX/4dlD0etu4fqpmldZ0b7dljfrVX6t166n4zucFohARh6DENuxSAM2awEYiC5KKWPRBeBGIIwFRVV0qdV+uxqjQZ9bodsM/tiXvdI0/xT+txz/pP2OdiRioox4QWClm2ap1rbllJhm4RrNm8tE+YGf5JMQisl+q+2Wx6JA8KnfjhOidaqHFKYrO+wVhCNJAhQttvYsOxBF29R0bjHbRntlaqqIf1YP/rXkXxzwO0WjfXDIQ8kXBwVHpuxrJxO3UupPfBgiv3yBx+yn/t57duf+wX76Ec/qv28RXOSr+vX6X3t1j/Qa2Nj8fCuEJRxojiBswjARIIrVsqsDg4Xij3ESSpYDdKA1bgWNpDressX4bDhkWFh5T7NbafuvdXvo7KqTOtTbFevXkloux/9+LESW3/xF//FwcKCHHuaxu1detP2733bVg58Xs6olJ2AAWTWuXPftQsXf11O6L+1y6RiXvltDVIwJfg+fktKgFTMH9g5AYfjx76qSfqk1/bW1c9L2XZoQzVoA9X6aRM7dlXa9tQqzx5KlXLOyRvQ4pO2e9KPxKTul+NEDxz4nBbrK1qAr9pxgYOTJ7+pxdE4/U39/Y6MQCC4OD0HAaReuU2OZl3tpISjXaCdzV+te2i2lrZOXb9bYCQcfw0gJ3JHrx7Km5Ib1AESenv6rbO9z1pbhq21fVZO6xF9zg3PWFs5+LaU4BelBN8RSPq65udbdv78r9kFaq41T5cvfT8xfuB/87/TZ74qIAFweMNLPUk/pR56x84y27AlV4JGeWKOl1xs2pRpnBaVIiWcl8/R3a1SLoMylDNyqkg/PKzvr417+qzGRRmj6zJCT8k4vaz7esuOrnzajhz6jJ049kU992Wt46/4fB099o428jty1H7Flvd+2iamn7f+oavW0n7KyquWZSBGLT2n29IyWy09s8V2Z7dYZk6LBI8UaMpLA2jwDLysTsvL7ZPgT0i4D1h/7wWbGKO/yMsyWK/r+iGTAjC1d98bMs4vSWHe1PzjGB+TYeHURClpKceM7A5Lo4xVAITMIVJtaxvoH7X3ViSXcroOrW+XFHOPAAQggkGqL1lZsZF9h4xHC2mftZSXyKA3Tuq9MxLQJZudOyTn4aTm4rydPXfFzl+4IuOTqDm+dMXTNM+evaD5PSZHYkbX65KRadReon+TDOeuNNu5M9UNOaUEDhqyc6WU8xODUthCKdASGZ1aKyrp0necFjhdEZg9p719zR2LObIjZ16weZrajwno9l6RM3DeujtPa8+FWmwyBojQ5JPamy8DJrCdmSMjpvXJzOmyTCIjeVoPKeucAq1FYY9e2+fzV1QybMWU+JJJ54My30ErKOnzUt/8Qg4eGJJjMCHgBKighDHMsTcWlcLGeFVJ6dIImDTd7Gw5UOmVcmiK/XjysrJKKblAbiFPsWwKYhiliAPjQGF5teQ3Ruv4GUt9kwEChJYrUjlF3d391tU5oLkb0nyM6L7GtBfG9bvWs21OY173OaX7g1ytsY1b0uzj9661e+9bb+sEvDduKpSxKPZDE37v9/4oofHuPn5aH//4D/+3DC7HVQsoLL+hPfRWAAQCDGRGHT78JelXnHH08Xfs4sXvy15JB1+WgyqbhY2ifODqtd+Rs/rbeu63PLJ6Qa87e/bbMvRfc2KKEkf0U6FkBII3LbXaU+pTU2stUzqqUHJDRB0yndPaaBDuhNHKF5xQO3X6WwkSTTbz/PelU36gwWd8V/brG7JZX3QijNI1nEwifIB5IuuhT1CZpe8uccKhsqJetqxZuoAj49ulj7BhYZDR5UPP0XSenlmUwre2LkrXnNG9PSXZekVz81np/a/Ibn7DA1KQe+fPf0/j1/2+mKeLF38g2/19O3/ue076cZ9HjnxJOvwN6cGb+oxjTuisX19gjzwKyb3LHl2TYmvWbHewsHNnjuwAJzsKLAzt1XtOSqZvyNa9pHl5W5//Bdmgd2QDv665+YbuYXWcP/+ruo9f01pR7vFlu3L5Lf18Wf97Qrr6qE3PzMom06OGZr4cuJJrmzel6l522frHM/V7nmeOEQyC5EqVX5Em5363Zzs3ucMKwVJaOiHdccTnnRJBMvggQw/re0LyHYcI1RwxTpz8mj/H3qJXIyQV2RQQKWQLQeZQclEuh5kmvvTt8sbAEFzdnO6bAA/9HODx7uGnkwkoYLOI8kIiQRJ5qWSVwE7VkPTqkNZ4Uo4lfQXpMcMhNzilp+3UyTO6x7O6xzPa76cEiA9I707In4Dw4uTPbNu+ffstgmvXrl0OIgAQGRkQXZk+aFqelVnoGe75ee363Cn/DhBtEFiAWfqAMU+QtoByZI6/ye6npMWzzLrpWXlCc7Oi+5bNEhCrrJwT0KX31ZiANYRTrwADWdtdISoue0IGJHs+nKDJwQ2TtwYlhhCHNPUtFxCsrCDD7qA+77yThPR6gZSMJ0fyHD0jKbGn3IMst8IC+TFpNQIGBfKn0vV7jhUXlconqLNmgW+a6ROBdrs1MeHlvrdaVSRILnpw8ZPhINwB+YL2TwiCjpFFMjimORuXrZqUrZqR/7koG77PujoO6O/91t5Kf755fS7z0am5J7MsR8B7o33wlz8u8P1R++jH1kiuKPfdba+//pmExrv7+Ek93g9ia/8BDjJ6RTo4no6KLwyx9Rn977N28NAXbOXIl+2IfPJj0j1gmjNnhbXAERfBW9LRF74jW0ZQRjbl9DecgCIbmP1PFlVlxYzlyCdMTWu0XdJ5qek1GvTtrXPCKye3RzpTe7LtmI3Iz5+V3tsn27lyUDZBes8TFmQvSVLgc86d/3YYF8IAt6Cjjwrr0G+JDLR2+bKNDXPSgb2WtbvKtmzabVu3pGpf5+o5YRXJV0tTi/Z+hzBUj3Rgv+MqTygYJ6EgnHQHaObn6Ni4fD6ysRhT1j8orDWwx/oG9tnA4Iow5FEbGSUQcVI/IS2OCudJplomrKamzyiXzsopE6bMlM+31dauXWv333+ffeADv2Q/8zM/az/7Mz8vOfuorXl0o3RhhpWW6f5a6M21Ihm+Kll/0XXbkSNfkX79pr7vd9wuXpZvcPXav7PrN37fs7JuPvXHgcR65s/s6Wf+wp55lvHnPp7V3zz39DN/bk899Wd67Z96RtfV6z90HwP8fFz2BJzd033G9WMxPnoxxEnisLByyujHtF4a+psMu8rKWaP/WUsLdoVsq8uaoysaob0KZBPl3PgPBKHInCos6Je+7XKcVlDYbWWVI8JSslHNslGyNfEk9dAQnf6FVLas9ozCbsXTM/2ke2yU91Km0mNB2GzCyiqGrKJqQNhmUJ8/pnVBRx6RbyPbdPqSnb94TfN33a5dv2k3bjxl16494X2czp09r3k47vqU/UBLE0grgi7YLQalrfwdSS4SB4qLSxyDFReX6+9qKy4ku7hL33lC+Hyf7pW9QSb6k9Lhz0pHU/6PfXhOOvq62+NWb0mBbZjRPI3L5g3KLnbartQW27kLv0tDvgI+Qxb97Gj/48Rwnz6TjG9aHYwmbNWUbBT2mp+MhM3S8/QSxwbW1hKAOaI5PKs9e8UzwkPl2Qu2KD92aQ/9zF50/4p1rCif0vdvs+07Sr1v5b0fX2f33UuwaqOlp6VpX5TJz0j0shsIbWDI2MdmRZwFroqVMjGRgEyuOEJG1kH9n7ZL4LFlvS+0r5ibm5XvO+34DTkdGhmSDPb557W2tchHadB3qtF9lGpd8rROWdIP5xLa7kc/fqzE1l/95d/ZvJwDmsctLX7S9i+/LaX3eTt+VA76KSm78yhYAYQrv2FXrv2mXbvxOxL037UbT/zQbt78Awm8xpPhJ89du/57Uga/66ABkufUya9o4l7yVMiCwn6BzArbtLXQNm4tsI3bSmxrihyx3H6rk/CS5TU5/oxxnOjeJYGVA5+3Y0eIKH9djty35BRLwQuwnD0vZa9rn9PPs1LGJ099TYv1WWfEOYmA0we65GA21Ev5lgvIFzRZUTEsY4MEk+aoodk3J2jEht9xOGCg1Km53RrqOqyhdtDapBA4NnWeKMcBIhy/YidPfENC+m03PhcvMz8/sMtXUYQAp38XxvXf0Xwwftvn7tLlX3djcfqMHOdjX/S015mpa3J69rgwbdxU4I7N42tx2FPknKZJuIskHK36/GFtutlbpNbRo7Cu5zSu2LGjT8lIvajxSa3b5+2UjNUZKejzp3/NLkqhXtQ9XrgkEHNJAAvy8eJv28VLv6PxG1JA37NTMmqHVr5k07MvWaeUZ3n1nGVKMaakN9h2snYEFFJ2VXr99s5dsNu1MhBNlpvTJ8Ge11wftwk5lotS2vuWyZz4ggTnyz5PxwU0yVY4efLr+v1rev5LUjqftPGxp6RAUcykbR6w6toFjz7Qry2LHh3FA1LI4xaONSaSu9cam/dbkxzvVsoUtL6hXCGULkB+0TMKMqiB3l8CCHW1w1rjCZucWpYTcVx756IA7RPap0/bU08/Z889/wl74ROfsBdfetFeThovvfiivfD8CzJQz/hpEWfOnNMelqPaRcS/XGCXI893WUrKLie5UlNxmumPkSkFlGuZAqU5uRwgAEBZ1t4/5WCKBtezXu77oi3OvWpLmoe9e950Mnl58Q2Xv2WyB5Zft/17P2kH9r3hPyn/pcnjxPjTAkWXpaBPaC8vao4GNVdtlp5NSWmz7c6hrLTNMvM6vKSXEt8wui1bg3JTyLCsHE7YGZFhmveo96CMJT3J5mafl4JE4b4knfC8K1zKcjAKlIU0Ni5abfW4lRXr/bl1lpdb/k/IrSHPiFwtmYpAIQICRgQIPM+ABAOYscfJquS0tPbWYetom9Zn79P9aX+NXdDc3bA9C89qzj5hB5Zfs4Oam/1Lr9keGYrJ8Wtydg67o0BaMaW8nBSzcQsn4uXZ7/7uHyY03t3HT+vjH//x/w49tQSsl+ScMwAM+w+8LYP9edczEErYLJzSa9d/V7bq9zR+6LbJbZXGzSf/UPL/J+6o8jf/R28TtDkr8HIM8CDZI1uFSF1qarN0caV0XqOA8bD08X45lpc8IMTJdmSLrZCllSC1PAh0Qfbg0m/6fUCoxQHJBql05OhXJGMvGwdj4EwCynE6OfU2JzuQW2lpRXIeKgQWqvV8tZx4evk1SN4Yjfq9UXazWYC5XQ4eTt6QdMOybCDO+itGBtJRfRcILe6J73dJOv/W/dAnJGGrmCtsN8/xOgJUTvad+KodPvJFD0wQPKqrW7Jt22rskUd2e1bkmjXbbOPGdDl+DQ40hoaOSZ5vSl++LpvyGc1lINQgGgELlHV4cMzHb/h88PsVfl7mOdmpc79i589+zs6eeUM241kBwxP67P0COXNy8Hs1F2T35tnGDTv1+Tts7WNp9vg6MseyZUNzjVMwt8q3SNnByWOcgtlm9Mvog7AZe0Lg4iUvVSW7j0g6JBbrBqCJa8e9nr/w6/IvvqO1+rLvMwhPmsLSAqG5+YA7sA5MSkfcoSXTqVlONusIwQVpFQdZX/F3/kfvLA5kIUJP/5sq2avq6l75JQQHFrT/Dtnp02dlqy/7qUUcyf3008/Yc889Z594/nn7xCdeTIxP2PP6++mnKem8ofec1r3ulTNNGS1H26fJTu2UvUpxkotBw+ddu7BZubY7vcyKBH4oi8W5JkKPncL5DqW+b2p/v625+qytaBw69Bk7RKYJAF1AHaJrfyJbkkHZLWQgY0m2bHbmBc9QI3uarKuS4lEnuvLzBzT6NMgIJ5sLAMEgGy5kdnlDX8kfZGKXbNAYZJt8PEhtPjNkZ35J44v+uRDensHff0FzfFRrxMEwM7rGiGVm1EumimS7Kcss13PV1ijZaW2V/9fdo/eE04xjcAaiy8G3Bgc4xIz+WOoLEO/rG5OvOKoxI99gv2zzCcnzZZueekp7TPcp27S8LJsuWeD3RQHoaQGvEekO+oNRsvnII2n20Y8+7mUonJZKC4JXX/10QuPdffykHu8HsXVo5S2j/+OyZIgg7/LypyRPEFuf0379ovQKWb3f1HWld87/uvBBIgAjHXztOoQKOjkEYq5e03PXfsuuCoddFh47f/ZbduzwZ21+5mnJFn7PsINyDvLy1iY7OEG2Q/hnWrrmmPYseu9F+ZNv2uFDspXgO/nkHuiQjsMmEQRiXLz8gwSm0dDPi5cg2H5Vuvgr0gufkL26IF9LfnvjglWVD1jW7mrbzuEeWzMkZ/mS8XLp2zrhrybJ7uqp4eGkO5IK+txX7Osd0HOD1tUpX69zUnK4aL39ByVbp21q+rrw1nPSQS9rvj6p+XpL8v5pO0yZ5IG35CPT7Jw+0BeFG1eEEcaFI+ttw0ayNB+1D37ww/azP/Nz9n/8H/8v+7mf/Xn7+McesK1bd2qeKqWjByXvB/TeK/InA6m1svJl2Sqyu/Effl3fXzZJ64D/8MTNP5T+/RPPyHr6mT8LRNZzfyFd/Jf2/K3xV3r+LwPZBcFFRteTCXLr2u+5L3Du3Pc0h+/If33dejpPya5PGmXUkFD5+lngurBXo186mf6es9Jhh3Sv56V3ntR8vBR0H8kC0sn79rO/KGV93kakY/vAvQQYZJtqvCUQ/Rh7LU96lUOnaDlCNhEnPdNruKP9qJfik0xCY3QGAQqIr3bhgtBTOxzQUVNDA3x6Lw8a7Vtqavulkydtema/fJ+T2iPX9F1lo559zjHVSy+/JD32ir3++uv2yU9+0j75ehivvfqa46tnn33Wbty4oTk55/aKAAPZWRBbIQBD0kBmguzK0ciVzc/Xz1LNVYOVl/YLj+xxgo7sZwKMc7LrnJaPX+ilvomkin373nRsOjH6pA0PXLWh/ks2CJHXp32sdWhqOCifYt4TNAoL6Q/Wq8/uECanuoz2A1QvdZof7OZ97Wh1kDjYrZRBiwMNb91DJvK81o1esBe8lxn+hlfBHSD4SUY/SUNfdGL5qH5iW7EP/T1njYMfKivGhK/aLTWl3E+SXLtmi23atF1+YZ78jCpdu9nlKSYTQBQnt1aKJFdyMsFqIgH9WPdonsBfc/4+cNr4OO1exmX/x6x/YNh6ODG7i1ZG7e5r1tRUa33K9D2LtGdzNDf4FTvkc59IaLsf/fixElt/+Zd/584H6bL7pHgPH/yCnTj2jp3FQZeyu3DxB65wr6BYIbWeQNABB38k4I+wazyT+Pn0HztoeIIaZDnJ14iKo4TPSAkf+ZwUyQ13BjdvKbd1G/Jt4zZtZAkefX9giOlHsSDAv3ePlJiU/9HDcjqPE0X9lp05h8LhflC0KF7uSw647u2ilDFRBqIZHFFKxtdgH9kvEnIJcZU2SlEBJw5yBGyVFij0Q4pNv0OjujD4u6amzirK6wXiJbytB21KArG8+EltQMDLV+Wo/6qnql6+mAAJNBDU971x4w80/kgg6o8TP/X3TYGqm4ArAIRAgwwXRuScDMrpE+/YETlneyR0/XK6UUIbN+bIUd8uIJUuASrRJm7RRhtwh4rU3QMHDwponJCAXJCyv2kr+1+ywwfe9Oys4xKUM6e+ZhdkgC8B7jRXVzVH15yQREkHUvIadeDXAXS/H5Tuld+R4fqBnTn9q1JSn7PZ+ee04Y55ls+O1Abbsr3CM182bSEDhvLIeimXARm2gz7PU3I4l/QdDspoHz74ZQntVzVP37CTJyjD+TUZz1D+c1ZzdvbMd50UXDnwOSdUSXelP1uHFCzkVUk5BqrXMjhZE6YcllxgD6VMKUiNFHNd47LVa5D6CQPvqZ/6Hwx6pQBCTY0MZce4E1qHVk4K7F60y1ev2ZNPPW3PPf+CwMBL9srLr9prr73uiveNNz9pb731hn3qrTd9vPXmm/bGJ9+wV1+REn7pFXvhhU9orz8tsHNJCuKA7rfPcnMog9nhfTI4Unzbtl36fbft2llg+dktftoNtdhEPAALKLjQw07Kd4FjdCG03raD+z6rtftSIJIFIs+QbXL6my4zF85BTH5HQ/se54eSqpPf0Dp/xfsKTUzKqdEe5wRRiEhKFFPk3DB2ymnelSGAnNGs0WppUtLpKOm8noSzc1xzf0339IKMO6XHAi8CJkdWPidZ/aJnIx478gU7KMNAM0nWqZeGxvQ/adL8V49bSVGb5ReU6npVWodmXTOpJ1CM0I2NeQRgajL2BVodPA+IGBikfKpPIKNfwHzMOtv32MjAaZsVQNgrhc99HV35YijzPf5VO6s5OK+5OH/m2/r5bTsreTwNeXrsy5IHASo5AOMj17Q/91tOXpc7eneJrZ/+RyS2OLkH4gYnD6f0sPYpZYdntB8uyCmFTMIhvSE7xMBePfmU7JVs1NPPROeUqGsYTz4lfa3XASbQ52QvUUIIYMZhqqtdklMlh0ZOD4RGf99Z7dubfg84ThA/ZPecPPVNJ0bIhIKwieRRACk/9HHtWvyM73t2GT2/6GUBYUKTbD8CmtOOcuhzV2YZuwsdLOTlhsglTbDp61dWWiFbVq17qtXzEFsT0jUnnXyCkCB7jKBCyM4CsISmt4Hsg+hbnZv4O8NJPtkzCDDmge/DXEBwQZTRa5NTJ9PTm23dukzbuCHbsjIbNC+LkvcrslFkaH1e+v+dJJIPgPQbft1INIZ7CCP+zf+uXtWc6bXnZc/PnJGtPYEjCJlxQbpkn/X2UUrequ/O8eaZtn79Du/18uij2+3hR7bZmjUp9thjcgbXZtuWLRXuoFKSTRQacBBIrTf8HilDJfsbAg+b7AG8pHXzod95niw2sgLpoUbJBv4Kjj/9RQAQlMEReSfbaPVkxj3yKfYmBqcx7pUTjc2SDauj3HBKvghR4C69luzxad3XUdmrc/rcKwJGT9rzslccqf3KK6sg4c033/Dx1ltv+XjjjTf8+ddee81f+8wzz2j9LulaK05wEfmGzNq8eav8i03uJG+VrUpNLZcdb9e9LHiAyO2Uk1qfcPIYUstLfRO961bIiqQ1BZmR0sWx1Jb5Q+5Y59Whv/Uc688+cHJw31seeMTpJ3suO6dHAKZZe7zBiSf6iGZkNGrNWr20ESIMsEUpZygZfc33IBl2XkLrWS6JdhjypyinBSwsLr4qoPeE9sp5JxJp/VBTO2kFBV2Wxome6QAoZKhGPiCnRHI6ZDL4FvCWz0WpIqW+A4P9/tOPle/W6CJjk+w/KgxWZBshuZ95175CXthbsXVHLEnmeeZiv0Ap5CEZmxxYgDzRmPuxxzLvElv/Ch7vF7G1oL24uOeTGm9o/1LB8Hntka/8/9j77yC9r/S+E63ylstXLsuSZjR5mEkQOQMNNDrn3I3OQDfQDXRAd6MDUiNHAiByIsE85DCTw4nSjCYqjTReSVfZskYa2bL27q7X3ruWLd27e/997vfzPL/T7wsQFOUq1tDcwlt1qtPbv/f3O+c84ft9wpF+RHaEaU7/uvALVTA/ki+OncBuRRDm2vW8cQ1drd/Lf78se3JJupyT+U6d+CU7MPuK9t8Vo1k8WSePzmePb5QuGvf9D/CnOfhugesDs1+S/yg/isA89vLsr7mex15d1DVd//r4bWG++HrugnDWOapOfuD7m35M/dKnXR0HrKVxwirL+mztqnr5wIUaayXPG6ykuEIYKpqBNzY2SMaara0tSushkze2dVtL82b5yNutU/5ef/8Jgezrsl0EZN4QhiCbjOzrX4mEBtmxx6RLIIdOgyeQLckSCQIH979mM9PPSE+ctsamEd1DsX3sF+6x/+Gf/HP7J//kn9nP/My/sAfuf9jWFhTpfsh2ntScPGYT40/J733NddqRw5RhostkB87mrwcJHH8o//82UuvpP5du/gt7Jo2nfqzf/dhu3vxzu/nkn+m9Gvqfa9eEA4W3qG7yYJGehXLHXfJjutoPWuG6bltNltDyZlu9ok3z2GXFG7bJ59glPXNSNu+K973G15nV2h0QJqZ66YhwMT5PJA18Uzbyy17hNDp80wPV6M221llhonGvzFhf1GdFBGGES8BSHEYSp2fu0YjTMhl87yc6N+6SXZj2YI2X8ZVt0ui0yiqyxLfZjrE90sMntCcuaE9e84ALCQJfePEF2aIXZZ++GJjq9VftjTdeszdff93eeO11e/3V1+xVYauXXnzRXnj+eWErEghuuL2CfEEHU4bIyb7Lli33sWQJJMpq2bBCK1hdb1UVA9behh922glbTnfcOfmizex6zYnjPXsJslDmC4FMj1ONvW/b3j1vBsYR5gbbHKME97DW/pBs26xkc7dkdZJAzEUng6urdlpR4aD8m026H4iujcZp2mRzeeWSj/bI7CrcJHsy7PNHNvaw/EOynemj5wEY+YgE+Y4Ln3tmJnYT26B9DO47IpuAb0uGN35Fk+a+iv6RBa22aH6hPXj/Ulu8aJU+J8rpIbdIJqBNQ2oFk6plCMCQUJCSChiQXmNjVMSMac4omx+V3RqVzzEqezcqu0cbnh3Wq9HZSWXMFvmim7T+HcJ3jfIzK23duiL5wQXSMcvlP8yX7/Wg7Z/dn2m793/99ImtCZjg1+S4CNAe+WU7eUKg2jO1fiildqvCRclevyGAIKF98gkJugQ4UjIjLRPgAFBwhxknFudQihuAzikTkxNPurAsXdEioN1uNXVyDrpJI7xsYxLgqalXBNrlvBxg02URDSngILV0P1LAKJ1QvjifUVbCz+fP/6ZHIXbrWUaGnrCt1Ab3nLCNLQILEk56SKxfXyOQUK7vS4ya8NT8u6qq0iqqyqysnJ4T9VZdsdm6O/Y7abNbwP/APgEFJ7W0IaVcH4fUOk8UBUf9D+zq1T+SEvtjZ+mvXwMsMf5E4w99zq7KMAWR9LsOvB5/HKfve7rfX7HDUkq7d31Bm+yUFZf02uLFBRKWYqtraBDY6dEGHBTAGjMalO6dPWT7DpyVErgmQ/UFm92DoH5VCh5SBDIEQus37SLgTvNyRUbwytXftavXf0/38fsauh/uU4OvV6/8ocDO72v+fsejRY+fE5B57JtulAe3XbBKKUbIrUcWlPpJjvMXyhkukkFq3udHve4YftKmBWZSJOgQGXYymidOfi8MkUAVpBlrhwEPwETESQpegk5EkxM3OAyAzKaWtlkrrx61tVIUlCeu9Z42PZYa+lVwjLjW0pvZa/C1smJQa9knxdtj1TW91rtpWPtor/bOSc31ZT3/Ne3Nm6F4vwCh9bLAwKtSvFK2b7xhb731pr391lu3jDfffFNK+XUp6FcdNAAsABlXrlyVITkhJTIs55w+aEsEGBbao4+ssEULN9i6tc1WLYXU2rRbxuWoR7e2a2/Tr8WP150QKCdLS3t8/6wAsQACRB8G76z2OOWrTkZqLS5rT1+59K/squTvyiWBQv3M712e9F4cZcDGmBzkju7DVlQ+aEtXtdmCpfU2f1G1Pbq4XKPKFiypk7y1eh+tuvppd6bJxkLxIisYTProQWifgCCQ4n3sVIyTcixYJ6Ifo6M3/YhfIgtkRLa2TGk9iGC0av5bJNcbPdOR8s3enk1S8Js9DX1LP/2Abh9bHTz09G6ytvZerfsW29g+bv2bj9nY8BXbPf0FN0Dc08nj37UzJyH4ft3Oaz9d0F5if1+U/FEKff78j+b2Ffsfouu4dMe+XW8ISF2w+sYx++M//nGm8e6+Pqqvv/u7/0vGWjKEnZAjQ7aIO8BOan1PTlYQSpA3ibTxAMwTfzznlL57BLkF6UVkNsgVMlp/U87095zcgkijfIB+CJQ9Dw5ckPNwU850AG2AKiCfewDIO1BATnWduJcckXRFjnLKjIJMIctrWsCHxvPoik7pDAiQSjlvBQXNtmJZmS1atFY2gfLnlbZmLVHM9bauoEyj2oo2tMtJnTBOPRobe9qJiERqnZQOhmSIkgrpD4IvPi/YpBzRx/zwPb8Lcos5CHKLOWUeABjMNYQ6z97VdcjItiHDhr5Q6BOcbzLXcLb5bObCCTWfB+xQWhM+X+PGH7mvwOd6QMx9Bsg/2XTNH8136d955OiX9VycLnhaTueUHLAt1tTSKn1fZgsWLrP77p9vn/r0g/aLn7jXy5DJfnngQcrsOt1Bh9TiYBEaJUPWcI+0NQhbnq3XnF8RWWzMAYP1w8dgDslsYK0pLeJ63jey46D03k4ntzg2nKx0yusoJ4Hk4iRAP4nRywxH9bth+RyUoNBQvUe/3ySncrv22B495zHtu3Oapyse0X72uWeD0HrpJXv1FUCCgAEAQTbrTeyWbNRbma3id8lWvSjQQCbXtWvXBNQek2M7qXtstMVLltu99z5kDzxA4KxITnKn3xflhxB1ZFZB0ERmQBzMkPrYzQoQHDxA7zr6sWGvgsxKe91PCdO6Qdxe1pwxb55pot8zd+xDCDDAGLZkaOiGNTXtkz+2Wfu6Sfu8VsCF/jBN8i84rn5G8/uY5OKG2ykHdvvfDlnL1g4i2wlJSDQNvk+fkTLsKBdmnTrky/GsNOCn+f6K5WWSpXLtoWr5DAQ5E/jmxC2Om+/Q2sbY2NEuR79Tf++Rzduq99Az5pANbb9kHO1PxiZ6ImQuSn296bRnJJKpr5ERxdwn9+gkl95PBtwu+XFDQ1esUXt1zZourePdUxE/7NcHQWzNHnhFvtnzwldfsMmpl7Un2Sdf17r/inx1/D2C88gOgfFks0I3oxfDbuXGDdeXYAnZEwLUYB6C+qe/oz2PnZIf2H7EijdQzjauPctpjBxqcsNt2L49b9ghAoSOFQgMhu7jHkLvIb/ZoNIk+x6yC/1INhdli7SsGdp2Vb7aY0aLjcaGcWGmHj/8aP78tdLJq2zlyrXCWYVWVlIifccJ4hXSffRJarSa6k5rrB/0Et0tfSfkV161mV0vOgHgpZGA/oQdHPPp8y+A8yD09Nx8f04yJVxxRjqZEs1jx74hu/eG7u1p9yE3rOu2z31mmZ/o+8lP3WdLl6+20vJGa24Zss29h21YuA4fAgLESxCP4vdqTeRjnhO2Q2+RBHD1KvaKtfhTewJ/IWVqPfNjjb+wZ5/5Sx+QW/wMuQUW5r38z3Wt5VXhvkvgK+kAfHx6eB068LYwwWXNzTZbvqTeliystRVLW614/YA1N5D9ecY4dGRS67Z7t/Qv2EpYIWEriD4w8RnpVVoIoIvBVMeOCFPNvKo1f1J+9zmj93RD0y4rrxx1gmtDCQSXbFTlVq1JnKJJCV1tDf2jZKv01RMEqgi6DMmW0UOLEwPbZct6hNPGbPeeQ3b8JMGXS3q+G05OkaH10ktfEK5KhNZrskuvB7Z6G3yl8eZb9tYbbzrJ9dqrEZAhWPPCCy/4NS5fvizbctxGRkessrrKlq1YYY8uWGzz5i+3hYvW2apVdVap+9lIxnzfac++3gGptVOYinJfMoj3vqmvlMxDbr2jefuK1lfzduSbrnMfO/VdrbGwBC2Dzglvnf914XhaB0kWKL+VLJ2ALKbF0dQLtn3wkjDNQdn27fr8Tu2jJo36rOy3wRvPk3FHgKur87C/f+f4U7JX+IYEXSG0CALp88FUp7FZ+ixspwY8y2mtG5jrqNaOPTkgjAUx2SIMCW+xvqDVONDs0UdX2bJla21DcYnV1NZaY3OzMBP9IiG4eiXrlPySdbxV2H3QSxVJLNg2OCSflZL5UflCO/TecfkcO7XH9tjAlsO2beC43itMOHRGeP6cDW/HFyAh44gw+R7ZvR3yRzksRnt0+Qab98hi7zv9iU98Sjh7KtN27//66ZYi/sX/6ql71Hsf0eITWQrnXA7xHKmVFO4fO1kDG026JXXFMNRP5Q3AQjTRy5Fb7tw4ufU9O3nsq3Lkn7YuAfHG5hk5Doc9dZwU8vGJF2xqmqb1ECQYANjN79op3c8Z3Q+lc+fp55UZAgBCblBOAjnzWw4w9sqIjEq4B7acs809x61dYKGmctCKClu8R9DK5evk4MRxo9FUtdAK1q8zmoZTO97Rtt9GJDi7pqVwyRjJ6q/dmZIiCWNABBqyKOaF537yCeYmG/r+Cf0O0EDGAPNBBODSld/x0kSiIGz0Y8cp93hb6/CcHLFTmpctVlvfZi3atD2bNtnA4DaBlp0S3v02teuETU4TGUd4ADFENpgn6uOJ/hBxllK+JEOpuadcFHLtxhOMDMygpLNBii31436ih95P2eT5iz/UtSjJ+aqc3KetrnHSlnCi44JKrzmG6e/D6fQ0yxekeF/V/gHgybnz5pMS4DNy7mQIyahjrgLoAbDYUxEJOn/hN+UsfNvBIUfLbtl60UsOWtr3W1XduK0TaFohxbGUxsCrm50hL1zXIaPVFWN9lxWRIqrfr1/fLGHv0DVGbHb2oNbpMe27i55p9fRTT7vyJKL98stEu19zgAAgePvtt+2dd965ZXzpS1/y3wMaEmBAAT///PMemQAwcEwqTHhNbZWDzoXz19ma1U1WXrbFGuomrbP9oBTISY/m4rRyKhZH6E5OveSKd7/3A2LdMOKaK5c35ieAAWtB5iOEKGsYZb+AYzIbAA1aJ+11+t6d0hwePPymDY9dtRqt1fLV7fbQ/HK7/5H19sC8Int0cY0VFG4WkOBktLN+L0QHcP7nSK0swuwEgeSNSF6MBBp+4GU7M3JqhofCaPb2crobfcCGBOg6rKS4SQqw0errmgUA2qy9baOcF5pfR8lvDL5vF3DYaBzqUN/YZvXa7+1du6VMzztJylHLRw992Um2IPxkfORsXDqvfS2Zu6r5uerzo7nQ4KSai/odzTpxgs6dRdfI4Tv5g4iOyWn6q7/6D5nGu/v6qL5oHk8GFRmEEOI4wmQ9QaJAwAAesTUp4g04gLiBvHo3ofXuEXbrD51cQQ4hZcgEgdAhWwQbRW8L+vmkMkR6cgG2KbVOmT+erQVQcPuQR2rlDeT7guwrskUWMGVbHOLCCcP0CiTbp0K6ZM2qelswv9AefnixBinpC+XkEMEs8kwpsm3oewKIh4Dwg14kNwBs5oTPcFJLn8fn8nzupL+L6PvXbg+ITvM+7CvP4eV4cqKJMpKVdkBzTkbY8Mg1PwkQoo+5IBuHTBqy1sjOjfXIyjnyCLUg03LZcrE2iVwMWxl2UjKt++YaZLwclS2a3fecdO4ZPS8ZRpussanZVq8psEfmL/HjvH/u5z9t//LnPmef+tQCOYD1RsYPZdSsFxk/lANA0HimVgaenPhz24RfEUQkaxa6N7LZ3GajX7Se6GlIzN2aa6LFkGY5cosy6HaP4q4v7DJOA6RkwU8qYwhQFBf3yuegT2WTAATHd49q3Q5o3k7KVp7Tnr0uG3NTtuY5J7Qgql5/DZDwhtskbFMa2Kovf/nLczYr2SuyuPLtFdlf+2bpU9ltS5ausYULZavWNltl1ZB08F7PFKRUPnqAPO22gTVmIGcQUU4GZsTNHGEpPyO3t1KWyR+6r+PEZTZYd/7Oe9mP7CnIpxn5VkTdy8u2e8bS0iWN8sOwU7ucaON+yLDj85H1kDP6xGGjsE2RieiEpEaQSEEg4cfyP6w7JcWsE+WfnDRZrrVYLblauiRKE9dvoFlxnMYFYKit48StBvlg2kN17KMmq6pu1/dbrbV1RjJ6WvP0lDcDZy+x5ymBZs8/LiDOvTjBh+xr8NWH9hC/5355H++HIDx+7FuuYziwgNL/X/nW/5hpvLuvD+v1QRBbe/a+aCMC3hBb6AvIT/Z9BOrx1cPfw3+5guzIXjm+eg/9/ORNfg/JEvKFTEFAnb/wQ+klCJNv2axkZXDgqvV00x/pMYFT+g49aTPyO/fvfcuOHPyanThKVYBk6DEC9Jn8QBqxP6Wrfd8KT13R91fR3cISl6T7CDbQXuaIbMzOsWdtm/z1zb0njB5H9AZcv2GjLVpS7L0PH5GtWrJokeRsmXThav1tnb6WyE+U3qsetO7OgzZCMITg0L433bekZD18YcjyILN8fvyesJskEGjo+8uXsJ//o+Md9ABED3qZaoP9e18TQL9qLfKFV6yotUWL19v64mqrrt/kfiY+OXpuxsvRg6w/IWx3GkL6LEGO33ZCDx8z9Flms7QOc9laz/yFPQOh9exPYuj7RGzxHt7rQSNwn+457CnZv7/p1UdHjlDe/gXpv+O2alW7LV/SbKUbtlhr0x7HVtvlC4yNP2fTuse9s+/YAeHPw9K/xyD0pX8DD0P6yXbpugyCvRfOay+c0RrJVpMNTjN4DrhpaZ21atnDDaVb/OApms0Xbuj0RIrSss1WLttUga0q6ZcfT/seyiK7ZavapJNb5Gdssm3bJ23/gWPau4/reS5rnz4RpJbszEsvvWivvCJbBaHlZNZbczbK7ZTbKn3/JdmqDFslewXBBTbjWlzznOzg5DS9vOqEOZfbw/NWGScbcmAZjdpJVtk+eNnGRp+ySckW/ZxZS8p9ydrykt89b+leyaTX2mrO6PtNxhw+IkkwVJNdluyQ+BF4i70fVVWepXgesvB7dur4NyRTr3iAhMPwVqzqtEcX1WpU2aJldbKj9KbcIVk7KlxEqxTZqz3sK/zCrzqhhQ/Jvj4DnhImdpuFj6hB+4VztAiCnJRs0YdtYvwF4auLXhba2rJbdmnA1qxpsPnzC2ze/BW2fOUaKyottYqaamHzeqPvFicmgqu6uzt0L5TXdwlL91gXlTDtfda2cdA2doxZT+9eGxg8YcPD523nxE3bs4uKGHrU6n4P0vpJGF62iK9UgXF4xfSUZH3wceG5GSst6bFH5623j//CvfYzP/Ozwu1jmbZ7/9dPldj6y7/8D65YonFeOA042+GUQiAlh4WIQSjcmzeDtX7qqR97bfHTEma+8juEGlKH90YEGOX7O1rE37bzWtjTp+QgS8HPCBQMDF6SY3zaNsuZ3zZ0VZP0nE1NS5D30juBkxjlSOl+PFuLJuyZA0rW05wCdsczBplHMON81mNS3LNS5GOjTzu51dN5SIpu3KrK+2392hZbtrRUgGGVNgu9J5Z6r6QVKzZo4bqta+OsDUlw2KQsOot8LHPqAC4xN+EE47TlGyPIPif9nOhLWWyRERDGSE771d8VEBcAv/Cb3isM0EAq4j591uROoozHrb1zRBuR7KM+/bzdRkYmpeiOaFywiYkn5aR/0fbPflkGIbLISNE9i6KTQXByBMJN64YRjIjPn+heGKyfFPQt9xZrRWYZZZMYSxzE01LAR4+SIvmM0Ri2rGzEmht3e0+tQc3pjpEgSEirp4TxsJT1MRnXEzTA1HNRLhpGkzVjvjSu5EhJepBBbj12mhLIdzxzcMvAJQmkFHE7injU1gkgLJECWbS4WmCu1lYIsKxc3mirVjTKaNbJMa2W0NdYfUOXn6Syb/8BrdMpGb1UyvG0K14vOZQCxelHmaJUUbwAg6985Sv21a9+1Qff54MFwEQit1C+XItoOuQW9eHT0zPWWC8gs7bOimUIaHiL8u3uPCzn/DE51QEYAJ70aMPBoXn0EYgkKTyfJ+1tV7ZSruwP0pc9apcIUydNY/AzmQ6RAai9rv+jJJe1goicmnle++aQFHCHPTiv3OYvrrW163u8Txk1+BztSxN/+npBatGjBDnzaEYGzM/J+JIVFgMFjMGUsn/81z3aRBPUURkVSlcAtxs79goEDFlJSacVrq+XIaQWu9JqqrQu9AUSSIiS30ZPS69vqDNqxSsqm4zTvrq6ZuXkXPV7oqnpMcnCqRO/LF3xXRmXX/N7CELr9+y65P2GZO4JzQERzeva29e0x69KtjiCmQxKInoXz8kxOqs9fOpX7diRb9pf//X/kWm8u6+P6ouMLRxS72s1+5b0DaAyK3fLnGF0XxA4fyQ9nIiTfIAQw+3Ubb9z51XOKHo6n3giWwlQ4oTO8A0nSvjK6YyAbs/WkDznE1sQbBH1vTOxFXbxd/0zcHhwromqE4UkWuunvdWOWVlxl61YXmmPPLLKPvvZh+0Tn7jXPvuZeQINZQIIIw7YIZY8W8qb1+PIEZn8vtupuIccqfUPEX3x7JG1FY54EOf0xwK8Q5rRXwmdD1iibI31oNeSgzYyeWiY7w4kAB/gFuQen31D12eO7/TZaTzhJFfuPhLBSO+zo0e/ovl+1naMnpRuHbOm5nYrr6y2VavX2wMPLLBf+Njn7F/+3Of1/Vo565SLHXDSj/LMiHxHXy3K2G4laMJG8cysC59LpJ3BfeQTXNwPgIIDCnbLgWUO6BW5sf2Ak1v0hqKcbuVK2amVslP6fi0nLRW0WsGaZtksTm6slTPcIfAypvs55EGY8xfO67OuybknCPOc7NVLXhLvpJbszzt5RFYa2Kpkr/JtViK3UqbxzZtPyUZcsoOHjlpf/zarrGjX/HBYzw7vTdkrIEW5H/M0QfBlJ4e/ABjikIb9B97R/v4lJxgJdiT/h33FnDA/2CbWLWTo3SMy8yI4A7kD+XTi5K+4Q022X13dlOZum2zEbs+w4n4o3Xc/R2sGaRqZmUTVs8ArdmnOvwgQzEAPJJvInqX3KiU9/VvOyNE/pM/gZLEtWgf8ikL5FWsFLjmVq9CKi0usRKChtKxcoI/M/kr9rslqaznp8KB8sfNOtkGQUo4Z+ygOqgi5zyeRbyX6Yh9BcuFjBdBlHpAZZJboPnv0N3/zzzONd/f1Yb0+CGJretcL8teft2l8LfSOQGuq+KCCgSC96xyCl5BaidACQwg/3HSMpfF0NmSz8N2RM/d9bghPXJNOcj+abCAOJ4mMyBH5Z/jSWwcueuYPTexdTx/4qh0/+i3HR2AGKk+4j5CdSBC4kk8iMSTjl/m75IwMsTP467K/Y6OUvZ217q7D8nkn5c9JpgoIgK+ze++ZZ/fdc7/Ne+Rh4asltmzFWltbUC2dM2C9vYdtdOSq7KlAtXxQqhZ8XshkcV8Y3RK6OLAn8oP+0DNnXwnGg3FC3uMAGHSDk8QHvmZ7Zl4RPrkqgL/XauRjltf0Wn3LDq3pMdsufTNBQF7zQWmfB5j1+QR0E9EHZiW4gQ3A//Z1eSpHbD0DsfVsHrGlkU9suS3TOqH3mEvwDs/luEo+AiQc/Zamp56xJmGq8tJhD4hzcNTW/vMePJ7Y+QWb2f26MM1X/ICBY5Rl4mNAauk6EQhnD/2OdKowVab/+Bwn9/X+2X1vyF7elL08Ixt10OoaJr1/8ao1bbZcGGrOPvloswKNtatbbc3qFlu9pskK1tGap9uGhqekh4/aqcfO6DMu6rmErWSrgtR6ybFVShZIhFa+jfrH4KuUaUxp4pmzZ21ympMEaaFSaZxmyKmEG1sPeA/tYflJlNdOao6mJl+yyakvelYk1TBkax0A12AvpJ/JwiNb7tJcwkduX7E+McDn2lvCFkFECp9iR87h/3xHsvtlXf9ZIxFndcFmm7+oyVat7bTqmjHr1P6nrym2c88uYRjJOkEYL0eH1NK+dv5CaxYcRgQbXeZkL5Art2OyWWRz8b+jo8/KrzgnbHTUWpqmZLMlW6vrJVuQW8tt+ao1tr5og5VVlOkequR71MquNVhzc6NGs75vsYamDo0+a2nbYT2bDtjg0FmbmLxpe/a+LJuO/xzZz9j1KPX9dckAWZAcAMghQt/XHvqOcx+cnrp31xe0l65YZ/teWyPf5mMfu1+YfSbTdu//+qkSWz/5yX/UJpBDDLjNWOtzRDHlNDDxYaBzkVYENpRt1BQjzGn477Imet48T5vFAacMeShFSqh+1U4d/44dkkKJUxOv2CaauUkJD0sAd05y9LY2pqe9S+FxWoecKRRebAo2RJQJhOILJXzlKp8DsBVg0HsAw2R77N/3JT9BZPPmk9bRvlsge8xK5XzidD7ySIHde+98u+feB+2hhxbZmlUN1to0Y9u2XLDJsedsnxxXZzF1H5GtlYsmMDdOHqH4ZJACRGlubgapddNrrjOiT78HTAS5JYddxsgzoy5oIxNpkfAdleJCIGgiNyqQTxPFjZ2D1tNL740RCc5eKbuzDmIQ5H17iTxzRC9kJLXy2fxI0TE3CC5KGVKLSM/Npxi6v6dTfTiEpO5vjuDCWAa5RRYMgodyhOg8RnRBDuaW/gu2qee0FMsZT7mE2KIhJc35IKZIuTwuZ5WIxBkBIgQ5CTHKF2MVA+cugAIk2sWLP9T9U/bzZSe3tg5etu5eyhL3eNkhzcAXLa6xRx8tt/mPQEiW2aKFpbZo0QZbtrzIqqqbbdvQqM0eOKjPp5HhWSmnK1qTJy2Vc+DkJ1IrZWklxfu1r33Nvv71r/vge0ZSwrzvTsqXa9P88Mzpsza1k5OPBq22eovV1Y4aJwpShogxob8BZRc0vSWrAfB5WMDqOBkDGHLIP0gtzU8AqlCyc1kVGulr2keQlLFW7H05I5pfIjZkIFDDvWfPywIrp+RkbLKCwj7PuOvuORqngY1yIodkjJ5aGEz2kABpIpCRMzeYrJsPGU7JEyNS0inRIsvuTYFaouGXbHMfx9bukXIdsRIB8TVrq2UUiwXmigQK4kSTcgEF+gOVlpdaUQknRtZq3foFNA4IUF2L/iSzX/Hy41MyyKRVk6qLzrikPU307DoASkboSTl1T2q/+lxoT3vat+bnuuTrqvTA1cuaFxkmCC6aVZNx8jd/87eZxrv7+qi+vMeWwHYqJ4toWJD6TuJIDtApLkfsE5eXW0c4pXJIs3H735G1cEYhd+Q0S4cRbSOrdr+MO2QWJVschz0kwOBZQHOnDn7b3wvIdVJHspPux+2onKaUEcXgb9wzn8H/HDr4FXdC6beFE8ppe/STKFzfaosXFdnnP7/Qfv7n77VP/OKjtn4dkTl6aj3hJMTsPk65SsGp77vuxlni+nyWB2DybPidhjvishnYDgAX5ABEndsAOUCUPUN0QNIzJsajkTclapElRuYcYCnAScpYw+Zx7Tt95nsN7hN7yb0zjx6VP0UA6G195lOa/4Ny4PqsqqrBT2hduJBm9o9ozJej3mb0uSLzjZP7uNc4uTIjIbMgVRBbWXad2/NYq7jfHCkTAYWYF3wObBp+AIQnOp3MLbKeOFSgumaHrV/fZcuW1chGyU4tKLMlS8pt6dJyW7a0zFYsL7Xqqmbd/6jt23dQ90EQRkAhC8JEZvGLbmtS2WGyVWlgl77xjW/MDexV+lsCDIncIqDz3HPPa98BFs5pnU7Y4LZJOb5DVt8wFsRW70ndz0XtpevS6Td97BTwC1Ip9jYZUE7ansMHCx8j9lUitd57X8WIuczJVpC6ONXIMoESDg9izbb0P+7BIM+y2x3EmsvXySyjGLuAb5ERA6xbrF0M9jz3iA/LGh+Q3NL7DUKaa9O8nz5n5SU9HhibP3+NfAt6uXAQzHL9bpWtFHBYuarAg2ZVlQNuP4eHrjjph6wFqRWlvokczdc/ac/fuo/+1INW/D3nE0fGCTaKzHv84h/96K8yjXf39WG9PpCMrX301npZcp4roSX44XtmDl8Jw8jnRjfjw3jQOUsaeOppMFX+CLILeQp/HZKHgB5BYkgTeiLKVglQE0AdEVbYKv23TfppBxlK2KrZLznWSPrPM5QyPJMSBjxbFT9K2AqQzz2S1eL7VZiFEq6TJ/UZu152/dorX71Nvnpd3aiVlHJCY6Xdf/8S+/Sn77NPferzwliczlrimZI9PUekj69Lh9MHMoIMZCF59myGrZxUEkaKSpM/zpIGNIQpGTfAlsgSugSiXO/ncDO3VSe+Z0cPfdN7NM9MvWAjoxesd/MBa2qbtLau/dY/8Lifcjs1/ZLtpbzaK4OitJn/9/LhzB/n+Z3Y4vN9XYTtErH1LMRWjtRKxBa4KkdsJX2XI7YgpPCzU6Bo397XpFeuav5kz5r2Sv+dsIEt0sXD6OAXpf9eF675ijBD9Jr2w9ykb2LN0De5YEzg4Ey3aD3JBjr92HftkPQnWe60eyHoXdsw4e1kli5rtIWLqDihpUqlbJTGkio/dGXZ0ipbtbrWamo7pYsndQ+HpXtPaw9QfkhPLVq70CA+qmDyK2CSjQJDJVyVPxK+SvYq4SvIsWj58rT23TXticdtZtd+a+sYkF0dkD806U3tafxODytOw+UAHk7hH594UTaek7LhDr4qGcjLWteapsD4Nc0RuhmcNYfbswo0vvr+ykgun0vh0wsX0dEEH35Zuv9V4bqzVllJtc6k+2kEz0blh01Pvmize0gSih6QcwdDnP11rftva19FAIa9RZYmtsIJtEvYgiAkfc3OfN9LKoeGoj1Fl+wV7SbKSjbZipU19si8VfbwvMW2eNkyW7tujRWXbLDyimJh5XLdV7UGPcLbrLZui23cuNu2as+PTzxlM3slc4fe8aqqINwoZc0v9eVesJ/4OL+n38vvepz9+uta++97Bc0h2eo9u75gw9sel2+6RXNyOdN27//6KRNb/ynSqTOH2NlNgUHYSlhgFhcF446pFn5OsKVoYa3naowZ+h0N9bwkkawtbZKrmfK5qMX0rA8c1JM/MMoeae62Y+xZ29R3XsrnrA1suyalE1lbUfssY8B9SVnnMrZuJ7aIAqKEs2yoy9osEmqcnoj0ftf2yfkc3n7ZaPTZ1DhtFRU0Lu2UM1xu99y72D7xyQfs4YfXWmX5iPX1nrExKRVSdzmaNzYpTQzZCFmpH0CfyIYLSSYg7rxBbAWpFcRWlsmm30F4haKLUgsHTXoeLyUTOCMF8eCsgIOefXTkKevrP2ntnRPW3rVVDt+EN9MeHXrSJieC+IuMNtjW79sZrVlEgKTsdF3mBeGdizRkSpl1uxMZeaux/CM5X5SCAGzkGEooqcc/rLXgxL5tWiOY5Gg0i/NJSi/gjoytb3hUgfUiqhDlmhFRCEIr1uxWJUyk4Udar9+UEvq+nuurTm5tGThvnRJoSm3or8WpkfPnl3s0/p7sqPmH5y234tJK6986YLv37rWjJ47pc0/r8yhBvKa9eDOr/c5FFMjUQpkmxZtILQBCvuLNV74ABf4PoHB71ta5c+clP8c0D3ulRIZ0vyNeqtnZfiSIrUHKEHEq5KALGDoZ6URSRF4wyGnN3MFhzTCk2br52mXrN2cw51LSKfVgHsOQsTcxfGQT7Nv/uuTpkozCYe2hw7ap/zE5OFeycsgv2q6sHJL0Zj+cQQo4V2KbRcAhHX3I6fGhfc9BBJdInf2ek5njE896L7beTUdlnHdbfd2IFRd32apV1d7scdmyNVq7tcbpJmvXrrHV+rpqXbmVVm6yzu5DniVAJszs7JuetUjPOQjpILUka7oPng8SLzk6gKQ0H+zd2L+SLxyeG2R7ROSFEijfw5qTu8TWR//193///3NSa98sYJtm7dI10u/ukMphnAMK0l9urzL5mZMj7Rd0HpHWZz3a+m5iKwIQf+q6KTmjABEvSTz8VTnkL7sTg/5Dnmi07YS1DD5ZLRBtZ6Uzbwe6dxru2GCrIIxlC1xu5WyTXQJRQkkW/S+KCiFKqu2hBwsEFpbZokX11ty8x99HM3P6Xjm5dAthE2A7Pj/0yruf9daBzsFucG+uTyCFdS2cfnwEiCGel2b347LblE965oqAUhyTDlDKgmKQWpq/RHzc6fPSyNmhFASKwRpi17kOz8K8Mr+Hj0CwPSVAtUfzQ2lfnXRNqWz4alu0uNSqq4ecZCLzh1MnvWzUgQw9LyKSm1++mvQdc8X9omfYB7l74fsguMJ2c+BKkFs40Fyb/UB/NA40qSgfsLWrm23B/A1as9X2wP2c2rjM5i9YaaUlNbKhkFr7NWcntW/Pux2hZBBSi5OkbrdVCSgwkr36pV/6pbmRCC7+znsZgAWuAUH2/PMv6N6f1Bxe0vydtr2zR3S/09LXE7JZe50gxTknW5BMRM+KnI4yW0qE2JeelZRlU3iWifYIOtaBZ56ter+BbXPgcO2P/DrsU9aUptRkYnIPgwMX5dRHE/sgsSNoBrGViAHkJe7jTvKVZUW5H/gj6f9f82woZIVADEDcM+zq6A0ksLCixuY9skJgfJ43mX744Uft0Uc5ObLcy0e7u444+PSTRt0n/LrsVALjkNgpMKV70f5w3+s2G54Gcsg9OvjUXCZiC5mF+Dh8+JfsRz/6d5nGu/v6sF4fBLG1/8DrTkyQoe+9oyAmtM6RFYQcoR8lR9I31yFutD/miK3b/HQfYCvHFok4iR6+7Cey/QmmPH6WQAQ68mvyy+Wva9/2u60iS+k5L9fCx/aAOFlb6EBIYsdVQWyFL4ouRLYY4C2IL7IjKZ+S/3fmex703zFK0sBj1iF5amrcaRWVW21tQbN89XX2uc/O80DMpz651Nav22Q93Se83xe9Kcn8jYzryEI6nXxP18P4e+hhyOGoMsnJkJ5dz39D31/X367q+S9d/V3jRHr0UxDE39L13/GqoJERDpGQvHcetJ5NJzUflz2Dc9euyKKjVI2+VSnzO9kDdIvbgtuIrcBQWSniP4rYQt7pY5wRW2BS99Ehtr7u+oRDJAhENzbtFUY9blu3XJCPQQLDi05Q7vdgeGDQCD6TrYV/EckV3Cc6J3pWgoXBbxnBf55kEjLZvmHTMy9qL5yz1vZ9VlUzJLvZYYsXV9lDD64TrlptD8pWxaBcvchKy5pt64Bs1exB6d5TWvfzdvXqVWH7J+Q/PWP0K/7iFznMBFKL8kJK5QNb5eOqNPLtFX/jfSkQAymWqmIia+sJzddlfe5pm5iaFVYYl8+z09rbD3qW+nbheYJ6EIAjI89It780R2rhB6Vy9ZSpdU3reV3rkAitfP3siTrgdk9K0do5dxHZdpE8AKn729obkb11+NDbspHC6LqPTZtP2cAgCQPBGVDuC1YOzuDbdlJ287RsxONwF1qPi5Ij1uYyNgA75bIrW6D7czJS68phePSy4yRqgma0tPEDUGpHbMMGrdmSEnvgwcV23wMP26MLHrWVK5dI5lbauvXrtKZltqGw2er13k09R4Q9rwc+PyB5O/Z1t7UkCkGOQradg8vgfjj4TvPDKZ5XIfVk2y/p/i7IrlEFBr/AwQokP3FAC+WZExPXtf7fyrTd+79+qsTWX/3V/+6Oqdc3SylQhwoBRQ1qUrxzxJZvAsDBj4PIcoDwk2wEuYVwQ+rAgBKBCGIrIsCQZWRgkOaGYj2gCZqaedm2CPx39TxmfVsu2nZt1Alt0t27o6/DEdJEySaR4ov0S5zQHEmCECdiKwk0n4USQVHiDB+TUaGfA/1LWtv2R61xyWZvAPfAQwV2/72rbN2aDutoO2RDA1dtcvw5TynkJCAcehwOr4v3rCgUCp+PQkGR3EYeISSJ1ILoy4gtBCYpOnfWtcGd2II4OvkdOyagxoklM1Mvy1g85UxtuxRQa+uY9XQJxGw5b+OjnFaEQg6CBDDhJYjMDQrZs7VQyFnGgj4vkSK3KuRYO18v3WMitjAgECasN1GgUMS/pfXiJMNv2sH9b0nZyjkcuOLkFlkLI6NPGCe/cBIFab1Hj2uuSJdNhsr3EcKci/CmtWJ4Dwp3QCl1+43IspOTu0OKg9rw1pa9VlU1ZBuKuuVo1tpDWq9PfZpmwQ/b4qVrbWNHt9djHzh8wE48dkIGTsr32hU9C8r3aQcKd8rWSsqXkZRuUsCJ4Lo9awugkHqXJGILZX/ixCntV5h7Kd+W7TLw9Ng6Yv2aoyEad3ofgbecJCUqS3YUJOlZ9rOUHYrlqgxTitphRDHgibS5mRGS7yIhWSsvwyPLTuul9feIkPYEabAcB0wa+qZ+KWDtp0EpydEdMgIymLv2vJHX5yvY+zlyVOuBDEVUQcMVMOsXDs7lK5LBrA/bwUPv6HrPeFSgq/OI14RzMuX69W0Cm2Xe8HDe/KW2YMFCGcvFAhGFHtXb2HlA93PFU8IpbQRwcvADKfL01ApyPTIDwskBREUUnP2ciONb5kU6JyIuQW4hozwPPV3+5m/+S6bx7r4+qi+IrT17cfQAumGzcEY9Kqd1BsiGI/4HrstCp+UG+8b1n/QeNuu9iS05o9KhYUcgVKLxNcQVNoFm1tuk+/r6zzkREBlTeb22EgmQ3VOQS7eD7xiQNgBc3stnkB3M9emN0rZx1mg+XlrSa6tW1tvCBeUCDBXGiXI4VZQDelnmPtlKGsZLRyPL4aBDbOWyd9+PXGLgzIVtklOse2JeIcqYa56b5uvbh67rmW96aR89vXC6o89ZEIyANp4l6Xsc7jsBfEbI8b8JX0KD7/P/zv/liLbot8WzkT03u/912Ukau47b+sIW2YZKOellcuzavUk7cxeZSHEUuN8vJ1hmGVucbOzzlN0vdipKFOKeb98/YbuzvqE4fHo/gBAHmgAcc0NfKE7NrKkelnPZZUs5rvvBVfaZz8yzz372Ed1jgXV29mrNZrTOR7Wvzmp/XJK+uuGnGQaxRa+SdxNb2KJknxJAyB/8Pp/Y4v+4BnYvyhFvaj9f0d48K5B0Qnp3nxzmSc3TtLV3RPN4Tr4dzvpmcjBDlJeytt9xHcpc3UoA3pnUQhfja6T1vf3vPpc4z8yj5h75ooTogPyaRD65b0E2otYt9eABBDuxBZkkufyH5Irh+1j3i5/F/5GtskP2jz5W3d3HrKV52qqrB72PzIIF6+y+exfapz/1gB9AcO+9y2xdAb0g93uGppcd0yfJsxOj7Dj6YpJRnOYk/C5s1Hvt+ZAx/NSQe4C0Z5q4fuF0s6/Yj377bsbWh/36IIitw4e/5FlB7F0IcC+LyiOSos3LH0YZYkZsQdqE/EBmhV7MH/nkFnsMYjntJ2SCNhLsTbK2yKofn9B+l1z3CT8M01tVOMgDQ+AHyC2vQgm/L+4pH1shR4DeRGyl/kMRhD529OtOHm3VtTs7KEec8VYcGzZ02rKl5fbgfSvts59ZaksIxDQRiBG2mogm9gexV9gNyqCkh2kSn8g+ZDfI4cBWYBgSAzxBAH9Yz/+Env+GdDRtKKIcM2WsQRD/imMksruRXXoVtbUfsl4OyBiC4Hvedu3OcJQTW98KYos+TNlcMA9krkHAg9nwy5Ff8O8cjnqvtdF98l5IfPQc2W88F5lgZ879hpMdxyC2PFj0lvBT2PvmllnbuPGQcMPjTgBO0jJkF6fqxX1yj17GOkdsZQEGzdU13WMMyBiyi/WZwoKpyuJM1tdr5/QLmofHrKFp2krLttiqVU02bx7Z4MscV33yk/Psc59dYCtXllh3z4BNz+zROh2Tjj6jPRAJA089HQdxRbYWh3C94cTW229HCWLCVv+QrUr4CluVEgcSviIT7Mknk706Y/sOHBaO2iU7RSAGu37CAzHYCEo2ydji8Lv9+2nNk/xCKs+Cy+Dgrevaxze0lhx6l3QzMsR+iuol4Qgwhe8vbFb4gU4UXkcGyGgKcuvkqW/J73lL++hZ318Dnu0sHCxcldoy4DNRlZMjtgKfh3xBaklmJV8+dG9gQBJ2PCHHM+V/oGuQ5PGsnvW89vARt1eVVQO2tqDJ5i9Ya/fcq7X6/P324EMPOb5aumy1bFmt1dcOWf/mk/KPnvCkAc94xl/W/aQWQSQJgT0vIuvsF+1T3z88M/sWO3UD2foD30fnde/sO4KXlNFyEvnu3V/Uuv9Wpu3e//WhEFt+0s1jsRn8RD031uEUw5xTzuaC/TSO6I+dob7TSMQWRA7K4JoU7xWAt67lESopdRxm2MyDR75ue2bfsOEdN62797T1bIqsLTJ2aAaHAj7kJyNKoFE6SaBdASfle2diyx1hPQefBctIdGF87CltkBN+MlxJuYR6bYvNX1huSxc3WF31TuvX548NP2kz2qAoX6KIqQyRlMIzniqbbU5tzHcRWxkZ4eRWvrC4oksZJUFs0UDe6+KJQp/8tje5hu2dnnzJHXGafHOsehvHy/cct9FtcjjHOeI+Y/B9zagLh9jSRtWzklET2S0JyERmSyhiIkAQkplCTuuVZyh5fz6xlT+HkG9HD8PUvmo07du8+Zz19593YzU+/pzW6zWt15ft0BGaxwdR4mSb1pxsnzCWEFtprbKhNfTmlFpXSE96eJw8+StyCN6Qwrgsg3kkGvOW9dmaNc326KOFfqz7PffOt7LyWts+PGJ79++zo8ePaH3O6LMu6vmv6nmelIJ81ss6AAqQWqn+OwGF/KjCnZQvf88ntrgGJBnEFqWIRC8SsbV330EbGZ20js7tUkCT1qt9RhkijsUezZlHnbMsk6i5/qGdY25wGjQPKJUgtbQOKFfIGvaP1usprRfj6Wf5/sf+d+r96UdD35rrkjEiC5CapLs+fvaHWq/ve0Rs1+6XvacAGZEQx0NOHGsf7WYfZcSWZyOyXgJ5+v/k3ARwCBljTzGI4rmTg8GklFYOzoFDX7KxiaetT5/BUbVk2ZWW9tnq1Y1+msd99y+2e+55wO6/b4GtXUOzw122VcaA7LE4uAKiIgObNDQ9q31zPj9jFCcHwBDZWnPGSHPDyBF+f+6y+C5iS4blb/6nu8TWR/0FsZVOIMuVIZIllJFI2rehY8geKE6HAAD/9ElEQVTYuhOwDP18+9659T3owACfXC/AQiJUvuk2gawtItX9/efc6SDDhcwSnPXILKEXEeVSidiP+7rTyLeL2F96pOyjR4ocW8A3Jwi7LK1qNBqir1/X6+VjkBCpgX2ak0QwOWEj3ct1+Wye5b1IiDT4G/oYeYeM497JSMGJwTGC7BiQPtu+LU4ioqyFPmcHD0HmBeHgwQzpEIA+zxbr8O7MOYavQ7YGTjJKv4UNyn9fkElpnlhj7x0iW0RK/PT081qDU7INpOjX2YoVDZqrfqutpcRu1rPeUvNkPwHWS8GDFEUPx97Jykbd3wmihPKe2++bn/l9Wjfm1XWL7C+BLyLvrFln52E/dr+0pE+gocHmPVJgn/n0PLtPuq+iolYO8A454PsFKE/q/yMCTsNcbAoEFBFryKhEbCWiCjuErbrdTuUP7FV6P81638iILa75VFbe4eWIx0/a7r0HvCRx48Zxa2ndnc3VBc0Vp32SQRsZFfTBOiVAzzyxp/LtOCRN/hwx8kEfX0Mv3/oen0ucZl0nkTsBxqM/EKWjkFtkJBIZ9/5xsp8QSn4vTiiljK1b5Wmu3NdBeU6+2JeUCu/R9SHvyOZr27jPamqGPcN42bIKe+CBlfYpAbtPfWqJ7FaV7NiUQPs5L3lxEjfLSo9+lPKVdU3sYJqT1LKDfZv/vLfua/nEur+Uhch+hghnP3pWpPzOH/7w7gm+H/brgyC2jh37qpMSgSGiugI5iozWCHiAIfD98oktxw7IUOaj+3hG42n57RoEy5ErDvEi+xFZdP2Y7XN6RZH5jo6k5G9o+Lr8vzPuc+3gxDbZKkiAQ9wXYBffT2AafebBcclV7Gl8vYzY0u/4G3JHs2v6152gPF+2hxMS6btLb1n6PhYVdfsppwvnldqyxXXWUDtuW/rPuBxRkUJ7GLJa0JsEBjzI61iBIK8+1/3NrBLmCcnPk0FqeT9nf/Z8Ykv24QbEQDTRh9AgYwsSm5622OiW1gNeuUCAl8AMxJbjy6x8PxFbyHQqh0zJC8hqyvLBRoLxEr670wh9l5/EQC+wP3AMRNbO6ceFRzV3VLbQBmSv7mFK+hYctbH9sGdt9fSc9ExjekhR6cGzeMsQ3eMpJ7ZSADoRW4mUkF5lyP+FqEgtZaLVgTDcY9+1g4e/4n53p3yLGtnJwsIeW7q0xu69b6V9/OMPeYbdffcs8EOgduzYKXvJQVzYqsf1LJeFezgFMZXM07cYW/XmfzOxxbgTsZXw1c2bT2rPXRa+OKNnP6K13K09LFvVNmXtHQc8U2pwgAbyZBe/EmtJEorLWeZ/ZT4QJYj05UVWnhQGv5lXeZaSdCCRkblYxyC3sFOpPQ+4+hJliZS8nkVf05oCcusZx6mD+EVaL05nhLc4qHs5SmUOvAG2E2Ir88fI0vKKJdkokhLCVsn3uExAkfWKSq6Tp6LVAVVS7ImNbZG1VVIi+VpZaQ8+tNyrzT728Xvss5+b5615qqr6/aTRnZLz6PcVfVe9KkeycSZVvmlf3HJohfbNde1ZMKgPfC/stPM3stPCluBVsBRkNH4uc/7227+babv3f/3Uia2IYGbGOmM5E7HlJAnElh4yGel01OmdBpEGz9jKhDsRW0zihUsCCSifs78mhfptO6zJmaVviSug89beftQ2952xkdEbETWcO/WP48O/79lkvlkl1GT5JOXrkQWYT41gPgN4pwgvxBRRk717X/XykaaWWSur2GZr1rXb4qU0u+6zttZZd4JxqkiVpcaVPl+RQpwrr0Oxk553yTdmGKUbNwBDPC8KOAkNCjAG88ZcpBR8lFGUIka0jusfPvQVOTWv2uTEczY0dNUbura1HbIOzclWKeexkadsepIjuHVfGYhhzaIB5HsRW7cKcG5kRjMzlk8/9ZduOIiMJIXMhkcZR1aZnC8Z5eOai4P7pYh3fkHrxTHaMpYDcoYFdOglgJKmZt3LRzHiEiKiFJxWBxEZWW63EpGesaXPYb08bVYKiUbBR+RUkwnW1/e4tbTstYrKQStYz6krZfbAw8ts1eoN1tu72Thu9ODBgxI2yjrOuTKkXwmlHShIIgCkuEJKoTwTsZWUbz6x9cu//MtzypffJ2KL96eMrXxii896/PHHtb9O6Nn329jEpG3qG7POjn1SLuecxSf9F5KOjCTPqPDsQ6J2KBftYd+/fxRKVwo3mobmDGWs1V/as8/9RANCMlO82l/0TMNRvpGlpCfnxtNGT9FrAVD6tu2ces42c4AC6yUlvCMRSn74wC/pfd+W0aOsIox6Kh1lL0FkpTJAj14gZ6TmSj8A+slMOfnYdxz8jozctK6uk0YD4IrKIVtf2GlLllXbfQ+ssU99erE9+EChVVcOe+q6H2U8/QUntg/I2B7xbJPvy8mnrJYTM7OIZpY+jJGByEsRs/w9nQwRAwIeEsx7T0D0af/S7+0usfXRf0FsxSmEWQlDRmylflKARXQreuVOoDs3Yq8wkK9b//ZuYgu7Q2AFAocsYkAuDaQhlzZJT1M+hQ2jEa73UpFzlX9fQZokojgAtw/9jKzxGZ4VJhuDToekmiKKK5mlr0RZ2VZbs6bVCgra/VhpSsfiZEbZhLls0Eh/D2IreoUEsUUWWxAR701uSYfIXvDMqZeKE0hefvk1738HocXpxWSopRKxAPr5/VoCtP1j1gFykSzvlPF9Z2KLDJe4L+YqERSAoSiNfF1z8IQ1NI7b8hV1tnpNi89Vbc0Oa27ZY52dR2SnIvrNPQeJHi0OIruNvioQkDFX70dsMYdp7Xgva8szU2KEfsdvIBuopUX6r3zQyxEXLiiy++9fagVrS2zzpn4Bzd3yKY5Ix0W2FrYKW5KIrVdkX2gYj61JtiqNlLWVbFT+4PfJVjH430RskQX29NNP6f6vSh9e0P2elE2alSM+ZZ1dYwJTU57dNrT9uh8sstfLlcgAJKMiA3x6TpexuTmK7Nn8OWIQKLt1Td+D2NL/c53wgyJ4BmHJuhJlpscWJ5DylX5fKXuegCgNdulFEmsWey0NgGj0BUq/i33DvsTXYt25PtF+SkcbG6essnLA1qxtskfnk7mw2h55hKzIIZdtSuWRMUqnkEv8QfYf+53Iut8D+112EZCS/K73Gr6PdH+uW9y3AsB81wkznpF9+qu/+ieZxrv7+rBeHwixdfxrTiBBbHlFjHziVBFDE+trECeSA9on5PRkkCZ3avXiQWj8QsidPPIkCPcsEC2978H8E9/1YPk+6UjI4U3S3T3az2Qs0W8Qgnc/Mk5Gpp6LA0wgt9iTfmIcxBsBZwge/4qcRjYJ/SAhognCcNgPPYx7Oo9bc8O0VVdsF57qsuXL6mzV8hardX/vuOQ4svM9MA+p5kRN6kFENQ64CrAtvzOzVUEmaU40nNjKyC3Hl7IVc8SW/FPXI540EYEGZGl857PW08sp83uNpt99/Wdcn3gpovDKLGXFNBmnf5Uw4hzx6DY78CWymrK23Ha6jx4BMu7hXYN1cTlPxBZ+6O87kUA1xWOS9xOab0gPiMV9+74ku/Gy6xn6C9bVz1hHxyEbHDhvYzsob/ui1jDrBcY95pFvTpI4pgoceguxpZ9TpRTvxU8/fQZCJrKNCER3dR+zyupRW1PQYY8uKLVPfWahffzjD9jq1diqQenJPdq7R6XrHpOPQsk8ZYhPai8+cwdi6605YislDfxDtgp8dTuxha2KnpDP6XOekF69pPU8LXt9WDhqxga2jVvbxh3W2sYBI5wcSXbxi/JP6BdMkP5bHlTEj3LsSRLKJewDJaXyfZAxrUsiJx1bIVvYKg1+zscTSV8ngpLD6SBf2f+U+5JRtXvPyzYknNe/9ZJk64bmVXuc0+ad0BZGp9xXmCb5Y5Qchg0FS5FZF9l13CN9hOkFhn7gM06flp8jm0Mgkf6TG9v2yx8ct/KK/ixra4PWbJH9y194yH7x00tsQ8km7Xd62N3w/R0EMqR6tJqJXl8ZgSyb5dhKz5ZIW9+3roMyW+V+YdhqcKrvYc0rPbTRGzzjl770e5m2e//Xh09snZPi1cNjsHEqvdZ5blNIyQAqAd1StLcPV7xSQF6nigOTEVswfpAcflrNWYGEjNjaf/AdbdqXMsb6iBTQET95hia6EDl79+KIxuKcEbiI+4PcYtOG8kG4YUHJfvFaVd075FdsDqLgEFtS8gLR4+MI9HEJ9IitXtdhy1e1WnXtDjk5+lwiGvSXkOOTT2wBoqIhOsxrEBIX+UycKAkMholsLB9sEA02BnPlm0Q/xwbRXLhTA8lHmV8ubfiAHG6OvkWZbd16zjo6j8pBPiBld9K2DV61iR3POTMd5FHUEUfDQ0oEJMQShn+Q2HIigJGRJXPG8i8l5Fq3mzIYWSlXCHICdoAcrdkpgS45hYcBdgIIGAiMBum92wUcONLYGx26QEMGpkjQb3kWURwnnAM8txJbGM58YosT/ih/ecuj7ZwMUVM7aoVFMpgrq23RsnVW39AsY8BR6SjfI/qfxzQH53W9K3qGJ/RcudMQbye2UlTh9qytNBKplRQv70+Kl+g3ipfykYsXL2r+z8hZPmq7dB/DozsF/iZts5TL0CD9d6L5rTeX1l5P/ccwTOwjjGc44zLimnNkhjRmz/JDjnBwWCtXvChgvmf9gtjJKd9wbhKx5b1xHIiT7vwV272XrK2rUiqPeeYW5ZFxQmM0kA8FTNZW6iFHuS/KL0q7biG2yAy7qvVyQB7HLZNKzmmYRAK3bL0ow3NQ6zVuxaV9tnJ1kz08r8Tuu7/Q1q5t96gD0Xgy2aZ3y2jLyB48EiWsJ7THTp/5DRklyZgrX4itP7Ib18OpQNH6AQhpT2fzkOYiiNkUZQF8ZqDpLrH1f4tXEFsJ4OYRW9gEQLf0SAK00YstZ6T/8QP9l0A34DMFSGj4SpSV02vfdBKDHoM9vSc9a2tiPMie6HWFzQh7iqPsJHYmU2lwbb5yfQbv4/045RAvRNvQsc1N01ZZMWgFBZ1WUrLFGvWzk2n6G4AlQLccGN0XoB2QzJwksgY5SuB/zpZnNoqRHJeYt8jWwgnjGmSo0fvOgdHmM7bFSy+ve3kY5F5kP0U/ixyx9VsB9P3zIIjunCUWxFYQIP8YYotn4HlYC+aJZ+Wwlamp57y/35q1XbZq9UYrLqGh/IgTFvTjoMSOcgGyBShNoWyTfkvcN/rRCQpd0wmKd81TgE2fK81T3Iec0sxmARh4ZgiyICbecp3f3XPMquVfFKxrtyVLymzB/NXW1LhR8ziu98zKNp7QZ56bs1W3EFtZGSKk1H8rsZX/3vweWxBbTz39lPT2Zf/c48ePax5m5QBPy7aOOREHIUe2FhmATh5zErTmGFvsaysdegEZu4XYevfa4gO+/5rm9lySsbOy+5TjQQJAWHIiIsQWWYKcNkWWJPvNS7r0vhxpLBuV3VMa7lfk/RxRcCLtGXl25Ote4kEPTJ69snLQ1q9vNxr+Pzq/UsB8s8DlYSeu2fu7BVT80BfdG8Aw5oTTT8m8gdjK6R0A+e3Pmz8AWNcEKObuST4SeoVgJbI8qL36ve/9Qabx7r4+rNcHQWwdP/71W4kt9m1GbFGlcNWJrRy4jD2CL5NhKwfaeSPzCfOD5ey3IE8yYkvXPisfiv5Z9O2lRJ7yXk5H7BTuoXzeAyJgHNmxQ5KF8EvBN/h/P9T9Bb66SHDRh/AOpJb8MnxX9j5ZMeAWghteht37mHTcjFVVbrf1hV22cmWLFRdv8YqTrVvPRssS7W9K7zixbs7nlG6hEubcxVuJLU8YYE7miC35fBkhgU4BgHtGifQ0CQ3gPrdb8nvBRgSTR8eeiENY6Hnbddj6txCYuab7lT7R85MZnTKdE7FFdo2TbO5/RnYN88saeX9AbKbuh8oKJwKekm3wwe+ywXtcxyW8FziKTCsqI2jcTZYY5aCz++ir/LL0HVU6p622ftqaW/b6Ca4jma0li9NP+ZOPHCRkJFjgg6OPuT/P2iKgK3vJ8BZA0jOONfXZrGtgYU54/qrwyiuOCVq0PoXFfbZoaY3d/8Aqe+ihZdbYsFHYalw2Yr/W+LiTS5yEyKm9lLS/i9h6TdjKia1b27zkJw3k26nb8RV2jmqahK/osfXEEzekVy/qnh+Tz3VIunHaBrePWXvHqLW1y14JI1NWPjND5t07djCr7KK0FpKWvRBryPrlE5MZsSU5chzsuOrdxBYyFokDyV5RAfIH0tvCFO4fCbeTsSj8MjkVp/lv7r9g24eesAlv+s+akZUYlXBur87L1+OeJPtzJ49q7fjq9oP9prWiYi5KisHcv+wZ1Fv6z1uH9nJj46SXI66n19bSavvcfWvtM/cW2LKVrdrrs0bvMbAd/cHjxPvoJwoW9z7lF7GZ6J4g+3i2ZMfBTz782XPEXuzjsNXoFyqOjp6Qbyis//aXPkoZW1Jgl3xThKOH8sXBTBPgwFIK5taBwo3vnSCB2NKkUaeJ4rmgSYHYor7zMZjjkwIJEFuHKO34ojbpk044tbTuz6LgUkDjz0sBvabNA1hggb7rabaJ3KIeNfUDQrH5ZzhYkEOvBXjcwQKRBQDJV13ZTU4+583e6ht32roN3VZQ2G0NzVOeik+z7TsTW99yZ8oVv5S+EzWam8jaIjvkT7RJYHal+Bi+WTIWVN/zcxigcNBhPtkgbLZwioms6N5kgDjtgTT51tYD1tRMPTEg5rrPBUIMsRUnrMR8eM2+lNZ7EVsJ+KeRI7aC3Hr6qVQ6mpGRulc2MveaFDLG+Iz2xkkp4yOHvupRoImJpwV2Tlt75zEJ9WUbybK29uwJgQKgoYQpG/A5kxOayAqIyBBmiC3SnLWGl6gF/6Ge59e8zxbzzilkMzMv2rbtFwToJgVaem3l6horLKkWoNyse5iQUtun9xJVOK3/D2ILoHAnYgvlifJNgOF2cisp3NtJLf6H/wV0ABJQ7ETa+bzHHjsloHTAdk5Ny4BPaL322Na+x2zHMP1Bovwl9QSKdFCBBNZL88H8MgfMN/uEFFlIYWQolUvlFG8QW3OK1zO2csSWZ2zlR+3kfHjT5yNfs9kDr+v+nvE+W+2dJ6x/axC4U9OvaJ8TiQYUZ2mzWi+MZgLiuZ5t701s4ZxAVFMuslPyRXShoXGXlZUPCnC224KFNbZ4cb3V140JTJw0UuOJGu7a+4rNHtR+Pqr9DFHB59/iWLyb2HIFjP7J29NpHmIugtjini9JHjwrUobuLrH10X9FKWJkJ5FNkjKjIBcuIE+yBTngHVk3yWb9YwfvR1e7Idf1uC5OiTsZBGOkqyHXaK4N6c5e7+k+6YEZyt28uXQimaTbvdeDZMTJLYA4cpUNZIzfOXGG3pON4bkA0WSVAKrpW1ddNWLr1ndLnrZ5U3QyHskSA6AA+MkmyWUhBVnjhBo20uU4Ny8MdHv+4Hf83WVa9+MRf907PQEBANtkF3t6T/ipqjTOhyBKvSS4X+/doM8MsiEc7liDO5MfjNuJLXRdvhzHyIAb9637S2QAaxF9Hmjm/4qDFcoPV69qtfWap4qKQauvn7TWtn2e3UaJHRFx+iTxftaPrD/mi2slQi7IrZgn9EfMD6ABojyXrRW6L7KAeG78C0gP1gGdP5Bl2hWu77QVy6usqKhGoIUI+C6BmcPaFye1NpFdTIAkEVv5/bXuRGxhr+4EFrBX+dla2CzslWcYy/4BQm4+dVP+wUXpwjOyl8d0L3vkB+0U4Jt2Im5g4IL5KYSan3QSIoRLPrEV9uD9iK0o7XB7dcc1DR1NU+aYyxyxFfsfhznki+x6yCdkC3BOmSKyFXKVlxHJuuGras3SGqXhviFrpX3J/3gvK9liSGgIT8p6q6qGrVB+4IqVzbZqVbvV1U25XLPXAe2QuAGAI8gZc5KdxOqfnSO2Qu/cec/n65Z4ZiL/8nUkQ8gxhzJAMN4ltj781wdBbB07LltxO7GFfyW9Ab66KllKpEQCmBAjZAM58Na45VREx1i3+joQ8J5FLz/tXcSW9iuyNDX9BRsauebEVlf3CZcnL8fbLVk/qPvT/jsumSLoGr30AgNeFBBPg589wC3bQPYHeJEANj46sjpAj6jmXdK922y9ZKmgoMuqq8c8a9arOsY4iTBOiIyTCKN6wXu7kl1zkUCvfL65jC35fMJSEBE8aw5w8+zMk579CdkG+aTIPTbOA7qnghznpPbtQ5eFofbIF53Scx+SbJ1xWzEx/rQnEaBPsLVeqkW/MScAKItMpX7CJXPBjj8KIkD3RdkWB6OxZjduyne/iX8a6xdY70/cZyXTK9lVrodvHVnZ3/HnpwySE1Y5lGtc+Hdg6+NW3zDjrXJoGI5+8oCZcN/s7Dt2SPd5TPY9TlOX7snKRpPeod+Yk1v6fG8ALmzBZ3v1ktY0EVve22vfm9oDz3pJX0X1sC1b0egZQGvWlumzt0rfTskOHND7T3jwnuxiegonYosDSYLYetWJrcjYyhFb4KeEqZLNup3U4n0JX4HPUhCGUscbN67r+c5rr53UGglf7ZwUzhwVfhmTvTok28AeFr5Kp7sfyVrgUHky5/vADbB2JJ/k+ItEbHlW5HsRW3m4ImFi5hNSaM7uS6YPHf6yMN4XJV+U+z5um/sv2sgoB3RRwUTA8Zfs5Al4C9kL7c/zyNMF2VEyyYRvILjYI/ACjoPhNOSLpPYXJ7Ves1qr7duvWbewNoffVVZus0J6TmvNHppXbktXtnnPNPoc05s6tXeJE++/5TLhcn1Bn689A666luEqSjPzZSy4nXxs+a/92fGFkAXsqBNbBD33f+kjSmzBLJKxoYfCIEPapM2RG0wA6eZpMBkaLuCaEAlcpLFF9sTZc1K6XmP8LQHar3vGFn2AxqVsKEOEzCFtFEeLCOIkpxM6mMmauENukbklQUWJB2ESIIHUQ37230s5QZLgOEACebMzKbto+HbJWjfuseKyfo0t1tyyKxx3yrSc2KIUUQKT9UyhPh6jRgklWVb+mVLCkVaI8yuF4gQXA3aYEcLkX3GMpaw9qwzB0H2izHGyorzlK57ZQ1SZE4H8OGop5OaWA+5gQXZRoojTyUmSZCykuXCnHEUsYfD6eCciYr1Yq3wGNgQWwU0jMuxSXXhklsUzeAq/ntEVsj4Do0xzb2rjIeGmpp730s2WtkPeH22b166/4LXrcfw99fuhhIny5MgtlE2WZae54xRLPieaUtKzScLsaZ4CCrrO7t0vaW/csI6OWQG7PluzrtZqG1qtf6uU7+SkRxVw1N+L2CICMAcWbsvaSmAhkVtJ4eYrXd7L/zhIePllBwmUOaLkz52jDPGoDORuG9kxLoArpdt5wAb6z8lQpZLWtI+keJ3Yymv+6AAQ+UqyhXLRGjGyNQplmwGFPGIrrWkYUzK2IE2DiGQ/BLEVtdAHD37Jdu150bYOXrC29iPW1XNKRp8mmtGzDeeLkiIHqDQX9D0uIH4J8i3IUggtPsN7bF3V52R7w095Qcnrf5083vuq5PaGtbcf0nptl6HstOXLWrw3UPvGfbZ1C9G7J0PG9r1ms7q3w9IDQWxxQEOW4aLrszcgtq5LASfdk/RPev40IGV9LlzmUmr+v3IHgD14t3n8R/+ViK2UsZpPbDmxr/0IGRWOKIRx6GEck1tt1nuNkCX+J2UvBQAFdEcaP4CfKDXEkxNbnAgl553sDmyYE01eohdORYBwybzARjg2yH4a6LzcqWiQUjjlOAxkb5C1vHnTKQHtcSvcsEkOzbCTNRwskk77I5rnEd05HZMjIwhI3EpuhZOeP8LxDvCPAwxZ4GBb10qlUWQ9kZnGM1KKSFaPg4I8sO+fByBCr+laaQ2SHbp9rufIe9kgvt65ZA2nKkeAOEGh+eL5ErFFNg2p99gHMkKXr2iyDRt6rbZmTDZ0Rr7EQZ8vQAJE4RRlOGTgCNBBkqTMOgCn3zt655Z5ypF/jJQZwb0ApIjyQ8ZALO4XSJmefEFrc9lPMSou7rXVq6qtvr5Vjumw5myPE1tkF9+J2JorRZStYUBO3U5uJZuVDxr4Of/v/A+2DnIsmvE+p319Q/vggj77lBzlA9qrM9bbSy+yGfkYpzwDkCwm/BDs7q0kDmv7jytFDNCQs1+3/53B/+WvK9dFBvgsfC1IJO4DMhL/J7LJZDO018nagghij5LtRPQ89hyBEPlj7lvEPaa1Yv8jZzwH8sj/o0fwt+hjV1Ozw/fMqlVtVly0xQ8Y6tdnjnhD4JSdiHwxJ7FfuJbLFnOiz0Vf8Jn4fuiQALo5f9n3spMQAgiSRWSFa+D/0YeJeyHzs3/L4/b9798ltj7s1wdFbOVnbHlGUBaIdh3p+0aylGWUJHKL/YI+TARXGu7nIEN6D3uLvYZPFnIkfIX+1rWxN4Bpz9iSLM/setGzl7p6TkjeD0sfSp5kO2j1AbaKfkBkzH/XSSuC5eg2ZMvH4wzwFMQMPXDBVMJv0p9cH5Jo+/ZL1tK618orBp3YKirqs8bGGS+vG+AAD+neSWyVE1tfc2KHz3N8kPmbyCrEFmSf46a5OUkEVwyIpOtPQuIQaJXfK3/UG7N7RiZlvV+T/uCk2setrmHKia3unsOSL/meZGzRigPfPOubB7b0+9Gc8XxemYOd1jWT3UzBeHx1v6+E7VzeGfgZ/Cz8pPuPTJxMv2X6h7V3PCo/Al2C/SSBYkoYl8SOga3nrKlxt9XUTmTBBvpoPiV7S+USJ/pq3rRO4OfoM4i/g58c+4jPZD7A3LTJ4Z6ZU8fdev+p0wSEfkXr/TX/3InJ57U2562pdcYKCjts5epqq6ppscHBYd3TtHTeQc3JCenmKJsH82CrgthK2ApiK2xVwlbJRiVclexUPsZKdiolDZCtlfAVZfPXrl+RrT8jfXtE67RXunhC+3dYvtaU9fWd9AxADsEikYLEl8MQW6zfHYitVBEzJ1t3IrZI8riN2Ep6O5/Y8vU899u3JA7sFY6h11a/8HB37xkb3HbdxsaDdKOVErJCz2MPhji/onW7oH11SfZKg2s6AYlfAfaRDLt90LPQK+/ggS+578Kpok2Nu7I2L93ydVps2fI2q64Zt95NJyMbUWvqJ2lmvhm8DnYGDH7+4m/5Z7Avrmt/PJERWz4v2dzcidhyfxjyWLJJpRHkLDY0iK3fybTd+78+vObxUrwoLxSZl/rllY+hfFncxHymEamiAMs0guHkfbDInjkhxUAGBoDVlc9jUrrH5QwCErRoEDakm+PANDXv8wZ6kFxkdkRjcsgS+pckBRTN5CMb6Iea7AAJARQispBILZ4rwMLbNjXzojOaKIzWjXuttHzAKmuGIrLby7GdQWyh8Cmrg0TK78fhtbuetSWljzOFIs5IGja9Dz0vzosrGf+ai4g7qaV5gOSh3pVUXFJyHchIuY2M0JD4ce8PUt/AKRDHvMfUMBkuO+V0QmyRsaV7ShlbKMvzbFpdEwWKkDDnOI4O6LRGt5BbjDniJLHSDNYzFDX3PBcB0pyyZvS9coZan71PymRaDt/Q9ive8LCl7bD1cUStlPBOAQcEC6XN5sd4nb4DucUJEBcvcboUcwIh+VsyyhhOObcASIzm7Ft6ZoitJ6y/74Qc0G1WWNJkbZ29Uh7b5HRO6T0HtCeOS3hzxFZ+KSLKF4VJNCCBBRRwii4kgisp4/R9iiTw/hRNSGWIKHc+58zZ09qT+21qekJGdNja2yast+uobad8ggbLMkhzilf79pgU76nHMJzaswBxB+FE7YK8cfZcaxPliGmNULZZhp0TW6F08xVPEFvIGZkEWRN+7X8cEJSbk7p7X7bhHdetveuY9j7rhXPDXo975IRSZDJSnROBqz3lDD/3mcDe72WfI2PtBpOa60RsfV378w2bmowTwqqrJwQ2u23N6i6rrtohxXw0jLWTx1/UPb1uswBMyedRrXmQx3L82Mv+ufrMK8jRreQWz33LQBdprxPhy0UX2FcQ6dzfD+xv/uZvM4139/VRfUFsEWlMIBNyIwBulFA4uZUB3NirOYJrzkG+fe/4yNmzBLhdX+taEZ3j1DI5pNgs6SWAP8QWxBL7fGP7AT+uGz0NcQLpE+VuQW4RwMC54D5xurAhPvQ94BygTAkh1yfblf8n+4veUH26PmV1RcX9cmCiKTonIm4TWODzE1GDg46dQ+cm8M21+QwvL3EnnbnBpmfOlPQPjnGQWkEaeeNh/T96fvfuKDnvlM6g52M6YTBHbEV5FmUV6fm4hoO2vPkPoH8HuX2fwXoBElJ/rdQ3E4DIvLotkr7ZKacSZ7dowyZbsKDS1qxps8rK7dbQsNMz3LqkdwjCsD74Gawd5aSQJEFWBDE3l/msz2J+AtDkBr9jDt3P0HuZX9YNEpCDAwBKZIUNDV22XgGp8vJNtqGwwTZu7JYjvkNztteJrVOnTun/70xsQUTh5OeTW/k26v0G702BmNfmIuDPGE3q6QdJdvPMzF7bPsTR6SO6tz2+n3xudO+53mmU3bGPtHf1nKmfVCr7Y13eW57C37jT7+fsVT7wk0+QiK1EWHKCJYcykLHlWetE6Cee831HJqEHYrVmThizbloTJ3BZO/Z1tr/52QMw8hWRCchj/DnWfmaGnmiPW3295Kuo320VPezIMglQ+aTsIy0WIus6kdXoHPYLfib3zufkCD8ycHIjBTlzekW+sP7H9w4gXDZzt/xbSi55VkrGvv/9P8w03t3Xh/X6IIit4ycIzgaxlZrHY0ucJJaeCVKCfRNZ+4ywUxmucr+ckQLP+l0K4LnPhwzhqxOcSARG9IP0jCrtrf375UPvfklA+0njNLyWtgPW0wORLWwlefIm6pJ3yK3ocxrlXNwnspXGmdMR3GHPkt3EMxGwRU6np14wSqCwTWTpryvssbKK7d4bF7s4uO1KHrH1lvua/lkQafLNokoA0B2+JgdKXZd+QGaQnRsaTzzBwI5AdiVSK/xRdDKYDJzBYRf4u5PTz3s2Um3dTmtonNYzH3VZd/CPDRDewm6CC7G5cRjXt+fWyIkj/FDJqpNbGWGeem4FHuYeWTtG4D1k3HWkBqQF2Tnnz2ldXL9l2Vp6dsilWemUXXtes53CUvSVpmSzuXmPVVWR6UaGGeR6djqi66DwezwArWflmefsuvzdOLk89FDgzcgUi7nJSiDlY0B6cNgXTeQHt523zu5Zq6jss+KSZu2PbtmGEWEaiK0Dut8gtmi7ArGVsBU4CNsCtnrt1ThxHlsFZoKwwg4lcit/JIzF33lfslWpGib117pyhezik1qXA/JxZmzrFnprDVtX1z5fR7DmVEb4UVkFsXXsuPaT9i5zDbEVBzTEejlvkWQLYivDV0FmpcHP78ZX/C8YxO0VGD6P2EIO9knGpnd9wbbJ7nd1n7RNfeds+zC2g/uLihhKEsFjnrl1Vut2TutGdpZ8TNYPvANeAftAaiFvkGHwHdiq6ekX3E43Ne2xysoRW7++x1aubJfdGvBD5gjEjGb2ao98ogPyP8nYnMtuBs+RFemJCpKvq3nEVub/Jp7g3cRWqrr7HcfwJCDg23J40Ftv/SjTdu//+qkSWz/5yX+SoyCDLefUJ95PJdMkaPEuSCghY0hdQ4F6ZlJGbqGAcwNFC6EV7CYgNDYCShfFg4Bldb4uYBE1C5AAsfWyO5z01uLI05paUkdPGA1yAd87J18y+gGRXgdrfeTIN2U0pIClKADCKEYALNencbZnGGmDR28tOZ1SXChgHDeicGwClB3ZWlW1w9oYlPzlE1vhzBBdgKBB6R3TtSJ1lprwXHldgAWc3hjJCWbzoFzCIYbYS3MgoKT7o+yK8i/ScmHPSbUHRODEVVaPSyHT/+KENvM5P8VnJ81vZ16WoOQyFk5kpyJScunAjvtxEgJAkRNmNqhvWh8ZsYVg523eJ2Q05k6AgIzE4ZRTSKkZa+Y19YAJCenePW96A/nh4avW0XXU6hv3Wbfue7ucYxqTT+8ScJiVQGt9UaQRmYHQCXLrnOaB5uDnLvyOBDnmhPUjI873BmSM5p3S0WmtBVGWLf2Pac1GrLxqo3X29umzhqTYILbI2MoRWwkskFWVlC9gAcUJYEgKOJFbKNc0krJlJFILpQupxTUimvC09vd1V/ScFrJvdq+M0qh1dmyzjc3Ttln7lv5aO6n/vgOxdfKU9g+ZFHJsIHtjr2AgcWpQMFqjJ6VYtE4pYkdkIT+agNJhLSF0XN5k+KP0LrIiObVmLmNLezeyFV+2sYknrUeORkPzrHVy8soQvdFesLmTPI6QOZWXnegELtlTUsBzkYUE7ogOCghLFnwvSz7YyxgaQDnAACVcULDJCgv7rbEhMgO2+ekhz0nGXrZdAimzWmcntrS3cp/7m5obSpr4PO1lKeF8vZMMFCORWpBeSe/EaTDaV9pr6IeTktt//+/vElsf9VcitshwSKVkgO9EqniUmVTvObkKciVsVzifyEo+II99lAvE5JzCbI9LZ3F9JzCwWdK9ZDIBigG+m+U8Exhpp+Hr4CWPrEHaRrlbrjzwFHtb14nxa9mI0ij+niPNKM0n0POswMIV2YPjnrFVVLzF+9a1ZsQWmb04vYD9sAtkhgZRkwIx+YQac4OzB3FzATuRkQAMfnZnSu9DVsj84v4hzYK4i15Vidji9+FoA/ZjHeL5AG0ZAZI52AwAistqNuf/mBGNS5HnzIfI7hOndY7Y8gxRiPTndW/nPfNm/oIaW7Gi2cpk22trd0gHTXsGNM3RydrC+cPWMsf0crqlxIzAla6fAE0QJRB/kfXjZL7+xnuCkIz78P6dAmyUbVLmsm3bRdnuA1Zd3avRos/e7DYi9YO8UykifUUgtrBX+VlbDOwQNul2Euv2wXt4b8rWIhCTbNblK5dld87IST6s9dtr/f0T1tI8pvs87KTfKBHwbF5YewJLTuLoGXnWyDLJZUTm1vW9ya07DfZBCp5xDXfqfV0FnDX/sa4QltEbCDvS1XXcQR4nkUJKOonrAI8IfdyfR6R1HYa3qPC1y/Y29tDXi6zLKCcOsECmyRX5fwestJRMk82eZUJPz8HBiz4nfpomADiTZ2QjouAQx7eefJp0Tuia7Bmz52T4PtbzBvkQ/fQI3vFcnHoFsUX55a/+6h9nGu/u68N6fSDE1nHK1rFVmR3wjJLYNy5P2ptBirI/UgAvskvwZzzQmTfcz3F/70/0PsiVhK9yvjrX9oOetLeOCCsdmH1TeulF6b0nPLu4uUW2qv2wsI72946bnvVCIJqsfUqXCFIA2E/qGtwr47QGOvekfu/XPZLs4Fs2I1+fEmZ0HtmxpeWDVlDY6z2MW9uEqzY9ZgPa08OyixMkDODzHfiy/GFKx/Q5XB/7BElzCfwSmWzX9FyJ4LqhZ70h2+xfIYohkTJSK/m8BN9PaX2woxyYNO7N0enNO+Gnm3b3HJEOORuZqdjoSaoV6M/0lhNGc0kTwlTMH3bTCchsneg57X3RhOVo+k+PInqkBYmle/WvwnvgQK0pFU8QF2S8PX7mN2IOnRRk/r7huHIv87dbtl56jsBCf/9pa26asYryEduouevvPyPsd9WzOdFV+D70PjyuZ/SAnnxl9lGc6it9dzkXuMrhTVpxkEwiWyUb54SE9CdloSOyhZBpXT2zVlXTpzUTturabEMjozY1M615OSAdFdUwFy5c0PNdcXtFOWKyVwlbYaewO/m46k4BGX7H4D28NyUN3IqvrunzHtczHtM97Jd+nLKuziFrEv7r6jrkLRHi4JxorE9WVBBbkLKRFUlwn/5wly9REZPkKrBDkMbg3yj3zQ3wVpA64CtsVQ5fhawxr/SaI5sKfgE75Mk5u1+y4dFrmsuT1tFxQnuN/owkoxB0pO805LZ8jJO6P/lJnr2f+WPsXye1Lsi3yPyw08KJJ4+TdUkfuwjCYJNaW/dbReWorSvotbVr5F9U7XT7GFmRN21y+kXHzQRWj+neTknGvH2T28ffCmJL+/SafOIb1+QLMyfuAweWwkZT7puILZ4fW5aax4PTwfPIC4G8N9787Uzbvf/rp05swShG1ta3feLJ9sDRdfAt4XBBnSO3ggFNEYYYgIIYbCCUEYJPDSn/O9d4UIA+ORc4CBA0rhzlrIzLIdw6cM4Vb0XlmJxpGOsLUkRP6G/PaxO/4iQBJ7lBxB2REoLcgmxCOZI1QgTvlBwOlDIK6ugRIuCky2pj7HrZdugzcGQoOyyvHLbC4s1ObBFpgNiicWcoe07veNVBOhEXmvy5wk9gwR2pYIXdkXLHNwaOC0Re/vBsNXewANqR4YKRQxgxKERNdoxB7F1wEFFcOuSnY9A4nrRhj6ZORKSZOfCmcIdjvRCwSB3WxtV6OaiTck1EpJNb2cZNm5deTvmOZhADpNbijCUHDMXIPWe1vg7sBL40n2RsBbFF3f4xq2vYbR0SLuYPZZmOVp/1SFBm1CG3dB3voZSBLPYEcxLCTFZEDiggzLt308vrORnNS7Zp0zGrrR+wippW69rUZ9tHIl02iK1j2ldR3pFOmspvcng7uZWUMCCAgYLNH+n3vA+lS1SCa6DMU7YW0W+U/syuXda/ZZuU7qC1Ne21zUTDsmb/nHYCCUgNuCtedxgEbJ2IzGXY3bJWc4o3IyGdgIxU9PxIwhyh44oHxZuL2qHE5ogt7RMyXMi+GJ94yvpk3Bsa98rpEKAZYL9DHIdz40BVhg+QF+nO4XA4uQVIYI8DRMicEMCD1ILoxUHBUYHAo4H8uED5oBwdMlk2bNhiZaXbBaL22GbP+riqz3zGJiZfshkcKv1PEFvf1NwQiYqyIFfC7GVq0XEkfI5SinpuzKWAu6MXZDpziqHg/tAHnL7z7//9f8403t3XR/UFsUVpL1FWSI3ITooSD3QU9iX0cdisBCjzR4DOP/SyII8Is280HITq76772Os4G5LR0Evfk+7HKQzCPTWPp+R2c99Ja2uTPLXudfDt5W7Sf3uy3noJ1KDXsB/o0QQY0Hfcv+s8yQAn0TlRIwAAaYYjQ9PbivJttqGoz2rrJgTC98tJlyMjwI9dAFQ40aTPw/HFoQG44+CfPJVl3KB3ZSMgZNC9c/qXIINsRpB3mf6VnQO0kEWC8wgIatt4yMgcpu+ltwdwUEDJ2pe8NJ3ny/U9yvqduV7LzTmyGqUkOdvzDw3sUloT9yG0Jn7wjD6DrAE+k2eNsvgvyE+4ojXYZ0uWNtmyZQ1WUtpvNTXD3my1VesDyImIPbb0Wa0RzxBlozwvgSKue/tcARzczstW8T3ZC7wHYOGnGQNStM5E/1MQhnLrjo69VlXZZQ31GzV3WzWXZGztk227M7GFrQIo3Clri4E9uh0sJJCQT2il92O3uBaZYJQhYhcfO31Kz3pQz89piCOyWZNeigdhSfbfHLHl8kW7gwBQTlieY13Dv0ik5X/7ugZZ6fKWJ2ueKSiQhkwEsfXVrF8Z6yqwoHvkPr2Pne6RuUYO3a/QvnPwzd7T+jjRlOkABvubtUxrhs7A70xyRpsHyqXKy4etrGy79wniZ+aEICift2uG3kAEFLPyDumCJFdOhGb2kWcBWKZ9n0Yiyn0Pay95cFc2iYxDAAtZ+p30vpSvx/PeJbY+/Nc7H0Qp4jH5yqnqAyJH/rr3ccr2DXvBbZV0ZT65RU+gFMi7dcTvr0p+/MQ7AnhO7IQ/xjXJ1jp14nt2XPjosHDCftmEXdpjNCfv33LGm4U3NctP7ad9yFUPRPuJ5mAdArBgHYKwAuHgNEguZIz9elzyBk7keQDz2DhsHcTs1q2PW3vHfispG7B1GzZZdd0O2Y39QWwNXhbovymf7ws2I9llTgIXYBO/53jI8ZTLEWQfGOZ35kgkQDjjOvpG+ATCK1WUhC8adoH7jL5ib8kO3/QDIOjzVVc/IX0nG8Yzb7/sthWMRy8iGuiDUyCaks47qWd14kjXJGnAyaPzui/hWE6LhOC6gl/qI8rJOKUfMgsfOdaDYH0kWXBv2H3Kyrg/fAI+E19mavqLnjlFP7DNm09Yve61pGTAD7UgaObBGM2vH/YEwY7Nlc1hPTzocBaSFOyXBWN8oFPpWZxse2Ta8Ww8Iwkbk/L5qYjq6ztlbe1TVlbRYdW1rdbdu8mGR0aEt6dlG8FWR7WncqXzjq0yewW2ur0iJuEqcNTtiQP5g7/z3lSCmLK1wG1Xr4KvTmsPHtYc7ZWvM2ZNTQPW2DAu3UzVxyUbG30qOzEyy9jy5vHf1nOil7NADOvFWpE4AL66DmEceBiMFckDtw/sFMEasJVkTtgi2ilFsgfVRfgF2BzWgPU8IFkgcWDHGK0pzsgfPGy9vWRB07aBXm5gdrLtYt3oIT2XkKL1wW6xhwnAnNV60moJPXHiKOR01tNVMszebdt4wCoqhq2goMeKhK1IHugR5kTGPIstI0DhCI5L55yS/Po+TpjqEsRxyJWXI94IDDl38J3jz9z3zBd23g9n0N5iPxOIxUaD9V57/Tczbff+r58ysfUfpaQgi1J5Gw5qFqUTUIgTCH8UhlnCizMSTg1K+N3DlRDvQdgl5NSMOmuta7GYLBhpeShQADcOBmw0igj2uLVtj5zSbV6O5xGsbQLCo0/bJKfuzbyqjf6WBO6rmthveDorx6bCRNPPiWwfvpL9QVQBUmvfPjbd6zY5LadzxxNOnm2UAi4q3SIF3GtVcn6JLKQeItTu4vjCBkOsuBLW3HA9GFfmJwekQuk5QNCmuX04yaBB5khkJAlow/TimGvTRtnJW1IyL0mZPCGQdEpKeNKKigeN5ttE8ei5wOkYZGxhoPwkD9Kb6TmmawQDjAJGwcVaAQRinYKEdLLxNiIgBhkwYTC9Mbg2cCK1MLjcNw3zceIQSIyar9luKeSdLzixBcgiw44THHHQPCIiRR017JFF4KeYaU3ICEQheIRV95tGRFMBCtFjhhIXlEGcFvK0157Ts6S8stsqa5usZxNRhSGtERlb+/Q/0ZD39pTZlLWFAk6AASWaT3ClgZLNBwb8PUUSktLleih2ohco+wMHD9nEzinb2L5ZIGrA2lsPWt+mM7Z98JpNjMkh1v3vYw72Z2UMej4iJxij1Mcq0q9RvtH0P9YoUzYpe8szuHI9aJLSwdkJUgtGnXXLZRREROE7QWzNvuNAlaxIovMNDXsE+PYFWB264dkhnvUhhZgrIRVgOPMD7VvILUju2M++p6WEcUROn5XBpKz4RKRWE4FCsZIVgaPT1rbPiou3WnXVqJ+GSNNr0tJH5OSMy8mZxsnR3AT4px78VyQf9I2jLOg3XHd4LfrF33OyFoDgezqlf6Nvsu+jcTDkHlEVIlWSN1LT5VAcEcj/63//f2Qa7+7ro/qC2ILAgVhCpiAkAJo44e7kSY9EXyky/gQ0ZbOQrQAOKYM2Iqs+MoDOYN+Eo0w2KSVvyNGvZ07pd/QZAgpHaAZM379XpbOfF/CVY9iPIzMreZqWM3PCgTL6j4a62DZID5wAAjkA8XcN/R79yPsi6+dlJ/PJxuKUpObmGTm6/Va4QTqmdkK2irJ5IoIQTVf9FF0ICQ96UNpLaUUGwCEJILdOSbfyHLkRGWMQOB4d1Peu42U70VOUWkIq8BmtLfs8yJSaePN5idii8S0RZNcX+l90exxmAilNY1tsUMxxIkFcd2ncSnjcOvg7783ZI0iBXLlajmT8suZM4MqJraueabNmTYc9+miV5iuayNfV4hTPeNYW+gegAIkDYRFzhn6mzQEZSkHksJcSWfLuASkJ0SlbJZ2VfBjsHeseWXY0eR2zkuIma23tlF8xIP9mTPtmt+brsPTy8TlbRYlgOhkx2SnsjZd43Gaj0sBOpYh3fmax/02DEsSXdA2uB1DAHj5+7qxs5HH5D3u1b8a1rwad9Ov2zPgM7Dmx9bLWNUgcX1c5xr6ukgX0vgNPl6ecHwhRdad1vHVEplYqQUT+krx5hrFkl7mP3j0ZsTX1ossB65oyIlm7XTNBqiL/rBlrkfZ42tPslZTBwu+dtJWeQNYACugR9gAyxPU5xZJMiZZWgEIQx5ERKb9Le53svtxnQoIm0jiCwPmEGuQfBBe9b/iKLDBvgE/mMQjkyIr03ik9J+RHnZK8RbnsXWLrw399EMTWkaNfsT1UfeTZKbIMw1Zpn8qH8soP9gzEyGXsE/YIQl9ygqxAYmVkFn4ehJaDbMlfHJaFn55HoAgPQKAR+D60/ys2Kz+asrux0Sdti+OrfcIYcVgWTd2HhDvGJ573rH0qR8CCZN57sFF7FJLLbZfuH9mBUA5SRteV/qSsj6wiso3aNu61DcWyVcV9Vls/7oFNssQgIoZHnvTqACeT0Ln6nKiEEaaS3HuygPRA4KbIKIYsQobQNdhtb7aP3tHvyDxxAsftNHbhB04ceWnY7JtOSrdvPBTEVt249P9BL03k4DCX653P2pTw1G7dy17JITgFwhv7F1glFxRCZt1fB8t682/57Bck48g5GJf7wGfQWs5hPa0tVSpUFUFqEcDC1kMsUQpISSYJDZQhjgr7Dm67ILt+1Gprdtj69ZtkP6asV2tEZvaw7pf+h9Puo6ObgxT0ZunZ/XlGjuZibngAKwtYCXeBXSMI8xXHtTu15ug+EgaamncIczZrnpr1c6/mZzjDVrOazwjEEMjPt1epHDEfV4GXks3KJ7huH/w+kVpgMcgxAjBck0DPpUsXNW8nNFcH9cy7ZU+HrKZ6i+ZEPpYw8eDgFdsx+rTNCDeDrxwP69mc2BI2p09aDl+BhSFDwbdBFge2ysibd/kikFqQX3ovFUx+OAGtTSRvslepNQ8ynCO26BP+io2NPy0ZuyAZO2idnQSM6Lv6jB8OgM+as6myV9oTpzMfI4eH8cvIjpR/oWc5Bons/sXrwlVfkG9x2WWKMt+Cgm4rL9tuba37IymHJAV4EqqEJJve2+uI7JSu45ibPTxnv3/HZem65mTuQIQb4EnNS0Z0MZxM199JLGAe8eu4V3AazzKz6yV75dVfy7Td+79+qsTWX/7lf3Tyhw0f6XLUgn9Hk56Awm+4kASwzaLhGG1qem8bVxj8jbRIQDCkjwScDDBnIbVgnr7npNNX3ZEP4X7BWWlPxWzdJcXY703/urWJSekb2n5DDs0zckRekjJ9XQv9JSmir84pYE6L4GQPsj74ehDSjOu7A/O6l4aM0zReCnhT3ylrapm2dUW9trZQzm/1kLVI2XfLudgqx4LTB4hU79wp4D39qmdIAaLmlJ7ACAqUtFI2JnPEprnj0LMzKK8izR4FDrlxRMYC5cT9cdLh2FhkJRFVKK8cknHYag1Nu73vV9RZZ8QWbKyU0gGt1yE9H0STM8DZWjHXHNWLwndD6Qbh990QujNJtENCmkaOIODvuShIUtKekeNsv4Ad86o54J45in5y53Nywq7qHo9blUdFpufIwVEZsQBbL2fGkiyCX9LcybAj1ChkDLzmI4YUP0bpKOuWlP4r+gzti2H6a522ehnK4tJWq65vtJ7NvTY0TI+tCV0fsMDpHVGOmB9ZACwkBZx6mKBEkyJOJBcDpZy+T3/jffxPIrVQulwbUMLnEYEfGh61+oZOq64ZtA4ac24+mxFbz7lDsVcg2MsYMEaSrSjLJHMtkVspakek9/e0LkQXpFRROB5hQNlAZMXwkjuISP09MpQ46lmKx7O1ZFQzYxYNPmXMDmpOIba0z7zcV4adHnY1tbvk0LNeUogjgONwOiIyzb2SZfcdz9zifudKfnV97h3SKwF+euXNHtRn7KWJIiW1krPNJzUvk350em3NqJyM/eHkCJwMS9bH9HlT2kd7ZyNaFiVNofTZzyh59I7Xop/HeQDc4vxFaS9OYO57wG9++nVeTwHJ6wGB1n/31//vTOPdfX1UX3//9/+XOwneG0MyBamQSuHmsmkzRwGnDiCOc4Mxx1F+14AwkZ5MAPuC9B7gE5uXA8TRWxDdhFOPg+Kl89LHEPuc8kmWR109KeFH3REdlVMNWeyZHrOQWwRHYo8DcPIHeuGA7AvkCNcl2xWwy3XQrXV1Y37SX2HhJunZHd6glwyWfvpsyWZQLjUuh4r/c9AAke5ZAmGv0NvcP7LK/BCU4SvODnLGcELB9W8QNUTi6W9ElkxD/Yy1te33Xl/egH3HTY/S81lB3BFBjgwxd9YyoJ/IrfAVcuRWKge9kQVVKGW75XsvC6VRa2T0EL1nXbge6xE6J5r4cworJCP3A7gimru2oMsefqTU1qzdaCUlW6xS9rRBegiSnXnDnkLQUd7h2Thzz5Gc48iuwx75ntLc+BxpH/DZkCj0gGSu3B5m+4F7AExBBnZ2HrDqqq1WUtzgxNbg4KA+b8x279qldTlkx44e1f46o7123jOpUlNebEy+neJEw2ST3ovkSiMFYl7VexNQIKqOzeKodo5sP3r0iGzyLvlZQ9LJfV6mCbE1mO0j9jRgNQIcIVtOjmoe3Dk+A1mEc4z8BGkMQcW6zq2hf80HDslJJtsEUgu9nbItAISRUcWejEx+CEtOXs4y8bRW9LxqbNxllOASOOOkwlxmGSAPYpXMzciGZJ+kgf+S2ijEtb+i/S2fUL4U9hCyrK111srKtsmGj3qmBPsekonPQg6QLdY4EdVpv7MfuD6fg75ImZDuJ+cN1ymy9YCXKLeMXqWAIUrC2tsPuq+3dUuA7l/7tT/JNN7d14f1+iCIrUNHBHjl/+6DNNE+BZsQhM/5VbTngNySnbooOyXcBHgmCwsZwX+/JPmiHUMM+Tn6GzaL9+VKzcJPR1cBiD1YIhnaL5wAXqDsbsfojcjYatsrOzLuh/v0caiG5IusfQ4SmvZT16M0b/+hLxt9evAFkUfkhr2P3YWYQv6QC7K1tm+7aL09x1yfrCvsFX4hu3h8LmNry1ZhOPnxY1TeSL94cGqWA8EiU9Yz2ST/2G3vmywd4ySSnu/WSpgY/uxOFOeqE5y8ORbVHtwfOh7QX1U5YjWSawLjlPXT7oasWmzmzukXbUb2Y7f0HbgGG4Bcoie8NY9XWJBRJlvJWmme8X/JxILAYu65V4b73ZJvx3ryl1lf/E+qGUL3UL75tSC19Fn01iJbiz5nQ6PXrX/gjHV0H9DaDPmJkpBx3Z2HbQsHxehZokUOyQKRocT1/MClPJ3n8wep71+zVge6f8dWsm38H+s7Pf2yY1wqhDopma8ZkI9Rq89slI8OsRVtXjhxnp6Q9Nm6k70CW1HFkl8VkzBVPsl1J1uVcBa2iv/HVkGYQZydO39O93xUe22f9O+kbOgWreMWaxEm3uyJA5qPkadseueLwqKv6334O2TbkQFI3zbNhfZRtHuJxIHwQaLqIz8bMpE4YbMYQWqltjxRwYQMRv9igvwpYO6BEs3r7P4vuT8EsQVZ3Np2QP7GAQ96jkqfY692J3s1t+e5VzLMtH6QcVpDL/fVz8gDpNQRl+G3/H/B0+yDTu2J0opt5kk51SQMHLBNvZDHBKdij9C2KSrNqOrCLkbZKvce/jCZh79n12isP5fNFpV3ZLUxmCN+T6ISGV7YMbK+8IUohcX3mpp+3r748vcybff+r58ysfW/SRG8lW0OyJLEWOPUZYw1wgKolQA7waUFdiBwh0HG0AUp6iC0BIb1/+4YasGC4RQQ1iaELCLCTIbH+MQzTt6QsdTYMmUFWjT6icB6klUCQ8tRyJAFk5NflFKF3HpbG+XLXsoEieUKWMaDr/yedMsgtV42Tgogi2QLgtx92KpqR231ug5bvb7DyqsGPTuss/OoR6WJLtC0d1zAhEyqmZnX9FnMzzsBwKU4IZTIbiOayaZxsHD70DOHQ8zPRHhRcAgCBBGN0eWUk0k29aITQTjELW17rEjO+IbiLZ6xBdnG71HE9O6g1GEPAkJdsZ4xhDmy7PisKCGNFOcgITEERDeIHGIkcyNFQcj0gdBCcMn4YeOjqJ3UkgBjzN2RB0hI8TsAyyI1NMntkUErrxqxyqox65DQedYWitjJwQwAEbWiDtrTnKWQdc8oIfYZgsdX9h3GE8VLiiNZATiVNKjfBHlWtc0KBRSq6xusa1OPbRsakCM+pvfOyBDP6rpHNc+nnHQiowoFmerBUcAozvzsLRRxIrnyB7/jb7yH96K4ARxJ6aLc+RwU/vQ0IGFQCqZN9zdgHRvlLJBlKMU7vuMZm3LF+0ouXTYZI81plGUGuYVMJSbdgQIgkMykpHSc6Ar2HHCAcubvEFoQPDg6cSJOFvnWXkgE8qEDAs7IApkg2kNEEUhFr6yakPLVevVB5l7PDCeHJpDuTJZJrocRypY9TZq7l/vq+p7arHXDyedkUxoW4rRwOAMn5HT3HLWKiiFbt67baqrpGYBjEcQnUcIdUvaTHiWUbEEcS4YdiOuaThrLmfDsj7NycjiV51xEyyBtXc8knaOfg4jl+Um9jii9k8jaYzwH1/+3/+5/zzTe3ddH9QWxNaM9iqGnj0BkUEAYBSEBuMXRY38mR89lzImWDHSmzAoNN/L+NXOScVBxTvW/c5EzXROdBYnB51EOQDbWuO/zy+4s06+xqmpUYCFlrUr/ecleDhBTcg+BhQ6l0bgP6TsHCnJyIRQmp17wAEYiSDo6DkqGtlvB2jY5nl2S2ZGwVV1HZKtO+RHrZIhFGdlznuGSiBru9aDk0m360UTYRNmj61zJNYQX34ccS//qvRA1gH7KFOg9RGNtMpq9jFi20T9L9tSDFrJfOHWRkZY5UZr7BPKZU49uSz+lDJ9EcOVGZArf/n0+qcW1IquMNgZaDwFE1p3IPCn6EDKcRIgtKizssfvuL7QVK5usqGiTlZcPymGfsObm3dFra9Mpz1qFfExlo8yZE/qQOdIX6DSeh89h3rB/2Ci+53f8nfeydpy0DAEDUUa2Fse0t7buttKSHistrdP37dJ5A5q3HU5s0ZAXW0UQJkXBCZbkk1sJLGCDkq3CNiXAcKeRQALvhdRKNotrc3rvyVMn7NDBg9onO62jvV/z0mscStBF2R1ZAVpvwB5r76eFCcSyrmEDWNe8Eqos8ptPXLJmZGOxhpFJywAcxJqmtXdQ7ro7CJ8geyJbMNkTb8QvOSOwhTNPaWCjt2ZIJ4VlhyboPg9wqi7kFmCB/pBO4JJ1F4Ofg4j8hstCHEjzcgTNtAcgy+j/SGZxTTU92Xa5H8PvOXmUgCsZlHxebp8ESR3kFsAy0zfao+x9QC571sdZCK3oyeZ22X1gWlC87XJEthYltPSfjCyxJ+zXfvUusfVhv975IIitwwK8u4VVtGdSH6cgtwhwsk/lU7FvMj8QgisSCCB13o2xyOyiHMjLx5Ed2SvIFK7hpW7odMkrOgx8QMsQ/D6AtQdh+k5aU8suK6sY9pYv+GMAcbKpxoR36GVMTyCI7b3733Kyh4oVMnMB2JDN2D98+qTzIH8HIPPbD1q1gPaagg7bULLZauvHPJOZz6DE1hMGxp6RjZMc7SbzKCOJJbvHhAkjMzTpmLDZQRz9lj9vzElUwEQVDIRSyvSU/oDQEy5DdxBQog9Ta8te90ErKrdZSzOBXPm7W844piBDdXwSH/SLXh5JAB4MnEoSIY4gyrzdjfxRJ7hkf5hrgqZOYvFVGAmc5MSi1pM9EoQW+gxblV++ic0KXDqFP44Oki4blL/c2y+70b7bSsr6bfWajVYrjNohf6JPdh6fnUqicfDUzKu+Jgd0PfCEB8szH51gNsMJfg1wIXYL255ILbAVuGxYGJfTgtvadltZWY/89EqrE7aC2Boa2i7fZaf8iL3SdQflR0erF7AV+IdWLClxADsDtkoBmXxclUiu20eyVQlj8f9cCxuIPSQIc+TIIe21XXr2Ec1Ft1VWbLFWSmg3Bb7aMSIbsPMLsqmaD/Cw8EOQfd/W/Esfa20iAzCInOgRLKybl0FOieFVx1QxPGHgBoE3bBf4SzYLP2SO1AIX/7qTlujxVNrJmuIP4U9sHTjv/lJT8x4jsx4sRDAQv3UvdhVspbVLHAI+E+tH25iQ32/5PobUOqB13ou/CTGtaxNYxIcpKRu0Qvk2NbVj1i4fbbNnbBGcwg/ETkW5L5+DreG62FjuPXRM+GWUaV6lxZRwpGeIanhmm38vm41dhxuAF3BZIyOU/uj0FXtb+/dp+8JL38603fu/fqrE1l/8xX/QZk/KNzKTIBncoZGymAO1GWtNOR0N2pPSefeQQpLQMwlO7CSFKwGD1IoSRCLfCNkrtlPO/I6xm7Z96IqcToGEpp22Zn2nNx+k2z/N1ImeeSN5nIzx57TQL/mG3rPnLd23FO8skQQNbRoWdLcUOoQUjDjKw8H2MNlaEbEoKR+wFWtbbWXBRiut2GqNTTNebkHGEaV/ABYUn3/WFMqeEsg3fAM7MNEcYTx4nhw5kwbPGiM2LL/j2XGIyUgCPHCPQQRAoKH0cWw4xWl94SZt2n59TxPT43KwaHh4RUJDpPw5z1ggCoOxcbJE8+nRBcgtKd8AdGTXYCjDQPqpg3nDDWUW+YgokX6PwXBjmTLMMlJLCpp0S545OfIzbtQQNBq7HpWhHLGyck6XlCHDQSNCM3TDDRn9m8JYyjju/4oU5dclcAIPlJIiwBpuiOf2hICCgCM9xXA8ibBwlHtp2WZbV1RjVfV11tnbbQPbKO8Y1RxO6v/itCkiC/mAASIqKeBEcAEaUMKMfPCQBr/jb5BgKFz+L5FaXDNla9Hba3yc2v1NevYWgc6BUDKU28GejzxlkxMCTWm9tC89EypTNIBmwLMz6QDvjNy6rDW5Iuf/qpTpXI8BTvZwhZMy64ggQGjlZSllShcF5qTTMaLCAquejq551X2MZVGaJoHj0rIRARs51L2QuZe9FJboEURwyrJzA38EIpI9zl6W0c4UML/zKJAAHo4QTTAnp56XAb4hY3ReIH/WSoq3CJR3WnXVsLUJ7FHiAajcPnTdRse1N6Zftl2SVeSBCENOEUf0/bQcCcACBJf3OoDkko7xgQOorzRhPPe49I7+RkbB6dMyPNJXyCJZguwryLN/+2//U6bx7r4+qq+/+7v/S4b7eQ+GoCc8s8RJ0SzgkJERDnClD5ExnGXPNnHQGQPH2XUkIDT7ygjyhGBECkRIbzuJ8jXto8iqwoGBRCLDBYcTZ7lWDkZ5Of15drsed6JAexxingxG/gdAQHk1xBFOPdcisEPvR5x9SDAANHaHBtIQJC1ZGeKqVS22ToDBs48apxx4U0pCxD0auqesredlr4Lc4tqcGEj2VopEo3OxQcxT/riFqNH/oieINpIdVlsDAb7fnbRcNm40rIdYIPIeGZfhM6TStZjnyNy6IBvkGT4QXDiXGjhNiezIH05oeZAlkVoBXrBrrClkAmsNgGEOCfbw7Nu0Ft3dR2xDYZfdd1+BLV1a42RgaekWL4WmgTD9yei1tbkvGuGTHcMaUXbpDrLWhrKGRDpChDCYnxhfk06M7AXWkGyxmRlsFWTkDdetXboHsosLC1v12dXW0tIq/2WL1mhU753WZ1A6f0R7M4IwZBgncut2W5VKPdIANCTgkD/S73lPPqkFAOHa2ETItL179mr9dlhTY5f2VZdnsnXKfrtO3n7VHfNUZopsBYGTrav8gLnMAAeeEJeRlcda5aLi715ThtusRGrhk+BrAA5ZVyefUqkOZYg0433F55W+It4EumbcWltnbUt/9EnzEg/5Tw6QtXfJ3EoErhOR+F36yr3zDBChkFqQyL5nICIFFCDLaqrHtG82+z7xstWOQ5I/ouAQfgQ5I2sL4jg1ks8nt/gsj75js/Q86BFG7NvYu26TZDe5n0OHyRp7xeUWH7epiXKbkw7GCareLUX88F/vfADE1sFDb8mfiizauT2T2Sn2DTYGwiSRJcgVw5MInNhJ44cO0vk9AWcvO9QAj9Haguvg7xyT/BzRnsTnAR9QWQEoRq6Ro57eY8JXk1ZcOmD1DdMeIElZW/TAGhPeIeODKhrPZJKsQMJAMnMtCCOCOpTPIX/s1UHpvM2yea2yffh7q1a32YaSTV6K2LZxn/t8ECiB327KHsrH1DXQncgjupbTGyNRIEq0ElFMU/nIkor5SANswzwxZ5BJ7o8Ki0Wz/Lcl3y/Ylr7Hva9recU2KyndKp280/V/r+wqmIKDrkY0L+PItXxjJwMIsmYJDGAUsAny6mV/YDtILg0nkbRuPvQ98x+ZvIH78I3RZYFtImAEsRnYNJItyJAbRQcNX7P+rY9bZ89hx74FslkrZe+rq4e9gTztDbZuPSef+Zq/P3eQGhl1VCzpHvVZKVkgfPUY/I7Px5dHnwe2ykrmt131uWjUZ24o2mgFBeVWV1en33VrrbbpPeOak13yy/e7vQJbQW4lbJXILexMIrcStgJDMe5kq5K94n28P5/UIhuM6588eUJ7eL+edVL3s1W+1UarKN/iROWmTdhu8NWTnnG9m4OvHK9gA+TfaB9EyxfhK2ErJ7fAwWBffAp8C8gaMochubIqpij/JajG7/JKXvU/YOM5fOWVKhHUp7H7XOWZ5hXfbavWkj52tXVTxmEKW/QziSmTsmVebeBrF4H8wL9R7hvrF+tFNRak1j7tFf6HzGJsHnaaPVxUstX7g9fWQWztF4aTzynMPTKMH4h8Yb9zZHoEYOSX6d7PPK45kfyAN71tUZb8EokvYMtIevGMUew63ICenQoa+AWwGTqGSgQOpHj+hW9l2u79Xz9VYuvHf/G/uqAhcBA3PulO3EA8INRB1sBa0+gvGrXLWAME3jXCiN9OaFEOwSKiLILAIBXzVe97NTbxtED1Nd8QlOLVNY7ZqoI2T7cjqkDWFk4Gi0okPMitZ6WwX5SjKGW763UpSQ1tGAYk3ZQWdudOMsGe92NmqVEm5ZsMqLrGSVtXvMmWrmqy5Wuarbi8zxUKabNdXceCmBAwJ8IxhiIW2KCkDIffHXltGEiKBMRjnnIkzS3DgQNgAjJHmxXlpmfnfunhBehx8kYOTaecqSops7VrO20d5Vv1CMZRF2SPUsoJ2jnxjBsqjMzePbkIA44bQoHyjSyyFAmSQZBRdMJRGzkNNnWKfPjg91IAKUvLjYXWD1KLCBMOPSUn1PoSId+581mtw3UXWnpflJYNWXHJoDXJuOEoQ8ahfIZk+IgEUffLOkVmYBCQCB17gcH3OcUroKDr0+ySCDhGs6lxp4S5Q/NSblU11dbZ3WVbB7bayOiwHM4JrUtEwoksABhIm81XwCjN/AhDyuBKyhgAkUZStrwHgEHWF6QWWWBck+tTTsIJV0NDI3rmDj17i0DnoLXLEAFIU+R1Z0aM+nrp2XlOHBvWKmX7ObklufGmy1Ig3qBX49JFeqUFyeVNKlE8CfChpBkAPw5lwPFxUkuyiZxKXkPpfk0Ozpf0+ZIJGdKRITJBOHmUzMBB743GyZtE1OhlR+8rB+LcL4oRkJcA8WEUsGSZhoZkgul37D2ALQ4Q/QrYF5Sn0pCyvmFCwLJHBrNDgIHm8bu0x+VI+d64Eo6UZHQK+d1DdJDyYhy/3F7GafATahKgko7x3insa4Z+vpWUCACB3kH+wui8red5zf7qr/5jpvHuvj6qr7/7u/9TzoOcUTkJONdkXgBUPSMSu6X9cygPPDBwTHFCAngic2R0EX0NAsudVLdt0nc4yNgrnBZslv4fwIzezi+/IMjgukm2ghK3qsohJ6Cil9PBcORpmCv9x/0iU0S4ycriEAcG9052DBlD49KRZKFg24iAA96JzDlBsqHHVq5ostVydsk+orx3Y/usBxTorbBVtgNSAn0TABxyi7mh5IPgD9nNQXA5YcPQHN0y0L96D6Dd+w4NXXent0Hgp7pqTLK727r1eWSR8TcIB+yXX1t6OzXJ94ipHGsObkEOkUmXVydBpNcgQeZGrrQkV5qW6TbXa4moJiLPOkXmDdFCyjohobDJPC8O5YBsEeUmhes77POfX2WPPloiW9pmRUW9Xo7SULfT9V57xwEnBVmj1LMJRz/WJwhIt/M4y/KHIDSd7DqIvQryD8KQz+Z/IPkoxyGaShZdezvlL9ts3bpGKyyscGKrr6/PhoeGtNaTuu5etx8pCo6tyie3sFXYnBsCDNgr7FEKwPjX7PvbB3/DbuXbLIAC5Bk9Ugj87JrZZVu3DFhNdZtAaLv20k4Ht1tc/0fgkOyOlLWVT+AkOconb9C7EI+sVz7BldYzf8wRWrJtDtAzX9EzTbKeaS5rkmM+m7llXbcI1OFjVFeP+37EvnoGAyUemvs5cot10r06EanrJDKSn9kvTiRDRDpQCCIyAYVSAd/16zqtsmJI+2TSMyVZy2hNAeGnPaI9H3KckVv0suPz9FnoijQ/6BD8X2yx+8L6ShYFPjTvQTexd9EjfH5L014nxLs52UqyfLfH1n8fr3c+AGJr/4E33PfFn8J+zO7HX8enuj15IAVhyIpHb5IZFNlBlFWRKZSGlywxpF+RnUSW4u8AYueyguTzgJEmxgDFsilkAMs21dTvsPX0a6wZD+JE8uSJA9uvuU+2Y0z7XLZ1p/b5pPSAD10H8n9SumFc1yPwgW3Dx6fKpbPjsGfF4u+tWNUs0N1t1XWjXoECKe0kcQLeZG3tzAK+st00tz8k2YWUIoCO7+f9rfRsPCtz4AkV+HgafJ9K/SCW3GZDJMlvPCjdARlA1nP/5tNut8qEIzcU87w7pIujjH9z3xnhh0t+KriXYXIyOL2JCMA7RsEXRedTBSQdAsZjZCREEBFBIkEqxcjhPicnpBfQO/jI4B38acd9sjFk1XCAEgFeMuZ6Np2wtvZ9uscRW7myxZYtb5S+G7JW2SuId3zmAdkX74fmB6nJThEk07ztl4/LfeaSBXJ4lN9FZdSbvgchLR1zap3xG9D91TU0Im+WrSzT59fo8zocWxGIoYF8ftYWdoQgCVlb+dgKcut2bJVwFQTW7YPfJ1uVSC1sH9dNQZh9+/ZI/49J9/dacVGzlZdusY0t4KvsdOYMXwVZFJnjB3y99OzIFaQxsnT2V93e4E9AcJ0jUxhbhF0Snrp05dZ2Speu8DsN/i57FckeUWbqutz3XARhjhz8urd5Yd+kntP0RQUHV1ZF24i+Pvp6Bn6H3IJY9N7dc4ke7JOva8j2aS19r2gPkt1FtuWU1ov+eDwzSSMNjTOSs17bIL/GsyIha73nKtn7wts7IvPSPyPjB+AgPNj7mGRKcgNP4y2mNCcX/ZCBVN11B3stTEqiEhjMA1CycQSf9ux91fmY5577pUzbvf/rp0ts/fh/0YZ/URsfcovMGkqDYkKY9AC1gIRgrjnZjaZ1nEZ4p+EgQcrGs5QyQssjrFq0IDDeNsqdIDDoe0WKJSeo0diP5oNllYO2bFWTFcvZoOP/xvbDErYT2iBRJjhE2dSIALg29c6dUr5SSJzqEeOLvqgTEy9KQZM98pSXVOB04si2c0pGzZgVCCwsWdngY10RSjiUXof+Ho15iTBc9ojEmDeuh6B40Z0oIg1797wR8zSnAJmrOw/mEccfRyjIG5TbK7pPTr4iagh585hHF8rKtnrEY+26Ht0nJ2BxTDmknhweKcFxIqo4cwizkyVhLL2MS+sUzH04V37aCIYhzygwIiqURX7SyKIfOcEF4MnZ1PrRP4n7595JQaYfWgC7cORpRknpZGFRn9U3Tvs99/SckrN8XsII4GKt5BBOflHP/Zrmj0yFN0N4NYfsB34mK46jSonokMFHaSqRik45mbW1I7ZufavmpdQqqittY0e7g4WhoW1yOMf0vxEJT1lbSQFDREFIXb58aU4J4/QnRYxiTQOlzEjKlvdAhqWoN9fimpGtNetKf2Bg0GrrWgWemgRmBm1j6z5v+Oj9OeQojFGOSMaan+hJxl+sFTJBRlWK/qSMEj+5QkoUheO90jxl9EfRqFIjgb65VHQBxjMcyqD1jLJRHB2Ubir3jXR0mtjvlDPPPZGJ0dwyI+dji5X76aNHZCzOeB8Ez6TyqBD6AGcsTozhOpSSpmw7l2X9jvXbBQgBLHhm5E2t+QUBxyNWVT0iY9mhsdGq5Vy0aG90tBMJPx1OhZycHeMvyIF6RYDydc1PkFso97SXPRUcUt3nSY7fKRw7gaps+M+Mk9+3U940Vc+v96Or0F1cD3lDR/zkJ/9bpvHuvj6qL4gtCBwAOGQEpEYiJCC4PKtWe9KzlCAj0M0CEQ4+kwOagdA7DpwVDeyVByIOynHU/ofQJ1oNCUX028kn2YguOYY0NC0t6bcNG3o9A4YoXdiQc+6MAADS/ZJtlgbkEKQXf+OZeB/kAmAaR6W1dY9VVW23des6bOnSOluxQjaR3pO14/pMCLQsa0t2EaDPPQVJI/nV9aemKFvAwUH3BFnDcJJrP6Q19kv6VzLO79G//B9BIO4dh7q+dlJ6bdRojA+Rhg2F0CPTxEkFJxaTU5kRID7HgHyyLgFpkCC58pJcBleO5HIHKsu+jBKuHPEBEZkybyA/WE/PLJMdxhYxr+5QbpYNlV5D33z600vsgQfX2uo1AlmF3bKrA3qWMWtsmnZ7BWlIv7+0RvgI3ktJz0/GEpnUnvWWzRnZbz70fWRpxV4AQDHnARy1H7q1H5qmtB8225o1dVq7CmtsaNJ69mptIwpOOWK+rUrkFnYKOwMZhc3BTj0pG8QJVE8+mbNTyVYBINJINovB//H/XA9Si0AMQIHIO5/f1bXJKsqaNC8bI+LbwYmXQfJBqpDdPqFnwx+MvRKEETYr1jXIrQTAKcWB4IK4ZB19LfO+9589eHbruvK/OMr5pBbkYWTCEZh8TnuRwxloSr1fQGHIwXOP9uVchpnkhz3AWs3Ovql7zYhIyb2X/WqwV4K0Zd0Ivjw3R0xTIUADfWR39eoWrdsWa6if0OfNeokgZcX4Z8gnch+Euj5P9+dz4/acqHhk9aE7cvoFgpxSJPYuADgyx9ApyCP7BjlvqJ/Wvt3txDGyjxz/4Ad3ia0P+/XOB0Bs7d33sgfXAbP4UyQPzOEr7VF8qZAreu6QQHDbAEdlvrhnIOb9zUkVdGJGYHiWlpMYEChkJQoHjQlfya6QSeol0ht3y3/eJj+6W7ZlxLPo2Xe0z8AnG9x2zXthjUiuaE3BaX0+ILP0M+X1kFMENyC1CIhSVdJCa4sKgvIdtmyFMFVhh1VWD1mT9HHYqSRLKTHhGQ++7JGOgYiC3IKUwuaSDULmGb4fAZKTJ6LEzoMb2cgPQiFzJBgckr2nUf5u6W4CDWSxQBiXlQ8KO/To6za3Y2RjItu0uOEkOZ4XHLYzI7ewgyRIgEvAdykIj8/rJIQTEUEkobOcSM8GQTVG6B8qiSjfxL4SFKNkXX6y9gN2n4oWAuDYIXQwZeH0hFy4qNaWy9ZXVZMBHtmjYMD+jHzk5Dt87WnpPMgtDifwoHB2n+wrH9JLvh/02YE3v+D6i0QPsr82bz7ttrBcmHPN6nrpvxLtiWp93katVZ903ohs4aT+f4/bDuwV2CdlGkNCYasgpFJljNusDFclPJVvp9Lg98lWgcm4DsEd7CA2kZN7Z4TpBmUzm5o6bP36Rist7vOMrRTMQ09Ckjq+0tw6IckcaJ3SKeskZrBfPMiQ4d5cogc2KcpbqZSZG/rZ7RXvcXwVFUxgaU/20L5L+IpqmH3CLZx+Py585TYFnS7/rFzywFdaVeAbeNWVdH4Ejgig4avm9hhf2XPsPRJ2CBzybKncF/lBluirtUZyVljUazV1O3wNaSfg8iWbyP6IwyDgc8gUTZgzspkJ8EZCRbSY8lL5bE48wSV/kCXK80NqIXNwOkdpGfSO1ueLniz0zLPfyLTd+79+qsTWn//5/6yJACSEI7xnDyn5TEgoYATGSS6EWQ7/YZjpfwgc+N9grkn/DhDsSnc2Tn0irZVFw8Gg7xUpsv0C293dpGJO2PqiHlu4pNaKSqK5KWUQ9L9iQ/fLEUUZOdNOdAGlSxRB1/KBo6nfAc6pG0eAcdhwYCkzbG7dZxWVw57uuXhZjS1aWi0lv1G/2y7FMmOkhTujL6FHePxERqIMrviec2fWSxO1acguAkhB+MRcke122/Dorp5Z74PM89p0f/YXPe13RPfozLmer65upxVJeFeuatPG7QzDQ0RFSnir7n9IDhbplxgF7wui6zjJps8P5xMAR5SSSFCkOkeKvIyDNjKbGaDhdf0MCXsaXhsuoU0pzayjGwxdj2aHnpUDGTklQdPnJ9KJniaNUr4FhT22VqNGz9DSSubbcSnsMzaw5aINbxdoGJEyHgc0vOQE5IwULcqIOcTgh+KFkITUigy7RJzh9JWXD2hOmgRUSqy0vFyf0ab90Ku1HZSRGNV9hQJO/UtQwPnkVoowJCXMQKGijJNCZkBmJWXLe3h/IrUAIFyTtFw+i1OuNm3aLEVDZL5ee2irFK8chW45Cp4NQFN2IuBkUGitiAYBurVWGGJ3aKQgmW+URgKB3vgREKjBqaQ0UPfhEQcpH5SQAGJEvaV0pJy8bFTrS/8ugCXEEEQUipNowlw6+rZLWpcT3sduXVGfFZcOaS4PaL1Oaq7PhqHX3BO1Yz2C3MIZg5QDCH9JXyFosz2NsZYsTEDS6n8AiETDAAalpYO2atVGzzSpkPFs9FKgA0F6upEmQ+xpyeyLWr9X9FkAR5p40oeIyDukOnpE+uQoBFcQgVEKmRs0+MQBOnaMLC36CdAPKfpqcY8oeBT9X/7kP2Qa7+7ro/r6r3/3f2rfXPF9BrnCnoYgolcNgRKIFnQiwBHgSWYEuhlyihFZHZFp++4RJWY4hbzXdTeOI3pbzrKXCkr3Af7pbYXuI1urtnaH5L/LMz74vrWNqDD9GvOIE9khiKsg5WKQMcLvcUYIogA+II4oScKZhSQrK+uX3mu1JUtrbPHiWnfQsQs46JR54OhQ+uifI9nm3gAOgBDsq2dvaV7IwOEZCMxAAtw++DvvB2xzv9g/7qGmaodVlG/3HmIQdvyeMkuADXaAYA/zzTxHG4PIHk6+AMADm+I2B+dSegpiI2Vx5UY4UCnzkvdho6JE7VZSK4hG6R49C0Qcc4peo8ymsXHcVqyst49/7CG7775V+r7R1hZEE3nKoSlHaRaY86wtOYOsEeACQpG5i/0UvgQEBoA0zR2+kWfYCZBBgPH8zDU9zpgTgCMZY7U1I9oPndJ7VVawtkyf2SD92iV7GVHwyZ073X6kEo8EFlLmFoRUAgzJRiXblEYisRjpd7wnBWISqYXNItLuGca7d2vdhmWjmA+BT/k9BB8om4iMePrgpJ5S9BeNkkR0KH6gE5fyB1iHyExK5Xesb4AH1taJq2z4z2djzRmegaF1DZDK2uJrpMAn2XBk/+LUyz8CgOED9AmQtxH026a9OOykJP5iZG2FDkA2U/amy70GZDSy69mRWr/IrmPdnnbZIxOs08uIR71kdcWKZiva0OunaHIyIqQ1+539EXIVn+XARNdyPaPPYO/74RCaH3QIYBcZYJ7mxhz58GWPxHMfyD5N42trxj3Tk6bAQdhdsR/84I8yjXf39WG9Pghia9ceeuMQKHzBs2Xwc8EByFRUfmRkRMJXtwwycGLvMNhTnmTA3sq+5338L9eZA8Xoc30W+3SH5GO7dCMHjXRrrzc1T8p/xqa0W6Uwj2fRE2yUT9bfd0525KL2+xUnUAhyYrPcbvFVP4etuuIkWF8/mOqUbOABq6mZsJLiKJlfsrTW1hS0CdgPym6QXSz81pVVnniLkutuZ0gWoKUJ5BZ9hDiJNWHNQwflH+v5jx7+ZTsuH9mzo6RzfPA9pF5GFEeQVdgSUkvPPiWbR49fTpT3fmLlg46nCgv7PEuNcubAk49Zn/xQTummfzPkFplbsU7gO3QHAQ1aB4Tvy+c4CZEN9yvkJ0BiUQK5X2uwH4IFPxYSk2tQVSTMQ8UEmaKQg24zNBccyNLVecQxDqeycp+PzCsXzmmz6pohrde05g9bBREX/jnr4fYd+6T7xEcnuBz3eetAPyVSa0w6fYQgjHQfvgIlorS+KS7utVUra2zlig3CWZVaz1atVY/Wert05bjs3ox06V7prgNur1IwJpFb+cGYRHDl26xkp/KDL/w+2Sr+H7sHVkv4iqbxJCxs2rzZqmtbNC91us9Nmo9dcyQOPpP3MZVvPyN8tUdrlcgtD45rb+A3pGoziCnPMhau8moPhvwOzzgm4JY3vCLEfRH8kEj2SGSq77sMX1ENA67DVtIrLarCjll905SVcBhJ7YTu97BkhSqwKGuHJAb/Uy7I/uJUTgYBeHq9TUseyJYks473RrXZBfcLyUAsLR2QnLV5Jr8fdiJ/s0PyBe7iYK7tev8owU3JVpCf0jXsT3wz2Vn4GRKPHHMyJ9hqzUka+QkvngyjOcBeOy8gW4Z9m93/lk1Ov+A29Jlnv55pu/d//VSJrX/zb/4nGW1S2CBN6DchJ4FIryYY4sFrrHEUJNwww7NyYPfLCYERvtPAuWV4llLGQiJ0KF02AWV9kzsRcErNIpMKkLBRzgt9ilatabZHF1RakTZygxzVFndEg3DihI0+OfFbtYAAY+qkh3XvIzuIMjwhUC7lO3zNTz9ECXD0ZgILnAJSVz+pDTcgZ7fdFi6utPkLy23l6mYJTZ8cHD5rrz7r0FwkPMitK67YEaIJKZSJcQGGnfRbyBSgNg/z9F7DySyc8LRZYc13AJA4TYTT4x5zZVtZOeypvMvlYEFulZUPWDOnFnUdsi1SgNt0L8N6ZhwsnDNSFKnr5TOIugPE9svBcvB2iCgiIINMhch+mQMbMgowr2zUNJKhwAlDIUT0NKsL1/rxGV6bzb1r3QASNPpv79xvNXWjtnJNq62SsayS4aB8tIPMN0607HvctnPqXkZucfojJEMYegEEnE19z7zQj4tr4/BxfcoccS7r6yesqGizrV7dZMtXFtn6oiLtiyYZyy4Z4i2ax2EZpAkpilzaLMoxpc4mJZxAQ1LEaQAgbh+8h/fyPwkgAEBS5JvPglTb2N4hAw7grLWyij5fLzLMAEwRVdBzy2DSawsyl5K4WCvWSU6wHBNXwIngOhGlUh4N94EyJpsL0ABAiJGAn5OVlAfr/1jTcKDl7GTrBhmJvEVD6mua0zOaNznT9aO2dn23ZIyDE6LcF9mCOB6UY+2nFsoIu3IEDO+B/ZeSFOggWs2+J8uTyBENLXdoXYdHUOw0jcdgTtmGDZsFFlpsxbImz2iprxNg8MbXAfppshhOzjPaE+wFwGMWLdsLKRwEl6cXH4w0axy9RHYF4RUZNl4aeYhoONmFX3U9xXW49wk5Ohidv/jL/yXTeHdfH9XXf/2v/1/t4fMONgGAEOw4yZDhKSOKTCWAMVk1gF32ayK7ALyJ7AqiNoIPPiQvOMeeAo7u1v8is66jKI3WZwBwITFSyVmjHMPKigHP9lgjZ7SmeljO14x51pbkgCxknDAAK44NpFEaEFn8HlIKWwO5QLQP4N4sR5eTnIqLN8uJabKFC0ttwcIKbypbVjYo8D3hTh6gwUs99Dn+Gbo3nHqAO/OCneDeY5DhHBlJgHwf0r0B9p/x9zOn2Ev0Ls42ZEJJyaBkN+tPIjsaTiXNd6NhvfdLYW41r6kk0cGX7A72xPuTzJEgoduC5AqiK4isILM8wCKHy6OD+h+CM26T5JDRdyKRWqxtlCA+5c9LFio9/aqqt/lc/cIvPGD33bvCli2r0do0ezki80Y5SmRtYecjs47nSfspRwxiqyJjgbmB6IHU5Ht+74SW3usgT/NO+QHEBPuBCPjaNdJ7y8ttzapiAZY6rVO7O+nbBBYIiExPTc2RW0TC88sS821Vvo0CBKQB4ZUGYCL9nvcCNrgGZBnXDaBAhvGUnrXfGhubpZurtV+bvP8MTW6j3CWX+UfQ0FsIaK+QueWyw/pq/j1DwbOT0hrnB9IAEbnBesdIPWjkb/i6puAZ4JzMSOwVPiJBzxflXz0nnysIZIAC2QwbNvR5HzuCJr2bItgX2VSx19mLM/rfIG+/qOtkJKTv8ed8DVnXIEIhzE47MR1Bs422fFm9rVvXKRke9T2CbEXmZYAogL37XoBKyQz36cRfItN8fsgYw7bflsWPHRPgQr9ABnO/XJfPr6kZ8+fD76QEeZt0w/e//4eZxrv7+rBe73wAxNbMbu1j9DD6V3YJHydIE/yoLIsWm8MAX2GDsjFHerF3NPjeiRQfkCoZviJDa09WaiZ7hS9N+eGY9vmw9u3WLWdtk+MrTsIescKibuGLZi9rb2qYtnb6J3Yed6Jn8+bHpSPO63+wTReciPIxgL26qD0rXac92rv5jHXJv28TpqJXF3YCcnjZinpbtKTaVq9tc7kiw7JVmIr+xV155AyBKZdZJ7eQ2ciOhYzx7CM9+8FZYZj9wjDy/w5D9JEdxdD3kIAMxyc+B0l3CKNIPinpBS9iIyG2Vq/ukB3t8GAr98updR1dx6xn02nrl44ZGLwi/S8cOUqm2rPyR6UzJqkGupWMZK1yQz+DafEXsgE5Qa+umWmCRS96QBnf39dDz4vNQGcNMo+a7y7hJILhdXU7ZGf7bMmSBnv44TJv31FVNSScEwe38CybhAET8U0Z3rhs+yTN791Hh+AiOMxI2JN7EO7U50OQoPeGhI35f4IYHHRTVTXsQZgVKyps2ZICKy4qtaamRtn/Dr1nq/5nRLpup54psozBVilxAPuSnziQj62SPbo9gYDBz8lWpQAM1+Ka2Cps4q5dM7ZteJvwZadwVb0werVtKO7xNgxgy1zA4YbbZbC4twqC3EJ2yNZ3ciuSB+aIHOGlOIEwxpkMX71r6PcefMEXcWz1bW/SP5fsIXnkc1hrPnts4hnnHfokaxuF16uFdQo39Ht2VXuH/CbZK7cj0u0jwv07dmCPsE0kelBxFnuNBAHwFLaXzCuezwONslUdBEFque4mx1WJ2GqGs+g8or38mG0Rpto2fNWGx2S/2RvOD7B3M9stW3Q0w5ueBZolvXilHXgyGxGAysqdhS+Zv0iYIABFossb0jPPSBectmee+Vqm7d7/9VMltv7sz/7GDTcOIhPpBI42C0qHSDiC45HLJDxSILCAIejvHsEUh8C7kHtaHY2liXoLDOvaCCafGaTWCXciSAEvLum1xUtrbN78Cq8hrRMAh7Um3Q7Dj4CzgJulXGHbWcitg1LA2y462cWphygqyK/NUqKAdRwj/pe61woEWRtjlYDI/IVl9sj8Ylu6HGKiy0+fApBDbqV0Vc/cIrtEygiWfRTGVU4tytMzBQAKDhLYmHcakDbPuYNMLTc9jMiIISJCw25SeTnKms+FiV2zpl3PX29LlzU4sQcZ0L5xn23uPW5bYWQzxYYz59FDXZvPdhAnZYZyz2XYCMDtf0tGkSwFHCwyEoJMcUJFmzQNNxb6G9ESnLJZCQFgD4HwrJxEao1Aal2RkJ7VvB71VOMyAbslMmgrBew4jr7Ry0cPSjnKWe497Up8iObkpDkPydhqDkh1JqsO4WVOyFyjgT5ZTg4UBFRI4fT+NVVEwHtkmBo1L4W2dt06CXSd/iawsGmT5nHAFTDkFtEFFDDRBQADSpgIQ1LCAAcUMcDh9oFyZvB3lC3vBWxAjiWli2JP2VqbBVSampqttKxKjnGV1qvntjIGsjUgRZMzHE0qIwsqInYoG3eCAQtah0hJz5GONOpDqThIcCUUYw4keATrm3NKx6N3uiYy6GSk9gakFg754OB5ycMxa90oY1+51VZor20oitM3IX0jg+G0k8HbtNcht8h+ZP+yj6em0QMQUAGG2dMAS9/TesbBbQEwycridBwnaZc32vIl9Vas9SMiFYCBrK1cjxuiZcgGjetxJubmSE5DOHk4cDGoSQ+yK/Zy7FkIWKKWlLF8Sf/3lusdjHoQppF6/eO/+J8zjXf39VF9QWyh0+nrgZPNSTBEkVlfHDecZfQiB0+EfiZriSAEEbLIXHrXEBAGvJOV4z/rvSkrh2v4Hpe+pZ8AZNTmPjmkHv3eJVA6bEUbumzp0mrpp2Y/fYkoKBkfECdkb27afNKJD/Y7mSbx9axfh2wryCxsFNkjyAaBHMj8yopByVCnrVxRawtkp+bNK5JD0+hkV6VsFeRWs+6B7CPPENO1uC73iFxFlth1v3eIGOYmRkbaMPS9R5Bl13C4IXkgprG3DfU7raJcgGXdJtfBkEFOShN5x6nU9ZnryAqj5DEyt1KvM3RaIkHQaxAfEXUPciNGlNo4IcJX/c2DLE56QGhhl4IUIKIP+Ilsb+kffTZkA/aC+aMMsayszx58aK393M/dY/feu8wWLyq3FcvrHCgUpXmriwwZnpEeI2SCQy4yb4AuzwjUWufPH18pN+T32F/mF+DHQTNkalGCyLqRrbVBDudq2aoli+VbLC3QPVVYc0uL9kyX3r9FunLYs7YIjtxObuWXJmKDsEXJXiXgwNf8gc3i78lu8f9ch+thr7g+n7NjdNTvoUa2c926alu5ssF9DvpWJZ2M8x06OQg+z1KXLBBAy2UoERWnP4gA6IEA2qyR+xRa6yA1I1Mp1j1lWqTAGe+JMh7+Dz/DM/DwLfU5yByyDMkGgcy91dTusLVrOQiAQMxun29kCiLXfVetVcqoCtmPAfhjz/MsXJP9Ev5LBM3q5F8R1Fy5sknrVe1lrMhdvQA5MgzJ7KUvBHwgt7J5yZHo0TfPfS8BCEhxMsUia0wgnQFYBwjrb7yX52MPAXbQIchWneQdHzUy5y7cJbb+O3h9EMTW1MxTHmynMoVewvhSganwc7A9jFtJiRivaU9BlghTZQPfPg0viQZfkeXh4PplAWKywyI4PKJ9Prztkg3IHvRKN3a0z1pj404rr6C5e4v86DrppS3a5+PeAoXTvLs6j1tPN/botHT8GbexPoQ7PPCy+THt2VPStSc8QwRSq1GYihPmi0vIAmsTdqmyRxdI50qeSkr7nCRuapyxttZZyZJ0LeBb+tqDp5JHbNAtSQKOYV7X85HxROaTfGQOFpoFj1CylTdcbwSh5VnHki0I8VHpa+ygZz03CleVR4bL4sWNsgPdxgEskFstuicIge4eqhUel05A/0Nw4Us8qXnEThJ0JRAf6xUDIiIGZESMwHu8j6bw/I8HQaR7uFboHWwGQazTtqn7hGfKtbbsclKrVHaL4NjDD5XYvIfLnCSsrNjmGcZk1PrcZUElDz7I5yEbD33ngRc9txOaeYN9xt/YD5EscFnPd9ETBrBZUaY5oDlps6VLymzRglW2rqBQ91MnH75N97lZc7Fd+nOH1mdKc5wjt8BCYKKUOJBvr5KtYmCvbk8k4Odks/g/roGtIqs42SqwXP+WPmtqbbHi0ipbtrLcCgrbrbqWnlLYqpgLfD/0O+vuSR7aB8gMuCGy/6KKCULKyRz5Ftiid+Er90HSz/G3lOzh2Co/2SNrwYLcQUyBW9jLWzW33dLpzfKTCBitW9drFRXD7jdhryLZIXpZ0guL/UVQf0w2ygeyS+mwfDKvNnOO4JLLHm0gyNaq0HUL1nXasuUN2iOUExNI3a05Ed5mTrDf22WnSFSSviFpBG4A241NIrvwsGzuET1LBKQ0Jyc0J+6L6dk9IEX573fsFJUwcz5ZjtRC7siC3rHjCemEU//9Elt/+qd/PecQk0EVDl0qmyAankUutYAuMAjxbQKeP1AwfA1BR8hJgwRgkqUlkCAhx3niM4PUOuiAt6JiwNaua7VHHpUT/2iZ0RuDOmNYf04txBHlvSjVbgl5D6AAZauxCWUhUM7v+FuXrks5HKUaOEYeAZcSLy7ZYmvl5EJmPfxooT3wcIHNX1jqyh4Hx8G3lF4bWSxSPD00k8fZgKTYKieKaIMTgBG9CyAlUA4j/66BU0UPFfqnRBqvEzdyxiA9MBo8P4w8kWSOJgccLVxUZQs0KKGoqtomBTQlo3PQNum93MucctM6oTSDZEORQbDJQGjuU7ZCckY9IrSXfirR0yoiQslICDToKxkMOVISwwqhBRlJGVsw/ggln48TTCSG0huY9PmLKvwkj0rKPYiIYMg6DluvFHi/nnNAzzuA4fA6flKdrzp5Msic6GcABQRiZC5gPCEjD8gYT7ryXbe+Q8ayzhYtLrAVq9bKWFXob03W2dnpCpj+JZR5pOgCmVsoyfzsrURwoYghud5r8B6UbQIHidDielwXJY/C57MxAkXFZbq3Uq1Xm/YPxyhzrHyUMWAstzm5lWVQSIaQi+ldmTOMI4zjK2URpTxBcPnIAMBcVBygkA1+dnCQkZSucPX/rCHrh5PE52DYAGbsF5oYdnQdsPqmcVtX3G1LVjRZIT176iFzZeS1Xm7k+8gwuaQ5FbhDD2j/kvEEQRRD3ztQAOyzrwPoRbnvCZdVetoQ/V62tNYWL6yygjWcajJgdQ3jAZApoZKcekni3OeQJYCRJrKZHJ1IB6ce3Z089rFHNjXIutFXfub3/B1jMz0NoRep+NHk9Lob9B//+P+Vaby7r4/q67/8l/+Pkyuko/f0nHIdCkiF3GCNg5QIQgIbhlPnjZ/lOAB0E9GVRsrkoPyMAQmMs5gPhtHbNHhlf6ObIJES+VQq533Vqnp76OH1tmRptZWUUJo8bJQRkp2I7YGwQp8xyExm8D3XwT7hgEOGozcovad8g8yvEtmjNWtabcWyWpv3yHp76MECWyQ9u85L6/r1nhHp2hyJhvPT0xvldejRRNbg0CKjPvjeBz9f9e+DpDlv/QSCJJOeMSbADegplxyvWb1RjjcEyGRG2ktupc+9Ob50APaHucTuBLh/w0moyFyB5KL0M0q00gjdFmU1RFVzg6zMFGgJQgtiwIGc9CUEGuuEX8I6Q2zQYoB5pqSsoKDVPvXp+fZzP/cZ+/znF8qPWK85k35e0WCF0kfYeJxDJ7cad7kNc3JL64o/4tmAg2QEnvc5uX0wp7yPzAPmmXVkvtBp7AeyFArWbrSV8i8WzF9vCxeu1M8b9Hn1mruN+pxNbqt2jI0ZjeQTuUVGFTaGQAw2B/uDHWLg/CfgMDey36WRb7fyQQJAJNksssXIHKuoqNKaltvy5VWeVUspHP3c2IsQSUFukcEW/XDwYZCRWOPIUnJwLb8ijchYigxIL8sjWKP18+CD1n5uzGWevONg1bO0tGcAJWQPBqlFr7nL2mOnJSOHXSYqKiLrgh5z9DBjv0MCsRbsASe4taeT7CO3jOR3cT18LzI5yIpCjmnzQACGyPey5fW2QHYK/wvimBJNyn2D/IScjmwJZIXPYF5iTsiARJfge33B54essdx4KRuy+W6Pg7TDh+IZ6usnJVvb5DeNuh+YMgi/973fzzTe3deH9fogiK3xndc98B5Ejval+1HCBfJzqNxIhAQkBCA0NyBKgkiJBu4RJM8NAozxHogUKiFGRiLDw3GGZAJSi4B4Z8d+geIpL23bUNRli2WnFiyiIqbH8RV6qzUjtzjch4B0j9vX4x7s5GcyOiGC26Xr2qRrW7RXG2UjarERlYNWWNRjK1c3ebLAw/OKPTmhcEO361pIYk79pE+eZ4b2UzIlrDkU1SfgJLe9HjyVnED0Ub6nQRsNsnB84P9p4DMnfALGIePLdYfmlCANBBIN8fm8uvqdkq8tkutWW7igxuhdRcIAhECdbGez9B5ECf465X69m05Lt+NPaM0GLuta4ZsSjCcI72uXDQ/MM/R7D85r8D5ICR8ZiR72NQgtglg+j237vbqjtm7Uyir6hW82ylaU2+c+u9IenSfsu67LbQn4CvKb7CrmDpsDMcX6ou8ILoEt8NHnRla9xPdkaEWyAJVLj+v/dQ+aG3wOcHWqhFm0qEg+xjJbuXKNVVZWyv43af179H9bpe+GpLfG3YYkbHV74gAjkVzYonfZK43bEwYY/A/XwPZhA7GFfA5VON09XVZbX6e9VWqLlxXZ6oIWq6ge8gylaBdEhnEEYcbls9GYnRLxSPLIsmhlj6I0kWB4skeBmaLUN/NB/GsOcxFQi0xiAulf9io1x8hgDe2/KO98UXjlWU8AGNBabJa8tcvXq+fUUflnq9e0Ow5qbp7W/jqoeUe3RxUYa0K1FrKKPYkhWzVE0st1x8Rbt8ITpEDjrFeU+QnZqyFp6+RXYMsJpE453p6zU8jWsGRr7Anhzac1n7LbHnyJrMj9egb62WGP6Z99+ChDGPNYFoiC7PJkiW8K+0ZbG+YLXw7MhexNTb+g+73iOuLpp7+Sabv3f/1Uia0/+ZO/8o2CU0tvII/4SjkglF7upwkny4gFRDEjzCwoRvq9Bn/36IFnKaFw6XdFvfc1T23FMYT5h6hC6ZEiW1TSY0uXV9rn711hj0g5FqzrsLLyrR7R4ujYRilnAAXONdGtDm0inFKAQ2d3fMXJ3CiHAUe3FeUhIaAHVK2UN9F0Gq6tXtNiC5dU2AOPrLHP37/MHnxkrT63Wsql0x35GrKOIGcETDqk9Lo7j9pmatBJW9VGA4wTsQ7AcNUVWACp24Y2a4D+i67YcMJCsZxyJUr5Fz29cKDYoOs9JVQO1vwymze/xPuDlJRulgIa9TJNiDbupdcjDFnGAqfLSRDIpKLJ/fgYJRMCbxNyuGQwSYXFscJYIIwMSI/ob5UiQER+5Fx61ONlL5sMUjI7rUvKGqHDeaQOH2DTrnlpkFMG6bRqdbM98PAGW76ySc+xXWuptWraJcdxvxToEb3/hDuhPDuAi3mAWcaBZr8x+Bv1+hhSJyMBelLoEI0bijbZau8zU6F5WW2LFq+Q0SyxmppafUarrk9JYr/mWoBhx6iczEkptxk5zLvdsUcJ4+gngotIQ1LGfM/v8geKlvfyP/wvChdljlJH6RLBoASytbVV91eteynWvRXailUNUmRbPV2WvgOsMYoGMJQcYgzODkB2lkIMcci849x7FpcrYqJR2dD3EFYoV1fMlPlmyjaV+vI/rnD1/1Em+EWtHUTy09qHkFqRGUmGXXPrLm8eukpGYuHSWs0tR8ZSPoqBPygZQg+wTvRbyIhI/T+6IKeAc1kL6AocfuQC9p7TpEiXLaZ5Mmu2pMr38yrt5VLtZU5gQY7btb5ks7Duruiz648ApHTfTgBq79KbjEaLacz1ZvOopvZy9jMZoTTm5CTUnRP0MuCkMjJRMOwR9fjzP/+bTOPdfX1UX//lv/y9O6zod/SEZ/DKWUSnOqHjuuWc70nWfU5HSx+TJRxAPTcSeQWY9iF5YR8mhxQHEvll/+BYAkYp0WuQPaIEcf36djmF5XbvPav0tdJtSGkp/ZxG3HEElEcpxoEY3Lv2Pr2YyEYlOxg9hw2AOCJDlxIEHJh1BR22elWTLVtcYQ89tMbuu2+lnM91tnxZjZPGZaXYxlHXw0RfW1vJakaGBU58Xk5mehedS4kJhExE310H+89E59G9J92Bwq6iC7gXdC+9qVaubNO9dOuZRv1euX40Xs/sj+YMAjkarwf54QEV2RUG2SpOeOBgvmtIr932Oy8JzbJcnPTwklCi4pJr6YXI7r3iugeCAptPKVe5fIVFi8vt537us/azP/tJ++QnHrAHH9SczVtnS2U7KOlcV9Bu9OqoqhSg01zzf5AX7CVIKrJzkp3KDc2Rg5KTDgqYJxou46zii0Asss6QkZAkq1e32rKllfrctVq3xbZ8+RrdW7nmrlmgJsrntwsseHNeMrdkU1JD+QP7I3sL+4Mdyie6bh/59ioN/jfZrD17dvt1IdDIMOawlcamRr+X1as3CEgVR4aS5oIeajwLkWXAF8/t4AlALtlBRhyAao0BkU7kJDKHAXmTCK9EemXrf6fhfgfA1EGsdLYAPmQyn4Xc4RvQMw3CEHBXLJC8ZGmDE5OQudwr+/AWEld2hD2Bb5Zkl9/ha/AeMk+Qh9jn+J1BmK0v7LKly2pt/vxS/7pBn0WZlpf7Zn4MRDo9giDFuK7bKukL9EeQ5pDj7z0IMEEQ8nzcI3sJvQDBWly8RfchwOZl+hEQ++53fi/TeHdfH9brgyC2RkYvCfBK326lUbn2peyK4ykqF6THnBBxTJWRJtpLaRDk86x4/1l/H785N0bHAoeBr4aFr8iYh4Rh37s/xn4nuC993tISBEppmcA2WUHCVvO01wvWtfvvkP90IAnBGPfb8QVJIpCfj68PEUPWFXsUPFXfKPsguSwTpuLEQYLwy5ZTabPBHniowOYvKPMMLsrr6G1I/+Dm5gjAoF/6t0BK0KpDAFy6hWApGSaUbNI6woP0ky/6qY600iBo4sOTJsIW4OO6bGnuCF5hu7H3yDpyhF4mYQCdQe+vBfMrpfMqvdVNUUmvVVQNevNtCC7PemnVc7fLp/DMNdnOnsx2ys7RUyyyecHD8g+8Bxktb2J4gJ7ha5AF6p1MCpvrdsMDWbIZ0mmQ8xyIVVbeL/3D3FXavcK9n/zkQvcnInjV574AWVsegNFacjBVCj6wzuwp31fbpe+2X77lK78nUJOCMNh4SMqOjsO+jhWVQ16ptGJFnXTfenvwgcW2eNEyzVex1qvO2tvb9X+b9TyD0lvDbkMStkrBmERwJXuFPUok1+0jH2/x3oSxUpYW1034auvWLfKX2qyqpsoK1stWLZHfs6rWSrRfSZzAT4nTPMmAuixdTMuXCDaAWxOuonKDrMYoHb2t5PeWxI7bR36iByNsFtdk/2EHkVl4ETJ5+7Qe+FzwDQRF1sg/o6UQvmBDI1U8kbXFPbOnAl/lB80uaK2oNruocUF+bCS+gCFbJX/1DVOebc4hJ2QXkyywRnu6jMSEmjH3/+ASsG19yNZ22agRstnIun4mw5r0Cn3Z+04m0g8M6fjyNuLPh773EmjmQ+/lfzy4KHuNzcOOdUvOnnrqy5m2e//XT5XY+qM/+omTQExMR+dRJy7CucP5PeelfWQZcdwozCRC7Sy2lOmdBqVXfIUM2bYNYEkJB6c9kaV13p0LADTgH1KLiCEbYI3A9oMPr7GPfWKelO8Gb6BH2SCnI5ZXbZciHXWnBsWKYLYCDjRwTPmerw4UiHxroTmRgJ5aKOCKqm0OtsmqWbZCToycunsfXG6f/Oyj9rn7ltiCRaUeccAxhWXFifdGszg2sKGQSh2amy4iGQCpVA4DiBK4Z37eNYjy41RBZlFuQvRDyk2KhXItWFYcJ++lAhGg518qh/iRR9bbAw8W2EKi8wJOAKjGhgkn2jZidDglUvfhzQ852UPzSlbQ0DYINUCaQNsIWTVPedN7GhamjASPjABAyIohKuQj63NF+qwUA2mRZOYQFSdlEpDHM9JcHEFrbzvo8wJ4I2V2ge7znvtWS5DlNGvuKvV7msi7sdD9tndAOh51pRqZFifmBuQmv6OZI+VwgFYMEoADh5brUY6zHMJPa/bQw8vtoUcWaW+s0zqVC4A16P/aNL/dmmvIrUidJXMLJZmUMKAhZXChTNPg59tHfqSb/02EFtdEuRNxJ5rR1NTkIKFgXaHWao0tXlKpeyUKRskdRNEh3+d+6IEMHHuEyB2p6SMAa81zlN8RgSNSRW+QIBzTiOgUipkS3yjzTVl1AIR4X5A8QWi94GuIs4TzHamskFrHra191mobdlhRaa8tXlYtGYhyX8o82IdEBcja6pJRJ3LFSYn8L3ss9jkZC2kEWECWIz0dQhInarc7SkTrVq6q9343j0qWVwiMb9hAuS99F1DEM9rHWQNnXYcmhJElQHbbdSel6Gfn5dDar2nP0oBzGsOlPet7mF4I9DAYJzuLkksaAwMgINGjdIz7xOj82Z/9dabx7r4+qq+//du/9wgVB31AsqDvPZNXeiNIHXr7STfKgYD0wKGLKFkqNQNc0J9Rdgxbhk3LdDXDHQyILMkrNjCAMH2vDutz5JBq39ZJXihX2lDUY2tWN8sZlCzNl6OxptNKirdKL23TPh+x6mo5zQLHZGXEPZONxddJH5QsYs8oQ4IMhkiqhtQSUIAgg9RaKp0y/1GBhftX2Oc+u8juvWeZLVpY5pklRbJVpbKN6OGGeq67y8FDS8us2xbsOSfUtstedMh2tbcfyb6XPpa+RSawR2RP4ig6SQNw0b3VydZWlA+4I7V8WaNHvEtLBiz12uqRHUCuIA7CsUw9vVJWHGVaZKxIp0kv0f8CpwiiKr4GOR1Df8u+Rklo9O9zuyS5v50Y4PMgGCAHWPPmll1uKwo3dNoDD6y0n/mZX7B//s9/wT7+i/fYffcvls1YKduxwZYsKbdVKylLbJPz3iPdDagbdH0EyYHuYg6IZpNNR2Q9hnRiFjQjcs57yHBiL5BpzvqRPUf2HidYrlxepzUqsYfkX9x77zwBqiW2obDIwQLBkO7ubu2zrW6rILeIhucDBuwOoAE7lIIygIfbR74Nyw/A0CSeTLAJ7JWuDSgZEDghw7i2Fj1cJOd4rT366FoHo5RoMn/Re4z+mNEfzrMDIIwkF8w59iSy1MmClO2SX+H6ORu5zKUo2wlnmrLe3GBdcz9HuW8qlU9kJf4SpBbkb0P9mOZ1s5e0I2Mb5A9SjkIWg68VhKT2MeQ28g7h6nKrrz70u+RrAHZp1g5IZO1qHfTKJxQAX7Kkwh6ZV2gLFpRIppv8BC7KqII0zvquas978Ff7nuxySIREmkPuvtdANngPmf48H/fFfaO/mHeeicwJ/FXuj7n/9nd+N9N4d18f1uuDILa2bz/rp3iybwgg0HN2a79szVaI18tOdDEgRyBK0qAHFRgrvup3c4NKB4b+j/1EooB8/8juCDDMZ3k2sHQVzeGxV5QdkiiweEmdPfxImS3yg0gig5Xeg5xoWF0V9gpb0gTJhX3VwNfn5F9K0wnWQAZV1gxZqXy5DWAqXXfFygYjM/ahRwrs8/etsPsfKnCfHdKYYC+ZkZ5ZIv2Cjd7kPYcgzy9EpqWekwwjCLsg8aI0y3WM4xfZAAF0yC/+RgXBCL2VmR/mS/OBbcdfBU9s7NgvnDjpvij9FVeuaJK+K9OzbxBekf1c3SD7Tf8m2YDqbY7B6usk62TxtsifgOSS/ewiMK/rRf8xSjPBxI978Cz5whBf/Myg/xj3wPuorkEvRVYvlUOz1tw640RHbd1IZGoVbrTlK6tko9bYL3zsQfvEJ+dpHqWD1tAHkbnb4n5Bk+aOE9e7pZsJqlDtQON5b22wJRIFUrCKn8mKQ8+APSLrjv0gGy8fHx+hVutM9isYewmYc95au+ee+fbwwwv02Ws1b2RtRSAGcot2L2Ruga0oEwQPgYuSvUq2CluETYK0yh/JXiVblY+xsFUJW2EPBwcHpAO7ZZMbZKMhSKmqWmWLl5bJxlNKP+p+Hy188M/w7dDFHmzAPmGbhGWp/OAALFog+YFlHhjPguNkBMrniGqQHN7KDf3dfZTwSTzhQ7YMQov9N4y90udt1eey3tgXfC44g5LSLbZMWHjJsnrH9ZSakrXF+rP3AwMLY2lP3Tpkq/A3ZbOoOCPxhWQDWsVUVo764Qzr17bLH6uzBdrLK5bXW9H6bquuHDIO5vIWStpnPWSGbT0rvUIPMk6OJOiY2WfZXRrt79YceBAKHHkL2UclV4yohsmwJnOiOSBoSZYpmfrsNXzHp25+KdN27//6qRJbf/gHf6GJEVBo3C1FJqGGjJBDDAHjaag4BppsGgZu0sPQvwp2EWVKyVI0FoyR/3Mw1kQPJPCbcUTPSEmckoAdkfKY9c+sqR5zxQpBskhO/Cc+s9B+/mMPS0FusKVLG+WAtcsR7ZES6vNa6Qqc/9pxq2sQMGiSM9+sMfd1WkBBTrk2V60UcHXNmFUIKJBVRPrp2nXaFCtpblhmjzy6zj53/xL72Kceto998mF78OG1Xh8Om48yJmKOUiR7q75uWnMjwNC0z+97YxtRDBxdnF82qebGiYDbB5s1MfVkkoVTTM10YxOlLFMeUSDSzPG4K1bWyrEqknO+yj77uTiuHIMBgPF6azIA3ODs9XsAoHR3yaHTvOYybATcNPep1ISIiKeqZtkK3hR29CmjoTklJD5kJLy0DEKSaBLRCKIPHnW4mIEICZvA0UZILe2TuppxKyvZ4iUeD8qIff6eFS5wRYU9HuWntri2dqeeU4ZRhoJSN8hT0n4dcEnJ4iySscfv+BtNbAGspEajzMu1LyBeVq8hW6tGju0Gu19rdu99j8hAL3cHnYyppuYmzUWH7rFHc9AvJ3ybK0gUZVLCKYMrKWKUaj55lQbvQWGjbAEb/D/AA4XONQEjRL6JZgBUiotLdH8CCfNXaAAYWqTYtloNDkKDHAPtF1c2kiHKZfulhKnFBlhvx/H1DJKsTh5w4IRjEI0+cP4BAaRo7yIqHoPvc5GrL7jCxfBj8CHOiNpAROFMYdggDClxqqjk4ATKfTfYvEeLPUuwsipKcwDGLRh1gV8IuRwJiRIWaEAHbOL7k2Gw5bChqCHDuD6EMiARkrpgHVGoajkThfbQA6tt0fxiBwxFxb2SK/byuGQppVgTDT/lxph7vpXgIhNR+9X3LERtjNQbiFNCyVYEQPi+laMHyUtWKA4IBgOjzv761//632Ya7+7ro/r627/9O6shgxdHtH5ce3qnj8amSekBUrLlQLTt0iCCJUBKc/UuIlmU6ZFBKQcVOXQnEGcwHELP5sARBAijswUuU6kg/R/Z25DtgATI2SJIrTXtRu8OyKz6ek7vRSdLHmTfIJQg9XEiOc6/VvqSJtE0+0S34ZzxlZIIen5gawAAAG0ntVY3S59W20LplIceXGP33rPUPvGJh+zTn37UHpR9WCZbtWZ1i3QggZitVlWZgAngQ85zwx59NllhsjnS2W1tlMvR0wNgz9jvjliMfX6fgBd0L5lHkFrFRZui/8bSat1LrWw0/UmG/X0BwOVAae6iByWZcdfc4QniA51GJgt67VknMPJLtlLTeh/Se7wnEVjItmfSabhcA/akD8IeRbk64J9SdcgBMq/KSvtki2rsk596yP7pP/3n9v/4Zz9rH/v45+yee+fbgw8uka5bbQsXFeo9lVq3eissbNEaklHAM/Vr7rbJXgG+dsqhlo1tJQNuj+YM4nSvfpb91+88u879DOaZNR3Vftjm60YAZg19IBeXOxl5/71L7TOffsjuv2+erVpZoPdVag81ai3apPO6NXf9stcDblMoo8fW4OBje7BX2KFks5K9ms2G267bbNZMns0alb2ilxfHpW/ZulV7uld7mB5wFdL/a7Wmq+yhh5bJ3yBrKxo9ewabk1vRWJ/9H+RwyIv3mZJ/QQlqInQ8a4mMC0hNJ7tivSE3CbD40O/YC4wgxOJ9BM8S6UNTXYIlkGnYFWS3SQCwSvZq/fo2W7igTPdaLnvVrWcg207rJF8hsiGD1EZWHThA1nYd8Z8Z+BnYGd7L+pGNSPAJUtiJSAHwhZqHByVnDz+0zpZLttbr9xVkbUluyd6H3MJX4bphr6IMEt+IPQlhhd26dVyaG/hlkITMJUE+7gV9QusC5ApdQn/S5ubdTiz+yq/8q0zj3X19WK8Pgtja0n9CtojAeBASBAS84kJ+SV8KHGoPMZycAFtJn6ZgOSXwPgazrwPnva9wkCj0EY5G7g6IpY/BJFGtov0lWUY/QY5EZk6LRpv0Or21CJQTtCdYfsD91Ab8etmqmppJ6UN88B2Of2pqsFcxqqqHvPSwuLzfCuXLraVFiPy6xUvk68lW3S9f79OfXWSf+/xSySstXuKk0Qr58hDJkSELAKeH8XEnZ1yG9EwEnChPhMiD6ApSmEC9cIn0RP7BYGTJIGMRjIpqGHQVsgWeaGoVtvQsNT07uE/YZN4jRZ71fP/9K2zhQvnqqyD3NsonxYb2W5X0uJf3S69DaHsfRoIdBHyFVzwYBB7O/GL3g/GP9XXuew0IcN6HLnLM1y77KtuBj0L1DQeclJX32foN4NEae3jeWvv4Jx60f/Gzn5X9elQ2f4OtWF4jvdzijd0JmNQIxzYJ17YJT3EIAAdUkS0DaeqBPPk28fl8z/1F6ShkFiRdW4tsGLargYSBMen7yFT1hIEFJT4nn/nMI/IzHpZtWC7bWKT31UpPteo6QW4RjAFbEShJBFcKyCSSK9kqgiz5Ix9rYa/4n0Ro5WMrssP4rI0bNwrDE3TRXKxYaY88slT4b50TfiQ70BcS34Z5RqeiWyPDOOwS2CDsEfYH/wI/Q/4HA4zlOOsFr2iKnqoE0uJ3PiDFfECQhX9CwgcJCezP6JcWvghZdO3CP8wt2Ab/bf7CKluwsEbrJ7yT9fVsQd42gq/CT2Q/QV6lgezS820jeMrt1T5POMBvLCsVFl7fY6vJ1lpUYY88vMEWLaywdWs3+onznnGp/UrQEfuHHd269XG/T2wsmCl8rOc8OcADS2S1eQVX9PXz7DZ99fJfDQ826u9UzUxBEHoCwTNOHmLT+Axs1c2bb2fa7v1fP1Vi6/f/n39mNXJY66TEGpggMpVQQDh4ZEZpghFuJyM08Z0SbPpYkbVEqRWLmz8ACTz0HEiQoLNwRIsjS2uPFho2nT4i/QLBnX6aBmD7fjkXCxZWyrHo0d8GtYnl+BNNkAPAqND/lPsYsorq7VIS/H5EgCEb+hmwQJolhBmsNFlYnIK4Qk4n5Nm8+YVSwMulgOfZz33sHvvZn/ucvl/gETuceE5JJLpBFI1rVFXusOpKObFS9rU1O6X4KBuhfCTAQ7OMQgvKAxCx8aA7/e5oaYSR0QYlg0zzWYdi0bNDznGfgJL1G7qkZBuj1G5egd0jEPMpKbjPfnaxK52CNa1WWtQnxbvdjUM4dRFZcDBFZlBHkGwQEMw96xDpqlmmwkA4WDilpCwDQrZvj/4Tqc8K0ROEFSUB4CNrAbCHsvQ+MPo8nLza6jGrkKCtkzPG/X36Mwt1z8tt2bIqASGUMXO3yZWnZy3ofonWIKQ4bmTbUdvugwwBnE05qewJhDjmZcAoQaRUYvlyMn/KpdwK7N7PLxRYeEBO+aO2cuVqAZMy/U+trtuieW/XXuvW84cSRkmmqDjAIZ/oQqmmwc8MlDSKlvfwXv4HJU6kAoXONbk2JBoApaKiQs8qsLSScpdFHqGnFGad18cPaT/KQDZEb7jIJknZkERZMnLY1yUa69N7bsewQAJkDWQjIz+CNXHb0O88s440bCnc4VEBhKErTpzhJGHou6X4cerDiR6yomIaXVfY5+5Z5n2B1q4TuCvd7MC6VnPPOjXLCKJYAQQ4IA4YHCTIUGZkJGACJQ3gI2MCkrmmXgYzy2RZJWeHDAn28336rIcfWGOLFwtUaS+XaF29FEjvJ3PLsxB1fSJbNLUkYs/eZd96pgAZoh6VE3DORpRDai/7voVgT/tWjuJm7Vs5jhh9jlKm9Ivn/9M//Umm8e6+Pqqv//yf/6uVl27RfhUQrx+S/hvT/p7Q/uRY5QnpvwnbvGlCemBCe3Wn/kaGESczQVbIiYdYTwBVeg3b5F9xBLVf2OMQ7xC1ZDASBUNvEa2GTCsv3yKZ75Ge67SCtd1O3iPPZH+lcq0YgPY4IAWgQnQRnY0tA1CXlvZL7jRK+mIUb3aSihIEssCWL60R2C6VAyOdd+8SJ7R+/uc/bx/72L2yC/O9JBFbBQEGMC4SWCkv2+6ApKmJMl/KFdAtoeeHhyGJOPWQUqhLrn8AQjjsBEpcrzsIgrTb5EAI3YsckzW2aHGpHEyCLJBAAuBNEIc0rc+yEdy5zMo/t0dZcchprudRZPtQNhKD7yGuI7MlIu8AG8o9nAyQHkOm3Q6lIJHWCsBAGadnz8lhZC5xeB9+eLX9i3/xMfsn/+R/sH/6T/+Zffzjn7UHHlwoPbRG81oqndMsO9MpndOj/bDZR0trv55ls9XVUDKjUblV9mTYQVydAACRbUAgYAdA4EM2OEjJ7U5+EDTDX/DDTZZWyQEvsocfWmOfk0/xMfkXn/jE523+o4tlFzbIZlS57aDfVpdsVW9vr/Rdn55zi9srbA12B2efgEoCD9MCAoCB/IHtmgu+aNC3a0T/i83bOjDg14TQAph42XwN2VobtGdWyyleag/cv1A2a6Xsa63WXOBTursWcku6EiI3siDJOobMAUAB5jhQJ0id5Ft4z7bbiK4o8QWYRtYSf0trjO4mewnZ4P+D8InsBsAYvmYjpbBk2Rd1O8h7WLYKh37tWvps0Sdtu9ZIvpDkEqIVO0LGHTJ+Kxkp+yT5JVuSjAz6lEACE3xDbpCfZUuq7FH5fvfeu1zAbrlxUAOnxgFKysu3aa0hPKPcN/zgA24PmZPQHQKSkOayt/hLdxwZ8cB8BmDhfuTryA5ysMHKlc3uC0IsY1e/+a3fzjTe3deH9fogiK2uLlp2aH9KX7biV8nXQefOZc3KZ/cBpmI4MQJJQhP3bGhfpUG7jgi8SFYY+p8OsJWuh8+GT01FS13DhFWRVVVGqVuXcZru6tWd0m87HIhvGzgnf5PT9ZBZmotHXx+yj7r12S0tByRfOyVn4CjZK12HBueQLMUlm4RZum1NQZtjJfoVL6C31sPr7N77VtgnPzXPPvHJR6R7V7mNKljdbsUbONEU4kgYUz4mDesh/DgVEB81VQmBO8jep4QuiLyLsgPYgkvu13I4mB8Mpvfxfp8TnwcqYQjezMou7ApfVPqDQCotMbiPR2QzP/+5RcIPurf75asv2GArIZBIZlgvvSK/lWcsr6DqBLkflj5Ex5BQwD1HuT/+qg/0o2wgp9VBIIH7+B06ok3vAztz8BmBNwK+ZGOTxMABaQXyuyG1SLD45KcesZ/5578o2/Up+8xnsO1rpetKpJerPRhcqHsrK9ls1dLPdbqnet0TpYwtrZRJ49MIX7TPOrmSBvfnpaO6Z2w7NsztlrAVuAx9T0seqkwemad5uWeJ/eInHpStutcefHCebNlqrXWp9GWQW2T7clAXwZiErbBVYKtkq8BObqtkl7BPKTCTnywAzuJ9vB87xzW4Ftfk2uArcByVOBUV5VqXAq3dUtmpRbKpYasIuGGXSZjwQ6+0/vAQ7B3sCXgKzDCX0KH9TZCMsl8attMTjRJeMrtyCR7RE5ufY+Cf8H7sWBCrTqoKc9B/k6w4MvJ6kT/JHfvDDxLSflu+ssHuf7DYHn2Uw0jgMbSfKkbc9pB4gz8ZJb9pLxF8jH0DVkSGIamwgawZCR5FGzZbgfA2AUb8iweEpzhMCJ+jWJ/peEprzHU947qXw7k45Ie+6Ynse9KfixM6PcMagotTGSGunLwKAmtq54tOfjkJOP6c7eSUUNpKae5IfOGaENLILc/w/2/vTaC1qM58716r173ru9/9cm93ur91O+l0e9O5adtO0sYYE6Ntq61RE43TpybOGFHjHImKIjhGZVCCEygaJ8QZFcdgQFAURDEiiiiKiKICigPOoqmv/vu8u3hOnV3Te+q857yc32+tvTi8tWvXrj3Vfv717F0XXnh9Y7QrpqXC1pw58+LCixvLjw+MB+GDo51+OjAeiA+NB+LD485zlAs7/UweUlpbHXcUdVo3+e9Y1qDJrX/Au+UN8SDT8caswwiWgi6PHXnkSGndPjb4NWBqgqJ13trh/5/X3zraYINt3KRaE5W94nT33jM2cn8RN9i4Ae23TzxpiCcPagA7/ORoJ3BtsdX+8SChgVZGwv5xR+wI8rbSb9oYddNN48nLD3Z1+1Vp08R/2eA/on/6hjyi/iX68t+uF/0/X/pf0f/13/46+qu//sfoa1/7t3jw07Ky/3RCm1sKudk+cZrxgLTVoXHj1MAQT3DjAX/77Y+KtmuEH8fGzY+3O8J56Wy/g5aXxGUVD2g7NoI2k9MeX9vGk+L/3DY2juJGvtXWv3RvE/TQ+d73JWpJ4d3CLaX4iibEf/NP8UDzf6L//fWN48b8k+hH+iLQv+8bbRM/HDQxcyJEPKnToCWD6Wc7xRO42ECRQdbx9rJjbysN/Jo0SmzU2yH34HBvhCQGKHRsKihvGXkyeAPCvXmI61MTOHmZaYBUx9F+Z1tteWC02Q/3ig2e7eJBcOPof8UD8zf/+ftxJ9smnqT9JC73neKgN0NaKhMbXMqzvCxkFGiAjR+6Wr6hte0qF+3JJRFI+8Vowrpl/CDVEhgnRkqh/va2cSfePPp6/ND8avzQ/Jsv/3301a+sF7eXb8cDx6bxNbaOB5Ud4snrTm4Q9gKXjAYNxt5w0Ntx/8bBGw8SsBT0t39z4MUsP+DqXA24Wn6otLUEUZ5i//Ef/xHf7w+jDTfcMPrGN74ZT4zjcogfSt/b6GfurdjWWw+M7yuuJ2coaMKth2GHN5QM6o7JS8cXaA7YNzYS9hseHRTXyUFu08rGUikZABJx4kHVhUMaofF/9/ZKSzj0BmFAPODEkwLt6SDPKhkJMj79kge9lfr+9/U54U3itvXNuB9sEhuuO8ZGbPxQjx+cGkC1rEneCHrD1GEgNJb6ukG3w9B3S313jh/YegMV1+X28STix3o7ts2AuN72dvX2Xa3bjycO34j72t9/9V+jf/iq+ta/O5FSb8O3jPunDEMZjG6gj9NVO1srAHYYCnK1luEj4coGJ2I5l+u4zcbtWxNAN9mLHzTuDcjuQ9y+ELvFee/Y/+aQ6MknFzZGPGhXJGztsMOBcd8cFB19zLDoxBPPiE4ZenZ06mnDo9MUTu8Iw049Ozrp5DOi3/zm1HiSNTSOr72x9MYyHpPl9RobGU6g1YuIPTpeRMgDyE0u4ueb8+5QO3eiezwxjfuP3sbJY2STH+zmhB99hU9vjTVJ6PhQxzXRoN9o/4LG/kFyY9eeIEdrr8KL4rgj4rapL7wd6jxRlZY+kNIR9nTeI1oq/93v7hB9J55wytvxn+LngQSSv/mb/x39z//5d9Ff//XfR3//9xu4N6z64p/608Yb7xaPm1oePdS9/ZZ4oDzpjZvbyP0EfcWusZ+E2zdC7ucToqOOHh+Pg1raNzI+d5ibfGsptYT5H/xg9/g+d44N7p/E4/x/xn353+M8aW8vifYHuTfaKkO9rJKBppcfen6oX7rlibEhIsHD/yuPKxc0ltkQ/yaBQ/GsSC1hvuOrxn7/L80xOvY407ikPr3DTw53daI9kb670XbRV7/6z9F//a//LfrLv/zLeIL+d7FRsGmcz53jvO0bp629FzXR1tvjk6LjTzglLouh7t/jjjs5OuLwE+P6kQepNszfz3mAydNb3kHa50SeD97LTi8B5OHkDL4tOwxHGU+adP6bxPxv/jD6p/+tevuX6K/+6ivRX/2Pv43WW+8bcVluEsffKjaUfhq3rZ3j8W63eKzbM76vn8d5/Ll7Xul5o2WDEqfscyr9QsYbCBKz5J3lBS3/zPLPK4lnu+y6azzv6thb60c/2jRuL9+L/vVfvx394z98M87Xvznvv81/tIe7Hwl6O8prLX5mqQ9o7O8Qc/TyQWOzDAkt/etY7uu8H91LiA5PW1/fB0vcbATXDuJgPSxciNuKXmJob0al6Twc4uu4Phe3RdXDppvuFhs220Tf+taW8XNjt/i5oflYbGRveUCkL3Y64zPum/LelLGnJR8yJvWvDxKlOgTJuA7j+Kq7zTeLjcsfarnvjtGGetkZG71a5vtVGZb/vJnrg9rHrkNEkzffEQ3Br+ODA854dc9zGbQdqxuS7RYawQpfHcK5vGlOdOOQ+prKWt6f6vcbbvhT9+zUEmAdv+uuhxojHvQWdQhbu+56bDynOixuP/EzJLZbfvJTLV/Wc0UvBPWM6VjNoBfjmh+64LxpO4IzeOM53NrQ8cxyf8cGseI72ypOy23mHvcDbdmydTwubqGl0fHc7nsb7xLbMnvE49Zh0f5xfzvi8IujY4+5PBoUP7O0xEjLsdzyq/h5oSVX8lKRAas5qlaVSATWM2rTH+3u0pPNpj1vZSN9Z8PtYntJL521miKe6/39t2Pb5evR//yrr0V/95X1YyN8i2ijDeM55iZ7xrZdPK66OeahzsNEhvvOTvCLDfz4npwtuWeHuOe8oGSLSLyKw96x/aKgv/eSF/5ep8f9Tc8D2SeyL+N5Xvy81l6Bmo+6+49twx/FfVj7u37721vHc9Hvx/37n6O//fI/RH/3/34j+vo/ftd5RDtnhjiOXo5IcNKS9n/fYq+4/OKxZut4Hv+fA9yYr6XJyreefVquqX8lmHfYX3GdxvMK3ZPsMjkfuGWb2x3mnh//udWBsf22j9sUfpNNdo77u1YzbOrK6P/+738b/Zf/8t+j/xHbol+L7dJvfOO78fP2h/EYtFUcd4dosx/tEm25xR7xeKfVDhqP9o+22e6gaLsdBsb1o5fRepkVj03xM9GFOB87yfEibmvKg55Zsqs0v5fNKfFFe6JpjNvgX7eMvv5P34/zsYGzgbU35d/+zd/Fz4dvxeOStnvZKk5jh3hMWus4YO0q97xq2FWymfTMkg0lm8q/mPHBr3zxgpbO82KW0tQLGC9qbbvtNvHY++/x/W8c5+Vfndfzev/4nehbcX71Ekn2v5bouY9exbauW13inDo6tlCSjeucORoOHdrzrGPZr16cyW7SRu1anTTG7VGtLXcG/tIHvYDxHx3REteGqKp5ScMzUPMdvTTfPW63enGisVyiqOYB2prn61/fIn5m/TQuw72dsLX1VvLK18uwuD38WJ77v4rrruOljNpPR4jbT/yMcS9R9byKbbFt4nbzH7Et/KMf/H/RxrFdqY8H/R8t9/2Hf4v72/edbqB+uVXcTt3SeT2342e2nqVyEuh4NmsVV/xMds4TF0SHDrwoOkz7cR92WTwWXB4dacIRvxof/36p26/bbWd08IXuHI0HWgWmD8DtI3Fdfc85Kf06umDMxMZoV0xLha01az6vHj7vCJ+XCC5uKI0krDGh47eOc79IhUZ6nc4tE2z6HeGzz3z4rBE6/t81bii9ukPna67Nm/09dF4gNMqoa0iXZSiEzutIM3gtk9+1+bQhdE7V0DnNjnLpqK/0MR9C91BnCF2za0jfR0cIpReui+6Gtel3zkNH/kq3LZ1vQyhOMKxNv6POSlwvTt/muyOE7s2G0DkmpK4BAAAAkEcdwlbXeWrn+Uj9oeM6fs5lg71+eC7VCGu+SOIphNLqHLwN1RE+/bQRkt86x19bFmvzU1/oSPczhU7X7Zq/tb+l43YNaxSSPNsQvn46hNJcm5dPk7A2T+G8JWml0u8I6byszU86nbVh7bVsXuzvna/RumDz0DnEx1yc0P32VgiVqf2t6/11hK7pdAqpNDqXQ+drrD0vnWZWUD8PhVDcvLCmMdoV01JhCwAAAAAAoL9Th7AFAAAdIGwBAAAAAAC0EIQtAID6QNgCAAAAAABoIQhbAAD1gbAFAAAAAADQQhC2AADqA2ELAAAAAACghSBsAQDUB8IWAAAAAABAC0HYAgCoD4QtAAAAAACAFoKwBQBQHwhbAAAAAAAALQRhCwCgPhC2AAAAAAAAWgjCFgBAfSBsAQAAAAAAtBCELQCA+kDYAgAAAAAAaCEIWwAA9YGwBQAAAAAA0EIQtgAA6gNhCwAAAAAAoIUgbAEA1AfCFgAAAAAAQAtB2AIAqA+ELQAAAAAAgBaCsAUAUB8IWwAAAAAAAC0EYQsAoD4QtgAAAAAAAFoIwhYAQH0gbAEAAAAAALQQhC0AgPpA2AIAAAAAAGghCFsAAPWBsAUAAAAAANBCELYAAOoDYQsAAAAAAKCFIGwBANQHwhYAAAAAAEALQdgCAKgPhC0AAAAAAIAWgrAFAFAfCFsAAAAAAAAtBGELAKA+ELYAAAAAAABaCMIWAEB9IGwBAAAAAAC0EIQtAID6QNgCAAAAAABoIQhbAAD1gbAFAAAAAADQQhC2AADqA2ELAAAAAACghSBsAQDUB8IWAAAAAABAC0HYAgCoD4QtAAAAAACAFoKwBQBQHwhbAAAAAAAALQRhCwCgPhC2oO15+513o30PPSr62rc2jk464+zo448/aRwBAOj7jBl3uRu/ttt97+jFJS83fl03uO2ue929KTz2p3mNX2FdZF1ux62AvtL/QNhaN9B4p3FPfVfjIKyFcQ1aCcJWH8YKNvpX/+8p9BC98777o01/vFO07a4/j+bM/VPjSPfQYP+Lgw+Pvr3Z1tH4q6+L1nz+eeNIfSBsAUCdfPrpp9Gp54xKJmNb/WyP6PkXFjeO1g/CFqwLIGx1D/pK/wNhqxya12t+7/tHUdh5nwHuGa5+1BN2RxqErWwY16CVIGz1YVopbNlrKQw7Z6Qz7tJUHbz9RFfhZ3sfGC19dVnjSH30BWGrtyb0PEwB6kcilsQsP3YpjLpoXPT55180YtRLb40fraCvTmoZO+tnXWnH1oju6bmXpV0MQPpOfSBslaOqsGXDgCN+HT2z8PlGSj0DfSKb3h7XerNudL/+3lUO0PMgbPVhWilslfXYqjpAKH5/8NjqrQk9D1OAetFYqLFKfUrjoe9fEuZfWfZaI1a99Nb40QoQtvoP60o7RtjKh75THwhb5bB9smh8+eyzz6IlS1+Jfjd2vLM9dI6e5bMff6IRo37oE9kgbCFstRKErT5MK4WtsvTFwRthi4cpQF1IvNp1v1+6PqWlDPdPf9D9rXDDpDsaseqlt8aPVoCw1X9YV9oxwlY+9J36QNgqRxVhy6MyfPjRx5yopfN+NWhw9O577zWO1gt9IhuELYStVoKw1YdB2CoHwhYPU4C6kHil/vQvP9gimjl7TrRi5ZvRLwYe7n4beMzxPTIx7q3xoxUgbPUf1pV2jLCVD32nPhC2ytGMsCXsfpl6pvdUv6JPZIOwhbDVShC2+jAIW+VA2OJhClAHEq0kXqk/ScySqGWXJnqxq256a/xoBQhb/Yd1pR0jbOVD36kPhK1yNCtsCduvekpcoE9k09vjWm/WDcJW60HY6sOUEbZCHfbDjz6Krr3xlmiPAw9JOpT+1m86lkXW4GOvURTSg0bZAUUPrXv/OC06fNBJiduwjMj9Djs6uv3u+3LzXYewpTSumniT2w9M11VaWpuvTSezrq/7UbyioPtXOYRY/f4HzkNE1/F7AehfuUxPn/lI4Qb+RaFMmetadh8C1YGM91Z8SQagL6Fxz/d/iVneuHhy/jPR97ba3v2ut7+hfpmFxLGLL7/KfaXJ98v0eOzHkryxQtfUmGDHSAWle8GlV0TLXn+jETMfxRv7+2s6PR98v9d4UDR+pp8TGid0nsZO/Xbg4cd28mpLx1eZLlr8UnTGyNHRljvu7n4vGvPSKA19iGTkhWM7lavSU7pKP2QY1jV2qk4vu2pCpzLcYY993LWVr+4apV988UU0f8FC19aUrr1GUV2Hnocq03vun+aep759Ky21y7dWvd04M5+62nEZfPna53FR3Vqaea6qnLzhXBSy5mPNtktP1hzMCu5b/HS36NnnFzWOhNH9eS+V0Bdd1b7mznsqOuHUs5I+qODbcCifdfUd6AzCVjls/6w6vth+pb+z0LNs1mNzo+OGnJY8YzVuaBy56w9/zH022v6R1/6bHds1Bmj8UlyNiQ8+MrtxpCsr33zLPYcVV3uDvvTy0saRtXTnXi0aa/UMsGN1+tmSNa6VpbfGq2brSvdo088LWe3RPkvstfVcUdnqGQlhELb6MHaCWlbY0gC2zyFHJp0gHTQwrnxrVePszmQNPt0ZIMoM9ho4/J42WUHHlVaI0ES+LBo8NLjbwTIUdA/eKPPofkJx00HnpvOudDTBLrpuqL66Ux+eMmU+5Kzh0Tvv9sx+BAB9DX3xUF8+VNuXiCUxy/P+Bx9Gx540zB0LGYohyvRxP675sSQ0Vog3VqxIJrVZQZPKK6+7MVMY0kRWE1Bv6GcF5UnjQxb2OaHNeC+54upO56efVen4Ehz8BDgUdJ+63yw0vmtSmZeGjo278pou4nx3x06ld/Mdd+WWoY4pTvraZdGYq7E3lLYPusbke8PGb/p5qMm3b7uhkPdsFXW24yLKlK/qVvUfes5357mq9LojbHWnXXqy5mC6L+81qlC015/2CZRBq7jHnXJ6pxdzGsv01WufVlY493cXubie7vYdCIOwVQ7bP6uOL7Zf6e8Qr772eiIeZwUdV7wQtn9ktf/uju1PPbMgEaEkXEnASqN5jMYYxdF4oxfz6bS6e6+eIjtC4/Cj8TM/a1wrQ2+NV92pq+4KW2WeJSpbPesYJ7qCsNWHsRPU0ERK2M6rCcwvjx7kFPd5Ty9IJk9S+tVxfScZMeaS4MSqzOBTZvC2FMWX0u4nYL8++VT3JlJfNBGajMkTwE9SdW8hUS49kQ9NeLOw+ZMgaMtN+dCgrPLUcT1Qsr6qontTHKWlNItQOkpPdXLWqDHRy6+82qm+rr3x1mRyr8E15DEmqtaHsGWuczU42jKfdNc9ycMz79oA6xLWGJQQYCdJwu+9pWC9ubLwfdz3M21C7/uS+tsjcx53k0KNaxq7fbz0+GEn9EpP/dOnozeKequnMcSP7xKa0uO7/m8FKI21Cxe9kMRTesqfH0tUDhonQtjnhPL1n7vs2cnTS8Ka8uVJx1c+zxhxvitvlaGChKxzRl+Y3IMm1SFPInsfei7cdNtkN/4rDV8Wg0/vKCulFZrUe6qOnUpH6fk8HnnCEPciSdf196B6KHPtLFQPfjK948/3j6Y+ODNavfp9d0z3rk/We4Mk63lkn4cScI4ZPMylpTf8dpy/cdLk5Bmj9qA37yHqasdFhMrXtlE9F8dfMzHJ8+nDz+/yrK/ruWr7XNbcy1JXu8ybg2luJG8tHUuLVWnUH3061nCS0XvR+Cvd78rHpVdd68pFKD8ylGUUF5VRM/MOCIOwVQ7bJ6uML9Z7UW0+ZNvIrtD4pTjpZ6zGOM2RfXvPskOK+oTS6+7YrjZxxYTrXRwF9VX1aYsVv0L9t457FdaOUDp6nvixxN6P4sirSvEUqghbvTVe1VFXHity2bE4C/ssUdBzTHML3a+eJZpz6NlY5tr9FYStPoydoJYRthSyBqIyD4W8SZWn6gBRFP9PTz3thCO5W6YnqR5NyDWoKY3Qm0pbTrrHrHRCaKKs8zRhfPrZ5xq/dkaDnN4YKG5o0BS6N6WTVbYWDdYzHp7lBsyJt9zmBrI0GsR0TGnq3rP29alaHzJeZMQofp7xOmXaDHddBf0NsK5jhasJN01q/LoWeWnJW0vHNanxE6wQb65aFR101HGF/cxOMhVC48f8Bc8myyDlcRUyePSbjGUZvBKM0ujLUD6NrMmfsJNViSKhe7TPiTITKxtfISS8Cf0mjzMfTxP49L1KbNQSNY2degkRwo5xfp+0EFXHTgkLvv6zylBG1JmjfufiSOwJ1UUeag+ayGrJYNa5muTuddBh7hohgcM+DxWy2l/aaAg98+tsx0VYg+zE034bLF+1BxkZinf8sDM7zXXqfK5WFbbqape2r6TrQ+XhhcM8r1FryKvObDuSB8au+x7kjp19/gXBMhLq04cdd6LzyAiNN1X7DmSDsFWOZoQtlWHRVxHVB/SyX8fznmd2fAo9m4r6RB1ju1D+dR+h/Npj6vvpJYh13auti7x0lH8vEPlQRdjqrfGqrroSVYUta+9mzZVsPWfN0/ozCFt9mKrCliY7eXsvPDTrURdP4f4HHmz8upa8SZWn6gBRJr467mdr1jT+1xV1Wq+Oa5D85JPOS226I2wpTzpvzwGHRstXrGz8Wh2fju5V91wG3XPWQC00oHojUwZIiKr1oYm8HzQ1wc+aPNlJdN6gDbAuYNt7ltFoJ3N5RrHQ+Kp4Rf1M2ElkaPywEyON4VWx95Y2dENYgU+eH2nsc0IiTtbSR4+Nn+cZJOxYnydK6RmQV6beY0X19MS8+Y1fO1Nl7JRo4pepFj1nrQBatGQshO4r/Yyz6LhflvaTPfeLlix9pXGkA/s81P3n7cVivYD04iZNne04D1u+SkNpZaFnptpJVl7qeK5WFbY83W2XRXMw64mV1bbs/ckz0nvpCdvmQ+J9WarOOyAbhK1yVBG21OY1Lv5u7PjEm0fjSqhP2fE6azWLsGNU6NlUpk+oTrsztnv0gsFfyzszKH92CWJo3K/rXu3Ltrx0hMYju1wxy7YM0ZvjVV11ZedvRcKWnatJNJN4loW35RTy5qL9EYStPkxVYUtv6fKMjBdeWhJtu+vPXdzQhK63hK0i9JDSBE1phMrBllNVYct7bGlwaGbpiEf3pnR0r7rnOpDrq95C5N1XlfLVw2r4mItL5/OWyXe7uGozajsA6yp2c/g8IdeOkepL6lNpbD8r03esh0WoX9pJZJ63VRZWvMjKsyXPMBa2DMoIbVXjawKruBqTq0yCLbbMdP0QVcZOvfTQyw/FLXrGfPTxx26TW8XVv/p/3VjBKV1G9nlY5Fmo5Z4yXBQ3/dKo7nachy3f0DLgOinzXLVGdNbcqxmK2qXtK6G2b/tm1jhlxbO0wWM9IPKWGRVRpe9APghb5bB9smrQqhAtHwtR5XmjrUl8mvrbUlefyBvbPWobdtm2xKWHZs1JXixkefrUda8+ndCxNFYAUii6rqWvj1dl6kq/+zhZcxGPnatpj628McA+u8+/5DLGCwPCVh/GTlCzJldVOmxR3KJJlag6QNQ1oOhcpREqB1tORUZHGrnq+omigh6At955j3sjkjbo8vD5073qnuvAPsiz7qtK+cpY8JsIp79cFsIOyEUPL4B2JT3xyvOysf1N44YMzTTWcC5rFOeNH+r3Q88ekeRPIoO+aiiPD7/vQx7WU7doYiXsOBHKf5nnhKVqfDuhLpPfELaestKoMnbaCWeWl4/F16cmnmW/OlgFOzany7TK8zAvbt3tOA9bvkV10V3KPFdtnLL3XoaidlnUVyQ2ek8KlZfKzWLFxZCnhc73Xh0KMoRHXHBJpA/o6B7LGkdV+g7kg7BVDtsny4bdDxjo2naeZ5IX7/O8bjy23evFr6WuPpE3tlt0T35ZoQ1ZS9PqulfraKDjildE0biWRV8fr8rUlY2TNRfx2LnanfdNafwaxvaHnnqB1q4gbPVh7KQza3JVpcMWxS0z+FQdIMrE11tHfVniiONPTjaKzwqhcrDllDVRzUNvov0G8emgz5nLiMz7vLrQvSm+7lX3XAbl+7qbJ7k9TPyblqyQdV9V6sOWU9VQNCADtCur3n7H7aWgdp61DNGTnlyHluo1Mx4VjR8SmzSJ9W9obdCYKWNWn8O2m7Z77LhexmPK3qPelqa/jFR1klo1vp0IhkQkTWb14kH7MspwCZWJDVljV5Wx0+apSqjyPPCoDlWXqlN92juUrg3pMq3S/vLi9kQ7zsKWb3eWnAjlu7vPVdsHVAZKs4g62mWZvmK9S9PLR61HV9Ybf4lfV19/U7JEywaVlz7/r3Eiz/u/St+BfBC2ymH7ZN74IntCe/Qpnvpg3lJsm2bVkG73ZfpEd8f2NPJgSu9tmLUPYl332szYWHUOYOmt8aquurLPtqy5iMeWU5VQth76CwhbfRg7scxquFU6bFHcMoNP1QGiKL6O530uNh1C5WDLSQOuBt6qaBBTXjSpPnzQSV0mxBpUtXFz1psf3Zvi6V6VThHySigS8WzIuq8q9WHLqWooGpAB2hW771zVoElPekLVzHhUdvzQZt5yf9eysR322KdTXhR+M/SMLh5Cdlxvd2FL46/e4Fapr6yxq8rYafNUJZR9HnhklJ127nnBtLJCukyrtL+8uD3ZjtPY8u2OsFXXc9X2AZWByiKPutplmb5iPSrTS039MkQJXxLA8tBedzL65cURMtz0si+9+bSnSt+BfBC2ymH7ZNH4Ik9Gv5eUVifo63khbJpVQ7rdF/WJOsb2NBKx7IoT2S1ZG7nXda9Vx0ZRdQ4QopXjVZ11ZZ9toTHfYsupSihbD/0FhK0+jJ1YZjXcKh22KG6ZwafqAJEXXxMy+3UP+7nYNDpX8ULlYMtJA64G3u4ioUsGotax60tHSluT1qwvBPr86V51z3nYzRQV334+3WIfIFn3VaU+7IRYS0zKLGMCWJexS3uaCaH+XrSUL0SV8cPywYcfRo898WTy+WeF9Ibu1r29aGIl+vJSRP+1Vh3TPS9c9ELwZYMdF7PuucrYaZfKhTZZrwMZsvZT7lrusfTVZe5ZlMZOltNlWuV5mBe3le24jqWIdT5XbZwy915XuyzbV/wHHnRNv4+WXSLUzPNd96x60LJnfy9Zy5qq9B3IB2GrHLZPFo0v6bE09GU/YZfnhV7iVCGvT9Q1tls0tvkvDkrI9l6cErpCXlt13atNp6gePFXnAGXoqfGq7rqycbLmIh47V9MLTGgOhK0+jJ10Zk2uqnTYorhlBp8q1xN58bVHjB+QtMdN1oPcDqShcrDllDVR7Q56SPh7CH2VUejedFzxdM95aO204iqEljJ5rGGRdV9V6qOZBxLAuoz2oPEbcIb2pAmhcUrLfHSOQnqyUrWfSYSS51d3+qUmuX75RXr/DCsaKF/KXx52OZMmdXmbx5eZpNr4ZTzGsja41bjrJ/JZ+5t57D1nTSarjJ1VNo9vFk3I5V2gaxRt+m4nwOk6qPI8zIvbynZcx+bxdT5X9ZuOKU7W3MtTZ7ss27dsH5Uwr7qyGy038zVOjwQ5P76pD4a+3lil70A+CFvlsH2yzPiiL8rpy3KKL+8t9b0QWc+bquT1ibrGdo/6qDaIVxwJWg8/+pjz1PIrTTQehUT9uu61Sjpqx81uHl+GuseruutKv/s4WXMRj30+FG0eD9kgbPVh7KQza3JVpcMWxS0zqbKTpzJfYsi7pr1e3ubkVlgKlUPe5LwMmpjm3Yd9oGal77+uWObrUSqHMnH1sPJvYbKuW7U+7LKros+3A6zr2P7gDcQyaHz054X6pv1aTlE/e+qZBcmEVOOcxsw0n61ZE/QAsfjxNJ2GJrj+E9JFhrfw3iAKIYGgrPHtsfF/ffKpbklBFppEajKpuGmh0Y7zeZul2omugq4fosrYqXbhPfvyjKTuYJ+VefmxIqZCug6qPA+L4tbdjrOw5as0lFZV6nyuWu+nog8A1Nkuy/YtlZeW6Sqe79O+ror2CVQ+NJ7koWvn5aPqvAOyQdgqh/qp+qvaXNnxxfantCezR33FL1vUPpZFz9ks7PidtnXqGts9dgzzX0DUmGA3Wg95qdV1r/brrkXpaGyy283kjWshWj1e1V1XtqzSHxxIY+dqEmUlzkJ1ELb6MHbCpH/1/zR5g2maorhlJlX2S0lFarbIu6YdjLR/VWgASW+OGCqHosl5FnrIaVNC7cnxwEOPZA5g1qsj5MEgrAGQ97ZY2HLWdUOk185n3VfV+pBRKeNS8ZX+c4tebBzpjNxudR+PP/lU7kMAoF2xxrREqvSn8fOwG85rfNM4Z9FeWNq82vez0NIAEdr81aalvqc+qOXQo+NJVtbYZu9FEzhN5Cx2Ipz1NlfYcSfLrb/Mc8Ji4ytkfYpcY45/E6yQnphbw0abc7++vOukT/HtZ9AVdP0QVcdOiVneKDj5zHMzvYr0+1UTb8rc1yUL+xw7evDQ4FIylZt/U+9Dug6qPA+L4tbVjstghTEZDHltVHnS5+3t8hDbzrr7XBX+ZZX6Td5+VXW2S3sPRX3LGqnX3HBzIsTl3ZP/UI7K9513s9u7F7d17zLM0lTtO5ANwlY5bD8rO76oXfrtTtT3QhvJa0z1XxfU+KNnZajs9ducuX9yy45Dy9LybJ26xnZhhSL1PSu62/vVvaT326rrXm1dhK7j0RjuvVl9KDNn8PTGeFVnXQkrqoX2ZE2jNuqfE3p5kRVfopfs5ma8m9d1ELb6MLaD6V/9P03eYJqmKG6ZSZUGPO9Wqs536VXXJm/g1dnVyexAmXdNKxgpzvSZjySikQbEqQ/OdAadJsxexQ6Vgy2nvEldGjvo6l60VlvGi8+DBnRtRuiFoKwHo7BLA/Y55Eg3SfcPBO2DY8UwOyFV3HlPL3BlJzTg3nTbZCe2HTN4WPKQyrqvqvUh7ORe5W73ItE5L7/yanTWqDEuPT0otIcPwLqGFae0DErLocpihSSFkJhtlwak+5nGg0fmPO4mqOqLWSKZ+q41iDXOyWi3ky2NGTLC/VeDQm9Q9X87EdOYZvcBUr6UPz9W54kYVYxvYeNrTNO9yAjXmKn7U9Ak7ZzRFyb3mZ6we6w3mcYonafzNdZqHwz99t0tfhz99rwLnOeO4un6IXRelbFTf9u6SO+lpPFZnsf+C7sSX/I8fdKkhVblx0/AdQ1dS/WmNqUv7ymeQroOqjwPy8Stox2Xoah81eYn3XVPsjm85gUS1Dx1PleF/fqg8qL2pTwqqG34tEVd7bJK37JLP3VfPq95L9ZsXWpupfJWG1BeherVlnGWh6XiV513QBiErXKon6q/qs1VGV/s/ndZL2usMK/+Yff7VR/W3EDeUHrGKq077vmDO2bJs3XqGttVBrJTfD5DY4R9QZAeI0Ud9yqsHZFOR/f0zMLn3XNcx/RBLsVTKDNn8PTGeFVXXXnsOK1zlF//zNHzU/ahRdewczXNleweX3oOettYx2XDZnkJ91cQtvowdtKpf/X/NHmDaZqiuGUnVem3szakJ4pF17QDVyhoYJTirXP1/1A52HIqmsinUVwtD9AAZq+bDjqut/AadEJoULST8nSw5VkUV0GDld78+gd53n1VqQ/P/AULO7kHh4IeFndPmZoMqADrEuqTvg+W2Xsqjd1fIeTJqX4usd5PukJBE0O9YfTjW2jCXiYdH7R3UJaYorFLb/hCn822QeOCxocsqhjfwsbXeF/09TgZH1ku+JrIpt8A26B7u/mOu5zI4Z87un4WVcdOlaHSLypDiVtFS9JD5OVHQW1AbUHl7n9L10GV52GZuHW14zKULV99/TPtEVf3czVtYNiQvr+62mXVvpX+omvIWzNNmWe/gsTBrK+MiWbmHdAVhK1yqD35fltlfJEo4YVs9RUJXSHUb2Rv2HacDurHWuUR8qIpsnXqGNsn3zsl6e+yW0L2iNqN3fxcY1g6Xnfv1VM0lsi204s4iTn+tzLjmqU3xqs66sqS9hS2IdRWlJcydmnoOQgIW30aO+kMCTqiaDC1FMWtMqnSRE5G0h4HHpKco8/PK11r4JXJn97cnzFydDJx1oCqB9F9Ux9IBlWdq2OhcqgykQ+hB4HyMPb317h07KRan5WVKq+BqWiioeMLnns+On7YmYlYp7SUZnpPllBc/XvckNOc8ScxyT7Ii+6rbH1YlJ7e7qqs/T3rXxll1908KdjeANYV/FIjhWa+QGNdzPM8vuSZevHlV3X6RLX6qYRy38f8+JY3YdcbRk1sjzj+5E4ig/6WR6uEtrxJqGfZ62+4sc6OFRp79FZV40HR+FnV+E7H19in8TQ05muyWHQPOn7P/dOcd5Cf+Gms0zitcVzY546un0czY6fq9LKrJnQ6p2o9ZBHKj/7W9bxomTehrvI8rBK3rnZcBi2BVLq/OPjwpI5VvtrDau68pzJfttT9XFV8eaTZZ6TSUx987Y3ljVgd1NEuq/YttRXvza4gT4MyAr3uWd7nOld59Of7cUDjjNIuopm+A51B2CqH7bdVxxfrtSVBx3vgpJEANOuxuW688OOHztM4pGemnp1Z2L6t9h+iO2O7xhAv8BTtv6S0vHCl+wiNJd25V4vmJbonO1ZrDJAw49OoOq6l6Y3xqjt1FULn6Plp869n6fW33t6I0Rn1f3lq6flhz9Hf8gDLew72dxC2AAAAAADaDC0NlcEjo7LKPoHQN0DYAgCoD4QtAAAAAIA2wu4Hk+eJAn0XhC0AgPpA2AIAAAAAaCPslzqLltxC3wRhCwCgPhC2AAAAAADaBO0B4zes1x5geGu1JwhbAAD1gbAFAAAAANDH0YbB+vrXkScMcaJW1ubQ0B4gbAEA1AfCFgAAAABAH8V+Fc4HiVr6kikiSPuCsAUAUB8IWwAAAAAAfRQrbG254+7RGSNHR68se61xFNoVhC0AgPpA2AIAAAAAAGghCFsAAPWBsAUAAAAAANBCELYAAOoDYQsAAAAAAKCFIGwBANQHwhYAAAAAAEALQdgCAKgPhC0AAAAAAIAWgrAFAFAfCFsAAAAAAAAtBGELAKA+ELYAAAAAAABaCMIWAEB9IGwBAAAAAAC0EIQtAID6QNgCAAAAAABoIQhbAAD1gbAFAAAAAADQQhC2AADqA2ELAAAAAACghSBsAQDUB8IWAAAAAABAC0HYAgCoD4QtqJXLb7wrOuyU86Jfn3VR9NKrrzd+BQAAgCp88cUX0ezHn4iOG3JatOmPd4q+9q2N3b9DzhoerX7/g0YsgL7P2++8G+176FGuDZ90xtnRxx9/0jjSv0HYAgCoD4StXubjTz6NRo6/oSkxqMy5b656NzrromuiXw09P7rgqlujD3t4MoGwBQAA0D3WfP55dMkVVzshIB0kEEgoAGgXELbCIGz1PE88s8jZJQqyUQBg3QVhq5fpaWHr7gdmJQP64cPOj55a+GLjSM+AsAUAfZ0Xl7wcbbf73s7IGjPu8savAM0hI13Gep2i08zZc6J/+cEWLs0jTxgSLX11mTN25cW1evX77l+AdgFhKwzCVs+DsAXQf0DY6mXw2AIAaC0IW1AndQtbn332WXTGiPNdej/b+8DolWWvNY4AtCcIW2EQtnoehC2A/gPCVi/T08JWq0HYAoC+DsIW1EndwpY8sg477kSX3gmnnhV99PHHjSMA7QnCVhiErZ4HYQug/4Cw1csgbAEAtBaELaiTuoUtRABY16BNh0HY6nkQtgD6DwhbvQzCFgBAa0HYgjpB2ALIhzYdBmGr50HYAug/IGz1Mj0tbL3z3vvRyaPGuziKq3OyUNwb7pwanXDuuOQhoHSvvOXeaNU777k4XrhSmoqfJi1s6eG88MWl0fBxE6MjT/udO6Z/9X/93t2Ht74cNWfes9HZl0xI0tcm+aecf3k05aHHCu83XTaffvZZdP/Mx93v2pfM34stgyKUjtI4bcyVLi/+nk+/4Kpo9p8WuDxnoTLT9XSOfwA//9Ir0bljr3NpKU/znn3B/W754os/R08uWNSpnBVfeXj0yQXuuE1bHxWwKL/6XeGSCbdHn3+evzGxPkJwxKmjXfxLJ04ujA9QJ6vf/yC6YdId0YAjfh19e7OtnbGkf381aHA0feYj0aefdu33VswqCnlil9J+aNaj0XFDTos2/fFOyTk77zMgGnnh2GST7yxCBp7CHff8IfrFwYcn6e1x4CHRtTfeEn340UeNMztY9vob0QWXXhHtsMc+Lp6/70fmPF64objyrvI5fNBJXfKuNJV2d9B96/5VDj5/Pv2LL78qWrHyzUbMtShPZ476XRJ34i23ZZafyuLE037r4in/j/1pXuPIWprJg0V1r/hqK2ozqptrb7zV7XWl34ecNTz6JB7j9bsXs4pCGbGrSnpZwoDqf+68p6JTzxkVbbnj7kl8lYN+m79gYW4bCbXN195Y7vb78u3lzvumNGJ3RnHv/eO0Tm2rqE+m8WnoHN+vlZbS1Gb6ec/OsvRE/1Wa99w/LdrvsKOTDf9V5mpvb616u3Fm89RRLqp31b/age0X+rtK37f9S2VWNp3eKLd2AGGr5+kpYeu1FW9FV0+6r5PN5Of6mlNn2R+PzH06iX/Z9Xd2u64/+2xNNOaqW1x6R50+Jnpu8SuNI+Vx/fq15dG4eD7v7QSF35x9ibN/Vr71TiNmmJ6w/eq2716P60vl5NO6b8ajjdidUb1ecdPdncpBdXzT3Q9EH8XjltLytnfarra20W8vvjb64KP8bQReeX1FNCguY8U/Z+yEHt8Huz+AsNXL2A7iB4SylDm3rLAlsWTQby928ULh6Hiw1AAz/obywtYLS16Nbrgrnow1BKJ00AB1bzywNDuoL1v+ZnTq734fTNsHHVe8EOmyeS2Op4EonYYPx58zNnrplfz6WbBoiYsXOt+H8y6/MXpnddeyE2lh67GnFiaDsA96SFs0EOphlFXOCqN/f1M0/7nFSdppYcsOrieNuCz3Iab6mnD7FBdX15z1p2caRwB6FrU9GcnWaA8FGYAr31rVOKuDOoStl15e6sS00Dk+yECTgSfDLUTawNPG4MpvOh0fZIDrnKJ713XHXXlNppH7xooVuddRUBpXXndjKREije5X9+0N1FBQ3nUP6TFfZbDrfr90cVRHixa/1DjSmcn3TknSv+SKq7vca3fy4LHC1vwFzzohy57vjXIF/W2PZYVWCFsSAn4z9IxgfBt0P++8G35Jk26bun8v6Plw2133NmKvRYKJr7+sMPCY46NXX8t+fpZJIy/vZeiJ/ish59iThnVJxwfdk8aeZqmjXHQs3Y7TQYKZ+ldWvxAqk6L+pXRuvuOuLn2z1eXWLiBs9Tx1C1tq2xI5/IvrrCBbQDZBGtkkx5/TMd/Wy+fVH3zYONIZCVQSqhTvxOHjohVvhcXet99dndgyeellIbtQQk6eDSEbcObjT2W2y7ptv7rtu2cWvZTYOD6k7SDlZ+rDc9292ng2qE5lS3nbO21Xv7v6gyTfx5xxgSuLPKxTwW1THmr8Ct0BYauX6QvC1otLX0s6vEQUdS51TqEBXJ1YCrmucdLIy1y8ImHr2DMvjC68ZpJTrifcfn+n9CSiefFHHf+5xUvdsSroa49DR1+R5PmuaY8kSrfeXmgA9iKO4il+Gls2ehhI1JK49/Dc+S4NoTRVHv4BdvYl10bvf9jZg8Jjy1HXVh5sOsqjF6kkboWUeStsaXDUW4JLr58cvfV2x6RV5bdmzdoJo/5/1a33uvgKZ154tfPw0u9C5a7y9285/EMyPaDL40qeWjpWJFbZgVvlp4cqQCuY/fgTzlNBhtVZo8ZEL7/y6tq2/t57zrPGezTIkEt7O3msyFV2KaLEFm/kSxy56bbJ7ppC3hDyYvBfslMICS/CGngSmo4ZPMwZcbMem5vEl1eR7s+ndcWE66M5c//k7v3XJ5/qDHRdU0H3cuDhx7p439tq++jRuIzSWNFEaUy6656kbHzedb080SgPxdU5Pr9KS0KaJopKX/k98oQhyfVVj2mmTJuRXH/o2SO6CAtW/Prl0YO6CJd15EF4YWvbXX8erBt5a6Un5LZ8y4hYRaRFgCyRxaOyUJkovtq/BM6Vb77l8qmgv1U2vnyz+oa9rtqUPAgHn94hvvpyTIuetl+oT90//cEkbX3d8cFHZkc7/nx/d1xluWRpV2+CdBoSHnWuUFpqr6qzvLwX0ZP9V/en+7R5vnHS5GQsUp+Vl2lV6igX/eZFLeVz6oMz3ccJhO7vmYXPO9FRx/P6Rbp/qaxUZio7tQ31tXNGX+jamML4q6/r5MndynJrJxC2ep46hS31Azvnlk1g59ya10+f/adkHi+bQLaBpazdp3m6v47m5U88/XzjSGesACaBqkrbSd/PhVffGi1/c1VjvP9z9PKy5c6u0DHZL3rZHqJO269u++6U8y6PBo+4NBp52fXRsjdWJvf2yacd447HOhIofdWjva5sQ9mI8mLzXnohu/qWe6e7Ywp5YpVWCI3+/c3J9arY/5ANwlYv09vClk0jb9D64MOPolGXd8RTKBK2FDQQ3/3A7OAgq+t4d81mBuKx193hzs3L89PPv5QMUhMn/7HLNWzZKIQeQEKTsytvucfFyXq4SOzSAy4vHTFt1hMuDQX9ncYKWwp64PgHZghbjllime5byxF9WSikhS0hMUv50vG85YXW1VaeW1XqDqBZ1B5nPDzLGUNarhbqF2qLOiajSMbVzNlzGkc6U1XYksFll8CVMf50fYk1aayBp6C/JRykkdHtPaxkiGuJTpbx+uzzi6KtfraHiyuD0xuKHnneSPTScS1vDPVZ/Xb73fdFx51yejA/ecg49aJJliBg70f/elHBI8HEL0lUWsqLz6c9pvIPLUGsIw/CC1sKEhUkLhTRm8KW7lNeNIqbLjeLr19fRhJL0/HSbbNIRLLlqf6UVVZqT0p39wMGRo898WTj1w4kXEjAUBp55e2FT4VQv8qjJ/tvVp41Xl00/sokrVCbzaOucpHoKZFXy/2y+rVEqb0OOsxdS/0/VOf+Ooqj9hbqX/pN46+EqVEXjeskSrWq3NoNhK2ep05hS3Ppojm3sC+69eL8vZRAa8UPLU1MIyHFLy/04bo77m8c7YwVwEJp5SGxxs/7s+wN5V33oDihexF12X66fk/Yd3l1JeQ8MPT8DjEtz4aT6OdFN4WQXS0vLQl3Op63vNCulJHAJaELug/CVi9jhaXuhGaFLQ0OfpDRYBIa1DyvvrEyUdvLCFt56WndsV/2V9V11g4aedfQBEkCjeKFltfZstFArAE+C/tGJPRwsaLQrffNyJyUaIDTQKd4oQHPClsqa5V5FvbBV+T5pvxo8FdchZCwZT2xspYjKh2/DFHtRu0HoJV8tmZN7jgl401GkwwjGUghqgpbEsi8USdPhKz+LeRt9YuBHXtlyRMiLZ5YA09pSpDJYsJNk1w8BXm7ZBmmVljRtdP708g49Olof6E6kREsY1hpyziWkZyFL0eFkOgozyLvfWYNX7sEMbQHV515sMJWSPwJ0ZvC1vMvLE5ETe2flLeM1JaTyjfdnux1JQA99cyCxpEwtl8UlZXSDvVbm0bR/mo+71niSxb2Gq3svxKct/jpbh3XvWZi49dy1FkuOleehlnouMpFafxkz/26eNXZa+SNQ0Lt773VXb24W1Vu7QbCVs9Tl7Bl5+8SJCRM5CFvHX9dLTmzFHlZadmhlh/quObj+je0Z5PsHL/aIm+5Ygh7PycOv9SJNll4G0chtKKjLtuvJ+w7CWBFtoocDRRXIc+GE1ZUC9nV1hNL95K1HNEuQww5OkBzIGz1Mr0tbNm3BlnKuEcdXRsdKm6RsCXRQ549Wdi0jvvtxW7TwrL4PGuAzXLN9eieFFchfX+2bCToeJfZENo43j9cpPxbF1b7YMmqB8vkqQ+7uHLZXZx6K2CFraJN3O2Db/ilE92mhnnoWrqm4oeELdVJ0d5ZVvzKexMB0Ftomc1hx53ojKIsUaCKsKU+OHzMxS6ujC0ZXXmoH3kjUV5S8payWAMvZDhbrCBVZJB7Lwfdl+7PYj22ml3KlYU1QuXJkZdHCW5eNDj/ksuCceVNI1FFceSx8sS8+YlQmeexVlcevLBVpq49vSlsWfGzjGipTch9/PsfeLDxawf2utr/6P2cF05V+0UIm0ao3aa5ZfLdLq6Wib7wUte9a0L0Zv+1bU1tN09csrSiXNKoLSgNhbSXlO1fypfyV5VWlFs7grDV89QlbFkxqsxHlqxHjl5C+61JhAQd6wWVFnhk22gerr24/vDgHGdThewLu79W+hpFVFnCaG2g0Ib3ddl+PWHfhQRBi+rR23AhuyyNbC3ZXIofsqtF0d5ZVvzKciSA5kDY6mWssFVGFLGUOTdP2LIeP2Wv7QevImGrTHpV4nrsAFRGEFO6Sl/xJShZ8somTV5c+wZCa7nzBDJhH7Lpwdjmt+gBbL3tiuIKm3ZI2BL2bUnowW2XIeatHQfoLazIUIewJePeb3JcVrSQwKD4CunNtquIFlbYSqeTRscVL2Tc6hrat8qnpThjf3+NE438fjvNYu8164t5Hls3J5x6VjxB7DrZ1MTXLye1Ic9TpM48eGGrjKDgsWmWbSN5lG0jGp+rCCDCihTptl+lbTbTL9LYNOSplyd2CNsfQnvJhejN/lslrqUV5ZLGppEWtvLKoyytKLd2BGGr56lL2LJfM8yaQ1usbZC2mVS/EpN0LGQDaWWIjslG0x5S/oVy2rPH2gFl8mSx95P1hUCPtTdDL9LrsP16y76zImOWbWuxZZGVtoSqPE87K3ryZfl6QdjqZWwHKTMgWMqcm9e57fnqgFLki/ADUlbnr2Nwy8PmuWrQ9SxVBr68uPZY1ZB+ENmBOp3fNPZhnR7UQ9i0sx6A9i2C3hTZL47oQew9uqrUGUCdyOi57uZJ0UFHHZd49mSFLKOoirBljSwZmzI6i7BGYnopTRWjzaZTVthSSBumQvkeMeaSZHmTDdrDS8vY5s57ym0GXQV73SpBZaCyCCGvLHlq+LjynHn40ccaR7tSZx7aSdiy191zwKHR8hXZS9c9tu2n92Or0jZt3LL9Io1No2oo6g+eZvJZV/+tEtdSd7moT6tvq4/vvM+A4Hk2pMcP278kcjVDK8qtHUHY6nnqErY0b/bplNnLytor6fm08F5ZOm4FKyuI6ZpWBEu/cPYeTs3Mye39VAkh+68O268v2HdlVr/YfGalbe0lCY/ppZDeo6uMZxpUA2Grl7EdpOrAVObcvM5tz0fYQtjy2Lc4dl8AuwyRjQ6hN5A3gkQYb2QVhSyjqD8KW543V61yy44kHGlDen+OD78ZekaXPbrysNetElQGKosQ9it/ChLjsjZFF3XmAWGruviAsBWmSlxLneUikfi0c88Lxs0KCFutA2Gr5+mrwpb16rGClZ+ra5mglgsKPy+XreG/RG7Tb2ZrEIStDmzcuoQtYZd62g9tWQeCom1woDoIW72M7SBlBgRLmXPzOne7L0UMPSiq0OzAl45r365U3Qg/jcpB5aG00gN1mp5Yiijsw9Y+LO312OgQWo2WoWk5mowdGeb3T38wuN+SjCAZQ3lGURVhS4awDGLFlbElo6uIupYy9YSwleaDDz90X6o78oQhyfn6AmHeJuQWe6/pPZuaQZvF+i/T6etqP9jmp+7vvK/Z1ZmHdhK29DxcV5Yial+87i6LDdGb/bdKXEtd5eI8PSZcn9yLhMylry4LemXasSY9fuSVR1laUW7tCMJWz9MXlyIKa8/ouBes/Ebm1p6QrSObx3r/+N8UV55bVbH30905fR22X2/Zdz2xFFHYzfllU/l9tGy9ZX3pEpoHYauXsR2kisAjypxb1Ll7avP47gxuRVTZXDCPKgNfXlw7GFe9lzQ6V2koraIHcN2bx3tUz96F1n7Rw6/5twM0QKvQ3kneuNIG2FlYozDLKKoibFnxoO7Np4uMtlYIWx6JhCee9lt3fujLaFlYoaRo4/YidK48s/xyyUl33eO+jOg3j5cXl7y50tSZh3YStkRPbR5fdN2q/SKETaNKeVehN/tvlbiWuspFe3P5r4wWbdhuxav0+GH7l/Kl/FWlFeXWjiBs9Tx1CVt1bh7v8eKSF6yUprcnrOhhvXy8iOXPtZ5dVaiyeXwRddl+vWHf2TKva/N4j11y6D/I5YXLvC8mQvMgbPUy6hDqGGrkVUWRMucWdW7rhZP3aVXx6hsro+PPGevi9qawVfZzsEXUJWwJ/ylcHS/6VGweKgeVh9IpegBbjzuVx3OLlzaOdEX5mTj5jy6uQtHbJpsPiVzvvf9B8kaDjQ6hN/CCQ9GXv7QXk/8CYJZR9Oprr0e77nuQi5P1dT7LTPPp/aKvE65Y+WbyRa+QMVnFaKtT2PpszZrCsdKnUcWYliB23Cmnu/P2Ouiw6I0V+Z9Az0Milhcc7RcQJ987JSn/kDdZnXloRtjScj55w+g81X2VpZwhqrSR519YHG31sz1cXO2hlOdpZ8tJYmF6M/6qgoLtF/IMaua5Z9PQRwOafXbm0Vv9tzsCTR3lovbr+1PeOGdFbYX0+GHbTd5HHPJoVbm1GwhbPU9dwpb1wJFgJeEqD31gyV/XbuthsS+oJWT5rxyGhB2/dFA2iMQVv+9WaHPyMtj7OXH4pdHyN7u+NCpLXbZfb9h3wotNCkU2nOzmI0/7Xam033r7vWjo+Ve4uBImVU/ebmtm+SgUg7DVy6hDqGOokVcVeMqcW9S5bRrqqFleWx98+FE06vKOeApKs7eELQ10GvB8nh99ckFwENJvc+c/5wasL77oerxOYev9uHzOvqTD5VgPvEUZKrzyoQfcnxYsCuZZ5aDyUDplHsCqLy9Mnnf5jcFBUtdRGfmBWKFI2JJwJQFLceWhpTLUdbr7FgWgWaxw88BDjzR+7Yz17skzirS0R0t8FKfIk0FYwy9vSZzGJr+MTkbplGkzGkfWUsVoq0PYUv9//Mmnoh1/vn80OjZus66nPj/qonHufIl+Ev/K8uAjsxMj/KLxV2aKKxKcrr3xFudVl0Z18KtBg10aqsOXXl4r1Cs9CVo6puuE9tuqIw+iGWFLaC8mnSdR9cn5HW9mm6VKG1Gbk5daXtkI/Wa94UJCVFVBwdaZykv9L4T6z7BzRroy0t+W1e9/EP365FNdGqr35xaFPxWv5XPyNlNbDt1fHr3Vf7sj0NRRLvb6Rw8eGlzSaO/Zh5AwrrLwbUftTeeFUNlqbJ2/YGGn/LSq3NoNhK2epy5hS2guXTTnFi8ufS3x1tJLYb0cDmG9hSRQ+fQldkn0sngPKy1jW/ji0uRlczPLED0Pz52fvJS/8pZ7MvfOleh1090POFswRF22n8aVVtt3wgpQqjfVXwiVw9DRHfHKpu0FTgl202f/KVmGWGY5K1QHYauXscJSVYGnzLllOrcdgDWQqBP6zew0yMx/bnF0yvmXuzg+Lf3bW8KW0Odv/eCSzrMGueVvvh1dM+kP0eHDzneD9j3TZ7tjljqFLWHLUfekAcw/9FSO+nTthVff6vKjB9fcgECkctC5SqPMA1jpXnXrvS6+wpkXXh09/9IryaRTZTLh9vtdOZz6uysTt+MyA+pTC19MHuA+T2x0CL2F9UzZ55Ajo3lPL1jbzmMD+6bbJruN5Y8ZPCwxtrOMIk2K/HIjGWuXXnWtMySF0pTokZ5MWdFM19H1vCAm41J713ivHQUZiz5/lipGW13ClhU0dG0Jg9bI1X1IdNCeVoqjryeG8p6F4lrjOL2Xj6419cGZTlzTcXljffTx2jfMmtyPu/Iad0z5lIdWGrvHmuohLaJ0Nw+eZoUtiVneU1D7lenaKnsFtacq5VnVsLeb7asOVZYr33wrub7+Vtn4NmC94SzNCAq2X6jM7N538mRTuQw44tfueJaolJeGyu3lV16Nzho1xuVfZaw94arSG/23uwJNd8vFitWKo3HO37POX7joBSeeqV5GXjjWxVMICVuKn9W/1MZ0r3YMSbexVpZbO4Gw1fPUKWypH9g5t15o2zm35vya+/s5c55I4vErPnTOyMuud+eFli7avaD04lnz8+4uZ0vfj64rTzQvFq3+4KNoxqNPRoN+e7E7LjEvtO1JnbZfq+07jxwFvAOA8mZtONWFRECVwwnnjnMebmXTtktSbbso8viD5kDY6mXUIdQxfIOvIvCUObds55737AvJwBUKSv/JBYuSAam3hS2hDfj8V/qygga+G++aFnwLUbewJRYsWpIs18wKR58+Jpry0GPJg8OiclB5KJ7KpwwaeMfFDzn/1iUU9EbomUUvJWmXEbaUrndT9oGNDqG30ETfCjShIGPq9eUrnDGk/+cZRekv79mQdZ68iLyRnhWUP3k0ZF23itFWh7AlVHbTZz5S6ouS2p+smaV0ug/dd179KOirixJaLMqvjGsdl2dNSHQR1mskJM50Jw+eZoWttOFvQ9W0mjHsVWe6r/S100Hl9s67YQ/FZgUFeed40TErSFDM87Yqk4ba791TpjoxpRla3X/rEGi6Wy5545yCztXYYMeakLAllP+i/qVjEsbTHpGtLrd2AWGr57HCVtWgc9NorJf3kuyL0Dk+yBaQTVCE/WCTD6Gli2oTfv9bH+pYziZ7Rssa82wIhXPHXRetXBXeX7du26+V9p1H5Tv14bnORktfy4eTRl7mtn3xtneZtO0KGB+y9lyD7oOw1cuoQ/gOUlXgKXNuVfHmhjunOjXadz6pytfeNiVa9U7HRNgPSH1B2BJ6wMyZ92x09iUTEqVdg/PgEZdGV0+6L3ptRdh4EVXLpmxcHdNDSW9W/INP/8rr7dZ7ZwTLzaNyUHnoHJVPWSSSSXgcPm5iUg66plyb9RZCx23aZV1g7d5h3X0zBNBdNPFY8Nzz0fHDzkyEEP173JDTnCeIDDsZQTKGyhhFEka0LG2PAw9x8RV22GMfJ27I2ySElrhpo2Vd0+dBYed9BjivB++pk0UVo60uYcsjrzR5Qx1x/MmdRC79rT10dF95ezQVofvW/ascVI4+ff2t/Z/mznuqi/EtDxLvYSePvLzNvVVWQ88e4eLKgA55djWTB0uzwpZQuo/Medzdj/dcURtReb/2xvJGrGKaNex1fd2f7tPWr793iSR5994dQUFx5Ql4+KCTkn6hMpCQJEE6S6y0KA0tq7Pl59O47uZJLn/dpZX9tzvlaeluuYTGOf192VUTEhG7jLAlVDbynpTApTLz56iNnTFytPMyC5Vfb5RbO4Cw1fPULWx5ZF/IzrA2k+bfp19wlbMB8uwEi+ra75elkGcTaSsQK0DJm6kOlAetKtFLcm8n+LxobyjZF6GX8Z6esP1aZd+lUbqqD1sOuuakPzzovNWUlre9y6Zt9w7TPfiN5KF+ELagNHaz8lPOu5wlaW2G/VDAfTOKv54l3nv/w+iM+CGtc9joEAAAAKAeELYA2gu7JFRLMz/5NPwS1KKP91xw9a3uHL4s37MgbEFpbGfGjbL98F/9kLglkasM9i1D1lddAAAAAKAaCFsA7YWWSfoN4Mtuz2KXm2o5Kf2750DYAocUZ7l95mE3E+drDn0HuQeHNnO0aA263IlVd3LP1SeFi1B78F8n0ddC9NUQAAAAAOg+CFsAfQfZUnlLLoVe8ssu0pLCMl+JV1++9b4Z7pwySzWheyBs9XMkXuiLEtosL+9Tr++sfj/ZSFxfg9AnT6H3eX3FW+6rLNoLbVHG/lcaVGc8+mQiSmqALTNp8l8I0eAtby8AAAAAqAeELYDeR/tkyftKdtJd0x7JFLdefWNlsneXbK/3PyzeO9J+MX/i5D/St3sYhK1+jjrY3Q/MTjYjVEfVFx/8MkP9K4FDG5/ruDYkf+SJp90x6H3sZ3ElTt5+/0znjaV6VdAXTPxncRVHm8sXDcTaR0sDu9+s8fwrbqq08SIAAAAA5IOwBdD7yMnjqlvvdTaP7OELr77VbabvVzLJLpKDwKDfXuziyPPqucWvuGNZyH6e+fhTySb0+sqj/xAb9BwIW+AeoOp8eZ84VdBxfQqVB27fQt502sAwVGc26FO9eYNq6Msx+qoiAzEAAABAvSBsAfQNJGLd8ceZiSNAVpC4Ne/ZFxpndcV+gd6Hk0ZeFr28rPyXkaF5ELYgQZ488t6Sd5bv2FKu5XZ5670z3OdToW8it9nnX3o1uuCqWzsNqBIjy3yqV3hhy9e51pFnLU0FAAAAgOZB2ALoW2g/4RvunBoNHnFpsppJNrE+nnbvjEcL9zS2wtYJ546Lbrr7gcJzoD4QtgAAAAAAAFoIwhYAQH0gbAEAAAAAALQQhC0AgPpA2AIAAAAAAGghCFsAAPWBsAUAAAAAANBCELYAAOoDYQsAAAAAAKCFIGwBANQHwhYAAAAAAEALQdgCAKgPhC0AAAAAAIAWgrAFAFAfCFsAAAAAAAAtBGELAKA+ELYAAAAAAABaCMIWAEB9IGwBAAAAAAC0EIQtAID6QNgCAAAAAABoIQhbAAD1gbAFAAAAAADQQhC2AADqA2ELAACgF3hxycvRdrvvHX3tWxtHY8Zd3vgV+gq33XWvqxuFx/40r/ErAFjoJ82DsAUAUB8IWwAAAL0AwlbfBoMdoBj6SfMgbAEA1AfCFgAAQA1UFaoQtvo2GOwAxdBPmgdhCwCgPhC2AAAAagBha90Cgx2gGPpJ8yBsAQDUB8IWAABADSBsrVtgsAMUQz9pHoQtAID6QNgCAACoAYStdQsMdoBi6CfNg7AFAFAfCFsAAAA1gLC1boHBDlAM/aR5ELYAAOoDYQsAAPo9n376afTQrEej44acFm36450SQ23nfQZEIy8cGy19dVnQ2LDiVFFIi1chYevDjz6Krr3xlmiPAw9JztPf+k3HyrBi5ZvRZVdN6JTGDnvsE50xcnTmfXjSRuqazz+P7v3jtOgXBx/ufjvw8GOjd997rxG7HF988UU0f8HC6NRzRrl82DxdcOkV0bLX32jE7Mrb77wb7XvoUS7+SWecHX388Seuru65f1q032FHR//ygy2StC6+/KrorVVvN87MZ/X7H7gy1X1lpdEdgz10rur7jBHnJ+1L/x4/7MxowXPPd6oT3d/0mY9Evxo0OPr2Zlu7uFXvr9n2rLz68lBeP/vss8aRMM8+vyja4qe7ufiqX103jdrQrMfmdsqL7mvAEb+O7vrDH12ddgfdh+5H96X78/e65Y67uza/aPFLPdbm1XbH/v6aTn1N93j4oJNcGnn3FmrbWeiY4mTFbdd+0t9B2AIAqA+ELQAA6Ne89PJSZ2R74ywUZNRJhEkblHUKW8rHPocc2eU8HyR0rHxrVePsrsggv/mOuxIxJBR0THEUN4Q1Umc//kR0yRVXdzpfxrOM6LK88+570ZCzhndKIx2Up8n3ho25tMEuIeHYk4Z1ScOHXff7pSvXPCSyKV7ofAUJIo/G994dgz19ru4vq14khPxh6nR3XlF5lbm/7rTnVW+/44QQxdl134OiV197vXEkjL1PCTlpdP7AY45P4oSCjhddJwvlX/fhRZdQ0LFxV15Ta5tXWhJ88vqagupL7S1ETwpb7dJP+jsIWwAA9YGwBQAA/RZ5c/xs7wMTQ+2m2yYn3hnyNJIniDxXvOEmozfLQE4LVUXY+Medcnr0y6MHOUFi3tMLkmsoL0rLG+4jxlwSvL4Modvvvi+Jd+QJQ5zAoXvQsTdWrIjOGjXGHVMcxQ0ZT9ZIlYH8n7vs2cnzRF4gSrMM8jDzIs2OP98/mvrgzGj16vfdMd3DMwufT0QPiTsSFdJYg13C3jGDh7m0HnxkduJNpOvcOGlyIjL8+uRTnadJCFvfuqbO8/Vt86Q48vZRPIXuCFvyJJJX03kXXxq9uapDmNS1dA++/iUgLHpxcTT07BGuHU66657EQ0//TrzltqRu80SQ7rZntQkJRf64vL6yUPn7tHTNV5a91jjSgURYtWkdV1nbe9K58krz9694eaJtCOXbi1D+XtVedA/+Xgef3iEG1dnm7XUV1N4WLnohKUfd4/3TH0zuTWWjeknTU8JWO/WT/g7CFgBAfSBsAQBAv0SG3omn/TYx3kLCirCGrAzkKdNmNI50pjvClkKWcW+NWsUPeVpoSdhWP9vDxZGY5AUEiwz0M0f9zsWRkJIWIoQ18vPKpAy6F4lp8gAKXUtIcNvroMPc9STupfNtDXaFLJHg88+/iC4af6WLozoKGdi2HPPuTXlIe011R9hSkDDlhQ+L2pIXrPYccKgTwEL50rkSNRXve1ttH81f8GzjyFrqas+6V58niVxZRra8rOTVpXjpZYg2v3l5eeqZBe644l0x4fpKBv37H3zoltxKwJEYHELCjQQcpf+LgYe7Zbppqrb5hx99zNWB4mf1NWHFIYlNXhjy9JSwpdAu/aS/g7AFAFAfC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/></p>
+</section>
+<section id="objective">
+<h2>Objective <a name="objective"></a><a class="headerlink" href="#objective" title="Link to this heading">#</a></h2>
+<p>This notebook serves as a tutorial for interacting with the Open Catalyst Project.</p>
+<p>By the end of this tutorial, users will have gained:</p>
+<ul class="simple">
+<li><p>Intuition to the dataset and it’s properties</p></li>
+<li><p>Knowledge of the various OCP tasks: IS2RE, IS2RS, S2EF</p></li>
+<li><p>Steps to train, validate, and predict a model on the various tasks</p></li>
+<li><p>A walkthrough on creating your own model</p></li>
+<li><p>(Optional) Creating your own dataset for other molecular/catalyst applications</p></li>
+<li><p>(Optional) Using pretrained models directly with an [ASE](https://wiki.fysik.dtu.dk/ase/#:~:text=The%20Atomic%20Simulation%20Environment%20(ASE,under%20the%20GNU%20LGPL%20license.)-style calculator.</p></li>
+</ul>
+<p><a name="climate-impact"></a></p>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="climate-impact">
+<h1>Climate Impact<a class="headerlink" href="#climate-impact" title="Link to this heading">#</a></h1>
+<p>Scalable and cost-effective solutions to renewable energy storage are essential to addressing the world’s rising energy needs while reducing climate change. As illustrated in the figure below, as we increase our reliance on renewable energy sources such as wind and solar, which produce intermittent power, storage is needed to transfer power from times of peak generation to peak demand. This may require the storage of power for hours, days, or months. One solution that offers the potential of scaling to nation-sized grids is the conversion of renewable energy to other fuels, such as hydrogen. To be widely adopted, this process requires cost-effective solutions to running chemical reactions.</p>
+<p>An open challenge is finding low-cost catalysts to drive these reactions at high rates. Through the use of quantum mechanical simulations (Density Functional Theory, DFT), new catalyst structures can be tested and evaluated. Unfortunately, the high computational cost of these simulations limits the number of structures that may be tested. The use of AI or machine learning may provide a method to efficiently approximate these calculations; reducing the time required from 24} hours to a second. This capability would transform the search for new catalysts from the present day practice of evaluating O(1,000) of handpicked candidates to the brute force search over millions or even billions of candidates.</p>
+<p>As part of OCP, we publicly released the world’s largest quantum mechanical simulation dataset – <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/master/DATASET.md">OC20</a> – in the Fall of 2020 along with a suite of baselines and evaluation metrics. The creation of the dataset required over 70 million hours of compute. This dataset enables the exploration of techniques that will generalize across different catalyst materials and adsorbates. If successful, models trained on the dataset could enable the computational testing of millions of catalyst materials for a wide variety of chemical reactions. However, techniques that achieve the accuracies required** for practical impact are still beyond reach and remain an open area for research, thus encouraging research in this important area to help in meeting the world’s energy needs in the decades ahead.</p>
+<p>** The computational catalysis community often aims for an adsorption energy MAE of 0.1-0.2 eV for practical relevance.</p>
+<p><img alt="Capture.PNG" 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" /></p>
+<p><a name="target-audience"></a></p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="target-audience">
+<h1>Target Audience<a class="headerlink" href="#target-audience" title="Link to this heading">#</a></h1>
+<p>This tutorial is designed for those interested in application of ML towards climate change. More specifically, those interested in material/catalyst discovery and Graph Nueral Networks (GNNs) will find lots of benefit here. Little to no domain chemistry knowledge is necessary as it will be covered in the tutorial. Experience with GNNs is a plus but not required.</p>
+<p>We have designed this notebook in a manner to get the ML communnity up to speed as far as background knowledge is concerned, and the catalysis community to better understand how to use the OCP’s state-of-the-art models in their everyday workflows.</p>
+<p><a name="background-and-prereqs"></a></p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="background-prerequisites">
+<h1>Background &amp; Prerequisites<a class="headerlink" href="#background-prerequisites" title="Link to this heading">#</a></h1>
+<p>Basic experience training ML models. Familiarity with PyTorch. Familiarity with Pytorch-Geometric could be helpful for development, but not required.
+No background in chemistry is assumed.</p>
+<p>For those looking to apply our pretrained models on their datasets, familiarity with the [Atomic Simulation Environment](https://wiki.fysik.dtu.dk/ase/#:~:text=The%20Atomic%20Simulation%20Environment%20(ASE,under%20the%20GNU%20LGPL%20license.) is useful.</p>
+<section id="background-references">
+<h2>Background References<a class="headerlink" href="#background-references" title="Link to this heading">#</a></h2>
+<p>To gain an even better understanding of the Open Catalyst Project and the problems it seeks to address, we strongly recommend the following resources:</p>
+<ul class="simple">
+<li><p>To learn more about electrocatalysis, see our <a class="reference external" href="https://arxiv.org/pdf/2010.09435.pdf">white paper</a>.</p></li>
+<li><p>To learn about the OC20 dataset and the associated tasks, please see the <a class="reference external" href="https://arxiv.org/pdf/2010.09990.pdf">OC20 dataset paper</a>.</p></li>
+</ul>
+<p><a name="software-requirements"></a></p>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="software-requirements">
+<h1>Software Requirements<a class="headerlink" href="#software-requirements" title="Link to this heading">#</a></h1>
+<p>See <a class="reference internal" href="#../core/INSTALL.md"><span class="xref myst">installation</span></a> for installation instructions!</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch</span>
+<span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>False
+</pre></div>
+</div>
+</div>
+</div>
+<p><a name="data-description"></a></p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="dataset-overview">
+<h1>Dataset Overview<a class="headerlink" href="#dataset-overview" title="Link to this heading">#</a></h1>
+<p>The Open Catalyst 2020 Dataset (OC20) will be used throughout this tutorial. More details can be found <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/master/DATASET.md">here</a> and the corresponding <a class="reference external" href="https://arxiv.org/abs/2010.09990">paper</a>. Data is stored in PyTorch Geometric <a class="reference external" href="https://pytorch-geometric.readthedocs.io/en/latest/modules/data.html">Data</a> objects and stored in LMDB files. For each task we include several sized training splits. Validation/Test splits are broken into several subsplits: In Domain (ID), Out of Domain Adsorbate (OOD-Ads), Out of Domain Catalyast (OOD-Cat) and Out of Domain Adsorbate and Catalyst (OOD-Both). Split sizes are summarized below:</p>
+<p>Train</p>
+<ul class="simple">
+<li><p>S2EF - 200k, 2M, 20M, 134M(All)</p></li>
+<li><p>IS2RE/IS2RS - 10k, 100k, 460k(All)</p></li>
+</ul>
+<p>Val/Test</p>
+<ul class="simple">
+<li><p>S2EF - ~1M across all subsplits</p></li>
+<li><p>IS2RE/IS2RS - ~25k across all splits</p></li>
+</ul>
+<section id="tutorial-use">
+<h2><strong>Tutorial Use</strong><a class="headerlink" href="#tutorial-use" title="Link to this heading">#</a></h2>
+<p>For the sake of this tutorial we provide much smaller splits (100 train, 20 val for all tasks) to allow users to easily store, train, and predict across the various tasks. Please refer <a class="reference external" href="https://github.com/FAIR-Chem/fairchem#download-data">here</a> for details on how to download the full datasets for general use.</p>
+<p><img alt="oc20.png" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoMAAAHLCAYAAACzjZISAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAuIwAALiMBeKU/dgAAABl0RVh0U29mdHdhcmUAd3d3Lmlua3NjYXBlLm9yZ5vuPBoAACAASURBVHic7F13fBXF2n5mTy85KSeNhNAlBAJSJaKAAtKkCBZAjGJBUUGwgUjRe0HQe+FD4CJFROoFKSIBQQQF6QESSmiClIQkpPecnLb7fn+c7JhDCkG9KrrP77eQszvlndkpz77vzDuMiAgKFChQoECBAgUK/pYQ/mgBFChQoECBAgUKFPxxUMigAgUKFChQoEDB3xjqP1oABQr+l7h5FURZWRkyMjKQk5MDg8GAsLAw+Pr6QqVSgTH2B0n5y1CxbA6HAxkZGcjKyoJer0e9evVgsVjAGLvtct1cZ4wxENFtpSOn4XA44Ha7AQBGoxGC8L/7/qwod21kJSKIogin0wlRFKHRaKDVaivFlX+7XC7Y7XYAgE6ng0ajqTZtp9MJp9MJQRCg1WqhVlc91BIR7HY7RFGEIAgwGAy39c5KS0tx8uRJ6HQ6tG7dGiqVqpIcOTk5yMzMBACEhIQgMDAQWq3Wq2wV5ZFhs9mQlpaG/Px8WCwW1K1bF2azuVK9yPGIiL9vtVoNrVZb6X3LcdxuN+x2OyRJgk6n4/IAgCiKSEhIAGMMbdu2hVqtrrH9ERFcLhecTmelZ4wxqFQq6HS6KuW+Hdxu+/o9INdLVX1WgYLbAilQ8BeGJEkkSRKlpaXRq6++SmFhYcQYIwAEgAwGA3Xr1o127dpFoijy8H92yHLabDaaPn06NW7cmARBIMYYMcbIx8eHnnjiCfrxxx9/cdqSJFFeXh5NmzaNioqKflE6jz32GPn4+JDVaqWffvrpttO43fx+/PFH+r//+79ahd2+fTv16NGDQkJCSKfTUaNGjejZZ5+la9euedWBKIr09ddfU4cOHchgMJDBYKC2bdvShg0bvMJJkkTZ2dn0zjvvULNmzchoNJK/vz916NCBVq1aRS6Xy6t95eXl0ejRoyk8PJzUajWFhITQs88+S+np6bVqg5Ik0ZQpU4gxRr169SK32+3VLmbNmkUtWrQglUrF27xKpaKWLVvS/PnzyeVyVZlmRkYGjR07lurUqcPbE2OMAgMDadSoUZSTk1MpXmJiIj3++OMUERFBWq2W6tatS/3796djx45VqqMTJ05Q7969ydfXlzQaDTVt2pRmzZpFTqeTy96kSRNSq9W0Zs2aW/ZJSZLogw8+IB8fn0qXv78/NW7cmIYOHUqHDx/+VX1bkiS6fPkyffjhh784jf8F5DpbsGABXbx48Y4YvxT8+aCQQQV/aUiSRGfPnqXGjRt7TWwyGZR/q9Vqmj59Op9Q/+yQJIlycnKoa9euXuWRyyT/HxISQidOnLjttEVRpNWrV1N4eDiZzWbKzs6+7TQkSaKePXsSANLpdHTp0qXbSuN24HQ6aeLEiWQymahjx463DL969WrS6XRe9SVfoaGhdOXKFV6OnTt3kk6nq9R+1Go1bdy4kYcrLi6m++67r1I4xhgJgkBvvPEGiaLI5e3Tp49XGPnq2LEjlZSU3LIM586dI5PJRIwx+vLLL3m7LSkpod69e1eZdsWrf//+lUj+hQsXKDIyslLYiuk0b96cMjIyeJwTJ06QxWKpsi7NZjN98803vI4uXrxYiWQCIEEQaPLkyTzcjBkziDFG9evXp/z8/FvWxeTJk6vtB/Lfer2eli1b9ov6t9vtpvfff58sFgtFRUXddvz/FSRJoj179lDLli1Jo9HQoUOH7ojxS8GfDwoZVPCXRnFxMbVu3ZpPPL6+vjRq1Cj69NNP6V//+hfdc889/JlWq6Uvvviikiaj4kVENT6vOBBXda+6+DXdrwoul4tGjBjBZTeZTPTcc8/R/Pnz6c0336SAgAD+LCYmxktrVJOc8uV0Oqlt27Zcy5iVlVVJc1pTGjJuJoO3KntN9VvTs5ycHD7xd+zYsca6Lysro4YNGxJjjFQqFb300ku0YMECXl7GGL366qskSRLZ7Xa69957edjRo0fTm2++SVqtlhhj1KJFCyouLiZJkmjp0qU8fpMmTWjOnDk0fvx4TiQtFgtduHCBJEmiuLg4UqvVxBiju+66i+bOncvbqSAItGTJkhrbtSiK9NJLL/G8ioqKOIl/9dVXuRwajYb69etHCxYsoAULFtCgQYO4PADo1Vdf5W3Dbrd79Qer1Urjxo2jBQsW0HPPPUdGo5E/e/7550kURXK73dS/f39+v1+/frRw4ULq168fv3fvvfdyEvz888/z+4888gjNnDmTfH19ef1cuXKFJEmin376ifz8/IgxRh9//PEtCc7kyZM56evcuTONHz+exo0bR8OHD6d69erxPM1mM508ebLGflZVmyspKSGtVksAKCoq6pZ9taY+fKt2XVPYqq6nnnqKv2uFDCr4pVDIoIK/ND799FNuPvXz86O9e/d6DaTFxcX05JNP8smidevWZLPZSJIkSkpKosOHD9OpU6fI4XDQoUOH6JNPPqHly5fT5cuXqxyY7XY77d+/nz755BNauHAh7du3j0pLS71kSk1NpcOHD9ORI0fIZrNRcnIyrVq1iubPn0+7du2i0tLSW5LBEydO8MnZYDDQ1q1bvcjad999x7VGBoOBTpw4wZ+VlpbS/v37afny5TRv3jxatWoVJSYmksPhIEmSyOFw0JEjR7iGSK/X044dOygpKYmn4XA46MSJE7RmzRqaO3cuLVu2jPbt20clJSU1ksGTJ0/SkSNHKD4+3quckiRRcnIyHT58mA4fPkxpaWlERPz+li1baMGCBbRo0SLavn07ZWdn83j5+fm0c+dOTgajoqLo8OHDlJycXOXkGh8fz8lc165dOVE5fvw4aTQaYozRfffdR06nk5KSkjh5uueee8jhcJDT6aRu3bpxghgfH0+S5DGJy4Rkx44dXL7HH3+ct6+4uDiSJIkTeUEQ+AfId999x/Pv1atXjW0gNTWVrFarF3GVJI/mTdZ4qtVq+ve//83NwZIkkcvlogULFnDTsdlspjNnzpAkSbR+/XreV8LCwigxMZGnK4oiLV26lD8PDw+nzMxMKigo4B8e9erV4xrk4uJi8vf35+bl/Px8stlsFBISwolmVlYWERG9/vrrvC4WLlxIRB5N3IMPPkiMMYqOjia73V5jP69IBmfMmOHVrtLT06lz586cAD/77LNefcVut9Px48dp9erVNG/ePPr888/p4MGDvH0WFRXRnj17SKPREACqV68eHT58mBNXuU8dOHCAli9fTvPnz6eVK1dSQkICORyOSu0vOTmZ4uLi6JNPPqFFixbRtm3b+MfWzSgoKKDt27fT/PnzaenSpXT69GneT0VRpFOnTnEtsEqlosWLF9Px48fJ7XbXWF8KFNwMhQwq+MtCkiR6+OGH+STw7rvvVkkOsrKyOLHS6XR09OhRkiSJmjZtSgCoadOm9OSTT5IgCHzC8fX1pU8++cRrwk5JSeEkoeIVExNDFy9e5HnKk59Wq6VJkybxSVO+unfvTrm5uTWSwenTp/NyDRs2jE9uFTFz5kyaO3cuJ52S5FnzFBMTwyd1mUCpVCoaNGgQlZWVUWpqKgUGBlYy5UVHR3MtyaOPPsqJS0VT3D333MNNrESVyaBs1hYEgb766isvzciAAQN4ftu2bSO3200zZ86sVD8AKDw8nL7//nsiIvrmm2+qNJGPHj26yjaRk5NDW7dupSVLltC3337L7585c8aLJLpcLlq7dq2XFk0OK6/VA0CLFi0iSZLo+PHjtHbtWvr444+poKCAt42nn36ay75jxw4iImrVqhXXusptIzc3l9d7cHBwjWRw7dq1vJyyGZaI6OOPP+b377vvPk4cZLklyaP1feCBB3idffTRRyRJEg0dOpSX6YMPPqhUbzabjSZMmEBLly6lU6dOkcvlIofDQd988w0tW7aMVq9ezcM6HA5OVoOCgqioqIjOnj3LtWudOnXi8nz11Vc835EjR/I8Z82axcty9OjRavsC0c9kEADNmDGDyyFj7969PI9GjRpRQUEBEREVFhbSww8/TGq1upJJvXPnzpSamkoHDx6ssn09/fTTJEkSXbt2jWuPK6ahUqlo4MCBvO+JokizZ8/20trL6dapU4d27tzp9a4OHDhAzZo185JJo9HQsGHDKC8vj5xOJzVv3rxS3/Dx8aHCwsIa60uBgpuhkEEFf1k4nU5uIlKpVHT48OEqw0mSRD169OAD6tKlS4mIOBmU7/v4+HgN5CqVir7//nsSRZGKi4vp/vvv589CQkKoQYMG/HerVq04QXj99de9JhdfX19q0qSJ12Qyd+7cGsnA4MGDefjFixdXW66K/4uiSL169eIyRUREUKtWrTipY4zRypUrqySDjHlMokQ/r8+SNTxt27Yls9nMZR8zZgyX4WYy+Nlnn/G4sbGxvIxpaWk8z/r161NxcTHt3buXyxYeHk79+vWjjh07ciJbt25dys7Opp07d1aStToyWB1EUaTRo0fzuG+99RYREX300Uf8XU2bNo2Hnz9/Pi/vu+++W2Xdy1ogi8XCNdNXr14lSZK4aTQoKIhryERRpPDwcP6hkJ+fX62Z8ZlnnuEkXg4n35fLIJOiqvDRRx/xcEOGDCG73U4tWrTgZTp06JBX26mYd1X3bw5TUYv44IMPEhHRt99+y+8NGjSIhz106BCXpXfv3rwsBw4c4PdvtWmjKjJYEdnZ2RQUFESMedYHy1rjsWPH8jyCg4OpTZs2XKPOGKOJEyd6yVfxio2NJVEUvT44q+pT8jrFgwcP8vt16tShfv360b333uuljc3IyCBJkuj69eucTDPGqEGDBhQcHMx/Dxs2jBwOh9c7ky+z2ayQQQW3DcXPoIK/LIgIeXl5ADxuTaxWayUXDPLviIgI/ndOTk6ltB566CFcvXoVV65cwbPPPgsAkCQJs2fPBhHh22+/xcGDB0FE6NKlC86ePYszZ85g1KhRAICkpCTExcVVSvfuu+/G6dOncebMGUyYMIG7hDh8+DCA6l1EZGdn8+ehoaGVylUxLit3PZGfnw+z2YymTZuiT58+OH/+PI4dO4Z58+bxOOfPn0doaChOnTqF6OhoXndnzpzBnj174Ha7UVhYiJYtW6JVq1ZISEjAkSNHsHPnTu6+49y5c1XKDAD9+/dHUFAQAODrr79GaWkpAGDPnj3Izc0FEeHRRx+FyWTCgQMH4Ha7QUSYOHEiNm3ahB9++AGvvPIKevTogaFDh6KsrAxdu3bF2bNnuXuTNm3aID09HR988EGV9XIziAhz587FkiVLAABmsxmjRo0CEaGkpISHMxqNPD3ZBQwArzAVkZ6ejsGDB6O4uBgAMHToUNSvXx+SJKG0tBREBJVKBa1WCyKCIAi8DomI183NsgJAQkICAKBevXrw8fHhsuTk5PAwdevWrbbM9erV4/WVk5MDURSRn58PANBqtQgICKgyXsU2VRWICLt27cIbb7wBIoJGo8G4ceNARLDZbDxPuS4ZY9DpdNwFTUlJCZe/YcOGPFx8fHy1ZakNdDodfH19uTuh4uJiOJ1O2O12tGjRAu3bt8eJEycQHx+Pbdu28fKdP38e7dq1w08//QSNRgMiQpMmTZCeno558+YhPz8fJpMJkZGR6NmzJ86fP4/jx4/jk08+4XmfP38eAHDw4EHuZuntt9/Gxo0bsXfvXrz22mvo0aMHhg0bhrKyMgDA/Pnz+dg1evRonD17FufOnUNMTAwAYMuWLbhw4QL27t2LRx99FACgUqkQFxeHn376CT4+Pr+qvhT8/aD4GVTwl4Yoirf0QyZPENVNdDqdDv/85z9htVoBAJMnT8bmzZuRn5+PxMRElJWV4fvvv+eT2IABA1BQUMD/XrhwIQDg+++/R2xsrFfazz77LCIiIsAYw8CBAzF79my4XC6UlJTU6CtMkiSvv6sKK8sjPwsICMCGDRtQWlqKgoICXLx4EceOHcNXX33Fw5eUlEAQBAQHB3M/eowxBAUFITAwEAAwd+5cOBwO5OXlobCwEBs3bsQ333wDURQBVE+OACAwMBB9+/bFihUrUFBQgF27duGRRx7Bpk2bOCEaPnw4ACA4OJjn/+abb2LBggXo3LkzHnzwQUycOBF16tTh6cphAUCj0SA0NLRaGSpCFEXMmTMHkyZNgsvlglqtxocffohGjRrd0lebXL9VEc7k5GQ89thjSExMBAC0bNkS77//vpcPwYrp1/T+bobNZuMEMzQ01Cuu3I5lMikTrqrKzW7yT1fxnnxVJZMc5uZ0iQhbt27FiBEjuHwvvPAC+vbtW6UMVcWv2GYNBgP8/f1RWlqKrKwsSJL0q/xUViyPVO7fcOHChbDb7cjLy0N+fj6+//577Nixg4ctKSmBVqtFSEgIj6tWq70+wNatWwebzYb8/HxcvHgRx48fx+bNm3mecn+o2EYnTpyIJUuWoHPnznjggQfw1ltvISwsDIDHB+MPP/zAyXS/fv2Qnp4OxhgGDBiAw4cPo6ysDEeOHMGLL74IvV7PZbFarV6yKlBQWyhkUMFfFowxWK1WpKWlweFwID09Hc2bN/cKIw+ily9f5n/LmisZBoMB9evX57+Dg4MRFBSE/Px85OXlweVyIT09nec5ceJETJkyhU9u8qSXkpJSSUaZCAKAyWSCSqWCy+XyIntVQdZyMsaQmppa5eR8/vx5WCwWhIaGcmfEly5dwsyZM7Fnzx6kpqbyfCpOwhXTubkMAJCfn48PP/wQW7duxdWrVznJro0WjjGG2NhYrF69GqIoYuPGjYiJicGBAwfAGEN0dDRat24NABg4cCAWL16MxMREOBwOXLhwARcuXMCnn36KoKAgjBo1CpMmTarR+XNNcLvd+Pe//42pU6dCFEWo1WpMnjwZL730Ei+v0WjkcjscDh5X/psxBpPJ5FX2K1euYPDgwUhKSgIANG3aFF988QWfpAVBgF6vR0lJCSRJgsvl4vXsdDp5fZtMpiodYJeUlHANkqwVrEgG5PhXr14FUPmjAPC0dxlBQUFQqVTw9/dHVlYWXC4XMjMzERkZ6ZU2EeHEiROoX7++l+ZQDrNx40aMHDkSRUVFAIBhw4bho48+4m1Pr9fzsA6Hg8vpdDr5B03FMms0GhgMBgDgmjy9Xl/7F1wBDocDhYWF3Am1xWLhWtEPPvgA27dvR0pKSpUfjNVBllPuU99//z3S0tL4R9HN6NevH+655x4cPXoUTqcTP/74Iy5cuIClS5fCarXixRdfxJQpUyCKItf8u91uDBw4EIIgVPpoTU5O/kV1oUBBVVDIoIK/LNRqNVq1aoW0tDQAwMqVK9GjR49K4ZKTk3H8+HEAHi1gy5YtvZ6Logi73c4nRVEU+YCv0Wi4FkNGq1atuBatIqKioioRJoPBwCdFQRBqfXJAmzZtsHXrVgAeE+vLL7/sFV+SJAwfPhyXLl1CTEwMZs+ejfDwcPTv3x+XLl0CYwytWrVCz5494ePjgylTpgBAlZqXmzVPzzzzDL7++msAQIMGDdCzZ0+0bdsW48aNQ1lZWaVTMG5GTEwMmjVrhrNnz+Kbb77BAw88wE3zw4cP5/kFBQVh586dWLlyJb744gucOHGCm42zs7Mxffp0NG/eHE888USt6qwiiAgff/yxFxGcMWMGXn/9dT7xMsa49lHOUyYz8mRNRAgPD+f3MzIyMHDgQJw9exaMMURFReHrr7/2+pgAgLCwMFy8eBF2ux1FRUUIDAxEUVERJ5lms5mbNW9uE4Ig8Pckn4gih2nfvj3WrFkDwGNKfOedd+Dn5+cV3+Fw8CULjDG0a9cOGo0G0dHRuHDhAhhj+O6779ClSxev9pqXl4c+ffpAFEV07doVCxcuRHBwMIgIO3bswHPPPYfS0lIwxvDMM8/gk08+8Tr5Izg4GCqVCpIkIScnh9dZRdN2WFgYLwsR8Y8VrVZ7y3ZVEy5evMiXIdSrVw9+fn5wOBwYOnQo9uzZAwBo0qQJevbsibvvvpsvE7hVnrm5uRg4cCAuXLgAwLPso0ePHggICMCkSZM4+QQ8mvkdO3ZgxYoV2LBhAxISEjj5zM3NxYcffojIyEg88cQTvN7UajViYmK8SLDcJm5uUwoU/CrUtKBQgYI7HcuXL+e7gHU6Ha1fv97reV5eHnXv3p0vwm7bti13YyFvIFGpVLRixQoi8ix4T0xMJIPBQIwxioyMJJvNRpMmTeILuP/zn//wRfDXrl2jlStX0pEjR/gO4YobSOTdpUREZ86cIYPBQACob9++NZYrISGBh9VoNLR+/XqvRf3/+c9/uB87g8FAV65coY0bN/JyPvXUU1zGLVu2cHnGjRvHXZDIfvdMJhNlZWWRJEmUkpLCy9m6dWvuSubq1atcnk6dOnE5qnI6LUkSTZ8+ncsSGBjIHRRXdNmTlJREGzZsoJkzZ1JJSQllZ2dTXFwcX7DPGOM7fHNzc3kZOnToUOPmG0mSaNOmTdwFiyAItHjx4ipdBR09epS7YenSpQu5XC4SRZH70QNA+/fvJyIiu93Od0vL9ZOenu6Vr/z/o48+ytuW7G4mPj6eu7F54IEHqiyDJHn7SYyKivJyI3LlyhXeNuX3WdG9idPp9GqrPj4+dP78eZIkidatW8c3MwQGBnptuHK5XDR27Fj+zuQduZIk0fnz57lPQMYYjRo1istUsS4LCwvJ19eXAFBwcDDf0Tt16lQu75w5c3j4nJwc7qC6e/fuNW5aqW4DiewtoGfPnly+l156iSRJonPnzvF7nTp1orKyMu6eR64HeUNLaWkp3wkdGRnJ096yZQuXfciQIVz27du387THjBlDkuRxfr9x40aaOXMmFRQUUE5ODm3bts1rF/0LL7xAoijyDW1qtZri4+N5fkeOHKENGzbQyZMnucsq2c+gWq2mAwcOVFtHChTUBEUzqOAvjccffxyLFy/G4cOH4XQ68dRTT2Ht2rWIiYlBTk4ONm7ciGvXrvGF7O+9957XOamAR8v29ttvQ6VSITAwEFOmTOFmuh49ekCv12PAgAGYPXs2HA4HX3NWv359jB8/Htu3b4darcbMmTPxxhtv1Cgv1cLUCng0EMOHD8dnn30Gt9uN2NhYrFu3DnfffTfOnDmDr776imsvhwwZggYNGuD48eNc65KamoqMjAyukZDvVzR/yufplpWVYf369fDx8cEDDzzAZSgoKMC1a9dgsVgwdepU2O32SubU6so3ZMgQzJgxAzabDbm5uWCM4f7770fDhg152GnTpmHDhg0APJsx3nzzTbRu3RrNmzfH9u3bAYCvDax4pvD169exbt06BAQEoGfPnpXM3iUlJXjnnXfgdDrBGINer8eGDRuwadMmHq5Zs2aYPXs2mjVrxrWYhw4dwqxZs6DT6bB7924QERo3boxWrVqBiLBq1Srs27ePp+F0OjFixAivvN977z106tQJ/fv3x+bNmyFJEqZOnQpJkjB37lyuKRo0aFCV9Se307p16+LatWvIyMjwMuXXr18fo0ePxqxZswAA8+bNw8GDB9GvXz8wxrBjxw4cPXqUp/fSSy+hadOmPM+YmBgcPnwYubm56NmzJx577DE0aNAA+/btw969e3ldvvLKK7BYLBBFEePHj0dhYSEAzyaGM2fOoG/fvjwPHx8fLFu2DD4+PnjwwQfx1VdfIScnB2+99Ra6deuGRYsW8U0lffr04fGKioqQm5sLwKNVr43WnDGGLVu2ICUlBZIkoaCgAPv27eNnM/v5+eH1118H4L3uNicnB8nJydDpdJg0aRJvp7LmVbYAMMaQmZmJ//73v/Dx8eFpMMaQnp6OGzduID8/HzNmzOBpy2nMnDmTa22Tk5MxYcIEtG7dGtHR0VzLL68BffTRR7F7926IoojXX38dc+bMgSAIeOqpp3D58mUYjUZs3boVDzzwAN+AJIoi4uLicO7cOcTGxv5ik7qCvyn+IBKqQMHvAkmS6NKlS16nS8hf8qjgksFoNNKcOXO8jqOTNYOCIHAtW8UrLCyMUlJSuCbtueee8/IHZjabvVzLZGZmEhHVqBnU6/W10gxKkufc4D59+lTyf1bxuueee/hZt1evXqXg4GAvjZyPjw8JgsC1pw899BDX6gwfPtyrvsLCwqioqIjatGnj5RZHdoEha9BCQkL4cWrVnUDicrn4cWyMefwOrl69upJWTnZSzBijgIAAL3cbERERdPnyZSLyaLwquvJhjNHgwYOrrLeKzpWrulCuXZTPyl21ahX3P1ixnlUqFS1ZsoQ7Lu7YsWOVaVW8ZA1ucXExxcTEVPnOWrRowbXI1bmWeffdd3nblN3VyGFLS0tp+PDh/H1UdQmCQMOHD+enp8jXpUuX6O67765Sror1KjtkvnjxopcblarKHxAQwDXL8fHxXu6Z5DCCINArr7zCHS/L2jVZjlWrVtXYHyo6na7u8vX19TphqLi4mFq0aMGf+/v7c5+Wct01atSI+wmMiorySq9nz5509epVCg0N5fcq9ik5jQcffJBcLhclJiZ6HcXn7+9PVquVhwsPD6cff/yRayJlX5SMeRy/yxpfxhg9/vjj3Jl4RfdH8vPr16/XqElVoOBmKGRQwd8COTk5NG3aNIqMjCSTycQHV6vVSv3796eDBw9WGjxlMujv70/z5s2junXrksFgIJPJRJ07d650rFVxcTFNmTKFwsPDyWg0ksFgID8/Pxo6dKjXhD1p0iSyWq1ktVpp9+7dPL/z589TeHg4Wa1WGjZsWK0G89LSUvq///s/atasGZnNZtLr9eTj40P169enDz74gJ/UIWPbtm3UrFkzMplMZDAYqFGjRvSf//yHunTpQlarlSIiIjgROXr0KDVp0oRMJhMZjUaKioqinJwcSkpKovvuu4/MZjMZDAYKCgqid999l55//nmyWq0UFBRE+/bt4+ZQq9VKderU4SZgIs9kv3z5ci+nuxXPu5Vx9OhRGjhwIPn6+pLRaCSTyUT+/v40ePBgSkpK8gr72WefUVBQEA/32GOPVWlmff/99ykgIKDKS34v3bt3p0Cg1AAAIABJREFUJ6fTSUQe/3/Lly+n+vXrk8FgIIPBQOHh4fzjQW5fDRs2JKvVWmPasqNt2eT++OOPk8ViIb1eT2azmXr06EHnzp27pR+/3bt3c0L7+eefe5FBmZyuWrWKOnXqRL6+vlxui8VCHTt2pOXLl1c6HUOOm5GRQe+88w7Vr1+fjEYj6fV6fibvokWLvE6O2bx58y3rsnHjxl5nW+/evZv789Pr9WS1Wmns2LH8SD1ZjilTphAAMhgMlJqaWn0nIKIZM2ZUWffh4eHUtm1beu211+jUqVOV6jUhIYE6dOjA23JoaCi9//779OSTT1JAQACFhITQ8ePHSZIk+u9//0uhoaFkMpnIZDJR3759yeVy0fbt2ykqKor3+YYNG9K8efPowQcfJKvVSnXr1qXMzEySJIkSEhJo0KBB5Ofnx9upn58fPfLII3w8kXH9+nV65plnKDAwkAwGAxmNRgoNDaXx48d7OTVPSUmhjh07ktlsJqPRSEFBQXT27FmFDCq4LTCiWtqlFCi4w0Hl5rS0tDQUFhZCq9WiTp06MJvNACq7uoiMjMTFixdhtVpx8eJF6PV6JCcnw2g0eu0CvhkOhwOpqalwu90IDQ2Fr6+vV/pyl2MVXHRU1w1rYxqj8oX26enpKCwshNVqRXBwMN9kcHMaTqcTaWlpcDqdaNCggZdvu5vhdrv5ruPw8HDodDowxiCKIjIyMlBUVITw8HBYLJYay3Zz2QHggw8+wNSpUwEAsbGxWLFiRbUuS4qLi/kGjpCQEL6D92YTsM1mw40bN6BWqxEREVFpU05F+aqry6qeU/kO2OTkZEiShPr163v5GqxYrtq+MxlZWVnIysqCn58f9w1YUxpyOTt27Ihz587h6aefxvLly6tMm8jjazMrKwuAx7VPUFBQte5hKsZ3uVxITU2FzWZDSEhIlZuiaiPrzWGo3KSZkpICm82G8PBw+Pn5edWlKIro3Lkz4uPj0b9/f3z55Ze33MxRVXu4lZxyXjdu3EBJSQkiIiJgMpmqzaOsrAw3btyAIAiIiIjgMrndbly/fh0ulwv169fn/aS6fn1ze664a/1m+YqKinibDgsL89qsJkOSJNy4cQN2ux0hISHVjmkKFFQHhQwq+NugJnJS1aApk8HAwEBcvHgR/v7+VU4wte1CtyJ9VRHD2g7mVaVb3YR/M2GrScaq5LpVmaubkBljSE5Oxvbt25Gamoq5c+fCZrNBEATs3r0bXbt2rTZ+TWlWd786clAbIlRdnVVX1tq+s9qQ/toS1lmzZmHChAkICwtDUlIS/P39q8ynKhmrk/VW7bOm3zXJWhNJqyqNc+fO4Z577kFZWRk2b96M/v373zKP6vKpqa/Xpt/UFKamMtS2j8hha2qzNeV7q3sKIVRQGygbSBT8bSAPihUHx5ommKqe1fberWSorXy/Nt1byVub8txOvd0qrZSUFIwZM8Zr8f6AAQNw77331ip+TXlXJ3dVv2+nvmq6X9vntxOutnk9//zzWLhwIa5du4atW7fi6aefrjGNX5v3req3tunVJt6qVatgs9nQpUsXr80otc2jqvu/tC39r9tExbC/VOZfOy4pUKAcR6dAQTXo0qULHn74YfTq1Qs6na7WGkAF1SM8PBxRUVEICwtD06ZNMW7cOCxdurTSDm4Ft0ZAQADee+891KlTB3Fxcfy0nTsdpaWl2L17N+rVq4fp06f/Kv+CChQoqB0UM7ECBVWgtqZkBbcHed1mWVkZX3OnmLR+GeS1oiUlJVCr1TAajX+J+pPXiALwOmP3r1A2BQr+rFDI4F8E1a2H+TNNtLVZw1PbuAoUKFDwZ8DPUyiBMcXYpuDOhLJm8A6HTPgyMzP5ea+ytsVqteLee+9Fs2bN/mgxOTZt2oTLly+jb9++iI6Ovi1yZ7PZ/jLaDwUKFPy1QAQoQ5OCOxWKZvAOh/z6Nm3axM9orahFM5vNmDBhAiZOnFjlubO/J4gITZo0wdWrV7F//3506tSpVsTO4XDgiy++wN69e/HZZ58pZFCBAgV/GhARrly5AofDgebNm//R4ihQ8Iug6LTvcMhawOPHjwMAunfvji1btmDjxo0YPXo0nE4npk2bhr179/L1WjJZrPh/VZeMm8PVdK+mtCVJwpgxYzB37lxER0fXmHfF66OPPsJzzz2H4ODgSnFqm0ZtLgV/LxB5fPBdunQJ169fV9qAgl+Mffv249Chw3+0GAoU/GIoZuI7HLKZ+NixYyAi9O7dG/379wfgOWs0JycH69atw3//+19069YNRISsrCwsX74cCQkJ0Ol0GDRoEAYOHMg1hzk5OVi+fDkSExPhdDrRokULvPTSSwgLC+N5Xrp0CStXrsT58+fh7++P2NhYdOnSBQBw+fJlrFixAs2aNUNERAQWL16Mzp074/7770deXh4aNGgAi8WCa9eu4fPPP0fDhg3h7++PL7/8EowxPPvss+jatSskScKiRYuwZs0aSJKEc+fOYefOnejVqxcKCgqwbNkyXu62bdvihRdegNVq5QvQ58yZA19fX/Ts2RNz586Fv78/Zs6ciaNHj2Lt2rVISUmB2WxGt27d8NRTT/GzeBX8PcAYw/79+/HFF1+gWbNmmDJlyh8tkoI7EKWlpThx4iTsdjuefvppaLWaP1okBQpuH6TgjoZ89FRAQAAJgkA//PCD1xFp8+bNI8YYderUiSRJojNnzlDDhg1JEARq3rw5+fn5kUqloo8//piIiDIzM6lp06ak0+koJiaGGjVqRAAoMjKSny+6YcMGMpvNpFKpqEGDBqTVakmtVlNcXBwREc8zJiaGTCYTCYJAGzdupGnTphFjjF588UWSJIkWLVpEAMhoNFJISAjddddd/BzO48ePU2ZmJoWFhXmdp7po0SK6cOECNWnShJ/vGRQURACoWbNm/Nir/fv3EwCKioqisLAwAkBTp06ltWvXkkajobCwMOrUqRNZLBZijNH48eOV45vueEhEJJb/X9NVHlqS6KuvvqJhQ4fRP97/RxXvv3Kcn+/fWpabcrutkii4c3Ds2DEaNmw4DRs2nOLjj/6maStjkoLfC4qZ+C+A8+fPo7i4GFarFY0bNwbw865bURQB/Hzs0iuvvILr169jzpw5OHHiBPbt2wej0Yh58+bB4XDg66+/xqVLlzB48GDs3bsXZ8+exdSpUzFixAi4XC5cu3YNI0eOhMvlwrp163D+/HksWLAABoMBGzduBBHh2LFjAICkpCR88MEHOHPmDB5++GEcPXoURIQOHToAAI4ePQrGGKKionDy5EmcOnUKTz31FBwOB1avXo3AwEBs2LABAFCvXj1kZmYiNjYWr7zyCi5fvowhQ4bg8uXLuHTpEvr3748ff/wRixYt4mkDwMWLFzFs2DCcOnUKr7/+OhYtWgS3242lS5fihx9+wJEjRzB69GjcfffdXo6QFdxBIPk/xi+gfF0pyX9XuMrDe/qIUOGZnBgBkNsC86RRlQW50j0CyfGoYgDJKzCBAIjll/xMMVHfSSC+vAQ4cOAQX65z4MDB32UcIaq8TOZ24/1eoGqW4lD50iEFfw4odrG/AE6ePAm32426desiJCTEa4PF2bNnQURo2LAhkpKSEB8fD4vFgoiICOzbtw9EBLPZjPz8fOTm5iI0NBQqlQpffvklrly5ggEDBiA2NpaTzJkzZ6KwsBB9+/bFI488ApVKhdjYWDz88MMwmUxwOp04deoUAGD8+PEYM2YMGGOw2Ww4d+4cGGNo3749XC4XTp8+DSLCm2++iZCQEACeNY+rV69GamoqGGM4e/YsAKBly5YICAjAhQsXcODAAajVasyePZsfEde3b19s27YNJ0+eBABOSAcNGoSZM2dCo9FAkiTUqVMHgOcs3G7dumHw4MGYPn06fHx8lI0pf3IQfqZsP5M1AjEBKKeAAAOBOCFkVfA4xn4mZwySh0AyKidpMgTIJM3TLCq4bOLpyH97KCgggfFl2IzfAwkV+CSVy8h4KPlfBXcOZJddubk5yMvLQ5s2bcAYQ3Z2NgoKChAQEPCb5XXo0CHk5uZ63dNoNAgPD0dkZCQ0mtqbpePj45GdnY02bdrwc7D/l6hIAN1uN1+Kk5iYiPT0dERHR6Nhw4b/czkU3BoKGbzDUXG9YNu2bbm3fiJCRkYGduzYAUEQ0KtXL1y5cgVOpxNEhOeee84rnYCAAOj1ejz00EOYNWsW5s+fj8TERBw9ehSzZs3CihUr0K9fPyQkJAAAunbtyju2TqdDaGgoAOD69etISUmBWq3GiBEj+DrErKwsXLt2DYGBgWjYsCFyc3Nx+fJlAPDaVZyZmQngZ2ezctnatWsHxhguX74Mp9OJ6Oho1KlTh6+ZzMjI4LI4HA6cPn0agiBgxIgRXE7GGGbNmgWVSoWvv/4aGzduxMaNG9GhQwfs3LkTfn5+/5uXpOA3gTcdK/dVCZkIElBu6PCQPRV+JnyVUyIen0EAAyOpAi2jcj8hP+cmk82f3Yd4p01gAKk8v5kLxARQOSFkzPMXJ4dgXFY5OzBvqqvgzw2Z5GRkZODFF1/A3r0/QBQlDBs2BKmpqb8ZGXS5XHj++edx4cIFfk8eKzUaDQYNGoQVK1bU6gQft9uNF198EefOncOuXbtqRQbl8fWXQI7rdDrx9ddfIyUlBWPHjoXb7cbYsWNx6NAhbN68+bbI4C+R59eU4e8EhQze4XC73Thx4gTXuAGexu90OvHWW28hPT0dkZGRGDx4MPbt2wcAeOCBB7BmzRqusXO73bBYLPDz80N6ejoGDx6MF198EQcPHsSMGTOwd+9ezJs3D/369eNmZ39/fwCexdNTp05FQEAAXn75ZVy6dAmFhYWIjIxEREQElzMxMRGiKCIqKgomkwmnTp1CQUEBGGNwOBxc5m3btgEA7rvvPkiShJMnT0IQBHTo0AGMMajVajDGIEkS7+QlJSX46quvAACdO3dGeno6UlNTodVqOdEkIjgcDhQUFGDp0qXIzc3Ftm3bMGnSJBw7dgw7duzAsGHDfrf3pqBq3Dxw/6xZkKkUQSKCw+mE02EHpBwwygQRkJ4rwa3RQqNTQ61SgQkMAmM/Ey4QRIkgukTA7YDVrEZgQBo63atHWIQLknQKjGkgkQPFJS6kFxJUWj0EjQqCoIJKECAwT5oEQJIkfrlEN0SnC8EmNQIsAgSmh8AMIOgBpgNIBUALggYShHKCWE4+GcrN2VD44B2GqKgoL5ddderUQUhIMG7WY/9SpKam4saNG9BoNHjjjTdgNptBREhLS8OKFSuwfv16DBs2DAMGDADgrYm7+cABeVzU6XRo1apVJbNt1f2u6sMLqsvn5t9EhLFjx2LJkiVYtmwZH4fvu+8+REVFISYm5heZrWuKc/OhBgpqB4UM3uEoKyvD6dOnAQAJCQmYMWMGioqKsHPnTpw+fRoBAQFYunQpzGYzOnTogJCQEBw5cgT79u3DXXfdhQkTJmDXrl1YuHAhGGMYOXIkIiMjsWTJEkRERKB+/foAwL/eOnbsiLi4OHz++eeoV68e1q5dixUrVuDuu+/GW2+9xdfqxcTEeHVK+b6svZR/ExEmTpyI119/HZs3b8aBAwfQpEkTPPHEEygoKMCNGzcAADdu3EBycjJat26NwMBAnD9/HtOmTUPnzp2xZMkSnDp1ClFRUXjqqaewb98+FBcXo1WrVtyM7Ha70bt3b+zbtw8vv/wyxowZgxYtWnATeYMGDX63d6agejDG4Ha7YbOVwW63o7i4GIWFhUjPykZmbh7UGjWgVkGl1UCjVUOvu4DIurnIzizE/gsl0IeHwmQ2QmvQQaNVQ61SA4z4mlmXm+Asc8OVn43GAYToBnq0aBEBvVkLxo54iBsrRam9CLtOZsHgFwStWQ+tXguNVgWNWg0BAiSUp+cS4XK6YC9xwJWXhYfaBMHfogFjfpBAcLlsKCsrRZlDg9wiP6Tma2Dwq4sQ3xgYNRoYtCoYdWroVOWrFxUtxh0FQRC83hdj7Df153rhwgUUFRUhNDSUn9Msfwz/+OOP+OGHH3Dp0iUAnrFU9rhQUFCA6Oho9O/fHwaDAYBn/bR8X9ZcZmZmYvv27bhy5Qp8fHzQu3dvtGzZEowxxMfHIzk5GXfddRfatGkDADh+/DiuXLkCk8mEnj17QqPR4NixY9izZw+KiorQqFEjPPLII/D394fdbkdcXBzi4uK4pSo5ORk6nQ7t2rWDn58fdxdmt9uxe/duJCQkQKVSoX379ujevTu0Wi1XFHzzzTcQRRHdu3fHzp07cfbsWURHR2PQoEHcIlZSUoIdO3bwJUmtW7dG7969odPpfrN38leFQgbvcJw7dw6lpaUAgM8++wyAZ1CwWCzo3bs3pk2bhnbt2gEAgoKC8Mknn+Dll1/GkCFDoFarQUQYOXIkhg8fDkEQsHfvXqxfvx7du3eHWq2G3W5HTEwMpk6dCgAYNWoUvv32W/zwww/o06cPAKB169ZYs2YNtFotX6snbxKRFw4fO3YMjDF+Xzb/PvbYY/juu++wdetWuN1uNG7cGOvWrYPZbIbdbke9evWQlpaGUaNG4dNPP8WIESMwb948vPbaa/jHP/4BQRBARGjfvj1WrlwJs9nMiaacl6xRnDNnDoYPH46FCxdi2bJlEEURGo0G48ePR8eOHX+P1/W3QCWdCDeDyn8ySBKhzG6D3e6AzWaDrbQMNpsNpTYb3C43RFGE2+2G2+2Gy+1CaZkNpUWFcIgiTAH+0AqAJAAlkoQ6TiA1uwQqixlakxZagxoavQC12nMJgkeT53YzMLcbgAaSy4IbJTm4i+lggQsCAIE5AACMnAjwUaOhVYtrxUWABlALDG64IEkqkMDAiCC5BbjcdrgcLthtDoSYRYRaRKigAYMIAkHNXFAzGyA58FNGJlLtGhgoHykFrSCKApjoguByQZCc0KkBHx0hMMgXgX5G+Ov1MOrUUAkAMcljapY1iJAACOUVLXrMzsQAwQ2C+uf65y+j/I+bfyv4RaiJsP+WZF7edNeuXTu+3IWIkJCQgKSkJABAo0aNIEkSZs+ejX/84x8AAK1Wi+LiYjz88MNYv349dDpdpbE5ISEBjz76KNLS0mC1WpGbm4vp06dj/fr16NOnDzIzMzF06FA0a9YMR44cwcmTJzFw4EDY7XZ8+umnEAQB06dPx/Tp06FWq6HValFYWIj58+fjwIEDuHjxIp555hk4nU4AwMSJE3H//ffj1KlTGD16NAYNGoSHHnoIKSkpGDZsGOLj46HRaPiH24ABA7BmzRro9XpcuXIFw4cPB2MMkZGRSE5ORl5eHgRBwIIFCzBy5EikpaWhf//+OHfuHOrUqYOcnBzY7XY88cQTWL58ea1M6X9nKGTwDkejRo2wf/9+r3sGgwHBwcGoU6eOl+88IsIjjzyC9u3b49ChQ7DZbGjTpg2io6P5l9WyZcvw5ptvIikpCU6nEw0bNkTHjh1hNBoBAH5+fti2bRsOHjyIlJQURERE4N577+Vr/KZOnYo33ngDUVFRXqaCWbNmwWazoWXLlnC5XDh16hTUajXGjBmDmTNn4uDBgzCbzejSpQsCAwN5OTZt2oTvv/8eZWVl6Nu3LwDgiSeeQOfOnXHw4EEUFRWhcePGaN++PTehDB8+HD169EC9evW86qV169Y4dOgQjh07huTkZBgMBrRu3RrNmjVTtDG/Efg7BwAwEAPckogyhwOFxcXIyc1BZmYW0lPToRMEGA0G6HR6aDU6qNVqCIIAQVCBMQEqlRpqtQi1WwNB8GzNyMzNg624GGCAIIkQjRpcz7EjqxRQBxih0WigUquhUquh0Wig1WqhUqnKj2n0aGwkrQsanRoOuxYlpSKsejXcLoIgOCAwEZLkBiQ7WjbQIvt0HkqL1SBGUJMWWhdBxTybV1wS4HC54SpxQu8uRFQjEwAnXG4BGnUxCBJcoh1uSYLdyZBnc0NlNkOtUYPsLkhuHdySCLeT4HSIKCm+AVdRMUw+VhjMJhhNFphMWgSYDbBaGKxmA/wMauh0KqhUgJo8mkQwASLzrE0EqaDi6xBRcfM0vPfBKO39fwe+LuFX4/jx42CM4cqVK3j22WfhdruRlZWFY8eOoaCgADExMejVqxd27dqFqVOnIiIiAhs3boSfnx+efvppbN++HT/88AN69uzJyWD79u3BGMM333yD0NBQvP3223jssccwe/ZszJo1C3Fxcejduzf69euHjh074ujRo3jvvfewadMmlJSUYObMmXjyySeRl5eHY8eOoV27dli4cCF8fHzQq1cvJCUl4cyZM2jWrBneeecd/POf/0RMTAzmzZuHli1bcqVF+/btuYeLI0eOoFu3bpg3bx5cLhdiY2OxZcsWbNiwAU8//TTOnTsHm80GtVqNAQMG4IUXXsDkyZOxfPlyxMfHY+TIkVi5ciVOnTqFsWPHYurUqUhPT8fbb78Ni8WCoqIiPq8oqBoKGbzDERgYyBv5rdZKyGs56taty4+uuxlqtRqtW7fG3XffXSmeDKPRiIceeqjK+BXjyVCpVGjbti1P4+rVq8jIyIBer0d0dDT8/f35buWK+RERQkJCKq3lY4whPDwcjz/+eJUyNGnSBHfddVeV61h8fX3x0EMPVXqm4NeDUL5e1eFEbn4+MnJykFOQj4LiYpSUlJav83OguLAIPiYTfKxW6PV6aLU6aNQe0iabwQDPmjxRFD1mt3JTr5/bjbSsTJAoQjLqIeiB9DwnikUVTBoNVCo1mJpBpVJBo9FArzdCp9PB6XSBykohShIEwQWmEQBBh4LiMoT6EKBSww03BCaAJAlupx16BkTX0SL+Wj5K7WUINAE6LYOWEZhEKJGAojI9yF6MyAg1fNVu2J0etzFutxMgCW5RgtMhoaCUwSYK0KkFMLUAh7sU5GQQXSJEZwFQmgx/8RpETR7sjsZwasJBjKHMbUK+TURyrgqM2aFWAT4aARYDEGDWwmrRIdCigV7NoBIIniGdQEwq31wj729m5fSkfMezohj808PlcnHvCNevX0dqaipKS0shSRKaN2+O1157DWPGjIHRaMTChQvhdDoxYsQIPh906dIF+/fvR1JSErp164bExESoVCpu8p0wYQJGjBiBK1eu4LvvvuOaRqvVCsBjAp86dSoeeeQRzJs3D4wxjB07Fm+88QYEQUBgYCDWrl2L5ORkJCcn46effkJRUREYYwgICIDFYkFhYSEAzxrwdu3aQZIkJCYmgjGGdu3a4cyZM9izZw8sFgsWLlzIx+0hQ4ZgypQpOHjwIGJjY/kJW3369MHkyZPBGIPJZAIAhIeHAwBXaKxduxZ2ux2DBw/Gpk2boNfrf4/XdcdDIYN3OKoiMr+FCePmcL8lYfrxxx9RVFTE1/TdbhlqG6amMigE8LeD2y2ioKAAObk5SL2ehtS0NEgaDW4UFsAhuiEIKoAIeq0Wof5WMLsL/gYTdFot1OUaPLVKXUEzKHAfZPwDRxIhaTQw6fXw0Rug87HAAY8pWRI9u4oFxqCCvNsX5dpFFbRaLUTRsxaPQQCYCoy5ITGgxO6Eze7ZXawWRTAIIFGA26VCmU2Ey+aE1l6GYLMDDY0GGE0C1CoBbpJQ5nQi212CPIcIu80EW7ETGgiwixowlceU7HYTHHYHSspYOQ3zCOdyioAjH4LjDPzcZ2DRZMNoskHFRDjcqSgWrShyNIRdagnRXQdQC4BaglOUUGYXkFUE0A0bVI50mFynUdcvD+EhQQgIbA6LfxNotP4A1OXaQgZABQap3Fzv2RItO+BRWOFvh583Wfz6dC5duoS8vDz4+PggPj4ederUwYwZM/Dvf/8bDRs2xKRJk6BWqyGKInfnNXnyZEyZMsVrI5ZGo8G1a9eQk5MDf39/NGnSBFlZWYiNjcWePXvgdrsRGhqKwsJCMMbQtm3b8jIwxMTEwN/fH1lZWejevTs+/PBDvk4yLi4O48aNw7Vr16DVahEUFITs7Gzu77biMan33HMPGGO4ceMGrl+/Dr1ej5YtW2Lv3r2w2+2Ijo5GkyZNeP3JS59kP4SyVvPRRx/l5Tpx4gQAcHI7cuRIJCYmYvPmzVi8eDEWL16Mtm3b4osvvkCjRo1+3Qv5G0Ahgwp+N8jauQ4dOiAhIQEWi0UhZXcIfnap4iF/ZWV2FBUVoqCgCEVFRXA6XHA4ylBSUgK7REjPz0OB6AJTaQBGkBhBcJbBlpMJPwEw6rXQlBNBlcpD2mRiKJNBzwYNFwBAkkSoJQ20ag3MJhOu5+ehVMXgZ3Qh2KKBu8zm0RZKEiDJG0bccDodkKRy0iiJIJIAiXkIJAmAFIrs7Fz4+pZCq9GCQQUJLtjshJwCFy6l5CM8wIiGdU0wmHUwqBhUakAigtuhg5/RjbR8F27k2iBKGoSLOhj1Epja5SG0bhElNoLLEQANnCCRgUkSqPgnmO0nEGq4DF+rGwatCjpBAxLUIBLhcueg2JGFjOIryLW3Q4m2KQS3HipSwSVIEEQ39I7L8MFh1DVlwqxiKCu6hIziBNxIZlBrQ2A0N4XJ0hhGn7owGINApPWsLWSAR0MIKMfT/zJUJFseAuMxDXvGOKm8v/y6se306dOw2+2IiIhA48aNoVarMXXqVGzZsgU7duzAhg0b8OSTT3KH13q9HuvXr+eb/lwuF7RaLerWrYu9e/eirKwM0dHRCAwMxDvvvINdu3YhNjYWM2bMgMViQb169SBJEidXNpsNQ4cORXZ2NhhjuHDhAkpLS+Hv74/CwkKMGzcO6enpWLduHfr3748vvvgCzz33HCd+eXl5+Omnn2AwGNCyZUsAwKVLl5Cfn4/IyEiEhoZy7xTyJhfAs5lk+/btADwk0ul04uTJk9Dr9Xz9e3FxMc6fPw+TyYTmzZsD8LgVW7ZsGT766CNs2LCBu0ebM2cO5s+f/6vexd8BChlU8LtB/uqzWq3cFKH4gPrzQ5Ik2O3Dmw5GAAAgAElEQVR2lJba4HA4IYoiHA4nHHYHnE4XGFRgTIQgeAidJAhwatTQ+PpAEDSeCZIBJLrhsNkAlQCmUkMoNwkL5Ro82bSr0+nK83CUr/VjEAQV1xqq1Rq4BRXIYoSossPPokdZfglsDhE6twS1GxDUPxNJQRA85M3thii6IbpdEF0iNCoLYto+jrKc80hO3QVQIVQqAU5yI7/YhMs5ZQg2GVA/1AA/kw5aowCdTFYlBpdGBNMAoSDY7Vok5wHFdkKovhhqjYfQQtIhJLwr7mraEfmn9yDDlQKtWAazbRci/PJhNamg1xuh1hHUTAvGRBAjiCKg1QM6TRY0BfG4XCzCjvoQoIJLAIzuqwjUxaOuNQ++BgEanQYqjQg1BI+JWMqEsygVhbl7YCszw+ZuAI31PoTXaYhgqx+MWqa4s/kVqOiuKi4uDvv37wcRQafTYsCAATAaDbdO5BaQN9m1bt2au9QyGo14/vnnMWHCBPzrX//CE088AZVKhfvvvx9r1qzB8ePH8f/svXewJWd95/15QqcTb547QZo8GmWUGcIiC1jAgA3YAmtNKKJt4LVf71bZay+u18b2voZyIbm8ZRHWRi4EGAtYggR+jSyBNBiEFVBEGmmkCXfSnZtOPt39hPePPufOSJYxjMYo3W/Vmbn3nj7P092nw7d/4ft98YtfzG233cb73/9+zjnnHK677jpuv/325UY77z379+8HYOvWrVhr+dM//VMajQZbtmxhYmKCNE35jd/4DW688UYuvPBCoijiu9/9LldffTW///u/T7NZPARqrTn99NN56KGHuOqqq4CiNhvgwIEDLC0tLZ/P3W73cesBRVlRkiTceeedfOlLX+K8887jL//yL7n33nvZvHkzb3zjG3nwwQdpt9tMT0+zfv16hBDLrlvr1q1j/fr1fOQjH+FjH/sYr3jFK/jzP/9z3vnOd3LHHXfw93//99Rqtaf8XTwfsEIGnyHwvugOFMJQ1Pco8A5Eoa0mvTyW0jlJF+9j+lGPT2scryd1/HInYcbBuPJfPVk/UePqZM3nfSH468Sw2F4gnMDJYw4Uwg8Egp9zN8UnFIY9ya/Dl/SOoTQyQJZnNJtNlhaay3VKQRBSKiUkSQlnPbk0SGkRAoQcpmEhkIIkKSGSCmrg9uYECKtRSMJ+BnL4HQuK414glUAHijgJyXNDnufLKSkvRZHoVKCEJApjfFLG+Xn2zaX4qIT1hlazjfSghCDH47xDCYUHcuswucNkOaZnWV/fTCxDFvsLKClASJT0hF5jRUiatpk+JaJcVoRJQBJqwlAjVYD3DpX3AYnLA0YrjoNth1AaHSpCKTHCgpVk/UWwGZvXnsnMg/txKmVdbZGRiiAuacJAI6UYkGaBlBqpBUo5pMgQbpFu7wccaC6wZNaizV7qtYdZW2tQK4XEiUZrCWLQUSwClPYoLZDKonyT/tJdPHTvIXbesYU4nuTsdYYztkwxMXUaOqzhiZYvLWLgmCL8IMU8FMQWxTXKDc5jCc9bQjm8Rl577WfZvftR3va2tyGl5Prrr6fRaPHe974bKU98pxyfYh1qrA7/fvnll/Nnf/Zn3H///dx888284hWv4A/+4A+44447+JM/+RP++q//mrm5OWq1Gu9+97vRWi8TyyEJe93rXsd1113Hhz/8Ya666qplB6gkSRBC8KEPfYhrr72WTZs28fnPf56DBw/yyle+kiuvvJL3vve9TE9Ps2PHDm644QZe/OIXEwTBsmj/8P8kSUiShKWlJXbs2MHNN9+8bEE63KYzzzyT3/qt3+JjH/sYV1xxBUmS0G632bhxI9dccw3j4+N885vfJMuyZY1a7/2y69bZZ59NFEX8yq/8Cn/7t3/LF77wBW688UaCIODQoUOcffbZ/Pqv//oJfw/PJ6yQwWcC/DEv1CyDQwcPMHvkCEopTll3KmPjo6AFTliEF8dZXj11WGuZn59nZmYGYyyrVq1izZrVy7IzwxTEycGgXirPOXToEIcPD7bxlFMYHx87qfpcAHhfJMM8ZP02+/cdZGFpkVJSYsOGU6iW6yAUYAds+LmVMvPH/DSK34c3+yEp98P7vMB5SdPlzOzdz9F9M7R7HQKlicOEMAwJwxDnHMZY+v3+IO3qjvMc9YMHGjACiBN0HKJlQS4E4HTR1JDnOW74uaGvsPd457DW0O/3saZIEw/nGKZ+hRcY77FJgI4jqqUK5WQcKRzGO/Lc0mq3SfOUWr2CDCxCCvAebyy5MXS6hrqa5MzpU/jRfX+NDo8yMaUJgzpSCqyHmWYXhaFSLhFqjQ4UOtBEURkhS3iXgxcYDUGQU4oESegw3rBq9SixAicsuYF++yEefnA/k+suY8PIKcw0HiKpRHjhmJ3rYDKDFCAlSCER0hOGmlI5Jo5DKmXPppGjCFml319L+egPWV/PKNU0QiuWGin9foqzA5s9IZES4khTKieEsWa0ajg1m8H1N5BLz+yhf6BsLI3ZMcqVzQTxNsamziCIx/AiGhwjYmDtbJflagbU/dgxJgoTP/l8Y4NAs9nkBz+4jd/8zf+bNWvWAIWT05VXXsnCwpuYmBg/oXGHRPN973sfv/qrv/qvmvXWr1/Ppz71qWXCJ4Rg69at3HzzzXz5y1/mkUceYc2aNfziL/7icu3eO9/5Tn7pl36JV7/61QC85S1vIYoivve973HGGWfw2te+lq985StUq1WazSZnnHEGV199NS95yUvYtGkT69ev5zOf+QyLi4s0Gg0mJib49Kc/zTXXXMPCwgI///M/T5Ik3HHHHZxzzjkAbN68mS984Qt861vfQkrJ6aefzhVXXMErX/nK5fWQUvLHf/zHvPrVr+amm26i2Wxy+umn87rXvW7Z1eqMM87g4x//OGeeeebyPjj33HP5xCc+wVlnnQXAhg0b2LlzJzfccAP3338/zjnOPPNMXv/61zM+Pr4iQP0TQPiVvfQMgMM7uPWWnXz5q//EY/t7dBtjoHJGai3OPmuCyy9/A6edvrW4gZ8EcjYsUP67v/s7du/eTaVSQSlFs9lmfHycX/iF1/OSl7x4uUPrZMA5z6233srXvvb1ZSFVYwyHDx9m06ZNXH75L3HaaaedRPLp6PVTvv7VG7jtH7+JPHiUKEvJgoDeWJ2zX/gi3njF5YxNjoHXyJMXdH1G4IkNo8XvDnxxk3cI+nnO3pkDPHLkMI92lujMLzLa7DNdq1OqlAmjggwGQVA0egyaPIZC3sYUEbzcpPTTPt1Wl729Nq2RGoEKC709LwvTOAnWGsKjC6yPS5SrZeK4VHQTBwE6UASBRkmNc8dqBovxc/K0T7fTZbbZ5GAlQJfLjNZnKVWWkMLhvMMYR5ZmdFt9tJSUKmW8FuAcPnek/T6xq3PZ2ZfSOvQvIO+nXg8oxwGBChDSY7zk2z9c4tG9i1x2Xp3p0RLlekQpiYmiCkKUwWfkWYtur0O3mzG/0OW+mZxcRbziBTViZQBHasH0LI22pdsdZ90pv8A/77qdaP4Wes2jlOKQerVCnCgCLZFIPJ4sy0mzjEAHVGsler2cR5c2cNeR01hj/olzNvcJAkmj0SJQinIpIYwKEig8WOfJ0pw8y4iSmCRJWGxkPNZ/Of1wPaOd69iyqotSnmajD0IRJTVGJ7YxOnEGtdEzCKIpigekgaijPC56vKxX8/iI8vMJhw4d4sMf/mP++3//vWVprSzL+NCHPsSHP/xHrFmz+oTHfqLrBzy5Q8i/5wbyb33uJ8GTjfXvLffjPvNk1/UnW9cft81PHOPJ5vr39sEKnhwrkcGnEcMD1hrHZ679PF/+8l4evO9FHDi4ndwmSGEJgzY/evAO7n/wGn79Pa/g537u507KvDt37uSaa65h27ZtvOENb1hWaLfWs2/fXj772Wt55JGHecc73vE4rcIT3kZr+cxnPstdd93Fm998ORdeeOHAYN3T6XS58cZvcdVVV/GWt7yFSy+99CmdvMsdaa02f/HRPyf/5+/y0oceYO3CIoHzWAEL1YT7dj/ER+67hw/87u+yYdPG59gNzRdlBsvbVMR1HJLUORaaTfbPzrLvyBEanQ7NpSZtkxOWInq+S5bnCGdQ1h6Td4HHdfjawXvDlzE5aZ7hnce12/TbKcIb1PAYCBS6VMYpSdcYQmPQ1qIGdYGIooNYCrvcTWytxbpi7MyaIn1sDaEPSI/OQdwnHi9IHN5jjSVQEi0EraUuS/NLKOURtohqOkJGahX6nRmy9CGmxkLKcUIcaYJAIZTHOEG1HGGsJc1EYWFnHcYYlMpQyuO9wdgU6w3WeVIDWQ7lsqKUREQ6QnqHto5MdjA+ppfPsdh6kHq1xswDS6ybrjFaD0kSRagVShc2dd6DsYo8i+h0U+YWGlSSMolIca0G9VFJt5vS7/aYmKhTKWuSWKK1QkgJwuEsGBOS9mPanS5Z1il0F/M2zqVUtCVLDd20T7kSUY4VcdhH2ftpzT5A42hCFG+jPHI2ldpmdDiOJUJiKWLLEj/ozn4+2ip775mamqJcLnHbbbdx2WWXIaVk586djI2NMTr61HzOj08L/7j3n2yZkymIfSLqEz/NHD+NksRTXXYFPx4rZPAZgBu/dRNf/vIedt7yepqt0/CDGifhJJmb5MH7V9FcHEVwE+vWnsrW07ac8FzDiOBnPnMtO3bsWNZoGkJrwaZNG5mcnODmm7/N6tVr+Pmff80Jzzd8Srvxxhu5++4f8j/+x+8zNTX5uPeq1QpveMMb2LRpEx//+CdYu3Yd27ZtPeE5oSAq13z6b9Hf/jaX3XUn473uMinxQDUzjDfv4we9Ph+/8ir+4M/+J5VKmefOXU0UtZkU6eLMe1rdLoeXlphdatJLM4y1EESUShJyQ9ho0220ybI+XaHQcUgmgscRwSEZHJK1InVcRAezNKfRbtPuddBJTDWMCYIYKQUOR2YteadHmqV0hKYUBQQ6RA7EoD2uaBIR7vHj2xyT52RZRrvfo93r4lxOLYooRTFxZPDKg7UYIUEWDidRydM+coi6zqgnmlIpwMuUZvojfnj/g2xZ61BRiNaCIJIEUYwSAYFNmZ4IMAjmlxzj9YwgC9DSAF2UkjjnMXlGnjnS1LHUgY5RbB0PScIIrWOEd5B3wFgSbYhCzb0P/zN9BKunE0brAZWyJA51YXOnVUEG8RhrCQKPVBo6hnY7xdgOWlty06PZ6LJ6VYV6NSBJFFEg0CoAqSkyDY5cO5QCqSKWlrr0up52Z4lWfzdT9ZR2v8lIuUqlHBNGgjAQKKkRKLy3GPsAC4fv5ej+KjLZSDJ6CZWxs6gEEWJQOegRhcj18wxD27l3v/vdfPzjn+T2229HSsnMzAxXXHEFcfzUG0hWsIKfJdQf/uEf/uHTvRLPVwghaDab/OVf/R3//J2XcnT+Ajxq0CwykCrA431Ap70K6KL093jJS3ac8JOP956/+Zu/oVqtcdpp2/nXSvlFNCmKIqrVGjfddDMvf/nLB1G8E5uv1WrxyU9+kne84+1s2bL5uKdef5wmnGB6epput8f3vvc9XvSiE99GKCQMbv7fn+RlP7iTtZ0G0g+aSAbvSyCyhtFGm5lA0Jpezenbt5/wfE87li3fju0z5wXd3HBwYZHdh2fZv7BEK82KOkohC1u1QdeAIycQEEmJ845emhIti0ADDIXAHda6Y1E7a8nzjH7ap9FqM9dYIiol1KtlSklEEEeFu0gQEipNrDROetJeB4VA62BQl1qQQe897nHj5+R5IVbd6/WZazawWlIrVyiXIsoTgtKoIggDhCyaodxg251zhHmb89aV2DAumKxLxkqSWuRxNsVimRgNSUJNEIVoXUdQByROCR6c6dFt9Bip+qKLWBQky+ZgckuaWfp9S7Od89hsn7YLuOj0CWpJglQVhJRIn5K7nMw6Fht9+t0e68cFMTnlUkQcRURhSBBKdCDQWqGlRAmJGL6ArO9Z7I/RUWfgG/ezegJGxyLKpZg4jAjDADUYI1CFQ0nR1CMRaLwXdNoZi34TXk4R2t3UqzBajokTSRgVKfpAaUItCKRESVfoNrqMVu8Itz/wKF/5/iEaCy1GS2UqpaRovDl2AP5MD/lnAiYnJ3nhCy/hkUd2E8cxL37xi/nWt77F9PQqVq+eXolQreBZg5XI4NMI7z0PPbSLPXvqHJrdAoOUi5UG4Qe1el4iEVgi9uzbwA/vuotms3XCGn3z8ws8+ugeLr30ZQybVh6PY00U09Or0Fpz7733csklF5/QNgI89NAuwjDi3HPPfUL6Y/jzsWVf+cqX89u//d9otVrU6/WffJIilFqkr4Dbv/8Dpg/Msqa5NOC7HumPCe0W8ReoZTnb9s1w9/dv4/Wvfe1TSon/x8MXjrSDmj/8QN1MuEFXp8ULhfUw12hzcH6BpV4PJyVCK2QYogDvfNEFbAr+6L0nDsqYyKOkQEhBy7U40mgUjR62hI0MMtAoWRyPwntyCi0/0+/T7PY4cHSWqFKiXK2RxAk69GgVgZR4r3C2S6Y1ZSXoWsd8s4EXipGyxdkArQNQCiFZ9i+21pDlGd1en8bSEhZHuTZKKUqQsSQIBeVEoiNFt9vGGod0BiUKnea+DiiPhNSTCCUc1gtKNqdWkiw2uvR7OZU4JDNwpNFl5kiTQ0ckS0sxWWc9i9kh9KOLYANGRzVJoJAyx2Pp5552y/PowSYHemWCUHDbQ01C1aZWanLKRMKqugILJnXYfs6mtQm1csRi3iYMJUEgBi+N1iFCFCoCxqRImeMQhDYgKgH9Kpm1VIIK5aojjtTgs6ADSaA1SgWAJPc5Iu8XTVSBJ44lURKj0lF0MIHoJFTinCCShIEkUMXnAx0iZID3BvIcRI4hI0GgcfTm2ty9sItddz3Mxg1rOOusbWzdciphoAoha++PO5+L1pInHsPPFdI4vJaNjo4wNTWJtY43vekNTEyM8alPfYrLL38zl1126ZN+ZgUreKbhmXzne85DCMGBAwdoLo5gzNigENuAL74W4YsO4iIfo0h707RbFQ4cOPDTEaXjsLCwgHNuueD5x0FKyejoCDMzB7jkkhOaDoCZmRk2bNiIUupfydY8EbVajbGxMQ4dOvTTbaMAvCxkTgQc2b+biUaLYFA3Z8XAy5WCAlsh0B6Ut4y2WvQOHCZNs2c4GSz6yL3wyzI5DoHwEmRGo5uz5/AshxYapN4SBBE6DFFBkYbUstD1s09I9Uop0UohggDhbZFiTWIWOi1mFpYYr3nizCBDjVBFGla44rM+L7qLDy3MgYN6EqFjiQwCpLeMlytMjNRptvvML/VBK3Bg44xuv8+BdoO2NUWqUhVkcBix9NbijMGkGXOdFnmeU61VCcIIrQO0FkiZ4b2j0Jp2RUezL6ojh4Zs1SiiFAtUkOKcJMwUigxnExqNHugyux5e4tGGYH52ioV9ZyI5BeEyVLyLhdJ93LnnIKc0BatqASIQeCdoNg2PLRgaPkLW66goYN4KvIF93ZQHDjeYKknO2xCTNlPCKKBaCSjFAS0lUVIM0rgSqSN0VEbpEJtneDzOW5RwaCUJtSJWKWlzgUrVEoaaQGi0lAgFWoMO4kImRlhEmmJygVddrHJIrQhCR2wNUguSAAJdWPcJVfhAB4N1EDrEmRTn+3jnUFIRCqiGEWsrIyRhDS0kzZbh1p138/3v38tpW9ZzxllbGB2tHEcInyxq+FwmQ0XH+0tf+lJGRka5+uqrWVyc501vetMKCVzBMx7P5Dvf8wJDWQ4GtULC68GNfnDZFB6PRPhC7MGLfFnC46nM+ZNem4aK+ieKIemQ8ifrTBviRHvch9lS7x1eWIzwBF4ivRuUvhcIvMdSBNSMLPToTpa5/H8YvMeIIjIIAuHACs+Ro3vZ96N/YNehBMbWUi7V0KUYr+TgRq8IdEAcRUip6KcZ3ovCok1ZhJMorZCBxjuNdK4gkXHMgWaLI01DVCohsxCpVaFn5zzWGXyW0+926XdarJ+YLNLBIkD7nMUf3stLrngz02vWsrjU4Kbv3UK4bQuZlqggIIgi5pptjjSXiEzRtex1EX30gDcGZ3LyXkqepYxFCWEUEShVpFODwuau2+1ARiEmbS1uuaml8BGuljRJHCKCCG8dqlAgxOaO2WbIP9+1AOVxkHWWDm6iol5AUomw3tNql+jlOcmEYP/iLNp10NKD0My0AzphldLYGFESECmFFAFOeoxz2LTCXLfLjT9cZNNIzqapMnEcEMYKJUQhJyM8SIFSAUFYQkYxQnSxNkWYDCkcUhYvXAthUqIwR0lfyApKN4jWamQQIcoJAo8wGbkC50EKhxYF+UzbcyzlitX1FCUkyOIcVVIhpUYFMSouY/vgjMOKDCkkEkcShkzUxtCqDErjROEM40zGAw/u4Z77HmbjxlM448xNrF07iR6mkEXh10yRdH7aTp+fJc4++yx+93d/h7/4i79gaWmJt771rctNeitYwTMRK2Twacb09GpqtT1o2SB3A0NtcUwMGK8GotCWOFigVM6Ynj4xyQLvPfV6HaUUnU6HSqXyY5d3ztFoNFi9+qlJJKxevZp/+ZfbfyIx6U6nw+LiIqtWTf2UMxWCuEMp6fE1p7JYrRTF8FjUYIlh0bsfRCskglZSozw9SRiGP/0G/gzhsQivkN5hui1m7t/F7jzlsSMzZI05fHwqpeVaQJBeIn2xjVJKgjBEK40xDiMzhCgiZwIKgVw1cPkQsuhKlRKVJOhqCeIYqQI0CikUTnjwBp9bdBQR25xQysJOTWr6s4fo3vVDuq99JZ3xSUyzgbxvF3pslGBiEiM1gVA4KYkqdYIkLlKcWjIUM3LekRuLiHJUu4VwoIRCClFEJ6XEOks/7eHz4gHA5oX1XG4tppezthYQRQIVBkhZxosU75bQRuC0Zt9CF5uMUqklZM0Aa2JEoqjUKpjU0+53sSahNFolU22q4yOsH4fFnufhPRlxdYRSqYSOFFJLpFR4HMpZrJZoWaEpNPubs5w6KVFaoLRa1lksznE/aMTJkELgbI53dlnD0Ts3qIUMqY1PYrzGe4PDgAvxToGX+Kand6CNUhIxAvhCUN0I8M4W8jBCI7UcjCnAFQ+ZbhDpddbgs3Rg7WcHWpDFeiqpCOMSSiUw1Ld2EqcUUmi63RY/enA3Dz74MFNTk1x88dmsXTtJkkQ8WUnIcw+P12Rdv349v/d7v8dVV13FX/3VX/Ge97yHarVKnucsLi4OMi+jg7rc5/SOWcGzACtk8GmE957TTtvG2lOuZ2JsH4fmxvAipKAtxQ1Xeo8XIIVh3bpHOH17mdHR0ROec3JykjVr1rBnz55lwc5/C/Pz83Q6nWVfyRPFaadto9VqsmvXLrb/mCYN7wsdwg0bNiyr2P+k8MhlMWWP4PwLL+Zzq77KgUqdde2FIoVcJFVxFMLIykNLh+xZt47Tz7/ghJtkflYQHny7zfwPbuPAF7/I3UfnqLzn3YT1cTo+wJmUsrfL9ZADKejldHCe54OoWaE/12616HQ75FlGKARJoIqoNEMxaEFYKRPGEaGQBLlB+RwpCi08o8HqAB8kiG5chHO9x+FJsxxG6tz7o10cbqWkC/N0yzGSoCAu3oH3BHFEUIoJlSR0BnJfdH37IpWfK0kWBRiXQKeH93YgdOwRrvBJdlmGl76otzWeLHdkPYPqL7F1UwmNxxf5dfzAzQQE823B0VQSTcSoWBPJABFm5FmfdqOHdX2sW6BcTYlijclr7G002XBKnUOzTXxYIkoSgkgTBgEiKKJvhaqPJceSe0GMpt2vcqCZMzVZPIJY53EOrKVomDEpJgXyHjiLsxnO2ULWxnlyK8kYIxpbR3+hRmZSvAnx1mFcTm9W8MjXf0Dn9kV8AqsvW8+mS0+lH3isExjnyYzHh6vQejWdtETuukTW4Y3HykIqh1Qg8hTncozNC+kcb3EOEBIVBgRSo1ThceysxQ5qda3LybI+cRKjgwrf+OYtlEoBF5x/Dtu3byRJwueN/eQwCzI1NcXv/M7v8PGPf5wrr7yKyy+/nC9+8YscOHAAEGzbtpV3vetdT1mKZgUreKpY6SZ+GiGEIEkS8qzBvsN3cfjAKqwZp2gkKdJHAovCMjpxD+dddAvv//U3nHCkbti1OTY2xg033MCqVdNP4qFZ3Cj7/ZTvfncnl132cs4777wTfqIfGqj3ej1uuOEb7Nix49+MwD322GN8+tPX8La3vY3Vq6d/unmW/ylS7JNj49w9s4/5uaNMzc0T2YJAyAFtBEil5L5Np/DQBefz7g+8/2mSgxhacIhBOs0P6gCHDhDF76nJuffr32DP//tRmt/6Ku2D86Tbzia68CKsilBe0+v3CMO4EG7WAULJgSVWsb3OOdqtNnv37ilqVRsNsizFGYPwDiUoomqmEDzudbsESKoWxi1MCcWY1tS1pC4EFeuIMoswBYFzWUYch2gl6fVSJjetZ2R8qqj/UwI3OUqnVMZKickymr0uMtCUPYwYx6SHCaUYlZq6UFS8J8otYZ4XxMPkRFqjh40sEjK5REaz6GrOcvLUkvZSTKvFxnHYNCkIZbEfJR7rMvI8I+9b7t/bYYEypUqVMIwpVRTlxDF7sEe7m9PPFqlPHmbTOU10UETn2t0uo5Uyuw+liLhGXIpRsSIIFWEUEkRFPSNC4YQr5rUWa6HT7rBxIiRUgiMH5lFy4LksRKEJ6XOszQtiaHMyY8hzR55aFjrQ4AX4yhnkzRkqapYkcIjIYrqS+695APcvLabUCOV+zJH796HXlxCTEtO3dPuGuXZAL3kxJKfiuo9SC+eJFSgFbqDz6F2Os2Yg55NhTU6W52SpoNMdI3MbiaOEJIoIghAYyGB5V9Ti2uJwXlg4Sr+fkpRqLC52mNk/izGOarVSpPeLo3twDjz7yeE999w78BE+Fxhea4vSmDiOueiii3jkkd1ce+1n2b59O+9617vYsWMH999/P/fccy87dpVTw9wAACAASURBVAyLsp/9+2IFz06skMGnGULAti2baSz+iNTdSbftSbtlhHAIDGFwlPUbb+GCS3by9re+iEtf9tITvl4ce1qdJAhCvvGN64miiFqttqwl573gyJEj3HrrTrZs2cLb3/724+RFTnzOrVu38NBDD3H99V9n9erVjI+PL0cIsixn586dfPKT/5vXvOY1vOxl/+nEJjvOHUEqyZlnncVNux9lv5CU2l20SwFIteZoqcrt27dzzwUX8d7/+jusO3Xt4zqcf7bwy6UBxfqLopnIO3q9RfbPL7JrZpbDB/Zz5JHHmEfQPf1Mqq99NfnoaHFTFY5Op42SAh1GSCUHdWnF9njvWVpcZN+ePWRpShzHJKUScVIiimK0EpgsW9YM7Hc79JotRoOQqXKF0SShnMTESUwUxsRhSBJEJEoT48EYup02YRDgPSwcmWP19DSVWoX6SB3pBf3c0en3EEKQ9vr0Ol3qSjMZxUwkJcqlhFISE0cRcRQShyGlQJMAMs8waYoAdFAQXYQn9Q1y08TkBpNa+p0+vVaLcdFm+ypJqAt7NnxhdWdsm8wY2l3BAzMd0rBGWIoIIkEQBoyukqzdYBlf1Wf1pgXWn9FClbpYUqxx5H2DRHK0awjKJYIoKDqBA00UJZRLVbQOi6ietTjvcMZhjKDf77B2RBIGmr17+mil0KqoF3bS4rwEUyyfG0dqHb1UstSO2NccZ9G9gK6JsCain86SxBCLkD2PzTF361HWpGVGplcRBgH9Rof+KZpkXZU0VRxsRRxobqUjN9HLQmwOzsyShKC0L643ToNzWOcwJsdaR248aQaNNGShO46Qm4jihHK5TBgGWGew1oP1ZN7iTM780jyNxUXGxsZIShWiMEGqkFazx8zMUfr9jKQUEwZ6WWQbns2dtuJfkcHls3lACpVSrFo1xXe/+10++MEPUiqVSJKEjRs38sUvXscrXvFywjBYHm8FK/hZYyVN/AyAjkJ+4wPv4dQN3+Cb3/wnZmZupdkaQQnLyOgCm7doLv/lX+CSi88fSKOc+MVieMF9zWtexdTUBNdddx133303IyNF7UqjsYTWmv/8n1/Ba17zGoJAczLkIIIg5P3v/w2uv/56PvnJTxIEAWvWrMFax759eymXy7zjHW/j4osvPmmppPrYKL/94T/iS5/7HP/frd8lmj1KtdenGyqaY+NMn3cev/lfrmDDpvUIK+HkOe/9xCjqF4tvVPgirYvok7cPseu+r3DfvllWnfVfkEGVyQtfxNTZ52PzPlkUYb0ktIZMS3QYEsYlOmmfMOsTaIURcjk6sbS0yNzsUeI4Ik4SgiBAKV3UBgI29fRaTWyek3Y69JYaTFVrjNZHSJKEcGBFpwYdyX4gbBxaR5DlRFKjM0un2yfPcrr9DrnNsSYn7XfJTI5xBmMNru/pd7rUpGaqUqNcKizplC6aXQTymOh04IouVx0QoFjoNOl3u4UuodMstRp0/RzIglTFUYwOArKuo7NkiYXE+wyTg5Qh+Jy+ETS6ll7fI2OJxC5HzaUImVyrWL8potOGdr9HagaVldLhpKKVgvGyIFDCDfx7BVIKwjDAGLM8HsLihSwkf4yn2UqJVcS9iztImhmbJvZxSnWBJPN4nZGjMAPbvqVOlR8dWsWR9joyKrhA40QX6cbo21eycGie1fEM3aNNXKlCc8kSzR7EekmLkFIyyb75cR6enWQ+XYuVY7iOAVpk+TravZcz05pj/dgBtozNUklShPaFJZ7zGG/pZBUem68xM78OJdeytl4cL0Idk4wRYlDKQvFa7LWLbucwLORutEJqjQ41YRRw9GiP/fvupdOe5dKf28HERH3wsKmWz4rnIiH6t+3YiodQ70+mD/wKVvDTYYUMPkMQBJI3/uIvcNmll/Loo7v5++u+zPSqVbzqVW9j/fpTSJJkwBaeOhEc3qguuuhCzj77bPbs2cO3vvVPHDhwgPe9731s3rz5hKVrnmzOYfdyEGje+MY3cNlll7F796Ncd90XmZ6e5oMf/CDr168nSZKTQgSXtxOo1+q869fex+yb3sQjD+zis9dey6te8youuPACptetIZC6iEzIp+MG5AZUUA7q/Dx5bw/7Hvw6e+77OofneyTb3o7NJSrW5MLSXZin3+lAGFEaHUGGCiEVUioq5QqdToder49WAV4UN9d+r8vs4SOUk4S4VCaMQtSQ2MlCjqefdkl7fUy/R3NhgVIQMFqpUokjwihE6+FnCoKJ9zhfOGUUTSfg3Qj5/BytTpd+t8fs7ByRDkjTjNwYFhoNMjzdrINwjun6WCGaHIUEYUFO5ZBsDponjlnhFSl0k6e0Gi2Ec9hSTFgKCJIqOtIkpYI0ZtbQm3c8fOQIuS8xmiviUBVcw+akuafdUcSqTmZznI/AiaIz1vfptkN23Wk4uCfCM8boasnkWgc2RVjLSBwy18iLpoth5/qgJrPdbi/7Njvn8FbincH7jMCX6HcUDefQle20+yUeOHwqC60H2DgxQyVsIoQld2X2LUzyyNGtdNV6ZKWK1nEh/4MGYTGujDNTHEnX0sorTJ15iD32XhoLTazW+DO3clRs5fCBddjgVFQtIdDBQAhb432O8SG9fDUPNqY50n6U0yb3M1leQIoc7xTzWY1dhzezYDZBNMGoCrHOLG+nEKLYTmsx3uCtxTpDJqCkAvQgBa5kIYQdBiHlUgUohM0ffHCe//W//oZLLj6PSy45n7HxUYTwHNM/HbY3PfshhGBqaoq1a9fx1a9+lVe96lUYY/ja177G1q1bKZfLwJP7765gBT8LrJDBZwAGojE4AdWRKi84/zy+8+1b2Lp1M6edvg2wA62VYV3ZybpYFPV827dvZ8+evWRZxvnnn3+Sxj5ulsdd3AT1ep3zzz+P73znFrZt2/q4ppKTeSFc3lNCMblqipFajc//ny9y7oUXsG7D+qJiyQ10+07arD/N+hUpYeE9zsxy4KH/w94HvkarcYBObwRXuoy0U2L+oQeIx8fpp21kLyUKA0yvzdzSIqMbNxZ1mQjCKKYfRSwtNdBiIONhLUtLS0RBQFwq5FuCICyiNYPuYQH0HLQaTdJmE5v1GRmbII6jIroThGgdoLQqCORg/Z33g3QtaDyxjamVyywsLiKk4tH9M7T6KZVSiTTNyKwhjCLSXo9VE5PESVzU2IXBQDdQF9Z0x6W2h2k2nMX7mHK5zFKrTavRRGd9JlbHjKxdXXS3eouxFm9AjEzQzHJuf3SeU0clE2WN0hnWWOZaGVNrX8pp29fxvUd2YnOwOUUNonc8+pBj3z0TxHoN4Nl/dB8+20NlookzOSPVOhwy5JlF5x6pHEYaAKwpiuaMsVhjccbhjSTPDGsmtlFfNc3d9/wDqlwlDkqkZh2P9Sq0DyRsqt+DFoqZ5iR72mfiyqdQiiqEutD+k8oiZCGnUxBljwlj8iMHqG6sM7LtdPRSi6AckY+M0ljMIDmVOB5BBQotgqKGVFi8j7AuIdIZaRCz0FvFHftG2DZ5J+N6gWZe46HmVvrqTKLyKDqMgQyT9slEYfcIAmvNwJfakBtD22RkiqJRB5bF0YtKiIGvkigI/qYtp/HwLs+tt97BD277IedfeA7/6WU7qNcqxdkxrAF+jhDCKIr4tV/7Na6++mo++tGP4pwjSRKMybnzzjsHtdnPjW1dwbMPK2TwGQGBRw1IoSj4HnBM985z7I+FhMpTv0A+HRedn+2cw9vIkOwVYs0OiYVBZzHiWJ3hz3qXCA/ONtj/8Dd47K7P0W/vpp87lnp1qL6I0TUXU4pjrPN0Wy3qUUgyVkVHAVk/RSy1aR0+RH16mlX1KuvGxjg0Nco3v3MrC/Pz1G2OUposzaiPjqDDED1I92qtUUMyKArvYq80aZoyUa0VDQJhWLiOKPX4z6hCe9Iaj7CFALVwHhsEVEsl1q9bR8dbHty7h0ebi4hWk3Dw3mnT04heShJoojAsxtQhKghQsphHymNp4iEZtD5EeU8pKjFaG6E0Wmfm6CFSkxElFZAUjTC5wZMjYk8+Oo7pZPTaLRZ6DVQcUgqLGr/7f3QPF168De1C8r5BBx4pwXQD9tyXUFHrqI2NgFc0Gp6De/cyqbt4JHftmSWXCVmrizMWMVoFoXHWIaVZXndjLVluyft9XF+x4dStPPLI91HKEsUxNi8jtEaICkttzR37c0y/RR6fRljfSFKqEQYRKlQoEVLw+4F8kndI6wuZmiCh1T1Kdc0qKhMTOKfo9pqkKiZJRpBRhArionZNiEE3tkObEKcilE7RMiWVm7n3cJ8424/Vp+BqZ5IkE+gkRAaCoOvIs6yYW2iEAOuKyKDNUvr9Hou2j4k13Z6h6yzaOZR3SJcjjcR1inPR5BYpQjZs3EylnNDrtnh0zxFmj/4jLzh3O2edtZU4Co677j03sHbtav7oj/4fjhw5glKK8fFxdu7cySc+8Sl27Hghl1/+y/+u5NcKVvAfgRUy+AyBWPaWpXCWEIAY9r0e/zU9DYVtz1IMSrmOkWwk0itAFa4doiDZ4mRGXP2xZhCG1Z3LrHSwiCiiWHv33M0Pv/Mx0sU7ESi6aj1ZsJ5eMMFkZRtJXKE+UqWXdVi9ei2nrjuFZrvB0cU5vLWoQJDnPWyWMjo2yli9iifl1LrhyNz99HoSWdpCOLKOQCuU1EhVELohwVOqSBXLJGbWZjg8a5OEQA1EiKVGqWOEMAxDlCr0/XKKaJhzDmEtQmsirclwHO71iFdPk6gQMSgvy61j19ICq5HUSvWC/AmNEoW2YTF+EYH0DvI8XyZWSkgCKdFSEgYBuw4fpBsIRktVSlEZpQX9rIfzfbRzGGVQgaBSDzl7wxpqsUMoD86RZo7JUUv70O1cuOU8bnv4e6AGqeI8xWU5QaWLFjGZ04h4gYk1Taq1CBGUkBIiL3AmJ+33mJ9doD5ao5SECFm43UhjMbkjz3I6nR4bJ86i5BaYrO5ndMMY98wH9EWAtiDJ6fsxWvYCOtkS9dIkYVRGBxEqjAptQqUQMhxETS3eO7SyWCMYn1jNwu7dhMLRH6njvaff6iDDVahAIYK46C6XopAFGkgDCWnA5UgToIXDuwomPp15t5pyeYQkGUPHCh2ESC2xtsXiwjzVchkVhUWXuPPkNqef9jnYXeSQ6dIWjq60LLaOEPYWGYkT1tYnmBI1ImOLVLfNSPsdZudmSJRldCQiR2GV5oFdM+zZM8uZZ21h85ZpAq0Gp8/wQdkPqmXE4zqSny0xRKUUa9asWf790ksvZfv2M7jmmk/zoQ/9AVdccQUXXnjhcnnEsVKbY1v37zk5nTiKvVj4NsFzLDi7gh+DFTL4TIGA4308B4myp2ddniM4dv06tl+LqMjwTfGkSz8VeHGsGWQ4rBfHLq8WmG93uffhh9m16x6EWUdblojK64lGthAkVVyrTWqyQg8wdaT9jHA8pFwqYUxGp9Gm2+nR6ecQRyw1Wvyo2ya3GUuH/gU59/dssHMYBEdNQKA2oqRGqEJcUYhChFprTRRFKKVIkgrhSA3b7aFVEZ0TA1u4YXROSkkYhsRxTJZlONt9XPROCQlKgNRQKhOHUM49oRBYPJ04xBiL6lv8sHllOPag4zKMgoHckl2uGSzGL0SwhRJoKZE6IKyV0ZEgCEKiUJG5tHDUGOx4LwvB5TgJqJcLFw/nBak1hFoxO3uQmtrGuadeyB17b8dWDFrD9q05LzqzRjfP+cH9DxBO76Y21SSMImRokYQDkqoJ44C0l7K40CAvFw4pVnhE7sjyort5Q2UrF23YyOzMP3LKlEeVSgTNECuK+kjjIAhjkqSOcJIwSQqB8GHTjlYoFSClpuj3ETgnsM4ChiSOGF2zGmXbNBstojBgZKTOnBGF3VwQEUqBUAqpAFGQbStAOFFocHog9ISxweEJk6JbWAUBwaABRCURNo5oNZYIkhgtFN5aGjZjb2uOhs+xpYggipFSY5H0nKNjexw4/CirowpnTJ1KLDU+zzl08DFWuTbRA3fCwgJ6dBx79gWIVVsxPuS+Ox/l4Yf3cu5Zmznl1CmkckVpBQKxXDt97Lx9NmdYV62a4r/9t//KLbfs5HOf+zzf+c4tvPnNv8z69eux1nLPPfdw5513EQQBL3zhC9m6dct/TEp54HteXMPcsSfqnwrP4i/ieYwVMriCFZxEiON/8Mf96CVdk/HI4SM8dvgo7XYPp0fR4y8irveJSyMESUQYKkqlMosze2m0GrjMkpqMHz30AP08Z2GpwYGjc2S5IcXjjQbbpWUMhxZ/iG/fz0gSUSMCkbGkNF57nHSFI4kb+NEOyF0QBERRRBhFhFGCj5PCE5tj63+8jeCyK8YT/gYUtY8CJJJEC8rWsLZSJQkDbG440GvTkLKwYHvCDWN4Yzt+7OPnOl5EW+LROsDFJZB9ummX3EKeZwNnDYd24BwoaakmAUkESkqMd0jXR3jH6HjO3Pzt1MZewuLsEuFSTrlU45LTXsj2TSMYa1jKGxz2s+hSSBCCUlFBTHFY6wbkzJNYS2OpR6wNghyfO1rtHu2u4YJLxmks3UcpblAqlVCxQGuJQuOxeF3YAOogRIcxUodIFRbkTxWRWa01WqnBfApjwTmF9BBGJTIrWTuxilKSAJ5Wt4vzmlDHCKVQmiLSq4t4mvMCITzGFP7IOI9TprATdLaoKx3MLQeR5DAIEUlC6hyNdpOezWnnfeZsn24pICxVCxtDHSCEGh74OG/JTMahbp905hFOH5um12yTd+bggXso5x3GTttKd26Jme99n+DVq9FjVZCSZtdw07fvoj4Rc/ElZ7NmfLxQChKFu8qQExb/DUtono3waK257LJLOe+8c7n++uv5yEc+wjnnnEO5XOW2227jvPPOo93ucuWVV/HWt/4qL3rRjpNOCIdEsIi+DrROGVpg/oR4eqpuVvAUsUIGV7CCkwkPCHeseH4gk3Jgscnuo0dp9nN8LpHOYFyKtYZKvUQShwRhhNQhKgkJNkQsHt5HqzWPEBqvFQfuu4d+lhOVS8TVCkkYIYIACShbFPNnyQtZ6m4g69/FpHiAwICzRRTICo/G4f2xmjxrLVmWYYRHRyE2ickzh3N+uVHhics655Z/t/aYbZr14K3H+QzRzZiq1xivVCjHMX2TkgJpp1NY2VkzIG7+ceNlWVb8zfK4sQtbtsKaLfcewgAVheB79NMeaeZwzmCMxThD6vuY3FOVUE4UKtFIGRO6DNEHrzLCCPp+nkfu+xobpgRRnmPtEv2lGZr9OYy1GNFCRR4dCgIdEgRFWt15h7SmkLjxntiEmG5Od/YQqyqeUhQyVjLYesAj+75DowRnblBFpC0cpOidxElfpANl0dCj9KCjemgNOHgVZEwRaIH1IA1gcqyV+Oo4S7LK/vkWE5Uci2exq4km1iJUROEsqAgCTRgKJJAPxKG9L9L8hb1fMbdUAUKqwatI4UulCjIaRBBZdN5jbmmRvZ1FgrER4koFFUUoXUQwUUNZI4eyDi0VOZLZbg97ZB+TPY9uLuIW5tn0f32QyQsuID16iMWPXonvdAimJBkKjQGtmTmwyJ1fu5Gztm/gNRedRyXSSNzgfJMD4Wv5rGUgx5O6sbEx3v72t3PZZZfxla98jZtuuokPfOADbN60BRBs3rSZL33py1x00YWPE/B/4gNat9uj2WwyPj5GGEYMU87/FoyxzM/NE0UBtVp1YDspjolYDD/qi/FbrRbdbpeJyQl08ZRxrFnoWfo9PJ+xQgZXsIKTCD/MDw+szxZ7ffYdnWOh0yN1BucMzjXxnQcIF+8mNm30koOoihg5lWjqXGR5HcHoKMnoGN6meAvdNKV3aIZqpUZSKhdpRB0MhKUluZA4lxKaCnlcp9udYN//z96bxlh2nnd+v3c959ytqrq6emEvbJKiJIqUSUkWSUu2xZE8guPYiW0YGdtKNEicMZD5MPYAGSQI4A+BY2CcOOMYjmM7wGgCjC1vcQx5ZixrAW1JtiVrIymKi9ji2lt1Vdd2t7O8Wz68t6qbImVTCUWJVD9Aobuqbp3tnnPu/zzPf5meZO6h8BHjBZgMuq4Fd3Vd54zftqZKAj/o01zZWRg0O1TQB/Yu+9ylfS7fPhi89qtznrrrGG9doRgVxCcepxvPcEs9qiNHkErRqZB9B0N4HhDM/oVZmZqiOFCphhDycfMO7yPz4DDDPgWJ5BxN0yBEhBRz7rJPuEYSZmPOHO9hNCjZR4qKKCdo2SFlwIfI1taEm1d7rBxSDM0Szgkee/Qv+ItPXKDt9wkjjzYarSJWm5wyok0GnF1LShB8RBkoCjh6os+dpy1WRkSCzjl2Ji2Xt1vmzZC1kTgAftnWJ+ZR+SJrWSy8IcX+z8jvr1KSwiqqSuA9zOuUo+xIRFWweuMdbF18kifWLyCtZeXIGVT/GAiJEiCkQmtFrxQoCXWT1chBZn9EcU3es1BysS1XtyNvgwJlMMYwsBVaKIqqhykrrC3R2iJ1BrRIiUIQUyKoSPQSsyBL7NZbHDYlXlTsVRXlyZP0hgNEOoY6dZLq2HFc0cMEjxCRWntKral3tvj3DzzIAxcu8KNv/27eetNpbAQh48LL8VWLBV+0Tp48yXvf+w95/PHHOXPmDPsJRbe87hbqD9U8+OBD3H77m+j1es+zDQsh8Ed/9H/z0Y9+DCEE1lre//73c++993zddX31q0/yW7/121zZ2iLFwFvf9hb+q5/5Jwx6PRAOIfSBrVndNPxf/+bf8Ld/+7coqRgtjfjZn/1Z3vjGNy7YN9dbg6/Gug4Gr9f1ehlLJEEUgjoELmxtsz6e0ETwCzDD+CvMnvoP6MkjHFdzrHb5nlkLupliuv5xzLF3sHzzDxLtSYKRuLpha/Myxlj6/QGmLFHWZCGIuMrrk0HgTEDqEiVWqcVbcH6dFGpK1yeYEqk8IVwdpe0DvTCZ0V2+ApXCpUDbtgs+oXkeENznCO7/7T6Q894Tuo7GtcwRxNrRfPIzDB57HBUDSEn7htsIb3sLzpY0jaMqHE67542IY8zgIyWRM3v3O4a+wzuH6zytj8TOEaYzOjujq1qEjDmrOCS6zlFPZrR1y8bU8IlHp/T6cHo5srYsEMLhk2E+mXLDiuXIIYsdaAqVhRSDew/zqYfPsccyPTNEiBKFQSqBLSyDYkDjWrwPCOEz91HqLEJJU1aGBqMTKQpiUJRloNSRbtbgkqUI6SDHOe2P3xZE1qsdlf186MV5dTAoz68RIhFQJOEQKRJ0Se/Y67DDI7nz2+vhVMAKAUkvbF1y5vlCRH9AbL3aUXphPFxK4sAfZp9aIJRGS0VV9TARVFFmVbRWSKPRJp+bUkhiiHjv6cgjfhMtUVVoJMXSUc6ZHn/78Y/zxnrGzvlLjItVjt9wIzt1wKmGEARRSKQQlEiMNlxxkQ9+7gG+dGGd/+jO2zkxGixC8Z6/7a+FWllZJsbA+fPnufHGGwF49tln8N7z+7//B+zt7TIaDTl+/DhHjhxhdXWV7e0dHnjgQX7+53+eo0eP8uijj/KBD3yAtbXDnDp18kBAtn/dTaczfv3X/3fuvfde7rvv3bSzKR/44L/lj37n9/jpf/yTNJ/7AuG58+yfH4994fPoL32J/+Hd72EwHPLA5z/PZ/75z3PoJ/9Rdiw4fYald76TfKK92Fl1vb4d6zoY/Lao/Rv9K8l3+VZcos/TqL0C9XId16vcmWuFPXHxnUxxkRwiScFzaTLhq1d2aV0gsBiDBke38UXqx36HFXmRst9SarMYEeYlxRBp/UVmFz/E1s5ZDt/9z1DFaTbWnySmwGCwjClL7MKS5cAnUAgSiagkJgakiIuJjcR7z3Q2o3NTtLcIVSKkyx0l0oHPoBaClV5J08zpfGAyrylsgRL6YPkqalQIV30AYyTGgHOeru2o25q9yR4iKm7oV9i/epRj0jA4ehS3s03zxFcY3HoTO8NVxl1HYW3uNi2sTkiJGCRJiuz/mNJi9OsJbUftWnbnE7qmptSSoiopw5gwnYAMiGCYBs9s0kEKFP0em51iy0GcdTx68RIDHXnzqYKimbO3V3PkcEVvZOhZgy4EQmhsgGrQEJqESCCTI1Issncdzjui99lsenEkZSIDPBmpqpJCCZL0eC+R0iEo2Npq2Ntz0OWuZEwBUiDF3NVMMRHjIp4tJlLKquGUIiEkWhcJKSt4OxchBkKCmAJx8TeBrEBNKUHMXpCRDKqdF8zrnOnsfCT4vM4MSsPiK5F8QuhESp6EJkWIISyoAxlSJiEwQlEog79mpK2Vyp6W1iCVwnWBVggiixG/liAFwQkGhw8zfdPb+Mwjz/K5R8+ztHaEt3/vP2DqIzH4LHJJPm9fACdFNlgXCq8Mj27tsvHpz/O9r7+Zt58+QV/lc14u9l8sgO+ruQ4fPsx9972LD3zgX3P33ffQdR2f//zneN/7fop77rmH6XTK+vo6ly5dYnPzCk899QwPP/wwP/zDP8zJkycBuPPOO/nc5z7Hv/yXv4y1dvEwIQ660CEElFK8973vBSEoihX+kx/+EX7tX/0rHnrgC7zjU5/gjU+cPVBuj4B7ETSf+CQNglMkTgGX7/8LAMxP/ARL7/zeg314lb8F3zF1HQx+29SLAZZvtpr4lb5MX0kg+HKu70Cfes0yEzJGEJIgJBJHnG1y7pEHeVyt4XWJSBIvAiIm/O7T7J79PVbVc/QrQWUNRmmkyl2emBJRC5RKKOmZ1I+w8+jvMXrDf8l4NqfsD7G2xHyNT2AGU+Ka0a9E4ElREwuHrQpsHamnEaub7FAp7AH/Ln8gAClRVSVGCRoEzWTK3nQKAqII2GTQSuNV5pClfRASAr5zzNuO7b0xrvMMl4a48S7RJ6SJSBJOAknQLwpir2AeasbjCUYqRMrb4k1ASZUdNxcJJyE6nHO0dcd0PmPeNFT9HuWgj7GaJe0YqR2U6NhpCi7vRExZUg2HC5uaPPJMsXbxeAAAIABJREFUKeGDZ950/O1TU0btNrccNtiyxFhNYQ2qKJDCkkLHcm/KU5Os6A7BIFON95G2ljg/QYRAcB3JR/BZTOKdZ9RXVKXFaklKBV50i5F3olcFvrpec7HdoVoJeUwbBCkIYkjE0BFCQwyWGHKqSQqJIBIIDyS8y/F3IeQMY4KH4EghZb5mCFk54wNoT5KZl+jFvg1Q1uPGlBbG2JEUAimGvA0xEJkRoyLGgIyBKDwkhYspd3lDNveuk8NpQIoDVbgWklIalooetrDsMacLHoJApoR0nlp4LoaA6wrKEyc4ecMJ+qbgyNJhgqro6hbvfPaN9DnSsAuOeXREZXPaDQkpJPMo+PQz59me1dxz4ymODyrSImM8if1HwVf3zPLHf/zHOX36NF/4QlYT/9N/+t9w++23I4SgqirW1tZ485vfDOT395d/+X9+Hn8Q8oPVffe9i+///u+7hn6RSCny9NPP8Od//ueklJALmy0ZoahK/vl//9+xlQSzpmHhw0A7mSG1xhTF/sKZTyZUowFCSoaHV8nv0P5983q9Guo6GPy2qG/F5fKdss6Xq/a7jNnvbMFbz52j2FJf/Crj5x5nY3uH9vAqIXYIJKRAjC1bX/kTVronGQ6hKASlsgjDIrJLLYCPR8mFlUpq2bn8V1wKR8B+F4VVaJ0OAOC1RtD7I9wQwkHnMuiEjhZtHbqas7e7i7CePksUJIzJObv72cTEiLUWubDecd6zsbtLSJGlGAm2QBuN2B8vJfApEp0jNB1b8wmbkzGjpSFlr6AbDbkwHLG6O2Z+8SJNgp1jx5DHj1EmSwye3e1dwh6shhFVEVBWI7RGLo5vNm52+K5jMq/Z2tvDVAVFv4exlsJqysJyZq0gecnTl/YwxXF6I0vRy9w2eSBkAJ0MXlvm2rLtAidISCXRCpQ2aD1ACANScvxwRXp2D9/16GxAOIFInhRbCKBiIniP9xHnF127Zs6pG/tYbVC6yFmzCbrYoaQiSMP5qaTpHUYHQfSJGDwhtvjY4nxH6AJeOWT0i+6oQMesGk+LEX1uQiZ8ioQYiDGQvCP6Du9qIgkdSpQPCNVlwCkkKTlClLnTRh7zhxRxMRBiwgfwLuHahFI1IkpE0EQMMQS64NDRE52jcx2zrgWtsHERDc0CwJPwxMXoNiKJpLZhvL1NN5+jpGA8NExTjZrO0RGODpYQwbPUtegkspm17/De0bmGSTOj6TqIFSpEZIqEFHAx0QTJ2d0pz+4+yh1rq3zPLafpa7FYt+LVTiZUSnHvvfdyzz33sP8gun/Nf21JKbjnnrfzoQ/9O86cOcOJEyd46KGHOHv2LD/90z/FyZMnXiAiOXXqFB/96Ef58Ic/zHv+4Xupx7v8yb/7U+75nu/hxjOnufHX/1dE+F/YfxD+yAd/n4e//GX+0fv/MUvLS/z1Jz7B5/7qU/yL/+kXKUdLCKVe+ef+6/X/u66DwVewPvnJT3Lp0vrf86p8BZ0/f566rplMps/7ea4XPvW95z3vYW3t8PN+dv78ef7mb/6Gv/+qFDz11FNsbm7yB3/why9lV7jppjPcfffdL9iOBx54gLNnv/r3rg/yPjZNVrz9na8WeQJ39913c9NNZ17w+w9/+MOMx5O/d53ee+bzOR/96Edfcvbyj/zID9Pr9Q62OS1Mb8XCALcdX+Tyl/4Sv7fDxTTkcnE0p4Mol1laMVLvPYXaeYjessRqSSEVQguUsRjVQ0pDShEf5khX506i1fS6hu31T1OceTNCaaRQz1OXaq0POoVxkY2bO2oxiwKkpBCaVheIdpPu0kVYvZUwGGEWEXBykU2sUsIYDUR8jNhejzib8tUrmyw7R1VVaGMQOnciZQIXA6nzzKdTJrMx/aqP6pVorVk9cZqLb3srn3/4ywzmNW7UZ+0HfwDVX0Y0nrYqEb0eF8ZjNuua5eEQWVrQCrGfshEy2Ozqhu3JHkVRsNarUNagjcEYxU7tqSnY3KnZdBX9QwVFaTBFBoNKaeQBWPYHtjbT/grnplc4dc1JtnCwI5E4sdpnWW8yHbckbRCiIEWHD/nYypjwMdH57APZTWsqP+XUkVXykgqE8CSRkCkSkZybRFo7YlBZkmsJPhG9JzhPbDx+7mnmNVILlJNI0cOkRNQeHxNBZu4cQEwRoiN5iB6863DdnLaeIxIEVeClJglFIiBTTRJmIUpZqIhTJAUP3hFdR3Azum5MO5+jxApKBBQOb7KAJLiO5Fpc27Az3WV7tkfqraCiRxLxeb5NExzME6pt8J1jur3D5vo6yhqq0QAlDd4IdMyg2kXH+WaPjXM7vH71Bk5US0gf6WLAtQ3z2ZS9yZhOuPwepAAhIWXES0fT5fE9RD6yscH9n/8s73vX93H7yeNXbY9epcjkWuB29f/iBb/br9wBvI+trR1+4zd+g67rWFpa4md/9p98DRC82i0dDPr83M/9M377t/9PPvrRj6Nk5O67v4f//Cd/MtNKTQn2Kq3oXe/7Kc7929/hF37tV4nBc+zYUf7rf/HfUh09es2GP++f6/UqqOtg8BWqlBKf/vRneOihL73kv7l06RIPP/zwS/KSuuuuu54HBoUQXLp0iQ996E/5Ri7J/Pq/u/ZvOF8LBoUQPPTQQ3zsYx9/SetMKS328csvadtuuOGGF4DBlBL3338/Fy5ceknLAPjLv/zES37tD/zAe+j1KnLfI3uzkQLJOS4//kUuP3I/IiU27RpbS6uYpWPMtncQgEoRB0zPfYljyqEMSJV5etIojB5i7BJG94ihQ3SCFAM6dCgN2kR69SZNnCDEccTicv1aE+iqqui67nmqX7EwgBZColRiUCji9Czz+RoBibaLzplUCAGl1vSsJgaHlgqtNLooaJxjSyasTCi5PxHMgCkBTiYanfAJlq3FSI2SkrKw3PzOdzC7442IBKPRMqbXw3WOxgS0F1hjaLRkogVzxcICJWfspIXPWZR5xNwZjTUao002nZYSqTSBkvPbjovrHbK3jNWgtchGzVpjbYGWasFtJKMgJbGFYa9VjBsYlNB5h1AzpOgIsUPS8ZZbhnzqS5t0UiFjIhYKqQuUyDw7FyO+87hZQ9zd4E03lRjh6ELCoEjJ04UO7wIzJ9mYgq4KtEl08wbvJS5EfFfjuyvE7jyxuYiXt6JEHod2IqIpiGkhyJCLzl7KPEAfW4J3hLYlzjeQ7Tm6IHH2NCiFlgEhLCJogkyLTrC4ykX0kRAWHcW6JU4vo9x5XHMKaY4TdX70UUkh2w43nzObT7Ni2EVE5xHaI5VDCEkUApcEwgWEgPF4j62Ny1RlgS5LRFGg0Si9gGcxoKMCpfHa8dj2Rfyw46jqZfpBM2dne5vl4ZBZA00dsHQQFgAfcDESpKRLnt3NDRKJ/+MvPsW7bruNH7rzTQyMfNWCwW+09j8rfuInfpwf+qEfZDabs7S0hLXma1/5vO/OnLmRX/zF/5G93TGmUAz6Q5RcjNu/ZsxuC8t33fVdLK0scdub3sTrb70Vo/VCbPwiw+FX95T+O6aug8FXsDI36+tcFV8ng/NFgeALlvHCnvzzjIFfbJ1fL/PzJWxf3qYX/v3VyCTxkta5P2580TvFN5pJ+o0c15f02hfZP4AYmO+s88SnP0p98TFKDTt2jd3eUYrRYXqVphuMiFIgCQTv2JuvI02HSpk3lWRAUGJkRVEs0++v0jR7xNjgXE2UDuU1moCSc/C7JDwhOXSU2Rduf5tS5om9wKA5gYjgJHgUTRoxOPI99IfHsUV1kEu8LwbRgIxuoTrN74hEUfYHmEEPaS1a5eg4wcLsN0ZE8shC45qAPPidIMhAZUtWb7qVQb9H13WMJ2OCiIgkEMmgkkBbi1kaYYsKo8xBlzIueJQ+FmALhJbILiATB7wmpCDKinObLXvjhDoukcqSZAa5WhuqoqIsStquzakdEpL2KAUdJVf25hwuF93D6BByke7RdRwbCc6sSR69cAXXLmMGBdr63J1LEecDrm7odnd53WHLqVVN1zYLT8eWlAQuero2sjf31A7MMBG0oe48yc2Q3SVG7kn66RkGh3ZgqWUe15nGG5g3Z/DxRoIeLmxdMiDMypBIiAncHO2eZRCeZFheYDic4Fxinp5i3J2kiWdw/iTe9NHCgdp/70QWnARHcttY9zTL4hmGK5cY6Dlz/1XmcY3Z/CacuZXOHiLUM9q9XXq9kp4sOF0tE0OB7jTeO1yXcJXFFQmvNbGp2bx8GVsaVFWibInSeqFGlkggpMxTTCKQhKNF8OTOBskMENOG8XzKYDCgpy23jNYQxqCFpGsjs9ox1Y7Z0NJaTbM7IThPNRgQtOWvn36Wjd0d/tO77uT06vI31fsuxkzTaNv2m7eSb7CUUiwtjUgp0bYd8PX9//JnhWA4HJAEON+RWaoSCFmMs/9a4I7bb+fsE2f5tf/t17j11lv53ne+k9vvuJ3RcMi+ivg6/nt11XUw+ArUPkhaXV3lxMkb/v4/eIm1Pz4FKAr7gt9XVcWJEyf4ZlyWKyuHXmR7BMvLy4t1vny1z4/J49qrtX9cjx49xsuhxM69P5lVwiKrGKVUxASCiIiO5x75PF/8+P+DdhMGZUksCnYHq4jhEWxZoExBf6RB5DxV181zFy/JHIW3IGeTJIFACgHnPT7lbgdJEqVHJPCpZKaP03SSensPocbZFFhKyqpiNFpiZWUlW7wsSP0hRVLIStMYgRARIRFkiR0coez1sUVxTS5xJv+nrsONW0KMhDxDJBAoqxIjNdZHiq6lAhQSJ6CTglZCqw2pKggxK2RjjBCyoKV1LUwXAouwEESkREgeR8RYizXZbqV0NYbEfhKtQ9AIkddTliQ/y0KbGHOnLgSECIxnHU1IDEkk4ZDYhQo4R+QppRELAcVVRXsGzdO5Z15DTAKjLJiGGAShi9S1Y1QW6LDHxQsdtlfRKwxKa2JqabtIO29Z0i19a2lngbno0FERyB6APiTapmM+BR8NFoFKEOsrFN051syDrC1vMbACYxNSQExbtN0VtubPcX7+Ovb8bXi1hlR6oZDNx1iHbUbxEY6Wj3CoN6WyCqNCPnbxArNmnSvzp1hvb2Pq7iCYKiveRVZJ4wMmPMeKeoTjo6dZKjusBSkikQ7XTannFzlfP8mV9na6egVjcpe1dp5Ta8cydUBkOkQbHLtTx7ZzdIVh49IFlFRYU6F0kfmg++Inmfu/gkTwgohAioROhs5Knt3a5IQqWV5epqp6VGUWpEipD9Y3co55U7O5U7Pdl9TTcbZdWqwHbTg3d3z4/gd41xtu5vVvOo3Si7efax9o9/+f822+0btlSnDu3DmeffZZHn300f/P959vh3rhY/6LP/hDvv/W85oHH3iQBx94gEOHVvi+7/s+fvRHf5RiX1yyv4jr9W1fIr0YC/V6vaz1tSHjr9Tyvxlh5intg9CrnmfXruvlXt/+sv+usPaXc50HS0xXZxsiRYKf8Ngn/j2Xvvw5QmjpfEN0EJaPk25+O8WRUxT9itKU1C5kkIUgeMdj9/8Wx9oPc2hJ0KskPSux2mJtD1X0UWqAjDWtm+O6Oc55dtshF8MdjHt3ovsnsbpCap3Hp4ns3dZ1GKM5ceIEvV4fH0NO4PAe7xxd19HUc2bjCZPJhJOnT2GLErOwdLm2O+jqObOtTZxr6TpHM6vZ3tuBqmQkDYdMSU8bpN2PGYtEl5g7x1bo2GsawmzG2qEVyn4Pay2FtUhjUPtqXu9x+9s1r9nemxAKTd9YVpVhaAza6Nz9igkXInXwTLuW3eBo5nNW+j16g1622DGaVj/LdPcR9sY1/eOrDJeG6H5JURpKW1IUJUopQgx0TUvrPJ2bU0872u09VpoNbjleMBgoSl0gRM4vbjrP3p7n7K5n3jtC5ySTnTGzWUMIHqMl1WDA8qFlekYQd5/j1Chy7FCPXqGwi/QG5z2TuuPCRuSZuqB39Bi9qmLyeMPp/le5YdhS9EuMjRQyCz1i0sTg6TrPzlTz1O5JztdvJ8oVJJIgBTrscUx8ltOrT7PWD5SFRtksapJJ4vAEB13TcXnS56tX7uSKfBMqDVBAJxuqeJ4z5ec5eegKwypiixKpBIoIUdGIjtBCPWs4N1nm8s530+yVKG3p9foYY9FakRYCHbyncY4rzZRzzZhn9zZYOrxK0RugyzL7DxpNYS2Fzsk5XQi03uFcPmdD2+JmU/q14/b+Gr5tGQxHFEV5leOKhBDpUr4GZvM5zzY7nO+m2JURRdVDFgVGGypjuaW2HOk0R4+NuOvuWyj7EpBfR1jyjc80U0o8++xz2cD9OwL45HvxV77yBH/8x3+MEIK3vOUu3vnOd3DHHXe84KH9er066npn8DVQLwaUvnnruhZkPn8b4PkA7eVb54vv18u634vNztm6i9xTQAjH9PIzPPbJPyXsrrNUSWKy+KCoXeJSeYiqGuWs2UWOq0EuOm6glWZ45FbmT/05S53HG02nQIkW30FIASEcKtaE4Gmo2Qw3sK7uIy2/hWFvgLYGrbKx8YH588Ieom0bnn76aVZWVlheOXTVBNr5rHZtO5qmoT/oo41FXWNLs/8vQGgEXdviQkfXdnSzGUWCNV0w7PezJ6DRCJ05iTJCionSe8rOMQTWx2O6pkYanbuNgIphYUWTDkQuruvomgbVtByveoyqPmWZkz2kkln8EvPorRc8fWcp65qtpqGb11nVLHMubxs7blwrOTvdw7XZP08GT3CKDkdMKWfZpkR0Hu8T3gWci3Rzx8bmHDeLHBolRv0pWkq8F1za86zXhuLYcarRiMPWos6sEY3CJIlYKF7b0NK1npYbePziJdY3dji5oqiMJojIrIGN7cCsjXQ6obuOsvDc3HuSI8uSflXSsxJl1QKICSKKECKlVmgBUlxkPv00z22eppUrWCac7D/JTSef5fCwYlAJjFE5x3iR29uLEicljVIcU4EQP8/kuS22m5tJyaDFFmeOP8GNK9ssDQylVSgLSmV+YEoKLdTiXB1wSnT43cdYF3fR7w8obIUxNnM3hSSSCCagtEMJmM0mbEh9TdKKQEmJVZrSGoZlhZaKWVMTU+4aSyFBSLzW7PkZO7Mpx0aHKIpq4a1pFh1Fke1zYr4edITl0HDRTRadz6sCC6UUVhvKWDDZgc9+6ine8OYTHDk+QMh94Pe1APAbA4RCCG688fQrcv/9dqnHH3+cJ588y/vf/19w77335vHyK/QZdL2+OfUdAQavBSjOOXZ2djDGsLy8/LwYn29WvTIg7YXr+Gat9+9a7it9HF+29S0klvtU82xt4rnwyKe5+MD9SN+iCUQhQFoKFRFKovsDpLFZ+CASSiS0sWgpSTIRPRy58Q7OPrHGcruBtgGp8oUX6dDRk6RDpECKju14jHXuI47eStlfwVqDMRqRUUG2XYmZG6i9P+jw7e7uEmNiMBgQYlxwuFqapqFtW1ZWV7NJ9aIb+LXWNK0QGaS5lno2J7Ydq0sjRv0BVVllzz6l0WIhQFBiYSLsc6buolt4ZXePRs3zMY2RENQBGAwxEpyjrWu6umZlNGBpmLOLC1Mitc5RaIsxZt7HgFIGhcAm2NjZppvOkUlAGRCp5qZjlp0Nz7OTGbZvUFosLEUWubuL9zbFSHAe3wb8vMFP9wh1x6braGaBKzq//1LBTurhlo/Q71VoI8FqhNHYQqJEXnZyCe00IYCsBsjlY1y5cBbme6goCYBHMO8Usy6heuDnHa21DIaCsohYq3BBMtkLhOhBgJGSXmHRRlJUnqXU8fpDz7BzZZ3L26/jdaOnOH3DmOWqoCgAA3Pn6aY57lAA2kBRVBit6RUdRwaem0Zf4crWLtO2zxvWnuTUsqLXF+hSAZpm1tC4QMgXFoVSFIWhtJ6YAr2RpewqrLEYYxdq7QxifUpoL3EkymCxRpNPihder1Jk4ZNVhtp1z+OpxgXdOAry+Wmv+moaYzDagAAfIqZzECPRBlSnr1KB96nSKZt4C5H5o1pLRLQ88fAVJrtzzrzuMMqAkJFMM3kh9/ol3z6+g0BQSonjx4/zcz/3c2h9FUJ8Jx2D12J9R4BBgK2tLX7zN3+TP/zDP2RzcxOtNW9+85v5hV/4Bd7xjnd8qzfven07lEgHH0vz4PnSFz/L1oP3YyfrROeJ++R9ElJqdNHPClhYMN0ESSSMNpRFCTLi6pblo2eQR9/F5sZ/QJoxoFE2IpPPggzhkUkwoWI9fDdx6U7K3gBT5g9DIzXo3G2UcABypMyGyrlREtnd2UGkhNKatmtp5zXTyQSjNUVR5A6NXCxnAQitzR/qs51tZtMpTVNTT6ccHSyz1OtRliXFAcdQI1UeK4tE9r2LEpMkykrSMNG0LZe3d/A+UJUlSl/1MvTe49qO2XiPQdXj0HBIVZVYW+Xla4VQcpEhkY2RUQG8WihoEyM3YP3KFZz3WF9w5mRiWCROH6248OVNmlIvWF+CGALywHQaQkjErqObt6hmzOlljxxWnD61xkgJkkooKdBa8Mh64ulaoZRAKgEqoZWiZ/oUtqALLXXKns9KglQBXSjWbjzCXSdPQAiZaqADroPn1mtmdceF3U1acRg7kviY2NiYEHzC2AKjJciEj47prCYT+kuslgxHiZNHV/H9N7CUnmJpmLBFomk7trY6kB6131lNkrpr2d1rMNIyGGoKqziyEjjeHKHuTnB8cIlh1aK0ZjJuqOsWKRNaWVARgqT1NV2MlIWlqgxFYZ9ndq61pigtSmVVdEqOkCLSZEN10v6DeFZf7/M9vQ/M5w2NbGmdI8S4eMCJRDJfVcSIWTwc7K/PGE2vVyGlpK4bCIEQ8rlcakPygRTiQmkdiFHlnGvyNWFNgbWaRGTzQs1k9yKvv32N3sgiXsnwp9dAjUaj6+DvNVbfEWDw3Llz/NiP/RgPPJAd3NfW1pjNZnzkIx/hs5/9LB/72Md461vf+q3ezOv1itW1xPFrfpqySnVcz3jg0ce5+OjnKHYuY5TE9kqskhA1Ho/zLe18hrt8HnvoBAxGxChISaKlwhqLUIHUOaSynLnrP+apTzzN5uShA+NiGQQ5nSv79q2n4zTD27C9AbrQWK3RSiOsxAiD3Bd7xEhMVzOCYwoUhcW1Hbu72/R7A5qmZTaeUs+mHDtx/Gv2N3M9pVQL4FoQfGRnawdfz6isZdjrUxiD1Rql5GIMvs8zFNeYFme+mCJRRMtw0OfylSvsbFxh1quwpUXIzHUMTYNvWwSJ4eE1TFlgTQYY2miMlnkMKPRBJ1FCTigxGhsL+lVFqQ07u3tQS248MmG2N2epV3Ko2GJ9ewsfFTFEbGlRSoBShERO3Kg73O4Obz5Vckj3KWxiaQVGpkAUEiE0KXji+hQpcseMlOGpEDHb5hgLeBqRcrQXKRssCwHCsbY6xKiswow+0NYBZQo2NsZsbV1htunoTKKeN5R9zWBFU2pDsRinBiJdhLYL7O3VB56Qw+UBS6PDlNtgVMF4GvDO0e+XVEUPo/NDSkIgoqHrBDPXcmV3Rs9WWKNZO3acYG6imv01EsfeVk2SUPULikJi0UiZCESit9TOM5t76nlN9HLxAJJ9gKSSFEVBVRXUdUPjPSllrmTPlMjWk3zIcWcx4lMe4YtuoYgXAh8iLnhCzEAuLsRQxifMIipx38ZISLnwlzS4ztHlOB0k0JMSHRLJOWKwiCCJwuMWynNpJNpoql4PSNTzltlewxc/8wxvePMx1o4vIWRi/3Hwev3ddR0IvvbqNQ0G9602fuZnfoYHHniAN7zhDXzgAx/g3nvvZW9vj/e973382Z/9Gb/yK7/CBz/4wW/15l6vV6iuveEfwMKFYOTS7jZfPXeOjbMPYDbPcqjUlMagTEKKnL4RE7ggMdaT6i32zn6B/nCAKI8SoybEmtqBdIYuBIL32N4yq6//z7jwZYObPc6Km1CZiNERLSItJTv6Fmy1hjEKpWwe6WqFljpz/RZgIfMCIyS5SKiAoBOmCDT1hOlki9l0ws72Dv1BhZALhfRBdkpO1A0x0HkHbWTqamYaqrJgVPVRxiKsQmi9+MpGz/tK0BQiQQSk93QqkULAKE3flJw+foJL0ynrsykqZH5dIiKc4+Thw6zYkpG2VDLvk1IKJRVCaZQxaKmuCk5EfpdCzN6HVlmWR0NGR9d44vxzXLg8o4xbJAWlsbitOXvTS7TzFcphiSkX4NVHfOsYT2qqOGNkNNI3DAfLlKXKoppCILHEqJB6moFJCsQkiVESYqT1DamJ+ODxKRDwB7m7KXmQkqK0WAMyKqILCByj5HEDxVIp2d2eszuEw0slw76hLBXaKJSUSJEwZGBjjUJLwXg2h04jwx6Ty89wqHTM2wYpYGm5oldJCpv5qRmoS1LUyCIiuwIpFbvTKUaUxNkmjbQoHdmbzyi1ZmlYUpQabfKIWghJTBCCQJncHZ2NFRvjMSIlRMzXiyDlf7N0Op+LAUISVKZAdwHnOggF2gekDMQk6GKHDxKJyJYsMWQAHiN4j3ctvbjg7cWUm/EhkXyknTc46XBdxMe0yHOW6KAZJMl2M8sjfSEJSEQUeLMwic9+SYiUe/mkiKsTX/jMk9x4yypvuOMUUu8DQnFwf7gOe55f14Hga7Ne02AQ4OMf/zj3338/g8GA3/3d3+Utb3kLAEtLS/zSL/0St956K7fddtu3eCuv17euMhz0KfHU9jrnNnZo1p+DZx9ktRBUpcBqgZEWJSTIPH6yQmBEh0otTC6z8/gXOfy295BUQew8zjc08zGbGxcYT3YRSSKs4sjbfhTpArP6Envjx2DnEYTbZhYPo0+cplQFUuYPdakESoJWAmtyF09ISfCBzrmcNJKy2EIpiVGGSirmlz5Jv36CoY7IcAQx3kWU30W0h4kxixOkWOTVpkjXitxBWTrC3uYFbjAGozK3SyJRQqJFBqWFKSisJXhP07bElJAh5FGsUihtaUlMCk25fAKhFEoIYkqkDzdcAAAgAElEQVS4Q56NeY1qGlaWewipSFIRlUAoiVGawlhsWRBCgLohLPKfkQolAkIJpJI8dWUDsXaYWbrM+pUxRhmuNBK5soJoEle2dlHbMLCCG1ZLVvoCXYAzElEd5snLNW88NqAwkkJLCmPQtkRQQGxZ6084u9kQnCN4QVACLyUNLb51hJQFPNEFYhdwLhHqwOHDBZUdIE32lOxUjQCsd5i+RayMOD6qWCnGjHqKfgGFIXdetT7IiQ4q0MmYfRtjye5OSxMiwuicXNImVlb7DEpDZWUGjkqTJ/KSGANBBhQREQXB9djZbXEx0viWJswZFDDoF5SVwVqF0QKtFCy85UJIiwcQgwyJcqbYmXlU8sik6DzMakHTOcK+RVLMXT6pBCvasDGZ4q3FCY0S+aFARokIi+zglPKDRQh415HaOYyn6CYSu5ZQ9vDBI4SCtsMFj5SC6APBZ28/Fzu8cyxHwdbeBGctCIFOESEjUQS8DHStI6U5gtwljiEuovw0j33pIusXNrn3+99Eb1hy4CTA15sjXK/r9dqq1zwY/JM/+RNijLz73e/mrrvuAq6qUO+8805+9Vd/9fqTzndYXX3mB5EEe23D2UuXGXczUj1n9syjDHSgNAVGFSgjEbpAqESSBSkkhPNoZ/IHfehgYx23vQ5HC3xwbG5vsbe9hdGGXr9AGZs9ApFZKbt0iG7lRtpDd1KPL9PNFcquIHQDqgBpstehzEBJqIitFMYY5nWNTCEnoSQPwSFlQ9ItyQb61WWOl08jU6KNz7K3+yzjbpvy2DuZ2SUKqynKgl6vJEjF7s6YSzubVNUQbQukSgiR0EEvvBfzlxSglcQUJptCu3wcZUpIEnoxLrVS0a9K6p6lQOe84wQejYoJ1XYkmUgCJAkbEypLtxFaUliLdw4nBHLxGrUQgSUpMEh6pqDuV4x6h3n7rRrtBR/58jarh45wqqwQwcHeFY4XkVNrFUWVc4gJkUkXuLRtmbaJIA2gQfZA9AELQnP88CHiVy7gGo/RhkjOYk7BZztIIIRI8BC6hG89vt7j1JEVlDAk0cv5vCJbtahU4hrBwFTcfKSgmFm0tggjUcag9OJ7CcSE9JmDF3WLKSVFoQn1Mv3hDTSbFl0EdKlRRiONRhiDPOAMCmLOqEMR0CFSFiBNIsYhVbqBWPeoCkVhC4zSGKUPhBpSSGIS2ZsxtugQMSYiZYELDTq0qABCelLnFok0YeFR6fGxxrkZQ5O4PN0mFJEofAbaKIQ0JJEFHwlPCoHkA7FrCLMpqp6ig2be7mEaAcqTZEsKGonKADkEgte0cUbna2pX46c1va5lqndRIRLKgqgsQbU405F8xMUOFt11H7ORuwsd3nueeuoy03qTd/6Dezm0upKnBSItOolcR4PX6zVdr2kwGELg0UcfRQjBfffd96L2J6+kLcv1+vaoSFyEjUjGnePh5y6y17ZIIfExIo4O6Zb7NGaPoFpaX+DUMmZwK7pYQqvMl0IbKm0ZWc1qSNSqh7eJx9b/NbHYZHSbpSgsxvSwRQ8rRygxINDg0i5d1+C7OfNZzZWHLqNHPZqVHvQ0sZAEo3BG0RqLVoaZMUgBrvB4lbshIThck3Aa5tIxczUrt23B6pCkNYXucVgfyUR8voIXDW0c44NjqjzRw/r2mFKd4ihvYbiyxlJZMrAVpTSIqFBtQnQtadbSpj3GwfPclQ0m0wmVVAxttbCoiajgWG5dps+ViiLCUBeU2mK0wpRQhEBhFlY5HYT5nDqO2UqBxrWouqMqyoOOYgiBruvYa2rmVrBiSt42XMPqIb2VYxghiaHmjpOeIBTed8yaOb3qZg71LAJLCBYhC4yRHK4UqyMJIaGiZjJ17E0iIUqiT7iuZncy4ZQ9Rk8s0Us9CnKMmhYL4GTyuNyHgCs8Tdnh+y2pTpx9MtE6TzObIsQom5ErSxSCG49blozhy195OivXRTbqds5TFAW+jSwPlukVFcoqHj/7GLYqKIoBRi9zwixhV38MJQVtrUleMSXhQyD6mDuWztE2NePJHlVRURV9JBYVYHlecPHKmB1xO9EXFNagtVrkN0OIgaaumc12qaqKw6MjlFUPawpC70nsnR+mcZHduqPsWXoDi9RkBbfMNIoygQ2BXj3nhtjQCVBC4xMZkLWJ2cwjlaY3MFjLgiYQEST6KEpjkeq5LAUSmVcbY8SHhPcJ13m6OtHsRFa5kxv6t/L6Q7ciDASjicbgZCL5RDG0ROnYme3hOkdZZWNqpSRJCnRS9GKBcau41PHphx/i9ltfz6kbjqOSWIDC658P1+u1Xa9pMBhjZD7PNhdHjhx5HvDLqjZ/1Xj3en3HlEyCIAQ7rePc9i7BaCyJ0IxJ8wdZXnmG1YGjsj2ShOAS4/oiOzNQ+rsR/eNIaym1QVuLKovsaVY3xLCD048RzQZquYcwllRUYPoIOUQyQoiWmHZQrib6Kc7PSXqMWDYwMIhSEEtNMBqhFRgD2hJEjmtLMYNAb9o8xlSBoBTQklzLjtIMjgwX21hgNSg5RjFFpxYRZnR+RufGdPNEI6aMgmA4fR0n+scpipJKa1SpM19RyIMxYOs71p99jgsXLnDo8CrD4YjBYpQslEZIzUgZRq1jvrFLVRjWlg5RSEm1AFEYnX0KQ8B5R5cSvmmZXF4nAof6A6xwGLVIm0DipMIoy/b2mDaOOXXTzQyNpCgO0zEgyhmrvYhrHfMwwTcJbQ/hw4DW97DCIIUlKI1RFf2qT5KBdl7jmpbWtQsPREfTVsymkoGu6KsRlcxg0GIwwlJqS1kUlGWZDbpFTSc6nHI0XUvnOtpZw2QaQRUsDXsUZYmxBaVSRDnAeQFBLLh5HudaLm9M8V3HTlXQsyX9YcXFSwNWDq0yGC1R9PpUUmDsTShhULLCmIKubWnrlqbN1kBdW9O0Nbs7FpEES/1lStsj+JbLG+dQpcH0byGEkq5V+C77ucSULYm6rmN3vMSl9TnjYYnUgn5pETd3pJUnaec1dWopl4fEoUAawCqEzvZDSmXRTZECVXTgO7x3NAFiHejmAaM9zdwz6vWwA4Gx8v9l783DLavKc9/faGaz2t1VXxQ9FFB0CogdeiwFu5BrA8REI8Zc5OaJXj0nwSQ3Rr3JyRETExITEiMqEkNiNKaMiHpuJEYNKFRBpKeglOqrdlXtdnWzGc39Y8y1apeAyTlPYdA4nmfBrrXWHHPMZs3xjvf7vvcNDHwsSaSubPNkcGvxFu8MrnSY0mEKTzkwDLyjpMV4/FwmkxrppCJOUhpRHS8FWZFTDgpma5J5n9HPeiRjCbImUFoQRRIlNIgaYPEuxVlPWRrufnQr870OZ558SgiV/8Sa4Sftx7z9WINBpRTj4+MAbN++ffR+UE/fyqte9SrWrl3LjTfeyCmnnHLE5z8sxrDX67GwsEiapkxMjP/Q9huebQ5HcCzw3jM/O0eWDxgfnyBt1JBDBvXHQnfBVQctsQimuxn7uh2y0uK8A5vD4t1MpY8wNWFopjFKB0cIay3NwtBMd7NvoQfxJZh4dfAiNYayHyzOAnPhiCNPtww5STYqQ1jYKgweJzK8d1iXYV2B85bBYomKgpSGliLkC0oCUxJFKJ0QqSZaJiA8xg9woofE4j1I65HaBoYm0vR7JdZIvDaUboCwKohbK48jx7gS6/IQ8ixLnCmoxyHUamxJU9URkSbSwUVEC0VuShCCg7Mz7Ni1i1XLVzIxMUYjCdW9WqkQ5sVjvCOKDYnWdLodShP6jLQiijU6TpGekPeIBSRz++dInac1MUFt6FZRMU3CeawzJFGE0pKZ+Tn27tnNWaeejkSgnMUikUHBBE8QJq4SARhajQ1Lh6QPDJRH4oSs/FdVCLuP7hcJnuCF7H3Ypvp3ELQLThhCVBXeo/35kduZE7JydA1gK2gfBkHuJK3jrcBXIV0dRUil6Xd7xEmK1gmdhYxa0gIUAoVyCuFFSDUQOsgbKU0pTBXC9NU9HlxBkJJ2Y4xep8fcwiydfpdmu0WjOUY6kguKqlBopetoLSoqAmOmJE5oxhvj5FmfxblZpLEUGdjFFkV3LSIG6ho1WaKXe1QiSZTCIylFCWaAwyCRaGexKrCISaTJjCHPHDIGKQ1CKkSpyFXIK5QiXE9X5RWW1uGMoSwlA+PIeglj2Qk01fIqRUERCU1SD+F260oKZfBOUeQh3F+v14mSJNxfSlZsZrDG8z7kSYrIILXi/m3fJStKnn366cRSHY4SL6kq+VEvMPlJVOwnbdh+bMGg9x4pJS984Qu57bbbuOGGG/ipn/opzjrrLHbs2MHb3vY2tm/fzoknnsgJJ5ww2mbp9k/XuLz33H333Xz5y19m587dFcNQ0GjUeMlLXsJLX/pS6vX60/sj9Q6BIOv0+Mf/76vc9bV/pNh/EGkMrhax4oxn8bJLL+Hcc87Fi6Ff7I9q81BVtJbesn1mloO9HCNEAGymxPR3k/IYU1Oedj0OYUotQlWis5S5QQpL7noc7D6EjCYoVVK5lFQSL85RigykwFuJLRQq6BNT+AHWFyBV8B92Jc4WOOPpd0ukDs4bAX2ISpxXIYVCyYRY1ohEGwApNF5avDB4LEJIhHAIqdDCg7PY0qK0xFFS+i5ClsH72IGzOc4NcNZR5ICPSOKIZrPJYqfDeGsMJTWx1CS1GrGK8P0e+SDj0cceo9lsMDHeRumIRWc4UJSUSiCUIpKSmlDUI00qauAdi51FJlpjSCnROqLWqAfQ1u1hSsUgy+n1B0yMTaLqDTIhyKwhK/OgOycg8VBTkjitMdn2TE9Pc6DfYYVcHsStfQDj3rsqtOxHrifeezxBjsdZR2EsfhAiBsaEggfnwnbeU2nUVSLZLiwWXCVw4nyofs3zPHhCV7p5rtpvKFL14d/GIZTBVSLhQUcv6DMmUQpa4pzHOYVSldy582RZxuTYMuppnSjWLA4WcUP9PB9CwdY68qzAVvaD1ji8I9zn3odjMJa5mTmiSLPQXSCpp9SbDdI0IY4TtArMb4iMhG2stagqUiK8Z252kSiaolabxDfGWegqxIExViy8mLZcQ6RCHmDxeEavtpvGCQvo9Q5ig6CHkJ5ClQgXNBydLKsc2BKkI+v2UbqGJ8J6QVLoYG+nBFY6nArXD2uwRlIYhc0NrlOgD4yzvNiAT6NwdZzFuJx+FqG8xhYOXOWs4zzNZoskTSoh67DYkMPzLqiug8OqoMU5tmyKx3btxBjDs844g2Yc/N+9OKxH8CP9VPwhkh4/ac/89mMLBoc3+dVXX82NN97Ijh07uOiii1i9ejXT09MsLCywfv16/uzP/mxkySWEIM9zrr/+esbHx3nrW9961MdVliV//dd/zZYtW3jVq17F1VdfTb1exxjDtm3buPXWW9m8eTPveMc7WLFixVHf/9K2Z/oAH/u9PyLacifn7N7GsrkOkTX0k4RdDzzMZ7bcyaOXXcHlb7wMVPS0juXpaf7wfwVkpeeRvfs4lBcgK8kTb3DG4PvbaLc61OMaaRSTxAqdKISIsKVBAdZKxhoFnd528nwDJlmG80da8ZXChXw573GmxFpAOqRPcM4gpQ9g0DucCzl71ojDzA5iSX6SRFSsECgkFfj0GRIVxJUrrbtRE0Hiw1mDNR5QWO8Qsgj9eB8YQeuwVgTQhGcgPP1EofsRi/0+ca2G9xZjSrzzYBzzi4vMD3osW7GCvf0uxkXQqiPrdZQO1mSZcyzaElnkpM6RRhqbF8wOOqT1FG89tiixwmO9wwNzswuopMZ8JBmYATaKEIlGRKEq1HnHgjH4PCfKS2oC0maLQ9MHmTj+WLyVFZgLkjtD32alFNaa6iWR0iGlHaWJACP7Pudc9QqAaOihbK0dfW7t4e19lcs4lMA5/J3wfWNMqDZe0v9oewxxFCG8CqCzklkh8hhnKYqS0hS0a+0qTO7JsgEmSRHeIpxBljneW8oyAMrDY7BYa3DG4h20Gy10rJiZP0i90SCOkuDGoQLzq1UQkQ5CzQ5EgQe00yRJnbRW0O13WLXiGCJRJ1tImCyfw6rGWcQ6Qepw81kLZTlBb+sCnWKaZRtyRGIxoo9YYhEX7lEHlWZmp+OR0iGyGLIWtttG521AQpqj2j3U8mnKxGFLjyks2cDRW5A0ijF8PoaJLcZalNNQOrzLkHiMLyiNI/eGtNkKDiZRhBISV5QUNrD0QoZK7pGjitB44am1muRFwfb9+8lKw4UbzqBRrw8lzeHHoLBkx44drFu37idg8CftxxcMQpikV61axa233sp73vMebr/9dqanp2m1Wvz8z/8811xzDevWrQPCpPDggw/y/ve/ny984QvceOONR23FtHQFdsstt/DAAw/wnve8h1WrVh3xvQsuuICzzjqLm266ieuvv57f+I3fIEmS0bEcjTZkPPtZnxv+4Dqmvn4bz370flZ2S4ahNNnpcvzsAmsPHOQbZcn4ZIuXv/rVR3UcP4y2hOelO+jzwON7mHEWLxWaSgdOlLiyQLgZ0kQR6cAcRIlGR02ESJCyj8OgS0ccSRKd0ctn8HJsBA4gMD5WGLwPLI4xEkqwwqJFgXShutT7UBgR2KOgUXeYPQpuGd47PKbSuStxPqcQiwCU9DE+xww17nwQ5a2k06ByxqAQOB8qaJX0DEPlAYAonDE4WyJwFJFkIZHoVLHQ70CrhtZNfH8AUlIUJY/PHqAbK7zwNFZMUm+3iGohpDv0qPWV5p4pS4o8p9Pto0zBwvwMcavFSqmg28NIT2kd+/oddvQ7qFoN34hIWs3A3ujAWA1Ds0OQl2d9FhYXKYo+rtdlstejGelQSGOKIAaeDej1eqGYIU2xNgq2eEuA4DBPeMgeDsHbEAQOBqGPWq1GVOkrDgskhtsM28gPugJkwz76/T5KKer1erV9yIHES9I0QXhdFceEPpWzIXQba7J8wNTYFN5Dw5bkWY8iHyC0QHhL6fvBuYPg+auUwkN1HAV5lpNGKePtCRZ78yMHDq11VT0cEWldef5qIOTKBQ5VoFx1vycxgzwL25XjTHSexdrk2TR0CxnpoI0IlA4KGxENUuYf9xyI99LaYPHe4r0Db0H4UUhaOBBCM7E8pbfDkvZOpelPoKEniWUriNt0MwYHuizu2kW+aht2bC9FZhjkGc4luGaH3mAfzTyhr/v0rEN5iIQmkglQw1tJpGNkHOO958C+/SwsLOCcG7moCCnxIjzbkiRhrN2m1WoRK0273Wa612fvwYPcce93ePYZG1jWbkOVaBBSI340m/eev/mbv+EXfuEXWLly5dPGEH5/weaTvbd030vny+/f5sneX7qfJxv/U33/3zv2pfv83+3nR6H9WIPBYduwYQObNm2i2+0yGAwYHx8febIO2/bt23nJS17CmjVr0Fpz9tlnH7WLPuxn7959fPWr/8R/+2/vegIQHLY0TXnzm9/M7/zO7/L1r3+dSy655KiMAZb8WDx87X/+M3LLnTz/wQdo50Vl4QUWiceROsOJMwco7v9XvvK3f8cFz3seU1NTR20sP5xWhd2KR9jy4LdZtOuxURMlLFaA9TLkrJkC6U3ITxOAsCBS8PXghiH6ldadD+ya8BRFBjJHKvV9YLDACodzkrKo9NGKmKxMsUUENkJHEl3L8CrD2pJIZfRyh7PhoePdYcDhfIGxg8B0kAFgfYFxGc4anPWj11DqRKAo8xDyFIWAokGZxzgHQhlUaiDKKY3DlcGtQ6mIZNkUvSgn7/TYnfdpyoimVpTe89CunWw9dIBo5XLG16wlHR8jqQW7uSgKGnIy8CU47zHOYYs6Kq5RaEW302F7d4FUalpC4oSnax2PLczQbae0pyapt1rU4yqfq7KxGz2CrcdaE0J8SQxJzPTefRzqLZI0G9iq8CHLMvIsI01TBoMBtVqt+q1Xnsreo5Zes+o8LwVxWZbhnCNNU/r9/ogxEkJWYeTw/aXpAUMwWBQFeZ4zGAxGz5jh30vBYL3eRhKRZXnFJsoqJUChlSLLM2bmDtFd7GIr7T7T7VPkBYOsX6UGiiMm0iiKSJIEV1qKLGfl5CrSOGVmvgzVz0qjpA7pB1KitSaONbV6DWc9MAjsonUYoVEqRypJ7my4302bVc0LaUZjxIlE6iQUV2CIrCcyMaXX4JYx/fgMtWMkvlHgXYmvQu/egXcG60KVrjuYMDZ/LmvjM2nW2kH8exi6tQ0adox6NsHMjjGmxwxq9TTjE3WKDLLuQeaa99KzOyj9HIYODouyEl3WicwqxvwaatH5DOZmOXBwBikl7XabNE2J4gi5xFvXVYuY2UMzzM/OMbVsiijSjLfHOHjgALumDzDoZ5y3YQPHrFzxI19gvGvXLh555BG2bLmbV73qlU87yNm3bx9f/vKX2b59O0mS8MIXvpCLLrroiIUZwP79+7n55ptZWFjglFNO4bLLLuOhhx7ii1/8IkopLrzwQl72spcdMV7vPY899hh33nnnEftMkoTTTz+dDRs2AP9rQG7pgm9xcZEvfvGLJEnCpZdeShzHP3ag8D8FGPQ+5B01m00ajcaTfqfdbrN582Y+85nPcN1117F+/fqjun8hBHfddRcnn3wyJ598yg/8fpqmvOIVr+ArX/kSl1xyyVEFpd57yrLk7m9+g1N3bGc8z7EC8A4jQHmPFUGlX3nBSdMHuX/nDrbcdReXvOIVP1I/AEFJXj7K3l2bGAw8A38i2hYgBaUMorfCgjAFspDYMgAqVyWqe9FH4HA2xxvCy1kK48kyEAyOBIPeY3xGqQTlQDEQgu5ik97+5dBdiaYdQr0iwycHqC3rka45gHIFxaCkyDxx3WG1QmkCwDMGyME5hAvsT5hYC3xp8aYas/NY4ylzgysVgw6QTdDdPYWdX4m0TfAah8Ens8TL9tFcHSZQk0e4hqJeqyOoodDMDTrsznus8Ql79+3n/l2PI5dNMnXMOtKxFvV6ShIllURH8JAdKTh6R2wtRhqUAinHybRivtNlutuBWg2HY2e3y7wtGVu2jNbYWPAyjuKqz8OexiDwziCtBC1RWqFQOCdAaYqiwBQ5WZ4FNi9NWbZsGTMzM3Q6neq+FyMg92RgcAjk+v0B/X6fiYkJoiji4MGDdLvdasIKjhlDkPf9YLAsS/I8o9/vU5blSMHgwIED1fahUMsqT6o1SkYUlU5faCEXzXvP/PwseW9Aq9EmqTVQsmLvTBHyXPHUGsGn1y/JY5yfm8cYQyOpBdFwIWEJYyKWpDUIISqLN42Xjiw7/P6w8EYIgbGW/fv3kDQlPXLSpKDWmApWhVGEwGGsxSiLJicyEbX+Shb2bCU5IYTKvfVB+sZ4jFFkxjGYF7T3nMTxjXNpNlqkSRz6FAIvq/B3JWCt+ydhOwZx4mby1iEK7yk7fQYT3yVrQhwJYlVFbp3CuoPkxW76i5pyZoBbOIGpqRW0x8ap1evoSKOjIOIuKnZvaIdXJGFBsH96P2PtFlGUUK/XWZzvsPfgQRbu+jYXnnsupx57bKWP+TQ9wJ7m9u1v30VRGG6//Q5e8YpXIKV4WgBuWZZce+21fOADHyDP8yM+u/TSS/nkJz85KvQ0xvDyl7+cBx54AAhz9vr169m4cSODwWC0zcUXX3xEP0IIbrjhBj70oQ894X0pJVdddRXXX3/96L1/qz322GNce+21vP/97+eYY47h29/+Nm9+85s555xzeN3rXve/dyKe4e0/BRgM1X5VNWHFjHnhqgyt8O/JZVNMLpvkrs2bOffcc4mrZOGjs/vwgH/88cc57bT1/Htq0E4//TQ++tG/CAndSyavozGWXq/H3L59rJ2draqJwSFR3hHcB0K6vPQe5WD17CG2P/74Udn/09qGwsTCASVF8TCzs1/BZPP0+5Ms2gFpLILGsAi6eM4ZKCR+0KDTO0SrYSiiGNQA40LhjHEGl+eUBfQyw9xCnYVuhh4cQkYpKBVy9YzDuTkWTJ1D37OkepK6X08zWUmc1FEqqvTcPNYfSz7dZ3Z6H05tpze7n1arQ9IAqR1KCYTwVW5SjpcW6Q6voEe5bBUbWBaWMgMzN4lbWM7M7hrR4ARq0RRR1EAl1Ridw5rjyPefwKG9u7DRHrws8GmbeCxFEkLchS/ZvtBh2mT0pceNjTG5YgXNVoNarUacpERRXEmJKIQ8DI688zhlKx/bACzaeBbzku8Neuz1Bd57FrM+tfZYldgfpFd0HKF0FXaumMHAlsoAvKVEilBm2nQtpPP0+z3KPKM/GNBotBhrjyGVJE3rIzAXPG9rVRWpOoKNsDYskAaDAXmes2zZChqNBkII4jjh4MEDLC4uYq0lSULhhVRhfCG8vxRM9nHOsXbtWpKkBoBSEYcOHqJjFzH1OnHk0AyQhLD00iIX6wyDbp+x5gRjzTZpUidS0SgEb52jljbo93vkRUFjrA4y5H4mUUItiun0unigP+jR63YZZH2MCY41Fo/1HuVFCL2Xhl5nUOU+DnMnQ3jXeoHNDFOtCRqNNmnTQmxZmF8kjlKaK5ZTq6fgQ9GL945SxmhtSNUYnZkacm2GESWuDOfZWo8pBKYrMfsnWRltoJXUSOKEeJjTJ8P95JxDmZDGIK1kIlvLzO7dcMIi/YU56q2EtK5RiUdrEeSNhMOh8A6M9bi6x/RKppavYHxskrRRJ07i6j44HPoP923Im5RxhIojZF+xuNgliUt6vR5RrBhvLCNKY7bt24uOYk5ctRo1TNMQh+eTZzpAtNZyxx13ALB79+6qmPIEjtbAhyyftZZrrrmGP/3TP6XZbPL2t7+dCy+8kEcffZTrrruOW265hXe/+938xV/8BUIIvvOd7/DII4+wbt06/umf/omiKPjc5z7HYDDg8ssv57rrrqMsyyfd5+bNmxFC8LM/+7NcdNFFWGu55557+Mu//Es++clPcvXVV3POOec8oXBmaRjZe8+WLVu45JJLWLduHStXrkQIwd133433nvPPP/+IZ8ePEjnyb1kGa04AACAASURBVLX/FGBQAML5SuEhMELSCxAuyFAIkN5S5AUP3Hs/l//MFUd/DEJQFDlJkvy7KriSJBlNMsMCl6PVrLW40qKMxQuJ9pYhNPY48MGb0wHKO9LCMVcUR3UMR79ZnHCARmLJ8/uZW/wqeTbLXCFY6Cvy3l5s0sDHGiVihAPPAGH6xHSYmevRbBJs0vCUUS8Uc5Sagc3IMs/MvMTodSyfPIRyOynKOqaM8D74DKd1z6N3p4iF42lMHsdYq008kvGQS9ikhMgkxEWDTncFLDzOwu77SVs9lC4pZUQIawqU8widI9EMQ53OBZbFGjAFFJki71iKmXWohbOJlaRebxLHtWrSkwgBzpcYI9FmJVHeYrE7SZYNyFe0iNbVwFmSFOqlw5eWtFln4D2pLam3mugkIYrjMGlXjhVDcFVhtApgHS6Ecc7jkoS0UScTkLTaeBcKIRrNJnGaEMUROq76GzKDQ9kWH/IQrZVVcQ742JOkBrPYZaGfIbxjfHycdnusAhPhgb1mzRpmZ2eZm5ulKMsA5rQePdCH1cB5XqC1ZsWKFTSbzdHnUaRZu3btCFTmWUacJKNjHnkolyVl1f/y5cup1WqEhRUh3y6KmDl0iE6nQ6QLdLQMiakAUmB2nfUMen0kirHWGPU0FHxEKkIIiasqfpUKjJ/tzmNLS73ZwCpwKkgTOTz9Xp+klhCJGBR0ZypA6Ko8VFdiTFggG2MBRjmP1rrAgOcFkYpoN8dIkgZJmiPSOgjP3NwsExNjjCdjeO/IywIhQUiPFBYlDJQuuIoIizWWshCUBWSZQ80uY6p/No2pFjKRlftJNCrykFJijAnX3wl8VJKYFn5uOfPpA9TbCUldEycy+IYrMWK2HAqcR1lwKiKaaNN2bWr1GnES7jVV7U8IObqOw9+VHP5OPeA8c3NzRFFEs90iSVJUHO7PPTMzKKk5dvkylBQj32//DM8j9N7zyCNb8d4TxzFTU1N8+9t3VmDw6LThc+4b3/gGH/nIR1BK8elPf5pXvOIVo++ccsopvOENb+Dv//7ved/73sejjz7KX/3VX2GModlsctttt+G95wtf+MJovrzzzjt5zWte84T9FUXBvffeixCCq666ihe/+MVACO9+6Utf4sCBAxw4cAAI4epNmzaxdetWarUaL33pS9m4cSNaa+68806uv/565ufnOf7449m0aRNXXHEFW7ZsAeDMM89k06ZNfPOb32T58uVcddVVTE1N/ViAwv8UYDD8QCVOgMQF9kNowsPaVwERxfZde9l34CAXXHD+0zKKqakppqfDDfmDbp5haKnRaIwKSI5mS5KE2liNxXqT5b1B8IEXoDwjyQSLRyCxUnCoXWP5M/yG90PdN1/S7d5Jp/PP5NkcCx1HtzyeNctq6PFHUEmT3EbgJbESJDVDo26JXMbBvZ59e7uY5ZKxHKIowakSb/r0c8HBGcmh/rG0mzWW1b/LsnFNnFi0jquJyGI93P5NxbL2GpqtcZJaRBxplI6PYHidcwH0yKCn5txKDsw/RufgPEKbcEzeo10Ih0ojQQz18RzOhipkU1YCvB1PmYHNBAmadq2NTpPA3kldMXfgfIRSHqccSniEX44rFhgsSLSKcdqgrSVOErIoIqnX6O3eQ73ZODyRKjViBIdgcHhsw0lVVuE37z3aO5yNiNOEQZaRNGpkWYaOIqIkqezYNFJplI6O6HN4Hpxz1bnz+MijnSOKInLvSWspk2NtkiRB6QglVKhWhRHAa7fbHDp0kF6vS1mWIzZAKUUUJYyNjTE2NkYcxyNWMozfobVizZo19Hq9Ueh5WEk8/F6apixfvpx2u324+EUcHr9SiiRJWFhYYGG+Q6czj/CBmUKIkfB01hvQbrSpxXXSKEVH8ahAZ8gID4GqtS26gw5jY+NoJbCVFl5SLSIHeU57YgIdRcwtzJMPBqRJipQKJRzeG4oyC0VHHH4mGWspi5I8yxlvTJDGNZI4JY4EIo5DlXlZcuDAAVqtJt6DGQJaR1Upr3DCU5RQEgqAigLKDnBoipX2BZS+TSxrSBWhpETrYLdYr9dRSjEYDMKiR5WgDUpDOpggFg3i5iJJqtAxaB18vKUQIMEhwAqUE1gpkI2E1KRESVKBzRil1VODQTks7g9FXvU8BwH1ZqPKaaxs/4RkX6eDF5Jjlk8SCz8SnHmmk4MPP/wQ//W/vosPfegPuPLKN3PnnXdhjCGKjq5qxEc+8hHKsuSNb3wjr3zlK49g4y699FKiKGJubo5du3bxu78b8uQBtm3bxrve9S4ABoMBQgj+4R/+gTiOnxQMbt26lW63y8TEBCeffDIQfnf/8i//wvz8PPV6nRNOOIGHH36YSy+9lJ07d9Jut+n1evzhH/4h119/PVdddRV//Md/zGc+8xmEEDz00EPcfPPNvP71r+eee+4B4E/+5E+YnZ1lMBiQZRkPPvggn/rUp47qOfuPak87GBw+dPft28e2bdvo9XqMj4+zfv16JiYmRt97ujX1wv8Fxjge2/oYe/fswQOrVq9g/WmnouOUWi3hd/7f/4fnP/95P/BYIFDr3/3udxkMBkxMTLB+/fpR3sP3H89wu7PPPpvPfvZzvP71ryVN06esUPIebr/9Ds466+x/cxxlWbJ161b27duHEILVq1ezfv16oih6Svax0WhwzPr1PL76Xk4+dAgLKH/4ATaU4bXCspA02bNiNS9dQq8/E1sYe8HszB3MzX2V3C6y2Nd0ytWQrCfKv8XaFTmtMUUtyYmiFCElzhuMycj7Hr16nK07ejy8QzDelozVLEoIBqVgod+gUOtpLzuGJPsW4zVFLVHUGiVRDErFeAdFoWg2p0hrDaJEE0cRcZQitfo+ZtAhhawYWEmzsZweq5k9tAOjFRNOBU3AOEcbhZCqIpp8SLy3YIygyB151zLoWrRtoGiT1proNEx6kY6QSgXtuIClAlMjLGBxvk6j6ahFcRiPEigVPIiVFhVDlDPWHiPSmkgqtAys2BCwDZkvJeXIPm4IlKQM7iRKSmKliWSQUbHGhIlVq4pl0yOAubTPYfVvUZaoESh0AdAoRavVpq40cXSYVdRSI1QITw8LPWq1GitXriLPBywuLjI3NwfA+Pg4zWaLNK2NvHmHrF8IA7tqn4ZGg+AN3e+zuLg4mmTa7TbNZito9x3RBwzzDIfXfWxsjFpS5/67doKTCCmJdERaSzFFAKlxZT+oVUQUx8RxAMjO+SpE5nEuCvI0A4F3Hh3HBNbYErmYKE4Y9DKEhFpSZ9nUcvZM7yJNUhAw6HfJsxzjbJVCExaCWmuSNMUbh0QQV57JQYrGgVZELqrOw4But4eUAmc81jiMLSmNpO9n8ekhylxgbXA5KQcWc6jG6uIFjCdnsEdtBwTSyxFwEkKMrv+QbYaqChmBQhPHijiFKAYdBTeRoNNZ6SUKBTbI3QgkKlEoER2+NhUreHgfYnSfWRtYUu8F2nkia0lqKYNenziKiaKkuk8lyOCScnDQx894jls2ha5+n8/U6pIh4N24cSPj42H+bTQavOlNbyTP86MGBr33dDod7rjjDpRSXHnllcCR+apLF8dSSj7ykY/w6le/mm3btvGJT3yC8847jx07dvDKV76SNWvWsGnTJo477rgj9jFs99xzz+jaXX/99Tjn2LlzJ7feeit5nvPa176Wk08+mRtvvJFTTz2VX/7lX+btb387N9xwA+94xzu45ZZbuOqqq3jf+97H7bffzu7du7npppt40YtexP79+9m5cycAF198MR/4wAf4/Oc/z1ve8hbuv/9+yrI8qmll/1HtaQWD3sOuXbu5+eab+d73vse6detoNpvMzc3z8Y9/gmc/+9m84Q1vOAIUPj1NYZzlzm98ky989tPI7+1kotNFecdtYy2yY47h1Ze/no0bX8Y73vmrwzT4J+3pe997nJtvvpk9e/awbt066vU6s7Oz3HDDx3nucy/kiiuuoN1uH7HN8IY/99xz+eIXb+Uf/uELXHHF5U9ZBv/II4/wrW99i3e/+5qnPCJrLV/72j+zadOmaqJbCcCXvvRlyrLksssu40UvuuhJ9yGE4OX/x2v5szu3sG56H6cc3I8AKuW1YHSPpxPVuHv9qUycdwGnnX7GMxYIAuAc92/9Orv33UakcpxajkzWQ+tUenOPsKIxR1xXJKkiSSRJHCO0xTtFXkQ4b0msZXz5GDI/n06ZMLM4g7KCpD5BtGwVtaSNz3ei9TwqtegoTJaxrqN0HecNHkEarySOm0Q6Qqvg3RpFgYkImm4htBiawXhJHKc0ymPw6QTzM9OUg5KJZQ3ShiRKHVK5KvQpwIVFTVkY+oMMISXLV7aZ/94kyq5GpwoZVaAqOgxOhAjAoRQFCB8C6k6RppI0bof8PhcSrrVUSKUwhQns3vdNnMPEbCECuxbHMZEOUil5pfE3lHARUiKqHDupVAj5luYwoyjFEWxcYOtCZaySqsp3C4LP0tpRn1JKpA7Vt0NQGWlVAeAQYjfyMADXWmGtplarURQhbzGEjaMjWM7D1cPfDxAcSlniOA7aoGVJLU3DOKtjGfYT+hJhAVptH/rwaO1ptdrggsRQWZYsLi6QDfq0kuYRYFQpRZzENOo1ytLS63lMWaJEuD7hnHmiSBO0AmWoSNY6MHgusLytRpM0Tpmfn0f1e8RxTBqnpFENIcNC0FlHWRYsLi5gS8NYox3GoiRChcUM1XXUWtPv9+kP+kRa4a2kNBW7mZf0s1lEt0b22CmQ1/Auw5uc5XI9qxvnoZVGaF2FrN1oEWGMGTFBZVlWYtsCnMI7SaE76IZDRapy3FEoLZFKh/MxdJWREiEd1gcNQe0qgP4UrPaQdR1eo1Dooyr9wZg+IXyv47CfSIQFmhfhGs5nGeLQDMdMTRHDMxoQSimZmJg4AkylaYIQCUcr4VEIwd69e1lYWKBWq3Haaac94Tv33nsvZVkyNjbG6tWrabfb7Nixg2azycaNG1m1ahX33XcfAOvXrx+Bwz/6oz8ajX3lypW8853vZPPmzQDMzMxw7bXXjsZQq9X4uZ/7OT784Q8DcOWVV/Lc5z6X7du3c9NNN/GVr3wFYKTuMT4+zt69exkfH2fjxo0sX76cz3/+8wCcfvrpfPCDH6TZbI76X7NmzVFnU/+j2tMKBrdu3cqHP/wnPP/5z+Pqq69mfHwMUdl7HThwgL/7u7/jv//33+XXf/3XWLFi+dM2DutLPvvXn+X+T3+a8x5+iOP376NWFiCgryN2LV/JN3fuYvuefbzlTT9XhQ+emNd3330P8Od//uds3PgS3vnOd9JqtRBViGffvv387d9+hv/xPz7Ar//6rzExMf6EcSRJwlvf+lb+8A//AGstP/3Tl45uLAgAb8uWLXzqU3/FT//0pZxwwvFPfjzWcdNNn+Khhx7kF3/xFznzzDNJkhjvIc9z7r33vgqw7uUNb7jiiHAbhJ/6KSefwH950xv5el5Q3HcPxxw8wERWIL2gkJoDzZQHTzyJnRc8h3dd/YtE0TMlo2Dpwyr8bb3h4d17eHCvRsb/hUa9hYoaGFkLCXX9/dSbklhLIimqSsJG9TA3ONnF6A6xVtSjkk4/o9Y8lSQ6EVVZ8QnAFhabFYhIEiEQMgKpESoCoQMwkgWxTtC6yu3SHiETIh3ATRRHOGvJ8gzvHN5FKOnRUhPLNmvXjeObJYemFzkwPUsUpdTrMVECUjm8ECFX0BmiSDA51aY+ofGFx2UpqWgSyQhFglICpYLkSJqkSKUoiwKHw3oq3UPQMkXLtJLNMQiC84qojklUebZIgZciJMqPVviMwJzWCoGnFEdOJ75Kv/KV0PAIUFbnVVS5dXiPXLKlUhKtJN4p5JI8rJBLGP6WIoxVClmxhZooriRWrGWQF4dBaQVgh2HuAO5UFeKvPquA1BDglUVBUZSjPpa+hnmTRwDZirEMYDZCeMEgzwMjY1117JJ6rQFe4Z3HJoayLNBKB0Fub0fH50MS5qiQJhwzVWFROK+qKmhhWAVcXRMEzC/MMm/nsNZQS2v4zFFrNEhrNeIoQUodwqtQeRMb4jhh0O/RHwywY7Yi5vyIQawSFUKuYFZgYoVxJYXpked9FvsdiiyisfA8xnWDWCQgLJk0uAF0XYcVy1YzVp8gywbUaw2ULRFWIosiiJyLYNNnTBleZUlRDCjiGaLUoYsW0ulgc6eDxZ2MYiQ6jE9IhCjwVlSFR9U9t4TV1pXOYhRFuErse2lKQli8SJSSKCkw1pAqHULMUi3RnXQ4J5jPM9zBgxw7OUmsnpmeTUur6EMb/n843x29fQ3F1p8s5905x4033ohzjvPOO481a9Zw++23U5YlGzZsYHJyEmAE8s477zyklNx2221ce+21o7n5da97HW9/+9tHYdx3v/vdvPzlL0dKSaPR4Nhjj2XZsmUopZifn+fyyy/n9ttvJ45j1q5dy969e0f9CyG45557cM5xyimnjCJ9wzFs3LiRVqsFwN133w0EbeBnNEnyv9CO+gw/vEgLC4v8+Z9/hEsvffXo4ox2qhVr1qzml37p/+Kmm27iox+9gXe/+5oR4DhaJ3d4w995x53862c/w8bNd3HioQPB8at6tNVLw+SunUx2evxPHfH1tWt46cUXP6HSaHZ2lo9+9KO84Q1X8OIXv/iIMWqtWbfuGN7xjl/mhhs+xsc//gne9a7/u1qdHwkojz/+OH7lV36FT3zik2zevIUzzjid5cuX0e8PePjhR1hcXOSyyy7joote+JTM4T//89d56KEH+dVf/RVWr149+kyIsMK78MILWLt2Nb/3e7/Psceu44UvfMETz6sQXHrppbTqLf7x05/mge3fZdXMDMqWZEmLvatW0rzgWbzj/7yKNWvWHJXrcTSaxyG8AuFwOIQ3bN/1bR7dbai1ViK0C1qJxuNEATbkRQkM+ASPR/g4BMJ9CqKDkCXCa4T3KBylzXF5gXMaJ0NsVfjgQGKsxYlgY+ccISHf5gg0nhLrylCpLBRIh0CjRJjAo0jTrDfIi4LSlNWELyrw5ZEyBqFor9SMr5ki7zu68wWDrsWVAucUOhE0xyNakzH1tkLoElM6CiuxRSPkqUkffF2HnrYy5KslcUzPh9QCI0x48EtX2d8FXUKqAhBPEM+OkxpShvCj9w7cUOC6yrHyAus8xpRIEVgwayuU4g+DGeE8VDZtOg7yMbbIQ3/eESrYXQUyQt9lGazcjA3yJKNq8UrUe9h3aCHBQVSAMI4SSkqkMEeEpoayKWKJ3/bSn4UUQS8xrryZvXXVuRKH9yEOexKP3vciyLaEb6ClIolCKkhRlJVbTLU/KUijFCqBcets5cMMA9+jO+jQqLWwziKtIS+KYJXnwBoTbPJ8KDwZsrbe+dE6KVjehaKbLBvQrI+R1lK6cx1qjQb1WpMoDvlzugKD4Zw7jDqcx9j3XWbmD9FIU5yLQ8i9uu+NM5TkzJTfpWt303V7yZjDiAG2Lolr4yi9hkZ8CnU1hvKahonIo4z+oMfcwQOsHG+yZ+tenEoplQShkN4FiRcpqgpwR2ZyclPQy3K8TGH7mfhyCuc1hS4xrR71tX0a6xzEHigodHDbscqE9Achq/ucJdc9sNBxpDEWjLFHMN/DX6fynrE4oY4ncp5IaHSkkTpCISvXlwLvLDNzs+Sz85x+8klHWN0903IID89tT4+YsveeNWvWMDk5yd69e7n11lt529veNvr8q1/9KjfeeCNKKd71rnehlGLLli147znrrLNIkmRUDey954ILLsB7z7HHHstv/dZvjfq56KKL6Pf7PPjggwBcfvnlnH/+k+f8f/KTn+S2227jta99Lb//+7/PxMQEF154IQsLC1x44YUAo6rhc889t1okuBHwe+5znwuEQqvvfOc7o+riH5f2tNE9t932VVasWPEDdfKiKOJNb3oTv/qr7+a+++7j/PPPO+rjcM7xxc98lmc9+DAnHzqE8GCED64GVdFE5B3Hz81w/kMPcNumW3jeC15AvV4/op8vf/krnHTSiaMqpSdrSZJw5ZVv5pprfo1HH32UM8548tDqcccdx2/91m/y4IMPc//993HLLV/krLPO5mUvexnnnnsO7XbrKfdhjGHTpk285S1XHgEEv7+tXbuW17/+Mm655Rae85wLnpDT4FFI6XnpxS/mWc85h+98537u2fyvPProI7zkJS/morPP5PT164lVHPT4nnJPP9wWgOCw7Kdkdu6bTO//Bnl+AdL2wQQ7KVE5gTjryUpPYUIO0WJvkk7nZKLY0p44RKx7GGMxzmFcjsmhmzms7aPLUJUq0IChtCWyECzqiEGZEZWSsvDgM5QMQKYsq7H54Ss4iXghsa4kLzNKY7EOvD/MiHkCK1EWAchFsSCt1Wi1Gwy6hiJzmNIjpUDFoKIhE6WxKrDcxpZ4bAj5IdBUIMtbjCkQeKwtcH4YDjtc/RvCsFnlXSywpcNaQ2t8klqtiS0s3jgMDuXDpBiYTYc1hoIwmXoftBGNNRhnsd5jvMdQ5RJaR6s9RmEMg+l+lZPng06id0jvkJVm33AhNdQBHFm9jbyEHXZouRKoM5wLFnpD4eiRbMsRr3BOhm1puMyNgGhxhJXc0u8sLTY4LAszFK8KDFtpDVmeB0Big3fxsA/vPVEUB2bQg3ImsHMCcJ5et8cgGxCLOAhve0dZFECIqpTGkJUlg7KP9SW2YvSMdxgX7vm8V1CLm4w3x0iTlIXOXCiCqNdJkpRID2VcDovve++QJugeCg++buksLNIZdJEyQZYGERtMaSiyjGn/r3T9/ajaPLrmkUqipUR7h3d7mc0fYXZwNxNuAyemL6QerUSmIRc1u+8BZv71Dmpzffpjk6TPOw/WHYePaojIEcUaZ4IneF4ULA56lM4zoTbQyMeJdIIUHqwjnzEsHpqm3D3HqnNK/PgcRjikLBAyJL94Dl//pdfROYexbuRlfeR3fMg3N4YNJ53EeKvO7tl5nPAoranFQXQ9LwtEZunPL7JuYopaErF3eprVq1ahw6oM8QwEhMM2BIXeH11AOD4+zs/8zM9w3XXXcc0117B3717OOOMM7rrrLj7+8Y+T5zm/9Eu/NKowHjJwF1xwAQDdbpeHH34YKeUIdF188cUjI4bhddqyZQudTodly5ZxwgknPOV49u/fD4RCzlqtxoc//GG2bdvG+Pj4KBfxwQcfRAhBo9Fg37591Ot1Hn744SeM66GHHiKKIp71rGcdtfP1H92eFjBojOGee+7hla989Sgf46lakiS84AXPZ/PmzU8LGNyxYwfZ9u0cP70bQZgAtA81mbqaQwzgheOE6T1s3rmd7Y9v54wNZ4z6KIqS++67n5/92TcAT/2D8T6YoT/nOc9h8+bNnH766U+ZsxdFEeeccxannbae73znXl71qldy6qmnHNHXk7VHH32UOI4566yzfuBxCyE4//zz+Nzn/o7du3dz0kknHfG5dD6E/oRkcmySl7zoxUxOTHHo0AyXXXEFWgUrMMQzrDJOWBwCgWHQ+RYzM9+gOyjpdgw6mUdGGiFV5TscWKU8G2dufj9Zr0+zeTInnfxivO2zMPs12q29mFyQl45BLjjYTzgwXxCrfURJHaGiIJlhPaYscMUiThfMtwtiFfyNbVwgZY73UJgUawqUM3jTxCkfmLNCkGEwZQ/nLbYM84yrWC7nNKXPca5HkRmsk8zPdsgzh5I6FHQoMAZc6ZhfMAjhqTdSxiaa9BYynOwEQFZ51HonKw09Cz4jlwXGlsG71vrgeOI8zlqMAW8rJw1vKFz4rUyOj7N69Sr2799PaQxJaUFajCrBeaqfFM77Udh3qUevsxZhHN4EMK2UZGJsDClg365d5LZEWYu2Dml9YOH8YfmcIYMx7M+6cGxDSRhlHU4FUBaYNEFRhlQKPJT2sG/w8DXMTQOOAHtDjb2iyMnyPkpJvBcI5BLgZ4/oZykgdD6MQVgBlX7gcB92yf6dqxhXospmL7DPzllsFKOijE6/Q6pTvADtqmIWPIXJmV2Yo9vvUBQZHs/jO76HjmPqzZhGM0GaAc5ljLdWUEvqRHFEp99FJ3GQb1G6ymcdyrgogsSMYRi494og95NEzC3OkUZNZGTwcUE/7zDrH8dMPUxt2Rwq0cgYtKxC+UKNBKPLfIHZ3rfo93dyav3VTNhTcXOL9L95O2v7XcZ1wsL0AfbfuQXTmEA0BatOPIZj1h3P4twM2x6+n8XOItYpxicmqTVbwTdcAyic10TWEpUR3UMtpu/Zx/LndvF1RfVkD9I01o1Y6Ce7B4Z5vEcuHhzOGjCGZprSSGuksssAoCxZnJnFeE+j1QIpmJ+dY/2qtaSpZvf+fcwP+px24knoClwLMdRxfWa0rVu3kmU5N998M+ed92wuueQSoig+aqFiIQTvfe972bVrF5/97Gf57d/+7dF8WK/X+c3f/E3e+973jvJPH3jgAYQQIxZw9+7d7N+/n2OPPXaUE790Pl2qC+i957TTTmNsbOwpx/Oa17yG6667jo997GN87GMf48wzzxzlFQ5D2StWrADguuuuY9u2bXzwgx9kz549rF69mmOOOQaA7373u8zOznLqqacyNTX1hOjfj2o76mBQCEGWZXQ6HdatO2b03g9qxx13PI888pXDOW1H8cTu37+f8W6HWmnAi8psLUiRyBBoxAPaSxqFpdFbZHr/fjacuWHUR5YN6HQ6rF279geOLdyccOyxx7Jly11PCQSf7O8f9L1h896zf/9+VqxYQZL84Ool7z31ep2JiQmmp6c58cQTj+jTy8BgeUCK4URu8TIwSAJZgUWQz6BkaO8FYOj372Bh5mv0BgP2zbWZObiHpNEgisaQSocjcwZnOyi7yJ7dsziTccbpFcCgQZE7+irDlp5enjE3LyA6kZNWGSgfJTcRhUlwXhHLgtaEYaKdE/mCxZlFpFe08NSMRZPgkGSmTy9XiMig4wxlVgOdfgAAIABJREFUYpCS0md4H2FEFb7yJdaWWOOwxpGbEpfspdn0TO8eIKSk3pC0mpIoUqFackm+jzURpoSs79gzP4vLoTHVI+8cwpZNXFxgLAgZWBFrXZAK8hWosiXW5VhTUJYGWXYpDZS2oCgG2H6fZGDIduxh3MK+bo+y2cAmCVZFCCOqELoIeo3OhPDpSGfQhDCfKbGlwRQlZb9PUjq62/9/9t402LKsuu/87eFMd3xzDi+zMiuzJmrKAgoXk4BAUjcUQggLTEeoFXKHwRHyB9o4LLsjGkfog1pyWB3qCCvcRo1BbbUCkBACgbskKAqrJoQYRA3UnPPw5umOZ9pDf9j3vcwsoAC5ClCLFfEi37t577n7nLvvPmuv9R/O42tDXJSYPKeOJ0LOE1ygnTh17CZTlxM1E9qkk+PZKhzbKo0RJvTi64k3srwiEbviZ9eDuCxLhBBXVBwNUkrqsmJjc40TJ26n0chYXl6l3m3NWosxds9tpCiKCb6wxhizhxvc+4wmhIQr33v33zRLUUTUtSFUbzVS2kBuiDT5cMgwTshchtYRCNjub7HV20JFgjiJaCZNpJRY56lNQdaKOHHntZjS8tjXnoE8sIOlEpRVSaPRQk6wbnKCjYyTiDgKvr1lWe1dayUtWmqiSDMeDhnlA7w24Au2izV6019D79smaihkJJDao6RACh/WFS/QThBrj40gT87y5NanOdH8JcZry6SDLbqtaToHFxisblI5z9raRRiNufHOO5jZtw+RSraeXWO9WuPa2TtotZukSYSOkmBXKADvcEYQywbaSTa3ajaeWqdxosD6CqzC+npvA+Gsw8nwY4y56nN6fgXaTeRyhkXB4888y8zcLE5obF3z+JOPo6sKKRUGyb5jRym95dHnnqGdpSxvbkKWINKEGxYPhe41MNlh/zCWyu8a3nseeeQR/uN//D2qqub48WP89V9/jaeffoYPfOCfvyi6trvfg06nw8c+9jHe//738+CDD5LnOceOHeNnf/Znr+psKaX4jd/4Daqq4sSJE0CoLH784x9nfn6eNE2/7Z64my+85jWv4ROf+ARHjx59wbHfddddPPTQQ9x7771ce+21vO1tb+NLX/rSnj6o957f/M3f5LbbbmNpaYk3velNdLtdPvaxjzE7O7unADI/P8/HP/5x9u3bN9ET/f9HvGSYQbja2++7RWgD2Zcks94DAXtPUBgMO3DYxQzuJocKN/lLcKXbhyPgi8SezMT32gUIwRWaaD9IfPfq6fPP6cp203d7n93E9Erw/FX/T9ithh7GZOBIhAvCxruP+wmm7ccnHOPR19jY/DyjYcH2eJaFfUeYbz5C2tR418Z7iVKCLHVk7RpNzVPfdCxv1jzx9ENUZYYHWt1V2qbC1IbtHVgfHqDR6TClv8n8vKXVaKAji9Jh9ngHdV0yGmusa3Lm0phGb4qpbkWmKqwXDAvP0G4jq07QzxMSIUMVtjYFQniED6QIa31ouVU1hVmlfWSJUdVHak+rEwUdtUSgdIAgCsmkahZaudo6VOKpRjFja9GzOeX6OYpiARnFgRACWGdAudCqmmjBeQOmtlR1wbjcAraoTE5Vl9hRhegNiXcG7KxvI4TkiM4YjgryNMdpTVOGGWtFkF0RWuHVrmVbqKg4YzFVRW4MVZ4j+yPSUUV/rY8XMIOj6I+xOsIKiREeP8Eu7pIydsNaEypnxmArgykryjxHWIdRUZBGEuDREymXCTf+iipeXZu9JG44HE6qAg20jia+wZL11VXW1le4444g6+R98Ku13mNMNbGcC97D4/EYKeWEkXy1V+leVRP2nC0ui1MbOo2ESCSMRmPq+jK5RYjAlM6rMWsbNd1WF6EkWztbeOFptlskaYqOIrTQe9/NwghmZrt0pjNM7Wl2Giyt7jAeVSTNYEMohdjDzwW8nEBrRdZKJ7aGdm8sTMg+CkVZFKxuLNP2lrLxHIOpr6H2XUI1IUpUEH3WCiUmCZoIVTXrHF4qrBI4CZVb58mdz7G/dQe1zqjGI07Vht4b30C6sI9Zpdke9Dlz7gxx0mZ19C3K6CzTU4dJGylR0iSJUqIYhI6RkgCBkAGGYbC07TQb56YRh0/hOxYs1FWNqWqMMpNE2IS1zbur1urdTYy1YdNhakNtLEZKlnrbuHaLZlPz3GOPknkXdClVxDDPWT57luO33spOv8/6+gbD4ZC21lzc2CBWmuP79082Oz/6RNA5x5/92Z/xzne+k8997nO85jWv4ed//h3863/9v3Dy5CluvPGGF/U9pZS89rWv5bWvfe1V968rxxTHMe94xzuuenxxcZF/9I+CAcR3InTuPnbixIm9BPJ7xZ133nkVzu8XfuEX9o7rvafZbPLe9773qnHujmE3Dh8+zDXXXPOCHc+/i/GSVAbTNGV6eppz585NevFXfohXAr7DRDh9+gyLi4vf5ztc/frvFQcPHmSr22IcR3Sq6kq47KQ6aMKNHk8/zhi2WxxYPLj3nEDKSOl2O5w/f36vXP1C4zlz5tReSfkHO6fd3797gre4uMjKygp5nn8brvGqI3rPYDBkZ2eHffv2fYfE0e8RGPaOT0g2Ah1xt26ofoQb2dBW8d5OmK6WXv+bLC3/BeWoYLOeQ8QncL2nOTRXMzXjyRolUSzQUuIRjMcdynHE/MKQ9S0Jdoa1jQ2UStjcbBI3Olg/ppNdz8GF28iLJ2lnjjQTNCNJlLngYUqCqQ1Kljjr6LYzOt0WO+MbWDm7Cm6AcRZjNFX2TfpVk0gloLcYiw2c3AFZIGQNXiNFF+m7YOcpKoFsn4dsCe9qmp2UrCGIEomIQWpBbKZJ68N4UVHEZ3FRjjEE9ioWR8w4H9I6tEr/mVNQ3kgdrSPEJk5t4tQYsAgi8F0kM2BmGBc1Q/Es++YPkNdj6nGF7I3pFJaptInQEy1E5xnh2B7kGCmpHIjxmEarzVyny7AYMzLghcJ5A6sr5I88SjXKUQcPkkx1mfaaVqaJpcQI6FjH0EJvOKZUGo9E4XAKtBB47QNGFPATvKExNUVdYsYjouEYhaSWBTIJCbfDoQUIoUPSjJu8LuglFnnBeJwzNT3NcNBnPB4T7TmSeJwPSgePPPII3W6HPC9ptdq4CfGmqiryoqCsSubn5hmNRoxHY5QK3sG7x5BSIZkkqM7hfKgqVlVNWdZYbUBKnDVXEGLcHpCzqiq2djbp97bxEpIsY3p6hjRrksQpSkXB9WKXEKM866vbXLqwSl16Vlc2abS6UEuG/WHABroJNmwX37iLmavMFTZ0EwwmbrIWeMq6ZDgY0I/WsfsfINm/RdSURLFCxwKtQEWBeY4Se8QhaSJsXOOlJQ74AcblcwwOHMDfch3fevYk8ZGjNK67gbSZkuERzYTnTj/LM88+gU4MUbyflp4njhQickEyKfYkUYRWisrWgMJ7Q2xq6kgRjWcYrUl0wyNsQV0a6rJCq3qPSBIwhAohrk4Gw4bDYmtDXVUUZUlZ18wt7CNpNdnpbzPc7jO9sECj0SFNI4wzjIqcvBjTnpslzlrsPPsseV6g4ojza2toJblmfiHccIW/YpX/4S+u1lo2Nja4/vpdWJKg1Wpx4MAB1tfXXvRkEK5mMX+3Ct/zn/Odkr8f5Ljf7zie/+8Lvd8P8v9/1+IlqQwqpbjzzju5774v8brXvQ6tryzdXs1iGo3GfPnLX+af/bNf/X7fYe84389YDh06ROu6mzn19ElmTz6LssF7l9A0w7IrVCo5efAAybFjHDl69KqxRlHEHXfcwX333ccrX/mK55WiL1cbAba3t/n617/Ov/pX/+pviSV44ecfP34cKSXf+MbfXMUS/k7v9ZWvfIV2u/1dEtPv0IYGvNyVF5Df5Vk/rLgyKQ7WeBeWn+Dxxz6LFwrVeSWydRNmtEaizpM1FUmckCaQJBFKZAwGTeriNlrta5ibf5LuhcdJm9fS7naIVcp4NMXadkZ3usUtt72OZnuKlUs1pjpFrCpU7FBxSqzbgEKIIUZIVK2IEkGUFbQbXVpyFm8KvIiJ4hbbl77E5tKj9NUF3HSOnBqSpBapQcoAVPUmos41ZtCiTBosHC5Y663TmmmRpREqdahYoCKHcinz1U9xU/cfUbshTxYfZdD4Bk55hAxzL8VjbYTsbNC5/hkG6xfJugOS7hCZluhdgVdnsbWmKjR2q8PQSKYPDXFxQjUYorYKZkpLO07RkUJLgRcSnCWzFuUt64Mxa9s7FMMhN//UGzm0/wAbWxs8/txzOCFRwx6bf/Ax9l06S1toNpIW0+98G4df91MM1reIypqGE1jvadSOdLDF8qXz1EkDcXiBursAtcOaHKzAKYGMIoyWlMZg8py0P2bBSXquZjTuY32D2Fq0jScdADupbDuMC9IkeZEzHOQ0my3anRZTU11WllYZDAY47xiPRwyHQ2ZnZ+j3Q6JYVRWrqyu02t3geFJWQTi/O0W73abZarOxsYYY9nCuOZHS0KHtPek/eO+xrqY2NUVZMhoVtCkmdnSXMY3heQZrHVpFzM7MsLaxStrI6HQ6ZGmDJA6uMqGaedn1RWlJXgm++ZWzWFuTDytEUjPbniFJgu5iWZbY1GG8RXpHbR2irHGWCWbOTqzxQmJonKN2BmMtszOzyP077ExvE6UCFYGOgvuH0mJP5zHY5gmct3hpwGgQFpzDx4K4ZejnJzn+372T5bl9iIOHibOY9nQb4TzeOHaajtXyK8x2F/H5AkpNZJKERkrQMiJOI9IkQxYF1oyw0k3kYyKUSKm2HeqgxRrHeDDEFyOEUAH6QsDJBlkgxdWVQYs1dUgEi4LxYECsI5IoDhXpqqKsK0ydY8cJIyuo6kDikWhqU6O9oN1uBhs7HSRmziwvo4Ti0NzcRD7J7a1tP+zQWnPo0KE9lizA+vo658+f5/Dha1709/t+E7rn//2D3Dt/kETwBz3235d4SSqD3nve/OY385d/eT+f+tSf8K53vevbevlChMXpwx/+MNdeey23XEHYeOH4wQC4Qkje/j+8m0+cepZuv8cNq2vETmCFw0LQzxJwan4f37zlZn7x3e8mS9K95Gp30rz1rW/hgx/8IPfccw9ve9vbrmph7X6h8zznQx/6v7j11ts5duwY8P3vWL6f2E20f/EX/yGf+MTHOXz4EEeOHPmO73Hq1Cn+9E8/xfve9749N5K/W7GbZFsQgs3tdR7+60cQzVvIZhaRyRTOSfLRBt3UobVAa4tWEUJkPPvcNufO9Xnlq+6mNb1AsjPC+nPEcUyWNWimGcbWpElKvzfCGBDG4i2hJ0tos0qh8UIjvApadi5CeJAWMjdAi78iiWviyFFbwcgkaD2ifbCi3S1J2hKZQaz95MYTNiPe10TGUE/VqHyD9WGBTlOSTBLFBmKNiBURMReeceybOszMgX0YO00rP8JYP03sRlgsOEHkHEkaMdguEa1VOtNq0mYGqZPQZhYGHFgriIzBtddQMw7jBaYsYbDFdB0xFcVEsUZEgbgiUeBC0jJtDKq0XLiwRCEMW+trtFoZg60d3NllirJg+7Fvcuj8RQ5028SNBtnaNtvfepJDv/xLXEJi17dQPtiFVdUO+X3/lfTMc3gv6B/aR/ZTbyaPGqQu4BxrYfBI6izGpzGZ8cyLmHYS068N/cGAurIIV5CPLC4PTGOtFWkWkXZirCwYVzmtdoe56ZmJlEuD9NqEc+fO7zmS9Hs99u2bZ2pqCqUU4/GY7e0dxuPxXqt3fn6eqakZhBAkaUocK5ZXlqlrRyPy1LkjH5dUZTWRFIpImgk6leT1EOsMZVEghZ60sD3G+D3sYl1WtBpNhoMBznuareCJq6OJG4i+7KYhRHB9qa3FlhXWl9QYZOQZ5QMWphZIU4X1FtN3VFWFijVmVx7HsSdRcxnbaDHOBDeRskQJxcLcAkVzhVGs0NqFeaEkUk9EnXVCpJLwfQEMFbUogEmVUHuUBhUJqniFnXqVcmaaWuTMmYIqD7ab3ta4bJvG8WUG7jRy6Riz/nBwa/EB3+B9hHOXyT+77xEi/GsqhytqvHWBnd3bRAoVap7WXRZjn0j67B7DTDCdZVEwHo7I85ypmWkqG5LmRpKhypLexfP4g4BKqAcb1P0x8S0NRqbG2oq41YTNLXa2t+ng8d7yzIXzIODw7BzSi0mF8ocPIxRC8J73vId/9+/+d/r9Pp/+9Gc4c+YMb3zjGzl8+PAPbyA/iR+rUL/+67/+6y/2QXfZsjfddBN//Md/zKlTp9i/fz/tdnvPgPyZZ57hwx/+MMvLS6yurrK5ucX8/BydTud7lou/3yiKgocf/jJ/+ulPUzeaXOpOk+PJcoNyBiclO1mbx48c4asvv4O7fvl/4md+9mf2RGivjCRJuP766/nDP/xDLl26xP79+2m1WgghqKqKJ598it/7vQ+zubm5p7y+b9/CVaLSzz+XXYzKffd9iTvvvJOZmdnvytPw3jMej3nggQf47Gf/DIAHH3yQJEmYn5/f8zDu9Xrcf//9fOQjH+Htb3/7VVI4L8SCFkKwurrKt771Ld785jfv+XX+qHZQQQ9wlyyyzKNPfJKsuUQr7iP8COM9tUvIexeYjlfotFKSWKNjxU4v56GHvsXmZkUz3QdWc/rM11ldPUuWLqBUhLGGohxSjjdpdc6ysXaSi5c2WNv6G7qdLdIkQskMpASpgCDPUtuKvKxZXx+QNiSzc4KpNrQbMc2mIMtqnl59htZcQtaFpCnJYogTRRRpdCTRkQyuCTpUWJQGISOMrclaEVmiiLQk0RFVBae/vEV8WrM/O8Lm8iXWVx9GLA5xyoCfeLE6QzX2lLkha2mytiJuQpx54tQTRWKSQAikduH9J5VHZwV6q8V87xjTWYskidCJJotioigmVlHQGpSBTBQZz2hjk6ZWjDY2GK5uUG/28c7SswX18kU6qys0swyRpOT5kM04JrruOBv9AS0ZkeoYDWw98jWqv36Yw2nCVBSh1zcwFvYfP04ry2ikGe04IhUaWdfU231aTjDdaKCTiObMLOMCLjy7ymAtx+QCWWmoI1yuKHqGrfU+o0HBoUNHmJubnti7BcHoqioZDgc0Gs0994vp6VD1azQaVFVFWVY0Gk2yLMM5R5LEdDpTE+cSSRwltBtdNpZ2WDm9QbFtcWOFtBpfCqqRY7A5YmtjhyxNuO74cZYv7jAaj6nqIPVjnaGqS8qyoMorGlnG0vIlpFRMTU3TaDSJozSwgaOYONYkqSZOgsPN2tZZKrFOs2OJU4HzFeNRQbc1RxK38M5jXE1ejNBaIiST8x0zHPbJx2NqUwWpIFtT1QVFkdPb3qbd6HJo/yJFdpG8+yhR5kNlUCt0pFAqIopaJKqDlh2UDJZ3bqJN6b3dw6o666grT9Vv4nsNdgbbJGkbjKbMSwaDdcZ2iea+DaKOwduYeHSEZtRF6wSl/C4raoK/rPdIQXVdU5cFm8UGw+6TiM4IVwqi4gQ7KxFlUQVcJhMWv3U4cwU+sKqoipJ8nDMaDFETYfFdchBCIbXCnzzN6J7PUw22KVdXkd/4G9T6Ju1XnaC2JabMGRclznvyPKcsCiDoce70erSbTVpptrfWPw+t85LGboFjenqaV73qVTz00MN7ahP/9J++73ldvJ/E36d4SW0lDh8+zAc/+EH+5E/+hN/+7d+e2Di1GAx6QBBx/MAHPsDGxgb33HMPv/Vb/5ZbbrmZt771rRw9evQ7kiV22xlKXTYYh6sTrX6/z8MPP8wXv3gfcRzz82/7OV75ypdz6uRp7vmTP+bJp58l6Y9AOOpmi87x63nPu9/JiTtfEZT7v0scP36cf/Nv/g2f/OQn+a3f+rekaUKWNRkM+ggheP3rX89b3vLfs7S0zJ//+T38xm/8BrfffjtvectbJzuuqzWurmL37p1n4HJcWcnr9Xo89NBD3HfffTSbTd71rndxxx138OSTT/KZz3yGz3zmz+h0unjvGAz6zMzM8Ku/+qvcfvvte9fm+XHl8b99HN+ux/WjSAo9HlNtcOHiHzM/e55YaYSXVNU2vfwkG/l1mLJmUENhPBQxY5PS69UUpkFlCr7xzf+HbnMKK8ZEmWRzu4O1R1BKUhXbdLtrHL/Rsr1zmiefXqKwMaRdnlvvYKomBkGsoJlaZqdSZjolg801GklMu5OSZjFRFESMjXNEztCYayLbNVEW3DCiyKN2CSC7umdOYS04bSbYL0AkjIY1WStBaYnxnmpsmHvO0Xn0m5y//7dw1lC48xS/2sCc8ESJRAmL8TGjYZ9mMyZrQpQqVBw03aQUez653ivUhFlpjUQSI72k0cqIdoJ8jmqkKBmhopgkTVFCUdcltoLKGM5uLJE0Ew60O2RZRhrFjJ1luRjTmJ0lefmtrD71NMl2D93rsSUjqqPX8NT5C5TesWMFty4eRyvBzqULxALidgepIpqjEcPxiE6cQpyCCJhRpz1pHZEi6Y9H5LZBQ2asLm1x7pklEj9FM20GORSpJuSCIA5eu4RxNebSc6u0G8fIphNQguFgyMULF2k0GjRbreCBPGkPDodDiqKgKEqsdZONrEIrzXA4YFNvsf/AfoSTWCc4e3qJwUpBJ54jVY3gCiIDPc1NRLlLM6a33GdJbTAY1hN4oN+r+CslKcY5zaSFrSoqU5KkGUrpPdJH+AmuI0ncIGskrO9cIq93mJ5r0u50cN6ioiHj/g7jqk+Zl4xGoSIpvWTcH2H9gNrUwdZNyj2ii3UOJSVCCoajIcV4zA1HbyGKUqyze8LNYhdazMT5RYTNU0SboEZpUKrAuXpCWrGT1wmUdOTVJvviG+jKDluXVujF20ipacSS/elNDJ9qwqGniGd36K0uM1UtBLFyGYE3AZcp5FUyMXVdU9YVw2IJ5aBem0IUMQ3Z5ZZbb2VzY4uN9XXG4zFZlhHH8VX+uM65veRyYd8+ut0uRZ6zvLTEqN+nYT1kEWp+hmSqQ6fRxDUSXKOBOHSQga0xlaXMK0b5iGa7xcHDi+xsbLG+vk4ejxnFMV/+5t/w+jvvZL7b/ZGSi+fm5rnzzju58cYb+fM//3M++tHf51d+5Zf3Cgs/aaX+/QrhX8L+4ZWH3tra4tKlZcbjEd1uh8XFRTqdzl6i4Zzn4sVLfOELX+DrX/86N910I3ff/TaOHQt08V6vx4MPPshjj32LXq9HFCmuvfZa3vCGN+zh6AaDAV/84pd44IEHaLdbvPWtb+GVr3wlSRTYihJPZStWltZYX1vFO5hdmGFx8RCRjgNhQgRW8Qudj/eejY1NlpdXyPMRU1NTLC4uTiqFexhwzp07x+c//wUeeeQRbr31Vu6++60cOXINUkq2t7e5//77efzxb3Hy5Cn27dvHzTffzBve8FMcPXoEKSU7Oz3uvfeLPPzww0xPT3P33Xdzxx0nrrKGq+uapaVl1tfXEUKwsDDPgQMH0PqF3Vx2z8U5x8mTJ3nwwQd5+uln2NjY5Prrj3PixAle//rX0+12f0SJoMOaLc5f/BOEOEkaaaIocL5rA3VRs7YT89TpFsaUNLpdatPE+ibOQZkPqasRkVjn8EJBK65odzXnz3qGvSYyUswvaG6+WRBrS2/geOJck6X1WXTawSczRIFGjHcCZ0swYzKxzVTjEtddY5jpWLJMT3x7FcYZSlvxx6fuQzYscaKQyQRTFUmkmODIRKiYGOfwhgBWLwTl2DLs1XSmUxIt2d4e40eK5kdL7rgwx/6FA1QWVjYv8ORbB+SvV6gWTE232NkaUeSWZjslbTqiOJpUHSVSCYLhxgTDZj3OBKeQupSYwtJZu5VDF99CnlccXthPljVJ0pSs3SLSMeVwSF6MOHXhHBeWljk4t49Gs4lJNQ7Bejlmy1RMt9o0s5jBY0+w/fWvIoYj1HXHOPj615NMzVLZkmFvh8X2Asc6MzzwR39A9I2vsqhjhFCsuhz/ujcxdddPUcog+isAjSR2Dl/VjIcjqqrk+NHjPHl6g5XNklY6RRKHBFYJDdLvfQ+trTF1yagYkc1E3P7aG3Ha8uyzJxHG0um2SbMMay2PP/4YAs/MzAxKKfK8pNlscu2xY9S1oaoCZnA8zrn++uNkccr5k6s8++hZWqpDmjT2KoZCyMCOnmg51qYiL8eMiiFzhw6BCFZmxtSUVUle5HjjmGnMMhr1OLt8iiTNOLD/EJ1OlyxtEscJcZyQJDGNrEGSJVxcPcnqzinmFrrMzM7jXM3m5gar53vIok0zmgrVXhWxK1xd1DnjcoiKFUmWgRCTMYYWaT4OyXAzSjl84Dq63RZL6b1sHPoYcbsmTiU6DnZuOo5J4w6JnCWijcdQ+C1Ku0NdjTGmwFSGqvCUuWXYc0Rnrud4/VayuAsiuOgo7VFRC2pDUfXZcBexhx9nPFTM9N7EVGeBRpIR6SjMa6HC9bMWU9eM85ytQY/N3ikas5ZEzYJLSWYO0Ji9Bm8dS0tLe7JbcRKHRFtOdC1tIPjY2jI1M0Oz28aZmsHmJtQ13U6bQZ4z7g+ply8yM7OAiCTFcEilNPHBg7SjDJxle9ynNTVL0kyp8oL1lVWQkjRJUbGi28i462W30E4SnPhud5yXcH31MByOqOsaCBCnj370ozSbDd73vvfudb1+En9/4iVNBv+2sba2zhe+8Hnuv/8Bjh8/zq233sY999xDmiYcPXqEVqtFXdesrKxw7twF7rrrH9Bud3jggftZXFzk537ubdx22+1XlLwDYSRYaVyxFdsFbHjwQkzYs0GG5m8f377VW15e5i/+4vN8+csPc+ONN3HDDTdyzz330Go1OXLkGprNFmVZsrKywoULF3nd615HHEc8+OCDe3pIt956y/Nwiv9t4X2wyfrP//kP+MpX/oojR65h//79RFHEYDDg7Nmz1HXNP/kn7+WOO+7Yq1a+FAvE869YqJYUnDv9Fwj1VRotQxZlyIn3rXGWIhecXkp47PQ0tZ8jabTRUTJ5TrjJeuPS7zQuAAAgAElEQVSw1RhTL3F4epObrhnQ7kSIXIGVtOcikBW93PHVb3W4sLOfJJ0jTlKkCjf0wDr3eG8ClqosqfJNZrtrvOqmPvu6ljhqgZJY61jtj/n80v+LaFp0HKGT4FagtELKaKIV6HHeULsaZ8DWgdFZ5ZbxjmPYryAWNLOYpo9wv7fNy56dZ197isIbVscbXPwlT/XqiLwsKYvgnNKZbpC0Ic4EsdboSAX2pVITizwRTN9shbMGW4OpLHXlSVZvZ//SW3A7FdPtNnPdGbIsIUlShNKUVUmv3+Ohr36Fqdk5su40o0RSxQoZRfhYI6REWh8Elusal48YbmzRmW4zPzPP7PQseT5iZ3OTyMKJhUM88tg3OP/AXzK1voOZaWNvu4n41hP4ZjswmcXk+lcWX1fExtIoLWanz8LsHJt9zda2I40zkkijdBKwbGK32hUcUay15OWIYbnNsVsPoTtw/tI55qbnaDSDXEsUafLxiCeeeIJebwelFPv3H+BlL3sZSutJMlhTFjm9QZ8si1mcOcpX7nuEyCdkSStYvOlQnQzJIJcJGcZQVAV5WdCZnyZO00lyHhLFcTGmGhe0sxmkd5y7+CyDYsy+A4t0u9M0sgZxHCpaWmvSOEapiK3+ChdWH+P4TYe5/oabqeqKZ596krVzfdpqkVbaJdYKqYJslHUhAc3LMYNxn7iRkDXSwJg2wcElHw8Zj8fMtLtIH+NsTX/uK5Q3fo64XRFniigOlW8dR+i4RSI7KJHiMRg7wpgRtcmpjA3SLmVFPnYMt6F18eUcqN+EEDGtNGEqaSKkw7ggI2TqkmFesOqeQN30DIMzs8zVr6KbzRDFCVprnCoY+3VGdp3c7JBXI0aDktnkWuZah2nIKZyMyVPNVlFTFiGxT7MsJIJaf1tl0FpLXVXk4xyPoNtuEdWGW45dS6fZ5ImTz/HIo48wNz3NdLdLHEUMB0M2t3foTE1x1ytfSZbGPHP+AhtFSW80pCwKGmlGnKUBqhFpBDCdZtxy9Cip0lctgHvr4UtYNazrmsFgdNVjRZHzkY98BOcc73//+5mauizgLJ7Xyw73gsuPvRQawT+JH268pG3iv20sLMzzS7/0S7z97W/n93///+aP/uiPePWrX8211wbLmN0Jd80113DzzTfz4IMPk+c5//yf/8/ccsvN3yFpmSRRzwdn7P4trqT5/7dO5m9//f79+/nH//hXeMc73sGHP/yf+NSnPsVrX/sarrnmarDu0aNHuPnmm3nggQdxzvFrv/Yvue6666465xcrnHN86EMf4tSp09x99900m5dlag4cOMANN9zAqVOn+N3f/V0+8IF/wa23fmdrvRcjnp8IApw5c5HlzS0OHYpJIkWcarTO8FioDBfWFY89N4fMFmk1UuI4DUnPxCDeT87R1ClV1eLCYBsunOcmLnHqL56j6JUsXNPm+n94gkc221zYOUTaDMKiOoomrTmx27PH+5hIW2qlkVqz3YNvPgU//eqCRMZ4EVNZxzefrHEzDVTUQ0R1EIuOFEqnRCpCCoUTwerNG4kjOHl4DVJq8nyEii1ZJyJJQUYC89MZz21sMtoyWGXYOD4mfsUcrl3SjEOVJHc11li0ilFqUhHUEhlFaJ2gRRSSQe8wQmCFCAxPbXFW4pOYXqoh8wzyEbLRYF5JrHdoIamtY2Vnm0Iq8jShaEhkp0WaZqQ6QsiJZIf3wTe3NtSNFKcjKGtsWTPq9yhMkGfJRExpHM1D16JeU1NFErkwSzK/QBKnRFojlNzbnmEtVV1TFzn93hCbRWxtrdGUc+g4C5+Zjoh0jNJBZ9JPyBGhpSmIXUZiLOdPrZLMiXBzjqPJ5x2S5kajwezsLK1Wc28OjEYjpmdmcA609hgdkcQJ/V6fqneBsrQ0msmE2BHtETx2N29hHgY3jNhLnFOUeUnWaCGVAmXC9RMgXHAZWZiZZ268n53zJynLIuDirENagzDhuuAtUlhi1cRUEUnUZGamjaktZ2iSSk0znSZLErSWSBlNklMzIZ+Eb15/3A+YxDhCqgDBwTuch9E458DCDNbUDIXCGE/kwrV11u9pSvq6pJYDrCxwOKwvsa7A+BLn6uCVbAEjkOMmLt+H0QKpFJvjHGMNB2fnkM5hq6CBmsaezvhadnpnad9yluWnaobDG2lk05TJEiNxhjI6h08HoAVeCNycYqN6gp6ZZV6c4EDjBIN1xcg6pqanabaaREnwZQ7rhdzT/nOT6qCOFEpr8lHO0qVLxM5x6/FjCKnDd9VYIqmIdUSapBSjHCEExTifVBo1IOnt7FCYmnanQ5aGuSa1mpBWJDme0ysrXHdwkViIPRTRDyOf+k41oFarya/92r/kIx/5KL/5m/8bH/jAB64Qhv52SNOu2oa1blIJFz9JCv8Ox0tCIHmxwhjDZz/7X7jpppu4/vrr9jAnV0YcxywuLnLmzFluuunGPRmVH6fJuDuWqir53Of+C7fffjtH9+Rrro4kSThw4CCnTp3itttu2/syvtjn81d/9RXuvfdefuZnfoZG4zurqM/MzKB1xP33/yVvfOMbrrqBvJSxurrK8soqG0MYVjn75gWNOENFTRAxpy8lfPmxBrJ1mKzZJklbxEkchHivuBnv3uC1liipGS05Lnzma9z+5v+RQ//gZ1n/xhme/q/PsTT/KrLOAkmWEadJSA6isIMPr991bZCXhYFJ2BpIIlmyMBdEjp85m/D0hSnszGPEaYnWcWgP6waxahDrFrFso0VKIHJOdN18YDFvruSYClrtmKyREGWSRCuya2P0y1J2FoaMX61ovGsa9pVI6UI1TkqEgCKviRNNmkm0VpNzSIlVi1h1iEQTKaIg1OMd3lmctzinEMVh0uxV1Cpm7B219zSkQniHrS07dcXj68sMmwmNA/M0pqdIWy3SLCWOE3QSoeP4cnIV6/B7mlALGOY5RVUxzocM1zZZbHfxkeLMsEfZSIkXD9KcXSBrtEmzhCiJ0VEc2t1aTz6TCBlHiDjGaMlOXRJVCZqMWCVEWhPFMUkSTeZDYLY6H5T1nLOApTfaxIiS9nSbrNEgjuLJfBFcuHCBuq6Ynp6m1WoiBGxtbTM7OxsqfT5gAK115KOc5bMbJDTJoiZRHKNVRKzD+8dJsHsThFbxlTZnURQ2L1maBrF7IfET0ZGiHNNstGhmbZZWLuK9IU1TVKSRk5KRNYaiGFMWOVVtcA56/R2mp1v0t0YsnemRqVmyuEUSRcRRNLGj0xNGu9i7eVdVCcLTbLbwTJLSIBZIkee0mm2aaYORPk8vfTR4Y0+gByHRdoDBe4NzFdaVGFtjnMHVPpA0Ko+pFOXY41YWmVevZWZqnkZ7ChFHjPI+nbRJFifgfahgO4e3nmG1SXpsGbFvnX61xMb4Sarpx3DTq+hpQ9TxxC1P1PAkTYtqVJhsQJ/nWB+fxbGfTusgrVaLJEuJJ8mgnlRYldahmrz7M3FoCZ+359LFC4zHOdv9PucuXGBzfZNWFjbPVVWQFyW9cc7y+gZFbVjb2uTZM2cwUtDudiYt6YQojlGTNUoqDUoFX2Tn6DQal/tRu92rl3CpDcTH+qqkME0T0jTljjtOsL29zSc+8QluvPFGpqenv23dt9byxS9+kf/wH/5PPv3pz/DMM09z5MiRqwigP4m/W/FjWRncjccee4zxeMx11x3jamHmq6PRyLjhhuv5whe+wGtf+5of3gC/z7jSUBs8R48GIe7vFq1Wk+PHj3HffV/kFa94+Yv+5TImMJhf9rKbybL0BZ97/fXX8cwzT/Poo49y1113vajjuDJ2r1G/12d5eRkdZ6TpPi6tVbSaF3jF9R7pBb2diC//TYFPD5BlbZI0RsVRSH5USNh2L613HqlqtAArAyZv/w23Mf+mNxKnDerekLX/9HvENAKmKg7Vpd1E8sq2vHMOK8MCHSFwThD7Lt86uc6hhYJm5nj2bIxKW/QGBc22RqGQeDQq+MDSIqIbkkDhsTLHCoVAMh4UDHYKpqba6IZAJaBjF7QJlUDdLmjcuoBRAuFzlEkodEk0aTt7L7EmYdDLaU91QIJEIomIRIOYLoqYWoywogBRIUSFEAJbO6q8Yq7dRPuAH+sPxyyVOfuNRqA4tbPBUMH0/kWa7Q5ZIw3tuihCKolXoAhezW7i7GB2rc+QjIRg5eIlytUNFuIGOkq4ONymrwzZ1BSNboc0SdCJnmjoXSZMeB+SKeksQoXKipeSNgK35BA2WPVJKZAKkkTTaLaoazORbTGTYwWcmZYarUALhWSXYRlaZ9tbW3S7HRqNjDRNsdYyHufkeUGj0Qw4PxEkqxQaVzliGU3cNwRKSpRSxFFEs93Ae8uwHywHjdEEqaRgAVdXNVEcI+uJR653OB2hI0Wej1mY2c/C7AIrm5cYDLZRSlCWY+raTrxu1QQL6jDGsbOyxacu3EsWZSxMHaHRitHaobRAJylJEu+pHxRFgXNBzzCJEqqqJIqiMDdxOBWhI0OcxPQHA6baXZIoxdQWWwlM5CaEKPAorAcla6SsJ5X0IJnjaoW1ktp4SlNT5iCHc6SdFkkaiDu+56hUSuksnSjC1RO3FCmDtmDZBgdOVFSNCyStiLit0QnBIUgG3J/AYr3AOUlUR5i4oopWYLRDmqShIhiHTcZuNTgoR8i9RN05h5AGkCTe43yb+QP7efbsWWbHYxYWFnCrK1xYW2O2zFFaMspLGjMzHDlwgCfPnAHvaHe7zDYaoSUdx0RRgo40cjJ/hbzsTrM9HpP1NAvdLmpPg/elTaiklLRaTR566GFuvvlmut02cRwsTuM45j3veQ/dbpff+Z3f4b3vfR933HGCy3JfQcnis5/9HO985z9kYWGBhx56kH//73+XD37wf6XT6bykY/9JvDTxY5sMCiF4+umnOXhw//fllXj48CE++9nPUlXV3qT+cYndG9pTTz3F4uJB5AswlsPzw/nce++9L8l4hsMhly5d5Kd/+qe/53OlVCwuLvLUU0/x6le/+iUZD4RrNB6POX/uHBKBMQXOg8i6nLyYc/TgOtOtMU+crhjVh2l2mkQ6GIxrJdFqtxIYqh4QsGsYjaUiFo6y2WTjmQFFr4erDb2tNco4QzfaMGkNaxUYo7vJ5W6b2Fp3hTcwqEgR1w2Gdp6zF84zN2/YyROiVgQuospLoszjJ0zKsL6LCRBh4gKxi1N1ks3VnCRO0YknieTknAQ6skiVIJRGotDKIqzCSk1sHRWgXI2KBXEiqPqeYmyJMnUV6mF3xnncRHgX/ARHmw9qUqlJowgXC1wjSG0sjYYMJvaEF/I+6fQU7UYjVKnSoHkXTa57MHa4jNNzzgUWKRKRhM+iMT2NdIKk3eG0L+mZGpllobobN4ivqAJeTgZ3CVkeYSwShfJA6vFNSx6NcNXkRj7xxWXyuqvDhfa8AD9xG7HOBts8Z/FeTapkFWbSyt7FkDnnJvhjP6kMBj1AiwFlcarCyQqPmnh7XBm75TNAeLz0OGGRIiQCUaTDuTkbKs5KoZSmqiukFCweOMRg1KPMK/qyT5xmNBoNkigJridCgA/jTJKU4XAI1qFkhBQ+VBKlQClJmsZIqfZ8mCViL+kypUVrHRI4KbEi6GoqLcmLMZ7ABvYWyny3Lbh7aT3KFTg5sfycrHfOOVztMNZQVRKTG8xGB7nZwKQVZVUhRkPajYxO8wjS1jjPHjQg5EVhEhsvGayOiWRE1PFEDTHRFhVIJSZzTyF9wPcifdg4CUHiA3kmVPr1HlZwt5V/JWbQORfmT8CZYGJDe2oaHcUcWFxExzHX3347p598gvXtbWKtaM/Ncfi661BpxtTCPP2tLcb5eNJl0KiJjJHUk/VFhmvrRIBUICXL/T5RHDOTZT80MomUgk9+8pP8i3/xARYW5rh85QVKKe6++2663S4f/vCHede73s0b3/iGvXvXF794H3ff/TZe/vKXA/CLv/gufvu3f5snnniC17zmx68g85P43vFjmwxCkFR5Icu1KyOO4z18z49bMrhX9er36Xa73+PZIbIso6qqveT2xRSuNsZQFCVp+sJVwctjadDr9V46AslE8PbMmTOMRiM21taoqgo5s0CUtcjLGZ45s8l1B/o8cVqTJi0SFSFiMcGHBWuqXSHe3WMq6zAYnBQkJsEf2sfpr1Z86v/4Hfa122w99RTixCtJmzGRiFEiEA+UlKGSFymElEGjTRjA4ZwMLhuSQAqJpri4dp5aKIxtk+kYHVvy3JD6DOFVqJJ5g2SIpwZvMRRYZ/HeUBWWUd/SnY5RMfhIoLRHyhgpJZFMgguDVIDCiBIvS/COWOXUWqCcQsWWSMf0dwqaMxHGW4SvqX0+aW0rjC+xrg46a97hDORjQyuLibSiTiWahMw0MVhotSnHOX4Q0261QiU2UcQqItptsWmN2q3ihYuPtXZPVNfjSCfVkihJiDsd8CC2N2m1GqhMk0zawEEMOLqiJT/BJTk3qewJwGG9I8piTGOEz0s8Emcl1kKZW6wd4FyogjtnsN5QiyG2MaLbjZEZFHVJvV2jewPanfakNdxiZ2cHYCI6nSOlIo5j+v0em5ubVKUJbWdpmTs8hSsFdZWHZN1rrNPUVc1oOMJ7qGuLcRZLjWGE1xWeJkKyl1TtSrV4PAhFURQsL1+kqiqOXHOM3rCPjDTNVrCji1TAVCJ08Kt2FXFcEUcx+XBAUQ7xzQ7OqyCx4yx1XSOlDe1y7wji524if2ORIpAChAfhxaR9LaiqguWVJYbTfbyWDLaHSBHmtqg13ma4OgLlkalHJBVOjTHe4YygrhzlWFBtKuTaNbh+yobaBCHotKe54cYbabU7bCwv0bu4HMhNzmCdpfYlLhrS2ylxtSSdikgyiCM5YcuL0NKVEi8cwoJF4YTAaYVGERcKLSbV/skmbzcZ3P19dw0yxoT1WiqslGFNSWJEniOUQicJBw4f5sDcHA0h6DSabBU5LkmoEGRCsr6yPIEeXMai6gmeWU7WKC0VDoKFpRDUwNLmJtm+fTSi6Efo/HQ5hBC87nWvo9ud5kMf+hBra6u8+93BQGI0Gl11L9Na0263GY3GP1J92p/E3z5+bJNB7z3tdpuVlZXv6/l1XeOco9Fo/NhNxt2xtFpt8jyfPPrCtnpFURBFE8zRi3guQgTx4SRJKMuCKGo9byziir+DA0hRjNm/f/+LNoYrY7c9c/rkKTZWV9ne2CCNE1qdKYpmjEdTpymXVlOE2WKUT9GeiyESKCKk0CgZdrK710vKoD9WVxUei/aKWntk2uKat76NlUf+mrObTxDfdRPJjbeCTEIBR3qkDPghpWKSVBBHKXVlyAlkBIlDCI0UEq36NPQ6rhoy2Klp6FUiL4LLQmVx1iFrMMIgTE6JoRaKkFTWOFPirGW4Y/AuCPkKBVKAUAKpPEKHscSqhRZhY6QYIXBUqkb4GCkCkUCpIGI9HhswAqTDm4raD3GqIvg8O4zJsbbCWUdVekzt0G2BjDTaKiJtMEmMzgNAfnNtgzTNiNOJC4aK9qodV95Qd3U/nXu+36tBR5ooSSiLkjTLQusWSRSnJDpGRP8fe28eq9l513l+nu0s73L3qnKVK66yK/Eyjl0OcRJn6e4EGCGgQdOEBBNAaMLWAqYjuluoJ0Cm6RFhpNADiL/IqIcRwzKdYSSkLJjJ0kwWJIKxQ+x4i5cqu7ZbVXd7t7M82/zxnPe9txwH6GkncSZ+pFd1fX3ec84973nP831+v++SxARKfWXVJsaI9B7X7U+G9P+NMaiNEp/NsKMR3gak0zTBYZ0kBoGPjqnfpdUjzIqiXw4wJkvCASkS0HeW2WzGZDJhbW2ti6C7glKK4XDI0WPHOHv2LG3bkuc5S8u9Rbcixoh3nqZuaKYTJnUDfhliwHrdAWOofUMtdpHLLcNegb1ikTLDu86MOaRKYYwB3zbgHUJIllbWuLK7SVTQ6/eTajrLu2uugXQeISiE1yDSPV+NZ8zaaYqucwLXSqoYEFEmVbz1OB9S0oizJMuZrjoWY8p0xhOco1cOyEyqSDoPO5s1uu2j5TGy2Qlye5SMASKCUzV1/wJ+4yx+5SptrLAN1HszxtuQTaecWFpmZ3uLZ8bbrF93iFffeWuy17ENtmkIPplJW9cys1PapYuMJlMGPYPJIzqL6EwiO/N2IQ1CqMRdVBER21QBtiKJqDQkx/S0YJFdK39+DxljFh6D8/vXS4FQAuUkpuMP+hgJzjKZjahGY65bX2fUNOzs7eKEoBgOUVLRto7BsEiLRZHuM2Q6ru6eU5k2IEjV0e6Ytfc8tXmZVx07SpF4AIhrnskx/R1fx6lNCMEdd9zOv/k3v8jv/M7vcOHCBX7mZ36a06fv4i/+4i84efIkZVny2GOPcuHCua9JrvHL4+szXrJgUAjBLbfcwoMPfiG1nP5OWxXB+fMXuPHGG8nz/AWVUi+Fccstt3Dfffdx++23/70A79y589xyyy0vKhCcg+TBYMCxY0e5cOECN998M1/96ZIm4vPnz/PWt771RTuP+bnMx5kzZzh//hw7V7folyWDXo/MGJw2RARCZTRtzrPn29Qm7LhwSgSE9ESZp6qRlOR5Tp7n1HWN9xHhLVIIovSgxshim2N3acpwHY0NtNkl8qARYp1AnyhCIvKLgBQFWmV4FTr/SU2QNUJW5P4s/fgoy0d2KU0L0rHR1Ow1z7IbExhxNuBkRPoGiMhgEbJrN3qHDxbvIuPRtLMi6Qx9gQ6dIjFImaFkgaFbicfEnwqiJeChM/SFxJsLPmJbT5wbTYdA8BaE7IyFbZeJG7CtS23vTiATZVcZ1fsVk8l43MWz6UXFbv46OKkqpRat1RjjAsylbdVCgCRiqtglIPnV9zkHhM+fqBfbSUVe9lN6S14z26uppoHgBygv8cDM7+LzCb2VgqKf7qvnA80QHNbmNE3DrKo4ct113NaR5pum4dLmJlmWsby83FnHZAs+47y1mOc5bdkwGVdM9nbwbhnlM0QUWCpaOSJfFpTDIZkpefbZHZaHa8xm00VlLnpH29TYxrK6tEqvHFC7hvFkxHBliSzLE/dswWudi0FSxOCiuhgKfO7ZG+1QZgUSCVEmRbNI6RutszSuZtZOGVdjtDHUTYULCSAG7/GtRwbN0tI6vSLHa0OvFCyvbqAu3cxG9lqWy0NkvQItBSpKolc09Q2MzpxiN3+EZuUBRnaEzA3LRwxbO2eZ+ldx6NSQKRfZrL7Axx98ipWl65he3eNofgzl13BWUFUtO/4Z4tI2UrTIvESZmP5upVFKpkWJMkhp0lcjeIJP/ewYPaLz2ZRBLD6zxdNNpKSsPDNJyOH9Ypv0PeycJjp6x5XzF4jQpc4Yzm9tIQWEkOIAt7Z3EELgnF0cZy56FCK15Bec0swgBJ3Nj0MBTggmjeXspU1OHT2MucbdYp9q8HVFg904fvw4733ve/ngBz/I+9//P3Hvvffy4Q9/mF/7tV9jMBgwHo/4gR/4Aa6//vqXVCHm5fEPHy9ZMBhj5K677upyE89w6tRNX3Xbqqp47LHHuffeHwJeWkrig+P1r38dH/nIR3nuuee44YavHgg+nc548smn+Imf+G9f1OPPr4vWmre97a380R/9ESdOnFg4zqdxLZB++ukzaJ11XoMvUqs6nQzEyMULF3jiiSeopzNyY+iXJXmWkRlDJgNZ8wyFOEO5dhXJjNXVZ2l9i4+n8KJAoVDBLYzC54BhfqSIhOjJ2qvI+gss9S8yOGQppMLHmql9nNHsPCN7B1LdRIhZskbxnrZ2eF/hvSV4TwweQkQ0T7NiHmB9fUq/0F1sncW5wJKdcGHSmUrbiNURZSMhRJT3i8k74vAutWmbygKp3df1WfcvVBTE2Ikouolgzqd6wSVPZ7TsrEcogYiOGDxCpuoPMXHl0rFTVXBOItyfCMUCcDVNi7V2UflLk5q85l5Ik1v6zHzw1HVzjQBkMbkKsQCMqWUpF9GPohOAHKzc5HmqgM2r/tdM1p0aNutAkdUCoWESWurJFOVyqjghlBOG6wVlr0eelWTmhcRB+1m/Sikmkwljren1+wsgOBgMOjCWXdPCDqHL9dUObQRRB6Y0zHb2yF2PiMLqEeVqoFzuk+c9cpXR+pat3avsjLZRypAXOUpJqvGEXtGjzJPp97lnn0MqsVDJK6UXYNB0HLgQItame19Hj9c5WWYZj/aYVGOIKt1/UhAI2GDZm+wymY1xvmt5u5Yzzz6DVKlroKWiqWuGxRK9vEeRK0ZSI1zOen2So8XrWS/WKIpByiRWAmSqcGtXYux16EpTXRlz5FVPoVci9bilONKwG/4Ct1Qge56+Duxwnu0gEYcCV2xBMTvK0L6Sqo2440/QFtsYFBhSxnG3cEnt1xytehhZAgInGzyCEBtEDClJUnSJSgtxBotnhfce51XHG91PXkqbB4jQVDVt21IU6T7SHbdVdnZAhDk/0lHXNa4oqJqast9L38cDSvL54sH70N17YXFuMYIXgst7e2RactOhI/vUAeZVwvmz7es/xy0vL/Oe97yHD33o/+SDH/xdfvAH38HGxgaTyZiTJ09y+PChxXV9qc7BL4+vPl6yYFAIwXA45N577+WDH/wgWWY4fvx4d5PttzJnsxl/+Zd/yStfeYo3v/lN39Bz/vvG2toa73znO/j93/99tDYcPXp0UdFJIzKZTPjsZz/HHXe8mrvvvvtr9qV605vexOc//3k+85nP8OY3v5my7HHtgxKee+4cDz74AD/7sz9Lv99/UY8vSLYV9//1XydeVdMwWFrC6CTeMEai7WOs6r/l0FIkLzTR5LhgaeqzbI1G7ARHDKcIHafMe0/TNLjOZNgHSwye6LaR9nMcW9pkpV+iC41SOQHL0EWWigmbuw8wagVC30ZQAu+gpQYnCXiCC6nt21yi9H/Ldaszev0MU4KWJvHxfAMux058CuSyAq0CeIgmEIXbb58yV1sKvL88D2UAACAASURBVIXgIiGI/W5Q9AkEhmTX4WQNInHZHDNsrPHR4+M8aaP7NwiCEwQLTkZi8Eh1cIGU0n6Cj3iXvN+iT75x82Lt3HdNIBaT5Fe7D/crICIpOqP8++9ZwULh+9X2N/95LnC4dhsWXxmlBQaFoAARKZYDo2ZKNaqxepeV5QFl2afIipRQckApflCp7DrLIEgT9M7uLlvb212EZm+R/DEHjAeVzqlaGREix0dBHAYmzYx6J4laihVBMeiR5QMyk5FpwWBpCEERQ8Q6x2g8hhhw1jLI9xWn4/Ee5bDXHXMOQhVaG/IiI88yrHWdetcjhUZIj9RJQDSe7CFROG2RStLaht3JLi4mpXBmCuT87+68HMfjEYSAJCLyIUKAkgJbRUZbBTe621kZrpDnQ7KsSFnbQoI0hBgQqsvy9Ydo3R20akorn6OpPb01RdkPmLxGZTEtAOhEMDHg/C51NaHSz9EM4LpbM3bP1fSLIt1fglSlVxEhJUoajBxgxBCJQYhdUC0yJEVyEIK2aQnREXValM0XFt77hVDooFhoXtme58GPRiN6/R5lv0+Wd6IQ2VWXEXgihEDQNt1fRjOeTBiNRuR5jmEfCM55iVWICMB6ty9cCanK6ELg4S8/xXXZKr1l3Vn3yAOvr/+Yfy/zPOdHfuRdnDx5gj/+4/+DN77xjbzjHe/oCgrXLk/n1/Dxxx/nwQcfJM9z7rnnHo4dO/ZVnxEHY2fTz0nsNf/dyyDzazdesmBwPl73urtxzvJ7v/d7PP30M9xwQ0ogcc6xuXmJJ5/8MqdPn+Ynf/In/0Gq42/0eMtb3oz3jj/4gz/iyJEj3HDDDfR6vS5R5SJPPfUUb3jD6/nxH//xFzVx5PlDa83P//zP87u/+0E+9rH7OHXqFEeOHMEYxWQy5cyZM+zs7PLud7+bb/u217yoxxaAd54vP/YoWghGkwlGSsyce6aSMGQ5rylKwaAwUIJSeQItRaSf7SF3H2DkSqw6gfB+0UqEbtUfPFiLH/0Nh5cvMxyUZANJnnX2JFHgfUSpBsEMu/UITbuOlUdA1vgAUaR8WXzEu4BsHmdtsEWv16csMvJcoVQy83VWEqXH+Uh0Et9YGlTKLvZzwNCt72PEBwg2Qkgke+8i3oH3oDwEHwjKYn1FJODkDIQgBIvzdTL7dXPfu+69XbWvbQIaQfB0YLBrL8VIiOHAtnHhm0dMHLokLomEGMlNvl/RWPw+LKqv84ns4KQ6J+Ff+9qv2pqOIO+7qsjB13wf8306KRcT97yKEsK+b5+QKimaiYhYEHqRZqnlytZF1lb7yTvSFBid7Ie01milF2bD+xzH+YQXFyBhOp1SFAXGZOk1f6++Fkx67xftuzxAzHPs0DIZT5BSUA5XybMi+Q92lcle0UcEnapBwWJzy6yaEbwnENjZ20FOJNY5evKAQlqkz1JKgTaavCyIsb6mEjv/lkXg6tYWbdPSK/sgBbNqRtErGPaGHTDWzG2XQwjkmSfPc2aTCU0zpXIN1fZVCq0YRUc5fiXLG8fJsz4mk2gDJpMYlSNIFTYXW1xQROMZuMNsnj/E7uxZhIosrWlUkd6nNB0QTar6EDR4QZMHbD7DjyObF8fYGmKZav8y6u5az9u4SbGuMEhyFAYvDhjGAwLJeDwhMyXKe7z0XTvXLe5X4Jr7LHhPXdVcvXyZsiwZ9AeYskzemR2vVXYV6rknYtASoVUn7BGMx2NGoxHGZAi5X9Vu27ZT2ic7Ie89tkupwXumkzGjScOFM7ucuHkdUz6fJ/iNaRXPh5SSt7zlLdx000387u/+L/y7f/c/8tM//VOcOLHf7Zo/hz/60Y/ykY98hLvvvpurV6/yq7/6q/zcz/0cp0+ffsF9CyF48skn+bM/+zN2dva46aYb+f7v/z6Gw+Hfe14HqUcvg8b//PGSB4MAb3zjG7nlllv4+Mc/ySOPfImzZ8+xurrMqVM38Z73vIfbb789JQ7Eb+yX5B8yhBC87W1v4/bbb+fjH/8EjzzyKM89d4719XVe+cpT/Ot//a+49dZbv6ZAcH4eRVHyL/7Ff8cXv/gQn/70p/niF7/Izs4OJ06c4LWvfS3f/u1vY319gxftezX/eGLksUe+xFNPPIlRmrauML1e9/CO3UNeUOSSspeRl8l3L4s5IUZa3RBkzqEwo95+mMqt4+gvAOA8WNDHAM0Fyvg0q7kgLxS9THZpJQYRI621hCjInWept8XF6XmsWgcVCEImRUcMEB0uzCjDNkWmiEVEGshMjtA9gpAIJrg4xVeBdhqpZYt2GpcnoruSc8VtTOkYIaSqoBdUsxrbZHinEkjTCUAK61CxJs6rPtAZRdtki+KSgMF3YLWtLa6NzKYO48GYlESy/xkKgk9tKtdEmlmkrV26Dt4Tg0zg0CX7lOXlw2htsNbuT5QHKilCCJy1EALe2tSiDh7nkxrUh2SqG4IneI/znsFgyHgyYa/avWby9d4jpEJ2wD74gJBdaorzi8nah6SIDSGAztA6iUWCUujMkPUMvTVN1p+nyXT50HPbIJNA3RzMzcFAjBEvddeCzSgKv29iflCBapJFCCLxMZ0QhK6dp71He4PJc3R/glYSk6VoQKNIlkE6I89KCJIYk/hDziPJOouc1eUhbes4cugIbbAQfFctDgsA2jZtOn/rr/lsYvQJsMfIeDpmNNojzwyD5SVWVlcpemVX5cxShaurvsToUS55ORIhioD1jrWVDULd4kc5S/EERge0igglUaqgUIqsLJBS0doGFy0RgXQKI3uwu4ZYKihXI3kp0SaBQaFSlRMZoVtwhaCJIaBFROKZjFNlPcSAiBGCOVA9T9+FiMXFGonDY7v7bb7QkGR5hg2B6XS6qLDOx8JaJu4vIL13OOe4cuUKSqZUGtPRILTebxGnymA6l1Sl70A7MlX5vGdvb49+f0DxPM/SaxeFCZAG63BNzWQ8ptcb8vjDZ7h4YZM3fcftyCw9O8Xf4U/79Rpz0HX99dfzy7/8S/zpn/4p73//r/Nd3/Vf893f/d0LEeeVK1e47777+IVf+AVuueUWAD7xiU/wx3/8x9x+++0L54eD44knvsy///e/wRvecA8333wrDzzwAO9//6/zvve9j7IsXrA66Jzjc5/7Sx5++GH6/T7/+B//I2688aYXb976FhkveTA4/+DX19e599530jQtv/zLv8K73vXD3HXX6ee1lb5RZ/kPH/PzPXz4MO961w8zm834lV/5H/jJn/wJbrvt1q/riiYtniWnT9/J6dN38sADX+BDH/oQv/RL//2LamezPyJEwdbVK2xfucqw32c2neJbi80TcAi+AwZOYgTkRmKMJs9ypMyJoUW0gmBa+rmgp7ep2qs4DCEqRNiPl4rBY6eXWcpblDZIA0plKN1D6QKiQLGH9g1Ka3qmBXcF39ZImeOlJwqXOHXRQpghQ4UkS9UUAVFqpChQMf2MVEz3IlubE+pJn/5KxPQ92kSUEvsMh5AsR9pa0EygnQXqSSDvKYRKXCcpUixYjB4pI4iG1CbyxODwLrWYnUvAztUw24uMt1uUVPSXNFkRkcYnc2IhIIqkYLWBZhoZ71jqmaVenrfCPd7ZBPCi5/DGIVZX15hVU3rWknuPdg6lNE7Kzock4GPyrUuJHx3YdK4DlR5vHc5ahBSsrq5im5YrFy/ibIO3hqhUAovSpX3GQJjHuRHxIRJcByiDx4a0T0xAipwgAsjUEtdaUZZFEsF04pVk0NxZi2hNlmUoqVIVU6RjiOC7SX7Oy/MLgYuYv5TEaE3WcQdtB4B1DEQUCIUQCWxmeae07hJs0j5S29uYbAEGvRfJGiUGfBGopzOk1gxNiVaavekOwXpiHvDBYb1C2iQKse089ziBIB9TaocPFuctRw4fpcxLxtM9sl5BnpdkJseoHNNxEKVUHXDyCJFUzGQeH/qM9/bYkIcoB32WmmXG1dYi51pGgRQBVE5RlAs+qBItniRgklKhpKEoNPQ0OgOjQWqTlL4yAaMQFehEXxBO4DIIUdKLCt8GbCsIXiSLppjUvz44lGuxcUqQFkTERYv3DdH7pM4OCmUkOi+oZjPKsux4eEm5LaXaZ+PNq+beUk2n1LMZy0vLKTkkMyiTPsvnq91DCOm54yVCS4gWFQyZz8myjL29XUym0518QFgF+7zF4BOHeDQZE6WkyA1N0zC52vLs45e58Y4jeCIy7gtbvlHj4LxgjOYHf/DtnD59J3/4h3/I/fffzzvf+U7uvPNOrly5SpYVvOpVryI99CR33HEHH/7whxmNRqytrV2z3xgjH/vYn3HPPW/i+7//+xFC8JrXvIYPfOAD/M3f/A1vecubrzn2vKr/e7/3v/HII49y9913s7u7y2/8xv/MP//nP8Mdd7z6K7afjzmd6CD96Vu9mviSB4MHR4wRrRNfZ65M/GbnEcz5Ry+0Svp6jX1hiVqQ/F/sazqnQLdNw8Wzz1FmGVokC5XGOeqmwbYtTpuOjB7Jo08tY6lRqkSIHlHUSOmR2qOkJFMWN9vGs45UncqTCDiIgbaaIDKHjBkieoIM3YM0tUwFnTFyVIDEuwobZwQlQUWiUIiYuHchOHLvCL4B2yMY8M4iRAWIFLvlIjtXKtpZxFYVs7EmHwjyHmjTcc2CxLlAUzXU00A71YSo2d1uMf2YrG2kQkQIQSRjWiW6dp6FKIleJ5DlHK6OuBnMRp69bY+vYPt8zXhH0hsYsiJVxiSKEJPSuJkF6qnDNh6CZrrbYo9EQltj25qmrjF1pLpwkcPGcObKDDuosHlBJjRBtMgIMWhcAGRcmHITAtF78I5oHaF1NNZSVzPyxjJ77jyyqhCTinbYkKkSJwNIhybiowbZmTCTsGGIqZXtnQMXCI2lbltCViDy9HnKrtoiu+/TPKbvoJAFUjUoy3IyYxLh3/uv+D7MhSwH33fw9ylVIilYnXfpPK85lvwKoUraT+J95blBRN2BZhBO4JXBGEerFFVdM1hO1W4X++xN9nCtR0gP2K7N7pl7O7qQQLd1Fuda2qZBRMnh9esY9HqEyx6Zdarvrvp5UAUOLGgWMcZk0qwdJtNMp2P660fQKtuvuCWbQmKIeO+oqmoh9tmnFQhisECgyDsFuHGILCXFKJ0SYSS6SxjxeGm7B0YkxERzKHqS2azB24yYycSv7cy7W1Hh8Khouvsk2eE43xCcx3uFFAqVGeKsWVh7pbbu3Bh9DswSmA7Os729g1b710epr1S6z5+T8yr5fHif8p11t+iYTqc0dYPJuxxfuW9EvuASOoeznul0Sp4nWoMZGHJpuPhMxdqRluXDeScie2kNIQQ333wz733ve/nUpz7Ff/gP/ysnTpzk9a9/fVLjX9rk2LEUq3r27LMYkwRZzx8xRra2tnj1q199YE7SHDt2jK2tq4ttDs5NZ8+e5a//+n5+8Rd/kbW1NWKMfPKTn+RP/uRPuOOOV3/FMbz3fOQjH+Gzn/0szjluuOEGfuzHfoyNjY2vxaX5phrfVGDw+SPGb240PxfDvFTCvb/mx4+Ri+fOIYFMa+ZJHINBn2o2o67q5L+l0v/xvuOpdat4IQLgDyj9AjEEbNNgQ4NUYREvRVfpmDWe1iXwFZxJHmuq6oBWwPm6az86rAs0jWTGBJ0FtJBdWizYGPGtY+wM1UqgsB5tJVImtTFInGtx1lNXEaIGHO0s0lSAEijlUnFuoXjeVy4SI/VYML6oMUiiSNvkrkQ0ElyJtUXii5kG9AwXHa2PtBXYkWf3gsdWLcM1w3jcUk0j9TTF2SW+Yicw8bHztJOgoLccyXKwbYN1jqaqUaMJxW7FaHuPYYSbsj5705q2qEArnI7kEjyh83uUeMQcuRG8wwZH6x3WtbRVhZlULI9bJruPYiUcFZrpZEadFWAUuYrMo83kvIUoSJXZ4HDep3uibXFNS13PiHk5LziniWIuxF6oR/eJ7NfwSb1L7d25mvOa2/T5fMf9983/dd6BEJ1x+LXS7vSeF9rvvlAsLwsUBtvaffHH3DJHS5q2XuRia5l4fU1VI6TAu5apd7hOkSpFZ46sFT4EmramnlVkKmNYDjEmLRyMyq8BqXOLkzzPutblPmdTyP1En6qadrm9isZarJt/FmkxYqVYVLyccwsuXnQB61tas4vsOaQWCJkn4YdO7XIty2R5FD0i2MXnGKNH+YjWYPKImAXaOmAyiVCpUp4SZyTBC7yIyPTUWFAOEgc3KYJl1+avpzOUECl20oRrwP5CXWwd4709hsMhUiUOoLjGJmkf6M3/5udbH80zw7VS4APVbEYMAaU1/nmVwTkYrOsW31p0f4CUCpNpMlGghOTsIzv8V0uHkeUBKs1LZBwUl3zP93wP99zzRj760Y/xB3/wB1RVxW/+5m/xnd/5HcxmFZ/4xCd4+9vf/oLBEFJKTp48yRe+8AVOnz6NUorxeMyXv/wE3/7tb73mWPOfL168xKFDh1hfX18Axdtuu40///P7XnA++9jH/oxPf/oz/NiP/SjLy8v8+Z//3/zWb/0273vfrzzPVeNbb3xTgcHnf7jfxDjwmvGNBoHz8bUApYt9AjtXr+DbljzLUvVOJK5NkWUUec7Wzi5RKQYxkGeGpk2rZastyAlKWmJoaV2DtZrWeqpaMhmDN1O0MclOJfVvU67s1LAlHRvLHtMIpNadOa7tDIcddWupW8tk4rmy6WiyHURuU8qJ9ISYDKdjVTOrHWt9T1a06fyDR0mbgIELzFzDK06tcHlni8kYQq2Q2mGKxB2TEkKwRCF41c03Mp1VPP7QBaQ3iCZj67FDYKcsHa+IWU61d4R2+zA0y8RYIoQjqhrR26XY2ET2LjObtew83Wf3kmH15BVuf+MqVRXYfGbMlc0JWmVok0ysg4vYJuJ8ZLAqOHZyneFqST4paJsJ1SyQ7Vas1oFePyeXBi8Ey1Gw7D2b4xmtjJjQw+YRbzwy+KQmnVfqYyT6gHMW17bU1Yxsb8Za0AyGeeJOAjYGpi6wOZ4wlZEYC3KXIQxdZJcDKQgRHA7hPL51NLalnU4oxxX5ICTPxhi6lqtfKDYX4PF5PEfnUiWrEU23IHAvyIdcgJoDwhbvPFY4QoyIxfv9C7x/v1o0/++D+y6LAVpkTHz4ChsehMC2Ddu724xHE6IIaGmIIlJPK6pmRpalLG3RAdK6me0fz1r2dvd41clbyExGFGFRRRTIBSidA8KyLFNV0R7wxyPheikFdV2zt7ubqmYRZlVNkWVolVrfoRPdzL/vzicOatM2TNoZYlDBaI14+RAIiRw4zKEZ5lBAqiLlOkdLK6sEBFVn2K4EQoHSEa0lzcyRZanV3gpJAFTwCOkQQqUEkihTm9wnQZZrkm/oHMSNx2OIEZNnC4Nzuoi1EALBOZq6pqkrlpeXD+jq9wHcPpDO0ErSCLHgz86fnwcrxACT0ZjgfMonlvsV49hRKqxtqaq6a12nKrfROZnKMAaE05x/Yo8b7lhZnO9LYTwfnAGsra3yoz/6I3zv934Pn/rUp/j0pz/D7//+/47Wmu/8zu/kDW94fbdOi9eAYhD8s3/23/D+9/86v/mbv8l1113HY489xp133sHtt9/+gsc/duwoV65cYWtra9F2fuSRRzh+/PgLdg0//vFP8BM/8W7uvPNOQgj81E/9FP/yX/4rnnjiSe6444WP8a0yvqnA4Mvjm28kYBapZxWTnV2G/R5N2yzipmRnl6GLnPHeLu3uFutuSD/PyKuKukmGyj44pGw7ABepmsCk9ly4pLhweZOyZ8myIVKXXevGElyNnWxzeVpzZNhDS0dE4CxI5RLx2wXqJjAaec5c0lT1iFJ8ieCGuGDwKkcKT6YqVnpTessjti5fpTQruFXoFQalEuB1PjK1lt5K5LabNhjtRHauTMmKHnkp0Eoiuqqn845ZuEJQknIgqUcBJSShWmX70WXCXoMvj5L5W+npAUYbhNQIkThidmKpxpex6hl2dzdpdo6xsr7L6vVjZJa8DZcOacql5U5EEklIFGwbsE2kHCiGaxlCRkbTCXk7Id91rNnIMCswRqKkJsqI8JEiaJR3bI5qJkGQBY9xBh3BW48IEbQiaomT4FpPWzeUk4o1DysmR2UJQMgoMMFRqIh0liu7E5q+w/dKtGuJHoRLvo5IQdQaBzS2xdY1xaTmiMgoYtee74Ca7+xRqqpKVZgDIO3ghB19WNBMfDggTpkDyee9DtrRwH6L9qBNiXN+YWvkXDoHrTXWOozZ307gsVWFJKV/LFI/Quiqqum6TdWUXr+3yGqmUx5XdUXdVkklnWVAl//rLHVdMZ5OWFpawjtPVVVYGlrXvoBy23fpK1UHpOMB4cVcLQ5aG5qmZjAcsOJW2drdITc6mbl31+KgunoOBmfVlKaJlNPTFM8tUYoBQoDbqqmerWjXNlm/paVYD7RiL1X3pE2cw86GKfEsPUpqZlOLNoEoJVo4olcIMhSaqCJeWRA+PSN8ek64xuP1PDE6Mh6PqeuaoiwTb1QpkKmmGHzAtS3TyTiJiuaV4O6VYvpI92RIC56AOHDNnleJnocxhsDe7i5t0yTvzLlHISzun7qpmY5nDIYFScyT7HwyY1IVWUSm2zU7F2asXd9/qeskEQJWV1d4+9t/gH/6T7+Xhx76Evfffz8PPfQQn/nMZzhy5AgnT57g+PHrue66o6yurjIcDuj1evzbf/s+Pv/5z7O1tcNb3vImTp8+/VUFlTfccAP33HMPv/3bv83rXvc6dnd3efTRR/m5n/vZF9w+JXtl7O2NiDEuFkN1Xb3g9t9K42Uw+PL4Go3kjRU7Ds+lc88iQwDyeV90n3vUqYydVoxby2Rri9XMIHtjesMaHzTGpeyRGMG6yKxquLSbEbNjrA/P0y82sS4juF6XRGJZ2ogMS8eTj2zx3LkpgWVWvKHIU2JBSsKwjKZw5rxnc2uZO26VXH9oTK8X0dqAzDAqJMAXA7Oq5NFH+jzx9A4bG4KN1TalCcRIYy1XZw21gXEzASSrRzJ0HlFmriYGkIQuFsw3kWMnl7h6oaa62lAOLXJ2I/l0lUG+QV72MCbZ1yBVaoV5T+YDxuXU9Qa+2Wa4JFDXfQ5hPBeeHaFFQOcFg4FG6dAJUJKVSe4Tt7GtA1cujYhBUtQOv7fNmu0xzHNMbihl1p2zJCqPDY4VK5EtnNse41TEt5ay9WgUSigCgUYGrMmJxqBDw5o0LJmcPOtUuVJCVHg0TjrWWgluxoXdXZrxDJoGWjuX6RCANgbqIqfNJH0fOCJ7LJuMGD2tTQT81lma1jGbTdnZ2UEq2QlJJKLL3U2Tc8TJ5EOXFKlhoSC1tsXalrquqKoZeZYsZeQ8Q7gDUcLLa1r+3jusd1hnsW1LUzeM9kYoo1geLONMltIwXLLvmc1EUr/6iLWuU0c7nG1xdcvyYJlhb0CeFSmrWaiFejZTqWI0bqcUZYnSOSo4tMtSZrGA6DxFkZJ4ru5tUjcznF9ZKG1TNcoDDueqharad9VU16nDhZOsrawyKEqCnrC+vsF4PGFzewcfA4PgyXSG6uxUYkjXcdY4Zm3NYGWV/qBHnhVpG6kR0aeoua3D7PzVc6zfPYMj086MHqIQxIVuNvF6wVGNa5yF5WAYjlYI0zXs9BDeDQiqhnIM65eJwwmWCmsdbpZEOYG5StiS51nXHs9TmokUnfG2p+meRXMlfExyb2Knzg4HQHRdpyqh8x7v5oKVZHtETP/6EBf7kUZj8gzTZW9DR1VxSeyTrh/J+5O0CJZKkmcZSgmcC5z/8pj+Uk6+pInzdvEcqb7EEKIQAu8DTdNy6qZXcurUKwnB07YNZ8+e5cyZMzz88MN88pP/ibZtF4uQLMsYDof0ej02Ny/xwAPJo9CYfXP4eaUXEugcDAZ84hOfQMokUnnkkUd46KGHrlnkeR/QWnPffffxQz/0Q+R5zoMPPsje3h6nTp36Bl+tb/x4GQy+PF78EeO+ajbCxXOXmIzGZEbjfLJccHM7lJAevM57yv4SG4cOs3vpIq1zXNmtMXnN2lJGnqfWjA+OuoVL2xFn7mBtNXLj4XMcWc8pehkqUxiVSN8CS9sEco7x0MOX2Hu8ZeOQZn3JkWUBFx2zWeDZzYJL20e48cZ1VodPs1Qq+kNJkWlMnpSoIQSaJj3Ub7ppna0xfOGRjF6pycuIJDCre+xVGeXtkC1D2ddkpUBlquPtzakNqYKivSQaUCagcsle5tiud1jKbmd16RBlXmKyHDMnq8uOC6kkPsQUfI8kLnu2qmdZXZ1gY0QrRa9fYLKIzNKEIhfHTaKP4CNGR4wyVGOHGTcMJhVlubTgn5ku7QIVcN5gbEuMDX2vWNqrGLuWYVGyUpRokxM7kaNzgWlbMxlPKLOc/nBAocqOkK8xWidbn5Bi/mKM9INhaW9C4yqWi4J+PsBIgxCSEB3OecZNzWhvxko+YGmoMEpSxUjtHN42VLZmOpsxmY6Z1g1yb0yvN0DrDCkMgmRCrnREzK3bYlfd61JR2tZS1w2TyZTxdDdRD7QiyC75JYAK+23dEBP/cl5BtE1DVVeMJntUTYUhZzIZITOFUxIZJVql1qtEdx6P+3Ym0+mUzBT0ygF5nixN5gA6RvBRpiAZEbHR0sxqVtZW8VF11TQoYmQ6GeGJDJaWqP2MS9sXaNsZbZ6hfMchlZ2CWCZAMffcc97RekvbzOiVA3plL/EKtaeuBa95zV186eEvcunSJstLS/TK9NkiFTa0VM0ePijW1o6yPFxKXo1ZhppXD4PAGIWRBlMfZ/MLz7L2Bk9cskTvwHfcz0QLxgdNCI7BSsF0W+PGx+nxOpbEIUo5wGAILlBXM2ZbVxmXz9BuPMZUOqa7NStrgSIPtC6wcegIw6Vhuq7GpHOS+36TpfP0+z0uXrhI2zqs82gfkD5gVYDgiD7xFW30Xdu9s1DyLmU9R9fFPTq8sxDh2LFjlL0SZeYK7q41xs4MtQAAIABJREFU3fFXi15J2VtiMtpJ4NAlQ3lnUzVLCLAW2ibw9Jcucctrr4dsbjUjeKkBwflomiZ5mB5osa+vr3Ps2FHe+MZ7gHTfpWzwKVVVdf6MY2azGVU1o65rmqZlOp0d4KTOjcHTro8ePcr111+/AIl7e6NFZvq8pS+l4vu+7/v47Gc/ywc+8AGyLGM0GvHDP3wvKysr3/Ri1P/S8TIYfHm8+GP+hRKws73F+fPPYaQhBruw4pi30pxraaxl1jT0+0MGmaF/aINeBpe3zvPwIyPW1wXDlYCREWsFO9uCkTrJqdtuwe3dx2DFk+cZZekpCo/RGYgc51I176aTG8yalr99SPLcI8sUpSUzEecz6rrAxiVuuvV21teeJcsD0kikkehMokyOpCTEBucdykBWCE68YpXLu6uc31KEHQcovJBkuWPYMxT9kqwf0blA65RnukhQIOFl5ZMqUkiIKhJDRnV1QF71MEWys9BGX5uagUiVBu/QQIia3A0oY5/gBEUpKIYCk2uMCUmxOa9qiUggtf6CA1RM4lahGE4M2W4kRI9BYYRO6tM8R2uBqy2ti3gZqO0erqk43FumX/QpOiNllESEgNeOTINRgsmkxoWIVJ5cg9Y5eTEgCousGnAap8C2M5R1bPRy+uUAo7PEGZMRvMa7iMoiRkam05Z6aDEmJ/hIG2dYW1PNWma7Fcb2yF3BbGvGXr6LVp0dDyUh5CgnEEogRSRGQQhp4m5tS13XTCcTtBKsrWwwHk9T9QgQIRCNQyp9gPMVO96gxdqWpqmYjidsb+6hXUlhSrY3d9Fa0wfa3BOMYXunhqg6A2NNJCS7i8YxWFoi01myp1EG3VVEFp6IQRB1pMhKRpNRUuRKvTDRzrXHZznT6ZS1wRqrSytEF5lOK7KsRApN6NDF3M5J0tnAKJmOUzdEC2W/JNM5RuZ404LTCAmvfe238dSTz3D+wnmu7k7QGhCRmTpPI7Z4xcbr6Pd7FHlObrJOlZuqloRAG3J00MQYKKdHGD95kewOSwgu+WeGJA5LCTmW1rcMl/sc8a9kuPk61npHU9VWaRSJP5j5HqVbIZtt0J7NmPJX7LUTwsDiREsMjuHKEmVZYkxqESevQ3GNz6DJNetunb2dHZzNCS6ZYeMEUSQOq4/JFL4zJUi+js4TnCdaj7cebwO2tZg8o7e8nNJLtEwKZnlAQOID2uRo02BdRdM0lKbFBk9rZ8SYI6TrkoUi2xd3OPek4obbjhCFRwjNSxUMHowGnY85BWE+pJQMBgMGg8E1oqv/HGD21YDcHCzOtwkhcPfdr+WZZ85Q1zU33PAKjhw5/P8b/cF/yXgZDL48XvSR2hdg65pH/+ZxaAUyc3jj0VkLXVKBd5bgLMFVEBoGesCydPRXe2RaMhkt8ezIsbldIpRFI3BRsb5xlFe++k7ceExmI6pdp7UC0xbIWBJMDyElPtZYO0O0lhOHBdVJwecfHDCZZEDy3hsur3HbqVP0BjlhegbRWyEUBjfLcaEg+iEyFoQ4xTXgqhw/s0jXcPz6V7D+ipO0k4YYa0xeUg41W8UjFGKHGAQiZKiQWlFz1osgVZQEASkCEkEWKjKhaDnGMFumMIbCGExn/2G0TsAuSBrvsSJxvFqpIDPosIFvbmBoBhgBeq5+pPNelCB8SxYDXS8OT8CLgNWeYmlIbBQXdi+jCkUeMloRcFmGEUOcGOOkZxo8l3ZH5P0hWTkk5oaxClhvsTZ9+oVOCRlEiSgFV9rzmHwNnxeYHvhhmrpqM6OtZszqGZvhIvlajigNLmuog2XWCpxVKBEpDCiRIXINccLFnW3KwRK1bZgwom0aRmPLeHeKCQWHVq+jclMuXd6EIjJQA0pRo12GFCpNyqqbyAk4m9pXs2qGE55XnDiOEZpLmxfY3r1IDGtYU6TcXiX3q1xd29k6R9O2VOMZW+e3MbWmZ5aJtWAiLJe2LnNIOVws0SFjZh14tagMKiXx1iFFEkxE6QiixctkC6TL1K6u60BUgqgkmVJoLxAmYPIMO63xtk2xhwrq2ZQ2zMhLw3BpyN5km6zQyYNwHEDSVR0TotFG4+vQ3TeSopeR9w1ZrsgySVXUOPbYcXusLa1x7NUbrJ0asrc1YbJdUVcVUxsp81ew3D+OKQzSGESmkWbfrNl5R3ANtXMImVFkJTtXN5CjcyANwlukcwgbkK1FNSBmM/TkKIPtu1jPr6fICrK86PaZPkgTPMo5lDLI6m7aUHPTXTsMQkmzU1OqPgMzxMgMLUzKOO4EOwiIIeAJOKFZH2im21Mm44YgcqzXZIVGW5HykdU8TWhuIp+AZHDJT7OuW+pZRTWpOHRog0Ln6bh0npNz7iqRIANKebTSrA4c25d3qWnoyyv4qIg+BysITjOZ7lHXV9i7/8usHP4nDNdXumbxAdTzEhrGaNrWHvhN/Dtt1P6/Vua+elzmtdtIKVleXuLWW2/t0pA0ZVl+S1cE5+NlMPjy+JqMGCJPPno/m2cvwPQESpSItYc4fqNiMBhQFBl5VpCbJUx2HbLso7Oc0NS09QzXOvbO3sQN7SvRWRcBJnIkEGdQ//WM6GDsX8NVN2JqW3oDzdlnn6HfW2Jj4xC93jqZOYpSfYQCEHzbsZyQjNnwzjOejrj0/5xhUCxRZCew5jhSZV0LNuCF6nhCPaxdoWpqZvWYvNDULlKLMywXy/R7PbKsRBu4+fgPcvXZLZ6ZWFg5Slb2MHmR2rVdFmuiInm8a2gbx+jcUxzTnldvHGe5XCUv8mt4MsRI4y00npltmVaeUVuxtzfDr5ygHN6EKu/E7znCVNGKxHPCB5yLtE2FG19huR1xcn2ZQa9PURRkJkMbzdPiWT588T+xfWmF+NgzaJGjc4uWitgMWenBsfUB/bIHhULIQNbuEW2kCo6d8ZQnz2xydbRFb6jRMiOikLmnvzZlY3nC4ZMV2WogNz0KOUSJJVRsU2sx7GLdDDuWXPoybD61zuTyCqGRyM4M2U0FK8WAk8dXWVkasrl9DrG2gzzkKDLJICs5kg9YKpeIUjKeCqYNuLbBtlOuTGounb/CZDLl6PVHGAxLsl7WmS+nHr6OqSV4ITxM07SMemOaWU2zfQV7qeHwymGKskwA3egkhukUo8YHZLCY9RxrA7PZFnt+i/VvW8OvtDh5kcuNZ7Q9QdTrZLJEa4MpUmVVS4G1jituwsVt1yl8W5q2ptcrefe7f5w8XyOVsegslmKym/GR//gf/y/OnDlD0StTG1Qrnt7ZQWnD8HrJEmvEYAm+xeNw3jJpLW1TU9c19977Dk6dujFVZ0RIZsxzBTKRx8dP8LmdDyXTb+9wTcSOM+L2Bkeq0xw7cgM3LN1CWZaUqtfZwKRGZh09oW6x1lI1Dbt7V9ncucjx9VMMV3ocz1+DunBXlxSz7/3ng8fpiFsN1I1jFloubu+xQs5Kbij7OSrLMKbjkimDimAjnOA0wVf87f3P0u6NGA6XGF8Zk2U5RplEH5AK2BcCOWdpXEtdT9ndrXj80jlYHpD3h+RFuTDqTj6D87Z38pp0HSfRdwp6O9rjsC6RhxRNz1JkJUbnqVXcAcKFgCkkW5nKWsRIcmH0BP/oXVOsHzMeea4+t4qrr0dkDYWKOB94+P6/4p7v+C6E3l+Av9QqhFmWEWOkaRoAyrL3DYuNnVcdz507x+rqOisryy9F/PwNGy+DwZfHiz5EjEwnl6mqCxw7MWX3ypM0eyeRLoPQILFoAVoIjFDJRkR6VGxR0RKFwwtLW6eHiAgKoQWIlBbhpSAGDy3UPtK6gsHSGru7V5hWGcsrhxBxDeF7CGWQskChyDAI7RJPUXi8aJGDIa6y1KMpMe8hTY7QOVJqFB4vNMHbzr/NU7WSvL+G0JJmvEcvzyl0TiEKtMiQAnKxRIFkWAyxxQY6K7roL7ngCsUIQYISHkRFqaYsUdNTfYwR5FpSGMX/y96bxdpynmd6zz9W1Zr2cOaJM0VSFE2raaspUrIl2ZbdMZC03e3uIDKcpC9iGAgMX/jCHcSNNOQOGo12Oog7ducqQoDctJPYCRBYtttWS6GoyWyRkimK0znkmc8+e1xjVf1TLv5aax/KlETZkkib/Il9iHN27Vpr7VWr6qvve9/nLQpDWZbZhdpEogsEmQgKaq0o+iPcxhrGljllRWkyrLnLAxZZiK5SgzBDquYGReh3XyWFtlhhUfuSK6/sUKg+QluikNSxzRFZzrN3vWXv4Bonj5YUusyIHpUL28Ui8NIr15k7je3fTtIFSSqkkMQIezdbtrZmvHLxVd71I3scv6cmGklPGBKKmkATF+y9qnnhUyPGF05g0iZKligDGejtCEXD9dmcgxevc/e5hl5PM+w1DKXICSZGEWyiNZIoBN7OSakhpDbrt2gIqWYwKrA9iaoSsgxIk7lzS0NICInkMgDb9KGdCyY7E9artZw+oiRGCoyUrxGyJyEIQaKMQtNCAc1Ms31tm6qyeNcymSzo6QFBZTai0AJdGMqqyBemuqGpm2xSiA4vHB7PeHrArJ7RG2y+7mduMZmxtX29K+Ky7VVoQVIJaQSmKFASvPO0TYvIPliIcQVwvnT1Evc9cC9CRBIakUSGHCdBFJ5p3GOW9mmjx/mGOLakS+cYHJxl89Rx+msjBr0eZak6aUP+PNya4ZyEpEAwGG7iPahCYk0fYwqsMGihULeAoKPIWr3WtphQI4sFMzNDW4O0BqkKpLIobdHWdK77fAOhW42LlkoOQUm0KNGpQKcCg8WInFcNIvMSI0AkJglJ05MlpSlpMCQ0IQpkkjkWshvfyw4p5RM5wSfJTr+pAE2lS0osJhlU0mg0Br3KN44x4Z3D5RY1CoHRNaXtUYcrtO0uk7EhxRMYmyBavIwI4Rjv7vDKC1/nzgfe3bXA3nqVjRCCoihew/B7s7twg8GA3/md32FtbcgHP/hB7r33Xnq93pv6nN4K600vBpfVetu2r6G4f7MVQlzdaczn89doAg5dC69dZVl+z7N+v3HVdX2LXuKbr6ZpOnNCzXw+/4bvfvPX89pQ+m++YozUdf0Nv6flvnnN/pumJcbIbDbvTpKvt+3hc5JSURQZHpqfS4CkiHHB3tZLjPoGbwZo69mz55nPAz5EQrCEaAkp0sZA8g69mJGkIIaA84EUAi7M2Z3uUdkhlRmgpSYRcLHNI5kUERLWNtYROrF7ZZ+y7FFVfbSxKJ0vFFobjM6OXCFMB5bNJ2CTEhsbm+ylbaaTA1pnMbrssmsjPmU9mA+Oul1QViXSVBldIhVlWVGYAqUVRokcgZY0Wih0UaKrPkImwvgqfrGDDtM82qo2sYPjxGIdqUa4oo9wTR4bC9HlVGStYVFYnHOoVuNl0421sinEmhJVDdDGItsDOLhOXExIyYEtkIMz9KoN2qoHrodcyLx/0ckFpUQqgy6HVL2jaGmRSpJkglSSYsKElqAd83aCLEesrxWILks3tJEL169TqwG94RqqKJDaImSXAZtAR0cRB7irA577vSuInzrg9MM1UUW8UKTkmb404qv/zwh/cI7KrKGVRqp8oV6O4XR0mGKAm0+5ttfwnmPrKBsRriVoRYqe2klCmCNEwoe2yz3OnD3ns6NwsG5RhUDYXLRoYzvMiOmMJG2O1YsJay2u9NSxZmArii6OTN2SQqG0BjISRvjQOWElJmj6RZ+9K1Ma3UAV6K+XjEzFvsgGDqnAGEWvl0dVwQe8bPP7I5bWAEVIMbt+SYiOE5g6d7RIicUsC+2X3efl+yulwGjFsJ+7mdPZLAOug8w6uI5pJ4Rkb+9gZf7KfqOYH6tzq97cuknjoG0bGPcQV26jvHkbx6tz2UhS2lUyi14aJZZGmxhXiR25Mx5xvSHBx85UlEf32qisFxWZhxh9ANqcP2xUnhJ0QOyl9k52X0qpPMYvLa6uqQO0KrudnQItFEYojMjQ66IwVGUBCJq6yeYsHwlSEaWi1JrSWLyUKJG/ZAftLrRlUFUURjNbLIiLSFD5RkKIkFmCytDTBVoqhOqet1RYpSmLIo/2nacBfASlPCYIgjRYrdjdbWgmJX5+lsqcQVpJ8BHReiChfeCFrz7D8dOn6a+vr07PK1/xGzAYG6N44okn+PM/f/bbXUr+Cmt5jXmrFKuJEydO8OlPf5onn/wcJ06c5JFH/haPP/44t99+2/e9VnirrDe9GFyu3/zN/4Gvfe25N7RtjJF/9a/+R+Db32WklPhn/+w3uOOO2//Kz/E7Wb/xG/89Fy5c+JbP71Yu1T//5//iDd8x/ct/+S84efLkG3I/XblylX/8j/+bb7nNcj9LPtYv/VJmNH27fd977738k3/y396yn4yAmB1cRVLTKzStlEQkIdbU4YD5YkhVCkqbs2eDyFm0aRmtlRI+BLyP9AY9otxma+caVhU5RUArytJiyiKPGwRMFmNiCDRNy/r6GlrJXExIie5SAIy12CLH1bVNTgsIKaJi1kz1B31ccGilmU0mtHWLsTnX1GiNLiR9W+FjYGd3B9e2DHqDXBBIlSPzpEFLRSDhksdYwXT3VerLTzFor9LTgVLl1+mSJqg+bNzL4Ox7mfUGhL3dTjifsp4vZXfnfD7PxW9oO9SFICSJJ5JMjwpP8+qXCTefpQq7FDIgiXgU81TR9E+hbn8MXY5yJF1MtElRsAQpO6L3FLZAyAKpuszhbhQZg0IKixdwfWfOyeNHKYo8Pry6t8POZEHRP4Yt+0iju26sWrk0U7DEVCOloG1O89VPeYbHA/LsHpGE2y95+g8HhINzVHYdZWzuPEq1uvdIKSFD14kTgtm8Zeeg5ezJAu/mUCS0T/iYSNKBkPgUcSFkB3uTaGctwYVsOuiOD6lEVxiUlGVF27aQAsGLLjVGoY3BFqCCQdziUFwVHybDn13bElODjBEZYx4nKonxgvF4yuaRdYq+RWmTL48dfsR3oGPRwYtvZdblD5ZDiYRRZf6rWN40y1sKw5zUA5Jl0Mky4ejWu8BvTK4QqUvmTQmBBxEhKSCAWNrfM7h5MYVmohj4uznHo8xrw9RP6A9LCltiTB5N59edta5L/uAS77EU8ZtoKcuC8XgMJJSSKGEwymCNxliVcUFNhomnYIgShPKkwyp5+UJz3SNuiRHsXrdY/XvK6SZdRrdGYmR+/xCCxjuSE0QpCFISpCAqRVKKJPPvNHWPtcwG1kZjC8uibXMBsXxOHeYlSUFUgijkClqdBAglUcZQVBVQ45sWkyIJA9ITpUBi2bm4hhEbVPYEVTlCm5wGk93vuTBNrePpL3yB9//4j6O0fp3WwTdfQgh+/dd/nU9+8pNcunTxO/jJv/4rA77z+7S9vc3ly5e5fPkyZ8+eeacYfLPXYUTXG9/+1v9/m63/ks/qL7+Wr+WNvqa/cAF4A9u/0eLxjTyHWx/7jf5uU8rIgFtTRppmj7beprKCKDWIRCARYsHa+oDxwZiqNBiTdUlJSGIsCF0qRSIbI7wLHZkmMW9neOM5vnmc4XCUL8DarOj+sWOinTlzpktRyF2pVQqAFBij6fd7KCWZpAneyW6b7ouc5DCbT3FNS9mrGIyGFGWJVWqF38gdJs9iPmc6ndK6hr4cHD6eguAi8zZx7eYzqPEL3FG2jEayKyDy6CyliA9TZvtfZm98nuHx97Hwkdp7bIioEGh9Fl67DoAbvaMJWaQe2oa5i5iBY/Ls77HprrNReIQtkbJAJ9/BrWtm7kX2/vwS8fRjCDOgdQ4dfHZby4y+cM7nEZuy+bXKhEi5cExSgvAAzOaOa9tz7r/7CPO54+VXtzDlOrqskLYD6i4zeZfHpxT4CAKDTRI/uZ3nPvMcD/29BVoKXvicpL5xP327hixsLgZlLrZWvLmQiF27LAlBSiNeubpPcSSyUSwoVYH0mtZGkm6QSWaAsw/4OrCY1xyMx7TOkbr3e3m8iSX4XCu8z/8quqIhdVd4yWEhKkTupkkp0casclbnQNuleKwKEyExhWS0MaDsFZgid7VSDESRi/22bYkxF3g5q9i/Js0kxsRoOGA4HOR0lxRJ+FwISg1C0Bv06PV6zCZNZt2lw9QU5xzT6WwVnbYEcS/RHLGLzjt65BSwvBGQXXGZf1OKxO2D+6nUf8VQnSYcJF6ML1DrBlsWK/bbskhe5h4vC8K2zXrBGDPrLYTwDfny5Jg5ZTCmpFdWtG2N8wuihCQcQgSUjCgpiOEw7m/5On2Xcd56d+jsjbm7T8xkgZQCkcPtF/OaJAW+21bEhI7ZFJRiJIZAioKUQu5Qp0RMOXVmOp9TNw2Nc/iYf57lYxFJ8XCfogMIiqiIIbuMEwtCB0z3OGLMjnUZBT4JRH0bsigRQqENWGNoG40QbXcGzsfxtcuXeeWFF7j7gQdWBfDykvftmoObm5t87GMf+5bn+b9JK6XEbDbjX//r/5k77ridRx99lMceez8bGxt8s0nc22W9ZYrB7+V6ozXWrQXW8gSzHG38ZSzv30lx952uN1t3kVcmRgsyFyxFxwvPPcWZ4xVWm6yj6Rhc3ljKqmayVTHdiSjTEKSgl3R2dsqcApwF1TEL8BcN09kMUxScPHGa0dqInu1hTNEJsPPPxJSI1qGtYT6f0zYtqQiHb3zHUHPOEcKtebS3FMCAJCd09PsD1jfWsUWVH0up1U1/6uLLrM6csv3xAbYoKNZKlhm180XD1s1rFLPnuW3UsFEWqEpglOpcvhCSIESJ1RHd7LB//UtMuZ3FYkFpLFoun0/KBoWui9REn00ni5raeWaXP8/RcIWNvqK0FqUz3FpiyFFXCmFKjKzZuv55mtEDTMs1inpKK6usc4sCFyKyG31qrXMxGCUuOryXKAQpaYTtcWNnyoP3nWHvYJeZE5iyh1QGqQ1K50JAdwVhIuF9BJ9wKWvzylBx8MoR9q/tUPYbrn/tFIUq0EaBtiuBvta6GxeSuWs5ZpYUE9FUNHXD1sUtTJFISZIqgQ468/OEzHq4Nl/w29azMVpntjfPnWcCNuou8SOu5BphGU0XMhBdxAQ+doklrz1mWB4PPhfKrydziSIRNOhex26UEiMlITokASFkJ5FZ3tgkXgvKDbgQuO2O24hpj4sXv8L++DwhzFDS0O+d49jxh+lVZzh54iTP771IiBoV1argWY5pb01MWaWyRIePGZFy511nCH7OfHGF+fQmkZayPMqgfw5j+9x14t0Mrh2hcY6pqgmAUAKlisOO3C2F8DLdQUq5etxbU1yW2+WOIRAEKYguRabFeU9KHpLvCnNJShKrTcbwdIWtUmqVHHM45YhEn2PpdhdzdqY1R0TiqFJobWmjB5d5nUAuwEPABcfuYsz2wQ570wnjeo6PCiHJaTxKEbzErYpYmU0u3c8n73FtQzObEuo5V2OiSYGjbHJEryGTQjmHhHw+SqkrCCUtDXvthO3xlP35Dv0STmxmc9BiXtOqQNu6VR52ZlyCCJFn/uxL3HHPPShjugLw218f3hrXkO//On/+PP/wH/4Dzp49izHmG7779vydwFuoGPz7f//v8dGPfvR7su8TJ45/222WAufnn3+eJ574LBcuXMA5x/r6Oj/wAz/ABz/4QTY21m+5k/3WB83HPvafvY4G8Luz1tfXV8/52z2PI0eO8Cu/8ivfE9fUYNBfzk5ABHZvvsr+zSscGZ6lv7ZOSiBTQskMgjYqpykcbO2i5ASxcY7YqzA2oruuS4wRFyOucWzv7OK85/iRE6yN1qnKHqVeOvoO8QwxRULUHbJBMZ1OWdRzCluuLkLOeeJsni8+7tYs2ZBdvcHTtAu0VqytrdMrB1hTdh0PheygwzHmrp0UenWR29ndYdAfYpQheMnl2R6LyQXu6i0YVgNsmWOljFqmkAhSEjm1Ao+XPZju0aQBuwswulht48Nh7FcKkSY45ouG/caxmG8xaq6wPrSUhaGwAq1AKJW7XyGhQo57swhinLE1fpGx+gHUPBdrIQmUAucDqoNC59QNSfSRhc8mg6RyR0RpxXzuiEmzP56RVIFSh7FeSimM1pSdmD+EQC4bcofFp4R0hlT32Hkl0j8WaccDeqboupJZa2a0prAGqw0xBBaypWlzkoqUEakUWlk2/BHaC1eJ04b6pEFXBiNMHps6CNOE2wmYRqOSwk4tcZHwbSDoHDPnZJYNONfmjm1XZCQf8K2nbRq8iwT12pzj5Q1GnM0A8M69ZhQau65UlAmps4gvMwGzYUGQ+XD5GD00Fi2PzZyI4iit5M47DV999n9Fiqv0KkVh823YbPEiuy88xdnTH+HBd9/O1577Gt771xhb4LBQPUxM6YpNn/Cu5eTxTYb9mue+/r8xr89jRYsQ4AJIc44TJx+lX95P0hqiR6mYM4WjQiS/2veta3lOvTWu7RsnIMu/5+5YRMQa10653uyz624wa/aJLiBSRZGGKCqEVtTjKU3TvGYUDRBi7Po7keShjZ6ZCLzaTLk8n7Kxt83dJ85wfHSEbBwJCBIuRXYWY168/ApXZ/s4AUpp6PWQJOpZzaJ29AdD+sMhiewCptM/xhCo5zMO9vfwzqGEQFUV+xL2FmNemYzZ3Km48/gpzmwcJ7RZGxwE+BiZzKe8dOMyl2c3aZNEy8D+dIEhcPToMVJoEbTEJdC6A6W33nMwPqDd8zz1uSd53wc+mGMnl1KB797p/q/9Wh53Dz300F9o8Lyz3gLF4PJNue+++77r+16NL99AJdQ0DZ/4xCd45plneOyxD/BzP/dzVFXF9es3+PznP88f//Ef84/+0X/Je9/73je0vwcffPd39Ph/mfVG9tvrVfzwDz/yPXsey9cYXM321stYJZjPa45taoRwiA6qLBFoIYkyEBaGydXPE+vLqPW7KcsNtMpj35QCzjtmk10O9ub0ewPWhkMqm519S4SEkjkijG7MpXyXFQv40lPXNc632V0bJalpUU52PLHUkey7TNkQaJqa2i04snmcoqqwtsTo7DZUUnddLjLG5/qFAAAgAElEQVSgWGYNkhCRXq9H0zTs7G5TnCiIMXHxxnWOqzlVz1CZPKIutEQZjdS5uCNEnM+yrL4IyFJQzW8yHd3DtXFN4z29XkAuO9OASJ62DUzmnlmvT9i9yWYBpRUUlswk7DRbQpANGt6TpEGT6BkYNBP2CeyminAwoepFtGyY1TIXWFox6FX0ewX1vCXMA8FBCCDJnR2XJDFp6qZBKIWUoG7Raxml6JUlw36fum6ILAhR4gUIoUE1CCoWW5YkIsSCJIpO3hbzPrSiX5YM+z3apiXMsvkoukRYjmuVwFUNG9WIuNsyHu8jNxUySYq6wCZLL1jKOMCmAkHWjm7d2MH2Da0WoPI4NIRcQC0Lk+C6aLu6zmPrCupFSxEtKgSClHjniSkhu85gjBHnfe70dJ2q0DqaWCNT0Y1kIQCta0morIW8pZhZ7mdZCHrv+IH3bDKbPslwuM9ooDGmzCzCBN4bFvWcK9f+iLX1x7nvvnfxwgvnV123ZVH6jZDsJUbFtS1aRB5494CXX/nfGQz2OLFZIKxFJkkKkVl9iWuXrzIoP4jS92cjhdIUpWV/39G2/jXdxsMbMLe6YV0Wn6sc5hRXZsCsE26ZNjd5ZfervNI8zThdJTBHyJz2AQHlS3ruBD1/mmE8h5nrzryTX9cSzC5FVsymIGiDRxaWcriGJ7LbtoyvnufM9IB3nbqdntAkkbiwdZWvX7vI3CRsv0dPWeicxlmnGwi+ZT6d0DQNaxsbSJW1oikGppMDZuMx1mgGgx5SGxB5okDMgOo917B/6WX2pmPuO3k7pdTEFNma7PPU1ZdohEH2+5RSY4FhTzCdHqC1ZDQaZPd3Ml1coGc8nrB1YwuhJGWv5KXnnuPOe+7h6Jkzf5UzOm+HEvLtnjbyeutNLwbhzSuWUgfgjTHx27/9b5hMxnz84x/n6NGjq20eeOB+PvShH+HJJz/H7/zO/8Iv//J/zUMPPfRdefzv1/rePY+lfS2wv/MSMsyRUtM2WRsURVjC0MjpoHmsodw9BD9CVn9GihfYk/fgxQmSHOD8AWJ+Hd1egPoM/f4PZd5eNz5UXUTaUqguyCNE3520k4wEU+DahlkzQ3YXi+xc7YrB7k7eBU/rPY1rGc8mKGmoygrbdbqWo8rsjFQQEz5k/VxO8kgUqqQqS8bjA45sHEULiWhnjEYBbSxGaJSUeXxqNMYWSKlyt0PULIRARnJChXDUMrHfP8rW/jZliAil6ARsyBiJroXeCBsmVH6K6clsiNAJo1V2QtsSoSLBeYTIDtSoNNoEKpPYWWzj1+9lZ7tG+UBShqmTiBSQQqCkQEuNlI4kVtbS5dEE5It3CEvlXegczofHm5Sqc9u23T9LRGd8EOQLsHeR0ARUVAgRVgUholPqSToN2jJBpcOxsDQGJMSmJJ2MVJOStdlpLl69igyaNTNiWPYpbYEyuWsphKBKBWHmmN1sSKbT+hsNVmMQePKFlibQzh2+cawf3SSGwOS5Cb22RMuckw0BkQJKKGQSeAI+dsWgi7TOM25n+KHHOwU+kUIiichiviAqeVioyYwDImY9XOsbnHM8+sMPc+LkBYzZY9gvqCqJLUR2WieB8x6pFCm2jMdP8eMf+QfcuLbFZDJFJEE06ZZiML2mGGw7xuDfft+d9PsXGQ0nDIZFThzREiEiPiiEVRjVMJ1fplT3QsyykKrsESPMF4vcIQ2OEHTuZsuQJRy3aKcPR9+Zx+fbHN3WxppXx1/h2cWfsDDXUcMGZcF2qSbLojaFGfP2AuP6PDfFOuP5I9y7+GFIGx1AOGNfUmd6CT6yv39A2wZsWaBiIipDVIaLkz2EVty3cYKtg13+w5WXUVUvj7WtQUudE3VWxrqIcjnTvKlrDnZ2GW2sI4D5bMp0MqaoehRltXLC55SRbM6JISCMxGvFS3tbQOKeY6fZn894+vIrtJXGFiVaGaSWaBKFLZDecjDeoyhtx7PMhfd0OuXK1cv0ej0GgwHWWqwyfO3pp/mRU6cP9brfcWbxW+Oa9b1Yb5Xr8Vt1vSWKwTdrifw55cknn+TixYv803/63zEaDV9nO8Hjjz9GXdd84hOf4OMf//g7XCI4TBpp95gfXM88MgIx5o5G8CEHtYfcLUg+0M4szh9FxL/D7jyxNhhRVqcQZg2kJkWN7HkmV59FC4cwFVpZpFwK1LP2qigsRZE7cc45WGT9Voi5eFBaUS/mGKGYB4ghnxSVzjmVSoPzjqZpmU+nRB86Y0qGyeYuQ44Ly8H2lhQTddOsxsVRZm2cMQYfPNPJFNW0FMdPEdKcpGswAaFAqlyo9aoR1hYs5hNSDOjoSDLhpaLVhuvbB4ThBtXJO9FFiVCmyyQGEVu8D9SNx40zcgc1AQVSZCSMMgVVv8SYksV8AiHQSIGSPseeaUvtNYvZgmL9FKKo0FpjxzP8bBsXItPFgtY5nM9d0xg9EdcJ77NuTiSPUjKP2VO+oZIxdQDeyLyuOxBvoPWBGBUxtRAVxICIDlM5tF0QUnZQEwMp6SywD4F53eQunQ84F3L8V8ww7ZhyrJ7tSYbHStpey971GWZmOTU4wajfp7g111kIkJl7eLu5jYvTSxxcnpCOR4pSIwqVzS0i4X0izFoWjWe02SekhlAJ6mLGeFGQ5JAIaCQqSjQmH/spkIKnDZ5F6xjXYyZijLUFYSFYtC14gURz77338vLXX6FtWpRWq85dDJCSZzQa8qH/6Ce4+84BX3/+C6ytaYpKUpSaoqiQushcujBBCE/wknkzwYcr/Of/xc/ze7/3f3Pp4mW0NStTx7LLtRxva635qZ/8CY4du8G83qPfL6jKgqIQHVpK4r0D5ZDJsNVu8fz0MwzkcUpGmIFGFoqDyYyNeUNhSqT0CNkiUiR2edq3cga994TG4eqWvfk++80WF689yZXRl9DrNcUgIi15UiAlQsbO2C5JEZIXhF4klAdcP3iCem+H++sfYVQdoyjKnKYiBM61HByMMSYz7nQSiJhB71FKkIJLu9ukpuXi1cuwMUBXOQta6s5t3v3O6AwnUXaaRymYz6ZMDvYxWjM52KfX72PLDPtWyrymGMyO+oAMy0jJxCs7WyAkN/f38FZSlD20sfl1a4khobRF2h6udUwnDUVhgJq69rx66VUGgz7D4ZCqrDLxQCkW4wmXz5/n3N33dPdt4m9yfffO+i6ut3UxCJIQPH/yJ3/KT//0TzMajXg9N9HyjuJDH/oQn/zkH/DMM8/w/ve///v8XN96K4e0txzsXoDguvGWw+gBzrV4H3FtYL5oODiYMJ/NCaJPGlzBWMvm6Q8wWOtjKouSNqeLpMj4+iW0mlMWkpqOV9e5giWdQ9MY+oOK4CPT6aEwXQhWF6DZdM7ioEEJhRKqq/4hEJEajM3Cc60sWtiVnm+5HylyGsLSiex9ThlwbpnMwMoxKpBsb+1gdMHw0fcwnW8yDM8xFGNsVJ0zWqycznSYiYTGi8QuFZfMXejNOxhWQ7Qt81hZHfL6PAXWOyrrmdu7GE8MN9uvU4l9VOyCsWRE0BU/QgIKlRo8MEsDrpizpM276fePUFqTDRtS0HaMSeeyC7l2jhRTLgg7XWUM2WxRaIFWidGgIl3fJsYeKQREZ35ofb4G1T7vI/hAWDL/YkOIniBrzPoEWTbEYocYj5KiIflElAHn82i89T4z6VzMHbfkb9F5tiipKXoaLSKcrNC1pVhoisKs0lsy+kdC153WoeJObmNnscONV/ZZ9GrcELRORBLBR1wbscZSH0wISiC9wJ+E3d0Jvk2M4oCeLghK4GR2fceUsgav9UzaCTvsEY/CWhyhFzDbO8AqQVsafu7nfpbrl7Z44fmXuHr1auZWas36xgZ33nGWd917H+vrQ65dfxKp5pnBp+hcuhVS9kAmkqjxOqAVGOOZzS5x7tyH+djH/lO+/OVn+OqfP8v29jZ1nV3jUknKouCee+7i0Ucf5dyZYzz73L+hKl3GumiFNRplK0QyKDkhJU+wkrF4lS/N/wgZS0p/lF48jStL1GzAzt4Whcm5xVEkoo4rhzEc6gedczSNYzpfcGPxMs83n0KfHqOPOHRPoUqJMrIDtEeQIsOvl87nkBAGghEYs2Asv8pLB4l7Fz/KfD5EqcNUj36vT6/Xp0xgPbgOyQKgUsIXjpe2r0Oh0B2hQK2+9GFKCJ2pRyx1l5GytMymU2bO5ULOZkOZ1Dr//DJLfDmqF3LVrIs20JaWF7euIK3FVAOUzi76ZTGoiflmSyWkEiwWU5LQxJC4dn0PqTS9Xo/C2qxH7uIqldRcfOEFTp45g66qd+rAd9YbXm/zYjDzhi5dusR73/uDr2uyuLW1rJTi4Ycf5utff55HH330nbZzSiymN2hmu3gncL4h+EhZlDjnmExnbG/vsFjU2RRQFpy6HWLYwbUNSYIylmG/QkuDRBD8hCs3n2at9BgJC38Ius5m3fzfsnCJIa26Vcs/U8pgXiMMVTFAK/ua+CcfA87XLCZzEokjm+tM4yyjILqLDnTO1ZSIMXRO5JCRE51reLUNoISmXwwxRYUfHmdWVdw4EPTTV6lS3WEqWhaLCW2jCKEhhoD0kWmseDWcJazdR68/wHR4FaXVKu4skdBR4E0k2TlloWnMXdzcswz9s/TVLsobgm+p6ylNYwl+gQ8BYmBBxWXO0IzupRwezfF4xiK0QQsQaoYLnpQkIfr8WUgyu1tjzKkc3hPdgiPrFck7NtZ7mFQT2oaoDdE7EInUdVKWrfcUUi4AfY7tap1H9y+h7QEigh1dwu/ehpY9UA3B20PUlFh2szq9Ztd1jq4hxTmDwQhrAj4VVNHgjo+JNwNaZNZdBo5rpMpvlI4JLyMplWxUx7Ftj92dba6P9zDHM8Ij+UA5KBiYgsH1MWKRiMeHtCcs9UZgvjOl2a4ZzoZUsshJH2TZQONbJm7C3EwRJ0CWgiYtqF1iPnNEU9MPGmsUd999B3fddWc3Qu0ygZVCyohIh+7i5RJi2alaFvqZKyhYSgmyNk2InLLwgQ88xvve90Ps7Oyyu7tP8J7+oMfm5ibr62udkWWGDwsqaVAKpAIpDUr0s+ZNOpRoM/al8hRHHCk6Fn7GtLlAYEC19S7EnqA0hrpZIE3HDDSGorAr6H8eTbeMpwdEH3nojkfoRceL9k8wPY8sE6rQKCVQcmmEooNUd5/rkBAqYVU+PhcbsM0LnOFBzqlT1NOa8XjK2tqIfr9PWVaUdaJsEipmXJOICVREmYJUFkiRciG45EfqbIKyy4SRmHDSd+cDjdQxF28iaxKNNXm8qzLYXmu90hsjslEsiKw5Vill/JK1NG1LYW1XPMp806KynKSQIGPu6kmlmMxrap9xW/N2zubaOoW1nWSm01FrjVWaGDwXX36Ru979ntVx8c56Z3279bYvBtu2pWka1tfXO1Hpt9JYJNbXNzl//vz38ym+ZVeMCw52XsU3LU3bMl3MsR0j7sbWNju7e5RlxcbGBtYo0CCT7oqrkkWT2W9JBk4dP4KRivH+LtHfoCwVEPG+JURHTJ4UTVeYhBUKJKWUNYMhEGLuGmWsRKCwPfpmlDU84tBhF2LEe4NVlnm9YDaZoZWgdi0xxJW4XcmA95Kmdng/A1JXgGYhfEj5Mb33KKEY9kZIbZhXBVUM1OIOrh7MGMTnkd7ni1qMCCkOuWhRcnFxnLp3B1V/SK8ooCxzAatk1+XMmsFAyA4Er7I5B0uIJ7lyMGEQFmzIQGodIjiiKCDm5JQmSq62Rzio7sYOj1JUPZQtQGeHsyYnnQTnQUIMneMZkTEuscW7QGwW6DTn1LHT1E1NZRVnjg55ZWeatY0oFBmBE0NYdWJTXOYwe0LTEOspa+uRdPE0AVjTPfbqKV70STrHoOVOpF69Z3mfjhA8sW3x9ZRjI8vRowOMmRJFRIREWVmcjcjYjfCVQVuFtKob89fMmJMMyCTpiZKgN5j5mvFihg+B0eY668og/uBp1p+5iQowXdMU//EPot9znHmVaIzj8qUr6FajFgIRNZGEL2rUpqIoCwwK2QqEUbAm0bpgMZ+zu71LSrCoG65evcaVK9eYTqcIKVhfW+fs2ZOcPHUarRRVtU6MJhfCYam7a/KtT+y6pX7JJ5QMymMsf2lCCKy1bG5uYowhBI+1lsGgfwveRSJFQYySmLIMIMYA0RNFS0g+j2dDQmiwfUPCI4MmukB0Ab3fcuz4MYaDXKAoK1eMyvl8zmQyWbmbZ7MZN2/s8Lff/wgPv+dhHnD38LuvXmOn+A/I0qN0XKGmUGrFzVuaToTv3OQkfKkwJGJY8PyNf8+dZx6iF/s4H7pCsMTagl5PUjkPjSOkTBCQoWMiGoMkZd1nN9ZWSmKtoVeUGK1pnEO0WRqSYuhg5Son14SYk42k6qgDXUKJNZRlRmDVTU2d2q7DrpHCdz+/7EDm/WWHfHbzD4xGTiGSP1dHTxU88NB7GK3dzRP//t8xPxhnDfUyElEpjDbYIueq79/Yoj43oRyN3hBm5p31znrbF4PGGKy1jMcHbGxskBKv2yGEfHLd399nOBx0/7K8a3+7fNgOu3SQGO9eZjHbxteBaTNhPms5cXSD7d1t9vcnrI1GVL0c2aR1RmpkUXnC2YixBqst44MJ21Jz9sxpiB6LR4tOo7eY4VxDMCVRZd2O95k9F3xnTokRH8MKt5BdmJHKDii0XUVXJSFIhKzzEuQMVKGYzsZEEou6oXUNhSkIyhA6EXwiIW9BhrjQ4R2CxwVH27aUpkdlK5IyBK2J9LBBsihu58Zim3PiBqRc2EI39o2JK27EtjxFUW0iqhKsQeuc5LCENwspEEmiO15iEJoljnkRR8zdbVyb7VHKi5RJkXwkCUdMghRaxnHEDXEa3d/ElFWX4aqQOrtCkRYhNL6tiapAyy7JIkkSnugd3jX4esbZzQIRFozHDYrAsY0eV7Yn1PMJEgWxIOpA0qBS1p2F5InBEVtHrPc4sWY4OXoE67Pr2Q1bBic817YP8KKHsCCVJciM34CcUBOiI7QBt5iT3JTTR05iosjJLwS8DmAFTemhEasLs1ee3WabrXaPuRwjZQtCIVNFkQzGW4q5BhcZbA4ohz3889c49tRVblcblH3NePeAl598ieqhs6RSIY411LKlL/tEH9i/uk8cC4ZiQH9cUhx0LMwk8MLhaIlrnsFJS3AFz/7583z+s1/i+o0bhHDo9hUJjNXceeed/OiPfoDjx88g1RqL5jpFocgytjlKttk57xtcm2haR9sUbJ65p3vvElevXueZZ57hxRdfYjqdZROE1mysr3P//ffxyCOPMBwUlNVR6voS3im8d0iVdZlJhm7sn13SKYIpNJGIjIkw6cPVu7ir/zhH+ifomSHaSJROCLI+c+mKns1mzGYzFosFTTMFAQ5BROVOm5EZLWRU7k4qASqn0AgSMsbcXZeZHwggUegQSIXADa5yYfo0R+r7qYpeBl53XbNeVVDULY3zh/KMldlJkkTH8hSC2I12lZRUZUFVVsjFHOddhsULQZLk7aVGioxxWu43y0YURikGZYk2hhhzR3SZQMLSBCWWkaKdDCbLWrOTvleRJnElh6jWdpjGL3Ksf4aYWAHQZZcBnl38mrIqsWVBPa+5/PLL3PODD4O4NVr0nfWtVkqpi2/NxqWiKF6DaFp+D+giLFV3vTlkXCqVdel/3dbbuhhMKdHrVZw7d44vf/lpPvKRD/OtCjvvA1/5ytP8zM/8zBvmDf7NWcshbO72+HaPG9depqnn+Flkd7JHT/eZzmumsxlroxGDfq/TbulV2kBGu0R0iDk2LsdxsLc/ZvPIOj1bEbsumJKK6XTGYDjDmgols/0zpWzeCB3uJcOVAy4GGtfQNDUySnp2gFYmX5SVynfIKce8RamIUqKFoAoVbd0QQ2Q+m1GYLAJfMcRSBH+YduKDy8H2vskMuiayub6JUQXJKJqu26CDxvXW2a5PsuFu0gttxuGQx8xNkNxoR6S1DVRR5i6d0lkzpQxGdfgcKUhJQtL4EEjCZUh2AmM9sRxxc3GSI/UNUDOUSsik8SLiA1zzI/zgDH1TZB2iyUkjK22TUsiUcLMZwmQHsRCSIBIp5Kxe18wYWU+hBM2iQRmVO0kicOJIwavXdpmEmrLcQJkSYSDGPOaL0RGcR/oFt58ccOr4iKIwuashBCEFhr1Ivz/n1cu7NG1E2bZDd7AaNbexwS1aaMacPKGRyeGTJspElDkuLqkWGWVO6hBwvb7JlclFwkZAHykojUWoIt9E+MhiMWO2M2cxW6BLQzUoKUqDO6gpg6boW/ob69TzBWoyRwuJt4KQPGVZMLsyY7Q+Yq23jl5o1lWfylZ5FChyXFxIAR889bRl/8V9xFHJ7/4f/xdGFhhjqSq90qlmbV3kpZdf5sKFl/nJn/pxTp94P5cu/b9o1ZKSxPuA0oKEwreJpm4ZjxOD/ntYW7ubum741Kc+w5e+9BQ+hBWLT8rcrbu5vcvVT32GL3zxz/ixj3yYO+58mAvnX2A+n+TRcUxonSPoQnS0NczrmjYE1EAgkiEcaMLLJ3mg+hDHqlNUvXKl0ZQdWD13GQ/NKlprvMsO4j/48v/JS+5z+GKPg/4FlE6gQEtQSiBMlysuVHfOyUVRCL6TaQRUjKAkziZEBS/ffIoynGJYnkUp2eUDa1xXkKaObCCS6GL4soFQdOc0kTp4fnfT1XRpMq1zhBjJvmiBDoIQHOV8j3I6RZeGVJRdayCnw4SoqNsW3U0AVmPu7jGWV42lU3nFYCQSAjRt291wRpAzzpxTeHGFT/7h/8T04BSVGnSu6e6snNlTXQxA/mP/5k32trbYPHGqO3MfwgffLIDM9xq39ldd165d493vfvcK+fTEE0/w4IMPklLi2Wef5aMf/Sizjiv62c9+lgcffJBf/dVf5ROf+MRqH0IIzp49yy/8wi/wy7/8yxRF8ZZ9vbeut3UxCFkH+GM/9mF+//d/n0ce+Vusra297nYpJT796U8TY+Thhx8G3roH9Pdm5Q6NIJFS4Mqrz3Owu4WfjZntv8r+dAe1cRv7ByXrR45SVQXWaozVWHOYSAEQUkR2GqlEoiwDbVtwbWuLe89lxIwPE0rbp20iO/u7KNMjIdCucxXGfFdvrEYbjRSJ1geaekG78KyVGxmP0rl9l6zAZUpAnQRKCUxMeKuxrWJQDDnYPcAYC0JjWs+iS6hICLRRXdwauOCo6zmz8Yy+HdGz/awRMhItFRpL1AFsRa2PszdRCNkVg0JATOz5ATOxhjKDrDXqCjMlFVp1j9WJ8mWCEAVJJCIGEUHJiJaG1hiCGbC9KNFygtQBRb4Yz7xhX43AVkhtkSozGjOmJ3MFtZIMCsBNmNUCI23XxUgkscCFLY71R9x1/BSj4QBdLMX1uRNbDoaM1gacv/EKB/UusjmGFSVCSKLIxoW+Tdx5+ybHNodURU5KkUp3o/OAVo7TxyQ9Kzl/aYfdaU0QCiVSdurGhDfXGfXgjjPnOHJkgCkLtHbE0GbcSYzgBNrn5JatyQ4X5EWKM4pev8CWBqkVQlhkSgiXiFowMVMWSqBLi7IaLYHbjrJTeNYnUyZ1w9w1hHvPogcWGVuMMlSFyU7wVx0llrVqSL/o5dGfPkzICcljgsFKi3KS3a0xpamwtljp1F7DAQwJrQzOtfzRH36Kn/zxD3L86Ie5ufenON9QWZk7hCxonWI6lxTFuzl37sNMZjVf+9rzPPOVryCkpFcUf2H/KSW01jRNwx/8wR/yEz/2QY6feJSbu39KwFO5hFECUITYUDeBg2ki9tawagsnAs2Fde5wj7E+Oto5kIvD1JhvYBreCsBuW8fpO07z1Oz/49mvfIrNi5KhaanfV5B+qMDIlB30qsSokgKbO3bJ4TL+OWc/y2yWiiqhdEbozNMWizBGGNHJK/JHra4bFnVN6wO+mx6kFFd530IofPTZ7RsDISqcD10Xs80JIx0WR/qAaGrWn/0i5155HhMC25snuP7wozRHbyMqcD7RCE9Mc4TIEYBZj9t1N7vHDsGjolnpnGPMuextm5j6Oa1vaZuG4WbNidOa2aJkNn+J+UJQVHdl6UTqHPgp4UKARY13jtgGvHNc+PrXWT967Bb95Zu7vPc54egtup566inG4/EqUGA2m60K2N/6rd/i+vXrAPR6Pe677z5SSjz55JNMJhPuu+8+1tbWmEwmnD9/nl/7tV/j2rVr/OZv/uZfi1rhrfuufB/W8g16/PHH+eIXv8hv//Zv84u/+Itsbm6uvrc8oX3xi1/i3/7b3+WXfukX6ff7q+/9Zd7kW3/uMD7p8I7pLdlxTGk1IZ4cbPPsV75AO30Z3b6MbK9Qti0L/wJq7f1U5elcCBqNMSp3BlVOlkCkVXwTCULMofRlUbA9PSCq2zl6+hEm1z6dk0ukYro/RrNDW9VIJEp0aSNJkIgkkdCFRBtNWzt6xYDCVCihMdJitKEocpet9glXtwRaREpYIXHCoFSfQaFxrmF7axtXBwgSLVSXACKJXa6p0gpdSup6joqazeEmRnY4CaszCobO/awlvhixcwNIDUrn0WiKkettSXNkQCVN3lZIhNQgdaddUhgtKTTodp4NIT4wSwVzJYmKzEJTBmEG7NYVhW+xJiCSgxjYD0Pq9X53kdYrXdPySytJYRVH1i13377BjbEhkkX0SewxDS9wRAbuWr+btf6QoixQOneakshaLuMdpVKY3im20rO4RQ/rTrJoC6RQWOasV47jGwVVaTJCw8iuW6tIIaBCzvsVo5I7zvap9hVNHOKTA9USypfoVdc4lu7neG9EUQwRRUI0nrAHQUDjoW0iVQtTt+CV2avodwmqUUFpS1S5dBYL5FyzWZ5hc/Mkl/cu8Gp6kdligkAiFAzfdZK9/+Rhnv3MixRti7jrFEf+7mMsrES0eXSPzu7cwlnWqjX6RYkpbOdgXhp/ICRFVIG4dLSjWPn6pwkAACAASURBVNgW9ZpO2mFnMKqECtnw1DQLPvPZp/j5n/+79EbrXLn6BabTm0jZEoNFqhHHjv4Qt517nPlCsb+/z9333IP3iS9+8UuAyIW7FLd8lA8BzU3T8u/+9Al+9md/khPH/w7Xb3yamZpgi9y9Dj7QNkN6wwe4/azlvLhImkbKrTs41jtHz/awhV11BW99PUsA9SodJAR6vYo9dxlzs+buJwIPTHoIWXL+qwuumkh8zGKkwsgC+/+z9+bBlqZ1nefnWd7tLPfcNW/ulVmVtWRtVpFUgVC0QBuOCK12MxOMOkMMCmoAgTJK8Ie0gRGjhrYSrUZjB4EhE0i4hgHC2DSgKMVWVgG1UHtmVm735t3vPfcs7/Ys88fznptZCDEUDBRG+6u4FZF3Oed93/Mu3+f3+y6iTSy6SBRGjAM1xFucMkgrcEKADBxcocHH45BlLCxe+EbMBGVdU5RVAILGBMqBbTisRYlUEptGOB/EF1ZKKhoxjmxEZ9bijMN4Q3L5LNc/+RDHYkscJ2ysn8c8mXJxdhHnQFioECHmrzneweS+xrnQJbZ1jS1KrFDYJEbawCU0gPNjnLQUpQW5wy0v6NLqFEgd0WpLxju7jVjP4iKBc2FiQC0CKKxE4JNaS39jg9VLFzlwzVE8V8bFz9fT5dOf/gde9KK7v2HT5fmuBx54AIAbb7yRxx9/fK8L+Mwzz/Cnf/qnHDhwgMFgwO23347WmpWVFc6fP08URfzJn/wJp06dwhjDX/7lX/L617+eP/zDP+QXfuEXOHbs2PO4V99c/Q8NBiellOLNb34z73//+/nVX/1V7rnnHk6ePEmWZayurnLfffdx+vQZ3vCGn97rCsK31hm8OgLHOcfTTz/Nfffdx/LyMgAHDhzg7rvv5qabbtp7j+cfHLpAZnIKj+XsmYeR1LRiiR1vEbmc3pSkVAbTmgrKvAZsBIWcJopiVJIAHtGMbJxyaCVCFyxS4AT9fskNt/1PfH71LLmNUEKQqIxMZbR1hyRK9tJK9tTB1lCYnPF4jNYRiU4RSKQMD8JIS1rtBBennFne4Nz6iNrDlDTsjwmEdOGpjGN6apZxPiYRKUkrI5IKKcNlYgnWOZUpGe+OMNZwaN/+AAQJ+4qOmWhVpBRoHJWUrJv97JYaFTfjagd9lwVPMukQMoBtL0RjDaNQEiIt6EYGle9yaL5DPi55cisnl2kQOwmJEg4pIvrMUFYLqNqBVsG8mDZe9UgQSOFpmGl7xtBKSbRWZGnGVCfF6g46m2W3PsdO/Q9EVZ9D6cvptWaJWikqiUmkQKgmSs2DVSHqbc7vI63hzntu5uDsjXz17CaPXdgh316i2xJEkQrWG1FEEoXPXAiNsY66kjgviLWglWW0as9UughZxa78HL7zINn2cebEEeK0S5Ro4kgwOrdBtbOJUBabAV6gq5hLg8vYAzXtVkZLZUQ6QUaCSAdD7Xoz5fpr7mT/zH46qst2fx0/8lAlWC9x84LFV99F/IpTJEKTzHTY9WN8MQ6pNw3QMJUhjtqkSbJnLxIyqIOdjRdBnW2swQiDxpGImKi8kgV9xYbkSia6lRaPwvmY3dGQL/7TI7zm1T/M/n0vYJyvs7Z6iapytFoz7Fs8gRARa6un6fVm6HW7LO5bIEtSpFbMzc1TliXD4fCfATQ85MWYf/jHL/HGn/nfWZi/np3tswxHG1jv6HZ6zM6coDN1kCfNF9Fimv7qJvMcDMA3EnvdzQkYjKKQzDHxFYRw35uoiykF7adKTgxbLMz3kCpBrG2wc+825sUHGlsnSUxMTAeQOCxCRHtUkyD0m3C5Go6idFQmDx0/F0RH3jvqKvB6rfdBgGRqbFXii5wOivE4p06D8M0LGcbSzmGvciDw3uIM+LrEry8zawum2vtpd6col56h1d/A1TlSgml8M4WddEgb7p+xWFNj6xpXlEzJmLqqMWWBFMFAHy8R5Hgseb3G97+0x/ETmspWREaxf7HHzsaYfDwkq9toLZDSMKG0WNuk2Xjf5KhbHn/wIfYfOgRaNveX56eMsXz84/+dVqvFPfe89Hnaim9c3vs9MHjPPffw2GOP7YHB3//932c4HPK6172OP/qjP+Kuu+4CAkjc2tqi2+1y8uTJvYXWj//4j3Py5EkeeeQRPve5z/0rGPyXVFmW8da3vpVHH32Mz3zmXt773v+Kc44jR45wyy238MY3vqnJBP528wzDpbi7u8v73vd+zpw5w6lTp7jrrrsBwblz5/iDP/gvHD9+nDe+8WeYnv5eWEE15qnCMxpuY23B4UOH2bm4RGFHTE8p2onAuhij471IKCnDSFQKhVQRMs5CvJT3iEYRKxEgFF45pIB8tIufPciNp/5nnvnoRbyI2De9n06nQyvqXOG5iWdbxUQmCergcU5VWlINHosXoSNTes/Z5XUeWsnxnX1IqRmNd8lHmxxJIgSWwuTExMy0Z0njNlEUI5s8WSadDmVDQoOMGOUjxsOcbLaLFmGELrxA+tCZsLUj3x0yHAyQC7eABh81DxznSSqDxWOKEttqN8fahSQK31jo+AA4WsLRyyISHHKrwiED/8l56nzEaDxGTh/BLRxBygijdMhQritqK8jHQ+JMoQmA3DfEIueb0SGeJIrRpaUw59iyHyXpnUGv3kwnXiRKglVGpDRapygdOlnWWWrh8T5C1hE9P8uth08x1+vhreTi1pCyXxHrBC2TpuMpyKKIVpripWJUlVhXI4xEKEkkJZEwpKklbz+Gzf6eluvSMdeQtFJ0LImjCBXFTCVToCWOmnpUkFcVQ1OxW+2SdtNghBwJSByJStBJTKRjCmqGoz6jrMtuf0S9ErNPnUA7zfDyiLIeIK+xqClNGSkKP6a0JdZNrHIsrhLosSKJU6JINKNv0ViTRAgd1NCybq4fPEo5tPKNDUn4mnTVBGJPAOU9KBUeLJGMOfv0eYq8IMti4vggSkuOHtxHVVbs7va5vLLEU08+zZGjh5mf3cf58xdAOG4+eQs333ySnX6fBx74MsPhcM/GxnuPjyyRTVi5vMb5C0ucOHGcVuuaPZlY4/gMgJaKjBZmM6elp0PyjYz2fD2lDP6fEyuZqqr2JiuTn0upcEYifBLAignTAiPACHCiRvoE5wVG1khKJApHjWfCFwznbpNTg2ACOEVINqkttg7XqrUTb9CqMTd3mKrEVAUZkpNHjvHM0iWWx2MioXFCYQGcQ0h7Rc1uXdNZLHEyYUNIurvbDIsdRs4yjDpUlUVIS2Ji6qgKE4Wm2+sbJbipK2ye07aCk4eOsrKzzaXxACuicMQd4ASoiu9/ZY8bbkxADRHWgRccPjLNpaWcdHqWwXqBloGO4L1Fu6jx07ySo26NZZRvcvrJJ7j+1lubY8bzQhp84oknWFtb4957P8tLX/qS77np12Aw4IknnmB+fn6vGTMcDllaWuL9738/J0+eZN++fQDcddddCCG4//77sdZy2223kWXZ3nWVJMle93Nra+t526fnUs87GHw+u15XXw9hEwS33HYrhw4d4pGvfpWf+/mf5/u+77YgciB4vYWH9LPJF89168fjEb/92/+J+fl5fv3X/y9mZmb2FMzew3/4D/+eD37wg/z2b/8273rXu2i1sm93V7/tCvfgmqqwLB64hZWVx3jsUklb3E7MCnPJFnWZUDoCx8s7vLcIr8OK1VukrcGGG6N3gQvmvcA7AVbjraQqDbXxZNNHmJr1zGzGdNq9MI6KGkNYqffUf957lLdYqcO4SEhGowFpHHhp1oUHw/mlJe4/exl18A6mejO0o4QNoRlsjahrQ9VYRrRbHbK4TaKzJhkiGEUH7Umw3VBKN2BUMhztMhwNiKbi8JCtazCGzY0VNtc3SWLZeAemTaqB3Lsh+2ZcVJUlO5ubyLk5WlGEdzU4sEZiPQwiTTkWuAurlMYwYio8N4xhc22NqszJ2u0QdRdpNBIrwggda7C1oSxLNtY2mZ6B6bkoCGmcQ1pBWUFZGZQX2HqXpeKTzFx/ieGGpyfniLUOJt1KEatg6JwlMV5AVZUI7xt/O8fm2harK0sYP+bi1v1U5Q4tUaGcCuBVQCwkR/cvsjAzz8rWBuVmGXo8InTcpFAocsbqNMPo70hmR8jLh8lkBxGJhl+piWJBlMT4LMYJjTAxrcgwLgtq2cO5xpZHATJ0sJKoRbvTJj5W8uj5+3h6+xH653J6ySzT3Rm01mRFyfb6JezMmKplwDYP19phaxfARuEwowpZK+I0RTTnpG5i+KI4Js5SAMq8DIkp3qGEQ8krPDqtNXE88eJTVFUV9EU+dPACYDSMRn12dvq0sgMoZfDU5ONdqoYb9vRTZ8laU4zHjgujS+TjnCiKmJrq0um0QXh6vR51XVNV9Z4JtJQapQwIw+OPP8611x1DiGZBMum8iQBEFCktOrgiR8gY2fxHszCbjIcn4NZau6eYvfIlkXHC4EDM45fX8NsOIeHizAjzA12sKImcDmIRBLnyKBTGFRhXBqqG84E/64OoI+wLCJsy09lHnhfEUUosBV4p6qqiqkKajbMGNx6TesHJI8dZiFpMn5jCn3+K9cEQ4x2RDdOHZiUYrjUXuMZVMWI4tchDM3cy2n6GVlVyefoGzuy7iXyQE3mLj2qUjUFdFQFog02Wz3OiynHbseuZzTpMt3vI5fOcG+0Q2TY2MSgV4eWYo9dKBDtBMV4HMJmlgkOH93PTDT/IP37yy+xsrtPznshpEuUwIkEKgyXYMxljKMqSB++/l+M3XouMWoRoSHfl8/0u1ec//3mcc5w+fZqVlVUOHNj/XX3//69aXV3l4sWLvPSlL6XX6yGEYDgc8nu/93uMx2Pe+ta38rGPfYwkSbj99tuBMFYWQux1CieTv6Io2N7eBmiaSN/79R0Fg1ePRE+fPs2HPvQh7rvvPqqq4pZbbuENb3gDd9xxx/M7BvUOKyTSC4S34AR/+9H/h+PHjnLHHbfvGf6KhpsWTF5DCd9cUM9h0733fPjDHyZJYn7+53+OpBmdXvEGg+npHm960xv5z//59/jrv/5rfuqnfvJ5XkWFPkFZ1MTpFGl7iqeeyTk/+kkQMWfHp3mp+BSHplcw9RBrK7ApzjkqLNrWuFpRu3DjD6MSx6DvWF0uWVkas9u3DEcR7bZj49ImvdkYX3doJSERIdIxWiVhrKkazuBEfekkEgs4nDdEUc1wNCSJE5yw1FSsri9TVhVtJiT9wP+zwuB8QV2VpHGLRGfhvfSkcxNEKBPVn3UCYQM3J/IxURKxO+zTanVQQuJNyZmnnmaz6NPt9sg6GVHcRsVB1SzlhLcTOibOGnQSU+ZjdrY2g7K3oynQaGq8DePCIu6xUwyxVU4tPbUZsX75MtbWdLsdojQN8VVKI6Ug2iOlB89FFcfoPKe/vYWSit7cPEjVjKY8lTFYX7Ky8RjZTeeIpwr8ikKJNpoEQQyiGb2r0ElHBB4YIqguozijFoK//NRf0zsxojYFPXELM4v7EN4xKgqUUoyKil7rRqanugzyUeA+Wd8sIAzeWoyr2BH3k0wtEccKXEZEgiJqrkVQMiWKE0RS4nB4pUErhBJY0aO/NYDFkOErvQi/4wP3Syae1iFNMRqSu4peukCaJSRZRuU9cphRjnbxSuGNZc/svDaYsqYsLMVGTddGIB2IpvslQldcaU2WhkWcqWqkvHJ9X/kKAElrTZaFWEDvHVUlEEbsXfNCCIzz5HkOwiKlYH5ukUG/H1IvGrJ7pAXdToxzEWVZIoTg9OkzJEnMaDTGe0+aZgFMWXvFnkQopNBsbmwGeoMPDt2TBfJkIVwZj4xbEBmcrxulvQ2fmVd7I+iyLBuO3BUV7eRc9N7RSlPK+Q73v/gc55cKIi2JXtEivlnhrUFh8eTU3mCpUAh8k2nsXI1rFkve13gnELUAYxBlyuLcYfJ1xzgfE0mBlZJ6nFOOhjhnEVXNfNrhhn2HmcumkFKQeDh13UmevHyB81trFFGBipOr0n883lhMbQAPyX6KO+7hvB+Q4BnrOWq3jVTnGA/HqKQmUhlS+SDCcuBrA1XJbNzi5uuvZT6bQiNJ8dx65ARq5QLL22sUtUJGMbEcU+Y5wg5x3lBXkNeWYRnTNwv81b3nubRqiceWQ3ZAu04oY0kiaqyywX2gtuRmBPEud9x5mKq+TKavC+D+uwgEvfdUVcX99z+AUmHB88ADX+I1r/mRvfP7+awJTvnKV76CMYbbb7+dbjfE0j711FN84AMf4MiRI7zmNa/hN37jN5iZmeHEiRM45/bGyi984Quf9Zpnzpzh9OnTKKU4derUd3eHvsX6jncGvfd84AMf4B3veAfb29t7SqJPf/rTfPCDH+RDH/oQr3rVq77Tm/F1KwgV3Z7o3knP+QuX+MfPfY7X/ti/47995KOMioLOTI9bT97M4UOHQDukD92db4V/MRgM+NznPsfb3/72Bgh+/YshTVN+4id+gl//9V/nR3/03z2/hFsP3lseevALHDhwA8iES+spsneSRGjycj9fXq45svhZRD6iKAviLCMyCl97jK/xXiBU8Nfrb3ke+dIWZx6vGe/GKNEOogshGHjH5acdnj46CpFnwS9MNJyk4NA/OY+ccwgjQpcRj3aGKIrI8zF1XRJgokfYGpFvU++usislY6kx411aZkAlhjhrwwhSR43SNryHjnST6xpGosKEz0o7h/MRcZQwKIcMBn2insLVku3tbbqLM7TbXaJWgtYZKgojnIm4JHjnNd25RuEr8jHbG+toJYmFwjb2MLJ25IN18uWzyHJIpSSbZHgV02nPEqdJeH0dNw+wyZCvSe7QpvEsVAgl2dxYQyhFb2YuWLM4SV06xvWQUXSahfkanQiEqnBUwfDbW5zXWO+pnaWoQkazaQy4g22GY25mGmMUbGra4hoOzR+mnbYQztHfHbKxO+DipYsszkxTlDVnLl1kWOaYBrRiBJWxDPwyrnsWlQU/SqeD4S/ONUfPYX0AoXEUYXFBci1D177t2phRSbXjcG2LtxJjHWVZYK3Fe0vtapy0WFliqpoyzwMxv7SU9Zj+1g5uYHAEmwmlNZFSVHVNvlEzXU3jjccGQkIAPM2XtZaqLPfO0ckxcr5J0pmM5/2VmDbXkP6vBlDQaLe8QIoIXFgEtdst2u0MEIzH42CBUlUMBgOcCw9fax0bG1t84Yv30+v1aLfbz/JMm5RoFrh1XRD4wZPraTLcDufSKN+liiuSGcd4ZYgxwUhZT3iOV3EEJ/ttjGmSe678jhKaxd5+zh18hsGdlu7+BD3XwlhBVIOlDJF2BPNrK3zg+zkL1kBt8UbgjMJXntq4EBFYL9KNeqh2zfrmOtbUqKFmvLGB6uf0sjYH9x3m0MwCbZUQ6dD9U0KgdcSdx27k8PQ8Z9aW2NjdpnKWAoeXAqUjss4UWavL7iqIbJ5k/gbaWYvRep90YIjmD5KXfYa7GwxHI6RzaASJjJhJ2xxdPMrB+f20VEokFUgRzi2tuf3wdRzqTXF2Y43N3R1qv8s4L7B2jHUKXzmGecSTywc4P7ieOpolm9cMVi3nx8v0qhFpFJGKFCcFkRuD3KW9YHjJPYssHLF85G8f4DU/fA3dVrBjks/56fWt14MPPsgLXnAnZ86c5c477+Dhhx/m1a9+1dc9H7/bNXn+ToDdHXfcsScS/eM//mM2Nzf5pV/6JVZWVlhbW+MVr3gFSZKwtLTE0tISaZpy22237b1OVVX85m/+JlVV8bKXvYzrr7/++dmx51jfUTAohODjH/84b3nLW6jrmp/6qZ/izW9+M3Ec87u/+7v82Z/9GW9729t48skn90YM3/2SaC/wwuCt5yN//lHK4YCP/9f3cWhjg8TknEk6/N3cHIe//8X8bz/9f7CwMBvEFJPV/nN4t/PnzxPHCSdOnPiG+zv5/rFj19Dtdjl79ix33nnnt7uj31aNd9e5fOFRzj71KMs7R9iqbqE3nZGlMWbL0B/sZ+VRi1++SHG0TXaHphKSFEHhJdKXyCrhqUdyHvziLvluSqxn6KST3GBN8D5ouje2A2oYiPgkCBGhhESpMFaLkggpJHVVIxA465FeohvbFICiHCOkRuCYac/QEZfpb3wJzRGs0iTViNlYM+oPwghaXVHcqsbaJYojkiQIVqqqyaDds8tQwaZFCvqDbTqtNh7F9EIP3WoRpy10HKF0smflMjnP/SRRYfJaQjYdy5rtzS3mohSFw3gJ+ZjRha+yGNVkUxlL4xqMIu120GmMTtK9XFWhJLIRiEw6MU6qPasN8JjasLG+RqvVQkUJCEVd1SyvXSbdt4XOJCoRJF3It7aprSd2BmUjTC0QsmLoAtwMXmgWby3FaEhXR8zPXsdWfwsvoBNFTE11sLWhKEoEYJzlo//947TTDp2ZaY6euDbYbdQ1ZVnQHw3I9WWSbg6phBhEN2e8VpC5Gm0lwmhkFbpfcZIEDp8IcV3Ce9AOKzqsrW5hFhRCmcCtavKzJ9YixjrUtGH14jLWHERFgnE5ZiC2kIkiSqKQ6OU9pqwYjceMB4Y4j1AdwXCnwtcEdau6Aogmxx94FiCa5OZOxsATIDgajUIHsOmo7YFHF7rdOtZ0u20QBmtzqnqMEBFxnNFqp9x00808/MgjFGWOd4Lt7T5VaUiyDCGCatha14BEexU4DRQO46DV6RJabrrpHjkgdFa9AHRN5beZ2g9bj1ziYHUtSW2JlMFcJbaw1u7dNybHo67rkEtcVcRJi5sOv5DV/mNkMzXt/jG6q9ciNBTzT2MPrUGrxMoIbSXkGTJP0aXGSYPROTYa4v0IXzmqWlDtdliUtzLYHrO7O9o7dkmimG93WIjn6XV7ZGlGrIMifhJVCCCNRBrD/u4cM1mbYT7i8vYGj69ewnVaZN0uWZIiZIoUFVU9YnfUoigMVTXCipws0bTjNmmiGY/GlFubHEw6XLPvIDOdWVpJjFYxkQ6COlRzjRqLwDHfnqWTdBjMDFjvn2c4eIoqqnHWsj2a4szq9azmxxHtabrSs9hNSQ4VpNQkOseMDdtbERc2Zoi7ghfeornxRJtet+TM2Q2+8uhBDh0d8LK7Zr+rQBDCPfNnf/ZN/Mqv/EdOnjzJC1/4QtbW1lhcXPye6Qzef//9aK259dZb94Qjm5ubzM7O8nM/93N86EMfoq7rvZHwo48+yng85sCBAxw6dIjxeMzy8jK/8zu/w1/8xV+Qpim/9Vu/9T1tpXN1fUe30hjDO97xDoqi4Kd/+qd53/vet7cSeM973sPS0hJSStbW1jhw4MB3clO+bnnhwcvArfLw+c9/jme+8Pe84vEnue3cRWIzQnmJE7DTSvny0iX+0zMX+IVfeQeHjhzd40A9Fzi4vb3NwsL8N30BLCws7HEPnr+qGWxf5MZrD7C+tstT55epuJZcj6kLS1nVtNa32P3sEr16zPDhDerNHaIffjFWWpSIUUXKE1/e5pH7cyKxj3YaopeUaAf1oGwMXwU4L3DWYqmDylY2ClxpUTKMcFvtFpHWDAdhzCiabsZkVCck5FWJ0DnaQaQTjh87hJsZMrXPoSOLrQTbSztsrgxYjBeDtcmEDioaNXCkyTqho+J3B9R1AG5iwpgSQZE7HA3IyzGQEKcdVJI2+cIhuD66SjU6KeccylpMQ4TX3pHYFqPBgPGwT6vVwyuwT9xH9sVPYgSIW1/A1vRB9NQ0UZJeZekRoq2Ekqir8kittRjp0I3IwztHmrWo6l22NtaZnZ8Hqdkdjrm0tsK+ozEiT0EIul3Lll9jVO4QJzNBHIHCC4E1YVTrm45eXVVU4xH79x2g02lhXMXm1oDSCoZ5AY3XmnGOg0ePsr21hZSaxQP7MVWFsY6qrBiOc1Z2RrC/Rtcd2E1w1pD1KnJ1mbKeRqsIL2uEAxkpWllMZSvqogpGx9IidYgaUwMwQ4/XBukV1oU4s5CfbDG1R/QqBtsDVtaWgmdeL6a7T6M7cbhDSoH3EJmEqEiJ1ZhRXFN3S8ywIM/HpOaqxJgJ2G9A0cSj7uovZx1e2GfZrgB7YOrqL2Ms+xZmieMxjz/xj6ysfpWiGOA8tFpzHDt6Nzfc8AIefPBhHvjSoyRRRJpmdLvdPWA6oeJMAOgEEFrnMc7gKTh29Cjeluzsnmanf5HajmilM8xMnyBtzdOKU4wZoafH9KeeYK08QVKmaOWajjd7rz/Zl6sBb1mWjEcjZmdmSTo9OkvXIZc818Yvo5vNo1BsL1/HSvFZ7HXnULs9krXr6I6P0PLTaJdiMRRixK5cZbf9KGV2kaoYEa3O0Inn2Bpvo9OY+dk50rRFFEf0Wp4qjxr/T4UWklhp0jgmiQP3tSyrK9ek02Q6YbrVYardpdARkUzwIgC5mUVYvXSayo2IZEzlBnQWDDoWmDLCCA+JIWl3mEl7dKMMLVWwjFISGUfoJEZHGmcMpmgiN1WEdp5UxszHHbZXEirp2Sj2sTq6jkJeg06maauS1H2FQ9OPsm9ql3aq0SKkuYyM5fj2gDOXjzMUFZVZY5w7dvsGYwRf/NIGd942QzdrbnLfpXrxi1981TPPc8MNoVv2fAPByTZsbW1x+vRp0jTl5ptv5pFHHkEphbWWt7zlLUxPT3PvvfcCcPfddwOhk+icY3l5mcXFReDK9buwsMB73/teXvSiFz1v+/Vc6zsKBr/0pS/xxBNP0O12+eVf/uUrkUtCsG/fPj7xiU88y6T0u1/NIEQINtZ2+MgffYAXPfwQd5w7R2J9ILP7MJZKBiNe/vDDfNYa/u/3vZ//8z/+Clkc81y5F61Wi+Fw+E3//nA4Cvys5608VdHH1n3SWNPrpRzZN+CJS4/R3zEI7Yl2Vjh4/u85qBW9+SPsbq5z7p8eZfB9J0jmp6jKy5x/tMu50/tI9ELDy4tQMmq6ggFgTVSCDo+TFd7KwAvCABF4hfc0Y7jA35l0OK4u0Qy28nKEEJJYxhhZYdMxB47MVn+AOAAAIABJREFUMDUzRRzFjPMxOMfKM5uNlYefzORgMhxr3st7hZuM7Z71//BudV0yyocob1HxDPKq4Ht9lfWGUpMxcQAAtnklh0fZoJDVsWaws41WCenaEtHf/AXXbqwQScXZtT72x/5Xklg1ALABnHuvf7VNScPFtRbrNd5bvHOo2pAkMdtbm7RaLWQUsz0aU9XzbD7VZet0ElTgssbnNevFkFhngEIkY6TXe9zHwHu0VOMCU5bBm046utNTXLhwiZ0tSV60wMPaxiYboxHtqSlm5ubwUpJXJbIsqY1ldzRmaWWbXRNhLx5l+/J+vI9AWURaMFsp2tMVijGxiEE6VNam0+owHA1xlUVI00QPAsohrSLvlyFRI/HIKNj2QBAx1aWlHFf4tCJetKQtSbfXhkLhVhNk6khnJDJzmMhSaYl2nviZDaIHL5H5KQolKKJk75jsgaBmZDoZGxtj9rLQa2NQV3mNXg3arh651nWNM5ZDBxX/9MB7SdMd5qZjosjhPRTVec4+c4Gl5ce47rrr+OpXfYgzjKLgPXdVt+5q7z/XmB47U+FqQ6oT5uZqPvv5P0CIyyRxhRCS9Vpw5pmM3vStiOMJJWOMMLRvdJz/whfo6h6SuT3O4Nd2v40xjEYjhsPh3ih8Z2eAHjmuFaewhWe2t59urxu8NvuS4cZNjKo2+4tbmdEHSdLGgmnC33OGwhyhPzzG0tajlPljHFZ3EYmMKE2Ymp6im7aIkgwZaWI9whIWcF5KaOgaMlIk7RRJWHwa0whGVGNYLYM6HN18X4ZnVzabcG2vhR9UyLgibSV4GTMyFSiDMj4syBpHBdH8rWwWqlpKkkiTtVuURYmrLYgIKXK0DyIkL1OO3/oG/ubv7mPbLKDbC6RRjyi2yNH9HJ17iCNzlqydohIZxs4OEufpRoZUPcMTS4f56vlZbjywShZVTLcfYOVymwcemuIHXrQf+V3AYf88ccT/s58/34DQe89wOOTUqVPs37+fdrvNwsICP/IjP4LWmje96U0AdLtdfuzHfmzPXk5rzate9aq9fVRK0ev1OHXqFK997Ws5cuTI3nXwL6G+IRjckzR8GxL0CXK+6aabuP766/c+9MkJ8J3I75scdvFNbbhEiGAH8olP/DcOPnGaGy9eIrZugksatgwo72mZkjuefoq/fWCRhx98mLvvfuE3+T5X6ujRo2xubrGxscH8/PzXvRh803Hs93dZXr7E8ePHv+nX/3bryt74ZuTmKIbLaGmwShJFikOLMcX4LFu7Z6h2n2ZxtMrCYEDcnkJHCikjVH2ZlWc+i96O2F03LF14OYme2QOCkWzGsqJRAV/lGRbGV4LKysCxcmF0bAmebXUtyUfhxmrqGmcDp43G38s6S+0rdkZbFFVOErXJ3YA0NqhoLoTXZy3KuiKOI2TksNZjfQBlE95X6BwZxoMcIQV1XTecLofF4rxFWEftDWM3ZmuwQWxaJOpoE4UlroTQ60ZlqkLH0XqCBx0ChcG4ZuysNFqllONtqvEO+QOf5+TGKtO9KdrtHktpG5m0kEqG3FYVPNlC0L1E6+AbKGg4W02b0zuHEKrZrpCdKpxj0B+QdVpgodM7SkyKEAKFxvkKF0E/z4l3wvjRW9CxQSgdZAXWUZua0ahkfXPMXG8YzgEd0+11ePLcBZAxpRMsb45wtuL4IUucahBB7Su8xdSO8yt9dkqJbmdoP4v2AonGWY8dWMamYMmOWBSWKduCyGGyBBsHnp1oREQwwfMhrWZ3ox84mG1QcRDBCA/WOso85Fj3plrs7OakrQy3EdEy87SjFJs7hsNdpq4LEXnCCcxXLrLwt19lZqwpucTK3Bz5qSwoaxFBdX51t8yHMbGtLWVZMczH1IY9JezEeqWxh8O70E2sbE1ZVMxNFyj9BL2ZATNTMVkco3TgOlujabc9a+uPU5WexcUptncrdF0jhMR50EoGIVJzm7kSE2eoakNdlhw9Ilm+/BGmpyu6XUHUqE6dEYyLEVuj++g/keC70zgHbQfbszlnNx5G2jvBemwKWgmCBaWkrGoGu7tYa0mShCzLQocdgTOGTHa49rrrmO71KMoyAFYE7Xwfs/IIM5150qb7rdQVgOmdQ5uYWCWkrkvPHSNSGUrGdNpt0rRFnCSoRJM0+cHCu8BD9A4RpN0h8cMYpA85yt6Lhh8dFqTeh3A35x0ej3SiOb8EaRbRW+iSxILBqCIf1wjXOE7ggsK+WdiGRaa76nUJBtZViJsLv+PAKxwGvMUR8dgzOWv5HHF7niQKuc0uv8SCforFmYqslZClmjhRCBmDD5OGygvm3JjF8Q5PXT5C7Ab0MsvBg9sMzz3MJz5T8P2nfpQkcgRfQxr++///fjP/HOiJb/D956+EEBw9epQPf/jDe9+77rrr+MhHPvKs33v/+9//rH+/853v5J3vfOc39fr/EuobgsG9E2NvP577ibK+vg4EAPT15ubfCdQs/JWkjODtG+QhX2/LA9gNKsPH7n+AU0vL9Or62T+/qjywb5xz+PIaD3/py7zo7rt4rhk/8/Pz3HDDDXzsYx/j9a9//dcFghBu2H/zN3/DyZMnmZ+f/+bf4Nss0dzswAAaV4+py34YjQqFkJp2S/Pyl91EUeRcfuY8u6fX6Z/tszMUFOOKkcup5kta7mlkkbG98TKkOkwcpUEMomK0ivZMqUNsVxiV+uYmLH248Rpb41zSdKAcRlgoa5zxe4DHWoN1TcSTM9SuxjqDw7HRX0MKTdSSiCqmKg3j8ZiqrijLgqqsaXU6VMMx1naxNg65x5MRngdbhw6LdeYK/8s6rHUYa6jqAuMN/cEOfjjgGmFDd0qG/RJCoYREK2glCh0Jyrr5rK2gFhEIhxIFSrpA0/IV481l/OYaeEFlK4QrKDuHEFGK1xIhY7SPGpAnUVISaUGaCLQSFFWIcZPyiu0HUiCkQokILQWjrRWSuovORyTtjEiF1xM+xssE5w2ujlkf5YzLMXOdEe0MVKQBSW08g9yxvWvZrRT5uVWuHxdkSczO2GOTeU5ee4goTrCPPo2pC7pTLeIsIVI6pEhYQ1VWLBiJGIHV06BjpA4Zy0HDX+OsZrcoqS5XzE5tMdURzCc10ziM8RjTjD6bPGlvwSaWmf09ljYv0t8ekKYpOpI4QppEd6rLdSeOsXx+iTjSuEoSlx3mphZotTqYyuFyyXh9h6ljCXowIv/CMxwsIqYX9zEe7FBtbnJxa4WtCLp0SBuO6MR83DmPNVDWFf2yz9CNGBcxSUzguioVujQiABJvLbW1lFXBzHTGTbdETM/sMDed0WqlpHEA/k4AxhLpmu3NKZbWahb3H6HVGdPf3qGoSyKvcU4Ha53mGg9q4uC9VxQVs3OKg0dGzM07Znpt0oSQECPAGkGatNAJVCsx+1d/kIwW3jvyKGeztcP6YIlRNaDd7pDFWejEW0eej2m1WnS7XeI4vpJPDtR1zeHkCLfeeitJknD69GkuX77MeDwGJ5lpz9FutYii6KpsZbkHnrW1qEYsJbxkd3cXrRVpmoZovCjaE4PlwjGyNbELQLD2QZgiqioYUwuwdTCj9taGLqF15HVFVdd4JfDGggoL0rhKkaaCpcewtsDPzlEmLYw3eOcxXuJqgzOWvK7IbU3kLFiLMBIra3IBlbN7HWBnCfcXX5Nby66t+Nz9F5FTPXSswqQhFhQbDzN3dECSKuJUESUxSWNb5b2BugRfkxrNXG9EtCEo5L/lpiNd7n/mUaYOzULU46nL29x2ZHZv4U9z//3X+h+3vgEYnIzJxFWnyZWe2zdb7XYb7z39fv+fdcDe9a53sbOzw2tf+1pe+cpXfqvb/zVbHUZ8ArmH0eRkd77uZnu8EHjrGS4v0c4HfG0be1IOUD4ch6lRn4uXL+NEEDA+l5JS8JM/+RP82q/9Gvv37+eHfuiHnnVcJqOcT37y77j33nt597vf/d0loHoRRkvo0BUcL6N8hcECEuEU0gtmptu0WnMcWvz3PD1zjMeHn+HJ832ioqbuVGTXxMy2CvLiCMP8FtpRGy3DaFgL3WQFqyZQvukQ0YxMncO6GmMqrCuIdIwykygvQvfPTEjq4eFgnKU2JnRT6gIhBd3uFFkWkjqmZ2YoKVi9uImpa3SkKIYlRV+wOHeUy6MVyrIg0TGqSTdBNBwiMVETByuNSZSVMTVFPWZcjLHW0OvNk2TtwA0CPCGBYmLTIQVIDVqDcSFXIYBvSYAnAodEoNHOM130UYc7rF30yHoXt1UyPHQLCL1nbu2kQImIydkuCCkbSoE0k0N25SQVXiLxWBVAYSdfZ06tgpUkUQIqJRIhx9ShEEiUdLhowFBdYBSdp90ZE0UeISx1qegXPWx8LXFyhNy1eHwTpLIoEfHyF9zED77oVqSWZJ2E0+eeoZ2FcbiSEicl3jrSrEanGcluwebIUKsMr3VQurqQnOKlxgjPWC6T66foJwMOuhcxKpLGp9I3/LwwWq1NjZ/2dBc77I/2s3p5naqo8D5ieq7H3OIs0/M90iTh6cfy4OeZpxyav4aZLIhzxuMxaZEwHoFUGmscrqjRXpPoiFxKnDLsu3WWi0nNysUVZvwciU6DyTiN3UqdM3AD/D44cvsRzv/DkP7msLEx0ntdRDxYG7iP1xw9yo+86kWcu/BnTHUhTRPSWJNkoHUCHipTsb2bsnRpmlb7OGkWMTs9zU6rzZlz5ygrg9Yh7tCIia2SazJwSw4fOshdd3Vx4gv0pjStliSJI2KtQARDd600CMW+zhyJuyZ8bnis18y3asbFLksblzh74Uk6yTSZnibLImZme3TaXZIkabp7au9et7W1Rb/fpyiKZnS8w+rqKsPhkIWFBaSU5Hm+11WcAMKr844nimtjwgIvAP2Q8T2hTKg4YsdWPL29ylQ+4FBvjv29WRQC40PcnhMgjMO4ms1qyPntddZ3tihMSaFE6OINhhRFTtadokNO60ufYOH807RqwebMfqoXvZxi7gCDYZ9qXOK8QQi4VAzYWB0znXU4NLvI/k4PXwdvVCqJDyosamvYrgZc2F5jc3dIbnK6C4dJvcNbD6FXj6y2aUc+5K5LEdwVdBshMqBEe4OtIrSELC5oJQXrw5jTl1J2/VGy2XlaWcbTK0NuPjyHEl87mXoe3Kj/tb4n6lkoY2++PzkZRBi3hH9NWuBfywH4xnXHHXcgpeT+++/ny1/+8p7fzl/91V/xnve8B+89r3vd6/aA4tfyC54Ln2AyWvV+Eri1N+jc86P7etvd/AZKa5wMbnWKb1wWQa1ESBhAPOfwbyEEBw4c4O1vfzvvfe97eeihh3jlK/8thw4dBGB5eZm///t/4NKlS/ziL/4iBw4c+JZ5FVcf1+fy937SFTQFdb6FrWL6G56NtRE7mxWDgcKOauZmY6KpmKnF6znykgR3qiTGYeWI8drnyLI+F1cPI8QMkZiYRevGC6/pZjV8uklaifcOZwXCOSpTk9tRGJ024Mz7EBMlG4+8iSrTeEtlSvJqTGlK0laCMQofpbRaCVmry0wcMa532Lo0QklBGqXMJHMIpyl6Jf3tPlGsm9VP8BJUUoZu5GR87UK30tQBCA7KPqNigNKKrJXR6nWxKKx3KBfOl8gbnNcYB0XlqS0Y68PDCPBYpDcYFB6JNn2S8Vlaw3PI6R2SHzjGqIJqXFJ0C7AbOKYAi/NReC8fOGTWSsrCh1gs+2wbk/DhOqz3SDciG5+mU55DmzEtMUUvvpaCBKUCarV4rB9iOg8TTT9Ce3ob1aoRcdNtxBM5SMtNyvES5c4+zPb3QXUtUsxSDcds93coa0PsPZG0tNsJaRwjohglQ+azx2OMpCMFQkJtK0ZW4JRCSAUejC8x2Xni3leIZi8QdSpiLfDbQ6pRhajDGK62NaY2VJVhaEfEMzEbW5s441g8MA/KE3KmDTvbWySpJosz6rpCuBZHF0/wwhMvQDg4c/Ys+XhMUdYk8x6kx3cTdo92WVnfpFpaJneWyzOK3okOB/dPsbO4y8bTG5Q7NRQC6QQ+tsgZyfyxORaumSVuxfzsm/4XHv7yYzz88KNsb21RlTUIQZqmHDq0n1OnXsjNN5+kyM8g5Zg4ioi0RMeCOE5QskdY+w5YW3Yg5pnWEd3aMLYG04npdbtsrG8xKPKQeCICXcA5T5omvOylL+Gl99zN+Ut/hbeSNNLEsSCOI+K4DUikG4GHyDrSNKKuE4SIw0LJe2yiSOKQopKImEF/jBU17U6PVqtFkiR7XcG9Tp4Inepz587xqU99iiRJuHjxImVZcuDAAZRSrK+v7y2Ct7e3OXHiBEmS7PEpr+Y/xnF85T7SCKiEECjV3F86LUy3zYaxbK0vszEaceO+Q3R8iIwThIXexZ11vrp6nrGEKEkQnYRECIQXCOuxpmK0vU1r/RnuePpRrsky0laLbv8C2w9+lt2TL8HEEUmqEVEa1Ot4SudYqSpWl5/hQGeKWw8eo+0cbuJhax1ndy5zen2VQglEFiFVQjLVBSzlaEiR5ySpQDqPESIsG13gFThRhlH4ZNRNEDzhQKLY2snZWh+jO1OoWCNUwiCvubSxxZGF6UYM13CixL9cMGit5dy5c2xvb3PgwAEOHjy497PvhVGt956NjQ0uXLhAt9vl+PHjz2r0PN/b+CwweDUIGwyGnL1wlo2VFRKpOXDkGg4fPULyHHh+/+bf/Btuv/12HnroIV7zmtfw6le/ms3NTT7xiU9gjOFtb3sb99xzDxCUx5/5zGd48sknueuuu56TUePVflx1VXHp4iUuLp2nrAsW5w9w/Pi1dKe6X+cvBdKDk4LZa69n5/4v4zc2CY/oZ5ckBIUVSrHdm+PAsePf0nUzAWY33ngj7373u/nkJz/Fn//5X7C1tUmWZbTbbV7wghfwMz/zBmZnZ5/bi1/1HnDl83xOgHBirO0t/Y1VHvnCBk8/OmZn0+JNBD5D0OLSEx4hthFpQSvLOXr9QQ4c1yQRVMU6l9dLhG2zOzhALJPGS08F4+XmgTAxddZxsHHZUzs2I5bp2Wm2Lp1HqtCRTb1D67jpKk46KR5nDbUzlHXOsBjSnspAOMq8oJN1ybJuiAyLYzpZB6Ga8S2iIdLXLOybIy9G9Mf9hi/o0Tpptlc2QNQGOxJjKKuCYdlna7SBoSaLW7RbbVrtFmW5gU33453BOxXSEmzdfA4gZDCira0P/nrWBDK/r4nHy8ilzzBfXaTTIthQdHt4HMZ1iesRm5ufx+sIH12Ptw60Da8hFTUe56/k3E6UrBPRgHM1qt5FrX6FfeVjtDqQymDkPZcLNo1ERm2k8uTqaerWP5ItPI2eqtFxRKw9SoEQbg/IOVuhp2vSuSHlzjrl+i2I/CW0RY9Pf+EBRoMtFmcyBmVJlLXQsW58F1XTffVIITBe0PKe2XaBHY0hbuNVjJXbVOm9xLOPkc1uoVIffCdFhBtUFGWFshbvPJWrqEvHoBywrTaRJiJpR0RTCUmkApfPByuiuqxYurhMPqpwxv2/1L15tGZnXe/5eaY9vMMZ69Q8pJLKUEkqkwElIWAgCgmKIHd5VVS8igO2yVq4roTbvWz6rl6Nemn74lq9QOVecCBcmwuiJiCgYGguIUACVKVIUpXUPJ6qOuM77r2fof949vtWJSQkgdjgs9ap4Zz3vHu/e3q+z+/3Heh1hthGQZIoPJJBVXJ6aZ6+7LFxY4vK9qh0oPG6G9gvdyMOnmHYSNE/cglzm2awWPKNCWsmZ+ic7bF0apUkS5jZOENzKiNtZpjEkCUNJicmueWWl3P55Vfw+OP7OHHiJEoJNm/ZyiUXX8zadWvQSrK6WgIx3UUIhyBFiAxICNIipGLoSlhe4tznPk/3yDxeKeylF/OKN72RuR2Xc/jAIQ4fO8ygO2Bqaopt27Zx8SUXMTU1iRAlzvVJ9YhqoFFaI1UKJGhhcbJCKo/SiiRLEGTxOeEdzmuMSFFIxFo47eZR0tDIc5IkHavdR3+P7tvNmzezvLzM2bNnmZubY8eOHaysrNBoNOj3+0xNTZHnOd57Op0Op0+fZufOndHIviwvSGdRYx9QIWpCkKhj4GqYo0xGkjUQzlMmlmPDDr2TB7l6wzaaShMIHDx7iicWzxCaGQ2Too0eC00gAl9jU5KqR1pWZEGgsgZJu0XSWyHtr2JyBY0GRqZoKRAyepz64AnGY5OCk/1VikP72bVpOw2lqQgcWZjniZWzyDwn0xkYhVCe6fYESnbRLOK8p6g0lbmIEx3F5Mw5MleiSgNqgJbxfFS2wrqSylp6pWZgm/Qqh3OedgyxBAVeaPYf/Cpb5l4OoTVeAP9rHWVZ8id/8qfs27dvLNK87bbbeOMb3/AD4WUYQuD++7/Axz72MfI8ZzgcsmnTJt72trcxOTnx/d494ClgMFYRqqri05/+NA988lOII0fJ+kMQktXJNhM7L+f1P/NvuOb668ets+80kiThIx/5CG9961t5+OGH+eAHP4hSirVr1/L2t7+dO++8cwxQ3ve+9/Gud72LG2+8kXe84x188pOf5JZbbnnObQQi+RXvefRbj/KJe+5h+bF9tFdXMNax2mwSNm/gpjvu4LV33EGWpYwQXGzQRZB048tv5mtf/h9ccvIks4PeM25HIDg92ebU5vXc/iM/TBCjRvrzv9guBGbT0zP8zM/8DO12m8985rPcffc7mJubQ+vnPrbPeCxqEP/II49w5Mhhqqpi7dq17Nq1i40bNz7PlUd8TX+15L6P7OXUoRIj2hHQmToGbkyT9jjrKRYLvvX1DkvnLLteMkmeLOCFo+8SqnKKVNWejCPrFjHKKRVR9GA0aZ6itKQqLEMCKiimpqdY79dz6tTJ6A/nHYnO6hbJyNcscgZLO6Q/7NGYaJKkhoWlBay3mNzE9I9EojVoZTAqPuRDkFhfgoAExfoNGzhy5Agr3WV87kh1hVLRY1AI8MHFnFNb0ht0WekvULgB2miazSZZnpNqjV96jJBP4I1BW0EpU4yrsEEQnEaISBh3dTSftxYXPBSrhFMPM2uPM5Er0kSCjpUOGXyMyqokiV1h+dxDDBop3lyCsxqJw4oCHzTCx2SJ4C8AhNZGOxNr0ef2MjV8nInckyYRpFupaHpLJ4DMFVY9QZV+hmzuGPmERacKaSRSB2I6XwT0gYD3EuUENvFI3UMlu7HnCiby1yPDNew//iRVNcnU7DRSJeM83sSkKMl5/0bnUSolTRRJYZFJimgMWJFfIl/zNdJJi84UMg0xiSY6MVKUFcpVeA9lFcHhUrVE2BjIJlMarRSRSYzUCBXFI94HlDEIZVhcWKAsPMJb9j25h5lkBi/hwLl90BwytSWlTAb4ykaF8Jo2yR03MH/iJO32BFuv2o6UgtDx+KUAPYHqKdqtNiYXqFzgTcALT5CAFJw4dYr/8c9fZs+evawsr+CcI8szsm/uweiEHZdu59YffQUTEw28T7B+iPNEKxhboHUALwm2YuNMyfGHvsD6fSdYl7TxtsfJb+5G3XIzj1WOx3Z/ixPzJymKgjRNOXLkEGfPXcFLXnIjMzPtKLShIARN8HUrFosIsYUfHFAr040xUbiEiFxE7wmyQmPIfIskXSLRo8SgCxT1NSAcATelFNdeey2DwYAQAsPhkGExpBgW0QEgSZiYaFNWFcPhkF6vR5qmOHe+MjimudWLS+di9nDwMXMb7wnO1RZRKShP4uJidLU/4MCZE+yYmWNx0GX/wil8MydLY6tZmAhcFSMw6GtRUJPhxos4feARGqvL9DurLATJ8sZLkPkUJgUjkvN5zfGXcXVKjxCCc50eT545waUz6zjXX+WJlXlU3kbmcbGsVIIRA9Y1vsJMfopm2keiGFjD2ZU5VpZnOJYnpBvnEaIiiBIrKjwCW3mqoWBQCBaWJ1nsNKM3q9K4oqBbLqK6q+RtxaJ/gkFvB83mJYxoYS88RuEHY/zTP32OkydP8fa3/w7T09McO3aM97///ezceQVXXnnl93v3OHXqFB/96H/nZ3/2Z8c+hn/1V3/F3/7tJ3jLW97yfa8KAujRJRAIOOf54Pv+hGOf+hQ37NvPZadOoX1U6K2mGfv2P8E9TzzO/K//Fq95zW31W4hn/SBCCHbu3Mn999/P3r17mZ+fp91uc9VVVz0lUUMIwdGjR3nnO9/JXXfdxXXXXcf999//3GAweEKtmHvwC1/g4+9/H1fvfZzbjhylWfbQQTJUmkPrZvn64WMcPXCIX7/zbaRpVkM4WYtM4NZX/igPfP7TPLzU5aWPPcJUaaOsrz4+VgjONNt8ZddVbH/1q7nsku1jttezncYLK3QXCmUu/P+hQ4e59957edvbfpMNG9a/4Isivk98v89//vN84hN/S6vV4vLLL8OYhD179vKxj/0NN9xwPW95yy+NndWfbTsjFfWjXz3K/GFJw0yTihSUHnP74gtHQMDiVYJ2OacPLrG6sMqNL5vEkzAsEpxvEIyo2/YX6NUC8SGuYrJDmhl0qhAiUFUKJ6JCbv36zSAFx44eolt2aCYtUpNFc2gReQzeWwo3RChBo5XSG/RZWV1hzexsDR5V5CsqgzYak2i00lFZWNafxZU0shabNm3k+ImjnFk+SSNtkZq8tocYKY091hX0yg4VJZnJSJOMdt4m0QlGCZrVYc4utSmT66ikRFqJCwohBV74unIRcN6Dj1ylUFWIM4/S7O9nIocs0SQmikKkUAQ8OniMDKBSxOA05dm92HwtTlI3egLCC6QISGEJQWA9McLLOawtMatHyTv7mE4dJktJNGiRkBJbeVpWuHCMZXEv2dpjpBMBk2lUGoFgVDGPrp9oDBlqNaZUAScDUvUp5CMMl6ZYY26n49qYNAEV91OpmPjQajZQStHpdrHOxcKEDPVk2ENnjn7zAWg+SDpTYTKBTiVCg1KggsS5ikG/h3ASaz39skc36TFYWzK5pkHe0uhcRZ9HoxFSIWslqZAOIQOfyHP6AAAgAElEQVTCZWS5phwOUQ3B5/b/PbNz08xePI1ODAhLVUTlp60cVWkpRIGaSLj4qovxQzj3yBLVmQpZSWRQNEKOwWJNFdm2iUCoQNABWzne83/+XxRdS6PRYHJ6+nyijvUMBkMefOBBHv7aw/zbf/sapG5SFN0YVaYHCBFwVUWQHldCsxFIFo/SlAkTa2dxZcnE/Gn+/q/+GwenZlGJIjEpQgjKosfiwhKPPPItPv+5+3njG3+CiakJyjLul608Qg8JeCQKZ0uqWiglQkx7kTIFISMosy5eBgZM5SAIVJKNYxHPL/wkxphxtW8wiNnJo6gyqaIheFWVBKGw1jLo96icxNmAUDZyQR2EKP1FBEFE1wKpFFVVxcWa8yjr8EJQiJjYkhgT7zcpYwEhC5zurpIvBQ4tzOObObnJEYmpDamjAX1c8IAMcX5UQVHNznLwuptY2vN1sqLH4rYdnLv0aqTOURJEojHocdcoeB/rBTIupMk9JzuLGAlnuquEWvAiVYKun4daGnasP8x0c4jRCiEczhesn+kxv9DkyNk1ZMkMW2bmaVSCoAOVcMgi0B3CgfktHFy+FN3aSFtqNAElViF0sDYwWAqcDk0On3yCqy7dRkCPHsovaP554ePFt1nx3rN79x5uuummcTdt69atXH311ezZs4edO3d+38HWvn37Wbt2Lddccw0hBFqtFrfeeisf/ehf85a3vOUHwmJHe0DVq75P/O3fceKT9/JjX/kamzuriPqRIIWn0e8x88Q+Zla7fDp8gG3bNnHFFVfwfC4eYwzXX3/9t3HYLoxces973gPAPffcw8GDB7n11lu/43vG+Kto5nDoiSf5+J/9KS/7ype5+vgpMu8Z+b+lruK6YyeYW17hC7bio2vX8+ZfenNcsYnR5R9I8ozfevvd/N/u3XymnbPriaNsWDlDWlX0Tcqh9Wt5dMd2Bpft5Oz+Q+x99FGu2XV13JlnOASjz7V//36++MUvcvDgwajcm5li165dvPKVr8QYw5/92Qd41ateza5du57XCXu28dd//f/wla88yK/+6q9w/fXXjXdKCDh3boG/+Is/593vfjd33303ExPPXpYOAdzQ862vnqBhWmidYkQWW7VC1GBQ1LY78foITqFkghSSYWeVr3xhgenZi0g4Bd7WZh+jQ3VeisQodsuDrRwIYrXM1xYQRG7a7Mw0hIrDh4/Q7/XQ2jA1NUO7NUGWZSgd1ZjeB6rKUtQxYEab6O0l436PkkWyLCPPM4qixPsBzrqaswgmTZidm+Pw4UOcXTqDlprJyQnak1O0shylFUEEZsIsZVnUlY3IW5IiVvGyRJL39lN11+FFNCd3WhOkj150IxwVbJ0dLBCdefy5h2gbyHSKMaK2iYlcy0DAW4elokkgpIbW4BjLi/uwc7sIoU4ekQ4hNEI4pKduDXtsVSGGi8hzu5lQq6TGYFSK1g6pNdIZRAiUZYcz4bO0Nh0mbYHJDDpTKA1SC4SOvmlCRjEK1JGAPn42WQtlQigpy4dY6q0H26qJixCkr3m9os41Pk9NGV1/ggAeOm43g/QL5FM9dG4inSCJIhwpJRpNvz9gcG4JS6CvO6TrEvyUJMiAbpna8NugE02iY1XSi5hCYoQnBIXLNO2pFicOnyIxCWs3zJI0DUU1pApxgRL5olCVFYP+gO7SKrPTc3SeHDI8MCSTmrZuRv9MJEFEM2drC1YPFHQXh0xeqSlNAcFjjGFq3SxpmtbJN+etlVrOMzHZprvS4yMfuZcbb2xwxU4wpkSFFG9LlIoLisoFOv0+RVPTmbcsnDmLD45lD6LdYu2GdTFBR6VIEQmkzjmKsmB1ZYUPfujDvPzlF3PJjpxWXqJ0lDVZ6xAYvCspyor+0FFUiqyVkZocQcBWBSJUcVFuI30gLnY8iPCUaX9UFbuQN3jhEEGgVYLKKpbPLZKbnLKw4C3LnQ7btm+jM+gw9F36ZYehrwg+YIJCOEikotNbpWhkGDPEKo1TCbpSGJGQJlGhDRC8BuOo0oQnzs4zFJ48yer2eB1FqaKKWdXg0TmHFSUFCmixsukKFlozVL0OZmY9Im9jTDRBT5TBKFNzYqNIpapb2D54pHGUiebQ2dOQJqikiTL1trUiMYZEOaYnU9qZqwVGsTqZZp5E9wlhgQPH14Htsra9ipYWHxSrgyYHlrZzsncZMl1DQwlycZy2eZyZ9ByJqnBC0ikSzqzM8PBjy2zbOKDdmgAfYs72v2hu8YsLeEZYIs9zOp3OU37W6XTYtm3Li7q973Y0Gg16vR7W2nF1vNPpkOeN7/OenR9aEsvti0sLfPXe+7jpscfY3F2Nlggi2nvIEIne0lt2nDnOuf0T3PuxT7Djf35nrFQ8zxP8dA7bhd+DCAR/+7d/m9/7vd/j5ptvfo43A18LCu79u0+w81v7uPr4GRIfanOUenKp9259t8t1+x7n85/6O157x48xt2YOEIgQxlWrdRs2cPf/+n9w371/x5e/+CUGp0+hnMenKZObt3DLa1/DK269lfv/3y/yvj/9U259xS288Y1vfEa/xKIouOeee3jwwQfZvHkz27ZtwxhDt9vli1/8Ip/5zGfYvHkz7Xab17/+J77tWLyQ8Y1vfIMvfelL3H33746NLi8ca9bMctddd/He976Xe+65h9/4jd8YX5DPcFg58tgZBkuSVKcoZWKCiBTjlf75OLVACLJOUgggonq26EtO9K9kdrqDD4P6dbGxHKgj0oLHexF96qqK0HfIIiZbWBv5X4SRPlaS6JR2s83QFkxMTDI9NUOeNWsOoUQRBR/OR/VhlmWRRC2euhI9PynVfnMCGMPVWG0QQTI5MYXLq5g4sGYNWZqTmCQStUV8MLvM0cwK+sM+lXM4okF5ogQT1RK9pf300zWo0IyVqNp7btSKiS0tR6iG+DOPM2sXSZMErQRaSYxJMCZGzfng8bKKVQ3vMQraosfq2W9hW9txRhG0QClHkC5aKoXocRecx1ZD1PIJ8t5RsqZH6Gh1k2iFTHN0leBc4PTyQyRXHkE3NSYBlYhYETQSqSVSyQvyj+s7x8cWqxeuFvVoVOpQ7Q7d1S+gw404tyW2xL3FeUlVlvRCVIWO/BtH8XnOekq3Qtc8hGn3kalGGYEyHqklykhEnYbiEfiqYJgPCVskoanoL3eYnJlE9zUMBU4HTAPS2YSs2aDCUYQ+QopYVTUenSS02m2WV1YQBpKyFjqpCMqNMgQP5bCis9BFqATVTRgc6TGlJ0jStK6smrF4TQeHtwZ0ymB5wMqeFSaun0JngsmJSRKZ161T/dT7ykcAoFWCUJJHHjnH7Ow6lFog2JI0BWkCIkQ7nX7hSV5yGWWz5PC3TlDawKnZWdi6jVarhVESZIIcg1pPkiYkSUqnu8o3dx9HCEOaBAIFmU3QpkAQ+abDqqLbC9iyoj1haGQ54Oh5h5dEJpoERIIQSfTs8xWE8znLoxSSfr8//v/IMD6EWuqnFcFppmfmOLNwCrEskMbRXpcxn+/l68c/yqo/gXMFIQQkCuMnmHAX0RZbKHrQSNsxcxhD4sGZAdoosjQhFOV5022nENpQaIWsk3tQkV6hZOwcZElCkpgxTxHvKVWFclBpRdloE0hB5ygF6IAhIRORG5okEu8DRVE+RQUtpAKjGYhAZkwdgTmKt5QYrcnTlDw1ZJnB6FjV9cGiZAkeNsx0ObUyw+7Dm9nQfJwkC1R+kjP9qxmKizHJBJmCTD7K5uzrzM6s0myUaKkhKMqqx6bpFQ6dmuaxw/u58eobY+zi/y+N4hdvC6O57tZbf5T3v/9PmJmZYfPmzTzyyCMcPXqUX/u1X/2+V9wArrzySqSUfPzjH+fmm29mYWGBT37yk9/z3P9iDi1CNMV87NHHaR07yrZzZ4neewERFAJLfMTH0G3lHFtPneTR3d+ks9pjemriuzq14mkVgXvuuYc777yT3/3d3+Xuu+9+xtXjU36/riAsLi9zfO/j3H7yKDJEx38BMbqLgAqjMj9sP3eW6fmz7N29h1e9+tURLoqRNCRap7Sm2vz8m3+B3hveyLnFc/QGfSYnplgzPYPOMwSB1/z4q7nskov44Af/kieePMiv/sovs379+vG+ee/54Ac/xL59j3Pbbbd9WyXukksu4ciRIzz44IP8u3/3K6Rp+l0cwfPbuu+++7j99tvZunXrs77OGMMv/uIv8h//43/k5MmTbNnyLCsmL3jsqydrEnSCVrG1pkccmAts632A4BU+OKAizgiGEDJccQWrK8tUosKEAu8bNQCMJqtSRjDorK0nB1kLSGIFzDmHil3U+iswMTnNpIRWq0WeNUlMNvYrHE3Azju0iYKUXr9HURRkaWM8CTjnGA6LC6K+bC0YiZGEofYtbmRNVFPQbNQmtiaNx2IMBgPOR9sOrQ3dfo9er0eWRZCppUB1jzLsXoFOIy9SjqpqQtbmwlH8IobLuKWDZCKqgJECJRRKxezZvNHCOcugv4pwHpRD2wqlBEnnLKvLpxFthTQmniep8SLU6kKLtQFfdlCLR0hCQZApQYGUHqkMic4wpCz3Viiz/UxMD1F5iBxRLZBq9CVROrbblTQ1pcDjfInzMFJcS69QPkFlJXpqnp46Sq+cI6saCFNhhSQEUafI1LzGOpPXVpZhOWTFnURMHUXnDmk0ysTKpDQRjEaFecrEullaWy6iN+xz4uQ85zrnyJOMZDUhyOghZ/F0ZJ/VpEe+rsXcFXOopqbQA4IFQQS3JjPM5WvIWxk6VWihondlbV1SDCqWFpbJs5z12SzV4Yo1ZposT0i0QSs9BsqBQPASqxW5VOggCV1LZ38Xe5kgyVJSkdZK+pEI4jwYlDJy3bxssbJkOX6yzc6rruHsuQfRokQlFQSoKkOeXMytP3cHyaDF+//Tf6I/LNAbNpE2pzFSxuMm1HhhFO+3mnerJL2O5In9FVdcfg1nFh4lzwekSUCisc7T73ucW8eWjdfhvaWsSkIQeAfSl4DFBQeiwmhPNRziGm1sFVDKjTl+kdcXq3Oje+987J4lkZKllT5r161l7ZpZerLHEfEVHhOPU1UnEVmF0AYlQuTIBsMgzLNcPIaSLVxzDeXgRrYmu5j0sQIoXRpN7o2htA5RJ71EY/XzlcrRPEHNRVRKYRJDu93COc9qp0NpHdLZGDcnAwiBUwKvA14KkiBRAkLiSTLJZLMdF4nOUdrImZaIcRKJVApkTTQS9c9r4/k8kxijSZKUxLQQQuL8EB88OvXkuWO62eXouUs5OFzPsL+Iaa8nbW0mTXJ0mmLEk2xKHmDzXJ9GMyOpOYnCK5wraKQOLeeZX3qAsrqaRMfn27/ECCGwutphOBzywAMPIIRg166rn2I39L2Ma67ZxS/8wpu577776Pf7zM7O8ju/83bm5uae9/69MOeSF7bP7XaLu+66kw9/+MN84AN/RpIk3H77a7n11lt/IIAggI4qScH8ydM0en0aVTWupkkcCqjqykkArBC0BwNaq13mz5xhZmrie6Ya7Nu3j7vuuos8zzl16hTvfOc7+cM//MPzRrnPNOog25XlFeTSIlkxJBm1mLjQ/682JwaMd7Q7Q06cPFUzAUdqegkiVnVEiO2XRqvFtmaLIEecyvq9QgSN2y/Zwd3/y938t498hHe/+w/4+Z//OX74h1+KEJKHHnqY3bt3c9ttt9FqNb9t16WUbN++naqquO+++3jJS17yjK97PqPb7XLgwAHuvPO3n/O169at46KLLmLv3kefFQwune5x5nAPJfLYthDJOOXifIsn3hAyBLyQCD86kh6PxvgUqycp3dWQdnBVgZUW5RRa+rEdjBAils1DwLuRdUysfDkfW0TOR8FGt9+lso7pqRmyNIIzYxL0yGamvkysj5OoIEZX9Xo9qqpASj2uToQQ28mjCoWt3PnMVh9NpL235Hk7AsEkbita48gxGJS+ri4CLng63VUGg240A5YCWfaplk5jWwqTZmgl0TXh3QmJG7VvO2dI+kvQEpHeMG6xxQkiGsoGgpDRWxCBF4ogHDKUFMunEOSQNkiUQtecREKdsuECYrBI3juFSDwChaw5V14apIyA7MTCUZItA3QiYt6sEsT0LhFV1dKgVYpRGVpkdY50jH+LMd8Cr0qkCkgZUFpjUoFrLXL2zCqttIlUgirEzz6qTo/AoLOWsihY6nQZJPO0GyWJkmgVzhPypUTKmNKSiAaZzmOrFU2oJFlIaWVNmiaPAK1OoPDB4b2jOOI4duoIzctz5CYFoQLr6Pd7JA1Ds9kgzZJYgRSyFig5qixFyQEri11koShXCtawhjRJSGRGUkcNSh25oaNjjwsxdi4J5L7J4PQ5hjO1dyZ6HFE4EkT5kbWS0IAj9YZWs8XJkytMT93Exg3XsbR4kKocRNDQWs/01HZMMsneI3uYVwmTG9eTZnms+iqF0jLuQ32TjO49IPI9M8/K8iLDYjs7dlzF2YXdrKycwYeSRLeYntrB+vU/BGKSs2cWKVmhZEhhB1g3jFV8NME7UmVYWF2h2SoixcBFLl/cVhi3w58euVdWFYUvWRycQQ8sSQaH/Zc523wM3fQkCUidRAGQApAoH798Cj7v45vHOLqwSjXosd1dR8NNYBJH5XXsQnAeDIeaHB0EsTv0tDlslHRircXVHNN6vYMMIoq0amqG8iBdjKyz0qFDPO+VtVTWRjVxXQEdEZie1rCg5o2M/3LOIQUIqWO6iIhepFIOkSIghCJJhiRG0rGzeNMmS2YwugGJxIiKBnuYneygWwaTC9LagxEElQ0EWTERAr3hcebPPM62Ddcxeuy8WGNU7FlYWOD3f/8PaDabOOf5L//lv3LDDdfzy7/8lmftUr3QcfPNN/EjP/LDDAaDGLP5AlTELwSQPZ3q9nx/d9OmjbzjHb9Lv9+PArok+YEBglDbogoktiahE0DVt80oN3WkpI0AMUSSv9Q1dex7Jz7u3bt33BY+cuTI81K+esQYAKjgEMRor9E9reob3433PYJHhUNf0BYEEc2jRzwJccG9IEB4QZCjqVmA0DWADLQbDX7trW/lS1/6Mn/5l3/Jo48+xs///M/x2c/+I5dddhmtVovvRJjdsWMHTzxxgG984xvccsvLX9hBq8fCwgKtVqve1nOPjRs3j5Nhvm0EePyhEwhvULr27RIapXy0nFCqrmxdANpcvVAIniANygu8SDAqY2AnCAyxfoD1BdoLrFOIoBjZ91wIDM/zSKO5M66KYo1hj3OL51i7di1JmoyrcVrXwgCpx/sUfcPi+yQ+ozQF3X4XbRKsrdXH3ke1bYjbt85iXUXhCobVgP6wT5KmpFmKMinKjLZXHwPqKCsXgWEgkAVHlSR0V1YIGz3Bl7iyYnhkD36mS6M1HdWrQoxJ7JV1FMMuYXk/qr+MbeaxChocPiicq7BlQbe7gg+eylrwJQGPQ8b0BFthT+/F9QaY9gaCieAOEaL61AmKYRffOUyjOE2YlARfIZwmCIm1UFZDFpfh5MJZ1m6folqcJfQ9YkpgZgqkGSKUr4ntCYnKMaIBKFwoKKTDhQrpHSE0CAPD8FxC2QNfVJg05+zKKpNpg1kZCE6ikqjqRMbryFeOoihY6fY5eW4JfVGCXd3AYChxDWjMWvRUgaCKYgSZkYiMgSxpZB5soF8OmJmdotlIY9VYxyrLqJ1tQ4lJPI2BYWHvCrqnMVsVnc4qQkBrokGaJxijMUoRZARLKshYkZSKjUFRHKow/RQzaUilQRiJTQKVrKjkEITACE2iDbKK1W5V6jo+LWXl8ADN1Fhlq+uoQqitlaSLSUoqwWvIEiiHfU7Pn+Oaa3Yx0b448vIC0UmBCK4ff/IQadrGJClGK6QBLeM9ghZooZ7i0wf1PZwa0jxnz54nueWWt7Jxw0sIvoiMYJGANAQkJ1YP8fXu5zi+8iiL/jCFWI3Lv5CQh1mmxBYa2QZWS0+jl5HW5zjigZiswjOAwbIsGfb7LHVOc0Ts5lCnoNEYIubOkrU9KpMooxAqVs5F3c2hvg8j51gSNFTJMifOfJHhuVUu6t5MlrdYVoKiyrDW4XytOK6pKpWv0DWXz/uo7g/KYb0dR+QFoKwsoXKRHhI8Lli8L/C+xIYsXl94lPU4KeljqVxnzGN2zhK8G29nlA0dc8/jM1COPFMrR384iCb3PgrkpIzemHgHXoILBG+QWjBcXCRvT6MSjTQBpRuI4SEm05OkaUpDpTSUIjVNlDEEYRFlnAXTQjKZV5w4/jCbN11Tk3LE+QkB+F7Q4eiZ/vGP/w1btmzhzW/+BZRSLCws8Ed/9EfcdNNN7Nx5xXf9/k/fltaadvuZbOSeOvr9Afff/88cPHiQtWvXcdtttzEzM/2cv+ec48EHv8Lu3btpNBq88pWvZPv2i573/gkhaLVaPxCCkacPHXxEP5s3beKxVoPlNGNuOIiu7OH85eBr0AiwkmcM2002rFv3onygN73pTbzpTW96yvee631HVbzp6SnCzByrec6aXjf+sN5pK+pqfmwUM9SShckmuzZv5jzEfaZL/YLvyG9nUYi4g+N/33zzy9ix42I+8IH/yrve9b9x6tQpfuInXsd3AoIQK4QbN27kscce+67BoDFmXO16riGEoKoK8rxxvpgbasacADdwPPGNeYRMojk0EiEDUtQWEUajtETKWE12lUMIS2wPRqsWJWPrRHqJESnIgE0WKKp27dmn6uNp4mQTYoD8WKVMBGguWHxVUro+Z87Mg4A8zTAq8nlGHoVGJ5jEIOukAFFWEAI+jH6eMuivMiz74MFrjXAWJdQYeFbOUtqSYTGg3+1BbcqrtcYIha6B8CgaS0mJreo4qzEXSJOYhF7fYUtHVVkSVXLlupIVv0IzadHOJJmOgoQiBHqFpbIrmOaAE4sdqlJic4Nzgkp4pKgg9ClsBdSxew4q55FlSVU5rCvZOafo0kfqIe1ckWmBEoLKeTqVo2+7NKYKqlVBWdqYPhEkKlToylL6nNWOQIitrDxxESsii4R1OUQ2ekxt7rPp+nkmNpZIY1AiJ2EGSUIpFikZoF2bxX1Nju1N6J2chaJV56qIehJr8vjBM2wbDJmdnYxGwULg6sqMKz1Lq10OnVym0k3ksYtYObm9vk4smC7ZTJdN13RYv7ODaBmEbFAl0HU9lk6vkKcZzTwnMzk6UWNfO1lPSDponLRYUTExnGD5yBKlhm7ZZ3JqkixLMYkmScx44RNCVH0LYRF1xrCdssgyAj6nPctqiY5YpUocIfXxxipBl5pmaDCjp9FWIHRAqZTB2SUarZmxyjZJ0lpIIinLiqKIIEMEWWdJe5RO6HSWEfjzjycxerZFLsXK8hJpotBKIpRCiVh11CZ+JiklruboQgRksrZ+SdOUpcVFvBNoU5t918/NUFeyTnf38eDyh9HNEplalAQjJCH0GPhl+sVhgkzwM5PYwTXI3jVM1IDNOVvbNNWM7tpOptfr1b6Bjmbe4qLJyzkQ/gnmuuiJFJ0T49jUebpCzNHVNSUhLi6kBCE9SkA5N2DZP86guojQ30zPa4ZIrIspRd5HEOaqiqo/AKOwtkK6FK98tA+q20lVFTOdY9egItiYhe5ru6ayLDCpI1gLUuKEhKoghJKqipX+sdenc2Dr+7gsqWyFqipcVdatfB2zxAV4CqrSU+oYmSdlpKWUtqQoBcPKstqXFFWGNCUIh6sKXGLQ3lINTpA0LEaFCKIVKJ0iZAtBgZGrVEKCqpDac271JIvLy8xNXQCIQt3x+R6neOccR44c5bWvfe24Cjg7O8sll1zCgQMHnhcYfKozB8AzB1U8n9Hr9XnPe96DtY6rrrqKAwcO8sAD/zv/4T+8k3Xr1j7rtkMI/Pmf/yV79uzhxhtvZHV1ld///T/gbW/7Ta677toXXF38QRs6yPgwvuqKnfzttu2c2ref2ZPHUcEzYuCNzAgDUEnJoU1bWXfjjbG1+SKp0S88OM8NbM6blExOTrDlums48MgeNiwt0bQjhmOo821DjK8XcGTNLP1167n22usvqCG+OGPt2rW84x3/nk984u+47777aj/D5x4XqqC+m9XCmjVrCCFw/PgJLr54+3d8rXOO/fv381M/9VP1d0I9oUQhzb69pxj0HNkoBqzmCMakkJEfoMEYSVU5CqKQQrhROz+uKyUq8nqkJknatCbOsnD8DLLSY8FGwKEwKK8R0o8XGvE4eByWqhyyWiyztLzAxMQEUhmkGJHt40SqjSLPU5I0ZTgYRPsPaxnl9QoZK2j91QFDqrqSOfJM0+hEIzUUVcGg149ZxXkbKZKxpYys25NaK/I8I0kM/X4/VlicjfsyVisLSusYDgOCNkKvZ8PEVhrNFqnRcaIW4IKgnVqqBPrCEsQJhn1LljmUHgl1wAaBtBYZHA6HtdFCxVaeQVFROY1Uc8y2NpK3pmMrSAJC43E0q4phOku/46lUj153nrzhYmsSQRAe6wVBSKYmtoBpRsWzdAQUfmjp71tl3/E5trzsFBddP8RLCMIjgiWIgOxN8MT9muNf34z2M+SqhTSjzkHkYfqmpRIJR88skzUrkmj6iBYS6y0DZzl2ZhUrm2SNSZRJEMrU7TEb01Tmhxz+xwUWDh7nmtc6shnwWnLs9Alyl5OnWQSZ5ny1LVa34z1lXd0eDZAkgsawwfyT82RbU7SJ6RWj30t0VCK74CJHzgeCcuhEYKY0fjUeg9P6NIOJAclERproKNYg8lyryrHSX6Gz1GOdmkEIgxJi3LUYqWu11jTqHN5ut0tVnfeki68Lcb/UKHYQnv7s8s5RFSVKPDXlY/T+ed4gTROGw2JMj4ivU/W1K2JtK1jAEEHgaMEY+0QyKclmK0irCF5GyngE3gONgG0OoN3n3MIAu9RlW/clTNgp8sSAyTAICJ7+YMBgMCBNU1qtVp3lPM3ScB9ZZtHNBJUJtJFxAaqJtkZKxHztmuMXfMwJF60UhNAAACAASURBVHY0KyhS5yhmljm+8hC3bb2B3uGUheVhFLK5CmcjALNVxdzcHKdOHifLG3iTYEdJSEDwNfiAsTgN6/GVxVYldlgQhgU2HSC1xEoVj1soYqtfyrhPIYJhZy3OVtiqoCyGbNy4gZWVDrYsUEbjhCUITwgVuJJ+UaHlgMJXMTbOKoaVpD8smV+d4MTSVkqf0phYj8RjXcnq8hK6u4wpSsppgXSB4B1V0OgQ+dsQ3Rqk9dGPMVhsEOw5cIZX/dDUuHgyOrff65BSMTMzw9GjR7nqqqsQQlAUBadPn+YVr3huL+HR6Pf77N69m7Nnz3HxxRezc+dOlHphyucQAl/96lcYDgvuuususizDe89f/MVf8OlPf5q3vOWXvm0eHoHOo0eP8vDDD3HnnXexbt06ADZu3MjHP/43XHPNru9Ma/tXMPQobq49NcnNb3o9XztxlFa/z5blRVQI4/KgB0oleHTjVh674kr+p5/+abSQ3zOkeqaD90IOaBCSO974k7z/aw+zbvEcVx07FhXFIsT9RxKE4OTkBF+7ahcv/ak3MDU9g4+mKN/j3p/fXyEEaZry0z/9Bj71qU9SluUzqoyfPgaDAbOzM9912TjLMl760pfyD//waX7zN3/9O16Q3/zmNxkMBk8z4ax5RBYeffgUElMDM/HUl0iB0oo0NWR5QlEMa9J/bSRdE6PduNEQJxkvNNsubTPon6F/1oCYJtCKRsUKtHRIfx5MxiqjxwZLv+hwevE0VVlGu5JnOlcXTHxPP5dhtKr1gsGwIFWgtYlk+gB2aBn2u9hgsb5k0B+ybu0GirKoQUNNkgiM/y0Edav8GVbMQYBQDPolK70Kk29korWBRrNFI8vQdWVVCBHzlVVCoQxWJkxvGnDuxDcx+QAtNcI7hNO1ArnOIQ6B0sLQVvSLiuVOhc43YFqbaEzMkKYZaSJRUuGFAu9JZQQoUmiqsmBldYlOf1BXyxIsAiUsLmSYrAVGxsowImqjvSdYg+01OfKFFC2Os+XGFUq9QIWmHCr2fjZnfvdmUrUenSaRN6ckiEg7kd5SuQB6Cm8S+mVg88QEqTEgPNYJznWW8MkUedpGJRlKpdHcWjhEMHVqiEaVOb39Lb4xOMDL/k2BE12cV6TZmrqVP7Lk0eNKrpTRw05UNta5gkN5Raozsn4D56sIjpWIx1pKsiwnz5oMymGczK2LHEolkAnYpOCMWGS4pqA1lZAlGbI+9hDBg3IVMoVSVpw6e5ZZZrHSkmxKCZ1wnkc2bt3Gat0zDSkVrfYUI++Dp4+YUFESs9mf1smoQWeSJFSVfdrz4fx13Gq1USoCwREHuDbIAwJlKDENjUgi0InPGg8hprpYb9FG4LWkTJZZMl+jPF6xoXMdU/kEmYm+QFVVobViYiJaQ43O0Yqc5+jgq5hWhUlH5/GpwiGp5FjkEFu90U4ptqtjGcClIB0sFceYL59AhMupqgrvHcFZXA3GsjznissvY3lpkUGvW79vbarvPd65KPaqnyXOOby1Ecz1+1w8u46G1Ow9eThWUutugw/yKc+jEIjVRBu3XQwGSKm45JLLOHToIGfPnEXohIBE+ZSgJEjHQkcgnEMlJRqJcIJOKTi5OMeBs5djk0uYyLLoATuiPPn6uew2cGJ5O2tmT5CUBVY5KtEj6B4hJJTWUdmAKwPFAPqDFscPnuVl11xKw4yCBUbdr+9tnhQCXve6O/jP//m9OOdYt24dDz/8MHmecd111z6v91heXua97/1j+v0+69dv4LOf/cexd+7z5RyOikwnTpxk+/btZFkGxA7dZZddxiOP7PmO8/DZs2dptdpjIAiR6vX5z3+e4XBIo/GDYxPz3QwdRED46Mt1+4//OItHTvLP0nPNvv1cfHoB5QoUgm6S8a2LNvPYjsuYvHw7Oy7dDj62al9MwunzG2IsABEBtmzZROOyndxf9FloT3LlkWM0iy7GByqlOTK3hoeuvIpNt9/OT77xJyPfhphR+mLueggBYwwXX7yd48dPcMUVl3/H13vvOX36FDfd9LLveptCCN7whjfwrne9i89+9rO85jWvecrPRiX1EydO8KEPfYg3vOENFxh+1zd5CCyf6XHywAIpNd9CnP9M47knULd8PM5RtxEuqOiO/hQeag+6ECpmZ6aZmlll/vAi3kl8Jsk06KBwtYJOjFaiAcKoCuYsroot51Gbxdc8mnFOcFUxHArKqsJW56PXQhilEcSJqpW3yXUjqj0REERMFPEVhS3o9Tu00oRUJSz3l9Bpa0z89jXP0FrHYDCkLEtsZS/Yn/orOJwPnO4L+oVh89wmsnyKpI7C00aPbUSC90hhQThycubmtnJu/hCnV7qEIGl5izMepRxCqdj69lBZT1n2WOgEulXGprVbyfIpcpPHyqOWdZVFRuI7MXM78YKsvZ6kucj8ymE8JZMhYJ0hE7GFJo0GY1AichtjVchRaVBCkFfrOfSAY3J9SXtzD4Rn/tH1nPrmWnI1i04it1Kq2LYXAvCBIDRBGpBDPAnnVobM9QJb1jcQoqK7UnHi3BCZTiBTg0xMtLCRMVs1eEPiHZXyeKHJQ5vu0W08/uWjbFsXqQZjVfkol1ZKtFJkaYpJkggGQh9crPSioodlIhN6VRmfY/GmOb/A0AppxVM6ZUHENuVA9wntQKOdkiY5JknRxoOuK6LOoyqPIEU2At3JgsX+Er4l0RsUZcc9xXKl1+shpaCqoqp6dE2FEHDBE6Sk1WohajDLyI5FqPozRwW9xRLtm86DzaigH+Kcrflr5y1fGL8WGo12XbmP9/yoiirqzy0kaCMQiai5ewEhA144QlAYq/DOU0mFUZ4w16UbdlMsrqMc5vQ7PQIwOTVFu90mz/NxbrGUgqX+cbqNVSZSEEYhdExuUXqkIDcolUQz6Dpf2vkSSwnBEWohhzMlRkuKvODJztdJyg3YMvL0vK3iQrZybNi4mdILtl1yGd965BuRqiIkhAyvdFzU1JVBQohA0JZUwyFpYbl266VMJBknTp9ipdMBAiHN8F4/zU80EKzF2opq2KPb67F163YqD1Oza5k/c5aiv4ynSaotQSm8EOw7vA67vstE2kcFRSc0OLa8nTOdyynEJnQjJREQVBTQiaCwQaKsR5qEpWHO4ydz0uwAM7JAekllHAFP5RxFNaRXeM6sruHc6mY6WA6dXmHn5hkkflwh/V7myBEA27nzCt7+9rfzx3/8x0xMTHDdddfyutfd8bwKJgCf/OQ/kKYZb3vbb5EkCQsLC7z3ve/lh37oBq699vkBylGFb9OmjXzmM//IcDgcVwb3798/1io8GyCcm5uj0+kwPz8/BoRPPvkkk5NxUfOvuSoIRJv0qJiFRGp+6Td+jX+69CI+94l7+drRQ0z0ugRhWJicYP1VV/OmH38VH/rzP+fsuWXWrJmGFx1SPb8RLpC1nDhxmtOnjvPL//53+OdPf4b/vmcvk50OiXUsNZuwdQM//vqf5tW3vQqtVSRn/wueuNtuu40Pf/jDbNu2lTzPn/V1hw8fRgjJDTfc8F1fSCGEaHgsFR/72N/w5JMHueOO27nooouQEhYXl3jggS9z771/z4/92G3ceuutT7nYQ91c2fPQIVzhIXE1CPL1yrCOp6q5RmIQoi+cDVSVrwHRaOLxMaIuOEJwEYjhGKxCb2GGdjNleXmFoixpNdqkOseopFZSXtgmjuTqrJmyfm4jJ+aPUA5LKlvifIX3Cc7VFhHEnFmhYnRWVP/FtALnLa6yBB/b8ZnK4+/UflrBB7xP0NJEA+NBn0F/QL+3StZSOJfhXEAqj3CRB+hrg3bvIrdoZIsxyiwelBaz9WbC0lHSvI1ITEz50ILEaBKTIpXE2opSBnzQ5NZjs4yJLTdwpj9g0D3MrO0xlVlSPSKPgwuO3lCzVLYYTu4kn0lIGznGyNqbUGO0jq1SWac4MEQFTaJlVL5Ob8O1tnCkc5J1y0doNioSpSh8Gc1ta+sYKQJBBHylo0oYhQgeuus59NBZLl+7gF3V7P9iIGUNUrWiX5tJxnxOKaMYJjgBViIIOO0pteLI6WW2bZpGqRZHTx2kQpGaBKMThEwwStYtdUXAEawi+JQqOEgSUj/D8YdXaF02JC88umnj5BV0XCqOWvt16gVAUdTJNnhU8CgESRB0Kl9H90UFsPOOYVlg/YinaceLDOdC5FxqR7MtSXSCTDQqFSidxWMo4vuUKKQoUUmGaXhWWx20TJhotRj6gOO8kON8ZTCctzyqK4beOhppwux0i87qQY4c+Sarq2dBwMz0FrZuvZY0nWNqcpL/j703jbHrPO88f+92tntv7VUs7qRESbQom7JkWbKlbLKTTHb0JD0JbHfQSM8kk7g/DQZBEgQBJh8aA/QkX9xJgADdg7QnRr5labcTO1G8xYnttiVrs0iJFHeyWKzt7md5l/nwnipS8SYrzgq/Qkkiq+69p84995znPM////vfWt+ISRkqPnaX4xhCoKqimWUX6eK9x7Zf3kXagBAO50qmkz61nZKlBVm+gECTpznKCoSh7dqK6HZFE4JASAs+6oYlCd4rmJ/SDy/ylsXHSEazXLlyiW63S5bFkX6SxOMlKMuNzZdQRYNQJuaHK5DSxG6tiA5yo3KUTBBIXGhoROQWIgNeOtBtCo8SGO1YK19G9e+nKpdjhnlZUTU1y6sHkcownpSknRn27T/I2tVLkcGYdzFp3C52O4Peg7XU5YSksjx232nmkw5BSh677zSfev7zDPtbuKKDTvJ4A7d7Tvc+FqHllOl4xNziMjPzCwwnFUEoDhw6yvmzL5A0FtIakSQIpVgf3cfWSwNm0wqtlxiEYzTqTch0tnWxJ0ilcVqggmyvaxJUQMuUShnWRyd56VLDqSPn8UlN0LGjiq0ZV4Grm6u8snOS0D1GTxsu3Rhw76GFaBSNYqs3dF3aXXeGS5w8eR9zc3P863/9Ezz88EOvS+e+u15++WWeeOKJveJxcXGR++67j3Pnzr/uYnD3uvfoo4/yyU9+mt/6rd/i1KlTXLp0ibW1Nd73vvd+1UJw9++OHDnCI488wu/8zu/wyCOPMBgMePbZZ/mFX/j5OH34J2gK+WaW3mVGCwQoUAi+73u/lye/+3u4fOkyN9fX0Upx5MhhVvbtAwJ/85nP8/m//iw/9KM/yDcySfx9rdu8fvjLpz7JW04/wGPveIy3P/oYG+vrXLp8hbqxrKwscuzoMYzR7Z3O6+tk7r6x/X6fl146w7Vr1wghcODAAd70ppPMzc19xRs/nZZcunSJGzfWKMuKT33q0zz++BMtNua1zqzLly/z+c//D37kR35kz/30RlhHIcAf/MEfcNddx3nPe97Dhz/8YX7zN3+TyWSC1hrvPcePH+ff//v38+Y3v/mO5w+xeyccdWX50he+gHf78D7Eu+zgCD4iSrxzeClwTaAO8aIVfMwC9TYiO0Jw8STjo0vPErOEFYJzXx5SjxZYnpllsbfKdn+DwWAbqfokSUai8sgvbE8cu4XnctZlrjfHtByxMbjBpByRphHCvJeE4gNeyegUCgFv9V5hVjc1ZTMlNSmZyWM2rbyN/th1FiN3R92O/niHaTlmPE5Isw5K1QQZs3iCD6gWGr2rIbLOYm3UlZV1yWQyodM9jpzsILVGiXjjIaRESU2W5SSJZjKZYJ1HShu3SRmyzgJLh46ixNux2xfY6F9D1ZuIEFNFbJLh9t9FvnAcY5bgxlm0aeKFR4kIYjaGLM8wOqGcTmh8hRPRPa2lQumUbOk4s3c/gh9cZGP7ImKyQd/PYqRAGYnRBUbFTmRFTbCKWoDXBuMSdi6mlDuCWy9b6rUV8jxDGx8NO1JilCJrL/I+WKrGURMIwYByKDNlOKkYTBoWuim3tiuUSeN4XGqMVhht2pQUjQueSlR4G284nEpRqkFNZln/8phDjUBk0c8Z9VAC6wPaOZq6YhI8jW0iD5HXHqcuBHztaWqHTAVSBWopwIMSFZ5A42yb7wy+8diyBqVQSYIwsUumRIxbK7ICJQTTuorO0QBOR8yOyCSIaKRw1iKF2/ss7/L3AtHR6lzANQHXeOq64Z57l3n5lf/G1uYz9LoNeR4IQrCx9TyXLj3F4SPv4PixVb780jlcY7FKIaQG0RCCa0eekQ26h1Fy0fhgG0/A8qb7DnHmzJ9y7cYzWLsJOPCGJFni0JGHYHmC0gJ05Cnevolrx6oyIJxDBIcLMS5QNIpxfpkL1bMcGJ8mTzPSNn5NG9O6qTUTxqyXl9G9ACrq1OMpwSOlaTuDCUZ2SEQ0J1mmBBlwyuGdbSHyFgV4GZBa4NSU4fQyri9xLnIOl1f3keQp06ZCWkcQkoWVAwgEN65epmkaTJIgdOw2EyB4i3WeLpKH7j7JvtkFyrLEK8Fc0eMdp97K37z0JTaGA6SpYr680EDb5W0sTVXRXVhiafUAdV2BsISgUMZw8OhdXLt6EdfUKJ1FBuHxeYblabY2jyBNTmd+P1kyhzF5pCioBJRsoxk1AY8Iqh3w1wSR0PgFLm/fgwib3LV0nUR7HIJJNcNa/yA3h2+iNgcxuUFLw8bEMSotc1l8X2XrBP+79Htud9t2/3z771/vWlhY4Nq1a7ztbW/bmwqtrd3g1KnXnzu8+3pFUfCLv/h/8olPfJILFy5w4sTd/NzP/ezXdBPvPk5KyU//9Ps4efI+nnvuWbrdDr/8y7/EsWNH/1kXgbtL85pfYlcjEAPJ7z5xN3efuPs1Dwgh8Njjj/HRj36M/+kHv28vU/MffsXe4M7OgKef/iLvf/8vAHG0tLK6ysodEOg71+t9y6y1/Omf/ikf+9jHmJ2d49Chw0gpeeaZL/GhD32Id73rSZ588kk2NjY4c+YML774IpcvX8GYhGPHjvKe97yHs2df5s///GMcO3aU1dVVjEkYDkdcunSJwaDPE098Bx//+MeZmZnhXe968nVzke50Nz333LM8/fQz/Pqv/1+srCzz7/7dzzAej9nZ2aFpGubm5qL54iu0hG2RguTaxRv0N7fpuEVscChv4yjGg5AefOzuuBCQ7raLy4dYKDofL6rOB1wIBN+67dyYenqNarJMkYBJa4zJ6c0coa72MxgO6A93GNRbUaC/K6wnpp9kxpCrlPnuIpvbtxj1R2RphtJR5O0BpzTSt4WhsHhnsX5C0zSU5ZRq2rCvt0Ii23GUUnewzlyM3QoBpMGaFGUKhMzY2d6iyHOMMChABkOQgUaKWEP7AN7R2JqmqamrCePRgNzMomUCWAgxEi6I9iIvIhTGETOKQ/DtuC8y/zQSlRfIvEtvcR96vI4fXcfXQ4xSyO4BXO8wXhimTaD2Fo/fTf+Kb+kez8zj2E2IiYy0yEkLcZTZmyebm2Vm6SBudB27OcFv52iTkuWaXpYyqS1uGmiCj0L0tkPjJjOMbyWsX3So0Gu7RHHML1WE5eZ5SpGl1HVFoMK5QCM9XkqEkvigGY5rZgtP1Vh0kiNFTLKQUqCNoMgTiiynsQ2BiPRonIuCMKmQMsftCKyxNDZ27Kxv4r50Fmsl02lNVUewuG1iFzm4WNg7D03jqcoKVSq0yVEIrHDIBnyQ2MbjGo9tAtY7mmnDsD9EmHiuUSF2TpFRS5okGUYZamtbGUvSdiptq8MEhKRpahA1IZi9ZIrdtyeEWHxaa6nqkjRp6BZrTMqrHD6iyfMkprAEgbc1k0ng5s3PgHwTczMJ42kNug0FCQq8womwp4P1bfFpnaVpKqq6ZnnJMJ58gsqeY/8+SZZG5793ntHkBpevfJjtsUUdaZ3KOolFmmxZjL5BeIEjJmTgPVJDSAWicFzafBrZX2IpX0WrCPRWIqa8aG1wtWVqhzFWUobWoCT3aBCiPVdJkaDJkWic8K1hLXJQHRJI4mdKWIKIN4kmS8jnlgCJsw11bVHTOjIwRYSP4T1CJyws70MlBq2TO6QDRC2mD9BYbgwHzHbm6ekM0UCNY6OcQqfLvJlBKh05n6j2v/E9jXpNTVWVKJ3iRQBREbyjaipm55YxJiaU+CBQWuBVzhTLbDGHMgXSaISRoBVCyxZa3iKuQmS+euEJ7f4NIcE3K1xYu5ftjSEz6RBneoyaN1PJk4RsHpOAESlCGRrhuLI5Ze7QbSzanbvhja6/a7H0/d//fXzgA/8JrTVHjhzhC1/4As453va2h9/Q8xVFwQ/+4A980908rTXvfOc7eMc7HvsXUQDeud5QJffwww/xX//rB7l27RpHjx79Vm/T61qh1bR87nOfZWFhgRMnTnzL2rRN0/B7v/d7nD17lp/7uZ/j5MmTaG0AcM5y9uxZPvjBD/Kxj/05EDh+/DinTp3ix3/8x9m/f//eWOrJJ7+HF198kU996tM8//wLVFXN3NwMb33rab7ne76HlZUVnnvuOf7zf/4vXL16jfe+9z2k6TfWUOwWY6PRiN///d/nX/2rH2Nl5TZpvdPpvIZl9NXa8Xso7QAvPn0RrRRV3Ue72NGRvh1z+AhKVTbsoTDi/g+39Uw+jtZcsDGP1Tmsr2j8Jnlvh9Xl/cwtWJLOACkGuAbqUcbCaI5QHQFrWs1ddHtKoUA2KFXiXEWedeh0CoaDPlqpGENm4kgqahPbFAcTUEYTRE1TOYaDEZnukCQpQkmUVugkQWsVTSo2gmh9kEivMC4hM5puJ2dtY5uNzU1AYG0BQUf9W6uRVUqgtSEoT9VMGQ5GTEY1R44fZ1L02PaeOnisDygLvgk0wjJhgqoE1nms8zQh/pyzDhcSUi1g8Apu7cskk+v0wgChoMHg1jV1sgpLJ8kXTlJisI3F+QbrNdIrhBWEKYiyihd762KXybtWn+YxUpFON7FrX0ANLpL7MUlYRHMKE3I6UtNLcnwYMZ3GputuTg9CIJyh2gyUm9E1HiP8DDIIJAElINGSIksRwTEp69jhIabPtAcxk7JhUkX9WntUteOp+GetBEWaUInASERbk2zNbIL4r+6+DjofMpJjtM3Iaw+iiYxUIWi8Q0kBIY5CrY0d69pV1E0du43jwGhrStCQkZDUknKzxG8CU9BOEwI00uGEwg0MZjnuUx8s0quoR3MN0+mIWkisjbiU4Jv2y+N97P6JYCnLKaGFfUeY+y4f07dGIUdT14jgedMDc8zMXmJln6FbJOSZQElD5DwqTBIQynLj5hkeefghnvrkeZppjcgkLrR4LdnEzOQ9w0rMZ66rGmM8x446pLjI/n0FeR47s3Fs7UiKGtNxjO02UiZImWBkjtIpijjGb2SFdRUhKKRsQDq8snilEDowcdfoNzdZntkfAeIypm8gYt61qyPzL/cS5QIhaDwK2RazeAVBEQJRTyzanF8PPghcEAgP0sf9J0LUwkPAFBmZngUbDSB1VTEe75CHDkobRPAMBwOcteTdDipN0CpBCwmK+Jn3iuAaKtdwsyyprpzj/v2HyaXmwuY65ydbiF5GrlOU1njV6ldDdCV71+AaR1NO2dnepNNbQOnoPJ6MS4K3FPksKo3gciTokEAArQyJyTDSoJVBSxW/lEKr6JyXEpyLRiJHjPMM0uOVRhhDow9ybai5ul1iig7FzEFMModOJYlMMSKJ1GEpub4VuP+AaAH5txFs/5jr5MmTvP/9v8BHPvKnvPDCC5w4cTf/5t+8l5mZmb/TNf+bfezfvpb+cx8N37m+6WJQCEFRFJw+fZq/+Zu/4ciRI19zZ3wrd9RrOUMBIaKp4C//8uP88A//EKpFdnwr1ic/+Umef/55fu3Xfo3FxcXXfE9rzalTp/jFX/xF/sN/+L954onH+bEf+9GvKjzVWnP69Ok9TYP34TVxbgCnT5/ml3/5l/mt3/ptfuM3foOf//n/fW8EvTs+Go1GlGW5577bfY0/+ZM/odvt8u53v/ur7ufbaIqvsmNaY4ltPGUt2H/vPqZDQaEVnSKS6qUIOFfibMumq2rSFsas91I/4knZuSiQpipRQiAbhxYFR068lbnFHmkatT9NU+OcpRMEtqop+xNCNYO1UUifphnldAJqTJ5FBEleaphf4daWoHEjVu86ykx3EekEvpkiCOisg1fRnX3hwnXyvEM3DawszFCkgjSJOJE0U61Q31NXDbKqCWVJPZkQmh3uPnSUA80sG5tzWDdlZqZD0ZnDyJT+5i12NvtkWRHHZcpjMkVHpvQWJUWySm9mls+MdlhvFNmogqQhc4KtSU1vfpaVhQVubmxw9vwFKgskikZIfFUx9Bnh5nXcxpfpuAFGdRDkaBe46/BBZosU3zgmfoDXfdSRFXQzZmwKzt5YQ+io3XLWkiQmdgTbQrOxDdPJlM3hECUuYOpbJNPLHMhnSYoehe1x0Fucu0XSD3TzVfxkwPbadYzzdJIEoxWVmDLG0ru2zOFGojMHYoSd7tDVPbKQk4WUTl2TjUcUzlIoS20arLA4bWmUpRKB7rTPdG3EocxiVIkWHiwIJ+mInGIyJoxv0kwmHFtcglRS15KbN7cROkAPVpaPMtsFOwmEvmE6kfSnDjmvMXkc5SYiQcpIRnCBFuDd4KuadH6e+ekiG/0tXCfHhgQ70SR9hVEGM6vj2NHHrGFR18wVXYKSmAY6zRYzfkpHSHRI0G5IhEBb6lBTh5r+pGH7nET0l8jSDqoqeOsDJ9pcYoWQkmvX1lhfv0Wedyiy2HHz1nHk8AGWlyuUzmgqw7ARjIcO33jQkqKTMjc3hzYBk9UId4SNrYLnzz5DtTgmmZVkiUKnAq0iiNs5R13H415OJ+ybnyekNWV1nF7vMGkWNacIT1WWbN24ybSumfg51idbqCRtR5VZzLolYH1NbSvqpsLZCFyvqynBKZTK8A1sqQUuVQpNjao8So5jJByB4WiN9MZ+epOGMhVsdDJklpOkaezCao1WKUqkKEwsCl1CUxtC3UU1E9LQgJcEK6GxqAr0jmM27GPBdEBKmrRiXWzTyabIZESW5Sg8Ra8kyTKksUgZgCV/1wAAIABJREFUGY+xEegxpabnZ8GDQ9BPK8bNFrfSEXN5h4ptVg9qVAJaOKRSOAL4gKsb/ESS2lVMIglpwdAOGMnrFDORwNDteUyRkuhRdAZLwCsm56+TOeiojN5IkzUKUxOzsrXAGIFWoFU0RDofsDYe27ZpaGwdta/DAaYs6ZglhNCYuiAfddGNxJQCiUIqGyHrQtL4KaODGXMLCQHXhgTwj2AUvb2EgFOn7v+mxsJ/P9shvu6f/zmvNzjjFTz++Dv50Id+nx/7sR/b64R91Q7UG4BC/u3n+mqPDSHw/PMvUNc1Dz+8a8B44/rF3debTks+8pE/4z3vee9XFIJ3rvn5ed73vvfyu7/7u3z/93/f63IT/e1CcHft37/Kr/7qr/C7v/u7/Pqv/zq/8Avv5+DBg3z0ox/lE5/4OJubW1FkHTz33HMvP/RDP0yWJfzVX/0Vv/RLv9R+75srvGNfMLCzM2L/XUscMot7Jo4AbU5sw3Q8pT/sY7QiEZLxuI9TijzPSZME2UZ2CWvxdcVcmtLpZoxHktGoJKQ9qjBD8JpEJKhExYsroFNHkteUk01Ggz7OWbrL+1Aehv0R8/tmmekUVLVlodKsDmbY3rjAA6d73Fq/wKWLr1JNJygpyTodDh08xsHDq1y4fJ2l1VPMzvcockOWKvJcUxQpRadgPB4zmVSUVYUqK5hMmGxtwmSNg8eXuXTpHHAZ3JTRjgRWOH7sBL3ZktJvs7gyT2+mS5alpGlClmf0Ol0Ekp1JzXMf+QLeB1Z6s+xkEu2htg1FXVJOJzz98jlefPUSW2Ugm5lHZvEiHbRETLfQYh7LAr62+MbhpmOu5l1+5N3fSWEMcwIsrSPZWcoycOGVV3nx1UtMrCMrCpKsAGP2ovr2dGIVlDfPIL1lZmaeuSP3ElJNtyy5V42YlGPKUcVd2SxPv/AszeXLzPR67F/dTzcvSGcTrF2mGuYczjy1hOvrl8gyxaoOFIkjTRoSWaJ9jEITRkJBTESxYK2irqOmcfvWNic7OUKMkXKKTgxF0UGpkqbqMxlPmG5scHjpAY4eOYJzjs9vvEyaGDrdHpk9QlibobYNrp5ST8ds1wPqHhQmIy1SEpMjkxSpJVpGth4IjHP019fZXl+nu3ySNEtj92UhxcwrFBonPRUWbx2h9oS6gUlBqEs61QZH5vos5gndQmNSi1axOHLOUemaUtRsasfNaz309kFmiiXMluJ//j/ehTCtiSvAuXMX+ciffozV1cPMzhStDjNDqgQpAoS7mQwtjfVMq4rhuE85mfCORx9mpnsYuoKlRQgotgcvcW79y1SH10iO1XSKnKTIyHJLkiR77uJyOmVaVmze3KFeO4mpT/L2he9CK9mCBgJGOS6c/wRV3XBLGy5ubSOTlCRJyEyUcigpqWzDtIkmL1vX2LqinkzxTjC7soxIJKOQcnUQcH4cWX/WEuqKajRisrPNXLiHMtU0WnEtKOrEtE5tE3W1u+cn5wlNQ12NEWPFSj3DklHoTCCVQQiNFhblHaqxLC3OsN8ohNJs2OtMu5eYOyTIZ3J01pBqjTIaITyeaeyiN4GqaihHJf66ZblaoZAdmlAhxBV6xwLZYo3MRhxPIwJHiLDX7Y3RipZyWjG91ZD3c+bVAbSW7Kgxg94O+TKknQKdgjGgZYVHgXOExvD0R9Y4MHOCuV5O4RSpAWM8StlYCGqB0j7KD3xMKLKNRbfOZdmU+OmYyeAWRnhmugv0TIE2Car2GKlRIurGg2xwQRC8ADtlbUky99gyAUUQtzX6317/ctcbKgZjlX6K6XTK+fPnueeee3jhhRc4c+YMg8GATqfDvffey1ve8pav66b9Rst7z8WLF3nuuee4efPmnl7g9OnTrKys8Od//hc8/vjjLd+nFU29wduX3U7c1atXqKqKhx566zd8zAMPnEJrxfnz5zl16tQd3/la2/G1ty9NU97//vfz4Q//d37jN35zj4H05jefZnl5GSklVVVx6dIlfud3fgeAH/zBH+DIkSN72/9NLyF59dJFhtMhiY2uXhB4H7t0VTUhz1MeP/0ITz/zHFIq5ufnAEHd1BGV0EYlZUXK3MIcCJiMp/hQ8V3f/QQvv3yO/s4wXpSTJroDRYxYstZSlRXOWd7y4P1sbGywvdWn15tlZf8qJhMRxEpNCJbgG+pyh4/8yR9hsh6d7jxZdwmhBM7VvHrhMs8++0XKMmC9xYVdvZ7HtvR+pkQzwW5eaLSG4IKlP7jKXz51HWVmSPNFsjQhBM9oPOGLT38J67Yp8v1RkI/D0xCCwltHVZWx8+QDrply+OBB7j1+F0bZOGpxAusaNjY3aZxnZEHPLSDyTsxcNaYVzmsCBhUCItQEHRBSc/b6JkvPn+Vdjz2CwJME8C6wsbbDhedfwvYjfqIzO4ssCpRJIkanvYDK4FHOEXQKWlENBhxaWubgoVWkTgjDIW5aoohh9uPNba6traGkYL7Xo0gMudakWqOLHKMWUFJxc2uLS1cusLywSm4SMi1IlMCoGIMWdZoR/O2cwwaQIYA2eJORpR0W52dZWlhqtWcuOnGtRXqNTw29bocrly6wsjCP1gajZBszJ7F4pFPgaqzXVF6CnuCaAc2kS6YcxldI18GbFRozD6IgIKkmE26tr9HrzZDkBZmJxoZgDEJFvZcMCuMNQXoaFZMichaYulvU9YRuAXkqSBNFlhiMSUBE5JEMHnygUwTyNKPRBYlUMZln73QVb0KzLGVleZletyDPuwgd2LFrDJtbBOnITcGsWiVX8+RCIIJE2BSpEiDyGnclDHcdPczq7GHOD67QVJ4qbXBO4CtH5VR0LFtL42uausZPDEVY4r4TJ1Ayi2NWBBDNVSYpSDLYaSSSConBiIRUp8x1O2it2RlNaJyiaWUboKIz2Vf4yoMTOFEjiON67yKqqakbqsZiuj126oSBFGRZRq47pL6hnEwoxy461WWb0e0dQgp6jWTOSZaLhNxE2LhULStQeEKAWltqdYutUY4MhhvlBbr3emSeoBKDMaBShTYaLRUhtKawONvF555JYdHdlIPzx9iYbjC9fp5O12BSUIlEJ7oFncfLqbcNFkkIOkpnZsZMNi9ixhqCYlBcRncbTJaRJKATQWIERiY4Cd5F936CJlEaLTQ6aHRQmKDQKJI27jDNYr5tXUfNZjTCBcDhUTRCkeiUJEg6Ko/aaWWQMkUp3U54WrOLj2c1LwtuXhxy79uXIo9UhDb15dvrX/J6w+6PNE145JG388d/9N8YT8ZsbW2xurqPPC9YX9/gs5/9PHme8773vZcHHzz9ujqEd2rcdnZ2+OAH/z9eeOFFFhcXmZubxTnHl798hj/8wz/i0UffwZkzZ/i3//an73jOv9vhKoRgfX2dffv27WkEv97PKqXYv/8g6+u3OHXq9bz2N+ocSp588kk++clPMDs7y0MPPRxdae3SOuf++09y8OABPvGJj++lCOzq976pgrBtpNZlyXQ8ZEpM6xBEtIvWkgP793H//SfJi4zG1nzpmecohaAoOvS6nT30Aq1D0dqGcjKlKkfcd/IeDhzcx8LiLGfPnuPK5WuUk2EsBmmRI8EzOzvDm9/yIIuLC6zuW+Kzn/0fjMcjOkWB96bFxFic81R1w6Q2zC/fTW92Ea3TqG9UMdLO2hKVLlCu3aSup3jXw1mHVQ3SCqpKxIzR4HFN7Ew0ro2jqyuCXGJ+fpmsiGknt/emp2lKdrZvUTaO2pZ4l+GdwXqHtA1+GvmKtYc0n+Xm5jYTAgd6M0B05gZnUUnG9cFL2CTDZDnKmJgpqhVKSpTQgG6xHxItbGtWyfji8y/z2IMPMj+T4l3g+pkLnPnis0hhWBuOoehiigKdZq0T8nYKQtTMObxSaBU7w1dubrA9aTi6fx4hFOXMhLIqadyQV149R3AeowxpmpLsbp+K3TVjNFon1FWNlIrUpCjZJrEIiVK7kPIYF+icp66qtuCLyTZKgVaSxlqyPGtvQmrAoX00mxitydOU9VvrPP300+zfv9rm90p0bwY9TmlcEzuOzlK7Cbp3lf3dqyzNdZibVSSpIwTBtD5Df7rEUDxAI2fZurVBYgwmN6Q6RycSoQ3apBihENK3mtKAcwFtiXcXSaApcsbjLl7WSNWQKInRCUrNAB70EKVqlPQokeLq1n0rI7sumhLiBzEEx4VXL5JlXZI0Ybta55WNzzHJr6C6Fq8VwgeSaYcVdR/HirdhXEKSWq5ducGhQ/tbA0/s98/M5Lz94Ue59tlz1OtXUYkllTHPVqiKEGJ0YzO1NANBNjrAkYW7uOvuo630Q7anCMmttU1qWzPbnceEGvCxA9Zuu1IKo2K3X9CiTRDRcBEUuEBlS2RI0UHhaSJtwDls3dBMJghrqXyDJ6DRlGUNWEDsIaS0SuMxrTVpljKjQF2+yFKmSfIUo1K0lEi1yyvVEYyiweUjrvSfpRnXiG5FLy9QJqYFSR23PzMpJslwrqGqHSiB1RKtNKKo8VYCOTUB0YvxgIkUKB3TYWKkYIEgUJaTmEftPUoKlE6o8h3Wyxfjvk1LZpK0ZWlKjDQYnZClHaSUTKuyxQLpGAsqYlrQ3j8iyo20NqRZ/D2c98jG7eG2dv+RIsqnlFAomSBVgpLmtuZQJ22KR6Q41DYa3+qhor9WMX8g+yegGPz2+odYb7gYDCFw7NgxnnrqL3nzm9/MO97x2Gucxc45Xn31VX77t3+Ln/mZn+Gxx16f+2bXGPEf/+P/g/eB7/3ed9Ptdl/z/Vu3Nvjc5z7Hvn0rzM1943Dpb2Yppdo4s6+vedwtbmPm5t8yZb+BD88uJubjH/8Ezjkeeuih1xSCd67Z2Rkee+wx/uIvnuKJJ55gdXXfV/25r7/i9r/jnY/S3xmwtd1nOBqjpGRmtsfiwizdbtH+XoFjRw9BgBdeOEO/H3Vzu0w1iGPluioJwXP//fdx94ljgCPLDadPn+KeE3eztb3Dzs4A5zydTsH8/Cxzc729k9HcXI+3P/IQTz/zPP3BDoYOGBGj7yrLdFqS5bM4H9jeGZCYdC9zVQiFUtCbWQCRMJlMqKoyxs21XpjgYkfBQywEbRMzicsS2wQWlg4gkIzHU6C84z2VSAVz86txxDytyPM6XnikIHgwIua9VkKgkozhpOHMqxc58vgjrcQ+gLMM6ppb/QEqnUG1XTOpIo4lVQajNQGonUXYgCW6f4NLmVQV569e4Z2n7+fCK+d5+ekX6SUd1sspw+BRRYZIE6QxSG0i703tJmJ4vJU4KTAEZBZomglnzl/grsMHSQtBMjdPNRmwdXONcjqlkxcxP1XpKIZvhf9CRqhukqYgiKYetRtfuBuHFp2OSZpSFAV1XeNsy4Zsv6SIiR8ISbfXo6nr2NPwdUSUqPiass2FVlpx+coVXBCsLCzTm1+imqY0TU1jK6pmQhWusXzgFsfuSZmdkeRZiDIKJI2F+XKN69tjrg9PMBh5ZmdmMSpHGInQEqMMWgmMCUiZEkLrOqemRmCDIHhJ2uRMWWBabSNxeLELcW5Bzu0UIIiIJfIubUsss9cN3F1V2bC5tY3RBevDS7wy/WvkoR3SeUjSWNATHK4ZsDb8PJN+n3uzx9Emoz8YUtcNaTtJIAiE0Nx/8j6ubz3OZ889RcUmfl9Fk2mUBBc01la4HYG8tcix9CSPvvUhlIk3wLub5wmsrW2QGE1IPf3yZjySd2HZzjIYTZBCMG3aqEfvED463L33BAthYrHa4URrxnA2vmfVlHoyRRlDUhQkJt7E7N6phuBjPvl0gneWbrdHkqakWYZeu8IMliJJSFSK0QkY0CJqggkC17rgbSIQnSGT8Q6ZTkDlxNpZ7MVImiSlU3QpqymVbQgyOqcEMef70sUbXB94Rn6d9K5YoKGiCUZIgZKKIs8JwdM0VYyxlAFFvDkSaUWyGm/4J3aEUBIpDEIJgopFdZplGKWw3uIr3xqKIhD8Du4/UafNnkbQeQgumttCiPKfXVj27iEpW3C3UJG/KVtDnUkVRkcpSdM4fOwG4J3i5pUB8wdS/mlYSL69/r7XGy4GJ5MJf/iHf8hDDz3EyZP3tn97+ySnlOSee06gteKDH/wgd999NysrXxkC/bdXCIEPfehDNE3Nd33Xd+8VCrtLCFhZWeLJJ5/kz/7sI3z+85/j8ccff6O/xmteVwjBwYMHuXnzJqPRuOUDfvUlhKAsSy5fvsyRI4e/ZWaZT3/60617+eu/NSsrK3S7Xb7whS/yQz/0A2/4tUejEVevX2dra5uqqpFSMhj2aZqKQ3o/eZ4CkRF17OhBZmdnOHvmHLdubTCydk8zqLViaWmBE/fczfLyAlK2jm8EVd2wdnOdmzdvMR5HSGySJkymY6Q6yPzcDBA1NwuLc7zznY9w7pVXGW5vUlcNVTVlNBq2wOoJM71Z5mbnSdN0Lzs5BEHTVJTTkjTJqauGwXAUCy4UwQuscjHWLsTEjbqp2+ceoLShLGuMSSiKTgs3jced91BVJePxJHbD6pgYIWTMQvUKXHsFraQApREm5er6Jo0PcR/6QFCGqtrANgGZx1g8KRVKRLNCnqakmSEAqoygYOd9LMJU1Dyt3dqA2nHx2TPkGLKsYH17A5eYNs9XI1qXoWlj2YSIubw1DYGA9AGvHSLJuL6xxbCs6HQ6qCynMzOHSjI6SlPbbeqmYjIZE5wlbbNk8yJHz83HgjBJYhEU2lSfO7S+oUUPWRtRQ1/hxCOiTqSM7tWIO/H0+30m0wlVXUctVBOL+KIokMowqS35zCxpXlAFS91MqOyEcdWnu3qNQ3c3LMwXFLkmTWN3JwSBdZZMBRI/YTh4GRUOItUSSqqYmNIWtUYptElIjUbYmmq8QajX0RakL1AkTFVC0Ck7Y8MhW+Gtx6oaIUeAj8WWczgr8b5G6RrnLSFUhPDaz3bTROyIZcr5/hfwd22QLSeYXJFojVQegsE3GoyjH17h8qTDQfN2msphrSfbPVpFLPylCjz81rdyqX+Wi2uWZjpC9UYoI2PE4EQjpj2SMM8DD73ljlQiF0eCbYLQaDJFCej7m9woz+LCUYRzWCWpWgg7IrpYG9vE2LXQpvO4GjsZMa1rSFXE9iAJArJEUVuLSTRpbwaV5lFvqTS0YPDQVJTVBOc9dVli7WbspBlFZ7DNTKrb4l2BlnvyAaVkLIqdi3pLq9kfllmYmedWtYGyeg+/tJdkZC3TchpNcA5E61R20mEJFOkis7MHMHVg5IdYUeNChnYS76JTvCynxCmAwweJCxIr4gQkqTKK6QxBCJwRSJfgW/c4beFc1xVORANY8NFF7JxreZXRJb1LcBDeIRtLmDgU4GyMTAw+tDcwuwk2ES4ezwN33ohFxJM2irzTOsdHAuUCXjYIp1i7WHLyEYGQ/zgs4W+vf9j1horBEAKf/vSnEQLuvffE1/3Z48ePc+nSJZ566il+6qd+6hsWLbdu3eKv//pv9hzCX2t1OjkPPvggH/7wf+dtb3sbSZJ8Syzm+/cfYHV1Hx//eHQpf614mhDgk5/8FIuLSxw+fOhbUggOh0O2trZ49NFHXtf27tu3woULr76h1wptl+/MS2fRJiVJ4sjVeUF/Z8TGrS3OfPllHnzwAQ4dijE9QsLi4hzveOfD1FXD1naf6aQky1Lm5+fJ8qgH3OuMBrh+4xZPP/0MdW1JkqwtciWTcUV/5yovnz3PiRNHedOb7ouOYxEoipzTp0/x8pef59K5c4yG21y5epOyqllZWUEpw87OTpu3utsZFCRJSlH0mE7HZFnO1tZGhAvPCtLMIE08CeLi2G9algz620wmI4TWzPRmMdpQlhEevVsMSikwJqHX6zEc9vHBsrm5TnCWpguJ0WgVJ4hVCLFjqA2TMnYRF3ud1sAhqKwjKIHQbZSXFAQZeWuZMSz2ZrDeselGlE3LhhS7Ix/BdDTh1pU1yp0xM90FZJLQL8uogVIqfgmJUZoiNeRJLJindR35ax689LFLoFPG4wnbO32OzM3hkoSs6CC05urlSwTv6XY7aCWRMorUp9Mpo9GI9fV1Fhcizsg5R+1uR6jdCTWuqorGWkJok2uc27uoxVF4QGrN1k6fq1cvc2vjFgIRk4JaYoBzjgD0d/p0ujP05rvknR7GpNgwYVSNmNh1Qvc5Dt5TMzuXUmQJRW5I2oi8gMdaiZQpzk84tNBwfcfipQDZpigJjVcBoTSZNqTTS/Q3P0Mur7CoYqezCpYtt4D3dzMROYOBpKoCSjsCFdbGfGBnPVXlKSvLZFzS2IpgQ7t/ds8Vt3suQgSubZ2nnN+gO6vIjEA48L7lyUmFNh6nAmGuZmtyjsVwD0rciaJqP3vt8TLfW+VHn/xf+LMvfZCL6xdwWwtYZ1FakqSKfDbnOx/4Hk7su3cXNHX7s7u7bcLjgJv1K7h8jLc1ThhoBJUD245lw+777h2NtzhbIqZDlt2ERlZM8kW06tBJDUnRoRoOGfT79GZmMFkHaVrXsJQoBOVwymBrA6UkWaeLbGMcaTWDo7zHuXKMTeGAlmRSkOgUnURoOSGaWpraM/RTmqJCdTVqIqnKkrRUoONNkXUNZTmhaar4ezSOOjQ4B3KkEesKNa7xrJMJy3SkkCOFSARO1ziXxs638/HGyzaEpkE0llAHppOK0lctG1JiKRlPGlTRwxuDl45a1HsYIOsd3gryvEdjK5xr8N7igsN6B04isDQBgpM0xBvWiKuyeO+ivCZYrG/w7Q3lV1xDEHdMP+78/ygRmOx4BhsVMyvpG7rGfHv981pvuDP43HPPc/To0dcFSj5+/DjPPfccP/VTP8U3SoJ74YUXWVhYbEfDX98QcvjwYZ5++ktsbW2xf//+b/6X+CrLGM1P/MSP84EP/Cfuuutu7r//5F6hd2fqx0svvcQf/dEf87M/+7++7qDsb7SapmE3Ruv1LK0NTdO8Ztte71q7sc7ZM+fodOdI03wvLF60qBhrY0fumWdeZDqtuOee43vmkAuvXuTG2k0mkyrmgUpJliWsrq5w7PhRer0CEFy8eIXnnn8JrQ2zszOtPuV2yLy1lrquuXjhGqPhmLc/+jBJktA0lqtXrnPh4qv0d9bZ2V5juz9gfn4fw+GQbrfH3NzsXsi9IF5kq7puk1cU3nvSFHa2L+DsiCQtSNIUKRKED5T1GC9qtnfWEKTMFIdpaot3nryNyorjxVYLWdWMx+OYczupmU42mCQTynrQYjYMoCldjSRFCIl1nlfPv8ro1jV8E2KigrV854MPMHWOUVnTt46KClCxu1LW2OBx/rVdNlqZWaoNt67diEkoJo5rYyqMaHVF8fOl2ni62W4HpSS+P6CUUdQf8b1xlOuCYGdrg61uwYJMUdoglUZpxfLCMt1OQZamsXvWakojmsUyGPSZVBVSSaqqobEWsxfb5rBNw94Hfo9v5/bi1hpnqZuGuq558cUXCN7RKTok5naBHwsMKJqccjxhc2ODmf0HollASqbNgKF/ETV3lXzuJp3ZedJUYVKBTiRJlqJVDlikDFhqlAt0u44iCYwJBOEQAaSPBZH0NZObT6PqL3Jk1tHJ03hMSXBWMFsOKPrP00z2My4btoclTiRYG28KoptYUJaW4RAuvZwiqoMxV7rxCGPv+CQGkjTFpIrtyU3kKgzWSm6UU9JMk3UlUmYga5CapCjITUaT1gx3NlhODn1FvqsMUbOngmcmKzh0+ATn6meROpAYiUNQlhVHZw9xZPYQJpj2NBsgtABjASIE5mZ63Ny5RT+5jlQJrq6BOE720uN9e64KMYXEeoerpjAZsiQD+3o9xlXN9XGJXJhFJymSwNbGBkXRQac5whiUMUgtMVIw6e/Q396MSTppFmUPUgKyBbR76jSnyTJemfRx1Nw3lyOVIE0Sut1OhItPxjhX0pktEHMghGQlLFA3U4aDMSEIOqoDoiH43dFqINhAYxXTSxWseZb8InknRcmGEBI6fj/TqyPc2CGPQCOiDlnKeC6Ozl7HeFyyc2sbISSdfR2UihKBxOU0VcP2zSF+IdCdLwioqD9ux7+iMcz2Zrl1Y5tO3iUxGdLGDGfhdhmxHm9VS+Z0xCl9BO83rsG6iqqesgvz3w0K2M1bD85ja8e0BXfaxuFsPPfgBcILrr26w8zKG5EhfXv9c1vfdDG4q2HY3Nzinnvu/sYPAHq9HteuXeNXfuVXv07B4oGYKLK8vPw1fua1K2kBwtvbO9+yYhCiU/onf/In+cAHPsC73/0uvuM7nmBubhaI8XR/9Vef4amn/pIf/dEf4cEH38rueOzv2h3s9XpRUzKZvi4X9mAw4I1G4Vy/vkan0yMvuqRpukeypx1dOGdamKni7NlzzM3PYq3lS196jrK0ZGlBns3sZTJa13DxwnWuXr3BA2+OGZTPPvs8SVpQFN22uGpHOOwyFCOKQwjBxuYOZ8+c4/jxYzzzzLNsbfWpp5ucuv9url9X3FzfoSqnrOxbZWlxKYbcG7PHlwwhkFtHWdUMh0Mgjq7vOfUmVpZX+cxnPsVkPMSYWOAt79vPo4++k7/+q8/SH9Q0dkq36DA7M0OaJujWgBGI25mmjomeMhwOopM1wENvfQs7gzHPP/slvK0JHqZO4xdPQRDIAFVZomYz0m6OVtBDsLgwFwu/umY4bbgxLlmfNozrKY1viG7t2/mxoQV7++CZn5tjOhjtafMUYg+rtHfSF+BCTOwomwZliTm74Y7eT4j7TCuJEgJX18g0dgDSLGN5eYnZbpc8SW/z8FpHoQ8e4z1GW6TWLC4uUtc107rCaP2amxnv/d7dn/fRxNI0TUyIqaOre3NzkyLN6HS6mESj1e3n2D3faKNIlEbIyR1HscenN8hXz2DVAGEcSqVtISmRSiNlhpAF4FDSR+QIKUqVKBNNRN7HQhXvEE5Qja9SlF9kZcXS6yrSVOwdp9YqkrQhUZ5QX2Uo7uPmMKNuNugVFUkk9dI0MBxV8GcrAAAgAElEQVQ5rp9XbL56PwvdN7HdrFE1Q2he+9lOEs3S0iL1KyXbN9aRac3CkTk6sx2SVCK0wAeDrwPVeMwwgFQ5UztiYd9cqy0Ot2+bRUwcn1Ly6fMf5embH6W3pDBJ6+wOcXx9eXSGP37h/+VH3/y/sZIdRO7KItpnkiKwf/8Bnrv4AlZMsBVUkzFJUAQfYi5umxpDCAQXYldsMqLTNGRCcXk6YiwUjXO4nQ1EP0EER2hqdJHFyEYTTWCJTvDVlJ2tWAjqvINqs65lm/UbPwuBVDUgorf50niHubLmaBaLpeiiD+z6dNIiQc25aHwBEqtoKs94PMUFT2+uizMhOmeB0FgG5ywzNwvm8g5ptxelA8Q0H+tzbNVjZ3tI3/dJjwV8Gm+Kg4DgYDIYs73Zp8gL0s7/z96bxVqWnud5zz+taU9nPjVXdXX1RFISW6QkRhIpyQgUKBJlCEZi2fGdHSs2YANxIF3EFw6cS104Fw6gGEZu4iAXtmLJcSw7oiBLpihSnJrsuau7hq7h1Jn2cPawpn/Ixb/OqWpSoiiSoimZP3BQhTq79rj2Wt//fe/7vCk6iaYpGQQuGGybUJWW2fEMZx2DjR5Sufj98gFZCdIsx4djluUJiU6RQkfJSAARNEHKbhJDN/KOMHHnmi5ZpmRZnhCNOA7nHdqHs+69dRYqgdOnnEJi7KKPes3gLHt35zz3AztI/V3N4J/39Q1Bp0PwJInGWstpNsHXWtZaer0eP/dzP8cpqPirV1S6fu5zn+fevftf13MJIWCtO9MtfasAkNHV+xNcuHCeX/3V/5tPfOK3zvKD5/M5Fy9e4G/9rV/g/e9//9d4PX+yFUIgSQwvvPAcd+7cZnNzi8f8ia9eTdOwt7fHxz/+M3/Ma3+yuxrvz7aB+bwiy3vRKZp0UW0yam2893jtzrR41lo+97kvUTcNWhlGo7U4VpbqbPzgnKXNGsqy5POff7lDipjII0xTjEnQSj/RGQw4F40JgYiaufn2Hd659S5KaYbDEXuTO/zG//OrRHRbxsbGNhvrG/SKgqxj850aF+Kx0Jl5gOlshiDw7q3XuHvrZZQwrK3tRME2LauTMZ/53X/LwaM5SW+XLEsZDgYURd6NFvXZe+qsw5y9H57JdIx3LV/6/CdpWk+W5qh8BMGT+SiS98FhpOD8zjbDUYHSKUJ16IeuELPOodOSyXJFeXTIeFHhhIBT00SSopI0jn1si3CWG9cvc/TKTXwAGRwg6ZuMlfXRwegCTkeBf1PXTDutnutwIt63+BAjBIO3FEXK9rld0iyPXQHnMAKG/T5Fmp0dG0qpaPjounXW+7NuoQ+Bo8mY+apES9UZJWIxqoSKulJCfFznaFtLWTWUVQNCkKSaXpGTJrEDp88ith6D14WMRWsArFQE6wnBsr57Qika5tMALgrqfReL6J0j+Aa6x4+v2UGooxbTLfGNxVlPaxzKOWha2skXuL7b0i9i9FuSCozWCATWepQSQMvORouvwA0+yt70NseH7yLFnOA9qyrj4JGkfXuH3ew6QjasbQkOD6eUZXQEnAJcEPD888/xic9kCC/ZvLzJcCsjKTQqie+fFx5vLSYxzKYl7cxhMDx17aknvvuxxRMNB54v3f8kXzj8bfRmwPQM2uiYxoLCW5DacnRym/9w89/w0y/8PJkexgSYTnwYhGBjc52t0Tp3FgnzyZTFYUIxdGeFmlCqIxB4XOtQTUXPV9R1wx2ZovqbqCQj0V02fIjmrVQpqrpBpRZDjjQaLeHgYB+lNSbNUSZBn25EOmIAxA6kkwKPR+OxNufN6Qk7wxxTt8xZQYhuZe8DJjUkuT/bNBof0MYjlWQxmyMEZEUST5Ne0z6sMAcJm71NiixHp1HT+zjG0tPqFmkUYRaYvztDnncELQnS4yrB7PiErCjIBzkm02j9OL1Je48yDqEViMB0eoJQgizVOAlYUAdAG40fx4sHGGNAxM6i8Abvk0hREK7b3HVZ6d5H+HdTctKMmbKHrnr0ij7O5ThpYs68DfgAVgWkF910RRCcj9gvZ/E2cPRwweqkob+R8K24zn13feeub2hMLKXk6tWrPHz4kKtXn+KMU/JHrP39fa5fv84P/MCH+Eptwuk6HYklScI//sf/69dV3E2nU5LEsLX1R8Ohv9ElhOD555/n7//9/5Hj42MODg4B2NnZ/pow6m/m8UII/PRP/zS//Mu/zJUr19jZ2cL7P/x9+PKXv8zOzjYf+MAH/rh7fuLvAZDMFyc0TUte9M6C4k9/TotB66KBwRhDmuYcHx+cmSvyPEdr87gYDAHnO6acVFRVyXg8Pctj1lp3KBLTdTEiy1BYCGi8NyRJynK55Ph4zFNPPUWa5wzWznPX3aEsJxS9nNFgjbxLJTDGYIx6zPY6y3e1pGlKlmWslpLFSjFav8KgP8IkKUIqghW4dsFycUjlVqRK0i/6ZHlOkiTdc33cnXLKIdq4Y87znLJKGQfFqs5ZW7uMyYu4cxaCOnjYa6CxDIYZWxsbZHkE8wrVjXGJubfHR8f83hdf4f6jI5xMEDqNfLvg8daxLE/wAvI0QVjLxa11zu1sUa3v8+jWHsFH1uFOf8j+5BDrLSIIVO1YzE6YtpHhKLoLuzEpOjUgFd5ZQtNw6eo51tbWUD5gq5KmLmOCiTFn78NpZ1A+KZdwMQmWAHma0S96LKqK6aokIMhCwBgXcR/EzpXrwLhVaynrhv5wjZPpEUUSx/1ad7w3pVFPdAaljGBcETwu0VjrqKsqGlNkH5Fs0XJM8EsWZc1GneLbgNUNjYpRYBC1XLVz2FZgK4nTKcuTFUnTIyiDlRLflvTCMXkOxkgSI0hNikki0UCqkhAciQ1kuUUuD3DO4HrfyzS5QVMv8OWKZeuZNhNy2SI23qS/PSUbLBgsBLfeyGP2bteLE0Kwvj7iB3/ow/zu/i3ykcFkCp1qTBoNEjaAbRtUcPR6mnJhuP7UddY31p74hp9+PoLDySG//+a/IWzNMXkPlRiCD9gmdsyUVugcjHO8vfdFvvT2s3zkuZ+I/UXxeBOqtOcD73s/r770SYoiFh7VwQH9PMcnCdKkBCnQOrCjFWup5vZRTZP1SQZ9VJIijAaputI3oL3BW4NtKpbLBTpNMUmCc5bVakUx6iONQakOuaQ1pusWhxA6TV2MnhNaI5OUVVkyWZYkRUA6j6CLeHSOVErSJIkkAe+7c6qNUZtFxsnJEtsIlPD4usLdD1zNL1IkPZIkOm61ioB94AzphYCRG7CaLFmampBHvNRyscAkhrxISTKDNqrbuKqzc5WQNm5SnMe1KSePZrSjIUJ6ZAXZox6+bvDWMbcTwspzPnhkWMOZAqMtyhqk1F32uI9GFmup25JZO6HJTnBhSTMJVPWKxBRIoboNgUB3mCcnFYKACG10zgdP41taX1G3Fe++84j3rV/9bi3453x9w5rBj370o/zyL/8yzz//PgaD/h95u6qqeOedd/jrf/2vA3+0XvC0GHruuefo9/vcunWLp5/+o8fQIQRee+01vu/7ohPuWxkL85WF6NbWFltbW1/1uz8sceWbWUIInnnmGf7iX/yL/Nqv/Ss+/OEPcfXqlffcpmkaXnrpJY6Pj/nFX/xFjNF/gtce3+OD/UPUEwVgNGIkpGmKQNI0NbThLDdVa02aZihlyLKcJEnPisHTE7T3DutOC71AmqbdfeszY0OSGJIkQUp5pnV8/BjqzASklI5JCTi8TFHJJsVgjbSI7jf9xO2fvL+2bfEejDGxc2gGbF3YxqQ66tPKOdKDUAqjE/qbFymWDVnRJ08yjHpc/Jx2xE6NDyHUGB9/l6UFWW+L0e4OxiQ0TYOvPSFogpbYqkS1lu999ga9fo5W0dGK7ORzKO4+fMS//I1PsMRgihGJSZFKn2kDg/MkiaNtK8rVgkJrfuonPgq+Zrg1RBSKxlisKjm/O+D27BHLakFVS+oqjmuVjoiZ2ImM0WKrxQlSCHRiUL7lgy88zyDNkHVNVZfMp+PoHE6T92wSTHec0LkdT0fGIQQSo8mzFJkVBKU4nozJ6posNaRPgK+dddTWEnTC7tVrzMZj0iQl1SaO4XTMWTU6dmalEJ3D2HWIDIX2BuVaFtMJvcGQo/oy+y6jXWsR9T73Dh+xNmxJUgdS4EJLvAbbmApRGZarimm7zbVn/3MefeEm1XIZu44yINs5W6qK6A0lkSoej1JGsL1SEbKuFCgpMaFi1ZRYmRF8gQ+KEDQ+TNF2ycWnH/D0CzW9oUerBCHh4jMKoWogPyuQhIDrN67whTZF5x6VSEySkGURht14RyVPYkc2k6Q9ze65bcR79uHxPGBtw//3+59grsfkicIuWha3amRtECHHC2jNimTTkw8kZbHkM298iuub72drexvVwdrjkozWBww3CxJb0tvYhlXFuoZzeUqeGJIko28SpHR8+d59VlkfuTZCpimqA3iLTo/MqWZNa4SSBCGYTcZkacpytYpcPhU3lRG7pEi0oZekpMbQOsuqjaxCp0B4DUmCT1P25wvWtEJKj+gcuM5ZVOd6l0qcwe6j6zdSDRQr7t++h25S5EnOteI8hckxJjqXjTakOkUZfeY8Pr1eZSZlsBowudMwUxNqM8UUht0Lg1hEmnjei5udpPt82jMzjE8iN3FxtOT4zkMSP2C93mTD9Dn2U7a3tpkeHjARD6kXJefsdXrZiMzkGJmgRCwGLTbmLrcrSrlAbpaoUJKuhlijmJ5MMDo90xQ77/HKdXgnHY8JSpbtMfPmiNIt8KHGWcErb4554cNXv1sL/jlf33Ax+Mwzz/CDP/hD/N7v/R4f+9iPdikg711N0/KpT32KZ599lhdffPGPLVqEEKRpyl/9q3+FX/mV/41er/+HMvRCCLz++utMJhP+7t/9u9/SQvD0eTz55x/2uz/q99+Kx/6pn/ov6feH/Oqv/gteffUVdnZ2MMawXC7Z29vj2rVr/NIv/RIXL178+p7D2aQ4nsD2D47OxnCnhhWlVIdqUThvEfYxhuDJn9Pi0Wh9NsIJwdM2lkBAa31W4Anx3seIRpMMpdRZJ+/09/B4jCJEBPiuDTZZXxtxNN4n0QVSZN0FQkT4sdZdl1KzWq06UGt0/54WlfWqwrWaNFVoHS+9ToD3Le3cEZpAspaCEmcQ2IivMPR6vdh96l6PFO3Ze6WkoF5VYGJ6gEwg0NAIRVnO2c6GrFuJqFv02qDTZMbXdjg+4d984t9TB03aG6CTFKEjEkaIeCUOIRCcAy0QCqRzHB0dsTi+h60azt24iE4UQgrW8PxAkfA7X3iZVmh6eQ+RpkipEVKcaQS1szhraMoV7mTOlc0NVNXgnUcjWEynTA4eUXS4HiGjg1l3vMDTYr2uqjM3sJDRaayVZHyyYO3cBa5ubTMfj1kt5jTOEXBnn8fG+XP019Y5WS44Ho/Z6uUd/6y7H6m6bnTcTDRNA1WFVw7v48hUC1icHDOb9gn9jGxzkzQ4RL3Dst7mnePXEXrFukuilktFGYt1jmVZs7/IsIPvIx9d5vs/OORzf/BZkCsyAsq3tEp0HfLQoTo8IXSbl9B9Pj6y/yyWxjtcOB3BR91n23i2t8c8/3TJxnr8bikdI896uUSIxyxCOi/vqlyCdNAdw/E4zCjMAOVrnF1gpSBIiVctZbM48wA/uR4+eMhsdoTaMtQPJNn8HLviMrkYoUWGD466mTE/2WeVHyBHY2ywvPbaW3z0oxsR7RJOdyXQupIyTCEz5OsDQm+d5apkr6m4lCoyIoT64cmMvRrM1iAafIzpOnxxM3i6eXCO2JkDTIjRbcvZtJN5KJAKTr/DQpBoTZFljHo9VlWNdQuabnR+yqkUSrOqVrS2RRI7gz54nG8RwpDnGUkaN26r1TKeKxQorUkSQ54ZynEgGQ/IhwXSACZ0DNAkblqKLKYmlVU0X3S8vlRnDO0GTgF6hdZZp7eW8XykBMYYiqIPCMpy0Uk14rlMaoXMFHoFPb3OcH6OtCdpBzOqekGagMoHJD3P0fIOkyojr/ukKsOIJMYmOrAuIKXHFAI3lzibk/k+FDERZzobEzrNYJJmtN6QiIQgKxbhiKPmXRqzQPUc6JjiIq3msNpnVa3o5V99jf/u+trrVL50Kjt6MljjOy3X+BsuBqWU/LW/9t/wT//p/84nPvFbvPDCC1y4cBGtNc45Dg72eeWVV7l06QJ/42/8jbMuy9dTEH74wx/mL/2lI37t136dK1eu8PTTT3eGisBsNuONN95ksZjzd/7O3/m6zSbf+DrLjeLb1SeXUvDjP/4xXnzxg7z00kt84Qtf5JVXXuYnf/In+fmf/ys888wzGPN1fnRfca1YLVdMZ3P6vcHZBf30z7ZtkdKd/dvpz6lBJl6gIiBVaYUxsXsSOiaZ7wTMsTsIT75fp/cVu3ePESRfxaXzEfytJbhmTCKW6GA7fVw4+3ny+cX7eO9jxdo3anMkJavZCd5WhGARSpOYHJ0NMeY0Puux4+4rn/PjxzjtbEc/rpGeYI+YL6Y4W0EItGaASYasmpoH7zyi2p9w9YPPs315N4r3EXzxy69yvKgxg3VkkjweialTlEwsOryNrcSAoF0t+e1PfZaf/M++l8FggDIZQoNGYfGIcQnakKa9mECSaKRQcexMQISAdAqhFaGD8s6nS25+6S3G9x5y7fJ57t+5TbtaMOwNOtQKZ4X8aeENUQMc6jqmSHTFshACEeD46Aixe461nfOcu3Cly3ztTBWuxTrLfFUhUATvO8G8o3UeJT3o2HFL05Q0Tc+OmTPEjpBIEfBNxcP79+g/c51eMUQ4jzOeMr/EdCm5+egtdqoVW70lqYrj2KUNjJt12uRFjHqOVWPJejlPXb/OzXfexjtLoj3jYKhrj809rQVpW0I46Qwk0TVtbaBtBKu2T2sSrA2EFnwbjUGhPubSxYq1oSbPFWkaZRKIgDWqG8U+ccwCiUkRXkYm5ZnIv6GRK1pncQ6CF4gQjQjJH5KSdJrU88Pf8yO8OR4yPazYNU+TZwXGKJQA8Di3Q1VfZbw64qD6MoXvMz46oa08ujg1AMXnp6TCkKKER0pD2VbYYFkKwWzZomnJTEW1rAlZD5kkKPW4CDQqykSUUFEzKgOtiEGQyseuWVWV0dHblbdnesrTb3zw0SQhPO+Bdgc6Q0XsPDdti8IhunOE9S2xo6vPcpnfuwkNSCHpjYaIssbNS2IqZ1dk0m1qtSBJu+i3uuH0LBDvB5wqEf2202V2b5184piVGqO7zVTdjQjijbr7kZ38xdHMZwQ5JN/QlG1DT2lmYwgSNi5nSDSurfCuxTYp1Vyi2pQs6ZOaAiU10oEXAWsslpbEWFarOdP5GOsthe9hdEqtKxbhgJl4Fz3yMTHIZAgSkHGkjnOMxxN6F79bDH4j68033+S1117jQx/6EJcvX476T/7kBJA/7fUNF4MAeV7wt//2f8enPvX7/Lt/9+946aWXoiEgBDY3N/j4xz/OX/gLP36GPvh6x6qxO/ZT3Lhxg3/9r/81v/Vbn+D0vyZJwg/90A/yMz/zM2xubnyb3sxv7wd2+ppGoyEf+9jH2N7e5u7du/zlv/xfv+d2X9f7eTZGihefvUf7rJZLsrR4DxOubSJeAcGZ1ubMdWbjRb9X9M9OoMvlHO8T+v2Cto1xX6cGgyRJmM/nWGufQIk4pDh9DIF3jx8j3sZ241jf6QBjEWRSy9aaAzvD+TLqs1w0X9jWslqWCHk6TrT4jiFonaVZHtCUE4SGLBuRFDtxJBIq2qZkNXmAaEvqRtH40dnzsc5F4LGLoNcI0/V4Gw1Lzq4QzRGLcY1OE0w6xGRbgER6i8kK5mXNYdOy3eS8+emXkUpy4dolxvM5L79+E5UViOQ0LSSOdLXWaKkJBGywWOG6YhBCYpktZ6zawIXNIRiNVwrjJZPFgs+/+iY+yUizAm00JBrdgWWBmA0sRey4AE1PMJnNWJYt69OGe9WdeLg4x2les+hmhT7E97Oqa5bLJfv7+5zMZrEo7I5BFzwyeEa9HhvrGwyG62RJhtSiM5AInI8ooXIxZ3J4gOg0YnVVRtMMEqMlg9GQ3d1zDAb9s2LzPUkMAYL3pEkswpx3MctbeDIngaeYrYaMb3+J7d49ttci2LrxBW1yEZvuEFpHoEQSGG6uc0M/z8N795jNJ5QVTCaeLLVI1ZmTVHR5e++o65ayapjOBAt7nroVeFfh2pq6qqkWC/rmAee2G7JMkWaGJMlJdBady/YrziedYePc5nmymyOa+gibCmTbUJZzXF3RioBtLNY6Qt2Q+E121s6fjZkjwBvK5ZzhoM9TT11hc3+Lt9wdEpFhTBo7UJ2swwWPyaIcIF0mNLYmCMtisSAr1jk95wkRyM2A8/2neePeS0wePkClPUwWcUqiK6zKAD7pIeuKuqmRWY4RCi01aZJQpAmpSWiblmXTdN1Wj1cKpQ1tVeFPu/BdVGV0n0ed6aIuqV38HjZti+tydAkB4TzBteBamqpECIUMsaPbupqqSanrGuct1rY4Z88c+sF37D4tWL80YOUrGl+Di4akoMBbT9M2LBbLeN7qoNDBe0Ln0vXDFXKrJnMpdVXFY7bTJ7ouqnO5WiCEoG1PmZzhDCiNC+SDHiqtEXZGqPtk+QCZROOPSCSHB3NEWzNYi529sDI0C+iLDQb9dTKjQeWgFQqP8N15xHkaW6KkwraWuq6oViuMMdTFkraYkK9LTNYjMRlahbiRlD6arpzm0cEhly5e/Mo9zJ94CcEZUuw/hRVCnKLev/+Af/gP/2cuXbrERz7yET7ykY98G+uXr299U8WgEKC15mMf+xE++tEf5dGjff7BP/if+MVf/B+4ceNGd5tvbKwqBDz77DP8vb/331NVFf/oH/0vPPfcc/zsz378DHPx7Vn/cT+sr/Uyv+73oJsThiB46623Wa2WDAYjrH0SKRN1JOIJDIG19uyL65xHa4P3gfH4mNu33ubHf+JHOXduk9l0wcHBlBAitiLPc/b3H9E09RmvTwpJi+jArOJMe2NtRI1Y21KWJabjxwUvyHo7rG8/S53uUy4PqJdH9LICZwJWxRO098STlovCcutaWtsyn+0xnz2iP9ykt3aJvBh1OrqoHwxNQ7WYoZf3aVZ7+MU6TidYJVEC2gBWWUIQZ8WstZ7WVizm91HS0hueJx+cQ6d5HEF7QR2AdoH0cFQtEZs75FZw8wtvsLO9zfHxhJOyQQ67kbeQKClJtCJLDKkxiBAoW0HpA8JpnPRIrfEq4WBe8ty1HlrF6DcnA3ff2eOkst19KrSUBK0xHZJDEovvRgpaGVMGtHaUecL+4oSrm1sMC4PIA3vjfawPtFgSl+BULNaXqxV37t5lPJ6ilSJNDEVRPHZcO4dpWmxdEpqafpFjkgylz+iHWO9JtGZ5fMDJ0SOGvYI0STDq8QjFBsd4MmEynXJuZ5fRaNS5oF33Ez/r1nk2NzZYKMH+8RGbG5ukgwEqaCo5plnc4fzGkivbPQZ5jCp0AZbN20zqMZX/IC2Xo4nDSZIs4cLVK9QTTzj27B85hsPn8b6hzo9ITBk1jFZQ157JieTO0Yiq2I2bmMbHEeRyhZu/xe65BxSyh5RRegGCo8MFk8mMsvW8+MEnPf4BgWQt2eHGxgd5afabqEQgZIRtO2JMmLeOuvK4heD5/gcZpec52+2F+C5Lo6mbriitLGlSYFSGShVCOjwNQkjSYDA1aAp82GDWnFC3ZRyrng2fY49OyYT37bzI77z0FmnRI8nXkCaJx1aHU5EEcAnOGJq6plzMyLI0jvWlpJ9lDIqc+aKktrYzI3Udsq4bLhQ0VU3RWoRxOKUR3tPYluA9jYxpHG1nIPHeElyL9R7bNPi6ZiGJeb4E2uBYtiWbVY+6KmnaSMKw1sbNpHOd+9wxWu9jVIK0kuXdBY1dJ3WW1lvwAmrw7Qrfoaaa0Hbnm0DpV5gdhdnsIZzg4d4BrvH4Nnar40a3euL82nZFqcNbh2strW/Z3dxApKClonq3RCfrkfcnBAw9thGsDi2zssIkAVUqNtPzDLLNGM2pdGQZyse4LeMD3jcYbZBCU7NgOFhDq4Tj5R4LDhgMDWmSkRiNSiT6FCMlBKqbGj06PsSHgOo2Hd/IZTEE+MhHPsKv//q/4ld+5Z/8ye/gz/jyPnD79h1u377DP//n/4Kf+Ikf5+d//i9/XRi5b8f6porB0xW5suKMk3eKYflWFGwhhA5/ksbIrG8R4Pk/vRUFy3fvvstqVdHvD9HavOdirpTq9GqxAGjahqqKcW2RuRc7ePfuvcv+/iPGx2MGgz6L5TLujrsuX5alCCGYz0/OHiN06IPTQv6sI9m21F3HaTqNDuTYEbBkOme0tkWdFchJTnlyj4XJETIlkIBXOOkJyhGswDtBZVecTA95+PB1ev0LbOxcI80HtM5x6alrbO1sc/DogPHBIVmaoIseJ0dvczS+hchTvJY4ITDOxdQNBN4KrK8o25r55D7lasJo82n6ox3ybBDH5TJ20gwCs1+hlGYVGpbes5EUtIsZ9966w4wKD9Fle6rFlDEnNE8Ttvp9nLUcrlbUzsV8UyEBjRMJy/kSlWqE1igUBs+tO3s4behJwVZfs93rc1TVBK1JsgxFNNiIuo4aMO0RIY4tZ3bOylnOp0OGazl333qNpmlJEokVFuEEy+WS23fvADAcDMnSU6zP401ZhHw7Ktuy/+5tMq25+szziCRFCAXBo13Dvft73H37TXqJIuv1Y4EuH3+nnXfYNKGpah4+fMhisWBjYwPrug6yjcV+6wIb27sgBZl3HI8P2TIG6VoObn2a77t6wNULmmGRdCk1MSN4ZBtG5T4Pp5/iqPwBrLxMCIrgS7AL1s3b7F4Gk/8YV6/9OG0159HBJ0C9gxQVrvHM5xW3DjLm+gahSfCrFbZtaJcz/PItrm+PubCmo4FFQFk59h7eRePo86sAACAASURBVISUtAj0k3XgDwHLO0ky3aC8kxNkTbBgUgkapJf4xlEvBXJ/i43zV9CtQmjwwoMPNK1DCcMrr7xOVVWMBtsU/T5lMuX28vOM3T0aSiSSIbtc7X2QUXaZ1Kf08ozjyQJtkjh6BUI3BRBBkLt11tprpLlEpRnS6Kj17JypIQSC7pJtpKIqVyxOZqxvJYQQ0zGq1tF6jzslYp6ZlgOEQIJm1VjaskXoFoQiikMCXrqz80iUUHiCdfi2xTYrVnXFI6E5aSE3Aa9ApCP665dx/Qgnl9E3gnMxZcTVnqpsMElCb1AgpCS9mHD0aMqyLilUhpUVXlrwPkbbBRWPUVdTN5ZV3VCmFfluhsgD4Fkv+6yWS0yqQcsYgelAqljcex+dzrZxtLWjXFYUw4L+Wh7PB0ozn5QMjQIvCEGSeMdwaNnWl3h09xg3bdndvMQg3SRNC4xJMLIzeckYJyg41b0ahGoQMkoxFsuK4aig1RXZQDIaDrl88Tx127AoK1SnCxedgcs5x6osWa5WDIre12xQfM0rkICf/dmP82M/9jHquuY/dqPlT389nty9/PIr/LN/9n8yGPR58cUX+dEf/RFu3LhxNjL+TljfkmLw8cFxOgMX37LO3WMzx1f/23fX17viQblalfR6A46PJxweHnYjI4dzWdeRU4DkcTpIzWIx5/j4mOFwRNNYlHJkWY61nt/5nU9y5fYlrl69hkl62DYy5Ky1DAYD9vf3u+I97r61Nu/BK3jvu0JwztHRIc5ZsiyjbRukAq0k/WSAlhD8eVw9Y3ayjzQ9nB/gUoOSBkQ3UmoDq6bkwf13kCRsbF2mKIYcT8asyooPfuj7Ga1vUlc1q9kJTgiE0PjRFcaHbzM/2keQYC0kSqAleCTOeRrbsFhOOJkc0i926Y12KPI+eZrGLp0SHZajG5dLRSMVlXdo1SNXKcd7+7iNU91N50iX8e/Cx6gqJ6LBBURHjWtJVIPuQ6/XYz0JHDx4l8Qk9HVOpiXL40MSCi4P1vivPvI9XFpb5w/eecBn9w4oegVKG2Yncxrbxgtip2WSUlEJKJsYw5XnPUabW6ymJyRGIWSDw3P79m200qytjSjyvHNG6jOzzammUmuHagVKBO7fvsloY5Odq9ejZio4DvcecefNV+knmiJLIuqmu5+zC733aOdQnflodjIDKcjzAttGKcGqahhtbJJlKaEpyYocGQLj/QOWR+9wdXTM1V3JWpGQ9zrntDDI4KidRkjPRVvRzF7mmBGNGIDz6PIOo3SPe+/u88zzI5J0iAiSulKMJ4+Q+M7UkTDoZexPHW4xpWka6nZGYmf0M4HrXeWtqSOvFBfXSwwH9DJDb2Awmaap+oRwitgKZ8fDZz/7RV765E0ku5z4PeoLS0zR4pRAe4VvBOvuGa7nH2H80PJq9ibvf/ZZJosZX3rpJU7mC4wwTKbzOJZOMh6FW7xz8rvQnxB6AaNSCA2LesYrJ4/YCc9xJfkQSZqTJjnGJJzyCuk6hMdHE1793NuMzAVUMkUmBqUj8F2pWHS4U5ixiKzS1HvKckVTVWitmZclZVNHraW1sSDrRqnBdd264JFGslxOEElnYCHBB42Xp0K8zo3sLK5taJqaqiwZJAmj3JBUK4ZGIxONSgxeC8rVCU1VI6UAL+LoubWUy5q2bdk9t0uSqdioNILRcwMOXtknEyk9cowPhDSeu7ytcb7Ftpayqpg1U7IbGj2QoAWmzSg21nh7cZPVvCTIWOhqHbos82hK8tbTVi2rxYqmabhy4wpJpmN+sxH0nuqhjxRYgdcB4TNUVnN8sEe1EuyunaNIR6QmJ9GR4aplEh3wHUuSIHCqIeSWc9uaxYnm6GFG4gJHs4fM3AFr24H3Pfcc73v2BieLJV9+43Ua584SqU4nQ23TcDSZMCh639SVSAjB2traN3Uff9bWzZs3uXnzLf7m3/xv+cAHPsBg0P+OrGG+JcXgt7PC/058E7/zV3zPZrM5g34frTXHx0dEIfk2RdE7G+eCjIL+tqHqXKN1XUUNVZajpGJra4vyymWOjg7P8pQHA0AomjqCp5sm/v8HDx5graXf73dImtNiMBoDqqrk6OiA4+NjBoMhVVVGiLgM9JQkNRJEjs0dZe8ci6N3ODh4yHC0S15kaJmCDATfUtcts+mU6XTMxQvPkeV90kSzms84ms549959PILFdE6SCFphCMFRFD1a1WN2tIcLmmywTZ4Y4nVN4mzDqqyZTu6hfSAvzpOnGZlRJFo8dlV3BQ1PdD4EnZNaa+qyoqeHiO4iKDxIF/Aq0ASLbVYUbRzxzGxJGhrWc8Vuf521PCc3AkyKa6G6f4f5734S/fAh1xqPv/4Btq7ucnW9z9agz8WNPi89OuxIdl06yRMeqCdQcuADJ9NjquUDrl69wqvHX2JVVgSpODk8pq5r1rZHpMkp39HEpJGOPXja7VBSnsn/nQ3cfecmF596Cp0kYGtuvvoKKnjyNO84hgb1FcVg8NGleTY2dpbxeMzWlsa1DcuypHaOaxcucPedN1n2csz2DqL1NLVF+hlXdjxZkWKKgElTTJqRKPBBEFpBoIFGsV5NOJ49oJEXEb4ibfcY9AN3m5Y7dz5Nng5Ik4qnnlI8/fTT2LbEB8mqbAh7lukbd1hWA7xwDDYy0rXz+LTHXpmgAoi6ZjV/k++5XjDqKWTa4+5hxtvv9Lh8KUGfFYOC2XTOpz/9WcqmRaSOVIFOItJJaAjBYRGoGlKtSOqU+7/525T//jM82iywqaafZjSiy8pOHFPxLjeb38Zuj+nnGTKJSJwQFC4XVNmCvaMvopuCXfM8WmnquoRBBt1w3/vAG6+/ResdaS9BzqL0QGmJ0YZEaaSE1jlaG7ABvI7GEN1IyuUKnab4EPE5wUftqPOW4C3BObyNjvFetULJwKxc4iSIIAkBpLUEqR53BLwjtB7XNrjFlI1qyRUj2LINA+VJbBuNbPMpk7GnGBratSJugjqIfl3XNE3DxtY6Wc+gk+i8DyEwuqyolzUP7txnM2yRixHPXb9Bsd7n4a07LPZXlE3J2B2hL4I5n6FSjWl7XM1foNcbIOqc1x9+Ec+CYIuo2VRdMeii/rOqKlbVinPnd+n1M6Qy8fvqPWJdoGcS7+koBAqUImRLTK8gz4toyjHRoKO6EbHuSAtBaEKwTGYHXH5/wnMfuMTqpObzv/cmlZiCnCCqEkjJkoQsyWjSNuZ4C9klPCUslosok5GSw8Mjnrp06U/3UvXncJ0/f55f+IVfONs4P65hvkkB5rd4fYuKwe+uPwvr4cM9jo6PaW2D9z6iShYLBoMBRdE/a1lbazHGsLa2Fjsy1nLr1jtoLfHekucJxkiuXDlPmqWsVieMpxPWRlu0bct4fMTJyQkXLpzj8PCQu3dvMxgM6PUGZ3gSay1lWXJyckJdlwyHQ5LEcHh4RAgwcAN6wxyRSGRQGJ2SZn2MUjx8dMDRuKLopWRJ2smOBLNVRTndx2hFPljDdEkiFy5e5OBkzktf/jL37t2lUJrtc9skWqEQzF57g/Dlz5GUSyab+9ir1yl2NtlcX2cxWzKdjWOsnJ+yubWNznNMB8NVxmCS6HwluHhxoyuOvCc3Bi8cTgh8CJzb2SY1msY2XY5o7DbY1ZRndjf5+Pc8Q64lv/fGW9w5nnBhZ5MijwkISiuESFH1ksm//U3OvfoKo8RwofWMVp/l1QR+f2ed6+fP8clX32TcSlIkCEnTRn2UC93FpuvMSu/JtEF4y2x/H1xFOujx6OED1uqGo/Ex25ubXYqM+SpI+WPOpMcKcVp2kiaB6XTMYjpm69xFxrMpx4f7bPYLjE7QJjnTcKonsAs+ckeAKF1I0pSqrplMxhACk5M5a7vnmYyPGR/tUTz9DEEpSBXGpWxsr9HrTUiMw8icRKekJkfKhIBDMsdbR5nW5IkkNIfU7RqhWTFIKnqF4sZT53njzZt8enrARz/6PBtbBSKsU9eaVX1C00CWCNbXUnzVp98f0Bv2MWns0AhliHGEE7ZkoF9oGpXyyps9bh/sotM1whNj4hDgtddeR2tF6C8Rl48YXa/QgwSTmghDFhLbKprlfV47+i0uvabp/b9/wL3BJv7n/gtGm1dZ7w9pfIt0gePljIPVa/idCf1egs6TCGlX8fEifLql3Gx4+PAl+mEdRBbNFUJFNiVwfDTmeDwjGWkm0z2EjAB1LRV5ktBPM5SSLJuKVR1JATIoQoefauqapom6PtHJzYJzeOdxtsU1NU1VYYwmN30u5xm67vPOo31mZY0drqHyHKkMiC6BxFlc3eDqJeeqGe83sKEFWZKgFGifYKVDhJbCaiarhtnRIhrNgqN1LSYxbG5v0Bvk6ESRpRmJTqJRSpRsPbvOLF9w9/V7XMSwffUivX6PxXzO6++8Ri0XpBcSzPkcZRQqGNyR4Nr7niFJE6btIaUZc+/hbY4PJtGYYSJex7ax26YTxcVLFxms90iMwiQDlLY0VUMVPEEKgojRilq0cTOgFHnaI9U5WqUoZRBSoWQkPCgjO2OPonEN++M7XM9uoBKFyj3FTk3owdAOyMaOebPiyy+/TLVcUTYVy1VJmqVoqVBSxg59V7AcHh11krBv51Xrz/YKIdDr9c7+/hgr83gi8J2yvlsMfkev053Dk22cP/lu4hS98u67Dzg6mhA6fIv3gbKsKKsaIccYrcnyHjvb2+zunkNrTVkuca6l30sZ9HLaZsX+wT3W14YM1wZkWU7bOtx0ytHRHmlSMBz0oQO+Xr16lclkyng8ZjydIIWK6BQfX1OeF1y6dJUk0RwdHbK+vsHR0RFt3TDId8iTBCltNFoohTQJg76jrOY08wO88hit6Y/WUE0FrkbnfTZ2dzh/4TLVYo5bzDl/4QKD0RpJomlqy/0Hj7h2/hz13du43/wEl4NHIdib3mO/6PH8j/0w1556mgd3H/C5z/wm5zf7CC8JyqBOWYYysgm1UeR5zPWtq7q72DkyAr00Ae/BtshMsbm1xeVzm7z96AiX5Ni2pWkq6qN98vU+m7mh0Ir1vOA3bn6RZVPz4vNPUeQ9hFHoYBg/vIN8523WEsn2hSvMjva4vBzz0mrJ//E7n6VIwGVDzKCPm83i8dLBfL2IF2PrYk5wLwj6WUZwc6SznBwdM8wLpggeHR4gEJizXOnuAtGhZpI0xWgd3ZJtG0dw0uG6YiGVgtnJhGJtyHJ5QpEkKK3ARF2U7EDTSZeNHV3tTdSEeR/TJ2y8zfF4gnee3XPnGI6GPHq0h+i6kVZLgpXRLav7BKER6CikV54Ivc4R3iFY4oVBCI3G4pZTVif3EKslC6V5/WgdoXJG/QKhEm7fChgNly8avFORL+hdFPZLQ29jwKC/RpbkMTpOGYTUICzaSlLRoITklXd73Dy8QNLfJE3NmUtcAG3b8NZbtxjPj3C7ByRXStQwI80VJpEgoxtbaahVoPYHPHIHvGgaVj3DjChKcxJwmhBg2UxZqH2KTKO1iGkqWUpicryzIFf4YFFWUmUzjud7rPkrZCYHfCy8QmBv/xilJBP/gIP2bdrqKZK0iOxJKRkUOYnRuBNP3TpQAhyRGCA1wq3wXSwcskV0ucbeWVprkfWCC6ZlfW3Eoqm5M5uxUYxYO3+e5nCf+WFJ1RsgdBI7Y50EqZ/lXE4DNwTsmpi7nOgUoUB7jZIpbfDcty2TeYsZB5QX2P6CzSsD1tZGmFQTVETLGJ1T9DKqJrqW0S35uRQmnnuHd3l4tM9utc3NB7eZJMcURY+wymlupbi+p39OcfvdWzza3aPIC8bLQ3Qu2b10kfHBEZP7Fc2xQDmJ2KpZu1iwtb1N2tcIBUIbelmCMAW+PUFTUwUHPkD3hw8O4SBRJuJjRDS7RSaoQivZAfMzkiTgK8mFZ9YZTw54/bWKqqqw3jNaH0XDDYHqsGXVVLz6zhtkWZ80K7A2agRFU+LaBqwD7zmZL1iUK4Z58Z1Uw3xHrz+OVfydtL5bDP6ZWd942okQgqps2Njc4tKlmtnsiOeff5Y7d+51DCxJkqT0+336/SFKa5y1LOZz6nrF9aeu8b3f+z4uX77AZDLjN37j35KYJKZ4FGsslwuMUkzrFS9+//dw6eIljo/HHOwf8XBvn52dXc6fv0jT1JRlxC5orcmyqBmryhVr6yO0kRR5j+FwxJ07t1kbZAzzTULwZ69fek+WzMkygUk2UDqLTDFnGY0sq3JK1tvkmWdvsHvhEnsPH/KZL36BnZ1dhv0evV6f5XLGoSuZHB8z/sxnuWgtO+fORZPBwz2a5YpnbjzD5s55dJLw7p0NFrN3sU1Jqq5AiLrKyDrpRps2QnS9C4S2xdcV24MCoR1V1VBSsra5iUkVP/wDH+T2r/0G8/ERyiQkeU7S6/Ppl1/lhaev0csLfvfWbSoZWD3Y47Apmfd7bFw4x+jyNU5OVng0TVMyH+9jy4o5CT7LEGsbTJsFoaoQbUzLOB33OWcRUpJnBQ6HqxZsjfqoXOJLQV5kzJcnGAo2N9eZ3JrRy4suKzhqIU91gqepNb1eL+r4lktsG1M/kIJWS1CS8xcucm57h9QY3l5bQ7Y1KggSH49LpTVpmpLnOXUdtYu2yyKWiM6NGt24Tz/9NJsbG+wfHuLaln6vR5KkODSKBC0sFs3SpjQukFpF2wikWiFVGzmQrgHXIizUvka2x/TnJau9TUp3jWVWcv7ZNUab2xiZUDUn/P5/OOSzzQk/+COKfN1TW8ekCUgzYr0YYbICnaVIrdEqIKTEk5CQIL3i/pHm9qMt0t4WaV6QaBnZeN01oaoqxpMJtVhitixZX5KmscDJsgylDTY4rGzisd4LiBfWmH2+ZlQ3HN59l3JtPXIIQ8tiVdK0Feg2nuE71l+uevTSNVpbgbVY2Ua2cALLdsZ2oukPeo+7PwGm0xmVXfFw+Ra65yjLJWkeO/wuBJoOL+R9h3nx0BFfgIBwLU07R7kCBTgsLnhoWsxqyfMbBS+cv0xuDK1rubmf8/LxktYUtLuXEI0lUYos76PSlCTNSPOMUbvkwp19dhJJrgtMotGqcxIbOHSST53UTHTB08OcK+1FdJVya/UHCCNx0nUmtA614xvqRuIah3IN0kMQnv52xq13HvLr/+JfsjO4yMFyHzNUFMUWG/kWRhqWqyUn747pbSj+r9/+JxR5n91nR6SJIgiP6Wv6vSFr7bPIkHJUvEo6aJDSQhD4YPBO0DQWfI0LdZQF2LjvsN5jvcNZSbPUpBg4lVQSkUxSRA+4VII0lRT5/8/em8ZYdp73nb93Oftdaq/qpbqbbJJNkRRJyaJtzdhOYnmLB4YmgCOMFUyMzKcE4xiTD0ECf4iBGPCSZJwAMTJObEEwjEns8UQ2xED2WLIlWYpiiRJJkaKaZHPpraprr7uf7V3mw3uruulYtmILsWToAQrV6L5977nnnvue532e//P7O4ZlTd6JeOIdb+eFL73A/sEuy0sLFEVKKUSoVAqHIwId46TDuAZai5vDus3cmtT4gNTZOzige2HzBDz0Z74nfTO+/s7dN5PBr+sQ9/yWf+TvvtqYa5KGI5ra0Ot1eOLJK7zt4Yc4d/YNXn75VZwL1R+tFHVVYl344qdpzLueegcLC30GwwFxGpEXgS82m03JiwRvj7G2oalqFhdW6XS7pKmmKFIefewKFy9d4IUXv8x0UqJVRL/XC0c15/eZtubKlcs88NBl7mzv8MUXvkSWFjz04AN00vgeFqGhaWsqY4mSDbrdNZK8g1QaITQYx2R6yNZuTdXUTGcTyrJhOJ7QGhMWTyGDzZVXSC85nlYc1xXLWGblBC8EFZ5h2/DaGzdoLOxs3SbSKyz0CgbDLRpjaU2LtckpfudkOhrAOMF0OqATx1y5/yxxHqFchDIxJJJbt66TJzH9IseUhrgoUElKnhdMj4/4pf/v43QWlzDCc3+W8vjqMkUW4Zxlcv0mMi/orK1y68pDvPHSl1gcDhiJmBtnNpmKhGo8QaaaqEjRKpqLyZk7D1jMnPPnfMNGP+cdj1whiyKisUW2CU0TMRmPGY6Gp1zce2vS925J7oWWe+9xwqNcqMBoLyhHAw7fuEamYbR1h3o6JE4S8IJGeRL+a7B3yCH8STZx+lsQPIqbumEyGhNFEVmWhQqjN4ExV5eMS8nLW6vcPPQkiaVfSM6vxJxdbsmSai6Ib6krw2ws0ONzyO1NVjhD6WocNVnRIc8SFheXsH4BjOTWCzG//5vHvP3dXdTiIfvDApktoNOcJPLE8pjIOTTgZI7VfSQ502nOnZ0YF62TJoEZp/S9y67EO3AYfFTiOw1SS6TyyCgmTlKyaIHGz5j5Ec5YhG4oVyLGTzxI/01P++zzTPsrtOfOoLRgbX2D45sHOBewNLgY6x3WG1obBiCsDwzNuastbV1x8f7zyGi+1pycfmuYNlOaxTFKFsRxxHg0JE4TaiUZTKdIIWitwbQWb0/4fQ5jHaZ1yPGMWBkqJRAhu6FtG5bMhIeW11nrFMR5StXW3Ocs21ax5yNi69FtQ1VNqduGIksRwqOEJzvYoS8dmUxItERoj9bBe3zHwKcnM/aLFTJdENkpHZ0G3mGdQtUGzqQxWK3CYFU1DYgg52iNwzUSu5/itzLORmdJRYIwKYVYgXpGP16hXywSJxoxjCinM9YunqG/2Q0rrvYY0+KMQVSSqIrp6BThNdM6Q8ygzQzCg24iLDUTHzyTrXW0zmCbCmsU1gRsjpsZqOffZ9wcxh2IB96HSWdvBdZY2tqjydh+fUjefYPh0ZS6bCmzBhhhW0ddlcxmM1QmQAf8l8DgPBjjENjTKr2tFaay7Nza54EL53iLAPmb8ZcivpkM/inxF0kJ/6Ov/d9yLPc6ZngPB/tHTCdDLlw8zyNvu0IUSR5+24NsnFnn+pu3ODwMgwJCSLqdjDNnNti8cI6iSLHGMjhu2d3Z5fbNOxzsHxGnEU5okrTFmQbTtnQ7PW5e38bboA9aWVml2+2yuNjn5s0t7mzvMJuVcwxJxJmzZ7h0cZPllUWEEFy8dJ7JZMK1194gSzOkCtNsbdvSNC1VWSPjdXoLi0R63lZsDVI4pAYZ5wixyGRs+fQn/wsXLtzh1u2bjI4HLC0sMkkSatPS1BZbthRpSrO2yq3bt7GDCaDZLzroi5d59nOf4+rVL+Mqw/JKn05nGR3nHB4fU5Y1WR6jdYSUds4iDMlg60IFbW11ibPn1onkXCfiwNqW0WjKtRtbDGcVcdGfu4XESBXTO9dBSI/1YO7c4sL5FXpFRK/bwwF+OGS2fYfzjz3K9ne+m5tLC9ze3sGojPbcAxhToXNFlBToKAEl5zy3+fVgLZFWCAl12XL/fRfZWF9FSI+QlvZYkSYxg9mYqqoA7sLH5zcF5wKI1sxbutMT9xpjsC6AoVsc0jQUN2/y5hdeZHL/JcbbO8hMId/5JEQJ3lucD25FdV3fAyc3AXR7T4LoXAAN13WNEpLWtORZjlYah6cuZxzv7VK1BhX3afUKIy9xtWW3NLy+M2YpP+Dh+xLWezWuMQzHnt3Xeuxf26TQZ0nijOFoQm1brPNEKuLChU2k0tiJZz+qcZMFnv+D6/QfajkSG6iFnEQO6PnrdNgh1QaJpK47VM0GLrmfgbvAqHbkeRSGLqRCq+gt99E4jsNkdOnwMrRoRZh1mHMoNcpKJGClwAtPlGQ89v7/lY2qT/s7HyW6eA4WF1g/d4FL913Eqoo7R8/ijMUbj2kNUzejLGvC4FiLNQ7bgptK+vESD125HDZNAVsInmBRqRVeOZBh09hMatq6xgtBax0SEViIxoWNpLc4axB1hRgdUntHG+e4yKNEQhRnpEWOmIyJYoWKNHmeIyeQqYhOpDmUGlc21KbGO4sQnnI8pARGAtrpjF4U048i0AqhIJKSWsc8dzzjOF4kiTuoSFPYiMgOENKzubBIe1whrENsgIlaMA7lwCqDExYaxfS2Z/pqSmHWWEoTlEoRUmKOt2lti8DhhQ+yC+nxGOqmRhUn/sU1lAJ/oNB7OUWTEvkBIFi2KbM7oerHuqBNG5Atnnkb3Tp8Lal3wYyhbSKsFbg6oRARvp0jY/w8lffBu9s6h2wtNWAaibA5Zxce4/bzO+wel1RiijCaqltjjOXozozBbkt3Y4LSHiMK8CC1RwiF8g47hXroMVOBM4otO8a/W57WJr6ZDv7liW8mg19F/MXbxtytEH61x3I6nTn/GU9GPPHko1y8tDmvFoXn6fW6nD9/lrzIqcoaIaHTKVheXiJNgw5OacHm5iazsuZw/5hub4nbe4btgSSOJfiIflez1Bxy9uwSqyur5EV26laSpgkbG2vEUcx4PME5R5omLCz26fV7p+9LK8Hb3/42FhYXuPrllynLGSKS1HXFdDqjaVo6WY6pT/yGC+JcIoTFGhCiYW19lf2DI3bubONNS9u0tFXN1q2bTGdT4jSlrhuWezmdTkrnvgfYNS2D/WO0lqQP3c/yxYdYzhKU8DgRYU3LrJyBcHT7fSajKWkqEKiwCCt7Cu5ukKRZwe39Qw4nJZfPrYWRCicCq0zXXL/zLD5OkUmGimKkDh6ueq7J86ZlNBoh5SoowaULl8iKDq/fuMGNgz2yhR7v/u7v44tqgUFvh7TT5ZXdHdo8Q+cJSidInYbq0hzq671HWIuzoeXqgS+9/BqPXbrIUqfAVSVWBvG5VIo4TpDTUEkrq4o8S4mj6NTO66SKotp2PvVr8SYAgTGGZniMfPUNzgtJ503oDUeYtqa5dAmzUSCNxWJo4dSnOvjW3k0KjTW01lC1DXXTMBqNmE2meOeIIo1WisPBgDuNJ0kjuv0eUaKRKrAb8RIcONvhqF3gUy8dc6nvOdOdcO2Llr1XV+lFK+RJThLFFGnM7uGIo8MxcRph2gZloJk05KqHTyST+ixvXI3Qb1ugK7fZTN9ko1+TZZIoEgjvMe2Y2WzEzmyL5Z203wAAIABJREFU4+oiUi+hZRqq0lLzVlRqaO1laYEYJzDTOOOxBmRrqOoSa49xrqZtDNbM3Spsn/W1S2R+meKpKTuHu8jJiL0Xn8e0Ne/+tu9g75lXeH34BaZtRXvY4GzwbfOE5mIUxXirWHSbfN+3/U8UeY6/pwHogSiO6SQFqesx8kHrqaWlLku8UsG9wwvwDm9cqEC2Lb6uKMoBVwrPyFh2eh3a/gJp2iHNc5rhkMneHSbThoWkxBtHY2uGdUOFohmXNJMS4oi0mwfslQy8Su8sx0nEFycDBo3nqTimLy1KJbxee24gEVmOihMiLeh1eqwqgo+37+KalvFkyujmGLFpaLstUkiMNuAi6tdh+mbOUnyOrJOgdNisSSnpm0Wub20xnozpLSwhvaOdldTNDKUbqtqHa65saG8pskFBP+oT9SWpCNaXxidUpmVyp2Q2ntDeZ7FeBNI9At0IxtdT2q2MlC6pTJHS4zW43NK2ddgYyWnQ1TqBtTGICiEUzikQCg/EImO9e4lOssgrN57nted3UInDe8FidoE11ePwzpvAFDqOOI7RJoY2oj7WiHFGIQsKGdiijMC1IJNvpoF/2eKbyeCfEmVZ8uKLL+LcX0RCGBK5ra071HXNH/7hHxKSuD8GWDt/PEC32+WRRx4JCSGA9zzxxGOkWcIJQ8w7ydHxgJe+dJXjwQjvQSmNEMyZgIqN9VWuPPwgRZ6BhKzI+JZ3PcHi6iV++f++ShRtEiUptvUcTW/y/T9wjieurCOF5MQ/tCpbXnnldba3dqhbO0fLCJwzgKPX6/Loo1dYXl7kJEG9sHmOtZUVrl29yv72LWZlyeHREc5YnPP0ewtEUYTzBlsHRxOpNHnW5fy5nCIvmM2m1FVN0emQjceUkwnVbIZSmn6/y8L6GnXZkhQZfrFPs7zK4uoGy6uLSBHjrKV1DUIYlNIkRYeyKanrCiklx0dDvFc45wIiZZ4MlkikSmiM4er1mzx88SJC+flNzHM0mXE4GiOTHkLpoI1Tilgpkigi0RqnJftCsL8/YKWbkxQZWR5+RJGTRCmHuzeYHAzo9BfYa1sGviaKFonEiXZNopWcI29CwiUQQduvIohyZm3Fyze3+CvvfBwbxQgZfFi1jlhZXQ08xrJiOp3SLTLiezAwAH4ODr8LArY0rg0J5HRG1rQkcUQWa5xy0Diqqka2lkbDSXnhxNv4pAp4kgy2rQkg3NmUNMsCqd8F3MzJcbR1RV70iQpNHGfB/1U5pFB4JB6LtwqlY1qRcGMQc7Dfsnd1yoI/S5J3ECpBqYS13nkOjo957fkbHO8dMD6s0S6hORDkYgGjHJHOSZoe0XTAufOvc36xJe/ExJkkEQEvVDmDTixSD6inJUfx4zi1EJiW6kSQd+LyEZxLJAptcuyxpNmoiZIYqVpqHLVqQhu5kVA5zMxSTzQH20OkmzEpKxb6PbSIGM+mvPn6dS7cdx/f884fYvcL1xkfb5HpiHghhlRg8ZjWMZuWmAl8/yPfz4W1+8Jwhr+7jgBMpiWpSlkQZ9iu9/EiuOaYtkWaBqyau1J4/BwMbpoSMR3zQKw4JzOiumEymzBIcxrdEjU1g6MDZN7ludt3QFi6SU7ZGF4vKw5nnmY6QxZJGGiJwveEuTeK9x5pElqZ8HI1xM8q/lpcICLBtUGFj7vBE1tLhJbkOiVNHVo4rJf4KCFuI6Iy4uD2PnbTYKMaqTztvmT2epfFeIM8yVFxGqawZRh8W15Y43CwTjmzPHj5Cp1CUrdf5s1bLcJYsA2i1ZgtQWfQZSXrkURB0yiUAC+JvUHblkSm6Ing6I0h/qJDRS1OQLXbo721zHK8gpQFUkZIaRBO4vC0rqZpa+q6wnmH7q1gCNc7PlT5vXB4b7DGUJYzqqZmpX+erOzStEGb29d9im4HOUi4s/0yZrUkKzyRi/ADTWGX6SQ9tA4DZJoA+R8cTlg+0w3XydfpMMQ34789/puSwa9clbq3lXlX7P+1ihN2W0iO/vtef8fHx/ybf/OLtG373+9Fv0L863/9C1/V465ceYif/MlHgXDWhsMZSaoBH1AFDq7fuM3zz79IFMUURe8UCC3mk77GtOzsHnJweMy3fMsTLC/3570jydGgpLEF3V6f5cWC4WRG0/QZHBl8WK7BC0ajKc888xxl2ZKmGXkngK3FPDkJeJma//yZL3Dlyv1cuXL5bg1UCOqq5OjggIOjWwzHExYXztFfWKRpw2KYJHHAmwiBdY7ZbApIer0+Wkfs1TfZ39tlZXGTqmnww2PS1rLc7TAbTRlMjtjbe4PFlU262SKdoqCeVUjZEsUBinwC4C6bEqUjkijGNg27e1uMRjusrV8kSYuAFBGO2gFKo6OE7YMBU2tYzLN5m9YzK2ua1hHlYRpQSIEWgljKoCXMc3CO2X3385mXvsiompAtLNLr9fm9576MXury9sZw7dkvo4mJ05zdwS1cHBFFCiJ5OuGc6Ih07gteO0NdzzV62iOcRemUa2/c4NueeIRcyeAb7R1CCrrdHmfPeq69+SbjyYQiz9DyxHFEhETwHgcS7xzOOIw1TNuGUkhm/T57g2PKrZvURnHY71FLgW9KMhkjInFaFby3kh3cb+bONJMpo+GIB+5/gKLbwVhL1VQhucYRJwVJnhClacDVKI1Q8rRS6+etaKFsGJBlmeHQI4sjdBujVBxYeUohY7h8ZZObu5bh7jGjW29wfvkS51YuBScaVRGriFxqcn+LjQVL3onJimAlqFXw1I6spBEt3sH6SsOdakItQitP+NPpitMBAI8kK1I6us9wr0e5fIjUFdJGwYpPC5Sz+FZQ1oLmKEZv53z0hU/S7RZsbKzQ6S6hdUzV1sxmE6q6ZmiOiG8OWPvEbZb2HNMNhf+RyzQPpjTGIWNPhed4uovBocVdP+qTFVd4j0eyFl/m9YMW4X3wvDWWtmpQUiIdtIREXtQNvhpzXjVYJB9vNI3OcWkU2ICDIRN3iK0bsqzgKNL8wdaAIppA3qGNU0bjA3SeotMUqe/a3gXfexfUctIiZIoXjmsTx+rU8kCsOGgtolBhnVEKJTVR7EniGCVFqORbi5CCHmBmNXe2DnCLFdLD5DXJklwkTXNUHBNFEYkOAGYlFT4ybJ7fZNTcIc0UUZrT6/QQpaQ8bDBxgx4ausc9FtMeaZqRRDEq0qfAfWsVymikr+m6Ls2o5fDOIa7vkE7jb8X05SJp2kOJGCn1ab3WYtE2IlIJWpaU1YzR6Jhud4HYe3DBgaS2FYPhIWU5RQqFFhKvJGlUkAmN3XsRfecQv3yG+8+8iwW/wBs7V5nIKb00YiFZp8j6pFGEUuEzEMITC8Voz7B01iH8VypKfDO+EeNPTQadc/yH//BrTKfTP/Fx3gc+XVXV/Nqv/T9B3P01Stq8h+vXbzIYjLhx4+afmBB678myjL/5N3/468bz7y8yhIfXtnc43LrNg/df4sKF8xweHfPccy+QJOmc/fdWJ4hQnYnRWjGbTXn+uRd597c/BQquXr3GRz/+LMbeR9vWTCdgaou3Ja+/tksvm3LloYvEUcTnn3mOqmrodHokyd3XAE5v+lqH9su1V1+jKHLOntng9q3bXHv1Greuv8jhnTcoZ1OiZIU4iaiqGZ1OlzzPSZJk7oAQrpG2bSmrgFDQWlOkGUd33qSpDOuDKYtv3iJrDZOrBccP3s8d7dCiQguFihRNW1PkBUmaBgL/vLJqbRg6mE5ntG0bJmkjGB/dYjY8IMk6xEmGQDKxLSxdQUhNWzdMZiXLvZSmbWgbS9OUdDoJxB4pDMIHyCtSoZHkUUTrHYurZxhfHPOFW9d58UMfQeUFMu/weLfD/tYes9GETr6A1jHDskQkGkRwtZAi+ItmsaZfFEgpGM6mOGMw0uLmE79SKsbjIUeHx+TRfBPgHGhNsbhCsbCC7vTZ3d3heDIFGdA0bt4qPmk/n0wsWwR10zCbTdktK6LLl3jlliafzKgXCpr7NxnMStb0GO9zrHVz1xt/utEMFliexrSMJlOOhlN6S+t0V8+goohYwGgyo7WO2DmU1vPhpwDC1koHxIy8W3W865TiSBKByXuwZPFH4fWkcDhhKMUh0XLNQ+cv0ppV2mHMkjqDLGPa1mLm5yyOHavLkKWCOBbEWhPHKVonQefXlnjv0K2jE6d0oynGWIhbrFc499abaBIHy7xz5y7SbLeM32ip7BBWG3Qao7SjsQLXGMxQcl5+G5v3vZ1Ddcju3hZV1WU8niJlSVVVxElKmjief/FjRL/7Ko9dj+jFKeNrJa/8v29Q/PhjuEWFQGJ7JS/sfYYrq0+x2b3vxIcu+N8IQbcoGI5m5GKZM53LvHk4wLkGU5Vh8lVFNEicd/i2pDA152PFxEi2dYLvxSidolSCU56kdahmStSMKMaHdHWElDG0Gi8MO8cWqTUq0SgdEmwZBY6eFKEyZn04NuXBRwltUnB1tE+/s0BrBRKJOhE9CoHWUVgr5lKEk429c9CJ+qjBMYPDkk43R057pEU+RykFKcIJU1PpGOdqqnrE0WCXzz3zORYXljk+3KcT9RgdVMzqkngmOVN0g+92FBJKHQVOKIRk1IgWN7f9LEyHna0B1VFLp+igyw5JroisRosYIe5uuiQKrzTa6Pn3RTKdTRHTMZ08YHIm5ZTxdITWkjwviGQSEmMBOANvPEf82kdZsjX1tmS8e5P1b/1f6F38Dm7tvUYa5WRxjyRKAthaRiEhVR6BYnTYzgsD34y/TPEnJINBv+Cc4w//8A85PDz6qp/0c5/73J//yP6YODg44LXXXvtTH9fv93nve9/7NUkGhRBBRC2/cXZBUXTvxyq4PRpRqJQvf/k1DnaOGJUTpNRkWT6HCQdYrpy3QrzzWGnnO3GYjEdcfeVVpmXJ9tYdqukY32xTjlcxVYS1Bi33WF3usbW1zXQyYHFhkdF4Sq+3OPeWvuc1CMmgkSY0fnwQtF/98isMjoZcv34z7KhjSVuPsK0lzSR107DQX6LT6ZCmQcOmlJgnsJw6WgghmEwmKB2RZyl2PKb/6g02naHIc6bHQ1579WW6jz1A7Q1IhbeWotunKIIby71AZevMfFhEMhoFP2UpBGkkMa5iNB6jyxjQzKyApQcBgXGW3e1t7Hiftgq6pEzC937rtzAzhsG44mDWMHEt1ktqpziaTXF4jG05v7LCRp5wPJpS6YzatOgoYe/2DsqDVKHlXrYNPg02d8KLOSQ2nJckDi3sSVmeJov3ruPWOra2t9CpBmdpjaHoL7J45hwISX99g3P3PcDO1m22rr+BH46o51ZVYj6g4gGcxyNomoamaYiEZFBbjtdXUWuePCvIFhawgyGHx8dU3pIn9V1/5lOP45AY1q1hWjWcu3SZMxcukXVC9VUKmE6njA92SYNQNMB2tTrlFgaQtboLw57jT5TWoD1RHNMupvhJcMVwQjBr94mXDNlKTlqkmDplLKZUwwmFTOZfJYEXAqka0rxFKhe8o6WcX9sdAtOxRSHRQqB1SxRPcZMS02i80Gg9m6O5w3uO44ilxQW8G/DQ+Ye5vh1xdO061dGQZKFBRwZrY0RVcCl9jCsr34atIE2mLC0uY61jMBgghMRawzufeAdWGrZuvc76fkuWpiydWUPu7NN9c4A4ioiKdTLb49DtssMWtwevsdm5by7vEHP3HM/axgpv3twirQQ5Cxg7oK6nqINdYikxUYKQmp4wnM8VG/0eLw4rdtMF0ixHJHNGpVAoZyiqPdaO91kSLT3liWmCJabxtEcjFq3hZtxlUHQwKkYqTaRVcFWRCusdjQnuxt4EyYOMUg6jlN2yDW443O0meTxaBnxRHEWn14JzDqUMkVIs+CXq2SLnz6yxI8rAM5VqvokIHtxJEhMlCWXVUtsJ5y6ss7u3x3QyoSgK0jih33kbW9d3idoxSS8kf0qFazOKQ0IqhDhFKOk5uzNWEd12EdloLm6cY3/Po2SGVmmwUbxHmiG8D4MryCDV9NAmLWU9QSpo2rAZK/KCOAouIpGMcEoTe4Vr9hnf+iwXqFheW6ScjjD7n2e49xisvZ2IjDzqE+uYSAfIvJIxUoQ2txSSamzwRiCiry8HjT9reO/DmjVf175SnKwlSqnTKu9XihPt81fz2K+X+FMrgydtoW+MuGdy8msUGxsb/Mt/+X9+Q5HX77W9abxjb1ryaLFIXZZ8+j9/htVzZ1hbXZ97w4YvfKTjU3Pyk4s+wKFT0szy2uu3UDpmeWGNs+sTqttD9o+u4UWMEoYnn+izspTQ1sH27tatOywvrxLHMfG83aJV9JbXkObETN1i04yjoyMGg2ssL6+Spxms3sdgd4+d6ibGGvr9BYoiJ03TkMRqNffiDLZNAfMSpApt21KWnk6RUB6PyWpL0clZWj+Pb2+RTRsWiw6Hs9DOK7IOeZ6SJBFxHJ1+iUMFU6KkBcKXvG5qrHcUiyssLlwkTnvoKMJjaZxna6jANwha6rpEL3RIF/Jwk0EivMd6T7tqKOuavVHF9aMRo9mEsqxIbcOqKbnUTcn7XSYLOS8ej7k2LFlfXWG0fxSeh3kl0M9xHvPeXkhgLbWxDMaTwJlsDcZ5nCcQbH04T5GW5GmCEuFYqqbh0oWLFL0+ELiJWVaQpwmirRkd7pHlWagm39Mmtt5hGoP0niTRdGKN8Ya2bMjSjMV+D4+jt7GGawJEPEsz4iQONnZCnE5Etm2Lm81Y7y9y/wMPkPQW0UmKkgKF59zFS3xxZ4umrufX+d2bttKKOA6fIUDTBv5jOCcOr0xICnONiS20nta13Dm+yaVL60SJYrHbZSpKqmxGfdxg5wy9E7aksw5j7CkBxztw3iF9BV6DDddNbSJ2xik7xxmDagiTFi8EGgtPfevpgiKE4G0PX+H3fv8P6PQXeWL5XRwfPcjhaIfpaIyKFIv9Rc6vX6KXL9E0DWVb4YDvfs9fo9vNuHHjJs45zpzdYGVlle3xddq4pow8dtIy2D+grkrMuqabn+eS/w4eXH2Y3dEWvzP8VQb1Pl7MN2dCIuZGhmsba2SFpqomtI3BlxXaerq9nAeEZzORFKmkXyyCTvjE9jFHuk+cZ5BptExQMkLTsHC4zfnxPkuxII/mVnZzCL3H4SwUtmahqbi9u8XWOYHtLZHoiE6SkqUJTWuYlCWts1jlkC5MW7dRzmg6JHaSsWtRLkbN9afCC+I4Js+yU6tMIeagPgVaKIyd8bnPf57N3qPBo1gQOJfz9VRrRV6keNGGISpizp09S6QjJtOSqmnZufEGs1nNms5C8nTa3J07h2TZqfuSEHKOuwrwei0ds9kRr92Y0peX8dIhtELJu/IdEGjn5k5CQY7jIkfsYuq65HBwiAA6RUGWZkQ6R6u5zahSRB5cIyDPkJtXaIXDVyXCNkyPBlRqJ1QDtSZSas4XDY46kdKgg6TFlhbbOKQWb0kNTu67H/vYx/iFX3irpCnLMh599FF+9Ed/lM3NzT+X/v7q1av843/8j7lw4QI///M/f+qc9WeND33oQ/zsz/4sH/zgB/ln/+yfMRwO+bmf+zmuXLkCwHg85t/9u3/Hb//2b7O3t8fS0hI/8AM/wD/4B/8gOE9xd2Bzb2+PX/zFX+TjH/84BwcHLCws8IM/+IP82I/9GN1u9/Q1n332Wf7pP/2nLC0t8YEPfOD0nj2bzfjxH/9xDg4O+Omf/mkeffRRPvCBD/DhD38YuHuOsyzjHe94B3/v7/09+v3+n+v9n8SfkAze/bAeeugBhsM1vjGSwmD/cuKB++cNKSV5nn/dUsO/UpxcNKO6oawdyWLC4eAIrwRZnBLNNYJah2pKFGviKEFIQdu09+yeJVoHCK5WAQFx+YG3c3Nvh9X1S2iV433LwcEBzf0pSSKRZTVPMqP5LjsMMkSRJk5ihJhPoxKSFjn31YzjhOl0SppmRHFCmvdQySpRWpJ3OuRpftcS7eT55vZ21gb8hPfBBitNEnAJx02KEwVDKRmXE6rtNyjrksnCCsXGA0yHh0idoDKBju/arJ14Nd/bVopsAC2nSUaULrKyukynWMAjsM4i0MQywh2XeGtJpGJ9dZWiUyCjCKFCAifnn01rLV5IqjvHHO8ccFhWgER5y0B5Wt/jbRsrrMeaxsH+4JjLF89x8+AQ691p9SOXilnb4pzBeIV0Etu21N7hmgaPx3iPNcEuL+BiLM62FHnG+toK0eCQ/bJmaeM8S+vnIIpROKzzWOG48coNysmQxYUe6bz1pe6pWDjvMZFFxIq6LLF1y0K/R7xesLl5gd3dbYaHR+RCEMcRedEhSeLTpPvuAInHRBGRVkyqmv3dbR5cXUMnGiVD1Xd5fYO1s5sc72yhXNA4nixNwU0iIs9DpdRNJqdexwKBlwGcLTS0ymJqgzSG0WRIXfdpq4Lh8YzWVJjKgkmC4Yi3eGcDh65VDI+hqaFtodEGWTc4bQFPYyw7k5TnX87YOe5hkxXyfkwkNFZ4wr7i7noiBKyuLbN5/gzb27voXoeNtXU2z57HKw8StIjAQltV1PWMcjrh7Jk1zmysIqTgsccenT9ZyFCbtsUvSg7+h0W+/Hv7LI6HDAoN//PjtEsRmc+IdUEu+og2xtY2TMfj5pPE88lWJXnk4Qf5whe+RFnVNO2MeHGJsenw6nSE0Yqu8KwaxXBS8lpjcf2UWEcomRApSaQgPdzn3GiH1UyRRhGJkvNkQ8FcC9h6Q2YyUBUX6il2f4eDrECmOXGk6eY507JkVtcoIbBC4mWoYCo0dVuzICTjtsTFKapVOAzGh2p+SZCSnLIxXdgXtapCrB4idUNr28BfnCf/J+tgaxzlrMIZyJNVDvd2cD648UxnEwaHDU3RojcmNAOPY+EtNAdrLVVVna5V/vT7O69MyQa5PsEojR1b8G7uNazRUdj04sEahye0mAUhWdMybLhn5ZSi6JDGebCrm1f3pNB4rRGyRRRdHv8//nfOX+py8NxVbv/C/8VhtoFe28S0LUXaDy15KUFqhNQoJYlihYwlkRQ0zlFPPVHxx1fRPvKRj/D000//sf/2S7/0S3z605/mwoULf4a7WohPfvKTPP300/yNv/E30Fr/mWkfJ5/LT/3UT/H4448D8O///b9HKcWv/MqvAPClL32JH/7hH+batWtASMJeeuklPvWpT/HJT36S3/zN3yTLgib84x//OD/yIz/C/v4+URTR6/W4evUqn/nMZ3j66af58Ic/zMrKCgAf/ehHefrpp/ne7/3e07UPYHt7m1/91V/Fe88HPvABvPf8+q//Oh/72MfeIuPy3vMbv/EbfOITn+Dpp5/+cyfE8FVUBpVS/P2///fv4dZ9fSdFX+vj/IvHyvzZ4mSSeFA1KKmItGQwPEJFMrTUpDgFEksp0FqT5SlSSqbeY4wJlmtCBOaUDEmcijQ72yMqt06nv8LCQofppGZ0ZNg/rLi4GZAcIQGUpxewlOF1szRDacV0OsXOp0KluOtqEXbtEMWKsXEYJ3AyJk4XiLREKUHY6AqiKCbLsuBiUlU451HSotT8PeqIqpGIYpGbFzaotrboThoGnRz15JN04gwtFKmKiGUarNbUibtGQp5nGNMymzHXtxEqUFqjdAJkTCYNOmy8AUEtWoxtsFXLubVlVpaXSLVAyxgxb2kLLzBCcOv2Fp/43LMcjGZInRKnGV6CF5KZcbxwWHL18DXetb7KehbxLQ8/wOpSj4N+h4M3d0hNg/SS5W7B/uAYl2YIpaiNYVzVuLYJlax5609LRRQnyEjj2hpbV9z/0EP0ez1mowFxt88jT74LnXURSqK8wTnHl6++yN6d2/SzjDxJieOg1VQnWjxCC0VbE1qmKCZ2QmRh8/7L/LXv+14+88k/4KWjZ0Aq0m6HNImJ9d12/Gky6D3aKlQYHuV4f5e9rVvc//AjSBkhhMQR8fg738V//sSIqmlJThsBAaJ86gjj3wq1hnll1HuEB+sM1s9IijFnL06YTK8htaFKShrTMLwzY5Ee1rowyGENrWmpGsvhQclkDHEiQYbBNi0lXji2jnt89sWMMefRvS5JotEyClUVYZFW/lf7aiHgW7/tW/jYxz/OwcEhva4lSfPgSS2h9TXGBe3qaHbEQr/Lk+98HCEFwedUnp6DtrV89g+eZ2ih/1fPcPTOVY4HFd3NDuJyn4HZ4vO3P8beYIetwZvsj3apb8UMzk7pLuUo/5ZUlc3NC8xmLS/8waeJ0pyqbpCtpUx6XFUC5YDS4RpDk3aJ0UglERFIGZFMj1nbvcVaIumohEhFaH2yDgW/XuEckY9o8SjvUFHDmXpMs3ebad6jahqGkxFNGzYz/h4WJQTcjLE1G3HKrekEozsoLzDCUZugJW7q+rTrYY3BupbSlUyYEi078kjRHh9RySR42vgIZwNDk7o8vabWli5Sbs249eYWDouVhiiLEL0ZquepyylTNyF1MZGNaK2BJnRAEAHobI3FGktjW2Z+yiweoFfAtiVVuU3lJVKC1oH9maQR1nrqWX3K+hRWIsVcTyk1URSTxAmRTtEqOcVESSWRKkITUbLPwv3nyFb75I8l7F/+TqLeI5j+Kv7oEJRECA0ikAWEkChNKAhkMWkiKSvJdNRSrJ5ULO+GtZZnn30WgJ/5mZ/hR3/0R/Hec/PmTd773vdy+/ZtPvKRj/B3/+7fPf0/zjnKsjztIP3ROKmYpWmKUopnnnkG7z1PPfXU6b0OoGkajDGnFdivFGVZkqYpAP/pP/0nXn31VT74wQ/y7LPP4pzj0UcfpdPpcHh4yPvf/36uXbvGU089xb/4F/+Chx9+mOeff56/9bf+Fr/7u7/Lhz/8Yd73vvfx6quv8r73vY+joyPe//7385M/+ZMsLy/z3HPP8bf/9t/ms5/9LP/8n/9zfu7nfg6Az3/+8wC8613vunu/9p5nn30WYwxXrlxhYWGB4XDItWvXEELwa7/2a3znd34n1lo++tF6laLXAAAgAElEQVSP8nf+zt/hYx/7GNvb21y8ePErvt+vNr7qaeJvlIToa32c3yjvO4S/509hfz+ZNeR5BtLRVA2RVDh8EHx7CIw/TpEe3oGbA5T/6GKLjhACdu7s4t05cB5rwi4Vb0BKlAjm9J57b8Kc7sRP22su/ODnN/D5jftk5y6FJBINqZogvQutmxMZAOHPgrkvp5pLGbx863lQoKRDqAZ5YYGDZclx65DdnPWNDloZvFAI5ebqonAuBICXc+F2G5Ab4QDwQszxGgA1aeQwzYimrvBe4HSBnXkyJE9euZ80CS0WqfTczi3ofW7d3uUjn/gvlFYSZT1kFM0n9kQ4jtihbYxpEz6/dcjFXsT3ffdfpZ5NSLsJ2UpBnEWITHDf5bPsv1JxWM4wTR0SqigKiZ/S83a/xZmWppxhZg6No68ET1x5iDhNSNY2ONtZJskKVByhVZhyHQ6Ouf7qK3STiCSO5pXZUH19S0VvPnUKBocnMwl12yK9Q81N7z2ePE3JohgdxacSBfVHksHwKUc458mM5+brr3D5oYeJ0qDpsU6iig5Pvvt/5Mu7d6hdYLtZ72m8RTcW50oQBBj2HJztg8Erxll860DcYen+kvX7Sh7u1ZR1xd6dq8ymCcbW6OYMSkUY02BMS2MdM1Ni1A5Jd8L2VoPSC+AzXOxQSjFpcz57NWHiz5EWfVQSqjNChfeoATH/ft0bQgjiJOaxd1zhQ7/zHzk63KKfn6XQXSJpMcSUZsSo3MWKhnd/x3tJkugeKuBJSLZu3+LNV29guhnTlRH+rCR7oMss0mBmCCdw/Sl3Dl+jsYZmIGmPYl56+Srvfve7wvOdPmVAUV24fI6lVzo0+7dRUUbUyZBaI9RdDbC0Lbptadoa3WqiNEV6h9y/zaowqPkQhdbytCOhlEZKgbMOYQ0eh/Ea7aFnG/qTA6azCTMkM9uABdNYWmdOIejCOrA1cVWyKBy9asJQZbTdLpFQ2LqlriuUCIMuzlgqW7Hb7rHnD2hXa8g9/SJCrI4o6yl1eYiz5+jbTTAS7wxKGjwBJ3V25RJpT3Fgr2M7NSKfoZOAb/IXBfvlHk1bs+HO4tt5FcqEU2sc+MZS2ZI7bpdBeohcEohUEXuLL445Lmdsjr4VJQRaQ5yAaQWNOtHXnnxGfq4FDvpdrRK01KcbeakidCSDBaKUHAwMb7x0m+pSyd71CQuP/RC2SWnqAaExfi8NxBP8TYI+USODjzKS6sghLr9VMyiEYDwe88orr+C957u+67tYX18HYG1tjTNnzrC3t3eq5TfG8Cu/8it84AMfYG9vjyRJ+KEf+iH+yT/5J6ePeeGFF/iJn/gJXnnlFVZXV/lH/+gf8cUvfhEhxGkidfv2bX72Z3+W3//936dtWx5//HF++qd/moceegiAf/Wv/tVpAvr000/zmc98hl/+5V/m27/92/n5n/95/vpf/+u8/e1v54Mf/CAA73jHO06rgy+99BIbGxv81m/9FhsbGwB8z/d8D//wH/5DPvWpT51qUH/qp36Ko6Mj3vOe9/Bv/+2/Pe1MvOc97+EnfuIn+LEf+zE+9KEP8TM/8zMIIfjCF74AwFNPPfWWHOOZZ54B4Mknn0QpxdbWFnfu3CGKIr7ru76L1dVVAL77u78bpdRplfBrEd/kDP6lihNUbPjlBRzPKpAKMR/cMMbgWos7bRfO2WCtYTYtT9sY1hqss6el9NZaYhkAz1pOsfU25bRP2xa41iDdHmvLZ4NPvbXYuYXcqWuFtRjbUlah0mrN3dcIjzGnbiNChCSvqgZEHLGQVQgzo3VgncBZ5lZwLWVZImtBa0LCan2L8RJnHZFtWUoMcdKQpj20OgdKIL3BmiOGR8GWybQ51nusC+1O6yytqZlO58feWqxrcQ68qxHGIOsJZjTgyEzROkaoBPA0dYsxio1iFXk4wSzWJCsFMhIoFdxJBoMJv/37n6SyEGUZKo6DrZpSoeXp56gWKRBSY73g5njCta07LA4OEbbl7IObcxguLGERSz1++9PP4LwgyTvoKEYqCWIugHIO72JaE3yTxazk/OIKzdYRNklYLPokokZpjY4isijCYXj59i28NcRRMr95n2jzNNE90+HGGIwHJRzKy9DCjzSmqRkfHdKWM5JIB1j0fOpXz5/jRErgTlrZbi78V45EW2aTCYPjQzYXFtFRRNsaGqC/sESvmbE7m2GMIRYSKx2lmqFdwLy4ORrIOYezgQNnbAN2wIXLO1x8cEqvk5DEGqE0m+clTVtTzloGt4+48/JN6mYdY6BpZrTVLusPHPDg4x1u3Drm+q19zpQrdHsRMo54eUszKs+QdruoNJq/3+h0ohlAWPvHCm4EcH71At/3Pd/Hf/y9D3Jz7wX62QpRlNBYy6g8oL/Q4X3f879xYf3+P1604+HGrds0rSc+WqS8NcUlLdIKZGJBWRxBLtBEnvLA4fY2KHSfvZ0BTV2TpjHMNYMCjxSQRQmPXH6Ej796gM4ylI4RWofrlTkWyGmk1si6ppzNSJIU5yui4SFJpuea4dCRUCoMVegoDOdZYxFtg/NN0F86SaQkndbgxwNKHSPa8N2wLug2hTF429LalqaZcThtKVrHEobj41vM5Dkyl1E1JVUNCgk4aldzu91mX+8Tr0jSPEwsSyECy8+Aqfc4OD6mLWuWzQNooWmUDU4l3jJmwF78GnJxSNHRyFgEfqcXeCtoGjiYDpgNZ1xyFylcgSJCeonzDVNKrtttJr0RSRGTJjFeg/IEaHQVYcfBDac1Dlk5rPV4G4as8A4x//He4n3QNJ9cZ/d6iCdKh0GSRHFGXeTaF/9/9t482LLrru/9rLX2dOY79e3b3VIPGiyrrcmSLMnY2DI2hNgGEvtVCjDYxHZhSAjFEMdVeaQcEMVoBA8KFCDEFebEL0xGwDMyjmVHtgZrstTdVs/TvX3ne6Y9ruH9sfY53bIMAWyogvdW1dHQd/c++56z91q/9f19hyOcfHqdTrJARy3ipE+RoZ7vJ9zYKapu8ChmUVJZSVVpBjsF2BiuYGNNEMC1tTWUUjz55JN84QtfIMsyPvWpT/Hss89y55138ta3vhXnHL/0S7/E93//93Pw4EHuvfdeHnroIX7qp36KxcVFvv/7v5/Tp0/zT//pP2V1dZXXv/71pGnKt37rt9ahBQk333wzy8vLfN3XfR0vvPACb37zmwH4oz/6I44ePcqTTz5JHMd85CMf4bHHHuPs2bNcvHiR66+/nltvvZWHH36YRx55hE9/+tNIKado3ate9Sqcc/zO7/wOAO973/umheBk0/r+97+ff/tv/y0AKysr/Omf/ikAH/zgB19EK3POcdtttyGlZGdnh/F4zObmJqurq0gpp63eyfjoRz/6ItTz2WefpSxLrrvuOmZnZ6mqiuFwyAc/+EGMMdx4443Ta/tyx/+nisFJjuw/FHXPlzcsFsHp1TWGmQZ6JEmDwfY2WZbSqtpEkTf3hdoayHjO06QAnEbBVRWlNsyGAZKAg/uXWNs8ybhfkIsmEstNN/SY69apDUFAf2trevMGwWWhweX3u/wePi+2JM/zqVoLa2m0F5nZfSPN5iXG6SZVMYtOInQYUkkvnjDW+tahM9gKKu2odE6Z90mHp5jpRjS7B4lasx6NEhHWGqoqJR9vY9wKpjgLaRcdJOjAIoXGudxzBZ3w0WtGU+kSXRqKdAPEDlZ26c6/nDBuo0KFQFBYR5Tv0E81Gyt98tWnWbrhAIduvQERCAyCTz/6ObaGGUFn1kfRBSEqDH0LWnq5r3W+WEZanIspreZ/PfV5vvHe1zDT7SBCvxgHeCHIzoV134JttFFRggpDhJT1Yj1BZi1SeZPgyjlW+jtcOHWB1bPnecXNL+PqhQWEFISBpNGIKCtYuXCeuE77mLSFlZQEQTBViVtryYvCq8IRKCt99FoQcObkSS6eP8/G2jp7di1M0UQpRd2W98T6oFZ6FnlxWZChPFcqDgJWV5a55mUvJ2kkCFH670YIXGUwOscFkkALlJPo0GCEnfJrJq1BrQ26MlR5QSdc57pDhm63S7spvDJdKpzw7bs4EARXZ6TDM1w4osiLmHG5RjB/lP03WeYWI5auuoYTX7jAmTOrRGGCS5qczQ7S6PUIoxgVRQTKWzRNCl7AGyh/yY6DRQGHFvdz692HefzCnyPbF3FBRGA1nRRu2/Ma9i8c8PzYGrO+chhrGQ1TkqjJsBgyWE/RYge71CJMQoQSHsWtBIP1lNFqwVy5RGd+Hm01o+G4LgYnZ58oi6W370kayCj2qTkTdwDpUVdnFVap+nfLGfX7NGxKtyoIWgolJt+9N1pXQUSj2SSKY7Isw6UOVRtXe/oINDHIcZ+yPeMLKeG824ExiKrydIcsYzwuUTN7GJUpTQFBkWGXL2E6PXQnJA9BCbBOcLa8yHZ7jcZCQtyMiMKoprT4zkDlLCqKICjob51Abid02A1aIS3kcodl+SRyd0bSDQjjcCq2oJ6TVOxflSg5v3GBJbWXhIZHz23BObfMcG5Ie0YRJoE3yVYCWRe7IozQpqTCQO7QpQHnW8x22ia39SbH1t0cUYvKXvySShHEAY22JIhnefn+uymKMWXhMKXGiQwVKGxNnfDxk7ZG0/33QeUNrSlCrKuohEGXguAKww4hxNRJxFrLv/k3/+ZF9+bBgwf59V//debn53HOceutt/Kf/tN/4t577+W6667j/vvv5/3vfz+nTp0C4Ed+5Ee4dOkS3/M938PP/uzPUpYlb3rTm/jMZz7DzTffTK/X4wd/8Ac5duwY3/d938eHPvQhnHP883/+z3nwwQd55JFHuPXWWzl58iTWWvbv38+nPvUpdu3ahTGGD33oQ7zxjW/krrvuYn19ndOnT6OU4o477mBzc5MzZ84QBAFf+7Vf+yVX2Mma9vzzz7O1tcW+ffu45557pgXj5OeDwQDnHFHkaU2f//znvaLcOX77t3/7Jccrpbj99tsRQkxb4isrK9x+++0URcHy8jLj8ZggCPjRH/3Racv7yx3/qItB5xyDwYCHHnqIxx57jLW1NZxzLC0tcffdd/OGN7xhqsT5h9UO/suHw3kzUGHJDZzf7hMRYI1lptdja2ODfr9Pu9P27SsBzsVT1SxcLtSqyrdX0jRDOGrUUHL1vquxlJw7t4IxYxYXF7jpxiWwBmO9z+NwOJzesKomgE2k9l/qPfI8p9/vT/lj2kiCJKY7u48iWsAFxyhHlyiiBoGSCNHEYVGqJr47jdaCstIU6YDNzdOIqEVz/iCd1ixxnBAoz8OxTqBNQpy0CaIZdvrH2BmeYi4JUQE4G3phi7jsC1ZqR5FbstE6w/FFWt29tHt7abSbhEFMIAIkghxLHOYMdMrFYsytvV1cfOEccTPhmsPXsTEecezEKUTUQAR+MZWBF/JEgVdYOucoraGswLnK777DgLSA7bRkaWEWqXyLTiHYGI557oUzqLCJCmJU6M+ppKp9GGuFuDW+6eMcwlmG+ZCdSnNV2GL1whpXzy34ODFjKIqKrEgZD/qoWnzBlQuMEB5BbDapqqpGdGuBzMTaRgqSMKSRNNipOarTRaouYqRShPV5iqJAl1XdgvfDvxcMBwPKsqjFR37Bwhm6wUWMOE2h58jtItbO1e4oHhm8nGqifYxXnmNH2ywtbtNtWZqxII6D2mvTt120qrAupzCO2b07nD9xhuG2xLXXmNs/IunMEAaKTlNx91030B+VLF/oc+xciAvmL7dDhfJJMBOfutpw3dUbopc+u4KB2eHPj/0Wx9LH6Sy1SRILSoILqCrNsdGncS9UvOG6f0Y3WqhdDi5/YM554+jZuR4r/WfJgh1aEoI4JGiGqCAEZ9GZRkVgwgp2DWjsiiAzVNp6uoXwxcXkpanYLLeQoac8+N8p9PeX8AIqv5nEv0dkycsx6U7ft8bxtkdXNrSE4EUCIjFtarhpiaucg6pElyUSiRW2TqEpcYXGZRliZ52DrmB/0KATGGIlMK2EstJslZu4oWQncEgJY1ux2lin2RM04hAVT+gKPt/YYhFGgcgRCMxMxfboNHKUEBFjhGFTnccuDmi0GjSjCBGFvuivOaPaaowUSJdgOzDMx8iNdWZsD+EcfTlmPDuk0VZEcRMVKS8SkQESi7bO+48aS2UrnJWXvTzrjY11Bm012lY+tlFX9Wf3Yp6ssw5jHdppSi3RFV41YxXOGYyocMICvogvqoI4LgiM35waU1t3OXBG+GQTfB59mVUEjRdz/CZtzte85jV8/dd/PQBFUfDggw/y1FNP8Y53vINPfOITdDoder0eKysr3HfffZw/f56nn34a5xw33HAD6+vrfOxjHyMIAv7dv/t3SClJkoS77rqLRx55hJtvvpmqqvjTP/1ThBBsb29z3333AbC+vo5zjo2NDY4fP8729jbdbpf//J//M4uLiwB85jOf4eGHH+ajH/0oUkrOnDnD+vo6zWaTm266ibW1NaqqIo7jaWv2SqHHla3Zc+fOIYRg//79lzd8VzyTDz30EAC33HILQRDwxBNPYK3ljW984/SaAY4cOcL73vc+Go0Gt9xyC845HnvsMYQQtNttsiwD4JprruHaa6/lX//rf83XfM3XfMm55G8z/lEXg8ePH+eBBx5ASsV1113P7bd7jsHW1haf+tT/4lOf+hTf+Z3fOZWQ/8MfbjqROmAwztgYpsxGCbrS7Nq1izNnzzAYDGhsJfWN6+r4uYmflZe4a+3Rl/F4zM72Fq1mE11qqiBDqIRD+6/j2v3XAcIH2RuodEWpS6Lal3F9fa2WzHsBxkuNrQ1V7Yu1s7PD1tYm+/cfQGtLqXIiGREkMYGKQF5Hf/Uog/4lhAzrgs7HrgmncM5SWI3Oc7ZXz1EWBbOL19HuLNBMmsRhiAokE+sZYxJUUCADiXWH2N4+juxfAgQ6ahIYhZS1bYg1FNpRjkdsbV8gilr0evtotTokSejbxEKB1AinUIGAWLKajal27aMtO5x55iSLu3axOthkMM6Iuq3LSJuQRCqgFce0Ep96MswKrPXWLk4apFQ4GbLe3+GmZD9RrfZDSE6/cIphURK0mrXhcq2IDkKi2ndRa0OhKyoEwtV8xCTmwnjA/tkFGkHkW3UGijLDac04TykrTQJTTufkZWuRUVEUnpA/4a5Y4fmgzqMsoVJY41tMU+c3f7IpWllpjchzdM0Xte4yp27StvLIcYnW9eKmNcaU7JkbsXduhbS6xPr4NBvja0jNQZCe++Scj8nT2lDmBfl4h7g4xq5ORhBFnr+mQgIVk2eW8bigyDMQDikMshFQLQzQSRPV3sNWcJDPnQ5orlQsLRTccEiyd3GR3YuH2KFg/XwDISVOCW8vIkBJSRSENOIYEJRF/tIn1zkMhsdO/QXHho8RzwckDYGKYi/GsJLIpOSh4NjWYzTP9XjDtW8j+KIpXAjvuzizq01vDoKowfxSm2gmIggn3pkG21FELUXSjQnKitSt0TS7UWHwRYij97Vb7p/m6QsPQ7CvRmy9918jipFCUGifIe2cwFmHVRYVSMqiJHcT/0iNc2FNtwBdGbI0pSgKqqqaqtwnBbxznoFamgqdFQjhsMKAFqBzyqIiGa5zo8w41EhoRabOgBbeh89V7NOWcZyjeg0aQZuzm88RdhxRlCAjL2QJIkkUef6itRZdabSLCSzEsWHc7LOxdZ5WMUsuS9LeMs1mRBDFyNAX+2HoOZAIUFpR4S2rQhdQtTWbWzssdPYQiICNwXnitiOIY0QUEISSMAqJVOI5etZnJGttEbYCW3NqsZRVSVakFEWOMRXW+qIwLzOiMJqihdPn1Fq0MYjcYsoAW/O8jTFYV+GcQRiLtIIgVKT5iDjy/oZCyLoLbBEywAmBpQKrGRUD+tstmnOXbU201jz11FM45/iO7/gO3v3ud09/9o53vIMbb7yRp59+mosXL3L+/Hne/va3I6Xkda97HXfddRdHjhwBfJt2a2uL9fV1du3axb59+6bnOXv27PSYfr9fZ7hLjh49ytGjR6dF2D333MP+/ft5+umn0Vpzzz33TEUWzjnuv/9+7rzzTu69996pcMMYw+HDh2m1WjSb3rliNBqxvb09/XtCCP7kT/6En/7pn+bOO+/kvvvum/IDNzY2pqj2ZEzUwUIIvvVbvxXnHE888QRCCO69915e/epXT489evQo1lquvfZaZmdnGQwGHD9+fMpfnKCOQRCQJMmLitOvxPh7LQb/PpS5k/e4ePEiP//zP8+BAwc4fPjw1OwYoNvtsH//1Rw58jy/8Au/wL//9/8n+/bt/Ypex3RfXXNsLT4p1ed/XiGEmBzwFRpXelttjccMspw2El2URFFEp9NhsLUzRUmN0TQarSvi6HyhVlUleZ6xtbXFxsY6Cwu7SJIWMvBWF842CZQA6ahKLzwxpqIqK29R0GqxtnYJ8AkezWabMJx4GVK/h6Yocvr9LdbW1gCI45iiKBA4wkARRglO5NhGQt5ZZGfzAltba7S6kkYcESiBIPStSp2Tj3fY2LpEr7eHZjJLK4qJI0EQCS/kEL5I0VbjRAC2Sau5i2y0zWB7FecaJA1DHPu2lq0L2byoGPfPU+iMTm8/cbNN2AgJwkatcpY4Qk8wVyFSWEpbkVWabhCjbc7yyXMMpDfGddJ7mE2wFyUEkVJ0Wg2MNuSlRooKJyQWhROKQDqKLPNtH6VABjglubi6ilPeBJopVyggDkM6zQZKCMa590bUxvo8ZCkgCNgZpxSVRsoErUtcGfoWlPBFmgwUVeG99qzx1i8TdGJSCDo3Kc5qy5q60LfGEMcJaZ5TVhWVthhjp61bWxeCZBlVWU4FRFPOqTUYq9HGkAQBZVVfh/Xn0drQbCiSZkSnsnTjnIY8yZkdw8DuwwqJMDUHtqgoxxuY8RdoRecI5CyCGOcEo1Szfe4iZWlQ3ukEa71FzOpOTNXeTzy/DxkmCCWpHPStYXtFc/rSJof2aW6+ISYtBkihENIwJfjX5H4lFVHobZBsVXElt3dy7JETz/C5s59E7nWEiSSIYuLEG6kbB1UpCMkxnZIjlz7L/uRGXrbvZq6cQqSUdHodlpfPYaOS3q6EaCYgbvjiTUqFc4GnzEhBBxisFYxGO3TEXtqthhdKOYHEgoCd0YBPH/k4qdjEmSVk5Kk2SRDSazUIlaI/TqfooJmIF6RChAE7hcVqhzVevCOdRhgBFWD9/Thp5Ve2grrtaYwjNTCqcoqg72Mn0VgDusjojEbcGhv2tyIaoUfElRQEiDqPO2CkHMWMYenQPlp0OWdPMo7GyEBBIJBKEqmIZtAgihtoXZDbMZV1oByhrFCxZm28wdZGiokyOrtSAtUgkAJqrm8YRSRJG4QjT8c47Y37FQIZCmQvYM+B/SQq4cSJ4xCXvqiWEEpJFMQ0khZKgChGFKWkMgZhKqxwVKZkMBxQFLnfqEgvGKkl84R1IVuWBZGK0bWwRgiNroQXWNUWPsZWVMZhra7bwJ6zHQYBOzubJFGCkrWi2IGyXmQngawYMxoO0aJgc63Nnmt603tvbW2VM2fOoFTAHXfc4dchIaiqik9/+tM455ifn2dmZoYf//EfZzQa8cADD/C+972P55/3a3G73ebw4cOsrKwghCBNU7Iso9FocPz4cR5++OGpeKTT6dBut0nTlN///d9nz549DAYDPvnJT/Kyl72MG264gV/91V8F4Ku/+quna+TnPvc5/uIv/oLf+I3fmBZuV/IFhRAsLi5y8OBBnnzySR544AFuueUW4jjmxIkTfOADH+D555/n8OHDRFHEnXfeSbPZ5OTJk/zmb/4m3/7t345SikuXLvGud72LjY0N7r77bt72trdhjHmReOTKMUFVJ8KYF154gZ2dHXq9HrfddhudTuelXYCvYD3191YMTirYhx9+mM3NTV75yldy4MCB6S+zvLzMZz/7WXbv3s1rXvOaL/u9/tt/+whzc3O84hWvmBo6XjmkFLziFa9gPB7zu7/7u/zgD/7Al/WeL70IDU6B8IvoKC2o8pROt0MQhfUELnCuLt++Qt/pRPmFk1za3qEsSrRSjIucMi/oNBqM2KGqKlZXV8nznF5vhiRp+p0tHglL0zH9/g6m5qJsbm4SxwmIHs5JTGinTv1TL646T3YwGDIaDTHGsLGxTp7nzMzM+mik0GckW+tbkf1+n52dTarKp3wMh0OiKAbXoNFJ/ARvFUEYEyVdJJKVSxdIxoZus0sSKax0GC1I0yGD7RVwjt1LC363HyiUCghVOE0WMcZACVZZXGAJIkGQdCm2L7IzOkerO0c7afr4KZlTFiXj4YhisMbcrlniuEOsfHh9EAjCWmXrv3aHqPlqlXSUpoJGggwDttc30F1vUuq9zOq2Dl4JWxlDmhW+2Ko5QYGraAWaTqJo7drDfLvNxdPniCJF0mzS6vTobw+QqKnCWghRo42STpIQKu87mAtv4yPw8gAhoDAVo2KEc03KMiMArBVYIbHGkTSaDAY76CTGGo2pEVN/n9gXxb4Z7Qs3XYuTqrJkbnaWYZqijaHIc3QzmRZ70hi/u63PM+WRGuOtP4xGG01eahbaXXRVTdXoxhiMLlBNaDZCTFghA8miHJJn59hcb5AToXRAUY2x2QaiukDCCsYEDMqYThmgXMXa5hbNZpNOLyKKJhsiR1kZkJAxZsuFONWu+X7gjMFGoKuEo+c3WdvZocpDjPPfrTCiJvbXIhZryGvbJG30FCWdbN/SNOXPP/ln5Pu3aQTe309GgihJiMMW1pSMnMZpiQgV46DPE0ce56q5a2k1WtOCUAjYu3eJz59+EtEUNBoxYRR7j8PKUTnPC1ZKEQYOkzjCyFAUJXO7Z2kkYU0JqG9MJzhy7ChnByeQQUg2HhHFnSn3L5ooy6WcbmzExKBfCPIwZLMypEYjrKVlFCEG66RX1UpbF5/e07LAgrEY7ShMxU5h2BgNyDIIUQK6MtsAACAASURBVBhlQSgWkpDDseBgQxHHIQ0ZoOriTgIpCSfKiiNFyV6t+NyTj7J6bh0xb5i5qQ3SoawnNUgkKlREcQMnHJRjpPAiH6MULoAgKIAWudnBKYdRFoFDCL8gB0LSiBpYoSnzDCclAm8yrxBQFhx59nGEkORRRkMEvhUvXe19KbzIQ0FVSbQQFFWKsAFZMaY/2PaIUKNBKGNkrRj2c6n182mVUZY5Yyc8X1gIMP4YZyXgk1uM02hdTekd2hQUVeZFImXOzmADoVTdcrYENkTYiiwbkmcZcdKkGTepRpObxP/71KmTbG1tAYL3v//9hKHfpG9vb08VwO9973tZWlqaIlt/8Ad/QJZlfPjDHybPc26++WaSJGFpaYmDBw9y4sQJ3vnOd/K6172OX/u1X2Nra4swDLnttttotVp8wzd8A7/4i7/Id37nd/It3/ItfOQjH+EP//APede73sV/+S//hccffxwhxIsKr5/7uZ/jxhtv5J/8k38yRde+WDwipeR7v/d7efe7381//a//leeee46lpSUeffRRNjY2OHz4MD/yIz+CEIJrrrmG7/iO7+CBBx7gu77ru/iN3/gNer0ejz76KJcuXeLAgQP82q/9Gq1Wi1OnTrG+vk6r1eLlL3+5XzPqou6JJ56YikeEEDzzzDNUVcWBAwemreoXrfVfYWDt7xUZ1Frzbd/2bVy4cIFv+ZZv4Td/8zcB/2H81m/9Fh/4wAd43/ve92UVg0IIVlZWOHbsGG960xv/SihVCMFNN93EH//xg6yvb7Br18Lf+n2/eEinGOU5f/7QQzz+0MdJz50lNAbTaLP7tpv4+re+mZtvutV/oV9hdHACNiyvb6CzlAxDf7DNcHOTja0tKuFbycaYOvVjZ2rmDHI6UYRhxPXXX8/W1iYrKyssLy9TVRW9XkWS+PSSaQKFMRRFwXA4ZHV1ldFoCPgiYTAYMBqNCAJJGIbTtuWE1D9BSbSuWFlZRmvN3OwsnWSepOGLOSUNKgiRUYzRfQYbl8jkMkHgJ1Pv3aVwtqTRDFGh9AvDlaq6OKbRaJDn+RTOF2LS5vGB8Hl/SJaOGChLoEKPpmmJNZokqLOUQ0AxPW8QBFMFmU5zhLNYfDGHECAkQirSIqcRdkEbqFE0nEXWKNS4yKfcH6M1M1Kze7HNUq9FKwpQdZqAwLdSs3TE1tYO2WjspeN1Zels3R6yjjQvUFJSaot1DpxB1Ekkxnn0QFea/vYWOl1j/zXXI01A4MtFZucWWD1/lizPUYGs7exqxa+10+9/4n1WaU1eFIzGI7Q1bGxuoBAcuPoqnLOkaVob2vrn0tSF4OXz1MVgpalKTZFV5IVmbnaeMiuxdcaw1QUXznwBee0mS3vaaFkiSNE6ZL5Xok+fZHO7i6kE2qX0Wo526yA2OMxICZ5aN5zZ3GL/zDn2LjbpdmKSRs3tEwLjDFUVEMoKJ1exWzNk8QKC0NsLhRUmNCjtUfWtYcLOYEDQrIiNJ95ba6cczLIqvSDIAXUqhph8Zc7x+eeeZ2tni/AaiyJEOA9RBjIkkS0qK5EiRzmDROMCQ5YXnDp1hpsPv+Ly9OFgbm6GOAkJYomQjnSYsZMWiFrF6/A+d4GKSRoxUSwIwpJ9+5YQyHp9dzghGO4MuXBxGdfOESJESsF4NCSKInJdsTUaE0hBXmoqYz21wXkEGQvKRWwZyaW04KogJEFQRiEGg7IOqXxqENbz22QlyJyhqnKGWcmyFailvXSiJs2kQdCJ6bR67Fk7z9VbKXHkubahDJChRCpBTsTn+jlHiaA3y3y8RTnbp9kOWNvp0zVNMF6FK7SlCguySqCdwGmDNhJrBNJqRBZCXzETRTSWZtjJLSIdoTJwiURbnwpSaU06HmCF3xAZ69CixKBx1pGrjM3ZDQIkRZHSMN2aguLBAqMrsjQll5aqtGAgK0YMxzl5kdNqtYijBnHYQEkf7zfxibXWb67DIKIMctJszHC0Tac9W9M7vO2Xc5Y8zxiOB5RlXrvSCCy+hW+NpdftsbWz4QVs3QV00iEMGvXxllarTRQ1CUJFmQbTuRsEzzzzHK1mC4fj0Ucfna5HjUaDW2+9lXe84x1893d/NwDf933fx8c//nE+9rGP8eSTT/Iv/+W/5MyZM9PNZbfb5f777+e9730vv/d7v8dDDz3EW97yFk6dOsWtt946NXr+sR/7MdI05bd/+7d58MEHabfb/Kt/9a/4iZ/4Cba3t1ldXWXPnj1TKtiRI0f4gz/4Az784Q9P00PW19fZ3Nxkbm6O2267zT9GzvGOd7yDfr/PT/zET0zRvF6vx3ve8x5+7Md+jLm5OcCvAz/zMz9Dr9fjl3/5l/nEJz6BEILZ2Vne85738MM//MPs2bMH8MkjrVaLw4cPs3v37mltsrW1xcrKCjMzM9x+++0453juuedotVq89rWv9Z/w33FX9e+1GLx06RIXLlwA4M/+7M84e/YsBw8eBF4M0345wznH+fPn65Zo+397fLPZpNPpcvLkqa9gMei4tHqJX77/F5BPfJbbTp+h1x8Sm4o0jll+/ll+/fHHedW/+Be8/f94O6EKL3vGflnD79AknvC7fHGNYnubYR5ywZQMd7apbEUjjGi122xteS6EtY6iKCiKYnqmJEnYt28fQkCn02Z1TZBlKSsrK4xGQzqdNnGcTHk2ZVkyGo3o9/ue6C9h9+7drK+v120IQ1mZ2lTa8wgvX7Wg0235QiIruHRpmfF4yGwnot3o1fwXfMGDJgnGNNohzSTxfEIhMbYizy0b2ynOdbBIDFz+u/V/X+bTTPy0aiNiIZBUdJoFSTOkGYUooXBOUpqcrCgoMwsEV+SCuhe9rLXY+vN01hEaaAYRwjiEcTjp2LUwTxJAWeWYOEZWFcZYynTM0GhvGSEkjVBy4OpFDi3M0mokiLCO30OAZNoubcSWTqfF9tYQYw1qop41mqysVblCUGpNYSrP7bMO7Z2iUVVFgCByjtH6KpeUYnbvHqTwG4Ok00FECf0081YiNbJorUDVyJ6/hzz6NRqPyfOcMPQpIEoplJhkPBvKqiJNU4zW0GxNeaSTYa3x1j6lJssL+llG0OlglGCQjUFKMIbB+gobF89xww1NL1hgiDaSUMYkcUZkcwbbOY3WPPOL++m2Y8K45duDylMFgszSSi7SShRxrIijgDBMkFJhbYmUngPX0zA7PIcNrscEC/4psxKpbN0Shsj2aFpFlo1xpcEEJcJI0BKNfhGKKoyZAipCCCptOHXyNMYq0NJbpziPtJZFhjAK7XJKW3q/T20QpSQO2qyvb/rCLlJMTrq6uso4HWO7luFohAgVnXabIFYI5XnFpoJ8XDLoj1HGGwyfPXuO6w4dxDNqLNZJVlbWfTvThiC82CdLc6qyBOGNlKUQaGOpJnZVprZ5MiVSZ4zChGNZSiMaEQmHloYQT3UQVqBQXhSCxhpHoUtGecWJUrA1u4swbOOMxWpNPrZQWJrDbfbEk5SjAAKfkGTChGcGJUdFA9noEsSSuIpouxlakUbbkmgQ4RqSKjHgSqwG8gItNBaLtiUUIfmFiPRikyBtEYkmQRywFMxTpGPKUwOKXRnN/QYtSzJh0c4hrKdLmEpgK4UrJW4sCccN2q0eCtCZRYwkxA4CiwNKLNaMcKK22dGwMdggLFq0212SqOmzhoPIC02k90H1vFimTgEeuXak6ZjxuE+z1cE63w3pD3fQuiKM/OZViQAhVc3j9dZfRdlGyJDtnXVWN5bpdWaJoxZxmNBq+oI0ChKUDClT58VG+E3ve9/7Ht757d/GF7e6pJQvMpR2znHjjTfy7LPPcuHCBZaWluh0OvzQD/0QQogpYPCWt7yFF154geXlZRYXF+l0OuR5/iJlfqfT4Vd/9Vf5yZ/8SdbX19m9ezczMzN1RKnlxIkTCCFotVoIIdizZw+PPfYY119//XTuWlhYmPINr7SFUUrxPd/zPbz73e/m/PnzWGvZt28fnU7nRXMWeHrTj/7oj/KBD3yAixcvIoRg7969L2ntftM3fRPLy8ueZnGFCnhmZoajR48CTK/1x3/8x7nvvvumKVt/1+NvXQz+bfrVk544wPb2Nh/5yEd4//vfj3OOz33uc0RRNK3M/7ZjwjOIouivfXwUhWRZ+mW9L1xuhWdZxgO/8H8x94mHuPvoUXalXgUkcLghXLu5yVVrW3yyLGm227z1rW/9ytSC/io8iRu4tLZFsjUijBQ7+DitQMAtrzjM3V91D//Pxx7i5MlTXplZX4GU0G63WVzcRRgpdi/Nc/NNN/FHf5hz6vRZqqpke3uL7f72NGvXF0JmWmglScTefXv5xm98K0899TSPPfoYWZ7XE0cto/efBkLAgf1X8aY3vZGTp07x9DPP0t8Z0d/pMxqN0DNtnwBR+xRaXTI/s0izvYuoOYMKY6QAp0uKckhWnSDP6pwwfTl6TWtNnudTU2tdiwq0qcUFlUcoFnftIW7OEyUdhIrAOUyVkhdbDDYvossMSoMrBTawdVKLZDQaAVBYsNpgypKOkDTjAKNLb2KcBCwu7eLqpV18YXkDEcbobIyxzpvv1u02i2ZQWR4/epoLlzZ4zR23sKeXeKSztuewzoH1BrqHDuzjzNozWKOxRqEllOOctNRTA3EpfXqMCBRGW0xVYYuC2GiSOAThaMWKjeVzGOmI4hYWR1EVhFHAcGMb52EfjDaEoblsOo1fjEbjMdpoWo0mcRwThF5BK+tjrLXEWlNEJWma0u/3abVaVySQ+Ng3XWnysqI/HNIfj1nozrKxuUYU+daSLQpWz56im8Qo18K53HPEhPCZrgiiEDq9WRb3HiDqdIhjkGEDJSNPincpqtqg0ahqA2xVG3U3kTLE2txzGJUjjBzdsGQoRlTxboQVYEBYhxMFIHHW0dCKMoUizVF1LI0DsM6LQOr5Uppa3FI/sUVekI4LVBXhthR6rqQKJVUhyXQOboAMNIQShaMqK4Jsjl48T56WlFVFENXvhWNlZQ1dWbJRQasjaXabJEmEigVSCZyz6MrVRZ9guJbTqRT9nRFpmtLqNKF+Qjc3tolVk57Zw6bJkSpEUlJmGUiv+pfOc6LNxOLEVNiywOUp+23KFgUbRvHsoMS5jAVraanAfz6B9MrvuhisKkOWVxwvKi4kc5ioi4xCwsCLcSw+xnE5mmFUptzmJAekI5SWMAhZs44juYbWPCpuoELHHIvsTg1KWPZ2d5NnOcNLY2++PevQGISWGFGihcMWAYPnQ8T6At1ggUajFqoJiXCCys1Q6j1ky9sM+5fo3lBhZyqqKiVAYI3nxzIGccHRG86wR7QI0wAnLLNujvFGRplmuL0wnh2RuAhtDJbQI6qjBmk2Zqm1QBI1iMKkTuwJp3FxQkhwtcejdAg7KcG8yGqcjnwHQ0iGoxFRENJqtmornRBZxztSP5vWGuKwRRw2SJIGaxsrbG9vMTcn6XVmiKMmYRgTKl+Qoh1V7ggbXogYx3GNtv3Vna7Je7ZarReJN6/M7p0c1+126Xa70z/7UgklUkoWFhamUW9X/vkXn3Nubm6K6P1Vx115DVe2dP+q8aWu94tHFEVfsjb5UtcwMd7++xp/42JwgoAAf2O/vkkx+MpXvpJnnnmGD3/4w3zv934vly5d4tKlSywsLHDo0KG/6SW9ZPR6PbIsw1o3hdL/smGtrXlzXhX15ZAyJy3pv3joIeRnP8erjxxjNk9xKATe1sMhUM5ycHOV/Jln+fT//bvcc/erWVz8yrWonYDSOraynMppkk6HPXv3sHb+IvuvOcA9r3s1czNd/tk3vZnPf/4IR48eY2trGyF8DvPMzAzz87McOnSAAwevJggUb3zT1zD6wz9mdXXd86Bqf6sv/qTiOOaqfXt4/b2vo9dt8dWvvYer9u3h2Wee4+LFZcZjX3QHQcDc3Awvu+Fl3HbbzbTbbWbnZ6i05gvHTrK1uVkXbNXU7zDPC5ycozczS6PdBeXbFBKQcZu4Ncs1yQwnjx9nmJY0uhWR1lSVL0In6Iy1Xjhz2eOwIssKku5BuvO7iaI2VjrA84aipE3U2EUoZ1jf2iYtMxq6hdK8yHQZoARsmWOqnF1zs8jYUciSqrR0F2YJIsEdN7+Cc8v/k3Q0QjVioqThlYnq8uTsnEUbx/lBxp/9r8e49+5XcsM1+wmERDiHxZvfykByw6EDPPX8Mfp5RqUN2hkcEEhvL4MTlKbEFinWWSIZeo5WmbJ39xzNmQSrC5RTRCWcO3Hcd7KdJktTsmEfZzRllnmaQLtJkiQEtVL5SuFHp90hSZJptrNSLy4Gp7t6B6M0oz8cTZGACWewKAoG4zHjdIRSigsnj7O+colGsxbr4Og2/AJ55PGC7XXLoRsTgsYIXVVUlcWpNnNLVxF3mkSNyGflBgky8JmuzkQ4CsKaa4n0z68QARCB0DiJN68WOSrQhNYSBInPZdAGpyuPEpsQqRrIUBDEBeM8RURB3Qq3OFW3wie8OmNeZLFijG/xBbZNutEindOYISTFDLFrgYgQoqBQOWkypLQlS+4giepR2byej/0ZrYXxKPPZtCKg0fDtYpUIHyMYekWpFAVYR9K0FFGAkgnOSdIsozXpqDj//CmXMMsBqsELID3SWxUl1IIUjw15gYgzGlsW6CJnrkq5vdNm0JA8uZlyoVBUg4oDZcbuJKajFFNbQgO5tWxrw7lKsNVdgNlFkrjlP0ulEEhC57wXXhSzWTZ5dLyFKxU3hgE6EBzdKcmDJjIKEUGAko52M2EmsvUmACqjaeoW2yt9tC7Q8xodGgIczkSMTijU6iy9xgxBlBAHMULVsZlOoSgIjSaW8wxTxfALK7RuqLCtAu28R6odgbsAs/kC7aRDUAvSQOKMpmO6jPOU/pkNMIpiRntBiKggD9g5IehG80RhUtvW+JxiGcjaMiqoBST+OzfWgFE4FxI4SxhogiBnNBpgnSWJE5qNJmGQEAUxgQzrKMPL8421BiO9RRbSF5F5kZNECVGQEMiIoKYK+GAjQZFVhInfTL7U9fL/H/+Qxl+7GLTW8fzzz/PZzz7K8vJFrHUsLi5y5513cMcdd0xVon/ZmKB/zjl+4Ad+gP/4H/8jx48f5xOf+ATGGLIs484772RmZubL+oWcc7WE3LK9vcX8/PxfeXy/3ydNU66//jqAqYRfTOjQkx7j1ATrCgzvi7h+rv7HZz/xP7n19Av08gzpQAtD4KRX503Pbjm4usJzZ8/y9BNP8XVvfqmx5WU2xhf/qbi893JXXBvCN4mdYydNyYVgoAzdSNBoNrj1psO89mtey0yvg8XSaCfcfc+dvPK2W9npD9geDAhVyOxcj06n5XfDOBCOPXt2843f+BY+9rGPc/7CRTCXye8Oh5SKRhKzf/9VvPa1r2bvvj044VCB5Lrrr+Gaaw4yGGZsbGygK8NMt8vsXJc4mez0LM1Gwle9+i4CGXLsC8cQUlGWhqLIyYqcPCvpdBcJ4pA0S4HA52/iMK4EHFHUZmHxaja2NmhnTcIgBCFxzqtK/fc78Tg05HlJlqUYbZndvRcjYJgOawNob7RqjA+Yb3TmaGvJYDikkTS9qhqJNg4lfHumcpCnY+bbCbe+/BDtZohwbTrGYpzm3NnTzC8sMLcwjx6XBI0GQZz4RAepEEJ5zNRZhLVYJRhkGR//zDPM79rFVXNdJA4tBBgfHzUTJdyyZz+PHT9FZixxwxeXBJPi0hE4hzUGW5UUWYouCq5ZnOerbr+FSCnUYIhY2SYOAkw+ZmV1E2s1Amg1GyzuXiLLc3b6O6TpmCSJiaPIezE6L0iYm5slTmKi0Atqph5yTPKLdX09nsZgjWFze4udvqcOWGfQuiTPNXEUcWDf1UglWV5ZYWdrneG2LxwW5mZZ6LSRMqTY7vD5TxpOPrfCK1/XJOoUDMYhhVik2WwSx02P+AUhoVKIQOFkgCihsBGlAWMmxZ3GygwZVGhT4TRUGJxW6KokiH3hbp2jECXGGaxV3ltOetPgSCnGxZB86J+OwFlCZXxLtFZ4CFtNxcYOhwoDmq0m7aSLHvZoXeyyq3eAmWAPjaBuM1koqpx+usxWfoY9C9cgtD+JVHI6WzjnBQKNVoOoFULkCKVEqoA4atGIW2hTMq6TWWQIQSMkairkyPM+cXaqAoniGJ2WdOMl4mKznmocpixQRYBTCisExlkwzieC5BnhYItDvYTl0rAiWtiFDh0ZkWrDC+kOZ9IBMzajrXwySGUFQxWie3P0uwlRp0fQaCPCGFWb1nt/SsAphDFESpC7GZ4Y95lLLHMaljMLjcDH/0lQMiCOIpqRqDcljtAYQh0SZIqV9Q3KIEUklkpZ9FpIdbFLL5khjBPCsM7PVnUx7wTCRnWmsqYluuhxSf/smGS/xYoSWQnc+Zhd+Ty9dpcoriMcRYgT3thZmco7EKSW7dM7lNdmKOUFMtVKRLIxjwqadWrLBA30ryDwSKkKPBqsdW2340AKh6oLxygISNPSK53jBmGYeE/UwKOCUlwWnHkBj0II7Tc7OGziebtRWAtWascC/1LewLxwfpms3UU9dvuV63P9XQ6/gtmafuTvjclziRP171X/pKYSiS9ab/8xjb9WMdjv9/nlX/4Vzp07z913383Xfu3XopTi7Nlz/Pf//t/56Ef/mO/+7u9i7949fymqNhgMOHr0KEopXv/61/POd76TD37wg/zKr/wKt9xyC9Za7rrrrq/ILzU7O8vdd9/NU089xRve8Ia/FMGchGq/7nVfTbvdnqKC3rTZ39ZOTMtCQGDrm8VPv1e6cfk/z/Kc9fMXWdrcQTmfAhI5h8FhBH4ywRE7cEayZ32H06dO4NybXvLZido2wN+UU61ejS9ODvL/Jxy4encmgf5ohLGOtopZiJp81VfdxaF9e3DS39gKha4MFy5e4Ny5C4wGI4zxfLUwUszPz7J//9Us7JpD4ovCvXuX+LZv+2Ze+MIJjhw5wur6JpUxNJKIpd1LXHfdtVx33SHiKKxVhQJrYXu7z5nT59je2CarChzeiqXdanL11Xu56uq9XmUsHI1Gwutefw/XX3+Ic6dOMe5vU5QZW9vbKBlgrKaqoNlsEwT+e50o55y1ZHlOs5mgtgUba+tI53C2g4niesPipvy1oihI04yNjTW63R66KPwOut3238VloRzGWtLxmCSOGQz67GxtwozGGl2LT/wdUaBQSYvewgwLu+eJ62xgV0fuFaXm8y+cYm1YoFpdgsgjbDL0Br5S+InUOOf5YbVicJimPPSJR3jXv/gmlHCee1Rpzhx7gfNfOMN2luGCgKTVJkhin3Us1RU7f585bYMQJwKkSNm7dx+zC7MEwvu5FasxCM8pbUbeqLzSlrlul9lum327F5HBIdI0YzhOKcrCF6Zae9PsMPRoZOATS8IgmObyevuZes1yzv88jkmSBOMcSvkFLGnE9LodkjimKkqyPGduboY8y9DGYjE06vdBSoI4IYljsq02D3/0Atfdk7NcGHQwSxI1kbXliAjqNrwKPG8ujBiHi4zSS3RbGUUUg3QErkDpDKcFhc4pyoqi0GznMWJ2ljhJsFgqq30xJr2NicQghQMlWZwdE8t11rdnUMUiNmpShIGPwEAQ1FYfKD9/NOKYXrfL3qXdtNOIud4ivdYCjSgmVAEiEDgb4GxG18zSk/uxO5YqKGm3WsSRj48TgJSOOGwiSoFSDoSun1+vbY1EBMKhnPLznA2QsqCyGdpaoiTG4Vu/DljcNcfy2gWEjZlLljidZhg8YujybJpNrKz23NeqRI62aSrJ85mjanQQ7SZKBrSlQ1iLMbuwRcrqzhar1hA2mjR6M3TnFxinKWIwIEiayCjyBt4yqJ+NmmJiHZYKiaVMmowMPL69xh27IkbG4JRC2hCH93uMg4Aw8Qg1Nfoslc8pns9mOb88IJ3NECjMGceCnCUKYyLlW6JhUKNyaqJ4txhhkEiwjlbQY7zZZJgMsMmIaDtiLpul1WoQJaFXCdexi845AitRlVcxa9ukGJesXOhjZwzSKMTKPO2wx7BONZFyEivpjalVoAjjgCSJcDiyvMThsEZ4no8VCKl8LnEQkYQtQtXwCKOKkNJvjGSN2oNH7YUxmHrai4ixLqmL0KCmp/hrFqL2MlUBVT5ZW91UuejEP4QyaVK0CpwwUEM10kmcMPW67/0zhZD+83KuRkDlP4Df728+/rfFYJZl3H///czMzHDffT/8IuTurrtexVvf+mb+x//4PX7qp36K//AffuglffvJuHjxIsvLy1xzzTXs2rWLb/7mb+ZDH/oQDz74IOfPn3+J/PtvOybtpre97W0cP36cRx55hFe96lUviWzJsmzKU3z7299+xaLpaoTTtx/9ne0LLsf09oFaDfjFoyyr+oHXSEALgXEeARDu/+XuvYMtTe86v8+T3nDCjX07T+ieKGkQyrBILCDiFgIvLCNhkOxFXpehcFFEURiqWLugTBVVLlNovWWBVcZer0nyYBsbVjYKrFitQAihUU/uns7dN9+T3vgE//G859zbM6ORQNJ60VPV1fd2n/OG8z7neX7hG2TH0QRLDN60byg74saLW9Si66HMz84iDAwvvCIxDxPj20bTEtdYZtaiBjl3nz3Z3U88RlFUfPozF9je3cMkGUlviJY6EiN8YG+vYGfnAmfvPs2DD57HmLiQaqN4+JUPcuau02xv71NXFVmiOHbsGMPlYcwW5/mU9Vx87jIXn7+KEIo0zRn0+vEOnKVtHE8++Ry3bt3mkUceZml5CfAIEThz+iT7W5vcunaZ/YM9ptMZx9aPIZREJ4aiLpFNtFpa2PkQBTmNgJW1Va5du4r3lnVryfI+2phDnUHbMCsm7OzsRGcIqUmShECU+ZhLZ0QcW3waSZZSVRV5v8ftzdvUTcXq6jpm3uJFUIWASQS3Nne5vbPDg+fvBhwEhXcar1ouX3seqT3KBKQOcVav3wAAIABJREFUKBUwisi21nHDsM7TWrAyYBX4RHJ9+yY397Y4d/o4VC3P/vVfs/ncdaQecGNym5AbkkRFH2QNWh7iczwBJ2NCElINaB5/9ikefvBuTqyuoNsKNxhSlBUmy3jt617HztZNLl+7QZLnSJ2A0pgkZWMw4IxW6CRFCMnjjz8ORAD73KJMSIXUJlZXEoNznlBV+CCQLiCVRwqFMYq7109x9uw9UT+ubWmaGmctQfoYICY56xvHyfKcJEloygorFDIfoN2QULRIkVBXp3n6EzMmx8GcGGKUQYtAIkF3NnuJNCRKUUtHb+Uct7c+w3IPtILgLdo4lHQIq6ldwM48sxFM61P0Q05TleAFtB5pBdKCdCCdIniFDY5l1fL6VwiefO4mT18vafQqKumDkUgcoo1PZD6khHvPneXWrVucWDvDcDggS3tkJkFpvdjgg9dIZ1HCU04KprMR9z90V0cKcUQrMlhbH/LMrR1CYhGtwFsZhdybkpkX2OBobYcntZGQEZzHJIphP9pLBgQIz8lTp+Gvn8XZwJLuo5oRVAXtdEZIInlDIKm9RVZTVn2LMoYiGRAGK+i08yQWkiCjw4evClxj0cN+x4rVNM5xsLdDM5uSpT201Ggh0QS0gsRE5v5cm9I6RSMNWkqUrtixgt2qQvgG5VsUDQKF8RIll0gSg1ayI7u1+BBQJiFvctJRn8ujWyiXs1GeJRnqqOeuBFJ330uj0YkmeE/TWkIbWfkoUErTq5e4dvkyZbLLifY4w6UeRieouQd3V2EUAlzbLlj/qUoZ6B5iBzb3t8jsMqfCCqKv8NITnWAcQjiEsECUjVFak+QxsW1ah5B+PhFBOITwiE7IVCqB1hKlBEqBVgFtRCfFo7oAOUQ1tDYgVUAFOmtM33WHfFxFxHyeRcxi1ThiaupiwPp3pCoY9+9AmCsCBygm17hx/c/xvqS/+gqenS3x2Vub6OB407n7ed3dZ1HE/d93RZevpCHCy0hYhxD4/d//fS5cuMDP/uzPfk5Ao7WO973vfVjb8qM/+qMvWYn7rd/6LX7oh36I7/3e7+X3fu/3CCHw6KOP8thjjwERGPr444/fwfL5Ysfu7i6/+Zu/yaVLlzh79uwCOLq/v8+1a9c4f/487373uzl27Nid55x3hLu2bgzH5GGnWIAT0UfyhZBEZx0/9o/fzXd98I+4f2cbQmzleUF8PWC72p5V8MHXvpaN//zH+IH/6F0vvu8uiJxXI+fl68Mqdeg0BbuG7RHcxl9c2eRPPnsFRGAjMzxiKm5ubXJgGwarqzHomcxITUKSZCS9HjpNuXH5BsoblnoDEqPRWrK2vk6e5Qv5GWsdo9GIyXRG0zZ410YpAhlYWh2QD1PauqaeFezv7RFkBNM3jSO0ln4ILCWKIASj6Yw8MSwvLTEYDrpKXIgenMEjlVy0d4WIoXTbNgtSSdM0caHWBqlkbI907KumqbC2QSkT28Ted5gyR9PUSBWZt4P+kDTtkaXxfUqpyLh1tiOXxAClrmtkpwnmXNsxZgeYJEWr2O5uXMUHt/4MdM1yf8jq8jLSu7gZ1zU+eGpn8SaJ1l4SgoPgBa6NcInjxzc4efwEzzz3LKODMb1+Hr1zCRw/scJgkOEbz96tPfZv7yGkYCqjo4FUCq9EtLLqXDdW11bI+zlB2Ljw2ygn05YlfWMY5n3uPfYQ46fHHFteRQtB3htgbYOQgl6vj+hwls67KPjs4cbNLfZHJc5HMHiWZSTdpjfHBs7ntO0kZ+qqYjIZR0FxJZhMdlldHbC6shalg0TXpOoY2q3rPv+6pm2iqLkIgrP33EM2HFDdfpZy6xLOWUJrGVUlzxUKmaxwbOMEy6tL5FlsjymtkTIgvadxjmpWMd15hmHusc1VlvKaLIl6dUIqLCCaQF17ZnZIxYDGnaYWil6/Hz2VdWy3yU4mp64dqt0l0xM298fMZg7sHst5bJ1L7RBIvuMfvCOuFy5qJ1Zlw41bmzSNZeu2YO/mMmmimc4mZMkyeZIglGJcP8/pexuWllKM1hzbWCHL0mgLF+K6MisLtra2mZltrLCURcXxk2usrPSjNFInL+OtxzWesmhQZYZpB5heynhaYDjJpScrErnMbFJjVKDKt5lyEGEFsNDXlFLhvIWmJhWSsvGMfENZ7rDUL2O3ZGeH4WBAlqSI0MQWpYxbq3M2SrOUDcI7vEoJZoXV1bvopUskJsXIKKXiQxSubhpLVRdMym0yucfsYI8zSxnWaJIsJ0kT0jSj11/l2Po50mQ9Vi7rmul0RgiB02fO4OqGWV2yVd6iLgV+opEClpajl3ti4uesO+tIBAtRdeccrW0omyn1rOL2wS10P3B65S6W0hyhJarrMAQiLKK2LcVsRl03nDt3DqkUdd0wnc3YbXdoK0uYZUwOppw5dTeJyUiTtGvvxgppTE49Advpd7ZUlaUopmxv7RCCZ2V1mSQ1SCXI0jTaceoOO6tUB8vosMnWRlH4pqGpKmazGfv7B0gNvV5Grz+IbeYk7aqcprMjVCyvZRw7NYjFCXFYbfv3fnRwhyBioj46eJq/+vR/Q3/pOjJkfOLqOTbPficrpx6icQ3tlWt830MP8/DJ43E/j3Xhr6jxspXBoij40z/91/zwD/9nL2uGrJTkHe94Bz/zM+9he3uHEyei/9/R4GYuHTNX15ZS8u53v3sRDN51112cPHnyi7ubF4y1tTV+8id/ks9+9gKf/OQn+cxnPkM0yH41b3vb23jkkUfQWr9AhzBE/8UgaaqGixef5+atmwThOX3mJA+cfyDa9YQo0XA0EwohsgYf/OpXc/Gzj3N+dx/dgfllF7XNXUklklGacfP4Sd76Va9+6RsQUZdMesnBwYhnnnmK/YN90n6Ph+5/kBPHT4KM1QCxuIdYldsfTQjWMhws0Vewefsq10e77EwmpDc3WR306ScpUlU4MWWyL8BoZqMxwWcomYLUSG0YjRtmlY84sAUBA6RMUVJiraCsZuwfbDEd7yJsg/C287SNi2fjHCPXoHRG4xwqVbRtS97vM+wlaBHlVeZ2eI115MMhS+tr5FlOcIFZWVIWMyZFyWQ8pq5rnHOkacpgMGQ4HJLmOWnXfkyzhKapqcqapmmjrI1qCKLBQ8S3JV0bx6SkaUKv10NKSVWWVHWNqyrqomA8nVEWBQFPlmUMhwMGS8v0+gPSJIu6V95T1hNOOYEyCkxLy3aU+pEBLxvK2QxtFCv9pUXm7mx0cSlcyerAcPdpzfJyg2aZxx+/hgklPd3DZIqmrdg7AN/C7mSPkAfy5T4nE4NWHlToRJl9tPua1dTTKyz31kmy6EsbVKAVltLVlFXNydPnEKaMTE0ByyurKJORJ5pUJwuZBmtbGtsS2hpRt2wdTPAhY7i01uEUDaqrZmkdMXLOdXqSwuKkxKqAVSnTYoaWDevra/SHfWSaopIO1ycOg8jEe7LuGHVTM51OGB+MaUJgKc+o5AgXbuCDow6WvckMN1tj5cQa64lmKBQpCo1AhYDwDmclxooosN07wXRaM9u/zZQRwzyNhAvtkUHhqbDOM6saJpNtbCoYDDboZz0GQWCQaKkRssPrSYs1xyhnOao1UI3w9QwRLGmaoBMJIkHpGmujcLZvYkK1uiwZT2uMDFCeYLJvGZdTRmJMojUuBJZP7NLPc/o9Qy8XyDDD2xoR1ALakOuWsxtLVM5Q1A0TUSA2PScGp8h0htIpQio8LW2oafKKVrXUVctkNmY2mnD92kWK7XUMp+knJ1Eyoa8cq8OCQS8jS1JMlpClGUmSYtuapi4om0DV1KwUBePKkLdb3Nq5wt2pZjWx5GlKLHaqhdak9Za6dRTaU01m9JKExha4nYbltXtJGMZ2uTh8fdHWJMU+K2qHpWTKptxnSa/Syw2Z8Zi0Ik1aMqlIUklIc2gsKgh06phOp3ghSVaGiKZPmqWMVMnt4ja1rZnVnqAa0D2yfIk0jdCWmKwKfJA4J7FWYqynyTUqPUtVFWxsHEcnkWwSSf9uUZGUQqISR1vVbO3tc+7ceUxmMb2EQTVkWk3YExNmpWN4zGASTWJU1FNMEpSSXeAWkyTaFiFapKoRzBD9guA9apCT9Q1ZlpAmBmMkiREkiSJNEkKAum1pW4toWkLbEJoGZ2oEJVQzVGLor/fJc0mWSowBYwJpIhbH0ibuaHMs8N+NEdu9sVCjCLRcuvh/cvLEJhsnlqgqjb+e4F2NnU3QwxWa9WWevn6Nh08ehyBeVAT6ShifMxgMIXQiw5ZXvOIVL3sQIQRra6vcc889PP3005w4cfyOFqr3fuHHNw8GQwh84zd+Iw899BBPPfUUDz/88Is0eb4UY65W/prXvIZ/8S/+F0LwvOtd75rf5Uu2ZoODD3/0w/yr3/ld/LWrrExmKAT/72BIuP9u/sGj7+Abv+4tSDVv/94Jkvj273obv/Hxj/Ps7Ruc294m9XJRjo54w8BUBz710H2svP41PPyqVy0+kzsrlIrReMLv/vbv8OSHPkR/d5dhGfFNf7A64NQb38gP/OB/zF1nTuMlHTIoBoPWBoQN7G3tUPmSE27CdDxhSWjOrK6xNMg7P86omRfxPhafKHYPClxTYRON1QYhPEE6fGCBloguEo7WO1rnaeqWUFcE4VkZ5GRp1JATIZKPbGsZljN2G4fKUkbllGODZYa9IVnWSXt0gXkIofs9YlqUUrjg2Ny6zfOXLtI0DWmaxqqEktRNRbFdsLu7zfHjxzl16hRS0jFZNZHjC4jQ1WS7im8A4eOnJkXsckglYpVFwXh8wNVr16jLqpNJia+tipLxaMwtdZu7zt7D2bNnY8YuYiKR9BKUAaUiO9XJ2IZTxiBUn8l4wsH+uJNh6IK2qiLNEk6cXsdSMp61CO04d/4unr94mdGoJmszdKKRSMb7Y0IILK8NyXopiVaEpLsPD20QuBaUSFEhsH1rk7X1dbwAby1NFQWuz9x9ht6ywc0K8myZg4Mxq4MVpHBYoJ02lGVFIDLATWoITlA1jqqy5IMEqaO+WWyJxWpRmqZddbZhThiRykc3GK0pbM1gxTAYppGMkmYd1lCCUh1KFaR3KO8iK1pEBrV3lmtXL3NsfYWiqNkZTbCNY79M2B17BsOU9fVj5L0+WZqSpAlai07mJrJOrWsQKiWEIW3pkMkS02lJ0TSkpiTVEaHhncSRMakCdaHIM8Xq8pBBnpF3OncxgFV4wKo6ym4ExdB7yrJk90DgrKQeCGQ5QosEpROCb6LTixAoIZBBoDAYGRjkOU6mJEYzqW9Rq6tIM+XE2eP0+4osjXaDidFooxbVHgJ4r7DCQaMJScBlPUYHu8zKgmyQI1OD0oaWgHAtSkSjCiElSgS0EAyWWk5v1GzeuogvDEbfjfMeJTr3Gtnpx6WGfi+jKDytTRAyuncoIQgq5dbuDkrA8qBHL9UkiV48i7g4gPOKRDhSGg5cn6qpGC4FprPb7OxWDIbnSXSsejvnaW1DVe+Tm4LlZIptaxwObxu8A5RENIFWVIgwInUtUmuiw5xHJwapFaPRAev6GHVZc+3adSaTCdpkZFlMCMuyYDqdsr29xXAw4PSZM/T7fcAfUaoQBJ9DEkhzS1FBVdWs9VYX/MOm8YzHEybjCU3V0NoG6yzXb1xjeWWZ4WAYd4UgojyME6RZ1MMUMsRqtoY002ij8TOLs3TtWhFbwsIhJZ325Xzt6fpEIv4RSiK1JM06FyQs1vno4y08Qs7/xBa5kN1bJUf+L4D0qESS5kkHS5pDmP7mWLqXF6H5cg2x6KB5H7h14yLbt67x6q9eZtDTlE+Nkf/9/8Vw9RnGJ04SXvN6/Jk1lu96MF7zgkjy7/zCv6zjZSuDo9GY1dXVBTj+8z269fU1RqPxi17jnOMnfuInmM1mvOlNb7pDZ+g3fuM3eOaZZ3jlK1+5eO2FCxdYW1vjzJkzXLt2je3tbR555JGFYvgXOubnOYyvwp2/h0NCiCcgOjmN//V/+p/57O9/gDc98Tj33t4idRFb0KiUZ58+zh89f4XNtz/P23/gnUh9GAjOz/fwQw/xDe98Jx+xJbPPPMWDN6+TuxblBY2SbPdynjx/P5fe9DX8+H/6wySpetFnFkJgd2+P//a/+i8ZfPJTvO3Jp1mZjUgdeCnZ72kef/4Kv/bEs/yTn/sZXtF9fgSJFxB0wmBlNRI86gOy8QEDKTm1sc7yYECWZZiOJQdh4Q2amhTn9pkVI6RJENJACPiQ4DtHj0MDdEvTNjRNTVkcMMgkx1eX6GXpgk0Kh20VkxrkdMpoMiFPErJeTpqZWDHpWjHze29bC0LQNi37zT5PXPgsuzv7DIZ9lpaWFsefO/zOdQh3dncYT8acP3cfA+sX5/beEzqipAvxeYaIYMJ3LT5nPWUR9eUuXnqW7e1tsixjZW0FrczCeg/ivbdty9Vrl9nb3+Ghhx4iTVNa50gSjUgj3k10uCfvLFJEnJh3KZPdKW4mKZspSQ79pYwkc2ztPI4PMwQBqQzG9DlxdoViLBjvl7jGkSd9mtqzcqxPkil0KpEmAsvnMi7SOWxXWXZeUtU1k90yCuoq6A8T1k5mNP4G1288yZK9hxPJW5gWM4qiYjYecfvqDraQ8d5F3LylhpVjPfRQ4N2cvBOQkgWOSGtNL09RSjP1RD9k28bNSUikCPRzw2AwiNplSYbuIAh63l5mrl+oYtKBjc/Lp4TegKKo2NreorYJheszmYwYTxqClPQHK/SyPAZLSUJiNMbohUaZsg7ZxiTOJo60nzEZC2wLLgjaYGitIcYrnYyHdFTBcmI4JOmqYVonJIletEpD8LQtiE5kOktjBfn2JmTC4H1O6zx15xUevI1/QjcHCbgQwBvSJMeTImS0r9vevcTdD8JgYEiNwWiF1BJtZJSlMSa2f73H2RaExwdNEiBNPFonHOyPOba2Dk1L8AGcBe87XdK4CkaKfKCf9Vg9lpNkDZefvMrlWyXZYMrplYATURQ7eEfbthRFiW0t3rdE3bsIsfGuoW4cG8sZuTEkiYjPQqmOnRvblM76LowI9D20bdyql3sJ++N9ptPnqOs+Sg/iehUE3lvKYsL+3giJpXUtU1WhjUKrFiE0uvHUFnwQJFLhpF8w3I0xTKZTmrbl+vXr5HnO+rGN7rmqxTo3l01qmoZnnnmGEydOcPbsWbSWtG3bvUbiQ4LRlixNODjY5/jxDaqq4tq1a4xGo4VTkU40yqjOAUnxxBNPkGUZp0+fQWtNVbeU1YzgRXRlCYeOLm0TRbmdi/MkEgY79HgQ+CDwWIKXca3rMH7zzlfoEvOmwyxa12nSzokfQRBCfK/zAR384n3x/w7JaLF40MZf6Mf97/Psx57YwQpBsDOa8dlnrnFzc0Qv1dx3/iQP33uSVEucCMggX1ad5IsdIkTc//NPPMX+tefZ0H+Pz/z5Z1nO9nn2/Z/g1NUJg/4lqvAs0+1PMc3uZvnE92DtPSjVj8HzIXjrK2J8zmBwLrY4mYwXk+nzPZzxeEy/n/PCoNEYw6OPPro47tHx5je/mbe85S1HziH49V//dR5//HF+7dd+je///u/nO77jO3jve9/7t7i9zzPmcVxHG0cGPvKhP+XCB/6At/75X3Lf3naMHrq76VvP6y9fZWVc8RFhOHPvOb7+73/9Sx73O7/7O+kNh/zR7/0ezz71HCuTfZK2ZdZLub1xiuU3voGf/E/+CafOnn7JGNtay/v/+W+w8Wef4GueeIJjZUFHQUQ6T2/UsPH4BT5eNbzv1/85v/hf/zIrK1Hs0gNeKNJejnKeXDZkdcaxlVUGnUZcmqYL9wchYnCntQbRcvzYCtdu71FODzoya4ruNOLmrZoQAq2NWLpyOka6itXVAb08I0sPcWNwGAwKCUMfaJuGVBuSrp0oZQwg0jRFSom1lhCg9YGiKHnq6aeYTA5YWVkn72ULj+GjwWC0Q7MYoynLkosXL3Hu3DmSJMFauwgI3RG8j/MO1dmFSRkXd2stN27cYGd3J7ad03lgaxZM30CHF2pblFJMp1MuXLgQ8a4mYDKF0EnE+UmDCw5ra0KwKB8iYScFrKKYTnFiRuk3EekIk7iY3atAcAJfSYLNUWEZnR+nKfu07YAsT9GJXgRRUc4lWTAW27bpNs2ASQN5rqmnhuAqTDalZYtbu7sIVaF0Q4ZBK4FC8MyF52kmimG2zHA4wOgoIROCp3E1o50Z1fYMrI/4PhQwd8BwhGCxrsX5gAudLR8QwvxZuej4kUYR3XkiEIPBw4Bwrjso7HzOaYwztLolzzL29vZZHpxi6YQgG46orl6inY3IknRxvDi34uaf5zlCCKqq6uZknPOpStAitgD7w5P0BqukaZ+gBMFa2nqEKnZhVpAmvcXcm2/wSZLERKALDpzzKBUrpanpodGYJCHpHcNk55DaUDcNIjici8FP2wSaJmAbi29XUTqLCUHQBL3LynogyRQmUYdSI0pGCSQdjy+ThOAcogr4EOeRlPFajNEUnU4kBGjaqNfn2ogD9Q7rHa2zNLZhMEjI0yWuPVMy3o1zK017eDciuChT5KylrkpsF1y6FrwNeFfjXEtTT2M70UQPY61BqyjurU38rjvfIkQDocUi0EqR6oy6qRkMhiitqeoeK8vHSbI+2kgUMqoKNMsUkzHW7bI0PMBWlr2DKUEMIZW4AFI2+ODi8t5hWOfPbnd3t7PXXKbf79+5rhzZp+Z6pEmSLN5z3333Lb5rzrnDYE/H9Wdra4ubN28ipWRpaWlx7KPrp7W2UzQoePbZZxbanWmaMBgMIISFraG1lipUSCE73O6hyP/cZck5RzGLhI/WW1KfxKCwS97na1bodILnHuK+O0dcH+PvZePwUuNchFaE4LvjhA6rHXVFo+zKyhfU0ZMh0HrPB//NU/zuBz/LXqGivqWzSP84r3tgnR/5D7+JYysZQXx5EXmhew4HO9ucu+9BhHBc+dAOdbNBceOTmFc1nHvHOeR0l63RDsN7DzjY+5c896zhFQ//QwjqKykOBD5PZfD06VNY23LlypVOu++l7z6EwGw249Kli/zgD/7AF9XqFULw0z/907z2ta/lu77ru/jar/1afvVXf/VvLHD9Nz5vgKKq+Ohjj/GaJy9w7/72IbM4dH7fRJHl+/Zus/vkBf74dx/jzW9+80tem5Kab/6Wb+Z1b3gdn/r0p/j0X/4Vn3nyOb7+rd/AN7/6FTz08CswOu0wKHdqM4UQNR23Pv5xvvepC6xUBbEhHckotvMWzpzlNZee5dbGBh/+4P/D97z9H0WAcwAnFDqTCOvRIe0YbZosTToVdIMxhwvffMELxKz72HKPa5sHOOfp9YeYNOnarpKo0xczw6YssMWI4ysZ/VR3+BS9IJsIcYgbA3BpIFGHm+nc39cYsxArLoqC1jq8bXm2Mz/f2FiLdkhp0unGdbpXnYZd8AHnozagEJJiVnDlyhXuuuuueL2dD/J8QZwHclLGe5ov0js7O2zvbLO0NCTPcpI07aqCh1VRmG/4erHBjMdjLl++zNl7TqF6Eq0lvTQnyfo0bUVReJzySAVSS4QS7OxfpJGXSfOS/kqLyUCbqOM1n3jeO3w7o61Kyuk+IjvJ9tY+p87eg9IS0bF3ldKkaUaWZVjrOl1FHwVilUCbhL1ih6S/Sy2ukyVT+r0QNz+ZkFkB04BC4itY7Z1gkA+653hYFc1cRt72mFQZtXDQeIRraWtHU0ddQtmdLzFR0ywItdi4vIukiSwXC0D8Uf/oeWC7YI7OAyzvkVKjVCdjk6Ts7e4z1AnD7BgiX6coFK27iVTZoS6dYBEAzDsL0RLxiOCuCgSzzPrJVfrDYVcNj0QCmYLor9Hvn6S2NzuMbtd26449b4sD1HV95NyCoCAbnmTt5Cny3qCTI/FMxxU7t6fcutqyvwNNMyesJUiX0M8sSkrGzV+zcc82G0ZRVG1sBdNVaQkLfKXQGpkYfBuJGaITup9nvEJK2g43G7wFIaNlXIfnbayjbS1NE8kEp0+e5MZFwfXneh2JY4CSnrpuMKYTDhcWF4gs1xBxxK5taZvYKp1Nt8i7CrmUASkUqlMDyLI+xqTUdQHe45RFBhmZ9Voza2qqNsGFAcfWz5LlA0xi0Cq2R50XWNcnTVeYTHrYVrC0XFNVJTu7+7ilZfLcoKTA+bCoZBzdm+aB2nAYhdLna9ZR4lMIAWNMJ58U163JZMLVq1e56667Fsecqw8opSjLksuXLzMcDjuty/RFx50HX3PXDmMMu7u79Pt9VldX0TqJUl9ybvnYfZ8RXSfDLZLauHa3VLblcl2hW8t6u4T1WXQbUm5x7hBC1NQkxOMcCQjjsRqqtuGKK1mpA+vW0fgWaTVSHipoxGA26uVa66I02OcdgQ//+fO8/7HPQP9u8vUllEwJ3mObfT5x8Qaz//H/5hd+5D+gn724W/alHAJABM7cf46nHr+ADPDKN74FJQKXPvJR8tM148lNslmFzT0bJ5ZR44L9nWdj9Vt8xcWCLx8MDodD3vCGN/DYY4/xYz/2Y4femt2kOvwZ/vAP/5B7772XM2fOvOSxPleAKI58SefHPH36NKdOnWIymfDe9773Dg3AL+l4QUXu8vPPY5+/zH23bqL8vLQu0fhOmy9yiyWB87dv8tdXnuP5y5e57/z5F11bkPFzWVte5Vu+6a2cWD/O9tYO3/+Ot6NVnExx+JeYVYJPfuIvuO/GDVaqEhMilV13kg8ySHz383LT8sC1q1z45F/wtu/5brQxeARexHaEEC3amk7bTS4qL7FaYBbEoIjtiu0BoxR5alhfWaJ0mt3d3cWCNr9P5xwuBNZWlnCiigBjfbihz48thOiqEbFFYbRbBM8v5e07X5gIEaZw6+ZNVtfXYqCYRqLHHYLGnV6O9x7pZFcplATvGU/GHIz26Pf7XRvZ0rQ1VVXQNM0iCJlX/Jq2Ymd3izxPowdnki2Yc0dUK041AAAgAElEQVSrBdHJ5NBrNoRAv9+P9moHGazERVN2VRDrLEJoEHW3mDqQNVZeZ/X0jP6Kw+Qh4gGlXOB+YhVNEawgSQUmrajM8+jpBsi75ytanDFd5cMYQwgcCUi66lJQYHYJ2SUGa5akJ1BJlLVRQqFqiZ8Gghf0shX6SY8sSzHaoLRm7oPqncRIhQiCxlkOJltYNyZJFakxaCPBSaoGSh99n4XKSNMBIWisayLDu7PCEkIuNqq4mUYf0yxLado2thGd69rQnaSFjALCtg7s7sxIU4GnQaYCYQytD4vNdgFpsJayLBdz9855Z1Gds8hoUnTPPEp4BB/bSUobsnyAnVdjjhy7aZpFpefOak2gDQ6dDtAyo5pFCzeE4IP/+w2mBwIVVjCqH78TAvCCxjlmk2v4UHH83opTZ1ap2ozZjRsE7wjBEXzSte463UxnoRFRWNzHzX6euBy6Rgls23YV2nhvddMwmkyZFTPqqqFuLCFIdjfh4lMVeXKGLInOFbU7YDydoEzougkOZTWiW+ui7EtFWTbU9RZaTxDBIkQa17v5/iEFWhvSNKO1Nd3DBSRCtCAc1ibMZgN6wzP0BhH7qZVeJHuxwh9/R2ww3re4sMlgAMwCewcjhnaAQLBRRQWDF641UkbHpXkSOq/sHf2uH33t0X/b3t5meXl5obAxP278LgoGg0GEQaTpwo3npYLBxTrW/fve3h4hBHq9nP39UQTs4QmhRUq72G/nFbqjLkpVUaJcwDUNVVWTZA2J7OAOIsJbvJe4zgHId89s7vA0b4cXRQHW0diKqixJE4GW5gXXHz25pQDn7BcUDI5mLf/yDz+FH9zNYLBBMljB9HKsbWnHKQLD488/wb/+5LN8x1te9XmP90WNbo08efYsq+vHIAhMlvGR556mefc/ZvPiY5wSTzJcFfTuPs5+67i16zlz+iGCiPqdX4Sb77+X42UJJEIIvu/7vo9f/MVf5Ld/+3d4+9sfXYD8j9pH/cmffJgPfejD/MIv/PwC9/W3HVVV8c53vhPvPUVR8JGPfIR3veslZFe+RGOuy0cIbN2+iZlV9FqLE1FrKUrBaMBiO5SAE4KkbVmejNi8vcX99933ouNGEWi/0P9DzBEGHoReAFjn8tV3vFfA7Vu3uG9ygPTxAqPrBFEoNhbn8SKKWq+Pp/zlzg5VVTMwJmbr0qA7VSQpFc7ZLkMXHVEiBm3zxWzeKo2SDxIhFXVrmZYNWZYtMud5dWzO7iyLAmEdQqcL8Wch5MKIW2vNdDqlbdvFhq+1pq7r6MXZLbbz/58zhJ2z3N68jequ0XQuEkdbinGBFSC6dqKIQWQIAdO17g4ODhaZfbS0qyiKgrquOUrAds4zm00W2fq8SnD0z9HNYC534zsbp7kR++bmJsN7PHhP1VS4ECVqnHMxgHCAB+9bltcsvdVA0tPoFLQRXYDatZOI7b6gA0qHCACXnmrisa4m+EH0omLeuqkj/sx7XCf3s9j8gkMlJYM1TzoM6FR0OLOIzdGua7U3gVT3Y+VYmxh8J9GCKniPayUWSRtaQlkiVcXyco9+npOknX/yfLPpPKDLumE23kLIjNYKbNMiSBZz/RDTdOjXGzq9yfCC78Zh5iQwKkHKGVCQmR752gpYQVm7BTRgvmEeTTbn/7bYTCtLMZ7S66UMcoPwDc6OCAKUGqBNP0qnBE9TtUfe6xZ2l/MKpj1SgbbW4ooaEwQhNGSJxLUlvimpDu6np1dITY5SyZHqdCQnWN/Q2gm7N2pWljUbd2fcuHGDtrU4b7HBoYJEe4uzEupYlRMhajU610Z7MefwLkoJaaMjo9VFNuze/j57ewedq4XsYAYGax0Hk00Gq3182WDMEkYayrJia/8mUqzRZAqJJ/J9ErTOQRnqxlHN9hn2ZlS6XsgmQQxgQvB4a6nrGdY1tG0dg1cfOoxc9AouqoTB8ipZ3idL0k7mqtM1FAIXLK6NcibeB9xgnfH4gGHu6eeeqmrZPTign+XdZ3BY/Zo/m3nCOk9ej64rR8ehtFWcQ3O1glu3bnHu3LmXTGbnDPwQwiJJO3rco0HmPKmcr4Pb29usr2/EOcX8sxNdZe7OYHAewFVVhULwVSc2Ooqcp6lKaikRMlucc3G+lwgGm6ahrmsyY3jNxkk8HryjKQ+Tt0ju84u1nA7f/TJiI4vxxHM32S8MZmONpH+M0+eXeOB+yWgCz35WYVuLzTb4xKcu8a1vfhX6y1l6Eyz2YJP3gFgIub4zQn3V65j5CZ+56jlxV4EclfRHA+6/+/u5775vJwjZCVB/Ga/v/4fxspjBEAIrKyu85z3v4Z/9s/+Of/pPn+Ctb30r9957D1Iqbt68wUc/+lE2N7f48R//8UXZ/G87nHP80i/9Ek8//TR//Md/zPve9z7e//738+ijjy6qTF/OERdkgIAOHdtIBMAiOy2/QKSkSxEA/bmvScyZt10AQQwOvYjK5l3hP4J/72BhxXKlEAKFQwdxaPATANziBDqm2wRh8XM7wBB1ZE2S4LyMrxaCsmoY9hL8PDteyB3EimAkWMyrGpLRtGRWtSwtr5NlvW4xm7dKY2YYqy0FVVNQ1o7lvrhjYWyaBjfH63XYsTk2cTyZUDcNJnmBCr4Q3bGjm0Ge54c6X10WfRSrpTonAWtbCJbQVYWM1iQmYTyZMJ1MqKoyAt2dQwlJagx1U9Psda4jvVjZm28K6o5zmQXuDA59iEMIKH/4uiQxbO3vkrUG38bVtmos4PBt/NNWjum4opxVyGyArRKSpMH0LTrxKO0R0oJQHRhfEqygcQrf5DSzgBJL1HVNVdSxcmdiZSWIisbGKpWzLmoJNp6qrChmUwQZtlxHG0uWNqTaIzQdWxBsXeEqTypylFTRi1QnMRFIomNNQ4MLnlG1i9MjTpxc6uR10hhcSr0IkOa4vDStyFLNaFxQl/XC/SbiodxivgQfsWh10xwJZizOx7kTjlT8vAcjE3J7i7Z8gpkXeLHEcv8ErW2YzqaRDNAFu957nI2kpHlA0DQtdV0xLSaEUDIZXaGZjOhpiekcL1xwVF4S1ApLvdPMyoKiLDqIQCRdeOcQcu7XHWhsS9U0FGVJUU9ZXlbUk2epmm0SAUr0GPZfjZEDtMpiUkNkjkYyh8daTWsUqsm5/PRtTNZjeekY09mU4TBF6agtaIWITj+hA7SH6FNrj1aN6paqblhKDLOyIHjY3jsAYGlpSJokEXIg4/u9C9RLDcurLftbl6j2W5S8jzT1uP1bHOzdwvYUSQJRbUVgXaANKdblZKbCWYsSgWnd0FpP6zzaRemdto2wDrqAydm2++wcrYW68QQiqzdNBFpHbbukm2NChvj5hJbQ4YRNmoEc4F3UIFVSsra6TJ6mKM0dQeA86JknffNA7WjidzRAO9piNcYs5KzGnbwVRHjA7u4us9kMKSVFUVCW5SIBSdOUjY0N1tfXFxCIeZA5P0+WZfT7fba2tpjNppRVien0VOW8ciyIu4H3ONvQNC22sRityVZXQFoEGpzAurqrWnucT9HOdB7PXXkhAN7Stg1tE/Uu87THsK8IMraAvYuar1Xd4n0gSQzOaYJUzF2x2nYumHZY1nipXXFnf4JQGq0h7Svuf0DxpvOCgwr2tjJ2dhIwGXuzEdZZtNSf40hf7OhoN0F2zOBOZULA195/Lx+48BTjHcdUvJFm5TzrTcGbX/Va7j55D6A70swcP37kCmMT4e9sjPiyZbz5RD19+jQ///P/BR/72Mf42Mc+xgc+8L9RliWnT5/i9a9/PT/yIz/yRXsKQ2xz/dRP/RTvec97WFpa4pd/+ZeZzWYLI/sv+RB36qWfOHWa6bDHNM1JiignE5src0VBTyuiXllpEvaXh5w6ferlT3DHT9EY6vCc6nNOnNNnz7C5sk4jr0U1+BAVkQ7pLN3PIrC1usra+kYMmAm4IFBGYqzqKm8wKxt6qcH6gPUC5UJU0g8lELAuysQ475gWFfuTinxpjV5/SJqknS3U4aIYQkBbi5DRB/RgesBSz5MmdPIPFlGVCCHjxuQCtstmfadxNZsVJNogUTHzVb5zCDnEGCqtEV0rd26sPq8uRuxjEr2tPTgZiEr9Ir5WSpwP7Gxtg5GkWcbQRLcQKTwtntB46rbm4GBEWRasra8R7Za6Kqdk0VKfV1Gruowi2050CYTsAkJNcNCUDUZB0ERngODxtWV394DJwQylJFk+RMpH8IVlOptQHoxYO3NAslohTAChAUdoYX87Z3R7SGjWMLpPL0kIKupg7la7DFeXGC73CSEG04Qofl6VNfu7I2ztMCohTc/ha0uxNaPYOWB4bMza2RJpAKGpigZbpchUxPOLsMB45T1NUzra2lO4KQfNJssbPXqDjCztdQ4P0YHkhRVUpQ4FhqN0Rh/X7keyQQdalz6Ki0NMwGwb57j1Husddg5w76rGtrEkokevlyJdjg8NZTujnF0mpcdoX5GaHlLFAMtogVWRSBDFx6Md4XgyYXfzGsJusb7kGGYdllbPpSeie0rdHDAdF0i9zmScoFQagzeX4pRHKGKV2Apq21CUBZPxCOHG1OMd+klBPojMbCESRJWjZBQCPgyg55+bRwmL9AoRNDTHef6JbR567d1c3fw0RbGM1g1aQYPAa4Hy0UqSAMHbGJw1lrpuKKqG1ilmpaVtuyAjSVke9qLun9GLCrHoSEeJlaQmYjS35BWagxwpHevLnqVlQ57oGDDLWO1yzlFbR1nt0TQNI6eo2yZ6fzctSSswwkR3k2DxKtZlfPfe1rUL3GLbEhnmSiNF/Gwi5ELT6+UopSjKGd4FlFOxy6wkUqYUVZRpGvZysjySuISIZImj1S9rLUtLSwuc39EkM8oj6cX8nc/l+fybvw5gMpksAkGl1IIscjSAdC7OtZs3b7K3t8f58+fvKG7Mj310Tdve2cEjuLV/wM6sZKsoqWyDkIp+lnFy2OfEICPr9hSPw9aRyCNEu8BhGxNF+m+NZmxOpmzPZpSNRQrJME84PVxio5eQGYVODMF7qrruEvPormKMRoRAYz17RcGN6Zjt6YyqdmghyIZLrK4tv0hi7YVjuZ+Di843vgnMJoFRJTiYQlVG7DHWstyP34k4vlANl6MdhJd/fTjyUwgiymi1FbPZDmtM+Idncz7w2L+FNOeB172Br3vdN3Cin1PUNcjoQ680XTFmHgDG6/QIvrzshi/f+IJ6ukIIer0e3/Zt38a3fuu3cunSZX7lV36Fn/u5n6Pf733JLkYIwerq6uL3ObgWDtvWX64RgHvvvZfBfed56qmneNPFi6gQCSMisIBjqxCZSJdPniU7/zD3fJHV0BePuIC86Wu+hv/h//gD9p55mhPTovNJDgtvY4WgEYFZkvLc2fO8/mu/JlpXhehKYtIEFzzKC1ohmVqLLCrGIqBkhUkUvTRlmOX0E0MgYuraxnP19i4yHdLvLZGkOSbRXcUgVnGEjIB8mZrY5xPgbcP2aEo/i5ZvHqicp2gt07KiqmtaG6UsmqqhChKqFikKnAskxqJ1DKy8j+02Zz3CmC4jPnReOQrYjhi5w7mx+LsDzksJqpfTy/tkOkUnkY2og6VVGpcIem3BJKtpbEcs4JAAMA/dhRCLDUC2h6+J5zq8LqU0u9vbDHxGL/egwLWem9c2IcBg0CfJErSJsjOxyrpGVVVsX77JBnusnbTxm9kGLj8XmG6epZ8fJ11O0GauJxcdS5qmZXwwpakbltaWYqUmBCbTGeP9aRTkXuujtOoqPwprW2x7jMnmPlW5yd0P1cgA29sTkjoFEyvEriOw2KalwmObQBtqtvav01tO6PUz0qxHkqQkZi7Bcife6kVYKeuYjesoVN7U6DZBKIcUEissHotvJTaojg0dW97O2S6paDt8VMtALZEmCSZkEVObeBLtoJpRjwNbt2qcP0u/H0hMi+q8gZ33tE3NZHzArVtXkHaT4+uSpb6JPrYmBiCKaCXpvMUkILTjYLZNUTa0VYHbOIHNhl3CElu8rnWUdcHB/m3K6S49NWK57+n3OnKCMkhSqiRBChOxWHP4xpFES0oFbl59GFBUDfubBXedvYetra3O+ii2V71xh7izEBnzrYub+qxoqF3Cm978Tdy4dplnnvgEayt9lgZ9ennWwQE0qnPWmTv1KCVRsgUE1jfs1ZeRMmEtGdDPI0NYS9FhSSF4ReoDidFMZxG9sJwvQ5gwm04wZogQekEmUqqrrguB7RjVTWOZzSqyLMfXhvgluHPNX7Qn6TZgMcdcx+34YDRmODTkPUPayf6E4KnrKDxfVRXT6XQR0B3Fq86JRsZEZYO5rMw8CFxgjI8Qnq5du4aUkn7nSHMUHzj/DnjvyfN8gcd78skneeCBBxgOh3e0iufXlKYpo4MRm+MJH7tyk32ZQWIwGBAORiPkjS02VOCrj60wTDU6zUi0XiTsc7iNUIrbs4p/+/wtxihCIpHSIIPAjwo+eX2X07ng7507Td/FHpTUR/HRdVeZDNycWf78yiYjqRFzz2Qsl8YjvppO4/RlSoMP3X+K3HyCup5STMc8eUGys51SFp7bN/eoqhGu3OeNr3oQ8zdWdf7CXy8Q0d5RWGbTa1y69G+4duvPaJrbaNlQH2T461c4dvJVvO3VX83Mw7/6q8e5cOUqZQCdSM4fW+OtX/VqNnp9RFeY6ahdf2fHFxQMHgXGApw/fy/D4ZBnnnmG1772NXcs/l/MeLlg74s99hdy7izL+PZH385jz17h2GjKw1u3u2DA47qo30vPcxsbfPqVD/GP3v7dyC/46f9Nrl/w0MMPc/br/j4f397nG/7q06xVRcz6EfguQCm15C8fuJ/pIw/yDd/6LYv3+jl7TsSspRJQZxmzVFN0tk7CecJkhhpPGCjFsV6PnlKMxwVF4xgO+hhtaJuK/YMprmkXn9P87yRLGfYHpMrQpgOKacmkiALFVVmxOZsy81GiQKi544AgGE3b70fBXecpR2PyJKrsR/axp24DRdWSdvINwRPL80cy9DlO6yhZ4BAjF9u0wnn6/QH9fIBRAW5dZ3zhSeRsSv7AA+SvfAR0jrCaKpl1x/FdW/vweM65BQHBWveCcx4u+koJdJ4zHU0INkNqzfbtHSSS4cqQvJ+gE4XQqpPtcXiXoROBLs6ye0XT7zWsbNRcecYyvbnG0vJJ0p7CJL3IRBY+Bv1OodpY1ZlMJ7AHvTynbVtGoym9vE9vkGHSuNEgY41bO4NrPUptMDpIuH3xJueOr+IxVE2DczXBJXivaG0LlaSt47ObVPtUfsRqv49JErROF230eXX0aIttXlmZC/UmaUKpS7RNmU0nZIlBBYUvHTNboqQizTLSnkDoEPFxzuKso20sTVVTFQ311LLST9AyasgFEpRyaBEtpmxzwLVbm4ymY9aOn6Xf75PqFFA43zAa7bF1+yIy7HHv8ZxhnpKnMRBM/j/q3jxWsuu+7/ycc+5a66u39t5Nsrm0KJIitVGUJUqQJdsSHGRij2MLsQNnACN/BPNPZhAHExgYzBgJ8tcgf2SWTDwJMI5jTzIaWZItibZsbSRFU9y3brI39vL292q/21nmj3Or3muKzIS0PQAvUXjs7qp3q26de873/H7fpb5HJAINGAe+S6dxRlMWW2xvbTPOhnS7qyRpwyvArSXLpoyGe4wHN1hsatpNRavOjA4Cn9ErCVCyfiif3esrc94zzhof+efwY94Gjihss3VzzAMP34N1ju2dbZzpYJrUfLqgpon4ampZGSbTKVlheeDDn2Rh8STImBtvnqfdDEnjkDgKCWowGNR8YYevos02RdZZGs2AYnHM/vqUdqJIIogCL0ITclaNlHV1EnAJo3FGGAQs9jrs9wf0BxnWhVTOEoikBkAABmu9V+l06tXojUbEOCswRt9iezITAc3cD4w2WOs7H9Y4rK4QUhAnIVEoCEP/Pk1tsp7nBaPRiOl0Oo8m/YmZV4g5ODvYZHo6zuHnzH4aY+ZCkgMbqlutaQ5XFGdWVBcvXuSuu+6aR2ce3uAGQcA0m7LQbHHb6homN5gg9vxa4RA2homhk0pazSaLbX8vKjUTv/jujLWGvCxJy4pjvRaVhjKMUXgBGNaSmIzVRBFrQdpq+hSgWiwye+9aV+RFRUOO6HVTShtgVQTSIWyANj6a1bv4wzsBs5Vek5/99B38xz+7ykQEFKZif0tgLejJhGq8xekj8Ogn7vE+gH+NxR9NxhtvPMb5V/6QMthjpatYXDS0Q8XONceTYcji8RU2s4zfffppBnFMePIkwveTeGFccfOJJ/i1R36K5TT1Ap0ZT+t92ij+z64MHvoTQggeeuhBnn76xzz44Iduee5fdwXvr/t4+OGH2fj1X+U70rH5+it84OoGrarEYRjFMa+cOsmrd5+jOHKKP/iP/w9ZUfLIJx6Z39TwTtfg1j+/03VyDjY2Nvj2tx/jlQsXaHzofr4VKe5//QIndnaJrcEIyXq3x4tn72D7g/fxD/7hf0Orkdb3oVcjVtqTjLHeqqG3ukIUB4ggQEiFcqCdozIVk7JgNBjREIJiOEZGfuLZ3d2kKkvSRpNGo1mrSus2pPHcm+3NLZrNFkEcgwjZGo1ZL6bkzhA2W8RxBxUetE2wFj3Lm80yJllFI12k1CXZJMNa7Yn7UUxzocd0MvC2MKZeFNzBwgDcAggPe2/ZmjflpCRJE6IoYHzjEsPf+wNOT0dEUrD36muUWUb8yCdJZEiapBRlUfuv6bpFeNCytrU/1wygzBcqdwBOozgkbMWYacZgf0yea3RZsXJ0kaQREcYKFXs/PV+pqy0jKokgxI5W2X1zn06jzfrFId3mCmkjIEgaPgUlACl9C8sag1AgCLAuZdgfUUwKylLTaDdJmylxGnphSqC8VyBeeaqlQjhHy8Bws6RIVzl15m5eevI1FtKCMIwRMgZXepCLwArJ7mALGXkriUCFc2W6lKpeCA8I+DNOlAfMCqWM99uLA5RLGA1LBmXBTp5jtUSK0CePWEOQWlZOLNDspVQYTFlSFSXTaU5/f4qtAqz22dVxFGOsQGiJsJCGmnZq6LYTbNAlm5aUuSZNUzqdFlEUsj8YYo1loRHSTGojZ+W9L8O6wiKFRDqLMQLjJAQSE0Mr1hC0aS4cpdKSwWDsv0MhSZKQxcVVGkFBwgZJ4hXloQoI65Qd5WKUDGqrHN/+DAKJlL77oCuJxSCdq0GjJlCCLAvY2y756Ece5NKly5w/f4HxZEqj2SA6LO4qDdPM21GFUYOtjRssrZ7ClBlJ7E3efZ63IlKy5sgGc988YSqEdAgXYq0mDhukDcMo3SNU1BxeSRjURtfO83yFOXANKOOIqshptWOqTsKN9QmFFrSbi6iogRSBpzW4DOcGlOUUU5V0WxFFnlGVlqIcUumYqL63Do+pA+GDpdIWXRUUeZ9mLAiV8n6G0qcYVVXFtBoxnkzn3n6ze/nwhm/2+7XWtwjlvE+mfdvXNBoNv9F4i2r4sGPC4cri7H4YDAZcvXqVO+64423XgThO6PV6fKSR0Njr8+oUqiAC5xCjPmcbIR86vuqV1kmDKBB1hTmYz1XWWqJIk4QRvShG7fW5YSKMCDHSkpYZ5zoxdy10aTY73q2h5mYf5jIaY4giQxgrGmnIMztTbhL5zHnn0Lo65I7xdqudPySCv/2Fj6Enlm89+QaTSZMgaGBtRpgN+NCpBn//175IpxEetF5rD+D/HFwxL1rNzn4oJuTw653TvH7xT/j+C9/kujhOJj5AMlCcYZ1PndqnZBtUTtIe873nv4pePcPxk7cTRb1ahDihUVq2rl/lR+cv8MUPPfD/2SJ/PxzvQfrrL/iDDz7I7/zO75BlGY1G468cBN5qXfP/H8CUUvA3/+bPc+LkKf74D36fl1+/TDTNUK5k0mqzcvc9fPm//AXOnTvHj//iR/zRHz/G1/7wa3zhC1/gk5/8pDcL/U8cb62yHv77q1ev8s1vfpvnnnuOc+fO8Zv/+L9lbfUI3/j6H/KD73wP1m+S5AVlEFCt9Dj78U/yd3/pF1lZXa55jX43V2lLWVmM9lUGIQRpu+VTC1RQ89y8XY62MTqKqaKY8XjIWBsSkbKztU0Uh3S6C6RJC1VHXs12a9YYokhTxjmT6QhVFQgVsJMPiRtt0maXpNGsFYBeJOJJyx6wRdZQRRFFmLMznnBi5RirCysEQlEazebeOmK6x3i8R1WU6EijA11zzw4A4FsnrQObBA9WozgmjmKEc2w9/zKnJxPWFhZQnQ5qfYObLzxP56d+ChdK2u02k82Jf10YoZSe79hn7RzAm05rr5TVWnuhRs1H6vYWqeKSxIZMBgV7u32OHV0iSnz6QBD5FnEYBqjau6/SBQjnkxKSiGzU5OIL+yg6RGmKimKCCMLIp00oNWulVyAqnIVIW8IwIp9kSClJ0pAgEchQoup2WSA9h7TSEiEMzhVEBuK8xcaVEXc1LY0eDMs9RFiSSkHsYkKr6papYzDaJ11RHshID5pUHf2nZEAces6Tc84rtq3FSoER0nssSh+Ftj8ZkA3ARQGdpEMUJygVQt2aLqucjYt9ws6A3tEOpZmSTXP6oym95aO4hiIb5ARBTJy2qKoJjpmxtyIOArqdmGThOBUhGIMQCochz0p05ZAyoJ0mhJHwyRV1AkoYRERRglQhlcnRZU5lKoySqEASRwpDQqu1QFk5kjTxVWihQDovyDB9Ar1NGApCJQmV8iAqjglk29vjzD02lY9kjBRFqedKbGfrqLpa3S9Fyu5Ghr075szJY6wsdbl+4ya7O3v0x2PPIa7Nh48ePUq3lVIWBbubl3jxmZyd7XXiwCCDwPtTKm/lEwYhKo4JohCrDaLwvEOrdM1n9Kk6jUaIMgoV1AA3iglC307VVQGVB0ihkURRwCjPkaqFECHt1hFanSM00oU51cE6gdEleT5C212ajT7O7DMaTciyCid3iZMOoeQuY0AAACAASURBVDpIJjoAWf7+K6uSvMiZTvawdp9AWaT07GwpfPzgdDploIc4x9zlIMuyuZ1MFEW3ALZZaxhuVZ7PwOFMjFJVFe12ey5Ceas1zdzX7y3WNNZams0m/X6f/f19Op3O/PPN05rCgEajQaAEHwRyN+WaidDllDVhuPfYGu12kzhNCaOYaOZ5Kg8qmDPAHNYt3fuExPXHrEsIjONkLDjb69FpJQRpQhJEtV3XrTY61loCpZHK06Xu1xIzytkJE2Jb0p637bnl59sdcSj41V94mI99ZIcfv3iR7b2KbrvHfffcywNnT5DGgvWNdV575Tzbmzcpq4rllVXuf+BDHD16bD4Hv9266pxjZ2eLq1eu1AEYTU6fuY21tSO3VHorPeGZ8y9xLbwXeds9dJMYrOLKYIvL3/ke1Y+eobMmaDZfIikucXxrhSr4EsHtn4cgBW2ZDHYQlcYYn/aD85Sf93Ed7L0Z5QghOHv2DqZFxbVrNziyusIzP36e8xfOM5kWdLtdPnDvXTz4wP2kjYYvbc/bpL7t6mOPqCXeAH7gvnHhEs88+zwbmzuEgeLUyeN85KMPcfzYURA+/1X9J1G4ZdYfdXXbZVbo910UcXB+rykCNH6Y+zKvUAEf/ehHeOCB+9hY32BrYx0nBKtHjnDs6BGiKMAi+anPfJqPPfwIP37mx/zxH3+Tb37zW3z2s5/l0Ucfpb3QQRjHxYtv8N0fPM6rr1xgZ2uff/bP/yc+9MA9fOqTn6K90MFpy+VLV/ijb36D1147zwMPPMBv/uY/4tSpk55U7gS//Ctf5ue+9PPcvHGNvf6AZtrixMljLC32cLK2mvE9JUBQGktV1mKN2r4hjWPCQCKU8sa30lcNlXVEUlFIn8DgjGD/zR0aYUq706aRNgjDhKA2mhUzpaixfuL1LrCMh0NKVxF12zRbvm2i6slW1i1K6TxnzTqLNIaZYa7FcLO/yfLyKs1Gl+lgh63RPmudJu1Wh8l0QpykVKGf7ByWqiqxPnOpbuvU7RFrqKqSosjJi5y13jKhDKgwFFbjLJRGE1UVxlmoJ+8QSZqmPhIqz4miuLZ48VXQWUUSqPldfvxW2re48tzH2HXaXfbVNjKskymiiCDx0WEz25VQhaSh9zarjE+EcLbCKEOgYnAFN68W9JZ6yND4vGQZEKqQJE6IwtgnEpD7NAhlUbXRdykLwjhEhQc5y4EKiaMGSegFROQTnM1rMBASho5iP2cnu8rykQShA5zOGZsNirJJohuELqRyhrwY05SpB/fiYMzNFj+lFHHiF1dtKoSphQnU/EuhfVWotKRhh16zRxo3fJWpHoPGGG9YrQKGoy02qm1kAhrLydNnaaRd8n7Bjb3LiCAkTZtAibYlwnjum5TgRE5RDEnTJW+H4Tw3sVKSQPnKqgp8jq7CIZEoFKEKiBstwjChmMDUeI83JChlUIGlyjKqckIYxCSqQmBxQmKJqMqMohgShc4bV88eShJGKWmy4I2hxYHPYhApkkTiCKgqg5j/53l1QkQIQvLpgDI3CFkSKMHJY0dZW+kxKXLyvGI6LsjLjKNHlnGmrH0dp+ztXCMbD2ksdkAwb2sJ/PuQQYCMYxAVUmukUAhhQEhfJRQePEtbW0fJkDBKaTQ6GGuYTgcYoxHC1EAXnIRJFjGZJPR6J2k0W4Rx6Kvi9fyrbeTpBmFEmUGzIYmiMU5YBtM+/X6fQEisrerqqTfUnrWz8zJnMhqQZZv0egK0926amRJZHFGc0Gv3bhG7aK2ZTr3f6PLyMq1W6xYAp7Xx96U7MGY+bM5cVVUN2sL5mnir5dWtApLD4GoGHqMoYm9vj0ajgTGGPM8ZDAaUZenV02EICJoWbm8ZxtOS4e4OZ9cWaDUT4jglDmNk5BOSgkM2NfPNsvQq9YSQBRNzptRe+GEsZzsNmmmDKDxkpaWCtwWDM5DjnGWxVXB7IahESVfAUhR46//ZuvxOnVLh1+YgENx7xxofvGMVZ8W8/e2M5Yknn+BHTz5OEkREcYizjvOvvsJzzz7Hpz79KA9/8pMoKRDW1bQXXwA0xvCDH3yXF194AVW32o3RPPn005y4937SxR6n19Y4t7aGcQHX9Qry1ElavS4ykjgbYKdNLg1X6Lhj3HV6lzgqCWzF3Udhc/N3udm/RrX8RcpphtCa5u42x1ZWDuGi92+LGN41GPSEXYckjmPuvfdOfv/f/z7rGxmvv9Fia/MsRZnSSIesHf0295z7Fr/x936Ruz9wrtY8uQPptQNvpunR4O7ONv/6d36fJ57a5ub1M4wHJ1HKsrB0jWOnf8TP/8wH+KVf+kVULGqZ5ttf9MNfhwOcNpy/8Bo/euo5nv7xeZwwGPf7PPzxD3HXnXchlZeXSyc8OdebPIDwApbTZ05z+szpnziPv+UUcaL4xCc+wUc+8lFeeuklvv71r/PYY4/x6Uc+yXBY8O3vvMaly+fY2fwSVgt+9OSA75x4lT/++l/wpZ//KC++/CJXLl3j4Yc/zj/5J/8dR48eVifPLpag2+3Q7f6kEef8sx760GXl/ap0VbG3u47NRtx2tHUABuvorVmr0UpJVN9YtqGRQtBst2uVaDyPPLvFeFlZtNQeVGLQVeXta1ot4jQlmPFnAoWSb7dT9mBQ4qtuYz3gxsY12rc1ubb5JioNiOKQI0eO8PobrzMej7BWY+xw3rad/U5/HRQqkCRJjDGGyWRCFMdESYxTglSlLJ+9k6uvnIfxlMZoSr+RsvyJRxCB97yTVrGwsMDm5mY9mRgGw2puKvxWbuxsUq+qivF4zNLSElFUT6TCT3phpOqqDlBn+CoJURTSbDaZ5rn3WKSqFdPOW72QImXkQYCsyclCEgUxrbRFnvm2WjmbuIVDKompLEnq/WIEol6YBWGgaKRNSl1SlpkHTAIPyCUoFfpxLx2NdkwQRmhdUoynjIZjTBZQmZJJNaLnEs+prLXtM9HTvKpXFn4RnNnG1FxXz63UWA3KxrQbXRpJkzhMiYIApAeOzhpKVaGEb0HujG6SRiEnTq6RlwUb/SugNaqZ4WS9M7ezu0EgnMJbQGSg9xjsbWNM7it3woFwpEFBWWYgFFYojJBYYTHS4YTATi0mqHxeuWBuo+GcwrkAaSw6u8G4nGKtxjoB0qJQJFELaae1uELW93H93qBeOOvfWat3q8pXvavKMIvvmz3Hz5d1rJ8wFGUO0nvQ6VIzneaMpxl5UZFnBZ1Ok1AFTMuK7b0BcRLTbrXRxZTalhKwnpeF59c6Y7BlhdW6ForVG2dXZxc7L5CRop776nlJSFGL2ma/F9/KrF0NdvuWducIzVaTNEkJ6jlhZqZljCGUCiUkIxxlYWg3SxAV1lUU0w229D5JZBFkIOp5I2ig5CJ5Ycmym6wuOZwWZFrWbX3r5wtTkSYRNNt+A8cBwJn5821sbLCyskK3252Dt7eCqsPJRbMIuaqqWFlZodVq0e/3DwlQDtKXDlNaDptMzyqS4/GYLMvmtjRhGNYJJF7RbAXEJmI5jVibTkmUYLnZ9pGLYVBTEA6scWYgdM7XFXWhILREiWYlTdjTI4LAspDGxHHo5+ogIlRBrSw/EMDMQLCPnYPAhSRxypEU+nlGLw5Jlf/y3Uzk946g6LDZ2mz81C1cB6+88jJP/PCHrK0s0e60fYfBWqZZxt5+nz/7sz+lu7DAvfd90N9PzoNIHDz5+BM8/9yzrCwv0Wo2CVSIsZrL45yn+3tEgeCp3T5/q6w4vbqMTldxYcN3WDLQecH+1hgRNjj+gdu57azCFBtMRhVKCo4sFJRb32UjW6RUZ+hklofXjpCWVb342nf4zO+f412BQTfb3ePdt1c6R/jTx7Z45tlPs3H9AaxrYbEIJwheHnP50l+wt/W7/MN/9Mvcf+99eBaAQTDL9XMIK9jv7/NP/9m/5InHj/HCS18my47jK4cSSU731fPsb3+XYf/f8Bt//9c9FnzHd+gPIyzj4ZB//a/+Ld///g43b55kv/8gFnjqyX2++of/jk99apX/6td/jYVu9z1fwNkgiKKQhx56kAcf/BAvvfgS/+Jf/M9cefMOnnnqVxiNTqFdhBMKuWm4cvHDXL/6JFu73+ETnzjB//Db/yNLh1TU7+Xwl1Ngha9W6SJna2ODopiy2EnrXauquWO10bUDIySmDjMPw5CJtiRRQhTFqCBCHTJ6Pmw67YUBDosksCFxFJPkIZE7mAxVHXfnLSLE2+6UcY7IRsQ6Yae/y+UbVxhmI1q99ryls7y8zLWrb9JqtUgbKY1G45YJ17fGHJUuGY1GcwPrTpripG+eSxlw6v4Pc9U5rr/yKl0hOfXxj5Ledx+5UQhXIBDEcUKr1WJ/f3+uDkzTdD6Jw4E5rBdqDLxRa+Jf58SsZeGrlFYb8HqPA/GLcxRVhch9VqxxBlsvynZejajAzLJJPeyy1lDqknE5Rdvc+6xhau6VN4UW0pP+sQfKVIdDm4qszHyby/kYMlv/m3MWFSp6rR5lVVLm3qut3WkQx4ZplDPYH5NGMfpqPm+jvfWhjUFUPvPWwdx82doD70lnHVVuCESDOEpqQB3Ufon++9SVvx7GGdCaKBVoO+Xmjcu42ug4CATdpQjUiCwboHWJ0dZXSp1Du4qqtJg8p9FeIWg3kUEDAVgzIYoGDHZLTFUgtQTrsGgoof/qVfrPXYPS0j7VY+GjZ9Cx895uTmBsSakrKFok6RpB1EbK0C8s5Zgi3yYvcpLA+yF6g2BfDS+KDKv3sEaDrDDWj908d5SVrzzpymKMO/DmNBZnS6wriBuCoppgnI9AHPYHWC0QdRpPoGA6nnL1ynWyskIGIZ12k0YakKYJVeXzkP3Dx8AJIxCFw1alp45ojTa++m9dgTUOoz1Qi6XFBh5o6TJjMvaD25Sl9ymtU2esFVRFiAo6pGlrbsp+OD3oVuoFlLbDJB+AyEkiaEY5mE1CFRIHkiigBjqCyozIs22mU0MYWaYTi7RQlppKR2itCKRDYIhVQJQkfoNUA6WZlcvs/ezs7AA+dWtW2TssHpuBwaIoyLKMfr+PtXaeNDKZTJiZOs+AnpQHdkmHOYOH1cNlWfLmm2/eYksz495aB8o6ZOA9TBdxdNtN4uigAnmrJc6BOf6cr4vDWgGBItQBrUCxaErCQNzC8T2w2PGAcM4frTe2RnifyEhFmCCkGVUsTSp6IkT58vVcO/Ju62Mz9fPjj/+QpV6PXq9Hb7HH4uIS1lp2drbq5+T84M+/w7lz53z8ovPrfX8w4Jmnn2J1dYnFxQUWFhZptlpkec7ezoBRt01pBaqhePyJx3ljocP+cIJI2xRFiUIx3NygGO4iEQzGu0wnIwInEYkkXkiwuuRoWbJz+c/4wG1/B7l7gVF/wMmPPoyxIwLVwpfJ3r+A8F2BwRmh0wnF9evrfO0bz/MXP/ocGxsfAxcxixNyCCq9zMXXP4Mwhv/9f/0P/PZv30a706p3xb5Na4VC4vg//s3v8cPH7+LZZz5LqVcQgMJhnMKIgL29j/DED7qE4Ve459z3+eznPvuO73BWrZ6Mpvzzf/q/8OffW+T5575MkZ3GEoATXBUVr718ie3NJ9na/pf81j/+BzRbrbrM/W6/TDEvD88qRqPxmI3tozz1xM8wmtxV3yiz3UNIIRZ4483PIgPLyWMv0oj/Cg21HVRlwfbWOjrPabYaxEnq82KVRNUcPuqJ7jCPxVmLLirCMCJQM66f8u2tuq0RhiHWeqsGaywRDiscMvBqNm2t31kenqTqCLyf4N7NqoSBIggjcjXl0o1LpJ3m3Hqlqqp5HN7CQpc0rQPlD6v2nA9Q18ZnLk8mnvfnS1ISaf3mIE1S7vn0ZxGPfsZXopDklcbqHFnzEMFPTjNw55NX4vn7ry8xxniz1jAM51YVs9db4/wCai3GWarccwxnpsnaaIoy9/FlzlLp6qAFpS3aTLHqJmXVpWEDnImxBkqrkXkOhaYShkp7H0Jn/OuqStNd7DIaj7Da4mqV5aylPD9fVfmF3jh/vsogXE6zFRFXITqKmU5zBv0RvaUlml2JVc5/34n0BP+qqvNazaGEBt9GEtrv/311Ysax8skZRmuKqSaS3TpezFciwjgiTiKEkOR5wdjusj99E5fktBYCVNxECRDWL3RFqZlMC8Z2QhRlOG3n56isZVoInDzGwsodpM2mX4gRCGFBdqnMUZJkicneJXI9JtSaqgrZe2Md89gFjju/gdrfvMaNomDx03ehjfbG27pF2jlCu3eGMEr95srVjqRigarqMekvUOXXKE1J5DTKOoT2jgSaqd8AWAM68FsqY3xbtqYjWGO8UMnqA8ESU9K2oD+asLvTx+FopQlxN0SGAQ5F3T+lqnLyymINRMrTFXq9Ltevb1KW2gud1CxBReCsq3s3PolBa0Nlc0rtN1lZPmWwZ0h7AmNmwgqfruNwuJo/a2rD+KoyFDqg2+55oK8kgVS+/Rl7+shsHplVkWMVkActKjtAuCm6nNLpRDSSgCiU3v4GhXPSR0vGJVGoyQuNUgl5OfX8wcybhgshsM7QEsoL/OStoo7D3Q5rLbu7u3OAeJgrfGBS7q1h+v0+xhj29va4ePEiCwsLGGPo9Xq30CUOsszfZtU41NUA6HQ6b8lHDjxQEXZO91hKYzJhfWVVHsQ4ziuSQUgSxwgp/PxXf05f+Q5QwmeBd0KJEuodssHVfK6f8X4BtJXep0t6YClCR0c5ksA7IM0B4HvkzfX39xkNhpw8cYxWq8Vtt9/O2pHjgOX61RZ5VtJujbl+/TqDQZ/FpWUQjsoKXrn4BlIqms0Wvd4id959jk53gTzPGJ5/hWv9Ie3uAtFkwlIA2XiAqEq0hlRFNNOYVussujrNzoXXsNMp/emQNIETty3TiEU9liWnuzss6scpF16hvaC5dvMZ9ocv8+BDv4FUHgO9X493zxmsx/Y3H3uM1y+fZGvrPpyLAIeTBggQdgZ9Iq5c+RgXXr3Ik0/+mM99/lHPVxPM/Yg2Njb54RPXOP/ax6h0D4H1UW4EOFkhrcAJwSS/nVdf/gh/9K3v88lPPUIcv33+jcOBlXz1K1/hR0+kPPP0z5GbFXz7aGbPGTLJ7ua5p1OC8Fv8h698jb/7q18+aMm8q+Og8D2bPL797e9z8fz9ZJNTnpfjZtOsBldzXmzCm5c/zCsXXuG5F57jkU888pcUyhwYPE3GY6ajIZ32AmGS1HFiFhUERPWNLqDOfp1Zoihfyard+2ecsMO8piiKaDQaFEWO1iVOCZwCZ8AqfE7o3DerJshLNT+nktKriEuvUDV1JcsH2AeoIMC4qRedyABrLJcuvkGR56ytrdFsNolmVcu3ZHpaawmsmk9uk8mEfJKRNJpo5wiNRlvDxtY+o+kQX81NWV5aJgwjtJNYV/lElTyn0+nUFciIMIjmE+bsXLZWLM6yjYejEaPRmF7SQRcVRVbQareIwpS9rV0aHb8A+gWpxBmHEF6paK1PCzGlocwrnBizelyyv75H2k6QgfHm1QIyZSlq7qxv7dVGvbn/Lk+eOcnrF16nyitUOIueqqOrZAXWVyyNNujSoAtNNpkSq5gkiTCBwgQapQLGownDwZjFxS7OeoPdVrPJaDSku7BAHMdzb8HZGDQ1FxQ8MHR1hqnWmqqsKGatzEMLmZQKKZX3FFWOzcFVdqZXiLqCKOkRRCFKqroC4a9/qjVlkUG5RVGUCOMorabShkkumJQLtJZOYQLJcDpBOc/ZRAiE8eMzbvYgvIfJ8AJRNWA8mnDt5Zuc0yHN5S7NTovqzS1urg+oyorcWYZViEtP0mkdQWtBUQ5xSoBUXkSiDYEKaXWOMpGScXGVMNBIYbBUHhQiMcEGuAJHG2saSBt6mkD9+XyKiAeBlSkpdEaQTih0zt61fVqNFu1Og0bqqzuVTQmTJaQMKbN1b68ShYzGBdu7ezRbx2i32zi37qvZZcYkDmk3mzQaDaLQ1WB+ljGs0aakKARZlrO7VTEdpZStEVKaWsxhkdKr/52pIxEr/5jmBbqKkTJEKE8VkXKW1BPRbDbJ8xyjDUZo7/0pQaqArFTkoyFJs0GjEZJEMWEgajA4q3SHPjVFBUBGWRZ0FroEMmUyniBFgXEQR/jovuDAA/OdRB1aa/b29uh0OgjhAdUsCnMymTAej9nf32c0Gs27BM8++yynT5/mzjvvrMf8QbzmrDL4Vturw3ZYgO941NY0B5zDOjpQiPqhPIVEHQDJme3NHBBKT9+SUmK0qft4dSFCeIN8J4VP9qiXmcO/a/YIgoAkTrxIp9JooZF4OhXSU0vsbP5VPolkDgbrKuG7XUirqgS8v2UYhbTbHaTyvrmd7oK/LnUiSVF5nnU/y/mj51/hwqsvcCzyBYdGo0Wns4CSIY1GyNnmMpeurnNle5OGTHjwttu58+QpxBtXeNZWNOIWMo4IAkUyuUnYeJnl4zusrsZ0j6YsLMSkQtJqp0ztmIAxu7uPc/8DPVqLbWwOFy88wcbGT3Hs2Iff153id9kmdr57a+ClFy9y882fxdpOzRXw6QLzZwrAKSq7wPUbd/D8Cy/x6KMPQ92iFLXA44XnX2RnZ4Xx6CwCX62xwnMUpFVzHoJFsrt1gquXYXt7lxMnjr/tO0RAf6/Pn3/3PC+++kWKanXeQvWD1b9XB2TVKc6/9CB/8idf5Rf+1s/TbLY5EJe8t6OqNBcuXOP6+hfReCsAT2V2OGqycV3eLkyPjY0TvPryZT7x8Cf+ktXBGXMXJuMJSZyg4hgV+dgqIfzEopQiiZO6nejmua2zO1nWf193NT0v7FC7pCpLjPEgJshHiOGQCEnpHNJ47h5QfxVifs64dtZ30+n8nH4um/Goan5boDwYRbC7t8fe7h6rR5brlm1MFMW3tJpmu29rLbLO7wQ/uQ+HQ4o8I1ResHBzZwttLZ1WiyAIyLKMjfXrHDl6DKv9tRiPx/Ps0Sj05HYlD1opwCFeUW2rYaCRWoaDEWk7plAlptKcPnmKJG7x/fXvkY1zlJqZEyuMcTVoqquFlabISrJJTqVjQnMCrGM6qlBBhiJBlAklIaE2hNMJKoJRA/K8ZDrJWFxcYmVtlbKsuHzhIjKoFwDnkGYWtShwxlcDy6JiOskospJ0pU0QpHhL7hLw7ebhaEBVebFLHDdotTv0RwOGwxFhFM2BnF/k6qpvXYVz1rLQbdNut9jd3Wcw6DOZZORZQSs9FH9ofWUoLzJG5S6bk8vEnYhGwyvB/bWvF/L6uw1MQBgIXCWpKg+uS2MpSuiPQKtVxhNLo6npNDpEYYwMqdvpmrwsyYoSKWKC6CijbMR0OCEDMnKK6RStKyqTQxySmZy8CCirNlGnx6SsiKOYTqNFEMZzlbuuKqa5ZlJkBNECZTFgku0hnCYMHIHyebq901fQ5RbltI2ZLmKrVYRtIerraKxB11FhZVWg3ZTuYsXG1nVWV3q02ynN1IsM9gY5Rja588wdqCDkxpUM4SyN1AGSvf0Rb167AQ6azdQDI0EtONlDBX263RatVtPPBdZRaU1VGbKppd/P2bgmCWgwyQqEDHBOomwN6AFnvdF1WWn/HCGRQcA8W3r+w81VuTNPT+EcaJ9THiQpo6F3PWjEEUkUEIeiBgP1uHIgpZ6PZ5vg866to92KqUxOfzBF24AkStE3R+Sss3bkyNz54nCyyKy9miQJg8EAYG5B89BDD9Fqtbhy5QrXrl2j3+/PDaZngHZtbW1e6TTG86dnG/sZyHw7WsWsdZwkyVzZfND+DTxFBH+PzGmxFrAHLWzfCrs1AnQGQg/TRJw3LULgiKMYe8DSuRWoWofVfp6fVaipLcqss1hnkNqBAWvAGQHGLx9WGEC9p9Wz0WiilELX+fH9fp+k0QJn2d/bpSgLirJABhHtRhuL5bHXXuFGt0vz7rvIn34arSuyfEqWTWg2u5RVyaDoswxMN/ucOXsXj3z4wyinuM9aXnzhBXSnQ1JuI3d+SCt/jjPpNt0zgjQNiCNLNwxJwoAs9xv2ohCoQJA2BQtJyDQ2NNsl/cFljh5/aL4Svx+Pd10Z9KJVx+7eiPHES+JnVT5Z67cs0lfZ6n+Yjpd46cXH+O9/67fQhIBFOYGRhuFgTDZ9AONa9XxRD3CMrw6ia4AhKcqEaZYwHAzhbcGgB3pXr73J9Y0F9vePcgDsDvTMB8+G/eFptndaXHz9Ivc/+KH3tKs5dGWYTKboCnTVroUuFidmOydPXsd5lZt0kjJrMRhtv5cTvs1RK6el8hYWoUIFYW2MXWfWOktlNdLW3Jn5ZOFfr6KYwmR1sLvDOOf5QVVIIaaY0iBdRXHtDYbf+L9hcx3dTOHDj2KX1giiFvNq6aFJ6rACz3HonO7gG5+NLec8R253d5c0bdBIW0ThQQvlraq9ueKtbk+GgcNEljhJvBI5jtje7bOzvc2p06dodX1yhZSScm+/TkiImE4naK19pSSKvJmyCm/h4hxudc+rDM74SsVUsLuzxdhNWDzSJW2lhFHE2Xtv57UXX8NZgTUVURwhQ4UQ/l6wxlIWJZPxFCEEC70jhErQTjU7W32qK9tE+4r+Tpft5F5MaVl54yVWghvYz9xOtpzgQlg9vkplNIvLS2ysbzLYH2JtRVSlqOggu9pP9oZskjGeTumtLNJbXCEM4rp+7Xd11hqSNGEw6LO8tIaQIVaENFvL9IcFyCllCd2OI0l8ZqkIFDN5gHGaZrJCu92hyAsm4zHaScK0QVnmGNPAmAqtJZSWSVVwc/AayUJEo9n06SJhQKCkV6TX97AXPlm0FEydJs9ynJEU2jKcFOyMWoSNkrW1ZTrtQ8IFKWt/TUOYaoK8IhtOEbLNME/IjKHoBlztBJjhiCBTTBqQ3r1GP6sYjR2y3UMbaLZSms0OaehBT+hCDBodacLIMM0CxoM+hIvsDtYxNqcRxgSBBSE4eVvT8+TKjOnkKqPdHYq920C3oK2WzQAAIABJREFU6+rtlMpIiipjqvucvXeVtVNdLl7epN1q00gC4jhAqZCLl14j7RiOn8kIQsPW7pTB3h533tHBuQxdFQRBQqMRE4WRV7ULgXVQ1aBnd29Efziht9BBOO/dl2cZe3sF51+bsLRwD53ukKz/MsNRQZomPvcZcNahnacqFGWJNoaFbpfdQUmlc4y2nqNoC7SWPg6u8pQFJhN2f/QUw6tX6H3mszz4mU8zye7mjWe+jXJbxEoQKYUKJUEY+82NsVRVTclwEEUeUE3znMVOm7TVIB8EVOYooeqSxD3youDixYucOHGClZWVn6CqzPiMADs7OwyHQxqNxjy+zlrLaDQiSRK63S7tdpuyLOkP+mxsbdJqdwhESCkcwnqvUl85sZT1ePWtfzvPjC6KgjAMSZLklnlt5vvonAdc2nrKwDTXFGVJx5YYF+OsO8jr1oZKVNjMK3/9nGvnPF1nHcY4Gs0Gt992G9po1tfXaxqHn0u1NUgrKCrvRQqCSleUtvLxm/ONm08EGpeF95c1FQ7r9QTvUVDb6XZZOXKU/rBP1Ei5eOkN+vt7WGfZ2d5iOBrQHw65/Y47aLWa5MZyYzwlPXUbcTtl/Ud/wXg6YX9/jzfOn2dhocd4OmF7fZPJdEgxHnByZbHmy8OZpRUWgpC8/xqN/tc5tbhFd82QJAnKOaQt6UQxzlmKvKDKDdOJxnCcEyce4sqbjxOcLnw3yxqa4cyN5P17vEvOoLeFcQiSOCYKc18irncEZv7MmkbpFGBRccWR42t8+Vd+wVcGhUVYiZWOJx9/ipefnyIpcC6qx1JYnwefzem3Q0hpCJQhSqJ3eIf+1f39AeUkAZviVXPyAAgecsd0wmF0jyKP6e8P/IAWjvcWKuPP3Ww0PT8myOprIJHMxBYChJyb2iAr4jij3Uz/ijiDtVWOVMjA1aowhRAHgMynxPvK5MylfsYXdNaQNmL2qpyqKghNjNEhxi9b3itOgMn22fvaH3Dy0ut0Usl0p8/1736T8md+jjjpYZ3BojDOIp2lMhqXZ6h5TrGfFJ09qA5hLE5rdFV5NaP1bdFZmyaoeYjeDkW9g6DFH1bVOZ9hSJ5lFEXBzvaO9+XzfTDPp6lB52QyJU0do9HoQPzyFnL2rBoJ3FJVMMaganPbKI7Y2dth4WyLzkJEUe5RmpCltZSTw6Ncu7pNnkW0Oi2CSCDVFGuF33GWJXES01taQIUCJwNiIziaS8QTF1m8vMfRvZJkzbBz33/BdKVFfOHfo7/6AsHf+QjHbz+GE2Om0ynOOY6f6nH9csn+zog0tYSJREmJddRVyAKLYe3oMo1WShx64KWxKBfUqRsBYZCQmYKNjV12B164ECddkkYA1jEYlozGOe12ykKnjYpqOxUbkBnHCxc3Wd7L6O9eY5wZVo/dRhLk7FzaJi0LlIp8NjWO/WIdGRuSpD2vJB8G/YeBvxE+E6gqJIORQWvDJNfs9CfYYInVY4u0mg3StEEcRx64BN7vMqwgMBXJNEcMt6jyCUqH6EmIS1psnmqyN/S54cvHWzQbEaPdDF3Bqi1Jgx0WAkm6sIyKA1woCIRCGYEyAVL5CoypKobDguFUUU4trdSQxCCk5J6khZMQx5IoGRElY3btFUZba9iqiTYVla6YFgOa3QBrJD9++kVOnEmIo7CmLyikihAqZnNrn2effYFWq0lRaiobc+XNPonMabbaNFoxaRT718w2Nc5hrW8nh2HFcDhic3ObOE7I8oq9rYpLr1X0d0Pc6oSzt7XZ0QnDYZ+i8CItMaO2SJjFSKZpynSa4WxJPhlQNRapIonSMUjtAYWwZGVO9sRT2O9+l+V2i9WjR1hcPUZbt9i/vEa5twtKIlVAGMREcYMgiNBl4akPrkAaS6AEYSAZZRVOBMASvd4Rmo0eQZLQbndQLV/Fu3btGkp514C35d2FIe12m6qqGI1GPPXUU6ytrRFFEaurq/MkkVlcnZIh2foO2xvrxMbRO3Oa8M67KJwksj6tAmvQznjz/NqTdCZEWVxcvGWuORCD+Mz1yuq6/a652h9gipylbg9TaXRgkNYgrMRZAZUX/VCDQe0s2np1uNV+Mx4EaR1N6T0XtdE1IPT3WCUE2jlKWbf5jMVpP4fbmcWOdhSl5cp4wvEk4WTl19iDDtO7XLXq6uznPvfT/N6/+z/Z3t6hKAr6u/tY59XE2zu7KBnw0z/9+Tr5RNCJEvbGI0SriTl+lBs3N5BOkmUF6+vraKOZjKdsbW+hopA77rrLZwcLRxoqTvYWuHLxG5w9scHSSoJMPY0jdIpW2CUQAltYskIxGk65eQNOnvwiDz3wC1y8cILnX/wqy8sZo0nI6uoaByWN9ycofHeVQYe3cVCCO+84wtraJXb37wEX1YDL1XxA3+a1KKSY0Ft7gw/ef457773XtwXFTIjiW8t/+NWvEEYbVMVpBAJTVxSV8xfW1tYZ3c4+q0cmLC8vv/NbFIZGIyIJSpyo5qyJt6PxOhcg5YggzEkbCd7//z1ZL84vUBQH3HH2KEfWLnFpfAYrBMJKQOKEnTdzHYJAjlleu8q5ux/9S/IF67PPbFZmHBMx48T4Npwx4OoJQ+BqlaPnCRqtMdrzzDQVk2LsuVpC4ps9BaLmNe29voG9eoVGGrBw/Bhyd0Bjf4zK9pBGYLXBKoOVCiM8cLLGeBsZ5zwYrM87a0VUpkLnOWY6RbdLtNFIQW3O7P0FpagfNdl55vqvtfb8oxqkHVbsAezt7SGlnyRGo3Gd/JCR5xlZlqGUYjQakWUZvV7vFtPY2e8JgoA0TQHI83ze6pl5L/r3FKBtQemuc31rC2NyLJJQBSTtNqfu6LB5I2f9+roH6cGUIGiQNpssrvRotFLCuLZ2EAKTOc4sf5h7/uu/R3npPDf/1f9GcONpshMfYnvxA0xat7O0c4myNaI/epn1QR9rfQh9ECS0eqtIlbK9MaDYzpCiAgFx3KW72GVxZcEnooSSKPCA21mwViKsnIuAhFT09yfESZswSlGqtoGx3kqmqgqG4wnZZJN2NyVQIUUR89rVksnUcPfpIcePKlbXTiBQtHoxm/GYwdRXsZ21SCPIbZ+0Ef4EIA/rqp44BPy9cMiyN85Y39oDYrIspKhiFtZa81SIMPRxa2EYEAUezFcSqqs32PzK1wiuXycOHMWpVeyRDlq1GCWnsEsPIsMmw/JNWjvPoRQs7g1Ql/+UoCzYjxuoz32ehU9+HBGmfuEI66QMAdZGvlqVBVhCxlnANK8w9FHC8alEIYTCWFBBAyEz7PF98sywe3OpNk3P0DbD9hP6e32C7pQ4igmCAz6utpbxpCRtLqFUQCP1i31ZVvT39zlxJKXVjGkk0XxTpdRhuoMfw0r4jf7e3pAb13e4crGiv5HQDFc4e/I0UmquvH6BxeXQ8/yMo9FISeKIMKij6wCtLVmek2UFzVRRmQ2mkwZheAwpJNY5RsaxOekjNRQvvsY9StLtLTG6eIG9O28ny/fZH26SSp/B7u+xgDhqkqQpUzGiqnKErv0bcQhpcVYwzgKkOkartUaaBsgwJE0SVJLOgd/Vq1dvuZ/fOu9Op1PW1tY4ffr0nDvY6/U4d+4cW1tbvPHGG+zv7/uW8HhE9sQPGF14hcoJtpKUk7/8K3Q++xlyqRDWIYxBu4pSG3RdaZxMfPRlo9G4BZAeGJGHVPWGQOcVk2lOZirGgwHTae43OGEIys/zzjmc8ik4EoFzpp7z/UapqirGoxHtVpPV1VW0rrh2/QZlWf6EL6I0gpnhhzPOU2iswVSV93Atc3+/G8NompHnJYeqLTUcendrmXOOI0eO8Eu/9Mt8+9vf4ubNDb95rQV3R48e5wuf/1mWl5bAOWIh+Kk7zvLVF55nP4lJO13Gl65x/ep14oUGsYow2jCcDHEWvvSlv0G722XWVjfWUbmy5qJCGjjSKKUdxz74IMvIJiXjiaE/Ktm8aWl3H+XB+/8GMmhw9tzfZmnlPl567f9CW8Hyigea8n2cRPLukI/w5GeE4NFHP84PfvBnvHnlBqPsNpzQCFcbIAu8sk0Yer3XuOPMVT718S9wmNeGsAinuOfcndxx1vLa6+e5/MYqlgTQCBfVvAYHQhPIPW6/6wUe/uhddGvH9p84nGefnTx5it7KN2i0dhkNjvBOPECBptG8SrdbcNvtt4EL33uX+NBn++nPP8Lzz36PzZt3MCpOYaSsPb38YaRDuZLTJ5/h7rs0Dzz4wb86NfHs3Rz6HA6/Y5fOIpxFSQ/Wq0ozHAwYj8cHEU3OEnca5EWBykcg6oa9jYlEiQkEW6MJoU3I8n0G65tURclQxoxli3ywjxyBFJIojmi123Q6Xd+COWQtMzN+tfVOOasKdD7lzNIye0VGWaa+gllbGxy+PIcnzsOmr29V6M3+XynF2toaaZpy8+Y6o9F47iO4uLg4TyTI8/xtX3+YWD1bHN76fc04kEGoGeYvIZv7BIlfrIwTjDQYoWiu9IgaS+SDFuOJptVKWVzqkTYTwjggrInQQjsuX97loftOs3B0kTy6k53Tp4mv7RCM9wnaJVpnDNsDhu55rDXIUNdG5ZLcWqbFBYxIaPy/7L1pkGXpWef3e7ez3SX3qsrau7qqu9WLltaOJBDCgIZFaGICJjCL8Qo4ZsaOwDjC3+wPE0T4iwk7HJiZCFsEmLBjZqxhEAbEomUQAm1IaknVXdXdtXUtmVm53P0s7+IP77k3s1pqhlY3AZ7gRGRUVWbWveeee+45z/s8///vv3Icv7uM8AUqgRMnN8i7OUlmYiqK1iQqQQmFk+GB1yxlxGVkeYHJuyiToVtdIMSxkbERGjwbjdm5OwThuLHVo5GP8PCpwPe8/zirq4br12/y7JUbEDwr65pqUDIo71G7HqKG0HWxc/EA6qI1HZg2eSWERTSZ94r++gWCM5TVjOGNK7hQUeRHJAVKxq5tkkSnpVA0+7tc/a3f5uTN66z1OgTneOmFLZq+Yrb6JNr/B5ilkxidMpueYjZLuGT+nPyLlzldSfrdLuWs5OYffpyVxy9RnH2YxBgqV7ady4BT0TiVJzneV3SWMzrddZTuIoQmSXIQbWdHZBA0riPoHx9zd/suWhfIkJGFVYp0icoetF3XCEIXLeyvKkumkwnC1DS2aXmc0DQztBEUhSFPo2ZXm+jsnxeDPniUO5LiExI6nYKD/Zo8nOHkhYfpZEs4vUPav03RK7l3cw8QrCz3yVKDSWiNHXH64rwnSRVl2VDOarq9wKy+wXDfEvonEUnK9rSkWOmxrDLupgmld3QHQ5rf+wM+/yefZfdMxrGLBUUhiJB6S/CWuilbU8P8WtXmgreFaGMNs7rHytoqaa5IU43UGd47ysk4jrBbF/StW7e4cOFCvD6+zPGb5/mCJDCbzXjhhRfY3NxcnFPD4TBKXqyjuX2bpRde5IRJMJ1ldrZ3ePFf/isudHKyJ58gqAwXPME2lM7SlCXj8ZjhcLhYeH7ztTte2+q6pilrqrIC4Xny9EnEyU2k8/H6rDUCUB5QiqBdm0Ay76DPE5lqZrMp+/v7GKPZ29uNnc/hiMlk0r7/8f1TTqFl1JQCrawojqFt1WCrkrKe0e0kvLP3EDE4scJLjwqtlONV3kOPXktPnT7DT/zET7G1tcX+/h5aK1ZX11jf2IiL0LkESXgura3wk297G/uzKWvdHrPHn+Azn/hDbt+7x7CZoKRi9dgG73/vd3Hx0iMxMo6AC/DFF65xu7T0j7+d/d3nOblSs9TLUUFQTUv2ByW7uw3bOw2zep0t/xS5fAfpS3d560MdCpmwtvEU7129hHcWk2S8Vr/B3/T2Kttg8WAKBG976zv4zvd9gcHo43zpc99PWZ7GCxOlYhD5gN3nePrtn+FH/t7TnDt7Lr6HR4GUArTS/NRP/yC37/1r6mnCnTtvI4QccPh2fZHLAx569E9509O3+JEf+a9id/IVR7mB4yeO8+a3LvHs81/ha186iw29b/mbqRhw8eFnedvb19nY2IC547c1erz6YxOPz3u+49184f1fYTT5Pf7ii9/DZHqegEHEUC+kGHLy1Bd5+u1/wk/9xIfo9V8L5/DoHsxXZUCIhZ0IkVVnrUX6WJRaYDoasbe7i7WOJDGtMzR+mH2ni68ttqwZNWPS0FDYjCAVvpY0mebm8SdItr7GifGECRkvnn4T/VMXKfom7ocHZy3793cZ7h+wsrZK3olRffOCMGpnGuqqpBmPWTKaM+tr+P09JtMpzrZOxZa3Nlcazrtyc57g3LE3d+21T7L4e6d1TPb7fVZXVxduwHnA/DyLdDQavaLzb54QIIQ4In5vnyMcao+EVHSWPKoTkEq0qoRA8BLXWJpyl6AGLGXnae4UZHmMIZNaIrVEK02SpOyNx9x6/gbXl1+gqwvqF29ycO0ltlTKQb5EOfgCB+mXke+R5JsNZB4h53iQyCt0jaepJtSTa2R06Oo30NRdVKKQRiC1QGtDolOMSvFtnJhoj9/8HPLBo02MaFM6QSux6NIF73FyPna0eF8xGwVGk4TORoHUY4RyCJlhlGa5l4KQiNDDr3imk5LJ/pi6ntJT6cIocpTJFjslmjRJY950OHQtd3rHUF5jrWU4chzsbqNVvjA2zB3xUkrSLENIzd6V+8x2dihEoLe8TFPVZNMt/CxnUB3Hd9foFH2KToJ1FbY8iU7PIO2fkemU/uox2L1PPhrih0O0CZiOJpRJu1A48rxKkyQrrKwep9s/jk4TpHSYpAvUSNeAt3gtSLWh2294+A0ZO7c11bhHJ18iM10CNTawkLnEz0OEiSfaMRrsoE2Kbbp45xmND8g0QOSLKiljYXwEyeS9x8kmKr1DwDhHkhp6vZw8ywnWEeSI/vF7LG3UjIYVZVmzutxtBfbiMMe5nQX5EBEwSkiCi871pV5gMrrOwcBi5RKkPXomp1hbYvltT3Lnd27h9vewNAwriTh/huAV1mfUeKQLWFsjyjFWKLy3sTvpHc6DdQLrAtanpOlqO/aOiT3SaA4GQ0rCIqrNe894HDEl83HxXNNc1zUAk8kkLlJnMyaTCZcvX2YyGnNve4v9/X2stSz1+pze2IjMyTThYDQgwbE+3Ofmr/06Kz/yQyy9811UQeFtTVVXzKZT9vb2FjrFcOQ6Nd/itcxRlSV1VSOUpt83JO2J1YSArRuauo6SIy9QRqN9lCB4oVonf4NrKprac3Bw0BaYFVeuXImO4NZwUpUlCBEX/VLQtN3GeKJFcLdtAk3V0FhP0SlYUgbVoozSbsJfdkd+tZtJEs6cPcuZs2e/5c8jN12ihGez32Gz14mF3unTnPrx/5D9vQGTyZQ0TVhdXyNLU2LdEmgC/NGXvsT/+YlPk5zY4OnzZ3jbk7/Ilcv/gmsvXCdLa6xtGAwdibnIuTPv49T5d/ORZ17AnbrIH27fZnf8DX74qTe2WuaMBUyB//92BeFVFoMekCFq/pSW/PzP/kdY/7/T7f5Lnn/uSba2LlHVGZ18yObJq1y89Awf+uGH+Qc/+iG8dEghFgaNeY4uQvD0m9/Kf/lfTMj1x7jy7G1evPUGBsNjpMKxuvYSFx/+Ek8+OeIXfuFnWN9Ywb8S2lHM8fqKH/+HP8aV5/43puNP8cLV78C5Zeanq8Ah1YDzl/4tTz39dX7yx3+WeVcvBIX4Nt/Q+Ydaa83P/fx/jDa/xlL/o1y/fomdnXNYqyg6A06efpFLF2/xn/+nP8jb3/H211Fl0GLBgyc0FRgFOsF5i69qUBLfwP7eHtPxkG7RpVt0MEnEP0gpCe1azztHaCzltGQ2HlOPZmiZoISmm0jchYf56soFnivH+F6P9SfOsnZmGWXmqtKAt7HFX5Yz7m1t0elMWF5ZWbgJ7ZzmPxqjRlMuPXSGXifjQnKMr958CSmgbuoIL/bRaOGlx0m3oPo3rXPv5XFRzh/+TlEUC2zDnKHlvV9wveadqCzLFtmjc/SN8g7nvnVe6VGX4PzfJjFkXQ1Fazhp0S4hCJxrMKnApDXl6DlMfx1lVqKMVtLqlgx5UrDWS7Ci4uN/9m/40h//v3Su3kGOh9w7f4b99c+wevoyxZl9xKkuJmuQWsVx9eKmrAiJxCSBJHHoZMx47zmMegShNmK3VcZs2jQxJNJgp5EDGDWbrtUIgbPEpANjWlPNYSyhcyFGtQWBM11sbjnYGxBsg3MVt3cNn/i3tzi2Zhjub3HqTB+paoLLIFiSjqbbl+zerwgtReDoZ2m+CaKmyx/9voC6nDGdDkEZpCkQpoM9uoA4UtBXdQlCYS1Mi4z90QHy3jaWwFAKRiqN55OfUlXT6Lp2Fidq9hz0dc5kWuLvXKduPMPEcKLfjzLcssQ1RzEi7YLFg0z69JaOE4DZbByzpHNDcB5RRY2rcqC0JEkkPtTMplF/nJmo5wyyz+5M0jQ2AqmdxHlBlqVcevg0X3rmJrdv3yQr+uRZSn9pBSMke3szNlbzB7ifJk2RrXMzVAHpAlJGZ6tRgizTJLmnGpWMd+6jlgKb+QquHtPpZGS5IUskqdYxK1vqNknC43ycEIngcZ3AaDTBhIxeJ3B/cJvtwX36xx5mPEiYTcbIzbNMv+O9fO3WNUI4oDjTpU49s8aS1iCVx4ZWc+1ie2A+3rbOYS3UjWNWWVzI2xhDhRYZShq0UfSKbjT6HCkG54u7W7duURQF0+mUqqoWI9p5RrEQgoceeojd3V3uvHSb1fU1Nk9u4q3DNZaVYxtcXV7h9r0tcmnZWFmj2+2R7uxy748/hX70InVIqWxFXVdUdXzMPM8py3KBlDnqLpZSUlc1ddNgEtNyTtvPnFRkwUVTX2WZlCUH0xHDqub+tGZa1QghWcpT1ouMfqLJFrIA31IB4vPNdZJZntNYx6gasVfW3J/OmDQOAaxmKeudjG4iKJQh7/VItcIISa0VwkM3S1HIeGsPc5vXX+2OdghEe+DDzitr7+JiVbZTwBCfEC9ABYkxORsnco57CNIv5GteBBSBl+4f8NHPfJZaKobP3+XK3pQffdM/5Ls/8EZGky1mk/0ogch7LC0dxyTLOCc5uTxkW2lWTl7gK9ev8PRowLmlFUSbyPagXvD1qghf+Rj8dVSdr6oYPIwhipiKTr/HL/7CP+Ld7/pT/viPP8u1a5+gqS15Ybh06Qwf/OCHefOb39R+CNsXcNgUZPE3Cd/9ge/k4qWH+NjHPs5Xvvqv2d8fo6TkxIll3vWup/iBH/gg3W73cD9eYQ9jNyBw5sxpfvG/+RlS8xGOH3uJG9eeYDRcIwjPUm+Xsxee5Ykn7vGP//FPcerUGeYV4Gs5xEfb3Z1Oh3/yT36e7/qur/LJT/4pV5//KoPBkLNnN3nyyUt83/f+AzY2Xln7+G1vAY6ngYk/wE7G2GqASwxNWYES7Bzcx9c1/f4yaeuaVW2MkZTyMEHDeZx2oDRCSUb2gHI8IFc5NQ2bD+c4egjO0F0pOHFqGZP4BS4mhIDXHuVcS7k3TEcjvHfkedGOLyrK6YR6sMcbTpykV+S44MiV5NL6Oltyj62tLWwbrWe1alEmhxf1iJIJeE9byFmcbxYJIdFIkqJVgneOe1v30Dp2myaTMd1uj+WlZQiSbrfL/fv3F0BlpRpse9LPWYzz4mJeNM6LwLk7sNfvIjKJT9tRiyTGo/mACxqnIpRbSI8Lu9jZLQirzBO0gwBHQ3+ly5Nvf5wbz99ia28fnuiQdpcJ3TucOP0sqycCpuNRxmKS2IESrR43MGcLxpupavWWwY8pR1cJ/hiCVWiLJd9qSiNbzuF903ZdYpFbNT5q0dob5RwiHHzASksNBO1a3EtK3lOkyS7V8Ca+OMWXnwvQ3OJ971ojTQ2KnGACwWu0S7CqIZ1mrVSBBwq4BTLD1ripxXsO2W3eY1RDbhwew4kT67imoirL9j3xOBuwyi4clkJIeqvLhEcucaVp2BgM8ErSPPlmktObdAa7TEZfxnIKJxW+mnC8d0CeK/bOP8Sz16/TLUsabTDveAssL1NVM2o7x4g0h+5ZF0ebPghm1Yw81eQGQnCoJMXVDiHnaKeoE5VSkGaSR57UjHZ3KPczJH1yXWAPuuzdCcz2IUs9na5jZV1x4eKj3N6e4sQSS6vHOba+ThM8+7t7jMsJjhhziIiSCWlSRKIRwSNr0WYnC4T0LR9UoLVDZ0vUNufOi/tIX3PyTEaaaIySGKVQbcqQMRE4712DbSQhNIQAiZcYaWjqmryTkmcJy01OFkBWFcpFFt7aI4/QOXeGutwmkfcJfkZdNQzDjCVlEBD157KdFc01XxbqpmRWwWg0JjXHoh44CILwMX1IKLI0wWfJN6GhkiR2ckejEXVd0+v1FovGowkkvV5vUaj1ej06nQ7WWgaDAYMQWP/7H+LWR3+Lc9u7KARBaZwA3zQMxpMYJ5lJut0+fXVogqrrmr29PWazGceOH0MJiZMOgcR7y/3ac6rXIZMSoQGVoBGE0OC8BglbwymfvvI8+2XAShVzhRHgHUlwbPZ7vPviOVbXNxhcucx4MsIRED4wnYzo5gWm2+Xa7W0+98JNdmqLlwpUVIpLZ9HBc2G5xzsvnuNUlmDkHBYPBIFOzGEJJP4SvWCIkqUgAqNRzZe/cYMbt7dQSnPpoWM8+ch5slS177dDim9VnhwmnQAPtoXEkVJMtr8pLISYhb29O+Kjv/N5bryg8KqPbxyXt8b8t7/8G3zgO57gXU+8gbMnLmDk/HEE1sNffO0Wn/n9Zxn3uvSPr9FMLP/r1z7Fz/zAd/DY+Y1o0GyNoa/X5gmIEI25ceAojkz+HAGFFwK5mJ++9uLw23ZLzFfuSiu+67vex/ve9x5+9Vf/GevrG3zoQz9MkpiX6ar+3Tt7+vRpfu7n/hOapuGXf/l/5vHHH+f7v/970frb2c3AI49c5Jd+6b/j937/d/jiFz/D7ds1AcvpUx3e/tbH+d7v+yn6S6+gP3yTeQTNAAAgAElEQVQdNiklb37zm3jTm97IV7/6DL/5m7/J//Df/yJJ8kpu6Ne2hbZIX+0XNOs9auuoa8f98ZDhdMh+VeI8rCyvkBUFySI/+DDTEikOi8FFskT8XrqseezhR3jmG18nVY5Ov0OapdFooj1KGmL+a9uZcYerXYTA45nsD7BlicdTj0c0gxGnV1ZpRmNuDgfRPBRAKsPa8gqDgwOm0ylpkkQXHA+mCMz37bA72CzGPYduvVgo3du6R5omXLz4MJ1Oh5s3b7G1tU2v20cpRbfbZWdnh7IsF90BEHEMo9SC3QWHmZ3WWuomisKbpmFzeYOx0XijUUKAChAkeIf0IWa5ivi9omuZ2nvU4QSJOx1xKdZSVeCt4PTDp9jYXGc0GlCXFuvusT+9RnfdYwqBSSTGxExmpRWoeQoI4H0cz84NW0DmwNkx4/I6ad7FeY11nqpqmLoJSVNHdlibIFE2DbOyBCHRyrTQYEmSGrIsx9YNs3KG9BZcm3EsDbkxPHo+ZTDeYjgaUfQyHn10nfNnuxgBQqiIFWHOa4QsSxmPRzh3mMYy75bE99i3N+jDY++doxze4uDeMyBTkuI4p4+vcPPeLtNyRpJmaBNhvSFEfhpCII3h0rvey7XVY9w52KfIUjrH11nLHVI+j2Ibk3wZLRuqDLQp6BSblOfOsb20whBJ//g6p598HOcEdV0SpIjSCG9pbMsxrCvGozHHV1dIw4zZ3l2c3QNh8c2Th5zF0LLiiONaJRWrqx26vYrd5C67ty2jfdD+DDvXiYsJAggHoqa3GhiWKflKZFeWVYX1Nd5WKBFxX4FDva60DQKHb/Vz3rsYfeclvo0xJEiyNEXLFIHgzvX71FWFWVwr4uLRaEOaFSRpRl1NgYhCEdajJWgjqOtAKjo4m7OxcYK86EXEjYxTGB8CHduhKgum4w6JuU9H7DObWPYPGpb6AmtChNrHSgHnPVXjqSrLYBANXcu9FBuaqNELFu8Fzmm0lpg0feB+NE8gmRd+w+GQEAJFUXxLpmiEbKsFj3DeRSxry6Pv+U4G05Kbv/VvMMMhyXjCvhcMjm3QSwvy/hJJIpFSt2k1h1KXuav45vWbnDp1irxXROABij945hu849FHeeuFs6RKIUWbNUxOaAKfe/ZZPn3tBYIpUJ2i5UdGOLQPnuAaXprN+O1nvsYHn3iSE6ce4s7dW6jhBI0izTPWT57m0y9e57MvvoRIMlQvx0gTNcGtVMQ3DVfHM+59+Rv84FvexOMnNlAyzuc8AmP+avfnICIK6PNfvsX/8a8+xa0DBUkf8Og/eoGLp77Iz/3YB3jk7Dqo12LknG+i7SN6nnvxPv/jP/sYd8cFae8JpOmjQqCxQ27t3eOjf3qdz23vcK5f8INPvYXHzpzC4fj9z1zhI7/1F9jsJKrp42YGaw07g8Av/eof8o9+8jt521ObqOiI5ZVzmV/dJoOPelng9vaAF2/uMqmnLHVzLp7fZH0pJ67vJAu232vcvu0jvojmakX+c61P5CalD/zs1Thl548RzQF6YRB4pVifV3gUICBEoNcv+LEf/TE+/GHLb/zGr+N94Kd/+qdJklbsGvgr79ur2V5uRJjr8Y5GFP11PC9Anib0iyhcdrWjKcd84/qLkBesbZ4iyQv0PNLtCLNPyFbs5ANOHIa1A/g8YzaY8MxzX2dqZ3R6fUySoU0WO236MP1jLmAO8sHoucxnuLxmuLdLMx7RV4qNToeeVmStwN1HxwVNY1ECTpw4wbVr10hMcqhTw+G8aovPufjdxtGRjdDSyWSycAwKCePxiP39fc6dO8Pp06fpdDpUVc3u7h7WNaTtcVhaWmJ3d3ch7PY+4HVYpKrEc8YvXHp1XTErp4xGI3q9HlmeUWpFMDFFQMgWkuSimFa1o+sQIMkFTT1iOr1Jbk4gpaIRELyjljZq8IRHZQola+7fv0rSnaAz34bUS7RRSNNqDmXrLAS8twhHlE6IqOHUKaSFZbx3i1l5BqlSGtEQvKe0FU1T46wgWEvVVMzKkvG0IklWoAXCA0gVP6PBO8TiFBHQWOrRGCaCnBV6HYnvOoq+4VhXkspYuAopYwazazvJxO7L9vY9qqoiTTOsnTu6aUeuh67Jw4gwS5EGVE/jXEXZXKeqCxJl2N+9jzFpC/n2GOewUoEUeOfo5wkPv+Eiw+GYyXgI7h7+YJvjS5LCSDAWhALnaeyYavoca90OKuvSLdZZWV9DOM+smiK9RKMitsdZqsYyKyuGgyG+muDFXep6h45WJKkhKIMtZ21ha/FtF9Y5j20CSkuKLnjbZetOzWh/TKq79PM+WqbEmkjhiRSAcq/BVp774y10OqCuonSiGg04ezIFb7E2FhPWNviyvS47h7PznGmLcwLrLXVdE3xGYrqoYAmiRuiEWVmTdA/7PgskizYkaY5zDYiylUfMyaWC2sHBMCErTlB0VsjT5Mhiqy24tMPIBERKOWnoFxYjK8bThr2DMUURQflzKLILnsYGJpMZVek4cXKDqhnh67LNxPbR4CEbMiFJjFloBo8mkMz3wTnHZDIBWKR4xM9/LNpWVlbY3d1doJucc8xmMzY3N0kTw9pDD7H1rrdw5fnrqFmNP77BynvexfryBjIzaCNQIu7DHLztnFvIVibjKS/ducOxzXWWiyWszyjzLp98/kWyNOOdF86hlEUIiXOCP7l8mU++cI2QL5OkGRgdc+fbTlJkAmqUNszKGR/7+tf5yXe9g3eeOsm4nJCqhKTX4w++/nX+/NpLyKyPzDKUivfy+MGOrmShDcEYhmXF73z+yyx94N2cX19Ch3j/VGbe3PjL03kFgctX7/I/feRTlPlJOsfXMTqLXdR6zNWDXf7pP/99/ul//UOcOrb8am55r7wFyWAy41d+7Xe5PV0iW79EUSyjO2k0i8xq1LhPU92ks3mBcb/m1778Rf6zzKCs5v/6na8QivMUvVOk3R5J4rFlw4w+40HKR/6fz3Lh7A+xsZTy6gbk/47dDpL9suRffOwL/PFnn2dc5TjpoC5Z6wl+/Ifexgff9xRavT6FILw2jgpwWNAc1jXhW/zsr14IHv7pOfrfXn3hNH+suD9JEvESwRPzdYm3tr+meuxwLx4oCg8voH8tzwUQAjpJSfIOznka4+hMZsjSkq8UJFmEUeuXBZzPXZtxwuC/yZihTYIyFYODfYpu1BkqLePFQ+lFhJxWOo5ovMO3kTRzo0FQhipLSYxhrdOjqwTdbk4n76ATHTt/Ia5IbeOYVBWuseRZTlVXiMnhPsVEAnekGIxdurkruKoq8jxnOByS5zmz2YzZbMre3u4CCzF3BUbsTIybmncbp9Npqyu0pKl9oFtwdFU/f655B/Tg4ACpBEIbtMwRSkXuomzAVcwj2qQCqQUmDVTjA6pyihSRyxn34fCm5WtoZiOa5oB8BaTRSKWRKsZTReOJQasMKZJYJPgSh4QgCL5BqJhpqhOH0GOm0x1SsxJfj2qom5q6bnA24JuKsqqYjIY0jSTNotDdt9F5ddVAGC9yh4ML2EnN8PYIEwy9vEOqCgQKR0U9qbh9ZUQzc5y+uIJKdNQ0ynrxOrMsI8s6sQucpkg5d5DHQtA5/c1dYFsjJGR5inCa1DUkssbaku0Dy4GWiHAC73ISo9HCEKTC+gZX10yqCQf7O4Rml67cpt+V6DQhVyCUIAiFdjWNF6SJx0wPsLZiNIyaaeMUKvcoq+KNkZjCUVY109EBw907ZGqXTFb0CkmqDEoZvIKmLgm03E3bQtltQ92UdIouoV7iG188YLy3QpGskCYtAF2mCOljMRgCQdd461DasDv13Lp8l96x+wg15vh6n243wzUOKz1SCAINynmkoC1CQ8wStpbGepqmZjwMaNGP7s0gSNIRS6t7KGOZ7XlCiO7dhZGrqvDBY+uyhdX7tqmkcARmlSRTfXpFQZIaEhMXfg8YWaxDiIoUhauOxyi4wpEHSVWVDAYjjIn5uxGrIwk6kCQGrTSz6ZSyniGbPk3WQWtFDK+zTCcTTK9LliSL55t/zufXp3n28GQyYWlpaXGdnhvV5jzAOXlhLg3ZPHWSIOHUmVPsHDzJzsoJnK3oLi9x4uFHUUWBSQWJlCBMq7U9PIcfKEhDYGdrm+yEASeRac40SD77/HUeP3OSjSwHKblxb4tPP/ssPu2SJjnSGKSJHE0lYjGmQiA4QQgSlcCkcnzy2ef4yfe9mzOrSwQC1/aGfP75W7ikIEtj6oswOl6/2tGj9wqh4vVIBNj3NZ+6fJkz3/leCq1xBCbWtmr1uXmPb1kROSf4v3/3z5kma+RLx8i7q3Q6ywQZqEYjpErZ2y/57U/8BT/7Y9/9Ot2bBc9cvcOVO1OyjfN0On3WTixz7uEOKM+15y17twPuYJ8Xv3SdR95xDC8Cs2rKs9/YY2h7ZEvrdFa7XHysz/qG4M6thheeT6htydbODs9d3WLjbWcJIvDtRdp+81Y2jv/lIx/nc1cadOdx0uUcIcDWFXuTLX7lNz+N0vC973sjsc302rfXoxfL4bs/F1Ee/d7f1PbyEXXcnyBcqy34m96/v6ZNtA7RJImRZ8FR5DlFp4Mp8li0qZZlJw+ZfXNswrwIPMR3+IVeTqcanaWo5OhjxMxQ1YJfjVYIqeOqXEToqvC+BUZHjVGSJbiyouh26eRFpL4nbdIEAu8DSjkGsylBwMax4wiIIN6mYTgcLoDE822eFDDPPi2KYnGxHw6HCxzM/v4+n/jEJyiK2Bksy3LxOueF8cbGxuImMJlMmM1mD3QLQggL1qDWmm63y9LSUuzG1CM6KkEpSFQfKRJCcFgxYb7SxoFv9VmxU1Yynd6HkKCdRCmQMppOvLPYyjGe3EeqGq3nx1u2ekCFUglGZSRqCSlyAg0NIxpNZPhJj5LgVIgA38QyHWyT67MkTUAYQdmUlNNpZJKVJaNRyWA0Jeus4VxMJJBOtMxyQdNYIBYx9bhi9/o9+kmPIuuRzgXvAlxIcc5TNTXbNwcIMeLRNy7hRKCpfftex3SEjY3jXL16JWZnt4VfkiRtIe4WncF4I7XYpkTJEN3YHpRXaCzIBttMuHv7MqPxiNX1TfIsj+MsEaitYzIdsb91A18NOL7qWOnICGU2hkR7pNB4CVIlKK8QKiApcaFmdrDFjRe3mW6cp7eyRpKlUSvmoawbxsM99rau0csb+quBfpGRGY0xAaUFQSTUdRXB7M63co6aWVnhrGOpt8rnPrXDwdYa3bwfIxh1gpYGJaMbuZXORZe6CqAMx/R5xtMeo93nSJdqBCV1VVFpjZA1IhhsCGjhkERsiPMe23hq21BWlsmo5uB+xkZ+CiUFLnmJ5WMvsbxmmQ5ShtsRGq8dOCnaLmJA1LJ1+bZa2tbgUTcO63ok2RKJSWMHvp34zLuD1lqstAQcqZPYrMN4nFOoKUqWQKDTySnyhETrVhcXYoJKJ6cqG6azGUWmsH6H4YHHizN4lrHOUQ322Z/NWN9YZ3NzE+CI/CAsPsdZli26g0mSMJvN2N09XDxubm4uCsSqqtBa01Q1GoVMch554kmW17YY7O2xtr6BDpJpPSVXKWlWoBLT9s3CYuw8vwZ7PD0n2B9WbO/tsLQ8h93DznTM1+/d44PrjxMkfPbyc4ydJC1SSGRMZ9GRqWikQoT43lphY9yBMOSu4MXdPZ7f2eH0pUs0QvDnl79A5QU6OewsqnmjQKqICrJtRrbXqARUyHjh7i53D8YcP7PJ1HuuPHuZR8+fo1UERmfvt7i1Dqc1l2+MML3HyNNVVjf7PPVkQWYkz11OuXE14GdjvvLsLWZVTecVwyVezRa4dmsHR47SGSZNOftQwfufjiEGn0LxzP2CWi1T3b7Lm+VZ3vLOd3Pm2Aa/90fPQ5KhTcLqmuFtT2iOL8HVjmRnq6EcJFiVcndnn8A52qHt67DH8EefvcwXL1ckqxfJeutkRUYIirIaIlNNiefXP/oZ3vP2J+hnr4+P+3UqBufb38biSgCO2AeUR6SWfxv39bVt8/JWK9UiHxzaBSoj8UaB1mhiwfVyyKnWelFAzQudo5pBEAilEFqBajVDRGOCkgolorMwz3OUkpRVGRNInG9dcIIgiXBbpSE1JHlGkqZoE52VZTWLNxYlUdqQFznCpPF5QwvOtp6qrphMxozH40VxoLWm0+m00U6mzWNujRQ+djzSNGVnZ4u9vX329g4wxrC8vEzSpl1Eo0urSWxhp03TMJ3OWuyMYz7qz7KcTqd7pFiJx6gRiiAiJFmLLoYCJyxgcaLEofDCtu5hogNYNRzsb2PLJUymEaJpNWEAjrpsGE63KDZqhNCx2y0sCBHfB6HRMkfTRdMjUIK0MaFByPj7Mjq8pZBIFSjLPQb1PlmxjJAebweYckAza6ingcYrynFA6gaTlHE0KV2rdwKpJD5Ex/n2S3cpVE43azWkOkEr0944wbsGpRyELjs3Dzh//gTdjW6bluAZTybsHwwZTyYEkbB3EJNOem1Gb9SpHa5/gw/te1PSD5CZlBAsuBkiQC4kyz3H7sGMg/09xjNLmuQYHTuvTW3x1FCNydSITr6ESjUqE2gNUqVIo2IOkgvgG7ANIkhyr+jORtzfddzdusfOYExmErSMiTtVXdFUM6gHHF+BTlqQaUliIu/QaA1SU1UVQWisC9SNpSwrxuMJ6+vHuHV9xs4dQz9bJTE5RhsSlaB1PM+EjCMpvMBLh/CWIAKCFJGswuwi+/cddi1jOKlQc5NV4lFe40R0nbsAloqmDlRVw2RiuX+3wbiHKdJV6nCLfPUa/XVNUSRU4wFl1ZBmCqVCVO+G2GEUYm7ssDTO0VhPbStms2ju0TpFSYMSagFxL4pikREeQkAKgyJBaYtDUTWK0XBIUWR08pQ0UWgloxaXuChrtCdRcXE0nEzodSrq5j77+5bGniPLllhZW0IVBbu7u1RVxUMPPRSd6UdGxfPJyNzYMUfPCCEeoA4c7SxWVcWdu7dJ0pQ86zAaDSDUrKyuIqRiWk+RszGjELhvNKsra2ysr6ETs+gMxkMYMF4TEsjzDnsHu3h50MLjJc5oXtjaRbxZ42zNtbs7iCTHz6MapUTrhNQkZMYggZltCDKC0kLwoDVCZrxwZ5vveepNjMuSK3e38FmClhIlDFJJkjnMv2UYRu1riPDp4DHCUAfNN+7c5q2PnWeyN2Rr/2DhHjlq7nj5NplOaVzUGCpjOH68w9MPSzIFs0rx0u0EP9IMJpaqdnSy1+e+qISKE5Kg4gIMqAUkrfbUiRInLZkxvP/xS6wvZ9RBMDwYIX0BwVNbyWgG/Q5Mp5GUgZc4HCaLJWAcQnqOaGe+ra1xno//2RXorJP2ljlxbpVLjyXUjeGFywX37yT4Ts3W7bs8d/U2b3/qNK8H3/B1Kga/lVHktRZbr49DJm7zyvn1m6//bdzmR0sqhTYG5xRgCSo6tFQLDPfyMI0Yjuo+D0cWi5+JtsgU8S+Sua2//TlzPWf8kjLqI+ck/AfODBFQQRJkJC6mUlNZy/37u4uRyWJsFBx5d4m82zIYW93bnM+llGQ4HFCWJVor+v0+WZZFXqI0D7wO7z1GJ/HLGPb29qjrmn6/T7fbjdm1bcf0cITfQlsTGxEVSjEcHQCBoujS6XRJk2whQD8EXFtKMT8ybREd5ueyXxzPRac6SAQKWwfKUKNMxMFIEcfLznrq0tKUHoJuBdEKcBBMfNzg2+O7OAMWj+1FfA/jk7YLoyAIPmFWNWhTkSSGurLs3pnQMQX9fJkqTJHKolKPElOaekrTGBJTYEyO1DE6sh5M8dOavLeCSbLYwdJJq/Fs38s6duRNGjBNxotX7/LY8kOMxhXfePYqw+EUZDz+abGBd47JrKZpZuRZQ5ZEVl4Uz0NwTZs6U1OkgrTIcbbE4xDKoXWMm+r3ukxtEaPSaKLOVAlMmrG5eZ697eskriTVYKREC42WERZtWo2qc5amidooryxGOfLMsLrWZ1j129SfEPEnwYB0mKSg11unk40iekVLlBZoozBJitAZs6qJo9XGxW7iZMLK2iory5t8+nevkugz6BblY1Tanp/tKK81XuAD3ol5ryl2m3wgsV3C7Dhvees7GVeX2b77HM4psszGbpwSQIwwc76iqh3TWcXO3Ybp/gkunHw6mm3UNt0lSycryIwm4BlPppi01XP6mHUuvY+3oiBxARoXqGrLdBIzaxEa2cp1vACEf2AhujhvBe3x9BAMg4PY+S1yQ5aoOOo/svAKLTRbiWgUcC6jKhs6S5LpaI+9nYa0s8nK6RN0OkVLEJhw48YNzp49+0Dyx9Gva9euYa2l2+0uUo7mxeK8m+hczLGt65zpdMrO9hZJkrC8vP6AHpIQWYtN03B/d4fdvftcvHiRTqezuPZ67zFSY7UjMRojNFs727ETLgVCavYPJgzLMfcPBgynFaKbxQxwIRFKoqUkN4alboGWiv3xMC6ehScIhVM1QiruDkbMqoqdvV2Gswpd5EgJXkMiokO8SBKWOx2cc+z7QG09VvlY7ChB0Ibb93aoZjX39g5oUEfu+qJdmHzzvbvX7dBNYoa4947J0HHvQFEksL8XcLVHOEduFEa/ft7cC+fXUUxpmgnVbMSN5ws+5VOUENy4NmNaTvDlmHOrOd1OhkCiJXQ7GfVsjKmGHGwVfPbzil5fMdgpGR6MsdUQmhGb60uIuX/kdahZmsazvVei0g55mnPh4Zz3PK6oPEzHhuFeQjVJ0Lpga3cPz9nXpSP5OncG/27727DNR6VNEzs5Wup4UQoxtDziGB8EK8/1dnOo8sI56+e/03Lb/BwA7Rc3oFcCM8/1ffPHoL15eB///2Q6oawrOnlO0unEsa8QhBYlotK4IhetYGVeDMZ4Kogmobhyz/OcJEkwJmmdrw8Wg/NMUQSsrARms1mbMpCTHCnqXh5gHzmB8fli+Lyg0+ksCsj5/s1vaFIZpsGCr7BM8KIm4HF+hvMN3gWCF+0XYA31tMfKymm6vWVMptDaIIQnBIlznjx3pOML1I0Fv9sGzyuCV/jQ4IPGhgoZRjgsgQbrS7xv8L6O2iGvCaHBh4Cr+3Ty8/TXTpAWAa1yVvJzrJo3cDDYwTEmLQL9bLU9ZqEdGQXquqSeTQnSIGXGwf0BqUwXWi4ho6klzeMYv64rGh9ogkJLg1EJ9+8f8PzVm1y7+RIBRdFZRum5uzSea7bx2LpmNJowEkOMisgTT8BZSz1pmA5GbFxUFEWf2SxGZs1xIkoa8hw2s1V6aytkaYzJEziC1ezc32E02OPECu1YXrZfCq00edFBm4zZdNxq2ixSCJQQGKXpdBLWN09gkg5JErNegzfUtqauJjSTmxg5jekcgtaJrTEmI+sscW9UY32grhtmsykbx9Z59LHH+OoXblGONMud2Kme75OUEUiuTOuqF4LgHbZpQEicVW1nO6a49Hs9et0uTi3z0u19xl3P8lJClmu0SuPnLMQu6WRs2b7b4CabPHXxA+Ayxu4OKt8ny9PWtS7pFh2EkAyHk4gJScA4H/PCIZ53wVPXjllpqaqaotNlvFe1RpXIx/NOLa43cxe+cxbvbCyQvaJpKlw9Zm0pJTUaY2L+97xDFxCxU980BAJJgDRJqEqH8J5uLiibA2bTCJROk5R5POdwOOTevXvfMtZ0LgFZXl5+gE/68si2o9eU+c8mkwlpmpJl2QPXn7n73RhDWZY899xzPPTQQywvLx+5nh1GDGqtacYTIF57QFC6msmsZH93H+fdYuUvPe1iM35r3nkVqJb5F6+TQQiCENRVxWQ2ZTAcULeFNMjFaFdAG/mpWv3bIbhEhLiwlQjK6YzheMp4PCFr6RjhyO9+q62bG554eIMvXBvQTPts38z4RFMgNRzcm1JPdrGzIW94bJU8+3aCH755CyLwxMOneOOFLs/cvUplEvZCYHJQoAKUdUk9HqBnW3z/+99KmkhCcEgUb33qPJ/50iepxvG8v1PNENrQNJ5mtk813mI1m3Hh9MaRV/3ai0EpBYmG0ntskEzqwKyBxoKtI1bJB08IJUv94nWTvP1dMfjv4TbXAEYmW4sIcDFb0i4ygQ8vaEeNEYvO3DyUfA4gDhFF4WyNtybCiY3De7X4/TmYef4YRwvC4GIh6ZzFNzW2qZkh6Pe75O0YZo6aCCGgnQYdHc9CRNC5d2EBfg4hkKbRNDIvAk07njzarZsXq/N/Jz7FJXE8kySxg3XURPNypMRCZI4hz4v4/0zs1BxFUyy6G1LH12hLUAOE1BHP4Eq8awjOL26KwWnKYQdhz9Dtb5AVKTpVrRaz1Qx6hzICqU8wHFvqaUOSHxB8dPN6L7HWIcSMoBxSTFu3c4O3DbjI5otfDlfm+Nl5+t1T5B0Ts4mVQTjP3vgmIbEUnX4r9I/5xLH5Fdr31FHXDcPJNALJJxM66Ubk1CHbQiymhaRpEhcatUPYeFuRQjId1zx35QamKMjzAmOyKPgXEZMQx/6BRiXRCT6p2d/Zp2NM7Cz7HKkLVlcK+v0KqcZAqwMOIZ4r0qKk5NhSjnUjqoNtKl8hpEerPuX4gBDGsYjjsLMNbXdKSpTWbezeUSdbIAiQQdFJoa62mU7GBO8RQqOSjML0GPooi5g/ety/2MlRyrC9vUPVWCSBc2fPcOHCOVxTcuvGPpIVlGy5g0IiRORrKi0xiSRJFVKCrQ8Lk5jj2so2hER4w/PPPse1u3/KcDBh56WGTHdZO6bJi6h/bWrHZOSZHGSsdN7ExbNvAWuwTY1ljzSbonQWR8JSYVLN6kqfl+7s4HxB0ykwSYFAo4QniBnOzajKKeVswlK/SwieupxEg5Jt0FZGSLWwC6pCCJEeMM8or5uGshyQGY9WCWpeJCkdAcxtYdc0JbSGLKXiiF+ZQFVZekWHNJHkyQk63Q7a6NZl70nTlL29PfptrOnRRfGcPzgfDc9B9UevDfNr5dHOYnwNzcKAcrlLexsAACAASURBVPQ6Ml9sL0x6wPXr17l48SJpi7wRc+mOFG02eYxenGOitIrGPpxHhBbCH9pMJh8j4yrbMGzj5UrbYNtxdmi/fAikSmJtHUf74ejPIznBesesqQmtBKdyTcwlnjNJQyQVSDR106CFpJPoxRn+4J8PblLAh7//zXz1V/6IySQleMt4khOEIpQjZtNd8jDg73/f90SM0OuySTqp5++9d4fT1y5z+daAndFZRpNNfJD4ukLPbvPh736Y9771Upx6BQ3C8fRTp3nyguSr164zbiw2je+r9Q1ueh8/2+bDP/oO1pY6c/fmvD34mrbESB47u8afPT+gmu5x7VmDnXRoguTOjSllNYwA+LThDRfPvm7z078rBv893I7GeSFASclSUbA/GWM7PWzyMrYgh92zOHU8LBTnBYBtYvxRNa3R0pCkFmvsAxDohQ5mrh86UlBGt2RMHXHTGcJaiqVlijxv46Me1ORIJwkqQc1HLiK0MF+3eC7jWjp/62RWSi8KNK31AkVx9P8opSLCJpjFaPjQVa0Wo+J5MQvgg1rcFGKhYr6lEzuEEM0zjY0uT2dblASLItBZh3cN3gaaUlEO1unkp0nzHJNqdGLQuu2CBYH3dUzuQdF1pxiMDnC9CU63HEFrgAYbAk43CDFDeNrX7eMq0sZj4BvBbLhOnpwiKzqH2cTKUI2nKJPS7XfJkyIWHUogZBKLNNpxlndo0yCV5IAJQtZ47OJmIYIgOE9T14QA1jq8d4c3WxxIiUlzsqwgTbOX3WxbnaFqomtWZnhWUC7l6UtvZC1b5WC0x62DF/F6imfCZDLEuhrbdpaCD0gbCHbG7u4VVFKQmFWM7oKwWFfR6QSqSQMNCCfxPmaW+tDiWqYzqqrGNXXL4Qvxy4OwHlvvsbtbo3UfrZdQxhCCpaoGjMd3sbMB3UIfKcTjQqipS0bDA6bjEcdPbHLuzEm63Q7YyHTc3x0jxQa0HkEhYmfxsJCU5IVGacF04qmbeDxjfweUiJ0F5RNuPH+V9VMZoelyb6gYbB3nYNsiBRgtybMeq0unuHTyLFm6hG+gDDXeOayekBsfgckA7XOnRU5v6TxZfpqis0KSRHwPwUU00WyA83dYXskIdspkPKMqYTg6IEkLjNYI6rZAkvNLRTSctbzO6XQXW++iU4GQCilUXEhIhdKGTtFHKslk7PFNjVvonwVSSaZVgzF9kmyDTu84aVqglG7XxI40TSnLksFgQO//Y+9Nfy3LzvO+35r2dIY7171VXT1Uj2SL1EBSNmVSogZaDh1JsWPFjhIgCBAgQRLnm/LRyB8R+IMTI7CRxIgjB4KlCIbsyIEtShFJSxyk5thDVXUNt6rucMY9rSkf1j63bnWTFIemYRleQKGq7j1n733O2WetZ73vM0wmFzzB5XJJ27YopS7spTb+o7u7uxet3c1c4px7Yv6sqor5fH5xjstVxI2l2Eao4pzj5s2bvPTSS4Nd1ubAieOntSb6luAdWMvBZITwgSo3FCKydD0++tSiDwG8o+kizqU53MaA9TaBxuDBe4TtORjv4vqOShsqEahdlxTD3uOlpLdATEkpkYj1SUDigyP4lDCD69gdjfHOMslzJOV3RuoS8L5nDvhv/8ZH+Tu/9nssV+eIqkqvv5uzU1j+u//sJ3nhaCtRX75P7h2ADJHz+T18/H3++qdyHsy+zB999U2++Me7nK+e5frTh/ziT32MD3/gWfSGBDu8ku2q4L/8T3+J//UffYZ/9dX7NPUJVluEjoxjz3/0Sx/lU5/40ECB+PZ8ye9mKCH4pU/+GJ/58j+nWY4QAepHO3gdsF2NXZ/hZ/f4q5/8EXYm+XsCQOHfgcF/K8dmokqRahEhYG8y4eHxffqmRucZwugL3y14vNONmyqQ33jpJQBnu56+aWnXNUoIsqJIFidSvXvSY+Aw+ccVxo0RdFfXuGXNZDoejKQfKws3LdcQAliBF5rMZJjMEAnJ0oTHSkApk+pNyceqvA05PRt8C7239N3j17fhKaXn6idFNCaRpwUpJD6E1AKT4RKfMoonzrVpyW+AIiFVTX3fE+RgURJTWkeIDu8i3oLvDKvzAhWvkOUmKfUyUktu4JmlFItk0aFji8kUptmnWR6jzPJiESYm8Ce9YMBtqQobkkrXO3A20tU5od2hGJdkmR5yiQ1G58iywFQTRllOlg1ZpyqlNsgNVy9GgveDBY5gQoCrO9SPOqx32OBQvksxbq1F9jJFpw0VYu8dzluEEah8aOnr7KLK+tjbMZBweGqnGwOdabn94Bh9lHFvcRNRNUxHFVhH26wJwQ7ecmBdpHYKFydU0+cpJ1fIs1Gy4hGCaKHvVwg5pV++SecDJkSU8ygpEKK/qHDHmLwrnfNYnyowTQBp9phuPU9RHabvkkrZ3773tO05y/gmjXtEMRzbDdYpkQDO8f73v0xZViglEojykrZLKTYRy4XMLSaeZ8QnAnyIWDv4X7onqR4XlI2YDKnLUjKqMq5+8EUOtju+9nnFtLpBWZTkucHoEsMEFRXedgQ0EZt8PMUA7oMgRk3EYZ1htd5ia+eAstqlyDVGC8RA0HehxJYjsjwj+mPy0YosX+OCYzZ/gM7LxO8rcry3lzZ/aePS9T3rekm9ukeVO2QUAxUlGYFFBqqJd0Q0ITIQYiVEn9qUUVA3hjzfYrS9R1EmBfNGHLIBeMYYVqsVeZ5zenrKbDZDa83Ozs5FtX9zLzZNw61btxiPx1y/fp2iKJ7YYF6uKBpjmM/nbG0lrnPbtpyenrJarS6iMzePt9ZyfHw8OBEMm8WQ5kulVYqDdBZsw3N7TyOspcwzroxHLFctIe/xSqFFEgN1Oim4NzbjwXuCDQTniX2PtC3PHuzhu45SKq5Nxnxt1SByg/CGMPBfe5/M8TeV1BA80Xmw7uI4Nw4PiG1NJhS7V/aHSSdV1b81Lknfv49/6Flefv4Kv/+v3uD1t0+RQvLy8y/x0Q+9zP44QwzWRe9FxSsK0DpDxAoZel6+bjnaaXn/geHVH/oPKMf7GHG5fp9ay5Aq7M9du8qv/te/yJe+9jZ/8Nob3BSO3eevcbWv+eW/8OEkMhPp7iTGIRXke7jOeNmLOfL+Fw74r375w/wvv/4Zlu0Cle8ghcN3Dap7xC9+/Dq/8osfReIH0PweC0i+HzPkGJ/893vjEfRukcP3Ny6Y9O/R8b67cZE28IM5+vB3AmZt3+FdgNDjZGCUG3TnWJ2fI7M8gRyS07kPAa/kJVNWMYAJh+t7ur6nWdfIoHjx6Rd5/a030EWeVMUMO1mVIZUGmXh1xIAIIbV+nKPvetqmYTU7h66hyncvLAw2AC4pgZPS0ocUuaNNamsFn/zQxLAbv/wnkWMSQeYyQCvLnLYTOBtJUVYOKQIiWhQOgb3g64ghZSMvMrTSQBwsMvxgGCAuOEePzysGexhFWZaE4LGdwlpPlD5NKjKJPeLA8wgOrBW43tEsMipZDkavyTtNK02ZF+RZTu8cTRvwCoKTaB1RuqJeF2SjeUq9EJuKJ4/TTYbWUQgC55Jno+ugXWuIJXKwEFIKlErAOR9ViGwACDpH6kTi3nw+MQ7VrVSmIkZNCDlxO9AsljR2DUaw8gv6VY8Ldvg8FIUqyVRGcI7a1ohcDlXYJOhQWia7kSxDAM5ZEAnUpMdIdGZ4tLpPfLTA5IFqNKIocmIPXddDdLiQcnsbF1j6MdXO01STq/jgado6AWdBohLkBQfXXmIxm9Is38D0HVIOLeYQ0EP0WYgpG9d5T+966k7h9BG7ey9gihHOd7hBDSuIKJWRj3ZRJmNxNqLuH6J1UoFHIdPmDFienzNbLKmqisl4TJ4but4Ro8fTD5ygxLFV0RFjsqFJQiMLMuJ8UlWH4C4BweF5wTHdKhiPJfPlgsNruxzfu890IhmNkgo1eI3vK2y3i3IHiGiImPSakXjLQGlIfoR9p5HqgNF4lyIvyI3CKIMUOlET8FjtUGKf5VIS4wPGo1Qdt77l0YO7iNBS5QJBsiZSKkPrkkhG00TOzm6yvd0QrMU5CD6l1YSY6A7OQVPHJLqyfaKihA3txeF8hDglL7Yos4zskp/hOx0U1us16/X6QiyymX82FlubOTtFZ6Yc9W984xs8++yzbG1tXYDLbwYyY4ycnJxwfHx8sTktiuKJSqJzjtlsxtnZGTvbO3gc88WKGAOjckRnT4hty74WlMFy+/ZNAF48OuD85n3O2oYgFSEAeqhqC0GUkRgi+EB0IbWF2xVPjwt01/L27duA5Pn9Xd5e3aZuawQaOVQlg/QJWwxt6uAD0Xqc7YjtgqcnJcZabt+6TRSSD3/kR4eq2LeXTwhIuB043BnxVz75w8N6mOatjVNhlO8WoMR3Huc7XRUFjMaHXL3yF/ny13+d/b2O2Uyzd/ATTKZbw3q5wTyPq4Lp9aTvdJkJ/vwHniHfy7CzGdnuLtmdtxMAHFiVSUMZ6drEu88vJd7EQfb3za7cWssbr7/O6298g3q9Zmt7m1deeR/PXH+Gf+/jL/L8M7v800+/xhu37xK956nntviZj/0sP/LKEbnaqAPfm/GeVAYfA5zHxeLvB2xdBkzfDjx9N6DzMj/lT8Nj3woUL5ertFBd+lC/1fnfeY6NofFsNr+ogGxaJJuxvb31fQPUze1s+z59iV0k2HTDmrLgrFkhZqcY3yO1IYpkGq2yDFUWxCwjBDnw+3o629OuW5pFzbXtI8ZmxMF0n9PT0ws7iRA83qQ4Oik8wlpc0xJsl44TwXpPXa/p6xW7o0TIFZt4KbgAhMaYx+2XKAZbmG6Iynoc3/X4vrjE93oH98dah3eBGD3BtbT1GbavkXgKBdFaem8QMZBpRQgG5waOpHeXzjWcYsMuu2jrROJgEm1t8kmLAWwf8SKgxIboPYhtfMRZge2hXwf6dcFougGaDJw7gZKaIi8JNIkzxqDkIxnp9q2gXaUJKHpNMA6vbYq6Eok7F0Li9/he4CzYGrqlImdoX23mERmRSqJNPniNSaQSaDV8HipDDHmq3ntwg7JWB7Q36NySTSTnD09ZhRpRKHSmkSYtwDYEOrsgrgPRBjrbUVRV8ooTkKxxkuVKVeRopVita7xN7UyxAfhS0QaLo2VaTSmz5Btoo8faGhEE1kX6PrBsI9JcQeop9bohKzRlkaOVRgguDIZdcJSjfdbdknX3VjJd8pJoOpxyF3dXcBFnobaB1o6pto7wURDaFpNLRnmFEpoQU4xf17bEICgnV2lnNao7RURP8CB1BOnY29nCBom1lkcnp5RFTpblqMxSuy4t4Dpl0HqfDft+R2rXa4QIg22PJ7hA8ALvGQBRS2DN7kFBWUVWa8FyNeN9H9whLzRaDYA+OKw9p13NqGfH9IurRLtHjGC9plk57JbHZmGopidhTZ5l5ENyhtYaJVLVLlXsUxW8rLZYL5ZURU1VBPam4O0MXI3QAm1ACk+MkrZRWCtZrjxaNhipWNuA81BZgTVwka4TPNY2CDEYzXuXqrYuYvtI03uUKdBZgRm8UMWlduPl+bVpGowxTKfTCwHaZdUww3d9A9yMMdR1za1bt7hx48YT4O4ijWUwpn799dfpuo7RaEQ+xH5epuVcViQ3TcvZ6Rmdb5mOdtmajkCXZN1rPLs94YOHT7NfZMkiSCherip2d3f5o1v3eHO5oqEkj5bCq4vIPhdShc86h/YN79vf54NXD5gUKh0nBm5UGaPJhM/fOeb2eoULJbnTZHrgbiMS79AHrOspXMsrVw/TcfRwHKDMC74ziLaBRIMVi7j8eQx/x1RhDN6zrhNYL4qC8Xj82Ff2m6yRGywQY6Su19y7d5embphOJ1y9ep33vfzX2d9/ldOTN3nxuWc4OHoVEfVGGfOO63vyeiMpA/jKeMz+3WOMPeEnX3olzbeka/3GN77OZz/zGU5PTxBCcLB/hT/30Y/ywgsvXMy34onrjSwWC37r//4N7t69y2hUorXi0aMHvPYnf8z7Xvkhfu4vfpJXnt3jxWd+CusDETBKouVlDvN38LZ/h+MJMPjWW29x79697+Es6c18+PAhXdfx6U9/+vsGNWdn57zxxptU1e+R5zkf+chHnvh9Mr19N6D6dteYSvFpp/ftwKoQXAC2i2fHyN/5O/8Tf/Inf/K9vJwLDt6v/up//01/r5Tib//t/5Gi+F7NlTY7m5BeQO/oY2TWeO7fP8dFyehghwrwi5pp31EKQaY00TvsuqdbzPFFiShKOtKupV939KsO7SSr8yUNK1SUjMQIO++ITuDGjsw4cgGxrVFtRyEkRidw40Ok7nts37N1dETok5LS+5C86qIeMnmTsjCpC1Nb1fYdISRV3ab1fQH4gkvCliDeAQJTOznx1Ry2XbI8v4eWlt1JTm4yBAIfoOsC6/UZXbQoeUBTB6SQg3muvThfiI99F8NQ8QxK4L0cgHeqKrlgafuhWifSz9LnPwg4+kjfSOp5wPViIHA/zip13tPZjlhHnBtUliEMiQ8ymQzXijUBBtCqM4XSJB9AISCqgRBu8b3Atp5m5akXjmwULojp6bwe63p0b8kvKVcfq19Nsika7DHS+x5ApqxVJTUWjy8CxSQjy3PUJf5n4mlZvLU0qzV9sGTSD/fspr0hEDHg+5amr5nNkvVPUrSn64QOYyJllaUWt0kcz8ZD2zliiMOGI7Budyl2pjgnmExHlFWiIGiZKr4hgB3UrHWzRlcHzB/dQYaa6EB5idBpByCiJDpPZz2LNiLzPXwwZEoyniQlsdZZMqmOIaV52ILVaknXOWK2x6x+BN5SDPGPQUaqqiCicd7Tdj3rdU3d9GSlxXOOcwd4X+C8RoocOZhpR1tc3GupWjb4b4oVXjRYLDa0ZGXPdGub+eocYmRrOqLIC4xRQ8IEF5zOqgjk1Zxz3bF84IluhHU581PFdK9FZyVSptg8Y3QSdAyc2U1rdAOwN9Vcow3IES7OEEIR3ZrDPZiM4gDSUjxbRKR8bOswusG5AEEMILGm7QyZeUwfiyEgZPLYDJvvu3NY5+l6y3LVU02LxKMUDFnATxYDNt9pKeWFN+nmdbxLEMaTYhGA9Xr9BN/vnWOTi74Bmd/suJfN/DdRl37hkBGq0QgpDT9+7ZAbh3tMjCZTGjHk9QYiRVmyXZXs3b3P/bMFh+OSvTKnMCk2cu0cj5qWk8Wal68e8vLBIeNMgkmK+OS7F5mYyO54zOffvsXpquHKdsluUVDJxLFcup6H9ZrzVcer15/ilYMrQ86yQA+bzzx/jwwBSavYg+Nj/tn/88+48/ZtnE/Cm4Mrh/z0T/8ML7zw4rd4ZlpP/vBzn+X3f+/TdH2XWv0etnam/MzP/TwvvvRjHFz50eE88lJVbdOU/uZ4QBJBSK5Op/wnH/pRBBEz8HS9d/zzf/47fO6zn2FrOmF7a0IkMpud8H/92v/Bx37yp/jYx37yAjjC42rzb/3Wb3L66CFPXztiNB4n71bvWa3WfP0bX6OsSj7xiZ9GS4k2SQj6uA3/JIB9L8YTYPDTn/49fvu3f/s7BFffenz2s5/9/g4wjJs3b/K7v/tp9vf3+PEf//GLn69WK/7W3/ofkvv9d3GxTdMA8LnPfe7bPu7VV1/lb/7N/+ZdP99MeN/L2IDPzTW/E4i+E3x+ryOxbCQ2wN3zJZ9/+yFZiGw5z8hkxK5nd2eX0SjDZBl6k2UbI52zrBvLyXrFGkHTBXKv2c4mZOMCZQb+WBSM/ZTOdqy6NetmjssFMTq2s5xpVVIYM5j8JkubqSuYFiUnXY0XiZPnnMM7jZPugnd4EQHlPK2zGALWG4gpU/ZJUYq7EHl473HCXVQB0rEs0bWcPbrFtNRMx1OKIkvpHaTFpC88JpfMFucEBMVoD0SqjLpg8W6jinYXPCGt/GNBgCVVfGQA4ensgtY6ovUoGQgiNRKiT1xB28BysWZx4pD9iskoEfaj1wNH09JCstaI6dzOD1mrvsd1HcvFEjdb0DYFo21BXil0FpFq4yXhU6XIBlwXqZee2WlD6DIK1eNtqiY559PCGltiU5MNfoWblrgUEmOS+Xdv7RMm5DJJGmhqy3LlGG3tUJSpaiR1qiLJ1E/GBY0zChREDX1nGXket/a6joezOd7VaA2ZUZT54wSE3lpUbzGGAczIiwQd20UWy54QIus+MFvUqPIqJsL2tGI0KgZ+XIaSyXQ6Ato+5iiuVo62r1jNz9kae6o8S0kORAKCznlWrWXewNHVCqULxpMxZZmRZSli7rIQQmuJEIlm0fUZJ2eWJrdMKkduUlu1LIrUNnYhGcQrxWy+QGegqxl1c06mS1BiuKcNBoMUFifThs+LFmEeoqtHZFkLKlL5QDYP5KPIun1EXbdsb02pyiJFt5mNT99wvT5gjEMYiTA11t7m/M4+ti1ZrzSjvSXKrBAk39JNlXbDmc3znKqqLji2j/m8EikzrNO0ixptBKNxSZkbjFLoQS0dSJu6zIBR48F4HPb2RijtWC6XaJU4iSH3+EExndp7yRi+d46m8Zwv17StY7qbOMZhUMtuNm+beWNT6VNKPQEEL4O2d1lMvQMczudzHjx4wP7+/uMW/XAu4F0g850+hZc51nIAFiFG6nnNlClVYXh6VDIiMioKlMlTFyddAcFn9HXHi6OcV3efoswqdKZTPCVp82mto+t2ib0l0wEzKsnEJqZPEhH0WYc5X/Pq1oT88DB9V5RIFcZIogf4HeqmRThHriJ5WSCVQoWUQZ1l70VSSBq3b9/iH/yD/52yKLh6dIA2huADy9Waf/Rr/5BPfeov8yM/+qFLc/zjz+XTv/sv+YPf/zRXDvYZjY/QSuGcZ7FY8hv/+Nf5xV/6q7z0yksXc9yma5PGt+HcDWVHAeQqbRLDAMK+/OXX+MM//BxPXTtia2uLcijmtG3LbDbn07/7L7h27aknQKwQgjfffJ17d+9w/doR+/v77B8cUBQlq+WCs7PUdfviFz7PBz/4w+wf7F+65HDpwt5bmtsTYHCzk/83b2z6+ul/MUbm8/lFlNh3O7qu+7a/X61W39Nxv924fNP+YLmKSQTysOn4wq0H2GxCJj3rR7eRIrA9nTIaVRS5TnnDIrUEQogob1Gyx+NpHy0YqRGT6Q55Xl6yfkkVyBDAuNT+WK9ndItTtnYn7G5SQIwZyPgJDGrnh4ijwNl8zrptGRXZkCEqht3SJiJqiLLq1ikGLRunlxZSVSpVA/qLCLqNSm/D7dtMtBColw/JDExGJWU+tIL045aT1AM/LVjOF+dIlRNlAYSLxJMNZ2gD5JNyWYFQqWUqQWABx3L5iPPlilh1ZEqCGjhcztI1qZ23u7+NjpGTtzvWy5pqNEJpOXDxBN6lqLpNFc5bj+0sfdOzXi/ZuzKh6XdYzNes1i3lqKMoTQJKMsEdZwN952nWFtdpxuNdplf2WJ4taOu99B6oART4SGhrlsslRV5x0Q6Hi8rLxncyplIdRE9vHccPz8mLKUU2Jr9QhevHBt4hIEOyyhBRgpcs+zld06C1ogtr6n5JUShG05xMJ3CVfM6G6rH3VGVP3dSs10uqskygVEpm9Yp7D89xVtCHLepOMy0iZZWTF5rc6ME+KN1r8OTiXhQFXdOS5VPm56c0XY9WJ+RKo5D00dF7jXNjsmoCUlKWOXmuH/taDskgMUasTCKeGA1lldO1GUpvcb6YMV81ZHqVWj2DZZKXfuDqRrwvuXKwy+GVPWb3d3lw6xzkVvo8QkkIdsgLDojiPvn2MeMdT1kmkryUSQDirafrHeezc/KsoihK8lwPHpwSOaTzhBDx0pOsNCMxZmwfrljMHCcrTVmNuf92h5Q1cbciuE0u8WXKTRysqsKT9J7hHprPeqILbG0ZTJ5hcoEZlMlSppayDCTFfIz4kLFcN5Q6Z3tryqlbczZbYScTcpfM3wUaKdL32/tI13uWq47T05orV/Yh2uRakD0GfmIjhhv+9H3/BADcCJjeaTG1AbiXAZwxhqIoOD8/v/AK3MwRm4LDer2+iKwrioLJZPJEq/OCdrF5v4Kn8AW2sCzOZ+xMttmejFm3DeiGvXKEGnw4Xeg4OTthuVwxHo8oypJMVxilk8H6wBnMvafMLXXXsFjMybWh2tq+UJ/H4Di5+4iubdmabiUvTqMRauBGA9EHCh/IjabpWh6dnXKkNFvTbaIWSBGH79X3P/q+5Td/8x8zGY84PNhnMp2Q5znOOSarmizP+J3f+R2eeTZ5NF5uuZ+cnPAHf/D/cfXqEbu7O0wmU7I8p+vXFGWJVPAv/t/f5rnnnibL8qE1vLlf/xTxxYYKAIQhxUyG5Dv7uc99lt3tLXZ2drh6dMTR0TWcdxzfv4cQCWt85g/+gBvP3UBuCj4R3nrjDaqqZDwecXh4xMvvfxVjMpbzc77+ta/StS1aC27eeou9g30eez5urvtbVzK/1/EEGCyK4kIF9W/SmEwm3+cRNi3UP+1n3+YIAv7aX/sP+eQnf+4HBOYExrwHRptRgIjcOp3RmglluUXsZ5wvZzx3cMC4KCnynCxTqVqiUuxQCB7lQMTIJBZ004CNI4qiwmQZxmik1MOuEmL0SCUSx831eFqmZUmeZ2R5hlE6RcLJxPtz0oFQTHzAlR131gtOl4sEEGNa9C9byzjXo6Snb9YoMoKICJ92z8739F1H27bU9fqi3bLZNGx23ERLvZpzdX80pEoYVJ4SJpTUBOcQvSD4QJF5jOpp6gUql4lSEAPOh2S03HfUdQ0wXKckhNSu9CLtE4NrUTGymnV083Va4BRIJShGGbt7O5T5FWw3ZVSOKZ7NmJ00rBdrlJbDYhOH942L//ve07WW9bJFiIKieI6yOmJaNazW92jtA2brZggiGe5rKckyxbi8ymjnKbJ8BJSEyrDanE9EQlB4GVAhAb+6rtHaIH2yWOkR+MFa5bJvpI9wMpux7nu2t3bQQz6qUo8X2PRZOnCD8jJEWkDxugAAIABJREFUjAlkRca6WWGyiBAdW5OcqsrJTJXOrQbvNtJiFPwmN1qyWi84OT2hKCpAE/UOTlwDU+O7jhAsVTamyMrkUacMWhmyTJNlyV+v7zcbiFSVM0WOyRRKWbrGQrGLLiZEJembGudW5JknhA6TVemxgw2R1oY8N+k+cAFIPFmlFJnOMFmJiy1Ge5zVOLWFMiVZVgLDfYojBE2RZezujGi6MR/48EvMzr7AerEieIXPIkZlSN2hx8dsH56wvRcpy4LMGLRKnoQxpli8vo9keca6nrNuaiaTfYxWF8KdCxXvsGGLXhK1p6wM+0/3/NjHPsK920v+6W/e4eyk4cX39YzGFcEXFwDJe0/btHjrLgDRxf3hA873LNfn7E0VeabJlCSTycrIGI1UCQxaaxHR4bMeEw26i/Rdx6gqmW5NuHO8QHfb6PwplChAQB8dtl/RtqcsFwucrdmalmjlWS7OKPJ9+iwHnfwNxQACN0KQtu3Y2dl+Ih/4sghk8x5taCcXfo7DY7RO1Ja6rkHA2dkZdV1jjGFvb++JKmDbtqnCqTVHR0fs7e0l8/9LVUKtMjITMKWhni/xPlKMR6AF9XpFVxTsbO+BFJwcnzI/XzCdTCjLUeJuZgop9EWVMW0kPV4rhJZoITk5PUUXOdvTLUSM3Dt+QNv2jCZT8rKgMHmq2A7m/HHYzLngBi5xek0PTx5SVhWjySj5i74HFjAAd+7cYT6bceO5Z9ne2eH6U09xeHhE07XcvHkTHwPrdcNXvvIVfuInfuKJ5371q1+mLAqmkwm7u7vceP4FtrZ3WC1mfOPrb2Jtx9t37nP/3gnPPHcdcbH+P8Hk45sBrLBhOUYeOyuISF3XLOZzDvZ2mYzH3LjxAntXDokxYoymrtdUVcn5+Sm97SlUeXHMpm2G+VIzmW6RZyUgGI2nlEWF1Imes14vEU8IUJ7833s5ngCDv/ALv8DP//xffI9P8f0POfA/NiPPc37lV/7jJ3ZW7+XY39/7Jj8VvPjiCz+Q8713I7UJRRRk+RhVulRm70BJjSk0yqRdeSZ1sirJNESNs8mSwERJ7i1VIVl3LgGnoSpIhIBPE4CUGJMBgm5lUyyYTm0opWXKUzUZyMSrkCS+T9QZZVYx2t6ms4FHsxO23TaFKVN1TMYUw2Yt45FMSsG2w0sQMdB7CK4hdGuwPUb0iAB9k3a63oSUhiEEfbeE6Ib8TobYJk1eVJjM0NV1AqFSo2RSta5XLYYOT8BFh7MB3zVE26BDm7hafaCPHh8KjM9SyxJJ6FcUueD5V36Y8vAYkQWUEWRZjqtzzm5vE+ttymKKLkuUhNG04eGdUxArRr7AuLTgaJFI3jYkk+dmYXHecnjtEGUEgWQZUVVPEeQx06MFqlwRQrKFEK5g9WAbV++js210llo/04nh5OEps7MlUxfxlUDpjCwG8qJgtVhSjUoUGisTp1PaxFUMMeKiw4fE55vNVhhdDpXSZPWTbGJUAkhKD9xeSwjd0NpN5sExWGx/zv7OLlVZUuRZ+tz0ZjEauFUxEJ0flNLJN3K5WnLy6AHXrz/FlSvPU2RTgqu5/fYtmru3hjQUdaH+llImxXdVJDPfgf+ITCa/iQifsXf4AuPRNqPxASbLQUh8sNh2Sb0+5/7xwyEbN1Wzk7glbeLKsqTreqztB3HMYHOkADHi4KmnmU72yYstpJaYYkL0aXPhg0Po9L3JMs0bX3+bf/lP3mZcTlitWzrXUrlJslmaLrh69ZydfRhVOVlekOl0vwiZKBfGBbSKabOmxsyXC9bNiHJ7K0XcmQyhFNE6rO0IwSO1QIQU+VYWltnpfb76xRnXrrzA8b23+PxsxbXnAteONJlzacNiE5CxzsHQsnXOY226Z+v6HCkC2qT3WIsEWHWmMXlBZvKUoBIjMVpUTJnXygjaxjEZ5QhhODx6gdFomyIfDZvXSIgC5zvqehepRpTlOco1rOqatm04n82TJZUC21tkZ+ltTdc61qsVEkk+fMaPxUwM93AyTQfoe/tE6/uyIlkIwdnZGW3fIZBMJtvkhcYodREZmDa6aSPVdg23BmHD9evXkFqivCYqh1PJI9EoTQCWqyVFliFiEp6dnc/Z2t6lbVpOHj5K6ShFynbPTIbSj82qU8sZVNQ4l+YmWYLzjvOTE/a3t6nrJFoZjycpxtNkGJMM6NXATdy0rkVQKOEvOjjeOu49uM8rWy8TvOdbgajvfNVKda8HDx4wqkqKImM6nfD0szcYjadsE+n6nvn8nKrMuX/vbQQfvXTOyOnpKdUgwtre2uHK4VWUNuR5wcOTM85mJ2SZ5uGj+zzz3PXhee+85m+hIfgmv06b1VRMkjIB5awo2HiyZnmR5iCpBjrMk4WnnZ1dju/fx3vPcjGnb2t0llGvltRNnRw4est4NH3Xdf2g+opPgMGyLCjL944M+oMaWZbxyU9+EvjO1cTfzdjs1v51W898/2PYMUTYHldkzRppUtuqyBSZ0GiRgdSgEwioigmISFOvcCEgvENhMDIjWXE45vOWvlkPrdd4oZory4qiyHG2wVQaJTKEMMPiKymqHKUVTdPgfUxAzziUgUxkTK8/w517N1menjApDbmpEBhi9LRtQ6SEDJytCVKD7xCuxUhHVUny3TFKTgkhUPeOVb2mb3usLpEC6uU54yy9L3GYyIgg8chokjgATxg83JTw2N5iKdKX13eIYBnlgdEkJzMTorRYF1ivHU23pLUZKIMSGlyT0iHCMxAlR085jAo0y5w3vmRQ8mmKSU6WD16HKlCWFaNc8fZbD+mblmpSoLIcKVI70PeWpu1Quebo6eSbJmSyPIk+kpmMus5Ynt7mhQ+MKCoIPvLmaxrbHDAabaeJSeskMImCa+YKpw9OOT9dUDQ5uY6M80iW57TLjrZ3qMzSzDyr85561RI9KCUoxjmjSUaUkWbVovLxkJolLpR5UgmyIqPICtZ1EgVIeSlhQQqMllTFYCeUZcgsQ6rE1dM6CUuSgDtZu0BPEAETMnJfspjNaZqWEECIjLwoQJyj8m2CNIMq8RKXy8fElRRDIs6gtRq8LNDZmO3dA8piCuhkrhs9UhuqyQF5uUPrSgLyQk0e4+MKjB3i1mJMC/EmsDGg2Np5mr3DI3JTEgL42KKKktA7pItI4VAohMhQsmdve4vZZIs7d+7gwgofWvqoKdyI69cdW1uSMqsoTEroUUZhpEIhyND02iJ6nz6OMMLncH46Z3d7C6kVqsiR2uBokd4hpEKJiIwaKTRCwunJVzg82sOtt8nlK7x973VOj2fsbUlyrVLOuY8EH59o6acWbEvbLWjbM7RwIDMQ6mITKaTBZCOqakzTNMk42yZfQR08RvSsQ2RtSxxTtrcOL6gqashZjzHgnUGr1IWo15pRdYYyAi/g5PwuWmumaLa6mtArus5Tr1OE2mR7lDJ0RUitNyEAmWIyBn/QQTfw5Az7DjB4cnrK9tYWk3JCVubIbIgNFCnGkaG6b51FaUEmM85PHuLxXH/qObQAJ7J0HQNYllIOfMSDBEw3JtmLGQ8fPgQRB4XyoObW6qJynjZA8gn+oohpU1XkBcvlktVyzflslnxGs7QJe+z1+WTaivce4QUuQjSGLHjyvGCxmKeqaHxc4fze18v0vGTpNVh4SVAqASsBg1m5uKjWbuhA6ZyCUVXxaCAnhMGzUZEsj4J3w1wQ0ibmu7zObwUZi6Kkqkb0fUfXtjx8cH9oa3tOHj6i6zr6vmc0Gj3Bq4xEXnrpJb70xS+yWq14cHxM8IGyLFksF8xm59R1sqt67rnnvqd39HsZf2ZNp//M4bR/DWPjehQljMuKKkRMyPBS05cWndeYLJKZfMg4dWideEARO5gTg/NDxFdYMHu0RBeG8bh8nIkKeNfTdUtWq5poF0g1RUiDxCJ9AdEhVBjaUg1K9RjjsXGN6VtyucCYnmdefpE7X3mdZd/h0KkMHyxtqOljC62jb05TukBs2S41uzvbFGWBzjO0CEkNbT114Tg+mzFbJLuUfnUOU43wFhHHRF8SnaFe5EipCKEjWAuuR4Qa/IrgGpyfJ685LPtbY3amOWXhUWJY4KPHlj2rpufBWU3nNFEWSL9CALt6m9P7hmZUU26V3PnCkizskpcjMmUoceS6QcmIR8Ik5/mXX+Xs+IyHd4+JWJSWuBDIMs3Vawds7UrywqF1h5KJVxllwItAFWBVb7F8Y8XuSxmnDx39gynjyTPkmSRTEikLkAERwBvH4WHG7ughD+7eZrZuKLcE3dHL9DLwaDnjeDWnPnZkekJmSpRUBJE4iMf3F2RbUFtPkQd6HMI7orVEoYlKQefpg6W3ns739N5hg8UGh40etEaaEiskQkmCAq+SaevgVDnc0wKrwEeFExGvI9F4yAqOzxaUSEKtqZ2jUnuYsMLWGW0t0DJ5rTnrcL2mq1uEFClRx0msVbStpG0FUkzwLmM+c2gtUpUEg+sCjfWIKOgaKIqAt4pgNV4qnJB0RFyXEhqslXir8L3G9xLbQddAuxT00aZF22i8fYizNW3b422TLJBcgwg1mVQ8dbTH7vSIm7e/xLq/SzESjEaR3b0r5HoLIRyRDBENymep7SslkRJpLcFbBA1SdeRZRzs7Z7WA3BwmyoY32H6Nt2twHTiLCg4ZO7RYMiprDvY885MzRtV1ruy9wP3ll+jEjJU3RF/ipEGFgCCBYB9SdbCxa5btDF0KRMiI2QSnc3plBnW4Rljwrcc66NF0MqfVSZnvZYaNkWU/Zjy5hh6P0FmB2hiTiwjRI3zEW4ExGiM0LYHReMREtTSh4+HZXZy07DVjWm1Z9wkEgaPMPZ3JkapDyAZPiROG3kuimw6VUnnRfbrwFr30b6UUk/GYydaYaByu7NA6J8jsotqYNiOO5Ibuiaqn1CNmsxVVccLezihtOqR4QqF9dnbO7u7jDpXWmvv3jzk/P2NnZzfN2ZELAR1AjCnGUspUhdoAQh8DIZJAv844fviQpmnIspQulKg1yccV/BOvdaN8fZxXz1D1Vty5c5ejwyvDz773BXnzzOvXn6azlq7rWS6W3Lt7m8PDa3Rdx/3792jbjq7tuPq+a2mlG54ohODG88/z2mt/Qts2nJ6ccPvmW+zs7DKfzzg7PaFpGmzveOqp69/qMr7rkWUZ73//q3zhDz9HVVXcfOstzk5PCSGyXC5YLJacn8/42Mc/8YRAVAjB1WvXePWHfoivvPYnEKFpUvKNc451vebhoxM+/OGPsLu7+55d7582/syCwR/k+LNXEUxjc9UiwBGGGw9KKjOi2jlh72fWlJM5ppigVEYMDtc76qbn7t0Vt97SzE63IGS4cMLz75vzgRcko/GEItfkRlzwjHrnaZqO+bymrnukNfRnkqwdoa3iUTdHjC1PjbeRVcbOUUFWFCg5Bixt7/jSH3nefvtNTLnD83sTtJgiyAnUOHGH7Z0Z7uQL3P7aG3gbePqwZHukGUtJ2e1SmSPKfJt6dUq7foDv5sjGY1aeKSWalhtXM6oSKqHJ+gLlS0InePvejIePztjeLilLTZlJlHRc0Yr9A5E8uuxQbTxrsWGL6X7OYuY4n9VsTRXjCqZlyTPP75GN9smyLfp6RtOcMX/9Ctcnv0D88ogFcGg9vRe4VYOrW+arm/zwy5/nsFpy52TFa38kKXZ+mfHW+9nf/hBGVwlEG0mUArE+oX7r77K/f5PJOKPMNFmWOJxSqQR4VIudtbS/L5iuHUenz2L2fxqyQxQpPaP3PaG3LNuGdnGHH7r2Fj/7zCkewWuL+/zOV/6YLuQE1xGtxpgpIxUwocKoDGMEMhO4UGGbnr46xFmLe7Ckb09YrxeMxiPyosRkeVq8pURiUuUoBLzzeNdjncefnLKqb3Lw1A7T/QndumZ+umQ1W+GsS+kyWpGNCrYPthltVQgtUlaq8fhmSfWNjPy+JkSN8Dml36KeCb7xpsW5GX3f0vUtRV6R5yWZLtBqUIwKNShTJ0i5xYpNDnFILfqkSU2WQLFGjY7IJ/uIdkqMJdHmiLKgUGMUivW6pm9q2q6l71rWS1ictoTFIX/0x6dU2VYC56bnxvjvcefRLb742utcOajYm2RUVYqJy5XhcL9AisCNpwehBw0utNiZ4Y17LcuVRukk9qnGu5jRlOnei9x4/ie5f+uLvPWN32JkVqmKp9Pm+c0H8HoI2CBpemhqy85Wxd5uRW4MRuYgFZXv8e2c228tKXJJURp2ypKj930U+cJ/jtBVqvRKAEkMItkYDQbnWd+StwuWixkHh4c8df061va09Zq333qDs9MzjElKW6kGfm5wiBgpx2B2DV21wOwfISdbiLyCLCNqnTYRQ4VRIdAxkMfIxAW8+1C6d/sOsW7IZ0uqPOfGn/8R/smX/i7z8hsUh1PKUmOLjEd5lVIdnKVrA3bZUp/1fHzvb/DhGx9HDhY5ZVk+Mc9etqkBmPen/J//6n+mnd5hNCnIimywe0r8yt629L6j6x32VPCXX/4v+NG996eYPSHYicBQXdscN8bI3//7/xuIx9zDjavBcnkH5xL3cblcYW2P1hprLbPZjCtXrjCZTC/8DTdxn2VZMhqN0Tq1v+fzOXfv3sXajUCuY71eD48bXfinnp+fYUxGWRaXBFOpgrm/t/OeFWYOrlzh6rVrnM9mGKN58803uX/vOCmCl3NmsznWBX7oAx94V7nu2WefY3d3j7PzGVIqettj9NtYm2IGz89mPPPscxxcOXhvLnYYH/nIR3j71lscHz+k73vm8zmRpCY+Oz3n6tVr/NiP/ti7MIWUip/6xM+gpeRLX/oi6uw88VBtitT80Ic/wk/8hY8/kRL2gx7/Dgz+WzQuPNwl5LlGd5bQe0LRIwuLyQNZBlIoIi1dY/n8H55y8mCbzDzF7nbi7cUwZT17jXp0TqE7vDD0wSBksizoOkdTd9i+4fDKGNc7Hq066mVLG3Ks70CtCEFAUMSYQ8wQYg1Bceum4P6dLXbLbfJiNHCKEk/MhxLnX6CZ3WIUMmK9BA+578mDRkWJ8IHQCzqxJPZLRDhF+RrjPdI5QmyoRo5KaypjKJVJApLcIJThmacifX3KavaI6DNiIciUunDd9z7SdYLVyrJYNeCWEEq0nhD9HBEVIoAKPVkAYy0iLFF+heGMPJyi5adA7RFIbUHjPH0UNFjabsUbX71PPT5GGcNBFpnNX6fXVzEITBSIoNMiKyPN2VtMecRUdEyEpxCSXJRJkaoKonQ46lR5QhJVx1o+JLoTsvErSB9oYovwBT72lHiUEDx6+xFlfYfGB07lFDnZJouaGHKcDXTNis72jPUB2gfUsBuPUSTe3aB2dt5hbYsPIHROEIZAap0nz8HBI8t5PCJ5Q0aDlxBlz+nZis4HHj54hHCSXOWYbJS85IJnNbecnt2lnBQ8+9Iz6KogiMFWSmRoXySOlI/4mONjpA8OiUYiIYCzmlyXRHJCNIkzJyTIpASWqME+Ig5tSNA+Dj6Wqb0u/RoRJPgU34XPwGf4Pin4o1NEZ8B5mtWS5WyNEUkQIFyBlCWSChElpRlxfP8YLR1V1pNrj1ExqZi1R6swWMAIGLxRe9+jvMdlHb2RFOUN2l6ye/Qj/Pmf/RVMdYCUkqPn/xzbh8/z5c/8PbrFLbT0SBMgKJy3dFbT2ylKXGN2UrCat+zuSa5dHVMVCt+veHDcIFlSGk2eGXJVE8qOWGUIVQz8Ty6qSsIL8J6oBcgCKQPKRU4XHYeixEe4f+cms+M5eZCYEJC2G0zlE2/wyvYuk2rE/fkSU+yRlWNkboi5ImQ6meRrTRyshZIiFkSw4HtiPyZog8CgvaIYRWZn52A1L1/5IL937yswmQEGGzTSLREMpsox4Poe4w54+sqNZEAO37QF9cTCHmGcT3n68Hm+cP413KilCBrtQIQsdRKcTRXTLlKpQ67uP4sW+sLmLh1OvAswJN/Goa0Z44VVzkYN3TQtXdeR5zlFkcRRG59W59yFTY73EqU0IVw27I8Xn91FBdEnu6mu64fOSYri63tLnhc8TmCSg2OAZDqdvicrFwi01vylv/Qp/tGv/UOOHzxk3TRkOkvee/WK5arh537u59nZ2XtXW9qYjE996t/nN37j17l3/5jpZIxWmt4le6LtnT1+7pM//56JXSCB9rKs+KW/8tf43X/5L/j617+aKCgkkeEr73uVT3zip8ny/Js8W5BlGT/1Mz/LB374R3jr5k3WqxWT6ZRnn32W3d3dizzrf13FqX8HBv8tGo9tKCN5brBhjg0eaVONQ4QIsSNKyXINv/97c+anN5hMjyjz5DyfVLhbWGeYPfoqzj5iPO0o8i5VBj00bU9E8PRTVxAEbt2fce9eTTf3pP06ZK6nbiqKPMWoReHQfsVqPuKNr+eU5Q5FVaKzjExLtFBEIQjBEJyh53lG4qtcOZhy89YJTS8ovEQ7iZYdfXyE603y3nMNXbDUToDZosgmII8RMiJEBKUQqkDnWyhTEcM9bjy3z93jyPmspm4kxni0kviYPA6t9f8/e28Wa1maluk9/7jW2uOZ4mREZERkRuQUmVWZVUBNUAUUhbvahQpsjMo0FpatbtmSZXxj9QVq+YYrun3TNy1ZLZCQbTXGF2AaGhoMnS6TFJVUUUNmVVbOkTGeOPOwpzX9gy/+tU9EFEMjOulql/KXtkIR58Qe117/t77vfZ8XrQxrKz2c8+zsLnCuxNjA0BU4r2mDQ7o5oWpBTAjUtK7GyAyh5/SGRWKHzQXOzagnN6mP/g0b9luM8zloQYiOy2c127OX2ZutUYr344uI0TUqGBSCdn4HM5ohtEQohdAGaXrofANj12nbY4JwKB/QssaoiNUznDhmNCrwbUu7cAQf0Rzi2z9iYL7OsLeDFy1GKaww2EIR0ASfIbMWbaCatyzKY3rZKiHIzoWXXMKhcxy7pqGqy5RXLUVyAyuBNpI8NxRZRgiR2aJMXS6funJKeozUzI6OqKYluR1iezlSJ+F1JJlorHfkbUs1n/P2K29x6clL9MY9mg5Iq4XBy9iNKxXIiPYRUAStMEbjXIuU3LsJ0FJ0iBPVsRFTLFYISbQfhU9NQiQyWHxb0jQpX9kFgwyOpm0IJH2ecx7naw4Pd5nOJ/T6PazNONhpiCyICIJ0BBlo9JjDSUm/UBTaobVE6rTBGqOwZhWlLVDjXEmQAdkYtGnJnMDoFlTNaHSW3Ts3eOtbX+fp7/00UWmUXuGJ536SC49+mD/9/P/Kzdc/T3M4w+SWzAyw2SrFaIQQNrHkfM3u8YLjaeTpx9cocsGiapLBTIPWHi16OJ2BUFRlTbVY0LZVQgepZDKzWepUK5VGntZoZrMZk8Ndbrz+Ku3hMQ8VPWyW8E7JoJOKm7IsmZwcESKclHOyM+sYrbDSdJ+xRCvVoWVgMZ1SzUuayuGjR+pIZguUsWipMEpjTAZE5pMJ3/fIJ7hx8gY3T74O0WN8RLUORMQ7QVsHxETz0QufYr13LvlHH2ARL20O37ZExJDx0Us/xK29lzmY3CEGQeYiQkZClATf4mYBuejz8Uf/LkMxJopARCHvZ6Y9cCYXtM51mtglzquDxLfuFGydYjeLLg0mGae8D8ms9wBoO5mm5vM5QogOaL/Uz94rCMN9n8fyT2OSI18KdS/HXWusNQyH71YxmHauM2c2+Zm/97O88Md/xPXrb9O2LUpIzmxu8qN/5zNcfvTKX3oPG2fO8J//9M/w9a99lWvX3mYym1P0enz4o9/Pc88+R1H03n33hRAMBkP+48/8GD/w8U9weHSAEJLV1TWGw+G9gq57fafPt/vcpVRsnNlkfePMt6H9/u1Jae/2eq8Y/C5a6byVehtZD1x0iDa5/UILjQ/QzhEevvn1BUe7a6yMzlH0LJnNURpUF3pt/Vla32N6co2TyTZ5MWXQqzDGsLJ6js0zA1xd8md/co2taw256rE6FCihOuj1nMlem9zKsiELKY/21s0eoVolH1ussWQ6Qxlxyqry3uMkBCyaAY+eW+fu1gHHk0iRR7R0IMAGj2g71EzwNC3MKsOZJ/8uJ4s7xMlud4oRKQQktPh2QYye4BukaNhY0+T5gIPDmkWlkzsstuS5YH2lh1WpOPBB0wbFfB6ZzxxlFTHGoySIWKN9m7qaMeBdQHVAVyEtOrZEAYvj12gOf5VLKzdZGQSMSagQRMSFwGC4S7H/Re7M5jTuaQozxuiCKD1NO0d1n60gpNwOoZDKIm0P6cvTq3aEQMQlcdGhpSAoC7SYsENT/i7r5kVWxiVGK6RRyKCZoTAyp5UK3UqUVzghgIb5dE7VRKwcgUisyBAg+hbX1DTVguBj58BNJ7w0hk2u8kGR0zpPWdWnEXMpoml5itRkWRovK6UResmzTB2RGDROG3KlqcoJN964xRPPPd5F9xmEVRgf8bEjhvmQOgBCE6XBS09LRYgeQef0lAqWedBaJTSHTiaCEMC36XOL7TJJRuBaQzWvaXstWjukctCA94mhGIPn6HiP6eKEwWBIkRUYY+kVBTCjqywByUuv7FA3MB6kRBApQYmAkhatehg7IC/W8bGGcp/gIlG0RJGyfo0KEGcUmSZGz+svf55zF6+yev4KIPBIjB2wmNdM5wajH6M/HNAveonlqDvDD8mI4WxOVTm+8eou5x9uaL2nbwVSJZyGVFDPa6699A2mizYVZvpe7u9y37JZxnh1JenRlCaGwNsvfQNmU9bGI/p5gTXmFFMSus6glopSVhwc7VMLSa4tQupTw4lQiuAdu7u7HOztUzfNA4keS9SN1pbRyohenqf/qxXBOYZ2hU+/73P83suBrf1XcYMWZTrupANdDvng5g/xfed/ECMMndOMext4IC67hYj7yhcBIrKan+XHnvuv+L2Xf43d+jqu16CUwUdFrB35YswPXPlJnj378YScWk5xBKeuVOjkkCKRE6rapbP5fa9xicdJSK040sDMAAAgAElEQVR4OgpeRnkWRUFb1/dBtrtcdpFMWPenKC0TnZYFYYL4p87i/ZrBZHYT3XF6D8FTFAW93oMj9L/ZejAucHV9jR//if+Euq4fYDX+VcEMyy7ucDjiB3/ok/zAx38Q7/3pc/3bWKcdO5F0lOOVFcYrK3/57/0V/3ZPj3r6L+/mU/1rrfeKwe+ide8UFRFKIHRLPXWopqFqSkQVcd5wcjLl7dcEK8Oz9Ho6YT1MCmlXUhJJzkjZriDi+5ktLrCobvPcszUrKxYpC+pyygt/8CaTvci4P6SwCq0ESmhilHhhqA7mHMU5cTMj6xukgr0diTG9xDjUCqVFYhPaJII/TXjxGXuzKUV9yNXHV3np1R2skUQvaXtgdJvSU4LAucC0kmRnPszVj/33vPryr7J9/GUGPtCGgApzcAJfBSQKFyqca8DXyCgwFpppQ5FLxqOcIoPMShIHOnbZygqjU/Ewm1VIWSSshnUY2UGMg6ANitbbBFeeTxAxUp1ssbj7f3Dx/Dus9yRZ3nV/RLpi9AicUeT2Dr2jI67v7DBZfByhBnha/NRzYSyJ0RGiIMSW4BtcfUQMC4KrCW6OD22KzUPggsXFEUezKdJJ8CeUk3/NSL7IxsinTrABSUYUkn60FCHr8qLTyA+Zxkm5z6hOaiJVF7uWosm8a3BtRVmXGG2IsYt5RHZxeIGmbZnOS3yI+BAJMd0631/aCKXA5nmCoGuF7DR9yTGYNivhXMf4GrCYH3PjjXd45KnLaEO64GhSoRVDOo16KRFRIYNBqrYboTUUdgk57hAxSiGsRVgJsqVtZpTzkqZuk+hemDRCliCC4Xh/gilmSeNFTE5MkVyQrVtwcHjAcDROHElrkdqwurrCDXa66MV0xa8o6BebCLkLHZBboACFFAotDVlW4L3C1TqhkWQEkdBBCJAIMhUJOlA1E95+4yt86OxlCDV33vw9vvKF/52D3beQYpWNjTUGfUNuFUaBkunxIpGgI61OWJG5iNy4cRtBZJCRXMBRE1FUVUUrHCsrK2RZduo6jacIlZQWs729jVLqlGdXL+Y8NBjSLwqyLMdoTVlV7O/tUXXQeCFEF7mYElyM6IpVKRExMjk+5vat2yghKIqCot/v4Nlp0zwFP9eOg4N9dlvHaLzSXdyCF3C29wg/+9Gf4829r/P67jfYL3fR0nBxdIXnrn6IjfwCKtr7QikiKQ9aQVTpryImF/KybRhTt1wheXhwlb/3/f+QN3e/wls7LzFZHGNVzqW1p3juuQ+zZjZALLfc5JRNFDsB8b6LowSyo1xMgHuawSXz0HvXGVgk8/kc5xyj0Yh+v8/Zs2e5cf0dBs0wSTSkYyk7ux90fX/m8vKWxsspLznPc4wxTKfTB4wzyyWlJM/zP6enfLeWEOL0efxN1vLY/P+r/v87sfSdO3e+08/hvfVuruWVZYCtnXfYubbgoeqAjacbINKYyM0bDhEvYG0frTO0VgkGbBMbLpI2TvDEKMh8Tnk85uhwm+FoQQgV3/jSNpMdxahfUBQJN6GlRQgFOGIEG3qUhzVbixIzWmCzgnmZ07ehw4ykDW555Zf0LR4pJUF6ilzTVg6058nHHuLG7RO8XmfoJUbUCCVoUQg1ZOPRH+GJ7/+vUdlDnL/0cXbe+te4codWh7QhxBbljpHpVeGbgKtVciEvQMnAsK/oF1AYkllCahJ3NaB9ROCIUdC2mpPjGucseZHG4BJBDFD7SBUvId2IuKgQsWHn1vOcXb3DqABbKGy2fL9SF1bGgNAVhYTN8QziOyzsDxPzR5gtZrx+t+B4NmBzZR/fCpwK1GKBJ6IaA2Hp9mtxTtA2htqvEuVZykVAh4ZQXSd3L7I+KilyickURlmUFAQhcUcti3JO78wmTniCTGBVGT3GGBrVUs4O03uiI9IEdCYwQpBT4F2gdVNC2yJUQEpwLqOqGpxLRVDjHM67DveQbs47pNIdIkUnULS+dyI/jTgjHdcqZBS2z+Ron3pRofQQY3XX4ZComAomHyVCKIRQyYjSHVuCFKkoEUQRaELJ4eFdprMTqqbChwYhQxotNyC8RYqAMpbcjjCt4eDuFEIalRurUdIigNksse1ym2NMlnJ8teWhcw8h1WtJf0gqhouiz6C/iQ87XWdGdCxHT/AtrZsznx9A8Pi2Ifg2dbVjwMcEcp/MbrGY70AEFyx33qq4fPkhblz/U97+xq+RiTnCjVkZXaKXGzJjsUZ1cWNdCg+R4BM7NApHGzOa5gx1dQsfWmLoRlcxYjLNuL+CzgYpQk/rToOVCuMYPJlzZFnGYrHg4OAAFT25MfSMxZqErbmztZXSbrpkjmXnxgdP3dTEuiXM54hBnxgCJwcH7O7upiKwKDDWomzXNbyvgxV8wGcOnWnK2ZzDgwNEcCghk9YYsBQ8s/kRntz4UBovI1BSp2OlO8biMmciChAKT0Pp5ixcjZSavumRy6wbGt+LcFREhrLP9z70gzx35mMEHCBRskt6WvKIhMd3qkQRJY6Wsj2m8g4jJYUdYWRBNS+p25TDvNT/WWvp9Xp/rgg+Pj6mbVs2N89wfHzEbD5Ddf8HcU8ruHQK39MJ+lMQd11VFHlOr98/xfgYY047h9+e79w2LXt7u+8VXN8lS/+jf/Q/faefw3vrXVoippNTFBIZFefy97Fur3B0MOHurTmrm6CtYXe7xZpeBwuWXZJC1ulPMry3gMT7JgnBpUdpw8mxo6pqZkeBt17ZpZcNKawm1wqjU7KAUEC0CSHhakQokSqmoso7xusHhOZVAk9CuJi6iN0JSUp578RDILOCbKiZTiMh1qyuFmw8fJWVM5eIIgPVZzi+xPrZp+ltPEaQfWIUjDc/wPknP8vOt34ZjEdGDdrhTJO6RkHjnaduAselYFZFhoUiN6lIs0ZgbQ+hewihiK5CthUxenyI9HoaV7eYkDM7qbsxjyM4z6zSzO1ThBMH4pjQnlBWbzJYF+RGUeiI1QJj+yidIQU41yCcJ8aG3MEwP6QJb5IPvpd+f8Ddtce5e/AOD60fYG2FIiPQ0uLSlhIjzoFrW+pGcFIJKvcMrirws720YTff5FxRoQuJtZJcphGmMhkRA8Fy8+0tzsWc8eYqQQSiD0hpkNqhLDhm5FlB1i9QNl1EIEWCkcdAaB1t5ZhXB0lvJ0eESEpwEHQaJU9wjuBd0lK1LTbvoVRyR6cLE4vVqRB3PtC4FmJIXUWliNqgMRxtH3JObmCspvUtIoTEPQsPivKXOcsJuya7fmTF9OSY/eM9VIxoY2l9SysnfPqzH+PcpQ2+8eJNrr9yBG2kjS3T+R5yKskqSzkvGW/0GIy7CC8EZblgNBx14nqFUhZjMzYfGrK2MeRor8SEnBA8xij6gzEHh4Y2OHxnEPCxSYEttaD1ieMWXJ1GeB5CkF0h7cizSJaXqJgYnFX1Iv/Pb3+NumxY7Smi0kRhsLYFt4dvc9BDtO1jbIaQuvvcGqDFIDFWkBUFddXDuabr6PoExhaRotdDmRxldPeZpUIuxkgMAe3d6fh4IQTT4yOsSkYiISQ3rt+gbR3j8Zher9fFXHag5OBxrkdeVhwdH9MWOd55dnZ2GA6H9Pp9bJ6lC4f7LhgeyAZWJkG9Zeow7929g3eOeyxBgUBjZMRE0xV/3flzeSKNouvZBfbL23zp7ee5cfIaTVyghGRsz/KBi5/k6uYHyIXtjjXZ3Uc6+IzMQCTN4rIDmGKFBDGmQjDiuDV5kz+79cfcnLyJiw02SjaKSzz7yA/QH404vrPFYDA41QUu36/Tp7oszNqWsqw4Ojrmuec+wNe+9lWm08np+7NMT/n2zOWlGWUxnyMQ9+kP9Wl282QyOdUX3q8rvH7jBv/yX/7G38ZW9t76Dqz3xsTfRSuSIKpElaDEtBTZCK3G7G3XzKuSYpDjo0RnRwi5BixPWBIpA1obYgwIERDSsbzyFUiaSrCYN7zz5hHBS7KeRBuNVgl4aqxEaQNRsmhLKqaMNgT9lQHGaqRMI92qPGJy8hJlUyLVU7TtPazCUhcTXUApgckjzkvmc8m45/FHL3F771VifoFHn/lRFrMd5q9fJ79zntWHv5fxxmWkKHjs2f+C+WKXg1u/jwtTeioiu/zfJKaWTGqNHT7Lmb7DT19Ga9GJ3y3KDDH5OkJZfHXYnTxrtEwxZlpFNtc2GY43qOqGyfEO1eKQQmve2c2J8z2k1sgYUfpj3D1ZR+XXGAz2UySX7aOLTVSU6OoI6Vui8LQqYrVDLW7SKzKU7vHE09/DN796m3funKDNFmQBEwPKSZQIicXnBE0TmcwNdw7PM2ku48pjNIkPiD+Hn/8QQb1Fr7ebBPa2jyrOIKMmy0f09Jitaztp0xnpBxMXlCAbWIphH2NzlO428fs2F29alGmRuqacnyBi1zUV9yIMg/N4n3AebV0TQiDPc8SpOD25V3t5jlaKRVURCXinkLKDV2uJ1hlHdw653lzj6HgPgkfIVEhmKu+6gl0nAzqHcCDgcL5hf2+XuinJMkumewipODjY5dL7xnzkk+9nsGbp9XL2b38dd6JRMeB0RWgd5bymrDzHR1Oy3DAejWl8Td6XrIxWTwHbUqTkk8Gw4OrTT/CFna/gfIvUHqUiedEjxhXK+oDcRKQKCBGRsSWEGbgy9dxiN87zEeckTe2IwbM2LtAmacDwgV4Q1K5l7mE2W+BRaL1PW50wqwPIyJEw2GydjY3HOXf2aXxU1Jwk1JQ3GOkwWhLFmEU1Iy8alPIoEug3yyzS2K7rpB8oLmKMSC+7iLLuIqF1MJsRpGDv4JCyrNjY2KDf7ye9m9YPFIOtW0b0BfZ3d6ltRn80otfvkxU5pjNKLPPFl+aKZXHjhQMZkTENYFfW1lDGPDjaXWaYd8dH6gICIhAISCSewDe3v8IL136dE3MHuaLREmIQbPt9tt55g5sHn+A/euqn6Ov7I1y78e+p+C8VoMuCMwhQUeBiw0vbL/DCO/+KeXaIXpEoGalDwzv1Ide/9QbXdxrGvTP0l3nv9+UmP9ARDR2nUCjm8znz+YyPfOQjvPzyyxwfHTMYDk4LvPu7eN57mqZJbEfnUUpS1zWqYx1qrRkOh0wmk9NR8v0F+Gw2fZd2rvfWfwhL/5N/8o+/08/hvfWurQ4ZgEREOLpZ8YXfvInNJJtnc0YbBdoI1s4I6uoO9czjuUKM5xNeofHMmRKDxDsIXnZjooD3jjZUTKcVO1tllz2s0InOkbJpbU6WjXChYVreYHReM1jN6BUao5Zjv0gvi5hszsHBNyibAiEewTl/OpJtnaN1np70WJk6G3kvUviC44nn7vYeeTbhxuIamYlIkQTz18xZLjz1YzzxfT+LtZt8z8f+R97qX+TGG/8Xs3YfqxuQntYbAhucvfJJHn/mc7z8p/+csIys6zRZUhq07aNMTu3mKZEA2RUtkIT3FToERsaQDQpqlTGrJaurF4hqnag00BD9CkfuIrPdCwT1Mk9t7qKEwNo+Qmi8m4BMIzRkmx6DEqMUxmasra9z5amPc/ubN8i3bsF6oNeTGCOR3TbtfOBkkbM3eZhF/BHM4DF6OkN1TsgmjlmUG7x19yyRl3jm4jbKWGQxQnqDVhnWFrjg2L55lwtPPUwkgOigu0isLrCm1zEEBUJ3uaQx4WakU0n0LxQiLCjnJ/QyhUd3XpAUoZcKwYp6USZ5QGcmECJZZJQU5FkyGLXOUTX3fpYafpIoJEbm+NYzn09BeGLojv6oyGxKB7gfJRHxtH7O9u4WUcTUmVIFVlmiBCkCTbWgcSVto6kXAUUGViF9RMWIlxohBXVT0yxarMhopoqj6Yz1h/tdURTSdyZC8IGmabnwyMP0R9+imjYoFZEClFYYu8p0ukdhloVzclCr4BHSIUidcucDrROUNZRlS79vGeQRVEqDESF1blSrOJlX1D5l+65kASM9UjoiEh/nNG7B7dt7NPUJFx/9HpQSeKGSuQfRFXMDZgsoiogSS7C0QOukg1xeDNxfHIQQTj/HKAQ2pnzdqqoonWN/d5fxypgiz8msJbOmG3923cUQQKUunvc5sm3RWpEXBSZLXTFt7F9YFN2TE4huLAoZkUF/gMkyThNtODUHd8fSff8Y5bLRzXZzg3/zxq9SDfcoRgkULrRABoX2iiZveXX/Rfo3+3zy8n/W6UYjRHlqzEmFoHzgMaVIRpR3Tl7h+eu/STs+od/TSCsSBilqdC4QMpLJNBJeFmbL27e/7hCW3w+JDZbt7W3G4zFXr17l5o1b7O/vIaQkyzK0Ut33NeBDRElFnuXIniIGn+QHkwl1XZ8W7ePx+DRb+f4M+E9+8of5b/+bv/9ubV7vre/w0mfPPvSdfg7vrXdthU6InE5KPVlR9Hcphj0uXh6T9VNHIkbwLrAodzk6nFI7iRAXidLROgt4vG/xLiR3WdPQNBUHR1Naf8KiashMQVTpjJo2D41SlrzosX1yjB0Lhqs9+n1JLzMYrYlCEoKj1RGkI7jI7tYb0OZIDELopNHxirpx9AuHUGClRBq4efuE/YOas5tD1seafgZGJfZdiIHa3WX3lV9hcnKHD/7wP0T1zvLk9/0DHn/2P+Vo7zVmky1CcAwGZ1k78ySqOA9RkOWrNMeBGGXKPI0B7WvaaoJzC3xbEl3oOkuh43UJaEvq6RZRCLyb0/oG5zN6vYKg+in7Vhiil2SuR9UUvHG3YGy+xCNmSrM4RIqAd3N8SOYLoiJ4gRN9ynrBopW0TcuomPDopV1MhK2dOdZq8lyglSJGx6IZsV9+GNX/GGbwMIXpJ8RLt0nZ6HFaUzcD3rybo/kKzz2+R5wfUiOIXEBahQ6aclFysj+ht9qjnTsOtw+pJiXRw2S/RhpFf9xnZWNMb5SncW4gPV7bKan6DY2rmVdTjOylMS/Jye1cTd2UuOjITZYMKdETo07ucBdZVAvqtk7olvv4aAEgpFGwyjPyZkCeawQeosRHRwiO2peUR1Mym8bhLngCjjvbN5FSMigGWN1D66Ibd0rOr19m++YW/+Kf/yFPX3mC3Ws1qi0QutMaIom+RkWFEppSzKnbkqopUcria4lrki7Sh5i0f41g3mEknvvgM3zxha/gWogx5T1LMybvP8usuUMUR/hckPkWIzs0CanQbn2kaSOLuSPPDavjHG0EQhoQDhkljdfsHC2oSsfqeEAvl1gt0Ko7DoEQJc4HMus4PPgm0/kRj176EDFYoki64hgFIVp660/RqgOm5R18iBjnMSbx/pbjyqXeb2lOuNcpTJ0+m2U0vYLd3T2C82R5nvKRtUJrdQpEBpHSNJqIcBJlLVEbsl7vvkLQ/JVFkZQSLwSRgAop2i7LcoJacgXuW6eV4HKMK04rtkjghdd+l7LYJx9a8tygrE7Z6RGUF0gtqFc9X737eZ7e/BAP9x/ruo90uu2l8zg+8JgCQRMrvvjOHxCKE/r9DJNLlFUokXJshWkhGrKBpmkST3NZiGm9lPakomw5SVkmiVhraduW7e0dVlZWOHvuLKura8znc2azGSeTpGstegU9myLtTqPnRIQQ8B26Zmtri8uXL3PlyhVee+01yrIEwGiIKnDxwsO8Vz9896z3xsTfVetBoGZ/mFEMEoF+MDCYArTu4occGO1BlBzuv0rbDohxRCs9An8vXL1tWNQlMrvLyqqnyC1PPpvRVoJmXtK2AY3GBAjOUS7mHM52WXvYYDNBZjTWFphkXcW7gBAV5UIz2Z5zcPM6vt4hHYoKVIGxQ4wdM5I19CORmoDi8MSzNspZH2tGRSQ3AtPxymKMZN5jZMPB3T/k+suP8sTH/juIFmnOsX5+k/XzS1JYhxYWASEa1s+9n4Obv0HjXIIrO08rp8TYIoRJmi3X4EKk9Y7WSaKH4BeUzYKAAu9onGPRKmxP4qVGqoSo8IHOVOGZh0d4bfuAtfGL9FggEPjQ4nxD6wSti5ReEuVl5ouYNmh/QnvwR5wbb7EyLJAqp20V3jsUoE3Ba7tX8PHD2N4Fsiwj0wqhMqQUHQpGojrTjvMXeevuAZceOmK13cEpSdtudoHrEiU0s4MZ85MZk705UihyvZJQHCJ1ipsDx93DHYZrA84/+hAyg8ZLdBCIEPHaoPOGxewE50uEEkgjULnASLAiB5/0kpU/JrYeLdP71rTJFS0FCWjtUsciRE8MnhgCznuGRR+jM6zRgEcEjccRo0MFi1cNbdNStw1RtkxnE6SQ9PMhRhdobTFKIZTEkmEG5+jnA7Kb19h//fdB98jHT9CYDYTyHTxdga5BRELMWVRzEJEiGxIbwXy+wPYzlG6RMukAnU+n2fUzYx65cp7rb7+RilPnePzqJ/nQj/wEd66/yFf+33+Gm94hzyJGB6RMF3c+QNtG6tqTZZ61tfSarbYoZRGdw/t4VnJ4dMjauE+/kOQ2fd9VlwcdEcQQcd6jZBqbTmZ32N4esrb6JN4HghN4F9k49ww/+Jn/ktYd8qXn/ymT3VcZNJ5cqo4lqB7o0C2RJfdry5TUGKXQWcZBW5Mpie7MPKmrqNDa0O/3AVgsFjjXJowMqbuorT19DCnvce7uf/xvd8nKoFHK4aUCo9id3uaxs+cRy/PjqU4wFYH3isQkiZm3U24efAt5RiAzhcwUNi/ITUHwnrotCQRU5mnsnJsnb3J+cAXwHRamKwTjt7cf00NO2wP2FjeRZwLKJh13nvWw2tL6BuoFoREMxn101cd7f9qt29zcJMtytFYs4+hOR/Td+6p14jsunb5BekyhifMkyRj0h9jMIq1EKIERChmXbu6QWJVKUdc1d+7cYX19natXr/LKK6+wWMzJskiemXcJOP3e+g9lvVcMfrctce96V2WC0WqOayxZrsmLBIONCJx3qTBwlmN/xMH2N/EuAwGZHWOzIciMRV3Tui0uXl6wspqwMEJA6wVVqZjte+qTEh0ksoGyaajdApMXaAVayU7jUyAokHrK8V7Jy39yyPzQkekcnacRVaDBhZqqPGR6HFjPdwm5IHiNbwLawMo4o5dDbiWZsWjTQyiTOjbtjIhmpXVsv/27XP7gT6LzCyT5kuwMNt1G0J20I4bNCx/hza89SlVdI9MBj6ONgaBqBJoQW3wrqF2gbqBcpC5U3Tb4kIot4RwLFzmuNHpou+SNpMd0wdHISMRiszEn8wtsH+WcG22DlHgi0dW0bWRRB07qh2ns48T5DBEX1PVNDG/R6znyTFJkIrlVbQ9Nj8N5j+Prj6GLTazOsTpHGt05Prsoq1YjYto4jR1Q1ld4486rvP/Cdio4XNsx3SRKWaYHRxAjRT7E2Bypl+5NEJ1z03nH/LDken2LS1cvoq3Ga0f0CiUtRjZIpnjlKPp9bGFRRiXsEctuksM1nnoxIVYtfblKJEG9BRCiSwYG7wneE7zDtTXBB7Kih57YZFwiIKRCkrh7KqRiQApF1ZaUdYkPDb3BKsZkaJWjZeqKKKGRIlK6GfL2lzhz/GXWxQwnYP/ofcwvf5bajhDRE2REuRSvF2IkM57alRgp0BhODhbYIktRYzEnyIjUrnPtBh597DxVu49r79BEw8XHvxfd3+Ty+z7L+trjfOsbv83dmy+yWGzh2knq0jmHFo7RoGC8IjFaYJRG2wJrRihRULkF+3v79PKMPBNkJmKNSDDrDtxMjEQfUBKkcMQQ8Hnk6OhtsmwdoVZofUPVeq6874MM1i6AvMCP/MT/zLVX/4Cbk+MuseVe0ZH0niKliHSfqTwt9sQp0FtlhrjoiqIIqRQVaZQeRcfe634ooA0BpOySTu6/P3laEKaoNZsQRk2TjA0hIIXs4vIEaMHxYp+AQ6AREVxTUVUJmi2FwGYZWdFHKktEMa1PqKmxyqJkREeFdAopLUSPwqFEi1IeYSPH9SGxu3gJMdLWU+p6hm98irTL+mR5Dyk1UXgm5SG1aDHKoKTECIUKFuktwoOMDoSiKPpoUZwaNuq6Zn9/n0ceeYThcEQI4RQtsxzRL9+blBzSJGmOD1RlyaKcMxwMyDKFNQYlNVoKkIKoBDqkUb3v7gtSgX7t2jUuX77MpUuXuH79OtPpCbldpyj+ZtiX99afX/8+k0b+svVeMfhduZaxdILVMwMOd0Q6cZoMpdMXWLRzdg9KXvnKDrNDj4xzjI4IFKU3eCCKNcxA88hTLQ895MjzdDUOBhcCeSYxxnEsGsqjGdEPaLzHeXf6PNIK3c1xtNvw5c/fxs9zxsUAm3mE1p2IOzkl+wZyU2JEQ9M66gYmRw1WS7JMYpRKSQ12gC3WkaaPb06AiAo1mWmYVHucHN5k7fyF0+cSxbIneH+0gMDk57jy3M/w5tf+KbI6IoYM4zVCtwg8IXq8kyxqmM0is+kcFSSHE4NVhigcwXsWcUy2epWge8g8I7cZRFg0CwiSqCQ63qXwr7G7s0c1mSZAtAarA1JoDmYFO8ePsRAaGW8hRST4kkJd5XiWMRzuYlTAmgydbaDtiOlhS+M2Gaq803IKlLFkmSLLNN4L6m7zD0HSU0cY/RrzyV2u35gThGMvHKd3qePXSWHIezkmy5MTVCWt3DIaixAx3iC1olzMuP3GXS5evYAXnqDoNhgFuaHI7WnajJQ6YTaE6EbuDm0btHFUs4rJfJdB7wxeZIiYHJc+BIILKfmjSQiMLM9QynQOZI3oRuwSSYyq08DJ1A0SgtilhFhtE75G6u4mEUoSYuTu3Vd45PBrPGymrJ9ZIy4a9ORNbh+/hj/7MQgijfUlyYGsQtI1+hSrpsWAUHqO7s7BOcKwl8w2KoG6fQi0rmXz3CplWzM69xjnHn0/AgVRMjr7LB89+xjN/C6T7bf58gu/w43rrxLb2zz8kCTvgRYgSe+jVEPy/Dw273G8e53ZomF1bMlMxOgEck8d0B5aWRAB11bgFsQYMBoyE5nLBceTbXr9IbO6IWYbPPbM9yVMVBSY/jmufuhnWJtOuH6cRoX3kijUacpCGmE287cAACAASURBVFeK01s6nkQqjKWmcT4l1njH4uiI8Zl1Rv0V5lUJXaHvfThNJYlCJAbj6Sb54P0m0LImhnjamZQimTSSvjcVmUam7+Fsus/t629wfHAX11bJJCcEQhny3oj1zUc4d+GxVEjGQGwj073ApC3x4TCxJkUEFTC5pWdzhJdokg7v+HCP2zffYHq8S+srRAwgFEIaev1Vzj38KGfOXkRKk/SDITI/rjgop3i3iyChflCeQq6Q6wuoLEtoq64LWpYlOzs7rK2tnr4PwKkBb7mWUXLOOVzrWcwXmGjBSSKKaBRC69QV1JIgk3s6ukCys6f7sNZyeHjIcDjCWsPDDz/M8fExw9GQPP+LYtb+3ddy9P2XLWPMA8fY32Qt36+2bR8Yw/9Fv7NcVVWxv79PlmWsrq52e2Faf53nsnxdywupGOMp4Nta+zd+Le/Weq8Y/G5cp60vWDlTcLwfupgwixA5Ebj99j5f+vwddOwzzjKMiejOxBC8wMWSst6lnFfouEpRFGSZSULqDhOiROLyN+uKg0mDqD0hQLNwtHVIo+bgEzpFAsHxlT++TjtTjHqSzCYhulYgO71YUB4lk3FBIFm0gek8srNTMc6Te1Z2G4xUGTobY/MxTfS09TFSVkQVkLQ0s7doy7MgJCZbQcg+MeV3pK5g1zGUES4+8WNU5SHvvPK/4dsTskwhdURGQeMEdd1Q1YL5ouHSpbMY6TncnTFbNNSuwbHChz71P+CwvHbLoo2i3y8SJDs4vKyIR19Aud/noeEug9ylCDQEzgfqSjKvBbvlRYL+Hnp2lIoIJZBO0Lp13jm8Sy3+hGcu3SEXqSuqi3UW9Ywghumzk5EoJFpIjE4CdNcG2maW4MvNNWzzm2z2r1MUJVYFIhpdG2ILscsqRUl0lqNs6rzJJUZEJvF5DAEnPYJIEQvm0yknuyf0N/oI4cmDZzXLOS4srSkwtoeyGpbCf0BH8D7drxCpszSfLCirE6wadZtjiuTyzuPamrosaduGwcoqses8KalTkR+68WJMm5mk6/4qQTSB4CMiarSQp07oVJxKKjelXEzRMXUYjc1ofSDKFkWLFpogQXhFFDVRKmRQXTFqaF1KxtGxIC4sB1sL5uMpxWCOMurU4OC9oyyP2Di3wrMf+jQ6y5PeEYF3x9x5+0+4/vofMt17k7KcUTVHaNLGKE6ZdgmOI/DUW47dm1vsHBxihUGtu9NxqpQWpQoyu0KWjZKuVhyli5uQxthKJWf8opwhZE3VFjz3/X+H0fhc910BGeccbX+LW1tbsPkBwNyHGPFIGR+INrtf3xkjiBBRQrJwjrppaA4Pub19l888/eOcvXCR6fEJd2/dAt8BkFuHdw5OM3Tv8e2+nXXn3L2xdNLcBuIylhCQPrK5cpbd22/x5mtfR1IyKAymSBpnSHrjpj3mzvUjjg5ucfGppyn8Ojevf5NsUDBeGVAMDFIHREij8LKsqI4rsjBk49wZbt38Fu+88XUK3dKzFtXLU3INCXxfV7u8+epd9u7e5ML7nqJgwOTggIhA9wt6/VRUhhCp25pyMqdQGhX1adcPUoE2mZywtbXFcDg6HRPfv5ZdxGU+sZKSfFCgQkAv5ojtO+RFQfHoJeLqKlJnFCS9bS1caiV0ySPGGOq65vjohJXVESF4er0eV65ceQBx826uX/u1X+Pnfu7n/sKf5XnOCy+8wGOPPfbv/Dht2/LpT3+al156id/6rd/iE5/4xF9Y1G1tbfELv/AL/Pqv/zpHR0cIIbh69Sq/+Iu/yI//+I//tR4rxsgv//Iv8/M///P81E/9FL/0S7/E888/z+c+9zk++MEP8vzzz7/XGXxvvdur42l154eVzR7i9aS38r4EYdi6ccSf/OEb9PSY4SAjNxrdZbQikk7JxR5GB3StufaNA9bXLzK42CPKIcSAVQsIc5oQEMqyaAT7sz4CTVk5Tk4WDIdtGkNQ4Z1j95bncLditd8jMznWgDapUyRFwuGEKBDSg8hoY6A6aZgcBSaTmoHpQUijGE9IJpdmShMb2nZOSEK+ZALxJd/8wv+CzH4FyDD5kNWz7+fK+z5Hf/xkpxtKo+MoPFKOePK5v894/Umuvfwv2L77pxhTEWIS4CslUFLSyzXT6ZT1jR6XnhjSlIFZ6TiYZpD3mewe4oLHtIK6rsCnGK3jO39An99mc3XGMJdYI5E6JpxF0LhGohtHKaYYKmKeI7RN2sagUFHjspytiSbc+jOevdzH1peRcULT7ONpCDG9JmJABIfzlrpu8D4S8MTqGnL+f7I5vk7fCjIrMMLghaIQijj1xG6zU0p1YyyN0QalTIqKkyKBkZ1H4PAxjZYyW7C/tUc2Mvi64vHRGj/07Pspq5Lf+PyLXHtrC5n3GK0OGW+OkDZpVwkSXNeljZD3I4ujWXIlYxJ7L7RdBnVN2c6wmUXgEYGE1JAa2bk3RezuV0AQqQ+cggYzMuNp2yaNk9N0rOswpHg2bzJ25Yj9Zoq+vYuLgf18E7HxVOpe+4agA8Kn1Imljk1JQ93UBNEiKdAxJ5LRLioaN2G8WpDlKTZMAGFc8OhTFcId4so9dDbiaPdVXvi//zHu6FUyVaUxb65ZH9QcHS9wYXRqXAq0tC7j7pcPWPzRHTbKFYoYKdYlZkMjBz59jyVoYdCuz8kbDeVBRXZOoc5kKEpEd8GlZaCs5tTNFlcef4a1UU01u4Htn8PVB3z5+X/G9vU/IH/4Y6xvvO8B1txyvLWMg7tXEHYu6BhwoSVXkmxlxGQ6oW0d0+mc4+MTVtcXzOYz6qqG4GljMqyFusER8CEBy5epNSEkWLmX/rTgATrouu/yeyUhNsTgEA5Odnc52L/GoGcZ9HrkNh3PQikkyejifaBoW2bzA17/6pc4O36MA64z2uiRDzNU5pEiTVWC9yhrqScNeppT7U54Z+cWo75kmA3QNsXtSaEgdh3h3JNVDYvpXV7/6gkb+RpH9W2G6zkmz9AGpEgSB90qolZkuUE29rTjCvcg09vbOyilT7tNy/d/Pp8zmUzI8zy5h7VBSQPSYfZ2WX/lFR4qTxBRsH39beSPfgp78RLWZLiywTeLji96zymulGJRzuj18y6327Oxsfa3Ntr84he/yMnJCWfPnuX8+fMP/GxtbY1HH3007XTf9vj/tr/fv4QQzGYzvvzlLwPwxBNP/LnfFULwyiuv8NnPfpbr16+zsrLCRz/6UU5OTnj11Vf56Z/+aX7nd36HT33qU3/pa7kf9P2FL3yB4+NjnnnmGYQQvPjii5ycnPDUU0898PvLx/73PTp+rxj8rlvigT96KxJtNW0TULJhOo185QtvY0WPfpGRGUNmFErLlEpA6juoIJEijVPDouCNbx7Sik2s/QBG9VHmVUx2g62bhts3BohmhaKfo4Qg713i5OhV+oOjToMiaaTj+lv75LqH1Un3pJXAKIPpxochuI45KIjBsygDVJFhYVACFpWjbDQ9LzpQ9QKxSJuyDw2uXeB8pG0FIbSsDieY/CQhNYJncvcNvrz9ZzzxgX/AuSufQUi7HKgTRUBIw8aZ99Nc/Di33nqRjVXDuK/JssQAExFcEDRtZG93zixXrK4ZjPEYWTGf3MGKHsI3NE2LwyGC5OTgdXTz+6xvThgVgp6NKGuTqYJkMggdoieEfXZnf4rPLhPVCkp4fJBoH2mFhvAodyaBp0cfYeP8RWaTt4nyHWK7T3DnwTm8VlShJTQLgjepeGsOCPN/xZneW4x7mswGjEndMY3B1KJz+kpa12Dz7AF91tL1qZTEe0cjHLGzTgbv0cpSzSuOd6fMD3f54R94nI3RgLLIeWjtHHd2K5pacnTnhOnBMWcuPsR4fUwrk56OrtOjjUaawGy+jxJZMp1YsDqSCUkRBoQQadyE2LQEkWHMMA3YAvjoiX4Z+J7+VHgCCq0Urk0basLiLHmAkb4dcmb1AtvtlBeryDk/JxtusPLUZwjDx1CtI6DxojnFeIjlKFrK5DQPPrU7JQgZyItAf22VwaCXnLBKscwOv/byr3D9mzW2f5aNs1e5fe1ryOYdhgNJ3oHgg4xsrPc5PJpT1RHXmTuc9kyOa259ecGT5Sbr62tE7wizmvZwgVj//9h701hLs7u897eGd73Dns58TlVX9Vg9uN1tuwcg9nXbgLHpyMQXgiISkIwUhPgQksiJSAgETHIloyQCgkREEsWKnQQEGDn3XrgmpA02NrbbTbvb7ep5qK751JnPHt9pDffD2udUNzb3Xuk2+eB4SS1V1Tm7965d++z32f//8/weiQxxX+pmjhc/+yriWYnxmp18yuDtguKe6NkDESfyfp/MtOxsvsy1rT8gSZdYWruXcrJHufsVFlKHTKIQQrrji9RRcOPo10fTT+csfs6mc01LYVLy1VUuX75KHeLk+bnnnuNgOKSczfBNy2K3i/URbD9qalohsHWLzSzaWZyLjSdSSrDXE8xHE8N431EsBj+nITjH/miTE7mh18nJ0wRjdBRrSsUPg/PbKiVBSJ596SXO64t0b0oxhUanhiQlYlnwtE6gfcJ6ege5HTDZ2WepSOl2MjKVxWTwvNM5AN4HtLUoCUrAznSfvfIa+VqOKSIEPnJYE1ywiNoSvIzeU8zrhOBRcKaqKmaz2XF4xznHbDbj8PBw3hlcHLeIxL74AK+8ws3jCSuDHjpIisMRTz91loXVDfLBEqUL6EbMO8k5/vk48oQ2TYN3gbapWV5euX6ReYPPn/3ZnxFC4J/+03/Kj//4j3/d17XW7O3t0bbtcTUiwO7uLs45FhcXj9euVVVx8eJFqqpifX2d9fX1Y5H1zDPPUJYlb3nLW1j4Bp3Cs9mMn/iJn+DChQu8/e1v5+Mf/zi33norZVnyd//u3+VjH/sY//pf/2u+67u+C4ivx6tXr7K3t0e32+XGG288Xgc3TcNTTz2FlJIHHniAEMKxEH3wwQeP7/Pw8JDNzU3atmVlZYUTJ068ThD+ZYrDb4nBb/KTFglpxzCrHSE4Lrx6hb1rM1b6S6SJIE0kWl+HRwuh8GGOK8BF1IAxbF8pCUnBg++8kyzvs3215vKLO2xfMWTmBNlCikhAY/DB0bo3s731NE2zx6CvEVKzt1tTqC5aRhO7UhKVaEyWY5J8bkKfzFdqktlUkXhJlgq6uWRaOkYzT55rtPTIUOHd0YWpnTPpFLPaYVLBQj9FKAmiJXhF0XqmzSVefvaPCNld9Hsb9HoLQKzQGx88zzN/+u/YufIZVpcFC31NlkGmohldQOwpbmOKeTxpcfuebm4iptYFBqu30WwGgpihrAbbcLD137htaY+e0WSGWAWXKLTK5xDshlZUc6yOo6xfYubOQX4aKQzBO2wbG1BtqBgOG1SxhC56mHqNbubR9hxVexfStuBAWBP/7fA44ZDl83TkeXpZ7F02RkWBIjNEiBYB1zbYOrZ4JCYlSIlQ8cKZaE2Rp2RpSlmVOBeQPq43I/xXknjF3vltjHa88NIrnFztUzaOnVFJUvRRAbAtbVOx+fIWvmlZPrmGk9FnKJW4frELY9JCkXYyEqMRet6ZTGT3udbRlA1h6kgyjfQB74lCEIeyYY6OC/ggkULNm0EkbVuTpQVH8GGInrbbT7+Jxd4Sh+VtzLo5qyfPEGQXW1mCDRFm7GVc6s79iGJeKxYxH3Eq71WLMhW9ZU2nl5OlsYtbHq2zaSGFIPdomwM2X36RpmzpFgYpBbPWYqflfN2Zkqeaumyoi5REB7CC4ajCNtFnKkwBtkK5hFnZ0nqJ8iCd5/DSmPrZwE1mg6SfM9yT7H9tk+xMB4SPq0EfyJKWjQULsiU4h7NXOLxwkdnMkWcCkSYxzOMcQb4mufuaVeHRKvwIUOxsi28a2rqhkxfUVUmyuMjsYJ+l9TUGgwHeO1SiKauSzf1djDSUPrB488344SFNWeKKHJckOGWPQdOv5RoePRbnHK2L+CJvW1rrKNsZTkwp8j6ZiWSFxESR9Fox6F2LlFC3LXujA+r1fYrMoNKAMgJjcvIsJbjAZFzCtQEP3fIDdNMVti88j2iuYEyc+Cut0FLP4Q7z9g8JUoT5/TnKaoRJJSpJ0EbH10iS0roaEWpsA91+F+vl8fN6NKk78mhWVYUx5hgevbu7e9wX/NoWEaQk1A43HZNIR97pgEjQ0ymunHL1/GXSok9j2ziB/XNr+SMxc3BwgHcerSTLy4tcx7m/cWcymfDcc8+htebBBx/8OlD20eN63/vex5UrV/jUpz7F/fffj3OOd7/73YxGIx555BHuuusuvvSlL/GhD32Ir33ta9R1zcbGBh/5yEf40R/9UUIIPP7444QQuOeee44F5WvPpz/9aR599FGKouDjH/84t99+OwCdToef+Zmf4Z577uHMmTN475lMJvzUT/0Un/zkJ9nf36coCt7//vfz0Y9+lE6nw9bWFhcvXiRJEt72trdRVRVnz54lSRLe+ta3Hq+R/8W/+BdcuHAB7z1LS0v8+I//OL/wC78wxy/95Z5vicFv8iO1IBsohuMSZyznX9knUbEnVCuNlpJEa5IkhgWkVLi2RlATfEBJiVGCXGlG+9sMD3aom4YL5w7Z3u7S7yzRybpxupcEBLHBxDuNqR/kcO8sh8NXKZKAFw2oGi8MAY2Yl7BrnZBlBVDS1vPEKtAZ3Mz5V15kNTMM+j1GsxHbuzVGJ4gAPm1RykZshofGSiaVxVFzYmNAnsdUISiCg1IF9qslbrrrAyz0TzGaTAlqSLfTZ7L1NF/9o/+NevwCaVrTH+T00kCaJOgkIGUEJ3tnoxAVgkDC7mGF9QHrM4pigZXTb2HvC49R10O0D3FC0RhasYbUhyRaoQwkpkOmF/BS0NpZnE76GqOhk06p6hfoZN8J0tDUM2azMZUd0/iKyd45nv7yJxndfiuT3Wfwh8+xkMDe7A6kugNCh5kd4ywE32CVw7Tb3NBbICRTtJKkSsUWlGSA8AlSZFRlxWzaUuRdQMVgAwBRDCsVU4hNW8+f1/kn1fm61QvQJiXv9nl537L1R19BJimlV+g0ixcWHY3r1A2bF3ZIkpR0KacVAuaGf6kFaWHoLnRRaYpKoq8wiKPVsseZlkQb8iYlkxrhQvz7tgEXPMHHC2bsItZIEYWTlDr2bofrQiKuSzVKJSwurZHWGZU/5OWr52jKFm8FINEyIdMpxnTmna+x/eUovx9EA6ZEGocuHK2LF+zIOkzQ2iACiFBCLhAixXlPoxJc69g7GFMYjUpUXM3L2Gd7w4keVe2oqggkD1IhNcwGDVvjMWxeBTy7ZgJFQPsW5eIErRp7hDXIjiBJChAT2kbStIJGOZoW6jLQKzSdvMVLj/Ae6yXagk4SDkYNs/2WPG3pt808sa2Pmy+OglhxfeywtsU2LXVTM51NKKuS0LaoREcxuLvN0sKAIi8YDAaUTVz37h0eUmtYu/Emlk+eIOl3eenFF8nL6jhVDHPPatCvCxFEML7HOo+f339TN0yqCcJOScwgQtqloq5a6mYW2YRz836WGbROcW7KuGkhCwiVIIVAeXClpa4zBIK9y0OKqx0Gtw1I0hxjcoTPIqZISspqRts47FysJklClqUobdAOvHL4xEYPNxLhJXYKTnpsiHBvJRRpYgjKf50YOvr90Zq8aRomk8mxz+8ooHAkBuOfKTYHi2zOJpida0ifsBfArW8wLMdsXr1Erzs4XjkficAj/6HW6riebm11lTzP/lKmVGfPnqUsS5RS/Mqv/Ardbvf4a0mS8HM/93NIKXnqqadYXl7mxIkTAJw7d46XX36Z9fV11tbWePnll/nABz5A0zT8/M//PEtLS/z8z/88P/mTP8lDDz3ErbfeymOPPYYQgm/7tm/7ho/l93//9/He81f/6l/lzJkzr/Nm3n777fzDf/gPj5+jn/iJn+B3fud3+IEf+AH+xt/4G3z84x/nE5/4BPfeey8/+7M/y4svvshwOOSee+6h3+/zwgsvsL29Tbfb5U1vehNPPvkkf+/v/T1uu+22Y0H5sz/7s/zar/0a3/d938fb3/72N/y5/vPnW2Lwm/0IKPoZF6+V9DLH3l5LoYqj2Og8raeQypDnPZLEMJsOsW5ePSQFSIlWcO3gaf70iyNW1s9weA26xQp52iNJNSoVdIJB1hUAMwOlu0I3HaIzQy4F3bszyonFTivaoNAhQztP09TgR1jb4rzF+4Dzmpvf9D3s1yOuXfw8htjYMGk8l3em1DZl0FWkJnYLOC+o2wZUyw2n+3S6cf18VI/nneXKtQOeeani9NuWyUzGTJVYG5B+ygtf/rfIybMkoibJNVniSYxEJ3KeCO0AAeumCFkTvCQzniI17O5VGK3ZvPDf2d59iXZ2B4lcRCbghEEl38nF0a20PMWd2UUyYZF6Ad05iUDgq6u4tkRKh1AWEoMWGUWukInl5a3zBBoKAyoXnDpRsnPuoww3FSfXAr2s5ZaTEr//KPujnJk6SZIGjMpQ2kQRq+7i6kGPun6eu299lY6cYlQXXazihMYrqOwEryColBBaIJnDkaNRv6zqOIVoW5x7fVggzKHSHe1ZTirS1NB6QSUyZKJQRKO+VdHnp5Gk3nH5/Ca3dG4CJebpYYETAWkSdJYh55w5LedVggKClyg7p8IJy3g2pJpMqMoG6zyKiMfROpmniY98OFEMtG3zmjBChLBP6n12t7domgrTq1k70yEfaOqRY++CpBnmtK2lqocwHmISQ6foxseER6eBzrJncdWS5Vns/RVxQra1vcWgX3HDyVMkicG7lFBF6l3rDDuHFXv7MxYGHTp5wKSSREqEDAgCPkCRa6oKyrIhEEjSlM7tiktul4PRITpVlCsObQKq0SQiJp/1smJUjNgbZaTTCYduSlj31LrCVpK6DHhbsbywSGIgiJh8ls6CNIzHMzINWa5RRtLU9fVQwxz1cgQ8Dj52Jrdt9P2Vs5LpdAZCYXod0iKnrNroYfWxy9i2Ld5FASTTnHxtmWuTQ9Jpn6XlZZbX1hju7kfLwnwiGOaiU74maXwkBp132NrSVC3VbEozq+lmGQHF/nDMdDzFWRdbVJQCYjIeAXlRgNQxhGIhOMls2LI73QKvoq/aw6xu2bMln335j1ntruMn25zuFkwmUw4ODrCOKOTV0fo6LuR7vR4L/T6pTBFWEZxksj9luyyRXkeMFQ0hODq6T280wzfq9QEZrvsGh8PhsacvSaKNI9bETXDOMRgMoiA0GiM0nfse5MW6Zri/h1CCya230GycgqZkf2+bxORzf26c7rZty2QyOUYIHa2dT5zYmK8/Pa9t+HkjzhNPPHG89v7t3/7t133t5MmTfOQjH+Hzn/883ntuvvlmVldXCSHwla98BWstt912G4uLi/zUT/0U+/v7/LN/9s/46Z/+aQBeeeUV/tW/+ld87nOf4+TJk5w9e5YQwl8oBp955hlCCDz00EPz9w/xOkF49OsvfelL/O7v/i5nzpzhN3/zNzHG8La3vY27776bRx55hJ/+6Z/mscceAzi+r6effprZbMZ9991Hp9Ph/Pnz1HVN0zTUdc0HPvAB3v/+99Pv94+ngn/Z/sFvicFv+iNYXFnlufOB0M7YOFWgahDe4pEEedSjGXDeI73Hz6H883r12BwiJP3BCo4O+3stQRTM6opBr4dONGnjuPrpP2R09gnkHXdxw//6HrKBYrlQ6CJHSYUPgaZtmI48k60ZTQ2qFcCMVlbEDtYoNFxwyHyF937g53j8s7/IbP8pZDFh76Bh5jxXDkoOZoLczGu0JKyvF6ytdSg6Gp0kGNNDpwO8gLqacHiwx+Rgi8f/9D9xy53fRZJn3PmmdzPeeorDq4/TzQPTStDVBqND7MBNDEnaJzVLBKCp96nDITKZoS2kWuDagEpaVH2WyehVFnr3E+QCqNixGnyXtl1iq1ynvfQ49595ltw7vLfzKtOACBJo8EFSurt48wMfpLNwkvOvXkBrGHQWSU3OtJhh1FvYSF9lqdgikYEQNE1uWKxyRkGT5R2yTMf+WAwiOFpS2mbAzuwET7za54EzL7CRA1YgZSBJBUsbXZogcC207QRsSyYXcFLRNDImHZsG7xzWXveHRQO+xfiKM0t9bljpkRhFVTs2RxPGySJeJBH/4QQ+tAglCCajnpUc7OzTXe3HOsS9KeVh9CY1B3vIRJJ3UhbWFskGBUHMPZZCIoPi2vY1/MsNWggkag79jaBvgkCrhKLozIXh9XO0DrOuZe/wMuN6QqpyTOG46dsWWFvvk6QpTdPQX5xx6UlLKFOcT7G+wbYt+4d7JEZhCsXpG0+ytNonywsSnTAfnGJ9XOFNZmMuXD7H3Xfdg7cGb/rIMGNrt+Tq9oTl5YxBrjBZwOhAciR+BHgv459pj1IZ43FD3VQsrqT0vx3aRpIXHlcKDg49ea6QtDjhMT1Y+K6US09uwkyRn1Is3pNQVyXTCvYmNRvLBf2eiSEpb7CixsnAwchhnWfQ0xijqKRnUs5IfFzlR9+dPC7x8D6iY9q6oaoqRqMRWml6gz5ZNwZosrSLSVP2D4fkJqWyDc57xtOSwcY6ab8Ls5LLly5yS3Ird5y5g6+Nn+Tw8JAQAplzxyBqNa8xPE4ve0drG9oqMJuOmU6H9Ioeyo54/vlX6XUK+r0e3V5KkiikitPo4KC1LXVdMxoP6aiMnUPJgd7HdBTFIMOkGpFI8IHMGppu4LEr/wecU7zzxge5ttXHNQ15J6eTZRil4sYigHOetm1juGM4JlnMULXhcH9EogWdoofOAlJofDC4xtKMLZPJDNkkrwN5N03D4eEh3vvX+QKPpqRHK+W2bdnZ2WFtbY2VXqzkO33bbUxXVpns7iGEI2QpogHTBmbNhKaZzR9vFINH/355EdfOR1PHG06e4M8FmN+wcySafvRHf5QPfehDrxNAaZoyGAx4/PHHAbjvvvuOcTBf/vKXj4VdWZZ88YtfBGIyTRaS9gAAIABJREFU+Q//8A8BuHLlCkKIYzzP+fPnSdOUt771rd/wsVRVhRCChYWF1wU6nHNsbm6yvLxMnud85jOfwXvP/v4+73nPewCOGY9VFYcjR/7AIzH4WnEohOBd73oX999/P0888QQ/9EM/xGAw4Ad/8Af55//8n7OxsfHGPcH/D+dbYvCb/ARgYbXLTTd3yYwCAa71zMYts4MGWyd4G3CqoiyhrSStb7G+IXiH8J5gA60NjO0yC9030+1Gr9t02jAcTRkUHXYf/xL2c59nZdDhhvd9D8tv/jZm05upaku3exklBI5A2gaUjsnAyeYU2WhciG0L3ouItXGW1saKst7iLXzH9/wcLz39SdS5P8JkVylnQ3pFQidP0Hr+Bug9MpF4PELEN9ZEpsh8GaQhtZdYGfRJxZjLT/0+B6/8KXd+x/fgbruLZx/9TxgxnosbOfcH+gihCQopMmS6ACGg2umxSwwJqIAmoZnVmI2UMKlJspyg0lgvJTx4gdINrdxgv3yAc9emdE6fx8nNiE9ppzhfYr1kPLWMpwVZvk6eF2SFITWaNMvo9TrYUUNpeiid0s1BBUlAMmqX2SrfRlHcSJanpEkWL9QkgEcFjZKORiiGkwd45lJNv3MO/CZWKoK4gazbiQgVB21racuasj1EyIUICPYe5Dwp6mJfdXCWXHpuWu/hexXrSwWDXpcsTyjLiradEAK0qaRtYnBY+oBUHqEUiUyp9mcE7zjYnSFbgdHdCLmev/FWh5Yrh1t0FwpO3rwOmaYlBmtMEqeHUirUHIUSuC4OnLNMJocIKUgzA/gYUAqe2k4ZjfZxoaKT9HBYbF7SW1il08npd3ocllPapiFfcLRtgfYOFTSJaGmlpREj1tYWWV5dIO8UZCaL3sR5ot8Fh1YaJQWT6ZSLly5x8kSXPB0wnMx49fIOvZ6hm0kyEzBakegQwybiqOrN4WR73MHt2oTdkcf7Pku9JaQwVKSsbLyJb3/TOxnufpWXnvg9qBIKY+ktT1j9TkOwEpE4ZpSUUxgOG7q5ZmOlH7mVSexyVs5xOBoxnW1T5IbcgDaBmWsYHw7JCoFJUqSeA8SFABewwWLbBjspOZyMQWv6/T5ZkWFMGjutleamO+/gpWee5uK1TbomwynJ8ulTLG5sYF1LEcDbwObVa9x1913c/ZZ7eeGZZznY26fT65LmRazFU5ERCTHY4qyjbRrqyYzJeEjW7VD0BjRbl+h3CxYX+uRFRmZMfH7V3I/iI+IoNXGteqre4Mr2Vfw6dAYppqcwyVGjkIUG9GGHjhsQpGK6bcgKx8pCjyJLr4eFjkI23mHbiCCazSqG+xN0q5A9TbqQkKUKmQbUHJhuTQRRT2dTUl/EvnYX/247O9tIqeh2u6Rp+hpRPKfLBofzmlQZJrZib2eLQbfHwtIyrqmomj4sdnB2hvAzhJxBDD1TNzUBjW9bynqKbWqK7hKpUih93XO7cWJjbt99Y6aCRyLLWsuTTz4JwHve8x7e8pa3fN33eu/5yle+QgjhOHhhreULX/gCQggefPBBrLXMZjMAvu/7vu/r/IAPPfQQzz33HLPZjPvvv588z7+hL/FIhD3//POvS/Z+7Wtf43u/93vp9/t86lOfYjgcEkLggQce4Du+4zuOhePDDz/MbbfdhnOOp556Cq31sfA8ErQPPvggIQRWVlb49Kc/ze/93u/xG7/xG3zhC1/gox/9KMPhkN/+7d/+H5Iq/pYY/J/gKJ2xvn4KwgUEce3Q6SZMcs/wakndBEKTIb2nReJCTOF5FycDjbPM2kBSLJHlHfr97jxoMmJyOKQdH7L/5S/TayaU6QJu0I/8tDpBO0WWZ2gUDoeVAB7X9zRjS7kzI7Pxh9EfscNcS904rr74x7QHz7GwfhNvvu+H2Ni4lae+8EusLgY6uSRNxLxYPmAdVHXFwUGF0QNM4rE4TFuiQkXwDct5j43NHlzRJGmDWdvlfO+3ePWFP+L0osS2gcZ6fGgJPiUERQiO4GqaehRXdq6O75xBErzFx70lVWMZHrax4swoUAlaaJz04CIrUAI2rHJx/3Y2Vi6zEnYRBIKDOlQ0VuCt5NrmKzx79nEGy7fw0isvEoLAGIuXNU3dQGXJOpokLUiEpHGGKzu3g76J1PRIjEarAqUl0WZlcVYjsajgcUWP7cNb2dq7wg2DTZxQOL9OkmXRk+YFyli0ljSzmll9SG4CXhyBUQMuBIJrUfWEt7/tDN9+963MRge8/PKrJElGkXdpG4dRkCeQFH2m44rM1tR4hGhJBLRKMRyO0bOGNC0wRToXgnL+mogTEdfWTIczzj1/npvvvAmdKoKyyMTMU9FHUY4QU7LBz29rca6ltXEyI5TEC0/tSsbjMVJAmnYxKmfa7ONsFZPNBKyIwlH6+ZpaJ3ifIIMjCIWQLXmnx8pabGPITIoxCVonSBEnZtbb4+CLc55rW5sU+Qqnl9Z44dWXsT7QKdIIik4EiQadGLTOkMLM0UMtwgZEsLQIXOHI2xyR3MXSqb/CNPsOXnhmhh91uGxT3nTmbl5q76YqczQ7rCR/yo3FZ5BihptqqiZhPKsp8pz1k6vIxCOTHiY7SaIFTT1kPN1DiBg2OgJYu9azfXiVolNSFF0SE/EsQcybK5qa0LRkQeGmJQsnN8jyPHYLm8go1TrhllvOsLi4xJXLF8F61jY2WFxbj+iYVmICFKljPBmzs73FyVOnueut9/DqSy+zfeUqyXBIVhRIE1txAhCso61rmumUUFtUbqJgygzpYpeBSOkUOVmWYBI9pyfMA0Qh4FxcAwvAEXB9R76kyHNJYqLlRCeKEDTtXgdz6UZWzAaqr2hmM8pZTbbeiyB+rZFJ7EwnyOijVA6l4hR+KkpC5Sk6hjRXJEaTpBotUpxvEKolOMnBdIJKzPHadHt7mxACnU6HNE2vp4XnYjAIgXCxHUcISyGg8oKLl6/Q7S+yP024cDWhrAsCDQOzjUkcIUwRtmU6msQP4S7+zEkEs3pGECn9NN5XmhpWV5d5I8MjR0JnPB7zwgsvHCduv9Gp65pz584hhDgOb/zWb/0WTzzxBEqpY3F3+vRpLl++zPvf/34eeughtra2+MhHPsLdd9/NXXfdxX/9r/8VgAceeOAbCi0hBO95z3v4gz/4A/79v//3PPzww9x333289NJL/NiP/Ri7u7u8853v5JZbbuHOO+9ECMHJkyf58Ic/TAiBX//1X2dnZ4d3vvOdXLhwgZ2dHfr9PnfddRd1XXP27FnSNOXee+/l8ccf5z/8h//A6uoqH/7wh/mRH/kR/s2/+Tf8/b//9zl37twb8hz/fznfEoPf9CcgMHQ7NxG4GidRHupGImWLs4LR1YrQarSzICQ+zD9pO0vVWmoybrz927m8XYNo8V5FwDEBOR5x5Q8fYWFzi1wnDK/t8vIf/++UaheZb3PD2iGp6aLm/pmGENOzRpJ1NcPtEl9ppFDztolA0zrqqiSUZ5HbO1x7WiH7t1C3Nbme0e8qsjRglEDKeSGGF6SZZjYz7OxN0Uoh1YjgPCBp6zFXPjdk9VyfQb6Am1kO/q8X2d//KiapsSQEJLOZpbaC1oK2DitqZDMiuCa+4bZTrK2x1sWe4iZO0Qiaw2HD+okFdCKQicHoFC8crnEEHN4XpElDVeVc2fL4YgYqoKQCFXCNwwVH6wT/7b99EVO8xGQ65MabTmCDJSnBlWNS/wQrvRmdpA9Jl+nYsDW9GVX0YkBFabSBxGiM0vjgo09OWBwS5RK8GnD+Sh3ZeVimqiVJU4RUeBfhytEPFpi5mqoek8gOIqh5CjWa9WU5YXWxR6/bjWsxdZHpdEJja6qmZdw6TL9HIgWNsGArgp3hkFjia0iEhI7poTON0iamPIWcX6fDMVJDKEVVTXn1+YvcevfN0fYqFEabefhERm4cRyEDjwsapWJwRAhJ1c7wwXJwuINWCSbtxvCUNBiXsr875XBnTJJqqqbFNg2TvQZfFrEaTDcEFysdgwz0FnpkuYmeLRVDIlEQRqSEbI+me7HNQUrBta1r3Lg+YHNrSJapOWYJtGKepo6gaJ10CbS07TiiYmYNdsciySmUwKoRX316n4szSzI4Q6IzXrl8wNnnL9MZ3E/RM1jr2BzfyPTqDj3xKnnaIcsGLCzkpEayv28ZHVo6XcnpG1M6vYK2LSnLhkRrtI4hNCUVK4NFTtBjMi0RrcfNhaD38ee1k+csLy4xGk/RmcFkKXouApXWaD3vExaatZOn2Dh1Enwg+EDjPK21JHPXis0siU3Z2t7hxMlT6ERzw8YacjjmcHcXrCWIWOVoW0s1K0mUYnWxz8LyCbZdSZrnKCOptCMzhjSNQtCYOLmLK0YRhax0CCmp64btvS3kCWLqWEtEKknTjDztEmrB3uWUVbPGUn9AYgxjnTE93MaFEIWvSlDJHM1yDFa3MLc44DxNaEmzQKIl2iQUaZc0KWjsjMAUl0DT1jShmYOmR0wmE1ZWlo8xT0cBEa2P2nYEVgl6s0PUS8+R7E9oUsP22govvnSOnerN6PRmOv0c6zzDiabnRoT6kAaBbhsyrXBZTpAJxlosLXVbsrtbMugPuOGGO+av7ePPOG/YefLJJ2nbllOnTh0HQ/78UUpRFAUA/+gf/SNOnTp17CG85ZZbWF9fxxjDhz70IR599FH+5t/8m7zvfe/j0Ucf5cUXX+TDH/4wSqmvW9t+3VUzBD74wQ/ysY99jLNnz/Ld3/3drKyssLe3h3OOe++9l1//9V9Ha81f/+t/nV/+5V/mP//n/8zh4SFVVfHpT3+aO++8k3/wD/4Bn/3sZ5lOp9x9990sLi7y1FNPMRqNWF9f5+abb2Zvb49PfOITjMdjvvzlL3PjjTfyyCOPIITggx/84P8w1uC3xOA3+Ykvo4Q0PY0Pz6CFn9fFCZwX5APHaK+imrWYo1SoF/EN3lnGleTU7fczOHEz57f+hOm4A8Te2Gq2x+jC05x4+XnWel2Kbh+1t8P+04+SPSxZWNHkuUKpAiE6CKZIWSPF3PytJZW1VGUzT+dGzl3VOKwds7ge6CUC2Qaq8iWasiLpG4o0JTOglUYqHYWWswhnomHbCvb2JySpoNU1wgtefqZm52zLTXqZ5fU1RtMhaneKP5jRP62oKkteGGZlw2RsKDKHTAJKCDxTpKqAeVqy9bGnuA1MJ4Hg4wVfJ3EdqJVCJQndTgcXLGWYEVpNkDs4+wUWxJcQ1Q77oUUQAdHBAzJhe7JGMO9i/fSb0GlCMZly+coFdvcOKVJJIZ7mf7n3Mj0jSdIVZLHKZCdQhh49pVAqzNtmNKlRdIoOrQU7GyNbQcKMwj2N0o+RJ5c4HNUEAVXaYgZpXM0KEDKu9UMwpLlnVleEVhDfMqJotT4Q6imPf/VJ0kSwvX/AV59/gfV+jyw1DOvAxCckjUfbkuSZx+mdfRxhK4Yn72b31juZBo8SDpUmiCxBifTYA3V0nHPzMrmYICnLEVuXtlg5tTzv3U3mqBeBnK9zjkItMjgcCqFVDJMA02oEgDEZRqdRxClNV62QTJb52hfPcebeG+gu5MwOWmZbCX1uQEqDwxFkFJwSS5JGDmOstlNoqTDGUBQ5zllms3oODb7e5zsa73Npc5/xpGZ5mTl/TiKERgqDUgU6GdDtLmNdTSBQX4LNT1Xog4xWW+qbGsKbA9vDAtFbotsrKIou5dURQnQpdMby4oBxWdHUG9STt3ByIWFxITYJKZUQUd1xCzCatjzz7IybTluKtKZ1liwVKBHiClIobN3QRbC6skyiDUJK3NyjVukE17bIquFgeEi6voZKos9MzOHcUkqUFKhEor1j+9WLHOzvoxLN8voGpt9FoUAopE4wKqOejJjNxtTDEVeee57MB25cWopVYCKuDdu2pdQKa1sGWUrVlJBqZGIQWmKVRxvQSUzVzmb1PIkbu4NTY8iLHKkS6tYzacegXXx+lCCzfRbqWxgkK1R+h/1yFj2BR73qs8gnbL2ishmtM8yG+7hmghSQmYwsz9HaRAaiDKADQs4Fo5QkOiPVOR6LlDUej7Oe2jd4a9nf27sOkVbXU8Kxki/yP6WApG7h7Nc4ee5F+kJRhgCjMS/WPfxyTp53WFwZMB1XNM1JRqPnyH3Fum0ZXHqVpG1pN9aZnb6JpptjrCFzULU1w+GQNDVvuAiEKL6GwyHvfe97jxO33+gYY/ilX/ol/vE//sdMJhOWl5f5L//lv/DLv/zL3HfffXS7XUII/OAP/iCf/OQn+dVf/VUeffRR1tfX+Sf/5J/wwQ9+EGsty8vLPPzww7zjHe/4CyeDy8vLPPLII/ziL/7isaA7c+YMf+2v/TX+zt/5O8dJ59XVVR555BF+4Rd+gcceewytNT/5kz/Jz/zMzzAYDJhOp7z3ve/l4YcfJoTAwcEB3/md38m9995Lt9ul2+3y+c9/nn/5L/8lTz31FJcuXeLWW2/lIx/5CH/rb/2tN/7J/gvOt8TgN/2J4FOtVwlhDSlKhJpGwK8S6KRBmcCormjQcbISBK2zlK1HdU6TL95IKy5x7/1jnj/7FNtb60ihWewfkuvNiKEJA4Kar+m8w5gKJTQu5Ghfg5TgW1xwuBATkt7D/nBMuVOjpCQES1l7sq7jr7zjBgbMCPuHkFh0o0FpxmWF8Dk60RjTRc6Tr96WhLYmmBabCUZjx2xiSTLH7p7jmVdHFKJD5T17eQd36kYq/0Xy3iHdxS6Xru6TpQYtAtc2a4rMgPQE5zCJQEkHBKz3tFZQVYHp2DHcn5Dq2BJAE7C1R6QKKUR8sw8x3eLcFfz+J1hMv0p/xdIxHqUCIii809RtYDzztH6F3sIdYFYRGgb9VVZXVphMpjRtRaoqEjEm2JJgFT5IhuMZwalY6cdcqockpsSlBOUQQZL4IaH8A5bVZ1hanpEYSSJTnIS9iWe6P6a/tkYrPY0lTm1UQJsWlXim04NYv2YCJo9sSrW0wEvliFc+91lcC9Wo5uJBQ5F1SDtLpIMV1MTTufQ8Jz7zf3LGObz2XNvfpXQNBzfcitKgEoOQmkRqVBKFlRAxdWqlnL+Koz80tRm713YZrAxIRIqWCmRsH4l5ZDH3DUpCkHNItIg4SQI+OOq2JlEGLfW8hlFipOGWE/ewtf8qLz66jUphuXua1f7NaJkQhEe5FC9j64UkTk6vg8uJLShCIGX8UHVUBSRETFM7Z2mblnPn9/EhQ1DFsFaIjxnmKcXXJKBVpbn26JDuXo+l7gK+abl87oDJqsA1U5xvaGtHHaaE1lK5kspXHIwTbFsj7JTFBcHa6hJFKufhCYnC45FYZ7BJQtNozl3YZ6E3xh2lyObFdwCp1vQHPVLTQevoaQwBrHMYk1DNpnEy0jZ0dYKRc6zJnEMphaCpKnYuXeTw8lVS58izDNtUnH/mGUKW0l1apRh0SITDqRYlPdfOX6C8eo2+1hTdDKMTZKKPvaGttZjUMJlM2Nvfx+YdVHcJLSRKKIxMAMX+wSHj0QSBwCSxCjMAw1H0CxuT4oKgdTFEZUODtinZaJm3rL2XxWyV5w/+jDZ9jGo8ZaIPKcuUalbS2JrWrtJbOEOaFYxePcusPETSMBqNsRZMnrA46GGUQVjwTuI8KOeo2hnBQ+tiW1Pw0LYN03ZCXZbUVUW305lXN17nDWqtMcaQpgYUuOku6uIVTqqM3voG0+EB08M9LqxNqFqLbT3j2ZS2DQTbEIKl5x2rz5/ljumMVAq2d3fYbC2Te9+KlwbpIFUSqSQnT37jid3/n3Pkx/v+7/9+vv/7v///9fvf9a538Sd/8id478my2Arzvve97/jrRx8GjxK5TdMcT1IhQqv/43/8j1/HyfxGj2l9fZ1f+ZVfoa7r+WvEHKe2X3tOnz7NRz/60ePQyWt9ij/8wz/MD//wDx///t3vfjfvfve7X3f7N7/5zXzsYx+jruvjTug/35X8l32+JQb/pzgBIbqE0AdaIhgudlCK+cVxOK7QIX7qcz5+EsR0eMeD383aybuZjDI2lndYXih56ms1beVZ3TBcOTTsDQTZaIopZ4y9RdyxjJ0LCtE6ZKiQusY5T2NrGmdp2paqrGnalsNJRWijX0dqzYlbM7JlQTJeIElHWDtBiJYsaMrWMx1XDBbX0aaPSQdYX+OqfZyvcVKQaItUMJy0FEGxtdvSYpmdbrgwK3jv3/7bJKdPob96M4eX/h2pmbCwkDIelnSKnM2tkitXZqwHg+vY6OWKBiBsgLoJTEc1zdSz3O+SJQFJivWe0f4Im3u8aphOpng8bTVkuPU7bBRPsNizdFJNqiVog8Rjg0RZh07AyUvs26fBnEboeBFLU0lW9GjaFjsxvPDFi+wdPkshpizfP6FOE2jHkWkY0rj2CiV1Y2IrBy3ClrjpZyjkn7DaLePUxwQMCi8EZqrYvHANR8Li2hJOSbyLtShSSVQC6Ia00KRFhk5TlBQEKUH0Yg1g2yDyjKYKtKqDMgXBtmjfEM4/zaqd0Vu+AZmBu7rN4OorXFw9he4VKJkihSJRCp0YTKKOTeWijY00LgSEipM4GQQHW4ck1fL1SaKQiPn+KlaYebyH629zMR+faIN1luA9SkqkiMJZSMhVl1s37sXhkFpitEGh55NQd1wPGPDIoLBNifNujkPyOB+5b2HudbStxXtPVVUMh0MIsLS0ihYbLC3eiHOvRAvqEZ4ntHhf0TRjJgDBUlcV9b5jQWrS5WXcaERxMEWJgoXONS6Nn2YWFKVOsO0WcvxVKj3F1qsEa0ma5zh5akIn0+RzyLyUeo5qcTgBrRQIJbBhkb1hS9soCuNiV3WIa24pAnmaRmSTUFRVxWQypW5afPCRS5pokpCCUlEYQ7SmOMfu3i4He3vMhiNEVbO6ukKn14kTOj/icFbRdmuGL15BX7iAm5TowYCDhQFLRY+8yNF5QqIMCkVZVYzHk1gFOA+RBS8p25a+EKgAMkgSq7i8vYXRcVKeZSYK4iMszjw9W9Utk8mUBb3A4eiQpgmoStDuCYr1buSbKkF2Ysr5gxdZPtwgo08zG5OYmv3DQ25NMtApSZrT7w8QoiI4T9N4ZmXJtWu70JPIUmAbj209QjUAtKLBhzbidlrFaDhElDPK2ew4yfvaVpAjQZgkCZ1OByUVE30Q/z1dTB473+JFwOiWyeQ5RJLRtIt4V9NOXqKblnS3xtwwHbHYX6boF4TNLUbXdhD3BGaJxCkHTqO15NSpG+Y/S2/ceFCI19ewHeGe/qJrGYBJzXHl6td9x2turJSiyItjy4mYP+7AXywErz+O66IwTdPXJde/4W0Qx+L06/5f4ejRX99cHH1ofe33Hd3++D7+B62I4Vti8H+OIwRQEEKO9yOcr7EuGtqdDYymlotXdkh8Mve1CKyybNzWJesukWYp5azPdFLw3DOBul0lSw1bV2umqqJ6MOG5p4eYpoGNZdbP9JhUNSrVQE0wAWE9wcVao7p2TGeWvYMJg+WU0ycXkNOCTEiS1GC7Y0QQJNmApHMSqi2cO0QrR6IFs6lFiASpc5JshWCn+GaGkCoChGVkJw4nNbWNEOzbbsyxNxlmboXkltMUi0ss3HYH29sFzg/ZWM0JQVAdWAqTcG2zZFo1rC3ndHuSRCmC8LQt1KUlCZ7FriFPBYmcIwe8oGxTNn2DrRu89TgB480/ZUF9lX4RKDIV05mJQUk9F98erQJKBhb9lHb4BLW6H53cjBWxn1hYEDKQvjrCfOkchdco4Pyzl6nfVeCSa7Tt7WjbYhXQJOBbgrBYIRDNZXT7ORYHY4pckSYClSRIGRlWWWbIVIdrr+5G31Mvrl6R8w5nJcm6KXkvR6cGqa8/fiB2sCYJwlikrqkmE0QjSXSBDR5aT+MFZTlBtY7KO0qpccGyWHRQyhIkCJlhtKZX5GglmZQlLgC2OZ4wCaVIRMr+xT2WwgCpNFoIkIogYm1gZN4JvIj/ubm3VIWAVimJarCuja+Z+ZpWEqdYMlHIrEF0pgTj8HWKrnrI2mDxYAEs3iVU0xF1U5FmDcrGNSge2raNgQjrmM0m7O3vkpiEPO+TaEdoUwaLGxwe7NDaSaxR9AHpHKKtIAzxbQlEf6Zesox2avTmFYJ1HKYV/RW4XV+juvhbzIZfw2GQzSusumdo9k9j9Y10tOHOE4GFTiBJFImJq2ylkzms3WGdRdhAQOJNStssMp32aNtDWgfCtyRWEFKPSRKs82zt7FBWVUy0aoUSGu8cnkDXGUTb4PF4wLc1dlxystdlxSQ8OxrNRb2cX2TtfJ2sWEoUB3/8R/TPPksiBBMp0e94B8W3v4MkTchVgguwub1JOW/g0IkCFM5FJqZ2LdQNru/xCNpRQ0cKBv2Y9o2eziNxxbzP2GOMJdGSM/4U+1u7zPbHtLrhavkSX3jxv7O6uM4FnsIO9nBvsrz88mXMtZzbeie5cX2D/5u9N4+17LrrPT9r2nuf6Z4731ujXeXYVbbjJDaOSRQC9AP6WbxOAk3EE/BHt1D/QZACf9AMAgkBLVCQGsKQECZFjQQkETx1HsEMgYQpCWDHDo6Hiudylatu3fmeee+9pv5j7XurnDh6yeu4/+iwSlV17z3n7LPPufus9V2/33eYzA546sLDdNodot1nqa9AtAnekxlPZiTT6ZT93Slm3GbYPUDpdGEGB1bM8FGAjbhScmx9jcHGlOFggFKpCiviYcW2+dgdiu5coi/4TofJzTdz9cIXWLi2wVQItlbWqDttwt7n2Zltk2XHIA5ZKiryOYWPgeAkLtTY2iQhnxCo3KCEQvjUtZnr91iY73MdCH7tRSQ3LlnXa9IvuwUhmlvE4U/+W+fRAM3Dr8UNX3/Rsb/kcYfPcWRQf8NrPwJsh5jtOth8hdM+PPuXH++V7n8DHzPeABe/7LG/RuPfweD/78fhpaQIoU9d1YRgm6zJxNdrteD46TbDzUi/M0er2+KFjRcpq22eePzbXSqrAAAgAElEQVQTnDh+jqy1xaUXDphOjjG/uEQrN5TTZFDauuUE7fM9pAxkWYuZvcS1jWcRosQ7TW1AqmQWWzvPdBLY3qzY3hpz27l1tNeMrgWwkto56pmjqiUiyzCmg69N8+HQKAGlK3Heod2MerZP8DOCr4gpPa9Rw0lGgwpbeRbnMzotASLn0aee4rkLn2Bl7Sxbl/8WIYeMy4hSNcfWW/S6lo3tGnvNMtzzjA5GZLlpwucDEsdKN2NtKaPdEinXWUqkkMkbUbWwdU2QHq8rrBszPvhXTh5z5Dmp5Ww0Juugddqxalei7DgtCpmkm29i3ROY/nm0yIgePIEqwviZJzjuPItraxgB7tomg4sjxKknqaa3o4xK/LNYEkNGkElVG8ePspJv08obI22j0aaN1gWgMHkLk7XIYmDj0iYnbj2eUjpiitDCS7TIyGQLLTNUppuov6b6E5JyVkqV2qcxMhsNiUEiyfHHz/K555/ED6ZE6biYdbm0dIJ7bjvNfa+/nZ3RmM9e3MEl+lWK9DIKUSXvj8Np8MbpUOuMTOYor9BKIJRJ4DXEJqYwJKEBQAhIKQkh8de0MpRullpFKASa2GQx+2JM6/gO3VWB1oJyVlFdmaAPjhOiIKikJhfCUJeG4f6EPMtJrETRpEYoIuB8xebWFq1WQafTITM5RnvqqGjlLUZyjkk1IssjqjYoAjAjUCGFBgQhCubuMVwZ7XCwNUGsetwpR82jKGped5Ok9hepykg5HQGetphSbz2Hmi6yMHczvbiEUQKlBNpojMmQKqWIUNdEakwEq1PqjhBzDKsBpgClIl4pHJ5yPObqxh6dTod+v09+2M6SjRDDeYqy5mA8g9YUrxRXNja468xZzp8+w7ScsbG5ydUXL1FOpwhSRXVWzsjaLezmBu0nnuJ4u03R7XCwv82lJ55A33sPWatPdIKrV64glWBhfh5jDFKpI5/UulOTzUpGuwfYVguTGzp5Qd8EWq2cIs8wJmvAYAMsQtqQycbYfBHJbe4cFza+QK0mqKUZn59+guJAkPUlbhqwrmau3abXzTm1vsDCXMb6apvRbB/cgLWlPqYBej5I3GGCioAqCtbG65RXKqbKkVtHlnmQAhcFsbLUw0jRajOSyafuUFEcQqrAHoLAwyi6GCMmCpz1iLtfz4t5xpWdfcpOQXn8ONZFTqzOcTDdw5fbRG3J2gso3SceW+e5y88hhyOK4YRNZQi3nYPuAlld4WNFVJGTJ068SmKGLz6meMWfHo0ojsBXMha9EZy+/Dg3wsAbD/jKx45f5rvDst7LjxO/Ju/FIZC94bmv49zr78TXPvnvS8a/g8Gvk5H2WGtMZhZ8RW0D02lgOp1x4qYeS4tddi978tBhMKyQCBYXNTv7n0DweV5zbo2NbUevc5LcGNrtBWq/gzBtMlGwtDCP0gKHoOXvYDjVvHTpaRaWStrtGi0lPkRmpWNvb8LGlRErK136nR4Xv7DLeMejvQEk3tT0Fg2zzhBZ7hHqKi00OIKPCBFxfkZdBYKtELHG+RnOp1ae85G6DhStjPm+ottVtI1Ea8FtN4157LP/B+1skdPHHfPzFeM9GJaeXqzoFYLeyR6L/ZwLFweUdcSIwPrqCU6efi27W18gD5dp51AY0VQmOggU3pcEBPVkQlAzpIuMh1tk4iqZSRxNKQVKZRjTI2stE4XCl7sQLNpbpIrk2qLKF2m1FVoVlKVgFqaIUnNQ7hGDoypn+KioREBnNaeXX+Lq5CGm6puIRPKYoVQFUqHCDFk9S9HyaJlsUpTKUpu9WCSikcMu0hi0F0xnJcPdEb1+GzuyDHaHlOMZ0QumB3tIrWn1cuaX52n32yBTBJz2qYqoEURfYauKcjpCixrRX+C5e97EpcuXkMpRLq8g+ou85Y3nue3mmxiPp2zslVwclFirGE9mSCmoapfSTpoFkMN2aohok6NJ8W3apKxlpCD6gKsljtQKTopliRBpwZdBHSVaWGfJjSAon6p6osa2rnFi3rBgMmS3zUELgt3j2YsXiMMMJTOMTtwhJQp2N3YpipR046NL1iIyVXJG4yFKS1qtFnmWJ8GKdrhKopQB0WV/FMgzh07vHDEKgo8gfGOD54nzkYW3GravjckWNb1OwBgw0iAIeGZYD7YSlGOBfEyxdrmFiTB5/lmsh+K168mPURuyPCWC1FV5BJ6d8Cl+TUmibDMYQCer0EpDqJntDbgyusjC4jrdbpeiKMiMOWpfBjzBeZSUKAF7u7vsjwfsHOyz359nsjZmUFXMra6ysz/gyt4+3VmJCx605uabTrH34MMUzuFlTlQZoAje0Zuf4+Stt1HNasaTpAgvsvyowhebVrb2KnEFQ8ne1Q0qVzEffbKYyQzGaDIj0+NUEsKF4FFNdFxKO3Qc76+wsnoz9XLkwcv/gFV7lM4w3avRVnOicxd33/5mrrnH6XV6FFlBK8uY63UxWmFUsjsKMaBCSoMRQIgtOkXkVHeVM2t3stuZ8oWNf2Gk90Al/nBuC26eO8+2M0iZeGMJ9FUNIEzA8MY4Puc9YwnSRpxo4W+/E1tXOOuZlSX1ZHjEAA2hThsglWOEhvk+7s1v4sKzl9Guon/HOeZfezc2SsbBMfMavOfkqZMv89v72o3wRd8fgqMvrt8dgrGISJ4BDRA8tAh6pTri4bhexfvywEp8MSa74Yv4JY8RxFdoVX/JnV65ABlv/IbDUugrHKKJfhDwtfJ1/HLj38EgfAkH4MaL/cbbbnQh/0qP+ZV+cL7a+3/lQxxdtEYvM5kV2GpAVVXMphXHTiyRZQrqgLV7DHf3qapAoTLa2nD+/AIL/TYhTLH1lEqVzCbT5MlXz3BlzeL8AnmrQDc5pT54jLmD8WSBa5eexfpNlB7iQ810NqGuPMfW5+kXc1z4110MBXNtTdbENjhyRltTxv0dpN8E63Au4pyltBHTTvmyEYejROJwIVC7QFkHZlWkKms67YJ2W9AqoFAKoxVnb8o5cRzwFhEcMyuIcxkHuxW+FORZJFJibcWZ9TaZASkjXu4y3HkMbElRGLQGpTOyrIdpLSOVwZYHuGCZTmZ4OUIpxeBgi7WsaviZEhlTO1IIjTYFyIxgx0ShUklMOoQEwohMQpZJykoQpQD5Er1zI4ZqiXrfoYbbTNoHnLg3Ry5De/goz27DxN6La/dRJkeIDM0BLT9CSYHAkzKhFUJmyLxDIEPKpA4VSqAwjHfGTAdjxnuTJpO3n6qBSEKM2IHl6sEmrbmcU7ecQBeKWkRCgBgU0miy3DAdTrB1icwk8uZ1zNljyeNNaaStubJ7ldXlFYb7B+zvD3BRU9cpheYoUcGFptrrUivSJY5Xu99H1hqtFFmuKdoFUktsZSkbSw4pJaLJIRbN50uQaATJ1NoBER0EBhjbAeHqk4yffA4/HCJOrFG88ZvQRQuFpfQa52ZMyxExOpRso3LJC89ssHKiZGGxT5bpI4AyHo+Z680lFag0GG3Ic8VoGkEEVLHM8bX/wOTgMeJsh3aM5F5ipELKQMQTA5QW9mdjuqs5rW4Sc+RSIXUgSIhBEnzEaw07BfKljLXWEp3OHMP9Ta48fpXubatQJJNyJTVaZVhZv6yFJZr/leqyfOo+pNpjMPkCPnNMmSWLlVaLIs/JjEmbIZWAtSPgVPJVDCIi6oq6rFldW+OpFy+yvbdHf3WV/toat997Lwfb20wGQ1qdDgtrK6hWQefMGa4u9Gnv7zIcTxgExfA1pwidPq1WByENrU6Bryuy7Hr+LiTApFzTdvWQjWvK8YRsKccYj1YKrZvcXpOiKoWUROdwriaSqDO5MrQKS25a3HH2m3n9TW9lY/gco+kuKtOsdc5yrHOC/c0rDPNnMZlCZgppJEYfVt1Ncw2k6DiwaQOjHYXStDsFmepz77m38eaz38aVgxeZ1Ptkus16/zSLrXV+71P/V1K5d7vMZjOm0ymdTheldUOFuYHX5lwjqEk2W8FFXCB1WqoaJwLCBjSR0lcUoYWOTda3lMjlY2Trp8lyQ9GbR7XaxGoKiSlCZjTra6uvjpIY+UWAKaa58MYfHrbHG9AURRMleCOAalrLNzZUb4ST8eg4r9xwPRSBHT7mxvu8Ek1QEJvqYHMeifz4ssreDSfxcgx6Qxv4i++XbmiAn2ggfEzP92razHxdg8FDALa5ucmnP/1pANrtNt/xHd9x5BO2u7vLP/7jPx4pj97+9rd/VSqfuq7Jsuy/fcfmPD7zmc8wNzfHt33bt30Nf/GHV2cHWx/j6pXnyYzk1luP0y5ynn96hxcu7FGPMozIaBeC4+uG6cGIahQpM0+ea/rdKTu7TxNwZKpD5UpyY5ifK8gzk+KdIqigEQ66rZPIuMTu/iV2D/4ZqQf0+i1uv/0MsYxcfWpIV80lB35NavWRokJtCFTDikpNiSFirWdaSqbWspi1qWqL9zL5d8WAD4LaBaZlZHAQ8F5QFJLCKDIlkrGr7iBNQWEizo2oa08eDHXmUIVmalcYlxOE3aPXlsz3JJmiSX4QzNwO+5MpQrSJslk4pUFnXZRpEVyJELCzczVl7WrJcHTAYt+kCTqKZrL2eF9SlwcgFM5O8CF5LEafkj58zJnNPDNb4m0N1SUYPcCd3/4dnPr+t7D3hQu89NDvc/pMxdyZiA2W02ZMZh7hhStb7G3fQ8yOYVSGZEDIIq4RAyRzb4f3U+xsHzDgumn+lRElJeP9CVJFirx3lBwhmjYXEWLIyZyjGs148alLnL7tJDrXeGWRQSBUhtAOoS2oSKfXQbc00iSFZ5AS6Qo+feEZnr68xcH4gIORJu+ugo7IkKamxP3zKabQuaTGtRU+BPKilcy8lURpSVZk6Cy1DG3p0udHAv7GpeE65InIFPNFMqouXcl47zKr1z7H8XhAO8+oLlzg2t6I2bf+J4gFRd5qqlARH+rG484TSsd4fIWtuV36C12yPCkOi1aOVLLJ+U7cS5Wp5poNrB6/nW/9T/8rG5cf5l/+7n3sjy/TymoybVOlEolzkdG4whQZeVvRygJGp5avVLpJPQwpBURCESTBkaqAWYYUBurEYQ1NfnBdTQjBYV1FcC6JYGIgxIgPkU7vGN/yjv8NLSP//Pf/J/tXP4cwOa25FlmjzEy2JikXV0mJ9D61yUNEBY+NgaLdpjM3z9LKCkZp2r05TJYjlGLt5puT8r35fEXv6J+5ib3/+bv5wt99EjmZUq8fo3jTfTz2/AuoTDMbTbjy0mVuOnniSEl7mN1qbRKK6eBRWUBmhqLdJpMWJUKqejYKZ6UNpihAKkJdNVnHPrWOVeIUjmZDYh1YKlZZXF5JLW0R02YiCgbDPYwCo5I9jJBp4yi1QGU5ymRE74gkgYtUHul1sn8ymslogPKBpfwYy2urCRYcFb80w+kQ5x0rK6uMxyP29vaYTicNGLwePxeaqqY4vC4JOBdwtsZWyRLr1PEThKZKOLMeGx0hprkzCa1kMzdFqsri4xDhLJVPldK5uR5z/TlejX7l6OCAweAArWXjD3roHBDJs4zgHVIKwBMjmDwnKzpok0MMVI3Ipt1uo7VhNBo24O3l/ErnD6ki4eXcvcPl8VCYczhbiOu8wNicT2hEZ0Imj1OTZdR1iQ+pWwFgtPyStfv6+XzxeHnecXPvo69CFEhpWF07xquCxG8YX9dg8PAX9tGPfpR3vetdQJKIP/nkk3S7XYQQvPe97+WXfumXOHQ8f9vb3vYVHTvGyF/91V/x4IMP8nM/93Nf9j43XjR/9md/xg/90A/x9re//Sjj8GszmlJzVCiOMRmX3P1Nd9NtCz73qUs8/4UDWlnBfCdrOGeCSM7UaTYvDxEy0utrzt7SZjy7xPaGoNs+xsriOuurC+Qmx5hEzI6Ipmrn8aHG5IJ2e57W3K3ccdcxllbbDHcd//Lx5+jqNp1cYHKF1CoR+EntHhUgWMPEpgzfsorsjSMlUNQBMQZtmsmbiPeSaeUYThzXNkuWljspzUGJVIXSObqYx+SLRF8TqoiMFcp5jFKYTHDy/Hdw8NKzlFsP0W9Dliu0FkghIHqM1YwwSZgQkgrb+5q6nCDrGlfPCHFGNX6K3aklSgWxYmja1PYAZ8FqhfI11GN8SP6K3jmcK9Nu3kbqOiOKY8xmDidnCD/BD/6ZjA1WT7+FpeN3kC+0KNbupIifQQZQAYyInBADMlny0FM1l6/ehRA5gppZX3DLsqTjAtYHpKugHhJdBVHj3VJaTERIQgsUeV5g8hbqMP9UNoKSRqkrbWqHzsoRl565wpnbb0II1+xmBQKFzhS6m5PnOTIrCEZggk7HySKYgp2ypCwKQrBMym3axTLSpwU+qVQ9wacKi61LynJGViThwuHnyIeUa41I4DHE1EaKR/9+MQcoJsPkGBExUNsx24NtstEmc8rS/YY30Z7rIx/8V4qNXa4+NkKHW5CqsZGJghBylCpRrqayAWsDe5tjLr1wBWSk3cq5/a5bG8ubQ5fDhKa9g9oajq8ex3QWOH3uP7K6fhtPPfoxnn/mU+zsPkP0E0IQuDpSFILFTNFRAm0ERulkbqxyJJpIhRM1UXpa65GN/oxiMGI6mTLynvpEF5RMLVlnESEmbmtMApK0OQg4F7HO011epTt/nCzv8u3veA+Xn/kHLnz+AqExBU/ASqKVpmglgDibzZJCWyikUJQh0C6KlO/dajVt3axpRauUSiIVApHspmwktgrO/If/yMFrX0c5HqGygtLVvHDhCzzwf38UIwS33HYOKSRKKjJjUpyYlEwmE5w/XKwlpYR2nqNUOFroE5ZJ4FyZnKg00bsbFLqpKCOA6ALOVxjZQxCIzfwkYvqM2LpKFlKoFFt56JEoFEJpZJYTnEBY25hCN1efdCDS9eyCJxMQSQbYIl6/XgejAzqtFDvX7XXxITAYDJFKpfvEiFKKcOTLqRKloInmm9Ul5XTG0soyWhuq6AkyoAnUtsa6gAse5QUITxCCSlnEbIKtBQ6wDvCe4yeOpVSdL2np/r9fm/7qL/8rD/zZf8HaMlX3IhR5Tgie/vw84/EQZy1CQFEUnL3lFu6+760cP3kTwVoef+Qh/uGTf0V/bo52p8vmtY0E7qVorjUNUuJsskBKHSaHdUlseJg8Q7P20ABS2dAGopQ4l7iZnU6HdqsgyzSnjp/mjfe9kQceeIC9/T0GwyHO1sz3OnQ7bbSUjQDksJ0tjjLRIe3fIpHgYzPPJUAZY8Q3dljWR5ZWTvCrv/7bzTXy6rWKv67BIKSF5DA0utPp4Jyjqio6nQ6bm5v83u/9HkVRUFUV99xzT6PqeiWE//Lxsz/7s7znPe/hF3/xF79sG/qw7Xw4HnroIQ7Dtg/P7ZXGf1/FMMU23XTTnaytv5lWYXn8sy/w7ON79NtzFC1JrjVKC5ACGQUtoxnZyMbzI0bLhvZcxtmbF7nsuywvnaDX7WC0Ti0nkwLNQTCZepwzjbm0RoqcKDL6PY0ra557fAPjW+RFgc40RiuEURihEYjGpd8zm1iGU4urBePSc3U4w3SW6KuzbI2uoNSUTCjwNaXzjEc1ygiiEEhFEhCkfXwSVUiNznoEN0PVOTJmIBxRBqSArZceodq5wkIrkOXyiGMkZQ7eI9SUIAOl9XScwElPXQ9TXJhQeFfjnOXM2g57l1fxdTLo3hmtMJxsUWQWIwVCOFyMKD9NO1SvscFROc/MBoblInVxnmo2Q8SIi9fI60cxYpeN5/8Vo7uMdp6gxQGtfIEYKpSVVNFioqfrHTev7jOLkrHrYmLEhVvZHV6ik03QKvFrfCxRsiKiqNyU1G/0hJiMq3WeclaVOUzxUEfXbKqoObyIZLQoJxN2NnbprnYhkMyfY4CgKeigVQIFSqWW2lF+sPEIIylsjhBTZnHCrByQybmGBhRSdrbzWFtSTSbY2tFfWCGiCBG887gqMoslKEmwFm9Dw6+KL7ODCDHVAQ/rgVJCaaccDLaRxlBlBb3/8bt5zX9+GzjHs2XJ6FOPou0ahSnwKoGBEAJRGmQUKKmTCtklK5zlheN458gyg3dpsvfO47XHeU9dp+g0T+DUTbdD1CAErf5ZXv8t7+Z1b/lfeOQzH+cTf/mHSCqk36TfT/nAwsTE+1QZmWmjsi5SZgQ/BTvGuxnZYmDxrRlXP3uNemSYduY5cddxZsKRuUCMniCT2CeGmKrSPlDbQO1qZpXl1tN3kOctIh6dLXPzne9AtV7Pow//28t7ZiLB/hvBDoD1Hg9IpZIR+yHYkgKpFFopjNJHlh3WWuoYkCGgdKS3vExrrkdVVVQjz/z8PKPBkJPrK6yuLB218iKHrf8bRQSpAu5EAquemKrh8cbMao+rSqSQRGubhTik6nxIYCB1UFOqTUKITVWseT6FwTd/YvSEqAiHyTy2TrF2zXP54PE0VTgvEg1M0Nib3KBCbapUMUK31cNkGVmeo7XmzNmzXLx4kf39fZy1uHa7ySfWDZCVR6+tqiqm0wmdToduJ9n3EAAPSmtiLSjLCUWRxDROWggRVSsqVSPc9c+5955TJ082hakbwcjXplLVKdrcevYWvvD040RIMYHBYZRiNp2glWY2KRmOxggxYHVtjRgcQgakjphcQqwYj/eYTAZoQvKIjU0VN0SyrM368hLDg11Qkl6rTe0CuwdDfBB0Ox06RYYgNOlSKVhgPCsTF1VpirxgOhkzHQ+RUrCzvcPjTz6OtTVCSPpzPZQyXLm6QeU8ndykpC6hIUbkUVs5db+8j82cmt7XxIRMf5wLWOtx3pLnres7lFdxfN2Dwbqu+fznP0+32+X8+fNcvHiRqqoA+MAHPnCUQfipT33qCKQJIXj22Wf5i7/4C1566SXOnDnD93zP97CysgLAn/zJn/DhD3+YEAJbW1s8+eST3HHHHVy5coU///M/54UXXqDX63H//fdzzz33HJX7H374YYQQ3HfffQCUZclf//Vf88gjj1DXNefPn+cd73gHCwsLX8UrvKGsLyJazyHqOTauXODJRzbptrrkhSAzikynIHKpSIbDUdDTPXCKg719ZqVDqkCrM0KKA4g5UKRqEpEQk3dhDPE654Fk1mytYDypCHVk59qUtllCGZ3awzrFkGWmQAhB7WeUoWK3mrF9taTdipw+s8D+cwkcLh17K8fP3s3OS4/y6EMfYngwwLmK5V7BzWeXGU6v4lzAx4bUHnXiE9kp9XSLECucnxKCb8yvIyHWDDefoycrCiUxMvF+8mIRbfoEW2GrLUwx4WB/SjvvJuVntGmiFQIfU6D86uKIlbFgYzMCimF1jIubW2RmEy0qgtCo4DEytSLSYuyZlbA3Ktgan2UyzQhspoZmPKAnTzK34Nm7+IfsXf0b1pYtK+s5WbFCrCsqsZ3aY1JhVGC+O+Mb1k9QLL0FYWHr2mUuPneRVvEUKEcrBjKfWr9BOirrCN4SXKoqIBVKa6RWaKUT6FeJCxcao1/f7OK1Dhjt2N3aoT1XEF1kNigZ742oSoubjhFigikyugtd5pfnUIVqWpKNU0sUaJORtxzj2QScRKDxNC3MYPG+woYZeTsDHETXePk15HxvE4AMEec8ruEaHnr4xaPd9+HC70EGBsNt0JJCZ5S9ReSZ25G9eUKo2Vk/w0Y/YNp9MqdxQqTNg0wLpYjXSfwCScwi1tVoWZDrNrNRoKoqstygXFLdEgXj0lLWF7nwud/B12/n2NlvRegOoED3uftN343Rc/zTJ/4YO9km0ympRDa2SVJqlGlTtJYwWY9ytt9UUGuCqDGnA/Nzmp1NQWk10yKgKgcYovI4FUAmgBA91D5Q2ZppOeVgsMk//9MfUNVXuPMN/xOmc4woBCEoXOPn54PHB4dzilk5TWIF51KmeUjRckBqnx62529YzI488rRuDLrDkRDl8PZDQr8UEqkV7V6XdreT1L/e44PCWst4OgUB1iV3g+BDoyZvIGOIaUNhIjYECK6piPu0+Qxp0b3+WIt1Hm16aNM6ooN98eh0elyrIbiAa3wolVNI4XGUeFclQOUS7zU6iD5RNKx1ZPlCavnyRfy45vkE6fd9mDSilOL8+fNsbGxw9eoVpuWMVqvdxBwmmxzvQwMEp8zNzbF+/HjT/k2VyKqumOv3KYqC4WhIq9V+2ft+CACPVo8YyTLDysrKqyQeEdgQ6S8s0Wr3GIxGhOCoy9lRC7vVaiECtPIcqTRz/QVm0ynB12mt0ZqDcUU7zyiMRygBh5t/El2i223zjffdy9///ScpZxPwFpBkRqJMxqwqGRzsYaSk1e5Q1jV1XVEUBVJpiqLNdDZFt9tH71EMAuciSmYsLS/T7XR56umnKYo21ktKDEakxHQfHS4KnPep8ucDtU2ev4cFkEPw6r2ntnVKNdKCtdVV4g3zzKs1vq7BYIyR4XDI008/zW233cbKygrPPPMMVVVxcHDAb/3Wb3H69GlOnz6NlJJ77rkHgD/+4z/mR3/0RxmPx8zPz7O1tcXv//7v88ADD2CM4Qd+4AeaCCrBr//6r/PmN7+Z8XjMO9/5Tra2tlhaWmJnZ4f3vOc9/Mmf/An3338/0+mUJ554gk6nw/nz54/u//d///esr68znU7Z3d3l3nvv5ZOf/ORRFM5X8CqP/kvXUoEPKzz+yCfBGoq2wehUnUvk5wylDAGwlHg7or8gWZ2fJ8tTG6S2I2aTJ6jGBzh3DikXqFVJnDgIKRbKNROg8xYXZlRuzO5gSj20uBJUJwVCKESy+tAZrVYPZQTldEzWlqhdzfJ6h1tf06WdVXSKBZ59ccLD//Jxzt3zn7n8wgU2dnbRwnHT8S7nbu6jc0GnSBWZyQhcXVO1I3NzAi/20WGMr2GwP2Q8HFPXARs0tVdkqgAssWn1KAqMWsK0FxkOd9g8mIBRyDxjd1jjgqGVO4xKk2cIgspFCu1ZW1zm2nZSajrR4vLuzRi5D2s1HR/JMk/eVL4cAlcJBmPF1fGdWPMW2vkiSjlrdqIAACAASURBVBuC0MSYYe2388L+NU4sfJZz65dY6GZk2RymWMaHPaw9OFpAlAhoMSPKKf25ZVxd07XHOHjiNp699CLx1Ih+x9MyjQWKEMxmAedqXJ1yjNvtdqrqNhwrY0yKw1IK5z2iktQRoop4l/KQ/TQwuDZgOJria0euWnSKOYQSiCgIdeBgY8jB9j6rJ1dYXF2kbjp3MQh00HhnUGbGdLCPkgZVKLJ2Q9AXbYhFY+I7ZuYqrMuwrkWMEimS6k6EiIvXQV9oKj0hHmZEH9p0WGalR0RBrttIo5GV4cGPP8zinKG0ngsXC8yJb8PQStxEGQhRNQujRISmKhUBJcizQCgdUggyVWBnloP9fUyW7h+JROXw9SWWehdxO0/zyCc/S+fJ+3jz//C/k+UL7O5eYG/reVTY5TWvWeTyczkw4npVJlWBpDAoVaBNG1FNQKRWI1EiIyhT0+pFluoZ+3uXCfEkLnTItKSJ5YUIPngqFyhnnt29XXZ3LtIZD3ju4Ue58vSfc8+3vJv1029kPN6gns1wrRY+0zgnGxAeqIUgNpsh6xzW2gQqYjxqu91YoT1cUGtrkVLinDv6PR39PZq7UiSedZaqrrDWYbRBCEeMMQk0RAKIzvpmI5CU5BGwzlFToUzKMpci+XbWOjQ51qmClx5nsa5mWjqW19fRJmvepsOcmeaUBMwvr2Gf1JSVSyk9SiKFgmibynEjQ/CBYN3R+1LXllkVOHXiWFILfxkanpTJl7Cu62Tjk+dkWcZtt93G6dOnuXr1Kru7uwyHgyMAJ4Qkxsjq6irr6+scGrfXdc14PCbLMoqioNfrUdU1w+HwqEV+mAF+IzgMwXPs2BrtdutVAyPbu3t89M8ewLoSHz1FUSAitNoFEKnqyEK/z/LKGs+88AKT0uM8CHRTrdWMxiVlaZtqq6LQmkJLki5PMp7V/JeP/lei98QYEmNYSk6dOMH29jaRiOrMMRyXbLy0RX9+jiIrCD4koZeWeH94vXl8SIGUQibB0mg8pqwqfAwUrRazyZTtqwOKVgGKpFwXMm1Om0q196lzFWNMm5B4/XuBSnOLh+msajoyry5t8OsaDAI89dRTjEYj7rjjjjSZNG3i3/3d32V3d5d3v/vdPPDAAxRFwV133cVTTz3Fu9/9boQQfOxjH+Ouu+7iZ37mZ/jgBz/IH/3RH/HDP/zD/Nqv/Ro/8iM/wmte8xo+/OEPc+utt/Kbv/mb3Hzzzfz0T/8073znO/nlX/5lfuVXfoWPfexj3H///Tz66KPUdc25c+dYXl7mL//yL/mbv/kb3va2t/EHf/AHDAYDfvZnfxalFJubm3Q6HeAraRkf7jqbmR+F4DjXXvIp91emak+ynFCYLCfPulTCMqoOyOYC/UVDq5WjTFJweR+pOxWD/CKzgUS6O6Hq4p1FUDUTK1gXcbWgKkvG5Q5bmwOkFWRtSVQVCIWI+dHrkEoSlaNiyGJP8brzJzBVIDCknhm0qVhc1Ayef4krz/8DTzz8EW5aMhxbb7OynBOsZ+famJXFAm3AqCQCGk1rxtOKuW4PLR171w5wlcdohRQaFQXKWSo7wRuPE6meGYLFugn7+1Oubl1E6hlzi4a5+RZb1wbsDGa0i4xMNz6DXjApPfmyYWllne7VXUaDATKCUAMG4xmXfE1/PqPTgVyn34ezMJj0GfjXonrfRN46gTES3cRoRTQu62H1HJeGhlxJusUVdD2hlpLgkhggNHwjHyMuKOo6MJmUSTErM9ZWMyabFZcuz1iYV8x1Apn2RBTD2jWE88S108ak3bVofPm0plUUtFoF08kstTFkaplJmao8Kmp2NvbJijbtVg8jM4ROZt0CIESMz6nrGZsv7BLqwPLJZYKIeBlSpJwUaKOYqSntXk7eKVBZI0gRTcycdyjnsDOLjxYfHDRRdAiBjAHXAJAEBv0NfwMhWFxIptPBCTpFD6VyjMjQRc5LVwZ86AN/x1yxwOrcrZiijY6KIAUKjzhqN16voKgYiCqiosboDOssQgpy2WX76g7GKMKCSURzM2Z9fg+TBaLX5H7KcPOf+NTHttBZj9HB00g/QAh48eoMayOha4hRpAxrYlPNKinLAbWt8G6cKiWHICo017DynD2teerSBrvbFts/TpH30FqhgEBa3MpyxnC4xf7BC8CQUyd6LM8JJuXTPPiJX2J59TZevFIx9a+n1W6nViOSGAUuRCSSGD02eFztqGuLrW3ibzat18OW/WHr0Vp7VG06nHuPgHs4VJB7gvfICN28xXg0pmXaR7y5QET5xIlOvNHEh6uqGheSFVVpa2ahTip2En7wOiCDQ8RU0XUNiC2tZVpaSitZPX4zQnw5jlak051nfvEY09FVjJFJRBMVwQR0lMgoEi81RLxzVM5SWc+0tKDarB07w5dKT6+PdruNbgDkwcEBQgh6vV7jWZlaxOvra0ynM+o6UVTq2lLXFWtr14Ggs47xeIzWOtkBZRlaa06dOsXzzz/PYJDAZMo+Thu7wxGC56bTp17VqpSAhtpj8EES0cxmU2yAsirJTUZlI6o9T+f0ndQ3fyPPqz5XL45pacmMeY7d8+3M9jYZbV3E2ZLpdEqwltwkKoIxKX9cyka5HAVGS5aX19nbG1JNaiIVrUxjFhcIMbC9O0Brw+LCHEppnE+bZ+tdIyLzGCmp6pq9/X0i0O/Pc+78nfzzgw+RLbaZTqeI2iGoG7Hx9c3Q0atvLHFEQ8MJIUBI8zghcvXKlXT7v1cGX91xyBe8++67uXDhAtZatra2eN/73sfy8jLf+Z3fyW/8xm9w9uxZlpaWeO9738v+/j7f933fxy233MJ0OuWbv/mb+eAHP8hjjz1GURRMp1NijNx333284Q1vAOAnf/In+f7v/36eeeYZHnjgAT73uc8hhGB5eRkhBA899BBCCF772tdSFMVRjuInPvEJ3vWud/GOd7yD973vfV9FRfDGEQ/lUkQRybMTGD2HFJNU3WjalVIYhMkpui3KakKMJb3ljE5X0cp1w02JeA91BlI4gnuR2bBF5m9p7A7S5Ge9p6prZuWYym5y0y2KhcUumZS4Y5LZuKYajqitQgWFd5bJdEwtJ4iiRrcMRXBQVqnC6AR105c8uybZePajnFjZZ3ne0Ck0ZWnZ3pvSbucs5yLxqxpujwsZszIyGEwZH1R0c02/m5FpgRQxVUG9ZFYGxhPHrEzWHUpUVP4KV4dTsnag084ojERJmO8vcHBQs3llzM7AYT1UNjIeWU71byOfX+XMmQWefOxxZHiJef0UKk4YTSOT2TTZceiIiJEqtInFN9Ja/Sbydp+2yRFZ4mLKCDFqtAwoGZCc5rkdx8LclONqE+VGxFjjbYl3h9nJkUlVMIs5sonEC3aPU/MXsKZkY2PGxlXDlokoHSBq9tWIUs+YTVxqxQmI4otaV4A8KtZcn9TS39TwMDqnKDpNhVmDljSsK0L0CO/JlURVhs1L22RFRjFfpKqmiE2msyDvGlrzbVTDiVKJBEogEoNHe49RAa0FIVhooE0i4UeiiDcAC4/3rtmkOJyvqe2Uui7ptuZQymCkxAiFlgWvOXEn0gsykz6HwsjmvCTaa1xMHLAbP18xShQKFQqUttQ2qZ8L00GKVS6/sMVyVTO/ME+rKBHVAK0deS7ItMZXU/Znn6fdknSMIi8gSkG7FdmeVlincS7iTcB7cKJC1mN88A33r8K5GTY4XHDYIEl6mojQI+48q7n00hZXNreJehGTd9Aih+AgTiHuo8WQtSWH0oZ2K/nkIWv89DLDjS36+Z3sHVTsjQZ4JShiIA8eozSqqQBa76nLmul0SjmbUtcW5xINQt3gj3d47Rx+f/j14X0PQbxzHltbhI+sLq+wee0l9odDvFTkIZB7n9JjBATvqZ2lLmcMh1NmKimMxaxkHEt0TPyxGouLASs9SgiykKGdwtvAdFYzHFccP3kHvf5Sc9WH663c694jCGm4/bV38+BnthiNpynXvRCIAFZVOBFQKLJgkFZgK8ektByMJ5y7/S10eovNNv2VueF5nlTXxhiqqmJvb49+v8/CwgLOWZSaobWhKJKQxFqd5l6bQgWAFLM3nWFrS7fXwRid1N9KURQFt912Gy+++CJ7e7u0222KPEc3VSxISuKzZ8/8d6w5X/kYTSYMhkMyo6hcQKksCXFkoqhIodg/GLE3usCZ138jWkRsEDinqIJAZXP0TpxFSMm1i08TZ7NU9lCKykoCMJ7O8D4kukYjPhJYPvlPD2IDRKlBad70pm/k4nNPsbe1SavVofaBaWkJewMCivn+AtXebiMwAaE1pqE8QKSqZjzx+X8jy3NMu4vWGXY6SJ8zcegmkUQqLyvSHAG9mHiGiMZT91UmCt4wvq7B4I0g7A1veAMvvvgizjk+8IEPcOXKFX7qp36K3d1d9vb2+K7v+i6EEDzyyCPEGPnQhz7Ehz70oZcd79BC5sEHHzwCgwDXrl3je7/3e/nMZz6DMeaoxA9w7733vkzEcviY+++/nx//8R/nd37nd/jwhz/MRz7yEdbX1/nIRz7CW9/61q/2lb78PPMer33jXVy7/DDB1sSYI5rWV3Se/fGQy/svsnra0GpJ8qwgyyVG50gpm6pHJDiB9FMG20/iZhupPaUMOu+gzAKVE4xm1zh20wE336wb/7VICIJ6QTAZCQYbE8oyQJX4LqUcYToRqQQ2lARbNcR2qGYeZSPIyGz/Eu1eRCuoKtjamdDpteh1ZMpfVQLRJBMEHzAqYFTiB6ko6RSysYRIFiDOO4zwgGYycuTG4ETFeFqjc0W70LRyRaYlulHWtlY1y0stZpVnMvEMJ44XL42ZyXNkts3iguHUTTcx2fosC/kYa5tWVgTrFMZ5pFLM5Bk6vdeSZz1y3UkmyjpVHKNIkW3SOoQNRKOozHFe3Fxkrn2ZQk7S+YeAdRW2jJQVbA/mEfOLZLMREKF8jPnsKVYXC9aWF3jppZqtg5pZqSAIqqLGZTNUHkG18NGS+RZRJfBhbWQ8nVLW1ZHi1IdDunNSw/kQyfIMkxmUTvYjQqaItwj4JqEkiLQ7L2KPyy9c5abbTxL1DS3CAFIatM7QKkdnOql4xaEKTxG9T88sJd655GuHaqbWeLRzPwKDIYFA62vKMCGqGVIHpEr+f1ImmmtUAi0N0mRNLrNC6+RPF2REBEn0gL0BEBMQIVUmhYyoJuHEuhohIVNdtMrZe2mTvWuXac+VnDuToh+npWNYV1gb6M/ldPLYtHEjQQdWFgu2tyaMp552S6F8QLokYhGhRPj6SOHtfRKolB5qG6lKTww6KYiZceKYpt837OxfY+/AMq6g1zUsLkjaeUgbUJEl5ba17E2gto5+v0O7Bbad0+ueovKCscmYCYF06drUIWB8wNuaSVkSi4Lae2bTMUW7aBJ81JHQRESIPqQUG65vKnzT4nU2gcjaVtTTKbnS0GphVlYpvUcoySgGZF0jY0SHiAiBWJWMJmNsUbB+4gTT8ZibTr2G5y78Ey5YQqi5MttkKkZYVZHycVqsqBXW7BrlwKJ7i9xy/m6EOGzhHnZVjjxImvUDuv0Vzpx/PZ/97N/ggmMWtrkWrzEUe1gZkEHRiQVrco1+tchwNGNp7Qwnz5wnmSe/8mIfI42JunwZgL58+XJTwdPJjD2Gl1VTD9vmw+EQ769vWLRWVFVNCEm0cFgdXFhYoN/vNzzEq4xGo8aQXRJD5OTJE8zP97/K9earG1pptNIoKXB1mc5/MKAX5xiNhrTbbVwAKeHm06dZn59DKkFvriCXjsHWDp//2B/i6yntokVrcYVur+DYsWPs7GwBAmMSxcUYQ6so2N7eZGNjm4P9MTovWD22yNLyKs++cJnZ1FEHSQwOrRXWR+rxDCEF5dbOEZ/VEbHONhx5d8RNliISoqIcjxAiJcnEmPi83jUG0kIkRwJAxNTxaJwToVHq4x2Z0SnJ5v+D8XUNBsuy5LHHHkMpxete9zr+9m//lhACf/qnf0qn0+FHfuRHeP/73w/AG9/4RmKMGGMQQvDbv/3bfMu3fAsAk8mEVqvF8vIyMUYefvhhpJTce++9CCH41V/9VT796U/zgz/4g/z8z/88WmvOnTtHnue8/vWvpyxLHn/8cWKMR+BwOp3yEz/xE/zYj/0YH/vYx3j/+9/Pv/3bv/ELv/ALfPzjH/8qdwzihq8EILnl3DeQzz3BbK9ksltTW4/yGuqK5y9dRfanmLyPUQKtBFo33CRhEGLGbATPPLrP9ktTZGhhVI2Q4f9h781iNDvPO7/fu55zvr2Wrq7uZi9sNrvZJCVKouQR7LE8kcdObMvyzGBiJ4EBxYEn8I2RxNe+8a0NjwPkJsBgHCSAA2OsYGZEZeDxItnWZluUTImiSIpb711dXdu3nu1dcvGeKlKONR7PiFfS2yj0wqr6vjr8vvM+7/P8/78/oYWy1NRB08aM7YuSy5cD/b5OmBYZCD4FxSupwHsO7iwQrcD4hFJRQeC9gjbS1J7aRcoysFw0aKdoXEDaCrzCB83saEWWWfqZotCSzCi0NkipIQa8apCiJUZF27esZg1K5+RZTlAFhAbZLCFWZN5QmshiXmOdpYwwzhXmGChrc7TuI1VG8A2iXZAsEIKAYH1jnZ3yCm11SIyKLLPkp85xdnPJ2Mxw7ZymBSNzRuM1qpjx5W+exZpJ1y0MKK2xWlNkFmGgbgVNlLjYokxNbiqWS8+DnQar5wgBRgq8UtSV4uFRwcPVFfJMUe3sIAAdp2SjbaI55MJY8OjZEfOq4HBhWZUVb1TnqPSIGAStE7RuSeMjNgwQXkILPgpUIxMHsuP+Re8740KL846+HZyMlbU2mG40E4k4n7RhLoJUAa0tcRWZ7c8Yrg9wVWR5WLOaNcQgeLg8QipJ1stYO7VGf9QjyoiPPqEXfHIEe+8QIiYdkEgdyBhTkRZjSBncoaF1DbWrCKplfXPE/oME4j7BgwjZ6acSOsVI0aWbJIC2VGmcKRtBG7sOUHCEE4h1TGYHmaDaCbEUkESsyuiNLxJkRRt2GBYWIQ0+aBobKcsG7xrUIE9xgVKBDGyt59zIl8xmLcOeSs8JiLZJ17FzGYooCD6kMW2lqOrAdBHo96BeNbTCJHc3DZOhwGqLD47+QFDYjqfZxQvGEHHe0DhFWTaU1Ypeb4TQhsFkk0kxQqiOmxiTQ7ttG8rlirJtGJzZ5sylS8z+6qvM5nOK/gDbOcmFTPrKGCJSJc0ldNLCk+5gS9s2NHVNVdYslgtGNmchAtmpTQY2T/gYIfDEhFJpaqpVSbXy9DY2eez6E0hteenrLzAcbbLPgtcOXybPAn7Lo3sKZdKoeekWzBZz7izusFg4fvSx/xqhclKnWUJMBxHxbffR4yWZnD7HjfoBN8IhsQiw5pEFKKUJ0TFrZswPF8jFHab3K/7b938UqSzxHUrEv6k7aIw5cUtDajasVivu37/PxsZGQi217tu0scfmRyEERVGkay6+3Rl8dHSE955Tp06dfE5RFGxtbXF0dMjR0ZSqqnBtyzPPvOfvxNX9T1lFkbG5MWFtPEBrzXgyZrVc0O8VCAJSJ8nK4eGcGy/8GXm9w3BzizNPP8t6HtjatPz3P/dT1K6hrpNMAVpAc/nSeZwL3L2/w3K5QCq4cOEM26fXuHb1GrNFxbJ2XHn8cfr9Hn/+xS+xe3SI9y2QQPdIiVQK4ePbxXcIJziY48kIdAdREi5Jao8OkeCWTDZGGJWl6+p8yuwO6d4QY8IWIVL0Z4gBgaYNgX4vJ88zvqOw9Lu4vqeLwZ2dHW7fvs0jjzzCxsbGiQ7Pe88nPvEJtre3+fznP4/W+mTc+5GPfIRPf/rTfPazn+XjH/849+/f5xd+4RcYDAZ88pOfZLFYcPPmTay1eO+Zz+fcvXuXGCOXLl3Ce89v/uZvMp1Oefzxx9nY2GB/f5/XX3+dXq/HU089xSc/+Ul+5Vd+hQsXLvA7v/M7/MzP/AxvvvkmL7zwAuPxd+OUJuj3LzGZbNHP9rA9x3Snol4a2iC4dfsBl9dG6aUXVdpkEQhsckIeRf7yszcojwR9OyQzBqWSyDsGhQstjWtYlEti6cn0GllmMZlBogmhRbYaArQjhxrBardFR4mTAl86hk3EV57VqqKqYH7YENuINpLCAFTUc8FbeytML3B6vYfVIrEFTYp706ZHDA7nZkQWmOCwVlAqQYvG5FuofIxvpqlo9A1GgjKag6Ma7RzFWKC1xCiJlhqt++h8E2MH+HaZHG++RckWrSN5IQilRRuJooeMOTH7h+xV1yG+xOPnXmWj58l665jhWb70lZuE2IPOJYoAhUQpie0ZcpvBckXbgBQR3XyVXvxThpPbaFkShIIQaapA7RpmpeTB7BnWTn8Ea0YoafEEfHiau/N15vWrPH3h62wNI+fGIy5fvkCrNMtXNrlTDglRYkKk9TV+5airGXQYGO+PMQjJrel9yqL1jcN1zDV1jI85ZtBlFmvS+Kpq0ugqAXgVUkmMMsz3F/g6MJvOkcFQ6ElCLpBQGW7muHf0gHxoeeTyWWxuaIgIDxGH8y1vJ6t0mrmYisIQU7HYhobaraj9isceP8PDhzud6aTLVxbpkNQd29O7RCaws8kUed9g84ymrikXVfr5Zad1jd0pX8iEsujeLUnvFpOIXYASitysYXuW3CqkEoQARkmUtCxXFauqoVeMsCoZuayFS5fW+fo377G/p5ExI+DJgkYrurxsECEZmBqnqKuGeVtQ00O5JUcz13VnBT442rbBSMN4ZCiKiNUkvJMUyfAQE3hau6QpXq4ch9MFaxsDhpMJwhSIY6MBCZPhQsAXPcxgkLR3zvPk0+/lS5//PNPDQ4zWyZEsIKqA1j51U99xqA2ezqHc0tQN1apkuVhg8oJ8PCLr91CZRUuDFqkIDqLrSrsC3euh+j1C42hCZK3os7G5RQiCy089wc1bL5OdtmQTlVJCdAakqENnHJWusFnBxQuX6X6ykyLwP7QND4oJF99zhW8c/DHD7ZysSKgtJVPSdONbvPWs1AxrR5w/ewnxt7gBhIDMWiKcaCmPQd/z+ZyiKE7eS8fj9cViQYyRwWBw0vk7dm2fdF69xxjDcrkE4OrVq/R6PZbLJW3bMplM6Pf7SfNZ1zz7wQ/8HfeWv+uKXL54jp/40R9mfdRHKsFyueTw8IBeP4Hwp0dTzp17hLt375PnGb3BAL22zoP9FWcuT6hdxf37d3FtjXeSqnKsrY+RIrJzsM/+wSERgTaG7dOnqeuGnZ19FsuSK1ef4Pxwwoc+9GGUkmlSKDto+7Hhq+M2JvrEOwxO6cTJ21anVHQrHAqPLfqcOXWaN157jdq3PLJ9Ko2ndSREgT95CUhAEhSIkDBMUkii9xRFjs3sybV6NwvC7+li8JVXXmE+n/PRj34USJxBIQT9fp9f/uVf5ujoiBdffJG1tTWuXLkCwC/+4i/y+7//+/ze7/0en/nMZ1gsFkgp+fVf/3W2t7cpy5LxeMzR0RE/9mM/xu/+7u/y8Y9/nE9+8pP82q/9Gr/xG7/B+fPnTx5Pa82LL75IXdc8++yzDAYDfvzHf5zr16/zmc98hve97330+312d3c5d+4cv/qrv/pd0REI2WfUe5yVmBGEoK0iy0VDrASreUVT9fEumUVc8LSuRsgS7wVf+eJrrPYVo34CTSfW4PELOxUNRlkUkvnBnFvfqnj6ByYYnSOFJYSGEFZIDZBRN31mzQjpe0ThkPs3Ga7VNMua6X6gWjkKqRgONdYKjABQ3NuP3L9bcuFKP5H/VQCpkSpHmTFZb4PWN7gyIlyDVBEtI0JJGucRymJMH3yVOjtohKhRAjbOfxg5mlDuf47kCTzuDHS5vqYgegcdLPa4kS8l9HtrRL2RCqIQaESObwbs1Vu0OwXPXPoGm6GmqUoe7OwTwmUgYW5i7PRTMdJ4j6gjzkcUM/TyT8nip1kfH6Y4MJ34dh4I3lFWgjbmDOMGcbAGukCjiRF8NLS6YFGd5sVbBc88+irbWYtpSqLUyBgxmSVESwwBGTRetDRUVNUMG0FhU8HfbaCpGHS0TU1dVeS9PqLT9gkh0VJgrWHU73e50Qta3xUAXQGmhGY+m9FWkTwbYLIMqVXSstIlEgSPaS31vOTGqze5cOURdGFoZXKBNq1L/LrjbN/u17FppPUtra+ow5z17QFZT+B8C1FDd4r/m98kaSwoRMTHlmVZMZvNKBfJ0ZpGw/JtDXiMXSmZxuIhunStROoaeyJ1OWV5cJOrV1McWgipq4mQhGhYlY4wNuhihNF9ovCcfyTnwV7Nzm6NU5ENoJ95MiO6zmaEEGiDZNUKWrHBez78i2w98j7u3X6evXuvcLD7BgcP7qFURKsFg4khs4LMRKwWKX9Ymk7ClArsBFsXhNwwXzhWVSArcoTJO31w96qPYL3HSYnRhtVqxd79HS5cvMDjV6/yyje/iTWpsAlEgkmxfMfJLIkMGIkevG9p25qqLFnNV4gYmaytkff7mDxHG43phPZ0DuZIJCiPlhqpNc1iyf17d+hlORcvnadfGNpVyWgtIy80ytruvmUJKhA6NFFLgEZTtV13jc5rwHHn7m94ncRIDC1BenqTHJNZMquRmcV0+dTKCerQkI8CDqh9SV8NTu4a30kzaKxNvMZ3jIllNzauqgqt9QkyZrVa0bYtvY49aLo4vHd29WKMJwc1SFGJDx8+5MyZM/gOeZIKmvT5o/GYM2fOvKsOVhC8ceMO/+/v/zFGJ8d9fziGGBkN+vT7PbSRnFWGsmk4ms+42BtQZD28SO5qVxk2tzZZHh3SNp6d3fvsH+4wHvXZGI85s73Jnbu7zKuGWzfvcvfefYTNuXTpAv/4n/5jvvKVF/jtf/kvqOuGvYMDfATE2yxUH7r/Q0KfFIQQUSJ2ySjgu/QeSO56KSJto7n3YI/+aMLR9JBV3SQtukp4LikkqKRjHgGzhwAAIABJREFUlSLNwWOMaKFBSKKPaUpkvl8Mvuvr0qVL/PZv/zZPPvkkAD/xEz/BZDJhc3OTa9eucXBwwG/91m/R7/dZX18HYDwe86lPfYrnnnuOr3/964xGIz72sY+dfI+iKPiDP/gDnnvuOWKMfPjDH2Zra4vBYMCXvvQlrl+/zk/+5E/yqU99in6/j5Ty5HlcvHgxtcnHY5577jn+8A//kOeff56maXj00Uf56Z/+aba3t79LP73CZo/R+lfIwox8pNlTgXquCHLM/kHgbBkoBhWyzrpOx4y7b1bs3lqx1p+QWY3NJLobiwkBgRS5JKUHIXFk3Hx9xSOXW85cmIDQCOmJQnCwN+CNV3oEt0Vv0ENoAT7SuIzdBy+zuFMxv1WxvTlgbRjoZxKtUwHRxsi9nX3aAAhFEMds/LcFuULKtzfsbtyTPkXStg1tnVx0oV3gu4gzH8F7WDv9DOuXnuSbn3ueGCp8TBxB5RtcPScGh3cVPjQd0Baih+AjfetxWY4QEhUDQga8zNBCc1h9gJt3W8YXvkHd3KZc7BH8HN/GxPkLOiEM2pa4UDTyiNYHWLyAbD7N5viAXi+gbYuVmijBhojwEqkFQrV4+QVW8hqYDyFk1yULFiVbnLQcLT7Aqzdr1novIcJtiJpePiRz0AoBXiCDTvw/EXG+pKkWaNFLJ9ZuVHK8cZerJcF7jLXwjo3t+E9pmPvXVxc7FQUyKoq8j83ylBerRedkFol3GeSJ431Vzbn56m0effIiEFOx3zYJ8XCcYANJyxjS6LppS6p2wakzI7bPbNArCvr9AauDshsnx+7JxpOvBoELjtVszuLeEatq2eUYp/dO5G3NoFWGIi8w2tCVJiA64PA7xkkHB4esVkdoM8VkE5Ss8D7JDGJ0WC2ppGa+aNjYGFMUZ1isPLPZPuvjEUVfUTU1h0f3WKoZee7QWiJFx2tUAzbOvJcf+sgvcfrcswSh2Tz/Qdxqj88897+juYnVFavlN8iLEmMFWkm0NmhdIHUvoUl8gxBLBI6gPdbLNKKsagZZhtDHXLt3JsB40CrxGmUkysCtu7e5dvVxnHN865VXaFzL2I1wWYG1FqW7VBtSUedDxDc1bV0xn82ISNa7iY0pCoy1aKVQ3Yg6VeGkkZ0MqRiUAhMifrnkrTff4L3PvAeVeW4cvoLuC6TpRv/W0M/7CBSVWCS3cRDUdsGtg1e5OHkSGeWJg/2dxpFvWyJyWO9yb/Y6Zk2gjEQYjc1zcttPHaVaoFxAWWhExc2D11nfPvX2G+Q77O9a6xPMyzs/YozUdX0y+q3rmsViQa/XO4nnO+YS/nWG4DsLyxACd+/ePeEYfrt5J3DlyuWTYufdXE3d8PRTT/PeJ69weJSKpvl8yXQ6Y//wiId7e5x/9Ar3Hh7y4ovf4Aej5v1nH8NVM5wfE4TiGy+9zmo65drVR1HGUNaeLMsJQtAbjKjcfW7efYAxSffezOe8/sab/PN//r9y99592jrpt3041l52PE3vcM4Tj3mlxK6EjzQiaRAF0LYJWRM7l7Iyig8+816++PwXcXVJcJ6j6YLtrU20PO7oNojoUcIwvnCNQb/H4cEucjHrikWFNRatTXelvj8mftfWtWvXeOKJJ07+fvXqVa5du3bSAl5bW+Pnf/7n/39fVxQFP/uzP8vP/dzPAe+0iaf17LPP8uyzz578XQjBT/3UT/Gxj33s5N8+8YlPnPz5+vXrPPHEEydvdEixOx/72Me+Lf7uPyb55D9+SbQ+i1BrLKdw/2bGouqhsz5PPPMU09Wb7D54QJ4HZIAYasTc8dqLDyjMKLEJlUGLJHC1Jmn0fAg42dDEiA4Kq3NUFbj9+i6nzvZQ0uJizZ0bltdfHmH1efJxuhlJjtE1V5kuFa7cYdC7zbDvKUzS0RmTo3XOfNFyuNrBS4NrHdFbcIKoAsHVtM2UGBqIgdjMCW2T4rZCxLkAsqFZ7SHUnOAbnKtpnKNuA6tGspXV3LnxBepqReMi1gm0doh2CdHjakOIntaVNM6laCcXqcoKYb5KZh5BqByJRnpwtiaEgiae5e7RY5xZf41cH0GoCf4OdbVPlltUa2gj6Vq4gJMezwzmX2R7sEfPGnKdYbUiU5qgdOrkuEgmKoT3rBcV7fKLyMF10JtA2wmXNUE05G7Cg8Xj3D64yYXhA5yMKL3Cin46kcoAIRCRBCJZz7OsSnwVuuizZN4IsSHQEmWD7WWdVu8Y5ZLGV1VZ4zo+V9OZAkLwqbMYQ3IYA8YapOmMJ7LTlgnRZRMrnEhA6SL0WVVz7t/aYfP8BmU7x5erThtlkDF2iRMO5xI4tg0VZy5scu36YwwHYzKbs98/YpcZke4m3ukLk3YtsCpLpot9WteiVTKEGJWnqDFxHHP3dtbvYjklEsls4rGF6Aki8cycW3E43SPGgLUF1kiK/hbEmraBGBZoFdAqYHTiirVBMT/wvHlzSWBAMcgZqaRXbrfPM18cMp0fMJuvqKoVjVN88If+CT/2j36JqPuImPqTztX8xZ88R3X0kNF4QLl4iFE1Vgh0p4VSymLMAJNNEt6jWXWd1RVKOpSMKE03WtUIrU+QVMdjMhkSbFkiE8g6C7TNgv3DQ973gfejjebll16iXMwZjEYURXK2StW5xEMyPjSrBYujI1wInL1wgbxfYDJ78thGaYQGJTTHB78QYoJdC1AigxDJY2R2NGP3/gOKR0as3JygJa0KZAgycjKTunOVT5grHQSNXHFY7eJwZGRJzCgCfEfEjGReLlgxo5CJ2iCFphAZPdmnVTWNWIIEISNSOnbLu3hAdZOUv84wTPd6Toqz47zed34ccxxDCBweHnY50eakADwu8I4LSkjfTxyPMrv/Xtc1e3t7rK2tJZB39xFj5PHHr3wX95vvvLz39ArLM09fRQRHVVXkeYGXktZ5/o//63dwHWLGu0i5nDPQnguPbKZ7SUxYlnsPdrlw8Qx10/DSy28SPBTDAfPVQ27f32MwPkXW63c6SY1Uhr1GYLceRzpPVVYpt3u5oNfLKVerlBTkPTGELoawGxUHj0IQlERrCaQMaBEjDRJ0n93SE7afpF/kzG++RN2UaG1Zn4xSvnoEZQyXrjwFj3+UyaTgcPc+D778R1T7t8lsxBqFUYZ3ylferfU9XQz+9XHrt9Pv/9O/z9/lsf5Dj/23fc1/zko3oDUe7p7j5W8IVNxiNOgnE4OUDEcTHh59lZ2dHfxmReEk9bTlaK9hbdBPYetSduYSg8kHGFvQNitilTAoXqTfrRHsP6ipliuUrTmaGV5/dYQ1Z+n30shGqQR6jjFBcCf6MnJ+jui+htHdzctobN7HZBu42YrgJFG2LBc96jVBY1MahmhqTJzj2xJBwLtUkDgXaVtwdQtZRlVXIKtUPLhA3QgWlWO6jNx+/d8yXSxYzhyDQQ+tQSkHIeV5noiyXaRxLVUbWVZwdLhivfcSRn8UmW8iIzR1QmPUusUGjxeau/uR9X5FlguK+h7N4lussglSWaTX0LQsOkSK9XfohQOslcnIogRG5yjbx+iCEGoQK2JwBB3IbCBbvkmMu+jeaZSzlLS42GBCRjA1rbHcfxAp/JwoBIflnKWcM9jeJtAio8Mrh1CqcwZXzGaHKGXJCospUrarlAUQCc7j2obGOfADlFC03chJOkUUKbXEeZfAq96n7mrrUd1jSK2QSmNUhlKSKAXCe2rZ4nxEBoE0oF3GbPeQta0JVblisXyAiin6CZHMCTF4PJIYGs5dOM0T168wHm/Qy3oYLRmPxyh2cLFNRWyIRJlQGovVnGU5RStDlhdIqbEyS/1lmfSBiOSi9jEVzlqn4rOul3gEUfikQ6VmeniIlIIsy9Eqw2hBMdgiNAd4tyLKsjPASLSIlD5yZzdt0kW+ST/TabwkNUI6Ijm9YpvJ2inaVc3+0Ywbd1/nzq2XWM7v0p88RowKhGTnzis8uPECw4EgN5Klr5HCd129LutUGKTqkeXrWDtgxS6qmdPVEEih0LTEbgIgtT0xJhwbTqR3nUFFJXi40eRZxuHBIVtnznHtqaeYjIZ8/S+/jNs/oNQLKqOJKnVTmjpQLecY13Dq9DYMhuT9ftLeGYPSCqUEUic9rZImmYUIBE8nK4hpbGsM2juKIufhg13ObQ+RXhNCg/A5wXvq0KDrMnW+uzg6ERw4MLbfDfq7+y7dgC6AlwmvJGLnPidipEI5TUuN8cnp3rgaZMof986DEwSfOkK5KDopQYdC6saRovumxwq0qklYrRBc17GK+OgS57VuiTTJuFOuWFtbT7rj7uPYxGUzizWWEDx1LYmx7WIiXVc0Jv1gr98jhjTZaINjkPXYPrsN+PSDvouz4ggd69AjYwKFJ19RyszOegPK5YLMGqQ03dVx5BpiaInR8+z73oeMDYO1TdirGV+8TrN1mVU2oR5LTl/boLd+mqw/RFmLUAYpDC4IYkhSl6xpcHVLVtWoGNBlSeFqvGuQPt0TQ3dvEaGFIDsKgacvBbLD4ARjyAdr5Beu8MzpbWyz4s1P/wvqm3/FqoWJTLFzSElEcu70Fof5kNvLwGI1QG89Sdi7jxAOHyRBeBDhRLn/bq3v6WLwe3sFIoZMPYFVmqIo0thI5yAbsmCxxd/jwd7XmM5usL7WUs1qXJAgNGBwQqNkZ66wGVnRIxARTcXxznwc/l6VDfNFi7Fw6w0JYQ3b66Ntwk4olZIuIh7hSlyzw2p5kwEaGZMGTYgM9ATb30LohwQUIQgODkvW1kGbDBQ44VCxOmE/Re9o20jZwGLlWSxbcnLS0QxcjIQ2UlWOBzPHwcxx9lKLGmnu31uwv6+QIocoaI1A68hxzJ53krqRLEvY32/Yf1ixeW6OkSX9foGjpBUi6T/cHqb9PEP7dfK4S1g5Hr8w5nwLr9/7GvtHm4RwCaEVRmVomfJQW1/Q8IOog1Po4g0yVaFUjspG2OIcrjwiuIc42YAMSBFQsiTEXUbDEb5x1DGgfUCIBTF+hWH2AmN7m2XpCFiWK8Huw30ar5mcGxOjxnhLlCncXtqILAL9gSEvcpRNUXV04fVJQ9jS1o52tSS0kYxBAhKLJnELu26h947WO1zrqZuW3mCAkAolNFYpMivJMouQMhXSTdqFnUimDakVVJKj3Sl12eK6TVKESBAxbdZE0JGN9TUuPn6WorBk1mOsRBvD5uYG9AN+1eCVoxUNgdglPlTYTJGpPDEOleoMC5ooZCc6iEQ8+A7cLBxCaqJS+GZB21QEIZktVmipsDZDq4TLkTrQNg2iw9OE6PECnGpx0lPVGdX9SNHfICsMJpNoZVO0lRAQdbquqkGjGCvF2bCJ9t/kM//6f+LRpz7Otff9U7Re4+Yrz5Mxg5jjg6BpS4zoHLJIIh28OSZdZXRpPH5syQnC4ZF4DFGA1KmbpzuqQogRj4eY8D8qeoIKGG1xuqFclUz39hgUBc3BjAtrm/RNwvVEofBeJKmBmrGIljPrjyB7BQfBo41FKgtKJUSRevuxtbIIBN61IBti9EgVUSHipcQoi9Mtq+aQuq6Y5Gd4UO7j8pQ8giiJviWKhCZq2kDTCppas7l5DoE+MQUcG4uijJ1AQHQs/7Q9T3objOUm09WKYGoalQqaummT09qleLu2dbjacnZ8/vjLu629y6yNJ2AkiBJXt7SuTocn5wmuJdSOupwzb1ORWTcVRVGgJWgRUPhkQBMeLQ2FNQyHfZq2Ivo6RePFkGI4RUBLR1nXuLpO0gYHoSl59ImrGK1Pntu7KxuUzJYlq9qjZaDxHuMDAcHLt6fEwRna0NDv91FaU1YB37oOHSWp2wafF4wf/yAP8y3qy1fYeqygLFuE7VH0+ohigLN9sMcyFIPWiizWlI2idZo2Wjw1XkqcbxB5RAWJ8AWhaWhdlRJJiGiRQOsoidAapTPIC3TewxZDetunGZzbwB3c55t/9K8pokJuv4elyZi5JX1ZoWVEyobhoMfFxyZ8+vm7XDy9wY3pFvlwQqEC82mXPPT9OLrvr3dvpWP/1unLfEPdYn85pToIlDFHGQsiAyxOPM3BdJNbq/uoGHCZZForMq+Qi0AuW9b6lkEpsTl4n+PcWoL84miEp9QNja95+a0BHs+NNxV16zHNjMw6rE66CCU1kZbGzWnaBaPJdfr2MVQBrY6UTrA8jAzcJku1xdblUUqs0BI17COHOaqvQEZcjEmv5RNjrgme0nkOqyUhB8ZrRJOyYgWC2DqaZc1suYvZzPDFOpnVbF5aII0h9HPiQCOswYsukqjLJK11y1K1LNUSubFC9i8glCH6CoUjlwGdRRp/yGDU0FOXUeIiy6oiiBaT9bhwJUPv5ei+xeRDrC6wpBzcNkqC36SprnN/+SKteoBY5vTdKcRqjdXeFCUqiCltpGmSnzXWZykPSuqqZbGYUfTB2BVDXTMyl1D6IugW6RVSr1NOexzdPWS9i/IyInBxbQvdG7Ezh73lAUe6wSiLDSlXGplE3yFERNBdZ6GiWjxEcYiUBiEVRhvaugYEQsmTGLAmV5hCsYgtqvEsvUC1Ar1KrrqLk1PYrM+sVdx6cJ/D1Qovkwnh4cGUyXaPU5N+SjBIw96OCCIYjHoM+316+iET+w2sExRmwp3yMZpii8n1NdqVppcV6SBBJNaGoU5jJIHq3OIJZry5fQYvTeoGOoHwjtbXRFfBakH0IGKPvh7TxxGExNqMPMswxmKUTiNnXXNQbLK1eYncVWjf4HzNvTsv8FDtUmUCIYaUPc8ir8j8gEc3r7A2ON05lyO1W/CVVz/HSi6QG4awNkHpQCkr/urhv+femzWTySVeqb9MO7nLKD/D4xvv58zaBTLr6fUCe/Ob3K0foLOYxr5tjSJ1ns6O38+4fzodpJxg1DpuzRQHt+6jVHI4tm3Lcr7AlRHrJihlcH7FtDqgN7HoTJAjqQ7ntHtTROnYGm92m3E6HLSlY3awxFV9BnKD+kCzOloh1hXUDWXpWMXDZIrQ5m3MSpbh2pbF0ZxmCVaOkEKxaudo6yiGBiWgb/u4SnJp/UOEmUWWGjEL5MGSKUPwnp2d25Q05KMRE3JEPebm/YfJRdwFVhBI40GXDEumFWRRcVguMJuWrcEzGL9Bz2l0U6CjRSmR9I1CEI2gzmvaieboJrzy1ltoqzEoopFoobokH4EIkkDJo5uv40kFSNuUHBwt2V0t6U9KlGjJ86RXK7KCwWiFsRZ17OQTAiFSglHm+gyzyGhUEwYyHSa8o20XlNWc1crTupuYTKJ0QPqMZ575Jynpjbf5nu9WSaiUpjdc4wvPf53xeECeWYw6xCF54Y0HOJsjCs2kyPiRf/D30NbilaXxgoOp469eP+TODOLgUZrKInoRqwS1aglYkBZJYncWJjIqFIjA+x9d51Rf8u++tsu96RTXtoTYJmC9kBCSFCHKlC4khECZ9LsU6b4nlUbYDFEU5L0eNitYu7DN2lbO7T//HC//u3/NaLyGPHcdUVac3+jT3Ps6Zy9cY1REXIisT8Zc3cx43yMDrl87yx8t52T2KYpYMp9OGW9spgv1LtNlvl8Mfo+uFN0FNjdk4wGvv/YWD/cdbx22iHyEsjlKy3QyF6cQYoKgIQRJcA7fNlBOWbOSMxsDBlWBzZIoXKsxSkhQgiAjXgWcd7x+q6QqSw6mDXcO9gj5AGGrNPqRJm2+IhJpwE/4wavXGVzaQJCctXt7+7y19y3W/Dr9wYDz7/1IIr0bi81yisIyHBR471ktV7RVfcIra0TDKlSU+ZzxeEJx+hRaSZTWhAjaOcKqIvffoj/oU+UjyDWXnuihsxxrJf0ip9frp3in5ZJQV8SmRrQtJm9YK2rUdAFyTBA5ZXWAVhEtBTKTGHuB4M5T+ZaynnPv8B79omA0HJAPBlxaG6QRqVadlisSCHgnCN7T+h6umfCwXLBYzAi7gtVUMlSPMuyNyW3qZAkpybKIi4J6t6YtW+pyhqsCpy9sYPSP0spIowTRKwie+fKQA7dHaFsOXj9EaYF0nnMXCh49c543HnyLw7KlKqdoucT0kqA/8eZS9nB0Aecq6nJFuVpipE4sQZXwRKFNGihtDXmvh7IZ9BRVWCHKFcGnE7+rGoSJ6LalOLXgqUcuUpVL7j+4w8JKfBsx2kCuefTaNle2Tqf8Tzgh/AffEOuGqloxmy64YL7KtnrIjeWIl6sfI9uombx3C5NbtC66XFm68X+nYQttGn2XgXpe0m57ts5cJrhA5Ut8M8XuvkG7902q+R6ZGrKyZym2niAbPIItemiboU2O0h1YV2m0bPGy4tT593fpLKkrNHniNl9+40954/BFlqFCIThdnOOpcz/E9bMfwMii6+jBrHzIS1/7I/zGlPG5EcWwYJU9glLpvf2ae4V28RLVhZrV4ZjN9Q/xwff9MwRZGnuKwKI54K9ufY6Xd55n5g8JKNbEKa5ffD9XH/1hCjk+HmISKbn/l3/CYvcI3yYoterizZppS3OgcUvJdLbHzZ03KDYUV54+y2htiHclwih6g+QSbUPENS3loma6W/HyV+8yyjY4vblJlXkq45gMNftv3kYInZBf1tJKmfKMm4ZlWaJUpJ/1md0L2FbRLj33926R9w3bl9fINyEfWspFoNe7xJXhFsvpitW9Q0btBCtyvvnqC9ze0zzy9BXW7Rb9wYCdXce+uZfME4lbDwFc8LiqoVm1NIc1g5Dx1p0bbD99hsHGJS70nyBXGiMztLRJ72VMKtKkJrhAO6n5y//nC4T9mwx6A3omR2YGqyzaGKQMqKjw8Ygnr7xBLhPzrvZL9o88f7F7hzPn1tncUAz6ktyot53ZQIwptaWqA8syMJ2tGJmcUWHJJxJrijT9iRLnS+p2RV0Lbt89IgCTtYLRxgc4vX06YXUiyL8Fg/Ofu9q25d//wR8hZURoxcbGBme3T9PPM64/80HWNiYMe4bp4T5aBY5mU167O+NPX3mRBzNYeY0er8NRjXdLUA6bFxg7QmWWGDU+GlRs+YHHNvnQlW3+8Bv3sUIyO6pZTBPoOhCIIckmtLGgPd61xKYGaQGFFCG9LrQBqYjGokxOr98jm/TYOrtBXu3yuf/t/+Tht25x6X0/zPCRx3lw+w0GNFy6cA01rJke3EfJhNP6s7/4PI8/8RjXzvT5N3/8Fe6/+TrX1z11vaCpFjg3JJkiv+8m/v56V9bbVrbHHnuUb914nf6opj9bcbRskBFMSKwsIQMyJn1DCEkn17Y1uikZrg2wmUmjXmOSu9HoFMAuBCKk07R0CZabaU2/WGD0nKOVSifoAEH6hCUhJaEIF2lrT1MloHMMghAUPhgChhDSmzwETYyKGMA5KMtACOBchwEICQgaIklTFwUxKupW4IJEuOQUDBHaCAHbOYc1Plo8GhElIWpqr4mVIHhJGw0OhyfikLgocMHjo2T/gWPNNMhM0AYQQiO7CLOk90nFZHQGo4cIPUDIYQecVlitUzFmUk5lEOA6/ltUHqn7KOuY7lVkfkxvsIbNBpiuo6VUim2TsUWJSBsaQhxyMN3l6BCG46xD6QgCSZfSrARN06CNJQuCXl2xaSzLhw/51tGUdWN5arLFkYjMQ2DhW+qqPNkkBAK8Y7VaIJVhMNnA2BwhDUIeZ9KmQ0RVlqzKFVmIhI7mn+gqAmk0k8mAfuMYqxyxWnLjjW/hfOBC3mMvtKwGhqUQhLpFRIHONFGDDonoH2LAOUmQBi0Fi3CJt2aX0H6Hby7PEk89gur3UXmOsjnSpGt2DJ2OMSK716DoRmQxBvYe3GYw2QJlEXtfhTf+bybVq/RliZEt3kuOZkMeug8Qzv8ELnuC6A1I97azOgYiLfs7U+KWRNg0iiMqNooL/MOn/zs+EldUvkZJQS4HGJGl7F9IwrUoOTqYEoVnsDnADhWqJ1CZxSpDFAHduJQSFHPaSnBw94DV1YainydMUtQM7Gl+8MrP8AOX/ytqvyQSyFWfTBTJzQ1d8aloltAeeiajNWIUtG1DVZcsVytsbqmzCsoRmRxwfvMK+6vb3Llxh41qjcFwgMkssssKD87jfU2zjISqB21O1s9QWrJoH9LfkMxmR0zGEwaDETpPLmLRGU188AzrhsVyxmI5Jxv1KHf2yOQGhcyRrUG3BcujXUoHWW9Iddiyc+M+84MZYlmxCFOa4Ng52uHSe6+yeXGbYtDH5BnaWKxMUPwoRecv90jfYozCWI3IFMuDEmEDbV0RmxaZFxBUKig8hLZjyQWPF52O1QnOPX6B13dfoWgKWhmxrccFh48KIQKyQxK11T5CHhBocb4ls5aNTcvB3pzcDjGyTskrPuFKWhLAuHWBshYsllA3kRiTI9ZJgYhNKpgE+C6f23lB3pM8fFhhteHM1Q8kWQwROnTSu1eERK4/us4/+gfvBd+gtKY/HDCZrHH3cMkP/eCznD61hjSWb7z4NRZVzWpq+PO3HI22xCix/SExQlUtQFtMzAjOUOPRMpLnCtfW1D7w8ptHvHXrgFuHFV9xDxHBU/sAEZTUKCuJIVDXJa4p8b5FhJj0mFYxGBT0+z1myxpI8qhi2ENRYab3eOkL/5bXvvwnjE8/yt//b/5nFlh2XnmB95we0tYrtre3eHDwGrP5nHPbZ/gff+mfEYVCOs961uIe3ORzz/0r/v7/8glufP0VyvmcYjxOTcF3uSj/fjH4vbqi7DYW2N5cY324Rl0/oGcDdx/exYQNQpZjtENISTw2THhHqBvq8oi1rKGXJWexVDpFiCmF0fYkqcU5j6RN+10MRO3JtKFvI3vTI3wI6GNAapo7EoMn+oq6GVK7EZLkzkQmF+uxIzV0zlUfJN4r2sYRAx0WwHVoj+T+8iF0jkWPlALn2s7Jepyi4BBdFqT3DuEC+EiQHrzDt9DGmtAhBLx3BBc7M0QA78A3eFeh/ITF1GEHodvE6qQwcxLvGqp6wcH+EmM10oCSImUPI9OoyCbGmDV9vGv4fdTZAAAgAElEQVSpWeE6OIsMKmWSopHB0Mv6WF2kEaRNonGjNTEKnFc0scajMKFHVvaZHczQNqJkTO5iGoKPSKs5fe4s81u3ORck59e26eVF0oapVNRv+cC0rXnQ1OwXFmzSVclki+T+zRtYk1P0B8gsQxqT4MSdwi7EgHYOo3OaqiTv9ZlsbCA6+E8QgtBWDKdLLuRjijzFbimhCHgmznOuari7WrKTC8wjpxiPJ+k5atBR4iOE0KIiNAhCMORZj5l6gq88fMhicJ0iK7AmJ5caqRMO5DgDVQiZHIMhpU+EmETt2jbIsuTw4Q3Gehfx6r/kjLxDPnb0NBjAx5Zxu8Ok+gz333pIc+V/wE2eRHhxwrETUhBoef0rX+D84BTXnvkAXogkREdiosSICf1js2x6sybDVwRQlPM5v/9v/hV+NEcXQ1QwxD1Nu4zEmlTc9iV6JJGmxRSe3Z3bPP/ZP+NH/sufBNMJ0WMCYSsxINODZHoh4WLE8WwUQfANz3/hs+zdv83Wk1eIUeCNwRqDEorlcooqIu0sBxWo4oLRmYxTl06BhFW9wi1mCATWZvT6AwbDASGPHIUSWdTQ6bSCqSi9Y+P0BsP+hCJPGBp5gqBJryOnk24QqZlP94l5hl+CVwZnZ8SeYbw+ASO4/dpNjm7PKaJlZEfobB2BZLq8x/qjpxmf3yIb9ujZAoWinpbsz5b42qOMpTfsMRj3KfIBVdYgVZ3MI8Fj5n3mVUvPtxhXobxEOU0QES8CkA6kAknA42JgfH6DfL1geVgStQZ0KuqiR2AQeBAlbV3hVJOQME5SNS3j0Zi9fcfte4KIwQ1aMp1iORECH6BpBIulofEDmjYwX86QMh16vXJIlRBJPkDbCsoGVqVCqrNMyx7D7f+CIJJWO7363s1+VGSQwYXN4wJcUPQUUizwA8NyPqPs5egs0DMZtd7g1rJmtH6KvfkRUlpClPjGp/QfEVEy6XiJDl82LJ1HG4MKkpu3D3FKpI58dEl/HNO9dzLssVwecXg0I4aUMKSkQViQxiQzU2ZwUqMLgRYR6hXu/h3avbcIq13c7g4/8PGfZ/T0j7B//4j9u7dYLEpe3r/L1kaPavaAZ9//Hra3N1kfRFTU6GxC7Q8R0ZGFCqNaXOsZDfqU0yOM6m4G39HR/t1Z3y8Gv1fXMflcRKzNuHjhPA+O9snznJ44JGeFii1NKfBYoogoEchUJMsls6omVylDUUjdOdhSOLgxmqJXYEwC0IboUUHivUQokFqQGcuwaNHWQWypK0EbRBKp48lUoFpO2X0o0AikSlmuUkia5vhEm8T93kla2hOcyTujl7xLPDzvW1rXJEirdxwdHZ5gGo75Xer/Y+89eizN7jS/33GvvfeGzYyMdOVYhp7N7uE0qWaTQ2FmBAwgaaulNgL0QfQFBGmj3ghQQxA0GAGSemYwM93NIcima5JNlmEVs7LSZ5gMd+1rj9HivHEzi0TvVJxF1wEKlSby3oj7uuc8/8fImGHWdZbedSgXWzKsi8YWH0AOr/88hmHIonKOzkYms1AJ3jmk8ISg13dSqTwBgQkZSi9RMtagCTHocsTQGIDGaEOea7rO03bQ1jV1XdN1NjIMQ5VRomM1V2QEDWmakecp3jvqOoaGKwdKSbRJqDuPCJdeSQ8hPvxdVzF7esjEOV7avc4kK9YB0FJIRAjY4NA2ISzg9Nkxz1wL2qBMZLeauiYrC3SWRTCoNEJF00MMYQ74IY+SrmF2dkY3sItSSrRUjH3g9mSbnWwUXX9ao5ERAHhHYjpuJgmrixNOjp/R7YwicFYCIQXWeXob/ZgK8CpBmZ4+2+VIf5VJsRfHcVqA0YN7eajO03rQPzp6G7P/QnAEr1BJgjE906NHLJu7FOIllvLLEBryvmdTnrCtTtjInrGtGtTqPR48/deEdJ8u20K4gB80qlnoUdLx8+//JTdffpViaysGR/x9WXYv/mGAn/3ge3x0533UP1JUdzrqpz3ZNKewKUE4rIg603bD0d/qSPYTfNrz65//mDff+hzXXvvMc4ssck02CF6oHVs7W+HpnQ9596c/YfyZGyRZBj42mUgVwbMPnkW/RMgOh0eNeraupcxXM7RUFFnBxmgDqYaOahtYLZcolTG6mrF9KyOcO1pb0yUrNie7TMotyiIjSaIMJAL1SzDo6KWMzs0wpu9q5rMVwlUI1TG6psi3ZcygbC39eUWpCsosGhC0TLG2prc9e7dvxBxDaTh9esrZvWPCzGGEjvE1QnAqPTJRFPtj9t+8RTpKERkED5t7W5ydntLOamQr6JKWLCspxiOSIiFoH2+zQg7yg56g4MZXXuWjH/2auvbIpKQ3BuPkwCJ7VGhYrgJKRzDZ9LCoYFXtcOP6KyyrFcfHBywXc0Zlh9E9SIFzEtgmNbdI8x2krLiY/hrrpoyjfwKtIuMXnKfqLbNlRtNcZTx6nc3rX6Ic3YIg8WJot/lE7SMC50ys1dOgnUd3HkTP3vYWzw4e8ujxQ7I055WX3qRvp7z08g1UvsHpr9u4UcWjtCR4wCdIHZtsgpegHKIPdJ1Fqqhfxsqhyzzg+z7eT10g1BXO90iTomTMapRaggKjUlLT4fqO/uwI3UxZHt3l9uaEN16+xdIaLsY3KL74n5Ne/wKPH53SXJyDl+jUkKgRo1GBbWa0LiEEDxiOzqbculGwXM2Zrhyr+ZSq6tnavcFe3nPjxjUmm3uItZv4k1ufgsF/8Cs+qF955SV+/s7bZMLyyt6YydYGJovuSefiyFdF8xS+75imLV3TrsdoH3vFIefqd0JPGequgEQ4ro4UGxs5aWLwSNwg0lYismVj42lXc1oUvY+xH845qqqKDrohWPW3Q1Vf/LV1fXTz9T11XdO2LScnJx8LZX0RPPZDFl6eF6jL0NdhdO29/52vt3aoz+pbmqam72MvqUkTRmUyAOX407/4Hk3TUNf1x7IjL8Gp9wHbOxaLJYeHBxwdHcXO0fB8bOOdxyFomTOSYxCxKk6qQJIabK+Qsr/0QUYGFIVWmtGoRCgR9ZmBWIlWe5yVXAj4qJrzufGYLEtQSpMQx694x9PpBe8ePOICh8+T2FyBhBAoyugerqqacZoNjJ2MmYkhHr+u61hOLwjOkuQ5XObMhUDTdTR9z7ve86X9EftpEbPwhED6QBscdfA8OD3ioFnS6xhFZLQhT+Oxarru+bESHiGJgFRnJPkmUsdxpVh3CCvkYHDJ0hSlFH3fR/DqHd4rpDD0Xcey8ngKxOQfs0zKeJ4CF8HxyM9I26dcb97lpn6PLDtkMv8VJxe/odv5KkF3KJ8hpcLSkXjFajbjwQfv8/k//uO463/xQnoxkPiF6VDXVbzzdz8ntA5/R5K6jCt+mzRNEbnA+Bi83dPjljnVuz2zewvSPCWxlg/feZu9l15CmBgr8/c/XCIfJILjztt/h7AWgyJNErwD6Z8HF+dZGVuLQocVNXrUcbGo2NjeZWM0iaAqDNHvSiAygwgZVdXRtA3jzYKLWU3TBZJNQ1mW6xYNrU3Mz5N6DQati7WG+BA7ycuSparpfQumYWNrg6ZpkcqwMZ7Q5w3zeUcTFJubE4zRLG1LulmQjTMMgifvPGD5ZMlEjyjyDKOTdZahC5bOWaqHK+6f3mH/Sy9RXhuRGkdeZKQi4+jOEalNIqiXEpMbyp0x+2/cItspQbqY3RkEPQ61Zbjx5ds8+eVDbNWTJSW9NkjRIr2iFQ1HC48RAmthsexZLkom4xuk2Yj9a5tIroGv0dqTZSlKE2UJIcV5S9M7tBojxascPfs1i7KiLARaawIK7xpsLzi5KNke3yaQcv3VryJksQ69iWHbnyw3mOQJaZZSZAYlPUanaKVxmeHa9StUdUdiCrav7JGlD7iwHXfuH6JMRlACkajotu08CIXksj3ERTbUOqTQSB0IvkNrifVgUQQRN9JpItGZYTQqCW64+Lylr5Y050fMz48YqyXXJ1sou2ArG/PAV3ztrZc5OnjAtIPH6gZB36J/dEZfr4ag9Bx3fh/fL3j/N4/4kz96meOzOQ8ePIZbV1i1HYFAZx1t1zFbLul6T16M6BZiuFddSnE+2fUpGPx0QQhsbWxwdXeb8/Mzdq7ukOcZ2qhhzKnjeOtyLGsNSkpOnj3Du+c1PHEUGMNjL4FX3/frVHuGyh7vY6bWzsaIskwxSYbUlwyFiMyD65lkKaMsI47rIghNE8PFxZTlcrkGgnEM038MWKmopMe5nq7rqKqKuq7J85yiKNYBrS+m8VsbA09XqxWr1QopVGRHEjG8j1+/x2WQq3OWtovArqoqRuMxvnekaUKSpEPuF4QQ89icjPlek8mExWKxZhgvX/sSYC4WC+7e/RBEIM9zRqNRdCYih8YHS59ZlqsTVA276UsYHwO4V6uK4MXAksa8uxjy7NBJzB6Loc5hyHWEUKSYjQm967jftUyf3udbn/k8u0nM/KN3fPTkKT98cAc3LtD5eM3YXDJ/AY/ue7quZXp+xpW9PfJsjFaS4APLecXZs2ckRpMVBfKFWrMwfI/B9py0NT94dJdvv/xZXt7eie7jEKiaih8/vseJb9HjcQwiTmLtVpqkaBPL3UVvI5OEXT/IgtBIFbWSAQEvNCsIBFIIkiQhSZKoGey7AYgJ5rOGs9MVSbFFko/RJkHpEB2F3pB56MMmrr/OQf0aB8vP87L7S0b6Lvb059j0lSi5kB4lJQFLf96Ro3l09y6f+8dfI4jn1WTiY+HyYo0Eg4DjwwMe33tA4hVXV1fZGBWkqURoSWNhsreHItAsp4i+J7UJSWtYzSrQgYf37vIHqwWjze2hWnDYnoXn6DOIOLIWAmzbcPDgIdIJRAV5lmOto+ufb7iMUaSZogqWyta4bsHmTkm/CDx8dERfCWTIUEP3tjAw3lBcub6FTgQrs8DqJc2i4Wa5QZZmGBmZ7hicbEiGzmvnLLIfTD7aY7QhSVLSLOG0m0Pe4UNPYUqkS3n6wQXSpoxHOX3bc3pyyt7+dWrXUO6NMUpz770PsQcdV9Jr5Fk2RNeY9TUeQiD1llwXNM2Shz/7kM9847PoSYpJW8pRgUwDJQU6KLxwuNrSPpjzzsOfc+3Nm9x48xZOeTxuuMYdsky48rlrHN5/zPJiRaZiC5OWGkmLO9lFh22sq1gsZ1hbkpeGQA8hOtVNUpJmGSZJkQhs19O1Dd5dbiwdXZD0fpuT0wkLk5MkBg8o6SnyhqaD3mpGyYSd62/GKJkQJwjxvv7JApE8y9jZHDMqDHW9Ii9zBAJdjNjZ3GV7N+fRk2NOLqacn57y9gdvk117DTXewHpNsBqZpmzt5ExXHV4KlNRc351wNl3Sti62QUmBNoK9vWscHM7QAoQKZKlCS4cOc+zBXQ7u3id0LZlylL7n9rVrjLYVb73yFnc++IDpbMbbp/cRUvCrdw6onGM+voHefRNnA2maUW5tgYDTOx9gqimv3tzi7949xmjF3fsHBC+ZbF1BKhNlF0OA+GrVIHUS21O0xpgRaZZ/gp/+8/UpGPx0xREpgs+8/Ap37n6IlLBcLHDOc1l0jghorTAmJU0zijwCqgj2LNZGkGOlhS6Cq6i/c+ui9eBsdMXaWFWXlyOUMbRNTde39LYj+BhyK6RitL9Pno8j0AiOYBQmSdHacH5+zmw2Y7Va4X2s7omVZc9v4N67yEQIQdPEPK6yHJEmSdR/qBdGTwNrZ0xkIqbTKYvlnLqucS7q9V4Ej+suz6GfsmkayrJkPNqgOWnIR+OoU1EyAg8v1p9JIJBnBUrpNRPprMUN7MfZ2RkHB08pynxdMaW1Xo/K1qA8syRZSz0/4XjquLb9GrQjnGsIwQ/xN/H1e9fT2hWbV7Ko51QxpDeOvj2FVpjMgFOgE2ZtzU8f3uWff/7LbOQ5vz69z988/hC7UWKKEm1SlDZRWH05BsbHkGolaauK8+Mj5BWPktH88uzwgNQY0uHfC63WWjCI50zQmkwqOlnzg6e/YbL1h7xUbDHvWn754Uec0qNGYxIda6WQEusdTdugrIptNGGogGMokx9YWWstwUd+Gh/Wfx8GTWk7tA3EdodA8ILTkxnTaUu5sUuSl9EdrCRSpHGDJOL7KNcS+gynFFWa8eCiYGv1b7FhTrs4IdSbGN0iVRzvFyKjryvm5xf0fYc2sDifcnj/I54dHbFaLFBKsbN7hb3bt7l6/SamyDk5PEb0jp3NLcajjCzTpNpw+GzKzS98nq/9s+8QGsevf/w3LJ49QfU2XsMOlk1Dv1iyWi4YTTap5nMOHz3g6PETFos5hMDG1hZ712+w/8or5OWY1bKiXizxXcckHVOWBauqxvl4Xcf7g0LrlM7P6Nyc0MDJgwZjM0Zmhw0zQsk0drESN4P9xYonFzPyLUW5tUmSL1hdLDHJ7rrdRA2jYK00aZaQpilt28bNn3TRcCRFdGgnmqo9Y/NKhg4FZ4976vOWlBHlRoZOe6yxNI3k5OSYWlVs5rucH56xOliwl10jz1LS1CBNEgHZC3V7ykvQllTmUFvu//wDPvPNL8Tcw0yRlRm5ylFonIjyEdEa+pXl8Jf3mD85hSyaT/KNAr2R0PqWZbskuzZi56USY1JIFNqDn1akF59Bh5qAZTRuWVWervf0vcdrQVAC3zusaPB9F+tAncD2cexpbaBpPMtVQKs9JjtjUq2QetCCWoXtlmRJT9U5Xrv+WbQZx+v4MlWbT3pMDCDp5TbLkNCRYP0GvdU0lefxRzW/uHuXo2dn7O8vOb2wrM4f8/D9n5COr5CUJdlkh2x8lbC7R7JxFRdabNfxeHaA90NIfAgQPFJ5lsf36auKvl7SLs7pFicszo6o51NS4Nt/8qcsfcWV7asIa5B1w+m04f965wO2t/fpvOG1L/wpF4sZ711MSXZfYfP2l7FZwTgfYTZygk84vfs+yyfv8fKGYndnzJe+8BbjUcHDp4e8tjeJUTSJiZt1F7vel1WNSRLKImHn1j4QMGb0CX/+cX0KBv+hrhe3e0P46euvvYb9i46zZydkeQzrTNNsyK6KD+u2qalWS9I0pSxLqtWKrIi76cveyxfHtcAaEPYuPpD7riFNTGTA5jOkiKOLNMniODF4ut7RNS1928YwW21QSYHScZdXZRXn5+dsbGyQZTmJST9WvXQZbtx2DcvlkiRJKMsReZbHTlQRIw0uNYNKqdiXOoyOvfecn5+TZZGZi6HBQ00a4KzDusgkVlWFEILxeEyapciJJ8vNUDIeq7ue69AC3mu0DoxHE5arOWkaAa4QPYvFgqdPnzAaF4xGo2Fclg6u7oE9DQ7v48946dquZxecLx6zW76EtVGEbp3H256u72n6iqBbtq7sxBH58Fk55+jFoKcxCZiAaS2mb5kvZ9x7+hC3e5W7Dz9CGY3KckQSO4S1UngtY4zQOtIlUNU1bbVESMnpyXFsuwg+Mk22Q7uENM8RJkZiXJ4zwntckAQJKR63XHDn4T3Kmy9zMDvnZHZOMioQOkEYjR7Oy9721N4OAnqPdYNxyEe20TuHdz1912BtgrN26Au+BIKXxzKsg5StsyymNdNZRVZsk5bj2I1rDFIppIwxIAQ9sFSCVscw5axJ6DcNx9aTMmdje8zR8ZzKS6SCBNhOU6q+om8rmsWcO796h7d/8mO61QolAkrEY/3Ig9eSveu3+Np3/il2VVHmGaOyIEtSUhXZ+2lT8ZUbt9ncvIazHZs7O3SnJyAlmJ4+eIxzdE2FXVXc+cXP+dn3vsfq4iyOb4d7weMQeBvB1t4eX/n6N9m6dgXXtyijYgjxQCD+bjWmpG4W9H2FsgUTdYVRsU2qM7QyKBlz9AIhOv99EY/bxZLzxQW5GTGVS563WMeH9+W7XIL2F5e4/LIQ2czetWRhm4uHLSpM2DBjUq1JM4s0EqQmGzqjCQHbdZw9PWFTbFEmI1Ri0Jff7yBzASKr7iXBS4QX4APL1SnzgzOy/RKpNMoEtDfoEGs158szlqslWigm6SaykoRK0Iee+skzet0jdhI2b+5QlhkmNUidooRg+eSc47sHfOFGPM+CT7BJQZ52LFcVqyo6WefLC5RYkCQ1UrYIAVqWaLMLjKkbx9l0Sp5mjEcJqUnQmthXjoTg6PoJOmtZ1IH9V/8Agoxa57WL2HEZuv3JLIHbeJPu+gZLa6nb9xB9jkqvcF495OCjBR8d9Vy//XmOm54pY/JbX0ZVgW52QHW4xAvB3pvfYnzts3zzT7/KL3/6t/ziu/+S2dMHg0QmPuDCcA+KwNAO/5ekaYELCiUNN155lVuvf4XZ2QX7e9f44DfvczJ9xpf/8DvM80fU2QatSvhIb1KPxujdz5JvjpHjEcVog3wzJR8bzu6dcX73PcaqQ+N5cO8u+zduE4KnbRpSvQFYssQQfLw/BTx1VZOmGeNRytXdq/G8F8Un9Nl/fH0KBv+hrt8R+kGeZrz5xpt8cPcu5Xg8iLcVSBlDjAcGpe86mqaJJ3HwVKsKpeKpdMmyxTEkw8PYDyn/djBBtCSJoVqtoltw0KZdAjlPILM9XVtzcnI8GCwERqcURU4IgeVyxc7ODkVexqxB/byXE4YicO8wXRw1VVWFtXGEWtUrvI9g9cVUdyU1RZGTZil1XTMejymKgjTJPqZPDLzIJCYYk7BcLmjbFpMk7OxvIc0AcNMogu/7DpoYIHvJYG5ubbJczVmtVgip8B4eP35MnqfxfdM0HgNtkFIhlEQNN3EbPNJGM4ZHElxgPnuGESWF3kBcHqu+p2pr5vU5+69ukZfpOh/OGBML7wGlExKd4PuKMJtxpQ/slruouufw6VNenuxyxTlOvOXCBzqtkFqjjcaIqKlsqxXnJ8/wtqMsRsgkwQ+aQUEMGbZ9R9+0LN2UzStXSUyCHMbAbmBIhW/Zcoor5S5lUBw9eYwDPrdxhYu+56J39FkGicEjsF2Hl9FJ6Ibzzzq7HsHbziKE59at6xwdn5H1FmMtTmmE7deXgpNueGg4+jZwcHhGmo5JimimMckgKlcJCh0z6IhZbMEJhIwOUhEcMpT0m68zPz+kOl+S5jk6yVFak3qPNookMTSrFf/uX/6fnDx6QqkVk8zE/Muh99cNUSoXTx7x//7v/xtFWVIUGUmiY/OP1mhj2Nkq+eC9n7Oxfw1NT3V+gdYGJyzaSoxPyBKLqxv+9q/+kqODA3IpmGRR8jHkFON8oPee1ckz/vr//le8/MYbBEIcLXrParWit24tD4k1aRbbdUwv5khnmIz22Uy3yZJ8YKH1cD8Y7AghoJyNMS1Ks+wU8/khwkraykXw7n0sCPIea3va9rKr9znD61wYoq4sXd3hekF9njBJtgaXfRGjmkwbS5OQiODIspy0q1ieznBVT6FLtEriWFrGznVjNNrE691ZT99L8PEYW5NQ9EUEg9fGgEJKR2oycHBy/IS2bRnnOUmSoZSJrP6QWuC9pWlbFsdLbNKQf3YHVWqkzKmPznn2wQljkVO176LlEikKtLyCScc4P+LxwQmHhx+xs7Vid7snSS1Gxc/XOUfV3Ke3V5jNNjBmi/Ekw5gG787oujmBFoRGkiL1FmW2zebVV9i99vJwJXyyRoXfXlLlUIzRAYp2j7a33HrjVf741pf583/9Q7auXOesApPtUF6/AVqz89lv4ldnLC+eUR0/44tf+iqvfPNLjHYm7L18kz/4Z/8F3/3zPyNYP0T0xRYrpIrZuTojLUbIdMTo6m3G115i49o1rr50nbNcY29U3O88/ivXuJaOucgnZNc+i7UW0zm6rgPnyExKphM2Rxl1CMiQUJ/WHN95nzRccONGwZVMcvfOAYjAYrXixtUtgu8RwZEootGpt0gCXV1TjsZkA4kAARsuld+f7Lj+UzD46VqfYULAn3z96xydnqLTBDOwP0K9OHr1MaBXSapljdIJi0v9XggE7wdgF58ul8yM7XvarqNarAYGJ1CWBWmaDcn5HzeCeCUpdEKZpM/Zwq5jsVhQNxVZllIUJVmaPx+jDiDruRHDrxkJ5xynp6cYnZAXWdRE6uei9Msx4mK54GJ6gZSSoihiTZ9O11/722aVqJmL46/ZbEbTNNGVakakSTQMGGOGkdrzaIDIRkomkzHPnj1DSMFiNsP5nizfGIB4FNArNRTOK4kKGida8GEAWSHGqWQZXdMzXZ3iE4UIHhssdbtk0UxJRgGRlNRNHENcFtv3fRTjJxIMntXBEW/oEXtbE9I0RxsdK5e8Z+Ick67lWddy3DtcmiCkIgGC9RwePEWEQD4ao9IMqWNO5TAlxocwOHkNXb1ieXbC/s1bA8AWeKmgb7jSwV4+Ji0SUqliLEeADd+z3bSctg1PFyvY3QLvcX2PVRpJzPMTViBt1K76tsc2PeMk5ZXrY04P7+OaBG+StU7PDq0eQqrBReuYXrR4rzFZEVlhHavkImMU9Wzx+44PGyck2rm1/s75QJIWtPkGAkU52UaZBCkVibcoqUiU5mK+oHv4iFGekxkTZQ08l1kkRhNIULqnXSz5zb2PuHr1ajTWSI2UoIXg1eu3aauK4x/9gPG4RLcNWmmEV4AbHOcS5z1HDx8wHpy6z9mvqFlVWsWSOulQfcODd96J54eI6ctN0w5gO+rerLP0Nnb7FklJ6raYZJukSY5MElrREvQMkbQDIxUQNkO7EdobhFCMgwLvaXNLnhW0XUfvO6SLDvPeDqD7hamDs33UzTqLsx15klOabUZ6izybkOkMkQR6NSczGi1NNM8Lg1EOIxJmZ3O0jxl9DABcyHhv04khL5IoAaljrZzzEukEUgkSaVgtl7gBGCspSHXCwfkhTVdTlOPYPKNTpNQv3DcM1luk1OhWcv50xnwyYv/zNwhd4MFvDslDxigTjMtzlJgP0oUDun6HZ6cT5vNDbu433NjrGRcBkwq0jOdi8Jq29yzrI5p2iZIZoW+ou48osiVZ2sVzF0/vAm2X0rnrvP65/wovDCKj92YAACAASURBVL8bXqJ+50/+/14qUaSjAu96mjzHhZbaOz7/8j7/zT//Bv/zX/wKK0dsXt1nY3MbNDQ+pZgkjLcE7/7Fv+Hp3fewWykmK/m7//hvuf7663z7v/8faDtJu6rpqwbX9jgbZSRSakw2IdncZPvV21z77A4bNzLSXIGKn6VdCeaHMHvW0yxnjErB7PwMa2uC7zFCEuhprUcrgXKOvmo4unOX2YOPuLWpGWtPqnquXtkmzXOm8xWFCUxn57i2IbiauqlomgWWlKVzpONtCJ75qonhuTqQj0Qc3X+CcPBTMPjp+tjav7bHrZvXOZvO0UYPo1H5MdD0XGsXM/lcLzk5Oqbf2iYrI4BQUqGQsZ7M9XFcu5gjvCDNMop8RJqlpGmyfsh+DGhZRZbmFFk+7KgDWeoGfZWmqlYYo4d/b/5eZ3E0flhWqxV5njEebZCkcef/otP5kulLkmRtIrkcHetByP7bX7/+vQjMFzOyLKMsS46OjgghUOQlt27dZmtra/36l99bHGGCETkJORcHU3rXsXllaw1u1TACjKBQxwe11AgvES6O/mTwKB8ZIpMqZvMpdd0RsATVoxJPsukRCg6ODvAe0iRhb2+PGzduxNGu98zmMw7u3uWKMmxtTMjHIzKVIFQ0m8gQ8xRlksb4g+NDLo4trRCoADoEbN+hsxSZaGQ6sL1CDoXsAeU9wcVw7g5Yzefc//AO0VUASkgmQvDa9nXG5ZhkyCkEFf3M1mJMQmckBydHHN4/p+Qm+/l1gnIxfiEMTmvf41pH28wRs1+Srn5C8+CMl23J4ezbNDrHS0mGxoSYSSlElAGEELi4WJBm48G4oFHaIGVsEFm7WyVAjAyRUiFEDwSCj+DdJIYsL1iuKtKseA4GQ8y6jHVWccx/MZ8jQxj+/PmmQwjQWpMXRTTaEFCDVk5KhxAJUiS4piW5e4/68SGr1LDxxTdIrt+kFbGeTAmPFEQQmiQkaUrTdFQDW/3idSOVoswzEpPiEgF9i5Ex/7Pr2mGMHiv6bNfQVA1bG9vs7YCbFyRJRi8qzvuPKHcTyo0MkwqkUkP+5Qq7WlKvNLrdQpGTijHbYpfXbl7nwcVd0ixHA7XoSQcm/kUw2Nuerq9pupqqanjt9hvM7z1glBToxOBMT5+eYkYWnWwj2wThB/e4kxhpsK3DiAEAipiHeamRVkqSpTGxoO/m60DyeLnHX1sfN7nedpRihHees+kpk7IkT3OMSdabuUuuzRHAK5SM4+RxcBy9/4Trr99kcXhOf95SFhOMCWyOTcwP9IbWNiyaY5bLp1zbU9y47tkYBfJEkxiFFtG4ErwgSQTaOKSsOT17D4Fld8dTZElkPJVABEnviSkIQXHl1usfd7D/HlezmjN78gDbO6RrcF3L7PBDDg9G/PQ//Bu+9ZVv8aO7U04f3efk8QFZWkCRkBYl05FmPN5iWlxhv7jC4dmCK69+jc9+648Y3bzK+UFgejxldXZGPb2gXc7p6y66sQpDfvUq197cY/+tFK8tAkcYQlwsktW8pp7W+KbmrFnS9x1Bgk41SoCWAqNgeXGOykecHj9j+ugutGdc2dxjnAhW5w/J04QsScA7nh085ca1LVKj8NbGa6huWaLZfeMPuba7RVM3LM9OSLQhK9Xv5Zh8CgY/XR9fIfCFtz7Lj37286gLG4wW8a/Cx3SBwTlcouhqgcwmPHi2ICsdZaZJNbH9wglWnWdRdUzylEx7dBJHZEZnaBkLw1/U6MRYkOjuTJN0/d7e+zVDJgQsl0tG5XhwHOo1YPvtGJjTszO01ozHY/IsH8DVb8XeDD+bUhHIAsznc0blaO08/m0m8fLfzuZTnHOMRqO1ftEOppp79z+iPC7Z3NqkWlVUVRUNCsETHFTLHuVKNostnl0ckeh8yG8bQMHAdmodXcCZ1nSdpLUOg2OlQLkhrFqDSDu8cmgjyMpBEC/j6wQftZB933Fw+JRnJ8fs7+/jnGO+mJOVI059x0+nx3zeSF7fmpAogxoYsLrr+ODpAz6YPsOmKSrNGCmDEBJHIPMO1/fUi4oiKLKNFKl1BFnEcd5yVbGczlBSUow3Yii1kEDsAF7Yjh+dPuGLbp+3rt3AGMNgdcFqyeF0ztvPnrJyDrJsEMnX8X2I0R3e2Vgj13ToxQfccj9kv3yClj17vmKr/zH3Fp6at/B+TOJTtIuueUTMKuxaS5rHaCA5BFJLeckKaoxWGB2/L+egR0TjindrdkmqWMdn/QKpovlJSoUe9I2BQNM2TKczRmXJeFSSm+csN8RMPes8y+WSpuvW5x+A9LHA/ryacf7jn3H79JxrJiWsVpz84Kdk30rodjexlz198UyPetiLC6TUZMlwLQzstvPReFRVFeDROsOLKN2IRp0aHyTW9XR9R72oOH50ws/u3OFq8RLjUrPoLuiTM/ZeGlFOStI0jseVEjFRwAXaoqMpO+rzGDOU2wwrS376H96nK85RX8rQARJhwGTrewNErWzbWbq2Znmx4MH7Rzxq5lwtbqNMjjU1cjSj3AnkxZikNrguAjlE7CKXqMsyl0E/6hBBw9pM5mmaZq2r9S+YkkTwuOAJWuB7S2gchcg5PDrAJPE4G325SR02clINjLFHOoENIjI+OqftWw7vHmIvKgqRD8YzR5lqjJEEG/8/XTQkesne9ibjTJAnijRJSYfNd5AQXId2XYxXKTx93yCkZDRS5CbEe58EvMIFT6MN1298myS5FnWC/wmWYcXe+JjdzTGTcUGiR4yKHG1avv/973LxV99l9Nq3OJl2UcoRZGS8tUIkhlRFJ/Xf/PBniDQl39nmvZ9+iPvhHWzb4toW21S4tsXbIXpKJ+SMqJ+dcvBBgcx3ufJSGjXpOOgTZscLimbFRunINwMTU1LqMePMsFlmjHOJEYJ02Lg3PvDvf/CUv67P2NnJyVKJ63tOnh2RlSXJ+TnPHpzw0Z077G1/henFBSenJcE3UcdMyysv3+SV/S02N8YYt0tdrciLTw0kn67/ROv2zZv8+jcfUvVddNcO3ZfW2sFpOejetEalOb3qOb6ocWYLENA6+t6DcLigaH2KUyVn85qtUc92alA6RswpLdcM3PPWEksHa3ZFINYMVgRgsXZpPp/TtDV5XqzHnlrr5+zBOs+vYjKZkGXZ+n0u9YUvjpUj0xLjWy7dkrP5PFZiab1uQghDfA5EE8pyuSTPc7IsI01SgrnULPasViueHjzh+NkRWZY9B60ogvTkhcQrgRYavRLRJSncczAIa7bC6BTTTDn4y7+muv8Ybl1j/AdfRSgTH25CgnAkhWEyzqPzWr04popgxbrIjM5mMz766C5JmmKdRpYjZHDUbcs7x4eUZsTrV/Zi1VXX86uHH/DO9Bg2RiRJjtLJGlCbQHxAJg7ftrSLJcYYNnd3YoK+95zNZiynF6Rphk5ShDFr1pkQkMEhXI5rW94+O4JE84c3XyZVEucD9y/O+NunD2jShKQco4xBiKg9jePNGATsXIdvppj6Dq/7H3E9O8NoQSIkTgQS95Ss/QF3zxuq4i18sYVK1DpkuO0t3oUhFmgQ0w3HI54zCq0leS6IxgmPc7G4PpbYP/96IeXajWlMZBeTIOlDYFU3zOcLNjYmTMqSIk1jFaGKcT2CyIjb4Em0wSiFHTvCoNezCGSAo4OnjM4u2BGC7b1dfN/RHZ2yOD5Fbk2QbthMBaLD3DnKPI0xKkpFd/Slozt4nPc0SULT1KyqFUEJbPD0Lmp+nYfOdrR1w7PHZzx8/xDTb2BGKa2rWXLE9ZdGlFsT8jyLTTtSo6SGILHBopyJLmG/YHbwLuG4I1MZIhScP61RyRPCZ64y8Tk29cP1OtTROUfTdlSzOY/vHFOdCrbycQTepoXynHI3JRvl5EkKjcb6SzAXW4wu7yXeO3rf44IbciWfZ4HGYGAGnWLUMsYIEEfvLLJQ2KYjbVLwgenygqLI0SoZusX1+r6htUYQ2XO6IbheC6Q2JDrl/OEzjJdkMhukJ4EkLTGmAmUJTjCftZSFpMwgMRJtJIlWMRzeFPG+1XeIboXXK1IdyJOEvg+MjCZJBCQFIewiRE8SLhCmYPv2d/BDFFNA/56JwcCtq1tMzA0yoxA6MvF4Qd91ZHnGxekJo1SxcW0j6lTbnr7zuDZ2ZLehRfge6QX9Cqr5s9gr7kDE8FoYYs+EFAhJ3Px0O0gBeaoJo8BmusntvYztICmxqJspbEPfVPRdxWqxZDqdc/HknLvTC+qmpqlqbN8xLku++e1v8y++9gbv/Ood8jRDyMCqrqhWC3Z2d/BdxXf/6t8zzlI2NzfRJqHrXDRLWo+Uni/e3OTlGzucnxzTVyvyfERZjn8vR+JTMPjp+q0VSLTmtZdf4r17H6G1pizi6KWqqjUQugQBUspoSEgNWW7YzDyliQ8YIWKQdNdblm3PTGqMcnFEIpLodFy3lhhGoxFCCFarFa636xvppVP1kpWE+NDKsozlcsnW5s4aUOZ5Hh8WTYNzjul0SpqmL4TY6vX7/XbO4DqWhkDqU/q+H6Jr/PrfZFm2ziP0PjI2wMdCci/Zm9m85uzsjKIoKMvyY9rGy8/aWovtBxfZODpZ8c8B6sfaVGbn/OLP/hfK995lLAOLX0lOHz5l8l//l7GGzwlE0OTJCKMzUpNGjZ6EIVQuOur6ltlshlKK0Sg2eEx7MF1HCA4vFJ0U/O3Rfa7sTLi9eZUfv/s271wcwuaENCvQQ3gzOo4hpY+F9s7FcyNIwWI2ZXd7i63NEYvZlPPTZ9FIkWVxZLr+LAbuzzukc2gh6CS8ffyY65vbfO7GbY6Xc37x6B5tmmLyHGkSzAC0ZtM5QsZhskBAe8KV1fd5rbjP1WJBnsj4/coCg0e7nkwcUfA9Ppg/4OniH0G2FwO0paTtLYRxNJMMR0qI8Hx0S8wY1IMFV8nLKEDBZcT35ehbDr9TA7srpUYjmLcdxycnFEXBZDRmlEWGR2s16CyH1woBHTxGKrSUgGJV1/R9j9EdWgqaxiKVpLWWej7HOU8tHT6VKOuHVhZP1/cEKSjznCKLYyul1OBcfoEh9x4pLVqCRDNbLeiajqZuCNNpfL2+pa17Ht09pJk7inGsYJsun7L/ZslkMiHPMtIkGpWU1sPPFF233gkEluWvfkL+ve9S9B2VKBnvfxG793lOH5/ThYbtaxtsTCbrjZj3jq7rmc0vmB1X+PmIW7u3sF0b8yjNktEmZGVCkuakJqXxUStmB+BnvaVzcRNntKQxDVnaYYc2pUvW1toXtNIDiO6dpbcdjW3IRyX1omKn36HrWzrXsiE3UCL+rEpEzaPWCutaLqbnzJdLbN/FLMlLplkKulmFNympSRBohLCk+QZGBVANbVszX/SkqUEbkNq/ADgn6HwPJRVddUrwLdIplHYYLbC2QypF41Os/wab1/4Fzs/pp/8PxfgWuvwc4BGDK/v3vZJUUY62h95kR2drEA4o2NnJ2WiuM7r5CrJaxlid3KF8iL33zjPsmmIOpbT42mKDhy7qSYP3ePzAjgvwxDzGbsHtzX3+6X92k1EiWN4/4Gf/8SMe/PL7VLNTLmZzmlXFarmkbSt6a6nbHmMMvu/I0oRyNEJIyFPDD374ff7HP/tf2RqnMUi6j2ah7c0J3vYE1fLW66/x2TfeZG9vn63tXTY3t2iso2stfee51i3Y0B58TIpomo7T01Nu3N7hk54VfwoGP10fX0IgguCV27e59+QREMGRIrBVliw8tHUzXFjxvwTLlRI2x5Lru9vs7G4zW6yYLpa4EMeHedeRm5audWumRLz4tB1+/1yH9zzuhcDH9HYxg0yv3bDW9kC2joiJIDWO8Ko6xuBEU4seRq6R2YkP5+ftIsCagbwEf5fh2UVRrMe18WOKP8NiMXsBZJqBwZNUVc3x0TFpljEu46js8utibiNxbKQD1vRx9K0Cdd1gXdQTBk90Sw5g8PCje9j33mGnSNja2iE9v+Dxe+9hv/NP8L6gOVOIZoOmNfQXDmUqyo2czSslOrkcnztOTp9hrWU0Gg9hzYZUBrSJrSaXGrOl7Xn/5JD9jU1+9fQ+rsjJkwylkqihMyqOtIemAh9iobsXIEOCdI6L8xNuXLvCvZNjlDHoJEWZNP5airVmDmJGmpcCCyjirv/dw8d8/vXXef/eU85ch87HSBMr8JSU6LRkd+8VvHPgHSZ4+sfvsS/eZsvEEY42kiTZQpsUfEfbLwjUbIQ5r3Vv49RbrLa/HpluY2iqirPTc1yQQ0evg+AQPuC8GNhVqJt4HDsbHb8hDNmTQ6ZZCNHdDA4tPHY1pW7miH7FyekJPnjKIidPo5bLGIWWaogRUmvmSvrYH0MQZKmn61varl9rF7Nxyfk458HFnP5ihhOC+ZVNxle2abyjdy42aNQNuUnIE0NqTLwG1PB+4rkLX3o3iNVTXBrIupRlXSNXK6qz89gtPBoxHgkurs85qM9BCtpuiTcrRpu7GFOQDP3F6xYRFTWP1nl8lxCWZ3Q//QnXk4z0pduUJyf0R+8zeuMrlK/ehGTFcj5nMbtAm/h9+uCxvSPNEq7e3EXvTBALzby3BGmRRUtSRKlGYiQqUdTMOeUca3pcFvAjidzQbBfb1NMVq3ZB3uVoafCqxwuPDmoILhd4Bse067Cdpe4aGt1S6BK1irfBlWtxwsdayeEaCgJa13Dw+AnVchHvrTKa63zwuK6lsqvIWA5maw8IDy4IkuwqOhnjmmNU2+N9ZJoRAREkMgybHwxKRrMLA5Mt1rsYh/AS6zN+8UHLq1/9Ci9f/wadW3FaHzC69nWCMMM1HC4vxd/r8r6lqi5Q2NiVLSXOxx6dW/t7rDY32b5+lYN7C1yZ0ztH6wQIjRjuka63IEBLjxcW4XqE8fhgY6wVIeYNXsosgsAjOT494f/4V/+OIDNMlmOPPuQ33/tLytAisLgQkCJGIzlvMUrhbUsIFiHTGDMlAlJpnj59SrNcMCoSpnVDAFxf8fJLtzk9O6PIM77+jW+wvbXJaBLDwrVJyFWMubK9I0sFiYn3RDkkdHh/+az9ZNenYPDT9Vsr3g2KImf/6h4Pnz7l/p27fOebf8IrL91mtqj46S//jraPjlZcbEzY2RxTpBl/9Id/xM39fU7Ozvnhz39G2/fx4Tl0wJ6fRzeiD349hrl08q5Wq5gbN7SWKKUoi5IQQoyyuQwIdm49rgNou4YyjLDWvsBeOvouBi4XRTGwLXL4dyJGTqSGNMnx3q+ZxMvR8Yt1enVds7GxEWNaqmoNzrx3dH1HnufIy9fXMVj2+P49lJaMRiPyLCNJntfnXYZ4hxBQLqDc5QN5yHJsmxeyB+2aabxYXCC8wAVJ74Dh85gd1Sx7T5ZsMRnFUXTwgd5blmcrpufH3HrtKuPNnOnsnLquKcty0DdGbVOGI0m6OFrxEIJGJykPjp/x465n1reY0XZkeIxex8okWqOlwntP5z3CBhw6PtW0Yzmdc/DwMWfHJ2STcQRxWqCUGJolIoD2wdNbh7V9BMEhoJKeg9k5v3n6mA8eP0AmMRZHaY0edHtZoshTRdc5gg9ID75vyJXCyA4lNanMSdMCPb6B7ebIZQtdRy8cuVRo0ZFmiiCidKHIMk5ci+wbXMiQXmBDNLEkocd5ExkKH6UCsZ/ar1tk/NC0E7wnWEfoGx7feweERytJStSxXh0XFKnBXPYjK4keepKVjlVo3lmcs4M5RpKE2G6zWtX0TYsUkt2tHdpbt7lXnHFYtWxvb3PtM6/RKIProtFj1VY478gSMzCQ0UWrlRrYYzVE2TjivivgvcIYS5YlrOaxQ3r7yjbWwaruMEaQTwTFDvhVz6KaM7qeohI9yD/MMFLXUSOcmBhB1HW4YFn2LQsl2Pjv/lv2v/BlFr95n6f/05/j1Yy9W68R5IiqnqClITXJsGkItH1PcJCXBmFh2k9xc4WnI8kCyqho+lIJWikW9QK/qdBjg0li1JEMsBk26VrL8mDG7P4UFUV3BJPilUZKS9wKB6y39L2nqytmbk56o6A1Fp0qLjjHd5LyakG9quim0aGvpGBVRwnDqByRmCyCQeLn67ylsx110+B6R2IMrrN43+OCHY6PHNpCQGtJ34P1Hhui5s/6DunmUAcEGttXOBs7ov8/9t48VrKzPPf9fd+3php37am7d7e7291tt+02xsY2NiRACJhch5D4cA43lkAJEoMSklxd0A0ghIICf4Rwo0iHXEQIMiCMQgYCxHCSYEISIGBsY2M8YLvdbvc87KnmqjV9w/3jW7W7DTnncqUQ0DksyVZ3712rVlWtWuv93vd5fo92UBqFCSyTzLKx2mVu9SSD0RqqGBNFK8TtfT5pRDic/FH3nv7tzWqB1T4gAAnaaRAKhOXAFVdy9IkRX77zDqZnnmB+5RKW9l6Bai3QXtmLCGoUpY/SLI3BWo0UGllKrCuxWlQLM1MVu77qLq2jPd9h2Ntg3B/imNKcX6S+dAn1uWUYnUdri6CSEzi9hVcKZIAIQsIootlskk4nXseal3S7XRqNBv2spN1ucObUYZIdKzgc23eusNBp06wnzLUbtNtz1GqNSnog0aWDep04igglyDDAWYsIwuo8/Cla5qfbf/TmJ1wcuPRSHn/iCc6ePYtCIoX0ZgJrMaXGFiXKWmphSKwUvc0NZtFeKvA5pk6ANQpVpWfEsR+/ehCw2SrAiqLY6v55dIS/0YZRiLPOc52+/zCF79DpUlfdQZ61j4v1jYhnMwX94wVRFKL1BY3ev/VmzPYFnnV2ITbOPMtI4rVvlskkZzQe05prE0XxFhD7YpOLqIpBI93W8UU2ol6vMxqNyPOs6nKyVQy2t23n6ZVt1M6uM52eZ4Skv+cgSd5irrlIkjQIlEIq73C11pGUDab5iDNPr7Pniu30ej2vbYxjoiptRQUBsZPEYUiBRRvvVJUqYGpTHjx2BBcnF8DXUiKUJApCGlHkdUnWMM5znDU4ofzrCgKsc5w6fcqvdIXX+AnhHZZRGNKIE5IwpDCaSZ57E4aySCuxMqCQgoeeOcKoLAlrNZ8zXEVLRWGAKcacP71OIBTgOy5hfScny5uJeJJIpFjh81qFA+ECSgIMAUPd5gj76Ik5yv4ZvxBAYpwgiRw6n2LHFqZ9VHMO15pHixoO5VNvtK24hO4C07Bi4Vlt0GWB1VPaTUVccxXUPCK0gsniAjHOF4GzBUhVOIVx7DviwuumfKKPRkqPdQqCABmEpAh0nlOLYMfKDsy2bSgEtSAgVWB0ji41WVFinUIFF3iePrlDeU5kFBGEEUIIijyHwo/fZHVu+mOKUEGdSNVIogAnHHmREkZ1osYAU2TkuWI+SqpRt9z6TgjhmZv1er16f0pKqYjmtyOvfC5zz72Wxsol2Cgmvep+wt1tD6+WAfPtFqFKcFbgDCAdjRqUxpJlPYx1hPMSu1ZinUYpV+ktJTOriNMWbXIWLtkOoSNy3tVsMMTW+HjKIKB3YpPIZkij/JTSOaRTxC5CWUVaFhRhRuvSOTpLbRbadYJY0R9O6Z4ZoTON0BCqyEszENQqWcl0MiVsJ9QSH+HoFw3GF/9KIVIYdoeeWxfF5KM+6WQdU4xw5QQomWvHnFvLyPKQeuIoQ3z+dj7FmQLhZNXBzCmMpiwdZVkSRwFh7GjVHU88/Hk2u8/wnEvnOXDdq0E2qk62wwn3YykGRbUwdEBp/bldq3doNOa4/oVX8tn7/oLhiWME000KMyYIpgzGKacLi4vbRHML1NpL1BodwnoLETaQKsIEIQLQpb/XzPBJs/NSW8fBa67j8Qfvh7xAp2PKYJF9L3gVR/7lr1CmW923qrjVqpjcQnIJiOOIIs+2sE2j0YQwDKnVEqJAMR4OaDUu57IDl9Fut+nMd5hrNmjUE1qtNkk9rq4dAq0NURT6THgcSnoyghPVNOpH/Dn8tBj86fas7eITbq7VYueOHXznOw/xr/feQ3/UpyhLxsMhZTalVW+QzHXQWrM56NPtbnLPPfdw+WX72ewPcAKCKMJoA0IQ4NM8BoMBZVl6UbX0Rd/F6BWfZGG2tHmzMfHF2cBwIZXAj57KqiN4QedjZp0aa6vrnS8ql5YXmJ+fZzAYME2nfmRw0b4v1us5Z71j1Ja40lY5vA5bxQfNft+bWvzjjz19mkD5PNUw8F20mRt5C4EjZyy52T4stuIRKqVI09T/HsLjUqxFNudo3voKTtx7H8FogljYhdp9PbXmArWkWY3DZQUrFVhbEkqJEgo7NZw4cg4b5bQ69a3u0wxZEzp/fMpojLBVpS2xQjDWOUmt7kXXwpsNvB5KUosiOq0WaZFTaE0pFMYLCLHS4JRgOJwQJTWsAid9LrUUgkBK6nHMXKPBNMsotaa4GOEhBVZJznU3sJUwb1ZcSOm7aLUoYC6sGHFIDODql9MvdvG9dD95eS+XBWsExQZ2mONcQa41R9O9PKGvZtq6grjWIAkaKCVQOLSAOFak3R5xKZiLBaLseb7Y/AomBPd9TnR//nqN0AyebcoJQmY06jFh7Dt+UikCZ7n++c/n2EPf8YVLVfBL4cfmYRhSr/Sz0/EYpzVGGIQSnnMnJPVWi2tf+DN89/77GQ/6RJEiCCNsFDLBYosCU5Ro45jbsYtLDxzgu9/81y0ZhhD455OKKIqpNRr+tVgPiBdIpNQo4cuqKIrZsf0ARx/sE8aSeiekvVhj+9I2rMk5O+5RGIFzSZXsYpl11Wbf6dnizDpwSJxQiIP7Obe5CbWIwbCPvnwfrtJ4hrLJ+HzBpNcjzzw2RUhHlCiai3VanSapzSlViYgNpS1wrko5mX0fHcQyorvWIzkQIpshykmfv+wcptCMRB/VCWnGiyRhjAyFP/e0wUw1eS8n7Q+RdcH2gysENUEjCLh6/wGaUcjDDz/NyWMnaakmSaOGDOIKQSM8wFznFEXOYLgJwjE/t1B9p1WFrPHZ3aawpPmYOmXxBgAAIABJREFUaTRBlwPyrAemB9qgTcbiQsKxkwNGo4hGLIiCyv9rBUaXIAzOQmmgzEPy1FCkJY0kJBJw9ZU7+N7pecrUkdkF6vNXgwu8QxqBdOLH0hrURmJlQrPZodlaJK7VkTIBBKEZsXruFFYPKaQhdIYoFFx6yWKVLKWwdsxg7TyTNCXNS+/Urs4vo2q42fvrIIrr1OpNRFRjsnEcNTlHK4aUhKK0BDqntf0gO2/8Bc7eexeBm3qNsFI4ZwiCAGN81zYMQ8bjCQBl6ZsEk8mEubkWw0ITBQadp6RpxnCasXv/FZ5oUYuxRjOdTDBlgb9WU2W9e7yUxJ+DSiiEjP5DPoefFoM/3X5gm7WjFYJrDh3i8JGnyHXJcDTEOjh75gy7V1ZYnO9QT2oUZQESJtu2MZ1M6A/6WOeo1ete31Hx14yz1Go1xuMx0/HEdwqrcZq5KD3EWYs1HjKdTtNnmyiMedafZwVkWZgLXTZ4VhG45QQ0fhR91aGDzM/PkWUZvV4PgXrW/mb7910Mz4Qry7JyG8/0bd5BKqV3WWttMIFBaYUrQqLEd9J8dBlbY+cwDCsxPJRaUzKLqDNb4+kwDP1xCV+kRsZU2i7o7N3PwvZdlMYxXC+J83mfchKHBGFEGAUoGXpEhhFoUWCdo560SQcjHBIlvdZMSoFUeLSI9W4769wFOSjeDhE4f1Zs/XMFaXbOoa0lL0q09mNanCflO+e5HdLESD1COoNE4yElAmcD/9kYQ1YWlFpjrK1MLu6CRMY6nDZVDGBVWDjPuLTOEcYx9SQBVT23EFhTIyzq6KjGkeE8Yvov7HPPEJZjLI7Hh3t5yvwcdm43zaRBGCXIIAQJAY5SOkKhiLpddrY6tBoJyIBe2mOyqTELu32O9EXnq48s02hdUBaaMhvjzJSkroiT2F/olYdKB2hEGPlbsAMnqqLJVZ7e6n8XOtVi63uJ87IwJwSXXXsdB667jie/8xCPPPQwbr5DY24eYS2j7gY1Kbnmeddy+TXP5ejhJ38QI1fFUM4KUVf92T+9YEt4JhwOSxLP0VZgS0d2vmS4OqXegc7CTvqNKeONMZNx4cf91lXuXOMxNIXwi6fKZGTLlNOnn0LWI86tbzIZ5+gyp7Y4RzbMKYaG4foAYeqEQYeWjBBSYrG4tKR/vKAXTGgtRqiGJWllZH0o8gSjvePXY3k0SoTYTJCNMuaWm557aSwba+v0u5vgLLVGg8b8HFEokSLAZ2374zcrmnSSMu2OydOS9WfWWey0EFcHaKmQzhE4SZkXhEFCPUp8kVd9D8KtDnxGf9ijXqvRbMxhqomEAyJjSBJHVozpjfo0a4I8n+D0GGEdmXU0GwGNWsjqmiUIJEiDMbkvCpVH53kcp2OSGXojS1YoGsYwLgTrxXOobX8htXgXywcOgqxXeB1XPfhHPYj8tzbB4tJulrZt889dIY7AYXFsbvbor3Z99GUJzhj6wzHj8Rgp4Bf/t1/k3PlVdu7cyYMPPMD8wjxnzpxh9fx5dFmgTYq1bstEdfbkOl0EUnhn8ZqUBHM72X3dy4ma2ynzCU432XbVC7BGs/HQlwnMuJrOXOgOOldJQ4ytZBz+sLN0Sr25jSiqIPi6ZDgcUSJot5soKTwAXkbVAlZsfS89uoqq+xgQh5EfIbsfZRzghe2nxeBPt//htm1piUtWdnLZpfu59NI99Ho9nnri8JZ7tt5swATCMGB5eYkX3vwz7NyxnW5/wDOnTzEtcpyx5KLS4ylJo9FgY23d3+ArnZKq4NZwwb1X5LkfD1dFyqxQmxVps9GtMYbxePysEcCs2yKQFEWJ1iVB6EXAzxw9ynQ6pd8f+EB5frDA9AWe3nrO2f63GG/Cu2BnI4PZ7yIhCZpYtNcQfl83SynlETOhIp1OMdpewMhc9HvWWtI0vYjt6HV1wgmUBGdDsszSihMfnyUjIhURVzxCZ6HMA2+GCR1BGZAEDaZmstUdUrMukfQXpLwsKyNEpXezBowmcb5wtc56cHTFXCuMZpxnFNUIJtfeqemsRViByiJkntBQy5iyxGUaQoENDIaCQoeMs5RM++ctKsenqz5vawzCaOaSGptlpTW1FefNencsMiCMGlhlqshEsGGJDiKEkqRyH0/1UoJswiXyOCf0Tr5XvBA5v5d6rUYYJ8gwJAwUTiqUdSAdpcuoSwhi36WTUpGWA4aDdXRtERHFsFUMuioezaB1TpnlFPmYODAVysibWJTyovAARWu+489pV0WqOX/zM8aiC79oEQJ0pZ91zuKs77ZZawlqkXfqtppc85IXcWo4JA4iGs0W1lmCJGJ5eYmrbrgBpUJatebWTcx5UeZWVGSZF0wcOPyix9+A3Fa33FmHlIpmo0MtwRfsxqKtJu2P2RyOSMI6YTBhPJySpzlFrfSF1cyx77z0wOG/72Wh2eh16Sx0aCQR7WbCcApxIOn3HG6QkERNojgmqDiP/sbpx6uJtmQmYXR+gqhpRN0xmUypjQTtoqQMc2QgkFWuriKgnGTEQUBpDSePHaO3sU6j06bebFOL6kRBhIt8Eo1CbhX5OiiJgpj8fEr/6CZ11aQ0hifuf5ykkXD2WJdWsoAuC8aTEc5YlhaXvTnNgrQKhMKiMNayurFGuz3v2Z+Fn2AopXziUxiSlxoZBBR5gVUajCO3kjxP6cx1OHwsJj8FxmoWWiW12CEDVy2yLHnhGE1rEF9Oo7mbIuxx6sQRitp1zG3bzeJ8h917LgNXmb2qHGLHj2lMLA3WFXiqQGVIq47lmeMnqTUbtK64jLOHUwKr6W10CcKQKI74zGc/hzGWK688iK5Yr8YY5ubn6cx1UEFIOp1QliWbG5tsrK9iLSAkwjmktbjBeU4+8A/svu5lRMu7mU6GtJptdl77UpRzrD38JdCZlz4IAN+9UzPnuXPV/Uv4qNVQEccRdjomm045d3aVyw9dRRKHNJIaznrOLCraut5X7wTKq11wzmeuWweiksD8qLcfezE4u7l+5jOf4dSpU7zkJS/h+c9//g/9WCEE0+mUJEkuelN/MraLi5PxeEyz+cPBIx988EG++tWvcujQIW699VaOHTvG5z//eXbs2MFrX/taut0un/rUp4jjmDe+8Y1bfL5/r222p9nF4dpDh8jyHIlPidBFRppOyLIa4HV0eZbT3ehdJNL1nECldeVww+MUBBXMWrKxdp52e4mk4TOQlVJ+RW5B64Ism6MocnDCj/9siS69ySAvUqbTKVmWecxGtfqWW5muBl0aTKmZmIw48Yy3Wn2BU6dHnF+bsrjYIApCcBZDgTXe0eXHOsWWk3izglZfDLWeFYyzQtBjYxQBAShLURjG4wHjyQSpIElqtFotFhYWsLaGNV7X96x33clqhS6IoxqdToc4iSiKnNFoQFJLEEKS5rnProRKw6dACoSCIAqpN+u+qLUGpSXKeY2YUB7zMxqNGI1GIDz7rtlqMFEJRZFTWguVOcbqksBq2ipiNU8pTInSIaUqQDtKvNEjL33Ek7YWpz1c2maOcNhhW20vYauJMxnr6XHSsAtBiRGCvOoWy9KDYE2F79BGV9nCJTLLWeg0meSZRzVEGqEUxuDxEa6BjBVRlXtrHTinkKJAI6jbOtPmZRwdngMz5PHpQfS2A8zV6gRJRBDGlanFGwsUEGChVmNiNDrXjKcZEofLS7KswGQpylhfDApxoRA0GpNn5OkQpSZEcZ0grHKtA6+bC1RI6GD3nv08oAJKY4iMAOMwSiO0d3T6sR+VXMJgtcMZKI1Da5hfXiZs+FHaZDTGGFDNOu12G2MKCq3p9YfkZUlNKc97rNcpi4wiVAQGnDCUpsTljlIXlRxDY7TB6RJtBcb4tJG42WF+aZ7VKPVFhPMuZaUUYRkxGJZIO2U6ntBd6xInNULlFxsWX7yLGS7HOspCY0pLnk7Js5iuG1NqDwoXpkGjvkAU1IiUNyj5G2J1XXIaHfps7kBFTLOAcd+ii5ze2oR2JyQMApxUXntqDZIKKi9DvvfAd+mN+iytbKPZvMAfVUHg3e1SogBrBRqNUrD5VJf01JSFuOMziCPLqWObWDVGuoiw1iCMG0RWMh6N2OxLVrbvxDkQWvpel7W4KGGUD5imI1rNDtoopDEIqSpNaILNJwihGI1KZGAwFrLSMBxFGHaxY/scq6tdnjwyZm5uynxHUwu9QrLQEik7LCw/l/mdL2XPVT+DdSnrX/o00s4RBBF79u71GKXvmwqLHwt0upo3uFlH0G6ZR5yTPPeqfXz4/f8X25aX+L//4A+4+0v/QJbluCyj2PTXDSkUp0+fJQoDHnjgIcIqKOFscJ4g8EQKIbzRS6kQY8pqWTFzb2vEeJ2TD9zNJc/7OVq7DzEdbtLuLLF46GcprKX/2FcJzBiDrZJDlO8MYjxBwVaNDa1JIo9aG22OSCJJLanRme+QhBGhkmgrnlXgCaqOoJReAyocdibFUcLLfqrm7f/0BhJrLW9/+9s5deoUn/3sZ3+oYnDGu/vbv/1b7rrrLu68887/gCP9/7/1+33+63/9rywvL/Pbv/3b/59Fm3OOj3/84/zpn/4pv//7v8+tt97KXXfdxdvf/nZe+9rX8rrXvY5vf/vb/O7v/i7XXHMNv/mbv/kjPX4hBHv37OEL/+3vefL4WU6vrnP03Ka/eAFxkqC1YTyZMJ5M+Md/+icu3Xcpg9GI+eVltL1o9OoMxoGwBuUCdNThyOaU5sTSiBVxABI/OpzmhiSZ0mqMkFiEUAjnYdB5kW0VgrVazecHX4Rt2coaNsZHtHUHTEcpo0mDMxuGzHQIA8elac7KQkogwFZTMes0RVFs7b/ZbNJoNLb2//1ZxnmeMxqNmEyqjpuDVPe2dEfKf8vJ84I0XWNjY4PFhWWWl5cvpBvYmRPVYiv4bRBI4sRfxPr9Pp1Om2a7hRKSyWRCf3OM0erC9dNdMDIUeYmtOnTWKozIyVyflA2iutdzzcwpWhdsbGSc1lDoCGsNaIMtc3Seg5P00owCQzhNQXo+pEFWWssLOArrSozxHb10M2VJ7KddW6DVajKdFOQ6Z5qO0IkmQG91mISQvvtrfeQd2iCKApfm5HlBr9BoISiyFBlGCCExzlEoP9YKwpBIeuizmfEoCSm1IC9L0jJkynVMzTKjZCeYGK295lGFgkgpZKC8Tsc5pAxpNFuMW23ODwZ0yhwlBN1JzpAYNZ0ighIhlR8dYbHaYosxxfQMRkN7oen1msr6rFsZEaiIKAyIFGxbWWF5ZQfDs6cIbIGwILTbcojPusS26tJpZ8ltQWEKcqvZf+VVoPy5PrUDsnJKs6wzSntYpzBFTh5kFC6lTo3G/DyXHLiM449+l0ArChHgJChtPGBbaGA2/jIUVbFndEmmC/Zftp+oWSMINcIpn7SiZrF6Auu2kTY1By9NWO2forvWQ1Wh1JEBq/TWQk3jZQWNVoe1tXOAIEkmlDkM1xyJ89q9WAUVwFl+XzHos7KFkNU606NfAiVYuazN6TNHIZQ0hENYbzbBQRRFHDlymNW182zfuZNGo7llpgrCWeRgRQXAYZ0gdIr1ExtsHF1lPm6TJCEqlEzFJnFbkNSb/po0HrGyspeVXQc4f3qNJx46zmg8ZGF+kcJVBh6lUMqjdgaDPq1mu/ry+kxrT6h0COMNPOc2EqTMKcqM4dBQFC0Wl7azY1uHHdu3MxyNmExGjCc5ZShpNussLXcoCsnx0yOi7QpR6xCYOkmjQ3dtg3m3h6XFHZUE4MfRB/w3Ngf+yu/101vdN+G4dNcKM/jh2/7P/4PN9TUe+s53sM4ihXfua2sxuaDIvclQVHpQH9noUWK+WRDPdr71HZttAlD5kDMPfoXlImPhipuZTPrUW3MsX/ViVFSj/+Q3UOM1TF5gpEXKmjco2RKH3tLDBkpSiwK6eU6r4/WhnVaTKKikOVL5z1sqpPQpXw4f9ygwSOGNYl7/PYus/NF/DD8RxeDx48fZ2Nig0Whw6NChH/pxH/rQh3jHO97Bm970pn/Xzti/xzYzK9x+++185Stf4e677/6hH/vtb38bIQQ33HDD1t+dc9x4440459i+fTvvf//7OXjw4LOe70fxHvisUsnuffu449N/S+5CpKjRnJtnkk4J4xhdalqtNlrA6uYGaw/12L17N7U89/mdWntXlBE4YyhsTi+Dbhri4jqlEkxNSam1XxVZ0CimWU6320U6jUN6tpYSGOvjshqNxkUw52grucHfoB3aaIJIEciIc+eGnOqBiy4lqiVYXfD00TMU003mGl5fhLPICpMymUyo1+u0Wm2fmFFFSgnB1irfWL3VjRwMBoxGI4zW1NqKOKr7nymHIPQFgzXoUrOxscFgOGDXzl0XFYQGYy+Mv401jEZD0nSKMYYwDGnUvVu4LIvKgKIpZ6YF43EKpZBY48eJpvTv9SBfp5efJWxDnDR/MGLQWuJJiZnmGGegKNCFZ0lu27OXE+mE4eYa9dHAj1SVj6931iFspaOcmW0M6DKjGE9QTQXCoZRGSQfCoXWBLTKUjTABmCqjl2o0jbGYMsdkKZPxiLBRJ9m/h8Vsysnjx9FZikRgnAePCyAMfPwhQnqGnRUMBhM2uznWSqJoDuaXycRVhM4hbME0d0w2NZ05y0JHwXjKdHPDa0TjhMbSEkv79rF+4gRnBj2ccUxJGGOJhgNUEEIVMYZz2DKD9Bg73HdJw8uR6qrKcANCOoR0KOWIooB6FeX33Jtu5iufP0WUF4QIvOjhQtThVhavpepEF0yLkrmdu9h35ZUIByd7h/n0v9zBpG9x4jnMmXkskl6+SnfuSTjW5Reu+C80gyWufeHPcvLJwxR5XiWjxAgLWrmqSyS2Eki0MZhCk+UlYbvDNTc+HwrlcUdWYaUCq7fUjLGrMd9ZIApKBptjBv0JCE1naZ4kqYqtKoHEmhJdlAQiZrBu6Z89y8J8C1cmtILd1OJ5IhlVyUfR1k39wjVJgnE+S9g5XOCoxRppHHmaMljT2HKdlQM5oqHRRYXMsYbDTzzO4sIC9UZ9C4gdhDOcT5VMJCS+nwkuFZw9fIYaEXGYoMKEUuQQlzQW2jQa82hdENYmXHLFdnbs2EZjrsHp4xt0NzdZWlpCKVk59P2+lQq2YimdcWAk1kqsg1zk5HlGWTZIy30oUrQuMHZMaQ3aeiBxMwmYX1lEhTuIAs+rk1IwGo945JHDbI7GFOpeGo0d6DLlyJP3McoE19/wEqJI/VjUgf/dTYgKb8NFnEPP6gTnIfxCUG82+c+/+r/TXljk6SOHeebppzGm2FLdCSG3JjizqY0xJXme41wVR4i4SPfnLjoEn79OOWHt4a9SjLvset7LyJSiOdemefULUVGD7mNfR/SPI5zXwcdhjC1LrC3QTmMcKBUgCLDG+tzqZp2FxUVCJStZEhViTG2Bw6FqSOCzx30x6H/H57P/L8IZfPTRR0nTlP3797N37176/T4f+tCHWFhY4BWveAV33nknR44c4aUvfSlvfOMbUUrxyU9+kk9+8pMYYzhx4gR/93d/x6te9Sq63S533nkn3/72twnDkNtuu43bbruNWczZJz7xCVZXV3n961/PHXfcwfnz53n/+9/PRz/6UZIk4eUvfzmf+tSnOH36NK9+9at59atfzRe/+EXuuusukiThHe94B/v37wd8R/PLX/4yX/jCF+h2u1xzzTW85S1vYWFhgW63ywc/+EHuu+8+AO6++2727dvHgQMH+OY3v8lf/dVfsbq6yrZt23jd617HC17wAgDW1tY4fvw4tVqNq6++GuccDz74IEoprr/+egAee+wxsizjsssu23oPH3nkET796U9z/Phxdu7cyZvf/GauuuoqhPBolK997Wt87nOfY21tjYWFBW677TZuvfXW/2EBefHPrr36Kl7y/Kc5fvo0/c0MheNnX/QSVnauMOgP+NZ99xNEEfsPXObHLVKS5p4NaI3xI8DSoAvN5siyniriOGGurplLJLWwRqgABNo5slKz1E5YaLX9DRFfSPgOW+qLo0aDJEkIw6iCdpY4nL/gBqpqyytkM2BajslNh7mkwaFLBSsrIadPzdHfHNKai8BMvZkhy8myjCiKqgg7Hzg/E77PUlBmbrKL84273S6ZCllYmCMKa9XNTPtisOrc6VATRjnT6ZSTp06wbXl7ZUIpKUt/4UrTKbVajUajRhBINjY20FqTZqkf02uNCgSthTqT4ZAkjnyXSIItLFIrwGKsoTc5Q784R60TECf1CgIsv6/YsES5pcxStNWYLCcvM8IwItMF87t2MJ6OyKZjUJK61QS1GjKIEFspLg4MoDUmH5HnI3qcJ4rbpLpA5prpZI1pfp5AGVzSRFbuWt8VcGBtZTZIKYZDyjxjx47tZNMpzlmCMGQ0HNAwmtB4rR/WEgUBjSREBhGr631OHD9PljtqSRsVN1ChIJDKF2943aE1GpdrhoMR6XCd9nTAcsNLDcqspH/yJLW9e1jcdyk6W2E8nJCONA3rky1U5BEh/kJg0GWEiHYRmgET3QBpMUKgUDgX4rwKDQ+28Y+78nnXs7m6xmNf/zrS4s9xW4GnxcyI47z+syxJiwLRaPGyX3k1jbl5utN1PvGl/4dn1h4nNBHj1S6daBtOFIR7MhqXGp4c3495POfVz/lNduzezY0vexn3/eOXIM1QocMGClFF+YHAVMWgyzVTXZIhuOXWX2LH7r2sH8sqParEaIcw1WDRSYyyRLLOuWdOk/YEFsVT43Ms7Zgyv61JvZ2gwsB3btOcUTdn7WyfUS9FWIEYC3Yu7aQRLxDLEBVEXlMVSEJ1YfECMxe/xeBwLsQ4S2QSsmzC+jOGXa1DjEcDjjxwhqXtI5KwhqtLVnurCGtotJpEcc0XqKHPnlbBhXQiqfxnZXD017pMuyMuWd7BwmKDbCKZTgeoUBIEder1GnkuydIxvc0erUaT3kYXZ71hbTweE4e1i6+qIKAoS7KiwDooXUkhJhSuICtKpArBGeZby8jA64bbpSHNCrI8Jy8LwkAhlUChsW5Eqb35YjBIGaYZWjhOHn2MyeZZpLT0u32C9m4uv/yy6vv2E7SJWRXoIevOWa/pq3TZm70+Dz/2PZ48epTxNKOzcyd7cKggor+5zmQ8JstyiqLcOk+UUhfhyJ6NDfu3bnnWVgQFJMJqRk8/xPFBlz0vfBWp2E9rcYGF/VcTxm02nvgGZvUJ35G0DiEitPasQKckaWHododMR0NqESRJSLPVRAiHwFZF76xz6f/zR4l//oq2sBVnKeRFP//RbT8RxeCs83XttdcSxzH/+q//ynve8x7m5+d53/vex/z8PEeOHOGv//qv6XQ6vPKVr+R973sfJ06cAHyh9fKXv5xDhw5xyy23cPLkSQ4cOMD6+jp33nknf/zHf8xb3/pW+v0+7373u8nznH/4h3/g3nvv5WUvexndbpd3v/vdNBoN/vAP/5BOp8ORI0f43Oc+xy233MLDDz+M1pq1tTWOHDnC3XffjXOOt73tbXz4wx9meXmZdrvNZz7zGT73uc9xzz338N3vfpc/+IM/2Eq2+JM/+RPe8pa38OEPf5i3ve1t1Go1du3axZEjR/jEJz7BP//zP3PTTTdx5MgRut0u+/btY8+ePZw+fZqzZ88yPz/P5ZdfDsC73vUuVldXeeUrX4lzjg9+8IO8853vRAjBysoKp06d4uMf/zhf/epXue666/ijP/oj3v3ud7N3716Wlpb44he/yB133MGHP/xh3vzmN/9QHUWpFDff9HwGozFxEHBuY4MwSajVamRFQW80RIahd4W673P1VsVgqXMmqWZtsyCOIra1HUvNkDhOtmDMM+RDTWvmmjXiWgJ4F6HVIVHkjSvT6bQqogyD/ialzreOdfZ64iCk1mwiVIAuU6zJUPR4zmVt9h/ocOklC3zv0S5xKHDWm0tmaQnj8bgS2Du6o41qdfns1ZlSamuEXJYlzWaTeq3lC8ggrl5TgBQz7p8fz6rAH994PGFzc5O5TtvrIPN8y6jSbreYm5vDOcfa2hq9Xg9tDXEYk6YptXqN+e3bOfzwMaZZzYvRcdgqBcUBqRnSz88RtQRJzUdzzVAys/xcnMU4i3JjismIrMwxuYZQIoRlc30DBSxs24XRBXmWkY5GBHlOlCSIIPQXM4uHcOep12i5nNHmY9XvzYNOmXCeICmZDCZEmSZMYtQMJuwcVpfooqDMMgCac/MMp1Nc5j9bi79wTkZDwgrMbcvScy1VSJpqnnryBI6YemuOKPY51IQRIZWu0glKBMKm2AAIFWY8gthQb8Y0k4BsWlD2uuTDIaI9T39i6I8sQdKhGTVQUbUImHWrnEWbJkbP0U+3M50MCLOMRmLBgrMGpcfQPULae4KsGCJe/X5U2OYFL7+F4aTP4w/dSyuPSXSNUCkC4T9D6xzaloxsjqsl/PJtt7G0cycazf2nvsGJ3mGssJTxhEF0nLE8jYocu5a2EcVNtJQ8vfEIJ4eH2T/3HJ7zwheQ65Svf/m/0XQlDRsTmIBZKpBxltIYMp0ywnHLK/8Tl11zrddGKkechBgtEMJiqpG2kpZAOcIgoBa1aMYtplmOmTpWT3bp9zapdQKC2I/VyxRU2WGxcYBYDxhP+wRRgookUoEIBEJ6ja9SVBKNC9nEWhscxneGpUEKP34NwwRZFDSiOvPNZdbHTc6cOUyrY9l5aIUT3WPU4oQwipGBN7NdDJefOflloAjwGcqj/oBaEnLtz17J0vY5Th/dJH2iy2SaU2QZg+EmRlvKtOThex/n6HdPU2YGSi8pGY9GRPPRhc65c2hnyETGQA6wocAqiwsKhBXM5XOU0wYiy4jrEOIQROgA4jBgEijSLEeFgByS5j2cGyBFihOSUkd02hYzAIgIxZTti/NEgeLKG/4TzdYyPx7X8H9vqwbkjirvfdYVh/5wwCOPPc7jR44zmEwpjSMtSrqbm0yGI1QYkNRINbpgAAAgAElEQVRqWGcIQ4/Tarfb1Gp1rHWcPHmSPE8pimKLLHGhw/ZsNJSoCkFwSKMxQjFaPcYTX7qT3Tf+POKan6Mxv0CjcRBVazM+sRu7cYxUTimlZaxDbG03G1mdtdPrrJ06zsPf+ia3vPhakiRmvt30cganvRRFCKSoYqacf81S+fdCVI5jqQKEDP7XMJDMbq4PPPAAADfeeCPgi0PwN/U777yTF7/4xfz6r/86n/3sZzl8+DC33347n//857n++utZWVnhm9/8JsvLy7zmNa/h+PHjfOADH+B3fud3OH78ODfffDMf+tCHeNOb3sTRo0fZ3NwEYH5+nm984xvs3buXr33ta4C/6PzN3/wN11xzDTfffDNPPfUUzjkefvhh7rnnHm677TY2NzfRWnPXXXfxkY98hJtuuokvfOELNBoNXv/61/P5z3+ev//7v+eXf/mX+b3f+z3e+973cvvtt/ORj3yEJEnodrvcfvvtvO1tb+PQoUO84Q1v4C//8i+5//77ufnmm3nwwQex1nLDDTcgpeSxxx5jOp1y8OBBtm/fzokTJ7Y6inv27OG+++7jne98J81mk89+9rPcdNNNvPe97+XP/uzPuOuuu7jsssv42Mc+hnOOu+++m7179/L1r3+dL37xi6ysrPzQn5V0jkt27mDPnhVOnznH2up57r/vWwyvPMSxM2fZHA5ot1tYHGpmaBHe3eaMN3Nkec5qd4w1JTsWI5bbIbW4RhgFCBVU4xmHQ2N0SBTXCGPP7LIWnAoJgnLLbbu6ukoYxiRxQr3eIAhmsVquumlo+sMeRVqy2A7ZHK8z7hmm2QF0OYcwjk4rBqfRTmFNUOk0FM46Nrs9wmBEnMR+/1vRaa7ipnkzRpEXSCW94SOOfSpH6CPzZkxBHy1nqxWo9Wy3mmU0GiNHfp/TaUqv16PZ9NF3Yeg7rLt27eLpp48ileS6n3keQgh6/S5Yxa5LlzlzZB3tSuqmRagilFQ4LP18DVXzus4orPt4rq3YvFln0Hrsi4AyzyjKgnpSJ6jXfHybkgQotBQoWxKVJeU0ZdrvUWQZosqg9tqcmEZrjnZSZ66Vs+gkk/GQrBjSmAu5tN2i6xSrrqA3mZBNpxgzqi52XiNktKHWahPW64iwys6lmsZaQ5LElHnGdDhCVOw6U5b0+yXfffhJZNCm0ewQ1moEUUKsFC6IEErgpEU5gbISjKJUFhcItAwZTwwZjnkVMQ4KrARTFow2BowGhmZzmaBeIw4i30lTwVZHw1mDsgZjA1/QBDWy6SaTaUkYRsSTJ7EnvkSUPUY7SLGqzpm1p9m7cj1hvc7P/vIvcnx4jFNPH6btWtRVzXcPhaNAM2VE3lDc+kuvZO9VVwGCzKQc7z7M0kqTwXjMwo5ttBpNAhnhpKUkZ2OtS9RsIWqaI+sPc+ncIYIg4vqXvIQjvZM8/u1v0M4jarJOWHUfCqdJbc4wzLn+5pfw3Be+AInCCktvskmjuZM8teBKnJEI4/V8UkQoYYhUjb27LscITbc4zcJKnbihEMp3duOohhQSnQncOMJkdQZaESQZyozRZQ1kHSkgEMJnMgcBcRIQxQFlYchSz08UlcRAVnF6PsnG+MVorJifC1k6eCnEIWI+YXJ2SrOx5MHbalbMXzh/ZyzQOA6JCMl0QTZNCQPB3HKDxnyduYWMVn2ByfqIzfM9au3Yj9SHguX6XpyWRMKSuxwlSrIs9wgpW6JtiTaaQucE8wFimyRqhBBJAtUCK2kb0OUEkQ2Ynv82ISOvK1PbSaKdCOo4p0lHp5D1VZqNjCQWBEHFOjWO1pWK1a6iP9xBu7VAuxXhanPc9OKfAWlgq/T/ySgInfOLnllRCI5zZ8/w0HcfZb0/JC81pYHeYEKvu4HOUnSeI4UjigPyUpJNNek0o9vtAt686PXknWoMO0uv0hUxgsqlP9M8C59olNSJYh+daPDQ7vTpezg/3GD7c15MY/dlbLtiP3FzAT2+iTwbEJSQ2JigFnP/GUdbPsOj//gFRueOck9U8pY3v5lOq0Zeao87KqtkG2criQ/VvUtUCxNRAf4DEH7k/B/Rzf2xFoOzEeZ3vvMdAG666aatsSjAb/3Wb/GKV7wC59xWx2T//v0IITh8+DDOOQ4ePMju3bs5evQoX/nKV2g2m1xxxRXce++9aK3Ztm0bp0+fZjqdbhWdBw4c4M///M/pdDrAhWL0V3/1V3nRi17EYDBgfX0dKSXvfe97WVhY4Ny5c1uPTZKEj3/84zjneNGLXsTjjz8OwI4dOwB4+umnCcNw699f8IIX0G63AfiN3/gNHnroIe677z4+85nP8K1vfQuASy65BGDrtc8K4wcffBDnHDfccANCCB588EGMMezfv5/FxUXe+c53orXmda97HS996UsBeM973sNb3/pW2u02QRCwtLTE0aNHednLXsatt97Ka17zGj7wgQ8Qx/EPrTN0QCgl1z7natY2B2xbWeGBxx7hwUefYmNaMt9MwDqSeo0gjCobvtiC2OZ5zmg8odeb0pmfZ76Z+EzWOKr0RF5P4zuDAVJ6PlcURl7LZK0H7wpPap9MJsRxTKPR8JibqhN38WpPG00UBWRyilQF11yecH69z73fuofNtR1IJWm3m0iRIKzFYD2+wjl6vZwoCqr9JwQqfNb+rTMYbQmDiExNmaY+Bi+qeHJKzvJYq44nFqO96cTa0AfIhyVhGDAaDcAJRsMxAsFkPCFNUwYDVWkKLYuLS6zs2MGOHduQUtHr9Th95iR5WSBbE8Y2J09HhNQIRYTGkKkBc7HXXgVKIoOwymUOtl6Lc45Sa+K4jhC+0xnXmhAnPklBAbJiptkAF0QoFSICRRgoFubnEZUOChWiphlLacn2zqIvjGXo4cIVuHuxiJnLM87XmxS1GOcswnnXer/fYzJNiepNVBQjg+qmXVnpbBXNJMMIIQOUgKTZpCwKnjl+jlJL2q0mQRwTVEgXP4oOquQSL/h0zmGVJDAGIWI/oTZtzk16uGKIKFOmRUFuAobjkrixQFhvbp2rUqqtzqCrzhdn/HhVIZAuRAhDOu1jh2cwq3/BbnucVj0nCBVWWjYnZ9jD8xBC0mks8V9u/zX+4u47OHH8SWzmUFZ6QHcCnW3L/NyNv8ANV70QiyIAjM6YliOSxZj6joSW6hB2t1Ev5n0mbmOTdPEM02GGkDCQfWZOzTCo8Su/9J8pkwmPPHE/erLukTqAUQLVqPGCG36eV9z0KwQiqcbVMMzWWYh3ogs/6nQ+0gWEwwmB7+o4RKhIOpb5hZ3U2h6Ebio0jhSSQCpcQzBOxmS9HstLDephk7K0jDY2MNMESQuv/PXXERkKgsRrRUUGs4JGVqO3qqeCs4ZRuU7czEgWDLWkQ7K9xdHTJ5HWi/ZnNZB0P5g65GHmkkBIZGX6WDu/weMPPcXKJTvYODVEFIrd8wcZFV2y0ZhIJrQa8yjn9YQFBUaWlGGJiaEfDLHSoKWmsCVZlrFj705qyy2iamGhpIdQO+c1hK4mWMhyQpFibEqRT8iKVRwH0G6Ver3L4lxBvQ5hJAmErVytjlosieOSWmMdq9sYDVc851eIm63KN/KT1Bn0Wj8hZLXgE4zGY46fOE1RWoSI/KIon9Db3KDIPIRdWItwHvEVKh8NpyuqQVGWTLOUSTr1qTWwlbpzIW7UGzNU4KNAlZREUUgQCtJ06sfxueefls4gz69x7vAjbH/Ojey5/qW0F3aSxZK6ahEEEcVkTEROzQ54+t6vYMcb7L1khVtefgs7dm4nz3OE9OxAb5qrynExOwcv1i8qfOtXVYWg+oH37Eex/djHxDPzSLvd5uDBg+R5zqOPPgrAq171KgCKouDRRx9FSsnznvc8wBdwM5OFlJKnnnoKYwxZlvFrv/Zrz3qOxcVFgiDY6jjefvvtzM3NATyrGL3lllsAeOaZZ+j3++zfv5+rrroKuNCtvOGGG0jTlGPHjgHw0Y9+lDvuuAPwN5lWq0Wn06EsSx5++GGUUlx33XUA/NM//RNveMMbOH/+PNu3b2ffvn2cO3eOer3OVVddhXOO+++/HyHEllnk+7umFxeHWmseeeQRAH7+539+6/XOHLCz7SMf+Qjvete7+NrXvsbHPvYxPvGJT3Dbbbfx6U9/urLd/xAXhupiv2Npkd27thPojNZonun5TVSRMRikrBVjmvUmcT3xxYfwcOas4qalZYkUIe1GQhIFFdKjimmTlVhW+FGVQW/hYmbF4OxL0+1t4pyj2fRuwCj0Bcr3F4PK+mg2SQBuhLYTbr5+hbL0fLW5th8lermaRfgMKtJBirXW5wrX6kRhvFXUXdi/xSi7dZFBwHA4pN2a84Vt1Wnw5pYAYy8ApmcRfKqKojKpoZgGhKJJFBi6oy5ra2sURYkQkGUFSZJw5sxZNje7KBWwublJURQEgaKzveWNG4WhnPYZjQuMtSRzUXWjCaq4swtax1lBqLXGAYXx4/2w0k+JMEQGge++qJldWOKMxNmKtj9NKUvtL15CEKiAJSPotBdo1GuoKCRUIZIA4RylC1GBZs4Jzg7W2RyN/Oq8skSXRVGltfhjFIFCVMkjWIGw3r1qnIdQp1nGeDxkEEvW13p05rcTRB4VE1QZxr4T6vc5095Y6zC2uksQEDiDjWMmZcTJ4QiZDrCNGqNxgYrbRLUaYRx4XqCKvfNYSsQM9WAdRhp/jMRbTMBSjzFn7mWbOEa7bqiFAbFKKIP/l703D7bsqu97P2vae5/pzj2ru9XdSHRrbDSUwNZggTA2WEjYz8ZYMYmIiUm5EleBE+IQsElI2RBSOGUb7LJju1JhcD2DIyETG2TEZEASkhAaWt1Sq7sltbrvfO+Z995reH+sfc69DdjmYdUzr6LVdavvPffcvc+01/qu3+87aFRSw+OReCSKHRP7+YVb3s43jv0Nj554iPVimSytsW/7BVy+7+XsnbuQNKTRoDoAKIocVAL1ZgvzzC52lhfQzKYIItBdP8vZxKNbC6ytdaGiJhACAslEMs0bX3M7hy68mG8+eR/LnUVcCGyfOo/LL7iKw+dfQyrqcRMgbLRBspLhwGEtVcpIhGvRJNxVFk2WklXq04asmTIcdiOvSsVKuQ8BvCMIz6DXpd4wTDSaTGQ1esWgSt5Yp+W3R9EVFuclZRFZfK7cUN5X2p1NXwFLSWh0yWYzvJF0un06ytHtdBj5V46Thhi9JGH8v/ee0gaCsJS+oN6sIZXh4a89wamJBaaac2S6CcYwXdsxpkgUle1V6QN9NWRQz9E7M5J6SkhACo32ElloRG+aUIubiiyrxWusDBS5p8xz8GCUoj4hyHyksBRpQJerPP30A2glmJ6VNBueNBUYI9HCVMKqglIFkArPgKW1J1H1C7noilch8QQRqRI/WIAwjP/rdrucPHmKQX+I1glaeUQosEWOK4bgHFoIghLgZXVtxw1fECpuCyqVuQseKSvebQi4KjUqVgNHnwHxHdqMcVerSkNSPuBUSRguM3//51l49BvUd+5hets+kuYUQickOJRb4/iJxyj7HXZsaXHD9T/MwYMXkiQpSpkYzgCkSVJ5S8YulhCxTT0CqjLuwCurn//v3qN/dDA4Alnnn38+W7duZWlpiaeffprZ2VkuvPBChBBj3tzOnTvZtWvXOQBuZENTr9cBuPbaa/nEJz6BlJLhcIi1lomJCZrNJg899BBCCG644QYgfkg6nQ5HjhwBYmVy82O69NJLaTQaWGt5+OGHCSFw9dVXV8HrsYX113/912NBycrKCtPT00xMTEQX9Pl5arUal156KQD/+T//Z55//nk+/OEPc/vtt/PAAw/wIz/yI2zZsoX9+/czPz/Ps88+y9TUFAcOHAA4Bxx6788BhxuWJIHZ2dnxY3jPe97DBRdcwL/8l/8yJlgkCXfddRfHjx/nE5/4BL/5m7/JnXfeyTe/+c3xc/47R6hYJiIq4g6/9KWc/au/ZOtXv85UXrJfKp47sIfFHftZbndo99uRe1NV8RCS6ZlZzpua5LnT8zQyhdFR5CGrSlVScfWEEBS2pCRmQNayGlTVK4B2J6p2JycnY+Upibwwo9PxLmtDGOEiNwNdVZc79LoDtm7dPgaaWsffjQysB4M+a+trNBoNarVa5CjqDdua0bGjdUGlpK0SGqy1LC8vs2vXeWMwmKYpWZaR54PoY2jt+DijCcDoBhMTu8hth6FfYnZuBp2I8cSlVKwYLC0t87nP3T1WUU9MTFQAR8WF0pWUzRLT0vS6XaSxUc0sv7vxdZIk9Pv9yoInpTk1SeEsg/4AoxRpLYuT7ciux1nWOx167TZGGRqNmBUsKo6ic44Fl9NZOc0hvZNDjZ0xd1XGhBO85pnOAt9aOEVXCmSSYZKYHxoAndawtqTX7VIP0JqaRhkDUhB89MDrDwf0ul2EgGarhUDy/OkzSGkwpoYyJu72K5WeUpX/o44LRCBmkuKivUO02YkgVZgWXdGjMTmDylJcR1DLWqjEVBsXU903VhaErPKQXYBgwTlsAEKJD5pWv81c+U0mJgqyxKOTOiapo/Ukxx87wf65H0LVa3gR3TMm0zledenrufGyn8BFZ00UEhGiPVEMDYv+a2eeOU1vYYXaRZJ8xbKlu4VpZTCLZyPfrjXLcnsBP7dC2tCsnFygc/4aU9NxnhBC0VBTvPyCV3PNBa/CEVtXGh0XoSBwVEkNQTJYXmfh6UW2ihzv5DjvdWQE7h1RhUxOYzYhaEWnl9Oo12mYBEmkXggJQUPe73HizFn27ttNkBabRiW6FJJcOAaypFa9T2XpCKFE5rbqNJQ458cKYRc8ITicL7G6TzqZMrQlIkCrWWdoAvVGnaxWoygKQuVn6aqkoyA3Eo6KosD5SFmwoaQ1M4VIE1pqhrpqRrW7GFIIh/emSsaJxyl9Sd/08NOW5mSTNKlHfmm16Md5w1GWdQZ5weriClbXsZ2C9WdXKPs+XidBIfUaB6+JPpjBC4xxDApJPlhl665pGjVHmkkSo6PKWSZIIXDOgB9GHppNGNYde694HdpsjfO4GLUbPT8oYHDUsu73B8zPL9LvD5HKYLREK4sWkGlFzWhyW6JlwFZpQyO/V+9DxflMAFEJ/XzF1Qxj7j4hcqER1fMfYeIgqyo31Zw62ukJXHXtRdDoEYNV+ifW6D/zeLXpjLniRkuyVLN1do4brvshDl10AVmmwTv6vQ5plo0TqPI8muiLqko5mlOkGBUcVPX1fxAYHIGdyy+/nCRJ+MY3voFzjkOHDtFsNsfVMoCDBw8yOTkZlZjPPAPA0tISJ0+e5GUvexk7duzgvvvu48tf/jIvfelLec973sOnP/1p/tt/+2+89rWv5dlnn8UYM1blApw4cYLFxUX27dvHli1bEEKMweAIKK2srPDUU0+htebKK6/EGMNNN93EkSNH+P3f/33e+c538vnPf553vOMdXHLJJXz1q1/l9OnTrK+vMz09zWOPPcZll13G+vo6AL1ej69//eu8853vpCgKLrroIowxPPzww+R5zkte8hJ27Ngx5gdu376d3bt3MxwO+da3voWUkquvvpo0Tbn88st56KGH+N3f/V3KsuS3fuu3+MxnPsMtt9zCm9/8Zq655hpOnTo15i5eccUVVRyaHLe1/94hqgzMIHBCMDM1w36ToINjcm6W6W4H9+xzcOElmG2tmElcgTPnXMX1SkiShEZm0JJoJyBiHM+IuN1oNCLY6vdwNuZA1uq1WIUYDCIHcG2VJEnGIHDk3bWZCA5Vpc+JmLQQosWMyRLWOj22bKHi5BmyLBuDaueincvod1qbGCS/KVt4VBkcqYpDCGivxxd5p93ZmHhgXAncnF6yOVMZ4fFywMAtEExOs6HRSQOtTGybE3kuZVmO36+ocs6q7OIRQPVYH60VpNLRwsUWbMRMjSop4pznO05UkQpTq4N3+KEl7/fIUkNragajNd45lhfX6K2tU8tqqDRFab1J7RZQIRBMQt/mfHNpnprOuGjnbrSU4ANPLT3PvWdOEtIEk2Sx+lhV2EIIkVhtE4zKGfZ6JEozt20bSmmsd3Q6gwhEjcEk8fx5bumttqlP7EBqU6mb5fhxjSZboyVGR4VuUQYKAsHHz4sUUUxghKEwDVzD0Fvro80kSieRY1aBaKXjpC+VROiYARaUx1rwRYnLe7hyCMGSlCukcp0aAh0aaJWik2lobuPJrz7MlqmXcvk11xM7oYHqGwQSQ+SzjaoWjlBVIgXdlWU+e9f/TbEtpxEarDzdYV97ld6DX6F2eh4pFeXBl6J/eAc+pOhswOL6ab7+uc/x6lt/CpnI8UIX/6kI1s656EfVE0GZD7n/i3ezsNRmauIKglPj/HDnHdaX8TPqLFYOCcbjSsVEfYb+es7y2jp53yKsRAqFyQQi8xRDSa/dYWLQpTcYYuspA1ujNphGKUfQGidsJN57H9XbPqbfeO9ihdF7vIucvNwOcXJIEJJEGhKarJ5uk+xqMDs3h3eehfl5yqLAlTaCWefwUuI2Z5q7gJRRWJU0MprbJ2g/1yXRKQiJJwo7fAUcAp5CWLqmg9wqyCaaZFl9bOE06niEAMIFclOS6pLu+jrPPfoMWZGQphmtNEWIQAiRVmHSCbR2CFcSrGdl2ZIkaeQIVsc1KkGbJjppgdSIohM5aTrHmZLJucPs3vc6AqqCFT84IHA0QgBbWrrdHiGANgbno+l3YjRGCbLEMFGr0bUlzlu8i36w0T6moh9U87PWOnLViSbQm5Olgg/4TR/0jXZtVSUcCZsZpbEEghRIqjVQACLSVyIdKkT1vzYkacqOXdu58Ybr2Hf+HtJafF+NSaKPIBLnobSuiqZk7Ds48hQUQlWfqVFV8P8QMOic46GHHgI2Knyj9u/LXvYytI4Pb3OLVghBkiScf/75HD9+nF/+5V/GWsu//tf/mt///d/nLW95C29605uqQGnHbbfdxlve8ha+/OUv0263OXjwIDMzM+PHMDr2xRdfTJqm4/YubLRmjx07xtraGi996UvH7eV3vetdPPbYY/zJn/wJn/jEJ8jznAsvvJAPf/jDSCnZsmUL09PTrK6u8qpXvYqnnnqKt7zlLbzjHe/g3/ybf0OtVhs/51GrdgSEr7jiCpRS53AcZ2ZmOHr0KAsLC+zevXsMDN797ndz77338md/9md86lOfAuBHfuRH+MhHPsL09DQf+tCHeNvb3sZ/+A//gfe9732UZUmj0eA3fuM32LNnz/f4Tm20mKQAhOTyn/0ZHv3mI5hGg2GRo3sdikEP39hFNy/IB5GBl2hJMzXIAMP1tWoNktUONV5ko1VISsaL8+gijSbSEVyVZUm3241xbjq2WbQyqIpkvrnSF5VpcZftQoi/1wrhS4Z5j1otGxN2q4dUtT57m0CmPidT2CQqtrr86PgjUcjGfaRU58TmjRJSYm7thgF3NFgOlEVgWObU60NajQYmSaLnWdUyiK0tj7UFaZrS7/dpt9s06g2MTqLYBcALwsBQ9Ab4gUMVKbYUhEITUlGZWW9kLo/SVUY/CyHRSYInYLAx/3X+LEW3Xy1kjvZ6m6yWYbIEmYzapRuiGu1ixjRS4ZDcf+YE523byt6JWea7He47cRSXpZGfmJhxu5UKVKsQ8DJ+boxzrK0uYcth5BwK6HW7aK1IkwSVZgit6Q0KwrCgNa03+DeVTQUyKvOkjLyqehbVqCEQzbFH9hWjlm81MQ87PQa5p1UbCQ0UUugxt0lJjTaKJAFfDllcPM3C2dMUeQflwSkLVqGKAS65iAlxkkR1SEQVdabqKF3wzXv/hr0HDjG1daTwhI1FqLrmqnaWYiPz+d4v3MPzp46TbA+IE47G03UGj36NvavrNCenEb5k+eGHkb7LYC1D7U/IJJx4/Fs8e+lhzj90MVV4WXWeUP2LzanRIiSq0x9/4ghPPfJN9NY95EWO8Hq8ybGuxLqCwg4Zln0K2cb5jDSv89yJNj43pHqCmkqi72Lw+K6gXC+ZcHsZPPIka0fvY26wSGkSivOvJjuwh4Eqcd5gXOSUejHafI3EWDGhxtoSawuKcsCg6JK2Aq36LN156MyvoETC9h0tTM0zu2WOfr9Pv9cjq9UoyzJ6wo3agiPQKX00nUbgRGDvpXv55tkHaQ80LdEi9RnBCZQKIAReeHq1PnKLJpuu08iacQ4xYkzRGH3G8QGcob+8zvKxBZqhQbPWRCU6bppEdDjU1EmybSQmIRRt8tBjZXWxEtt5QtVdkFKjdANT3xpdE5xD2x5elDg9xZ6L34TQU1CBVzmOsfhBAoQxcem8XXvYtctvgLUQk8xjXGNV5fNRKOODj5/Y+GO8er7N7WHz2KwkDiFUm65vuw9/36syOv5GjvfGLVEBHdXvaUwTISBEFZiw+Xx/Cy1LjN8XwT9GGsw/uoDkAx/4AP1+n0suuQSA2267jZtuuon9+/ePJd+/8Au/wK233jq2VkmShI9+9KN89rOfpd/v89rXvhYhBK973et44IEH+MpXvkKv1+Pw4cMcPnwYrTWXXnopn//855menj6HI/fqV7+ae+65h507d45Vqr/zO7/DcDgcg7ULL7yQe+65h6mpqTEvbevWrdx555189atf5fjx4+zcuZNrr72W6elpQghccMEF3HPPPdx7772kacp5553H2972Ni677DKOHTvGlVdeyd69e3nkkUfG4pKf/umf5tprr2Xv3r0IIXj5y1/OPffcw9atW1FKsX37du655x6azSatVguA/fv385WvfIUvfelLLCwscOGFF3LNNddQq0Vvq5/4iZ/gG9/4Bvfeey9nzpxhcnKSq6++mgMHDnzP4pGNNyyM3jjq+1/CtttuI18+S/nkcU49eowTuWLl7ICARsg0VuG9j1USBVtbGi1iVSFW8KNow3lHaUt6/T4gKKo8VmvLmNFa2Q4M8yG2tKhGpR4UIyWgOKfSF0JgOBxGE2cfLxlMciwAACAASURBVCxBFHUoqciH+djcudfrVcAt/lyWJfV6rTKfHbXGIzBLTEqSpngXc4NH3D+xiZisdUxnsK5SjHkX26ihyp21dgzKSlvQ73ep1eo0mw3StFb5AI6qCVUV0rux8EMKQbfXY3Vtje3bd2C0xuaBxTNr9Nccyico0SSjhhQF3eUSX5ToLRovLdZV9YGKg+m9r/KIfeWx16fTWY9RdNpQOhuFF0DWaOBcFAPVK1GNHFdjPaXySOdIQgArqWnDyZNPU64ss9jvMik1WmmKRCESg5Y6AsKqsuldTBPoD/qUZYFO0xiPV0EXbRJ8WTDo9WjoBJPVEN5F494K1AgfNuGqCjkgq/xgQQii2lxs4o0FQQgSJ+MCk/eHOG/igouqKnLVBkUKkJJEguuvcfzJbzHotkmMIW2mGCROBYRVFG43veK1PNY7Qae8nwvM8+hhG8tpkuF2fK/Hycce4/CWGyKXq3osm1aYcy8/YNjt8vSRI5hCo48FEjHJjDWo9knC/v3MvfbHKTttlu74C5qDHDU/x9piD5KAQXDs4Yc578BLUGnKxgswqhCObtjgcOE8Tz38TZIADBSWAuElLji8z6O5ry3IyyHr/SV8NiRfqTPoexpymrQWxV0jxW/AI3xJ4evUbAMXasidnvrqUabbp7BPP4GdfTlhegKvc8oQhSrRd22DH+h9jCzMq3MP8gG9fI25LU3WTwfkMKGlJzFGkyU1VFpifcrcllnmn52nV3QYyiFSCNI0oTk1QX22hWpFSxtZQQPvPa3pSc67ZA+nHzpB6JU0kwl0klWf3UCeFoiWpt6qUUtrlRChohXI0fUhIgcyOOjD2SOnyVxGM2uQmDRuAIXAq/jCS18nzWZIkowyCMLAkZcgk+pzjh93GLx30WLJ2Zgn7sEHRTb9cqa2XccI4m9ApaoK/QMyRvGl0VVAob7tc//dQNoG4+/7AbXfP19yVFcV31FhHX2/6eL9ARTr/F3jHxUMjtqdm8fBgwc5ePDgObddfPHF3/G3W7du5Z/8k39yzm1CCHbv3s2b3vSm77j/9u3bv2tbdN++fezbt2/8s9aaa6655pz7bNu2jW3btn3H39brdW666aax8GTz4wC47LLLuOyyy8a3Sym5/vrruf7668e3jfiLEEHn5lSR8847b6wyBpiZmTnn/ptvv/XWW7/j9tHYvn07t9xyy9/6++95CLmxqRSK3Tf/BIM8Z+3MIif/+E9ZFQ3SNCFVHqWqjEUvKJygKD2nlwsy5Uhrnpor0E7hbMCKqspW7ew2cn9jZU1UHJCiGMYdIuO6RdXm3ODEjSrCompDxwcbH0sggBSU1o0re9ZuiDpKW46rkKMJavzUq+NppbHBbtyHb5sSpMQ7R2ktgSrnV8noNzeqpliLtSX9fh/nHc1WM7a+jdlUldwAg8qr6jkRxQre0+50yYc5WaPGqafO4gtFK5mJ1jIq8l+c8+TFkN76Giuux8zOFlQxcM75cXvW+Yr8X5asLyyilCat12L1b5PpqR615Iqc3voaM3NbqSW1itPooz+X99RKyxwJcxMtGspQ5CUTKuWy2R2sFgVnS0vPgNSR46NUzI8dVtY6wTuyeh1lktjmBXwQhODwZcxqXltdYZtJMEYxjE8Ii8US0MSNRqwkRE5bWXp61TxtbXz+3ls8AYeNlQMfVcHD3hCdeHSwICwEjRcOLxJ0REj01lc5fvQBhLQ0mjVMEsU6QghMBW6V1fg0ITctjnfquN4DHGwcJ7MLhPYcQnhOP3OSy/z1IFVM0xChihKMXFs5ansTl76lhQWKfo9J06SRpzRrLUJSsFSvM/nqVzPzYz8ORc7ps0vIledpJQ1MmdJe64GEhWefo9/r0EyTjZpgZf8UYFwJFUEQpMDmQ5affz7m+nYdVpexTYvH+SKK9oo+7cEyq+vLNFyKp0krmSRLJjCViEdKOV64lU9jFViVFHI7/T1Xs9KYZOvJAdnqEsvdJURzC46A8QqvfVV5EZsAkKWwJYUd0M+7rHWWGQz72PYEqWnRNFORg5wojNagAzpJqDeaaFboP9smpYlSkjIMWQ+r0JBsObCVmT1bsQmRC+yi1+jWfTtZ77dZemqRQS+nlseEITTIpqE10cJkBm0MaiTQGplYb+YaO8mZ589g14a0apNRPGdMFG5JSajCJkQocH6IdQMcOUEWgKfIHWUJ3m4AYln0EDyPQFL6PqUfUjLB9gNvACY2uizjyeoHFJz8LQ/ru938nTPvC3Ci72HI7/Ld33rsH+TX+ruMf3TO4Ivj/79DaEUqEkRWp7F1K9sGPSbqjiyLUn0hIqm8KKE/sKyohLW+5Mxql1pNxixQFFYwbquO81irSl2e5xHOhQiinLPjNuuImzcGc2UEWKM2sXe+Uj2GsdDG+wgSyrLcpFCO53f23GNvLDx+fPwNZZo7574bx3cMuwVpQ8RKFJIg5VjtOGqt5cWQTqdTJahsiFlGX2NLmupvxkIVL0icJ037rC6vsXa6gKLGRK1FZjKMNrHlXVVlTWUyvdpbYXW+x/TWDGeiAlhUr50Pnn6nw9lnnyNNE5J6HZmYylB6BEpFBaxsXEAHA9ZXljFKEZREIkmDI+kO2IlmrlEjTTPQBo0BPKW3NMqCxqDPc8MhPaUh5DgRwVt7aQGcI202x0pgIWJm8Mgc22qN0Ro5HLB69jTbZgSZW0Dm03g3hSjB6yJmMrtYlS3LWPmzLlICnPMb75+zBJ9X/LEh2FWmzApu0CbrLpHoPQSzhxAysAGEJc+7nDr+TYzy1OrNqBY0apzGMhYwaUewCpSikBdwfN2gu20O6Oep6RqdgWNtvY0tCzSGhdOnOXHsceafO82g10NpzfTcLLv2H2DvgQupNVssLy1RFiWNNKOV1shShaw3eG7nNpYadc63ARckg11bSZPYovJS0AwJ/e6QbqdNv9ulNTXF2tIiJ48+wfMnTtLrdiHAxPQU23fv5sBFF9OYnqHb79Dr91GFpZYqhvkwAsEQsA7yoku/XKZj54FATc/QTKaoZU1SnaLVJt7caAkPVavPgQGCnGNlSjCYOM36sE+XAWl/LaY3aAkupr2MARUO5wpsUdLPO6wVZxmENnXToqa30khnyEyK0gphItfTyxDb+yphemIG2XekoRYrvSFuGGxpWf7WAiunV9hz2fn4Othg8WXAFSVzu7ZQDksWjp6FpSVSrZF1zZ79F6AzTTLKN9YbLgmbN3YxTUZy9unnSFWCqXKKlVQoE0V00lRVbNdjOFjAFatgh+CH1Gqa1VVPfxioZ6BLkKIg0MGGHoKY3e4KR7r1RmoTV49ifV8cL46/d7wIBl8c/6ARJDx29GG06zA7l9LSkfMmpahAXFx8G2lKlpZI4Wn3AqvrDiML8B5DMvZuG6nunPPjtq0YcUQ2t1o3ceBGLdoNp/kNALcB2mxs31oLAkpb4Hz0ngtQAR0/Bl+jLyUdzsXj53l+TiXRVuTkzYIMW1jaKwMmpUR6sFLFNrHfBCptTq/XG2cOj5TKm41vRwvJBv+RaEUiA0ppjDasL3RIypSZVpMsyUiNia1brfEBgrOV8EdjU8n62vMktQFpU58LWrynGA4xWld2ISJ6/BlT5THHckXwDm9hOBhQ5DkewZkzp1FVtrAIgYkAM60ZdKOB0glGRimEFwHlJLlS9PMeS6vrrLbXYntUxGcXzVglwTp0mkWPQDlS0nq0dwgr8UVJaUuUKJkrH2b/1FMMh0/Qbl+LTX4I6yeQziGErcigRFK+OHfz4JwlOEsoJKLokaw/wNTKZ5nxZ0hUB9YNRbtBv3YBfsdP4GeuwSnNwnNPE9yArFnDJDFmTRu1qWVOpTaXOA0JGkJJXu7k5NrFNMoeOkmQReQcdhfneej++3n60UeRriSV0eeuIHB6/iwnH3uMh6dmuOraH8b1ezhXkma1aKmkNZnSzGzZwle/8iWGwwFlXhK669SyDOc8CYaQJNjU0bMl+XqbB45+nkcfuB877JEJFeUFAuYX53nu6BN86+tf5+AVV7Jv//nYoiQ1BkSgN+gSIJonlzm9QQeZOtCeiYkmrVqTWpJUILDK/FWqAnPxtXE4lI+td2+GZAhsOk171xUsT2R03QCzfIaJ5pAsy0hVilTRYioQAXzhSvLBgLXOCrlZp940zOit1E2TRFfnH0XtSQmiRMiA1KBqBp1pUp/FDauISTGmUqR217qceOgptl+0i1JbbFlSDAqGywOa/YypuQP4VmDoh/R1H9006ESNW8Ij2sjoWh5V+51zlMOc4WqPKTE59lYd21ClCWmWxs5CociH6wSxFkUz3jI5mfL82Q6r7ZxaWpltUxK8Q5YGEIiQU4rd7Nj/syASNlhtm+bsin71xBNP8MUvfpGFhQWmp6e59tprufzyy//f04e+xzGaq4Hv+RwjAekzzzxDrVbjNa95TazIvkCP57Of/SzdbpebbrqJ6enpF+S4zz33HF/72teYm5vjxhtvHL/eo3VpI1rxB2u8CAZfHN/3ECGgkRzY/xKOnngWVUvJlAYtxxc9FdiQRqF1QAlNsAlLyz3qJlCvq7EtwOaF1DlHt9tFeR/5QlKMgVdRFJXHnkFaeU51bwScNoM66yylLSv1WTQm7fW644t0/HyIlbg8z6nVatEGRsSYI9hQEI/OtXH8WDUsioJeb0CSzNDv9JC+ihWSKlqjeFfFzg1ZW1sjTTf8C0dfI1FLmqakaToWoTjnkE5UIhtQMkU4R83Uo/+dkWgTLY+0SQgByiK2lrwXpMZghjXWV9Zoio1WcuQMemwINCZaWO8Z5jmOwNR0LYpilKqqqYGlpVXKfEiapchKaYsQkeQfPG1X8lBvhfXguPK8A6QmJejotl8UkiPzz/P42gI+TTBJMvYRFCGQeI8rHUVlCTWzZY4kMQgpcSHgypLBepthv49JUlKTMNcKXJAu48oFFnpPcUa06cnX48RGxBpBVwuRGFdoI0fRYm2Bs33U4qfZunwnO5Ml6kYhjUOIHqXtMCiWWXj6UfrFLzKYeznd9gLNZoLWCdKoytdQbWqHRsqDEAJZKrwZon2CSx39bB9PLz1NSxsS4yl7bT7ziY8x6LRpGIOupeNsYkTMCvbeU7ZX+eJdd0CakWiFSaqqk4wenfu2bKE4dYr7P/9Zdm3fzqFd51F6SwkQJE5otEkQxYAv/9VnKNodalrTqKVVFT8uUMlow9Lv8/CXvsAzj89hAJNoCjtkqf18tekZELxg65bzyG3J0vISO2anSUyGlhlapWOV/0alW0Vg7qNtkvWKoQlISlKnsLVtiKJEdRfoDrr0BtFYvpZEZa4QkjASZuUDyiJ2ATIzSWJb1BqTY86tVioCSKWQMlRXN9FGRoFINNonCKEwlTDBeUuQllQnrLsOC/PzqLqKHYd2l2TNMCEa1JtN1GSK047T7VNIs8FfHrX0RzqmeC1Hr9GytAwZQukQJhrsj+4ohUQpQVIzuFLjrIjXveqDDxTeMTlpQHnmF+M8EEScD1MNSuUEIXFesv2l/xcm2x136t+GuUbdlD/6oz/i7W9/O51OZzxf1mo13v72t/Nrv/Zr5zgn/EOH954HHniA//7f/zu/9Vu/RTriq34PY2lpide//vUsLi4yNTXFww8/zO7du//BjymEQLvd5md+5mew1nL8+PEXDAx+/OMf553vfCf/9J/+03EQxLFjx/jgBz/I+973PrZu3fqCnOeFHi+CwRfH9z2iAa5g7949XHThfk6cmUcZg1SiMnuOk7dzDiVAhJRGBnMTnlNn1jizmLNtqkZWD+PJZ9QmttZiEKTRHA4fqiqg0PS6/XF7VVSSx9Gua7Pp9AislUVBnucMKnua9fV2XLw38fKci4kiI+PyLMuqhV2Nj7fZdHqzMrcoo8XBYDCgLEtMVsPbNqJ63HiI/lYBpSRpmo6V8hsv5rk/jkDh5la1tY6izHG+xDuBdwqdjOxRNFIZtEmoN2p45wCPdRqkRamAloZBASEInAsbPEogaIWsZWjnyZSizIcMux0mtm6PEXBlyemFedxwQL2WIdIMpZMqjk5UPCePdAanEk70Opj5Z/jhl7yUhkoofODB557gsfYioVGPyTIVeAqj98wHpLYIJSjynM7aKuft2k2WZZSlZWFtjcGgR1JL0SZFKwjJLDLbQqbX2SH7+O5nOG3mKOR1hHE12VbvdVV53tTat2WBWX6Q6fk72VOfRzcSpKrTZwttP0VX17EiwYuc1bMPY4stSFGg1SRCJUglKp8wXfldaoQg+msS24wIiS4ySu0JySxnOURDgFYF3U4XWzpaWUKmNV5InI9tWES0EDHaoKXADR1PHX+ardOzlXAqoBF4pajVDFdffhk+TcmMwQ0GuHyAtp5SRL6yEgrhHb21ZSazOpkxhCrv1/loPq6kIFEKkwqkEyyfOY3wAaUgSItotXGDkkZjlm0z+3FlyZmnHyMhI1V1tEwQMolVOCUiGKt4cUrHTYWzCusGKB9QToHQMd9YK5rpJFuntjEcDllZX6BdrCB1jmykKCUILpD3clzhmJzewdzUNhKt6HZ6GF2JP2SMt1QyevwJUUSFqieKjZwnlSmpjMk0BLDeMQgFA50j6obZ2hwiiyAPDxOtCdy0x/csbhDIfPT2zF2BDCM+pKhMnTda4dGeJ1QAMXKWgSicC9EE24dogl+WOf1+wFdc6sGgpFBR3FUWirLwpGmL5aU5ThWePC+Ym85p1jxKCRAW03wZs/tvBUwFBM8VMAghWFhY4O1vfztlWfL+97+fK6+8kkcffZR3vetdfOADH+C6667jR3/0R/9Ba8Pm8ad/+qf8i3/xL3jd615HkiTf89957/mN3/gNFhcXUUrRbrc5ffr0CwIGAQaDAbfffjuzs7Njn94XYowcSq666iqEENx3333cfPPNbNmyhbm5uRfsPC/0eBEMvji+7xEVlvH7q664gvm//ny0BTExWUMgcN6DsAQhkEFgrKdZNzQySW99jbPDNvVWnVqaVQAp/k2eD5nM6jQbrajIcoHCOZTUzM+fjVXDTeX2scAC2KyLtNZSFBEIDgZDGo0m9VqjMg2vYpAqSwlnS7SJUW+9Xm9MevfBnQMEqY4+spgpijxaVvT7zM7OoqwiqzdpzNZRUlRq2SgqGHEP87yg3+9t8A05l9dYliUBT6/XY/7sWbrdPqUtCMFF8Gs1XgpKlUetbZCIUJmYSo2ocphiVFdU2I4qFbOzc1W1JD4P5wNL3SEmb1Moh66qG8NeD2zJzMQMz5w8RXd1jazRQKYpyiRIE/OkpZAxyC84vLRIBGUt5anVBS7o7+bynbMcXVvk4bPPIhrN6BFoYmqA3BQPFnyMiRsRr4f9HuWgx86tcywvLdNZW43RgOO/VzwjrqLuZjhPPcxs+hTb7DLt9a8wX78MmIixVdrgrQOhkMSqoAsOZwt8MSBZuIctyRImabEqdnPaX8iquJwi2U7QtSicChZnexRDCDLDBVGFzY8sPiRGaepZtCwa5nlliixQTmGlRyqBlppBspMwXAAsSmgykxAQrPa6EaQjzqmsCwFZLaP0Al/G6rSsxFERggBSoJKEyYkJBNAtc0QhiE4iYXwfIQVJla/cHfbJ8zIeR0Y9sa+SWZI0wSSGxGQM/RABTM022LZrP9YGyoEgDAtOHnuGXt5mojEXP3dSgAQpVPX6qCqJR5LVYgJJPnC43GBVifKBgEbKWLlVQpGZJrOT25g5r8UwnaA1mWESjVTRfLzIS/rtnLTchsmnGPS6SNWvzhdjChGqsvEh5kxjqwq4BwtGmep1kHgc6+UK3axPMlknS1N0YqoIw4pm4D120lIMh5RtS789QOWBosijN6cPUfDiPOiYaytDVMcPC4vzFfdXCjAKX1pCYmOaj9VRRFcIcueRQeKtxVqPkrFyPxgG1joJImxDkNLrB06d7rC8ImlOFNQMoBJeefObEWKGiHzZjAPjfCAER44cGdusve1tb6PZbHLjjTeytLTE3XffPfbwffLJJ/mbv/kbdu/ezStf+UoAjhw5wn333cf+/fu5/vrrCSFw9OhR7rrrLs6ePcvU1BSvfe1rx0lhd999N3/4h39Ir9cjz3O+9KUvfVcR5LePEAJHjhzhD/7gD9i5cydXX301d9xxB0ePHuXlL3/5Ofd7/PHH+eQnPwlENxKlFF/4whc4cOAA1113HY8//jj33Xcfl156KWVZcscdd3DzzTdTr9e54oorOHjwIEmSMIq9/V//63/xyCOP0Gq1uPXWW8dOJ71ejzvvvBOAn/zJnyTLMtbX17nrrrsA+Nmf/VkAHnzwwXHy2H333cfv/M7vsLCwwN69e7njjjt4wxvewJ133snKygo/+qM/yo4dOwD48z//czqdDj/2Yz/Gtm3buOuuu1heXuY1r3kNf/VXf8WTTz7Jr/zKr9BoNPjiF7/IF7/4Ray13Hjjjbzyla88p7jx/YwXweCL4wUYglazxaUXHeLxY09GZayOhsKls5DHtpmWjqAlRhsaWY3JRo1i0KOz0magetE9XgRKZylswb6du8iyGkGA9B7jPUkSEyDOnj3L+vp6FJiIDY7O5uriqCXiXMwybrVaTLSmxobVG7mQI1VtiUkih29hYYF2u02e5+e0bzdzP0bgzVpLv9+n1WoxMzVDf76s1MExo3nES4weZg4hJBMTE7Tb69/GT9wAi2VZcnb+edrtNmmSYkxMMhEyphhY60lNYDhYpmejOat2DYp8SMc7CIGiKMciGu8jMBYmYIxGKVGpvQPSB1LjSLTBB4EPsYLmbcnS0iJTk3VOnTqBMRnSJMgqqk7rCPpVBQadE1gxNr6gdCUPPP0ku2e38OCxI4SqhR3/vmqvqpHhsa/a6AEVDISAt5b5hQV2bN/BmbPPg6BKGDFjgn5oXchScpClwVVsc3ezM72PeucEbu1JbPNiXOKQiUVX7bhRC9d6H+042idJ+k9hJyZ4PFzDGXEDNPag0kb8DCs5VnEH78ispcgH9AZtEJZpU9u4CoSoRAqSorREe4mqPSn8GLhJFT1SRv/yfEjfWbLEkNWysaEwUFXWLcO8oDfIEYJoJVJVPT0BXdnyOFsy6PYQImDLkuBc5c9WFacrpbwtS9bznNRo6vUaWpnKPifgAjjrGJYFg3YbrTJ8JF0iJOg0wdQktZbADj3JYklYzIl2kxU4FT5uFImmJgKBVAqTRLqEzT0KiYWqsj96BROEkHhVkGc9arOWqdYMUilCcGNaR1rLaE7UGLa75CsFLjd4JIKETTtCECHatbiALwKuXTJc7FKc7dIPEt1QtGZaLNp1ui1Lc2KCpB6BoNbV/CBH84MnsQlJkpFnJXnWpzffZjDsUxSOzIWq0ufwXhGiwwsOR3A5vpT44AjB0djWon+qQ2JTCu0IoiBYj/MGoWy0OsLRXsoQskE+tLS7Q0qXsH37PqZnMhZXFmmvGdody1rXI7FcfMWN7Dj/VTjYZCF+LiIMIXDeeedhjOHo0aPcfvvtvOtd7+Lw4cO8973v5b3vfe/4vn/0R3/E+9//fn75l395DAY//OEP8+EPf5h3v/vdXHfddXz0ox/lrW99K8YYJiYmOHv2LP/xP/5H/sf/+B/81E/9FP/qX/0rjh07BsAdd9zBoUOHvicw6Jzj3e9+N/1+n9/+7d9mcXGRO+64gyNHjjAyygf4kz/5E37pl36JPM9ptVr87u/+LjfddBMf//jH+fVf/3Wuvfba8WO+9dZb+cxnPgPALbfcwgc/+EE+9rGP8cEPfpBrrrmGhx56iDe+8Y0cP34crTXWWn7zN3+Tj3/849x88808+uij/LN/9s/YtWsXb3zjGwkh8OCDD/LmN7+ZgwcP8nM/93OcOHGC+fl5pqamuPDCC3nrW986BpDf+MY3+OM//mN+/Md/nH/+z/85vV6P+++/nx07drC2tsZb3/pWyrLkwQcfZHZ2lttvv52yLHnFK17BX/7lX3L48GHe8Y538HM/93N88pOfpF6vY63lAx/4AL/6q7/Kf/pP/+nvfV3/rvEiGHxxvCBDBLhg334WFhbp5wW1eh2TGLrdbjR3lQInIZr2CjIjybKE+swUvdZEFCtU5tvelgyHA7KsjvMliMgBSiouokAwO2tZWlqkVquNo9VGQgzY4A8Oh0OGwyH1ep1Wq0WaGZIqsmgE6MaVnXEihmB2dpbl5eUxd290/A0wGKrjDxgOh6RpyvT0NGmasu7bZI2JSB5XClG14kbnCiGMs6PzPCdNU5yzUWwiBEVRMD9/Bh9iPnKaZFWOcWypRhK9w2aWIh3S7S4RBp45sScan7iyUtNaXOmwpaMoC4blgNpEQpLoKPCRMadXWE+iNakxlA6EcngvkcbQ63c5dvQotrQkmRobTY+4YJkxJFoTfGBYVi0wH2LFNUk42+ny8KmnObW0CK0GaFWlgiiMVtRNipHRe7Jvi3HLTFSu/sNel+eeO81au12JSmJrT1Ym31nNkNVblEmN04Ofprc+w1T4MvnqCYZ2O7qeYUyKljHPVARidJotKcocvXwcyoTjXMta64dJattJahlKp5WaetNC6j3KOaSuo0zGoLeOWBswO9eIWcTOMhgOkEJSlEX1+XJjBXvwMTbNO1+Bc8ewzDHa0MwyalkawbVSVcWRynC3yvFWujqew1aejGYkorKOMi9wNlbInXVYuxEX57wbi6+EEDTqdbLEkFSfeVkJSLz3OK1QWpIr6HaH2OBwLkZCDgYDbAUMjdbIRkF9VuD6ZbU5orIq3FDjBx/FQYN+5Gza0m5UwSuVuK9MfhxDyqygtlUi0uhCALHFumEtEzcyuiFRcoAdduP1TBnBWPCx4ugd3kny1QHPP3WC7vwKwQqSkNIWHZa769CH2u4Gtek6Sa1OmkTPP0lMO5FBRidhGQjKIrRHSYEQJZaM2kKDYb9Po2jgS42To/SbSrohAtIJrIim1rjA9pfs5JFTDe+DzAAAIABJREFUD5LlDYSISvsQ4oZFuJgD7UUgTS8C2Udrh9J9Ov0+1pZMTCRsmdqB84FhUeJ9iWru5IbX/UKsrMeG/2hm/o65ev/+/bz73e/mfe97H5/61Ke46667eNWrXsV73vOecerW5ujTkf3b5hjYq666isFgwPvf/36GwyH3338/Bw4c4K677uKjH/0onU4HIQS/93u/x+te9zqKouDee+/l/PPP/zvXkRHQu/vuu/mLv/gLrr32Wn7+53+eT3/600CsTI428MeOHeNXfuVXCCHwqU99ile+8pX8u3/37/jIRz7CKMIVGCeY3X333bz3ve/lqquu4pJLLuGRRx4BYtLY6uoqP//zP8/TTz/Nr/7qr/Jv/+2/5eMf/zi/9Eu/xAc/+EFuvvlmHnzwQay1XHnlleN14r777mMUUyuE4LHHHqPf73Po0CHm5ub4r//1v/K1r32N5eVlPvrRj3LdddfxxBNP0G632bFjB3v37gXg0Ucfpd1us3fvXvbs2cOTTz7J2toazjnOnj3Lxz72MS655BI+9KEP8alPfYpbbrmFP/iDP2B9fZ3rr7+ej3zkI7z1rW8dH+/7GS+CwRfHCzJCCBiluPTgIR741iNjzt54F1dN4rGl6dFEBasyKTaboDssGfZLgodEaRrZJIPCs7CwAFIgg8QYTaPRHCt7Z2dnqdfr4/zgjTK5GHPFRjFxI8sZ7z3LK0vjiuKYRxZAKUmz2URrTZ7nTE5OUq83SJNsE1AcGd+GsRrYGDNWBwsBWUuRNtKYUlFVwbz14/xj52LUXqvVotfrjYUkEaBaFhcX44LdaJCltcqLTxEDCgQ+iGhE7V38O5nT6ywi+wmT6XZkPE0FiEvyMqdfdMldl91bd6MrAYKUsuK2WYzWkXwfHGWVlDFqoT//3GkazRZCq0r9K1FSkihNM8uYqNcpS8tqr0fpHcFFNawVkpLAo6eOM8CRjKPiYtJHogzNNKNVqzHMc/wgYJ3HyUgtoGrBzs+fwTmPGYlVKgVmojWJaSDTBpnUBJ2wLm6gW04yMzHDyeV1hss9avUJlFE4ZZDBgnUUgz6q7lH1Js/4HyKdfAVqYgeZnkClGmlEjIyqIhMZV308QpVIXUcIQa+7glrtMzvXIlBUJuvVaz+yQXKb1ObVBqUoLe1uFyEE9VqNLE1IdZV7LDcEWBEwbYiLAi06nU70qnSacixqKmOV9xwRVokdCZysIy8KtNYb5zMmgk85ug7i41bBV2IICF6y3u+RFwUNqZhoNghSYa0jz/skqSapa7wtsaHcAMBVZJzzJdIKiiJgrYtzwCaVvwuj+1bWTmJINplSBo8bSpq1GklqEEJtUmVG4NsZ5ATpySYd7bMF3k0SvMUFg/IO52LSzOmjz5APukwkE8ishpYapGMlrKKmNdlEjVotI9UGt1ay+uwCneU1fOlACEyWMDE7zcy+OZIpg8MTQh3fEuy64DxWlpfJ+32yJKWUDqSt3quAD5Vp+9jvKdDaMkVrxxTrp9airMUrXKJjFrRyhABO5MxNTiB0jGVrlhM0W5Zur0eZl3hlSFPNZE0jdY3zDr+K5uSI9xYr0gg3sms/Z64WQvDv//2/54YbbuBDH/oQn/vc5/jf//t/84UvfIH/+T//J294wxvo9Xo8/vjjCCG48sorAca3GWM4fPgwUkb+sxCC2267jZ/8yZ/k9a9/PX/2Z382pvA45xgMBhw6dOicGNi/awwGA37t134NYwzvf//7UUqxd+9ejDE88cQT4zXlz//8z1ldXR2fF+Atb3kLH/nIR9Bac/jw4XFcrZSS//Jf/gu/+Iu/CMCzzz7LyZMnMcZw+eWXc+edd3LkyBEuvvhifv3Xfx2tNW9+85t5xSteMY6pHQG/0esxUjqHELjqqqsIIfDAAw+MwSGAMYb19XXm5ua44YYb2LZtG5/73Ocoy5KDBw+OI1gfeughrLUcPnwYYwwPPfQQzjm2b9/OJz/5Sfbt20ee5/zhH/4hSiluu+02VlZWCCFw6NAh7rnnHk6fPv0iGHxx/CMPUVkFhMDszDQ7tm3jubNno8Gz27Bfie3KgAuOMkBJysJySbeAIAzIGiAIhUP2+sw0J9kzOUXAEpykKEvW22uUZYmUglpWJ01qFf9PfUebeLPha8w1XhtbPTQajXNEHCOeXrvdxrnIm2o0GlGootNzqo6j+8fji6qC41lfX2cwyNm1fSdCg5KKNDGYLKMYFmNAEDlfsfq4vr4+5ieGEMYil4mJ1jjXcgREI0k8+heqUPnoBYHPYot7fe0sMhhSVSfgCR7KMmeQ91nrLtDcktCarkdT6STDJIbhIK+yWP8f9t401rLzrPP9vdMa9nQmn1OTyy6PsU0cm9gdJyHOFfYlmAxwo5auuGEOIkgQKRFIV+iiCJBAEAYFQUNQkMIHCNxOAiSQSISk6ZB0iEPseIpjxxUP5XJN59SZ9rjWeqf74V17V5VDX9LdTn9o6pFOHZ/jtfdeZ6291/tfz/Mf5II3duG8pp+j86hFp2M+gUuDQInAaIMPoRVGJm/+eeqVALaHe8Qyn+fAX8j+EGLR4bPeXTRmjO15TNvPJpOUmLGYDl2IbEvj5mR7kqOhWKdevR1PQ3/FYnwP2clQKkvZrTESQ4Ove3gxpRGRkB9Fd68g1wWiIHnFmWQCrMRFhsFR44Nf/J0xQO4GDIe7lGVO2VWtmXfi3i0oAM7hXbIosXWFkpL9yYTpdMrK8gq51mRaL1JmUk7pXLgU8D4Ajhg1IQs0eU7TOLS2SQncHpMQQ5tnPe9eO5z3NNbT2JTlWhQ5eZa6uUZdeL25mnjeeUzJLZ6QZRhrqeqaqqoZjkZtp16Tm5JDh47S1J6t6YjazXC+kzwAlUEGgfAesIl6IAEUtMfGta+V9tPivCNmHoxHkUBrCJbRqOJik18hIlpLep2S8XQEOuBk1cY9upSogyfIiLMK5RQiJuufvMgxGBwzfLB0B72kbnWKra+fZv/5PUw05LpAt8fEjQN7w212XjjH8nXrrF93EG0UhQ/0+n3Gu/uMT+/TnG5AKrTRdAcdBlcs0V3t43JBlGlu7GOAEDl60zU8vvsw26NzDHyKuFPCI2RARElgglndSb8ziqANWucoKRhNJ4ybEaWYUbFH/8AtXHH0DogXLedt1vWLEzr29vY4d+4c/X6fu+++m9e97nU88sgjvPvd7+bzn/8873vf+3jLW97CyZMnOXv2LIcOHeLw4cMIIfja177GcDjkxhtvZHV1lTzP+d3f/V3e9a538dWvfpVf+ZVf4Td+4zf4kR/5Ed7//vcjpbxETPGt1oc+9CEeeOAB8jzn3e9+N0KIReLTuXPn2NnZYW1tjYcffpgYI/fee+/iscPhEEiBDYcOHeKLX/wiu7u7bGxs8La3vW1xQ/HEE08wGo247bbb6HQ63H///QDce++9i3WhLMtLQiO+/OUvX9JxdM7x4IMPorVeAN0X/70PP/wwTdNw9dVXs76+DlzoVM63iTHypS99CbjQhZ2DzLe85S2LUIznn3+enZ0dQgj8xE/8xCWUpbIs/5vEOf9SXQaDl+slLQHccN01nDl3jnE1w3qfuEvOE226WFfOszcL7FQOUfTRRYaQSQkYRSBiiU6jO0sURQchGmJQZL5I4GY2pa5rjMlS9NNFvnwvVhPPgWHKIVV0u93USTQadVGu7nz7pmmYzWZMp9MLmcQ6vYaQYqGcnQO7lOGQMZlM0FpRljm0IfeQLsdSigW4iSREFGO6a+z3B2xtbS4A62QyYTDoL/wH5yB3vmiz8FoDKSIiKkIwuKykzobsT8/QVesQBD446mbGaLZPHcdcd+Q6Ag7IW+A1X2CTiMQ5n7h0IaQOV5vIEX1oR5wXxn4+Rqz31I1lbzTEhYC3bResHf0lxWSy9pHBJNPJEJKtS+sZOa3rRW5z7Tw+zIU08y+Pcw0qSzxC2mzhGCLeeVT0ZMoQAkTTIGOOdsuM9vcoO0vkpk/oeEzMk5Azaqys0FbjqwmjoaM/WMGYDqqNETMyjWSllK3timhfOiB8C5CjIJhAlhc0Tc7ecIw0HdS8MxdSJ9G7BAZdY2nqmul4n0NXDDj72DbLeUGuNUYlexjZ5mGnc2/SefEeIWzqrMuAUYrcZMyqhqquU9epPS8pZllAbDOt23FybR3T2YwQYur+KoVWEqVkC0ANSmmioDV7bwghATitIMsMtqrwAXqDJUKIKYVmOsZkhvWNNc6f2aeaTWhcH+McQtlWzJoM10NobxiFb43gU+fUtck/1tdUbg+57IlSkGnFbDZGqZyyLBNAF7Ll6FpmdYOr9ih0zkhEfDZlVu9jjEbqDB8dobWyKUyOi5rpNHkk5kurjOopdDWqmyFj5MxDzxG3PP08XR+0SkbX6fMW8b7GOsf+17aZ7ldc/cpjSCMQeUGvs8Jka4i2yU+RGBid3uW8PEd5sM+hm49i+hpIYhBsRHUkR269kmcffIpqXNGruxiTBC0ySAhDmuaraD0kRgNyDa0PUxZdbNA0s2fJ1CbZcp9b7/pBlM65wA8MROY3dimOcV7vfe97ee9738uP//iP88EPfhApJbfffjvveMc7+PznP7+I53zooYeIMXLLLbfQ7XaJMS64b7fccgudTocYI7fddhv3338/X/rSl/jQhz7En/zJn/DBD36Qt7/97dx11108+OCDAIvx879We3t7/Oqv/ioxRpqmWXTaIF1zZ7MZzz77LKurqymdSohL6Duf+MQnFt07IQQPP/wwzjle9apX0e/3F9ewOWibj3xnsxkxxoWYA+ADH/gA3W6X7/3e70UIwYkTJxgMBlx//fVAAmxnz55lZWWF6667jhgjDzzwAEqphYBmPla/4447kvl5e2znvwOYTqd85jOfWXRhvfc89NBDCCG49957F3/bvLFx5MgR/vqv/3oBWkMIaK257rrrvqVj/F+ry2Dwcr1kNQdiZW54+c038bn770+kah8JvsY6T9N49kcVO3WBKVegzDE6mU5HERGo1AFRmizX5HkJZBBAB4dSSXEoCIynYzq9DK0MRsuLfN7kooMDkeFwjxA8vV6fsuiiswyjQQudOHgCCAEXfLKmEBoBDPf36XS7CK3ahVMjpE5k9mBxTQKSo/EI2zj6vR5lkXP67DmEkgw6PdY3Nui0ySbWuQu8ppCOS6/TZyfssH1mh6zM6fY7aJ0tcpSTbYlKo12T8pV9sDQumT7LEJFKoXVatHf3RuzPZmhlILPoEooBdE3J2c0zyC1JWXa4Yn2NlZWVBMRCa+JbNamjhSX42Haz6sWXdBbhA0E6vM+onUVEmPqGGATBpnis2PLkZBPAOZaNZFSnPGgZPdornPQ0TU2MgVkjCDFx0pzzRB8Q8y5PY5FRYF1D7mpCMBBCGo9ai0cmkUdUBDRGOmLbTdU6I+/lrfHwPAFDYKIhqMBwOkIJgTYy+QUqjRIGoUQLwE0rtEkXY+cjQUgEyUA7KkkwiiwvmY6ndDsNWqfOVWoABZz3hKqimjXU402Wpl/moB7h1g4jmtTtFTJ1K5RI4MzkOUXZQQioZ7PUzfQBJ/xCKKVygxeS4bSmm3mMmXfGk28jIXETGxcY1xaVFShRt96ESdSUuJ+arCjIi5IYI9Vs1pqLJw6rlJ5cSKaZpru0Sq/TT0C+KGlszXg8RBtNZ7lkNN6hmBVomY7hXCSjokNJM3frXNxM2RCxoaZxM6p6wmi6S/9ARChBXTv6/S552SE3eRvL12ZYh4DOa5qZYTzaR2WRrJOxv7uNUSVKaKQBLQxeKozR9PQA53Km1Yj9fcNITNAHM7RQbD1+CrfpWSoG5EWWOnBttKAUAh9EmxduUUKxf3rMmewFDty8kSYN3YzOoEu/WkJIRwyGGDy1r6nOTDi++TUO3LiBKjRk6fPsokdozcp1G9SjKb3uMkXRQRsFUqLIWSNghCdER22fZzzdJMajKFmxunSW5YHk0Hf8CJ3lVxDjxW4H8qJ+4KWxaa973ev4rd/6LT7ykY9w7bXX8vKXv5zNzU1+53d+B4D77rsPYwzPP//8AoSNx2M+/vGP8x/+w38AErAbjUa84Q1v4Ctf+Qp/9Ed/xA/+4A/S7/f52Mc+xvnz51laWiLGyOOPP55EP3nO1tYWdV3zi7/4ixRFwR/+4R8u7LPm9Zu/+ZucPHmS7//+7+fDH/7wJVF+b3nLW/i7v/s7jh8/zp133slNN93Exz/+cd7//vdz880388ADDyz4gnfdddei4yaE4DWvec0la9S8E/eqV70KIQS33norQgg+8YlP8OY3v5lPfvKTvOc972FtbY17772X8+fP45wjz3NmsxmPP/44P/VTP0XTNBw7doyNjQ2OHz/Ozs4OBw8eXNjfzHmJvV6PU6dOceDAAU6ePLkAu2fPnuVd73oXW1tbLC0t8bKXvYyqqnjkkUdQSi26h0IIrrnmGo4dO8Zzzz3H8ePHefOb38zv//7v89u//du84x3v4Nd+7df+R5bvy2Dwcr30JaLk8IErOHroMN947iQuWJxLCsfhtGJz1yHyK8iyxJHRMqAkCJVGXCEKpDUJsGUWFT1WCIL3SJO2zenSDMc0daCTp46JNmlEI/A4m0aJ1WzMeLRNr98nzyUmE2TaJ1Ws0smSBYUPDdJnCGYgwAdD7SqGoy2OlIcxRrQpEzkEaGyFMw58xWS0R1Ho1o4jo1wpCN4xq3Z55uQWg+UBq4MrmE4bptMdmlq1gGnGZORZ7q8hyNje30SbiDQ1QhuiEqBBaIHMBLo0ZFrRNA5bB0RwCN+k0a0KkNXEckQTLUWvT6dfkOUaqZNFRgwQg6ex+zz/wjZbOx02Ng5iXWBvuo+vAiJGRHBI6xC2AWcR0WNnU7JuB2UNURii8ug6ASLvE7csRgc+EB1IWyPqCVk9Y5VIMxsTmwyyDsoWmFCAkQSvW59BD8GhHfhgsR5oavy0QiuomwpvS5Rt2mauJ0SPCA4twadDRRACL9OCG2IgMyqd5xYAJfsUiReOyXi0EPkoKVAiokRES4GWkMmYbjKUwHuwBGRIvVUn002EEiJ1mEOgGk8oixTzF0LKjvXWMbVT6vGElfGT3LL8DXrKs3brG3jsoaeIQhKFJAhJECLZv2hF3ikRUlC7huAkzkaCFHPLSrq9Hq/73vu4/wv/xLkTz1HaNt9WCIIQhBioncNJyXWvuJWjVx7h/k//faKtiXScghBEpRBak3UKiFDbhiAlUSSFd0AQRRITXX/jjZBnJJ/KZPNElIyHe6wPVtizL7BX7ZCpDiAhF8ToWkGMRyxEDe1oODQ0rqaqZgzHQ/am51nRBwkusDQY0C076LyzELmINukm+IAUmgwDHvZGe3S7BafHJzCyi5SSAJjoUdqQ5WCURKqMKLpMZ5vUcYclcZhma5e9M+dZK5bJ8obMaIxyKB0RMrkbaCqiFSgRqIWni2L35ElWD5dkZY6RAqEludEgM6KoCXVFNdsn2Bm5VYyeOI2XgYhC5AHRB3o5g0GP7sFV8rJAG5DS4CrH/tO75IdKMtEQQ8QYhzKCzc3nUSHQ7WmKA9/JxjX/nkCe1MP/gpXMi+t7vud7+Jmf+Rk+8IEP8Eu/9EtAmqIopXjrW9/KL/zCLwBphGmM4R/+4R+46qqrOHDgAGtra0wmE+688076/T7vfOc7+dmf/Vl++qd/mp//+Z9vTf0tP/dzP8fLXvYyANbX13nyySd55zvfydmzZ3n5y1/On/7pn/K6173uEtoNwNNPP80f/MEfUJYl73nPexZJI3MweNNNN/GpT31qwRv8yZ/8ST760Y/y8MMPc8899yzGqVLKRdftxaNdYAHmtNbcdtttxBj5oR/6If7iL/6CL3zhC9x55500TcP6+jp//Md/zMGDB+n1ehw6dIgTJ07wqle9ijzPufHGG4ELo90HH3wQ7z3XX3/9wsD6wIEDALzvfe/j5MmTfOhDH+LVr341f/VXf8WP/diPURQFt912GwBXX301GxsbPP744wyHQ66//vrFaBmSLdjv/d7v8cM//MP86I/+KGVZMh6PecUrXsHb3/72//8T/y2UiBfD8st1uV6CSn65nmrqePTLz9JMJK4JeNswrUaMRxW74zNcOdhiuesT54u0gFWN49Tpc5Qdg7t+i+rQPgqPj2lBDrXDj7r0/avpi1uRXrJz/otcd3QLJTXb20P6S4ZunmO0SpnG3oKQhJA6DlJAt99lb2zw3EWUBwhNoHITdmf/jDdfQ2Qjmph4bH3dJYs9RLNBv7wbkx1BG9ChYTT6KMudCYOeoih7eKP5zyf/mdjXmDKlrmjtMWVGdArXwJOPniUvNP1BIoEnE2qJiw26AK0lSsxHHymxIQQITmIrx3g/jeC0MOTxMLN4BpnXmDIiVEjClUwhtFx4KYJYROI57wk2UFWO6CSziUPt38KVa/8HShZIMferdXgf8U2VHidkEkBMp/jhAwziV/CxpnENs5nk4MYBVgY9rJ3Q2H0mk4bjT55jY6lH3lXkPU2WK4zO0FmJVhkCTfAO76vEG7OezfoorvM6+uUa2iRumlIy2dJovRA7xBgYb55hb/M8naLg+uuvo7E1p0+e4omvP8n6+jorKytkeU5mknLWGE1RdijLkulkQjWbYq1NHnTO0zhHXdXM6pp+r4O1DePJhNFwdIFioLO2C5c6dsF7ZnWFtTOcr7n2mmu5Yu0KqumUetbw7PNP0ykz1jLHoKgRWUmlrkQEkaLbMo1RJsXkElOEY4w0dc3e/h6rS8v0er0Fr9Q6zzeefZb+2irdoqCZTpK10LwzPhewtGP3rNdld2ePbpEz6PcxrV1O8IFzW1tY5xkMBuR51vpGtsFvrQiraTyTpmZWdzn11ARnI51Or+3oy4WyfjqucXWgVyaLpRAjZ8+dIc8NnbKbRvEyRQxKUuqMjx7rk8iptmOC8igTqKsJAUGvt0InT0k4WurF6Da0voHWWSo7o5rM2NvcQ2c5RmuMypEIVCZ59f9+LVfdvEEARJjwxU//KvivsXyFIZeSLBZ0ig5ZvowUGS5O2To/4fEnTpFlkpVlTa41SgUcEWcj06nF5y9Ddr4T5zSuglg76ukUrb/KwSvOkecVUhXsbM1YXs7odCSlNuhMI8oBxeAwWglcvUVT79G4hqZ27O1bTjwnKNfuSJ/hVnQ1HE+wDq5YW2dlZcBtd/5v9AdXp+lGpPWe/NeuzYl68Oijj/KP//iPnD9/nsFgwGte8xpe/epXLyy3vPd86lOf4p/+6Z84duwYb37zm3nwwQfZ2dnhrW99K71ejxACx48f59Of/jRnzpyh1+vx+te/nrvuumshIDlx4gQf/vCH2d/f521vexuQRqfXXnstr33ta4ELYO+JJ57gwQcfZG1tjfvuu2/B/57z/L761a/y0EMPcd1113H77bdz6tQpqqriscceo9vtcuWVV3LPPfeQZRmPP/44a2trfOQjHyGEwJve9CaWlpaANJb927/9W0II/MAP/ABlWSKEYHd3l7/5m7/h+PHjHDp0iDe96U0LQcacZ/iXf/mXGGP4vu/7PmKMPProo9xxxx3ccsstPPbYYzz00ENcf/31i07k7u4uf/7nf86ZM2e45557uOeee9je3ubP/uzP2N/f5+677+aGG27gs5/9LEeOHOG7v/u7ef755/nc5z7HxsYGb3jDGy7q+Kbz98wzz/DJT36Szc1NbrnlFt74xjeytLR0yXb/PXUZDF6ub0O1t6gBhudqTj05wc4CVTOjbqZMpxXbu09zUH+Vg0sNc99hHyNV4zhx8izdpZLhd5xi++qzICMBwAm8C7gq4vf6dKffzSrfxc7J4wyKL6DYYW11hcGKopMbCi0RKnH1fIx4F9PCNqqYWUdlbwJzLxUlu9NvsBm+gC+exgy20LkDpYlEXABZGeJwidJ+JweKu+kVR8ljYDb5Kw5dcZrlvsRawfZwxJfjk8xyT9HP6Q8ydB4SeMRw+pkJ504NueJQn26/ICvB5KCylE4i5rzHubddnOcxB1zjqWeByb7H1QE3E2i/hhrs0V2RFF2JzgU6k2gtkeoihXVM/oTehwTwrMfVkboKVOPA8uTf8R3Lb8fIHkbp1MURySoktCIg63zivU3HTLe/St//JVnYwlnPbOapGsk1Vx6mNBXW7TNxmsef2kEqxcZKwaCM5CaZI0tjEuBFEIPHhQbnPbPGcM5/L9nqd7PcX0J3FJnpkGmJlgoxNxpvOXHnnjnO5gunqGdTDhw4wOHDhzj1wim+9OBXOHzoECtLS5St9VBmDFlmKIpykQFbVRV1Xac4QdtQNw3j8YTxeIwxGbOqYm9/n6X+IHGOiO0oPCze7XMTaK01sbVwuf76GyiKjFk14etPPcOg16VX5mRFSk+h06fMC/LcYLIMrVuTdp/Aet1Yqqpif3+Psig5evRKsswghWA0mvDwo4/RW+qz0h9QFjkmN6gs8WAFtPm2lqaxzKqavd09lgZLXHn0CJkxxBiYTiu+/vWnKIqSbr/bikuyBT8WIt5ZbJNSfJ57esxzj80Y9FbIsxJj8tZcOmVXp5QgS9PUhODodHvUTcXu7iZ5XlCWPTLTxtShmMc/ulhjXY1tAmXZAWl54YUTLA3W6HYH5FknAXCpL+0QtpY5zlsaO2M2m7A32ibiObxxFUbmzPyM177pGDfcfrA1rx/x6f/4E/TVEywtGbq5TjnPnWWyzmGkyjl75nm++F8eIisyVtdy+h1FbkDLmLqpngTapj3G9gby7LuwfoB3Y6qZZzr5BmsrD7Cxsk9pDJu751le67FaFhQF5EUHU2yQFQcQ0dLMztLM9qjrCbPKsTOEZ8/0Ka95J0oOECJFdlqb+MwIwe3feTO33HQbApdEZe04+MWCkf8Vaw6I7rjjDgaDAR/84Ae54447+PVf//WFDczHPvYxgP9hgPRvqS6PiS/XS1+tlDRK6B/IWBrXbJ2YIl1ePJqJAAAgAElEQVSKTRNKIkxB1QQa1yC9QJBEBSlaWBDR5ErTKTQ+rTXgU4KAzSQuGzHe/Xvsds3eqM9kL/CKm5dYWy4oe5FMZ+Q6GfyK1q/N+YgxCik09WRGXRd4a3lh9k8Mi89SrO/R7UZUJpEqR8i0J3iJCwG7vEs1/gxPbz7DhruPdX0zIhxhUp3B2rR4ZwNN0c/AOepJxbCu6a+WxEIxmzpOndhnZbUk70R0aVE5yDyZOEud+G9Stpf0kKKohAtJYYsgOE1ZCnanM2ZVxMhNlssCnWmUFsmapM1m1UqnyDihSBnFDRKXFpAAUQeMjvgcdJDkosCoDN0mgyQ86rHz62mAKCU6k8jyMG56lJ4+jyFF3DXBc2b7NIeu6BJs6jytr5acOj1mWhi0FgQpyVzEBAuigdZ42YeAs4Jp00d0r6PMc3KlkTJLgg6dlMda6QUYcM6SG0OnyFAEzp45RWYUeW5QElxTEUOHGFIMRQyC4AW2rgiuSTFk3hFC4jlG74neEZwFUoc1zjydTsHScp+yKBJYUnJhIg5pLEVMQK6uKybTGU8f/wbX33AdKiRvxiYEXAAVA8YHjJIYnfKkdaYosrz1J7TQRLwHY5IFUNPMUArKboESkvPb5wGXuoFKoaTCKE2uMwqT4Yk0dUPU6bgqrdC5YTobobWg0y0IITAcjfDRtzcPAqMFWgvyXGNMRgiBumlBlxd0i4KVlS5l3sWoHK2S6Gt+70JIAL3RObWr2txbn4zjg2AynlKpCqUypJYpW9enY1hkJevrGyiteeL4I3T6q3Q7K3SyAqNLlNYtj28uEguE6FFRoZxM4iARCAzY2tlkNBmxtlzQ7ZXoYi4UCyAiQoRWqEZrvRIQAUSw1Fbx0FdOIJRhYyOn3/OUuUhjZqnbz5EiMwJpxjB8jDqsUWT/DicyPB7Flcy8ohYnmU6fwvmM4AI+zoghIzpHbPZwoSESsXZKEy0uBpoYqaNFyDWWBhugCtp7ObyPlE1NLy+48dqbk+Jb6CTMJ7Qn4d8G+Dl27Bivf/3r+cQnPsF9991HlmVUVcXBgwf55V/+ZeAyEPxvrctg8HK99CVa31nSB/LAkT7DzRl26miJaxDA+UhduRb8eDwC6wJIQeNqonGoUqCEQMRAAxTOoFXEKoCGWfM5hmqdaw4MWFpydDtQ5BpjJEazWKxCjCgfkDYtPmsIqukJvr57mvHGQ/Q3akwnYjLVAo+52lYScCgPstGowtOUz3L23F8wHb+Rw/pGdneeZLm3yepSl6wX6fYlIhh0aWjGNTtbE5aWe2ydniJiRtkxKJOhjE88R526SkrrlAbRKjtjdHjvkMICKb3AZJHoBGXX4GuHRKGNQKmQxCYqokVsn6+L1iVK5G2HsyKICYhZyw2MoCNCR6RJwgSpBdokUYVA4q3Ey4Bsx4YiKHToYHSfIA6S6ZIQR2g0pXNMJlPGVeLf1bUEoRHFEc6PBOhhUhN7S1AgpCTIiPACFyK1E4ybZfTqCtpoYgZSC4wELTVaZy1/TBGCT904k2FMsp3xIXLq9FkOHz5Cf7DEeFbRbxxGR5SKCBlJfDVaC5bWPNwHnI9YF2iaZMVy4MAhpFDsnN9haTCgzEqKNrlGKdPav7RJLSHgncdKRyAjC5HRaMSZzXOsry4z6BTMJlO8MVhnkAQyoUAqhFAYmdMpB2kMPBlirQepiXiUNDTe4T24xhNEYDarQejF+FCo9KWMJut1ktI6BKR3KCFRArSQiUPoUzJNDGncLFBpdCuScEEqjdaGXrePtQ5nPVICMoHKXt4hN10yleIAZWuUHqAdT3ukatI4XwrG411iFCwN1siygigsE7dDHcaILCX1dPMlMpmhYuDs6ecRMdAv+xSmJDdZ8hDVGiGTlVNSFevWxzB5baqYYuNCEen1Krb3z5L1LWVuQC8TvAMpEaJDZ+Uq7PZTBB9wMY24pZ0Rqk2efnrE9u55jh0b0OtKurmmyERKJFEKGVM3sjEelEZ4yeb+Q0iOocw6BkXHdanqo1z/yv8LwllOfP1vme7fT5EFhIoE6QhxgnRV2mfvCa6mcZ66lkwmBVl5A0Wx0tI80g1T8JFYlHzHy29G5Vm6UW3zRl4sFPlfueYhAR/96Ef5zGc+wyOPPLIQcrzpTW9a5P/Ox8uX61ury2Dwcn1bKuWhJq8rlQsO3dDjyd1JGoOFgA97NGqPUdWghQbhCVFjXU0ToKlqCpJpM9IToiSPgigFQrp2vAh+tWLt4DkODAryvMTkqUtitMLotLBFIZNLv7SI1sTX+Jxed0YvPIvfqCm6AlMolJEpcKC1g4lAjIoQ0u+dTubPxF323KdRw4aruoJ+P6fsKEweyYqMECuUTqPh8USwd75md2tGWRbIXCANbRcwdQKllkht0KaDFjkIcLFBiBnEgPCeoCJSB4SWGCMJMaBzgZSxXcxbCxulEFKjVUYuemjRI+CT762q8V4RW/88ISJKgCL5wEmlyExGUaSYtZoaH2yruhbtmC4gtMaLPjaWNNWMykYaK/A+Y38osCFn2hylVsuYjavwoWSvup8wfY6OcxQapAoE6cFLvINxY5mKgiWVIVEIGdM4UUiESmA1MxlZlmFdMjjWSmOUBCXItKGqKmaTMQc31nnq+NNMZlUbjZh4cHMQIWQ7aowxpbk4h3UNVVOR5Rn9bo/t3V2kkuS5STzO1ubHtOpuqVL31Lpk3TIcjZlOpwtz6fNb5wnOY0xG48dUTY1UCgtJnCFS6gbBY5saodrIsrkYgGTBgoDGOcR0srjRCoswu+TYQ6s4to2FNks3xdXR9r4gSEFja2hzq31M+xCiT1vE1OFNHcEZzqdkEGJAxJCMvrOcTJvUdVY6AdrW1jhZBgminBtKCkLpGU12mcyGTP2QWEzoHpCsDHqYTCFVEjY5O2I23WPot+l0lpNlVKaROk+2Mkq31jtz2gP4IMFLhPBAwISMTGV0iz7Tege5MqN3qORrjz7K17/6EOsbG1x17TUcOHIXT29+Hts4jIlY2SDsPsFVPPf8ebqdjG4hKIzAmBZk6xJlOonn6CqEGxO1x+WBIh9TuxfQxTo6KLzSxDhj82zFd37X97F+5OV86TP/D7PZoxiZouOisilrOdL6gUaqxlNNJaPZMXpLN1JkBpRoO/up63r48EH6ve7iKnshaeTfVgkhyLKMN77xjbzxjW/8r25zub71ugwGL9e3qRZWuAgpGax1ueLqHk8/cp6qGVGsbHLgQOTskzPqUYGkIZMOOQisHutTjSwzEdFZiRTJyd/HdFcthCciMSGSa4EykjLXmPmYVScgpPMCbQqEVHjb4O0EHyI6RIwSlJmiX2qaUpEVoDPZgsG2M5hmT4Tgk7eeim0KiIQA8sAmbvpZ+r2DlB1Jlid+YJZJfGzBTIwEYRjVTdvZm4PN1J0SbdqEkhKjcjLZw4g+AokVowRgvCMqjwgJ0EnlkYp25N36F4qWp9mOigQk+xCRISkRWBStpYgA3zo4i8V3FubhgjaRQpDMcoVCkGJNRBQtcKjYO3+erd1zZHKKmnf6ImzvRaw8ytKRu+ksXY+SeRrvNbdgJ0+xv/8ww8mzyDhFY/GxbiPiFKETktpVeojJRDWpjVtOVAtI5+8vIUQLqlXbHVVMplP6vS6rK8tsb29jpGqFGSGltsgLfpRzMNhYy6xKXmNXH70S1XqPGTMHPmpxnrRWZHlGluVMp1NOnTrNeDJGaZV4fTKF3nvnGY1GVPVs4Y+HEOTta3oXsSpSO4ufjUEKvEuPC94R25xqJQXO1mncDRitEL7BW5sM3VtOaSOa5H0paA2YA94l02pnG3IlsbXFu9Cey+TjaIPF+gzlI8466timgSBonMW1PEiJRLeem2lE3AJikeLsQmvPNH8fEQXedKnNjK3RSZaWMw5es0av1xrFa72I+/PeUXcbTj8jMSFH6zwlwLSfD62SubhuM89jvBCt54EYksBjnlnd6ZYsryzR65Xsnz3Hzs4WmydO8LWvPMChKwcEeQOj2ROgffoMBJjawP5oxupqjlECLXVrKZWT5auYcpUYHLbaJUSPkRVaWTLjmTbbGNF+5mS6duztbiMC5OVVvPK1/zcPfu5X2Rk/zsBZMqMQypMyuQVNDfszwc7OFWT57YSQvFCFvpCH3un0WW+7Xpfrcr3UdRkMXq5va6U1N41+r7lpnReee4HdyUluuGlC0c9oXJ/Tjw2IsxFixXLoZTcwaRRu7BCZwmRbJFdBm0QGIhJQiBhQOqBb0KZUQLYgS8jUQZRKo/MuUhsEY6JvkLJuL9iytQ+RZJlMAo92PCpV6123yDmWxOAQInGOYgSfa+hG+ksNncIn42AFSicLGo0kymTVkiEoezmdXoGULf9PpASOZH2XOilSKCQ5ig4SjadphRxikQYikAjhLoCZwCU+XSkqr1UNBosTMxCKiE9GvNG3raRLK5lJt9w956hmFVGAcynj1UdwrfFyaIZsPfsJ/OR++j2XklIkSBReOFyAqnqWavtTdMuc3todeGmIsU8YrJGv3YodnmCy/zSueoSePoUmYoNi7GuCd2kXg0wdtNZbLoRA0yTA4+eZv8wBomhj7gS2aWiajKWVJfb2h5zfPo8Ly3RDsimZA7u5e793gaquCMFz4w030C071E2Dd65NZpl3UcUCvGttcMHz9LPPYG3ysDT6Qudq/tzOObLaMByN2B3u42Og1+2x1NTJv1IImnZUKIRIptvO4m2NbWqmjcUUJad2RliXjGczJfAiY1pXFE2GUQKrEqxXbXqO9wl8elthm4qqtnQGS5zaHdO4gACKTIPOqWY1hc7Qqmn5aTIBc0g+lNbhnCW4lofamnKrltogW7FJcCp5/DhS5057jDPkpsNgpc+hqzv0l0uKPIE9rbN2XB/wwUFI4gwtM1TUKOYJMKo95oosl2S5xrtIXbcm6N4vhCVKaJQyrY2NIM8LOkWJKEt8YQkNnDk5JPir6BdnEOwibIY3gYlvaLxHqpC67cnJM51/maGyPgSLaybp8yhCssyRAcS0veDF9HGNquVDSqKI9Fa/g1fc/Qs8/diH2Dr9nyh1g1RzrimMJxk740MI+QpMOICd1aisHY+TojIPHzr0TXYsl+tyvVR1GQxerm9jXdSmF4mbdvtrr+H41/+ZK69umNWCpUOe/RfOkemDDKsree6poxTZACmhWwSMqlEInGgQfgQxjZmldEQJSke8TLnHF5ekBUkxxUDFmO7C56Mw5qBJhNQNNBGpBUqrlhNmksE0IiVJ+BpoUiqGDmgTwEhynWOUQkqNbgGJVholNEE48BEVAqYQFB1NsKF9/ZYVPidXksZsEUugbr837T63G0UBUSU/P1LnznlH8IbgSZyiNiEkmfrWCLmHZ0pE4EKdFvXoCD7FAy5sa1plpnSOJoLzgbkdjXMBHxtChOiGnHr6b5Dj/8xqtyYvBEa2FjaoFI/nI43yjO3z7D7//5J3SrrrdxCjIroMY0qs6SM6x6j3NijC31GKLZrgCbMxvtnDu7VkfB08KqROmUNAaPNp56reuAi3a49hiomaTieMJymP2hjDdDKhrquFsngOpp1zbZKMQClJVdesLq8kHtli4f1m8Nw0DV8//hQhBLrdLrnJWmPiC+a/8+xq1Y6UIxFbN1S6YVzVCGUWilrfjls9nugaqrphr7I8s7nH6f2z1EET226tIqDwXLNakBUlUsyIyDZWML1PQow4W2ObhuG04ZnzY86c2KP2tMbZIIn0teeaK5Ywpmi5fwGvFAqVbnqCw1pPVVtmzpC1udDJlFthMoXOdOIgWg9Nev/FMN9OkKmMnA7dTp8y62MyjTEtP7YFg8EHQmsYqVrrGcX8filRKbSEPFeUXU1Tp+6nED7RCNoOOe0j53ZKWhtykxHznAaNpUE2mtqvM6xfid09Trc4z6DTELwAr3FO4mM6FpE2Y9lPqGfbiBgIfpasbaJvAbMCesSYcpNDSJ/rstMnyAQIhVCsrL+SV959FZ//2xfY2344mVj7SFQSG9Zx/hoaq5D1JjEKRKbIVIaUgrXVFbLM/Pdfii/X5fpX6jIYvFwvec2XTnHRv/P/s7S6xM233sl08ikyXdPpGGLZZTy7hd7StZhujpEGoSKi6KJYxlBQMySKgJceKSxSCIKMYAROBWxrmRJ8GqsGJfG2ogGQguAbvG9S8kcI+JDGY17FZG2jaNW8BqMLjOkgRUZA4EOFFeAIyJCscJQKoEARk9BEgogRYlLwSjwigtSggkBnjqzQjGcV8+jXGFPMW2iVqFbWEEYEaQGBizXOV/iQRoYxOkJQbTcrUnQMdeWwTSBzCQwG55PxskixdXX0SFEnUBua1HVqs6LTGBGcBdt4vA4IHCKExFMSIo3H2/FftI6tE/+FevsfOdB1FGWGzhSlDEgVCTIggsQHkF4ijEOww/Yz/5HB4BiqewRUQBmP0K1LdLyN6f4uXfNZun4EYsjm9Bls7zDOZOAMCoMQrrW58YvOm48ppWQenxd8igism4bKNpzbOs+g12djbY2iaHmYjV2MF5VSdMsOxhgCkaqqOHnyJCJCr9ujKEums2kCKnMOXuvfd/bUKZxz9Hv9C8KSuc9fu39KqcX+AsTBEjs7e/T7S7ywPeKAl/RLm7hzUpHSd1J83XDW8NzOlBcmAl+sYlQOKkW7iRgIzvL8aIrSE46ueHqO9PoiJNV5FDSuYTireeb8lJMzhciTbRDz3OPgGdua4zszInBkpUvXhaT2n7sbeU9tA8NpzXgUOSJSB07KpFzPC0PZzfA2MplUBJ8EHkJIBBopBEoKohcL5XQS/SRAqERKoLDe47KQeHT41vA6gfsQQ7qRCALnoK4CzibLpYs74bG9aYrpw5VEVFIilWJvOOTs2XPY4OjmJXmWEePVTKvDzKZjzp8/T5CnmDJmXO1TNzW2cGgrkdLRsI/ySfARfYVzFdZHGiupG40UG/ggFjGVFsf6ocOIKJnnBEPEuZqmOseh9ZxuV9HNNLrsUOgVHBX702eZ7I6Z1p6++j/RxRK9XodOJ3F4L4siLte3qy6Dwcv1kte/dKkSCBCSGAWd7q2cPfUkWn8Nafu4+ih591q6nV5rl5ERlaNphQS0nLEoYvvl0vWVlLzhO5HxtGa5yXE5C2UnSGIYg0yEeu8d1nuakGK6pq7Clo6oZFpEhURKg1Q5SnYw9IgIrBwSoyXIqh0btmBJJaVtytNNKaCEgJIZggYlm+SyIyDKSJYLvBM4m7zkdFCo1o4jeIcXFsmUIGtilAQafLBp0fM+gUjviA6cDXR6GUW3w2ivJisMyogEbGUE4ZE4ZEjxeskKxRF98oLz3qV9cQHXRGzlaXILQRF1APIEBqODkCx/7OQsWyc/y1I+JcsNJgtkWrXgPc3oY/RJbGA9IkpiHvGj85w/9Z+46tYfx3udYu1iOyIrA5PmZmb2OQbmKTqyJps8SzN5GbUuEErisEDyWvOtp18gEoNrO3uhVQQn/tz6+jqbOzsoKVka9MnzjDzLMJlB9+c8txagtSa8NnkaEULg5AsvcOzYNXS7Hc6dO4ttX8O7NI6sG8f+cEin00kiJWPQ7fj54nxs7z1OSBrn8CEBAmMMw9GYM7HLdHaOjV5OnrfiCOYWIvDCcMYLlYRymUxnrUWSaM+Jx3uDczkv7O8SmwnrvSLZ7rQcPBEDtfOcGs440xTE7ipGJWCGkKnJHAI+0zTW8NzuiNhUrPWK1BEVaWcinpmFc/sVIpQcLiEBrgsClmRtkhJ/UrZjS2dAkrKJkxWPUDqp1bVEG0Vu0o2TCwGaBpcrslLgq5YaEBMsVG3GdeMtfhaom6Qcds4vFMUJDAZCbOMQZSDvpDSiU2ee5blnn6Xf7bG0vEaRm/Y9O6dadLF2g1lzFTofMa6Osz/7BmXpkSoipUV4S1AVAUUM6eazsYGZFVTNGiY/gvUu3VjZQHdpwKErr0S0F4AoEia01R7ST9DKY6RGt9xEnXXodAs6Xc+sDJzdniAkFEVGWZYLEPitAcGLJgmLC/KlN+VzpnCiGl/c+RaLbdK/4tL/c8n2YrHdhe8Xxtjxksdc8h8v2tdLX3Px3C/a/Jse/eKG/Yv/jksesPC3aIf/lz7H4lDFFz/04ueMi+NxYY9f/DPf9PP8ucQ3/QUX/fwvPZBv3rwdaiEvPoe8NHUZDF6u/6mVuHKKK6++j0ce2KSZVih/lE43x2RFWrBVhtIWL8DGMU6ApybEGuEDwqcRa0y8b8RS5NT5bZZ6OcokO9sg0hhUybl5cvJuaxz4ytFMYSdUNMszUB4vabk/LTMv5mixhMDhRdUq+uSFRU5YovTMzJTKVXSsxhqBDCkqK42GaDskSe1rtAArqScB3QnkRuLbC7yMQLTE4EAmPqEIiccXfbPo4DkXsLXEupqNtR5Sw952SrpQWi3MgokR6QVSupSXSjs+9qIFNgJXp0STahRQezV10SCkxofQdnWaNC7zqRu2s/Ukwp4m7yiMEWRKkymFMgXadNEiS6NoX+HjlCZkqMGNdJcG7O5skjOh0qvIKPHUZFEQsoKmOMi0volBfhJDxUr+FFv7VzAxXaJaJcZIFhXKJ7AuuODzZ63DOoe1KTmkUxZ0OyW7T+8y6HXpFCl9JMXOJXFBMlW+wBmcizvqusY5R93UbG9v0e31UEoxnVVkWY5SEpxgOBoTiYvnnYPArAWFUkq8T+KRnd09qrpevP+N1jTeQbQMlvssL3XI8zKNmInJYqdpWI6KkfDMVEbU+SIjOa1UgaACkRllVPS7Bf1eTpaliEVInXBdW5aCZjQVzEyyglFSLriq0SfQJQQMdE6vp+n0OuQmbZfymBtU5Zg6iZ2m7pwPIKNAekFTpZzudAzbznwLygIWL1zy3tMxxeUhkRi0yNFZRqdT4uqacQgYYxhc0WH3xJRu6LVAzzJ1FdX+jKapscFBBCmTsrwsS/KsSM4CLYXEOYfOBKYs0s2ctayspBSXMi8w83g7KVvMW+AznwRgumA4CpzfHdI1z6NDuulQRqF9Q6R1MWgCs0qxNzQgbsf7JZxtsFXDzNbcdfur6Q16i8V8jseiMC04Tp37SKK4xDaDOEYYTmrOn5mwegt0OmU7/v7Xl/xLYNU3gYmEJBZCs3YPYot8ohAL/CFfBIAuQL656CptfzEMuhiSJNx3wfdw/gwXXjom7vWL7HDmYGnuQ4G46Caj/aOimN9sfPMhubDlhb1dHIYFjUgsfj//fgFgQRQX4N2lMLX920mrQHjxyy+AWrv3l2Bx0R77S3d4cVzafbgEVoqWb3rRlvNjHBf/XNijlwIRXgaDl+t/UkXSGzeBqixf5WW3/Hv+/uN/T6nX0VmGzETyBow7DLefYjL6BiLsE3GAxbkGGxp8lPhWXYyXaB3YCUO2dlfIpEEKSYYiKI9QfvHhdAGaxlPNajanE3Z7I2xRU3qDCgrtNVFBIx1a1DgmeBwuNkl1GkS6ELZjqBgE09KxszulW3UxJqB06twg4iKvN4jY8hYVDFeYVQ15t8EZS1Ty/2PvzYMkvcoz39/Zvi0zK7OqurqrW63ullob2mhJSAhjAQM2AoMJwIYLYQaDl0vgwDiCUNhgDHaIPwhjbDAOEIZLYK4XHNdhG7ANthkEXGMW7QJJrZZaUu9de2bl+m3nnPvHyaqWxuABj2c8d4ITURHdVZVZmV9mfuf93vd5fg9C6CBGxyOcCTw0D4Iab/00dktRV4KysExyR3MmIs3iECXWmqHX6wEpzgZnNHGYBkrlpieW6WO3UFuwJZSTinzg2Fyz+LKiyCcI5VGVATFBEAqlioo6r+itPkaqS7QOHSYpQSiDNk2ieAeRjqnrIWWxwbD0rI/3cuh5byNu7ebEo3dT1g6TaWrv0Uw7q1oSRREDtRvvmggxJFUTGuJuumsZtb8el83ibILUEiWDQUIA3lrKsqAoSso8p65rdu/eS16MKcuSuXZ7CitW219a62nih6aqapaWlun1ulhbb3dejNL0uj2GoxFxHLO52cdEEV5AIkK26ZYJZes2aqqjS+IYpODYE8fY2NhAa02rkT1lfFzVlnY2w3y7QZok6DiZRrQ5rBfEtiKJxmRRwdFRzcRkQcM63Qi98+h6TGwH7NvRZKEV00ii4LQVoetR+Yg4rqdJIRPO5BPGuhNSaUTYsqz0SFvT8UMuaEa0W02SJEWr4DoHcK4ijiqSKGK0IXBFQe0c5WSCGwU3spACo800kSRcTFj8VJLhqVxJ1JRsNRwlBQ5J5TWltWAJ4HnvWTx/gdVjxyjrGRCSfBi0nuH1C2NfIQXOV4wmOf3BBlJqms0mRhuqOmdS90l2gMNia0eWdFBNS5ImRNpMWZHnOrhMu8NyuzhcYHbHy4hmHmCj9zVSa0kiQleVEmsFeQm9YYu6vhqpD1LmISFklOfsvehiLnra5dtd2ievOJ2FqImtC6yD2lfIuqQu1qEeUVtYWlvCJDN0ZhfQ+vvfop9cjm2VQ48+9jh3P3A4/N/VRMKxo91kcWEHo0lBd5TjXCg0euOcURV0kKHglsTTYx4bSaJCZxslGY5zJnlgI0oVPlNKQqI9M7Gh3YjRUjGuHN3hhEaSYiRYW2GmZiePCpRE70K3WE1ZkR6KqqZwnkh4EjOFiksVzl0uGKCEkMFYhkcrjZ1298GjtUJpxWBS4USgDeA9WjJlprqQSjWtBCXBfOZdjRaC2p4rPLcLx6kEwAF2WkVaXyO2GxOSenqBGQrLUMYJL5BT2Y73fmq4CpICLQWRDhFcRhvKsqK2AZVkt0OOfLiIc57KW2oP0npQgl3zszzrumv/XbqDPywGf7j+Jy0RRkZiCkmVnvb8Pm549kt54JsnUUITO0d/5T5Wl/4Zpbvoi7pQ5gFQ7Ksw3vRFOAFYcJUMI9dKMpvNs3F6QOIEziXEdUJsytBR4VwCSVHUbPYnPGZXqBdKktrjrUBVAQDsdJ1swFMAACAASURBVAFWUvkcxCpWeKwrsLYI46dpKsiWlmmiHSt5n1nZQJqMSApqW+BkNS0a7dTQ4amcJ63mGZywTNorYGpSocBrHBblHFLa0D0FrAjJCK6S1LakLkJX0ZaOzq4OK6f7bPYniFoQRTFl7inyEi8caRrRaBmiWE0nN6GY9c5RVyHOLh96NpYL8oll14xivLlGFXXQOgI11UBayF1JMRwx3FyhYaqQIiPYxrxIGRHHLdJGm8nQ4KoJeVWSs0A2ezFZltHZtY88h0gqnK5QVlALg5AWoQROp9S2hXWrdLtj8slZ6urz1MUAOXsttjWHjDKkjKdz9wCvHo9GjCdj6rLgggMHaTQyRmcHgHiKhi84gQVaK+Ikpqpqjjz6KGVRkiYxWZb+CydwXpZAhfeWtY015gh5u2VZYkw4dT55dLc1xn3iiWN0e12yLCOO4+37FSJsAJH3mFaDRtYgThKUNgFntJ3Co4kJm93Q5qy6ispkoQAFrHWQ5+xuKHa1YhpZgomSqUYuvNbGQaUqlCzYLSyVHbMsPUQGLUN8WV3VxHbAnoZgtpWRpBlJpLYLXefBOY2UBiUVdiBYOXOK8ShHIM+xFqcjZ+8lkU5pz8wSRQm2rqlrS1FPaM8oKlFjXBQkAtZj8oqiclRYnCuosDQ6TZodQ3+jC+MBiY7IslYAT8tQ7CLCeN/5wHMsq4Jubz1kMyvPKN+kkzawuaO3OaTOIZ7yEc2TurlbxZ9zbjoaD699I2nS65X86I//Kt3VGzn2wF/R3ziJVBbnDFUZM6nmQF6JEBdic09Rj5hUORddfCU3/fjzMEnMf92u8V6gzQwz81eRd79MVEoibakZY/FEImcyLimKkguufi1pY+bffrYV4eJvZW2d+x54CKNg93yLa6+8lJ2dNg8ffoRTG0MKQDhPqiM2i5zlYc64grKyIAStLKMqC+rSksWKRmIQMji1TRSxPhhuQ9K1EuxsRlyws8OG8hhpGAvF0uaQuqpJNbSzlEZs8NZS1+FvaAnNLAFs0JFqw2hScmZ9QGpgod1ACCgrR1HVeO9IoniqD65ACbQUgf+pFMJ7mllClKX0NzbpDsf0JyV5HT4bu2ZnaBjJ+nBEXlokBggNhizStNI4PLdeL7y/vQ8TkOk2VnrHuCiofChSE6NxtWdU1JQODJ5mHIro9cGIka23GalB3xwIDcIHvJiWkroukUrgsFRVjRAa56bnFl+H1CPvqKWlKIPhzXrHJfv2ceMzflgM/nD9/25Nwb9PEkTsv2QXk2HF8iNdzp74FvX4fuaSChMZxsC4muBcjXAe6x3eStzEUG1GjNeaTLpN3NiwmDZJdxesbpyhKHOypiNNDUaHv+qso6gsZelQaYKZaJprhkZXUawXVEf7WAHRszPUIUmZOWohAIu3ntpZnK1CQVhLXA1UNTaHKJIIFXRkqU8o65JalfjaY2uHKwWUHj3KuGThOk6eHbH0AAh9Bj1fQcNhrURpiVYWKSxeKITV6HIHonbk9SqTImfULzFRzOmTq2gT0UhjlHHTK1+Bc2EMXJaWjdUJJlJkWYSUIR3C1Z4qF0yG0F0fY51j53kJreo445N/j48OIvUuhOxMTSQglGRtZYXRuGBhZnrKmF4Nbzm263pEOZFUbkwpamLjGCzfzdFv/z2d+b2cOvr/cv5Fz0UKifSSSshpkRrG+rra5OzKCq4cEBlIY0Wa5li+ynjzAfLxxSi9H6HPw6sG1kNVW+pej3I4ZKbZZGHnTmxdbeuTtkYr53RWYeg0HI44/PBhtDLMzLSm495QBG0tay06CqNXpSSra2v0uj2KPPD9tJbbpoWgnwsdi2PHj9PtdWlkjSlCJUTGbY0k3RR0HaXZlIMZEZmwiUnpcdZRyfD5SIRgZ1FTjitGkQ5jYAHFpEC4CfMzKUkSINwmitAmQqsgkaCauq6lJ/WWuVQzrCpcHBMbhfNQCUuznDCbxpikQRRHYUQ8LfKYHuMtxFJlC0bDMY1sBmPiqWt+GizuRcgJrks2ektIKWhkGUVVULoBJomxVUVR1wyXcyaDmnIywUy6pMUqjaYiuvASXGuWHefN8fjaGu10hqaZQU87uUrqc0xDH6ISraqmo3/FcDigPxghVUzVj3ni/g1sXtNqSZK2PtcZflJBCGxDx7ekB5EtKAvHmVNrXHHo/+DAwZczmZxkfeUY9935HbrDEY4EQYQQY5CauflZbrr2RvYdvAJltvIznzyonF4sEPO0a/4z3/wv30aVqxihqSOL8iNqoDe2dHb+OPsu+894r/jv8YpI4ckiybUXLbJ/cZ5dcy0Go5w773+Q3qiiqD21tURa4mxBJ41I0ozl3pjBuGRU1vSHg9CxixRWW8Z1gZQhrtKWBZ2mAWfoj6pwgeBAWBgWJbUrqKSmdiDihMrV9IuKykMkINYSayvQgRaRT8aIXDK3Yxf90QgpPEkSUwvHRncdoWJiE5MYg/SOqixIIoUw4bOTl2NqNLGSJFHCfDNirrOborJsjGruPHwsRKCWlk5suPLAfk6cXWKpP2RSWYyS5GWBNhW511S+QlSWVGmktyA9eTUhrwtyG3KiZxoNMtOh0WjgVYvjZ5aIY8PuHQlpElOc2KS/2aUoHUZ1mIwKmlkTqT1SOIq6oPAeHXlUpFlbW2GzPyCJWxiTEEcaQUWcNignY5T0pJni5MkzmDihLma+ixbx37Z+WAz+cP3PWyKMiYN+Y6qGEJ5Lrjqf3unDFJNvM5cK0jhBa8O4EtiixOoK4RTWeYqNBhtHFnErFxPbPaSiiQC6vZqu7RNlC3Tmuxi1Rl3nTCoXOlhCIQnuTmM9l7YXMXGEO16y/JePsWOQIaRk+b5N6l+QuGeHuDMrbOjO2WBAcSW4IqLYjKl6Gr/maLV2Mj83y9nTy6wXQ+oqdC18LfCVxI4jipMp7vQC46Gk02hBdQX26BzF5jrs2qSeHSFjhZYhUUQ4Tye/nmsWf4rSFdx5+k9Z3rwD6yQmraYaS4OKbIjcm3aE8CKMiitBVWjGo5zu+gQtTXDFloLMzNNdXsYrx/zOjGZH0xj1mFV3kY8fZJR3SHe8gPbu6zFpRiRiqnzMYK1JYXVwZjsRxoDWUldjEIK6HIYuaj3BiJILFyuO3/1BzugGOZqLrryZ2jn8VBvlvUf6kjo/xWDlH2iyTKsFsVHB3Q3gC5pumUnVZVzcQ69YoL3wfGZmr0aYiEILJkZRFQVHHjnCgQP7UVpvo3K2+IRbRVtZljxy9FEQgjRLiCMzLfjOjX09oJ3DTF2zeI+bDXpSKRX9oqCqzrmytxykta1ZW1+b6tiip2gKt+7bTd3ZIYIwZAJHRhPFMUJIqqrGignaCaJKkxlDJC21ljQbGVrC+mREqmoik03vPyTSRCboFgVQiCl2xzlq5UjiirQqsUbTajaonWNcDkk06MgQaUksQZgEHSkiHQpGURShs60USRwx04qIowyjkmlRMB0pe7DOYk0ogPMyp7e5GUZlQrK5NmbSh/FaDwqBlzFq7TGyI/9Io1yjkIrl+d24H30Ja5OMdjRPFjcwJiLWEWorL1vI6fuc4MKXhAxxIXGZwNoKpQVFV2J0SitOMLpCTs1fW1icKIqI4xiAPM+3u4NSSoRKEArWl5Zx7umQtMmSFlnncnbv+zH6mxt0ewPqvE81fpx8dBTFGTbPHubh/jxzuy5jx+INmHh+qs0MhaaQCoGmMX81Fz7t9Rx78GNoO0Q7QVw5kBE2uYynPfNtIGd+4P39ySWBmOry5mdnGM/PUFeWh4+vceSJk1gVYT0YAYYQV+ilI9aQSIFux/RizeakZJCPEcKiVI4RBbPtBpubm+R5kAhERtFptGllBmREq5mRFwWFq6lsHaQqNmCgdBxTWsdkMEFS08gU3k2wRU6cR9SVwzvNmV5OZFKy2DPIN9kYFwzHI4rS0kqb7GrPoT00WgnKSHJbstLrsryxjokTjAhJOwtzc5STHCk8jdjTbjkS77FVj9NdgYkcF+6e5cLz5umOxpxYPoOMHJUbMxiUeGswxLSjNkpB5UuWNs5S+ZKkkaJSz6Qesd6tae1ukOcjdu2cY3ljmSMnT6FjxfJ6LyChlGdSV5xZXSM2CYs753D1BCcstXWh6+ccS2urDIZjsqhJUZS0Wimddoa160TG4J1nOBnjVU5/MmRzsME5+dV/3/pfphjM85wHH3wQgCuvvHL7gwpw+PBhhsMh+/fvZ2FhAYDv5aq6/fbbGY1GPP/5z+fBBx9Ea80111yzfRvvPY888gj9fp+DBw8yNzf3L+5jy7nlvecLX/gCWmte+MIXAlAUBYcPH+bw4cNIKbn22mu58MILn9JV+F7LOcdnP/tZduzYwU033cRkMuG+++7jscceI4oiDh069JT7+kEQAsvLyxw/fpz5+XkOHjz4fd/uf8Ty3nPkyBH6/T4XXXQRs7OzTxVBP+nfAok3cPVzrqPs3Y0erobuhJEkvYjNDYWdCSyW7smYzfsvoeGeTtucR5wZpDKAQPiaut5JXixwYvk0V12astCZAA5KxeoDG6zcewYvNJ1nLZDuSkBIjh0+w45+wq75HShtMMuSJz4/Jro0wbYLaulgauSwRUR+aoHx8fOoBuehbIOo9pxZs2yeHNNuCObnN9is+kGbl0uGx1OGDy/SGO1jRs6SqAzRhhk6WL+HycaQ0eYJxjuO4XasYBKHFIZ67DnYeQb7OtdTUXJs7X6O2btpdTRpyxGlAm0CvkRJEZy8UyC2rwXaVGjjkSphMqzprk5wtUUrQbspmemkiMSTdSRRpoico5HUZHJALHqMRl9mvnUlMtuNs5YdCwucPLbIqIgoywpjQGtLZSu8GGF9hQq+TypX4usCNYhp3D/B9ifEc7txP+KwnYpgUA7ioLrYYPXEX9PiKDOZC1BhtZWU4nFIvHNoXRBXE6QfUmx+kV0XXYXKFtm0JaIsqaRk2O9z9swZjIlQUpAXFbUNxddWwbaytkqel8zNzYXRYWQw2mwzAhGCwnp27j+fuYUdLJ06yaknHiepg6ZyYWEnWZqwtLxEUZXoyCBrSW0tm/0BZVkBkqqypElCs5HRmnYIhRAMRyNW19bY22mHGEAZcqnTNEUqxXg0xlpFLeqQhSsFWlqkCyRn5zW+yImVwEg1LWAUSiqM0WSNRtDHjoaIOrwvpJREUqKopuDxqcbJWyLhUSoYalAqgNhNTLORUlUVrq4DhF1IjI5JkwaRTtEqjI63MDJBhmCxbqrRlBFjJFWdk5kG60+s0cgEjagVuoTO0j92D5fky8zPzSKdR62c4uGv3U198Dk0Ww1MlBDpKPwtpULMolDTxm8Y5Qs3rQaR+MhTZ036gy7tmQ6NuEMUKdB6GzQf3ldimlKSTcfyNVVVnZMTCAfSMRkXeLeVUC7xwhElhrl0J61ZeOyez7B24h/QYp1IVXjpydcjVh+PeKx5EXv3P5vxsMtwcBrnS9JkB7ML1zCz6xri1g2knTVOHP8HWtkmjaSAxjxXXX8LcfMAW1OUH2Q92RgBoTc+HBecWhtxdrXLcm9M6QXNpiLRAWRtJChh0VowrsdYD0WdY4yk6Q1aGpA547xPkU9YK/ucWVqltjWz7TbdsmRdnMGYFjt27GOkDZUM8H5jIgSglaZ0jkgI4jTCWU+zGbO0doq8GqOUoj8e0R/keCfpNOZYSGKMFnT7Q5SBsqoQkaLX6yK8Z9/CIkYrupM+y70ug8mYsa0o+zlGKvqDPjPNFrtmWqA8Dz5+lPX+EKcUk/GI8ahiUk04b2EvyoNnQmRK8rpkUFQsrW4Qq5RYx7TiCLxmubtK6QqQNXnhMXGQPDx66hiTClppi/XRBrUbUlVj3NAxGI6QOkII6JXrTCZDapdxcnlAligibbBVyWgypnICrCOLI8ajPlJJtEpJIkVZTNjobQRuapISJxkr66enZrT/zQwk9957LzfddBPtdpuTJ09uf380GvHTP/3TPPTQQ3zmM5/hZS972b+47Vbx1u/3efWrX81b3/pWlFK89KUvRQjBXXfdxaFDh7YxEj/1Uz/FQw89xB133MHs7CzwLwsv7z3Hjh3jZ37mZ3jve9+L95577rmHt771rXzzm9/cht1GUcQv/MIv8P73v58kSf7V53jffffxsz/7s3zyk5/kxIkTvPrVr+bOO+8MJ7XpCer1r389H/rQh0jT9Ps6bluP4/d+7/d43/vexy233ML73ve+/1AW1WQy4VWvehUPPvggX//613nmM5/J9363hpNe2p7n2h9/NQ9/8VOYOsdoQ1u12VhbZqhzRpsxy3cfYIHrmMl2TdvoW45AhfcO7SqEERRjePSxkvnr10lkwZEvH2fwt2eZmRiEc6wun+Bp/+eV1B2obMhmdS5oMnCQlTHu8Qh7sMTGU31gFbF5+CD1qUMk7GbGNJBT3VjtIC9yJutz5OoYdXWK2sHmwzH5QxewIC6gGXeeIlwPXSJL4jLScpbe2Z2s9u8k33kCKwvyoeR4+QAX7X0Guc05s36UtClJm4o4legofEkdhM8SCSJsXk4b6joI7b13CBS2DvzGrGEoynVUlofc3SRGRxAZSRIFLZn3njI/zfLx29l/1QVYETM3v4PZhQOMTp1HvzyCiUt0GU/HxYGD6ISj9gLrFKNVydqXR+zq7iCVMfl6xdE/+3/Y/cY3UsvgZi5twebZO9CTR2g2JEmkiDQhB3gaGRcQIxakQwkZQL+jMxx/5Itc9oyfD/FoRuNqhYkMa+vrLO7aRZZmjEYjZlpNoqk7FmB1dZV0yhbUKiRqBLF5SNNY39hgaWODq5/9LGYXdiKk5LFHHiGf5FRVxWAwoNlsorVmPDWSjIYjyrJCSEEjawTjgA/nrsGgz6DZZO9551GVJadPn57mIp/7PGyNJ8O/p+7SaWGNCIL6sqqxgzFeSPK6pPRuO3cYYCtBxtl6yigPP3VbP/PgrKAsKmo/xHuBrQiuc2fZtm8Sbhu6nudQGp7QFQ3j4SgcNxn4iFvLOYXydpqRHWDS9ahgsNmnne0gS1vEJiGSMaO8iyv6JDiiJMP7iqhfY2yJSpoonRCLUIwoFSGmkGspNXIqxK+tDXrf6TO1NiI2KUaPEUAcJRgTJAlPZhFuaULLotz+95OAhQDIKScS8aRu2/Q42HydB772OwxWbmc2rclMeO8gHDUwnBRsrN/FY90HSBOL0R6NIB9Kjp39R8bFHtb7+6n9+dj6R+gOe2i1xPNe+kaaneumMhr3b9rkt399ev7vj0YcOXUapSLiRsJmt0/Zr+g0UlSsUdIFw1VecGZ1BSEVSkFRlGA1zcYMRTXEUdJuNVBConww42glEUlMM8vY6I04vXyKyZwjjVISrUin3XGhPMpETKoS5eGyA7s4s3KS3mYXk6Yo5xj1h3gPM80OAofUkuWNZTaLzeCo1oL1/iZNnbIx7hNvRijZYWOzx2A8oihKYqNIHGitKazj3iNHeP5117DU7XG228NEJsQrljVJrOkP+zi/ivCCothAipz2bJvRYIAWnkneZ+Ik7UabsvZs9Lt0OlGQHFlHNcopRmOGkyGPnXyUXTt2UPkco6C2FqkDE9bXFWkcgzTsXtzN2eVVvKtJTAbKkTUznPDEPkyEJJ6eUmz0Biwvr2DLnHanSRylrK+tY0qPdWNsHSI0/10Eg/wvVAxuFUVXXHEFWZZtf39tbY2jR48ipeT6668HvnvHzHvPbbfdhpSSN73pTXzkIx/Z/v5HP/pRPvrRjwKwubnJI488wsLCAgcOHPiuj2WrK/ihD32InTt38prXvIZvfvObvOhFL2IwGHDZZZdx8803MxqN+PM//3M+8pGPsGfPHn7913/9u97fkwu2iy++mBe/+MW89rWv5Y477uDmm2/mla98Jb1ejw9+8IN84hOf4Pzzz+fd7373D3T87rjjDoQQXH/99f/hUNJut8vRo0dpNBpcfvnlwLmC/bst4QVe1DQWD3DBj76S49/8S4wWpFHM7GSWjeUJJx6SLFY30GwuEsdNjIkxhiDwRYWiwUqYohs2R5bTyxXzyRlOf/E4F+RtdizsoKoL7MllNh/vs/OmXex8+m4ev/8h5MYKAkE3qZi/bhFrY84ujakXHbaOGD6+F554LrPxLqJkGsNFBNPc5CpWFMVeltcVreH9dE9PyL+9n/PMxTSzFtF0fPZkF6P3Hu1rjJIk7ERMbsAmEr+wymhUc+Sxv2fpS0fRSU2ZnqI1KzHTDGUTqcAV1AR+GwqBYQvG7GXQVnkfioy0qRhtTmhoRZoExI5SAm0CGFvLkO3sHMRO0XQT+uvfxBYvQSUXkCYNLrzoSu5bOcnKuEukVxHeETtQ1mFV0ABar6EqePxIyc71NrPNDq2du9hcWmH00MNMzp5B7NyDrYeQ99g8+y3a0YAojlCRwkyzYJWOEULjfU1tS6AAb4mcoBEVrCx/g7r4SYajEafPnIY6pC0771leWaY1M8OpU6cYjkZEWiOFDDDqvKTVagXDxhQvIpUKuBGtOHHqJKu9HqurK5goore+jvKCVqMV0jiKkpXxClEcs7axTm1r0jih0UiDyeG/MqFUtibPcx4+8jBCCJIkJUri4Ga0NjAOq4rxeIwQYspL9FOTVMDmFLVngkP4AgTBzWsdOkkQSmNtyDOuRMl4eq6p6wpbBwafjCKEKahcyaQo8TaMWUXpKJzHuhpnK2qrUbWlKHKsrfFehPuxQQ4AGqPMtIA2aPlUnWXovko0Au/B6Ig0zsIxSpskcQOjA6InE22WWgc4PT6DXz6NR7DsMuzshcQqQhuBklG4KJgigYzRGK1CtrZzUIXxa5AbTN3iSmNMRFVZjDIYLakQ57rDLvAoy+n42wN1VW2P+0NWtae2jlZ75inFLl6CLzj20F8wOnM77Y4jTQWxCSNmLyV17ulvDmklCWlmSeIaJWIEBueDZjIpj+PdOnkBpJdR2T1cdOi1nH/RM8NIET/lE06xId/v+i7SsfEkxwuNQJBqyYHFHRR1ibMlyiicqqkpObtylvV+j6pyaBVRlxYpPHNzzfCa6YTECHA1l19yIZvDnLPLy+xa2IEtS4zwpM2YVjMDYShqi68t4ypoOmPnaCeKqw7uwRUDut11kkjTjECbeIqiUYwnE5yrWO/FKKXxThJZQdZIiHzolfZzS1FbCgujvOLkidOsLp3gxmffiExj8qLGO48xEaOy4tTKMk6Alp5GI8Vbi9KKUW4Zj/tkWROhNZPcUm/0yCKDFh6bxFgnWO6tBZlQNcbVjnE+IUqaJFFgYu5enMd7RW+wQbORoESAX0XakKUZ3lk6jYyzvSXG4xK8J0sSbFXhJEzGnn5/jBIwN9NisNmjkaZYN8NwNMGjWF1bB6VwTjHoj8IUS4XPw7/X+g8vBreKhDvvvBOAZzzjGU/5+X333UdVVRw4cICFhYXvWlAIIeh2u9x222384i/+Ijt37ty+P+89f/3Xf8173vMeFhYWuO+++6jrmosvvphOp/M9C8uVlRU+8YlP8J73vAdjDG95y1sYDAa87GUv41Of+hTtdnv78b75zW/m05/+NLfccgtRFH3X53n48GE+97nPcdtttyGE4Bvf+AYAv/3bv83VV1+N9579+/fzzne+k+985zvf81hB6DjcfvvtnDx5kiuuuIIbbriB+++/nyRJuOqqq7Y3om9/+9vcc889lGXJ5ZdfzrOe9ayABiCcuO+8806qquKyyy7ja1/7GktLS/zIj/wIV1111VOOy6OPPso3vvENxuMxhw4d4oYbbnhKRuapU6e4/fbbKcuS5z73uRw9epSiKDh06BBZlv03i1M/xYWAYu6Cq8mrFZaO/z1xnNOoIuTxBun6PrLWLCbSaB2KGBNFGB0FMbMtqSsJvsYZhTUNjp1soBYNtlIILHgfxkpeIo0ijSWX/uh51F5w9o7TSGoOXH8hnae1GI0nbPQNvXRMvjmLfeJqZpNF4iTk28rAKEB6Bc6jZYnwGmSb/oql91Cb8+R+sqSJidKnmBSeXAy6WlOJCnDM5nOsnd1Pa1eNT2OG8hK63RmcOcrCxQk6GWOiMIJRJhhOlJEoaRAyxoswAqS2CNxUZB+ylU3skcqwerpi7wUJXoQTotQ2FNQ6Ruua2hUIKzBKoewm48FRZlsH8U6xY2EX+y+7gSceHnB2814qu04ztsRGotQWCDWnKAS9vKbjBXVek3d71FXOMIuZnH0Ut/EAsjhCPnwMZ48zmniKypJlAtlJiE2TKGqhdYyzJWU5CDBmhigrMUqTiD4b64+A2EWaphghQcppQVJjlKDdbtLtbqBliFar6jpgKUSgRYrpyFAhpgYOhRKSYpzzmb/4C/bs2k27GUDo0mi8tzhvKcqa8WRCmqQ0sgbZVCOo1Tn38tZnTE+RNb2iIMuygDeJYsqqRungHocaa6fkOR+YjrYqKauCYVEzqD1japQFiWU86HPZ/t1cfe11YGtOPfEEVR1YktVWNrGzlGVJnGWcf+BCJkXJ6TsPs9qrsM4jvUc4S7fwzBWWyNQoXQdHvbfBIYqndjV1ZalsjXM6jKNVyCbWWqPMtINrPViLR6I9oDxeWyodYZTZHjMbFSONCrqpQy/h5H2Ojd5REtXA7r+Ucv5CEqVQgmnGeEDSKC0wkSRJDEYJ8sLifDD6bHXapZBIEQrWosynWk2Fq0MqkbXy3OsznRJtvU5bhXlwQNeU1rL3wP4pBgRC9ewZbBzh1CN/S6tVkCWaZCtaT2Q4KTl9Zpk4iWg2JUkipi7oID9wThLVDqM8wuWs976Dk+ez97JruOaZNwZY/BbxTmxzRf5Ny3sPIpjJNvp9Ws2U+azFeNyncgXWVRw71UUbSVGP0FrQiGKy2YyNjU1ULOjMNrF+SK+7gVExzSQiS2POnl0CnZCkgYHY6bQZDpcoxkPSnWGPyp1DmVDMeRze1ZS14PFTy/h6SHc0ohaWcV6jqwCht9Nox/5gnnznDwAAIABJREFUgnclrVbGPfc8zEtf8OOkjRjh+yRJguz2iUxEXjq0aTA7t5ON7pDCNkhUzLjokVtPXY545PhJbFVgpGNSVlSVo5VEeKVQEvrDHFsNqMoxEoLDt3ZkcUxeu8AVzccoHDOZYSZLEHgmkzGKiGYak2QtHnjoUZx3dFoJrq7xdU2dTyhGI/I8x08mzDQy+lUYCmysrtBqpCQiYZSX4GEw6FOPJyhjkFSsraxROxgP+uyYb9Pt96fykwibO5Ceqiim+tD/TQwkzjnuuusuAPbt28eJEye2T6hf+cpXADh06ND3ZC557/mzP/sz1tfXectb3sJoNOLw4cMYYzj//PN5/PHH+au/+ive9KY3bReJ11xzzb96fx/+8IfpdDq87nWv4ytf+Qr33nsvjUaDD33oQ9uFIMBrX/tanv70p7Nz585/lQn1B3/wBxw4cICXvexlSCmZn59nbW2Nt73tbbz3ve/lmmuu4RWveAUvfvGLtwu277bW19d5xStewde//vVtHdJLX/pShsMhe/fuZe/evUwmE375l3+ZT3/605RlGa5aveclL3kJn/rUp5iZCVy65z3veUgp2bdvH2fOnGE0GpGmKX/8x3/My1/+cqy1vP/97+e9730vRVFsdzxuueUWbr31VqSUfOlLX+L1r389Z8+eJYoiZmZmuO666/6br9lTV6DCKx86CrsveSa0NhmufxW5rkjzNk23B6UzlAyCeaVk6DykaRgLFBLnJ0gLymqUihlNGsh0AXdxk+VvDyjXlpFWkJ9vWLxsF0ZnRKnh6Te3uOyZ51HbCV5CVVYIG5FMOuizNfXqeWT+QHA1RhatE7ROkDp0FqgCWNoZhxUNVh+Gxng/zXQGo2Mi5TFanjMTbLkYncWKCl9rrImIrSMeLTB4VHBs+SIY/ieMnMe5kwxO/g2dxa8jZIFQHqkEUoXnGakURYwQQbdVyZxSelBl0HspkNoSxYrJ2ZRyLUL4EUg1TV4JG6+UCQKLkHXomAlPNV4NonsZ4tv2XXAAW/0nTj2WsNS7m5noNFlig6NaKHytKa2hnt3F2cU59MoGzY2cTSMxh/Yzyf8Zv3GE1AzpGAttARhcrcjzitNnuizuStizZ5ZGo02Z90OHTE5QTqKFJ1cSrWvGmytk2flkaQM9NRF4QiRfYiIiE7HW67K+sRE0YTJsOPhzfvatz7uzjlNnzmC05sD551PYkFlcOEclBUYKUhODtUhpKPKCmWaTLEmJo5j4yXF0hC3dO4eSkvFojNGGJD4HwC7yfLvrFNhjW27jUJiURc6oKFkaVYyqCOuKabpGzoljx7npafvIsgxva5CSYlKRlxVFXaGExBhNr9djV5yQNjJ8FGPSBtXKKo4KgQMv6NWS1WFJZLZkBQJnxbYO0LpQGJZFSVWpqU5xym00ijg2KCWpa0dZhMQa7yTKS6QIbECtNN56tDIYZVAiQhjL7n2XMrdjkclomVinbOYlbnMNJzXSm0Ae2JIZT/WVUaTQkSCQT+onFXfinHNchD3FT53wdWGxVEh1rlDfYsZB6CZvFYNlVZGXJc3ZDgu792zDlUMHUrC6fBRhdiIaOxhV6zigHQuSSLHZz8knns6sIokh0RKjM7QOj8taRy1qHDmJq0mrAapVcOiZzzzHJNwy1z1ZY/39rif9+pYRqtOZYfd8mzSJSSNF0zSYVFB6SKJZHnviCYoyZ25ulslgzGhYUJQVtq7xlcXs6BCJiL279uDrkuXlJbQ0VM6Tj0Z0yxJbQY3AlxN6G0vs2XV+0K3WBUKGrry3FUXp6QtHFsHOmYzBeIiTMeV4TO0EMkoYDfvMznS49OAFrK2tgYu5/Ipn8X996v/mwgsOEmVzzMzPYp1jaAWVVjTmYsTpCcNqjsFEMBh7NoarNGKoTm/SSCBNDFpJRsMhuZLUCPIiXBzu3LkDV43QSQLWM+5v4pRgbB2TSQD+z7YbxJFiPC4oi5pqXJBXsFmOyXKYm5unN+hRlSVKCGxeoCNPhETEGb6u6OdDjq1u0mw1A9tQKKRztNOYoixZ2DmLrS3r/Qm9/hgpFeV4RGok2ksiL1HK4fIJRiQM8zGxSX7w98n3WP/hxaAQgjNnznDq1CkA3vGOd/DOd75z++dlWQKhA/e9Okz9fp8Pf/jDvOENb2BxcZHDhw+zvLzM/Pw8v/Ebv8HP/dzP8alPfYo3vOEN3HXXXXjvueGGG77nY1pfX+fjH/84b3nLW5ibm+NLX/oSAM9//vPZu3fvU3631Wpxww03/Kvdr1OnTvEnf/In/O7v/i7NZhOAd7/73fz8z/88t99+O895znN4wQtewDve8Q5uvPHGp3TdttaW1uUd73gH//zP/8xP/MRP8Ju/+Zt89atf5dd+7dfw3nPZZZfRbDZ55zvfySc/+UkOHjzIBz/4QTqdDm9729v47Gc/y8c+9jFuueUW7r///u1C8Y1vfCMvf/nL+djHPsYHPvABfud3foeXvOQl/O3f/i3vete7uOSSS/j4xz+OEILXve51vO997+ONb3wjMzMzvPnNb2ZlZYVbb72VF7/4xdx666187nOf2x5Zfz9LeBl0P4Kp03iG3Ys3c7pYYW31G1SywpoJTg3wMgESBMFdGEWGOFLUtQYlcEIBoVtRO82knLB44x7q3Ztsnh7SbCdc/mP7kHOz3H90Dye7Ke2o5PIDqzQaSxTVCGdBK2h5ze5iL/XgfIibKKUxJChliOPwZUVNlYPHIrFoF2Gf2EOrsxutI0IUbLy9gW5hQLwPkNpgCvDE1mFlROoXOPGdeYh+lE77AHGWMO4bhqs3UA4fIWsvIeU0Ok9ptErQukWSL6IHl+AYMUzuo1ZLOGmR0iJlgE8r7YgV9E+miN0CL0o80bn8VB86nYIamCYI2C1dWuBiaa04/4J9SC04e2SN1e4TxMIidUzaPkg2d4DG7GVcemAHJxZWeOLEaaIqp7O3iW48SFw8QbPpMJELyBUMUOCcorSOslScXV7B0+Kig7P4qUtOeJBWI30ZUhRkhSstUSsUWVqAkDKYI7TFao3UGlRIjMnLkiLPt8eE23nGLkSdrXU3WF5bpdVokKYNKu9waUo20w5ssdGYcZ7TjhO8nVAWBXGSIDhnAnmyDGCrOy+EYDKZEMdxMKqogJo5s95l3k2xJtN0EMJRp64q8nzCmd6I42s5IxtRuz7eCaCirCq+dfe9zM+mJFKwtrJMVRSMixJhdEh6sBZnLWvdh3EmZr0/4oGHHmVjFALeJBakwgiPHU2IfAPRrqkTF3h9MlyYWVdRlTXjUcFo4Nkx3XjklNmYphHGSPJ8mnVtBXYL7SOCllWIgJ2RUqCUQGkfCudI04x241q76dUjiuWT4KbJO97jhCfy4f3nXcBDVaXF+pDEs51H7LeyLM5hfjwOIUUoBq1lUk6m7/HwuigZzDlMHd61C13BPM+pvOc5z7mJKDlnYgzKZocxF3DZjb+GUoYHHriLExtrNEdnuXR/n5Or96JjQWT8NEVJEsUZ2mQIoanrCchNIg+11rTmLuVpN74WHZlzIKTw4hHcoT/4Jv/USbEn0oo0svQHK4ylYc/OBbqbIwqbs76xyWQwBinIJzXdbp+k2WIwGqKE4IrLnsbenTtJlKDdyBgM+nTXAjYpSlIm2RjtQJqMdL5J2og5eP4FNLIWyxubbI4mOOT0gkASS4ETgomLaGZzGJ2QNmaZDDdYXu9x3nkHcM4xk8S0s4Sy0yGKYr71rW/y1f/yRcZXnWKlNyBbWMB5WD27TuUs+/bt4cTpJY4ffZj983OUVcXpUcXcngt5pHea8WCNSw8scsPVlzLXnmVjlJM1Z4izcKyzLKGVJiitsGVFz3oKHPOz83Q3Nqkqy/xsizwfI5UgU5bN1R6L7RlcoqmsRMiYKJ4hilvMNAw2SckHA2Y6c5ztDmg2GuRlRXvG4HHsWJxnPBiwtrzJ3GwHX9ZQeRbnd6Blk93tHVgvWF9b4dEHv4Oe38HF+y6kzPsM+ptMck83rxH/Di7irfUfXgwCPPjgg4zHYxqNBs997nO3C6s8z/mnf/onvPdcd911LC8v84UvfGH7dp1Oh5/8yZ/kM5/5DCdPnuStb30rQgi+853vkOc511xzDa961at4+9vfzt13381Xv/pVHnzwwe1C5cSJE9x+++1AKLZ2797Ni170Ij7xiU+Q5zm/9Eu/hBCCxx9/HO8911577VNGfE9eWy7lrfGv954LLriA5z73ufz+7//+tvZwa73mNa/hwgsv5H3vex9/8zd/w9/93d/xj//4j9x666386q/+KidPnuTLX/7y9u8vLi5y5ZVX8qd/+qd0Oh1uu+029u7dy6FDh/ijP/ojHnroIa6//nq63S4f//jHAbjtttv4sR/7Mbz3/Mqv/Aqve93r+OIXv8gtt9yy3SF9wQtewNve9ja01rz97W/nAx/4ACdOnKDX6/GBD3wAay3vete7tsf3L3zhC/nDP/xD7rnnHjY2Njh69Cg333zzdgH/W7/1W3z+85/fPl7f13qyyXjaIRG02HHeK/nWyXvp7jyCmhsy5BiV20PNxSh5CbVdJM8VVQV15fF1sOgHAK5DiYK6mKATy66bFmik59NMI6TJ+Ic7d3Lf0Uuo9QLeFTz8xEO85KYhzSic4LzwWAlpGoPWGOER0uGVRcmw8aeNCGEz+uWQSgokCik8MlJEQoGW5wLspkgLE0WBSeU9oxH42mFFRRkJWsksTkXYpQJJPIU5G3Kl8XWKraNAyvMK6dooG6FMhHYN4u4VXJj+BEp4DvcTis7nQYxDqglbvD0JkcUuJYhOgmjmwTjjHN6GtAlPiBHzTlE7hYrb5xyoLuA8VD1BF/cznx6h0QzpGt3qINmeV9Ke20OaNYlMwtzixeSHxmiZs3HsL1DDx2hlnjjWGBNSO8LmZ/BOoK3BqMArW156gsiEK3JbT/C+wlJTIvA2FI5ZnAUTjNFoAV6oKYxYIUS9DRG2M02klGz2BywtrzIpK9LaBuCvtXjhOXXmDNJL8J7heEBhEhbbbZqteYx0DLRio6zoDfqMBwMcnrIqqeqK4WhIHMV0Oh1m52bRSocisw7HzTqH1KFIDDpFzXdOrnNBYdk1k6B0hJMidGiRYEuWBjmHzw6YyBQTK+IomnYSIxZ3n8ex9TU+9pe3sxB7LpjLaDUbzC4skDZS8DAcbNLv9jh+eo1/eugEZdIiyTrEUTxNFwn4nbquWSod+fGV/4+9Nw+y7CzPPH/fcta75Z61qVZVqbQgCYTYBKIxi2QZMILAiDEQbYwHBnsiJgabgBgYHIz+wIRNeIEx7mmD3YQddhvamM0GbGiBQI1lCRCSSipJVaXac8+861m+Zf74bl5JXtphQ5t2N19ERVRl1j335M17z3m/932e38NVO6botEY4qZD+iU2AqQwX1noU/TlmF55Uang/Npkw1qYGrVvY0I3zjydRWR4pwrhYq+CijJIAN3/g9DKPrW8wNAKhEpSBNLEkZoD2Fi/BSYWpK0on8TpoJI2xeDuGuvtQ0DkXOrpaBAe0E4KjV17G39z3PQaDGu8gjmxIfBknQfhxSkpVF1gnefrzXsDufftDsoRwbEe2CRw+mqbZWUBKwdTsAONXGPTnOXb6BIONY8xPZWhRI6UnkjFa5UTZDoSOYLiENyWlKvDpTi6/5v8kbR3mqemygn9uIfikS+lkVdWIle4Kjz3+ON3eiDSKuOzAfmanpqgbjgPX7WPHwjwqknz5K1/m6NVXcuHCEivL68GMJxyRj0nilDqp2Ls4R9rssDC/wPpml7WVFeK8SWks7VaLVqyx9ZCNzXOkWYr3kmbeopFESC9QUYSzBuUTvNCkUUSUxWxqyUwzC78PW9MdDumXBbYy3HnvXczvm+H8ylnOr22wd0az/5J9PPLQg/T6WyRZMMEUow2SYplMRZw5vcz+o5dz1bXPJ6/WOLhnB9aUNERF6RRT7WmqusJZQ56k2LrCGEdRedIsR5QVnaRFNt+grEqyWDMqoNlsMuhvooVnsdPGj8DEOXkWURRDvFBMtzJWzp5mutFGqYhGNsXsdIfl1SWOHt6LjOOQsFKdob+6RDPJiFodpKtpZjErA4F1MVXl6Q0drvakwuJUSicrKbc8XWNpZE3SvPWkKLvvb/13UQzefffdeO+54YYb+OxnPzv5+v3338/1119PHMdcc801fPnLX+bNb34zEC5Er3zlK3npS1/Khz70IV73utdx+PBhIJgptrt/eZ7zxje+kV/7tV/jV37lVzh58iQLCwvs27ePj3zkI7zzne+cPN+b3/xmrr/+en7nd36Ht7/97UxNTU2eC/g7I0/vPV/96leZnp7m8OHD/O7v/i6/+qu/Ovn+u9/9bo4cOcLHPvYx3ve+99FqtTDGsLW1hTGGZz3rWXzyk5/k4Ycf5r3vfS+f+tSn+JVf+RXe9KY38Sd/8if80i/90uRYb3nLW+j3+xRFwY033sju3bsn34uiaPLznjx5ktXVVXbu3Mlzn/vciSazLMtxN6qevEYAL3nJSyY/1/b/kVKysbHBI488AsAb3vCGp+igIEQV3XHHHQDceuutTzkXIQR5nk/MI/+c5YQkiXbwb571Tv780f+bLX8c3Aa2PsVGcTe97qUsmpfgyqMg8pCzWnswFcYX1LYkz/o0korNngl6LxyrvRYPnpzjrocvo9k8xFSzSVVazq5Zjj26ylVXrrBVDzk9WuWi64LUbHU20eICdXSEtrwULQTWlZgiAkY4X2Gx466ERSTD4EIcmze2Myk9TPRNEEZfEosAWnM7OHz55VRFwePDb3Li/AX6gzajKsNUW4jkFI3mFljFxqmDXHjkCLgGuw9vcvBpfagkcQuUiJGmidvGzATQG9tZqNYqbJkRmQRfjfC2xrpAwLdmQG01tVVY4zGuRdzahzEWZyXGjfD1iI2zX6Nc+jSz+ZA8ien6KZS4nkZnB0naII5Toigm0xmNRsbamb+mv/UQiy1NmlQkkUVE0diNGs7POYeQNUIG8r5xjrMXTqCjRTQjSmswHrwzeCMoiiaNqYMIFDqKiASgxnxBG1AhZVlSjhlyxhhmZ2ZYXlml2+uFeCwVOoaDYYHxjlRKBlVJb3md2akpkqkO+cwMKooZFAonYKvXpxFFZHk2kV9456mriosXLzIcjTh8+DCCsJmtqmryGRTjkaMQgjhNsVIgoogszdBjnVxta4rKYbwkTjLitEUaSdqxp6FqBJ5hHrPV2s2oFqiqy9ZoRGduliRNmO60x9nTJZtdRdqZoqksJE1asaATOVLlMCj6RtGtI0aVRNcCSzCGJHFEJDXWQ2Vq+q7ESoXO8wkw3lmHNY6iqKgqOdbbPZXp6N1Y1+cg0SFy0Y2NFkJLslTx6PoF7l1bJcln0VFCXcywvHWejjlB/7FvUm6toXccoXX1TRTtXdS2BmPAhq7qhPU47oQaV1PVBXmUgRNgLaZ8hH7vqzgzT1VeSpJOEcVjhqSTeCeo6i0Ke5HLrtzJnp1bDPvHyZr7ET5hMigWktqMOH36UaIoxVpDu92mNo7VlV2I5GVs1vcy5U8h/NjQJCweg/Qx3of3kGeRS656J1n7uskG5qk38+/z1u6fMId3B30eOXUKLzU6TTHWc9e372Pv7l3sXJylpGJpc5neoE+vKDi7tBS0hkC/GMAmbFaOTNS0mjlZGgDg4f1dkmQhvUdXNVPtFlVVMhiNaKUZxhqUEriqQCaaPI0x5RDqmtrVKK1Io4TCaHQUUxQj6srhXc3AjVjtDji/skSpSq5/3rP5+pe/zp6rr+XwlYfxzjB36S42vtujrAI08cU//pN4Cf1uj84d99BdOs/Rm14MGzFTecxwWBELQSuNSGRNoxGB13jvAq/SeYgUzgmUiIgUxDohjhTCWxKtSYSgsrB7bgEVCURRk6caUxeMqiFFVTOVLiK8IBnzS9sNTauRUJU503PTrG+sIxHMNXPS2RmyLOXA7nmWlpZpZzGtTNCc6VBUjq2tmNnZafbu3sXqqGR+qslgc4ON4ZD56Q6tNPl7jUP/nPVDLwa999xzzz0AT3HCeu+57777qKqKI0eOTDR5T+6uvfzlL+czn/kMp06d4hOf+MSkaLv77ruf4qx94xvfyEc+8hHuuOMOnHNce+21JElCq9V6yvFuvfVW/vAP/5Ber8fb3va2yXkcPHgQgG984xuT59g2gdx8882kacodd9zB/Pz8U453yy238NGPfpQkSfiZn/kZAL71rW/xyle+kl27dnHvvfcSRRGXXXYZv/3bv82nPvUper0eo9GIVqvF61//+smxXv3qV09G6Z1OZ/I6Xbx4kYceemhiHtnG8rRarcm42VrLX/zFXyCE4Nprr2UwGPDggw8CTMbWAF/60pcAOHjwII1GAwClFJ///OefuPGNi8VnPOMZkw7kdtEshODrX/86xhiuueaa/6r28R9b0oeL70x6KS+99F385/P/DwPOYb2lNjV18zgXNk8zHLyUjnsBwiX4WmBNTVmBG21x6aU1ebPg8QsFU2WDi5s7+cb919HrtjG6g1SaRqJwRmGV5vjmGksX7qNnB/hEIBYACencAGtOMyjvYThcoGGvYd7cgBuEgZSpHbYOnTVrHS4ZBiH/2J1o/dil6NykOACoKjPOHa5p5i3yqQ5J1WDHoQ0e2PoCo+G/QYtZSB5l9+F7kPE6qycv4/S3XksmnoYQkkfOn6UefJOjV97H9y54EBHr2Z3gSnA2aMAInRvnLLIImrAsSRgWEFUaHXmMscFgUUlMLRmUFtU5SJzvwVQGb2ucsQxWHmL9/J8z0xiRpQFW3NtcJNtxJGji4nic8KBYW11hdW0F5Zoki7cxKO6lqb+DjByxitBRjpJxcHSaEVKAoMJGnsRCWZRsbWzQzjXYYLIoK0G/EpRqJ82ZPdTrRQATRwohNesbGywtXRxr8oJhQCuFFYLRcEi71WKr32Mr2aIsR0gpydKEuWw6mFCKIdnxx+hsblBHESvXXE3+ghcwQOJHJZ1mQqLTybFhbECI4+AKHgx45JHjHDp4KBR/2xrCSQfNg7ccWWwzN9uhkaVEUYqS8TgztSIzBp21yOJ1vLdMtxKaiSZWEhDBRVlZNnoDYtmkLoPT0TpDUdU4G5JDUi05vHuWznoPpQRTzYwsiYhkSPCojWFQGtZ6lmYyzY5OmyxTaB3yscO1w5CVhixp0lvNcdZghQ5d11qMC11wDqwZGzGcwTqDdwZsiTMFUd4CXCiSXIx1huHQ8TfHTqDyPeStFo1mwsaaxW6MqO7+FPuHj5NGiu6jJ9gq1mje8FaqKA/8vXHud9D61RhrMDYUgkU1ZK6zGLBK3nDq0a+Ri1MM3WkG/RMMh/NoOYeQGciKPNliqrnJJc0eSd/w4J1/hpUxzakr2H34J1m85MUIFbpccaL55l1fY6qzk6mpGbwwAbQeaWamr8Z0p1gbfJY8uYixBlEP8cNVlHAYUzFyGdOX/iz51A14ND7AnPhB3M3DUUIOuRj/zeEQ3rFy8TzeCqIkxTrL0soKpi6wpiRJVMiKdlCNKrx12LpGWU89HNDKO8zPz3Hu3FkQCicUG90+/VGBVgLvoJHkSBc2nVpqOnmK947haMS+nfNsbW0wGFWUgyHT7Tb9/pCyGKKERKvxBklpdCbQusHGyha79lzC7PwMG1WPuN3imhc+n9bUNFkjYvXMBZYeX2HP/r1cddUVPL50DhVHlFYwtbiLo0cHKC9QQpBkOeVgA1cX6FQRj+PrGMeECiFQKkJbTxxpvIgpygpflxhXjHPDLY1YIl2F8HVwxCcNWsUIrMcgsTph2BvS29zA1BUqb6LwaCyx9Cg80hTMNjMGpWF50KXTytnY2ODKA3NksWK61SLZ3CRTAqcEWaJDA0cIWpFmrt2kXJzj4uYpDuzdSarE3+os//PXfxfF4HZn8G87ibdNJdt6wdtuu21SbHkfRhzPe97zuOWWW7jqqqsAJuaRdrvNZZddhveeK6+8kuc+97l89atfRQgxGfe+9a1v5a1vfevkeN1ul3e84x389E//9EQbKITgFa94BR/+8If50pe+xHve8x5uvfVW7r//fn75l38ZYwyvec1ruPrqq58yFvXes7S0xMc//nF+/ud/nlarBcD+/fux1nLs2DFuv/12Xv7yl2Ot5WMf+xgAV1xxBQsLC085t+31hS98AQhdvUcffZROp8O73vUuyrLk6NGjzM7OEscxnU6HEydO8IUvfIEXvvCFfP7zn+fTn/40zWaTN7/5zaysrHDq1CkAPvWpT/GqV72K9fV1PvjBD040hAsLCxw+fJiVlRX6/T4333wzd955J+9+97t50YtexI/92I9NupN/9md/xste9jLOnDnDhz70ocnv8vtB3IRumkMiWEyv4rk7/zfuWv91CrFGZDxGQamGdMVfYbY87eoGqDWmGiJPP0Jy7gHcZo/06U1sIVnvwndOzjEUl5FPaVbWlxgWXZY3ampX4NPvMpj+DirtojOBjCKkYtIVcM7jzABbPkavf5ZR/xSL/sfJ3H6cEVhXY0xNXdf4rGTQ22TadELHwgUn4/brsS1cDzfPYPo4d/oEzXaTUdknmVvhqhcvceHkf0CZJlauEU07jMm4+OghIn+UdqeD1jGbmwnnjp/ikqffT7Hjc3grcNEmxnXDDdr58cjS4mqJ6yUIUZO3oVvUjEYSLRVlLVmvdlKZWWrfoopj0sYzWFnrkyYeJQWu7rN05ks01BpJrIhjgXEJFQfI00bQSI7TNrrdLZaXl2i1msRpjLFtivWMoV2nJc6jdE4Ut4mjFt47ymoTvMM5UGpEpByRzOn2K2QSUZpZhm6OSkxRJAmN1kE2NyuiuiJSoYA5e/4CFy5eJNKKRqMx1r7Jp1wvojhGx5qyKmjmGY1GkyjRRCpFW8foge+ye/Uic3mM9zXn772H9SxhcMk+ImvIs0YwTygRBggJAAAgAElEQVQ1Dp8Px7bGTPSCg8GAkydPsmPHjklHcNLBGncSp7OETGnyJEHH0XhkLnFOYaxhs7tCS3um2g3SNCOKU5RUeCB1jkZd04oFg0Efkg4XV1bYsWMPO3fupq5rNlYv0spzhIDpVNFuNUmTFJUE/ar3HkxNKy1pRDAaVSSxJskyIqnHco2Aa9JSUo1G5NpgaoNwBm8JTD4Xio8gIQgoG+MNxhkq6yhtiXXBTCG652HURXVmYW4v/aKm219DxjuoTU01ijDOw3CF6eF52s2MfHEn8uw5BksPUw/WoJGEce0Ycu3GyS+VKSjrEcNygCDwXytbMtzaoNUs2bO7Q20Nw2GfohhhWaIqHc6X7JyPaDc9SeTQCvAO40tGvW9x/G8epewvc8nlr0fIBjsWd7BjfpHNjQGbKBCGfm9IpzPFdKPJer2Tze5eFuuLKFkFY7CpcQJGPqN1yWtozd+CFxpE2PRum1R+MCvoIENrMDi8pbVMNxp466mtQyhJguVZlx/G2YpWM0dFMcPlFS7bvZskSXj0kRNcfnA/jSwj0THVaIAUgqqucbLCCkFdjshaMUV/lfbcPKbYBBUkG3kSkeUNykaMGWzSjHxARzVnSLRGaQNKkcmIsixoJIqZdkJhPI+fOUdregGlPd2tLvl8B+8l7dkWjUZKJBS6KDiyOMVKWdLotGj1MvpbPYhz4jSlPd1muL4JeJrtDo3UUtcRisAszbNkLHMI9/hmq01d1yg8G+srNJJ48rVG1giFoYgQwrGSCJYv9Mljya6ZJirOsN5SuoxOBM0058ywj5TQyjP65Rba1aRSUPY2iWPNqcdO8vjpx3n+M65gZdQNmC8JWkVIDPVgEyE1CQYlPDqSpHFCHAvyNCbRkEhHFv8T0EP/yPqhFoPeey5cuMC5c+dI05SrrrrqKTy6J+Nm/r7C4otf/CIPPvggH/nIRybff+ihh+h2uxw4cIC9e/cCobv1lre8ZaLB+4dYfJ/85CdZXl7m7W9/O/AEb/DGG2/kbW97Gx/96Ef5wAc+wAc+8IHJcW+99VZ+/dd//e+MkIUQ/P7v/z5FUfBzP/dzk6/t2rWL97znPbznPe/h9ttv5/bbb5/8zPPz83z4wx+m2Wz+HS6f954XvOAFXH755Rw7doznPOc5xHFMURRAKCLzPCfLMt75znfyvve9j9tuu42ZmRlWV1eJ45jf/M3f5Morr+Szn/0sRVGwb9++CZB7NBoxHA55wxvewOtf/3qiKOL9738/t956K294wxs4dOgQjz32GGma8oEPfGBiJvnjP/5j/uiP/oivfe1rDAaDCcn/+uuv/6+yBf/R9wbbou3w+D3ZC7lupsd3ev+OSm6gVI2QESWb9NxfYYdNZHEA+cgx5r/1VRZsiXi44uS3PbMv2cWZiwO2NjvIdsbU7DS27NO9+BixrPGd0yxcdwfx3tMkqSbWIDQIte3w83gvsRZsIlBJRRF9j7NrXRbNa0jqPRhjqeoRo6KPSwf0u+cZ1TuJTYqsDUbIialg4jj1ofPivKPobvHNv/oK/fg8B2/Z4rIds+y7oosZeu67e4u6iKjjnKIvSJEIYpACL8J4rqgGRMkGXlY448O5mlBwmtphK6h6ksHIkU116ZVbKILTcqtyuMF+InkDsrOLOG6RqAhsQq/bZ8NuIUSENucZbD1CHovxKEUzNDkkM6hIjxMzJNYaHjp2jE6nTZaltNpN3KBiJasot/agWA50fd2g2VqkNjXGVZh6gBDVWBQtcNqzVU9hzbORyVHIFshUmwbgRESv1yd3IanjoYdPsNnt0Wq1QsRcFD2lexccwwGns7a5zvTUNM1GM6Aq4gitIzbOn6d7bon5uUWSdgtdDGhdXGLj5AmSxXnyZgsVJ0QyoGgm0olxt1yaEAFnnWNzc5Msy0jTlDRNqasKE8cYpUBI8nabUVnRVhFpFIf8VyFxzrO6PqTX7TE9NUXWbBEnMbEOY00hxhy8WCIijROKsiiYnZ5lut1m185FnKnpr+xgNBiytLpKsz1N1sjIIkmkNUqEz5WNNFUU43SCEEM2Nzdpz7RIZOAlem8xVjAoK4q6Ik6nqXp1+P14D9JN0C74sRPaBzaiMTV1VTCshyilcY/fzeDYX9IcrdJNpzBHX8Zo99WkWLa6Z7GqZCQzyqpHs3ueetxF11sruLqgihpgSqgGeKFxbI+HDbWpKM2QwahPt7vB7PQCo1Gf9c01pBiwq2VoNCyN3JPFDaJkjq2+5NjDJ2g2NdNtR5YQXpvxZ772Hm08ybDL4w/9fwjdYM+hV7FxcRUKy4mHHiTvTKHilHZ7hqnWNM5WOO+pa09V1kjpsL7GArVM6Vzyk3R2vh5E+iQUyA+0DATEZEQsvWPvwhyvfM7VxLEGRBjlj6/LkZQokU7QNy+89nKk8CAs7cO7if2IqKpRNqKsStqxJ8pzKuMRWKb2TJMlYVOkxRglQ9C9KumJRE0rjxBS4ZxFKTk+x4pd7RxrHVJI6iglT2K0L9Hec9+37+bS626grAXdXp99B/cEpFGsSaVAiojdO+Y4MJXx+f/yXQbdIc1Gk9m5GZYurFBLg1Ae40P05f3f+y7P3D9DM4vxzhLrGEmNFB4vPFpHpKLEjgdZQxXMgK7qkUhJVVS4usIicdYgXEkzD9pIbx1C1EhvaAhJYyrBOc+wGdPJYyJpWZzKyBOB7CQkcYq3Ndce2ctUBrOtFFFaPJ48jfDGkseeTFdYaTgwk5Me2EUzsmSxwhmDBi6Zn2Mq1XQyHYxRP4D30Q+1GBRCUFUV73//+2m325NO0/Y48tWvfjU333wzr3jFK/7exz/00EO84x3v4LrrrptcmBuNBu9973s5ePDgU8aUt9xyCx/84Acpy5Ibbrjh7z3eyZMnede73sVll132lHNUSvEbv/Eb3HzzzXzuc59jbW2NXbt2cdNNN3HTTTdNRqhPLnzqumZpaYnbb7+dxcXFyWhQSskv/uIv8uIXv5g//dM/5eTJk0RRxFVXXcXrX/96du3a9Q++Vq1Wiy9+8Yv81m/9FhcuXOA5z3kOR44c4a677uL5z3/+5Pjvfve7efazn82nP/1p1tbWOHDgAK973esmPMPtMfpP/MRP8LM/+7N87GMfo9/v85KXvITbbrtt0uF40YtexF133cXv/d7vce7cOV71qlfxpje9aaLNfNGLXsTnP/95/uAP/gCA1772tZw6dYqVlRVuvPHG76szKD1PQFc9SBFzafpywPKdwb9jpAdoHDiF7Yzob9yFPLtB/sB3WDAlM3PzxM5TrVykuDDCzGmcu4Apt+hvxbQixezjX2Hn5jF0Y51B3iXeE+MSiYgkWttQEcrAJgzIDYlRPrDhZE0tHmP5wueYrm+BokVR1AwG5zEzPWot2CxXSXQyxl+Ad3riMA3FYABWV8aD9VjbY/bSkmxhxEjUWGVw2YjmdEZ3uSRLhqTtRyi3TtHbzIIL0CzT2vkwXq3jiwrrPVZYXKUCyqL2mMpTjWDYr4h39Gju7CLzirYOsW1OCHI9R66uJIraaBWBAuXBuZzaBdxE3dU020eoq/voD7uUQ8PIZ6RNjXbx2KgiGQz6rG2s02xlRFFMnDYZVQOMq1EMsUA8Lh6qugyAYxe4dh4fmGNCUkb7aLRvRE9dSZI3UbFGSz3O5lA4m0K/x+nTp1hbXWVqenqMb9FEWiPHxSnj19pay9rGBlII8iwjTsJIO1YaLSWncVx6209xZN9e1u7+G/qf+xJbQqJmZ8nSBpGShHSzkF4ilZrw6sLPHmDIcRRRRREbm5vMz86R5w2WlpaIknicVCFopzGmrihGJZ12J0R3CUFVlawsL5FnMXkakY1zgiMdjU0oQZ+naoPyBT5VuMJhtrosf/fbDC/ZjR0O6H7325TtDkmckGeaPFLoOCGKxt1SHzJjhazw3kCq2CqCzrI13UBpHX4ntaDXGxLHGcprBnUJPqT1eKlgOx6OADi3rqauDbUpKaqCohzQqvqM7vtzDvmLtGamGQ2WOfXgF6jyaY50FlkqS1Y2ljHOoU3AW53PFomG52iVm6z7lN6up9EULWQ9wI9vW26cf1vXJcOyx9rmMtbUGGMZjIYkaUKetoijFIVGeYfyCWUZ8+CxR0kT6OSOPAnpN1pppA73jMg6etUAY0pcOeSx73yCxx85w+OPj7AmZ6bZoCiLUNjnkl5/HeOgv7WE65+gH4URpE5qhILpS17DzP43IWT6hNQIhxNjZ/cP0BUaVigQYinppAlSBM27i8KUQEoxjjqUAbg+0TWH4shYF+DJasxmJA1Fna2xPgyhlY5AqIBQ2k5rERI1jsYM17kA/NZJiA1FiIDRcZ40inF4EgRZBlpAkip+6qduZa1KuOPOe+gNBrTbLSIdYOJpkjLVaLDv4H7u+Mp/5pU3v5xWu82Xv/l1yqpiup2zubmFQLBxMYDxLy6dJ7l0njzROCNwXmCcmVyLnbd0+1tsc0dbzZD+5WyIQXWAUBqPxFmYauYw3cJ5P04ekkgRI7wf45k8+SU7wDmUgFFV4p1lppUh8EivaWQxi2Pt4+L0HM6XTLeb4OCSHXNIAiPWNxIO7ppFiiqkSglYmI2Zm53DO0cWqx+YZlD4v22L/dH6H3p577npppv4y7/8Sz7+8Y/zpje96fsq2v6ll2PE8eEfcd/wD6jsgLo0lEPPYEkzuq/BzFe3ePpqytzsAgjH0toKvec1qJ/W4sTpRR7beBY6PszOk3dw3eN3MJ85nJecE8tsvEUhXqiQSiMjjxAaKbY3Jw5nfTBW1I6qslQDT29dIx9/FsnaVRTDc6TZcbYuPc7S6YJGdxe7eTbT2RxZEhNFMVLpJ4pBLMYEfU6v7DOcO8eRlxtsZ5naFNT1CFsXjDY9D31nhTTNyJIWZ+8/Srl2PciIbOFhrnzRMdLOMiDAK5wvcSaw3+rCUg4FW+slvjbM7GgS5QKlQSnGHQpJq38dO3s/RaRytIxDEbytNzSO2g4oC0nZO0O19Rc0zd242jCoBEOOMnXgNTSn95PHTQbDHl/7xjfYsTjLy158E3OLM6yvdrnrjv/IjP00s61Nkigh0m2iKMN5R133qesBtSkoS8d6uZ9R4xW0pg6ExJkkGYOh5ZPQLZaNs6e5/957mOm0abaaZEka0l4iNfn/EHR9w9GI448+gtaaOA5C+DRN6bQ6NPKcbl1x3Y03Mje/wOrx43zt/3ovwzii9dzrSafniOOYJA43pSiOSZIkpIxUFVVVUdU1dVVRVhWDwYDBqGBxYRFnLWcvnEdKSafdJo0Tdhw4yGA4wBjDoUOHaDYbKCVZWlrinnu/zfz8Aq1WizxLSJKYOE4m5qy6rqmqiroyDKo+o80hq3d+E/Pde0n3HyCzBnn+AsOXvZTWpYfJWw1aSYqOI5JxTvK2mayqSsqyYlRUbG1tkaYplx46QN7IMbWl2+ty7KFHaDaamH6DpUcUSdQI6BQVnNHh9+GCYcQFVl9Vj9jqrlOZAXbtFIce/wpHcs/MJQfoX7zAqaGjfO5b8dOHwmNcTWEqyrJgVHRZu/Ao2eACcdlFtnfSOng9OpslEmMJiQdrHaUpKUddtrprVM4wM7VAK23TyKeJ0ohMQWv6Y8zM/SWNFNI05fhpy9mzyxy6pE275cnymCyOiKMUoRuMyoqzZy8wKqtxhGSIDyzqmP5wGuOPoKOr8SJnUIwY1A6RKGztKDZPszi7zszUKq48Tp7C/IHXcPgZ/wdC/v0hBz/YtW3xCZ/fh+//L3z3r/9ibNaST6B4wn4gMCC9R8vAlVQ6mLq2EwqVlOhIT5odT0YnBaOKHL+fXNgcCdjuTioZ3PPGOqRUE9mGlGrMNg1Oc6UDh1JKjXOG9cIy1DOcOXOW//d3/z0Le/eQt1sY43nBc27g1pe9mFwrfvcTn2DvngN02hl33v8AC/t2oYXh4oVVvDfc85W7efPP/+/MZhGt4RKtTCLRGFs8hQby5JhCY4I+T8vAjhXjn6eu61Dkejt5v+NDN9laO4HFO+8m0hApBGUR+LzOWTY3t2i0wtRPjZFG8kmg/DiOJgVqXY/NWGNEU0jPsRjnxtdli7OeXfsu5/kvvY1/UlLNP7B+6JrBH61/2dXr9Th+/DhRFHHNNdf8qyoEAYRPOJS/FuMN9w/+CKcGaG3RzQK1UNI42mHlmwPs6gpOOvpThv3X76KeFyzMluxa+muOH3uQ5soxssjQnlvAW0vv4oDNi0NUFKEUKJWBDjsxfABEC1mPWWUiGEJSSJqGIn+AzeXzNLOCuR2WnU+fwvolNk5c5Mzou5TDI0zbObIoC2kMqODY847KGIp6k2rhNJf8WEmZD7H1KOzAbRDiq1gxt7PF2Uc3UYuOvU9/AGGWiSJHNj1EJX1MZfFejV2cAltbTF1TDWHYhaqo2LGnTdoU6FihNAjlx5pISWIikjIhUjFSRkgZmI8ecNKhnAflQOzF+5cg+mtkySNoU6EGx+if+wzNxr/FRposT5ntzDDohaQDXEggqEdnUOkgpDx4h3c+sNdwGFtiTUltDX07j01fQLNziDRvjguhkH7xlPgza+n3eyilMMbQ6/UYDodkSUqn0wlsvyiiqiuWl1fo9npMdTohh1gqPEFHuLyygrOOblmy9/IrieKUs6urnNi9yPyOnZi8McbCeBjf4OI4Js/zUGR6T23MUxzDUkqMMQxHQ0CgoyhAdL3HNBpjcLqiLEucM+Obi6TfH4Bnor2cmGC0Js8DxmcwGARAsnIoNFJpslbKnJLMDvtQG85LiUlTIiGIhIAxNDyKosl5DwahGN1+DqUURTGaEAMgTDgcHqUFQ1Oy2R/SSC2JDnFhUiqkkOAtxllqYynqHtY6pmfmOXN2k7yzk27coj+6gD91gsKUlPkBGlO7qZIGzjsi64iSilzHxEoymrmETZ2Cq9FRzKC7TjoqiFSEkIHNWdYlo2KIKWtaWYe9Oy+hqioaWYs0bhBFEYkkIIksxE4gjOfM2SXiJLAdpfIo6VEyQkVt+iM4dXIJpQXTnQZRFL4PntqVdPIVeqMN+uWAOHoBedSmZS21CSPhqrMTry7hquc9n6J3jN7WBS699t8iZZvtVJD/5tdImEDVi7JgbauHkgGhI0RwuY7fEk8Bn+tx/nOACoX3nDFmEm4gEGMeZiictr+unUUKia0qQITuNwIdaTAWpTUWMGU1iX8UgkkhpKKQEKRQCFNRjDymJehurSMEDAYjRrVFWs/Fs6d54MGH+coXP88le2f4j3/yH7jhOc+nHBUUw5JOM6bZbLG0ssywKEMyldT0RgWNNMX5ghqLIsguamNw1j1BeFAhUcp5qKo6FM0ejDVIBPjtAjHIQSjKyefFORemA9ZONqFqfB3w3pHmGXVtQnd/m4lp6vHjPfWoDLphP2ahWj+GkQuqskRIQWUMWugwZRGSsqx/YO+bHxWD/5Ot7QQR7z2XX375D/t0/slLCNC+weWN/wXjBjxg/gzUCKk881OKIy/cw7CzycbJTZIoZv8NB2geSjHek2SWJBuSqD7nH+1SLldsbK6irGQrrYj3xjilkZEiEgkuSoLfz4PzFUYChDwhbSVeWZLYYaY2kTs22BnPMttsMMgM+65uY+oNNs6fYGm0wXB0gGY1SyY7aBHjpKPyA0q9jDywyu5nWfxURWUl3td4a0O2rPEYV9Oajmi0EzYuGvbOL3L1/h9HasHp3lfoE9JE8BJPjbcOU2lMoRl0a8qiYH5Xk6wl0IlARSHeK2jQQjEYVTq4gFWEEhFCgUTiMHgpkCbFUeKzCmvnKcpnkHKBnAEi9djBMfpLdxLtvQWdxhw8sI97vv0dvvnNu9i7dw/9Xp+8cwW9/jKJ/DbCG6wfIGU57vJtO6sVI3sFdC4jyoI7OYlitA5j2ScXg1YKsjRjdmaGSIXC3XlPVdcsLS9TlCULC/OcPnOGsixp5A2iMRz6yWYe6zz9QZ/1cyt86bOfYceOHfiyJJqaxUQJ0ouACdpOC4MnsmzHKBXGnYZt6LEjFIiD4RDnPf1+H+dcwEOVZYgNhKDLM4ZiNEJIyWhU8HdHNU8tICaSE+/HyCDJKFJsGUtjeQXrHVtxjpMKKz0gA1j8bz3+iX8zOf+6NpRVhegPQrFeVyHuCqirgpX184yykkbaGnfNwo3de09VW6qqQEnJ7h37sALarTnyvIUWP87JR+8kL3v45iytK34c2VwkFh7nEpAW7RR1LPBCMDftwFaApbaWarhFGW+QT2WkeUQUR8TKEZeexC+w0NrHYLNHHMXEUUoURUQyQilBbSV16TDa4wwMe4YsSxFyO5rQ4yVs9SwnT58jiS2thiJJHLGWKBGKG+cslfRobfHch7Hz6OSZ5FpjtMAqgZKWrVHBo8dXec6Nrw6bLgJoOKS6/MuuvNEAIVnf2Jg4Z+V4Q7OdUhL+rYKmVkrGRtvJ+FgKORkXA09sHsYjZh1pnLWTQi/IJ5h8VvV49B50qD5sIpQcF40gKkMtFOdXlom9YXphDydOPEav1yNLMzrtNu3pNp0s58iBPZw8dZyyLmnmDZ73/Gdz7sxZGgu7WVteY7q5k2YjQ8gdGGfod/ucPvkY+xrQzBXCOrxw4+hM8A6MMahxYRp8N2ESZI1BIDDjjPDAyhRPdBJ5QhrmbMAb+XFhFz5jY7wX26BzSVXXSCEYjEboKEJL+USGuHiC2GF8wCaF1wyMsRNvEE7gZZAWtUcF21v673f9qBj8n2x1Oh1+4Rd+4Yd9Gv/s5ZEI4VBkPK31M9TG8b3yU6AMXgsas4qdt+whFfvRWmC1Cx+V2lLEoKVk127L6rURx7+9zvy6QSrD8KWW6LoWUmqQEVonCNkiEmEEUvthGBVLi5AeoQL8VmiPzDx5K+fg1CLNTPOQ6WGlZ+f+Jk5uYYbLDMou3WGCqIIrNMoMrXnF7H5Ja5eAxFJVY2cmFm/BWo8xQfNXG8P0XMJgtWRPdgPX73wdXinqUvDdzX+P1yWCINT2xlP0BYNuAdKxsKdFPgU6GXcFoxDnFwDIAu/DhVnpce6sjJAahJNYr3CE3WfiE3AOm9QU2VFM8T3S6AEMkoar2Fy+k8bM9aD3EMea+cU5jLFcuLDMwvwMXu9mUB5iVH4P52u0dUhZj7WTHmMFw6qFzw4T501inQansBJoPU5cGd9AvA8X5ryRUTVb6CfdZ51zVKZmbX2N8xfO02g0aDabJHEStIRPyg/23mOsRWnBvj27WFpdY+nkiGc/8xkU/R5FXeKtofYxOlBhQldujAjy3mPqGvukwnC7SKzrmo3NzQm/c3F+nlarRT3+/2YMpa5riyd0Bez4cWbC0AuaxLquGQwGkzGxtRZhDNZ7jHWki7sZHL2ch0+eQUWa9Jqr6EZRkDbYECtnraSqqsl5huMEbZt9Uj5vVdWhcBjXuN55vLE4GzSe69Uym/1VVCSJ0xidSHQUcpUbzSn2LT4NV3geP/soU80WzTQlPfh8ogPPQLmSJJmHrIGVcQC8SxuKY6fxIiPxmmYiMe0a40qyZgOZD0nnPY2ZlDRK0Coau7gryqGlXNuiXK1oN+bGms6AD5FagVygN5BIZfGuprYCa0Nx55zGekl3YHjo4UdptuKQOZxKkgQimaBljMfhbYVX4KVh2jiWuvehoqNIP4uXFV4oIp/SMFAMu+MWXQTS4VAobwnjvP/23cFtGVltaqanZ1leWcHa0AVGBCOHUnJiAFJKTUaUkQ68ztJalFSAQ0v1lDHxdpd5WJahKIxjpJL4sYFQaY2yIbqwdj50usdGK2sNcpw6BaCI8CrIOJa6A+KpnQyLPkVZ0Wq1caZmYWaGSCmeed2z+cxn/xMXli9y6rOPk7UiqtKyIHNGlWWmqWlNTXH28dNgDScfOU5R9nEZ3H3vPRzcfQlPf9rBCWVh+/NqrB1/RkKGvRuPwZ0L5Acz1gUHjJEdd1nH3F23nYQTdNDO24D2GW8gt0fPzlq2943GGnxRgg9FIkBt7ZMKzeATsCZoG6VS1FXorOJl4DQimB6OfmDvmR8Vgz9a/6pWuIxKwKFch6dP/yy2cty79Z9w2pGrlDxSqMijZEyiBDUWrzSpqZHe0mk68isEp67UlHVNu5WQHo0wDUskBFoohIxIRE5MGyNCt8aIAiErhHAIsR23FYEKuIJ2lpLliouPbNJXBVoqFnZ3EBKst5iRpRxtEkWK1nRC1rbIBCoHqhJYoUAWYCXOBeefNZ6qhGrkGfVCDFdvOGBYFggh2VhdY/XCCBlZECXWCKqRpyqGIB17Lm2RtDwyilDRWCuo1ThHN4z5Arg5HmcdR8Ftp0ES8lQrIbG+DJFwLkGrGh23KapddMRjRG5ErEGLZfpbD9HI5llaXgFgcXGe6akOCE2xtYlzTQYjhXUDIhFGNQ6PdR5rFd26TTK9k0htawTHLuVxIRiNXcLOOUxdE0URaRITCTHJsQ0Rc45er0ez2SRLM9Kx5u4J3dITWkIlFUoKZmemSNMUZ0IUXxxHbPR72MpikpBwoVyIjXJjVM32MYwJzLvtIq6uDaOiIM8ydiwsUNc1rWaLPM2I2h2sCR04pSIqa6l9eG9rrSnqKqQemBRjtkdO1RNZuuPnq5wJesVyRGN+gfZrX03d7aOiBFLN2vHHqIqSMjUoC6J+ArEDoSNiTOhMhgi8Yjxyt9QBTol1AX1SVKHYydImzltUapjdlTG1OEWapSRJ0DN6I7GDFc5eXEbpCJ3kIT9bxqiog4wETisiJJGIcVrgfYWxEowFVYEOkPM8TVnurpM1HHP7muSdjCTKA+xXAk5ivSHJCzZGJVJqtIzHGzqJkAqURqijXFw7Sr/aIokG1H7EsDCYWmCMojaCxx7fZFTWLMwnxDqwKbWKiKIWWueAw9VDrOmCs5hYkyQXEXYZnSzicWDBKMHivh0850UvDEascedWeoAfnNj/H1vbe6Otbo/7jx3De4fSEue39ZYGaVek65oAACAASURBVAM+aFtHamqDkEECI8fvAytCR8oIS5Ikk4LSS4G3YeSJCHxX5YLeMIpjhJI4QvHnACXYnkuPtYKBwSll6NFJoTl02TPZGkrOXDiJ9Y7llRU2NzbolyVnzpxj5+Iejhw6xfpWDZHCSEGsEio/xFWepXNrnHnkAWQs2NwaogrDww8fAyzfW+kR5dNccdVunGfiqPY+aBfduBAL0YnjsS8e60Of33oz2eQFiU+AqvttSYV7YjpgTdD3IQRm/Jk1Jmy8tA6SlifCG8abO2cBMeHR4oIGUeuAk3I2dC9ra3BW4ITFWI8ZF6s/iPWjYvBH61/pEkF8TItnLvyvmJHi0a3PkCiJ1iC0DkWNUkgMtrYIHLXz6FiBcsgOqFmJbwjq1BJ7tQ1mCB3I8d+e8qzji6nAIx3gJZIaJ1wwFySCJItRmURowshVVninsC2BrRVlUTMYDUClxA5cJDDj8YzwCjfmGloDtvKUI8ewWzPoVejE853HvkhRDhCy5sTKNxnYXrjIE0TLUSxodCQ60cS5QGkZ/sjQDZBaoXRMpFKkjJFeolUaRkIy6IaSPEEiGRVDpLdIG427og4lPVpF1GIGLzKUMAhpUaqmv/k4Q3mIyofR53A4wguFQFIOB5QjQzFqkJc9Eh2c2dIJSixFKRmphAXdRIkYoVy4oYvQYYiUJokT4jiirmsK54lVRBRpYiHwY4G8tZa1tQ2892TJeGSog8NYR9EEC+MZF1YiOJmtjkliT7fssdXr02q2OHf+IsOyQKVx+B3BpJM56S5udxZsyLet6prhcIQSkksPHqDX66GUDMkekSbSirIYsTUsGAnNIw+fZlQYpBBksWCzEjS6wxBBNx6tOfdUZ7QxhlFlKEcj1ocjbC3or1xkVBqElDTThGLokHqIThK0yMELrPUIOS5iraM2hqKqGBYjVrp9XNzkzLFTDEsDStBKM5SFTj1EMUWz2SGfh9ldLVozOWk+LrCFxiHAGorGAHdmQMZCGO/rGFQo/Ld1n5FK0VpihcEbjfRgZAVeYpVC6BgVZWSNBrN7MrLpbMyyTJGRQwoRXOcuxpgI8/+z924/lqXned/vO6619rkOXdXnmekhhzMjDo8iZVGCacvKjRIkuZBDAYIDJL5wLnwZJNcBcpn/ITDgGAiCCDEIW7IEWZFkJY4kSrKG5AzJ6Z6e7ulDnfd5Hb5TLr5V1UP5IkEysRiiX0yheroL1bt37b3W+73v8/we59EqY3OkTHm1SWaFurrC6F+krtes1idgKjabx6w2iqIQBDqePl2zvztEKZA6IWXOF9ZmRjnYI0ZPxxEqNigRURKM9nThMYV6h+QUXiT2bh3w5W98A23L7Of65BJPpCtk1v+n18X+spWA82XNDx4dk4gU1jCbTjk7PwcEWhtm0zHtfEHXtpRFyWQ6pus6mqYlJcF4OiJGjxAwioKD/T226w2brUMIz6AqSSLR+YgUkWFZkJQkZ+VErEgMh2XeQCiN97EHxCtiP42UApIp+NG84OGzjtXxhr2ZoHaeuqu5+/pdlhct4+kuXTQ8uP8Rm9U5ShueHB3lJmu8prRTJpPEar1GppqLs3O6ABJD2ypEWfIH/9v3+cy3voYWgSg8MeaGMHoBMjeJlwGeIXii7GUVKscr+hTyGp2QM7k7hxB5w5Kn7JGoct45AApCry8MMU8fk8xBBIS8So4iT+4LbfIksL9OC5lwwSN1ztcOIhHJfMYENKGjje7TIsu8bAZf1v9fS/T/SbQY8/VX/jN2maKbd0GJ3OwUY6S1KO9xaZMZU7IjSFBS9Sc9nbNNoyAgkP2YP8YOJ2oikYgnpIaYshA4NwN9U0AgxozCMUZjtaQcC7repCFFdiWnJIgRYkhYK2kazXbT4jpDUWmkzs0qIpGi7CPFPK4VrC88m0VDNSyREi62R7z77J+jbODeW9coxjcRIiBk6G9AEt/C4nyD0hItBErkxkpKhZIKLQu0mmCokCi0rIC8PhUyXRkDhFDIJJGp6zNnBVHkVRNesA6RzaqhaQXOJ2L3lwgVONj9MtKVPD96xmg4QCJonefmnXcYqHssT/6C+cUPqFfP8NsnuM7Tdp5yT3AoQIgIaBDxCtuCyHnGWukrnIu81C1JQOb1lgs1Z+fnTCfjXgf5Qm+o+/WW7iMcnXP9akahwuWfa5bLJdPxBCUF54s5qrDIS+G4ilfrMniBrfHe07Ytm23NxWLBwd4eg6ri9OSEoizzRFblFf3zxYbvP1txEXRuzqUiIkibgEhT2nmLseucShIGGG+uEEV5Kuppmi1Hiy3vH61Z40AbkDpPKFY10WmWrsGYZX7cobwypkC/TneeZrvmaLHm/jzQyA6URgoFBJiviSFwWHleLUeUA8O12yXja0MG1Qjbp81ImdM0Ugi0naNrIyNZoIVEIRBZhIqQMk/cSklRaEDTNI6QfI+s6fO8hUILhZH5AFAVgxzvZTS6z3kWKeHjVVjKlRkqpcvbWkCIgNVPGOuOmPbowjWkvk6z/RFtesRy/TEhBTYd7EmuyKb9jxpEb5oQOREpCUkU5Pcbihi7vAKUkp0b1/nCz/0c0tirhu/qHi1ePMJ/NyWAyKrueHK6JpGbLnU8zwcsBCkFHh2dYa3pjSQ18flp/37ReXK3WAOJoixIcc79p6cgJKo/aGuRMDofCLTVVN5juw6tBZNJxajQmZrQgRQdgx7h04WAaxylVswGkr/83ruspwXOKbq2w/vAeFBitODmnX20WjIcj0EN2TY1s0lJoQuePNsyqkqCi0hVcLZYUG8bYvB437HdrBFRkcQQoxt29nZ4/PyMgdHs7Q2QRuJioPU+X3O0IqSE6BxaCbxUtFKSnAefEIUmSoFMikiki4YkBCokoos4BFFphJcYIWl9h1cCERXSR4SWRJkh9PiINgrnPTJEAoIUAkIKvBBIMnAobwQSUmtCmyfgxIiKFrFXfmrD5pfN4Mv6KSiBYcrbr3yL1fEubf3H2fmpNaoYImjwbosQCZlMjhYyFlqR4cwxT/lS6NM6gsOJOjvmhMntYMrOtBCydirGPBEK0eMdDFJeLymlsFZCkZAakAEhNCJmDUn0AqlEPmkmqFeB0HVoI/IuJQlS9EQfaRvYrBxt7SjLimJgQHhMladdQitacUa3EZhCMRxZitKQCLQy9QL53LddiY9FvjFLYdBUGCZ5goLOj69PK2mbJjPCfNYvJjw+ZQd0CoLUPGV9+n224ZRCBSprGRaWwAWu/UOaJ/+GyehnmR5+hU0zQGnDrbsHDGcFyR2iR7cYHn6D89OHPL7/bUbyfXanllDkxxHoIJrcqPdxfiEGWtfhe22Pj4H1NoPOB5MxShl8CMyXi7yCvVwJ95iHS8dsURSUVfUiCaZPBxGf+Jquyz/r2WzKk6fP8+qLKTFFrDY/1gxeao6c89T1lvOLc0Jw3L59C6VUdheq/DiEECSp+O7JiqUcocoK3es3k5D5kBECK1fzo/mWEDfsDFxmusHV3+m953TT8GAeWNsdlLGgTHaN9usm5ToWvub9s5Z7ccW0bP+tJtY5z/Gq4fEKumIXZcurplMkBanDBc9zv8WuIztVxXg8pKpKrC2wxmB0nt5CdqinMCd5EEV+4QkhrxAdlwYGrSVlpa8eg7xqlkRmF4r+YJIUImlsz3ZUPXNRK5UbHBcRKWGMIiZHJLPh8v4vkgJU5UPw74L4JWTcRaoZSn8eNfgsXv45F0f/hhglXQyEUNBv6UjRE9yaZgMQib7pIfGBkLIGkzjAh8T04DpvfeUrSGPJq4N/R/vg/4uKIRMLLt27PiaECBkFIwVFYfPhMWQdW4wJY2TWN4oMhU4xEYSjsIYugJCJtq0xViNtSdKCoANJRCpbMNodMBpVxJCYr7YY0/UJOBWkyHy7JSYYDQaMrKVeXPCD7/6Ai3KFHh2wOn7OweQmVuuMnw8eKTyzyZjgA50XbDcdycJyuQJh2YYFZWWo1y1Nvc2M1BSRyuC7DqM9Mrb8qz/4fX77n3/EjRvX+S/+828xmw4QViAHhrbb4psGIcEUGpfi1fU+afAyZK1v8P2B1OXXGNCIAEWeDgoBwSba5Ei6nw6niCwEzneZW2gFQsYsk7B5fZ9NKP17U2UNISkhC0UU/ZTQKLqYUEKhAGXlp/Zae9kMvqyfgsqeyiQGjA5/GXleUC//FXVzQTzfQIhI2SJEJJBXAWNbIS7IUGafkCGigiC6SB7sN0TpcH2QfEye0OfzZmPHZboHxK1g345zeoGEeuUohhZlA8iyx9GQsztVzPdNkVNNUowsTjtcQz+NEX0Gb4dzjsm0Yv9ahY91nqaU2UkpZK+RExY8+A4Wpx6pOnb2Cqx+AZi4dI+m9MIJB5GUHFFkxybJ59M0HkHstSiSkEIP95WE6CF4utV7nDz4x0zEI4qhojQGIxOiX4PFoPFuxar+PVr3mM98/u8zmH6OkCRETxQBlyNemKUSLTqmfotO5zy72OLbBh8SyUPSId98g7/im11+Dt7TdY5nT5/hu457916n6Tq6ts1eQflCR3hZlw2fucRlCHHVHH3y8yUWpigKtDGcnZ3RdR3T2ZiBLXvt4YtmsHWepmlZzOe0ruWddz7P7u4OdS/w/vGZkKQVJaaqUNog1GX8G4gU8o1BDWi6xPl2zVALip7TBrkRbNqOs1VHo8ZoO8QokFLn8wQCLyRSRbwfse4k882WgRI/ppcMIdB0LSdbR21mGGP7BlpkTVi0CCTKO1qjcOsBKSmMrrAmN4JXk0Flsgsz5htTivFKQ3X5+eoZiILgwXV9kx+AmDl3l87mS0E+XD7mPNHUKjMiy6IgRE9LzmIejCzHcU2IjphqUtSEACIkRkVEF49Z1n9BaX8JKSsEkvlS8YUv/ho7+19i8+e/Rds+o+mg9BHjE042hLTA+xpBJIWW4B3BRzoXqFuJLm4w3j/gzS99BWnt5cLir79SunoggpSlFZ1DCHAuIqRA6Xx42mybjIYJgcKa3kWbTSGu60gJtMupLMLm9b5zOWXGDAU7hyPGO2Os0oQ6cHFxTtMUTMcjdnampBDpGsd2WTMcDBgMK7QxqOQRsYHQsl6vmC9O+OzhLZ4un5PiIc+eHzMYjfj4w2c0jednPhNZn77L7gj2Rgd8+OEjRuMMo2+bOYvtNqNjttusNU4ZExOCJ4UNIXQ0dKQkOZ8vcQK8THR1jVYaIzWykr0ON6fJaGXwAoTz6Jg3N/Qoq5T6a0wKaCXpokdahb800Yh8zRT96jkmKIqKLmQTl1AS5zOtIRC5zPk2Rud1dAJ6wLdIZI1if81xPdPzUt/4adTLZvBl/RTU5WInEagY7PwyyzV89P5vIOQagSAlgZQwGOUb2EANMLWlW7f4QmbnsUhAIMeTRpJwmfOU+qleyIaO4BLRJbouEWqJXglu3trNgukkqDeOzkb2r08QyoLwXGWpCo8m9E41sF5ii5LT5xekkEXeutCMZpZrBxNiEqxXLePhhKISaCuyuUOR11YpX4yUB9UZ2sbx/GjDdDQlRdVPOfKKOjMIgeAJosHrFUm6rBkM1zJLK3mIAqGyoDmknEPrY8zsw+1Tnt//n5jJh0xKgSoEVuf1rVcSmQIiRJyWYDvM5j2ev/8/8OZX/iGxuk0MikAgihaDIVQFevwK7eoelTrF6GPa9VPseB+nPSII8ApP1vZcuh8v4+WM0QwGFWdnZ2htOTg8/IQTN/STxXT1ceUE5seNH58Ez17+/mK1YrVaI6Xk4OCArms4OzllZSxFYVE9sDevh7O7eDQasV/tc/36DUSv4cyHifiiEY+eexN45gWNrXJ0V88TC1EjU0SnFYc6cXtnn8GgoDD2x9a7I++phjXFvOM4JpIZ5mZJRFLKsoUghoxYcb1K3J7tMSyLKwMO5OeyHA7R1ZaPl45TKpIuMvZD5McboiYIw8yvuF5FYmt6DmW/etcqA7xtjuGKzmELAzJPcuPVRyTGHG+nhER0mcsHgtilqwkMMTf/KQVC8oTkcpSaSP1UOzezRVHgvaRrXdY27pQ0YUvlIlYHnAj4uKXdnlGNVgxHkU37ACN/lqRHpKQZdAUffbTkV371H/LmV3+VRz/6No/f/+8pW4eSmkRExwapuiwfiZ7OC9oWNo1h2d7i7be+wRtf+tnc0F81gj8B7eAlIJWEaxp814LI697hoKRpW1zXURYFKXiUMRRlBok717HatBRlSTUo8wRQKDb1hk1YUc1K7n7mNuPJiGFVsjhbc/Z4jvcde/tTpvtDhoMBXeM5Ojunqx2z6ZSd2YBJNcS7wGZVI5xjNBvjXcNidcGyTdy7c5ujj9+nbZbU9RqrDW4dWS7XbJenlGnDL3zlNb75C1/nH/2j3+B0ueKX/72/yfs/eMi//L0/oRiWbOZzVi6hpEak2N8ZIm+//ToPPnyfzSqhpcInR9IVRls2FxvazYbhsEIODLWMEAXtaoNvHcW4IlhFFx34gK9bBAllDV4k2tShItguYBIEGUHLnHSSEioJVMgDhCTJ2c4pv95TTCQpETH/vNquzTzDS+GDVPjOYZQmBodEIpLIEindJ7t8CvWyGXxZPx0lMnE/D88lB3f+DmVpOf74txBc5Bt8K6nXLQtfIykxXcH8Yo2tdF7dipAvnykh1SWH7wVeI0aumkHXeLo20szhWhqzUw3xLrKtt5RlyXy1YTyWTPcq6JWHIXQEsm44RzhFtBWUo8i9N3cY75R5aiizZm69aFgtO4aTIWWVMEU2vwgl+hVwgggg0T4SFBilMUKynK9paoetNNZLYsiZtlHGfKESeV0hRYdAYl1D5TqEdEQJIlzqimLmFiZH7DqOH/0+ur1POZaogcAohVUgVdZ3iRRJvdEEqaCAbvN9nj78fe5+4ddxMqc5KAJJCbRq0cWMsHkdI37I7njLe8+/h915nVZrkgEwiJRxJ5eNDGTsg5SSsixRwLNnz/J6kR7/0nZXK+BLbIrvp3/OOVL/dX/14xJgHVJiOBwxGAyZTiZUZQ6332y2bLbbq0nLcDDk+vUbVGVJDJFNveGjDz/k7u07PcdNEvqmM+fpBl7ZHRGWgVPhibpCS0lvRUK4LbPguDOpGI9KbFnm1fRlM5hyUkJmK0riwrGQEaHt1YRORod1NXvWc2c6YDocYAv7Y4zFGGM21kiBEC1x1bHWQ5IuMOSpifCRIq25UXr2ihEni4A2+WAlRWbHaZ1B1iEEmhQYjCqUFbiuJQRHiD5PdqXAd55mu8hierKhpDAWLfNN7bJpDNHjoiNJj7L0zTS96zxQ13X+upSnI+XQoCto3RbjYFuf0LoWY/LPyBoozYI2PEGoLyCiR2vP4mLJ/KJm9/Aeb4z/HmcnP2J+/ntAIAXZUwny6y1EgfOBupacLCyvvflrvPHlX0RITRJkzW+SvW73r78lvHLLCpWxLyJlB6qv0UphC5vByiIjU6zO1ztbFFTVCOcdjWuRJeiJ4I2feZXJzhiA1XzJ0eMjvIsUheL2nevMdq6jpGJ5sWZ+ckZwjtlswq2b+UADkvWmJnQRhGQyHDAYVWxOFUJoFFtGpaKQFa+/cptJmfin/+x3mF/UCKv43d/9A25f26OoND94/30+fnpO5z2/81u/w8V8w3J5wUjsMJtNaGuP84Guafpkk8iNW9e4f/8vkOTrphESo6DxHWZWsvQNZ0en7E1HjHYH1MrDjsHNA8vjY8aDEqElVBo5Lug2DWlTYwQIA6FQdCm7yl3bYKKi6KU5UYl8DfXZPKK0Bu9JArTJBihiQCiVmYNSZOlEBO86SAnvO4Sk1xEHUvCErv3UXi8vm8GX9dNTn1jRSCw7B7+IsSWL579JjGdEEzFFyWYjOJ5vWDdbfCvZ2kBUEBBUEZKWCC2gbwZFzLFsMUSST7gOmjrRzYFniruHBzSt4/x8Qyc6zB2JaTXnp0v29m6jlCTS4diQyDpDEft1pRAom6gXmUmVREf0GZK7nLcMRyXlIGLKPBXU+jIvtP/HpuygzU7N2IvpBSGCbxNd4ylKhfKxb3jpG9yAjBFBBwJkt8kTM9nlmDopAA0pEJIjdC1u+ZDF0Z+wU3TZDCEVWgu0thg96HNXPTFsQeTIp2Ai1gbOn/whr7/zH4HcI6oOGUFKh9ACKw0reZMgRoyrLTR/yfL4TbR6B6REWkjRINUlk0sAmcEHOelAREPlE0fHx5SVJpDYbGvGQ4fRuWl0n0DBCPkC8BqC7zEr2Qncti13795lMBhwcZ4PEmVhKazFGsPObPZCe9cbiULMLMDWOYpoWa/XnF9cMByOUNrQtA5rPdp7EDCczbgRGty2ZWN3KLVCCjDBEddzrleCwbCgKns3tHmhUwwh5KgvIRlHOHRbQudwdoI1GpEEXZAMuxMOhzCsKooiT3gu0TpwmZSQtX7TCIfdmpQcwYwptMKliBMdU1dzODSo1iB1g1CRlCSkmCfoCaIPV9DeYTFgvDNg+WRF6Udo3eKDp17UhOh6pNGLWMFLUK81lmE5JSWPcx1tVyMHjiDCFbYH5+gS+M73zU0gBkdMib27I569d0IME0ozZFSNMEXA6gIhJFo62m6NUgklZJ6uh8jF6XP2Dvewdpef/Zv/JX/2R5bTo99mUnqsUWiZSAJcgKYVnK1GvPb5/5Qv/vy3EOoyk/vHL0B/LY1goncsp4x8SRkxY4zCWEOMoc+NdmBKgm/RRlINSqIPNM5B2+FTYjQdMLlRcu32DfYOdvAusjhbcf+9j/BtSzWsmO3OuHH3oKcgCJ48Oca32dQ3G1fcvnOTstRooVivGzQlOglKoxmMSkqriamjbhs2dcNmnWhWx8yGMNENf/7RA4ajAetNy7gQ3L6+TzUaYKxgvampGw8KlnVN6/ttQGi5ceOQ4ANn5xvOj86xNq9ZD6/NcC7ko3kMtBuHbAWl1qyDZzgrkUZw/PyCum4YTUr0QGMGEjmYsV016NpTtAFVCYzRuEIQfYdoHXItCURUqZBa0IpIiBETI0Yq8AmjVL72yJygFCPELkf3pf73Ox+wvdg7kfAEhMqkh7rtsCKbH5XKWsJPq142gy/rp6TEj/06uwELRtOfw5oJ8+e/QVLHSOkhKSZhwGhSsLioSU8FnYC0J4gD0DZgQhb8I3rJXwpZZO0EvklsVoHlccdOO8NiOL+oKSvNeDxAGbBJsVl52q1gNtnBsSJIj4htjrWjZ3opjxaBtKlYv79P+copnXCs51uMNthCoy1oLdEmmxuUyif9K+1cf5L0AhQJlSQ2BKqRZLMIuBq0jXh16SLJOBcZep1cEuA6dOeoCCjlSUqjkkP4BZv599mcfZ9uex8rn9IFz2qdn4/ZZIgwY7SdoM2I6Dt8l129SoJWDqtg3ZywXR9RTvbIaDKFSIPMbJQdUY7wYkiRSm7urHjw9Lex1Ygk7xJSRRUGSO1AaqRIyORIfk3yFxgpQWm08WybmlRIKlvkfOBxjbWWq/CHlIg95yz/bz5lu74RbNoGgP29/Ryb5xxlWWbzQv9htEZp3ZsYwDtHu2lYr9dsmzqvnr3n/PycFBO2KFicnGCLnHObgIk2jGxg0HVELRhW2W28XV7gXcdwZ4g1Ok96+2bQmGwiuTS+pARWa8alpvQBbTXDagDAeuupZGJos8ZU98kr1tqrZAjn8po2hEBpDeNSc954UqEZViVdiNRrx1AnqsLQdQE9iHhaVDKEmHNnW+cyKD1lgTwqsndrwvHTD6m7iug9JDDFgEE1Qit7ZVK5zJj2IWcan86PKAqDC5Ftt2B6LT9OvSloz1u2yxVdnTlt2kjKoWY41ehSsLNbcWq2FKakKoaUpkSZnoWXYgZHk7KWjEhKGiGgads+oSUxnN7h69/8r/jgu6/w3nf+CUYuUEYhY6RuLRebA77+t/4B73ztPwYhczrLT1Sk54vWNImc37xYrIHIdDrBaEU1sBRFSb1scF1gvl3hRcd0f8JrN/d45ZWbmJHFq8TxyYL3/+w+6+WKorIc3j7gxu1X0UZBhPPTc5YXW3QylIXh4NqUa4czTGHpWrg43SKCxCjLdAKTSUVV2OxUjhEZBZvNFmNK5osjpLT4GHn//kNWqw1f+Mwb/MHHf8jrn/scojScnF7w2u2bfO6de8xmTzg+vUBqjUxbrh9MuH3nNloLBoMhTx4/Yn+3YHdvF6VHbOua7aZBq4KQBBebDcO5ZTqyKBVRWdjN7is7HD084/j+gju395HWI4cFYWCIpWNVd4TzjhKJHlrSyNJZRRc8skukrUP7SGU1QWu8AZ8iXoJzLQNhsudDakLRswX7xBMTFEMh0VLT+I4oJdIaXNdhEgy0zpgaDciEj92nNoZ+2Qy+rJ/aSiIjQ8zgLfbufIvl8/+FlJ5QALMu8Npsj4tVTbEe4B863Loj7gvEOFDorG1KKieCxCCJXuDqRLP0LM631NtEVS2Yt0te3d1lPLHISmI0qCjREpbnS3Ynh4gMzABE1nuIS0WPQCaLwWKevcY2Orbjp4QAw/0iN4JGoIxC925lpS1KWRCZ5SWCJ4YOlfJkRsXUp0MYtstAvWpzGLzoI5f6Da6U8QrHEeuGtJpnbIrOaA+xecj5s9+E7n3GtmVYelRlSAzwQeBdx9HRnN29gls3p4zHB7TNmm104LYI0eX4QJFQcsty+Zxy/Nne7Zkdyln+nBBhyXrjWLXniBi5Pf0Yv/g2bfibhPFncVWDVSVC95PN7UfMn/4LJtUblMXbBKWRWqCUwLvA3myXx8+ecHp+hpYKYpXd333kluhDR690hN5R1zWL+Zy7d+9SWsv5dkOI8cdA1ZcNobWWsirZ1jXPPj5is1nnVbkxWGOhzN/3Yj7Hx8imrmGeX5dFjEglKbSglJEGj7WZgbj2DYXw/So2T19Fr8urqgopJdvttncwR7SSVBIs2f1ZFBaIbNcOKxL2MuNYyatmsKqqnKm83V5NGZXstZ/JI2WiLDV0CY+nkBGjtZgV8gAAIABJREFUFJ106JHAu4juoOsizbIm+A0qSZQx6CJPcg8Or/Fg+CHb5QZbjhkOKwozwWrbTzhlljnQQ8JjxBhH5wSb7YZtu2G+PEMMC8yjJe18Do3FyiFKGkTSNCkxTw7HAl0lpILKTBkUY0o7yJxR4wCN84LGSaTcz5rV5EkpT5cLW16+CgGFHR7y6pu/wu/9zj8mbFckpZBR4uQB//6v/je88cWfJ6Ws20ri8j30k1OfxOIgBYOhxdiCohzgvONitSYs5phSMN0bcu/Vu9y+c8iosvg28OzRMe2HW24dXGfx6IhyNubOGzfYv7ZL5wMxwJOPTlmcrhApMZkMuHF7h8ObB8QUaH3g4mLBalFjpGFUVezvTpjOBmgpSUIQk8A3HaOqQCtNilDayMMPHzLdnbFezBkNJnzwwQ95/bVbfO4zr/EX33uX9cWGp+KYs/NjqqLitbs3ODpZIirJa6/e4vxiwXQ84ZVX7/Lggw/5yuff4uHHT/ju9x/w0cf3cZ3DlhUgsJVlVbeE1rGzX+FVh9IC5xoO7u7z5OER33vvR9y7cwPjPGpkiEZh9QBfaJ4/OYWHW27u7THeqXAjwyp6ulJnXXbboTYJoTXSSIrKUBvJedNQSUP0nlE0pAQt2VDi86uTtvUoBCp4YhupehSWT5HWdwQSShn0p3gQedkMvqyf4up1FyiUeYPpjV/n/PlvoJYfYO2afT3hQN1g6zuqZGieCdpVh50pyqGlMAVJSEJKbEKNWze4VWLTeJoI5Ujx2uuHTNoxVWkoTH7TX+JclE5sNme08YAoamLsENHnZiizKxBBEgikqJmIfVYnBaOdKafih9koovP3yilSCqUMRlVoNUQJTUyOTmzxQEwBGQNK5aZIm4zwWJy2CGEZEIgDT4q6bwbJuBMSYn1Kc/oeydwAO0b652yP/mcm+pjRMGTMgyaL/xMEIiFouk5yfn6GlmPKckqIjpR83+jFrDkESC9i1rIu7NJU0RA2H9Ke/TbKPaQoE8OxYawkKT6iC99mPX+TevM2dXkNoSt0+zHt2bcZ2+dU5hYvfNO5ye6cY2c25ej0hO225uT0FD+bMBoOKUw2fohLJ3DI2bdN07BYzBlUA+7eudvrBtfZlfwJx/FlTJTuT+gPHjzAdR3D4RCtdR/flSvGSBECTdswm445v1gQI4zH414gntuP4B3b7RaUotlsKFL4xLDpRatxyQgUf+UGIERCpIDrOlbrdYYAt3U281w9N7kuG9orJzX9i1XIrKXyjrZtSCvwXuJdl9eAJCKRpluxmRvOH3c084CvFSSFQpBEQprIYKaZ7lv2Jtdp3ZBBOaUsNFYXGGXymrjHzSTS1XRQSVCMoFQ4VzMd7MBGUT/TDPWUohigpSEpgRSR1EO0faxotms27ZbJcITVFVrbPgO31/p1gabbYVDcpr1MiYmOQGLv2rVPbHjzqm9+fISra4iKFAV2/Aq/+vf+O27c+VqfmBH7w9hPdgkBSmk8HU27Zf/6jHs3X6MaFuwe7tN2jvVqzaOPnvLKbJ/vv/8Bcjhk93AHNTb80t/+Ko/qBavW8eTRMU8fHxFaT1WW7O7tceOVA8bTAqMSi82c9dKzPt9SKUs5MOzsVuzsTKgGBh8zmzG4rHdTKeKCY7Fa49qGOzf3ePTBe9z57C1EijRty2ffeo2Pf/AeD//yO7x971WG5Zr/48/exQfP177yRbo28sEH97m2f43FEj740Ue8/fYb/Omf/glKlXRdYL3astk0rLYXDIqCmDHQjIoCbTRn8yXiDIZTqJTAS0Gb1tx4fZdyZPnRgyPGRnLz9i5mYgk6J8lMDqaEwxkn5yvGxy2DtWVQKTqd6IzAqYwl2x6vGBuDHWqq2YiVAZ8AqzlvHdIHqgi6CahS00pBsplvmUhIH/BdR3CBzkVKo+m1PIQrver/+3rZDL6sn9rqMyYgqZwDoG+zd/PXOU3/lNr9McoGdvVdWjUkxVN27CmjQrI3KBgPSgqlESRcCKxFy1nccLTeUHeBaqi5uz9hvG3ZKRXGWrQ2KJ1xA7mBSLR+Re1PECIQQmYVXmlFQrpaPytXYtWYYTdmZArm8j5Spf4+rXKDKQRCKbSqMGKKEgVJ5NzbKANS5CSUS5abkDFnEWvL2dGGGEvKThKrhDLk70/mqanuQ2bqY5rlbRb1FOE+ZG/wnOEgMrBgVI8PUZfIg5x5q6QkETk6+QhrJcOhIbgVMbq+6ZO4EHG+ROkhzkX8Fc8xEBYPOX/0TxjKx0xHKesiJUQNIkaG4Zxh+tesu3e5OL/FutllkD7koHrMoLSILMUhERApu6tb36CkpRpUxFVmJh4dN2zGY4bV8N9y1DZNw3abMTJ3X7lLWZZsNhvW9SZHQ13heLjSGTZNw/0PH0BKDAfDDET+K7nHIQZ0P4nMf5/k7PyczXbLmzHkJiUk6hTpaEBItp2j9J7kAz5BSDHfDJSnrjOm5oUDOsfu+ZDoYqJ2jjZtSYBrW9rgcSlSpEiK2a17mZN86YK+xFOECCFGGufoWkfbJzOkEDNvLQWaTeD5gy3t0YZSTCj1mMoMMOrFOy6ERHfueHy0ZNtYptWUyhZYZXOihzZI0Te1EjIMO3ziecvMtfFwCkhKO2JoR1iTXZ9SSoTq5bJJkmLAR0nbbil0gdEWrQxK6j5eUeA9rGtLSm/TpRLnE95H2i4wmc2Y7exymTuRFW+Jtl5k05LQ7N38Ev/ht/5bZtfeyBP+FMkur/QTNhP8qxXxdOy8NuLWqzfBRAbDPCFfHi9470/fp1k7los1g8ryzu3P8tbX38KbQDGuSF1gsWl59zv3Wcw3aKGZ7I747Jc/w2haEghIFTk+PqVde1bnW2QSGCM5uHeT/Ws7BN/1B0eB6/JaU/eOcGMLZFGiR3uU4ymjoWB58Qzh9uhWa0al4tbumIM3P8fybI4EHj95hAuRyWyfd9/9ITcO/wZEwXvfe8A3/87PcnGx4bvf/SE3blzj/ffvI6PnfL4gxYi4TALpp6bKaobTkpXb8Ox8zs04Rg8FtlRIo2hbz2i/4rXpKzz96IhHH51xbVhR7FfoSYGoCuqupTqc0tQtbuOwi45BYRhXJRSG580JeqfCFiUDYzg7n2OKAtHnksuqgqGk9o4YHMJ5ZExYITMlQkuChGgMdlBC7Wi2DUZAu91C9zKB5GW9rP8blW8uSQQSEhEBucPe7b9LYsR8/r9iixnjvS8h3Adc3wkc7luGFRh7OYWJhJiYuiH7xZCdqqM6uUYd7qGfFaidP6GoEkaSdSd9tmfGpAlCdLTdBikzry9Ej+8zh72HziVcbRm6GUoWNJsLFo8fI271kwdxqQF6casSaJQo0AyIKCQrFIrQR+UBWTAkFMiW8Y5CiMjJQ89oVDE4cJgqTwajSEiRDQTX9JbabFmctkyKxLBQlNqiNVcraq00JEOMHikCSTiKlBufp88+5NbNfQR11g6GROehCeDSmKraxfmIC77X451z8uDbjNNjhmWitDk5RiuQKJJKBJ1QIWHSkjI2nIb3MIXHVgajDV4oQqDnQAacDyzX68yA9I5r+/tMJxNa17JarZjP573hJjtxtVGMhgMODl5BSsnZ2RlVWTCoRj2w98U0M4SAUgrnHOfHx5kDORpTFMWVwUP13zeRkDHf9ETK+cvj8QipFNZkllvjHNsu0aoIIbtefRTMN1u6zmO8x3nfayzFFVYn+IAPDuddjqVzkW0XaURAhIaEIvnIqqnpXIVznigVrs+BDb7Pm/WXxpmI8462c2yallBmpE8iIHxgGwOd69BywFRfZ6L2qcwQrS1Sa5RMCFTW5aWEiR2r9QmFrLDaolVOHVFKI5S+0rxKIXoepCT4iEgKqTzaaEwYYE2H1pqyKPMKWimU0P2ksscqyYCIGVxtiwItL0HjublUWrOpoe7uYQefp3UO5zq61tH5li9/4RvZ2dmLNuixHdVozO6NMffu/Txf/Vv/NeXwdn5PZUgUUeRoQvFpjWU+tUo/9uvPf/4tvnnxVaIMaGXpasfx0zO+dPcdbn15j3q55tnxMyaHuxTDivMnDXprOXm2ZLFa8TPX72BWiV94/bOUoxI50uwf7rCYZ7C4VInjjxdsVgEiyFJx8+4Buwdj2m6LSgrfRtZtTfSKiS0heZJWqGrAo2fnfHy64fhiRVsHXr39Kk8ePadQilvXdihCxw8fPiZIqM/m7O7ucbZqGY0rmrgh+YZ6vUaRuDg5pdlssVpwcT4neM+2belch5KJ27dusVqt2d2/wWhcUofIyAr2rk34aNnwg6fHHEwGHF4bMWcLpcxr767h5mvXWS9q7v/gI2Zry/7uFDHRlJUGJZBGofZLuqYldAlzsmKvHDGNCrlb0aRAJFCMR2xEoLMa0ybkpqFMFYSAGQ9pfUuIniZA7BwmJeI2N9DVwAASWVqCAmtLTGU+tdffy2bwZf2Ul0Cg8vtFAigEE67d+Q9waY/nJ+8yk1BOjznc04xHktLKPmIrN1QxJYIjc+yMQ4qOs4XFp5sUWpBk/ATXSxKigBgJ+QhKdDVRXKZoxBewaifwrUSsYBReQ0VDcJ6mqfP0ISViMoie35u4DFeIBGrgMp0jZ17GKwVef0uIGWztHUxGQ7bfndH+cEz32mPK19fMJgXlQGMLQSUD+szw9HRD6BzlpMKYhNIZg6CUoTADlB4RZSB2NUJmx3DUgagFZ01gvVxjq0DwQ9Z+Rs2E1pSI8R2WK0VqsyA/+cD69F1S+13KMRRGYJVEaJOnkNJkx3PyCOlJKFRqkdIzukyjMAGXPNH3BoTocaFjUAyZHoxYLFcU1jIZDimKXdStO4TkLjf0GKVRRiNVJDroXEuM8PHTj3nl1j20MSxXS5z3+BBQIaezOOeZz+dUVZVXw0qhZDZ7aC0RPcpCRtc7O/OqV8mEFInxeIx3LeeNZ9EJvHZEFcl3U8H5tuN8W1OWJqN4RMbJSNW/jkPERUfrcobsYutYB0HrXV7XSoFMhqOt42BTUxpLKxVaipy2IwMigY8B7wOda3HtmtPllmUssD4bnJKIxOQ520ZmlaMQgmk1pSwGaF1glO3/7ZD6mJuU8iS2blpm4xlK9VBtJVAKtFK52evfXymBcx5BIOFQUaFFQMt88Ijeo7VBK42WGiVNlkwIRUwZ0yRczm4tRH6upaDPJ87r6/P2FTC7JF/ivKf1Ddum49arr/P6W2+RrkYrl4epxHTnVb74N/4+73z51xB6p2/6Lg9kORnjx/AFPwn1CWlBPvkqNssl7emGpuuoqiF1veZwZ8Th4YS/+O73GYwH+ELSnK/4zm/+IdtNw+HN6yybmkllefveXWaFQVWaZdOx2NS4J3OMlGgk16ope3cHlEKhrUEOFEEEmouawWiA9Ilnj54jyjHH50veuHuTxfKM0hhOfUSMr7GoO8rBgJ95+xa/9Zv/mlooPveZOwx3Z4wnM9TOPgezIa9MBvyPv//HlKWmKjW7g0MGpmRbN7zx6l1M0pRW02wddREwheb4+KI3rAjG5RjXdXiRWNcN93/4GNfu5/d3hBrFw5M1de3Z3yuxSrLRAm9LurZlZ3+MHbzBg+8+4OiDI65PhuweztA7FlVofEi0PlEvV7x18xZqvmXkFeuPltTeMReCtnPo3QHF7oh5aJhNRqzbFhMk8XiLIhJEhx4XdEayDRFRWNqQWG42lChMTAg8dmgoLgcALyeDL+tl/T+pRBSWG3d/ia8Xb/Dn3/ln7FeKwWAfZTShn75drnozdD6hVaLQHZNxZNudE8J1op/R+BbjbW7mgiU0M2LjSMstymxoFxlpIkUGDquQtVmx9eiVptzssRvGiHSGFAsMK0TrKWqJTQZZTgheEhoBZkDSFq9AypyV7EOBC4ngczPpO49vOmTbUNRb3CYQW0m5LFGdotJjqmLAsNJIa9BSIWVk3nY8PHnMjWsJXQa0tHklHC2qsCg7oCwnObAdybw11CbgZIcLllR6LrxEpx08t9Dj1xkUM0aqIknFtntGqFuSjxRKsjn+IyYmgJbEYoYzJVqXBFshRJlNJr4m+JqEw7uWYLa0ZYGlRiaB94J2Ay4Y2o2nUjMObt7g7OwMt2kYFVNEKsFnB3ClBgSTiMOcSCOCx7sMk/UbSWolTZM4PVlS6R3a9TnbUmBQ4DXRaJqmIboKWY4glKRgSMKQhAKlEDFriprac3KyYN3NSdaTZCAWkePtI5wTPG3XrIzCKUsKKU+zSoWbbHiwuo+eXmeSRhSxQHuVUzpkn+7RJEJd02y2nF+cou2Uyq2QPqNFlNJs0imnp0dMzE1aWWJVib7UP6YICJzwNKll5dd8sHoGO3dpdIcIfeqBlpyrC8y24Zq6ji8P0EOHsJZ41Qjnve0lAH3eHdMOTuimLdq2JDUmlppgBaooKa1AFhZpbD4YtTlJxrmA9x3ed3TdBl8uaFvHeKLQFDmv2Kg8XZTZ4R+io21rmsERejiAssXrAqMVShaUhSLGA1Yupwf5HqEy27vG1775t3Eo2tYBoAU9c1EwmN7li1/9ByB0Plz9xK+EP1l9kouAhx8/5l/84f9OMbTce+MeN+/eZukC3zs5Je7vspWatvFcnF9g9w9Y+WM+en7MztjylTc/x9Y55LUdRGFZPztl0dY8efacu7dvc352wYPHpxwczLA6omvJ6tGSg9096sUqMwsRjKoS3855ZadkVHhaEwitY2hKVtHhfWC53HJ0vGHTtsiB5vGTZ5zP5/zw4x2cb7lYr/jqN7/OZ/d2ee9ow1gIvvrWq7z34TNu7O9zdnIKzvHG7UPuPz2lCYFhVRLaSNR5+vz0yWO+8Qtf4/mq4fRswb/83T/CNxu6uqGshrzx1ttgNN95/oy4WfB3/5NfwQ8SnQ//J3tvFmTZddZ7/ta0h7PPkFNVZVXWJJXGskqDLet6lGXovsJ2GK4jIHzBwRAOiI4OCNs8mDZPfuCJFyIgDDgwhGldTNMmwNitbtxA+3qSEe0B25pKUs1ZVTmePPOe11r9sE+WhCd8G3UHDul7qMpzMnOfnfvsfdZ/f99/oCodWxfWwTlEJXBa8+0LW8RXB0TtgKATEHYjpFFIFBd3hoQCJniGw5RyOOXI4cP4QjDZKRhPapJ2m6Gr6C4sMJumSOGpR1Nk5ejWYCLFRDhMYiiLDKEkpZM4BEXuSPsVaVK+ZGeN8PtkmFfqlXoZlfeNQawQnqKccOnC86T5jMFgwrNnr5C0VohbCUFo0EFIYEK0FjinKOuKvJxRlYYynZBOh5iw4MzpkxgT8eWnvkGejSnTLRh+kXJ4DR1Y1lYTlhcCWmFzB6s1KGlQIkC7BO+ypuPjLYWtyDLLVhYQrP4M5y9VDHZ26bQ7hGHc8BPVfGFvCFQ3RplVWZGlYxbMee49sU6gcpwT1FlEYWuGecVWvkp0+D8ig0W8b8azYatFPhvTK5/icPRtknDIlUsDWibm4CFJJwlohYYoiMAs8A9nj5C230Crd5A4amEiidExdvgks3Mf52ivJmkLYt34ESqt8V42PDVbUpYpRZaxNWlRr74HuXgfKIMUElc78jylKFLqqm5MQbzEW0c+u07U/ywH1DW2r72Nyd4b8ASAbEZQNGNrax3W11R1QVUWKGPIekPsTU/Qvm2G7mqUULiqINsOKZ9aJXsiwhATdZaIZGvupajR0sxHjy8WcOyniswzneeRhWVdkhYzKpcTH3b4O84RnUyRiWp4S3aKWevjjccrjVeNrYlAIJwEW0PtwHnq0lJlnnRaUBUVUStGKqguT7lrJ+O2TkIn0pgwRJkILVXjo1bVlFVGmZfsZPC4zJnevEjSCxuKQCSbrqj2KAVCSaxQKBk0qQi+pvYebx2ubuxzplcqrp0d0VtuE/c0QSzQgUJqiVDNaBaYJ47UOGuxmaDMHFrDwmqCTkAECqV1E3+nQpRqeITeNzGItS2p6wxrS3zhKIeC6xfHjXK6LVCxRJl9IQzACwkvrqZJB8or0rHAZpqouAdVnMYEEVorUAIhA7wSOFdC4aiKlAUpeOttp7n7rjPE3RZOVCgC5q/QjML/PdfcZxDm3FYE//CV/53/7Yt/g5eSQ4ePEcU9hAgpy5qqKClzS1FUzCYDhM/p9WKyPCWJBMuLC7hgBS9CtFCUZY1w4IqSssqpqQhaFa3YsL15nVYU0enEFFlGnnuGu1N87lk7dIC94TYnjx+lpaAsai5fXufK+lXOPPAgZ8+t86XPf4VilnLrqeO8/k13Mx5kOO84f/k8r7rnNBuXN7n9UI8j7Zh+LUinQ77+zAX2doc8cM9p/utXn+bMTce5aTnhyvY2Ux9y9tnLoCSVdxReYsuMhx9+K1/5xlNYNEY6bFE0aSS2YnlpibqqiZIWeZbS67QaQVpdkOPIqoqlhR7OOkwrJksLNE06S5ZnSOUJQoVpGxId0w5aPHP+WQ4dWObOW0/x7DPPsLR0kOFkipCS2WhMiSVuJ/QWF5jOMryr0XiqcUaSRGQ2R4SK3kKPuq5YWl4gbGvStCBSAbefvJ3/4T//TzSkhX9bvdIZfKVedtXwh5thqkcQBB2OnzrD2aeeZme7T1Um+HgB79s4FIIYrVokbUVdedysRIkAR4WQFV61GU4KNnamSFEQyRVk1EHIJepKEEw+h53uMtuFrhT4tgNbI5VCqwqvSyryhpNUV6jao0qLSx1KneH6NUX/6oxeskosIwwBCo30c1Uo80xgPBKLkBXWJExTzXA45eTBEUqUFK2C0Foi7zH1Lpubz9E9+ROAQoYtTLeHDCxZeojzs2WWx3/HYLpL+1CjjEY1XTyhFT6IyelQqwWs7OBkjJMaKyXTnXOsxH3aIbS0JArmnDoDwiusraiqvNlPL2kXGdeHzyGS1+J8wGjQJ00bnqWUGkmAxVJZh80s9XTMUjWicBWCAEUbT0iTPVIzD9JDymZUK6RBKENajnCrl1h8XY7u6obnsx/ftlJTZjvU507S9SuEtAhk3HDdhEaiEMgb+dH7Z5Kfc8gEHrwFcowoCbWgKmuKgxdZeG1GmIDW826ca1ElWwhdI1XepA3Mdb/7difWCVwtsIHHG49UFX5UICKJiQSiGrOsDYkuaZmKSHvCMCIIEpwrKeSMmRyjXcVSqVksCnYnfXzSwiAIEU0+rZRNl23Os6tU0wWTpULvlsj+lCoHZRR1LYnWKsxihmiBizzOqOZ3lZuPipsLzDuPtwLfrpG5I00t0/EuB7sdlPYorajmPEIpdeMFiMdKjxMVliYTN7eOy9c3iTsdTCeAuIZQ4VQjQBFzBfk+j8Jb0XDZSkvQ8mRDS7EHiWmDCRtDeSlxc1NmnKZWFqGglyTcctdpWt1kPgEO2B8dC/HvHAjCd4yJPQ7QoSboKoJgESW7tKPD4CTaFVSuJJSOTsdxcHUBbSq8zdnddSRJgokXUGaZVthpTu2WQyuBUpKsTME4JtMBtpjQ6yxhPWyPSvb2UlypScIVFhY7+BBedeo4nXZCArTDiJVDRzh200mKSuFcjQk1WnW5954zvOV1/4G0qPDGcvjpHkePnyCKA7727Sd5820nqMuavemUm04e5Y0P3MPF9U1uvecUBRUHzpzipDtBXXp6bU20sEh/b8rKkRN89fHHyNIJd9xxG8+fu0xZpNS24K0Pv43BdMydd53mC//1C5x51T3s7o2IjELmU265+Qg72ZSnLp/n+MkTpJMxt956B+sXL2KChP5eymSUsbZ8kIOLPaJFgwsrhC84dOcSHolWAa8++iB1IQmvD9DWcvjuLteub7Jw+CAXN9Y5fevNjEZ7FEXKzrUNRDdATAoi61i0iq2tPkKFlJWkdo6d6ZAjC0deMmujV8DgK/Wyqxt9HeHmXDRPbDR33303Xhj2xk/glMNKi973BxQglGm6NvtGzcjmQvSSwBgEik63w25e4+tmgc/at6AO7VLufZHxNEMHDZhy1NQmQHmPdgK8vWGVUdaWWSHZcyew7dez8ewWcaAIgxijw7mBsHpRksOcR2hdk6yAxDtBFi1zce8Ihw7VLAYWaT0GA3FFj4LJ4Al8fg9B5xQ6NMRhSKkgM1CZ+7h+LaUshyBqhNPzzogBNMorpDdNjjGCWnmkEOgqg8nzJC3XiAu0QAYSGXQw4RJSCOpiSF3XpGnJcFKT5hZXPUXOY4zdIUSwSKvTw5hgztuUSF9AJSlbBWX7NsqRZVZ+DS/V3Mi58Q2EJpJQSJBubvMzB/4xbUbXlohdhW7PMErjlQAXoUpYf9bQdYsEJsHooOEUqsYuRgh1IxcX5i91A8DN6QTSI62ZP9t0CkeXEkJb0GpnoBUSj3GOqQG0QOomkUAKAQ4sHuEs0jqEaMiN0npcJPBZQFGVtBZjFJ5EuIYqoBTeKETUQSaHcPkEW0zAhU0OqrEcnDhmmzmDUFGZkOZsbbrJQlukFTjRmDCHW5bO2SHLA0/LexCK2tVc6MLl4wkm8ehIIgOJ1rJJtpHqhl2P96Ca2FWUUlgpEcKQTUtGmwW9Iy383CPT+Xoerdj8ogO8q/DWU6WCjYsDWkGHpGswLYcKdXPMtGhiGecXs/Ae50Fb8HUTJylkjfAaihhTNz6dQpsbSmbhwDpFZAVnjt/Oj505QxKaeY/WN1Y7N97mf2f8wH+lbtyuOM9oL+fAgYilhcOEuoWtSqIkRrTjRtEtHZXNsa4knVbUpaVOWojgEN2oSzsKkUrjvEMpiRKKNgm5TQmUobYtNjYLsApfKlZ6S7RbXby1RC3DwkKMCiCraqQSJFpw6NAKy8s9vvH0BcrKUhY5eV6SdNs3xFBZlXLgxAkGZcri2iJLkzXSpRWy/oh4KWQymXF5kLFy/Ch3HO4yswV6ZYnJNKUVBPz47Q9TV55RP+czn/l7kkjxutfew/rulCvrl/mJt/33rB1fJUg6DKYFwkS85eG3YUswyQq+KtDVjDDusqQMp9aOkyx0WF07iPOO47ffgZYRS6uN1iHxAAAgAElEQVSWPAflNK0wxhiLUzNm6RY6CrDWUxU17cU2ca9H2D5KOamZzCYcWuvSSQKWlw5QGUfSa5HOBoRtQZKEeJZxRUW6NWLlcJullqb0FUnPYI4cZPXI8kt2Wr4CBl+pl2d5dWMh2beJUMpz3z2nObiywle+8kQTd+Z0k5BQ58wmNc42OZ7OOxwVzluMdhxaXWBxYZEkCQkGuzihkDbCBoJZ61ZuX7nG1sWL9Ac1wkvcgqCOHKH2VFLhpcNbSVlbpmXAuDqI6z7E3kRTF46k20YETcyR0gKlm4VYaw2IJqfX1tR1MzIzSuOUJp0eYjabcWCpBpHi8GgkQS3oRinjyUWC5VsgCFBhTCgtXjbB6u7AA2TjS6T1k1grEa5C2CarGJug1AxLOQcvAl0Zap9SMG6SQmSFJEZ7g6ZFGC7gZcDOXsbVSwPyokRqRagVK2JIOv4UQq1h4regWq8CHb6g6EZhncZYgylCCt1lPOiQZTnVeAepmpGu0gqjY6RUDV6nsXTxSmKdJxodZvhkwdpNNUEQ4IzD15LdizPEtaMkYgGpFUrGzQhfSoT0OFdTliW1bdIvoOmq7SeDyDlXUCLAK5wThNIRz9bY+9aUxWMRPm68BWWdNt1ALZvxszI4qfA4pKtxTuKoG6GL9vPoQIGKFGla4IMIEUuqWdPcUlaga082Trm2+TyD0R6+GCO9QymwWnHASw7okH8e5KyHggyNQSK9RniDkh6FJN7MOPDUiOO1ohMEKFWDElgbksaCjdggI40KBcqA0o2B+b5voRe+AU7O45THSjkfXVq8E6STnGysafVUkzXsaQA/cm5E3ngOikoy2spwhSVeUqjYIyOBDESj2ldyLiTZv4hFk+KgHE5JvFAo4QmsxkUakwVI1YhepFRzEFQTOscbT7+Ke44fw9CMV2+Av7lApBEB/f/42fRvqBtagnkUXX93zGir5tZjBwiQ2GqENoD0CCOoqpIszYjCFpKQJF6mHJ0n6cSIMoBQUosKIVKsswjb3LRUtiIrM5TQ7OwO2NsrqEvJTUdPsdhdRAhBXo2QYYUJa2ZpSqAVkdKMZ2MMmrpyuMpR5BneC+648w4WDh5iazRhaifkVcVwnCEDS8sIlha6bO5OyKYFsnYYFVFZh0aQFyVV6Ngc7TLaSlleWEZMc+IgwgSGd/7UO5juXCMJNVWWURYFh1dXCYKY3f6MtAQnCoLQgPJYCVbGFFqzm1p05ViOengpMWEAIiTPDF61CFshMoR0VjAlIHCaIJeI6QAVeZSGIAlQKqaqY5wIkB2JDgOyNMdbRaIVuiypnScOF5myi1KNyl9oRe/YIdI059LWiCi3rFSCtq2JvXyp9COvgMFX6mVa4kWGLTf+aToNR48e4h3v6PGPjz/JYJBTVh7nNVVVz7NsG5+yum5yUXtdw8pSl6TdIggjAh3graAICqQFVS9gwjXedL/kynafy1e32NwUxG1FKzQYBU5LvG/RWjiJ6N7KcCfGF0v0d7ZQSjRKVSHmSRgKpTRBEN6IF6vmmbreV82YUVmkVqDaDLMeJsoQucX7Em0FRjliA4Nyo1F2aoM2mkpIgrlALawXiQ/9B0b95yi6FWXtUMrgVU1Q9umYiGFRULkKfI2WBbpWCJHgfQ1OYUXTITO+pCjGXN2acOniOXqJZymJMVogZWNoXNdTlstn2B7s4FSOXv1xrAqROPR89FhXkgrVjFPtzezJTfJsiCOd+ww6BI2HWafVbRY5L1FCE6gIbxP6T7RRP2YJFxyhDplNKrb/qSapjqBUSCgMSgqQlkk6YjobU9ZFc+z1fpIMgG/yqr0gMCGdVoc4ShBSoLXC+oCW7TD8eoJ8yJMsN53krISp1XNT8RAjY6TQTTfRldQub/h6niZVxs07bIFDpxpqhzzQYrSVcaD2VFqysz1gON4mCBVRKDGJwnlJWTf51FLCakvwJm34+nbJhcpSLIToumgSVpRGVDW9p0fcXBsWYokJJEoGCOGxXhDHAhMKRADaME98kSitQMkXANM8vlHYJnO4KUXgBLaOmO0VRGGMN6LJaRVzS5f9obuTlJln1M/otCNMLDGhQhrfjCm1QugmVUW82HbJN/QLIeZjewQi1NSmEf8QaIzUGK1BCpbCNg/efhtHO12U9y/aD/7F6vrvLWHkB1WTijL/mobjHMYdrCjYnTzPcLpJXqYEYch0mjMdZxRphXQRB5eP45xgnIXsjDKO9UpmxYTr46uMZ3usr19laWGRpBVTO8fuzpiALtSCzevbrB4+ThwnFGWFVSNyv0GV5gyuTcBXtJIQ4STFKEelkmOrJ6jrirJqPDbXjh4hrafs7O6yM9jFS8lwOGVxuc3O1hYrSwe4fGGXTtCllyTsjYYoEzHJa0b9GZuzPtPZjNFujtCKlcWE2WyGyzxnbns1K0mL0sE0y6hLT5oWnL28waVr1wgiRZQsIEWA8xVGR3TaB4hNl7SyJDpktneJWw4fY2tScuX6BuO0Jooi4rBFkVfoeURoZ2GVRIcIG+OGe6gIgpUuu7sFk/E26aiPN4oo7lGVFVSz5oZ46SDtsENHRdS6jRI1Y6t56qmrXHr+Ku1WyMKBHrPRlJ4O6YWK9sItL9m58woYfKVeqRvl5v8LWq2Qt7zl1Zx9+iLnz2/NlY5mnpZQYW2jbkVUdHtdotgQhgEijObJBzXCSbwH4QJG5WEI4fhaxOpywGSWMs0KilJSVIYzb/wfOXD0jfQWD+NEl6sbOzx//hzPSbi6fg2EmptPi7mpdEOgb7VaBEHAbDa74Ru3/zNNHJWhrBKkbiHUFGnLZpynGnNn5adNd8fMrTzm6SjaKVwQELZPMrq+wmB2DRM6lKznqtkJB8M9Lu9dpewuEJQtaukRSuKjE1TFc/hY4OoaK3OKasx4mHLl8jUWuk2ebhAq5nz+xmLEeQIDUu6wO3gUuquopfvxaKpZynA0ZDZLsXXNvEVLoBcQUUDT1/I4XzWg0dUMx7toZei0eyjVKKOlCgjGXdKrFb0Tklgbdvsz3NVlQhE140cpmBUp4+l245tnAlpxu3lfhWzggtg3oG7SVCpbMpjsMk1HtJMeWocoGWBEjZquMFofsniqTew8pSiQ866jkS1C2UaLAOc9pZoBDqfq5r2wAiEUat8uRWvqWtA6ucTV569yuBBM0owsL+h1YtoRBEYhRWMGXllHHEVMJiXTWcnBpZg3S1galjydzki7hiqRGGUJNqecyDWdWBEFAmMMWhmQDUcpDCqUFvPxdgMEtdZIbRDzdBSEmBtc1yBqmsFvM+72RqJCRZnXTHYLnICqck0ncD6GVUoRGk02K5FComODDPZfj6Zrq5qIPqk0Us7/Vuewrjn37TxhQtJwCI3yc+NvTaA0SWS4eXmZ+4+dINEa4Rog6JGNev5HB/t9d80FJEI0xuJhLOgdsgzL85SzGVJBlMSMR2P6/RHrz++wc3WIrwW93gW63TYog1CWaDHFMmAw2aMsK1ZWe2gNk9mA/uaEC89vMNia0dIhnc4Swkec6zzPyuEEp7co3JC9vSlbm3vccecxRlmfdOS59NRVqmHBnadmDIcpu/0xdVmSlxMKu0Wy6jGLizjnWDhoaHdjjt+8xGArZW9rh1RkzLpd0qzAy7QRtkU5N99xmDAyDPtTRtMpp246QlFYslHFNx9/mqVgkTN3nGKajqmrgrPPX+TixiXue/1xFlc6eAI2Nnbo9tokbcGofx3vcqazDnszB+OS3at7XNod8fylS5x+zSG6CwEwIA89C702WT7Fy4xJ2WGyt8uROMCNMy7tbbAzFVzfuEhvoebw8ZXms7msiWNJa7HFIOtT2UWmpSVMK8pxxcXzV3n6W+eQWnLriSMcPrlIWi1hK0e716KO9CvWMi9Fee+/K9rplXo51wsjJyHAaLjrzM0sLy/wjX9+jmma4p3Eu5q6LijKGb2uptUKCYKw8UPTDtIdrm0M2d3t4/MKvGCgPdfXF2gnIccWFZ14C4EDW+KsYNy/Rqd3lSROiJJFbj52lGNrB7n15M38l//5z5vFSrgX9nQ/Hm2eJvH9TQF8o5r2EryYyx3mnDffGE4brRBizo/zDdlLOYXUGhHFiOgkm9sX0TJAOE9oK2oDXTOk458knZ3EyTZOCZwIiBbPsLP+ZaJyhjASJRy1K7h48SpJHNGOoRUptJGNp6BoOnrK1ijFXBU6pr/xfxF3T7Gx5xn0+0ijiMIQFccN97Cq8XGFMAqPROHwNFmf1jXK3tqWDIY7tFptwqCFkArjAkbnUtq3VOSBYO/cFOUOo5UD4RlMBkzyacP/CUK0MhjZpFoIXlCwNlFqTeSedobalVRVyWC4Sxy3iKKk4QnagL2LI7pnKqQtGQ9nsCabeEEZYkRCQIIVtvGMFPkLiRzzfFmvHEI5pGoEEnotpnr1AZ798jYLecXhpRad2BCHFqMbUYbzjsCVGAm4gMGsoOs0PeN4tVMcTOHZ3YztVs2sJelt53R01NiE6AAdtIjCZaQMyOsJyvQbMCjnCTdaIo2ZZ2WHKGlgDshrWc4zt5oOp/AeoUEZgVaa8TAliEK0UZjAzMFLo8Ep05rpKKfVaYEBYQRC+waoa9FYy2iDUiFGBEghsdIiXEktCvBFE4VoAemRZYGyFcYHJIHiDSdv5pblZcz+PPWF5uKPNhD8HtVdiKnFgLzsYK3g2qWrtMMug50x2xsDBhtjbGYJw4Dx3i55MeLUq46yfKJglK8znaSUVcryyhIbGxu0W0tcOneV/vUxe5sTQjQ5U6qZZZoWhAslnSNrpNmIIrfkecmttx5rTMUxzCZTrq/3MbXgm998isuXN5nlBUZIqmKP3sE1aFkscO6Zyxw9epA0zxFesbc3JZtW7A42CMI+7d4CxmiGm1e57babqbsRXjjaCzG7gwFCS7JZiogFi2sxT37laZ785tN4DdNpynPffprXP3ATp06tkCnHdDDl6LEuw+GIJAnwFEifcnk0JBtHVJOKr3z9GfZGfU6cbHPscIzQoI0hK0qKYkgUa+piBxNMkGuGi+eus3t5l1Fu0dIQyCFvefgNZCLHa0d9QM+TmnKMaW7Qp6OCrXrEleevc+GZDWKnOX6ky+tec4qy3VAvXFExmI7pLEc3PCX/rfWyBoPAjUX0pQaFL16cXwGc/9/UPph/6UD9d25DIITj8JEl3rrwah5//NtcWd+mrj1lmePqGUdWD2OMRskAJTURntHF/4W8D9rfAuEiWrRQIiH1MJhWXBsuE/k2C8EzrLQLIlNw9dlPs/7cZwjiwywdfQOmdw9PXZhy8dxV8tmIpNsDF9wAftbauQgjJc/zG13B5oOlsdloUFFOaEbU1bSJiPPuhhl16WucXMI5gbyRyrG/OIp5B1GzevQkndEyO9vXsEWbVk8SGAh9ygHzPOeGX2cavIbQHCQGdPtmhtF9tNPH0MKCV2RlQW09cawJjccohTEaYxKEDMHXyGqKrDIwgipy+NE1Lp07SyZXSDqtBpgJSZZljNN0bsCtmrHfvKvjhcc7gZYOK6t5N68gzaZY5yg6Q/KjT8HKDufXa7QUiEDQflCQPxcwvtKjzkvacYvQJGgdvmB2/C9sZebn4Dx/WTqH8o3yuBYlaT6l8jl6ocDcdAFxaIur5x14QV7nHFyz33G+vWjGuu8TN3/o8Tg5vxHwDiNbRGFMeEfA1acmHO4rWqHHGDA6JAxbCJPgXY0rJ+AzIluTlJClls5ShFE1S7nk5ExycFYzFZZ2DXJZzC1iDE5GqGiRwLSxGUg1BOkaiq0UN+gKWgUEKkGLFnhHLVJANK/vXCMQmedrSyWQBnQYkPQilLGNkli6+XhZ4kvJdKpQRiL0fi53A0CbjrhEqZBAtwhpI1ANd1XMcDRentJbhGxuDxZqhxuMWTi5yENnzrDaSpDNLRFeiGbs78V3jYd/JMvP15v5rFgbTae9yCydkI4qNs7vMRtdRzhBNbNQKsLAoKKKO+85xYGjK7SXW2TlhOFwwlJvkaTdwdqKULW4dn6HS09fp5rVRCqc2xApKlJWViLWbgop6gFZmtPvDzlxYg3vK7yTXL/U5/wT64Q+AA/9wQRbecq8QIaCO06vUckaCsloOEVrQ7ebkJcOgWBn6yJV0YxmJ+MRs2lGFEgevve1rHZjdjSkRYWQgukopSpqgkBRZBXJYgJasrXTp7QZxgQcWDC8+c7jbA1TqrgmijTaxGRpyd7uiHYnxPkpnaWC8fYWG9cH9Dd3OH4g5u2vfhVpNWM7z7CdCOurRsjmBWlZ0opARDOOnO4wSQdMn95mrR3znx68h3ywi2vFlIHDBBovJUWaU5WOaT0haEcsJj06BxLaiwELIub2tUPYvQm6VEjhWTy0QlUXTSLUS1QvazC4vr7Oo48+ShRFvPe9731Jt/1Xf/VXbG9v8/a3v52TJ0++pNt+pZr6+Mc/TlEUvPvd72Zpaekl266f6wmbaiwvklbAQw+9hm99+yxf+srX6HQ6HD9yE87NrUH2Semq4lB3m0RPGExTpuIBSrMw1x3XaKfxdUxet9kpu7Tlsyx3NxDM+YjVZfrPX2En/zvG4rUMhgrhPaFtfPP2vQSllFRVk/8rhMA5dyOz1jmHnT/GpXSSAa4cYW1O7Syu9rhKkFqPjI6S55Zs2ic5tLrPvmrAoBdILzFGctedx3lOWc5fuE48U/RamlbgCWTJMf8Fsv4lKO6h6t1FHa4Qr76DjSt7+NmzLLiaycyjgrBJNFGNN51RMSZcRAUdbF002NU6pC4RSjORJ6iFptOOCcMWHsFwbw9rLVEUYnRIEUlK1aRfNBIMh5cSnEOKhpO2rwROyzHu8Dk6b+4T9iQybKFw1IueaHnCLLzA5NpROvEaoekQ6sb6pPHB0zc8BsWNiMD9zqBHSYuz+zFrEitqsmqCOXGdzpt3UO0QZTzKQ8tJ8Cl+3hGo5QwvGqBuyXG+yR32rjE8lw6Ek0gL3lYEYYdI9ihESu4qwlAQSIGRHmUCTLSEjpewVUHtobYVWluUVmRFDV5T1IK90YxASbqhBBkzG+fUWc1G7pD9DCvHmGjA0uJB2rF4gRc4j0lsjodCi4BAJBgWQDiElw1XVDaJMc0xA0QjxBBKICWEkUQEFjFPWRFeNMNdDULuJ7Y0o+c5o7cB5FKipcYQE4geCkPFDCcralc16nMhqPB4JehGIadP3cKdr341oQl4gXIvXuDY3RAL76PwHz1U+IJlFuzvf1FUbF7bYzqYsnlpl+2rI6IwZKHbogxLMlGQLAXc87q7OHi8R17mTNIxZWU5cngNawukDLlycYfnnrjEZCslEhFGGbzzOC+xVNx8xwEeeuf9FL6kKGA0nnL7HTeTFylV4ZmOK85+a52in7HSXmSYTpEqImp7Cltz15kjHDyxwshmKK0Z7Y1ZXGijpGU2zXAONq7tEGgD1tMKAvK86f72d3YI5RGqvASaa12rkN3dPdaOrZBPK8CzfLBL0S/YG1a0WgnT1HL1Sp9jJ5cRoiKNGleGxcWE7c1dnE1AeJJEcOruAzx39mmcrekPKr7wpW/ypvvv5IiOmOSOcWRQsUE7h9IJo8mUxU4HlOTuN5zg+E0LXDu7y//6D//E/Xcc5/QtHa6P96h7EVYLWp0AAaSZwKEosgLTUtz2wCmyQcb5/i4HozYndZd8OsFsTzkWtpCFxSFfEgfMlzUY/PSnP8373/9+Xve61/He9773e3aY/rWu04s7i/tfl2XJr/7qrzIej3nTm970A392//H32+YPqu+3b9/5/He+1g/6m77ffn2/LtwP05X7zr/nxdv6Xs//MNvY3d3lV37lV1heXuZd73rXDzxm/62dw+/qD87HSUrBffedZvXIQT77xS9zfnuLkwcX59ipUYoKAXHbECiIzFV2J56J+TGsPIhHoa1rFlWjqUTA5b2ahW7B4WiExWKNIzQQqAHB3j9T2hNsZiEuiLHaUGvVtErqBvRJKRvXCyfm2ccWWztcbXFVQTfaZqE1IK/TeZ6tpKxritIzSru0Dh3nysUrqDjmmHsVTTLFfrayb8Z22YivfuM5Nre3WOrEHDgQ0mnJJq4OzSE/I7dPMc7Osb31BEXvJ4jjE0RHf5b1zS8x2PsqLt3j0KIACU4qDLLJV9YxQbhEKca4YoQSmspljCYakfVZcP8nlC2q5G5G+Ro6jIk6HQKjCVSADWu8FDghkL5GohuD6vl4dd/6Rnhw3jLebtMNF1CdFKU9UhgqFMLD5nlNqz5Ay0QYoxqPQWmQ0jRgX0iEfLGcQNzgDXqnAIsRAmFFA0q9Z3JJc+jhBLplQzAHlJeUrsJbCSLHw9x0GazPcTbF24Yz6Bz4UlONS7JRRZZW7Gz0mY5mKDS1rxhEmgP7Xn0CpFRNx9VLnAhAaAQFSI2tKyZ5wbXNIXEc0YkkJgDnDOm0YFYVJJEmagU4CdbN2N48x3plGZ7q4Y+G36GsbZTAAjk3vpUIoRsOIAK/r2Z4Ua6v8E3X2cSA3m/9gfByDtE8SjYdUsn3SP640bxuHB41cx9Ir+YQnTn/T7Dkb+HB+97F8e7d7CuW9y/qfY/m/d/5/p8APxp140ZuLp9BePY2Bnzj808zGRVQQyAVysCgPyDsGO5/6HYOnzqAihTbWwPSWcqxY0eYzMbUtmK0W3Du2efYXt8jHxeIWuG0Q9BcTzqR3P/GM5y6e5VpOWU0ysnTimNHVxmPh7hasn6hz/PPXGO0kRNLGI5HOHQTDVdWtNoJpx+4lUzWgKAuaoTw9BbbjEYpSgZcX98mG1UYEWKpQSq0bG7UpQ4pvSNuB/iyJp3l6FCStFvEYUQQZUhVE3cCpFG0ky5CwCQt+dbFLW676RBy0KdaipBSoqVk5dAyW1u7LC8ukcQhmS655a6jPP2PF8is4FsX9ri48UV++afewpI0PD3cI1wNsXVJoCWhlje6nkknorOacFO7jXgu4u+++Sxnz29w5o7jHBASkoicGuLm2pJS4IQlm+XMZjOSVofWao/+JOPZZ5+j6k+45+hxjiwmrB42L5kV+ssODL4Y7Hzta18D4LWvfe2N578X9+qHCWl58c+kacqv//qvEwQBp06d+p5g7IfZzg/z+t9v298LHH2/73+/7X/n89/vGP23gtwf9Dr/2rHe//7XvvY1vPecPHmSlZWV77kv37nPPzwg/O5x8YufWz24wn/+qbfzf3z5MZ5cv8YDSY92qzF+xkki4xG2YbH5ehNbnaUyB6hkhJQ1ToJxEukchTvJ+taMw7ecJxAzrDVkmWPvfEFydsi9ExiqkPWDGbNTtyCUapZH6/GqUVR6fNONcRWV9Y1Cr8yxRZ/jR68S2THV/HtVKSgyy26aUMWvJ89a9LeuceSWm7F1Y3jsnMVZ1yRIuAnXL59HDsesLLc4thqRtAVRKNFKIOeLamA9RpWMrz5JqG/h3tMPUTvPt2tBPuwwm/4TS3YdbI1DUgmPJEXUU0gNzjaJHXtjy0Y/w+M43r2IVBVpvcC50VGCzk3E7Q4m0mjdpG1oI3DKNR0j33R6ajxe2Ca+7UaP1xP6mmCwyvSplIP/0aGCZmypnKB/1lFfWaSjEowKUWpuLaMaj0ElX+QH+B03Q94J3H43VTBnLgZ45ciHqwyfSjnyYxodNJiodjm5t3hrQTSLqhSKxmevorYWbx126tnbnJJOMryTGKVpJQFClhRF2VjcnGzztbTmeuE4g+a4B1XNcNMtRJ1R2+Fc8CRxtkJ4wc7eiCgM6MaGKGzOod1BhtGKdiegZcBI2YBs5ykNzArBZp6BDxsw5ufcTm+xvqL2GfPwb2pSnC/x2PkYfT729s374LAIJdBGNV1AIUBIvLAIr5CA0BrnFe5FguT5AL3poHtH7R2aKSUFlgxLhvd1o8KuW9xu3sSDK79AVxzhBqfqX6iEX3gs/uWzP5rVtAZh/p8HpsOcYlSRGE0Yh+RpSVbmrN16gDc/fA86kmxtD9m7NCUI4MTxw5RVjS0FFy5dY7iVsv78NjZ1KKEwUuFsjZegY8HrfvwMh29aREUBG+c3GfYHnDlzO2FsCIMeF57f4vzTV+lfHaCdwWqNNJIgChqZj7ccv2mFI6eWKX1JludcOTcCadE6wBkYjSdMh7PmVkNCae28m7t/clgq50nzkqJuOupx3GJna8DSYoJUgsWlBdIVx3q4i6kcVVEym2Rc3Bry1LmrnLh5kdw7xkVJGMTkRUEQRlxdv87Np45RuYKTtxxmujvlwhPXmFgBIuBzX32S1999G2eOHOTKcJeJ1lRUBNqQlhlZUZLnGYu9LiQlh29uE0WnOfvVC6x/4UlOrS3xpvtuZ205ZlgWqCSmEA6TJFTeYYKIdNYkKC0fWCBeajPcGvLM1T3++dxl3hof4r/7F5Os//f1sgOD+4DFOcfXv/51AO6//34ArLV8+ctf5tFHH2Vra4ujR4/yMz/zM9x7771NB8Z7vvSlL/H444/zhje8gSzL+PSnP41zjl/+5V/mvvvuA+DSpUsopTh16hRxHANNJ+uTn/wk3/jGNwjDkLe//e287W1vu2Fi+537V9c1jz32GJ/+9KfZ29vj9OnT/OIv/iKHDh1qFHPW8u1vf5u//uu/5vLlyywvL/POd76TBx98EKWaD76vfvWrfP7zn+f+++9nNBrx6KOPsry8zPve9z6EEPzpn/4pzz33HA8++CC/8Au/gNaanZ0dHnnkEZaWlrj11lv55Cc/SVmWvPvd7+ahhx66Aaim0yl/8zd/w5e//GXKsuSuu+7iPe95z439c87xx3/8xwwGA37+53+e1dVVAH7/93+fLMv4pV/6JZaXl/nUpz7F+fPnecc73sETTzzB5z73ObrdLh/4wAdYW1sDoK5rPvOZz/DZz34WYww/93M/dwPI33fffSilKIqCv/3bv+Vzn/sco9GII0eO8O53v5t77733xnF9SWoOKiNj+E9vfSvPXFnnmygZQKIAACAASURBVN96kqTVIgjs3HdQokyzFNpY0arPUuhXI9UhvJQ4YXEWhJFULmCYrTIp9ziUwNTmPH9hj+jJDjflS/TaHQ6UBcH2Jt/qdCmkwjsPWuO0AjvPrnCiWSBdhS1K6nSXA50nWU7G5KVtvldDVlr2pjG79lV0j7yajat76DkXq7YVta2xtWsyY6uCOt2hnFxlpQNrB0I67Yb3ZwIxF3801MTAOYZDy2a/4N5X3cTa0VW8q5hsb5DnX2DQ7pOnDttV+BJqKZCiwjPCkeJ9yVZ/yNZOTqdtiEJHKD211gwGt6FbdxO0e5jYEBqDVM1dfKAEtSmaNBZv2I+jcw7Y54V5jZQeLTWJXWD8zQ5rb5ZEPYcxAcW05sl/GpJkaxgToFVwoxvYGHs3Ihct5QvCDl4Q79T7kYBzDqOSFu+bLOTI9Rj+3wEnXh/S7oETkrwasZdZwDVAUKoGZPoGKtVWMN4u6F8aEMgmJlBH80g/BUg/B5ECKo2tIi5WNRujjNszyxu9oF1MGwxV5RS2pqglWWFBKGzlWeqFxIFoyO+lJ8tqOp1G3BMog1FN3rBzFqM8UkESqoan6VzDz/SNargWBYUQ1KIEPNblVL7Azj0Z3fw4OScaEXglMBGoALx2TQIJCo/COY0QFUGiqYsa79RctOVphO4OJyy2Lqj8DKdKpBBYJ6h9jqsti+XNPBC/k9uih9B0Xprr/kehxD7FpbHIAYFwCo1q4h1tgWkLTt5+hHtefyc6CdjZ7rO5ucviwiLLK22m6QRba3Y3plx8ZpPh5gRRCWITNNu1Ei8kJnHc98bbOHb7CnvjPYazGWXmuPP2W8DneB+wvT3i3Nl1poMMbRWdJMJagVAGB+R5gQ4997/pNmoqdvszbG0ZDEfc+5pTZHnGXn9IkXpm4xRX27n8jeZzWIJWnpWlBYTUjWdilmMCQ12VOGfxCFqtFkLkCO3wyoJo1OVlbhlNSy7tTjl96xqtckwWGSbpDLxAK8Msy0jTgqKsEKbkNW8+jS0Fl5+5zmzseH47Y/qPT/Azb30NNy30uFzljGNFKSpM3CKuY4qsYjCcErcMiwcSegs9hFQ8/fXzXNiYEoTX0OWYB15zG3KUI7uaWnsq0ajre3FMmmWkRYr3kriXECQRw8Ue68MxL5Uh+ssODO7X9evXuX79OmEYcvfdd+Oc40Mf+hC/93u/B0Acx6Rpykc+8hE+/vGP89M//dMAfOQjH+Ev//IvueOOO9je3gZgMBjwuc99jscff5xer8cjjzzC7/7u7/Kbv/mb/ORP/iRPPvkk73rXu7h48SKdToeiKPjYxz7G7/zO7/Brv/Zr37VvZVnywQ9+kI9+9KON1UIY8md/9mf8xV/8BZ///Ofpdrt89KMf5UMf+hBZlpEkCXme8wd/8Af81m/9Fh/84AcB+JM/+RP+6I/+iBMnTpCmKVmWMZvNePzxx9na2mI6nbK1tcWf//mfs7a2xsMPP8xjjz3Gb/zGb5AkCWEYEoYhm5ubfOITn+DRRx/lLW95C/1+n3e961089thjRFGE1ppHHnmEj33sY3z2s5+98Xrve9/7UErxsz/7swgh6Pf7vP/972dhYYH3vOc9VFXFhz/8YZ5++mkeeeQRtra2KIqCyWTC2bNn+dSnPoWUkg9/+MP89m//NkEQEAQBn/jEJzh48CDee+6//37quuYDH/gAH/vYxzhx4gQAV65c4Q//8A/5+7//ex544IGXTGTSbMPfGFOdPrHGqcOHWL92vTGjtjVGtnAqRrsSEVa0couVu8hwlbrW1L658LwzaOMoig57s0McW4RZf4d0KOiUESaIWFxZZDIc0R5NsHnOdDIhspYonOes7t9MeIV1KbYUCDskCb7F4fYGWWpJAW8dhQ3Zy5YY2FOES68hzyTTNCUxccNorMtGmFJV1GVFlU/Jd84S1Dss9ASdFoShwgSKyCiUaZIJvLO4qgSZYyvL9pVn2b31Gs6W2Nk54kAgDi5w7ty1/4e9Nw+S6yzv/T/v+56t19k3jXbJkizvxpKx8XKxHHIhITdxQaCuE25Sya0UECp/UARSIaFMQkJ+RaASCFkoYkJS2KkAF7gFAZJgfA0GGyxb3iRLttYZSbP09PR2+izv8vvj9Ixt9iSELNaj0qzdfd4+p/vM9zzPd2E4LREGklxalE1x1pJLSa+b01iOqVUDhiKPcGAn0rLDnHcX45WH8III5SukFyJ9SYgmFTFZEODjF8DBgbUOqQsoqFkDbQqjAjxrkM068TwMb9L4foXeaov8+Bgjolr46kmv8KqTPmupI2tWPkopxGDcW8TGGTwrMJoCzMk18GlR0iv8IZfr9OZSRjf7IBS5yTDaIbEYZ3HC4ETR4cVAcy6mMR9TqkaUqh5eqJC+QHkgpGPgmIwRAqULQCa0AK/MkbYmb3W5DklJQ5pYmklKP4E8NwgMnvCLcbcn8IOA5WYH5QWUAgg9QeAF+EEdIRVGJyDaGDSeEljtEEbijMMKixG6AI0YpEiL0a3NMQNuq7OFSbm1orhPLrDGUa/54CuEV0KKACkNOIdx4IyhOhzRnO/gMokNHdaTSONw2mIwWJlhhcGzIVZKhHWoXLKT/8a+oZ9lVGwe9Cn/E3f6/rXlCuGNMRavLrhs3y4mZuvgWVbbbY4908L3FcPDVcanavTiPhiPhflVjj52mvZiF9+p4jxjHcZahCcoDUku2b+Ni6/eBAjq5SFOnDxNqRRQrUdkmaS5EnP8yFnOn26SdXMCpzC5RQQ+QaDorBbnsxddt52tu6bIpKVqHYvnWlh04SEpHJNTE5w92STrWUwGqc2LCz1bdK19pQh9hZAObTR+UFhWTU6NMT93Fm1yrBEYk1MfLlOqhtjYkuUFnabbzTh6eomrt09TGgXQVKpl8n5OpVpmbGyMubkFJqZHGRmt017tsvvKTSyda5A0Us6db5EOlfjbLz7AbS+7lo21gGPtFtHEECu9DsJAGAasrrTI0oTh8QpBqBidDdk3tJtvfukRvvbUM9TCEs34MfZdvoXJYIwkXaU8XMb4CqMcUcVH+R5LZ7vo3DAy4TMyG7Fr40U/tJfLvz7d+D9pHTt2jFarxfDwMLt27eKTn/wkf/RHf0S9Xudzn/scKysrfPCDHyRJEn7zN3+Tfr8PFN02gA0bNvD444/z0EMPEUURZ8+eZWlp6Xm3ueaaa0iShNtvv50TJ07wtre9jXPnzvG5z30OYwx//ud/ThzH37a2j3zkI3zgAx9g8+bNPProo8zNzXHjjTfy6KOP8oUvfIGDBw/ylre8Ba01H/7wh2k0Gnz2s5/F933e/e53c/bsWYQQPPjgg0DRPTt27Bh/8id/AsCDDz7I29/+dubm5rj++uvRWjM/P48QYn38Ojk5yVe/+lVOnz7NL/3SLxHHMXfeeSfOOd7ylrfw1a9+lZe85CUcPnyYc+fO8ZrXvIajR4/yvve9D4BDhw6RJAlbt25lbGwM5xwPPvggzjm2bdvGxMQEnU6HY8eOIYTg+uuv5/jx4/zt3/4tQgiOHj1KkiTcf//9/OEf/iETExPcf//9zM/Pc+DAAZ555hmEEOzbt4+5uTnuvPNONm7cyBNPPMHRo0d5//vfzy/8wi+Q5/m/jYWQKFrzyklKgWT3to3MbtyE8kKEF6KkwxMCn5BQSQLZoVIK8T0PpdaECBJFAKpMK6sgozpCRRip6IUpWdplZWGBuN0lLkdsv+oyVClgNe7QaDVpddq0u226vS79uIOvPPZevJuf//nbufXHXs3IzI2Y0qWI0qXUZ17GZTe+jZv/x//H7I5bya2i3VpBGo1UkCQxZ+fmWDh/jtVmk7jXpts6S3/5IULPUIsiPF+iPPCUxPNLBMEIYTSFH44j/SoTYyOMj1R5+sQ3+Nw//R/u+do3eezsJI8sHeDp9k/Qq72KU/3LWEw20XU7aelR+llOP0k530jxA0W5ZPDKOSoSeGGJrp5Fe5uK7FJf4MkA6SkCz2IbXyfvHCEIPYLQwysVNiXeYB9LUSQKF4BOgPRB+vimRveUI880me6wcqqH1xsqQJ9QOKUKUZAo/gshBqIXhRco/EjhD7bp+wVAlFKihHwWPDIYLwufQI/QOG5J85w8j4kbKTYFk4HNLDaz6NRgU0tzPmb5ZEKtUqZUF6iKQJXAj8ALBV442H4kCQOQkcAPFVGokDUJY4qnRiT3m4S5Zp+zzR42h2qkGK2XqVciPM/SbLVJtcQRkGamMJj2wJM+flAiqEwQVWfww2GUFxUJK0istgWoM66gEegcrTN0npLrPlneJ9cZJs+xucHkBqfB5g6bO0xmQWkqQyHKCwi8gJLvU1YlIlUnGPgW1kYrgMJkEpuD1YXZu9UWpw0uT3FZSq5jTNZnuD/Jj/m/yq2VX2VUbixkX0IWdkwvIDwoBhzO4huHUJrZ3UPc8Ior2HTJJKoSsNxsoXXG+HiJLdsmqA/VaDX7LJ9rcfTQSY4cPEF3KUbkjsDzsK4YwxpPMLqpzE/+z+vYfdUGjLPEvZT5M2e5aOdWtu2YJU5SFhe7HHnsFOdONEmaKZ6TCF+BUgShT7fbJY0TSmXBFddeRJz36XQTOp0+7VaHffsvplrzyXVemEg3u5w/swRGgSt4qM5Y3IC/6+GQniMIfTzfR2tNkvaRUuB5AaWoxOjICGOTI4xNjhbG8XLgw5klrHZzjpxapKx9VDshUhIpDGnaY3pmnCDwi4s66VEfrjEyU2LrJTO4qkOnCSuNDqdWNfd88whlr8zF1Um8dkIoFUHgg87YtmWakdEqOrNFZ35siLGpKj/2qhu57NpdZGhWEsnphZjzp1aZyoeotaCsIc2SwgfWV4xMVRmbHsJqQZZbbLBmlv6vrxdsZ3AN9Fx66aVEUcRf/uVfYozhjW98IwcOHADg1a9+9TqAm5+fp1QqMT8/T7Va5QMf+ADT09McPXoUay1DQ0OMjY2RZRmPPPLIesfxy1/+Mo899hg7duzgbW97G1EUcfPNN3P69GnGx8cJw/B569Ja82d/9mcA/PZv/zY7dxYO4x//+MfxPI9arcab3/xmkiTh1a9+Na973esQQnDgwAG2bNnCkSNHOHbsGKVSiWeeeYZyucw73/lO6vU6CwsLANx0003cfvvtQNEhlVJy8cUXY61dB7JvetOb2LVrFwA//dM/zYc//GFOnTrFysoKf/d3f4cQgve9731s3rwZIQSvec1ruPvuu9fv/+CDDyKE4NJLL10fla/97sorr8TzPA4ePEie52zbto33vOc9VKtV0jQFYHp6mnK5zIc+9CHyPOfXfu3X1ke+v/iLv8inPvUpxsfH2bZtG/1+n1qtxpkzZ7jmmmu47bbb+Jmf+Rl+5Vd+5YcDAr/N1PNZG5BCuOABjlKkiGa34KW3s3DkI2hzBokB6fCEIfBC+tIhRI4DtM3JTY4RjtV0mLMNiV9NqIyv0Ipjnjq7xEg/hnKVyssOULpsD6VezrnzC5w7M0+v3cE5y+aNG3nRlVexd+8lTE5NEASA3Y0xr8LobqHC9CtIVQcEO3fvpxPHPP30cT7zfz6DdBLhCs6ac45c5+R5QhK38TGgDL5vEMrHQ+ELkDIkCEcIolHSNKbVjjm1CL2R6yjNXEmS1/BTx1B9JwhLnKT4Y7vQ6nrGdk6xcXyS1vI3aJ78AEo3SLOM4aGISHmEUhXjWr9Oe3UzyqsODIYlSjmUFHj5Kt25z1DzbySLAkK/RI5BxwIjClW1k0VHSgpwokhWtsISiID4rKHd6+DnluZJS+B8hPBRwiJxSBcgKZhmaybfnq/wI48gKjwH8yxHJALndJFEIuzg9SYH9oCyMIsmpHuuR6/tUMrSOK3JR0BEBqkKM2mBIus4zj/TpTJSxqtJgkjiBQrpy0LsouRAxLLGnhPFCFUJ8CDIXZEeXZWsnE7o54KJaomKLyEwKCcwziMzgjhWLC528WQJYwxeCIXAwscJH+mV8LwSedotFMDCYZ1D5waVy/WRpMWhnMUKXQBpyboS2ukiocUYh8ktOoOsn1MZL+GFPkoGRLJEKZnFyybQ4Sp5eI5YdRHlmOp4RGephwgjhOcNxuMGh0M6iVFQMcNcGtzCNUOvoio2DPw0LW6QaPKt0pD/0vVt5ynLxq0zXH3LleQupd/v0211iIKAoaE6Fk2SajqdPt1GwonD51g538amFl/6SE+RawNCMj5bYeNFY+y6fDMulLQ6CZCQJjkbtsyQ5AnNVo7RjuWlNnMnl2nOt/AH1k/CV4RRRJ5lJHGGw3L9rVdTmiqhcZi0Q7+X4PtQq1fIspRuJwERsLiwgnKKwPfROsc5A85inKFarrBt20aW41X8oQqtRru4QJM+Rhd0qzTLQDmarSbaFudeTymsKkR2Eo8zzTY3so0wKczKw9BDCUmep8xsGOfpo6fZsGGSsFq8/3dfsZnWcsz5p5fIs5xmu8vJc4pvHDrGZRfNMpI5iATtEtTH6qw0Gnh+BNqRppo0yahUqqxmXa79b7up1TxOHl3ka0fmKSvHJVunuWjzBPHSEsMbx+jGGT2XEJVKUJZUohqu00NZu27Y/q+tFyQYfG4HbN++fVhrOXLkCAC33HLLOm+v2WySZRme5+F5Ho888gjGGPbs2cNFFxXt2ccee4wsy9i2bRsjIyMcPHiQXq/Hrl27mJqa4mMf+xhCCK699lqq1er69tf4cN9aCwsLnDlzhlKpxPXXX79++7GxsfXbHD58eH2tUIzBkiSh0+kgB3mpjz/+OP1+n507d7J7926AdY7ky1/+coQQnD9/njNnzjA2Nsa2bdvI85xHHnkEIcTzVNBLS0s456hWq5w8eZI4jtm4cSO7d+9e31drXdEgCIBngd++ffuAguuz1qnct2/f847BTTfdRK1WW/8ZFIDRWsuhQ4cQQvDSl750fVvdbheAvXv3UqlUqNfr3Hnnndxxxx0cOnSId73rXbz3ve/lzW9+M3fccce/5CXy/PqOb7RntXtrHwQOhGJsx6uoTVzCqUc/yuKJL5O7NpkRuH5OplNWux2SLMMpgRcFVGsRjjoPLcQIhhHDo6jsYbKJLquiS6VsWPXvRT9zGFPagshK+MpSr9bwpCSJE77+tW/w0MGDzMxu5OpLthGvfpnO0pPofgMrJUFpkumNVzK74yb8aBOLyyssrzSLsSoOz1NU6zUcshCQaE0Wleh7HvHZj6NdG5zFIrBu8CdWJyRpyvHj5zl2NuG8dzNq5EoCW6HfPc/o1BjV2jBCOCrdHovdmKA6zOjoduojw+TWcOzxCegtEXiSQEmcZ1DSJxQlCEZJxDBS+rh1vl6RxpE1H6EuzmN8iYg8SuWIwBq6po+nDVpKnFizDRnYoCCxqnCli7uSpJujo4z+qkAVsA/JgL8nLOAVCnEKFbFUAhV4lKpFyozoOUyuea45tHADGxUGKmaKUZ1tOZJODlFK3lAYXxQ5z54owJyznHt6hcD3CUsSPxJ4gUT5EumD8hRSFnEtBTOgUCwLXYxrnTSAKxS1ccL2nmG8FFEuOcoKhF8oFY21eKZQvRvnWFxZxTiB1gXvDpthdUYWL6GlR6Z7pNYx7xxHrCFNfALpcAIkDuUkGFskz6xzNC2WQfdQg83AJo6kl4GS1MYihPSQwkMvltlqX87W0sWc7x7naftp0lKGVQlD0xU6KzFZXHgGrplEO8/i6YDN/hXcMPzzbAquwMMDJwfvRfmc9+gPS2v5n6C+TRYt8coevV5Ct7/K5MQw49s3EMcZSWrQuaWx2OH00+doL/aImwmhF2JxSKuK11dk2LZnlquu30NOn6WVJnOnV6hUK9TqiqmZUTrdNtZJ+q2chTMNWo0+jbnVQeylhxPgSQVS0O8l2NQxs2mI3ZfPEESKVqNFOapSLWs2bhyin8QYLVDSZ/Fcj4XTK+SJIfBtES2JQbvi2E6P1FAqIxaW0PcBS5YWcaFLS02y3OCcwWRQLkeMT9aYe2oRIQc52gbanTZxP6BvJJNhhXZm6QqHtY5Ws0W1WmV0fBTjHNgiG94Jw3W3Xs5X84OcfXqFLDOcbXb5xtF5pidHmB4fYjhSzMseXVOMpJOkQxCW8L2AxuIyOI9QeeRWM7VjlGioxLFHznHm6DkePrZAN+5x8769yL4jVBlZJSA2Bqcc2hr8kiTuJT+0zvcLEgxaa5+nJAbWhRzrhr3Apz71KXq9Hpdffjmzs7N89KMfxTnH/v37nyfSWOOuCSHWQdCePXuoVCrrY8o1MGet5Y//+I/Jsoyf/dmf/TYPwjWfON/3qdfrADzyyCPcdddd7N+/n9tuu+15a12re+65h4WFBUZHR9mzZw9//dd/jTGGq666Ct/319cKsH//foQQPPzww+R5zubNm5mYmOD48eMsLy8DrMeaWWv59Kc/DcB11133PMHL2r7K85yPf/zjANxwww2kacqTTz4JsC6qmZub4/777weK8blzbn09a6B37bis7U9jDFmWAQWRdk3489nPfnb9sZ1zLC8vc9lll3Hffffx8MMP86EPfYiPfvSjvPe97+Wtb30r5XL5B35t/HNLfMt3wg18AWsXc9H1v0199iUcuvejZPko7U6LM4vnUMKjVi/jRyU85SEUIBTODOHMCKk3iZ6cIFQHmYwWye0QfUbBSGzjSaJelzG5nby6DScHVh+2SN04ceIEJ44eZCg6wo6ROSpejBWKPD7G0wtf4+ihT9KXe2lkW8lFGY0lMBlISVgugxMYa3DWoPwA4e1ldeFqkvyrWJ2QkxNahdV9uvicOjnPiXMpDXkL/vD1jA+PYuI2LpAEYYmhSgXwcJlFqYTcJJycn0cbzdnFNmd6GyknTzFVEWhZGDcjBFaCJzyUoxj1OTdI2lIIDGnzCCO+JZby2WPwLU2g5/aFnCsMN4QNcC7EaEsWJ2htSJOAilOoQquKsKpQ9wJW+CghBj6Rpoiic3LwfTGyWheUfNuro+jeGSHJc0G/myFNjo4hONGnIroEzpIHkq7ySdqOsdmQIFSoQAwSO0D6suiMrnEWZaFut85ghStI8VoWRssawkbCBiEJI00UyCIhJKwihcLmCSqPwWp06LHayrBIRJqTRyF9zxDoNjbOEcIjdhnfsF0eL0HH99CdnDWfRaclRsii+2cTnC0SbZTnFfnBUhaj5BTSGDKtmd44hO8P9ozRNB7vM3vpVjZUNqBieFrXcXIegyOMHJObhjl3rIm3ZidjA+pyM9dPvpLL6j9JWYwiXZFvLITlBcx8WvcZdIgipxlBP+mzuLTAhk0zBKUSyytt4l5Gu5mydKbB8rkV4maCTYsOk5UGJx3G5EjPsXn3DPtv3YtTOeQ+eROUryhVfEbHagSej9GGfmJpNRKeObJA1s4pIfF9D6E8nBIIpcjSlCzL8aqOK27cRW2yztnlZbSFhdMLCAEjskaS9kliQ7vdZ3W5R9rJUUiM0YMTrsVKjTK24MB6IVEJEmMJQ7/YJhkjY3WEHNgZISiVIsq1ElElJG32C46qceRW0OhlfPwfv8L/+smbSHotZEkShD5T0xP04pTaUI2lpUWyvIznF/GTp86cZWzLMKutmN5SQtLPmV/p8el7H2PvlnEO7L8YtdIiCyVB5FGrV+n3E3QWMzY5wspqi85ql+kNk6hAURuNuO7AXqTKOX9skWPnNPabTzNTD7j26t2srjYxYU5ejki1oDQUUSlHP7TXzwsSDM7Pz3Pu3DkqlQqXXHIJUkpuuukmTpw4we/8zu+sj1jvuOMOlFK85S1vQSm13ll70YteBBQduW9+85vr3LXnApy17tfVV1+NEIIvfOEL3HvvvTzwwAO84x3voFwurwsrnltTU1PMzs5y5MgR/uIv/oLrr7+eN7/5zRw6dIi3v/3t3Hbbbdx000184Qtf4P3vfz+7d+9eF2vkec7rX/96RkdH18HuGkhdWlri5MmTjI2NsX379vW1O+e4+uqr8TxvndMnhOD3fu/3eNe73sUXv/hFPvOZzzA1NcXP/dzPMTo6yuzsLHNzc7z73e/mVa96FXfffTdf/OIXmZ6e5pd/+ZdJ05RGowEUKurDhw/zxje+kWazyejoKDt27KDX6613ONfU3GvCkbX9F4Yhmzdv5qmnnuJ973sf73jHO/j85z/PJz7xifXbHD9+nJe+9KV0u10+9rGPccMNN3DTTTfxN3/zN4yOjhKG4Q+fL/g9yghQWAQSJytMbf1Jbpm+nocPHeEzn/8yKgwYGh4lLCm8IMRThVm1QOKsxNgAT0dkqk63C8qcJKheSrm2G6lC0qSJt/JVSt3HaVuDDS7FCh9hHdZ6KBtg0pB24nG2Jdmz+RSR7GMNlIwmy86gew1CVgnHbibp1kjjLk6A74cF5LGaPC3EHVL6eLUdrPQfZTzr4+WSTDicjFla6nNqPmbVvgQ3cQ0jYcS1u3cihOCeL92DzjTdfg+JINMZWjjGpiY53WhwamkZA7jRa8maSyTmEbQBTGFtk1mNyJr4to92RTqFsBZjHc7kyHQBJQ3GOJIkxZgi1inPCjX0cy/qis8WnEE4gxE51uT0Fg0i1FitSFVKBYvDoIUB4eFhkc4grcUaSW48VKqJRR8lBTorxtHGmHVl8bPRgGufDc5lOGOIGzGEGaZb45rMUA8FgZRkPcuJuE9j1McLKbJ4FShPwuAPqfRUERGnwgFQLdTjzmV49MlUjnYOJQTVtsb3fSIpCESI79fxK5N4KkTHKwhnMSYm8BzSg74QdPoav29RSNAW7fXoKcFXZMbJWgj1EJVrVufaOOPwYlF0JBkkkQw4lkCRD+1SEBIlwRqDNpaRqSG8ssQgAE1uA5aSBR4++WWyLGGJZ8gmlsGkSKOK1+ywYXQ2YmWuT1UPc/nGl/FjW36eCX8bYgC2rVjzInwBkQO/Qz332bvBGL9Wq7Jn93YWGw267S46czQXOpw73aDdiMl7KQE+TlikJ8GCcD7Sh4nNEVdc2DEl4gAAIABJREFUu5MkT0h7CcIFCCeZnhpiduMUSdontwLrQpbPL3Li6BxpJ6UWVhifqNJstUm0ISyXi3NBo4sfWC69ditb985wdmmBwK/S63To9/rMbhotUmuModXqsbra5+TTpzCpJfQihAKtDToHZ4uLbj8IidMU7RXnjOFanThJSZI+wjmkdYRBQJIY4jglTmJK1ZCSDGguNXHWkaY53VjTiUrMzy0wsbHEihY0+23qtSo4UNIwNlbnqcOn2b1nG8NDJUIVsdJsI91Gnvj6MUzXsrqS02q36HS7XLVrO5N+naFKwJHeApWhIeJeTKlcIkszpsbH8GXAaqPL1OQYhgy/DJe8eBszW6Y5d2aVw6cWmV8UWK/ERD1gw1QZmygaTrDai2HsWQv1f229IMHgoUOHyLKMHTt2sHHjRgDe+c53cujQIe655571TlWpVOJ3f/d3ee1rX7vOBRRCsH//foD1sapSiquvvposy9bHmmsdx1e84hXcdtttfPKTn+SWW27BOcf4+Dgf+chH2Lx587etLQxDfv/3f5/bb7+d3/qt31rnK91+++289a1vRQjBG97wBu677z4+//nPc+DAgXWC+xve8Abe9ra3rY9k18bgzjkOHjy4Lt4YHx9fB65CiOd16tb4h1/5yle44oorABgdHeWv/uqv1tf7p3/6p7zuda/jD/7gD3j3u9+9Pvb+2Mc+xpYtWzDG8OIXv5hPfOITvPa1r8X3fW699VaEEOzdu5dqtcrp06c5efIktVqNiy++eH1sPTc3t84FBPj1X/917r//fu666y7uvvtuZmZmCMOQNE3Zt28fO3fu5E1vehN33HEHP/VTP7W+H0dGRvjgBz+I5/1oX+IKKFp9tugiCYlfmmD/tZNs23kxX/vGg5xdaOKFHp4f4MmCAyZEAVqkUQhP4IRHarezGE+wffoi6vUxvECR9Co09ZWU3TFU7xA9ptH+7MB+A6TVZFJjxCiL8Q5m4h6bh5ZwKsFoH6UylEsR/YfpJOOMT1zJyZNtMI7AU7SaLVaaDbI0LUarwlIb30DevYGl5B8I/B4KjTaKc/NtYjdLUrkC4Qf4wqNWqeL7HqOjIywuLBZEb2Hp9HPKY5P4lWHqUY3U5ORJiukKeq2rCHvHGMsSck/j5wInU4RbpqzmscklA9BlUc5gnYNBBrE1lqyfo9MUHOTGFIbb1j4PnFnr1n3NjDPE8x6tzwQIX2HPlgnzAmBpXxDYFtXOSpHTPDRJHm1AWoHMIRMJ1hQXTNZYtC48GZ1ZA6DP+uqteRAKLUjnK5z6v32EClGrMPMSRTkqTsAWwXzfIaogAoFQDqHUwIC2ILsXsW8hvqygRAkBGGJyBDY3eLbQTjscfu7wBAghi/G6UoQqQIXD2KyPkB6IYkxmZMDhyNIdDtjU6rOrH1LTijySPO4sxydC/LqPLENVldEdWG11qMoKYTkgiED5rlBYrzXlnMMYickseb9QNA+NlglLEusswliEUIjAMn1plXsevYuHu19h9rIIglWsydEuxzqJtYJavcKmjVdxy/Qvsmt0H0Io1jYmKDwPBx9+pO/1/6hV+I4WeyNLcxrNVVqrPfo9TdLKOX30LGlPo6QE40C6gsogKDiuoWXb5RvZu38T5bpH0jP0OoY0a1OKFDOzIwip6bdS0jym08w5+sTAS1A7nMpZbDQx1hKWykgnybp9tM659NqNXHPDTjKXUKqU6HdSGss9pOczNFzFWEtgy3Q7TeJWH5PowuZIUlwIUtiqyVxC6FGpRqA0hLLgmxtFVC4hhEdUqRInGRUVoo0ly3OGx+os1Fs0V1uDJoHBpn2yOEBODLPQi7k4mmKh2ySpKVCWftLH8wrPUc8LaKy0mJ6pE9UFM6VRhupDWGd44oFnSNsJPopMRnz6/z3M9VduZ0aWuSgaZ7mVUfdKtNMUpTxwjuHhGlJ6LK+0cGgqQ0MMjdcIyj6bdoxz/uQEB7/yJF8+eISLNoyxcfIyIq3JTUZucugmA27sBZ/Bf1FdfvnlfO5zn2NkZIRyuYxzjo0bN/KVr3yFe++9l2PHjlGtVrnlllvWBRJKKT70oQ8hpVznCwLcddddeJ7H1q1bkVLynve8hzRN1zl3QRBw9913c++99/Lkk08yNjbGgQMHmJqa+q7re8UrXsFjjz3GP/3TPxHHMfv371/303POUa/X+dSnPsUDDzzAoUOH8H2fG264gT179qz7Ia4ph9e6mHv37uXv//7vmZqawvM8nHP8xm/8Br/6q7+6PpI9ePAgAK9//eu58sor+Yd/+Ad83+cVr3jF89b7Ez/xEzz55JN86UtfYmlpiU2bNnHrrbdSqxWeXkop7rzzTl75ylcSxzE333wzIyMjHDp0iJmZGTzPY2RkhE9/+tNUKhWCIFgfpX/2s5+lVqutC2tuueUWHnroIf7xH/+RoaEhbrnlFp566inSNGXHjh0AvPWtb+U1r3kN9913H6urq0xOTvLSl7503dvwR1vFeAb3LG9JDK7SJ8bGeeWP/3fmF5Y49OQTtNodlFeM/wpLDl2ICUy5MGcOFGnmSDJTqEcrJUyqIajh+SXGSotk/YfwylsxNsC4FKF9EA7nG1I7wcmFDWwYSYm8Iq0ELaCkqTtN3Po6pc17mdowS6vZ4Ojhw+AgLEXU6zWUVBin6ed9rLyM5Rj6ndPU8jaRWGa1HxOrTfi1DZTKFeYX5nnk8OPUa3XcUI2lhQXOzp0D5zO7eSsTm7eiyXE5SCHwfEsQBuS17aw0pxjvnCD0FEI5fJHhtGTYO4mXn0Rnw2jPR+icXAhc+SLi7mGyTJMmGjnwuNPOgrbrdItnAVph42KtxWpLNZuGuRmsS+n0V8nCBOvlRElKbfF+NsfP4AtD0x+ns+XH0aMXY52PcR5GFtSFIiO6MOe29rndwcJv0jqHRqNtih8PEc5tRDkIRYNy9ASVUBfRdVj6KkYEA0A1UDAXPMcigk1KhScDAlElEDUEkFOMR7VKcFagrIdIwVgfiyNHE1oPbQxZ0kXkGXnWKbwoHVgryJymP+mTzUacboW0T3SYiQVtAo5v8FB1H1WxhIGg1+zR7XUYnagTVn1U6FCBQ3liECm3Hu+BZ8FqjR8J/H5Av5cgAkvV9zFeirKAFlSDaXYNXUwU1zHHYnITY4dbWFOYao/obVwz8mou3XQLoas9xyR6jQTggIHK9IfDo/9PXwMCA84JykGVTaMXUaXDctakLTps2xAhrSTyi0g5XCEOElLiBR7jszWuvmEPIoA0yclljm4u41U89uzdhpCGLNP4SQssdExGu5IxtWWGQHooWXBsfd/DjyLyNKNb6+CE5oYbrmZ8rI7wIpzTnFtZoq5g85YZ6lFEv99lYuMGRKfOgluhsm2Ialij0+tijcMZR54loAUiFOzYuZ2xqZ30hcZTKUEQkmYZW8fqtOePMFneRr1awpQFK2KVzM9ha4Vu1CPtpPSzHJdrwlKJodEhVG0MF8yya3YTJ/UKshQwUfHQuSMMfYbELKvtFTYNz+JwZKmmo3psuXEXVTdK82wH5UD6ChP4nGg4pmc2YOI2s5MTTJR9EuXopxlSKZI0Y7wsiPtZ0V2XhlptiH6aYY0hZATyCq35JhuG68x1oF4us33LDibSnKHKND8skZRwP0i8xn/B+m5JFd8tzuxbf/dcu5LvlMDxneLgvl8U3Pdb63da33d67O91SL/b7daMrZeXlzl+/Pjzupbf+ry+WzTdd1rrd9s33/oY3+s5rj3uD7KO73UcfyTlwImCpyKRgz9SBUAsIrosCEemHWfm5zl26hR5XsQwGavJck2eG3Idk6Z9ut2MslRs3zRL6Eu6/ZxO6zGms89g82UW2wHZ8M9j1Ay5zjGZwOg+WW5I04SsP8d1u86yZegsme3iUk3PGOLEsdL2Sas/iT/+YuYXFokmJ6hWhvACD601vW4Pm2msLwiEh5DghEaZNjZZJW8fJTHDVDfdSLVeQSFwuaFSrVMZrrGyaHn462dJk4hS2WP2ogrbLyojXEyWa7IsJ+33iFst7NLnqHf+iakxSb0OJU/hK4UVkoPNF9ENX06pNkFQCvACn7B/DE5+gOz8f2dl8VYkPgObPrDPAX7WYK0uovjylDSLidM2fhDgiVLRtUw6dHsNRqvD1DsnuXz1AWaHfIKwQmu1wdPly0kueu2AwOchhSsAm3WDyLgiC9oMtmdMjjYZeZ4Qmx7tTpPID6mUhnAopFjhf77yLkrlBOmFYDSfmWvwxGZBMBkRVtRASSxRgUQFAYEfEnk1QjlGKIYRQEKHXK8QuxXsIvCZBkMPZlTaOeM7YOJSKJUsQRCh/AiFwtiUTCdkqaEdOw7nCSeuGsWMFFxELwW3krO62keNl/DrkqBU2PXEvT6dhYxKLUCVLDIQKM8v8pilGzTrChCCBWMERmtsashiR5JkDI2VKdUipO+gWyJ68sXsCl7EeH2G1W6TY+lDZHu/Tlguc2n041xZeTlVNYZ0/vroU7o1NfOagPaHk8DwX6MGXSJXHIectFDfWjkwNS/2mhicm9b2Y8ECHQBq6RDCgCvmG4M7IoQbcBIl63dkrQPuwIniccXa0N4N/jFQvFqUklhhEdji7s4b0FHEwL3VFEIvZzEU6UDFs1o7xuJ5T1MJg5QOIzycs8X6XGG6bW0h+ipy3wcRfQiwcpCgU1AMpCsEUTCwPpcGJOh1mx4LTg4ee7A/BvvLiuIiUDqFMwNRiivcC+RgH0hh18WF7tndNjhMxVrd+mO6dR2QQLCWsSLsQNM2+LmUZkBFEij1fEeSf2m9IDuD8O1g4XuBh+/0u2+NefuX3PYHrR90bWtff79tfOvtnHOcPHmSRqPBli1b1ruA3+85fr/n+s95jH/umr/fz/7dSqxdmavnfC/Xv14juAce7NiyhdmZGebPn+fs0hLtTrcYZxoLEpQL8JSl01ulseQThQFJ/yw1/RClqEvfSUIvQ7CKCbcXGzAa6wTCeHjCIxZVVuNhdk20MDpFG5BO4MuMyNP0+qeolW9iduMM2ncI36e10iBJcqJySKleLYCT9AbKXIczY+hqjgs3YVotCmqbJChFlFSICkLi1PHoNxcxdjOVehmrBc88fo56RTI5q0CYwstPeggVUB/dwHg4yvlzc+S6UBYGHgiVMCafZrX9OJm4GieHcTiUP4sJ9hGnAVpbJJpCHCjXbSecswMD5CKzWVuNtjlKhFTCWnGMhMLzIvq9BnHWJeitUBKaIKpRqVXpdZqE6Qp9owdWLgXYF7CuxC4A4UBF6/QAHBpyl5GbBKMt9ZExAhUWf4ZFBc+vEoVlVGkYnfUpqQ7CZsWDMuB8iWe5js6BKcxAEHQQSHJijDDITJF/aomdn3ZsMpNYp1l+qEE8rLFbPbTICI3GCgnOkGlNnkAzcyxMhHhjAUS6SBeOFImw5FbiDwCp9BzSdwSRR1TVeCWJCiXKF8i1aGElCu5rIYzGGYFQIJTESIkvDNZF5MtlZrmERDU4/2jGxfEW9lx3GdPTMzRXVkkejwnzzVw5eh0TahOCoAAB4lnA8mx3cO3LC0Dw2VrbOcVEImAAFP4ji6p/CGv7jrKh9ccNv8vPv3cF/9xF/FuiqR/B8XvBgsEL9fzavHnz+ig2CIJ/f1D1AqnA99m6aRMbpqc5OTfH08ePY5zDWB+jNAJL4BoE+VFcv89ktMBIfRmnNVJYlBQoL8UPgiI5RBmEUTihsVIghE8vC8jUGNg+Qhg8kWKEQ0kNSYvAc6jsFOny1zgd78KVL6JWH6FcqhD4AYQOIcPiSlcInJE40wccnW46OBEXV+5G+khpOXVkjvZqxOhwneGxCkk/JW+UWVrsMTFbRTgP4QxOOKTQKCR7dkxT8mKePt6gVBUMlXx8D6SYY1x/kWz1GXJzKVn1cnRUI5g4QHKyh7EaZ92zQgI7AGmDMbG2uujU6YRcZ9SrI/h+hCjkEkTOZ3J4hrOrZ4jqEedbHpVGg/5qi4YR9DeN0pdZYZXhHHpwYnYIsAVgs7aAasZotLXkOiPLM5K4z/DQCKWwXHQvoUg4kQLPjwiDEVInGPI9bK5xWhQ8LmPBCpwrotiszdE2QaCwolA1a2K0TUmWDeq+DhP5FKMbJsizPsmC5vjiCmzUKA9K1lF1mooRkCl6fc2RaobdM42MJL7nD7ozkjQxeL5f2Np4EukVQE95Aj9SRbfSX2uUqsL/UK4JoQadIgnK5Aih8JxDhAbrYDbYwys3/BoLzXN8dvHvaJ9+GnXVTTjnqA1VeekNP0a1Uiv27gUe4IW6UD+yugAGLxQAExMT3HzzzRdA4I+4xGCcUPID9mzfzqaZGQ4/dZSjp06QZwLrFMOhx9VbgaxBJ02I+xWyPCJzPSDG2hxhTTGac5ZU5/R1CsoSVeo004ivHStRKylGo/NUbIM0TYmzBKeXyZceIAob9NMGvqoTDteJyjXCwMdXpWKkJ0OUyPHyJfJkgTQ9TznNKJsMaXYgXQTW4kjBSHqtFsYqEpcS9yJ0XnTplCfBumIA4gpRhzUC4RJwGVHkGB7xCaOQ4ZLCC0AKy6hdIdEtWt3HacVHSIcPkEVTaL+CNgNDZWmQtsBnzrnB2HYABE1KmqVEQYUorCOFV4xbcBgBteFZSukqtYtKdDPJ4ScO41uL2n0R0eVXYo/F5MZDi8HIhrUm3qAjaDXWWXKt0TYjM32StItwivGhKZSICgsUHEIFGFuY4VoaGNtmKhSITo4d87DGYawEqxCmGE8ZqUEkWGVRoo+A9Q5kHPdAWXJr6K+2McYRy5Sjs4p4gyT3NNL4BLkmSnLqucWWIbtmCj0G0rd4Qg2iy0CnDs9XxYhNDrQaHggrkGvdQE8gfLHufyjVwAeRwnTaSo1VCqGLQZdyAhk62vk8xhdMVneibIx8/DiNpx5lavsGytVqIbtyhajGFtCXF7JdzIW6UD+qugAGL9QPPKq9UD/8ErBOIhEOqqUS11xxBTt37uDQ40/w5BOHKIWL5PkCpq841bmKLNyC8iHP58j1A5i8DElCmqW04g4IQaVawVceQimMgFU7zkqyhdPdM1SSw9T8U1Q8SegtYZf+lrao0VDXEU1voxzW8YIyMlLgCZTw8MwSycKXyBtfoe5aDMkUJwQjfkCnNYo21yMmb8L6w1ipGBkrcebps/TaFUwaY7XDyiU2bJopxrZu8F87rMlRbpn5+QWWV1qMDpeolV2RnOFLiqBhSclAqZQQ9b/O3EJMP3wZSW8SY8J1AGidwRpRjGtdwd/LdUqWpYR+xFB9vMgfRg2AuCNwlkx6RF5EFORMvfhmygcOEHmSvpEsr8RYm4HOcdIh1/hLDtxgHG1coSrOTToAgj201myY3EbglcEV8XRgETLAZCmp7JDnLZzLGfIt5cU+vckSNlQ4D5xyWJWDLnhKDouwBiOKdA3rihQbv2qZv8zyjXiZS5oxmYSnLumR3VDHrxXJMVJ7YBxdo2lMWERmqVmoihCUKTwMpcJZW2TZBmrAHSvGjUIU/Ku1TqFUhVBMyUJhqbwQKTyg2PdGJuQGIMfZYtTsa4+uWubLx/+a0e4lDE1Nc9vvv5GpXZcjlQ9OIIVZHwlLV2QwX2gOXqgL9W9fF8DghbpQ/94lvv3b4UqFm/dfy+UXbebccUO63OBUewxTfTGV6ghKWPrRJrpZgHUTZGmPXjdBhT5RKSQMQlByYFDssC7ABgFZXqZrx9BUmCgfpSRjrIN5PUQaXUoQVRBhgOe5AocpnyBZIj7xN9TTBxgu5fgBKGWxAkQuSPUZGsn/pXN+EW/mNvLSDFOz08xsW2Xh9JN02yWc8LjkqinK5UE8mdZYnWOzjDxZxCSnaGYdyuWAetmjspbFKy1ChDgL2oCHwokUlz7FaTNMnl9DYqewViG0xIocZwtDZm0zcp2RpzmBHzI8NI6nAqSQA477gLTtKLKLnWDpfIuZ7jTeSIhxiiTJ6Cyl9GOBsjkeGUauUcPBukHCgdVoo8l1SpJ1yTPD9OQWquWR9e05ZwCBUpIkzxAiRWgNTqEzx9YMluc6iK6PGfFxYyF2SOECEMZihUWKIgJR4ApunstJMom4osTC9oDukkbUBewewhtzSOEjVUFqN84Q5goVKZLUsLraJTOGiS3DSE/ii2AQdddkTRm8Zluxxtdb4wXKQQ6zUj6ejAhkFSkCBKBdRg5FJJ20GKWxpsiKrtoyyrNcvuNSXrbvf+ATFVsRZsCtlQOxAoMPF0bFF+pC/SjqAhi8UBfqP0A9a8qx9kUxJBsZm2F09H8Td15G9tQztFYV1UoVlAHnCKu7abX6tHptgqBMWC3jB4rAC1FCFBM2J3FWYESOJxWpmyDuXcFSlrB9+DgCR0WPEYRD+H5YcMNkgFAekV2l9dSdDPMgIzVHKQjxA4OSrhAoGoevBZ4fo7r30V6q42Z/CulVuPjqS8HMsThfQqoqC2cttaGUoTGKTOYsI8v6pL3jkCwhQ0Ol4lGKKFI4QkUoIhQhhhStM4RMKeNjywkjzYfoZKPotI5GFbm0FLYpudVonWK0plqqMVQfQ0pJlsfk/z97bx5mR1Xn/7/OObXce/v2ns7e2feQhEDYBcVhEFRUdERm1Gd04JHNuOE2ovIAOoO4MQozAwISERT0J4siKkIExgCGJQHJQvZ00p30fvvut6rO5/dH3XvpZhNHccRvv/N0+nbdqlOnTp2qetdneX8qZYIwqFfwUUZQVR2x3u4Czz65mxnzJ+C4msG+Mr07c+jSRDzKVEyIDlXVdyooG5OfMAqoRBXK5QJKHCZPnEE61UwlKFGpxLGK1sZkUJsRcqUKEoWgoZQvMlIuM9/3WRQA/SHF/oCDe/P0z2ym0JminAxxrCbSQZyljiDiUs5HDOwbwWv3caZbwkM9HDeu4ayNBg26GmForYM4Etc5dgyB9ihliwx0a6bMmYZnkjgOKHUAEfvcvBxVykXF4oeINijloLSDMR6uTuGSBixa5UBCRFUIid3xqaiZzobDWDnpFKYnDsXBr2aZWuLoeEM9Z1TVBZrGaeA4xvEXwjgZHMc4/gqgnvdHnOlaXa4cUk1zWXXEXMrlMr29vfT09GAthJGQL5VQ2uA1+Hieg+d6OI6D0WZUVQiLiqryMIBEE+nJz2F68zBNXgZjHFzXwRgTu/uM4GjIdG0gUXmG1hZLMmFIuuC4Do524uxUJyQwFqWg1UaU8w+TH16EbVxBZjBiuK+ddPM0XNcnKOfZtKGbuQtDPL9CFFUoDe/Hy6zHT2Zw3QjfJHAcjWPA0ylcvxXtJFBBGfQQgQBGKJs2cmYWI1GaYjmDEGvrYYVQAqIgwBhDa9NEUl4jhUKRYjmHjcKqS1RTK6tmI4uEIQqPluQMencM0rNzJ1prbMlglCHhDhI4DjgejgVULPugQkuZgEqlgISWdMME2ls7iMKAgYFuIhuhq3WVa3nm1oYcGA5JuRUq5Qq+LzQ2NJD2BBNL5hFZmFgRurdn2ZkvM7wwjfViS1ucoKGwpYD+/SP4boJU0mCSoD2NccAYhTK1FFyF4KJthEQKq3XVwqfQoskNFBh0M7RNcAlLEcpCVALrKcRTVekQG6siYdHYuIZztcyXUgaFi6ERRURECasUlgTpsJF5+lgO6fh72p05OJIcKwOjzJiJX4sO1KOWjWMc43j1MU4GxzGO1xB832f69OlMmTKFvXv30j8wQCks09DUhOu4uI6LYwyucTBVcheLI0dVUgBOFBK5LhXTSX+xm9Z0iBsmQMdVL+qaY2GRQu/vmJzIk3BdPDfCcw2ul0K7iTiJISygiHX9HF+RLg1QHHyCsjOH3c8OImYByYYUzc1NDA8YhjI5hjP7aEwXqYQRUa6Pdq8Sy7UYB1fHJdG08tEmheO34iabqBQHKVYK7B+0dGVnkHWOIuyYRqGli4NDm1EITuQT9jeQIEVzwwQaGptRStGfOYASwXE8PLchJry6Jv+j6hmw1goJN0XKb6RQLmCM0NLUzFAmw0i+nxEq2NYAp6GEFkME2D4fHTo0plpoa5+MZxrIZYexUsFzk7huIiblumbn0kRG+B8rtA/nWJxO0dHo0JhQ+C442qBEESAEbsTUosEeKLEpZShN8Ykc4kSNSDHcm0fj4aU8dIJYANq1cVKHo+IQAV1Nk5E4O9kqUDpCaYgCEyf2BELf/l6Gegfida3FhkKlv4KXNzS1pTCNGishIk5cXYUAKy7WGiIbYFWRQGXi7SNoiTqZxaEsbHodTUyJXzBEjRcKGcc4/koxTgbHMY7XGJRSOI7DnDlz6JzRyZ69+9j87LMMDA/HVihjMI6D53n4vo+IUC6Xqxm2gtEa4yjwEgzkO1g8pYCx3iiJWAChXMygSntIJC3GqLhd42DcRtzUBDRCpTRMECpK5SyFbIWgEhBET5PrnUxxKIWoWdhShbzOUgnLKMnR1pIm0ewTBSGV5FIqeU0u9wAp2UsIWFXth0SIja18A30jPNtVpjs6mnLTKrxUBw1JB3f2FpIzngVHozIe9ql5NOankjRNBOUK+arAdML4uDqJMrHFNE4g0c8pumJBLI5VuJHG0R5hJaBSCWmbMJmmpkYGZDe52TtJzO1HlIMe9tAb5tJamUvaaycMyowUDuK6Hr7TEpeQ084YqyAoArdCtsWnQ3u0NbikXUg6CuN5OG4Sg8GEJUxUAitMihz29ZQYatQox2A1RIUypZEyTe2NGB+0F1c9MI5GudU5UJV8ARVrItoITICqKHKZEtn+AKMdUk0JHKPRRsU6kqoaCxm6hCUY7CngDAnN7SlQtlpqT8U1iG2FMLKUdIFU6DPJLmC2s4rp7mKSqg2Iya2yIFoQZanJ8Y5jHOP468E4GRzHOF7DcB2XebNnM2fWTAYzI+zet5f9PQexIniOSzrVQGgjoiiiUqlURXsVohXKRBQKPqKa0NrBhrXSarE+S1AuomxQrXEriMQizUo7uE4KAbLDQPPCAAAgAElEQVSFQfZ19RGEFbR28HyPqdEAzaWfIs2tbD2oyagTMOU0QWWEZMMQze1TUG4IboTr+BS9lQxXCrSVe7FRidDG1ViiKE+lNER+MMO2PRl6zErKrceQSnXgeSmMp5gwL4nrtoLrQFAhmjVAuMWQ21hAij4JtwnH8XG1h6ddlIlLuylVIyTxT0yCI5SNUDqMrWfKEFRGyBaGUDOGaFzeRWsn6IY2jIoIK5Zo1gDR5t3kN4MtCb6XwnVSONqvE2it1Kh9gRiHZBTSrhUJN0K5DriGhNtMItFC5DiYYgbKg0RGSBhFey5gV09A2KCJHEtxpEgi6WJcqdYGNvGxGQftxIkdxngY5cR1lMUS2gqqpOk7MEx+OCCZ8DBJFesJGkXMWWP5GysGiQTHB7fkUimFDB0o0Njmo9zYIujY2L2ejCYwS45kgft6Jrmz8EijxFQr7oCtJusoEUSNE8FxjOOvEeNkcBzjeI1DiCVA2luaaW9dzrKFAT29vfT09hGEcfWNerIEtlrNwqCqdWutxNp2QblEFAVEUUQYWaxVBKFLKJbImqqlLsSGRSqlIXoHMuzt2k3SF5oaE/hOLWElojUcpjk1gqdu59lMgWh4KkYVWHzkEhJNCokcLAoJhNANCBrmMdTXQkvQg18RAhWhVJkoyLB77wj9ehWl5FEkU5NI+D46CY6jSXkeknDRyiFCE6QDCuU8mSdyNLlNJNwk2jE42o0lZbSqkkFVjxmslekS0WhVtRoSYLWgVJJiJUfU2kt6SRG3weAasMYgoUPQVCYI+xjanCbtTsF1U7jGw1QttFo5cY3hqkQLKMS4RKEioVwMglZx3J02SUi24TgeYTnAkkF0XMe5qQKyOctge4j1BO1qGlp8tAtGa5wamTOC1g7G+LhOMs4QRiFEBBWHrn09FIYrNDT4OEmF8WK5mFoFkZi0KUScuK6za6sVSFzKxYjsSJkmV5OSFJPc2SxOn8Dc1OtoU53oeo1giS2M1axgXU0PFjSqbnkexzjG8deEcTI4jnG8xvGcPGT8wfdcZk6fxoxpU8nm8nQfOMie4j7yYQSRYEWho5Aosmg7goQFwmKBcv4giXQbjlum4oAxDRRppRR0kww01oHAlKDs0j9coLu7l1RKk065+G7setaqqohnFdr1OWzl6zh26t9T2Jdj45rraH7kIOqEExkISpTKRSTUhLqMIkUhuZK+YgbfFInrk0I2lyUftZD1l+OkJuH5HsZ3cYyDNgrPd6mkfBytiKyLLUf0boxI2jY8N4lxYletMXESh1IGrTVGqTGlzUSkGjcIGImrhERQMRbfaEa2tuIeVSQxoYRxYwuXCkKcqImBTU34lQ48N4ljHIyuJuJUXcRKaUzVIgsxkTS+QxQIWNChQrkh5UqRge4uMrkclVIGsaU4kUI5lCNFkDSgQ0o5RWObizESV/6okkylVFziTxmMTuCpJD5NaBwCKdJ/YB/54QKplIuX1KhEraScoIyN5WLEoSqgiI0UUZUkamUwuDjlRhbKcRw+4SSmJ5eSoHlsHKDU3OEWqU/MmkCNjCvFjGMcf6UYJ4PjGMdrHi9SI5o4Sq25MU1TOs28ObPoOdjL9t072dPdQxRWqAR5WqUXJEuUyxBlPErNM/FMAq0tOAnCxBKGitvwExWUpwhDjakU2bV7gMaGBlJJIeFrXNfgOA6OimsDB1FILmiheeoJTO5cirQUkemzOPjAAxyQCHvkKhKJFK52sDpFGIQofQSDeUuU30LaBjSFZQr5QXJqCuJ3xskYjqnHLjqOwvWS+IlGXEco24ih3wbobdNJqjRGezEhU9UfXa2WoTVaKYyqFdKLq2aIrYlJV7VNNLjaRRxLsjSBzIZh2hcCSRBtsEGF/OYmwu0dpHUKo90qEXSe20/1t6FmiYTI0SQm+gxlAnLWwxARloSB7m4sFi/pkvAFIy6hhUIQUNRCw/QG3AkpujYPIo4GXS2/V8v6qZ11FVsTtXJwSGBIUMoX6d3fjZfUmJRCJ4jrDps4+1hpjRgFOgJxwFqcUKEDB0elmJJYwIK2o1nYfBwNegIGn3iQGP02Mmoq6jGzsl5DeJwIjmMcf5UYJ4PjGMffMqpCcY7WdE6dwrQpEykUS+zeuYcnnnyIhlzAYCZDUM7TYreQ619PoJYjqgOdStEw6XD2bH2ChLMbJwJJOQxlBrDW4CUMrmtxHI3n+nEcn0qCBOggx8hwntyu3fipJURDQ5hcjkZdZmhgiIZEG6GvyGezVIplREXgpHGa38hgdDT9kscp9qDCXVRUB8ZrwnFMbHGrWvmM0biOotFLkPQayGTL9K3vo7kyASfhV4lZ1VqmzXNWQVNtR+mqJRMia5EoQkUxERQM2gpWx7F4TtjIyLPNSM6huc3gaEM2KjO8UdFQbsJ1dTVrOHYL1+RkTDVG0ZhYdBkFoaNpmd1A7z7FYMmiJaSYFxoaEjQlDZ4HrgGNIbSQDDV+UcgNFNjV6BCqCBNJXfsvlgGs/ouZLWIjxESEUgY03fu7QRSu56FdQTsq1hs0oN3YymowaOIkEY1Pm57NnPQRzPZX0uJ04pKualGrahxgrHg4bu0bxzhe+xgng+MYx98oZJT7uPbRKE06lWLZIUtYsmQ+xewJdG//LWrfA/jZvRTC31IqbSUKlxPKITipVoK2N7Jt8D6iaB8tNqS3P6K52UebKI5X0w6uSeJ4EzB+EzYsYkTR0ZThgV//NwfvfZyWfJmGPV1kJcR0tBPpgKGBLFYpEg0JfMdDuxqrAWlCQk0UzKRcXEoxN0y6rgtYtXppFesARhqLj0iC7P5hwoNxjKCqkjGFqSeMPEfQTEwsHRPrLoqgQ00IxFKFglKCxEF4aHHwTIAz0kRmd5GmGQ5goKAo7laklQvGqVsca67hmiXScRwcR6OdOHkiMi5+i0EOaWHz4/3MzQkTG1KkUkLS01WXeyzEbKIQbQKsgtkFn96uAibUcTxfZLFWEFu1Zkpc9cNasLZCYEsx+QyLDAwdxPEUjhvhOoIxBmVccOIyc55O4ksTLXQyTa1glr+CCWYqHs0o3OdE0RVARBxbaMaVoccxjr8RjJPBcYzj/wHUjTfyHDHUWpNqWsCCw2azYOU/UizsJnvgd/Tue5Teg4/S37+bXOoEkpMWkgldNvY/wsTsHsJcQGurrgoQmzhBQWm09jBeAghBOTQ3KeZ1jtD/xC8JG5soLIWKaGR2gt6hXny/mXRDCsdTuLohjuNTcQ1e60FgHZTvUcpHdVmW0VAosgcKZAv7UFrTu20Ex52KClRcV1erOHmDKklDxeTV0bieg+c7aKOJbERQjpBYMwVtLVopQg1KNAaD1bGkS/+eEcyeHFZrbK9PFKZRjkbjotD1LGVVJYXGGFzPwfXi3yKCKIdywdK2dBIH+4UJ2zPMaADfFTzXwfWSOH4TSjlEQRZTzhJJhVZHMzln2SSKYhCRDhU2jKvASCSgLWhFFIUoLUioiHSZKG8JygW8lgQYjRhAa4zSJKIWJuoFzHJWMdMsp93MwOAjOGip6k0qABvrMVbdv6ouyVODZhzjGMdrF+NkcBzj+BvFiwn8Siwlh1VxwS9tNVYb0JZkagnJuYvomPtuFpa76e3ewqZdB9l2oJ8Gv5FgwhIO9jp4QUAUZOPauFGsXxdFZcJKhkgqSFQirOQ5mMmiWmDa3yfw/QhtLFE0kZ6ykEo2kmhI4bsJjGeq+n+CIwqxeaLSQfzSAE5UokgZbWcBifgYRLAiWGuxxpLPZcAY0jMc/LeNUNq8E7t9AUiKOHYtdmdqRd1C6LqGZMrHTbgElZCilGJpnbCa+QtoUWiBshNRat9BaulunNkFcrkiogHjkj6lQGWTxttzCJ5t4bnouLGE0Eu4pBqSgBAFIwz1ZGkwQqWSI+nFcZCOVhjt4LpNJFJTUI5LOdeDhBXcKMQ1Aa1aSFrIFoVyMcRPaWyVFFodJ3uIqoCKE3Ai5ZAdylNzAhtlSNlWZqrlzPVX0ZlYQrOehkNDdZRsVYy7hmrwZH0iWRBTM0TGmcLjpsFxjOM1j3EyOI5XFSJSd++JxM4mpdQL1nmp5c9f9mLb1aCUesGy0d/9sXipfr1abbxY3/+Ufb/YM7qWZ6Brlhwdk6RqEVti8pTGTSxg2py5TJ0d8vqKovfgdgYH1rFnyw52bCqTLWqaQqESWpwwQkwRRDBBLEXT0zdIZqRMY9on4YNnLJFJsGt4EaTm4yeTeK6P8Vwcx+AaF6MK2OHHqRz4DX6wD1/yNKiIpE1QHphOwJFo5zgwBmsiwgi8Bki5CYxSRAheUxFvYg/5BoM87aGjKoGklmwh1UIgKo4FdGNZnbjmbmwFk2qegyhFZIRKaxf66O34nXnctMI4PgA2UriNJSotPRR8g799JY74KBWhxaNuQlMSx+Q58ZjryJBMePR291HKVxhKJOhxFMMOtDmGicbF0wajVNwHBYhGi0GrAGXABkI5GxCmPYwfZwRHGlC1km4Wa0u4UZJwyGNaYinzW5ewsGUVM9PLSKl2DE6sG4mu6izWqpVUx6OWpTxqMtXmjxq75DWFF7tvvNT3f9L19xrHHzsOf2hcX26bP3WcX66vtfn8h54/L4bR6/6hdv6ceP6z7y+xz3EyOI5XHSJCsVikUqnQ2NiIMWbM99lsdszkdxyHZDJZ3/alLgARIZfL1S+UdDpdL78GkMvl6vp6DQ0NOM4rn+41qZE/5eKLoohcLofWmsbGxle0TaFQIAxDkskkruv+r/f9ivGCwxu9INbjc33L1BmLmDpjIUuXn0kus4/Bno0UMhsJC1soRr34pQLiFEFXyGYDhodKNDf7NCQF3zUoxzActjFoF+Ol0riuh+O6OK7BMQ6OyhHsvhU/8xsmJIskEuAog1WCtRlKpRyDmV3kSr3I9DdjnXYSkUV5Cj+VwGiFxRJWArSKYMVeykNNuPtiaRXQcSxgtexcFEaUSxWstURhRBjGUju18x57jCPKyT5k8WbcGXkSaQc34WAcF1QUV3NxFUYFqKUHKQx3YfrTiPJwq+XfxAo2sgTliKIuIQIVG1AoBkCF5Owm9mjNPmVxEBybozEoMzubY5HTQGu5iAQhEkWUxDKiFNrX6HxIeTiilPbj8ctEpAuCG1Ywno87aQYTJi+mM7WYyUsW0ebOIqmbeC7LV1N/BqrnKN/LPRhfYsK85lB7oNd+/6nX+d8qXu7l+uXW/2PG9c91Dp5vcKih9vf/9nz/Mcf/58ZfknzCOBkcx6uMQqHA5Zdfzk9+8hMKhQKzZ8/m4osv5vWvfz0AlUqFY445hlKpVN/G8zyWL1/Opz/9aVauXPmSF8GePXt461vfSrFYxHVd7rzzThYtWgTAtm3bePvb3065XEZrzd13383ChQtfUZ8rlQq//OUvOfXUU/8oAvl8PPLII7z//e9n6dKl3HHHHS8gwS+GM844gy1btrBmzRqOO+64//W+/7wwdQKhdAPNbQtoblsA8g7EZigXeimMPEsps4H84Fb6sztxkmlc/7k4OMd47MtNI3Q68J0GHOPjaIOjfFwTUtn/c1Ija2lLlUgmDY4bgbFx4kJkcByFVyrQl/8VIz1JzLTTCByDbjD4fgrPGAKC6s0zgLYK0eweou65uOIh4hIKqBo5CyKgQlAOsVYIgwgb2dj1LEKEYIFK635s5zBOUqF9B9dz8bxYvLoSRkAZCSvQkSHs7CIamI22HpEWsJbIWqLQUikF2CgW/A50iMbQ0JhEexZlpFoaTxFay2Co6Cvl2FLIsMgKs5XCjyIKgaXfU6SmtZHpGsQWLVFPRMeQz1w1gZnti2mdcQhtkw4l0TID47ZicDCiAanqaysiYMf2bfQdPMAYG59SNDY2Mm3aNFpbW/8mCVIul+Oxxx5j165dJBIJlixZwtKlS8dc58PDw2zatAmAlStXkkql/q+6+3+KrVu30t/fTzqdZsWKFS+7bj6f58knn2THjh04jsPixYtZtmzZi77QWmvp7u7m8ccfp6enh8bGRo488kjmzJnziu6RL4Zt27bR29uL7/usXLlyTDsbN24kn8/T1NTEsmXLxhC8MAzr69bW6+joYP78+RQKBTZu3IiIsHjxYlpbW3nyyScpFApMmjSJefPm/a/6+lKQauiLMYahoSE2b96MUopDDz20bhx5NTFOBsfxqqB2wX3uc5/j29/+Nh0dHSxdupTf/OY3PP300zzyyCPMnTuXZ555hq1bt2KMYdasWYgI+/fvZ8uWLdx3333ce++9rFy58kX38fvf/54tW7YgEmdHjoyM1L/71re+xZYtW1BKMWnSJCZMmDCmX6Mx+o12x44dfOQjH2F4eJg3v/nNL7nNi+H5b9KPPvooXV1dHH/88dX6tC/dllKKwcFB1q1bh7WWqVOn/sH1/zIYVTXi+X1RPspMJNE4kUR6EUw7FWzEtOx+SvmtBLmtUNxJGPQj2tBd6UQ5aZQjaAWRAdeEqOwOdO+9tKQK+A2ahAueTqCNRlBYXaFsKojWtNqIUuZBgvShhE2dKBRJP0XSS1IMC9gwwmrBOArTnsHqChLEMZKCRUdxRqwI2DAWWo5rNkeEYVy2T8QiYomICJsG8RMRvjLgOLieQ0OyCUelyJeGsWFA5BiM50D7IKLKOGFEqDVYiwoiAhTWWsIgAqDkVEg0W4ImqlVKQGmFoFCRJrJACgopeGwkZO9QwPJA0xcGZCa2MHPKQmakkjRUJnDolKXM71hCS/MMMA3EZUTih1v9vFVJINjYa20jPnrBan55773U9GlGW0va2tq49NJLOe+88/7kEIkX2/4v5YYdvR8R4eabb+aSSy5h586d9eVaa975zndyzTXX0NLSAsCPf/xjzjnnHBobG3nqqaeYMWPGy/b1D1lunm/heT7+HGPwSq1dL9bX0ctq7YRhyIc+9CEeeugh3va2t3HHHXe8YP0afvKTn/CFL3yBLVu21JcppXjzm9/Mtddey6RJk+oVfwYGBvjXf/1XfvjDH5LL5erre57H+973Pr71rW+RTCb/KMudtZbzzjuP+++/n0MPPZTf/e539e+LxSJvf/vb6erq4swzz+Tmm28GYkL6wAMPcMcdd/DNb36TQqHAu971Lnbt2sWFF17IFVdcwcMPP8zJJ5+M1ppHH30Ux3E47bTT2L9/P5///Oe57LLLXlEfR/f1pa6HkZERvvSlL3H66adz7LHHcuutt3LBBRfQ0tLChg0bmDFjxv/aevpKtxsng+P4s6N2s+jr6+O73/0uqVSKu+++m8MPP5x3v/vd/OQnP+G+++5jzpw5rF+/Hmstq1at4re//S3GGLLZLO9+97v51a9+xaWXXsrtt9/+ovtZv349IsLChQvZtm0bhUIBgB07dnDLLbcwY8YMDh48yIIFC2hpaRnTr4MHD9LU1ERnZ2e9vSAIuO6667jnnns455xziKKoKhOiqFQq7Nq1C6UUs2fPHmNJCIK4hJvneWSzWQ4ePMicOXO44IILOP/88+tvxyJCGIbs2bOHcrnM9OnTaWpqqt+En3nmGXK5HHPnzmXGjBn15QcPHqSvr4+GhgZmzZr1f2CxqbpgVK2OhKoTjTjD1FZX8UBrkk0LSTTPB05DSwUYxBZHWNZeYHgkScFGlCkTITgC5f7f0egM4/ngOwrHc3BNA8b1ETFEYRkqOaxbIkwENJZ72df/EMp/C5ENcRVxJu9z0XIoSijtE+gSnhVQEUqFWAxhGGff2qoUTJyQUrXiWYutlu+LKBNKhYQqIyTQqGrIoQuYajatgFi0CNZEBBIRSYBYhSgTi7AEgo1G6QzaCn7Cw3huXD7OWNCxFVQigxspMJpIubhOE8n0ZGibztKWeRw5fSFTmmfiqEYc/DhRpa43qFAyKsNX1dI7pJ4JDFAolPj973+PIExob2fSpEmICOVymT179jA4OMhnPvMZTjrpJBYsWDBmJvwxLquXWmc06fhLQES47LLLuPTSSxERXNdl3rx5ZLNZ9u3bx49//GOMMXzve9/DcRweffRRRISZM2cyefLkV7SPlzuW53/3x8ZG/yH8sa7Ml+tP7XM2m+WZZ55BRDjyyCNfcr9XXXUVn/jEJ+oWrfnz51MsFtmzZw933303Z511FnfccQeu63Lw4EFOOeUUNm7cCEBnZyednZ1s2bKFwcFBbrjhBqIo4rrrrqvfd18JSqUSGzZsAODwww8fc2/euXMnfX19APXjqFQqnH/++axZs6b+wtPd3U2pVKK1tZVjjz0WpVSdVCaTSZYtW8azzz5LFEW0t7dzzDHHvKK+jcZLzft169bxnve8h0wmw/nnn4+IsHnzZlpbW1m8eDFTpkypb//H4o+ZG+NkcBx/dtQmbUtLC/fddx/d3d2sWLECEWFgYACg7npZv349EF/EtXi/dDrNJz7xCe69914efvhhCoXCi7pqHnvsMVzX5cgjj2Tr1q11Mnj11VeTyWR4+9vfzo033shhhx2G1pqhoSE+/vGPc8cdd1CpVDDGcPTRR/P973+fSZMmcfrpp3PfffcBsGbNGkSEq6++mh/84Adccskl7N+/H6UUixYt4vrrr6+7Tv7u7/6O7du389nPfpavfe1rhGHIb3/7W84880x27drFPffcw6pVq/jFL37BhRdeyO7du7HW0tjYyBe/+EXOP/98tNY8+eSTRFFUd3Ps27eP888/nwceeIAgCNBas3z5ctasWcP8+fNf3ZNYhVCrylGnhPHfKpY6RnRVe86p0kM7KgYtAlysmoRKTGHBTKGWjVqxEWEUkSuXGHGORmdDTHgArYdQIoiXwiSrVS6K/VQkjy0ZwnKIisro4u+pDMyh3DREWCoSBiEVG1AJw6prVmNzPhJBJGW0TaKUYKnGBSpBWfUcrRXBIjERrFobhIhKHiqBwhWHRBBRMUKuOIxWmiAqEoYQRYowqlDJufihEBDhRrEJ0iKItYjSRNXklECFaF9jPBeDQ0JSJFUjvmmk1ZtMm5pBq55JW7KTJtWOp31QPo7UXG4KNTbgr2bfqxLCWBRaYVESu4FFCap6bvZ176X7QDcK+PznP88555xTj6W6+eabOffcc8nn82zatKlOBrPZLNu3b2dkZISpU6e+wKXX1dVFEARMmDABay1btmzBWsshhxxCU1PTc/NJhO7ubvbs2YNSirlz5zJx4kQAMpkMAwMDJJPJ+gMwl8vR29uL4zhMnz4drTXDw8MMDg6OWfZyeOihh7jiiivq7r41a9ZwyCGHUC6XOe+88/jBD37AT3/6U7q6upg+fTobN25EKcWKFSvI5/M8/fTThGHIsmXLaGhoGHMsXV1ddHV14bouc+bMqXsgamPW19eH53m0t7ezefNmstksCxcuZNKkSRSLRTZv3kyxWGTx4sW0t7e/kkuyjjAM2bZtG319fbiuO2Ysnz9206ZNY/v27Rw4cIDJkyezYMGCMeRieHiYzZs3Y61lwYIFdHV1MTg4iFKKI4444kX3v3HjRr7whS9grWX27NnceOONrFq1iiiK+OQnP8m1117L2rVr2bRpEytWrODCCy9k48aNGGP49Kc/zWc/+1mSySTd3d285z3v4dFHH+X73/8+n/70p+vhPn8ISil27tzJ4OAgIsKqVavGfP/0009TKpUwxrBy5UqKxSLr16/nRz/6EdZapk+fztDQEBMmTODuu+/GGFPfd+3ZtGLFCjzPY/Lkydxzzz24rsvChQvrBPL58DyPadOm1cf3wIED7N27l3w+Xx/72rWzf/9+vvOd79Dd3c3s2bMplUqEYch5553Hv/zLvzBx4kQcx6mTutq1AzBlypQXGAcGBgbIZDI0NDTQ0tLCli1bGB4eZt68eUybNu1lx3KcDI7jVYPnefWLU0S4/vrrefDBB5k8eTJveMMbCIKg/kZXW682sdvb23Ech3K5zMjIyAvIoLWWxx57jClTpjBnzhyA+hvpTTfdxLx585g6deqYm9lll13GD3/4Q970pjfxjne8g+985zvcf//9XHfddXzuc59j0aJFrF27FmMMZ5xxBu94xzv40Y9+xNlnn82UKVP46le/yo4dO7jqqqv40Ic+xLp16xgeHubpp5+mWCzypS99iSVLlnDSSSdhrWXr1q1Ya1m4cCF79uzh3HPPZXh4mC984QuICJdccgmXXHIJ73jHO5g+fXr95rNq1SqstXz0ox/lZz/7GV/4whdYtmwZt956K7/4xS+44ooruPbaa/8ilpW6KqGq/1eFHrVcP/dxjN6cU81cri1WxBY18I3BM5qU5zFp4akgJwNlbJjD2gxEWbAFbCVDNLKXoX2/J1PoQ0sBJznIFG+IXO7/ozc/jUquhbILYi2VKIJiFGvr7XcxJUMoIYoiSrk4ElsDrdJAXKsYsdX6HbF7WKIIsRZlLaUDLol+sA0RkS5TEZcwzMdu7jAiDCxhOaSSVZR3J2gMLaEKsQYcFaFE4XoOJqFxEpZko0uqrZ2m5n8klUrQ7HbQpCaS1M0kdCOGZHXMa4keo8Z8zOl+nnVn9LLamKNHLVL1NR9/7Im6x//oo48mkUjUHzaVSqVuvUin04gIt912G1/84hfZtWsXYRiSTqc544wzuPLKK2loaCCKIo455hiy2SwnnXQSTz31FLt27QLiuXzXXXfR0dFBPp/noosu4pZbbmFgYAClFJMnT+byyy/nfe97H3fddRerV69m1apV3HPPPRhjuPTSS7n22muZPHkyjzzyCI2NjVxwwQXcfffdHHXUUdx11134vv+S81dEuPLKKykWiySTSX7wgx+wfPlyAHzf5/Of/zzGGCZPnlxPSKu5O5999lkOO+wwuru7sdby+te/njvuuIN0Ok0mk+HCCy/k9ttvZ3h4GK01U6dO5aqrruK0004D4L/+67/48pe/zIQJE5g0aRKPP/44QRDQ2dnJV77yFb761a/Wieb8+fNZu3YtU6ZMeUXX9fbt2zn33HN5+OGHKTSTf1IAAB6fSURBVBaL9bG88sor+Yd/+AcArr32Wi699FLa2to4/PDDueeeeygUCqTTab7+9a9z9tlnA/CrX/2KD3/4w+zcuRMRYdasWbzuda8D4nv4smXLxs41FYc9fPvb3yabzeI4Dt/73vfqMc4iwqc//WmKxSIdHR24rsvmzZu59dZbATj99NO55JJL6ha8zs5OLrnkEk455RSiKGLdunUsXrz4D45BbV81D5FS6gVksPZdY2Mjixcv5rbbbmP16tXk83kgfiYEQUCxWOSqq65iypQpbN68mUqlUo8XPOKIIxAR/u3f/o3rr7+e2bNn8+STT3Lqqaeye/fuMeMCsGTJEh544AGUUnzlK1/h29/+Nv39/VhrSSaTnHbaaVx//fUAvO1tb+Ppp59GRNi7dy9vfvObueeeezj++OMJgoBvfvObfPCDHySXy3HRRRfxgx/8oG5QaWpq4vTTT+frX/86ra2tiAgf//jHueuuu1i8eDG+7/PII49QqVSYOHEiP/rRjzj++ONfcizHyeA4XnWICDfddBMf/ehHcV2Xr33ta0ybNo1MJsPmzZsBXnARZzIZwjDEcZwxb+M17N69m/7+fk444YR6fF0ul+Oaa65hcHCQiy66iPvvv7/edu1Cef/738/06dNJJpNs2rSJRx99lFKphNaaD3zgA1x99dU0NTVxzTXX1N3XIsI111zDSSedRBRF3H///WzatIndu3fT09NDPp9HKcUll1zCueeei1KKn//854yMjLBq1SoaGxvRWnPPPfcQBAHz5s0jk8lwxRVXEIYhQRDUb2oARxxxBFEU1cfGGMPhhx/OySefTE9Pz5i3ztcyRhMUVJzxq50UiolVF6zGiOC1hTTPKoEE2KBAUCkQVHJUyhkGTMCQCQmjApUoR66cp5zL0tvdh8mnaJyYwXMzuEqjHIXCqVYZsdgodo0igud7uK5G6+dolbIRnjRgMhNp6AtRGSEUTRRZXNfDdRtwTRKtPULlU57ZzsQZ02hMN5FuTpFuTJNsdEg2+CRTPn7SoJ1q46yqWvRGSS/VrK6vEkTieMn16x9DRPB9n97eXtauXUs2m+Xhhx/m29/+NgBTp05l2bJl/PKXv+SDH/wg5XKZ448/nrlz53LLLbdwww03sHz5clavXs3WrVvp6elBRLjrrrt44xvfyIwZM1i7di2/+93vePDBB3nnO9/JhRdeyHXXXUcymeR973sf+/fvZ+3atXzsYx/jqKOOYvLkyYyMjLB3717K5TKZTIYbb7yRkZERjDGEYciWLVu4/fbbKZVKnHXWWXie95LHq5Sit7eXhx56CIC3vOUtY4iNUorFixdz00031cnwb3/72zpR2LBhA295y1uYNm0aDz/8MGvXruXxxx/nuOOO49xzz+W2226jqamJD3zgA2zZsoVHHnmEc845hyOPPJJJkyaxbt06stks2WyWdDrNW97yFu688066urp473vfy6pVqzj11FO566672LZtG2vXruW9733vHzyP5XKZs88+mwcffJApU6Zw5pln8uCDD7J9+3Y+9alP1cngww8/zMjICCMjI5TLZc444wzuvPNOhoaG+O///m8++MEPsmfPHv75n/+Z3t5epk2bxlFHHcWvfvUrvv/97yMi9RCb5yOTydTvryeeeCJHH330mHGdPXt23bsCMemKogjf97nwwgvHuHKVUixcuLDuRh0eHv6jXOfr169HKUVHRwezZs0CnnOPPvbYYwDMmDGDjo6O+rnI5/MkEglWrFjBUUcdxZe//GWy2WydLO3atavuXq49m2rnc968eZRKJcrlMpMmTQJg3759lEollFIce+yxOI7DD3/4Q774xS/W4yeVUvzsZz/jtttu48wzz+TYY4+lqamJMAxRSjFnzhwOP/xwuru7GRoaQkRYunQpYRjy4Q9/mJtuugmtNccccwwtLS38+te/Zs2aNTQ2NnLllVdSqVRYv349IyMjPProoyxZsoR3v/vd3HrrrfT29vLd736X173udS89rjKOcbyKsNbKf/7nf4rv++K6rqxZs0astWKtlf/5n/8RpZRMmTJFhoaGxmx30UUXiVJKjjnmmBe0Z62VW2+9VZRS8pGPfERuueUWUUrJJZdcIq2trTJz5kzZvn27dHZ2ytSpU6VQKEilUpHrrrtO3vSmN8miRYuktbVVlFKilJKbb75ZrLX1dt74xjeKtVY2bNggiURCXNeVN7zhDXLyySfLySefLG1tbeL7vmzcuFGuvPJKAeS4446TIAjEWisiIhdffLEAct5554mIyI4dO+T888+XI488UmbMmCGe5wkg8+bNk0KhIP39/WKMkba2Ntm/f79Ya+Wyyy4TpWJ/rOu6csIJJ8i9995b38ffDqLnPtrqj9hRf9vqn5FYCcSKrX4bithAQgkkkoqIlCWSslipSCCBWBtKVC5LuZCRYjYj+cxBGRnslsHePdLXs0MO7HtWfnzz9fLhs/5Jvvnlz8vBri3S1/2s9Pdsl8GDO2W4d7sM9e+SocHtkhnaJdnhg5IbOSiFwoBUgoxYKYjYSrVPQdzPsNpfCUQkrB5O7f/R/6JRB2vjYxk9Dq8CrLUShqEcd9xx9Xn1/B+llLS2tsrtt98uQRDIEUccIUopOeWUU6RUKom1Vi688EJRSsnJJ58sIiI33nhjvb3Vq1dLGIayefNmcV1XALnllltk48aN9b+/853viIhIuVyWmTNnCiA33HCDbNu2TQBpa2uT/v5+ufTSS+vtJpNJ6e7ulnPPPVeUUrJy5UoplUp/8Hgff/xx8X1flFJyww03vOR6tZ9vfOMb9XH4xje+IVEUybp16+r9uPfee2Xt2rVijBGllNx+++1irZX+/n6ZPHmyKKXkrrvukmw2KwsWLBBAli9fLgMDA9Ld3S0NDQ2ilJJjjz1WstmsbN++vX4f+tGPfvSKru18Pi933nmnXHPNNfLEE0+IiMjXvvY1ASSdTouISKlUkvnz54tSSjo6OmTz5s1irZV/+qd/qvcpCAJZvXp1fZ2dO3eKtVauu+66+vG+973vfUGfrLXy7LPP1o/l61//+suOaxRFcuqppwogS5YskWKx+IJ1169fXx+H733ve39wDGqoVCpy1FFHiVJKjj/+eAmCoL7vQqEgLS0tAsjZZ59dX37KKafU7/MiIrlcTjo6OgSQiy++WKy18pOf/ESUUpJMJmXjxo0yMjIiTU1NopSSyy+/vD4m1lpZt26dtLe3i1JK3va2t0k+nxdrrTzxxBOyZs0auemmm6RSqUhvb6+0tbWJUkq+853viLVWHn744fpY/+Y3vxFrrVxxxRWilJL29nbp6+uTBx54QIwx9esrCAKJokg+97nPiVJKpk+fXp9fjuOIUkqOOOII6evrk3K5LIcccogopeT973//y47luGVwHK8KrLVorbn66qu58MIL8TyPG264of7WCs/FZCxatIjGxsb629z+/fu59tprAfjABz4wpt3aW01t20MPPbRuObz66qsZHh7mU5/6FCMjI+zbt49TTz0V3/e56qqr+NjHPsaCBQs466yzmDt3Lueddx4jIyMceuihYwKGjzjiCJRS5HI5giBg0qRJHH744fU+LFu2DM/z6Ozs5NFHHwXgrW9965i33VpbRx55JKVSqe5SeNe73sUFF1zAU089xTe+8Q1WrFhBMpnkoYceIooiZs2aRUdHBwAXXXQRJ510EjfccAM///nPeeihhzjttNPYuHHjCwL7/2agoBYBFwcqqvrHOD5xlBu6Wht3dH2M2reOxBVWlGvwPINFo2mqx9bV4KQ3M1CAjsCjY9oCnntpVqNWqwVMquq2qirSLPVKHEqqgtUmQqMRTLz/UfHbz3naRx1fVdpF6hnAry4GBgbYsWMHIsKSJUtYtGgRGzZsYNeuXYgIX/rSlzj77LPp6Oigq6uLxx6LrYiZTIbVq1cD1N2oBw4cQETqc72zs5OLL74YYwy7du0iiiIcx2HhwoX8/Oc/r1v677///vo2QRDLAfX09NDR0UFDQwPDw8Ps3bu3nkjQ1tbGwMAAzz77LLfddhtKKT772c++rHsY4nvF8PAwlUoFgGnTpo3J7H3+b4iv21pc8DnnnIPWmh07dgCxy3T+/PlcddVVWGtxHIc777yTu+++O84WD0MAenp6OHDgQD22a/Xq1bS1tdXjn6XqpUin09x77731/q5YseJlrWG1PjqOQ6VS4Xe/+x1r1qyhq6uLnp4elFL1WOKuri4OHDgAwGc/+1kWLlyIiLBjx4768Vlr61nCZ511Vt2q9rrXvQ6tNVEU1e+Fzx/XbDZLsVh8ReMaBAF9fX0opZg6deoLzpuI8LOf/az+9yGHHFL/bK2tJ6fU9j0aw8PD9fl82GGHjYmv27hxI7lcrm6tq/Vlw4YNdfcvxBI6IyMjKKXqSSa1+dna2sr8+fPZsGEDhULhBTGUzzzzDGeccQaDg4McffTR3HTTTXUZmFQqxdatW3niiSf493//d/bs2VOPa6/FbNb209DQwNKlS+v7lmpiZHNzM/fccw/WWhoaGrjooovqY7FkyRIAent7yWQybNq0iSiKFQu++tWv0t7eTj6fr8/DWvsvhXEyOI4/O0QErTX3338/n/nMZ4iiiI997GMsXbqULVu2kE6nmT59en3SL1myhGw2SxiG7Nixg9WrV9Pf38/RRx/NmWee+YL2wzDkiSeeAGIdsFoMRV9fHxMnTuSDH/wgP/7xj4E4MUUpxa9//WsAvvzlL/POd76T22+/naGhIdrb21mwYAEiwpNPPllvU0SYOnUq6XQarTUXXXQRLS0trF+/nrvuuosTTzyRlpYWHnvssTE3G4jdOE8//TS+77N8+XJ27NjBrl27mDNnDt/97ncRkbobpuaCqLWzYsUKwjDkqquu4sknn+Tiiy/mmmuuobu7m+OOO469e/eyd+/evwkyWKNCo+MMpU6UasSrulY99m30MvVcZREY9YnRzAslut6cen7s4+iSI4z9TlQtY7rmwLVQbWt0reSak9fWYiLHdFl4IcUbRXDHdPfF1v3zYu/evfT29qKU4hOf+ARnnXUWe/bs4cQTT2TXrl08/vjjfPKTn0QpVX+IKKXYu3cv+/fvr7fT2dnJkiVLCMNwTCZnW1sbIsLjjz+OtZYpU6YwY8YM9uzZU8/kXbdu3Rhi09nZyezZs/E8j6lTp7Jt2zauvPJKurq6OPnkk/F9n5/+9Kf8x3/8B0NDQyxfvpzTTz/9FWU2JxIJjDFEUURPTw/wHKnat28fb33rW5k4cSLvec97+Md//Ed+//vfA3DsscfWH+o1Qjx79mza29vr4+J5Xt1VCvHDP5VKMXPmTJ566ikqlQpKKU444QREpO6y9H2fN7zhDfVltXvN1KlTX5F79NJLL+UrX/kKIsLcuXM59NBDGRwcJJ/P14nKli1byOVyuK5b13Tt6+ur9/2www7j4MGDjIyMICIcddRRY851FEUopca8BI+G7/s4jkMQBC8Y10wmw4knnkhraytvf/vbOe+88+pxqUNDQwRBMMa939PTw4033gjEhHjp0qVYa7nxxhu5/PLLKRaLnHnmmVx22WUkEokx/RgcHKzf/58vQfab3/yGKIpIJpP149u2bRvDw8NjSN3GjRupVCqk02kWLVqEUqp+rg455BCSySQbNmwgiiJaWlrqhHvPnj285z3vYf/+/fV4xFpxgc2bN/PGN76R3t5e2tvbWbx4MZ7nsXHjRpLJZJ2Y1fZTM4gUi0U2bdqEUrG+oOu69etuwYIFtLW11Ul27aUslUrh+369rY6Ojnpc7NatW8lmsy8aT/kCvGJ77DjG8QpRc0cdddRRdZeL53ni+774/v/f3rkHRVn9f/xzlgVZETDUiGAJFQIdFcJLtAFeEdICgTIuolCYpY32RzY4eEknZ9JpmrIB/2imGgpFiauOpI004qXbOIIaYBDQCF4WWbmswD67e97fP/w957eLeMf8fuN5zTyzu2efc57P+TyX8znn8znnGYG1a9eit7cXU6dOBWMMo0ePhq+vL7y8vODs7AyVSoVZs2ahoaFh0PK7u7vh6ekJDw8PGAwG/Pzzz8LNlZWVBc45Xn/9dTDGUFpaCs451q5dC8YYAgMDkZiYiHHjxonhdFnmadOmCRdUbm4urFYrMjMzoVKpEBYWhrfffhuenp5wdXVFeXk52tvbhWu3tbVVuEXOnz8PjUYDT09PdHZ2Qq/Xw93dHU5OTnjllVcQFhYmXFcFBQWwWq2Ij48HYwy5ubmwWCxYuXIlGGPw9/fHmjVrEBsbC7VajaCgIHR1df2Tp/ORITt7bVMADvtkbv+fbZLsVuW2aXzQpJtu2VvdsKWlZUhOTsHWrVv/z/Vjl1P8/v9SbyldyCLqw21rNliZA6o2+L9DDuccu3fvFu64s2fPCnfXrl27RDjC0aNHAQAXLlwQ+x47dgwGgwHXrl1DQUEBqqqqoNfr0dnZidGjR4Mxhh07dojjxMXFgYgQHh4Ozjk+/PBDMMYQHByMK1euwGAwoK6uDgUFBThz5gz6+vpgNpsxe/ZsIYeTkxOOHDmCjIwMEBEcHBzg4OCAPXv2gHMOo9EIg8GA7u7u29a3tbVVhIS88MIL6OrqAuccnZ2dSElJAWMMDg4O+OGHH9DS0oJRo0YJV7b8HIuIiAARIT4+Hpxz4VoNDw/HtWvXYDAYUFNTg/3796OmpgaSJCErK0u4XyVJAgCkpaWBMYaQkBBIkgTOOaKiosAYQ3R0NKxWK8xmM65fv47r168Ll6dtfUwmE7RaLRhjWL9+PYxGI86fPw9XV1fhfgSAzZs3g4gwbtw49Pb2CpekrMMff/wRzc3NcHd3BxHhm2++AeccZrNZ6MXJyQk9PT2D6rW9vR0+Pj5gjGHatGnQ6/XgnKOnp0e48lUqFfbu3WunMycnJ3z33XewWCwAgCtXrmDx4sXiPMj719XVwdXVFdHR0Vi9ejXUajUOHz58iyxNTU1wcnICYwzbtm2D1WoF5xyXLl3CxIkTQUTQ6XQwmUx24UUjR45EbW0tAOCdd94Rz1pJkiBJknD7Zmdng3OO9PR0MMYwZcoUmM1mdHR0YObMmSAi+Pr64ty5c3bu9O3bt4v/mpqaIEkSXn31VTDGEBoaCkmSYDKZEBISAiJCRkYGOOdoaWmBRqMBEeHrr7+2k0+r1Ypn/+XLl+Hr6yvc4yaTSehx3rx5Qr/y/T5q1CgRfnQ7FGNQ4ZHQ0dGBF198ETqdTmzy7+LiYrS3tyMqKsoufc6cOUhOTsZXX32F7u5uYVwN5OLFi9DpdEhPT4fJZEJDQwN0Oh0iIiLQ1tYGSZKQkpKCiIgIXLx4UTQKsbGxGDt2LBYsWID8/HxERkZi6dKl4hh5eXmYOHEiPDw8RGPQ3d2NTZs2ISAgAGPGjMH8+fNx+PBhEY+k0+mQlpYmHu4AcOzYMeh0OmRmZoo65OfnIyAgAL6+vsjKykJ2djZ0Oh1KSkrQ39+PlJQU6HQ61NTUiIfqtm3bMHXqVDzxxBPQarVITU1FY2PjvzBm8PFRWlqO5ORUbN267V+vV8453nzzTTDG4OrqKowUuXGXG8CXX34ZFosFJpMJkyZNEg3M4cOHkZWVBZVKBY1Gg1OnTolYLyJCZWUlgJvxauPHjwdjDO+9956ID1ar1VCr1cjOzkZFRQUiIyNBRJgxYwaMRiM451i2bJnoQM6ePRtmsxnr168Xnb3g4GD09fWBc44VK1ZAq9UiKSlp0HMn33upqanCqJ0yZQpWrFgh4qgYY0hNTYUkSaioqBB1qa6uBgC7WMDt27eDc47y8nI4ODjA0dERO3fuRHl5OaZPnw4iwrx582AymTB//nxh5HHOIUkSpk6datfwGwwGETO5YcMGAEBVVRW0Wi20Wi0uXLhwS336+vrg5eUlyv7yyy8REhICxhgcHR1x4sQJAMCiRYvAGMPcuXOFbnJzc4UhdPXqVfT29sLPzw+MMUycOBF5eXl49913RWxncHCwOO5gel2zZo3QYWBgIJYvX47Q0FCRFhcXJ+Lnamtr4ezsDCKCs7MzFi1aJM6fbDguX75cGHOtra3IyclBQ0MDCgsL4eDggJKSklvkMBqNwqDSaDRYsmQJMjIyRL0cHR1RVFQk6vDRRx8JHXzyySeor6/HjBkzwBjDa6+9JjrzcuxdaWkpLBaLGChYvnw5+vv7ERsbK+o5c+ZMvPXWW1i1ahXWrVuHnp4ebNmyBYwxuLu7IycnB6tXrxZx4snJyeCcQ6/X4+mnnxb3V2lpKUpKSsQ1eO7cOQBAYWGhOFZCQgJycnIQFhYGxhjUajUOHDiArq4u+Pv7gzGG999/X5yjN954Q3TCBovVtEUxBhUeCbZB2XfabPe3zTfw+4OWPfD7/ZYxsJw7yX+/eeVNfgAOzDcw/U46UXgwhpMxKDdqRIQ5c+bcck2tWrVKNJTyqOHx48fh6ekpGih5dOezzz6DxWJBTk6OyKPX6wHc7KypVCq7yVlWqxWbN2+Go6OjaNgYY/Dz88OZM2eEjBs3bhSjgAcPHgQA7Nix42bEqEqF/Px8URdvb28xQjbYfSGnXb58GeHh4XbHZYxhxIgRyMzMFBNj5Akrrq6uYiTp9OnTYn958pYkSVi3bp2oo61B1NDQgM7OTvj4+ICIsHHjRgDA33//LUYod+/eDc45zp49K0a1ZEPn448/BmMMLi4ug44MDjTCGGMYP3481Go1HB0dcfLkSUiSJAzYDz74QOhFHmGdNGmSKCs3N1cYPvK5lWVauXKlOO5gchgMBixcuFBcF/KmVquxbNky0aGX8+zfv99u4p68ubm5YcuWLULntltdXR18fHwwefJkdHR0DPrMPXnypDCqbDeNRoPPP/8cFovFrlMunzeVSoW8vDxoNBowxrBz505wzpGXlyfOwZ9//onOzk5x3X7xxRdoaWkRE4hsNyJCUFAQjEYjTp8+LUZriQhubm548sknwRhDSkoKOOe4ceMGQkNDhf6ee+45MSnEw8NDTJAymUzCU2R7H2o0GuzatQtWqxX19fVCxn379ol8ciclLS3trm0HA+5z+XIFhccMhvjtBbblDXXZ91vmozi+wu0pKztA+/bto6CgQNq0aeO/Wvdms5kKCwvpxo0bFBgYSJGRkXb///XXXyIGLjIyUgS5t7W1UVlZGTU2NtKYMWMoISFBxFb9/vvvVF1dTW5ubpSQkECOjo6k1+uprKyMiIiWLFkiJkRxzunXX3+ln376iTo6OigoKIiWLl0q3sJDdDMg/9SpU+Ti4kKJiYk0YsQIqquroxMnTpBGo6GEhAQaOXIkSZJEe/bsIbPZTBEREXddpLi/v58qKirol19+of7+fpowYQItWLCAJk2aJBatPn78ONXX15OHhwclJCSIuMkjR44QEVFSUpKICeOcU1VVFVVVVVF3d7eIY3R1dSWj0UhFRUUkSRLNnj2bnn32WTIYDFRcXExERDExMeTt7U2XLl2iQ4cOEWOMEhISyMPDg06ePEm1tbXk4eFBiYmJt63L3r176Y8//iB/f3+Kj48Xy1bFxMTQuHHjqKCg4BbdHDp0iNra2uiZZ56hhQsXioXGKysr6ejRo+Ti4kLR0dHU1NRE3d3dNGvWrLu+k1iSJDpy5IhYksfPz4/mzp1LwcHBgy4GfvXqVSouLqbm5mZSqVTk7+9PixcvpqeeespuIg8R0dmzZykuLo4453TgwAGaNm3abe9Pg8FAJSUl1NjYSGazmfz8/CguLo58fHzs8lgsFtq7dy9VV1eTs7Mzpaen07FjxwgARUVFkZ+fH9XU1NBvv/0mrsG+vj76/vvvCQDFxMSQk5MTlZeXDyqHt7c3vfTSS0REdObMGSouLibGGCUlJZFer6fGxkby8fGhmJgYYoxRQ0MDffvtt2Q0Gun5558nLy8vunDhAo0ZM4bi4+OF7FarlaqqqqiyspJ6e3vJy8uLYmNjKSAgQEzAkifhxMfH09ixY0mSJCoqKiKj0UjTp0+n0NDQO55LxRhUUFAYtgwnY/C/iX+602PbzA3VcR9nxw33MHnmn5SD6N5kkXU28HNgeY2NjWIR6oMHD9LkyZOJMfbQneqB5s4/ob87XSe3M7/utv+jkPvO7/FRUFBQUBj22DZa/4vjB3LjKRsgD1sHOf9QlPUgPArvxcPI8aB6HVgP+feGDRuoubmZent7admyZZSWliaWTXkY7segHAru1mGw1Z/t572UO9QoS8soKCgMY0BEnOzWeVG4BdtGaiga08cxonW/De69lPU4GUoZHqas+9Hr3fYFQP39/aTVau3WmJXfXX+/Mj3o/0PFg+jkXozHR4FiDCooKAxLbvauYfNdQUHhcePs7EyffvrpoO5jhUeHYgwqKCgMO2T3zYQJEyg6Olq8Y1RBQeHxMXASiW26wqNFmUCioKCgoKCgoDCMUSaQKCgoKCgoKCgMYxRjUEFBQUFBQUFhGPMfgCyTqL4ZC7sAAAAASUVORK5CYII=" /></p>
+</section>
+<section id="data-download-1min">
+<h2>Data Download [~1min] <a name="download"></a><a class="headerlink" href="#data-download-1min" title="Link to this heading">#</a></h2>
+<p>FOR TUTORIAL USE ONLY</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%</span><span class="k">bash</span>
+mkdir data
+cd data
+wget -q http://dl.fbaipublicfiles.com/opencatalystproject/data/tutorial_data.tar.gz -O tutorial_data.tar.gz
+tar -xzvf tutorial_data.tar.gz
+rm tutorial_data.tar.gz
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>mkdir: cannot create directory ‘data’: File exists
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./is2re/
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./is2re/train_100/
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./is2re/train_100/data.lmdb
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./is2re/train_100/data.lmdb-lock
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./is2re/val_20/
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./is2re/val_20/data.lmdb
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./is2re/val_20/data.lmdb-lock
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./s2ef/
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./s2ef/train_100/
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./s2ef/train_100/data.lmdb
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./s2ef/train_100/data.lmdb-lock
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./s2ef/val_20/
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./s2ef/val_20/data.lmdb
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>./s2ef/val_20/data.lmdb-lock
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="data-visualization">
+<h2>Data Visualization <a name="visual"></a><a class="headerlink" href="#data-visualization" title="Link to this heading">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib</span>
+<span class="n">matplotlib</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">&#39;Agg&#39;</span><span class="p">)</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="o">%</span><span class="k">matplotlib</span> inline
+
+<span class="n">params</span> <span class="o">=</span> <span class="p">{</span>
+   <span class="s1">&#39;axes.labelsize&#39;</span><span class="p">:</span> <span class="mi">14</span><span class="p">,</span>
+   <span class="s1">&#39;font.size&#39;</span><span class="p">:</span> <span class="mi">14</span><span class="p">,</span>
+   <span class="s1">&#39;font.family&#39;</span><span class="p">:</span> <span class="s1">&#39; DejaVu Sans&#39;</span><span class="p">,</span>
+   <span class="s1">&#39;legend.fontsize&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+   <span class="s1">&#39;xtick.labelsize&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+   <span class="s1">&#39;ytick.labelsize&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+   <span class="s1">&#39;axes.labelsize&#39;</span><span class="p">:</span> <span class="mi">25</span><span class="p">,</span>
+   <span class="s1">&#39;axes.titlesize&#39;</span><span class="p">:</span> <span class="mi">25</span><span class="p">,</span>
+   <span class="s1">&#39;text.usetex&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+   <span class="s1">&#39;figure.figsize&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">]</span>
+<span class="p">}</span>
+<span class="n">matplotlib</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">params</span><span class="p">)</span>
+
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">ase.io</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.io.trajectory</span><span class="w"> </span><span class="kn">import</span> <span class="n">Trajectory</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.io</span><span class="w"> </span><span class="kn">import</span> <span class="n">extxyz</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.calculators.emt</span><span class="w"> </span><span class="kn">import</span> <span class="n">EMT</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc100</span><span class="p">,</span> <span class="n">add_adsorbate</span><span class="p">,</span> <span class="n">molecule</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.constraints</span><span class="w"> </span><span class="kn">import</span> <span class="n">FixAtoms</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">LBFGS</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.visualize.plot</span><span class="w"> </span><span class="kn">import</span> <span class="n">plot_atoms</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase</span><span class="w"> </span><span class="kn">import</span> <span class="n">Atoms</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">IPython.display</span><span class="w"> </span><span class="kn">import</span> <span class="n">Image</span>
+</pre></div>
+</div>
+</div>
+</div>
+<section id="understanding-the-data">
+<h3>Understanding the data<a class="headerlink" href="#understanding-the-data" title="Link to this heading">#</a></h3>
+<p>We use the Atomic Simulation Environment (ASE) library to interact with our data. This notebook will provide you with some intuition on how atomic data is generated, how the data is structured, how to visualize the data, and the specific properties that are passed on to our models.</p>
+</section>
+<section id="generating-sample-data">
+<h3>Generating sample data<a class="headerlink" href="#generating-sample-data" title="Link to this heading">#</a></h3>
+<p>The OC20 dataset was generated using density functional theory (DFT), a quantum chemistry method for modeling atomistic environments. For more details, please see our dataset paper.  In this notebook, we generate sample data in the same format as the OC20 dataset; however, we use a faster method that is less accurate called effective-medium theory (EMT) because our DFT calculations are too computationally expensive to run here. EMT is great for demonstration purposes but not accurate enough for our actual catalysis applications. Below is a structural relaxation of a catalyst system, a propane (C3H8) adsorbate on a copper (Cu) surface. Throughout this tutorial a surface may be referred to as a slab and the combination of an adsorbate and a surface as an adslab.</p>
+</section>
+<section id="structural-relaxations">
+<h3>Structural relaxations<a class="headerlink" href="#structural-relaxations" title="Link to this heading">#</a></h3>
+<p>A structural relaxation or structure optimization is the process of iteratively updating atom positions to find the atom positions that minimize the energy of the structure. Standard optimization methods are used in structural relaxations — below we use the Limited-Memory Broyden–Fletcher–Goldfarb–Shanno (LBFGS) algorithm. The step number, time, energy, and force max are printed at each optimization step. Each step is considered one example because it provides all the information we need to train models for the S2EF task and the entire set of steps is referred to as a trajectory. Visualizing intermediate structures or viewing the entire trajectory can be illuminating to understand what is physically happening and to look for problems in the simulation, especially when we run ML-driven relaxations. Common problems one may look out for - atoms excessively overlapping/colliding with each other and atoms flying off into random directions.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">###DATA GENERATION - FEEL FREE TO SKIP###</span>
+
+<span class="c1"># This cell sets up and runs a structural relaxation</span>
+<span class="c1"># of a propane (C3H8) adsorbate on a copper (Cu) surface</span>
+
+<span class="n">adslab</span> <span class="o">=</span> <span class="n">fcc100</span><span class="p">(</span><span class="s2">&quot;Cu&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="n">adsorbate</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s2">&quot;C3H8&quot;</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">adsorbate</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">offset</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span> <span class="c1"># adslab = adsorbate + slab</span>
+
+<span class="c1"># tag all slab atoms below surface as 0, surface as 1, adsorbate as 2</span>
+<span class="n">tags</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">adslab</span><span class="p">))</span>
+<span class="n">tags</span><span class="p">[</span><span class="mi">18</span><span class="p">:</span><span class="mi">27</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="n">tags</span><span class="p">[</span><span class="mi">27</span><span class="p">:]</span> <span class="o">=</span> <span class="mi">2</span>
+
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+
+<span class="c1"># Fixed atoms are prevented from moving during a structure relaxation.</span>
+<span class="c1"># We fix all slab atoms beneath the surface.</span>
+<span class="n">cons</span><span class="o">=</span> <span class="n">FixAtoms</span><span class="p">(</span><span class="n">indices</span><span class="o">=</span><span class="p">[</span><span class="n">atom</span><span class="o">.</span><span class="n">index</span> <span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">adslab</span> <span class="k">if</span> <span class="p">(</span><span class="n">atom</span><span class="o">.</span><span class="n">tag</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)])</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_constraint</span><span class="p">(</span><span class="n">cons</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">center</span><span class="p">(</span><span class="n">vacuum</span><span class="o">=</span><span class="mf">13.0</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_pbc</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">EMT</span><span class="p">())</span>
+
+<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Define structure optimizer - LBFGS. Run for 100 steps,</span>
+<span class="c1"># or if the max force on all atoms (fmax) is below 0 ev/A.</span>
+<span class="c1"># fmax is typically set to 0.01-0.05 eV/A,</span>
+<span class="c1"># for this demo however we run for the full 100 steps.</span>
+
+<span class="n">dyn</span> <span class="o">=</span> <span class="n">LBFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="s2">&quot;data/toy_c3h8_relax.traj&quot;</span><span class="p">)</span>
+<span class="n">dyn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+
+<span class="n">traj</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">&quot;data/toy_c3h8_relax.traj&quot;</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+
+<span class="c1"># convert traj format to extxyz format (used by OC20 dataset)</span>
+<span class="n">columns</span> <span class="o">=</span> <span class="p">([</span><span class="s1">&#39;symbols&#39;</span><span class="p">,</span><span class="s1">&#39;positions&#39;</span><span class="p">,</span> <span class="s1">&#39;move_mask&#39;</span><span class="p">,</span> <span class="s1">&#39;tags&#39;</span><span class="p">,</span> <span class="s1">&#39;forces&#39;</span><span class="p">])</span>
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;data/toy_c3h8_relax.extxyz&#39;</span><span class="p">,</span><span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">extxyz</span><span class="o">.</span><span class="n">write_xyz</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="n">traj</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>       Step     Time          Energy          fmax
+LBFGS:    0 19:38:27       15.804700        6.776430
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    1 19:38:27       12.190607        4.323222
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    2 19:38:27       10.240169        2.265527
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    3 19:38:27        9.779223        0.937247
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    4 19:38:27        9.671525        0.770173
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    5 19:38:27        9.574461        0.663540
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    6 19:38:27        9.537502        0.571800
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    7 19:38:27        9.516673        0.446620
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    8 19:38:27        9.481330        0.461143
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    9 19:38:27        9.462255        0.293081
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   10 19:38:27        9.448937        0.249010
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   11 19:38:27        9.433813        0.237051
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   12 19:38:27        9.418884        0.260245
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   13 19:38:27        9.409649        0.253162
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   14 19:38:27        9.404838        0.162398
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   15 19:38:27        9.401753        0.182298
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   16 19:38:27        9.397314        0.259163
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   17 19:38:27        9.387947        0.345022
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3691/747130225.py:23: FutureWarning: Please use atoms.calc = calc
+  adslab.set_calculator(EMT())
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   18 19:38:27        9.370825        0.407041
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   19 19:38:27        9.342222        0.433340
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   20 19:38:27        9.286822        0.500200
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   21 19:38:27        9.249910        0.524052
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   22 19:38:27        9.187179        0.511994
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   23 19:38:27        9.124811        0.571796
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   24 19:38:27        9.066185        0.540934
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   25 19:38:27        9.000116        1.079833
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   26 19:38:27        8.893632        0.752759
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   27 19:38:27        8.845939        0.332051
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   28 19:38:27        8.815173        0.251242
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   29 19:38:27        8.808721        0.214337
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   30 19:38:27        8.794643        0.154611
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   31 19:38:27        8.789162        0.201404
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   32 19:38:27        8.782320        0.175517
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   33 19:38:27        8.780394        0.103718
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   34 19:38:27        8.778410        0.107611
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   35 19:38:28        8.775079        0.179747
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   36 19:38:28        8.766987        0.333401
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   37 19:38:28        8.750249        0.530715
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   38 19:38:28        8.725928        0.685116
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   39 19:38:28        8.702312        0.582260
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   40 19:38:28        8.661515        0.399625
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   41 19:38:28        8.643432        0.558474
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   42 19:38:28        8.621201        0.367288
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   43 19:38:28        8.614414        0.139424
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   44 19:38:28        8.610785        0.137160
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   45 19:38:28        8.608134        0.146375
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   46 19:38:28        8.604928        0.119648
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   47 19:38:28        8.599151        0.135424
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   48 19:38:28        8.594063        0.147913
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   49 19:38:28        8.589493        0.153840
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   50 19:38:28        8.587274        0.088460
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   51 19:38:28        8.584633        0.093750
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   52 19:38:28        8.580239        0.140870
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   53 19:38:28        8.572938        0.254272
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   54 19:38:28        8.563343        0.291885
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   55 19:38:28        8.554117        0.196557
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   56 19:38:28        8.547597        0.129064
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   57 19:38:28        8.542086        0.128020
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   58 19:38:28        8.535432        0.098202
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   59 19:38:28        8.533622        0.127672
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   60 19:38:28        8.527487        0.116729
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   61 19:38:28        8.523863        0.121762
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   62 19:38:28        8.519229        0.130541
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   63 19:38:28        8.515424        0.101902
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   64 19:38:28        8.511240        0.212223
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   65 19:38:28        8.507967        0.266593
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   66 19:38:28        8.503903        0.237734
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   67 19:38:28        8.497575        0.162253
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   68 19:38:28        8.485434        0.202203
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   69 19:38:28        8.466738        0.215895
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   70 19:38:28        8.467607        0.334764
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   71 19:38:28        8.454037        0.106310
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   72 19:38:28        8.448980        0.119721
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   73 19:38:28        8.446550        0.099221
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   74 19:38:28        8.444705        0.056244
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   75 19:38:28        8.443403        0.038831
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   76 19:38:28        8.442646        0.054772
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   77 19:38:28        8.442114        0.061370
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   78 19:38:28        8.440960        0.058800
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   79 19:38:28        8.439820        0.048198
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   80 19:38:28        8.438600        0.051251
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   81 19:38:28        8.437429        0.054130
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   82 19:38:28        8.435695        0.067234
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   83 19:38:28        8.431957        0.085678
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   84 19:38:28        8.423485        0.133240
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   85 19:38:28        8.413846        0.207812
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   86 19:38:28        8.404849        0.178747
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   87 19:38:28        8.385339        0.169017
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   88 19:38:28        8.386849        0.187645
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   89 19:38:28        8.371078        0.118124
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   90 19:38:28        8.368801        0.094222
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   91 19:38:28        8.366226        0.066960
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   92 19:38:28        8.361680        0.054964
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   93 19:38:28        8.360631        0.047342
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   94 19:38:28        8.359692        0.024179
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   95 19:38:28        8.359361        0.015549
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   96 19:38:28        8.359163        0.014284
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   97 19:38:28        8.359102        0.015615
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   98 19:38:28        8.359048        0.015492
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   99 19:38:28        8.358986        0.014214
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:  100 19:38:28        8.358921        0.013159
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/io/extxyz.py:311: UserWarning: Skipping unhashable information adsorbate_info
+  warnings.warn(&#39;Skipping unhashable information &#39;
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="reading-a-trajectory">
+<h3>Reading a trajectory<a class="headerlink" href="#reading-a-trajectory" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">identifier</span> <span class="o">=</span> <span class="s2">&quot;toy_c3h8_relax.extxyz&quot;</span>
+
+<span class="c1"># the `index` argument corresponds to what frame of the trajectory to read in, specifiying &quot;:&quot; reads in the full trajectory.</span>
+<span class="n">traj</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">identifier</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">index</span><span class="o">=</span><span class="s2">&quot;:&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="viewing-a-trajectory">
+<h3>Viewing a trajectory<a class="headerlink" href="#viewing-a-trajectory" title="Link to this heading">#</a></h3>
+<p>Below we visualize the initial, middle, and final steps in the structural relaxation trajectory from above. Copper atoms in the surface are colored orange, the propane adsorbate on the surface has grey colored carbon atoms and white colored hydrogen atoms. The adsorbate’s structure changes during the simulation and you can see how it relaxes on the surface. In this case, the relaxation looks normal; however, there can be instances where the adsorbate flies away (desorbs) from the surface or the adsorbate can break apart (dissociation), which are hard to detect without visualization. Additionally, visualizations can be used as a quick sanity check to ensure the initial system is set up correctly and there are no major issues with the simulation.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;initial&#39;</span><span class="p">,</span> <span class="s1">&#39;middle&#39;</span><span class="p">,</span> <span class="s1">&#39;final&#39;</span><span class="p">]</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">3</span><span class="p">):</span>
+    <span class="n">ax</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
+    <span class="n">ax</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                              <span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                              <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span>
+                              <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="mi">50</span><span class="p">],</span>
+                              <span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+                              <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span>
+                              <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+                              <span class="n">ax</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span>
+                              <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span>
+                              <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Axes: title={&#39;center&#39;: &#39;final&#39;}&gt;
+</pre></div>
+</div>
+<img alt="../_images/816bcf8dc3bde9539b21bfcb9e0ffae00c836ad5fca7aa645677e20d85034244.png" src="../_images/816bcf8dc3bde9539b21bfcb9e0ffae00c836ad5fca7aa645677e20d85034244.png" />
+</div>
+</div>
+</section>
+<section id="data-contents">
+<h3>Data contents <a name="contents"></a><a class="headerlink" href="#data-contents" title="Link to this heading">#</a></h3>
+<p>Here we take a closer look at what information is contained within these trajectories.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">i_structure</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">i_structure</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Atoms(symbols=&#39;Cu27C3H8&#39;, pbc=True, cell=[7.65796644025031, 7.65796644025031, 33.266996999999996], tags=..., constraint=FixAtoms(indices=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]), calculator=SinglePointCalculator(...))
+</pre></div>
+</div>
+</div>
+</div>
+<section id="atomic-numbers">
+<h4>Atomic numbers<a class="headerlink" href="#atomic-numbers" title="Link to this heading">#</a></h4>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">numbers</span> <span class="o">=</span> <span class="n">i_structure</span><span class="o">.</span><span class="n">get_atomic_numbers</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">numbers</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29
+ 29 29 29  6  6  6  1  1  1  1  1  1  1  1]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="atomic-symbols">
+<h4>Atomic symbols<a class="headerlink" href="#atomic-symbols" title="Link to this heading">#</a></h4>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">symbols</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">i_structure</span><span class="o">.</span><span class="n">get_chemical_symbols</span><span class="p">())</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">symbols</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39;
+ &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;C&#39; &#39;C&#39;
+ &#39;C&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39;]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="unit-cell">
+<h4>Unit cell<a class="headerlink" href="#unit-cell" title="Link to this heading">#</a></h4>
+<p>The unit cell is the volume containing our system of interest. Express as a 3x3 array representing the directional vectors that make up the volume. Illustrated as the dashed box in the above visuals.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cell</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">i_structure</span><span class="o">.</span><span class="n">cell</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">cell</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[ 7.65796644  0.          0.        ]
+ [ 0.          7.65796644  0.        ]
+ [ 0.          0.         33.266997  ]]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="periodic-boundary-conditions-pbc">
+<h4>Periodic boundary conditions (PBC)<a class="headerlink" href="#periodic-boundary-conditions-pbc" title="Link to this heading">#</a></h4>
+<p>x,y,z boolean representing whether a unit cell repeats in the corresponding directions. The OC20 dataset sets this to [True, True, True], with a large enough vacuum layer above the surface such that a unit cell does not see itself in the z direction. Although the original structure shown above is what get’s passed into our models, the presence of PBC allows it to effectively repeat infinitely in the x and y directions. Below we visualize the same structure with a periodicity of 2 in all directions, what the model may effectively see.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">pbc</span> <span class="o">=</span> <span class="n">i_structure</span><span class="o">.</span><span class="n">pbc</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">pbc</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ True  True  True]
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;initial&#39;</span><span class="p">,</span> <span class="s1">&#39;middle&#39;</span><span class="p">,</span> <span class="s1">&#39;final&#39;</span><span class="p">]</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">3</span><span class="p">):</span>
+    <span class="n">ax</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
+    <span class="n">ax</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">repeat</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">)),</span>
+                              <span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                              <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span>
+                              <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="mi">50</span><span class="p">]</span><span class="o">.</span><span class="n">repeat</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">)),</span>
+                              <span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+                              <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span>
+                              <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">repeat</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">)),</span>
+                              <span class="n">ax</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span>
+                              <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span>
+                              <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Axes: title={&#39;center&#39;: &#39;final&#39;}&gt;
+</pre></div>
+</div>
+<img alt="../_images/1cbfa8aea07a2a8428de15235c086c7c64ebee626d0599f4f4bdc4b72c7fb3bb.png" src="../_images/1cbfa8aea07a2a8428de15235c086c7c64ebee626d0599f4f4bdc4b72c7fb3bb.png" />
+</div>
+</div>
+</section>
+<section id="tags">
+<h4>Tags<a class="headerlink" href="#tags" title="Link to this heading">#</a></h4>
+<p>The OC20 dataset consists of systems with several different types of atoms. To help with identifying the index of certain atoms, we tag each atom according to where it is found in the system. There are three categories of atoms:</p>
+<ul class="simple">
+<li><p><em>sub-surface slab atoms</em>: these are atoms in the bottom layers of the catalyst, furthest away from the adsorbate</p></li>
+<li><p><em>surface slab atoms</em>: these are atoms in the top layers of the catalyst, close to where the adsorbate will be placed</p></li>
+<li><p><em>adsorbate atoms</em>: atoms that make up the adsorbate molecule on top of the catalyst.</p></li>
+</ul>
+<p>Tag:</p>
+<p>0 - Sub-surface slab atoms</p>
+<p>1 - Surface slab atoms</p>
+<p>2 - Adsorbate atoms</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">tags</span> <span class="o">=</span> <span class="n">i_structure</span><span class="o">.</span><span class="n">get_tags</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2
+ 2]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="fixed-atoms-constraint">
+<h4>Fixed atoms constraint<a class="headerlink" href="#fixed-atoms-constraint" title="Link to this heading">#</a></h4>
+<p>In reality, surfaces contain many, many more atoms beneath what we’ve illustrated as the surface. At an infinite depth, these subsurface atoms would look just like the bulk structure. We approximate a true surface by fixing the subsurface atoms into their “bulk” locations. This ensures that they cannot move at the “bottom” of the surface. If they could, this would throw off our calculations. Consistent with the above, we fix all atoms with tags=0, and denote them as “fixed”. All other atoms are considered “free”.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cons</span> <span class="o">=</span> <span class="n">i_structure</span><span class="o">.</span><span class="n">constraints</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">cons</span><span class="p">,</span> <span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<span class="c1"># indices of fixed atoms</span>
+<span class="n">indices</span> <span class="o">=</span> <span class="n">cons</span><span class="o">.</span><span class="n">index</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<span class="c1"># fixed atoms correspond to tags = 0</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">tags</span><span class="p">[</span><span class="n">indices</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>FixAtoms(indices=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]) 
+
+[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17] 
+
+[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="adsorption-energy">
+<h4>Adsorption energy<a class="headerlink" href="#adsorption-energy" title="Link to this heading">#</a></h4>
+<p>The energy of the system is one of the properties of interest in the OC20 dataset. It’s important to note that absolute energies provide little value to researchers and must be referenced properly to be useful. The OC20 dataset references all it’s energies to the bare slab + gas references to arrive at adsorption energies. Adsorption energies are important in studying catalysts and their corresponding reaction rates. In addition to the structure relaxations of the OC20 dataset, bare slab and gas (N2, H2, H2O, CO) relaxations were carried out with DFT in order to calculate adsorption energies.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">final_structure</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+<span class="n">relaxed_energy</span> <span class="o">=</span> <span class="n">final_structure</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Relaxed absolute energy = </span><span class="si">{</span><span class="n">relaxed_energy</span><span class="si">}</span><span class="s1"> eV&#39;</span><span class="p">)</span>
+
+<span class="c1"># Corresponding raw slab used in original adslab (adsorbate+slab) system.</span>
+<span class="n">raw_slab</span> <span class="o">=</span> <span class="n">fcc100</span><span class="p">(</span><span class="s2">&quot;Cu&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="n">raw_slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">EMT</span><span class="p">())</span>
+<span class="n">raw_slab_energy</span> <span class="o">=</span> <span class="n">raw_slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Raw slab energy = </span><span class="si">{</span><span class="n">raw_slab_energy</span><span class="si">}</span><span class="s1"> eV&#39;</span><span class="p">)</span>
+
+
+<span class="n">adsorbate</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">(</span><span class="s2">&quot;C3H8&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">get_chemical_symbols</span><span class="p">()</span>
+<span class="c1"># For clarity, we define arbitrary gas reference energies here.</span>
+<span class="c1"># A more detailed discussion of these calculations can be found in the corresponding paper&#39;s SI.</span>
+<span class="n">gas_reference_energies</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;H&#39;</span><span class="p">:</span> <span class="mf">.3</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">:</span> <span class="mf">.45</span><span class="p">,</span> <span class="s1">&#39;C&#39;</span><span class="p">:</span> <span class="mf">.35</span><span class="p">,</span> <span class="s1">&#39;N&#39;</span><span class="p">:</span> <span class="mf">.50</span><span class="p">}</span>
+
+<span class="n">adsorbate_reference_energy</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="k">for</span> <span class="n">ads</span> <span class="ow">in</span> <span class="n">adsorbate</span><span class="p">:</span>
+    <span class="n">adsorbate_reference_energy</span> <span class="o">+=</span> <span class="n">gas_reference_energies</span><span class="p">[</span><span class="n">ads</span><span class="p">]</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Adsorbate reference energy = </span><span class="si">{</span><span class="n">adsorbate_reference_energy</span><span class="si">}</span><span class="s1"> eV</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<span class="n">adsorption_energy</span> <span class="o">=</span> <span class="n">relaxed_energy</span> <span class="o">-</span> <span class="n">raw_slab_energy</span> <span class="o">-</span> <span class="n">adsorbate_reference_energy</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Adsorption energy: </span><span class="si">{</span><span class="n">adsorption_energy</span><span class="si">}</span><span class="s1"> eV&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Relaxed absolute energy = 8.358921451410891 eV
+Raw slab energy = 8.127167122749576 eV
+Adsorbate reference energy = 3.4499999999999993 eV
+
+Adsorption energy: -3.2182456713386838 eV
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3691/2478225434.py:7: FutureWarning: Please use atoms.calc = calc
+  raw_slab.set_calculator(EMT())
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="plot-energy-profile-of-toy-trajectory">
+<h4>Plot energy profile of toy trajectory<a class="headerlink" href="#plot-energy-profile-of-toy-trajectory" title="Link to this heading">#</a></h4>
+<p>Plotting the energy profile of our trajectory is a good way to ensure nothing strange has occured. We expect to see a decreasing monotonic function. If the energy is consistently increasing or there’s multiple large spikes this could be a sign of some issues in the optimization. This is particularly useful for when analyzing ML-driven relaxations and whether they make general physical sense.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">energies</span> <span class="o">=</span> <span class="p">[</span><span class="n">image</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span> <span class="o">-</span> <span class="n">raw_slab_energy</span> <span class="o">-</span> <span class="n">adsorbate_reference_energy</span> <span class="k">for</span> <span class="n">image</span> <span class="ow">in</span> <span class="n">traj</span><span class="p">]</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">energies</span><span class="p">)),</span> <span class="n">energies</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Step&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">24</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Energy, eV&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">24</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Text(0, 0.5, &#39;Energy, eV&#39;)
+</pre></div>
+</div>
+<img alt="../_images/2ede3ecd0a7d909d581693d45e2e9268bd5861e8d396cfd74887a0323591ac06.png" src="../_images/2ede3ecd0a7d909d581693d45e2e9268bd5861e8d396cfd74887a0323591ac06.png" />
+</div>
+</div>
+</section>
+<section id="force">
+<h4>Force<a class="headerlink" href="#force" title="Link to this heading">#</a></h4>
+<p>Forces are another important property of the OC20 dataset. Unlike datasets like QM9 which contain only ground state properties, the OC20 dataset contains per-atom forces necessary to carry out atomistic simulations. Physically, forces are the negative gradient of energy w.r.t atomic positions: <span class="math notranslate nohighlight">\(F = -\frac{dE}{dx}\)</span>. Although not mandatory (depending on the application), maintaining this energy-force consistency is important for models that seek to make predictions on both properties.</p>
+<p>The “apply_constraint” argument controls whether to apply system constraints to the forces. In the OC20 dataset, this controls whether to return forces for fixed atoms (apply_constraint=False) or return 0s (apply_constraint=True).</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Returning forces for all atoms - regardless of whether &quot;fixed&quot; or &quot;free&quot;</span>
+<span class="n">i_structure</span><span class="o">.</span><span class="n">get_forces</span><span class="p">(</span><span class="n">apply_constraint</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([[-1.07900000e-05, -3.80000000e-06,  1.13560540e-01],
+       [ 0.00000000e+00, -4.29200000e-05,  1.13302410e-01],
+       [ 1.07900000e-05, -3.80000000e-06,  1.13560540e-01],
+       [-1.84600000e-05,  0.00000000e+00,  1.13543430e-01],
+       [ 0.00000000e+00,  0.00000000e+00,  1.13047800e-01],
+       [ 1.84600000e-05, -0.00000000e+00,  1.13543430e-01],
+       [-1.07900000e-05,  3.80000000e-06,  1.13560540e-01],
+       [-0.00000000e+00,  4.29200000e-05,  1.13302410e-01],
+       [ 1.07900000e-05,  3.80000000e-06,  1.13560540e-01],
+       [-1.10430500e-02, -2.53094000e-03, -4.84573700e-02],
+       [ 1.10430500e-02, -2.53094000e-03, -4.84573700e-02],
+       [-0.00000000e+00, -2.20890000e-04, -2.07827000e-03],
+       [-1.10430500e-02,  2.53094000e-03, -4.84573700e-02],
+       [ 1.10430500e-02,  2.53094000e-03, -4.84573700e-02],
+       [-0.00000000e+00,  2.20890000e-04, -2.07827000e-03],
+       [-3.49808000e-03, -0.00000000e+00, -7.85544000e-03],
+       [ 3.49808000e-03, -0.00000000e+00, -7.85544000e-03],
+       [-0.00000000e+00, -0.00000000e+00, -5.97640000e-04],
+       [-3.18144370e-01, -2.36420450e-01, -3.97089230e-01],
+       [ 0.00000000e+00, -2.18895316e+00, -2.74768262e+00],
+       [ 3.18144370e-01, -2.36420450e-01, -3.97089230e-01],
+       [-5.65980520e-01,  0.00000000e+00, -6.16046990e-01],
+       [ 0.00000000e+00, -0.00000000e+00, -4.47152822e+00],
+       [ 5.65980520e-01,  0.00000000e+00, -6.16046990e-01],
+       [-3.18144370e-01,  2.36420450e-01, -3.97089230e-01],
+       [-0.00000000e+00,  2.18895316e+00, -2.74768262e+00],
+       [ 3.18144370e-01,  2.36420450e-01, -3.97089230e-01],
+       [-0.00000000e+00,  0.00000000e+00, -3.96835355e+00],
+       [-0.00000000e+00, -3.64190926e+00,  5.71458646e+00],
+       [-0.00000000e+00,  3.64190926e+00,  5.71458646e+00],
+       [-2.18178516e+00,  0.00000000e+00,  1.67589182e+00],
+       [ 2.18178516e+00,  0.00000000e+00,  1.67589182e+00],
+       [ 0.00000000e+00,  2.46333681e+00,  1.78299828e+00],
+       [ 0.00000000e+00, -2.46333681e+00,  1.78299828e+00],
+       [ 6.18714050e+00,  2.26336330e-01, -5.99485570e-01],
+       [-6.18714050e+00,  2.26336330e-01, -5.99485570e-01],
+       [-6.18714050e+00, -2.26336330e-01, -5.99485570e-01],
+       [ 6.18714050e+00, -2.26336330e-01, -5.99485570e-01]])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Applying the fixed atoms constraint to the forces</span>
+<span class="n">i_structure</span><span class="o">.</span><span class="n">get_forces</span><span class="p">(</span><span class="n">apply_constraint</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([[ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [-0.31814437, -0.23642045, -0.39708923],
+       [ 0.        , -2.18895316, -2.74768262],
+       [ 0.31814437, -0.23642045, -0.39708923],
+       [-0.56598052,  0.        , -0.61604699],
+       [ 0.        , -0.        , -4.47152822],
+       [ 0.56598052,  0.        , -0.61604699],
+       [-0.31814437,  0.23642045, -0.39708923],
+       [-0.        ,  2.18895316, -2.74768262],
+       [ 0.31814437,  0.23642045, -0.39708923],
+       [-0.        ,  0.        , -3.96835355],
+       [-0.        , -3.64190926,  5.71458646],
+       [-0.        ,  3.64190926,  5.71458646],
+       [-2.18178516,  0.        ,  1.67589182],
+       [ 2.18178516,  0.        ,  1.67589182],
+       [ 0.        ,  2.46333681,  1.78299828],
+       [ 0.        , -2.46333681,  1.78299828],
+       [ 6.1871405 ,  0.22633633, -0.59948557],
+       [-6.1871405 ,  0.22633633, -0.59948557],
+       [-6.1871405 , -0.22633633, -0.59948557],
+       [ 6.1871405 , -0.22633633, -0.59948557]])
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="interacting-with-the-oc20-datasets">
+<h3>Interacting with the OC20 datasets<a class="headerlink" href="#interacting-with-the-oc20-datasets" title="Link to this heading">#</a></h3>
+<p>The OC20 datasets are stored in LMDBs. Here we show how to interact with the datasets directly in order to better understand the data. We use <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/main/ocpmodels/datasets/lmdb_dataset.py">LmdbDataset</a> to read in a directory of LMDB files or a single LMDB file.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">LmdbDataset</span>
+
+<span class="c1"># LmdbDataset is our custom Dataset method to read the lmdbs as Data objects. Note that we need to give the path to the folder containing lmdbs for S2EF</span>
+<span class="n">dataset</span> <span class="o">=</span> <span class="n">LmdbDataset</span><span class="p">({</span><span class="s2">&quot;src&quot;</span><span class="p">:</span> <span class="s2">&quot;data/s2ef/train_100/&quot;</span><span class="p">})</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Size of the dataset created:&quot;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">dataset</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">dataset</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Size of the dataset created: 100
+Data(edge_index=[2, 2964], y=6.282500615000004, pos=[86, 3], cell=[1, 3, 3], atomic_numbers=[86], natoms=86, cell_offsets=[2964, 3], force=[86, 3], fixed=[86], tags=[86], sid=[1], fid=[1], total_frames=74, id=&#39;0_0&#39;)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dataset</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">data</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Data(edge_index=[2, 2964], y=6.282500615000004, pos=[86, 3], cell=[1, 3, 3], atomic_numbers=[86], natoms=86, cell_offsets=[2964, 3], force=[86, 3], fixed=[86], tags=[86], sid=[1], fid=[1], total_frames=74, id=&#39;0_0&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">energies</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">([</span><span class="n">data</span><span class="o">.</span><span class="n">y</span> <span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">])</span>
+<span class="n">energies</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tensor([ 6.2825e+00,  4.1290e+00,  3.1451e+00,  3.0260e+00,  1.7921e+00,
+         1.6451e+00,  1.2257e+00,  1.2161e+00,  1.0712e+00,  7.4727e-01,
+         5.9575e-01,  5.7016e-01,  4.2819e-01,  3.1616e-01,  2.5283e-01,
+         2.2425e-01,  2.2346e-01,  2.0530e-01,  1.6090e-01,  1.1807e-01,
+         1.1691e-01,  9.1254e-02,  7.4997e-02,  6.3274e-02,  5.2782e-02,
+         4.8892e-02,  3.9609e-02,  3.1746e-02,  2.7179e-02,  2.7007e-02,
+         2.3709e-02,  1.8005e-02,  1.7676e-02,  1.4129e-02,  1.3162e-02,
+         1.1374e-02,  7.4124e-03,  7.7525e-03,  6.1224e-03,  5.2787e-03,
+         2.8587e-03,  1.1835e-04, -1.1200e-03, -1.3011e-03, -2.6812e-03,
+        -5.9202e-03, -6.1644e-03, -6.9261e-03, -9.1364e-03, -9.2114e-03,
+        -1.0665e-02, -1.3760e-02, -1.3588e-02, -1.4895e-02, -1.6190e-02,
+        -1.8660e-02, -1.4980e-02, -1.8880e-02, -2.0218e-02, -2.0559e-02,
+        -2.1013e-02, -2.2129e-02, -2.2748e-02, -2.3322e-02, -2.3382e-02,
+        -2.3865e-02, -2.3973e-02, -2.4196e-02, -2.4755e-02, -2.4951e-02,
+        -2.5078e-02, -2.5148e-02, -2.5257e-02, -2.5550e-02,  5.9721e+00,
+         9.5081e+00,  2.6373e+00,  4.0946e+00,  1.4385e+00,  1.2700e+00,
+         1.0081e+00,  5.3797e-01,  5.1462e-01,  2.8812e-01,  1.2429e-01,
+        -1.1352e-02, -2.2293e-01, -3.9102e-01, -4.3574e-01, -5.3142e-01,
+        -5.4777e-01, -6.3948e-01, -7.3816e-01, -8.2163e-01, -8.2526e-01,
+        -8.8313e-01, -8.8615e-01, -9.3446e-01, -9.5100e-01, -9.5168e-01])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">energies</span><span class="p">,</span> <span class="n">bins</span> <span class="o">=</span> <span class="mi">50</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">yscale</span><span class="p">(</span><span class="s2">&quot;log&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Energies&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/b03a502be210cfacb71ec6cb1324eaec7491e16441fae7a3c508856f88013044.png" src="../_images/b03a502be210cfacb71ec6cb1324eaec7491e16441fae7a3c508856f88013044.png" />
+</div>
+</div>
+</section>
+<section id="additional-resources">
+<h3>Additional Resources<a class="headerlink" href="#additional-resources" title="Link to this heading">#</a></h3>
+<p>More helpful resources, tutorials, and documentation can be found at ASE’s webpage: https://wiki.fysik.dtu.dk/ase/index.html.
+We point to specific pages that may be of interest:</p>
+<ul class="simple">
+<li><p>Interacting with Atoms Object: https://wiki.fysik.dtu.dk/ase/ase/atoms.html</p></li>
+<li><p>Visualization: https://wiki.fysik.dtu.dk/ase/ase/visualize/visualize.html</p></li>
+<li><p>Structure optimization: https://wiki.fysik.dtu.dk/ase/ase/optimize.html</p></li>
+<li><p>More ASE Tutorials: https://wiki.fysik.dtu.dk/ase/tutorials/tutorials.html</p></li>
+</ul>
+<p><a name="tasks"></a></p>
+</section>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="tasks">
+<h1>Tasks<a class="headerlink" href="#tasks" title="Link to this heading">#</a></h1>
+<p>In this section, we cover the different types of tasks the OC20 dataset presents and how to train and predict their corresponding models.</p>
+<ol class="arabic simple">
+<li><p>Structure to Energy and Forces (S2EF)</p></li>
+<li><p>Initial Structure to Relaxed Energy (IS2RE)</p></li>
+<li><p>Initial Structure to Relaxed Structure (IS2RS)</p></li>
+</ol>
+<p>Tasks can be interrelated. The figure below illustrates several approaches to solving the IS2RE task:</p>
+<p>(a) the traditional approach uses DFT along with an optimizer,
+such as BFGS or conjugate gradient, to iteratively update
+the atom positions until the relaxed structure and energy are found.</p>
+<p>(b) using ML models trained to predict the energy and forces of a
+structure, S2EF can be used as a direct replacement for DFT.</p>
+<p>(c) the relaxed structure could potentially be directly regressed from
+the initial structure and S2EF used to find the energy.</p>
+<p>(d) directly compute the relaxed energy from the initial state.</p>
+<p><strong>NOTE</strong> The following sections are intended to demonstrate the inner workings of our codebase and what goes into running the various tasks. We do not recommend training to completion within a notebook setting. Please see the <a class="reference internal" href="#cmd"><span class="xref myst">running on command line</span></a> section for the preferred way to train/evaluate models.</p>
+<p><img alt="tasks.png" src="data:image/png;base64,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" /></p>
+<section id="structure-to-energy-and-forces-s2ef">
+<h2>Structure to Energy and Forces (S2EF) <a name="s2ef"></a><a class="headerlink" href="#structure-to-energy-and-forces-s2ef" title="Link to this heading">#</a></h2>
+<p>The S2EF task takes an atomic system as input and predicts the energy of the entire system and forces on each atom. This is our most general task, ultimately serving as a surrogate to DFT. A model that can perform well on this task can accelerate other applications like molecular dynamics and transitions tate calculations.</p>
+<section id="steps-for-training-an-s2ef-model">
+<h3>Steps for training an S2EF model<a class="headerlink" href="#steps-for-training-an-s2ef-model" title="Link to this heading">#</a></h3>
+<ol class="arabic simple">
+<li><p>Define or load a configuration (config), which includes the following</p></li>
+</ol>
+<ul class="simple">
+<li><p>task</p></li>
+<li><p>model</p></li>
+<li><p>optimizer</p></li>
+<li><p>dataset</p></li>
+<li><p>trainer</p></li>
+</ul>
+<ol class="arabic simple" start="2">
+<li><p>Create a ForcesTrainer object</p></li>
+<li><p>Train the model</p></li>
+<li><p>Validate the model</p></li>
+</ol>
+<p><strong>For storage and compute reasons we use a very small subset of the OC20 S2EF dataset for this tutorial. Results will be considerably worse than presented in our paper.</strong></p>
+</section>
+<section id="imports">
+<h3>Imports<a class="headerlink" href="#imports" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.trainers</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPTrainer</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">LmdbDataset</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">models</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common</span><span class="w"> </span><span class="kn">import</span> <span class="n">logger</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">setup_logging</span><span class="p">,</span> <span class="n">setup_imports</span>
+<span class="n">setup_logging</span><span class="p">()</span>
+<span class="n">setup_imports</span><span class="p">()</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">copy</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:358: (INFO): Project root: /home/runner/work/fairchem/fairchem/src/fairchem
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="dataset">
+<h3>Dataset<a class="headerlink" href="#dataset" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">train_src</span> <span class="o">=</span> <span class="s2">&quot;data/s2ef/train_100&quot;</span>
+<span class="n">val_src</span> <span class="o">=</span> <span class="s2">&quot;data/s2ef/val_20&quot;</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="normalize-data">
+<h3>Normalize data<a class="headerlink" href="#normalize-data" title="Link to this heading">#</a></h3>
+<p>If you wish to normalize the targets we must compute the mean and standard deviation for our energy values. Because forces are physically related by the negative gradient of energy, we use the same multiplicative energy factor for forces.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">train_dataset</span> <span class="o">=</span> <span class="n">LmdbDataset</span><span class="p">({</span><span class="s2">&quot;src&quot;</span><span class="p">:</span> <span class="n">train_src</span><span class="p">})</span>
+
+<span class="n">energies</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">train_dataset</span><span class="p">:</span>
+    <span class="n">energies</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">y</span><span class="p">)</span>
+
+<span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">energies</span><span class="p">)</span>
+<span class="n">stdev</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">energies</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="define-the-config">
+<h3>Define the Config<a class="headerlink" href="#define-the-config" title="Link to this heading">#</a></h3>
+<p>For this example, we will explicitly define the config. Default config yaml files can easily be loaded with
+the following <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/617302946b2723277ea134477dae8e7f6e4accaa/src/fairchem/core/common/utils.py#L428">build_config</a>
+utility. Loading a yaml config is preferable when launching jobs from the command line. We have included a set of
+default configs for our best models’ <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/master/configs">here</a>.</p>
+<p>We will also use a scaling files found <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/master/configs/s2ef/all/gemnet/scaling_factors%22">here</a>.
+Lets download it locally,</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%</span><span class="k">bash</span>
+wget https://github.com/FAIR-Chem/fairchem/raw/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc-large.pt
+wget https://github.com/FAIR-Chem/fairchem/raw/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc.pt
+wget https://github.com/FAIR-Chem/fairchem/raw/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-dT.json
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--2025-01-21 19:38:36--  https://github.com/FAIR-Chem/fairchem/raw/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc-large.pt
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Resolving github.com (github.com)... 140.82.114.3
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Connecting to github.com (github.com)|140.82.114.3|:443... connected.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>HTTP request sent, awaiting response... 302 Found
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Location: https://raw.githubusercontent.com/FAIR-Chem/fairchem/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc-large.pt [following]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--2025-01-21 19:38:36--  https://raw.githubusercontent.com/FAIR-Chem/fairchem/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc-large.pt
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ...
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>HTTP request sent, awaiting response... 200 OK
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Length: 27199 (27K) [application/octet-stream]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Saving to: ‘gemnet-oc-large.pt’
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>     0K .......... .......... ......                          100% 48.0M=0.001s
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:36 (48.0 MB/s) - ‘gemnet-oc-large.pt’ saved [27199/27199]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--2025-01-21 19:38:36--  https://github.com/FAIR-Chem/fairchem/raw/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc.pt
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Resolving github.com (github.com)... 140.82.114.3
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Connecting to github.com (github.com)|140.82.114.3|:443... connected.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>HTTP request sent, awaiting response... 302 Found
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Location: https://raw.githubusercontent.com/FAIR-Chem/fairchem/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc.pt [following]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--2025-01-21 19:38:36--  https://raw.githubusercontent.com/FAIR-Chem/fairchem/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-oc.pt
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ...
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>HTTP request sent, awaiting response... 200 OK
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Length: 16963 (17K) [application/octet-stream]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Saving to: ‘gemnet-oc.pt’
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>     0K .......... ......                                     100% 16.7M=0.001s
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:36 (16.7 MB/s) - ‘gemnet-oc.pt’ saved [16963/16963]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--2025-01-21 19:38:36--  https://github.com/FAIR-Chem/fairchem/raw/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-dT.json
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Resolving github.com (github.com)... 140.82.114.3
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Connecting to github.com (github.com)|140.82.114.3|:443... connected.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>HTTP request sent, awaiting response... 302 Found
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Location: https://raw.githubusercontent.com/FAIR-Chem/fairchem/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-dT.json [following]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--2025-01-21 19:38:36--  https://raw.githubusercontent.com/FAIR-Chem/fairchem/main/configs/s2ef/all/gemnet/scaling_factors/gemnet-dT.json
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.108.133, 185.199.111.133, ...
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>HTTP request sent, awaiting response... 200 OK
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Length: 816 [text/plain]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Saving to: ‘gemnet-dT.json’
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>     0K                                                       100% 71.7M=0s
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:37 (71.7 MB/s) - ‘gemnet-dT.json’ saved [816/816]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+<p><strong>Note</strong> - we only train for a single epoch with a reduced batch size (GPU memory constraints) for demonstration purposes, modify accordingly for full convergence.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Task</span>
+<span class="n">task</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;dataset&#39;</span><span class="p">:</span> <span class="s1">&#39;lmdb&#39;</span><span class="p">,</span> <span class="c1"># dataset used for the S2EF task</span>
+    <span class="s1">&#39;description&#39;</span><span class="p">:</span> <span class="s1">&#39;Regressing to energies and forces for DFT trajectories from OCP&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;type&#39;</span><span class="p">:</span> <span class="s1">&#39;regression&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;metric&#39;</span><span class="p">:</span> <span class="s1">&#39;mae&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;labels&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;potential energy&#39;</span><span class="p">],</span>
+    <span class="s1">&#39;grad_input&#39;</span><span class="p">:</span> <span class="s1">&#39;atomic forces&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;train_on_free_atoms&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s1">&#39;eval_on_free_atoms&#39;</span><span class="p">:</span> <span class="kc">True</span>
+<span class="p">}</span>
+<span class="c1"># Model</span>
+<span class="n">model</span> <span class="o">=</span> <span class="p">{</span>
+  <span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;gemnet_oc&quot;</span><span class="p">,</span>
+  <span class="s2">&quot;num_spherical&quot;</span><span class="p">:</span> <span class="mi">7</span><span class="p">,</span>
+  <span class="s2">&quot;num_radial&quot;</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
+  <span class="s2">&quot;num_blocks&quot;</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_atom&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_edge&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_trip_in&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_trip_out&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_quad_in&quot;</span><span class="p">:</span> <span class="mi">32</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_quad_out&quot;</span><span class="p">:</span> <span class="mi">32</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_aint_in&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_aint_out&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_rbf&quot;</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_cbf&quot;</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+  <span class="s2">&quot;emb_size_sbf&quot;</span><span class="p">:</span> <span class="mi">32</span><span class="p">,</span>
+  <span class="s2">&quot;num_before_skip&quot;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+  <span class="s2">&quot;num_after_skip&quot;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+  <span class="s2">&quot;num_concat&quot;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+  <span class="s2">&quot;num_atom&quot;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+  <span class="s2">&quot;num_output_afteratom&quot;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+  <span class="s2">&quot;cutoff&quot;</span><span class="p">:</span> <span class="mf">12.0</span><span class="p">,</span>
+  <span class="s2">&quot;cutoff_qint&quot;</span><span class="p">:</span> <span class="mf">12.0</span><span class="p">,</span>
+  <span class="s2">&quot;cutoff_aeaint&quot;</span><span class="p">:</span> <span class="mf">12.0</span><span class="p">,</span>
+  <span class="s2">&quot;cutoff_aint&quot;</span><span class="p">:</span> <span class="mf">12.0</span><span class="p">,</span>
+  <span class="s2">&quot;max_neighbors&quot;</span><span class="p">:</span> <span class="mi">30</span><span class="p">,</span>
+  <span class="s2">&quot;max_neighbors_qint&quot;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span>
+  <span class="s2">&quot;max_neighbors_aeaint&quot;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+  <span class="s2">&quot;max_neighbors_aint&quot;</span><span class="p">:</span> <span class="mi">1000</span><span class="p">,</span>
+  <span class="s2">&quot;rbf&quot;</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;gaussian&quot;</span>
+  <span class="p">},</span>
+  <span class="s2">&quot;envelope&quot;</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;polynomial&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;exponent&quot;</span><span class="p">:</span> <span class="mi">5</span>
+  <span class="p">},</span>
+  <span class="s2">&quot;cbf&quot;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;spherical_harmonics&quot;</span><span class="p">},</span>
+  <span class="s2">&quot;sbf&quot;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;legendre_outer&quot;</span><span class="p">},</span>
+  <span class="s2">&quot;extensive&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+  <span class="s2">&quot;output_init&quot;</span><span class="p">:</span> <span class="s2">&quot;HeOrthogonal&quot;</span><span class="p">,</span>
+  <span class="s2">&quot;activation&quot;</span><span class="p">:</span> <span class="s2">&quot;silu&quot;</span><span class="p">,</span>
+
+  <span class="s2">&quot;regress_forces&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+  <span class="s2">&quot;direct_forces&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+  <span class="s2">&quot;forces_coupled&quot;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+
+  <span class="s2">&quot;quad_interaction&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+  <span class="s2">&quot;atom_edge_interaction&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+  <span class="s2">&quot;edge_atom_interaction&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+  <span class="s2">&quot;atom_interaction&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+
+  <span class="s2">&quot;num_atom_emb_layers&quot;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+  <span class="s2">&quot;num_global_out_layers&quot;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+  <span class="s2">&quot;qint_tags&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span>
+
+  <span class="s2">&quot;scale_file&quot;</span><span class="p">:</span> <span class="s2">&quot;./gemnet-oc.pt&quot;</span>
+<span class="p">}</span>
+
+<span class="c1"># Optimizer</span>
+<span class="n">optimizer</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;batch_size&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>         <span class="c1"># originally 32</span>
+    <span class="s1">&#39;eval_batch_size&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>    <span class="c1"># originally 32</span>
+    <span class="s1">&#39;num_workers&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="s1">&#39;lr_initial&#39;</span><span class="p">:</span> <span class="mf">5.e-4</span><span class="p">,</span>
+    <span class="s1">&#39;optimizer&#39;</span><span class="p">:</span> <span class="s1">&#39;AdamW&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;optimizer_params&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;amsgrad&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">},</span>
+    <span class="s1">&#39;scheduler&#39;</span><span class="p">:</span> <span class="s2">&quot;ReduceLROnPlateau&quot;</span><span class="p">,</span>
+    <span class="s1">&#39;mode&#39;</span><span class="p">:</span> <span class="s2">&quot;min&quot;</span><span class="p">,</span>
+    <span class="s1">&#39;factor&#39;</span><span class="p">:</span> <span class="mf">0.8</span><span class="p">,</span>
+    <span class="s1">&#39;patience&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="s1">&#39;max_epochs&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>         <span class="c1"># used for demonstration purposes</span>
+    <span class="s1">&#39;force_coefficient&#39;</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span>
+    <span class="s1">&#39;ema_decay&#39;</span><span class="p">:</span> <span class="mf">0.999</span><span class="p">,</span>
+    <span class="s1">&#39;clip_grad_norm&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span>
+    <span class="s1">&#39;loss_energy&#39;</span><span class="p">:</span> <span class="s1">&#39;mae&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;loss_force&#39;</span><span class="p">:</span> <span class="s1">&#39;l2mae&#39;</span><span class="p">,</span>
+<span class="p">}</span>
+<span class="c1"># Dataset</span>
+<span class="n">dataset</span> <span class="o">=</span> <span class="p">[</span>
+  <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">train_src</span><span class="p">,</span>
+   <span class="s1">&#39;normalize_labels&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+   <span class="s2">&quot;target_mean&quot;</span><span class="p">:</span> <span class="n">mean</span><span class="p">,</span>
+   <span class="s2">&quot;target_std&quot;</span><span class="p">:</span> <span class="n">stdev</span><span class="p">,</span>
+   <span class="s2">&quot;grad_target_mean&quot;</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
+   <span class="s2">&quot;grad_target_std&quot;</span><span class="p">:</span> <span class="n">stdev</span>
+   <span class="p">},</span> <span class="c1"># train set</span>
+  <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">val_src</span><span class="p">},</span> <span class="c1"># val set (optional)</span>
+<span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="create-the-trainer">
+<h3>Create the trainer<a class="headerlink" href="#create-the-trainer" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">trainer</span> <span class="o">=</span> <span class="n">OCPTrainer</span><span class="p">(</span>
+    <span class="n">task</span><span class="o">=</span><span class="n">task</span><span class="p">,</span>
+    <span class="n">model</span><span class="o">=</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">model</span><span class="p">),</span> <span class="c1"># copied for later use, not necessary in practice.</span>
+    <span class="n">dataset</span><span class="o">=</span><span class="n">dataset</span><span class="p">,</span>
+    <span class="n">optimizer</span><span class="o">=</span><span class="n">optimizer</span><span class="p">,</span>
+    <span class="n">outputs</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">loss_functions</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">evaluation_metrics</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">&quot;s2ef&quot;</span><span class="p">,</span>
+    <span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;S2EF-example&quot;</span><span class="p">,</span>
+    <span class="n">run_dir</span><span class="o">=</span><span class="s2">&quot;.&quot;</span><span class="p">,</span> <span class="c1"># directory to save results if is_debug=False. Prediction files are saved here so be careful not to override!</span>
+    <span class="n">is_debug</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="c1"># if True, do not save checkpoint, logs, or results</span>
+    <span class="n">print_every</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
+    <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="c1"># random seed to use</span>
+    <span class="n">logger</span><span class="o">=</span><span class="s2">&quot;tensorboard&quot;</span><span class="p">,</span> <span class="c1"># logger of choice (tensorboard and wandb supported)</span>
+    <span class="n">local_rank</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="n">amp</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="c1"># use PyTorch Automatic Mixed Precision (faster training and less memory usage),</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:37 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1306: (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:37 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: true
+cmd:
+  checkpoint_dir: ./checkpoints/2025-01-21-19-37-36-S2EF-example
+  commit: c162617
+  identifier: S2EF-example
+  logs_dir: ./logs/tensorboard/2025-01-21-19-37-36-S2EF-example
+  print_every: 5
+  results_dir: ./results/2025-01-21-19-37-36-S2EF-example
+  seed: 0
+  timestamp_id: 2025-01-21-19-37-36-S2EF-example
+  version: 0.1.dev1+gc162617
+dataset:
+  format: lmdb
+  grad_target_mean: 0.0
+  grad_target_std: !!python/object/apply:numpy.core.multiarray.scalar
+  - &amp;id001 !!python/object/apply:numpy.dtype
+    args:
+    - f8
+    - false
+    - true
+    state: !!python/tuple
+    - 3
+    - &lt;
+    - null
+    - null
+    - null
+    - -1
+    - -1
+    - 0
+  - !!binary |
+    dPVlWhRA+D8=
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  src: data/s2ef/train_100
+  target_mean: !!python/object/apply:numpy.core.multiarray.scalar
+  - *id001
+  - !!binary |
+    zSXlDMrm3D8=
+  target_std: !!python/object/apply:numpy.core.multiarray.scalar
+  - *id001
+  - !!binary |
+    dPVlWhRA+D8=
+  transforms:
+    normalizer:
+      energy:
+        mean: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          zSXlDMrm3D8=
+        stdev: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          dPVlWhRA+D8=
+      forces:
+        mean: 0.0
+        stdev: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          dPVlWhRA+D8=
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+gp_gpus: null
+gpus: 0
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 64
+  emb_size_cbf: 16
+  emb_size_edge: 64
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  scale_file: ./gemnet-oc.pt
+optim:
+  batch_size: 1
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  eval_batch_size: 1
+  factor: 0.8
+  force_coefficient: 100
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0005
+  max_epochs: 1
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm: {}
+task:
+  dataset: lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: s2ef
+val_dataset:
+  src: data/s2ef/val_20
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:37 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded GemNetOC with 2596214 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:37: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  scale_dict = torch.load(path)
+2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/logger.py:157: (WARNING): log_summary for Tensorboard not supported
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:358: (INFO): Loading dataset: lmdb
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/train_100&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f335780be60&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/val_20&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f335780a390&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;] have been saved to: ./checkpoints/2025-01-21-19-37-36-S2EF-example/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;, &#39;forces&#39;] have been saved to: ./checkpoints/2025-01-21-19-37-36-S2EF-example/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output energy: mean=0.45158625849998374, rmsd=1.5156444102461508.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output forces: mean=0.0, rmsd=1.5156444102461508.
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="train-the-model">
+<h3>Train the model<a class="headerlink" href="#train-the-model" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">trainer</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.09e+01, forcesx_mae: 3.30e-01, forcesy_mae: 3.57e-01, forcesz_mae: 4.72e-01, forces_mae: 3.87e-01, forces_cosine_similarity: 1.86e-02, forces_magnitude_error: 6.38e-01, loss: 7.25e+01, lr: 5.00e-04, epoch: 5.00e-02, step: 5.00e+00
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:49 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 8.43e+00, forcesx_mae: 1.68e-01, forcesy_mae: 1.81e-01, forcesz_mae: 2.19e-01, forces_mae: 1.89e-01, forces_cosine_similarity: 4.28e-02, forces_magnitude_error: 2.69e-01, loss: 3.04e+01, lr: 5.00e-04, epoch: 1.00e-01, step: 1.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:54 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 4.58e+00, forcesx_mae: 1.44e-01, forcesy_mae: 2.21e-01, forcesz_mae: 2.22e-01, forces_mae: 1.95e-01, forces_cosine_similarity: 8.30e-02, forces_magnitude_error: 2.61e-01, loss: 2.73e+01, lr: 5.00e-04, epoch: 1.50e-01, step: 1.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:38:59 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.41e+01, forcesx_mae: 3.02e-01, forcesy_mae: 1.15e+00, forcesz_mae: 5.77e-01, forces_mae: 6.76e-01, forces_cosine_similarity: -1.29e-01, forces_magnitude_error: 1.09e+00, loss: 1.00e+02, lr: 5.00e-04, epoch: 2.00e-01, step: 2.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:05 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 9.50e+00, forcesx_mae: 2.23e-01, forcesy_mae: 4.82e-01, forcesz_mae: 3.30e-01, forces_mae: 3.45e-01, forces_cosine_similarity: 1.79e-01, forces_magnitude_error: 4.21e-01, loss: 4.95e+01, lr: 5.00e-04, epoch: 2.50e-01, step: 2.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:10 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.92e+00, forcesx_mae: 9.23e-02, forcesy_mae: 1.45e-01, forcesz_mae: 1.41e-01, forces_mae: 1.26e-01, forces_cosine_similarity: 1.35e-01, forces_magnitude_error: 1.37e-01, loss: 1.81e+01, lr: 5.00e-04, epoch: 3.00e-01, step: 3.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:15 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.27e+00, forcesx_mae: 9.02e-02, forcesy_mae: 1.01e-01, forcesz_mae: 1.37e-01, forces_mae: 1.09e-01, forces_cosine_similarity: 1.75e-01, forces_magnitude_error: 1.57e-01, loss: 1.53e+01, lr: 5.00e-04, epoch: 3.50e-01, step: 3.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:20 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.54e+00, forcesx_mae: 1.15e-01, forcesy_mae: 2.91e-01, forcesz_mae: 1.59e-01, forces_mae: 1.88e-01, forces_cosine_similarity: 1.06e-01, forces_magnitude_error: 2.78e-01, loss: 2.80e+01, lr: 5.00e-04, epoch: 4.00e-01, step: 4.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 5.46e+00, forcesx_mae: 2.24e-01, forcesy_mae: 4.34e-01, forcesz_mae: 2.30e-01, forces_mae: 2.96e-01, forces_cosine_similarity: 6.79e-02, forces_magnitude_error: 5.51e-01, loss: 3.59e+01, lr: 5.00e-04, epoch: 4.50e-01, step: 4.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:31 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.35e+00, forcesx_mae: 9.93e-02, forcesy_mae: 1.12e-01, forcesz_mae: 1.72e-01, forces_mae: 1.28e-01, forces_cosine_similarity: 2.90e-01, forces_magnitude_error: 2.32e-01, loss: 1.78e+01, lr: 5.00e-04, epoch: 5.00e-01, step: 5.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:36 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.67e+00, forcesx_mae: 1.29e-01, forcesy_mae: 2.21e-01, forcesz_mae: 1.52e-01, forces_mae: 1.67e-01, forces_cosine_similarity: 8.87e-02, forces_magnitude_error: 1.98e-01, loss: 2.35e+01, lr: 5.00e-04, epoch: 5.50e-01, step: 5.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:42 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.80e+00, forcesx_mae: 1.35e-01, forcesy_mae: 1.67e-01, forcesz_mae: 1.72e-01, forces_mae: 1.58e-01, forces_cosine_similarity: 1.41e-01, forces_magnitude_error: 2.35e-01, loss: 1.84e+01, lr: 5.00e-04, epoch: 6.00e-01, step: 6.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:47 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.54e+00, forcesx_mae: 1.12e-01, forcesy_mae: 1.63e-01, forcesz_mae: 1.58e-01, forces_mae: 1.44e-01, forces_cosine_similarity: 2.15e-01, forces_magnitude_error: 1.86e-01, loss: 1.87e+01, lr: 5.00e-04, epoch: 6.50e-01, step: 6.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:52 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 5.65e+00, forcesx_mae: 8.02e-02, forcesy_mae: 7.68e-02, forcesz_mae: 1.02e-01, forces_mae: 8.65e-02, forces_cosine_similarity: 2.34e-01, forces_magnitude_error: 1.13e-01, loss: 1.31e+01, lr: 5.00e-04, epoch: 7.00e-01, step: 7.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:39:58 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.50e+00, forcesx_mae: 1.66e-01, forcesy_mae: 1.86e-01, forcesz_mae: 2.47e-01, forces_mae: 2.00e-01, forces_cosine_similarity: 1.88e-01, forces_magnitude_error: 3.13e-01, loss: 2.87e+01, lr: 5.00e-04, epoch: 7.50e-01, step: 7.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:03 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.48e+00, forcesx_mae: 9.29e-02, forcesy_mae: 1.61e-01, forcesz_mae: 1.26e-01, forces_mae: 1.27e-01, forces_cosine_similarity: 1.74e-01, forces_magnitude_error: 1.60e-01, loss: 1.78e+01, lr: 5.00e-04, epoch: 8.00e-01, step: 8.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:08 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 4.68e+00, forcesx_mae: 1.63e-01, forcesy_mae: 2.52e-01, forcesz_mae: 2.53e-01, forces_mae: 2.23e-01, forces_cosine_similarity: 1.71e-01, forces_magnitude_error: 3.72e-01, loss: 3.41e+01, lr: 5.00e-04, epoch: 8.50e-01, step: 8.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:14 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.49e+00, forcesx_mae: 4.96e-02, forcesy_mae: 7.33e-02, forcesz_mae: 5.31e-02, forces_mae: 5.86e-02, forces_cosine_similarity: 1.68e-01, forces_magnitude_error: 7.36e-02, loss: 7.56e+00, lr: 5.00e-04, epoch: 9.00e-01, step: 9.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:19 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.72e+00, forcesx_mae: 2.11e-01, forcesy_mae: 2.87e-01, forcesz_mae: 3.33e-01, forces_mae: 2.77e-01, forces_cosine_similarity: 2.29e-01, forces_magnitude_error: 5.15e-01, loss: 3.04e+01, lr: 5.00e-04, epoch: 9.50e-01, step: 9.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:24 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.20e-01, forcesx_mae: 3.24e-02, forcesy_mae: 3.54e-02, forcesz_mae: 5.30e-02, forces_mae: 4.03e-02, forces_cosine_similarity: 2.61e-01, forces_magnitude_error: 5.69e-02, loss: 5.80e+00, lr: 5.00e-04, epoch: 1.00e+00, step: 1.00e+02
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:24 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:00&lt;00:07,  2.55it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:00&lt;00:05,  3.21it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:00&lt;00:04,  3.65it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:01&lt;00:03,  4.03it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:01&lt;00:03,  4.32it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:01&lt;00:03,  4.29it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:01&lt;00:02,  4.43it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:01&lt;00:02,  4.50it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:02&lt;00:02,  4.58it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:02&lt;00:02,  4.66it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:02&lt;00:01,  4.60it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:02&lt;00:01,  4.70it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:02&lt;00:01,  4.77it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:03&lt;00:01,  4.79it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:03&lt;00:01,  4.82it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:03&lt;00:00,  4.74it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:03&lt;00:00,  4.77it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:04&lt;00:00,  4.81it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:04&lt;00:00,  4.88it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.89it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.48it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 9.1440, forcesx_mae: 0.3023, forcesy_mae: 0.2598, forcesz_mae: 0.4722, forces_mae: 0.3448, forces_cosine_similarity: 0.0188, forces_magnitude_error: 0.4904, loss: 53.1097, epoch: 1.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="validate-the-model">
+<h3>Validate the model<a class="headerlink" href="#validate-the-model" title="Link to this heading">#</a></h3>
+<section id="load-the-best-checkpoint">
+<h4>Load the best checkpoint<a class="headerlink" href="#load-the-best-checkpoint" title="Link to this heading">#</a></h4>
+<p>The <code class="docutils literal notranslate"><span class="pre">checkpoints</span></code> directory contains two checkpoint files:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">best_checkpoint.pt</span></code> - Model parameters corresponding to the best val performance during training. Used for predictions.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">checkpoint.pt</span></code> - Model parameters and optimizer settings for the latest checkpoint. Used to continue training.</p></li>
+</ul>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># The `best_checpoint.pt` file contains the checkpoint with the best val performance</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">trainer</span><span class="o">.</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;cmd&quot;</span><span class="p">][</span><span class="s2">&quot;checkpoint_dir&quot;</span><span class="p">],</span> <span class="s2">&quot;best_checkpoint.pt&quot;</span><span class="p">)</span>
+<span class="n">checkpoint_path</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;./checkpoints/2025-01-21-19-37-36-S2EF-example/best_checkpoint.pt&#39;
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Append the dataset with the test set. We use the same val set for demonstration.</span>
+
+<span class="c1"># Dataset</span>
+<span class="n">dataset</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+  <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">val_src</span><span class="p">},</span> <span class="c1"># test set (optional)</span>
+<span class="p">)</span>
+<span class="n">dataset</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[{&#39;src&#39;: &#39;data/s2ef/train_100&#39;,
+  &#39;normalize_labels&#39;: True,
+  &#39;target_mean&#39;: 0.45158625849998374,
+  &#39;target_std&#39;: 1.5156444102461508,
+  &#39;grad_target_mean&#39;: 0.0,
+  &#39;grad_target_std&#39;: 1.5156444102461508},
+ {&#39;src&#39;: &#39;data/s2ef/val_20&#39;},
+ {&#39;src&#39;: &#39;data/s2ef/val_20&#39;}]
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">pretrained_trainer</span> <span class="o">=</span> <span class="n">OCPTrainer</span><span class="p">(</span>
+    <span class="n">task</span><span class="o">=</span><span class="n">task</span><span class="p">,</span>
+    <span class="n">model</span><span class="o">=</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">model</span><span class="p">),</span> <span class="c1"># copied for later use, not necessary in practice.</span>
+    <span class="n">dataset</span><span class="o">=</span><span class="n">dataset</span><span class="p">,</span>
+    <span class="n">optimizer</span><span class="o">=</span><span class="n">optimizer</span><span class="p">,</span>
+    <span class="n">outputs</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">loss_functions</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">evaluation_metrics</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">&quot;s2ef&quot;</span><span class="p">,</span>
+    <span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;S2EF-val-example&quot;</span><span class="p">,</span>
+    <span class="n">run_dir</span><span class="o">=</span><span class="s2">&quot;./&quot;</span><span class="p">,</span> <span class="c1"># directory to save results if is_debug=False. Prediction files are saved here so be careful not to override!</span>
+    <span class="n">is_debug</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="c1"># if True, do not save checkpoint, logs, or results</span>
+    <span class="n">print_every</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
+    <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="c1"># random seed to use</span>
+    <span class="n">logger</span><span class="o">=</span><span class="s2">&quot;tensorboard&quot;</span><span class="p">,</span> <span class="c1"># logger of choice (tensorboard and wandb supported)</span>
+    <span class="n">local_rank</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="n">amp</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="c1"># use PyTorch Automatic Mixed Precision (faster training and less memory usage),</span>
+<span class="p">)</span>
+
+<span class="n">pretrained_trainer</span><span class="o">.</span><span class="n">load_checkpoint</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1306: (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: true
+cmd:
+  checkpoint_dir: ./checkpoints/2025-01-21-19-39-44-S2EF-val-example
+  commit: c162617
+  identifier: S2EF-val-example
+  logs_dir: ./logs/tensorboard/2025-01-21-19-39-44-S2EF-val-example
+  print_every: 5
+  results_dir: ./results/2025-01-21-19-39-44-S2EF-val-example
+  seed: 0
+  timestamp_id: 2025-01-21-19-39-44-S2EF-val-example
+  version: 0.1.dev1+gc162617
+dataset:
+  format: lmdb
+  grad_target_mean: 0.0
+  grad_target_std: !!python/object/apply:numpy.core.multiarray.scalar
+  - &amp;id001 !!python/object/apply:numpy.dtype
+    args:
+    - f8
+    - false
+    - true
+    state: !!python/tuple
+    - 3
+    - &lt;
+    - null
+    - null
+    - null
+    - -1
+    - -1
+    - 0
+  - !!binary |
+    dPVlWhRA+D8=
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  src: data/s2ef/train_100
+  target_mean: !!python/object/apply:numpy.core.multiarray.scalar
+  - *id001
+  - !!binary |
+    zSXlDMrm3D8=
+  target_std: !!python/object/apply:numpy.core.multiarray.scalar
+  - *id001
+  - !!binary |
+    dPVlWhRA+D8=
+  transforms:
+    normalizer:
+      energy:
+        mean: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          zSXlDMrm3D8=
+        stdev: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          dPVlWhRA+D8=
+      forces:
+        mean: 0.0
+        stdev: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          dPVlWhRA+D8=
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+gp_gpus: null
+gpus: 0
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  activation: silu
+  atom_edge_interaction: true
+  atom_interaction: true
+  cbf:
+    name: spherical_harmonics
+  cutoff: 12.0
+  cutoff_aeaint: 12.0
+  cutoff_aint: 12.0
+  cutoff_qint: 12.0
+  direct_forces: true
+  edge_atom_interaction: true
+  emb_size_aint_in: 64
+  emb_size_aint_out: 64
+  emb_size_atom: 64
+  emb_size_cbf: 16
+  emb_size_edge: 64
+  emb_size_quad_in: 32
+  emb_size_quad_out: 32
+  emb_size_rbf: 16
+  emb_size_sbf: 32
+  emb_size_trip_in: 64
+  emb_size_trip_out: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  forces_coupled: false
+  max_neighbors: 30
+  max_neighbors_aeaint: 20
+  max_neighbors_aint: 1000
+  max_neighbors_qint: 8
+  name: gemnet_oc
+  num_after_skip: 2
+  num_atom: 3
+  num_atom_emb_layers: 2
+  num_before_skip: 2
+  num_blocks: 4
+  num_concat: 1
+  num_global_out_layers: 2
+  num_output_afteratom: 3
+  num_radial: 128
+  num_spherical: 7
+  output_init: HeOrthogonal
+  qint_tags:
+  - 1
+  - 2
+  quad_interaction: true
+  rbf:
+    name: gaussian
+  regress_forces: true
+  sbf:
+    name: legendre_outer
+  scale_file: ./gemnet-oc.pt
+optim:
+  batch_size: 1
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  eval_batch_size: 1
+  factor: 0.8
+  force_coefficient: 100
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0005
+  max_epochs: 1
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm: {}
+task:
+  dataset: lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset:
+  src: data/s2ef/val_20
+trainer: s2ef
+val_dataset:
+  src: data/s2ef/val_20
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: gemnet_oc
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded GemNetOC with 2596214 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:37: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  scale_dict = torch.load(path)
+2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/logger.py:157: (WARNING): log_summary for Tensorboard not supported
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:358: (INFO): Loading dataset: lmdb
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/train_100&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3392208da0&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/val_20&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f339220ac90&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/val_20&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f339220aa50&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;] have been saved to: ./checkpoints/2025-01-21-19-39-44-S2EF-val-example/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;, &#39;forces&#39;] have been saved to: ./checkpoints/2025-01-21-19-39-44-S2EF-val-example/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output energy: mean=0.45158625849998374, rmsd=1.5156444102461508.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output forces: mean=0.0, rmsd=1.5156444102461508.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:606: (INFO): Loading checkpoint from: ./checkpoints/2025-01-21-19-37-36-S2EF-example/best_checkpoint.pt
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:607: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=map_location)
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="run-on-the-test-set">
+<h4>Run on the test set<a class="headerlink" href="#run-on-the-test-set" title="Link to this heading">#</a></h4>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># make predictions on the existing test_loader</span>
+<span class="n">predictions</span> <span class="o">=</span> <span class="n">pretrained_trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">pretrained_trainer</span><span class="o">.</span><span class="n">test_loader</span><span class="p">,</span> <span class="n">results_file</span><span class="o">=</span><span class="s2">&quot;s2ef_results&quot;</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:30 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:445: (INFO): Predicting on test.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:00&lt;00:07,  2.48it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:00&lt;00:05,  3.27it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:00&lt;00:04,  3.75it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:01&lt;00:03,  4.10it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:01&lt;00:03,  4.19it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:01&lt;00:03,  4.21it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:01&lt;00:02,  4.35it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:01&lt;00:02,  4.45it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:02&lt;00:02,  4.50it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:02&lt;00:02,  4.50it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:02&lt;00:01,  4.61it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:02&lt;00:01,  4.71it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:03&lt;00:01,  4.75it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:03&lt;00:01,  4.79it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:03&lt;00:01,  4.72it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:03&lt;00:00,  4.82it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:03&lt;00:00,  4.82it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:04&lt;00:00,  4.88it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:04&lt;00:00,  4.93it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.85it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.45it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:34 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:1003: (INFO): Writing results to ./results/2025-01-21-19-39-44-S2EF-val-example/s2ef_s2ef_results.npz
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">energies</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="s2">&quot;energy&quot;</span><span class="p">]</span>
+<span class="n">forces</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="s2">&quot;forces&quot;</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+</section>
+<section id="initial-structure-to-relaxed-energy-is2re">
+<h2>Initial Structure to Relaxed Energy (IS2RE) <a name="is2re"></a><a class="headerlink" href="#initial-structure-to-relaxed-energy-is2re" title="Link to this heading">#</a></h2>
+<p>The IS2RE task predicts the relaxed energy (energy of the relaxed state) given the initial state of a system. One approach to this is by training a regression model mapping the initial structure to the relaxed energy. We call this the <em>direct</em> approach to the IS2RE task.</p>
+<p>An alternative is to perform a structure relaxation using an S2EF model to obtain the relaxed state and compute the energy of that state (see the IS2RS task below for details about relaxation).</p>
+<section id="steps-for-training-an-is2re-model">
+<h3>Steps for training an IS2RE model<a class="headerlink" href="#steps-for-training-an-is2re-model" title="Link to this heading">#</a></h3>
+<ol class="arabic simple">
+<li><p>Define or load a configuration (config), which includes the following</p></li>
+</ol>
+<ul class="simple">
+<li><p>task</p></li>
+<li><p>model</p></li>
+<li><p>optimizer</p></li>
+<li><p>dataset</p></li>
+<li><p>trainer</p></li>
+</ul>
+<ol class="arabic simple" start="2">
+<li><p>Create an EnergyTrainer object</p></li>
+<li><p>Train the model</p></li>
+<li><p>Validate the model</p></li>
+</ol>
+</section>
+<section id="id1">
+<h3>Imports<a class="headerlink" href="#id1" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.trainers</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPTrainer</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">LmdbDataset</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">models</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common</span><span class="w"> </span><span class="kn">import</span> <span class="n">logger</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">setup_logging</span>
+<span class="n">setup_logging</span><span class="p">()</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">copy</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id2">
+<h3>Dataset<a class="headerlink" href="#id2" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">train_src</span> <span class="o">=</span> <span class="s2">&quot;data/is2re/train_100/data.lmdb&quot;</span>
+<span class="n">val_src</span> <span class="o">=</span> <span class="s2">&quot;data/is2re/val_20/data.lmdb&quot;</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id3">
+<h3>Normalize data<a class="headerlink" href="#id3" title="Link to this heading">#</a></h3>
+<p>If you wish to normalize the targets we must compute the mean and standard deviation for our energy values.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">train_dataset</span> <span class="o">=</span> <span class="n">LmdbDataset</span><span class="p">({</span><span class="s2">&quot;src&quot;</span><span class="p">:</span> <span class="n">train_src</span><span class="p">})</span>
+
+<span class="n">energies</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">train_dataset</span><span class="p">:</span>
+    <span class="n">energies</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">y_relaxed</span><span class="p">)</span>
+
+<span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">energies</span><span class="p">)</span>
+<span class="n">stdev</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">energies</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id4">
+<h3>Define the Config<a class="headerlink" href="#id4" title="Link to this heading">#</a></h3>
+<p>For this example, we will explicitly define the config; however, a set of default configs can be found <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/tree/master/configs">here</a>. Default config yaml files can easily be loaded with the following <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/aa8e44d50229fce887b3a94a5661c4f85cd73eed/ocpmodels/common/utils.py#L361-L400">utility</a>. Loading a yaml config is preferrable when launching jobs from the command line. We have included our best models’ config files here for reference.</p>
+<p><strong>Note</strong> - we only train for a single epoch with a reduced batch size (GPU memory constraints) for demonstration purposes, modify accordingly for full convergence.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Task</span>
+<span class="n">task</span> <span class="o">=</span> <span class="p">{</span>
+  <span class="s2">&quot;dataset&quot;</span><span class="p">:</span> <span class="s2">&quot;single_point_lmdb&quot;</span><span class="p">,</span>
+  <span class="s2">&quot;description&quot;</span><span class="p">:</span> <span class="s2">&quot;Relaxed state energy prediction from initial structure.&quot;</span><span class="p">,</span>
+  <span class="s2">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;regression&quot;</span><span class="p">,</span>
+  <span class="s2">&quot;metric&quot;</span><span class="p">:</span> <span class="s2">&quot;mae&quot;</span><span class="p">,</span>
+  <span class="s2">&quot;labels&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;relaxed energy&quot;</span><span class="p">],</span>
+<span class="p">}</span>
+<span class="c1"># Model</span>
+<span class="n">model</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;gemnet_t&#39;</span><span class="p">,</span>
+    <span class="s2">&quot;num_spherical&quot;</span><span class="p">:</span> <span class="mi">7</span><span class="p">,</span>
+    <span class="s2">&quot;num_radial&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+    <span class="s2">&quot;num_blocks&quot;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_atom&quot;</span><span class="p">:</span> <span class="mi">256</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_edge&quot;</span><span class="p">:</span> <span class="mi">512</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_trip&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_rbf&quot;</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_cbf&quot;</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_bil_trip&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+    <span class="s2">&quot;num_before_skip&quot;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s2">&quot;num_after_skip&quot;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="s2">&quot;num_concat&quot;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s2">&quot;num_atom&quot;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="s2">&quot;cutoff&quot;</span><span class="p">:</span> <span class="mf">6.0</span><span class="p">,</span>
+    <span class="s2">&quot;max_neighbors&quot;</span><span class="p">:</span> <span class="mi">50</span><span class="p">,</span>
+    <span class="s2">&quot;rbf&quot;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;gaussian&quot;</span><span class="p">},</span>
+    <span class="s2">&quot;envelope&quot;</span><span class="p">:</span> <span class="p">{</span>
+      <span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;polynomial&quot;</span><span class="p">,</span>
+      <span class="s2">&quot;exponent&quot;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="s2">&quot;cbf&quot;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;spherical_harmonics&quot;</span><span class="p">},</span>
+    <span class="s2">&quot;extensive&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s2">&quot;otf_graph&quot;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="s2">&quot;output_init&quot;</span><span class="p">:</span> <span class="s2">&quot;HeOrthogonal&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;activation&quot;</span><span class="p">:</span> <span class="s2">&quot;silu&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;regress_forces&quot;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="s2">&quot;direct_forces&quot;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+<span class="p">}</span>
+<span class="c1"># Optimizer</span>
+<span class="n">optimizer</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;batch_size&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>         <span class="c1"># originally 32</span>
+    <span class="s1">&#39;eval_batch_size&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>    <span class="c1"># originally 32</span>
+    <span class="s1">&#39;num_workers&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="s1">&#39;lr_initial&#39;</span><span class="p">:</span> <span class="mf">1.e-4</span><span class="p">,</span>
+    <span class="s1">&#39;optimizer&#39;</span><span class="p">:</span> <span class="s1">&#39;AdamW&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;optimizer_params&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;amsgrad&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">},</span>
+    <span class="s1">&#39;scheduler&#39;</span><span class="p">:</span> <span class="s2">&quot;ReduceLROnPlateau&quot;</span><span class="p">,</span>
+    <span class="s1">&#39;mode&#39;</span><span class="p">:</span> <span class="s2">&quot;min&quot;</span><span class="p">,</span>
+    <span class="s1">&#39;factor&#39;</span><span class="p">:</span> <span class="mf">0.8</span><span class="p">,</span>
+    <span class="s1">&#39;patience&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="s1">&#39;max_epochs&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>         <span class="c1"># used for demonstration purposes</span>
+    <span class="s1">&#39;ema_decay&#39;</span><span class="p">:</span> <span class="mf">0.999</span><span class="p">,</span>
+    <span class="s1">&#39;clip_grad_norm&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span>
+    <span class="s1">&#39;loss_energy&#39;</span><span class="p">:</span> <span class="s1">&#39;mae&#39;</span><span class="p">,</span>
+<span class="p">}</span>
+<span class="c1"># Dataset</span>
+<span class="n">dataset</span> <span class="o">=</span> <span class="p">[</span>
+  <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">train_src</span><span class="p">,</span>
+   <span class="s1">&#39;normalize_labels&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+   <span class="s1">&#39;target_mean&#39;</span><span class="p">:</span> <span class="n">mean</span><span class="p">,</span>
+   <span class="s1">&#39;target_std&#39;</span><span class="p">:</span> <span class="n">stdev</span><span class="p">,</span>
+  <span class="p">},</span> <span class="c1"># train set</span>
+  <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">val_src</span><span class="p">},</span> <span class="c1"># val set (optional)</span>
+<span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>###Create EnergyTrainer</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">energy_trainer</span> <span class="o">=</span> <span class="n">OCPTrainer</span><span class="p">(</span>
+    <span class="n">task</span><span class="o">=</span><span class="n">task</span><span class="p">,</span>
+    <span class="n">model</span><span class="o">=</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">model</span><span class="p">),</span> <span class="c1"># copied for later use, not necessary in practice.</span>
+    <span class="n">dataset</span><span class="o">=</span><span class="n">dataset</span><span class="p">,</span>
+    <span class="n">optimizer</span><span class="o">=</span><span class="n">optimizer</span><span class="p">,</span>
+    <span class="n">outputs</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">loss_functions</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">evaluation_metrics</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">&quot;is2re&quot;</span><span class="p">,</span>
+    <span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;IS2RE-example&quot;</span><span class="p">,</span>
+    <span class="n">run_dir</span><span class="o">=</span><span class="s2">&quot;./&quot;</span><span class="p">,</span> <span class="c1"># directory to save results if is_debug=False. Prediction files are saved here so be careful not to override!</span>
+    <span class="n">is_debug</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="c1"># if True, do not save checkpoint, logs, or results</span>
+    <span class="n">print_every</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
+    <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="c1"># random seed to use</span>
+    <span class="n">logger</span><span class="o">=</span><span class="s2">&quot;tensorboard&quot;</span><span class="p">,</span> <span class="c1"># logger of choice (tensorboard and wandb supported)</span>
+    <span class="n">local_rank</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="n">amp</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="c1"># use PyTorch Automatic Mixed Precision (faster training and less memory usage),</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:34 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1306: (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:34 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: true
+cmd:
+  checkpoint_dir: ./checkpoints/2025-01-21-19-39-44-IS2RE-example
+  commit: c162617
+  identifier: IS2RE-example
+  logs_dir: ./logs/tensorboard/2025-01-21-19-39-44-IS2RE-example
+  print_every: 5
+  results_dir: ./results/2025-01-21-19-39-44-IS2RE-example
+  seed: 0
+  timestamp_id: 2025-01-21-19-39-44-IS2RE-example
+  version: 0.1.dev1+gc162617
+dataset:
+  format: single_point_lmdb
+  key_mapping:
+    y_relaxed: energy
+  normalize_labels: true
+  src: data/is2re/train_100/data.lmdb
+  target_mean: !!python/object/apply:numpy.core.multiarray.scalar
+  - &amp;id001 !!python/object/apply:numpy.dtype
+    args:
+    - f8
+    - false
+    - true
+    state: !!python/tuple
+    - 3
+    - &lt;
+    - null
+    - null
+    - null
+    - -1
+    - -1
+    - 0
+  - !!binary |
+    MjyJzgpQ978=
+  target_std: !!python/object/apply:numpy.core.multiarray.scalar
+  - *id001
+  - !!binary |
+    PnyyzMtk/T8=
+  transforms:
+    normalizer:
+      energy:
+        mean: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          MjyJzgpQ978=
+        stdev: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          PnyyzMtk/T8=
+      forces:
+        mean: 0
+        stdev: 1
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    - mse
+    - energy_within_threshold
+gp_gpus: null
+gpus: 0
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+model:
+  activation: silu
+  cbf:
+    name: spherical_harmonics
+  cutoff: 6.0
+  direct_forces: false
+  emb_size_atom: 256
+  emb_size_bil_trip: 64
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_rbf: 16
+  emb_size_trip: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  max_neighbors: 50
+  name: gemnet_t
+  num_after_skip: 2
+  num_atom: 3
+  num_before_skip: 1
+  num_blocks: 5
+  num_concat: 1
+  num_radial: 64
+  num_spherical: 7
+  otf_graph: false
+  output_init: HeOrthogonal
+  rbf:
+    name: gaussian
+  regress_forces: false
+optim:
+  batch_size: 1
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  eval_batch_size: 1
+  factor: 0.8
+  loss_energy: mae
+  lr_initial: 0.0001
+  max_epochs: 1
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+outputs:
+  energy:
+    level: system
+relax_dataset: {}
+slurm: {}
+task:
+  dataset: single_point_lmdb
+  description: Relaxed state energy prediction from initial structure.
+  labels:
+  - relaxed energy
+  metric: mae
+  type: regression
+test_dataset: {}
+trainer: is2re
+val_dataset:
+  src: data/is2re/val_20/data.lmdb
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:34 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: gemnet_t
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded GemNetT with 22774037 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/logger.py:157: (WARNING): log_summary for Tensorboard not supported
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:358: (INFO): Loading dataset: single_point_lmdb
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/is2re/train_100/data.lmdb&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3392031fa0&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/is2re/val_20/data.lmdb&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f33920320c0&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;] have been saved to: ./checkpoints/2025-01-21-19-39-44-IS2RE-example/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;, &#39;forces&#39;] have been saved to: ./checkpoints/2025-01-21-19-39-44-IS2RE-example/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output energy: mean=-1.4570415561499996, rmsd=1.8371084209427546.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output forces: mean=0, rmsd=1.
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id5">
+<h3>Train the Model<a class="headerlink" href="#id5" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">energy_trainer</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_0_sum (out_blocks.0.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_1_sum (out_blocks.1.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_2_sum (out_blocks.2.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_3_sum (out_blocks.3.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_4_sum (out_blocks.4.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_5_sum (out_blocks.5.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_1_had_rbf (int_blocks.0.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_1_sum_cbf (int_blocks.0.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_1_sum (int_blocks.0.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_2_had_rbf (int_blocks.1.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_2_sum_cbf (int_blocks.1.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_2_sum (int_blocks.1.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_3_had_rbf (int_blocks.2.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_3_sum_cbf (int_blocks.2.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_3_sum (int_blocks.2.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_4_had_rbf (int_blocks.3.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_4_sum_cbf (int_blocks.3.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_4_sum (int_blocks.3.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_5_had_rbf (int_blocks.4.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_5_sum_cbf (int_blocks.4.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_5_sum (int_blocks.4.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 4.10e+01, energy_mse: 3.12e+03, energy_within_threshold: 0.00e+00, loss: 2.23e+01, lr: 1.00e-04, epoch: 5.00e-02, step: 5.00e+00
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:40:59 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.19e+02, energy_mse: 2.32e+04, energy_within_threshold: 0.00e+00, loss: 6.47e+01, lr: 1.00e-04, epoch: 1.00e-01, step: 1.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:41:12 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.64e+02, energy_mse: 4.57e+04, energy_within_threshold: 0.00e+00, loss: 8.95e+01, lr: 1.00e-04, epoch: 1.50e-01, step: 1.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:41:25 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.28e+02, energy_mse: 2.71e+04, energy_within_threshold: 0.00e+00, loss: 6.96e+01, lr: 1.00e-04, epoch: 2.00e-01, step: 2.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:41:39 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 2.05e+02, energy_mse: 4.59e+04, energy_within_threshold: 0.00e+00, loss: 1.12e+02, lr: 1.00e-04, epoch: 2.50e-01, step: 2.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:41:49 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 9.08e+01, energy_mse: 1.17e+04, energy_within_threshold: 0.00e+00, loss: 4.95e+01, lr: 1.00e-04, epoch: 3.00e-01, step: 3.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:42:05 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 2.48e+02, energy_mse: 9.34e+04, energy_within_threshold: 0.00e+00, loss: 1.35e+02, lr: 1.00e-04, epoch: 3.50e-01, step: 3.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:42:14 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 9.97e+01, energy_mse: 1.46e+04, energy_within_threshold: 0.00e+00, loss: 5.43e+01, lr: 1.00e-04, epoch: 4.00e-01, step: 4.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:42:28 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.54e+02, energy_mse: 3.14e+04, energy_within_threshold: 0.00e+00, loss: 8.38e+01, lr: 1.00e-04, epoch: 4.50e-01, step: 4.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:42:47 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.65e+02, energy_mse: 4.05e+04, energy_within_threshold: 0.00e+00, loss: 8.98e+01, lr: 1.00e-04, epoch: 5.00e-01, step: 5.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:42:57 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.25e+02, energy_mse: 3.25e+04, energy_within_threshold: 0.00e+00, loss: 6.78e+01, lr: 1.00e-04, epoch: 5.50e-01, step: 5.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:43:09 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.36e+02, energy_mse: 3.34e+04, energy_within_threshold: 0.00e+00, loss: 7.41e+01, lr: 1.00e-04, epoch: 6.00e-01, step: 6.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:43:21 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.03e+02, energy_mse: 1.22e+04, energy_within_threshold: 0.00e+00, loss: 5.61e+01, lr: 1.00e-04, epoch: 6.50e-01, step: 6.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:43:32 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.35e+02, energy_mse: 4.46e+04, energy_within_threshold: 0.00e+00, loss: 7.36e+01, lr: 1.00e-04, epoch: 7.00e-01, step: 7.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:43:44 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.73e+02, energy_mse: 4.67e+04, energy_within_threshold: 0.00e+00, loss: 9.41e+01, lr: 1.00e-04, epoch: 7.50e-01, step: 7.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:43:54 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 9.48e+01, energy_mse: 1.10e+04, energy_within_threshold: 0.00e+00, loss: 5.16e+01, lr: 1.00e-04, epoch: 8.00e-01, step: 8.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:10 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 5.78e+01, energy_mse: 5.72e+03, energy_within_threshold: 0.00e+00, loss: 3.15e+01, lr: 1.00e-04, epoch: 8.50e-01, step: 8.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:19 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.34e+02, energy_mse: 6.19e+04, energy_within_threshold: 0.00e+00, loss: 7.28e+01, lr: 1.00e-04, epoch: 9.00e-01, step: 9.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:33 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 1.23e+02, energy_mse: 1.90e+04, energy_within_threshold: 0.00e+00, loss: 6.71e+01, lr: 1.00e-04, epoch: 9.50e-01, step: 9.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_mae: 8.00e+01, energy_mse: 1.03e+04, energy_within_threshold: 0.00e+00, loss: 4.36e+01, lr: 1.00e-04, epoch: 1.00e+00, step: 1.00e+02
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_0_sum (out_blocks.0.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_1_sum (out_blocks.1.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_2_sum (out_blocks.2.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_3_sum (out_blocks.3.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_4_sum (out_blocks.4.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_5_sum (out_blocks.5.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_1_had_rbf (int_blocks.0.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_1_sum_cbf (int_blocks.0.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_1_sum (int_blocks.0.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_2_had_rbf (int_blocks.1.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_2_sum_cbf (int_blocks.1.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_2_sum (int_blocks.1.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_3_had_rbf (int_blocks.2.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_3_sum_cbf (int_blocks.2.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_3_sum (int_blocks.2.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_4_had_rbf (int_blocks.3.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_4_sum_cbf (int_blocks.3.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_4_sum (int_blocks.3.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_5_had_rbf (int_blocks.4.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_5_sum_cbf (int_blocks.4.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_5_sum (int_blocks.4.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:44:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:01&lt;00:21,  1.15s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:02&lt;00:21,  1.22s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:03&lt;00:21,  1.25s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:04&lt;00:18,  1.14s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:05&lt;00:14,  1.02it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:06&lt;00:15,  1.13s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:08&lt;00:15,  1.21s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:08&lt;00:11,  1.02it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:09&lt;00:10,  1.01it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:12&lt;00:15,  1.56s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:13&lt;00:12,  1.40s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:14&lt;00:09,  1.25s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:15&lt;00:08,  1.23s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:16&lt;00:05,  1.02it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:16&lt;00:03,  1.39it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:16&lt;00:02,  1.53it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:17&lt;00:01,  1.61it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:18&lt;00:01,  1.19it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:19&lt;00:00,  1.39it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:19&lt;00:00,  1.45it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:19&lt;00:00,  1.02it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:03 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_mae: 56.5138, energy_mse: 6687.5226, energy_within_threshold: 0.0000, loss: 30.7624, epoch: 1.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id6">
+<h3>Validate the Model<a class="headerlink" href="#id6" title="Link to this heading">#</a></h3>
+<section id="id7">
+<h4>Load the best checkpoint<a class="headerlink" href="#id7" title="Link to this heading">#</a></h4>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># The `best_checpoint.pt` file contains the checkpoint with the best val performance</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">energy_trainer</span><span class="o">.</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;cmd&quot;</span><span class="p">][</span><span class="s2">&quot;checkpoint_dir&quot;</span><span class="p">],</span> <span class="s2">&quot;best_checkpoint.pt&quot;</span><span class="p">)</span>
+<span class="n">checkpoint_path</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;./checkpoints/2025-01-21-19-39-44-IS2RE-example/best_checkpoint.pt&#39;
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Append the dataset with the test set. We use the same val set for demonstration.</span>
+
+<span class="c1"># Dataset</span>
+<span class="n">dataset</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+  <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">val_src</span><span class="p">},</span> <span class="c1"># test set (optional)</span>
+<span class="p">)</span>
+<span class="n">dataset</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[{&#39;src&#39;: &#39;data/is2re/train_100/data.lmdb&#39;,
+  &#39;normalize_labels&#39;: True,
+  &#39;target_mean&#39;: -1.4570415561499996,
+  &#39;target_std&#39;: 1.8371084209427546},
+ {&#39;src&#39;: &#39;data/is2re/val_20/data.lmdb&#39;},
+ {&#39;src&#39;: &#39;data/is2re/val_20/data.lmdb&#39;}]
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">pretrained_energy_trainer</span> <span class="o">=</span> <span class="n">OCPTrainer</span><span class="p">(</span>
+    <span class="n">task</span><span class="o">=</span><span class="n">task</span><span class="p">,</span>
+    <span class="n">model</span><span class="o">=</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">model</span><span class="p">),</span> <span class="c1"># copied for later use, not necessary in practice.</span>
+    <span class="n">dataset</span><span class="o">=</span><span class="n">dataset</span><span class="p">,</span>
+    <span class="n">optimizer</span><span class="o">=</span><span class="n">optimizer</span><span class="p">,</span>
+    <span class="n">outputs</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">loss_functions</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">evaluation_metrics</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">&quot;is2re&quot;</span><span class="p">,</span>
+    <span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;IS2RE-val-example&quot;</span><span class="p">,</span>
+    <span class="n">run_dir</span><span class="o">=</span><span class="s2">&quot;./&quot;</span><span class="p">,</span> <span class="c1"># directory to save results if is_debug=False. Prediction files are saved here so be careful not to override!</span>
+    <span class="n">is_debug</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="c1"># if True, do not save checkpoint, logs, or results</span>
+    <span class="n">print_every</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
+    <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="c1"># random seed to use</span>
+    <span class="n">logger</span><span class="o">=</span><span class="s2">&quot;tensorboard&quot;</span><span class="p">,</span> <span class="c1"># logger of choice (tensorboard and wandb supported)</span>
+    <span class="n">local_rank</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="n">amp</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="c1"># use PyTorch Automatic Mixed Precision (faster training and less memory usage),</span>
+<span class="p">)</span>
+
+<span class="n">pretrained_energy_trainer</span><span class="o">.</span><span class="n">load_checkpoint</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:03 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1306: (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:03 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: true
+cmd:
+  checkpoint_dir: ./checkpoints/2025-01-21-19-44-00-IS2RE-val-example
+  commit: c162617
+  identifier: IS2RE-val-example
+  logs_dir: ./logs/tensorboard/2025-01-21-19-44-00-IS2RE-val-example
+  print_every: 5
+  results_dir: ./results/2025-01-21-19-44-00-IS2RE-val-example
+  seed: 0
+  timestamp_id: 2025-01-21-19-44-00-IS2RE-val-example
+  version: 0.1.dev1+gc162617
+dataset:
+  format: single_point_lmdb
+  key_mapping:
+    y_relaxed: energy
+  normalize_labels: true
+  src: data/is2re/train_100/data.lmdb
+  target_mean: !!python/object/apply:numpy.core.multiarray.scalar
+  - &amp;id001 !!python/object/apply:numpy.dtype
+    args:
+    - f8
+    - false
+    - true
+    state: !!python/tuple
+    - 3
+    - &lt;
+    - null
+    - null
+    - null
+    - -1
+    - -1
+    - 0
+  - !!binary |
+    MjyJzgpQ978=
+  target_std: !!python/object/apply:numpy.core.multiarray.scalar
+  - *id001
+  - !!binary |
+    PnyyzMtk/T8=
+  transforms:
+    normalizer:
+      energy:
+        mean: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          MjyJzgpQ978=
+        stdev: !!python/object/apply:numpy.core.multiarray.scalar
+        - *id001
+        - !!binary |
+          PnyyzMtk/T8=
+      forces:
+        mean: 0
+        stdev: 1
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    - mse
+    - energy_within_threshold
+gp_gpus: null
+gpus: 0
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+model:
+  activation: silu
+  cbf:
+    name: spherical_harmonics
+  cutoff: 6.0
+  direct_forces: false
+  emb_size_atom: 256
+  emb_size_bil_trip: 64
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_rbf: 16
+  emb_size_trip: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  max_neighbors: 50
+  name: gemnet_t
+  num_after_skip: 2
+  num_atom: 3
+  num_before_skip: 1
+  num_blocks: 5
+  num_concat: 1
+  num_radial: 64
+  num_spherical: 7
+  otf_graph: false
+  output_init: HeOrthogonal
+  rbf:
+    name: gaussian
+  regress_forces: false
+optim:
+  batch_size: 1
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  eval_batch_size: 1
+  factor: 0.8
+  loss_energy: mae
+  lr_initial: 0.0001
+  max_epochs: 1
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+outputs:
+  energy:
+    level: system
+relax_dataset: {}
+slurm: {}
+task:
+  dataset: single_point_lmdb
+  description: Relaxed state energy prediction from initial structure.
+  labels:
+  - relaxed energy
+  metric: mae
+  type: regression
+test_dataset:
+  src: data/is2re/val_20/data.lmdb
+trainer: is2re
+val_dataset:
+  src: data/is2re/val_20/data.lmdb
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:03 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: gemnet_t
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded GemNetT with 22774037 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/logger.py:157: (WARNING): log_summary for Tensorboard not supported
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:358: (INFO): Loading dataset: single_point_lmdb
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/is2re/train_100/data.lmdb&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3391cf4bf0&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/is2re/val_20/data.lmdb&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3391cf5160&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/is2re/val_20/data.lmdb&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3391cf5580&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;] have been saved to: ./checkpoints/2025-01-21-19-44-00-IS2RE-val-example/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;, &#39;forces&#39;] have been saved to: ./checkpoints/2025-01-21-19-44-00-IS2RE-val-example/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output energy: mean=-1.4570415561499996, rmsd=1.8371084209427546.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output forces: mean=0, rmsd=1.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:606: (INFO): Loading checkpoint from: ./checkpoints/2025-01-21-19-39-44-IS2RE-example/best_checkpoint.pt
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:607: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=map_location)
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="test-the-model">
+<h4>Test the model<a class="headerlink" href="#test-the-model" title="Link to this heading">#</a></h4>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># make predictions on the existing test_loader</span>
+<span class="n">predictions</span> <span class="o">=</span> <span class="n">pretrained_energy_trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">pretrained_trainer</span><span class="o">.</span><span class="n">test_loader</span><span class="p">,</span> <span class="n">results_file</span><span class="o">=</span><span class="s2">&quot;is2re_results&quot;</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_0_sum (out_blocks.0.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_1_sum (out_blocks.1.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_2_sum (out_blocks.2.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_3_sum (out_blocks.3.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_4_sum (out_blocks.4.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor OutBlock_5_sum (out_blocks.5.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_1_had_rbf (int_blocks.0.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_1_sum_cbf (int_blocks.0.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_1_sum (int_blocks.0.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_2_had_rbf (int_blocks.1.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_2_sum_cbf (int_blocks.1.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_2_sum (int_blocks.1.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_3_had_rbf (int_blocks.2.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_3_sum_cbf (int_blocks.2.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_3_sum (int_blocks.2.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_4_had_rbf (int_blocks.3.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_4_sum_cbf (int_blocks.3.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_4_sum (int_blocks.3.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_5_had_rbf (int_blocks.4.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor TripInteraction_5_sum_cbf (int_blocks.4.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/util.py:23: (WARNING): Scale factor AtomUpdate_5_sum (int_blocks.4.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:445: (INFO): Predicting on test.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:00&lt;00:05,  3.33it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:00&lt;00:04,  3.99it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:00&lt;00:04,  4.23it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:00&lt;00:03,  4.44it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:01&lt;00:03,  4.57it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:01&lt;00:03,  4.66it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:01&lt;00:02,  4.63it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:01&lt;00:02,  4.74it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:02&lt;00:02,  4.64it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:02&lt;00:02,  4.74it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:02&lt;00:01,  4.72it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:02&lt;00:01,  4.73it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:02&lt;00:01,  4.80it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:03&lt;00:01,  4.84it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:03&lt;00:01,  4.86it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:03&lt;00:00,  4.78it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:03&lt;00:00,  4.76it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:03&lt;00:00,  4.83it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:04&lt;00:00,  4.90it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.91it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.65it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:09 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:1003: (INFO): Writing results to ./results/2025-01-21-19-44-00-IS2RE-val-example/is2re_is2re_results.npz
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">energies</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="s2">&quot;energy&quot;</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+</section>
+<section id="initial-structure-to-relaxed-structure-is2rs">
+<h2>Initial Structure to Relaxed Structure (IS2RS) <a name="is2rs"></a><a class="headerlink" href="#initial-structure-to-relaxed-structure-is2rs" title="Link to this heading">#</a></h2>
+<p>We approach the IS2RS task by using a pre-trained S2EF model to iteratively run a structure optimization to arrive at a relaxed structure. While the majority of approaches for this task do this iteratively, we note it’s possible to train a model to directly predict relaxed structures.</p>
+</section>
+<section id="steps-for-making-is2rs-predictions">
+<h2>Steps for making IS2RS predictions<a class="headerlink" href="#steps-for-making-is2rs-predictions" title="Link to this heading">#</a></h2>
+<ol class="arabic simple">
+<li><p>Define or load a configuration (config), which includes the following</p></li>
+</ol>
+<ul class="simple">
+<li><p>task with relaxation dataset information</p></li>
+<li><p>model</p></li>
+<li><p>optimizer</p></li>
+<li><p>dataset</p></li>
+<li><p>trainer</p></li>
+</ul>
+<ol class="arabic simple" start="2">
+<li><p>Create a ForcesTrainer object</p></li>
+<li><p>Train a S2EF model or load an existing S2EF checkpoint</p></li>
+<li><p>Run relaxations</p></li>
+</ol>
+<p><strong>Note</strong> For this task we’ll be using a publicly released pre-trained checkpoint of our best model to perform relaxations.</p>
+<section id="id8">
+<h3>Imports<a class="headerlink" href="#id8" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.trainers</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPTrainer</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">LmdbDataset</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">models</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common</span><span class="w"> </span><span class="kn">import</span> <span class="n">logger</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">setup_logging</span>
+<span class="n">setup_logging</span><span class="p">()</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id9">
+<h3>Dataset<a class="headerlink" href="#id9" title="Link to this heading">#</a></h3>
+<p>The IS2RS task requires an additional realxation dataset to be defined - <code class="docutils literal notranslate"><span class="pre">relax_dataset</span></code>. This dataset is read in similar to the IS2RE dataset - requiring an LMDB file. The same datasets are used for the IS2RE and IS2RS tasks.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">train_src</span> <span class="o">=</span> <span class="s2">&quot;data/s2ef/train_100&quot;</span>
+<span class="n">val_src</span> <span class="o">=</span> <span class="s2">&quot;data/s2ef/val_20&quot;</span>
+<span class="n">relax_dataset</span> <span class="o">=</span> <span class="s2">&quot;data/is2re/val_20/data.lmdb&quot;</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="download-pretrained-checkpoint">
+<h3>Download pretrained checkpoint<a class="headerlink" href="#download-pretrained-checkpoint" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-dT-S2EF-OC20-All&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:09 /home/runner/work/fairchem/fairchem/src/fairchem/core/models/model_registry.py:42: (INFO): Checking local cache: /tmp/fairchem_checkpoints/ for model GemNet-dT-S2EF-OC20-All
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id10">
+<h3>Define the Config<a class="headerlink" href="#id10" title="Link to this heading">#</a></h3>
+<p>Running an iterative S2EF model for the IS2RS task can be run from any S2EF config given the following additions to the <code class="docutils literal notranslate"><span class="pre">task</span></code> portion of the config:</p>
+<ul class="simple">
+<li><p>relax_dataset - IS2RE LMDB dataset</p></li>
+<li><p><em>write_pos</em> - Whether to save out relaxed positions</p></li>
+<li><p><em>relaxation_steps</em> - Number of optimization steps to run</p></li>
+<li><p><em>relax_opt</em> - Dictionary of optimizer settings. Currently only LBFGS supported</p>
+<ul>
+<li><p><em>maxstep</em> - Maximum distance an optimization is allowed to make</p></li>
+<li><p><em>memory</em> - Memory history to use for LBFGS</p></li>
+<li><p><em>damping</em> - Calculated step is multiplied by this factor before updating positions</p></li>
+<li><p><em>alpha</em> - Initial guess for the Hessian</p></li>
+<li><p><em>traj_dir</em> - If specified, directory to save out the full ML relaxation as an ASE trajectory. Useful for debugging or visualizing results.</p></li>
+</ul>
+</li>
+<li><p><em>num_relaxation_batches</em> - If specified, relaxations will only be run for a subset of the relaxation dataset. Useful for debugging or wanting to visualize a few systems.</p></li>
+</ul>
+<p>A sample relaxation config can be found <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/1044e311182c1120c6e6d137ce6db3f445148973/configs/s2ef/2M/dimenet_plus_plus/dpp_relax.yml#L24-L33">here</a>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Task</span>
+<span class="n">task</span> <span class="o">=</span> <span class="p">{</span>
+      <span class="s1">&#39;dataset&#39;</span><span class="p">:</span> <span class="s1">&#39;lmdb&#39;</span><span class="p">,</span> <span class="c1"># dataset used for the S2EF task</span>
+      <span class="s1">&#39;description&#39;</span><span class="p">:</span> <span class="s1">&#39;Regressing to energies and forces for DFT trajectories from OCP&#39;</span><span class="p">,</span>
+      <span class="s1">&#39;type&#39;</span><span class="p">:</span> <span class="s1">&#39;regression&#39;</span><span class="p">,</span>
+      <span class="s1">&#39;metric&#39;</span><span class="p">:</span> <span class="s1">&#39;mae&#39;</span><span class="p">,</span>
+      <span class="s1">&#39;labels&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;potential energy&#39;</span><span class="p">],</span>
+      <span class="s1">&#39;grad_input&#39;</span><span class="p">:</span> <span class="s1">&#39;atomic forces&#39;</span><span class="p">,</span>
+      <span class="s1">&#39;train_on_free_atoms&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+      <span class="s1">&#39;eval_on_free_atoms&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+      <span class="s1">&#39;write_pos&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+      <span class="s1">&#39;relaxation_steps&#39;</span><span class="p">:</span> <span class="mi">200</span><span class="p">,</span>
+      <span class="s1">&#39;num_relaxation_batches&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+      <span class="s1">&#39;relax_opt&#39;</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s1">&#39;maxstep&#39;</span><span class="p">:</span> <span class="mf">0.04</span><span class="p">,</span>
+        <span class="s1">&#39;memory&#39;</span><span class="p">:</span> <span class="mi">50</span><span class="p">,</span>
+        <span class="s1">&#39;damping&#39;</span><span class="p">:</span> <span class="mf">1.0</span><span class="p">,</span>
+        <span class="s1">&#39;alpha&#39;</span><span class="p">:</span> <span class="mf">70.0</span><span class="p">,</span>
+        <span class="s1">&#39;traj_dir&#39;</span><span class="p">:</span> <span class="s2">&quot;ml-relaxations/is2rs-test&quot;</span><span class="p">,</span>
+    <span class="p">}</span>
+<span class="p">}</span>
+<span class="c1"># Model</span>
+<span class="n">model</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;gemnet_t&#39;</span><span class="p">,</span>
+    <span class="s2">&quot;num_spherical&quot;</span><span class="p">:</span> <span class="mi">7</span><span class="p">,</span>
+    <span class="s2">&quot;num_radial&quot;</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
+    <span class="s2">&quot;num_blocks&quot;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_atom&quot;</span><span class="p">:</span> <span class="mi">512</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_edge&quot;</span><span class="p">:</span> <span class="mi">512</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_trip&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_rbf&quot;</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_cbf&quot;</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+    <span class="s2">&quot;emb_size_bil_trip&quot;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+    <span class="s2">&quot;num_before_skip&quot;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s2">&quot;num_after_skip&quot;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="s2">&quot;num_concat&quot;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s2">&quot;num_atom&quot;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="s2">&quot;cutoff&quot;</span><span class="p">:</span> <span class="mf">6.0</span><span class="p">,</span>
+    <span class="s2">&quot;max_neighbors&quot;</span><span class="p">:</span> <span class="mi">50</span><span class="p">,</span>
+    <span class="s2">&quot;rbf&quot;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;gaussian&quot;</span><span class="p">},</span>
+    <span class="s2">&quot;envelope&quot;</span><span class="p">:</span> <span class="p">{</span>
+      <span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;polynomial&quot;</span><span class="p">,</span>
+      <span class="s2">&quot;exponent&quot;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="s2">&quot;cbf&quot;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;spherical_harmonics&quot;</span><span class="p">},</span>
+    <span class="s2">&quot;extensive&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s2">&quot;otf_graph&quot;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="s2">&quot;output_init&quot;</span><span class="p">:</span> <span class="s2">&quot;HeOrthogonal&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;activation&quot;</span><span class="p">:</span> <span class="s2">&quot;silu&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;scale_file&quot;</span><span class="p">:</span> <span class="s2">&quot;./gemnet-dT.json&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;regress_forces&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s2">&quot;direct_forces&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">}</span>
+<span class="c1"># Optimizer</span>
+<span class="n">optimizer</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;batch_size&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>         <span class="c1"># originally 32</span>
+    <span class="s1">&#39;eval_batch_size&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>    <span class="c1"># originally 32</span>
+    <span class="s1">&#39;num_workers&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="s1">&#39;lr_initial&#39;</span><span class="p">:</span> <span class="mf">5.e-4</span><span class="p">,</span>
+    <span class="s1">&#39;optimizer&#39;</span><span class="p">:</span> <span class="s1">&#39;AdamW&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;optimizer_params&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;amsgrad&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">},</span>
+    <span class="s1">&#39;scheduler&#39;</span><span class="p">:</span> <span class="s2">&quot;ReduceLROnPlateau&quot;</span><span class="p">,</span>
+    <span class="s1">&#39;mode&#39;</span><span class="p">:</span> <span class="s2">&quot;min&quot;</span><span class="p">,</span>
+    <span class="s1">&#39;factor&#39;</span><span class="p">:</span> <span class="mf">0.8</span><span class="p">,</span>
+    <span class="s1">&#39;ema_decay&#39;</span><span class="p">:</span> <span class="mf">0.999</span><span class="p">,</span>
+    <span class="s1">&#39;clip_grad_norm&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span>
+    <span class="s1">&#39;patience&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="s1">&#39;max_epochs&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>         <span class="c1"># used for demonstration purposes</span>
+    <span class="s1">&#39;force_coefficient&#39;</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span>
+<span class="p">}</span>
+<span class="c1"># Dataset</span>
+<span class="n">dataset</span> <span class="o">=</span> <span class="p">{</span>
+  <span class="s1">&#39;train&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">train_src</span><span class="p">,</span> <span class="s1">&#39;normalize_labels&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">},</span> <span class="c1"># train set</span>
+  <span class="s1">&#39;val&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">val_src</span><span class="p">},</span> <span class="c1"># val set (optional)</span>
+  <span class="s1">&#39;relax&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;src&quot;</span><span class="p">:</span> <span class="n">relax_dataset</span><span class="p">},</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id11">
+<h3>Create the trainer<a class="headerlink" href="#id11" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">trainer</span> <span class="o">=</span> <span class="n">OCPTrainer</span><span class="p">(</span>
+    <span class="n">task</span><span class="o">=</span><span class="n">task</span><span class="p">,</span>
+    <span class="n">model</span><span class="o">=</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">model</span><span class="p">),</span> <span class="c1"># copied for later use, not necessary in practice.</span>
+    <span class="n">dataset</span><span class="o">=</span><span class="n">dataset</span><span class="p">,</span>
+    <span class="n">optimizer</span><span class="o">=</span><span class="n">optimizer</span><span class="p">,</span>
+    <span class="n">outputs</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">loss_functions</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">evaluation_metrics</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">&quot;s2ef&quot;</span><span class="p">,</span>
+    <span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;is2rs-example&quot;</span><span class="p">,</span>
+    <span class="n">run_dir</span><span class="o">=</span><span class="s2">&quot;./&quot;</span><span class="p">,</span> <span class="c1"># directory to save results if is_debug=False. Prediction files are saved here so be careful not to override!</span>
+    <span class="n">is_debug</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="c1"># if True, do not save checkpoint, logs, or results</span>
+    <span class="n">print_every</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
+    <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="c1"># random seed to use</span>
+    <span class="n">logger</span><span class="o">=</span><span class="s2">&quot;tensorboard&quot;</span><span class="p">,</span> <span class="c1"># logger of choice (tensorboard and wandb supported)</span>
+    <span class="n">local_rank</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="n">amp</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="c1"># use PyTorch Automatic Mixed Precision (faster training and less memory usage),</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:09 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1306: (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:09 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: true
+cmd:
+  checkpoint_dir: ./checkpoints/2025-01-21-19-46-08-is2rs-example
+  commit: c162617
+  identifier: is2rs-example
+  logs_dir: ./logs/tensorboard/2025-01-21-19-46-08-is2rs-example
+  print_every: 5
+  results_dir: ./results/2025-01-21-19-46-08-is2rs-example
+  seed: 0
+  timestamp_id: 2025-01-21-19-46-08-is2rs-example
+  version: 0.1.dev1+gc162617
+dataset:
+  format: lmdb
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: false
+  src: data/s2ef/train_100
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+gp_gpus: null
+gpus: 0
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  activation: silu
+  cbf:
+    name: spherical_harmonics
+  cutoff: 6.0
+  direct_forces: true
+  emb_size_atom: 512
+  emb_size_bil_trip: 64
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_rbf: 16
+  emb_size_trip: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  max_neighbors: 50
+  name: gemnet_t
+  num_after_skip: 2
+  num_atom: 3
+  num_before_skip: 1
+  num_blocks: 3
+  num_concat: 1
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: false
+  output_init: HeOrthogonal
+  rbf:
+    name: gaussian
+  regress_forces: true
+  scale_file: ./gemnet-dT.json
+optim:
+  batch_size: 1
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  eval_batch_size: 1
+  factor: 0.8
+  force_coefficient: 100
+  lr_initial: 0.0005
+  max_epochs: 1
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset:
+  src: data/is2re/val_20/data.lmdb
+slurm: {}
+task:
+  dataset: lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  num_relaxation_batches: 1
+  relax_opt:
+    alpha: 70.0
+    damping: 1.0
+    maxstep: 0.04
+    memory: 50
+    traj_dir: ml-relaxations/is2rs-test
+  relaxation_steps: 200
+  train_on_free_atoms: true
+  type: regression
+  write_pos: true
+test_dataset: {}
+trainer: s2ef
+val_dataset:
+  src: data/s2ef/val_20
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:09 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: gemnet_t
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded GemNetT with 31671825 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/logger.py:157: (WARNING): log_summary for Tensorboard not supported
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:358: (INFO): Loading dataset: lmdb
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/train_100&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3391c9a0f0&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/val_20&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3391c99e80&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/is2re/val_20/data.lmdb&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3391c9a4e0&gt;, batch_size=1, drop_last=False
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id12">
+<h3>Load the best checkpoint<a class="headerlink" href="#id12" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">trainer</span><span class="o">.</span><span class="n">load_checkpoint</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:606: (INFO): Loading checkpoint from: /tmp/fairchem_checkpoints/gemnet_t_direct_h512_all.pt
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:607: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=map_location)
+/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="run-relaxations">
+<h3>Run relaxations<a class="headerlink" href="#run-relaxations" title="Link to this heading">#</a></h3>
+<p>We run a full relaxation for a single batch of our relaxation dataset (<code class="docutils literal notranslate"><span class="pre">num_relaxation_batches=1</span></code>).</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">trainer</span><span class="o">.</span><span class="n">run_relaxations</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:567: (INFO): Running ML-relaxations
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/20 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:12 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:91: (INFO): Step   Fmax(eV/A)
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:12 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 0 7.594
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:106: FutureWarning: Please use atoms.calc = calc
+  atoms.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:13 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 1 5.940
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:14 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 2 4.512
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:15 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 3 3.016
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:17 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 4 3.472
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:18 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 5 3.896
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:19 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 6 4.195
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:20 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 7 4.338
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:21 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 8 4.322
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:22 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 9 4.156
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:23 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 10 3.865
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:24 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 11 3.461
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:25 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 12 2.972
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 13 2.432
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:28 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 14 1.880
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 15 1.365
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:30 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 16 1.185
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:31 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 17 1.125
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:32 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 18 1.010
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:33 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 19 1.084
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:34 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 20 1.156
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 21 1.198
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:36 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 22 1.215
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:37 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 23 1.208
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 24 1.177
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:40 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 25 1.128
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:41 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 26 1.069
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:42 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 27 1.004
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 28 0.940
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:44 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 29 0.879
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:45 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 30 0.823
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 31 0.787
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:47 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 32 0.816
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:48 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 33 0.842
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:49 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 34 0.866
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:51 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 35 0.888
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:52 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 36 0.906
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:53 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 37 0.920
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:54 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 38 0.930
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:55 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 39 0.935
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:56 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 40 0.935
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:57 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 41 0.930
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:58 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 42 0.921
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:45:59 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 43 0.907
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:00 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 44 0.888
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:02 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 45 0.865
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:03 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 46 0.837
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 47 0.804
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:05 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 48 0.765
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:06 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 49 0.721
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:07 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 50 0.672
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:08 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 51 0.619
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:09 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 52 0.564
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:10 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 53 0.508
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 54 0.466
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:13 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 55 0.453
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:14 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 56 0.429
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:15 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 57 0.395
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:16 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 58 0.348
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:17 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 59 0.289
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:18 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 60 0.245
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:19 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 61 0.253
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:20 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 62 0.267
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:21 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 63 0.278
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:22 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 64 0.283
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:24 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 65 0.307
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:25 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 66 0.343
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 67 0.367
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:27 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 68 0.380
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:28 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 69 0.380
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 70 0.367
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:30 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 71 0.344
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:31 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 72 0.297
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:32 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 73 0.251
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:33 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 74 0.279
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 75 0.369
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:36 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 76 0.311
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:37 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 77 0.338
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 78 0.285
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:39 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 79 0.202
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:40 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 80 0.174
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:41 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 81 0.168
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:42 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 82 0.150
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 83 0.147
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:45 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 84 0.140
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 85 0.138
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:47 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 86 0.150
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:48 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 87 0.165
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:49 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 88 0.135
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:50 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 89 0.106
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:51 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 90 0.087
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:52 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 91 0.092
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:53 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 92 0.103
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:54 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 93 0.075
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:56 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 94 0.054
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:57 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 95 0.034
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:58 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 96 0.028
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:46:59 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 97 0.028
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:00 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 98 0.039
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:01 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 99 0.076
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:02 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 100 0.052
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:03 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 101 0.029
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:04 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 102 0.041
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:05 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 103 0.052
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:07 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 104 0.032
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:08 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 105 0.031
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:09 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 106 0.061
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:10 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 107 0.048
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:11 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 108 0.024
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:12 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 109 0.028
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:13 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 110 0.023
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:14 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 111 0.032
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:15 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 112 0.040
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:17 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 113 0.057
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:18 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 114 0.026
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:19 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 115 0.024
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:20 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 116 0.024
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:21 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 117 0.024
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:22 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:96: (INFO): 118 0.024
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:23 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/optimizers/lbfgs_torch.py:109: (INFO): 119 0.019
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  5%|▌         | 1/20 [02:12&lt;41:54, 132.36s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  5%|▌         | 1/20 [02:12&lt;41:55, 132.41s/it]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:23 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:694: (INFO): Writing results to ./results/2025-01-21-19-46-08-is2rs-example/relaxed_positions.npz
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="visualize-ml-driven-relaxations">
+<h3>Visualize ML-driven relaxations<a class="headerlink" href="#visualize-ml-driven-relaxations" title="Link to this heading">#</a></h3>
+<p>Following our earlier <a class="reference internal" href="#data-description"><span class="xref myst">visualization steps</span></a>, we can plot our ML-generated relaxations.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">glob</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">ase.io</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.visualize.plot</span><span class="w"> </span><span class="kn">import</span> <span class="n">plot_atoms</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">random</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="p">{</span>
+   <span class="s1">&#39;axes.labelsize&#39;</span><span class="p">:</span> <span class="mi">14</span><span class="p">,</span>
+   <span class="s1">&#39;font.size&#39;</span><span class="p">:</span> <span class="mi">14</span><span class="p">,</span>
+   <span class="s1">&#39;font.family&#39;</span><span class="p">:</span> <span class="s1">&#39; DejaVu Sans&#39;</span><span class="p">,</span>
+   <span class="s1">&#39;legend.fontsize&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+   <span class="s1">&#39;xtick.labelsize&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+   <span class="s1">&#39;ytick.labelsize&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+   <span class="s1">&#39;axes.labelsize&#39;</span><span class="p">:</span> <span class="mi">25</span><span class="p">,</span>
+   <span class="s1">&#39;axes.titlesize&#39;</span><span class="p">:</span> <span class="mi">25</span><span class="p">,</span>
+   <span class="s1">&#39;text.usetex&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+   <span class="s1">&#39;figure.figsize&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">]</span>
+<span class="p">}</span>
+<span class="n">matplotlib</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">params</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">system</span> <span class="o">=</span> <span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">&quot;ml-relaxations/is2rs-test/*.traj&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">ml_trajectory</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">system</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+
+<span class="n">energies</span> <span class="o">=</span> <span class="p">[</span><span class="n">atom</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span> <span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">ml_trajectory</span><span class="p">]</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">energies</span><span class="p">)),</span> <span class="n">energies</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;step&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;energy, eV&quot;</span><span class="p">)</span>
+<span class="n">system</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;ml-relaxations/is2rs-test/1700380.traj&#39;
+</pre></div>
+</div>
+<img alt="../_images/17faf6051cdc7a159e4bdb15f7d44080b7fa3439763761a0a12441a61fef59c5.png" src="../_images/17faf6051cdc7a159e4bdb15f7d44080b7fa3439763761a0a12441a61fef59c5.png" />
+</div>
+</div>
+<p>Qualitatively, the ML relaxation is behaving as expected - decreasing energies over the course of the relaxation.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;ml-initial&#39;</span><span class="p">,</span> <span class="s1">&#39;ml-middle&#39;</span><span class="p">,</span> <span class="s1">&#39;ml-final&#39;</span><span class="p">]</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">3</span><span class="p">):</span>
+    <span class="n">ax</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
+    <span class="n">ax</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span>
+    <span class="n">ml_trajectory</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+    <span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+    <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span>
+    <span class="c1"># rotation=(&quot;-75x, 45y, 10z&quot;)) # uncomment to visualize at different angles</span>
+<span class="p">)</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span>
+    <span class="n">ml_trajectory</span><span class="p">[</span><span class="mi">100</span><span class="p">],</span>
+    <span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+    <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span>
+    <span class="c1"># rotation=(&quot;-75x, 45y, 10z&quot;) # uncomment to visualize at different angles</span>
+<span class="p">)</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span>
+    <span class="n">ml_trajectory</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+    <span class="n">ax</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span>
+    <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span>
+    <span class="c1"># rotation=(&quot;-75x, 45y, 10z&quot;), # uncomment to visualize at different angles</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Axes: title={&#39;center&#39;: &#39;ml-final&#39;}&gt;
+</pre></div>
+</div>
+<img alt="../_images/c2b17c33f683adaa67032797b5982763d52a7e9ed7e7cc3ca58bda272dc185dd.png" src="../_images/c2b17c33f683adaa67032797b5982763d52a7e9ed7e7cc3ca58bda272dc185dd.png" />
+</div>
+</div>
+<p>Qualitatively, the generated structures seem reasonable with no obvious issues we had previously mentioned to look out for.</p>
+</section>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="model-development">
+<h1>Model development <a name="model-dev"></a><a class="headerlink" href="#model-development" title="Link to this heading">#</a></h1>
+<p>In this section, we will walk through how to develop a simple Graph Neural Network model on the S2EF-200k dataset.</p>
+<p>Let’s begin by setting up some imports and boilerplate config parameters.</p>
+<section id="id13">
+<h2>Imports<a class="headerlink" href="#id13" title="Link to this heading">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">typing</span><span class="w"> </span><span class="kn">import</span> <span class="n">Optional</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.trainers</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPTrainer</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">models</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common</span><span class="w"> </span><span class="kn">import</span> <span class="n">logger</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">setup_logging</span><span class="p">,</span> <span class="n">get_pbc_distances</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">registry</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.gemnet.layers.radial_basis</span><span class="w"> </span><span class="kn">import</span> <span class="n">PolynomialEnvelope</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">torch_geometric.nn.models.schnet</span><span class="w"> </span><span class="kn">import</span> <span class="n">GaussianSmearing</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">torch_scatter</span><span class="w"> </span><span class="kn">import</span> <span class="n">scatter</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">setup_logging</span><span class="p">()</span>
+
+<span class="c1"># Dataset paths</span>
+<span class="n">train_src</span> <span class="o">=</span> <span class="s2">&quot;data/s2ef/train_100&quot;</span>
+<span class="n">val_src</span> <span class="o">=</span> <span class="s2">&quot;data/s2ef/val_20&quot;</span>
+
+<span class="c1"># Configs</span>
+<span class="n">task</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;dataset&#39;</span><span class="p">:</span> <span class="s1">&#39;trajectory_lmdb&#39;</span><span class="p">,</span> <span class="c1"># dataset used for the S2EF task</span>
+    <span class="s1">&#39;description&#39;</span><span class="p">:</span> <span class="s1">&#39;Regressing to energies and forces for DFT trajectories from OCP&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;type&#39;</span><span class="p">:</span> <span class="s1">&#39;regression&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;metric&#39;</span><span class="p">:</span> <span class="s1">&#39;mae&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;labels&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;potential energy&#39;</span><span class="p">],</span>
+    <span class="s1">&#39;grad_input&#39;</span><span class="p">:</span> <span class="s1">&#39;atomic forces&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;train_on_free_atoms&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s1">&#39;eval_on_free_atoms&#39;</span><span class="p">:</span> <span class="kc">True</span>
+<span class="p">}</span>
+
+<span class="c1"># Optimizer</span>
+<span class="n">optimizer</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;batch_size&#39;</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span> <span class="c1"># if hitting GPU memory issues, lower this</span>
+    <span class="s1">&#39;eval_batch_size&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span>
+    <span class="s1">&#39;num_workers&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span>
+    <span class="s1">&#39;lr_initial&#39;</span><span class="p">:</span> <span class="mf">0.0001</span><span class="p">,</span>
+    <span class="s1">&#39;scheduler&#39;</span><span class="p">:</span> <span class="s2">&quot;ReduceLROnPlateau&quot;</span><span class="p">,</span>
+    <span class="s1">&#39;mode&#39;</span><span class="p">:</span> <span class="s2">&quot;min&quot;</span><span class="p">,</span>
+    <span class="s1">&#39;factor&#39;</span><span class="p">:</span> <span class="mf">0.8</span><span class="p">,</span>
+    <span class="s1">&#39;patience&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="s1">&#39;max_epochs&#39;</span><span class="p">:</span> <span class="mi">80</span><span class="p">,</span>
+    <span class="s1">&#39;max_epochs&#39;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
+    <span class="s1">&#39;force_coefficient&#39;</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span>
+<span class="p">}</span>
+
+<span class="c1"># Dataset</span>
+<span class="n">dataset</span> <span class="o">=</span> <span class="p">[</span>
+  <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">train_src</span><span class="p">,</span> <span class="s1">&#39;normalize_labels&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span> <span class="s1">&#39;target_mean&#39;</span><span class="p">:</span>  <span class="o">-</span><span class="mf">0.7554450631141663</span><span class="p">,</span> <span class="s1">&#39;target_std&#39;</span><span class="p">:</span> <span class="mf">2.887317180633545</span><span class="p">,</span> <span class="s1">&#39;grad_target_mean&#39;</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span> <span class="s1">&#39;grad_target_std&#39;</span><span class="p">:</span> <span class="mf">2.887317180633545</span><span class="p">},</span> <span class="c1"># train set</span>
+  <span class="p">{</span><span class="s1">&#39;src&#39;</span><span class="p">:</span> <span class="n">val_src</span><span class="p">},</span>
+<span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="atom-and-edge-embeddings">
+<h2>Atom and Edge Embeddings<a class="headerlink" href="#atom-and-edge-embeddings" title="Link to this heading">#</a></h2>
+<p>Each atom is represented as a node with its features computed using a simple <code class="docutils literal notranslate"><span class="pre">torch.nn.Embedding</span></code> layer on the atomic number.</p>
+<p>All pairs of atoms with a defined cutoff radius (=6A) are assumed to have edges between them, with their features computed as the concatenation of 1) a Gaussian expansion of the distance between the atoms, and the 2) source and 3) target
+node features.</p>
+<p>We will use the <code class="docutils literal notranslate"><span class="pre">GaussianSmearing</span></code> layer (reproduced below) from the PyTorch Geometric library for computing distance features:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">class</span><span class="w"> </span><span class="nc">GaussianSmearing</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">start</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> <span class="n">stop</span><span class="o">=</span><span class="mf">5.0</span><span class="p">,</span> <span class="n">num_gaussians</span><span class="o">=</span><span class="mi">50</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">GaussianSmearing</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="n">offset</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">,</span> <span class="n">num_gaussians</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">coeff</span> <span class="o">=</span> <span class="o">-</span><span class="mf">0.5</span> <span class="o">/</span> <span class="p">(</span><span class="n">offset</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">offset</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">item</span><span class="p">()</span><span class="o">**</span><span class="mi">2</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">register_buffer</span><span class="p">(</span><span class="s1">&#39;offset&#39;</span><span class="p">,</span> <span class="n">offset</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dist</span><span class="p">):</span>
+        <span class="n">dist</span> <span class="o">=</span> <span class="n">dist</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">offset</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">coeff</span> <span class="o">*</span> <span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">dist</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+</pre></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">class</span><span class="w"> </span><span class="nc">AtomEmbedding</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">emb_size</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">embeddings</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Embedding</span><span class="p">(</span><span class="mi">83</span><span class="p">,</span> <span class="n">emb_size</span><span class="p">)</span> <span class="c1"># We go up to Bi (83).</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">Z</span><span class="p">):</span>
+        <span class="n">h</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">embeddings</span><span class="p">(</span><span class="n">Z</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>  <span class="c1"># -1 because Z.min()=1 (==Hydrogen)</span>
+        <span class="k">return</span> <span class="n">h</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">EdgeEmbedding</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">atom_emb_size</span><span class="p">,</span> <span class="n">edge_emb_size</span><span class="p">,</span> <span class="n">out_size</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="n">in_features</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">atom_emb_size</span> <span class="o">+</span> <span class="n">edge_emb_size</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">dense</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span>
+            <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">in_features</span><span class="p">,</span> <span class="n">out_size</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">False</span><span class="p">),</span>
+            <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">SiLU</span><span class="p">()</span>
+        <span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">h</span><span class="p">,</span> <span class="n">m_rbf</span><span class="p">,</span> <span class="n">idx_s</span><span class="p">,</span> <span class="n">idx_t</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="n">h_s</span> <span class="o">=</span> <span class="n">h</span><span class="p">[</span><span class="n">idx_s</span><span class="p">]</span>  <span class="c1"># indexing source node, shape=(num_edges, emb_size)</span>
+        <span class="n">h_t</span> <span class="o">=</span> <span class="n">h</span><span class="p">[</span><span class="n">idx_t</span><span class="p">]</span>  <span class="c1"># indexing target node, shape=(num_edges, emb_size)</span>
+
+        <span class="n">m_st</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">([</span><span class="n">h_s</span><span class="p">,</span> <span class="n">h_t</span><span class="p">,</span> <span class="n">m_rbf</span><span class="p">],</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>  <span class="c1"># (num_edges, 2 * atom_emb_size + edge_emb_size)</span>
+        <span class="n">m_st</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dense</span><span class="p">(</span><span class="n">m_st</span><span class="p">)</span>  <span class="c1"># (num_edges, out_size)</span>
+        <span class="k">return</span> <span class="n">m_st</span>
+
+<span class="k">class</span><span class="w"> </span><span class="nc">RadialBasis</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">num_radial</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">cutoff</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="n">env_exponent</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">5</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">inv_cutoff</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">/</span> <span class="n">cutoff</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">envelope</span> <span class="o">=</span> <span class="n">PolynomialEnvelope</span><span class="p">(</span><span class="n">env_exponent</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">rbf</span> <span class="o">=</span> <span class="n">GaussianSmearing</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">stop</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">num_gaussians</span><span class="o">=</span><span class="n">num_radial</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">d</span><span class="p">):</span>
+        <span class="n">d_scaled</span> <span class="o">=</span> <span class="n">d</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">inv_cutoff</span>
+        <span class="n">env</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">envelope</span><span class="p">(</span><span class="n">d_scaled</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">env</span><span class="p">[:,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">rbf</span><span class="p">(</span><span class="n">d_scaled</span><span class="p">)</span>  <span class="c1"># (num_edges, num_radial)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="message-passing">
+<h2>Message passing<a class="headerlink" href="#message-passing" title="Link to this heading">#</a></h2>
+<p>We start by implementing a very simple message-passing scheme to predict system energy and forces.</p>
+<p>Given the node and edge features, we sum up edge features for all edges <span class="math notranslate nohighlight">\(e_{ij}\)</span> connecting node <span class="math notranslate nohighlight">\(i\)</span> to its neighbors <span class="math notranslate nohighlight">\(j\)</span>, and pass the resultant vector through a fully-connected layer to project it down to a scalar. This gives us a scalar energy contribution for each node <span class="math notranslate nohighlight">\(i\)</span> in the structure. We then sum up all node energy contributions to predict the overall system energy.</p>
+<p>Similarly, to predict forces, we pass edge features through a fully-connected layer to project it down to a scalar representing the force magnitude per edge <span class="math notranslate nohighlight">\(e_{ij}\)</span>. We can then sum up these force magnitudes based on the original edge directions to predict the resultant force vector per node <span class="math notranslate nohighlight">\(i\)</span>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nd">@registry</span><span class="o">.</span><span class="n">register_model</span><span class="p">(</span><span class="s2">&quot;simple&quot;</span><span class="p">)</span>
+<span class="k">class</span><span class="w"> </span><span class="nc">SimpleAtomEdgeModel</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">emb_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">num_radial</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">cutoff</span><span class="o">=</span><span class="mf">6.0</span><span class="p">,</span> <span class="n">env_exponent</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">radial_basis</span> <span class="o">=</span> <span class="n">RadialBasis</span><span class="p">(</span>
+            <span class="n">num_radial</span><span class="o">=</span><span class="n">num_radial</span><span class="p">,</span>
+            <span class="n">cutoff</span><span class="o">=</span><span class="n">cutoff</span><span class="p">,</span>
+            <span class="n">env_exponent</span><span class="o">=</span><span class="n">env_exponent</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">atom_emb</span> <span class="o">=</span> <span class="n">AtomEmbedding</span><span class="p">(</span><span class="n">emb_size</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">edge_emb</span> <span class="o">=</span> <span class="n">EdgeEmbedding</span><span class="p">(</span><span class="n">emb_size</span><span class="p">,</span> <span class="n">num_radial</span><span class="p">,</span> <span class="n">emb_size</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">out_energy</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">emb_size</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">out_forces</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">emb_size</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+        <span class="n">batch</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">batch</span>
+        <span class="n">atomic_numbers</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">atomic_numbers</span><span class="o">.</span><span class="n">long</span><span class="p">()</span>
+        <span class="n">edge_index</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">edge_index</span>
+        <span class="n">cell_offsets</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">cell_offsets</span>
+        <span class="n">neighbors</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">neighbors</span>
+
+        <span class="c1"># computing edges and distances taking periodic boundary conditions into account</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">get_pbc_distances</span><span class="p">(</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">pos</span><span class="p">,</span>
+            <span class="n">edge_index</span><span class="p">,</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">cell</span><span class="p">,</span>
+            <span class="n">cell_offsets</span><span class="p">,</span>
+            <span class="n">neighbors</span><span class="p">,</span>
+            <span class="n">return_offsets</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+            <span class="n">return_distance_vec</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">edge_index</span> <span class="o">=</span> <span class="n">out</span><span class="p">[</span><span class="s2">&quot;edge_index&quot;</span><span class="p">]</span>
+        <span class="n">D_st</span> <span class="o">=</span> <span class="n">out</span><span class="p">[</span><span class="s2">&quot;distances&quot;</span><span class="p">]</span>
+        <span class="n">V_st</span> <span class="o">=</span> <span class="o">-</span><span class="n">out</span><span class="p">[</span><span class="s2">&quot;distance_vec&quot;</span><span class="p">]</span> <span class="o">/</span> <span class="n">D_st</span><span class="p">[:,</span> <span class="kc">None</span><span class="p">]</span>
+
+        <span class="n">idx_s</span><span class="p">,</span> <span class="n">idx_t</span> <span class="o">=</span> <span class="n">edge_index</span>
+
+        <span class="c1"># embed atoms</span>
+        <span class="n">h_atom</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">atom_emb</span><span class="p">(</span><span class="n">atomic_numbers</span><span class="p">)</span>
+
+        <span class="c1"># gaussian expansion of distances D_st</span>
+        <span class="n">m_rbf</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">radial_basis</span><span class="p">(</span><span class="n">D_st</span><span class="p">)</span>
+        <span class="c1"># embed edges</span>
+        <span class="n">m</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">edge_emb</span><span class="p">(</span><span class="n">h_atom</span><span class="p">,</span> <span class="n">m_rbf</span><span class="p">,</span> <span class="n">idx_s</span><span class="p">,</span> <span class="n">idx_t</span><span class="p">)</span>
+
+        <span class="c1"># read out energy</span>
+        <span class="c1">#</span>
+        <span class="c1"># x_E_i = \sum_j m_ji -- summing up edge features m_ji for all neighbors j</span>
+        <span class="c1"># of node i to predict node i&#39;s energy contribution.</span>
+        <span class="n">x_E</span> <span class="o">=</span> <span class="n">scatter</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="n">idx_t</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dim_size</span><span class="o">=</span><span class="n">h_atom</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">reduce</span><span class="o">=</span><span class="s2">&quot;sum&quot;</span><span class="p">)</span>
+        <span class="n">x_E</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_energy</span><span class="p">(</span><span class="n">x_E</span><span class="p">)</span>
+
+        <span class="c1"># E = \sum_i x_E_i</span>
+        <span class="n">num_systems</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">batch</span><span class="p">)</span><span class="o">+</span><span class="mi">1</span>
+        <span class="n">E</span> <span class="o">=</span> <span class="n">scatter</span><span class="p">(</span><span class="n">x_E</span><span class="p">,</span> <span class="n">batch</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dim_size</span><span class="o">=</span><span class="n">num_systems</span><span class="p">,</span> <span class="n">reduce</span><span class="o">=</span><span class="s2">&quot;add&quot;</span><span class="p">)</span>
+        <span class="c1"># (num_systems, 1)</span>
+
+        <span class="c1"># read out forces</span>
+        <span class="c1">#</span>
+        <span class="c1"># x_F is the force magnitude per edge, we multiply that by the direction of each edge ji,</span>
+        <span class="c1"># and sum up all the vectors to predict the resultant force on node i</span>
+        <span class="n">x_F</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_forces</span><span class="p">(</span><span class="n">m</span><span class="p">)</span>
+        <span class="n">F_st_vec</span> <span class="o">=</span> <span class="n">x_F</span><span class="p">[:,</span> <span class="p">:,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">*</span> <span class="n">V_st</span><span class="p">[:,</span> <span class="kc">None</span><span class="p">,</span> <span class="p">:]</span>
+        <span class="n">F</span> <span class="o">=</span> <span class="n">scatter</span><span class="p">(</span><span class="n">F_st_vec</span><span class="p">,</span> <span class="n">idx_t</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dim_size</span><span class="o">=</span><span class="n">atomic_numbers</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span> <span class="n">reduce</span><span class="o">=</span><span class="s2">&quot;add&quot;</span><span class="p">)</span>
+        <span class="c1"># (num_atoms, num_targets, 3)</span>
+        <span class="n">F</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="p">{</span><span class="s2">&quot;energy&quot;</span><span class="p">:</span> <span class="n">E</span><span class="p">,</span> <span class="s2">&quot;forces&quot;</span><span class="p">:</span> <span class="n">F</span><span class="p">}</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">num_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="nb">sum</span><span class="p">(</span><span class="n">p</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">parameters</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="training-the-model">
+<h2>Training the model<a class="headerlink" href="#training-the-model" title="Link to this heading">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">model_params</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;simple&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;emb_size&#39;</span><span class="p">:</span> <span class="mi">256</span><span class="p">,</span>
+    <span class="s1">&#39;num_radial&#39;</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
+    <span class="s1">&#39;cutoff&#39;</span><span class="p">:</span> <span class="mf">6.0</span><span class="p">,</span>
+    <span class="s1">&#39;env_exponent&#39;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
+<span class="p">}</span>
+
+<span class="n">trainer</span> <span class="o">=</span> <span class="n">OCPTrainer</span><span class="p">(</span>
+    <span class="n">task</span><span class="o">=</span><span class="n">task</span><span class="p">,</span>
+    <span class="n">model</span><span class="o">=</span><span class="n">model_params</span><span class="p">,</span>
+    <span class="n">dataset</span><span class="o">=</span><span class="n">dataset</span><span class="p">,</span>
+    <span class="n">optimizer</span><span class="o">=</span><span class="n">optimizer</span><span class="p">,</span>
+    <span class="n">outputs</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">loss_functions</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">evaluation_metrics</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">&quot;s2ef&quot;</span><span class="p">,</span>
+    <span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;S2EF-simple&quot;</span><span class="p">,</span>
+    <span class="n">run_dir</span><span class="o">=</span><span class="s2">&quot;./&quot;</span><span class="p">,</span> <span class="c1"># directory to save results if is_debug=False. Prediction files are saved here so be careful not to override!</span>
+    <span class="n">is_debug</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="c1"># if True, do not save checkpoint, logs, or results</span>
+    <span class="n">print_every</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
+    <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="c1"># random seed to use</span>
+    <span class="n">logger</span><span class="o">=</span><span class="s2">&quot;tensorboard&quot;</span><span class="p">,</span> <span class="c1"># logger of choice (tensorboard and wandb supported)</span>
+    <span class="n">local_rank</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="n">amp</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="c1"># use PyTorch Automatic Mixed Precision (faster training and less memory usage),</span>
+<span class="p">)</span>
+
+<span class="n">trainer</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1306: (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: true
+cmd:
+  checkpoint_dir: ./checkpoints/2025-01-21-19-48-16-S2EF-simple
+  commit: c162617
+  identifier: S2EF-simple
+  logs_dir: ./logs/tensorboard/2025-01-21-19-48-16-S2EF-simple
+  print_every: 5
+  results_dir: ./results/2025-01-21-19-48-16-S2EF-simple
+  seed: 0
+  timestamp_id: 2025-01-21-19-48-16-S2EF-simple
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  src: data/s2ef/train_100
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+gp_gpus: null
+gpus: 0
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  cutoff: 6.0
+  emb_size: 256
+  env_exponent: 5
+  name: simple
+  num_radial: 128
+optim:
+  batch_size: 16
+  eval_batch_size: 8
+  factor: 0.8
+  force_coefficient: 100
+  lr_initial: 0.0001
+  max_epochs: 5
+  mode: min
+  num_workers: 8
+  patience: 3
+  scheduler: ReduceLROnPlateau
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm: {}
+task:
+  dataset: trajectory_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: s2ef
+val_dataset:
+  src: data/s2ef/val_20
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: simple
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded SimpleAtomEdgeModel with 185602 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/logger.py:157: (WARNING): log_summary for Tensorboard not supported
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:358: (INFO): Loading dataset: trajectory_lmdb
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/train_100&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3357826780&gt;, batch_size=16, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
+  warnings.warn(_create_warning_msg(
+2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/val_20&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3376189af0&gt;, batch_size=8, drop_last=False
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;] have been saved to: ./checkpoints/2025-01-21-19-48-16-S2EF-simple/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;, &#39;forces&#39;] have been saved to: ./checkpoints/2025-01-21-19-48-16-S2EF-simple/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output energy: mean=-0.7554450631141663, rmsd=2.887317180633545.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:26 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output forces: mean=0.0, rmsd=2.887317180633545.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 4.11e+02, forcesx_mae: 3.24e-01, forcesy_mae: 4.73e-01, forcesz_mae: 1.61e+00, forces_mae: 8.01e-01, forces_cosine_similarity: 1.95e-02, forces_magnitude_error: 1.59e+00, loss: 2.07e+02, lr: 1.00e-04, epoch: 7.14e-01, step: 5.00e+00
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  7.70it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00, 10.27it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:30 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 197.5696, forcesx_mae: 0.2953, forcesy_mae: 0.2344, forcesz_mae: 0.8644, forces_mae: 0.4647, forces_cosine_similarity: -0.0500, forces_magnitude_error: 0.7782, loss: 103.0341, epoch: 1.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:32 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.80e+02, forcesx_mae: 2.55e-01, forcesy_mae: 3.87e-01, forcesz_mae: 1.02e+00, forces_mae: 5.54e-01, forces_cosine_similarity: -1.38e-02, forces_magnitude_error: 9.78e-01, loss: 1.26e+02, lr: 1.00e-04, epoch: 1.43e+00, step: 1.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:33 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  8.95it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00, 11.15it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:34 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 191.2872, forcesx_mae: 0.3271, forcesy_mae: 0.2744, forcesz_mae: 0.9364, forces_mae: 0.5126, forces_cosine_similarity: -0.0479, forces_magnitude_error: 0.8843, loss: 104.5027, epoch: 2.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:35 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.28e+02, forcesx_mae: 2.67e-01, forcesy_mae: 3.55e-01, forcesz_mae: 1.05e+00, forces_mae: 5.58e-01, forces_cosine_similarity: -1.39e-02, forces_magnitude_error: 1.01e+00, loss: 1.26e+02, lr: 1.00e-04, epoch: 2.14e+00, step: 1.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:37 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.47e+02, forcesx_mae: 2.23e-01, forcesy_mae: 3.52e-01, forcesz_mae: 8.08e-01, forces_mae: 4.61e-01, forces_cosine_similarity: 7.62e-02, forces_magnitude_error: 7.88e-01, loss: 1.21e+02, lr: 1.00e-04, epoch: 2.86e+00, step: 2.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:37 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  8.68it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00, 11.22it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 198.2147, forcesx_mae: 0.3246, forcesy_mae: 0.2725, forcesz_mae: 0.9452, forces_mae: 0.5141, forces_cosine_similarity: -0.0507, forces_magnitude_error: 0.8909, loss: 107.1592, epoch: 3.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:40 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.27e+02, forcesx_mae: 1.63e-01, forcesy_mae: 2.30e-01, forcesz_mae: 4.96e-01, forces_mae: 2.97e-01, forces_cosine_similarity: -3.68e-02, forces_magnitude_error: 4.65e-01, loss: 6.43e+01, lr: 1.00e-04, epoch: 3.57e+00, step: 2.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:41 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00, 12.96it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00, 11.29it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:42 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 193.6992, forcesx_mae: 0.3220, forcesy_mae: 0.2708, forcesz_mae: 0.9639, forces_mae: 0.5189, forces_cosine_similarity: -0.0511, forces_magnitude_error: 0.9075, loss: 106.1556, epoch: 4.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:43 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.43e+02, forcesx_mae: 1.99e-01, forcesy_mae: 3.15e-01, forcesz_mae: 5.12e-01, forces_mae: 3.42e-01, forces_cosine_similarity: -1.52e-03, forces_magnitude_error: 5.13e-01, loss: 7.14e+01, lr: 1.00e-04, epoch: 4.29e+00, step: 3.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:45 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.44e+02, forcesx_mae: 1.45e-01, forcesy_mae: 2.35e-01, forcesz_mae: 3.94e-01, forces_mae: 2.58e-01, forces_cosine_similarity: 3.66e-02, forces_magnitude_error: 4.01e-01, loss: 9.90e+01, lr: 1.00e-04, epoch: 5.00e+00, step: 3.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:45 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  7.60it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00, 10.67it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 201.6972, forcesx_mae: 0.3385, forcesy_mae: 0.2883, forcesz_mae: 1.0024, forces_mae: 0.5431, forces_cosine_similarity: -0.0537, forces_magnitude_error: 0.9617, loss: 110.8121, epoch: 5.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>If you’ve wired everything up correctly, this model should be relatively small (~185k params) and achieve a force MAE of 0.0815, force cosine of 0.0321, energy MAE of 2.2772 in 2 epochs.</p>
+<p>We encourage the reader to try playing with the embedding size, cutoff radius, number of gaussian basis functions, and polynomial envelope exponent to see how it affects performance.</p>
+</section>
+<section id="incorporating-triplets-and-training-gemnet-t">
+<h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#incorporating-triplets-and-training-gemnet-t" title="Link to this heading">#</a></h2>
+<p>Recall how this model computes edge embeddings based only on a Gaussian expansion of edge distances.</p>
+<p>To better capture 3D geometry, we should also embed angles formed by triplets or quadruplets of atoms. A model that incorporates this idea and works quite well is GemNet (Klicpera et al., NeurIPS 2021); see the following figure.</p>
+<p><img alt="Screen Shot 2021-11-22 at 3.58.24 PM.png" src="data:image/png;base64,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" /></p>
+<p>You can train a GemNet-T (T = triplets) on S2EF-200k using the following config.</p>
+<p>Note that this is a significantly bulkier model (~3.4M params) than the one we developed above and will take longer to train.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">model_params</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;gemnet_t&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;num_spherical&#39;</span><span class="p">:</span> <span class="mi">7</span><span class="p">,</span>
+    <span class="s1">&#39;num_radial&#39;</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
+    <span class="s1">&#39;num_blocks&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s1">&#39;emb_size_atom&#39;</span><span class="p">:</span> <span class="mi">256</span><span class="p">,</span>
+    <span class="s1">&#39;emb_size_edge&#39;</span><span class="p">:</span> <span class="mi">256</span><span class="p">,</span>
+    <span class="s1">&#39;emb_size_trip&#39;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+    <span class="s1">&#39;emb_size_rbf&#39;</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+    <span class="s1">&#39;emb_size_cbf&#39;</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+    <span class="s1">&#39;emb_size_bil_trip&#39;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
+    <span class="s1">&#39;num_before_skip&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s1">&#39;num_after_skip&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s1">&#39;num_concat&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s1">&#39;num_atom&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="s1">&#39;cutoff&#39;</span><span class="p">:</span> <span class="mf">6.0</span><span class="p">,</span>
+    <span class="s1">&#39;max_neighbors&#39;</span><span class="p">:</span> <span class="mi">50</span><span class="p">,</span>
+    <span class="s1">&#39;rbf&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;gaussian&#39;</span><span class="p">},</span>
+    <span class="s1">&#39;envelope&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;polynomial&#39;</span><span class="p">,</span> <span class="s1">&#39;exponent&#39;</span><span class="p">:</span> <span class="mi">5</span><span class="p">},</span>
+    <span class="s1">&#39;cbf&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;spherical_harmonics&#39;</span><span class="p">},</span>
+    <span class="s1">&#39;extensive&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s1">&#39;otf_graph&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="s1">&#39;output_init&#39;</span><span class="p">:</span> <span class="s1">&#39;HeOrthogonal&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;activation&#39;</span><span class="p">:</span> <span class="s1">&#39;silu&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;scale_file&#39;</span><span class="p">:</span> <span class="s1">&#39;./gemnet-dT.json&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;regress_forces&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s1">&#39;direct_forces&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">}</span>
+
+<span class="n">trainer</span> <span class="o">=</span> <span class="n">OCPTrainer</span><span class="p">(</span>
+    <span class="n">task</span><span class="o">=</span><span class="n">task</span><span class="p">,</span>
+    <span class="n">model</span><span class="o">=</span><span class="n">model_params</span><span class="p">,</span>
+    <span class="n">dataset</span><span class="o">=</span><span class="n">dataset</span><span class="p">,</span>
+    <span class="n">optimizer</span><span class="o">=</span><span class="n">optimizer</span><span class="p">,</span>
+    <span class="n">outputs</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">loss_functions</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">evaluation_metrics</span><span class="o">=</span><span class="p">{},</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">&quot;s2ef&quot;</span><span class="p">,</span>
+    <span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;S2EF-gemnet-t&quot;</span><span class="p">,</span>
+    <span class="n">run_dir</span><span class="o">=</span><span class="s2">&quot;./&quot;</span><span class="p">,</span> <span class="c1"># directory to save results if is_debug=False. Prediction files are saved here so be careful not to override!</span>
+    <span class="n">is_debug</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="c1"># if True, do not save checkpoint, logs, or results</span>
+    <span class="n">print_every</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
+    <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="c1"># random seed to use</span>
+    <span class="n">logger</span><span class="o">=</span><span class="s2">&quot;tensorboard&quot;</span><span class="p">,</span> <span class="c1"># logger of choice (tensorboard and wandb supported)</span>
+    <span class="n">local_rank</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="n">amp</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="c1"># use PyTorch Automatic Mixed Precision (faster training and less memory usage),</span>
+<span class="p">)</span>
+
+<span class="n">trainer</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1306: (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: true
+cmd:
+  checkpoint_dir: ./checkpoints/2025-01-21-19-48-16-S2EF-gemnet-t
+  commit: c162617
+  identifier: S2EF-gemnet-t
+  logs_dir: ./logs/tensorboard/2025-01-21-19-48-16-S2EF-gemnet-t
+  print_every: 5
+  results_dir: ./results/2025-01-21-19-48-16-S2EF-gemnet-t
+  seed: 0
+  timestamp_id: 2025-01-21-19-48-16-S2EF-gemnet-t
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  src: data/s2ef/train_100
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+gp_gpus: null
+gpus: 0
+logger: tensorboard
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  activation: silu
+  cbf:
+    name: spherical_harmonics
+  cutoff: 6.0
+  direct_forces: true
+  emb_size_atom: 256
+  emb_size_bil_trip: 64
+  emb_size_cbf: 16
+  emb_size_edge: 256
+  emb_size_rbf: 16
+  emb_size_trip: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  max_neighbors: 50
+  name: gemnet_t
+  num_after_skip: 1
+  num_atom: 3
+  num_before_skip: 1
+  num_blocks: 1
+  num_concat: 1
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: false
+  output_init: HeOrthogonal
+  rbf:
+    name: gaussian
+  regress_forces: true
+  scale_file: ./gemnet-dT.json
+optim:
+  batch_size: 16
+  eval_batch_size: 8
+  factor: 0.8
+  force_coefficient: 100
+  lr_initial: 0.0001
+  max_epochs: 5
+  mode: min
+  num_workers: 8
+  patience: 3
+  scheduler: ReduceLROnPlateau
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm: {}
+task:
+  dataset: trajectory_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: s2ef
+val_dataset:
+  src: data/s2ef/val_20
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: gemnet_t
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor TripInteraction_2_had_rbf not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor TripInteraction_2_sum_cbf not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor AtomUpdate_2_sum not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor TripInteraction_3_had_rbf not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor TripInteraction_3_sum_cbf not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor AtomUpdate_3_sum not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor OutBlock_2_sum not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor OutBlock_2_had not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor OutBlock_3_sum not found in model
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/scaling/compat.py:77: (WARNING): Scale factor OutBlock_3_had not found in model
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded GemNetT with 3360519 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/logger.py:157: (WARNING): log_summary for Tensorboard not supported
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:358: (INFO): Loading dataset: trajectory_lmdb
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/train_100&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f33579eade0&gt;, batch_size=16, drop_last=False
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
+  warnings.warn(_create_warning_msg(
+2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/datasets/base_dataset.py:94: (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;data/s2ef/val_20&#39;)]&#39;
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:164: (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:177: (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:88: (INFO): rank: 0: Sampler created...
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/data_parallel.py:196: (INFO): Created BalancedBatchSampler with sampler=&lt;fairchem.core.common.data_parallel.StatefulDistributedSampler object at 0x7f3358352a80&gt;, batch_size=8, drop_last=False
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;] have been saved to: ./checkpoints/2025-01-21-19-48-16-S2EF-gemnet-t/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/_load_utils.py:112: (INFO): normalizers checkpoint for targets [&#39;energy&#39;, &#39;forces&#39;] have been saved to: ./checkpoints/2025-01-21-19-48-16-S2EF-gemnet-t/normalizers.pt
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output energy: mean=-0.7554450631141663, rmsd=2.887317180633545.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:47:46 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:491: (INFO): Normalization values for output forces: mean=0.0, rmsd=2.887317180633545.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:48:23 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.05e+02, forcesx_mae: 3.30e+00, forcesy_mae: 4.12e+00, forcesz_mae: 3.19e+00, forces_mae: 3.54e+00, forces_cosine_similarity: -1.29e-02, forces_magnitude_error: 6.83e+00, loss: 2.84e+02, lr: 1.00e-04, epoch: 7.14e-01, step: 5.00e+00
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:48:32 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  2.15it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.83it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  3.70it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.92it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:48:34 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.1859, forcesx_mae: 2.3018, forcesy_mae: 1.8443, forcesz_mae: 1.9866, forces_mae: 2.0442, forces_cosine_similarity: -0.1886, forces_magnitude_error: 3.8822, loss: 146.1000, epoch: 1.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:48:57 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.40e+01, forcesx_mae: 1.67e+00, forcesy_mae: 2.28e+00, forcesz_mae: 1.70e+00, forces_mae: 1.88e+00, forces_cosine_similarity: -6.95e-03, forces_magnitude_error: 3.54e+00, loss: 1.38e+02, lr: 1.00e-04, epoch: 1.43e+00, step: 1.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:49:19 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.90it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.83it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  3.63it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.69it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:49:21 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.8872, forcesx_mae: 2.2966, forcesy_mae: 1.8156, forcesz_mae: 1.9075, forces_mae: 2.0066, forces_cosine_similarity: -0.1919, forces_magnitude_error: 3.7918, loss: 143.2075, epoch: 2.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:49:29 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 4.95e+01, forcesx_mae: 1.18e+00, forcesy_mae: 1.38e+00, forcesz_mae: 1.18e+00, forces_mae: 1.25e+00, forces_cosine_similarity: 1.80e-02, forces_magnitude_error: 2.22e+00, loss: 9.82e+01, lr: 1.00e-04, epoch: 2.14e+00, step: 1.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:50:03 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 5.73e+01, forcesx_mae: 8.89e-01, forcesy_mae: 1.20e+00, forcesz_mae: 9.26e-01, forces_mae: 1.01e+00, forces_cosine_similarity: -2.94e-02, forces_magnitude_error: 1.74e+00, loss: 9.04e+01, lr: 1.00e-04, epoch: 2.86e+00, step: 2.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:50:05 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  2.07it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.92it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  3.78it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.81it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:50:06 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.6403, forcesx_mae: 2.2450, forcesy_mae: 1.7636, forcesz_mae: 1.8652, forces_mae: 1.9579, forces_cosine_similarity: -0.1887, forces_magnitude_error: 3.6963, loss: 139.6124, epoch: 3.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:50:36 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.06e+01, forcesx_mae: 6.35e-01, forcesy_mae: 7.63e-01, forcesz_mae: 6.23e-01, forces_mae: 6.74e-01, forces_cosine_similarity: 4.42e-02, forces_magnitude_error: 1.12e+00, loss: 5.37e+01, lr: 1.00e-04, epoch: 3.57e+00, step: 2.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:50:52 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  2.10it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.99it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  3.65it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.86it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:50:53 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.1157, forcesx_mae: 2.2045, forcesy_mae: 1.7296, forcesz_mae: 1.8392, forces_mae: 1.9244, forces_cosine_similarity: -0.1851, forces_magnitude_error: 3.6256, loss: 137.3321, epoch: 4.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:51:08 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.13e+01, forcesx_mae: 5.82e-01, forcesy_mae: 8.45e-01, forcesz_mae: 6.18e-01, forces_mae: 6.82e-01, forces_cosine_similarity: 5.76e-02, forces_magnitude_error: 1.08e+00, loss: 5.14e+01, lr: 1.00e-04, epoch: 4.29e+00, step: 3.00e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:51:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/ocp_trainer.py:194: (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.02e+01, forcesx_mae: 4.69e-01, forcesy_mae: 6.54e-01, forcesz_mae: 5.04e-01, forces_mae: 5.42e-01, forces_cosine_similarity: 3.08e-02, forces_magnitude_error: 8.93e-01, loss: 4.17e+01, lr: 1.00e-04, epoch: 5.00e+00, step: 3.50e+01
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:51:38 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:863: (INFO): Evaluating on val.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.85it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.72it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  3.60it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.69it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:51:39 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:905: (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.9943, forcesx_mae: 2.1967, forcesy_mae: 1.7273, forcesz_mae: 1.8153, forces_mae: 1.9131, forces_cosine_similarity: -0.1857, forces_magnitude_error: 3.6056, loss: 136.5640, epoch: 5.0000
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>This model should achieve a force MAE of 0.0668, a force cosine of 0.1180, and an energy MAE of 0.8106 in 2 epochs, significantly better than our simple model.</p>
+<p>Again, we encourage the reader to try playing with no. of blocks, choice of basis functions, the various embedding sizes to develop intuition for the interplay between these hyperparameters.</p>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="optional-ocp-calculator">
+<h1>(Optional) OCP Calculator <a name="calc"></a><a class="headerlink" href="#optional-ocp-calculator" title="Link to this heading">#</a></h1>
+<p>For those interested in using our pretrained models for other applications, we provide an [ASE](https://wiki.fysik.dtu.dk/ase/#:~:text=The%20Atomic%20Simulation%20Environment%20(ASE,under%20the%20GNU%20LGPL%20license.)-compatible Calculator to interface with ASE’s functionality.</p>
+<section id="id14">
+<h2>Download pretrained checkpoint<a class="headerlink" href="#id14" title="Link to this heading">#</a></h2>
+<p>We have released checkpoints of all the models on the leaderboard <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/master/MODELS.md">here</a>. These trained models can be used as an ASE calculator for various calculations.</p>
+<p>For this tutorial we download one of our earlier model checkpoints: GemNet-T</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-dT-S2EF-OC20-All&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:51:40 /home/runner/work/fairchem/fairchem/src/fairchem/core/models/model_registry.py:42: (INFO): Checking local cache: /tmp/fairchem_checkpoints/ for model GemNet-dT-S2EF-OC20-All
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="using-the-ocp-calculator">
+<h2>Using the OCP Calculator<a class="headerlink" href="#using-the-ocp-calculator" title="Link to this heading">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">ase.io</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc100</span><span class="p">,</span> <span class="n">add_adsorbate</span><span class="p">,</span> <span class="n">molecule</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.constraints</span><span class="w"> </span><span class="kn">import</span> <span class="n">FixAtoms</span>
+
+<span class="c1"># Construct a sample structure</span>
+<span class="n">adslab</span> <span class="o">=</span> <span class="n">fcc100</span><span class="p">(</span><span class="s2">&quot;Cu&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="n">adsorbate</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s2">&quot;C3H8&quot;</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">adsorbate</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">offset</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+<span class="n">tags</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">adslab</span><span class="p">))</span>
+<span class="n">tags</span><span class="p">[</span><span class="mi">18</span><span class="p">:</span><span class="mi">27</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="n">tags</span><span class="p">[</span><span class="mi">27</span><span class="p">:]</span> <span class="o">=</span> <span class="mi">2</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+<span class="n">cons</span><span class="o">=</span> <span class="n">FixAtoms</span><span class="p">(</span><span class="n">indices</span><span class="o">=</span><span class="p">[</span><span class="n">atom</span><span class="o">.</span><span class="n">index</span> <span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">adslab</span> <span class="k">if</span> <span class="p">(</span><span class="n">atom</span><span class="o">.</span><span class="n">tag</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)])</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_constraint</span><span class="p">(</span><span class="n">cons</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">center</span><span class="p">(</span><span class="n">vacuum</span><span class="o">=</span><span class="mf">13.0</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_pbc</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Define the calculator</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span>
+
+<span class="c1"># Set up the calculator</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+
+<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s2">&quot;data/sample_ml_relax&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="s2">&quot;data/sample_ml_relax/toy_c3h8_relax.traj&quot;</span><span class="p">)</span>
+
+<span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+2025-01-21 19:51:40 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/utils.py:1306: (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:51:40 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:208: (INFO): amp: false
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/legacy_tutorials/checkpoints/2025-01-21-19-52-32
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/legacy_tutorials/logs/wandb/2025-01-21-19-52-32
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/legacy_tutorials/results/2025-01-21-19-52-32
+  seed: null
+  timestamp_id: 2025-01-21-19-52-32
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 1
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  activation: silu
+  cbf:
+    name: spherical_harmonics
+  cutoff: 6.0
+  direct_forces: true
+  emb_size_atom: 512
+  emb_size_bil_trip: 64
+  emb_size_cbf: 16
+  emb_size_edge: 512
+  emb_size_rbf: 16
+  emb_size_trip: 64
+  envelope:
+    exponent: 5
+    name: polynomial
+  extensive: true
+  max_neighbors: 50
+  name: gemnet_t
+  num_after_skip: 2
+  num_atom: 3
+  num_before_skip: 1
+  num_blocks: 3
+  num_concat: 1
+  num_radial: 128
+  num_spherical: 7
+  otf_graph: true
+  output_init: HeOrthogonal
+  rbf:
+    name: gaussian
+  regress_forces: true
+optim:
+  batch_size: 32
+  clip_grad_norm: 10
+  ema_decay: 0.999
+  energy_coefficient: 1
+  eval_batch_size: 32
+  eval_every: 5000
+  factor: 0.8
+  force_coefficient: 100
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0005
+  max_epochs: 80
+  mode: min
+  num_workers: 2
+  optimizer: AdamW
+  optimizer_params:
+    amsgrad: true
+  patience: 3
+  scheduler: ReduceLROnPlateau
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm: {}
+task:
+  dataset: trajectory_lmdb
+  description: Regressing to energies and forces for DFT trajectories from OCP
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  metric: mae
+  train_on_free_atoms: true
+  type: regression
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:51:40 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:557: (INFO): Loading model: gemnet_t
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:51:41 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:568: (INFO): Loaded GemNetT with 31671825 parameters.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 19:51:41 /home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:621: (INFO): Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+2025-01-21 19:51:41 /home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:249: (WARNING): No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 19:51:42       -4.099784        1.567516
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 19:51:42       -4.244472        1.136985
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 19:51:43       -4.403122        0.763561
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 19:51:43       -4.503644        0.836383
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 19:51:44       -4.558209        0.733877
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 19:51:45       -4.592066        0.409535
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 19:51:45       -4.619359        0.731256
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 19:51:46       -4.671464        0.971141
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 19:51:46       -4.796473        0.921026
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 19:51:47       -4.957972        0.976196
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 19:51:47       -5.109419        1.038484
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 19:51:48       -5.295610        1.224973
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 19:51:48       -5.498995        1.127049
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 19:51:49       -5.618104        1.066863
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 19:51:50       -5.737133        0.950848
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 19:51:50       -5.901944        0.926049
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 19:51:51       -6.076124        1.273782
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 19:51:51       -6.198373        1.202949
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 19:51:52       -6.250327        0.685198
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 19:51:52       -6.254099        0.200784
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 19:51:53       -6.293955        0.177882
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 19:51:53       -6.326336        0.229420
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 19:51:54       -6.324459        0.170037
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 19:51:54       -6.321297        0.101550
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 19:51:55       -6.328354        0.084693
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   25 19:51:55       -6.331687        0.058673
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   26 19:51:56       -6.331860        0.044462
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>True
+</pre></div>
+</div>
+</div>
+</div>
+<p><a name="lmdb"></a></p>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="optional-creating-your-own-lmdbs-for-use-in-the-ocp-repository">
+<h1>(Optional) Creating your own LMDBs for use in the OCP repository<a class="headerlink" href="#optional-creating-your-own-lmdbs-for-use-in-the-ocp-repository" title="Link to this heading">#</a></h1>
+<p>In order to interface with our repository, the data mustbe structured and organized in a specific format. Below we walk you through on how to create such datasets with your own non-OC20 data that may help with your research.</p>
+<p>For this tutorial we use the toy C3H8 trajectory we previously generated <a class="reference internal" href="#data-description"><span class="xref myst">here</span></a>.</p>
+<section id="initial-structure-to-relaxed-energy-is2re-lmdbs">
+<h2>Initial Structure to Relaxed Energy (IS2RE) LMDBs<a class="headerlink" href="#initial-structure-to-relaxed-energy-is2re-lmdbs" title="Link to this heading">#</a></h2>
+<p>IS2RE/IS2RS LMDBs utilize the LmdbDataset dataset. This dataset expects the data to be contained in a <strong>single</strong> LMDB file. In addition to the attributes defined by AtomsToGraph, the following attributes must be added for the IS2RE/IS2RS tasks:</p>
+<ul class="simple">
+<li><p>pos_relaxed: Relaxed adslab positions</p></li>
+<li><p>sid: Unique system identifier, arbitrary</p></li>
+<li><p>y_init: Initial adslab energy, formerly Data.y</p></li>
+<li><p>y_relaxed: Relaxed adslab energy</p></li>
+<li><p>tags (optional): 0 - subsurface, 1 - surface, 2 - adsorbate</p></li>
+</ul>
+<p>As a demo, we will use the above generated data to create an IS2R* LMDB file.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.preprocessing</span><span class="w"> </span><span class="kn">import</span> <span class="n">AtomsToGraphs</span>
+
+<span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">args description:</span>
+
+<span class="sd">max neigh (int): maximum number of neighors to be considered while constructing a graph</span>
+<span class="sd">radius (int): Neighbors are considered only within this radius cutoff in Angstrom</span>
+<span class="sd">r_energy (bool): Stored energy value in the Data object; False for test data</span>
+<span class="sd">r_forces (bool): Stores forces value in the Data object; False for test data</span>
+<span class="sd">r_distances (bool): pre-calculates distances taking into account PBC and max neigh/radius</span>
+<span class="sd">  If you set it to False, make sure to add &quot;otf_graph = True&quot; under models in config for runs</span>
+<span class="sd">r_fixed (bools): True if you want to fix the subsurface atoms</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="n">a2g</span> <span class="o">=</span> <span class="n">AtomsToGraphs</span><span class="p">(</span>
+    <span class="n">max_neigh</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span>
+    <span class="n">radius</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span>
+    <span class="n">r_energy</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">r_forces</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">r_distances</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">r_fixed</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">lmdb</span>
+
+<span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">For most cases one just needs to change the name of the lmdb as they require.</span>
+<span class="sd">Make sure to give the entire path in the config (with .lmdb) for IS2RE tasks</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="n">db</span> <span class="o">=</span> <span class="n">lmdb</span><span class="o">.</span><span class="n">open</span><span class="p">(</span>
+    <span class="s2">&quot;data/toy_C3H8.lmdb&quot;</span><span class="p">,</span>
+    <span class="n">map_size</span><span class="o">=</span><span class="mi">1099511627776</span> <span class="o">*</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="n">subdir</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">meminit</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">map_async</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">This method converts extracts all features from trajectory file and convert to Data Object</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="k">def</span><span class="w"> </span><span class="nf">read_trajectory_extract_features</span><span class="p">(</span><span class="n">a2g</span><span class="p">,</span> <span class="n">traj_path</span><span class="p">):</span>
+    <span class="c1"># Read the traj file</span>
+    <span class="n">traj</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">traj_path</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+
+    <span class="c1"># Get tags if you had defined those in the atoms object, if not skip this line</span>
+    <span class="n">tags</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">get_tags</span><span class="p">()</span>
+
+    <span class="c1"># Collect only initial and final image as this is IS2RS task</span>
+    <span class="n">images</span> <span class="o">=</span> <span class="p">[</span><span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span>
+
+    <span class="c1"># Converts a list of atoms object to a list of Data object using a2g defined above</span>
+    <span class="n">data_objects</span> <span class="o">=</span> <span class="n">a2g</span><span class="o">.</span><span class="n">convert_all</span><span class="p">(</span><span class="n">images</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="c1"># Add tags to the data objects if you have them (we would suggest to do so), if not skip this</span>
+    <span class="n">data_objects</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">tags</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+    <span class="n">data_objects</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">tags</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">data_objects</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">pickle</span>
+<span class="n">system_paths</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;data/toy_c3h8_relax.traj&quot;</span><span class="p">]</span> <span class="c1"># specify list of trajectory files you wish to write to LMDBs</span>
+<span class="n">idx</span> <span class="o">=</span> <span class="mi">0</span>
+
+<span class="k">for</span> <span class="n">system</span> <span class="ow">in</span> <span class="n">system_paths</span><span class="p">:</span>
+    <span class="c1"># Extract Data object</span>
+    <span class="n">data_objects</span> <span class="o">=</span> <span class="n">read_trajectory_extract_features</span><span class="p">(</span><span class="n">a2g</span><span class="p">,</span> <span class="n">system</span><span class="p">)</span>
+    <span class="n">initial_struc</span> <span class="o">=</span> <span class="n">data_objects</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="n">relaxed_struc</span> <span class="o">=</span> <span class="n">data_objects</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+    <span class="n">initial_struc</span><span class="o">.</span><span class="n">y_init</span> <span class="o">=</span> <span class="n">initial_struc</span><span class="o">.</span><span class="n">y</span> <span class="c1"># subtract off reference energy, if applicable</span>
+    <span class="k">del</span> <span class="n">initial_struc</span><span class="o">.</span><span class="n">y</span>
+    <span class="n">initial_struc</span><span class="o">.</span><span class="n">y_relaxed</span> <span class="o">=</span> <span class="n">relaxed_struc</span><span class="o">.</span><span class="n">y</span> <span class="c1"># subtract off reference energy, if applicable</span>
+    <span class="n">initial_struc</span><span class="o">.</span><span class="n">pos_relaxed</span> <span class="o">=</span> <span class="n">relaxed_struc</span><span class="o">.</span><span class="n">pos</span>
+
+    <span class="c1"># Filter data if necessary</span>
+    <span class="c1"># OCP filters adsorption energies &gt; |10| eV</span>
+
+    <span class="n">initial_struc</span><span class="o">.</span><span class="n">sid</span> <span class="o">=</span> <span class="n">idx</span>  <span class="c1"># arbitrary unique identifier</span>
+
+    <span class="c1"># no neighbor edge case check</span>
+    <span class="k">if</span> <span class="n">initial_struc</span><span class="o">.</span><span class="n">edge_index</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;no neighbors&quot;</span><span class="p">,</span> <span class="n">traj_path</span><span class="p">)</span>
+        <span class="k">continue</span>
+
+    <span class="c1"># Write to LMDB</span>
+    <span class="n">txn</span> <span class="o">=</span> <span class="n">db</span><span class="o">.</span><span class="n">begin</span><span class="p">(</span><span class="n">write</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">txn</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="s2">&quot;ascii&quot;</span><span class="p">),</span> <span class="n">pickle</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">initial_struc</span><span class="p">,</span> <span class="n">protocol</span><span class="o">=-</span><span class="mi">1</span><span class="p">))</span>
+    <span class="n">txn</span><span class="o">.</span><span class="n">commit</span><span class="p">()</span>
+    <span class="n">db</span><span class="o">.</span><span class="n">sync</span><span class="p">()</span>
+    <span class="n">idx</span> <span class="o">+=</span> <span class="mi">1</span>
+
+<span class="n">db</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.datasets</span><span class="w"> </span><span class="kn">import</span> <span class="n">LmdbDataset</span>
+
+<span class="c1"># LmdbDataset is out custom Dataset method to read the lmdbs as Data objects. Note that we need to give the entire path (including lmdb) for IS2RE</span>
+<span class="n">dataset</span> <span class="o">=</span> <span class="n">LmdbDataset</span><span class="p">({</span><span class="s2">&quot;src&quot;</span><span class="p">:</span> <span class="s2">&quot;data/toy_C3H8.lmdb&quot;</span><span class="p">})</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Size of the dataset created:&quot;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">dataset</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">dataset</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Size of the dataset created: 1
+Data(pos=[38, 3], cell=[1, 3, 3], atomic_numbers=[38], natoms=38, tags=[38], edge_index=[2, 1733], cell_offsets=[1733, 3], edge_distance_vec=[1733, 3], energy=15.804699620275976, forces=[38, 3], fixed=[38], pos_relaxed=[38, 3], sid=0)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(io.BytesIO(b))
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="structure-to-energy-and-forces-s2ef-lmdbs">
+<h2>Structure to Energy and Forces (S2EF) LMDBs<a class="headerlink" href="#structure-to-energy-and-forces-s2ef-lmdbs" title="Link to this heading">#</a></h2>
+<p>S2EF LMDBs utilize the LmdbDatset dataset. This dataset expects a directory of LMDB files. In addition to the attributes defined by AtomsToGraph, the following attributes must be added for the S2EF task:</p>
+<ul class="simple">
+<li><p>tags (optional): 0 - subsurface, 1 - surface, 2 - adsorbate</p></li>
+<li><p>fid: Frame index along the trajcetory</p></li>
+<li><p>sid- sid: Unique system identifier, arbitrary</p></li>
+</ul>
+<p>Additionally, a “length” key must be added to each LMDB file.</p>
+<p>As a demo, we will use the above generated data to create an S2EF LMDB dataset</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s2">&quot;data/s2ef&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">db</span> <span class="o">=</span> <span class="n">lmdb</span><span class="o">.</span><span class="n">open</span><span class="p">(</span>
+    <span class="s2">&quot;data/s2ef/toy_C3H8.lmdb&quot;</span><span class="p">,</span>
+    <span class="n">map_size</span><span class="o">=</span><span class="mi">1099511627776</span> <span class="o">*</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="n">subdir</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">meminit</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">map_async</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">tqdm</span><span class="w"> </span><span class="kn">import</span> <span class="n">tqdm</span>
+<span class="n">tags</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">get_tags</span><span class="p">()</span>
+<span class="n">data_objects</span> <span class="o">=</span> <span class="n">a2g</span><span class="o">.</span><span class="n">convert_all</span><span class="p">(</span><span class="n">traj</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+
+<span class="k">for</span> <span class="n">fid</span><span class="p">,</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="nb">enumerate</span><span class="p">(</span><span class="n">data_objects</span><span class="p">),</span> <span class="n">total</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">data_objects</span><span class="p">)):</span>
+    <span class="c1">#assign sid</span>
+    <span class="n">data</span><span class="o">.</span><span class="n">sid</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">([</span><span class="mi">0</span><span class="p">])</span>
+
+    <span class="c1">#assign fid</span>
+    <span class="n">data</span><span class="o">.</span><span class="n">fid</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">([</span><span class="n">fid</span><span class="p">])</span>
+
+    <span class="c1">#assign tags, if available</span>
+    <span class="n">data</span><span class="o">.</span><span class="n">tags</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">LongTensor</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+
+    <span class="c1"># Filter data if necessary</span>
+    <span class="c1"># OCP filters adsorption energies &gt; |10| eV and forces &gt; |50| eV/A</span>
+
+    <span class="c1"># no neighbor edge case check</span>
+    <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">edge_index</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;no neighbors&quot;</span><span class="p">,</span> <span class="n">traj_path</span><span class="p">)</span>
+        <span class="k">continue</span>
+
+    <span class="n">txn</span> <span class="o">=</span> <span class="n">db</span><span class="o">.</span><span class="n">begin</span><span class="p">(</span><span class="n">write</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">txn</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">fid</span><span class="si">}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="s2">&quot;ascii&quot;</span><span class="p">),</span> <span class="n">pickle</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">protocol</span><span class="o">=-</span><span class="mi">1</span><span class="p">))</span>
+    <span class="n">txn</span><span class="o">.</span><span class="n">commit</span><span class="p">()</span>
+
+<span class="n">txn</span> <span class="o">=</span> <span class="n">db</span><span class="o">.</span><span class="n">begin</span><span class="p">(</span><span class="n">write</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">txn</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;length&quot;</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="s2">&quot;ascii&quot;</span><span class="p">),</span> <span class="n">pickle</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data_objects</span><span class="p">),</span> <span class="n">protocol</span><span class="o">=-</span><span class="mi">1</span><span class="p">))</span>
+<span class="n">txn</span><span class="o">.</span><span class="n">commit</span><span class="p">()</span>
+
+
+<span class="n">db</span><span class="o">.</span><span class="n">sync</span><span class="p">()</span>
+<span class="n">db</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/101 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 47%|████▋     | 47/101 [00:00&lt;00:00, 468.56it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 101/101 [00:00&lt;00:00, 527.63it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="running-on-command-line-preferred-way-to-train-models">
+<h1>Running on command line [Preferred way to train models] <a name="cmd"></a><a class="headerlink" href="#running-on-command-line-preferred-way-to-train-models" title="Link to this heading">#</a></h1>
+<p>The previous sections of this notebook are intended to demonstrate the inner workings of our codebase. For regular training, we suggest that you train and evaluate on command line.</p>
+<ol class="arabic simple">
+<li><p>Clone our repo at https://github.com/FAIR-Chem/fairchem and set up the environment according to the readme.</p></li>
+<li><p>Download relevant data (<a class="reference external" href="https://colab.research.google.com/drive/1oGZcrakB4Pbj8Xq74lSvcRDUHw9L-Dh5#scrollTo=jXoiLncsU3pe">see above for info</a>).</p></li>
+</ol>
+<ol class="arabic simple" start="3">
+<li><p>In the config file, modify the path of the data <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/master/configs/is2re/10k/base.yml#L4">train</a> <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/master/configs/is2re/10k/base.yml#L8">val</a>, <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/master/configs/is2re/10k/base.yml#L5-L7">normalization parameters</a>  as well as any other <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/master/configs/is2re/10k/dimenet_plus_plus/dpp.yml#L4-L16">model</a> or <a class="reference external" href="https://github.com/FAIR-Chem/fairchem/blob/master/configs/is2re/10k/dimenet_plus_plus/dpp.yml#L23-L35">training</a> args.</p></li>
+</ol>
+<p>For a simple example, we’ll train DimeNet++ on IS2RE demo data: <br />
+a. Modify the train data path in <code class="docutils literal notranslate"><span class="pre">/contents/ocp/configs/is2re/10k/base.yml</span></code> in
+Line 4 to <code class="docutils literal notranslate"><span class="pre">/contents/ocp/data/is2re/train_10k/data.lmdb</span></code> and val data path in Line 8 to <code class="docutils literal notranslate"><span class="pre">/contents/ocp/data/is2re/val_2k/data.lmdb</span></code>. <br />
+b. Calculate the mean and std for train data and modify Lines 6-7 respectively <br />
+c. We can change the model parameters in <code class="docutils literal notranslate"><span class="pre">/contents/ocp/configs/is2re/10k/dimenet_plus_plus/dpp.yml</span></code> and we suggest you to change the lr_milestones and warmup_steps as the data here is smaller (these need to be tuned for every dataset).</p>
+<ol class="arabic simple" start="4">
+<li><p>Train: <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">main.py</span> <span class="pre">--mode</span> <span class="pre">train</span> <span class="pre">--config-yml</span> <span class="pre">configs/is2re/10k/dimenet_plus_plus/dpp.yml</span> <span class="pre">--identifier</span> <span class="pre">dpp_is2re_sample</span></code></p></li>
+</ol>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Optional block to try command line training</span>
+<span class="c1"># Note that config args can be added in the command line. For example, --optim.batch_size=1</span>
+</pre></div>
+</div>
+</div>
+</div>
+<ol class="arabic simple" start="5">
+<li><p>Add a data path as a test set to <code class="docutils literal notranslate"><span class="pre">configs/is2re/10k/base.yml</span></code></p></li>
+<li><p>Run predictions with the trained model:
+<code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">main.py</span> <span class="pre">--mode</span> <span class="pre">predict</span> <span class="pre">--config-yml</span> <span class="pre">configs/is2re/10k/dimenet_plus_plus/dpp.yml</span> <span class="pre">--checkpoint</span> <span class="pre">checkpoints/[datetime]-dpp_is2re_sample/checkpoint.pt</span></code></p></li>
+<li><p>View energy predictions at <code class="docutils literal notranslate"><span class="pre">results/[datetime]/is2re_predictions.npz</span></code></p></li>
+</ol>
+<p>For more information on how to train and evaluate, see <a class="reference internal" href="../core/model_training.html"><span class="std std-doc">this readme</span></a>. For checkpoints of publicly available trained models, see <a class="reference internal" href="../core/model_checkpoints.html"><span class="std std-doc">MODELS.md</span></a>.</p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="limitations">
+<h1>Limitations <a name="limit"></a><a class="headerlink" href="#limitations" title="Link to this heading">#</a></h1>
+<p>The OpenCatalyst project is motivated by the problems we face due to climate change, many of which require innovative solutions to reduce energy usage and replace traditional chemical feedstocks with renewable alternatives. For example, one of the most energy intensive chemical processes is the development of new electrochemical catalysts for ammonia fertilizer production that helped to feed the world’s growing population during the 20th century. This is also an illustrative example of possible unintended consequences as advancements in chemistry and materials may be used for numerous purposes. As ammonia fertilization increased in use, its overuse in today’s farming has led to ocean “dead zones” and its production is very carbon intensive. Knowledge and techniques used to create ammonia were also transferred to the creation of explosives during wartime. We hope to steer the use of ML for atomic simulations to societally-beneficial uses by training and testing our approaches on datasets, such as OC20, that were specifically designed to address chemical reactions useful for addressing climate change.</p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="next-steps">
+<h1>Next Steps <a name="steps"></a><a class="headerlink" href="#next-steps" title="Link to this heading">#</a></h1>
+<p>While progress has been well underway - https://opencatalystproject.org/leaderboard.html, a considerable gap still exists between state-of-the-art models and our target goals. We offer some some general thoughts as to next steps for the readers to ponder on or explore:</p>
+<ul class="simple">
+<li><p>GNN depth has consistenly improved model performance. What limitations to depth are there? How far can we push deeper models for OC20?</p></li>
+<li><p>Our best performing models have little to no physical biases encoded. Can we incorporate such biases to improve our models? Experiments with physically inspired embeddings have had no advantage vs. random initializations, are there better ways to incorporate this information into the models?</p></li>
+<li><p>Uncertainty estimation will play an important role in later stages of the project when it comes to large scale screening. How can we get reliable uncertainty estimates from large scale GNNs?</p></li>
+<li><p>Are we limited to message-passing GNNs? Can we leverage alternative architectures for similiar or better performance?</p></li>
+<li><p>Trajectories are nothing more than sequential data points. How can we use sequential modeling techniques to model the full trajectory?</p></li>
+</ul>
+<p>OC20 is a large and diverse dataset with many splits. For those with limited resources but unsure where to start, we provide some general recommendations:</p>
+<ul class="simple">
+<li><p>The IS2RE-direct task is a great place to start. With the largest training set containing ~460k data points, this task is easily accesible for those with even just a single GPU.</p></li>
+<li><p>Those interested in the more general S2EF task don’t need to train on the All set to get meaningful performance.</p>
+<ul>
+<li><p>Results on the 2M dataset are often sufficient to highlight model improvements.</p></li>
+<li><p>For a fixed compute budget (e.g. fixed number of steps), training on the All set often leads to better performance.</p></li>
+</ul>
+</li>
+<li><p>The S2EF 200k dataset is fairly noisy, trying to find meaningful trends using this dataset can be difficult.</p></li>
+</ul>
+<p><a name="references"></a></p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="references">
+<h1>References<a class="headerlink" href="#references" title="Link to this heading">#</a></h1>
+<ul class="simple">
+<li><p>Open Catalyst codebase: https://github.com/FAIR-Chem/fairchem/</p></li>
+<li><p>Open Catalyst webpage: https://opencatalystproject.org/</p></li>
+<li><p><a class="reference external" href="https://arxiv.org/pdf/2010.09435.pdf">Electrocatalysis white paper</a>: C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviere, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon Wood, Junwoong Yoon, Devi Parikh, Zachary Ulissi: “An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage”, 2020; arXiv:2010.09435.</p></li>
+<li><p><a class="reference external" href="https://arxiv.org/pdf/2010.09990.pdf">OC20 dataset paper</a>: L. Chanussot, A. Das, S. Goyal, T. Lavril, M. Shuaibi, M. Riviere, K. Tran, J. Heras-Domingo, C. Ho, W. Hu, A. Palizhati, A. Sriram, B. Wood, J. Yoon, D. Parikh, C. L. Zitnick, and Z. Ulissi. The Open Catalyst 2020 (oc20) dataset and community challenges. ACS Catalysis, 2021.</p></li>
+<li><p><a class="reference external" href="https://arxiv.org/abs/2106.08903">Gemnet model:</a> Johannes Klicpera, Florian Becker, and Stephan Günnemann. Gemnet: Universal directional graph neural networks for molecules, 2021.</p></li>
+</ul>
+</section>
+
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Open Catalyst Project Tutorial Notebook</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#background">Background <a name="background"></a></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#objective">Objective <a name="objective"></a></a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#climate-impact">Climate Impact</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#target-audience">Target Audience</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#background-prerequisites">Background &amp; Prerequisites</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#background-references">Background References</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#software-requirements">Software Requirements</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#dataset-overview">Dataset Overview</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#tutorial-use"><strong>Tutorial Use</strong></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#data-download-1min">Data Download [~1min] <a name="download"></a></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#data-visualization">Data Visualization <a name="visual"></a></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#understanding-the-data">Understanding the data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#generating-sample-data">Generating sample data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#structural-relaxations">Structural relaxations</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#reading-a-trajectory">Reading a trajectory</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#viewing-a-trajectory">Viewing a trajectory</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#data-contents">Data contents <a name="contents"></a></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#atomic-numbers">Atomic numbers</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#atomic-symbols">Atomic symbols</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#unit-cell">Unit cell</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#periodic-boundary-conditions-pbc">Periodic boundary conditions (PBC)</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tags">Tags</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#fixed-atoms-constraint">Fixed atoms constraint</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#adsorption-energy">Adsorption energy</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#plot-energy-profile-of-toy-trajectory">Plot energy profile of toy trajectory</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#force">Force</a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#interacting-with-the-oc20-datasets">Interacting with the OC20 datasets</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#additional-resources">Additional Resources</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#tasks">Tasks</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-energy-and-forces-s2ef">Structure to Energy and Forces (S2EF) <a name="s2ef"></a></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#steps-for-training-an-s2ef-model">Steps for training an S2EF model</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#imports">Imports</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#dataset">Dataset</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#normalize-data">Normalize data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#define-the-config">Define the Config</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#create-the-trainer">Create the trainer</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#train-the-model">Train the model</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#validate-the-model">Validate the model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#load-the-best-checkpoint">Load the best checkpoint</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#run-on-the-test-set">Run on the test set</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-energy-is2re">Initial Structure to Relaxed Energy (IS2RE) <a name="is2re"></a></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#steps-for-training-an-is2re-model">Steps for training an IS2RE model</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Imports</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id2">Dataset</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id3">Normalize data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id4">Define the Config</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id5">Train the Model</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id6">Validate the Model</a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#id7">Load the best checkpoint</a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#test-the-model">Test the model</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-structure-is2rs">Initial Structure to Relaxed Structure (IS2RS) <a name="is2rs"></a></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#steps-for-making-is2rs-predictions">Steps for making IS2RS predictions</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id8">Imports</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id9">Dataset</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#download-pretrained-checkpoint">Download pretrained checkpoint</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id10">Define the Config</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id11">Create the trainer</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id12">Load the best checkpoint</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#run-relaxations">Run relaxations</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#visualize-ml-driven-relaxations">Visualize ML-driven relaxations</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#model-development">Model development <a name="model-dev"></a></a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#id13">Imports</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#atom-and-edge-embeddings">Atom and Edge Embeddings</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#message-passing">Message passing</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#training-the-model">Training the model</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#incorporating-triplets-and-training-gemnet-t">Incorporating triplets and training GemNet-T</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#optional-ocp-calculator">(Optional) OCP Calculator <a name="calc"></a></a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#id14">Download pretrained checkpoint</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#using-the-ocp-calculator">Using the OCP Calculator</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#optional-creating-your-own-lmdbs-for-use-in-the-ocp-repository">(Optional) Creating your own LMDBs for use in the OCP repository</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initial-structure-to-relaxed-energy-is2re-lmdbs">Initial Structure to Relaxed Energy (IS2RE) LMDBs</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#structure-to-energy-and-forces-s2ef-lmdbs">Structure to Energy and Forces (S2EF) LMDBs</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#running-on-command-line-preferred-way-to-train-models">Running on command line [Preferred way to train models] <a name="cmd"></a></a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#limitations">Limitations <a name="limit"></a></a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#next-steps">Next Steps <a name="steps"></a></a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
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+<ul class="nav bd-sidenav">
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+<li class="toctree-l1"><a class="reference internal" href="../core/datasets/oc20neb.html">Open Catalyst 2020 Nudged Elastic Band (OC20NEB)</a></li>
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+    <h1>OCP Data Preprocessing Tutorial</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">OCP Data Preprocessing Tutorial</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#generate-toy-dataset-relaxation-of-co-on-cu">Generate toy dataset: Relaxation of CO on Cu</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#convert-atoms-object-to-data-object">Convert Atoms object to Data object</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#adding-additional-info-to-your-data-objects">Adding additional info to your Data objects</a></li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="ocp-data-preprocessing-tutorial">
+<h1>OCP Data Preprocessing Tutorial<a class="headerlink" href="#ocp-data-preprocessing-tutorial" title="Link to this heading">#</a></h1>
+<p>This notebook provides an overview of converting ASE Atoms objects to PyTorch Geometric Data objects. To better understand the raw data contained within OC20, check out the following tutorial first: https://github.com/Open-Catalyst-Project/ocp/blob/master/docs/source/tutorials/data_visualization.ipynb</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.preprocessing</span><span class="w"> </span><span class="kn">import</span> <span class="n">AtomsToGraphs</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">ase.io</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">bulk</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc100</span><span class="p">,</span> <span class="n">add_adsorbate</span><span class="p">,</span> <span class="n">molecule</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.constraints</span><span class="w"> </span><span class="kn">import</span> <span class="n">FixAtoms</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.calculators.emt</span><span class="w"> </span><span class="kn">import</span> <span class="n">EMT</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="generate-toy-dataset-relaxation-of-co-on-cu">
+<h1>Generate toy dataset: Relaxation of CO on Cu<a class="headerlink" href="#generate-toy-dataset-relaxation-of-co-on-cu" title="Link to this heading">#</a></h1>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">adslab</span> <span class="o">=</span> <span class="n">fcc100</span><span class="p">(</span><span class="s2">&quot;Cu&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="n">ads</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s2">&quot;CO&quot;</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">ads</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">offset</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+<span class="n">cons</span> <span class="o">=</span> <span class="n">FixAtoms</span><span class="p">(</span><span class="n">indices</span><span class="o">=</span><span class="p">[</span><span class="n">atom</span><span class="o">.</span><span class="n">index</span> <span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">adslab</span> <span class="k">if</span> <span class="p">(</span><span class="n">atom</span><span class="o">.</span><span class="n">tag</span> <span class="o">==</span> <span class="mi">3</span><span class="p">)])</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_constraint</span><span class="p">(</span><span class="n">cons</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">center</span><span class="p">(</span><span class="n">vacuum</span><span class="o">=</span><span class="mf">13.0</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_pbc</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">EMT</span><span class="p">())</span>
+<span class="n">dyn</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="s2">&quot;CuCO_adslab.traj&quot;</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+<span class="n">dyn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5261/901556023.py:8: FutureWarning: Please use atoms.calc = calc
+  adslab.set_calculator(EMT())
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>False
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">raw_data</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">&quot;CuCO_adslab.traj&quot;</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">raw_data</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1001
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="convert-atoms-object-to-data-object">
+<h1>Convert Atoms object to Data object<a class="headerlink" href="#convert-atoms-object-to-data-object" title="Link to this heading">#</a></h1>
+<p>The AtomsToGraphs class takes in several arguments to control how Data objects created:</p>
+<ul class="simple">
+<li><p>max_neigh (int):   Maximum number of neighbors a given atom is allowed to have, discarding the furthest</p></li>
+<li><p>radius (float):      Cutoff radius to compute nearest neighbors around</p></li>
+<li><p>r_energy (bool):    Write energy to Data object</p></li>
+<li><p>r_forces (bool):    Write forces to Data object</p></li>
+<li><p>r_distances (bool): Write distances between neighbors to Data object</p></li>
+<li><p>r_edges (bool):     Write neigbhor edge indices to Data object</p></li>
+<li><p>r_fixed (bool):     Write indices of fixed atoms to Data object</p></li>
+</ul>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">a2g</span> <span class="o">=</span> <span class="n">AtomsToGraphs</span><span class="p">(</span>
+    <span class="n">max_neigh</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span>
+    <span class="n">radius</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span>
+    <span class="n">r_energy</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">r_forces</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">r_distances</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">r_edges</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">r_fixed</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data_objects</span> <span class="o">=</span> <span class="n">a2g</span><span class="o">.</span><span class="n">convert_all</span><span class="p">(</span><span class="n">raw_data</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">data_objects</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">data</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Data(pos=[14, 3], cell=[1, 3, 3], atomic_numbers=[14], natoms=14, tags=[14], edge_index=[2, 635], cell_offsets=[635, 3], edge_distance_vec=[635, 3], energy=3.9893144106683787, forces=[14, 3], fixed=[14])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">atomic_numbers</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tensor([29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29,  8,  6],
+       dtype=torch.uint8)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">cell</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tensor([[[ 5.1053,  0.0000,  0.0000],
+         [ 0.0000,  5.1053,  0.0000],
+         [ 0.0000,  0.0000, 32.6100]]])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">edge_index</span> <span class="c1">#neighbor idx, source idx</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tensor([[ 1,  2,  2,  ...,  5,  6,  3],
+        [ 0,  0,  0,  ..., 13, 13, 13]])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">torch_geometric.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">degree</span>
+<span class="c1"># Degree corresponds to the number of neighbors a given node has. Note there is no more than max_neigh neighbors for</span>
+<span class="c1"># any given node.</span>
+
+<span class="n">degree</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">edge_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span> 
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tensor([45., 45., 45., 46., 49., 49., 49., 49., 50., 49., 49., 49., 26., 35.])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">fixed</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tensor([1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=torch.int32)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">forces</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tensor([[ 1.7794e-15,  2.2235e-15,  1.1354e-01],
+        [-8.0838e-16,  1.1120e-15,  1.1344e-01],
+        [ 2.1459e-15,  1.2733e-15,  1.1344e-01],
+        [-5.7891e-16,  8.3663e-16,  1.1294e-01],
+        [-8.5221e-03, -8.5221e-03, -1.1496e-02],
+        [ 8.5221e-03, -8.5221e-03, -1.1496e-02],
+        [-8.5221e-03,  8.5221e-03, -1.1496e-02],
+        [ 8.5221e-03,  8.5221e-03, -1.1496e-02],
+        [-1.6723e-15, -1.1735e-15, -1.0431e-01],
+        [ 3.9409e-16, -1.5543e-15, -6.6610e-02],
+        [-3.4001e-15, -8.4849e-17, -6.6610e-02],
+        [ 1.8858e-15,  9.3691e-16, -3.3250e-01],
+        [-4.4046e-20, -4.4046e-20, -3.4247e-01],
+        [ 8.7549e-18, -5.1229e-18,  5.0512e-01]])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">pos</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tensor([[ 0.0000,  0.0000, 13.0000],
+        [ 2.5527,  0.0000, 13.0000],
+        [ 0.0000,  2.5527, 13.0000],
+        [ 2.5527,  2.5527, 13.0000],
+        [ 1.2763,  1.2763, 14.8050],
+        [ 3.8290,  1.2763, 14.8050],
+        [ 1.2763,  3.8290, 14.8050],
+        [ 3.8290,  3.8290, 14.8050],
+        [ 0.0000,  0.0000, 16.6100],
+        [ 2.5527,  0.0000, 16.6100],
+        [ 0.0000,  2.5527, 16.6100],
+        [ 2.5527,  2.5527, 16.6100],
+        [ 2.5527,  2.5527, 19.6100],
+        [ 2.5527,  2.5527, 18.4597]])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">energy</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>3.9893144106683787
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="adding-additional-info-to-your-data-objects">
+<h1>Adding additional info to your Data objects<a class="headerlink" href="#adding-additional-info-to-your-data-objects" title="Link to this heading">#</a></h1>
+<p>In addition to the above information, the OCP repo requires several other pieces of information for your data to work
+with the provided trainers:</p>
+<ul class="simple">
+<li><p>sid (int): A unique identifier for a particular system. Does not affect your model performance, used for prediction saving</p></li>
+<li><p>fid (int) (S2EF only): If training for the S2EF task, your data must also contain a unique frame identifier for atoms objects coming from the same system.</p></li>
+<li><p>tags (tensor): Tag information - 0 for subsurface, 1 for surface, 2 for adsorbate. Optional, can be used for training.</p></li>
+</ul>
+<p>Other information may be added her as well if you choose to incorporate other information in your models/frameworks</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data_objects</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">system</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">raw_data</span><span class="p">):</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">a2g</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="n">system</span><span class="p">)</span>
+    <span class="n">data</span><span class="o">.</span><span class="n">fid</span> <span class="o">=</span> <span class="n">idx</span>
+    <span class="n">data</span><span class="o">.</span><span class="n">sid</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># All data points come from the same system, arbitrarly define this as 0</span>
+    <span class="n">data_objects</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">data_objects</span><span class="p">[</span><span class="mi">100</span><span class="p">]</span>
+<span class="n">data</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Data(pos=[14, 3], cell=[1, 3, 3], atomic_numbers=[14], natoms=14, tags=[14], edge_index=[2, 638], cell_offsets=[638, 3], edge_distance_vec=[638, 3], energy=3.9683558933958047, forces=[14, 3], fixed=[14], fid=100, sid=0)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">sid</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">fid</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100
+</pre></div>
+</div>
+</div>
+</div>
+<p>Resources:</p>
+<ul class="simple">
+<li><p>https://github.com/Open-Catalyst-Project/ocp/blob/6604e7130ea41fabff93c229af2486433093e3b4/ocpmodels/preprocessing/atoms_to_graphs.py</p></li>
+<li><p>https://github.com/Open-Catalyst-Project/ocp/blob/master/scripts/preprocess_ef.py</p></li>
+</ul>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./legacy_tutorials"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
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+</ul>
+</details></li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
+<ul class="nav bd-sidenav">
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>OCP Data Visualization</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">OCP Data Visualization</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#understanding-the-data">Understanding the data</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#generating-sample-data">Generating sample data</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#reading-a-trajectory">Reading a trajectory</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#viewing-a-trajectory">Viewing a trajectory</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#saving-a-trajectory-video">Saving a trajectory video</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#data-contents">Data contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#atomic-numbers">Atomic numbers</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#atomic-symbols">Atomic symbols</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#unit-cell">Unit cell</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#periodic-boundary-conditions-pbc">Periodic boundary conditions (PBC)</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tags">Tags</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#fixed-atoms-constraint">Fixed atoms constraint</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#energy">Energy</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#forces">Forces</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#resources">Resources</a></li>
+</ul>
+</li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="ocp-data-visualization">
+<h1>OCP Data Visualization<a class="headerlink" href="#ocp-data-visualization" title="Link to this heading">#</a></h1>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib</span>
+<span class="n">matplotlib</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">&#39;Agg&#39;</span><span class="p">)</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="o">%</span><span class="k">matplotlib</span> inline
+
+<span class="n">params</span> <span class="o">=</span> <span class="p">{</span>
+   <span class="s1">&#39;axes.labelsize&#39;</span><span class="p">:</span> <span class="mi">14</span><span class="p">,</span>
+   <span class="s1">&#39;font.size&#39;</span><span class="p">:</span> <span class="mi">14</span><span class="p">,</span>
+   <span class="s1">&#39;font.family&#39;</span><span class="p">:</span> <span class="s1">&#39; DejaVu Sans&#39;</span><span class="p">,</span>
+   <span class="s1">&#39;legend.fontsize&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+   <span class="s1">&#39;xtick.labelsize&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+   <span class="s1">&#39;ytick.labelsize&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+   <span class="s1">&#39;axes.labelsize&#39;</span><span class="p">:</span> <span class="mi">25</span><span class="p">,</span>
+   <span class="s1">&#39;axes.titlesize&#39;</span><span class="p">:</span> <span class="mi">25</span><span class="p">,</span>
+   <span class="s1">&#39;text.usetex&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+   <span class="s1">&#39;figure.figsize&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">]</span>
+<span class="p">}</span>
+<span class="n">matplotlib</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">params</span><span class="p">)</span>
+
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">ase.io</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.io.trajectory</span><span class="w"> </span><span class="kn">import</span> <span class="n">Trajectory</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.io</span><span class="w"> </span><span class="kn">import</span> <span class="n">extxyz</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.calculators.emt</span><span class="w"> </span><span class="kn">import</span> <span class="n">EMT</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc100</span><span class="p">,</span> <span class="n">add_adsorbate</span><span class="p">,</span> <span class="n">molecule</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.constraints</span><span class="w"> </span><span class="kn">import</span> <span class="n">FixAtoms</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">LBFGS</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.visualize.plot</span><span class="w"> </span><span class="kn">import</span> <span class="n">plot_atoms</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase</span><span class="w"> </span><span class="kn">import</span> <span class="n">Atoms</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">IPython.display</span><span class="w"> </span><span class="kn">import</span> <span class="n">Image</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">videos_dir</span> <span class="o">=</span> <span class="s2">&quot;videos/&quot;</span>
+<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">videos_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">&quot;num_procs&quot;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s2">&quot;fps&quot;</span><span class="p">:</span> <span class="mi">30</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="understanding-the-data">
+<h1>Understanding the data<a class="headerlink" href="#understanding-the-data" title="Link to this heading">#</a></h1>
+<p>We use the Atomic Simulation Environment (ASE) to interact with our data. This notebook will provide you with some intuition on what the data looks like, how to visualize it, and the specific properties that are passed on to our models.</p>
+<section id="generating-sample-data">
+<h2>Generating sample data<a class="headerlink" href="#generating-sample-data" title="Link to this heading">#</a></h2>
+<p>For simplicity, we generate sample data in the same format as the OC20 dataset. A toy relaxation (or trajectory) of propane (C3H8) on a copper (Cu) surface is used with a classical-like potential (EMT). Unlike DFT, EMT is extremely fast but limited in accuracy and applicability to certain elements, making it great for demos and tests. You are free to explore alternative systems below, however, you may skip the data construction and move on to “Reading a trajectory”.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">###DATA GENERATION - FEEL FREE TO SKIP###</span>
+
+<span class="n">adslab</span> <span class="o">=</span> <span class="n">fcc100</span><span class="p">(</span><span class="s2">&quot;Cu&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="n">adsorbate</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s2">&quot;C3H8&quot;</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">adsorbate</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">offset</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span> <span class="c1"># adslab = adsorbate + slab</span>
+
+<span class="c1"># tag all slab atoms below surface as 0, surface as 1, adsorbate as 2</span>
+<span class="n">tags</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">adslab</span><span class="p">))</span>
+<span class="n">tags</span><span class="p">[</span><span class="mi">18</span><span class="p">:</span><span class="mi">27</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="n">tags</span><span class="p">[</span><span class="mi">27</span><span class="p">:]</span> <span class="o">=</span> <span class="mi">2</span>
+
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+
+<span class="c1"># Fixed atoms are prevented from moving during a structure relaxation. We fix all slab atoms beneath the surface </span>
+<span class="n">cons</span><span class="o">=</span> <span class="n">FixAtoms</span><span class="p">(</span><span class="n">indices</span><span class="o">=</span><span class="p">[</span><span class="n">atom</span><span class="o">.</span><span class="n">index</span> <span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">adslab</span> <span class="k">if</span> <span class="p">(</span><span class="n">atom</span><span class="o">.</span><span class="n">tag</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)])</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_constraint</span><span class="p">(</span><span class="n">cons</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">center</span><span class="p">(</span><span class="n">vacuum</span><span class="o">=</span><span class="mf">13.0</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_pbc</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">EMT</span><span class="p">())</span>
+
+<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Define structure optimizer - LBFGS. Run for 100 steps, or if the max force on all atoms (fmax) is below 0 ev/A.</span>
+<span class="c1"># fmax is typically set to 0.01-0.05 eV/A, for this demo however we run for the full 100 steps.</span>
+
+<span class="n">dyn</span> <span class="o">=</span> <span class="n">LBFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="s2">&quot;data/toy_c3h8_relax.traj&quot;</span><span class="p">)</span>
+<span class="n">dyn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+
+<span class="n">traj</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">&quot;data/toy_c3h8_relax.traj&quot;</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+
+<span class="c1"># convert traj format to extxyz format (used by OC20 dataset)</span>
+<span class="n">columns</span> <span class="o">=</span> <span class="p">([</span><span class="s1">&#39;symbols&#39;</span><span class="p">,</span><span class="s1">&#39;positions&#39;</span><span class="p">,</span> <span class="s1">&#39;move_mask&#39;</span><span class="p">,</span> <span class="s1">&#39;tags&#39;</span><span class="p">,</span> <span class="s1">&#39;forces&#39;</span><span class="p">])</span>
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;data/toy_c3h8_relax.extxyz&#39;</span><span class="p">,</span><span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">extxyz</span><span class="o">.</span><span class="n">write_xyz</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="n">traj</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">)</span>
+    
+<span class="n">os</span><span class="o">.</span><span class="n">system</span><span class="p">(</span><span class="s2">&quot;rm data/toy_c3h8_relax.traj&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>       Step     Time          Energy          fmax
+LBFGS:    0 19:52:14       15.804700        6.776430
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    1 19:52:14       12.190607        4.323222
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    2 19:52:14       10.240169        2.265527
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    3 19:52:14        9.779223        0.937247
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    4 19:52:14        9.671525        0.770173
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    5 19:52:14        9.574461        0.663540
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    6 19:52:14        9.537502        0.571800
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    7 19:52:14        9.516673        0.446620
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    8 19:52:14        9.481330        0.461143
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    9 19:52:14        9.462255        0.293081
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   10 19:52:14        9.448937        0.249010
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   11 19:52:14        9.433813        0.237051
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   12 19:52:14        9.418884        0.260245
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   13 19:52:14        9.409649        0.253162
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   14 19:52:14        9.404838        0.162398
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   15 19:52:14        9.401753        0.182298
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   16 19:52:14        9.397314        0.259163
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5286/2542206394.py:19: FutureWarning: Please use atoms.calc = calc
+  adslab.set_calculator(EMT())
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   17 19:52:14        9.387947        0.345022
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   18 19:52:14        9.370825        0.407041
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   19 19:52:14        9.342222        0.433340
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   20 19:52:14        9.286822        0.500200
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   21 19:52:14        9.249910        0.524052
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   22 19:52:14        9.187179        0.511994
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   23 19:52:14        9.124811        0.571796
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   24 19:52:14        9.066185        0.540934
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   25 19:52:14        9.000116        1.079833
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   26 19:52:14        8.893632        0.752759
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   27 19:52:14        8.845939        0.332051
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   28 19:52:14        8.815173        0.251242
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   29 19:52:14        8.808721        0.214337
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   30 19:52:14        8.794643        0.154611
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   31 19:52:14        8.789162        0.201404
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   32 19:52:14        8.782320        0.175517
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   33 19:52:14        8.780394        0.103718
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   34 19:52:14        8.778410        0.107611
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   35 19:52:14        8.775079        0.179747
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   36 19:52:14        8.766987        0.333401
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   37 19:52:14        8.750249        0.530715
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   38 19:52:14        8.725928        0.685116
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   39 19:52:14        8.702312        0.582260
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   40 19:52:14        8.661515        0.399625
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   41 19:52:14        8.643432        0.558474
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   42 19:52:14        8.621201        0.367288
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   43 19:52:14        8.614414        0.139424
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   44 19:52:14        8.610785        0.137160
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   45 19:52:14        8.608134        0.146375
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   46 19:52:14        8.604928        0.119648
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   47 19:52:14        8.599151        0.135424
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   48 19:52:14        8.594063        0.147913
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   49 19:52:15        8.589493        0.153840
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   50 19:52:15        8.587274        0.088460
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   51 19:52:15        8.584633        0.093750
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   52 19:52:15        8.580239        0.140870
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   53 19:52:15        8.572938        0.254272
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   54 19:52:15        8.563343        0.291885
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   55 19:52:15        8.554117        0.196557
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   56 19:52:15        8.547597        0.129064
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   57 19:52:15        8.542086        0.128020
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   58 19:52:15        8.535432        0.098202
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   59 19:52:15        8.533622        0.127672
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   60 19:52:15        8.527487        0.116729
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   61 19:52:15        8.523863        0.121762
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   62 19:52:15        8.519229        0.130541
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   63 19:52:15        8.515424        0.101902
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   64 19:52:15        8.511240        0.212223
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   65 19:52:15        8.507967        0.266593
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   66 19:52:15        8.503903        0.237734
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   67 19:52:15        8.497575        0.162253
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   68 19:52:15        8.485434        0.202203
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   69 19:52:15        8.466738        0.215895
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   70 19:52:15        8.467607        0.334764
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   71 19:52:15        8.454037        0.106310
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   72 19:52:15        8.448980        0.119721
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   73 19:52:15        8.446550        0.099221
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   74 19:52:15        8.444705        0.056244
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   75 19:52:15        8.443403        0.038831
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   76 19:52:15        8.442646        0.054772
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   77 19:52:15        8.442114        0.061370
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   78 19:52:15        8.440960        0.058800
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   79 19:52:15        8.439820        0.048198
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   80 19:52:15        8.438600        0.051251
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   81 19:52:15        8.437429        0.054130
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   82 19:52:15        8.435695        0.067234
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   83 19:52:15        8.431957        0.085678
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   84 19:52:15        8.423485        0.133240
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   85 19:52:15        8.413846        0.207812
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   86 19:52:15        8.404849        0.178747
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   87 19:52:15        8.385339        0.169017
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   88 19:52:15        8.386849        0.187645
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   89 19:52:15        8.371078        0.118124
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   90 19:52:15        8.368801        0.094222
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   91 19:52:15        8.366226        0.066960
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   92 19:52:15        8.361680        0.054964
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   93 19:52:15        8.360631        0.047342
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   94 19:52:15        8.359692        0.024179
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   95 19:52:15        8.359361        0.015549
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   96 19:52:15        8.359163        0.014284
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   97 19:52:15        8.359102        0.015615
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   98 19:52:15        8.359048        0.015492
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   99 19:52:15        8.358986        0.014214
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:  100 19:52:15        8.358921        0.013159
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/ase/io/extxyz.py:311: UserWarning: Skipping unhashable information adsorbate_info
+  warnings.warn(&#39;Skipping unhashable information &#39;
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="reading-a-trajectory">
+<h2>Reading a trajectory<a class="headerlink" href="#reading-a-trajectory" title="Link to this heading">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">identifier</span> <span class="o">=</span> <span class="s2">&quot;toy_c3h8_relax.extxyz&quot;</span>
+<span class="n">traj</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">&quot;data/</span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">identifier</span><span class="p">,</span> <span class="n">index</span><span class="o">=</span><span class="s2">&quot;:&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="viewing-a-trajectory">
+<h2>Viewing a trajectory<a class="headerlink" href="#viewing-a-trajectory" title="Link to this heading">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;initial&#39;</span><span class="p">,</span> <span class="s1">&#39;middle&#39;</span><span class="p">,</span> <span class="s1">&#39;final&#39;</span><span class="p">]</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">3</span><span class="p">):</span>
+    <span class="n">ax</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
+    <span class="n">ax</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="mi">50</span><span class="p">],</span> <span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+<span class="n">ase</span><span class="o">.</span><span class="n">visualize</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">plot_atoms</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">ax</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">radii</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Axes: title={&#39;center&#39;: &#39;final&#39;}&gt;
+</pre></div>
+</div>
+<img alt="../_images/816bcf8dc3bde9539b21bfcb9e0ffae00c836ad5fca7aa645677e20d85034244.png" src="../_images/816bcf8dc3bde9539b21bfcb9e0ffae00c836ad5fca7aa645677e20d85034244.png" />
+</div>
+</div>
+</section>
+<section id="saving-a-trajectory-video">
+<h2>Saving a trajectory video<a class="headerlink" href="#saving-a-trajectory-video" title="Link to this heading">#</a></h2>
+<p>More visualization resources can be found here: https://wiki.fysik.dtu.dk/ase/ase/visualize/visualize.html.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">identifier</span> <span class="o">=</span> <span class="s2">&quot;toy_c3h8_relax.extxyz&quot;</span>
+<span class="n">traj</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">&quot;data/</span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">identifier</span><span class="p">,</span> <span class="n">index</span><span class="o">=</span><span class="s2">&quot;:&quot;</span><span class="p">)</span>
+
+<span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">videos_dir</span><span class="p">,</span> <span class="n">identifier</span> <span class="o">+</span> <span class="s2">&quot;.gif&quot;</span><span class="p">),</span>
+             <span class="n">traj</span><span class="p">,</span>
+             <span class="n">interval</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+             <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-75x, 45y, 10z&quot;</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+<span class="n">Image</span><span class="p">(</span><span class="nb">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">videos_dir</span><span class="p">,</span> <span class="n">identifier</span> <span class="o">+</span> <span class="s2">&quot;.gif&quot;</span><span class="p">),</span><span class="s1">&#39;rb&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>MovieWriter ffmpeg unavailable; using Pillow instead.
+</pre></div>
+</div>
+<img alt="../_images/546ae620a06795d26cc896997cc1c45f7da246ce03f62aa4ce1498378b0a7f19.gif" src="../_images/546ae620a06795d26cc896997cc1c45f7da246ce03f62aa4ce1498378b0a7f19.gif" />
+</div>
+</div>
+</section>
+<section id="data-contents">
+<h2>Data contents<a class="headerlink" href="#data-contents" title="Link to this heading">#</a></h2>
+<p>Here we take a closer look at what information is contained within these trajectories.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">i_structure</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">i_structure</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Atoms(symbols=&#39;Cu27C3H8&#39;, pbc=True, cell=[7.65796644025031, 7.65796644025031, 33.266996999999996], tags=..., constraint=FixAtoms(indices=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]), calculator=SinglePointCalculator(...))
+</pre></div>
+</div>
+</div>
+</div>
+<section id="atomic-numbers">
+<h3>Atomic numbers<a class="headerlink" href="#atomic-numbers" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">numbers</span> <span class="o">=</span> <span class="n">i_structure</span><span class="o">.</span><span class="n">get_atomic_numbers</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">numbers</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29
+ 29 29 29  6  6  6  1  1  1  1  1  1  1  1]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="atomic-symbols">
+<h3>Atomic symbols<a class="headerlink" href="#atomic-symbols" title="Link to this heading">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">symbols</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">i_structure</span><span class="o">.</span><span class="n">get_chemical_symbols</span><span class="p">())</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">symbols</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39;
+ &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;Cu&#39; &#39;C&#39; &#39;C&#39;
+ &#39;C&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39; &#39;H&#39;]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="unit-cell">
+<h3>Unit cell<a class="headerlink" href="#unit-cell" title="Link to this heading">#</a></h3>
+<p>The unit cell is the volume containing our system of interest. Express as a 3x3 array representing the directional vectors that make up the volume. Illustrated as the dashed box in the above visuals.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cell</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">i_structure</span><span class="o">.</span><span class="n">cell</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">cell</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[ 7.65796644  0.          0.        ]
+ [ 0.          7.65796644  0.        ]
+ [ 0.          0.         33.266997  ]]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="periodic-boundary-conditions-pbc">
+<h3>Periodic boundary conditions (PBC)<a class="headerlink" href="#periodic-boundary-conditions-pbc" title="Link to this heading">#</a></h3>
+<p>x,y,z boolean representing whether a unit cell repeats in the corresponding directions. The OC20 dataset sets this to [True, True, True], with a large enough vacuum layer above the surface such that a unit cell does not see itself in the z direction.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">pbc</span> <span class="o">=</span> <span class="n">i_structure</span><span class="o">.</span><span class="n">pbc</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">pbc</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ True  True  True]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="tags">
+<h3>Tags<a class="headerlink" href="#tags" title="Link to this heading">#</a></h3>
+<p>The OC20 dataset consists of systems with several different types of atoms. To help with identifying the index of certain atoms, we tag each atom according to where it is found in the system - sub-surface slab atoms, surface slab atoms, and adsorbate atoms.</p>
+<p>Tag:</p>
+<p>0 - Sub-surface slab atoms <br>
+1 - Surface slab atoms<br>
+2 - Adsorbate atoms</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">tags</span> <span class="o">=</span> <span class="n">i_structure</span><span class="o">.</span><span class="n">get_tags</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">tags</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2
+ 2]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="fixed-atoms-constraint">
+<h3>Fixed atoms constraint<a class="headerlink" href="#fixed-atoms-constraint" title="Link to this heading">#</a></h3>
+<p>In reality, surfaces contain many, many more atoms beneath what we’ve illustrated as the surface. At an infinite depth, these subsurface atoms would look just like the bulk structure. We approximate a true surface by fixing the subsurface atoms into their “bulk” locations. This ensures that they cannot move at the “bottom” of the surface. If they could, this would throw off our calculations. Consistent with the above, we fix all atoms with tags=0, and denote them as “fixed”. All other atoms are considered “free”.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cons</span> <span class="o">=</span> <span class="n">i_structure</span><span class="o">.</span><span class="n">constraints</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">cons</span><span class="p">,</span> <span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<span class="c1"># indices of fixed atoms</span>
+<span class="n">indices</span> <span class="o">=</span> <span class="n">cons</span><span class="o">.</span><span class="n">index</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<span class="c1"># fixed atoms correspond to tags = 0</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">tags</span><span class="p">[</span><span class="n">indices</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>FixAtoms(indices=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]) 
+
+[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17] 
+
+[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="energy">
+<h3>Energy<a class="headerlink" href="#energy" title="Link to this heading">#</a></h3>
+<p>The energy of the system is one of the properties of interest in the OC20 dataset. It’s important to note that absolute energies provide little value to researchers and must be referenced properly to be useful. The OC20 dataset references all it’s energies to the bare slab + gas references to arrive at adsorption energies. Adsorption energies are important in studying catalysts and their corresponding reaction rates. In addition to the structure realxations of the OC20 dataset, bare slab and gas (N2, H2, H2O, CO) relaxations were carried out with DFT in order to calculate adsorption energies.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">final_structure</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+<span class="n">relaxed_energy</span> <span class="o">=</span> <span class="n">final_structure</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Relaxed absolute energy = </span><span class="si">{</span><span class="n">relaxed_energy</span><span class="si">}</span><span class="s1"> eV&#39;</span><span class="p">)</span>
+
+<span class="c1"># Corresponding raw slab used in original adslab (adsorbate+slab) system. </span>
+<span class="n">raw_slab</span> <span class="o">=</span> <span class="n">fcc100</span><span class="p">(</span><span class="s2">&quot;Cu&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="n">raw_slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">EMT</span><span class="p">())</span>
+<span class="n">raw_slab_energy</span> <span class="o">=</span> <span class="n">raw_slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Raw slab energy = </span><span class="si">{</span><span class="n">raw_slab_energy</span><span class="si">}</span><span class="s1"> eV&#39;</span><span class="p">)</span>
+
+
+<span class="n">adsorbate</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">(</span><span class="s2">&quot;C3H8&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">get_chemical_symbols</span><span class="p">()</span>
+<span class="c1"># For clarity, we define arbitrary gas reference energies here.</span>
+<span class="c1"># A more detailed discussion of these calculations can be found in the corresponding paper&#39;s SI. </span>
+<span class="n">gas_reference_energies</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;H&#39;</span><span class="p">:</span> <span class="mf">.3</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">:</span> <span class="mf">.45</span><span class="p">,</span> <span class="s1">&#39;C&#39;</span><span class="p">:</span> <span class="mf">.35</span><span class="p">,</span> <span class="s1">&#39;N&#39;</span><span class="p">:</span> <span class="mf">.50</span><span class="p">}</span>
+
+<span class="n">adsorbate_reference_energy</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="k">for</span> <span class="n">ads</span> <span class="ow">in</span> <span class="n">adsorbate</span><span class="p">:</span>
+    <span class="n">adsorbate_reference_energy</span> <span class="o">+=</span> <span class="n">gas_reference_energies</span><span class="p">[</span><span class="n">ads</span><span class="p">]</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Adsorbte reference energy = </span><span class="si">{</span><span class="n">adsorbate_reference_energy</span><span class="si">}</span><span class="s1"> eV</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<span class="n">adsorption_energy</span> <span class="o">=</span> <span class="n">relaxed_energy</span> <span class="o">-</span> <span class="n">raw_slab_energy</span> <span class="o">-</span> <span class="n">adsorbate_reference_energy</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Adsorption energy: </span><span class="si">{</span><span class="n">adsorption_energy</span><span class="si">}</span><span class="s1"> eV&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Relaxed absolute energy = 8.358921451410891 eV
+Raw slab energy = 8.127167122749576 eV
+Adsorbte reference energy = 3.4499999999999993 eV
+
+Adsorption energy: -3.2182456713386838 eV
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5286/1528962.py:7: FutureWarning: Please use atoms.calc = calc
+  raw_slab.set_calculator(EMT())
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Plot energy profile of toy trajectory</span>
+<span class="n">energies</span> <span class="o">=</span> <span class="p">[</span><span class="n">image</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span> <span class="o">-</span> <span class="n">raw_slab_energy</span> <span class="o">-</span> <span class="n">adsorbate_reference_energy</span> <span class="k">for</span> <span class="n">image</span> <span class="ow">in</span> <span class="n">traj</span><span class="p">]</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">energies</span><span class="p">)),</span> <span class="n">energies</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Step&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">24</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Energy, eV&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">24</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Text(0, 0.5, &#39;Energy, eV&#39;)
+</pre></div>
+</div>
+<img alt="../_images/2ede3ecd0a7d909d581693d45e2e9268bd5861e8d396cfd74887a0323591ac06.png" src="../_images/2ede3ecd0a7d909d581693d45e2e9268bd5861e8d396cfd74887a0323591ac06.png" />
+</div>
+</div>
+</section>
+<section id="forces">
+<h3>Forces<a class="headerlink" href="#forces" title="Link to this heading">#</a></h3>
+<p>Forces are another important property of the OC20 dataset. Unlike datasets like QM9 which contain only ground state properties, the OC20 dataset contains per-atom forces necessary to carry out atomistic simulations. Physically, forces are the negative gradient of energy w.r.t atomic positions: <span class="math notranslate nohighlight">\(F = -\frac{dE}{dx}\)</span>. Maintaining this energy-force consistency is important for models that seek to make predictions on both.</p>
+<p>The “apply_constraint” argument controls whether to apply system constraints to the forces. In the OC20 dataset, this controls whether to return forces for fixed atoms (apply_constraint=False) or return 0s (apply_constraint=True).</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Returning forces for all atoms - regardless of whether &quot;fixed&quot; or &quot;free&quot;</span>
+<span class="n">i_structure</span><span class="o">.</span><span class="n">get_forces</span><span class="p">(</span><span class="n">apply_constraint</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([[-1.07900000e-05, -3.80000000e-06,  1.13560540e-01],
+       [ 0.00000000e+00, -4.29200000e-05,  1.13302410e-01],
+       [ 1.07900000e-05, -3.80000000e-06,  1.13560540e-01],
+       [-1.84600000e-05,  0.00000000e+00,  1.13543430e-01],
+       [ 0.00000000e+00,  0.00000000e+00,  1.13047800e-01],
+       [ 1.84600000e-05, -0.00000000e+00,  1.13543430e-01],
+       [-1.07900000e-05,  3.80000000e-06,  1.13560540e-01],
+       [-0.00000000e+00,  4.29200000e-05,  1.13302410e-01],
+       [ 1.07900000e-05,  3.80000000e-06,  1.13560540e-01],
+       [-1.10430500e-02, -2.53094000e-03, -4.84573700e-02],
+       [ 1.10430500e-02, -2.53094000e-03, -4.84573700e-02],
+       [-0.00000000e+00, -2.20890000e-04, -2.07827000e-03],
+       [-1.10430500e-02,  2.53094000e-03, -4.84573700e-02],
+       [ 1.10430500e-02,  2.53094000e-03, -4.84573700e-02],
+       [-0.00000000e+00,  2.20890000e-04, -2.07827000e-03],
+       [-3.49808000e-03, -0.00000000e+00, -7.85544000e-03],
+       [ 3.49808000e-03, -0.00000000e+00, -7.85544000e-03],
+       [-0.00000000e+00, -0.00000000e+00, -5.97640000e-04],
+       [-3.18144370e-01, -2.36420450e-01, -3.97089230e-01],
+       [ 0.00000000e+00, -2.18895316e+00, -2.74768262e+00],
+       [ 3.18144370e-01, -2.36420450e-01, -3.97089230e-01],
+       [-5.65980520e-01,  0.00000000e+00, -6.16046990e-01],
+       [ 0.00000000e+00, -0.00000000e+00, -4.47152822e+00],
+       [ 5.65980520e-01,  0.00000000e+00, -6.16046990e-01],
+       [-3.18144370e-01,  2.36420450e-01, -3.97089230e-01],
+       [-0.00000000e+00,  2.18895316e+00, -2.74768262e+00],
+       [ 3.18144370e-01,  2.36420450e-01, -3.97089230e-01],
+       [-0.00000000e+00,  0.00000000e+00, -3.96835355e+00],
+       [-0.00000000e+00, -3.64190926e+00,  5.71458646e+00],
+       [-0.00000000e+00,  3.64190926e+00,  5.71458646e+00],
+       [-2.18178516e+00,  0.00000000e+00,  1.67589182e+00],
+       [ 2.18178516e+00,  0.00000000e+00,  1.67589182e+00],
+       [ 0.00000000e+00,  2.46333681e+00,  1.78299828e+00],
+       [ 0.00000000e+00, -2.46333681e+00,  1.78299828e+00],
+       [ 6.18714050e+00,  2.26336330e-01, -5.99485570e-01],
+       [-6.18714050e+00,  2.26336330e-01, -5.99485570e-01],
+       [-6.18714050e+00, -2.26336330e-01, -5.99485570e-01],
+       [ 6.18714050e+00, -2.26336330e-01, -5.99485570e-01]])
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Applying the fixed atoms constraint to the forces</span>
+<span class="n">i_structure</span><span class="o">.</span><span class="n">get_forces</span><span class="p">(</span><span class="n">apply_constraint</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([[ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [ 0.        ,  0.        ,  0.        ],
+       [-0.31814437, -0.23642045, -0.39708923],
+       [ 0.        , -2.18895316, -2.74768262],
+       [ 0.31814437, -0.23642045, -0.39708923],
+       [-0.56598052,  0.        , -0.61604699],
+       [ 0.        , -0.        , -4.47152822],
+       [ 0.56598052,  0.        , -0.61604699],
+       [-0.31814437,  0.23642045, -0.39708923],
+       [-0.        ,  2.18895316, -2.74768262],
+       [ 0.31814437,  0.23642045, -0.39708923],
+       [-0.        ,  0.        , -3.96835355],
+       [-0.        , -3.64190926,  5.71458646],
+       [-0.        ,  3.64190926,  5.71458646],
+       [-2.18178516,  0.        ,  1.67589182],
+       [ 2.18178516,  0.        ,  1.67589182],
+       [ 0.        ,  2.46333681,  1.78299828],
+       [ 0.        , -2.46333681,  1.78299828],
+       [ 6.1871405 ,  0.22633633, -0.59948557],
+       [-6.1871405 ,  0.22633633, -0.59948557],
+       [-6.1871405 , -0.22633633, -0.59948557],
+       [ 6.1871405 , -0.22633633, -0.59948557]])
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="resources">
+<h2>Resources<a class="headerlink" href="#resources" title="Link to this heading">#</a></h2>
+<p>More helpful resources, tutorials, and documentation can be found at ASE’s webpage: https://wiki.fysik.dtu.dk/ase/index.html. We point to specific pages that may be of interest:</p>
+<ul class="simple">
+<li><p>Interacting with Atoms Object: https://wiki.fysik.dtu.dk/ase/ase/atoms.html <br></p></li>
+<li><p>Visualization: https://wiki.fysik.dtu.dk/ase/ase/visualize/visualize.html <br></p></li>
+<li><p>Structure optimization: https://wiki.fysik.dtu.dk/ase/ase/optimize.html <br></p></li>
+<li><p>Tutorials: https://wiki.fysik.dtu.dk/ase/tutorials/tutorials.html <br></p></li>
+</ul>
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
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+            theme: "abcdef",
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+        },
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+            name: "python3",
+            path: "./legacy_tutorials"
+        },
+        predefinedOutput: true
+    }
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+    <script>kernelName = 'python3'</script>
+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">OCP Data Visualization</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#understanding-the-data">Understanding the data</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#generating-sample-data">Generating sample data</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#reading-a-trajectory">Reading a trajectory</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#viewing-a-trajectory">Viewing a trajectory</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#saving-a-trajectory-video">Saving a trajectory video</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#data-contents">Data contents</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#atomic-numbers">Atomic numbers</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#atomic-symbols">Atomic symbols</a></li>
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+<h1>Legacy [deprecated] Tutorials<a class="headerlink" href="#legacy-deprecated-tutorials" title="Link to this heading">#</a></h1>
+<p>As part of the <a class="reference external" href="https://www.climatechange.ai/papers/neurips2021/79">NeurIPS 2021 Climate Change AI Workshop</a>, a comprehensive, interactive Google-Colab tutorial notebook can be found <a class="reference external" href="https://colab.research.google.com/github/Open-Catalyst-Project/ocp/blob/master/tutorials/OCP_Tutorial.ipynb">here</a>. This notebook is designed for those new to OC20 and interested in how to get started. Topics include:</p>
+<ul class="simple">
+<li><p>Background</p></li>
+<li><p>Software Requirements</p></li>
+<li><p>Dataset overview &amp; Visualization</p></li>
+<li><p>OCP Tasks - Train, Validate, Predict</p>
+<ul>
+<li><p>IS2RE</p></li>
+<li><p>S2EF</p></li>
+<li><p>IS2RS</p></li>
+</ul>
+</li>
+<li><p>OCP Calculator</p></li>
+<li><p>Model Development</p></li>
+</ul>
+<p>Additionally, we provide several Jupyter notebooks:</p>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html">Open Catalyst Project Tutorial Notebook</a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#climate-impact">Climate Impact</a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#target-audience">Target Audience</a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#background-prerequisites">Background &amp; Prerequisites</a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#software-requirements">Software Requirements</a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#dataset-overview">Dataset Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#tasks">Tasks</a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#model-development">Model development <a name="model-dev"></a></a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#optional-ocp-calculator">(Optional) OCP Calculator <a name="calc"></a></a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#optional-creating-your-own-lmdbs-for-use-in-the-ocp-repository">(Optional) Creating your own LMDBs for use in the OCP repository</a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#running-on-command-line-preferred-way-to-train-models">Running on command line [Preferred way to train models] <a name="cmd"></a></a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#limitations">Limitations <a name="limit"></a></a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#next-steps">Next Steps <a name="steps"></a></a></li>
+<li class="toctree-l1"><a class="reference internal" href="OCP_Tutorial.html#references">References</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_preprocessing.html">OCP Data Preprocessing Tutorial</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_preprocessing.html#generate-toy-dataset-relaxation-of-co-on-cu">Generate toy dataset: Relaxation of CO on Cu</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_preprocessing.html#convert-atoms-object-to-data-object">Convert Atoms object to Data object</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_preprocessing.html#adding-additional-info-to-your-data-objects">Adding additional info to your Data objects</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_visualization.html">OCP Data Visualization</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_visualization.html#understanding-the-data">Understanding the data</a></li>
+</ul>
+</div>
+</section>
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diff --git a/objects.inv b/objects.inv
index e0c2c7ae7e2500a9e286938fb7f1738b23482935..7886c6949bae0b18cda7efb794604436afaff30e 100644
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+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+
+   <h1>Python Module Index</h1>
+
+   <div class="modindex-jumpbox">
+   <a href="#cap-a"><strong>a</strong></a> | 
+   <a href="#cap-c"><strong>c</strong></a> | 
+   <a href="#cap-d"><strong>d</strong></a> | 
+   <a href="#cap-o"><strong>o</strong></a>
+   </div>
+
+   <table class="indextable modindextable">
+     <tr class="pcap"><td></td><td>&#160;</td><td></td></tr>
+     <tr class="cap" id="cap-a"><td></td><td>
+       <strong>a</strong></td><td></td></tr>
+     <tr>
+       <td><img src="_static/minus.png" class="toggler"
+              id="toggle-1" style="display: none" alt="-" /></td>
+       <td>
+       <code class="xref">adsorbml</code></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html#module-adsorbml.2023_neurips_challenge.challenge_eval"><code class="xref">adsorbml.2023_neurips_challenge.challenge_eval</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/adsorbml/scripts/dense_eval/index.html#module-adsorbml.scripts.dense_eval"><code class="xref">adsorbml.scripts.dense_eval</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/adsorbml/scripts/process_mlrs/index.html#module-adsorbml.scripts.process_mlrs"><code class="xref">adsorbml.scripts.process_mlrs</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/adsorbml/scripts/utils/index.html#module-adsorbml.scripts.utils"><code class="xref">adsorbml.scripts.utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/adsorbml/scripts/write_top_k_vasp/index.html#module-adsorbml.scripts.write_top_k_vasp"><code class="xref">adsorbml.scripts.write_top_k_vasp</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="pcap"><td></td><td>&#160;</td><td></td></tr>
+     <tr class="cap" id="cap-c"><td></td><td>
+       <strong>c</strong></td><td></td></tr>
+     <tr>
+       <td><img src="_static/minus.png" class="toggler"
+              id="toggle-2" style="display: none" alt="-" /></td>
+       <td>
+       <a href="autoapi/cattsunami/index.html#module-cattsunami"><code class="xref">cattsunami</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-2">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/cattsunami/core/index.html#module-cattsunami.core"><code class="xref">cattsunami.core</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-2">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/cattsunami/core/autoframe/index.html#module-cattsunami.core.autoframe"><code class="xref">cattsunami.core.autoframe</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-2">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/cattsunami/core/ocpneb/index.html#module-cattsunami.core.ocpneb"><code class="xref">cattsunami.core.ocpneb</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-2">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/cattsunami/core/reaction/index.html#module-cattsunami.core.reaction"><code class="xref">cattsunami.core.reaction</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-2">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/cattsunami/databases/index.html#module-cattsunami.databases"><code class="xref">cattsunami.databases</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-2">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/cattsunami/run_validation/run_validation/index.html#module-cattsunami.run_validation.run_validation"><code class="xref">cattsunami.run_validation.run_validation</code></a></td><td>
+       <em></em></td></tr>
+     <tr>
+       <td><img src="_static/minus.png" class="toggler"
+              id="toggle-3" style="display: none" alt="-" /></td>
+       <td>
+       <a href="autoapi/core/index.html#module-core"><code class="xref">core</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/_cli/index.html#module-core._cli"><code class="xref">core._cli</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/_cli_hydra/index.html#module-core._cli_hydra"><code class="xref">core._cli_hydra</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/index.html#module-core.common"><code class="xref">core.common</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/data_parallel/index.html#module-core.common.data_parallel"><code class="xref">core.common.data_parallel</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/distutils/index.html#module-core.common.distutils"><code class="xref">core.common.distutils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/flags/index.html#module-core.common.flags"><code class="xref">core.common.flags</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/gp_utils/index.html#module-core.common.gp_utils"><code class="xref">core.common.gp_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/hpo_utils/index.html#module-core.common.hpo_utils"><code class="xref">core.common.hpo_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/logger/index.html#module-core.common.logger"><code class="xref">core.common.logger</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/profiler_utils/index.html#module-core.common.profiler_utils"><code class="xref">core.common.profiler_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/registry/index.html#module-core.common.registry"><code class="xref">core.common.registry</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/relaxation/index.html#module-core.common.relaxation"><code class="xref">core.common.relaxation</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/relaxation/ase_utils/index.html#module-core.common.relaxation.ase_utils"><code class="xref">core.common.relaxation.ase_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/relaxation/ml_relaxation/index.html#module-core.common.relaxation.ml_relaxation"><code class="xref">core.common.relaxation.ml_relaxation</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/relaxation/optimizable/index.html#module-core.common.relaxation.optimizable"><code class="xref">core.common.relaxation.optimizable</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/relaxation/optimizers/index.html#module-core.common.relaxation.optimizers"><code class="xref">core.common.relaxation.optimizers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/relaxation/optimizers/lbfgs_torch/index.html#module-core.common.relaxation.optimizers.lbfgs_torch"><code class="xref">core.common.relaxation.optimizers.lbfgs_torch</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/slurm/index.html#module-core.common.slurm"><code class="xref">core.common.slurm</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/test_utils/index.html#module-core.common.test_utils"><code class="xref">core.common.test_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/transforms/index.html#module-core.common.transforms"><code class="xref">core.common.transforms</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/tutorial_utils/index.html#module-core.common.tutorial_utils"><code class="xref">core.common.tutorial_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/typing/index.html#module-core.common.typing"><code class="xref">core.common.typing</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/common/utils/index.html#module-core.common.utils"><code class="xref">core.common.utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/components/runner/index.html#module-core.components.runner"><code class="xref">core.components.runner</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/index.html#module-core.datasets"><code class="xref">core.datasets</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/_utils/index.html#module-core.datasets._utils"><code class="xref">core.datasets._utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/ase_datasets/index.html#module-core.datasets.ase_datasets"><code class="xref">core.datasets.ase_datasets</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/base_dataset/index.html#module-core.datasets.base_dataset"><code class="xref">core.datasets.base_dataset</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/embeddings/index.html#module-core.datasets.embeddings"><code class="xref">core.datasets.embeddings</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/embeddings/atomic_radii/index.html#module-core.datasets.embeddings.atomic_radii"><code class="xref">core.datasets.embeddings.atomic_radii</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/embeddings/continuous_embeddings/index.html#module-core.datasets.embeddings.continuous_embeddings"><code class="xref">core.datasets.embeddings.continuous_embeddings</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/embeddings/khot_embeddings/index.html#module-core.datasets.embeddings.khot_embeddings"><code class="xref">core.datasets.embeddings.khot_embeddings</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/embeddings/qmof_khot_embeddings/index.html#module-core.datasets.embeddings.qmof_khot_embeddings"><code class="xref">core.datasets.embeddings.qmof_khot_embeddings</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/lmdb_database/index.html#module-core.datasets.lmdb_database"><code class="xref">core.datasets.lmdb_database</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/lmdb_dataset/index.html#module-core.datasets.lmdb_dataset"><code class="xref">core.datasets.lmdb_dataset</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/oc22_lmdb_dataset/index.html#module-core.datasets.oc22_lmdb_dataset"><code class="xref">core.datasets.oc22_lmdb_dataset</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/datasets/target_metadata_guesser/index.html#module-core.datasets.target_metadata_guesser"><code class="xref">core.datasets.target_metadata_guesser</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/index.html#module-core.models"><code class="xref">core.models</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/base/index.html#module-core.models.base"><code class="xref">core.models.base</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/dimenet_plus_plus/index.html#module-core.models.dimenet_plus_plus"><code class="xref">core.models.dimenet_plus_plus</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/index.html#module-core.models.equiformer_v2"><code class="xref">core.models.equiformer_v2</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/activation/index.html#module-core.models.equiformer_v2.activation"><code class="xref">core.models.equiformer_v2.activation</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/drop/index.html#module-core.models.equiformer_v2.drop"><code class="xref">core.models.equiformer_v2.drop</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/edge_rot_mat/index.html#module-core.models.equiformer_v2.edge_rot_mat"><code class="xref">core.models.equiformer_v2.edge_rot_mat</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/equiformer_v2/index.html#module-core.models.equiformer_v2.equiformer_v2"><code class="xref">core.models.equiformer_v2.equiformer_v2</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/equiformer_v2_dens/index.html#module-core.models.equiformer_v2.equiformer_v2_dens"><code class="xref">core.models.equiformer_v2.equiformer_v2_dens</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/equiformer_v2_deprecated/index.html#module-core.models.equiformer_v2.equiformer_v2_deprecated"><code class="xref">core.models.equiformer_v2.equiformer_v2_deprecated</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/eqv2_to_eqv2_hydra/index.html#module-core.models.equiformer_v2.eqv2_to_eqv2_hydra"><code class="xref">core.models.equiformer_v2.eqv2_to_eqv2_hydra</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/gaussian_rbf/index.html#module-core.models.equiformer_v2.gaussian_rbf"><code class="xref">core.models.equiformer_v2.gaussian_rbf</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/heads/index.html#module-core.models.equiformer_v2.heads"><code class="xref">core.models.equiformer_v2.heads</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/heads/rank2/index.html#module-core.models.equiformer_v2.heads.rank2"><code class="xref">core.models.equiformer_v2.heads.rank2</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/heads/scalar/index.html#module-core.models.equiformer_v2.heads.scalar"><code class="xref">core.models.equiformer_v2.heads.scalar</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/heads/vector/index.html#module-core.models.equiformer_v2.heads.vector"><code class="xref">core.models.equiformer_v2.heads.vector</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/input_block/index.html#module-core.models.equiformer_v2.input_block"><code class="xref">core.models.equiformer_v2.input_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/layer_norm/index.html#module-core.models.equiformer_v2.layer_norm"><code class="xref">core.models.equiformer_v2.layer_norm</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/module_list/index.html#module-core.models.equiformer_v2.module_list"><code class="xref">core.models.equiformer_v2.module_list</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/radial_function/index.html#module-core.models.equiformer_v2.radial_function"><code class="xref">core.models.equiformer_v2.radial_function</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/so2_ops/index.html#module-core.models.equiformer_v2.so2_ops"><code class="xref">core.models.equiformer_v2.so2_ops</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/so3/index.html#module-core.models.equiformer_v2.so3"><code class="xref">core.models.equiformer_v2.so3</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/trainers/index.html#module-core.models.equiformer_v2.trainers"><code class="xref">core.models.equiformer_v2.trainers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/trainers/dens_trainer/index.html#module-core.models.equiformer_v2.trainers.dens_trainer"><code class="xref">core.models.equiformer_v2.trainers.dens_trainer</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/trainers/energy_trainer/index.html#module-core.models.equiformer_v2.trainers.energy_trainer"><code class="xref">core.models.equiformer_v2.trainers.energy_trainer</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/trainers/forces_trainer/index.html#module-core.models.equiformer_v2.trainers.forces_trainer"><code class="xref">core.models.equiformer_v2.trainers.forces_trainer</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/trainers/lr_scheduler/index.html#module-core.models.equiformer_v2.trainers.lr_scheduler"><code class="xref">core.models.equiformer_v2.trainers.lr_scheduler</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/transformer_block/index.html#module-core.models.equiformer_v2.transformer_block"><code class="xref">core.models.equiformer_v2.transformer_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/weight_initialization/index.html#module-core.models.equiformer_v2.weight_initialization"><code class="xref">core.models.equiformer_v2.weight_initialization</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/equiformer_v2/wigner/index.html#module-core.models.equiformer_v2.wigner"><code class="xref">core.models.equiformer_v2.wigner</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/escn/index.html#module-core.models.escn"><code class="xref">core.models.escn</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/escn/escn/index.html#module-core.models.escn.escn"><code class="xref">core.models.escn.escn</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/escn/escn_exportable/index.html#module-core.models.escn.escn_exportable"><code class="xref">core.models.escn.escn_exportable</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/escn/so3/index.html#module-core.models.escn.so3"><code class="xref">core.models.escn.so3</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/escn/so3_exportable/index.html#module-core.models.escn.so3_exportable"><code class="xref">core.models.escn.so3_exportable</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/index.html#module-core.models.gemnet"><code class="xref">core.models.gemnet</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/gemnet/index.html#module-core.models.gemnet.gemnet"><code class="xref">core.models.gemnet.gemnet</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/initializers/index.html#module-core.models.gemnet.initializers"><code class="xref">core.models.gemnet.initializers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/layers/index.html#module-core.models.gemnet.layers"><code class="xref">core.models.gemnet.layers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/layers/atom_update_block/index.html#module-core.models.gemnet.layers.atom_update_block"><code class="xref">core.models.gemnet.layers.atom_update_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/layers/base_layers/index.html#module-core.models.gemnet.layers.base_layers"><code class="xref">core.models.gemnet.layers.base_layers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/layers/basis_utils/index.html#module-core.models.gemnet.layers.basis_utils"><code class="xref">core.models.gemnet.layers.basis_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/layers/efficient/index.html#module-core.models.gemnet.layers.efficient"><code class="xref">core.models.gemnet.layers.efficient</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/layers/embedding_block/index.html#module-core.models.gemnet.layers.embedding_block"><code class="xref">core.models.gemnet.layers.embedding_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/layers/interaction_block/index.html#module-core.models.gemnet.layers.interaction_block"><code class="xref">core.models.gemnet.layers.interaction_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/layers/radial_basis/index.html#module-core.models.gemnet.layers.radial_basis"><code class="xref">core.models.gemnet.layers.radial_basis</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/layers/spherical_basis/index.html#module-core.models.gemnet.layers.spherical_basis"><code class="xref">core.models.gemnet.layers.spherical_basis</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet/utils/index.html#module-core.models.gemnet.utils"><code class="xref">core.models.gemnet.utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/index.html#module-core.models.gemnet_gp"><code class="xref">core.models.gemnet_gp</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/gemnet/index.html#module-core.models.gemnet_gp.gemnet"><code class="xref">core.models.gemnet_gp.gemnet</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/initializers/index.html#module-core.models.gemnet_gp.initializers"><code class="xref">core.models.gemnet_gp.initializers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/layers/index.html#module-core.models.gemnet_gp.layers"><code class="xref">core.models.gemnet_gp.layers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/layers/atom_update_block/index.html#module-core.models.gemnet_gp.layers.atom_update_block"><code class="xref">core.models.gemnet_gp.layers.atom_update_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/layers/base_layers/index.html#module-core.models.gemnet_gp.layers.base_layers"><code class="xref">core.models.gemnet_gp.layers.base_layers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/layers/basis_utils/index.html#module-core.models.gemnet_gp.layers.basis_utils"><code class="xref">core.models.gemnet_gp.layers.basis_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/layers/efficient/index.html#module-core.models.gemnet_gp.layers.efficient"><code class="xref">core.models.gemnet_gp.layers.efficient</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/layers/embedding_block/index.html#module-core.models.gemnet_gp.layers.embedding_block"><code class="xref">core.models.gemnet_gp.layers.embedding_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/layers/interaction_block/index.html#module-core.models.gemnet_gp.layers.interaction_block"><code class="xref">core.models.gemnet_gp.layers.interaction_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/layers/radial_basis/index.html#module-core.models.gemnet_gp.layers.radial_basis"><code class="xref">core.models.gemnet_gp.layers.radial_basis</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/layers/spherical_basis/index.html#module-core.models.gemnet_gp.layers.spherical_basis"><code class="xref">core.models.gemnet_gp.layers.spherical_basis</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_gp/utils/index.html#module-core.models.gemnet_gp.utils"><code class="xref">core.models.gemnet_gp.utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/index.html#module-core.models.gemnet_oc"><code class="xref">core.models.gemnet_oc</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/gemnet_oc/index.html#module-core.models.gemnet_oc.gemnet_oc"><code class="xref">core.models.gemnet_oc.gemnet_oc</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/initializers/index.html#module-core.models.gemnet_oc.initializers"><code class="xref">core.models.gemnet_oc.initializers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/interaction_indices/index.html#module-core.models.gemnet_oc.interaction_indices"><code class="xref">core.models.gemnet_oc.interaction_indices</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/index.html#module-core.models.gemnet_oc.layers"><code class="xref">core.models.gemnet_oc.layers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/atom_update_block/index.html#module-core.models.gemnet_oc.layers.atom_update_block"><code class="xref">core.models.gemnet_oc.layers.atom_update_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/base_layers/index.html#module-core.models.gemnet_oc.layers.base_layers"><code class="xref">core.models.gemnet_oc.layers.base_layers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/basis_utils/index.html#module-core.models.gemnet_oc.layers.basis_utils"><code class="xref">core.models.gemnet_oc.layers.basis_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/efficient/index.html#module-core.models.gemnet_oc.layers.efficient"><code class="xref">core.models.gemnet_oc.layers.efficient</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/embedding_block/index.html#module-core.models.gemnet_oc.layers.embedding_block"><code class="xref">core.models.gemnet_oc.layers.embedding_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/force_scaler/index.html#module-core.models.gemnet_oc.layers.force_scaler"><code class="xref">core.models.gemnet_oc.layers.force_scaler</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/interaction_block/index.html#module-core.models.gemnet_oc.layers.interaction_block"><code class="xref">core.models.gemnet_oc.layers.interaction_block</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/radial_basis/index.html#module-core.models.gemnet_oc.layers.radial_basis"><code class="xref">core.models.gemnet_oc.layers.radial_basis</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/layers/spherical_basis/index.html#module-core.models.gemnet_oc.layers.spherical_basis"><code class="xref">core.models.gemnet_oc.layers.spherical_basis</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/gemnet_oc/utils/index.html#module-core.models.gemnet_oc.utils"><code class="xref">core.models.gemnet_oc.utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/model_registry/index.html#module-core.models.model_registry"><code class="xref">core.models.model_registry</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/painn/index.html#module-core.models.painn"><code class="xref">core.models.painn</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/painn/painn/index.html#module-core.models.painn.painn"><code class="xref">core.models.painn.painn</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/painn/utils/index.html#module-core.models.painn.utils"><code class="xref">core.models.painn.utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/schnet/index.html#module-core.models.schnet"><code class="xref">core.models.schnet</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/scn/index.html#module-core.models.scn"><code class="xref">core.models.scn</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/scn/sampling/index.html#module-core.models.scn.sampling"><code class="xref">core.models.scn.sampling</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/scn/scn/index.html#module-core.models.scn.scn"><code class="xref">core.models.scn.scn</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/scn/smearing/index.html#module-core.models.scn.smearing"><code class="xref">core.models.scn.smearing</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/scn/spherical_harmonics/index.html#module-core.models.scn.spherical_harmonics"><code class="xref">core.models.scn.spherical_harmonics</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/utils/index.html#module-core.models.utils"><code class="xref">core.models.utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/utils/activations/index.html#module-core.models.utils.activations"><code class="xref">core.models.utils.activations</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/models/utils/basis/index.html#module-core.models.utils.basis"><code class="xref">core.models.utils.basis</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/index.html#module-core.modules"><code class="xref">core.modules</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/evaluator/index.html#module-core.modules.evaluator"><code class="xref">core.modules.evaluator</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/exponential_moving_average/index.html#module-core.modules.exponential_moving_average"><code class="xref">core.modules.exponential_moving_average</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/loss/index.html#module-core.modules.loss"><code class="xref">core.modules.loss</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/normalization/index.html#module-core.modules.normalization"><code class="xref">core.modules.normalization</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/normalization/_load_utils/index.html#module-core.modules.normalization._load_utils"><code class="xref">core.modules.normalization._load_utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/normalization/element_references/index.html#module-core.modules.normalization.element_references"><code class="xref">core.modules.normalization.element_references</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/normalization/normalizer/index.html#module-core.modules.normalization.normalizer"><code class="xref">core.modules.normalization.normalizer</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/scaling/index.html#module-core.modules.scaling"><code class="xref">core.modules.scaling</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/scaling/compat/index.html#module-core.modules.scaling.compat"><code class="xref">core.modules.scaling.compat</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/scaling/fit/index.html#module-core.modules.scaling.fit"><code class="xref">core.modules.scaling.fit</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/scaling/scale_factor/index.html#module-core.modules.scaling.scale_factor"><code class="xref">core.modules.scaling.scale_factor</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/scaling/util/index.html#module-core.modules.scaling.util"><code class="xref">core.modules.scaling.util</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/scheduler/index.html#module-core.modules.scheduler"><code class="xref">core.modules.scheduler</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/modules/transforms/index.html#module-core.modules.transforms"><code class="xref">core.modules.transforms</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/preprocessing/index.html#module-core.preprocessing"><code class="xref">core.preprocessing</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/preprocessing/atoms_to_graphs/index.html#module-core.preprocessing.atoms_to_graphs"><code class="xref">core.preprocessing.atoms_to_graphs</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/index.html#module-core.scripts"><code class="xref">core.scripts</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/convert_hydra_to_release/index.html#module-core.scripts.convert_hydra_to_release"><code class="xref">core.scripts.convert_hydra_to_release</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/download_data/index.html#module-core.scripts.download_data"><code class="xref">core.scripts.download_data</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/download_large_files/index.html#module-core.scripts.download_large_files"><code class="xref">core.scripts.download_large_files</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/eqv2_to_hydra_eqv2/index.html#module-core.scripts.eqv2_to_hydra_eqv2"><code class="xref">core.scripts.eqv2_to_hydra_eqv2</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/fit_normalizers/index.html#module-core.scripts.fit_normalizers"><code class="xref">core.scripts.fit_normalizers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/fit_references/index.html#module-core.scripts.fit_references"><code class="xref">core.scripts.fit_references</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/gif_maker_parallelized/index.html#module-core.scripts.gif_maker_parallelized"><code class="xref">core.scripts.gif_maker_parallelized</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/hpo/index.html#module-core.scripts.hpo"><code class="xref">core.scripts.hpo</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/hpo/run_tune/index.html#module-core.scripts.hpo.run_tune"><code class="xref">core.scripts.hpo.run_tune</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/hpo/run_tune_pbt/index.html#module-core.scripts.hpo.run_tune_pbt"><code class="xref">core.scripts.hpo.run_tune_pbt</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/make_challenge_submission_file/index.html#module-core.scripts.make_challenge_submission_file"><code class="xref">core.scripts.make_challenge_submission_file</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/make_lmdb_sizes/index.html#module-core.scripts.make_lmdb_sizes"><code class="xref">core.scripts.make_lmdb_sizes</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/make_submission_file/index.html#module-core.scripts.make_submission_file"><code class="xref">core.scripts.make_submission_file</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/preprocess_ef/index.html#module-core.scripts.preprocess_ef"><code class="xref">core.scripts.preprocess_ef</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/preprocess_relaxed/index.html#module-core.scripts.preprocess_relaxed"><code class="xref">core.scripts.preprocess_relaxed</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/scripts/uncompress/index.html#module-core.scripts.uncompress"><code class="xref">core.scripts.uncompress</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/tasks/index.html#module-core.tasks"><code class="xref">core.tasks</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/tasks/task/index.html#module-core.tasks.task"><code class="xref">core.tasks.task</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/trainers/index.html#module-core.trainers"><code class="xref">core.trainers</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/trainers/base_trainer/index.html#module-core.trainers.base_trainer"><code class="xref">core.trainers.base_trainer</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-3">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/core/trainers/ocp_trainer/index.html#module-core.trainers.ocp_trainer"><code class="xref">core.trainers.ocp_trainer</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="pcap"><td></td><td>&#160;</td><td></td></tr>
+     <tr class="cap" id="cap-d"><td></td><td>
+       <strong>d</strong></td><td></td></tr>
+     <tr>
+       <td><img src="_static/minus.png" class="toggler"
+              id="toggle-4" style="display: none" alt="-" /></td>
+       <td>
+       <a href="autoapi/data/index.html#module-data"><code class="xref">data</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/index.html#module-data.oc"><code class="xref">data.oc</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/core/index.html#module-data.oc.core"><code class="xref">data.oc.core</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/core/adsorbate/index.html#module-data.oc.core.adsorbate"><code class="xref">data.oc.core.adsorbate</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/core/adsorbate_slab_config/index.html#module-data.oc.core.adsorbate_slab_config"><code class="xref">data.oc.core.adsorbate_slab_config</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/core/bulk/index.html#module-data.oc.core.bulk"><code class="xref">data.oc.core.bulk</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/core/interface_config/index.html#module-data.oc.core.interface_config"><code class="xref">data.oc.core.interface_config</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/core/ion/index.html#module-data.oc.core.ion"><code class="xref">data.oc.core.ion</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/core/multi_adsorbate_slab_config/index.html#module-data.oc.core.multi_adsorbate_slab_config"><code class="xref">data.oc.core.multi_adsorbate_slab_config</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/core/slab/index.html#module-data.oc.core.slab"><code class="xref">data.oc.core.slab</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/core/solvent/index.html#module-data.oc.core.solvent"><code class="xref">data.oc.core.solvent</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/databases/index.html#module-data.oc.databases"><code class="xref">data.oc.databases</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/databases/pkls/index.html#module-data.oc.databases.pkls"><code class="xref">data.oc.databases.pkls</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/databases/update/index.html#module-data.oc.databases.update"><code class="xref">data.oc.databases.update</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/experimental/get_energies/index.html#module-data.oc.experimental.get_energies"><code class="xref">data.oc.experimental.get_energies</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/experimental/merge_traj/index.html#module-data.oc.experimental.merge_traj"><code class="xref">data.oc.experimental.merge_traj</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/experimental/perturb_systems/index.html#module-data.oc.experimental.perturb_systems"><code class="xref">data.oc.experimental.perturb_systems</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/experimental/rattle_test/index.html#module-data.oc.experimental.rattle_test"><code class="xref">data.oc.experimental.rattle_test</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/experimental/utils/index.html#module-data.oc.experimental.utils"><code class="xref">data.oc.experimental.utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/scripts/precompute_sample_structures/index.html#module-data.oc.scripts.precompute_sample_structures"><code class="xref">data.oc.scripts.precompute_sample_structures</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/structure_generator/index.html#module-data.oc.structure_generator"><code class="xref">data.oc.structure_generator</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/utils/index.html#module-data.oc.utils"><code class="xref">data.oc.utils</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/utils/flag_anomaly/index.html#module-data.oc.utils.flag_anomaly"><code class="xref">data.oc.utils.flag_anomaly</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/utils/geometry/index.html#module-data.oc.utils.geometry"><code class="xref">data.oc.utils.geometry</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/utils/vasp/index.html#module-data.oc.utils.vasp"><code class="xref">data.oc.utils.vasp</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/oc/utils/vasp_flags/index.html#module-data.oc.utils.vasp_flags"><code class="xref">data.oc.utils.vasp_flags</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/odac/index.html#module-data.odac"><code class="xref">data.odac</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/odac/force_field/FF_analysis/index.html#module-data.odac.force_field.FF_analysis"><code class="xref">data.odac.force_field.FF_analysis</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/odac/promising_mof/promising_mof_energies/energy/index.html#module-data.odac.promising_mof.promising_mof_energies.energy"><code class="xref">data.odac.promising_mof.promising_mof_energies.energy</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/odac/setup_vasp/index.html#module-data.odac.setup_vasp"><code class="xref">data.odac.setup_vasp</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/om/index.html#module-data.om"><code class="xref">data.om</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/om/biomolecules/geom/sample_geom_drugs/index.html#module-data.om.biomolecules.geom.sample_geom_drugs"><code class="xref">data.om.biomolecules.geom.sample_geom_drugs</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/om/biomolecules/geom/write_geom_drugs_structures/index.html#module-data.om.biomolecules.geom.write_geom_drugs_structures"><code class="xref">data.om.biomolecules.geom.write_geom_drugs_structures</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="autoapi/data/om/omdata/orca/index.html#module-data.om.omdata.orca"><code class="xref">data.om.omdata.orca</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-4">
+       <td></td>
+       <td>&#160;&#160;&#160;
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+       <em></em></td></tr>
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+       <td>&#160;&#160;&#160;
+       <a href="autoapi/ocpapi/workflows/context/index.html#module-ocpapi.workflows.context"><code class="xref">ocpapi.workflows.context</code></a></td><td>
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+       <em></em></td></tr>
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+       <td>&#160;&#160;&#160;
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+<li class="toctree-l1 has-children"><a class="reference internal" href="tutorials/advanced/advanced_toc.html">Advanced OCP usage</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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diff --git a/searchindex.js b/searchindex.js
new file mode 100644
index 0000000000..03a09dad84
--- /dev/null
+++ b/searchindex.js
@@ -0,0 +1 @@
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diff --git a/tutorials/NRR/NRR_example.html b/tutorials/NRR/NRR_example.html
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Using OCP to enumerate adsorbates on alloy catalyst surfaces</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Using OCP to enumerate adsorbates on alloy catalyst surfaces</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#introduction">Introduction</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on">Enumerate the adsorbate-slab configurations to run relaxations on</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#work-out-a-single-example">Work out a single example</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#run-an-ml-relaxation">Run an ML relaxation</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#run-all-the-systems">Run all the systems</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#parse-the-trajectories-and-post-process">Parse the trajectories and post-process</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#make-parity-plots-for-values-obtained-by-ml-v-reported-in-the-paper">Make parity plots for values obtained by ML v. reported in the paper</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#make-figure-6b-and-compare-to-literature-results">Make figure 6b and compare to literature results</a></li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="using-ocp-to-enumerate-adsorbates-on-alloy-catalyst-surfaces">
+<h1>Using OCP to enumerate adsorbates on alloy catalyst surfaces<a class="headerlink" href="#using-ocp-to-enumerate-adsorbates-on-alloy-catalyst-surfaces" title="Link to this heading">#</a></h1>
+<p>In the previous example, we constructed slab models of adsorbates on desired sites. Here we leverage code to automate this process. The goal in this section is to generate candidate structures, compute energetics, and then filter out the most relevant ones.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">ase.io</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">sys</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">scipy.stats</span><span class="w"> </span><span class="kn">import</span> <span class="n">linregress</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">pickle</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.data.oc.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">Adsorbate</span><span class="p">,</span> <span class="n">AdsorbateSlabConfig</span><span class="p">,</span> <span class="n">Bulk</span><span class="p">,</span> <span class="n">Slab</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">glob</span><span class="w"> </span><span class="kn">import</span> <span class="n">glob</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.data.oc.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">DetectTrajAnomaly</span>
+
+<span class="c1"># Set random seed to ensure adsorbate enumeration yields a valid candidate</span>
+<span class="c1"># If using a larger number of random samples this wouldn&#39;t be necessary</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">22</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+<span class="n">checkpoint_path</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/fairchem_checkpoints/eq2_31M_ec4_allmd.pt&#39;
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="introduction">
+<h1>Introduction<a class="headerlink" href="#introduction" title="Link to this heading">#</a></h1>
+<p>We will reproduce Fig 6b from the following paper: Zhou, Jing, et al. “Enhanced Catalytic Activity of Bimetallic Ordered Catalysts for Nitrogen Reduction Reaction by Perturbation of Scaling Relations.” ACS Catalysis 134 (2023): 2190-2201 (https://doi.org/10.1021/acscatal.2c05877).</p>
+<p>The gist of this figure is a correlation between H* and NNH* adsorbates across many different alloy surfaces. Then, they identify a dividing line between these that separates surfaces known for HER and those known for NRR.</p>
+<p>To do this, we will enumerate adsorbate-slab configurations and run ML relaxations on them to find the lowest energy configuration. We will assess parity between the model predicted values and those reported in the paper. Finally we will make the figure and assess separability of the NRR favored and HER favored domains.</p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on">
+<h1>Enumerate the adsorbate-slab configurations to run relaxations on<a class="headerlink" href="#enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on" title="Link to this heading">#</a></h1>
+<p>Be sure to set the path in <code class="docutils literal notranslate"><span class="pre">fairchem/data/oc/configs/paths.py</span></code> to point to the correct place or pass the paths as an argument. The database pickles can be found in <code class="docutils literal notranslate"><span class="pre">fairchem/data/oc/databases/pkls</span></code> (some pkl files are only downloaded by running the command <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">src/fairchem/core/scripts/download_large_files.py</span> <span class="pre">oc</span></code> from the root of the fairchem repo). We will show one explicitly here as an example and then run all of them in an automated fashion for brevity.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">fairchem.data.oc</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">pathlib</span><span class="w"> </span><span class="kn">import</span> <span class="n">Path</span>
+<span class="n">db</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">fairchem</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">oc</span><span class="o">.</span><span class="vm">__file__</span><span class="p">)</span><span class="o">.</span><span class="n">parent</span> <span class="o">/</span> <span class="n">Path</span><span class="p">(</span><span class="s1">&#39;databases/pkls/adsorbates.pkl&#39;</span><span class="p">)</span>
+<span class="n">db</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>PosixPath(&#39;/home/runner/work/fairchem/fairchem/src/fairchem/data/oc/databases/pkls/adsorbates.pkl&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<section id="work-out-a-single-example">
+<h2>Work out a single example<a class="headerlink" href="#work-out-a-single-example" title="Link to this heading">#</a></h2>
+<p>We load one bulk id, create a bulk reference structure from it, then generate the surfaces we want to compute.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">bulk_src_id</span> <span class="o">=</span> <span class="s2">&quot;oqmd-343039&quot;</span>
+<span class="n">adsorbate_smiles_nnh</span> <span class="o">=</span> <span class="s2">&quot;*N*NH&quot;</span>
+<span class="n">adsorbate_smiles_h</span> <span class="o">=</span> <span class="s2">&quot;*H&quot;</span>
+
+<span class="n">bulk</span> <span class="o">=</span> <span class="n">Bulk</span><span class="p">(</span><span class="n">bulk_src_id_from_db</span> <span class="o">=</span> <span class="n">bulk_src_id</span><span class="p">,</span> <span class="n">bulk_db_path</span><span class="o">=</span><span class="s2">&quot;NRR_example_bulks.pkl&quot;</span><span class="p">)</span>
+<span class="n">adsorbate_H</span> <span class="o">=</span> <span class="n">Adsorbate</span><span class="p">(</span><span class="n">adsorbate_smiles_from_db</span> <span class="o">=</span> <span class="n">adsorbate_smiles_h</span><span class="p">,</span> <span class="n">adsorbate_db_path</span><span class="o">=</span><span class="n">db</span><span class="p">)</span>
+<span class="n">adsorbate_NNH</span> <span class="o">=</span> <span class="n">Adsorbate</span><span class="p">(</span><span class="n">adsorbate_smiles_from_db</span> <span class="o">=</span> <span class="n">adsorbate_smiles_nnh</span><span class="p">,</span> <span class="n">adsorbate_db_path</span><span class="o">=</span><span class="n">db</span><span class="p">)</span>
+<span class="n">slab</span> <span class="o">=</span> <span class="n">Slab</span><span class="o">.</span><span class="n">from_bulk_get_specific_millers</span><span class="p">(</span><span class="n">bulk</span><span class="o">=</span> <span class="n">bulk</span><span class="p">,</span> <span class="n">specific_millers</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+<span class="n">slab</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[Slab: (Ag36Pd12, (1, 1, 1), 0.16666666666666669, True)]
+</pre></div>
+</div>
+</div>
+</div>
+<p>We now need to generate potential placements. We use two kinds of guesses, a heuristic and a random approach. This cell generates 13 potential adsorption geometries.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Perform heuristic placements</span>
+<span class="n">heuristic_adslabs</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slab</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate_H</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;heuristic&quot;</span><span class="p">)</span>
+
+<span class="c1"># Perform random placements</span>
+<span class="c1"># (for AdsorbML we use `num_sites = 100` but we will use 4 for brevity here)</span>
+<span class="n">random_adslabs</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slab</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate_H</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;random_site_heuristic_placement&quot;</span><span class="p">,</span> <span class="n">num_sites</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+
+<span class="n">adslabs</span> <span class="o">=</span> <span class="p">[</span><span class="o">*</span><span class="n">heuristic_adslabs</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">,</span> <span class="o">*</span><span class="n">random_adslabs</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">]</span>
+<span class="nb">len</span><span class="p">(</span><span class="n">adslabs</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>13
+</pre></div>
+</div>
+</div>
+</div>
+<p>Let’s see what we are looking at. It is a little tricky to see the tiny H atom in these figures, but with some inspection you can see there are ontop, bridge, and hollow sites in different places. This is not an exhaustive search; you can increase the number of random placements to check more possibilities. The main idea here is to <em>increase</em> the probability you find the most relevant sites.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.visualize.plot</span><span class="w"> </span><span class="kn">import</span> <span class="n">plot_atoms</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
+
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">slab</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">adslabs</span><span class="p">):</span>
+    <span class="n">plot_atoms</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="n">axs</span><span class="p">[</span><span class="n">i</span> <span class="o">%</span> <span class="mi">4</span><span class="p">,</span> <span class="n">i</span> <span class="o">//</span> <span class="mi">4</span><span class="p">]);</span>
+    <span class="n">axs</span><span class="p">[</span><span class="n">i</span> <span class="o">%</span> <span class="mi">4</span><span class="p">,</span> <span class="n">i</span> <span class="o">//</span> <span class="mi">4</span><span class="p">]</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
+    
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">16</span><span class="p">):</span>
+    <span class="n">axs</span><span class="p">[</span><span class="n">i</span> <span class="o">%</span> <span class="mi">4</span><span class="p">,</span> <span class="n">i</span> <span class="o">//</span> <span class="mi">4</span><span class="p">]</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>   
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../../_images/20c4703a47c953fce92e6607879fc59262f786b5a11b836d3194774757a63c70.png" src="../../_images/20c4703a47c953fce92e6607879fc59262f786b5a11b836d3194774757a63c70.png" />
+</div>
+</div>
+<section id="run-an-ml-relaxation">
+<h3>Run an ML relaxation<a class="headerlink" href="#run-an-ml-relaxation" title="Link to this heading">#</a></h3>
+<p>We will use an ASE compatible calculator to run these.</p>
+<p>Running the model with BFGS prints at each relaxation step which is a lot to print. So we will just run one to demonstrate what happens on each iteration.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="n">adsorbate_smiles_h</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Define the calculator</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>   <span class="c1"># if you have a GPU</span>
+<span class="c1"># calc = OCPCalculator(checkpoint_path=checkpoint_path, cpu=True)  # If you have CPU only</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/tutorials/NRR/checkpoints/2025-01-21-19-52-32
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/tutorials/NRR/logs/wandb/2025-01-21-19-52-32
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/tutorials/NRR/results/2025-01-21-19-52-32
+  seed: null
+  timestamp_id: 2025-01-21-19-52-32
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb_v2
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 4
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  alpha_drop: 0.1
+  attn_activation: silu
+  attn_alpha_channels: 64
+  attn_hidden_channels: 64
+  attn_value_channels: 16
+  distance_function: gaussian
+  drop_path_rate: 0.1
+  edge_channels: 128
+  ffn_activation: silu
+  ffn_hidden_channels: 128
+  grid_resolution: 18
+  lmax_list:
+  - 4
+  max_neighbors: 20
+  max_num_elements: 90
+  max_radius: 12.0
+  mmax_list:
+  - 2
+  name: equiformer_v2
+  norm_type: layer_norm_sh
+  num_distance_basis: 512
+  num_heads: 8
+  num_layers: 8
+  num_sphere_samples: 128
+  otf_graph: true
+  proj_drop: 0.0
+  regress_forces: true
+  sphere_channels: 128
+  use_atom_edge_embedding: true
+  use_gate_act: false
+  use_grid_mlp: true
+  use_pbc: true
+  use_s2_act_attn: false
+  weight_init: uniform
+optim:
+  batch_size: 8
+  clip_grad_norm: 100
+  ema_decay: 0.999
+  energy_coefficient: 4
+  eval_batch_size: 8
+  eval_every: 10000
+  force_coefficient: 100
+  grad_accumulation_steps: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0004
+  max_epochs: 3
+  num_workers: 8
+  optimizer: AdamW
+  optimizer_params:
+    weight_decay: 0.001
+  scheduler: LambdaLR
+  scheduler_params:
+    epochs: 1009275
+    lambda_type: cosine
+    lr: 0.0004
+    lr_min_factor: 0.01
+    warmup_epochs: 3364.25
+    warmup_factor: 0.2
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 9
+  folder: /checkpoint/abhshkdz/open-catalyst-project/logs/equiformer_v2/8307793
+  gpus_per_node: 8
+  job_id: &#39;8307793&#39;
+  job_name: eq2s_051701_allmd
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: learnaccel
+  time: 4320
+task:
+  dataset: trajectory_lmdb_v2
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: equiformer_v2
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:equiformer_v2 (EquiformerV2) class is deprecated in favor of equiformer_v2_backbone_and_heads  (EquiformerV2BackboneAndHeads)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded EquiformerV2 with 31058690 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
+</div>
+<p>Now we setup and run the relaxation.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_H&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">adslab</span> <span class="o">=</span> <span class="n">adslabs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">adslab</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+<span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_H/test.traj&quot;</span><span class="p">)</span>
+<span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Elapsed time </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 19:53:24        0.193125        0.716219
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 19:53:26        0.175034        0.673152
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 19:53:27        0.059609        0.388686
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 19:53:29        0.056407        0.223208
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 19:53:30        0.052642        0.171622
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 19:53:32        0.043569        0.134684
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 19:53:33        0.041664        0.118766
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 19:53:35        0.041300        0.080832
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 19:53:36        0.040333        0.065348
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 19:53:38        0.034360        0.081549
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 19:53:39        0.031856        0.078439
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 19:53:41        0.029978        0.070748
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 19:53:42        0.027738        0.059903
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 19:53:44        0.024113        0.037790
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 21.5 seconds
+</pre></div>
+</div>
+</div>
+</div>
+<p>With a GPU this runs pretty quickly. It is much slower on a CPU.</p>
+</section>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="run-all-the-systems">
+<h1>Run all the systems<a class="headerlink" href="#run-all-the-systems" title="Link to this heading">#</a></h1>
+<p>In principle you can run all the systems now. It takes about an hour though, and we leave that for a later exercise if you want. For now we will run the first two, and for later analysis we provide a results file of all the runs. Let’s read in our reference file and take a look at what is in it.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s2">&quot;NRR_example_bulks.pkl&quot;</span><span class="p">,</span> <span class="s2">&quot;rb&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">bulks</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+    
+<span class="n">bulks</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[{&#39;atoms&#39;: Atoms(symbols=&#39;CuPd3&#39;, pbc=True, cell=[3.91276645, 3.91276645, 3.91276645], calculator=SinglePointDFTCalculator(...)),
+  &#39;src_id&#39;: &#39;oqmd-349719&#39;},
+ {&#39;atoms&#39;: Atoms(symbols=&#39;Pd3Ag&#39;, pbc=True, cell=[4.02885979, 4.02885979, 4.02885979], calculator=SinglePointDFTCalculator(...)),
+  &#39;src_id&#39;: &#39;oqmd-345911&#39;},
+ {&#39;atoms&#39;: Atoms(symbols=&#39;ScPd3&#39;, pbc=True, cell=[4.04684963, 4.04684963, 4.04684963], initial_charges=..., initial_magmoms=..., momenta=..., tags=..., calculator=SinglePointCalculator(...)),
+  &#39;src_id&#39;: &#39;mp-2677&#39;},
+ {&#39;atoms&#39;: Atoms(symbols=&#39;Mo3Pd&#39;, pbc=True, cell=[3.96898192, 3.96898192, 3.96898192], initial_charges=..., initial_magmoms=..., momenta=..., tags=..., calculator=SinglePointCalculator(...)),
+  &#39;src_id&#39;: &#39;mp-1186014&#39;},
+ {&#39;atoms&#39;: Atoms(symbols=&#39;Ag3Pd&#39;, pbc=True, cell=[4.14093081, 4.14093081, 4.14093081], calculator=SinglePointCalculator(...)),
+  &#39;src_id&#39;: &#39;oqmd-343039&#39;},
+ {&#39;src_id&#39;: &#39;oqmd-348629&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;Ag3Cu&#39;, pbc=True, cell=[4.09439099, 4.09439099, 4.09439099], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-343006&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;Ag3Mo&#39;, pbc=True, cell=[4.1665424, 4.1665424, 4.1665424], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-349813&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;AgCu3&#39;, pbc=True, cell=[3.82618693, 3.82618693, 3.82618693], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-347528&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;Cu3Ru&#39;, pbc=True, cell=[3.72399424, 3.72399424, 3.72399424], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-344251&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;PdTa3&#39;, pbc=True, cell=[4.13568646, 4.13568646, 4.13568646], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-343394&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;AgMo3&#39;, pbc=True, cell=[4.00594441, 4.00594441, 4.00594441], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-344635&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;Mo3Ru&#39;, pbc=True, cell=[3.95617571, 3.95617571, 3.95617571], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-344237&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;MoPd3&#39;, pbc=True, cell=[3.96059535, 3.96059535, 3.96059535], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-346818&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;Pd3Ru&#39;, pbc=True, cell=[3.93112559, 3.93112559, 3.93112559], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-349496&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;Pd3Ta&#39;, pbc=True, cell=[3.9907085, 3.9907085, 3.9907085], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-343615&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;MoRu3&#39;, pbc=True, cell=[3.85915122, 3.85915122, 3.85915122], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-348366&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;AgTa3&#39;, pbc=True, cell=[4.1730103, 4.1730103, 4.1730103], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-345352&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;AuHf3&#39;, pbc=True, cell=[4.36653536, 4.36653536, 4.36653536], calculator=SinglePointDFTCalculator(...))},
+ {&#39;src_id&#39;: &#39;oqmd-346653&#39;,
+  &#39;atoms&#39;: Atoms(symbols=&#39;AgHf3&#39;, pbc=True, cell=[4.39618436, 4.39618436, 4.39618436], calculator=SinglePointDFTCalculator(...))}]
+</pre></div>
+</div>
+</div>
+</div>
+<p>We have 19 bulk materials we will consider. Next we extract the <code class="docutils literal notranslate"><span class="pre">src-id</span></code> for each one.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">bulk_ids</span> <span class="o">=</span> <span class="p">[</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;src_id&#39;</span><span class="p">]</span> <span class="k">for</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">bulks</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>In theory you would run all of these, but it takes about an hour with a GPU. We provide the relaxation logs and trajectories in the repo for the next step.</p>
+<p>These steps are embarrassingly parallel, and can be launched that way to speed things up. The only thing you need to watch is that you don’t exceed the available RAM, which will cause the Jupyter kernel to crash.</p>
+<p>The goal here is to relax each candidate adsorption geometry and save the results in a trajectory file we will analyze later. Each trajectory file will have the geometry and final energy of the relaxed structure.</p>
+<p>It is somewhat time consuming to run this, so in this cell we only run one example, and just the first 4 configurations for each adsorbate.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">tqdm</span><span class="w"> </span><span class="kn">import</span> <span class="n">tqdm</span>
+<span class="n">tinit</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+
+<span class="c1"># Note we&#39;re just doing the first bulk_id! </span>
+<span class="k">for</span> <span class="n">bulk_src_id</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">bulk_ids</span><span class="p">[:</span><span class="mi">1</span><span class="p">]):</span> 
+    <span class="c1"># Enumerate slabs and establish adsorbates</span>
+    <span class="n">bulk</span> <span class="o">=</span> <span class="n">Bulk</span><span class="p">(</span><span class="n">bulk_src_id_from_db</span><span class="o">=</span><span class="n">bulk_src_id</span><span class="p">,</span> <span class="n">bulk_db_path</span><span class="o">=</span><span class="s2">&quot;NRR_example_bulks.pkl&quot;</span><span class="p">)</span>
+    <span class="n">slab</span> <span class="o">=</span> <span class="n">Slab</span><span class="o">.</span><span class="n">from_bulk_get_specific_millers</span><span class="p">(</span><span class="n">bulk</span><span class="o">=</span> <span class="n">bulk</span><span class="p">,</span> <span class="n">specific_millers</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+
+    <span class="c1"># Perform heuristic placements</span>
+    <span class="n">heuristic_adslabs_H</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slab</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate_H</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;heuristic&quot;</span><span class="p">)</span>
+    <span class="n">heuristic_adslabs_NNH</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slab</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate_NNH</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;heuristic&quot;</span><span class="p">)</span>
+
+    <span class="c1">#Run relaxations</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_H&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_NNH&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">heuristic_adslabs_H</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">)</span><span class="si">}</span><span class="s1"> H slabs to compute for </span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">heuristic_adslabs_NNH</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">)</span><span class="si">}</span><span class="s1"> NNH slabs to compute for </span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+    <span class="c1"># Set up the calculator, note we&#39;re doing just the first 4 configs to keep this fast for the online documentation!</span>
+    <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">adslab</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">heuristic_adslabs_H</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">[:</span><span class="mi">4</span><span class="p">]):</span>
+        <span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+        <span class="n">adslab</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Running data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">_H/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_H/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.traj&quot;</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_H/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.log&quot;</span><span class="p">)</span>
+        <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span>
+        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;  Elapsed time: </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds for data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">_H/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        
+    <span class="c1"># Set up the calculator, note we&#39;re doing just the first 4 configs to keep this fast for the online documentation!</span>
+    <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">adslab</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">heuristic_adslabs_NNH</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">[:</span><span class="mi">4</span><span class="p">]):</span>
+        <span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+        <span class="n">adslab</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Running data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">_NNH/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_NNH/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.traj&quot;</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_NNH/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.log&quot;</span><span class="p">)</span>
+        <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span>
+        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;  Elapsed time: </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds for data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">_NNH/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Elapsed time: </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">tinit</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>9 H slabs to compute for oqmd-349719
+9 NNH slabs to compute for oqmd-349719
+Running data/oqmd-349719_H/0
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 28.8 seconds for data/oqmd-349719_H/0
+Running data/oqmd-349719_H/1
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 43.0 seconds for data/oqmd-349719_H/1
+Running data/oqmd-349719_H/2
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 20.2 seconds for data/oqmd-349719_H/2
+Running data/oqmd-349719_H/3
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 59.4 seconds for data/oqmd-349719_H/3
+Running data/oqmd-349719_NNH/0
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 145.5 seconds for data/oqmd-349719_NNH/0
+Running data/oqmd-349719_NNH/1
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 147.1 seconds for data/oqmd-349719_NNH/1
+Running data/oqmd-349719_NNH/2
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 149.1 seconds for data/oqmd-349719_NNH/2
+Running data/oqmd-349719_NNH/3
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [12:21&lt;00:00, 741.60s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [12:21&lt;00:00, 741.60s/it]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 147.3 seconds for data/oqmd-349719_NNH/3
+Elapsed time: 741.6 seconds
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>This cell runs all the examples. I don’t recommend you run this during the workshop. Instead, we have saved the results for the subsequent analyses so you can skip this one.</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">tqdm</span><span class="w"> </span><span class="kn">import</span> <span class="n">tqdm</span>
+<span class="n">tinit</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+
+<span class="k">for</span> <span class="n">bulk_src_id</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">bulk_ids</span><span class="p">):</span> 
+    <span class="c1"># Enumerate slabs and establish adsorbates</span>
+    <span class="n">bulk</span> <span class="o">=</span> <span class="n">Bulk</span><span class="p">(</span><span class="n">bulk_src_id_from_db</span><span class="o">=</span><span class="n">bulk_src_id</span><span class="p">,</span> <span class="n">bulk_db_path</span><span class="o">=</span><span class="s2">&quot;NRR_example_bulks.pkl&quot;</span><span class="p">)</span>
+    <span class="n">slab</span> <span class="o">=</span> <span class="n">Slab</span><span class="o">.</span><span class="n">from_bulk_get_specific_millers</span><span class="p">(</span><span class="n">bulk</span><span class="o">=</span> <span class="n">bulk</span><span class="p">,</span> <span class="n">specific_millers</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+
+    <span class="c1"># Perform heuristic placements</span>
+    <span class="n">heuristic_adslabs_H</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slab</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate_H</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;heuristic&quot;</span><span class="p">)</span>
+    <span class="n">heuristic_adslabs_NNH</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slab</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate_NNH</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;heuristic&quot;</span><span class="p">)</span>
+
+    <span class="c1">#Run relaxations</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_H&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_NNH&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">heuristic_adslabs_H</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">)</span><span class="si">}</span><span class="s1"> H slabs to compute for </span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">heuristic_adslabs_NNH</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">)</span><span class="si">}</span><span class="s1"> NNH slabs to compute for </span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+    <span class="c1"># Set up the calculator</span>
+    <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">adslab</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">heuristic_adslabs_H</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">):</span>
+        <span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+        <span class="n">adslab</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Running data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">_H/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_H/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.traj&quot;</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_H/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.log&quot;</span><span class="p">)</span>
+        <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span>
+        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;  Elapsed time: </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds for data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">_H/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        
+    <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">adslab</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">heuristic_adslabs_NNH</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">):</span>
+        <span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+        <span class="n">adslab</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Running data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">_NNH/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_NNH/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.traj&quot;</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s2">_NNH/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.log&quot;</span><span class="p">)</span>
+        <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span>
+        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;  Elapsed time: </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds for data/</span><span class="si">{</span><span class="n">bulk_src_id</span><span class="si">}</span><span class="s1">_NNH/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Elapsed time: </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">tinit</span><span class="si">:</span><span class="s1">1.1f</span><span class="si">}</span><span class="s1"> seconds&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="parse-the-trajectories-and-post-process">
+<h1>Parse the trajectories and post-process<a class="headerlink" href="#parse-the-trajectories-and-post-process" title="Link to this heading">#</a></h1>
+<p>As a post-processing step we check to see if:</p>
+<ol class="arabic simple">
+<li><p>the adsorbate desorbed</p></li>
+<li><p>the adsorbate disassociated</p></li>
+<li><p>the adsorbate intercalated</p></li>
+<li><p>the surface has changed</p></li>
+</ol>
+<p>We check these because they affect our referencing scheme and may result in energies that don’t mean what we think, e.g. they aren’t just adsorption, but include contributions from other things like desorption, dissociation or reconstruction. For (4), the relaxed surface should really be supplied as well. It will be necessary when correcting the SP / RX energies later. Since we don’t have it here, we will ommit supplying it, and the detector will instead compare the initial and final slab from the adsorbate-slab relaxation trajectory. If a relaxed slab is provided, the detector will compare it and the slab after the adsorbate-slab relaxation. The latter is more correct!</p>
+<p>In this loop we find the most stable (most negative) adsorption energy for each adsorbate on each surface and save them in a DataFrame.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Iterate over trajs to extract results</span>
+<span class="n">min_E</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">file_outer</span> <span class="ow">in</span> <span class="n">glob</span><span class="p">(</span><span class="s2">&quot;data/*&quot;</span><span class="p">):</span>
+    <span class="n">ads</span> <span class="o">=</span> <span class="n">file_outer</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;_&quot;</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">bulk</span> <span class="o">=</span> <span class="n">file_outer</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;/&quot;</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;_&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">glob</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">file_outer</span><span class="si">}</span><span class="s2">/*.traj&quot;</span><span class="p">):</span>
+        <span class="n">rx_id</span> <span class="o">=</span> <span class="n">file</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;/&quot;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;.&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="n">traj</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+
+        <span class="c1"># Check to see if the trajectory is anomolous</span>
+        <span class="n">detector</span> <span class="o">=</span> <span class="n">DetectTrajAnomaly</span><span class="p">(</span><span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">get_tags</span><span class="p">())</span>
+        <span class="n">anom</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">detector</span><span class="o">.</span><span class="n">is_adsorbate_dissociated</span><span class="p">()</span>
+            <span class="ow">or</span> <span class="n">detector</span><span class="o">.</span><span class="n">is_adsorbate_desorbed</span><span class="p">()</span>
+            <span class="ow">or</span> <span class="n">detector</span><span class="o">.</span><span class="n">has_surface_changed</span><span class="p">()</span>
+            <span class="ow">or</span> <span class="n">detector</span><span class="o">.</span><span class="n">is_adsorbate_intercalated</span><span class="p">()</span>
+        <span class="p">)</span>
+        <span class="n">rx_energy</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+        <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">({</span><span class="s2">&quot;relaxation_idx&quot;</span><span class="p">:</span> <span class="n">rx_id</span><span class="p">,</span> <span class="s2">&quot;relaxed_atoms&quot;</span><span class="p">:</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+                        <span class="s2">&quot;relaxed_energy_ml&quot;</span><span class="p">:</span> <span class="n">rx_energy</span><span class="p">,</span> <span class="s2">&quot;anomolous&quot;</span><span class="p">:</span> <span class="n">anom</span><span class="p">})</span>
+    <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">results</span><span class="p">)</span>
+
+    <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="o">~</span><span class="n">df</span><span class="o">.</span><span class="n">anomolous</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
+    <span class="n">min_e</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">relaxed_energy_ml</span><span class="o">.</span><span class="n">tolist</span><span class="p">())</span>
+    <span class="n">min_E</span><span class="o">.</span><span class="n">append</span><span class="p">({</span><span class="s2">&quot;adsorbate&quot;</span><span class="p">:</span><span class="n">ads</span><span class="p">,</span> <span class="s2">&quot;bulk_id&quot;</span><span class="p">:</span><span class="n">bulk</span><span class="p">,</span> <span class="s2">&quot;min_E_ml&quot;</span><span class="p">:</span> <span class="n">min_e</span><span class="p">})</span>
+
+<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">min_E</span><span class="p">)</span>
+<span class="n">df_h</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="o">.</span><span class="n">adsorbate</span> <span class="o">==</span> <span class="s2">&quot;H&quot;</span><span class="p">]</span>
+<span class="n">df_nnh</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="o">.</span><span class="n">adsorbate</span> <span class="o">==</span> <span class="s2">&quot;NNH&quot;</span><span class="p">]</span>
+<span class="n">df_flat</span> <span class="o">=</span> <span class="n">df_h</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">df_nnh</span><span class="p">,</span> <span class="n">on</span> <span class="o">=</span> <span class="s2">&quot;bulk_id&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="make-parity-plots-for-values-obtained-by-ml-v-reported-in-the-paper">
+<h1>Make parity plots for values obtained by ML v. reported in the paper<a class="headerlink" href="#make-parity-plots-for-values-obtained-by-ml-v-reported-in-the-paper" title="Link to this heading">#</a></h1>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Add literature data to the dataframe</span>
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s2">&quot;literature_data.pkl&quot;</span><span class="p">,</span> <span class="s2">&quot;rb&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">literature_data</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+<span class="n">df_all</span> <span class="o">=</span> <span class="n">df_flat</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">literature_data</span><span class="p">),</span> <span class="n">on</span> <span class="o">=</span> <span class="s2">&quot;bulk_id&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">f</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">sharey</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">f</span><span class="o">.</span><span class="n">set_figheight</span><span class="p">(</span><span class="mi">15</span><span class="p">)</span>
+<span class="n">x</span> <span class="o">=</span> <span class="n">df_all</span><span class="o">.</span><span class="n">min_E_ml_x</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">y</span> <span class="o">=</span> <span class="n">df_all</span><span class="o">.</span><span class="n">E_lit_H</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;*H parity&quot;</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="s2">&quot;k-&quot;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+<span class="n">slope</span><span class="p">,</span> <span class="n">intercept</span><span class="p">,</span> <span class="n">r</span><span class="p">,</span> <span class="n">p</span><span class="p">,</span> <span class="n">se</span> <span class="o">=</span> <span class="n">linregress</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+    <span class="p">[</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span>
+    <span class="p">[</span>
+        <span class="o">-</span><span class="mf">3.5</span> <span class="o">*</span> <span class="n">slope</span> <span class="o">+</span> <span class="n">intercept</span><span class="p">,</span>
+        <span class="mi">2</span> <span class="o">*</span> <span class="n">slope</span> <span class="o">+</span> <span class="n">intercept</span><span class="p">,</span>
+    <span class="p">],</span>
+    <span class="s2">&quot;k--&quot;</span><span class="p">,</span>
+    <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span>
+    <span class="p">[</span>
+        <span class="s2">&quot;y = x&quot;</span><span class="p">,</span>
+        <span class="sa">f</span><span class="s2">&quot;y = </span><span class="si">{</span><span class="n">slope</span><span class="si">:</span><span class="s2">1.2f</span><span class="si">}</span><span class="s2"> x + </span><span class="si">{</span><span class="n">intercept</span><span class="si">:</span><span class="s2">1.2f</span><span class="si">}</span><span class="s2">, R-sq = </span><span class="si">{</span><span class="n">r</span><span class="o">**</span><span class="mi">2</span><span class="si">:</span><span class="s2">1.2f</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span>
+    <span class="p">],</span>
+    <span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper left&quot;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">&quot;square&quot;</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;dE predicted OCP [eV]&quot;</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;dE NRR paper [eV]&quot;</span><span class="p">);</span>
+
+
+<span class="n">x</span> <span class="o">=</span> <span class="n">df_all</span><span class="o">.</span><span class="n">min_E_ml_y</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">y</span> <span class="o">=</span> <span class="n">df_all</span><span class="o">.</span><span class="n">E_lit_NNH</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;*N*NH parity&quot;</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="s2">&quot;k-&quot;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+<span class="n">slope</span><span class="p">,</span> <span class="n">intercept</span><span class="p">,</span> <span class="n">r</span><span class="p">,</span> <span class="n">p</span><span class="p">,</span> <span class="n">se</span> <span class="o">=</span> <span class="n">linregress</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+    <span class="p">[</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span>
+    <span class="p">[</span>
+        <span class="o">-</span><span class="mf">3.5</span> <span class="o">*</span> <span class="n">slope</span> <span class="o">+</span> <span class="n">intercept</span><span class="p">,</span>
+        <span class="mi">2</span> <span class="o">*</span> <span class="n">slope</span> <span class="o">+</span> <span class="n">intercept</span><span class="p">,</span>
+    <span class="p">],</span>
+    <span class="s2">&quot;k--&quot;</span><span class="p">,</span>
+    <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">ax2</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span>
+    <span class="p">[</span>
+        <span class="s2">&quot;y = x&quot;</span><span class="p">,</span>
+        <span class="sa">f</span><span class="s2">&quot;y = </span><span class="si">{</span><span class="n">slope</span><span class="si">:</span><span class="s2">1.2f</span><span class="si">}</span><span class="s2"> x + </span><span class="si">{</span><span class="n">intercept</span><span class="si">:</span><span class="s2">1.2f</span><span class="si">}</span><span class="s2">, R-sq = </span><span class="si">{</span><span class="n">r</span><span class="o">**</span><span class="mi">2</span><span class="si">:</span><span class="s2">1.2f</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span>
+    <span class="p">],</span>
+    <span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper left&quot;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">&quot;square&quot;</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="o">-</span><span class="mf">3.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;dE predicted OCP [eV]&quot;</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;dE NRR paper [eV]&quot;</span><span class="p">);</span>
+<span class="n">f</span><span class="o">.</span><span class="n">set_figwidth</span><span class="p">(</span><span class="mi">15</span><span class="p">)</span>
+<span class="n">f</span><span class="o">.</span><span class="n">set_figheight</span><span class="p">(</span><span class="mi">7</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/scipy/stats/_stats_py.py:10729: RuntimeWarning: invalid value encountered in scalar divide
+  slope = ssxym / ssxm
+/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/scipy/stats/_stats_py.py:10743: RuntimeWarning: invalid value encountered in sqrt
+  t = r * np.sqrt(df / ((1.0 - r + TINY)*(1.0 + r + TINY)))
+/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/scipy/stats/_stats_py.py:10749: RuntimeWarning: invalid value encountered in scalar divide
+  slope_stderr = np.sqrt((1 - r**2) * ssym / ssxm / df)
+</pre></div>
+</div>
+<img alt="../../_images/d085fcf95620c51f0139bb53ce20fa56babee2b0f58b4d26e7ce82dfae67d8a7.png" src="../../_images/d085fcf95620c51f0139bb53ce20fa56babee2b0f58b4d26e7ce82dfae67d8a7.png" />
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="make-figure-6b-and-compare-to-literature-results">
+<h1>Make figure 6b and compare to literature results<a class="headerlink" href="#make-figure-6b-and-compare-to-literature-results" title="Link to this heading">#</a></h1>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">f</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">sharey</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">x</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;HER&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">min_E_ml_y</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">y</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;HER&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">min_E_ml_x</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">comp</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;HER&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">composition</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+
+<span class="n">ax1</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span><span class="n">c</span><span class="o">=</span> <span class="s2">&quot;r&quot;</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s2">&quot;HER&quot;</span><span class="p">)</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">txt</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">comp</span><span class="p">):</span>
+    <span class="n">ax1</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">txt</span><span class="p">,</span> <span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">y</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
+
+<span class="n">x</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;NRR&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">min_E_ml_y</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">y</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;NRR&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">min_E_ml_x</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">comp</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;NRR&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">composition</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span><span class="n">c</span><span class="o">=</span> <span class="s2">&quot;b&quot;</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s2">&quot;NRR&quot;</span><span class="p">)</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">txt</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">comp</span><span class="p">):</span>
+    <span class="n">ax1</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">txt</span><span class="p">,</span> <span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">y</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
+
+
+<span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;dE *N*NH predicted OCP [eV]&quot;</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;dE *H predicted OCP [eV]&quot;</span><span class="p">)</span>
+
+
+<span class="n">x</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;HER&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">E_lit_NNH</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">y</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;HER&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">E_lit_H</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">comp</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;HER&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">composition</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+
+<span class="n">ax2</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span><span class="n">c</span><span class="o">=</span> <span class="s2">&quot;r&quot;</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s2">&quot;HER&quot;</span><span class="p">)</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">txt</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">comp</span><span class="p">):</span>
+    <span class="n">ax2</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">txt</span><span class="p">,</span> <span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">y</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
+
+<span class="n">x</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;NRR&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">E_lit_NNH</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">y</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;NRR&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">E_lit_H</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">comp</span> <span class="o">=</span> <span class="n">df_all</span><span class="p">[</span><span class="n">df_all</span><span class="o">.</span><span class="n">reaction</span> <span class="o">==</span> <span class="s2">&quot;NRR&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">composition</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span><span class="n">c</span><span class="o">=</span> <span class="s2">&quot;b&quot;</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s2">&quot;NRR&quot;</span><span class="p">)</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">txt</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">comp</span><span class="p">):</span>
+    <span class="n">ax2</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">txt</span><span class="p">,</span> <span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">y</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
+
+<span class="n">ax2</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;dE *N*NH literature [eV]&quot;</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;dE *H literature [eV]&quot;</span><span class="p">)</span>
+<span class="n">f</span><span class="o">.</span><span class="n">set_figwidth</span><span class="p">(</span><span class="mi">15</span><span class="p">)</span>
+<span class="n">f</span><span class="o">.</span><span class="n">set_figheight</span><span class="p">(</span><span class="mi">7</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../../_images/c610008d4a18c3cc37a00c808f0eb07ce2198f838553d190b8d1cdba08a0a8c6.png" src="../../_images/c610008d4a18c3cc37a00c808f0eb07ce2198f838553d190b8d1cdba08a0a8c6.png" />
+</div>
+</div>
+</section>
+
+    <script type="text/x-thebe-config">
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Using OCP to enumerate adsorbates on alloy catalyst surfaces</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#introduction">Introduction</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on">Enumerate the adsorbate-slab configurations to run relaxations on</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#work-out-a-single-example">Work out a single example</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#run-an-ml-relaxation">Run an ML relaxation</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#run-all-the-systems">Run all the systems</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#parse-the-trajectories-and-post-process">Parse the trajectories and post-process</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#make-parity-plots-for-values-obtained-by-ml-v-reported-in-the-paper">Make parity plots for values obtained by ML v. reported in the paper</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#make-figure-6b-and-compare-to-literature-results">Make figure 6b and compare to literature results</a></li>
+</ul>
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+<li class="toctree-l1"><a class="reference internal" href="NRR_example.html#enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on">Enumerate the adsorbate-slab configurations to run relaxations on</a></li>
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+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../autoapi/cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../autoapi/cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Simple simulations using the OCP ASE calculator</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Simple simulations using the OCP ASE calculator</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#calculating-adsorption-energies">Calculating adsorption energies</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exercises">Exercises</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#trends-in-adsorption-energies-across-metals">Trends in adsorption energies across metals.</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#site-correlations">Site correlations</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id1">Exercises</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#next-steps">Next steps</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#convergence-study">Convergence study</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#effects-of-number-of-layers">Effects of number of layers</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#effects-of-relaxation">Effects of relaxation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#unit-cell-size">Unit cell size</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#summary">Summary</a></li>
+</ul>
+</li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="simple-simulations-using-the-ocp-ase-calculator">
+<h1>Simple simulations using the OCP ASE calculator<a class="headerlink" href="#simple-simulations-using-the-ocp-ase-calculator" title="Link to this heading">#</a></h1>
+<p>To introduce OCP we start with using it to calculate adsorption energies for a simple, atomic adsorbate where we specify the site we want to the adsorption energy for. Conceptually, you do this like you would do it with density functional theory. You create a slab model for the surface, place an adsorbate on it as an initial guess, run a relaxation to get the lowest energy geometry, and then compute the adsorption energy using reference states for the adsorbate.</p>
+<p>You do have to be careful in the details though. Some OCP model/checkpoint combinations return a total energy like density functional theory would, but some return an “adsorption energy” directly. You have to know which one you are using. In this example, the model we use returns an “adsorption energy”.</p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="calculating-adsorption-energies">
+<h1>Calculating adsorption energies<a class="headerlink" href="#calculating-adsorption-energies" title="Link to this heading">#</a></h1>
+<p>Calculating adsorption energy with OCP
+Adsorption energies are different than you might be used to in OCP. For example, you may want the adsorption energy of oxygen, and conventionally you would compute that from this reaction:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>1/2 O2 + slab -&gt; slab-O
+</pre></div>
+</div>
+<p>This is not what is done in OCP. It is referenced to a different reaction</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>x CO + (x + y/2 - z) H2 + (z-x) H2O + w/2 N2 + * -&gt; CxHyOzNw*
+</pre></div>
+</div>
+<p>Here, x=y=w=0, z=1, so the reaction ends up as</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>-H2 + H2O + * -&gt; O*
+</pre></div>
+</div>
+<p>or alternatively,</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>H2O + * -&gt; O* + H2
+</pre></div>
+</div>
+<p>It is possible through thermodynamic cycles to compute other reactions. If we can look up rH1 below and compute rH2</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>H2 + 1/2 O2 -&gt; H2O  re1 = -3.03 eV
+H2O + * -&gt; O* + H2  re2  # Get from OCP as a direct calculation
+</pre></div>
+</div>
+<p>Then, the adsorption energy for</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>1/2O2 + * -&gt; O*  
+</pre></div>
+</div>
+<p>is just re1 + re2.</p>
+<p>Based on https://atct.anl.gov/Thermochemical%20Data/version%201.118/species/?species_number=986, the formation energy of water is about -3.03 eV at standard state. You could also compute this using DFT.</p>
+<p>The first step is getting a checkpoint for the model we want to use. eSCN is currently the state of the art model <a class="reference external" href="https://arxiv.org/abs/2302.03655"><code class="docutils literal notranslate"><span class="pre">arXiv</span></code></a>. This next cell will download the checkpoint if you don’t have it already. However, we’re going to use an older GemNet model (which still works pretty well!) just to keep the resources lower for this tutorial.</p>
+<p>The different models have different compute requirements. If you find your kernel is crashing, it probably means you have exceeded the allowed amount of memory. This checkpoint works fine in this example, but it may crash your kernel if you use it in the NRR example.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Next we load the checkpoint. The output is somewhat verbose, but it can be informative for debugging purposes.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+<span class="c1"># calc = OCPCalculator(checkpoint_path=checkpoint_path, cpu=True)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/tutorials/checkpoints/2025-01-21-20-05-20
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/tutorials/logs/wandb/2025-01-21-20-05-20
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/tutorials/results/2025-01-21-20-05-20
+  seed: null
+  timestamp_id: 2025-01-21-20-05-20
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb_v2
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 4
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  alpha_drop: 0.1
+  attn_activation: silu
+  attn_alpha_channels: 64
+  attn_hidden_channels: 64
+  attn_value_channels: 16
+  distance_function: gaussian
+  drop_path_rate: 0.1
+  edge_channels: 128
+  ffn_activation: silu
+  ffn_hidden_channels: 128
+  grid_resolution: 18
+  lmax_list:
+  - 4
+  max_neighbors: 20
+  max_num_elements: 90
+  max_radius: 12.0
+  mmax_list:
+  - 2
+  name: equiformer_v2
+  norm_type: layer_norm_sh
+  num_distance_basis: 512
+  num_heads: 8
+  num_layers: 8
+  num_sphere_samples: 128
+  otf_graph: true
+  proj_drop: 0.0
+  regress_forces: true
+  sphere_channels: 128
+  use_atom_edge_embedding: true
+  use_gate_act: false
+  use_grid_mlp: true
+  use_pbc: true
+  use_s2_act_attn: false
+  weight_init: uniform
+optim:
+  batch_size: 8
+  clip_grad_norm: 100
+  ema_decay: 0.999
+  energy_coefficient: 4
+  eval_batch_size: 8
+  eval_every: 10000
+  force_coefficient: 100
+  grad_accumulation_steps: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0004
+  max_epochs: 3
+  num_workers: 8
+  optimizer: AdamW
+  optimizer_params:
+    weight_decay: 0.001
+  scheduler: LambdaLR
+  scheduler_params:
+    epochs: 1009275
+    lambda_type: cosine
+    lr: 0.0004
+    lr_min_factor: 0.01
+    warmup_epochs: 3364.25
+    warmup_factor: 0.2
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 9
+  folder: /checkpoint/abhshkdz/open-catalyst-project/logs/equiformer_v2/8307793
+  gpus_per_node: 8
+  job_id: &#39;8307793&#39;
+  job_name: eq2s_051701_allmd
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: learnaccel
+  time: 4320
+task:
+  dataset: trajectory_lmdb_v2
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: equiformer_v2
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:equiformer_v2 (EquiformerV2) class is deprecated in favor of equiformer_v2_backbone_and_heads  (EquiformerV2BackboneAndHeads)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded EquiformerV2 with 31058690 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
+</div>
+<p>Next we can build a slab with an adsorbate on it. Here we use the ASE module to build a Pt slab. We use the experimental lattice constant that is the default. This can introduce some small errors with DFT since the lattice constant can differ by a few percent, and it is common to use DFT lattice constants. In this example, we do not constrain any layers.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">fcc111</span><span class="p">,</span> <span class="n">add_adsorbate</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">re1</span> <span class="o">=</span> <span class="o">-</span><span class="mf">3.03</span>
+
+<span class="n">slab</span> <span class="o">=</span> <span class="n">fcc111</span><span class="p">(</span><span class="s1">&#39;Pt&#39;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">),</span> <span class="n">vacuum</span><span class="o">=</span><span class="mf">10.0</span><span class="p">)</span>
+<span class="n">add_adsorbate</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">position</span><span class="o">=</span><span class="s1">&#39;fcc&#39;</span><span class="p">)</span>
+
+<span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">slab</span><span class="p">)</span>
+<span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+<span class="n">slab_e</span> <span class="o">=</span> <span class="n">slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+<span class="n">slab_e</span> <span class="o">+</span> <span class="n">re1</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5482/3494085424.py:6: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:06:18        1.212759        1.631533
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:06:19        1.071973        0.906285
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:06:20        0.981416        0.637568
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:06:21        0.960157        0.689581
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:06:21        0.881592        0.561220
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 20:06:22        0.835369        0.376823
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 20:06:23        0.824566        0.420685
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 20:06:23        0.812913        0.512922
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 20:06:24        0.827289        0.900857
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 20:06:25        0.779739        0.358859
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 20:06:26        0.770885        0.205433
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 20:06:26        0.757471        0.122977
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 20:06:27        0.755314        0.112762
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 20:06:28        0.754124        0.105062
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 20:06:28        0.755012        0.087121
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 20:06:29        0.758034        0.048092
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-2.27196583032608
+</pre></div>
+</div>
+</div>
+</div>
+<p>It is good practice to look at your geometries to make sure they are what you expect.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.visualize.plot</span><span class="w"> </span><span class="kn">import</span> <span class="n">plot_atoms</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+<span class="n">plot_atoms</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]);</span>
+<span class="n">plot_atoms</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">rotation</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;-90x&#39;</span><span class="p">))</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/9284473c2ec7aa6456f88d7d3fde531fb0f54f96e76898bf7f88e440b84e873b.png" src="../_images/9284473c2ec7aa6456f88d7d3fde531fb0f54f96e76898bf7f88e440b84e873b.png" />
+</div>
+</div>
+<p>How did we do? We need a reference point. In the paper below, there is an atomic adsorption energy for O on Pt(111) of about -4.264 eV. This is for the reaction O + * -&gt; O*. To convert this to the dissociative adsorption energy, we have to add the reaction:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>1/2 O2 -&gt; O   D = 2.58 eV (expt)
+</pre></div>
+</div>
+<p>to get a comparable energy of about -1.68 eV. There is about ~0.6 eV difference (we predicted -2.3 eV above, and the reference comparison is -1.68 eV) to account for. The biggest difference is likely due to the differences in exchange-correlation functional. The reference data used the PBE functional, and eSCN was trained on <em>RPBE</em> data. To additional places where there are differences include:</p>
+<ol class="arabic simple">
+<li><p>Difference in lattice constant</p></li>
+<li><p>The reference energy used for the experiment references. These can differ by up to 0.5 eV from comparable DFT calculations.</p></li>
+<li><p>How many layers are relaxed in the calculation</p></li>
+</ol>
+<p>Some of these differences tend to be systematic, and you can calibrate and correct these, especially if you can augment these with your own DFT calculations.</p>
+<p>See <a class="reference internal" href="#Convergence-study"><span class="xref myst">convergence study</span></a> for some additional studies of factors that influence this number.</p>
+<section id="exercises">
+<h2>Exercises<a class="headerlink" href="#exercises" title="Link to this heading">#</a></h2>
+<ol class="arabic simple">
+<li><p>Explore the effect of the lattice constant on the adsorption energy.</p></li>
+<li><p>Try different sites, including the bridge and top sites. Compare the energies, and inspect the resulting geometries.</p></li>
+</ol>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="trends-in-adsorption-energies-across-metals">
+<h1>Trends in adsorption energies across metals.<a class="headerlink" href="#trends-in-adsorption-energies-across-metals" title="Link to this heading">#</a></h1>
+<p>Xu, Z., &amp; Kitchin, J. R. (2014). Probing the coverage dependence of site and adsorbate configurational correlations on (111) surfaces of late transition metals. J. Phys. Chem. C, 118(44), 25597–25602. http://dx.doi.org/10.1021/jp508805h</p>
+<p><a class="reference external" href="https://pubs.acs.org/doi/suppl/10.1021/jp508805h/suppl_file/jp508805h_si_001.pdf">Supporting information</a>.</p>
+<p>These are atomic adsorption energies:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>O + * -&gt; O*
+</pre></div>
+</div>
+<p>We have to do some work to get comparable numbers from OCP</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>H2 + 1/2 O2 -&gt; H2O  re1 = -3.03 eV
+H2O + * -&gt; O* + H2  re2   # Get from OCP
+O -&gt; 1/2 O2         re3 = -2.58 eV
+</pre></div>
+</div>
+<p>Then, the adsorption energy for</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>O + * -&gt; O*  
+</pre></div>
+</div>
+<p>is just re1 + re2 + re3.</p>
+<p>Here we just look at the fcc site on Pt. First, we get the data stored in the paper.</p>
+<p>Next we get the structures and compute their energies. Some subtle points are that we have to account for stoichiometry, and normalize the adsorption energy by the number of oxygens.</p>
+<p>First we get a reference energy from the paper (PBE, 0.25 ML O on Pt(111)).</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">json</span>
+
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;energies.json&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">edata</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;structures.json&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">sdata</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+    
+<span class="n">edata</span><span class="p">[</span><span class="s1">&#39;Pt&#39;</span><span class="p">][</span><span class="s1">&#39;O&#39;</span><span class="p">][</span><span class="s1">&#39;fcc&#39;</span><span class="p">][</span><span class="s1">&#39;0.25&#39;</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-4.263842000000002
+</pre></div>
+</div>
+</div>
+</div>
+<p>Next, we load data from the SI to get the geometry to start from.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;structures.json&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">s</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+    
+<span class="n">sfcc</span> <span class="o">=</span> <span class="n">s</span><span class="p">[</span><span class="s1">&#39;Pt&#39;</span><span class="p">][</span><span class="s1">&#39;O&#39;</span><span class="p">][</span><span class="s1">&#39;fcc&#39;</span><span class="p">][</span><span class="s1">&#39;0.25&#39;</span><span class="p">]</span>    
+</pre></div>
+</div>
+</div>
+</div>
+<p>Next, we construct the atomic geometry, run the geometry optimization, and compute the energy.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">re3</span> <span class="o">=</span> <span class="o">-</span><span class="mf">2.58</span>  <span class="c1"># O -&gt; 1/2 O2         re3 = -2.58 eV</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase</span><span class="w"> </span><span class="kn">import</span> <span class="n">Atoms</span>
+
+<span class="n">atoms</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">(</span><span class="n">sfcc</span><span class="p">[</span><span class="s1">&#39;symbols&#39;</span><span class="p">],</span>
+              <span class="n">positions</span><span class="o">=</span><span class="n">sfcc</span><span class="p">[</span><span class="s1">&#39;pos&#39;</span><span class="p">],</span>
+              <span class="n">cell</span><span class="o">=</span><span class="n">sfcc</span><span class="p">[</span><span class="s1">&#39;cell&#39;</span><span class="p">],</span>
+              <span class="n">pbc</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+<span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
+
+<span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+<span class="n">re2</span> <span class="o">=</span> <span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+    
+<span class="n">nO</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">atoms</span><span class="p">:</span>
+    <span class="k">if</span> <span class="n">atom</span><span class="o">.</span><span class="n">symbol</span> <span class="o">==</span> <span class="s1">&#39;O&#39;</span><span class="p">:</span>
+        <span class="n">nO</span> <span class="o">+=</span> <span class="mi">1</span>
+        <span class="n">re2</span> <span class="o">+=</span> <span class="n">re1</span> <span class="o">+</span> <span class="n">re3</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">re2</span> <span class="o">/</span> <span class="n">nO</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5482/2476004300.py:10: FutureWarning: Please use atoms.calc = calc
+  atoms.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:06:31        0.720970        0.217972
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:06:31        0.717581        0.182151
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:06:32        0.707523        0.067380
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:06:32        0.705305        0.062095
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:06:33        0.701210        0.049767
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-4.908789680004119
+</pre></div>
+</div>
+</div>
+</div>
+<section id="site-correlations">
+<h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link to this heading">#</a></h2>
+<p>This cell reproduces a portion of a figure in the paper. We compare oxygen adsorption energies in the fcc and hcp sites across metals and coverages. These adsorption energies are highly correlated with each other because the adsorption sites are so similar.</p>
+<p>At higher coverages, the agreement is not as good. This is likely because the model is extrapolating and needs to be fine-tuned.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">tqdm</span><span class="w"> </span><span class="kn">import</span> <span class="n">tqdm</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
+
+<span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;fcc&#39;</span><span class="p">:</span> <span class="p">[],</span>
+       <span class="s1">&#39;hcp&#39;</span><span class="p">:</span> <span class="p">[]}</span>
+
+<span class="n">refdata</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;fcc&#39;</span><span class="p">:</span> <span class="p">[],</span>
+           <span class="s1">&#39;hcp&#39;</span><span class="p">:</span> <span class="p">[]}</span>
+
+
+<span class="k">for</span> <span class="n">metal</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;Cu&#39;</span><span class="p">,</span> <span class="s1">&#39;Ag&#39;</span><span class="p">,</span> <span class="s1">&#39;Pd&#39;</span><span class="p">,</span> <span class="s1">&#39;Pt&#39;</span><span class="p">,</span> <span class="s1">&#39;Rh&#39;</span><span class="p">,</span> <span class="s1">&#39;Ir&#39;</span><span class="p">]:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="n">metal</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">site</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;fcc&#39;</span><span class="p">,</span> <span class="s1">&#39;hcp&#39;</span><span class="p">]:</span>
+        <span class="k">for</span> <span class="n">adsorbate</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;O&#39;</span><span class="p">]:</span>
+            <span class="k">for</span> <span class="n">coverage</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">([</span><span class="s1">&#39;0.25&#39;</span><span class="p">]):</span>
+                 
+                
+                <span class="n">entry</span> <span class="o">=</span> <span class="n">s</span><span class="p">[</span><span class="n">metal</span><span class="p">][</span><span class="n">adsorbate</span><span class="p">][</span><span class="n">site</span><span class="p">][</span><span class="n">coverage</span><span class="p">]</span>
+                
+                <span class="n">atoms</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">(</span><span class="n">entry</span><span class="p">[</span><span class="s1">&#39;symbols&#39;</span><span class="p">],</span>
+                              <span class="n">positions</span><span class="o">=</span><span class="n">entry</span><span class="p">[</span><span class="s1">&#39;pos&#39;</span><span class="p">],</span>
+                              <span class="n">cell</span><span class="o">=</span><span class="n">entry</span><span class="p">[</span><span class="s1">&#39;cell&#39;</span><span class="p">],</span>
+                              <span class="n">pbc</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    
+                <span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+                <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">atoms</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>  <span class="c1"># no logfile to suppress output</span>
+
+                <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+                
+                <span class="n">re2</span> <span class="o">=</span> <span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+                <span class="n">nO</span> <span class="o">=</span> <span class="mi">0</span>
+                <span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">atoms</span><span class="p">:</span>
+                    <span class="k">if</span> <span class="n">atom</span><span class="o">.</span><span class="n">symbol</span> <span class="o">==</span> <span class="s1">&#39;O&#39;</span><span class="p">:</span>
+                        <span class="n">nO</span> <span class="o">+=</span> <span class="mi">1</span>
+                        <span class="n">re2</span> <span class="o">+=</span> <span class="n">re1</span> <span class="o">+</span> <span class="n">re3</span>
+                
+                <span class="n">data</span><span class="p">[</span><span class="n">site</span><span class="p">]</span> <span class="o">+=</span> <span class="p">[</span><span class="n">re2</span> <span class="o">/</span> <span class="n">nO</span><span class="p">]</span>
+                <span class="n">refdata</span><span class="p">[</span><span class="n">site</span><span class="p">]</span> <span class="o">+=</span> <span class="p">[</span><span class="n">edata</span><span class="p">[</span><span class="n">metal</span><span class="p">][</span><span class="n">adsorbate</span><span class="p">][</span><span class="n">site</span><span class="p">][</span><span class="n">coverage</span><span class="p">]]</span>  
+                
+<span class="sa">f</span><span class="s1">&#39;Elapsed time = </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">t0</span><span class="si">}</span><span class="s1"> seconds&#39;</span>            
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Cu
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5482/1169188772.py:27: FutureWarning: Please use atoms.calc = calc
+  atoms.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.44s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.44s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:04&lt;00:00,  4.07s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:04&lt;00:00,  4.07s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Ag
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.31s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.31s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:04&lt;00:00,  4.04s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:04&lt;00:00,  4.04s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Pd
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.39s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.39s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:04&lt;00:00,  4.07s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:04&lt;00:00,  4.07s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Pt
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.89s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.89s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.72s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.72s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Rh
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  1.72it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  1.71it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  1.73it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  1.73it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Ir
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.76s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.76s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.16s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.16s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;Elapsed time = 30.053500652313232 seconds&#39;
+</pre></div>
+</div>
+</div>
+</div>
+<p>First, we compare the computed data and reference data. There is a systematic difference of about 0.5 eV due to the difference between RPBE and PBE functionals, and other subtle differences like lattice constant differences and reference energy differences. This is pretty typical, and an expected deviation.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">refdata</span><span class="p">[</span><span class="s1">&#39;fcc&#39;</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;fcc&#39;</span><span class="p">],</span> <span class="s1">&#39;r.&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;fcc&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">refdata</span><span class="p">[</span><span class="s1">&#39;hcp&#39;</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;hcp&#39;</span><span class="p">],</span> <span class="s1">&#39;b.&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;hcp&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="o">-</span><span class="mf">5.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">3.5</span><span class="p">],</span> <span class="p">[</span><span class="o">-</span><span class="mf">5.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">3.5</span><span class="p">],</span> <span class="s1">&#39;k-&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Ref. data (DFT)&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;OCP prediction&#39;</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/e3fd61dcdf6e11bd5a8a3fcfbd88083cfb2bd0a5210dace930ee3ecc4fdef4bd.png" src="../_images/e3fd61dcdf6e11bd5a8a3fcfbd88083cfb2bd0a5210dace930ee3ecc4fdef4bd.png" />
+</div>
+</div>
+<p>Next we compare the correlation between the hcp and fcc sites. Here we see the same trends. The data falls below the parity line because the hcp sites tend to be a little weaker binding than the fcc sites.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">refdata</span><span class="p">[</span><span class="s1">&#39;hcp&#39;</span><span class="p">],</span> <span class="n">refdata</span><span class="p">[</span><span class="s1">&#39;fcc&#39;</span><span class="p">],</span> <span class="s1">&#39;r.&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;hcp&#39;</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;fcc&#39;</span><span class="p">],</span> <span class="s1">&#39;.&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="o">-</span><span class="mi">6</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="o">-</span><span class="mi">6</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="s1">&#39;k-&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;$H_{ads, hcp}$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;$H_{ads, fcc}$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;DFT (PBE)&#39;</span><span class="p">,</span> <span class="s1">&#39;OCP&#39;</span><span class="p">]);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/8f08a1844e72cbcb5f4cdc480569fbae327ae17c40636bf29916b7120c7fa743.png" src="../_images/8f08a1844e72cbcb5f4cdc480569fbae327ae17c40636bf29916b7120c7fa743.png" />
+</div>
+</div>
+<section id="id1">
+<h3>Exercises<a class="headerlink" href="#id1" title="Link to this heading">#</a></h3>
+<ol class="arabic simple">
+<li><p>You can also explore a few other adsorbates: C, H, N.</p></li>
+<li><p>Explore the higher coverages. The deviations from the reference data are expected to be higher, but relative differences tend to be better. You probably need fine tuning to improve this performance. This data set doesn’t have forces though, so it isn’t practical to do it here.</p></li>
+</ol>
+</section>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="next-steps">
+<h1>Next steps<a class="headerlink" href="#next-steps" title="Link to this heading">#</a></h1>
+<p>In the next step, we consider some more complex adsorbates in nitrogen reduction, and how we can leverage OCP to automate the search for the most stable adsorbate geometry. See <a class="reference internal" href="#./NRR/NRR_example-gemnet"><span class="xref myst">the next step</span></a>.</p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="convergence-study">
+<h1>Convergence study<a class="headerlink" href="#convergence-study" title="Link to this heading">#</a></h1>
+<p>In <a class="reference internal" href="#Calculating-adsorption-energies"><span class="xref myst">Calculating adsorption energies</span></a> we discussed some possible reasons we might see a discrepancy. Here we investigate some factors that impact the computed energies.</p>
+<p>In this section, the energies refer to the reaction 1/2 O2 -&gt; O*.</p>
+<section id="effects-of-number-of-layers">
+<h2>Effects of number of layers<a class="headerlink" href="#effects-of-number-of-layers" title="Link to this heading">#</a></h2>
+<p>Slab thickness could be a factor. Here we relax the whole slab, and see by about 4 layers the energy is converged to ~0.02 eV.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">nlayers</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">]:</span>
+    <span class="n">slab</span> <span class="o">=</span> <span class="n">fcc111</span><span class="p">(</span><span class="s1">&#39;Pt&#39;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">nlayers</span><span class="p">),</span> <span class="n">vacuum</span><span class="o">=</span><span class="mf">10.0</span><span class="p">)</span>
+    <span class="n">add_adsorbate</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">position</span><span class="o">=</span><span class="s1">&#39;fcc&#39;</span><span class="p">)</span>
+
+    <span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+    <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+    <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+    <span class="n">slab_e</span> <span class="o">=</span> <span class="n">slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;nlayers = </span><span class="si">{</span><span class="n">nlayers</span><span class="si">}</span><span class="s1">: </span><span class="si">{</span><span class="n">slab_e</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">re1</span><span class="si">:</span><span class="s1">1.2f</span><span class="si">}</span><span class="s1"> eV&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5482/4214609233.py:5: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 3: -2.38 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 4: -2.26 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 5: -2.27 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 6: -2.26 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 7: -2.26 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 8: -2.27 eV
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="effects-of-relaxation">
+<h2>Effects of relaxation<a class="headerlink" href="#effects-of-relaxation" title="Link to this heading">#</a></h2>
+<p>It is common to only relax a few layers, and constrain lower layers to bulk coordinates. We do that here. We only relax the adsorbate and the top layer.</p>
+<p>This has a small effect (0.1 eV).</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.constraints</span><span class="w"> </span><span class="kn">import</span> <span class="n">FixAtoms</span>
+
+<span class="k">for</span> <span class="n">nlayers</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">]:</span>
+    <span class="n">slab</span> <span class="o">=</span> <span class="n">fcc111</span><span class="p">(</span><span class="s1">&#39;Pt&#39;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">nlayers</span><span class="p">),</span> <span class="n">vacuum</span><span class="o">=</span><span class="mf">10.0</span><span class="p">)</span>
+    <span class="n">add_adsorbate</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">position</span><span class="o">=</span><span class="s1">&#39;fcc&#39;</span><span class="p">)</span>
+    
+    <span class="n">slab</span><span class="o">.</span><span class="n">set_constraint</span><span class="p">(</span><span class="n">FixAtoms</span><span class="p">(</span><span class="n">mask</span><span class="o">=</span><span class="p">[</span><span class="n">atom</span><span class="o">.</span><span class="n">tag</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">slab</span><span class="p">]))</span>
+
+    <span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+    <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+    <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+    <span class="n">slab_e</span> <span class="o">=</span> <span class="n">slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;nlayers = </span><span class="si">{</span><span class="n">nlayers</span><span class="si">}</span><span class="s1">: </span><span class="si">{</span><span class="n">slab_e</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">re1</span><span class="si">:</span><span class="s1">1.2f</span><span class="si">}</span><span class="s1"> eV&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5482/2738246227.py:9: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 3: -2.22 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 4: -2.07 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 5: -2.09 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 6: -2.08 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 7: -2.09 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>nlayers = 8: -2.10 eV
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="unit-cell-size">
+<h2>Unit cell size<a class="headerlink" href="#unit-cell-size" title="Link to this heading">#</a></h2>
+<p>Coverage effects are quite noticeable with oxygen. Here we consider larger unit cells. This effect is large, and the results don’t look right, usually adsorption energies get more favorable at lower coverage, not less. This suggests fine-tuning could be important even at low coverages.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">size</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]:</span>
+    <span class="n">slab</span> <span class="o">=</span> <span class="n">fcc111</span><span class="p">(</span><span class="s1">&#39;Pt&#39;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="mi">5</span><span class="p">),</span> <span class="n">vacuum</span><span class="o">=</span><span class="mf">10.0</span><span class="p">)</span>
+    <span class="n">add_adsorbate</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="s1">&#39;O&#39;</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">position</span><span class="o">=</span><span class="s1">&#39;fcc&#39;</span><span class="p">)</span>
+    
+    <span class="n">slab</span><span class="o">.</span><span class="n">set_constraint</span><span class="p">(</span><span class="n">FixAtoms</span><span class="p">(</span><span class="n">mask</span><span class="o">=</span><span class="p">[</span><span class="n">atom</span><span class="o">.</span><span class="n">tag</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="k">for</span> <span class="n">atom</span> <span class="ow">in</span> <span class="n">slab</span><span class="p">]))</span>
+
+    <span class="n">slab</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+    <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">slab</span><span class="p">,</span> <span class="n">logfile</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+    <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+    <span class="n">slab_e</span> <span class="o">=</span> <span class="n">slab</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;(</span><span class="si">{</span><span class="n">size</span><span class="si">}</span><span class="s1">x</span><span class="si">{</span><span class="n">size</span><span class="si">}</span><span class="s1">): </span><span class="si">{</span><span class="n">slab_e</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">re1</span><span class="si">:</span><span class="s1">1.2f</span><span class="si">}</span><span class="s1"> eV&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5482/1073633840.py:7: FutureWarning: Please use atoms.calc = calc
+  slab.set_calculator(calc)
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(1x1): -1.00 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(2x2): -2.09 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(3x3): -1.44 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(4x4): -1.48 eV
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(5x5): -1.37 eV
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="summary">
+<h2>Summary<a class="headerlink" href="#summary" title="Link to this heading">#</a></h2>
+<p>As with DFT, you should take care to see how these kinds of decisions affect your results, and determine if they would change any interpretations or not.</p>
+</section>
+</section>
+
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+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Simple simulations using the OCP ASE calculator</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#calculating-adsorption-energies">Calculating adsorption energies</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#exercises">Exercises</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#trends-in-adsorption-energies-across-metals">Trends in adsorption energies across metals.</a><ul class="visible nav section-nav flex-column">
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+</ul>
+</details></li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>AdsorbML tutorial</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on">Enumerate the adsorbate-slab configurations to run relaxations on</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#run-ml-relaxations">Run ML relaxations:</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#parse-the-trajectories-and-post-process">Parse the trajectories and post-process</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#optional-deduplicate-structures">(Optional) Deduplicate structures</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#write-vasp-input-files">Write VASP input files</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="adsorbml-tutorial">
+<h1>AdsorbML tutorial<a class="headerlink" href="#adsorbml-tutorial" title="Link to this heading">#</a></h1>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">ase.io</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.data.oc.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">Adsorbate</span><span class="p">,</span> <span class="n">AdsorbateSlabConfig</span><span class="p">,</span> <span class="n">Bulk</span><span class="p">,</span> <span class="n">Slab</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">glob</span><span class="w"> </span><span class="kn">import</span> <span class="n">glob</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.data.oc.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">DetectTrajAnomaly</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.data.oc.utils.vasp</span><span class="w"> </span><span class="kn">import</span> <span class="n">write_vasp_input_files</span>
+
+<span class="c1"># Optional - see below</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">dscribe.descriptors</span><span class="w"> </span><span class="kn">import</span> <span class="n">SOAP</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">scipy.spatial.distance</span><span class="w"> </span><span class="kn">import</span> <span class="n">pdist</span><span class="p">,</span> <span class="n">squareform</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">x3dase.visualize</span><span class="w"> </span><span class="kn">import</span> <span class="n">view_x3d_n</span>
+</pre></div>
+</div>
+</div>
+</div>
+<section id="enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on">
+<h2>Enumerate the adsorbate-slab configurations to run relaxations on<a class="headerlink" href="#enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on" title="Link to this heading">#</a></h2>
+<p>AdsorbML incorporates random placement, which is especially useful for more complicated adsorbates which may have many degrees of freedom. I have opted sample a few random placements and a few heuristic. Here I am using *CO on copper (1,1,1) as an example.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">bulk_src_id</span> <span class="o">=</span> <span class="s2">&quot;mp-30&quot;</span>
+<span class="n">adsorbate_smiles</span> <span class="o">=</span> <span class="s2">&quot;*CO&quot;</span>
+
+<span class="n">bulk</span> <span class="o">=</span> <span class="n">Bulk</span><span class="p">(</span><span class="n">bulk_src_id_from_db</span> <span class="o">=</span> <span class="n">bulk_src_id</span><span class="p">)</span>
+<span class="n">adsorbate</span> <span class="o">=</span> <span class="n">Adsorbate</span><span class="p">(</span><span class="n">adsorbate_smiles_from_db</span><span class="o">=</span><span class="n">adsorbate_smiles</span><span class="p">)</span>
+<span class="n">slabs</span> <span class="o">=</span> <span class="n">Slab</span><span class="o">.</span><span class="n">from_bulk_get_specific_millers</span><span class="p">(</span><span class="n">bulk</span> <span class="o">=</span> <span class="n">bulk</span><span class="p">,</span> <span class="n">specific_millers</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span>
+
+<span class="c1"># There may be multiple slabs with this miller index.</span>
+<span class="c1"># For demonstrative purposes we will take the first entry.</span>
+<span class="n">slab</span> <span class="o">=</span> <span class="n">slabs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading src/fairchem/data/oc/databases/pkls/bulks.pkl...
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Perform heuristic placements</span>
+<span class="n">heuristic_adslabs</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slabs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;heuristic&quot;</span><span class="p">)</span>
+
+<span class="c1"># Perform random placements</span>
+<span class="c1"># (for AdsorbML we use `num_sites = 100` but we will use 4 for brevity here)</span>
+<span class="n">random_adslabs</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slabs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;random_site_heuristic_placement&quot;</span><span class="p">,</span> <span class="n">num_sites</span> <span class="o">=</span> <span class="mi">4</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="run-ml-relaxations">
+<h2>Run ML relaxations:<a class="headerlink" href="#run-ml-relaxations" title="Link to this heading">#</a></h2>
+<p>There are 2 options for how to do this.</p>
+<ol class="arabic simple">
+<li><p>Using <code class="docutils literal notranslate"><span class="pre">OCPCalculator</span></code> as the calculator within the ASE framework</p></li>
+<li><p>By writing objects to lmdb and relaxing them using <code class="docutils literal notranslate"><span class="pre">main.py</span></code> in the ocp repo</p></li>
+</ol>
+<p>(1) is really only adequate for small stuff and it is what I will show here, but if you plan to run many relaxations, you should definitely use (2). More details about writing lmdbs has been provided <a class="reference internal" href="../core/lmdb_dataset_creation.html"><span class="std std-doc">here</span></a> - follow the IS2RS/IS2RE instructions. And more information about running relaxations once the lmdb has been written is <a class="reference internal" href="../core/model_training.html"><span class="std std-doc">here</span></a>.</p>
+<p>You need to provide the calculator with a path to a model checkpoint file. That can be downloaded <a class="reference internal" href="../core/model_checkpoints.html"><span class="doc std std-doc">here</span></a></p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+
+<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="n">adsorbate</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Define the calculator</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span> <span class="c1"># if you have a gpu, add `cpu=False` to speed up calculations</span>
+
+<span class="n">adslabs</span> <span class="o">=</span> <span class="p">[</span><span class="o">*</span><span class="n">heuristic_adslabs</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">,</span> <span class="o">*</span><span class="n">random_adslabs</span><span class="o">.</span><span class="n">atoms_list</span><span class="p">]</span>
+<span class="c1"># Set up the calculator</span>
+<span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">adslab</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">adslabs</span><span class="p">):</span>
+    <span class="n">adslab</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+    <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">adslab</span><span class="p">,</span> <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="n">adsorbate</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.traj&quot;</span><span class="p">)</span>
+    <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span> <span class="c1"># For the AdsorbML results we used fmax = 0.02 and steps = 300, but we will use less strict values for brevity.</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:amp: true
+cmd:
+  checkpoint_dir: /home/runner/work/fairchem/fairchem/docs/tutorials/checkpoints/2025-01-21-20-11-44
+  commit: c162617
+  identifier: &#39;&#39;
+  logs_dir: /home/runner/work/fairchem/fairchem/docs/tutorials/logs/wandb/2025-01-21-20-11-44
+  print_every: 100
+  results_dir: /home/runner/work/fairchem/fairchem/docs/tutorials/results/2025-01-21-20-11-44
+  seed: null
+  timestamp_id: 2025-01-21-20-11-44
+  version: 0.1.dev1+gc162617
+dataset:
+  format: trajectory_lmdb_v2
+  grad_target_mean: 0.0
+  grad_target_std: 2.887317180633545
+  key_mapping:
+    force: forces
+    y: energy
+  normalize_labels: true
+  target_mean: -0.7554450631141663
+  target_std: 2.887317180633545
+  transforms:
+    normalizer:
+      energy:
+        mean: -0.7554450631141663
+        stdev: 2.887317180633545
+      forces:
+        mean: 0.0
+        stdev: 2.887317180633545
+evaluation_metrics:
+  metrics:
+    energy:
+    - mae
+    forces:
+    - forcesx_mae
+    - forcesy_mae
+    - forcesz_mae
+    - mae
+    - cosine_similarity
+    - magnitude_error
+    misc:
+    - energy_forces_within_threshold
+  primary_metric: forces_mae
+gp_gpus: null
+gpus: 0
+logger: wandb
+loss_functions:
+- energy:
+    coefficient: 4
+    fn: mae
+- forces:
+    coefficient: 100
+    fn: l2mae
+model:
+  alpha_drop: 0.1
+  attn_activation: silu
+  attn_alpha_channels: 64
+  attn_hidden_channels: 64
+  attn_value_channels: 16
+  distance_function: gaussian
+  drop_path_rate: 0.1
+  edge_channels: 128
+  ffn_activation: silu
+  ffn_hidden_channels: 128
+  grid_resolution: 18
+  lmax_list:
+  - 4
+  max_neighbors: 20
+  max_num_elements: 90
+  max_radius: 12.0
+  mmax_list:
+  - 2
+  name: equiformer_v2
+  norm_type: layer_norm_sh
+  num_distance_basis: 512
+  num_heads: 8
+  num_layers: 8
+  num_sphere_samples: 128
+  otf_graph: true
+  proj_drop: 0.0
+  regress_forces: true
+  sphere_channels: 128
+  use_atom_edge_embedding: true
+  use_gate_act: false
+  use_grid_mlp: true
+  use_pbc: true
+  use_s2_act_attn: false
+  weight_init: uniform
+optim:
+  batch_size: 8
+  clip_grad_norm: 100
+  ema_decay: 0.999
+  energy_coefficient: 4
+  eval_batch_size: 8
+  eval_every: 10000
+  force_coefficient: 100
+  grad_accumulation_steps: 1
+  load_balancing: atoms
+  loss_energy: mae
+  loss_force: l2mae
+  lr_initial: 0.0004
+  max_epochs: 3
+  num_workers: 8
+  optimizer: AdamW
+  optimizer_params:
+    weight_decay: 0.001
+  scheduler: LambdaLR
+  scheduler_params:
+    epochs: 1009275
+    lambda_type: cosine
+    lr: 0.0004
+    lr_min_factor: 0.01
+    warmup_epochs: 3364.25
+    warmup_factor: 0.2
+outputs:
+  energy:
+    level: system
+  forces:
+    eval_on_free_atoms: true
+    level: atom
+    train_on_free_atoms: true
+relax_dataset: {}
+slurm:
+  additional_parameters:
+    constraint: volta32gb
+  cpus_per_task: 9
+  folder: /checkpoint/abhshkdz/open-catalyst-project/logs/equiformer_v2/8307793
+  gpus_per_node: 8
+  job_id: &#39;8307793&#39;
+  job_name: eq2s_051701_allmd
+  mem: 480GB
+  nodes: 8
+  ntasks_per_node: 8
+  partition: learnaccel
+  time: 4320
+task:
+  dataset: trajectory_lmdb_v2
+  eval_on_free_atoms: true
+  grad_input: atomic forces
+  labels:
+  - potential energy
+  primary_metric: forces_mae
+  train_on_free_atoms: true
+test_dataset: {}
+trainer: ocp
+val_dataset: {}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading model: equiformer_v2
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:equiformer_v2 (EquiformerV2) class is deprecated in favor of equiformer_v2_backbone_and_heads  (EquiformerV2BackboneAndHeads)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loaded EquiformerV2 with 31058690 parameters.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>INFO:root:Loading checkpoint in inference-only mode, not loading keys associated with trainer state!
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/modules/normalization/normalizer.py:69: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  &quot;mean&quot;: torch.tensor(state_dict[&quot;mean&quot;]),
+WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:10:55       -0.241180        1.130923
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:10:58       -0.272537        1.482948
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:11:01       -0.372797        1.860831
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:11:04       -0.442337        1.453495
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:11:07       -0.481420        0.592483
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 20:11:09       -0.499219        0.268369
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 20:11:12       -0.504701        0.135804
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 20:11:15       -0.505236        0.120518
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 20:11:18       -0.517501        0.095443
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 20:11:21       -0.525372        0.084905
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 20:11:24       -0.527035        0.062402
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 20:11:27       -0.530098        0.097390
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 20:11:30       -0.532788        0.113824
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 20:11:32       -0.534178        0.059988
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 20:11:35       -0.533391        0.028915
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:11:38       -0.332906        1.355625
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:11:41       -0.343280        1.642403
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:11:44       -0.377296        1.103477
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:11:47       -0.500364        0.287171
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:11:49       -0.501163        0.184932
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 20:11:52       -0.502899        0.189326
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 20:11:55       -0.508482        0.330626
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 20:11:58       -0.512987        0.262669
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 20:12:01       -0.516844        0.113653
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 20:12:04       -0.517867        0.084262
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 20:12:07       -0.519306        0.164518
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 20:12:09       -0.520836        0.174346
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 20:12:12       -0.523219        0.133427
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 20:12:15       -0.524452        0.088238
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 20:12:18       -0.525360        0.030477
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:12:21       -0.407534        1.886756
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:12:24       -0.407428        2.300059
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:12:27       -0.441233        0.785991
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:12:29       -0.465193        0.758457
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:12:32       -0.513729        1.208795
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 20:12:35       -0.545979        0.387202
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 20:12:38       -0.547757        0.181122
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 20:12:40       -0.550220        0.308677
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 20:12:43       -0.551160        0.354835
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 20:12:46       -0.556192        0.285570
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 20:12:49       -0.559155        0.139903
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 20:12:52       -0.560498        0.095282
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 20:12:54       -0.561827        0.182859
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 20:12:57       -0.562545        0.223289
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 20:13:00       -0.563661        0.180727
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 20:13:03       -0.563597        0.180218
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 20:13:06       -0.565270        0.057310
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 20:13:08       -0.565759        0.045912
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:13:11       -0.429834        1.859959
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:13:14       -0.429124        2.274018
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:13:17       -0.461901        0.737163
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:13:19       -0.481655        0.701149
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:13:22       -0.522270        1.217906
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 20:13:25       -0.549986        0.589065
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 20:13:28       -0.553413        0.194035
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 20:13:30       -0.553898        0.164227
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 20:13:33       -0.554012        0.261752
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 20:13:36       -0.556494        0.279332
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 20:13:39       -0.560708        0.195511
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 20:13:42       -0.562534        0.081900
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 20:13:44       -0.564272        0.096628
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 20:13:47       -0.564480        0.204616
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 20:13:50       -0.565193        0.215479
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 20:13:53       -0.565398        0.135823
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 20:13:56       -0.565587        0.091274
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 20:13:59       -0.565868        0.028526
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:14:01       -0.321837        1.350572
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:14:04       -0.330835        1.634702
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:14:07       -0.365177        1.117475
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:14:10       -0.496782        0.343211
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:14:13       -0.498397        0.199415
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 20:14:15       -0.500122        0.150964
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 20:14:18       -0.511925        0.349329
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 20:14:21       -0.514473        0.231902
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 20:14:24       -0.517065        0.101355
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 20:14:27       -0.517892        0.158719
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 20:14:29       -0.518056        0.202228
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 20:14:32       -0.518466        0.175738
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 20:14:35       -0.518870        0.129973
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 20:14:38       -0.520166        0.049319
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:14:41       -0.280165        1.282519
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:14:44       -0.292580        1.552939
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:14:46       -0.330638        1.266175
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:14:49       -0.380433        2.211922
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:14:52       -0.452960        0.653796
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 20:14:55       -0.470122        0.312489
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 20:14:57       -0.479203        0.374080
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 20:15:00       -0.484409        0.385848
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 20:15:03       -0.505498        0.452714
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 20:15:06       -0.512344        0.177174
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 20:15:09       -0.516361        0.175127
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 20:15:11       -0.519411        0.184759
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 20:15:14       -0.522584        0.189043
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 20:15:17       -0.525943        0.131039
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 20:15:20       -0.525381        0.084601
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 20:15:23       -0.525212        0.093308
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 20:15:25       -0.524604        0.077128
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 20:15:28       -0.524426        0.073258
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 20:15:31       -0.524917        0.055894
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 20:15:34       -0.525659        0.051123
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 20:15:36       -0.525735        0.042771
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:15:39       -0.266408        0.972634
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:15:42       -0.281242        1.186286
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:15:45       -0.352077        1.683339
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:15:48       -0.313434        2.648749
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:15:50       -0.426905        0.510171
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 20:15:53       -0.441919        0.266383
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 20:15:56       -0.449064        0.295928
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 20:15:59       -0.450767        0.291326
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 20:16:02       -0.471376        0.189149
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 20:16:04       -0.473285        0.166141
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 20:16:07       -0.477067        0.186498
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 20:16:10       -0.482095        0.266889
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 20:16:13       -0.488635        0.304360
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 20:16:16       -0.494040        0.264302
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 20:16:18       -0.497935        0.234159
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 20:16:21       -0.502942        0.259190
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 20:16:24       -0.510730        0.278492
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 20:16:27       -0.518200        0.255536
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 20:16:29       -0.523632        0.227053
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 20:16:32       -0.525690        0.151702
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 20:16:35       -0.529720        0.093103
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 20:16:38       -0.532771        0.206989
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 20:16:41       -0.532317        0.261835
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 20:16:43       -0.534242        0.251697
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 20:16:46       -0.535644        0.145228
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   25 20:16:49       -0.535123        0.103497
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   26 20:16:52       -0.535188        0.179422
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   27 20:16:55       -0.535832        0.243919
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   28 20:16:57       -0.536999        0.291297
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   29 20:17:00       -0.543273        0.395216
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   30 20:17:03       -0.548278        0.181827
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   31 20:17:06       -0.554657        0.289406
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   32 20:17:09       -0.556486        0.227632
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   33 20:17:11       -0.557246        0.113774
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   34 20:17:14       -0.558432        0.078203
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   35 20:17:17       -0.559820        0.125901
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   36 20:17:20       -0.561079        0.101297
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   37 20:17:23       -0.561208        0.065820
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   38 20:17:26       -0.561160        0.058017
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   39 20:17:28       -0.562047        0.076575
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   40 20:17:31       -0.562796        0.115987
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   41 20:17:34       -0.564479        0.126160
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   42 20:17:37       -0.562957        0.067744
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   43 20:17:40       -0.562929        0.033049
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy          fmax
+BFGS:    0 20:17:43       -0.218473        1.061664
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 20:17:46       -0.250826        1.324728
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 20:17:48       -0.382507        1.989416
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 20:17:51       -0.360311        2.263717
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 20:17:54       -0.462403        0.801435
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 20:17:57       -0.480871        0.403257
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 20:18:00       -0.490225        0.238986
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 20:18:03       -0.491336        0.200486
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 20:18:06       -0.502408        0.144422
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 20:18:08       -0.506932        0.182685
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 20:18:11       -0.508340        0.171177
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 20:18:14       -0.509576        0.086269
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 20:18:17       -0.513178        0.256044
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 20:18:20       -0.514771        0.309703
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 20:18:23       -0.517227        0.273613
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 20:18:25       -0.517842        0.152048
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 20:18:28       -0.517909        0.073034
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 20:18:31       -0.519713        0.191725
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 20:18:34       -0.521532        0.206186
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 20:18:37       -0.525438        0.124365
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 20:18:40       -0.527839        0.031758
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="parse-the-trajectories-and-post-process">
+<h2>Parse the trajectories and post-process<a class="headerlink" href="#parse-the-trajectories-and-post-process" title="Link to this heading">#</a></h2>
+<p>As a post-processing step we check to see if:</p>
+<ol class="arabic simple">
+<li><p>the adsorbate desorbed</p></li>
+<li><p>the adsorbate disassociated</p></li>
+<li><p>the adsorbate intercalated</p></li>
+<li><p>the surface has changed</p></li>
+</ol>
+<p>We check these because they effect our referencing scheme and may result in erroneous energies. For (4), the relaxed surface should really be supplied as well. It will be necessary when correcting the SP / RX energies later. Since we don’t have it here, we will ommit supplying it, and the detector will instead compare the initial and final slab from the adsorbate-slab relaxation trajectory. If a relaxed slab is provided, the detector will compare it and the slab after the adsorbate-slab relaxation. The latter is more correct! Note: for the results in the AdsorbML paper, we did not check if the adsorbate was intercalated (<code class="docutils literal notranslate"><span class="pre">is_adsorbate_intercalated()</span></code>) because it is a new addition.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Iterate over trajs to extract results</span>
+<span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">glob</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">bulk</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="n">adsorbate</span><span class="si">}</span><span class="s2">/*.traj&quot;</span><span class="p">):</span>
+    <span class="n">rx_id</span> <span class="o">=</span> <span class="n">file</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;/&quot;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;.&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="n">traj</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)</span>
+    
+    <span class="c1"># Check to see if the trajectory is anomolous</span>
+    <span class="n">initial_atoms</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="n">final_atoms</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">atom_tags</span> <span class="o">=</span> <span class="n">initial_atoms</span><span class="o">.</span><span class="n">get_tags</span><span class="p">()</span>
+    <span class="n">detector</span> <span class="o">=</span> <span class="n">DetectTrajAnomaly</span><span class="p">(</span><span class="n">initial_atoms</span><span class="p">,</span> <span class="n">final_atoms</span><span class="p">,</span> <span class="n">atom_tags</span><span class="p">)</span>
+    <span class="n">anom</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">detector</span><span class="o">.</span><span class="n">is_adsorbate_dissociated</span><span class="p">()</span>
+        <span class="ow">or</span> <span class="n">detector</span><span class="o">.</span><span class="n">is_adsorbate_desorbed</span><span class="p">()</span>
+        <span class="ow">or</span> <span class="n">detector</span><span class="o">.</span><span class="n">has_surface_changed</span><span class="p">()</span>
+        <span class="ow">or</span> <span class="n">detector</span><span class="o">.</span><span class="n">is_adsorbate_intercalated</span><span class="p">()</span>
+    <span class="p">)</span>
+    <span class="n">rx_energy</span> <span class="o">=</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span>
+    <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">({</span><span class="s2">&quot;relaxation_idx&quot;</span><span class="p">:</span> <span class="n">rx_id</span><span class="p">,</span> <span class="s2">&quot;relaxed_atoms&quot;</span><span class="p">:</span> <span class="n">traj</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+                    <span class="s2">&quot;relaxed_energy_ml&quot;</span><span class="p">:</span> <span class="n">rx_energy</span><span class="p">,</span> <span class="s2">&quot;anomolous&quot;</span><span class="p">:</span> <span class="n">anom</span><span class="p">})</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">results</span><span class="p">)</span>
+<span class="n">df</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>relaxation_idx</th>
+      <th>relaxed_atoms</th>
+      <th>relaxed_energy_ml</th>
+      <th>anomolous</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>2</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.565759</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>0</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.533391</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>4</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.520166</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>7</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.527839</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>6</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.562929</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>5</th>
+      <td>3</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.565868</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>6</th>
+      <td>1</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.525360</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>5</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.525735</td>
+      <td>False</td>
+    </tr>
+  </tbody>
+</table>
+</div></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#scrap anomalies</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="o">~</span><span class="n">df</span><span class="o">.</span><span class="n">anomolous</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="optional-deduplicate-structures">
+<h2>(Optional) Deduplicate structures<a class="headerlink" href="#optional-deduplicate-structures" title="Link to this heading">#</a></h2>
+<p>We may have enumerated very similar structures or structures may have relaxed to the same configuration. For this reason, it is advantageous to cull systems if they are very similar. This results in marginal improvements in the recall metrics we calculated for AdsorbML, so it wasnt implemented there. It is, however, a good way to prevent wasteful VASP calculations. You can also imagine that if we would have enumerated 1000 configs per slab adsorbate combo rather than 100 for AdsorbML, it is more likely that having redundant systems would reduce performance, so its a good thing to keep in mind. This may be done by eye for a small number of systems, but with many systems it is easier to use an automated approach. Here is an example of one such approach, which uses a SOAP descriptor to find similar systems.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Extract the configs and their energies</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">deduplicate</span><span class="p">(</span><span class="n">configs_for_deduplication</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span>
+                <span class="n">adsorbate_binding_index</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                <span class="n">cosine_similarity</span> <span class="o">=</span> <span class="mf">1e-3</span><span class="p">,</span>
+               <span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    A function that may be used to deduplicate similar structures.</span>
+<span class="sd">    Among duplicate entries, the one with the lowest energy will be kept.</span>
+<span class="sd">    </span>
+<span class="sd">    Args:</span>
+<span class="sd">        configs_for_deduplication: a list of ML relaxed adsorbate-</span>
+<span class="sd">            surface configurations.</span>
+<span class="sd">        cosine_similarity: The cosine simularity value above which,</span>
+<span class="sd">            configurations are considered duplicate.</span>
+<span class="sd">            </span>
+<span class="sd">    Returns:</span>
+<span class="sd">        (list): the indices of configs which should be kept as non-duplicate</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    
+    <span class="n">energies_for_deduplication</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()</span> <span class="k">for</span> <span class="n">atoms</span> <span class="ow">in</span> <span class="n">configs_for_deduplication</span><span class="p">])</span>
+    <span class="c1"># Instantiate the soap descriptor</span>
+    <span class="n">soap</span> <span class="o">=</span> <span class="n">SOAP</span><span class="p">(</span>
+        <span class="n">species</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">unique</span><span class="p">(</span><span class="n">configs_for_deduplication</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">get_chemical_symbols</span><span class="p">()),</span>
+        <span class="n">r_cut</span> <span class="o">=</span> <span class="mf">2.0</span><span class="p">,</span>
+        <span class="n">n_max</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span>
+        <span class="n">l_max</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span>
+        <span class="n">periodic</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="c1">#Figure out which index cooresponds to </span>
+    <span class="n">ads_len</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">configs_for_deduplication</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">get_tags</span><span class="p">())</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+    <span class="n">position_idx</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span><span class="o">*</span><span class="p">(</span><span class="n">ads_len</span><span class="o">-</span><span class="n">adsorbate_binding_index</span><span class="p">)</span>
+    <span class="c1"># Iterate over the systems to get the SOAP vectors</span>
+    <span class="n">soap_desc</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">config</span> <span class="ow">in</span> <span class="n">configs_for_deduplication</span><span class="p">:</span>
+        <span class="n">soap_ex</span> <span class="o">=</span> <span class="n">soap</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">centers</span><span class="o">=</span><span class="p">[</span><span class="n">position_idx</span><span class="p">])</span>
+        <span class="n">soap_desc</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">soap_ex</span><span class="p">)</span>
+
+    <span class="n">soap_descs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">(</span><span class="n">soap_desc</span><span class="p">)</span>
+
+    <span class="c1">#Use euclidean distance to assess similarity</span>
+    <span class="n">distance</span> <span class="o">=</span> <span class="n">squareform</span><span class="p">(</span><span class="n">pdist</span><span class="p">(</span><span class="n">soap_descs</span><span class="p">,</span> <span class="n">metric</span><span class="o">=</span><span class="s2">&quot;cosine&quot;</span><span class="p">))</span>
+
+    <span class="n">bool_matrix</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">distance</span> <span class="o">&lt;=</span> <span class="n">cosine_similarity</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+    <span class="c1"># For configs that are found to be similar, just keep the lowest energy one</span>
+    <span class="n">idxs_to_keep</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">pass_idxs</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">bool_matrix</span><span class="p">):</span>
+        <span class="k">if</span> <span class="n">idx</span> <span class="ow">in</span> <span class="n">pass_idxs</span><span class="p">:</span>
+            <span class="k">continue</span>
+            
+        <span class="k">elif</span> <span class="nb">sum</span><span class="p">(</span><span class="n">row</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">idxs_to_keep</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">idx</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">same_idxs</span> <span class="o">=</span> <span class="p">[</span><span class="n">row_idx</span> <span class="k">for</span> <span class="n">row_idx</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">row</span><span class="p">)</span> <span class="k">if</span> <span class="n">val</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="n">pass_idxs</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">same_idxs</span><span class="p">)</span>
+            <span class="c1"># Pick the one with the lowest energy by ML</span>
+            <span class="n">min_e</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">energies_for_deduplication</span><span class="p">[</span><span class="n">same_idxs</span><span class="p">])</span>
+            <span class="n">idxs_to_keep</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">energies_for_deduplication</span><span class="p">)</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">min_e</span><span class="p">))</span>
+    <span class="k">return</span> <span class="n">idxs_to_keep</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">configs_for_deduplication</span> <span class="o">=</span>  <span class="n">df</span><span class="o">.</span><span class="n">relaxed_atoms</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+<span class="n">idxs_to_keep</span> <span class="o">=</span> <span class="n">deduplicate</span><span class="p">(</span><span class="n">configs_for_deduplication</span><span class="p">,</span> <span class="n">adsorbate</span><span class="o">.</span><span class="n">binding_indices</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Flip through your configurations to check them out (and make sure deduplication looks good)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">idxs_to_keep</span><span class="p">)</span>
+<span class="n">view_x3d_n</span><span class="p">(</span><span class="n">configs_for_deduplication</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">repeat</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">)))</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">idxs_to_keep</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">low_e_values</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span> <span class="o">=</span> <span class="s2">&quot;relaxed_energy_ml&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">relaxed_energy_ml</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">:</span><span class="mi">5</span><span class="p">],</span><span class="mi">3</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;The lowest 5 energies are: </span><span class="si">{</span><span class="n">low_e_values</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
+<span class="n">df</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The lowest 5 energies are: [-0.566 -0.533 -0.526]
+</pre></div>
+</div>
+<div class="output text_html"><div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>index</th>
+      <th>relaxation_idx</th>
+      <th>relaxed_atoms</th>
+      <th>relaxed_energy_ml</th>
+      <th>anomolous</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>5</th>
+      <td>5</td>
+      <td>3</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.565868</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>1</td>
+      <td>0</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.533391</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>7</td>
+      <td>5</td>
+      <td>(Atom('Cu', [-1.3000465215529715, 2.2517466275...</td>
+      <td>-0.525735</td>
+      <td>False</td>
+    </tr>
+  </tbody>
+</table>
+</div></div></div>
+</div>
+</section>
+<section id="write-vasp-input-files">
+<h2>Write VASP input files<a class="headerlink" href="#write-vasp-input-files" title="Link to this heading">#</a></h2>
+<p>This assumes you have access to VASP pseudopotentials and the right environment variables configured for ASE. The default VASP flags (which are equivalent to those used to make OC20) are located in <code class="docutils literal notranslate"><span class="pre">ocdata.utils.vasp</span></code>. Alternatively, you may pass your own vasp flags to the <code class="docutils literal notranslate"><span class="pre">write_vasp_input_files</span></code> function as <code class="docutils literal notranslate"><span class="pre">vasp_flags</span></code>.</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Grab the 5 systems with the lowest energy</span>
+<span class="n">configs_for_dft</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span> <span class="o">=</span> <span class="s2">&quot;relaxed_energy_ml&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">relaxed_atoms</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">:</span><span class="mi">5</span><span class="p">]</span>
+<span class="n">config_idxs</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span> <span class="o">=</span> <span class="s2">&quot;relaxed_energy_ml&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">relaxation_idx</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">:</span><span class="mi">5</span><span class="p">]</span>
+
+<span class="c1"># Write the inputs</span>
+<span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">config</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">configs_for_dft</span><span class="p">):</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">config_idxs</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
+    <span class="n">write_vasp_input_files</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">outdir</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;data/</span><span class="si">{</span><span class="n">config_idxs</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span><span class="si">}</span><span class="s2">/&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
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+</section>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on">Enumerate the adsorbate-slab configurations to run relaxations on</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#run-ml-relaxations">Run ML relaxations:</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#parse-the-trajectories-and-post-process">Parse the trajectories and post-process</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#optional-deduplicate-structures">(Optional) Deduplicate structures</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../autoapi/data/odac/setup_vasp/index.html">data.odac.setup_vasp</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../autoapi/ocpapi/workflows/adsorbates/index.html">ocpapi.workflows.adsorbates</a></li>
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+</ul>
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+</details></li>
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+<li class="toctree-l3 has-children"><a class="reference internal" href="../../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../../autoapi/cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
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+</ul>
+</details></li>
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+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../../execution_time.html">Notebook execution times</a></li>
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+</button>
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Advanced OCP usage</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
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+              
+                
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+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="advanced-ocp-usage">
+<h1>Advanced OCP usage<a class="headerlink" href="#advanced-ocp-usage" title="Link to this heading">#</a></h1>
+<p>See the sections of this tutorial to the left to get started!</p>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="fine-tuning-in-python.html">Fine-tuning with Python</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fine-tuning-in-python.html#split-the-data-into-train-test-val-sets">Split the data into train, test, val sets</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fine-tuning-in-python.html#setup-the-training-code">Setup the training code</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fine-tuning-in-python.html#run-the-training-task">Run the training task</a></li>
+<li class="toctree-l1"><a class="reference internal" href="embeddings.html">Working with embeddings</a></li>
+<li class="toctree-l1"><a class="reference internal" href="embeddings.html#a-diagnostic-example">A diagnostic example</a></li>
+<li class="toctree-l1"><a class="reference internal" href="embeddings.html#a-clustering-example">A clustering example</a></li>
+<li class="toctree-l1"><a class="reference internal" href="embeddings.html#a-simple-vector-search-example">A simple vector search example</a></li>
+</ul>
+</div>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Working with embeddings</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Working with embeddings</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#a-diagnostic-example">A diagnostic example</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#bulk-cu-equation-of-state-example">Bulk Cu equation of state example</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#a-clustering-example">A clustering example</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#clustering-individual-atoms">Clustering individual atoms</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#a-simple-vector-search-example">A simple vector search example</a></li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="working-with-embeddings">
+<h1>Working with embeddings<a class="headerlink" href="#working-with-embeddings" title="Link to this heading">#</a></h1>
+<p>OCP works by computing an <em>embedding</em>, aka a high dimensional vector representation of the local environment around each atom that the atomic energy is linear in. If two atoms have a similar embedding, then they have similar atomic energies and forces. We can use these embeddings for a variety of applications. For example, in</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>Yang, Y., Liu, M., &amp; Kitchin, J. R. (2022). Neural network embeddings based similarity search method for atomistic systems. Digital Discovery, 1(5), 636–644. http://dx.doi.org/10.1039/d2dd00055e
+</pre></div>
+</div>
+<p>We used them to search for similar atomic structures.</p>
+<p>We can use them for diagnostic purposes, or clustering.</p>
+<p>In this example, we patch the GemNetOC model to save the embeddings so you can easily access them. This requires two changes. The first is in the GemNetOC model where the embeddings are saved, and the second is in the OCPCalculator to retrieve them.</p>
+<p>We provide 5 different kinds of embeddings:</p>
+<ol class="arabic simple">
+<li><p>‘h’ - This is an early block in the embedding calculation. You get the h-embedding for each atom</p></li>
+<li><p>‘h sum’ - This is an early block in the embedding calculation. You get the h-embedding summed over each atom</p></li>
+<li><p>‘x_E’ - The atomic energy is linear in this, returned for each atom</p></li>
+<li><p>‘x_E sum’ - summed over atoms</p></li>
+<li><p>‘x_F sum’ - This is related to the forces</p></li>
+</ol>
+<p>In principle other models could be adapted in a similar way. See <a class="reference internal" href="#./embedding-monkeypatch.py"><span class="xref myst">embedding-monkeypatch.py</span></a> for details on the patch. We simply load the module to monkeypatch GemNet-OC.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">embedding_monkeypatch</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>The OCP project is still under active development, and it is not yet clear what the best way to access these embeddings are, so this code is not yet part of the main development branch. This code was adapted from a branch at https://github.com/FAIR-Chem/fairchem/blob/gnoc-embeddings.</p>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="a-diagnostic-example">
+<h1>A diagnostic example<a class="headerlink" href="#a-diagnostic-example" title="Link to this heading">#</a></h1>
+<p>Here we will look at an equation of state for bulk fcc Cu.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase</span><span class="w"> </span><span class="kn">import</span> <span class="n">Atom</span><span class="p">,</span> <span class="n">Atoms</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%capture</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EFS-OC20+OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<section id="bulk-cu-equation-of-state-example">
+<h2>Bulk Cu equation of state example<a class="headerlink" href="#bulk-cu-equation-of-state-example" title="Link to this heading">#</a></h2>
+<p>Here we simply compute an equation of state by varying the lattice constant. You will see a small unphysical feature near 3.7 angstroms. We will investigate why that happens.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#calc.trainer._unwrapped_model.return_embedding = False</span>
+<span class="n">a0</span> <span class="o">=</span> <span class="mf">3.63</span>
+<span class="n">E</span> <span class="o">=</span> <span class="p">[]</span>
+
+<span class="n">LC</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mf">0.95</span> <span class="o">*</span> <span class="n">a0</span><span class="p">,</span> <span class="mf">1.05</span> <span class="o">*</span> <span class="n">a0</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
+
+<span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">LC</span><span class="p">:</span>
+    <span class="n">atoms</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">([</span><span class="n">Atom</span><span class="p">(</span><span class="s1">&#39;Cu&#39;</span><span class="p">,</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))],</span>
+                  <span class="n">cell</span><span class="o">=</span><span class="mf">0.5</span> <span class="o">*</span> <span class="n">a</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">],</span>
+                                           <span class="p">[</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">],</span>
+                                           <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">]]),</span>
+                 <span class="n">pbc</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">atoms</span> <span class="o">=</span> <span class="n">atoms</span><span class="o">.</span><span class="n">repeat</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+    <span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>
+    <span class="n">atoms</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+    <span class="n">E</span> <span class="o">+=</span> <span class="p">[</span><span class="n">atoms</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">()]</span>
+    
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">LC</span><span class="p">,</span> <span class="n">E</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Lattice constant (A)&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Energy (eV)&#39;</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_5683/147314410.py:15: FutureWarning: Please use atoms.calc = calc
+  atoms.set_calculator(calc)
+</pre></div>
+</div>
+<img alt="../../_images/c8f2809e3879797510f9370dd08bfcdec3870051d28f2940fc0284a0ad7ee453.png" src="../../_images/c8f2809e3879797510f9370dd08bfcdec3870051d28f2940fc0284a0ad7ee453.png" />
+</div>
+</div>
+<p>Something is a little off in this equation of state, there is an unphysical bump in it. We now rerun this and get the embeddings. You simply call the <code class="docutils literal notranslate"><span class="pre">calc.embed</span></code> method. We need a reference configuration to compare too. We choose a lattice constant of 3.63 angstroms and compute three different embeddings.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">a0</span> <span class="o">=</span> <span class="mf">3.63</span>
+<span class="n">atoms</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">([</span><span class="n">Atom</span><span class="p">(</span><span class="s1">&#39;Cu&#39;</span><span class="p">,</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))],</span>
+               <span class="n">cell</span><span class="o">=</span><span class="mf">0.5</span> <span class="o">*</span> <span class="n">a0</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">],</span>
+                                          <span class="p">[</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">],</span>
+                                          <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">]]),</span>
+            <span class="n">pbc</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">atoms</span> <span class="o">=</span> <span class="n">atoms</span><span class="o">.</span><span class="n">repeat</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>
+<span class="n">atoms</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+
+<span class="n">out</span> <span class="o">=</span> <span class="n">calc</span><span class="o">.</span><span class="n">embed</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
+
+<span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">x3</span> <span class="o">=</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;h sum&#39;</span><span class="p">],</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;x_E sum&#39;</span><span class="p">],</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;x_F sum&#39;</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Next, we loop over a grid of lattice constants, and we compare the cosine similarity of the embeddings for each one to the reference embeddings above. A similarity of 1 means they are the same, and as the similarity decreases it means the embbedings are more and more different (and so is the energy).</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">torch</span>
+
+<span class="n">E</span> <span class="o">=</span> <span class="p">[]</span>
+
+<span class="n">LC</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mf">0.95</span> <span class="o">*</span> <span class="n">a0</span><span class="p">,</span> <span class="mf">1.05</span> <span class="o">*</span> <span class="n">a0</span><span class="p">,</span> <span class="mi">200</span><span class="p">)</span>
+<span class="n">cossim1</span><span class="p">,</span> <span class="n">cossim2</span><span class="p">,</span> <span class="n">cossim3</span> <span class="o">=</span> <span class="p">[],</span> <span class="p">[],</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">LC</span><span class="p">:</span>
+    <span class="n">atoms</span> <span class="o">=</span> <span class="n">Atoms</span><span class="p">([</span><span class="n">Atom</span><span class="p">(</span><span class="s1">&#39;Cu&#39;</span><span class="p">,</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))],</span>
+                  <span class="n">cell</span><span class="o">=</span><span class="mf">0.5</span> <span class="o">*</span> <span class="n">a</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">],</span>
+                                           <span class="p">[</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">],</span>
+                                           <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">]]),</span>
+                 <span class="n">pbc</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">atoms</span> <span class="o">=</span> <span class="n">atoms</span><span class="o">.</span><span class="n">repeat</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+    <span class="n">atoms</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">atoms</span><span class="p">)))</span>
+
+    <span class="n">out</span> <span class="o">=</span> <span class="n">calc</span><span class="o">.</span><span class="n">embed</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
+    
+    <span class="n">cossim1</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">cosine_similarity</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">out</span><span class="p">[</span><span class="s2">&quot;h sum&quot;</span><span class="p">])</span><span class="o">.</span><span class="n">item</span><span class="p">())</span>
+    <span class="n">cossim2</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">cosine_similarity</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">out</span><span class="p">[</span><span class="s2">&quot;x_E sum&quot;</span><span class="p">])</span><span class="o">.</span><span class="n">item</span><span class="p">())</span>
+    <span class="n">cossim3</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">cosine_similarity</span><span class="p">(</span><span class="n">x3</span><span class="p">,</span> <span class="n">out</span><span class="p">[</span><span class="s2">&quot;x_F sum&quot;</span><span class="p">])</span><span class="o">.</span><span class="n">item</span><span class="p">())</span>
+    <span class="n">E</span> <span class="o">+=</span> <span class="p">[</span><span class="n">out</span><span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">]]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Now we plot the results.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">_</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>    
+
+<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">LC</span><span class="p">,</span> <span class="n">E</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;Energy (eV)&#39;</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">LC</span><span class="p">,</span> <span class="n">cossim1</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;h&quot;</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">LC</span><span class="p">,</span> <span class="n">cossim2</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;x_E&quot;</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">LC</span><span class="p">,</span> <span class="n">cossim3</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;x_F&quot;</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">axvline</span><span class="p">(</span><span class="mf">3.63</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">ls</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+
+
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Lattice constant ($\AA$)&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Similarity to LC=</span><span class="si">{</span><span class="n">a0</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../../_images/3b69a3734c5e11e6ad6e54fb4c3a5966ff0e8c0909ef58d4d33ed2f9982b2637.png" src="../../_images/3b69a3734c5e11e6ad6e54fb4c3a5966ff0e8c0909ef58d4d33ed2f9982b2637.png" />
+</div>
+</div>
+<p>We can see that near the minimum the different embeddings are all quite similar. But, near the unphysical peak, the x_E embedding shows a significant deviation. The atomic energy is linear in this embedding, which is why we see the peak. This means the embedding is not sufficiently trained in this region, and fine-tuning should be considered with data in that region.</p>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="a-clustering-example">
+<h1>A clustering example<a class="headerlink" href="#a-clustering-example" title="Link to this heading">#</a></h1>
+<p>We use this example to show that we can cluster structures by embedding similarities. We compute 20 configurations of an octahedral nanoparticle, and 20 configurations of a bulk Cu structure. We accumulate these into a list of vectors. We use 20 configurations from the nanoparticle, and 40 configurations for the bulk. That will make it easy to see which clusters are which later.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">bulk</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.cluster</span><span class="w"> </span><span class="kn">import</span> <span class="n">Octahedron</span>
+
+<span class="n">calc</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">_unwrapped_model</span><span class="o">.</span><span class="n">return_embedding</span> <span class="o">=</span> <span class="kc">True</span>
+
+<span class="n">embeddings</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="p">[]</span>
+
+<span class="nb">oct</span> <span class="o">=</span> <span class="n">Octahedron</span><span class="p">(</span><span class="s1">&#39;Cu&#39;</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+<span class="nb">oct</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="nb">oct</span><span class="p">)))</span>
+
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">20</span><span class="p">):</span>
+    <span class="nb">oct</span><span class="o">.</span><span class="n">rattle</span><span class="p">(</span><span class="mf">0.01</span><span class="p">)</span>
+    <span class="n">embeddings</span> <span class="o">+=</span> <span class="p">[</span><span class="n">calc</span><span class="o">.</span><span class="n">embed</span><span class="p">(</span><span class="nb">oct</span><span class="p">)[</span><span class="s1">&#39;x_E sum&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">numpy</span><span class="p">()]</span>
+    <span class="n">labels</span> <span class="o">+=</span> <span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">b</span> <span class="o">=</span> <span class="n">bulk</span><span class="p">(</span><span class="s1">&#39;Cu&#39;</span><span class="p">)</span>
+<span class="n">b</span> <span class="o">=</span> <span class="n">b</span><span class="o">.</span><span class="n">repeat</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+<span class="n">b</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">b</span><span class="p">)))</span>
+
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">40</span><span class="p">):</span>
+    <span class="n">b</span><span class="o">.</span><span class="n">rattle</span><span class="p">(</span><span class="mf">0.01</span><span class="p">)</span>
+    <span class="n">embeddings</span> <span class="o">+=</span> <span class="p">[</span><span class="n">calc</span><span class="o">.</span><span class="n">embed</span><span class="p">(</span><span class="n">b</span><span class="p">)[</span><span class="s1">&#39;x_E sum&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">numpy</span><span class="p">()]</span>
+    <span class="n">labels</span> <span class="o">+=</span> <span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">embeddings</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">embeddings</span><span class="p">)</span>
+<span class="n">embeddings</span><span class="o">.</span><span class="n">shape</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(60, 256)
+</pre></div>
+</div>
+</div>
+</div>
+<p>Now we use a tool like umap. This will take the 40 vectors with 256 dimensions each, and reduce these to two dimennsions where similar embeddings remain close together. You should see two clusters. The one labeled 1 with 40 points is the bulk set.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">umap</span>
+
+<span class="n">um</span> <span class="o">=</span> <span class="n">umap</span><span class="o">.</span><span class="n">UMAP</span><span class="p">(</span><span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">embeddings</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
+  from .autonotebook import tqdm as notebook_tqdm
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/sklearn/utils/deprecation.py:151: FutureWarning: &#39;force_all_finite&#39; was renamed to &#39;ensure_all_finite&#39; in 1.6 and will be removed in 1.8.
+  warnings.warn(
+/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.
+  warn(
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="o">*</span><span class="n">um</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="n">labels</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;Spectral&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../../_images/20e51e43610030e8c5d20e48599c38bb86cbf45a214c5591c38385a6d7dc519e.png" src="../../_images/20e51e43610030e8c5d20e48599c38bb86cbf45a214c5591c38385a6d7dc519e.png" />
+</div>
+</div>
+<section id="clustering-individual-atoms">
+<h2>Clustering individual atoms<a class="headerlink" href="#clustering-individual-atoms" title="Link to this heading">#</a></h2>
+<p>If we get the atomic embeddings, we can cluster them by similarity too. Here we look at how many kinds of atoms there are in an Octahedron cluster and bulk system. We color code the clusters by the atomic energy of each atom.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">embeddings</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="n">energies</span> <span class="o">=</span> <span class="p">[]</span>
+
+<span class="nb">oct</span> <span class="o">=</span> <span class="n">Octahedron</span><span class="p">(</span><span class="s1">&#39;Cu&#39;</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+<span class="nb">oct</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="nb">oct</span><span class="p">)))</span>
+
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">20</span><span class="p">):</span>
+    <span class="nb">oct</span><span class="o">.</span><span class="n">rattle</span><span class="p">(</span><span class="mf">0.01</span><span class="p">)</span>
+    <span class="n">out</span> <span class="o">=</span> <span class="n">calc</span><span class="o">.</span><span class="n">embed</span><span class="p">(</span><span class="nb">oct</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;h&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">]:</span>
+        <span class="n">embeddings</span> <span class="o">+=</span> <span class="p">[</span><span class="n">a</span><span class="o">.</span><span class="n">numpy</span><span class="p">()]</span>
+        <span class="n">labels</span> <span class="o">+=</span> <span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="n">energies</span> <span class="o">+=</span> <span class="p">[</span><span class="n">out</span><span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">]]</span>
+
+<span class="n">b</span> <span class="o">=</span> <span class="n">bulk</span><span class="p">(</span><span class="s1">&#39;Cu&#39;</span><span class="p">)</span>
+<span class="n">b</span> <span class="o">=</span> <span class="n">b</span><span class="o">.</span><span class="n">repeat</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+<span class="n">b</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">b</span><span class="p">)))</span>
+
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">20</span><span class="p">):</span>
+    <span class="n">b</span><span class="o">.</span><span class="n">rattle</span><span class="p">(</span><span class="mf">0.01</span><span class="p">)</span>
+    <span class="n">out</span> <span class="o">=</span> <span class="n">calc</span><span class="o">.</span><span class="n">embed</span><span class="p">(</span><span class="n">b</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;h&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">]:</span>
+        <span class="n">embeddings</span> <span class="o">+=</span> <span class="p">[</span><span class="n">a</span><span class="o">.</span><span class="n">numpy</span><span class="p">()]</span>
+        <span class="n">labels</span> <span class="o">+=</span> <span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">energies</span> <span class="o">+=</span> <span class="p">[</span><span class="n">out</span><span class="p">[</span><span class="s1">&#39;energy&#39;</span><span class="p">]]</span>
+        
+<span class="n">embeddings</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">embeddings</span><span class="p">)</span>
+
+<span class="n">um</span> <span class="o">=</span> <span class="n">umap</span><span class="o">.</span><span class="n">UMAP</span><span class="p">(</span><span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">embeddings</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="o">*</span><span class="n">um</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="n">energies</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;Spectral&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/sklearn/utils/deprecation.py:151: FutureWarning: &#39;force_all_finite&#39; was renamed to &#39;ensure_all_finite&#39; in 1.6 and will be removed in 1.8.
+  warnings.warn(
+/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.
+  warn(
+</pre></div>
+</div>
+<img alt="../../_images/834c598550915ce1c2b8822e1723a78476b6c89b40132c721d0b584b6381d0c0.png" src="../../_images/834c598550915ce1c2b8822e1723a78476b6c89b40132c721d0b584b6381d0c0.png" />
+</div>
+</div>
+<p>You can see from this there are roughly three kinds of atoms. One is bulk like, with the lowest energy (the dark red points), the second is also lower in energy (the reddish-orange points), and the others are surface atoms, with higher energies (the bluish points).</p>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="a-simple-vector-search-example">
+<h1>A simple vector search example<a class="headerlink" href="#a-simple-vector-search-example" title="Link to this heading">#</a></h1>
+<p>In this example we perform a simple vector search in the embedding space. We use <a class="reference external" href="https://github.com/whitead/vdict">vdict</a> for the vector database here.</p>
+<p>Our database is very small, it only contains embeddings for ethanol and ethane. After we make it, we search the database to find the atom that is closest to the C atom in methanol.</p>
+<p>Note in this example, we have to tag all the atoms with 1 for GemnetOC to work.</p>
+<p>Here we set up the simple database. Each row, or entry, is the actual embedding vector for an atom. That is the key that points to the atom index and the atoms object. I use cosine similarity here. If you use the default (l2) then you may not find anything close enough.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.build</span><span class="w"> </span><span class="kn">import</span> <span class="n">molecule</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">vdict</span><span class="w"> </span><span class="kn">import</span> <span class="n">vdict</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">vdict</span><span class="p">(</span><span class="n">space</span><span class="o">=</span><span class="s1">&#39;cosine&#39;</span><span class="p">)</span>
+
+<span class="n">ethanol</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s1">&#39;CH3CH2OH&#39;</span><span class="p">)</span>
+<span class="n">ethanol</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">ethanol</span><span class="p">)))</span>
+<span class="n">ethanol_emb</span> <span class="o">=</span> <span class="n">calc</span><span class="o">.</span><span class="n">embed</span><span class="p">(</span><span class="n">ethanol</span><span class="p">)</span>
+
+<span class="n">methane</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s1">&#39;C2H6&#39;</span><span class="p">)</span>
+<span class="n">methane</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">methane</span><span class="p">)))</span>
+<span class="n">methane_emb</span> <span class="o">=</span> <span class="n">calc</span><span class="o">.</span><span class="n">embed</span><span class="p">(</span><span class="n">methane</span><span class="p">)</span>
+
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">atom</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">ethanol</span><span class="p">):</span>
+    <span class="n">data</span><span class="p">[</span><span class="n">ethanol_emb</span><span class="p">[</span><span class="s1">&#39;x_E&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">][</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">numpy</span><span class="p">()]</span> <span class="o">=</span> <span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">ethanol</span><span class="p">]</span>
+    
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">atom</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">methane</span><span class="p">):</span>
+    <span class="n">data</span><span class="p">[</span><span class="n">methane_emb</span><span class="p">[</span><span class="s1">&#39;x_E&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">][</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">numpy</span><span class="p">()]</span> <span class="o">=</span> <span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">methane</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Now we construct our “query”. We inspect the Atoms object, see that the C atom is the first one, and then extract the embedding for that atom and save it in a variable.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">methanol</span> <span class="o">=</span> <span class="n">molecule</span><span class="p">(</span><span class="s1">&#39;CH3OH&#39;</span><span class="p">)</span>
+<span class="n">methanol</span><span class="o">.</span><span class="n">set_tags</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">methanol</span><span class="p">)))</span>
+<span class="n">methanol_emb</span> <span class="o">=</span> <span class="n">calc</span><span class="o">.</span><span class="n">embed</span><span class="p">(</span><span class="n">methanol</span><span class="p">)</span>
+<span class="n">methanol</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Atoms(symbols=&#39;COH4&#39;, pbc=False, tags=...)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">query</span> <span class="o">=</span> <span class="n">methanol_emb</span><span class="p">[</span><span class="s1">&#39;x_E&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>We run our search with the syntax like a dictionary. It returns the closest found match.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">i</span><span class="p">,</span> <span class="n">found</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">query</span><span class="p">]</span>
+<span class="n">i</span><span class="p">,</span> <span class="n">found</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(1, Atom(&#39;C&#39;, [0.0, 0.559462, 0.0], tag=1, index=1))
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">ind</span><span class="p">,</span> <span class="n">atom</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">found</span><span class="p">):</span>
+    <span class="nb">print</span><span class="p">(</span><span class="n">ind</span><span class="p">,</span> <span class="n">atom</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0 Atom(&#39;C&#39;, [1.168181, -0.400382, 0.0], tag=1, index=0)
+1 Atom(&#39;C&#39;, [0.0, 0.559462, 0.0], tag=1, index=1)
+2 Atom(&#39;O&#39;, [-1.190083, -0.227669, 0.0], tag=1, index=2)
+3 Atom(&#39;H&#39;, [-1.946623, 0.381525, 0.0], tag=1, index=3)
+4 Atom(&#39;H&#39;, [0.042557, 1.207508, 0.886933], tag=1, index=4)
+5 Atom(&#39;H&#39;, [0.042557, 1.207508, -0.886933], tag=1, index=5)
+6 Atom(&#39;H&#39;, [2.115891, 0.1448, 0.0], tag=1, index=6)
+7 Atom(&#39;H&#39;, [1.128599, -1.037234, 0.885881], tag=1, index=7)
+8 Atom(&#39;H&#39;, [1.128599, -1.037234, -0.885881], tag=1, index=8)
+</pre></div>
+</div>
+</div>
+</div>
+<p>This finds the second carbon in the molecule. That is the one that is closest to the oxygen atom. That means it is more similar to the methanol carbon than the first carbon in ethanol which is a CH3, but it is farther from the oxygen atom.</p>
+<p>This is pretty remarkable! The query had no explicit information about C in it other than the embedding for that atom, and it found another atom that was similar.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">found</span><span class="o">.</span><span class="n">get_distance</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="n">found</span><span class="o">.</span><span class="n">get_distance</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(2.364580062942467, 1.426840130515679)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.visualize.plot</span><span class="w"> </span><span class="kn">import</span> <span class="n">plot_atoms</span>
+<span class="n">plot_atoms</span><span class="p">(</span><span class="n">found</span><span class="p">)</span>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Fine-tuning with Python</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Fine-tuning with Python</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#split-the-data-into-train-test-val-sets">Split the data into train, test, val sets</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#setup-the-training-code">Setup the training code</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#setup-the-training-task">Setup the training task</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#run-the-training-task">Run the training task</a></li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="fine-tuning-with-python">
+<h1>Fine-tuning with Python<a class="headerlink" href="#fine-tuning-with-python" title="Link to this heading">#</a></h1>
+<p>The recommended way to do training is with the <code class="docutils literal notranslate"><span class="pre">main.py</span></code> script in ocp. One of the reasons for that is training often takes a long time and is better suited for queue systems like slurm. However, you can submit Python scripts too, and it is possible to run notebooks in Slurm too. Here we work out a proof of concept in training from Python and a Jupyter notebook.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">logging</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">SeverityLevelBetween</span>
+
+<span class="n">root</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
+
+
+<span class="n">root</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">INFO</span><span class="p">)</span>
+
+<span class="n">log_formatter</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">Formatter</span><span class="p">(</span>
+            <span class="s2">&quot;</span><span class="si">%(asctime)s</span><span class="s2"> (</span><span class="si">%(levelname)s</span><span class="s2">): </span><span class="si">%(message)s</span><span class="s2">&quot;</span><span class="p">,</span>
+            <span class="n">datefmt</span><span class="o">=</span><span class="s2">&quot;%Y-%m-</span><span class="si">%d</span><span class="s2"> %H:%M:%S&quot;</span><span class="p">,)</span>
+
+<span class="c1"># Send INFO to stdout</span>
+<span class="n">handler_out</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">FileHandler</span><span class="p">(</span><span class="s1">&#39;out.txt&#39;</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span>
+<span class="n">handler_out</span><span class="o">.</span><span class="n">addFilter</span><span class="p">(</span>
+            <span class="n">SeverityLevelBetween</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">INFO</span><span class="p">,</span> <span class="n">logging</span><span class="o">.</span><span class="n">WARNING</span><span class="p">)</span>
+        <span class="p">)</span>
+<span class="n">handler_out</span><span class="o">.</span><span class="n">setFormatter</span><span class="p">(</span><span class="n">log_formatter</span><span class="p">)</span>
+<span class="n">root</span><span class="o">.</span><span class="n">addHandler</span><span class="p">(</span><span class="n">handler_out</span><span class="p">)</span>
+
+<span class="c1"># Send WARNING (and higher) to stderr</span>
+<span class="n">handler_err</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">FileHandler</span><span class="p">(</span><span class="s1">&#39;out.txt&#39;</span><span class="p">,</span> <span class="s1">&#39;w+&#39;</span><span class="p">)</span>
+<span class="n">handler_err</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">WARNING</span><span class="p">)</span>
+<span class="n">handler_err</span><span class="o">.</span><span class="n">setFormatter</span><span class="p">(</span><span class="n">log_formatter</span><span class="p">)</span>
+<span class="n">root</span><span class="o">.</span><span class="n">addHandler</span><span class="p">(</span><span class="n">handler_err</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">!</span><span class="w"> </span>ase<span class="w"> </span>db<span class="w"> </span>../../core/fine-tuning/oxides.db
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>id|age|user  |formula|calculator| energy|natoms| fmax|pbc| volume|charge|   mass
+ 1|49m|runner|Sn2O4  |unknown   |-41.359|     6|0.045|TTT| 64.258| 0.000|301.416
+ 2|49m|runner|Sn2O4  |unknown   |-41.853|     6|0.025|TTT| 66.526| 0.000|301.416
+ 3|49m|runner|Sn2O4  |unknown   |-42.199|     6|0.010|TTT| 68.794| 0.000|301.416
+ 4|49m|runner|Sn2O4  |unknown   |-42.419|     6|0.006|TTT| 71.062| 0.000|301.416
+ 5|49m|runner|Sn2O4  |unknown   |-42.534|     6|0.011|TTT| 73.330| 0.000|301.416
+ 6|49m|runner|Sn2O4  |unknown   |-42.562|     6|0.029|TTT| 75.598| 0.000|301.416
+ 7|49m|runner|Sn2O4  |unknown   |-42.518|     6|0.033|TTT| 77.866| 0.000|301.416
+ 8|49m|runner|Sn2O4  |unknown   |-42.415|     6|0.010|TTT| 80.134| 0.000|301.416
+ 9|49m|runner|Sn2O4  |unknown   |-42.266|     6|0.006|TTT| 82.402| 0.000|301.416
+10|49m|runner|Sn2O4  |unknown   |-42.083|     6|0.017|TTT| 84.670| 0.000|301.416
+11|49m|runner|Sn4O8  |unknown   |-81.424|    12|0.012|TTT|117.473| 0.000|602.832
+12|49m|runner|Sn4O8  |unknown   |-82.437|    12|0.005|TTT|121.620| 0.000|602.832
+13|49m|runner|Sn4O8  |unknown   |-83.147|    12|0.015|TTT|125.766| 0.000|602.832
+14|49m|runner|Sn4O8  |unknown   |-83.599|    12|0.047|TTT|129.912| 0.000|602.832
+15|49m|runner|Sn4O8  |unknown   |-83.831|    12|0.081|TTT|134.058| 0.000|602.832
+16|49m|runner|Sn4O8  |unknown   |-83.898|    12|0.001|TTT|138.204| 0.000|602.832
+17|49m|runner|Sn4O8  |unknown   |-83.805|    12|0.001|TTT|142.350| 0.000|602.832
+18|49m|runner|Sn4O8  |unknown   |-83.586|    12|0.002|TTT|146.496| 0.000|602.832
+19|49m|runner|Sn4O8  |unknown   |-83.262|    12|0.002|TTT|150.642| 0.000|602.832
+20|49m|runner|Sn4O8  |unknown   |-82.851|    12|0.013|TTT|154.788| 0.000|602.832
+Rows: 295 (showing first 20)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EFS-OC20+OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">trainer</span><span class="o">=</span><span class="s1">&#39;forces&#39;</span><span class="p">,</span> <span class="n">cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/models/scn/spherical_harmonics.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/equiformer_v2/wigner.py:10: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+/home/runner/work/fairchem/fairchem/src/fairchem/core/models/escn/so3.py:23: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  _Jd = torch.load(os.path.join(os.path.dirname(__file__), &quot;Jd.pt&quot;))
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="split-the-data-into-train-test-val-sets">
+<h1>Split the data into train, test, val sets<a class="headerlink" href="#split-the-data-into-train-test-val-sets" title="Link to this heading">#</a></h1>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">!</span><span class="w"> </span>rm<span class="w"> </span>-fr<span class="w"> </span>train.db<span class="w"> </span>test.db<span class="w"> </span>val.db
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.tutorial_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">train_test_val_split</span>
+
+<span class="n">train</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">val</span> <span class="o">=</span> <span class="n">train_test_val_split</span><span class="p">(</span><span class="s1">&#39;../../core/fine-tuning/oxides.db&#39;</span><span class="p">)</span>
+<span class="n">train</span><span class="p">,</span> <span class="n">test</span><span class="p">,</span> <span class="n">val</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(PosixPath(&#39;/home/runner/work/fairchem/fairchem/docs/tutorials/advanced/train.db&#39;),
+ PosixPath(&#39;/home/runner/work/fairchem/fairchem/docs/tutorials/advanced/test.db&#39;),
+ PosixPath(&#39;/home/runner/work/fairchem/fairchem/docs/tutorials/advanced/val.db&#39;))
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="setup-the-training-code">
+<h1>Setup the training code<a class="headerlink" href="#setup-the-training-code" title="Link to this heading">#</a></h1>
+<p>We start by making the config.yml. We build this from the calculator checkpoint.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.tutorial_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">generate_yml_config</span>
+
+<span class="n">yml</span> <span class="o">=</span> <span class="n">generate_yml_config</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="p">,</span> <span class="s1">&#39;config.yml&#39;</span><span class="p">,</span>
+                   <span class="n">delete</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;slurm&#39;</span><span class="p">,</span> <span class="s1">&#39;cmd&#39;</span><span class="p">,</span> <span class="s1">&#39;logger&#39;</span><span class="p">,</span> <span class="s1">&#39;task&#39;</span><span class="p">,</span> <span class="s1">&#39;model_attributes&#39;</span><span class="p">,</span><span class="s1">&#39;optim.load_balancing&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.loss_force&#39;</span><span class="p">,</span> <span class="c1"># the checkpoint setting causes an error</span>
+                           <span class="s1">&#39;dataset&#39;</span><span class="p">,</span> <span class="s1">&#39;test_dataset&#39;</span><span class="p">,</span> <span class="s1">&#39;val_dataset&#39;</span><span class="p">],</span>
+                   <span class="n">update</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;gpus&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.eval_every&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.max_epochs&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.batch_size&#39;</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span>
+                           <span class="s1">&#39;logger&#39;</span><span class="p">:</span> <span class="s1">&#39;tensorboard&#39;</span><span class="p">,</span> <span class="c1"># don&#39;t use wandb unless you already are logged in</span>
+                           <span class="c1"># Train data</span>
+                           <span class="s1">&#39;dataset.train.src&#39;</span><span class="p">:</span> <span class="s1">&#39;train.db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.train.format&#39;</span><span class="p">:</span> <span class="s1">&#39;ase_db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.train.a2g_args.r_energy&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.train.a2g_args.r_forces&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+                            <span class="c1"># Test data - prediction only so no regression</span>
+                           <span class="s1">&#39;dataset.test.src&#39;</span><span class="p">:</span> <span class="s1">&#39;test.db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.format&#39;</span><span class="p">:</span> <span class="s1">&#39;ase_db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.a2g_args.r_energy&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.test.a2g_args.r_forces&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                           <span class="c1"># val data</span>
+                           <span class="s1">&#39;dataset.val.src&#39;</span><span class="p">:</span> <span class="s1">&#39;val.db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.val.format&#39;</span><span class="p">:</span> <span class="s1">&#39;ase_db&#39;</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.val.a2g_args.r_energy&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+                           <span class="s1">&#39;dataset.val.a2g_args.r_forces&#39;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+                          <span class="p">})</span>
+
+<span class="n">yml</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/common/relaxation/ase_utils.py:191: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=torch.device(&quot;cpu&quot;))
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>PosixPath(&#39;/home/runner/work/fairchem/fairchem/docs/tutorials/advanced/config.yml&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<section id="setup-the-training-task">
+<h2>Setup the training task<a class="headerlink" href="#setup-the-training-task" title="Link to this heading">#</a></h2>
+<p>This essentially allows several opportunities to define and override the config. You start with the base config.yml, and then via “command-line” arguments you specify changes you want to make.</p>
+<p>The code is build around <code class="docutils literal notranslate"><span class="pre">submitit</span></code>, which is often used with Slurm, but also works locally.</p>
+<p>We have to mimic the <code class="docutils literal notranslate"><span class="pre">main.py</span></code> setup to get the arguments and config setup. Here is a minimal way to do this.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.flags</span><span class="w"> </span><span class="kn">import</span> <span class="n">flags</span>
+<span class="n">parser</span> <span class="o">=</span> <span class="n">flags</span><span class="o">.</span><span class="n">get_parser</span><span class="p">()</span>
+<span class="n">args</span><span class="p">,</span> <span class="n">args_override</span> <span class="o">=</span> <span class="n">parser</span><span class="o">.</span><span class="n">parse_known_args</span><span class="p">([</span><span class="s2">&quot;--mode=train&quot;</span><span class="p">,</span>
+                                               <span class="s2">&quot;--config-yml=config.yml&quot;</span><span class="p">,</span>
+                                               <span class="sa">f</span><span class="s2">&quot;--checkpoint=</span><span class="si">{</span><span class="n">checkpoint_path</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span>
+                                               <span class="s2">&quot;--cpu&quot;</span><span class="p">])</span>
+<span class="n">args</span><span class="p">,</span> <span class="n">args_override</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(Namespace(mode=&#39;train&#39;, config_yml=PosixPath(&#39;config.yml&#39;), identifier=&#39;&#39;, debug=False, run_dir=&#39;/home/runner/work/fairchem/fairchem/docs/tutorials/advanced&#39;, print_every=10, seed=0, amp=False, checkpoint=&#39;/tmp/fairchem_checkpoints/gnoc_oc22_oc20_all_s2ef.pt&#39;, timestamp_id=None, sweep_yml=None, submit=False, summit=False, logdir=PosixPath(&#39;logs&#39;), slurm_partition=None, slurm_account=None, slurm_qos=None, slurm_mem=80, slurm_timeout=72, num_gpus=1, cpu=True, hydra=False, num_nodes=1, gp_gpus=None),
+ [])
+</pre></div>
+</div>
+</div>
+</div>
+<p>Next, we build the first stage in our config. This starts with the file config.yml, then updates it with the args</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">build_config</span><span class="p">,</span> <span class="n">new_trainer_context</span>
+
+<span class="n">config</span> <span class="o">=</span> <span class="n">build_config</span><span class="p">(</span><span class="n">args</span><span class="o">=</span><span class="n">args</span><span class="p">,</span> <span class="n">args_override</span><span class="o">=</span><span class="p">{})</span>
+<span class="n">config</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;amp&#39;: False,
+ &#39;checkpoint&#39;: &#39;/tmp/fairchem_checkpoints/gnoc_oc22_oc20_all_s2ef.pt&#39;,
+ &#39;dataset&#39;: {&#39;test&#39;: {&#39;a2g_args&#39;: {&#39;r_energy&#39;: False, &#39;r_forces&#39;: False},
+   &#39;format&#39;: &#39;ase_db&#39;,
+   &#39;src&#39;: &#39;test.db&#39;},
+  &#39;train&#39;: {&#39;a2g_args&#39;: {&#39;r_energy&#39;: True, &#39;r_forces&#39;: True},
+   &#39;format&#39;: &#39;ase_db&#39;,
+   &#39;src&#39;: &#39;train.db&#39;},
+  &#39;val&#39;: {&#39;a2g_args&#39;: {&#39;r_energy&#39;: True, &#39;r_forces&#39;: True},
+   &#39;format&#39;: &#39;ase_db&#39;,
+   &#39;src&#39;: &#39;val.db&#39;}},
+ &#39;evaluation_metrics&#39;: {&#39;metrics&#39;: {&#39;energy&#39;: [&#39;mae&#39;],
+   &#39;forces&#39;: [&#39;forcesx_mae&#39;,
+    &#39;forcesy_mae&#39;,
+    &#39;forcesz_mae&#39;,
+    &#39;mae&#39;,
+    &#39;cosine_similarity&#39;,
+    &#39;magnitude_error&#39;],
+   &#39;misc&#39;: [&#39;energy_forces_within_threshold&#39;]},
+  &#39;primary_metric&#39;: &#39;forces_mae&#39;},
+ &#39;gpus&#39;: 1,
+ &#39;logger&#39;: &#39;tensorboard&#39;,
+ &#39;loss_functions&#39;: [{&#39;energy&#39;: {&#39;coefficient&#39;: 1, &#39;fn&#39;: &#39;mae&#39;}},
+  {&#39;forces&#39;: {&#39;coefficient&#39;: 1, &#39;fn&#39;: &#39;l2mae&#39;}}],
+ &#39;model&#39;: {&#39;activation&#39;: &#39;silu&#39;,
+  &#39;atom_edge_interaction&#39;: True,
+  &#39;atom_interaction&#39;: True,
+  &#39;cbf&#39;: {&#39;name&#39;: &#39;spherical_harmonics&#39;},
+  &#39;cutoff&#39;: 12.0,
+  &#39;cutoff_aeaint&#39;: 12.0,
+  &#39;cutoff_aint&#39;: 12.0,
+  &#39;cutoff_qint&#39;: 12.0,
+  &#39;direct_forces&#39;: True,
+  &#39;edge_atom_interaction&#39;: True,
+  &#39;emb_size_aint_in&#39;: 64,
+  &#39;emb_size_aint_out&#39;: 64,
+  &#39;emb_size_atom&#39;: 256,
+  &#39;emb_size_cbf&#39;: 16,
+  &#39;emb_size_edge&#39;: 512,
+  &#39;emb_size_quad_in&#39;: 32,
+  &#39;emb_size_quad_out&#39;: 32,
+  &#39;emb_size_rbf&#39;: 16,
+  &#39;emb_size_sbf&#39;: 32,
+  &#39;emb_size_trip_in&#39;: 64,
+  &#39;emb_size_trip_out&#39;: 64,
+  &#39;envelope&#39;: {&#39;exponent&#39;: 5, &#39;name&#39;: &#39;polynomial&#39;},
+  &#39;extensive&#39;: True,
+  &#39;forces_coupled&#39;: False,
+  &#39;max_neighbors&#39;: 30,
+  &#39;max_neighbors_aeaint&#39;: 20,
+  &#39;max_neighbors_aint&#39;: 1000,
+  &#39;max_neighbors_qint&#39;: 8,
+  &#39;name&#39;: &#39;gemnet_oc&#39;,
+  &#39;num_after_skip&#39;: 2,
+  &#39;num_atom&#39;: 3,
+  &#39;num_atom_emb_layers&#39;: 2,
+  &#39;num_before_skip&#39;: 2,
+  &#39;num_blocks&#39;: 4,
+  &#39;num_concat&#39;: 1,
+  &#39;num_global_out_layers&#39;: 2,
+  &#39;num_output_afteratom&#39;: 3,
+  &#39;num_radial&#39;: 128,
+  &#39;num_spherical&#39;: 7,
+  &#39;otf_graph&#39;: True,
+  &#39;output_init&#39;: &#39;HeOrthogonal&#39;,
+  &#39;qint_tags&#39;: [1, 2],
+  &#39;quad_interaction&#39;: True,
+  &#39;rbf&#39;: {&#39;name&#39;: &#39;gaussian&#39;},
+  &#39;regress_forces&#39;: True,
+  &#39;sbf&#39;: {&#39;name&#39;: &#39;legendre_outer&#39;},
+  &#39;symmetric_edge_symmetrization&#39;: False},
+ &#39;noddp&#39;: False,
+ &#39;optim&#39;: {&#39;batch_size&#39;: 4,
+  &#39;clip_grad_norm&#39;: 10,
+  &#39;ema_decay&#39;: 0.999,
+  &#39;energy_coefficient&#39;: 1,
+  &#39;eval_batch_size&#39;: 16,
+  &#39;eval_every&#39;: 10,
+  &#39;factor&#39;: 0.8,
+  &#39;force_coefficient&#39;: 1,
+  &#39;loss_energy&#39;: &#39;mae&#39;,
+  &#39;lr_initial&#39;: 0.0005,
+  &#39;max_epochs&#39;: 1,
+  &#39;mode&#39;: &#39;min&#39;,
+  &#39;num_workers&#39;: 2,
+  &#39;optimizer&#39;: &#39;AdamW&#39;,
+  &#39;optimizer_params&#39;: {&#39;amsgrad&#39;: True},
+  &#39;patience&#39;: 3,
+  &#39;scheduler&#39;: &#39;ReduceLROnPlateau&#39;,
+  &#39;weight_decay&#39;: 0},
+ &#39;outputs&#39;: {&#39;energy&#39;: {&#39;level&#39;: &#39;system&#39;},
+  &#39;forces&#39;: {&#39;eval_on_free_atoms&#39;: True,
+   &#39;level&#39;: &#39;atom&#39;,
+   &#39;train_on_free_atoms&#39;: True}},
+ &#39;trainer&#39;: &#39;ocp&#39;,
+ &#39;mode&#39;: &#39;train&#39;,
+ &#39;identifier&#39;: &#39;&#39;,
+ &#39;timestamp_id&#39;: None,
+ &#39;seed&#39;: 0,
+ &#39;is_debug&#39;: False,
+ &#39;run_dir&#39;: &#39;/home/runner/work/fairchem/fairchem/docs/tutorials/advanced&#39;,
+ &#39;print_every&#39;: 10,
+ &#39;cpu&#39;: True,
+ &#39;submit&#39;: False,
+ &#39;summit&#39;: False,
+ &#39;world_size&#39;: 1,
+ &#39;distributed_backend&#39;: &#39;gloo&#39;,
+ &#39;gp_gpus&#39;: None}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section class="tex2jax_ignore mathjax_ignore" id="run-the-training-task">
+<h1>Run the training task<a class="headerlink" href="#run-the-training-task" title="Link to this heading">#</a></h1>
+<p>It is still annoying that if your output is too large the notebook will not be able to be saved. On the other hand, it is annoying to simply capture the output.</p>
+<p>We are able to redirect most logging to a file above, but not all of it. The link below will open the file in a browser, and the subsequent cell captures all residual output. We do not need any of that, so it is ultimately discarded.</p>
+<p>Alternatively, you can open a Terminal and use <code class="docutils literal notranslate"><span class="pre">tail</span> <span class="pre">-f</span> <span class="pre">out.txt</span></code> to see the progress.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">IPython.display</span><span class="w"> </span><span class="kn">import</span> <span class="n">display</span><span class="p">,</span> <span class="n">FileLink</span>
+<span class="n">display</span><span class="p">(</span><span class="n">FileLink</span><span class="p">(</span><span class="s1">&#39;out.txt&#39;</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><a href='out.txt' target='_blank'>out.txt</a><br></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="n">new_trainer_context</span><span class="p">(</span><span class="n">config</span><span class="o">=</span><span class="n">config</span><span class="p">)</span> <span class="k">as</span> <span class="n">ctx</span><span class="p">:</span>
+    <span class="n">config</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">config</span>
+    <span class="n">task</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">task</span>
+    <span class="n">trainer</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">trainer</span>
+    <span class="n">task</span><span class="o">.</span><span class="n">setup</span><span class="p">(</span><span class="n">trainer</span><span class="p">)</span>
+    <span class="n">task</span><span class="o">.</span><span class="n">run</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/fairchem/fairchem/src/fairchem/core/trainers/base_trainer.py:607: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint = torch.load(checkpoint_path, map_location=map_location)
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.53s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.24s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.32s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.27s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.63s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.78s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.52s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.32s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.40s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.40s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.63s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.81s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.66s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.27s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.39s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.38s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.61s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.79s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.46s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.24s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.34s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.34s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.58s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.76s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.59s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.26s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.38s/it]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">!</span><span class="w"> </span>head<span class="w"> </span>out.txt
+<span class="o">!</span><span class="w"> </span>tail<span class="w"> </span>out.txt
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 20:20:39 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2025-01-21 20:20:39 (WARNING): Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+2025-01-21 20:20:41 (WARNING): No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+2025-01-21 20:20:42 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2025-01-21 20:20:42 (WARNING): Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+2025-01-21 20:20:44 (WARNING): No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+2025-01-21 20:20:45 (WARNING): Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+2025-01-21 20:20:47 (WARNING): log_summary for Tensorboard not supported
+2025-01-21 20:20:47 (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;train.db&#39;)]&#39;
+2025-01-21 20:20:47 (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-21 20:20:47 (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;train.db&#39;)]&#39;
+2025-01-21 20:20:47 (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+2025-01-21 20:20:47 (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+2025-01-21 20:20:47 (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;val.db&#39;)]&#39;
+2025-01-21 20:20:47 (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+2025-01-21 20:20:47 (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+2025-01-21 20:20:47 (WARNING): Could not find dataset metadata.npz files in &#39;[PosixPath(&#39;test.db&#39;)]&#39;
+2025-01-21 20:20:47 (WARNING): Disabled BalancedBatchSampler because num_replicas=1.
+2025-01-21 20:20:47 (WARNING): Failed to get data sizes, falling back to uniform partitioning. BalancedBatchSampler requires a dataset that has a metadata attributed with number of atoms.
+2025-01-21 20:20:47 (WARNING): Using `weight_decay` from `optim` instead of `optim.optimizer_params`.Please update your config to use `optim.optimizer_params.weight_decay`.`optim.weight_decay` will soon be deprecated.
+</pre></div>
+</div>
+</div>
+</div>
+<p>Now, you are all set to carry on with what ever subsequent analysis you want to do.</p>
+</section>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./tutorials/advanced"
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
+    <a class="left-prev"
+       href="advanced_toc.html"
+       title="previous page">
+      <i class="fa-solid fa-angle-left"></i>
+      <div class="prev-next-info">
+        <p class="prev-next-subtitle">previous</p>
+        <p class="prev-next-title">Advanced OCP usage</p>
+      </div>
+    </a>
+    <a class="right-next"
+       href="embeddings.html"
+       title="next page">
+      <div class="prev-next-info">
+        <p class="prev-next-subtitle">next</p>
+        <p class="prev-next-title">Working with embeddings</p>
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+              
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+            
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+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
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+</ul>
+</details></li>
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+</ul>
+</details></li>
+</ul>
+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
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+<li class="toctree-l1"><a class="reference internal" href="../execution_time.html">Notebook execution times</a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>CatTSunami Tutorial</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#do-enumerations-in-an-adsorbml-style">Do enumerations in an AdsorbML style</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#enumerate-nebs">Enumerate NEBs</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#run-nebs">Run NEBs</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#visualize-the-results">Visualize the results</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="cattsunami-tutorial">
+<h1>CatTSunami Tutorial<a class="headerlink" href="#cattsunami-tutorial" title="Link to this heading">#</a></h1>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.applications.cattsunami.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">Reaction</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.data.oc.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">Slab</span><span class="p">,</span> <span class="n">Adsorbate</span><span class="p">,</span> <span class="n">Bulk</span><span class="p">,</span> <span class="n">AdsorbateSlabConfig</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.relaxation.ase_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPCalculator</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">x3dase.visualize</span><span class="w"> </span><span class="kn">import</span> <span class="n">view_x3d_n</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.io</span><span class="w"> </span><span class="kn">import</span> <span class="n">read</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">x3dase.x3d</span><span class="w"> </span><span class="kn">import</span> <span class="n">X3D</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.applications.cattsunami.databases</span><span class="w"> </span><span class="kn">import</span> <span class="n">DISSOCIATION_REACTION_DB_PATH</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.data.oc.databases.pkls</span><span class="w"> </span><span class="kn">import</span> <span class="n">ADSORBATE_PKL_PATH</span><span class="p">,</span> <span class="n">BULK_PKL_PATH</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.applications.cattsunami.core.autoframe</span><span class="w"> </span><span class="kn">import</span> <span class="n">AutoFrameDissociation</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.applications.cattsunami.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPNEB</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.io</span><span class="w"> </span><span class="kn">import</span> <span class="n">read</span>
+
+<span class="c1">#Optional</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">IPython.display</span><span class="w"> </span><span class="kn">import</span> <span class="n">Image</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">x3dase.x3d</span><span class="w"> </span><span class="kn">import</span> <span class="n">X3D</span>
+
+<span class="c1">#Set random seed</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">22</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<section id="do-enumerations-in-an-adsorbml-style">
+<h2>Do enumerations in an AdsorbML style<a class="headerlink" href="#do-enumerations-in-an-adsorbml-style" title="Link to this heading">#</a></h2>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Instantiate the reaction class for the reaction of interest</span>
+<span class="n">reaction</span> <span class="o">=</span> <span class="n">Reaction</span><span class="p">(</span><span class="n">reaction_str_from_db</span><span class="o">=</span><span class="s2">&quot;*CH -&gt; *C + *H&quot;</span><span class="p">,</span>
+                    <span class="n">reaction_db_path</span><span class="o">=</span><span class="n">DISSOCIATION_REACTION_DB_PATH</span><span class="p">,</span>
+                    <span class="n">adsorbate_db_path</span> <span class="o">=</span> <span class="n">ADSORBATE_PKL_PATH</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Instantiate our adsorbate class for the reactant and product</span>
+<span class="n">reactant</span> <span class="o">=</span> <span class="n">Adsorbate</span><span class="p">(</span><span class="n">adsorbate_id_from_db</span><span class="o">=</span><span class="n">reaction</span><span class="o">.</span><span class="n">reactant1_idx</span><span class="p">,</span> <span class="n">adsorbate_db_path</span><span class="o">=</span><span class="n">ADSORBATE_PKL_PATH</span><span class="p">)</span>
+<span class="n">product1</span> <span class="o">=</span> <span class="n">Adsorbate</span><span class="p">(</span><span class="n">adsorbate_id_from_db</span><span class="o">=</span><span class="n">reaction</span><span class="o">.</span><span class="n">product1_idx</span><span class="p">,</span> <span class="n">adsorbate_db_path</span><span class="o">=</span><span class="n">ADSORBATE_PKL_PATH</span><span class="p">)</span>
+<span class="n">product2</span> <span class="o">=</span> <span class="n">Adsorbate</span><span class="p">(</span><span class="n">adsorbate_id_from_db</span><span class="o">=</span><span class="n">reaction</span><span class="o">.</span><span class="n">product2_idx</span><span class="p">,</span> <span class="n">adsorbate_db_path</span><span class="o">=</span><span class="n">ADSORBATE_PKL_PATH</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Grab the bulk and cut the slab we are interested in</span>
+<span class="n">bulk</span> <span class="o">=</span> <span class="n">Bulk</span><span class="p">(</span><span class="n">bulk_src_id_from_db</span><span class="o">=</span><span class="s2">&quot;mp-33&quot;</span><span class="p">,</span> <span class="n">bulk_db_path</span><span class="o">=</span><span class="n">BULK_PKL_PATH</span><span class="p">)</span>
+<span class="n">slab</span> <span class="o">=</span> <span class="n">Slab</span><span class="o">.</span><span class="n">from_bulk_get_specific_millers</span><span class="p">(</span><span class="n">bulk</span> <span class="o">=</span> <span class="n">bulk</span><span class="p">,</span> <span class="n">specific_millers</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Perform site enumeration</span>
+<span class="c1"># For AdsorbML num_sites = 100, but we use 5 here for brevity. This should be increased for practical use.</span>
+<span class="n">reactant_configs</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slab</span> <span class="o">=</span> <span class="n">slab</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate</span> <span class="o">=</span> <span class="n">reactant</span><span class="p">,</span>
+                                       <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;random_site_heuristic_placement&quot;</span><span class="p">,</span>
+                                       <span class="n">num_sites</span> <span class="o">=</span> <span class="mi">5</span><span class="p">)</span><span class="o">.</span><span class="n">atoms_list</span>
+<span class="n">product1_configs</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slab</span> <span class="o">=</span> <span class="n">slab</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate</span> <span class="o">=</span> <span class="n">product1</span><span class="p">,</span>
+                                      <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;random_site_heuristic_placement&quot;</span><span class="p">,</span>
+                                      <span class="n">num_sites</span> <span class="o">=</span> <span class="mi">5</span><span class="p">)</span><span class="o">.</span><span class="n">atoms_list</span>
+<span class="n">product2_configs</span> <span class="o">=</span> <span class="n">AdsorbateSlabConfig</span><span class="p">(</span><span class="n">slab</span> <span class="o">=</span> <span class="n">slab</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">adsorbate</span> <span class="o">=</span> <span class="n">product2</span><span class="p">,</span>
+                                      <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;random_site_heuristic_placement&quot;</span><span class="p">,</span>
+                                      <span class="n">num_sites</span> <span class="o">=</span> <span class="mi">5</span><span class="p">)</span><span class="o">.</span><span class="n">atoms_list</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Instantiate the calculator</span>
+<span class="c1"># NOTE: If you have a GPU, use cpu = False</span>
+<span class="c1"># NOTE: Change the checkpoint path to locally downloaded files as needed</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+<span class="n">cpu</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="n">calc</span> <span class="o">=</span> <span class="n">OCPCalculator</span><span class="p">(</span><span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">checkpoint_path</span><span class="p">,</span> <span class="n">cpu</span> <span class="o">=</span> <span class="n">cpu</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Relax the reactant systems</span>
+<span class="n">reactant_energies</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">config</span> <span class="ow">in</span> <span class="n">reactant_configs</span><span class="p">:</span>
+    <span class="n">config</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+    <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
+    <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span> <span class="o">=</span> <span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span>
+    <span class="n">reactant_energies</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Relax the product systems</span>
+<span class="n">product1_energies</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">config</span> <span class="ow">in</span> <span class="n">product1_configs</span><span class="p">:</span>
+    <span class="n">config</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+    <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
+    <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span> <span class="o">=</span> <span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span>
+    <span class="n">product1_energies</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">product2_energies</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">config</span> <span class="ow">in</span> <span class="n">product2_configs</span><span class="p">:</span>
+    <span class="n">config</span><span class="o">.</span><span class="n">calc</span> <span class="o">=</span> <span class="n">calc</span>
+    <span class="n">opt</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
+    <span class="n">opt</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span> <span class="o">=</span> <span class="mf">0.05</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span>
+    <span class="n">product2_energies</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="enumerate-nebs">
+<h2>Enumerate NEBs<a class="headerlink" href="#enumerate-nebs" title="Link to this heading">#</a></h2>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">Image</span><span class="p">(</span><span class="n">filename</span><span class="o">=</span><span class="s2">&quot;dissociation_scheme.png&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">af</span> <span class="o">=</span> <span class="n">AutoFrameDissociation</span><span class="p">(</span>
+            <span class="n">reaction</span> <span class="o">=</span> <span class="n">reaction</span><span class="p">,</span>
+            <span class="n">reactant_system</span> <span class="o">=</span> <span class="n">reactant_configs</span><span class="p">[</span><span class="n">reactant_energies</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">reactant_energies</span><span class="p">))],</span>
+            <span class="n">product1_systems</span> <span class="o">=</span> <span class="n">product1_configs</span><span class="p">,</span>
+            <span class="n">product1_energies</span> <span class="o">=</span> <span class="n">product1_energies</span><span class="p">,</span>
+            <span class="n">product2_systems</span> <span class="o">=</span> <span class="n">product2_configs</span><span class="p">,</span>
+            <span class="n">product2_energies</span> <span class="o">=</span> <span class="n">product2_energies</span><span class="p">,</span>
+            <span class="n">r_product1_max</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="c1">#r1 in the above fig</span>
+            <span class="n">r_product2_max</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="c1">#r3 in the above fig</span>
+            <span class="n">r_product2_min</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="c1">#r2 in the above fig</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">nframes</span> <span class="o">=</span> <span class="mi">10</span>
+<span class="n">frame_sets</span><span class="p">,</span> <span class="n">mapping_idxs</span> <span class="o">=</span> <span class="n">af</span><span class="o">.</span><span class="n">get_neb_frames</span><span class="p">(</span><span class="n">calc</span><span class="p">,</span>
+                               <span class="n">n_frames</span> <span class="o">=</span> <span class="n">nframes</span><span class="p">,</span>
+                               <span class="n">n_pdt1_sites</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="c1"># = 5 in the above fig (step 1)</span>
+                               <span class="n">n_pdt2_sites</span> <span class="o">=</span> <span class="mi">4</span><span class="p">,</span> <span class="c1"># = 5 in the above fig (step 2)</span>
+                              <span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="run-nebs">
+<h2>Run NEBs<a class="headerlink" href="#run-nebs" title="Link to this heading">#</a></h2>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">## This will run all NEBs enumerated - to just run one, run the code cell below.</span>
+<span class="c1"># On GPU, each NEB takes an average of ~1 minute so this could take around a half hour on GPU</span>
+<span class="c1"># But much longer on CPU</span>
+<span class="c1"># Remember that not all NEBs will converge -- the k, nframes would be adjusted to achieve convergence</span>
+
+<span class="c1"># fmax = 0.05 # [eV / ang**2]</span>
+<span class="c1"># delta_fmax_climb = 0.4</span>
+<span class="c1"># converged_idxs = []</span>
+
+<span class="c1"># for idx, frame_set in enumerate(frame_sets):</span>
+<span class="c1">#     neb = OCPNEB(</span>
+<span class="c1">#         frame_set,</span>
+<span class="c1">#         checkpoint_path=checkpoint_path,</span>
+<span class="c1">#         k=1,</span>
+<span class="c1">#         batch_size=8,</span>
+<span class="c1">#         cpu = cpu,</span>
+<span class="c1">#     )</span>
+<span class="c1">#     optimizer = BFGS(</span>
+<span class="c1">#         neb,</span>
+<span class="c1">#         trajectory=f&quot;ch_dissoc_on_Ru_{idx}.traj&quot;,</span>
+<span class="c1">#     )</span>
+<span class="c1">#     conv = optimizer.run(fmax=fmax + delta_fmax_climb, steps=200)</span>
+<span class="c1">#     if conv:</span>
+<span class="c1">#         neb.climb = True</span>
+<span class="c1">#         conv = optimizer.run(fmax=fmax, steps=300)</span>
+<span class="c1">#         if conv:</span>
+<span class="c1">#             converged_idxs.append(idx)</span>
+            
+<span class="c1"># print(converged_idxs)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># If you run the above cell -- dont run this one</span>
+<span class="n">fmax</span> <span class="o">=</span> <span class="mf">0.05</span> <span class="c1"># [eV / ang**2]</span>
+<span class="n">delta_fmax_climb</span> <span class="o">=</span> <span class="mf">0.4</span>
+<span class="n">neb</span> <span class="o">=</span> <span class="n">OCPNEB</span><span class="p">(</span>
+    <span class="n">frame_sets</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+    <span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span>
+    <span class="n">k</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+    <span class="n">batch_size</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span>
+    <span class="n">cpu</span> <span class="o">=</span> <span class="n">cpu</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">optimizer</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span>
+    <span class="n">neb</span><span class="p">,</span>
+    <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;ch_dissoc_on_Ru_0.traj&quot;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">conv</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="n">fmax</span> <span class="o">+</span> <span class="n">delta_fmax_climb</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span>
+<span class="k">if</span> <span class="n">conv</span><span class="p">:</span>
+    <span class="n">neb</span><span class="o">.</span><span class="n">climb</span> <span class="o">=</span> <span class="kc">True</span>
+    <span class="n">conv</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="n">fmax</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">300</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="visualize-the-results">
+<h2>Visualize the results<a class="headerlink" href="#visualize-the-results" title="Link to this heading">#</a></h2>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">optimized_neb</span> <span class="o">=</span> <span class="n">read</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;ch_dissoc_on_Ru_</span><span class="si">{</span><span class="n">converged_idxs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">.traj&quot;</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="o">*</span><span class="n">nframes</span><span class="p">:]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">es</span>  <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">frame</span> <span class="ow">in</span> <span class="n">optimized_neb</span><span class="p">:</span>
+    <span class="n">frame</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+    <span class="n">es</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">frame</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Plot the reaction coordinate</span>
+
+<span class="n">es</span> <span class="o">=</span> <span class="p">[</span><span class="n">e</span> <span class="o">-</span> <span class="n">es</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="n">es</span><span class="p">]</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">es</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;frame number&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;relative energy [eV]&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;CH dissociation on Ru(0001), Ea = </span><span class="si">{</span><span class="nb">max</span><span class="p">(</span><span class="n">es</span><span class="p">)</span><span class="si">:</span><span class="s2">1.2f</span><span class="si">}</span><span class="s2"> eV&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s2">&quot;CH_dissoc_on_Ru_0001.png&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Make an interative html file of the optimized neb trajectory</span>
+<span class="n">x3d</span> <span class="o">=</span> <span class="n">X3D</span><span class="p">(</span><span class="n">optimized_neb</span><span class="p">)</span>
+<span class="n">x3d</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">&quot;optimized_neb_ch_disoc_on_Ru0001.html&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Tutorial for using Fair Chemistry models to relax NEBs</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#set-up-inputs">Set up inputs</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-have-your-own-set-of-neb-frames">If you have your own set of NEB frames</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-have-a-proposed-initial-and-final-frame">If you have a proposed initial and final frame</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#visualize-the-results">Visualize the results</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="tutorial-for-using-fair-chemistry-models-to-relax-nebs">
+<h1>Tutorial for using Fair Chemistry models to relax NEBs<a class="headerlink" href="#tutorial-for-using-fair-chemistry-models-to-relax-nebs" title="Link to this heading">#</a></h1>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ase.optimize</span><span class="w"> </span><span class="kn">import</span> <span class="n">BFGS</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">ase.io</span><span class="w"> </span><span class="kn">import</span> <span class="n">read</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.applications.cattsunami.core.autoframe</span><span class="w"> </span><span class="kn">import</span> <span class="n">interpolate</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.applications.cattsunami.core</span><span class="w"> </span><span class="kn">import</span> <span class="n">OCPNEB</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="c1">#Optional</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">x3dase.x3d</span><span class="w"> </span><span class="kn">import</span> <span class="n">X3D</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
+</pre></div>
+</div>
+</div>
+</div>
+<section id="set-up-inputs">
+<h2>Set up inputs<a class="headerlink" href="#set-up-inputs" title="Link to this heading">#</a></h2>
+<p>Shown here are the values used consistently throughout the paper.</p>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fmax</span> <span class="o">=</span> <span class="mf">0.05</span> <span class="c1"># [eV / ang]</span>
+<span class="n">delta_fmax_climb</span> <span class="o">=</span> <span class="mf">0.4</span> <span class="c1"># this means that when the fmax is below 0.45 eV/Ang climbing image will be turned on</span>
+<span class="n">k</span> <span class="o">=</span> <span class="mi">1</span> <span class="c1"># you may adjust this value as you see fit</span>
+<span class="n">cpu</span> <span class="o">=</span> <span class="kc">True</span> <span class="c1"># set to False if you have a GPU</span>
+
+
+<span class="c1"># NOTE: Change the checkpoint path to locally downloaded files as needed</span>
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="if-you-have-your-own-set-of-neb-frames">
+<h2>If you have your own set of NEB frames<a class="headerlink" href="#if-you-have-your-own-set-of-neb-frames" title="Link to this heading">#</a></h2>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">Load your frames (change to the appropriate loading method)</span>
+<span class="sd">The approach uses ase, so you must provide a list of ase.Atoms objects</span>
+<span class="sd">with the appropriate constraints.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+<span class="n">cwd</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span>
+<span class="n">path_</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">cwd</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">pardir</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">pardir</span><span class="p">))</span>
+<span class="n">path_</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">path_</span><span class="p">,</span> <span class="s2">&quot;src&quot;</span><span class="p">,</span> <span class="s2">&quot;fairchem&quot;</span><span class="p">,</span> <span class="s2">&quot;applications&quot;</span><span class="p">,</span> <span class="s2">&quot;cattsunami&quot;</span><span class="p">,</span> <span class="s2">&quot;tutorial&quot;</span><span class="p">,</span> <span class="s2">&quot;sample_traj.traj&quot;</span><span class="p">)</span>
+<span class="n">frame_set</span> <span class="o">=</span> <span class="n">read</span><span class="p">(</span><span class="n">path_</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10</span><span class="p">]</span> <span class="c1"># Change to the path to your atoms of the frame set</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">neb</span> <span class="o">=</span> <span class="n">OCPNEB</span><span class="p">(</span>
+    <span class="n">frame_set</span><span class="p">,</span>
+    <span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span>
+    <span class="n">k</span><span class="o">=</span><span class="n">k</span><span class="p">,</span>
+    <span class="n">batch_size</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span> <span class="c1"># If you get a memory error, try reducing this to 4</span>
+    <span class="n">cpu</span> <span class="o">=</span> <span class="n">cpu</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">optimizer</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span>
+    <span class="n">neb</span><span class="p">,</span>
+    <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;your-neb.traj&quot;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">conv</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="n">fmax</span> <span class="o">+</span> <span class="n">delta_fmax_climb</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span>
+<span class="k">if</span> <span class="n">conv</span><span class="p">:</span>
+    <span class="n">neb</span><span class="o">.</span><span class="n">climb</span> <span class="o">=</span> <span class="kc">True</span>
+    <span class="n">conv</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="n">fmax</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">300</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="if-you-have-a-proposed-initial-and-final-frame">
+<h2>If you have a proposed initial and final frame<a class="headerlink" href="#if-you-have-a-proposed-initial-and-final-frame" title="Link to this heading">#</a></h2>
+<p>You may use the <code class="docutils literal notranslate"><span class="pre">interpolate</span></code> function we implemented which is very similar to idpp but not sensative to periodic boundary crossings. Alternatively you can adopt whatever interpolation scheme you prefer. The <code class="docutils literal notranslate"><span class="pre">interpolate</span></code> function lacks some of the extra protections implemented in the <code class="docutils literal notranslate"><span class="pre">interpolate_and_correct_frames</span></code> which is used in the CatTSunami enumeration workflow. Care should be taken to ensure the results are reasonable.</p>
+<p>IMPORTANT NOTES:</p>
+<ol class="arabic simple">
+<li><p>Make sure the indices in the initial and final frame map to the same atoms</p></li>
+<li><p>Ensure you have the proper constraints on subsurface atoms</p></li>
+</ol>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">Load your initial and frames (change to the appropriate loading method)</span>
+<span class="sd">The approach uses ase, so you must provide ase.Atoms objects</span>
+<span class="sd">with the appropriate constraints (i.e. fixed subsurface atoms).</span>
+<span class="sd">&quot;&quot;&quot;</span>
+<span class="n">initial_frame</span> <span class="o">=</span> <span class="n">read</span><span class="p">(</span><span class="s2">&quot;path-to-your-initial-atoms.traj&quot;</span><span class="p">)</span>
+<span class="n">final_frame</span> <span class="o">=</span> <span class="n">read</span><span class="p">(</span><span class="s2">&quot;path-to-your-final-atoms.traj&quot;</span><span class="p">)</span>
+<span class="n">num_frames</span> <span class="o">=</span> <span class="mi">10</span> <span class="c1"># you may change this to whatever you like</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">frame_set</span> <span class="o">=</span> <span class="n">interpolate</span><span class="p">(</span><span class="n">initial_frame</span><span class="p">,</span> <span class="n">final_frame</span><span class="p">,</span> <span class="n">num_frames</span><span class="p">)</span>
+
+<span class="n">neb</span> <span class="o">=</span> <span class="n">OCPNEB</span><span class="p">(</span>
+    <span class="n">frame_set</span><span class="p">,</span>
+    <span class="n">checkpoint_path</span><span class="o">=</span><span class="n">checkpoint_path</span><span class="p">,</span>
+    <span class="n">k</span><span class="o">=</span><span class="n">k</span><span class="p">,</span>
+    <span class="n">batch_size</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span> <span class="c1"># If you get a memory error, try reducing this to 4</span>
+    <span class="n">cpu</span> <span class="o">=</span> <span class="n">cpu</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">optimizer</span> <span class="o">=</span> <span class="n">BFGS</span><span class="p">(</span>
+    <span class="n">neb</span><span class="p">,</span>
+    <span class="n">trajectory</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;your-neb.traj&quot;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">conv</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="n">fmax</span> <span class="o">+</span> <span class="n">delta_fmax_climb</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span>
+<span class="k">if</span> <span class="n">conv</span><span class="p">:</span>
+    <span class="n">neb</span><span class="o">.</span><span class="n">climb</span> <span class="o">=</span> <span class="kc">True</span>
+    <span class="n">conv</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fmax</span><span class="o">=</span><span class="n">fmax</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">300</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="visualize-the-results">
+<h2>Visualize the results<a class="headerlink" href="#visualize-the-results" title="Link to this heading">#</a></h2>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">optimized_neb</span> <span class="o">=</span> <span class="n">read</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;your-neb.traj&quot;</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="o">*</span><span class="n">nframes</span><span class="p">:]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">es</span>  <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">frame</span> <span class="ow">in</span> <span class="n">optimized_neb</span><span class="p">:</span>
+    <span class="n">frame</span><span class="o">.</span><span class="n">set_calculator</span><span class="p">(</span><span class="n">calc</span><span class="p">)</span>
+    <span class="n">es</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">frame</span><span class="o">.</span><span class="n">get_potential_energy</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Plot the reaction coordinate</span>
+
+<span class="n">es</span> <span class="o">=</span> <span class="p">[</span><span class="n">e</span> <span class="o">-</span> <span class="n">es</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="n">es</span><span class="p">]</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">es</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;frame number&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;relative energy [eV]&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Ea = </span><span class="si">{</span><span class="nb">max</span><span class="p">(</span><span class="n">es</span><span class="p">)</span><span class="si">:</span><span class="s2">1.2f</span><span class="si">}</span><span class="s2"> eV&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s2">&quot;reaction_coordinate.png&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell tag_skip-execution docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Make an interative html file of the optimized neb trajectory</span>
+<span class="n">x3d</span> <span class="o">=</span> <span class="n">X3D</span><span class="p">(</span><span class="n">optimized_neb</span><span class="p">)</span>
+<span class="n">x3d</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">&quot;your-neb.html&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+
+    <script type="text/x-thebe-config">
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#set-up-inputs">Set up inputs</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-have-your-own-set-of-neb-frames">If you have your own set of NEB frames</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-have-a-proposed-initial-and-final-frame">If you have a proposed initial and final frame</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#visualize-the-results">Visualize the results</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/client/client/index.html">ocpapi.client.client</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/client/ui/index.html">ocpapi.client.ui</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../autoapi/ocpapi/version/index.html">ocpapi.version</a></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/ocpapi/workflows/index.html">ocpapi.workflows</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/filter/index.html">ocpapi.workflows.filter</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../autoapi/ocpapi/workflows/retry/index.html">ocpapi.workflows.retry</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../autoapi/cattsunami/index.html">cattsunami</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../autoapi/cattsunami/core/index.html">cattsunami.core</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/autoframe/index.html">cattsunami.core.autoframe</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/ocpneb/index.html">cattsunami.core.ocpneb</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../autoapi/cattsunami/core/reaction/index.html">cattsunami.core.reaction</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../autoapi/cattsunami/databases/index.html">cattsunami.databases</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Notebook execution times</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../execution_time.html">Notebook execution times</a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Intro and background on OCP and DFT</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Intro and background on OCP and DFT</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#abstract">Abstract</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#walkthrough-video">Walkthrough video</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#introduction">Introduction</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#models">Models</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#datasets-tasks">Datasets / Tasks</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#checkpoints">Checkpoints</a></li>
+</ul>
+</li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#goals-for-this-tutorial">Goals for this tutorial</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#about-the-compute-environment">About the compute environment</a></li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="intro-and-background-on-ocp-and-dft">
+<h1>Intro and background on OCP and DFT<a class="headerlink" href="#intro-and-background-on-ocp-and-dft" title="Link to this heading">#</a></h1>
+</section>
+<section id="abstract">
+<h1>Abstract<a class="headerlink" href="#abstract" title="Link to this heading">#</a></h1>
+<p>The most recent, state of the art machine learned potentials in atomistic simulations are based on graph models that are trained on large (1M+) datasets. These models can be downloaded and used in a wide array of applications ranging from catalysis to materials properties. These pre-trained models can be used on their own, to accelerate DFT calculation, and they can also be used as a starting point to fine-tune new models for specific tasks. In this workshop we will focus on large, graph-based, pre-trained  machine learned models from the Open Catalyst Project (OCP) to showcase how they can be used for these purposes. OCP provides several pre-trained models for a variety of tasks related to atomistic simulations. We will explain what these models are, how they differ, and details of the datasets they are trained from.  We will introduce an Atomic Simulation Environment (ase) calculator that leverages an OCP pre-trained model for typical simulation tasks including adsorbate geometry relaxation, adsorption energy calculations, and reaction energies. We will show how pre-trained models can be fine-tuned on new data sets for new tasks. We will also discuss current limitations of the models and opportunities for future research. Participants will need a laptop with internet capability.</p>
+</section>
+<section id="walkthrough-video">
+<h1>Walkthrough video<a class="headerlink" href="#walkthrough-video" title="Link to this heading">#</a></h1>
+<iframe width="560" height="315" src="https://www.youtube.com/embed/0wb0FTa7SV0?si=6gPgj0Pv9jfNT8Go" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></section>
+<section id="introduction">
+<h1>Introduction<a class="headerlink" href="#introduction" title="Link to this heading">#</a></h1>
+<p>Density functional theory (DFT) has been a mainstay in molecular simulation, but its high computational cost limits the number and size of simulations that are practical. Over the past two decades machine learning has increasingly been used to build surrogate models to supplement DFT. We call these models machine learned potentials (MLP) In the early days, neural networks were trained using the cartesian coordinates of atomistic systems as features with some success. These features lack important physical properties, notably they lack invariance to rotations, translations and permutations, and they are extensive features, which limit them to the specific system being investigated. About 15 years ago, a new set of features called symmetry functions were developed that were intensive, and which had these invariances. These functions enabled substantial progress in MLP, but they had a few important limitations. First, the size of the feature vector scaled quadratically with the number of elements, practically limiting the MLP to 4-5 elements. Second, composition was usually implicit in the functions, which limited the transferrability of the MLP to new systems. Finally, these functions were “hand-crafted”, with limited or no adaptability to the systems being explored, thus one needed to use judgement and experience to select them. While progess has been made in mitigating these limitations, a new approach has overtaken these methods.</p>
+<p>Today, the state of the art in machine learned potentials uses graph convolutions to generate the feature vectors. In this approach, atomistic systems are represented as graphs where each node is an atom, and the edges connect the nodes (atoms) and roughly represent interactions or bonds between atoms. Then, there are machine learnable convolution functions that operate on the graph to generate feature vectors. These operators can work on pairs, triplets and quadruplets of nodes to compute “messages” that are passed to the central node (atom) and accumulated into the feature vector. This feature generate method can be constructed with all the desired invariances, the functions are machine learnable, and adapt to the systems being studied, and it scales well to high numbers of elements (the current models handle 50+ elements). These kind of MLPs began appearing regularly in the literature around 2016.</p>
+<p>Today an MLP consists of three things:</p>
+<ol class="arabic simple">
+<li><p>A model that takes an atomistic system, generates features and relates those features to some output.</p></li>
+<li><p>A dataset that provides the atomistic systems and the desired output labels. This label could be energy, forces, or other atomistic properties.</p></li>
+<li><p>A checkpoint that stores the trained model for use in predictions.</p></li>
+</ol>
+<p>The <a class="reference external" href="https://github.com/FAIR-Chem/">FAIRChem (Formerly Open Catalyst Project [OCP])</a> is an umbrella for these machine learned potential models, data sets, and checkpoints from training.</p>
+<section id="models">
+<h2>Models<a class="headerlink" href="#models" title="Link to this heading">#</a></h2>
+<p>FAIRChem provides several <a class="reference internal" href="#../core/models"><span class="xref myst">models</span></a>. Each model represents a different approach to featurization, and a different machine learning architecture. The models can be used for different tasks, and you will find different checkpoints associated with different datasets and tasks.</p>
+</section>
+<section id="datasets-tasks">
+<h2>Datasets / Tasks<a class="headerlink" href="#datasets-tasks" title="Link to this heading">#</a></h2>
+<p>FAIRChem provides several different datasets like <a class="reference internal" href="../core/datasets/oc20.html"><span class="doc std std-doc">OC20</span></a> that correspond to different tasks that range from predicting energy and forces from structures to Bader charges, relaxation energies, and others.</p>
+</section>
+<section id="checkpoints">
+<h2>Checkpoints<a class="headerlink" href="#checkpoints" title="Link to this heading">#</a></h2>
+<p>To use a pre-trained model you need to have <a class="reference external" href="https://github.com/FAIR-Chem/fairchem">fairchem-core</a> installed. Then you need to choose a checkpoint and config file which will be loaded to configure FAIRChem for the predictions you want to make. There are two approaches to running FAIRChem, via scripts in a shell, or using an ASE compatible calculator.</p>
+<p>We will focus on the ASE compatible calculator here. To facilitate using the checkpoints, there is a set of <a class="reference internal" href="#./ocp-tutorial"><span class="xref myst">utilities</span></a> for this tutorial. You can list the checkpoints that are readily available here:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">available_pretrained_models</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">available_pretrained_models</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;CGCNN-S2EF-OC20-200k&#39;, &#39;CGCNN-S2EF-OC20-2M&#39;, &#39;CGCNN-S2EF-OC20-20M&#39;, &#39;CGCNN-S2EF-OC20-All&#39;, &#39;DimeNet-S2EF-OC20-200k&#39;, &#39;DimeNet-S2EF-OC20-2M&#39;, &#39;SchNet-S2EF-OC20-200k&#39;, &#39;SchNet-S2EF-OC20-2M&#39;, &#39;SchNet-S2EF-OC20-20M&#39;, &#39;SchNet-S2EF-OC20-All&#39;, &#39;DimeNet++-S2EF-OC20-200k&#39;, &#39;DimeNet++-S2EF-OC20-2M&#39;, &#39;DimeNet++-S2EF-OC20-20M&#39;, &#39;DimeNet++-S2EF-OC20-All&#39;, &#39;SpinConv-S2EF-OC20-2M&#39;, &#39;SpinConv-S2EF-OC20-All&#39;, &#39;GemNet-dT-S2EF-OC20-2M&#39;, &#39;GemNet-dT-S2EF-OC20-All&#39;, &#39;PaiNN-S2EF-OC20-All&#39;, &#39;GemNet-OC-S2EF-OC20-2M&#39;, &#39;GemNet-OC-S2EF-OC20-All&#39;, &#39;GemNet-OC-S2EF-OC20-All+MD&#39;, &#39;GemNet-OC-Large-S2EF-OC20-All+MD&#39;, &#39;SCN-S2EF-OC20-2M&#39;, &#39;SCN-t4-b2-S2EF-OC20-2M&#39;, &#39;SCN-S2EF-OC20-All+MD&#39;, &#39;eSCN-L4-M2-Lay12-S2EF-OC20-2M&#39;, &#39;eSCN-L6-M2-Lay12-S2EF-OC20-2M&#39;, &#39;eSCN-L6-M2-Lay12-S2EF-OC20-All+MD&#39;, &#39;eSCN-L6-M3-Lay20-S2EF-OC20-All+MD&#39;, &#39;EquiformerV2-83M-S2EF-OC20-2M&#39;, &#39;EquiformerV2-31M-S2EF-OC20-All+MD&#39;, &#39;EquiformerV2-153M-S2EF-OC20-All+MD&#39;, &#39;SchNet-S2EF-force-only-OC20-All&#39;, &#39;DimeNet++-force-only-OC20-All&#39;, &#39;DimeNet++-Large-S2EF-force-only-OC20-All&#39;, &#39;DimeNet++-S2EF-force-only-OC20-20M+Rattled&#39;, &#39;DimeNet++-S2EF-force-only-OC20-20M+MD&#39;, &#39;CGCNN-IS2RE-OC20-10k&#39;, &#39;CGCNN-IS2RE-OC20-100k&#39;, &#39;CGCNN-IS2RE-OC20-All&#39;, &#39;DimeNet-IS2RE-OC20-10k&#39;, &#39;DimeNet-IS2RE-OC20-100k&#39;, &#39;DimeNet-IS2RE-OC20-all&#39;, &#39;SchNet-IS2RE-OC20-10k&#39;, &#39;SchNet-IS2RE-OC20-100k&#39;, &#39;SchNet-IS2RE-OC20-All&#39;, &#39;DimeNet++-IS2RE-OC20-10k&#39;, &#39;DimeNet++-IS2RE-OC20-100k&#39;, &#39;DimeNet++-IS2RE-OC20-All&#39;, &#39;PaiNN-IS2RE-OC20-All&#39;, &#39;GemNet-dT-S2EFS-OC22&#39;, &#39;GemNet-OC-S2EFS-OC22&#39;, &#39;GemNet-OC-S2EFS-OC20+OC22&#39;, &#39;GemNet-OC-S2EFS-nsn-OC20+OC22&#39;, &#39;GemNet-OC-S2EFS-OC20-&gt;OC22&#39;, &#39;EquiformerV2-lE4-lF100-S2EFS-OC22&#39;, &#39;SchNet-S2EF-ODAC&#39;, &#39;DimeNet++-S2EF-ODAC&#39;, &#39;PaiNN-S2EF-ODAC&#39;, &#39;GemNet-OC-S2EF-ODAC&#39;, &#39;eSCN-S2EF-ODAC&#39;, &#39;EquiformerV2-S2EF-ODAC&#39;, &#39;EquiformerV2-Large-S2EF-ODAC&#39;, &#39;Gemnet-OC-IS2RE-ODAC&#39;, &#39;eSCN-IS2RE-ODAC&#39;, &#39;EquiformerV2-IS2RE-ODAC&#39;)
+</pre></div>
+</div>
+</div>
+</div>
+<p>You can get a checkpoint file with one of the keys listed above like this. The resulting string is the name of the file downloaded, and you use that when creating an OCP calculator later.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.models.model_registry</span><span class="w"> </span><span class="kn">import</span> <span class="n">model_name_to_local_file</span>
+
+<span class="n">checkpoint_path</span> <span class="o">=</span> <span class="n">model_name_to_local_file</span><span class="p">(</span><span class="s1">&#39;GemNet-OC-S2EFS-OC20+OC22&#39;</span><span class="p">,</span> <span class="n">local_cache</span><span class="o">=</span><span class="s1">&#39;/tmp/fairchem_checkpoints/&#39;</span><span class="p">)</span>
+<span class="n">checkpoint_path</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/fairchem_checkpoints/gnoc_oc22_oc20_all_s2ef.pt&#39;
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="goals-for-this-tutorial">
+<h1>Goals for this tutorial<a class="headerlink" href="#goals-for-this-tutorial" title="Link to this heading">#</a></h1>
+<p>This tutorial will start by using OCP in a Jupyter notebook to setup some simple calculations that use OCP to compute energy and forces, for structure optimization, and then an example of fine-tuning a model with new data.</p>
+</section>
+<section id="about-the-compute-environment">
+<h1>About the compute environment<a class="headerlink" href="#about-the-compute-environment" title="Link to this heading">#</a></h1>
+<p><code class="docutils literal notranslate"><span class="pre">ocpmodels.common.tutorial_utils</span></code>  provides <code class="docutils literal notranslate"><span class="pre">describe_fairchem</span></code> to output information that might be helpful in debugging.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fairchem.core.common.tutorial_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">describe_fairchem</span>
+<span class="n">describe_fairchem</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.12.8/x64/bin/python 3.12.8 (main, Dec  4 2024, 06:20:31) [GCC 13.2.0]
+fairchem is installed at /home/runner/work/fairchem/fairchem/src/fairchem
+fairchem repo is at git commit: c162617
+numba: 0.61.0
+numpy: 1.26.4
+ase: 3.24.0
+e3nn: 0.5.4
+pymatgen: 2025.1.9
+torch: 2.4.0+cu121
+torch.version.cuda: 12.1
+torch.cuda: is_available: False
+torch geometric: 2.6.1
+
+Platform: Linux-6.8.0-1017-azure-x86_64-with-glibc2.39
+  Processor: x86_64
+  Virtual memory: svmem(total=16766779392, available=14358142976, percent=14.4, used=1968771072, free=6817513472, active=2631761920, inactive=6525394944, buffers=223027200, cached=7757467648, shared=76677120, slab=511889408)
+  Swap memory: sswap(total=4294963200, used=798720, free=4294164480, percent=0.0, sin=0, sout=57344)
+  Disk usage: sdiskusage(total=76887154688, used=61554577408, free=15315800064, percent=80.1)
+</pre></div>
+</div>
+</div>
+</div>
+<p>Let’s get started! Click here to open the <a class="reference internal" href="OCP-introduction.html"><span class="doc std std-doc">next notebook</span></a>.</p>
+</section>
+
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+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#walkthrough-video">Walkthrough video</a></li>
+<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#introduction">Introduction</a><ul class="visible nav section-nav flex-column">
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+</ul>
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+<ul class="nav bd-sidenav">
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+</ul>
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+<ul class="nav bd-sidenav">
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+<li class="toctree-l1"><a class="reference internal" href="../core/datasets/oc20dense.html">Open Catalyst 2020 Dense (OC20Dense)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../core/datasets/oc20neb.html">Open Catalyst 2020 Nudged Elastic Band (OC20NEB)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../core/datasets/omat24.html">Open Materials 2024 (OMat24)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../core/datasets/ocx24.html">Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../core/model_checkpoints.html">Pretrained FAIRChem models</a></li>
+
+
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Making your own datasets</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../core/ase_dataset_creation.html">Making and using ASE datasets</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../core/lmdb_dataset_creation.html">Making LMDB Datasets (original format, deprecated for ASE LMDBs)</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Model development, training, inference, finetuning</span></p>
+<ul class="nav bd-sidenav">
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+</ul>
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+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/intro.html">Intro and background on OCP and DFT</a></li>
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+
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/fairchem_models_for_nebs.html">Tutorial for using Fair Chemistry models to relax NEBs</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../tutorials/NRR/NRR_toc.html">Screening catalysts with OCP</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/NRR/NRR_example.html">Using OCP to enumerate adsorbates on alloy catalyst surfaces</a></li>
+
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+
+
+
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+</ul>
+</details></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../tutorials/advanced/advanced_toc.html">Advanced OCP usage</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/advanced/fine-tuning-in-python.html">Fine-tuning with Python</a></li>
+
+
+
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/advanced/embeddings.html">Working with embeddings</a></li>
+
+
+
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../legacy_tutorials/legacy_tutorials.html">Legacy [deprecated] Tutorials</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+
+
+<li class="toctree-l2"><a class="reference internal" href="../legacy_tutorials/data_preprocessing.html">OCP Data Preprocessing Tutorial</a></li>
+
+
+
+<li class="toctree-l2"><a class="reference internal" href="../legacy_tutorials/data_visualization.html">OCP Data Visualization</a></li>
+
+</ul>
+</details></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">fairchem documentation</span></p>
+<ul class="nav bd-sidenav">
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+    <h1>Technical presentations</h1>
+    <!-- Table of contents -->
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+                  
+  <section class="tex2jax_ignore mathjax_ignore" id="technical-presentations">
+<h1>Technical presentations<a class="headerlink" href="#technical-presentations" title="Link to this heading">#</a></h1>
+<p>To hear about some of the latest research directions for OCP, check out the following recorded presentations!</p>
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+</section>
+
+    <script type="text/x-thebe-config">
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+        binderOptions: {
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+            theme: "abcdef",
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+        kernelOptions: {
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